/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) Available GPUs: 1 RANK and WORLD_SIZE in environment: 0/1 Image size: 480 loading dataset refcocog into memory... creating index... index created. DONE (t=4.32s) loading dataset refcocog into memory... creating index... index created. DONE (t=4.36s) 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 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)) Epoch: [0] [ 0/5278] eta: 7:35:34 lr: 4.9999786851029476e-05 loss: 0.8315 (0.8315) loss_seg: 0.7872 (0.7872) loss_lansim: 0.2012 (0.2012) loss_contra: 4.2323 (4.2323) time: 5.1790 data: 1.5275 max mem: 28242 Epoch: [0] [ 10/5278] eta: 4:23:24 lr: 4.999765535577125e-05 loss: 0.7868 (0.7875) loss_seg: 0.7469 (0.7466) loss_lansim: 0.1800 (0.1657) loss_contra: 3.8872 (3.9208) time: 3.0002 data: 0.1432 max mem: 31616 Epoch: [0] [ 20/5278] eta: 4:14:26 lr: 4.9995523850416324e-05 loss: 0.7337 (0.7201) loss_seg: 0.6955 (0.6824) loss_lansim: 0.1706 (0.1672) loss_contra: 3.6353 (3.6058) time: 2.9035 data: 0.0771 max mem: 31623 Epoch: [0] [ 30/5278] eta: 4:11:58 lr: 4.9993392334964207e-05 loss: 0.6485 (0.6650) loss_seg: 0.6125 (0.6317) loss_lansim: 0.1601 (0.1613) loss_contra: 3.3098 (3.1720) time: 2.8809 data: 0.0540 max mem: 31623 Epoch: [0] [ 40/5278] eta: 4:10:46 lr: 4.999126080941435e-05 loss: 0.6115 (0.6198) loss_seg: 0.5780 (0.5908) loss_lansim: 0.1633 (0.1617) loss_contra: 2.9888 (2.7305) time: 2.8725 data: 0.0422 max mem: 31623 Epoch: [0] [ 50/5278] eta: 4:09:26 lr: 4.998912927376624e-05 loss: 0.5499 (0.5853) loss_seg: 0.5314 (0.5593) loss_lansim: 0.1601 (0.1609) loss_contra: 2.4720 (2.4430) time: 2.8628 data: 0.0350 max mem: 31623 Epoch: [0] [ 60/5278] eta: 4:09:25 lr: 4.9986997728019336e-05 loss: 0.5143 (0.5504) loss_seg: 0.4986 (0.5261) loss_lansim: 0.1615 (0.1622) loss_contra: 2.0299 (2.2648) time: 2.8680 data: 0.0302 max mem: 31623 Epoch: [0] [ 70/5278] eta: 4:08:26 lr: 4.998486617217312e-05 loss: 0.4991 (0.5199) loss_seg: 0.4828 (0.4975) loss_lansim: 0.1601 (0.1594) loss_contra: 1.6826 (2.0795) time: 2.8622 data: 0.0267 max mem: 31623 Epoch: [0] [ 80/5278] eta: 4:08:03 lr: 4.998273460622707e-05 loss: 0.4748 (0.4991) loss_seg: 0.4611 (0.4784) loss_lansim: 0.1571 (0.1566) loss_contra: 1.5866 (1.9145) time: 2.8633 data: 0.0241 max mem: 31623 Epoch: [0] [ 90/5278] eta: 4:07:07 lr: 4.998060303018065e-05 loss: 0.4477 (0.4817) loss_seg: 0.4311 (0.4622) loss_lansim: 0.1530 (0.1534) loss_contra: 1.3867 (1.7932) time: 2.8580 data: 0.0220 max mem: 31623 Epoch: [0] [ 100/5278] eta: 4:06:50 lr: 4.9978471444033336e-05 loss: 0.4284 (0.4704) loss_seg: 0.4077 (0.4520) loss_lansim: 0.1493 (0.1529) loss_contra: 1.2582 (1.6865) time: 2.8372 data: 0.0053 max mem: 31623 Epoch: [0] [ 110/5278] eta: 4:06:10 lr: 4.997633984778461e-05 loss: 0.3959 (0.4577) loss_seg: 0.3841 (0.4403) loss_lansim: 0.1481 (0.1509) loss_contra: 1.0199 (1.5926) time: 2.8424 data: 0.0053 max mem: 31623 Epoch: [0] [ 120/5278] eta: 4:05:56 lr: 4.9974208241433936e-05 loss: 0.3680 (0.4465) loss_seg: 0.3573 (0.4298) loss_lansim: 0.1456 (0.1497) loss_contra: 0.9432 (1.5192) time: 2.8519 data: 0.0054 max mem: 31623 Epoch: [0] [ 130/5278] eta: 4:05:19 lr: 4.99720766249808e-05 loss: 0.3447 (0.4395) loss_seg: 0.3362 (0.4237) loss_lansim: 0.1393 (0.1483) loss_contra: 0.7580 (1.4366) time: 2.8526 data: 0.0054 max mem: 31623 Epoch: [0] [ 140/5278] eta: 4:04:42 lr: 4.996994499842465e-05 loss: 0.3358 (0.4323) loss_seg: 0.3266 (0.4170) loss_lansim: 0.1331 (0.1475) loss_contra: 0.7282 (1.3786) time: 2.8515 data: 0.0054 max mem: 31623 Epoch: [0] [ 150/5278] eta: 4:04:14 lr: 4.996781336176498e-05 loss: 0.3259 (0.4238) loss_seg: 0.3167 (0.4091) loss_lansim: 0.1321 (0.1470) loss_contra: 0.6874 (1.3276) time: 2.8551 data: 0.0054 max mem: 31623 Epoch: [0] [ 160/5278] eta: 4:03:49 lr: 4.996568171500126e-05 loss: 0.3142 (0.4170) loss_seg: 0.3057 (0.4027) loss_lansim: 0.1321 (0.1472) loss_contra: 0.6513 (1.2771) time: 2.8526 data: 0.0053 max mem: 31623 Epoch: [0] [ 170/5278] eta: 4:03:12 lr: 4.996355005813296e-05 loss: 0.3135 (0.4105) loss_seg: 0.3057 (0.3967) loss_lansim: 0.1338 (0.1471) loss_contra: 0.5763 (1.2289) time: 2.8530 data: 0.0053 max mem: 31623 Epoch: [0] [ 180/5278] eta: 4:02:47 lr: 4.996141839115956e-05 loss: 0.3117 (0.4063) loss_seg: 0.3032 (0.3930) loss_lansim: 0.1324 (0.1463) loss_contra: 0.5516 (1.1893) time: 2.8528 data: 0.0053 max mem: 31623 Epoch: [0] [ 190/5278] eta: 4:02:11 lr: 4.9959286714080524e-05 loss: 0.3135 (0.4029) loss_seg: 0.3057 (0.3900) loss_lansim: 0.1367 (0.1454) loss_contra: 0.5325 (1.1502) time: 2.8543 data: 0.0053 max mem: 31623 Epoch: [0] [ 200/5278] eta: 4:01:43 lr: 4.995715502689532e-05 loss: 0.3119 (0.3990) loss_seg: 0.3048 (0.3864) loss_lansim: 0.1319 (0.1443) loss_contra: 0.5077 (1.1176) time: 2.8518 data: 0.0052 max mem: 31623 Epoch: [0] [ 210/5278] eta: 4:01:16 lr: 4.9955023329603445e-05 loss: 0.3119 (0.3968) loss_seg: 0.3029 (0.3845) loss_lansim: 0.1359 (0.1438) loss_contra: 0.4892 (1.0867) time: 2.8547 data: 0.0051 max mem: 31623 Epoch: [0] [ 220/5278] eta: 4:00:49 lr: 4.9952891622204344e-05 loss: 0.3119 (0.3932) loss_seg: 0.3029 (0.3812) loss_lansim: 0.1367 (0.1434) loss_contra: 0.4445 (1.0550) time: 2.8517 data: 0.0051 max mem: 31623 Epoch: [0] [ 230/5278] eta: 4:00:27 lr: 4.995075990469751e-05 loss: 0.3047 (0.3893) loss_seg: 0.2990 (0.3776) loss_lansim: 0.1367 (0.1430) loss_contra: 0.4445 (1.0340) time: 2.8566 data: 0.0051 max mem: 31623 Epoch: [0] [ 240/5278] eta: 3:59:53 lr: 4.99486281770824e-05 loss: 0.3027 (0.3854) loss_seg: 0.2939 (0.3738) loss_lansim: 0.1371 (0.1428) loss_contra: 0.4605 (1.0153) time: 2.8560 data: 0.0050 max mem: 31623 Epoch: [0] [ 250/5278] eta: 3:59:31 lr: 4.9946496439358506e-05 loss: 0.3027 (0.3819) loss_seg: 0.2939 (0.3705) loss_lansim: 0.1374 (0.1438) loss_contra: 0.4440 (0.9918) time: 2.8593 data: 0.0050 max mem: 31623 Epoch: [0] [ 260/5278] eta: 3:59:03 lr: 4.994436469152528e-05 loss: 0.3044 (0.3798) loss_seg: 0.2985 (0.3686) loss_lansim: 0.1347 (0.1433) loss_contra: 0.4445 (0.9790) time: 2.8585 data: 0.0050 max mem: 31623 Epoch: [0] [ 270/5278] eta: 3:58:44 lr: 4.99422329335822e-05 loss: 0.3057 (0.3780) loss_seg: 0.2985 (0.3669) loss_lansim: 0.1347 (0.1432) loss_contra: 0.4835 (0.9697) time: 2.8665 data: 0.0050 max mem: 31623 Epoch: [0] [ 280/5278] eta: 3:58:14 lr: 4.9940101165528746e-05 loss: 0.3057 (0.3762) loss_seg: 0.2985 (0.3652) loss_lansim: 0.1300 (0.1426) loss_contra: 0.4835 (0.9522) time: 2.8644 data: 0.0050 max mem: 31623 Epoch: [0] [ 290/5278] eta: 3:57:52 lr: 4.993796938736439e-05 loss: 0.3042 (0.3742) loss_seg: 0.2964 (0.3635) loss_lansim: 0.1300 (0.1422) loss_contra: 0.4445 (0.9337) time: 2.8715 data: 0.0050 max mem: 31623 Epoch: [0] [ 300/5278] eta: 3:57:25 lr: 4.99358375990886e-05 loss: 0.3027 (0.3725) loss_seg: 0.2940 (0.3618) loss_lansim: 0.1304 (0.1416) loss_contra: 0.5007 (0.9254) time: 2.8732 data: 0.0051 max mem: 31623 Epoch: [0] [ 310/5278] eta: 3:57:00 lr: 4.9933705800700855e-05 loss: 0.3027 (0.3699) loss_seg: 0.2939 (0.3594) loss_lansim: 0.1300 (0.1412) loss_contra: 0.4835 (0.9157) time: 2.8748 data: 0.0052 max mem: 31623 Epoch: [0] [ 320/5278] eta: 3:56:33 lr: 4.993157399220061e-05 loss: 0.2981 (0.3671) loss_seg: 0.2915 (0.3566) loss_lansim: 0.1299 (0.1405) loss_contra: 0.5092 (0.9051) time: 2.8759 data: 0.0052 max mem: 31623 Epoch: [0] [ 330/5278] eta: 3:56:04 lr: 4.9929442173587366e-05 loss: 0.2966 (0.3643) loss_seg: 0.2841 (0.3541) loss_lansim: 0.1293 (0.1400) loss_contra: 0.4754 (0.8854) time: 2.8733 data: 0.0052 max mem: 31623 Epoch: [0] [ 340/5278] eta: 3:55:38 lr: 4.992731034486057e-05 loss: 0.2902 (0.3621) loss_seg: 0.2829 (0.3521) loss_lansim: 0.1292 (0.1398) loss_contra: 0.4311 (0.8675) time: 2.8780 data: 0.0053 max mem: 31623 Epoch: [0] [ 350/5278] eta: 3:55:08 lr: 4.99251785060197e-05 loss: 0.2877 (0.3599) loss_seg: 0.2806 (0.3500) loss_lansim: 0.1282 (0.1395) loss_contra: 0.4407 (0.8530) time: 2.8743 data: 0.0053 max mem: 31623 Epoch: [0] [ 360/5278] eta: 3:54:43 lr: 4.992304665706423e-05 loss: 0.2841 (0.3578) loss_seg: 0.2764 (0.3480) loss_lansim: 0.1282 (0.1394) loss_contra: 0.4031 (0.8356) time: 2.8771 data: 0.0053 max mem: 31623 Epoch: [0] [ 370/5278] eta: 3:54:14 lr: 4.992091479799364e-05 loss: 0.2841 (0.3571) loss_seg: 0.2764 (0.3475) loss_lansim: 0.1258 (0.1390) loss_contra: 0.3740 (0.8204) time: 2.8721 data: 0.0053 max mem: 31623 Epoch: [0] [ 380/5278] eta: 3:53:53 lr: 4.9918782928807396e-05 loss: 0.2787 (0.3552) loss_seg: 0.2721 (0.3457) loss_lansim: 0.1235 (0.1385) loss_contra: 0.3208 (0.8060) time: 2.8796 data: 0.0054 max mem: 31623 Epoch: [0] [ 390/5278] eta: 3:53:27 lr: 4.991665104950496e-05 loss: 0.2769 (0.3532) loss_seg: 0.2713 (0.3439) loss_lansim: 0.1221 (0.1383) loss_contra: 0.3214 (0.7937) time: 2.8780 data: 0.0055 max mem: 31623 Epoch: [0] [ 400/5278] eta: 3:52:59 lr: 4.9914519160085815e-05 loss: 0.2708 (0.3510) loss_seg: 0.2661 (0.3418) loss_lansim: 0.1221 (0.1387) loss_contra: 0.3035 (0.7820) time: 2.8781 data: 0.0054 max mem: 31623 Epoch: [0] [ 410/5278] eta: 3:52:38 lr: 4.991238726054944e-05 loss: 0.2698 (0.3499) loss_seg: 0.2657 (0.3409) loss_lansim: 0.1250 (0.1387) loss_contra: 0.2883 (0.7700) time: 2.8831 data: 0.0054 max mem: 31623 Epoch: [0] [ 420/5278] eta: 3:52:06 lr: 4.991025535089529e-05 loss: 0.2679 (0.3479) loss_seg: 0.2646 (0.3389) loss_lansim: 0.1299 (0.1392) loss_contra: 0.2883 (0.7597) time: 2.8797 data: 0.0054 max mem: 31623 Epoch: [0] [ 430/5278] eta: 3:51:38 lr: 4.990812343112285e-05 loss: 0.2679 (0.3466) loss_seg: 0.2646 (0.3377) loss_lansim: 0.1323 (0.1393) loss_contra: 0.2907 (0.7493) time: 2.8804 data: 0.0055 max mem: 31623 Epoch: [0] [ 440/5278] eta: 3:51:14 lr: 4.990599150123158e-05 loss: 0.2695 (0.3454) loss_seg: 0.2649 (0.3366) loss_lansim: 0.1338 (0.1398) loss_contra: 0.2907 (0.7393) time: 2.8836 data: 0.0054 max mem: 31623 Epoch: [0] [ 450/5278] eta: 3:50:40 lr: 4.990385956122097e-05 loss: 0.2683 (0.3438) loss_seg: 0.2653 (0.3351) loss_lansim: 0.1323 (0.1397) loss_contra: 0.2726 (0.7286) time: 2.8801 data: 0.0054 max mem: 31623 Epoch: [0] [ 460/5278] eta: 3:50:15 lr: 4.990172761109047e-05 loss: 0.2681 (0.3423) loss_seg: 0.2649 (0.3338) loss_lansim: 0.1338 (0.1400) loss_contra: 0.2726 (0.7193) time: 2.8817 data: 0.0053 max mem: 31623 Epoch: [0] [ 470/5278] eta: 3:49:46 lr: 4.9899595650839556e-05 loss: 0.2618 (0.3407) loss_seg: 0.2579 (0.3322) loss_lansim: 0.1323 (0.1396) loss_contra: 0.2907 (0.7106) time: 2.8820 data: 0.0053 max mem: 31623 Epoch: [0] [ 480/5278] eta: 3:49:15 lr: 4.989746368046771e-05 loss: 0.2609 (0.3396) loss_seg: 0.2571 (0.3312) loss_lansim: 0.1324 (0.1394) loss_contra: 0.2708 (0.6984) time: 2.8742 data: 0.0052 max mem: 31623 Epoch: [0] [ 490/5278] eta: 3:48:47 lr: 4.9895331699974395e-05 loss: 0.2604 (0.3381) loss_seg: 0.2556 (0.3299) loss_lansim: 0.1324 (0.1390) loss_contra: 0.2181 (0.6883) time: 2.8725 data: 0.0051 max mem: 31623 Epoch: [0] [ 500/5278] eta: 3:48:24 lr: 4.9893199709359095e-05 loss: 0.2604 (0.3365) loss_seg: 0.2549 (0.3284) loss_lansim: 0.1338 (0.1392) loss_contra: 0.2075 (0.6779) time: 2.8776 data: 0.0051 max mem: 31623 Epoch: [0] [ 510/5278] eta: 3:47:59 lr: 4.989106770862127e-05 loss: 0.2609 (0.3359) loss_seg: 0.2571 (0.3278) loss_lansim: 0.1323 (0.1391) loss_contra: 0.2097 (0.6728) time: 2.8761 data: 0.0051 max mem: 31623 Epoch: [0] [ 520/5278] eta: 3:47:31 lr: 4.9888935697760384e-05 loss: 0.2681 (0.3350) loss_seg: 0.2651 (0.3270) loss_lansim: 0.1341 (0.1396) loss_contra: 0.1973 (0.6650) time: 2.8795 data: 0.0051 max mem: 31623 Epoch: [0] [ 530/5278] eta: 3:47:02 lr: 4.988680367677592e-05 loss: 0.2680 (0.3335) loss_seg: 0.2622 (0.3255) loss_lansim: 0.1362 (0.1398) loss_contra: 0.1858 (0.6572) time: 2.8790 data: 0.0051 max mem: 31623 Epoch: [0] [ 540/5278] eta: 3:46:35 lr: 4.988467164566736e-05 loss: 0.2632 (0.3320) loss_seg: 0.2583 (0.3241) loss_lansim: 0.1339 (0.1398) loss_contra: 0.1889 (0.6499) time: 2.8765 data: 0.0052 max mem: 31623 Epoch: [0] [ 550/5278] eta: 3:46:08 lr: 4.988253960443415e-05 loss: 0.2647 (0.3312) loss_seg: 0.2598 (0.3233) loss_lansim: 0.1339 (0.1396) loss_contra: 0.1858 (0.6434) time: 2.8842 data: 0.0052 max mem: 31623 Epoch: [0] [ 560/5278] eta: 3:45:37 lr: 4.988040755307578e-05 loss: 0.2632 (0.3299) loss_seg: 0.2611 (0.3221) loss_lansim: 0.1320 (0.1395) loss_contra: 0.1594 (0.6350) time: 2.8781 data: 0.0054 max mem: 31623 Epoch: [0] [ 570/5278] eta: 3:45:12 lr: 4.98782754915917e-05 loss: 0.2650 (0.3292) loss_seg: 0.2622 (0.3215) loss_lansim: 0.1342 (0.1395) loss_contra: 0.1445 (0.6269) time: 2.8826 data: 0.0055 max mem: 31623 Epoch: [0] [ 580/5278] eta: 3:44:43 lr: 4.987614341998141e-05 loss: 0.2658 (0.3285) loss_seg: 0.2633 (0.3209) loss_lansim: 0.1339 (0.1392) loss_contra: 0.1390 (0.6183) time: 2.8850 data: 0.0057 max mem: 31623 Epoch: [0] [ 590/5278] eta: 3:44:13 lr: 4.987401133824436e-05 loss: 0.2740 (0.3280) loss_seg: 0.2715 (0.3205) loss_lansim: 0.1392 (0.1395) loss_contra: 0.1445 (0.6107) time: 2.8836 data: 0.0058 max mem: 31623 Epoch: [0] [ 600/5278] eta: 3:43:44 lr: 4.9871879246380026e-05 loss: 0.2766 (0.3277) loss_seg: 0.2728 (0.3202) loss_lansim: 0.1392 (0.1396) loss_contra: 0.1575 (0.6071) time: 2.8776 data: 0.0059 max mem: 31623 Epoch: [0] [ 610/5278] eta: 3:43:13 lr: 4.986974714438788e-05 loss: 0.2764 (0.3271) loss_seg: 0.2718 (0.3196) loss_lansim: 0.1377 (0.1393) loss_contra: 0.1761 (0.6055) time: 2.8700 data: 0.0060 max mem: 31623 Epoch: [0] [ 620/5278] eta: 3:42:48 lr: 4.986761503226739e-05 loss: 0.2686 (0.3267) loss_seg: 0.2653 (0.3193) loss_lansim: 0.1310 (0.1390) loss_contra: 0.2116 (0.6051) time: 2.8740 data: 0.0060 max mem: 31623 Epoch: [0] [ 630/5278] eta: 3:42:22 lr: 4.9865482910018036e-05 loss: 0.2673 (0.3255) loss_seg: 0.2633 (0.3181) loss_lansim: 0.1305 (0.1389) loss_contra: 0.2421 (0.6026) time: 2.8781 data: 0.0060 max mem: 31623 Epoch: [0] [ 640/5278] eta: 3:41:54 lr: 4.9863350777639276e-05 loss: 0.2686 (0.3249) loss_seg: 0.2633 (0.3176) loss_lansim: 0.1310 (0.1390) loss_contra: 0.2551 (0.5990) time: 2.8780 data: 0.0061 max mem: 31623 Epoch: [0] [ 650/5278] eta: 3:41:22 lr: 4.986121863513059e-05 loss: 0.2686 (0.3248) loss_seg: 0.2633 (0.3174) loss_lansim: 0.1318 (0.1391) loss_contra: 0.2575 (0.5952) time: 2.8712 data: 0.0062 max mem: 31623 Epoch: [0] [ 660/5278] eta: 3:40:53 lr: 4.985908648249145e-05 loss: 0.2797 (0.3245) loss_seg: 0.2764 (0.3172) loss_lansim: 0.1381 (0.1396) loss_contra: 0.2967 (0.5922) time: 2.8726 data: 0.0062 max mem: 31623 Epoch: [0] [ 670/5278] eta: 3:40:28 lr: 4.985695431972131e-05 loss: 0.2826 (0.3239) loss_seg: 0.2769 (0.3166) loss_lansim: 0.1381 (0.1396) loss_contra: 0.2967 (0.5874) time: 2.8749 data: 0.0062 max mem: 31623 Epoch: [0] [ 680/5278] eta: 3:40:04 lr: 4.985482214681966e-05 loss: 0.2729 (0.3230) loss_seg: 0.2718 (0.3158) loss_lansim: 0.1394 (0.1395) loss_contra: 0.3043 (0.5837) time: 2.8813 data: 0.0062 max mem: 31623 Epoch: [0] [ 690/5278] eta: 3:39:37 lr: 4.985268996378595e-05 loss: 0.2708 (0.3221) loss_seg: 0.2660 (0.3149) loss_lansim: 0.1337 (0.1395) loss_contra: 0.3234 (0.5799) time: 2.8854 data: 0.0061 max mem: 31623 Epoch: [0] [ 700/5278] eta: 3:39:09 lr: 4.9850557770619675e-05 loss: 0.2634 (0.3212) loss_seg: 0.2588 (0.3140) loss_lansim: 0.1318 (0.1394) loss_contra: 0.3038 (0.5747) time: 2.8873 data: 0.0062 max mem: 31623 Epoch: [0] [ 710/5278] eta: 3:38:42 lr: 4.98484255673203e-05 loss: 0.2581 (0.3203) loss_seg: 0.2535 (0.3132) loss_lansim: 0.1337 (0.1393) loss_contra: 0.2713 (0.5693) time: 2.8932 data: 0.0062 max mem: 31623 Epoch: [0] [ 720/5278] eta: 3:38:12 lr: 4.984629335388727e-05 loss: 0.2562 (0.3200) loss_seg: 0.2529 (0.3129) loss_lansim: 0.1381 (0.1393) loss_contra: 0.2614 (0.5650) time: 2.8877 data: 0.0061 max mem: 31623 Epoch: [0] [ 730/5278] eta: 3:37:45 lr: 4.9844161130320084e-05 loss: 0.2610 (0.3196) loss_seg: 0.2569 (0.3126) loss_lansim: 0.1392 (0.1393) loss_contra: 0.2066 (0.5587) time: 2.8869 data: 0.0061 max mem: 31623 Epoch: [0] [ 740/5278] eta: 3:37:18 lr: 4.984202889661819e-05 loss: 0.2648 (0.3190) loss_seg: 0.2628 (0.3121) loss_lansim: 0.1400 (0.1395) loss_contra: 0.2007 (0.5556) time: 2.8884 data: 0.0061 max mem: 31623 Epoch: [0] [ 750/5278] eta: 3:36:47 lr: 4.9839896652781085e-05 loss: 0.2622 (0.3191) loss_seg: 0.2588 (0.3122) loss_lansim: 0.1422 (0.1398) loss_contra: 0.1966 (0.5503) time: 2.8900 data: 0.0061 max mem: 31623 Epoch: [0] [ 760/5278] eta: 3:36:22 lr: 4.983776439880822e-05 loss: 0.2622 (0.3187) loss_seg: 0.2588 (0.3119) loss_lansim: 0.1358 (0.1397) loss_contra: 0.1880 (0.5473) time: 2.8969 data: 0.0061 max mem: 31623 Epoch: [0] [ 770/5278] eta: 3:35:53 lr: 4.9835632134699064e-05 loss: 0.2619 (0.3186) loss_seg: 0.2588 (0.3118) loss_lansim: 0.1358 (0.1397) loss_contra: 0.1832 (0.5426) time: 2.8904 data: 0.0060 max mem: 31623 Epoch: [0] [ 780/5278] eta: 3:35:23 lr: 4.9833499860453094e-05 loss: 0.2619 (0.3182) loss_seg: 0.2599 (0.3115) loss_lansim: 0.1358 (0.1397) loss_contra: 0.1773 (0.5386) time: 2.8836 data: 0.0058 max mem: 31623 Epoch: [0] [ 790/5278] eta: 3:34:57 lr: 4.983136757606978e-05 loss: 0.2622 (0.3177) loss_seg: 0.2602 (0.3109) loss_lansim: 0.1358 (0.1396) loss_contra: 0.1580 (0.5337) time: 2.8847 data: 0.0058 max mem: 31623 Epoch: [0] [ 800/5278] eta: 3:34:27 lr: 4.9829235281548584e-05 loss: 0.2709 (0.3171) loss_seg: 0.2646 (0.3104) loss_lansim: 0.1336 (0.1393) loss_contra: 0.1486 (0.5296) time: 2.8822 data: 0.0057 max mem: 31623 Epoch: [0] [ 810/5278] eta: 3:34:00 lr: 4.982710297688899e-05 loss: 0.2721 (0.3166) loss_seg: 0.2676 (0.3099) loss_lansim: 0.1357 (0.1394) loss_contra: 0.1434 (0.5266) time: 2.8826 data: 0.0057 max mem: 31623 Epoch: [0] [ 820/5278] eta: 3:33:34 lr: 4.982497066209045e-05 loss: 0.2742 (0.3162) loss_seg: 0.2709 (0.3096) loss_lansim: 0.1342 (0.1394) loss_contra: 0.1414 (0.5232) time: 2.8899 data: 0.0058 max mem: 31623 Epoch: [0] [ 830/5278] eta: 3:33:04 lr: 4.982283833715245e-05 loss: 0.2734 (0.3158) loss_seg: 0.2704 (0.3092) loss_lansim: 0.1336 (0.1393) loss_contra: 0.1663 (0.5203) time: 2.8856 data: 0.0058 max mem: 31623 Epoch: [0] [ 840/5278] eta: 3:32:39 lr: 4.982070600207444e-05 loss: 0.2742 (0.3154) loss_seg: 0.2709 (0.3088) loss_lansim: 0.1300 (0.1392) loss_contra: 0.1575 (0.5166) time: 2.8887 data: 0.0057 max mem: 31623 Epoch: [0] [ 850/5278] eta: 3:32:11 lr: 4.9818573656855914e-05 loss: 0.2742 (0.3148) loss_seg: 0.2709 (0.3083) loss_lansim: 0.1302 (0.1394) loss_contra: 0.1600 (0.5122) time: 2.8945 data: 0.0056 max mem: 31623 Epoch: [0] [ 860/5278] eta: 3:31:44 lr: 4.981644130149633e-05 loss: 0.2734 (0.3143) loss_seg: 0.2704 (0.3078) loss_lansim: 0.1320 (0.1394) loss_contra: 0.1414 (0.5079) time: 2.8917 data: 0.0056 max mem: 31623 Epoch: [0] [ 870/5278] eta: 3:31:15 lr: 4.9814308935995154e-05 loss: 0.2680 (0.3136) loss_seg: 0.2660 (0.3072) loss_lansim: 0.1321 (0.1394) loss_contra: 0.1414 (0.5038) time: 2.8919 data: 0.0056 max mem: 31623 Epoch: [0] [ 880/5278] eta: 3:30:46 lr: 4.9812176560351846e-05 loss: 0.2679 (0.3130) loss_seg: 0.2654 (0.3066) loss_lansim: 0.1337 (0.1393) loss_contra: 0.1426 (0.5005) time: 2.8925 data: 0.0058 max mem: 31623 Epoch: [0] [ 890/5278] eta: 3:30:20 lr: 4.98100441745659e-05 loss: 0.2679 (0.3124) loss_seg: 0.2654 (0.3060) loss_lansim: 0.1337 (0.1394) loss_contra: 0.1414 (0.4965) time: 2.8951 data: 0.0058 max mem: 31623 Epoch: [0] [ 900/5278] eta: 3:29:54 lr: 4.980791177863677e-05 loss: 0.2680 (0.3121) loss_seg: 0.2660 (0.3058) loss_lansim: 0.1358 (0.1395) loss_contra: 0.1414 (0.4931) time: 2.9021 data: 0.0058 max mem: 31623 Epoch: [0] [ 910/5278] eta: 3:29:24 lr: 4.980577937256393e-05 loss: 0.2626 (0.3115) loss_seg: 0.2590 (0.3052) loss_lansim: 0.1344 (0.1396) loss_contra: 0.1414 (0.4892) time: 2.8973 data: 0.0059 max mem: 31623 Epoch: [0] [ 920/5278] eta: 3:28:57 lr: 4.980364695634684e-05 loss: 0.2593 (0.3109) loss_seg: 0.2547 (0.3046) loss_lansim: 0.1344 (0.1396) loss_contra: 0.1334 (0.4851) time: 2.8963 data: 0.0058 max mem: 31623 Epoch: [0] [ 930/5278] eta: 3:28:30 lr: 4.9801514529984984e-05 loss: 0.2528 (0.3102) loss_seg: 0.2496 (0.3040) loss_lansim: 0.1358 (0.1397) loss_contra: 0.1096 (0.4805) time: 2.9019 data: 0.0058 max mem: 31623 Epoch: [0] [ 940/5278] eta: 3:27:58 lr: 4.979938209347782e-05 loss: 0.2517 (0.3096) loss_seg: 0.2496 (0.3034) loss_lansim: 0.1346 (0.1396) loss_contra: 0.0991 (0.4772) time: 2.8911 data: 0.0058 max mem: 31623 Epoch: [0] [ 950/5278] eta: 3:27:29 lr: 4.9797249646824823e-05 loss: 0.2566 (0.3096) loss_seg: 0.2543 (0.3035) loss_lansim: 0.1323 (0.1395) loss_contra: 0.0906 (0.4735) time: 2.8867 data: 0.0058 max mem: 31623 Epoch: [0] [ 960/5278] eta: 3:27:02 lr: 4.979511719002546e-05 loss: 0.2512 (0.3088) loss_seg: 0.2479 (0.3028) loss_lansim: 0.1300 (0.1392) loss_contra: 0.0892 (0.4699) time: 2.8884 data: 0.0058 max mem: 31623 Epoch: [0] [ 970/5278] eta: 3:26:33 lr: 4.9792984723079195e-05 loss: 0.2544 (0.3087) loss_seg: 0.2519 (0.3026) loss_lansim: 0.1290 (0.1391) loss_contra: 0.0836 (0.4663) time: 2.8882 data: 0.0059 max mem: 31623 Epoch: [0] [ 980/5278] eta: 3:26:04 lr: 4.9790852245985496e-05 loss: 0.2544 (0.3083) loss_seg: 0.2508 (0.3023) loss_lansim: 0.1300 (0.1393) loss_contra: 0.0815 (0.4627) time: 2.8885 data: 0.0058 max mem: 31623 Epoch: [0] [ 990/5278] eta: 3:25:36 lr: 4.978871975874385e-05 loss: 0.2608 (0.3079) loss_seg: 0.2583 (0.3019) loss_lansim: 0.1315 (0.1397) loss_contra: 0.0797 (0.4594) time: 2.8840 data: 0.0058 max mem: 31623 Epoch: [0] [1000/5278] eta: 3:25:07 lr: 4.978658726135371e-05 loss: 0.2544 (0.3076) loss_seg: 0.2506 (0.3016) loss_lansim: 0.1351 (0.1400) loss_contra: 0.0792 (0.4569) time: 2.8790 data: 0.0058 max mem: 31623 Epoch: [0] [1010/5278] eta: 3:24:39 lr: 4.9784454753814544e-05 loss: 0.2571 (0.3072) loss_seg: 0.2508 (0.3012) loss_lansim: 0.1358 (0.1399) loss_contra: 0.0815 (0.4543) time: 2.8829 data: 0.0058 max mem: 31623 Epoch: [0] [1020/5278] eta: 3:24:09 lr: 4.9782322236125816e-05 loss: 0.2544 (0.3067) loss_seg: 0.2506 (0.3008) loss_lansim: 0.1384 (0.1400) loss_contra: 0.0829 (0.4514) time: 2.8763 data: 0.0058 max mem: 31623 Epoch: [0] [1030/5278] eta: 3:23:40 lr: 4.978018970828701e-05 loss: 0.2571 (0.3063) loss_seg: 0.2544 (0.3004) loss_lansim: 0.1396 (0.1400) loss_contra: 0.0907 (0.4491) time: 2.8714 data: 0.0058 max mem: 31623 Epoch: [0] [1040/5278] eta: 3:23:13 lr: 4.977805717029759e-05 loss: 0.2483 (0.3054) loss_seg: 0.2453 (0.2995) loss_lansim: 0.1451 (0.1402) loss_contra: 0.1076 (0.4469) time: 2.8810 data: 0.0058 max mem: 31623 Epoch: [0] [1050/5278] eta: 3:22:44 lr: 4.977592462215702e-05 loss: 0.2423 (0.3048) loss_seg: 0.2387 (0.2989) loss_lansim: 0.1485 (0.1403) loss_contra: 0.1146 (0.4444) time: 2.8836 data: 0.0058 max mem: 31623 Epoch: [0] [1060/5278] eta: 3:22:16 lr: 4.977379206386477e-05 loss: 0.2468 (0.3043) loss_seg: 0.2425 (0.2985) loss_lansim: 0.1523 (0.1405) loss_contra: 0.1324 (0.4433) time: 2.8804 data: 0.0058 max mem: 31623 Epoch: [0] [1070/5278] eta: 3:21:48 lr: 4.9771659495420305e-05 loss: 0.2466 (0.3042) loss_seg: 0.2425 (0.2984) loss_lansim: 0.1523 (0.1405) loss_contra: 0.1450 (0.4411) time: 2.8853 data: 0.0057 max mem: 31623 Epoch: [0] [1080/5278] eta: 3:21:19 lr: 4.9769526916823105e-05 loss: 0.2442 (0.3037) loss_seg: 0.2410 (0.2980) loss_lansim: 0.1501 (0.1405) loss_contra: 0.1639 (0.4388) time: 2.8841 data: 0.0058 max mem: 31623 Epoch: [0] [1090/5278] eta: 3:20:51 lr: 4.976739432807262e-05 loss: 0.2434 (0.3034) loss_seg: 0.2401 (0.2977) loss_lansim: 0.1485 (0.1406) loss_contra: 0.1639 (0.4358) time: 2.8849 data: 0.0057 max mem: 31623 Epoch: [0] [1100/5278] eta: 3:20:22 lr: 4.9765261729168336e-05 loss: 0.2455 (0.3033) loss_seg: 0.2412 (0.2975) loss_lansim: 0.1461 (0.1406) loss_contra: 0.1639 (0.4335) time: 2.8855 data: 0.0057 max mem: 31623 Epoch: [0] [1110/5278] eta: 3:19:53 lr: 4.9763129120109716e-05 loss: 0.2457 (0.3032) loss_seg: 0.2421 (0.2974) loss_lansim: 0.1461 (0.1406) loss_contra: 0.1450 (0.4311) time: 2.8814 data: 0.0056 max mem: 31623 Epoch: [0] [1120/5278] eta: 3:19:24 lr: 4.976099650089622e-05 loss: 0.2466 (0.3031) loss_seg: 0.2425 (0.2974) loss_lansim: 0.1459 (0.1407) loss_contra: 0.1450 (0.4291) time: 2.8849 data: 0.0055 max mem: 31623 Epoch: [0] [1130/5278] eta: 3:18:56 lr: 4.9758863871527325e-05 loss: 0.2455 (0.3028) loss_seg: 0.2412 (0.2971) loss_lansim: 0.1458 (0.1406) loss_contra: 0.1388 (0.4267) time: 2.8882 data: 0.0056 max mem: 31623 Epoch: [0] [1140/5278] eta: 3:18:28 lr: 4.9756731232002496e-05 loss: 0.2481 (0.3023) loss_seg: 0.2460 (0.2966) loss_lansim: 0.1437 (0.1406) loss_contra: 0.1323 (0.4244) time: 2.8871 data: 0.0056 max mem: 31623 Epoch: [0] [1150/5278] eta: 3:18:00 lr: 4.97545985823212e-05 loss: 0.2481 (0.3018) loss_seg: 0.2460 (0.2961) loss_lansim: 0.1434 (0.1406) loss_contra: 0.1323 (0.4222) time: 2.8870 data: 0.0056 max mem: 31623 Epoch: [0] [1160/5278] eta: 3:17:34 lr: 4.975246592248291e-05 loss: 0.2513 (0.3017) loss_seg: 0.2467 (0.2961) loss_lansim: 0.1399 (0.1406) loss_contra: 0.1036 (0.4197) time: 2.8935 data: 0.0056 max mem: 31623 Epoch: [0] [1170/5278] eta: 3:17:05 lr: 4.975033325248708e-05 loss: 0.2495 (0.3013) loss_seg: 0.2461 (0.2957) loss_lansim: 0.1392 (0.1405) loss_contra: 0.0912 (0.4176) time: 2.8904 data: 0.0056 max mem: 31623 Epoch: [0] [1180/5278] eta: 3:16:37 lr: 4.9748200572333196e-05 loss: 0.2448 (0.3006) loss_seg: 0.2408 (0.2950) loss_lansim: 0.1376 (0.1405) loss_contra: 0.0811 (0.4149) time: 2.8937 data: 0.0056 max mem: 31623 Epoch: [0] [1190/5278] eta: 3:16:09 lr: 4.974606788202071e-05 loss: 0.2446 (0.3002) loss_seg: 0.2408 (0.2946) loss_lansim: 0.1353 (0.1404) loss_contra: 0.0994 (0.4134) time: 2.8935 data: 0.0056 max mem: 31623 Epoch: [0] [1200/5278] eta: 3:15:41 lr: 4.9743935181549104e-05 loss: 0.2446 (0.3000) loss_seg: 0.2408 (0.2944) loss_lansim: 0.1353 (0.1404) loss_contra: 0.0767 (0.4103) time: 2.8959 data: 0.0056 max mem: 31623 Epoch: [0] [1210/5278] eta: 3:15:11 lr: 4.974180247091784e-05 loss: 0.2436 (0.2997) loss_seg: 0.2399 (0.2942) loss_lansim: 0.1363 (0.1404) loss_contra: 0.0767 (0.4078) time: 2.8958 data: 0.0056 max mem: 31623 Epoch: [0] [1220/5278] eta: 3:14:43 lr: 4.973966975012637e-05 loss: 0.2436 (0.2995) loss_seg: 0.2399 (0.2941) loss_lansim: 0.1353 (0.1404) loss_contra: 0.0779 (0.4054) time: 2.8959 data: 0.0056 max mem: 31623 Epoch: [0] [1230/5278] eta: 3:14:14 lr: 4.973753701917419e-05 loss: 0.2448 (0.2993) loss_seg: 0.2424 (0.2939) loss_lansim: 0.1356 (0.1404) loss_contra: 0.0685 (0.4028) time: 2.8934 data: 0.0056 max mem: 31623 Epoch: [0] [1240/5278] eta: 3:13:45 lr: 4.9735404278060746e-05 loss: 0.2436 (0.2987) loss_seg: 0.2393 (0.2933) loss_lansim: 0.1380 (0.1406) loss_contra: 0.0644 (0.4003) time: 2.8922 data: 0.0056 max mem: 31623 Epoch: [0] [1250/5278] eta: 3:13:16 lr: 4.973327152678551e-05 loss: 0.2475 (0.2989) loss_seg: 0.2441 (0.2936) loss_lansim: 0.1394 (0.1407) loss_contra: 0.0575 (0.3983) time: 2.8901 data: 0.0056 max mem: 31623 Epoch: [0] [1260/5278] eta: 3:12:48 lr: 4.973113876534796e-05 loss: 0.2407 (0.2984) loss_seg: 0.2379 (0.2931) loss_lansim: 0.1392 (0.1406) loss_contra: 0.0523 (0.3958) time: 2.8854 data: 0.0056 max mem: 31623 Epoch: [0] [1270/5278] eta: 3:12:18 lr: 4.972900599374755e-05 loss: 0.2407 (0.2981) loss_seg: 0.2379 (0.2927) loss_lansim: 0.1417 (0.1407) loss_contra: 0.0456 (0.3931) time: 2.8823 data: 0.0057 max mem: 31623 Epoch: [0] [1280/5278] eta: 3:11:49 lr: 4.972687321198376e-05 loss: 0.2475 (0.2978) loss_seg: 0.2441 (0.2924) loss_lansim: 0.1442 (0.1407) loss_contra: 0.0504 (0.3912) time: 2.8791 data: 0.0056 max mem: 31623 Epoch: [0] [1290/5278] eta: 3:11:20 lr: 4.9724740420056044e-05 loss: 0.2483 (0.2975) loss_seg: 0.2461 (0.2922) loss_lansim: 0.1457 (0.1407) loss_contra: 0.0456 (0.3893) time: 2.8781 data: 0.0056 max mem: 31623 Epoch: [0] [1300/5278] eta: 3:10:51 lr: 4.9722607617963874e-05 loss: 0.2473 (0.2970) loss_seg: 0.2425 (0.2917) loss_lansim: 0.1471 (0.1408) loss_contra: 0.0548 (0.3874) time: 2.8744 data: 0.0057 max mem: 31623 Epoch: [0] [1310/5278] eta: 3:10:22 lr: 4.972047480570672e-05 loss: 0.2441 (0.2965) loss_seg: 0.2393 (0.2912) loss_lansim: 0.1471 (0.1409) loss_contra: 0.0575 (0.3856) time: 2.8758 data: 0.0056 max mem: 31623 Epoch: [0] [1320/5278] eta: 3:09:55 lr: 4.9718341983284045e-05 loss: 0.2382 (0.2959) loss_seg: 0.2359 (0.2907) loss_lansim: 0.1481 (0.1410) loss_contra: 0.0592 (0.3837) time: 2.8780 data: 0.0056 max mem: 31623 Epoch: [0] [1330/5278] eta: 3:09:25 lr: 4.971620915069532e-05 loss: 0.2385 (0.2961) loss_seg: 0.2363 (0.2909) loss_lansim: 0.1481 (0.1411) loss_contra: 0.0595 (0.3819) time: 2.8751 data: 0.0057 max mem: 31623 Epoch: [0] [1340/5278] eta: 3:08:57 lr: 4.9714076307940014e-05 loss: 0.2476 (0.2960) loss_seg: 0.2455 (0.2908) loss_lansim: 0.1442 (0.1411) loss_contra: 0.0639 (0.3798) time: 2.8790 data: 0.0058 max mem: 31623 Epoch: [0] [1350/5278] eta: 3:08:29 lr: 4.971194345501758e-05 loss: 0.2458 (0.2957) loss_seg: 0.2425 (0.2905) loss_lansim: 0.1439 (0.1413) loss_contra: 0.0797 (0.3784) time: 2.8800 data: 0.0057 max mem: 31623 Epoch: [0] [1360/5278] eta: 3:08:01 lr: 4.9709810591927505e-05 loss: 0.2473 (0.2955) loss_seg: 0.2444 (0.2903) loss_lansim: 0.1519 (0.1414) loss_contra: 0.0812 (0.3761) time: 2.8821 data: 0.0057 max mem: 31623 Epoch: [0] [1370/5278] eta: 3:07:33 lr: 4.970767771866925e-05 loss: 0.2473 (0.2951) loss_seg: 0.2434 (0.2899) loss_lansim: 0.1482 (0.1414) loss_contra: 0.0869 (0.3746) time: 2.8870 data: 0.0057 max mem: 31623 Epoch: [0] [1380/5278] eta: 3:07:04 lr: 4.9705544835242256e-05 loss: 0.2397 (0.2946) loss_seg: 0.2359 (0.2895) loss_lansim: 0.1553 (0.1416) loss_contra: 0.1107 (0.3731) time: 2.8882 data: 0.0057 max mem: 31623 Epoch: [0] [1390/5278] eta: 3:06:35 lr: 4.9703411941646025e-05 loss: 0.2387 (0.2942) loss_seg: 0.2346 (0.2891) loss_lansim: 0.1475 (0.1415) loss_contra: 0.1158 (0.3719) time: 2.8874 data: 0.0057 max mem: 31623 Epoch: [0] [1400/5278] eta: 3:06:08 lr: 4.970127903788001e-05 loss: 0.2397 (0.2941) loss_seg: 0.2359 (0.2890) loss_lansim: 0.1455 (0.1415) loss_contra: 0.1158 (0.3701) time: 2.8949 data: 0.0057 max mem: 31623 Epoch: [0] [1410/5278] eta: 3:05:38 lr: 4.969914612394368e-05 loss: 0.2458 (0.2938) loss_seg: 0.2426 (0.2887) loss_lansim: 0.1433 (0.1415) loss_contra: 0.1070 (0.3682) time: 2.8923 data: 0.0057 max mem: 31623 Epoch: [0] [1420/5278] eta: 3:05:11 lr: 4.969701319983649e-05 loss: 0.2474 (0.2934) loss_seg: 0.2444 (0.2884) loss_lansim: 0.1393 (0.1414) loss_contra: 0.1086 (0.3666) time: 2.8947 data: 0.0057 max mem: 31623 Epoch: [0] [1430/5278] eta: 3:04:42 lr: 4.969488026555792e-05 loss: 0.2389 (0.2930) loss_seg: 0.2346 (0.2880) loss_lansim: 0.1393 (0.1413) loss_contra: 0.1159 (0.3653) time: 2.8965 data: 0.0057 max mem: 31623 Epoch: [0] [1440/5278] eta: 3:04:15 lr: 4.969274732110743e-05 loss: 0.2306 (0.2927) loss_seg: 0.2288 (0.2877) loss_lansim: 0.1393 (0.1413) loss_contra: 0.1171 (0.3637) time: 2.8984 data: 0.0057 max mem: 31623 Epoch: [0] [1450/5278] eta: 3:03:46 lr: 4.969061436648449e-05 loss: 0.2387 (0.2926) loss_seg: 0.2336 (0.2876) loss_lansim: 0.1375 (0.1412) loss_contra: 0.1094 (0.3623) time: 2.8997 data: 0.0058 max mem: 31623 Epoch: [0] [1460/5278] eta: 3:03:17 lr: 4.968848140168857e-05 loss: 0.2389 (0.2923) loss_seg: 0.2346 (0.2873) loss_lansim: 0.1347 (0.1412) loss_contra: 0.1094 (0.3602) time: 2.8967 data: 0.0058 max mem: 31623 Epoch: [0] [1470/5278] eta: 3:02:49 lr: 4.968634842671913e-05 loss: 0.2387 (0.2920) loss_seg: 0.2346 (0.2870) loss_lansim: 0.1349 (0.1412) loss_contra: 0.1092 (0.3585) time: 2.8972 data: 0.0058 max mem: 31623 Epoch: [0] [1480/5278] eta: 3:02:20 lr: 4.9684215441575625e-05 loss: 0.2410 (0.2917) loss_seg: 0.2385 (0.2867) loss_lansim: 0.1326 (0.1411) loss_contra: 0.1047 (0.3574) time: 2.8949 data: 0.0059 max mem: 31623 Epoch: [0] [1490/5278] eta: 3:01:52 lr: 4.968208244625754e-05 loss: 0.2481 (0.2918) loss_seg: 0.2443 (0.2868) loss_lansim: 0.1317 (0.1412) loss_contra: 0.0920 (0.3559) time: 2.8971 data: 0.0059 max mem: 31623 Epoch: [0] [1500/5278] eta: 3:01:24 lr: 4.967994944076434e-05 loss: 0.2466 (0.2914) loss_seg: 0.2437 (0.2865) loss_lansim: 0.1316 (0.1412) loss_contra: 0.1020 (0.3541) time: 2.8962 data: 0.0060 max mem: 31626 Epoch: [0] [1510/5278] eta: 3:00:55 lr: 4.9677816425095476e-05 loss: 0.2464 (0.2911) loss_seg: 0.2434 (0.2862) loss_lansim: 0.1317 (0.1412) loss_contra: 0.0884 (0.3524) time: 2.9007 data: 0.0061 max mem: 31629 Epoch: [0] [1520/5278] eta: 3:00:26 lr: 4.9675683399250426e-05 loss: 0.2445 (0.2908) loss_seg: 0.2431 (0.2858) loss_lansim: 0.1317 (0.1411) loss_contra: 0.0826 (0.3507) time: 2.8929 data: 0.0061 max mem: 31629 Epoch: [0] [1530/5278] eta: 2:59:57 lr: 4.9673550363228654e-05 loss: 0.2445 (0.2905) loss_seg: 0.2431 (0.2856) loss_lansim: 0.1316 (0.1410) loss_contra: 0.0764 (0.3488) time: 2.8926 data: 0.0060 max mem: 31629 Epoch: [0] [1540/5278] eta: 2:59:29 lr: 4.9671417317029626e-05 loss: 0.2445 (0.2903) loss_seg: 0.2430 (0.2854) loss_lansim: 0.1312 (0.1409) loss_contra: 0.0665 (0.3473) time: 2.8885 data: 0.0060 max mem: 31630 Epoch: [0] [1550/5278] eta: 2:59:00 lr: 4.9669284260652806e-05 loss: 0.2419 (0.2901) loss_seg: 0.2391 (0.2852) loss_lansim: 0.1322 (0.1409) loss_contra: 0.0665 (0.3462) time: 2.8867 data: 0.0060 max mem: 31630 Epoch: [0] [1560/5278] eta: 2:58:31 lr: 4.966715119409766e-05 loss: 0.2410 (0.2898) loss_seg: 0.2387 (0.2849) loss_lansim: 0.1317 (0.1408) loss_contra: 0.0729 (0.3447) time: 2.8857 data: 0.0060 max mem: 31630 Epoch: [0] [1570/5278] eta: 2:58:03 lr: 4.9665018117363654e-05 loss: 0.2453 (0.2898) loss_seg: 0.2430 (0.2850) loss_lansim: 0.1322 (0.1409) loss_contra: 0.0729 (0.3433) time: 2.8885 data: 0.0060 max mem: 31630 Epoch: [0] [1580/5278] eta: 2:57:35 lr: 4.966288503045026e-05 loss: 0.2453 (0.2896) loss_seg: 0.2430 (0.2847) loss_lansim: 0.1335 (0.1409) loss_contra: 0.0708 (0.3418) time: 2.8925 data: 0.0060 max mem: 31630 Epoch: [0] [1590/5278] eta: 2:57:06 lr: 4.966075193335693e-05 loss: 0.2393 (0.2893) loss_seg: 0.2365 (0.2845) loss_lansim: 0.1338 (0.1410) loss_contra: 0.0700 (0.3402) time: 2.8902 data: 0.0060 max mem: 31630 Epoch: [0] [1600/5278] eta: 2:56:36 lr: 4.9658618826083134e-05 loss: 0.2355 (0.2889) loss_seg: 0.2338 (0.2841) loss_lansim: 0.1343 (0.1411) loss_contra: 0.0572 (0.3386) time: 2.8832 data: 0.0059 max mem: 31630 Epoch: [0] [1610/5278] eta: 2:56:09 lr: 4.965648570862835e-05 loss: 0.2355 (0.2888) loss_seg: 0.2338 (0.2840) loss_lansim: 0.1369 (0.1411) loss_contra: 0.0550 (0.3372) time: 2.8868 data: 0.0059 max mem: 31630 Epoch: [0] [1620/5278] eta: 2:55:40 lr: 4.9654352580992034e-05 loss: 0.2393 (0.2889) loss_seg: 0.2378 (0.2841) loss_lansim: 0.1383 (0.1412) loss_contra: 0.0599 (0.3358) time: 2.8894 data: 0.0059 max mem: 31630 Epoch: [0] [1630/5278] eta: 2:55:11 lr: 4.9652219443173646e-05 loss: 0.2409 (0.2886) loss_seg: 0.2387 (0.2838) loss_lansim: 0.1373 (0.1412) loss_contra: 0.0703 (0.3346) time: 2.8902 data: 0.0059 max mem: 31630 Epoch: [0] [1640/5278] eta: 2:54:43 lr: 4.965008629517266e-05 loss: 0.2453 (0.2884) loss_seg: 0.2424 (0.2837) loss_lansim: 0.1417 (0.1411) loss_contra: 0.0735 (0.3335) time: 2.8920 data: 0.0059 max mem: 31630 Epoch: [0] [1650/5278] eta: 2:54:13 lr: 4.964795313698853e-05 loss: 0.2453 (0.2883) loss_seg: 0.2414 (0.2836) loss_lansim: 0.1439 (0.1412) loss_contra: 0.0708 (0.3326) time: 2.8880 data: 0.0059 max mem: 31630 Epoch: [0] [1660/5278] eta: 2:53:45 lr: 4.964581996862075e-05 loss: 0.2427 (0.2881) loss_seg: 0.2414 (0.2833) loss_lansim: 0.1440 (0.1411) loss_contra: 0.0703 (0.3312) time: 2.8912 data: 0.0058 max mem: 31630 Epoch: [0] [1670/5278] eta: 2:53:15 lr: 4.964368679006875e-05 loss: 0.2427 (0.2879) loss_seg: 0.2414 (0.2832) loss_lansim: 0.1439 (0.1412) loss_contra: 0.0749 (0.3301) time: 2.8828 data: 0.0058 max mem: 31630 Epoch: [0] [1680/5278] eta: 2:52:47 lr: 4.964155360133201e-05 loss: 0.2491 (0.2877) loss_seg: 0.2440 (0.2830) loss_lansim: 0.1417 (0.1411) loss_contra: 0.0742 (0.3287) time: 2.8834 data: 0.0058 max mem: 31630 Epoch: [0] [1690/5278] eta: 2:52:18 lr: 4.963942040240999e-05 loss: 0.2497 (0.2876) loss_seg: 0.2474 (0.2829) loss_lansim: 0.1363 (0.1410) loss_contra: 0.0679 (0.3269) time: 2.8828 data: 0.0057 max mem: 31630 Epoch: [0] [1700/5278] eta: 2:51:48 lr: 4.9637287193302166e-05 loss: 0.2516 (0.2876) loss_seg: 0.2483 (0.2830) loss_lansim: 0.1353 (0.1410) loss_contra: 0.0679 (0.3254) time: 2.8805 data: 0.0057 max mem: 31630 Epoch: [0] [1710/5278] eta: 2:51:21 lr: 4.9635153974008004e-05 loss: 0.2535 (0.2875) loss_seg: 0.2500 (0.2829) loss_lansim: 0.1319 (0.1409) loss_contra: 0.0742 (0.3248) time: 2.8824 data: 0.0057 max mem: 31630 Epoch: [0] [1720/5278] eta: 2:50:51 lr: 4.963302074452696e-05 loss: 0.2516 (0.2874) loss_seg: 0.2483 (0.2828) loss_lansim: 0.1307 (0.1409) loss_contra: 0.0703 (0.3235) time: 2.8770 data: 0.0057 max mem: 31630 Epoch: [0] [1730/5278] eta: 2:50:22 lr: 4.963088750485849e-05 loss: 0.2516 (0.2872) loss_seg: 0.2494 (0.2825) loss_lansim: 0.1312 (0.1409) loss_contra: 0.0679 (0.3225) time: 2.8793 data: 0.0057 max mem: 31630 Epoch: [0] [1740/5278] eta: 2:49:53 lr: 4.9628754255002077e-05 loss: 0.2516 (0.2870) loss_seg: 0.2494 (0.2824) loss_lansim: 0.1299 (0.1408) loss_contra: 0.0604 (0.3211) time: 2.8726 data: 0.0057 max mem: 31630 Epoch: [0] [1750/5278] eta: 2:49:24 lr: 4.962662099495718e-05 loss: 0.2526 (0.2868) loss_seg: 0.2500 (0.2822) loss_lansim: 0.1283 (0.1407) loss_contra: 0.0604 (0.3197) time: 2.8765 data: 0.0057 max mem: 31630 Epoch: [0] [1760/5278] eta: 2:48:55 lr: 4.962448772472326e-05 loss: 0.2522 (0.2865) loss_seg: 0.2495 (0.2820) loss_lansim: 0.1299 (0.1407) loss_contra: 0.0525 (0.3182) time: 2.8744 data: 0.0056 max mem: 31630 Epoch: [0] [1770/5278] eta: 2:48:27 lr: 4.962235444429977e-05 loss: 0.2516 (0.2864) loss_seg: 0.2494 (0.2818) loss_lansim: 0.1299 (0.1407) loss_contra: 0.0501 (0.3169) time: 2.8783 data: 0.0057 max mem: 31630 Epoch: [0] [1780/5278] eta: 2:47:58 lr: 4.96202211536862e-05 loss: 0.2513 (0.2862) loss_seg: 0.2484 (0.2816) loss_lansim: 0.1307 (0.1406) loss_contra: 0.0501 (0.3154) time: 2.8773 data: 0.0057 max mem: 31630 Epoch: [0] [1790/5278] eta: 2:47:29 lr: 4.961808785288201e-05 loss: 0.2434 (0.2858) loss_seg: 0.2415 (0.2812) loss_lansim: 0.1301 (0.1406) loss_contra: 0.0516 (0.3139) time: 2.8779 data: 0.0057 max mem: 31630 Epoch: [0] [1800/5278] eta: 2:47:00 lr: 4.961595454188665e-05 loss: 0.2420 (0.2855) loss_seg: 0.2403 (0.2809) loss_lansim: 0.1280 (0.1405) loss_contra: 0.0505 (0.3125) time: 2.8804 data: 0.0057 max mem: 31630 Epoch: [0] [1810/5278] eta: 2:46:31 lr: 4.961382122069959e-05 loss: 0.2304 (0.2851) loss_seg: 0.2288 (0.2806) loss_lansim: 0.1277 (0.1405) loss_contra: 0.0454 (0.3111) time: 2.8734 data: 0.0057 max mem: 31630 Epoch: [0] [1820/5278] eta: 2:46:02 lr: 4.9611687889320304e-05 loss: 0.2334 (0.2850) loss_seg: 0.2318 (0.2805) loss_lansim: 0.1315 (0.1405) loss_contra: 0.0409 (0.3096) time: 2.8799 data: 0.0058 max mem: 31630 Epoch: [0] [1830/5278] eta: 2:45:33 lr: 4.960955454774824e-05 loss: 0.2334 (0.2847) loss_seg: 0.2318 (0.2802) loss_lansim: 0.1301 (0.1405) loss_contra: 0.0386 (0.3081) time: 2.8767 data: 0.0058 max mem: 31630 Epoch: [0] [1840/5278] eta: 2:45:05 lr: 4.960742119598287e-05 loss: 0.2304 (0.2845) loss_seg: 0.2288 (0.2800) loss_lansim: 0.1341 (0.1404) loss_contra: 0.0363 (0.3067) time: 2.8805 data: 0.0058 max mem: 31630 Epoch: [0] [1850/5278] eta: 2:44:36 lr: 4.960528783402367e-05 loss: 0.2370 (0.2843) loss_seg: 0.2355 (0.2799) loss_lansim: 0.1355 (0.1404) loss_contra: 0.0358 (0.3054) time: 2.8812 data: 0.0058 max mem: 31630 Epoch: [0] [1860/5278] eta: 2:44:07 lr: 4.9603154461870085e-05 loss: 0.2352 (0.2841) loss_seg: 0.2318 (0.2797) loss_lansim: 0.1325 (0.1404) loss_contra: 0.0358 (0.3044) time: 2.8807 data: 0.0058 max mem: 31630 Epoch: [0] [1870/5278] eta: 2:43:38 lr: 4.960102107952159e-05 loss: 0.2331 (0.2838) loss_seg: 0.2315 (0.2794) loss_lansim: 0.1301 (0.1404) loss_contra: 0.0347 (0.3030) time: 2.8773 data: 0.0058 max mem: 31630 Epoch: [0] [1880/5278] eta: 2:43:10 lr: 4.9598887686977644e-05 loss: 0.2291 (0.2835) loss_seg: 0.2274 (0.2791) loss_lansim: 0.1330 (0.1404) loss_contra: 0.0347 (0.3027) time: 2.8805 data: 0.0058 max mem: 31630 Epoch: [0] [1890/5278] eta: 2:42:41 lr: 4.959675428423771e-05 loss: 0.2370 (0.2834) loss_seg: 0.2355 (0.2790) loss_lansim: 0.1330 (0.1403) loss_contra: 0.0325 (0.3021) time: 2.8810 data: 0.0058 max mem: 31630 Epoch: [0] [1900/5278] eta: 2:42:12 lr: 4.959462087130126e-05 loss: 0.2370 (0.2832) loss_seg: 0.2355 (0.2788) loss_lansim: 0.1357 (0.1403) loss_contra: 0.0363 (0.3014) time: 2.8818 data: 0.0058 max mem: 31630 Epoch: [0] [1910/5278] eta: 2:41:44 lr: 4.959248744816775e-05 loss: 0.2383 (0.2832) loss_seg: 0.2366 (0.2788) loss_lansim: 0.1370 (0.1403) loss_contra: 0.0430 (0.3004) time: 2.8879 data: 0.0057 max mem: 31630 Epoch: [0] [1920/5278] eta: 2:41:16 lr: 4.959035401483665e-05 loss: 0.2352 (0.2829) loss_seg: 0.2332 (0.2785) loss_lansim: 0.1359 (0.1403) loss_contra: 0.0497 (0.2993) time: 2.8899 data: 0.0057 max mem: 31630 Epoch: [0] [1930/5278] eta: 2:40:47 lr: 4.958822057130742e-05 loss: 0.2301 (0.2827) loss_seg: 0.2284 (0.2783) loss_lansim: 0.1349 (0.1402) loss_contra: 0.0563 (0.2982) time: 2.8900 data: 0.0057 max mem: 31630 Epoch: [0] [1940/5278] eta: 2:40:18 lr: 4.9586087117579524e-05 loss: 0.2277 (0.2825) loss_seg: 0.2250 (0.2782) loss_lansim: 0.1346 (0.1402) loss_contra: 0.0548 (0.2971) time: 2.8868 data: 0.0057 max mem: 31630 Epoch: [0] [1950/5278] eta: 2:39:48 lr: 4.958395365365243e-05 loss: 0.2268 (0.2824) loss_seg: 0.2236 (0.2780) loss_lansim: 0.1330 (0.1401) loss_contra: 0.0654 (0.2963) time: 2.8816 data: 0.0057 max mem: 31630 Epoch: [0] [1960/5278] eta: 2:39:19 lr: 4.958182017952559e-05 loss: 0.2273 (0.2822) loss_seg: 0.2241 (0.2779) loss_lansim: 0.1345 (0.1402) loss_contra: 0.0654 (0.2953) time: 2.8823 data: 0.0057 max mem: 31630 Epoch: [0] [1970/5278] eta: 2:38:49 lr: 4.957968669519848e-05 loss: 0.2281 (0.2820) loss_seg: 0.2254 (0.2777) loss_lansim: 0.1330 (0.1401) loss_contra: 0.0683 (0.2941) time: 2.8790 data: 0.0057 max mem: 31630 Epoch: [0] [1980/5278] eta: 2:38:20 lr: 4.957755320067056e-05 loss: 0.2301 (0.2819) loss_seg: 0.2280 (0.2776) loss_lansim: 0.1346 (0.1401) loss_contra: 0.0789 (0.2932) time: 2.8731 data: 0.0056 max mem: 31630 Epoch: [0] [1990/5278] eta: 2:37:51 lr: 4.957541969594129e-05 loss: 0.2273 (0.2817) loss_seg: 0.2241 (0.2774) loss_lansim: 0.1352 (0.1401) loss_contra: 0.0789 (0.2926) time: 2.8675 data: 0.0056 max mem: 31630 Epoch: [0] [2000/5278] eta: 2:37:21 lr: 4.957328618101014e-05 loss: 0.2268 (0.2815) loss_seg: 0.2231 (0.2772) loss_lansim: 0.1359 (0.1401) loss_contra: 0.0729 (0.2921) time: 2.8643 data: 0.0056 max mem: 31630 Epoch: [0] [2010/5278] eta: 2:36:52 lr: 4.9571152655876564e-05 loss: 0.2268 (0.2814) loss_seg: 0.2223 (0.2771) loss_lansim: 0.1358 (0.1401) loss_contra: 0.0700 (0.2911) time: 2.8595 data: 0.0056 max mem: 31630 Epoch: [0] [2020/5278] eta: 2:36:23 lr: 4.956901912054003e-05 loss: 0.2268 (0.2812) loss_seg: 0.2223 (0.2769) loss_lansim: 0.1358 (0.1401) loss_contra: 0.0683 (0.2902) time: 2.8497 data: 0.0056 max mem: 31630 Epoch: [0] [2030/5278] eta: 2:35:54 lr: 4.9566885575e-05 loss: 0.2305 (0.2810) loss_seg: 0.2280 (0.2767) loss_lansim: 0.1370 (0.1401) loss_contra: 0.0729 (0.2897) time: 2.8545 data: 0.0056 max mem: 31630 Epoch: [0] [2040/5278] eta: 2:35:25 lr: 4.956475201925595e-05 loss: 0.2333 (0.2809) loss_seg: 0.2297 (0.2766) loss_lansim: 0.1366 (0.1400) loss_contra: 0.0789 (0.2888) time: 2.8508 data: 0.0056 max mem: 31630 Epoch: [0] [2050/5278] eta: 2:34:56 lr: 4.956261845330732e-05 loss: 0.2333 (0.2808) loss_seg: 0.2309 (0.2765) loss_lansim: 0.1372 (0.1400) loss_contra: 0.0782 (0.2882) time: 2.8594 data: 0.0056 max mem: 31630 Epoch: [0] [2060/5278] eta: 2:34:27 lr: 4.95604848771536e-05 loss: 0.2325 (0.2806) loss_seg: 0.2290 (0.2763) loss_lansim: 0.1358 (0.1400) loss_contra: 0.0782 (0.2877) time: 2.8563 data: 0.0056 max mem: 31630 Epoch: [0] [2070/5278] eta: 2:33:59 lr: 4.9558351290794226e-05 loss: 0.2325 (0.2805) loss_seg: 0.2290 (0.2763) loss_lansim: 0.1366 (0.1400) loss_contra: 0.0862 (0.2871) time: 2.8632 data: 0.0055 max mem: 31630 Epoch: [0] [2080/5278] eta: 2:33:30 lr: 4.9556217694228676e-05 loss: 0.2329 (0.2805) loss_seg: 0.2297 (0.2762) loss_lansim: 0.1352 (0.1399) loss_contra: 0.0782 (0.2868) time: 2.8649 data: 0.0056 max mem: 31630 Epoch: [0] [2090/5278] eta: 2:33:01 lr: 4.955408408745641e-05 loss: 0.2329 (0.2804) loss_seg: 0.2300 (0.2761) loss_lansim: 0.1345 (0.1399) loss_contra: 0.0991 (0.2864) time: 2.8737 data: 0.0056 max mem: 31630 Epoch: [0] [2100/5278] eta: 2:32:33 lr: 4.9551950470476894e-05 loss: 0.2387 (0.2803) loss_seg: 0.2366 (0.2761) loss_lansim: 0.1333 (0.1399) loss_contra: 0.0862 (0.2856) time: 2.8799 data: 0.0055 max mem: 31630 Epoch: [0] [2110/5278] eta: 2:32:04 lr: 4.954981684328958e-05 loss: 0.2361 (0.2801) loss_seg: 0.2324 (0.2759) loss_lansim: 0.1300 (0.1398) loss_contra: 0.0991 (0.2848) time: 2.8805 data: 0.0056 max mem: 31630 Epoch: [0] [2120/5278] eta: 2:31:35 lr: 4.954768320589394e-05 loss: 0.2317 (0.2798) loss_seg: 0.2290 (0.2756) loss_lansim: 0.1295 (0.1398) loss_contra: 0.0984 (0.2840) time: 2.8836 data: 0.0056 max mem: 31630 Epoch: [0] [2130/5278] eta: 2:31:06 lr: 4.954554955828945e-05 loss: 0.2333 (0.2796) loss_seg: 0.2316 (0.2754) loss_lansim: 0.1287 (0.1397) loss_contra: 0.0731 (0.2829) time: 2.8805 data: 0.0056 max mem: 31630 Epoch: [0] [2140/5278] eta: 2:30:37 lr: 4.954341590047554e-05 loss: 0.2317 (0.2793) loss_seg: 0.2300 (0.2751) loss_lansim: 0.1287 (0.1397) loss_contra: 0.0706 (0.2817) time: 2.8854 data: 0.0058 max mem: 31630 Epoch: [0] [2150/5278] eta: 2:30:09 lr: 4.95412822324517e-05 loss: 0.2294 (0.2791) loss_seg: 0.2270 (0.2749) loss_lansim: 0.1271 (0.1397) loss_contra: 0.0673 (0.2809) time: 2.8829 data: 0.0057 max mem: 31630 Epoch: [0] [2160/5278] eta: 2:29:40 lr: 4.9539148554217384e-05 loss: 0.2269 (0.2789) loss_seg: 0.2247 (0.2747) loss_lansim: 0.1287 (0.1396) loss_contra: 0.0617 (0.2801) time: 2.8882 data: 0.0057 max mem: 31630 Epoch: [0] [2170/5278] eta: 2:29:11 lr: 4.9537014865772056e-05 loss: 0.2269 (0.2786) loss_seg: 0.2247 (0.2744) loss_lansim: 0.1263 (0.1395) loss_contra: 0.0647 (0.2793) time: 2.8845 data: 0.0057 max mem: 31630 Epoch: [0] [2180/5278] eta: 2:28:43 lr: 4.953488116711516e-05 loss: 0.2240 (0.2785) loss_seg: 0.2221 (0.2743) loss_lansim: 0.1263 (0.1394) loss_contra: 0.0613 (0.2782) time: 2.8868 data: 0.0057 max mem: 31630 Epoch: [0] [2190/5278] eta: 2:28:14 lr: 4.953274745824619e-05 loss: 0.2240 (0.2783) loss_seg: 0.2221 (0.2742) loss_lansim: 0.1266 (0.1394) loss_contra: 0.0487 (0.2773) time: 2.8817 data: 0.0057 max mem: 31630 Epoch: [0] [2200/5278] eta: 2:27:45 lr: 4.953061373916459e-05 loss: 0.2220 (0.2782) loss_seg: 0.2206 (0.2741) loss_lansim: 0.1268 (0.1394) loss_contra: 0.0497 (0.2763) time: 2.8816 data: 0.0057 max mem: 31630 Epoch: [0] [2210/5278] eta: 2:27:16 lr: 4.952848000986983e-05 loss: 0.2240 (0.2780) loss_seg: 0.2221 (0.2739) loss_lansim: 0.1271 (0.1395) loss_contra: 0.0489 (0.2754) time: 2.8782 data: 0.0057 max mem: 31630 Epoch: [0] [2220/5278] eta: 2:26:47 lr: 4.9526346270361356e-05 loss: 0.2308 (0.2778) loss_seg: 0.2286 (0.2737) loss_lansim: 0.1281 (0.1394) loss_contra: 0.0444 (0.2746) time: 2.8769 data: 0.0057 max mem: 31630 Epoch: [0] [2230/5278] eta: 2:26:18 lr: 4.952421252063864e-05 loss: 0.2313 (0.2779) loss_seg: 0.2301 (0.2738) loss_lansim: 0.1276 (0.1393) loss_contra: 0.0388 (0.2736) time: 2.8780 data: 0.0057 max mem: 31630 Epoch: [0] [2240/5278] eta: 2:25:49 lr: 4.952207876070116e-05 loss: 0.2331 (0.2778) loss_seg: 0.2319 (0.2736) loss_lansim: 0.1288 (0.1393) loss_contra: 0.0388 (0.2726) time: 2.8775 data: 0.0056 max mem: 31630 Epoch: [0] [2250/5278] eta: 2:25:20 lr: 4.9519944990548356e-05 loss: 0.2331 (0.2775) loss_seg: 0.2319 (0.2734) loss_lansim: 0.1288 (0.1393) loss_contra: 0.0349 (0.2717) time: 2.8775 data: 0.0057 max mem: 31630 Epoch: [0] [2260/5278] eta: 2:24:51 lr: 4.951781121017969e-05 loss: 0.2335 (0.2774) loss_seg: 0.2320 (0.2733) loss_lansim: 0.1288 (0.1392) loss_contra: 0.0370 (0.2709) time: 2.8739 data: 0.0057 max mem: 31630 Epoch: [0] [2270/5278] eta: 2:24:23 lr: 4.9515677419594645e-05 loss: 0.2360 (0.2773) loss_seg: 0.2338 (0.2732) loss_lansim: 0.1311 (0.1392) loss_contra: 0.0349 (0.2701) time: 2.8800 data: 0.0057 max mem: 31630 Epoch: [0] [2280/5278] eta: 2:23:54 lr: 4.951354361879266e-05 loss: 0.2376 (0.2771) loss_seg: 0.2356 (0.2730) loss_lansim: 0.1319 (0.1391) loss_contra: 0.0444 (0.2695) time: 2.8785 data: 0.0057 max mem: 31630 Epoch: [0] [2290/5278] eta: 2:23:25 lr: 4.9511409807773214e-05 loss: 0.2387 (0.2769) loss_seg: 0.2363 (0.2729) loss_lansim: 0.1297 (0.1390) loss_contra: 0.0489 (0.2687) time: 2.8783 data: 0.0057 max mem: 31630 Epoch: [0] [2300/5278] eta: 2:22:57 lr: 4.950927598653576e-05 loss: 0.2360 (0.2767) loss_seg: 0.2338 (0.2726) loss_lansim: 0.1259 (0.1390) loss_contra: 0.0381 (0.2678) time: 2.8767 data: 0.0057 max mem: 31630 Epoch: [0] [2310/5278] eta: 2:22:28 lr: 4.950714215507975e-05 loss: 0.2360 (0.2765) loss_seg: 0.2338 (0.2724) loss_lansim: 0.1257 (0.1389) loss_contra: 0.0370 (0.2671) time: 2.8791 data: 0.0057 max mem: 31630 Epoch: [0] [2320/5278] eta: 2:22:00 lr: 4.9505008313404674e-05 loss: 0.2384 (0.2764) loss_seg: 0.2356 (0.2723) loss_lansim: 0.1257 (0.1389) loss_contra: 0.0349 (0.2663) time: 2.8884 data: 0.0058 max mem: 31630 Epoch: [0] [2330/5278] eta: 2:21:32 lr: 4.9502874461509966e-05 loss: 0.2255 (0.2761) loss_seg: 0.2234 (0.2721) loss_lansim: 0.1249 (0.1388) loss_contra: 0.0449 (0.2655) time: 2.8939 data: 0.0058 max mem: 31630 Epoch: [0] [2340/5278] eta: 2:21:03 lr: 4.95007405993951e-05 loss: 0.2255 (0.2759) loss_seg: 0.2234 (0.2719) loss_lansim: 0.1249 (0.1388) loss_contra: 0.0520 (0.2648) time: 2.8921 data: 0.0058 max mem: 31630 Epoch: [0] [2350/5278] eta: 2:20:33 lr: 4.949860672705953e-05 loss: 0.2351 (0.2758) loss_seg: 0.2326 (0.2718) loss_lansim: 0.1239 (0.1387) loss_contra: 0.0520 (0.2641) time: 2.8882 data: 0.0057 max mem: 31630 Epoch: [0] [2360/5278] eta: 2:20:05 lr: 4.949647284450273e-05 loss: 0.2291 (0.2756) loss_seg: 0.2249 (0.2716) loss_lansim: 0.1232 (0.1386) loss_contra: 0.0516 (0.2634) time: 2.8901 data: 0.0057 max mem: 31630 Epoch: [0] [2370/5278] eta: 2:19:36 lr: 4.9494338951724155e-05 loss: 0.2235 (0.2753) loss_seg: 0.2219 (0.2712) loss_lansim: 0.1223 (0.1386) loss_contra: 0.0516 (0.2627) time: 2.8869 data: 0.0057 max mem: 31630 Epoch: [0] [2380/5278] eta: 2:19:07 lr: 4.949220504872326e-05 loss: 0.2235 (0.2751) loss_seg: 0.2213 (0.2711) loss_lansim: 0.1232 (0.1386) loss_contra: 0.0473 (0.2621) time: 2.8845 data: 0.0057 max mem: 31630 Epoch: [0] [2390/5278] eta: 2:18:38 lr: 4.949007113549952e-05 loss: 0.2237 (0.2751) loss_seg: 0.2223 (0.2711) loss_lansim: 0.1238 (0.1385) loss_contra: 0.0492 (0.2614) time: 2.8876 data: 0.0057 max mem: 31630 Epoch: [0] [2400/5278] eta: 2:18:09 lr: 4.948793721205238e-05 loss: 0.2237 (0.2749) loss_seg: 0.2223 (0.2709) loss_lansim: 0.1238 (0.1385) loss_contra: 0.0516 (0.2606) time: 2.8841 data: 0.0058 max mem: 31630 Epoch: [0] [2410/5278] eta: 2:17:41 lr: 4.9485803278381316e-05 loss: 0.2259 (0.2750) loss_seg: 0.2231 (0.2710) loss_lansim: 0.1244 (0.1385) loss_contra: 0.0617 (0.2614) time: 2.8899 data: 0.0057 max mem: 31630 Epoch: [0] [2420/5278] eta: 2:17:12 lr: 4.948366933448578e-05 loss: 0.2323 (0.2750) loss_seg: 0.2303 (0.2710) loss_lansim: 0.1238 (0.1385) loss_contra: 0.0701 (0.2608) time: 2.8822 data: 0.0057 max mem: 31630 Epoch: [0] [2430/5278] eta: 2:16:43 lr: 4.948153538036523e-05 loss: 0.2353 (0.2748) loss_seg: 0.2335 (0.2709) loss_lansim: 0.1253 (0.1385) loss_contra: 0.0633 (0.2603) time: 2.8759 data: 0.0057 max mem: 31630 Epoch: [0] [2440/5278] eta: 2:16:14 lr: 4.9479401416019136e-05 loss: 0.2366 (0.2748) loss_seg: 0.2348 (0.2708) loss_lansim: 0.1238 (0.1384) loss_contra: 0.0623 (0.2594) time: 2.8801 data: 0.0057 max mem: 31630 Epoch: [0] [2450/5278] eta: 2:15:45 lr: 4.947726744144696e-05 loss: 0.2391 (0.2749) loss_seg: 0.2369 (0.2709) loss_lansim: 0.1278 (0.1384) loss_contra: 0.0693 (0.2591) time: 2.8792 data: 0.0057 max mem: 31630 Epoch: [0] [2460/5278] eta: 2:15:16 lr: 4.947513345664816e-05 loss: 0.2439 (0.2748) loss_seg: 0.2422 (0.2709) loss_lansim: 0.1296 (0.1384) loss_contra: 0.0910 (0.2587) time: 2.8779 data: 0.0057 max mem: 31630 Epoch: [0] [2470/5278] eta: 2:14:47 lr: 4.9472999461622185e-05 loss: 0.2455 (0.2747) loss_seg: 0.2433 (0.2707) loss_lansim: 0.1296 (0.1383) loss_contra: 0.0910 (0.2581) time: 2.8714 data: 0.0057 max mem: 31630 Epoch: [0] [2480/5278] eta: 2:14:18 lr: 4.9470865456368516e-05 loss: 0.2455 (0.2747) loss_seg: 0.2433 (0.2707) loss_lansim: 0.1289 (0.1383) loss_contra: 0.0910 (0.2577) time: 2.8729 data: 0.0057 max mem: 31630 Epoch: [0] [2490/5278] eta: 2:13:49 lr: 4.94687314408866e-05 loss: 0.2430 (0.2746) loss_seg: 0.2400 (0.2706) loss_lansim: 0.1294 (0.1382) loss_contra: 0.0736 (0.2570) time: 2.8713 data: 0.0057 max mem: 31630 Epoch: [0] [2500/5278] eta: 2:13:20 lr: 4.9466597415175906e-05 loss: 0.2461 (0.2746) loss_seg: 0.2440 (0.2707) loss_lansim: 0.1297 (0.1382) loss_contra: 0.0782 (0.2564) time: 2.8716 data: 0.0056 max mem: 31630 Epoch: [0] [2510/5278] eta: 2:12:51 lr: 4.946446337923589e-05 loss: 0.2391 (0.2744) loss_seg: 0.2374 (0.2705) loss_lansim: 0.1286 (0.1381) loss_contra: 0.0693 (0.2556) time: 2.8658 data: 0.0056 max mem: 31630 Epoch: [0] [2520/5278] eta: 2:12:22 lr: 4.9462329333066e-05 loss: 0.2359 (0.2743) loss_seg: 0.2343 (0.2703) loss_lansim: 0.1275 (0.1380) loss_contra: 0.0693 (0.2553) time: 2.8669 data: 0.0056 max mem: 31630 Epoch: [0] [2530/5278] eta: 2:11:54 lr: 4.946019527666572e-05 loss: 0.2372 (0.2742) loss_seg: 0.2350 (0.2702) loss_lansim: 0.1250 (0.1379) loss_contra: 0.0693 (0.2550) time: 2.8691 data: 0.0056 max mem: 31630 Epoch: [0] [2540/5278] eta: 2:11:24 lr: 4.9458061210034504e-05 loss: 0.2335 (0.2739) loss_seg: 0.2318 (0.2700) loss_lansim: 0.1248 (0.1379) loss_contra: 0.0765 (0.2544) time: 2.8630 data: 0.0057 max mem: 31630 Epoch: [0] [2550/5278] eta: 2:10:56 lr: 4.945592713317181e-05 loss: 0.2289 (0.2738) loss_seg: 0.2269 (0.2699) loss_lansim: 0.1244 (0.1379) loss_contra: 0.0649 (0.2537) time: 2.8693 data: 0.0057 max mem: 31630 Epoch: [0] [2560/5278] eta: 2:10:27 lr: 4.945379304607709e-05 loss: 0.2314 (0.2738) loss_seg: 0.2299 (0.2699) loss_lansim: 0.1200 (0.1378) loss_contra: 0.0488 (0.2531) time: 2.8651 data: 0.0057 max mem: 31630 Epoch: [0] [2570/5278] eta: 2:09:58 lr: 4.9451658948749805e-05 loss: 0.2342 (0.2736) loss_seg: 0.2326 (0.2697) loss_lansim: 0.1200 (0.1377) loss_contra: 0.0436 (0.2522) time: 2.8725 data: 0.0056 max mem: 31630 Epoch: [0] [2580/5278] eta: 2:09:29 lr: 4.944952484118944e-05 loss: 0.2336 (0.2733) loss_seg: 0.2321 (0.2694) loss_lansim: 0.1179 (0.1376) loss_contra: 0.0353 (0.2515) time: 2.8722 data: 0.0056 max mem: 31630 Epoch: [0] [2590/5278] eta: 2:09:00 lr: 4.944739072339543e-05 loss: 0.2336 (0.2733) loss_seg: 0.2321 (0.2694) loss_lansim: 0.1179 (0.1375) loss_contra: 0.0349 (0.2507) time: 2.8714 data: 0.0056 max mem: 31630 Epoch: [0] [2600/5278] eta: 2:08:31 lr: 4.9445256595367226e-05 loss: 0.2321 (0.2731) loss_seg: 0.2299 (0.2693) loss_lansim: 0.1179 (0.1375) loss_contra: 0.0304 (0.2499) time: 2.8731 data: 0.0056 max mem: 31630 Epoch: [0] [2610/5278] eta: 2:08:03 lr: 4.944312245710432e-05 loss: 0.2336 (0.2730) loss_seg: 0.2321 (0.2691) loss_lansim: 0.1178 (0.1374) loss_contra: 0.0330 (0.2492) time: 2.8737 data: 0.0056 max mem: 31630 Epoch: [0] [2620/5278] eta: 2:07:33 lr: 4.944098830860616e-05 loss: 0.2287 (0.2729) loss_seg: 0.2262 (0.2690) loss_lansim: 0.1180 (0.1373) loss_contra: 0.0323 (0.2484) time: 2.8691 data: 0.0057 max mem: 31630 Epoch: [0] [2630/5278] eta: 2:07:05 lr: 4.9438854149872186e-05 loss: 0.2339 (0.2731) loss_seg: 0.2323 (0.2692) loss_lansim: 0.1178 (0.1372) loss_contra: 0.0304 (0.2479) time: 2.8696 data: 0.0057 max mem: 31630 Epoch: [0] [2640/5278] eta: 2:06:36 lr: 4.943671998090188e-05 loss: 0.2357 (0.2730) loss_seg: 0.2345 (0.2691) loss_lansim: 0.1178 (0.1372) loss_contra: 0.0284 (0.2471) time: 2.8708 data: 0.0056 max mem: 31630 Epoch: [0] [2650/5278] eta: 2:06:07 lr: 4.9434585801694704e-05 loss: 0.2354 (0.2729) loss_seg: 0.2341 (0.2690) loss_lansim: 0.1168 (0.1371) loss_contra: 0.0330 (0.2465) time: 2.8687 data: 0.0056 max mem: 31630 Epoch: [0] [2660/5278] eta: 2:05:38 lr: 4.943245161225011e-05 loss: 0.2354 (0.2728) loss_seg: 0.2341 (0.2690) loss_lansim: 0.1178 (0.1370) loss_contra: 0.0376 (0.2458) time: 2.8716 data: 0.0056 max mem: 31630 Epoch: [0] [2670/5278] eta: 2:05:09 lr: 4.943031741256755e-05 loss: 0.2387 (0.2729) loss_seg: 0.2375 (0.2690) loss_lansim: 0.1168 (0.1370) loss_contra: 0.0428 (0.2452) time: 2.8736 data: 0.0056 max mem: 31630 Epoch: [0] [2680/5278] eta: 2:04:41 lr: 4.942818320264649e-05 loss: 0.2386 (0.2726) loss_seg: 0.2374 (0.2688) loss_lansim: 0.1188 (0.1369) loss_contra: 0.0392 (0.2445) time: 2.8758 data: 0.0056 max mem: 31630 Epoch: [0] [2690/5278] eta: 2:04:12 lr: 4.942604898248639e-05 loss: 0.2386 (0.2725) loss_seg: 0.2374 (0.2687) loss_lansim: 0.1188 (0.1369) loss_contra: 0.0330 (0.2437) time: 2.8784 data: 0.0056 max mem: 31630 Epoch: [0] [2700/5278] eta: 2:03:43 lr: 4.942391475208672e-05 loss: 0.2419 (0.2725) loss_seg: 0.2405 (0.2687) loss_lansim: 0.1189 (0.1369) loss_contra: 0.0376 (0.2429) time: 2.8754 data: 0.0056 max mem: 31630 Epoch: [0] [2710/5278] eta: 2:03:14 lr: 4.942178051144693e-05 loss: 0.2419 (0.2724) loss_seg: 0.2405 (0.2686) loss_lansim: 0.1209 (0.1369) loss_contra: 0.0344 (0.2422) time: 2.8761 data: 0.0056 max mem: 31630 Epoch: [0] [2720/5278] eta: 2:02:45 lr: 4.9419646260566474e-05 loss: 0.2466 (0.2724) loss_seg: 0.2451 (0.2686) loss_lansim: 0.1229 (0.1369) loss_contra: 0.0344 (0.2414) time: 2.8792 data: 0.0056 max mem: 31630 Epoch: [0] [2730/5278] eta: 2:02:16 lr: 4.941751199944481e-05 loss: 0.2403 (0.2722) loss_seg: 0.2375 (0.2684) loss_lansim: 0.1229 (0.1368) loss_contra: 0.0345 (0.2408) time: 2.8747 data: 0.0056 max mem: 31630 Epoch: [0] [2740/5278] eta: 2:01:47 lr: 4.941537772808142e-05 loss: 0.2442 (0.2722) loss_seg: 0.2425 (0.2685) loss_lansim: 0.1214 (0.1368) loss_contra: 0.0404 (0.2404) time: 2.8749 data: 0.0056 max mem: 31630 Epoch: [0] [2750/5278] eta: 2:01:18 lr: 4.941324344647574e-05 loss: 0.2449 (0.2721) loss_seg: 0.2432 (0.2683) loss_lansim: 0.1229 (0.1368) loss_contra: 0.0344 (0.2396) time: 2.8734 data: 0.0056 max mem: 31630 Epoch: [0] [2760/5278] eta: 2:00:49 lr: 4.941110915462724e-05 loss: 0.2449 (0.2721) loss_seg: 0.2432 (0.2683) loss_lansim: 0.1244 (0.1368) loss_contra: 0.0344 (0.2391) time: 2.8718 data: 0.0057 max mem: 31630 Epoch: [0] [2770/5278] eta: 2:00:21 lr: 4.940897485253537e-05 loss: 0.2383 (0.2720) loss_seg: 0.2370 (0.2682) loss_lansim: 0.1275 (0.1367) loss_contra: 0.0344 (0.2385) time: 2.8688 data: 0.0057 max mem: 31630 Epoch: [0] [2780/5278] eta: 1:59:52 lr: 4.94068405401996e-05 loss: 0.2467 (0.2720) loss_seg: 0.2451 (0.2682) loss_lansim: 0.1320 (0.1367) loss_contra: 0.0392 (0.2382) time: 2.8673 data: 0.0057 max mem: 31630 Epoch: [0] [2790/5278] eta: 1:59:23 lr: 4.940470621761939e-05 loss: 0.2461 (0.2718) loss_seg: 0.2433 (0.2681) loss_lansim: 0.1275 (0.1367) loss_contra: 0.0416 (0.2377) time: 2.8669 data: 0.0057 max mem: 31630 Epoch: [0] [2800/5278] eta: 1:58:54 lr: 4.940257188479419e-05 loss: 0.2411 (0.2717) loss_seg: 0.2396 (0.2680) loss_lansim: 0.1266 (0.1367) loss_contra: 0.0416 (0.2370) time: 2.8697 data: 0.0058 max mem: 31630 Epoch: [0] [2810/5278] eta: 1:58:25 lr: 4.940043754172346e-05 loss: 0.2403 (0.2717) loss_seg: 0.2382 (0.2679) loss_lansim: 0.1266 (0.1367) loss_contra: 0.0410 (0.2363) time: 2.8691 data: 0.0058 max mem: 31630 Epoch: [0] [2820/5278] eta: 1:57:57 lr: 4.939830318840666e-05 loss: 0.2356 (0.2716) loss_seg: 0.2332 (0.2678) loss_lansim: 0.1265 (0.1366) loss_contra: 0.0446 (0.2358) time: 2.8721 data: 0.0058 max mem: 31630 Epoch: [0] [2830/5278] eta: 1:57:28 lr: 4.9396168824843265e-05 loss: 0.2383 (0.2715) loss_seg: 0.2370 (0.2678) loss_lansim: 0.1251 (0.1366) loss_contra: 0.0392 (0.2350) time: 2.8746 data: 0.0058 max mem: 31630 Epoch: [0] [2840/5278] eta: 1:56:59 lr: 4.9394034451032706e-05 loss: 0.2281 (0.2714) loss_seg: 0.2267 (0.2676) loss_lansim: 0.1265 (0.1365) loss_contra: 0.0319 (0.2345) time: 2.8796 data: 0.0059 max mem: 31630 Epoch: [0] [2850/5278] eta: 1:56:31 lr: 4.939190006697446e-05 loss: 0.2287 (0.2712) loss_seg: 0.2272 (0.2675) loss_lansim: 0.1266 (0.1365) loss_contra: 0.0371 (0.2340) time: 2.8821 data: 0.0059 max mem: 31630 Epoch: [0] [2860/5278] eta: 1:56:02 lr: 4.938976567266797e-05 loss: 0.2260 (0.2710) loss_seg: 0.2249 (0.2673) loss_lansim: 0.1265 (0.1365) loss_contra: 0.0360 (0.2335) time: 2.8821 data: 0.0058 max mem: 31630 Epoch: [0] [2870/5278] eta: 1:55:33 lr: 4.938763126811273e-05 loss: 0.2260 (0.2709) loss_seg: 0.2249 (0.2672) loss_lansim: 0.1251 (0.1364) loss_contra: 0.0360 (0.2329) time: 2.8862 data: 0.0058 max mem: 31630 Epoch: [0] [2880/5278] eta: 1:55:05 lr: 4.938549685330816e-05 loss: 0.2252 (0.2709) loss_seg: 0.2234 (0.2672) loss_lansim: 0.1251 (0.1364) loss_contra: 0.0318 (0.2323) time: 2.8872 data: 0.0058 max mem: 31630 Epoch: [0] [2890/5278] eta: 1:54:36 lr: 4.9383362428253734e-05 loss: 0.2260 (0.2708) loss_seg: 0.2249 (0.2671) loss_lansim: 0.1224 (0.1363) loss_contra: 0.0291 (0.2318) time: 2.8909 data: 0.0058 max mem: 31630 Epoch: [0] [2900/5278] eta: 1:54:07 lr: 4.938122799294891e-05 loss: 0.2281 (0.2706) loss_seg: 0.2267 (0.2669) loss_lansim: 0.1224 (0.1363) loss_contra: 0.0291 (0.2311) time: 2.8895 data: 0.0058 max mem: 31630 Epoch: [0] [2910/5278] eta: 1:53:38 lr: 4.937909354739315e-05 loss: 0.2252 (0.2704) loss_seg: 0.2210 (0.2668) loss_lansim: 0.1224 (0.1362) loss_contra: 0.0318 (0.2308) time: 2.8877 data: 0.0058 max mem: 31630 Epoch: [0] [2920/5278] eta: 1:53:09 lr: 4.93769590915859e-05 loss: 0.2222 (0.2702) loss_seg: 0.2197 (0.2665) loss_lansim: 0.1224 (0.1362) loss_contra: 0.0291 (0.2302) time: 2.8872 data: 0.0058 max mem: 31630 Epoch: [0] [2930/5278] eta: 1:52:40 lr: 4.9374824625526634e-05 loss: 0.2222 (0.2702) loss_seg: 0.2198 (0.2665) loss_lansim: 0.1217 (0.1361) loss_contra: 0.0342 (0.2298) time: 2.8839 data: 0.0058 max mem: 31630 Epoch: [0] [2940/5278] eta: 1:52:11 lr: 4.9372690149214796e-05 loss: 0.2233 (0.2701) loss_seg: 0.2200 (0.2664) loss_lansim: 0.1224 (0.1361) loss_contra: 0.0342 (0.2293) time: 2.8803 data: 0.0057 max mem: 31630 Epoch: [0] [2950/5278] eta: 1:51:43 lr: 4.937055566264986e-05 loss: 0.2212 (0.2698) loss_seg: 0.2186 (0.2662) loss_lansim: 0.1217 (0.1360) loss_contra: 0.0318 (0.2287) time: 2.8821 data: 0.0057 max mem: 31630 Epoch: [0] [2960/5278] eta: 1:51:14 lr: 4.9368421165831274e-05 loss: 0.2214 (0.2698) loss_seg: 0.2186 (0.2661) loss_lansim: 0.1227 (0.1360) loss_contra: 0.0282 (0.2281) time: 2.8818 data: 0.0058 max mem: 31630 Epoch: [0] [2970/5278] eta: 1:50:45 lr: 4.93662866587585e-05 loss: 0.2214 (0.2696) loss_seg: 0.2186 (0.2660) loss_lansim: 0.1222 (0.1360) loss_contra: 0.0270 (0.2275) time: 2.8755 data: 0.0058 max mem: 31630 Epoch: [0] [2980/5278] eta: 1:50:16 lr: 4.936415214143099e-05 loss: 0.2211 (0.2695) loss_seg: 0.2179 (0.2659) loss_lansim: 0.1205 (0.1359) loss_contra: 0.0317 (0.2271) time: 2.8744 data: 0.0059 max mem: 31630 Epoch: [0] [2990/5278] eta: 1:49:47 lr: 4.93620176138482e-05 loss: 0.2174 (0.2693) loss_seg: 0.2142 (0.2657) loss_lansim: 0.1191 (0.1358) loss_contra: 0.0313 (0.2265) time: 2.8633 data: 0.0059 max mem: 31630 Epoch: [0] [3000/5278] eta: 1:49:18 lr: 4.935988307600961e-05 loss: 0.2132 (0.2691) loss_seg: 0.2115 (0.2655) loss_lansim: 0.1211 (0.1359) loss_contra: 0.0329 (0.2259) time: 2.8644 data: 0.0059 max mem: 31630 Epoch: [0] [3010/5278] eta: 1:48:50 lr: 4.935774852791465e-05 loss: 0.2132 (0.2690) loss_seg: 0.2118 (0.2654) loss_lansim: 0.1205 (0.1359) loss_contra: 0.0354 (0.2255) time: 2.8702 data: 0.0060 max mem: 31630 Epoch: [0] [3020/5278] eta: 1:48:21 lr: 4.935561396956279e-05 loss: 0.2110 (0.2689) loss_seg: 0.2095 (0.2652) loss_lansim: 0.1222 (0.1359) loss_contra: 0.0354 (0.2251) time: 2.8686 data: 0.0060 max mem: 31630 Epoch: [0] [3030/5278] eta: 1:47:52 lr: 4.935347940095349e-05 loss: 0.2107 (0.2689) loss_seg: 0.2088 (0.2652) loss_lansim: 0.1227 (0.1359) loss_contra: 0.0313 (0.2244) time: 2.8756 data: 0.0060 max mem: 31630 Epoch: [0] [3040/5278] eta: 1:47:23 lr: 4.935134482208621e-05 loss: 0.2097 (0.2687) loss_seg: 0.2087 (0.2651) loss_lansim: 0.1238 (0.1358) loss_contra: 0.0294 (0.2238) time: 2.8732 data: 0.0060 max mem: 31630 Epoch: [0] [3050/5278] eta: 1:46:54 lr: 4.93492102329604e-05 loss: 0.2103 (0.2685) loss_seg: 0.2088 (0.2649) loss_lansim: 0.1238 (0.1358) loss_contra: 0.0294 (0.2233) time: 2.8713 data: 0.0060 max mem: 31630 Epoch: [0] [3060/5278] eta: 1:46:26 lr: 4.9347075633575514e-05 loss: 0.2089 (0.2683) loss_seg: 0.2080 (0.2648) loss_lansim: 0.1222 (0.1358) loss_contra: 0.0313 (0.2227) time: 2.8743 data: 0.0060 max mem: 31630 Epoch: [0] [3070/5278] eta: 1:45:57 lr: 4.934494102393103e-05 loss: 0.2097 (0.2683) loss_seg: 0.2087 (0.2647) loss_lansim: 0.1238 (0.1357) loss_contra: 0.0294 (0.2221) time: 2.8761 data: 0.0059 max mem: 31630 Epoch: [0] [3080/5278] eta: 1:45:28 lr: 4.934280640402638e-05 loss: 0.2161 (0.2682) loss_seg: 0.2142 (0.2647) loss_lansim: 0.1242 (0.1357) loss_contra: 0.0207 (0.2215) time: 2.8790 data: 0.0058 max mem: 31630 Epoch: [0] [3090/5278] eta: 1:44:59 lr: 4.934067177386104e-05 loss: 0.2176 (0.2681) loss_seg: 0.2162 (0.2646) loss_lansim: 0.1267 (0.1356) loss_contra: 0.0227 (0.2209) time: 2.8847 data: 0.0058 max mem: 31630 Epoch: [0] [3100/5278] eta: 1:44:31 lr: 4.933853713343445e-05 loss: 0.2224 (0.2680) loss_seg: 0.2213 (0.2645) loss_lansim: 0.1238 (0.1356) loss_contra: 0.0232 (0.2205) time: 2.8889 data: 0.0058 max mem: 31630 Epoch: [0] [3110/5278] eta: 1:44:02 lr: 4.933640248274609e-05 loss: 0.2213 (0.2679) loss_seg: 0.2200 (0.2643) loss_lansim: 0.1245 (0.1356) loss_contra: 0.0227 (0.2200) time: 2.8872 data: 0.0058 max mem: 31630 Epoch: [0] [3120/5278] eta: 1:43:33 lr: 4.933426782179541e-05 loss: 0.2243 (0.2678) loss_seg: 0.2216 (0.2642) loss_lansim: 0.1242 (0.1356) loss_contra: 0.0215 (0.2194) time: 2.8876 data: 0.0058 max mem: 31630 Epoch: [0] [3130/5278] eta: 1:43:05 lr: 4.933213315058186e-05 loss: 0.2243 (0.2678) loss_seg: 0.2216 (0.2642) loss_lansim: 0.1238 (0.1355) loss_contra: 0.0214 (0.2188) time: 2.8837 data: 0.0059 max mem: 31630 Epoch: [0] [3140/5278] eta: 1:42:35 lr: 4.932999846910489e-05 loss: 0.2249 (0.2677) loss_seg: 0.2237 (0.2642) loss_lansim: 0.1221 (0.1355) loss_contra: 0.0215 (0.2183) time: 2.8844 data: 0.0060 max mem: 31630 Epoch: [0] [3150/5278] eta: 1:42:07 lr: 4.932786377736397e-05 loss: 0.2291 (0.2677) loss_seg: 0.2276 (0.2642) loss_lansim: 0.1228 (0.1354) loss_contra: 0.0232 (0.2178) time: 2.8816 data: 0.0059 max mem: 31630 Epoch: [0] [3160/5278] eta: 1:41:38 lr: 4.932572907535856e-05 loss: 0.2285 (0.2676) loss_seg: 0.2268 (0.2640) loss_lansim: 0.1183 (0.1353) loss_contra: 0.0232 (0.2175) time: 2.8841 data: 0.0060 max mem: 31630 Epoch: [0] [3170/5278] eta: 1:41:09 lr: 4.932359436308811e-05 loss: 0.2262 (0.2674) loss_seg: 0.2245 (0.2639) loss_lansim: 0.1183 (0.1352) loss_contra: 0.0241 (0.2169) time: 2.8850 data: 0.0061 max mem: 31630 Epoch: [0] [3180/5278] eta: 1:40:40 lr: 4.932145964055208e-05 loss: 0.2280 (0.2673) loss_seg: 0.2265 (0.2638) loss_lansim: 0.1205 (0.1352) loss_contra: 0.0293 (0.2166) time: 2.8800 data: 0.0061 max mem: 31630 Epoch: [0] [3190/5278] eta: 1:40:12 lr: 4.931932490774992e-05 loss: 0.2257 (0.2671) loss_seg: 0.2245 (0.2636) loss_lansim: 0.1232 (0.1352) loss_contra: 0.0379 (0.2164) time: 2.8805 data: 0.0062 max mem: 31630 Epoch: [0] [3200/5278] eta: 1:39:43 lr: 4.9317190164681096e-05 loss: 0.2242 (0.2670) loss_seg: 0.2214 (0.2635) loss_lansim: 0.1206 (0.1352) loss_contra: 0.0368 (0.2160) time: 2.8792 data: 0.0062 max mem: 31630 Epoch: [0] [3210/5278] eta: 1:39:14 lr: 4.931505541134506e-05 loss: 0.2242 (0.2669) loss_seg: 0.2226 (0.2634) loss_lansim: 0.1181 (0.1351) loss_contra: 0.0349 (0.2156) time: 2.8763 data: 0.0062 max mem: 31630 Epoch: [0] [3220/5278] eta: 1:38:45 lr: 4.9312920647741275e-05 loss: 0.2276 (0.2669) loss_seg: 0.2245 (0.2634) loss_lansim: 0.1158 (0.1350) loss_contra: 0.0358 (0.2153) time: 2.8808 data: 0.0062 max mem: 31630 Epoch: [0] [3230/5278] eta: 1:38:17 lr: 4.931078587386919e-05 loss: 0.2260 (0.2668) loss_seg: 0.2238 (0.2633) loss_lansim: 0.1146 (0.1350) loss_contra: 0.0368 (0.2149) time: 2.8842 data: 0.0061 max mem: 31630 Epoch: [0] [3240/5278] eta: 1:37:48 lr: 4.930865108972826e-05 loss: 0.2242 (0.2667) loss_seg: 0.2226 (0.2632) loss_lansim: 0.1127 (0.1349) loss_contra: 0.0386 (0.2144) time: 2.8838 data: 0.0060 max mem: 31630 Epoch: [0] [3250/5278] eta: 1:37:19 lr: 4.930651629531795e-05 loss: 0.2227 (0.2667) loss_seg: 0.2203 (0.2632) loss_lansim: 0.1126 (0.1348) loss_contra: 0.0359 (0.2138) time: 2.8886 data: 0.0061 max mem: 31630 Epoch: [0] [3260/5278] eta: 1:36:50 lr: 4.930438149063771e-05 loss: 0.2242 (0.2665) loss_seg: 0.2226 (0.2630) loss_lansim: 0.1157 (0.1348) loss_contra: 0.0368 (0.2135) time: 2.8835 data: 0.0060 max mem: 31630 Epoch: [0] [3270/5278] eta: 1:36:22 lr: 4.9302246675687e-05 loss: 0.2240 (0.2664) loss_seg: 0.2215 (0.2629) loss_lansim: 0.1226 (0.1348) loss_contra: 0.0407 (0.2131) time: 2.8844 data: 0.0060 max mem: 31630 Epoch: [0] [3280/5278] eta: 1:35:53 lr: 4.9300111850465276e-05 loss: 0.2218 (0.2663) loss_seg: 0.2203 (0.2628) loss_lansim: 0.1226 (0.1349) loss_contra: 0.0368 (0.2125) time: 2.8862 data: 0.0060 max mem: 31630 Epoch: [0] [3290/5278] eta: 1:35:24 lr: 4.9297977014972e-05 loss: 0.2227 (0.2661) loss_seg: 0.2205 (0.2627) loss_lansim: 0.1226 (0.1349) loss_contra: 0.0319 (0.2121) time: 2.8884 data: 0.0059 max mem: 31630 Epoch: [0] [3300/5278] eta: 1:34:55 lr: 4.929584216920661e-05 loss: 0.2240 (0.2661) loss_seg: 0.2226 (0.2626) loss_lansim: 0.1257 (0.1349) loss_contra: 0.0308 (0.2116) time: 2.8800 data: 0.0058 max mem: 31630 Epoch: [0] [3310/5278] eta: 1:34:26 lr: 4.929370731316858e-05 loss: 0.2256 (0.2661) loss_seg: 0.2235 (0.2626) loss_lansim: 0.1266 (0.1349) loss_contra: 0.0308 (0.2110) time: 2.8841 data: 0.0058 max mem: 31630 Epoch: [0] [3320/5278] eta: 1:33:57 lr: 4.9291572446857365e-05 loss: 0.2240 (0.2660) loss_seg: 0.2215 (0.2625) loss_lansim: 0.1278 (0.1349) loss_contra: 0.0319 (0.2107) time: 2.8772 data: 0.0058 max mem: 31630 Epoch: [0] [3330/5278] eta: 1:33:28 lr: 4.928943757027242e-05 loss: 0.2198 (0.2658) loss_seg: 0.2159 (0.2623) loss_lansim: 0.1289 (0.1349) loss_contra: 0.0319 (0.2103) time: 2.8717 data: 0.0058 max mem: 31630 Epoch: [0] [3340/5278] eta: 1:33:00 lr: 4.928730268341319e-05 loss: 0.2240 (0.2659) loss_seg: 0.2217 (0.2624) loss_lansim: 0.1328 (0.1349) loss_contra: 0.0352 (0.2101) time: 2.8763 data: 0.0059 max mem: 31630 Epoch: [0] [3350/5278] eta: 1:32:31 lr: 4.928516778627913e-05 loss: 0.2248 (0.2657) loss_seg: 0.2233 (0.2623) loss_lansim: 0.1359 (0.1349) loss_contra: 0.0398 (0.2098) time: 2.8659 data: 0.0058 max mem: 31630 Epoch: [0] [3360/5278] eta: 1:32:02 lr: 4.928303287886972e-05 loss: 0.2248 (0.2657) loss_seg: 0.2233 (0.2622) loss_lansim: 0.1299 (0.1349) loss_contra: 0.0398 (0.2096) time: 2.8715 data: 0.0059 max mem: 31630 Epoch: [0] [3370/5278] eta: 1:31:33 lr: 4.92808979611844e-05 loss: 0.2248 (0.2656) loss_seg: 0.2235 (0.2621) loss_lansim: 0.1297 (0.1348) loss_contra: 0.0421 (0.2092) time: 2.8639 data: 0.0058 max mem: 31630 Epoch: [0] [3380/5278] eta: 1:31:04 lr: 4.927876303322262e-05 loss: 0.2264 (0.2656) loss_seg: 0.2244 (0.2621) loss_lansim: 0.1297 (0.1348) loss_contra: 0.0442 (0.2090) time: 2.8677 data: 0.0058 max mem: 31630 Epoch: [0] [3390/5278] eta: 1:30:35 lr: 4.9276628094983854e-05 loss: 0.2287 (0.2655) loss_seg: 0.2270 (0.2620) loss_lansim: 0.1249 (0.1348) loss_contra: 0.0464 (0.2086) time: 2.8645 data: 0.0058 max mem: 31630 Epoch: [0] [3400/5278] eta: 1:30:06 lr: 4.927449314646754e-05 loss: 0.2316 (0.2654) loss_seg: 0.2301 (0.2620) loss_lansim: 0.1246 (0.1348) loss_contra: 0.0447 (0.2080) time: 2.8685 data: 0.0058 max mem: 31630 Epoch: [0] [3410/5278] eta: 1:29:37 lr: 4.927235818767314e-05 loss: 0.2262 (0.2653) loss_seg: 0.2243 (0.2619) loss_lansim: 0.1211 (0.1347) loss_contra: 0.0447 (0.2076) time: 2.8620 data: 0.0058 max mem: 31630 Epoch: [0] [3420/5278] eta: 1:29:09 lr: 4.9270223218600106e-05 loss: 0.2246 (0.2652) loss_seg: 0.2232 (0.2618) loss_lansim: 0.1210 (0.1347) loss_contra: 0.0479 (0.2072) time: 2.8626 data: 0.0058 max mem: 31630 Epoch: [0] [3430/5278] eta: 1:28:40 lr: 4.926808823924791e-05 loss: 0.2269 (0.2651) loss_seg: 0.2244 (0.2617) loss_lansim: 0.1204 (0.1346) loss_contra: 0.0479 (0.2069) time: 2.8678 data: 0.0057 max mem: 31630 Epoch: [0] [3440/5278] eta: 1:28:11 lr: 4.926595324961598e-05 loss: 0.2246 (0.2649) loss_seg: 0.2222 (0.2615) loss_lansim: 0.1194 (0.1346) loss_contra: 0.0442 (0.2065) time: 2.8656 data: 0.0057 max mem: 31630 Epoch: [0] [3450/5278] eta: 1:27:42 lr: 4.92638182497038e-05 loss: 0.2237 (0.2649) loss_seg: 0.2219 (0.2615) loss_lansim: 0.1194 (0.1346) loss_contra: 0.0348 (0.2060) time: 2.8767 data: 0.0057 max mem: 31630 Epoch: [0] [3460/5278] eta: 1:27:14 lr: 4.926168323951081e-05 loss: 0.2237 (0.2648) loss_seg: 0.2219 (0.2614) loss_lansim: 0.1175 (0.1345) loss_contra: 0.0347 (0.2055) time: 2.8717 data: 0.0057 max mem: 31630 Epoch: [0] [3470/5278] eta: 1:26:45 lr: 4.925954821903646e-05 loss: 0.2237 (0.2648) loss_seg: 0.2219 (0.2614) loss_lansim: 0.1167 (0.1344) loss_contra: 0.0321 (0.2050) time: 2.8806 data: 0.0056 max mem: 31630 Epoch: [0] [3480/5278] eta: 1:26:16 lr: 4.9257413188280214e-05 loss: 0.2237 (0.2646) loss_seg: 0.2219 (0.2613) loss_lansim: 0.1152 (0.1344) loss_contra: 0.0286 (0.2045) time: 2.8783 data: 0.0056 max mem: 31630 Epoch: [0] [3490/5278] eta: 1:25:48 lr: 4.925527814724153e-05 loss: 0.2237 (0.2646) loss_seg: 0.2219 (0.2612) loss_lansim: 0.1156 (0.1343) loss_contra: 0.0286 (0.2042) time: 2.8833 data: 0.0056 max mem: 31630 Epoch: [0] [3500/5278] eta: 1:25:19 lr: 4.925314309591986e-05 loss: 0.2224 (0.2645) loss_seg: 0.2212 (0.2612) loss_lansim: 0.1140 (0.1342) loss_contra: 0.0321 (0.2038) time: 2.8885 data: 0.0056 max mem: 31630 Epoch: [0] [3510/5278] eta: 1:24:50 lr: 4.925100803431466e-05 loss: 0.2212 (0.2644) loss_seg: 0.2201 (0.2611) loss_lansim: 0.1132 (0.1342) loss_contra: 0.0347 (0.2034) time: 2.8889 data: 0.0057 max mem: 31630 Epoch: [0] [3520/5278] eta: 1:24:21 lr: 4.924887296242538e-05 loss: 0.2221 (0.2643) loss_seg: 0.2206 (0.2609) loss_lansim: 0.1139 (0.1341) loss_contra: 0.0321 (0.2030) time: 2.8966 data: 0.0057 max mem: 31630 Epoch: [0] [3530/5278] eta: 1:23:53 lr: 4.9246737880251484e-05 loss: 0.2221 (0.2642) loss_seg: 0.2206 (0.2608) loss_lansim: 0.1131 (0.1341) loss_contra: 0.0336 (0.2027) time: 2.8940 data: 0.0057 max mem: 31630 Epoch: [0] [3540/5278] eta: 1:23:24 lr: 4.924460278779242e-05 loss: 0.2230 (0.2642) loss_seg: 0.2216 (0.2608) loss_lansim: 0.1140 (0.1341) loss_contra: 0.0366 (0.2023) time: 2.8972 data: 0.0057 max mem: 31630 Epoch: [0] [3550/5278] eta: 1:22:56 lr: 4.9242467685047645e-05 loss: 0.2230 (0.2641) loss_seg: 0.2216 (0.2607) loss_lansim: 0.1156 (0.1341) loss_contra: 0.0366 (0.2018) time: 2.8990 data: 0.0057 max mem: 31630 Epoch: [0] [3560/5278] eta: 1:22:27 lr: 4.9240332572016614e-05 loss: 0.2204 (0.2639) loss_seg: 0.2189 (0.2606) loss_lansim: 0.1165 (0.1341) loss_contra: 0.0304 (0.2014) time: 2.8985 data: 0.0057 max mem: 31630 Epoch: [0] [3570/5278] eta: 1:21:58 lr: 4.9238197448698774e-05 loss: 0.2183 (0.2638) loss_seg: 0.2168 (0.2605) loss_lansim: 0.1172 (0.1340) loss_contra: 0.0304 (0.2009) time: 2.9007 data: 0.0057 max mem: 31630 Epoch: [0] [3580/5278] eta: 1:21:29 lr: 4.9236062315093604e-05 loss: 0.2174 (0.2637) loss_seg: 0.2156 (0.2603) loss_lansim: 0.1179 (0.1339) loss_contra: 0.0344 (0.2005) time: 2.8939 data: 0.0057 max mem: 31630 Epoch: [0] [3590/5278] eta: 1:21:00 lr: 4.923392717120053e-05 loss: 0.2169 (0.2636) loss_seg: 0.2154 (0.2603) loss_lansim: 0.1172 (0.1339) loss_contra: 0.0269 (0.2000) time: 2.8938 data: 0.0057 max mem: 31630 Epoch: [0] [3600/5278] eta: 1:20:31 lr: 4.9231792017019016e-05 loss: 0.2169 (0.2635) loss_seg: 0.2154 (0.2602) loss_lansim: 0.1179 (0.1338) loss_contra: 0.0271 (0.1997) time: 2.8878 data: 0.0057 max mem: 31630 Epoch: [0] [3610/5278] eta: 1:20:03 lr: 4.922965685254853e-05 loss: 0.2132 (0.2634) loss_seg: 0.2117 (0.2600) loss_lansim: 0.1189 (0.1338) loss_contra: 0.0271 (0.1994) time: 2.8907 data: 0.0057 max mem: 31630 Epoch: [0] [3620/5278] eta: 1:19:34 lr: 4.9227521677788514e-05 loss: 0.2208 (0.2634) loss_seg: 0.2196 (0.2600) loss_lansim: 0.1193 (0.1338) loss_contra: 0.0308 (0.1991) time: 2.8879 data: 0.0056 max mem: 31630 Epoch: [0] [3630/5278] eta: 1:19:05 lr: 4.9225386492738425e-05 loss: 0.2132 (0.2632) loss_seg: 0.2117 (0.2599) loss_lansim: 0.1193 (0.1338) loss_contra: 0.0280 (0.1988) time: 2.8865 data: 0.0056 max mem: 31630 Epoch: [0] [3640/5278] eta: 1:18:36 lr: 4.922325129739771e-05 loss: 0.2132 (0.2631) loss_seg: 0.2117 (0.2598) loss_lansim: 0.1179 (0.1337) loss_contra: 0.0256 (0.1984) time: 2.8871 data: 0.0056 max mem: 31630 Epoch: [0] [3650/5278] eta: 1:18:08 lr: 4.9221116091765834e-05 loss: 0.2132 (0.2630) loss_seg: 0.2117 (0.2597) loss_lansim: 0.1166 (0.1337) loss_contra: 0.0252 (0.1979) time: 2.8803 data: 0.0057 max mem: 31630 Epoch: [0] [3660/5278] eta: 1:17:39 lr: 4.9218980875842255e-05 loss: 0.2207 (0.2630) loss_seg: 0.2194 (0.2597) loss_lansim: 0.1164 (0.1336) loss_contra: 0.0212 (0.1975) time: 2.8858 data: 0.0057 max mem: 31630 Epoch: [0] [3670/5278] eta: 1:17:10 lr: 4.921684564962641e-05 loss: 0.2218 (0.2630) loss_seg: 0.2206 (0.2597) loss_lansim: 0.1164 (0.1336) loss_contra: 0.0212 (0.1970) time: 2.8779 data: 0.0057 max mem: 31630 Epoch: [0] [3680/5278] eta: 1:16:41 lr: 4.921471041311777e-05 loss: 0.2222 (0.2629) loss_seg: 0.2211 (0.2596) loss_lansim: 0.1164 (0.1336) loss_contra: 0.0234 (0.1966) time: 2.8856 data: 0.0056 max mem: 31630 Epoch: [0] [3690/5278] eta: 1:16:13 lr: 4.9212575166315775e-05 loss: 0.2221 (0.2628) loss_seg: 0.2206 (0.2595) loss_lansim: 0.1164 (0.1335) loss_contra: 0.0308 (0.1962) time: 2.8838 data: 0.0057 max mem: 31630 Epoch: [0] [3700/5278] eta: 1:15:44 lr: 4.9210439909219896e-05 loss: 0.2222 (0.2628) loss_seg: 0.2211 (0.2595) loss_lansim: 0.1173 (0.1334) loss_contra: 0.0265 (0.1960) time: 2.8884 data: 0.0057 max mem: 31630 Epoch: [0] [3710/5278] eta: 1:15:15 lr: 4.920830464182958e-05 loss: 0.2256 (0.2627) loss_seg: 0.2235 (0.2594) loss_lansim: 0.1166 (0.1334) loss_contra: 0.0236 (0.1956) time: 2.8886 data: 0.0057 max mem: 31630 Epoch: [0] [3720/5278] eta: 1:14:46 lr: 4.9206169364144274e-05 loss: 0.2218 (0.2626) loss_seg: 0.2203 (0.2593) loss_lansim: 0.1164 (0.1333) loss_contra: 0.0289 (0.1955) time: 2.8912 data: 0.0057 max mem: 31630 Epoch: [0] [3730/5278] eta: 1:14:18 lr: 4.920403407616343e-05 loss: 0.2222 (0.2624) loss_seg: 0.2211 (0.2592) loss_lansim: 0.1130 (0.1333) loss_contra: 0.0322 (0.1955) time: 2.8921 data: 0.0057 max mem: 31630 Epoch: [0] [3740/5278] eta: 1:13:49 lr: 4.920189877788652e-05 loss: 0.2256 (0.2625) loss_seg: 0.2235 (0.2592) loss_lansim: 0.1147 (0.1332) loss_contra: 0.0328 (0.1952) time: 2.8932 data: 0.0057 max mem: 31630 Epoch: [0] [3750/5278] eta: 1:13:20 lr: 4.9199763469312985e-05 loss: 0.2281 (0.2624) loss_seg: 0.2275 (0.2592) loss_lansim: 0.1153 (0.1332) loss_contra: 0.0382 (0.1949) time: 2.8906 data: 0.0056 max mem: 31630 Epoch: [0] [3760/5278] eta: 1:12:51 lr: 4.9197628150442275e-05 loss: 0.2252 (0.2624) loss_seg: 0.2235 (0.2591) loss_lansim: 0.1172 (0.1332) loss_contra: 0.0475 (0.1952) time: 2.8892 data: 0.0056 max mem: 31630 Epoch: [0] [3770/5278] eta: 1:12:23 lr: 4.9195492821273854e-05 loss: 0.2283 (0.2624) loss_seg: 0.2273 (0.2591) loss_lansim: 0.1163 (0.1332) loss_contra: 0.0521 (0.1954) time: 2.8941 data: 0.0056 max mem: 31630 Epoch: [0] [3780/5278] eta: 1:11:54 lr: 4.9193357481807165e-05 loss: 0.2330 (0.2624) loss_seg: 0.2282 (0.2591) loss_lansim: 0.1173 (0.1331) loss_contra: 0.0680 (0.1955) time: 2.8887 data: 0.0056 max mem: 31630 Epoch: [0] [3790/5278] eta: 1:11:25 lr: 4.919122213204168e-05 loss: 0.2330 (0.2623) loss_seg: 0.2282 (0.2590) loss_lansim: 0.1177 (0.1331) loss_contra: 0.0771 (0.1954) time: 2.8886 data: 0.0056 max mem: 31630 Epoch: [0] [3800/5278] eta: 1:10:56 lr: 4.918908677197683e-05 loss: 0.2346 (0.2622) loss_seg: 0.2306 (0.2589) loss_lansim: 0.1180 (0.1331) loss_contra: 0.0771 (0.1950) time: 2.8884 data: 0.0056 max mem: 31630 Epoch: [0] [3810/5278] eta: 1:10:27 lr: 4.918695140161208e-05 loss: 0.2346 (0.2622) loss_seg: 0.2310 (0.2589) loss_lansim: 0.1193 (0.1331) loss_contra: 0.0704 (0.1946) time: 2.8865 data: 0.0056 max mem: 31630 Epoch: [0] [3820/5278] eta: 1:09:59 lr: 4.918481602094688e-05 loss: 0.2331 (0.2621) loss_seg: 0.2306 (0.2589) loss_lansim: 0.1185 (0.1331) loss_contra: 0.0704 (0.1943) time: 2.8892 data: 0.0056 max mem: 31630 Epoch: [0] [3830/5278] eta: 1:09:30 lr: 4.91826806299807e-05 loss: 0.2330 (0.2619) loss_seg: 0.2293 (0.2586) loss_lansim: 0.1212 (0.1330) loss_contra: 0.0566 (0.1939) time: 2.8876 data: 0.0056 max mem: 31630 Epoch: [0] [3840/5278] eta: 1:09:01 lr: 4.918054522871297e-05 loss: 0.2283 (0.2618) loss_seg: 0.2272 (0.2585) loss_lansim: 0.1209 (0.1330) loss_contra: 0.0455 (0.1934) time: 2.8866 data: 0.0056 max mem: 31630 Epoch: [0] [3850/5278] eta: 1:08:32 lr: 4.917840981714315e-05 loss: 0.2234 (0.2617) loss_seg: 0.2202 (0.2585) loss_lansim: 0.1214 (0.1329) loss_contra: 0.0488 (0.1931) time: 2.8872 data: 0.0056 max mem: 31630 Epoch: [0] [3860/5278] eta: 1:08:03 lr: 4.917627439527069e-05 loss: 0.2234 (0.2616) loss_seg: 0.2214 (0.2583) loss_lansim: 0.1212 (0.1329) loss_contra: 0.0409 (0.1926) time: 2.8840 data: 0.0056 max mem: 31630 Epoch: [0] [3870/5278] eta: 1:07:35 lr: 4.917413896309506e-05 loss: 0.2204 (0.2615) loss_seg: 0.2188 (0.2583) loss_lansim: 0.1193 (0.1328) loss_contra: 0.0337 (0.1923) time: 2.8807 data: 0.0056 max mem: 31630 Epoch: [0] [3880/5278] eta: 1:07:06 lr: 4.9172003520615693e-05 loss: 0.2195 (0.2614) loss_seg: 0.2167 (0.2582) loss_lansim: 0.1185 (0.1328) loss_contra: 0.0263 (0.1919) time: 2.8827 data: 0.0056 max mem: 31630 Epoch: [0] [3890/5278] eta: 1:06:37 lr: 4.9169868067832056e-05 loss: 0.2204 (0.2614) loss_seg: 0.2188 (0.2582) loss_lansim: 0.1182 (0.1327) loss_contra: 0.0219 (0.1915) time: 2.8823 data: 0.0056 max mem: 31630 Epoch: [0] [3900/5278] eta: 1:06:08 lr: 4.91677326047436e-05 loss: 0.2173 (0.2613) loss_seg: 0.2165 (0.2581) loss_lansim: 0.1182 (0.1327) loss_contra: 0.0164 (0.1910) time: 2.8855 data: 0.0056 max mem: 31630 Epoch: [0] [3910/5278] eta: 1:05:40 lr: 4.9165597131349766e-05 loss: 0.2127 (0.2612) loss_seg: 0.2116 (0.2580) loss_lansim: 0.1154 (0.1326) loss_contra: 0.0142 (0.1906) time: 2.8893 data: 0.0056 max mem: 31630 Epoch: [0] [3920/5278] eta: 1:05:11 lr: 4.916346164765003e-05 loss: 0.2173 (0.2612) loss_seg: 0.2165 (0.2580) loss_lansim: 0.1150 (0.1326) loss_contra: 0.0130 (0.1902) time: 2.8847 data: 0.0057 max mem: 31630 Epoch: [0] [3930/5278] eta: 1:04:42 lr: 4.916132615364382e-05 loss: 0.2181 (0.2611) loss_seg: 0.2171 (0.2578) loss_lansim: 0.1117 (0.1326) loss_contra: 0.0117 (0.1899) time: 2.8865 data: 0.0058 max mem: 31630 Epoch: [0] [3940/5278] eta: 1:04:13 lr: 4.91591906493306e-05 loss: 0.2225 (0.2610) loss_seg: 0.2214 (0.2577) loss_lansim: 0.1117 (0.1325) loss_contra: 0.0114 (0.1894) time: 2.8842 data: 0.0059 max mem: 31630 Epoch: [0] [3950/5278] eta: 1:03:44 lr: 4.9157055134709824e-05 loss: 0.2181 (0.2609) loss_seg: 0.2171 (0.2577) loss_lansim: 0.1114 (0.1325) loss_contra: 0.0114 (0.1890) time: 2.8841 data: 0.0059 max mem: 31630 Epoch: [0] [3960/5278] eta: 1:03:16 lr: 4.915491960978095e-05 loss: 0.2252 (0.2608) loss_seg: 0.2241 (0.2576) loss_lansim: 0.1138 (0.1325) loss_contra: 0.0141 (0.1887) time: 2.8892 data: 0.0059 max mem: 31630 Epoch: [0] [3970/5278] eta: 1:02:47 lr: 4.915278407454341e-05 loss: 0.2181 (0.2607) loss_seg: 0.2171 (0.2575) loss_lansim: 0.1138 (0.1324) loss_contra: 0.0150 (0.1885) time: 2.8880 data: 0.0059 max mem: 31630 Epoch: [0] [3980/5278] eta: 1:02:18 lr: 4.915064852899668e-05 loss: 0.2181 (0.2607) loss_seg: 0.2171 (0.2575) loss_lansim: 0.1114 (0.1324) loss_contra: 0.0146 (0.1881) time: 2.8916 data: 0.0059 max mem: 31630 Epoch: [0] [3990/5278] eta: 1:01:49 lr: 4.91485129731402e-05 loss: 0.2163 (0.2606) loss_seg: 0.2149 (0.2574) loss_lansim: 0.1114 (0.1323) loss_contra: 0.0146 (0.1877) time: 2.8879 data: 0.0060 max mem: 31630 Epoch: [0] [4000/5278] eta: 1:01:21 lr: 4.914637740697343e-05 loss: 0.2208 (0.2606) loss_seg: 0.2189 (0.2574) loss_lansim: 0.1102 (0.1323) loss_contra: 0.0173 (0.1873) time: 2.8866 data: 0.0060 max mem: 31630 Epoch: [0] [4010/5278] eta: 1:00:52 lr: 4.914424183049581e-05 loss: 0.2208 (0.2605) loss_seg: 0.2189 (0.2573) loss_lansim: 0.1111 (0.1323) loss_contra: 0.0173 (0.1870) time: 2.8836 data: 0.0061 max mem: 31630 Epoch: [0] [4020/5278] eta: 1:00:23 lr: 4.91421062437068e-05 loss: 0.2181 (0.2605) loss_seg: 0.2171 (0.2573) loss_lansim: 0.1125 (0.1322) loss_contra: 0.0178 (0.1866) time: 2.8866 data: 0.0061 max mem: 31630 Epoch: [0] [4030/5278] eta: 0:59:54 lr: 4.913997064660586e-05 loss: 0.2208 (0.2604) loss_seg: 0.2189 (0.2572) loss_lansim: 0.1132 (0.1322) loss_contra: 0.0208 (0.1863) time: 2.8887 data: 0.0061 max mem: 31630 Epoch: [0] [4040/5278] eta: 0:59:26 lr: 4.9137835039192436e-05 loss: 0.2273 (0.2604) loss_seg: 0.2256 (0.2572) loss_lansim: 0.1156 (0.1322) loss_contra: 0.0275 (0.1862) time: 2.8902 data: 0.0061 max mem: 31630 Epoch: [0] [4050/5278] eta: 0:58:57 lr: 4.913569942146598e-05 loss: 0.2292 (0.2604) loss_seg: 0.2277 (0.2572) loss_lansim: 0.1132 (0.1321) loss_contra: 0.0290 (0.1859) time: 2.8971 data: 0.0060 max mem: 31630 Epoch: [0] [4060/5278] eta: 0:58:28 lr: 4.913356379342593e-05 loss: 0.2282 (0.2603) loss_seg: 0.2268 (0.2571) loss_lansim: 0.1103 (0.1320) loss_contra: 0.0314 (0.1858) time: 2.8978 data: 0.0060 max mem: 31630 Epoch: [0] [4070/5278] eta: 0:57:59 lr: 4.9131428155071755e-05 loss: 0.2331 (0.2603) loss_seg: 0.2312 (0.2571) loss_lansim: 0.1087 (0.1320) loss_contra: 0.0322 (0.1857) time: 2.8987 data: 0.0061 max mem: 31630 Epoch: [0] [4080/5278] eta: 0:57:31 lr: 4.912929250640291e-05 loss: 0.2328 (0.2602) loss_seg: 0.2301 (0.2570) loss_lansim: 0.1087 (0.1319) loss_contra: 0.0337 (0.1854) time: 2.9013 data: 0.0061 max mem: 31630 Epoch: [0] [4090/5278] eta: 0:57:02 lr: 4.9127156847418834e-05 loss: 0.2292 (0.2601) loss_seg: 0.2274 (0.2569) loss_lansim: 0.1083 (0.1318) loss_contra: 0.0375 (0.1852) time: 2.9031 data: 0.0060 max mem: 31630 Epoch: [0] [4100/5278] eta: 0:56:33 lr: 4.912502117811899e-05 loss: 0.2292 (0.2601) loss_seg: 0.2274 (0.2569) loss_lansim: 0.1095 (0.1318) loss_contra: 0.0370 (0.1850) time: 2.9010 data: 0.0060 max mem: 31630 Epoch: [0] [4110/5278] eta: 0:56:04 lr: 4.9122885498502826e-05 loss: 0.2331 (0.2600) loss_seg: 0.2312 (0.2569) loss_lansim: 0.1083 (0.1317) loss_contra: 0.0444 (0.1847) time: 2.8985 data: 0.0060 max mem: 31630 Epoch: [0] [4120/5278] eta: 0:55:36 lr: 4.912074980856979e-05 loss: 0.2292 (0.2600) loss_seg: 0.2274 (0.2568) loss_lansim: 0.1083 (0.1317) loss_contra: 0.0432 (0.1844) time: 2.8961 data: 0.0059 max mem: 31630 Epoch: [0] [4130/5278] eta: 0:55:07 lr: 4.911861410831934e-05 loss: 0.2284 (0.2599) loss_seg: 0.2265 (0.2567) loss_lansim: 0.1077 (0.1316) loss_contra: 0.0432 (0.1841) time: 2.8907 data: 0.0059 max mem: 31630 Epoch: [0] [4140/5278] eta: 0:54:38 lr: 4.911647839775092e-05 loss: 0.2253 (0.2598) loss_seg: 0.2239 (0.2567) loss_lansim: 0.1065 (0.1316) loss_contra: 0.0420 (0.1838) time: 2.8916 data: 0.0059 max mem: 31630 Epoch: [0] [4150/5278] eta: 0:54:09 lr: 4.911434267686398e-05 loss: 0.2253 (0.2599) loss_seg: 0.2239 (0.2567) loss_lansim: 0.1078 (0.1315) loss_contra: 0.0407 (0.1835) time: 2.8861 data: 0.0059 max mem: 31630 Epoch: [0] [4160/5278] eta: 0:53:40 lr: 4.911220694565799e-05 loss: 0.2280 (0.2598) loss_seg: 0.2244 (0.2567) loss_lansim: 0.1093 (0.1316) loss_contra: 0.0351 (0.1835) time: 2.8874 data: 0.0059 max mem: 31630 Epoch: [0] [4170/5278] eta: 0:53:12 lr: 4.911007120413238e-05 loss: 0.2284 (0.2599) loss_seg: 0.2256 (0.2567) loss_lansim: 0.1136 (0.1319) loss_contra: 0.0352 (0.1834) time: 2.8879 data: 0.0059 max mem: 31630 Epoch: [0] [4180/5278] eta: 0:52:43 lr: 4.910793545228662e-05 loss: 0.2332 (0.2598) loss_seg: 0.2289 (0.2567) loss_lansim: 0.1203 (0.1325) loss_contra: 0.0439 (0.1840) time: 2.8822 data: 0.0059 max mem: 31630 Epoch: [0] [4190/5278] eta: 0:52:14 lr: 4.910579969012014e-05 loss: 0.2357 (0.2598) loss_seg: 0.2322 (0.2566) loss_lansim: 0.1273 (0.1327) loss_contra: 0.0563 (0.1844) time: 2.8845 data: 0.0059 max mem: 31630 Epoch: [0] [4200/5278] eta: 0:51:45 lr: 4.9103663917632406e-05 loss: 0.2340 (0.2598) loss_seg: 0.2289 (0.2566) loss_lansim: 0.1317 (0.1327) loss_contra: 0.0666 (0.1845) time: 2.8817 data: 0.0060 max mem: 31630 Epoch: [0] [4210/5278] eta: 0:51:16 lr: 4.910152813482288e-05 loss: 0.2342 (0.2598) loss_seg: 0.2298 (0.2567) loss_lansim: 0.1476 (0.1328) loss_contra: 0.0622 (0.1845) time: 2.8804 data: 0.0060 max mem: 31630 Epoch: [0] [4220/5278] eta: 0:50:47 lr: 4.909939234169099e-05 loss: 0.2357 (0.2598) loss_seg: 0.2319 (0.2567) loss_lansim: 0.1522 (0.1328) loss_contra: 0.0762 (0.1849) time: 2.8754 data: 0.0060 max mem: 31630 Epoch: [0] [4230/5278] eta: 0:50:18 lr: 4.909725653823619e-05 loss: 0.2482 (0.2599) loss_seg: 0.2455 (0.2567) loss_lansim: 0.1630 (0.1330) loss_contra: 0.1121 (0.1854) time: 2.8743 data: 0.0060 max mem: 31630 Epoch: [0] [4240/5278] eta: 0:49:49 lr: 4.909512072445794e-05 loss: 0.2482 (0.2598) loss_seg: 0.2455 (0.2566) loss_lansim: 0.1727 (0.1333) loss_contra: 0.1317 (0.1855) time: 2.8648 data: 0.0060 max mem: 31630 Epoch: [0] [4250/5278] eta: 0:49:21 lr: 4.9092984900355706e-05 loss: 0.2482 (0.2598) loss_seg: 0.2455 (0.2566) loss_lansim: 0.2062 (0.1336) loss_contra: 0.1484 (0.1854) time: 2.8627 data: 0.0060 max mem: 31630 Epoch: [0] [4260/5278] eta: 0:48:52 lr: 4.9090849065928906e-05 loss: 0.2453 (0.2598) loss_seg: 0.2426 (0.2566) loss_lansim: 0.2077 (0.1337) loss_contra: 0.1929 (0.1856) time: 2.8511 data: 0.0060 max mem: 31630 Epoch: [0] [4270/5278] eta: 0:48:23 lr: 4.9088713221177005e-05 loss: 0.2348 (0.2597) loss_seg: 0.2303 (0.2565) loss_lansim: 0.2052 (0.1339) loss_contra: 0.1936 (0.1856) time: 2.8493 data: 0.0060 max mem: 31630 Epoch: [0] [4280/5278] eta: 0:47:54 lr: 4.908657736609947e-05 loss: 0.2300 (0.2597) loss_seg: 0.2255 (0.2565) loss_lansim: 0.1974 (0.1341) loss_contra: 0.1563 (0.1856) time: 2.8432 data: 0.0061 max mem: 31630 Epoch: [0] [4290/5278] eta: 0:47:25 lr: 4.908444150069573e-05 loss: 0.2287 (0.2596) loss_seg: 0.2255 (0.2564) loss_lansim: 0.2017 (0.1343) loss_contra: 0.1563 (0.1856) time: 2.8421 data: 0.0061 max mem: 31630 Epoch: [0] [4300/5278] eta: 0:46:56 lr: 4.9082305624965245e-05 loss: 0.2287 (0.2595) loss_seg: 0.2255 (0.2563) loss_lansim: 0.2044 (0.1344) loss_contra: 0.1517 (0.1855) time: 2.8403 data: 0.0061 max mem: 31630 Epoch: [0] [4310/5278] eta: 0:46:27 lr: 4.9080169738907464e-05 loss: 0.2287 (0.2595) loss_seg: 0.2255 (0.2563) loss_lansim: 0.2052 (0.1345) loss_contra: 0.1390 (0.1853) time: 2.8370 data: 0.0061 max mem: 31630 Epoch: [0] [4320/5278] eta: 0:45:58 lr: 4.9078033842521836e-05 loss: 0.2297 (0.2594) loss_seg: 0.2259 (0.2562) loss_lansim: 0.2062 (0.1347) loss_contra: 0.1305 (0.1851) time: 2.8355 data: 0.0061 max mem: 31630 Epoch: [0] [4330/5278] eta: 0:45:29 lr: 4.907589793580782e-05 loss: 0.2287 (0.2594) loss_seg: 0.2255 (0.2562) loss_lansim: 0.2052 (0.1348) loss_contra: 0.1164 (0.1849) time: 2.8330 data: 0.0060 max mem: 31630 Epoch: [0] [4340/5278] eta: 0:45:00 lr: 4.9073762018764857e-05 loss: 0.2273 (0.2594) loss_seg: 0.2240 (0.2562) loss_lansim: 0.2006 (0.1349) loss_contra: 0.0978 (0.1848) time: 2.8361 data: 0.0060 max mem: 31630 Epoch: [0] [4350/5278] eta: 0:44:32 lr: 4.9071626091392406e-05 loss: 0.2270 (0.2593) loss_seg: 0.2239 (0.2561) loss_lansim: 0.1964 (0.1350) loss_contra: 0.0793 (0.1846) time: 2.8416 data: 0.0060 max mem: 31630 Epoch: [0] [4360/5278] eta: 0:44:03 lr: 4.90694901536899e-05 loss: 0.2270 (0.2592) loss_seg: 0.2239 (0.2560) loss_lansim: 0.1916 (0.1351) loss_contra: 0.0800 (0.1845) time: 2.8521 data: 0.0060 max mem: 31630 Epoch: [0] [4370/5278] eta: 0:43:34 lr: 4.906735420565682e-05 loss: 0.2300 (0.2592) loss_seg: 0.2271 (0.2560) loss_lansim: 0.1889 (0.1352) loss_contra: 0.0736 (0.1845) time: 2.8504 data: 0.0059 max mem: 31630 Epoch: [0] [4380/5278] eta: 0:43:05 lr: 4.9065218247292585e-05 loss: 0.2297 (0.2591) loss_seg: 0.2276 (0.2559) loss_lansim: 0.1877 (0.1353) loss_contra: 0.0616 (0.1842) time: 2.8594 data: 0.0059 max mem: 31630 Epoch: [0] [4390/5278] eta: 0:42:36 lr: 4.9063082278596663e-05 loss: 0.2297 (0.2590) loss_seg: 0.2278 (0.2558) loss_lansim: 0.1835 (0.1354) loss_contra: 0.0575 (0.1840) time: 2.8555 data: 0.0057 max mem: 31630 Epoch: [0] [4400/5278] eta: 0:42:08 lr: 4.906094629956849e-05 loss: 0.2297 (0.2589) loss_seg: 0.2278 (0.2557) loss_lansim: 0.1794 (0.1355) loss_contra: 0.0567 (0.1837) time: 2.8601 data: 0.0057 max mem: 31630 Epoch: [0] [4410/5278] eta: 0:41:39 lr: 4.905881031020754e-05 loss: 0.2270 (0.2589) loss_seg: 0.2239 (0.2557) loss_lansim: 0.1794 (0.1356) loss_contra: 0.0454 (0.1833) time: 2.8655 data: 0.0057 max mem: 31630 Epoch: [0] [4420/5278] eta: 0:41:10 lr: 4.905667431051325e-05 loss: 0.2245 (0.2588) loss_seg: 0.2218 (0.2556) loss_lansim: 0.1753 (0.1356) loss_contra: 0.0439 (0.1831) time: 2.8720 data: 0.0056 max mem: 31630 Epoch: [0] [4430/5278] eta: 0:40:41 lr: 4.905453830048507e-05 loss: 0.2247 (0.2587) loss_seg: 0.2224 (0.2556) loss_lansim: 0.1670 (0.1356) loss_contra: 0.0401 (0.1828) time: 2.8825 data: 0.0056 max mem: 31630 Epoch: [0] [4440/5278] eta: 0:40:13 lr: 4.905240228012243e-05 loss: 0.2198 (0.2587) loss_seg: 0.2175 (0.2555) loss_lansim: 0.1655 (0.1357) loss_contra: 0.0423 (0.1826) time: 2.8843 data: 0.0056 max mem: 31630 Epoch: [0] [4450/5278] eta: 0:39:44 lr: 4.905026624942482e-05 loss: 0.2198 (0.2586) loss_seg: 0.2175 (0.2554) loss_lansim: 0.1655 (0.1357) loss_contra: 0.0401 (0.1824) time: 2.8843 data: 0.0057 max mem: 31630 Epoch: [0] [4460/5278] eta: 0:39:15 lr: 4.9048130208391665e-05 loss: 0.2198 (0.2585) loss_seg: 0.2175 (0.2553) loss_lansim: 0.1652 (0.1358) loss_contra: 0.0372 (0.1821) time: 2.8777 data: 0.0056 max mem: 31630 Epoch: [0] [4470/5278] eta: 0:38:46 lr: 4.9045994157022413e-05 loss: 0.2163 (0.2584) loss_seg: 0.2140 (0.2552) loss_lansim: 0.1660 (0.1359) loss_contra: 0.0401 (0.1821) time: 2.8807 data: 0.0056 max mem: 31630 Epoch: [0] [4480/5278] eta: 0:38:17 lr: 4.904385809531652e-05 loss: 0.2110 (0.2583) loss_seg: 0.2086 (0.2551) loss_lansim: 0.1660 (0.1361) loss_contra: 0.0350 (0.1819) time: 2.8807 data: 0.0055 max mem: 31630 Epoch: [0] [4490/5278] eta: 0:37:49 lr: 4.904172202327344e-05 loss: 0.2087 (0.2582) loss_seg: 0.2052 (0.2550) loss_lansim: 0.1726 (0.1362) loss_contra: 0.0312 (0.1817) time: 2.8893 data: 0.0055 max mem: 31630 Epoch: [0] [4500/5278] eta: 0:37:20 lr: 4.903958594089262e-05 loss: 0.2072 (0.2581) loss_seg: 0.2043 (0.2549) loss_lansim: 0.1726 (0.1363) loss_contra: 0.0323 (0.1815) time: 2.8884 data: 0.0055 max mem: 31630 Epoch: [0] [4510/5278] eta: 0:36:51 lr: 4.903744984817351e-05 loss: 0.2098 (0.2581) loss_seg: 0.2084 (0.2549) loss_lansim: 0.1641 (0.1363) loss_contra: 0.0323 (0.1813) time: 2.8926 data: 0.0054 max mem: 31630 Epoch: [0] [4520/5278] eta: 0:36:22 lr: 4.903531374511555e-05 loss: 0.2098 (0.2580) loss_seg: 0.2081 (0.2548) loss_lansim: 0.1660 (0.1364) loss_contra: 0.0347 (0.1809) time: 2.8870 data: 0.0054 max mem: 31630 Epoch: [0] [4530/5278] eta: 0:35:54 lr: 4.9033177631718196e-05 loss: 0.2098 (0.2579) loss_seg: 0.2081 (0.2547) loss_lansim: 0.1713 (0.1364) loss_contra: 0.0339 (0.1807) time: 2.8844 data: 0.0053 max mem: 31630 Epoch: [0] [4540/5278] eta: 0:35:25 lr: 4.903104150798091e-05 loss: 0.2098 (0.2579) loss_seg: 0.2081 (0.2547) loss_lansim: 0.1660 (0.1364) loss_contra: 0.0323 (0.1805) time: 2.8877 data: 0.0052 max mem: 31630 Epoch: [0] [4550/5278] eta: 0:34:56 lr: 4.902890537390312e-05 loss: 0.2107 (0.2578) loss_seg: 0.2085 (0.2546) loss_lansim: 0.1662 (0.1365) loss_contra: 0.0293 (0.1803) time: 2.8895 data: 0.0051 max mem: 31630 Epoch: [0] [4560/5278] eta: 0:34:27 lr: 4.902676922948428e-05 loss: 0.2109 (0.2577) loss_seg: 0.2086 (0.2545) loss_lansim: 0.1726 (0.1366) loss_contra: 0.0293 (0.1801) time: 2.8928 data: 0.0051 max mem: 31630 Epoch: [0] [4570/5278] eta: 0:33:58 lr: 4.902463307472385e-05 loss: 0.2118 (0.2577) loss_seg: 0.2101 (0.2545) loss_lansim: 0.1662 (0.1367) loss_contra: 0.0286 (0.1799) time: 2.8958 data: 0.0051 max mem: 31630 Epoch: [0] [4580/5278] eta: 0:33:30 lr: 4.9022496909621285e-05 loss: 0.2118 (0.2576) loss_seg: 0.2106 (0.2544) loss_lansim: 0.1649 (0.1368) loss_contra: 0.0286 (0.1797) time: 2.8947 data: 0.0051 max mem: 31630 Epoch: [0] [4590/5278] eta: 0:33:01 lr: 4.902036073417601e-05 loss: 0.2171 (0.2576) loss_seg: 0.2155 (0.2544) loss_lansim: 0.1642 (0.1369) loss_contra: 0.0305 (0.1795) time: 2.8909 data: 0.0051 max mem: 31630 Epoch: [0] [4600/5278] eta: 0:32:32 lr: 4.901822454838749e-05 loss: 0.2148 (0.2575) loss_seg: 0.2123 (0.2543) loss_lansim: 0.1692 (0.1370) loss_contra: 0.0293 (0.1793) time: 2.8923 data: 0.0051 max mem: 31630 Epoch: [0] [4610/5278] eta: 0:32:03 lr: 4.901608835225517e-05 loss: 0.2124 (0.2574) loss_seg: 0.2106 (0.2542) loss_lansim: 0.1736 (0.1371) loss_contra: 0.0305 (0.1790) time: 2.8909 data: 0.0051 max mem: 31630 Epoch: [0] [4620/5278] eta: 0:31:35 lr: 4.9013952145778515e-05 loss: 0.2148 (0.2573) loss_seg: 0.2123 (0.2541) loss_lansim: 0.1736 (0.1371) loss_contra: 0.0305 (0.1789) time: 2.8957 data: 0.0050 max mem: 31630 Epoch: [0] [4630/5278] eta: 0:31:06 lr: 4.901181592895694e-05 loss: 0.2163 (0.2572) loss_seg: 0.2145 (0.2540) loss_lansim: 0.1736 (0.1372) loss_contra: 0.0363 (0.1786) time: 2.8956 data: 0.0051 max mem: 31630 Epoch: [0] [4640/5278] eta: 0:30:37 lr: 4.9009679701789926e-05 loss: 0.2163 (0.2572) loss_seg: 0.2145 (0.2540) loss_lansim: 0.1752 (0.1373) loss_contra: 0.0371 (0.1784) time: 2.8969 data: 0.0050 max mem: 31630 Epoch: [0] [4650/5278] eta: 0:30:08 lr: 4.90075434642769e-05 loss: 0.2148 (0.2571) loss_seg: 0.2123 (0.2540) loss_lansim: 0.1782 (0.1374) loss_contra: 0.0418 (0.1783) time: 2.8912 data: 0.0050 max mem: 31630 Epoch: [0] [4660/5278] eta: 0:29:39 lr: 4.9005407216417334e-05 loss: 0.2163 (0.2570) loss_seg: 0.2145 (0.2539) loss_lansim: 0.1773 (0.1374) loss_contra: 0.0413 (0.1780) time: 2.8933 data: 0.0050 max mem: 31630 Epoch: [0] [4670/5278] eta: 0:29:11 lr: 4.9003270958210647e-05 loss: 0.2113 (0.2570) loss_seg: 0.2095 (0.2538) loss_lansim: 0.1744 (0.1375) loss_contra: 0.0413 (0.1778) time: 2.8884 data: 0.0050 max mem: 31630 Epoch: [0] [4680/5278] eta: 0:28:42 lr: 4.9001134689656306e-05 loss: 0.2175 (0.2569) loss_seg: 0.2150 (0.2537) loss_lansim: 0.1691 (0.1375) loss_contra: 0.0373 (0.1774) time: 2.8873 data: 0.0050 max mem: 31630 Epoch: [0] [4690/5278] eta: 0:28:13 lr: 4.899899841075376e-05 loss: 0.2170 (0.2569) loss_seg: 0.2150 (0.2537) loss_lansim: 0.1619 (0.1375) loss_contra: 0.0352 (0.1772) time: 2.8823 data: 0.0050 max mem: 31630 Epoch: [0] [4700/5278] eta: 0:27:44 lr: 4.899686212150245e-05 loss: 0.2170 (0.2568) loss_seg: 0.2150 (0.2536) loss_lansim: 0.1588 (0.1375) loss_contra: 0.0271 (0.1769) time: 2.8866 data: 0.0050 max mem: 31630 Epoch: [0] [4710/5278] eta: 0:27:15 lr: 4.899472582190184e-05 loss: 0.2192 (0.2568) loss_seg: 0.2174 (0.2536) loss_lansim: 0.1574 (0.1376) loss_contra: 0.0271 (0.1766) time: 2.8802 data: 0.0049 max mem: 31630 Epoch: [0] [4720/5278] eta: 0:26:47 lr: 4.899258951195136e-05 loss: 0.2187 (0.2567) loss_seg: 0.2170 (0.2535) loss_lansim: 0.1540 (0.1376) loss_contra: 0.0264 (0.1763) time: 2.8762 data: 0.0050 max mem: 31630 Epoch: [0] [4730/5278] eta: 0:26:18 lr: 4.8990453191650463e-05 loss: 0.2187 (0.2566) loss_seg: 0.2170 (0.2535) loss_lansim: 0.1488 (0.1376) loss_contra: 0.0241 (0.1760) time: 2.8693 data: 0.0051 max mem: 31630 Epoch: [0] [4740/5278] eta: 0:25:49 lr: 4.8988316860998607e-05 loss: 0.2170 (0.2566) loss_seg: 0.2150 (0.2535) loss_lansim: 0.1458 (0.1376) loss_contra: 0.0226 (0.1757) time: 2.8644 data: 0.0052 max mem: 31630 Epoch: [0] [4750/5278] eta: 0:25:20 lr: 4.8986180519995235e-05 loss: 0.2187 (0.2566) loss_seg: 0.2170 (0.2535) loss_lansim: 0.1448 (0.1376) loss_contra: 0.0217 (0.1755) time: 2.8673 data: 0.0052 max mem: 31630 Epoch: [0] [4760/5278] eta: 0:24:51 lr: 4.8984044168639785e-05 loss: 0.2200 (0.2566) loss_seg: 0.2184 (0.2535) loss_lansim: 0.1434 (0.1376) loss_contra: 0.0197 (0.1752) time: 2.8629 data: 0.0054 max mem: 31630 Epoch: [0] [4770/5278] eta: 0:24:22 lr: 4.8981907806931716e-05 loss: 0.2201 (0.2565) loss_seg: 0.2185 (0.2534) loss_lansim: 0.1433 (0.1376) loss_contra: 0.0234 (0.1750) time: 2.8627 data: 0.0054 max mem: 31630 Epoch: [0] [4780/5278] eta: 0:23:54 lr: 4.897977143487048e-05 loss: 0.2238 (0.2566) loss_seg: 0.2209 (0.2534) loss_lansim: 0.1470 (0.1377) loss_contra: 0.0258 (0.1747) time: 2.8613 data: 0.0055 max mem: 31630 Epoch: [0] [4790/5278] eta: 0:23:25 lr: 4.897763505245551e-05 loss: 0.2215 (0.2565) loss_seg: 0.2185 (0.2534) loss_lansim: 0.1470 (0.1377) loss_contra: 0.0242 (0.1746) time: 2.8612 data: 0.0055 max mem: 31630 Epoch: [0] [4800/5278] eta: 0:22:56 lr: 4.897549865968627e-05 loss: 0.2233 (0.2564) loss_seg: 0.2199 (0.2533) loss_lansim: 0.1473 (0.1378) loss_contra: 0.0282 (0.1748) time: 2.8522 data: 0.0056 max mem: 31630 Epoch: [0] [4810/5278] eta: 0:22:27 lr: 4.89733622565622e-05 loss: 0.2191 (0.2563) loss_seg: 0.2170 (0.2532) loss_lansim: 0.1484 (0.1378) loss_contra: 0.0284 (0.1746) time: 2.8538 data: 0.0057 max mem: 31630 Epoch: [0] [4820/5278] eta: 0:21:58 lr: 4.897122584308275e-05 loss: 0.2233 (0.2563) loss_seg: 0.2199 (0.2531) loss_lansim: 0.1489 (0.1379) loss_contra: 0.0315 (0.1744) time: 2.8600 data: 0.0057 max mem: 31630 Epoch: [0] [4830/5278] eta: 0:21:30 lr: 4.896908941924737e-05 loss: 0.2215 (0.2562) loss_seg: 0.2184 (0.2531) loss_lansim: 0.1505 (0.1379) loss_contra: 0.0343 (0.1742) time: 2.8633 data: 0.0057 max mem: 31630 Epoch: [0] [4840/5278] eta: 0:21:01 lr: 4.896695298505549e-05 loss: 0.2259 (0.2563) loss_seg: 0.2224 (0.2532) loss_lansim: 0.1503 (0.1379) loss_contra: 0.0343 (0.1741) time: 2.8671 data: 0.0056 max mem: 31630 Epoch: [0] [4850/5278] eta: 0:20:32 lr: 4.8964816540506584e-05 loss: 0.2233 (0.2562) loss_seg: 0.2195 (0.2530) loss_lansim: 0.1489 (0.1379) loss_contra: 0.0343 (0.1740) time: 2.8657 data: 0.0056 max mem: 31630 Epoch: [0] [4860/5278] eta: 0:20:03 lr: 4.896268008560009e-05 loss: 0.2215 (0.2561) loss_seg: 0.2165 (0.2530) loss_lansim: 0.1490 (0.1379) loss_contra: 0.0397 (0.1741) time: 2.8636 data: 0.0056 max mem: 31630 Epoch: [0] [4870/5278] eta: 0:19:34 lr: 4.8960543620335446e-05 loss: 0.2215 (0.2560) loss_seg: 0.2165 (0.2529) loss_lansim: 0.1503 (0.1379) loss_contra: 0.0352 (0.1738) time: 2.8690 data: 0.0055 max mem: 31630 Epoch: [0] [4880/5278] eta: 0:19:06 lr: 4.895840714471212e-05 loss: 0.2124 (0.2560) loss_seg: 0.2092 (0.2529) loss_lansim: 0.1466 (0.1379) loss_contra: 0.0474 (0.1737) time: 2.8705 data: 0.0056 max mem: 31630 Epoch: [0] [4890/5278] eta: 0:18:37 lr: 4.895627065872953e-05 loss: 0.2124 (0.2560) loss_seg: 0.2092 (0.2528) loss_lansim: 0.1453 (0.1380) loss_contra: 0.0528 (0.1735) time: 2.8808 data: 0.0056 max mem: 31630 Epoch: [0] [4900/5278] eta: 0:18:08 lr: 4.8954134162387145e-05 loss: 0.2088 (0.2559) loss_seg: 0.2071 (0.2528) loss_lansim: 0.1451 (0.1380) loss_contra: 0.0474 (0.1733) time: 2.8826 data: 0.0055 max mem: 31630 Epoch: [0] [4910/5278] eta: 0:17:39 lr: 4.895199765568441e-05 loss: 0.2142 (0.2558) loss_seg: 0.2115 (0.2527) loss_lansim: 0.1451 (0.1380) loss_contra: 0.0376 (0.1730) time: 2.8892 data: 0.0055 max mem: 31630 Epoch: [0] [4920/5278] eta: 0:17:10 lr: 4.8949861138620774e-05 loss: 0.2175 (0.2558) loss_seg: 0.2154 (0.2527) loss_lansim: 0.1444 (0.1380) loss_contra: 0.0376 (0.1728) time: 2.8815 data: 0.0055 max mem: 31630 Epoch: [0] [4930/5278] eta: 0:16:42 lr: 4.8947724611195676e-05 loss: 0.2222 (0.2558) loss_seg: 0.2182 (0.2527) loss_lansim: 0.1456 (0.1381) loss_contra: 0.0329 (0.1725) time: 2.8876 data: 0.0055 max mem: 31630 Epoch: [0] [4940/5278] eta: 0:16:13 lr: 4.8945588073408566e-05 loss: 0.2175 (0.2558) loss_seg: 0.2154 (0.2527) loss_lansim: 0.1471 (0.1381) loss_contra: 0.0324 (0.1723) time: 2.8813 data: 0.0055 max mem: 31630 Epoch: [0] [4950/5278] eta: 0:15:44 lr: 4.8943451525258896e-05 loss: 0.2222 (0.2557) loss_seg: 0.2182 (0.2526) loss_lansim: 0.1471 (0.1381) loss_contra: 0.0324 (0.1721) time: 2.8902 data: 0.0056 max mem: 31630 Epoch: [0] [4960/5278] eta: 0:15:15 lr: 4.894131496674611e-05 loss: 0.2176 (0.2556) loss_seg: 0.2154 (0.2525) loss_lansim: 0.1423 (0.1381) loss_contra: 0.0250 (0.1718) time: 2.8903 data: 0.0055 max mem: 31630 Epoch: [0] [4970/5278] eta: 0:14:46 lr: 4.893917839786965e-05 loss: 0.2175 (0.2556) loss_seg: 0.2154 (0.2525) loss_lansim: 0.1401 (0.1380) loss_contra: 0.0250 (0.1715) time: 2.8935 data: 0.0056 max mem: 31630 Epoch: [0] [4980/5278] eta: 0:14:18 lr: 4.893704181862897e-05 loss: 0.2222 (0.2556) loss_seg: 0.2199 (0.2525) loss_lansim: 0.1401 (0.1381) loss_contra: 0.0221 (0.1713) time: 2.8909 data: 0.0055 max mem: 31630 Epoch: [0] [4990/5278] eta: 0:13:49 lr: 4.893490522902351e-05 loss: 0.2248 (0.2556) loss_seg: 0.2233 (0.2525) loss_lansim: 0.1401 (0.1381) loss_contra: 0.0220 (0.1711) time: 2.8873 data: 0.0056 max mem: 31630 Epoch: [0] [5000/5278] eta: 0:13:20 lr: 4.893276862905273e-05 loss: 0.2272 (0.2556) loss_seg: 0.2259 (0.2525) loss_lansim: 0.1413 (0.1382) loss_contra: 0.0233 (0.1709) time: 2.8843 data: 0.0056 max mem: 31630 Epoch: [0] [5010/5278] eta: 0:12:51 lr: 4.893063201871606e-05 loss: 0.2323 (0.2556) loss_seg: 0.2288 (0.2525) loss_lansim: 0.1431 (0.1382) loss_contra: 0.0310 (0.1708) time: 2.8863 data: 0.0055 max mem: 31630 Epoch: [0] [5020/5278] eta: 0:12:22 lr: 4.8928495398012966e-05 loss: 0.2272 (0.2555) loss_seg: 0.2259 (0.2524) loss_lansim: 0.1431 (0.1383) loss_contra: 0.0347 (0.1706) time: 2.8862 data: 0.0056 max mem: 31630 Epoch: [0] [5030/5278] eta: 0:11:54 lr: 4.892635876694288e-05 loss: 0.2256 (0.2555) loss_seg: 0.2238 (0.2524) loss_lansim: 0.1413 (0.1383) loss_contra: 0.0368 (0.1704) time: 2.8888 data: 0.0056 max mem: 31630 Epoch: [0] [5040/5278] eta: 0:11:25 lr: 4.892422212550525e-05 loss: 0.2232 (0.2555) loss_seg: 0.2220 (0.2524) loss_lansim: 0.1401 (0.1383) loss_contra: 0.0368 (0.1703) time: 2.8871 data: 0.0056 max mem: 31630 Epoch: [0] [5050/5278] eta: 0:10:56 lr: 4.8922085473699526e-05 loss: 0.2256 (0.2555) loss_seg: 0.2238 (0.2524) loss_lansim: 0.1380 (0.1382) loss_contra: 0.0385 (0.1701) time: 2.8798 data: 0.0056 max mem: 31630 Epoch: [0] [5060/5278] eta: 0:10:27 lr: 4.8919948811525154e-05 loss: 0.2316 (0.2554) loss_seg: 0.2288 (0.2523) loss_lansim: 0.1358 (0.1382) loss_contra: 0.0392 (0.1699) time: 2.8794 data: 0.0057 max mem: 31630 Epoch: [0] [5070/5278] eta: 0:09:58 lr: 4.891781213898158e-05 loss: 0.2303 (0.2553) loss_seg: 0.2285 (0.2523) loss_lansim: 0.1403 (0.1382) loss_contra: 0.0417 (0.1696) time: 2.8768 data: 0.0057 max mem: 31630 Epoch: [0] [5080/5278] eta: 0:09:30 lr: 4.891567545606825e-05 loss: 0.2316 (0.2553) loss_seg: 0.2290 (0.2523) loss_lansim: 0.1424 (0.1383) loss_contra: 0.0441 (0.1694) time: 2.8804 data: 0.0057 max mem: 31630 Epoch: [0] [5090/5278] eta: 0:09:01 lr: 4.891353876278461e-05 loss: 0.2307 (0.2553) loss_seg: 0.2286 (0.2522) loss_lansim: 0.1424 (0.1383) loss_contra: 0.0441 (0.1693) time: 2.8780 data: 0.0057 max mem: 31630 Epoch: [0] [5100/5278] eta: 0:08:32 lr: 4.891140205913011e-05 loss: 0.2294 (0.2553) loss_seg: 0.2280 (0.2522) loss_lansim: 0.1400 (0.1383) loss_contra: 0.0441 (0.1690) time: 2.8817 data: 0.0057 max mem: 31630 Epoch: [0] [5110/5278] eta: 0:08:03 lr: 4.890926534510419e-05 loss: 0.2291 (0.2552) loss_seg: 0.2272 (0.2521) loss_lansim: 0.1378 (0.1383) loss_contra: 0.0405 (0.1688) time: 2.8754 data: 0.0059 max mem: 31630 Epoch: [0] [5120/5278] eta: 0:07:34 lr: 4.890712862070631e-05 loss: 0.2247 (0.2551) loss_seg: 0.2234 (0.2521) loss_lansim: 0.1357 (0.1383) loss_contra: 0.0346 (0.1686) time: 2.8795 data: 0.0059 max mem: 31630 Epoch: [0] [5130/5278] eta: 0:07:06 lr: 4.890499188593589e-05 loss: 0.2291 (0.2552) loss_seg: 0.2272 (0.2521) loss_lansim: 0.1370 (0.1383) loss_contra: 0.0333 (0.1685) time: 2.8751 data: 0.0059 max mem: 31630 Epoch: [0] [5140/5278] eta: 0:06:37 lr: 4.89028551407924e-05 loss: 0.2280 (0.2551) loss_seg: 0.2256 (0.2520) loss_lansim: 0.1392 (0.1385) loss_contra: 0.0389 (0.1684) time: 2.8820 data: 0.0059 max mem: 31630 Epoch: [0] [5150/5278] eta: 0:06:08 lr: 4.8900718385275274e-05 loss: 0.2280 (0.2550) loss_seg: 0.2256 (0.2520) loss_lansim: 0.1419 (0.1385) loss_contra: 0.0389 (0.1684) time: 2.8824 data: 0.0058 max mem: 31630 Epoch: [0] [5160/5278] eta: 0:05:39 lr: 4.8898581619383974e-05 loss: 0.2178 (0.2549) loss_seg: 0.2158 (0.2519) loss_lansim: 0.1467 (0.1386) loss_contra: 0.0346 (0.1681) time: 2.8889 data: 0.0058 max mem: 31630 Epoch: [0] [5170/5278] eta: 0:05:11 lr: 4.889644484311792e-05 loss: 0.2280 (0.2549) loss_seg: 0.2256 (0.2519) loss_lansim: 0.1502 (0.1386) loss_contra: 0.0382 (0.1679) time: 2.8860 data: 0.0058 max mem: 31630 Epoch: [0] [5180/5278] eta: 0:04:42 lr: 4.889430805647658e-05 loss: 0.2178 (0.2549) loss_seg: 0.2158 (0.2518) loss_lansim: 0.1503 (0.1386) loss_contra: 0.0382 (0.1677) time: 2.8842 data: 0.0058 max mem: 31630 Epoch: [0] [5190/5278] eta: 0:04:13 lr: 4.8892171259459385e-05 loss: 0.2137 (0.2548) loss_seg: 0.2122 (0.2517) loss_lansim: 0.1493 (0.1386) loss_contra: 0.0371 (0.1675) time: 2.8832 data: 0.0058 max mem: 31630 Epoch: [0] [5200/5278] eta: 0:03:44 lr: 4.8890034452065794e-05 loss: 0.2176 (0.2548) loss_seg: 0.2157 (0.2517) loss_lansim: 0.1467 (0.1386) loss_contra: 0.0321 (0.1672) time: 2.8879 data: 0.0057 max mem: 31630 Epoch: [0] [5210/5278] eta: 0:03:15 lr: 4.8887897634295244e-05 loss: 0.2174 (0.2547) loss_seg: 0.2148 (0.2516) loss_lansim: 0.1445 (0.1385) loss_contra: 0.0287 (0.1669) time: 2.8871 data: 0.0056 max mem: 31630 Epoch: [0] [5220/5278] eta: 0:02:47 lr: 4.8885760806147185e-05 loss: 0.2176 (0.2546) loss_seg: 0.2158 (0.2516) loss_lansim: 0.1437 (0.1385) loss_contra: 0.0266 (0.1666) time: 2.8938 data: 0.0056 max mem: 31630 Epoch: [0] [5230/5278] eta: 0:02:18 lr: 4.8883623967621054e-05 loss: 0.2186 (0.2546) loss_seg: 0.2172 (0.2516) loss_lansim: 0.1410 (0.1384) loss_contra: 0.0266 (0.1664) time: 2.8888 data: 0.0057 max mem: 31630 Epoch: [0] [5240/5278] eta: 0:01:49 lr: 4.888148711871631e-05 loss: 0.2195 (0.2546) loss_seg: 0.2181 (0.2515) loss_lansim: 0.1384 (0.1384) loss_contra: 0.0241 (0.1662) time: 2.8897 data: 0.0057 max mem: 31630 Epoch: [0] [5250/5278] eta: 0:01:20 lr: 4.887935025943239e-05 loss: 0.2219 (0.2546) loss_seg: 0.2203 (0.2515) loss_lansim: 0.1297 (0.1384) loss_contra: 0.0197 (0.1660) time: 2.8892 data: 0.0057 max mem: 31630 Epoch: [0] [5260/5278] eta: 0:00:51 lr: 4.887721338976874e-05 loss: 0.2219 (0.2545) loss_seg: 0.2203 (0.2514) loss_lansim: 0.1259 (0.1384) loss_contra: 0.0213 (0.1658) time: 2.8905 data: 0.0057 max mem: 31630 Epoch: [0] [5270/5278] eta: 0:00:23 lr: 4.88750765097248e-05 loss: 0.2186 (0.2544) loss_seg: 0.2172 (0.2514) loss_lansim: 0.1213 (0.1383) loss_contra: 0.0213 (0.1656) time: 2.8892 data: 0.0057 max mem: 31630 Epoch: [0] Total time: 4:13:21 Test: [ 0/2573] eta: 1:02:36 time: 1.4600 data: 1.2157 max mem: 31630 Test: [ 100/2573] eta: 0:06:18 time: 0.1400 data: 0.0015 max mem: 31630 Test: [ 200/2573] eta: 0:05:54 time: 0.1454 data: 0.0016 max mem: 31630 Test: [ 300/2573] eta: 0:05:32 time: 0.1396 data: 0.0016 max mem: 31630 Test: [ 400/2573] eta: 0:05:15 time: 0.1426 data: 0.0016 max mem: 31630 Test: [ 500/2573] eta: 0:05:00 time: 0.1433 data: 0.0016 max mem: 31630 Test: [ 600/2573] eta: 0:04:45 time: 0.1450 data: 0.0016 max mem: 31630 Test: [ 700/2573] eta: 0:04:32 time: 0.1486 data: 0.0016 max mem: 31630 Test: [ 800/2573] eta: 0:04:17 time: 0.1457 data: 0.0016 max mem: 31630 Test: [ 900/2573] eta: 0:04:03 time: 0.1461 data: 0.0016 max mem: 31630 Test: [1000/2573] eta: 0:03:48 time: 0.1447 data: 0.0016 max mem: 31630 Test: [1100/2573] eta: 0:03:33 time: 0.1437 data: 0.0016 max mem: 31630 Test: [1200/2573] eta: 0:03:19 time: 0.1464 data: 0.0016 max mem: 31630 Test: [1300/2573] eta: 0:03:04 time: 0.1448 data: 0.0016 max mem: 31630 Test: [1400/2573] eta: 0:02:50 time: 0.1410 data: 0.0016 max mem: 31630 Test: [1500/2573] eta: 0:02:35 time: 0.1459 data: 0.0016 max mem: 31630 Test: [1600/2573] eta: 0:02:21 time: 0.1443 data: 0.0016 max mem: 31630 Test: [1700/2573] eta: 0:02:06 time: 0.1456 data: 0.0016 max mem: 31630 Test: [1800/2573] eta: 0:01:52 time: 0.1425 data: 0.0016 max mem: 31630 Test: [1900/2573] eta: 0:01:37 time: 0.1409 data: 0.0016 max mem: 31630 Test: [2000/2573] eta: 0:01:22 time: 0.1415 data: 0.0016 max mem: 31630 Test: [2100/2573] eta: 0:01:08 time: 0.1453 data: 0.0016 max mem: 31630 Test: [2200/2573] eta: 0:00:53 time: 0.1407 data: 0.0016 max mem: 31630 Test: [2300/2573] eta: 0:00:39 time: 0.1461 data: 0.0016 max mem: 31630 Test: [2400/2573] eta: 0:00:25 time: 0.1455 data: 0.0016 max mem: 31630 Test: [2500/2573] eta: 0:00:10 time: 0.1475 data: 0.0016 max mem: 31630 Test: Total time: 0:06:12 /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 = 29.43 precision@0.6 = 21.34 precision@0.7 = 12.95 precision@0.8 = 6.29 precision@0.9 = 0.98 overall IoU = 34.30 mean IoU = 31.34 Better epoch: 0 The best_performance is 34.29914707803583 Epoch: [1] [ 0/5278] eta: 6:44:38 lr: 4.887336699821547e-05 loss: 0.2904 (0.2904) loss_seg: 0.2889 (0.2889) loss_lansim: 0.1557 (0.1557) loss_contra: 0.0033 (0.0033) time: 4.6000 data: 1.7022 max mem: 31630 Epoch: [1] [ 10/5278] eta: 4:27:53 lr: 4.8871230099485635e-05 loss: 0.2295 (0.2293) loss_seg: 0.2257 (0.2273) loss_lansim: 0.1141 (0.1184) loss_contra: 0.0061 (0.0789) time: 3.0512 data: 0.1579 max mem: 31630 Epoch: [1] [ 20/5278] eta: 4:19:12 lr: 4.886909319037395e-05 loss: 0.1828 (0.2035) loss_seg: 0.1798 (0.2015) loss_lansim: 0.1195 (0.1211) loss_contra: 0.0155 (0.0769) time: 2.9578 data: 0.0849 max mem: 31630 Epoch: [1] [ 30/5278] eta: 4:18:13 lr: 4.886695627087988e-05 loss: 0.1775 (0.1946) loss_seg: 0.1761 (0.1928) loss_lansim: 0.1163 (0.1185) loss_contra: 0.0296 (0.0699) time: 2.9523 data: 0.0594 max mem: 31630 Epoch: [1] [ 40/5278] eta: 4:15:49 lr: 4.886481934100286e-05 loss: 0.1764 (0.1953) loss_seg: 0.1751 (0.1935) loss_lansim: 0.1161 (0.1173) loss_contra: 0.0218 (0.0647) time: 2.9303 data: 0.0463 max mem: 31630 Epoch: [1] [ 50/5278] eta: 4:15:28 lr: 4.886268240074234e-05 loss: 0.1769 (0.1956) loss_seg: 0.1752 (0.1938) loss_lansim: 0.1163 (0.1186) loss_contra: 0.0322 (0.0703) time: 2.9321 data: 0.0385 max mem: 31630 Epoch: [1] [ 60/5278] eta: 4:13:51 lr: 4.886054545009776e-05 loss: 0.1769 (0.1962) loss_seg: 0.1752 (0.1943) loss_lansim: 0.1163 (0.1192) loss_contra: 0.0322 (0.0693) time: 2.9191 data: 0.0332 max mem: 31630 Epoch: [1] [ 70/5278] eta: 4:13:39 lr: 4.885840848906857e-05 loss: 0.1958 (0.2045) loss_seg: 0.1944 (0.2025) loss_lansim: 0.1164 (0.1191) loss_contra: 0.0322 (0.0800) time: 2.9223 data: 0.0293 max mem: 31630 Epoch: [1] [ 80/5278] eta: 4:12:42 lr: 4.8856271517654214e-05 loss: 0.1958 (0.2055) loss_seg: 0.1944 (0.2035) loss_lansim: 0.1174 (0.1208) loss_contra: 0.0341 (0.0781) time: 2.9169 data: 0.0264 max mem: 31630 Epoch: [1] [ 90/5278] eta: 4:12:00 lr: 4.885413453585413e-05 loss: 0.1870 (0.2042) loss_seg: 0.1851 (0.2022) loss_lansim: 0.1192 (0.1212) loss_contra: 0.0351 (0.0760) time: 2.9146 data: 0.0241 max mem: 31630 Epoch: [1] [ 100/5278] eta: 4:11:06 lr: 4.885199754366777e-05 loss: 0.1870 (0.2040) loss_seg: 0.1851 (0.2020) loss_lansim: 0.1192 (0.1213) loss_contra: 0.0351 (0.0752) time: 2.8929 data: 0.0055 max mem: 31630 Epoch: [1] [ 110/5278] eta: 4:10:38 lr: 4.8849860541094586e-05 loss: 0.1856 (0.2048) loss_seg: 0.1838 (0.2028) loss_lansim: 0.1194 (0.1213) loss_contra: 0.0361 (0.0759) time: 2.8943 data: 0.0057 max mem: 31630 Epoch: [1] [ 120/5278] eta: 4:09:48 lr: 4.884772352813401e-05 loss: 0.1958 (0.2045) loss_seg: 0.1944 (0.2026) loss_lansim: 0.1186 (0.1202) loss_contra: 0.0382 (0.0732) time: 2.8950 data: 0.0058 max mem: 31630 Epoch: [1] [ 130/5278] eta: 4:09:25 lr: 4.8845586504785484e-05 loss: 0.2032 (0.2056) loss_seg: 0.2021 (0.2037) loss_lansim: 0.1193 (0.1204) loss_contra: 0.0392 (0.0758) time: 2.8930 data: 0.0056 max mem: 31630 Epoch: [1] [ 140/5278] eta: 4:08:48 lr: 4.884344947104846e-05 loss: 0.2089 (0.2079) loss_seg: 0.2079 (0.2059) loss_lansim: 0.1194 (0.1198) loss_contra: 0.0394 (0.0735) time: 2.8952 data: 0.0056 max mem: 31630 Epoch: [1] [ 150/5278] eta: 4:08:02 lr: 4.884131242692239e-05 loss: 0.2119 (0.2091) loss_seg: 0.2097 (0.2072) loss_lansim: 0.1201 (0.1193) loss_contra: 0.0361 (0.0706) time: 2.8870 data: 0.0055 max mem: 31630 Epoch: [1] [ 160/5278] eta: 4:07:37 lr: 4.88391753724067e-05 loss: 0.2119 (0.2088) loss_seg: 0.2097 (0.2070) loss_lansim: 0.1194 (0.1186) loss_contra: 0.0314 (0.0668) time: 2.8930 data: 0.0054 max mem: 31630 Epoch: [1] [ 170/5278] eta: 4:06:52 lr: 4.883703830750085e-05 loss: 0.2097 (0.2098) loss_seg: 0.2084 (0.2080) loss_lansim: 0.1186 (0.1184) loss_contra: 0.0283 (0.0640) time: 2.8839 data: 0.0053 max mem: 31630 Epoch: [1] [ 180/5278] eta: 4:06:21 lr: 4.883490123220427e-05 loss: 0.2119 (0.2113) loss_seg: 0.2105 (0.2095) loss_lansim: 0.1180 (0.1181) loss_contra: 0.0229 (0.0650) time: 2.8854 data: 0.0052 max mem: 31630 Epoch: [1] [ 190/5278] eta: 4:05:43 lr: 4.883276414651642e-05 loss: 0.2119 (0.2110) loss_seg: 0.2105 (0.2091) loss_lansim: 0.1165 (0.1185) loss_contra: 0.0220 (0.0644) time: 2.8822 data: 0.0052 max mem: 31630 Epoch: [1] [ 200/5278] eta: 4:05:06 lr: 4.883062705043674e-05 loss: 0.2187 (0.2128) loss_seg: 0.2161 (0.2110) loss_lansim: 0.1165 (0.1191) loss_contra: 0.0190 (0.0627) time: 2.8823 data: 0.0051 max mem: 31630 Epoch: [1] [ 210/5278] eta: 4:04:42 lr: 4.8828489943964665e-05 loss: 0.2175 (0.2148) loss_seg: 0.2160 (0.2130) loss_lansim: 0.1180 (0.1204) loss_contra: 0.0166 (0.0611) time: 2.8831 data: 0.0051 max mem: 31630 Epoch: [1] [ 220/5278] eta: 4:04:18 lr: 4.8826352827099646e-05 loss: 0.2175 (0.2151) loss_seg: 0.2160 (0.2132) loss_lansim: 0.1218 (0.1209) loss_contra: 0.0162 (0.0599) time: 2.8886 data: 0.0051 max mem: 31630 Epoch: [1] [ 230/5278] eta: 4:03:42 lr: 4.8824215699841125e-05 loss: 0.2188 (0.2159) loss_seg: 0.2160 (0.2142) loss_lansim: 0.1201 (0.1207) loss_contra: 0.0115 (0.0577) time: 2.8832 data: 0.0051 max mem: 31630 Epoch: [1] [ 240/5278] eta: 4:03:06 lr: 4.8822078562188555e-05 loss: 0.2119 (0.2161) loss_seg: 0.2105 (0.2143) loss_lansim: 0.1226 (0.1213) loss_contra: 0.0119 (0.0577) time: 2.8811 data: 0.0051 max mem: 31630 Epoch: [1] [ 250/5278] eta: 4:02:36 lr: 4.881994141414136e-05 loss: 0.2091 (0.2155) loss_seg: 0.2074 (0.2137) loss_lansim: 0.1234 (0.1214) loss_contra: 0.0128 (0.0576) time: 2.8845 data: 0.0051 max mem: 31630 Epoch: [1] [ 260/5278] eta: 4:02:10 lr: 4.8817804255699e-05 loss: 0.2097 (0.2155) loss_seg: 0.2084 (0.2137) loss_lansim: 0.1251 (0.1222) loss_contra: 0.0162 (0.0578) time: 2.8839 data: 0.0051 max mem: 31630 Epoch: [1] [ 270/5278] eta: 4:01:35 lr: 4.8815667086860915e-05 loss: 0.2091 (0.2149) loss_seg: 0.2074 (0.2131) loss_lansim: 0.1266 (0.1226) loss_contra: 0.0162 (0.0578) time: 2.8855 data: 0.0052 max mem: 31630 Epoch: [1] [ 280/5278] eta: 4:01:06 lr: 4.8813529907626556e-05 loss: 0.2091 (0.2148) loss_seg: 0.2074 (0.2130) loss_lansim: 0.1271 (0.1225) loss_contra: 0.0163 (0.0570) time: 2.8852 data: 0.0053 max mem: 31630 Epoch: [1] [ 290/5278] eta: 4:00:34 lr: 4.8811392717995355e-05 loss: 0.2121 (0.2145) loss_seg: 0.2100 (0.2127) loss_lansim: 0.1271 (0.1226) loss_contra: 0.0152 (0.0557) time: 2.8865 data: 0.0053 max mem: 31630 Epoch: [1] [ 300/5278] eta: 4:00:09 lr: 4.880925551796675e-05 loss: 0.2061 (0.2136) loss_seg: 0.2045 (0.2119) loss_lansim: 0.1266 (0.1226) loss_contra: 0.0159 (0.0544) time: 2.8915 data: 0.0052 max mem: 31630 Epoch: [1] [ 310/5278] eta: 3:59:37 lr: 4.88071183075402e-05 loss: 0.2061 (0.2140) loss_seg: 0.2045 (0.2122) loss_lansim: 0.1246 (0.1225) loss_contra: 0.0159 (0.0540) time: 2.8876 data: 0.0053 max mem: 31630 Epoch: [1] [ 320/5278] eta: 3:59:09 lr: 4.8804981086715146e-05 loss: 0.2050 (0.2142) loss_seg: 0.2035 (0.2125) loss_lansim: 0.1262 (0.1231) loss_contra: 0.0159 (0.0540) time: 2.8855 data: 0.0052 max mem: 31630 Epoch: [1] [ 330/5278] eta: 3:58:43 lr: 4.880284385549103e-05 loss: 0.2043 (0.2142) loss_seg: 0.2029 (0.2125) loss_lansim: 0.1266 (0.1232) loss_contra: 0.0171 (0.0532) time: 2.8902 data: 0.0053 max mem: 31630 Epoch: [1] [ 340/5278] eta: 3:58:09 lr: 4.880070661386728e-05 loss: 0.2043 (0.2141) loss_seg: 0.2029 (0.2123) loss_lansim: 0.1262 (0.1230) loss_contra: 0.0140 (0.0522) time: 2.8900 data: 0.0054 max mem: 31630 Epoch: [1] [ 350/5278] eta: 3:57:40 lr: 4.879856936184336e-05 loss: 0.2034 (0.2139) loss_seg: 0.2017 (0.2122) loss_lansim: 0.1253 (0.1229) loss_contra: 0.0136 (0.0528) time: 2.8901 data: 0.0054 max mem: 31630 Epoch: [1] [ 360/5278] eta: 3:57:12 lr: 4.879643209941872e-05 loss: 0.2035 (0.2144) loss_seg: 0.2017 (0.2127) loss_lansim: 0.1222 (0.1226) loss_contra: 0.0127 (0.0539) time: 2.8896 data: 0.0053 max mem: 31630 Epoch: [1] [ 370/5278] eta: 3:56:39 lr: 4.8794294826592767e-05 loss: 0.2034 (0.2145) loss_seg: 0.1996 (0.2127) loss_lansim: 0.1218 (0.1226) loss_contra: 0.0126 (0.0534) time: 2.8891 data: 0.0053 max mem: 31630 Epoch: [1] [ 380/5278] eta: 3:56:09 lr: 4.879215754336498e-05 loss: 0.2044 (0.2153) loss_seg: 0.2029 (0.2135) loss_lansim: 0.1209 (0.1227) loss_contra: 0.0127 (0.0533) time: 2.8888 data: 0.0053 max mem: 31630 Epoch: [1] [ 390/5278] eta: 3:55:40 lr: 4.879002024973478e-05 loss: 0.2035 (0.2149) loss_seg: 0.2017 (0.2131) loss_lansim: 0.1224 (0.1227) loss_contra: 0.0161 (0.0533) time: 2.8905 data: 0.0053 max mem: 31630 Epoch: [1] [ 400/5278] eta: 3:55:07 lr: 4.878788294570163e-05 loss: 0.2059 (0.2148) loss_seg: 0.2045 (0.2130) loss_lansim: 0.1214 (0.1225) loss_contra: 0.0161 (0.0530) time: 2.8847 data: 0.0053 max mem: 31630 Epoch: [1] [ 410/5278] eta: 3:54:41 lr: 4.878574563126495e-05 loss: 0.2055 (0.2148) loss_seg: 0.2044 (0.2131) loss_lansim: 0.1224 (0.1224) loss_contra: 0.0182 (0.0524) time: 2.8883 data: 0.0053 max mem: 31630 Epoch: [1] [ 420/5278] eta: 3:54:11 lr: 4.87836083064242e-05 loss: 0.2048 (0.2143) loss_seg: 0.2034 (0.2126) loss_lansim: 0.1224 (0.1229) loss_contra: 0.0169 (0.0521) time: 2.8866 data: 0.0053 max mem: 31630 Epoch: [1] [ 430/5278] eta: 3:53:37 lr: 4.878147097117882e-05 loss: 0.2048 (0.2149) loss_seg: 0.2034 (0.2131) loss_lansim: 0.1241 (0.1233) loss_contra: 0.0195 (0.0534) time: 2.8801 data: 0.0053 max mem: 31630 Epoch: [1] [ 440/5278] eta: 3:53:08 lr: 4.877933362552824e-05 loss: 0.2059 (0.2160) loss_seg: 0.2045 (0.2141) loss_lansim: 0.1255 (0.1239) loss_contra: 0.0282 (0.0576) time: 2.8835 data: 0.0053 max mem: 31630 Epoch: [1] [ 450/5278] eta: 3:52:39 lr: 4.8777196269471925e-05 loss: 0.2095 (0.2169) loss_seg: 0.2079 (0.2151) loss_lansim: 0.1281 (0.1243) loss_contra: 0.0304 (0.0598) time: 2.8832 data: 0.0053 max mem: 31630 Epoch: [1] [ 460/5278] eta: 3:52:07 lr: 4.8775058903009294e-05 loss: 0.2101 (0.2173) loss_seg: 0.2088 (0.2155) loss_lansim: 0.1291 (0.1245) loss_contra: 0.0384 (0.0605) time: 2.8791 data: 0.0053 max mem: 31630 Epoch: [1] [ 470/5278] eta: 3:51:38 lr: 4.877292152613981e-05 loss: 0.2171 (0.2179) loss_seg: 0.2145 (0.2161) loss_lansim: 0.1316 (0.1250) loss_contra: 0.0404 (0.0607) time: 2.8818 data: 0.0052 max mem: 31630 Epoch: [1] [ 480/5278] eta: 3:51:10 lr: 4.87707841388629e-05 loss: 0.2180 (0.2182) loss_seg: 0.2166 (0.2164) loss_lansim: 0.1316 (0.1250) loss_contra: 0.0423 (0.0612) time: 2.8832 data: 0.0052 max mem: 31630 Epoch: [1] [ 490/5278] eta: 3:50:36 lr: 4.8768646741178025e-05 loss: 0.2188 (0.2181) loss_seg: 0.2168 (0.2162) loss_lansim: 0.1328 (0.1251) loss_contra: 0.0387 (0.0610) time: 2.8778 data: 0.0052 max mem: 31630 Epoch: [1] [ 500/5278] eta: 3:50:01 lr: 4.8766509333084606e-05 loss: 0.2188 (0.2177) loss_seg: 0.2168 (0.2158) loss_lansim: 0.1333 (0.1250) loss_contra: 0.0434 (0.0617) time: 2.8747 data: 0.0052 max mem: 31630 Epoch: [1] [ 510/5278] eta: 3:49:34 lr: 4.8764371914582094e-05 loss: 0.2217 (0.2176) loss_seg: 0.2200 (0.2157) loss_lansim: 0.1328 (0.1247) loss_contra: 0.0453 (0.0610) time: 2.8737 data: 0.0052 max mem: 31630 Epoch: [1] [ 520/5278] eta: 3:49:01 lr: 4.876223448566994e-05 loss: 0.2247 (0.2177) loss_seg: 0.2228 (0.2158) loss_lansim: 0.1309 (0.1247) loss_contra: 0.0539 (0.0619) time: 2.8707 data: 0.0052 max mem: 31630 Epoch: [1] [ 530/5278] eta: 3:48:34 lr: 4.876009704634758e-05 loss: 0.2246 (0.2185) loss_seg: 0.2226 (0.2166) loss_lansim: 0.1284 (0.1247) loss_contra: 0.0589 (0.0622) time: 2.8764 data: 0.0053 max mem: 31630 Epoch: [1] [ 540/5278] eta: 3:48:06 lr: 4.875795959661445e-05 loss: 0.2188 (0.2191) loss_seg: 0.2166 (0.2172) loss_lansim: 0.1298 (0.1251) loss_contra: 0.0378 (0.0615) time: 2.8763 data: 0.0053 max mem: 31630 Epoch: [1] [ 550/5278] eta: 3:47:37 lr: 4.8755822136469996e-05 loss: 0.2160 (0.2192) loss_seg: 0.2136 (0.2173) loss_lansim: 0.1309 (0.1254) loss_contra: 0.0332 (0.0610) time: 2.8767 data: 0.0053 max mem: 31630 Epoch: [1] [ 560/5278] eta: 3:47:04 lr: 4.8753684665913664e-05 loss: 0.2154 (0.2194) loss_seg: 0.2134 (0.2176) loss_lansim: 0.1309 (0.1255) loss_contra: 0.0312 (0.0608) time: 2.8746 data: 0.0053 max mem: 31630 Epoch: [1] [ 570/5278] eta: 3:46:38 lr: 4.87515471849449e-05 loss: 0.2146 (0.2196) loss_seg: 0.2125 (0.2178) loss_lansim: 0.1280 (0.1256) loss_contra: 0.0320 (0.0613) time: 2.8777 data: 0.0053 max mem: 31630 Epoch: [1] [ 580/5278] eta: 3:46:09 lr: 4.874940969356312e-05 loss: 0.2122 (0.2197) loss_seg: 0.2104 (0.2178) loss_lansim: 0.1329 (0.1260) loss_contra: 0.0289 (0.0608) time: 2.8759 data: 0.0053 max mem: 31630 Epoch: [1] [ 590/5278] eta: 3:45:41 lr: 4.874727219176781e-05 loss: 0.2122 (0.2195) loss_seg: 0.2104 (0.2176) loss_lansim: 0.1328 (0.1261) loss_contra: 0.0312 (0.0613) time: 2.8818 data: 0.0053 max mem: 31630 Epoch: [1] [ 600/5278] eta: 3:45:10 lr: 4.874513467955837e-05 loss: 0.2145 (0.2195) loss_seg: 0.2121 (0.2176) loss_lansim: 0.1343 (0.1263) loss_contra: 0.0309 (0.0613) time: 2.8853 data: 0.0052 max mem: 31630 Epoch: [1] [ 610/5278] eta: 3:44:37 lr: 4.874299715693427e-05 loss: 0.2145 (0.2193) loss_seg: 0.2121 (0.2175) loss_lansim: 0.1352 (0.1265) loss_contra: 0.0322 (0.0613) time: 2.8784 data: 0.0053 max mem: 31630 Epoch: [1] [ 620/5278] eta: 3:44:12 lr: 4.874085962389494e-05 loss: 0.2207 (0.2195) loss_seg: 0.2186 (0.2176) loss_lansim: 0.1353 (0.1266) loss_contra: 0.0308 (0.0608) time: 2.8875 data: 0.0052 max mem: 31630 Epoch: [1] [ 630/5278] eta: 3:43:40 lr: 4.8738722080439814e-05 loss: 0.2191 (0.2189) loss_seg: 0.2177 (0.2171) loss_lansim: 0.1348 (0.1264) loss_contra: 0.0289 (0.0607) time: 2.8813 data: 0.0052 max mem: 31630 Epoch: [1] [ 640/5278] eta: 3:43:16 lr: 4.8736584526568345e-05 loss: 0.2191 (0.2188) loss_seg: 0.2177 (0.2169) loss_lansim: 0.1304 (0.1263) loss_contra: 0.0322 (0.0610) time: 2.8870 data: 0.0051 max mem: 31630 Epoch: [1] [ 650/5278] eta: 3:42:44 lr: 4.873444696227998e-05 loss: 0.2198 (0.2186) loss_seg: 0.2181 (0.2168) loss_lansim: 0.1302 (0.1267) loss_contra: 0.0328 (0.0609) time: 2.8825 data: 0.0051 max mem: 31630 Epoch: [1] [ 660/5278] eta: 3:42:15 lr: 4.873230938757415e-05 loss: 0.2207 (0.2186) loss_seg: 0.2186 (0.2167) loss_lansim: 0.1329 (0.1270) loss_contra: 0.0345 (0.0613) time: 2.8871 data: 0.0051 max mem: 31630 Epoch: [1] [ 670/5278] eta: 3:41:44 lr: 4.8730171802450293e-05 loss: 0.2212 (0.2187) loss_seg: 0.2192 (0.2168) loss_lansim: 0.1329 (0.1271) loss_contra: 0.0350 (0.0617) time: 2.8802 data: 0.0051 max mem: 31630 Epoch: [1] [ 680/5278] eta: 3:41:13 lr: 4.872803420690786e-05 loss: 0.2224 (0.2192) loss_seg: 0.2200 (0.2173) loss_lansim: 0.1282 (0.1269) loss_contra: 0.0383 (0.0616) time: 2.8784 data: 0.0051 max mem: 31630 Epoch: [1] [ 690/5278] eta: 3:40:40 lr: 4.872589660094629e-05 loss: 0.2224 (0.2190) loss_seg: 0.2200 (0.2171) loss_lansim: 0.1271 (0.1267) loss_contra: 0.0345 (0.0616) time: 2.8708 data: 0.0051 max mem: 31630 Epoch: [1] [ 700/5278] eta: 3:40:08 lr: 4.8723758984565024e-05 loss: 0.2207 (0.2187) loss_seg: 0.2192 (0.2169) loss_lansim: 0.1263 (0.1267) loss_contra: 0.0385 (0.0626) time: 2.8673 data: 0.0052 max mem: 31630 Epoch: [1] [ 710/5278] eta: 3:39:36 lr: 4.8721621357763503e-05 loss: 0.2193 (0.2187) loss_seg: 0.2180 (0.2169) loss_lansim: 0.1216 (0.1264) loss_contra: 0.0385 (0.0631) time: 2.8687 data: 0.0053 max mem: 31630 Epoch: [1] [ 720/5278] eta: 3:39:04 lr: 4.871948372054117e-05 loss: 0.2104 (0.2187) loss_seg: 0.2080 (0.2168) loss_lansim: 0.1197 (0.1262) loss_contra: 0.0434 (0.0637) time: 2.8574 data: 0.0054 max mem: 31630 Epoch: [1] [ 730/5278] eta: 3:38:30 lr: 4.871734607289746e-05 loss: 0.2116 (0.2185) loss_seg: 0.2096 (0.2166) loss_lansim: 0.1195 (0.1261) loss_contra: 0.0347 (0.0631) time: 2.8527 data: 0.0055 max mem: 31630 Epoch: [1] [ 740/5278] eta: 3:38:02 lr: 4.871520841483182e-05 loss: 0.2116 (0.2185) loss_seg: 0.2096 (0.2166) loss_lansim: 0.1198 (0.1260) loss_contra: 0.0345 (0.0629) time: 2.8474 data: 0.0056 max mem: 31630 Epoch: [1] [ 750/5278] eta: 3:37:28 lr: 4.8713070746343685e-05 loss: 0.2049 (0.2183) loss_seg: 0.2038 (0.2164) loss_lansim: 0.1179 (0.1260) loss_contra: 0.0290 (0.0628) time: 2.8424 data: 0.0057 max mem: 31630 Epoch: [1] [ 760/5278] eta: 3:36:59 lr: 4.871093306743251e-05 loss: 0.2104 (0.2184) loss_seg: 0.2080 (0.2166) loss_lansim: 0.1179 (0.1260) loss_contra: 0.0249 (0.0627) time: 2.8418 data: 0.0058 max mem: 31630 Epoch: [1] [ 770/5278] eta: 3:36:27 lr: 4.8708795378097716e-05 loss: 0.2049 (0.2188) loss_seg: 0.2034 (0.2169) loss_lansim: 0.1160 (0.1257) loss_contra: 0.0246 (0.0625) time: 2.8402 data: 0.0059 max mem: 31630 Epoch: [1] [ 780/5278] eta: 3:35:54 lr: 4.8706657678338755e-05 loss: 0.2049 (0.2190) loss_seg: 0.2034 (0.2171) loss_lansim: 0.1170 (0.1256) loss_contra: 0.0286 (0.0629) time: 2.8335 data: 0.0060 max mem: 31630 Epoch: [1] [ 790/5278] eta: 3:35:25 lr: 4.8704519968155074e-05 loss: 0.2049 (0.2194) loss_seg: 0.2038 (0.2175) loss_lansim: 0.1179 (0.1257) loss_contra: 0.0249 (0.0627) time: 2.8390 data: 0.0060 max mem: 31630 Epoch: [1] [ 800/5278] eta: 3:34:53 lr: 4.8702382247546104e-05 loss: 0.2137 (0.2194) loss_seg: 0.2109 (0.2176) loss_lansim: 0.1178 (0.1256) loss_contra: 0.0233 (0.0628) time: 2.8387 data: 0.0060 max mem: 31630 Epoch: [1] [ 810/5278] eta: 3:34:28 lr: 4.8700244516511284e-05 loss: 0.2212 (0.2204) loss_seg: 0.2197 (0.2185) loss_lansim: 0.1179 (0.1255) loss_contra: 0.0199 (0.0626) time: 2.8480 data: 0.0061 max mem: 31630 Epoch: [1] [ 820/5278] eta: 3:33:57 lr: 4.8698106775050065e-05 loss: 0.2222 (0.2207) loss_seg: 0.2207 (0.2188) loss_lansim: 0.1206 (0.1256) loss_contra: 0.0190 (0.0629) time: 2.8499 data: 0.0061 max mem: 31630 Epoch: [1] [ 830/5278] eta: 3:33:31 lr: 4.8695969023161877e-05 loss: 0.2169 (0.2204) loss_seg: 0.2152 (0.2185) loss_lansim: 0.1208 (0.1255) loss_contra: 0.0215 (0.0638) time: 2.8620 data: 0.0060 max mem: 31630 Epoch: [1] [ 840/5278] eta: 3:33:02 lr: 4.8693831260846164e-05 loss: 0.2162 (0.2201) loss_seg: 0.2148 (0.2182) loss_lansim: 0.1206 (0.1254) loss_contra: 0.0255 (0.0641) time: 2.8601 data: 0.0061 max mem: 31630 Epoch: [1] [ 850/5278] eta: 3:32:32 lr: 4.869169348810237e-05 loss: 0.2218 (0.2203) loss_seg: 0.2206 (0.2184) loss_lansim: 0.1199 (0.1254) loss_contra: 0.0255 (0.0637) time: 2.8666 data: 0.0061 max mem: 31630 Epoch: [1] [ 860/5278] eta: 3:32:04 lr: 4.8689555704929935e-05 loss: 0.2162 (0.2200) loss_seg: 0.2148 (0.2181) loss_lansim: 0.1204 (0.1255) loss_contra: 0.0351 (0.0644) time: 2.8675 data: 0.0060 max mem: 31630 Epoch: [1] [ 870/5278] eta: 3:31:34 lr: 4.8687417911328295e-05 loss: 0.2169 (0.2201) loss_seg: 0.2152 (0.2182) loss_lansim: 0.1213 (0.1254) loss_contra: 0.0255 (0.0651) time: 2.8700 data: 0.0061 max mem: 31630 Epoch: [1] [ 880/5278] eta: 3:31:04 lr: 4.8685280107296894e-05 loss: 0.2169 (0.2206) loss_seg: 0.2152 (0.2186) loss_lansim: 0.1230 (0.1256) loss_contra: 0.0281 (0.0655) time: 2.8768 data: 0.0060 max mem: 31630 Epoch: [1] [ 890/5278] eta: 3:30:36 lr: 4.868314229283516e-05 loss: 0.2128 (0.2205) loss_seg: 0.2113 (0.2186) loss_lansim: 0.1238 (0.1257) loss_contra: 0.0281 (0.0655) time: 2.8783 data: 0.0061 max mem: 31630 Epoch: [1] [ 900/5278] eta: 3:30:07 lr: 4.868100446794256e-05 loss: 0.2084 (0.2203) loss_seg: 0.2058 (0.2184) loss_lansim: 0.1238 (0.1258) loss_contra: 0.0244 (0.0652) time: 2.8836 data: 0.0061 max mem: 31630 Epoch: [1] [ 910/5278] eta: 3:29:40 lr: 4.8678866632618516e-05 loss: 0.2023 (0.2203) loss_seg: 0.2004 (0.2184) loss_lansim: 0.1251 (0.1258) loss_contra: 0.0263 (0.0652) time: 2.8812 data: 0.0060 max mem: 31630 Epoch: [1] [ 920/5278] eta: 3:29:09 lr: 4.867672878686246e-05 loss: 0.2023 (0.2202) loss_seg: 0.2004 (0.2183) loss_lansim: 0.1238 (0.1257) loss_contra: 0.0262 (0.0650) time: 2.8802 data: 0.0060 max mem: 31630 Epoch: [1] [ 930/5278] eta: 3:28:42 lr: 4.8674590930673855e-05 loss: 0.2100 (0.2208) loss_seg: 0.2070 (0.2189) loss_lansim: 0.1245 (0.1256) loss_contra: 0.0223 (0.0645) time: 2.8801 data: 0.0060 max mem: 31630 Epoch: [1] [ 940/5278] eta: 3:28:13 lr: 4.867245306405212e-05 loss: 0.2131 (0.2209) loss_seg: 0.2113 (0.2190) loss_lansim: 0.1278 (0.1259) loss_contra: 0.0167 (0.0650) time: 2.8786 data: 0.0060 max mem: 31630 Epoch: [1] [ 950/5278] eta: 3:27:44 lr: 4.867031518699671e-05 loss: 0.2100 (0.2207) loss_seg: 0.2081 (0.2188) loss_lansim: 0.1310 (0.1263) loss_contra: 0.0155 (0.0646) time: 2.8803 data: 0.0059 max mem: 31630 Epoch: [1] [ 960/5278] eta: 3:27:15 lr: 4.866817729950705e-05 loss: 0.2140 (0.2208) loss_seg: 0.2127 (0.2189) loss_lansim: 0.1360 (0.1274) loss_contra: 0.0155 (0.0644) time: 2.8787 data: 0.0059 max mem: 31630 Epoch: [1] [ 970/5278] eta: 3:26:48 lr: 4.8666039401582594e-05 loss: 0.2162 (0.2210) loss_seg: 0.2143 (0.2191) loss_lansim: 0.1417 (0.1280) loss_contra: 0.0148 (0.0641) time: 2.8844 data: 0.0058 max mem: 31630 Epoch: [1] [ 980/5278] eta: 3:26:18 lr: 4.866390149322277e-05 loss: 0.2203 (0.2216) loss_seg: 0.2190 (0.2197) loss_lansim: 0.1482 (0.1283) loss_contra: 0.0136 (0.0637) time: 2.8835 data: 0.0058 max mem: 31630 Epoch: [1] [ 990/5278] eta: 3:25:48 lr: 4.866176357442703e-05 loss: 0.2203 (0.2215) loss_seg: 0.2190 (0.2196) loss_lansim: 0.1537 (0.1287) loss_contra: 0.0139 (0.0634) time: 2.8800 data: 0.0058 max mem: 31630 Epoch: [1] [1000/5278] eta: 3:25:20 lr: 4.86596256451948e-05 loss: 0.2256 (0.2218) loss_seg: 0.2238 (0.2199) loss_lansim: 0.1576 (0.1291) loss_contra: 0.0146 (0.0633) time: 2.8804 data: 0.0058 max mem: 31630 Epoch: [1] [1010/5278] eta: 3:24:50 lr: 4.8657487705525527e-05 loss: 0.2237 (0.2218) loss_seg: 0.2220 (0.2198) loss_lansim: 0.1592 (0.1293) loss_contra: 0.0157 (0.0635) time: 2.8743 data: 0.0058 max mem: 31630 Epoch: [1] [1020/5278] eta: 3:24:21 lr: 4.865534975541865e-05 loss: 0.2245 (0.2217) loss_seg: 0.2220 (0.2198) loss_lansim: 0.1625 (0.1294) loss_contra: 0.0159 (0.0635) time: 2.8777 data: 0.0057 max mem: 31630 Epoch: [1] [1030/5278] eta: 3:23:53 lr: 4.8653211794873614e-05 loss: 0.2170 (0.2216) loss_seg: 0.2144 (0.2197) loss_lansim: 0.1625 (0.1295) loss_contra: 0.0174 (0.0634) time: 2.8768 data: 0.0057 max mem: 31630 Epoch: [1] [1040/5278] eta: 3:23:23 lr: 4.865107382388985e-05 loss: 0.2137 (0.2214) loss_seg: 0.2120 (0.2195) loss_lansim: 0.1576 (0.1294) loss_contra: 0.0215 (0.0636) time: 2.8759 data: 0.0057 max mem: 31630 Epoch: [1] [1050/5278] eta: 3:22:56 lr: 4.86489358424668e-05 loss: 0.2169 (0.2216) loss_seg: 0.2143 (0.2197) loss_lansim: 0.1524 (0.1294) loss_contra: 0.0219 (0.0638) time: 2.8796 data: 0.0058 max mem: 31630 Epoch: [1] [1060/5278] eta: 3:22:28 lr: 4.86467978506039e-05 loss: 0.2128 (0.2216) loss_seg: 0.2111 (0.2197) loss_lansim: 0.1524 (0.1300) loss_contra: 0.0203 (0.0634) time: 2.8823 data: 0.0058 max mem: 31630 Epoch: [1] [1070/5278] eta: 3:21:59 lr: 4.8644659848300596e-05 loss: 0.2123 (0.2217) loss_seg: 0.2103 (0.2197) loss_lansim: 0.1514 (0.1303) loss_contra: 0.0203 (0.0637) time: 2.8783 data: 0.0058 max mem: 31630 Epoch: [1] [1080/5278] eta: 3:21:31 lr: 4.864252183555632e-05 loss: 0.2111 (0.2216) loss_seg: 0.2080 (0.2196) loss_lansim: 0.1498 (0.1305) loss_contra: 0.0258 (0.0637) time: 2.8835 data: 0.0058 max mem: 31630 Epoch: [1] [1090/5278] eta: 3:21:02 lr: 4.864038381237052e-05 loss: 0.2111 (0.2215) loss_seg: 0.2095 (0.2196) loss_lansim: 0.1474 (0.1306) loss_contra: 0.0296 (0.0646) time: 2.8845 data: 0.0058 max mem: 31630 Epoch: [1] [1100/5278] eta: 3:20:33 lr: 4.8638245778742625e-05 loss: 0.2095 (0.2219) loss_seg: 0.2075 (0.2199) loss_lansim: 0.1438 (0.1307) loss_contra: 0.0326 (0.0650) time: 2.8824 data: 0.0058 max mem: 31630 Epoch: [1] [1110/5278] eta: 3:20:04 lr: 4.863610773467208e-05 loss: 0.2170 (0.2222) loss_seg: 0.2144 (0.2202) loss_lansim: 0.1479 (0.1312) loss_contra: 0.0316 (0.0653) time: 2.8842 data: 0.0058 max mem: 31630 Epoch: [1] [1120/5278] eta: 3:19:33 lr: 4.8633969680158326e-05 loss: 0.2155 (0.2221) loss_seg: 0.2120 (0.2201) loss_lansim: 0.1516 (0.1315) loss_contra: 0.0367 (0.0656) time: 2.8818 data: 0.0059 max mem: 31630 Epoch: [1] [1130/5278] eta: 3:19:05 lr: 4.86318316152008e-05 loss: 0.2180 (0.2220) loss_seg: 0.2119 (0.2201) loss_lansim: 0.1518 (0.1317) loss_contra: 0.0426 (0.0665) time: 2.8792 data: 0.0059 max mem: 31630 Epoch: [1] [1140/5278] eta: 3:18:35 lr: 4.862969353979893e-05 loss: 0.2155 (0.2217) loss_seg: 0.2116 (0.2197) loss_lansim: 0.1528 (0.1317) loss_contra: 0.0466 (0.0668) time: 2.8776 data: 0.0059 max mem: 31630 Epoch: [1] [1150/5278] eta: 3:18:06 lr: 4.8627555453952175e-05 loss: 0.2162 (0.2218) loss_seg: 0.2118 (0.2198) loss_lansim: 0.1531 (0.1318) loss_contra: 0.0521 (0.0669) time: 2.8751 data: 0.0059 max mem: 31630 Epoch: [1] [1160/5278] eta: 3:17:37 lr: 4.862541735765995e-05 loss: 0.2192 (0.2221) loss_seg: 0.2160 (0.2201) loss_lansim: 0.1499 (0.1319) loss_contra: 0.0561 (0.0668) time: 2.8723 data: 0.0060 max mem: 31630 Epoch: [1] [1170/5278] eta: 3:17:08 lr: 4.8623279250921715e-05 loss: 0.2192 (0.2222) loss_seg: 0.2148 (0.2202) loss_lansim: 0.1481 (0.1321) loss_contra: 0.0552 (0.0668) time: 2.8704 data: 0.0060 max mem: 31630 Epoch: [1] [1180/5278] eta: 3:16:39 lr: 4.86211411337369e-05 loss: 0.2155 (0.2221) loss_seg: 0.2116 (0.2201) loss_lansim: 0.1479 (0.1322) loss_contra: 0.0561 (0.0668) time: 2.8685 data: 0.0061 max mem: 31630 Epoch: [1] [1190/5278] eta: 3:16:10 lr: 4.8619003006104944e-05 loss: 0.2162 (0.2221) loss_seg: 0.2118 (0.2201) loss_lansim: 0.1458 (0.1321) loss_contra: 0.0521 (0.0666) time: 2.8676 data: 0.0062 max mem: 31630 Epoch: [1] [1200/5278] eta: 3:15:42 lr: 4.8616864868025283e-05 loss: 0.2162 (0.2222) loss_seg: 0.2118 (0.2203) loss_lansim: 0.1448 (0.1321) loss_contra: 0.0506 (0.0668) time: 2.8718 data: 0.0062 max mem: 31630 Epoch: [1] [1210/5278] eta: 3:15:12 lr: 4.861472671949736e-05 loss: 0.2204 (0.2226) loss_seg: 0.2173 (0.2206) loss_lansim: 0.1389 (0.1319) loss_contra: 0.0521 (0.0672) time: 2.8683 data: 0.0062 max mem: 31630 Epoch: [1] [1220/5278] eta: 3:14:42 lr: 4.861258856052061e-05 loss: 0.2208 (0.2228) loss_seg: 0.2192 (0.2208) loss_lansim: 0.1342 (0.1317) loss_contra: 0.0424 (0.0671) time: 2.8697 data: 0.0061 max mem: 31630 Epoch: [1] [1230/5278] eta: 3:14:14 lr: 4.861045039109447e-05 loss: 0.2218 (0.2226) loss_seg: 0.2208 (0.2206) loss_lansim: 0.1283 (0.1314) loss_contra: 0.0353 (0.0671) time: 2.8703 data: 0.0061 max mem: 31630 Epoch: [1] [1240/5278] eta: 3:13:44 lr: 4.8608312211218385e-05 loss: 0.2231 (0.2225) loss_seg: 0.2218 (0.2205) loss_lansim: 0.1224 (0.1313) loss_contra: 0.0291 (0.0671) time: 2.8716 data: 0.0060 max mem: 31630 Epoch: [1] [1250/5278] eta: 3:13:15 lr: 4.860617402089178e-05 loss: 0.2204 (0.2224) loss_seg: 0.2175 (0.2204) loss_lansim: 0.1181 (0.1310) loss_contra: 0.0291 (0.0672) time: 2.8698 data: 0.0060 max mem: 31630 Epoch: [1] [1260/5278] eta: 3:12:46 lr: 4.8604035820114105e-05 loss: 0.2194 (0.2222) loss_seg: 0.2174 (0.2203) loss_lansim: 0.1128 (0.1308) loss_contra: 0.0291 (0.0671) time: 2.8703 data: 0.0059 max mem: 31630 Epoch: [1] [1270/5278] eta: 3:12:17 lr: 4.86018976088848e-05 loss: 0.2179 (0.2220) loss_seg: 0.2145 (0.2200) loss_lansim: 0.1090 (0.1306) loss_contra: 0.0288 (0.0672) time: 2.8712 data: 0.0058 max mem: 31630 Epoch: [1] [1280/5278] eta: 3:11:48 lr: 4.85997593872033e-05 loss: 0.2179 (0.2220) loss_seg: 0.2158 (0.2200) loss_lansim: 0.1081 (0.1304) loss_contra: 0.0266 (0.0669) time: 2.8692 data: 0.0058 max mem: 31630 Epoch: [1] [1290/5278] eta: 3:11:20 lr: 4.8597621155069027e-05 loss: 0.2179 (0.2219) loss_seg: 0.2145 (0.2199) loss_lansim: 0.1068 (0.1303) loss_contra: 0.0242 (0.0668) time: 2.8725 data: 0.0057 max mem: 31630 Epoch: [1] [1300/5278] eta: 3:10:51 lr: 4.8595482912481445e-05 loss: 0.2114 (0.2216) loss_seg: 0.2101 (0.2197) loss_lansim: 0.1060 (0.1301) loss_contra: 0.0209 (0.0668) time: 2.8702 data: 0.0057 max mem: 31630 Epoch: [1] [1310/5278] eta: 3:10:22 lr: 4.859334465943997e-05 loss: 0.1982 (0.2216) loss_seg: 0.1969 (0.2197) loss_lansim: 0.1048 (0.1299) loss_contra: 0.0202 (0.0671) time: 2.8734 data: 0.0057 max mem: 31630 Epoch: [1] [1320/5278] eta: 3:09:53 lr: 4.859120639594405e-05 loss: 0.1969 (0.2217) loss_seg: 0.1952 (0.2197) loss_lansim: 0.1048 (0.1297) loss_contra: 0.0171 (0.0668) time: 2.8753 data: 0.0057 max mem: 31630 Epoch: [1] [1330/5278] eta: 3:09:24 lr: 4.858906812199313e-05 loss: 0.1973 (0.2216) loss_seg: 0.1960 (0.2197) loss_lansim: 0.1050 (0.1295) loss_contra: 0.0160 (0.0665) time: 2.8728 data: 0.0058 max mem: 31630 Epoch: [1] [1340/5278] eta: 3:08:56 lr: 4.858692983758664e-05 loss: 0.1982 (0.2217) loss_seg: 0.1969 (0.2197) loss_lansim: 0.1050 (0.1294) loss_contra: 0.0144 (0.0661) time: 2.8794 data: 0.0058 max mem: 31630 Epoch: [1] [1350/5278] eta: 3:08:27 lr: 4.8584791542724006e-05 loss: 0.1974 (0.2216) loss_seg: 0.1963 (0.2197) loss_lansim: 0.1058 (0.1292) loss_contra: 0.0119 (0.0658) time: 2.8778 data: 0.0058 max mem: 31630 Epoch: [1] [1360/5278] eta: 3:08:00 lr: 4.858265323740468e-05 loss: 0.2028 (0.2218) loss_seg: 0.2003 (0.2198) loss_lansim: 0.1069 (0.1291) loss_contra: 0.0144 (0.0660) time: 2.8853 data: 0.0058 max mem: 31630 Epoch: [1] [1370/5278] eta: 3:07:31 lr: 4.858051492162811e-05 loss: 0.2071 (0.2217) loss_seg: 0.2048 (0.2198) loss_lansim: 0.1081 (0.1290) loss_contra: 0.0144 (0.0661) time: 2.8835 data: 0.0058 max mem: 31630 Epoch: [1] [1380/5278] eta: 3:07:03 lr: 4.85783765953937e-05 loss: 0.2005 (0.2217) loss_seg: 0.1994 (0.2197) loss_lansim: 0.1070 (0.1288) loss_contra: 0.0123 (0.0659) time: 2.8868 data: 0.0058 max mem: 31630 Epoch: [1] [1390/5278] eta: 3:06:34 lr: 4.857623825870092e-05 loss: 0.2042 (0.2217) loss_seg: 0.2013 (0.2198) loss_lansim: 0.1055 (0.1286) loss_contra: 0.0160 (0.0661) time: 2.8856 data: 0.0058 max mem: 31630 Epoch: [1] [1400/5278] eta: 3:06:06 lr: 4.857409991154918e-05 loss: 0.2057 (0.2217) loss_seg: 0.2047 (0.2198) loss_lansim: 0.1058 (0.1285) loss_contra: 0.0116 (0.0659) time: 2.8885 data: 0.0058 max mem: 31630 Epoch: [1] [1410/5278] eta: 3:05:38 lr: 4.857196155393795e-05 loss: 0.2028 (0.2216) loss_seg: 0.2003 (0.2197) loss_lansim: 0.1069 (0.1284) loss_contra: 0.0107 (0.0659) time: 2.8914 data: 0.0058 max mem: 31630 Epoch: [1] [1420/5278] eta: 3:05:09 lr: 4.8569823185866635e-05 loss: 0.2028 (0.2217) loss_seg: 0.2000 (0.2197) loss_lansim: 0.1081 (0.1283) loss_contra: 0.0116 (0.0657) time: 2.8914 data: 0.0059 max mem: 31630 Epoch: [1] [1430/5278] eta: 3:04:40 lr: 4.856768480733469e-05 loss: 0.1975 (0.2215) loss_seg: 0.1963 (0.2196) loss_lansim: 0.1094 (0.1282) loss_contra: 0.0184 (0.0655) time: 2.8917 data: 0.0058 max mem: 31630 Epoch: [1] [1440/5278] eta: 3:04:10 lr: 4.856554641834155e-05 loss: 0.1975 (0.2216) loss_seg: 0.1963 (0.2196) loss_lansim: 0.1094 (0.1281) loss_contra: 0.0178 (0.0652) time: 2.8856 data: 0.0058 max mem: 31630 Epoch: [1] [1450/5278] eta: 3:03:42 lr: 4.856340801888665e-05 loss: 0.2027 (0.2215) loss_seg: 0.2000 (0.2195) loss_lansim: 0.1096 (0.1280) loss_contra: 0.0194 (0.0652) time: 2.8897 data: 0.0058 max mem: 31630 Epoch: [1] [1460/5278] eta: 3:03:13 lr: 4.8561269608969425e-05 loss: 0.2027 (0.2217) loss_seg: 0.2017 (0.2198) loss_lansim: 0.1099 (0.1280) loss_contra: 0.0167 (0.0649) time: 2.8801 data: 0.0058 max mem: 31630 Epoch: [1] [1470/5278] eta: 3:02:45 lr: 4.8559131188589316e-05 loss: 0.2005 (0.2217) loss_seg: 0.1990 (0.2198) loss_lansim: 0.1077 (0.1278) loss_contra: 0.0168 (0.0648) time: 2.8872 data: 0.0058 max mem: 31630 Epoch: [1] [1480/5278] eta: 3:02:16 lr: 4.855699275774575e-05 loss: 0.2068 (0.2218) loss_seg: 0.2056 (0.2198) loss_lansim: 0.1077 (0.1276) loss_contra: 0.0179 (0.0646) time: 2.8849 data: 0.0058 max mem: 31630 Epoch: [1] [1490/5278] eta: 3:01:47 lr: 4.855485431643818e-05 loss: 0.2120 (0.2218) loss_seg: 0.2107 (0.2199) loss_lansim: 0.1096 (0.1276) loss_contra: 0.0178 (0.0644) time: 2.8841 data: 0.0058 max mem: 31630 Epoch: [1] [1500/5278] eta: 3:01:18 lr: 4.855271586466603e-05 loss: 0.2120 (0.2218) loss_seg: 0.2107 (0.2199) loss_lansim: 0.1098 (0.1275) loss_contra: 0.0178 (0.0641) time: 2.8803 data: 0.0058 max mem: 31630 Epoch: [1] [1510/5278] eta: 3:00:49 lr: 4.855057740242874e-05 loss: 0.2120 (0.2217) loss_seg: 0.2107 (0.2198) loss_lansim: 0.1093 (0.1273) loss_contra: 0.0168 (0.0639) time: 2.8760 data: 0.0057 max mem: 31630 Epoch: [1] [1520/5278] eta: 3:00:19 lr: 4.8548438929725746e-05 loss: 0.2120 (0.2219) loss_seg: 0.2107 (0.2200) loss_lansim: 0.1087 (0.1272) loss_contra: 0.0134 (0.0636) time: 2.8736 data: 0.0057 max mem: 31630 Epoch: [1] [1530/5278] eta: 2:59:50 lr: 4.8546300446556495e-05 loss: 0.2124 (0.2218) loss_seg: 0.2113 (0.2199) loss_lansim: 0.1095 (0.1272) loss_contra: 0.0123 (0.0634) time: 2.8732 data: 0.0057 max mem: 31630 Epoch: [1] [1540/5278] eta: 2:59:22 lr: 4.854416195292041e-05 loss: 0.2120 (0.2217) loss_seg: 0.2107 (0.2198) loss_lansim: 0.1095 (0.1270) loss_contra: 0.0123 (0.0631) time: 2.8766 data: 0.0057 max mem: 31630 Epoch: [1] [1550/5278] eta: 2:58:53 lr: 4.8542023448816934e-05 loss: 0.2077 (0.2215) loss_seg: 0.2064 (0.2196) loss_lansim: 0.1095 (0.1269) loss_contra: 0.0114 (0.0628) time: 2.8737 data: 0.0056 max mem: 31630 Epoch: [1] [1560/5278] eta: 2:58:24 lr: 4.8539884934245495e-05 loss: 0.2077 (0.2216) loss_seg: 0.2064 (0.2197) loss_lansim: 0.1093 (0.1268) loss_contra: 0.0116 (0.0627) time: 2.8753 data: 0.0057 max mem: 31630 Epoch: [1] [1570/5278] eta: 2:57:54 lr: 4.853774640920554e-05 loss: 0.2060 (0.2217) loss_seg: 0.2048 (0.2198) loss_lansim: 0.1095 (0.1266) loss_contra: 0.0111 (0.0627) time: 2.8674 data: 0.0056 max mem: 31630 Epoch: [1] [1580/5278] eta: 2:57:26 lr: 4.8535607873696497e-05 loss: 0.2051 (0.2216) loss_seg: 0.2038 (0.2197) loss_lansim: 0.1095 (0.1266) loss_contra: 0.0095 (0.0625) time: 2.8725 data: 0.0056 max mem: 31630 Epoch: [1] [1590/5278] eta: 2:56:57 lr: 4.853346932771781e-05 loss: 0.2051 (0.2215) loss_seg: 0.2034 (0.2196) loss_lansim: 0.1085 (0.1265) loss_contra: 0.0092 (0.0623) time: 2.8721 data: 0.0056 max mem: 31630 Epoch: [1] [1600/5278] eta: 2:56:28 lr: 4.853133077126891e-05 loss: 0.2051 (0.2214) loss_seg: 0.2034 (0.2195) loss_lansim: 0.1083 (0.1264) loss_contra: 0.0092 (0.0620) time: 2.8710 data: 0.0056 max mem: 31630 Epoch: [1] [1610/5278] eta: 2:55:59 lr: 4.852919220434924e-05 loss: 0.2042 (0.2213) loss_seg: 0.2033 (0.2194) loss_lansim: 0.1082 (0.1262) loss_contra: 0.0092 (0.0619) time: 2.8718 data: 0.0056 max mem: 31630 Epoch: [1] [1620/5278] eta: 2:55:29 lr: 4.852705362695822e-05 loss: 0.2071 (0.2215) loss_seg: 0.2048 (0.2196) loss_lansim: 0.1085 (0.1262) loss_contra: 0.0129 (0.0617) time: 2.8686 data: 0.0056 max mem: 31630 Epoch: [1] [1630/5278] eta: 2:55:01 lr: 4.8524915039095295e-05 loss: 0.2073 (0.2214) loss_seg: 0.2056 (0.2195) loss_lansim: 0.1076 (0.1261) loss_contra: 0.0092 (0.0618) time: 2.8738 data: 0.0056 max mem: 31630 Epoch: [1] [1640/5278] eta: 2:54:32 lr: 4.8522776440759906e-05 loss: 0.2052 (0.2213) loss_seg: 0.2034 (0.2194) loss_lansim: 0.1082 (0.1261) loss_contra: 0.0129 (0.0618) time: 2.8709 data: 0.0055 max mem: 31630 Epoch: [1] [1650/5278] eta: 2:54:02 lr: 4.85206378319515e-05 loss: 0.2052 (0.2212) loss_seg: 0.2007 (0.2193) loss_lansim: 0.1096 (0.1261) loss_contra: 0.0131 (0.0617) time: 2.8690 data: 0.0056 max mem: 31630 Epoch: [1] [1660/5278] eta: 2:53:33 lr: 4.8518499212669485e-05 loss: 0.1996 (0.2210) loss_seg: 0.1986 (0.2191) loss_lansim: 0.1103 (0.1260) loss_contra: 0.0135 (0.0615) time: 2.8680 data: 0.0056 max mem: 31630 Epoch: [1] [1670/5278] eta: 2:53:04 lr: 4.851636058291331e-05 loss: 0.2011 (0.2209) loss_seg: 0.1996 (0.2190) loss_lansim: 0.1117 (0.1259) loss_contra: 0.0135 (0.0615) time: 2.8711 data: 0.0057 max mem: 31630 Epoch: [1] [1680/5278] eta: 2:52:35 lr: 4.851422194268241e-05 loss: 0.2015 (0.2208) loss_seg: 0.2002 (0.2189) loss_lansim: 0.1117 (0.1259) loss_contra: 0.0135 (0.0614) time: 2.8635 data: 0.0056 max mem: 31630 Epoch: [1] [1690/5278] eta: 2:52:07 lr: 4.851208329197622e-05 loss: 0.2015 (0.2207) loss_seg: 0.2002 (0.2189) loss_lansim: 0.1118 (0.1257) loss_contra: 0.0137 (0.0612) time: 2.8652 data: 0.0056 max mem: 31630 Epoch: [1] [1700/5278] eta: 2:51:37 lr: 4.850994463079418e-05 loss: 0.2011 (0.2206) loss_seg: 0.1996 (0.2187) loss_lansim: 0.1139 (0.1257) loss_contra: 0.0139 (0.0610) time: 2.8647 data: 0.0056 max mem: 31630 Epoch: [1] [1710/5278] eta: 2:51:09 lr: 4.8507805959135715e-05 loss: 0.2014 (0.2205) loss_seg: 0.1999 (0.2187) loss_lansim: 0.1136 (0.1256) loss_contra: 0.0139 (0.0607) time: 2.8659 data: 0.0056 max mem: 31630 Epoch: [1] [1720/5278] eta: 2:50:40 lr: 4.850566727700028e-05 loss: 0.2011 (0.2206) loss_seg: 0.1996 (0.2187) loss_lansim: 0.1136 (0.1256) loss_contra: 0.0131 (0.0606) time: 2.8738 data: 0.0056 max mem: 31630 Epoch: [1] [1730/5278] eta: 2:50:11 lr: 4.8503528584387286e-05 loss: 0.2014 (0.2206) loss_seg: 0.1999 (0.2188) loss_lansim: 0.1142 (0.1256) loss_contra: 0.0131 (0.0603) time: 2.8701 data: 0.0055 max mem: 31630 Epoch: [1] [1740/5278] eta: 2:49:43 lr: 4.850138988129619e-05 loss: 0.2041 (0.2207) loss_seg: 0.2021 (0.2189) loss_lansim: 0.1156 (0.1255) loss_contra: 0.0126 (0.0602) time: 2.8713 data: 0.0055 max mem: 31630 Epoch: [1] [1750/5278] eta: 2:49:14 lr: 4.849925116772641e-05 loss: 0.2041 (0.2206) loss_seg: 0.2021 (0.2188) loss_lansim: 0.1142 (0.1255) loss_contra: 0.0116 (0.0600) time: 2.8772 data: 0.0054 max mem: 31630 Epoch: [1] [1760/5278] eta: 2:48:45 lr: 4.849711244367739e-05 loss: 0.2052 (0.2205) loss_seg: 0.2042 (0.2186) loss_lansim: 0.1139 (0.1254) loss_contra: 0.0098 (0.0597) time: 2.8758 data: 0.0055 max mem: 31630 Epoch: [1] [1770/5278] eta: 2:48:17 lr: 4.849497370914857e-05 loss: 0.2035 (0.2203) loss_seg: 0.2021 (0.2185) loss_lansim: 0.1129 (0.1253) loss_contra: 0.0093 (0.0597) time: 2.8825 data: 0.0054 max mem: 31630 Epoch: [1] [1780/5278] eta: 2:47:48 lr: 4.849283496413937e-05 loss: 0.2016 (0.2202) loss_seg: 0.2001 (0.2183) loss_lansim: 0.1118 (0.1252) loss_contra: 0.0093 (0.0597) time: 2.8808 data: 0.0054 max mem: 31630 Epoch: [1] [1790/5278] eta: 2:47:19 lr: 4.849069620864924e-05 loss: 0.2028 (0.2201) loss_seg: 0.2020 (0.2183) loss_lansim: 0.1121 (0.1251) loss_contra: 0.0067 (0.0594) time: 2.8785 data: 0.0054 max mem: 31630 Epoch: [1] [1800/5278] eta: 2:46:50 lr: 4.848855744267761e-05 loss: 0.2073 (0.2204) loss_seg: 0.2061 (0.2185) loss_lansim: 0.1116 (0.1251) loss_contra: 0.0073 (0.0592) time: 2.8812 data: 0.0054 max mem: 31630 Epoch: [1] [1810/5278] eta: 2:46:21 lr: 4.848641866622391e-05 loss: 0.2052 (0.2202) loss_seg: 0.2042 (0.2184) loss_lansim: 0.1108 (0.1250) loss_contra: 0.0068 (0.0590) time: 2.8796 data: 0.0054 max mem: 31630 Epoch: [1] [1820/5278] eta: 2:45:54 lr: 4.8484279879287584e-05 loss: 0.2016 (0.2202) loss_seg: 0.2001 (0.2184) loss_lansim: 0.1092 (0.1248) loss_contra: 0.0077 (0.0588) time: 2.8838 data: 0.0055 max mem: 31630 Epoch: [1] [1830/5278] eta: 2:45:24 lr: 4.848214108186806e-05 loss: 0.1970 (0.2203) loss_seg: 0.1953 (0.2185) loss_lansim: 0.1077 (0.1247) loss_contra: 0.0080 (0.0589) time: 2.8797 data: 0.0055 max mem: 31630 Epoch: [1] [1840/5278] eta: 2:44:56 lr: 4.848000227396477e-05 loss: 0.1973 (0.2203) loss_seg: 0.1962 (0.2185) loss_lansim: 0.1051 (0.1246) loss_contra: 0.0080 (0.0589) time: 2.8846 data: 0.0055 max mem: 31630 Epoch: [1] [1850/5278] eta: 2:44:27 lr: 4.8477863455577156e-05 loss: 0.1986 (0.2201) loss_seg: 0.1963 (0.2183) loss_lansim: 0.1049 (0.1245) loss_contra: 0.0101 (0.0588) time: 2.8802 data: 0.0055 max mem: 31630 Epoch: [1] [1860/5278] eta: 2:43:58 lr: 4.8475724626704654e-05 loss: 0.1991 (0.2202) loss_seg: 0.1977 (0.2183) loss_lansim: 0.1037 (0.1244) loss_contra: 0.0113 (0.0586) time: 2.8818 data: 0.0055 max mem: 31630 Epoch: [1] [1870/5278] eta: 2:43:29 lr: 4.847358578734669e-05 loss: 0.2028 (0.2202) loss_seg: 0.2018 (0.2184) loss_lansim: 0.1037 (0.1242) loss_contra: 0.0113 (0.0584) time: 2.8738 data: 0.0055 max mem: 31630 Epoch: [1] [1880/5278] eta: 2:43:01 lr: 4.8471446937502704e-05 loss: 0.2037 (0.2202) loss_seg: 0.2025 (0.2184) loss_lansim: 0.1047 (0.1241) loss_contra: 0.0128 (0.0585) time: 2.8808 data: 0.0055 max mem: 31630 Epoch: [1] [1890/5278] eta: 2:42:31 lr: 4.846930807717213e-05 loss: 0.2008 (0.2201) loss_seg: 0.1998 (0.2183) loss_lansim: 0.1047 (0.1240) loss_contra: 0.0138 (0.0584) time: 2.8788 data: 0.0055 max mem: 31630 Epoch: [1] [1900/5278] eta: 2:42:02 lr: 4.84671692063544e-05 loss: 0.1999 (0.2201) loss_seg: 0.1986 (0.2182) loss_lansim: 0.1047 (0.1239) loss_contra: 0.0144 (0.0583) time: 2.8757 data: 0.0055 max mem: 31630 Epoch: [1] [1910/5278] eta: 2:41:34 lr: 4.8465030325048954e-05 loss: 0.2037 (0.2201) loss_seg: 0.2025 (0.2183) loss_lansim: 0.1042 (0.1238) loss_contra: 0.0167 (0.0584) time: 2.8800 data: 0.0055 max mem: 31630 Epoch: [1] [1920/5278] eta: 2:41:04 lr: 4.846289143325522e-05 loss: 0.2083 (0.2201) loss_seg: 0.2067 (0.2182) loss_lansim: 0.1048 (0.1237) loss_contra: 0.0191 (0.0585) time: 2.8682 data: 0.0055 max mem: 31630 Epoch: [1] [1930/5278] eta: 2:40:35 lr: 4.846075253097263e-05 loss: 0.2079 (0.2201) loss_seg: 0.2061 (0.2183) loss_lansim: 0.1042 (0.1236) loss_contra: 0.0200 (0.0584) time: 2.8703 data: 0.0055 max mem: 31630 Epoch: [1] [1940/5278] eta: 2:40:06 lr: 4.845861361820063e-05 loss: 0.2079 (0.2200) loss_seg: 0.2061 (0.2182) loss_lansim: 0.1045 (0.1235) loss_contra: 0.0195 (0.0585) time: 2.8651 data: 0.0055 max mem: 31630 Epoch: [1] [1950/5278] eta: 2:39:37 lr: 4.845647469493865e-05 loss: 0.2164 (0.2201) loss_seg: 0.2148 (0.2183) loss_lansim: 0.1053 (0.1235) loss_contra: 0.0191 (0.0587) time: 2.8656 data: 0.0055 max mem: 31630 Epoch: [1] [1960/5278] eta: 2:39:08 lr: 4.8454335761186114e-05 loss: 0.2113 (0.2200) loss_seg: 0.2102 (0.2182) loss_lansim: 0.1055 (0.1234) loss_contra: 0.0245 (0.0587) time: 2.8689 data: 0.0055 max mem: 31630 Epoch: [1] [1970/5278] eta: 2:38:40 lr: 4.845219681694246e-05 loss: 0.2113 (0.2200) loss_seg: 0.2102 (0.2181) loss_lansim: 0.1067 (0.1233) loss_contra: 0.0245 (0.0585) time: 2.8716 data: 0.0055 max mem: 31630 Epoch: [1] [1980/5278] eta: 2:38:11 lr: 4.845005786220713e-05 loss: 0.2079 (0.2198) loss_seg: 0.2061 (0.2180) loss_lansim: 0.1055 (0.1232) loss_contra: 0.0245 (0.0585) time: 2.8679 data: 0.0055 max mem: 31630 Epoch: [1] [1990/5278] eta: 2:37:43 lr: 4.844791889697956e-05 loss: 0.2079 (0.2197) loss_seg: 0.2061 (0.2179) loss_lansim: 0.1055 (0.1231) loss_contra: 0.0272 (0.0585) time: 2.8752 data: 0.0056 max mem: 31630 Epoch: [1] [2000/5278] eta: 2:37:14 lr: 4.844577992125917e-05 loss: 0.2085 (0.2197) loss_seg: 0.2073 (0.2179) loss_lansim: 0.1041 (0.1230) loss_contra: 0.0272 (0.0585) time: 2.8754 data: 0.0056 max mem: 31630 Epoch: [1] [2010/5278] eta: 2:36:45 lr: 4.84436409350454e-05 loss: 0.2078 (0.2197) loss_seg: 0.2058 (0.2179) loss_lansim: 0.1044 (0.1229) loss_contra: 0.0227 (0.0585) time: 2.8751 data: 0.0056 max mem: 31630 Epoch: [1] [2020/5278] eta: 2:36:16 lr: 4.844150193833768e-05 loss: 0.2027 (0.2197) loss_seg: 0.2014 (0.2179) loss_lansim: 0.1040 (0.1228) loss_contra: 0.0257 (0.0585) time: 2.8754 data: 0.0056 max mem: 31630 Epoch: [1] [2030/5278] eta: 2:35:48 lr: 4.843936293113546e-05 loss: 0.2074 (0.2197) loss_seg: 0.2058 (0.2179) loss_lansim: 0.1040 (0.1227) loss_contra: 0.0180 (0.0585) time: 2.8834 data: 0.0056 max mem: 31630 Epoch: [1] [2040/5278] eta: 2:35:18 lr: 4.843722391343815e-05 loss: 0.2074 (0.2196) loss_seg: 0.2058 (0.2178) loss_lansim: 0.1041 (0.1227) loss_contra: 0.0269 (0.0584) time: 2.8796 data: 0.0056 max mem: 31630 Epoch: [1] [2050/5278] eta: 2:34:50 lr: 4.8435084885245195e-05 loss: 0.2051 (0.2197) loss_seg: 0.2042 (0.2179) loss_lansim: 0.1040 (0.1227) loss_contra: 0.0281 (0.0584) time: 2.8807 data: 0.0057 max mem: 31630 Epoch: [1] [2060/5278] eta: 2:34:20 lr: 4.843294584655603e-05 loss: 0.2024 (0.2194) loss_seg: 0.2004 (0.2176) loss_lansim: 0.1028 (0.1226) loss_contra: 0.0272 (0.0585) time: 2.8760 data: 0.0057 max mem: 31630 Epoch: [1] [2070/5278] eta: 2:33:51 lr: 4.843080679737009e-05 loss: 0.2025 (0.2197) loss_seg: 0.2008 (0.2178) loss_lansim: 0.1030 (0.1226) loss_contra: 0.0293 (0.0584) time: 2.8723 data: 0.0058 max mem: 31630 Epoch: [1] [2080/5278] eta: 2:33:22 lr: 4.8428667737686803e-05 loss: 0.2025 (0.2196) loss_seg: 0.2014 (0.2178) loss_lansim: 0.1046 (0.1226) loss_contra: 0.0269 (0.0583) time: 2.8683 data: 0.0058 max mem: 31630 Epoch: [1] [2090/5278] eta: 2:32:52 lr: 4.842652866750561e-05 loss: 0.2066 (0.2195) loss_seg: 0.2049 (0.2177) loss_lansim: 0.1046 (0.1225) loss_contra: 0.0262 (0.0581) time: 2.8577 data: 0.0058 max mem: 31630 Epoch: [1] [2100/5278] eta: 2:32:23 lr: 4.842438958682593e-05 loss: 0.2018 (0.2194) loss_seg: 0.2006 (0.2176) loss_lansim: 0.1097 (0.1224) loss_contra: 0.0240 (0.0579) time: 2.8598 data: 0.0058 max mem: 31630 Epoch: [1] [2110/5278] eta: 2:31:53 lr: 4.842225049564721e-05 loss: 0.2018 (0.2193) loss_seg: 0.2006 (0.2175) loss_lansim: 0.1090 (0.1223) loss_contra: 0.0195 (0.0577) time: 2.8493 data: 0.0058 max mem: 31630 Epoch: [1] [2120/5278] eta: 2:31:24 lr: 4.842011139396888e-05 loss: 0.2008 (0.2192) loss_seg: 0.1997 (0.2174) loss_lansim: 0.1090 (0.1223) loss_contra: 0.0180 (0.0576) time: 2.8500 data: 0.0059 max mem: 31630 Epoch: [1] [2130/5278] eta: 2:30:54 lr: 4.841797228179037e-05 loss: 0.1947 (0.2191) loss_seg: 0.1934 (0.2173) loss_lansim: 0.1068 (0.1221) loss_contra: 0.0180 (0.0575) time: 2.8356 data: 0.0059 max mem: 31630 Epoch: [1] [2140/5278] eta: 2:30:24 lr: 4.8415833159111116e-05 loss: 0.1947 (0.2190) loss_seg: 0.1934 (0.2172) loss_lansim: 0.1071 (0.1221) loss_contra: 0.0144 (0.0574) time: 2.8361 data: 0.0059 max mem: 31630 Epoch: [1] [2150/5278] eta: 2:29:55 lr: 4.841369402593054e-05 loss: 0.1936 (0.2191) loss_seg: 0.1924 (0.2173) loss_lansim: 0.1068 (0.1220) loss_contra: 0.0156 (0.0578) time: 2.8310 data: 0.0059 max mem: 31630 Epoch: [1] [2160/5278] eta: 2:29:26 lr: 4.8411554882248095e-05 loss: 0.1979 (0.2191) loss_seg: 0.1953 (0.2173) loss_lansim: 0.1086 (0.1220) loss_contra: 0.0126 (0.0578) time: 2.8298 data: 0.0058 max mem: 31630 Epoch: [1] [2170/5278] eta: 2:28:56 lr: 4.84094157280632e-05 loss: 0.1950 (0.2191) loss_seg: 0.1934 (0.2173) loss_lansim: 0.1086 (0.1220) loss_contra: 0.0119 (0.0580) time: 2.8293 data: 0.0058 max mem: 31630 Epoch: [1] [2180/5278] eta: 2:28:27 lr: 4.840727656337529e-05 loss: 0.1977 (0.2191) loss_seg: 0.1934 (0.2173) loss_lansim: 0.1086 (0.1219) loss_contra: 0.0149 (0.0582) time: 2.8314 data: 0.0058 max mem: 31630 Epoch: [1] [2190/5278] eta: 2:27:58 lr: 4.840513738818379e-05 loss: 0.1934 (0.2189) loss_seg: 0.1922 (0.2171) loss_lansim: 0.1074 (0.1219) loss_contra: 0.0156 (0.0581) time: 2.8363 data: 0.0059 max mem: 31630 Epoch: [1] [2200/5278] eta: 2:27:29 lr: 4.840299820248815e-05 loss: 0.1936 (0.2188) loss_seg: 0.1924 (0.2170) loss_lansim: 0.1068 (0.1218) loss_contra: 0.0170 (0.0580) time: 2.8354 data: 0.0058 max mem: 31630 Epoch: [1] [2210/5278] eta: 2:27:01 lr: 4.84008590062878e-05 loss: 0.1936 (0.2188) loss_seg: 0.1924 (0.2170) loss_lansim: 0.1073 (0.1218) loss_contra: 0.0177 (0.0582) time: 2.8463 data: 0.0059 max mem: 31630 Epoch: [1] [2220/5278] eta: 2:26:32 lr: 4.8398719799582155e-05 loss: 0.1934 (0.2187) loss_seg: 0.1908 (0.2169) loss_lansim: 0.1082 (0.1217) loss_contra: 0.0179 (0.0581) time: 2.8498 data: 0.0058 max mem: 31630 Epoch: [1] [2230/5278] eta: 2:26:04 lr: 4.839658058237066e-05 loss: 0.1961 (0.2187) loss_seg: 0.1929 (0.2169) loss_lansim: 0.1110 (0.1217) loss_contra: 0.0177 (0.0580) time: 2.8589 data: 0.0058 max mem: 31630 Epoch: [1] [2240/5278] eta: 2:25:35 lr: 4.839444135465275e-05 loss: 0.1938 (0.2186) loss_seg: 0.1922 (0.2168) loss_lansim: 0.1110 (0.1217) loss_contra: 0.0179 (0.0578) time: 2.8649 data: 0.0058 max mem: 31630 Epoch: [1] [2250/5278] eta: 2:25:07 lr: 4.839230211642785e-05 loss: 0.1916 (0.2185) loss_seg: 0.1907 (0.2167) loss_lansim: 0.1120 (0.1217) loss_contra: 0.0168 (0.0577) time: 2.8696 data: 0.0057 max mem: 31630 Epoch: [1] [2260/5278] eta: 2:24:38 lr: 4.8390162867695393e-05 loss: 0.1916 (0.2185) loss_seg: 0.1907 (0.2167) loss_lansim: 0.1110 (0.1216) loss_contra: 0.0166 (0.0575) time: 2.8754 data: 0.0057 max mem: 31630 Epoch: [1] [2270/5278] eta: 2:24:09 lr: 4.8388023608454816e-05 loss: 0.1916 (0.2185) loss_seg: 0.1907 (0.2167) loss_lansim: 0.1110 (0.1216) loss_contra: 0.0147 (0.0573) time: 2.8767 data: 0.0057 max mem: 31630 Epoch: [1] [2280/5278] eta: 2:23:41 lr: 4.8385884338705555e-05 loss: 0.1916 (0.2187) loss_seg: 0.1907 (0.2169) loss_lansim: 0.1110 (0.1216) loss_contra: 0.0112 (0.0570) time: 2.8818 data: 0.0056 max mem: 31630 Epoch: [1] [2290/5278] eta: 2:23:12 lr: 4.8383745058447034e-05 loss: 0.1937 (0.2186) loss_seg: 0.1922 (0.2169) loss_lansim: 0.1150 (0.1216) loss_contra: 0.0088 (0.0569) time: 2.8842 data: 0.0056 max mem: 31630 Epoch: [1] [2300/5278] eta: 2:22:43 lr: 4.8381605767678684e-05 loss: 0.1930 (0.2185) loss_seg: 0.1920 (0.2167) loss_lansim: 0.1179 (0.1216) loss_contra: 0.0055 (0.0566) time: 2.8873 data: 0.0056 max mem: 31630 Epoch: [1] [2310/5278] eta: 2:22:14 lr: 4.837946646639994e-05 loss: 0.1916 (0.2184) loss_seg: 0.1907 (0.2166) loss_lansim: 0.1170 (0.1216) loss_contra: 0.0052 (0.0566) time: 2.8791 data: 0.0055 max mem: 31630 Epoch: [1] [2320/5278] eta: 2:21:45 lr: 4.837732715461024e-05 loss: 0.1916 (0.2183) loss_seg: 0.1907 (0.2165) loss_lansim: 0.1150 (0.1215) loss_contra: 0.0045 (0.0565) time: 2.8801 data: 0.0055 max mem: 31630 Epoch: [1] [2330/5278] eta: 2:21:17 lr: 4.8375187832309e-05 loss: 0.1915 (0.2182) loss_seg: 0.1903 (0.2164) loss_lansim: 0.1130 (0.1215) loss_contra: 0.0045 (0.0563) time: 2.8794 data: 0.0055 max mem: 31630 Epoch: [1] [2340/5278] eta: 2:20:48 lr: 4.837304849949568e-05 loss: 0.1933 (0.2182) loss_seg: 0.1920 (0.2164) loss_lansim: 0.1113 (0.1214) loss_contra: 0.0046 (0.0563) time: 2.8798 data: 0.0056 max mem: 31630 Epoch: [1] [2350/5278] eta: 2:20:19 lr: 4.837090915616967e-05 loss: 0.2029 (0.2182) loss_seg: 0.2016 (0.2164) loss_lansim: 0.1122 (0.1214) loss_contra: 0.0052 (0.0563) time: 2.8764 data: 0.0056 max mem: 31630 Epoch: [1] [2360/5278] eta: 2:19:50 lr: 4.836876980233045e-05 loss: 0.2044 (0.2184) loss_seg: 0.2033 (0.2166) loss_lansim: 0.1132 (0.1214) loss_contra: 0.0075 (0.0565) time: 2.8752 data: 0.0056 max mem: 31630 Epoch: [1] [2370/5278] eta: 2:19:22 lr: 4.8366630437977414e-05 loss: 0.2054 (0.2184) loss_seg: 0.2035 (0.2166) loss_lansim: 0.1149 (0.1214) loss_contra: 0.0125 (0.0565) time: 2.8757 data: 0.0055 max mem: 31630 Epoch: [1] [2380/5278] eta: 2:18:53 lr: 4.836449106311001e-05 loss: 0.2046 (0.2183) loss_seg: 0.2033 (0.2165) loss_lansim: 0.1163 (0.1215) loss_contra: 0.0152 (0.0566) time: 2.8724 data: 0.0055 max mem: 31630 Epoch: [1] [2390/5278] eta: 2:18:24 lr: 4.836235167772766e-05 loss: 0.2044 (0.2182) loss_seg: 0.2030 (0.2164) loss_lansim: 0.1163 (0.1215) loss_contra: 0.0205 (0.0566) time: 2.8752 data: 0.0055 max mem: 31630 Epoch: [1] [2400/5278] eta: 2:17:56 lr: 4.83602122818298e-05 loss: 0.2066 (0.2182) loss_seg: 0.2042 (0.2164) loss_lansim: 0.1163 (0.1215) loss_contra: 0.0236 (0.0566) time: 2.8780 data: 0.0055 max mem: 31630 Epoch: [1] [2410/5278] eta: 2:17:28 lr: 4.835807287541588e-05 loss: 0.2049 (0.2181) loss_seg: 0.2034 (0.2163) loss_lansim: 0.1178 (0.1215) loss_contra: 0.0208 (0.0565) time: 2.8854 data: 0.0055 max mem: 31630 Epoch: [1] [2420/5278] eta: 2:16:59 lr: 4.83559334584853e-05 loss: 0.2052 (0.2181) loss_seg: 0.2036 (0.2163) loss_lansim: 0.1185 (0.1215) loss_contra: 0.0208 (0.0564) time: 2.8831 data: 0.0055 max mem: 31630 Epoch: [1] [2430/5278] eta: 2:16:30 lr: 4.835379403103751e-05 loss: 0.2037 (0.2180) loss_seg: 0.2007 (0.2162) loss_lansim: 0.1206 (0.1215) loss_contra: 0.0208 (0.0565) time: 2.8856 data: 0.0055 max mem: 31630 Epoch: [1] [2440/5278] eta: 2:16:01 lr: 4.835165459307194e-05 loss: 0.2021 (0.2179) loss_seg: 0.2002 (0.2161) loss_lansim: 0.1206 (0.1215) loss_contra: 0.0208 (0.0565) time: 2.8787 data: 0.0054 max mem: 31630 Epoch: [1] [2450/5278] eta: 2:15:33 lr: 4.834951514458802e-05 loss: 0.2014 (0.2179) loss_seg: 0.1998 (0.2161) loss_lansim: 0.1210 (0.1215) loss_contra: 0.0147 (0.0563) time: 2.8851 data: 0.0054 max mem: 31630 Epoch: [1] [2460/5278] eta: 2:15:03 lr: 4.834737568558517e-05 loss: 0.2006 (0.2179) loss_seg: 0.1993 (0.2161) loss_lansim: 0.1185 (0.1214) loss_contra: 0.0141 (0.0562) time: 2.8783 data: 0.0054 max mem: 31630 Epoch: [1] [2470/5278] eta: 2:14:35 lr: 4.834523621606284e-05 loss: 0.1997 (0.2178) loss_seg: 0.1965 (0.2161) loss_lansim: 0.1170 (0.1214) loss_contra: 0.0129 (0.0561) time: 2.8837 data: 0.0054 max mem: 31630 Epoch: [1] [2480/5278] eta: 2:14:05 lr: 4.834309673602044e-05 loss: 0.1940 (0.2177) loss_seg: 0.1928 (0.2160) loss_lansim: 0.1150 (0.1213) loss_contra: 0.0114 (0.0562) time: 2.8784 data: 0.0054 max mem: 31630 Epoch: [1] [2490/5278] eta: 2:13:36 lr: 4.834095724545743e-05 loss: 0.2001 (0.2178) loss_seg: 0.1985 (0.2160) loss_lansim: 0.1141 (0.1213) loss_contra: 0.0108 (0.0561) time: 2.8695 data: 0.0054 max mem: 31630 Epoch: [1] [2500/5278] eta: 2:13:07 lr: 4.833881774437322e-05 loss: 0.1965 (0.2177) loss_seg: 0.1951 (0.2159) loss_lansim: 0.1127 (0.1213) loss_contra: 0.0114 (0.0560) time: 2.8583 data: 0.0054 max mem: 31630 Epoch: [1] [2510/5278] eta: 2:12:37 lr: 4.833667823276723e-05 loss: 0.1945 (0.2176) loss_seg: 0.1931 (0.2159) loss_lansim: 0.1113 (0.1213) loss_contra: 0.0141 (0.0559) time: 2.8475 data: 0.0054 max mem: 31630 Epoch: [1] [2520/5278] eta: 2:12:07 lr: 4.833453871063892e-05 loss: 0.1966 (0.2178) loss_seg: 0.1954 (0.2160) loss_lansim: 0.1111 (0.1212) loss_contra: 0.0150 (0.0558) time: 2.8409 data: 0.0054 max mem: 31630 Epoch: [1] [2530/5278] eta: 2:11:38 lr: 4.83323991779877e-05 loss: 0.2001 (0.2178) loss_seg: 0.1965 (0.2160) loss_lansim: 0.1099 (0.1212) loss_contra: 0.0143 (0.0556) time: 2.8349 data: 0.0054 max mem: 31630 Epoch: [1] [2540/5278] eta: 2:11:09 lr: 4.8330259634813005e-05 loss: 0.1977 (0.2177) loss_seg: 0.1962 (0.2160) loss_lansim: 0.1096 (0.1211) loss_contra: 0.0143 (0.0555) time: 2.8334 data: 0.0055 max mem: 31630 Epoch: [1] [2550/5278] eta: 2:10:39 lr: 4.8328120081114264e-05 loss: 0.1971 (0.2177) loss_seg: 0.1957 (0.2159) loss_lansim: 0.1101 (0.1211) loss_contra: 0.0143 (0.0555) time: 2.8209 data: 0.0055 max mem: 31630 Epoch: [1] [2560/5278] eta: 2:10:10 lr: 4.8325980516890916e-05 loss: 0.2001 (0.2177) loss_seg: 0.1991 (0.2159) loss_lansim: 0.1102 (0.1210) loss_contra: 0.0141 (0.0554) time: 2.8248 data: 0.0055 max mem: 31630 Epoch: [1] [2570/5278] eta: 2:09:42 lr: 4.832384094214239e-05 loss: 0.2037 (0.2178) loss_seg: 0.2021 (0.2160) loss_lansim: 0.1106 (0.1210) loss_contra: 0.0148 (0.0554) time: 2.8210 data: 0.0056 max mem: 31630 Epoch: [1] [2580/5278] eta: 2:09:13 lr: 4.8321701356868104e-05 loss: 0.2042 (0.2178) loss_seg: 0.2028 (0.2160) loss_lansim: 0.1096 (0.1209) loss_contra: 0.0147 (0.0553) time: 2.8253 data: 0.0057 max mem: 31630 Epoch: [1] [2590/5278] eta: 2:08:44 lr: 4.83195617610675e-05 loss: 0.2042 (0.2178) loss_seg: 0.2028 (0.2160) loss_lansim: 0.1096 (0.1209) loss_contra: 0.0124 (0.0552) time: 2.8353 data: 0.0057 max mem: 31630 Epoch: [1] [2600/5278] eta: 2:08:15 lr: 4.831742215474e-05 loss: 0.2080 (0.2178) loss_seg: 0.2068 (0.2160) loss_lansim: 0.1102 (0.1209) loss_contra: 0.0112 (0.0551) time: 2.8375 data: 0.0057 max mem: 31630 Epoch: [1] [2610/5278] eta: 2:07:47 lr: 4.831528253788505e-05 loss: 0.2079 (0.2177) loss_seg: 0.2063 (0.2160) loss_lansim: 0.1094 (0.1209) loss_contra: 0.0110 (0.0551) time: 2.8476 data: 0.0057 max mem: 31630 Epoch: [1] [2620/5278] eta: 2:07:18 lr: 4.8313142910502066e-05 loss: 0.2042 (0.2178) loss_seg: 0.2028 (0.2160) loss_lansim: 0.1096 (0.1208) loss_contra: 0.0094 (0.0549) time: 2.8571 data: 0.0057 max mem: 31630 Epoch: [1] [2630/5278] eta: 2:06:50 lr: 4.831100327259048e-05 loss: 0.2000 (0.2177) loss_seg: 0.1981 (0.2159) loss_lansim: 0.1082 (0.1208) loss_contra: 0.0121 (0.0548) time: 2.8625 data: 0.0056 max mem: 31630 Epoch: [1] [2640/5278] eta: 2:06:21 lr: 4.830886362414973e-05 loss: 0.2020 (0.2177) loss_seg: 0.2011 (0.2160) loss_lansim: 0.1086 (0.1207) loss_contra: 0.0148 (0.0547) time: 2.8669 data: 0.0056 max mem: 31630 Epoch: [1] [2650/5278] eta: 2:05:52 lr: 4.8306723965179236e-05 loss: 0.2033 (0.2178) loss_seg: 0.2012 (0.2160) loss_lansim: 0.1094 (0.1208) loss_contra: 0.0166 (0.0546) time: 2.8745 data: 0.0056 max mem: 31630 Epoch: [1] [2660/5278] eta: 2:05:23 lr: 4.830458429567843e-05 loss: 0.2000 (0.2178) loss_seg: 0.1981 (0.2161) loss_lansim: 0.1134 (0.1209) loss_contra: 0.0178 (0.0546) time: 2.8775 data: 0.0056 max mem: 31630 Epoch: [1] [2670/5278] eta: 2:04:54 lr: 4.830244461564675e-05 loss: 0.1966 (0.2177) loss_seg: 0.1947 (0.2160) loss_lansim: 0.1184 (0.1210) loss_contra: 0.0180 (0.0551) time: 2.8755 data: 0.0056 max mem: 31630 Epoch: [1] [2680/5278] eta: 2:04:26 lr: 4.8300304925083605e-05 loss: 0.1966 (0.2177) loss_seg: 0.1947 (0.2159) loss_lansim: 0.1236 (0.1211) loss_contra: 0.0194 (0.0554) time: 2.8793 data: 0.0055 max mem: 31630 Epoch: [1] [2690/5278] eta: 2:03:57 lr: 4.829816522398845e-05 loss: 0.1966 (0.2177) loss_seg: 0.1947 (0.2160) loss_lansim: 0.1252 (0.1212) loss_contra: 0.0194 (0.0553) time: 2.8725 data: 0.0055 max mem: 31630 Epoch: [1] [2700/5278] eta: 2:03:28 lr: 4.829602551236071e-05 loss: 0.2001 (0.2178) loss_seg: 0.1981 (0.2160) loss_lansim: 0.1317 (0.1212) loss_contra: 0.0214 (0.0556) time: 2.8782 data: 0.0055 max mem: 31630 Epoch: [1] [2710/5278] eta: 2:03:00 lr: 4.82938857901998e-05 loss: 0.2073 (0.2178) loss_seg: 0.2057 (0.2160) loss_lansim: 0.1303 (0.1212) loss_contra: 0.0236 (0.0558) time: 2.8791 data: 0.0055 max mem: 31630 Epoch: [1] [2720/5278] eta: 2:02:31 lr: 4.829174605750516e-05 loss: 0.2089 (0.2179) loss_seg: 0.2058 (0.2162) loss_lansim: 0.1321 (0.1212) loss_contra: 0.0254 (0.0558) time: 2.8738 data: 0.0055 max mem: 31630 Epoch: [1] [2730/5278] eta: 2:02:02 lr: 4.8289606314276216e-05 loss: 0.2101 (0.2179) loss_seg: 0.2073 (0.2162) loss_lansim: 0.1321 (0.1213) loss_contra: 0.0300 (0.0558) time: 2.8720 data: 0.0055 max mem: 31630 Epoch: [1] [2740/5278] eta: 2:01:33 lr: 4.8287466560512406e-05 loss: 0.2124 (0.2179) loss_seg: 0.2112 (0.2162) loss_lansim: 0.1326 (0.1213) loss_contra: 0.0300 (0.0559) time: 2.8738 data: 0.0055 max mem: 31630 Epoch: [1] [2750/5278] eta: 2:01:05 lr: 4.828532679621315e-05 loss: 0.2127 (0.2179) loss_seg: 0.2113 (0.2162) loss_lansim: 0.1327 (0.1213) loss_contra: 0.0300 (0.0558) time: 2.8746 data: 0.0055 max mem: 31630 Epoch: [1] [2760/5278] eta: 2:00:36 lr: 4.8283187021377875e-05 loss: 0.2124 (0.2179) loss_seg: 0.2111 (0.2161) loss_lansim: 0.1300 (0.1213) loss_contra: 0.0326 (0.0560) time: 2.8776 data: 0.0055 max mem: 31630 Epoch: [1] [2770/5278] eta: 2:00:08 lr: 4.8281047236006014e-05 loss: 0.2124 (0.2178) loss_seg: 0.2111 (0.2160) loss_lansim: 0.1260 (0.1213) loss_contra: 0.0262 (0.0560) time: 2.8802 data: 0.0054 max mem: 31630 Epoch: [1] [2780/5278] eta: 1:59:39 lr: 4.827890744009701e-05 loss: 0.2096 (0.2178) loss_seg: 0.2059 (0.2160) loss_lansim: 0.1250 (0.1212) loss_contra: 0.0233 (0.0558) time: 2.8816 data: 0.0054 max mem: 31630 Epoch: [1] [2790/5278] eta: 1:59:11 lr: 4.827676763365027e-05 loss: 0.2094 (0.2178) loss_seg: 0.2057 (0.2160) loss_lansim: 0.1222 (0.1212) loss_contra: 0.0236 (0.0558) time: 2.8881 data: 0.0054 max mem: 31630 Epoch: [1] [2800/5278] eta: 1:58:42 lr: 4.827462781666524e-05 loss: 0.2019 (0.2177) loss_seg: 0.2007 (0.2159) loss_lansim: 0.1193 (0.1212) loss_contra: 0.0207 (0.0557) time: 2.8823 data: 0.0054 max mem: 31630 Epoch: [1] [2810/5278] eta: 1:58:13 lr: 4.827248798914133e-05 loss: 0.2012 (0.2177) loss_seg: 0.1995 (0.2160) loss_lansim: 0.1222 (0.1212) loss_contra: 0.0206 (0.0557) time: 2.8807 data: 0.0054 max mem: 31630 Epoch: [1] [2820/5278] eta: 1:57:44 lr: 4.8270348151078e-05 loss: 0.1984 (0.2176) loss_seg: 0.1967 (0.2158) loss_lansim: 0.1200 (0.1213) loss_contra: 0.0200 (0.0557) time: 2.8840 data: 0.0054 max mem: 31630 Epoch: [1] [2830/5278] eta: 1:57:15 lr: 4.826820830247465e-05 loss: 0.1984 (0.2176) loss_seg: 0.1967 (0.2158) loss_lansim: 0.1191 (0.1213) loss_contra: 0.0185 (0.0556) time: 2.8829 data: 0.0054 max mem: 31630 Epoch: [1] [2840/5278] eta: 1:56:47 lr: 4.826606844333072e-05 loss: 0.1931 (0.2175) loss_seg: 0.1918 (0.2157) loss_lansim: 0.1188 (0.1213) loss_contra: 0.0184 (0.0555) time: 2.8823 data: 0.0054 max mem: 31630 Epoch: [1] [2850/5278] eta: 1:56:18 lr: 4.826392857364563e-05 loss: 0.1918 (0.2174) loss_seg: 0.1896 (0.2156) loss_lansim: 0.1181 (0.1213) loss_contra: 0.0159 (0.0554) time: 2.8812 data: 0.0054 max mem: 31630 Epoch: [1] [2860/5278] eta: 1:55:49 lr: 4.826178869341883e-05 loss: 0.1918 (0.2173) loss_seg: 0.1878 (0.2156) loss_lansim: 0.1184 (0.1213) loss_contra: 0.0119 (0.0554) time: 2.8770 data: 0.0054 max mem: 31630 Epoch: [1] [2870/5278] eta: 1:55:20 lr: 4.825964880264973e-05 loss: 0.1984 (0.2175) loss_seg: 0.1967 (0.2157) loss_lansim: 0.1215 (0.1213) loss_contra: 0.0116 (0.0553) time: 2.8736 data: 0.0054 max mem: 31630 Epoch: [1] [2880/5278] eta: 1:54:51 lr: 4.825750890133776e-05 loss: 0.2017 (0.2175) loss_seg: 0.2007 (0.2157) loss_lansim: 0.1256 (0.1214) loss_contra: 0.0159 (0.0552) time: 2.8689 data: 0.0054 max mem: 31630 Epoch: [1] [2890/5278] eta: 1:54:22 lr: 4.825536898948235e-05 loss: 0.2019 (0.2176) loss_seg: 0.2008 (0.2159) loss_lansim: 0.1285 (0.1215) loss_contra: 0.0159 (0.0552) time: 2.8624 data: 0.0054 max mem: 31630 Epoch: [1] [2900/5278] eta: 1:53:54 lr: 4.8253229067082936e-05 loss: 0.2045 (0.2176) loss_seg: 0.2026 (0.2159) loss_lansim: 0.1301 (0.1216) loss_contra: 0.0157 (0.0551) time: 2.8676 data: 0.0055 max mem: 31630 Epoch: [1] [2910/5278] eta: 1:53:25 lr: 4.825108913413895e-05 loss: 0.2044 (0.2176) loss_seg: 0.2026 (0.2158) loss_lansim: 0.1314 (0.1217) loss_contra: 0.0120 (0.0552) time: 2.8662 data: 0.0055 max mem: 31630 Epoch: [1] [2920/5278] eta: 1:52:56 lr: 4.824894919064981e-05 loss: 0.2044 (0.2175) loss_seg: 0.2028 (0.2157) loss_lansim: 0.1318 (0.1217) loss_contra: 0.0156 (0.0551) time: 2.8649 data: 0.0056 max mem: 31630 Epoch: [1] [2930/5278] eta: 1:52:28 lr: 4.824680923661494e-05 loss: 0.2045 (0.2175) loss_seg: 0.2028 (0.2158) loss_lansim: 0.1335 (0.1217) loss_contra: 0.0156 (0.0551) time: 2.8678 data: 0.0056 max mem: 31630 Epoch: [1] [2940/5278] eta: 1:51:58 lr: 4.824466927203377e-05 loss: 0.2123 (0.2175) loss_seg: 0.2104 (0.2158) loss_lansim: 0.1347 (0.1218) loss_contra: 0.0143 (0.0552) time: 2.8644 data: 0.0056 max mem: 31630 Epoch: [1] [2950/5278] eta: 1:51:30 lr: 4.824252929690574e-05 loss: 0.2123 (0.2176) loss_seg: 0.2104 (0.2159) loss_lansim: 0.1347 (0.1218) loss_contra: 0.0189 (0.0552) time: 2.8682 data: 0.0056 max mem: 31630 Epoch: [1] [2960/5278] eta: 1:51:01 lr: 4.824038931123027e-05 loss: 0.2096 (0.2176) loss_seg: 0.2080 (0.2158) loss_lansim: 0.1349 (0.1218) loss_contra: 0.0176 (0.0551) time: 2.8652 data: 0.0057 max mem: 31630 Epoch: [1] [2970/5278] eta: 1:50:32 lr: 4.823824931500679e-05 loss: 0.2051 (0.2176) loss_seg: 0.2032 (0.2158) loss_lansim: 0.1342 (0.1218) loss_contra: 0.0143 (0.0550) time: 2.8709 data: 0.0056 max mem: 31630 Epoch: [1] [2980/5278] eta: 1:50:04 lr: 4.823610930823473e-05 loss: 0.2035 (0.2175) loss_seg: 0.1991 (0.2158) loss_lansim: 0.1294 (0.1218) loss_contra: 0.0130 (0.0549) time: 2.8726 data: 0.0056 max mem: 31630 Epoch: [1] [2990/5278] eta: 1:49:35 lr: 4.8233969290913514e-05 loss: 0.2035 (0.2175) loss_seg: 0.1987 (0.2157) loss_lansim: 0.1275 (0.1218) loss_contra: 0.0141 (0.0549) time: 2.8730 data: 0.0056 max mem: 31630 Epoch: [1] [3000/5278] eta: 1:49:06 lr: 4.823182926304257e-05 loss: 0.2045 (0.2175) loss_seg: 0.2019 (0.2157) loss_lansim: 0.1231 (0.1217) loss_contra: 0.0143 (0.0548) time: 2.8729 data: 0.0055 max mem: 31630 Epoch: [1] [3010/5278] eta: 1:48:37 lr: 4.8229689224621327e-05 loss: 0.2035 (0.2175) loss_seg: 0.1987 (0.2157) loss_lansim: 0.1202 (0.1217) loss_contra: 0.0141 (0.0547) time: 2.8705 data: 0.0055 max mem: 31630 Epoch: [1] [3020/5278] eta: 1:48:08 lr: 4.8227549175649215e-05 loss: 0.2035 (0.2174) loss_seg: 0.1987 (0.2156) loss_lansim: 0.1187 (0.1217) loss_contra: 0.0122 (0.0546) time: 2.8693 data: 0.0055 max mem: 31630 Epoch: [1] [3030/5278] eta: 1:47:39 lr: 4.822540911612566e-05 loss: 0.1940 (0.2174) loss_seg: 0.1930 (0.2156) loss_lansim: 0.1169 (0.1217) loss_contra: 0.0115 (0.0545) time: 2.8641 data: 0.0055 max mem: 31630 Epoch: [1] [3040/5278] eta: 1:47:10 lr: 4.822326904605008e-05 loss: 0.1934 (0.2174) loss_seg: 0.1920 (0.2156) loss_lansim: 0.1138 (0.1216) loss_contra: 0.0133 (0.0547) time: 2.8638 data: 0.0055 max mem: 31630 Epoch: [1] [3050/5278] eta: 1:46:42 lr: 4.8221128965421924e-05 loss: 0.1959 (0.2174) loss_seg: 0.1947 (0.2156) loss_lansim: 0.1131 (0.1216) loss_contra: 0.0143 (0.0547) time: 2.8631 data: 0.0056 max mem: 31630 Epoch: [1] [3060/5278] eta: 1:46:13 lr: 4.82189888742406e-05 loss: 0.2030 (0.2174) loss_seg: 0.1997 (0.2156) loss_lansim: 0.1135 (0.1216) loss_contra: 0.0145 (0.0546) time: 2.8608 data: 0.0057 max mem: 31630 Epoch: [1] [3070/5278] eta: 1:45:44 lr: 4.8216848772505554e-05 loss: 0.1929 (0.2174) loss_seg: 0.1918 (0.2157) loss_lansim: 0.1145 (0.1217) loss_contra: 0.0157 (0.0545) time: 2.8605 data: 0.0057 max mem: 31630 Epoch: [1] [3080/5278] eta: 1:45:15 lr: 4.82147086602162e-05 loss: 0.1959 (0.2174) loss_seg: 0.1947 (0.2156) loss_lansim: 0.1204 (0.1220) loss_contra: 0.0168 (0.0545) time: 2.8574 data: 0.0057 max mem: 31630 Epoch: [1] [3090/5278] eta: 1:44:47 lr: 4.821256853737196e-05 loss: 0.1959 (0.2173) loss_seg: 0.1947 (0.2155) loss_lansim: 0.1217 (0.1220) loss_contra: 0.0150 (0.0545) time: 2.8611 data: 0.0057 max mem: 31630 Epoch: [1] [3100/5278] eta: 1:44:18 lr: 4.821042840397227e-05 loss: 0.1907 (0.2173) loss_seg: 0.1895 (0.2155) loss_lansim: 0.1233 (0.1220) loss_contra: 0.0150 (0.0545) time: 2.8582 data: 0.0057 max mem: 31630 Epoch: [1] [3110/5278] eta: 1:43:49 lr: 4.820828826001656e-05 loss: 0.1906 (0.2172) loss_seg: 0.1891 (0.2154) loss_lansim: 0.1260 (0.1220) loss_contra: 0.0178 (0.0545) time: 2.8559 data: 0.0057 max mem: 31630 Epoch: [1] [3120/5278] eta: 1:43:20 lr: 4.820614810550426e-05 loss: 0.1975 (0.2171) loss_seg: 0.1963 (0.2153) loss_lansim: 0.1298 (0.1221) loss_contra: 0.0195 (0.0545) time: 2.8525 data: 0.0058 max mem: 31630 Epoch: [1] [3130/5278] eta: 1:42:50 lr: 4.820400794043478e-05 loss: 0.1943 (0.2171) loss_seg: 0.1922 (0.2153) loss_lansim: 0.1279 (0.1221) loss_contra: 0.0183 (0.0544) time: 2.8490 data: 0.0058 max mem: 31630 Epoch: [1] [3140/5278] eta: 1:42:21 lr: 4.820186776480757e-05 loss: 0.1975 (0.2172) loss_seg: 0.1963 (0.2154) loss_lansim: 0.1299 (0.1221) loss_contra: 0.0195 (0.0543) time: 2.8494 data: 0.0058 max mem: 31630 Epoch: [1] [3150/5278] eta: 1:41:52 lr: 4.819972757862204e-05 loss: 0.1929 (0.2171) loss_seg: 0.1918 (0.2153) loss_lansim: 0.1298 (0.1220) loss_contra: 0.0150 (0.0542) time: 2.8425 data: 0.0057 max mem: 31630 Epoch: [1] [3160/5278] eta: 1:41:23 lr: 4.819758738187763e-05 loss: 0.1906 (0.2170) loss_seg: 0.1891 (0.2152) loss_lansim: 0.1239 (0.1220) loss_contra: 0.0150 (0.0541) time: 2.8434 data: 0.0057 max mem: 31630 Epoch: [1] [3170/5278] eta: 1:40:54 lr: 4.8195447174573746e-05 loss: 0.1910 (0.2170) loss_seg: 0.1896 (0.2152) loss_lansim: 0.1200 (0.1220) loss_contra: 0.0160 (0.0543) time: 2.8372 data: 0.0058 max mem: 31630 Epoch: [1] [3180/5278] eta: 1:40:25 lr: 4.8193306956709824e-05 loss: 0.1906 (0.2169) loss_seg: 0.1891 (0.2152) loss_lansim: 0.1179 (0.1220) loss_contra: 0.0137 (0.0542) time: 2.8361 data: 0.0058 max mem: 31630 Epoch: [1] [3190/5278] eta: 1:39:56 lr: 4.8191166728285305e-05 loss: 0.1902 (0.2169) loss_seg: 0.1878 (0.2151) loss_lansim: 0.1159 (0.1219) loss_contra: 0.0144 (0.0541) time: 2.8292 data: 0.0059 max mem: 31630 Epoch: [1] [3200/5278] eta: 1:39:28 lr: 4.8189026489299614e-05 loss: 0.1910 (0.2168) loss_seg: 0.1896 (0.2151) loss_lansim: 0.1156 (0.1219) loss_contra: 0.0126 (0.0540) time: 2.8293 data: 0.0059 max mem: 31630 Epoch: [1] [3210/5278] eta: 1:38:59 lr: 4.818688623975216e-05 loss: 0.1938 (0.2168) loss_seg: 0.1921 (0.2150) loss_lansim: 0.1153 (0.1220) loss_contra: 0.0104 (0.0540) time: 2.8295 data: 0.0059 max mem: 31630 Epoch: [1] [3220/5278] eta: 1:38:30 lr: 4.818474597964238e-05 loss: 0.1910 (0.2167) loss_seg: 0.1896 (0.2150) loss_lansim: 0.1142 (0.1219) loss_contra: 0.0080 (0.0539) time: 2.8327 data: 0.0059 max mem: 31630 Epoch: [1] [3230/5278] eta: 1:38:01 lr: 4.81826057089697e-05 loss: 0.1910 (0.2166) loss_seg: 0.1896 (0.2149) loss_lansim: 0.1139 (0.1219) loss_contra: 0.0080 (0.0538) time: 2.8368 data: 0.0059 max mem: 31630 Epoch: [1] [3240/5278] eta: 1:37:32 lr: 4.8180465427733554e-05 loss: 0.1877 (0.2166) loss_seg: 0.1850 (0.2148) loss_lansim: 0.1156 (0.1220) loss_contra: 0.0076 (0.0537) time: 2.8383 data: 0.0058 max mem: 31630 Epoch: [1] [3250/5278] eta: 1:37:03 lr: 4.817832513593335e-05 loss: 0.1904 (0.2166) loss_seg: 0.1891 (0.2148) loss_lansim: 0.1182 (0.1220) loss_contra: 0.0089 (0.0537) time: 2.8453 data: 0.0058 max mem: 31630 Epoch: [1] [3260/5278] eta: 1:36:35 lr: 4.8176184833568536e-05 loss: 0.1927 (0.2165) loss_seg: 0.1906 (0.2147) loss_lansim: 0.1193 (0.1220) loss_contra: 0.0080 (0.0537) time: 2.8513 data: 0.0058 max mem: 31630 Epoch: [1] [3270/5278] eta: 1:36:06 lr: 4.8174044520638515e-05 loss: 0.1949 (0.2165) loss_seg: 0.1939 (0.2147) loss_lansim: 0.1230 (0.1221) loss_contra: 0.0071 (0.0536) time: 2.8530 data: 0.0058 max mem: 31630 Epoch: [1] [3280/5278] eta: 1:35:38 lr: 4.8171904197142734e-05 loss: 0.1971 (0.2165) loss_seg: 0.1956 (0.2147) loss_lansim: 0.1244 (0.1221) loss_contra: 0.0062 (0.0535) time: 2.8611 data: 0.0057 max mem: 31630 Epoch: [1] [3290/5278] eta: 1:35:09 lr: 4.816976386308061e-05 loss: 0.2015 (0.2165) loss_seg: 0.2004 (0.2148) loss_lansim: 0.1249 (0.1221) loss_contra: 0.0060 (0.0536) time: 2.8651 data: 0.0057 max mem: 31630 Epoch: [1] [3300/5278] eta: 1:34:40 lr: 4.816762351845157e-05 loss: 0.2040 (0.2166) loss_seg: 0.2024 (0.2148) loss_lansim: 0.1259 (0.1221) loss_contra: 0.0071 (0.0535) time: 2.8725 data: 0.0057 max mem: 31630 Epoch: [1] [3310/5278] eta: 1:34:12 lr: 4.8165483163255035e-05 loss: 0.2067 (0.2166) loss_seg: 0.2037 (0.2148) loss_lansim: 0.1281 (0.1222) loss_contra: 0.0071 (0.0535) time: 2.8750 data: 0.0056 max mem: 31630 Epoch: [1] [3320/5278] eta: 1:33:43 lr: 4.8163342797490446e-05 loss: 0.2067 (0.2165) loss_seg: 0.2037 (0.2148) loss_lansim: 0.1259 (0.1222) loss_contra: 0.0060 (0.0535) time: 2.8829 data: 0.0056 max mem: 31630 Epoch: [1] [3330/5278] eta: 1:33:14 lr: 4.816120242115722e-05 loss: 0.2041 (0.2164) loss_seg: 0.2024 (0.2147) loss_lansim: 0.1236 (0.1221) loss_contra: 0.0072 (0.0534) time: 2.8827 data: 0.0056 max mem: 31630 Epoch: [1] [3340/5278] eta: 1:32:46 lr: 4.815906203425477e-05 loss: 0.2099 (0.2164) loss_seg: 0.2085 (0.2147) loss_lansim: 0.1196 (0.1220) loss_contra: 0.0073 (0.0534) time: 2.8903 data: 0.0056 max mem: 31630 Epoch: [1] [3350/5278] eta: 1:32:17 lr: 4.815692163678254e-05 loss: 0.2041 (0.2163) loss_seg: 0.2021 (0.2146) loss_lansim: 0.1189 (0.1220) loss_contra: 0.0073 (0.0533) time: 2.8858 data: 0.0056 max mem: 31630 Epoch: [1] [3360/5278] eta: 1:31:49 lr: 4.8154781228739956e-05 loss: 0.2015 (0.2162) loss_seg: 0.1994 (0.2145) loss_lansim: 0.1183 (0.1220) loss_contra: 0.0073 (0.0532) time: 2.8896 data: 0.0056 max mem: 31630 Epoch: [1] [3370/5278] eta: 1:31:20 lr: 4.8152640810126434e-05 loss: 0.2012 (0.2163) loss_seg: 0.1994 (0.2145) loss_lansim: 0.1174 (0.1220) loss_contra: 0.0086 (0.0531) time: 2.8923 data: 0.0056 max mem: 31630 Epoch: [1] [3380/5278] eta: 1:30:51 lr: 4.81505003809414e-05 loss: 0.1974 (0.2162) loss_seg: 0.1961 (0.2145) loss_lansim: 0.1183 (0.1221) loss_contra: 0.0093 (0.0530) time: 2.8925 data: 0.0056 max mem: 31630 Epoch: [1] [3390/5278] eta: 1:30:23 lr: 4.814835994118429e-05 loss: 0.1974 (0.2162) loss_seg: 0.1961 (0.2144) loss_lansim: 0.1171 (0.1220) loss_contra: 0.0073 (0.0529) time: 2.8960 data: 0.0055 max mem: 31630 Epoch: [1] [3400/5278] eta: 1:29:54 lr: 4.814621949085451e-05 loss: 0.1948 (0.2162) loss_seg: 0.1935 (0.2144) loss_lansim: 0.1141 (0.1220) loss_contra: 0.0086 (0.0530) time: 2.8900 data: 0.0056 max mem: 31630 Epoch: [1] [3410/5278] eta: 1:29:26 lr: 4.814407902995151e-05 loss: 0.1948 (0.2162) loss_seg: 0.1935 (0.2144) loss_lansim: 0.1126 (0.1220) loss_contra: 0.0073 (0.0529) time: 2.8951 data: 0.0055 max mem: 31630 Epoch: [1] [3420/5278] eta: 1:28:57 lr: 4.8141938558474705e-05 loss: 0.1948 (0.2161) loss_seg: 0.1938 (0.2144) loss_lansim: 0.1141 (0.1220) loss_contra: 0.0072 (0.0527) time: 2.8932 data: 0.0055 max mem: 31630 Epoch: [1] [3430/5278] eta: 1:28:28 lr: 4.813979807642351e-05 loss: 0.2012 (0.2161) loss_seg: 0.1996 (0.2144) loss_lansim: 0.1165 (0.1220) loss_contra: 0.0059 (0.0527) time: 2.8984 data: 0.0055 max mem: 31630 Epoch: [1] [3440/5278] eta: 1:28:00 lr: 4.813765758379736e-05 loss: 0.1995 (0.2160) loss_seg: 0.1982 (0.2143) loss_lansim: 0.1167 (0.1219) loss_contra: 0.0052 (0.0527) time: 2.9001 data: 0.0054 max mem: 31630 Epoch: [1] [3450/5278] eta: 1:27:31 lr: 4.8135517080595686e-05 loss: 0.2016 (0.2161) loss_seg: 0.2005 (0.2143) loss_lansim: 0.1165 (0.1219) loss_contra: 0.0059 (0.0527) time: 2.9034 data: 0.0053 max mem: 31630 Epoch: [1] [3460/5278] eta: 1:27:03 lr: 4.8133376566817904e-05 loss: 0.2035 (0.2161) loss_seg: 0.2026 (0.2143) loss_lansim: 0.1165 (0.1219) loss_contra: 0.0060 (0.0526) time: 2.8994 data: 0.0053 max mem: 31630 Epoch: [1] [3470/5278] eta: 1:26:34 lr: 4.8131236042463445e-05 loss: 0.2035 (0.2160) loss_seg: 0.2026 (0.2142) loss_lansim: 0.1166 (0.1219) loss_contra: 0.0060 (0.0525) time: 2.9024 data: 0.0053 max mem: 31630 Epoch: [1] [3480/5278] eta: 1:26:05 lr: 4.8129095507531726e-05 loss: 0.2035 (0.2159) loss_seg: 0.2026 (0.2142) loss_lansim: 0.1151 (0.1218) loss_contra: 0.0077 (0.0525) time: 2.8934 data: 0.0053 max mem: 31630 Epoch: [1] [3490/5278] eta: 1:25:36 lr: 4.8126954962022186e-05 loss: 0.2097 (0.2159) loss_seg: 0.2084 (0.2142) loss_lansim: 0.1160 (0.1219) loss_contra: 0.0087 (0.0526) time: 2.8865 data: 0.0053 max mem: 31630 Epoch: [1] [3500/5278] eta: 1:25:08 lr: 4.812481440593423e-05 loss: 0.2095 (0.2159) loss_seg: 0.2079 (0.2141) loss_lansim: 0.1170 (0.1219) loss_contra: 0.0089 (0.0525) time: 2.8901 data: 0.0053 max mem: 31630 Epoch: [1] [3510/5278] eta: 1:24:39 lr: 4.81226738392673e-05 loss: 0.2068 (0.2158) loss_seg: 0.2057 (0.2141) loss_lansim: 0.1170 (0.1219) loss_contra: 0.0090 (0.0525) time: 2.8898 data: 0.0053 max mem: 31630 Epoch: [1] [3520/5278] eta: 1:24:10 lr: 4.812053326202081e-05 loss: 0.2068 (0.2158) loss_seg: 0.2057 (0.2140) loss_lansim: 0.1170 (0.1219) loss_contra: 0.0102 (0.0525) time: 2.8856 data: 0.0054 max mem: 31630 Epoch: [1] [3530/5278] eta: 1:23:42 lr: 4.81183926741942e-05 loss: 0.1953 (0.2158) loss_seg: 0.1938 (0.2140) loss_lansim: 0.1193 (0.1219) loss_contra: 0.0119 (0.0525) time: 2.8811 data: 0.0054 max mem: 31630 Epoch: [1] [3540/5278] eta: 1:23:13 lr: 4.811625207578688e-05 loss: 0.2033 (0.2158) loss_seg: 0.2021 (0.2140) loss_lansim: 0.1234 (0.1219) loss_contra: 0.0129 (0.0525) time: 2.8791 data: 0.0054 max mem: 31630 Epoch: [1] [3550/5278] eta: 1:22:44 lr: 4.8114111466798276e-05 loss: 0.1955 (0.2157) loss_seg: 0.1938 (0.2140) loss_lansim: 0.1241 (0.1219) loss_contra: 0.0133 (0.0525) time: 2.8792 data: 0.0055 max mem: 31630 Epoch: [1] [3560/5278] eta: 1:22:16 lr: 4.811197084722781e-05 loss: 0.1955 (0.2158) loss_seg: 0.1938 (0.2140) loss_lansim: 0.1234 (0.1219) loss_contra: 0.0140 (0.0526) time: 2.8761 data: 0.0055 max mem: 31630 Epoch: [1] [3570/5278] eta: 1:21:47 lr: 4.810983021707493e-05 loss: 0.1955 (0.2158) loss_seg: 0.1938 (0.2140) loss_lansim: 0.1234 (0.1219) loss_contra: 0.0139 (0.0525) time: 2.8747 data: 0.0055 max mem: 31630 Epoch: [1] [3580/5278] eta: 1:21:18 lr: 4.810768957633903e-05 loss: 0.1944 (0.2157) loss_seg: 0.1922 (0.2139) loss_lansim: 0.1236 (0.1219) loss_contra: 0.0175 (0.0524) time: 2.8773 data: 0.0055 max mem: 31630 Epoch: [1] [3590/5278] eta: 1:20:49 lr: 4.810554892501954e-05 loss: 0.1906 (0.2157) loss_seg: 0.1894 (0.2140) loss_lansim: 0.1225 (0.1219) loss_contra: 0.0175 (0.0526) time: 2.8770 data: 0.0055 max mem: 31630 Epoch: [1] [3600/5278] eta: 1:20:21 lr: 4.8103408263115904e-05 loss: 0.1906 (0.2157) loss_seg: 0.1893 (0.2139) loss_lansim: 0.1220 (0.1219) loss_contra: 0.0186 (0.0525) time: 2.8738 data: 0.0055 max mem: 31630 Epoch: [1] [3610/5278] eta: 1:19:52 lr: 4.810126759062753e-05 loss: 0.1890 (0.2156) loss_seg: 0.1873 (0.2139) loss_lansim: 0.1194 (0.1218) loss_contra: 0.0186 (0.0525) time: 2.8713 data: 0.0055 max mem: 31630 Epoch: [1] [3620/5278] eta: 1:19:23 lr: 4.809912690755386e-05 loss: 0.1890 (0.2155) loss_seg: 0.1873 (0.2138) loss_lansim: 0.1188 (0.1218) loss_contra: 0.0186 (0.0524) time: 2.8702 data: 0.0055 max mem: 31630 Epoch: [1] [3630/5278] eta: 1:18:54 lr: 4.8096986213894277e-05 loss: 0.1931 (0.2155) loss_seg: 0.1920 (0.2138) loss_lansim: 0.1162 (0.1218) loss_contra: 0.0159 (0.0524) time: 2.8754 data: 0.0055 max mem: 31630 Epoch: [1] [3640/5278] eta: 1:18:26 lr: 4.809484550964825e-05 loss: 0.1944 (0.2155) loss_seg: 0.1922 (0.2138) loss_lansim: 0.1162 (0.1217) loss_contra: 0.0144 (0.0523) time: 2.8717 data: 0.0056 max mem: 31630 Epoch: [1] [3650/5278] eta: 1:17:57 lr: 4.809270479481519e-05 loss: 0.1944 (0.2155) loss_seg: 0.1922 (0.2137) loss_lansim: 0.1143 (0.1217) loss_contra: 0.0129 (0.0523) time: 2.8694 data: 0.0056 max mem: 31630 Epoch: [1] [3660/5278] eta: 1:17:28 lr: 4.809056406939451e-05 loss: 0.1944 (0.2156) loss_seg: 0.1922 (0.2138) loss_lansim: 0.1142 (0.1217) loss_contra: 0.0101 (0.0522) time: 2.8730 data: 0.0056 max mem: 31630 Epoch: [1] [3670/5278] eta: 1:16:59 lr: 4.808842333338564e-05 loss: 0.1970 (0.2156) loss_seg: 0.1945 (0.2139) loss_lansim: 0.1145 (0.1217) loss_contra: 0.0129 (0.0521) time: 2.8664 data: 0.0056 max mem: 31630 Epoch: [1] [3680/5278] eta: 1:16:31 lr: 4.8086282586788e-05 loss: 0.1972 (0.2156) loss_seg: 0.1958 (0.2139) loss_lansim: 0.1146 (0.1217) loss_contra: 0.0101 (0.0521) time: 2.8672 data: 0.0056 max mem: 31630 Epoch: [1] [3690/5278] eta: 1:16:01 lr: 4.808414182960102e-05 loss: 0.2061 (0.2157) loss_seg: 0.2048 (0.2139) loss_lansim: 0.1167 (0.1217) loss_contra: 0.0101 (0.0521) time: 2.8619 data: 0.0056 max mem: 31630 Epoch: [1] [3700/5278] eta: 1:15:33 lr: 4.808200106182413e-05 loss: 0.2128 (0.2157) loss_seg: 0.2117 (0.2139) loss_lansim: 0.1179 (0.1217) loss_contra: 0.0127 (0.0521) time: 2.8630 data: 0.0056 max mem: 31630 Epoch: [1] [3710/5278] eta: 1:15:04 lr: 4.807986028345674e-05 loss: 0.2159 (0.2157) loss_seg: 0.2145 (0.2140) loss_lansim: 0.1208 (0.1219) loss_contra: 0.0103 (0.0520) time: 2.8586 data: 0.0056 max mem: 31630 Epoch: [1] [3720/5278] eta: 1:14:35 lr: 4.807771949449828e-05 loss: 0.2159 (0.2157) loss_seg: 0.2145 (0.2140) loss_lansim: 0.1244 (0.1220) loss_contra: 0.0180 (0.0521) time: 2.8582 data: 0.0056 max mem: 31630 Epoch: [1] [3730/5278] eta: 1:14:06 lr: 4.807557869494817e-05 loss: 0.2181 (0.2158) loss_seg: 0.2160 (0.2141) loss_lansim: 0.1259 (0.1220) loss_contra: 0.0160 (0.0520) time: 2.8534 data: 0.0056 max mem: 31630 Epoch: [1] [3740/5278] eta: 1:13:38 lr: 4.807343788480585e-05 loss: 0.2177 (0.2158) loss_seg: 0.2160 (0.2141) loss_lansim: 0.1293 (0.1220) loss_contra: 0.0187 (0.0520) time: 2.8517 data: 0.0057 max mem: 31630 Epoch: [1] [3750/5278] eta: 1:13:09 lr: 4.807129706407071e-05 loss: 0.2181 (0.2158) loss_seg: 0.2160 (0.2141) loss_lansim: 0.1324 (0.1221) loss_contra: 0.0191 (0.0521) time: 2.8484 data: 0.0056 max mem: 31630 Epoch: [1] [3760/5278] eta: 1:12:40 lr: 4.806915623274221e-05 loss: 0.2177 (0.2158) loss_seg: 0.2160 (0.2141) loss_lansim: 0.1343 (0.1221) loss_contra: 0.0195 (0.0521) time: 2.8479 data: 0.0056 max mem: 31630 Epoch: [1] [3770/5278] eta: 1:12:11 lr: 4.806701539081975e-05 loss: 0.2112 (0.2158) loss_seg: 0.2090 (0.2141) loss_lansim: 0.1363 (0.1222) loss_contra: 0.0187 (0.0520) time: 2.8495 data: 0.0056 max mem: 31630 Epoch: [1] [3780/5278] eta: 1:11:42 lr: 4.8064874538302764e-05 loss: 0.2177 (0.2158) loss_seg: 0.2154 (0.2141) loss_lansim: 0.1362 (0.1222) loss_contra: 0.0191 (0.0519) time: 2.8467 data: 0.0057 max mem: 31630 Epoch: [1] [3790/5278] eta: 1:11:13 lr: 4.806273367519067e-05 loss: 0.2112 (0.2158) loss_seg: 0.2090 (0.2141) loss_lansim: 0.1358 (0.1222) loss_contra: 0.0199 (0.0519) time: 2.8539 data: 0.0057 max mem: 31630 Epoch: [1] [3800/5278] eta: 1:10:45 lr: 4.8060592801482887e-05 loss: 0.2104 (0.2158) loss_seg: 0.2071 (0.2141) loss_lansim: 0.1358 (0.1222) loss_contra: 0.0172 (0.0519) time: 2.8478 data: 0.0058 max mem: 31630 Epoch: [1] [3810/5278] eta: 1:10:16 lr: 4.805845191717885e-05 loss: 0.2042 (0.2158) loss_seg: 0.2023 (0.2140) loss_lansim: 0.1324 (0.1222) loss_contra: 0.0167 (0.0519) time: 2.8532 data: 0.0057 max mem: 31630 Epoch: [1] [3820/5278] eta: 1:09:47 lr: 4.8056311022277976e-05 loss: 0.2047 (0.2157) loss_seg: 0.2029 (0.2139) loss_lansim: 0.1276 (0.1221) loss_contra: 0.0134 (0.0518) time: 2.8557 data: 0.0058 max mem: 31630 Epoch: [1] [3830/5278] eta: 1:09:18 lr: 4.805417011677968e-05 loss: 0.2011 (0.2156) loss_seg: 0.1997 (0.2139) loss_lansim: 0.1262 (0.1221) loss_contra: 0.0134 (0.0518) time: 2.8519 data: 0.0059 max mem: 31630 Epoch: [1] [3840/5278] eta: 1:08:49 lr: 4.80520292006834e-05 loss: 0.1988 (0.2156) loss_seg: 0.1975 (0.2138) loss_lansim: 0.1236 (0.1221) loss_contra: 0.0121 (0.0518) time: 2.8467 data: 0.0059 max mem: 31630 Epoch: [1] [3850/5278] eta: 1:08:21 lr: 4.804988827398855e-05 loss: 0.1955 (0.2155) loss_seg: 0.1942 (0.2138) loss_lansim: 0.1222 (0.1221) loss_contra: 0.0118 (0.0517) time: 2.8505 data: 0.0059 max mem: 31630 Epoch: [1] [3860/5278] eta: 1:07:52 lr: 4.804774733669456e-05 loss: 0.1971 (0.2156) loss_seg: 0.1959 (0.2138) loss_lansim: 0.1242 (0.1222) loss_contra: 0.0103 (0.0516) time: 2.8468 data: 0.0060 max mem: 31630 Epoch: [1] [3870/5278] eta: 1:07:23 lr: 4.804560638880084e-05 loss: 0.1994 (0.2156) loss_seg: 0.1977 (0.2138) loss_lansim: 0.1210 (0.1222) loss_contra: 0.0105 (0.0515) time: 2.8469 data: 0.0060 max mem: 31630 Epoch: [1] [3880/5278] eta: 1:06:54 lr: 4.8043465430306824e-05 loss: 0.1994 (0.2156) loss_seg: 0.1977 (0.2139) loss_lansim: 0.1210 (0.1222) loss_contra: 0.0077 (0.0514) time: 2.8497 data: 0.0061 max mem: 31630 Epoch: [1] [3890/5278] eta: 1:06:25 lr: 4.804132446121192e-05 loss: 0.1991 (0.2155) loss_seg: 0.1979 (0.2138) loss_lansim: 0.1208 (0.1222) loss_contra: 0.0060 (0.0513) time: 2.8514 data: 0.0061 max mem: 31630 Epoch: [1] [3900/5278] eta: 1:05:57 lr: 4.803918348151558e-05 loss: 0.1994 (0.2155) loss_seg: 0.1979 (0.2138) loss_lansim: 0.1202 (0.1222) loss_contra: 0.0060 (0.0514) time: 2.8521 data: 0.0060 max mem: 31630 Epoch: [1] [3910/5278] eta: 1:05:28 lr: 4.80370424912172e-05 loss: 0.1980 (0.2155) loss_seg: 0.1968 (0.2137) loss_lansim: 0.1202 (0.1222) loss_contra: 0.0060 (0.0513) time: 2.8481 data: 0.0061 max mem: 31630 Epoch: [1] [3920/5278] eta: 1:04:59 lr: 4.80349014903162e-05 loss: 0.1955 (0.2154) loss_seg: 0.1942 (0.2137) loss_lansim: 0.1210 (0.1222) loss_contra: 0.0061 (0.0514) time: 2.8468 data: 0.0061 max mem: 31630 Epoch: [1] [3930/5278] eta: 1:04:30 lr: 4.803276047881202e-05 loss: 0.1999 (0.2154) loss_seg: 0.1986 (0.2137) loss_lansim: 0.1210 (0.1222) loss_contra: 0.0067 (0.0513) time: 2.8461 data: 0.0061 max mem: 31630 Epoch: [1] [3940/5278] eta: 1:04:01 lr: 4.803061945670408e-05 loss: 0.2040 (0.2154) loss_seg: 0.2025 (0.2137) loss_lansim: 0.1242 (0.1223) loss_contra: 0.0080 (0.0513) time: 2.8502 data: 0.0061 max mem: 31630 Epoch: [1] [3950/5278] eta: 1:03:32 lr: 4.80284784239918e-05 loss: 0.2045 (0.2155) loss_seg: 0.2032 (0.2137) loss_lansim: 0.1257 (0.1223) loss_contra: 0.0068 (0.0513) time: 2.8434 data: 0.0061 max mem: 31630 Epoch: [1] [3960/5278] eta: 1:03:04 lr: 4.802633738067458e-05 loss: 0.2040 (0.2154) loss_seg: 0.2025 (0.2137) loss_lansim: 0.1236 (0.1223) loss_contra: 0.0090 (0.0512) time: 2.8460 data: 0.0060 max mem: 31630 Epoch: [1] [3970/5278] eta: 1:02:35 lr: 4.802419632675188e-05 loss: 0.2040 (0.2154) loss_seg: 0.2025 (0.2137) loss_lansim: 0.1226 (0.1223) loss_contra: 0.0067 (0.0511) time: 2.8489 data: 0.0060 max mem: 31630 Epoch: [1] [3980/5278] eta: 1:02:06 lr: 4.802205526222309e-05 loss: 0.2002 (0.2155) loss_seg: 0.1987 (0.2137) loss_lansim: 0.1224 (0.1223) loss_contra: 0.0098 (0.0511) time: 2.8481 data: 0.0059 max mem: 31630 Epoch: [1] [3990/5278] eta: 1:01:38 lr: 4.801991418708766e-05 loss: 0.1996 (0.2155) loss_seg: 0.1963 (0.2138) loss_lansim: 0.1250 (0.1223) loss_contra: 0.0110 (0.0511) time: 2.8491 data: 0.0060 max mem: 31630 Epoch: [1] [4000/5278] eta: 1:01:09 lr: 4.801777310134499e-05 loss: 0.2002 (0.2156) loss_seg: 0.1987 (0.2138) loss_lansim: 0.1256 (0.1224) loss_contra: 0.0095 (0.0510) time: 2.8478 data: 0.0060 max mem: 31630 Epoch: [1] [4010/5278] eta: 1:00:40 lr: 4.801563200499451e-05 loss: 0.2048 (0.2156) loss_seg: 0.2034 (0.2139) loss_lansim: 0.1256 (0.1224) loss_contra: 0.0075 (0.0509) time: 2.8532 data: 0.0060 max mem: 31630 Epoch: [1] [4020/5278] eta: 1:00:11 lr: 4.801349089803564e-05 loss: 0.2070 (0.2157) loss_seg: 0.2058 (0.2139) loss_lansim: 0.1267 (0.1224) loss_contra: 0.0064 (0.0508) time: 2.8561 data: 0.0059 max mem: 31630 Epoch: [1] [4030/5278] eta: 0:59:43 lr: 4.801134978046781e-05 loss: 0.2111 (0.2157) loss_seg: 0.2090 (0.2140) loss_lansim: 0.1275 (0.1224) loss_contra: 0.0065 (0.0507) time: 2.8593 data: 0.0059 max mem: 31630 Epoch: [1] [4040/5278] eta: 0:59:14 lr: 4.800920865229043e-05 loss: 0.2061 (0.2157) loss_seg: 0.2044 (0.2140) loss_lansim: 0.1270 (0.1224) loss_contra: 0.0054 (0.0507) time: 2.8609 data: 0.0060 max mem: 31630 Epoch: [1] [4050/5278] eta: 0:58:45 lr: 4.800706751350293e-05 loss: 0.2061 (0.2157) loss_seg: 0.2044 (0.2140) loss_lansim: 0.1259 (0.1224) loss_contra: 0.0064 (0.0506) time: 2.8687 data: 0.0060 max mem: 31630 Epoch: [1] [4060/5278] eta: 0:58:17 lr: 4.8004926364104725e-05 loss: 0.2087 (0.2158) loss_seg: 0.2073 (0.2140) loss_lansim: 0.1262 (0.1224) loss_contra: 0.0055 (0.0506) time: 2.8730 data: 0.0060 max mem: 31630 Epoch: [1] [4070/5278] eta: 0:57:48 lr: 4.800278520409524e-05 loss: 0.2087 (0.2158) loss_seg: 0.2073 (0.2140) loss_lansim: 0.1272 (0.1225) loss_contra: 0.0064 (0.0508) time: 2.8668 data: 0.0060 max mem: 31630 Epoch: [1] [4080/5278] eta: 0:57:19 lr: 4.80006440334739e-05 loss: 0.2113 (0.2158) loss_seg: 0.2103 (0.2141) loss_lansim: 0.1276 (0.1225) loss_contra: 0.0065 (0.0508) time: 2.8678 data: 0.0060 max mem: 31630 Epoch: [1] [4090/5278] eta: 0:56:50 lr: 4.7998502852240116e-05 loss: 0.2113 (0.2158) loss_seg: 0.2103 (0.2140) loss_lansim: 0.1287 (0.1226) loss_contra: 0.0072 (0.0508) time: 2.8645 data: 0.0059 max mem: 31630 Epoch: [1] [4100/5278] eta: 0:56:21 lr: 4.799636166039332e-05 loss: 0.2113 (0.2158) loss_seg: 0.2103 (0.2141) loss_lansim: 0.1291 (0.1227) loss_contra: 0.0089 (0.0508) time: 2.8674 data: 0.0059 max mem: 31630 Epoch: [1] [4110/5278] eta: 0:55:53 lr: 4.799422045793292e-05 loss: 0.2125 (0.2159) loss_seg: 0.2112 (0.2142) loss_lansim: 0.1334 (0.1228) loss_contra: 0.0114 (0.0508) time: 2.8630 data: 0.0059 max mem: 31630 Epoch: [1] [4120/5278] eta: 0:55:24 lr: 4.799207924485837e-05 loss: 0.2122 (0.2159) loss_seg: 0.2106 (0.2142) loss_lansim: 0.1393 (0.1228) loss_contra: 0.0137 (0.0508) time: 2.8617 data: 0.0058 max mem: 31630 Epoch: [1] [4130/5278] eta: 0:54:55 lr: 4.798993802116905e-05 loss: 0.2113 (0.2159) loss_seg: 0.2103 (0.2142) loss_lansim: 0.1402 (0.1229) loss_contra: 0.0177 (0.0509) time: 2.8623 data: 0.0058 max mem: 31630 Epoch: [1] [4140/5278] eta: 0:54:26 lr: 4.7987796786864406e-05 loss: 0.2131 (0.2160) loss_seg: 0.2114 (0.2142) loss_lansim: 0.1402 (0.1229) loss_contra: 0.0208 (0.0508) time: 2.8589 data: 0.0057 max mem: 31630 Epoch: [1] [4150/5278] eta: 0:53:58 lr: 4.7985655541943844e-05 loss: 0.2133 (0.2160) loss_seg: 0.2122 (0.2142) loss_lansim: 0.1393 (0.1229) loss_contra: 0.0249 (0.0509) time: 2.8566 data: 0.0057 max mem: 31630 Epoch: [1] [4160/5278] eta: 0:53:29 lr: 4.798351428640681e-05 loss: 0.2126 (0.2160) loss_seg: 0.2112 (0.2142) loss_lansim: 0.1374 (0.1229) loss_contra: 0.0274 (0.0509) time: 2.8555 data: 0.0057 max mem: 31630 Epoch: [1] [4170/5278] eta: 0:53:00 lr: 4.798137302025269e-05 loss: 0.2103 (0.2159) loss_seg: 0.2090 (0.2142) loss_lansim: 0.1374 (0.1229) loss_contra: 0.0339 (0.0511) time: 2.8632 data: 0.0057 max mem: 31630 Epoch: [1] [4180/5278] eta: 0:52:32 lr: 4.7979231743480934e-05 loss: 0.2080 (0.2160) loss_seg: 0.2049 (0.2142) loss_lansim: 0.1374 (0.1229) loss_contra: 0.0370 (0.0511) time: 2.8611 data: 0.0057 max mem: 31630 Epoch: [1] [4190/5278] eta: 0:52:03 lr: 4.7977090456090946e-05 loss: 0.2072 (0.2159) loss_seg: 0.2047 (0.2142) loss_lansim: 0.1279 (0.1229) loss_contra: 0.0377 (0.0512) time: 2.8620 data: 0.0057 max mem: 31630 Epoch: [1] [4200/5278] eta: 0:51:34 lr: 4.797494915808216e-05 loss: 0.2066 (0.2159) loss_seg: 0.2045 (0.2141) loss_lansim: 0.1252 (0.1229) loss_contra: 0.0383 (0.0514) time: 2.8603 data: 0.0057 max mem: 31630 Epoch: [1] [4210/5278] eta: 0:51:05 lr: 4.797280784945398e-05 loss: 0.2072 (0.2159) loss_seg: 0.2047 (0.2142) loss_lansim: 0.1216 (0.1229) loss_contra: 0.0383 (0.0514) time: 2.8643 data: 0.0057 max mem: 31630 Epoch: [1] [4220/5278] eta: 0:50:37 lr: 4.797066653020584e-05 loss: 0.2059 (0.2159) loss_seg: 0.2036 (0.2141) loss_lansim: 0.1184 (0.1229) loss_contra: 0.0370 (0.0513) time: 2.8652 data: 0.0057 max mem: 31630 Epoch: [1] [4230/5278] eta: 0:50:08 lr: 4.796852520033716e-05 loss: 0.1962 (0.2158) loss_seg: 0.1938 (0.2141) loss_lansim: 0.1176 (0.1228) loss_contra: 0.0339 (0.0513) time: 2.8642 data: 0.0056 max mem: 31630 Epoch: [1] [4240/5278] eta: 0:49:39 lr: 4.796638385984736e-05 loss: 0.1951 (0.2158) loss_seg: 0.1928 (0.2141) loss_lansim: 0.1165 (0.1228) loss_contra: 0.0305 (0.0513) time: 2.8650 data: 0.0056 max mem: 31630 Epoch: [1] [4250/5278] eta: 0:49:11 lr: 4.796424250873585e-05 loss: 0.1951 (0.2158) loss_seg: 0.1923 (0.2141) loss_lansim: 0.1165 (0.1228) loss_contra: 0.0243 (0.0512) time: 2.8681 data: 0.0056 max mem: 31630 Epoch: [1] [4260/5278] eta: 0:48:42 lr: 4.796210114700206e-05 loss: 0.1954 (0.2158) loss_seg: 0.1936 (0.2141) loss_lansim: 0.1179 (0.1228) loss_contra: 0.0191 (0.0511) time: 2.8652 data: 0.0056 max mem: 31630 Epoch: [1] [4270/5278] eta: 0:48:13 lr: 4.7959959774645406e-05 loss: 0.1986 (0.2158) loss_seg: 0.1972 (0.2140) loss_lansim: 0.1165 (0.1228) loss_contra: 0.0172 (0.0511) time: 2.8613 data: 0.0057 max mem: 31630 Epoch: [1] [4280/5278] eta: 0:47:44 lr: 4.795781839166532e-05 loss: 0.1931 (0.2157) loss_seg: 0.1918 (0.2140) loss_lansim: 0.1158 (0.1228) loss_contra: 0.0118 (0.0510) time: 2.8591 data: 0.0057 max mem: 31630 Epoch: [1] [4290/5278] eta: 0:47:16 lr: 4.7955676998061205e-05 loss: 0.1951 (0.2157) loss_seg: 0.1923 (0.2140) loss_lansim: 0.1156 (0.1227) loss_contra: 0.0097 (0.0510) time: 2.8630 data: 0.0057 max mem: 31630 Epoch: [1] [4300/5278] eta: 0:46:47 lr: 4.795353559383249e-05 loss: 0.1986 (0.2157) loss_seg: 0.1972 (0.2140) loss_lansim: 0.1139 (0.1227) loss_contra: 0.0108 (0.0510) time: 2.8654 data: 0.0057 max mem: 31630 Epoch: [1] [4310/5278] eta: 0:46:18 lr: 4.795139417897859e-05 loss: 0.1951 (0.2157) loss_seg: 0.1923 (0.2140) loss_lansim: 0.1156 (0.1227) loss_contra: 0.0112 (0.0511) time: 2.8602 data: 0.0058 max mem: 31630 Epoch: [1] [4320/5278] eta: 0:45:50 lr: 4.794925275349894e-05 loss: 0.1995 (0.2158) loss_seg: 0.1982 (0.2140) loss_lansim: 0.1156 (0.1227) loss_contra: 0.0128 (0.0512) time: 2.8637 data: 0.0057 max mem: 31630 Epoch: [1] [4330/5278] eta: 0:45:21 lr: 4.7947111317392946e-05 loss: 0.2028 (0.2158) loss_seg: 0.2014 (0.2140) loss_lansim: 0.1156 (0.1227) loss_contra: 0.0110 (0.0511) time: 2.8652 data: 0.0058 max mem: 31630 Epoch: [1] [4340/5278] eta: 0:44:52 lr: 4.794496987066003e-05 loss: 0.2028 (0.2158) loss_seg: 0.2015 (0.2140) loss_lansim: 0.1158 (0.1227) loss_contra: 0.0104 (0.0510) time: 2.8676 data: 0.0058 max mem: 31630 Epoch: [1] [4350/5278] eta: 0:44:23 lr: 4.7942828413299604e-05 loss: 0.2036 (0.2157) loss_seg: 0.2015 (0.2140) loss_lansim: 0.1158 (0.1227) loss_contra: 0.0104 (0.0510) time: 2.8646 data: 0.0059 max mem: 31630 Epoch: [1] [4360/5278] eta: 0:43:55 lr: 4.794068694531111e-05 loss: 0.2006 (0.2157) loss_seg: 0.1996 (0.2139) loss_lansim: 0.1150 (0.1227) loss_contra: 0.0093 (0.0509) time: 2.8655 data: 0.0059 max mem: 31630 Epoch: [1] [4370/5278] eta: 0:43:26 lr: 4.793854546669395e-05 loss: 0.2005 (0.2157) loss_seg: 0.1995 (0.2140) loss_lansim: 0.1141 (0.1227) loss_contra: 0.0081 (0.0508) time: 2.8698 data: 0.0059 max mem: 31630 Epoch: [1] [4380/5278] eta: 0:42:57 lr: 4.793640397744755e-05 loss: 0.2005 (0.2156) loss_seg: 0.1995 (0.2139) loss_lansim: 0.1150 (0.1227) loss_contra: 0.0083 (0.0507) time: 2.8756 data: 0.0060 max mem: 31630 Epoch: [1] [4390/5278] eta: 0:42:29 lr: 4.793426247757133e-05 loss: 0.2005 (0.2156) loss_seg: 0.1989 (0.2139) loss_lansim: 0.1158 (0.1226) loss_contra: 0.0100 (0.0508) time: 2.8682 data: 0.0059 max mem: 31630 Epoch: [1] [4400/5278] eta: 0:42:00 lr: 4.7932120967064695e-05 loss: 0.1960 (0.2155) loss_seg: 0.1935 (0.2138) loss_lansim: 0.1155 (0.1226) loss_contra: 0.0097 (0.0507) time: 2.8717 data: 0.0058 max mem: 31630 Epoch: [1] [4410/5278] eta: 0:41:31 lr: 4.7929979445927095e-05 loss: 0.1959 (0.2155) loss_seg: 0.1932 (0.2137) loss_lansim: 0.1145 (0.1226) loss_contra: 0.0081 (0.0508) time: 2.8685 data: 0.0058 max mem: 31630 Epoch: [1] [4420/5278] eta: 0:41:02 lr: 4.792783791415792e-05 loss: 0.1949 (0.2154) loss_seg: 0.1932 (0.2137) loss_lansim: 0.1150 (0.1226) loss_contra: 0.0081 (0.0507) time: 2.8682 data: 0.0059 max mem: 31630 Epoch: [1] [4430/5278] eta: 0:40:34 lr: 4.7925696371756604e-05 loss: 0.1948 (0.2156) loss_seg: 0.1927 (0.2138) loss_lansim: 0.1145 (0.1226) loss_contra: 0.0090 (0.0508) time: 2.8635 data: 0.0059 max mem: 31630 Epoch: [1] [4440/5278] eta: 0:40:05 lr: 4.792355481872257e-05 loss: 0.1949 (0.2156) loss_seg: 0.1935 (0.2139) loss_lansim: 0.1145 (0.1226) loss_contra: 0.0090 (0.0507) time: 2.8638 data: 0.0058 max mem: 31630 Epoch: [1] [4450/5278] eta: 0:39:36 lr: 4.792141325505522e-05 loss: 0.1924 (0.2155) loss_seg: 0.1913 (0.2138) loss_lansim: 0.1137 (0.1226) loss_contra: 0.0100 (0.0508) time: 2.8590 data: 0.0058 max mem: 31630 Epoch: [1] [4460/5278] eta: 0:39:07 lr: 4.7919271680753984e-05 loss: 0.1948 (0.2155) loss_seg: 0.1932 (0.2138) loss_lansim: 0.1177 (0.1226) loss_contra: 0.0110 (0.0509) time: 2.8604 data: 0.0058 max mem: 31630 Epoch: [1] [4470/5278] eta: 0:38:39 lr: 4.791713009581828e-05 loss: 0.1995 (0.2155) loss_seg: 0.1984 (0.2138) loss_lansim: 0.1197 (0.1226) loss_contra: 0.0190 (0.0509) time: 2.8604 data: 0.0058 max mem: 31630 Epoch: [1] [4480/5278] eta: 0:38:10 lr: 4.791498850024754e-05 loss: 0.2037 (0.2155) loss_seg: 0.2022 (0.2137) loss_lansim: 0.1197 (0.1226) loss_contra: 0.0194 (0.0509) time: 2.8548 data: 0.0057 max mem: 31630 Epoch: [1] [4490/5278] eta: 0:37:41 lr: 4.791284689404116e-05 loss: 0.2029 (0.2154) loss_seg: 0.2014 (0.2137) loss_lansim: 0.1203 (0.1226) loss_contra: 0.0189 (0.0509) time: 2.8579 data: 0.0057 max mem: 31630 Epoch: [1] [4500/5278] eta: 0:37:13 lr: 4.7910705277198575e-05 loss: 0.2029 (0.2154) loss_seg: 0.2014 (0.2137) loss_lansim: 0.1209 (0.1226) loss_contra: 0.0186 (0.0508) time: 2.8556 data: 0.0057 max mem: 31630 Epoch: [1] [4510/5278] eta: 0:36:44 lr: 4.79085636497192e-05 loss: 0.2037 (0.2154) loss_seg: 0.2022 (0.2136) loss_lansim: 0.1219 (0.1226) loss_contra: 0.0177 (0.0508) time: 2.8603 data: 0.0057 max mem: 31630 Epoch: [1] [4520/5278] eta: 0:36:15 lr: 4.790642201160245e-05 loss: 0.2064 (0.2155) loss_seg: 0.2052 (0.2138) loss_lansim: 0.1219 (0.1226) loss_contra: 0.0177 (0.0508) time: 2.8528 data: 0.0057 max mem: 31630 Epoch: [1] [4530/5278] eta: 0:35:46 lr: 4.7904280362847746e-05 loss: 0.2029 (0.2155) loss_seg: 0.2014 (0.2137) loss_lansim: 0.1228 (0.1226) loss_contra: 0.0165 (0.0507) time: 2.8572 data: 0.0057 max mem: 31630 Epoch: [1] [4540/5278] eta: 0:35:18 lr: 4.790213870345451e-05 loss: 0.2063 (0.2156) loss_seg: 0.2049 (0.2138) loss_lansim: 0.1229 (0.1227) loss_contra: 0.0165 (0.0506) time: 2.8638 data: 0.0057 max mem: 31630 Epoch: [1] [4550/5278] eta: 0:34:49 lr: 4.7899997033422155e-05 loss: 0.2112 (0.2156) loss_seg: 0.2090 (0.2139) loss_lansim: 0.1229 (0.1227) loss_contra: 0.0124 (0.0506) time: 2.8735 data: 0.0057 max mem: 31630 Epoch: [1] [4560/5278] eta: 0:34:20 lr: 4.78978553527501e-05 loss: 0.2112 (0.2156) loss_seg: 0.2098 (0.2139) loss_lansim: 0.1227 (0.1227) loss_contra: 0.0124 (0.0506) time: 2.8665 data: 0.0058 max mem: 31630 Epoch: [1] [4570/5278] eta: 0:33:52 lr: 4.7895713661437774e-05 loss: 0.2063 (0.2156) loss_seg: 0.2049 (0.2139) loss_lansim: 0.1227 (0.1227) loss_contra: 0.0124 (0.0506) time: 2.8668 data: 0.0058 max mem: 31630 Epoch: [1] [4580/5278] eta: 0:33:23 lr: 4.789357195948458e-05 loss: 0.2090 (0.2155) loss_seg: 0.2071 (0.2138) loss_lansim: 0.1239 (0.1228) loss_contra: 0.0144 (0.0506) time: 2.8710 data: 0.0059 max mem: 31630 Epoch: [1] [4590/5278] eta: 0:32:54 lr: 4.789143024688995e-05 loss: 0.1993 (0.2155) loss_seg: 0.1980 (0.2137) loss_lansim: 0.1249 (0.1228) loss_contra: 0.0142 (0.0506) time: 2.8712 data: 0.0060 max mem: 31630 Epoch: [1] [4600/5278] eta: 0:32:26 lr: 4.788928852365329e-05 loss: 0.1966 (0.2154) loss_seg: 0.1953 (0.2136) loss_lansim: 0.1266 (0.1228) loss_contra: 0.0124 (0.0506) time: 2.8718 data: 0.0060 max mem: 31630 Epoch: [1] [4610/5278] eta: 0:31:57 lr: 4.7887146789774025e-05 loss: 0.1966 (0.2153) loss_seg: 0.1953 (0.2136) loss_lansim: 0.1277 (0.1228) loss_contra: 0.0141 (0.0506) time: 2.8688 data: 0.0061 max mem: 31630 Epoch: [1] [4620/5278] eta: 0:31:28 lr: 4.7885005045251577e-05 loss: 0.1915 (0.2153) loss_seg: 0.1901 (0.2136) loss_lansim: 0.1269 (0.1228) loss_contra: 0.0113 (0.0506) time: 2.8696 data: 0.0061 max mem: 31630 Epoch: [1] [4630/5278] eta: 0:30:59 lr: 4.788286329008535e-05 loss: 0.1939 (0.2154) loss_seg: 0.1911 (0.2136) loss_lansim: 0.1257 (0.1228) loss_contra: 0.0118 (0.0505) time: 2.8680 data: 0.0061 max mem: 31630 Epoch: [1] [4640/5278] eta: 0:30:31 lr: 4.7880721524274785e-05 loss: 0.1883 (0.2154) loss_seg: 0.1867 (0.2136) loss_lansim: 0.1241 (0.1228) loss_contra: 0.0109 (0.0505) time: 2.8634 data: 0.0063 max mem: 31630 Epoch: [1] [4650/5278] eta: 0:30:02 lr: 4.787857974781928e-05 loss: 0.1868 (0.2153) loss_seg: 0.1854 (0.2136) loss_lansim: 0.1232 (0.1228) loss_contra: 0.0113 (0.0505) time: 2.8665 data: 0.0063 max mem: 31630 Epoch: [1] [4660/5278] eta: 0:29:33 lr: 4.787643796071827e-05 loss: 0.1860 (0.2152) loss_seg: 0.1845 (0.2135) loss_lansim: 0.1229 (0.1228) loss_contra: 0.0102 (0.0504) time: 2.8732 data: 0.0063 max mem: 31630 Epoch: [1] [4670/5278] eta: 0:29:05 lr: 4.787429616297116e-05 loss: 0.1860 (0.2152) loss_seg: 0.1845 (0.2135) loss_lansim: 0.1217 (0.1228) loss_contra: 0.0102 (0.0504) time: 2.8636 data: 0.0063 max mem: 31630 Epoch: [1] [4680/5278] eta: 0:28:36 lr: 4.7872154354577356e-05 loss: 0.1847 (0.2152) loss_seg: 0.1832 (0.2134) loss_lansim: 0.1209 (0.1227) loss_contra: 0.0097 (0.0503) time: 2.8655 data: 0.0062 max mem: 31630 Epoch: [1] [4690/5278] eta: 0:28:07 lr: 4.787001253553631e-05 loss: 0.1911 (0.2152) loss_seg: 0.1896 (0.2134) loss_lansim: 0.1184 (0.1227) loss_contra: 0.0088 (0.0503) time: 2.8655 data: 0.0062 max mem: 31630 Epoch: [1] [4700/5278] eta: 0:27:39 lr: 4.786787070584741e-05 loss: 0.1915 (0.2151) loss_seg: 0.1901 (0.2134) loss_lansim: 0.1176 (0.1227) loss_contra: 0.0088 (0.0503) time: 2.8680 data: 0.0062 max mem: 31630 Epoch: [1] [4710/5278] eta: 0:27:10 lr: 4.7865728865510085e-05 loss: 0.1915 (0.2151) loss_seg: 0.1901 (0.2133) loss_lansim: 0.1180 (0.1227) loss_contra: 0.0088 (0.0503) time: 2.8667 data: 0.0062 max mem: 31630 Epoch: [1] [4720/5278] eta: 0:26:41 lr: 4.7863587014523753e-05 loss: 0.1923 (0.2151) loss_seg: 0.1909 (0.2133) loss_lansim: 0.1189 (0.1228) loss_contra: 0.0097 (0.0503) time: 2.8723 data: 0.0062 max mem: 31630 Epoch: [1] [4730/5278] eta: 0:26:12 lr: 4.7861445152887826e-05 loss: 0.1856 (0.2150) loss_seg: 0.1835 (0.2133) loss_lansim: 0.1195 (0.1228) loss_contra: 0.0101 (0.0502) time: 2.8752 data: 0.0062 max mem: 31630 Epoch: [1] [4740/5278] eta: 0:25:44 lr: 4.785930328060173e-05 loss: 0.1866 (0.2151) loss_seg: 0.1842 (0.2133) loss_lansim: 0.1218 (0.1228) loss_contra: 0.0102 (0.0503) time: 2.8705 data: 0.0061 max mem: 31630 Epoch: [1] [4750/5278] eta: 0:25:15 lr: 4.7857161397664886e-05 loss: 0.1910 (0.2150) loss_seg: 0.1895 (0.2133) loss_lansim: 0.1219 (0.1228) loss_contra: 0.0106 (0.0502) time: 2.8671 data: 0.0060 max mem: 31630 Epoch: [1] [4760/5278] eta: 0:24:46 lr: 4.7855019504076693e-05 loss: 0.1874 (0.2149) loss_seg: 0.1854 (0.2132) loss_lansim: 0.1235 (0.1228) loss_contra: 0.0105 (0.0502) time: 2.8595 data: 0.0060 max mem: 31630 Epoch: [1] [4770/5278] eta: 0:24:17 lr: 4.785287759983658e-05 loss: 0.1874 (0.2150) loss_seg: 0.1854 (0.2133) loss_lansim: 0.1235 (0.1228) loss_contra: 0.0092 (0.0501) time: 2.8625 data: 0.0059 max mem: 31630 Epoch: [1] [4780/5278] eta: 0:23:49 lr: 4.785073568494397e-05 loss: 0.1880 (0.2150) loss_seg: 0.1862 (0.2132) loss_lansim: 0.1235 (0.1228) loss_contra: 0.0087 (0.0501) time: 2.8612 data: 0.0059 max mem: 31630 Epoch: [1] [4790/5278] eta: 0:23:20 lr: 4.784859375939827e-05 loss: 0.1920 (0.2150) loss_seg: 0.1904 (0.2133) loss_lansim: 0.1233 (0.1227) loss_contra: 0.0087 (0.0501) time: 2.8590 data: 0.0058 max mem: 31630 Epoch: [1] [4800/5278] eta: 0:22:51 lr: 4.784645182319889e-05 loss: 0.2000 (0.2150) loss_seg: 0.1989 (0.2132) loss_lansim: 0.1233 (0.1227) loss_contra: 0.0087 (0.0501) time: 2.8561 data: 0.0058 max mem: 31630 Epoch: [1] [4810/5278] eta: 0:22:23 lr: 4.784430987634527e-05 loss: 0.2045 (0.2149) loss_seg: 0.2032 (0.2132) loss_lansim: 0.1232 (0.1227) loss_contra: 0.0104 (0.0501) time: 2.8625 data: 0.0057 max mem: 31630 Epoch: [1] [4820/5278] eta: 0:21:54 lr: 4.784216791883682e-05 loss: 0.2000 (0.2150) loss_seg: 0.1989 (0.2133) loss_lansim: 0.1225 (0.1228) loss_contra: 0.0113 (0.0501) time: 2.8597 data: 0.0057 max mem: 31630 Epoch: [1] [4830/5278] eta: 0:21:25 lr: 4.784002595067295e-05 loss: 0.2075 (0.2150) loss_seg: 0.2054 (0.2133) loss_lansim: 0.1214 (0.1227) loss_contra: 0.0104 (0.0500) time: 2.8565 data: 0.0057 max mem: 31630 Epoch: [1] [4840/5278] eta: 0:20:57 lr: 4.783788397185306e-05 loss: 0.2000 (0.2149) loss_seg: 0.1989 (0.2132) loss_lansim: 0.1216 (0.1228) loss_contra: 0.0104 (0.0500) time: 2.8574 data: 0.0057 max mem: 31630 Epoch: [1] [4850/5278] eta: 0:20:28 lr: 4.78357419823766e-05 loss: 0.2000 (0.2149) loss_seg: 0.1989 (0.2132) loss_lansim: 0.1214 (0.1227) loss_contra: 0.0105 (0.0500) time: 2.8475 data: 0.0057 max mem: 31630 Epoch: [1] [4860/5278] eta: 0:19:59 lr: 4.783359998224298e-05 loss: 0.2063 (0.2150) loss_seg: 0.2045 (0.2132) loss_lansim: 0.1179 (0.1228) loss_contra: 0.0131 (0.0503) time: 2.8514 data: 0.0057 max mem: 31630 Epoch: [1] [4870/5278] eta: 0:19:30 lr: 4.783145797145159e-05 loss: 0.2045 (0.2150) loss_seg: 0.2032 (0.2132) loss_lansim: 0.1196 (0.1227) loss_contra: 0.0144 (0.0502) time: 2.8494 data: 0.0057 max mem: 31630 Epoch: [1] [4880/5278] eta: 0:19:02 lr: 4.782931595000188e-05 loss: 0.2056 (0.2150) loss_seg: 0.2041 (0.2132) loss_lansim: 0.1179 (0.1227) loss_contra: 0.0174 (0.0502) time: 2.8477 data: 0.0057 max mem: 31630 Epoch: [1] [4890/5278] eta: 0:18:33 lr: 4.7827173917893245e-05 loss: 0.2056 (0.2150) loss_seg: 0.2041 (0.2133) loss_lansim: 0.1199 (0.1227) loss_contra: 0.0183 (0.0503) time: 2.8535 data: 0.0057 max mem: 31630 Epoch: [1] [4900/5278] eta: 0:18:04 lr: 4.782503187512511e-05 loss: 0.2052 (0.2150) loss_seg: 0.2033 (0.2133) loss_lansim: 0.1176 (0.1227) loss_contra: 0.0199 (0.0504) time: 2.8523 data: 0.0056 max mem: 31630 Epoch: [1] [4910/5278] eta: 0:17:35 lr: 4.782288982169689e-05 loss: 0.2073 (0.2151) loss_seg: 0.2057 (0.2133) loss_lansim: 0.1176 (0.1227) loss_contra: 0.0217 (0.0505) time: 2.8442 data: 0.0056 max mem: 31630 Epoch: [1] [4920/5278] eta: 0:17:07 lr: 4.7820747757608e-05 loss: 0.2052 (0.2151) loss_seg: 0.2035 (0.2134) loss_lansim: 0.1155 (0.1227) loss_contra: 0.0202 (0.0506) time: 2.8388 data: 0.0056 max mem: 31630 Epoch: [1] [4930/5278] eta: 0:16:38 lr: 4.781860568285787e-05 loss: 0.2056 (0.2151) loss_seg: 0.2041 (0.2134) loss_lansim: 0.1148 (0.1226) loss_contra: 0.0283 (0.0507) time: 2.8379 data: 0.0056 max mem: 31630 Epoch: [1] [4940/5278] eta: 0:16:09 lr: 4.7816463597445884e-05 loss: 0.2087 (0.2151) loss_seg: 0.2073 (0.2134) loss_lansim: 0.1130 (0.1226) loss_contra: 0.0293 (0.0508) time: 2.8421 data: 0.0057 max mem: 31630 Epoch: [1] [4950/5278] eta: 0:15:41 lr: 4.78143215013715e-05 loss: 0.2073 (0.2150) loss_seg: 0.2057 (0.2133) loss_lansim: 0.1129 (0.1226) loss_contra: 0.0283 (0.0507) time: 2.8481 data: 0.0057 max mem: 31630 Epoch: [1] [4960/5278] eta: 0:15:12 lr: 4.78121793946341e-05 loss: 0.2073 (0.2150) loss_seg: 0.2057 (0.2133) loss_lansim: 0.1113 (0.1226) loss_contra: 0.0278 (0.0507) time: 2.8461 data: 0.0057 max mem: 31630 Epoch: [1] [4970/5278] eta: 0:14:43 lr: 4.781003727723311e-05 loss: 0.2089 (0.2150) loss_seg: 0.2073 (0.2133) loss_lansim: 0.1105 (0.1225) loss_contra: 0.0278 (0.0506) time: 2.8492 data: 0.0056 max mem: 31630 Epoch: [1] [4980/5278] eta: 0:14:15 lr: 4.780789514916795e-05 loss: 0.2048 (0.2150) loss_seg: 0.2035 (0.2132) loss_lansim: 0.1088 (0.1225) loss_contra: 0.0277 (0.0506) time: 2.8473 data: 0.0056 max mem: 31630 Epoch: [1] [4990/5278] eta: 0:13:46 lr: 4.780575301043805e-05 loss: 0.2033 (0.2149) loss_seg: 0.2019 (0.2132) loss_lansim: 0.1042 (0.1224) loss_contra: 0.0275 (0.0505) time: 2.8419 data: 0.0057 max mem: 31630 Epoch: [1] [5000/5278] eta: 0:13:17 lr: 4.7803610861042796e-05 loss: 0.2006 (0.2149) loss_seg: 0.1997 (0.2132) loss_lansim: 0.1030 (0.1223) loss_contra: 0.0200 (0.0504) time: 2.8402 data: 0.0057 max mem: 31630 Epoch: [1] [5010/5278] eta: 0:12:48 lr: 4.780146870098162e-05 loss: 0.1973 (0.2150) loss_seg: 0.1956 (0.2133) loss_lansim: 0.1016 (0.1223) loss_contra: 0.0174 (0.0504) time: 2.8448 data: 0.0058 max mem: 31630 Epoch: [1] [5020/5278] eta: 0:12:20 lr: 4.7799326530253934e-05 loss: 0.1974 (0.2150) loss_seg: 0.1960 (0.2133) loss_lansim: 0.1020 (0.1223) loss_contra: 0.0156 (0.0504) time: 2.8437 data: 0.0057 max mem: 31630 Epoch: [1] [5030/5278] eta: 0:11:51 lr: 4.7797184348859166e-05 loss: 0.1973 (0.2150) loss_seg: 0.1960 (0.2132) loss_lansim: 0.1009 (0.1223) loss_contra: 0.0141 (0.0505) time: 2.8390 data: 0.0057 max mem: 31630 Epoch: [1] [5040/5278] eta: 0:11:22 lr: 4.7795042156796716e-05 loss: 0.1999 (0.2150) loss_seg: 0.1982 (0.2132) loss_lansim: 0.1025 (0.1222) loss_contra: 0.0141 (0.0505) time: 2.8322 data: 0.0056 max mem: 31630 Epoch: [1] [5050/5278] eta: 0:10:54 lr: 4.779289995406601e-05 loss: 0.1950 (0.2150) loss_seg: 0.1938 (0.2133) loss_lansim: 0.1028 (0.1222) loss_contra: 0.0143 (0.0504) time: 2.8288 data: 0.0056 max mem: 31630 Epoch: [1] [5060/5278] eta: 0:10:25 lr: 4.7790757740666445e-05 loss: 0.1940 (0.2149) loss_seg: 0.1925 (0.2132) loss_lansim: 0.1042 (0.1222) loss_contra: 0.0156 (0.0505) time: 2.8289 data: 0.0056 max mem: 31630 Epoch: [1] [5070/5278] eta: 0:09:56 lr: 4.7788615516597466e-05 loss: 0.1967 (0.2150) loss_seg: 0.1957 (0.2133) loss_lansim: 0.1059 (0.1222) loss_contra: 0.0193 (0.0506) time: 2.8258 data: 0.0056 max mem: 31630 Epoch: [1] [5080/5278] eta: 0:09:27 lr: 4.778647328185846e-05 loss: 0.2000 (0.2150) loss_seg: 0.1989 (0.2133) loss_lansim: 0.1096 (0.1222) loss_contra: 0.0216 (0.0508) time: 2.8250 data: 0.0057 max mem: 31630 Epoch: [1] [5090/5278] eta: 0:08:59 lr: 4.7784331036448865e-05 loss: 0.2048 (0.2150) loss_seg: 0.2036 (0.2133) loss_lansim: 0.1124 (0.1222) loss_contra: 0.0258 (0.0510) time: 2.8335 data: 0.0057 max mem: 31630 Epoch: [1] [5100/5278] eta: 0:08:30 lr: 4.778218878036808e-05 loss: 0.2037 (0.2150) loss_seg: 0.2023 (0.2132) loss_lansim: 0.1134 (0.1222) loss_contra: 0.0353 (0.0511) time: 2.8307 data: 0.0058 max mem: 31630 Epoch: [1] [5110/5278] eta: 0:08:01 lr: 4.778004651361554e-05 loss: 0.2037 (0.2149) loss_seg: 0.2016 (0.2132) loss_lansim: 0.1134 (0.1222) loss_contra: 0.0353 (0.0511) time: 2.8303 data: 0.0058 max mem: 31630 Epoch: [1] [5120/5278] eta: 0:07:33 lr: 4.777790423619064e-05 loss: 0.1983 (0.2149) loss_seg: 0.1964 (0.2131) loss_lansim: 0.1134 (0.1222) loss_contra: 0.0401 (0.0511) time: 2.8306 data: 0.0058 max mem: 31630 Epoch: [1] [5130/5278] eta: 0:07:04 lr: 4.777576194809279e-05 loss: 0.1967 (0.2148) loss_seg: 0.1957 (0.2131) loss_lansim: 0.1134 (0.1222) loss_contra: 0.0445 (0.0512) time: 2.8420 data: 0.0059 max mem: 31630 Epoch: [1] [5140/5278] eta: 0:06:35 lr: 4.777361964932143e-05 loss: 0.1954 (0.2148) loss_seg: 0.1940 (0.2131) loss_lansim: 0.1133 (0.1221) loss_contra: 0.0353 (0.0512) time: 2.8400 data: 0.0060 max mem: 31630 Epoch: [1] [5150/5278] eta: 0:06:07 lr: 4.777147733987595e-05 loss: 0.2008 (0.2148) loss_seg: 0.1983 (0.2131) loss_lansim: 0.1134 (0.1221) loss_contra: 0.0333 (0.0511) time: 2.8421 data: 0.0061 max mem: 31630 Epoch: [1] [5160/5278] eta: 0:05:38 lr: 4.7769335019755796e-05 loss: 0.2008 (0.2148) loss_seg: 0.1983 (0.2131) loss_lansim: 0.1121 (0.1221) loss_contra: 0.0226 (0.0511) time: 2.8412 data: 0.0061 max mem: 31630 Epoch: [1] [5170/5278] eta: 0:05:09 lr: 4.776719268896035e-05 loss: 0.1983 (0.2149) loss_seg: 0.1973 (0.2131) loss_lansim: 0.1121 (0.1221) loss_contra: 0.0219 (0.0511) time: 2.8432 data: 0.0062 max mem: 31630 Epoch: [1] [5180/5278] eta: 0:04:41 lr: 4.7765050347489044e-05 loss: 0.1954 (0.2148) loss_seg: 0.1940 (0.2131) loss_lansim: 0.1123 (0.1221) loss_contra: 0.0219 (0.0511) time: 2.8431 data: 0.0062 max mem: 31630 Epoch: [1] [5190/5278] eta: 0:04:12 lr: 4.776290799534129e-05 loss: 0.1914 (0.2148) loss_seg: 0.1894 (0.2131) loss_lansim: 0.1121 (0.1221) loss_contra: 0.0193 (0.0512) time: 2.8387 data: 0.0061 max mem: 31630 Epoch: [1] [5200/5278] eta: 0:03:43 lr: 4.776076563251651e-05 loss: 0.1942 (0.2148) loss_seg: 0.1916 (0.2130) loss_lansim: 0.1136 (0.1221) loss_contra: 0.0153 (0.0511) time: 2.8383 data: 0.0061 max mem: 31630 Epoch: [1] [5210/5278] eta: 0:03:15 lr: 4.775862325901409e-05 loss: 0.1953 (0.2148) loss_seg: 0.1934 (0.2130) loss_lansim: 0.1160 (0.1221) loss_contra: 0.0155 (0.0511) time: 2.8418 data: 0.0060 max mem: 31630 Epoch: [1] [5220/5278] eta: 0:02:46 lr: 4.7756480874833485e-05 loss: 0.1953 (0.2147) loss_seg: 0.1940 (0.2130) loss_lansim: 0.1182 (0.1221) loss_contra: 0.0158 (0.0511) time: 2.8454 data: 0.0061 max mem: 31630 Epoch: [1] [5230/5278] eta: 0:02:17 lr: 4.775433847997409e-05 loss: 0.1978 (0.2147) loss_seg: 0.1964 (0.2129) loss_lansim: 0.1174 (0.1221) loss_contra: 0.0153 (0.0510) time: 2.8386 data: 0.0061 max mem: 31630 Epoch: [1] [5240/5278] eta: 0:01:48 lr: 4.775219607443531e-05 loss: 0.1983 (0.2147) loss_seg: 0.1973 (0.2130) loss_lansim: 0.1184 (0.1221) loss_contra: 0.0135 (0.0510) time: 2.8349 data: 0.0060 max mem: 31630 Epoch: [1] [5250/5278] eta: 0:01:20 lr: 4.775005365821658e-05 loss: 0.1978 (0.2147) loss_seg: 0.1966 (0.2130) loss_lansim: 0.1182 (0.1221) loss_contra: 0.0177 (0.0510) time: 2.8385 data: 0.0060 max mem: 31630 Epoch: [1] [5260/5278] eta: 0:00:51 lr: 4.7747911231317285e-05 loss: 0.1981 (0.2147) loss_seg: 0.1966 (0.2130) loss_lansim: 0.1184 (0.1221) loss_contra: 0.0155 (0.0509) time: 2.8399 data: 0.0059 max mem: 31630 Epoch: [1] [5270/5278] eta: 0:00:22 lr: 4.7745768793736874e-05 loss: 0.1978 (0.2147) loss_seg: 0.1964 (0.2130) loss_lansim: 0.1184 (0.1221) loss_contra: 0.0149 (0.0509) time: 2.8374 data: 0.0058 max mem: 31630 Epoch: [1] Total time: 4:12:14 Test: [ 0/2573] eta: 0:49:43 time: 1.1595 data: 0.9861 max mem: 31630 Test: [ 100/2573] eta: 0:06:14 time: 0.1415 data: 0.0016 max mem: 31630 Test: [ 200/2573] eta: 0:05:53 time: 0.1467 data: 0.0016 max mem: 31630 Test: [ 300/2573] eta: 0:05:33 time: 0.1419 data: 0.0016 max mem: 31630 Test: [ 400/2573] eta: 0:05:17 time: 0.1443 data: 0.0016 max mem: 31630 Test: [ 500/2573] eta: 0:05:02 time: 0.1441 data: 0.0016 max mem: 31630 Test: [ 600/2573] eta: 0:04:47 time: 0.1460 data: 0.0016 max mem: 31630 Test: [ 700/2573] eta: 0:04:33 time: 0.1492 data: 0.0016 max mem: 31630 Test: [ 800/2573] eta: 0:04:19 time: 0.1461 data: 0.0016 max mem: 31630 Test: [ 900/2573] eta: 0:04:04 time: 0.1465 data: 0.0016 max mem: 31630 Test: [1000/2573] eta: 0:03:49 time: 0.1445 data: 0.0016 max mem: 31630 Test: [1100/2573] eta: 0:03:34 time: 0.1440 data: 0.0016 max mem: 31630 Test: [1200/2573] eta: 0:03:20 time: 0.1468 data: 0.0016 max mem: 31630 Test: [1300/2573] eta: 0:03:05 time: 0.1447 data: 0.0016 max mem: 31630 Test: [1400/2573] eta: 0:02:50 time: 0.1410 data: 0.0016 max mem: 31630 Test: [1500/2573] eta: 0:02:36 time: 0.1460 data: 0.0016 max mem: 31630 Test: [1600/2573] eta: 0:02:21 time: 0.1447 data: 0.0016 max mem: 31630 Test: [1700/2573] eta: 0:02:07 time: 0.1456 data: 0.0016 max mem: 31630 Test: [1800/2573] eta: 0:01:52 time: 0.1428 data: 0.0016 max mem: 31630 Test: [1900/2573] eta: 0:01:37 time: 0.1410 data: 0.0016 max mem: 31630 Test: [2000/2573] eta: 0:01:23 time: 0.1414 data: 0.0016 max mem: 31630 Test: [2100/2573] eta: 0:01:08 time: 0.1454 data: 0.0016 max mem: 31630 Test: [2200/2573] eta: 0:00:53 time: 0.1403 data: 0.0016 max mem: 31630 Test: [2300/2573] eta: 0:00:39 time: 0.1455 data: 0.0016 max mem: 31630 Test: [2400/2573] eta: 0:00:25 time: 0.1432 data: 0.0015 max mem: 31630 Test: [2500/2573] eta: 0:00:10 time: 0.1458 data: 0.0016 max mem: 31630 Test: Total time: 0:06:12 Final results: precision@0.5 = 34.48 precision@0.6 = 26.47 precision@0.7 = 18.06 precision@0.8 = 10.58 precision@0.9 = 2.66 overall IoU = 39.61 mean IoU = 34.89 Better epoch: 1 The best_performance is 39.60762396282824 Epoch: [2] [ 0/5278] eta: 6:36:15 lr: 4.7744054835981725e-05 loss: 0.1489 (0.1489) loss_seg: 0.1478 (0.1478) loss_lansim: 0.1024 (0.1024) loss_contra: 0.0117 (0.0117) time: 4.5046 data: 1.4592 max mem: 31630 Epoch: [2] [ 10/5278] eta: 4:19:34 lr: 4.7741912379173795e-05 loss: 0.1930 (0.1913) loss_seg: 0.1918 (0.1899) loss_lansim: 0.1179 (0.1156) loss_contra: 0.0185 (0.0249) time: 2.9563 data: 0.1370 max mem: 31630 Epoch: [2] [ 20/5278] eta: 4:14:38 lr: 4.77397699116831e-05 loss: 0.1909 (0.1958) loss_seg: 0.1897 (0.1945) loss_lansim: 0.1144 (0.1142) loss_contra: 0.0084 (0.0201) time: 2.9057 data: 0.0740 max mem: 31630 Epoch: [2] [ 30/5278] eta: 4:11:19 lr: 4.773762743350903e-05 loss: 0.1997 (0.2154) loss_seg: 0.1975 (0.2140) loss_lansim: 0.1178 (0.1194) loss_contra: 0.0084 (0.0208) time: 2.8733 data: 0.0519 max mem: 31630 Epoch: [2] [ 40/5278] eta: 4:10:05 lr: 4.773548494465102e-05 loss: 0.1983 (0.2115) loss_seg: 0.1965 (0.2101) loss_lansim: 0.1217 (0.1224) loss_contra: 0.0072 (0.0201) time: 2.8647 data: 0.0405 max mem: 31630 Epoch: [2] [ 50/5278] eta: 4:09:04 lr: 4.773334244510848e-05 loss: 0.1992 (0.2160) loss_seg: 0.1975 (0.2145) loss_lansim: 0.1223 (0.1237) loss_contra: 0.0084 (0.0250) time: 2.8585 data: 0.0336 max mem: 31630 Epoch: [2] [ 60/5278] eta: 4:08:24 lr: 4.773119993488083e-05 loss: 0.1972 (0.2103) loss_seg: 0.1956 (0.2088) loss_lansim: 0.1239 (0.1271) loss_contra: 0.0084 (0.0271) time: 2.8563 data: 0.0291 max mem: 31630 Epoch: [2] [ 70/5278] eta: 4:07:53 lr: 4.772905741396747e-05 loss: 0.1966 (0.2050) loss_seg: 0.1950 (0.2034) loss_lansim: 0.1240 (0.1271) loss_contra: 0.0084 (0.0274) time: 2.8559 data: 0.0258 max mem: 31630 Epoch: [2] [ 80/5278] eta: 4:07:37 lr: 4.772691488236782e-05 loss: 0.1931 (0.2023) loss_seg: 0.1918 (0.2008) loss_lansim: 0.1252 (0.1277) loss_contra: 0.0084 (0.0268) time: 2.8584 data: 0.0234 max mem: 31630 Epoch: [2] [ 90/5278] eta: 4:06:50 lr: 4.772477234008129e-05 loss: 0.1930 (0.2022) loss_seg: 0.1911 (0.2006) loss_lansim: 0.1239 (0.1270) loss_contra: 0.0086 (0.0300) time: 2.8548 data: 0.0215 max mem: 31630 Epoch: [2] [ 100/5278] eta: 4:06:13 lr: 4.7722629787107306e-05 loss: 0.1930 (0.2009) loss_seg: 0.1909 (0.1993) loss_lansim: 0.1240 (0.1273) loss_contra: 0.0084 (0.0290) time: 2.8367 data: 0.0056 max mem: 31630 Epoch: [2] [ 110/5278] eta: 4:05:34 lr: 4.772048722344527e-05 loss: 0.1928 (0.2008) loss_seg: 0.1905 (0.1992) loss_lansim: 0.1252 (0.1277) loss_contra: 0.0070 (0.0272) time: 2.8395 data: 0.0056 max mem: 31630 Epoch: [2] [ 120/5278] eta: 4:05:13 lr: 4.7718344649094596e-05 loss: 0.1898 (0.1998) loss_seg: 0.1888 (0.1983) loss_lansim: 0.1251 (0.1265) loss_contra: 0.0073 (0.0267) time: 2.8415 data: 0.0057 max mem: 31630 Epoch: [2] [ 130/5278] eta: 4:05:06 lr: 4.7716202064054706e-05 loss: 0.1826 (0.1984) loss_seg: 0.1815 (0.1968) loss_lansim: 0.1245 (0.1257) loss_contra: 0.0097 (0.0269) time: 2.8516 data: 0.0056 max mem: 31630 Epoch: [2] [ 140/5278] eta: 4:04:33 lr: 4.7714059468325e-05 loss: 0.1818 (0.1972) loss_seg: 0.1804 (0.1956) loss_lansim: 0.1227 (0.1247) loss_contra: 0.0097 (0.0273) time: 2.8522 data: 0.0056 max mem: 31630 Epoch: [2] [ 150/5278] eta: 4:04:11 lr: 4.771191686190491e-05 loss: 0.1857 (0.2017) loss_seg: 0.1842 (0.2002) loss_lansim: 0.1227 (0.1245) loss_contra: 0.0097 (0.0272) time: 2.8566 data: 0.0056 max mem: 31630 Epoch: [2] [ 160/5278] eta: 4:03:54 lr: 4.7709774244793834e-05 loss: 0.1829 (0.2011) loss_seg: 0.1814 (0.1996) loss_lansim: 0.1216 (0.1253) loss_contra: 0.0081 (0.0268) time: 2.8613 data: 0.0055 max mem: 31630 Epoch: [2] [ 170/5278] eta: 4:03:24 lr: 4.770763161699118e-05 loss: 0.1826 (0.1997) loss_seg: 0.1810 (0.1981) loss_lansim: 0.1227 (0.1264) loss_contra: 0.0097 (0.0264) time: 2.8614 data: 0.0055 max mem: 31630 Epoch: [2] [ 180/5278] eta: 4:02:53 lr: 4.770548897849638e-05 loss: 0.1857 (0.2003) loss_seg: 0.1842 (0.1988) loss_lansim: 0.1245 (0.1274) loss_contra: 0.0106 (0.0271) time: 2.8587 data: 0.0054 max mem: 31630 Epoch: [2] [ 190/5278] eta: 4:02:27 lr: 4.770334632930883e-05 loss: 0.1829 (0.1989) loss_seg: 0.1813 (0.1973) loss_lansim: 0.1255 (0.1276) loss_contra: 0.0097 (0.0271) time: 2.8632 data: 0.0054 max mem: 31630 Epoch: [2] [ 200/5278] eta: 4:02:05 lr: 4.770120366942796e-05 loss: 0.1826 (0.1987) loss_seg: 0.1810 (0.1971) loss_lansim: 0.1255 (0.1275) loss_contra: 0.0102 (0.0269) time: 2.8677 data: 0.0054 max mem: 31630 Epoch: [2] [ 210/5278] eta: 4:01:39 lr: 4.7699060998853164e-05 loss: 0.1802 (0.1977) loss_seg: 0.1787 (0.1962) loss_lansim: 0.1229 (0.1270) loss_contra: 0.0102 (0.0266) time: 2.8722 data: 0.0054 max mem: 31630 Epoch: [2] [ 220/5278] eta: 4:01:12 lr: 4.769691831758387e-05 loss: 0.1829 (0.1976) loss_seg: 0.1810 (0.1960) loss_lansim: 0.1216 (0.1260) loss_contra: 0.0106 (0.0276) time: 2.8717 data: 0.0054 max mem: 31630 Epoch: [2] [ 230/5278] eta: 4:00:35 lr: 4.7694775625619485e-05 loss: 0.1833 (0.1979) loss_seg: 0.1819 (0.1964) loss_lansim: 0.1208 (0.1249) loss_contra: 0.0102 (0.0271) time: 2.8635 data: 0.0055 max mem: 31630 Epoch: [2] [ 240/5278] eta: 4:00:06 lr: 4.769263292295942e-05 loss: 0.1867 (0.1983) loss_seg: 0.1845 (0.1968) loss_lansim: 0.1214 (0.1244) loss_contra: 0.0106 (0.0277) time: 2.8650 data: 0.0055 max mem: 31630 Epoch: [2] [ 250/5278] eta: 3:59:36 lr: 4.7690490209603086e-05 loss: 0.1867 (0.1995) loss_seg: 0.1845 (0.1980) loss_lansim: 0.1206 (0.1237) loss_contra: 0.0099 (0.0282) time: 2.8625 data: 0.0055 max mem: 31630 Epoch: [2] [ 260/5278] eta: 3:59:08 lr: 4.76883474855499e-05 loss: 0.1902 (0.2009) loss_seg: 0.1892 (0.1993) loss_lansim: 0.1180 (0.1233) loss_contra: 0.0108 (0.0299) time: 2.8594 data: 0.0056 max mem: 31630 Epoch: [2] [ 270/5278] eta: 3:58:33 lr: 4.768620475079928e-05 loss: 0.1923 (0.2007) loss_seg: 0.1914 (0.1991) loss_lansim: 0.1166 (0.1230) loss_contra: 0.0102 (0.0305) time: 2.8565 data: 0.0055 max mem: 31630 Epoch: [2] [ 280/5278] eta: 3:58:10 lr: 4.768406200535063e-05 loss: 0.1902 (0.2001) loss_seg: 0.1892 (0.1986) loss_lansim: 0.1156 (0.1228) loss_contra: 0.0089 (0.0313) time: 2.8602 data: 0.0055 max mem: 31630 Epoch: [2] [ 290/5278] eta: 3:57:37 lr: 4.768191924920336e-05 loss: 0.1923 (0.1999) loss_seg: 0.1914 (0.1984) loss_lansim: 0.1137 (0.1225) loss_contra: 0.0089 (0.0309) time: 2.8569 data: 0.0055 max mem: 31630 Epoch: [2] [ 300/5278] eta: 3:57:12 lr: 4.767977648235689e-05 loss: 0.1923 (0.1992) loss_seg: 0.1914 (0.1977) loss_lansim: 0.1112 (0.1223) loss_contra: 0.0084 (0.0319) time: 2.8564 data: 0.0055 max mem: 31630 Epoch: [2] [ 310/5278] eta: 3:56:34 lr: 4.767763370481063e-05 loss: 0.1966 (0.1991) loss_seg: 0.1955 (0.1976) loss_lansim: 0.1130 (0.1226) loss_contra: 0.0090 (0.0329) time: 2.8489 data: 0.0055 max mem: 31630 Epoch: [2] [ 320/5278] eta: 3:56:04 lr: 4.7675490916563985e-05 loss: 0.1976 (0.1990) loss_seg: 0.1967 (0.1974) loss_lansim: 0.1160 (0.1228) loss_contra: 0.0122 (0.0349) time: 2.8470 data: 0.0055 max mem: 31630 Epoch: [2] [ 330/5278] eta: 3:55:28 lr: 4.767334811761638e-05 loss: 0.1902 (0.1983) loss_seg: 0.1892 (0.1967) loss_lansim: 0.1182 (0.1230) loss_contra: 0.0100 (0.0345) time: 2.8454 data: 0.0055 max mem: 31630 Epoch: [2] [ 340/5278] eta: 3:54:58 lr: 4.767120530796722e-05 loss: 0.1914 (0.1982) loss_seg: 0.1901 (0.1967) loss_lansim: 0.1182 (0.1227) loss_contra: 0.0123 (0.0343) time: 2.8442 data: 0.0055 max mem: 31630 Epoch: [2] [ 350/5278] eta: 3:54:27 lr: 4.7669062487615926e-05 loss: 0.1850 (0.1977) loss_seg: 0.1834 (0.1962) loss_lansim: 0.1194 (0.1228) loss_contra: 0.0174 (0.0344) time: 2.8428 data: 0.0054 max mem: 31630 Epoch: [2] [ 360/5278] eta: 3:54:04 lr: 4.766691965656189e-05 loss: 0.1800 (0.1972) loss_seg: 0.1781 (0.1956) loss_lansim: 0.1197 (0.1226) loss_contra: 0.0154 (0.0363) time: 2.8460 data: 0.0054 max mem: 31630 Epoch: [2] [ 370/5278] eta: 3:53:37 lr: 4.7664776814804535e-05 loss: 0.1783 (0.1968) loss_seg: 0.1759 (0.1952) loss_lansim: 0.1197 (0.1226) loss_contra: 0.0174 (0.0369) time: 2.8503 data: 0.0053 max mem: 31630 Epoch: [2] [ 380/5278] eta: 3:53:04 lr: 4.766263396234328e-05 loss: 0.1794 (0.1968) loss_seg: 0.1772 (0.1952) loss_lansim: 0.1199 (0.1230) loss_contra: 0.0154 (0.0363) time: 2.8442 data: 0.0053 max mem: 31630 Epoch: [2] [ 390/5278] eta: 3:52:31 lr: 4.766049109917752e-05 loss: 0.1800 (0.1971) loss_seg: 0.1782 (0.1955) loss_lansim: 0.1232 (0.1232) loss_contra: 0.0176 (0.0364) time: 2.8420 data: 0.0053 max mem: 31630 Epoch: [2] [ 400/5278] eta: 3:52:02 lr: 4.7658348225306694e-05 loss: 0.1800 (0.1970) loss_seg: 0.1782 (0.1954) loss_lansim: 0.1250 (0.1234) loss_contra: 0.0182 (0.0369) time: 2.8389 data: 0.0052 max mem: 31630 Epoch: [2] [ 410/5278] eta: 3:51:30 lr: 4.7656205340730184e-05 loss: 0.1800 (0.1973) loss_seg: 0.1781 (0.1957) loss_lansim: 0.1232 (0.1234) loss_contra: 0.0176 (0.0367) time: 2.8422 data: 0.0052 max mem: 31630 Epoch: [2] [ 420/5278] eta: 3:51:04 lr: 4.765406244544742e-05 loss: 0.1800 (0.1969) loss_seg: 0.1781 (0.1953) loss_lansim: 0.1232 (0.1234) loss_contra: 0.0154 (0.0364) time: 2.8448 data: 0.0052 max mem: 31630 Epoch: [2] [ 430/5278] eta: 3:50:34 lr: 4.7651919539457804e-05 loss: 0.1850 (0.1974) loss_seg: 0.1838 (0.1958) loss_lansim: 0.1234 (0.1235) loss_contra: 0.0176 (0.0377) time: 2.8478 data: 0.0052 max mem: 31630 Epoch: [2] [ 440/5278] eta: 3:50:07 lr: 4.764977662276076e-05 loss: 0.1803 (0.1974) loss_seg: 0.1791 (0.1957) loss_lansim: 0.1234 (0.1233) loss_contra: 0.0154 (0.0377) time: 2.8505 data: 0.0052 max mem: 31630 Epoch: [2] [ 450/5278] eta: 3:49:36 lr: 4.7647633695355684e-05 loss: 0.1826 (0.1969) loss_seg: 0.1810 (0.1953) loss_lansim: 0.1234 (0.1233) loss_contra: 0.0146 (0.0380) time: 2.8491 data: 0.0052 max mem: 31630 Epoch: [2] [ 460/5278] eta: 3:49:07 lr: 4.7645490757242e-05 loss: 0.1803 (0.1964) loss_seg: 0.1791 (0.1948) loss_lansim: 0.1222 (0.1230) loss_contra: 0.0138 (0.0385) time: 2.8454 data: 0.0052 max mem: 31630 Epoch: [2] [ 470/5278] eta: 3:48:43 lr: 4.764334780841911e-05 loss: 0.1947 (0.1984) loss_seg: 0.1932 (0.1968) loss_lansim: 0.1212 (0.1228) loss_contra: 0.0121 (0.0390) time: 2.8481 data: 0.0052 max mem: 31630 Epoch: [2] [ 480/5278] eta: 3:48:11 lr: 4.7641204848886436e-05 loss: 0.1897 (0.1978) loss_seg: 0.1880 (0.1962) loss_lansim: 0.1196 (0.1225) loss_contra: 0.0104 (0.0393) time: 2.8476 data: 0.0052 max mem: 31630 Epoch: [2] [ 490/5278] eta: 3:47:42 lr: 4.763906187864338e-05 loss: 0.1874 (0.1976) loss_seg: 0.1861 (0.1960) loss_lansim: 0.1172 (0.1223) loss_contra: 0.0134 (0.0397) time: 2.8510 data: 0.0052 max mem: 31630 Epoch: [2] [ 500/5278] eta: 3:47:15 lr: 4.7636918897689347e-05 loss: 0.1897 (0.1976) loss_seg: 0.1880 (0.1959) loss_lansim: 0.1163 (0.1221) loss_contra: 0.0104 (0.0394) time: 2.8531 data: 0.0052 max mem: 31630 Epoch: [2] [ 510/5278] eta: 3:46:46 lr: 4.763477590602376e-05 loss: 0.1926 (0.1976) loss_seg: 0.1912 (0.1960) loss_lansim: 0.1147 (0.1219) loss_contra: 0.0111 (0.0393) time: 2.8543 data: 0.0052 max mem: 31630 Epoch: [2] [ 520/5278] eta: 3:46:20 lr: 4.763263290364603e-05 loss: 0.1950 (0.1976) loss_seg: 0.1934 (0.1960) loss_lansim: 0.1132 (0.1216) loss_contra: 0.0111 (0.0389) time: 2.8553 data: 0.0052 max mem: 31630 Epoch: [2] [ 530/5278] eta: 3:45:46 lr: 4.763048989055556e-05 loss: 0.1928 (0.1975) loss_seg: 0.1916 (0.1959) loss_lansim: 0.1116 (0.1215) loss_contra: 0.0100 (0.0384) time: 2.8507 data: 0.0053 max mem: 31630 Epoch: [2] [ 540/5278] eta: 3:45:22 lr: 4.762834686675177e-05 loss: 0.1955 (0.1983) loss_seg: 0.1942 (0.1967) loss_lansim: 0.1110 (0.1215) loss_contra: 0.0123 (0.0385) time: 2.8540 data: 0.0053 max mem: 31630 Epoch: [2] [ 550/5278] eta: 3:44:53 lr: 4.7626203832234065e-05 loss: 0.1955 (0.1985) loss_seg: 0.1942 (0.1969) loss_lansim: 0.1104 (0.1214) loss_contra: 0.0114 (0.0381) time: 2.8562 data: 0.0053 max mem: 31630 Epoch: [2] [ 560/5278] eta: 3:44:23 lr: 4.762406078700185e-05 loss: 0.2005 (0.1985) loss_seg: 0.1990 (0.1969) loss_lansim: 0.1116 (0.1214) loss_contra: 0.0134 (0.0386) time: 2.8547 data: 0.0053 max mem: 31630 Epoch: [2] [ 570/5278] eta: 3:43:54 lr: 4.762191773105455e-05 loss: 0.1886 (0.1980) loss_seg: 0.1875 (0.1965) loss_lansim: 0.1138 (0.1215) loss_contra: 0.0132 (0.0382) time: 2.8495 data: 0.0053 max mem: 31630 Epoch: [2] [ 580/5278] eta: 3:43:25 lr: 4.761977466439157e-05 loss: 0.1954 (0.1984) loss_seg: 0.1935 (0.1968) loss_lansim: 0.1142 (0.1215) loss_contra: 0.0132 (0.0382) time: 2.8520 data: 0.0053 max mem: 31630 Epoch: [2] [ 590/5278] eta: 3:42:58 lr: 4.761763158701232e-05 loss: 0.1954 (0.1984) loss_seg: 0.1935 (0.1968) loss_lansim: 0.1158 (0.1216) loss_contra: 0.0111 (0.0377) time: 2.8548 data: 0.0053 max mem: 31630 Epoch: [2] [ 600/5278] eta: 3:42:31 lr: 4.761548849891621e-05 loss: 0.1932 (0.1979) loss_seg: 0.1920 (0.1963) loss_lansim: 0.1161 (0.1216) loss_contra: 0.0107 (0.0374) time: 2.8550 data: 0.0053 max mem: 31630 Epoch: [2] [ 610/5278] eta: 3:42:05 lr: 4.761334540010264e-05 loss: 0.1932 (0.1983) loss_seg: 0.1920 (0.1967) loss_lansim: 0.1162 (0.1216) loss_contra: 0.0096 (0.0370) time: 2.8594 data: 0.0053 max mem: 31630 Epoch: [2] [ 620/5278] eta: 3:41:36 lr: 4.7611202290571035e-05 loss: 0.1947 (0.1984) loss_seg: 0.1927 (0.1968) loss_lansim: 0.1213 (0.1219) loss_contra: 0.0094 (0.0365) time: 2.8567 data: 0.0054 max mem: 31630 Epoch: [2] [ 630/5278] eta: 3:41:07 lr: 4.760905917032081e-05 loss: 0.1900 (0.1982) loss_seg: 0.1888 (0.1966) loss_lansim: 0.1215 (0.1219) loss_contra: 0.0094 (0.0362) time: 2.8620 data: 0.0053 max mem: 31630 Epoch: [2] [ 640/5278] eta: 3:40:40 lr: 4.760691603935136e-05 loss: 0.1938 (0.1983) loss_seg: 0.1922 (0.1967) loss_lansim: 0.1217 (0.1220) loss_contra: 0.0078 (0.0364) time: 2.8583 data: 0.0053 max mem: 31630 Epoch: [2] [ 650/5278] eta: 3:40:10 lr: 4.76047728976621e-05 loss: 0.1922 (0.1982) loss_seg: 0.1906 (0.1966) loss_lansim: 0.1255 (0.1223) loss_contra: 0.0077 (0.0366) time: 2.8574 data: 0.0054 max mem: 31630 Epoch: [2] [ 660/5278] eta: 3:39:41 lr: 4.7602629745252435e-05 loss: 0.1837 (0.1979) loss_seg: 0.1824 (0.1963) loss_lansim: 0.1284 (0.1224) loss_contra: 0.0077 (0.0369) time: 2.8584 data: 0.0054 max mem: 31630 Epoch: [2] [ 670/5278] eta: 3:39:12 lr: 4.760048658212179e-05 loss: 0.1900 (0.1978) loss_seg: 0.1888 (0.1962) loss_lansim: 0.1285 (0.1225) loss_contra: 0.0078 (0.0370) time: 2.8593 data: 0.0054 max mem: 31630 Epoch: [2] [ 680/5278] eta: 3:38:44 lr: 4.759834340826956e-05 loss: 0.1793 (0.1977) loss_seg: 0.1782 (0.1961) loss_lansim: 0.1285 (0.1225) loss_contra: 0.0078 (0.0378) time: 2.8604 data: 0.0054 max mem: 31630 Epoch: [2] [ 690/5278] eta: 3:38:16 lr: 4.759620022369517e-05 loss: 0.1870 (0.1979) loss_seg: 0.1857 (0.1962) loss_lansim: 0.1269 (0.1225) loss_contra: 0.0089 (0.0378) time: 2.8582 data: 0.0054 max mem: 31630 Epoch: [2] [ 700/5278] eta: 3:37:46 lr: 4.7594057028398014e-05 loss: 0.1926 (0.1978) loss_seg: 0.1912 (0.1962) loss_lansim: 0.1268 (0.1224) loss_contra: 0.0101 (0.0387) time: 2.8549 data: 0.0054 max mem: 31630 Epoch: [2] [ 710/5278] eta: 3:37:15 lr: 4.7591913822377515e-05 loss: 0.1836 (0.1977) loss_seg: 0.1812 (0.1961) loss_lansim: 0.1253 (0.1223) loss_contra: 0.0121 (0.0384) time: 2.8486 data: 0.0053 max mem: 31630 Epoch: [2] [ 720/5278] eta: 3:36:46 lr: 4.758977060563307e-05 loss: 0.1836 (0.1979) loss_seg: 0.1812 (0.1963) loss_lansim: 0.1225 (0.1222) loss_contra: 0.0122 (0.0382) time: 2.8474 data: 0.0053 max mem: 31630 Epoch: [2] [ 730/5278] eta: 3:36:19 lr: 4.7587627378164106e-05 loss: 0.1836 (0.1974) loss_seg: 0.1812 (0.1958) loss_lansim: 0.1204 (0.1221) loss_contra: 0.0122 (0.0386) time: 2.8507 data: 0.0054 max mem: 31630 Epoch: [2] [ 740/5278] eta: 3:35:50 lr: 4.7585484139970016e-05 loss: 0.1796 (0.1972) loss_seg: 0.1782 (0.1956) loss_lansim: 0.1189 (0.1219) loss_contra: 0.0121 (0.0383) time: 2.8478 data: 0.0054 max mem: 31630 Epoch: [2] [ 750/5278] eta: 3:35:20 lr: 4.758334089105021e-05 loss: 0.1793 (0.1971) loss_seg: 0.1774 (0.1955) loss_lansim: 0.1179 (0.1218) loss_contra: 0.0121 (0.0382) time: 2.8476 data: 0.0053 max mem: 31630 Epoch: [2] [ 760/5278] eta: 3:34:55 lr: 4.758119763140411e-05 loss: 0.1804 (0.1970) loss_seg: 0.1792 (0.1954) loss_lansim: 0.1176 (0.1219) loss_contra: 0.0118 (0.0380) time: 2.8541 data: 0.0053 max mem: 31630 Epoch: [2] [ 770/5278] eta: 3:34:25 lr: 4.7579054361031125e-05 loss: 0.1827 (0.1972) loss_seg: 0.1812 (0.1956) loss_lansim: 0.1155 (0.1220) loss_contra: 0.0101 (0.0377) time: 2.8510 data: 0.0053 max mem: 31630 Epoch: [2] [ 780/5278] eta: 3:33:59 lr: 4.757691107993065e-05 loss: 0.1827 (0.1971) loss_seg: 0.1812 (0.1954) loss_lansim: 0.1155 (0.1221) loss_contra: 0.0101 (0.0382) time: 2.8559 data: 0.0053 max mem: 31630 Epoch: [2] [ 790/5278] eta: 3:33:30 lr: 4.75747677881021e-05 loss: 0.1804 (0.1968) loss_seg: 0.1790 (0.1952) loss_lansim: 0.1176 (0.1221) loss_contra: 0.0099 (0.0385) time: 2.8535 data: 0.0053 max mem: 31630 Epoch: [2] [ 800/5278] eta: 3:33:03 lr: 4.757262448554489e-05 loss: 0.1775 (0.1969) loss_seg: 0.1763 (0.1953) loss_lansim: 0.1194 (0.1223) loss_contra: 0.0112 (0.0384) time: 2.8586 data: 0.0053 max mem: 31630 Epoch: [2] [ 810/5278] eta: 3:32:35 lr: 4.757048117225844e-05 loss: 0.1809 (0.1971) loss_seg: 0.1790 (0.1955) loss_lansim: 0.1223 (0.1227) loss_contra: 0.0112 (0.0384) time: 2.8623 data: 0.0053 max mem: 31630 Epoch: [2] [ 820/5278] eta: 3:32:08 lr: 4.756833784824213e-05 loss: 0.1784 (0.1970) loss_seg: 0.1769 (0.1954) loss_lansim: 0.1246 (0.1230) loss_contra: 0.0088 (0.0384) time: 2.8661 data: 0.0053 max mem: 31630 Epoch: [2] [ 830/5278] eta: 3:31:37 lr: 4.756619451349538e-05 loss: 0.1809 (0.1969) loss_seg: 0.1771 (0.1952) loss_lansim: 0.1249 (0.1230) loss_contra: 0.0084 (0.0381) time: 2.8606 data: 0.0053 max mem: 31630 Epoch: [2] [ 840/5278] eta: 3:31:08 lr: 4.756405116801762e-05 loss: 0.1815 (0.1968) loss_seg: 0.1790 (0.1952) loss_lansim: 0.1264 (0.1232) loss_contra: 0.0113 (0.0386) time: 2.8601 data: 0.0054 max mem: 31630 Epoch: [2] [ 850/5278] eta: 3:30:38 lr: 4.756190781180823e-05 loss: 0.1819 (0.1965) loss_seg: 0.1791 (0.1949) loss_lansim: 0.1297 (0.1232) loss_contra: 0.0125 (0.0384) time: 2.8601 data: 0.0054 max mem: 31630 Epoch: [2] [ 860/5278] eta: 3:30:07 lr: 4.755976444486664e-05 loss: 0.1823 (0.1962) loss_seg: 0.1791 (0.1946) loss_lansim: 0.1269 (0.1231) loss_contra: 0.0125 (0.0386) time: 2.8494 data: 0.0054 max mem: 31630 Epoch: [2] [ 870/5278] eta: 3:29:42 lr: 4.7557621067192235e-05 loss: 0.1788 (0.1960) loss_seg: 0.1769 (0.1944) loss_lansim: 0.1297 (0.1232) loss_contra: 0.0143 (0.0384) time: 2.8590 data: 0.0055 max mem: 31630 Epoch: [2] [ 880/5278] eta: 3:29:12 lr: 4.755547767878445e-05 loss: 0.1766 (0.1960) loss_seg: 0.1755 (0.1943) loss_lansim: 0.1299 (0.1233) loss_contra: 0.0144 (0.0384) time: 2.8497 data: 0.0055 max mem: 31630 Epoch: [2] [ 890/5278] eta: 3:28:44 lr: 4.755333427964268e-05 loss: 0.1788 (0.1958) loss_seg: 0.1769 (0.1942) loss_lansim: 0.1297 (0.1232) loss_contra: 0.0146 (0.0387) time: 2.8548 data: 0.0055 max mem: 31630 Epoch: [2] [ 900/5278] eta: 3:28:16 lr: 4.755119086976634e-05 loss: 0.1813 (0.1959) loss_seg: 0.1782 (0.1942) loss_lansim: 0.1278 (0.1232) loss_contra: 0.0146 (0.0395) time: 2.8522 data: 0.0055 max mem: 31630 Epoch: [2] [ 910/5278] eta: 3:27:47 lr: 4.7549047449154836e-05 loss: 0.1813 (0.1962) loss_seg: 0.1782 (0.1946) loss_lansim: 0.1265 (0.1232) loss_contra: 0.0148 (0.0392) time: 2.8501 data: 0.0055 max mem: 31630 Epoch: [2] [ 920/5278] eta: 3:27:16 lr: 4.7546904017807575e-05 loss: 0.1834 (0.1962) loss_seg: 0.1808 (0.1946) loss_lansim: 0.1265 (0.1234) loss_contra: 0.0175 (0.0394) time: 2.8421 data: 0.0055 max mem: 31630 Epoch: [2] [ 930/5278] eta: 3:26:47 lr: 4.754476057572396e-05 loss: 0.1836 (0.1963) loss_seg: 0.1818 (0.1947) loss_lansim: 0.1251 (0.1233) loss_contra: 0.0204 (0.0395) time: 2.8434 data: 0.0056 max mem: 31630 Epoch: [2] [ 940/5278] eta: 3:26:17 lr: 4.754261712290342e-05 loss: 0.1834 (0.1962) loss_seg: 0.1813 (0.1945) loss_lansim: 0.1235 (0.1233) loss_contra: 0.0213 (0.0398) time: 2.8424 data: 0.0055 max mem: 31630 Epoch: [2] [ 950/5278] eta: 3:25:48 lr: 4.754047365934533e-05 loss: 0.1850 (0.1965) loss_seg: 0.1823 (0.1949) loss_lansim: 0.1213 (0.1231) loss_contra: 0.0216 (0.0399) time: 2.8436 data: 0.0056 max mem: 31630 Epoch: [2] [ 960/5278] eta: 3:25:18 lr: 4.753833018504913e-05 loss: 0.1847 (0.1964) loss_seg: 0.1818 (0.1948) loss_lansim: 0.1202 (0.1230) loss_contra: 0.0216 (0.0401) time: 2.8455 data: 0.0056 max mem: 31630 Epoch: [2] [ 970/5278] eta: 3:24:50 lr: 4.753618670001421e-05 loss: 0.1878 (0.1966) loss_seg: 0.1852 (0.1950) loss_lansim: 0.1176 (0.1228) loss_contra: 0.0229 (0.0401) time: 2.8399 data: 0.0055 max mem: 31630 Epoch: [2] [ 980/5278] eta: 3:24:20 lr: 4.7534043204239986e-05 loss: 0.1898 (0.1966) loss_seg: 0.1878 (0.1950) loss_lansim: 0.1176 (0.1229) loss_contra: 0.0218 (0.0402) time: 2.8398 data: 0.0055 max mem: 31630 Epoch: [2] [ 990/5278] eta: 3:23:51 lr: 4.7531899697725855e-05 loss: 0.1906 (0.1967) loss_seg: 0.1893 (0.1950) loss_lansim: 0.1195 (0.1230) loss_contra: 0.0217 (0.0402) time: 2.8352 data: 0.0055 max mem: 31630 Epoch: [2] [1000/5278] eta: 3:23:24 lr: 4.752975618047124e-05 loss: 0.1871 (0.1966) loss_seg: 0.1850 (0.1949) loss_lansim: 0.1214 (0.1231) loss_contra: 0.0204 (0.0409) time: 2.8389 data: 0.0056 max mem: 31630 Epoch: [2] [1010/5278] eta: 3:22:55 lr: 4.7527612652475546e-05 loss: 0.1850 (0.1970) loss_seg: 0.1835 (0.1953) loss_lansim: 0.1231 (0.1232) loss_contra: 0.0218 (0.0407) time: 2.8380 data: 0.0056 max mem: 31630 Epoch: [2] [1020/5278] eta: 3:22:26 lr: 4.752546911373818e-05 loss: 0.1830 (0.1967) loss_seg: 0.1812 (0.1950) loss_lansim: 0.1196 (0.1231) loss_contra: 0.0192 (0.0407) time: 2.8422 data: 0.0056 max mem: 31630 Epoch: [2] [1030/5278] eta: 3:21:58 lr: 4.7523325564258534e-05 loss: 0.1822 (0.1967) loss_seg: 0.1799 (0.1951) loss_lansim: 0.1202 (0.1231) loss_contra: 0.0155 (0.0406) time: 2.8447 data: 0.0056 max mem: 31630 Epoch: [2] [1040/5278] eta: 3:21:28 lr: 4.752118200403604e-05 loss: 0.1850 (0.1966) loss_seg: 0.1831 (0.1950) loss_lansim: 0.1196 (0.1230) loss_contra: 0.0133 (0.0408) time: 2.8445 data: 0.0056 max mem: 31630 Epoch: [2] [1050/5278] eta: 3:20:58 lr: 4.751903843307009e-05 loss: 0.1817 (0.1965) loss_seg: 0.1792 (0.1949) loss_lansim: 0.1211 (0.1229) loss_contra: 0.0130 (0.0407) time: 2.8416 data: 0.0056 max mem: 31630 Epoch: [2] [1060/5278] eta: 3:20:29 lr: 4.75168948513601e-05 loss: 0.1845 (0.1966) loss_seg: 0.1831 (0.1950) loss_lansim: 0.1211 (0.1228) loss_contra: 0.0117 (0.0411) time: 2.8434 data: 0.0056 max mem: 31630 Epoch: [2] [1070/5278] eta: 3:20:00 lr: 4.7514751258905473e-05 loss: 0.1831 (0.1966) loss_seg: 0.1819 (0.1950) loss_lansim: 0.1229 (0.1228) loss_contra: 0.0110 (0.0414) time: 2.8407 data: 0.0056 max mem: 31630 Epoch: [2] [1080/5278] eta: 3:19:30 lr: 4.751260765570562e-05 loss: 0.1828 (0.1965) loss_seg: 0.1816 (0.1948) loss_lansim: 0.1211 (0.1228) loss_contra: 0.0110 (0.0417) time: 2.8414 data: 0.0057 max mem: 31630 Epoch: [2] [1090/5278] eta: 3:19:02 lr: 4.7510464041759944e-05 loss: 0.1817 (0.1964) loss_seg: 0.1792 (0.1947) loss_lansim: 0.1196 (0.1228) loss_contra: 0.0110 (0.0418) time: 2.8426 data: 0.0057 max mem: 31630 Epoch: [2] [1100/5278] eta: 3:18:31 lr: 4.750832041706785e-05 loss: 0.1833 (0.1967) loss_seg: 0.1819 (0.1951) loss_lansim: 0.1173 (0.1227) loss_contra: 0.0114 (0.0418) time: 2.8319 data: 0.0056 max mem: 31630 Epoch: [2] [1110/5278] eta: 3:18:02 lr: 4.750617678162876e-05 loss: 0.1833 (0.1969) loss_seg: 0.1819 (0.1953) loss_lansim: 0.1170 (0.1228) loss_contra: 0.0117 (0.0419) time: 2.8337 data: 0.0057 max mem: 31630 Epoch: [2] [1120/5278] eta: 3:17:33 lr: 4.750403313544206e-05 loss: 0.1894 (0.1969) loss_seg: 0.1882 (0.1953) loss_lansim: 0.1173 (0.1228) loss_contra: 0.0114 (0.0417) time: 2.8329 data: 0.0057 max mem: 31630 Epoch: [2] [1130/5278] eta: 3:17:05 lr: 4.750188947850718e-05 loss: 0.1892 (0.1969) loss_seg: 0.1876 (0.1952) loss_lansim: 0.1171 (0.1228) loss_contra: 0.0130 (0.0414) time: 2.8333 data: 0.0057 max mem: 31630 Epoch: [2] [1140/5278] eta: 3:16:36 lr: 4.749974581082351e-05 loss: 0.1892 (0.1968) loss_seg: 0.1876 (0.1951) loss_lansim: 0.1171 (0.1226) loss_contra: 0.0130 (0.0412) time: 2.8344 data: 0.0057 max mem: 31630 Epoch: [2] [1150/5278] eta: 3:16:08 lr: 4.749760213239046e-05 loss: 0.1899 (0.1970) loss_seg: 0.1884 (0.1954) loss_lansim: 0.1149 (0.1225) loss_contra: 0.0114 (0.0410) time: 2.8390 data: 0.0056 max mem: 31630 Epoch: [2] [1160/5278] eta: 3:15:40 lr: 4.749545844320744e-05 loss: 0.1903 (0.1970) loss_seg: 0.1884 (0.1954) loss_lansim: 0.1173 (0.1226) loss_contra: 0.0114 (0.0409) time: 2.8406 data: 0.0056 max mem: 31630 Epoch: [2] [1170/5278] eta: 3:15:12 lr: 4.749331474327386e-05 loss: 0.1926 (0.1971) loss_seg: 0.1903 (0.1955) loss_lansim: 0.1171 (0.1225) loss_contra: 0.0109 (0.0406) time: 2.8442 data: 0.0056 max mem: 31630 Epoch: [2] [1180/5278] eta: 3:14:44 lr: 4.749117103258912e-05 loss: 0.1904 (0.1969) loss_seg: 0.1892 (0.1953) loss_lansim: 0.1173 (0.1225) loss_contra: 0.0099 (0.0405) time: 2.8488 data: 0.0056 max mem: 31630 Epoch: [2] [1190/5278] eta: 3:14:15 lr: 4.748902731115264e-05 loss: 0.1890 (0.1967) loss_seg: 0.1876 (0.1950) loss_lansim: 0.1173 (0.1226) loss_contra: 0.0094 (0.0403) time: 2.8457 data: 0.0056 max mem: 31630 Epoch: [2] [1200/5278] eta: 3:13:46 lr: 4.748688357896381e-05 loss: 0.1868 (0.1965) loss_seg: 0.1855 (0.1949) loss_lansim: 0.1180 (0.1225) loss_contra: 0.0092 (0.0402) time: 2.8524 data: 0.0056 max mem: 31630 Epoch: [2] [1210/5278] eta: 3:13:17 lr: 4.7484739836022044e-05 loss: 0.1768 (0.1964) loss_seg: 0.1749 (0.1948) loss_lansim: 0.1137 (0.1224) loss_contra: 0.0069 (0.0399) time: 2.8501 data: 0.0056 max mem: 31630 Epoch: [2] [1220/5278] eta: 3:12:47 lr: 4.7482596082326745e-05 loss: 0.1890 (0.1968) loss_seg: 0.1880 (0.1952) loss_lansim: 0.1134 (0.1223) loss_contra: 0.0066 (0.0399) time: 2.8480 data: 0.0057 max mem: 31630 Epoch: [2] [1230/5278] eta: 3:12:18 lr: 4.748045231787733e-05 loss: 0.1911 (0.1969) loss_seg: 0.1896 (0.1952) loss_lansim: 0.1144 (0.1224) loss_contra: 0.0062 (0.0396) time: 2.8449 data: 0.0057 max mem: 31630 Epoch: [2] [1240/5278] eta: 3:11:49 lr: 4.74783085426732e-05 loss: 0.1911 (0.1969) loss_seg: 0.1900 (0.1952) loss_lansim: 0.1187 (0.1224) loss_contra: 0.0065 (0.0394) time: 2.8456 data: 0.0058 max mem: 31630 Epoch: [2] [1250/5278] eta: 3:11:21 lr: 4.7476164756713756e-05 loss: 0.1890 (0.1967) loss_seg: 0.1880 (0.1951) loss_lansim: 0.1196 (0.1225) loss_contra: 0.0062 (0.0393) time: 2.8444 data: 0.0058 max mem: 31630 Epoch: [2] [1260/5278] eta: 3:10:52 lr: 4.7474020959998405e-05 loss: 0.1890 (0.1968) loss_seg: 0.1880 (0.1952) loss_lansim: 0.1190 (0.1225) loss_contra: 0.0045 (0.0394) time: 2.8403 data: 0.0059 max mem: 31630 Epoch: [2] [1270/5278] eta: 3:10:23 lr: 4.747187715252657e-05 loss: 0.1879 (0.1968) loss_seg: 0.1847 (0.1952) loss_lansim: 0.1187 (0.1224) loss_contra: 0.0045 (0.0395) time: 2.8392 data: 0.0059 max mem: 31630 Epoch: [2] [1280/5278] eta: 3:09:56 lr: 4.7469733334297634e-05 loss: 0.1887 (0.1971) loss_seg: 0.1868 (0.1955) loss_lansim: 0.1187 (0.1223) loss_contra: 0.0045 (0.0393) time: 2.8408 data: 0.0058 max mem: 31630 Epoch: [2] [1290/5278] eta: 3:09:27 lr: 4.746758950531101e-05 loss: 0.1897 (0.1970) loss_seg: 0.1884 (0.1954) loss_lansim: 0.1180 (0.1223) loss_contra: 0.0039 (0.0392) time: 2.8425 data: 0.0059 max mem: 31630 Epoch: [2] [1300/5278] eta: 3:08:59 lr: 4.746544566556612e-05 loss: 0.1897 (0.1968) loss_seg: 0.1884 (0.1952) loss_lansim: 0.1169 (0.1222) loss_contra: 0.0035 (0.0390) time: 2.8427 data: 0.0059 max mem: 31630 Epoch: [2] [1310/5278] eta: 3:08:31 lr: 4.746330181506235e-05 loss: 0.1897 (0.1969) loss_seg: 0.1884 (0.1952) loss_lansim: 0.1187 (0.1222) loss_contra: 0.0028 (0.0387) time: 2.8466 data: 0.0059 max mem: 31630 Epoch: [2] [1320/5278] eta: 3:08:02 lr: 4.7461157953799114e-05 loss: 0.1859 (0.1969) loss_seg: 0.1847 (0.1952) loss_lansim: 0.1191 (0.1222) loss_contra: 0.0027 (0.0387) time: 2.8493 data: 0.0058 max mem: 31630 Epoch: [2] [1330/5278] eta: 3:07:32 lr: 4.745901408177582e-05 loss: 0.1842 (0.1966) loss_seg: 0.1831 (0.1950) loss_lansim: 0.1180 (0.1222) loss_contra: 0.0027 (0.0388) time: 2.8479 data: 0.0058 max mem: 31630 Epoch: [2] [1340/5278] eta: 3:07:03 lr: 4.745687019899187e-05 loss: 0.1838 (0.1967) loss_seg: 0.1824 (0.1951) loss_lansim: 0.1162 (0.1221) loss_contra: 0.0035 (0.0388) time: 2.8471 data: 0.0058 max mem: 31630 Epoch: [2] [1350/5278] eta: 3:06:35 lr: 4.745472630544668e-05 loss: 0.1842 (0.1965) loss_seg: 0.1830 (0.1949) loss_lansim: 0.1152 (0.1220) loss_contra: 0.0049 (0.0387) time: 2.8458 data: 0.0057 max mem: 31630 Epoch: [2] [1360/5278] eta: 3:06:06 lr: 4.7452582401139636e-05 loss: 0.1838 (0.1968) loss_seg: 0.1825 (0.1951) loss_lansim: 0.1127 (0.1219) loss_contra: 0.0066 (0.0388) time: 2.8475 data: 0.0057 max mem: 31630 Epoch: [2] [1370/5278] eta: 3:05:38 lr: 4.745043848607016e-05 loss: 0.1842 (0.1970) loss_seg: 0.1830 (0.1954) loss_lansim: 0.1146 (0.1219) loss_contra: 0.0060 (0.0387) time: 2.8479 data: 0.0057 max mem: 31630 Epoch: [2] [1380/5278] eta: 3:05:09 lr: 4.744829456023765e-05 loss: 0.1890 (0.1971) loss_seg: 0.1874 (0.1955) loss_lansim: 0.1127 (0.1218) loss_contra: 0.0058 (0.0387) time: 2.8460 data: 0.0057 max mem: 31630 Epoch: [2] [1390/5278] eta: 3:04:40 lr: 4.7446150623641516e-05 loss: 0.1852 (0.1972) loss_seg: 0.1836 (0.1956) loss_lansim: 0.1123 (0.1218) loss_contra: 0.0060 (0.0385) time: 2.8431 data: 0.0057 max mem: 31630 Epoch: [2] [1400/5278] eta: 3:04:12 lr: 4.7444006676281166e-05 loss: 0.1890 (0.1972) loss_seg: 0.1874 (0.1956) loss_lansim: 0.1146 (0.1217) loss_contra: 0.0068 (0.0390) time: 2.8441 data: 0.0057 max mem: 31630 Epoch: [2] [1410/5278] eta: 3:03:42 lr: 4.7441862718155997e-05 loss: 0.1852 (0.1971) loss_seg: 0.1836 (0.1955) loss_lansim: 0.1152 (0.1217) loss_contra: 0.0082 (0.0389) time: 2.8375 data: 0.0057 max mem: 31630 Epoch: [2] [1420/5278] eta: 3:03:15 lr: 4.7439718749265425e-05 loss: 0.1917 (0.1973) loss_seg: 0.1902 (0.1957) loss_lansim: 0.1155 (0.1217) loss_contra: 0.0099 (0.0388) time: 2.8450 data: 0.0057 max mem: 31630 Epoch: [2] [1430/5278] eta: 3:02:46 lr: 4.743757476960884e-05 loss: 0.1932 (0.1972) loss_seg: 0.1913 (0.1956) loss_lansim: 0.1143 (0.1217) loss_contra: 0.0112 (0.0391) time: 2.8442 data: 0.0057 max mem: 31630 Epoch: [2] [1440/5278] eta: 3:02:17 lr: 4.743543077918567e-05 loss: 0.1926 (0.1971) loss_seg: 0.1913 (0.1955) loss_lansim: 0.1140 (0.1216) loss_contra: 0.0096 (0.0389) time: 2.8450 data: 0.0057 max mem: 31630 Epoch: [2] [1450/5278] eta: 3:01:48 lr: 4.74332867779953e-05 loss: 0.1946 (0.1971) loss_seg: 0.1935 (0.1954) loss_lansim: 0.1138 (0.1215) loss_contra: 0.0099 (0.0391) time: 2.8431 data: 0.0057 max mem: 31630 Epoch: [2] [1460/5278] eta: 3:01:21 lr: 4.743114276603713e-05 loss: 0.1985 (0.1971) loss_seg: 0.1963 (0.1955) loss_lansim: 0.1152 (0.1215) loss_contra: 0.0095 (0.0390) time: 2.8525 data: 0.0057 max mem: 31630 Epoch: [2] [1470/5278] eta: 3:00:53 lr: 4.742899874331059e-05 loss: 0.1932 (0.1970) loss_seg: 0.1914 (0.1954) loss_lansim: 0.1152 (0.1215) loss_contra: 0.0096 (0.0388) time: 2.8499 data: 0.0057 max mem: 31630 Epoch: [2] [1480/5278] eta: 3:00:23 lr: 4.742685470981507e-05 loss: 0.1826 (0.1967) loss_seg: 0.1813 (0.1951) loss_lansim: 0.1155 (0.1214) loss_contra: 0.0095 (0.0388) time: 2.8463 data: 0.0057 max mem: 31630 Epoch: [2] [1490/5278] eta: 2:59:57 lr: 4.742471066554998e-05 loss: 0.1925 (0.1968) loss_seg: 0.1911 (0.1952) loss_lansim: 0.1155 (0.1213) loss_contra: 0.0095 (0.0386) time: 2.8577 data: 0.0057 max mem: 31630 Epoch: [2] [1500/5278] eta: 2:59:27 lr: 4.742256661051472e-05 loss: 0.1927 (0.1968) loss_seg: 0.1914 (0.1952) loss_lansim: 0.1152 (0.1213) loss_contra: 0.0076 (0.0386) time: 2.8526 data: 0.0057 max mem: 31630 Epoch: [2] [1510/5278] eta: 2:59:01 lr: 4.742042254470869e-05 loss: 0.1902 (0.1972) loss_seg: 0.1884 (0.1956) loss_lansim: 0.1152 (0.1213) loss_contra: 0.0071 (0.0385) time: 2.8641 data: 0.0056 max mem: 31630 Epoch: [2] [1520/5278] eta: 2:58:32 lr: 4.741827846813131e-05 loss: 0.1879 (0.1971) loss_seg: 0.1865 (0.1955) loss_lansim: 0.1126 (0.1213) loss_contra: 0.0071 (0.0385) time: 2.8553 data: 0.0057 max mem: 31630 Epoch: [2] [1530/5278] eta: 2:58:03 lr: 4.7416134380781975e-05 loss: 0.1879 (0.1974) loss_seg: 0.1865 (0.1958) loss_lansim: 0.1172 (0.1214) loss_contra: 0.0062 (0.0387) time: 2.8599 data: 0.0056 max mem: 31630 Epoch: [2] [1540/5278] eta: 2:57:34 lr: 4.7413990282660095e-05 loss: 0.1886 (0.1974) loss_seg: 0.1875 (0.1958) loss_lansim: 0.1184 (0.1215) loss_contra: 0.0071 (0.0387) time: 2.8576 data: 0.0056 max mem: 31630 Epoch: [2] [1550/5278] eta: 2:57:06 lr: 4.741184617376505e-05 loss: 0.1886 (0.1974) loss_seg: 0.1868 (0.1958) loss_lansim: 0.1217 (0.1219) loss_contra: 0.0076 (0.0393) time: 2.8645 data: 0.0056 max mem: 31630 Epoch: [2] [1560/5278] eta: 2:56:37 lr: 4.7409702054096294e-05 loss: 0.1886 (0.1976) loss_seg: 0.1875 (0.1960) loss_lansim: 0.1274 (0.1221) loss_contra: 0.0101 (0.0393) time: 2.8530 data: 0.0056 max mem: 31630 Epoch: [2] [1570/5278] eta: 2:56:08 lr: 4.740755792365319e-05 loss: 0.1927 (0.1975) loss_seg: 0.1915 (0.1959) loss_lansim: 0.1283 (0.1222) loss_contra: 0.0112 (0.0395) time: 2.8509 data: 0.0057 max mem: 31630 Epoch: [2] [1580/5278] eta: 2:55:39 lr: 4.7405413782435146e-05 loss: 0.1968 (0.1975) loss_seg: 0.1939 (0.1959) loss_lansim: 0.1305 (0.1222) loss_contra: 0.0112 (0.0396) time: 2.8528 data: 0.0058 max mem: 31630 Epoch: [2] [1590/5278] eta: 2:55:10 lr: 4.740326963044159e-05 loss: 0.1902 (0.1974) loss_seg: 0.1884 (0.1958) loss_lansim: 0.1298 (0.1221) loss_contra: 0.0155 (0.0404) time: 2.8422 data: 0.0058 max mem: 31630 Epoch: [2] [1600/5278] eta: 2:54:41 lr: 4.7401125467671906e-05 loss: 0.1879 (0.1974) loss_seg: 0.1862 (0.1958) loss_lansim: 0.1294 (0.1221) loss_contra: 0.0197 (0.0406) time: 2.8433 data: 0.0058 max mem: 31630 Epoch: [2] [1610/5278] eta: 2:54:13 lr: 4.73989812941255e-05 loss: 0.1886 (0.1974) loss_seg: 0.1869 (0.1958) loss_lansim: 0.1298 (0.1221) loss_contra: 0.0205 (0.0408) time: 2.8391 data: 0.0058 max mem: 31630 Epoch: [2] [1620/5278] eta: 2:53:43 lr: 4.739683710980178e-05 loss: 0.1912 (0.1974) loss_seg: 0.1900 (0.1958) loss_lansim: 0.1286 (0.1221) loss_contra: 0.0248 (0.0408) time: 2.8369 data: 0.0058 max mem: 31630 Epoch: [2] [1630/5278] eta: 2:53:15 lr: 4.739469291470015e-05 loss: 0.1886 (0.1974) loss_seg: 0.1872 (0.1957) loss_lansim: 0.1271 (0.1221) loss_contra: 0.0256 (0.0408) time: 2.8375 data: 0.0058 max mem: 31630 Epoch: [2] [1640/5278] eta: 2:52:46 lr: 4.739254870882002e-05 loss: 0.1904 (0.1974) loss_seg: 0.1886 (0.1958) loss_lansim: 0.1266 (0.1221) loss_contra: 0.0255 (0.0408) time: 2.8384 data: 0.0058 max mem: 31630 Epoch: [2] [1650/5278] eta: 2:52:18 lr: 4.739040449216079e-05 loss: 0.1879 (0.1974) loss_seg: 0.1869 (0.1957) loss_lansim: 0.1246 (0.1222) loss_contra: 0.0248 (0.0408) time: 2.8353 data: 0.0059 max mem: 31630 Epoch: [2] [1660/5278] eta: 2:51:49 lr: 4.7388260264721864e-05 loss: 0.1833 (0.1972) loss_seg: 0.1806 (0.1956) loss_lansim: 0.1239 (0.1223) loss_contra: 0.0213 (0.0406) time: 2.8365 data: 0.0059 max mem: 31630 Epoch: [2] [1670/5278] eta: 2:51:21 lr: 4.738611602650264e-05 loss: 0.1815 (0.1971) loss_seg: 0.1801 (0.1955) loss_lansim: 0.1245 (0.1223) loss_contra: 0.0188 (0.0406) time: 2.8415 data: 0.0059 max mem: 31630 Epoch: [2] [1680/5278] eta: 2:50:52 lr: 4.738397177750252e-05 loss: 0.1876 (0.1971) loss_seg: 0.1835 (0.1955) loss_lansim: 0.1261 (0.1223) loss_contra: 0.0175 (0.0404) time: 2.8418 data: 0.0058 max mem: 31630 Epoch: [2] [1690/5278] eta: 2:50:23 lr: 4.738182751772092e-05 loss: 0.1876 (0.1972) loss_seg: 0.1835 (0.1956) loss_lansim: 0.1272 (0.1224) loss_contra: 0.0145 (0.0405) time: 2.8392 data: 0.0058 max mem: 31630 Epoch: [2] [1700/5278] eta: 2:49:54 lr: 4.737968324715723e-05 loss: 0.1833 (0.1971) loss_seg: 0.1821 (0.1955) loss_lansim: 0.1274 (0.1224) loss_contra: 0.0138 (0.0403) time: 2.8421 data: 0.0058 max mem: 31630 Epoch: [2] [1710/5278] eta: 2:49:25 lr: 4.737753896581086e-05 loss: 0.1831 (0.1971) loss_seg: 0.1806 (0.1955) loss_lansim: 0.1272 (0.1224) loss_contra: 0.0088 (0.0401) time: 2.8370 data: 0.0058 max mem: 31630 Epoch: [2] [1720/5278] eta: 2:48:57 lr: 4.737539467368122e-05 loss: 0.1807 (0.1970) loss_seg: 0.1791 (0.1954) loss_lansim: 0.1276 (0.1224) loss_contra: 0.0077 (0.0400) time: 2.8416 data: 0.0058 max mem: 31630 Epoch: [2] [1730/5278] eta: 2:48:28 lr: 4.737325037076771e-05 loss: 0.1788 (0.1969) loss_seg: 0.1761 (0.1953) loss_lansim: 0.1283 (0.1225) loss_contra: 0.0074 (0.0400) time: 2.8386 data: 0.0059 max mem: 31630 Epoch: [2] [1740/5278] eta: 2:47:59 lr: 4.7371106057069733e-05 loss: 0.1779 (0.1969) loss_seg: 0.1761 (0.1953) loss_lansim: 0.1277 (0.1226) loss_contra: 0.0070 (0.0403) time: 2.8372 data: 0.0059 max mem: 31630 Epoch: [2] [1750/5278] eta: 2:47:29 lr: 4.736896173258668e-05 loss: 0.1727 (0.1967) loss_seg: 0.1711 (0.1951) loss_lansim: 0.1279 (0.1226) loss_contra: 0.0074 (0.0404) time: 2.8320 data: 0.0059 max mem: 31630 Epoch: [2] [1760/5278] eta: 2:47:02 lr: 4.736681739731797e-05 loss: 0.1727 (0.1967) loss_seg: 0.1711 (0.1951) loss_lansim: 0.1274 (0.1226) loss_contra: 0.0077 (0.0404) time: 2.8374 data: 0.0058 max mem: 31630 Epoch: [2] [1770/5278] eta: 2:46:32 lr: 4.736467305126301e-05 loss: 0.1769 (0.1969) loss_seg: 0.1752 (0.1953) loss_lansim: 0.1272 (0.1227) loss_contra: 0.0091 (0.0405) time: 2.8320 data: 0.0058 max mem: 31630 Epoch: [2] [1780/5278] eta: 2:46:04 lr: 4.736252869442118e-05 loss: 0.1769 (0.1970) loss_seg: 0.1752 (0.1953) loss_lansim: 0.1272 (0.1227) loss_contra: 0.0098 (0.0404) time: 2.8317 data: 0.0058 max mem: 31630 Epoch: [2] [1790/5278] eta: 2:45:35 lr: 4.73603843267919e-05 loss: 0.1737 (0.1968) loss_seg: 0.1723 (0.1952) loss_lansim: 0.1272 (0.1227) loss_contra: 0.0095 (0.0403) time: 2.8343 data: 0.0058 max mem: 31630 Epoch: [2] [1800/5278] eta: 2:45:08 lr: 4.7358239948374575e-05 loss: 0.1768 (0.1967) loss_seg: 0.1746 (0.1951) loss_lansim: 0.1272 (0.1228) loss_contra: 0.0095 (0.0403) time: 2.8415 data: 0.0058 max mem: 31630 Epoch: [2] [1810/5278] eta: 2:44:39 lr: 4.73560955591686e-05 loss: 0.1739 (0.1965) loss_seg: 0.1723 (0.1949) loss_lansim: 0.1271 (0.1227) loss_contra: 0.0100 (0.0403) time: 2.8405 data: 0.0057 max mem: 31630 Epoch: [2] [1820/5278] eta: 2:44:11 lr: 4.735395115917338e-05 loss: 0.1800 (0.1969) loss_seg: 0.1773 (0.1953) loss_lansim: 0.1268 (0.1227) loss_contra: 0.0106 (0.0401) time: 2.8422 data: 0.0057 max mem: 31630 Epoch: [2] [1830/5278] eta: 2:43:42 lr: 4.735180674838832e-05 loss: 0.1818 (0.1971) loss_seg: 0.1788 (0.1955) loss_lansim: 0.1268 (0.1228) loss_contra: 0.0116 (0.0402) time: 2.8418 data: 0.0057 max mem: 31630 Epoch: [2] [1840/5278] eta: 2:43:14 lr: 4.7349662326812824e-05 loss: 0.1818 (0.1970) loss_seg: 0.1788 (0.1954) loss_lansim: 0.1272 (0.1229) loss_contra: 0.0114 (0.0400) time: 2.8472 data: 0.0058 max mem: 31630 Epoch: [2] [1850/5278] eta: 2:42:44 lr: 4.7347517894446294e-05 loss: 0.1821 (0.1969) loss_seg: 0.1803 (0.1953) loss_lansim: 0.1279 (0.1230) loss_contra: 0.0105 (0.0398) time: 2.8460 data: 0.0058 max mem: 31630 Epoch: [2] [1860/5278] eta: 2:42:17 lr: 4.7345373451288124e-05 loss: 0.1842 (0.1969) loss_seg: 0.1823 (0.1953) loss_lansim: 0.1285 (0.1230) loss_contra: 0.0098 (0.0398) time: 2.8488 data: 0.0059 max mem: 31630 Epoch: [2] [1870/5278] eta: 2:41:48 lr: 4.734322899733773e-05 loss: 0.1837 (0.1971) loss_seg: 0.1822 (0.1954) loss_lansim: 0.1301 (0.1231) loss_contra: 0.0084 (0.0397) time: 2.8530 data: 0.0059 max mem: 31630 Epoch: [2] [1880/5278] eta: 2:41:22 lr: 4.7341084532594506e-05 loss: 0.1837 (0.1971) loss_seg: 0.1822 (0.1954) loss_lansim: 0.1304 (0.1232) loss_contra: 0.0084 (0.0399) time: 2.8630 data: 0.0058 max mem: 31630 Epoch: [2] [1890/5278] eta: 2:40:53 lr: 4.733894005705785e-05 loss: 0.1854 (0.1972) loss_seg: 0.1840 (0.1955) loss_lansim: 0.1319 (0.1232) loss_contra: 0.0106 (0.0400) time: 2.8683 data: 0.0059 max mem: 31630 Epoch: [2] [1900/5278] eta: 2:40:24 lr: 4.7336795570727185e-05 loss: 0.1856 (0.1971) loss_seg: 0.1843 (0.1954) loss_lansim: 0.1323 (0.1232) loss_contra: 0.0099 (0.0401) time: 2.8565 data: 0.0060 max mem: 31630 Epoch: [2] [1910/5278] eta: 2:39:57 lr: 4.733465107360189e-05 loss: 0.1854 (0.1969) loss_seg: 0.1840 (0.1953) loss_lansim: 0.1328 (0.1232) loss_contra: 0.0093 (0.0401) time: 2.8650 data: 0.0060 max mem: 31630 Epoch: [2] [1920/5278] eta: 2:39:27 lr: 4.7332506565681377e-05 loss: 0.1837 (0.1968) loss_seg: 0.1822 (0.1951) loss_lansim: 0.1325 (0.1233) loss_contra: 0.0137 (0.0403) time: 2.8578 data: 0.0061 max mem: 31630 Epoch: [2] [1930/5278] eta: 2:38:59 lr: 4.733036204696505e-05 loss: 0.1826 (0.1967) loss_seg: 0.1812 (0.1951) loss_lansim: 0.1319 (0.1232) loss_contra: 0.0111 (0.0404) time: 2.8603 data: 0.0060 max mem: 31630 Epoch: [2] [1940/5278] eta: 2:38:30 lr: 4.7328217517452304e-05 loss: 0.1801 (0.1967) loss_seg: 0.1776 (0.1951) loss_lansim: 0.1317 (0.1233) loss_contra: 0.0137 (0.0405) time: 2.8584 data: 0.0060 max mem: 31630 Epoch: [2] [1950/5278] eta: 2:38:00 lr: 4.732607297714255e-05 loss: 0.1826 (0.1967) loss_seg: 0.1812 (0.1950) loss_lansim: 0.1303 (0.1233) loss_contra: 0.0108 (0.0404) time: 2.8536 data: 0.0061 max mem: 31630 Epoch: [2] [1960/5278] eta: 2:37:31 lr: 4.732392842603518e-05 loss: 0.1797 (0.1966) loss_seg: 0.1773 (0.1949) loss_lansim: 0.1301 (0.1233) loss_contra: 0.0111 (0.0403) time: 2.8457 data: 0.0061 max mem: 31630 Epoch: [2] [1970/5278] eta: 2:37:01 lr: 4.7321783864129614e-05 loss: 0.1745 (0.1964) loss_seg: 0.1731 (0.1948) loss_lansim: 0.1275 (0.1233) loss_contra: 0.0137 (0.0403) time: 2.8352 data: 0.0061 max mem: 31630 Epoch: [2] [1980/5278] eta: 2:36:32 lr: 4.7319639291425236e-05 loss: 0.1755 (0.1965) loss_seg: 0.1743 (0.1948) loss_lansim: 0.1236 (0.1233) loss_contra: 0.0108 (0.0401) time: 2.8200 data: 0.0062 max mem: 31630 Epoch: [2] [1990/5278] eta: 2:36:02 lr: 4.731749470792145e-05 loss: 0.1730 (0.1964) loss_seg: 0.1715 (0.1947) loss_lansim: 0.1212 (0.1232) loss_contra: 0.0090 (0.0402) time: 2.8089 data: 0.0062 max mem: 31630 Epoch: [2] [2000/5278] eta: 2:35:33 lr: 4.7315350113617667e-05 loss: 0.1779 (0.1965) loss_seg: 0.1765 (0.1948) loss_lansim: 0.1212 (0.1232) loss_contra: 0.0101 (0.0403) time: 2.8109 data: 0.0062 max mem: 31630 Epoch: [2] [2010/5278] eta: 2:35:04 lr: 4.731320550851328e-05 loss: 0.1791 (0.1965) loss_seg: 0.1781 (0.1948) loss_lansim: 0.1212 (0.1232) loss_contra: 0.0093 (0.0404) time: 2.7994 data: 0.0062 max mem: 31630 Epoch: [2] [2020/5278] eta: 2:34:34 lr: 4.73110608926077e-05 loss: 0.1791 (0.1966) loss_seg: 0.1781 (0.1949) loss_lansim: 0.1200 (0.1232) loss_contra: 0.0086 (0.0403) time: 2.7957 data: 0.0061 max mem: 31630 Epoch: [2] [2030/5278] eta: 2:34:05 lr: 4.730891626590032e-05 loss: 0.1907 (0.1967) loss_seg: 0.1894 (0.1950) loss_lansim: 0.1203 (0.1233) loss_contra: 0.0078 (0.0401) time: 2.7905 data: 0.0062 max mem: 31630 Epoch: [2] [2040/5278] eta: 2:33:35 lr: 4.7306771628390535e-05 loss: 0.1913 (0.1968) loss_seg: 0.1901 (0.1951) loss_lansim: 0.1200 (0.1233) loss_contra: 0.0071 (0.0404) time: 2.7824 data: 0.0062 max mem: 31630 Epoch: [2] [2050/5278] eta: 2:33:05 lr: 4.730462698007776e-05 loss: 0.1926 (0.1968) loss_seg: 0.1913 (0.1952) loss_lansim: 0.1203 (0.1234) loss_contra: 0.0078 (0.0403) time: 2.7827 data: 0.0061 max mem: 31630 Epoch: [2] [2060/5278] eta: 2:32:35 lr: 4.73024823209614e-05 loss: 0.1939 (0.1968) loss_seg: 0.1925 (0.1952) loss_lansim: 0.1218 (0.1234) loss_contra: 0.0062 (0.0402) time: 2.7754 data: 0.0061 max mem: 31630 Epoch: [2] [2070/5278] eta: 2:32:05 lr: 4.730033765104084e-05 loss: 0.1987 (0.1969) loss_seg: 0.1977 (0.1953) loss_lansim: 0.1218 (0.1234) loss_contra: 0.0062 (0.0402) time: 2.7758 data: 0.0060 max mem: 31630 Epoch: [2] [2080/5278] eta: 2:31:37 lr: 4.729819297031549e-05 loss: 0.1933 (0.1968) loss_seg: 0.1922 (0.1952) loss_lansim: 0.1234 (0.1234) loss_contra: 0.0062 (0.0401) time: 2.7844 data: 0.0059 max mem: 31630 Epoch: [2] [2090/5278] eta: 2:31:08 lr: 4.729604827878474e-05 loss: 0.1939 (0.1968) loss_seg: 0.1925 (0.1951) loss_lansim: 0.1234 (0.1233) loss_contra: 0.0073 (0.0400) time: 2.7892 data: 0.0059 max mem: 31630 Epoch: [2] [2100/5278] eta: 2:30:40 lr: 4.7293903576448014e-05 loss: 0.1882 (0.1966) loss_seg: 0.1862 (0.1950) loss_lansim: 0.1238 (0.1234) loss_contra: 0.0062 (0.0400) time: 2.7946 data: 0.0059 max mem: 31630 Epoch: [2] [2110/5278] eta: 2:30:12 lr: 4.7291758863304706e-05 loss: 0.1889 (0.1966) loss_seg: 0.1874 (0.1950) loss_lansim: 0.1255 (0.1234) loss_contra: 0.0059 (0.0399) time: 2.8003 data: 0.0058 max mem: 31630 Epoch: [2] [2120/5278] eta: 2:29:44 lr: 4.7289614139354206e-05 loss: 0.1889 (0.1967) loss_seg: 0.1874 (0.1950) loss_lansim: 0.1253 (0.1234) loss_contra: 0.0059 (0.0399) time: 2.8098 data: 0.0058 max mem: 31630 Epoch: [2] [2130/5278] eta: 2:29:15 lr: 4.728746940459591e-05 loss: 0.1833 (0.1965) loss_seg: 0.1818 (0.1949) loss_lansim: 0.1246 (0.1234) loss_contra: 0.0073 (0.0400) time: 2.8144 data: 0.0059 max mem: 31630 Epoch: [2] [2140/5278] eta: 2:28:47 lr: 4.7285324659029246e-05 loss: 0.1847 (0.1965) loss_seg: 0.1833 (0.1949) loss_lansim: 0.1237 (0.1234) loss_contra: 0.0078 (0.0399) time: 2.8214 data: 0.0059 max mem: 31630 Epoch: [2] [2150/5278] eta: 2:28:19 lr: 4.7283179902653594e-05 loss: 0.1842 (0.1965) loss_seg: 0.1825 (0.1949) loss_lansim: 0.1200 (0.1233) loss_contra: 0.0086 (0.0399) time: 2.8333 data: 0.0060 max mem: 31630 Epoch: [2] [2160/5278] eta: 2:27:51 lr: 4.728103513546836e-05 loss: 0.1818 (0.1964) loss_seg: 0.1794 (0.1948) loss_lansim: 0.1189 (0.1233) loss_contra: 0.0086 (0.0398) time: 2.8494 data: 0.0061 max mem: 31630 Epoch: [2] [2170/5278] eta: 2:27:23 lr: 4.7278890357472933e-05 loss: 0.1787 (0.1963) loss_seg: 0.1768 (0.1947) loss_lansim: 0.1187 (0.1233) loss_contra: 0.0086 (0.0397) time: 2.8599 data: 0.0062 max mem: 31630 Epoch: [2] [2180/5278] eta: 2:26:55 lr: 4.7276745568666734e-05 loss: 0.1787 (0.1963) loss_seg: 0.1768 (0.1946) loss_lansim: 0.1167 (0.1232) loss_contra: 0.0086 (0.0397) time: 2.8586 data: 0.0063 max mem: 31630 Epoch: [2] [2190/5278] eta: 2:26:27 lr: 4.727460076904915e-05 loss: 0.1784 (0.1963) loss_seg: 0.1766 (0.1947) loss_lansim: 0.1167 (0.1232) loss_contra: 0.0086 (0.0396) time: 2.8649 data: 0.0064 max mem: 31630 Epoch: [2] [2200/5278] eta: 2:25:58 lr: 4.7272455958619586e-05 loss: 0.1821 (0.1965) loss_seg: 0.1804 (0.1948) loss_lansim: 0.1136 (0.1231) loss_contra: 0.0089 (0.0397) time: 2.8628 data: 0.0065 max mem: 31630 Epoch: [2] [2210/5278] eta: 2:25:30 lr: 4.7270311137377445e-05 loss: 0.1877 (0.1965) loss_seg: 0.1864 (0.1949) loss_lansim: 0.1136 (0.1231) loss_contra: 0.0093 (0.0397) time: 2.8621 data: 0.0065 max mem: 31630 Epoch: [2] [2220/5278] eta: 2:25:02 lr: 4.7268166305322116e-05 loss: 0.1877 (0.1966) loss_seg: 0.1864 (0.1950) loss_lansim: 0.1144 (0.1231) loss_contra: 0.0096 (0.0397) time: 2.8635 data: 0.0065 max mem: 31630 Epoch: [2] [2230/5278] eta: 2:24:33 lr: 4.726602146245302e-05 loss: 0.1877 (0.1965) loss_seg: 0.1864 (0.1948) loss_lansim: 0.1149 (0.1231) loss_contra: 0.0094 (0.0396) time: 2.8637 data: 0.0065 max mem: 31630 Epoch: [2] [2240/5278] eta: 2:24:05 lr: 4.726387660876954e-05 loss: 0.1879 (0.1965) loss_seg: 0.1865 (0.1949) loss_lansim: 0.1166 (0.1231) loss_contra: 0.0094 (0.0396) time: 2.8667 data: 0.0065 max mem: 31630 Epoch: [2] [2250/5278] eta: 2:23:37 lr: 4.726173174427107e-05 loss: 0.1833 (0.1964) loss_seg: 0.1816 (0.1948) loss_lansim: 0.1163 (0.1231) loss_contra: 0.0099 (0.0398) time: 2.8688 data: 0.0064 max mem: 31630 Epoch: [2] [2260/5278] eta: 2:23:09 lr: 4.725958686895703e-05 loss: 0.1884 (0.1965) loss_seg: 0.1872 (0.1948) loss_lansim: 0.1152 (0.1231) loss_contra: 0.0099 (0.0397) time: 2.8603 data: 0.0064 max mem: 31630 Epoch: [2] [2270/5278] eta: 2:22:40 lr: 4.7257441982826814e-05 loss: 0.1879 (0.1964) loss_seg: 0.1865 (0.1948) loss_lansim: 0.1154 (0.1230) loss_contra: 0.0102 (0.0396) time: 2.8572 data: 0.0063 max mem: 31630 Epoch: [2] [2280/5278] eta: 2:22:12 lr: 4.7255297085879817e-05 loss: 0.1879 (0.1964) loss_seg: 0.1865 (0.1948) loss_lansim: 0.1179 (0.1230) loss_contra: 0.0105 (0.0395) time: 2.8586 data: 0.0063 max mem: 31630 Epoch: [2] [2290/5278] eta: 2:21:44 lr: 4.725315217811544e-05 loss: 0.1879 (0.1966) loss_seg: 0.1865 (0.1950) loss_lansim: 0.1193 (0.1230) loss_contra: 0.0099 (0.0394) time: 2.8617 data: 0.0062 max mem: 31630 Epoch: [2] [2300/5278] eta: 2:21:16 lr: 4.725100725953308e-05 loss: 0.1847 (0.1965) loss_seg: 0.1831 (0.1949) loss_lansim: 0.1197 (0.1230) loss_contra: 0.0096 (0.0394) time: 2.8604 data: 0.0062 max mem: 31630 Epoch: [2] [2310/5278] eta: 2:20:48 lr: 4.724886233013215e-05 loss: 0.1833 (0.1967) loss_seg: 0.1816 (0.1950) loss_lansim: 0.1196 (0.1230) loss_contra: 0.0099 (0.0392) time: 2.8657 data: 0.0062 max mem: 31630 Epoch: [2] [2320/5278] eta: 2:20:20 lr: 4.724671738991203e-05 loss: 0.1835 (0.1966) loss_seg: 0.1820 (0.1950) loss_lansim: 0.1180 (0.1229) loss_contra: 0.0094 (0.0393) time: 2.8660 data: 0.0062 max mem: 31630 Epoch: [2] [2330/5278] eta: 2:19:51 lr: 4.724457243887214e-05 loss: 0.1872 (0.1968) loss_seg: 0.1859 (0.1952) loss_lansim: 0.1179 (0.1229) loss_contra: 0.0099 (0.0393) time: 2.8652 data: 0.0061 max mem: 31630 Epoch: [2] [2340/5278] eta: 2:19:23 lr: 4.724242747701186e-05 loss: 0.1876 (0.1969) loss_seg: 0.1865 (0.1953) loss_lansim: 0.1179 (0.1229) loss_contra: 0.0091 (0.0391) time: 2.8669 data: 0.0060 max mem: 31630 Epoch: [2] [2350/5278] eta: 2:18:55 lr: 4.7240282504330606e-05 loss: 0.1910 (0.1969) loss_seg: 0.1895 (0.1953) loss_lansim: 0.1179 (0.1228) loss_contra: 0.0091 (0.0392) time: 2.8617 data: 0.0060 max mem: 31630 Epoch: [2] [2360/5278] eta: 2:18:26 lr: 4.723813752082777e-05 loss: 0.1894 (0.1969) loss_seg: 0.1881 (0.1953) loss_lansim: 0.1153 (0.1228) loss_contra: 0.0111 (0.0392) time: 2.8611 data: 0.0059 max mem: 31630 Epoch: [2] [2370/5278] eta: 2:17:57 lr: 4.723599252650275e-05 loss: 0.1910 (0.1969) loss_seg: 0.1895 (0.1953) loss_lansim: 0.1147 (0.1227) loss_contra: 0.0125 (0.0393) time: 2.8614 data: 0.0059 max mem: 31630 Epoch: [2] [2380/5278] eta: 2:17:29 lr: 4.723384752135495e-05 loss: 0.1910 (0.1969) loss_seg: 0.1895 (0.1953) loss_lansim: 0.1111 (0.1226) loss_contra: 0.0111 (0.0393) time: 2.8585 data: 0.0059 max mem: 31630 Epoch: [2] [2390/5278] eta: 2:17:00 lr: 4.723170250538376e-05 loss: 0.1872 (0.1967) loss_seg: 0.1859 (0.1951) loss_lansim: 0.1085 (0.1226) loss_contra: 0.0138 (0.0393) time: 2.8479 data: 0.0058 max mem: 31630 Epoch: [2] [2400/5278] eta: 2:16:31 lr: 4.72295574785886e-05 loss: 0.1880 (0.1967) loss_seg: 0.1863 (0.1951) loss_lansim: 0.1085 (0.1225) loss_contra: 0.0131 (0.0392) time: 2.8490 data: 0.0058 max mem: 31630 Epoch: [2] [2410/5278] eta: 2:16:03 lr: 4.722741244096884e-05 loss: 0.1825 (0.1966) loss_seg: 0.1809 (0.1950) loss_lansim: 0.1086 (0.1225) loss_contra: 0.0162 (0.0392) time: 2.8438 data: 0.0057 max mem: 31630 Epoch: [2] [2420/5278] eta: 2:15:34 lr: 4.7225267392523904e-05 loss: 0.1796 (0.1966) loss_seg: 0.1777 (0.1950) loss_lansim: 0.1094 (0.1225) loss_contra: 0.0153 (0.0391) time: 2.8381 data: 0.0057 max mem: 31630 Epoch: [2] [2430/5278] eta: 2:15:05 lr: 4.722312233325317e-05 loss: 0.1796 (0.1966) loss_seg: 0.1777 (0.1949) loss_lansim: 0.1074 (0.1224) loss_contra: 0.0131 (0.0390) time: 2.8360 data: 0.0057 max mem: 31630 Epoch: [2] [2440/5278] eta: 2:14:36 lr: 4.7220977263156065e-05 loss: 0.1774 (0.1965) loss_seg: 0.1761 (0.1949) loss_lansim: 0.1066 (0.1223) loss_contra: 0.0108 (0.0389) time: 2.8287 data: 0.0058 max mem: 31630 Epoch: [2] [2450/5278] eta: 2:14:09 lr: 4.721883218223196e-05 loss: 0.1774 (0.1966) loss_seg: 0.1761 (0.1950) loss_lansim: 0.1070 (0.1223) loss_contra: 0.0084 (0.0387) time: 2.8356 data: 0.0058 max mem: 31630 Epoch: [2] [2460/5278] eta: 2:13:40 lr: 4.7216687090480265e-05 loss: 0.1774 (0.1966) loss_seg: 0.1761 (0.1950) loss_lansim: 0.1103 (0.1223) loss_contra: 0.0084 (0.0389) time: 2.8340 data: 0.0059 max mem: 31630 Epoch: [2] [2470/5278] eta: 2:13:11 lr: 4.721454198790038e-05 loss: 0.1743 (0.1966) loss_seg: 0.1729 (0.1949) loss_lansim: 0.1135 (0.1223) loss_contra: 0.0097 (0.0390) time: 2.8341 data: 0.0058 max mem: 31630 Epoch: [2] [2480/5278] eta: 2:12:42 lr: 4.721239687449171e-05 loss: 0.1743 (0.1966) loss_seg: 0.1729 (0.1949) loss_lansim: 0.1142 (0.1223) loss_contra: 0.0103 (0.0390) time: 2.8304 data: 0.0059 max mem: 31630 Epoch: [2] [2490/5278] eta: 2:12:15 lr: 4.7210251750253636e-05 loss: 0.1730 (0.1965) loss_seg: 0.1719 (0.1949) loss_lansim: 0.1144 (0.1223) loss_contra: 0.0090 (0.0389) time: 2.8417 data: 0.0060 max mem: 31630 Epoch: [2] [2500/5278] eta: 2:11:46 lr: 4.720810661518557e-05 loss: 0.1743 (0.1965) loss_seg: 0.1729 (0.1949) loss_lansim: 0.1153 (0.1223) loss_contra: 0.0087 (0.0389) time: 2.8396 data: 0.0060 max mem: 31630 Epoch: [2] [2510/5278] eta: 2:11:18 lr: 4.720596146928691e-05 loss: 0.1856 (0.1965) loss_seg: 0.1828 (0.1949) loss_lansim: 0.1167 (0.1224) loss_contra: 0.0082 (0.0388) time: 2.8429 data: 0.0061 max mem: 31630 Epoch: [2] [2520/5278] eta: 2:10:51 lr: 4.720381631255705e-05 loss: 0.1863 (0.1965) loss_seg: 0.1841 (0.1949) loss_lansim: 0.1187 (0.1225) loss_contra: 0.0082 (0.0388) time: 2.8590 data: 0.0061 max mem: 31630 Epoch: [2] [2530/5278] eta: 2:10:22 lr: 4.7201671144995384e-05 loss: 0.1856 (0.1965) loss_seg: 0.1828 (0.1949) loss_lansim: 0.1187 (0.1224) loss_contra: 0.0084 (0.0388) time: 2.8561 data: 0.0061 max mem: 31630 Epoch: [2] [2540/5278] eta: 2:09:54 lr: 4.719952596660133e-05 loss: 0.1864 (0.1965) loss_seg: 0.1843 (0.1949) loss_lansim: 0.1201 (0.1224) loss_contra: 0.0087 (0.0388) time: 2.8659 data: 0.0062 max mem: 31630 Epoch: [2] [2550/5278] eta: 2:09:26 lr: 4.7197380777374254e-05 loss: 0.1853 (0.1965) loss_seg: 0.1828 (0.1949) loss_lansim: 0.1193 (0.1224) loss_contra: 0.0108 (0.0391) time: 2.8635 data: 0.0062 max mem: 31630 Epoch: [2] [2560/5278] eta: 2:08:58 lr: 4.719523557731359e-05 loss: 0.1853 (0.1965) loss_seg: 0.1841 (0.1949) loss_lansim: 0.1191 (0.1223) loss_contra: 0.0090 (0.0390) time: 2.8719 data: 0.0062 max mem: 31630 Epoch: [2] [2570/5278] eta: 2:08:30 lr: 4.7193090366418714e-05 loss: 0.1871 (0.1967) loss_seg: 0.1860 (0.1951) loss_lansim: 0.1188 (0.1224) loss_contra: 0.0082 (0.0390) time: 2.8746 data: 0.0063 max mem: 31630 Epoch: [2] [2580/5278] eta: 2:08:01 lr: 4.719094514468902e-05 loss: 0.1906 (0.1968) loss_seg: 0.1890 (0.1952) loss_lansim: 0.1179 (0.1223) loss_contra: 0.0082 (0.0390) time: 2.8813 data: 0.0062 max mem: 31630 Epoch: [2] [2590/5278] eta: 2:07:34 lr: 4.718879991212393e-05 loss: 0.1938 (0.1968) loss_seg: 0.1926 (0.1952) loss_lansim: 0.1188 (0.1224) loss_contra: 0.0095 (0.0391) time: 2.8856 data: 0.0061 max mem: 31630 Epoch: [2] [2600/5278] eta: 2:07:06 lr: 4.7186654668722816e-05 loss: 0.1967 (0.1969) loss_seg: 0.1954 (0.1952) loss_lansim: 0.1197 (0.1224) loss_contra: 0.0106 (0.0393) time: 2.8914 data: 0.0061 max mem: 31630 Epoch: [2] [2610/5278] eta: 2:06:38 lr: 4.7184509414485097e-05 loss: 0.1935 (0.1969) loss_seg: 0.1918 (0.1952) loss_lansim: 0.1191 (0.1224) loss_contra: 0.0108 (0.0394) time: 2.8885 data: 0.0061 max mem: 31630 Epoch: [2] [2620/5278] eta: 2:06:09 lr: 4.718236414941015e-05 loss: 0.1931 (0.1968) loss_seg: 0.1914 (0.1952) loss_lansim: 0.1169 (0.1224) loss_contra: 0.0108 (0.0393) time: 2.8773 data: 0.0061 max mem: 31630 Epoch: [2] [2630/5278] eta: 2:05:41 lr: 4.718021887349739e-05 loss: 0.1938 (0.1969) loss_seg: 0.1926 (0.1953) loss_lansim: 0.1179 (0.1224) loss_contra: 0.0128 (0.0393) time: 2.8833 data: 0.0061 max mem: 31630 Epoch: [2] [2640/5278] eta: 2:05:12 lr: 4.717807358674621e-05 loss: 0.1938 (0.1970) loss_seg: 0.1926 (0.1954) loss_lansim: 0.1179 (0.1224) loss_contra: 0.0135 (0.0393) time: 2.8775 data: 0.0061 max mem: 31630 Epoch: [2] [2650/5278] eta: 2:04:44 lr: 4.7175928289155994e-05 loss: 0.1977 (0.1971) loss_seg: 0.1966 (0.1955) loss_lansim: 0.1201 (0.1224) loss_contra: 0.0128 (0.0393) time: 2.8712 data: 0.0060 max mem: 31630 Epoch: [2] [2660/5278] eta: 2:04:15 lr: 4.7173782980726164e-05 loss: 0.1989 (0.1971) loss_seg: 0.1971 (0.1955) loss_lansim: 0.1204 (0.1224) loss_contra: 0.0140 (0.0393) time: 2.8700 data: 0.0060 max mem: 31630 Epoch: [2] [2670/5278] eta: 2:03:47 lr: 4.7171637661456094e-05 loss: 0.1985 (0.1971) loss_seg: 0.1971 (0.1955) loss_lansim: 0.1201 (0.1224) loss_contra: 0.0135 (0.0393) time: 2.8638 data: 0.0059 max mem: 31630 Epoch: [2] [2680/5278] eta: 2:03:19 lr: 4.71694923313452e-05 loss: 0.1928 (0.1971) loss_seg: 0.1900 (0.1955) loss_lansim: 0.1201 (0.1224) loss_contra: 0.0140 (0.0393) time: 2.8688 data: 0.0059 max mem: 31630 Epoch: [2] [2690/5278] eta: 2:02:51 lr: 4.716734699039287e-05 loss: 0.1899 (0.1970) loss_seg: 0.1874 (0.1954) loss_lansim: 0.1198 (0.1224) loss_contra: 0.0140 (0.0392) time: 2.8623 data: 0.0058 max mem: 31630 Epoch: [2] [2700/5278] eta: 2:02:22 lr: 4.716520163859851e-05 loss: 0.1864 (0.1969) loss_seg: 0.1846 (0.1953) loss_lansim: 0.1195 (0.1224) loss_contra: 0.0119 (0.0391) time: 2.8534 data: 0.0058 max mem: 31630 Epoch: [2] [2710/5278] eta: 2:01:54 lr: 4.716305627596151e-05 loss: 0.1830 (0.1968) loss_seg: 0.1818 (0.1952) loss_lansim: 0.1194 (0.1224) loss_contra: 0.0119 (0.0391) time: 2.8572 data: 0.0058 max mem: 31630 Epoch: [2] [2720/5278] eta: 2:01:25 lr: 4.7160910902481254e-05 loss: 0.1830 (0.1967) loss_seg: 0.1818 (0.1951) loss_lansim: 0.1195 (0.1224) loss_contra: 0.0087 (0.0390) time: 2.8574 data: 0.0058 max mem: 31630 Epoch: [2] [2730/5278] eta: 2:00:57 lr: 4.715876551815716e-05 loss: 0.1816 (0.1971) loss_seg: 0.1803 (0.1954) loss_lansim: 0.1204 (0.1224) loss_contra: 0.0076 (0.0389) time: 2.8566 data: 0.0057 max mem: 31630 Epoch: [2] [2740/5278] eta: 2:00:28 lr: 4.715662012298862e-05 loss: 0.1830 (0.1972) loss_seg: 0.1818 (0.1955) loss_lansim: 0.1220 (0.1225) loss_contra: 0.0060 (0.0389) time: 2.8553 data: 0.0057 max mem: 31630 Epoch: [2] [2750/5278] eta: 2:00:00 lr: 4.715447471697503e-05 loss: 0.1800 (0.1971) loss_seg: 0.1785 (0.1955) loss_lansim: 0.1243 (0.1226) loss_contra: 0.0059 (0.0388) time: 2.8563 data: 0.0058 max mem: 31630 Epoch: [2] [2760/5278] eta: 1:59:31 lr: 4.715232930011578e-05 loss: 0.1764 (0.1970) loss_seg: 0.1752 (0.1954) loss_lansim: 0.1255 (0.1227) loss_contra: 0.0060 (0.0387) time: 2.8542 data: 0.0058 max mem: 31630 Epoch: [2] [2770/5278] eta: 1:59:03 lr: 4.715018387241027e-05 loss: 0.1721 (0.1970) loss_seg: 0.1706 (0.1954) loss_lansim: 0.1271 (0.1227) loss_contra: 0.0060 (0.0387) time: 2.8639 data: 0.0058 max mem: 31630 Epoch: [2] [2780/5278] eta: 1:58:35 lr: 4.714803843385791e-05 loss: 0.1709 (0.1969) loss_seg: 0.1693 (0.1953) loss_lansim: 0.1271 (0.1227) loss_contra: 0.0066 (0.0388) time: 2.8594 data: 0.0059 max mem: 31630 Epoch: [2] [2790/5278] eta: 1:58:06 lr: 4.7145892984458077e-05 loss: 0.1709 (0.1968) loss_seg: 0.1693 (0.1952) loss_lansim: 0.1271 (0.1227) loss_contra: 0.0066 (0.0390) time: 2.8540 data: 0.0059 max mem: 31630 Epoch: [2] [2800/5278] eta: 1:57:38 lr: 4.714374752421018e-05 loss: 0.1705 (0.1967) loss_seg: 0.1693 (0.1951) loss_lansim: 0.1276 (0.1227) loss_contra: 0.0080 (0.0390) time: 2.8602 data: 0.0059 max mem: 31630 Epoch: [2] [2810/5278] eta: 1:57:10 lr: 4.714160205311361e-05 loss: 0.1721 (0.1967) loss_seg: 0.1706 (0.1951) loss_lansim: 0.1271 (0.1227) loss_contra: 0.0062 (0.0389) time: 2.8602 data: 0.0060 max mem: 31630 Epoch: [2] [2820/5278] eta: 1:56:42 lr: 4.713945657116777e-05 loss: 0.1763 (0.1967) loss_seg: 0.1746 (0.1951) loss_lansim: 0.1259 (0.1227) loss_contra: 0.0084 (0.0388) time: 2.8648 data: 0.0060 max mem: 31630 Epoch: [2] [2830/5278] eta: 1:56:14 lr: 4.7137311078372046e-05 loss: 0.1738 (0.1966) loss_seg: 0.1719 (0.1950) loss_lansim: 0.1250 (0.1227) loss_contra: 0.0084 (0.0388) time: 2.8719 data: 0.0060 max mem: 31630 Epoch: [2] [2840/5278] eta: 1:55:46 lr: 4.713516557472585e-05 loss: 0.1727 (0.1966) loss_seg: 0.1707 (0.1950) loss_lansim: 0.1250 (0.1227) loss_contra: 0.0086 (0.0387) time: 2.8739 data: 0.0060 max mem: 31630 Epoch: [2] [2850/5278] eta: 1:55:17 lr: 4.713302006022856e-05 loss: 0.1733 (0.1966) loss_seg: 0.1709 (0.1950) loss_lansim: 0.1220 (0.1227) loss_contra: 0.0086 (0.0388) time: 2.8776 data: 0.0059 max mem: 31630 Epoch: [2] [2860/5278] eta: 1:54:49 lr: 4.713087453487959e-05 loss: 0.1775 (0.1965) loss_seg: 0.1761 (0.1949) loss_lansim: 0.1210 (0.1227) loss_contra: 0.0086 (0.0387) time: 2.8818 data: 0.0059 max mem: 31630 Epoch: [2] [2870/5278] eta: 1:54:20 lr: 4.712872899867832e-05 loss: 0.1780 (0.1965) loss_seg: 0.1766 (0.1949) loss_lansim: 0.1206 (0.1227) loss_contra: 0.0081 (0.0386) time: 2.8708 data: 0.0059 max mem: 31630 Epoch: [2] [2880/5278] eta: 1:53:52 lr: 4.712658345162415e-05 loss: 0.1780 (0.1966) loss_seg: 0.1766 (0.1950) loss_lansim: 0.1210 (0.1227) loss_contra: 0.0070 (0.0385) time: 2.8711 data: 0.0058 max mem: 31630 Epoch: [2] [2890/5278] eta: 1:53:23 lr: 4.712443789371649e-05 loss: 0.1765 (0.1965) loss_seg: 0.1751 (0.1949) loss_lansim: 0.1247 (0.1228) loss_contra: 0.0072 (0.0385) time: 2.8700 data: 0.0058 max mem: 31630 Epoch: [2] [2900/5278] eta: 1:52:55 lr: 4.712229232495472e-05 loss: 0.1782 (0.1965) loss_seg: 0.1767 (0.1949) loss_lansim: 0.1259 (0.1228) loss_contra: 0.0070 (0.0384) time: 2.8718 data: 0.0058 max mem: 31630 Epoch: [2] [2910/5278] eta: 1:52:27 lr: 4.712014674533825e-05 loss: 0.1780 (0.1965) loss_seg: 0.1766 (0.1949) loss_lansim: 0.1265 (0.1228) loss_contra: 0.0080 (0.0384) time: 2.8708 data: 0.0058 max mem: 31630 Epoch: [2] [2920/5278] eta: 1:51:58 lr: 4.711800115486645e-05 loss: 0.1765 (0.1964) loss_seg: 0.1751 (0.1948) loss_lansim: 0.1265 (0.1228) loss_contra: 0.0086 (0.0385) time: 2.8593 data: 0.0057 max mem: 31630 Epoch: [2] [2930/5278] eta: 1:51:30 lr: 4.711585555353875e-05 loss: 0.1782 (0.1964) loss_seg: 0.1767 (0.1948) loss_lansim: 0.1271 (0.1229) loss_contra: 0.0086 (0.0384) time: 2.8554 data: 0.0057 max mem: 31630 Epoch: [2] [2940/5278] eta: 1:51:01 lr: 4.7113709941354525e-05 loss: 0.1758 (0.1964) loss_seg: 0.1746 (0.1947) loss_lansim: 0.1265 (0.1229) loss_contra: 0.0087 (0.0383) time: 2.8535 data: 0.0058 max mem: 31630 Epoch: [2] [2950/5278] eta: 1:50:32 lr: 4.711156431831317e-05 loss: 0.1758 (0.1964) loss_seg: 0.1746 (0.1947) loss_lansim: 0.1277 (0.1229) loss_contra: 0.0085 (0.0383) time: 2.8497 data: 0.0058 max mem: 31630 Epoch: [2] [2960/5278] eta: 1:50:04 lr: 4.710941868441409e-05 loss: 0.1725 (0.1963) loss_seg: 0.1712 (0.1947) loss_lansim: 0.1271 (0.1229) loss_contra: 0.0081 (0.0382) time: 2.8497 data: 0.0058 max mem: 31630 Epoch: [2] [2970/5278] eta: 1:49:35 lr: 4.710727303965668e-05 loss: 0.1736 (0.1962) loss_seg: 0.1724 (0.1946) loss_lansim: 0.1256 (0.1228) loss_contra: 0.0081 (0.0381) time: 2.8512 data: 0.0058 max mem: 31630 Epoch: [2] [2980/5278] eta: 1:49:07 lr: 4.710512738404033e-05 loss: 0.1774 (0.1964) loss_seg: 0.1762 (0.1948) loss_lansim: 0.1252 (0.1228) loss_contra: 0.0081 (0.0380) time: 2.8476 data: 0.0057 max mem: 31630 Epoch: [2] [2990/5278] eta: 1:48:39 lr: 4.710298171756443e-05 loss: 0.1782 (0.1964) loss_seg: 0.1767 (0.1948) loss_lansim: 0.1217 (0.1228) loss_contra: 0.0070 (0.0380) time: 2.8506 data: 0.0057 max mem: 31630 Epoch: [2] [3000/5278] eta: 1:48:10 lr: 4.710083604022839e-05 loss: 0.1774 (0.1963) loss_seg: 0.1762 (0.1947) loss_lansim: 0.1185 (0.1228) loss_contra: 0.0085 (0.0380) time: 2.8507 data: 0.0057 max mem: 31630 Epoch: [2] [3010/5278] eta: 1:47:42 lr: 4.709869035203159e-05 loss: 0.1789 (0.1963) loss_seg: 0.1777 (0.1947) loss_lansim: 0.1166 (0.1228) loss_contra: 0.0078 (0.0380) time: 2.8504 data: 0.0057 max mem: 31630 Epoch: [2] [3020/5278] eta: 1:47:14 lr: 4.709654465297344e-05 loss: 0.1788 (0.1963) loss_seg: 0.1777 (0.1946) loss_lansim: 0.1159 (0.1227) loss_contra: 0.0065 (0.0379) time: 2.8562 data: 0.0057 max mem: 31630 Epoch: [2] [3030/5278] eta: 1:46:45 lr: 4.709439894305333e-05 loss: 0.1774 (0.1963) loss_seg: 0.1762 (0.1947) loss_lansim: 0.1157 (0.1227) loss_contra: 0.0070 (0.0379) time: 2.8577 data: 0.0057 max mem: 31630 Epoch: [2] [3040/5278] eta: 1:46:17 lr: 4.709225322227065e-05 loss: 0.1783 (0.1963) loss_seg: 0.1771 (0.1947) loss_lansim: 0.1166 (0.1227) loss_contra: 0.0068 (0.0379) time: 2.8582 data: 0.0057 max mem: 31630 Epoch: [2] [3050/5278] eta: 1:45:49 lr: 4.70901074906248e-05 loss: 0.1788 (0.1963) loss_seg: 0.1777 (0.1947) loss_lansim: 0.1159 (0.1227) loss_contra: 0.0070 (0.0379) time: 2.8641 data: 0.0057 max mem: 31630 Epoch: [2] [3060/5278] eta: 1:45:20 lr: 4.708796174811517e-05 loss: 0.1806 (0.1962) loss_seg: 0.1792 (0.1946) loss_lansim: 0.1159 (0.1227) loss_contra: 0.0070 (0.0378) time: 2.8567 data: 0.0057 max mem: 31630 Epoch: [2] [3070/5278] eta: 1:44:51 lr: 4.7085815994741165e-05 loss: 0.1772 (0.1962) loss_seg: 0.1760 (0.1946) loss_lansim: 0.1163 (0.1227) loss_contra: 0.0070 (0.0377) time: 2.8600 data: 0.0057 max mem: 31630 Epoch: [2] [3080/5278] eta: 1:44:23 lr: 4.708367023050217e-05 loss: 0.1740 (0.1962) loss_seg: 0.1718 (0.1946) loss_lansim: 0.1167 (0.1227) loss_contra: 0.0065 (0.0376) time: 2.8666 data: 0.0058 max mem: 31630 Epoch: [2] [3090/5278] eta: 1:43:55 lr: 4.708152445539758e-05 loss: 0.1724 (0.1961) loss_seg: 0.1711 (0.1945) loss_lansim: 0.1174 (0.1227) loss_contra: 0.0067 (0.0375) time: 2.8725 data: 0.0059 max mem: 31630 Epoch: [2] [3100/5278] eta: 1:43:27 lr: 4.7079378669426796e-05 loss: 0.1724 (0.1961) loss_seg: 0.1711 (0.1945) loss_lansim: 0.1176 (0.1227) loss_contra: 0.0058 (0.0374) time: 2.8659 data: 0.0059 max mem: 31630 Epoch: [2] [3110/5278] eta: 1:42:58 lr: 4.707723287258921e-05 loss: 0.1718 (0.1960) loss_seg: 0.1706 (0.1944) loss_lansim: 0.1176 (0.1226) loss_contra: 0.0058 (0.0373) time: 2.8681 data: 0.0059 max mem: 31630 Epoch: [2] [3120/5278] eta: 1:42:30 lr: 4.707508706488422e-05 loss: 0.1754 (0.1962) loss_seg: 0.1724 (0.1946) loss_lansim: 0.1180 (0.1226) loss_contra: 0.0060 (0.0373) time: 2.8681 data: 0.0060 max mem: 31630 Epoch: [2] [3130/5278] eta: 1:42:01 lr: 4.7072941246311204e-05 loss: 0.1774 (0.1961) loss_seg: 0.1761 (0.1945) loss_lansim: 0.1180 (0.1226) loss_contra: 0.0051 (0.0373) time: 2.8620 data: 0.0060 max mem: 31630 Epoch: [2] [3140/5278] eta: 1:41:33 lr: 4.707079541686958e-05 loss: 0.1774 (0.1962) loss_seg: 0.1764 (0.1946) loss_lansim: 0.1176 (0.1226) loss_contra: 0.0045 (0.0373) time: 2.8644 data: 0.0060 max mem: 31630 Epoch: [2] [3150/5278] eta: 1:41:04 lr: 4.7068649576558725e-05 loss: 0.1774 (0.1962) loss_seg: 0.1764 (0.1946) loss_lansim: 0.1174 (0.1226) loss_contra: 0.0038 (0.0372) time: 2.8582 data: 0.0060 max mem: 31630 Epoch: [2] [3160/5278] eta: 1:40:36 lr: 4.7066503725378046e-05 loss: 0.1791 (0.1961) loss_seg: 0.1782 (0.1945) loss_lansim: 0.1174 (0.1225) loss_contra: 0.0045 (0.0372) time: 2.8604 data: 0.0060 max mem: 31630 Epoch: [2] [3170/5278] eta: 1:40:08 lr: 4.706435786332693e-05 loss: 0.1839 (0.1963) loss_seg: 0.1824 (0.1947) loss_lansim: 0.1166 (0.1225) loss_contra: 0.0045 (0.0372) time: 2.8669 data: 0.0060 max mem: 31630 Epoch: [2] [3180/5278] eta: 1:39:39 lr: 4.706221199040477e-05 loss: 0.1884 (0.1962) loss_seg: 0.1872 (0.1946) loss_lansim: 0.1143 (0.1225) loss_contra: 0.0054 (0.0371) time: 2.8619 data: 0.0060 max mem: 31630 Epoch: [2] [3190/5278] eta: 1:39:11 lr: 4.706006610661097e-05 loss: 0.1880 (0.1962) loss_seg: 0.1870 (0.1946) loss_lansim: 0.1155 (0.1225) loss_contra: 0.0044 (0.0370) time: 2.8565 data: 0.0059 max mem: 31630 Epoch: [2] [3200/5278] eta: 1:38:43 lr: 4.7057920211944906e-05 loss: 0.1913 (0.1963) loss_seg: 0.1896 (0.1947) loss_lansim: 0.1130 (0.1224) loss_contra: 0.0045 (0.0369) time: 2.8647 data: 0.0059 max mem: 31630 Epoch: [2] [3210/5278] eta: 1:38:14 lr: 4.705577430640599e-05 loss: 0.1954 (0.1963) loss_seg: 0.1939 (0.1947) loss_lansim: 0.1126 (0.1224) loss_contra: 0.0045 (0.0369) time: 2.8588 data: 0.0059 max mem: 31630 Epoch: [2] [3220/5278] eta: 1:37:45 lr: 4.70536283899936e-05 loss: 0.1913 (0.1963) loss_seg: 0.1896 (0.1947) loss_lansim: 0.1122 (0.1224) loss_contra: 0.0055 (0.0369) time: 2.8584 data: 0.0059 max mem: 31630 Epoch: [2] [3230/5278] eta: 1:37:17 lr: 4.7051482462707156e-05 loss: 0.1913 (0.1963) loss_seg: 0.1896 (0.1947) loss_lansim: 0.1108 (0.1223) loss_contra: 0.0045 (0.0368) time: 2.8612 data: 0.0058 max mem: 31630 Epoch: [2] [3240/5278] eta: 1:36:48 lr: 4.704933652454602e-05 loss: 0.1906 (0.1963) loss_seg: 0.1894 (0.1947) loss_lansim: 0.1108 (0.1223) loss_contra: 0.0045 (0.0368) time: 2.8599 data: 0.0058 max mem: 31630 Epoch: [2] [3250/5278] eta: 1:36:20 lr: 4.70471905755096e-05 loss: 0.1839 (0.1962) loss_seg: 0.1828 (0.1946) loss_lansim: 0.1108 (0.1223) loss_contra: 0.0056 (0.0368) time: 2.8676 data: 0.0058 max mem: 31630 Epoch: [2] [3260/5278] eta: 1:35:52 lr: 4.7045044615597296e-05 loss: 0.1894 (0.1962) loss_seg: 0.1880 (0.1946) loss_lansim: 0.1109 (0.1223) loss_contra: 0.0054 (0.0369) time: 2.8649 data: 0.0057 max mem: 31630 Epoch: [2] [3270/5278] eta: 1:35:23 lr: 4.70428986448085e-05 loss: 0.1843 (0.1962) loss_seg: 0.1830 (0.1946) loss_lansim: 0.1107 (0.1222) loss_contra: 0.0054 (0.0368) time: 2.8630 data: 0.0057 max mem: 31630 Epoch: [2] [3280/5278] eta: 1:34:55 lr: 4.704075266314259e-05 loss: 0.1808 (0.1962) loss_seg: 0.1792 (0.1946) loss_lansim: 0.1109 (0.1222) loss_contra: 0.0054 (0.0368) time: 2.8625 data: 0.0058 max mem: 31630 Epoch: [2] [3290/5278] eta: 1:34:26 lr: 4.703860667059897e-05 loss: 0.1808 (0.1962) loss_seg: 0.1792 (0.1946) loss_lansim: 0.1109 (0.1222) loss_contra: 0.0055 (0.0367) time: 2.8615 data: 0.0057 max mem: 31630 Epoch: [2] [3300/5278] eta: 1:33:58 lr: 4.703646066717705e-05 loss: 0.1755 (0.1962) loss_seg: 0.1744 (0.1946) loss_lansim: 0.1109 (0.1221) loss_contra: 0.0061 (0.0367) time: 2.8602 data: 0.0057 max mem: 31630 Epoch: [2] [3310/5278] eta: 1:33:29 lr: 4.7034314652876194e-05 loss: 0.1739 (0.1962) loss_seg: 0.1727 (0.1946) loss_lansim: 0.1111 (0.1221) loss_contra: 0.0068 (0.0367) time: 2.8594 data: 0.0058 max mem: 31630 Epoch: [2] [3320/5278] eta: 1:33:01 lr: 4.703216862769582e-05 loss: 0.1753 (0.1962) loss_seg: 0.1742 (0.1946) loss_lansim: 0.1107 (0.1221) loss_contra: 0.0055 (0.0367) time: 2.8626 data: 0.0057 max mem: 31630 Epoch: [2] [3330/5278] eta: 1:32:33 lr: 4.70300225916353e-05 loss: 0.1753 (0.1961) loss_seg: 0.1742 (0.1946) loss_lansim: 0.1109 (0.1221) loss_contra: 0.0055 (0.0366) time: 2.8663 data: 0.0057 max mem: 31630 Epoch: [2] [3340/5278] eta: 1:32:04 lr: 4.7027876544694036e-05 loss: 0.1755 (0.1961) loss_seg: 0.1744 (0.1946) loss_lansim: 0.1112 (0.1220) loss_contra: 0.0077 (0.0366) time: 2.8605 data: 0.0057 max mem: 31630 Epoch: [2] [3350/5278] eta: 1:31:36 lr: 4.702573048687143e-05 loss: 0.1863 (0.1962) loss_seg: 0.1847 (0.1946) loss_lansim: 0.1112 (0.1220) loss_contra: 0.0062 (0.0366) time: 2.8597 data: 0.0057 max mem: 31630 Epoch: [2] [3360/5278] eta: 1:31:07 lr: 4.702358441816687e-05 loss: 0.1854 (0.1962) loss_seg: 0.1841 (0.1946) loss_lansim: 0.1113 (0.1220) loss_contra: 0.0069 (0.0366) time: 2.8606 data: 0.0057 max mem: 31630 Epoch: [2] [3370/5278] eta: 1:30:39 lr: 4.702143833857973e-05 loss: 0.1854 (0.1962) loss_seg: 0.1841 (0.1946) loss_lansim: 0.1134 (0.1220) loss_contra: 0.0069 (0.0365) time: 2.8621 data: 0.0057 max mem: 31630 Epoch: [2] [3380/5278] eta: 1:30:11 lr: 4.701929224810943e-05 loss: 0.1821 (0.1961) loss_seg: 0.1801 (0.1946) loss_lansim: 0.1119 (0.1220) loss_contra: 0.0077 (0.0365) time: 2.8642 data: 0.0056 max mem: 31630 Epoch: [2] [3390/5278] eta: 1:29:42 lr: 4.7017146146755356e-05 loss: 0.1821 (0.1961) loss_seg: 0.1801 (0.1946) loss_lansim: 0.1119 (0.1220) loss_contra: 0.0069 (0.0365) time: 2.8655 data: 0.0056 max mem: 31630 Epoch: [2] [3400/5278] eta: 1:29:14 lr: 4.70150000345169e-05 loss: 0.1844 (0.1961) loss_seg: 0.1829 (0.1945) loss_lansim: 0.1134 (0.1220) loss_contra: 0.0069 (0.0365) time: 2.8616 data: 0.0056 max mem: 31630 Epoch: [2] [3410/5278] eta: 1:28:45 lr: 4.701285391139345e-05 loss: 0.1856 (0.1962) loss_seg: 0.1846 (0.1946) loss_lansim: 0.1153 (0.1220) loss_contra: 0.0065 (0.0364) time: 2.8696 data: 0.0055 max mem: 31630 Epoch: [2] [3420/5278] eta: 1:28:17 lr: 4.701070777738439e-05 loss: 0.1844 (0.1961) loss_seg: 0.1829 (0.1945) loss_lansim: 0.1171 (0.1220) loss_contra: 0.0083 (0.0364) time: 2.8635 data: 0.0056 max mem: 31630 Epoch: [2] [3430/5278] eta: 1:27:48 lr: 4.7008561632489127e-05 loss: 0.1821 (0.1961) loss_seg: 0.1801 (0.1945) loss_lansim: 0.1189 (0.1220) loss_contra: 0.0083 (0.0364) time: 2.8607 data: 0.0055 max mem: 31630 Epoch: [2] [3440/5278] eta: 1:27:20 lr: 4.700641547670706e-05 loss: 0.1795 (0.1961) loss_seg: 0.1777 (0.1945) loss_lansim: 0.1197 (0.1220) loss_contra: 0.0066 (0.0363) time: 2.8700 data: 0.0055 max mem: 31630 Epoch: [2] [3450/5278] eta: 1:26:52 lr: 4.700426931003756e-05 loss: 0.1812 (0.1961) loss_seg: 0.1783 (0.1946) loss_lansim: 0.1197 (0.1220) loss_contra: 0.0066 (0.0364) time: 2.8685 data: 0.0055 max mem: 31630 Epoch: [2] [3460/5278] eta: 1:26:23 lr: 4.700212313248004e-05 loss: 0.1789 (0.1962) loss_seg: 0.1767 (0.1946) loss_lansim: 0.1195 (0.1220) loss_contra: 0.0066 (0.0363) time: 2.8755 data: 0.0055 max mem: 31630 Epoch: [2] [3470/5278] eta: 1:25:55 lr: 4.699997694403387e-05 loss: 0.1796 (0.1961) loss_seg: 0.1783 (0.1946) loss_lansim: 0.1195 (0.1220) loss_contra: 0.0066 (0.0363) time: 2.8701 data: 0.0056 max mem: 31630 Epoch: [2] [3480/5278] eta: 1:25:26 lr: 4.699783074469847e-05 loss: 0.1826 (0.1961) loss_seg: 0.1798 (0.1945) loss_lansim: 0.1189 (0.1219) loss_contra: 0.0065 (0.0362) time: 2.8694 data: 0.0056 max mem: 31630 Epoch: [2] [3490/5278] eta: 1:24:58 lr: 4.699568453447321e-05 loss: 0.1812 (0.1961) loss_seg: 0.1784 (0.1945) loss_lansim: 0.1183 (0.1219) loss_contra: 0.0071 (0.0362) time: 2.8780 data: 0.0056 max mem: 31630 Epoch: [2] [3500/5278] eta: 1:24:30 lr: 4.6993538313357495e-05 loss: 0.1795 (0.1961) loss_seg: 0.1777 (0.1945) loss_lansim: 0.1171 (0.1219) loss_contra: 0.0083 (0.0362) time: 2.8765 data: 0.0056 max mem: 31630 Epoch: [2] [3510/5278] eta: 1:24:02 lr: 4.699139208135071e-05 loss: 0.1795 (0.1961) loss_seg: 0.1777 (0.1945) loss_lansim: 0.1155 (0.1219) loss_contra: 0.0087 (0.0361) time: 2.8808 data: 0.0056 max mem: 31630 Epoch: [2] [3520/5278] eta: 1:23:33 lr: 4.6989245838452236e-05 loss: 0.1826 (0.1962) loss_seg: 0.1809 (0.1947) loss_lansim: 0.1156 (0.1219) loss_contra: 0.0085 (0.0362) time: 2.8886 data: 0.0057 max mem: 31630 Epoch: [2] [3530/5278] eta: 1:23:05 lr: 4.69870995846615e-05 loss: 0.1812 (0.1962) loss_seg: 0.1784 (0.1946) loss_lansim: 0.1152 (0.1219) loss_contra: 0.0085 (0.0361) time: 2.8850 data: 0.0057 max mem: 31630 Epoch: [2] [3540/5278] eta: 1:22:36 lr: 4.698495331997785e-05 loss: 0.1835 (0.1962) loss_seg: 0.1822 (0.1946) loss_lansim: 0.1163 (0.1219) loss_contra: 0.0093 (0.0361) time: 2.8822 data: 0.0057 max mem: 31630 Epoch: [2] [3550/5278] eta: 1:22:08 lr: 4.6982807044400714e-05 loss: 0.1824 (0.1962) loss_seg: 0.1809 (0.1947) loss_lansim: 0.1148 (0.1219) loss_contra: 0.0094 (0.0361) time: 2.8793 data: 0.0058 max mem: 31630 Epoch: [2] [3560/5278] eta: 1:21:39 lr: 4.6980660757929465e-05 loss: 0.1824 (0.1962) loss_seg: 0.1809 (0.1946) loss_lansim: 0.1147 (0.1218) loss_contra: 0.0093 (0.0361) time: 2.8736 data: 0.0058 max mem: 31630 Epoch: [2] [3570/5278] eta: 1:21:11 lr: 4.69785144605635e-05 loss: 0.1793 (0.1961) loss_seg: 0.1784 (0.1945) loss_lansim: 0.1148 (0.1218) loss_contra: 0.0093 (0.0361) time: 2.8730 data: 0.0058 max mem: 31630 Epoch: [2] [3580/5278] eta: 1:20:42 lr: 4.697636815230221e-05 loss: 0.1793 (0.1961) loss_seg: 0.1784 (0.1945) loss_lansim: 0.1141 (0.1218) loss_contra: 0.0094 (0.0361) time: 2.8710 data: 0.0058 max mem: 31630 Epoch: [2] [3590/5278] eta: 1:20:14 lr: 4.697422183314498e-05 loss: 0.1790 (0.1960) loss_seg: 0.1772 (0.1944) loss_lansim: 0.1146 (0.1218) loss_contra: 0.0093 (0.0361) time: 2.8649 data: 0.0058 max mem: 31630 Epoch: [2] [3600/5278] eta: 1:19:45 lr: 4.6972075503091216e-05 loss: 0.1793 (0.1960) loss_seg: 0.1784 (0.1944) loss_lansim: 0.1155 (0.1217) loss_contra: 0.0071 (0.0360) time: 2.8668 data: 0.0058 max mem: 31630 Epoch: [2] [3610/5278] eta: 1:19:17 lr: 4.6969929162140305e-05 loss: 0.1747 (0.1960) loss_seg: 0.1732 (0.1944) loss_lansim: 0.1155 (0.1217) loss_contra: 0.0064 (0.0360) time: 2.8613 data: 0.0058 max mem: 31630 Epoch: [2] [3620/5278] eta: 1:18:48 lr: 4.6967782810291625e-05 loss: 0.1710 (0.1959) loss_seg: 0.1699 (0.1944) loss_lansim: 0.1157 (0.1217) loss_contra: 0.0061 (0.0359) time: 2.8556 data: 0.0058 max mem: 31630 Epoch: [2] [3630/5278] eta: 1:18:20 lr: 4.6965636447544584e-05 loss: 0.1813 (0.1960) loss_seg: 0.1801 (0.1944) loss_lansim: 0.1148 (0.1217) loss_contra: 0.0071 (0.0360) time: 2.8603 data: 0.0058 max mem: 31630 Epoch: [2] [3640/5278] eta: 1:17:52 lr: 4.696349007389856e-05 loss: 0.1793 (0.1959) loss_seg: 0.1784 (0.1943) loss_lansim: 0.1148 (0.1217) loss_contra: 0.0071 (0.0359) time: 2.8695 data: 0.0058 max mem: 31630 Epoch: [2] [3650/5278] eta: 1:17:23 lr: 4.696134368935296e-05 loss: 0.1813 (0.1959) loss_seg: 0.1801 (0.1943) loss_lansim: 0.1155 (0.1217) loss_contra: 0.0069 (0.0360) time: 2.8694 data: 0.0058 max mem: 31630 Epoch: [2] [3660/5278] eta: 1:16:56 lr: 4.6959197293907146e-05 loss: 0.1822 (0.1959) loss_seg: 0.1809 (0.1943) loss_lansim: 0.1146 (0.1216) loss_contra: 0.0069 (0.0359) time: 2.8839 data: 0.0058 max mem: 31630 Epoch: [2] [3670/5278] eta: 1:16:27 lr: 4.695705088756054e-05 loss: 0.1816 (0.1959) loss_seg: 0.1801 (0.1943) loss_lansim: 0.1146 (0.1216) loss_contra: 0.0061 (0.0359) time: 2.8929 data: 0.0058 max mem: 31630 Epoch: [2] [3680/5278] eta: 1:15:59 lr: 4.695490447031253e-05 loss: 0.1803 (0.1958) loss_seg: 0.1778 (0.1942) loss_lansim: 0.1164 (0.1216) loss_contra: 0.0071 (0.0359) time: 2.8904 data: 0.0058 max mem: 31630 Epoch: [2] [3690/5278] eta: 1:15:30 lr: 4.695275804216249e-05 loss: 0.1832 (0.1959) loss_seg: 0.1812 (0.1943) loss_lansim: 0.1180 (0.1216) loss_contra: 0.0071 (0.0360) time: 2.8885 data: 0.0059 max mem: 31630 Epoch: [2] [3700/5278] eta: 1:15:02 lr: 4.695061160310982e-05 loss: 0.1843 (0.1958) loss_seg: 0.1827 (0.1943) loss_lansim: 0.1164 (0.1216) loss_contra: 0.0067 (0.0359) time: 2.8937 data: 0.0059 max mem: 31630 Epoch: [2] [3710/5278] eta: 1:14:33 lr: 4.694846515315391e-05 loss: 0.1832 (0.1958) loss_seg: 0.1809 (0.1942) loss_lansim: 0.1155 (0.1216) loss_contra: 0.0067 (0.0359) time: 2.8854 data: 0.0060 max mem: 31630 Epoch: [2] [3720/5278] eta: 1:14:05 lr: 4.694631869229415e-05 loss: 0.1816 (0.1958) loss_seg: 0.1799 (0.1942) loss_lansim: 0.1144 (0.1215) loss_contra: 0.0071 (0.0359) time: 2.8946 data: 0.0061 max mem: 31630 Epoch: [2] [3730/5278] eta: 1:13:37 lr: 4.6944172220529934e-05 loss: 0.1795 (0.1957) loss_seg: 0.1777 (0.1941) loss_lansim: 0.1134 (0.1215) loss_contra: 0.0063 (0.0358) time: 2.8979 data: 0.0063 max mem: 31630 Epoch: [2] [3740/5278] eta: 1:13:08 lr: 4.6942025737860653e-05 loss: 0.1792 (0.1956) loss_seg: 0.1777 (0.1940) loss_lansim: 0.1109 (0.1214) loss_contra: 0.0056 (0.0358) time: 2.8932 data: 0.0063 max mem: 31630 Epoch: [2] [3750/5278] eta: 1:12:40 lr: 4.693987924428568e-05 loss: 0.1772 (0.1956) loss_seg: 0.1760 (0.1940) loss_lansim: 0.1108 (0.1214) loss_contra: 0.0056 (0.0358) time: 2.9047 data: 0.0063 max mem: 31630 Epoch: [2] [3760/5278] eta: 1:12:12 lr: 4.6937732739804435e-05 loss: 0.1768 (0.1956) loss_seg: 0.1753 (0.1940) loss_lansim: 0.1096 (0.1214) loss_contra: 0.0063 (0.0359) time: 2.9059 data: 0.0064 max mem: 31630 Epoch: [2] [3770/5278] eta: 1:11:45 lr: 4.69355862244163e-05 loss: 0.1747 (0.1955) loss_seg: 0.1736 (0.1939) loss_lansim: 0.1096 (0.1214) loss_contra: 0.0067 (0.0358) time: 2.9199 data: 0.0066 max mem: 31630 Epoch: [2] [3780/5278] eta: 1:11:17 lr: 4.693343969812064e-05 loss: 0.1757 (0.1956) loss_seg: 0.1746 (0.1941) loss_lansim: 0.1092 (0.1214) loss_contra: 0.0063 (0.0359) time: 2.9427 data: 0.0067 max mem: 31630 Epoch: [2] [3790/5278] eta: 1:10:49 lr: 4.693129316091687e-05 loss: 0.1757 (0.1957) loss_seg: 0.1746 (0.1941) loss_lansim: 0.1091 (0.1214) loss_contra: 0.0085 (0.0359) time: 2.9661 data: 0.0068 max mem: 31630 Epoch: [2] [3800/5278] eta: 1:10:21 lr: 4.692914661280437e-05 loss: 0.1747 (0.1956) loss_seg: 0.1736 (0.1940) loss_lansim: 0.1108 (0.1214) loss_contra: 0.0088 (0.0360) time: 2.9755 data: 0.0069 max mem: 31630 Epoch: [2] [3810/5278] eta: 1:09:53 lr: 4.6927000053782547e-05 loss: 0.1776 (0.1956) loss_seg: 0.1765 (0.1941) loss_lansim: 0.1115 (0.1213) loss_contra: 0.0095 (0.0359) time: 2.9985 data: 0.0069 max mem: 31630 Epoch: [2] [3820/5278] eta: 1:09:26 lr: 4.692485348385078e-05 loss: 0.1792 (0.1957) loss_seg: 0.1782 (0.1941) loss_lansim: 0.1118 (0.1213) loss_contra: 0.0114 (0.0360) time: 3.0106 data: 0.0068 max mem: 31630 Epoch: [2] [3830/5278] eta: 1:08:58 lr: 4.692270690300844e-05 loss: 0.1824 (0.1957) loss_seg: 0.1813 (0.1941) loss_lansim: 0.1137 (0.1213) loss_contra: 0.0119 (0.0359) time: 3.0255 data: 0.0067 max mem: 31630 Epoch: [2] [3840/5278] eta: 1:08:30 lr: 4.692056031125495e-05 loss: 0.1866 (0.1956) loss_seg: 0.1851 (0.1940) loss_lansim: 0.1132 (0.1213) loss_contra: 0.0108 (0.0359) time: 3.0355 data: 0.0068 max mem: 31630 Epoch: [2] [3850/5278] eta: 1:08:02 lr: 4.6918413708589685e-05 loss: 0.1866 (0.1956) loss_seg: 0.1851 (0.1940) loss_lansim: 0.1134 (0.1213) loss_contra: 0.0128 (0.0359) time: 3.0441 data: 0.0068 max mem: 31630 Epoch: [2] [3860/5278] eta: 1:07:34 lr: 4.691626709501203e-05 loss: 0.1869 (0.1956) loss_seg: 0.1851 (0.1940) loss_lansim: 0.1143 (0.1212) loss_contra: 0.0092 (0.0359) time: 3.0489 data: 0.0067 max mem: 31630 Epoch: [2] [3870/5278] eta: 1:07:06 lr: 4.6914120470521374e-05 loss: 0.1887 (0.1956) loss_seg: 0.1869 (0.1940) loss_lansim: 0.1144 (0.1212) loss_contra: 0.0092 (0.0358) time: 3.0448 data: 0.0067 max mem: 31630 Epoch: [2] [3880/5278] eta: 1:06:38 lr: 4.691197383511712e-05 loss: 0.1869 (0.1955) loss_seg: 0.1851 (0.1940) loss_lansim: 0.1140 (0.1212) loss_contra: 0.0092 (0.0358) time: 3.0402 data: 0.0065 max mem: 31630 Epoch: [2] [3890/5278] eta: 1:06:10 lr: 4.6909827188798646e-05 loss: 0.1837 (0.1955) loss_seg: 0.1822 (0.1939) loss_lansim: 0.1134 (0.1212) loss_contra: 0.0087 (0.0358) time: 3.0341 data: 0.0064 max mem: 31630 Epoch: [2] [3900/5278] eta: 1:05:42 lr: 4.690768053156535e-05 loss: 0.1825 (0.1954) loss_seg: 0.1815 (0.1939) loss_lansim: 0.1132 (0.1212) loss_contra: 0.0058 (0.0357) time: 3.0341 data: 0.0064 max mem: 31630 Epoch: [2] [3910/5278] eta: 1:05:14 lr: 4.690553386341661e-05 loss: 0.1788 (0.1954) loss_seg: 0.1777 (0.1938) loss_lansim: 0.1134 (0.1212) loss_contra: 0.0058 (0.0356) time: 3.0336 data: 0.0063 max mem: 31630 Epoch: [2] [3920/5278] eta: 1:04:46 lr: 4.6903387184351815e-05 loss: 0.1788 (0.1954) loss_seg: 0.1777 (0.1939) loss_lansim: 0.1142 (0.1212) loss_contra: 0.0048 (0.0356) time: 3.0237 data: 0.0063 max mem: 31630 Epoch: [2] [3930/5278] eta: 1:04:18 lr: 4.6901240494370367e-05 loss: 0.1799 (0.1954) loss_seg: 0.1784 (0.1939) loss_lansim: 0.1148 (0.1212) loss_contra: 0.0053 (0.0357) time: 3.0274 data: 0.0064 max mem: 31630 Epoch: [2] [3940/5278] eta: 1:03:50 lr: 4.689909379347165e-05 loss: 0.1800 (0.1954) loss_seg: 0.1786 (0.1939) loss_lansim: 0.1192 (0.1212) loss_contra: 0.0071 (0.0357) time: 3.0309 data: 0.0064 max mem: 31630 Epoch: [2] [3950/5278] eta: 1:03:22 lr: 4.6896947081655064e-05 loss: 0.1820 (0.1954) loss_seg: 0.1803 (0.1938) loss_lansim: 0.1216 (0.1213) loss_contra: 0.0058 (0.0357) time: 3.0363 data: 0.0063 max mem: 31630 Epoch: [2] [3960/5278] eta: 1:02:54 lr: 4.689480035891997e-05 loss: 0.1797 (0.1953) loss_seg: 0.1781 (0.1938) loss_lansim: 0.1255 (0.1213) loss_contra: 0.0071 (0.0357) time: 3.0321 data: 0.0063 max mem: 31630 Epoch: [2] [3970/5278] eta: 1:02:26 lr: 4.689265362526578e-05 loss: 0.1799 (0.1954) loss_seg: 0.1784 (0.1938) loss_lansim: 0.1259 (0.1213) loss_contra: 0.0054 (0.0356) time: 3.0326 data: 0.0063 max mem: 31630 Epoch: [2] [3980/5278] eta: 1:01:58 lr: 4.6890506880691886e-05 loss: 0.1813 (0.1954) loss_seg: 0.1799 (0.1939) loss_lansim: 0.1264 (0.1213) loss_contra: 0.0056 (0.0356) time: 3.0318 data: 0.0064 max mem: 31630 Epoch: [2] [3990/5278] eta: 1:01:30 lr: 4.6888360125197664e-05 loss: 0.1813 (0.1955) loss_seg: 0.1799 (0.1939) loss_lansim: 0.1268 (0.1214) loss_contra: 0.0070 (0.0356) time: 3.0367 data: 0.0065 max mem: 31630 Epoch: [2] [4000/5278] eta: 1:01:02 lr: 4.6886213358782496e-05 loss: 0.1908 (0.1955) loss_seg: 0.1868 (0.1940) loss_lansim: 0.1268 (0.1214) loss_contra: 0.0076 (0.0355) time: 3.0433 data: 0.0065 max mem: 31630 Epoch: [2] [4010/5278] eta: 1:00:34 lr: 4.688406658144579e-05 loss: 0.1883 (0.1955) loss_seg: 0.1868 (0.1939) loss_lansim: 0.1280 (0.1214) loss_contra: 0.0076 (0.0355) time: 3.0447 data: 0.0065 max mem: 31630 Epoch: [2] [4020/5278] eta: 1:00:05 lr: 4.688191979318692e-05 loss: 0.1883 (0.1955) loss_seg: 0.1868 (0.1939) loss_lansim: 0.1293 (0.1214) loss_contra: 0.0076 (0.0354) time: 3.0525 data: 0.0065 max mem: 31630 Epoch: [2] [4030/5278] eta: 0:59:37 lr: 4.6879772994005295e-05 loss: 0.1914 (0.1955) loss_seg: 0.1895 (0.1939) loss_lansim: 0.1256 (0.1214) loss_contra: 0.0060 (0.0354) time: 3.0515 data: 0.0066 max mem: 31630 Epoch: [2] [4040/5278] eta: 0:59:09 lr: 4.687762618390028e-05 loss: 0.1905 (0.1954) loss_seg: 0.1868 (0.1939) loss_lansim: 0.1249 (0.1214) loss_contra: 0.0054 (0.0353) time: 3.0514 data: 0.0065 max mem: 31630 Epoch: [2] [4050/5278] eta: 0:58:41 lr: 4.687547936287128e-05 loss: 0.1832 (0.1954) loss_seg: 0.1807 (0.1939) loss_lansim: 0.1256 (0.1215) loss_contra: 0.0056 (0.0354) time: 3.0453 data: 0.0066 max mem: 31630 Epoch: [2] [4060/5278] eta: 0:58:13 lr: 4.6873332530917674e-05 loss: 0.1905 (0.1954) loss_seg: 0.1893 (0.1938) loss_lansim: 0.1272 (0.1215) loss_contra: 0.0066 (0.0353) time: 3.0538 data: 0.0066 max mem: 31630 Epoch: [2] [4070/5278] eta: 0:57:45 lr: 4.687118568803886e-05 loss: 0.1914 (0.1955) loss_seg: 0.1895 (0.1939) loss_lansim: 0.1309 (0.1216) loss_contra: 0.0085 (0.0353) time: 3.0524 data: 0.0067 max mem: 31630 Epoch: [2] [4080/5278] eta: 0:57:17 lr: 4.6869038834234203e-05 loss: 0.1914 (0.1955) loss_seg: 0.1895 (0.1939) loss_lansim: 0.1318 (0.1216) loss_contra: 0.0086 (0.0353) time: 3.0550 data: 0.0067 max mem: 31630 Epoch: [2] [4090/5278] eta: 0:56:49 lr: 4.6866891969503116e-05 loss: 0.1866 (0.1954) loss_seg: 0.1853 (0.1938) loss_lansim: 0.1322 (0.1217) loss_contra: 0.0078 (0.0353) time: 3.0491 data: 0.0067 max mem: 31630 Epoch: [2] [4100/5278] eta: 0:56:20 lr: 4.686474509384498e-05 loss: 0.1787 (0.1953) loss_seg: 0.1775 (0.1938) loss_lansim: 0.1313 (0.1216) loss_contra: 0.0078 (0.0353) time: 3.0454 data: 0.0067 max mem: 31630 Epoch: [2] [4110/5278] eta: 0:55:52 lr: 4.686259820725919e-05 loss: 0.1787 (0.1953) loss_seg: 0.1776 (0.1938) loss_lansim: 0.1311 (0.1216) loss_contra: 0.0065 (0.0352) time: 3.0494 data: 0.0067 max mem: 31630 Epoch: [2] [4120/5278] eta: 0:55:24 lr: 4.686045130974512e-05 loss: 0.1750 (0.1952) loss_seg: 0.1736 (0.1937) loss_lansim: 0.1309 (0.1217) loss_contra: 0.0065 (0.0352) time: 3.0514 data: 0.0068 max mem: 31630 Epoch: [2] [4130/5278] eta: 0:54:56 lr: 4.685830440130217e-05 loss: 0.1725 (0.1952) loss_seg: 0.1708 (0.1937) loss_lansim: 0.1333 (0.1217) loss_contra: 0.0079 (0.0351) time: 3.0425 data: 0.0068 max mem: 31630 Epoch: [2] [4140/5278] eta: 0:54:27 lr: 4.685615748192971e-05 loss: 0.1732 (0.1951) loss_seg: 0.1716 (0.1936) loss_lansim: 0.1309 (0.1217) loss_contra: 0.0090 (0.0351) time: 3.0411 data: 0.0068 max mem: 31630 Epoch: [2] [4150/5278] eta: 0:53:59 lr: 4.685401055162716e-05 loss: 0.1732 (0.1952) loss_seg: 0.1716 (0.1936) loss_lansim: 0.1270 (0.1217) loss_contra: 0.0079 (0.0351) time: 3.0396 data: 0.0068 max mem: 31630 Epoch: [2] [4160/5278] eta: 0:53:31 lr: 4.685186361039387e-05 loss: 0.1726 (0.1952) loss_seg: 0.1708 (0.1936) loss_lansim: 0.1230 (0.1216) loss_contra: 0.0076 (0.0350) time: 3.0366 data: 0.0068 max mem: 31630 Epoch: [2] [4170/5278] eta: 0:53:03 lr: 4.684971665822926e-05 loss: 0.1704 (0.1951) loss_seg: 0.1690 (0.1936) loss_lansim: 0.1223 (0.1217) loss_contra: 0.0065 (0.0350) time: 3.0384 data: 0.0067 max mem: 31630 Epoch: [2] [4180/5278] eta: 0:52:34 lr: 4.684756969513269e-05 loss: 0.1704 (0.1952) loss_seg: 0.1690 (0.1936) loss_lansim: 0.1220 (0.1217) loss_contra: 0.0055 (0.0349) time: 3.0384 data: 0.0067 max mem: 31630 Epoch: [2] [4190/5278] eta: 0:52:06 lr: 4.6845422721103574e-05 loss: 0.1719 (0.1952) loss_seg: 0.1706 (0.1936) loss_lansim: 0.1208 (0.1217) loss_contra: 0.0052 (0.0349) time: 3.0429 data: 0.0066 max mem: 31630 Epoch: [2] [4200/5278] eta: 0:51:38 lr: 4.684327573614129e-05 loss: 0.1741 (0.1952) loss_seg: 0.1728 (0.1937) loss_lansim: 0.1213 (0.1217) loss_contra: 0.0045 (0.0349) time: 3.0435 data: 0.0065 max mem: 31630 Epoch: [2] [4210/5278] eta: 0:51:10 lr: 4.684112874024522e-05 loss: 0.1717 (0.1951) loss_seg: 0.1704 (0.1936) loss_lansim: 0.1223 (0.1217) loss_contra: 0.0054 (0.0348) time: 3.0422 data: 0.0066 max mem: 31630 Epoch: [2] [4220/5278] eta: 0:50:41 lr: 4.6838981733414744e-05 loss: 0.1733 (0.1951) loss_seg: 0.1721 (0.1935) loss_lansim: 0.1206 (0.1217) loss_contra: 0.0059 (0.0348) time: 3.0441 data: 0.0066 max mem: 31630 Epoch: [2] [4230/5278] eta: 0:50:13 lr: 4.683683471564927e-05 loss: 0.1741 (0.1951) loss_seg: 0.1728 (0.1935) loss_lansim: 0.1199 (0.1217) loss_contra: 0.0059 (0.0347) time: 3.0418 data: 0.0065 max mem: 31630 Epoch: [2] [4240/5278] eta: 0:49:44 lr: 4.683468768694818e-05 loss: 0.1766 (0.1950) loss_seg: 0.1754 (0.1935) loss_lansim: 0.1204 (0.1217) loss_contra: 0.0055 (0.0347) time: 3.0426 data: 0.0064 max mem: 31630 Epoch: [2] [4250/5278] eta: 0:49:16 lr: 4.6832540647310844e-05 loss: 0.1766 (0.1951) loss_seg: 0.1754 (0.1935) loss_lansim: 0.1222 (0.1218) loss_contra: 0.0054 (0.0347) time: 3.0431 data: 0.0064 max mem: 31630 Epoch: [2] [4260/5278] eta: 0:48:48 lr: 4.683039359673667e-05 loss: 0.1766 (0.1951) loss_seg: 0.1754 (0.1935) loss_lansim: 0.1232 (0.1218) loss_contra: 0.0047 (0.0346) time: 3.0411 data: 0.0063 max mem: 31630 Epoch: [2] [4270/5278] eta: 0:48:19 lr: 4.682824653522503e-05 loss: 0.1778 (0.1952) loss_seg: 0.1764 (0.1936) loss_lansim: 0.1243 (0.1218) loss_contra: 0.0037 (0.0346) time: 3.0394 data: 0.0063 max mem: 31630 Epoch: [2] [4280/5278] eta: 0:47:51 lr: 4.6826099462775325e-05 loss: 0.1781 (0.1952) loss_seg: 0.1769 (0.1936) loss_lansim: 0.1253 (0.1219) loss_contra: 0.0037 (0.0345) time: 3.0452 data: 0.0063 max mem: 31630 Epoch: [2] [4290/5278] eta: 0:47:23 lr: 4.6823952379386924e-05 loss: 0.1778 (0.1952) loss_seg: 0.1764 (0.1936) loss_lansim: 0.1316 (0.1220) loss_contra: 0.0059 (0.0346) time: 3.0444 data: 0.0062 max mem: 31630 Epoch: [2] [4300/5278] eta: 0:46:54 lr: 4.6821805285059235e-05 loss: 0.1749 (0.1952) loss_seg: 0.1733 (0.1936) loss_lansim: 0.1349 (0.1220) loss_contra: 0.0063 (0.0347) time: 3.0523 data: 0.0062 max mem: 31630 Epoch: [2] [4310/5278] eta: 0:46:26 lr: 4.6819658179791634e-05 loss: 0.1772 (0.1951) loss_seg: 0.1754 (0.1935) loss_lansim: 0.1350 (0.1221) loss_contra: 0.0121 (0.0348) time: 3.0501 data: 0.0062 max mem: 31630 Epoch: [2] [4320/5278] eta: 0:45:58 lr: 4.681751106358351e-05 loss: 0.1799 (0.1951) loss_seg: 0.1783 (0.1935) loss_lansim: 0.1360 (0.1221) loss_contra: 0.0158 (0.0352) time: 3.0468 data: 0.0061 max mem: 31630 Epoch: [2] [4330/5278] eta: 0:45:29 lr: 4.6815363936434244e-05 loss: 0.1799 (0.1952) loss_seg: 0.1782 (0.1936) loss_lansim: 0.1360 (0.1221) loss_contra: 0.0148 (0.0354) time: 3.0467 data: 0.0061 max mem: 31630 Epoch: [2] [4340/5278] eta: 0:45:00 lr: 4.681321679834322e-05 loss: 0.1850 (0.1952) loss_seg: 0.1833 (0.1937) loss_lansim: 0.1353 (0.1221) loss_contra: 0.0175 (0.0354) time: 3.0434 data: 0.0062 max mem: 31630 Epoch: [2] [4350/5278] eta: 0:44:32 lr: 4.681106964930985e-05 loss: 0.1799 (0.1952) loss_seg: 0.1782 (0.1936) loss_lansim: 0.1360 (0.1221) loss_contra: 0.0209 (0.0355) time: 3.0518 data: 0.0062 max mem: 31630 Epoch: [2] [4360/5278] eta: 0:44:04 lr: 4.680892248933349e-05 loss: 0.1864 (0.1952) loss_seg: 0.1846 (0.1936) loss_lansim: 0.1345 (0.1221) loss_contra: 0.0209 (0.0355) time: 3.0520 data: 0.0062 max mem: 31630 Epoch: [2] [4370/5278] eta: 0:43:35 lr: 4.6806775318413534e-05 loss: 0.1850 (0.1952) loss_seg: 0.1834 (0.1936) loss_lansim: 0.1324 (0.1221) loss_contra: 0.0245 (0.0355) time: 3.0535 data: 0.0062 max mem: 31630 Epoch: [2] [4380/5278] eta: 0:43:07 lr: 4.680462813654938e-05 loss: 0.1850 (0.1952) loss_seg: 0.1834 (0.1937) loss_lansim: 0.1320 (0.1222) loss_contra: 0.0253 (0.0355) time: 3.0450 data: 0.0062 max mem: 31630 Epoch: [2] [4390/5278] eta: 0:42:38 lr: 4.680248094374041e-05 loss: 0.1864 (0.1952) loss_seg: 0.1847 (0.1937) loss_lansim: 0.1320 (0.1224) loss_contra: 0.0210 (0.0354) time: 3.0467 data: 0.0062 max mem: 31630 Epoch: [2] [4400/5278] eta: 0:42:10 lr: 4.6800333739986004e-05 loss: 0.1864 (0.1953) loss_seg: 0.1850 (0.1937) loss_lansim: 0.1320 (0.1225) loss_contra: 0.0192 (0.0354) time: 3.0335 data: 0.0062 max mem: 31630 Epoch: [2] [4410/5278] eta: 0:41:42 lr: 4.679818652528556e-05 loss: 0.1959 (0.1953) loss_seg: 0.1936 (0.1938) loss_lansim: 0.1303 (0.1225) loss_contra: 0.0134 (0.0354) time: 3.0636 data: 0.0062 max mem: 31630 Epoch: [2] [4420/5278] eta: 0:41:13 lr: 4.6796039299638444e-05 loss: 0.1948 (0.1953) loss_seg: 0.1931 (0.1938) loss_lansim: 0.1353 (0.1225) loss_contra: 0.0118 (0.0354) time: 3.0588 data: 0.0062 max mem: 31630 Epoch: [2] [4430/5278] eta: 0:40:45 lr: 4.6793892063044057e-05 loss: 0.1922 (0.1953) loss_seg: 0.1898 (0.1937) loss_lansim: 0.1369 (0.1226) loss_contra: 0.0098 (0.0354) time: 3.0766 data: 0.0062 max mem: 31630 Epoch: [2] [4440/5278] eta: 0:40:16 lr: 4.6791744815501795e-05 loss: 0.1901 (0.1953) loss_seg: 0.1886 (0.1937) loss_lansim: 0.1371 (0.1226) loss_contra: 0.0077 (0.0353) time: 3.0774 data: 0.0062 max mem: 31630 Epoch: [2] [4450/5278] eta: 0:39:48 lr: 4.6789597557011016e-05 loss: 0.1900 (0.1953) loss_seg: 0.1882 (0.1937) loss_lansim: 0.1371 (0.1226) loss_contra: 0.0065 (0.0353) time: 3.0694 data: 0.0062 max mem: 31630 Epoch: [2] [4460/5278] eta: 0:39:19 lr: 4.678745028757112e-05 loss: 0.1901 (0.1953) loss_seg: 0.1886 (0.1938) loss_lansim: 0.1386 (0.1227) loss_contra: 0.0060 (0.0353) time: 3.0662 data: 0.0062 max mem: 31630 Epoch: [2] [4470/5278] eta: 0:38:51 lr: 4.67853030071815e-05 loss: 0.1894 (0.1953) loss_seg: 0.1882 (0.1937) loss_lansim: 0.1430 (0.1227) loss_contra: 0.0053 (0.0353) time: 3.0715 data: 0.0062 max mem: 31630 Epoch: [2] [4480/5278] eta: 0:38:22 lr: 4.678315571584154e-05 loss: 0.1885 (0.1954) loss_seg: 0.1871 (0.1938) loss_lansim: 0.1389 (0.1227) loss_contra: 0.0046 (0.0353) time: 3.0745 data: 0.0063 max mem: 31630 Epoch: [2] [4490/5278] eta: 0:37:53 lr: 4.678100841355062e-05 loss: 0.1859 (0.1954) loss_seg: 0.1844 (0.1938) loss_lansim: 0.1383 (0.1228) loss_contra: 0.0053 (0.0353) time: 3.0710 data: 0.0063 max mem: 31630 Epoch: [2] [4500/5278] eta: 0:37:25 lr: 4.677886110030812e-05 loss: 0.1901 (0.1955) loss_seg: 0.1886 (0.1939) loss_lansim: 0.1368 (0.1228) loss_contra: 0.0062 (0.0353) time: 3.0798 data: 0.0063 max mem: 31630 Epoch: [2] [4510/5278] eta: 0:36:56 lr: 4.677671377611344e-05 loss: 0.1894 (0.1955) loss_seg: 0.1882 (0.1939) loss_lansim: 0.1368 (0.1228) loss_contra: 0.0068 (0.0354) time: 3.0516 data: 0.0064 max mem: 31630 Epoch: [2] [4520/5278] eta: 0:36:28 lr: 4.6774566440965953e-05 loss: 0.1922 (0.1956) loss_seg: 0.1898 (0.1941) loss_lansim: 0.1350 (0.1228) loss_contra: 0.0069 (0.0355) time: 3.0638 data: 0.0064 max mem: 31630 Epoch: [2] [4530/5278] eta: 0:35:59 lr: 4.677241909486505e-05 loss: 0.1985 (0.1956) loss_seg: 0.1968 (0.1941) loss_lansim: 0.1360 (0.1229) loss_contra: 0.0076 (0.0356) time: 3.0539 data: 0.0064 max mem: 31630 Epoch: [2] [4540/5278] eta: 0:35:31 lr: 4.677027173781012e-05 loss: 0.1956 (0.1957) loss_seg: 0.1940 (0.1941) loss_lansim: 0.1389 (0.1230) loss_contra: 0.0082 (0.0356) time: 3.0624 data: 0.0064 max mem: 31630 Epoch: [2] [4550/5278] eta: 0:35:02 lr: 4.6768124369800534e-05 loss: 0.2021 (0.1957) loss_seg: 0.2008 (0.1941) loss_lansim: 0.1395 (0.1230) loss_contra: 0.0082 (0.0355) time: 3.0673 data: 0.0064 max mem: 31630 Epoch: [2] [4560/5278] eta: 0:34:34 lr: 4.67659769908357e-05 loss: 0.2012 (0.1958) loss_seg: 0.1980 (0.1942) loss_lansim: 0.1395 (0.1231) loss_contra: 0.0097 (0.0357) time: 3.0751 data: 0.0064 max mem: 31630 Epoch: [2] [4570/5278] eta: 0:34:05 lr: 4.676382960091499e-05 loss: 0.2021 (0.1958) loss_seg: 0.2008 (0.1942) loss_lansim: 0.1410 (0.1231) loss_contra: 0.0104 (0.0357) time: 3.0757 data: 0.0064 max mem: 31630 Epoch: [2] [4580/5278] eta: 0:33:36 lr: 4.676168220003778e-05 loss: 0.2030 (0.1958) loss_seg: 0.2008 (0.1942) loss_lansim: 0.1411 (0.1232) loss_contra: 0.0126 (0.0357) time: 3.0737 data: 0.0063 max mem: 31630 Epoch: [2] [4590/5278] eta: 0:33:08 lr: 4.675953478820347e-05 loss: 0.2040 (0.1958) loss_seg: 0.2024 (0.1942) loss_lansim: 0.1428 (0.1232) loss_contra: 0.0110 (0.0357) time: 3.0771 data: 0.0062 max mem: 31630 Epoch: [2] [4600/5278] eta: 0:32:39 lr: 4.6757387365411435e-05 loss: 0.1971 (0.1958) loss_seg: 0.1957 (0.1942) loss_lansim: 0.1437 (0.1233) loss_contra: 0.0152 (0.0357) time: 3.0732 data: 0.0063 max mem: 31630 Epoch: [2] [4610/5278] eta: 0:32:10 lr: 4.6755239931661075e-05 loss: 0.1969 (0.1958) loss_seg: 0.1953 (0.1942) loss_lansim: 0.1435 (0.1233) loss_contra: 0.0152 (0.0357) time: 3.0689 data: 0.0063 max mem: 31630 Epoch: [2] [4620/5278] eta: 0:31:42 lr: 4.675309248695176e-05 loss: 0.1954 (0.1958) loss_seg: 0.1929 (0.1942) loss_lansim: 0.1428 (0.1233) loss_contra: 0.0109 (0.0357) time: 3.0672 data: 0.0063 max mem: 31630 Epoch: [2] [4630/5278] eta: 0:31:13 lr: 4.6750945031282875e-05 loss: 0.1875 (0.1958) loss_seg: 0.1859 (0.1942) loss_lansim: 0.1402 (0.1233) loss_contra: 0.0110 (0.0358) time: 3.0650 data: 0.0063 max mem: 31630 Epoch: [2] [4640/5278] eta: 0:30:44 lr: 4.674879756465381e-05 loss: 0.1864 (0.1958) loss_seg: 0.1844 (0.1942) loss_lansim: 0.1377 (0.1233) loss_contra: 0.0100 (0.0357) time: 3.0617 data: 0.0062 max mem: 31630 Epoch: [2] [4650/5278] eta: 0:30:16 lr: 4.6746650087063956e-05 loss: 0.1852 (0.1958) loss_seg: 0.1838 (0.1942) loss_lansim: 0.1369 (0.1234) loss_contra: 0.0110 (0.0357) time: 3.0557 data: 0.0062 max mem: 31630 Epoch: [2] [4660/5278] eta: 0:29:47 lr: 4.6744502598512686e-05 loss: 0.1833 (0.1958) loss_seg: 0.1821 (0.1942) loss_lansim: 0.1356 (0.1234) loss_contra: 0.0120 (0.0358) time: 3.0535 data: 0.0062 max mem: 31630 Epoch: [2] [4670/5278] eta: 0:29:18 lr: 4.6742355098999387e-05 loss: 0.1823 (0.1958) loss_seg: 0.1811 (0.1942) loss_lansim: 0.1310 (0.1234) loss_contra: 0.0116 (0.0357) time: 3.0472 data: 0.0062 max mem: 31630 Epoch: [2] [4680/5278] eta: 0:28:50 lr: 4.674020758852344e-05 loss: 0.1812 (0.1958) loss_seg: 0.1797 (0.1942) loss_lansim: 0.1291 (0.1234) loss_contra: 0.0093 (0.0357) time: 3.0525 data: 0.0063 max mem: 31630 Epoch: [2] [4690/5278] eta: 0:28:21 lr: 4.673806006708425e-05 loss: 0.1823 (0.1958) loss_seg: 0.1811 (0.1942) loss_lansim: 0.1286 (0.1234) loss_contra: 0.0099 (0.0356) time: 3.0485 data: 0.0063 max mem: 31630 Epoch: [2] [4700/5278] eta: 0:27:52 lr: 4.673591253468117e-05 loss: 0.1823 (0.1958) loss_seg: 0.1811 (0.1942) loss_lansim: 0.1265 (0.1234) loss_contra: 0.0093 (0.0356) time: 3.0473 data: 0.0061 max mem: 31630 Epoch: [2] [4710/5278] eta: 0:27:23 lr: 4.67337649913136e-05 loss: 0.1823 (0.1958) loss_seg: 0.1811 (0.1942) loss_lansim: 0.1265 (0.1234) loss_contra: 0.0083 (0.0355) time: 3.0508 data: 0.0061 max mem: 31630 Epoch: [2] [4720/5278] eta: 0:26:55 lr: 4.6731617436980935e-05 loss: 0.1804 (0.1958) loss_seg: 0.1789 (0.1942) loss_lansim: 0.1257 (0.1234) loss_contra: 0.0083 (0.0355) time: 3.0511 data: 0.0060 max mem: 31630 Epoch: [2] [4730/5278] eta: 0:26:26 lr: 4.6729469871682543e-05 loss: 0.1804 (0.1958) loss_seg: 0.1789 (0.1942) loss_lansim: 0.1265 (0.1234) loss_contra: 0.0083 (0.0354) time: 3.0490 data: 0.0060 max mem: 31630 Epoch: [2] [4740/5278] eta: 0:25:57 lr: 4.672732229541781e-05 loss: 0.1844 (0.1958) loss_seg: 0.1831 (0.1942) loss_lansim: 0.1273 (0.1234) loss_contra: 0.0078 (0.0354) time: 3.0464 data: 0.0060 max mem: 31630 Epoch: [2] [4750/5278] eta: 0:25:28 lr: 4.6725174708186134e-05 loss: 0.1872 (0.1959) loss_seg: 0.1856 (0.1943) loss_lansim: 0.1257 (0.1234) loss_contra: 0.0070 (0.0353) time: 3.0561 data: 0.0060 max mem: 31630 Epoch: [2] [4760/5278] eta: 0:24:59 lr: 4.6723027109986876e-05 loss: 0.1872 (0.1958) loss_seg: 0.1860 (0.1943) loss_lansim: 0.1273 (0.1234) loss_contra: 0.0064 (0.0353) time: 3.0474 data: 0.0060 max mem: 31630 Epoch: [2] [4770/5278] eta: 0:24:31 lr: 4.672087950081944e-05 loss: 0.1870 (0.1958) loss_seg: 0.1856 (0.1942) loss_lansim: 0.1280 (0.1235) loss_contra: 0.0061 (0.0352) time: 3.0557 data: 0.0060 max mem: 31630 Epoch: [2] [4780/5278] eta: 0:24:02 lr: 4.67187318806832e-05 loss: 0.1836 (0.1958) loss_seg: 0.1821 (0.1942) loss_lansim: 0.1280 (0.1235) loss_contra: 0.0070 (0.0352) time: 3.0554 data: 0.0060 max mem: 31630 Epoch: [2] [4790/5278] eta: 0:23:33 lr: 4.671658424957754e-05 loss: 0.1793 (0.1957) loss_seg: 0.1780 (0.1941) loss_lansim: 0.1272 (0.1235) loss_contra: 0.0069 (0.0352) time: 3.0540 data: 0.0060 max mem: 31630 Epoch: [2] [4800/5278] eta: 0:23:04 lr: 4.671443660750185e-05 loss: 0.1836 (0.1958) loss_seg: 0.1821 (0.1942) loss_lansim: 0.1296 (0.1235) loss_contra: 0.0069 (0.0352) time: 3.0608 data: 0.0061 max mem: 31630 Epoch: [2] [4810/5278] eta: 0:22:35 lr: 4.6712288954455506e-05 loss: 0.1891 (0.1958) loss_seg: 0.1877 (0.1942) loss_lansim: 0.1320 (0.1236) loss_contra: 0.0074 (0.0351) time: 3.0602 data: 0.0061 max mem: 31630 Epoch: [2] [4820/5278] eta: 0:22:07 lr: 4.67101412904379e-05 loss: 0.1868 (0.1958) loss_seg: 0.1854 (0.1942) loss_lansim: 0.1330 (0.1236) loss_contra: 0.0074 (0.0351) time: 3.0616 data: 0.0063 max mem: 31630 Epoch: [2] [4830/5278] eta: 0:21:38 lr: 4.67079936154484e-05 loss: 0.1868 (0.1958) loss_seg: 0.1854 (0.1942) loss_lansim: 0.1330 (0.1236) loss_contra: 0.0070 (0.0351) time: 3.0708 data: 0.0065 max mem: 31630 Epoch: [2] [4840/5278] eta: 0:21:09 lr: 4.67058459294864e-05 loss: 0.1804 (0.1958) loss_seg: 0.1790 (0.1942) loss_lansim: 0.1335 (0.1237) loss_contra: 0.0069 (0.0351) time: 3.0759 data: 0.0067 max mem: 31630 Epoch: [2] [4850/5278] eta: 0:20:40 lr: 4.6703698232551296e-05 loss: 0.1788 (0.1957) loss_seg: 0.1768 (0.1941) loss_lansim: 0.1349 (0.1237) loss_contra: 0.0071 (0.0351) time: 3.0767 data: 0.0068 max mem: 31630 Epoch: [2] [4860/5278] eta: 0:20:12 lr: 4.6701550524642446e-05 loss: 0.1793 (0.1957) loss_seg: 0.1780 (0.1941) loss_lansim: 0.1367 (0.1237) loss_contra: 0.0058 (0.0351) time: 3.0890 data: 0.0069 max mem: 31630 Epoch: [2] [4870/5278] eta: 0:19:43 lr: 4.669940280575925e-05 loss: 0.1804 (0.1957) loss_seg: 0.1790 (0.1941) loss_lansim: 0.1377 (0.1237) loss_contra: 0.0076 (0.0351) time: 3.0810 data: 0.0070 max mem: 31630 Epoch: [2] [4880/5278] eta: 0:19:14 lr: 4.669725507590107e-05 loss: 0.1890 (0.1957) loss_seg: 0.1877 (0.1941) loss_lansim: 0.1397 (0.1238) loss_contra: 0.0076 (0.0351) time: 3.0869 data: 0.0071 max mem: 31630 Epoch: [2] [4890/5278] eta: 0:18:45 lr: 4.669510733506732e-05 loss: 0.1907 (0.1957) loss_seg: 0.1892 (0.1941) loss_lansim: 0.1377 (0.1238) loss_contra: 0.0072 (0.0351) time: 3.0939 data: 0.0072 max mem: 31630 Epoch: [2] [4900/5278] eta: 0:18:16 lr: 4.6692959583257377e-05 loss: 0.1868 (0.1957) loss_seg: 0.1854 (0.1941) loss_lansim: 0.1397 (0.1238) loss_contra: 0.0072 (0.0350) time: 3.0989 data: 0.0073 max mem: 31630 Epoch: [2] [4910/5278] eta: 0:17:47 lr: 4.6690811820470604e-05 loss: 0.1843 (0.1957) loss_seg: 0.1827 (0.1942) loss_lansim: 0.1406 (0.1239) loss_contra: 0.0063 (0.0350) time: 3.1012 data: 0.0074 max mem: 31630 Epoch: [2] [4920/5278] eta: 0:17:18 lr: 4.6688664046706393e-05 loss: 0.1856 (0.1957) loss_seg: 0.1832 (0.1941) loss_lansim: 0.1407 (0.1239) loss_contra: 0.0064 (0.0350) time: 3.0988 data: 0.0073 max mem: 31630 Epoch: [2] [4930/5278] eta: 0:16:50 lr: 4.668651626196413e-05 loss: 0.1920 (0.1958) loss_seg: 0.1907 (0.1942) loss_lansim: 0.1425 (0.1240) loss_contra: 0.0063 (0.0350) time: 3.0993 data: 0.0072 max mem: 31630 Epoch: [2] [4940/5278] eta: 0:16:21 lr: 4.66843684662432e-05 loss: 0.1946 (0.1960) loss_seg: 0.1931 (0.1944) loss_lansim: 0.1442 (0.1241) loss_contra: 0.0064 (0.0349) time: 3.1003 data: 0.0070 max mem: 31630 Epoch: [2] [4950/5278] eta: 0:15:52 lr: 4.6682220659542983e-05 loss: 0.1946 (0.1960) loss_seg: 0.1931 (0.1944) loss_lansim: 0.1456 (0.1241) loss_contra: 0.0070 (0.0349) time: 3.0955 data: 0.0070 max mem: 31630 Epoch: [2] [4960/5278] eta: 0:15:23 lr: 4.668007284186286e-05 loss: 0.1955 (0.1960) loss_seg: 0.1938 (0.1944) loss_lansim: 0.1465 (0.1242) loss_contra: 0.0086 (0.0350) time: 3.0945 data: 0.0069 max mem: 31630 Epoch: [2] [4970/5278] eta: 0:14:54 lr: 4.667792501320221e-05 loss: 0.1920 (0.1960) loss_seg: 0.1907 (0.1944) loss_lansim: 0.1465 (0.1242) loss_contra: 0.0081 (0.0350) time: 3.1035 data: 0.0070 max mem: 31630 Epoch: [2] [4980/5278] eta: 0:14:25 lr: 4.6675777173560434e-05 loss: 0.1869 (0.1959) loss_seg: 0.1848 (0.1943) loss_lansim: 0.1465 (0.1243) loss_contra: 0.0074 (0.0350) time: 3.0991 data: 0.0069 max mem: 31630 Epoch: [2] [4990/5278] eta: 0:13:56 lr: 4.667362932293689e-05 loss: 0.1945 (0.1959) loss_seg: 0.1930 (0.1944) loss_lansim: 0.1465 (0.1243) loss_contra: 0.0079 (0.0350) time: 3.0937 data: 0.0069 max mem: 31630 Epoch: [2] [5000/5278] eta: 0:13:27 lr: 4.667148146133096e-05 loss: 0.1945 (0.1960) loss_seg: 0.1930 (0.1944) loss_lansim: 0.1461 (0.1243) loss_contra: 0.0084 (0.0350) time: 3.0904 data: 0.0070 max mem: 31630 Epoch: [2] [5010/5278] eta: 0:12:58 lr: 4.666933358874205e-05 loss: 0.1883 (0.1960) loss_seg: 0.1863 (0.1944) loss_lansim: 0.1473 (0.1244) loss_contra: 0.0091 (0.0350) time: 3.0951 data: 0.0070 max mem: 31630 Epoch: [2] [5020/5278] eta: 0:12:29 lr: 4.6667185705169516e-05 loss: 0.1883 (0.1960) loss_seg: 0.1863 (0.1944) loss_lansim: 0.1455 (0.1244) loss_contra: 0.0092 (0.0350) time: 3.0898 data: 0.0070 max mem: 31630 Epoch: [2] [5030/5278] eta: 0:12:00 lr: 4.666503781061277e-05 loss: 0.1860 (0.1960) loss_seg: 0.1846 (0.1944) loss_lansim: 0.1430 (0.1244) loss_contra: 0.0092 (0.0350) time: 3.0918 data: 0.0070 max mem: 31630 Epoch: [2] [5040/5278] eta: 0:11:31 lr: 4.666288990507117e-05 loss: 0.1857 (0.1960) loss_seg: 0.1839 (0.1944) loss_lansim: 0.1427 (0.1245) loss_contra: 0.0115 (0.0350) time: 3.0854 data: 0.0070 max mem: 31630 Epoch: [2] [5050/5278] eta: 0:11:02 lr: 4.66607419885441e-05 loss: 0.1860 (0.1960) loss_seg: 0.1846 (0.1944) loss_lansim: 0.1427 (0.1245) loss_contra: 0.0115 (0.0350) time: 3.0809 data: 0.0070 max mem: 31630 Epoch: [2] [5060/5278] eta: 0:10:33 lr: 4.6658594061030964e-05 loss: 0.1840 (0.1960) loss_seg: 0.1818 (0.1944) loss_lansim: 0.1414 (0.1245) loss_contra: 0.0101 (0.0350) time: 3.0723 data: 0.0070 max mem: 31630 Epoch: [2] [5070/5278] eta: 0:10:04 lr: 4.665644612253111e-05 loss: 0.1851 (0.1960) loss_seg: 0.1818 (0.1944) loss_lansim: 0.1414 (0.1246) loss_contra: 0.0112 (0.0351) time: 3.0711 data: 0.0070 max mem: 31630 Epoch: [2] [5080/5278] eta: 0:09:35 lr: 4.6654298173043945e-05 loss: 0.1831 (0.1959) loss_seg: 0.1813 (0.1943) loss_lansim: 0.1414 (0.1246) loss_contra: 0.0112 (0.0351) time: 3.0723 data: 0.0069 max mem: 31630 Epoch: [2] [5090/5278] eta: 0:09:06 lr: 4.665215021256884e-05 loss: 0.1831 (0.1960) loss_seg: 0.1813 (0.1944) loss_lansim: 0.1428 (0.1246) loss_contra: 0.0097 (0.0350) time: 3.0723 data: 0.0068 max mem: 31630 Epoch: [2] [5100/5278] eta: 0:08:37 lr: 4.665000224110517e-05 loss: 0.1827 (0.1960) loss_seg: 0.1811 (0.1944) loss_lansim: 0.1406 (0.1246) loss_contra: 0.0101 (0.0350) time: 3.0681 data: 0.0067 max mem: 31630 Epoch: [2] [5110/5278] eta: 0:08:08 lr: 4.664785425865234e-05 loss: 0.1810 (0.1960) loss_seg: 0.1798 (0.1944) loss_lansim: 0.1357 (0.1246) loss_contra: 0.0097 (0.0350) time: 3.0596 data: 0.0067 max mem: 31630 Epoch: [2] [5120/5278] eta: 0:07:39 lr: 4.664570626520971e-05 loss: 0.1821 (0.1960) loss_seg: 0.1805 (0.1944) loss_lansim: 0.1357 (0.1246) loss_contra: 0.0079 (0.0350) time: 3.0611 data: 0.0067 max mem: 31630 Epoch: [2] [5130/5278] eta: 0:07:10 lr: 4.664355826077667e-05 loss: 0.1831 (0.1961) loss_seg: 0.1815 (0.1945) loss_lansim: 0.1349 (0.1247) loss_contra: 0.0101 (0.0351) time: 3.0462 data: 0.0065 max mem: 31630 Epoch: [2] [5140/5278] eta: 0:07:04 lr: 4.6641410245352605e-05 loss: 0.1828 (0.1961) loss_seg: 0.1813 (0.1945) loss_lansim: 0.1309 (0.1247) loss_contra: 0.0077 (0.0351) time: 11.4557 data: 8.4087 max mem: 31630 Epoch: [2] [5150/5278] eta: 0:06:33 lr: 4.6639262218936884e-05 loss: 0.1762 (0.1960) loss_seg: 0.1724 (0.1944) loss_lansim: 0.1295 (0.1246) loss_contra: 0.0076 (0.0350) time: 11.4535 data: 8.4086 max mem: 31630 Epoch: [2] [5160/5278] eta: 0:06:02 lr: 4.6637114181528904e-05 loss: 0.1765 (0.1960) loss_seg: 0.1753 (0.1944) loss_lansim: 0.1282 (0.1246) loss_contra: 0.0079 (0.0350) time: 11.4564 data: 8.4084 max mem: 31630 Epoch: [2] [5170/5278] eta: 0:05:31 lr: 4.663496613312803e-05 loss: 0.1821 (0.1959) loss_seg: 0.1767 (0.1943) loss_lansim: 0.1269 (0.1246) loss_contra: 0.0077 (0.0350) time: 11.4537 data: 8.4084 max mem: 31630 Epoch: [2] [5180/5278] eta: 0:05:01 lr: 4.663281807373365e-05 loss: 0.1781 (0.1959) loss_seg: 0.1766 (0.1943) loss_lansim: 0.1238 (0.1246) loss_contra: 0.0076 (0.0350) time: 11.4459 data: 8.4083 max mem: 31630 Epoch: [2] [5190/5278] eta: 0:04:30 lr: 4.6630670003345155e-05 loss: 0.1762 (0.1959) loss_seg: 0.1750 (0.1943) loss_lansim: 0.1221 (0.1246) loss_contra: 0.0075 (0.0349) time: 11.4499 data: 8.4083 max mem: 31630 Epoch: [2] [5200/5278] eta: 0:03:59 lr: 4.6628521921961915e-05 loss: 0.1765 (0.1959) loss_seg: 0.1753 (0.1944) loss_lansim: 0.1221 (0.1246) loss_contra: 0.0070 (0.0350) time: 11.4514 data: 8.4083 max mem: 31630 Epoch: [2] [5210/5278] eta: 0:03:28 lr: 4.662637382958331e-05 loss: 0.1754 (0.1959) loss_seg: 0.1729 (0.1943) loss_lansim: 0.1221 (0.1246) loss_contra: 0.0077 (0.0350) time: 11.4492 data: 8.4083 max mem: 31630 Epoch: [2] [5220/5278] eta: 0:02:58 lr: 4.662422572620872e-05 loss: 0.1754 (0.1959) loss_seg: 0.1735 (0.1943) loss_lansim: 0.1233 (0.1247) loss_contra: 0.0080 (0.0349) time: 11.4525 data: 8.4083 max mem: 31630 Epoch: [2] [5230/5278] eta: 0:02:27 lr: 4.662207761183754e-05 loss: 0.1739 (0.1959) loss_seg: 0.1725 (0.1943) loss_lansim: 0.1234 (0.1247) loss_contra: 0.0076 (0.0349) time: 11.4677 data: 8.4083 max mem: 31630 Epoch: [2] [5240/5278] eta: 0:01:56 lr: 4.661992948646913e-05 loss: 0.1741 (0.1959) loss_seg: 0.1729 (0.1943) loss_lansim: 0.1263 (0.1247) loss_contra: 0.0076 (0.0349) time: 3.0601 data: 0.0061 max mem: 31630 Epoch: [2] [5250/5278] eta: 0:01:26 lr: 4.661778135010289e-05 loss: 0.1765 (0.1960) loss_seg: 0.1753 (0.1944) loss_lansim: 0.1278 (0.1247) loss_contra: 0.0076 (0.0349) time: 3.0620 data: 0.0062 max mem: 31630 Epoch: [2] [5260/5278] eta: 0:00:55 lr: 4.661563320273819e-05 loss: 0.1761 (0.1960) loss_seg: 0.1750 (0.1944) loss_lansim: 0.1296 (0.1248) loss_contra: 0.0079 (0.0348) time: 3.0667 data: 0.0063 max mem: 31630 Epoch: [2] [5270/5278] eta: 0:00:24 lr: 4.661348504437441e-05 loss: 0.1775 (0.1960) loss_seg: 0.1761 (0.1944) loss_lansim: 0.1320 (0.1248) loss_contra: 0.0064 (0.0349) time: 3.0650 data: 0.0062 max mem: 31630 Epoch: [2] Total time: 4:30:16 Test: [ 0/2573] eta: 1:07:16 time: 1.5689 data: 1.3921 max mem: 31630 Test: [ 100/2573] eta: 0:06:25 time: 0.1419 data: 0.0016 max mem: 31630 Test: [ 200/2573] eta: 0:06:00 time: 0.1477 data: 0.0017 max mem: 31630 Test: [ 300/2573] eta: 0:05:36 time: 0.1409 data: 0.0016 max mem: 31630 Test: [ 400/2573] eta: 0:05:19 time: 0.1428 data: 0.0016 max mem: 31630 Test: [ 500/2573] eta: 0:05:04 time: 0.1464 data: 0.0016 max mem: 31630 Test: [ 600/2573] eta: 0:04:50 time: 0.1482 data: 0.0017 max mem: 31630 Test: [ 700/2573] eta: 0:04:36 time: 0.1515 data: 0.0017 max mem: 31630 Test: [ 800/2573] eta: 0:04:22 time: 0.1488 data: 0.0016 max mem: 31630 Test: [ 900/2573] eta: 0:04:07 time: 0.1484 data: 0.0017 max mem: 31630 Test: [1000/2573] eta: 0:03:52 time: 0.1476 data: 0.0017 max mem: 31630 Test: [1100/2573] eta: 0:03:37 time: 0.1467 data: 0.0017 max mem: 31630 Test: [1200/2573] eta: 0:03:22 time: 0.1482 data: 0.0016 max mem: 31630 Test: [1300/2573] eta: 0:03:08 time: 0.1474 data: 0.0017 max mem: 31630 Test: [1400/2573] eta: 0:02:53 time: 0.1483 data: 0.0017 max mem: 31630 Test: [1500/2573] eta: 0:02:38 time: 0.1498 data: 0.0017 max mem: 31630 Test: [1600/2573] eta: 0:02:23 time: 0.1472 data: 0.0016 max mem: 31630 Test: [1700/2573] eta: 0:02:09 time: 0.1483 data: 0.0017 max mem: 31630 Test: [1800/2573] eta: 0:01:54 time: 0.1442 data: 0.0016 max mem: 31630 Test: [1900/2573] eta: 0:01:39 time: 0.1442 data: 0.0017 max mem: 31630 Test: [2000/2573] eta: 0:01:24 time: 0.1424 data: 0.0016 max mem: 31630 Test: [2100/2573] eta: 0:01:09 time: 0.1490 data: 0.0017 max mem: 31630 Test: [2200/2573] eta: 0:00:54 time: 0.1425 data: 0.0016 max mem: 31630 Test: [2300/2573] eta: 0:00:40 time: 0.1490 data: 0.0016 max mem: 31630 Test: [2400/2573] eta: 0:00:25 time: 0.1452 data: 0.0016 max mem: 31630 Test: [2500/2573] eta: 0:00:10 time: 0.1481 data: 0.0017 max mem: 31630 Test: Total time: 0:06:18 Final results: precision@0.5 = 38.81 precision@0.6 = 31.72 precision@0.7 = 23.61 precision@0.8 = 15.36 precision@0.9 = 4.72 overall IoU = 41.18 mean IoU = 36.57 Better epoch: 2 The best_performance is 41.18039317024224 Epoch: [3] [ 0/5278] eta: 7:24:41 lr: 4.661176650976363e-05 loss: 0.1482 (0.1482) loss_seg: 0.1458 (0.1458) loss_lansim: 0.1435 (0.1435) loss_contra: 0.0979 (0.0979) time: 5.0553 data: 1.7971 max mem: 31630 Epoch: [3] [ 10/5278] eta: 4:39:30 lr: 4.660961833159995e-05 loss: 0.1482 (0.1552) loss_seg: 0.1458 (0.1533) loss_lansim: 0.1230 (0.1269) loss_contra: 0.0118 (0.0712) time: 3.1835 data: 0.1678 max mem: 31630 Epoch: [3] [ 20/5278] eta: 4:34:05 lr: 4.660747014243546e-05 loss: 0.1651 (0.1904) loss_seg: 0.1638 (0.1887) loss_lansim: 0.1321 (0.1322) loss_contra: 0.0075 (0.0404) time: 3.1278 data: 0.0903 max mem: 31630 Epoch: [3] [ 30/5278] eta: 4:30:45 lr: 4.6605321942269534e-05 loss: 0.1688 (0.1859) loss_seg: 0.1670 (0.1842) loss_lansim: 0.1346 (0.1367) loss_contra: 0.0075 (0.0297) time: 3.0955 data: 0.0632 max mem: 31630 Epoch: [3] [ 40/5278] eta: 4:28:23 lr: 4.6603173731101554e-05 loss: 0.1651 (0.1808) loss_seg: 0.1638 (0.1792) loss_lansim: 0.1356 (0.1376) loss_contra: 0.0073 (0.0254) time: 3.0743 data: 0.0491 max mem: 31630 Epoch: [3] [ 50/5278] eta: 4:27:51 lr: 4.660102550893091e-05 loss: 0.1627 (0.1807) loss_seg: 0.1614 (0.1791) loss_lansim: 0.1354 (0.1369) loss_contra: 0.0054 (0.0237) time: 3.0741 data: 0.0407 max mem: 31630 Epoch: [3] [ 60/5278] eta: 4:26:54 lr: 4.6598877275756966e-05 loss: 0.1587 (0.1755) loss_seg: 0.1574 (0.1739) loss_lansim: 0.1346 (0.1353) loss_contra: 0.0054 (0.0233) time: 3.0690 data: 0.0351 max mem: 31630 Epoch: [3] [ 70/5278] eta: 4:26:09 lr: 4.659672903157911e-05 loss: 0.1598 (0.1783) loss_seg: 0.1585 (0.1767) loss_lansim: 0.1333 (0.1343) loss_contra: 0.0052 (0.0209) time: 3.0663 data: 0.0309 max mem: 31630 Epoch: [3] [ 80/5278] eta: 4:25:03 lr: 4.659458077639672e-05 loss: 0.1627 (0.1786) loss_seg: 0.1614 (0.1771) loss_lansim: 0.1333 (0.1341) loss_contra: 0.0052 (0.0195) time: 3.0595 data: 0.0279 max mem: 31630 Epoch: [3] [ 90/5278] eta: 4:24:47 lr: 4.659243251020919e-05 loss: 0.1608 (0.1771) loss_seg: 0.1597 (0.1756) loss_lansim: 0.1322 (0.1333) loss_contra: 0.0043 (0.0187) time: 3.0623 data: 0.0254 max mem: 31630 Epoch: [3] [ 100/5278] eta: 4:23:55 lr: 4.659028423301589e-05 loss: 0.1651 (0.1804) loss_seg: 0.1638 (0.1789) loss_lansim: 0.1322 (0.1335) loss_contra: 0.0042 (0.0176) time: 3.0382 data: 0.0058 max mem: 31630 Epoch: [3] [ 110/5278] eta: 4:23:18 lr: 4.6588135944816183e-05 loss: 0.1688 (0.1785) loss_seg: 0.1670 (0.1770) loss_lansim: 0.1321 (0.1320) loss_contra: 0.0039 (0.0168) time: 3.0430 data: 0.0059 max mem: 31630 Epoch: [3] [ 120/5278] eta: 4:22:36 lr: 4.658598764560946e-05 loss: 0.1608 (0.1789) loss_seg: 0.1597 (0.1774) loss_lansim: 0.1317 (0.1319) loss_contra: 0.0042 (0.0176) time: 3.0394 data: 0.0059 max mem: 31630 Epoch: [3] [ 130/5278] eta: 4:21:58 lr: 4.658383933539512e-05 loss: 0.1608 (0.1812) loss_seg: 0.1597 (0.1797) loss_lansim: 0.1313 (0.1322) loss_contra: 0.0042 (0.0177) time: 3.0402 data: 0.0059 max mem: 31630 Epoch: [3] [ 140/5278] eta: 4:21:36 lr: 4.658169101417252e-05 loss: 0.1701 (0.1805) loss_seg: 0.1686 (0.1790) loss_lansim: 0.1308 (0.1322) loss_contra: 0.0042 (0.0181) time: 3.0471 data: 0.0060 max mem: 31630 Epoch: [3] [ 150/5278] eta: 4:21:25 lr: 4.657954268194105e-05 loss: 0.1679 (0.1786) loss_seg: 0.1665 (0.1771) loss_lansim: 0.1322 (0.1326) loss_contra: 0.0042 (0.0190) time: 3.0510 data: 0.0060 max mem: 31630 Epoch: [3] [ 160/5278] eta: 4:20:43 lr: 4.657739433870008e-05 loss: 0.1765 (0.1803) loss_seg: 0.1747 (0.1788) loss_lansim: 0.1329 (0.1328) loss_contra: 0.0042 (0.0194) time: 3.0489 data: 0.0060 max mem: 31630 Epoch: [3] [ 170/5278] eta: 4:20:08 lr: 4.657524598444899e-05 loss: 0.1693 (0.1789) loss_seg: 0.1683 (0.1774) loss_lansim: 0.1331 (0.1329) loss_contra: 0.0043 (0.0197) time: 3.0482 data: 0.0061 max mem: 31630 Epoch: [3] [ 180/5278] eta: 4:19:31 lr: 4.657309761918717e-05 loss: 0.1775 (0.1798) loss_seg: 0.1759 (0.1782) loss_lansim: 0.1339 (0.1334) loss_contra: 0.0049 (0.0215) time: 3.0505 data: 0.0060 max mem: 31630 Epoch: [3] [ 190/5278] eta: 4:18:43 lr: 4.657094924291399e-05 loss: 0.1807 (0.1802) loss_seg: 0.1787 (0.1787) loss_lansim: 0.1357 (0.1344) loss_contra: 0.0049 (0.0214) time: 3.0409 data: 0.0061 max mem: 31630 Epoch: [3] [ 200/5278] eta: 4:18:11 lr: 4.6568800855628835e-05 loss: 0.1693 (0.1789) loss_seg: 0.1683 (0.1773) loss_lansim: 0.1365 (0.1350) loss_contra: 0.0064 (0.0208) time: 3.0431 data: 0.0062 max mem: 31630 Epoch: [3] [ 210/5278] eta: 4:17:38 lr: 4.6566652457331084e-05 loss: 0.1679 (0.1784) loss_seg: 0.1665 (0.1768) loss_lansim: 0.1374 (0.1353) loss_contra: 0.0054 (0.0208) time: 3.0430 data: 0.0062 max mem: 31630 Epoch: [3] [ 220/5278] eta: 4:16:57 lr: 4.6564504048020116e-05 loss: 0.1701 (0.1791) loss_seg: 0.1689 (0.1776) loss_lansim: 0.1405 (0.1359) loss_contra: 0.0046 (0.0201) time: 3.0403 data: 0.0063 max mem: 31630 Epoch: [3] [ 230/5278] eta: 4:16:28 lr: 4.65623556276953e-05 loss: 0.1700 (0.1782) loss_seg: 0.1687 (0.1766) loss_lansim: 0.1421 (0.1371) loss_contra: 0.0047 (0.0199) time: 3.0421 data: 0.0063 max mem: 31630 Epoch: [3] [ 240/5278] eta: 4:16:01 lr: 4.656020719635602e-05 loss: 0.1665 (0.1777) loss_seg: 0.1650 (0.1761) loss_lansim: 0.1457 (0.1377) loss_contra: 0.0048 (0.0196) time: 3.0408 data: 0.0062 max mem: 31630 Epoch: [3] [ 250/5278] eta: 4:15:23 lr: 4.655805875400167e-05 loss: 0.1705 (0.1782) loss_seg: 0.1689 (0.1767) loss_lansim: 0.1460 (0.1381) loss_contra: 0.0054 (0.0192) time: 3.0306 data: 0.0062 max mem: 31630 Epoch: [3] [ 260/5278] eta: 4:14:55 lr: 4.6555910300631603e-05 loss: 0.1700 (0.1788) loss_seg: 0.1687 (0.1772) loss_lansim: 0.1466 (0.1384) loss_contra: 0.0050 (0.0191) time: 3.0347 data: 0.0062 max mem: 31630 Epoch: [3] [ 270/5278] eta: 4:14:19 lr: 4.655376183624521e-05 loss: 0.1709 (0.1788) loss_seg: 0.1693 (0.1773) loss_lansim: 0.1477 (0.1386) loss_contra: 0.0048 (0.0190) time: 3.0319 data: 0.0062 max mem: 31630 Epoch: [3] [ 280/5278] eta: 4:13:48 lr: 4.6551613360841876e-05 loss: 0.1687 (0.1788) loss_seg: 0.1673 (0.1772) loss_lansim: 0.1487 (0.1389) loss_contra: 0.0038 (0.0187) time: 3.0334 data: 0.0062 max mem: 31630 Epoch: [3] [ 290/5278] eta: 4:13:18 lr: 4.654946487442097e-05 loss: 0.1644 (0.1785) loss_seg: 0.1620 (0.1769) loss_lansim: 0.1461 (0.1391) loss_contra: 0.0048 (0.0187) time: 3.0390 data: 0.0061 max mem: 31630 Epoch: [3] [ 300/5278] eta: 4:12:42 lr: 4.6547316376981884e-05 loss: 0.1687 (0.1782) loss_seg: 0.1673 (0.1766) loss_lansim: 0.1460 (0.1393) loss_contra: 0.0044 (0.0190) time: 3.0365 data: 0.0060 max mem: 31630 Epoch: [3] [ 310/5278] eta: 4:12:18 lr: 4.654516786852398e-05 loss: 0.1687 (0.1778) loss_seg: 0.1673 (0.1763) loss_lansim: 0.1474 (0.1397) loss_contra: 0.0044 (0.0200) time: 3.0407 data: 0.0060 max mem: 31630 Epoch: [3] [ 320/5278] eta: 4:11:48 lr: 4.654301934904664e-05 loss: 0.1630 (0.1772) loss_seg: 0.1614 (0.1756) loss_lansim: 0.1474 (0.1402) loss_contra: 0.0048 (0.0197) time: 3.0454 data: 0.0060 max mem: 31630 Epoch: [3] [ 330/5278] eta: 4:11:19 lr: 4.654087081854925e-05 loss: 0.1630 (0.1765) loss_seg: 0.1614 (0.1749) loss_lansim: 0.1461 (0.1405) loss_contra: 0.0052 (0.0202) time: 3.0455 data: 0.0060 max mem: 31630 Epoch: [3] [ 340/5278] eta: 4:10:53 lr: 4.653872227703118e-05 loss: 0.1630 (0.1763) loss_seg: 0.1614 (0.1747) loss_lansim: 0.1455 (0.1404) loss_contra: 0.0052 (0.0202) time: 3.0473 data: 0.0060 max mem: 31630 Epoch: [3] [ 350/5278] eta: 4:10:19 lr: 4.6536573724491814e-05 loss: 0.1630 (0.1771) loss_seg: 0.1614 (0.1754) loss_lansim: 0.1461 (0.1408) loss_contra: 0.0052 (0.0217) time: 3.0486 data: 0.0060 max mem: 31630 Epoch: [3] [ 360/5278] eta: 4:09:57 lr: 4.653442516093052e-05 loss: 0.1623 (0.1770) loss_seg: 0.1608 (0.1753) loss_lansim: 0.1456 (0.1410) loss_contra: 0.0052 (0.0213) time: 3.0533 data: 0.0060 max mem: 31630 Epoch: [3] [ 370/5278] eta: 4:09:26 lr: 4.653227658634669e-05 loss: 0.1621 (0.1767) loss_seg: 0.1604 (0.1750) loss_lansim: 0.1455 (0.1412) loss_contra: 0.0054 (0.0213) time: 3.0562 data: 0.0059 max mem: 31630 Epoch: [3] [ 380/5278] eta: 4:08:56 lr: 4.65301280007397e-05 loss: 0.1629 (0.1766) loss_seg: 0.1612 (0.1749) loss_lansim: 0.1455 (0.1416) loss_contra: 0.0054 (0.0210) time: 3.0565 data: 0.0059 max mem: 31630 Epoch: [3] [ 390/5278] eta: 4:08:26 lr: 4.652797940410892e-05 loss: 0.1629 (0.1767) loss_seg: 0.1612 (0.1751) loss_lansim: 0.1466 (0.1419) loss_contra: 0.0050 (0.0208) time: 3.0573 data: 0.0059 max mem: 31630 Epoch: [3] [ 400/5278] eta: 4:08:01 lr: 4.6525830796453726e-05 loss: 0.1629 (0.1766) loss_seg: 0.1612 (0.1749) loss_lansim: 0.1469 (0.1422) loss_contra: 0.0049 (0.0206) time: 3.0651 data: 0.0059 max mem: 31630 Epoch: [3] [ 410/5278] eta: 4:07:27 lr: 4.65236821777735e-05 loss: 0.1629 (0.1771) loss_seg: 0.1612 (0.1755) loss_lansim: 0.1463 (0.1425) loss_contra: 0.0050 (0.0203) time: 3.0587 data: 0.0059 max mem: 31630 Epoch: [3] [ 420/5278] eta: 4:06:58 lr: 4.652153354806763e-05 loss: 0.1629 (0.1772) loss_seg: 0.1612 (0.1756) loss_lansim: 0.1466 (0.1427) loss_contra: 0.0047 (0.0211) time: 3.0604 data: 0.0060 max mem: 31630 Epoch: [3] [ 430/5278] eta: 4:06:38 lr: 4.651938490733548e-05 loss: 0.1598 (0.1766) loss_seg: 0.1580 (0.1750) loss_lansim: 0.1463 (0.1427) loss_contra: 0.0039 (0.0211) time: 3.0685 data: 0.0060 max mem: 31630 Epoch: [3] [ 440/5278] eta: 4:06:00 lr: 4.651723625557644e-05 loss: 0.1611 (0.1766) loss_seg: 0.1593 (0.1750) loss_lansim: 0.1462 (0.1424) loss_contra: 0.0046 (0.0210) time: 3.0590 data: 0.0060 max mem: 31630 Epoch: [3] [ 450/5278] eta: 4:05:29 lr: 4.6515087592789864e-05 loss: 0.1625 (0.1764) loss_seg: 0.1610 (0.1747) loss_lansim: 0.1441 (0.1422) loss_contra: 0.0046 (0.0212) time: 3.0610 data: 0.0060 max mem: 31630 Epoch: [3] [ 460/5278] eta: 4:05:06 lr: 4.651293891897515e-05 loss: 0.1629 (0.1766) loss_seg: 0.1612 (0.1750) loss_lansim: 0.1433 (0.1421) loss_contra: 0.0048 (0.0211) time: 3.0627 data: 0.0060 max mem: 31630 Epoch: [3] [ 470/5278] eta: 4:04:29 lr: 4.651079023413167e-05 loss: 0.1630 (0.1767) loss_seg: 0.1616 (0.1751) loss_lansim: 0.1433 (0.1422) loss_contra: 0.0047 (0.0210) time: 3.0569 data: 0.0061 max mem: 31630 Epoch: [3] [ 480/5278] eta: 4:03:55 lr: 4.6508641538258805e-05 loss: 0.1625 (0.1767) loss_seg: 0.1610 (0.1751) loss_lansim: 0.1415 (0.1419) loss_contra: 0.0048 (0.0207) time: 3.0537 data: 0.0061 max mem: 31630 Epoch: [3] [ 490/5278] eta: 4:03:22 lr: 4.650649283135593e-05 loss: 0.1621 (0.1764) loss_seg: 0.1597 (0.1747) loss_lansim: 0.1401 (0.1418) loss_contra: 0.0048 (0.0205) time: 3.0510 data: 0.0062 max mem: 31630 Epoch: [3] [ 500/5278] eta: 4:02:52 lr: 4.6504344113422416e-05 loss: 0.1621 (0.1763) loss_seg: 0.1597 (0.1747) loss_lansim: 0.1371 (0.1416) loss_contra: 0.0051 (0.0203) time: 3.0465 data: 0.0063 max mem: 31630 Epoch: [3] [ 510/5278] eta: 4:02:19 lr: 4.650219538445764e-05 loss: 0.1608 (0.1761) loss_seg: 0.1596 (0.1745) loss_lansim: 0.1364 (0.1416) loss_contra: 0.0048 (0.0202) time: 3.0465 data: 0.0063 max mem: 31630 Epoch: [3] [ 520/5278] eta: 4:01:35 lr: 4.6500046644461e-05 loss: 0.1608 (0.1761) loss_seg: 0.1596 (0.1744) loss_lansim: 0.1327 (0.1412) loss_contra: 0.0054 (0.0218) time: 3.0302 data: 0.0062 max mem: 31630 Epoch: [3] [ 530/5278] eta: 5:49:27 lr: 4.649789789343184e-05 loss: 0.1671 (0.1771) loss_seg: 0.1656 (0.1755) loss_lansim: 0.1329 (0.1411) loss_contra: 0.0055 (0.0217) time: 10.2932 data: 7.2874 max mem: 31630 Epoch: [3] [ 540/5278] eta: 5:46:43 lr: 4.649574913136956e-05 loss: 0.1662 (0.1771) loss_seg: 0.1641 (0.1754) loss_lansim: 0.1338 (0.1413) loss_contra: 0.0063 (0.0239) time: 10.2999 data: 7.2873 max mem: 31630 Epoch: [3] [ 550/5278] eta: 5:44:00 lr: 4.649360035827353e-05 loss: 0.1662 (0.1775) loss_seg: 0.1641 (0.1758) loss_lansim: 0.1345 (0.1417) loss_contra: 0.0073 (0.0256) time: 10.2951 data: 7.2871 max mem: 31630 Epoch: [3] [ 560/5278] eta: 5:41:26 lr: 4.649145157414313e-05 loss: 0.1671 (0.1776) loss_seg: 0.1647 (0.1759) loss_lansim: 0.1352 (0.1419) loss_contra: 0.0066 (0.0256) time: 10.2882 data: 7.2870 max mem: 31630 Epoch: [3] [ 570/5278] eta: 5:38:54 lr: 4.648930277897773e-05 loss: 0.1684 (0.1782) loss_seg: 0.1666 (0.1765) loss_lansim: 0.1347 (0.1419) loss_contra: 0.0082 (0.0264) time: 10.2925 data: 7.2869 max mem: 31630 Epoch: [3] [ 580/5278] eta: 5:36:27 lr: 4.648715397277671e-05 loss: 0.1698 (0.1783) loss_seg: 0.1684 (0.1767) loss_lansim: 0.1350 (0.1420) loss_contra: 0.0086 (0.0268) time: 10.2940 data: 7.2869 max mem: 31630 Epoch: [3] [ 590/5278] eta: 5:34:09 lr: 4.648500515553945e-05 loss: 0.1684 (0.1780) loss_seg: 0.1670 (0.1763) loss_lansim: 0.1356 (0.1422) loss_contra: 0.0087 (0.0267) time: 10.3014 data: 7.2868 max mem: 31630 Epoch: [3] [ 600/5278] eta: 5:31:47 lr: 4.648285632726532e-05 loss: 0.1698 (0.1783) loss_seg: 0.1684 (0.1766) loss_lansim: 0.1403 (0.1422) loss_contra: 0.0086 (0.0265) time: 10.2959 data: 7.2867 max mem: 31630 Epoch: [3] [ 610/5278] eta: 5:29:33 lr: 4.64807074879537e-05 loss: 0.1740 (0.1782) loss_seg: 0.1712 (0.1765) loss_lansim: 0.1415 (0.1423) loss_contra: 0.0086 (0.0269) time: 10.3000 data: 7.2866 max mem: 31630 Epoch: [3] [ 620/5278] eta: 5:27:22 lr: 4.647855863760397e-05 loss: 0.1739 (0.1779) loss_seg: 0.1710 (0.1762) loss_lansim: 0.1469 (0.1424) loss_contra: 0.0082 (0.0267) time: 10.3153 data: 7.2866 max mem: 31630 Epoch: [3] [ 630/5278] eta: 5:25:16 lr: 4.6476409776215496e-05 loss: 0.1684 (0.1779) loss_seg: 0.1670 (0.1762) loss_lansim: 0.1479 (0.1424) loss_contra: 0.0087 (0.0268) time: 3.0456 data: 0.0055 max mem: 31630 Epoch: [3] [ 640/5278] eta: 5:23:10 lr: 4.647426090378767e-05 loss: 0.1684 (0.1777) loss_seg: 0.1670 (0.1760) loss_lansim: 0.1474 (0.1424) loss_contra: 0.0082 (0.0265) time: 3.0448 data: 0.0055 max mem: 31630 Epoch: [3] [ 650/5278] eta: 5:21:04 lr: 4.6472112020319844e-05 loss: 0.1666 (0.1777) loss_seg: 0.1646 (0.1760) loss_lansim: 0.1458 (0.1426) loss_contra: 0.0065 (0.0262) time: 3.0445 data: 0.0057 max mem: 31630 Epoch: [3] [ 660/5278] eta: 5:19:00 lr: 4.646996312581142e-05 loss: 0.1666 (0.1779) loss_seg: 0.1653 (0.1762) loss_lansim: 0.1446 (0.1426) loss_contra: 0.0063 (0.0260) time: 3.0373 data: 0.0057 max mem: 31630 Epoch: [3] [ 670/5278] eta: 5:17:03 lr: 4.646781422026176e-05 loss: 0.1643 (0.1780) loss_seg: 0.1628 (0.1763) loss_lansim: 0.1436 (0.1425) loss_contra: 0.0061 (0.0261) time: 3.0388 data: 0.0060 max mem: 31630 Epoch: [3] [ 680/5278] eta: 5:15:06 lr: 4.6465665303670245e-05 loss: 0.1666 (0.1780) loss_seg: 0.1653 (0.1763) loss_lansim: 0.1456 (0.1426) loss_contra: 0.0056 (0.0261) time: 3.0361 data: 0.0060 max mem: 31630 Epoch: [3] [ 690/5278] eta: 5:13:17 lr: 4.646351637603625e-05 loss: 0.1705 (0.1782) loss_seg: 0.1673 (0.1765) loss_lansim: 0.1415 (0.1425) loss_contra: 0.0061 (0.0260) time: 3.0350 data: 0.0061 max mem: 31630 Epoch: [3] [ 700/5278] eta: 5:11:29 lr: 4.646136743735914e-05 loss: 0.1714 (0.1782) loss_seg: 0.1700 (0.1765) loss_lansim: 0.1407 (0.1424) loss_contra: 0.0053 (0.0259) time: 3.0420 data: 0.0061 max mem: 31630 Epoch: [3] [ 710/5278] eta: 5:09:39 lr: 4.6459218487638304e-05 loss: 0.1722 (0.1787) loss_seg: 0.1706 (0.1770) loss_lansim: 0.1400 (0.1424) loss_contra: 0.0046 (0.0257) time: 3.0362 data: 0.0062 max mem: 31630 Epoch: [3] [ 720/5278] eta: 5:07:56 lr: 4.645706952687312e-05 loss: 0.1714 (0.1782) loss_seg: 0.1700 (0.1765) loss_lansim: 0.1377 (0.1422) loss_contra: 0.0041 (0.0257) time: 3.0390 data: 0.0063 max mem: 31630 Epoch: [3] [ 730/5278] eta: 5:06:11 lr: 4.645492055506295e-05 loss: 0.1714 (0.1782) loss_seg: 0.1700 (0.1765) loss_lansim: 0.1369 (0.1422) loss_contra: 0.0039 (0.0260) time: 3.0329 data: 0.0063 max mem: 31630 Epoch: [3] [ 740/5278] eta: 5:04:28 lr: 4.6452771572207176e-05 loss: 0.1753 (0.1785) loss_seg: 0.1740 (0.1769) loss_lansim: 0.1367 (0.1422) loss_contra: 0.0046 (0.0265) time: 3.0301 data: 0.0064 max mem: 31630 Epoch: [3] [ 750/5278] eta: 5:02:46 lr: 4.645062257830518e-05 loss: 0.1774 (0.1791) loss_seg: 0.1762 (0.1774) loss_lansim: 0.1367 (0.1423) loss_contra: 0.0064 (0.0267) time: 3.0320 data: 0.0065 max mem: 31630 Epoch: [3] [ 760/5278] eta: 5:01:06 lr: 4.644847357335633e-05 loss: 0.1757 (0.1794) loss_seg: 0.1743 (0.1777) loss_lansim: 0.1374 (0.1425) loss_contra: 0.0094 (0.0266) time: 3.0330 data: 0.0066 max mem: 31630 Epoch: [3] [ 770/5278] eta: 4:59:28 lr: 4.644632455736001e-05 loss: 0.1774 (0.1795) loss_seg: 0.1762 (0.1778) loss_lansim: 0.1384 (0.1426) loss_contra: 0.0099 (0.0269) time: 3.0291 data: 0.0066 max mem: 31630 Epoch: [3] [ 780/5278] eta: 4:57:49 lr: 4.644417553031557e-05 loss: 0.1808 (0.1796) loss_seg: 0.1793 (0.1779) loss_lansim: 0.1382 (0.1427) loss_contra: 0.0104 (0.0270) time: 3.0247 data: 0.0066 max mem: 31630 Epoch: [3] [ 790/5278] eta: 4:56:12 lr: 4.644202649222241e-05 loss: 0.1808 (0.1796) loss_seg: 0.1793 (0.1779) loss_lansim: 0.1416 (0.1430) loss_contra: 0.0091 (0.0277) time: 3.0121 data: 0.0067 max mem: 31630 Epoch: [3] [ 800/5278] eta: 4:54:35 lr: 4.6439877443079905e-05 loss: 0.1809 (0.1794) loss_seg: 0.1794 (0.1777) loss_lansim: 0.1436 (0.1431) loss_contra: 0.0104 (0.0279) time: 2.9992 data: 0.0068 max mem: 31630 Epoch: [3] [ 810/5278] eta: 4:53:02 lr: 4.643772838288742e-05 loss: 0.1790 (0.1794) loss_seg: 0.1773 (0.1777) loss_lansim: 0.1433 (0.1430) loss_contra: 0.0106 (0.0277) time: 2.9957 data: 0.0069 max mem: 31630 Epoch: [3] [ 820/5278] eta: 4:51:32 lr: 4.643557931164434e-05 loss: 0.1873 (0.1798) loss_seg: 0.1855 (0.1781) loss_lansim: 0.1473 (0.1431) loss_contra: 0.0107 (0.0278) time: 2.9877 data: 0.0069 max mem: 31630 Epoch: [3] [ 830/5278] eta: 4:50:02 lr: 4.6433430229350024e-05 loss: 0.1888 (0.1798) loss_seg: 0.1873 (0.1781) loss_lansim: 0.1473 (0.1430) loss_contra: 0.0106 (0.0277) time: 2.9838 data: 0.0068 max mem: 31630 Epoch: [3] [ 840/5278] eta: 4:48:32 lr: 4.6431281136003864e-05 loss: 0.1882 (0.1803) loss_seg: 0.1859 (0.1786) loss_lansim: 0.1474 (0.1432) loss_contra: 0.0104 (0.0279) time: 2.9780 data: 0.0068 max mem: 31630 Epoch: [3] [ 850/5278] eta: 4:47:04 lr: 4.642913203160522e-05 loss: 0.1870 (0.1804) loss_seg: 0.1855 (0.1787) loss_lansim: 0.1486 (0.1433) loss_contra: 0.0091 (0.0282) time: 2.9723 data: 0.0067 max mem: 31630 Epoch: [3] [ 860/5278] eta: 4:45:41 lr: 4.642698291615348e-05 loss: 0.1863 (0.1805) loss_seg: 0.1845 (0.1788) loss_lansim: 0.1473 (0.1433) loss_contra: 0.0085 (0.0284) time: 2.9760 data: 0.0067 max mem: 31630 Epoch: [3] [ 870/5278] eta: 4:44:17 lr: 4.6424833789648e-05 loss: 0.1799 (0.1807) loss_seg: 0.1787 (0.1790) loss_lansim: 0.1486 (0.1435) loss_contra: 0.0083 (0.0288) time: 2.9744 data: 0.0067 max mem: 31630 Epoch: [3] [ 880/5278] eta: 4:43:00 lr: 4.642268465208818e-05 loss: 0.1790 (0.1806) loss_seg: 0.1773 (0.1789) loss_lansim: 0.1490 (0.1437) loss_contra: 0.0071 (0.0288) time: 2.9871 data: 0.0066 max mem: 31630 Epoch: [3] [ 890/5278] eta: 4:41:44 lr: 4.6420535503473385e-05 loss: 0.1787 (0.1807) loss_seg: 0.1771 (0.1789) loss_lansim: 0.1489 (0.1437) loss_contra: 0.0084 (0.0299) time: 3.0019 data: 0.0065 max mem: 31630 Epoch: [3] [ 900/5278] eta: 4:40:24 lr: 4.641838634380298e-05 loss: 0.1787 (0.1806) loss_seg: 0.1771 (0.1789) loss_lansim: 0.1486 (0.1439) loss_contra: 0.0102 (0.0299) time: 3.0087 data: 0.0063 max mem: 31630 Epoch: [3] [ 910/5278] eta: 4:39:08 lr: 4.6416237173076335e-05 loss: 0.1848 (0.1811) loss_seg: 0.1832 (0.1794) loss_lansim: 0.1489 (0.1439) loss_contra: 0.0121 (0.0301) time: 3.0178 data: 0.0063 max mem: 31630 Epoch: [3] [ 920/5278] eta: 4:37:54 lr: 4.641408799129285e-05 loss: 0.1799 (0.1811) loss_seg: 0.1784 (0.1794) loss_lansim: 0.1489 (0.1440) loss_contra: 0.0122 (0.0309) time: 3.0235 data: 0.0062 max mem: 31630 Epoch: [3] [ 930/5278] eta: 4:36:38 lr: 4.641193879845187e-05 loss: 0.1799 (0.1811) loss_seg: 0.1784 (0.1794) loss_lansim: 0.1499 (0.1441) loss_contra: 0.0140 (0.0309) time: 3.0296 data: 0.0061 max mem: 31630 Epoch: [3] [ 940/5278] eta: 4:35:24 lr: 4.64097895945528e-05 loss: 0.1799 (0.1813) loss_seg: 0.1784 (0.1795) loss_lansim: 0.1489 (0.1441) loss_contra: 0.0121 (0.0306) time: 3.0385 data: 0.0061 max mem: 31630 Epoch: [3] [ 950/5278] eta: 4:34:12 lr: 4.6407640379594985e-05 loss: 0.1768 (0.1813) loss_seg: 0.1752 (0.1795) loss_lansim: 0.1485 (0.1441) loss_contra: 0.0131 (0.0306) time: 3.0478 data: 0.0059 max mem: 31630 Epoch: [3] [ 960/5278] eta: 4:32:59 lr: 4.640549115357781e-05 loss: 0.1799 (0.1811) loss_seg: 0.1784 (0.1793) loss_lansim: 0.1485 (0.1440) loss_contra: 0.0121 (0.0306) time: 3.0470 data: 0.0058 max mem: 31630 Epoch: [3] [ 970/5278] eta: 4:31:49 lr: 4.6403341916500656e-05 loss: 0.1743 (0.1812) loss_seg: 0.1729 (0.1794) loss_lansim: 0.1474 (0.1440) loss_contra: 0.0121 (0.0306) time: 3.0546 data: 0.0057 max mem: 31630 Epoch: [3] [ 980/5278] eta: 4:30:37 lr: 4.640119266836289e-05 loss: 0.1748 (0.1814) loss_seg: 0.1729 (0.1796) loss_lansim: 0.1464 (0.1440) loss_contra: 0.0121 (0.0305) time: 3.0483 data: 0.0056 max mem: 31630 Epoch: [3] [ 990/5278] eta: 4:29:28 lr: 4.639904340916389e-05 loss: 0.1760 (0.1813) loss_seg: 0.1742 (0.1796) loss_lansim: 0.1439 (0.1439) loss_contra: 0.0094 (0.0302) time: 3.0408 data: 0.0056 max mem: 31630 Epoch: [3] [1000/5278] eta: 4:28:20 lr: 4.639689413890302e-05 loss: 0.1813 (0.1813) loss_seg: 0.1797 (0.1795) loss_lansim: 0.1435 (0.1438) loss_contra: 0.0081 (0.0300) time: 3.0471 data: 0.0057 max mem: 31630 Epoch: [3] [1010/5278] eta: 4:27:12 lr: 4.6394744857579665e-05 loss: 0.1760 (0.1811) loss_seg: 0.1747 (0.1793) loss_lansim: 0.1401 (0.1437) loss_contra: 0.0072 (0.0298) time: 3.0470 data: 0.0058 max mem: 31630 Epoch: [3] [1020/5278] eta: 4:26:05 lr: 4.639259556519319e-05 loss: 0.1748 (0.1812) loss_seg: 0.1729 (0.1795) loss_lansim: 0.1400 (0.1436) loss_contra: 0.0064 (0.0297) time: 3.0443 data: 0.0058 max mem: 31630 Epoch: [3] [1030/5278] eta: 4:24:58 lr: 4.6390446261742974e-05 loss: 0.1732 (0.1810) loss_seg: 0.1710 (0.1793) loss_lansim: 0.1386 (0.1435) loss_contra: 0.0054 (0.0297) time: 3.0455 data: 0.0059 max mem: 31630 Epoch: [3] [1040/5278] eta: 4:23:53 lr: 4.638829694722839e-05 loss: 0.1732 (0.1810) loss_seg: 0.1710 (0.1793) loss_lansim: 0.1374 (0.1435) loss_contra: 0.0047 (0.0299) time: 3.0456 data: 0.0060 max mem: 31630 Epoch: [3] [1050/5278] eta: 4:22:49 lr: 4.638614762164882e-05 loss: 0.1723 (0.1810) loss_seg: 0.1710 (0.1793) loss_lansim: 0.1338 (0.1433) loss_contra: 0.0039 (0.0298) time: 3.0484 data: 0.0061 max mem: 31630 Epoch: [3] [1060/5278] eta: 4:21:42 lr: 4.638399828500362e-05 loss: 0.1694 (0.1808) loss_seg: 0.1676 (0.1791) loss_lansim: 0.1320 (0.1431) loss_contra: 0.0038 (0.0297) time: 3.0439 data: 0.0061 max mem: 31630 Epoch: [3] [1070/5278] eta: 4:20:37 lr: 4.638184893729216e-05 loss: 0.1694 (0.1808) loss_seg: 0.1677 (0.1790) loss_lansim: 0.1310 (0.1430) loss_contra: 0.0038 (0.0297) time: 3.0408 data: 0.0062 max mem: 31630 Epoch: [3] [1080/5278] eta: 4:19:34 lr: 4.6379699578513836e-05 loss: 0.1701 (0.1807) loss_seg: 0.1677 (0.1790) loss_lansim: 0.1310 (0.1429) loss_contra: 0.0038 (0.0297) time: 3.0436 data: 0.0063 max mem: 31630 Epoch: [3] [1090/5278] eta: 4:18:31 lr: 4.637755020866801e-05 loss: 0.1689 (0.1804) loss_seg: 0.1653 (0.1787) loss_lansim: 0.1304 (0.1428) loss_contra: 0.0036 (0.0295) time: 3.0424 data: 0.0064 max mem: 31630 Epoch: [3] [1100/5278] eta: 4:17:30 lr: 4.6375400827754054e-05 loss: 0.1571 (0.1803) loss_seg: 0.1559 (0.1785) loss_lansim: 0.1303 (0.1427) loss_contra: 0.0036 (0.0294) time: 3.0421 data: 0.0064 max mem: 31630 Epoch: [3] [1110/5278] eta: 4:16:29 lr: 4.637325143577134e-05 loss: 0.1619 (0.1803) loss_seg: 0.1600 (0.1786) loss_lansim: 0.1298 (0.1425) loss_contra: 0.0036 (0.0295) time: 3.0417 data: 0.0063 max mem: 31630 Epoch: [3] [1120/5278] eta: 4:15:28 lr: 4.6371102032719236e-05 loss: 0.1613 (0.1803) loss_seg: 0.1587 (0.1785) loss_lansim: 0.1284 (0.1423) loss_contra: 0.0038 (0.0296) time: 3.0437 data: 0.0063 max mem: 31630 Epoch: [3] [1130/5278] eta: 4:14:25 lr: 4.636895261859713e-05 loss: 0.1689 (0.1807) loss_seg: 0.1659 (0.1790) loss_lansim: 0.1275 (0.1423) loss_contra: 0.0037 (0.0296) time: 3.0374 data: 0.0063 max mem: 31630 Epoch: [3] [1140/5278] eta: 4:13:27 lr: 4.636680319340439e-05 loss: 0.1690 (0.1810) loss_seg: 0.1667 (0.1793) loss_lansim: 0.1284 (0.1423) loss_contra: 0.0049 (0.0299) time: 3.0423 data: 0.0064 max mem: 31630 Epoch: [3] [1150/5278] eta: 4:12:28 lr: 4.6364653757140375e-05 loss: 0.1750 (0.1812) loss_seg: 0.1734 (0.1794) loss_lansim: 0.1298 (0.1423) loss_contra: 0.0066 (0.0300) time: 3.0389 data: 0.0064 max mem: 31630 Epoch: [3] [1160/5278] eta: 4:11:29 lr: 4.6362504309804475e-05 loss: 0.1807 (0.1816) loss_seg: 0.1786 (0.1799) loss_lansim: 0.1304 (0.1422) loss_contra: 0.0069 (0.0299) time: 3.0454 data: 0.0065 max mem: 31630 Epoch: [3] [1170/5278] eta: 4:10:31 lr: 4.6360354851396046e-05 loss: 0.1819 (0.1817) loss_seg: 0.1804 (0.1800) loss_lansim: 0.1329 (0.1422) loss_contra: 0.0069 (0.0299) time: 3.0475 data: 0.0066 max mem: 31630 Epoch: [3] [1180/5278] eta: 4:09:32 lr: 4.6358205381914484e-05 loss: 0.1807 (0.1816) loss_seg: 0.1786 (0.1799) loss_lansim: 0.1329 (0.1421) loss_contra: 0.0066 (0.0297) time: 3.0432 data: 0.0066 max mem: 31630 Epoch: [3] [1190/5278] eta: 4:08:34 lr: 4.635605590135914e-05 loss: 0.1795 (0.1813) loss_seg: 0.1778 (0.1796) loss_lansim: 0.1336 (0.1421) loss_contra: 0.0069 (0.0295) time: 3.0442 data: 0.0067 max mem: 31630 Epoch: [3] [1200/5278] eta: 4:07:38 lr: 4.635390640972939e-05 loss: 0.1799 (0.1812) loss_seg: 0.1783 (0.1795) loss_lansim: 0.1348 (0.1421) loss_contra: 0.0069 (0.0293) time: 3.0447 data: 0.0068 max mem: 31630 Epoch: [3] [1210/5278] eta: 4:06:40 lr: 4.635175690702461e-05 loss: 0.1795 (0.1812) loss_seg: 0.1778 (0.1795) loss_lansim: 0.1371 (0.1420) loss_contra: 0.0051 (0.0291) time: 3.0386 data: 0.0068 max mem: 31630 Epoch: [3] [1220/5278] eta: 4:05:46 lr: 4.634960739324419e-05 loss: 0.1799 (0.1813) loss_seg: 0.1783 (0.1796) loss_lansim: 0.1371 (0.1419) loss_contra: 0.0043 (0.0289) time: 3.0428 data: 0.0068 max mem: 31630 Epoch: [3] [1230/5278] eta: 4:04:48 lr: 4.6347457868387466e-05 loss: 0.1799 (0.1813) loss_seg: 0.1783 (0.1796) loss_lansim: 0.1372 (0.1419) loss_contra: 0.0045 (0.0290) time: 3.0452 data: 0.0067 max mem: 31630 Epoch: [3] [1240/5278] eta: 4:03:54 lr: 4.634530833245383e-05 loss: 0.1741 (0.1811) loss_seg: 0.1726 (0.1794) loss_lansim: 0.1352 (0.1418) loss_contra: 0.0043 (0.0288) time: 3.0415 data: 0.0067 max mem: 31630 Epoch: [3] [1250/5278] eta: 4:02:58 lr: 4.634315878544266e-05 loss: 0.1702 (0.1811) loss_seg: 0.1687 (0.1794) loss_lansim: 0.1340 (0.1418) loss_contra: 0.0038 (0.0289) time: 3.0398 data: 0.0066 max mem: 31630 Epoch: [3] [1260/5278] eta: 4:02:02 lr: 4.634100922735331e-05 loss: 0.1711 (0.1813) loss_seg: 0.1697 (0.1796) loss_lansim: 0.1359 (0.1418) loss_contra: 0.0038 (0.0288) time: 3.0337 data: 0.0065 max mem: 31630 Epoch: [3] [1270/5278] eta: 4:01:07 lr: 4.633885965818518e-05 loss: 0.1715 (0.1814) loss_seg: 0.1703 (0.1797) loss_lansim: 0.1367 (0.1418) loss_contra: 0.0032 (0.0286) time: 3.0322 data: 0.0064 max mem: 31630 Epoch: [3] [1280/5278] eta: 4:00:14 lr: 4.633671007793761e-05 loss: 0.1741 (0.1816) loss_seg: 0.1720 (0.1799) loss_lansim: 0.1381 (0.1417) loss_contra: 0.0032 (0.0287) time: 3.0373 data: 0.0063 max mem: 31630 Epoch: [3] [1290/5278] eta: 3:59:19 lr: 4.633456048660999e-05 loss: 0.1746 (0.1817) loss_seg: 0.1732 (0.1800) loss_lansim: 0.1365 (0.1416) loss_contra: 0.0032 (0.0286) time: 3.0329 data: 0.0062 max mem: 31630 Epoch: [3] [1300/5278] eta: 3:58:27 lr: 4.6332410884201686e-05 loss: 0.1746 (0.1816) loss_seg: 0.1732 (0.1799) loss_lansim: 0.1356 (0.1416) loss_contra: 0.0032 (0.0285) time: 3.0331 data: 0.0061 max mem: 31630 Epoch: [3] [1310/5278] eta: 3:57:36 lr: 4.633026127071208e-05 loss: 0.1768 (0.1817) loss_seg: 0.1750 (0.1800) loss_lansim: 0.1365 (0.1416) loss_contra: 0.0037 (0.0289) time: 3.0444 data: 0.0061 max mem: 31630 Epoch: [3] [1320/5278] eta: 3:56:41 lr: 4.6328111646140535e-05 loss: 0.1808 (0.1818) loss_seg: 0.1795 (0.1801) loss_lansim: 0.1360 (0.1415) loss_contra: 0.0038 (0.0293) time: 3.0298 data: 0.0062 max mem: 31630 Epoch: [3] [1330/5278] eta: 3:55:50 lr: 4.6325962010486416e-05 loss: 0.1759 (0.1818) loss_seg: 0.1746 (0.1801) loss_lansim: 0.1360 (0.1415) loss_contra: 0.0049 (0.0294) time: 3.0378 data: 0.0062 max mem: 31630 Epoch: [3] [1340/5278] eta: 3:54:59 lr: 4.632381236374911e-05 loss: 0.1871 (0.1822) loss_seg: 0.1814 (0.1805) loss_lansim: 0.1367 (0.1415) loss_contra: 0.0066 (0.0297) time: 3.0368 data: 0.0062 max mem: 31630 Epoch: [3] [1350/5278] eta: 3:54:10 lr: 4.632166270592797e-05 loss: 0.1875 (0.1821) loss_seg: 0.1849 (0.1803) loss_lansim: 0.1373 (0.1415) loss_contra: 0.0066 (0.0303) time: 3.0469 data: 0.0062 max mem: 31630 Epoch: [3] [1360/5278] eta: 3:53:18 lr: 4.6319513037022385e-05 loss: 0.1871 (0.1822) loss_seg: 0.1814 (0.1804) loss_lansim: 0.1381 (0.1415) loss_contra: 0.0066 (0.0303) time: 3.0496 data: 0.0063 max mem: 31630 Epoch: [3] [1370/5278] eta: 3:52:27 lr: 4.631736335703171e-05 loss: 0.1759 (0.1821) loss_seg: 0.1743 (0.1804) loss_lansim: 0.1384 (0.1416) loss_contra: 0.0092 (0.0306) time: 3.0494 data: 0.0063 max mem: 31630 Epoch: [3] [1380/5278] eta: 3:51:38 lr: 4.6315213665955323e-05 loss: 0.1729 (0.1819) loss_seg: 0.1713 (0.1802) loss_lansim: 0.1399 (0.1417) loss_contra: 0.0100 (0.0306) time: 3.0553 data: 0.0063 max mem: 31630 Epoch: [3] [1390/5278] eta: 3:50:49 lr: 4.6313063963792605e-05 loss: 0.1729 (0.1818) loss_seg: 0.1713 (0.1801) loss_lansim: 0.1402 (0.1417) loss_contra: 0.0129 (0.0306) time: 3.0648 data: 0.0063 max mem: 31630 Epoch: [3] [1400/5278] eta: 3:49:56 lr: 4.631091425054292e-05 loss: 0.1725 (0.1816) loss_seg: 0.1711 (0.1799) loss_lansim: 0.1407 (0.1417) loss_contra: 0.0100 (0.0306) time: 3.0478 data: 0.0063 max mem: 31630 Epoch: [3] [1410/5278] eta: 3:49:07 lr: 4.630876452620563e-05 loss: 0.1708 (0.1815) loss_seg: 0.1686 (0.1798) loss_lansim: 0.1402 (0.1416) loss_contra: 0.0092 (0.0308) time: 3.0461 data: 0.0063 max mem: 31630 Epoch: [3] [1420/5278] eta: 3:48:18 lr: 4.630661479078012e-05 loss: 0.1683 (0.1816) loss_seg: 0.1637 (0.1799) loss_lansim: 0.1423 (0.1416) loss_contra: 0.0082 (0.0307) time: 3.0577 data: 0.0062 max mem: 31630 Epoch: [3] [1430/5278] eta: 3:47:29 lr: 4.630446504426576e-05 loss: 0.1698 (0.1816) loss_seg: 0.1678 (0.1799) loss_lansim: 0.1442 (0.1418) loss_contra: 0.0076 (0.0308) time: 3.0528 data: 0.0062 max mem: 31630 Epoch: [3] [1440/5278] eta: 3:46:40 lr: 4.63023152866619e-05 loss: 0.1683 (0.1817) loss_seg: 0.1637 (0.1800) loss_lansim: 0.1459 (0.1419) loss_contra: 0.0068 (0.0309) time: 3.0525 data: 0.0061 max mem: 31630 Epoch: [3] [1450/5278] eta: 3:45:52 lr: 4.630016551796794e-05 loss: 0.1683 (0.1815) loss_seg: 0.1666 (0.1798) loss_lansim: 0.1467 (0.1419) loss_contra: 0.0069 (0.0308) time: 3.0440 data: 0.0061 max mem: 31630 Epoch: [3] [1460/5278] eta: 3:45:04 lr: 4.629801573818323e-05 loss: 0.1614 (0.1815) loss_seg: 0.1593 (0.1798) loss_lansim: 0.1459 (0.1419) loss_contra: 0.0074 (0.0307) time: 3.0491 data: 0.0061 max mem: 31630 Epoch: [3] [1470/5278] eta: 3:44:17 lr: 4.629586594730715e-05 loss: 0.1680 (0.1815) loss_seg: 0.1663 (0.1798) loss_lansim: 0.1442 (0.1419) loss_contra: 0.0067 (0.0310) time: 3.0539 data: 0.0061 max mem: 31630 Epoch: [3] [1480/5278] eta: 3:43:30 lr: 4.629371614533906e-05 loss: 0.1685 (0.1817) loss_seg: 0.1667 (0.1800) loss_lansim: 0.1437 (0.1419) loss_contra: 0.0068 (0.0310) time: 3.0498 data: 0.0061 max mem: 31630 Epoch: [3] [1490/5278] eta: 3:42:43 lr: 4.629156633227835e-05 loss: 0.1711 (0.1819) loss_seg: 0.1697 (0.1802) loss_lansim: 0.1440 (0.1419) loss_contra: 0.0068 (0.0309) time: 3.0495 data: 0.0061 max mem: 31630 Epoch: [3] [1500/5278] eta: 3:41:56 lr: 4.628941650812437e-05 loss: 0.1711 (0.1818) loss_seg: 0.1697 (0.1800) loss_lansim: 0.1433 (0.1418) loss_contra: 0.0067 (0.0309) time: 3.0644 data: 0.0060 max mem: 31630 Epoch: [3] [1510/5278] eta: 3:41:09 lr: 4.6287266672876495e-05 loss: 0.1747 (0.1819) loss_seg: 0.1731 (0.1801) loss_lansim: 0.1440 (0.1418) loss_contra: 0.0068 (0.0307) time: 3.0614 data: 0.0060 max mem: 31630 Epoch: [3] [1520/5278] eta: 3:40:22 lr: 4.628511682653411e-05 loss: 0.1747 (0.1818) loss_seg: 0.1731 (0.1801) loss_lansim: 0.1440 (0.1419) loss_contra: 0.0073 (0.0307) time: 3.0581 data: 0.0061 max mem: 31630 Epoch: [3] [1530/5278] eta: 3:39:35 lr: 4.6282966969096566e-05 loss: 0.1741 (0.1818) loss_seg: 0.1731 (0.1801) loss_lansim: 0.1410 (0.1419) loss_contra: 0.0071 (0.0305) time: 3.0602 data: 0.0061 max mem: 31630 Epoch: [3] [1540/5278] eta: 3:38:48 lr: 4.628081710056325e-05 loss: 0.1711 (0.1818) loss_seg: 0.1697 (0.1800) loss_lansim: 0.1409 (0.1419) loss_contra: 0.0067 (0.0304) time: 3.0582 data: 0.0061 max mem: 31630 Epoch: [3] [1550/5278] eta: 3:38:02 lr: 4.627866722093351e-05 loss: 0.1765 (0.1818) loss_seg: 0.1752 (0.1801) loss_lansim: 0.1409 (0.1420) loss_contra: 0.0065 (0.0303) time: 3.0612 data: 0.0061 max mem: 31630 Epoch: [3] [1560/5278] eta: 3:37:17 lr: 4.6276517330206744e-05 loss: 0.1765 (0.1818) loss_seg: 0.1750 (0.1801) loss_lansim: 0.1409 (0.1420) loss_contra: 0.0060 (0.0301) time: 3.0631 data: 0.0061 max mem: 31630 Epoch: [3] [1570/5278] eta: 3:36:31 lr: 4.62743674283823e-05 loss: 0.1684 (0.1817) loss_seg: 0.1669 (0.1800) loss_lansim: 0.1415 (0.1420) loss_contra: 0.0058 (0.0301) time: 3.0566 data: 0.0061 max mem: 31630 Epoch: [3] [1580/5278] eta: 3:35:47 lr: 4.627221751545955e-05 loss: 0.1684 (0.1817) loss_seg: 0.1669 (0.1800) loss_lansim: 0.1409 (0.1420) loss_contra: 0.0054 (0.0299) time: 3.0610 data: 0.0061 max mem: 31630 Epoch: [3] [1590/5278] eta: 3:35:02 lr: 4.627006759143787e-05 loss: 0.1684 (0.1816) loss_seg: 0.1669 (0.1798) loss_lansim: 0.1404 (0.1420) loss_contra: 0.0044 (0.0298) time: 3.0621 data: 0.0062 max mem: 31630 Epoch: [3] [1600/5278] eta: 3:34:16 lr: 4.626791765631664e-05 loss: 0.1689 (0.1814) loss_seg: 0.1676 (0.1797) loss_lansim: 0.1410 (0.1420) loss_contra: 0.0046 (0.0297) time: 3.0596 data: 0.0062 max mem: 31630 Epoch: [3] [1610/5278] eta: 3:33:31 lr: 4.626576771009521e-05 loss: 0.1681 (0.1814) loss_seg: 0.1669 (0.1797) loss_lansim: 0.1431 (0.1420) loss_contra: 0.0046 (0.0296) time: 3.0596 data: 0.0062 max mem: 31630 Epoch: [3] [1620/5278] eta: 3:32:48 lr: 4.626361775277296e-05 loss: 0.1679 (0.1814) loss_seg: 0.1658 (0.1797) loss_lansim: 0.1408 (0.1420) loss_contra: 0.0038 (0.0295) time: 3.0689 data: 0.0062 max mem: 31630 Epoch: [3] [1630/5278] eta: 3:32:03 lr: 4.626146778434925e-05 loss: 0.1679 (0.1814) loss_seg: 0.1658 (0.1797) loss_lansim: 0.1410 (0.1419) loss_contra: 0.0043 (0.0293) time: 3.0661 data: 0.0062 max mem: 31630 Epoch: [3] [1640/5278] eta: 3:31:19 lr: 4.6259317804823465e-05 loss: 0.1689 (0.1814) loss_seg: 0.1675 (0.1797) loss_lansim: 0.1410 (0.1420) loss_contra: 0.0043 (0.0292) time: 3.0699 data: 0.0061 max mem: 31630 Epoch: [3] [1650/5278] eta: 3:30:35 lr: 4.625716781419496e-05 loss: 0.1684 (0.1814) loss_seg: 0.1669 (0.1797) loss_lansim: 0.1423 (0.1420) loss_contra: 0.0048 (0.0292) time: 3.0704 data: 0.0062 max mem: 31630 Epoch: [3] [1660/5278] eta: 3:29:52 lr: 4.625501781246312e-05 loss: 0.1684 (0.1813) loss_seg: 0.1669 (0.1796) loss_lansim: 0.1450 (0.1421) loss_contra: 0.0049 (0.0292) time: 3.0735 data: 0.0061 max mem: 31630 Epoch: [3] [1670/5278] eta: 3:29:06 lr: 4.6252867799627293e-05 loss: 0.1684 (0.1812) loss_seg: 0.1669 (0.1794) loss_lansim: 0.1442 (0.1422) loss_contra: 0.0050 (0.0291) time: 3.0672 data: 0.0061 max mem: 31630 Epoch: [3] [1680/5278] eta: 3:28:23 lr: 4.625071777568686e-05 loss: 0.1669 (0.1812) loss_seg: 0.1653 (0.1795) loss_lansim: 0.1455 (0.1422) loss_contra: 0.0049 (0.0289) time: 3.0653 data: 0.0061 max mem: 31630 Epoch: [3] [1690/5278] eta: 3:27:40 lr: 4.62485677406412e-05 loss: 0.1665 (0.1811) loss_seg: 0.1649 (0.1794) loss_lansim: 0.1479 (0.1424) loss_contra: 0.0050 (0.0288) time: 3.0636 data: 0.0061 max mem: 31630 Epoch: [3] [1700/5278] eta: 3:26:57 lr: 4.6246417694489664e-05 loss: 0.1665 (0.1812) loss_seg: 0.1648 (0.1794) loss_lansim: 0.1479 (0.1424) loss_contra: 0.0046 (0.0287) time: 3.0701 data: 0.0060 max mem: 31630 Epoch: [3] [1710/5278] eta: 3:26:13 lr: 4.6244267637231624e-05 loss: 0.1665 (0.1812) loss_seg: 0.1649 (0.1794) loss_lansim: 0.1531 (0.1427) loss_contra: 0.0041 (0.0286) time: 3.0670 data: 0.0061 max mem: 31630 Epoch: [3] [1720/5278] eta: 3:25:30 lr: 4.624211756886647e-05 loss: 0.1672 (0.1811) loss_seg: 0.1658 (0.1794) loss_lansim: 0.1557 (0.1428) loss_contra: 0.0049 (0.0286) time: 3.0592 data: 0.0061 max mem: 31630 Epoch: [3] [1730/5278] eta: 3:24:46 lr: 4.623996748939354e-05 loss: 0.1717 (0.1812) loss_seg: 0.1701 (0.1795) loss_lansim: 0.1574 (0.1429) loss_contra: 0.0044 (0.0284) time: 3.0592 data: 0.0061 max mem: 31630 Epoch: [3] [1740/5278] eta: 3:24:03 lr: 4.6237817398812215e-05 loss: 0.1672 (0.1813) loss_seg: 0.1658 (0.1796) loss_lansim: 0.1586 (0.1430) loss_contra: 0.0044 (0.0286) time: 3.0567 data: 0.0060 max mem: 31630 Epoch: [3] [1750/5278] eta: 3:23:20 lr: 4.623566729712187e-05 loss: 0.1665 (0.1812) loss_seg: 0.1648 (0.1795) loss_lansim: 0.1592 (0.1431) loss_contra: 0.0044 (0.0287) time: 3.0525 data: 0.0060 max mem: 31630 Epoch: [3] [1760/5278] eta: 3:22:37 lr: 4.6233517184321874e-05 loss: 0.1717 (0.1813) loss_seg: 0.1701 (0.1796) loss_lansim: 0.1584 (0.1431) loss_contra: 0.0062 (0.0290) time: 3.0432 data: 0.0060 max mem: 31630 Epoch: [3] [1770/5278] eta: 3:21:54 lr: 4.6231367060411585e-05 loss: 0.1741 (0.1814) loss_seg: 0.1727 (0.1797) loss_lansim: 0.1584 (0.1431) loss_contra: 0.0062 (0.0289) time: 3.0531 data: 0.0060 max mem: 31630 Epoch: [3] [1780/5278] eta: 3:21:12 lr: 4.622921692539038e-05 loss: 0.1741 (0.1813) loss_seg: 0.1727 (0.1796) loss_lansim: 0.1586 (0.1432) loss_contra: 0.0073 (0.0290) time: 3.0469 data: 0.0060 max mem: 31630 Epoch: [3] [1790/5278] eta: 3:20:30 lr: 4.6227066779257616e-05 loss: 0.1767 (0.1813) loss_seg: 0.1751 (0.1795) loss_lansim: 0.1586 (0.1433) loss_contra: 0.0073 (0.0290) time: 3.0504 data: 0.0059 max mem: 31630 Epoch: [3] [1800/5278] eta: 3:19:48 lr: 4.622491662201268e-05 loss: 0.1777 (0.1814) loss_seg: 0.1762 (0.1797) loss_lansim: 0.1580 (0.1433) loss_contra: 0.0091 (0.0289) time: 3.0454 data: 0.0060 max mem: 31630 Epoch: [3] [1810/5278] eta: 3:19:06 lr: 4.622276645365492e-05 loss: 0.1771 (0.1816) loss_seg: 0.1756 (0.1798) loss_lansim: 0.1533 (0.1433) loss_contra: 0.0095 (0.0288) time: 3.0459 data: 0.0059 max mem: 31630 Epoch: [3] [1820/5278] eta: 3:18:24 lr: 4.6220616274183724e-05 loss: 0.1767 (0.1816) loss_seg: 0.1751 (0.1798) loss_lansim: 0.1515 (0.1433) loss_contra: 0.0075 (0.0287) time: 3.0450 data: 0.0060 max mem: 31630 Epoch: [3] [1830/5278] eta: 3:17:42 lr: 4.621846608359845e-05 loss: 0.1741 (0.1815) loss_seg: 0.1727 (0.1798) loss_lansim: 0.1515 (0.1434) loss_contra: 0.0086 (0.0287) time: 3.0476 data: 0.0059 max mem: 31630 Epoch: [3] [1840/5278] eta: 3:17:00 lr: 4.6216315881898464e-05 loss: 0.1737 (0.1815) loss_seg: 0.1722 (0.1797) loss_lansim: 0.1499 (0.1433) loss_contra: 0.0086 (0.0287) time: 3.0488 data: 0.0060 max mem: 31630 Epoch: [3] [1850/5278] eta: 3:16:19 lr: 4.6214165669083136e-05 loss: 0.1771 (0.1817) loss_seg: 0.1756 (0.1800) loss_lansim: 0.1470 (0.1433) loss_contra: 0.0076 (0.0286) time: 3.0532 data: 0.0060 max mem: 31630 Epoch: [3] [1860/5278] eta: 3:15:37 lr: 4.6212015445151835e-05 loss: 0.1754 (0.1816) loss_seg: 0.1740 (0.1798) loss_lansim: 0.1460 (0.1433) loss_contra: 0.0069 (0.0288) time: 3.0539 data: 0.0060 max mem: 31630 Epoch: [3] [1870/5278] eta: 3:14:56 lr: 4.6209865210103924e-05 loss: 0.1737 (0.1816) loss_seg: 0.1722 (0.1799) loss_lansim: 0.1452 (0.1433) loss_contra: 0.0065 (0.0287) time: 3.0553 data: 0.0060 max mem: 31630 Epoch: [3] [1880/5278] eta: 3:14:16 lr: 4.620771496393878e-05 loss: 0.1783 (0.1818) loss_seg: 0.1768 (0.1801) loss_lansim: 0.1432 (0.1433) loss_contra: 0.0055 (0.0287) time: 3.0614 data: 0.0061 max mem: 31630 Epoch: [3] [1890/5278] eta: 3:13:34 lr: 4.620556470665577e-05 loss: 0.1789 (0.1818) loss_seg: 0.1778 (0.1801) loss_lansim: 0.1402 (0.1432) loss_contra: 0.0069 (0.0290) time: 3.0480 data: 0.0060 max mem: 31630 Epoch: [3] [1900/5278] eta: 3:12:53 lr: 4.620341443825425e-05 loss: 0.1783 (0.1819) loss_seg: 0.1768 (0.1801) loss_lansim: 0.1416 (0.1432) loss_contra: 0.0069 (0.0289) time: 3.0502 data: 0.0060 max mem: 31630 Epoch: [3] [1910/5278] eta: 3:12:13 lr: 4.620126415873359e-05 loss: 0.1819 (0.1819) loss_seg: 0.1805 (0.1802) loss_lansim: 0.1400 (0.1432) loss_contra: 0.0069 (0.0288) time: 3.0556 data: 0.0060 max mem: 31630 Epoch: [3] [1920/5278] eta: 3:11:33 lr: 4.6199113868093166e-05 loss: 0.1833 (0.1820) loss_seg: 0.1811 (0.1803) loss_lansim: 0.1394 (0.1432) loss_contra: 0.0069 (0.0287) time: 3.0606 data: 0.0060 max mem: 31630 Epoch: [3] [1930/5278] eta: 3:10:52 lr: 4.619696356633235e-05 loss: 0.1833 (0.1820) loss_seg: 0.1811 (0.1802) loss_lansim: 0.1380 (0.1431) loss_contra: 0.0066 (0.0287) time: 3.0580 data: 0.0060 max mem: 31630 Epoch: [3] [1940/5278] eta: 3:10:11 lr: 4.6194813253450495e-05 loss: 0.1833 (0.1819) loss_seg: 0.1811 (0.1802) loss_lansim: 0.1380 (0.1431) loss_contra: 0.0069 (0.0286) time: 3.0570 data: 0.0060 max mem: 31630 Epoch: [3] [1950/5278] eta: 3:09:31 lr: 4.6192662929446975e-05 loss: 0.1678 (0.1818) loss_seg: 0.1664 (0.1801) loss_lansim: 0.1380 (0.1431) loss_contra: 0.0058 (0.0285) time: 3.0560 data: 0.0060 max mem: 31630 Epoch: [3] [1960/5278] eta: 3:08:51 lr: 4.619051259432116e-05 loss: 0.1677 (0.1816) loss_seg: 0.1660 (0.1799) loss_lansim: 0.1355 (0.1431) loss_contra: 0.0058 (0.0284) time: 3.0601 data: 0.0060 max mem: 31630 Epoch: [3] [1970/5278] eta: 3:08:10 lr: 4.618836224807241e-05 loss: 0.1674 (0.1817) loss_seg: 0.1654 (0.1800) loss_lansim: 0.1328 (0.1430) loss_contra: 0.0058 (0.0285) time: 3.0584 data: 0.0060 max mem: 31630 Epoch: [3] [1980/5278] eta: 3:07:30 lr: 4.6186211890700096e-05 loss: 0.1665 (0.1818) loss_seg: 0.1649 (0.1801) loss_lansim: 0.1328 (0.1430) loss_contra: 0.0058 (0.0285) time: 3.0516 data: 0.0060 max mem: 31630 Epoch: [3] [1990/5278] eta: 3:06:50 lr: 4.618406152220358e-05 loss: 0.1678 (0.1819) loss_seg: 0.1664 (0.1802) loss_lansim: 0.1355 (0.1429) loss_contra: 0.0058 (0.0285) time: 3.0623 data: 0.0060 max mem: 31630 Epoch: [3] [2000/5278] eta: 3:06:11 lr: 4.618191114258224e-05 loss: 0.1756 (0.1819) loss_seg: 0.1742 (0.1802) loss_lansim: 0.1318 (0.1428) loss_contra: 0.0053 (0.0284) time: 3.0634 data: 0.0060 max mem: 31630 Epoch: [3] [2010/5278] eta: 3:05:31 lr: 4.6179760751835435e-05 loss: 0.1678 (0.1820) loss_seg: 0.1664 (0.1803) loss_lansim: 0.1318 (0.1428) loss_contra: 0.0056 (0.0283) time: 3.0614 data: 0.0061 max mem: 31630 Epoch: [3] [2020/5278] eta: 3:04:50 lr: 4.617761034996253e-05 loss: 0.1666 (0.1819) loss_seg: 0.1652 (0.1802) loss_lansim: 0.1315 (0.1427) loss_contra: 0.0056 (0.0283) time: 3.0511 data: 0.0061 max mem: 31630 Epoch: [3] [2030/5278] eta: 3:04:10 lr: 4.61754599369629e-05 loss: 0.1756 (0.1821) loss_seg: 0.1742 (0.1804) loss_lansim: 0.1328 (0.1428) loss_contra: 0.0042 (0.0283) time: 3.0457 data: 0.0061 max mem: 31630 Epoch: [3] [2040/5278] eta: 3:03:30 lr: 4.617330951283591e-05 loss: 0.1784 (0.1822) loss_seg: 0.1767 (0.1805) loss_lansim: 0.1327 (0.1427) loss_contra: 0.0039 (0.0282) time: 3.0466 data: 0.0061 max mem: 31630 Epoch: [3] [2050/5278] eta: 3:02:51 lr: 4.617115907758092e-05 loss: 0.1798 (0.1824) loss_seg: 0.1784 (0.1807) loss_lansim: 0.1320 (0.1427) loss_contra: 0.0053 (0.0281) time: 3.0463 data: 0.0061 max mem: 31630 Epoch: [3] [2060/5278] eta: 3:02:11 lr: 4.616900863119729e-05 loss: 0.1818 (0.1823) loss_seg: 0.1805 (0.1806) loss_lansim: 0.1322 (0.1427) loss_contra: 0.0056 (0.0282) time: 3.0427 data: 0.0061 max mem: 31630 Epoch: [3] [2070/5278] eta: 3:01:32 lr: 4.616685817368441e-05 loss: 0.1818 (0.1824) loss_seg: 0.1805 (0.1807) loss_lansim: 0.1329 (0.1427) loss_contra: 0.0048 (0.0281) time: 3.0434 data: 0.0061 max mem: 31630 Epoch: [3] [2080/5278] eta: 3:00:53 lr: 4.6164707705041624e-05 loss: 0.1798 (0.1825) loss_seg: 0.1784 (0.1808) loss_lansim: 0.1348 (0.1428) loss_contra: 0.0048 (0.0281) time: 3.0487 data: 0.0061 max mem: 31630 Epoch: [3] [2090/5278] eta: 3:00:13 lr: 4.616255722526831e-05 loss: 0.1776 (0.1824) loss_seg: 0.1763 (0.1807) loss_lansim: 0.1369 (0.1428) loss_contra: 0.0048 (0.0280) time: 3.0403 data: 0.0061 max mem: 31630 Epoch: [3] [2100/5278] eta: 2:59:33 lr: 4.616040673436384e-05 loss: 0.1729 (0.1824) loss_seg: 0.1714 (0.1807) loss_lansim: 0.1395 (0.1428) loss_contra: 0.0038 (0.0280) time: 3.0335 data: 0.0061 max mem: 31630 Epoch: [3] [2110/5278] eta: 2:58:55 lr: 4.6158256232327566e-05 loss: 0.1715 (0.1823) loss_seg: 0.1688 (0.1805) loss_lansim: 0.1393 (0.1428) loss_contra: 0.0036 (0.0279) time: 3.0362 data: 0.0061 max mem: 31630 Epoch: [3] [2120/5278] eta: 2:58:16 lr: 4.6156105719158854e-05 loss: 0.1729 (0.1822) loss_seg: 0.1714 (0.1805) loss_lansim: 0.1406 (0.1427) loss_contra: 0.0038 (0.0278) time: 3.0386 data: 0.0061 max mem: 31630 Epoch: [3] [2130/5278] eta: 2:57:36 lr: 4.615395519485707e-05 loss: 0.1729 (0.1823) loss_seg: 0.1714 (0.1806) loss_lansim: 0.1364 (0.1426) loss_contra: 0.0041 (0.0278) time: 3.0444 data: 0.0061 max mem: 31630 Epoch: [3] [2140/5278] eta: 2:56:58 lr: 4.6151804659421606e-05 loss: 0.1730 (0.1823) loss_seg: 0.1715 (0.1806) loss_lansim: 0.1366 (0.1426) loss_contra: 0.0039 (0.0278) time: 3.0477 data: 0.0061 max mem: 31630 Epoch: [3] [2150/5278] eta: 2:56:19 lr: 4.6149654112851796e-05 loss: 0.1715 (0.1824) loss_seg: 0.1688 (0.1807) loss_lansim: 0.1369 (0.1425) loss_contra: 0.0039 (0.0277) time: 3.0440 data: 0.0061 max mem: 31630 Epoch: [3] [2160/5278] eta: 2:55:40 lr: 4.614750355514701e-05 loss: 0.1729 (0.1824) loss_seg: 0.1714 (0.1807) loss_lansim: 0.1362 (0.1425) loss_contra: 0.0038 (0.0276) time: 3.0421 data: 0.0061 max mem: 31630 Epoch: [3] [2170/5278] eta: 2:55:02 lr: 4.6145352986306633e-05 loss: 0.1729 (0.1824) loss_seg: 0.1714 (0.1807) loss_lansim: 0.1362 (0.1425) loss_contra: 0.0041 (0.0276) time: 3.0444 data: 0.0061 max mem: 31630 Epoch: [3] [2180/5278] eta: 2:54:23 lr: 4.614320240633002e-05 loss: 0.1702 (0.1824) loss_seg: 0.1686 (0.1807) loss_lansim: 0.1339 (0.1424) loss_contra: 0.0041 (0.0277) time: 3.0358 data: 0.0061 max mem: 31630 Epoch: [3] [2190/5278] eta: 2:53:45 lr: 4.614105181521654e-05 loss: 0.1703 (0.1825) loss_seg: 0.1688 (0.1808) loss_lansim: 0.1337 (0.1424) loss_contra: 0.0039 (0.0277) time: 3.0421 data: 0.0061 max mem: 31630 Epoch: [3] [2200/5278] eta: 2:53:06 lr: 4.613890121296554e-05 loss: 0.1749 (0.1825) loss_seg: 0.1731 (0.1808) loss_lansim: 0.1326 (0.1424) loss_contra: 0.0051 (0.0277) time: 3.0449 data: 0.0061 max mem: 31630 Epoch: [3] [2210/5278] eta: 2:52:28 lr: 4.6136750599576404e-05 loss: 0.1751 (0.1826) loss_seg: 0.1733 (0.1809) loss_lansim: 0.1354 (0.1424) loss_contra: 0.0051 (0.0277) time: 3.0384 data: 0.0061 max mem: 31630 Epoch: [3] [2220/5278] eta: 2:51:49 lr: 4.61345999750485e-05 loss: 0.1793 (0.1826) loss_seg: 0.1780 (0.1809) loss_lansim: 0.1370 (0.1424) loss_contra: 0.0047 (0.0277) time: 3.0398 data: 0.0061 max mem: 31630 Epoch: [3] [2230/5278] eta: 2:51:11 lr: 4.613244933938118e-05 loss: 0.1820 (0.1827) loss_seg: 0.1802 (0.1810) loss_lansim: 0.1395 (0.1425) loss_contra: 0.0049 (0.0277) time: 3.0452 data: 0.0061 max mem: 31630 Epoch: [3] [2240/5278] eta: 2:50:34 lr: 4.6130298692573815e-05 loss: 0.1793 (0.1828) loss_seg: 0.1780 (0.1811) loss_lansim: 0.1393 (0.1424) loss_contra: 0.0055 (0.0279) time: 3.0448 data: 0.0062 max mem: 31630 Epoch: [3] [2250/5278] eta: 2:49:56 lr: 4.6128148034625766e-05 loss: 0.1854 (0.1829) loss_seg: 0.1839 (0.1812) loss_lansim: 0.1395 (0.1424) loss_contra: 0.0054 (0.0278) time: 3.0476 data: 0.0062 max mem: 31630 Epoch: [3] [2260/5278] eta: 2:49:18 lr: 4.6125997365536415e-05 loss: 0.1861 (0.1828) loss_seg: 0.1841 (0.1811) loss_lansim: 0.1397 (0.1424) loss_contra: 0.0058 (0.0278) time: 3.0487 data: 0.0062 max mem: 31630 Epoch: [3] [2270/5278] eta: 2:48:40 lr: 4.612384668530511e-05 loss: 0.1870 (0.1829) loss_seg: 0.1850 (0.1812) loss_lansim: 0.1397 (0.1424) loss_contra: 0.0058 (0.0278) time: 3.0497 data: 0.0061 max mem: 31630 Epoch: [3] [2280/5278] eta: 2:48:02 lr: 4.6121695993931224e-05 loss: 0.1912 (0.1831) loss_seg: 0.1895 (0.1814) loss_lansim: 0.1398 (0.1424) loss_contra: 0.0063 (0.0278) time: 3.0516 data: 0.0061 max mem: 31630 Epoch: [3] [2290/5278] eta: 2:47:25 lr: 4.611954529141411e-05 loss: 0.1920 (0.1833) loss_seg: 0.1901 (0.1816) loss_lansim: 0.1396 (0.1424) loss_contra: 0.0073 (0.0280) time: 3.0565 data: 0.0061 max mem: 31630 Epoch: [3] [2300/5278] eta: 2:46:48 lr: 4.6117394577753154e-05 loss: 0.1897 (0.1832) loss_seg: 0.1879 (0.1815) loss_lansim: 0.1397 (0.1424) loss_contra: 0.0064 (0.0282) time: 3.0590 data: 0.0061 max mem: 31630 Epoch: [3] [2310/5278] eta: 2:46:10 lr: 4.61152438529477e-05 loss: 0.1897 (0.1832) loss_seg: 0.1879 (0.1815) loss_lansim: 0.1396 (0.1424) loss_contra: 0.0065 (0.0282) time: 3.0599 data: 0.0062 max mem: 31630 Epoch: [3] [2320/5278] eta: 2:45:32 lr: 4.611309311699713e-05 loss: 0.1870 (0.1832) loss_seg: 0.1849 (0.1815) loss_lansim: 0.1388 (0.1424) loss_contra: 0.0085 (0.0283) time: 3.0586 data: 0.0062 max mem: 31630 Epoch: [3] [2330/5278] eta: 2:44:56 lr: 4.611094236990079e-05 loss: 0.1832 (0.1832) loss_seg: 0.1812 (0.1815) loss_lansim: 0.1383 (0.1423) loss_contra: 0.0105 (0.0282) time: 3.0623 data: 0.0061 max mem: 31630 Epoch: [3] [2340/5278] eta: 2:44:18 lr: 4.6108791611658067e-05 loss: 0.1858 (0.1833) loss_seg: 0.1833 (0.1816) loss_lansim: 0.1383 (0.1424) loss_contra: 0.0085 (0.0282) time: 3.0597 data: 0.0061 max mem: 31630 Epoch: [3] [2350/5278] eta: 2:43:41 lr: 4.6106640842268305e-05 loss: 0.1832 (0.1834) loss_seg: 0.1812 (0.1817) loss_lansim: 0.1383 (0.1424) loss_contra: 0.0107 (0.0282) time: 3.0630 data: 0.0060 max mem: 31630 Epoch: [3] [2360/5278] eta: 2:43:05 lr: 4.610449006173088e-05 loss: 0.1832 (0.1836) loss_seg: 0.1812 (0.1819) loss_lansim: 0.1383 (0.1424) loss_contra: 0.0105 (0.0282) time: 3.0701 data: 0.0060 max mem: 31630 Epoch: [3] [2370/5278] eta: 2:42:28 lr: 4.610233927004515e-05 loss: 0.1832 (0.1837) loss_seg: 0.1817 (0.1820) loss_lansim: 0.1383 (0.1423) loss_contra: 0.0108 (0.0282) time: 3.0675 data: 0.0061 max mem: 31630 Epoch: [3] [2380/5278] eta: 2:41:50 lr: 4.610018846721048e-05 loss: 0.1767 (0.1835) loss_seg: 0.1748 (0.1818) loss_lansim: 0.1368 (0.1423) loss_contra: 0.0108 (0.0282) time: 3.0703 data: 0.0060 max mem: 31630 Epoch: [3] [2390/5278] eta: 2:41:14 lr: 4.609803765322625e-05 loss: 0.1765 (0.1836) loss_seg: 0.1748 (0.1819) loss_lansim: 0.1356 (0.1422) loss_contra: 0.0105 (0.0282) time: 3.0675 data: 0.0060 max mem: 31630 Epoch: [3] [2400/5278] eta: 2:40:36 lr: 4.60958868280918e-05 loss: 0.1813 (0.1836) loss_seg: 0.1798 (0.1819) loss_lansim: 0.1382 (0.1422) loss_contra: 0.0085 (0.0281) time: 3.0655 data: 0.0060 max mem: 31630 Epoch: [3] [2410/5278] eta: 2:40:00 lr: 4.609373599180651e-05 loss: 0.1764 (0.1835) loss_seg: 0.1747 (0.1818) loss_lansim: 0.1363 (0.1423) loss_contra: 0.0072 (0.0280) time: 3.0724 data: 0.0059 max mem: 31630 Epoch: [3] [2420/5278] eta: 2:39:23 lr: 4.609158514436973e-05 loss: 0.1773 (0.1835) loss_seg: 0.1761 (0.1818) loss_lansim: 0.1368 (0.1423) loss_contra: 0.0078 (0.0279) time: 3.0782 data: 0.0059 max mem: 31630 Epoch: [3] [2430/5278] eta: 2:38:47 lr: 4.6089434285780845e-05 loss: 0.1820 (0.1835) loss_seg: 0.1801 (0.1818) loss_lansim: 0.1368 (0.1422) loss_contra: 0.0078 (0.0281) time: 3.0733 data: 0.0059 max mem: 31630 Epoch: [3] [2440/5278] eta: 2:38:10 lr: 4.60872834160392e-05 loss: 0.1773 (0.1834) loss_seg: 0.1758 (0.1817) loss_lansim: 0.1368 (0.1422) loss_contra: 0.0070 (0.0281) time: 3.0730 data: 0.0059 max mem: 31630 Epoch: [3] [2450/5278] eta: 2:37:33 lr: 4.6085132535144165e-05 loss: 0.1772 (0.1834) loss_seg: 0.1747 (0.1817) loss_lansim: 0.1363 (0.1422) loss_contra: 0.0070 (0.0280) time: 3.0727 data: 0.0059 max mem: 31630 Epoch: [3] [2460/5278] eta: 2:36:56 lr: 4.608298164309511e-05 loss: 0.1762 (0.1834) loss_seg: 0.1741 (0.1817) loss_lansim: 0.1358 (0.1422) loss_contra: 0.0046 (0.0280) time: 3.0633 data: 0.0059 max mem: 31630 Epoch: [3] [2470/5278] eta: 2:36:20 lr: 4.6080830739891394e-05 loss: 0.1750 (0.1833) loss_seg: 0.1728 (0.1816) loss_lansim: 0.1353 (0.1422) loss_contra: 0.0041 (0.0279) time: 3.0637 data: 0.0059 max mem: 31630 Epoch: [3] [2480/5278] eta: 2:35:44 lr: 4.607867982553237e-05 loss: 0.1762 (0.1833) loss_seg: 0.1741 (0.1816) loss_lansim: 0.1359 (0.1422) loss_contra: 0.0032 (0.0278) time: 3.0721 data: 0.0059 max mem: 31630 Epoch: [3] [2490/5278] eta: 2:35:07 lr: 4.607652890001742e-05 loss: 0.1740 (0.1832) loss_seg: 0.1716 (0.1815) loss_lansim: 0.1382 (0.1422) loss_contra: 0.0027 (0.0278) time: 3.0654 data: 0.0060 max mem: 31630 Epoch: [3] [2500/5278] eta: 2:34:30 lr: 4.6074377963345896e-05 loss: 0.1750 (0.1832) loss_seg: 0.1728 (0.1815) loss_lansim: 0.1379 (0.1422) loss_contra: 0.0034 (0.0277) time: 3.0687 data: 0.0060 max mem: 31630 Epoch: [3] [2510/5278] eta: 2:33:54 lr: 4.6072227015517166e-05 loss: 0.1750 (0.1832) loss_seg: 0.1728 (0.1815) loss_lansim: 0.1380 (0.1422) loss_contra: 0.0046 (0.0278) time: 3.0615 data: 0.0061 max mem: 31630 Epoch: [3] [2520/5278] eta: 2:33:18 lr: 4.60700760565306e-05 loss: 0.1718 (0.1833) loss_seg: 0.1705 (0.1816) loss_lansim: 0.1382 (0.1422) loss_contra: 0.0050 (0.0278) time: 3.0654 data: 0.0061 max mem: 31630 Epoch: [3] [2530/5278] eta: 2:32:41 lr: 4.6067925086385544e-05 loss: 0.1685 (0.1832) loss_seg: 0.1668 (0.1815) loss_lansim: 0.1393 (0.1422) loss_contra: 0.0055 (0.0278) time: 3.0616 data: 0.0062 max mem: 31630 Epoch: [3] [2540/5278] eta: 2:32:06 lr: 4.606577410508137e-05 loss: 0.1740 (0.1834) loss_seg: 0.1728 (0.1817) loss_lansim: 0.1415 (0.1422) loss_contra: 0.0055 (0.0278) time: 3.0679 data: 0.0062 max mem: 31630 Epoch: [3] [2550/5278] eta: 2:31:29 lr: 4.606362311261744e-05 loss: 0.1757 (0.1835) loss_seg: 0.1740 (0.1818) loss_lansim: 0.1423 (0.1423) loss_contra: 0.0053 (0.0277) time: 3.0632 data: 0.0063 max mem: 31630 Epoch: [3] [2560/5278] eta: 2:30:53 lr: 4.6061472108993126e-05 loss: 0.1718 (0.1834) loss_seg: 0.1705 (0.1817) loss_lansim: 0.1423 (0.1423) loss_contra: 0.0053 (0.0277) time: 3.0714 data: 0.0064 max mem: 31630 Epoch: [3] [2570/5278] eta: 2:30:17 lr: 4.6059321094207776e-05 loss: 0.1770 (0.1836) loss_seg: 0.1756 (0.1819) loss_lansim: 0.1428 (0.1423) loss_contra: 0.0075 (0.0278) time: 3.0701 data: 0.0065 max mem: 31630 Epoch: [3] [2580/5278] eta: 2:29:41 lr: 4.605717006826076e-05 loss: 0.1793 (0.1837) loss_seg: 0.1778 (0.1820) loss_lansim: 0.1442 (0.1424) loss_contra: 0.0087 (0.0277) time: 3.0634 data: 0.0065 max mem: 31630 Epoch: [3] [2590/5278] eta: 2:29:05 lr: 4.605501903115145e-05 loss: 0.1810 (0.1837) loss_seg: 0.1794 (0.1820) loss_lansim: 0.1442 (0.1424) loss_contra: 0.0088 (0.0277) time: 3.0644 data: 0.0065 max mem: 31630 Epoch: [3] [2600/5278] eta: 2:28:29 lr: 4.6052867982879194e-05 loss: 0.1794 (0.1836) loss_seg: 0.1778 (0.1819) loss_lansim: 0.1463 (0.1424) loss_contra: 0.0100 (0.0277) time: 3.0686 data: 0.0065 max mem: 31630 Epoch: [3] [2610/5278] eta: 2:27:53 lr: 4.605071692344336e-05 loss: 0.1794 (0.1837) loss_seg: 0.1778 (0.1820) loss_lansim: 0.1472 (0.1424) loss_contra: 0.0100 (0.0277) time: 3.0739 data: 0.0065 max mem: 31630 Epoch: [3] [2620/5278] eta: 2:27:17 lr: 4.604856585284331e-05 loss: 0.1802 (0.1837) loss_seg: 0.1785 (0.1820) loss_lansim: 0.1463 (0.1424) loss_contra: 0.0096 (0.0277) time: 3.0646 data: 0.0065 max mem: 31630 Epoch: [3] [2630/5278] eta: 2:26:41 lr: 4.604641477107842e-05 loss: 0.1818 (0.1837) loss_seg: 0.1804 (0.1820) loss_lansim: 0.1448 (0.1424) loss_contra: 0.0067 (0.0278) time: 3.0650 data: 0.0064 max mem: 31630 Epoch: [3] [2640/5278] eta: 2:26:05 lr: 4.604426367814803e-05 loss: 0.1794 (0.1837) loss_seg: 0.1778 (0.1820) loss_lansim: 0.1449 (0.1424) loss_contra: 0.0079 (0.0278) time: 3.0580 data: 0.0064 max mem: 31630 Epoch: [3] [2650/5278] eta: 2:25:29 lr: 4.604211257405152e-05 loss: 0.1794 (0.1836) loss_seg: 0.1778 (0.1819) loss_lansim: 0.1448 (0.1424) loss_contra: 0.0063 (0.0277) time: 3.0565 data: 0.0064 max mem: 31630 Epoch: [3] [2660/5278] eta: 2:24:53 lr: 4.603996145878823e-05 loss: 0.1794 (0.1835) loss_seg: 0.1775 (0.1818) loss_lansim: 0.1446 (0.1424) loss_contra: 0.0063 (0.0277) time: 3.0523 data: 0.0062 max mem: 31630 Epoch: [3] [2670/5278] eta: 2:24:17 lr: 4.603781033235755e-05 loss: 0.1765 (0.1835) loss_seg: 0.1749 (0.1818) loss_lansim: 0.1448 (0.1424) loss_contra: 0.0053 (0.0276) time: 3.0522 data: 0.0061 max mem: 31630 Epoch: [3] [2680/5278] eta: 2:23:42 lr: 4.603565919475883e-05 loss: 0.1749 (0.1836) loss_seg: 0.1732 (0.1819) loss_lansim: 0.1429 (0.1424) loss_contra: 0.0052 (0.0277) time: 3.0550 data: 0.0061 max mem: 31630 Epoch: [3] [2690/5278] eta: 2:23:06 lr: 4.603350804599144e-05 loss: 0.1740 (0.1837) loss_seg: 0.1715 (0.1820) loss_lansim: 0.1410 (0.1424) loss_contra: 0.0053 (0.0278) time: 3.0576 data: 0.0061 max mem: 31630 Epoch: [3] [2700/5278] eta: 2:22:30 lr: 4.603135688605472e-05 loss: 0.1794 (0.1838) loss_seg: 0.1776 (0.1821) loss_lansim: 0.1395 (0.1424) loss_contra: 0.0053 (0.0278) time: 3.0488 data: 0.0061 max mem: 31630 Epoch: [3] [2710/5278] eta: 2:21:54 lr: 4.602920571494805e-05 loss: 0.1761 (0.1838) loss_seg: 0.1744 (0.1821) loss_lansim: 0.1387 (0.1423) loss_contra: 0.0054 (0.0277) time: 3.0449 data: 0.0060 max mem: 31630 Epoch: [3] [2720/5278] eta: 2:21:19 lr: 4.60270545326708e-05 loss: 0.1736 (0.1838) loss_seg: 0.1721 (0.1821) loss_lansim: 0.1379 (0.1423) loss_contra: 0.0055 (0.0277) time: 3.0511 data: 0.0060 max mem: 31630 Epoch: [3] [2730/5278] eta: 2:20:42 lr: 4.6024903339222305e-05 loss: 0.1736 (0.1838) loss_seg: 0.1721 (0.1821) loss_lansim: 0.1379 (0.1423) loss_contra: 0.0058 (0.0277) time: 3.0418 data: 0.0060 max mem: 31630 Epoch: [3] [2740/5278] eta: 2:20:06 lr: 4.602275213460194e-05 loss: 0.1730 (0.1837) loss_seg: 0.1715 (0.1820) loss_lansim: 0.1379 (0.1423) loss_contra: 0.0054 (0.0276) time: 3.0389 data: 0.0059 max mem: 31630 Epoch: [3] [2750/5278] eta: 2:19:30 lr: 4.6020600918809074e-05 loss: 0.1736 (0.1838) loss_seg: 0.1721 (0.1821) loss_lansim: 0.1379 (0.1423) loss_contra: 0.0057 (0.0277) time: 3.0390 data: 0.0059 max mem: 31630 Epoch: [3] [2760/5278] eta: 2:18:54 lr: 4.6018449691843074e-05 loss: 0.1803 (0.1838) loss_seg: 0.1791 (0.1821) loss_lansim: 0.1375 (0.1422) loss_contra: 0.0054 (0.0276) time: 3.0320 data: 0.0059 max mem: 31630 Epoch: [3] [2770/5278] eta: 2:18:19 lr: 4.6016298453703274e-05 loss: 0.1819 (0.1839) loss_seg: 0.1805 (0.1822) loss_lansim: 0.1362 (0.1422) loss_contra: 0.0054 (0.0275) time: 3.0320 data: 0.0059 max mem: 31630 Epoch: [3] [2780/5278] eta: 2:17:44 lr: 4.601414720438906e-05 loss: 0.1803 (0.1839) loss_seg: 0.1791 (0.1822) loss_lansim: 0.1379 (0.1422) loss_contra: 0.0053 (0.0275) time: 3.0295 data: 0.0059 max mem: 31630 Epoch: [3] [2790/5278] eta: 2:17:08 lr: 4.60119959438998e-05 loss: 0.1849 (0.1840) loss_seg: 0.1838 (0.1823) loss_lansim: 0.1370 (0.1422) loss_contra: 0.0046 (0.0275) time: 3.0312 data: 0.0059 max mem: 31630 Epoch: [3] [2800/5278] eta: 2:16:33 lr: 4.600984467223482e-05 loss: 0.1775 (0.1840) loss_seg: 0.1757 (0.1823) loss_lansim: 0.1383 (0.1422) loss_contra: 0.0042 (0.0275) time: 3.0289 data: 0.0059 max mem: 31630 Epoch: [3] [2810/5278] eta: 2:15:57 lr: 4.600769338939351e-05 loss: 0.1775 (0.1839) loss_seg: 0.1757 (0.1822) loss_lansim: 0.1395 (0.1422) loss_contra: 0.0037 (0.0274) time: 3.0282 data: 0.0060 max mem: 31630 Epoch: [3] [2820/5278] eta: 2:15:22 lr: 4.600554209537523e-05 loss: 0.1849 (0.1840) loss_seg: 0.1838 (0.1823) loss_lansim: 0.1414 (0.1423) loss_contra: 0.0039 (0.0274) time: 3.0284 data: 0.0060 max mem: 31630 Epoch: [3] [2830/5278] eta: 2:14:46 lr: 4.600339079017933e-05 loss: 0.1859 (0.1840) loss_seg: 0.1844 (0.1823) loss_lansim: 0.1436 (0.1423) loss_contra: 0.0036 (0.0274) time: 3.0301 data: 0.0060 max mem: 31630 Epoch: [3] [2840/5278] eta: 2:14:12 lr: 4.600123947380518e-05 loss: 0.1861 (0.1839) loss_seg: 0.1846 (0.1822) loss_lansim: 0.1436 (0.1423) loss_contra: 0.0037 (0.0274) time: 3.0384 data: 0.0060 max mem: 31630 Epoch: [3] [2850/5278] eta: 2:13:36 lr: 4.5999088146252136e-05 loss: 0.1849 (0.1839) loss_seg: 0.1838 (0.1822) loss_lansim: 0.1436 (0.1424) loss_contra: 0.0038 (0.0277) time: 3.0375 data: 0.0061 max mem: 31630 Epoch: [3] [2860/5278] eta: 2:13:00 lr: 4.599693680751956e-05 loss: 0.1799 (0.1840) loss_seg: 0.1787 (0.1823) loss_lansim: 0.1456 (0.1424) loss_contra: 0.0045 (0.0277) time: 3.0383 data: 0.0061 max mem: 31630 Epoch: [3] [2870/5278] eta: 2:12:25 lr: 4.5994785457606807e-05 loss: 0.1775 (0.1840) loss_seg: 0.1757 (0.1823) loss_lansim: 0.1453 (0.1424) loss_contra: 0.0048 (0.0277) time: 3.0334 data: 0.0061 max mem: 31630 Epoch: [3] [2880/5278] eta: 2:11:49 lr: 4.599263409651325e-05 loss: 0.1746 (0.1840) loss_seg: 0.1729 (0.1823) loss_lansim: 0.1458 (0.1424) loss_contra: 0.0053 (0.0278) time: 3.0224 data: 0.0061 max mem: 31630 Epoch: [3] [2890/5278] eta: 2:11:13 lr: 4.5990482724238246e-05 loss: 0.1719 (0.1840) loss_seg: 0.1705 (0.1823) loss_lansim: 0.1466 (0.1424) loss_contra: 0.0052 (0.0277) time: 3.0108 data: 0.0061 max mem: 31630 Epoch: [3] [2900/5278] eta: 2:10:38 lr: 4.5988331340781155e-05 loss: 0.1719 (0.1841) loss_seg: 0.1705 (0.1824) loss_lansim: 0.1482 (0.1424) loss_contra: 0.0064 (0.0277) time: 3.0151 data: 0.0061 max mem: 31630 Epoch: [3] [2910/5278] eta: 2:10:03 lr: 4.598617994614133e-05 loss: 0.1724 (0.1840) loss_seg: 0.1710 (0.1823) loss_lansim: 0.1463 (0.1424) loss_contra: 0.0086 (0.0278) time: 3.0180 data: 0.0061 max mem: 31630 Epoch: [3] [2920/5278] eta: 2:09:28 lr: 4.598402854031814e-05 loss: 0.1705 (0.1841) loss_seg: 0.1690 (0.1824) loss_lansim: 0.1451 (0.1424) loss_contra: 0.0076 (0.0277) time: 3.0061 data: 0.0061 max mem: 31630 Epoch: [3] [2930/5278] eta: 2:08:53 lr: 4.598187712331095e-05 loss: 0.1724 (0.1843) loss_seg: 0.1710 (0.1826) loss_lansim: 0.1445 (0.1424) loss_contra: 0.0080 (0.0279) time: 3.0133 data: 0.0061 max mem: 31630 Epoch: [3] [2940/5278] eta: 2:08:18 lr: 4.597972569511911e-05 loss: 0.1746 (0.1843) loss_seg: 0.1729 (0.1826) loss_lansim: 0.1458 (0.1425) loss_contra: 0.0076 (0.0279) time: 3.0085 data: 0.0061 max mem: 31630 Epoch: [3] [2950/5278] eta: 2:07:43 lr: 4.597757425574198e-05 loss: 0.1746 (0.1843) loss_seg: 0.1729 (0.1826) loss_lansim: 0.1463 (0.1425) loss_contra: 0.0076 (0.0281) time: 3.0126 data: 0.0061 max mem: 31630 Epoch: [3] [2960/5278] eta: 2:07:08 lr: 4.597542280517892e-05 loss: 0.1748 (0.1843) loss_seg: 0.1733 (0.1825) loss_lansim: 0.1466 (0.1425) loss_contra: 0.0071 (0.0281) time: 3.0141 data: 0.0061 max mem: 31630 Epoch: [3] [2970/5278] eta: 2:06:33 lr: 4.5973271343429315e-05 loss: 0.1825 (0.1843) loss_seg: 0.1809 (0.1826) loss_lansim: 0.1475 (0.1426) loss_contra: 0.0071 (0.0281) time: 3.0223 data: 0.0061 max mem: 31630 Epoch: [3] [2980/5278] eta: 2:05:59 lr: 4.597111987049249e-05 loss: 0.1828 (0.1844) loss_seg: 0.1815 (0.1827) loss_lansim: 0.1484 (0.1426) loss_contra: 0.0086 (0.0283) time: 3.0316 data: 0.0061 max mem: 31630 Epoch: [3] [2990/5278] eta: 2:05:24 lr: 4.596896838636782e-05 loss: 0.1827 (0.1843) loss_seg: 0.1811 (0.1826) loss_lansim: 0.1481 (0.1426) loss_contra: 0.0092 (0.0283) time: 3.0427 data: 0.0061 max mem: 31630 Epoch: [3] [3000/5278] eta: 2:04:49 lr: 4.5966816891054665e-05 loss: 0.1827 (0.1843) loss_seg: 0.1811 (0.1826) loss_lansim: 0.1475 (0.1426) loss_contra: 0.0100 (0.0283) time: 3.0383 data: 0.0061 max mem: 31630 Epoch: [3] [3010/5278] eta: 2:04:15 lr: 4.5964665384552384e-05 loss: 0.1835 (0.1843) loss_seg: 0.1819 (0.1826) loss_lansim: 0.1475 (0.1426) loss_contra: 0.0082 (0.0284) time: 3.0420 data: 0.0061 max mem: 31630 Epoch: [3] [3020/5278] eta: 2:03:40 lr: 4.596251386686034e-05 loss: 0.1827 (0.1843) loss_seg: 0.1811 (0.1826) loss_lansim: 0.1475 (0.1426) loss_contra: 0.0092 (0.0285) time: 3.0475 data: 0.0062 max mem: 31630 Epoch: [3] [3030/5278] eta: 2:03:05 lr: 4.59603623379779e-05 loss: 0.1770 (0.1842) loss_seg: 0.1753 (0.1825) loss_lansim: 0.1457 (0.1426) loss_contra: 0.0105 (0.0285) time: 3.0443 data: 0.0062 max mem: 31630 Epoch: [3] [3040/5278] eta: 2:02:31 lr: 4.59582107979044e-05 loss: 0.1793 (0.1843) loss_seg: 0.1778 (0.1826) loss_lansim: 0.1457 (0.1426) loss_contra: 0.0107 (0.0286) time: 3.0501 data: 0.0062 max mem: 31630 Epoch: [3] [3050/5278] eta: 2:01:56 lr: 4.595605924663923e-05 loss: 0.1793 (0.1843) loss_seg: 0.1778 (0.1826) loss_lansim: 0.1427 (0.1426) loss_contra: 0.0081 (0.0285) time: 3.0474 data: 0.0062 max mem: 31630 Epoch: [3] [3060/5278] eta: 2:01:23 lr: 4.595390768418172e-05 loss: 0.1793 (0.1843) loss_seg: 0.1778 (0.1826) loss_lansim: 0.1417 (0.1425) loss_contra: 0.0084 (0.0285) time: 3.0682 data: 0.0062 max mem: 31630 Epoch: [3] [3070/5278] eta: 2:00:49 lr: 4.595175611053125e-05 loss: 0.1737 (0.1843) loss_seg: 0.1722 (0.1826) loss_lansim: 0.1383 (0.1425) loss_contra: 0.0081 (0.0285) time: 3.0731 data: 0.0063 max mem: 31630 Epoch: [3] [3080/5278] eta: 2:00:15 lr: 4.594960452568716e-05 loss: 0.1706 (0.1843) loss_seg: 0.1691 (0.1826) loss_lansim: 0.1363 (0.1424) loss_contra: 0.0079 (0.0286) time: 3.0862 data: 0.0063 max mem: 31630 Epoch: [3] [3090/5278] eta: 1:59:41 lr: 4.5947452929648836e-05 loss: 0.1677 (0.1841) loss_seg: 0.1663 (0.1824) loss_lansim: 0.1324 (0.1424) loss_contra: 0.0067 (0.0285) time: 3.0935 data: 0.0063 max mem: 31630 Epoch: [3] [3100/5278] eta: 1:59:07 lr: 4.594530132241562e-05 loss: 0.1660 (0.1841) loss_seg: 0.1648 (0.1824) loss_lansim: 0.1297 (0.1423) loss_contra: 0.0046 (0.0285) time: 3.1029 data: 0.0063 max mem: 31630 Epoch: [3] [3110/5278] eta: 1:58:34 lr: 4.5943149703986875e-05 loss: 0.1649 (0.1842) loss_seg: 0.1637 (0.1825) loss_lansim: 0.1283 (0.1423) loss_contra: 0.0046 (0.0288) time: 3.1080 data: 0.0063 max mem: 31630 Epoch: [3] [3120/5278] eta: 1:58:00 lr: 4.594099807436196e-05 loss: 0.1649 (0.1841) loss_seg: 0.1636 (0.1824) loss_lansim: 0.1282 (0.1422) loss_contra: 0.0045 (0.0287) time: 3.1194 data: 0.0063 max mem: 31630 Epoch: [3] [3130/5278] eta: 1:57:25 lr: 4.593884643354023e-05 loss: 0.1625 (0.1840) loss_seg: 0.1614 (0.1823) loss_lansim: 0.1271 (0.1422) loss_contra: 0.0046 (0.0287) time: 3.1224 data: 0.0064 max mem: 31630 Epoch: [3] [3140/5278] eta: 1:56:51 lr: 4.593669478152105e-05 loss: 0.1582 (0.1840) loss_seg: 0.1557 (0.1823) loss_lansim: 0.1239 (0.1422) loss_contra: 0.0045 (0.0289) time: 3.1209 data: 0.0063 max mem: 31630 Epoch: [3] [3150/5278] eta: 1:56:17 lr: 4.5934543118303773e-05 loss: 0.1649 (0.1842) loss_seg: 0.1636 (0.1825) loss_lansim: 0.1246 (0.1422) loss_contra: 0.0062 (0.0289) time: 3.1293 data: 0.0063 max mem: 31630 Epoch: [3] [3160/5278] eta: 1:55:43 lr: 4.593239144388777e-05 loss: 0.1653 (0.1842) loss_seg: 0.1637 (0.1825) loss_lansim: 0.1268 (0.1422) loss_contra: 0.0046 (0.0288) time: 3.1115 data: 0.0063 max mem: 31630 Epoch: [3] [3170/5278] eta: 1:55:09 lr: 4.593023975827238e-05 loss: 0.1660 (0.1842) loss_seg: 0.1648 (0.1825) loss_lansim: 0.1323 (0.1422) loss_contra: 0.0046 (0.0289) time: 3.1059 data: 0.0063 max mem: 31630 Epoch: [3] [3180/5278] eta: 1:54:35 lr: 4.592808806145699e-05 loss: 0.1716 (0.1843) loss_seg: 0.1703 (0.1826) loss_lansim: 0.1327 (0.1422) loss_contra: 0.0050 (0.0289) time: 3.0974 data: 0.0063 max mem: 31630 Epoch: [3] [3190/5278] eta: 1:54:01 lr: 4.592593635344092e-05 loss: 0.1750 (0.1843) loss_seg: 0.1733 (0.1826) loss_lansim: 0.1368 (0.1422) loss_contra: 0.0053 (0.0288) time: 3.0961 data: 0.0062 max mem: 31630 Epoch: [3] [3200/5278] eta: 1:53:27 lr: 4.592378463422357e-05 loss: 0.1728 (0.1843) loss_seg: 0.1716 (0.1826) loss_lansim: 0.1384 (0.1422) loss_contra: 0.0072 (0.0288) time: 3.0944 data: 0.0062 max mem: 31630 Epoch: [3] [3210/5278] eta: 1:52:54 lr: 4.5921632903804265e-05 loss: 0.1728 (0.1842) loss_seg: 0.1716 (0.1825) loss_lansim: 0.1399 (0.1422) loss_contra: 0.0072 (0.0289) time: 3.0979 data: 0.0062 max mem: 31630 Epoch: [3] [3220/5278] eta: 1:52:20 lr: 4.591948116218239e-05 loss: 0.1728 (0.1842) loss_seg: 0.1716 (0.1825) loss_lansim: 0.1384 (0.1421) loss_contra: 0.0074 (0.0288) time: 3.1039 data: 0.0062 max mem: 31630 Epoch: [3] [3230/5278] eta: 1:51:47 lr: 4.591732940935728e-05 loss: 0.1804 (0.1843) loss_seg: 0.1789 (0.1826) loss_lansim: 0.1368 (0.1420) loss_contra: 0.0074 (0.0289) time: 3.1201 data: 0.0062 max mem: 31630 Epoch: [3] [3240/5278] eta: 1:51:13 lr: 4.591517764532831e-05 loss: 0.1852 (0.1844) loss_seg: 0.1836 (0.1827) loss_lansim: 0.1384 (0.1420) loss_contra: 0.0071 (0.0288) time: 3.1220 data: 0.0062 max mem: 31630 Epoch: [3] [3250/5278] eta: 1:50:40 lr: 4.5913025870094836e-05 loss: 0.1846 (0.1844) loss_seg: 0.1829 (0.1827) loss_lansim: 0.1402 (0.1421) loss_contra: 0.0071 (0.0288) time: 3.1252 data: 0.0062 max mem: 31630 Epoch: [3] [3260/5278] eta: 1:50:06 lr: 4.591087408365621e-05 loss: 0.1801 (0.1844) loss_seg: 0.1786 (0.1827) loss_lansim: 0.1364 (0.1421) loss_contra: 0.0086 (0.0288) time: 3.1375 data: 0.0062 max mem: 31630 Epoch: [3] [3270/5278] eta: 1:49:33 lr: 4.590872228601179e-05 loss: 0.1778 (0.1843) loss_seg: 0.1766 (0.1826) loss_lansim: 0.1343 (0.1420) loss_contra: 0.0078 (0.0287) time: 3.1466 data: 0.0062 max mem: 31630 Epoch: [3] [3280/5278] eta: 1:48:59 lr: 4.590657047716094e-05 loss: 0.1728 (0.1843) loss_seg: 0.1716 (0.1825) loss_lansim: 0.1343 (0.1420) loss_contra: 0.0071 (0.0287) time: 3.1520 data: 0.0062 max mem: 31630 Epoch: [3] [3290/5278] eta: 1:48:26 lr: 4.590441865710301e-05 loss: 0.1766 (0.1843) loss_seg: 0.1753 (0.1826) loss_lansim: 0.1343 (0.1420) loss_contra: 0.0074 (0.0287) time: 3.1536 data: 0.0063 max mem: 31630 Epoch: [3] [3300/5278] eta: 1:47:52 lr: 4.590226682583737e-05 loss: 0.1774 (0.1843) loss_seg: 0.1756 (0.1826) loss_lansim: 0.1335 (0.1420) loss_contra: 0.0075 (0.0287) time: 3.1584 data: 0.0063 max mem: 31630 Epoch: [3] [3310/5278] eta: 1:47:19 lr: 4.5900114983363364e-05 loss: 0.1766 (0.1842) loss_seg: 0.1753 (0.1825) loss_lansim: 0.1304 (0.1419) loss_contra: 0.0055 (0.0286) time: 3.1584 data: 0.0063 max mem: 31630 Epoch: [3] [3320/5278] eta: 1:46:46 lr: 4.589796312968036e-05 loss: 0.1766 (0.1842) loss_seg: 0.1753 (0.1825) loss_lansim: 0.1323 (0.1419) loss_contra: 0.0067 (0.0286) time: 3.1558 data: 0.0063 max mem: 31630 Epoch: [3] [3330/5278] eta: 1:46:13 lr: 4.589581126478771e-05 loss: 0.1738 (0.1842) loss_seg: 0.1684 (0.1825) loss_lansim: 0.1347 (0.1420) loss_contra: 0.0060 (0.0287) time: 3.1560 data: 0.0063 max mem: 31630 Epoch: [3] [3340/5278] eta: 1:45:39 lr: 4.5893659388684777e-05 loss: 0.1702 (0.1843) loss_seg: 0.1680 (0.1826) loss_lansim: 0.1347 (0.1419) loss_contra: 0.0049 (0.0287) time: 3.1659 data: 0.0063 max mem: 31630 Epoch: [3] [3350/5278] eta: 1:45:06 lr: 4.589150750137091e-05 loss: 0.1738 (0.1845) loss_seg: 0.1684 (0.1828) loss_lansim: 0.1347 (0.1419) loss_contra: 0.0054 (0.0287) time: 3.1649 data: 0.0063 max mem: 31630 Epoch: [3] [3360/5278] eta: 1:44:33 lr: 4.5889355602845476e-05 loss: 0.1735 (0.1845) loss_seg: 0.1684 (0.1828) loss_lansim: 0.1357 (0.1420) loss_contra: 0.0054 (0.0287) time: 3.1721 data: 0.0063 max mem: 31630 Epoch: [3] [3370/5278] eta: 1:44:00 lr: 4.588720369310783e-05 loss: 0.1735 (0.1844) loss_seg: 0.1684 (0.1827) loss_lansim: 0.1364 (0.1420) loss_contra: 0.0055 (0.0286) time: 3.1731 data: 0.0063 max mem: 31630 Epoch: [3] [3380/5278] eta: 1:43:26 lr: 4.588505177215732e-05 loss: 0.1738 (0.1845) loss_seg: 0.1711 (0.1827) loss_lansim: 0.1415 (0.1420) loss_contra: 0.0058 (0.0286) time: 3.1744 data: 0.0063 max mem: 31630 Epoch: [3] [3390/5278] eta: 1:42:53 lr: 4.588289983999332e-05 loss: 0.1688 (0.1843) loss_seg: 0.1672 (0.1826) loss_lansim: 0.1425 (0.1420) loss_contra: 0.0060 (0.0286) time: 3.1798 data: 0.0063 max mem: 31630 Epoch: [3] [3400/5278] eta: 1:42:21 lr: 4.588074789661517e-05 loss: 0.1665 (0.1843) loss_seg: 0.1651 (0.1826) loss_lansim: 0.1423 (0.1420) loss_contra: 0.0058 (0.0285) time: 3.1924 data: 0.0064 max mem: 31630 Epoch: [3] [3410/5278] eta: 1:41:47 lr: 4.587859594202224e-05 loss: 0.1688 (0.1842) loss_seg: 0.1672 (0.1825) loss_lansim: 0.1423 (0.1420) loss_contra: 0.0065 (0.0285) time: 3.1884 data: 0.0064 max mem: 31630 Epoch: [3] [3420/5278] eta: 1:41:14 lr: 4.587644397621388e-05 loss: 0.1702 (0.1842) loss_seg: 0.1675 (0.1825) loss_lansim: 0.1431 (0.1420) loss_contra: 0.0054 (0.0284) time: 3.1884 data: 0.0064 max mem: 31630 Epoch: [3] [3430/5278] eta: 1:40:41 lr: 4.587429199918945e-05 loss: 0.1661 (0.1842) loss_seg: 0.1644 (0.1825) loss_lansim: 0.1434 (0.1420) loss_contra: 0.0049 (0.0284) time: 3.1888 data: 0.0064 max mem: 31630 Epoch: [3] [3440/5278] eta: 1:40:08 lr: 4.587214001094831e-05 loss: 0.1661 (0.1842) loss_seg: 0.1644 (0.1825) loss_lansim: 0.1425 (0.1420) loss_contra: 0.0044 (0.0284) time: 3.1837 data: 0.0064 max mem: 31630 Epoch: [3] [3450/5278] eta: 1:39:34 lr: 4.5869988011489806e-05 loss: 0.1623 (0.1842) loss_seg: 0.1607 (0.1825) loss_lansim: 0.1405 (0.1420) loss_contra: 0.0039 (0.0284) time: 3.1845 data: 0.0065 max mem: 31630 Epoch: [3] [3460/5278] eta: 1:39:01 lr: 4.58678360008133e-05 loss: 0.1623 (0.1841) loss_seg: 0.1607 (0.1824) loss_lansim: 0.1405 (0.1420) loss_contra: 0.0035 (0.0285) time: 3.1734 data: 0.0065 max mem: 31630 Epoch: [3] [3470/5278] eta: 1:38:27 lr: 4.586568397891816e-05 loss: 0.1623 (0.1840) loss_seg: 0.1607 (0.1823) loss_lansim: 0.1390 (0.1420) loss_contra: 0.0035 (0.0284) time: 3.1666 data: 0.0065 max mem: 31630 Epoch: [3] [3480/5278] eta: 1:37:54 lr: 4.5863531945803735e-05 loss: 0.1536 (0.1839) loss_seg: 0.1516 (0.1822) loss_lansim: 0.1379 (0.1420) loss_contra: 0.0036 (0.0284) time: 3.1586 data: 0.0065 max mem: 31630 Epoch: [3] [3490/5278] eta: 1:37:20 lr: 4.586137990146937e-05 loss: 0.1646 (0.1840) loss_seg: 0.1623 (0.1823) loss_lansim: 0.1372 (0.1419) loss_contra: 0.0036 (0.0284) time: 3.1472 data: 0.0065 max mem: 31630 Epoch: [3] [3500/5278] eta: 1:36:46 lr: 4.5859227845914434e-05 loss: 0.1646 (0.1839) loss_seg: 0.1623 (0.1822) loss_lansim: 0.1382 (0.1419) loss_contra: 0.0036 (0.0284) time: 3.1242 data: 0.0065 max mem: 31630 Epoch: [3] [3510/5278] eta: 1:36:13 lr: 4.585707577913828e-05 loss: 0.1698 (0.1840) loss_seg: 0.1684 (0.1823) loss_lansim: 0.1388 (0.1419) loss_contra: 0.0038 (0.0284) time: 3.1256 data: 0.0065 max mem: 31630 Epoch: [3] [3520/5278] eta: 1:35:39 lr: 4.585492370114027e-05 loss: 0.1690 (0.1840) loss_seg: 0.1676 (0.1822) loss_lansim: 0.1351 (0.1419) loss_contra: 0.0045 (0.0285) time: 3.1138 data: 0.0065 max mem: 31630 Epoch: [3] [3530/5278] eta: 1:35:06 lr: 4.5852771611919745e-05 loss: 0.1698 (0.1840) loss_seg: 0.1684 (0.1823) loss_lansim: 0.1365 (0.1419) loss_contra: 0.0056 (0.0285) time: 3.0988 data: 0.0065 max mem: 31630 Epoch: [3] [3540/5278] eta: 1:34:32 lr: 4.5850619511476085e-05 loss: 0.1695 (0.1840) loss_seg: 0.1679 (0.1823) loss_lansim: 0.1367 (0.1418) loss_contra: 0.0082 (0.0285) time: 3.0881 data: 0.0064 max mem: 31630 Epoch: [3] [3550/5278] eta: 1:33:59 lr: 4.584846739980863e-05 loss: 0.1719 (0.1840) loss_seg: 0.1702 (0.1823) loss_lansim: 0.1379 (0.1418) loss_contra: 0.0072 (0.0285) time: 3.0853 data: 0.0064 max mem: 31630 Epoch: [3] [3560/5278] eta: 1:33:25 lr: 4.584631527691673e-05 loss: 0.1726 (0.1839) loss_seg: 0.1711 (0.1822) loss_lansim: 0.1365 (0.1418) loss_contra: 0.0050 (0.0284) time: 3.0829 data: 0.0063 max mem: 31630 Epoch: [3] [3570/5278] eta: 1:32:51 lr: 4.5844163142799756e-05 loss: 0.1772 (0.1839) loss_seg: 0.1751 (0.1822) loss_lansim: 0.1367 (0.1418) loss_contra: 0.0047 (0.0283) time: 3.0745 data: 0.0063 max mem: 31630 Epoch: [3] [3580/5278] eta: 1:32:18 lr: 4.5842010997457054e-05 loss: 0.1750 (0.1839) loss_seg: 0.1732 (0.1822) loss_lansim: 0.1354 (0.1418) loss_contra: 0.0043 (0.0283) time: 3.0694 data: 0.0063 max mem: 31630 Epoch: [3] [3590/5278] eta: 1:31:44 lr: 4.583985884088798e-05 loss: 0.1772 (0.1839) loss_seg: 0.1751 (0.1822) loss_lansim: 0.1367 (0.1418) loss_contra: 0.0047 (0.0283) time: 3.0757 data: 0.0063 max mem: 31630 Epoch: [3] [3600/5278] eta: 1:31:12 lr: 4.5837706673091905e-05 loss: 0.1772 (0.1839) loss_seg: 0.1751 (0.1822) loss_lansim: 0.1366 (0.1418) loss_contra: 0.0045 (0.0283) time: 3.0967 data: 0.0064 max mem: 31630 Epoch: [3] [3610/5278] eta: 1:30:39 lr: 4.583555449406817e-05 loss: 0.1689 (0.1839) loss_seg: 0.1676 (0.1822) loss_lansim: 0.1380 (0.1418) loss_contra: 0.0045 (0.0283) time: 3.1030 data: 0.0063 max mem: 31630 Epoch: [3] [3620/5278] eta: 1:30:06 lr: 4.583340230381613e-05 loss: 0.1714 (0.1839) loss_seg: 0.1698 (0.1822) loss_lansim: 0.1401 (0.1418) loss_contra: 0.0047 (0.0282) time: 3.1170 data: 0.0064 max mem: 31630 Epoch: [3] [3630/5278] eta: 1:29:33 lr: 4.5831250102335145e-05 loss: 0.1707 (0.1839) loss_seg: 0.1692 (0.1822) loss_lansim: 0.1401 (0.1418) loss_contra: 0.0045 (0.0282) time: 3.1340 data: 0.0064 max mem: 31630 Epoch: [3] [3640/5278] eta: 1:29:00 lr: 4.582909788962457e-05 loss: 0.1703 (0.1838) loss_seg: 0.1679 (0.1821) loss_lansim: 0.1403 (0.1418) loss_contra: 0.0045 (0.0282) time: 3.1493 data: 0.0064 max mem: 31630 Epoch: [3] [3650/5278] eta: 1:28:27 lr: 4.5826945665683766e-05 loss: 0.1689 (0.1839) loss_seg: 0.1671 (0.1822) loss_lansim: 0.1401 (0.1418) loss_contra: 0.0047 (0.0281) time: 3.1496 data: 0.0065 max mem: 31630 Epoch: [3] [3660/5278] eta: 1:27:54 lr: 4.5824793430512074e-05 loss: 0.1689 (0.1839) loss_seg: 0.1671 (0.1822) loss_lansim: 0.1405 (0.1418) loss_contra: 0.0049 (0.0281) time: 3.1595 data: 0.0066 max mem: 31630 Epoch: [3] [3670/5278] eta: 1:27:21 lr: 4.582264118410886e-05 loss: 0.1685 (0.1838) loss_seg: 0.1669 (0.1821) loss_lansim: 0.1414 (0.1418) loss_contra: 0.0050 (0.0281) time: 3.1788 data: 0.0066 max mem: 31630 Epoch: [3] [3680/5278] eta: 1:26:48 lr: 4.5820488926473484e-05 loss: 0.1715 (0.1839) loss_seg: 0.1701 (0.1822) loss_lansim: 0.1418 (0.1418) loss_contra: 0.0052 (0.0281) time: 3.1932 data: 0.0066 max mem: 31630 Epoch: [3] [3690/5278] eta: 1:26:16 lr: 4.581833665760529e-05 loss: 0.1703 (0.1839) loss_seg: 0.1679 (0.1822) loss_lansim: 0.1405 (0.1418) loss_contra: 0.0067 (0.0280) time: 3.1979 data: 0.0067 max mem: 31630 Epoch: [3] [3700/5278] eta: 1:25:42 lr: 4.581618437750363e-05 loss: 0.1710 (0.1839) loss_seg: 0.1696 (0.1822) loss_lansim: 0.1414 (0.1418) loss_contra: 0.0075 (0.0280) time: 3.1879 data: 0.0067 max mem: 31630 Epoch: [3] [3710/5278] eta: 1:25:09 lr: 4.5814032086167875e-05 loss: 0.1736 (0.1839) loss_seg: 0.1722 (0.1822) loss_lansim: 0.1403 (0.1418) loss_contra: 0.0079 (0.0280) time: 3.1811 data: 0.0066 max mem: 31630 Epoch: [3] [3720/5278] eta: 1:24:36 lr: 4.5811879783597366e-05 loss: 0.1768 (0.1839) loss_seg: 0.1756 (0.1822) loss_lansim: 0.1386 (0.1418) loss_contra: 0.0075 (0.0280) time: 3.1737 data: 0.0066 max mem: 31630 Epoch: [3] [3730/5278] eta: 1:24:03 lr: 4.5809727469791466e-05 loss: 0.1778 (0.1840) loss_seg: 0.1765 (0.1823) loss_lansim: 0.1386 (0.1417) loss_contra: 0.0079 (0.0280) time: 3.1656 data: 0.0066 max mem: 31630 Epoch: [3] [3740/5278] eta: 1:23:30 lr: 4.580757514474953e-05 loss: 0.1794 (0.1840) loss_seg: 0.1779 (0.1823) loss_lansim: 0.1355 (0.1417) loss_contra: 0.0090 (0.0280) time: 3.1469 data: 0.0066 max mem: 31630 Epoch: [3] [3750/5278] eta: 1:22:57 lr: 4.580542280847091e-05 loss: 0.1804 (0.1841) loss_seg: 0.1787 (0.1824) loss_lansim: 0.1392 (0.1417) loss_contra: 0.0097 (0.0280) time: 3.1472 data: 0.0065 max mem: 31630 Epoch: [3] [3760/5278] eta: 1:22:24 lr: 4.5803270460954964e-05 loss: 0.1845 (0.1841) loss_seg: 0.1825 (0.1824) loss_lansim: 0.1358 (0.1417) loss_contra: 0.0097 (0.0280) time: 3.1490 data: 0.0064 max mem: 31630 Epoch: [3] [3770/5278] eta: 1:21:51 lr: 4.580111810220104e-05 loss: 0.1879 (0.1841) loss_seg: 0.1859 (0.1824) loss_lansim: 0.1398 (0.1417) loss_contra: 0.0093 (0.0279) time: 3.1471 data: 0.0064 max mem: 31630 Epoch: [3] [3780/5278] eta: 1:21:18 lr: 4.579896573220849e-05 loss: 0.1879 (0.1842) loss_seg: 0.1863 (0.1825) loss_lansim: 0.1401 (0.1417) loss_contra: 0.0097 (0.0279) time: 3.1404 data: 0.0064 max mem: 31630 Epoch: [3] [3790/5278] eta: 1:20:45 lr: 4.579681335097667e-05 loss: 0.1904 (0.1844) loss_seg: 0.1891 (0.1827) loss_lansim: 0.1404 (0.1417) loss_contra: 0.0091 (0.0279) time: 3.1332 data: 0.0063 max mem: 31630 Epoch: [3] [3800/5278] eta: 1:20:11 lr: 4.579466095850495e-05 loss: 0.1879 (0.1843) loss_seg: 0.1863 (0.1826) loss_lansim: 0.1405 (0.1417) loss_contra: 0.0096 (0.0279) time: 3.1272 data: 0.0063 max mem: 31630 Epoch: [3] [3810/5278] eta: 1:19:39 lr: 4.579250855479267e-05 loss: 0.1853 (0.1843) loss_seg: 0.1837 (0.1826) loss_lansim: 0.1408 (0.1417) loss_contra: 0.0065 (0.0278) time: 3.1284 data: 0.0064 max mem: 31630 Epoch: [3] [3820/5278] eta: 1:19:06 lr: 4.5790356139839184e-05 loss: 0.1815 (0.1843) loss_seg: 0.1800 (0.1826) loss_lansim: 0.1405 (0.1417) loss_contra: 0.0063 (0.0278) time: 3.1442 data: 0.0064 max mem: 31630 Epoch: [3] [3830/5278] eta: 1:18:33 lr: 4.578820371364385e-05 loss: 0.1794 (0.1842) loss_seg: 0.1780 (0.1825) loss_lansim: 0.1409 (0.1417) loss_contra: 0.0065 (0.0278) time: 3.1432 data: 0.0064 max mem: 31630 Epoch: [3] [3840/5278] eta: 1:18:00 lr: 4.5786051276206024e-05 loss: 0.1808 (0.1842) loss_seg: 0.1794 (0.1825) loss_lansim: 0.1421 (0.1417) loss_contra: 0.0063 (0.0277) time: 3.1496 data: 0.0064 max mem: 31630 Epoch: [3] [3850/5278] eta: 1:17:27 lr: 4.5783898827525055e-05 loss: 0.1808 (0.1842) loss_seg: 0.1794 (0.1825) loss_lansim: 0.1419 (0.1417) loss_contra: 0.0053 (0.0277) time: 3.1419 data: 0.0065 max mem: 31630 Epoch: [3] [3860/5278] eta: 1:16:54 lr: 4.57817463676003e-05 loss: 0.1779 (0.1841) loss_seg: 0.1767 (0.1825) loss_lansim: 0.1419 (0.1417) loss_contra: 0.0044 (0.0277) time: 3.1485 data: 0.0065 max mem: 31630 Epoch: [3] [3870/5278] eta: 1:16:21 lr: 4.577959389643111e-05 loss: 0.1779 (0.1841) loss_seg: 0.1767 (0.1824) loss_lansim: 0.1421 (0.1417) loss_contra: 0.0060 (0.0277) time: 3.1481 data: 0.0065 max mem: 31630 Epoch: [3] [3880/5278] eta: 1:15:49 lr: 4.577744141401684e-05 loss: 0.1779 (0.1842) loss_seg: 0.1767 (0.1825) loss_lansim: 0.1430 (0.1418) loss_contra: 0.0045 (0.0276) time: 3.1590 data: 0.0065 max mem: 31630 Epoch: [3] [3890/5278] eta: 1:15:16 lr: 4.577528892035685e-05 loss: 0.1694 (0.1842) loss_seg: 0.1673 (0.1825) loss_lansim: 0.1439 (0.1418) loss_contra: 0.0043 (0.0277) time: 3.1571 data: 0.0065 max mem: 31630 Epoch: [3] [3900/5278] eta: 1:14:42 lr: 4.577313641545049e-05 loss: 0.1775 (0.1843) loss_seg: 0.1746 (0.1826) loss_lansim: 0.1439 (0.1418) loss_contra: 0.0042 (0.0276) time: 3.1589 data: 0.0066 max mem: 31630 Epoch: [3] [3910/5278] eta: 1:14:10 lr: 4.57709838992971e-05 loss: 0.1727 (0.1842) loss_seg: 0.1714 (0.1825) loss_lansim: 0.1455 (0.1418) loss_contra: 0.0048 (0.0277) time: 3.1595 data: 0.0065 max mem: 31630 Epoch: [3] [3920/5278] eta: 1:13:37 lr: 4.576883137189606e-05 loss: 0.1775 (0.1843) loss_seg: 0.1746 (0.1826) loss_lansim: 0.1458 (0.1418) loss_contra: 0.0064 (0.0277) time: 3.1488 data: 0.0065 max mem: 31630 Epoch: [3] [3930/5278] eta: 1:13:04 lr: 4.576667883324671e-05 loss: 0.1791 (0.1843) loss_seg: 0.1774 (0.1826) loss_lansim: 0.1454 (0.1418) loss_contra: 0.0057 (0.0277) time: 3.1565 data: 0.0065 max mem: 31630 Epoch: [3] [3940/5278] eta: 1:12:31 lr: 4.5764526283348394e-05 loss: 0.1789 (0.1843) loss_seg: 0.1771 (0.1826) loss_lansim: 0.1442 (0.1418) loss_contra: 0.0064 (0.0277) time: 3.1542 data: 0.0065 max mem: 31630 Epoch: [3] [3950/5278] eta: 1:11:58 lr: 4.576237372220047e-05 loss: 0.1763 (0.1842) loss_seg: 0.1746 (0.1825) loss_lansim: 0.1430 (0.1418) loss_contra: 0.0053 (0.0277) time: 3.1581 data: 0.0064 max mem: 31630 Epoch: [3] [3960/5278] eta: 1:11:25 lr: 4.5760221149802303e-05 loss: 0.1763 (0.1842) loss_seg: 0.1746 (0.1825) loss_lansim: 0.1415 (0.1418) loss_contra: 0.0075 (0.0278) time: 3.1498 data: 0.0065 max mem: 31630 Epoch: [3] [3970/5278] eta: 1:10:52 lr: 4.5758068566153235e-05 loss: 0.1749 (0.1842) loss_seg: 0.1734 (0.1825) loss_lansim: 0.1415 (0.1417) loss_contra: 0.0079 (0.0278) time: 3.1490 data: 0.0064 max mem: 31630 Epoch: [3] [3980/5278] eta: 1:10:20 lr: 4.575591597125262e-05 loss: 0.1749 (0.1843) loss_seg: 0.1734 (0.1826) loss_lansim: 0.1406 (0.1417) loss_contra: 0.0100 (0.0279) time: 3.1487 data: 0.0064 max mem: 31630 Epoch: [3] [3990/5278] eta: 1:09:47 lr: 4.575376336509982e-05 loss: 0.1749 (0.1843) loss_seg: 0.1734 (0.1826) loss_lansim: 0.1393 (0.1417) loss_contra: 0.0100 (0.0278) time: 3.1446 data: 0.0064 max mem: 31630 Epoch: [3] [4000/5278] eta: 1:09:14 lr: 4.5751610747694175e-05 loss: 0.1736 (0.1843) loss_seg: 0.1719 (0.1826) loss_lansim: 0.1393 (0.1418) loss_contra: 0.0104 (0.0278) time: 3.1447 data: 0.0064 max mem: 31630 Epoch: [3] [4010/5278] eta: 1:08:41 lr: 4.574945811903504e-05 loss: 0.1749 (0.1842) loss_seg: 0.1734 (0.1826) loss_lansim: 0.1391 (0.1418) loss_contra: 0.0087 (0.0278) time: 3.1334 data: 0.0064 max mem: 31630 Epoch: [3] [4020/5278] eta: 1:08:08 lr: 4.574730547912178e-05 loss: 0.1682 (0.1842) loss_seg: 0.1668 (0.1825) loss_lansim: 0.1368 (0.1417) loss_contra: 0.0057 (0.0277) time: 3.1380 data: 0.0064 max mem: 31630 Epoch: [3] [4030/5278] eta: 1:07:35 lr: 4.574515282795374e-05 loss: 0.1675 (0.1843) loss_seg: 0.1661 (0.1826) loss_lansim: 0.1377 (0.1417) loss_contra: 0.0057 (0.0277) time: 3.1401 data: 0.0064 max mem: 31630 Epoch: [3] [4040/5278] eta: 1:07:03 lr: 4.574300016553027e-05 loss: 0.1677 (0.1844) loss_seg: 0.1664 (0.1827) loss_lansim: 0.1377 (0.1417) loss_contra: 0.0053 (0.0277) time: 3.1502 data: 0.0064 max mem: 31630 Epoch: [3] [4050/5278] eta: 1:06:30 lr: 4.574084749185073e-05 loss: 0.1690 (0.1843) loss_seg: 0.1673 (0.1826) loss_lansim: 0.1391 (0.1417) loss_contra: 0.0058 (0.0277) time: 3.1517 data: 0.0064 max mem: 31630 Epoch: [3] [4060/5278] eta: 1:05:57 lr: 4.5738694806914465e-05 loss: 0.1700 (0.1843) loss_seg: 0.1684 (0.1827) loss_lansim: 0.1414 (0.1417) loss_contra: 0.0057 (0.0277) time: 3.1455 data: 0.0064 max mem: 31630 Epoch: [3] [4070/5278] eta: 1:05:24 lr: 4.5736542110720826e-05 loss: 0.1700 (0.1843) loss_seg: 0.1684 (0.1827) loss_lansim: 0.1409 (0.1417) loss_contra: 0.0046 (0.0278) time: 3.1491 data: 0.0064 max mem: 31630 Epoch: [3] [4080/5278] eta: 1:04:52 lr: 4.5734389403269164e-05 loss: 0.1705 (0.1843) loss_seg: 0.1686 (0.1826) loss_lansim: 0.1401 (0.1417) loss_contra: 0.0053 (0.0278) time: 3.1542 data: 0.0064 max mem: 31630 Epoch: [3] [4090/5278] eta: 1:04:19 lr: 4.573223668455885e-05 loss: 0.1713 (0.1843) loss_seg: 0.1698 (0.1826) loss_lansim: 0.1399 (0.1417) loss_contra: 0.0058 (0.0277) time: 3.1688 data: 0.0065 max mem: 31630 Epoch: [3] [4100/5278] eta: 1:03:46 lr: 4.573008395458922e-05 loss: 0.1691 (0.1843) loss_seg: 0.1678 (0.1826) loss_lansim: 0.1344 (0.1417) loss_contra: 0.0048 (0.0277) time: 3.1705 data: 0.0065 max mem: 31630 Epoch: [3] [4110/5278] eta: 1:03:13 lr: 4.572793121335963e-05 loss: 0.1704 (0.1843) loss_seg: 0.1691 (0.1826) loss_lansim: 0.1332 (0.1417) loss_contra: 0.0046 (0.0277) time: 3.1689 data: 0.0065 max mem: 31630 Epoch: [3] [4120/5278] eta: 1:02:41 lr: 4.572577846086942e-05 loss: 0.1725 (0.1842) loss_seg: 0.1709 (0.1825) loss_lansim: 0.1336 (0.1416) loss_contra: 0.0053 (0.0276) time: 3.1637 data: 0.0065 max mem: 31630 Epoch: [3] [4130/5278] eta: 1:02:08 lr: 4.572362569711797e-05 loss: 0.1713 (0.1842) loss_seg: 0.1698 (0.1825) loss_lansim: 0.1332 (0.1416) loss_contra: 0.0047 (0.0276) time: 3.1737 data: 0.0065 max mem: 31630 Epoch: [3] [4140/5278] eta: 1:01:36 lr: 4.5721472922104606e-05 loss: 0.1704 (0.1842) loss_seg: 0.1691 (0.1825) loss_lansim: 0.1325 (0.1416) loss_contra: 0.0047 (0.0276) time: 3.1830 data: 0.0065 max mem: 31630 Epoch: [3] [4150/5278] eta: 1:01:03 lr: 4.571932013582869e-05 loss: 0.1713 (0.1842) loss_seg: 0.1699 (0.1825) loss_lansim: 0.1332 (0.1416) loss_contra: 0.0047 (0.0275) time: 3.1810 data: 0.0066 max mem: 31630 Epoch: [3] [4160/5278] eta: 1:00:30 lr: 4.571716733828957e-05 loss: 0.1703 (0.1841) loss_seg: 0.1689 (0.1824) loss_lansim: 0.1332 (0.1416) loss_contra: 0.0047 (0.0275) time: 3.1769 data: 0.0065 max mem: 31630 Epoch: [3] [4170/5278] eta: 0:59:57 lr: 4.571501452948661e-05 loss: 0.1670 (0.1841) loss_seg: 0.1645 (0.1824) loss_lansim: 0.1338 (0.1416) loss_contra: 0.0042 (0.0275) time: 3.1739 data: 0.0066 max mem: 31630 Epoch: [3] [4180/5278] eta: 0:59:25 lr: 4.5712861709419144e-05 loss: 0.1655 (0.1840) loss_seg: 0.1639 (0.1823) loss_lansim: 0.1339 (0.1416) loss_contra: 0.0040 (0.0274) time: 3.1750 data: 0.0065 max mem: 31630 Epoch: [3] [4190/5278] eta: 0:58:52 lr: 4.5710708878086535e-05 loss: 0.1629 (0.1840) loss_seg: 0.1608 (0.1823) loss_lansim: 0.1349 (0.1416) loss_contra: 0.0036 (0.0274) time: 3.1768 data: 0.0065 max mem: 31630 Epoch: [3] [4200/5278] eta: 0:58:20 lr: 4.570855603548813e-05 loss: 0.1625 (0.1839) loss_seg: 0.1608 (0.1822) loss_lansim: 0.1372 (0.1416) loss_contra: 0.0036 (0.0274) time: 3.1768 data: 0.0064 max mem: 31630 Epoch: [3] [4210/5278] eta: 0:57:47 lr: 4.570640318162328e-05 loss: 0.1667 (0.1839) loss_seg: 0.1645 (0.1823) loss_lansim: 0.1389 (0.1416) loss_contra: 0.0039 (0.0274) time: 3.1788 data: 0.0064 max mem: 31630 Epoch: [3] [4220/5278] eta: 0:57:14 lr: 4.5704250316491345e-05 loss: 0.1670 (0.1840) loss_seg: 0.1653 (0.1823) loss_lansim: 0.1400 (0.1417) loss_contra: 0.0036 (0.0274) time: 3.1738 data: 0.0064 max mem: 31630 Epoch: [3] [4230/5278] eta: 0:56:41 lr: 4.570209744009167e-05 loss: 0.1691 (0.1840) loss_seg: 0.1667 (0.1823) loss_lansim: 0.1419 (0.1419) loss_contra: 0.0033 (0.0274) time: 3.1624 data: 0.0064 max mem: 31630 Epoch: [3] [4240/5278] eta: 0:56:09 lr: 4.56999445524236e-05 loss: 0.1691 (0.1839) loss_seg: 0.1667 (0.1822) loss_lansim: 0.1447 (0.1420) loss_contra: 0.0040 (0.0274) time: 3.1586 data: 0.0064 max mem: 31630 Epoch: [3] [4250/5278] eta: 0:55:36 lr: 4.569779165348649e-05 loss: 0.1655 (0.1839) loss_seg: 0.1639 (0.1822) loss_lansim: 0.1489 (0.1420) loss_contra: 0.0042 (0.0275) time: 3.1605 data: 0.0064 max mem: 31630 Epoch: [3] [4260/5278] eta: 0:55:03 lr: 4.5695638743279706e-05 loss: 0.1682 (0.1839) loss_seg: 0.1664 (0.1822) loss_lansim: 0.1489 (0.1420) loss_contra: 0.0051 (0.0275) time: 3.1660 data: 0.0064 max mem: 31630 Epoch: [3] [4270/5278] eta: 0:54:31 lr: 4.569348582180258e-05 loss: 0.1693 (0.1839) loss_seg: 0.1669 (0.1822) loss_lansim: 0.1447 (0.1419) loss_contra: 0.0073 (0.0279) time: 3.1583 data: 0.0063 max mem: 31630 Epoch: [3] [4280/5278] eta: 0:53:58 lr: 4.5691332889054463e-05 loss: 0.1693 (0.1838) loss_seg: 0.1669 (0.1821) loss_lansim: 0.1463 (0.1419) loss_contra: 0.0082 (0.0279) time: 3.1545 data: 0.0064 max mem: 31630 Epoch: [3] [4290/5278] eta: 0:53:26 lr: 4.568917994503472e-05 loss: 0.1706 (0.1838) loss_seg: 0.1686 (0.1821) loss_lansim: 0.1428 (0.1419) loss_contra: 0.0107 (0.0280) time: 3.1523 data: 0.0064 max mem: 31630 Epoch: [3] [4300/5278] eta: 0:52:53 lr: 4.5687026989742694e-05 loss: 0.1676 (0.1838) loss_seg: 0.1659 (0.1821) loss_lansim: 0.1419 (0.1419) loss_contra: 0.0119 (0.0280) time: 3.1560 data: 0.0064 max mem: 31630 Epoch: [3] [4310/5278] eta: 0:52:20 lr: 4.568487402317774e-05 loss: 0.1615 (0.1837) loss_seg: 0.1582 (0.1820) loss_lansim: 0.1379 (0.1418) loss_contra: 0.0152 (0.0282) time: 3.1562 data: 0.0064 max mem: 31630 Epoch: [3] [4320/5278] eta: 0:51:47 lr: 4.568272104533919e-05 loss: 0.1575 (0.1836) loss_seg: 0.1553 (0.1819) loss_lansim: 0.1344 (0.1418) loss_contra: 0.0183 (0.0282) time: 3.1555 data: 0.0064 max mem: 31630 Epoch: [3] [4330/5278] eta: 0:51:15 lr: 4.5680568056226416e-05 loss: 0.1573 (0.1835) loss_seg: 0.1552 (0.1818) loss_lansim: 0.1317 (0.1418) loss_contra: 0.0210 (0.0282) time: 3.1524 data: 0.0063 max mem: 31630 Epoch: [3] [4340/5278] eta: 0:50:42 lr: 4.567841505583877e-05 loss: 0.1583 (0.1835) loss_seg: 0.1566 (0.1818) loss_lansim: 0.1269 (0.1417) loss_contra: 0.0206 (0.0282) time: 3.1504 data: 0.0063 max mem: 31630 Epoch: [3] [4350/5278] eta: 0:50:10 lr: 4.567626204417559e-05 loss: 0.1594 (0.1835) loss_seg: 0.1576 (0.1818) loss_lansim: 0.1255 (0.1417) loss_contra: 0.0191 (0.0282) time: 3.1681 data: 0.0063 max mem: 31630 Epoch: [3] [4360/5278] eta: 0:49:37 lr: 4.567410902123623e-05 loss: 0.1586 (0.1835) loss_seg: 0.1570 (0.1818) loss_lansim: 0.1252 (0.1416) loss_contra: 0.0206 (0.0283) time: 3.1674 data: 0.0064 max mem: 31630 Epoch: [3] [4370/5278] eta: 0:49:05 lr: 4.567195598702004e-05 loss: 0.1556 (0.1834) loss_seg: 0.1542 (0.1817) loss_lansim: 0.1246 (0.1416) loss_contra: 0.0111 (0.0283) time: 3.1812 data: 0.0065 max mem: 31630 Epoch: [3] [4380/5278] eta: 0:48:32 lr: 4.566980294152637e-05 loss: 0.1559 (0.1834) loss_seg: 0.1542 (0.1817) loss_lansim: 0.1226 (0.1415) loss_contra: 0.0111 (0.0282) time: 3.1845 data: 0.0066 max mem: 31630 Epoch: [3] [4390/5278] eta: 0:48:00 lr: 4.5667649884754574e-05 loss: 0.1561 (0.1833) loss_seg: 0.1545 (0.1816) loss_lansim: 0.1217 (0.1415) loss_contra: 0.0103 (0.0282) time: 3.1843 data: 0.0067 max mem: 31630 Epoch: [3] [4400/5278] eta: 0:47:27 lr: 4.5665496816704e-05 loss: 0.1603 (0.1833) loss_seg: 0.1591 (0.1816) loss_lansim: 0.1219 (0.1415) loss_contra: 0.0087 (0.0282) time: 3.1887 data: 0.0067 max mem: 31630 Epoch: [3] [4410/5278] eta: 0:46:55 lr: 4.566334373737399e-05 loss: 0.1614 (0.1833) loss_seg: 0.1601 (0.1817) loss_lansim: 0.1219 (0.1414) loss_contra: 0.0055 (0.0282) time: 3.2070 data: 0.0069 max mem: 31630 Epoch: [3] [4420/5278] eta: 0:46:22 lr: 4.566119064676391e-05 loss: 0.1662 (0.1834) loss_seg: 0.1650 (0.1817) loss_lansim: 0.1226 (0.1414) loss_contra: 0.0054 (0.0281) time: 3.2219 data: 0.0070 max mem: 31630 Epoch: [3] [4430/5278] eta: 0:45:50 lr: 4.56590375448731e-05 loss: 0.1677 (0.1834) loss_seg: 0.1662 (0.1817) loss_lansim: 0.1245 (0.1414) loss_contra: 0.0055 (0.0282) time: 3.2210 data: 0.0071 max mem: 31630 Epoch: [3] [4440/5278] eta: 0:45:17 lr: 4.565688443170091e-05 loss: 0.1677 (0.1834) loss_seg: 0.1662 (0.1817) loss_lansim: 0.1259 (0.1414) loss_contra: 0.0053 (0.0282) time: 3.2243 data: 0.0071 max mem: 31630 Epoch: [3] [4450/5278] eta: 0:44:45 lr: 4.565473130724669e-05 loss: 0.1680 (0.1834) loss_seg: 0.1668 (0.1817) loss_lansim: 0.1266 (0.1414) loss_contra: 0.0047 (0.0281) time: 3.2232 data: 0.0072 max mem: 31630 Epoch: [3] [4460/5278] eta: 0:44:12 lr: 4.565257817150979e-05 loss: 0.1688 (0.1835) loss_seg: 0.1675 (0.1818) loss_lansim: 0.1295 (0.1414) loss_contra: 0.0044 (0.0281) time: 3.2300 data: 0.0073 max mem: 31630 Epoch: [3] [4470/5278] eta: 0:43:40 lr: 4.565042502448956e-05 loss: 0.1722 (0.1835) loss_seg: 0.1709 (0.1818) loss_lansim: 0.1341 (0.1415) loss_contra: 0.0047 (0.0281) time: 3.2216 data: 0.0072 max mem: 31630 Epoch: [3] [4480/5278] eta: 0:43:08 lr: 4.5648271866185354e-05 loss: 0.1748 (0.1836) loss_seg: 0.1728 (0.1819) loss_lansim: 0.1373 (0.1415) loss_contra: 0.0052 (0.0283) time: 3.2270 data: 0.0072 max mem: 31630 Epoch: [3] [4490/5278] eta: 0:42:35 lr: 4.564611869659652e-05 loss: 0.1722 (0.1835) loss_seg: 0.1709 (0.1818) loss_lansim: 0.1385 (0.1414) loss_contra: 0.0045 (0.0283) time: 3.2325 data: 0.0073 max mem: 31630 Epoch: [3] [4500/5278] eta: 0:42:03 lr: 4.5643965515722396e-05 loss: 0.1775 (0.1835) loss_seg: 0.1760 (0.1819) loss_lansim: 0.1392 (0.1414) loss_contra: 0.0045 (0.0283) time: 3.2307 data: 0.0073 max mem: 31630 Epoch: [3] [4510/5278] eta: 0:41:30 lr: 4.5641812323562344e-05 loss: 0.1763 (0.1835) loss_seg: 0.1747 (0.1818) loss_lansim: 0.1379 (0.1414) loss_contra: 0.0050 (0.0283) time: 3.2336 data: 0.0073 max mem: 31630 Epoch: [3] [4520/5278] eta: 0:40:58 lr: 4.5639659120115713e-05 loss: 0.1745 (0.1835) loss_seg: 0.1728 (0.1818) loss_lansim: 0.1373 (0.1414) loss_contra: 0.0045 (0.0282) time: 3.2383 data: 0.0072 max mem: 31630 Epoch: [3] [4530/5278] eta: 0:40:25 lr: 4.563750590538185e-05 loss: 0.1760 (0.1835) loss_seg: 0.1747 (0.1818) loss_lansim: 0.1359 (0.1414) loss_contra: 0.0043 (0.0282) time: 3.2408 data: 0.0072 max mem: 31630 Epoch: [3] [4540/5278] eta: 0:39:53 lr: 4.563535267936009e-05 loss: 0.1760 (0.1835) loss_seg: 0.1747 (0.1818) loss_lansim: 0.1341 (0.1413) loss_contra: 0.0052 (0.0282) time: 3.2367 data: 0.0072 max mem: 31630 Epoch: [3] [4550/5278] eta: 0:39:21 lr: 4.5633199442049805e-05 loss: 0.1745 (0.1835) loss_seg: 0.1728 (0.1818) loss_lansim: 0.1336 (0.1413) loss_contra: 0.0058 (0.0282) time: 3.2365 data: 0.0073 max mem: 31630 Epoch: [3] [4560/5278] eta: 0:38:48 lr: 4.5631046193450334e-05 loss: 0.1745 (0.1834) loss_seg: 0.1728 (0.1818) loss_lansim: 0.1295 (0.1412) loss_contra: 0.0064 (0.0282) time: 3.2424 data: 0.0073 max mem: 31630 Epoch: [3] [4570/5278] eta: 0:38:16 lr: 4.562889293356102e-05 loss: 0.1686 (0.1834) loss_seg: 0.1673 (0.1817) loss_lansim: 0.1281 (0.1412) loss_contra: 0.0043 (0.0281) time: 3.2397 data: 0.0073 max mem: 31630 Epoch: [3] [4580/5278] eta: 0:37:43 lr: 4.5626739662381216e-05 loss: 0.1745 (0.1834) loss_seg: 0.1730 (0.1818) loss_lansim: 0.1271 (0.1412) loss_contra: 0.0042 (0.0281) time: 3.2358 data: 0.0072 max mem: 31630 Epoch: [3] [4590/5278] eta: 0:37:11 lr: 4.562458637991028e-05 loss: 0.1762 (0.1835) loss_seg: 0.1747 (0.1818) loss_lansim: 0.1271 (0.1412) loss_contra: 0.0043 (0.0280) time: 3.2357 data: 0.0072 max mem: 31630 Epoch: [3] [4600/5278] eta: 0:36:38 lr: 4.562243308614755e-05 loss: 0.1766 (0.1836) loss_seg: 0.1752 (0.1819) loss_lansim: 0.1271 (0.1412) loss_contra: 0.0052 (0.0280) time: 3.2447 data: 0.0072 max mem: 31630 Epoch: [3] [4610/5278] eta: 0:36:06 lr: 4.562027978109237e-05 loss: 0.1795 (0.1837) loss_seg: 0.1778 (0.1820) loss_lansim: 0.1285 (0.1412) loss_contra: 0.0058 (0.0281) time: 3.2347 data: 0.0071 max mem: 31630 Epoch: [3] [4620/5278] eta: 0:35:33 lr: 4.561812646474411e-05 loss: 0.1795 (0.1837) loss_seg: 0.1782 (0.1820) loss_lansim: 0.1326 (0.1412) loss_contra: 0.0073 (0.0282) time: 3.2308 data: 0.0071 max mem: 31630 Epoch: [3] [4630/5278] eta: 0:35:01 lr: 4.561597313710209e-05 loss: 0.1774 (0.1836) loss_seg: 0.1755 (0.1819) loss_lansim: 0.1316 (0.1412) loss_contra: 0.0063 (0.0282) time: 3.2394 data: 0.0072 max mem: 31630 Epoch: [3] [4640/5278] eta: 0:34:28 lr: 4.5613819798165684e-05 loss: 0.1776 (0.1837) loss_seg: 0.1761 (0.1820) loss_lansim: 0.1326 (0.1411) loss_contra: 0.0073 (0.0282) time: 3.2235 data: 0.0071 max mem: 31630 Epoch: [3] [4650/5278] eta: 0:33:56 lr: 4.561166644793423e-05 loss: 0.1814 (0.1837) loss_seg: 0.1800 (0.1820) loss_lansim: 0.1321 (0.1411) loss_contra: 0.0087 (0.0283) time: 3.2133 data: 0.0069 max mem: 31630 Epoch: [3] [4660/5278] eta: 0:33:23 lr: 4.560951308640707e-05 loss: 0.1795 (0.1836) loss_seg: 0.1778 (0.1819) loss_lansim: 0.1316 (0.1411) loss_contra: 0.0102 (0.0283) time: 3.2089 data: 0.0069 max mem: 31630 Epoch: [3] [4670/5278] eta: 0:32:51 lr: 4.560735971358355e-05 loss: 0.1795 (0.1836) loss_seg: 0.1778 (0.1819) loss_lansim: 0.1326 (0.1410) loss_contra: 0.0122 (0.0283) time: 3.2106 data: 0.0069 max mem: 31630 Epoch: [3] [4680/5278] eta: 0:32:18 lr: 4.560520632946304e-05 loss: 0.1776 (0.1836) loss_seg: 0.1761 (0.1819) loss_lansim: 0.1310 (0.1410) loss_contra: 0.0111 (0.0283) time: 3.2008 data: 0.0070 max mem: 31630 Epoch: [3] [4690/5278] eta: 0:31:46 lr: 4.560305293404487e-05 loss: 0.1774 (0.1836) loss_seg: 0.1760 (0.1819) loss_lansim: 0.1291 (0.1410) loss_contra: 0.0140 (0.0283) time: 3.1896 data: 0.0069 max mem: 31630 Epoch: [3] [4700/5278] eta: 0:31:13 lr: 4.560089952732838e-05 loss: 0.1760 (0.1836) loss_seg: 0.1741 (0.1819) loss_lansim: 0.1281 (0.1409) loss_contra: 0.0114 (0.0283) time: 3.1831 data: 0.0069 max mem: 31630 Epoch: [3] [4710/5278] eta: 0:30:41 lr: 4.559874610931294e-05 loss: 0.1734 (0.1836) loss_seg: 0.1722 (0.1819) loss_lansim: 0.1277 (0.1409) loss_contra: 0.0120 (0.0283) time: 3.1817 data: 0.0068 max mem: 31630 Epoch: [3] [4720/5278] eta: 0:30:08 lr: 4.559659267999788e-05 loss: 0.1740 (0.1837) loss_seg: 0.1727 (0.1820) loss_lansim: 0.1270 (0.1409) loss_contra: 0.0120 (0.0283) time: 3.1789 data: 0.0068 max mem: 31630 Epoch: [3] [4730/5278] eta: 0:29:36 lr: 4.5594439239382575e-05 loss: 0.1761 (0.1836) loss_seg: 0.1746 (0.1819) loss_lansim: 0.1255 (0.1408) loss_contra: 0.0129 (0.0283) time: 3.1636 data: 0.0067 max mem: 31630 Epoch: [3] [4740/5278] eta: 0:29:03 lr: 4.559228578746634e-05 loss: 0.1734 (0.1836) loss_seg: 0.1717 (0.1819) loss_lansim: 0.1241 (0.1408) loss_contra: 0.0120 (0.0284) time: 3.1805 data: 0.0067 max mem: 31630 Epoch: [3] [4750/5278] eta: 0:28:31 lr: 4.559013232424853e-05 loss: 0.1709 (0.1835) loss_seg: 0.1696 (0.1818) loss_lansim: 0.1241 (0.1407) loss_contra: 0.0102 (0.0284) time: 3.1849 data: 0.0068 max mem: 31630 Epoch: [3] [4760/5278] eta: 0:27:58 lr: 4.558797884972851e-05 loss: 0.1734 (0.1836) loss_seg: 0.1717 (0.1819) loss_lansim: 0.1231 (0.1407) loss_contra: 0.0097 (0.0284) time: 3.1773 data: 0.0067 max mem: 31630 Epoch: [3] [4770/5278] eta: 0:27:26 lr: 4.55858253639056e-05 loss: 0.1752 (0.1836) loss_seg: 0.1739 (0.1819) loss_lansim: 0.1213 (0.1406) loss_contra: 0.0098 (0.0284) time: 3.1796 data: 0.0067 max mem: 31630 Epoch: [3] [4780/5278] eta: 0:26:54 lr: 4.558367186677917e-05 loss: 0.1759 (0.1836) loss_seg: 0.1741 (0.1819) loss_lansim: 0.1211 (0.1406) loss_contra: 0.0097 (0.0284) time: 3.1853 data: 0.0066 max mem: 31630 Epoch: [3] [4790/5278] eta: 0:26:21 lr: 4.5581518358348564e-05 loss: 0.1736 (0.1836) loss_seg: 0.1722 (0.1819) loss_lansim: 0.1213 (0.1406) loss_contra: 0.0098 (0.0284) time: 3.1880 data: 0.0066 max mem: 31630 Epoch: [3] [4800/5278] eta: 0:25:49 lr: 4.557936483861312e-05 loss: 0.1729 (0.1836) loss_seg: 0.1714 (0.1819) loss_lansim: 0.1200 (0.1405) loss_contra: 0.0113 (0.0284) time: 3.1838 data: 0.0065 max mem: 31630 Epoch: [3] [4810/5278] eta: 0:25:16 lr: 4.5577211307572196e-05 loss: 0.1709 (0.1836) loss_seg: 0.1696 (0.1819) loss_lansim: 0.1213 (0.1405) loss_contra: 0.0118 (0.0285) time: 3.1863 data: 0.0066 max mem: 31630 Epoch: [3] [4820/5278] eta: 0:24:44 lr: 4.557505776522513e-05 loss: 0.1663 (0.1835) loss_seg: 0.1650 (0.1818) loss_lansim: 0.1219 (0.1405) loss_contra: 0.0118 (0.0285) time: 3.1809 data: 0.0065 max mem: 31630 Epoch: [3] [4830/5278] eta: 0:24:11 lr: 4.557290421157127e-05 loss: 0.1663 (0.1835) loss_seg: 0.1650 (0.1818) loss_lansim: 0.1232 (0.1405) loss_contra: 0.0109 (0.0285) time: 3.1877 data: 0.0066 max mem: 31630 Epoch: [3] [4840/5278] eta: 0:23:39 lr: 4.5570750646609974e-05 loss: 0.1709 (0.1835) loss_seg: 0.1696 (0.1818) loss_lansim: 0.1257 (0.1405) loss_contra: 0.0098 (0.0285) time: 3.1815 data: 0.0067 max mem: 31630 Epoch: [3] [4850/5278] eta: 0:23:06 lr: 4.556859707034058e-05 loss: 0.1759 (0.1835) loss_seg: 0.1747 (0.1818) loss_lansim: 0.1280 (0.1405) loss_contra: 0.0109 (0.0285) time: 3.1840 data: 0.0067 max mem: 31630 Epoch: [3] [4860/5278] eta: 0:22:34 lr: 4.5566443482762426e-05 loss: 0.1722 (0.1835) loss_seg: 0.1705 (0.1818) loss_lansim: 0.1288 (0.1405) loss_contra: 0.0113 (0.0285) time: 3.1928 data: 0.0067 max mem: 31630 Epoch: [3] [4870/5278] eta: 0:22:01 lr: 4.556428988387487e-05 loss: 0.1722 (0.1835) loss_seg: 0.1705 (0.1818) loss_lansim: 0.1301 (0.1404) loss_contra: 0.0095 (0.0284) time: 3.1911 data: 0.0067 max mem: 31630 Epoch: [3] [4880/5278] eta: 0:21:29 lr: 4.556213627367726e-05 loss: 0.1686 (0.1835) loss_seg: 0.1669 (0.1818) loss_lansim: 0.1323 (0.1404) loss_contra: 0.0083 (0.0284) time: 3.1804 data: 0.0067 max mem: 31630 Epoch: [3] [4890/5278] eta: 0:20:56 lr: 4.555998265216895e-05 loss: 0.1696 (0.1835) loss_seg: 0.1678 (0.1818) loss_lansim: 0.1337 (0.1404) loss_contra: 0.0081 (0.0283) time: 3.1803 data: 0.0067 max mem: 31630 Epoch: [3] [4900/5278] eta: 0:20:24 lr: 4.555782901934926e-05 loss: 0.1722 (0.1835) loss_seg: 0.1682 (0.1818) loss_lansim: 0.1350 (0.1404) loss_contra: 0.0071 (0.0284) time: 3.1773 data: 0.0068 max mem: 31630 Epoch: [3] [4910/5278] eta: 0:19:52 lr: 4.555567537521756e-05 loss: 0.1722 (0.1834) loss_seg: 0.1692 (0.1817) loss_lansim: 0.1364 (0.1404) loss_contra: 0.0069 (0.0283) time: 3.1676 data: 0.0069 max mem: 31630 Epoch: [3] [4920/5278] eta: 0:19:19 lr: 4.555352171977318e-05 loss: 0.1722 (0.1834) loss_seg: 0.1692 (0.1817) loss_lansim: 0.1359 (0.1404) loss_contra: 0.0058 (0.0283) time: 3.1620 data: 0.0069 max mem: 31630 Epoch: [3] [4930/5278] eta: 0:18:47 lr: 4.5551368053015485e-05 loss: 0.1700 (0.1833) loss_seg: 0.1682 (0.1817) loss_lansim: 0.1364 (0.1404) loss_contra: 0.0058 (0.0283) time: 3.1517 data: 0.0069 max mem: 31630 Epoch: [3] [4940/5278] eta: 0:18:14 lr: 4.554921437494381e-05 loss: 0.1696 (0.1834) loss_seg: 0.1678 (0.1817) loss_lansim: 0.1383 (0.1404) loss_contra: 0.0055 (0.0284) time: 3.1507 data: 0.0068 max mem: 31630 Epoch: [3] [4950/5278] eta: 0:17:42 lr: 4.5547060685557493e-05 loss: 0.1679 (0.1833) loss_seg: 0.1663 (0.1816) loss_lansim: 0.1364 (0.1404) loss_contra: 0.0048 (0.0284) time: 3.1392 data: 0.0068 max mem: 31630 Epoch: [3] [4960/5278] eta: 0:17:09 lr: 4.55449069848559e-05 loss: 0.1700 (0.1833) loss_seg: 0.1682 (0.1816) loss_lansim: 0.1336 (0.1404) loss_contra: 0.0054 (0.0285) time: 3.1320 data: 0.0068 max mem: 31630 Epoch: [3] [4970/5278] eta: 0:16:37 lr: 4.554275327283837e-05 loss: 0.1692 (0.1833) loss_seg: 0.1673 (0.1816) loss_lansim: 0.1359 (0.1403) loss_contra: 0.0055 (0.0285) time: 3.1209 data: 0.0068 max mem: 31630 Epoch: [3] [4980/5278] eta: 0:16:04 lr: 4.5540599549504235e-05 loss: 0.1692 (0.1832) loss_seg: 0.1673 (0.1815) loss_lansim: 0.1359 (0.1403) loss_contra: 0.0062 (0.0285) time: 3.1226 data: 0.0068 max mem: 31630 Epoch: [3] [4990/5278] eta: 0:15:32 lr: 4.553844581485285e-05 loss: 0.1670 (0.1832) loss_seg: 0.1657 (0.1815) loss_lansim: 0.1331 (0.1403) loss_contra: 0.0065 (0.0285) time: 3.1120 data: 0.0068 max mem: 31630 Epoch: [3] [5000/5278] eta: 0:14:59 lr: 4.553629206888358e-05 loss: 0.1680 (0.1833) loss_seg: 0.1663 (0.1816) loss_lansim: 0.1335 (0.1403) loss_contra: 0.0071 (0.0286) time: 3.1109 data: 0.0068 max mem: 31630 Epoch: [3] [5010/5278] eta: 0:14:27 lr: 4.553413831159573e-05 loss: 0.1667 (0.1833) loss_seg: 0.1651 (0.1816) loss_lansim: 0.1331 (0.1403) loss_contra: 0.0074 (0.0286) time: 3.1139 data: 0.0068 max mem: 31630 Epoch: [3] [5020/5278] eta: 0:13:55 lr: 4.553198454298868e-05 loss: 0.1696 (0.1834) loss_seg: 0.1678 (0.1817) loss_lansim: 0.1336 (0.1403) loss_contra: 0.0089 (0.0286) time: 3.1168 data: 0.0067 max mem: 31630 Epoch: [3] [5030/5278] eta: 0:13:22 lr: 4.552983076306177e-05 loss: 0.1713 (0.1834) loss_seg: 0.1695 (0.1818) loss_lansim: 0.1359 (0.1404) loss_contra: 0.0100 (0.0286) time: 3.1211 data: 0.0067 max mem: 31630 Epoch: [3] [5040/5278] eta: 0:12:50 lr: 4.5527676971814326e-05 loss: 0.1720 (0.1835) loss_seg: 0.1701 (0.1818) loss_lansim: 0.1371 (0.1404) loss_contra: 0.0114 (0.0287) time: 3.1243 data: 0.0067 max mem: 31630 Epoch: [3] [5050/5278] eta: 0:12:17 lr: 4.552552316924572e-05 loss: 0.1720 (0.1835) loss_seg: 0.1696 (0.1818) loss_lansim: 0.1402 (0.1404) loss_contra: 0.0105 (0.0287) time: 3.1359 data: 0.0067 max mem: 31630 Epoch: [3] [5060/5278] eta: 0:11:45 lr: 4.552336935535528e-05 loss: 0.1720 (0.1835) loss_seg: 0.1696 (0.1818) loss_lansim: 0.1428 (0.1405) loss_contra: 0.0087 (0.0286) time: 3.1383 data: 0.0067 max mem: 31630 Epoch: [3] [5070/5278] eta: 0:11:13 lr: 4.552121553014235e-05 loss: 0.1700 (0.1835) loss_seg: 0.1685 (0.1818) loss_lansim: 0.1434 (0.1405) loss_contra: 0.0088 (0.0286) time: 3.1516 data: 0.0067 max mem: 31630 Epoch: [3] [5080/5278] eta: 0:10:40 lr: 4.551906169360629e-05 loss: 0.1713 (0.1835) loss_seg: 0.1695 (0.1818) loss_lansim: 0.1457 (0.1405) loss_contra: 0.0100 (0.0287) time: 3.1532 data: 0.0067 max mem: 31630 Epoch: [3] [5090/5278] eta: 0:10:08 lr: 4.551690784574642e-05 loss: 0.1723 (0.1835) loss_seg: 0.1709 (0.1818) loss_lansim: 0.1458 (0.1405) loss_contra: 0.0101 (0.0287) time: 3.1691 data: 0.0067 max mem: 31630 Epoch: [3] [5100/5278] eta: 0:09:35 lr: 4.551475398656213e-05 loss: 0.1713 (0.1835) loss_seg: 0.1696 (0.1818) loss_lansim: 0.1444 (0.1404) loss_contra: 0.0101 (0.0287) time: 3.1755 data: 0.0066 max mem: 31630 Epoch: [3] [5110/5278] eta: 0:09:03 lr: 4.551260011605271e-05 loss: 0.1729 (0.1835) loss_seg: 0.1712 (0.1818) loss_lansim: 0.1421 (0.1404) loss_contra: 0.0101 (0.0287) time: 3.1784 data: 0.0066 max mem: 31630 Epoch: [3] [5120/5278] eta: 0:08:31 lr: 4.551044623421754e-05 loss: 0.1744 (0.1835) loss_seg: 0.1725 (0.1818) loss_lansim: 0.1420 (0.1404) loss_contra: 0.0088 (0.0287) time: 3.1842 data: 0.0066 max mem: 31630 Epoch: [3] [5130/5278] eta: 0:07:58 lr: 4.550829234105596e-05 loss: 0.1744 (0.1836) loss_seg: 0.1725 (0.1819) loss_lansim: 0.1405 (0.1404) loss_contra: 0.0086 (0.0287) time: 3.1889 data: 0.0065 max mem: 31630 Epoch: [3] [5140/5278] eta: 0:07:26 lr: 4.5506138436567305e-05 loss: 0.1701 (0.1836) loss_seg: 0.1685 (0.1819) loss_lansim: 0.1386 (0.1404) loss_contra: 0.0082 (0.0286) time: 3.1957 data: 0.0065 max mem: 31630 Epoch: [3] [5150/5278] eta: 0:06:54 lr: 4.550398452075093e-05 loss: 0.1702 (0.1836) loss_seg: 0.1688 (0.1819) loss_lansim: 0.1378 (0.1404) loss_contra: 0.0085 (0.0286) time: 3.1911 data: 0.0065 max mem: 31630 Epoch: [3] [5160/5278] eta: 0:06:21 lr: 4.550183059360617e-05 loss: 0.1701 (0.1835) loss_seg: 0.1685 (0.1818) loss_lansim: 0.1374 (0.1404) loss_contra: 0.0094 (0.0286) time: 3.1916 data: 0.0065 max mem: 31630 Epoch: [3] [5170/5278] eta: 0:05:49 lr: 4.5499676655132376e-05 loss: 0.1701 (0.1835) loss_seg: 0.1688 (0.1818) loss_lansim: 0.1362 (0.1404) loss_contra: 0.0086 (0.0286) time: 3.1961 data: 0.0064 max mem: 31630 Epoch: [3] [5180/5278] eta: 0:05:17 lr: 4.54975227053289e-05 loss: 0.1764 (0.1836) loss_seg: 0.1748 (0.1819) loss_lansim: 0.1329 (0.1404) loss_contra: 0.0070 (0.0286) time: 3.1948 data: 0.0065 max mem: 31630 Epoch: [3] [5190/5278] eta: 0:04:44 lr: 4.5495368744195074e-05 loss: 0.1764 (0.1836) loss_seg: 0.1751 (0.1820) loss_lansim: 0.1319 (0.1403) loss_contra: 0.0069 (0.0286) time: 3.1878 data: 0.0065 max mem: 31630 Epoch: [3] [5200/5278] eta: 0:04:12 lr: 4.549321477173024e-05 loss: 0.1764 (0.1836) loss_seg: 0.1751 (0.1819) loss_lansim: 0.1324 (0.1403) loss_contra: 0.0069 (0.0285) time: 3.1855 data: 0.0065 max mem: 31630 Epoch: [3] [5210/5278] eta: 0:03:39 lr: 4.549106078793375e-05 loss: 0.1711 (0.1836) loss_seg: 0.1697 (0.1819) loss_lansim: 0.1329 (0.1403) loss_contra: 0.0072 (0.0285) time: 3.1893 data: 0.0066 max mem: 31630 Epoch: [3] [5220/5278] eta: 0:03:07 lr: 4.548890679280495e-05 loss: 0.1711 (0.1836) loss_seg: 0.1697 (0.1819) loss_lansim: 0.1333 (0.1403) loss_contra: 0.0072 (0.0285) time: 3.1893 data: 0.0066 max mem: 31630 Epoch: [3] [5230/5278] eta: 0:02:35 lr: 4.548675278634319e-05 loss: 0.1756 (0.1837) loss_seg: 0.1739 (0.1820) loss_lansim: 0.1338 (0.1403) loss_contra: 0.0069 (0.0285) time: 3.1876 data: 0.0066 max mem: 31630 Epoch: [3] [5240/5278] eta: 0:02:02 lr: 4.5484598768547785e-05 loss: 0.1785 (0.1837) loss_seg: 0.1766 (0.1820) loss_lansim: 0.1328 (0.1403) loss_contra: 0.0084 (0.0286) time: 3.1817 data: 0.0067 max mem: 31630 Epoch: [3] [5250/5278] eta: 0:01:30 lr: 4.5482444739418106e-05 loss: 0.1786 (0.1838) loss_seg: 0.1774 (0.1821) loss_lansim: 0.1315 (0.1403) loss_contra: 0.0084 (0.0285) time: 3.1821 data: 0.0067 max mem: 31630 Epoch: [3] [5260/5278] eta: 0:00:58 lr: 4.54802906989535e-05 loss: 0.1969 (0.1838) loss_seg: 0.1950 (0.1821) loss_lansim: 0.1315 (0.1403) loss_contra: 0.0081 (0.0285) time: 3.1825 data: 0.0068 max mem: 31630 Epoch: [3] [5270/5278] eta: 0:00:25 lr: 4.547813664715328e-05 loss: 0.1972 (0.1839) loss_seg: 0.1958 (0.1822) loss_lansim: 0.1328 (0.1403) loss_contra: 0.0072 (0.0285) time: 3.1766 data: 0.0068 max mem: 31630 Epoch: [3] Total time: 4:44:30 Test: [ 0/2573] eta: 1:25:57 time: 2.0046 data: 1.8372 max mem: 31630 Test: [ 100/2573] eta: 0:07:08 time: 0.1548 data: 0.0016 max mem: 31630 Test: [ 200/2573] eta: 0:06:32 time: 0.1574 data: 0.0018 max mem: 31630 Test: [ 300/2573] eta: 0:06:06 time: 0.1528 data: 0.0018 max mem: 31630 Test: [ 400/2573] eta: 0:05:46 time: 0.1543 data: 0.0018 max mem: 31630 Test: [ 500/2573] eta: 0:05:29 time: 0.1567 data: 0.0018 max mem: 31630 Test: [ 600/2573] eta: 0:05:12 time: 0.1570 data: 0.0018 max mem: 31630 Test: [ 700/2573] eta: 0:04:58 time: 0.1651 data: 0.0019 max mem: 31630 Test: [ 800/2573] eta: 0:04:42 time: 0.1592 data: 0.0018 max mem: 31630 Test: [ 900/2573] eta: 0:04:26 time: 0.1583 data: 0.0018 max mem: 31630 Test: [1000/2573] eta: 0:04:09 time: 0.1538 data: 0.0018 max mem: 31630 Test: [1100/2573] eta: 0:03:53 time: 0.1533 data: 0.0018 max mem: 31630 Test: [1200/2573] eta: 0:03:36 time: 0.1542 data: 0.0018 max mem: 31630 Test: [1300/2573] eta: 0:03:20 time: 0.1517 data: 0.0018 max mem: 31630 Test: [1400/2573] eta: 0:03:04 time: 0.1496 data: 0.0018 max mem: 31630 Test: [1500/2573] eta: 0:02:47 time: 0.1484 data: 0.0017 max mem: 31630 Test: [1600/2573] eta: 0:02:31 time: 0.1483 data: 0.0017 max mem: 31630 Test: [1700/2573] eta: 0:02:15 time: 0.1542 data: 0.0018 max mem: 31630 Test: [1800/2573] eta: 0:02:00 time: 0.1533 data: 0.0019 max mem: 31630 Test: [1900/2573] eta: 0:01:44 time: 0.1506 data: 0.0018 max mem: 31630 Test: [2000/2573] eta: 0:01:28 time: 0.1502 data: 0.0018 max mem: 31630 Test: [2100/2573] eta: 0:01:13 time: 0.1534 data: 0.0018 max mem: 31630 Test: [2200/2573] eta: 0:00:57 time: 0.1506 data: 0.0018 max mem: 31630 Test: [2300/2573] eta: 0:00:42 time: 0.1526 data: 0.0017 max mem: 31630 Test: [2400/2573] eta: 0:00:26 time: 0.1541 data: 0.0018 max mem: 31630 Test: [2500/2573] eta: 0:00:11 time: 0.1537 data: 0.0018 max mem: 31630 Test: Total time: 0:06:38 Final results: precision@0.5 = 42.93 precision@0.6 = 36.42 precision@0.7 = 28.35 precision@0.8 = 18.55 precision@0.9 = 6.11 overall IoU = 42.64 mean IoU = 39.38 Better epoch: 3 The best_performance is 42.638125114155734 Epoch: [4] [ 0/5278] eta: 7:27:48 lr: 4.547641339755105e-05 loss: 0.1665 (0.1665) loss_seg: 0.1652 (0.1652) loss_lansim: 0.1290 (0.1290) loss_contra: 0.0005 (0.0005) time: 5.0907 data: 1.7508 max mem: 31630 Epoch: [4] [ 10/5278] eta: 4:54:03 lr: 4.5474259325345125e-05 loss: 0.1665 (0.1668) loss_seg: 0.1652 (0.1650) loss_lansim: 0.1321 (0.1354) loss_contra: 0.0079 (0.0465) time: 3.3493 data: 0.1634 max mem: 31630 Epoch: [4] [ 20/5278] eta: 4:44:29 lr: 4.547210524180176e-05 loss: 0.1739 (0.1756) loss_seg: 0.1723 (0.1736) loss_lansim: 0.1304 (0.1334) loss_contra: 0.0159 (0.0608) time: 3.2463 data: 0.0881 max mem: 31630 Epoch: [4] [ 30/5278] eta: 4:40:28 lr: 4.5469951146920314e-05 loss: 0.1739 (0.1730) loss_seg: 0.1723 (0.1712) loss_lansim: 0.1298 (0.1322) loss_contra: 0.0159 (0.0491) time: 3.2066 data: 0.0616 max mem: 31630 Epoch: [4] [ 40/5278] eta: 4:39:36 lr: 4.546779704070013e-05 loss: 0.1666 (0.1729) loss_seg: 0.1652 (0.1711) loss_lansim: 0.1304 (0.1340) loss_contra: 0.0143 (0.0438) time: 3.2029 data: 0.0481 max mem: 31630 Epoch: [4] [ 50/5278] eta: 4:38:12 lr: 4.5465642923140533e-05 loss: 0.1631 (0.1674) loss_seg: 0.1609 (0.1656) loss_lansim: 0.1300 (0.1340) loss_contra: 0.0110 (0.0392) time: 3.1929 data: 0.0398 max mem: 31630 Epoch: [4] [ 60/5278] eta: 4:37:19 lr: 4.5463488794240883e-05 loss: 0.1600 (0.1663) loss_seg: 0.1585 (0.1646) loss_lansim: 0.1304 (0.1344) loss_contra: 0.0079 (0.0351) time: 3.1890 data: 0.0342 max mem: 31630 Epoch: [4] [ 70/5278] eta: 4:36:47 lr: 4.546133465400052e-05 loss: 0.1540 (0.1632) loss_seg: 0.1526 (0.1616) loss_lansim: 0.1310 (0.1346) loss_contra: 0.0067 (0.0310) time: 3.1889 data: 0.0302 max mem: 31630 Epoch: [4] [ 80/5278] eta: 4:35:33 lr: 4.545918050241878e-05 loss: 0.1525 (0.1602) loss_seg: 0.1511 (0.1586) loss_lansim: 0.1304 (0.1345) loss_contra: 0.0057 (0.0275) time: 3.1808 data: 0.0272 max mem: 31630 Epoch: [4] [ 90/5278] eta: 4:34:39 lr: 4.545702633949503e-05 loss: 0.1538 (0.1616) loss_seg: 0.1524 (0.1600) loss_lansim: 0.1320 (0.1358) loss_contra: 0.0054 (0.0254) time: 3.1765 data: 0.0249 max mem: 31630 Epoch: [4] [ 100/5278] eta: 4:34:09 lr: 4.5454872165228577e-05 loss: 0.1538 (0.1626) loss_seg: 0.1524 (0.1610) loss_lansim: 0.1325 (0.1362) loss_contra: 0.0054 (0.0242) time: 3.1577 data: 0.0057 max mem: 31630 Epoch: [4] [ 110/5278] eta: 4:33:24 lr: 4.545271797961879e-05 loss: 0.1540 (0.1637) loss_seg: 0.1526 (0.1621) loss_lansim: 0.1343 (0.1371) loss_contra: 0.0042 (0.0228) time: 3.1551 data: 0.0059 max mem: 31630 Epoch: [4] [ 120/5278] eta: 4:32:55 lr: 4.5450563782665e-05 loss: 0.1525 (0.1630) loss_seg: 0.1511 (0.1614) loss_lansim: 0.1364 (0.1371) loss_contra: 0.0035 (0.0214) time: 3.1598 data: 0.0060 max mem: 31630 Epoch: [4] [ 130/5278] eta: 4:31:51 lr: 4.544840957436657e-05 loss: 0.1534 (0.1632) loss_seg: 0.1521 (0.1616) loss_lansim: 0.1367 (0.1368) loss_contra: 0.0029 (0.0207) time: 3.1566 data: 0.0059 max mem: 31630 Epoch: [4] [ 140/5278] eta: 4:31:31 lr: 4.544625535472281e-05 loss: 0.1540 (0.1624) loss_seg: 0.1526 (0.1608) loss_lansim: 0.1369 (0.1370) loss_contra: 0.0028 (0.0197) time: 3.1576 data: 0.0059 max mem: 31630 Epoch: [4] [ 150/5278] eta: 4:30:32 lr: 4.5444101123733086e-05 loss: 0.1558 (0.1639) loss_seg: 0.1544 (0.1624) loss_lansim: 0.1383 (0.1376) loss_contra: 0.0033 (0.0200) time: 3.1515 data: 0.0060 max mem: 31630 Epoch: [4] [ 160/5278] eta: 4:30:04 lr: 4.544194688139674e-05 loss: 0.1555 (0.1645) loss_seg: 0.1542 (0.1629) loss_lansim: 0.1405 (0.1384) loss_contra: 0.0038 (0.0205) time: 3.1522 data: 0.0059 max mem: 31630 Epoch: [4] [ 170/5278] eta: 4:29:39 lr: 4.54397926277131e-05 loss: 0.1580 (0.1644) loss_seg: 0.1565 (0.1628) loss_lansim: 0.1409 (0.1388) loss_contra: 0.0038 (0.0205) time: 3.1521 data: 0.0060 max mem: 31630 Epoch: [4] [ 180/5278] eta: 4:28:57 lr: 4.5437638362681514e-05 loss: 0.1587 (0.1641) loss_seg: 0.1569 (0.1625) loss_lansim: 0.1422 (0.1387) loss_contra: 0.0044 (0.0202) time: 3.1529 data: 0.0059 max mem: 31630 Epoch: [4] [ 190/5278] eta: 4:28:09 lr: 4.543548408630134e-05 loss: 0.1559 (0.1638) loss_seg: 0.1544 (0.1622) loss_lansim: 0.1408 (0.1387) loss_contra: 0.0051 (0.0203) time: 3.1492 data: 0.0060 max mem: 31630 Epoch: [4] [ 200/5278] eta: 4:27:33 lr: 4.54333297985719e-05 loss: 0.1559 (0.1647) loss_seg: 0.1544 (0.1631) loss_lansim: 0.1387 (0.1382) loss_contra: 0.0045 (0.0204) time: 3.1458 data: 0.0060 max mem: 31630 Epoch: [4] [ 210/5278] eta: 4:27:08 lr: 4.543117549949255e-05 loss: 0.1559 (0.1643) loss_seg: 0.1544 (0.1627) loss_lansim: 0.1385 (0.1383) loss_contra: 0.0059 (0.0214) time: 3.1498 data: 0.0060 max mem: 31630 Epoch: [4] [ 220/5278] eta: 4:26:28 lr: 4.5429021189062625e-05 loss: 0.1559 (0.1636) loss_seg: 0.1544 (0.1620) loss_lansim: 0.1382 (0.1384) loss_contra: 0.0061 (0.0213) time: 3.1442 data: 0.0060 max mem: 31630 Epoch: [4] [ 230/5278] eta: 4:25:48 lr: 4.5426866867281464e-05 loss: 0.1559 (0.1640) loss_seg: 0.1542 (0.1624) loss_lansim: 0.1393 (0.1385) loss_contra: 0.0071 (0.0212) time: 3.1476 data: 0.0060 max mem: 31630 Epoch: [4] [ 240/5278] eta: 4:25:23 lr: 4.5424712534148414e-05 loss: 0.1538 (0.1630) loss_seg: 0.1519 (0.1614) loss_lansim: 0.1393 (0.1385) loss_contra: 0.0075 (0.0225) time: 3.1466 data: 0.0060 max mem: 31630 Epoch: [4] [ 250/5278] eta: 4:24:59 lr: 4.5422558189662826e-05 loss: 0.1555 (0.1638) loss_seg: 0.1540 (0.1622) loss_lansim: 0.1385 (0.1386) loss_contra: 0.0071 (0.0238) time: 3.1574 data: 0.0060 max mem: 31630 Epoch: [4] [ 260/5278] eta: 4:24:25 lr: 4.5420403833824036e-05 loss: 0.1555 (0.1634) loss_seg: 0.1540 (0.1618) loss_lansim: 0.1369 (0.1385) loss_contra: 0.0071 (0.0235) time: 3.1544 data: 0.0061 max mem: 31630 Epoch: [4] [ 270/5278] eta: 4:23:55 lr: 4.541824946663137e-05 loss: 0.1559 (0.1637) loss_seg: 0.1540 (0.1620) loss_lansim: 0.1357 (0.1382) loss_contra: 0.0090 (0.0247) time: 3.1528 data: 0.0061 max mem: 31630 Epoch: [4] [ 280/5278] eta: 4:23:19 lr: 4.541609508808418e-05 loss: 0.1521 (0.1638) loss_seg: 0.1506 (0.1622) loss_lansim: 0.1352 (0.1380) loss_contra: 0.0100 (0.0245) time: 3.1533 data: 0.0061 max mem: 31630 Epoch: [4] [ 290/5278] eta: 4:22:41 lr: 4.541394069818182e-05 loss: 0.1568 (0.1641) loss_seg: 0.1555 (0.1624) loss_lansim: 0.1348 (0.1379) loss_contra: 0.0100 (0.0245) time: 3.1553 data: 0.0061 max mem: 31630 Epoch: [4] [ 300/5278] eta: 4:22:12 lr: 4.541178629692362e-05 loss: 0.1568 (0.1646) loss_seg: 0.1555 (0.1630) loss_lansim: 0.1348 (0.1377) loss_contra: 0.0098 (0.0240) time: 3.1584 data: 0.0061 max mem: 31630 Epoch: [4] [ 310/5278] eta: 4:21:33 lr: 4.540963188430892e-05 loss: 0.1537 (0.1653) loss_seg: 0.1525 (0.1637) loss_lansim: 0.1344 (0.1376) loss_contra: 0.0098 (0.0249) time: 3.1508 data: 0.0061 max mem: 31630 Epoch: [4] [ 320/5278] eta: 4:20:56 lr: 4.540747746033707e-05 loss: 0.1575 (0.1660) loss_seg: 0.1558 (0.1643) loss_lansim: 0.1344 (0.1377) loss_contra: 0.0085 (0.0253) time: 3.1511 data: 0.0061 max mem: 31630 Epoch: [4] [ 330/5278] eta: 4:20:31 lr: 4.54053230250074e-05 loss: 0.1584 (0.1663) loss_seg: 0.1564 (0.1647) loss_lansim: 0.1327 (0.1373) loss_contra: 0.0063 (0.0249) time: 3.1584 data: 0.0061 max mem: 31630 Epoch: [4] [ 340/5278] eta: 4:20:02 lr: 4.540316857831926e-05 loss: 0.1594 (0.1661) loss_seg: 0.1578 (0.1645) loss_lansim: 0.1327 (0.1371) loss_contra: 0.0063 (0.0246) time: 3.1570 data: 0.0061 max mem: 31630 Epoch: [4] [ 350/5278] eta: 4:19:36 lr: 4.540101412027199e-05 loss: 0.1590 (0.1674) loss_seg: 0.1575 (0.1658) loss_lansim: 0.1328 (0.1371) loss_contra: 0.0077 (0.0246) time: 3.1568 data: 0.0061 max mem: 31630 Epoch: [4] [ 360/5278] eta: 4:19:00 lr: 4.539885965086492e-05 loss: 0.1590 (0.1673) loss_seg: 0.1575 (0.1656) loss_lansim: 0.1335 (0.1371) loss_contra: 0.0079 (0.0249) time: 3.1554 data: 0.0061 max mem: 31630 Epoch: [4] [ 370/5278] eta: 4:18:34 lr: 4.5396705170097415e-05 loss: 0.1593 (0.1688) loss_seg: 0.1578 (0.1672) loss_lansim: 0.1351 (0.1373) loss_contra: 0.0075 (0.0253) time: 3.1586 data: 0.0060 max mem: 31630 Epoch: [4] [ 380/5278] eta: 4:18:07 lr: 4.5394550677968794e-05 loss: 0.1656 (0.1695) loss_seg: 0.1643 (0.1679) loss_lansim: 0.1360 (0.1377) loss_contra: 0.0072 (0.0249) time: 3.1644 data: 0.0060 max mem: 31630 Epoch: [4] [ 390/5278] eta: 4:17:34 lr: 4.539239617447841e-05 loss: 0.1612 (0.1694) loss_seg: 0.1598 (0.1677) loss_lansim: 0.1383 (0.1385) loss_contra: 0.0087 (0.0279) time: 3.1674 data: 0.0060 max mem: 31630 Epoch: [4] [ 400/5278] eta: 4:17:04 lr: 4.5390241659625597e-05 loss: 0.1634 (0.1696) loss_seg: 0.1620 (0.1679) loss_lansim: 0.1417 (0.1387) loss_contra: 0.0127 (0.0285) time: 3.1670 data: 0.0060 max mem: 31630 Epoch: [4] [ 410/5278] eta: 4:16:35 lr: 4.538808713340969e-05 loss: 0.1656 (0.1697) loss_seg: 0.1643 (0.1680) loss_lansim: 0.1419 (0.1387) loss_contra: 0.0127 (0.0287) time: 3.1739 data: 0.0060 max mem: 31630 Epoch: [4] [ 420/5278] eta: 4:16:06 lr: 4.538593259583006e-05 loss: 0.1703 (0.1702) loss_seg: 0.1687 (0.1685) loss_lansim: 0.1403 (0.1386) loss_contra: 0.0128 (0.0296) time: 3.1803 data: 0.0061 max mem: 31630 Epoch: [4] [ 430/5278] eta: 4:15:37 lr: 4.538377804688601e-05 loss: 0.1649 (0.1704) loss_seg: 0.1636 (0.1687) loss_lansim: 0.1403 (0.1384) loss_contra: 0.0140 (0.0300) time: 3.1788 data: 0.0061 max mem: 31630 Epoch: [4] [ 440/5278] eta: 4:15:07 lr: 4.53816234865769e-05 loss: 0.1703 (0.1704) loss_seg: 0.1687 (0.1688) loss_lansim: 0.1401 (0.1382) loss_contra: 0.0135 (0.0308) time: 3.1784 data: 0.0062 max mem: 31630 Epoch: [4] [ 450/5278] eta: 4:14:37 lr: 4.5379468914902066e-05 loss: 0.1645 (0.1709) loss_seg: 0.1631 (0.1692) loss_lansim: 0.1389 (0.1379) loss_contra: 0.0127 (0.0315) time: 3.1769 data: 0.0062 max mem: 31630 Epoch: [4] [ 460/5278] eta: 4:14:04 lr: 4.5377314331860856e-05 loss: 0.1727 (0.1714) loss_seg: 0.1710 (0.1697) loss_lansim: 0.1386 (0.1377) loss_contra: 0.0128 (0.0314) time: 3.1793 data: 0.0063 max mem: 31630 Epoch: [4] [ 470/5278] eta: 4:13:37 lr: 4.537515973745259e-05 loss: 0.1634 (0.1711) loss_seg: 0.1620 (0.1694) loss_lansim: 0.1351 (0.1374) loss_contra: 0.0127 (0.0316) time: 3.1795 data: 0.0063 max mem: 31630 Epoch: [4] [ 480/5278] eta: 4:13:09 lr: 4.537300513167664e-05 loss: 0.1607 (0.1712) loss_seg: 0.1592 (0.1695) loss_lansim: 0.1316 (0.1371) loss_contra: 0.0140 (0.0314) time: 3.1803 data: 0.0064 max mem: 31630 Epoch: [4] [ 490/5278] eta: 4:12:32 lr: 4.537085051453232e-05 loss: 0.1646 (0.1716) loss_seg: 0.1632 (0.1699) loss_lansim: 0.1286 (0.1367) loss_contra: 0.0126 (0.0315) time: 3.1763 data: 0.0064 max mem: 31630 Epoch: [4] [ 500/5278] eta: 4:11:59 lr: 4.536869588601897e-05 loss: 0.1645 (0.1715) loss_seg: 0.1631 (0.1698) loss_lansim: 0.1281 (0.1366) loss_contra: 0.0089 (0.0312) time: 3.1743 data: 0.0064 max mem: 31630 Epoch: [4] [ 510/5278] eta: 4:11:36 lr: 4.536654124613595e-05 loss: 0.1645 (0.1714) loss_seg: 0.1631 (0.1697) loss_lansim: 0.1268 (0.1364) loss_contra: 0.0086 (0.0318) time: 3.1810 data: 0.0064 max mem: 31630 Epoch: [4] [ 520/5278] eta: 4:11:07 lr: 4.5364386594882586e-05 loss: 0.1643 (0.1711) loss_seg: 0.1630 (0.1694) loss_lansim: 0.1262 (0.1361) loss_contra: 0.0086 (0.0319) time: 3.1817 data: 0.0064 max mem: 31630 Epoch: [4] [ 530/5278] eta: 4:10:34 lr: 4.536223193225822e-05 loss: 0.1649 (0.1717) loss_seg: 0.1638 (0.1700) loss_lansim: 0.1255 (0.1359) loss_contra: 0.0079 (0.0319) time: 3.1791 data: 0.0065 max mem: 31630 Epoch: [4] [ 540/5278] eta: 4:10:06 lr: 4.53600772582622e-05 loss: 0.1646 (0.1716) loss_seg: 0.1632 (0.1699) loss_lansim: 0.1252 (0.1356) loss_contra: 0.0086 (0.0314) time: 3.1819 data: 0.0065 max mem: 31630 Epoch: [4] [ 550/5278] eta: 4:09:36 lr: 4.5357922572893846e-05 loss: 0.1649 (0.1712) loss_seg: 0.1638 (0.1696) loss_lansim: 0.1246 (0.1354) loss_contra: 0.0077 (0.0313) time: 3.1821 data: 0.0064 max mem: 31630 Epoch: [4] [ 560/5278] eta: 4:09:07 lr: 4.535576787615251e-05 loss: 0.1639 (0.1711) loss_seg: 0.1612 (0.1694) loss_lansim: 0.1220 (0.1352) loss_contra: 0.0076 (0.0317) time: 3.1871 data: 0.0064 max mem: 31630 Epoch: [4] [ 570/5278] eta: 4:08:33 lr: 4.5353613168037535e-05 loss: 0.1649 (0.1712) loss_seg: 0.1638 (0.1695) loss_lansim: 0.1220 (0.1350) loss_contra: 0.0076 (0.0322) time: 3.1804 data: 0.0064 max mem: 31630 Epoch: [4] [ 580/5278] eta: 4:08:03 lr: 4.5351458448548255e-05 loss: 0.1649 (0.1713) loss_seg: 0.1638 (0.1697) loss_lansim: 0.1241 (0.1350) loss_contra: 0.0076 (0.0320) time: 3.1795 data: 0.0064 max mem: 31630 Epoch: [4] [ 590/5278] eta: 4:07:33 lr: 4.534930371768402e-05 loss: 0.1580 (0.1718) loss_seg: 0.1564 (0.1701) loss_lansim: 0.1254 (0.1349) loss_contra: 0.0081 (0.0319) time: 3.1868 data: 0.0065 max mem: 31630 Epoch: [4] [ 600/5278] eta: 4:06:59 lr: 4.534714897544416e-05 loss: 0.1552 (0.1712) loss_seg: 0.1536 (0.1696) loss_lansim: 0.1245 (0.1349) loss_contra: 0.0077 (0.0316) time: 3.1856 data: 0.0065 max mem: 31630 Epoch: [4] [ 610/5278] eta: 4:06:27 lr: 4.5344994221828006e-05 loss: 0.1552 (0.1712) loss_seg: 0.1536 (0.1696) loss_lansim: 0.1262 (0.1349) loss_contra: 0.0077 (0.0315) time: 3.1763 data: 0.0065 max mem: 31630 Epoch: [4] [ 620/5278] eta: 4:05:56 lr: 4.534283945683491e-05 loss: 0.1526 (0.1708) loss_seg: 0.1514 (0.1691) loss_lansim: 0.1265 (0.1348) loss_contra: 0.0068 (0.0320) time: 3.1750 data: 0.0065 max mem: 31630 Epoch: [4] [ 630/5278] eta: 4:05:26 lr: 4.534068468046422e-05 loss: 0.1515 (0.1707) loss_seg: 0.1501 (0.1691) loss_lansim: 0.1260 (0.1345) loss_contra: 0.0061 (0.0320) time: 3.1783 data: 0.0064 max mem: 31630 Epoch: [4] [ 640/5278] eta: 4:04:51 lr: 4.533852989271525e-05 loss: 0.1515 (0.1706) loss_seg: 0.1496 (0.1690) loss_lansim: 0.1265 (0.1343) loss_contra: 0.0058 (0.0318) time: 3.1697 data: 0.0065 max mem: 31630 Epoch: [4] [ 650/5278] eta: 4:04:15 lr: 4.533637509358735e-05 loss: 0.1528 (0.1708) loss_seg: 0.1514 (0.1691) loss_lansim: 0.1266 (0.1342) loss_contra: 0.0055 (0.0316) time: 3.1620 data: 0.0065 max mem: 31630 Epoch: [4] [ 660/5278] eta: 4:03:46 lr: 4.533422028307987e-05 loss: 0.1543 (0.1710) loss_seg: 0.1529 (0.1694) loss_lansim: 0.1265 (0.1339) loss_contra: 0.0058 (0.0315) time: 3.1622 data: 0.0065 max mem: 31630 Epoch: [4] [ 670/5278] eta: 4:03:17 lr: 4.533206546119214e-05 loss: 0.1574 (0.1713) loss_seg: 0.1559 (0.1696) loss_lansim: 0.1266 (0.1339) loss_contra: 0.0053 (0.0317) time: 3.1687 data: 0.0065 max mem: 31630 Epoch: [4] [ 680/5278] eta: 4:02:47 lr: 4.5329910627923496e-05 loss: 0.1528 (0.1709) loss_seg: 0.1509 (0.1693) loss_lansim: 0.1265 (0.1338) loss_contra: 0.0043 (0.0316) time: 3.1686 data: 0.0065 max mem: 31630 Epoch: [4] [ 690/5278] eta: 4:02:12 lr: 4.5327755783273274e-05 loss: 0.1528 (0.1709) loss_seg: 0.1509 (0.1693) loss_lansim: 0.1260 (0.1336) loss_contra: 0.0034 (0.0313) time: 3.1623 data: 0.0065 max mem: 31630 Epoch: [4] [ 700/5278] eta: 4:01:44 lr: 4.5325600927240827e-05 loss: 0.1528 (0.1704) loss_seg: 0.1509 (0.1687) loss_lansim: 0.1215 (0.1333) loss_contra: 0.0032 (0.0313) time: 3.1697 data: 0.0065 max mem: 31630 Epoch: [4] [ 710/5278] eta: 4:01:13 lr: 4.5323446059825476e-05 loss: 0.1564 (0.1706) loss_seg: 0.1552 (0.1690) loss_lansim: 0.1193 (0.1331) loss_contra: 0.0037 (0.0311) time: 3.1726 data: 0.0065 max mem: 31630 Epoch: [4] [ 720/5278] eta: 4:00:42 lr: 4.532129118102658e-05 loss: 0.1574 (0.1706) loss_seg: 0.1559 (0.1689) loss_lansim: 0.1189 (0.1329) loss_contra: 0.0032 (0.0308) time: 3.1718 data: 0.0066 max mem: 31630 Epoch: [4] [ 730/5278] eta: 4:00:09 lr: 4.5319136290843456e-05 loss: 0.1574 (0.1703) loss_seg: 0.1559 (0.1687) loss_lansim: 0.1189 (0.1327) loss_contra: 0.0032 (0.0305) time: 3.1668 data: 0.0066 max mem: 31630 Epoch: [4] [ 740/5278] eta: 3:59:35 lr: 4.531698138927545e-05 loss: 0.1580 (0.1702) loss_seg: 0.1565 (0.1685) loss_lansim: 0.1189 (0.1326) loss_contra: 0.0044 (0.0306) time: 3.1693 data: 0.0066 max mem: 31630 Epoch: [4] [ 750/5278] eta: 3:59:04 lr: 4.531482647632192e-05 loss: 0.1585 (0.1702) loss_seg: 0.1568 (0.1685) loss_lansim: 0.1185 (0.1325) loss_contra: 0.0040 (0.0303) time: 3.1770 data: 0.0067 max mem: 31630 Epoch: [4] [ 760/5278] eta: 3:58:34 lr: 4.5312671551982164e-05 loss: 0.1580 (0.1703) loss_seg: 0.1565 (0.1687) loss_lansim: 0.1193 (0.1324) loss_contra: 0.0034 (0.0300) time: 3.1745 data: 0.0067 max mem: 31630 Epoch: [4] [ 770/5278] eta: 3:57:56 lr: 4.531051661625556e-05 loss: 0.1564 (0.1703) loss_seg: 0.1552 (0.1687) loss_lansim: 0.1185 (0.1323) loss_contra: 0.0034 (0.0300) time: 3.1606 data: 0.0067 max mem: 31630 Epoch: [4] [ 780/5278] eta: 3:57:25 lr: 4.530836166914142e-05 loss: 0.1564 (0.1700) loss_seg: 0.1552 (0.1684) loss_lansim: 0.1190 (0.1322) loss_contra: 0.0034 (0.0297) time: 3.1597 data: 0.0067 max mem: 31630 Epoch: [4] [ 790/5278] eta: 3:56:52 lr: 4.5306206710639094e-05 loss: 0.1567 (0.1701) loss_seg: 0.1553 (0.1685) loss_lansim: 0.1200 (0.1321) loss_contra: 0.0038 (0.0295) time: 3.1619 data: 0.0067 max mem: 31630 Epoch: [4] [ 800/5278] eta: 3:56:19 lr: 4.530405174074792e-05 loss: 0.1595 (0.1697) loss_seg: 0.1585 (0.1681) loss_lansim: 0.1225 (0.1321) loss_contra: 0.0040 (0.0292) time: 3.1537 data: 0.0067 max mem: 31630 Epoch: [4] [ 810/5278] eta: 3:55:48 lr: 4.5301896759467226e-05 loss: 0.1504 (0.1696) loss_seg: 0.1491 (0.1680) loss_lansim: 0.1225 (0.1319) loss_contra: 0.0032 (0.0289) time: 3.1536 data: 0.0067 max mem: 31630 Epoch: [4] [ 820/5278] eta: 3:55:18 lr: 4.5299741766796364e-05 loss: 0.1538 (0.1694) loss_seg: 0.1526 (0.1678) loss_lansim: 0.1220 (0.1318) loss_contra: 0.0034 (0.0292) time: 3.1547 data: 0.0066 max mem: 31630 Epoch: [4] [ 830/5278] eta: 3:54:48 lr: 4.529758676273466e-05 loss: 0.1538 (0.1693) loss_seg: 0.1526 (0.1677) loss_lansim: 0.1228 (0.1318) loss_contra: 0.0035 (0.0290) time: 3.1618 data: 0.0066 max mem: 31630 Epoch: [4] [ 840/5278] eta: 3:54:17 lr: 4.529543174728147e-05 loss: 0.1528 (0.1690) loss_seg: 0.1512 (0.1674) loss_lansim: 0.1225 (0.1316) loss_contra: 0.0024 (0.0292) time: 3.1644 data: 0.0066 max mem: 31630 Epoch: [4] [ 850/5278] eta: 3:53:43 lr: 4.52932767204361e-05 loss: 0.1512 (0.1690) loss_seg: 0.1488 (0.1674) loss_lansim: 0.1221 (0.1315) loss_contra: 0.0034 (0.0296) time: 3.1595 data: 0.0065 max mem: 31630 Epoch: [4] [ 860/5278] eta: 3:53:11 lr: 4.5291121682197905e-05 loss: 0.1512 (0.1689) loss_seg: 0.1488 (0.1672) loss_lansim: 0.1225 (0.1315) loss_contra: 0.0035 (0.0301) time: 3.1570 data: 0.0065 max mem: 31630 Epoch: [4] [ 870/5278] eta: 3:52:40 lr: 4.528896663256623e-05 loss: 0.1516 (0.1692) loss_seg: 0.1494 (0.1675) loss_lansim: 0.1225 (0.1314) loss_contra: 0.0024 (0.0304) time: 3.1686 data: 0.0066 max mem: 31630 Epoch: [4] [ 880/5278] eta: 3:52:07 lr: 4.5286811571540406e-05 loss: 0.1535 (0.1693) loss_seg: 0.1506 (0.1677) loss_lansim: 0.1228 (0.1313) loss_contra: 0.0045 (0.0303) time: 3.1642 data: 0.0066 max mem: 31630 Epoch: [4] [ 890/5278] eta: 3:51:34 lr: 4.5284656499119765e-05 loss: 0.1538 (0.1697) loss_seg: 0.1520 (0.1681) loss_lansim: 0.1228 (0.1313) loss_contra: 0.0045 (0.0302) time: 3.1626 data: 0.0068 max mem: 31630 Epoch: [4] [ 900/5278] eta: 3:51:00 lr: 4.528250141530365e-05 loss: 0.1538 (0.1694) loss_seg: 0.1520 (0.1678) loss_lansim: 0.1228 (0.1313) loss_contra: 0.0045 (0.0303) time: 3.1613 data: 0.0069 max mem: 31630 Epoch: [4] [ 910/5278] eta: 3:50:29 lr: 4.52803463200914e-05 loss: 0.1546 (0.1692) loss_seg: 0.1526 (0.1676) loss_lansim: 0.1243 (0.1313) loss_contra: 0.0048 (0.0302) time: 3.1607 data: 0.0070 max mem: 31630 Epoch: [4] [ 920/5278] eta: 3:49:55 lr: 4.5278191213482354e-05 loss: 0.1567 (0.1693) loss_seg: 0.1538 (0.1677) loss_lansim: 0.1253 (0.1312) loss_contra: 0.0062 (0.0301) time: 3.1536 data: 0.0071 max mem: 31630 Epoch: [4] [ 930/5278] eta: 3:49:23 lr: 4.527603609547583e-05 loss: 0.1559 (0.1694) loss_seg: 0.1534 (0.1678) loss_lansim: 0.1262 (0.1313) loss_contra: 0.0081 (0.0300) time: 3.1501 data: 0.0072 max mem: 31630 Epoch: [4] [ 940/5278] eta: 3:48:53 lr: 4.527388096607119e-05 loss: 0.1609 (0.1696) loss_seg: 0.1587 (0.1680) loss_lansim: 0.1295 (0.1314) loss_contra: 0.0077 (0.0301) time: 3.1525 data: 0.0072 max mem: 31630 Epoch: [4] [ 950/5278] eta: 3:48:22 lr: 4.527172582526775e-05 loss: 0.1636 (0.1696) loss_seg: 0.1611 (0.1680) loss_lansim: 0.1311 (0.1314) loss_contra: 0.0084 (0.0300) time: 3.1564 data: 0.0072 max mem: 31630 Epoch: [4] [ 960/5278] eta: 3:47:49 lr: 4.5269570673064864e-05 loss: 0.1625 (0.1695) loss_seg: 0.1607 (0.1679) loss_lansim: 0.1295 (0.1313) loss_contra: 0.0090 (0.0300) time: 3.1562 data: 0.0072 max mem: 31630 Epoch: [4] [ 970/5278] eta: 3:47:21 lr: 4.526741550946186e-05 loss: 0.1645 (0.1695) loss_seg: 0.1629 (0.1679) loss_lansim: 0.1317 (0.1314) loss_contra: 0.0090 (0.0303) time: 3.1608 data: 0.0071 max mem: 31630 Epoch: [4] [ 980/5278] eta: 3:46:49 lr: 4.526526033445807e-05 loss: 0.1645 (0.1695) loss_seg: 0.1629 (0.1679) loss_lansim: 0.1330 (0.1315) loss_contra: 0.0087 (0.0303) time: 3.1641 data: 0.0071 max mem: 31630 Epoch: [4] [ 990/5278] eta: 3:46:18 lr: 4.526310514805284e-05 loss: 0.1636 (0.1696) loss_seg: 0.1611 (0.1679) loss_lansim: 0.1342 (0.1315) loss_contra: 0.0071 (0.0302) time: 3.1689 data: 0.0070 max mem: 31630 Epoch: [4] [1000/5278] eta: 3:45:47 lr: 4.5260949950245504e-05 loss: 0.1636 (0.1696) loss_seg: 0.1615 (0.1680) loss_lansim: 0.1344 (0.1315) loss_contra: 0.0084 (0.0307) time: 3.1740 data: 0.0069 max mem: 31630 Epoch: [4] [1010/5278] eta: 3:45:15 lr: 4.525879474103539e-05 loss: 0.1627 (0.1695) loss_seg: 0.1611 (0.1678) loss_lansim: 0.1336 (0.1314) loss_contra: 0.0084 (0.0307) time: 3.1730 data: 0.0068 max mem: 31630 Epoch: [4] [1020/5278] eta: 3:44:44 lr: 4.525663952042185e-05 loss: 0.1627 (0.1695) loss_seg: 0.1611 (0.1679) loss_lansim: 0.1348 (0.1314) loss_contra: 0.0086 (0.0308) time: 3.1790 data: 0.0067 max mem: 31630 Epoch: [4] [1030/5278] eta: 3:44:13 lr: 4.525448428840421e-05 loss: 0.1636 (0.1695) loss_seg: 0.1615 (0.1679) loss_lansim: 0.1344 (0.1315) loss_contra: 0.0094 (0.0310) time: 3.1794 data: 0.0067 max mem: 31630 Epoch: [4] [1040/5278] eta: 3:43:42 lr: 4.525232904498181e-05 loss: 0.1623 (0.1699) loss_seg: 0.1610 (0.1683) loss_lansim: 0.1330 (0.1315) loss_contra: 0.0094 (0.0309) time: 3.1809 data: 0.0068 max mem: 31630 Epoch: [4] [1050/5278] eta: 3:43:10 lr: 4.525017379015398e-05 loss: 0.1615 (0.1699) loss_seg: 0.1602 (0.1683) loss_lansim: 0.1316 (0.1315) loss_contra: 0.0079 (0.0308) time: 3.1794 data: 0.0069 max mem: 31630 Epoch: [4] [1060/5278] eta: 3:42:39 lr: 4.524801852392006e-05 loss: 0.1620 (0.1698) loss_seg: 0.1604 (0.1682) loss_lansim: 0.1344 (0.1315) loss_contra: 0.0079 (0.0310) time: 3.1816 data: 0.0067 max mem: 31630 Epoch: [4] [1070/5278] eta: 3:42:10 lr: 4.524586324627939e-05 loss: 0.1615 (0.1697) loss_seg: 0.1590 (0.1680) loss_lansim: 0.1334 (0.1315) loss_contra: 0.0071 (0.0315) time: 3.1814 data: 0.0068 max mem: 31630 Epoch: [4] [1080/5278] eta: 3:41:36 lr: 4.52437079572313e-05 loss: 0.1620 (0.1698) loss_seg: 0.1590 (0.1682) loss_lansim: 0.1307 (0.1315) loss_contra: 0.0094 (0.0313) time: 3.1752 data: 0.0068 max mem: 31630 Epoch: [4] [1090/5278] eta: 3:41:06 lr: 4.524155265677513e-05 loss: 0.1600 (0.1695) loss_seg: 0.1587 (0.1679) loss_lansim: 0.1302 (0.1315) loss_contra: 0.0095 (0.0314) time: 3.1786 data: 0.0068 max mem: 31630 Epoch: [4] [1100/5278] eta: 3:40:34 lr: 4.523939734491021e-05 loss: 0.1623 (0.1693) loss_seg: 0.1602 (0.1677) loss_lansim: 0.1302 (0.1315) loss_contra: 0.0094 (0.0313) time: 3.1768 data: 0.0068 max mem: 31630 Epoch: [4] [1110/5278] eta: 3:40:02 lr: 4.5237242021635874e-05 loss: 0.1620 (0.1693) loss_seg: 0.1602 (0.1677) loss_lansim: 0.1319 (0.1316) loss_contra: 0.0070 (0.0310) time: 3.1763 data: 0.0068 max mem: 31630 Epoch: [4] [1120/5278] eta: 3:39:31 lr: 4.5235086686951464e-05 loss: 0.1620 (0.1691) loss_seg: 0.1602 (0.1675) loss_lansim: 0.1334 (0.1316) loss_contra: 0.0062 (0.0308) time: 3.1767 data: 0.0069 max mem: 31630 Epoch: [4] [1130/5278] eta: 3:38:58 lr: 4.523293134085633e-05 loss: 0.1618 (0.1690) loss_seg: 0.1590 (0.1674) loss_lansim: 0.1333 (0.1316) loss_contra: 0.0048 (0.0307) time: 3.1717 data: 0.0069 max mem: 31630 Epoch: [4] [1140/5278] eta: 3:38:26 lr: 4.523077598334978e-05 loss: 0.1618 (0.1689) loss_seg: 0.1587 (0.1673) loss_lansim: 0.1319 (0.1316) loss_contra: 0.0045 (0.0305) time: 3.1683 data: 0.0068 max mem: 31630 Epoch: [4] [1150/5278] eta: 3:37:55 lr: 4.522862061443116e-05 loss: 0.1627 (0.1693) loss_seg: 0.1609 (0.1677) loss_lansim: 0.1333 (0.1318) loss_contra: 0.0039 (0.0304) time: 3.1716 data: 0.0067 max mem: 31630 Epoch: [4] [1160/5278] eta: 3:37:24 lr: 4.5226465234099804e-05 loss: 0.1627 (0.1693) loss_seg: 0.1609 (0.1677) loss_lansim: 0.1328 (0.1318) loss_contra: 0.0038 (0.0302) time: 3.1721 data: 0.0068 max mem: 31630 Epoch: [4] [1170/5278] eta: 3:36:51 lr: 4.522430984235505e-05 loss: 0.1620 (0.1692) loss_seg: 0.1608 (0.1676) loss_lansim: 0.1335 (0.1318) loss_contra: 0.0033 (0.0300) time: 3.1623 data: 0.0067 max mem: 31630 Epoch: [4] [1180/5278] eta: 3:36:20 lr: 4.522215443919624e-05 loss: 0.1601 (0.1693) loss_seg: 0.1582 (0.1677) loss_lansim: 0.1359 (0.1319) loss_contra: 0.0034 (0.0301) time: 3.1686 data: 0.0067 max mem: 31630 Epoch: [4] [1190/5278] eta: 3:35:48 lr: 4.52199990246227e-05 loss: 0.1627 (0.1694) loss_seg: 0.1615 (0.1678) loss_lansim: 0.1340 (0.1318) loss_contra: 0.0034 (0.0301) time: 3.1640 data: 0.0066 max mem: 31630 Epoch: [4] [1200/5278] eta: 3:35:16 lr: 4.521784359863376e-05 loss: 0.1625 (0.1694) loss_seg: 0.1612 (0.1678) loss_lansim: 0.1339 (0.1318) loss_contra: 0.0032 (0.0299) time: 3.1655 data: 0.0066 max mem: 31630 Epoch: [4] [1210/5278] eta: 3:34:46 lr: 4.521568816122877e-05 loss: 0.1636 (0.1695) loss_seg: 0.1622 (0.1679) loss_lansim: 0.1335 (0.1318) loss_contra: 0.0034 (0.0299) time: 3.1695 data: 0.0067 max mem: 31630 Epoch: [4] [1220/5278] eta: 3:34:13 lr: 4.521353271240706e-05 loss: 0.1627 (0.1694) loss_seg: 0.1615 (0.1678) loss_lansim: 0.1334 (0.1318) loss_contra: 0.0036 (0.0298) time: 3.1644 data: 0.0066 max mem: 31630 Epoch: [4] [1230/5278] eta: 3:33:41 lr: 4.521137725216795e-05 loss: 0.1625 (0.1692) loss_seg: 0.1612 (0.1675) loss_lansim: 0.1336 (0.1318) loss_contra: 0.0034 (0.0296) time: 3.1673 data: 0.0065 max mem: 31630 Epoch: [4] [1240/5278] eta: 3:33:10 lr: 4.520922178051079e-05 loss: 0.1627 (0.1694) loss_seg: 0.1615 (0.1678) loss_lansim: 0.1335 (0.1317) loss_contra: 0.0042 (0.0294) time: 3.1707 data: 0.0065 max mem: 31630 Epoch: [4] [1250/5278] eta: 3:32:41 lr: 4.520706629743492e-05 loss: 0.1625 (0.1694) loss_seg: 0.1612 (0.1678) loss_lansim: 0.1318 (0.1317) loss_contra: 0.0041 (0.0292) time: 3.1736 data: 0.0066 max mem: 31630 Epoch: [4] [1260/5278] eta: 3:32:07 lr: 4.520491080293966e-05 loss: 0.1627 (0.1694) loss_seg: 0.1615 (0.1678) loss_lansim: 0.1325 (0.1317) loss_contra: 0.0042 (0.0291) time: 3.1673 data: 0.0067 max mem: 31630 Epoch: [4] [1270/5278] eta: 3:31:33 lr: 4.520275529702434e-05 loss: 0.1625 (0.1692) loss_seg: 0.1612 (0.1676) loss_lansim: 0.1300 (0.1317) loss_contra: 0.0039 (0.0289) time: 3.1628 data: 0.0067 max mem: 31630 Epoch: [4] [1280/5278] eta: 3:31:02 lr: 4.520059977968831e-05 loss: 0.1625 (0.1693) loss_seg: 0.1612 (0.1677) loss_lansim: 0.1300 (0.1317) loss_contra: 0.0028 (0.0287) time: 3.1645 data: 0.0068 max mem: 31630 Epoch: [4] [1290/5278] eta: 3:30:35 lr: 4.51984442509309e-05 loss: 0.1571 (0.1691) loss_seg: 0.1555 (0.1675) loss_lansim: 0.1298 (0.1316) loss_contra: 0.0029 (0.0288) time: 3.1794 data: 0.0068 max mem: 31630 Epoch: [4] [1300/5278] eta: 3:30:05 lr: 4.519628871075145e-05 loss: 0.1525 (0.1689) loss_seg: 0.1511 (0.1673) loss_lansim: 0.1290 (0.1316) loss_contra: 0.0029 (0.0286) time: 3.1846 data: 0.0068 max mem: 31630 Epoch: [4] [1310/5278] eta: 3:29:34 lr: 4.5194133159149276e-05 loss: 0.1524 (0.1689) loss_seg: 0.1511 (0.1673) loss_lansim: 0.1279 (0.1315) loss_contra: 0.0026 (0.0284) time: 3.1831 data: 0.0068 max mem: 31630 Epoch: [4] [1320/5278] eta: 3:29:04 lr: 4.5191977596123724e-05 loss: 0.1525 (0.1688) loss_seg: 0.1513 (0.1672) loss_lansim: 0.1275 (0.1315) loss_contra: 0.0025 (0.0282) time: 3.1951 data: 0.0068 max mem: 31630 Epoch: [4] [1330/5278] eta: 3:28:37 lr: 4.5189822021674136e-05 loss: 0.1628 (0.1691) loss_seg: 0.1613 (0.1675) loss_lansim: 0.1275 (0.1316) loss_contra: 0.0025 (0.0286) time: 3.2110 data: 0.0067 max mem: 31630 Epoch: [4] [1340/5278] eta: 3:28:05 lr: 4.518766643579983e-05 loss: 0.1629 (0.1694) loss_seg: 0.1616 (0.1678) loss_lansim: 0.1308 (0.1317) loss_contra: 0.0026 (0.0289) time: 3.2056 data: 0.0067 max mem: 31630 Epoch: [4] [1350/5278] eta: 3:27:36 lr: 4.518551083850015e-05 loss: 0.1629 (0.1695) loss_seg: 0.1616 (0.1679) loss_lansim: 0.1318 (0.1317) loss_contra: 0.0029 (0.0293) time: 3.2092 data: 0.0066 max mem: 31630 Epoch: [4] [1360/5278] eta: 3:27:07 lr: 4.518335522977442e-05 loss: 0.1629 (0.1697) loss_seg: 0.1616 (0.1680) loss_lansim: 0.1309 (0.1317) loss_contra: 0.0037 (0.0293) time: 3.2248 data: 0.0067 max mem: 31630 Epoch: [4] [1370/5278] eta: 3:26:35 lr: 4.518119960962199e-05 loss: 0.1629 (0.1695) loss_seg: 0.1616 (0.1679) loss_lansim: 0.1315 (0.1317) loss_contra: 0.0044 (0.0295) time: 3.2328 data: 0.0067 max mem: 31630 Epoch: [4] [1380/5278] eta: 3:26:05 lr: 4.5179043978042185e-05 loss: 0.1588 (0.1695) loss_seg: 0.1571 (0.1678) loss_lansim: 0.1301 (0.1317) loss_contra: 0.0060 (0.0295) time: 3.2361 data: 0.0068 max mem: 31630 Epoch: [4] [1390/5278] eta: 3:25:37 lr: 4.5176888335034326e-05 loss: 0.1588 (0.1693) loss_seg: 0.1571 (0.1677) loss_lansim: 0.1282 (0.1316) loss_contra: 0.0064 (0.0294) time: 3.2363 data: 0.0068 max mem: 31630 Epoch: [4] [1400/5278] eta: 3:25:09 lr: 4.517473268059777e-05 loss: 0.1710 (0.1696) loss_seg: 0.1695 (0.1680) loss_lansim: 0.1277 (0.1315) loss_contra: 0.0081 (0.0298) time: 3.2449 data: 0.0068 max mem: 31630 Epoch: [4] [1410/5278] eta: 3:24:35 lr: 4.517257701473183e-05 loss: 0.1678 (0.1695) loss_seg: 0.1665 (0.1679) loss_lansim: 0.1277 (0.1315) loss_contra: 0.0101 (0.0300) time: 3.2363 data: 0.0068 max mem: 31630 Epoch: [4] [1420/5278] eta: 3:24:08 lr: 4.517042133743586e-05 loss: 0.1745 (0.1695) loss_seg: 0.1732 (0.1679) loss_lansim: 0.1282 (0.1315) loss_contra: 0.0100 (0.0299) time: 3.2437 data: 0.0069 max mem: 31630 Epoch: [4] [1430/5278] eta: 3:23:38 lr: 4.516826564870917e-05 loss: 0.1652 (0.1695) loss_seg: 0.1634 (0.1679) loss_lansim: 0.1273 (0.1315) loss_contra: 0.0103 (0.0301) time: 3.2390 data: 0.0070 max mem: 31630 Epoch: [4] [1440/5278] eta: 3:23:07 lr: 4.516610994855111e-05 loss: 0.1609 (0.1696) loss_seg: 0.1588 (0.1680) loss_lansim: 0.1258 (0.1315) loss_contra: 0.0083 (0.0300) time: 3.2435 data: 0.0071 max mem: 31630 Epoch: [4] [1450/5278] eta: 3:22:37 lr: 4.516395423696101e-05 loss: 0.1580 (0.1695) loss_seg: 0.1555 (0.1679) loss_lansim: 0.1249 (0.1314) loss_contra: 0.0081 (0.0299) time: 3.2402 data: 0.0071 max mem: 31630 Epoch: [4] [1460/5278] eta: 3:22:08 lr: 4.51617985139382e-05 loss: 0.1584 (0.1695) loss_seg: 0.1558 (0.1679) loss_lansim: 0.1244 (0.1314) loss_contra: 0.0061 (0.0299) time: 3.2425 data: 0.0072 max mem: 31630 Epoch: [4] [1470/5278] eta: 3:21:38 lr: 4.515964277948202e-05 loss: 0.1601 (0.1695) loss_seg: 0.1558 (0.1679) loss_lansim: 0.1244 (0.1314) loss_contra: 0.0065 (0.0299) time: 3.2517 data: 0.0072 max mem: 31630 Epoch: [4] [1480/5278] eta: 3:21:07 lr: 4.515748703359178e-05 loss: 0.1603 (0.1694) loss_seg: 0.1567 (0.1678) loss_lansim: 0.1250 (0.1314) loss_contra: 0.0057 (0.0297) time: 3.2494 data: 0.0072 max mem: 31630 Epoch: [4] [1490/5278] eta: 3:20:36 lr: 4.515533127626684e-05 loss: 0.1663 (0.1695) loss_seg: 0.1645 (0.1679) loss_lansim: 0.1258 (0.1314) loss_contra: 0.0054 (0.0297) time: 3.2387 data: 0.0073 max mem: 31630 Epoch: [4] [1500/5278] eta: 3:20:08 lr: 4.515317550750652e-05 loss: 0.1632 (0.1699) loss_seg: 0.1619 (0.1683) loss_lansim: 0.1261 (0.1313) loss_contra: 0.0044 (0.0296) time: 3.2406 data: 0.0073 max mem: 31630 Epoch: [4] [1510/5278] eta: 3:19:37 lr: 4.515101972731016e-05 loss: 0.1632 (0.1698) loss_seg: 0.1619 (0.1682) loss_lansim: 0.1280 (0.1313) loss_contra: 0.0040 (0.0295) time: 3.2517 data: 0.0073 max mem: 31630 Epoch: [4] [1520/5278] eta: 3:19:06 lr: 4.514886393567708e-05 loss: 0.1632 (0.1699) loss_seg: 0.1619 (0.1683) loss_lansim: 0.1273 (0.1313) loss_contra: 0.0040 (0.0293) time: 3.2374 data: 0.0073 max mem: 31630 Epoch: [4] [1530/5278] eta: 3:18:36 lr: 4.514670813260663e-05 loss: 0.1655 (0.1698) loss_seg: 0.1641 (0.1682) loss_lansim: 0.1277 (0.1312) loss_contra: 0.0040 (0.0295) time: 3.2375 data: 0.0073 max mem: 31630 Epoch: [4] [1540/5278] eta: 3:18:06 lr: 4.514455231809813e-05 loss: 0.1612 (0.1697) loss_seg: 0.1598 (0.1681) loss_lansim: 0.1265 (0.1312) loss_contra: 0.0053 (0.0296) time: 3.2419 data: 0.0072 max mem: 31630 Epoch: [4] [1550/5278] eta: 3:17:34 lr: 4.5142396492150915e-05 loss: 0.1632 (0.1696) loss_seg: 0.1619 (0.1680) loss_lansim: 0.1261 (0.1311) loss_contra: 0.0060 (0.0296) time: 3.2357 data: 0.0071 max mem: 31630 Epoch: [4] [1560/5278] eta: 3:17:03 lr: 4.5140240654764316e-05 loss: 0.1556 (0.1694) loss_seg: 0.1543 (0.1678) loss_lansim: 0.1273 (0.1311) loss_contra: 0.0061 (0.0295) time: 3.2280 data: 0.0072 max mem: 31630 Epoch: [4] [1570/5278] eta: 3:16:33 lr: 4.5138084805937663e-05 loss: 0.1612 (0.1696) loss_seg: 0.1598 (0.1680) loss_lansim: 0.1277 (0.1311) loss_contra: 0.0067 (0.0295) time: 3.2275 data: 0.0072 max mem: 31630 Epoch: [4] [1580/5278] eta: 3:16:01 lr: 4.51359289456703e-05 loss: 0.1612 (0.1695) loss_seg: 0.1598 (0.1678) loss_lansim: 0.1273 (0.1311) loss_contra: 0.0070 (0.0296) time: 3.2281 data: 0.0071 max mem: 31630 Epoch: [4] [1590/5278] eta: 3:15:30 lr: 4.513377307396155e-05 loss: 0.1546 (0.1696) loss_seg: 0.1532 (0.1680) loss_lansim: 0.1273 (0.1311) loss_contra: 0.0072 (0.0297) time: 3.2289 data: 0.0071 max mem: 31630 Epoch: [4] [1600/5278] eta: 3:15:00 lr: 4.5131617190810746e-05 loss: 0.1612 (0.1698) loss_seg: 0.1598 (0.1682) loss_lansim: 0.1267 (0.1311) loss_contra: 0.0086 (0.0297) time: 3.2206 data: 0.0072 max mem: 31630 Epoch: [4] [1610/5278] eta: 3:14:30 lr: 4.5129461296217216e-05 loss: 0.1546 (0.1698) loss_seg: 0.1532 (0.1682) loss_lansim: 0.1252 (0.1310) loss_contra: 0.0086 (0.0295) time: 3.2260 data: 0.0072 max mem: 31630 Epoch: [4] [1620/5278] eta: 3:13:58 lr: 4.51273053901803e-05 loss: 0.1536 (0.1697) loss_seg: 0.1523 (0.1681) loss_lansim: 0.1248 (0.1310) loss_contra: 0.0092 (0.0295) time: 3.2242 data: 0.0073 max mem: 31630 Epoch: [4] [1630/5278] eta: 3:13:28 lr: 4.5125149472699327e-05 loss: 0.1546 (0.1698) loss_seg: 0.1532 (0.1682) loss_lansim: 0.1237 (0.1309) loss_contra: 0.0100 (0.0295) time: 3.2220 data: 0.0072 max mem: 31630 Epoch: [4] [1640/5278] eta: 3:12:59 lr: 4.512299354377362e-05 loss: 0.1538 (0.1697) loss_seg: 0.1524 (0.1681) loss_lansim: 0.1237 (0.1308) loss_contra: 0.0107 (0.0294) time: 3.2293 data: 0.0072 max mem: 31630 Epoch: [4] [1650/5278] eta: 3:12:28 lr: 4.512083760340252e-05 loss: 0.1616 (0.1698) loss_seg: 0.1604 (0.1682) loss_lansim: 0.1233 (0.1308) loss_contra: 0.0096 (0.0294) time: 3.2350 data: 0.0073 max mem: 31630 Epoch: [4] [1660/5278] eta: 3:11:55 lr: 4.511868165158537e-05 loss: 0.1628 (0.1698) loss_seg: 0.1616 (0.1682) loss_lansim: 0.1230 (0.1307) loss_contra: 0.0096 (0.0294) time: 3.2268 data: 0.0072 max mem: 31630 Epoch: [4] [1670/5278] eta: 3:11:25 lr: 4.511652568832147e-05 loss: 0.1616 (0.1697) loss_seg: 0.1604 (0.1681) loss_lansim: 0.1218 (0.1306) loss_contra: 0.0108 (0.0297) time: 3.2275 data: 0.0072 max mem: 31630 Epoch: [4] [1680/5278] eta: 3:10:55 lr: 4.5114369713610186e-05 loss: 0.1587 (0.1696) loss_seg: 0.1571 (0.1680) loss_lansim: 0.1199 (0.1305) loss_contra: 0.0083 (0.0296) time: 3.2359 data: 0.0072 max mem: 31630 Epoch: [4] [1690/5278] eta: 3:10:23 lr: 4.511221372745082e-05 loss: 0.1587 (0.1697) loss_seg: 0.1571 (0.1681) loss_lansim: 0.1183 (0.1304) loss_contra: 0.0099 (0.0297) time: 3.2329 data: 0.0072 max mem: 31630 Epoch: [4] [1700/5278] eta: 3:09:53 lr: 4.511005772984272e-05 loss: 0.1564 (0.1698) loss_seg: 0.1542 (0.1682) loss_lansim: 0.1183 (0.1304) loss_contra: 0.0089 (0.0297) time: 3.2363 data: 0.0071 max mem: 31630 Epoch: [4] [1710/5278] eta: 3:09:23 lr: 4.5107901720785226e-05 loss: 0.1573 (0.1697) loss_seg: 0.1562 (0.1681) loss_lansim: 0.1197 (0.1304) loss_contra: 0.0108 (0.0299) time: 3.2325 data: 0.0070 max mem: 31630 Epoch: [4] [1720/5278] eta: 3:08:52 lr: 4.5105745700277646e-05 loss: 0.1573 (0.1699) loss_seg: 0.1562 (0.1683) loss_lansim: 0.1202 (0.1304) loss_contra: 0.0126 (0.0300) time: 3.2404 data: 0.0070 max mem: 31630 Epoch: [4] [1730/5278] eta: 3:08:21 lr: 4.5103589668319325e-05 loss: 0.1573 (0.1698) loss_seg: 0.1562 (0.1682) loss_lansim: 0.1210 (0.1304) loss_contra: 0.0109 (0.0299) time: 3.2390 data: 0.0070 max mem: 31630 Epoch: [4] [1740/5278] eta: 3:07:52 lr: 4.510143362490959e-05 loss: 0.1587 (0.1698) loss_seg: 0.1571 (0.1682) loss_lansim: 0.1206 (0.1303) loss_contra: 0.0097 (0.0299) time: 3.2377 data: 0.0070 max mem: 31630 Epoch: [4] [1750/5278] eta: 3:07:22 lr: 4.5099277570047774e-05 loss: 0.1591 (0.1698) loss_seg: 0.1577 (0.1682) loss_lansim: 0.1198 (0.1302) loss_contra: 0.0100 (0.0301) time: 3.2439 data: 0.0071 max mem: 31630 Epoch: [4] [1760/5278] eta: 3:06:50 lr: 4.50971215037332e-05 loss: 0.1583 (0.1698) loss_seg: 0.1570 (0.1682) loss_lansim: 0.1174 (0.1301) loss_contra: 0.0104 (0.0300) time: 3.2502 data: 0.0072 max mem: 31630 Epoch: [4] [1770/5278] eta: 3:06:21 lr: 4.509496542596521e-05 loss: 0.1605 (0.1698) loss_seg: 0.1585 (0.1682) loss_lansim: 0.1178 (0.1300) loss_contra: 0.0077 (0.0299) time: 3.2547 data: 0.0072 max mem: 31630 Epoch: [4] [1780/5278] eta: 3:05:49 lr: 4.509280933674313e-05 loss: 0.1635 (0.1700) loss_seg: 0.1620 (0.1684) loss_lansim: 0.1183 (0.1299) loss_contra: 0.0085 (0.0298) time: 3.2484 data: 0.0072 max mem: 31630 Epoch: [4] [1790/5278] eta: 3:05:18 lr: 4.50906532360663e-05 loss: 0.1615 (0.1699) loss_seg: 0.1597 (0.1683) loss_lansim: 0.1203 (0.1299) loss_contra: 0.0067 (0.0298) time: 3.2511 data: 0.0073 max mem: 31630 Epoch: [4] [1800/5278] eta: 3:04:47 lr: 4.508849712393403e-05 loss: 0.1610 (0.1699) loss_seg: 0.1594 (0.1683) loss_lansim: 0.1197 (0.1299) loss_contra: 0.0067 (0.0298) time: 3.2450 data: 0.0074 max mem: 31630 Epoch: [4] [1810/5278] eta: 3:04:17 lr: 4.5086341000345665e-05 loss: 0.1610 (0.1699) loss_seg: 0.1594 (0.1683) loss_lansim: 0.1198 (0.1299) loss_contra: 0.0057 (0.0297) time: 3.2493 data: 0.0074 max mem: 31630 Epoch: [4] [1820/5278] eta: 3:03:46 lr: 4.5084184865300535e-05 loss: 0.1593 (0.1698) loss_seg: 0.1577 (0.1682) loss_lansim: 0.1203 (0.1299) loss_contra: 0.0055 (0.0296) time: 3.2487 data: 0.0074 max mem: 31630 Epoch: [4] [1830/5278] eta: 3:03:12 lr: 4.508202871879796e-05 loss: 0.1633 (0.1700) loss_seg: 0.1620 (0.1685) loss_lansim: 0.1205 (0.1299) loss_contra: 0.0050 (0.0296) time: 3.2357 data: 0.0074 max mem: 31630 Epoch: [4] [1840/5278] eta: 3:02:42 lr: 4.507987256083729e-05 loss: 0.1635 (0.1700) loss_seg: 0.1620 (0.1684) loss_lansim: 0.1219 (0.1300) loss_contra: 0.0047 (0.0296) time: 3.2324 data: 0.0074 max mem: 31630 Epoch: [4] [1850/5278] eta: 3:02:12 lr: 4.5077716391417836e-05 loss: 0.1666 (0.1701) loss_seg: 0.1654 (0.1685) loss_lansim: 0.1220 (0.1299) loss_contra: 0.0044 (0.0295) time: 3.2333 data: 0.0074 max mem: 31630 Epoch: [4] [1860/5278] eta: 3:01:40 lr: 4.507556021053893e-05 loss: 0.1666 (0.1701) loss_seg: 0.1654 (0.1685) loss_lansim: 0.1236 (0.1299) loss_contra: 0.0040 (0.0294) time: 3.2316 data: 0.0074 max mem: 31630 Epoch: [4] [1870/5278] eta: 3:01:08 lr: 4.507340401819991e-05 loss: 0.1654 (0.1701) loss_seg: 0.1640 (0.1685) loss_lansim: 0.1252 (0.1299) loss_contra: 0.0039 (0.0294) time: 3.2222 data: 0.0074 max mem: 31630 Epoch: [4] [1880/5278] eta: 3:00:38 lr: 4.5071247814400114e-05 loss: 0.1643 (0.1702) loss_seg: 0.1631 (0.1686) loss_lansim: 0.1259 (0.1298) loss_contra: 0.0036 (0.0294) time: 3.2292 data: 0.0075 max mem: 31630 Epoch: [4] [1890/5278] eta: 3:00:08 lr: 4.506909159913885e-05 loss: 0.1654 (0.1701) loss_seg: 0.1640 (0.1685) loss_lansim: 0.1251 (0.1297) loss_contra: 0.0040 (0.0295) time: 3.2389 data: 0.0075 max mem: 31630 Epoch: [4] [1900/5278] eta: 2:59:37 lr: 4.506693537241546e-05 loss: 0.1624 (0.1699) loss_seg: 0.1601 (0.1683) loss_lansim: 0.1247 (0.1297) loss_contra: 0.0039 (0.0294) time: 3.2380 data: 0.0074 max mem: 31630 Epoch: [4] [1910/5278] eta: 2:59:07 lr: 4.5064779134229276e-05 loss: 0.1633 (0.1699) loss_seg: 0.1620 (0.1683) loss_lansim: 0.1243 (0.1297) loss_contra: 0.0039 (0.0294) time: 3.2390 data: 0.0075 max mem: 31630 Epoch: [4] [1920/5278] eta: 2:58:37 lr: 4.506262288457962e-05 loss: 0.1660 (0.1699) loss_seg: 0.1648 (0.1683) loss_lansim: 0.1247 (0.1297) loss_contra: 0.0030 (0.0293) time: 3.2461 data: 0.0075 max mem: 31630 Epoch: [4] [1930/5278] eta: 2:58:07 lr: 4.5060466623465825e-05 loss: 0.1586 (0.1698) loss_seg: 0.1575 (0.1683) loss_lansim: 0.1232 (0.1297) loss_contra: 0.0035 (0.0291) time: 3.2669 data: 0.0076 max mem: 31630 Epoch: [4] [1940/5278] eta: 2:57:35 lr: 4.505831035088722e-05 loss: 0.1582 (0.1698) loss_seg: 0.1570 (0.1682) loss_lansim: 0.1221 (0.1296) loss_contra: 0.0036 (0.0291) time: 3.2604 data: 0.0076 max mem: 31630 Epoch: [4] [1950/5278] eta: 2:57:05 lr: 4.505615406684314e-05 loss: 0.1493 (0.1696) loss_seg: 0.1479 (0.1680) loss_lansim: 0.1210 (0.1296) loss_contra: 0.0035 (0.0290) time: 3.2595 data: 0.0075 max mem: 31630 Epoch: [4] [1960/5278] eta: 2:56:34 lr: 4.505399777133292e-05 loss: 0.1480 (0.1697) loss_seg: 0.1469 (0.1681) loss_lansim: 0.1210 (0.1295) loss_contra: 0.0035 (0.0290) time: 3.2700 data: 0.0076 max mem: 31630 Epoch: [4] [1970/5278] eta: 2:56:02 lr: 4.505184146435586e-05 loss: 0.1493 (0.1697) loss_seg: 0.1479 (0.1681) loss_lansim: 0.1207 (0.1295) loss_contra: 0.0035 (0.0289) time: 3.2632 data: 0.0076 max mem: 31630 Epoch: [4] [1980/5278] eta: 2:55:28 lr: 4.504968514591132e-05 loss: 0.1493 (0.1698) loss_seg: 0.1479 (0.1682) loss_lansim: 0.1210 (0.1295) loss_contra: 0.0036 (0.0289) time: 3.2436 data: 0.0074 max mem: 31630 Epoch: [4] [1990/5278] eta: 2:54:56 lr: 4.504752881599861e-05 loss: 0.1540 (0.1698) loss_seg: 0.1520 (0.1682) loss_lansim: 0.1222 (0.1295) loss_contra: 0.0039 (0.0289) time: 3.2284 data: 0.0074 max mem: 31630 Epoch: [4] [2000/5278] eta: 2:54:23 lr: 4.504537247461707e-05 loss: 0.1573 (0.1698) loss_seg: 0.1556 (0.1682) loss_lansim: 0.1226 (0.1294) loss_contra: 0.0040 (0.0288) time: 3.2241 data: 0.0074 max mem: 31630 Epoch: [4] [2010/5278] eta: 2:53:51 lr: 4.504321612176603e-05 loss: 0.1589 (0.1698) loss_seg: 0.1561 (0.1682) loss_lansim: 0.1240 (0.1295) loss_contra: 0.0040 (0.0287) time: 3.2152 data: 0.0073 max mem: 31630 Epoch: [4] [2020/5278] eta: 2:53:20 lr: 4.5041059757444806e-05 loss: 0.1589 (0.1697) loss_seg: 0.1561 (0.1681) loss_lansim: 0.1246 (0.1295) loss_contra: 0.0044 (0.0287) time: 3.2080 data: 0.0072 max mem: 31630 Epoch: [4] [2030/5278] eta: 2:52:48 lr: 4.503890338165274e-05 loss: 0.1635 (0.1698) loss_seg: 0.1621 (0.1682) loss_lansim: 0.1245 (0.1295) loss_contra: 0.0044 (0.0287) time: 3.1908 data: 0.0071 max mem: 31630 Epoch: [4] [2040/5278] eta: 2:52:15 lr: 4.503674699438916e-05 loss: 0.1635 (0.1700) loss_seg: 0.1621 (0.1684) loss_lansim: 0.1254 (0.1295) loss_contra: 0.0044 (0.0286) time: 3.1855 data: 0.0071 max mem: 31630 Epoch: [4] [2050/5278] eta: 2:51:44 lr: 4.503459059565339e-05 loss: 0.1688 (0.1701) loss_seg: 0.1667 (0.1685) loss_lansim: 0.1280 (0.1296) loss_contra: 0.0041 (0.0285) time: 3.1831 data: 0.0070 max mem: 31630 Epoch: [4] [2060/5278] eta: 2:51:11 lr: 4.503243418544476e-05 loss: 0.1640 (0.1701) loss_seg: 0.1627 (0.1685) loss_lansim: 0.1290 (0.1296) loss_contra: 0.0044 (0.0284) time: 3.1683 data: 0.0069 max mem: 31630 Epoch: [4] [2070/5278] eta: 2:50:40 lr: 4.503027776376259e-05 loss: 0.1642 (0.1701) loss_seg: 0.1628 (0.1685) loss_lansim: 0.1290 (0.1296) loss_contra: 0.0047 (0.0284) time: 3.1748 data: 0.0068 max mem: 31630 Epoch: [4] [2080/5278] eta: 2:50:07 lr: 4.5028121330606217e-05 loss: 0.1642 (0.1701) loss_seg: 0.1628 (0.1685) loss_lansim: 0.1282 (0.1295) loss_contra: 0.0041 (0.0283) time: 3.1806 data: 0.0068 max mem: 31630 Epoch: [4] [2090/5278] eta: 2:49:35 lr: 4.5025964885974976e-05 loss: 0.1642 (0.1701) loss_seg: 0.1628 (0.1685) loss_lansim: 0.1281 (0.1295) loss_contra: 0.0032 (0.0282) time: 3.1800 data: 0.0069 max mem: 31630 Epoch: [4] [2100/5278] eta: 2:49:03 lr: 4.502380842986818e-05 loss: 0.1635 (0.1700) loss_seg: 0.1621 (0.1685) loss_lansim: 0.1298 (0.1296) loss_contra: 0.0031 (0.0281) time: 3.1830 data: 0.0068 max mem: 31630 Epoch: [4] [2110/5278] eta: 2:48:30 lr: 4.502165196228517e-05 loss: 0.1688 (0.1702) loss_seg: 0.1667 (0.1686) loss_lansim: 0.1294 (0.1296) loss_contra: 0.0034 (0.0280) time: 3.1770 data: 0.0068 max mem: 31630 Epoch: [4] [2120/5278] eta: 2:47:57 lr: 4.501949548322527e-05 loss: 0.1688 (0.1702) loss_seg: 0.1667 (0.1687) loss_lansim: 0.1282 (0.1296) loss_contra: 0.0031 (0.0279) time: 3.1666 data: 0.0068 max mem: 31630 Epoch: [4] [2130/5278] eta: 2:47:25 lr: 4.501733899268781e-05 loss: 0.1697 (0.1705) loss_seg: 0.1684 (0.1689) loss_lansim: 0.1289 (0.1296) loss_contra: 0.0028 (0.0279) time: 3.1729 data: 0.0067 max mem: 31630 Epoch: [4] [2140/5278] eta: 2:46:53 lr: 4.501518249067211e-05 loss: 0.1701 (0.1706) loss_seg: 0.1687 (0.1690) loss_lansim: 0.1294 (0.1296) loss_contra: 0.0034 (0.0280) time: 3.1756 data: 0.0067 max mem: 31630 Epoch: [4] [2150/5278] eta: 2:46:22 lr: 4.5013025977177506e-05 loss: 0.1695 (0.1706) loss_seg: 0.1681 (0.1690) loss_lansim: 0.1284 (0.1296) loss_contra: 0.0041 (0.0280) time: 3.1722 data: 0.0067 max mem: 31630 Epoch: [4] [2160/5278] eta: 2:45:50 lr: 4.501086945220332e-05 loss: 0.1689 (0.1705) loss_seg: 0.1676 (0.1689) loss_lansim: 0.1281 (0.1296) loss_contra: 0.0041 (0.0279) time: 3.1760 data: 0.0066 max mem: 31630 Epoch: [4] [2170/5278] eta: 2:45:17 lr: 4.500871291574888e-05 loss: 0.1689 (0.1705) loss_seg: 0.1676 (0.1689) loss_lansim: 0.1280 (0.1296) loss_contra: 0.0046 (0.0280) time: 3.1696 data: 0.0066 max mem: 31630 Epoch: [4] [2180/5278] eta: 2:44:45 lr: 4.500655636781353e-05 loss: 0.1689 (0.1704) loss_seg: 0.1676 (0.1688) loss_lansim: 0.1277 (0.1295) loss_contra: 0.0068 (0.0280) time: 3.1699 data: 0.0067 max mem: 31630 Epoch: [4] [2190/5278] eta: 2:44:13 lr: 4.500439980839657e-05 loss: 0.1697 (0.1704) loss_seg: 0.1684 (0.1688) loss_lansim: 0.1274 (0.1295) loss_contra: 0.0062 (0.0284) time: 3.1745 data: 0.0066 max mem: 31630 Epoch: [4] [2200/5278] eta: 2:43:41 lr: 4.500224323749735e-05 loss: 0.1730 (0.1704) loss_seg: 0.1717 (0.1688) loss_lansim: 0.1274 (0.1295) loss_contra: 0.0074 (0.0284) time: 3.1717 data: 0.0066 max mem: 31630 Epoch: [4] [2210/5278] eta: 2:43:08 lr: 4.500008665511519e-05 loss: 0.1715 (0.1704) loss_seg: 0.1700 (0.1689) loss_lansim: 0.1274 (0.1295) loss_contra: 0.0089 (0.0286) time: 3.1696 data: 0.0066 max mem: 31630 Epoch: [4] [2220/5278] eta: 2:42:35 lr: 4.4997930061249414e-05 loss: 0.1703 (0.1704) loss_seg: 0.1690 (0.1688) loss_lansim: 0.1270 (0.1295) loss_contra: 0.0092 (0.0286) time: 3.1708 data: 0.0067 max mem: 31630 Epoch: [4] [2230/5278] eta: 2:42:03 lr: 4.499577345589935e-05 loss: 0.1661 (0.1703) loss_seg: 0.1642 (0.1688) loss_lansim: 0.1263 (0.1295) loss_contra: 0.0095 (0.0286) time: 3.1644 data: 0.0067 max mem: 31630 Epoch: [4] [2240/5278] eta: 2:41:30 lr: 4.499361683906433e-05 loss: 0.1584 (0.1702) loss_seg: 0.1570 (0.1686) loss_lansim: 0.1254 (0.1295) loss_contra: 0.0092 (0.0286) time: 3.1606 data: 0.0067 max mem: 31630 Epoch: [4] [2250/5278] eta: 2:40:57 lr: 4.499146021074368e-05 loss: 0.1594 (0.1702) loss_seg: 0.1580 (0.1686) loss_lansim: 0.1248 (0.1295) loss_contra: 0.0090 (0.0286) time: 3.1506 data: 0.0068 max mem: 31630 Epoch: [4] [2260/5278] eta: 2:40:25 lr: 4.498930357093672e-05 loss: 0.1594 (0.1702) loss_seg: 0.1575 (0.1686) loss_lansim: 0.1248 (0.1295) loss_contra: 0.0090 (0.0286) time: 3.1475 data: 0.0068 max mem: 31630 Epoch: [4] [2270/5278] eta: 2:39:52 lr: 4.498714691964279e-05 loss: 0.1594 (0.1702) loss_seg: 0.1575 (0.1686) loss_lansim: 0.1250 (0.1295) loss_contra: 0.0088 (0.0286) time: 3.1457 data: 0.0068 max mem: 31630 Epoch: [4] [2280/5278] eta: 2:39:20 lr: 4.49849902568612e-05 loss: 0.1576 (0.1702) loss_seg: 0.1562 (0.1686) loss_lansim: 0.1262 (0.1295) loss_contra: 0.0047 (0.0285) time: 3.1442 data: 0.0067 max mem: 31630 Epoch: [4] [2290/5278] eta: 2:38:47 lr: 4.498283358259129e-05 loss: 0.1571 (0.1702) loss_seg: 0.1557 (0.1686) loss_lansim: 0.1270 (0.1295) loss_contra: 0.0046 (0.0285) time: 3.1349 data: 0.0067 max mem: 31630 Epoch: [4] [2300/5278] eta: 2:38:14 lr: 4.498067689683239e-05 loss: 0.1571 (0.1703) loss_seg: 0.1540 (0.1687) loss_lansim: 0.1270 (0.1295) loss_contra: 0.0038 (0.0286) time: 3.1307 data: 0.0067 max mem: 31630 Epoch: [4] [2310/5278] eta: 2:37:41 lr: 4.497852019958381e-05 loss: 0.1536 (0.1703) loss_seg: 0.1522 (0.1687) loss_lansim: 0.1274 (0.1295) loss_contra: 0.0038 (0.0290) time: 3.1334 data: 0.0067 max mem: 31630 Epoch: [4] [2320/5278] eta: 2:37:09 lr: 4.497636349084489e-05 loss: 0.1536 (0.1703) loss_seg: 0.1522 (0.1687) loss_lansim: 0.1275 (0.1295) loss_contra: 0.0043 (0.0292) time: 3.1367 data: 0.0067 max mem: 31630 Epoch: [4] [2330/5278] eta: 2:36:37 lr: 4.497420677061496e-05 loss: 0.1531 (0.1701) loss_seg: 0.1510 (0.1686) loss_lansim: 0.1276 (0.1295) loss_contra: 0.0045 (0.0293) time: 3.1352 data: 0.0067 max mem: 31630 Epoch: [4] [2340/5278] eta: 2:36:04 lr: 4.497205003889333e-05 loss: 0.1536 (0.1700) loss_seg: 0.1522 (0.1684) loss_lansim: 0.1281 (0.1295) loss_contra: 0.0048 (0.0292) time: 3.1352 data: 0.0067 max mem: 31630 Epoch: [4] [2350/5278] eta: 2:35:33 lr: 4.4969893295679346e-05 loss: 0.1541 (0.1702) loss_seg: 0.1529 (0.1686) loss_lansim: 0.1287 (0.1295) loss_contra: 0.0048 (0.0294) time: 3.1458 data: 0.0066 max mem: 31630 Epoch: [4] [2360/5278] eta: 2:35:01 lr: 4.496773654097231e-05 loss: 0.1525 (0.1702) loss_seg: 0.1505 (0.1686) loss_lansim: 0.1304 (0.1296) loss_contra: 0.0048 (0.0293) time: 3.1532 data: 0.0066 max mem: 31630 Epoch: [4] [2370/5278] eta: 2:34:29 lr: 4.496557977477157e-05 loss: 0.1525 (0.1702) loss_seg: 0.1505 (0.1686) loss_lansim: 0.1335 (0.1297) loss_contra: 0.0047 (0.0292) time: 3.1569 data: 0.0066 max mem: 31630 Epoch: [4] [2380/5278] eta: 2:33:58 lr: 4.4963422997076456e-05 loss: 0.1528 (0.1703) loss_seg: 0.1511 (0.1687) loss_lansim: 0.1351 (0.1297) loss_contra: 0.0059 (0.0292) time: 3.1666 data: 0.0065 max mem: 31630 Epoch: [4] [2390/5278] eta: 2:33:26 lr: 4.496126620788627e-05 loss: 0.1527 (0.1702) loss_seg: 0.1510 (0.1686) loss_lansim: 0.1363 (0.1298) loss_contra: 0.0057 (0.0292) time: 3.1722 data: 0.0065 max mem: 31630 Epoch: [4] [2400/5278] eta: 2:32:53 lr: 4.495910940720035e-05 loss: 0.1526 (0.1701) loss_seg: 0.1510 (0.1685) loss_lansim: 0.1373 (0.1298) loss_contra: 0.0062 (0.0291) time: 3.1735 data: 0.0065 max mem: 31630 Epoch: [4] [2410/5278] eta: 2:32:21 lr: 4.4956952595018025e-05 loss: 0.1515 (0.1703) loss_seg: 0.1498 (0.1687) loss_lansim: 0.1360 (0.1298) loss_contra: 0.0062 (0.0290) time: 3.1745 data: 0.0064 max mem: 31630 Epoch: [4] [2420/5278] eta: 2:31:49 lr: 4.4954795771338625e-05 loss: 0.1526 (0.1703) loss_seg: 0.1511 (0.1687) loss_lansim: 0.1385 (0.1299) loss_contra: 0.0059 (0.0290) time: 3.1774 data: 0.0064 max mem: 31630 Epoch: [4] [2430/5278] eta: 2:31:17 lr: 4.4952638936161465e-05 loss: 0.1541 (0.1703) loss_seg: 0.1529 (0.1687) loss_lansim: 0.1401 (0.1300) loss_contra: 0.0052 (0.0289) time: 3.1753 data: 0.0063 max mem: 31630 Epoch: [4] [2440/5278] eta: 2:30:44 lr: 4.495048208948587e-05 loss: 0.1554 (0.1702) loss_seg: 0.1537 (0.1686) loss_lansim: 0.1415 (0.1300) loss_contra: 0.0057 (0.0289) time: 3.1726 data: 0.0063 max mem: 31630 Epoch: [4] [2450/5278] eta: 2:30:12 lr: 4.4948325231311186e-05 loss: 0.1532 (0.1702) loss_seg: 0.1517 (0.1686) loss_lansim: 0.1432 (0.1301) loss_contra: 0.0052 (0.0288) time: 3.1655 data: 0.0063 max mem: 31630 Epoch: [4] [2460/5278] eta: 2:29:39 lr: 4.494616836163672e-05 loss: 0.1554 (0.1701) loss_seg: 0.1537 (0.1685) loss_lansim: 0.1415 (0.1301) loss_contra: 0.0049 (0.0290) time: 3.1577 data: 0.0063 max mem: 31630 Epoch: [4] [2470/5278] eta: 2:29:07 lr: 4.494401148046179e-05 loss: 0.1538 (0.1700) loss_seg: 0.1522 (0.1684) loss_lansim: 0.1402 (0.1301) loss_contra: 0.0057 (0.0290) time: 3.1607 data: 0.0063 max mem: 31630 Epoch: [4] [2480/5278] eta: 2:28:35 lr: 4.494185458778574e-05 loss: 0.1532 (0.1700) loss_seg: 0.1517 (0.1684) loss_lansim: 0.1396 (0.1301) loss_contra: 0.0049 (0.0291) time: 3.1534 data: 0.0062 max mem: 31630 Epoch: [4] [2490/5278] eta: 2:28:04 lr: 4.493969768360788e-05 loss: 0.1558 (0.1700) loss_seg: 0.1541 (0.1685) loss_lansim: 0.1391 (0.1302) loss_contra: 0.0057 (0.0290) time: 3.1578 data: 0.0062 max mem: 31630 Epoch: [4] [2500/5278] eta: 2:27:32 lr: 4.493754076792755e-05 loss: 0.1559 (0.1700) loss_seg: 0.1546 (0.1684) loss_lansim: 0.1368 (0.1302) loss_contra: 0.0048 (0.0290) time: 3.1599 data: 0.0062 max mem: 31630 Epoch: [4] [2510/5278] eta: 2:27:00 lr: 4.493538384074407e-05 loss: 0.1576 (0.1702) loss_seg: 0.1563 (0.1686) loss_lansim: 0.1369 (0.1302) loss_contra: 0.0055 (0.0289) time: 3.1633 data: 0.0062 max mem: 31630 Epoch: [4] [2520/5278] eta: 2:26:28 lr: 4.4933226902056766e-05 loss: 0.1592 (0.1702) loss_seg: 0.1578 (0.1686) loss_lansim: 0.1362 (0.1302) loss_contra: 0.0044 (0.0288) time: 3.1619 data: 0.0062 max mem: 31630 Epoch: [4] [2530/5278] eta: 2:25:56 lr: 4.493106995186495e-05 loss: 0.1576 (0.1702) loss_seg: 0.1563 (0.1686) loss_lansim: 0.1336 (0.1302) loss_contra: 0.0057 (0.0288) time: 3.1724 data: 0.0063 max mem: 31630 Epoch: [4] [2540/5278] eta: 2:25:24 lr: 4.4928912990167965e-05 loss: 0.1593 (0.1702) loss_seg: 0.1579 (0.1687) loss_lansim: 0.1323 (0.1302) loss_contra: 0.0055 (0.0288) time: 3.1788 data: 0.0063 max mem: 31630 Epoch: [4] [2550/5278] eta: 2:24:52 lr: 4.4926756016965126e-05 loss: 0.1592 (0.1702) loss_seg: 0.1578 (0.1686) loss_lansim: 0.1308 (0.1302) loss_contra: 0.0055 (0.0288) time: 3.1780 data: 0.0064 max mem: 31630 Epoch: [4] [2560/5278] eta: 2:24:20 lr: 4.4924599032255764e-05 loss: 0.1593 (0.1702) loss_seg: 0.1579 (0.1686) loss_lansim: 0.1308 (0.1302) loss_contra: 0.0056 (0.0287) time: 3.1798 data: 0.0064 max mem: 31630 Epoch: [4] [2570/5278] eta: 2:23:48 lr: 4.4922442036039196e-05 loss: 0.1653 (0.1704) loss_seg: 0.1639 (0.1688) loss_lansim: 0.1308 (0.1302) loss_contra: 0.0055 (0.0287) time: 3.1833 data: 0.0064 max mem: 31630 Epoch: [4] [2580/5278] eta: 2:23:17 lr: 4.492028502831475e-05 loss: 0.1649 (0.1704) loss_seg: 0.1637 (0.1688) loss_lansim: 0.1311 (0.1303) loss_contra: 0.0056 (0.0287) time: 3.1872 data: 0.0065 max mem: 31630 Epoch: [4] [2590/5278] eta: 2:22:44 lr: 4.491812800908176e-05 loss: 0.1646 (0.1704) loss_seg: 0.1634 (0.1688) loss_lansim: 0.1319 (0.1303) loss_contra: 0.0053 (0.0287) time: 3.1809 data: 0.0065 max mem: 31630 Epoch: [4] [2600/5278] eta: 2:22:12 lr: 4.4915970978339533e-05 loss: 0.1646 (0.1703) loss_seg: 0.1634 (0.1688) loss_lansim: 0.1325 (0.1303) loss_contra: 0.0053 (0.0286) time: 3.1805 data: 0.0065 max mem: 31630 Epoch: [4] [2610/5278] eta: 2:21:41 lr: 4.491381393608741e-05 loss: 0.1605 (0.1703) loss_seg: 0.1589 (0.1687) loss_lansim: 0.1323 (0.1303) loss_contra: 0.0039 (0.0286) time: 3.1858 data: 0.0065 max mem: 31630 Epoch: [4] [2620/5278] eta: 2:21:09 lr: 4.4911656882324696e-05 loss: 0.1517 (0.1702) loss_seg: 0.1502 (0.1686) loss_lansim: 0.1320 (0.1303) loss_contra: 0.0044 (0.0287) time: 3.1824 data: 0.0066 max mem: 31630 Epoch: [4] [2630/5278] eta: 2:20:37 lr: 4.4909499817050744e-05 loss: 0.1528 (0.1702) loss_seg: 0.1514 (0.1686) loss_lansim: 0.1312 (0.1303) loss_contra: 0.0043 (0.0287) time: 3.1771 data: 0.0067 max mem: 31630 Epoch: [4] [2640/5278] eta: 2:20:05 lr: 4.490734274026485e-05 loss: 0.1517 (0.1701) loss_seg: 0.1502 (0.1685) loss_lansim: 0.1305 (0.1302) loss_contra: 0.0051 (0.0286) time: 3.1771 data: 0.0066 max mem: 31630 Epoch: [4] [2650/5278] eta: 2:19:33 lr: 4.4905185651966346e-05 loss: 0.1517 (0.1701) loss_seg: 0.1502 (0.1685) loss_lansim: 0.1290 (0.1302) loss_contra: 0.0044 (0.0285) time: 3.1782 data: 0.0065 max mem: 31630 Epoch: [4] [2660/5278] eta: 2:19:01 lr: 4.490302855215457e-05 loss: 0.1517 (0.1701) loss_seg: 0.1502 (0.1685) loss_lansim: 0.1290 (0.1302) loss_contra: 0.0051 (0.0286) time: 3.1795 data: 0.0065 max mem: 31630 Epoch: [4] [2670/5278] eta: 2:18:29 lr: 4.490087144082883e-05 loss: 0.1512 (0.1701) loss_seg: 0.1497 (0.1685) loss_lansim: 0.1275 (0.1302) loss_contra: 0.0040 (0.0286) time: 3.1771 data: 0.0065 max mem: 31630 Epoch: [4] [2680/5278] eta: 2:17:56 lr: 4.4898714317988456e-05 loss: 0.1512 (0.1701) loss_seg: 0.1496 (0.1685) loss_lansim: 0.1263 (0.1302) loss_contra: 0.0043 (0.0286) time: 3.1686 data: 0.0065 max mem: 31630 Epoch: [4] [2690/5278] eta: 2:17:25 lr: 4.489655718363277e-05 loss: 0.1512 (0.1702) loss_seg: 0.1497 (0.1686) loss_lansim: 0.1275 (0.1303) loss_contra: 0.0037 (0.0285) time: 3.1744 data: 0.0065 max mem: 31630 Epoch: [4] [2700/5278] eta: 2:16:53 lr: 4.4894400037761096e-05 loss: 0.1517 (0.1702) loss_seg: 0.1502 (0.1686) loss_lansim: 0.1263 (0.1303) loss_contra: 0.0037 (0.0284) time: 3.1795 data: 0.0066 max mem: 31630 Epoch: [4] [2710/5278] eta: 2:16:21 lr: 4.4892242880372766e-05 loss: 0.1557 (0.1702) loss_seg: 0.1542 (0.1687) loss_lansim: 0.1263 (0.1303) loss_contra: 0.0042 (0.0283) time: 3.1735 data: 0.0066 max mem: 31630 Epoch: [4] [2720/5278] eta: 2:15:49 lr: 4.48900857114671e-05 loss: 0.1584 (0.1703) loss_seg: 0.1568 (0.1687) loss_lansim: 0.1262 (0.1303) loss_contra: 0.0042 (0.0282) time: 3.1742 data: 0.0066 max mem: 31630 Epoch: [4] [2730/5278] eta: 2:15:17 lr: 4.48879285310434e-05 loss: 0.1637 (0.1704) loss_seg: 0.1624 (0.1688) loss_lansim: 0.1263 (0.1303) loss_contra: 0.0038 (0.0282) time: 3.1808 data: 0.0065 max mem: 31630 Epoch: [4] [2740/5278] eta: 2:14:46 lr: 4.488577133910102e-05 loss: 0.1692 (0.1704) loss_seg: 0.1679 (0.1688) loss_lansim: 0.1304 (0.1304) loss_contra: 0.0037 (0.0281) time: 3.1809 data: 0.0066 max mem: 31630 Epoch: [4] [2750/5278] eta: 2:14:13 lr: 4.4883614135639265e-05 loss: 0.1709 (0.1704) loss_seg: 0.1694 (0.1688) loss_lansim: 0.1353 (0.1304) loss_contra: 0.0037 (0.0280) time: 3.1786 data: 0.0067 max mem: 31630 Epoch: [4] [2760/5278] eta: 2:13:41 lr: 4.488145692065747e-05 loss: 0.1709 (0.1705) loss_seg: 0.1694 (0.1689) loss_lansim: 0.1333 (0.1304) loss_contra: 0.0027 (0.0279) time: 3.1795 data: 0.0067 max mem: 31630 Epoch: [4] [2770/5278] eta: 2:13:09 lr: 4.4879299694154945e-05 loss: 0.1709 (0.1705) loss_seg: 0.1694 (0.1690) loss_lansim: 0.1346 (0.1304) loss_contra: 0.0027 (0.0278) time: 3.1735 data: 0.0067 max mem: 31630 Epoch: [4] [2780/5278] eta: 2:12:37 lr: 4.487714245613103e-05 loss: 0.1698 (0.1704) loss_seg: 0.1683 (0.1688) loss_lansim: 0.1353 (0.1305) loss_contra: 0.0025 (0.0278) time: 3.1777 data: 0.0068 max mem: 31630 Epoch: [4] [2790/5278] eta: 2:12:05 lr: 4.487498520658503e-05 loss: 0.1683 (0.1705) loss_seg: 0.1670 (0.1689) loss_lansim: 0.1349 (0.1305) loss_contra: 0.0027 (0.0277) time: 3.1773 data: 0.0068 max mem: 31630 Epoch: [4] [2800/5278] eta: 2:11:34 lr: 4.4872827945516284e-05 loss: 0.1673 (0.1704) loss_seg: 0.1658 (0.1688) loss_lansim: 0.1353 (0.1305) loss_contra: 0.0027 (0.0277) time: 3.1798 data: 0.0068 max mem: 31630 Epoch: [4] [2810/5278] eta: 2:11:02 lr: 4.48706706729241e-05 loss: 0.1675 (0.1704) loss_seg: 0.1660 (0.1688) loss_lansim: 0.1361 (0.1305) loss_contra: 0.0025 (0.0278) time: 3.1762 data: 0.0068 max mem: 31630 Epoch: [4] [2820/5278] eta: 2:10:29 lr: 4.4868513388807816e-05 loss: 0.1662 (0.1704) loss_seg: 0.1650 (0.1688) loss_lansim: 0.1365 (0.1306) loss_contra: 0.0024 (0.0277) time: 3.1735 data: 0.0068 max mem: 31630 Epoch: [4] [2830/5278] eta: 2:09:57 lr: 4.486635609316675e-05 loss: 0.1600 (0.1704) loss_seg: 0.1585 (0.1688) loss_lansim: 0.1399 (0.1306) loss_contra: 0.0024 (0.0277) time: 3.1690 data: 0.0068 max mem: 31630 Epoch: [4] [2840/5278] eta: 2:09:25 lr: 4.486419878600021e-05 loss: 0.1545 (0.1704) loss_seg: 0.1527 (0.1688) loss_lansim: 0.1399 (0.1307) loss_contra: 0.0027 (0.0279) time: 3.1653 data: 0.0067 max mem: 31630 Epoch: [4] [2850/5278] eta: 2:08:53 lr: 4.486204146730754e-05 loss: 0.1539 (0.1704) loss_seg: 0.1523 (0.1688) loss_lansim: 0.1399 (0.1307) loss_contra: 0.0034 (0.0279) time: 3.1665 data: 0.0067 max mem: 31630 Epoch: [4] [2860/5278] eta: 2:08:21 lr: 4.485988413708805e-05 loss: 0.1524 (0.1704) loss_seg: 0.1510 (0.1688) loss_lansim: 0.1408 (0.1308) loss_contra: 0.0044 (0.0279) time: 3.1667 data: 0.0069 max mem: 31630 Epoch: [4] [2870/5278] eta: 2:07:49 lr: 4.485772679534106e-05 loss: 0.1600 (0.1705) loss_seg: 0.1585 (0.1689) loss_lansim: 0.1408 (0.1308) loss_contra: 0.0048 (0.0279) time: 3.1693 data: 0.0070 max mem: 31630 Epoch: [4] [2880/5278] eta: 2:07:17 lr: 4.485556944206591e-05 loss: 0.1608 (0.1704) loss_seg: 0.1592 (0.1688) loss_lansim: 0.1422 (0.1308) loss_contra: 0.0052 (0.0279) time: 3.1685 data: 0.0069 max mem: 31630 Epoch: [4] [2890/5278] eta: 2:06:45 lr: 4.48534120772619e-05 loss: 0.1545 (0.1703) loss_seg: 0.1530 (0.1687) loss_lansim: 0.1423 (0.1309) loss_contra: 0.0047 (0.0278) time: 3.1665 data: 0.0070 max mem: 31630 Epoch: [4] [2900/5278] eta: 2:06:13 lr: 4.4851254700928366e-05 loss: 0.1601 (0.1704) loss_seg: 0.1582 (0.1688) loss_lansim: 0.1415 (0.1309) loss_contra: 0.0047 (0.0278) time: 3.1628 data: 0.0070 max mem: 31630 Epoch: [4] [2910/5278] eta: 2:05:42 lr: 4.4849097313064627e-05 loss: 0.1573 (0.1704) loss_seg: 0.1559 (0.1688) loss_lansim: 0.1406 (0.1309) loss_contra: 0.0048 (0.0278) time: 3.1671 data: 0.0071 max mem: 31630 Epoch: [4] [2920/5278] eta: 2:05:09 lr: 4.484693991367001e-05 loss: 0.1573 (0.1704) loss_seg: 0.1559 (0.1688) loss_lansim: 0.1397 (0.1309) loss_contra: 0.0076 (0.0278) time: 3.1667 data: 0.0072 max mem: 31630 Epoch: [4] [2930/5278] eta: 2:04:37 lr: 4.484478250274383e-05 loss: 0.1558 (0.1704) loss_seg: 0.1540 (0.1688) loss_lansim: 0.1389 (0.1310) loss_contra: 0.0076 (0.0278) time: 3.1647 data: 0.0072 max mem: 31630 Epoch: [4] [2940/5278] eta: 2:04:06 lr: 4.48426250802854e-05 loss: 0.1573 (0.1704) loss_seg: 0.1559 (0.1688) loss_lansim: 0.1372 (0.1310) loss_contra: 0.0076 (0.0278) time: 3.1722 data: 0.0072 max mem: 31630 Epoch: [4] [2950/5278] eta: 2:03:33 lr: 4.484046764629406e-05 loss: 0.1594 (0.1705) loss_seg: 0.1575 (0.1689) loss_lansim: 0.1381 (0.1310) loss_contra: 0.0056 (0.0277) time: 3.1707 data: 0.0073 max mem: 31630 Epoch: [4] [2960/5278] eta: 2:03:02 lr: 4.483831020076913e-05 loss: 0.1558 (0.1704) loss_seg: 0.1540 (0.1688) loss_lansim: 0.1399 (0.1311) loss_contra: 0.0053 (0.0276) time: 3.1722 data: 0.0071 max mem: 31630 Epoch: [4] [2970/5278] eta: 2:02:30 lr: 4.483615274370992e-05 loss: 0.1532 (0.1705) loss_seg: 0.1513 (0.1689) loss_lansim: 0.1388 (0.1311) loss_contra: 0.0043 (0.0276) time: 3.1741 data: 0.0070 max mem: 31630 Epoch: [4] [2980/5278] eta: 2:01:58 lr: 4.483399527511576e-05 loss: 0.1558 (0.1704) loss_seg: 0.1540 (0.1688) loss_lansim: 0.1388 (0.1312) loss_contra: 0.0047 (0.0275) time: 3.1731 data: 0.0070 max mem: 31630 Epoch: [4] [2990/5278] eta: 2:01:26 lr: 4.483183779498597e-05 loss: 0.1558 (0.1703) loss_seg: 0.1540 (0.1687) loss_lansim: 0.1397 (0.1312) loss_contra: 0.0047 (0.0275) time: 3.1726 data: 0.0069 max mem: 31630 Epoch: [4] [3000/5278] eta: 2:00:54 lr: 4.482968030331986e-05 loss: 0.1558 (0.1703) loss_seg: 0.1539 (0.1687) loss_lansim: 0.1399 (0.1313) loss_contra: 0.0055 (0.0277) time: 3.1732 data: 0.0068 max mem: 31630 Epoch: [4] [3010/5278] eta: 2:00:22 lr: 4.4827522800116786e-05 loss: 0.1561 (0.1704) loss_seg: 0.1541 (0.1688) loss_lansim: 0.1419 (0.1313) loss_contra: 0.0055 (0.0276) time: 3.1696 data: 0.0067 max mem: 31630 Epoch: [4] [3020/5278] eta: 1:59:50 lr: 4.482536528537603e-05 loss: 0.1532 (0.1703) loss_seg: 0.1513 (0.1687) loss_lansim: 0.1419 (0.1313) loss_contra: 0.0053 (0.0277) time: 3.1742 data: 0.0066 max mem: 31630 Epoch: [4] [3030/5278] eta: 1:59:18 lr: 4.482320775909693e-05 loss: 0.1561 (0.1704) loss_seg: 0.1546 (0.1688) loss_lansim: 0.1419 (0.1314) loss_contra: 0.0048 (0.0277) time: 3.1779 data: 0.0066 max mem: 31630 Epoch: [4] [3040/5278] eta: 1:58:46 lr: 4.482105022127881e-05 loss: 0.1561 (0.1704) loss_seg: 0.1546 (0.1688) loss_lansim: 0.1431 (0.1314) loss_contra: 0.0040 (0.0276) time: 3.1700 data: 0.0066 max mem: 31630 Epoch: [4] [3050/5278] eta: 1:58:14 lr: 4.4818892671920985e-05 loss: 0.1561 (0.1705) loss_seg: 0.1546 (0.1689) loss_lansim: 0.1418 (0.1314) loss_contra: 0.0040 (0.0275) time: 3.1724 data: 0.0066 max mem: 31630 Epoch: [4] [3060/5278] eta: 1:57:42 lr: 4.481673511102278e-05 loss: 0.1586 (0.1705) loss_seg: 0.1568 (0.1689) loss_lansim: 0.1400 (0.1314) loss_contra: 0.0033 (0.0275) time: 3.1723 data: 0.0065 max mem: 31630 Epoch: [4] [3070/5278] eta: 1:57:10 lr: 4.481457753858351e-05 loss: 0.1613 (0.1705) loss_seg: 0.1599 (0.1689) loss_lansim: 0.1399 (0.1314) loss_contra: 0.0037 (0.0274) time: 3.1720 data: 0.0065 max mem: 31630 Epoch: [4] [3080/5278] eta: 1:56:38 lr: 4.4812419954602496e-05 loss: 0.1603 (0.1705) loss_seg: 0.1588 (0.1689) loss_lansim: 0.1396 (0.1315) loss_contra: 0.0030 (0.0274) time: 3.1727 data: 0.0065 max mem: 31630 Epoch: [4] [3090/5278] eta: 1:56:06 lr: 4.4810262359079075e-05 loss: 0.1621 (0.1705) loss_seg: 0.1606 (0.1689) loss_lansim: 0.1372 (0.1315) loss_contra: 0.0034 (0.0274) time: 3.1672 data: 0.0065 max mem: 31630 Epoch: [4] [3100/5278] eta: 1:55:34 lr: 4.4808104752012554e-05 loss: 0.1621 (0.1704) loss_seg: 0.1606 (0.1689) loss_lansim: 0.1368 (0.1314) loss_contra: 0.0030 (0.0275) time: 3.1684 data: 0.0065 max mem: 31630 Epoch: [4] [3110/5278] eta: 1:55:03 lr: 4.480594713340225e-05 loss: 0.1645 (0.1705) loss_seg: 0.1623 (0.1689) loss_lansim: 0.1341 (0.1315) loss_contra: 0.0034 (0.0275) time: 3.1720 data: 0.0065 max mem: 31630 Epoch: [4] [3120/5278] eta: 1:54:31 lr: 4.480378950324749e-05 loss: 0.1668 (0.1704) loss_seg: 0.1655 (0.1689) loss_lansim: 0.1332 (0.1315) loss_contra: 0.0032 (0.0274) time: 3.1706 data: 0.0065 max mem: 31630 Epoch: [4] [3130/5278] eta: 1:53:59 lr: 4.48016318615476e-05 loss: 0.1674 (0.1707) loss_seg: 0.1655 (0.1691) loss_lansim: 0.1319 (0.1315) loss_contra: 0.0037 (0.0274) time: 3.1727 data: 0.0066 max mem: 31630 Epoch: [4] [3140/5278] eta: 1:53:27 lr: 4.479947420830188e-05 loss: 0.1702 (0.1708) loss_seg: 0.1688 (0.1692) loss_lansim: 0.1324 (0.1315) loss_contra: 0.0050 (0.0274) time: 3.1689 data: 0.0066 max mem: 31630 Epoch: [4] [3150/5278] eta: 1:52:55 lr: 4.479731654350968e-05 loss: 0.1702 (0.1707) loss_seg: 0.1688 (0.1691) loss_lansim: 0.1350 (0.1316) loss_contra: 0.0055 (0.0273) time: 3.1763 data: 0.0066 max mem: 31630 Epoch: [4] [3160/5278] eta: 1:52:23 lr: 4.479515886717029e-05 loss: 0.1682 (0.1707) loss_seg: 0.1669 (0.1691) loss_lansim: 0.1345 (0.1316) loss_contra: 0.0062 (0.0273) time: 3.1761 data: 0.0066 max mem: 31630 Epoch: [4] [3170/5278] eta: 1:51:51 lr: 4.4793001179283054e-05 loss: 0.1675 (0.1708) loss_seg: 0.1661 (0.1692) loss_lansim: 0.1345 (0.1316) loss_contra: 0.0063 (0.0272) time: 3.1735 data: 0.0066 max mem: 31630 Epoch: [4] [3180/5278] eta: 1:51:19 lr: 4.4790843479847284e-05 loss: 0.1675 (0.1707) loss_seg: 0.1661 (0.1691) loss_lansim: 0.1341 (0.1316) loss_contra: 0.0067 (0.0272) time: 3.1730 data: 0.0066 max mem: 31630 Epoch: [4] [3190/5278] eta: 1:50:47 lr: 4.4788685768862295e-05 loss: 0.1699 (0.1708) loss_seg: 0.1671 (0.1692) loss_lansim: 0.1345 (0.1316) loss_contra: 0.0077 (0.0273) time: 3.1787 data: 0.0067 max mem: 31630 Epoch: [4] [3200/5278] eta: 1:50:14 lr: 4.478652804632741e-05 loss: 0.1714 (0.1709) loss_seg: 0.1698 (0.1693) loss_lansim: 0.1365 (0.1316) loss_contra: 0.0075 (0.0272) time: 3.1605 data: 0.0066 max mem: 31630 Epoch: [4] [3210/5278] eta: 1:49:41 lr: 4.478437031224195e-05 loss: 0.1725 (0.1709) loss_seg: 0.1712 (0.1693) loss_lansim: 0.1373 (0.1317) loss_contra: 0.0067 (0.0272) time: 3.1409 data: 0.0066 max mem: 31630 Epoch: [4] [3220/5278] eta: 1:49:09 lr: 4.478221256660524e-05 loss: 0.1727 (0.1709) loss_seg: 0.1712 (0.1693) loss_lansim: 0.1391 (0.1317) loss_contra: 0.0067 (0.0271) time: 3.1330 data: 0.0066 max mem: 31630 Epoch: [4] [3230/5278] eta: 1:48:36 lr: 4.478005480941659e-05 loss: 0.1666 (0.1709) loss_seg: 0.1652 (0.1693) loss_lansim: 0.1415 (0.1318) loss_contra: 0.0064 (0.0271) time: 3.1124 data: 0.0065 max mem: 31630 Epoch: [4] [3240/5278] eta: 1:48:03 lr: 4.4777897040675324e-05 loss: 0.1642 (0.1709) loss_seg: 0.1629 (0.1693) loss_lansim: 0.1415 (0.1318) loss_contra: 0.0064 (0.0271) time: 3.1095 data: 0.0064 max mem: 31630 Epoch: [4] [3250/5278] eta: 1:47:31 lr: 4.477573926038076e-05 loss: 0.1637 (0.1709) loss_seg: 0.1621 (0.1693) loss_lansim: 0.1402 (0.1318) loss_contra: 0.0067 (0.0270) time: 3.0967 data: 0.0064 max mem: 31630 Epoch: [4] [3260/5278] eta: 1:46:59 lr: 4.4773581468532225e-05 loss: 0.1637 (0.1708) loss_seg: 0.1621 (0.1692) loss_lansim: 0.1385 (0.1318) loss_contra: 0.0064 (0.0270) time: 3.0883 data: 0.0063 max mem: 31630 Epoch: [4] [3270/5278] eta: 1:46:26 lr: 4.477142366512902e-05 loss: 0.1606 (0.1707) loss_seg: 0.1592 (0.1692) loss_lansim: 0.1383 (0.1318) loss_contra: 0.0061 (0.0269) time: 3.0747 data: 0.0062 max mem: 31630 Epoch: [4] [3280/5278] eta: 1:45:54 lr: 4.476926585017049e-05 loss: 0.1637 (0.1708) loss_seg: 0.1621 (0.1692) loss_lansim: 0.1368 (0.1318) loss_contra: 0.0052 (0.0269) time: 3.0706 data: 0.0062 max mem: 31630 Epoch: [4] [3290/5278] eta: 1:45:22 lr: 4.476710802365593e-05 loss: 0.1606 (0.1708) loss_seg: 0.1592 (0.1692) loss_lansim: 0.1364 (0.1318) loss_contra: 0.0048 (0.0268) time: 3.0701 data: 0.0061 max mem: 31630 Epoch: [4] [3300/5278] eta: 1:44:50 lr: 4.476495018558468e-05 loss: 0.1570 (0.1708) loss_seg: 0.1556 (0.1693) loss_lansim: 0.1373 (0.1318) loss_contra: 0.0035 (0.0268) time: 3.0754 data: 0.0061 max mem: 31630 Epoch: [4] [3310/5278] eta: 1:44:17 lr: 4.476279233595605e-05 loss: 0.1531 (0.1708) loss_seg: 0.1516 (0.1692) loss_lansim: 0.1353 (0.1318) loss_contra: 0.0035 (0.0267) time: 3.0869 data: 0.0061 max mem: 31630 Epoch: [4] [3320/5278] eta: 1:43:45 lr: 4.476063447476935e-05 loss: 0.1537 (0.1708) loss_seg: 0.1521 (0.1692) loss_lansim: 0.1336 (0.1318) loss_contra: 0.0039 (0.0268) time: 3.0918 data: 0.0061 max mem: 31630 Epoch: [4] [3330/5278] eta: 1:43:13 lr: 4.475847660202391e-05 loss: 0.1576 (0.1708) loss_seg: 0.1563 (0.1692) loss_lansim: 0.1319 (0.1318) loss_contra: 0.0042 (0.0268) time: 3.1012 data: 0.0060 max mem: 31630 Epoch: [4] [3340/5278] eta: 1:42:41 lr: 4.4756318717719056e-05 loss: 0.1606 (0.1708) loss_seg: 0.1592 (0.1692) loss_lansim: 0.1303 (0.1318) loss_contra: 0.0039 (0.0268) time: 3.1062 data: 0.0060 max mem: 31630 Epoch: [4] [3350/5278] eta: 1:42:08 lr: 4.475416082185408e-05 loss: 0.1606 (0.1708) loss_seg: 0.1592 (0.1692) loss_lansim: 0.1295 (0.1318) loss_contra: 0.0042 (0.0267) time: 3.1009 data: 0.0060 max mem: 31630 Epoch: [4] [3360/5278] eta: 1:41:36 lr: 4.475200291442833e-05 loss: 0.1626 (0.1707) loss_seg: 0.1611 (0.1692) loss_lansim: 0.1295 (0.1318) loss_contra: 0.0045 (0.0267) time: 3.1034 data: 0.0060 max mem: 31630 Epoch: [4] [3370/5278] eta: 1:41:04 lr: 4.474984499544111e-05 loss: 0.1608 (0.1707) loss_seg: 0.1596 (0.1691) loss_lansim: 0.1295 (0.1317) loss_contra: 0.0036 (0.0266) time: 3.1102 data: 0.0060 max mem: 31630 Epoch: [4] [3380/5278] eta: 1:40:32 lr: 4.4747687064891746e-05 loss: 0.1579 (0.1707) loss_seg: 0.1566 (0.1691) loss_lansim: 0.1302 (0.1318) loss_contra: 0.0036 (0.0266) time: 3.1050 data: 0.0059 max mem: 31630 Epoch: [4] [3390/5278] eta: 1:39:59 lr: 4.4745529122779546e-05 loss: 0.1584 (0.1707) loss_seg: 0.1572 (0.1691) loss_lansim: 0.1295 (0.1317) loss_contra: 0.0038 (0.0265) time: 3.0946 data: 0.0059 max mem: 31630 Epoch: [4] [3400/5278] eta: 1:39:27 lr: 4.474337116910383e-05 loss: 0.1579 (0.1707) loss_seg: 0.1566 (0.1691) loss_lansim: 0.1276 (0.1317) loss_contra: 0.0036 (0.0265) time: 3.0946 data: 0.0059 max mem: 31630 Epoch: [4] [3410/5278] eta: 1:38:55 lr: 4.474121320386393e-05 loss: 0.1608 (0.1708) loss_seg: 0.1596 (0.1692) loss_lansim: 0.1255 (0.1317) loss_contra: 0.0036 (0.0265) time: 3.0936 data: 0.0060 max mem: 31630 Epoch: [4] [3420/5278] eta: 1:38:22 lr: 4.4739055227059145e-05 loss: 0.1626 (0.1708) loss_seg: 0.1611 (0.1692) loss_lansim: 0.1274 (0.1317) loss_contra: 0.0035 (0.0267) time: 3.0892 data: 0.0060 max mem: 31630 Epoch: [4] [3430/5278] eta: 1:37:50 lr: 4.4736897238688816e-05 loss: 0.1608 (0.1708) loss_seg: 0.1596 (0.1692) loss_lansim: 0.1273 (0.1317) loss_contra: 0.0034 (0.0266) time: 3.0887 data: 0.0060 max mem: 31630 Epoch: [4] [3440/5278] eta: 1:37:18 lr: 4.473473923875224e-05 loss: 0.1590 (0.1708) loss_seg: 0.1578 (0.1692) loss_lansim: 0.1273 (0.1317) loss_contra: 0.0033 (0.0266) time: 3.0827 data: 0.0061 max mem: 31630 Epoch: [4] [3450/5278] eta: 1:36:46 lr: 4.4732581227248735e-05 loss: 0.1595 (0.1707) loss_seg: 0.1582 (0.1691) loss_lansim: 0.1273 (0.1317) loss_contra: 0.0033 (0.0266) time: 3.0888 data: 0.0060 max mem: 31630 Epoch: [4] [3460/5278] eta: 1:36:13 lr: 4.473042320417765e-05 loss: 0.1600 (0.1707) loss_seg: 0.1587 (0.1691) loss_lansim: 0.1273 (0.1316) loss_contra: 0.0028 (0.0266) time: 3.0817 data: 0.0060 max mem: 31630 Epoch: [4] [3470/5278] eta: 1:35:41 lr: 4.472826516953826e-05 loss: 0.1600 (0.1708) loss_seg: 0.1587 (0.1692) loss_lansim: 0.1258 (0.1316) loss_contra: 0.0034 (0.0265) time: 3.0776 data: 0.0061 max mem: 31630 Epoch: [4] [3480/5278] eta: 1:35:09 lr: 4.4726107123329906e-05 loss: 0.1621 (0.1707) loss_seg: 0.1607 (0.1692) loss_lansim: 0.1258 (0.1316) loss_contra: 0.0035 (0.0265) time: 3.0798 data: 0.0062 max mem: 31630 Epoch: [4] [3490/5278] eta: 1:34:37 lr: 4.47239490655519e-05 loss: 0.1618 (0.1707) loss_seg: 0.1593 (0.1691) loss_lansim: 0.1258 (0.1316) loss_contra: 0.0033 (0.0265) time: 3.0835 data: 0.0062 max mem: 31630 Epoch: [4] [3500/5278] eta: 1:34:04 lr: 4.472179099620357e-05 loss: 0.1638 (0.1707) loss_seg: 0.1624 (0.1691) loss_lansim: 0.1273 (0.1316) loss_contra: 0.0035 (0.0265) time: 3.0845 data: 0.0062 max mem: 31630 Epoch: [4] [3510/5278] eta: 1:33:32 lr: 4.4719632915284225e-05 loss: 0.1626 (0.1707) loss_seg: 0.1609 (0.1691) loss_lansim: 0.1281 (0.1316) loss_contra: 0.0044 (0.0265) time: 3.0805 data: 0.0062 max mem: 31630 Epoch: [4] [3520/5278] eta: 1:33:00 lr: 4.4717474822793184e-05 loss: 0.1619 (0.1707) loss_seg: 0.1605 (0.1691) loss_lansim: 0.1276 (0.1316) loss_contra: 0.0047 (0.0265) time: 3.0826 data: 0.0061 max mem: 31630 Epoch: [4] [3530/5278] eta: 1:32:28 lr: 4.471531671872976e-05 loss: 0.1632 (0.1707) loss_seg: 0.1618 (0.1692) loss_lansim: 0.1276 (0.1316) loss_contra: 0.0049 (0.0264) time: 3.0885 data: 0.0061 max mem: 31630 Epoch: [4] [3540/5278] eta: 1:31:56 lr: 4.4713158603093275e-05 loss: 0.1628 (0.1707) loss_seg: 0.1615 (0.1691) loss_lansim: 0.1270 (0.1315) loss_contra: 0.0050 (0.0264) time: 3.0881 data: 0.0061 max mem: 31630 Epoch: [4] [3550/5278] eta: 1:31:24 lr: 4.4711000475883045e-05 loss: 0.1626 (0.1708) loss_seg: 0.1609 (0.1692) loss_lansim: 0.1270 (0.1315) loss_contra: 0.0050 (0.0264) time: 3.0897 data: 0.0061 max mem: 31630 Epoch: [4] [3560/5278] eta: 1:30:52 lr: 4.470884233709839e-05 loss: 0.1619 (0.1708) loss_seg: 0.1605 (0.1692) loss_lansim: 0.1281 (0.1316) loss_contra: 0.0053 (0.0263) time: 3.0926 data: 0.0062 max mem: 31630 Epoch: [4] [3570/5278] eta: 1:30:19 lr: 4.4706684186738625e-05 loss: 0.1606 (0.1707) loss_seg: 0.1587 (0.1692) loss_lansim: 0.1288 (0.1316) loss_contra: 0.0055 (0.0263) time: 3.0907 data: 0.0061 max mem: 31630 Epoch: [4] [3580/5278] eta: 1:29:47 lr: 4.470452602480306e-05 loss: 0.1606 (0.1707) loss_seg: 0.1587 (0.1691) loss_lansim: 0.1289 (0.1316) loss_contra: 0.0052 (0.0263) time: 3.0950 data: 0.0061 max mem: 31630 Epoch: [4] [3590/5278] eta: 1:29:15 lr: 4.4702367851291026e-05 loss: 0.1590 (0.1707) loss_seg: 0.1577 (0.1691) loss_lansim: 0.1291 (0.1315) loss_contra: 0.0050 (0.0262) time: 3.0942 data: 0.0061 max mem: 31630 Epoch: [4] [3600/5278] eta: 1:28:43 lr: 4.470020966620183e-05 loss: 0.1566 (0.1706) loss_seg: 0.1551 (0.1690) loss_lansim: 0.1288 (0.1315) loss_contra: 0.0041 (0.0262) time: 3.0911 data: 0.0061 max mem: 31630 Epoch: [4] [3610/5278] eta: 1:28:11 lr: 4.4698051469534795e-05 loss: 0.1582 (0.1706) loss_seg: 0.1571 (0.1690) loss_lansim: 0.1282 (0.1315) loss_contra: 0.0032 (0.0261) time: 3.0972 data: 0.0061 max mem: 31630 Epoch: [4] [3620/5278] eta: 1:27:39 lr: 4.469589326128923e-05 loss: 0.1566 (0.1706) loss_seg: 0.1551 (0.1690) loss_lansim: 0.1266 (0.1314) loss_contra: 0.0027 (0.0261) time: 3.0942 data: 0.0061 max mem: 31630 Epoch: [4] [3630/5278] eta: 1:27:07 lr: 4.469373504146446e-05 loss: 0.1554 (0.1706) loss_seg: 0.1523 (0.1690) loss_lansim: 0.1266 (0.1315) loss_contra: 0.0026 (0.0260) time: 3.0928 data: 0.0061 max mem: 31630 Epoch: [4] [3640/5278] eta: 1:26:35 lr: 4.4691576810059795e-05 loss: 0.1538 (0.1706) loss_seg: 0.1523 (0.1690) loss_lansim: 0.1245 (0.1314) loss_contra: 0.0030 (0.0260) time: 3.0896 data: 0.0061 max mem: 31630 Epoch: [4] [3650/5278] eta: 1:26:02 lr: 4.4689418567074554e-05 loss: 0.1542 (0.1707) loss_seg: 0.1529 (0.1691) loss_lansim: 0.1245 (0.1314) loss_contra: 0.0030 (0.0260) time: 3.0761 data: 0.0062 max mem: 31630 Epoch: [4] [3660/5278] eta: 1:25:30 lr: 4.468726031250805e-05 loss: 0.1560 (0.1706) loss_seg: 0.1549 (0.1691) loss_lansim: 0.1238 (0.1314) loss_contra: 0.0029 (0.0259) time: 3.0700 data: 0.0062 max mem: 31630 Epoch: [4] [3670/5278] eta: 1:24:58 lr: 4.468510204635961e-05 loss: 0.1588 (0.1706) loss_seg: 0.1576 (0.1690) loss_lansim: 0.1238 (0.1314) loss_contra: 0.0022 (0.0259) time: 3.0725 data: 0.0063 max mem: 31630 Epoch: [4] [3680/5278] eta: 1:24:25 lr: 4.468294376862854e-05 loss: 0.1610 (0.1706) loss_seg: 0.1600 (0.1690) loss_lansim: 0.1206 (0.1313) loss_contra: 0.0030 (0.0259) time: 3.0631 data: 0.0063 max mem: 31630 Epoch: [4] [3690/5278] eta: 1:23:53 lr: 4.468078547931416e-05 loss: 0.1621 (0.1706) loss_seg: 0.1610 (0.1690) loss_lansim: 0.1179 (0.1313) loss_contra: 0.0030 (0.0258) time: 3.0564 data: 0.0064 max mem: 31630 Epoch: [4] [3700/5278] eta: 1:23:21 lr: 4.4678627178415784e-05 loss: 0.1626 (0.1706) loss_seg: 0.1614 (0.1690) loss_lansim: 0.1176 (0.1312) loss_contra: 0.0036 (0.0258) time: 3.0537 data: 0.0064 max mem: 31630 Epoch: [4] [3710/5278] eta: 1:22:49 lr: 4.467646886593272e-05 loss: 0.1625 (0.1706) loss_seg: 0.1610 (0.1690) loss_lansim: 0.1184 (0.1312) loss_contra: 0.0040 (0.0258) time: 3.0494 data: 0.0066 max mem: 31630 Epoch: [4] [3720/5278] eta: 1:22:16 lr: 4.467431054186431e-05 loss: 0.1591 (0.1705) loss_seg: 0.1575 (0.1689) loss_lansim: 0.1176 (0.1312) loss_contra: 0.0050 (0.0258) time: 3.0427 data: 0.0066 max mem: 31630 Epoch: [4] [3730/5278] eta: 1:21:44 lr: 4.467215220620985e-05 loss: 0.1620 (0.1705) loss_seg: 0.1610 (0.1689) loss_lansim: 0.1173 (0.1311) loss_contra: 0.0051 (0.0257) time: 3.0271 data: 0.0067 max mem: 31630 Epoch: [4] [3740/5278] eta: 1:21:12 lr: 4.4669993858968656e-05 loss: 0.1570 (0.1704) loss_seg: 0.1556 (0.1688) loss_lansim: 0.1175 (0.1311) loss_contra: 0.0050 (0.0257) time: 3.0338 data: 0.0067 max mem: 31630 Epoch: [4] [3750/5278] eta: 1:20:40 lr: 4.466783550014005e-05 loss: 0.1564 (0.1704) loss_seg: 0.1552 (0.1688) loss_lansim: 0.1175 (0.1311) loss_contra: 0.0038 (0.0256) time: 3.0361 data: 0.0068 max mem: 31630 Epoch: [4] [3760/5278] eta: 1:20:07 lr: 4.466567712972334e-05 loss: 0.1549 (0.1704) loss_seg: 0.1537 (0.1688) loss_lansim: 0.1173 (0.1310) loss_contra: 0.0040 (0.0256) time: 3.0357 data: 0.0068 max mem: 31630 Epoch: [4] [3770/5278] eta: 1:19:35 lr: 4.4663518747717846e-05 loss: 0.1568 (0.1704) loss_seg: 0.1556 (0.1688) loss_lansim: 0.1167 (0.1310) loss_contra: 0.0040 (0.0256) time: 3.0411 data: 0.0068 max mem: 31630 Epoch: [4] [3780/5278] eta: 1:19:04 lr: 4.466136035412288e-05 loss: 0.1568 (0.1704) loss_seg: 0.1556 (0.1688) loss_lansim: 0.1176 (0.1310) loss_contra: 0.0040 (0.0256) time: 3.0491 data: 0.0068 max mem: 31630 Epoch: [4] [3790/5278] eta: 1:18:32 lr: 4.465920194893777e-05 loss: 0.1561 (0.1704) loss_seg: 0.1549 (0.1688) loss_lansim: 0.1190 (0.1310) loss_contra: 0.0050 (0.0257) time: 3.0567 data: 0.0068 max mem: 31630 Epoch: [4] [3800/5278] eta: 1:18:00 lr: 4.4657043532161826e-05 loss: 0.1510 (0.1704) loss_seg: 0.1491 (0.1688) loss_lansim: 0.1202 (0.1310) loss_contra: 0.0047 (0.0258) time: 3.0628 data: 0.0068 max mem: 31630 Epoch: [4] [3810/5278] eta: 1:17:27 lr: 4.465488510379435e-05 loss: 0.1510 (0.1704) loss_seg: 0.1491 (0.1688) loss_lansim: 0.1202 (0.1310) loss_contra: 0.0050 (0.0258) time: 3.0570 data: 0.0067 max mem: 31630 Epoch: [4] [3820/5278] eta: 1:16:56 lr: 4.4652726663834674e-05 loss: 0.1519 (0.1704) loss_seg: 0.1507 (0.1688) loss_lansim: 0.1214 (0.1310) loss_contra: 0.0048 (0.0260) time: 3.0704 data: 0.0067 max mem: 31630 Epoch: [4] [3830/5278] eta: 1:16:24 lr: 4.46505682122821e-05 loss: 0.1519 (0.1704) loss_seg: 0.1507 (0.1688) loss_lansim: 0.1243 (0.1310) loss_contra: 0.0054 (0.0261) time: 3.0766 data: 0.0066 max mem: 31630 Epoch: [4] [3840/5278] eta: 1:15:52 lr: 4.464840974913595e-05 loss: 0.1574 (0.1704) loss_seg: 0.1560 (0.1688) loss_lansim: 0.1246 (0.1310) loss_contra: 0.0059 (0.0263) time: 3.0797 data: 0.0065 max mem: 31630 Epoch: [4] [3850/5278] eta: 1:15:20 lr: 4.464625127439554e-05 loss: 0.1568 (0.1703) loss_seg: 0.1558 (0.1688) loss_lansim: 0.1260 (0.1310) loss_contra: 0.0071 (0.0263) time: 3.0908 data: 0.0064 max mem: 31630 Epoch: [4] [3860/5278] eta: 1:14:48 lr: 4.464409278806018e-05 loss: 0.1574 (0.1703) loss_seg: 0.1561 (0.1687) loss_lansim: 0.1268 (0.1310) loss_contra: 0.0071 (0.0262) time: 3.0991 data: 0.0063 max mem: 31630 Epoch: [4] [3870/5278] eta: 1:14:16 lr: 4.464193429012919e-05 loss: 0.1577 (0.1703) loss_seg: 0.1562 (0.1688) loss_lansim: 0.1273 (0.1310) loss_contra: 0.0079 (0.0262) time: 3.0955 data: 0.0063 max mem: 31630 Epoch: [4] [3880/5278] eta: 1:13:44 lr: 4.463977578060189e-05 loss: 0.1572 (0.1703) loss_seg: 0.1559 (0.1687) loss_lansim: 0.1270 (0.1310) loss_contra: 0.0074 (0.0262) time: 3.0952 data: 0.0062 max mem: 31630 Epoch: [4] [3890/5278] eta: 1:13:12 lr: 4.4637617259477573e-05 loss: 0.1572 (0.1703) loss_seg: 0.1559 (0.1687) loss_lansim: 0.1273 (0.1310) loss_contra: 0.0058 (0.0261) time: 3.0973 data: 0.0062 max mem: 31630 Epoch: [4] [3900/5278] eta: 1:12:40 lr: 4.463545872675558e-05 loss: 0.1598 (0.1703) loss_seg: 0.1583 (0.1687) loss_lansim: 0.1287 (0.1310) loss_contra: 0.0058 (0.0262) time: 3.0895 data: 0.0062 max mem: 31630 Epoch: [4] [3910/5278] eta: 1:12:08 lr: 4.463330018243521e-05 loss: 0.1572 (0.1702) loss_seg: 0.1559 (0.1687) loss_lansim: 0.1300 (0.1310) loss_contra: 0.0053 (0.0261) time: 3.1005 data: 0.0062 max mem: 31630 Epoch: [4] [3920/5278] eta: 1:11:37 lr: 4.463114162651578e-05 loss: 0.1568 (0.1703) loss_seg: 0.1555 (0.1687) loss_lansim: 0.1300 (0.1310) loss_contra: 0.0036 (0.0261) time: 3.0967 data: 0.0062 max mem: 31630 Epoch: [4] [3930/5278] eta: 1:11:05 lr: 4.4628983058996606e-05 loss: 0.1565 (0.1702) loss_seg: 0.1553 (0.1687) loss_lansim: 0.1300 (0.1310) loss_contra: 0.0036 (0.0261) time: 3.1001 data: 0.0061 max mem: 31630 Epoch: [4] [3940/5278] eta: 1:10:33 lr: 4.4626824479877e-05 loss: 0.1557 (0.1702) loss_seg: 0.1541 (0.1686) loss_lansim: 0.1313 (0.1311) loss_contra: 0.0033 (0.0260) time: 3.0958 data: 0.0062 max mem: 31630 Epoch: [4] [3950/5278] eta: 1:10:01 lr: 4.462466588915627e-05 loss: 0.1572 (0.1702) loss_seg: 0.1559 (0.1686) loss_lansim: 0.1318 (0.1311) loss_contra: 0.0036 (0.0260) time: 3.0968 data: 0.0061 max mem: 31630 Epoch: [4] [3960/5278] eta: 1:09:29 lr: 4.4622507286833756e-05 loss: 0.1565 (0.1702) loss_seg: 0.1553 (0.1686) loss_lansim: 0.1326 (0.1311) loss_contra: 0.0033 (0.0260) time: 3.0921 data: 0.0061 max mem: 31630 Epoch: [4] [3970/5278] eta: 1:08:57 lr: 4.462034867290874e-05 loss: 0.1532 (0.1702) loss_seg: 0.1514 (0.1686) loss_lansim: 0.1352 (0.1311) loss_contra: 0.0037 (0.0261) time: 3.0928 data: 0.0061 max mem: 31630 Epoch: [4] [3980/5278] eta: 1:08:25 lr: 4.461819004738055e-05 loss: 0.1565 (0.1702) loss_seg: 0.1553 (0.1687) loss_lansim: 0.1358 (0.1311) loss_contra: 0.0050 (0.0260) time: 3.0933 data: 0.0062 max mem: 31630 Epoch: [4] [3990/5278] eta: 1:07:54 lr: 4.46160314102485e-05 loss: 0.1610 (0.1702) loss_seg: 0.1598 (0.1687) loss_lansim: 0.1355 (0.1311) loss_contra: 0.0052 (0.0260) time: 3.0947 data: 0.0062 max mem: 31630 Epoch: [4] [4000/5278] eta: 1:07:22 lr: 4.4613872761511907e-05 loss: 0.1539 (0.1702) loss_seg: 0.1526 (0.1686) loss_lansim: 0.1331 (0.1311) loss_contra: 0.0052 (0.0260) time: 3.0991 data: 0.0061 max mem: 31630 Epoch: [4] [4010/5278] eta: 1:06:50 lr: 4.461171410117008e-05 loss: 0.1604 (0.1702) loss_seg: 0.1590 (0.1686) loss_lansim: 0.1345 (0.1311) loss_contra: 0.0058 (0.0261) time: 3.0915 data: 0.0061 max mem: 31630 Epoch: [4] [4020/5278] eta: 1:06:18 lr: 4.4609555429222336e-05 loss: 0.1606 (0.1702) loss_seg: 0.1592 (0.1686) loss_lansim: 0.1333 (0.1311) loss_contra: 0.0051 (0.0260) time: 3.0908 data: 0.0061 max mem: 31630 Epoch: [4] [4030/5278] eta: 1:05:46 lr: 4.4607396745667984e-05 loss: 0.1629 (0.1703) loss_seg: 0.1608 (0.1687) loss_lansim: 0.1333 (0.1311) loss_contra: 0.0051 (0.0260) time: 3.1011 data: 0.0061 max mem: 31630 Epoch: [4] [4040/5278] eta: 1:05:15 lr: 4.460523805050634e-05 loss: 0.1689 (0.1704) loss_seg: 0.1675 (0.1688) loss_lansim: 0.1333 (0.1312) loss_contra: 0.0064 (0.0260) time: 3.1136 data: 0.0062 max mem: 31630 Epoch: [4] [4050/5278] eta: 1:04:43 lr: 4.460307934373672e-05 loss: 0.1689 (0.1704) loss_seg: 0.1675 (0.1689) loss_lansim: 0.1331 (0.1312) loss_contra: 0.0062 (0.0261) time: 3.1169 data: 0.0062 max mem: 31630 Epoch: [4] [4060/5278] eta: 1:04:12 lr: 4.460092062535843e-05 loss: 0.1686 (0.1704) loss_seg: 0.1672 (0.1688) loss_lansim: 0.1325 (0.1312) loss_contra: 0.0073 (0.0261) time: 3.1238 data: 0.0062 max mem: 31630 Epoch: [4] [4070/5278] eta: 1:03:40 lr: 4.45987618953708e-05 loss: 0.1672 (0.1704) loss_seg: 0.1658 (0.1688) loss_lansim: 0.1307 (0.1312) loss_contra: 0.0062 (0.0261) time: 3.1363 data: 0.0063 max mem: 31630 Epoch: [4] [4080/5278] eta: 1:03:08 lr: 4.459660315377311e-05 loss: 0.1655 (0.1704) loss_seg: 0.1640 (0.1688) loss_lansim: 0.1302 (0.1311) loss_contra: 0.0059 (0.0261) time: 3.1371 data: 0.0063 max mem: 31630 Epoch: [4] [4090/5278] eta: 1:02:37 lr: 4.459444440056471e-05 loss: 0.1655 (0.1704) loss_seg: 0.1640 (0.1688) loss_lansim: 0.1302 (0.1311) loss_contra: 0.0068 (0.0263) time: 3.1339 data: 0.0063 max mem: 31630 Epoch: [4] [4100/5278] eta: 1:02:05 lr: 4.45922856357449e-05 loss: 0.1630 (0.1703) loss_seg: 0.1594 (0.1687) loss_lansim: 0.1307 (0.1312) loss_contra: 0.0073 (0.0264) time: 3.1440 data: 0.0063 max mem: 31630 Epoch: [4] [4110/5278] eta: 1:01:33 lr: 4.4590126859312976e-05 loss: 0.1606 (0.1702) loss_seg: 0.1589 (0.1686) loss_lansim: 0.1307 (0.1312) loss_contra: 0.0081 (0.0265) time: 3.1563 data: 0.0063 max mem: 31630 Epoch: [4] [4120/5278] eta: 1:01:01 lr: 4.4587968071268275e-05 loss: 0.1623 (0.1702) loss_seg: 0.1589 (0.1687) loss_lansim: 0.1307 (0.1312) loss_contra: 0.0091 (0.0265) time: 3.1538 data: 0.0063 max mem: 31630 Epoch: [4] [4130/5278] eta: 1:00:30 lr: 4.4585809271610094e-05 loss: 0.1597 (0.1703) loss_seg: 0.1579 (0.1687) loss_lansim: 0.1306 (0.1312) loss_contra: 0.0091 (0.0265) time: 3.1459 data: 0.0063 max mem: 31630 Epoch: [4] [4140/5278] eta: 0:59:58 lr: 4.4583650460337756e-05 loss: 0.1589 (0.1703) loss_seg: 0.1529 (0.1687) loss_lansim: 0.1295 (0.1312) loss_contra: 0.0096 (0.0265) time: 3.1477 data: 0.0063 max mem: 31630 Epoch: [4] [4150/5278] eta: 0:59:26 lr: 4.458149163745057e-05 loss: 0.1497 (0.1702) loss_seg: 0.1486 (0.1687) loss_lansim: 0.1287 (0.1311) loss_contra: 0.0083 (0.0264) time: 3.1384 data: 0.0063 max mem: 31630 Epoch: [4] [4160/5278] eta: 0:58:54 lr: 4.457933280294784e-05 loss: 0.1523 (0.1702) loss_seg: 0.1513 (0.1686) loss_lansim: 0.1259 (0.1311) loss_contra: 0.0073 (0.0264) time: 3.1284 data: 0.0062 max mem: 31630 Epoch: [4] [4170/5278] eta: 0:58:23 lr: 4.45771739568289e-05 loss: 0.1523 (0.1702) loss_seg: 0.1513 (0.1686) loss_lansim: 0.1243 (0.1311) loss_contra: 0.0073 (0.0264) time: 3.1284 data: 0.0061 max mem: 31630 Epoch: [4] [4180/5278] eta: 0:57:51 lr: 4.457501509909304e-05 loss: 0.1589 (0.1702) loss_seg: 0.1558 (0.1687) loss_lansim: 0.1249 (0.1311) loss_contra: 0.0068 (0.0264) time: 3.1362 data: 0.0062 max mem: 31630 Epoch: [4] [4190/5278] eta: 0:57:19 lr: 4.457285622973958e-05 loss: 0.1597 (0.1703) loss_seg: 0.1559 (0.1688) loss_lansim: 0.1259 (0.1311) loss_contra: 0.0061 (0.0265) time: 3.1317 data: 0.0063 max mem: 31630 Epoch: [4] [4200/5278] eta: 0:56:48 lr: 4.457069734876784e-05 loss: 0.1705 (0.1703) loss_seg: 0.1691 (0.1688) loss_lansim: 0.1259 (0.1311) loss_contra: 0.0054 (0.0265) time: 3.1318 data: 0.0064 max mem: 31630 Epoch: [4] [4210/5278] eta: 0:56:16 lr: 4.456853845617712e-05 loss: 0.1702 (0.1703) loss_seg: 0.1672 (0.1687) loss_lansim: 0.1246 (0.1311) loss_contra: 0.0059 (0.0265) time: 3.1360 data: 0.0065 max mem: 31630 Epoch: [4] [4220/5278] eta: 0:55:45 lr: 4.456637955196674e-05 loss: 0.1624 (0.1703) loss_seg: 0.1606 (0.1687) loss_lansim: 0.1246 (0.1311) loss_contra: 0.0045 (0.0265) time: 3.1455 data: 0.0065 max mem: 31630 Epoch: [4] [4230/5278] eta: 0:55:13 lr: 4.456422063613601e-05 loss: 0.1605 (0.1702) loss_seg: 0.1589 (0.1687) loss_lansim: 0.1255 (0.1311) loss_contra: 0.0048 (0.0264) time: 3.1459 data: 0.0066 max mem: 31630 Epoch: [4] [4240/5278] eta: 0:54:42 lr: 4.4562061708684235e-05 loss: 0.1605 (0.1702) loss_seg: 0.1589 (0.1687) loss_lansim: 0.1255 (0.1311) loss_contra: 0.0036 (0.0264) time: 3.1440 data: 0.0066 max mem: 31630 Epoch: [4] [4250/5278] eta: 0:54:10 lr: 4.4559902769610747e-05 loss: 0.1624 (0.1702) loss_seg: 0.1606 (0.1687) loss_lansim: 0.1297 (0.1311) loss_contra: 0.0048 (0.0264) time: 3.1525 data: 0.0067 max mem: 31630 Epoch: [4] [4260/5278] eta: 0:53:38 lr: 4.4557743818914834e-05 loss: 0.1613 (0.1702) loss_seg: 0.1601 (0.1686) loss_lansim: 0.1298 (0.1311) loss_contra: 0.0048 (0.0264) time: 3.1564 data: 0.0067 max mem: 31630 Epoch: [4] [4270/5278] eta: 0:53:06 lr: 4.455558485659582e-05 loss: 0.1651 (0.1703) loss_seg: 0.1638 (0.1687) loss_lansim: 0.1318 (0.1311) loss_contra: 0.0048 (0.0263) time: 3.1536 data: 0.0067 max mem: 31630 Epoch: [4] [4280/5278] eta: 0:52:35 lr: 4.4553425882653015e-05 loss: 0.1609 (0.1702) loss_seg: 0.1596 (0.1687) loss_lansim: 0.1323 (0.1311) loss_contra: 0.0051 (0.0263) time: 3.1525 data: 0.0067 max mem: 31630 Epoch: [4] [4290/5278] eta: 0:52:03 lr: 4.455126689708573e-05 loss: 0.1609 (0.1703) loss_seg: 0.1596 (0.1687) loss_lansim: 0.1299 (0.1311) loss_contra: 0.0057 (0.0263) time: 3.1610 data: 0.0067 max mem: 31630 Epoch: [4] [4300/5278] eta: 0:51:31 lr: 4.4549107899893274e-05 loss: 0.1609 (0.1703) loss_seg: 0.1596 (0.1688) loss_lansim: 0.1237 (0.1310) loss_contra: 0.0057 (0.0263) time: 3.1500 data: 0.0067 max mem: 31630 Epoch: [4] [4310/5278] eta: 0:51:00 lr: 4.454694889107497e-05 loss: 0.1615 (0.1703) loss_seg: 0.1604 (0.1688) loss_lansim: 0.1230 (0.1310) loss_contra: 0.0049 (0.0262) time: 3.1481 data: 0.0067 max mem: 31630 Epoch: [4] [4320/5278] eta: 0:50:28 lr: 4.454478987063011e-05 loss: 0.1639 (0.1704) loss_seg: 0.1621 (0.1688) loss_lansim: 0.1208 (0.1310) loss_contra: 0.0054 (0.0262) time: 3.1557 data: 0.0067 max mem: 31630 Epoch: [4] [4330/5278] eta: 0:49:57 lr: 4.454263083855802e-05 loss: 0.1651 (0.1703) loss_seg: 0.1638 (0.1688) loss_lansim: 0.1188 (0.1309) loss_contra: 0.0052 (0.0262) time: 3.1571 data: 0.0066 max mem: 31630 Epoch: [4] [4340/5278] eta: 0:49:25 lr: 4.4540471794858014e-05 loss: 0.1652 (0.1704) loss_seg: 0.1640 (0.1688) loss_lansim: 0.1185 (0.1309) loss_contra: 0.0051 (0.0261) time: 3.1565 data: 0.0066 max mem: 31630 Epoch: [4] [4350/5278] eta: 0:48:54 lr: 4.453831273952939e-05 loss: 0.1683 (0.1704) loss_seg: 0.1670 (0.1688) loss_lansim: 0.1181 (0.1309) loss_contra: 0.0049 (0.0262) time: 3.1599 data: 0.0066 max mem: 31630 Epoch: [4] [4360/5278] eta: 0:48:22 lr: 4.4536153672571455e-05 loss: 0.1703 (0.1704) loss_seg: 0.1692 (0.1688) loss_lansim: 0.1181 (0.1309) loss_contra: 0.0048 (0.0261) time: 3.1646 data: 0.0066 max mem: 31630 Epoch: [4] [4370/5278] eta: 0:47:50 lr: 4.453399459398354e-05 loss: 0.1703 (0.1704) loss_seg: 0.1692 (0.1689) loss_lansim: 0.1163 (0.1308) loss_contra: 0.0047 (0.0261) time: 3.1593 data: 0.0066 max mem: 31630 Epoch: [4] [4380/5278] eta: 0:47:19 lr: 4.453183550376495e-05 loss: 0.1757 (0.1705) loss_seg: 0.1737 (0.1689) loss_lansim: 0.1162 (0.1308) loss_contra: 0.0047 (0.0261) time: 3.1619 data: 0.0066 max mem: 31630 Epoch: [4] [4390/5278] eta: 0:46:47 lr: 4.452967640191499e-05 loss: 0.1733 (0.1705) loss_seg: 0.1720 (0.1689) loss_lansim: 0.1172 (0.1308) loss_contra: 0.0037 (0.0260) time: 3.1640 data: 0.0065 max mem: 31630 Epoch: [4] [4400/5278] eta: 0:46:16 lr: 4.4527517288432964e-05 loss: 0.1702 (0.1704) loss_seg: 0.1690 (0.1688) loss_lansim: 0.1181 (0.1308) loss_contra: 0.0042 (0.0260) time: 3.1759 data: 0.0064 max mem: 31630 Epoch: [4] [4410/5278] eta: 0:45:44 lr: 4.4525358163318195e-05 loss: 0.1702 (0.1704) loss_seg: 0.1690 (0.1689) loss_lansim: 0.1188 (0.1308) loss_contra: 0.0036 (0.0260) time: 3.1738 data: 0.0064 max mem: 31630 Epoch: [4] [4420/5278] eta: 0:45:13 lr: 4.4523199026569985e-05 loss: 0.1671 (0.1704) loss_seg: 0.1659 (0.1688) loss_lansim: 0.1207 (0.1308) loss_contra: 0.0033 (0.0260) time: 3.1755 data: 0.0064 max mem: 31630 Epoch: [4] [4430/5278] eta: 0:44:41 lr: 4.452103987818766e-05 loss: 0.1721 (0.1704) loss_seg: 0.1705 (0.1689) loss_lansim: 0.1209 (0.1307) loss_contra: 0.0032 (0.0259) time: 3.1750 data: 0.0064 max mem: 31630 Epoch: [4] [4440/5278] eta: 0:44:09 lr: 4.451888071817051e-05 loss: 0.1702 (0.1704) loss_seg: 0.1690 (0.1689) loss_lansim: 0.1208 (0.1307) loss_contra: 0.0034 (0.0259) time: 3.1656 data: 0.0064 max mem: 31630 Epoch: [4] [4450/5278] eta: 0:43:38 lr: 4.451672154651786e-05 loss: 0.1702 (0.1705) loss_seg: 0.1690 (0.1689) loss_lansim: 0.1208 (0.1307) loss_contra: 0.0033 (0.0258) time: 3.1703 data: 0.0063 max mem: 31630 Epoch: [4] [4460/5278] eta: 0:43:06 lr: 4.451456236322901e-05 loss: 0.1705 (0.1705) loss_seg: 0.1694 (0.1689) loss_lansim: 0.1209 (0.1306) loss_contra: 0.0042 (0.0259) time: 3.1718 data: 0.0064 max mem: 31630 Epoch: [4] [4470/5278] eta: 0:42:34 lr: 4.451240316830328e-05 loss: 0.1639 (0.1705) loss_seg: 0.1627 (0.1689) loss_lansim: 0.1216 (0.1306) loss_contra: 0.0043 (0.0259) time: 3.1706 data: 0.0064 max mem: 31630 Epoch: [4] [4480/5278] eta: 0:42:03 lr: 4.451024396173997e-05 loss: 0.1643 (0.1705) loss_seg: 0.1627 (0.1689) loss_lansim: 0.1209 (0.1306) loss_contra: 0.0043 (0.0259) time: 3.1607 data: 0.0064 max mem: 31630 Epoch: [4] [4490/5278] eta: 0:41:31 lr: 4.45080847435384e-05 loss: 0.1639 (0.1705) loss_seg: 0.1617 (0.1689) loss_lansim: 0.1200 (0.1305) loss_contra: 0.0037 (0.0259) time: 3.1592 data: 0.0064 max mem: 31630 Epoch: [4] [4500/5278] eta: 0:40:59 lr: 4.450592551369787e-05 loss: 0.1685 (0.1705) loss_seg: 0.1672 (0.1689) loss_lansim: 0.1188 (0.1305) loss_contra: 0.0037 (0.0260) time: 3.1461 data: 0.0064 max mem: 31630 Epoch: [4] [4510/5278] eta: 0:40:27 lr: 4.450376627221769e-05 loss: 0.1639 (0.1705) loss_seg: 0.1617 (0.1689) loss_lansim: 0.1154 (0.1304) loss_contra: 0.0037 (0.0261) time: 3.1320 data: 0.0064 max mem: 31630 Epoch: [4] [4520/5278] eta: 0:39:56 lr: 4.4501607019097185e-05 loss: 0.1639 (0.1705) loss_seg: 0.1617 (0.1689) loss_lansim: 0.1140 (0.1304) loss_contra: 0.0045 (0.0261) time: 3.1265 data: 0.0064 max mem: 31630 Epoch: [4] [4530/5278] eta: 0:39:24 lr: 4.449944775433565e-05 loss: 0.1624 (0.1705) loss_seg: 0.1607 (0.1689) loss_lansim: 0.1133 (0.1304) loss_contra: 0.0047 (0.0261) time: 3.1229 data: 0.0065 max mem: 31630 Epoch: [4] [4540/5278] eta: 0:38:52 lr: 4.44972884779324e-05 loss: 0.1624 (0.1705) loss_seg: 0.1607 (0.1689) loss_lansim: 0.1133 (0.1303) loss_contra: 0.0047 (0.0263) time: 3.1142 data: 0.0066 max mem: 31630 Epoch: [4] [4550/5278] eta: 0:38:20 lr: 4.449512918988675e-05 loss: 0.1618 (0.1705) loss_seg: 0.1603 (0.1690) loss_lansim: 0.1141 (0.1303) loss_contra: 0.0071 (0.0262) time: 3.1024 data: 0.0065 max mem: 31630 Epoch: [4] [4560/5278] eta: 0:37:49 lr: 4.4492969890197995e-05 loss: 0.1615 (0.1705) loss_seg: 0.1571 (0.1689) loss_lansim: 0.1141 (0.1303) loss_contra: 0.0054 (0.0262) time: 3.1052 data: 0.0066 max mem: 31630 Epoch: [4] [4570/5278] eta: 0:37:17 lr: 4.449081057886545e-05 loss: 0.1654 (0.1705) loss_seg: 0.1641 (0.1689) loss_lansim: 0.1142 (0.1302) loss_contra: 0.0063 (0.0262) time: 3.1060 data: 0.0066 max mem: 31630 Epoch: [4] [4580/5278] eta: 0:36:45 lr: 4.448865125588843e-05 loss: 0.1697 (0.1706) loss_seg: 0.1687 (0.1690) loss_lansim: 0.1143 (0.1302) loss_contra: 0.0069 (0.0261) time: 3.0994 data: 0.0066 max mem: 31630 Epoch: [4] [4590/5278] eta: 0:36:14 lr: 4.448649192126624e-05 loss: 0.1727 (0.1706) loss_seg: 0.1713 (0.1690) loss_lansim: 0.1144 (0.1302) loss_contra: 0.0071 (0.0262) time: 3.0957 data: 0.0066 max mem: 31630 Epoch: [4] [4600/5278] eta: 0:35:42 lr: 4.448433257499819e-05 loss: 0.1725 (0.1706) loss_seg: 0.1709 (0.1691) loss_lansim: 0.1141 (0.1301) loss_contra: 0.0063 (0.0261) time: 3.1139 data: 0.0066 max mem: 31630 Epoch: [4] [4610/5278] eta: 0:35:11 lr: 4.448217321708359e-05 loss: 0.1727 (0.1706) loss_seg: 0.1713 (0.1690) loss_lansim: 0.1146 (0.1301) loss_contra: 0.0065 (0.0261) time: 3.1228 data: 0.0066 max mem: 31630 Epoch: [4] [4620/5278] eta: 0:34:39 lr: 4.448001384752174e-05 loss: 0.1729 (0.1706) loss_seg: 0.1718 (0.1691) loss_lansim: 0.1146 (0.1300) loss_contra: 0.0060 (0.0261) time: 3.1163 data: 0.0066 max mem: 31630 Epoch: [4] [4630/5278] eta: 0:34:08 lr: 4.447785446631198e-05 loss: 0.1749 (0.1706) loss_seg: 0.1735 (0.1691) loss_lansim: 0.1151 (0.1300) loss_contra: 0.0058 (0.0261) time: 3.1340 data: 0.0065 max mem: 31630 Epoch: [4] [4640/5278] eta: 0:33:36 lr: 4.447569507345357e-05 loss: 0.1814 (0.1707) loss_seg: 0.1802 (0.1691) loss_lansim: 0.1146 (0.1300) loss_contra: 0.0057 (0.0261) time: 3.1377 data: 0.0064 max mem: 31630 Epoch: [4] [4650/5278] eta: 0:33:04 lr: 4.447353566894585e-05 loss: 0.1729 (0.1706) loss_seg: 0.1718 (0.1691) loss_lansim: 0.1138 (0.1299) loss_contra: 0.0051 (0.0261) time: 3.1358 data: 0.0064 max mem: 31630 Epoch: [4] [4660/5278] eta: 0:32:33 lr: 4.447137625278813e-05 loss: 0.1729 (0.1706) loss_seg: 0.1718 (0.1691) loss_lansim: 0.1110 (0.1299) loss_contra: 0.0055 (0.0260) time: 3.1409 data: 0.0064 max mem: 31630 Epoch: [4] [4670/5278] eta: 0:32:01 lr: 4.4469216824979714e-05 loss: 0.1696 (0.1706) loss_seg: 0.1684 (0.1690) loss_lansim: 0.1089 (0.1298) loss_contra: 0.0048 (0.0260) time: 3.1488 data: 0.0064 max mem: 31630 Epoch: [4] [4680/5278] eta: 0:31:29 lr: 4.44670573855199e-05 loss: 0.1615 (0.1706) loss_seg: 0.1605 (0.1690) loss_lansim: 0.1080 (0.1298) loss_contra: 0.0047 (0.0260) time: 3.1498 data: 0.0064 max mem: 31630 Epoch: [4] [4690/5278] eta: 0:30:58 lr: 4.446489793440801e-05 loss: 0.1573 (0.1706) loss_seg: 0.1561 (0.1690) loss_lansim: 0.1081 (0.1297) loss_contra: 0.0031 (0.0259) time: 3.1472 data: 0.0064 max mem: 31630 Epoch: [4] [4700/5278] eta: 0:30:26 lr: 4.446273847164334e-05 loss: 0.1573 (0.1706) loss_seg: 0.1561 (0.1690) loss_lansim: 0.1091 (0.1297) loss_contra: 0.0035 (0.0259) time: 3.1535 data: 0.0064 max mem: 31630 Epoch: [4] [4710/5278] eta: 0:29:54 lr: 4.446057899722521e-05 loss: 0.1642 (0.1706) loss_seg: 0.1617 (0.1690) loss_lansim: 0.1116 (0.1297) loss_contra: 0.0029 (0.0259) time: 3.1481 data: 0.0064 max mem: 31630 Epoch: [4] [4720/5278] eta: 0:29:23 lr: 4.445841951115293e-05 loss: 0.1659 (0.1706) loss_seg: 0.1646 (0.1690) loss_lansim: 0.1128 (0.1297) loss_contra: 0.0031 (0.0260) time: 3.1455 data: 0.0064 max mem: 31630 Epoch: [4] [4730/5278] eta: 0:28:51 lr: 4.445626001342579e-05 loss: 0.1646 (0.1706) loss_seg: 0.1633 (0.1691) loss_lansim: 0.1133 (0.1296) loss_contra: 0.0029 (0.0261) time: 3.1301 data: 0.0064 max mem: 31630 Epoch: [4] [4740/5278] eta: 0:28:19 lr: 4.445410050404311e-05 loss: 0.1646 (0.1707) loss_seg: 0.1633 (0.1691) loss_lansim: 0.1133 (0.1296) loss_contra: 0.0036 (0.0262) time: 3.1294 data: 0.0064 max mem: 31630 Epoch: [4] [4750/5278] eta: 0:27:48 lr: 4.445194098300421e-05 loss: 0.1659 (0.1706) loss_seg: 0.1646 (0.1691) loss_lansim: 0.1142 (0.1296) loss_contra: 0.0045 (0.0264) time: 3.1278 data: 0.0065 max mem: 31630 Epoch: [4] [4760/5278] eta: 0:27:16 lr: 4.4449781450308374e-05 loss: 0.1646 (0.1707) loss_seg: 0.1633 (0.1691) loss_lansim: 0.1153 (0.1296) loss_contra: 0.0052 (0.0264) time: 3.1176 data: 0.0064 max mem: 31630 Epoch: [4] [4770/5278] eta: 0:26:44 lr: 4.4447621905954926e-05 loss: 0.1646 (0.1706) loss_seg: 0.1633 (0.1691) loss_lansim: 0.1156 (0.1295) loss_contra: 0.0085 (0.0265) time: 3.1057 data: 0.0064 max mem: 31630 Epoch: [4] [4780/5278] eta: 0:26:13 lr: 4.444546234994317e-05 loss: 0.1720 (0.1706) loss_seg: 0.1706 (0.1691) loss_lansim: 0.1163 (0.1295) loss_contra: 0.0096 (0.0265) time: 3.1129 data: 0.0064 max mem: 31630 Epoch: [4] [4790/5278] eta: 0:25:41 lr: 4.444330278227241e-05 loss: 0.1747 (0.1706) loss_seg: 0.1734 (0.1691) loss_lansim: 0.1169 (0.1295) loss_contra: 0.0096 (0.0264) time: 3.1119 data: 0.0063 max mem: 31630 Epoch: [4] [4800/5278] eta: 0:25:09 lr: 4.4441143202941953e-05 loss: 0.1753 (0.1707) loss_seg: 0.1741 (0.1691) loss_lansim: 0.1169 (0.1295) loss_contra: 0.0096 (0.0265) time: 3.0968 data: 0.0063 max mem: 31630 Epoch: [4] [4810/5278] eta: 0:24:38 lr: 4.4438983611951116e-05 loss: 0.1685 (0.1706) loss_seg: 0.1673 (0.1691) loss_lansim: 0.1169 (0.1295) loss_contra: 0.0106 (0.0265) time: 3.1045 data: 0.0063 max mem: 31630 Epoch: [4] [4820/5278] eta: 0:24:06 lr: 4.4436824009299195e-05 loss: 0.1650 (0.1706) loss_seg: 0.1638 (0.1691) loss_lansim: 0.1176 (0.1294) loss_contra: 0.0097 (0.0265) time: 3.1071 data: 0.0063 max mem: 31630 Epoch: [4] [4830/5278] eta: 0:23:35 lr: 4.44346643949855e-05 loss: 0.1612 (0.1706) loss_seg: 0.1601 (0.1691) loss_lansim: 0.1174 (0.1294) loss_contra: 0.0137 (0.0265) time: 3.1018 data: 0.0063 max mem: 31630 Epoch: [4] [4840/5278] eta: 0:23:03 lr: 4.443250476900935e-05 loss: 0.1554 (0.1706) loss_seg: 0.1529 (0.1690) loss_lansim: 0.1174 (0.1294) loss_contra: 0.0090 (0.0264) time: 3.1046 data: 0.0062 max mem: 31630 Epoch: [4] [4850/5278] eta: 0:22:31 lr: 4.4430345131370036e-05 loss: 0.1531 (0.1706) loss_seg: 0.1520 (0.1690) loss_lansim: 0.1169 (0.1294) loss_contra: 0.0069 (0.0264) time: 3.1066 data: 0.0062 max mem: 31630 Epoch: [4] [4860/5278] eta: 0:22:00 lr: 4.4428185482066876e-05 loss: 0.1531 (0.1706) loss_seg: 0.1520 (0.1690) loss_lansim: 0.1180 (0.1294) loss_contra: 0.0046 (0.0264) time: 3.1100 data: 0.0062 max mem: 31630 Epoch: [4] [4870/5278] eta: 0:21:28 lr: 4.442602582109917e-05 loss: 0.1605 (0.1706) loss_seg: 0.1594 (0.1691) loss_lansim: 0.1186 (0.1293) loss_contra: 0.0039 (0.0264) time: 3.1099 data: 0.0062 max mem: 31630 Epoch: [4] [4880/5278] eta: 0:20:56 lr: 4.4423866148466234e-05 loss: 0.1605 (0.1706) loss_seg: 0.1594 (0.1691) loss_lansim: 0.1186 (0.1293) loss_contra: 0.0037 (0.0263) time: 3.1050 data: 0.0062 max mem: 31630 Epoch: [4] [4890/5278] eta: 0:20:25 lr: 4.4421706464167365e-05 loss: 0.1609 (0.1707) loss_seg: 0.1598 (0.1691) loss_lansim: 0.1198 (0.1293) loss_contra: 0.0039 (0.0263) time: 3.1069 data: 0.0063 max mem: 31630 Epoch: [4] [4900/5278] eta: 0:19:53 lr: 4.441954676820187e-05 loss: 0.1530 (0.1706) loss_seg: 0.1518 (0.1691) loss_lansim: 0.1191 (0.1293) loss_contra: 0.0030 (0.0262) time: 3.1041 data: 0.0064 max mem: 31630 Epoch: [4] [4910/5278] eta: 0:19:21 lr: 4.4417387060569067e-05 loss: 0.1577 (0.1706) loss_seg: 0.1561 (0.1691) loss_lansim: 0.1190 (0.1293) loss_contra: 0.0027 (0.0262) time: 3.0926 data: 0.0064 max mem: 31630 Epoch: [4] [4920/5278] eta: 0:18:50 lr: 4.441522734126825e-05 loss: 0.1576 (0.1706) loss_seg: 0.1561 (0.1691) loss_lansim: 0.1196 (0.1293) loss_contra: 0.0023 (0.0263) time: 3.0937 data: 0.0065 max mem: 31630 Epoch: [4] [4930/5278] eta: 0:18:18 lr: 4.441306761029873e-05 loss: 0.1578 (0.1706) loss_seg: 0.1566 (0.1691) loss_lansim: 0.1202 (0.1293) loss_contra: 0.0021 (0.0262) time: 3.0922 data: 0.0065 max mem: 31630 Epoch: [4] [4940/5278] eta: 0:17:47 lr: 4.441090786765981e-05 loss: 0.1613 (0.1706) loss_seg: 0.1601 (0.1691) loss_lansim: 0.1208 (0.1293) loss_contra: 0.0022 (0.0262) time: 3.0977 data: 0.0066 max mem: 31630 Epoch: [4] [4950/5278] eta: 0:17:15 lr: 4.440874811335081e-05 loss: 0.1635 (0.1706) loss_seg: 0.1621 (0.1691) loss_lansim: 0.1216 (0.1292) loss_contra: 0.0032 (0.0262) time: 3.0930 data: 0.0066 max mem: 31630 Epoch: [4] [4960/5278] eta: 0:16:43 lr: 4.440658834737103e-05 loss: 0.1635 (0.1706) loss_seg: 0.1621 (0.1691) loss_lansim: 0.1217 (0.1292) loss_contra: 0.0037 (0.0263) time: 3.0882 data: 0.0066 max mem: 31630 Epoch: [4] [4970/5278] eta: 0:16:12 lr: 4.4404428569719755e-05 loss: 0.1635 (0.1706) loss_seg: 0.1620 (0.1691) loss_lansim: 0.1232 (0.1292) loss_contra: 0.0041 (0.0263) time: 3.0890 data: 0.0066 max mem: 31630 Epoch: [4] [4980/5278] eta: 0:15:40 lr: 4.440226878039632e-05 loss: 0.1629 (0.1706) loss_seg: 0.1615 (0.1690) loss_lansim: 0.1238 (0.1292) loss_contra: 0.0041 (0.0263) time: 3.0947 data: 0.0065 max mem: 31630 Epoch: [4] [4990/5278] eta: 0:15:09 lr: 4.4400108979400016e-05 loss: 0.1578 (0.1706) loss_seg: 0.1566 (0.1690) loss_lansim: 0.1240 (0.1292) loss_contra: 0.0041 (0.0262) time: 3.0893 data: 0.0064 max mem: 31630 Epoch: [4] [5000/5278] eta: 0:14:37 lr: 4.439794916673016e-05 loss: 0.1609 (0.1706) loss_seg: 0.1593 (0.1690) loss_lansim: 0.1243 (0.1292) loss_contra: 0.0042 (0.0262) time: 3.0918 data: 0.0064 max mem: 31630 Epoch: [4] [5010/5278] eta: 0:14:05 lr: 4.439578934238605e-05 loss: 0.1613 (0.1706) loss_seg: 0.1600 (0.1690) loss_lansim: 0.1258 (0.1292) loss_contra: 0.0050 (0.0262) time: 3.1044 data: 0.0063 max mem: 31630 Epoch: [4] [5020/5278] eta: 0:13:34 lr: 4.439362950636699e-05 loss: 0.1640 (0.1706) loss_seg: 0.1627 (0.1690) loss_lansim: 0.1259 (0.1292) loss_contra: 0.0045 (0.0262) time: 3.1002 data: 0.0063 max mem: 31630 Epoch: [4] [5030/5278] eta: 0:13:02 lr: 4.4391469658672287e-05 loss: 0.1640 (0.1706) loss_seg: 0.1627 (0.1690) loss_lansim: 0.1258 (0.1292) loss_contra: 0.0053 (0.0263) time: 3.1012 data: 0.0064 max mem: 31630 Epoch: [4] [5040/5278] eta: 0:12:31 lr: 4.438930979930125e-05 loss: 0.1666 (0.1706) loss_seg: 0.1653 (0.1690) loss_lansim: 0.1267 (0.1292) loss_contra: 0.0053 (0.0265) time: 3.0959 data: 0.0064 max mem: 31630 Epoch: [4] [5050/5278] eta: 0:11:59 lr: 4.438714992825318e-05 loss: 0.1693 (0.1706) loss_seg: 0.1669 (0.1691) loss_lansim: 0.1274 (0.1292) loss_contra: 0.0050 (0.0265) time: 3.0978 data: 0.0064 max mem: 31630 Epoch: [4] [5060/5278] eta: 0:11:27 lr: 4.438499004552739e-05 loss: 0.1641 (0.1706) loss_seg: 0.1627 (0.1690) loss_lansim: 0.1290 (0.1293) loss_contra: 0.0048 (0.0266) time: 3.0908 data: 0.0064 max mem: 31630 Epoch: [4] [5070/5278] eta: 0:10:56 lr: 4.438283015112319e-05 loss: 0.1641 (0.1706) loss_seg: 0.1627 (0.1690) loss_lansim: 0.1317 (0.1293) loss_contra: 0.0048 (0.0266) time: 3.0943 data: 0.0064 max mem: 31630 Epoch: [4] [5080/5278] eta: 0:10:24 lr: 4.438067024503986e-05 loss: 0.1641 (0.1706) loss_seg: 0.1614 (0.1690) loss_lansim: 0.1341 (0.1293) loss_contra: 0.0053 (0.0266) time: 3.0917 data: 0.0064 max mem: 31630 Epoch: [4] [5090/5278] eta: 0:09:53 lr: 4.437851032727673e-05 loss: 0.1650 (0.1706) loss_seg: 0.1635 (0.1690) loss_lansim: 0.1343 (0.1293) loss_contra: 0.0060 (0.0265) time: 3.0966 data: 0.0065 max mem: 31630 Epoch: [4] [5100/5278] eta: 0:09:21 lr: 4.4376350397833094e-05 loss: 0.1666 (0.1706) loss_seg: 0.1652 (0.1690) loss_lansim: 0.1367 (0.1294) loss_contra: 0.0061 (0.0265) time: 3.0918 data: 0.0065 max mem: 31630 Epoch: [4] [5110/5278] eta: 0:08:50 lr: 4.437419045670826e-05 loss: 0.1650 (0.1706) loss_seg: 0.1635 (0.1690) loss_lansim: 0.1391 (0.1294) loss_contra: 0.0061 (0.0265) time: 3.0794 data: 0.0064 max mem: 31630 Epoch: [4] [5120/5278] eta: 0:08:18 lr: 4.437203050390153e-05 loss: 0.1641 (0.1705) loss_seg: 0.1614 (0.1690) loss_lansim: 0.1385 (0.1294) loss_contra: 0.0069 (0.0265) time: 3.0827 data: 0.0063 max mem: 31630 Epoch: [4] [5130/5278] eta: 0:07:46 lr: 4.436987053941222e-05 loss: 0.1623 (0.1705) loss_seg: 0.1609 (0.1689) loss_lansim: 0.1385 (0.1294) loss_contra: 0.0063 (0.0264) time: 3.0825 data: 0.0063 max mem: 31630 Epoch: [4] [5140/5278] eta: 0:07:15 lr: 4.436771056323962e-05 loss: 0.1596 (0.1705) loss_seg: 0.1568 (0.1689) loss_lansim: 0.1377 (0.1294) loss_contra: 0.0059 (0.0264) time: 3.0891 data: 0.0063 max mem: 31630 Epoch: [4] [5150/5278] eta: 0:06:43 lr: 4.436555057538304e-05 loss: 0.1537 (0.1705) loss_seg: 0.1523 (0.1689) loss_lansim: 0.1375 (0.1294) loss_contra: 0.0050 (0.0264) time: 3.0894 data: 0.0063 max mem: 31630 Epoch: [4] [5160/5278] eta: 0:06:12 lr: 4.43633905758418e-05 loss: 0.1596 (0.1705) loss_seg: 0.1568 (0.1689) loss_lansim: 0.1377 (0.1295) loss_contra: 0.0035 (0.0264) time: 3.0948 data: 0.0063 max mem: 31630 Epoch: [4] [5170/5278] eta: 0:05:40 lr: 4.436123056461518e-05 loss: 0.1581 (0.1705) loss_seg: 0.1565 (0.1689) loss_lansim: 0.1408 (0.1295) loss_contra: 0.0050 (0.0264) time: 3.0975 data: 0.0062 max mem: 31630 Epoch: [4] [5180/5278] eta: 0:05:09 lr: 4.43590705417025e-05 loss: 0.1596 (0.1705) loss_seg: 0.1568 (0.1689) loss_lansim: 0.1429 (0.1296) loss_contra: 0.0055 (0.0264) time: 3.0897 data: 0.0063 max mem: 31630 Epoch: [4] [5190/5278] eta: 0:04:37 lr: 4.435691050710305e-05 loss: 0.1590 (0.1705) loss_seg: 0.1568 (0.1689) loss_lansim: 0.1442 (0.1296) loss_contra: 0.0058 (0.0264) time: 3.0926 data: 0.0063 max mem: 31630 Epoch: [4] [5200/5278] eta: 0:04:06 lr: 4.435475046081615e-05 loss: 0.1578 (0.1704) loss_seg: 0.1562 (0.1689) loss_lansim: 0.1429 (0.1296) loss_contra: 0.0060 (0.0264) time: 3.0924 data: 0.0063 max mem: 31630 Epoch: [4] [5210/5278] eta: 0:03:34 lr: 4.43525904028411e-05 loss: 0.1567 (0.1704) loss_seg: 0.1555 (0.1688) loss_lansim: 0.1412 (0.1296) loss_contra: 0.0058 (0.0264) time: 3.1023 data: 0.0063 max mem: 31630 Epoch: [4] [5220/5278] eta: 0:03:02 lr: 4.4350430333177215e-05 loss: 0.1581 (0.1704) loss_seg: 0.1565 (0.1689) loss_lansim: 0.1415 (0.1296) loss_contra: 0.0052 (0.0265) time: 3.0947 data: 0.0063 max mem: 31630 Epoch: [4] [5230/5278] eta: 0:02:31 lr: 4.434827025182377e-05 loss: 0.1590 (0.1704) loss_seg: 0.1575 (0.1688) loss_lansim: 0.1421 (0.1297) loss_contra: 0.0058 (0.0265) time: 3.0997 data: 0.0063 max mem: 31630 Epoch: [4] [5240/5278] eta: 0:01:59 lr: 4.434611015878009e-05 loss: 0.1606 (0.1704) loss_seg: 0.1589 (0.1688) loss_lansim: 0.1422 (0.1297) loss_contra: 0.0058 (0.0265) time: 3.0881 data: 0.0064 max mem: 31630 Epoch: [4] [5250/5278] eta: 0:01:28 lr: 4.4343950054045484e-05 loss: 0.1623 (0.1703) loss_seg: 0.1606 (0.1688) loss_lansim: 0.1412 (0.1297) loss_contra: 0.0060 (0.0265) time: 3.0909 data: 0.0064 max mem: 31630 Epoch: [4] [5260/5278] eta: 0:00:56 lr: 4.4341789937619244e-05 loss: 0.1624 (0.1704) loss_seg: 0.1607 (0.1688) loss_lansim: 0.1382 (0.1297) loss_contra: 0.0070 (0.0265) time: 3.0965 data: 0.0063 max mem: 31630 Epoch: [4] [5270/5278] eta: 0:00:25 lr: 4.433962980950068e-05 loss: 0.1606 (0.1703) loss_seg: 0.1589 (0.1688) loss_lansim: 0.1356 (0.1297) loss_contra: 0.0070 (0.0264) time: 3.0899 data: 0.0064 max mem: 31630 Epoch: [4] Total time: 4:37:23 Test: [ 0/2573] eta: 1:00:11 time: 1.4035 data: 1.2211 max mem: 31630 Test: [ 100/2573] eta: 0:06:31 time: 0.1457 data: 0.0017 max mem: 31630 Test: [ 200/2573] eta: 0:06:08 time: 0.1528 data: 0.0018 max mem: 31630 Test: [ 300/2573] eta: 0:05:47 time: 0.1482 data: 0.0018 max mem: 31630 Test: [ 400/2573] eta: 0:05:30 time: 0.1483 data: 0.0017 max mem: 31630 Test: [ 500/2573] eta: 0:05:14 time: 0.1514 data: 0.0018 max mem: 31630 Test: [ 600/2573] eta: 0:05:00 time: 0.1542 data: 0.0018 max mem: 31630 Test: [ 700/2573] eta: 0:04:46 time: 0.1595 data: 0.0018 max mem: 31630 Test: [ 800/2573] eta: 0:04:31 time: 0.1514 data: 0.0017 max mem: 31630 Test: [ 900/2573] eta: 0:04:15 time: 0.1523 data: 0.0017 max mem: 31630 Test: [1000/2573] eta: 0:04:00 time: 0.1510 data: 0.0017 max mem: 31630 Test: [1100/2573] eta: 0:03:44 time: 0.1505 data: 0.0017 max mem: 31630 Test: [1200/2573] eta: 0:03:29 time: 0.1516 data: 0.0017 max mem: 31630 Test: [1300/2573] eta: 0:03:13 time: 0.1500 data: 0.0017 max mem: 31630 Test: [1400/2573] eta: 0:02:58 time: 0.1460 data: 0.0017 max mem: 31630 Test: [1500/2573] eta: 0:02:42 time: 0.1522 data: 0.0017 max mem: 31630 Test: [1600/2573] eta: 0:02:27 time: 0.1524 data: 0.0017 max mem: 31630 Test: [1700/2573] eta: 0:02:12 time: 0.1513 data: 0.0017 max mem: 31630 Test: [1800/2573] eta: 0:01:57 time: 0.1497 data: 0.0017 max mem: 31630 Test: [1900/2573] eta: 0:01:41 time: 0.1455 data: 0.0017 max mem: 31630 Test: [2000/2573] eta: 0:01:26 time: 0.1472 data: 0.0017 max mem: 31630 Test: [2100/2573] eta: 0:01:11 time: 0.1534 data: 0.0017 max mem: 31630 Test: [2200/2573] eta: 0:00:56 time: 0.1507 data: 0.0017 max mem: 31630 Test: [2300/2573] eta: 0:00:41 time: 0.1551 data: 0.0017 max mem: 31630 Test: [2400/2573] eta: 0:00:26 time: 0.1514 data: 0.0017 max mem: 31630 Test: [2500/2573] eta: 0:00:11 time: 0.1523 data: 0.0017 max mem: 31630 Test: Total time: 0:06:30 Final results: precision@0.5 = 49.71 precision@0.6 = 42.59 precision@0.7 = 34.74 precision@0.8 = 23.77 precision@0.9 = 8.07 overall IoU = 47.00 mean IoU = 45.51 Better epoch: 4 The best_performance is 46.998757191362145 Epoch: [5] [ 0/5278] eta: 7:09:36 lr: 4.4337901698586876e-05 loss: 0.1821 (0.1821) loss_seg: 0.1808 (0.1808) loss_lansim: 0.1302 (0.1302) loss_contra: 0.0002 (0.0002) time: 4.8837 data: 1.6194 max mem: 31630 Epoch: [5] [ 10/5278] eta: 4:43:16 lr: 4.433574154942037e-05 loss: 0.1578 (0.1490) loss_seg: 0.1565 (0.1475) loss_lansim: 0.1322 (0.1364) loss_contra: 0.0026 (0.0090) time: 3.2263 data: 0.1522 max mem: 31630 Epoch: [5] [ 20/5278] eta: 4:35:49 lr: 4.433358138855957e-05 loss: 0.1442 (0.1488) loss_seg: 0.1429 (0.1474) loss_lansim: 0.1322 (0.1348) loss_contra: 0.0042 (0.0068) time: 3.1474 data: 0.0825 max mem: 31630 Epoch: [5] [ 30/5278] eta: 4:33:01 lr: 4.433142121600382e-05 loss: 0.1363 (0.1506) loss_seg: 0.1348 (0.1492) loss_lansim: 0.1295 (0.1321) loss_contra: 0.0038 (0.0074) time: 3.1214 data: 0.0578 max mem: 31630 Epoch: [5] [ 40/5278] eta: 4:31:55 lr: 4.432926103175239e-05 loss: 0.1410 (0.1514) loss_seg: 0.1396 (0.1500) loss_lansim: 0.1288 (0.1309) loss_contra: 0.0037 (0.0116) time: 3.1147 data: 0.0453 max mem: 31630 Epoch: [5] [ 50/5278] eta: 4:30:25 lr: 4.4327100835804595e-05 loss: 0.1435 (0.1499) loss_seg: 0.1421 (0.1485) loss_lansim: 0.1306 (0.1313) loss_contra: 0.0037 (0.0114) time: 3.1037 data: 0.0378 max mem: 31630 Epoch: [5] [ 60/5278] eta: 4:29:57 lr: 4.432494062815974e-05 loss: 0.1435 (0.1504) loss_seg: 0.1421 (0.1490) loss_lansim: 0.1302 (0.1301) loss_contra: 0.0031 (0.0102) time: 3.1042 data: 0.0327 max mem: 31630 Epoch: [5] [ 70/5278] eta: 4:29:05 lr: 4.432278040881712e-05 loss: 0.1435 (0.1568) loss_seg: 0.1421 (0.1554) loss_lansim: 0.1302 (0.1294) loss_contra: 0.0031 (0.0115) time: 3.1001 data: 0.0290 max mem: 31630 Epoch: [5] [ 80/5278] eta: 4:28:29 lr: 4.432062017777605e-05 loss: 0.1410 (0.1537) loss_seg: 0.1396 (0.1523) loss_lansim: 0.1288 (0.1290) loss_contra: 0.0031 (0.0114) time: 3.0992 data: 0.0262 max mem: 31630 Epoch: [5] [ 90/5278] eta: 4:28:03 lr: 4.431845993503582e-05 loss: 0.1431 (0.1560) loss_seg: 0.1416 (0.1546) loss_lansim: 0.1307 (0.1301) loss_contra: 0.0037 (0.0127) time: 3.1001 data: 0.0241 max mem: 31630 Epoch: [5] [ 100/5278] eta: 4:27:45 lr: 4.431629968059575e-05 loss: 0.1410 (0.1559) loss_seg: 0.1396 (0.1544) loss_lansim: 0.1306 (0.1303) loss_contra: 0.0037 (0.0131) time: 3.0848 data: 0.0064 max mem: 31630 Epoch: [5] [ 110/5278] eta: 4:27:28 lr: 4.431413941445512e-05 loss: 0.1409 (0.1549) loss_seg: 0.1396 (0.1534) loss_lansim: 0.1296 (0.1304) loss_contra: 0.0043 (0.0160) time: 3.0921 data: 0.0065 max mem: 31630 Epoch: [5] [ 120/5278] eta: 4:26:29 lr: 4.4311979136613256e-05 loss: 0.1353 (0.1526) loss_seg: 0.1337 (0.1512) loss_lansim: 0.1295 (0.1302) loss_contra: 0.0048 (0.0167) time: 3.0900 data: 0.0065 max mem: 31630 Epoch: [5] [ 130/5278] eta: 4:25:55 lr: 4.4309818847069454e-05 loss: 0.1400 (0.1524) loss_seg: 0.1386 (0.1509) loss_lansim: 0.1296 (0.1298) loss_contra: 0.0048 (0.0174) time: 3.0925 data: 0.0066 max mem: 31630 Epoch: [5] [ 140/5278] eta: 4:25:12 lr: 4.4307658545823004e-05 loss: 0.1400 (0.1534) loss_seg: 0.1386 (0.1519) loss_lansim: 0.1296 (0.1297) loss_contra: 0.0048 (0.0168) time: 3.0899 data: 0.0066 max mem: 31630 Epoch: [5] [ 150/5278] eta: 4:24:44 lr: 4.430549823287322e-05 loss: 0.1409 (0.1547) loss_seg: 0.1396 (0.1532) loss_lansim: 0.1288 (0.1296) loss_contra: 0.0051 (0.0162) time: 3.0944 data: 0.0065 max mem: 31630 Epoch: [5] [ 160/5278] eta: 4:24:03 lr: 4.43033379082194e-05 loss: 0.1403 (0.1545) loss_seg: 0.1389 (0.1530) loss_lansim: 0.1287 (0.1294) loss_contra: 0.0053 (0.0160) time: 3.0905 data: 0.0064 max mem: 31630 Epoch: [5] [ 170/5278] eta: 4:23:40 lr: 4.4301177571860856e-05 loss: 0.1411 (0.1548) loss_seg: 0.1400 (0.1533) loss_lansim: 0.1283 (0.1292) loss_contra: 0.0051 (0.0156) time: 3.0951 data: 0.0065 max mem: 31630 Epoch: [5] [ 180/5278] eta: 4:22:44 lr: 4.429901722379688e-05 loss: 0.1438 (0.1541) loss_seg: 0.1425 (0.1527) loss_lansim: 0.1283 (0.1288) loss_contra: 0.0053 (0.0157) time: 3.0868 data: 0.0066 max mem: 31630 Epoch: [5] [ 190/5278] eta: 4:22:18 lr: 4.429685686402678e-05 loss: 0.1438 (0.1540) loss_seg: 0.1425 (0.1526) loss_lansim: 0.1264 (0.1285) loss_contra: 0.0051 (0.0158) time: 3.0870 data: 0.0066 max mem: 31630 Epoch: [5] [ 200/5278] eta: 4:21:43 lr: 4.429469649254985e-05 loss: 0.1428 (0.1545) loss_seg: 0.1417 (0.1530) loss_lansim: 0.1264 (0.1285) loss_contra: 0.0051 (0.0156) time: 3.0822 data: 0.0066 max mem: 31630 Epoch: [5] [ 210/5278] eta: 4:21:16 lr: 4.4292536109365406e-05 loss: 0.1444 (0.1550) loss_seg: 0.1430 (0.1536) loss_lansim: 0.1261 (0.1284) loss_contra: 0.0039 (0.0166) time: 3.0797 data: 0.0068 max mem: 31630 Epoch: [5] [ 220/5278] eta: 4:20:52 lr: 4.4290375714472735e-05 loss: 0.1473 (0.1543) loss_seg: 0.1456 (0.1528) loss_lansim: 0.1268 (0.1290) loss_contra: 0.0036 (0.0163) time: 3.0880 data: 0.0068 max mem: 31630 Epoch: [5] [ 230/5278] eta: 4:20:08 lr: 4.428821530787115e-05 loss: 0.1496 (0.1542) loss_seg: 0.1463 (0.1527) loss_lansim: 0.1271 (0.1294) loss_contra: 0.0038 (0.0163) time: 3.0824 data: 0.0069 max mem: 31630 Epoch: [5] [ 240/5278] eta: 4:19:30 lr: 4.4286054889559954e-05 loss: 0.1473 (0.1539) loss_seg: 0.1456 (0.1525) loss_lansim: 0.1288 (0.1298) loss_contra: 0.0038 (0.0158) time: 3.0815 data: 0.0069 max mem: 31630 Epoch: [5] [ 250/5278] eta: 4:19:10 lr: 4.4283894459538435e-05 loss: 0.1428 (0.1539) loss_seg: 0.1417 (0.1525) loss_lansim: 0.1315 (0.1305) loss_contra: 0.0038 (0.0156) time: 3.0855 data: 0.0071 max mem: 31630 Epoch: [5] [ 260/5278] eta: 4:18:35 lr: 4.4281734017805906e-05 loss: 0.1455 (0.1541) loss_seg: 0.1443 (0.1526) loss_lansim: 0.1325 (0.1312) loss_contra: 0.0046 (0.0164) time: 3.0861 data: 0.0072 max mem: 31630 Epoch: [5] [ 270/5278] eta: 4:17:56 lr: 4.427957356436166e-05 loss: 0.1506 (0.1549) loss_seg: 0.1492 (0.1534) loss_lansim: 0.1359 (0.1323) loss_contra: 0.0052 (0.0160) time: 3.0789 data: 0.0073 max mem: 31630 Epoch: [5] [ 280/5278] eta: 4:17:28 lr: 4.427741309920501e-05 loss: 0.1496 (0.1549) loss_seg: 0.1463 (0.1534) loss_lansim: 0.1399 (0.1340) loss_contra: 0.0042 (0.0159) time: 3.0882 data: 0.0072 max mem: 31630 Epoch: [5] [ 290/5278] eta: 4:16:54 lr: 4.4275252622335254e-05 loss: 0.1523 (0.1556) loss_seg: 0.1508 (0.1541) loss_lansim: 0.1447 (0.1355) loss_contra: 0.0045 (0.0164) time: 3.0850 data: 0.0073 max mem: 31630 Epoch: [5] [ 300/5278] eta: 4:16:22 lr: 4.427309213375169e-05 loss: 0.1547 (0.1559) loss_seg: 0.1533 (0.1544) loss_lansim: 0.1465 (0.1362) loss_contra: 0.0042 (0.0168) time: 3.0855 data: 0.0073 max mem: 31630 Epoch: [5] [ 310/5278] eta: 4:15:54 lr: 4.4270931633453625e-05 loss: 0.1529 (0.1571) loss_seg: 0.1517 (0.1555) loss_lansim: 0.1496 (0.1369) loss_contra: 0.0045 (0.0184) time: 3.0854 data: 0.0072 max mem: 31630 Epoch: [5] [ 320/5278] eta: 4:15:22 lr: 4.426877112144035e-05 loss: 0.1550 (0.1576) loss_seg: 0.1534 (0.1560) loss_lansim: 0.1518 (0.1373) loss_contra: 0.0046 (0.0183) time: 3.0814 data: 0.0073 max mem: 31630 Epoch: [5] [ 330/5278] eta: 4:14:41 lr: 4.426661059771118e-05 loss: 0.1550 (0.1575) loss_seg: 0.1535 (0.1559) loss_lansim: 0.1556 (0.1378) loss_contra: 0.0045 (0.0189) time: 3.0803 data: 0.0073 max mem: 31630 Epoch: [5] [ 340/5278] eta: 4:14:17 lr: 4.42644500622654e-05 loss: 0.1554 (0.1572) loss_seg: 0.1539 (0.1557) loss_lansim: 0.1556 (0.1377) loss_contra: 0.0052 (0.0187) time: 3.0878 data: 0.0073 max mem: 31630 Epoch: [5] [ 350/5278] eta: 4:13:43 lr: 4.4262289515102326e-05 loss: 0.1561 (0.1573) loss_seg: 0.1539 (0.1557) loss_lansim: 0.1556 (0.1377) loss_contra: 0.0046 (0.0184) time: 3.0800 data: 0.0072 max mem: 31630 Epoch: [5] [ 360/5278] eta: 4:13:02 lr: 4.426012895622125e-05 loss: 0.1553 (0.1569) loss_seg: 0.1535 (0.1554) loss_lansim: 0.1537 (0.1378) loss_contra: 0.0039 (0.0181) time: 3.0744 data: 0.0071 max mem: 31630 Epoch: [5] [ 370/5278] eta: 4:12:27 lr: 4.425796838562148e-05 loss: 0.1529 (0.1562) loss_seg: 0.1515 (0.1546) loss_lansim: 0.1468 (0.1378) loss_contra: 0.0041 (0.0180) time: 3.0747 data: 0.0071 max mem: 31630 Epoch: [5] [ 380/5278] eta: 4:11:59 lr: 4.42558078033023e-05 loss: 0.1525 (0.1557) loss_seg: 0.1510 (0.1542) loss_lansim: 0.1447 (0.1378) loss_contra: 0.0039 (0.0180) time: 3.0757 data: 0.0071 max mem: 31630 Epoch: [5] [ 390/5278] eta: 4:11:36 lr: 4.4253647209263035e-05 loss: 0.1529 (0.1560) loss_seg: 0.1515 (0.1545) loss_lansim: 0.1419 (0.1379) loss_contra: 0.0039 (0.0178) time: 3.0832 data: 0.0069 max mem: 31630 Epoch: [5] [ 400/5278] eta: 4:11:10 lr: 4.425148660350297e-05 loss: 0.1506 (0.1560) loss_seg: 0.1493 (0.1544) loss_lansim: 0.1419 (0.1382) loss_contra: 0.0042 (0.0176) time: 3.0875 data: 0.0068 max mem: 31630 Epoch: [5] [ 410/5278] eta: 4:10:34 lr: 4.42493259860214e-05 loss: 0.1497 (0.1559) loss_seg: 0.1483 (0.1544) loss_lansim: 0.1410 (0.1383) loss_contra: 0.0035 (0.0173) time: 3.0817 data: 0.0067 max mem: 31630 Epoch: [5] [ 420/5278] eta: 4:10:06 lr: 4.4247165356817647e-05 loss: 0.1479 (0.1565) loss_seg: 0.1464 (0.1549) loss_lansim: 0.1405 (0.1385) loss_contra: 0.0034 (0.0170) time: 3.0845 data: 0.0067 max mem: 31630 Epoch: [5] [ 430/5278] eta: 4:09:38 lr: 4.4245004715890995e-05 loss: 0.1463 (0.1563) loss_seg: 0.1446 (0.1547) loss_lansim: 0.1402 (0.1389) loss_contra: 0.0030 (0.0170) time: 3.0935 data: 0.0068 max mem: 31630 Epoch: [5] [ 440/5278] eta: 4:09:06 lr: 4.424284406324074e-05 loss: 0.1463 (0.1562) loss_seg: 0.1446 (0.1547) loss_lansim: 0.1414 (0.1390) loss_contra: 0.0029 (0.0171) time: 3.0877 data: 0.0068 max mem: 31630 Epoch: [5] [ 450/5278] eta: 4:08:32 lr: 4.424068339886621e-05 loss: 0.1463 (0.1563) loss_seg: 0.1446 (0.1548) loss_lansim: 0.1419 (0.1391) loss_contra: 0.0029 (0.0173) time: 3.0877 data: 0.0069 max mem: 31630 Epoch: [5] [ 460/5278] eta: 4:08:00 lr: 4.4238522722766675e-05 loss: 0.1483 (0.1565) loss_seg: 0.1470 (0.1549) loss_lansim: 0.1407 (0.1391) loss_contra: 0.0027 (0.0172) time: 3.0938 data: 0.0070 max mem: 31630 Epoch: [5] [ 470/5278] eta: 4:07:24 lr: 4.423636203494144e-05 loss: 0.1479 (0.1563) loss_seg: 0.1464 (0.1547) loss_lansim: 0.1423 (0.1393) loss_contra: 0.0029 (0.0169) time: 3.0921 data: 0.0070 max mem: 31630 Epoch: [5] [ 480/5278] eta: 4:06:45 lr: 4.423420133538981e-05 loss: 0.1532 (0.1574) loss_seg: 0.1518 (0.1559) loss_lansim: 0.1427 (0.1393) loss_contra: 0.0029 (0.0167) time: 3.0820 data: 0.0070 max mem: 31630 Epoch: [5] [ 490/5278] eta: 4:06:16 lr: 4.4232040624111096e-05 loss: 0.1497 (0.1581) loss_seg: 0.1481 (0.1566) loss_lansim: 0.1446 (0.1395) loss_contra: 0.0020 (0.0166) time: 3.0773 data: 0.0071 max mem: 31630 Epoch: [5] [ 500/5278] eta: 4:05:44 lr: 4.422987990110458e-05 loss: 0.1548 (0.1583) loss_seg: 0.1532 (0.1567) loss_lansim: 0.1427 (0.1397) loss_contra: 0.0020 (0.0165) time: 3.0713 data: 0.0072 max mem: 31630 Epoch: [5] [ 510/5278] eta: 4:05:10 lr: 4.422771916636957e-05 loss: 0.1594 (0.1588) loss_seg: 0.1575 (0.1572) loss_lansim: 0.1445 (0.1400) loss_contra: 0.0023 (0.0163) time: 3.0720 data: 0.0073 max mem: 31630 Epoch: [5] [ 520/5278] eta: 4:04:29 lr: 4.4225558419905366e-05 loss: 0.1606 (0.1593) loss_seg: 0.1591 (0.1578) loss_lansim: 0.1444 (0.1401) loss_contra: 0.0024 (0.0163) time: 3.0582 data: 0.0072 max mem: 31630 Epoch: [5] [ 530/5278] eta: 4:04:00 lr: 4.422339766171127e-05 loss: 0.1617 (0.1596) loss_seg: 0.1602 (0.1580) loss_lansim: 0.1426 (0.1402) loss_contra: 0.0029 (0.0170) time: 3.0567 data: 0.0071 max mem: 31630 Epoch: [5] [ 540/5278] eta: 4:03:29 lr: 4.422123689178658e-05 loss: 0.1597 (0.1592) loss_seg: 0.1578 (0.1576) loss_lansim: 0.1415 (0.1400) loss_contra: 0.0029 (0.0169) time: 3.0575 data: 0.0071 max mem: 31630 Epoch: [5] [ 550/5278] eta: 4:02:56 lr: 4.4219076110130586e-05 loss: 0.1597 (0.1595) loss_seg: 0.1578 (0.1579) loss_lansim: 0.1413 (0.1400) loss_contra: 0.0029 (0.0168) time: 3.0565 data: 0.0070 max mem: 31630 Epoch: [5] [ 560/5278] eta: 4:02:29 lr: 4.421691531674259e-05 loss: 0.1586 (0.1595) loss_seg: 0.1572 (0.1580) loss_lansim: 0.1414 (0.1399) loss_contra: 0.0031 (0.0166) time: 3.0625 data: 0.0070 max mem: 31630 Epoch: [5] [ 570/5278] eta: 4:01:54 lr: 4.42147545116219e-05 loss: 0.1606 (0.1593) loss_seg: 0.1578 (0.1577) loss_lansim: 0.1396 (0.1398) loss_contra: 0.0029 (0.0169) time: 3.0616 data: 0.0070 max mem: 31630 Epoch: [5] [ 580/5278] eta: 4:01:30 lr: 4.421259369476782e-05 loss: 0.1594 (0.1592) loss_seg: 0.1572 (0.1576) loss_lansim: 0.1395 (0.1397) loss_contra: 0.0029 (0.0169) time: 3.0774 data: 0.0070 max mem: 31630 Epoch: [5] [ 590/5278] eta: 4:00:57 lr: 4.421043286617963e-05 loss: 0.1525 (0.1590) loss_seg: 0.1494 (0.1575) loss_lansim: 0.1385 (0.1394) loss_contra: 0.0035 (0.0170) time: 3.0727 data: 0.0070 max mem: 31630 Epoch: [5] [ 600/5278] eta: 4:00:30 lr: 4.420827202585665e-05 loss: 0.1525 (0.1591) loss_seg: 0.1498 (0.1575) loss_lansim: 0.1352 (0.1393) loss_contra: 0.0046 (0.0173) time: 3.0789 data: 0.0069 max mem: 31630 Epoch: [5] [ 610/5278] eta: 3:59:59 lr: 4.420611117379816e-05 loss: 0.1497 (0.1588) loss_seg: 0.1481 (0.1572) loss_lansim: 0.1348 (0.1393) loss_contra: 0.0043 (0.0172) time: 3.0814 data: 0.0069 max mem: 31630 Epoch: [5] [ 620/5278] eta: 3:59:25 lr: 4.420395031000347e-05 loss: 0.1450 (0.1583) loss_seg: 0.1437 (0.1567) loss_lansim: 0.1341 (0.1392) loss_contra: 0.0043 (0.0172) time: 3.0891 data: 0.0070 max mem: 31630 Epoch: [5] [ 630/5278] eta: 3:58:58 lr: 4.420178943447188e-05 loss: 0.1405 (0.1586) loss_seg: 0.1389 (0.1570) loss_lansim: 0.1327 (0.1389) loss_contra: 0.0039 (0.0173) time: 3.0932 data: 0.0069 max mem: 31630 Epoch: [5] [ 640/5278] eta: 3:58:26 lr: 4.419962854720268e-05 loss: 0.1393 (0.1580) loss_seg: 0.1380 (0.1565) loss_lansim: 0.1313 (0.1386) loss_contra: 0.0041 (0.0173) time: 3.0915 data: 0.0069 max mem: 31630 Epoch: [5] [ 650/5278] eta: 3:57:58 lr: 4.419746764819517e-05 loss: 0.1401 (0.1580) loss_seg: 0.1389 (0.1564) loss_lansim: 0.1280 (0.1384) loss_contra: 0.0042 (0.0172) time: 3.0973 data: 0.0070 max mem: 31630 Epoch: [5] [ 660/5278] eta: 3:57:28 lr: 4.419530673744865e-05 loss: 0.1363 (0.1575) loss_seg: 0.1347 (0.1559) loss_lansim: 0.1276 (0.1383) loss_contra: 0.0043 (0.0171) time: 3.0935 data: 0.0070 max mem: 31630 Epoch: [5] [ 670/5278] eta: 3:56:55 lr: 4.4193145814962435e-05 loss: 0.1401 (0.1579) loss_seg: 0.1389 (0.1564) loss_lansim: 0.1274 (0.1382) loss_contra: 0.0039 (0.0170) time: 3.0962 data: 0.0070 max mem: 31630 Epoch: [5] [ 680/5278] eta: 3:56:29 lr: 4.419098488073579e-05 loss: 0.1431 (0.1590) loss_seg: 0.1416 (0.1575) loss_lansim: 0.1272 (0.1382) loss_contra: 0.0041 (0.0169) time: 3.0960 data: 0.0070 max mem: 31630 Epoch: [5] [ 690/5278] eta: 3:56:00 lr: 4.418882393476804e-05 loss: 0.1480 (0.1595) loss_seg: 0.1469 (0.1579) loss_lansim: 0.1273 (0.1380) loss_contra: 0.0037 (0.0170) time: 3.1014 data: 0.0070 max mem: 31630 Epoch: [5] [ 700/5278] eta: 3:55:29 lr: 4.418666297705848e-05 loss: 0.1450 (0.1592) loss_seg: 0.1437 (0.1576) loss_lansim: 0.1270 (0.1378) loss_contra: 0.0032 (0.0169) time: 3.0966 data: 0.0071 max mem: 31630 Epoch: [5] [ 710/5278] eta: 3:55:03 lr: 4.4184502007606406e-05 loss: 0.1452 (0.1591) loss_seg: 0.1440 (0.1575) loss_lansim: 0.1243 (0.1375) loss_contra: 0.0033 (0.0173) time: 3.1051 data: 0.0070 max mem: 31630 Epoch: [5] [ 720/5278] eta: 3:54:36 lr: 4.418234102641111e-05 loss: 0.1480 (0.1589) loss_seg: 0.1469 (0.1573) loss_lansim: 0.1229 (0.1372) loss_contra: 0.0039 (0.0174) time: 3.1153 data: 0.0071 max mem: 31630 Epoch: [5] [ 730/5278] eta: 3:53:56 lr: 4.418018003347188e-05 loss: 0.1354 (0.1584) loss_seg: 0.1339 (0.1569) loss_lansim: 0.1220 (0.1369) loss_contra: 0.0043 (0.0175) time: 3.0945 data: 0.0072 max mem: 31630 Epoch: [5] [ 740/5278] eta: 3:53:20 lr: 4.417801902878804e-05 loss: 0.1417 (0.1582) loss_seg: 0.1397 (0.1566) loss_lansim: 0.1211 (0.1365) loss_contra: 0.0039 (0.0177) time: 3.0877 data: 0.0070 max mem: 31630 Epoch: [5] [ 750/5278] eta: 3:52:47 lr: 4.417585801235888e-05 loss: 0.1347 (0.1579) loss_seg: 0.1336 (0.1563) loss_lansim: 0.1204 (0.1363) loss_contra: 0.0039 (0.0180) time: 3.0816 data: 0.0069 max mem: 31630 Epoch: [5] [ 760/5278] eta: 3:52:10 lr: 4.4173696984183685e-05 loss: 0.1464 (0.1580) loss_seg: 0.1452 (0.1564) loss_lansim: 0.1181 (0.1360) loss_contra: 0.0039 (0.0180) time: 3.0698 data: 0.0069 max mem: 31630 Epoch: [5] [ 770/5278] eta: 3:51:31 lr: 4.417153594426176e-05 loss: 0.1417 (0.1579) loss_seg: 0.1397 (0.1563) loss_lansim: 0.1166 (0.1357) loss_contra: 0.0043 (0.0183) time: 3.0595 data: 0.0069 max mem: 31630 Epoch: [5] [ 780/5278] eta: 3:50:55 lr: 4.41693748925924e-05 loss: 0.1311 (0.1579) loss_seg: 0.1289 (0.1563) loss_lansim: 0.1149 (0.1355) loss_contra: 0.0043 (0.0181) time: 3.0419 data: 0.0069 max mem: 31630 Epoch: [5] [ 790/5278] eta: 3:50:19 lr: 4.416721382917492e-05 loss: 0.1289 (0.1577) loss_seg: 0.1274 (0.1562) loss_lansim: 0.1137 (0.1352) loss_contra: 0.0041 (0.0180) time: 3.0290 data: 0.0069 max mem: 31630 Epoch: [5] [ 800/5278] eta: 3:49:41 lr: 4.416505275400859e-05 loss: 0.1311 (0.1579) loss_seg: 0.1289 (0.1564) loss_lansim: 0.1119 (0.1349) loss_contra: 0.0059 (0.0180) time: 3.0167 data: 0.0067 max mem: 31630 Epoch: [5] [ 810/5278] eta: 3:49:07 lr: 4.416289166709272e-05 loss: 0.1347 (0.1580) loss_seg: 0.1336 (0.1565) loss_lansim: 0.1123 (0.1347) loss_contra: 0.0041 (0.0180) time: 3.0009 data: 0.0067 max mem: 31630 Epoch: [5] [ 820/5278] eta: 3:48:34 lr: 4.416073056842662e-05 loss: 0.1417 (0.1584) loss_seg: 0.1397 (0.1569) loss_lansim: 0.1139 (0.1346) loss_contra: 0.0037 (0.0179) time: 2.9891 data: 0.0068 max mem: 31630 Epoch: [5] [ 830/5278] eta: 3:48:01 lr: 4.415856945800957e-05 loss: 0.1471 (0.1585) loss_seg: 0.1457 (0.1570) loss_lansim: 0.1139 (0.1345) loss_contra: 0.0034 (0.0179) time: 2.9990 data: 0.0067 max mem: 31630 Epoch: [5] [ 840/5278] eta: 3:47:21 lr: 4.4156408335840864e-05 loss: 0.1477 (0.1585) loss_seg: 0.1464 (0.1570) loss_lansim: 0.1156 (0.1344) loss_contra: 0.0034 (0.0179) time: 2.9891 data: 0.0067 max mem: 31630 Epoch: [5] [ 850/5278] eta: 3:46:46 lr: 4.4154247201919814e-05 loss: 0.1567 (0.1589) loss_seg: 0.1554 (0.1574) loss_lansim: 0.1157 (0.1342) loss_contra: 0.0036 (0.0181) time: 2.9845 data: 0.0068 max mem: 31630 Epoch: [5] [ 860/5278] eta: 3:46:13 lr: 4.415208605624571e-05 loss: 0.1572 (0.1592) loss_seg: 0.1559 (0.1577) loss_lansim: 0.1185 (0.1344) loss_contra: 0.0041 (0.0182) time: 2.9889 data: 0.0069 max mem: 31630 Epoch: [5] [ 870/5278] eta: 3:45:36 lr: 4.414992489881785e-05 loss: 0.1719 (0.1600) loss_seg: 0.1704 (0.1585) loss_lansim: 0.1250 (0.1346) loss_contra: 0.0050 (0.0184) time: 2.9890 data: 0.0068 max mem: 31630 Epoch: [5] [ 880/5278] eta: 3:45:04 lr: 4.4147763729635526e-05 loss: 0.1751 (0.1611) loss_seg: 0.1736 (0.1595) loss_lansim: 0.1268 (0.1347) loss_contra: 0.0083 (0.0187) time: 2.9944 data: 0.0067 max mem: 31630 Epoch: [5] [ 890/5278] eta: 3:44:29 lr: 4.414560254869804e-05 loss: 0.1845 (0.1623) loss_seg: 0.1828 (0.1607) loss_lansim: 0.1315 (0.1349) loss_contra: 0.0091 (0.0198) time: 2.9934 data: 0.0067 max mem: 31630 Epoch: [5] [ 900/5278] eta: 3:43:52 lr: 4.414344135600469e-05 loss: 0.1911 (0.1633) loss_seg: 0.1899 (0.1618) loss_lansim: 0.1339 (0.1350) loss_contra: 0.0116 (0.0203) time: 2.9920 data: 0.0068 max mem: 31630 Epoch: [5] [ 910/5278] eta: 3:43:18 lr: 4.414128015155476e-05 loss: 0.1989 (0.1640) loss_seg: 0.1972 (0.1624) loss_lansim: 0.1353 (0.1350) loss_contra: 0.0163 (0.0212) time: 2.9920 data: 0.0067 max mem: 31630 Epoch: [5] [ 920/5278] eta: 3:42:43 lr: 4.4139118935347565e-05 loss: 0.2034 (0.1646) loss_seg: 0.2010 (0.1631) loss_lansim: 0.1367 (0.1350) loss_contra: 0.0168 (0.0212) time: 2.9842 data: 0.0066 max mem: 31630 Epoch: [5] [ 930/5278] eta: 3:42:08 lr: 4.413695770738239e-05 loss: 0.2066 (0.1653) loss_seg: 0.2045 (0.1638) loss_lansim: 0.1416 (0.1353) loss_contra: 0.0220 (0.0218) time: 2.9792 data: 0.0066 max mem: 31630 Epoch: [5] [ 940/5278] eta: 3:41:34 lr: 4.413479646765854e-05 loss: 0.2088 (0.1657) loss_seg: 0.2072 (0.1641) loss_lansim: 0.1436 (0.1357) loss_contra: 0.0232 (0.0227) time: 2.9893 data: 0.0066 max mem: 31630 Epoch: [5] [ 950/5278] eta: 3:41:00 lr: 4.41326352161753e-05 loss: 0.2164 (0.1665) loss_seg: 0.2145 (0.1649) loss_lansim: 0.1488 (0.1361) loss_contra: 0.0235 (0.0229) time: 2.9869 data: 0.0065 max mem: 31630 Epoch: [5] [ 960/5278] eta: 3:40:23 lr: 4.4130473952931974e-05 loss: 0.2206 (0.1668) loss_seg: 0.2191 (0.1652) loss_lansim: 0.1512 (0.1365) loss_contra: 0.0262 (0.0228) time: 2.9774 data: 0.0064 max mem: 31630 Epoch: [5] [ 970/5278] eta: 3:39:51 lr: 4.412831267792785e-05 loss: 0.2170 (0.1671) loss_seg: 0.2151 (0.1655) loss_lansim: 0.1526 (0.1367) loss_contra: 0.0266 (0.0229) time: 2.9853 data: 0.0063 max mem: 31630 Epoch: [5] [ 980/5278] eta: 3:39:16 lr: 4.412615139116223e-05 loss: 0.2170 (0.1676) loss_seg: 0.2151 (0.1660) loss_lansim: 0.1532 (0.1369) loss_contra: 0.0254 (0.0230) time: 2.9759 data: 0.0063 max mem: 31630 Epoch: [5] [ 990/5278] eta: 3:38:41 lr: 4.41239900926344e-05 loss: 0.2032 (0.1677) loss_seg: 0.2012 (0.1661) loss_lansim: 0.1532 (0.1369) loss_contra: 0.0169 (0.0229) time: 2.9754 data: 0.0062 max mem: 31630 Epoch: [5] [1000/5278] eta: 3:38:07 lr: 4.4121828782343684e-05 loss: 0.1989 (0.1681) loss_seg: 0.1971 (0.1665) loss_lansim: 0.1561 (0.1370) loss_contra: 0.0138 (0.0229) time: 2.9787 data: 0.0060 max mem: 31630 Epoch: [5] [1010/5278] eta: 3:37:33 lr: 4.411966746028935e-05 loss: 0.1993 (0.1686) loss_seg: 0.1976 (0.1670) loss_lansim: 0.1574 (0.1371) loss_contra: 0.0111 (0.0229) time: 2.9762 data: 0.0061 max mem: 31630 Epoch: [5] [1020/5278] eta: 3:36:58 lr: 4.4117506126470695e-05 loss: 0.1919 (0.1687) loss_seg: 0.1896 (0.1671) loss_lansim: 0.1572 (0.1372) loss_contra: 0.0101 (0.0231) time: 2.9762 data: 0.0060 max mem: 31630 Epoch: [5] [1030/5278] eta: 3:36:24 lr: 4.411534478088704e-05 loss: 0.1857 (0.1687) loss_seg: 0.1838 (0.1671) loss_lansim: 0.1561 (0.1373) loss_contra: 0.0091 (0.0231) time: 2.9760 data: 0.0060 max mem: 31630 Epoch: [5] [1040/5278] eta: 3:35:51 lr: 4.411318342353765e-05 loss: 0.1847 (0.1685) loss_seg: 0.1832 (0.1669) loss_lansim: 0.1522 (0.1373) loss_contra: 0.0063 (0.0231) time: 2.9737 data: 0.0060 max mem: 31630 Epoch: [5] [1050/5278] eta: 3:35:17 lr: 4.411102205442183e-05 loss: 0.1799 (0.1685) loss_seg: 0.1779 (0.1669) loss_lansim: 0.1491 (0.1373) loss_contra: 0.0053 (0.0234) time: 2.9723 data: 0.0060 max mem: 31630 Epoch: [5] [1060/5278] eta: 3:34:44 lr: 4.410886067353888e-05 loss: 0.1779 (0.1685) loss_seg: 0.1762 (0.1668) loss_lansim: 0.1450 (0.1373) loss_contra: 0.0052 (0.0232) time: 2.9786 data: 0.0060 max mem: 31630 Epoch: [5] [1070/5278] eta: 3:34:11 lr: 4.41066992808881e-05 loss: 0.1706 (0.1684) loss_seg: 0.1691 (0.1668) loss_lansim: 0.1427 (0.1373) loss_contra: 0.0046 (0.0233) time: 2.9758 data: 0.0061 max mem: 31630 Epoch: [5] [1080/5278] eta: 3:33:36 lr: 4.410453787646878e-05 loss: 0.1654 (0.1686) loss_seg: 0.1642 (0.1670) loss_lansim: 0.1424 (0.1374) loss_contra: 0.0037 (0.0231) time: 2.9732 data: 0.0060 max mem: 31630 Epoch: [5] [1090/5278] eta: 3:33:04 lr: 4.4102376460280205e-05 loss: 0.1678 (0.1690) loss_seg: 0.1660 (0.1674) loss_lansim: 0.1450 (0.1377) loss_contra: 0.0035 (0.0231) time: 2.9798 data: 0.0060 max mem: 31630 Epoch: [5] [1100/5278] eta: 3:32:32 lr: 4.410021503232168e-05 loss: 0.1633 (0.1687) loss_seg: 0.1615 (0.1671) loss_lansim: 0.1453 (0.1379) loss_contra: 0.0043 (0.0232) time: 2.9838 data: 0.0060 max mem: 31630 Epoch: [5] [1110/5278] eta: 3:31:59 lr: 4.4098053592592505e-05 loss: 0.1586 (0.1689) loss_seg: 0.1574 (0.1672) loss_lansim: 0.1450 (0.1380) loss_contra: 0.0045 (0.0236) time: 2.9823 data: 0.0060 max mem: 31630 Epoch: [5] [1120/5278] eta: 3:31:25 lr: 4.409589214109196e-05 loss: 0.1574 (0.1690) loss_seg: 0.1560 (0.1674) loss_lansim: 0.1450 (0.1381) loss_contra: 0.0037 (0.0236) time: 2.9833 data: 0.0060 max mem: 31630 Epoch: [5] [1130/5278] eta: 3:30:51 lr: 4.4093730677819356e-05 loss: 0.1643 (0.1698) loss_seg: 0.1630 (0.1682) loss_lansim: 0.1468 (0.1383) loss_contra: 0.0046 (0.0236) time: 2.9821 data: 0.0060 max mem: 31630 Epoch: [5] [1140/5278] eta: 3:30:18 lr: 4.4091569202773974e-05 loss: 0.1678 (0.1701) loss_seg: 0.1660 (0.1685) loss_lansim: 0.1473 (0.1384) loss_contra: 0.0049 (0.0237) time: 2.9815 data: 0.0060 max mem: 31630 Epoch: [5] [1150/5278] eta: 3:29:43 lr: 4.408940771595512e-05 loss: 0.1654 (0.1699) loss_seg: 0.1642 (0.1683) loss_lansim: 0.1503 (0.1386) loss_contra: 0.0052 (0.0239) time: 2.9754 data: 0.0059 max mem: 31630 Epoch: [5] [1160/5278] eta: 3:29:09 lr: 4.4087246217362084e-05 loss: 0.1678 (0.1698) loss_seg: 0.1660 (0.1682) loss_lansim: 0.1534 (0.1387) loss_contra: 0.0056 (0.0240) time: 2.9731 data: 0.0059 max mem: 31630 Epoch: [5] [1170/5278] eta: 3:28:37 lr: 4.4085084706994154e-05 loss: 0.1750 (0.1701) loss_seg: 0.1737 (0.1685) loss_lansim: 0.1557 (0.1388) loss_contra: 0.0072 (0.0240) time: 2.9719 data: 0.0059 max mem: 31630 Epoch: [5] [1180/5278] eta: 3:28:04 lr: 4.408292318485063e-05 loss: 0.1709 (0.1701) loss_seg: 0.1691 (0.1685) loss_lansim: 0.1557 (0.1390) loss_contra: 0.0066 (0.0239) time: 2.9774 data: 0.0059 max mem: 31630 Epoch: [5] [1190/5278] eta: 3:27:31 lr: 4.4080761650930806e-05 loss: 0.1684 (0.1703) loss_seg: 0.1666 (0.1687) loss_lansim: 0.1508 (0.1391) loss_contra: 0.0076 (0.0238) time: 2.9717 data: 0.0059 max mem: 31630 Epoch: [5] [1200/5278] eta: 3:26:58 lr: 4.407860010523398e-05 loss: 0.1685 (0.1702) loss_seg: 0.1669 (0.1685) loss_lansim: 0.1528 (0.1393) loss_contra: 0.0062 (0.0237) time: 2.9675 data: 0.0059 max mem: 31630 Epoch: [5] [1210/5278] eta: 3:26:26 lr: 4.4076438547759443e-05 loss: 0.1709 (0.1703) loss_seg: 0.1687 (0.1687) loss_lansim: 0.1557 (0.1395) loss_contra: 0.0060 (0.0239) time: 2.9689 data: 0.0059 max mem: 31630 Epoch: [5] [1220/5278] eta: 3:25:52 lr: 4.407427697850649e-05 loss: 0.1708 (0.1704) loss_seg: 0.1685 (0.1688) loss_lansim: 0.1581 (0.1397) loss_contra: 0.0062 (0.0240) time: 2.9679 data: 0.0060 max mem: 31630 Epoch: [5] [1230/5278] eta: 3:25:20 lr: 4.4072115397474414e-05 loss: 0.1593 (0.1704) loss_seg: 0.1577 (0.1688) loss_lansim: 0.1567 (0.1398) loss_contra: 0.0060 (0.0241) time: 2.9700 data: 0.0060 max mem: 31630 Epoch: [5] [1240/5278] eta: 3:24:48 lr: 4.4069953804662504e-05 loss: 0.1684 (0.1707) loss_seg: 0.1666 (0.1691) loss_lansim: 0.1579 (0.1400) loss_contra: 0.0062 (0.0243) time: 2.9718 data: 0.0061 max mem: 31630 Epoch: [5] [1250/5278] eta: 3:24:15 lr: 4.406779220007006e-05 loss: 0.1708 (0.1708) loss_seg: 0.1685 (0.1692) loss_lansim: 0.1571 (0.1402) loss_contra: 0.0066 (0.0246) time: 2.9786 data: 0.0061 max mem: 31630 Epoch: [5] [1260/5278] eta: 3:23:42 lr: 4.4065630583696376e-05 loss: 0.1685 (0.1708) loss_seg: 0.1669 (0.1692) loss_lansim: 0.1567 (0.1403) loss_contra: 0.0058 (0.0246) time: 2.9757 data: 0.0061 max mem: 31630 Epoch: [5] [1270/5278] eta: 3:23:11 lr: 4.4063468955540736e-05 loss: 0.1676 (0.1708) loss_seg: 0.1656 (0.1692) loss_lansim: 0.1571 (0.1405) loss_contra: 0.0055 (0.0248) time: 2.9798 data: 0.0062 max mem: 31630 Epoch: [5] [1280/5278] eta: 3:22:40 lr: 4.4061307315602454e-05 loss: 0.1667 (0.1709) loss_seg: 0.1646 (0.1692) loss_lansim: 0.1576 (0.1406) loss_contra: 0.0066 (0.0250) time: 2.9838 data: 0.0063 max mem: 31630 Epoch: [5] [1290/5278] eta: 3:22:07 lr: 4.4059145663880805e-05 loss: 0.1667 (0.1709) loss_seg: 0.1646 (0.1692) loss_lansim: 0.1581 (0.1408) loss_contra: 0.0073 (0.0250) time: 2.9812 data: 0.0063 max mem: 31630 Epoch: [5] [1300/5278] eta: 3:21:35 lr: 4.4056984000375085e-05 loss: 0.1744 (0.1711) loss_seg: 0.1720 (0.1694) loss_lansim: 0.1563 (0.1409) loss_contra: 0.0094 (0.0251) time: 2.9847 data: 0.0063 max mem: 31630 Epoch: [5] [1310/5278] eta: 3:21:02 lr: 4.4054822325084595e-05 loss: 0.1746 (0.1712) loss_seg: 0.1720 (0.1695) loss_lansim: 0.1562 (0.1410) loss_contra: 0.0096 (0.0250) time: 2.9818 data: 0.0064 max mem: 31630 Epoch: [5] [1320/5278] eta: 3:20:31 lr: 4.405266063800862e-05 loss: 0.1746 (0.1714) loss_seg: 0.1720 (0.1697) loss_lansim: 0.1548 (0.1411) loss_contra: 0.0096 (0.0250) time: 2.9865 data: 0.0064 max mem: 31630 Epoch: [5] [1330/5278] eta: 3:19:57 lr: 4.405049893914646e-05 loss: 0.1703 (0.1712) loss_seg: 0.1686 (0.1695) loss_lansim: 0.1561 (0.1412) loss_contra: 0.0094 (0.0250) time: 2.9810 data: 0.0064 max mem: 31630 Epoch: [5] [1340/5278] eta: 3:19:24 lr: 4.40483372284974e-05 loss: 0.1614 (0.1708) loss_seg: 0.1599 (0.1691) loss_lansim: 0.1527 (0.1412) loss_contra: 0.0094 (0.0249) time: 2.9763 data: 0.0063 max mem: 31630 Epoch: [5] [1350/5278] eta: 3:18:51 lr: 4.4046175506060746e-05 loss: 0.1674 (0.1710) loss_seg: 0.1648 (0.1694) loss_lansim: 0.1505 (0.1413) loss_contra: 0.0075 (0.0247) time: 2.9751 data: 0.0063 max mem: 31630 Epoch: [5] [1360/5278] eta: 3:18:19 lr: 4.404401377183577e-05 loss: 0.1674 (0.1710) loss_seg: 0.1648 (0.1693) loss_lansim: 0.1494 (0.1413) loss_contra: 0.0081 (0.0246) time: 2.9767 data: 0.0063 max mem: 31630 Epoch: [5] [1370/5278] eta: 3:17:47 lr: 4.40418520258218e-05 loss: 0.1584 (0.1708) loss_seg: 0.1562 (0.1692) loss_lansim: 0.1485 (0.1414) loss_contra: 0.0075 (0.0245) time: 2.9715 data: 0.0063 max mem: 31630 Epoch: [5] [1380/5278] eta: 3:17:14 lr: 4.403969026801809e-05 loss: 0.1587 (0.1709) loss_seg: 0.1568 (0.1693) loss_lansim: 0.1488 (0.1415) loss_contra: 0.0071 (0.0245) time: 2.9662 data: 0.0062 max mem: 31630 Epoch: [5] [1390/5278] eta: 3:16:43 lr: 4.4037528498423944e-05 loss: 0.1600 (0.1709) loss_seg: 0.1585 (0.1693) loss_lansim: 0.1488 (0.1416) loss_contra: 0.0069 (0.0244) time: 2.9720 data: 0.0062 max mem: 31630 Epoch: [5] [1400/5278] eta: 3:16:10 lr: 4.403536671703867e-05 loss: 0.1578 (0.1709) loss_seg: 0.1561 (0.1692) loss_lansim: 0.1488 (0.1416) loss_contra: 0.0069 (0.0244) time: 2.9629 data: 0.0062 max mem: 31630 Epoch: [5] [1410/5278] eta: 3:15:37 lr: 4.403320492386154e-05 loss: 0.1542 (0.1707) loss_seg: 0.1527 (0.1690) loss_lansim: 0.1483 (0.1416) loss_contra: 0.0065 (0.0243) time: 2.9626 data: 0.0061 max mem: 31630 Epoch: [5] [1420/5278] eta: 3:15:05 lr: 4.403104311889187e-05 loss: 0.1530 (0.1706) loss_seg: 0.1514 (0.1689) loss_lansim: 0.1461 (0.1417) loss_contra: 0.0064 (0.0245) time: 2.9596 data: 0.0061 max mem: 31630 Epoch: [5] [1430/5278] eta: 3:14:34 lr: 4.402888130212894e-05 loss: 0.1566 (0.1707) loss_seg: 0.1551 (0.1690) loss_lansim: 0.1467 (0.1417) loss_contra: 0.0056 (0.0245) time: 2.9672 data: 0.0061 max mem: 31630 Epoch: [5] [1440/5278] eta: 3:14:02 lr: 4.402671947357203e-05 loss: 0.1600 (0.1708) loss_seg: 0.1585 (0.1691) loss_lansim: 0.1463 (0.1418) loss_contra: 0.0062 (0.0246) time: 2.9714 data: 0.0061 max mem: 31630 Epoch: [5] [1450/5278] eta: 3:13:32 lr: 4.402455763322045e-05 loss: 0.1578 (0.1707) loss_seg: 0.1561 (0.1691) loss_lansim: 0.1467 (0.1418) loss_contra: 0.0069 (0.0247) time: 2.9765 data: 0.0060 max mem: 31630 Epoch: [5] [1460/5278] eta: 3:12:58 lr: 4.402239578107348e-05 loss: 0.1579 (0.1708) loss_seg: 0.1562 (0.1691) loss_lansim: 0.1488 (0.1419) loss_contra: 0.0074 (0.0247) time: 2.9736 data: 0.0060 max mem: 31630 Epoch: [5] [1470/5278] eta: 3:12:27 lr: 4.4020233917130425e-05 loss: 0.1579 (0.1707) loss_seg: 0.1562 (0.1690) loss_lansim: 0.1476 (0.1419) loss_contra: 0.0072 (0.0246) time: 2.9751 data: 0.0060 max mem: 31630 Epoch: [5] [1480/5278] eta: 3:11:56 lr: 4.4018072041390564e-05 loss: 0.1566 (0.1706) loss_seg: 0.1552 (0.1689) loss_lansim: 0.1496 (0.1421) loss_contra: 0.0074 (0.0246) time: 2.9801 data: 0.0059 max mem: 31630 Epoch: [5] [1490/5278] eta: 3:11:23 lr: 4.4015910153853195e-05 loss: 0.1553 (0.1704) loss_seg: 0.1537 (0.1688) loss_lansim: 0.1505 (0.1422) loss_contra: 0.0056 (0.0244) time: 2.9699 data: 0.0059 max mem: 31630 Epoch: [5] [1500/5278] eta: 3:10:51 lr: 4.401374825451762e-05 loss: 0.1551 (0.1704) loss_seg: 0.1530 (0.1687) loss_lansim: 0.1510 (0.1422) loss_contra: 0.0060 (0.0243) time: 2.9728 data: 0.0059 max mem: 31630 Epoch: [5] [1510/5278] eta: 3:10:19 lr: 4.401158634338311e-05 loss: 0.1566 (0.1704) loss_seg: 0.1552 (0.1687) loss_lansim: 0.1510 (0.1423) loss_contra: 0.0060 (0.0243) time: 2.9774 data: 0.0061 max mem: 31630 Epoch: [5] [1520/5278] eta: 3:09:48 lr: 4.4009424420448966e-05 loss: 0.1579 (0.1703) loss_seg: 0.1562 (0.1686) loss_lansim: 0.1510 (0.1423) loss_contra: 0.0052 (0.0244) time: 2.9795 data: 0.0061 max mem: 31630 Epoch: [5] [1530/5278] eta: 3:09:15 lr: 4.4007262485714486e-05 loss: 0.1551 (0.1702) loss_seg: 0.1530 (0.1686) loss_lansim: 0.1507 (0.1423) loss_contra: 0.0052 (0.0245) time: 2.9705 data: 0.0061 max mem: 31630 Epoch: [5] [1540/5278] eta: 3:08:43 lr: 4.400510053917895e-05 loss: 0.1517 (0.1702) loss_seg: 0.1499 (0.1685) loss_lansim: 0.1509 (0.1423) loss_contra: 0.0041 (0.0244) time: 2.9663 data: 0.0061 max mem: 31630 Epoch: [5] [1550/5278] eta: 3:08:10 lr: 4.400293858084165e-05 loss: 0.1496 (0.1700) loss_seg: 0.1482 (0.1683) loss_lansim: 0.1484 (0.1422) loss_contra: 0.0039 (0.0244) time: 2.9584 data: 0.0061 max mem: 31630 Epoch: [5] [1560/5278] eta: 3:07:38 lr: 4.400077661070189e-05 loss: 0.1520 (0.1700) loss_seg: 0.1505 (0.1684) loss_lansim: 0.1460 (0.1422) loss_contra: 0.0033 (0.0243) time: 2.9620 data: 0.0061 max mem: 31630 Epoch: [5] [1570/5278] eta: 3:07:06 lr: 4.3998614628758954e-05 loss: 0.1532 (0.1700) loss_seg: 0.1518 (0.1684) loss_lansim: 0.1448 (0.1422) loss_contra: 0.0036 (0.0243) time: 2.9583 data: 0.0061 max mem: 31630 Epoch: [5] [1580/5278] eta: 3:06:35 lr: 4.399645263501213e-05 loss: 0.1517 (0.1699) loss_seg: 0.1499 (0.1682) loss_lansim: 0.1417 (0.1422) loss_contra: 0.0031 (0.0242) time: 2.9536 data: 0.0062 max mem: 31630 Epoch: [5] [1590/5278] eta: 3:06:03 lr: 4.3994290629460716e-05 loss: 0.1532 (0.1698) loss_seg: 0.1518 (0.1682) loss_lansim: 0.1389 (0.1421) loss_contra: 0.0035 (0.0243) time: 2.9593 data: 0.0062 max mem: 31630 Epoch: [5] [1600/5278] eta: 3:05:32 lr: 4.3992128612103994e-05 loss: 0.1532 (0.1697) loss_seg: 0.1518 (0.1680) loss_lansim: 0.1386 (0.1420) loss_contra: 0.0031 (0.0242) time: 2.9633 data: 0.0062 max mem: 31630 Epoch: [5] [1610/5278] eta: 3:05:01 lr: 4.398996658294126e-05 loss: 0.1517 (0.1695) loss_seg: 0.1498 (0.1678) loss_lansim: 0.1369 (0.1420) loss_contra: 0.0032 (0.0242) time: 2.9640 data: 0.0061 max mem: 31630 Epoch: [5] [1620/5278] eta: 3:04:29 lr: 4.39878045419718e-05 loss: 0.1517 (0.1694) loss_seg: 0.1499 (0.1678) loss_lansim: 0.1363 (0.1419) loss_contra: 0.0031 (0.0240) time: 2.9575 data: 0.0061 max mem: 31630 Epoch: [5] [1630/5278] eta: 3:03:57 lr: 4.3985642489194916e-05 loss: 0.1520 (0.1695) loss_seg: 0.1505 (0.1678) loss_lansim: 0.1358 (0.1420) loss_contra: 0.0033 (0.0240) time: 2.9641 data: 0.0061 max mem: 31630 Epoch: [5] [1640/5278] eta: 3:03:26 lr: 4.3983480424609893e-05 loss: 0.1514 (0.1693) loss_seg: 0.1497 (0.1677) loss_lansim: 0.1377 (0.1421) loss_contra: 0.0033 (0.0239) time: 2.9654 data: 0.0061 max mem: 31630 Epoch: [5] [1650/5278] eta: 3:02:53 lr: 4.398131834821602e-05 loss: 0.1514 (0.1693) loss_seg: 0.1497 (0.1676) loss_lansim: 0.1386 (0.1421) loss_contra: 0.0035 (0.0238) time: 2.9614 data: 0.0061 max mem: 31630 Epoch: [5] [1660/5278] eta: 3:02:22 lr: 4.3979156260012586e-05 loss: 0.1508 (0.1692) loss_seg: 0.1491 (0.1675) loss_lansim: 0.1385 (0.1421) loss_contra: 0.0029 (0.0238) time: 2.9653 data: 0.0061 max mem: 31630 Epoch: [5] [1670/5278] eta: 3:01:50 lr: 4.397699415999887e-05 loss: 0.1516 (0.1694) loss_seg: 0.1498 (0.1677) loss_lansim: 0.1387 (0.1421) loss_contra: 0.0028 (0.0238) time: 2.9655 data: 0.0061 max mem: 31630 Epoch: [5] [1680/5278] eta: 3:01:18 lr: 4.397483204817419e-05 loss: 0.1516 (0.1694) loss_seg: 0.1498 (0.1677) loss_lansim: 0.1391 (0.1421) loss_contra: 0.0029 (0.0237) time: 2.9606 data: 0.0060 max mem: 31630 Epoch: [5] [1690/5278] eta: 3:00:47 lr: 4.397266992453782e-05 loss: 0.1515 (0.1694) loss_seg: 0.1498 (0.1677) loss_lansim: 0.1405 (0.1421) loss_contra: 0.0029 (0.0236) time: 2.9621 data: 0.0060 max mem: 31630 Epoch: [5] [1700/5278] eta: 3:00:15 lr: 4.397050778908905e-05 loss: 0.1511 (0.1693) loss_seg: 0.1496 (0.1676) loss_lansim: 0.1417 (0.1421) loss_contra: 0.0031 (0.0235) time: 2.9611 data: 0.0060 max mem: 31630 Epoch: [5] [1710/5278] eta: 2:59:43 lr: 4.3968345641827175e-05 loss: 0.1516 (0.1693) loss_seg: 0.1499 (0.1676) loss_lansim: 0.1426 (0.1421) loss_contra: 0.0029 (0.0234) time: 2.9534 data: 0.0060 max mem: 31630 Epoch: [5] [1720/5278] eta: 2:59:12 lr: 4.3966183482751486e-05 loss: 0.1525 (0.1693) loss_seg: 0.1512 (0.1676) loss_lansim: 0.1431 (0.1421) loss_contra: 0.0022 (0.0234) time: 2.9566 data: 0.0059 max mem: 31630 Epoch: [5] [1730/5278] eta: 2:58:39 lr: 4.396402131186125e-05 loss: 0.1511 (0.1692) loss_seg: 0.1496 (0.1675) loss_lansim: 0.1417 (0.1421) loss_contra: 0.0020 (0.0233) time: 2.9496 data: 0.0059 max mem: 31630 Epoch: [5] [1740/5278] eta: 2:58:07 lr: 4.39618591291558e-05 loss: 0.1526 (0.1692) loss_seg: 0.1513 (0.1676) loss_lansim: 0.1405 (0.1421) loss_contra: 0.0020 (0.0233) time: 2.9460 data: 0.0059 max mem: 31630 Epoch: [5] [1750/5278] eta: 2:57:37 lr: 4.395969693463439e-05 loss: 0.1567 (0.1693) loss_seg: 0.1552 (0.1676) loss_lansim: 0.1402 (0.1421) loss_contra: 0.0018 (0.0232) time: 2.9599 data: 0.0059 max mem: 31630 Epoch: [5] [1760/5278] eta: 2:57:05 lr: 4.3957534728296316e-05 loss: 0.1539 (0.1691) loss_seg: 0.1524 (0.1675) loss_lansim: 0.1407 (0.1421) loss_contra: 0.0020 (0.0231) time: 2.9518 data: 0.0059 max mem: 31630 Epoch: [5] [1770/5278] eta: 2:56:34 lr: 4.395537251014087e-05 loss: 0.1567 (0.1691) loss_seg: 0.1552 (0.1675) loss_lansim: 0.1402 (0.1421) loss_contra: 0.0020 (0.0230) time: 2.9529 data: 0.0059 max mem: 31630 Epoch: [5] [1780/5278] eta: 2:56:03 lr: 4.3953210280167354e-05 loss: 0.1585 (0.1691) loss_seg: 0.1570 (0.1675) loss_lansim: 0.1391 (0.1420) loss_contra: 0.0021 (0.0230) time: 2.9610 data: 0.0059 max mem: 31630 Epoch: [5] [1790/5278] eta: 2:55:32 lr: 4.3951048038375056e-05 loss: 0.1585 (0.1691) loss_seg: 0.1572 (0.1675) loss_lansim: 0.1386 (0.1419) loss_contra: 0.0023 (0.0230) time: 2.9579 data: 0.0059 max mem: 31630 Epoch: [5] [1800/5278] eta: 2:55:00 lr: 4.394888578476324e-05 loss: 0.1585 (0.1690) loss_seg: 0.1570 (0.1674) loss_lansim: 0.1356 (0.1418) loss_contra: 0.0024 (0.0229) time: 2.9569 data: 0.0059 max mem: 31630 Epoch: [5] [1810/5278] eta: 2:54:29 lr: 4.3946723519331214e-05 loss: 0.1534 (0.1688) loss_seg: 0.1516 (0.1671) loss_lansim: 0.1342 (0.1417) loss_contra: 0.0024 (0.0228) time: 2.9579 data: 0.0060 max mem: 31630 Epoch: [5] [1820/5278] eta: 2:53:58 lr: 4.3944561242078275e-05 loss: 0.1534 (0.1688) loss_seg: 0.1516 (0.1671) loss_lansim: 0.1337 (0.1417) loss_contra: 0.0024 (0.0228) time: 2.9599 data: 0.0061 max mem: 31630 Epoch: [5] [1830/5278] eta: 2:53:27 lr: 4.39423989530037e-05 loss: 0.1563 (0.1688) loss_seg: 0.1548 (0.1671) loss_lansim: 0.1325 (0.1416) loss_contra: 0.0025 (0.0227) time: 2.9688 data: 0.0062 max mem: 31630 Epoch: [5] [1840/5278] eta: 2:52:54 lr: 4.3940236652106775e-05 loss: 0.1583 (0.1689) loss_seg: 0.1568 (0.1673) loss_lansim: 0.1309 (0.1415) loss_contra: 0.0023 (0.0226) time: 2.9650 data: 0.0062 max mem: 31630 Epoch: [5] [1850/5278] eta: 2:52:23 lr: 4.393807433938679e-05 loss: 0.1563 (0.1689) loss_seg: 0.1548 (0.1673) loss_lansim: 0.1279 (0.1414) loss_contra: 0.0024 (0.0225) time: 2.9577 data: 0.0062 max mem: 31630 Epoch: [5] [1860/5278] eta: 2:51:51 lr: 4.393591201484305e-05 loss: 0.1557 (0.1688) loss_seg: 0.1544 (0.1671) loss_lansim: 0.1276 (0.1414) loss_contra: 0.0024 (0.0224) time: 2.9569 data: 0.0062 max mem: 31630 Epoch: [5] [1870/5278] eta: 2:51:20 lr: 4.393374967847483e-05 loss: 0.1530 (0.1686) loss_seg: 0.1516 (0.1670) loss_lansim: 0.1266 (0.1413) loss_contra: 0.0023 (0.0224) time: 2.9540 data: 0.0062 max mem: 31630 Epoch: [5] [1880/5278] eta: 2:50:49 lr: 4.393158733028142e-05 loss: 0.1511 (0.1684) loss_seg: 0.1496 (0.1668) loss_lansim: 0.1267 (0.1412) loss_contra: 0.0022 (0.0223) time: 2.9513 data: 0.0062 max mem: 31630 Epoch: [5] [1890/5278] eta: 2:50:17 lr: 4.39294249702621e-05 loss: 0.1511 (0.1684) loss_seg: 0.1496 (0.1668) loss_lansim: 0.1276 (0.1412) loss_contra: 0.0022 (0.0223) time: 2.9515 data: 0.0062 max mem: 31630 Epoch: [5] [1900/5278] eta: 2:49:46 lr: 4.392726259841618e-05 loss: 0.1511 (0.1682) loss_seg: 0.1496 (0.1666) loss_lansim: 0.1304 (0.1412) loss_contra: 0.0022 (0.0222) time: 2.9481 data: 0.0061 max mem: 31630 Epoch: [5] [1910/5278] eta: 2:49:15 lr: 4.392510021474293e-05 loss: 0.1517 (0.1680) loss_seg: 0.1503 (0.1664) loss_lansim: 0.1310 (0.1412) loss_contra: 0.0023 (0.0222) time: 2.9500 data: 0.0060 max mem: 31630 Epoch: [5] [1920/5278] eta: 2:48:42 lr: 4.392293781924165e-05 loss: 0.1517 (0.1679) loss_seg: 0.1503 (0.1663) loss_lansim: 0.1311 (0.1412) loss_contra: 0.0022 (0.0221) time: 2.9419 data: 0.0059 max mem: 31630 Epoch: [5] [1930/5278] eta: 2:48:11 lr: 4.392077541191162e-05 loss: 0.1438 (0.1678) loss_seg: 0.1425 (0.1662) loss_lansim: 0.1312 (0.1412) loss_contra: 0.0024 (0.0222) time: 2.9375 data: 0.0059 max mem: 31630 Epoch: [5] [1940/5278] eta: 2:47:39 lr: 4.391861299275213e-05 loss: 0.1381 (0.1676) loss_seg: 0.1366 (0.1660) loss_lansim: 0.1330 (0.1411) loss_contra: 0.0043 (0.0221) time: 2.9401 data: 0.0059 max mem: 31630 Epoch: [5] [1950/5278] eta: 2:47:07 lr: 4.3916450561762464e-05 loss: 0.1417 (0.1677) loss_seg: 0.1401 (0.1661) loss_lansim: 0.1333 (0.1411) loss_contra: 0.0036 (0.0221) time: 2.9337 data: 0.0059 max mem: 31630 Epoch: [5] [1960/5278] eta: 2:46:37 lr: 4.3914288118941926e-05 loss: 0.1381 (0.1676) loss_seg: 0.1366 (0.1660) loss_lansim: 0.1348 (0.1411) loss_contra: 0.0047 (0.0221) time: 2.9416 data: 0.0060 max mem: 31630 Epoch: [5] [1970/5278] eta: 2:46:06 lr: 4.391212566428979e-05 loss: 0.1399 (0.1675) loss_seg: 0.1388 (0.1659) loss_lansim: 0.1353 (0.1411) loss_contra: 0.0047 (0.0221) time: 2.9446 data: 0.0060 max mem: 31630 Epoch: [5] [1980/5278] eta: 2:45:35 lr: 4.3909963197805344e-05 loss: 0.1417 (0.1674) loss_seg: 0.1403 (0.1657) loss_lansim: 0.1365 (0.1410) loss_contra: 0.0049 (0.0220) time: 2.9427 data: 0.0060 max mem: 31630 Epoch: [5] [1990/5278] eta: 2:45:03 lr: 4.390780071948787e-05 loss: 0.1399 (0.1672) loss_seg: 0.1388 (0.1656) loss_lansim: 0.1350 (0.1409) loss_contra: 0.0053 (0.0220) time: 2.9404 data: 0.0061 max mem: 31630 Epoch: [5] [2000/5278] eta: 2:44:32 lr: 4.390563822933669e-05 loss: 0.1391 (0.1671) loss_seg: 0.1378 (0.1655) loss_lansim: 0.1330 (0.1408) loss_contra: 0.0055 (0.0221) time: 2.9420 data: 0.0061 max mem: 31630 Epoch: [5] [2010/5278] eta: 2:44:02 lr: 4.390347572735104e-05 loss: 0.1399 (0.1669) loss_seg: 0.1388 (0.1653) loss_lansim: 0.1311 (0.1408) loss_contra: 0.0054 (0.0220) time: 2.9445 data: 0.0062 max mem: 31630 Epoch: [5] [2020/5278] eta: 2:43:31 lr: 4.390131321353025e-05 loss: 0.1399 (0.1669) loss_seg: 0.1388 (0.1653) loss_lansim: 0.1282 (0.1406) loss_contra: 0.0054 (0.0220) time: 2.9500 data: 0.0062 max mem: 31630 Epoch: [5] [2030/5278] eta: 2:43:00 lr: 4.389915068787359e-05 loss: 0.1389 (0.1668) loss_seg: 0.1377 (0.1652) loss_lansim: 0.1251 (0.1406) loss_contra: 0.0049 (0.0220) time: 2.9512 data: 0.0061 max mem: 31630 Epoch: [5] [2040/5278] eta: 2:42:30 lr: 4.389698815038034e-05 loss: 0.1399 (0.1669) loss_seg: 0.1388 (0.1653) loss_lansim: 0.1250 (0.1405) loss_contra: 0.0033 (0.0219) time: 2.9627 data: 0.0061 max mem: 31630 Epoch: [5] [2050/5278] eta: 2:41:58 lr: 4.38948256010498e-05 loss: 0.1404 (0.1669) loss_seg: 0.1393 (0.1653) loss_lansim: 0.1258 (0.1405) loss_contra: 0.0032 (0.0218) time: 2.9630 data: 0.0061 max mem: 31630 Epoch: [5] [2060/5278] eta: 2:41:28 lr: 4.389266303988125e-05 loss: 0.1445 (0.1670) loss_seg: 0.1421 (0.1654) loss_lansim: 0.1268 (0.1405) loss_contra: 0.0029 (0.0219) time: 2.9637 data: 0.0060 max mem: 31630 Epoch: [5] [2070/5278] eta: 2:40:56 lr: 4.389050046687399e-05 loss: 0.1447 (0.1669) loss_seg: 0.1432 (0.1653) loss_lansim: 0.1266 (0.1404) loss_contra: 0.0029 (0.0218) time: 2.9589 data: 0.0060 max mem: 31630 Epoch: [5] [2080/5278] eta: 2:40:25 lr: 4.38883378820273e-05 loss: 0.1447 (0.1669) loss_seg: 0.1432 (0.1653) loss_lansim: 0.1268 (0.1404) loss_contra: 0.0027 (0.0220) time: 2.9574 data: 0.0059 max mem: 31630 Epoch: [5] [2090/5278] eta: 2:39:54 lr: 4.388617528534045e-05 loss: 0.1468 (0.1669) loss_seg: 0.1456 (0.1653) loss_lansim: 0.1280 (0.1404) loss_contra: 0.0027 (0.0220) time: 2.9618 data: 0.0060 max mem: 31630 Epoch: [5] [2100/5278] eta: 2:39:23 lr: 4.388401267681275e-05 loss: 0.1457 (0.1668) loss_seg: 0.1446 (0.1652) loss_lansim: 0.1282 (0.1404) loss_contra: 0.0025 (0.0219) time: 2.9598 data: 0.0060 max mem: 31630 Epoch: [5] [2110/5278] eta: 2:38:53 lr: 4.388185005644347e-05 loss: 0.1486 (0.1668) loss_seg: 0.1473 (0.1651) loss_lansim: 0.1291 (0.1403) loss_contra: 0.0026 (0.0219) time: 2.9626 data: 0.0059 max mem: 31630 Epoch: [5] [2120/5278] eta: 2:38:23 lr: 4.387968742423191e-05 loss: 0.1498 (0.1667) loss_seg: 0.1479 (0.1651) loss_lansim: 0.1311 (0.1403) loss_contra: 0.0029 (0.0218) time: 2.9675 data: 0.0059 max mem: 31630 Epoch: [5] [2130/5278] eta: 2:37:52 lr: 4.3877524780177355e-05 loss: 0.1515 (0.1667) loss_seg: 0.1501 (0.1650) loss_lansim: 0.1312 (0.1402) loss_contra: 0.0029 (0.0218) time: 2.9661 data: 0.0059 max mem: 31630 Epoch: [5] [2140/5278] eta: 2:37:21 lr: 4.3875362124279086e-05 loss: 0.1549 (0.1667) loss_seg: 0.1536 (0.1651) loss_lansim: 0.1312 (0.1402) loss_contra: 0.0033 (0.0218) time: 2.9559 data: 0.0059 max mem: 31630 Epoch: [5] [2150/5278] eta: 2:36:50 lr: 4.387319945653638e-05 loss: 0.1549 (0.1667) loss_seg: 0.1536 (0.1651) loss_lansim: 0.1315 (0.1402) loss_contra: 0.0042 (0.0219) time: 2.9626 data: 0.0059 max mem: 31630 Epoch: [5] [2160/5278] eta: 2:36:19 lr: 4.387103677694855e-05 loss: 0.1521 (0.1667) loss_seg: 0.1509 (0.1651) loss_lansim: 0.1327 (0.1402) loss_contra: 0.0042 (0.0219) time: 2.9585 data: 0.0059 max mem: 31630 Epoch: [5] [2170/5278] eta: 2:35:49 lr: 4.3868874085514866e-05 loss: 0.1512 (0.1667) loss_seg: 0.1493 (0.1651) loss_lansim: 0.1338 (0.1401) loss_contra: 0.0047 (0.0218) time: 2.9649 data: 0.0060 max mem: 31630 Epoch: [5] [2180/5278] eta: 2:35:19 lr: 4.386671138223461e-05 loss: 0.1486 (0.1666) loss_seg: 0.1473 (0.1650) loss_lansim: 0.1338 (0.1401) loss_contra: 0.0047 (0.0217) time: 2.9741 data: 0.0060 max mem: 31630 Epoch: [5] [2190/5278] eta: 2:34:48 lr: 4.3864548667107074e-05 loss: 0.1506 (0.1666) loss_seg: 0.1493 (0.1650) loss_lansim: 0.1335 (0.1401) loss_contra: 0.0047 (0.0218) time: 2.9722 data: 0.0060 max mem: 31630 Epoch: [5] [2200/5278] eta: 2:34:18 lr: 4.386238594013154e-05 loss: 0.1512 (0.1665) loss_seg: 0.1493 (0.1649) loss_lansim: 0.1366 (0.1402) loss_contra: 0.0047 (0.0217) time: 2.9793 data: 0.0059 max mem: 31630 Epoch: [5] [2210/5278] eta: 2:33:47 lr: 4.386022320130731e-05 loss: 0.1480 (0.1664) loss_seg: 0.1464 (0.1648) loss_lansim: 0.1377 (0.1402) loss_contra: 0.0051 (0.0217) time: 2.9738 data: 0.0060 max mem: 31630 Epoch: [5] [2220/5278] eta: 2:33:16 lr: 4.385806045063365e-05 loss: 0.1438 (0.1663) loss_seg: 0.1423 (0.1647) loss_lansim: 0.1395 (0.1402) loss_contra: 0.0047 (0.0218) time: 2.9694 data: 0.0059 max mem: 31630 Epoch: [5] [2230/5278] eta: 2:32:46 lr: 4.385589768810985e-05 loss: 0.1435 (0.1662) loss_seg: 0.1421 (0.1646) loss_lansim: 0.1414 (0.1403) loss_contra: 0.0051 (0.0217) time: 2.9740 data: 0.0059 max mem: 31630 Epoch: [5] [2240/5278] eta: 2:32:16 lr: 4.38537349137352e-05 loss: 0.1438 (0.1663) loss_seg: 0.1423 (0.1647) loss_lansim: 0.1417 (0.1403) loss_contra: 0.0047 (0.0217) time: 2.9830 data: 0.0059 max mem: 31630 Epoch: [5] [2250/5278] eta: 2:31:45 lr: 4.385157212750899e-05 loss: 0.1435 (0.1663) loss_seg: 0.1421 (0.1647) loss_lansim: 0.1424 (0.1403) loss_contra: 0.0042 (0.0217) time: 2.9770 data: 0.0059 max mem: 31630 Epoch: [5] [2260/5278] eta: 2:31:15 lr: 4.384940932943049e-05 loss: 0.1436 (0.1663) loss_seg: 0.1421 (0.1647) loss_lansim: 0.1434 (0.1403) loss_contra: 0.0042 (0.0216) time: 2.9824 data: 0.0059 max mem: 31630 Epoch: [5] [2270/5278] eta: 2:30:45 lr: 4.3847246519499e-05 loss: 0.1487 (0.1663) loss_seg: 0.1476 (0.1647) loss_lansim: 0.1440 (0.1404) loss_contra: 0.0039 (0.0215) time: 2.9827 data: 0.0059 max mem: 31630 Epoch: [5] [2280/5278] eta: 2:30:13 lr: 4.384508369771381e-05 loss: 0.1487 (0.1662) loss_seg: 0.1476 (0.1645) loss_lansim: 0.1437 (0.1404) loss_contra: 0.0042 (0.0215) time: 2.9698 data: 0.0059 max mem: 31630 Epoch: [5] [2290/5278] eta: 2:29:43 lr: 4.384292086407419e-05 loss: 0.1480 (0.1661) loss_seg: 0.1464 (0.1645) loss_lansim: 0.1451 (0.1404) loss_contra: 0.0039 (0.0215) time: 2.9749 data: 0.0058 max mem: 31630 Epoch: [5] [2300/5278] eta: 2:29:12 lr: 4.384075801857943e-05 loss: 0.1487 (0.1661) loss_seg: 0.1476 (0.1645) loss_lansim: 0.1443 (0.1404) loss_contra: 0.0044 (0.0215) time: 2.9663 data: 0.0058 max mem: 31630 Epoch: [5] [2310/5278] eta: 2:28:42 lr: 4.3838595161228815e-05 loss: 0.1497 (0.1662) loss_seg: 0.1481 (0.1646) loss_lansim: 0.1443 (0.1404) loss_contra: 0.0042 (0.0215) time: 2.9730 data: 0.0058 max mem: 31630 Epoch: [5] [2320/5278] eta: 2:28:11 lr: 4.383643229202164e-05 loss: 0.1518 (0.1663) loss_seg: 0.1502 (0.1647) loss_lansim: 0.1433 (0.1404) loss_contra: 0.0042 (0.0215) time: 2.9704 data: 0.0058 max mem: 31630 Epoch: [5] [2330/5278] eta: 2:27:41 lr: 4.3834269410957174e-05 loss: 0.1518 (0.1662) loss_seg: 0.1502 (0.1646) loss_lansim: 0.1421 (0.1404) loss_contra: 0.0042 (0.0215) time: 2.9680 data: 0.0058 max mem: 31630 Epoch: [5] [2340/5278] eta: 2:27:10 lr: 4.383210651803472e-05 loss: 0.1495 (0.1662) loss_seg: 0.1478 (0.1646) loss_lansim: 0.1437 (0.1405) loss_contra: 0.0035 (0.0214) time: 2.9640 data: 0.0058 max mem: 31630 Epoch: [5] [2350/5278] eta: 2:26:39 lr: 4.3829943613253544e-05 loss: 0.1487 (0.1661) loss_seg: 0.1471 (0.1645) loss_lansim: 0.1433 (0.1405) loss_contra: 0.0032 (0.0213) time: 2.9682 data: 0.0057 max mem: 31630 Epoch: [5] [2360/5278] eta: 2:26:09 lr: 4.382778069661294e-05 loss: 0.1487 (0.1662) loss_seg: 0.1471 (0.1646) loss_lansim: 0.1433 (0.1405) loss_contra: 0.0032 (0.0213) time: 2.9656 data: 0.0057 max mem: 31630 Epoch: [5] [2370/5278] eta: 2:25:39 lr: 4.38256177681122e-05 loss: 0.1419 (0.1661) loss_seg: 0.1404 (0.1645) loss_lansim: 0.1421 (0.1405) loss_contra: 0.0032 (0.0212) time: 2.9660 data: 0.0057 max mem: 31630 Epoch: [5] [2380/5278] eta: 2:25:08 lr: 4.3823454827750594e-05 loss: 0.1424 (0.1661) loss_seg: 0.1409 (0.1645) loss_lansim: 0.1429 (0.1405) loss_contra: 0.0031 (0.0212) time: 2.9675 data: 0.0057 max mem: 31630 Epoch: [5] [2390/5278] eta: 2:24:37 lr: 4.382129187552741e-05 loss: 0.1414 (0.1660) loss_seg: 0.1398 (0.1644) loss_lansim: 0.1421 (0.1405) loss_contra: 0.0031 (0.0211) time: 2.9627 data: 0.0058 max mem: 31630 Epoch: [5] [2400/5278] eta: 2:24:05 lr: 4.3819128911441934e-05 loss: 0.1432 (0.1660) loss_seg: 0.1417 (0.1644) loss_lansim: 0.1417 (0.1405) loss_contra: 0.0031 (0.0210) time: 2.9557 data: 0.0058 max mem: 31630 Epoch: [5] [2410/5278] eta: 2:23:33 lr: 4.381696593549346e-05 loss: 0.1414 (0.1659) loss_seg: 0.1398 (0.1643) loss_lansim: 0.1409 (0.1405) loss_contra: 0.0030 (0.0210) time: 2.9399 data: 0.0058 max mem: 31630 Epoch: [5] [2420/5278] eta: 2:23:02 lr: 4.381480294768127e-05 loss: 0.1399 (0.1659) loss_seg: 0.1385 (0.1643) loss_lansim: 0.1392 (0.1404) loss_contra: 0.0030 (0.0209) time: 2.9369 data: 0.0059 max mem: 31630 Epoch: [5] [2430/5278] eta: 2:22:30 lr: 4.381263994800463e-05 loss: 0.1451 (0.1660) loss_seg: 0.1439 (0.1644) loss_lansim: 0.1373 (0.1404) loss_contra: 0.0030 (0.0209) time: 2.9235 data: 0.0059 max mem: 31630 Epoch: [5] [2440/5278] eta: 2:21:59 lr: 4.381047693646284e-05 loss: 0.1519 (0.1660) loss_seg: 0.1504 (0.1643) loss_lansim: 0.1365 (0.1403) loss_contra: 0.0031 (0.0209) time: 2.9127 data: 0.0059 max mem: 31630 Epoch: [5] [2450/5278] eta: 2:21:28 lr: 4.380831391305519e-05 loss: 0.1440 (0.1659) loss_seg: 0.1427 (0.1643) loss_lansim: 0.1365 (0.1403) loss_contra: 0.0033 (0.0208) time: 2.9108 data: 0.0059 max mem: 31630 Epoch: [5] [2460/5278] eta: 2:20:56 lr: 4.380615087778094e-05 loss: 0.1440 (0.1658) loss_seg: 0.1427 (0.1642) loss_lansim: 0.1358 (0.1403) loss_contra: 0.0031 (0.0208) time: 2.8980 data: 0.0059 max mem: 31630 Epoch: [5] [2470/5278] eta: 2:20:26 lr: 4.380398783063939e-05 loss: 0.1440 (0.1657) loss_seg: 0.1427 (0.1641) loss_lansim: 0.1358 (0.1403) loss_contra: 0.0031 (0.0207) time: 2.8925 data: 0.0059 max mem: 31630 Epoch: [5] [2480/5278] eta: 2:19:54 lr: 4.380182477162983e-05 loss: 0.1449 (0.1656) loss_seg: 0.1436 (0.1640) loss_lansim: 0.1346 (0.1403) loss_contra: 0.0030 (0.0207) time: 2.8857 data: 0.0059 max mem: 31630 Epoch: [5] [2490/5278] eta: 2:19:23 lr: 4.379966170075153e-05 loss: 0.1451 (0.1657) loss_seg: 0.1439 (0.1641) loss_lansim: 0.1338 (0.1403) loss_contra: 0.0033 (0.0207) time: 2.8830 data: 0.0058 max mem: 31630 Epoch: [5] [2500/5278] eta: 2:18:52 lr: 4.3797498618003786e-05 loss: 0.1443 (0.1657) loss_seg: 0.1427 (0.1641) loss_lansim: 0.1353 (0.1403) loss_contra: 0.0044 (0.0208) time: 2.8861 data: 0.0058 max mem: 31630 Epoch: [5] [2510/5278] eta: 2:18:21 lr: 4.3795335523385866e-05 loss: 0.1443 (0.1656) loss_seg: 0.1427 (0.1640) loss_lansim: 0.1365 (0.1404) loss_contra: 0.0044 (0.0208) time: 2.8936 data: 0.0058 max mem: 31630 Epoch: [5] [2520/5278] eta: 2:17:51 lr: 4.379317241689706e-05 loss: 0.1443 (0.1656) loss_seg: 0.1427 (0.1640) loss_lansim: 0.1372 (0.1404) loss_contra: 0.0046 (0.0209) time: 2.9009 data: 0.0058 max mem: 31630 Epoch: [5] [2530/5278] eta: 2:17:21 lr: 4.3791009298536673e-05 loss: 0.1398 (0.1655) loss_seg: 0.1383 (0.1639) loss_lansim: 0.1382 (0.1404) loss_contra: 0.0045 (0.0209) time: 2.9159 data: 0.0058 max mem: 31630 Epoch: [5] [2540/5278] eta: 2:16:50 lr: 4.378884616830395e-05 loss: 0.1370 (0.1654) loss_seg: 0.1356 (0.1638) loss_lansim: 0.1399 (0.1404) loss_contra: 0.0044 (0.0209) time: 2.9229 data: 0.0058 max mem: 31630 Epoch: [5] [2550/5278] eta: 2:16:20 lr: 4.37866830261982e-05 loss: 0.1361 (0.1653) loss_seg: 0.1331 (0.1637) loss_lansim: 0.1400 (0.1405) loss_contra: 0.0043 (0.0209) time: 2.9301 data: 0.0058 max mem: 31630 Epoch: [5] [2560/5278] eta: 2:15:50 lr: 4.37845198722187e-05 loss: 0.1348 (0.1653) loss_seg: 0.1325 (0.1637) loss_lansim: 0.1406 (0.1405) loss_contra: 0.0043 (0.0209) time: 2.9389 data: 0.0059 max mem: 31630 Epoch: [5] [2570/5278] eta: 2:15:19 lr: 4.378235670636473e-05 loss: 0.1370 (0.1652) loss_seg: 0.1356 (0.1636) loss_lansim: 0.1406 (0.1405) loss_contra: 0.0044 (0.0209) time: 2.9390 data: 0.0060 max mem: 31630 Epoch: [5] [2580/5278] eta: 2:14:49 lr: 4.378019352863558e-05 loss: 0.1387 (0.1652) loss_seg: 0.1364 (0.1636) loss_lansim: 0.1422 (0.1405) loss_contra: 0.0050 (0.0208) time: 2.9506 data: 0.0060 max mem: 31630 Epoch: [5] [2590/5278] eta: 2:14:18 lr: 4.377803033903052e-05 loss: 0.1387 (0.1652) loss_seg: 0.1364 (0.1636) loss_lansim: 0.1422 (0.1405) loss_contra: 0.0050 (0.0208) time: 2.9542 data: 0.0060 max mem: 31630 Epoch: [5] [2600/5278] eta: 2:13:48 lr: 4.3775867137548845e-05 loss: 0.1387 (0.1652) loss_seg: 0.1364 (0.1635) loss_lansim: 0.1411 (0.1405) loss_contra: 0.0041 (0.0208) time: 2.9654 data: 0.0061 max mem: 31630 Epoch: [5] [2610/5278] eta: 2:13:18 lr: 4.3773703924189835e-05 loss: 0.1398 (0.1652) loss_seg: 0.1383 (0.1635) loss_lansim: 0.1411 (0.1405) loss_contra: 0.0041 (0.0208) time: 2.9651 data: 0.0061 max mem: 31630 Epoch: [5] [2620/5278] eta: 2:12:47 lr: 4.3771540698952766e-05 loss: 0.1405 (0.1651) loss_seg: 0.1390 (0.1635) loss_lansim: 0.1411 (0.1405) loss_contra: 0.0033 (0.0207) time: 2.9643 data: 0.0061 max mem: 31630 Epoch: [5] [2630/5278] eta: 2:12:17 lr: 4.3769377461836934e-05 loss: 0.1496 (0.1652) loss_seg: 0.1480 (0.1635) loss_lansim: 0.1403 (0.1405) loss_contra: 0.0033 (0.0208) time: 2.9636 data: 0.0061 max mem: 31630 Epoch: [5] [2640/5278] eta: 2:11:47 lr: 4.376721421284161e-05 loss: 0.1533 (0.1653) loss_seg: 0.1517 (0.1636) loss_lansim: 0.1411 (0.1405) loss_contra: 0.0033 (0.0208) time: 2.9620 data: 0.0061 max mem: 31630 Epoch: [5] [2650/5278] eta: 2:11:17 lr: 4.3765050951966074e-05 loss: 0.1553 (0.1652) loss_seg: 0.1537 (0.1636) loss_lansim: 0.1382 (0.1405) loss_contra: 0.0032 (0.0207) time: 2.9620 data: 0.0061 max mem: 31630 Epoch: [5] [2660/5278] eta: 2:10:46 lr: 4.376288767920962e-05 loss: 0.1501 (0.1652) loss_seg: 0.1486 (0.1636) loss_lansim: 0.1373 (0.1404) loss_contra: 0.0033 (0.0208) time: 2.9639 data: 0.0060 max mem: 31630 Epoch: [5] [2670/5278] eta: 2:10:16 lr: 4.3760724394571516e-05 loss: 0.1500 (0.1652) loss_seg: 0.1485 (0.1635) loss_lansim: 0.1364 (0.1404) loss_contra: 0.0032 (0.0208) time: 2.9663 data: 0.0059 max mem: 31630 Epoch: [5] [2680/5278] eta: 2:09:46 lr: 4.375856109805106e-05 loss: 0.1557 (0.1652) loss_seg: 0.1542 (0.1636) loss_lansim: 0.1363 (0.1404) loss_contra: 0.0034 (0.0208) time: 2.9668 data: 0.0058 max mem: 31630 Epoch: [5] [2690/5278] eta: 2:09:15 lr: 4.375639778964752e-05 loss: 0.1532 (0.1652) loss_seg: 0.1513 (0.1636) loss_lansim: 0.1350 (0.1403) loss_contra: 0.0032 (0.0208) time: 2.9631 data: 0.0058 max mem: 31630 Epoch: [5] [2700/5278] eta: 2:08:45 lr: 4.375423446936019e-05 loss: 0.1532 (0.1651) loss_seg: 0.1513 (0.1635) loss_lansim: 0.1364 (0.1403) loss_contra: 0.0032 (0.0209) time: 2.9639 data: 0.0057 max mem: 31630 Epoch: [5] [2710/5278] eta: 2:08:15 lr: 4.375207113718834e-05 loss: 0.1505 (0.1651) loss_seg: 0.1493 (0.1635) loss_lansim: 0.1348 (0.1403) loss_contra: 0.0031 (0.0209) time: 2.9680 data: 0.0056 max mem: 31630 Epoch: [5] [2720/5278] eta: 2:07:45 lr: 4.374990779313126e-05 loss: 0.1496 (0.1650) loss_seg: 0.1482 (0.1634) loss_lansim: 0.1348 (0.1403) loss_contra: 0.0034 (0.0209) time: 2.9675 data: 0.0056 max mem: 31630 Epoch: [5] [2730/5278] eta: 2:07:15 lr: 4.374774443718823e-05 loss: 0.1501 (0.1650) loss_seg: 0.1486 (0.1634) loss_lansim: 0.1363 (0.1403) loss_contra: 0.0037 (0.0209) time: 2.9686 data: 0.0056 max mem: 31630 Epoch: [5] [2740/5278] eta: 2:06:44 lr: 4.374558106935854e-05 loss: 0.1413 (0.1648) loss_seg: 0.1399 (0.1632) loss_lansim: 0.1348 (0.1403) loss_contra: 0.0035 (0.0209) time: 2.9716 data: 0.0056 max mem: 31630 Epoch: [5] [2750/5278] eta: 2:06:14 lr: 4.3743417689641444e-05 loss: 0.1430 (0.1648) loss_seg: 0.1410 (0.1632) loss_lansim: 0.1380 (0.1404) loss_contra: 0.0034 (0.0209) time: 2.9669 data: 0.0056 max mem: 31630 Epoch: [5] [2760/5278] eta: 2:05:44 lr: 4.3741254298036256e-05 loss: 0.1452 (0.1648) loss_seg: 0.1438 (0.1632) loss_lansim: 0.1382 (0.1403) loss_contra: 0.0033 (0.0208) time: 2.9687 data: 0.0055 max mem: 31630 Epoch: [5] [2770/5278] eta: 2:05:14 lr: 4.3739090894542235e-05 loss: 0.1519 (0.1648) loss_seg: 0.1502 (0.1631) loss_lansim: 0.1385 (0.1403) loss_contra: 0.0029 (0.0208) time: 2.9677 data: 0.0055 max mem: 31630 Epoch: [5] [2780/5278] eta: 2:04:43 lr: 4.3736927479158676e-05 loss: 0.1483 (0.1648) loss_seg: 0.1467 (0.1632) loss_lansim: 0.1386 (0.1404) loss_contra: 0.0029 (0.0208) time: 2.9640 data: 0.0055 max mem: 31630 Epoch: [5] [2790/5278] eta: 2:04:13 lr: 4.373476405188485e-05 loss: 0.1484 (0.1647) loss_seg: 0.1467 (0.1631) loss_lansim: 0.1387 (0.1403) loss_contra: 0.0029 (0.0208) time: 2.9708 data: 0.0054 max mem: 31630 Epoch: [5] [2800/5278] eta: 2:03:43 lr: 4.373260061272005e-05 loss: 0.1483 (0.1646) loss_seg: 0.1464 (0.1630) loss_lansim: 0.1387 (0.1404) loss_contra: 0.0029 (0.0210) time: 2.9693 data: 0.0054 max mem: 31630 Epoch: [5] [2810/5278] eta: 2:03:13 lr: 4.373043716166354e-05 loss: 0.1430 (0.1645) loss_seg: 0.1414 (0.1629) loss_lansim: 0.1419 (0.1404) loss_contra: 0.0026 (0.0209) time: 2.9677 data: 0.0054 max mem: 31630 Epoch: [5] [2820/5278] eta: 2:02:43 lr: 4.372827369871462e-05 loss: 0.1438 (0.1644) loss_seg: 0.1417 (0.1628) loss_lansim: 0.1433 (0.1404) loss_contra: 0.0026 (0.0209) time: 2.9696 data: 0.0054 max mem: 31630 Epoch: [5] [2830/5278] eta: 2:02:12 lr: 4.372611022387255e-05 loss: 0.1408 (0.1644) loss_seg: 0.1393 (0.1628) loss_lansim: 0.1410 (0.1404) loss_contra: 0.0026 (0.0209) time: 2.9643 data: 0.0054 max mem: 31630 Epoch: [5] [2840/5278] eta: 2:01:42 lr: 4.372394673713664e-05 loss: 0.1427 (0.1644) loss_seg: 0.1409 (0.1628) loss_lansim: 0.1390 (0.1403) loss_contra: 0.0029 (0.0210) time: 2.9665 data: 0.0053 max mem: 31630 Epoch: [5] [2850/5278] eta: 2:01:12 lr: 4.372178323850614e-05 loss: 0.1438 (0.1645) loss_seg: 0.1414 (0.1629) loss_lansim: 0.1387 (0.1403) loss_contra: 0.0025 (0.0209) time: 2.9671 data: 0.0053 max mem: 31630 Epoch: [5] [2860/5278] eta: 2:00:41 lr: 4.371961972798035e-05 loss: 0.1438 (0.1645) loss_seg: 0.1414 (0.1629) loss_lansim: 0.1390 (0.1403) loss_contra: 0.0041 (0.0210) time: 2.9621 data: 0.0053 max mem: 31630 Epoch: [5] [2870/5278] eta: 2:00:12 lr: 4.371745620555854e-05 loss: 0.1440 (0.1644) loss_seg: 0.1423 (0.1628) loss_lansim: 0.1390 (0.1403) loss_contra: 0.0041 (0.0209) time: 2.9683 data: 0.0053 max mem: 31630 Epoch: [5] [2880/5278] eta: 1:59:41 lr: 4.3715292671239997e-05 loss: 0.1438 (0.1645) loss_seg: 0.1414 (0.1629) loss_lansim: 0.1386 (0.1403) loss_contra: 0.0035 (0.0209) time: 2.9695 data: 0.0053 max mem: 31630 Epoch: [5] [2890/5278] eta: 1:59:11 lr: 4.3713129125024e-05 loss: 0.1440 (0.1646) loss_seg: 0.1423 (0.1630) loss_lansim: 0.1362 (0.1403) loss_contra: 0.0030 (0.0208) time: 2.9685 data: 0.0053 max mem: 31630 Epoch: [5] [2900/5278] eta: 1:58:41 lr: 4.371096556690982e-05 loss: 0.1440 (0.1645) loss_seg: 0.1423 (0.1629) loss_lansim: 0.1356 (0.1402) loss_contra: 0.0025 (0.0208) time: 2.9684 data: 0.0054 max mem: 31630 Epoch: [5] [2910/5278] eta: 1:58:11 lr: 4.370880199689675e-05 loss: 0.1450 (0.1645) loss_seg: 0.1434 (0.1629) loss_lansim: 0.1335 (0.1402) loss_contra: 0.0025 (0.0207) time: 2.9670 data: 0.0055 max mem: 31630 Epoch: [5] [2920/5278] eta: 1:57:41 lr: 4.370663841498408e-05 loss: 0.1458 (0.1644) loss_seg: 0.1442 (0.1628) loss_lansim: 0.1331 (0.1402) loss_contra: 0.0026 (0.0208) time: 2.9639 data: 0.0055 max mem: 31630 Epoch: [5] [2930/5278] eta: 1:57:10 lr: 4.3704474821171056e-05 loss: 0.1458 (0.1644) loss_seg: 0.1442 (0.1628) loss_lansim: 0.1332 (0.1402) loss_contra: 0.0026 (0.0207) time: 2.9613 data: 0.0055 max mem: 31630 Epoch: [5] [2940/5278] eta: 1:56:40 lr: 4.3702311215456986e-05 loss: 0.1462 (0.1643) loss_seg: 0.1448 (0.1627) loss_lansim: 0.1331 (0.1401) loss_contra: 0.0029 (0.0207) time: 2.9644 data: 0.0055 max mem: 31630 Epoch: [5] [2950/5278] eta: 1:56:10 lr: 4.370014759784115e-05 loss: 0.1458 (0.1642) loss_seg: 0.1442 (0.1626) loss_lansim: 0.1314 (0.1401) loss_contra: 0.0034 (0.0207) time: 2.9674 data: 0.0055 max mem: 31630 Epoch: [5] [2960/5278] eta: 1:55:40 lr: 4.369798396832281e-05 loss: 0.1500 (0.1642) loss_seg: 0.1488 (0.1626) loss_lansim: 0.1315 (0.1401) loss_contra: 0.0026 (0.0207) time: 2.9671 data: 0.0055 max mem: 31630 Epoch: [5] [2970/5278] eta: 1:55:10 lr: 4.369582032690125e-05 loss: 0.1450 (0.1641) loss_seg: 0.1434 (0.1625) loss_lansim: 0.1317 (0.1401) loss_contra: 0.0029 (0.0207) time: 2.9627 data: 0.0055 max mem: 31630 Epoch: [5] [2980/5278] eta: 1:54:40 lr: 4.369365667357576e-05 loss: 0.1423 (0.1642) loss_seg: 0.1410 (0.1625) loss_lansim: 0.1315 (0.1400) loss_contra: 0.0040 (0.0207) time: 2.9667 data: 0.0055 max mem: 31630 Epoch: [5] [2990/5278] eta: 1:54:10 lr: 4.369149300834561e-05 loss: 0.1460 (0.1642) loss_seg: 0.1443 (0.1626) loss_lansim: 0.1315 (0.1400) loss_contra: 0.0040 (0.0207) time: 2.9663 data: 0.0054 max mem: 31630 Epoch: [5] [3000/5278] eta: 1:53:39 lr: 4.36893293312101e-05 loss: 0.1500 (0.1642) loss_seg: 0.1483 (0.1626) loss_lansim: 0.1317 (0.1400) loss_contra: 0.0034 (0.0207) time: 2.9614 data: 0.0054 max mem: 31630 Epoch: [5] [3010/5278] eta: 1:53:09 lr: 4.3687165642168476e-05 loss: 0.1497 (0.1643) loss_seg: 0.1480 (0.1627) loss_lansim: 0.1317 (0.1399) loss_contra: 0.0038 (0.0207) time: 2.9658 data: 0.0053 max mem: 31630 Epoch: [5] [3020/5278] eta: 1:52:39 lr: 4.368500194122004e-05 loss: 0.1500 (0.1642) loss_seg: 0.1483 (0.1626) loss_lansim: 0.1291 (0.1399) loss_contra: 0.0038 (0.0207) time: 2.9670 data: 0.0054 max mem: 31630 Epoch: [5] [3030/5278] eta: 1:52:09 lr: 4.368283822836407e-05 loss: 0.1500 (0.1642) loss_seg: 0.1483 (0.1626) loss_lansim: 0.1291 (0.1398) loss_contra: 0.0033 (0.0206) time: 2.9699 data: 0.0053 max mem: 31630 Epoch: [5] [3040/5278] eta: 1:51:39 lr: 4.368067450359983e-05 loss: 0.1514 (0.1642) loss_seg: 0.1496 (0.1626) loss_lansim: 0.1287 (0.1398) loss_contra: 0.0031 (0.0206) time: 2.9680 data: 0.0054 max mem: 31630 Epoch: [5] [3050/5278] eta: 1:51:09 lr: 4.3678510766926615e-05 loss: 0.1501 (0.1641) loss_seg: 0.1485 (0.1625) loss_lansim: 0.1283 (0.1397) loss_contra: 0.0032 (0.0205) time: 2.9686 data: 0.0053 max mem: 31630 Epoch: [5] [3060/5278] eta: 1:50:38 lr: 4.367634701834371e-05 loss: 0.1497 (0.1641) loss_seg: 0.1480 (0.1625) loss_lansim: 0.1283 (0.1397) loss_contra: 0.0031 (0.0205) time: 2.9684 data: 0.0053 max mem: 31630 Epoch: [5] [3070/5278] eta: 1:50:08 lr: 4.3674183257850364e-05 loss: 0.1501 (0.1640) loss_seg: 0.1483 (0.1624) loss_lansim: 0.1276 (0.1396) loss_contra: 0.0024 (0.0205) time: 2.9686 data: 0.0053 max mem: 31630 Epoch: [5] [3080/5278] eta: 1:49:38 lr: 4.367201948544589e-05 loss: 0.1515 (0.1641) loss_seg: 0.1504 (0.1625) loss_lansim: 0.1281 (0.1396) loss_contra: 0.0024 (0.0204) time: 2.9669 data: 0.0053 max mem: 31630 Epoch: [5] [3090/5278] eta: 1:49:08 lr: 4.3669855701129534e-05 loss: 0.1515 (0.1641) loss_seg: 0.1504 (0.1625) loss_lansim: 0.1279 (0.1396) loss_contra: 0.0022 (0.0204) time: 2.9589 data: 0.0053 max mem: 31630 Epoch: [5] [3100/5278] eta: 1:48:38 lr: 4.36676919049006e-05 loss: 0.1515 (0.1641) loss_seg: 0.1504 (0.1625) loss_lansim: 0.1276 (0.1396) loss_contra: 0.0022 (0.0203) time: 2.9642 data: 0.0053 max mem: 31630 Epoch: [5] [3110/5278] eta: 1:48:08 lr: 4.366552809675836e-05 loss: 0.1495 (0.1641) loss_seg: 0.1482 (0.1625) loss_lansim: 0.1281 (0.1395) loss_contra: 0.0024 (0.0203) time: 2.9600 data: 0.0052 max mem: 31630 Epoch: [5] [3120/5278] eta: 1:47:38 lr: 4.366336427670209e-05 loss: 0.1475 (0.1640) loss_seg: 0.1462 (0.1624) loss_lansim: 0.1283 (0.1395) loss_contra: 0.0026 (0.0205) time: 2.9627 data: 0.0052 max mem: 31630 Epoch: [5] [3130/5278] eta: 1:47:08 lr: 4.366120044473108e-05 loss: 0.1475 (0.1640) loss_seg: 0.1462 (0.1624) loss_lansim: 0.1284 (0.1395) loss_contra: 0.0033 (0.0205) time: 2.9661 data: 0.0052 max mem: 31630 Epoch: [5] [3140/5278] eta: 1:46:37 lr: 4.365903660084458e-05 loss: 0.1454 (0.1641) loss_seg: 0.1442 (0.1625) loss_lansim: 0.1291 (0.1395) loss_contra: 0.0038 (0.0207) time: 2.9632 data: 0.0052 max mem: 31630 Epoch: [5] [3150/5278] eta: 1:46:08 lr: 4.365687274504189e-05 loss: 0.1503 (0.1642) loss_seg: 0.1490 (0.1626) loss_lansim: 0.1302 (0.1394) loss_contra: 0.0043 (0.0207) time: 2.9632 data: 0.0052 max mem: 31630 Epoch: [5] [3160/5278] eta: 1:45:37 lr: 4.3654708877322286e-05 loss: 0.1515 (0.1642) loss_seg: 0.1501 (0.1626) loss_lansim: 0.1306 (0.1395) loss_contra: 0.0044 (0.0207) time: 2.9615 data: 0.0052 max mem: 31630 Epoch: [5] [3170/5278] eta: 1:45:07 lr: 4.3652544997685044e-05 loss: 0.1557 (0.1642) loss_seg: 0.1544 (0.1626) loss_lansim: 0.1311 (0.1395) loss_contra: 0.0044 (0.0207) time: 2.9638 data: 0.0052 max mem: 31630 Epoch: [5] [3180/5278] eta: 1:44:37 lr: 4.365038110612944e-05 loss: 0.1557 (0.1642) loss_seg: 0.1544 (0.1626) loss_lansim: 0.1311 (0.1395) loss_contra: 0.0055 (0.0207) time: 2.9630 data: 0.0052 max mem: 31630 Epoch: [5] [3190/5278] eta: 1:44:07 lr: 4.3648217202654753e-05 loss: 0.1557 (0.1642) loss_seg: 0.1544 (0.1626) loss_lansim: 0.1329 (0.1395) loss_contra: 0.0069 (0.0207) time: 2.9675 data: 0.0053 max mem: 31630 Epoch: [5] [3200/5278] eta: 1:43:37 lr: 4.364605328726026e-05 loss: 0.1602 (0.1643) loss_seg: 0.1588 (0.1627) loss_lansim: 0.1338 (0.1395) loss_contra: 0.0069 (0.0206) time: 2.9627 data: 0.0053 max mem: 31630 Epoch: [5] [3210/5278] eta: 1:43:06 lr: 4.364388935994524e-05 loss: 0.1648 (0.1642) loss_seg: 0.1633 (0.1626) loss_lansim: 0.1347 (0.1395) loss_contra: 0.0069 (0.0207) time: 2.9652 data: 0.0053 max mem: 31630 Epoch: [5] [3220/5278] eta: 1:42:36 lr: 4.364172542070898e-05 loss: 0.1690 (0.1643) loss_seg: 0.1674 (0.1627) loss_lansim: 0.1392 (0.1395) loss_contra: 0.0055 (0.0206) time: 2.9642 data: 0.0053 max mem: 31630 Epoch: [5] [3230/5278] eta: 1:42:06 lr: 4.363956146955074e-05 loss: 0.1641 (0.1642) loss_seg: 0.1623 (0.1626) loss_lansim: 0.1387 (0.1395) loss_contra: 0.0044 (0.0206) time: 2.9602 data: 0.0053 max mem: 31630 Epoch: [5] [3240/5278] eta: 1:41:36 lr: 4.363739750646981e-05 loss: 0.1582 (0.1641) loss_seg: 0.1569 (0.1625) loss_lansim: 0.1382 (0.1394) loss_contra: 0.0035 (0.0206) time: 2.9580 data: 0.0053 max mem: 31630 Epoch: [5] [3250/5278] eta: 1:41:06 lr: 4.363523353146545e-05 loss: 0.1507 (0.1641) loss_seg: 0.1491 (0.1625) loss_lansim: 0.1386 (0.1395) loss_contra: 0.0032 (0.0205) time: 2.9506 data: 0.0053 max mem: 31630 Epoch: [5] [3260/5278] eta: 1:40:35 lr: 4.3633069544536966e-05 loss: 0.1504 (0.1640) loss_seg: 0.1488 (0.1624) loss_lansim: 0.1382 (0.1395) loss_contra: 0.0030 (0.0205) time: 2.9502 data: 0.0054 max mem: 31630 Epoch: [5] [3270/5278] eta: 1:40:05 lr: 4.363090554568361e-05 loss: 0.1504 (0.1640) loss_seg: 0.1490 (0.1624) loss_lansim: 0.1382 (0.1395) loss_contra: 0.0030 (0.0205) time: 2.9424 data: 0.0054 max mem: 31630 Epoch: [5] [3280/5278] eta: 1:39:35 lr: 4.362874153490467e-05 loss: 0.1475 (0.1640) loss_seg: 0.1460 (0.1624) loss_lansim: 0.1392 (0.1395) loss_contra: 0.0028 (0.0205) time: 2.9388 data: 0.0054 max mem: 31630 Epoch: [5] [3290/5278] eta: 1:39:04 lr: 4.3626577512199424e-05 loss: 0.1388 (0.1639) loss_seg: 0.1375 (0.1623) loss_lansim: 0.1386 (0.1395) loss_contra: 0.0025 (0.0205) time: 2.9326 data: 0.0055 max mem: 31630 Epoch: [5] [3300/5278] eta: 1:38:34 lr: 4.362441347756714e-05 loss: 0.1373 (0.1638) loss_seg: 0.1358 (0.1622) loss_lansim: 0.1372 (0.1394) loss_contra: 0.0025 (0.0204) time: 2.9332 data: 0.0055 max mem: 31630 Epoch: [5] [3310/5278] eta: 1:38:04 lr: 4.362224943100711e-05 loss: 0.1373 (0.1638) loss_seg: 0.1358 (0.1622) loss_lansim: 0.1372 (0.1395) loss_contra: 0.0026 (0.0204) time: 2.9331 data: 0.0056 max mem: 31630 Epoch: [5] [3320/5278] eta: 1:37:33 lr: 4.36200853725186e-05 loss: 0.1373 (0.1639) loss_seg: 0.1358 (0.1623) loss_lansim: 0.1365 (0.1395) loss_contra: 0.0026 (0.0204) time: 2.9243 data: 0.0057 max mem: 31630 Epoch: [5] [3330/5278] eta: 1:37:03 lr: 4.3617921302100886e-05 loss: 0.1388 (0.1638) loss_seg: 0.1375 (0.1622) loss_lansim: 0.1372 (0.1395) loss_contra: 0.0028 (0.0204) time: 2.9215 data: 0.0057 max mem: 31630 Epoch: [5] [3340/5278] eta: 1:36:33 lr: 4.361575721975325e-05 loss: 0.1379 (0.1637) loss_seg: 0.1367 (0.1621) loss_lansim: 0.1370 (0.1394) loss_contra: 0.0030 (0.0204) time: 2.9236 data: 0.0058 max mem: 31630 Epoch: [5] [3350/5278] eta: 1:36:03 lr: 4.361359312547497e-05 loss: 0.1388 (0.1637) loss_seg: 0.1374 (0.1621) loss_lansim: 0.1370 (0.1394) loss_contra: 0.0028 (0.0204) time: 2.9222 data: 0.0058 max mem: 31630 Epoch: [5] [3360/5278] eta: 1:35:33 lr: 4.361142901926531e-05 loss: 0.1373 (0.1636) loss_seg: 0.1358 (0.1620) loss_lansim: 0.1358 (0.1394) loss_contra: 0.0028 (0.0205) time: 2.9296 data: 0.0058 max mem: 31630 Epoch: [5] [3370/5278] eta: 1:35:03 lr: 4.360926490112356e-05 loss: 0.1343 (0.1636) loss_seg: 0.1328 (0.1620) loss_lansim: 0.1345 (0.1394) loss_contra: 0.0028 (0.0205) time: 2.9351 data: 0.0059 max mem: 31630 Epoch: [5] [3380/5278] eta: 1:34:33 lr: 4.3607100771048994e-05 loss: 0.1323 (0.1635) loss_seg: 0.1306 (0.1619) loss_lansim: 0.1338 (0.1394) loss_contra: 0.0027 (0.0204) time: 2.9401 data: 0.0059 max mem: 31630 Epoch: [5] [3390/5278] eta: 1:34:03 lr: 4.360493662904088e-05 loss: 0.1323 (0.1635) loss_seg: 0.1306 (0.1619) loss_lansim: 0.1338 (0.1394) loss_contra: 0.0027 (0.0204) time: 2.9465 data: 0.0059 max mem: 31630 Epoch: [5] [3400/5278] eta: 1:33:33 lr: 4.3602772475098495e-05 loss: 0.1440 (0.1636) loss_seg: 0.1426 (0.1620) loss_lansim: 0.1357 (0.1394) loss_contra: 0.0027 (0.0204) time: 2.9520 data: 0.0060 max mem: 31630 Epoch: [5] [3410/5278] eta: 1:33:03 lr: 4.3600608309221127e-05 loss: 0.1420 (0.1635) loss_seg: 0.1405 (0.1619) loss_lansim: 0.1359 (0.1394) loss_contra: 0.0022 (0.0204) time: 2.9499 data: 0.0059 max mem: 31630 Epoch: [5] [3420/5278] eta: 1:32:32 lr: 4.359844413140804e-05 loss: 0.1384 (0.1635) loss_seg: 0.1367 (0.1619) loss_lansim: 0.1370 (0.1394) loss_contra: 0.0027 (0.0204) time: 2.9543 data: 0.0059 max mem: 31630 Epoch: [5] [3430/5278] eta: 1:32:03 lr: 4.359627994165851e-05 loss: 0.1394 (0.1636) loss_seg: 0.1374 (0.1620) loss_lansim: 0.1385 (0.1394) loss_contra: 0.0033 (0.0207) time: 2.9614 data: 0.0059 max mem: 31630 Epoch: [5] [3440/5278] eta: 1:31:32 lr: 4.359411573997182e-05 loss: 0.1394 (0.1635) loss_seg: 0.1370 (0.1619) loss_lansim: 0.1393 (0.1394) loss_contra: 0.0037 (0.0207) time: 2.9600 data: 0.0059 max mem: 31630 Epoch: [5] [3450/5278] eta: 1:31:02 lr: 4.359195152634726e-05 loss: 0.1384 (0.1635) loss_seg: 0.1361 (0.1619) loss_lansim: 0.1385 (0.1394) loss_contra: 0.0043 (0.0208) time: 2.9633 data: 0.0059 max mem: 31630 Epoch: [5] [3460/5278] eta: 1:30:32 lr: 4.358978730078407e-05 loss: 0.1420 (0.1634) loss_seg: 0.1402 (0.1618) loss_lansim: 0.1389 (0.1394) loss_contra: 0.0043 (0.0209) time: 2.9633 data: 0.0059 max mem: 31630 Epoch: [5] [3470/5278] eta: 1:30:03 lr: 4.3587623063281546e-05 loss: 0.1445 (0.1635) loss_seg: 0.1432 (0.1619) loss_lansim: 0.1400 (0.1394) loss_contra: 0.0043 (0.0208) time: 2.9706 data: 0.0059 max mem: 31630 Epoch: [5] [3480/5278] eta: 1:29:33 lr: 4.358545881383896e-05 loss: 0.1445 (0.1634) loss_seg: 0.1432 (0.1618) loss_lansim: 0.1411 (0.1395) loss_contra: 0.0056 (0.0209) time: 2.9669 data: 0.0059 max mem: 31630 Epoch: [5] [3490/5278] eta: 1:29:03 lr: 4.358329455245559e-05 loss: 0.1448 (0.1634) loss_seg: 0.1432 (0.1618) loss_lansim: 0.1427 (0.1396) loss_contra: 0.0063 (0.0209) time: 2.9670 data: 0.0058 max mem: 31630 Epoch: [5] [3500/5278] eta: 1:28:33 lr: 4.358113027913072e-05 loss: 0.1442 (0.1633) loss_seg: 0.1417 (0.1617) loss_lansim: 0.1436 (0.1396) loss_contra: 0.0091 (0.0210) time: 2.9669 data: 0.0058 max mem: 31630 Epoch: [5] [3510/5278] eta: 1:28:03 lr: 4.35789659938636e-05 loss: 0.1445 (0.1634) loss_seg: 0.1428 (0.1618) loss_lansim: 0.1436 (0.1396) loss_contra: 0.0103 (0.0211) time: 2.9726 data: 0.0058 max mem: 31630 Epoch: [5] [3520/5278] eta: 1:27:33 lr: 4.357680169665353e-05 loss: 0.1445 (0.1633) loss_seg: 0.1428 (0.1617) loss_lansim: 0.1417 (0.1396) loss_contra: 0.0097 (0.0211) time: 2.9755 data: 0.0058 max mem: 31630 Epoch: [5] [3530/5278] eta: 1:27:03 lr: 4.3574637387499775e-05 loss: 0.1445 (0.1633) loss_seg: 0.1428 (0.1617) loss_lansim: 0.1417 (0.1396) loss_contra: 0.0103 (0.0212) time: 2.9704 data: 0.0059 max mem: 31630 Epoch: [5] [3540/5278] eta: 1:26:33 lr: 4.3572473066401606e-05 loss: 0.1477 (0.1632) loss_seg: 0.1455 (0.1616) loss_lansim: 0.1417 (0.1396) loss_contra: 0.0096 (0.0212) time: 2.9714 data: 0.0058 max mem: 31630 Epoch: [5] [3550/5278] eta: 1:26:03 lr: 4.35703087333583e-05 loss: 0.1477 (0.1632) loss_seg: 0.1455 (0.1616) loss_lansim: 0.1412 (0.1396) loss_contra: 0.0096 (0.0212) time: 2.9731 data: 0.0058 max mem: 31630 Epoch: [5] [3560/5278] eta: 1:25:33 lr: 4.3568144388369134e-05 loss: 0.1471 (0.1632) loss_seg: 0.1454 (0.1616) loss_lansim: 0.1398 (0.1396) loss_contra: 0.0087 (0.0212) time: 2.9724 data: 0.0059 max mem: 31630 Epoch: [5] [3570/5278] eta: 1:25:03 lr: 4.356598003143339e-05 loss: 0.1388 (0.1631) loss_seg: 0.1366 (0.1615) loss_lansim: 0.1381 (0.1395) loss_contra: 0.0123 (0.0213) time: 2.9680 data: 0.0059 max mem: 31630 Epoch: [5] [3580/5278] eta: 1:24:33 lr: 4.356381566255033e-05 loss: 0.1376 (0.1630) loss_seg: 0.1360 (0.1614) loss_lansim: 0.1354 (0.1394) loss_contra: 0.0101 (0.0214) time: 2.9768 data: 0.0059 max mem: 31630 Epoch: [5] [3590/5278] eta: 1:24:03 lr: 4.356165128171923e-05 loss: 0.1336 (0.1629) loss_seg: 0.1320 (0.1613) loss_lansim: 0.1312 (0.1393) loss_contra: 0.0101 (0.0214) time: 2.9744 data: 0.0060 max mem: 31630 Epoch: [5] [3600/5278] eta: 1:23:33 lr: 4.355948688893937e-05 loss: 0.1388 (0.1629) loss_seg: 0.1371 (0.1613) loss_lansim: 0.1285 (0.1393) loss_contra: 0.0101 (0.0214) time: 2.9700 data: 0.0061 max mem: 31630 Epoch: [5] [3610/5278] eta: 1:23:03 lr: 4.355732248421002e-05 loss: 0.1326 (0.1628) loss_seg: 0.1311 (0.1612) loss_lansim: 0.1231 (0.1392) loss_contra: 0.0101 (0.0214) time: 2.9691 data: 0.0062 max mem: 31630 Epoch: [5] [3620/5278] eta: 1:22:33 lr: 4.3555158067530465e-05 loss: 0.1376 (0.1628) loss_seg: 0.1360 (0.1612) loss_lansim: 0.1221 (0.1391) loss_contra: 0.0073 (0.0214) time: 2.9670 data: 0.0062 max mem: 31630 Epoch: [5] [3630/5278] eta: 1:22:03 lr: 4.3552993638899966e-05 loss: 0.1326 (0.1627) loss_seg: 0.1311 (0.1611) loss_lansim: 0.1159 (0.1390) loss_contra: 0.0066 (0.0215) time: 2.9699 data: 0.0062 max mem: 31630 Epoch: [5] [3640/5278] eta: 1:21:33 lr: 4.3550829198317805e-05 loss: 0.1388 (0.1628) loss_seg: 0.1371 (0.1612) loss_lansim: 0.1116 (0.1389) loss_contra: 0.0066 (0.0215) time: 2.9745 data: 0.0063 max mem: 31630 Epoch: [5] [3650/5278] eta: 1:21:03 lr: 4.3548664745783244e-05 loss: 0.1388 (0.1628) loss_seg: 0.1377 (0.1612) loss_lansim: 0.1080 (0.1388) loss_contra: 0.0054 (0.0215) time: 2.9755 data: 0.0062 max mem: 31630 Epoch: [5] [3660/5278] eta: 1:20:33 lr: 4.3546500281295577e-05 loss: 0.1405 (0.1627) loss_seg: 0.1389 (0.1611) loss_lansim: 0.1053 (0.1387) loss_contra: 0.0046 (0.0216) time: 2.9735 data: 0.0061 max mem: 31630 Epoch: [5] [3670/5278] eta: 1:20:03 lr: 4.3544335804854066e-05 loss: 0.1412 (0.1626) loss_seg: 0.1400 (0.1610) loss_lansim: 0.1059 (0.1386) loss_contra: 0.0053 (0.0217) time: 2.9731 data: 0.0061 max mem: 31630 Epoch: [5] [3680/5278] eta: 1:19:34 lr: 4.354217131645797e-05 loss: 0.1420 (0.1626) loss_seg: 0.1408 (0.1610) loss_lansim: 0.1053 (0.1386) loss_contra: 0.0046 (0.0217) time: 2.9704 data: 0.0061 max mem: 31630 Epoch: [5] [3690/5278] eta: 1:19:04 lr: 4.354000681610659e-05 loss: 0.1421 (0.1626) loss_seg: 0.1410 (0.1610) loss_lansim: 0.1060 (0.1385) loss_contra: 0.0048 (0.0217) time: 2.9757 data: 0.0061 max mem: 31630 Epoch: [5] [3700/5278] eta: 1:18:34 lr: 4.3537842303799185e-05 loss: 0.1405 (0.1625) loss_seg: 0.1389 (0.1609) loss_lansim: 0.1059 (0.1384) loss_contra: 0.0056 (0.0217) time: 2.9736 data: 0.0059 max mem: 31630 Epoch: [5] [3710/5278] eta: 1:18:04 lr: 4.353567777953504e-05 loss: 0.1431 (0.1624) loss_seg: 0.1420 (0.1608) loss_lansim: 0.1043 (0.1383) loss_contra: 0.0052 (0.0217) time: 2.9754 data: 0.0059 max mem: 31630 Epoch: [5] [3720/5278] eta: 1:17:34 lr: 4.3533513243313414e-05 loss: 0.1419 (0.1624) loss_seg: 0.1406 (0.1608) loss_lansim: 0.1038 (0.1382) loss_contra: 0.0064 (0.0218) time: 2.9778 data: 0.0058 max mem: 31630 Epoch: [5] [3730/5278] eta: 1:17:04 lr: 4.353134869513358e-05 loss: 0.1436 (0.1623) loss_seg: 0.1427 (0.1607) loss_lansim: 0.1043 (0.1381) loss_contra: 0.0064 (0.0218) time: 2.9808 data: 0.0059 max mem: 31630 Epoch: [5] [3740/5278] eta: 1:16:34 lr: 4.352918413499482e-05 loss: 0.1391 (0.1623) loss_seg: 0.1378 (0.1607) loss_lansim: 0.1052 (0.1380) loss_contra: 0.0065 (0.0218) time: 2.9727 data: 0.0059 max mem: 31630 Epoch: [5] [3750/5278] eta: 1:16:04 lr: 4.3527019562896406e-05 loss: 0.1391 (0.1623) loss_seg: 0.1378 (0.1607) loss_lansim: 0.1038 (0.1379) loss_contra: 0.0071 (0.0218) time: 2.9765 data: 0.0059 max mem: 31630 Epoch: [5] [3760/5278] eta: 1:15:34 lr: 4.352485497883761e-05 loss: 0.1391 (0.1623) loss_seg: 0.1378 (0.1607) loss_lansim: 0.1026 (0.1378) loss_contra: 0.0074 (0.0218) time: 2.9783 data: 0.0059 max mem: 31630 Epoch: [5] [3770/5278] eta: 1:15:04 lr: 4.352269038281771e-05 loss: 0.1391 (0.1622) loss_seg: 0.1380 (0.1607) loss_lansim: 0.1014 (0.1377) loss_contra: 0.0060 (0.0218) time: 2.9708 data: 0.0060 max mem: 31630 Epoch: [5] [3780/5278] eta: 1:14:34 lr: 4.352052577483596e-05 loss: 0.1390 (0.1622) loss_seg: 0.1378 (0.1606) loss_lansim: 0.1005 (0.1376) loss_contra: 0.0052 (0.0217) time: 2.9674 data: 0.0060 max mem: 31630 Epoch: [5] [3790/5278] eta: 1:14:04 lr: 4.3518361154891657e-05 loss: 0.1386 (0.1621) loss_seg: 0.1368 (0.1605) loss_lansim: 0.0991 (0.1375) loss_contra: 0.0051 (0.0217) time: 2.9676 data: 0.0060 max mem: 31630 Epoch: [5] [3800/5278] eta: 1:13:34 lr: 4.351619652298405e-05 loss: 0.1387 (0.1621) loss_seg: 0.1378 (0.1605) loss_lansim: 0.0981 (0.1374) loss_contra: 0.0039 (0.0217) time: 2.9726 data: 0.0060 max mem: 31630 Epoch: [5] [3810/5278] eta: 1:13:04 lr: 4.351403187911244e-05 loss: 0.1386 (0.1621) loss_seg: 0.1371 (0.1605) loss_lansim: 0.0976 (0.1373) loss_contra: 0.0036 (0.0216) time: 2.9705 data: 0.0060 max mem: 31630 Epoch: [5] [3820/5278] eta: 1:12:35 lr: 4.351186722327608e-05 loss: 0.1390 (0.1621) loss_seg: 0.1380 (0.1605) loss_lansim: 0.0976 (0.1372) loss_contra: 0.0034 (0.0216) time: 2.9740 data: 0.0060 max mem: 31630 Epoch: [5] [3830/5278] eta: 1:12:05 lr: 4.350970255547423e-05 loss: 0.1469 (0.1622) loss_seg: 0.1456 (0.1606) loss_lansim: 0.0974 (0.1371) loss_contra: 0.0034 (0.0217) time: 2.9683 data: 0.0060 max mem: 31630 Epoch: [5] [3840/5278] eta: 1:11:35 lr: 4.35075378757062e-05 loss: 0.1455 (0.1622) loss_seg: 0.1437 (0.1606) loss_lansim: 0.0976 (0.1370) loss_contra: 0.0036 (0.0217) time: 2.9785 data: 0.0060 max mem: 31630 Epoch: [5] [3850/5278] eta: 1:11:05 lr: 4.350537318397124e-05 loss: 0.1441 (0.1621) loss_seg: 0.1429 (0.1606) loss_lansim: 0.0975 (0.1369) loss_contra: 0.0036 (0.0217) time: 2.9791 data: 0.0061 max mem: 31630 Epoch: [5] [3860/5278] eta: 1:10:35 lr: 4.350320848026861e-05 loss: 0.1412 (0.1621) loss_seg: 0.1399 (0.1606) loss_lansim: 0.0974 (0.1368) loss_contra: 0.0037 (0.0217) time: 2.9708 data: 0.0062 max mem: 31630 Epoch: [5] [3870/5278] eta: 1:10:05 lr: 4.350104376459761e-05 loss: 0.1440 (0.1621) loss_seg: 0.1429 (0.1605) loss_lansim: 0.0964 (0.1367) loss_contra: 0.0053 (0.0217) time: 2.9787 data: 0.0062 max mem: 31630 Epoch: [5] [3880/5278] eta: 1:09:35 lr: 4.349887903695749e-05 loss: 0.1455 (0.1621) loss_seg: 0.1437 (0.1605) loss_lansim: 0.0960 (0.1366) loss_contra: 0.0053 (0.0217) time: 2.9826 data: 0.0062 max mem: 31630 Epoch: [5] [3890/5278] eta: 1:09:05 lr: 4.3496714297347526e-05 loss: 0.1455 (0.1620) loss_seg: 0.1437 (0.1605) loss_lansim: 0.0960 (0.1365) loss_contra: 0.0053 (0.0218) time: 2.9815 data: 0.0062 max mem: 31630 Epoch: [5] [3900/5278] eta: 1:08:35 lr: 4.349454954576701e-05 loss: 0.1455 (0.1620) loss_seg: 0.1437 (0.1604) loss_lansim: 0.0956 (0.1364) loss_contra: 0.0050 (0.0218) time: 2.9751 data: 0.0062 max mem: 31630 Epoch: [5] [3910/5278] eta: 1:08:05 lr: 4.349238478221518e-05 loss: 0.1440 (0.1620) loss_seg: 0.1430 (0.1604) loss_lansim: 0.0960 (0.1363) loss_contra: 0.0053 (0.0218) time: 2.9731 data: 0.0062 max mem: 31630 Epoch: [5] [3920/5278] eta: 1:07:35 lr: 4.349022000669134e-05 loss: 0.1451 (0.1620) loss_seg: 0.1437 (0.1604) loss_lansim: 0.0955 (0.1362) loss_contra: 0.0063 (0.0218) time: 2.9670 data: 0.0062 max mem: 31630 Epoch: [5] [3930/5278] eta: 1:07:05 lr: 4.348805521919474e-05 loss: 0.1433 (0.1619) loss_seg: 0.1422 (0.1603) loss_lansim: 0.0955 (0.1361) loss_contra: 0.0063 (0.0217) time: 2.9672 data: 0.0062 max mem: 31630 Epoch: [5] [3940/5278] eta: 1:06:35 lr: 4.348589041972465e-05 loss: 0.1423 (0.1619) loss_seg: 0.1413 (0.1603) loss_lansim: 0.0938 (0.1360) loss_contra: 0.0058 (0.0217) time: 2.9628 data: 0.0061 max mem: 31630 Epoch: [5] [3950/5278] eta: 1:06:06 lr: 4.348372560828036e-05 loss: 0.1433 (0.1619) loss_seg: 0.1413 (0.1603) loss_lansim: 0.0938 (0.1359) loss_contra: 0.0067 (0.0217) time: 2.9620 data: 0.0061 max mem: 31630 Epoch: [5] [3960/5278] eta: 1:05:35 lr: 4.348156078486113e-05 loss: 0.1423 (0.1620) loss_seg: 0.1404 (0.1604) loss_lansim: 0.0942 (0.1358) loss_contra: 0.0052 (0.0217) time: 2.9654 data: 0.0060 max mem: 31630 Epoch: [5] [3970/5278] eta: 1:05:05 lr: 4.347939594946623e-05 loss: 0.1407 (0.1619) loss_seg: 0.1399 (0.1604) loss_lansim: 0.0948 (0.1357) loss_contra: 0.0050 (0.0217) time: 2.9594 data: 0.0060 max mem: 31630 Epoch: [5] [3980/5278] eta: 1:04:36 lr: 4.347723110209494e-05 loss: 0.1437 (0.1620) loss_seg: 0.1413 (0.1604) loss_lansim: 0.0946 (0.1356) loss_contra: 0.0052 (0.0217) time: 2.9595 data: 0.0060 max mem: 31630 Epoch: [5] [3990/5278] eta: 1:04:06 lr: 4.347506624274651e-05 loss: 0.1437 (0.1620) loss_seg: 0.1413 (0.1604) loss_lansim: 0.0962 (0.1355) loss_contra: 0.0060 (0.0217) time: 2.9533 data: 0.0060 max mem: 31630 Epoch: [5] [4000/5278] eta: 1:03:36 lr: 4.3472901371420245e-05 loss: 0.1423 (0.1619) loss_seg: 0.1407 (0.1604) loss_lansim: 0.0962 (0.1354) loss_contra: 0.0052 (0.0217) time: 2.9592 data: 0.0060 max mem: 31630 Epoch: [5] [4010/5278] eta: 1:03:06 lr: 4.347073648811538e-05 loss: 0.1451 (0.1619) loss_seg: 0.1441 (0.1604) loss_lansim: 0.0946 (0.1353) loss_contra: 0.0060 (0.0217) time: 2.9648 data: 0.0059 max mem: 31630 Epoch: [5] [4020/5278] eta: 1:02:36 lr: 4.346857159283122e-05 loss: 0.1437 (0.1619) loss_seg: 0.1407 (0.1604) loss_lansim: 0.0947 (0.1352) loss_contra: 0.0052 (0.0218) time: 2.9638 data: 0.0059 max mem: 31630 Epoch: [5] [4030/5278] eta: 1:02:06 lr: 4.3466406685567005e-05 loss: 0.1454 (0.1619) loss_seg: 0.1445 (0.1603) loss_lansim: 0.0958 (0.1351) loss_contra: 0.0052 (0.0217) time: 2.9646 data: 0.0059 max mem: 31630 Epoch: [5] [4040/5278] eta: 1:01:36 lr: 4.3464241766322026e-05 loss: 0.1459 (0.1619) loss_seg: 0.1450 (0.1604) loss_lansim: 0.0963 (0.1351) loss_contra: 0.0052 (0.0219) time: 2.9655 data: 0.0059 max mem: 31630 Epoch: [5] [4050/5278] eta: 1:01:06 lr: 4.346207683509554e-05 loss: 0.1459 (0.1620) loss_seg: 0.1450 (0.1604) loss_lansim: 0.0969 (0.1350) loss_contra: 0.0052 (0.0221) time: 2.9633 data: 0.0060 max mem: 31630 Epoch: [5] [4060/5278] eta: 1:00:36 lr: 4.3459911891886835e-05 loss: 0.1465 (0.1620) loss_seg: 0.1455 (0.1604) loss_lansim: 0.0963 (0.1348) loss_contra: 0.0052 (0.0221) time: 2.9611 data: 0.0060 max mem: 31630 Epoch: [5] [4070/5278] eta: 1:00:06 lr: 4.345774693669517e-05 loss: 0.1477 (0.1619) loss_seg: 0.1466 (0.1604) loss_lansim: 0.0958 (0.1348) loss_contra: 0.0067 (0.0222) time: 2.9643 data: 0.0060 max mem: 31630 Epoch: [5] [4080/5278] eta: 0:59:36 lr: 4.345558196951981e-05 loss: 0.1485 (0.1620) loss_seg: 0.1474 (0.1604) loss_lansim: 0.0969 (0.1347) loss_contra: 0.0063 (0.0223) time: 2.9629 data: 0.0060 max mem: 31630 Epoch: [5] [4090/5278] eta: 0:59:06 lr: 4.345341699036003e-05 loss: 0.1485 (0.1619) loss_seg: 0.1474 (0.1603) loss_lansim: 0.0963 (0.1346) loss_contra: 0.0058 (0.0224) time: 2.9617 data: 0.0060 max mem: 31630 Epoch: [5] [4100/5278] eta: 0:58:36 lr: 4.345125199921511e-05 loss: 0.1506 (0.1619) loss_seg: 0.1493 (0.1604) loss_lansim: 0.0963 (0.1345) loss_contra: 0.0071 (0.0225) time: 2.9601 data: 0.0060 max mem: 31630 Epoch: [5] [4110/5278] eta: 0:58:07 lr: 4.344908699608431e-05 loss: 0.1474 (0.1619) loss_seg: 0.1458 (0.1603) loss_lansim: 0.0962 (0.1344) loss_contra: 0.0086 (0.0225) time: 2.9575 data: 0.0060 max mem: 31630 Epoch: [5] [4120/5278] eta: 0:57:37 lr: 4.34469219809669e-05 loss: 0.1474 (0.1618) loss_seg: 0.1458 (0.1603) loss_lansim: 0.0944 (0.1342) loss_contra: 0.0121 (0.0225) time: 2.9632 data: 0.0059 max mem: 31630 Epoch: [5] [4130/5278] eta: 0:57:07 lr: 4.344475695386215e-05 loss: 0.1477 (0.1618) loss_seg: 0.1468 (0.1603) loss_lansim: 0.0915 (0.1341) loss_contra: 0.0130 (0.0226) time: 2.9608 data: 0.0060 max mem: 31630 Epoch: [5] [4140/5278] eta: 0:56:37 lr: 4.344259191476934e-05 loss: 0.1496 (0.1618) loss_seg: 0.1482 (0.1603) loss_lansim: 0.0886 (0.1339) loss_contra: 0.0130 (0.0225) time: 2.9596 data: 0.0059 max mem: 31630 Epoch: [5] [4150/5278] eta: 0:56:07 lr: 4.3440426863687725e-05 loss: 0.1490 (0.1618) loss_seg: 0.1480 (0.1602) loss_lansim: 0.0849 (0.1338) loss_contra: 0.0122 (0.0225) time: 2.9608 data: 0.0058 max mem: 31630 Epoch: [5] [4160/5278] eta: 0:55:37 lr: 4.3438261800616586e-05 loss: 0.1476 (0.1618) loss_seg: 0.1468 (0.1602) loss_lansim: 0.0815 (0.1337) loss_contra: 0.0120 (0.0225) time: 2.9676 data: 0.0058 max mem: 31630 Epoch: [5] [4170/5278] eta: 0:55:07 lr: 4.343609672555519e-05 loss: 0.1490 (0.1618) loss_seg: 0.1480 (0.1602) loss_lansim: 0.0791 (0.1335) loss_contra: 0.0105 (0.0226) time: 2.9694 data: 0.0058 max mem: 31630 Epoch: [5] [4180/5278] eta: 0:54:37 lr: 4.3433931638502796e-05 loss: 0.1472 (0.1617) loss_seg: 0.1446 (0.1601) loss_lansim: 0.0778 (0.1334) loss_contra: 0.0109 (0.0226) time: 2.9653 data: 0.0058 max mem: 31630 Epoch: [5] [4190/5278] eta: 0:54:07 lr: 4.343176653945868e-05 loss: 0.1476 (0.1617) loss_seg: 0.1468 (0.1602) loss_lansim: 0.0765 (0.1333) loss_contra: 0.0110 (0.0226) time: 2.9710 data: 0.0057 max mem: 31630 Epoch: [5] [4200/5278] eta: 0:53:37 lr: 4.342960142842212e-05 loss: 0.1476 (0.1618) loss_seg: 0.1467 (0.1602) loss_lansim: 0.0772 (0.1332) loss_contra: 0.0079 (0.0225) time: 2.9699 data: 0.0058 max mem: 31630 Epoch: [5] [4210/5278] eta: 0:53:07 lr: 4.3427436305392385e-05 loss: 0.1538 (0.1618) loss_seg: 0.1526 (0.1602) loss_lansim: 0.0773 (0.1330) loss_contra: 0.0077 (0.0226) time: 2.9632 data: 0.0058 max mem: 31630 Epoch: [5] [4220/5278] eta: 0:52:38 lr: 4.3425271170368724e-05 loss: 0.1552 (0.1619) loss_seg: 0.1543 (0.1603) loss_lansim: 0.0774 (0.1329) loss_contra: 0.0071 (0.0226) time: 2.9613 data: 0.0058 max mem: 31630 Epoch: [5] [4230/5278] eta: 0:52:08 lr: 4.342310602335043e-05 loss: 0.1552 (0.1618) loss_seg: 0.1543 (0.1603) loss_lansim: 0.0774 (0.1328) loss_contra: 0.0074 (0.0226) time: 2.9650 data: 0.0058 max mem: 31630 Epoch: [5] [4240/5278] eta: 0:51:38 lr: 4.342094086433676e-05 loss: 0.1520 (0.1618) loss_seg: 0.1511 (0.1602) loss_lansim: 0.0792 (0.1327) loss_contra: 0.0074 (0.0226) time: 2.9647 data: 0.0059 max mem: 31630 Epoch: [5] [4250/5278] eta: 0:51:08 lr: 4.3418775693326984e-05 loss: 0.1520 (0.1617) loss_seg: 0.1511 (0.1602) loss_lansim: 0.0793 (0.1326) loss_contra: 0.0063 (0.0226) time: 2.9563 data: 0.0060 max mem: 31630 Epoch: [5] [4260/5278] eta: 0:50:38 lr: 4.341661051032037e-05 loss: 0.1541 (0.1617) loss_seg: 0.1532 (0.1602) loss_lansim: 0.0818 (0.1325) loss_contra: 0.0062 (0.0226) time: 2.9561 data: 0.0060 max mem: 31630 Epoch: [5] [4270/5278] eta: 0:50:08 lr: 4.3414445315316185e-05 loss: 0.1584 (0.1618) loss_seg: 0.1573 (0.1602) loss_lansim: 0.0825 (0.1324) loss_contra: 0.0063 (0.0228) time: 2.9492 data: 0.0060 max mem: 31630 Epoch: [5] [4280/5278] eta: 0:49:38 lr: 4.341228010831371e-05 loss: 0.1598 (0.1618) loss_seg: 0.1586 (0.1603) loss_lansim: 0.0832 (0.1323) loss_contra: 0.0055 (0.0227) time: 2.9463 data: 0.0060 max mem: 31630 Epoch: [5] [4290/5278] eta: 0:49:08 lr: 4.34101148893122e-05 loss: 0.1589 (0.1619) loss_seg: 0.1578 (0.1603) loss_lansim: 0.0842 (0.1322) loss_contra: 0.0051 (0.0228) time: 2.9491 data: 0.0061 max mem: 31630 Epoch: [5] [4300/5278] eta: 0:48:38 lr: 4.340794965831093e-05 loss: 0.1579 (0.1618) loss_seg: 0.1568 (0.1603) loss_lansim: 0.0846 (0.1321) loss_contra: 0.0063 (0.0230) time: 2.9506 data: 0.0062 max mem: 31630 Epoch: [5] [4310/5278] eta: 0:48:08 lr: 4.3405784415309165e-05 loss: 0.1541 (0.1618) loss_seg: 0.1532 (0.1603) loss_lansim: 0.0849 (0.1320) loss_contra: 0.0071 (0.0231) time: 2.9482 data: 0.0062 max mem: 31630 Epoch: [5] [4320/5278] eta: 0:47:38 lr: 4.3403619160306173e-05 loss: 0.1459 (0.1618) loss_seg: 0.1451 (0.1602) loss_lansim: 0.0835 (0.1318) loss_contra: 0.0076 (0.0232) time: 2.9480 data: 0.0063 max mem: 31630 Epoch: [5] [4330/5278] eta: 0:47:08 lr: 4.3401453893301233e-05 loss: 0.1429 (0.1617) loss_seg: 0.1421 (0.1602) loss_lansim: 0.0830 (0.1317) loss_contra: 0.0093 (0.0231) time: 2.9525 data: 0.0063 max mem: 31630 Epoch: [5] [4340/5278] eta: 0:46:39 lr: 4.33992886142936e-05 loss: 0.1459 (0.1617) loss_seg: 0.1451 (0.1601) loss_lansim: 0.0835 (0.1316) loss_contra: 0.0076 (0.0232) time: 2.9514 data: 0.0063 max mem: 31630 Epoch: [5] [4350/5278] eta: 0:46:09 lr: 4.339712332328254e-05 loss: 0.1429 (0.1616) loss_seg: 0.1418 (0.1601) loss_lansim: 0.0841 (0.1315) loss_contra: 0.0076 (0.0231) time: 2.9570 data: 0.0062 max mem: 31630 Epoch: [5] [4360/5278] eta: 0:45:39 lr: 4.3394958020267336e-05 loss: 0.1403 (0.1616) loss_seg: 0.1394 (0.1600) loss_lansim: 0.0848 (0.1314) loss_contra: 0.0094 (0.0232) time: 2.9595 data: 0.0062 max mem: 31630 Epoch: [5] [4370/5278] eta: 0:45:09 lr: 4.339279270524725e-05 loss: 0.1396 (0.1615) loss_seg: 0.1385 (0.1600) loss_lansim: 0.0851 (0.1313) loss_contra: 0.0076 (0.0233) time: 2.9662 data: 0.0062 max mem: 31630 Epoch: [5] [4380/5278] eta: 0:44:39 lr: 4.339062737822154e-05 loss: 0.1329 (0.1615) loss_seg: 0.1317 (0.1600) loss_lansim: 0.0849 (0.1312) loss_contra: 0.0080 (0.0233) time: 2.9734 data: 0.0062 max mem: 31630 Epoch: [5] [4390/5278] eta: 0:44:09 lr: 4.338846203918947e-05 loss: 0.1376 (0.1615) loss_seg: 0.1366 (0.1599) loss_lansim: 0.0840 (0.1311) loss_contra: 0.0080 (0.0233) time: 2.9766 data: 0.0061 max mem: 31630 Epoch: [5] [4400/5278] eta: 0:43:40 lr: 4.338629668815033e-05 loss: 0.1389 (0.1615) loss_seg: 0.1378 (0.1599) loss_lansim: 0.0829 (0.1310) loss_contra: 0.0075 (0.0233) time: 2.9766 data: 0.0061 max mem: 31630 Epoch: [5] [4410/5278] eta: 0:43:10 lr: 4.338413132510338e-05 loss: 0.1391 (0.1615) loss_seg: 0.1383 (0.1600) loss_lansim: 0.0824 (0.1309) loss_contra: 0.0060 (0.0233) time: 2.9812 data: 0.0061 max mem: 31630 Epoch: [5] [4420/5278] eta: 0:42:40 lr: 4.3381965950047885e-05 loss: 0.1416 (0.1615) loss_seg: 0.1392 (0.1599) loss_lansim: 0.0835 (0.1308) loss_contra: 0.0060 (0.0233) time: 2.9797 data: 0.0059 max mem: 31630 Epoch: [5] [4430/5278] eta: 0:42:10 lr: 4.3379800562983106e-05 loss: 0.1416 (0.1615) loss_seg: 0.1392 (0.1599) loss_lansim: 0.0842 (0.1307) loss_contra: 0.0051 (0.0233) time: 2.9699 data: 0.0058 max mem: 31630 Epoch: [5] [4440/5278] eta: 0:41:40 lr: 4.337763516390832e-05 loss: 0.1416 (0.1614) loss_seg: 0.1392 (0.1599) loss_lansim: 0.0848 (0.1306) loss_contra: 0.0060 (0.0233) time: 2.9737 data: 0.0057 max mem: 31630 Epoch: [5] [4450/5278] eta: 0:41:10 lr: 4.337546975282279e-05 loss: 0.1416 (0.1614) loss_seg: 0.1392 (0.1598) loss_lansim: 0.0851 (0.1305) loss_contra: 0.0062 (0.0234) time: 2.9688 data: 0.0057 max mem: 31630 Epoch: [5] [4460/5278] eta: 0:40:40 lr: 4.337330432972578e-05 loss: 0.1452 (0.1614) loss_seg: 0.1444 (0.1599) loss_lansim: 0.0858 (0.1304) loss_contra: 0.0060 (0.0234) time: 2.9640 data: 0.0056 max mem: 31630 Epoch: [5] [4470/5278] eta: 0:40:10 lr: 4.337113889461656e-05 loss: 0.1418 (0.1614) loss_seg: 0.1404 (0.1599) loss_lansim: 0.0860 (0.1304) loss_contra: 0.0060 (0.0234) time: 2.9646 data: 0.0056 max mem: 31630 Epoch: [5] [4480/5278] eta: 0:39:40 lr: 4.3368973447494395e-05 loss: 0.1452 (0.1614) loss_seg: 0.1444 (0.1598) loss_lansim: 0.0863 (0.1303) loss_contra: 0.0061 (0.0234) time: 2.9647 data: 0.0056 max mem: 31630 Epoch: [5] [4490/5278] eta: 0:39:10 lr: 4.336680798835855e-05 loss: 0.1539 (0.1614) loss_seg: 0.1531 (0.1598) loss_lansim: 0.0871 (0.1302) loss_contra: 0.0061 (0.0233) time: 2.9556 data: 0.0058 max mem: 31630 Epoch: [5] [4500/5278] eta: 0:38:41 lr: 4.33646425172083e-05 loss: 0.1552 (0.1614) loss_seg: 0.1543 (0.1598) loss_lansim: 0.0877 (0.1301) loss_contra: 0.0061 (0.0233) time: 2.9611 data: 0.0059 max mem: 31630 Epoch: [5] [4510/5278] eta: 0:38:11 lr: 4.3362477034042905e-05 loss: 0.1418 (0.1614) loss_seg: 0.1409 (0.1598) loss_lansim: 0.0888 (0.1300) loss_contra: 0.0060 (0.0233) time: 2.9649 data: 0.0060 max mem: 31630 Epoch: [5] [4520/5278] eta: 0:37:41 lr: 4.336031153886164e-05 loss: 0.1548 (0.1614) loss_seg: 0.1533 (0.1599) loss_lansim: 0.0906 (0.1299) loss_contra: 0.0042 (0.0233) time: 2.9637 data: 0.0062 max mem: 31630 Epoch: [5] [4530/5278] eta: 0:37:11 lr: 4.3358146031663765e-05 loss: 0.1555 (0.1614) loss_seg: 0.1547 (0.1598) loss_lansim: 0.0906 (0.1298) loss_contra: 0.0039 (0.0232) time: 2.9724 data: 0.0063 max mem: 31630 Epoch: [5] [4540/5278] eta: 0:36:41 lr: 4.335598051244854e-05 loss: 0.1548 (0.1613) loss_seg: 0.1533 (0.1598) loss_lansim: 0.0896 (0.1297) loss_contra: 0.0035 (0.0232) time: 2.9698 data: 0.0064 max mem: 31630 Epoch: [5] [4550/5278] eta: 0:36:12 lr: 4.335381498121525e-05 loss: 0.1506 (0.1613) loss_seg: 0.1493 (0.1598) loss_lansim: 0.0896 (0.1297) loss_contra: 0.0034 (0.0232) time: 2.9783 data: 0.0065 max mem: 31630 Epoch: [5] [4560/5278] eta: 0:35:42 lr: 4.3351649437963136e-05 loss: 0.1467 (0.1613) loss_seg: 0.1456 (0.1597) loss_lansim: 0.0886 (0.1296) loss_contra: 0.0030 (0.0232) time: 2.9817 data: 0.0066 max mem: 31630 Epoch: [5] [4570/5278] eta: 0:35:12 lr: 4.3349483882691485e-05 loss: 0.1422 (0.1612) loss_seg: 0.1410 (0.1597) loss_lansim: 0.0896 (0.1295) loss_contra: 0.0030 (0.0232) time: 2.9748 data: 0.0067 max mem: 31630 Epoch: [5] [4580/5278] eta: 0:34:42 lr: 4.3347318315399555e-05 loss: 0.1396 (0.1612) loss_seg: 0.1387 (0.1596) loss_lansim: 0.0896 (0.1294) loss_contra: 0.0025 (0.0231) time: 2.9740 data: 0.0067 max mem: 31630 Epoch: [5] [4590/5278] eta: 0:34:12 lr: 4.3345152736086615e-05 loss: 0.1402 (0.1612) loss_seg: 0.1393 (0.1596) loss_lansim: 0.0915 (0.1293) loss_contra: 0.0025 (0.0231) time: 2.9809 data: 0.0067 max mem: 31630 Epoch: [5] [4600/5278] eta: 0:33:42 lr: 4.3342987144751926e-05 loss: 0.1422 (0.1612) loss_seg: 0.1410 (0.1597) loss_lansim: 0.0915 (0.1293) loss_contra: 0.0024 (0.0231) time: 2.9748 data: 0.0066 max mem: 31630 Epoch: [5] [4610/5278] eta: 0:33:12 lr: 4.3340821541394757e-05 loss: 0.1422 (0.1611) loss_seg: 0.1410 (0.1596) loss_lansim: 0.0909 (0.1292) loss_contra: 0.0023 (0.0230) time: 2.9697 data: 0.0066 max mem: 31630 Epoch: [5] [4620/5278] eta: 0:32:43 lr: 4.3338655926014374e-05 loss: 0.1385 (0.1611) loss_seg: 0.1376 (0.1596) loss_lansim: 0.0914 (0.1291) loss_contra: 0.0023 (0.0230) time: 2.9758 data: 0.0065 max mem: 31630 Epoch: [5] [4630/5278] eta: 0:32:13 lr: 4.333649029861004e-05 loss: 0.1429 (0.1611) loss_seg: 0.1421 (0.1596) loss_lansim: 0.0917 (0.1290) loss_contra: 0.0023 (0.0230) time: 2.9770 data: 0.0065 max mem: 31630 Epoch: [5] [4640/5278] eta: 0:31:43 lr: 4.3334324659181025e-05 loss: 0.1426 (0.1611) loss_seg: 0.1415 (0.1595) loss_lansim: 0.0923 (0.1290) loss_contra: 0.0022 (0.0229) time: 2.9742 data: 0.0065 max mem: 31630 Epoch: [5] [4650/5278] eta: 0:31:13 lr: 4.333215900772659e-05 loss: 0.1477 (0.1611) loss_seg: 0.1468 (0.1596) loss_lansim: 0.0919 (0.1289) loss_contra: 0.0019 (0.0229) time: 2.9704 data: 0.0064 max mem: 31630 Epoch: [5] [4660/5278] eta: 0:30:43 lr: 4.332999334424601e-05 loss: 0.1486 (0.1611) loss_seg: 0.1477 (0.1596) loss_lansim: 0.0929 (0.1288) loss_contra: 0.0023 (0.0229) time: 2.9715 data: 0.0064 max mem: 31630 Epoch: [5] [4670/5278] eta: 0:30:13 lr: 4.332782766873854e-05 loss: 0.1499 (0.1611) loss_seg: 0.1489 (0.1596) loss_lansim: 0.0932 (0.1288) loss_contra: 0.0024 (0.0229) time: 2.9684 data: 0.0063 max mem: 31630 Epoch: [5] [4680/5278] eta: 0:29:43 lr: 4.3325661981203445e-05 loss: 0.1499 (0.1611) loss_seg: 0.1489 (0.1596) loss_lansim: 0.0938 (0.1287) loss_contra: 0.0025 (0.0229) time: 2.9604 data: 0.0064 max mem: 31630 Epoch: [5] [4690/5278] eta: 0:29:13 lr: 4.332349628163999e-05 loss: 0.1485 (0.1610) loss_seg: 0.1473 (0.1595) loss_lansim: 0.0940 (0.1287) loss_contra: 0.0025 (0.0228) time: 2.9568 data: 0.0063 max mem: 31630 Epoch: [5] [4700/5278] eta: 0:28:43 lr: 4.3321330570047444e-05 loss: 0.1477 (0.1611) loss_seg: 0.1468 (0.1595) loss_lansim: 0.0954 (0.1286) loss_contra: 0.0024 (0.0228) time: 2.9485 data: 0.0063 max mem: 31630 Epoch: [5] [4710/5278] eta: 0:28:14 lr: 4.331916484642508e-05 loss: 0.1477 (0.1610) loss_seg: 0.1464 (0.1595) loss_lansim: 0.0955 (0.1285) loss_contra: 0.0025 (0.0228) time: 2.9484 data: 0.0063 max mem: 31630 Epoch: [5] [4720/5278] eta: 0:27:44 lr: 4.331699911077215e-05 loss: 0.1485 (0.1610) loss_seg: 0.1473 (0.1595) loss_lansim: 0.0955 (0.1284) loss_contra: 0.0025 (0.0227) time: 2.9410 data: 0.0063 max mem: 31630 Epoch: [5] [4730/5278] eta: 0:27:14 lr: 4.331483336308793e-05 loss: 0.1460 (0.1610) loss_seg: 0.1450 (0.1595) loss_lansim: 0.0968 (0.1284) loss_contra: 0.0024 (0.0227) time: 2.9309 data: 0.0063 max mem: 31630 Epoch: [5] [4740/5278] eta: 0:26:44 lr: 4.331266760337167e-05 loss: 0.1460 (0.1609) loss_seg: 0.1450 (0.1594) loss_lansim: 0.0970 (0.1283) loss_contra: 0.0022 (0.0227) time: 2.9288 data: 0.0063 max mem: 31630 Epoch: [5] [4750/5278] eta: 0:26:14 lr: 4.331050183162264e-05 loss: 0.1458 (0.1609) loss_seg: 0.1447 (0.1594) loss_lansim: 0.0968 (0.1282) loss_contra: 0.0017 (0.0226) time: 2.9267 data: 0.0063 max mem: 31630 Epoch: [5] [4760/5278] eta: 0:25:44 lr: 4.3308336047840114e-05 loss: 0.1458 (0.1609) loss_seg: 0.1447 (0.1594) loss_lansim: 0.0955 (0.1282) loss_contra: 0.0016 (0.0226) time: 2.9208 data: 0.0062 max mem: 31630 Epoch: [5] [4770/5278] eta: 0:25:14 lr: 4.330617025202335e-05 loss: 0.1456 (0.1609) loss_seg: 0.1446 (0.1594) loss_lansim: 0.0957 (0.1281) loss_contra: 0.0013 (0.0226) time: 2.9282 data: 0.0062 max mem: 31630 Epoch: [5] [4780/5278] eta: 0:24:45 lr: 4.330400444417161e-05 loss: 0.1456 (0.1609) loss_seg: 0.1446 (0.1594) loss_lansim: 0.0953 (0.1281) loss_contra: 0.0012 (0.0225) time: 2.9401 data: 0.0062 max mem: 31630 Epoch: [5] [4790/5278] eta: 0:24:15 lr: 4.330183862428416e-05 loss: 0.1459 (0.1609) loss_seg: 0.1448 (0.1594) loss_lansim: 0.0953 (0.1280) loss_contra: 0.0012 (0.0225) time: 2.9406 data: 0.0062 max mem: 31630 Epoch: [5] [4800/5278] eta: 0:23:45 lr: 4.329967279236026e-05 loss: 0.1459 (0.1608) loss_seg: 0.1447 (0.1593) loss_lansim: 0.0945 (0.1279) loss_contra: 0.0013 (0.0225) time: 2.9549 data: 0.0062 max mem: 31630 Epoch: [5] [4810/5278] eta: 0:23:15 lr: 4.329750694839919e-05 loss: 0.1481 (0.1608) loss_seg: 0.1470 (0.1593) loss_lansim: 0.0946 (0.1279) loss_contra: 0.0013 (0.0224) time: 2.9597 data: 0.0062 max mem: 31630 Epoch: [5] [4820/5278] eta: 0:22:45 lr: 4.329534109240019e-05 loss: 0.1463 (0.1608) loss_seg: 0.1454 (0.1593) loss_lansim: 0.0946 (0.1278) loss_contra: 0.0013 (0.0224) time: 2.9654 data: 0.0062 max mem: 31630 Epoch: [5] [4830/5278] eta: 0:22:15 lr: 4.329317522436255e-05 loss: 0.1479 (0.1607) loss_seg: 0.1470 (0.1592) loss_lansim: 0.0944 (0.1277) loss_contra: 0.0014 (0.0224) time: 2.9735 data: 0.0062 max mem: 31630 Epoch: [5] [4840/5278] eta: 0:21:46 lr: 4.329100934428552e-05 loss: 0.1463 (0.1607) loss_seg: 0.1454 (0.1592) loss_lansim: 0.0937 (0.1277) loss_contra: 0.0014 (0.0224) time: 2.9798 data: 0.0061 max mem: 31630 Epoch: [5] [4850/5278] eta: 0:21:16 lr: 4.328884345216836e-05 loss: 0.1461 (0.1607) loss_seg: 0.1451 (0.1592) loss_lansim: 0.0939 (0.1276) loss_contra: 0.0014 (0.0223) time: 2.9817 data: 0.0061 max mem: 31630 Epoch: [5] [4860/5278] eta: 0:20:46 lr: 4.328667754801034e-05 loss: 0.1455 (0.1607) loss_seg: 0.1444 (0.1592) loss_lansim: 0.0935 (0.1275) loss_contra: 0.0014 (0.0223) time: 2.9871 data: 0.0062 max mem: 31630 Epoch: [5] [4870/5278] eta: 0:20:16 lr: 4.328451163181072e-05 loss: 0.1455 (0.1607) loss_seg: 0.1444 (0.1592) loss_lansim: 0.0939 (0.1275) loss_contra: 0.0015 (0.0223) time: 2.9884 data: 0.0061 max mem: 31630 Epoch: [5] [4880/5278] eta: 0:19:46 lr: 4.328234570356877e-05 loss: 0.1449 (0.1608) loss_seg: 0.1440 (0.1593) loss_lansim: 0.0937 (0.1274) loss_contra: 0.0017 (0.0223) time: 2.9882 data: 0.0060 max mem: 31630 Epoch: [5] [4890/5278] eta: 0:19:17 lr: 4.328017976328374e-05 loss: 0.1461 (0.1608) loss_seg: 0.1451 (0.1593) loss_lansim: 0.0935 (0.1274) loss_contra: 0.0018 (0.0223) time: 2.9934 data: 0.0060 max mem: 31630 Epoch: [5] [4900/5278] eta: 0:18:47 lr: 4.327801381095491e-05 loss: 0.1461 (0.1608) loss_seg: 0.1451 (0.1593) loss_lansim: 0.0949 (0.1273) loss_contra: 0.0018 (0.0223) time: 2.9877 data: 0.0060 max mem: 31630 Epoch: [5] [4910/5278] eta: 0:18:17 lr: 4.327584784658153e-05 loss: 0.1437 (0.1607) loss_seg: 0.1422 (0.1592) loss_lansim: 0.0960 (0.1273) loss_contra: 0.0018 (0.0223) time: 2.9854 data: 0.0059 max mem: 31630 Epoch: [5] [4920/5278] eta: 0:17:47 lr: 4.327368187016288e-05 loss: 0.1441 (0.1607) loss_seg: 0.1429 (0.1592) loss_lansim: 0.0962 (0.1272) loss_contra: 0.0019 (0.0223) time: 2.9835 data: 0.0058 max mem: 31630 Epoch: [5] [4930/5278] eta: 0:17:17 lr: 4.32715158816982e-05 loss: 0.1449 (0.1607) loss_seg: 0.1429 (0.1592) loss_lansim: 0.0977 (0.1272) loss_contra: 0.0023 (0.0223) time: 2.9784 data: 0.0058 max mem: 31630 Epoch: [5] [4940/5278] eta: 0:16:47 lr: 4.326934988118677e-05 loss: 0.1449 (0.1607) loss_seg: 0.1429 (0.1592) loss_lansim: 0.0978 (0.1271) loss_contra: 0.0023 (0.0224) time: 2.9835 data: 0.0057 max mem: 31630 Epoch: [5] [4950/5278] eta: 0:16:18 lr: 4.3267183868627854e-05 loss: 0.1469 (0.1607) loss_seg: 0.1458 (0.1592) loss_lansim: 0.1000 (0.1271) loss_contra: 0.0029 (0.0225) time: 2.9813 data: 0.0057 max mem: 31630 Epoch: [5] [4960/5278] eta: 0:15:48 lr: 4.32650178440207e-05 loss: 0.1449 (0.1607) loss_seg: 0.1429 (0.1592) loss_lansim: 0.1025 (0.1270) loss_contra: 0.0030 (0.0225) time: 2.9793 data: 0.0057 max mem: 31630 Epoch: [5] [4970/5278] eta: 0:15:18 lr: 4.326285180736458e-05 loss: 0.1443 (0.1607) loss_seg: 0.1429 (0.1592) loss_lansim: 0.1023 (0.1270) loss_contra: 0.0034 (0.0225) time: 2.9787 data: 0.0057 max mem: 31630 Epoch: [5] [4980/5278] eta: 0:14:48 lr: 4.326068575865876e-05 loss: 0.1459 (0.1607) loss_seg: 0.1441 (0.1592) loss_lansim: 0.1043 (0.1270) loss_contra: 0.0035 (0.0225) time: 2.9732 data: 0.0058 max mem: 31630 Epoch: [5] [4990/5278] eta: 0:14:18 lr: 4.3258519697902495e-05 loss: 0.1451 (0.1607) loss_seg: 0.1440 (0.1592) loss_lansim: 0.1044 (0.1269) loss_contra: 0.0040 (0.0225) time: 2.9659 data: 0.0058 max mem: 31630 Epoch: [5] [5000/5278] eta: 0:13:48 lr: 4.325635362509506e-05 loss: 0.1449 (0.1607) loss_seg: 0.1429 (0.1592) loss_lansim: 0.1051 (0.1269) loss_contra: 0.0040 (0.0225) time: 2.9683 data: 0.0058 max mem: 31630 Epoch: [5] [5010/5278] eta: 0:13:19 lr: 4.3254187540235704e-05 loss: 0.1459 (0.1607) loss_seg: 0.1441 (0.1592) loss_lansim: 0.1054 (0.1269) loss_contra: 0.0060 (0.0225) time: 2.9676 data: 0.0058 max mem: 31630 Epoch: [5] [5020/5278] eta: 0:12:49 lr: 4.3252021443323685e-05 loss: 0.1459 (0.1607) loss_seg: 0.1441 (0.1592) loss_lansim: 0.1058 (0.1268) loss_contra: 0.0040 (0.0224) time: 2.9656 data: 0.0058 max mem: 31630 Epoch: [5] [5030/5278] eta: 0:12:19 lr: 4.324985533435829e-05 loss: 0.1472 (0.1607) loss_seg: 0.1458 (0.1592) loss_lansim: 0.1079 (0.1268) loss_contra: 0.0037 (0.0224) time: 2.9764 data: 0.0059 max mem: 31630 Epoch: [5] [5040/5278] eta: 0:11:49 lr: 4.324768921333875e-05 loss: 0.1488 (0.1607) loss_seg: 0.1472 (0.1593) loss_lansim: 0.1082 (0.1268) loss_contra: 0.0043 (0.0224) time: 2.9676 data: 0.0059 max mem: 31630 Epoch: [5] [5050/5278] eta: 0:11:19 lr: 4.3245523080264355e-05 loss: 0.1459 (0.1608) loss_seg: 0.1441 (0.1593) loss_lansim: 0.1079 (0.1267) loss_contra: 0.0037 (0.0224) time: 2.9714 data: 0.0059 max mem: 31630 Epoch: [5] [5060/5278] eta: 0:10:50 lr: 4.324335693513435e-05 loss: 0.1472 (0.1608) loss_seg: 0.1458 (0.1593) loss_lansim: 0.1082 (0.1267) loss_contra: 0.0041 (0.0224) time: 2.9686 data: 0.0059 max mem: 31630 Epoch: [5] [5070/5278] eta: 0:10:20 lr: 4.3241190777948006e-05 loss: 0.1472 (0.1608) loss_seg: 0.1458 (0.1593) loss_lansim: 0.1084 (0.1267) loss_contra: 0.0035 (0.0224) time: 2.9625 data: 0.0059 max mem: 31630 Epoch: [5] [5080/5278] eta: 0:09:50 lr: 4.323902460870458e-05 loss: 0.1472 (0.1608) loss_seg: 0.1458 (0.1593) loss_lansim: 0.1079 (0.1266) loss_contra: 0.0035 (0.0224) time: 2.9664 data: 0.0059 max mem: 31630 Epoch: [5] [5090/5278] eta: 0:09:20 lr: 4.323685842740333e-05 loss: 0.1457 (0.1608) loss_seg: 0.1440 (0.1593) loss_lansim: 0.1072 (0.1266) loss_contra: 0.0034 (0.0224) time: 2.9687 data: 0.0060 max mem: 31630 Epoch: [5] [5100/5278] eta: 0:08:50 lr: 4.323469223404352e-05 loss: 0.1445 (0.1607) loss_seg: 0.1433 (0.1593) loss_lansim: 0.1067 (0.1265) loss_contra: 0.0034 (0.0224) time: 2.9663 data: 0.0060 max mem: 31630 Epoch: [5] [5110/5278] eta: 0:08:20 lr: 4.3232526028624416e-05 loss: 0.1433 (0.1607) loss_seg: 0.1420 (0.1593) loss_lansim: 0.1067 (0.1265) loss_contra: 0.0031 (0.0223) time: 2.9689 data: 0.0061 max mem: 31630 Epoch: [5] [5120/5278] eta: 0:07:51 lr: 4.323035981114527e-05 loss: 0.1433 (0.1607) loss_seg: 0.1420 (0.1592) loss_lansim: 0.1071 (0.1265) loss_contra: 0.0029 (0.0223) time: 2.9747 data: 0.0062 max mem: 31630 Epoch: [5] [5130/5278] eta: 0:07:21 lr: 4.322819358160536e-05 loss: 0.1457 (0.1607) loss_seg: 0.1440 (0.1592) loss_lansim: 0.1061 (0.1264) loss_contra: 0.0022 (0.0223) time: 2.9638 data: 0.0062 max mem: 31630 Epoch: [5] [5140/5278] eta: 0:06:51 lr: 4.322602734000394e-05 loss: 0.1432 (0.1607) loss_seg: 0.1420 (0.1592) loss_lansim: 0.1059 (0.1264) loss_contra: 0.0023 (0.0223) time: 2.9632 data: 0.0062 max mem: 31630 Epoch: [5] [5150/5278] eta: 0:06:21 lr: 4.322386108634026e-05 loss: 0.1457 (0.1607) loss_seg: 0.1440 (0.1592) loss_lansim: 0.1061 (0.1264) loss_contra: 0.0023 (0.0222) time: 2.9650 data: 0.0062 max mem: 31630 Epoch: [5] [5160/5278] eta: 0:05:51 lr: 4.322169482061359e-05 loss: 0.1458 (0.1607) loss_seg: 0.1448 (0.1592) loss_lansim: 0.1059 (0.1263) loss_contra: 0.0022 (0.0222) time: 2.9712 data: 0.0062 max mem: 31630 Epoch: [5] [5170/5278] eta: 0:05:21 lr: 4.3219528542823204e-05 loss: 0.1460 (0.1607) loss_seg: 0.1450 (0.1592) loss_lansim: 0.1054 (0.1263) loss_contra: 0.0023 (0.0222) time: 2.9740 data: 0.0062 max mem: 31630 Epoch: [5] [5180/5278] eta: 0:04:52 lr: 4.3217362252968334e-05 loss: 0.1433 (0.1607) loss_seg: 0.1422 (0.1592) loss_lansim: 0.1054 (0.1263) loss_contra: 0.0023 (0.0222) time: 2.9704 data: 0.0062 max mem: 31630 Epoch: [5] [5190/5278] eta: 0:04:22 lr: 4.321519595104827e-05 loss: 0.1458 (0.1607) loss_seg: 0.1448 (0.1592) loss_lansim: 0.1049 (0.1262) loss_contra: 0.0017 (0.0221) time: 2.9714 data: 0.0061 max mem: 31630 Epoch: [5] [5200/5278] eta: 0:03:52 lr: 4.321302963706225e-05 loss: 0.1458 (0.1607) loss_seg: 0.1448 (0.1592) loss_lansim: 0.1046 (0.1262) loss_contra: 0.0017 (0.0221) time: 2.9700 data: 0.0060 max mem: 31630 Epoch: [5] [5210/5278] eta: 0:03:22 lr: 4.321086331100955e-05 loss: 0.1432 (0.1606) loss_seg: 0.1422 (0.1592) loss_lansim: 0.1045 (0.1261) loss_contra: 0.0017 (0.0221) time: 2.9712 data: 0.0060 max mem: 31630 Epoch: [5] [5220/5278] eta: 0:02:52 lr: 4.320869697288942e-05 loss: 0.1432 (0.1606) loss_seg: 0.1422 (0.1591) loss_lansim: 0.1042 (0.1261) loss_contra: 0.0017 (0.0220) time: 2.9682 data: 0.0060 max mem: 31630 Epoch: [5] [5230/5278] eta: 0:02:23 lr: 4.3206530622701126e-05 loss: 0.1431 (0.1606) loss_seg: 0.1421 (0.1591) loss_lansim: 0.1042 (0.1261) loss_contra: 0.0016 (0.0220) time: 2.9717 data: 0.0059 max mem: 31630 Epoch: [5] [5240/5278] eta: 0:01:53 lr: 4.320436426044393e-05 loss: 0.1423 (0.1605) loss_seg: 0.1407 (0.1590) loss_lansim: 0.1066 (0.1260) loss_contra: 0.0016 (0.0221) time: 2.9675 data: 0.0059 max mem: 31630 Epoch: [5] [5250/5278] eta: 0:01:23 lr: 4.320219788611709e-05 loss: 0.1414 (0.1605) loss_seg: 0.1396 (0.1590) loss_lansim: 0.1074 (0.1260) loss_contra: 0.0016 (0.0221) time: 2.9637 data: 0.0059 max mem: 31630 Epoch: [5] [5260/5278] eta: 0:00:53 lr: 4.3200031499719865e-05 loss: 0.1383 (0.1604) loss_seg: 0.1364 (0.1589) loss_lansim: 0.1084 (0.1260) loss_contra: 0.0017 (0.0221) time: 2.9653 data: 0.0059 max mem: 31630 Epoch: [5] [5270/5278] eta: 0:00:23 lr: 4.319786510125152e-05 loss: 0.1350 (0.1604) loss_seg: 0.1339 (0.1589) loss_lansim: 0.1098 (0.1260) loss_contra: 0.0029 (0.0221) time: 2.9632 data: 0.0058 max mem: 31630 Epoch: [5] Total time: 4:22:15 Test: [ 0/2573] eta: 1:01:25 time: 1.4322 data: 1.2055 max mem: 31630 Test: [ 100/2573] eta: 0:06:20 time: 0.1412 data: 0.0016 max mem: 31630 Test: [ 200/2573] eta: 0:05:55 time: 0.1457 data: 0.0016 max mem: 31630 Test: [ 300/2573] eta: 0:05:34 time: 0.1415 data: 0.0016 max mem: 31630 Test: [ 400/2573] eta: 0:05:17 time: 0.1436 data: 0.0016 max mem: 31630 Test: [ 500/2573] eta: 0:05:02 time: 0.1451 data: 0.0016 max mem: 31630 Test: [ 600/2573] eta: 0:04:47 time: 0.1455 data: 0.0016 max mem: 31630 Test: [ 700/2573] eta: 0:04:34 time: 0.1499 data: 0.0016 max mem: 31630 Test: [ 800/2573] eta: 0:04:19 time: 0.1464 data: 0.0016 max mem: 31630 Test: [ 900/2573] eta: 0:04:05 time: 0.1468 data: 0.0016 max mem: 31630 Test: [1000/2573] eta: 0:03:50 time: 0.1458 data: 0.0016 max mem: 31630 Test: [1100/2573] eta: 0:03:35 time: 0.1444 data: 0.0016 max mem: 31630 Test: [1200/2573] eta: 0:03:20 time: 0.1473 data: 0.0017 max mem: 31630 Test: [1300/2573] eta: 0:03:06 time: 0.1457 data: 0.0016 max mem: 31630 Test: [1400/2573] eta: 0:02:51 time: 0.1414 data: 0.0016 max mem: 31630 Test: [1500/2573] eta: 0:02:36 time: 0.1461 data: 0.0016 max mem: 31630 Test: [1600/2573] eta: 0:02:21 time: 0.1455 data: 0.0016 max mem: 31630 Test: [1700/2573] eta: 0:02:07 time: 0.1464 data: 0.0017 max mem: 31630 Test: [1800/2573] eta: 0:01:52 time: 0.1430 data: 0.0017 max mem: 31630 Test: [1900/2573] eta: 0:01:37 time: 0.1419 data: 0.0017 max mem: 31630 Test: [2000/2573] eta: 0:01:23 time: 0.1414 data: 0.0016 max mem: 31630 Test: [2100/2573] eta: 0:01:08 time: 0.1471 data: 0.0016 max mem: 31630 Test: [2200/2573] eta: 0:00:54 time: 0.1414 data: 0.0016 max mem: 31630 Test: [2300/2573] eta: 0:00:39 time: 0.1465 data: 0.0016 max mem: 31630 Test: [2400/2573] eta: 0:00:25 time: 0.1442 data: 0.0016 max mem: 31630 Test: [2500/2573] eta: 0:00:10 time: 0.1460 data: 0.0016 max mem: 31630 Test: Total time: 0:06:14 Final results: precision@0.5 = 48.08 precision@0.6 = 41.93 precision@0.7 = 34.74 precision@0.8 = 24.65 precision@0.9 = 9.60 overall IoU = 45.64 mean IoU = 43.31 Epoch: [6] [ 0/5278] eta: 6:45:36 lr: 4.319613197378513e-05 loss: 0.2075 (0.2075) loss_seg: 0.2062 (0.2062) loss_lansim: 0.1306 (0.1306) loss_contra: 0.0019 (0.0019) time: 4.6109 data: 1.6411 max mem: 31630 Epoch: [6] [ 10/5278] eta: 4:35:27 lr: 4.31939655535869e-05 loss: 0.1631 (0.1601) loss_seg: 0.1620 (0.1588) loss_lansim: 0.1237 (0.1264) loss_contra: 0.0019 (0.0046) time: 3.1374 data: 0.1555 max mem: 31630 Epoch: [6] [ 20/5278] eta: 4:28:50 lr: 4.319179912131547e-05 loss: 0.1335 (0.1469) loss_seg: 0.1322 (0.1456) loss_lansim: 0.1239 (0.1280) loss_contra: 0.0019 (0.0075) time: 3.0678 data: 0.0841 max mem: 31630 Epoch: [6] [ 30/5278] eta: 4:26:10 lr: 4.31896326769701e-05 loss: 0.1292 (0.1409) loss_seg: 0.1277 (0.1396) loss_lansim: 0.1269 (0.1282) loss_contra: 0.0019 (0.0067) time: 3.0431 data: 0.0590 max mem: 31630 Epoch: [6] [ 40/5278] eta: 4:25:17 lr: 4.3187466220550066e-05 loss: 0.1301 (0.1410) loss_seg: 0.1288 (0.1397) loss_lansim: 0.1269 (0.1275) loss_contra: 0.0019 (0.0062) time: 3.0388 data: 0.0462 max mem: 31630 Epoch: [6] [ 50/5278] eta: 4:24:35 lr: 4.3185299752054606e-05 loss: 0.1335 (0.1440) loss_seg: 0.1322 (0.1426) loss_lansim: 0.1290 (0.1292) loss_contra: 0.0020 (0.0095) time: 3.0367 data: 0.0384 max mem: 31630 Epoch: [6] [ 60/5278] eta: 4:23:03 lr: 4.3183133271483e-05 loss: 0.1408 (0.1469) loss_seg: 0.1395 (0.1455) loss_lansim: 0.1273 (0.1281) loss_contra: 0.0025 (0.0093) time: 3.0249 data: 0.0331 max mem: 31630 Epoch: [6] [ 70/5278] eta: 4:21:38 lr: 4.318096677883449e-05 loss: 0.1400 (0.1451) loss_seg: 0.1389 (0.1437) loss_lansim: 0.1264 (0.1263) loss_contra: 0.0020 (0.0083) time: 3.0144 data: 0.0294 max mem: 31630 Epoch: [6] [ 80/5278] eta: 4:20:56 lr: 4.317880027410834e-05 loss: 0.1400 (0.1463) loss_seg: 0.1389 (0.1450) loss_lansim: 0.1237 (0.1247) loss_contra: 0.0019 (0.0075) time: 3.0121 data: 0.0266 max mem: 31630 Epoch: [6] [ 90/5278] eta: 4:19:57 lr: 4.317663375730381e-05 loss: 0.1400 (0.1468) loss_seg: 0.1389 (0.1455) loss_lansim: 0.1216 (0.1230) loss_contra: 0.0020 (0.0106) time: 3.0065 data: 0.0243 max mem: 31630 Epoch: [6] [ 100/5278] eta: 4:18:56 lr: 4.317446722842017e-05 loss: 0.1363 (0.1456) loss_seg: 0.1350 (0.1443) loss_lansim: 0.1196 (0.1209) loss_contra: 0.0020 (0.0107) time: 2.9845 data: 0.0064 max mem: 31630 Epoch: [6] [ 110/5278] eta: 4:18:19 lr: 4.317230068745666e-05 loss: 0.1335 (0.1432) loss_seg: 0.1322 (0.1419) loss_lansim: 0.1166 (0.1193) loss_contra: 0.0019 (0.0102) time: 2.9839 data: 0.0063 max mem: 31630 Epoch: [6] [ 120/5278] eta: 4:17:54 lr: 4.3170134134412556e-05 loss: 0.1345 (0.1423) loss_seg: 0.1335 (0.1410) loss_lansim: 0.1127 (0.1179) loss_contra: 0.0020 (0.0099) time: 2.9858 data: 0.0063 max mem: 31630 Epoch: [6] [ 130/5278] eta: 4:17:13 lr: 4.316796756928712e-05 loss: 0.1400 (0.1433) loss_seg: 0.1389 (0.1421) loss_lansim: 0.1106 (0.1166) loss_contra: 0.0020 (0.0096) time: 2.9838 data: 0.0063 max mem: 31630 Epoch: [6] [ 140/5278] eta: 4:16:12 lr: 4.316580099207959e-05 loss: 0.1385 (0.1428) loss_seg: 0.1376 (0.1415) loss_lansim: 0.1080 (0.1154) loss_contra: 0.0020 (0.0091) time: 2.9727 data: 0.0063 max mem: 31630 Epoch: [6] [ 150/5278] eta: 4:15:56 lr: 4.316363440278923e-05 loss: 0.1345 (0.1420) loss_seg: 0.1335 (0.1407) loss_lansim: 0.1070 (0.1150) loss_contra: 0.0018 (0.0088) time: 2.9732 data: 0.0063 max mem: 31630 Epoch: [6] [ 160/5278] eta: 4:15:26 lr: 4.316146780141532e-05 loss: 0.1322 (0.1417) loss_seg: 0.1311 (0.1405) loss_lansim: 0.1024 (0.1141) loss_contra: 0.0018 (0.0090) time: 2.9763 data: 0.0063 max mem: 31630 Epoch: [6] [ 170/5278] eta: 4:14:35 lr: 4.3159301187957093e-05 loss: 0.1312 (0.1417) loss_seg: 0.1303 (0.1405) loss_lansim: 0.1018 (0.1136) loss_contra: 0.0018 (0.0089) time: 2.9734 data: 0.0062 max mem: 31630 Epoch: [6] [ 180/5278] eta: 4:13:43 lr: 4.315713456241382e-05 loss: 0.1322 (0.1427) loss_seg: 0.1311 (0.1415) loss_lansim: 0.1014 (0.1129) loss_contra: 0.0024 (0.0112) time: 2.9653 data: 0.0062 max mem: 31630 Epoch: [6] [ 190/5278] eta: 4:13:16 lr: 4.315496792478475e-05 loss: 0.1311 (0.1413) loss_seg: 0.1300 (0.1400) loss_lansim: 0.1010 (0.1124) loss_contra: 0.0018 (0.0108) time: 2.9687 data: 0.0062 max mem: 31630 Epoch: [6] [ 200/5278] eta: 4:12:43 lr: 4.315280127506916e-05 loss: 0.1281 (0.1398) loss_seg: 0.1264 (0.1386) loss_lansim: 0.1010 (0.1118) loss_contra: 0.0014 (0.0109) time: 2.9716 data: 0.0063 max mem: 31630 Epoch: [6] [ 210/5278] eta: 4:12:24 lr: 4.3150634613266294e-05 loss: 0.1342 (0.1421) loss_seg: 0.1332 (0.1409) loss_lansim: 0.1012 (0.1116) loss_contra: 0.0018 (0.0105) time: 2.9763 data: 0.0063 max mem: 31630 Epoch: [6] [ 220/5278] eta: 4:12:09 lr: 4.314846793937541e-05 loss: 0.1311 (0.1425) loss_seg: 0.1301 (0.1413) loss_lansim: 0.1015 (0.1114) loss_contra: 0.0011 (0.0104) time: 2.9804 data: 0.0063 max mem: 31630 Epoch: [6] [ 230/5278] eta: 4:11:34 lr: 4.3146301253395774e-05 loss: 0.1303 (0.1434) loss_seg: 0.1292 (0.1422) loss_lansim: 0.1019 (0.1113) loss_contra: 0.0011 (0.0108) time: 2.9803 data: 0.0063 max mem: 31630 Epoch: [6] [ 240/5278] eta: 4:11:11 lr: 4.314413455532664e-05 loss: 0.1342 (0.1445) loss_seg: 0.1332 (0.1433) loss_lansim: 0.1028 (0.1113) loss_contra: 0.0020 (0.0112) time: 2.9911 data: 0.0063 max mem: 31630 Epoch: [6] [ 250/5278] eta: 4:10:42 lr: 4.3141967845167257e-05 loss: 0.1374 (0.1445) loss_seg: 0.1362 (0.1433) loss_lansim: 0.1028 (0.1111) loss_contra: 0.0021 (0.0110) time: 2.9873 data: 0.0063 max mem: 31630 Epoch: [6] [ 260/5278] eta: 4:10:20 lr: 4.31398011229169e-05 loss: 0.1374 (0.1447) loss_seg: 0.1362 (0.1435) loss_lansim: 0.1038 (0.1113) loss_contra: 0.0021 (0.0113) time: 2.9909 data: 0.0063 max mem: 31630 Epoch: [6] [ 270/5278] eta: 4:09:44 lr: 4.313763438857481e-05 loss: 0.1374 (0.1443) loss_seg: 0.1362 (0.1431) loss_lansim: 0.1038 (0.1110) loss_contra: 0.0019 (0.0111) time: 2.9951 data: 0.0063 max mem: 31630 Epoch: [6] [ 280/5278] eta: 4:09:13 lr: 4.313546764214026e-05 loss: 0.1311 (0.1444) loss_seg: 0.1300 (0.1432) loss_lansim: 0.1050 (0.1109) loss_contra: 0.0015 (0.0109) time: 3.0022 data: 0.0063 max mem: 31630 Epoch: [6] [ 290/5278] eta: 4:08:50 lr: 4.31333008836125e-05 loss: 0.1355 (0.1438) loss_seg: 0.1344 (0.1426) loss_lansim: 0.1055 (0.1108) loss_contra: 0.0019 (0.0112) time: 3.0058 data: 0.0063 max mem: 31630 Epoch: [6] [ 300/5278] eta: 4:08:21 lr: 4.3131134112990784e-05 loss: 0.1374 (0.1434) loss_seg: 0.1362 (0.1422) loss_lansim: 0.1077 (0.1108) loss_contra: 0.0019 (0.0112) time: 3.0079 data: 0.0062 max mem: 31630 Epoch: [6] [ 310/5278] eta: 4:07:45 lr: 4.312896733027437e-05 loss: 0.1303 (0.1431) loss_seg: 0.1292 (0.1418) loss_lansim: 0.1077 (0.1105) loss_contra: 0.0022 (0.0118) time: 3.0005 data: 0.0062 max mem: 31630 Epoch: [6] [ 320/5278] eta: 4:07:19 lr: 4.3126800535462525e-05 loss: 0.1347 (0.1433) loss_seg: 0.1334 (0.1420) loss_lansim: 0.1057 (0.1103) loss_contra: 0.0023 (0.0132) time: 2.9969 data: 0.0063 max mem: 31630 Epoch: [6] [ 330/5278] eta: 4:06:50 lr: 4.3124633728554506e-05 loss: 0.1300 (0.1426) loss_seg: 0.1288 (0.1413) loss_lansim: 0.1055 (0.1100) loss_contra: 0.0023 (0.0135) time: 2.9998 data: 0.0063 max mem: 31630 Epoch: [6] [ 340/5278] eta: 4:06:20 lr: 4.3122466909549555e-05 loss: 0.1266 (0.1420) loss_seg: 0.1256 (0.1408) loss_lansim: 0.1047 (0.1099) loss_contra: 0.0023 (0.0151) time: 2.9975 data: 0.0063 max mem: 31630 Epoch: [6] [ 350/5278] eta: 4:05:58 lr: 4.3120300078446934e-05 loss: 0.1260 (0.1415) loss_seg: 0.1250 (0.1403) loss_lansim: 0.1038 (0.1097) loss_contra: 0.0023 (0.0150) time: 3.0029 data: 0.0063 max mem: 31630 Epoch: [6] [ 360/5278] eta: 4:05:32 lr: 4.311813323524591e-05 loss: 0.1240 (0.1409) loss_seg: 0.1230 (0.1397) loss_lansim: 0.1036 (0.1097) loss_contra: 0.0022 (0.0149) time: 3.0016 data: 0.0063 max mem: 31630 Epoch: [6] [ 370/5278] eta: 4:04:55 lr: 4.311596637994574e-05 loss: 0.1257 (0.1411) loss_seg: 0.1240 (0.1398) loss_lansim: 0.1036 (0.1096) loss_contra: 0.0026 (0.0154) time: 2.9999 data: 0.0064 max mem: 31630 Epoch: [6] [ 380/5278] eta: 4:04:26 lr: 4.311379951254566e-05 loss: 0.1257 (0.1407) loss_seg: 0.1240 (0.1395) loss_lansim: 0.1035 (0.1094) loss_contra: 0.0025 (0.0152) time: 3.0012 data: 0.0065 max mem: 31630 Epoch: [6] [ 390/5278] eta: 4:03:58 lr: 4.311163263304495e-05 loss: 0.1249 (0.1404) loss_seg: 0.1239 (0.1392) loss_lansim: 0.1035 (0.1092) loss_contra: 0.0025 (0.0149) time: 2.9996 data: 0.0065 max mem: 31630 Epoch: [6] [ 400/5278] eta: 4:03:29 lr: 4.310946574144286e-05 loss: 0.1239 (0.1397) loss_seg: 0.1230 (0.1385) loss_lansim: 0.1021 (0.1091) loss_contra: 0.0026 (0.0148) time: 3.0002 data: 0.0064 max mem: 31630 Epoch: [6] [ 410/5278] eta: 4:02:57 lr: 4.310729883773864e-05 loss: 0.1226 (0.1399) loss_seg: 0.1216 (0.1387) loss_lansim: 0.1021 (0.1089) loss_contra: 0.0023 (0.0145) time: 3.0021 data: 0.0064 max mem: 31630 Epoch: [6] [ 420/5278] eta: 4:02:29 lr: 4.310513192193155e-05 loss: 0.1237 (0.1399) loss_seg: 0.1228 (0.1387) loss_lansim: 0.1021 (0.1086) loss_contra: 0.0020 (0.0143) time: 3.0014 data: 0.0064 max mem: 31630 Epoch: [6] [ 430/5278] eta: 4:01:53 lr: 4.310296499402085e-05 loss: 0.1241 (0.1405) loss_seg: 0.1230 (0.1393) loss_lansim: 0.1025 (0.1086) loss_contra: 0.0016 (0.0146) time: 2.9959 data: 0.0063 max mem: 31630 Epoch: [6] [ 440/5278] eta: 4:01:29 lr: 4.31007980540058e-05 loss: 0.1263 (0.1406) loss_seg: 0.1252 (0.1394) loss_lansim: 0.1018 (0.1084) loss_contra: 0.0020 (0.0146) time: 3.0001 data: 0.0063 max mem: 31630 Epoch: [6] [ 450/5278] eta: 4:00:59 lr: 4.309863110188564e-05 loss: 0.1301 (0.1413) loss_seg: 0.1291 (0.1401) loss_lansim: 0.1025 (0.1083) loss_contra: 0.0023 (0.0147) time: 2.9951 data: 0.0063 max mem: 31630 Epoch: [6] [ 460/5278] eta: 4:00:28 lr: 4.3096464137659643e-05 loss: 0.1330 (0.1415) loss_seg: 0.1319 (0.1403) loss_lansim: 0.1013 (0.1081) loss_contra: 0.0027 (0.0145) time: 2.9918 data: 0.0062 max mem: 31630 Epoch: [6] [ 470/5278] eta: 4:00:01 lr: 4.309429716132705e-05 loss: 0.1301 (0.1412) loss_seg: 0.1291 (0.1400) loss_lansim: 0.0998 (0.1079) loss_contra: 0.0023 (0.0143) time: 2.9994 data: 0.0061 max mem: 31630 Epoch: [6] [ 480/5278] eta: 3:59:31 lr: 4.309213017288713e-05 loss: 0.1381 (0.1420) loss_seg: 0.1371 (0.1407) loss_lansim: 0.0989 (0.1077) loss_contra: 0.0023 (0.0141) time: 2.9986 data: 0.0060 max mem: 31630 Epoch: [6] [ 490/5278] eta: 3:59:02 lr: 4.3089963172339134e-05 loss: 0.1441 (0.1426) loss_seg: 0.1430 (0.1414) loss_lansim: 0.0986 (0.1075) loss_contra: 0.0017 (0.0139) time: 2.9975 data: 0.0061 max mem: 31630 Epoch: [6] [ 500/5278] eta: 3:58:32 lr: 4.308779615968232e-05 loss: 0.1502 (0.1429) loss_seg: 0.1492 (0.1417) loss_lansim: 0.0980 (0.1072) loss_contra: 0.0017 (0.0140) time: 2.9969 data: 0.0061 max mem: 31630 Epoch: [6] [ 510/5278] eta: 3:58:08 lr: 4.308562913491594e-05 loss: 0.1514 (0.1430) loss_seg: 0.1502 (0.1418) loss_lansim: 0.0979 (0.1070) loss_contra: 0.0019 (0.0140) time: 3.0051 data: 0.0061 max mem: 31630 Epoch: [6] [ 520/5278] eta: 3:57:37 lr: 4.308346209803925e-05 loss: 0.1531 (0.1433) loss_seg: 0.1520 (0.1421) loss_lansim: 0.0979 (0.1067) loss_contra: 0.0020 (0.0138) time: 3.0034 data: 0.0062 max mem: 31630 Epoch: [6] [ 530/5278] eta: 3:57:09 lr: 4.3081295049051505e-05 loss: 0.1502 (0.1433) loss_seg: 0.1492 (0.1421) loss_lansim: 0.0975 (0.1065) loss_contra: 0.0023 (0.0139) time: 3.0106 data: 0.0062 max mem: 31630 Epoch: [6] [ 540/5278] eta: 3:56:43 lr: 4.307912798795196e-05 loss: 0.1479 (0.1430) loss_seg: 0.1467 (0.1418) loss_lansim: 0.0959 (0.1062) loss_contra: 0.0024 (0.0146) time: 3.0109 data: 0.0062 max mem: 31630 Epoch: [6] [ 550/5278] eta: 3:56:14 lr: 4.307696091473988e-05 loss: 0.1434 (0.1427) loss_seg: 0.1424 (0.1415) loss_lansim: 0.0943 (0.1061) loss_contra: 0.0020 (0.0151) time: 3.0121 data: 0.0062 max mem: 31630 Epoch: [6] [ 560/5278] eta: 3:55:43 lr: 4.30747938294145e-05 loss: 0.1462 (0.1428) loss_seg: 0.1453 (0.1415) loss_lansim: 0.0943 (0.1059) loss_contra: 0.0019 (0.0149) time: 3.0124 data: 0.0062 max mem: 31630 Epoch: [6] [ 570/5278] eta: 3:55:16 lr: 4.3072626731975105e-05 loss: 0.1494 (0.1431) loss_seg: 0.1483 (0.1419) loss_lansim: 0.0948 (0.1060) loss_contra: 0.0022 (0.0151) time: 3.0124 data: 0.0062 max mem: 31630 Epoch: [6] [ 580/5278] eta: 3:54:48 lr: 4.307045962242092e-05 loss: 0.1408 (0.1428) loss_seg: 0.1399 (0.1416) loss_lansim: 0.0977 (0.1060) loss_contra: 0.0031 (0.0153) time: 3.0160 data: 0.0062 max mem: 31630 Epoch: [6] [ 590/5278] eta: 3:54:14 lr: 4.3068292500751215e-05 loss: 0.1384 (0.1429) loss_seg: 0.1374 (0.1416) loss_lansim: 0.0994 (0.1060) loss_contra: 0.0036 (0.0154) time: 3.0111 data: 0.0061 max mem: 31630 Epoch: [6] [ 600/5278] eta: 3:53:48 lr: 4.306612536696524e-05 loss: 0.1350 (0.1430) loss_seg: 0.1327 (0.1417) loss_lansim: 0.1005 (0.1062) loss_contra: 0.0036 (0.0154) time: 3.0152 data: 0.0061 max mem: 31630 Epoch: [6] [ 610/5278] eta: 3:53:20 lr: 4.306395822106225e-05 loss: 0.1384 (0.1431) loss_seg: 0.1374 (0.1419) loss_lansim: 0.1019 (0.1063) loss_contra: 0.0042 (0.0154) time: 3.0129 data: 0.0061 max mem: 31630 Epoch: [6] [ 620/5278] eta: 3:52:52 lr: 4.3061791063041515e-05 loss: 0.1350 (0.1431) loss_seg: 0.1332 (0.1419) loss_lansim: 0.1024 (0.1064) loss_contra: 0.0045 (0.0154) time: 3.0156 data: 0.0060 max mem: 31630 Epoch: [6] [ 630/5278] eta: 3:52:21 lr: 4.305962389290226e-05 loss: 0.1398 (0.1435) loss_seg: 0.1387 (0.1422) loss_lansim: 0.1039 (0.1064) loss_contra: 0.0045 (0.0154) time: 3.0122 data: 0.0061 max mem: 31630 Epoch: [6] [ 640/5278] eta: 3:51:51 lr: 4.305745671064377e-05 loss: 0.1415 (0.1435) loss_seg: 0.1405 (0.1423) loss_lansim: 0.1052 (0.1064) loss_contra: 0.0044 (0.0154) time: 3.0082 data: 0.0061 max mem: 31630 Epoch: [6] [ 650/5278] eta: 3:51:17 lr: 4.305528951626528e-05 loss: 0.1450 (0.1434) loss_seg: 0.1440 (0.1422) loss_lansim: 0.1057 (0.1064) loss_contra: 0.0041 (0.0158) time: 3.0016 data: 0.0062 max mem: 31630 Epoch: [6] [ 660/5278] eta: 3:50:46 lr: 4.305312230976605e-05 loss: 0.1415 (0.1435) loss_seg: 0.1405 (0.1423) loss_lansim: 0.1075 (0.1065) loss_contra: 0.0037 (0.0156) time: 3.0017 data: 0.0062 max mem: 31630 Epoch: [6] [ 670/5278] eta: 3:50:15 lr: 4.3050955091145335e-05 loss: 0.1415 (0.1435) loss_seg: 0.1405 (0.1423) loss_lansim: 0.1066 (0.1065) loss_contra: 0.0037 (0.0156) time: 2.9977 data: 0.0062 max mem: 31630 Epoch: [6] [ 680/5278] eta: 3:49:42 lr: 4.3048787860402385e-05 loss: 0.1419 (0.1433) loss_seg: 0.1407 (0.1421) loss_lansim: 0.1082 (0.1066) loss_contra: 0.0041 (0.0158) time: 2.9905 data: 0.0063 max mem: 31630 Epoch: [6] [ 690/5278] eta: 3:49:10 lr: 4.304662061753646e-05 loss: 0.1419 (0.1437) loss_seg: 0.1407 (0.1425) loss_lansim: 0.1083 (0.1066) loss_contra: 0.0033 (0.0156) time: 2.9910 data: 0.0063 max mem: 31630 Epoch: [6] [ 700/5278] eta: 3:48:40 lr: 4.304445336254681e-05 loss: 0.1414 (0.1437) loss_seg: 0.1404 (0.1425) loss_lansim: 0.1088 (0.1067) loss_contra: 0.0040 (0.0156) time: 2.9872 data: 0.0062 max mem: 31630 Epoch: [6] [ 710/5278] eta: 3:48:07 lr: 4.3042286095432696e-05 loss: 0.1400 (0.1438) loss_seg: 0.1389 (0.1426) loss_lansim: 0.1087 (0.1068) loss_contra: 0.0033 (0.0155) time: 2.9789 data: 0.0062 max mem: 31630 Epoch: [6] [ 720/5278] eta: 3:47:33 lr: 4.3040118816193356e-05 loss: 0.1399 (0.1436) loss_seg: 0.1388 (0.1424) loss_lansim: 0.1088 (0.1069) loss_contra: 0.0028 (0.0155) time: 2.9700 data: 0.0062 max mem: 31630 Epoch: [6] [ 730/5278] eta: 3:47:02 lr: 4.303795152482807e-05 loss: 0.1400 (0.1438) loss_seg: 0.1389 (0.1426) loss_lansim: 0.1098 (0.1071) loss_contra: 0.0028 (0.0154) time: 2.9700 data: 0.0062 max mem: 31630 Epoch: [6] [ 740/5278] eta: 3:46:32 lr: 4.303578422133606e-05 loss: 0.1393 (0.1438) loss_seg: 0.1381 (0.1425) loss_lansim: 0.1108 (0.1072) loss_contra: 0.0028 (0.0153) time: 2.9685 data: 0.0062 max mem: 31630 Epoch: [6] [ 750/5278] eta: 3:45:57 lr: 4.30336169057166e-05 loss: 0.1393 (0.1439) loss_seg: 0.1381 (0.1426) loss_lansim: 0.1122 (0.1073) loss_contra: 0.0033 (0.0155) time: 2.9644 data: 0.0061 max mem: 31630 Epoch: [6] [ 760/5278] eta: 3:45:28 lr: 4.3031449577968944e-05 loss: 0.1392 (0.1437) loss_seg: 0.1380 (0.1424) loss_lansim: 0.1105 (0.1073) loss_contra: 0.0040 (0.0154) time: 2.9666 data: 0.0061 max mem: 31630 Epoch: [6] [ 770/5278] eta: 3:44:59 lr: 4.302928223809233e-05 loss: 0.1361 (0.1438) loss_seg: 0.1348 (0.1426) loss_lansim: 0.1106 (0.1072) loss_contra: 0.0033 (0.0162) time: 2.9699 data: 0.0061 max mem: 31630 Epoch: [6] [ 780/5278] eta: 3:44:30 lr: 4.302711488608604e-05 loss: 0.1392 (0.1437) loss_seg: 0.1380 (0.1425) loss_lansim: 0.1095 (0.1070) loss_contra: 0.0035 (0.0163) time: 2.9762 data: 0.0061 max mem: 31630 Epoch: [6] [ 790/5278] eta: 3:44:01 lr: 4.302494752194929e-05 loss: 0.1339 (0.1435) loss_seg: 0.1325 (0.1423) loss_lansim: 0.1084 (0.1068) loss_contra: 0.0041 (0.0165) time: 2.9807 data: 0.0061 max mem: 31630 Epoch: [6] [ 800/5278] eta: 3:43:33 lr: 4.3022780145681355e-05 loss: 0.1407 (0.1439) loss_seg: 0.1395 (0.1426) loss_lansim: 0.1045 (0.1066) loss_contra: 0.0041 (0.0166) time: 2.9831 data: 0.0061 max mem: 31630 Epoch: [6] [ 810/5278] eta: 3:43:02 lr: 4.302061275728149e-05 loss: 0.1407 (0.1439) loss_seg: 0.1395 (0.1427) loss_lansim: 0.1024 (0.1065) loss_contra: 0.0043 (0.0164) time: 2.9862 data: 0.0061 max mem: 31630 Epoch: [6] [ 820/5278] eta: 3:42:32 lr: 4.301844535674894e-05 loss: 0.1407 (0.1439) loss_seg: 0.1395 (0.1427) loss_lansim: 0.1004 (0.1063) loss_contra: 0.0044 (0.0163) time: 2.9923 data: 0.0061 max mem: 31630 Epoch: [6] [ 830/5278] eta: 3:42:05 lr: 4.301627794408297e-05 loss: 0.1351 (0.1436) loss_seg: 0.1341 (0.1424) loss_lansim: 0.0976 (0.1061) loss_contra: 0.0051 (0.0170) time: 2.9995 data: 0.0060 max mem: 31630 Epoch: [6] [ 840/5278] eta: 3:41:36 lr: 4.301411051928281e-05 loss: 0.1358 (0.1436) loss_seg: 0.1350 (0.1424) loss_lansim: 0.0964 (0.1060) loss_contra: 0.0044 (0.0168) time: 3.0012 data: 0.0060 max mem: 31630 Epoch: [6] [ 850/5278] eta: 3:41:07 lr: 4.3011943082347735e-05 loss: 0.1358 (0.1436) loss_seg: 0.1350 (0.1424) loss_lansim: 0.0946 (0.1059) loss_contra: 0.0041 (0.0167) time: 3.0123 data: 0.0061 max mem: 31630 Epoch: [6] [ 860/5278] eta: 3:40:39 lr: 4.300977563327699e-05 loss: 0.1367 (0.1441) loss_seg: 0.1356 (0.1428) loss_lansim: 0.0951 (0.1059) loss_contra: 0.0041 (0.0167) time: 3.0154 data: 0.0061 max mem: 31630 Epoch: [6] [ 870/5278] eta: 3:40:12 lr: 4.300760817206982e-05 loss: 0.1351 (0.1438) loss_seg: 0.1341 (0.1426) loss_lansim: 0.0964 (0.1059) loss_contra: 0.0043 (0.0166) time: 3.0187 data: 0.0061 max mem: 31630 Epoch: [6] [ 880/5278] eta: 3:39:42 lr: 4.300544069872548e-05 loss: 0.1328 (0.1437) loss_seg: 0.1318 (0.1425) loss_lansim: 0.0976 (0.1059) loss_contra: 0.0040 (0.0170) time: 3.0161 data: 0.0060 max mem: 31630 Epoch: [6] [ 890/5278] eta: 3:39:12 lr: 4.3003273213243236e-05 loss: 0.1309 (0.1435) loss_seg: 0.1300 (0.1422) loss_lansim: 0.0987 (0.1059) loss_contra: 0.0038 (0.0170) time: 3.0160 data: 0.0060 max mem: 31630 Epoch: [6] [ 900/5278] eta: 3:38:45 lr: 4.300110571562232e-05 loss: 0.1289 (0.1433) loss_seg: 0.1278 (0.1421) loss_lansim: 0.0985 (0.1058) loss_contra: 0.0027 (0.0168) time: 3.0190 data: 0.0060 max mem: 31630 Epoch: [6] [ 910/5278] eta: 3:38:15 lr: 4.2998938205862e-05 loss: 0.1261 (0.1431) loss_seg: 0.1247 (0.1419) loss_lansim: 0.0988 (0.1057) loss_contra: 0.0032 (0.0167) time: 3.0217 data: 0.0060 max mem: 31630 Epoch: [6] [ 920/5278] eta: 3:37:45 lr: 4.2996770683961527e-05 loss: 0.1259 (0.1431) loss_seg: 0.1242 (0.1418) loss_lansim: 0.0990 (0.1057) loss_contra: 0.0040 (0.0167) time: 3.0221 data: 0.0060 max mem: 31630 Epoch: [6] [ 930/5278] eta: 3:37:16 lr: 4.299460314992015e-05 loss: 0.1259 (0.1434) loss_seg: 0.1247 (0.1421) loss_lansim: 0.0996 (0.1056) loss_contra: 0.0035 (0.0166) time: 3.0187 data: 0.0060 max mem: 31630 Epoch: [6] [ 940/5278] eta: 3:36:46 lr: 4.299243560373711e-05 loss: 0.1253 (0.1436) loss_seg: 0.1242 (0.1424) loss_lansim: 0.1002 (0.1056) loss_contra: 0.0041 (0.0165) time: 3.0184 data: 0.0060 max mem: 31630 Epoch: [6] [ 950/5278] eta: 3:36:18 lr: 4.299026804541168e-05 loss: 0.1253 (0.1439) loss_seg: 0.1242 (0.1426) loss_lansim: 0.1002 (0.1055) loss_contra: 0.0044 (0.0165) time: 3.0194 data: 0.0059 max mem: 31630 Epoch: [6] [ 960/5278] eta: 3:35:50 lr: 4.2988100474943086e-05 loss: 0.1253 (0.1439) loss_seg: 0.1242 (0.1427) loss_lansim: 0.1019 (0.1056) loss_contra: 0.0040 (0.0163) time: 3.0194 data: 0.0059 max mem: 31630 Epoch: [6] [ 970/5278] eta: 3:35:21 lr: 4.298593289233061e-05 loss: 0.1289 (0.1441) loss_seg: 0.1278 (0.1429) loss_lansim: 0.1019 (0.1056) loss_contra: 0.0025 (0.0162) time: 3.0176 data: 0.0061 max mem: 31630 Epoch: [6] [ 980/5278] eta: 3:34:55 lr: 4.2983765297573467e-05 loss: 0.1297 (0.1441) loss_seg: 0.1288 (0.1428) loss_lansim: 0.1023 (0.1056) loss_contra: 0.0024 (0.0163) time: 3.0270 data: 0.0062 max mem: 31630 Epoch: [6] [ 990/5278] eta: 3:34:24 lr: 4.298159769067095e-05 loss: 0.1314 (0.1442) loss_seg: 0.1303 (0.1430) loss_lansim: 0.1009 (0.1056) loss_contra: 0.0030 (0.0162) time: 3.0260 data: 0.0063 max mem: 31630 Epoch: [6] [1000/5278] eta: 3:33:56 lr: 4.297943007162228e-05 loss: 0.1365 (0.1444) loss_seg: 0.1351 (0.1431) loss_lansim: 0.1026 (0.1055) loss_contra: 0.0039 (0.0166) time: 3.0235 data: 0.0064 max mem: 31630 Epoch: [6] [1010/5278] eta: 3:33:29 lr: 4.2977262440426716e-05 loss: 0.1408 (0.1443) loss_seg: 0.1395 (0.1431) loss_lansim: 0.1031 (0.1055) loss_contra: 0.0042 (0.0169) time: 3.0296 data: 0.0066 max mem: 31630 Epoch: [6] [1020/5278] eta: 3:32:58 lr: 4.297509479708351e-05 loss: 0.1435 (0.1445) loss_seg: 0.1424 (0.1433) loss_lansim: 0.1036 (0.1056) loss_contra: 0.0040 (0.0169) time: 3.0288 data: 0.0067 max mem: 31630 Epoch: [6] [1030/5278] eta: 3:32:31 lr: 4.2972927141591915e-05 loss: 0.1409 (0.1443) loss_seg: 0.1395 (0.1431) loss_lansim: 0.1036 (0.1055) loss_contra: 0.0039 (0.0169) time: 3.0335 data: 0.0068 max mem: 31630 Epoch: [6] [1040/5278] eta: 3:32:02 lr: 4.297075947395118e-05 loss: 0.1435 (0.1443) loss_seg: 0.1424 (0.1431) loss_lansim: 0.1035 (0.1054) loss_contra: 0.0038 (0.0169) time: 3.0356 data: 0.0068 max mem: 31630 Epoch: [6] [1050/5278] eta: 3:31:33 lr: 4.296859179416056e-05 loss: 0.1416 (0.1445) loss_seg: 0.1407 (0.1433) loss_lansim: 0.1034 (0.1054) loss_contra: 0.0042 (0.0169) time: 3.0369 data: 0.0068 max mem: 31630 Epoch: [6] [1060/5278] eta: 3:31:03 lr: 4.2966424102219294e-05 loss: 0.1435 (0.1448) loss_seg: 0.1424 (0.1435) loss_lansim: 0.1025 (0.1053) loss_contra: 0.0046 (0.0169) time: 3.0323 data: 0.0069 max mem: 31630 Epoch: [6] [1070/5278] eta: 3:30:35 lr: 4.296425639812666e-05 loss: 0.1436 (0.1448) loss_seg: 0.1425 (0.1435) loss_lansim: 0.1020 (0.1053) loss_contra: 0.0061 (0.0170) time: 3.0337 data: 0.0068 max mem: 31630 Epoch: [6] [1080/5278] eta: 3:30:07 lr: 4.2962088681881865e-05 loss: 0.1451 (0.1450) loss_seg: 0.1439 (0.1438) loss_lansim: 0.1031 (0.1053) loss_contra: 0.0055 (0.0169) time: 3.0317 data: 0.0067 max mem: 31630 Epoch: [6] [1090/5278] eta: 3:29:38 lr: 4.29599209534842e-05 loss: 0.1470 (0.1453) loss_seg: 0.1458 (0.1441) loss_lansim: 0.1035 (0.1053) loss_contra: 0.0049 (0.0170) time: 3.0358 data: 0.0066 max mem: 31630 Epoch: [6] [1100/5278] eta: 3:29:10 lr: 4.29577532129329e-05 loss: 0.1443 (0.1451) loss_seg: 0.1428 (0.1439) loss_lansim: 0.1033 (0.1053) loss_contra: 0.0045 (0.0169) time: 3.0388 data: 0.0065 max mem: 31630 Epoch: [6] [1110/5278] eta: 3:28:40 lr: 4.295558546022721e-05 loss: 0.1444 (0.1451) loss_seg: 0.1431 (0.1439) loss_lansim: 0.1029 (0.1053) loss_contra: 0.0038 (0.0171) time: 3.0325 data: 0.0064 max mem: 31630 Epoch: [6] [1120/5278] eta: 3:28:13 lr: 4.295341769536639e-05 loss: 0.1460 (0.1452) loss_seg: 0.1444 (0.1440) loss_lansim: 0.1026 (0.1053) loss_contra: 0.0037 (0.0171) time: 3.0422 data: 0.0064 max mem: 31630 Epoch: [6] [1130/5278] eta: 3:27:45 lr: 4.295124991834968e-05 loss: 0.1479 (0.1451) loss_seg: 0.1468 (0.1439) loss_lansim: 0.1017 (0.1053) loss_contra: 0.0038 (0.0172) time: 3.0402 data: 0.0063 max mem: 31630 Epoch: [6] [1140/5278] eta: 3:27:13 lr: 4.294908212917634e-05 loss: 0.1460 (0.1452) loss_seg: 0.1444 (0.1440) loss_lansim: 0.1029 (0.1053) loss_contra: 0.0042 (0.0171) time: 3.0343 data: 0.0064 max mem: 31630 Epoch: [6] [1150/5278] eta: 3:26:42 lr: 4.2946914327845626e-05 loss: 0.1495 (0.1454) loss_seg: 0.1485 (0.1441) loss_lansim: 0.1042 (0.1053) loss_contra: 0.0037 (0.0171) time: 3.0265 data: 0.0065 max mem: 31630 Epoch: [6] [1160/5278] eta: 3:26:10 lr: 4.294474651435677e-05 loss: 0.1430 (0.1451) loss_seg: 0.1420 (0.1439) loss_lansim: 0.1050 (0.1053) loss_contra: 0.0037 (0.0171) time: 3.0233 data: 0.0065 max mem: 31630 Epoch: [6] [1170/5278] eta: 3:25:39 lr: 4.294257868870903e-05 loss: 0.1382 (0.1450) loss_seg: 0.1372 (0.1438) loss_lansim: 0.1062 (0.1053) loss_contra: 0.0036 (0.0172) time: 3.0156 data: 0.0065 max mem: 31630 Epoch: [6] [1180/5278] eta: 3:25:08 lr: 4.294041085090165e-05 loss: 0.1320 (0.1449) loss_seg: 0.1306 (0.1437) loss_lansim: 0.1053 (0.1054) loss_contra: 0.0044 (0.0172) time: 3.0067 data: 0.0065 max mem: 31630 Epoch: [6] [1190/5278] eta: 3:24:37 lr: 4.293824300093389e-05 loss: 0.1280 (0.1449) loss_seg: 0.1270 (0.1437) loss_lansim: 0.1065 (0.1054) loss_contra: 0.0044 (0.0172) time: 3.0011 data: 0.0066 max mem: 31630 Epoch: [6] [1200/5278] eta: 3:24:05 lr: 4.2936075138805006e-05 loss: 0.1280 (0.1448) loss_seg: 0.1270 (0.1436) loss_lansim: 0.1072 (0.1054) loss_contra: 0.0052 (0.0172) time: 2.9908 data: 0.0066 max mem: 31630 Epoch: [6] [1210/5278] eta: 3:23:34 lr: 4.2933907264514225e-05 loss: 0.1262 (0.1447) loss_seg: 0.1251 (0.1435) loss_lansim: 0.1074 (0.1054) loss_contra: 0.0048 (0.0171) time: 2.9867 data: 0.0067 max mem: 31630 Epoch: [6] [1220/5278] eta: 3:23:03 lr: 4.2931739378060804e-05 loss: 0.1222 (0.1446) loss_seg: 0.1204 (0.1434) loss_lansim: 0.1072 (0.1054) loss_contra: 0.0044 (0.0171) time: 2.9756 data: 0.0067 max mem: 31630 Epoch: [6] [1230/5278] eta: 3:22:33 lr: 4.292957147944401e-05 loss: 0.1228 (0.1448) loss_seg: 0.1216 (0.1435) loss_lansim: 0.1076 (0.1055) loss_contra: 0.0045 (0.0171) time: 2.9696 data: 0.0068 max mem: 31630 Epoch: [6] [1240/5278] eta: 3:22:01 lr: 4.2927403568663064e-05 loss: 0.1257 (0.1447) loss_seg: 0.1245 (0.1434) loss_lansim: 0.1085 (0.1056) loss_contra: 0.0040 (0.0169) time: 2.9686 data: 0.0068 max mem: 31630 Epoch: [6] [1250/5278] eta: 3:21:30 lr: 4.292523564571724e-05 loss: 0.1257 (0.1448) loss_seg: 0.1245 (0.1436) loss_lansim: 0.1079 (0.1056) loss_contra: 0.0037 (0.0169) time: 2.9682 data: 0.0067 max mem: 31630 Epoch: [6] [1260/5278] eta: 3:20:59 lr: 4.2923067710605774e-05 loss: 0.1283 (0.1447) loss_seg: 0.1271 (0.1435) loss_lansim: 0.1079 (0.1056) loss_contra: 0.0032 (0.0168) time: 2.9689 data: 0.0068 max mem: 31630 Epoch: [6] [1270/5278] eta: 3:20:28 lr: 4.292089976332791e-05 loss: 0.1283 (0.1445) loss_seg: 0.1271 (0.1433) loss_lansim: 0.1075 (0.1057) loss_contra: 0.0027 (0.0177) time: 2.9720 data: 0.0068 max mem: 31630 Epoch: [6] [1280/5278] eta: 3:20:00 lr: 4.2918731803882925e-05 loss: 0.1334 (0.1446) loss_seg: 0.1319 (0.1433) loss_lansim: 0.1079 (0.1057) loss_contra: 0.0027 (0.0179) time: 2.9797 data: 0.0067 max mem: 31630 Epoch: [6] [1290/5278] eta: 3:19:31 lr: 4.291656383227004e-05 loss: 0.1348 (0.1446) loss_seg: 0.1335 (0.1434) loss_lansim: 0.1086 (0.1058) loss_contra: 0.0032 (0.0180) time: 2.9849 data: 0.0067 max mem: 31630 Epoch: [6] [1300/5278] eta: 3:19:02 lr: 4.29143958484885e-05 loss: 0.1376 (0.1446) loss_seg: 0.1362 (0.1433) loss_lansim: 0.1088 (0.1059) loss_contra: 0.0032 (0.0180) time: 2.9922 data: 0.0067 max mem: 31630 Epoch: [6] [1310/5278] eta: 3:18:34 lr: 4.291222785253757e-05 loss: 0.1348 (0.1444) loss_seg: 0.1335 (0.1432) loss_lansim: 0.1098 (0.1060) loss_contra: 0.0032 (0.0179) time: 3.0029 data: 0.0067 max mem: 31630 Epoch: [6] [1320/5278] eta: 3:18:04 lr: 4.291005984441649e-05 loss: 0.1385 (0.1445) loss_seg: 0.1367 (0.1433) loss_lansim: 0.1110 (0.1060) loss_contra: 0.0040 (0.0180) time: 3.0068 data: 0.0066 max mem: 31630 Epoch: [6] [1330/5278] eta: 3:17:34 lr: 4.290789182412453e-05 loss: 0.1342 (0.1443) loss_seg: 0.1329 (0.1431) loss_lansim: 0.1115 (0.1061) loss_contra: 0.0034 (0.0180) time: 3.0072 data: 0.0066 max mem: 31630 Epoch: [6] [1340/5278] eta: 3:17:05 lr: 4.290572379166091e-05 loss: 0.1348 (0.1443) loss_seg: 0.1335 (0.1430) loss_lansim: 0.1121 (0.1062) loss_contra: 0.0043 (0.0179) time: 3.0176 data: 0.0066 max mem: 31630 Epoch: [6] [1350/5278] eta: 3:16:35 lr: 4.290355574702488e-05 loss: 0.1342 (0.1444) loss_seg: 0.1329 (0.1431) loss_lansim: 0.1120 (0.1061) loss_contra: 0.0043 (0.0178) time: 3.0207 data: 0.0066 max mem: 31630 Epoch: [6] [1360/5278] eta: 3:16:05 lr: 4.2901387690215714e-05 loss: 0.1385 (0.1445) loss_seg: 0.1367 (0.1432) loss_lansim: 0.1121 (0.1062) loss_contra: 0.0047 (0.0177) time: 3.0226 data: 0.0065 max mem: 31630 Epoch: [6] [1370/5278] eta: 3:15:35 lr: 4.2899219621232635e-05 loss: 0.1393 (0.1446) loss_seg: 0.1383 (0.1434) loss_lansim: 0.1124 (0.1062) loss_contra: 0.0043 (0.0177) time: 3.0252 data: 0.0065 max mem: 31630 Epoch: [6] [1380/5278] eta: 3:15:05 lr: 4.2897051540074894e-05 loss: 0.1393 (0.1447) loss_seg: 0.1380 (0.1434) loss_lansim: 0.1124 (0.1063) loss_contra: 0.0047 (0.0177) time: 3.0184 data: 0.0064 max mem: 31630 Epoch: [6] [1390/5278] eta: 3:14:34 lr: 4.2894883446741746e-05 loss: 0.1362 (0.1445) loss_seg: 0.1348 (0.1433) loss_lansim: 0.1108 (0.1063) loss_contra: 0.0030 (0.0177) time: 3.0119 data: 0.0064 max mem: 31630 Epoch: [6] [1400/5278] eta: 3:14:03 lr: 4.289271534123244e-05 loss: 0.1385 (0.1446) loss_seg: 0.1375 (0.1433) loss_lansim: 0.1084 (0.1062) loss_contra: 0.0026 (0.0176) time: 3.0091 data: 0.0064 max mem: 31630 Epoch: [6] [1410/5278] eta: 3:13:33 lr: 4.2890547223546226e-05 loss: 0.1437 (0.1447) loss_seg: 0.1426 (0.1435) loss_lansim: 0.1079 (0.1063) loss_contra: 0.0026 (0.0176) time: 3.0005 data: 0.0064 max mem: 31630 Epoch: [6] [1420/5278] eta: 3:13:02 lr: 4.2888379093682335e-05 loss: 0.1437 (0.1447) loss_seg: 0.1426 (0.1435) loss_lansim: 0.1079 (0.1063) loss_contra: 0.0024 (0.0176) time: 2.9953 data: 0.0064 max mem: 31630 Epoch: [6] [1430/5278] eta: 3:12:32 lr: 4.288621095164003e-05 loss: 0.1446 (0.1448) loss_seg: 0.1435 (0.1436) loss_lansim: 0.1072 (0.1063) loss_contra: 0.0026 (0.0176) time: 2.9968 data: 0.0063 max mem: 31630 Epoch: [6] [1440/5278] eta: 3:12:02 lr: 4.2884042797418554e-05 loss: 0.1459 (0.1449) loss_seg: 0.1449 (0.1437) loss_lansim: 0.1068 (0.1063) loss_contra: 0.0015 (0.0175) time: 2.9927 data: 0.0063 max mem: 31630 Epoch: [6] [1450/5278] eta: 3:11:32 lr: 4.288187463101716e-05 loss: 0.1445 (0.1449) loss_seg: 0.1433 (0.1437) loss_lansim: 0.1060 (0.1063) loss_contra: 0.0014 (0.0174) time: 2.9910 data: 0.0062 max mem: 31630 Epoch: [6] [1460/5278] eta: 3:11:04 lr: 4.287970645243508e-05 loss: 0.1414 (0.1449) loss_seg: 0.1404 (0.1437) loss_lansim: 0.1067 (0.1063) loss_contra: 0.0014 (0.0173) time: 3.0019 data: 0.0063 max mem: 31630 Epoch: [6] [1470/5278] eta: 3:10:37 lr: 4.287753826167158e-05 loss: 0.1414 (0.1450) loss_seg: 0.1404 (0.1438) loss_lansim: 0.1060 (0.1063) loss_contra: 0.0021 (0.0174) time: 3.0110 data: 0.0063 max mem: 31630 Epoch: [6] [1480/5278] eta: 3:10:09 lr: 4.2875370058725896e-05 loss: 0.1392 (0.1449) loss_seg: 0.1384 (0.1437) loss_lansim: 0.1060 (0.1063) loss_contra: 0.0023 (0.0173) time: 3.0212 data: 0.0063 max mem: 31630 Epoch: [6] [1490/5278] eta: 3:09:41 lr: 4.287320184359728e-05 loss: 0.1392 (0.1448) loss_seg: 0.1384 (0.1436) loss_lansim: 0.1067 (0.1063) loss_contra: 0.0023 (0.0172) time: 3.0337 data: 0.0063 max mem: 31630 Epoch: [6] [1500/5278] eta: 3:09:14 lr: 4.287103361628497e-05 loss: 0.1384 (0.1447) loss_seg: 0.1371 (0.1435) loss_lansim: 0.1069 (0.1063) loss_contra: 0.0023 (0.0172) time: 3.0441 data: 0.0064 max mem: 31630 Epoch: [6] [1510/5278] eta: 3:08:45 lr: 4.2868865376788224e-05 loss: 0.1376 (0.1447) loss_seg: 0.1365 (0.1435) loss_lansim: 0.1067 (0.1064) loss_contra: 0.0025 (0.0172) time: 3.0505 data: 0.0063 max mem: 31630 Epoch: [6] [1520/5278] eta: 3:08:15 lr: 4.2866697125106284e-05 loss: 0.1358 (0.1448) loss_seg: 0.1348 (0.1436) loss_lansim: 0.1064 (0.1064) loss_contra: 0.0022 (0.0171) time: 3.0567 data: 0.0063 max mem: 31630 Epoch: [6] [1530/5278] eta: 3:07:46 lr: 4.2864528861238394e-05 loss: 0.1352 (0.1448) loss_seg: 0.1339 (0.1436) loss_lansim: 0.1067 (0.1064) loss_contra: 0.0020 (0.0171) time: 3.0599 data: 0.0064 max mem: 31630 Epoch: [6] [1540/5278] eta: 3:07:17 lr: 4.2862360585183806e-05 loss: 0.1347 (0.1448) loss_seg: 0.1335 (0.1435) loss_lansim: 0.1069 (0.1064) loss_contra: 0.0027 (0.0170) time: 3.0635 data: 0.0064 max mem: 31630 Epoch: [6] [1550/5278] eta: 3:06:48 lr: 4.2860192296941763e-05 loss: 0.1333 (0.1447) loss_seg: 0.1321 (0.1434) loss_lansim: 0.1073 (0.1065) loss_contra: 0.0029 (0.0170) time: 3.0717 data: 0.0064 max mem: 31630 Epoch: [6] [1560/5278] eta: 3:06:19 lr: 4.285802399651151e-05 loss: 0.1315 (0.1448) loss_seg: 0.1303 (0.1435) loss_lansim: 0.1069 (0.1065) loss_contra: 0.0036 (0.0169) time: 3.0663 data: 0.0063 max mem: 31630 Epoch: [6] [1570/5278] eta: 3:05:49 lr: 4.28558556838923e-05 loss: 0.1302 (0.1448) loss_seg: 0.1290 (0.1436) loss_lansim: 0.1073 (0.1065) loss_contra: 0.0027 (0.0169) time: 3.0556 data: 0.0063 max mem: 31630 Epoch: [6] [1580/5278] eta: 3:05:21 lr: 4.285368735908338e-05 loss: 0.1276 (0.1447) loss_seg: 0.1264 (0.1435) loss_lansim: 0.1073 (0.1065) loss_contra: 0.0022 (0.0168) time: 3.0563 data: 0.0064 max mem: 31630 Epoch: [6] [1590/5278] eta: 3:04:52 lr: 4.285151902208398e-05 loss: 0.1315 (0.1447) loss_seg: 0.1303 (0.1435) loss_lansim: 0.1080 (0.1065) loss_contra: 0.0024 (0.0169) time: 3.0525 data: 0.0063 max mem: 31630 Epoch: [6] [1600/5278] eta: 3:04:22 lr: 4.2849350672893355e-05 loss: 0.1347 (0.1448) loss_seg: 0.1335 (0.1435) loss_lansim: 0.1080 (0.1066) loss_contra: 0.0024 (0.0169) time: 3.0442 data: 0.0063 max mem: 31630 Epoch: [6] [1610/5278] eta: 3:03:52 lr: 4.284718231151076e-05 loss: 0.1359 (0.1448) loss_seg: 0.1347 (0.1436) loss_lansim: 0.1097 (0.1066) loss_contra: 0.0020 (0.0169) time: 3.0418 data: 0.0063 max mem: 31630 Epoch: [6] [1620/5278] eta: 3:03:22 lr: 4.284501393793544e-05 loss: 0.1316 (0.1447) loss_seg: 0.1303 (0.1435) loss_lansim: 0.1101 (0.1067) loss_contra: 0.0022 (0.0168) time: 3.0403 data: 0.0063 max mem: 31630 Epoch: [6] [1630/5278] eta: 3:02:54 lr: 4.284284555216663e-05 loss: 0.1329 (0.1448) loss_seg: 0.1317 (0.1435) loss_lansim: 0.1101 (0.1068) loss_contra: 0.0023 (0.0167) time: 3.0438 data: 0.0062 max mem: 31630 Epoch: [6] [1640/5278] eta: 3:02:24 lr: 4.2840677154203576e-05 loss: 0.1224 (0.1446) loss_seg: 0.1212 (0.1434) loss_lansim: 0.1101 (0.1069) loss_contra: 0.0020 (0.0167) time: 3.0428 data: 0.0063 max mem: 31630 Epoch: [6] [1650/5278] eta: 3:01:55 lr: 4.283850874404553e-05 loss: 0.1270 (0.1446) loss_seg: 0.1261 (0.1433) loss_lansim: 0.1115 (0.1070) loss_contra: 0.0016 (0.0166) time: 3.0404 data: 0.0063 max mem: 31630 Epoch: [6] [1660/5278] eta: 3:01:25 lr: 4.2836340321691734e-05 loss: 0.1274 (0.1447) loss_seg: 0.1262 (0.1434) loss_lansim: 0.1133 (0.1071) loss_contra: 0.0016 (0.0166) time: 3.0401 data: 0.0064 max mem: 31630 Epoch: [6] [1670/5278] eta: 3:00:57 lr: 4.283417188714144e-05 loss: 0.1329 (0.1448) loss_seg: 0.1316 (0.1435) loss_lansim: 0.1155 (0.1072) loss_contra: 0.0020 (0.0166) time: 3.0456 data: 0.0064 max mem: 31630 Epoch: [6] [1680/5278] eta: 3:00:27 lr: 4.2832003440393884e-05 loss: 0.1336 (0.1447) loss_seg: 0.1323 (0.1435) loss_lansim: 0.1179 (0.1073) loss_contra: 0.0024 (0.0168) time: 3.0408 data: 0.0063 max mem: 31630 Epoch: [6] [1690/5278] eta: 2:59:57 lr: 4.2829834981448315e-05 loss: 0.1330 (0.1447) loss_seg: 0.1317 (0.1434) loss_lansim: 0.1187 (0.1073) loss_contra: 0.0021 (0.0168) time: 3.0378 data: 0.0064 max mem: 31630 Epoch: [6] [1700/5278] eta: 2:59:28 lr: 4.282766651030399e-05 loss: 0.1330 (0.1447) loss_seg: 0.1316 (0.1435) loss_lansim: 0.1203 (0.1074) loss_contra: 0.0025 (0.0168) time: 3.0374 data: 0.0063 max mem: 31630 Epoch: [6] [1710/5278] eta: 2:58:58 lr: 4.282549802696012e-05 loss: 0.1287 (0.1447) loss_seg: 0.1274 (0.1434) loss_lansim: 0.1213 (0.1075) loss_contra: 0.0037 (0.0168) time: 3.0400 data: 0.0063 max mem: 31630 Epoch: [6] [1720/5278] eta: 2:58:29 lr: 4.2823329531415996e-05 loss: 0.1336 (0.1446) loss_seg: 0.1323 (0.1434) loss_lansim: 0.1210 (0.1075) loss_contra: 0.0029 (0.0168) time: 3.0418 data: 0.0063 max mem: 31630 Epoch: [6] [1730/5278] eta: 2:57:58 lr: 4.282116102367083e-05 loss: 0.1287 (0.1445) loss_seg: 0.1274 (0.1433) loss_lansim: 0.1209 (0.1076) loss_contra: 0.0037 (0.0168) time: 3.0314 data: 0.0063 max mem: 31630 Epoch: [6] [1740/5278] eta: 2:57:29 lr: 4.281899250372388e-05 loss: 0.1330 (0.1444) loss_seg: 0.1316 (0.1432) loss_lansim: 0.1209 (0.1077) loss_contra: 0.0041 (0.0168) time: 3.0329 data: 0.0063 max mem: 31630 Epoch: [6] [1750/5278] eta: 2:56:59 lr: 4.281682397157438e-05 loss: 0.1287 (0.1443) loss_seg: 0.1274 (0.1430) loss_lansim: 0.1194 (0.1077) loss_contra: 0.0046 (0.0168) time: 3.0324 data: 0.0063 max mem: 31630 Epoch: [6] [1760/5278] eta: 2:56:29 lr: 4.281465542722159e-05 loss: 0.1272 (0.1442) loss_seg: 0.1260 (0.1429) loss_lansim: 0.1187 (0.1077) loss_contra: 0.0041 (0.0168) time: 3.0295 data: 0.0062 max mem: 31630 Epoch: [6] [1770/5278] eta: 2:55:59 lr: 4.2812486870664745e-05 loss: 0.1246 (0.1441) loss_seg: 0.1233 (0.1429) loss_lansim: 0.1174 (0.1078) loss_contra: 0.0045 (0.0170) time: 3.0236 data: 0.0062 max mem: 31630 Epoch: [6] [1780/5278] eta: 2:55:29 lr: 4.281031830190309e-05 loss: 0.1245 (0.1441) loss_seg: 0.1231 (0.1429) loss_lansim: 0.1151 (0.1078) loss_contra: 0.0046 (0.0170) time: 3.0249 data: 0.0061 max mem: 31630 Epoch: [6] [1790/5278] eta: 2:55:02 lr: 4.280814972093587e-05 loss: 0.1233 (0.1440) loss_seg: 0.1218 (0.1428) loss_lansim: 0.1151 (0.1078) loss_contra: 0.0046 (0.0170) time: 3.0386 data: 0.0062 max mem: 31630 Epoch: [6] [1800/5278] eta: 2:54:35 lr: 4.280598112776233e-05 loss: 0.1215 (0.1441) loss_seg: 0.1202 (0.1428) loss_lansim: 0.1154 (0.1079) loss_contra: 0.0047 (0.0169) time: 3.0509 data: 0.0062 max mem: 31630 Epoch: [6] [1810/5278] eta: 2:54:06 lr: 4.280381252238171e-05 loss: 0.1208 (0.1441) loss_seg: 0.1196 (0.1429) loss_lansim: 0.1149 (0.1079) loss_contra: 0.0047 (0.0172) time: 3.0548 data: 0.0062 max mem: 31630 Epoch: [6] [1820/5278] eta: 2:53:38 lr: 4.280164390479326e-05 loss: 0.1193 (0.1441) loss_seg: 0.1183 (0.1428) loss_lansim: 0.1148 (0.1080) loss_contra: 0.0056 (0.0173) time: 3.0663 data: 0.0062 max mem: 31630 Epoch: [6] [1830/5278] eta: 2:53:09 lr: 4.2799475274996227e-05 loss: 0.1215 (0.1441) loss_seg: 0.1200 (0.1428) loss_lansim: 0.1137 (0.1080) loss_contra: 0.0056 (0.0174) time: 3.0748 data: 0.0062 max mem: 31630 Epoch: [6] [1840/5278] eta: 2:52:39 lr: 4.279730663298985e-05 loss: 0.1219 (0.1440) loss_seg: 0.1207 (0.1428) loss_lansim: 0.1131 (0.1080) loss_contra: 0.0056 (0.0174) time: 3.0738 data: 0.0063 max mem: 31630 Epoch: [6] [1850/5278] eta: 2:52:10 lr: 4.2795137978773365e-05 loss: 0.1222 (0.1440) loss_seg: 0.1208 (0.1427) loss_lansim: 0.1130 (0.1081) loss_contra: 0.0058 (0.0173) time: 3.0772 data: 0.0063 max mem: 31630 Epoch: [6] [1860/5278] eta: 2:51:40 lr: 4.279296931234603e-05 loss: 0.1231 (0.1440) loss_seg: 0.1217 (0.1427) loss_lansim: 0.1128 (0.1081) loss_contra: 0.0058 (0.0173) time: 3.0757 data: 0.0064 max mem: 31630 Epoch: [6] [1870/5278] eta: 2:51:10 lr: 4.279080063370708e-05 loss: 0.1236 (0.1440) loss_seg: 0.1225 (0.1427) loss_lansim: 0.1128 (0.1081) loss_contra: 0.0053 (0.0172) time: 3.0800 data: 0.0064 max mem: 31630 Epoch: [6] [1880/5278] eta: 2:50:41 lr: 4.278863194285576e-05 loss: 0.1261 (0.1440) loss_seg: 0.1248 (0.1427) loss_lansim: 0.1127 (0.1081) loss_contra: 0.0039 (0.0172) time: 3.0788 data: 0.0064 max mem: 31630 Epoch: [6] [1890/5278] eta: 2:50:10 lr: 4.2786463239791314e-05 loss: 0.1281 (0.1441) loss_seg: 0.1270 (0.1428) loss_lansim: 0.1097 (0.1080) loss_contra: 0.0043 (0.0172) time: 3.0620 data: 0.0064 max mem: 31630 Epoch: [6] [1900/5278] eta: 2:49:41 lr: 4.278429452451298e-05 loss: 0.1329 (0.1441) loss_seg: 0.1313 (0.1428) loss_lansim: 0.1086 (0.1080) loss_contra: 0.0043 (0.0171) time: 3.0520 data: 0.0063 max mem: 31630 Epoch: [6] [1910/5278] eta: 2:49:11 lr: 4.278212579702002e-05 loss: 0.1316 (0.1440) loss_seg: 0.1307 (0.1428) loss_lansim: 0.1083 (0.1080) loss_contra: 0.0037 (0.0172) time: 3.0466 data: 0.0063 max mem: 31630 Epoch: [6] [1920/5278] eta: 2:48:41 lr: 4.277995705731166e-05 loss: 0.1375 (0.1440) loss_seg: 0.1364 (0.1428) loss_lansim: 0.1062 (0.1080) loss_contra: 0.0028 (0.0172) time: 3.0331 data: 0.0064 max mem: 31630 Epoch: [6] [1930/5278] eta: 2:48:10 lr: 4.277778830538714e-05 loss: 0.1383 (0.1443) loss_seg: 0.1372 (0.1430) loss_lansim: 0.1057 (0.1080) loss_contra: 0.0028 (0.0173) time: 3.0287 data: 0.0064 max mem: 31630 Epoch: [6] [1940/5278] eta: 2:47:41 lr: 4.277561954124572e-05 loss: 0.1375 (0.1442) loss_seg: 0.1359 (0.1430) loss_lansim: 0.1056 (0.1080) loss_contra: 0.0026 (0.0172) time: 3.0325 data: 0.0065 max mem: 31630 Epoch: [6] [1950/5278] eta: 2:47:11 lr: 4.2773450764886624e-05 loss: 0.1380 (0.1442) loss_seg: 0.1364 (0.1429) loss_lansim: 0.1056 (0.1080) loss_contra: 0.0029 (0.0174) time: 3.0279 data: 0.0065 max mem: 31630 Epoch: [6] [1960/5278] eta: 2:46:42 lr: 4.277128197630911e-05 loss: 0.1361 (0.1441) loss_seg: 0.1349 (0.1429) loss_lansim: 0.1056 (0.1080) loss_contra: 0.0036 (0.0173) time: 3.0322 data: 0.0065 max mem: 31630 Epoch: [6] [1970/5278] eta: 2:46:12 lr: 4.276911317551241e-05 loss: 0.1330 (0.1441) loss_seg: 0.1320 (0.1429) loss_lansim: 0.1056 (0.1080) loss_contra: 0.0041 (0.0173) time: 3.0306 data: 0.0065 max mem: 31630 Epoch: [6] [1980/5278] eta: 2:45:42 lr: 4.276694436249578e-05 loss: 0.1316 (0.1441) loss_seg: 0.1307 (0.1428) loss_lansim: 0.1080 (0.1081) loss_contra: 0.0036 (0.0173) time: 3.0294 data: 0.0066 max mem: 31630 Epoch: [6] [1990/5278] eta: 2:45:12 lr: 4.276477553725845e-05 loss: 0.1263 (0.1442) loss_seg: 0.1251 (0.1429) loss_lansim: 0.1090 (0.1081) loss_contra: 0.0028 (0.0172) time: 3.0326 data: 0.0067 max mem: 31630 Epoch: [6] [2000/5278] eta: 2:44:42 lr: 4.276260669979966e-05 loss: 0.1258 (0.1442) loss_seg: 0.1245 (0.1429) loss_lansim: 0.1113 (0.1082) loss_contra: 0.0028 (0.0173) time: 3.0317 data: 0.0067 max mem: 31630 Epoch: [6] [2010/5278] eta: 2:44:12 lr: 4.276043785011866e-05 loss: 0.1268 (0.1441) loss_seg: 0.1258 (0.1428) loss_lansim: 0.1149 (0.1083) loss_contra: 0.0028 (0.0173) time: 3.0302 data: 0.0068 max mem: 31630 Epoch: [6] [2020/5278] eta: 2:43:43 lr: 4.2758268988214704e-05 loss: 0.1268 (0.1440) loss_seg: 0.1258 (0.1428) loss_lansim: 0.1173 (0.1085) loss_contra: 0.0028 (0.0174) time: 3.0356 data: 0.0068 max mem: 31630 Epoch: [6] [2030/5278] eta: 2:43:12 lr: 4.2756100114087005e-05 loss: 0.1248 (0.1439) loss_seg: 0.1237 (0.1427) loss_lansim: 0.1186 (0.1086) loss_contra: 0.0029 (0.0174) time: 3.0342 data: 0.0068 max mem: 31630 Epoch: [6] [2040/5278] eta: 2:42:42 lr: 4.275393122773483e-05 loss: 0.1330 (0.1440) loss_seg: 0.1318 (0.1427) loss_lansim: 0.1209 (0.1088) loss_contra: 0.0031 (0.0174) time: 3.0254 data: 0.0067 max mem: 31630 Epoch: [6] [2050/5278] eta: 2:42:11 lr: 4.275176232915742e-05 loss: 0.1330 (0.1440) loss_seg: 0.1318 (0.1427) loss_lansim: 0.1244 (0.1090) loss_contra: 0.0030 (0.0173) time: 3.0191 data: 0.0067 max mem: 31630 Epoch: [6] [2060/5278] eta: 2:41:39 lr: 4.274959341835399e-05 loss: 0.1330 (0.1439) loss_seg: 0.1315 (0.1427) loss_lansim: 0.1299 (0.1092) loss_contra: 0.0029 (0.0173) time: 3.0093 data: 0.0067 max mem: 31630 Epoch: [6] [2070/5278] eta: 2:41:09 lr: 4.274742449532382e-05 loss: 0.1330 (0.1439) loss_seg: 0.1315 (0.1426) loss_lansim: 0.1363 (0.1094) loss_contra: 0.0029 (0.0173) time: 3.0081 data: 0.0066 max mem: 31630 Epoch: [6] [2080/5278] eta: 2:40:38 lr: 4.274525556006613e-05 loss: 0.1319 (0.1437) loss_seg: 0.1305 (0.1425) loss_lansim: 0.1400 (0.1096) loss_contra: 0.0031 (0.0174) time: 3.0014 data: 0.0065 max mem: 31630 Epoch: [6] [2090/5278] eta: 2:40:07 lr: 4.274308661258016e-05 loss: 0.1297 (0.1437) loss_seg: 0.1283 (0.1424) loss_lansim: 0.1432 (0.1097) loss_contra: 0.0035 (0.0173) time: 2.9935 data: 0.0064 max mem: 31630 Epoch: [6] [2100/5278] eta: 2:39:38 lr: 4.274091765286516e-05 loss: 0.1319 (0.1437) loss_seg: 0.1305 (0.1424) loss_lansim: 0.1435 (0.1099) loss_contra: 0.0035 (0.0173) time: 2.9973 data: 0.0064 max mem: 31630 Epoch: [6] [2110/5278] eta: 2:39:09 lr: 4.2738748680920356e-05 loss: 0.1297 (0.1437) loss_seg: 0.1283 (0.1424) loss_lansim: 0.1443 (0.1101) loss_contra: 0.0036 (0.0173) time: 3.0031 data: 0.0063 max mem: 31630 Epoch: [6] [2120/5278] eta: 2:38:39 lr: 4.273657969674502e-05 loss: 0.1297 (0.1438) loss_seg: 0.1283 (0.1425) loss_lansim: 0.1445 (0.1102) loss_contra: 0.0037 (0.0173) time: 3.0033 data: 0.0062 max mem: 31630 Epoch: [6] [2130/5278] eta: 2:38:10 lr: 4.273441070033837e-05 loss: 0.1340 (0.1439) loss_seg: 0.1316 (0.1427) loss_lansim: 0.1445 (0.1104) loss_contra: 0.0036 (0.0172) time: 3.0079 data: 0.0062 max mem: 31630 Epoch: [6] [2140/5278] eta: 2:37:39 lr: 4.2732241691699644e-05 loss: 0.1340 (0.1441) loss_seg: 0.1316 (0.1429) loss_lansim: 0.1452 (0.1105) loss_contra: 0.0034 (0.0172) time: 3.0096 data: 0.0061 max mem: 31630 Epoch: [6] [2150/5278] eta: 2:37:09 lr: 4.2730072670828095e-05 loss: 0.1439 (0.1443) loss_seg: 0.1426 (0.1431) loss_lansim: 0.1450 (0.1107) loss_contra: 0.0034 (0.0172) time: 3.0141 data: 0.0061 max mem: 31630 Epoch: [6] [2160/5278] eta: 2:36:40 lr: 4.2727903637722964e-05 loss: 0.1476 (0.1445) loss_seg: 0.1461 (0.1432) loss_lansim: 0.1450 (0.1109) loss_contra: 0.0035 (0.0172) time: 3.0272 data: 0.0061 max mem: 31630 Epoch: [6] [2170/5278] eta: 2:36:10 lr: 4.272573459238348e-05 loss: 0.1475 (0.1445) loss_seg: 0.1461 (0.1432) loss_lansim: 0.1452 (0.1112) loss_contra: 0.0036 (0.0171) time: 3.0309 data: 0.0061 max mem: 31630 Epoch: [6] [2180/5278] eta: 2:35:41 lr: 4.27235655348089e-05 loss: 0.1504 (0.1446) loss_seg: 0.1486 (0.1433) loss_lansim: 0.1463 (0.1114) loss_contra: 0.0037 (0.0171) time: 3.0388 data: 0.0062 max mem: 31630 Epoch: [6] [2190/5278] eta: 2:35:10 lr: 4.272139646499845e-05 loss: 0.1508 (0.1445) loss_seg: 0.1491 (0.1433) loss_lansim: 0.1469 (0.1116) loss_contra: 0.0029 (0.0171) time: 3.0466 data: 0.0062 max mem: 31630 Epoch: [6] [2200/5278] eta: 2:34:40 lr: 4.2719227382951384e-05 loss: 0.1508 (0.1447) loss_seg: 0.1491 (0.1434) loss_lansim: 0.1484 (0.1118) loss_contra: 0.0025 (0.0170) time: 3.0403 data: 0.0062 max mem: 31630 Epoch: [6] [2210/5278] eta: 2:34:11 lr: 4.271705828866694e-05 loss: 0.1508 (0.1446) loss_seg: 0.1491 (0.1433) loss_lansim: 0.1488 (0.1120) loss_contra: 0.0027 (0.0170) time: 3.0385 data: 0.0062 max mem: 31630 Epoch: [6] [2220/5278] eta: 2:33:40 lr: 4.271488918214435e-05 loss: 0.1508 (0.1447) loss_seg: 0.1491 (0.1434) loss_lansim: 0.1489 (0.1122) loss_contra: 0.0027 (0.0170) time: 3.0325 data: 0.0062 max mem: 31630 Epoch: [6] [2230/5278] eta: 2:33:11 lr: 4.2712720063382855e-05 loss: 0.1506 (0.1447) loss_seg: 0.1490 (0.1434) loss_lansim: 0.1494 (0.1123) loss_contra: 0.0027 (0.0169) time: 3.0364 data: 0.0062 max mem: 31630 Epoch: [6] [2240/5278] eta: 2:32:41 lr: 4.27105509323817e-05 loss: 0.1457 (0.1447) loss_seg: 0.1441 (0.1434) loss_lansim: 0.1498 (0.1125) loss_contra: 0.0029 (0.0169) time: 3.0388 data: 0.0062 max mem: 31630 Epoch: [6] [2250/5278] eta: 2:32:11 lr: 4.270838178914013e-05 loss: 0.1432 (0.1447) loss_seg: 0.1416 (0.1434) loss_lansim: 0.1507 (0.1127) loss_contra: 0.0027 (0.0169) time: 3.0422 data: 0.0062 max mem: 31630 Epoch: [6] [2260/5278] eta: 2:31:41 lr: 4.270621263365737e-05 loss: 0.1380 (0.1448) loss_seg: 0.1363 (0.1435) loss_lansim: 0.1504 (0.1129) loss_contra: 0.0027 (0.0169) time: 3.0371 data: 0.0062 max mem: 31630 Epoch: [6] [2270/5278] eta: 2:31:11 lr: 4.270404346593268e-05 loss: 0.1381 (0.1447) loss_seg: 0.1363 (0.1434) loss_lansim: 0.1494 (0.1130) loss_contra: 0.0027 (0.0168) time: 3.0312 data: 0.0062 max mem: 31630 Epoch: [6] [2280/5278] eta: 2:30:41 lr: 4.270187428596529e-05 loss: 0.1335 (0.1446) loss_seg: 0.1318 (0.1433) loss_lansim: 0.1494 (0.1132) loss_contra: 0.0024 (0.0168) time: 3.0309 data: 0.0062 max mem: 31630 Epoch: [6] [2290/5278] eta: 2:30:11 lr: 4.269970509375443e-05 loss: 0.1373 (0.1447) loss_seg: 0.1358 (0.1434) loss_lansim: 0.1509 (0.1135) loss_contra: 0.0027 (0.0168) time: 3.0302 data: 0.0062 max mem: 31630 Epoch: [6] [2300/5278] eta: 2:29:41 lr: 4.2697535889299354e-05 loss: 0.1381 (0.1447) loss_seg: 0.1361 (0.1434) loss_lansim: 0.1552 (0.1138) loss_contra: 0.0025 (0.0167) time: 3.0306 data: 0.0062 max mem: 31630 Epoch: [6] [2310/5278] eta: 2:29:11 lr: 4.2695366672599304e-05 loss: 0.1380 (0.1446) loss_seg: 0.1360 (0.1433) loss_lansim: 0.1566 (0.1142) loss_contra: 0.0024 (0.0167) time: 3.0296 data: 0.0062 max mem: 31630 Epoch: [6] [2320/5278] eta: 2:28:41 lr: 4.26931974436535e-05 loss: 0.1327 (0.1445) loss_seg: 0.1311 (0.1432) loss_lansim: 0.1609 (0.1146) loss_contra: 0.0026 (0.0169) time: 3.0313 data: 0.0062 max mem: 31630 Epoch: [6] [2330/5278] eta: 2:28:10 lr: 4.269102820246121e-05 loss: 0.1319 (0.1446) loss_seg: 0.1304 (0.1433) loss_lansim: 0.1693 (0.1149) loss_contra: 0.0028 (0.0170) time: 3.0202 data: 0.0062 max mem: 31630 Epoch: [6] [2340/5278] eta: 2:27:41 lr: 4.2688858949021646e-05 loss: 0.1303 (0.1445) loss_seg: 0.1282 (0.1432) loss_lansim: 0.1765 (0.1153) loss_contra: 0.0038 (0.0170) time: 3.0223 data: 0.0062 max mem: 31630 Epoch: [6] [2350/5278] eta: 2:27:10 lr: 4.268668968333406e-05 loss: 0.1303 (0.1446) loss_seg: 0.1282 (0.1433) loss_lansim: 0.1827 (0.1156) loss_contra: 0.0053 (0.0171) time: 3.0205 data: 0.0063 max mem: 31630 Epoch: [6] [2360/5278] eta: 2:26:40 lr: 4.26845204053977e-05 loss: 0.1350 (0.1446) loss_seg: 0.1332 (0.1433) loss_lansim: 0.1827 (0.1158) loss_contra: 0.0066 (0.0172) time: 3.0211 data: 0.0063 max mem: 31630 Epoch: [6] [2370/5278] eta: 2:26:10 lr: 4.268235111521179e-05 loss: 0.1350 (0.1446) loss_seg: 0.1332 (0.1433) loss_lansim: 0.1835 (0.1160) loss_contra: 0.0078 (0.0173) time: 3.0247 data: 0.0063 max mem: 31630 Epoch: [6] [2380/5278] eta: 2:25:41 lr: 4.268018181277558e-05 loss: 0.1396 (0.1446) loss_seg: 0.1374 (0.1433) loss_lansim: 0.1795 (0.1162) loss_contra: 0.0088 (0.0174) time: 3.0248 data: 0.0064 max mem: 31630 Epoch: [6] [2390/5278] eta: 2:25:10 lr: 4.267801249808829e-05 loss: 0.1381 (0.1446) loss_seg: 0.1360 (0.1433) loss_lansim: 0.1765 (0.1163) loss_contra: 0.0088 (0.0174) time: 3.0208 data: 0.0065 max mem: 31630 Epoch: [6] [2400/5278] eta: 2:24:40 lr: 4.267584317114918e-05 loss: 0.1382 (0.1446) loss_seg: 0.1360 (0.1433) loss_lansim: 0.1750 (0.1166) loss_contra: 0.0116 (0.0174) time: 3.0238 data: 0.0066 max mem: 31630 Epoch: [6] [2410/5278] eta: 2:24:12 lr: 4.2673673831957486e-05 loss: 0.1401 (0.1447) loss_seg: 0.1376 (0.1433) loss_lansim: 0.1700 (0.1167) loss_contra: 0.0103 (0.0173) time: 3.0336 data: 0.0066 max mem: 31630 Epoch: [6] [2420/5278] eta: 2:23:43 lr: 4.267150448051244e-05 loss: 0.1407 (0.1448) loss_seg: 0.1384 (0.1434) loss_lansim: 0.1692 (0.1169) loss_contra: 0.0117 (0.0175) time: 3.0443 data: 0.0067 max mem: 31630 Epoch: [6] [2430/5278] eta: 2:23:13 lr: 4.2669335116813274e-05 loss: 0.1407 (0.1448) loss_seg: 0.1384 (0.1434) loss_lansim: 0.1675 (0.1172) loss_contra: 0.0116 (0.0175) time: 3.0569 data: 0.0068 max mem: 31630 Epoch: [6] [2440/5278] eta: 2:22:44 lr: 4.266716574085925e-05 loss: 0.1422 (0.1448) loss_seg: 0.1401 (0.1435) loss_lansim: 0.1670 (0.1174) loss_contra: 0.0096 (0.0175) time: 3.0580 data: 0.0069 max mem: 31630 Epoch: [6] [2450/5278] eta: 2:22:14 lr: 4.2664996352649585e-05 loss: 0.1401 (0.1448) loss_seg: 0.1384 (0.1434) loss_lansim: 0.1670 (0.1177) loss_contra: 0.0070 (0.0175) time: 3.0616 data: 0.0069 max mem: 31630 Epoch: [6] [2460/5278] eta: 2:21:44 lr: 4.2662826952183514e-05 loss: 0.1376 (0.1447) loss_seg: 0.1360 (0.1433) loss_lansim: 0.1675 (0.1180) loss_contra: 0.0056 (0.0177) time: 3.0602 data: 0.0069 max mem: 31630 Epoch: [6] [2470/5278] eta: 2:21:14 lr: 4.2660657539460294e-05 loss: 0.1376 (0.1448) loss_seg: 0.1360 (0.1434) loss_lansim: 0.1695 (0.1183) loss_contra: 0.0057 (0.0178) time: 3.0581 data: 0.0070 max mem: 31630 Epoch: [6] [2480/5278] eta: 2:20:44 lr: 4.265848811447916e-05 loss: 0.1326 (0.1448) loss_seg: 0.1301 (0.1434) loss_lansim: 0.1738 (0.1187) loss_contra: 0.0075 (0.0178) time: 3.0612 data: 0.0070 max mem: 31630 Epoch: [6] [2490/5278] eta: 2:20:14 lr: 4.2656318677239334e-05 loss: 0.1331 (0.1448) loss_seg: 0.1309 (0.1434) loss_lansim: 0.1767 (0.1190) loss_contra: 0.0075 (0.0178) time: 3.0686 data: 0.0070 max mem: 31630 Epoch: [6] [2500/5278] eta: 2:19:45 lr: 4.265414922774008e-05 loss: 0.1347 (0.1449) loss_seg: 0.1318 (0.1436) loss_lansim: 0.1826 (0.1194) loss_contra: 0.0094 (0.0180) time: 3.0748 data: 0.0070 max mem: 31630 Epoch: [6] [2510/5278] eta: 2:19:15 lr: 4.26519797659806e-05 loss: 0.1333 (0.1450) loss_seg: 0.1309 (0.1436) loss_lansim: 0.1888 (0.1197) loss_contra: 0.0107 (0.0180) time: 3.0590 data: 0.0069 max mem: 31630 Epoch: [6] [2520/5278] eta: 2:18:45 lr: 4.264981029196016e-05 loss: 0.1333 (0.1450) loss_seg: 0.1309 (0.1436) loss_lansim: 0.1910 (0.1200) loss_contra: 0.0098 (0.0180) time: 3.0516 data: 0.0068 max mem: 31630 Epoch: [6] [2530/5278] eta: 2:18:15 lr: 4.2647640805678e-05 loss: 0.1347 (0.1451) loss_seg: 0.1318 (0.1437) loss_lansim: 0.1917 (0.1202) loss_contra: 0.0099 (0.0181) time: 3.0449 data: 0.0068 max mem: 31630 Epoch: [6] [2540/5278] eta: 2:17:44 lr: 4.264547130713334e-05 loss: 0.1331 (0.1450) loss_seg: 0.1309 (0.1436) loss_lansim: 0.1903 (0.1204) loss_contra: 0.0099 (0.0181) time: 3.0401 data: 0.0069 max mem: 31630 Epoch: [6] [2550/5278] eta: 2:17:14 lr: 4.264330179632542e-05 loss: 0.1400 (0.1451) loss_seg: 0.1371 (0.1437) loss_lansim: 0.1879 (0.1206) loss_contra: 0.0105 (0.0181) time: 3.0376 data: 0.0069 max mem: 31630 Epoch: [6] [2560/5278] eta: 2:16:45 lr: 4.264113227325349e-05 loss: 0.1423 (0.1451) loss_seg: 0.1406 (0.1437) loss_lansim: 0.1827 (0.1207) loss_contra: 0.0104 (0.0181) time: 3.0430 data: 0.0069 max mem: 31630 Epoch: [6] [2570/5278] eta: 2:16:15 lr: 4.263896273791678e-05 loss: 0.1376 (0.1450) loss_seg: 0.1360 (0.1436) loss_lansim: 0.1820 (0.1208) loss_contra: 0.0104 (0.0181) time: 3.0466 data: 0.0069 max mem: 31630 Epoch: [6] [2580/5278] eta: 2:15:45 lr: 4.263679319031452e-05 loss: 0.1370 (0.1450) loss_seg: 0.1349 (0.1436) loss_lansim: 0.1788 (0.1209) loss_contra: 0.0099 (0.0181) time: 3.0433 data: 0.0069 max mem: 31630 Epoch: [6] [2590/5278] eta: 2:15:15 lr: 4.263462363044596e-05 loss: 0.1370 (0.1450) loss_seg: 0.1349 (0.1436) loss_lansim: 0.1657 (0.1210) loss_contra: 0.0090 (0.0180) time: 3.0432 data: 0.0069 max mem: 31630 Epoch: [6] [2600/5278] eta: 2:14:45 lr: 4.2632454058310334e-05 loss: 0.1348 (0.1451) loss_seg: 0.1335 (0.1437) loss_lansim: 0.1579 (0.1211) loss_contra: 0.0082 (0.0180) time: 3.0352 data: 0.0068 max mem: 31630 Epoch: [6] [2610/5278] eta: 2:14:15 lr: 4.263028447390687e-05 loss: 0.1343 (0.1451) loss_seg: 0.1330 (0.1437) loss_lansim: 0.1548 (0.1212) loss_contra: 0.0049 (0.0179) time: 3.0438 data: 0.0068 max mem: 31630 Epoch: [6] [2620/5278] eta: 2:13:45 lr: 4.262811487723482e-05 loss: 0.1343 (0.1451) loss_seg: 0.1330 (0.1437) loss_lansim: 0.1527 (0.1214) loss_contra: 0.0047 (0.0180) time: 3.0429 data: 0.0069 max mem: 31630 Epoch: [6] [2630/5278] eta: 2:13:15 lr: 4.262594526829341e-05 loss: 0.1343 (0.1451) loss_seg: 0.1330 (0.1437) loss_lansim: 0.1526 (0.1215) loss_contra: 0.0041 (0.0179) time: 3.0444 data: 0.0068 max mem: 31630 Epoch: [6] [2640/5278] eta: 2:12:45 lr: 4.262377564708187e-05 loss: 0.1372 (0.1455) loss_seg: 0.1358 (0.1441) loss_lansim: 0.1527 (0.1217) loss_contra: 0.0040 (0.0179) time: 3.0459 data: 0.0067 max mem: 31630 Epoch: [6] [2650/5278] eta: 2:12:15 lr: 4.2621606013599455e-05 loss: 0.1374 (0.1456) loss_seg: 0.1360 (0.1442) loss_lansim: 0.1534 (0.1218) loss_contra: 0.0035 (0.0180) time: 3.0472 data: 0.0066 max mem: 31630 Epoch: [6] [2660/5278] eta: 2:11:45 lr: 4.261943636784539e-05 loss: 0.1374 (0.1455) loss_seg: 0.1360 (0.1441) loss_lansim: 0.1535 (0.1220) loss_contra: 0.0036 (0.0180) time: 3.0453 data: 0.0066 max mem: 31630 Epoch: [6] [2670/5278] eta: 2:11:15 lr: 4.261726670981891e-05 loss: 0.1386 (0.1456) loss_seg: 0.1372 (0.1442) loss_lansim: 0.1534 (0.1220) loss_contra: 0.0038 (0.0180) time: 3.0403 data: 0.0065 max mem: 31630 Epoch: [6] [2680/5278] eta: 2:10:45 lr: 4.2615097039519254e-05 loss: 0.1399 (0.1456) loss_seg: 0.1383 (0.1442) loss_lansim: 0.1534 (0.1221) loss_contra: 0.0048 (0.0181) time: 3.0411 data: 0.0064 max mem: 31630 Epoch: [6] [2690/5278] eta: 2:10:15 lr: 4.261292735694566e-05 loss: 0.1406 (0.1456) loss_seg: 0.1391 (0.1442) loss_lansim: 0.1534 (0.1223) loss_contra: 0.0063 (0.0181) time: 3.0433 data: 0.0063 max mem: 31630 Epoch: [6] [2700/5278] eta: 2:09:45 lr: 4.2610757662097375e-05 loss: 0.1393 (0.1456) loss_seg: 0.1378 (0.1442) loss_lansim: 0.1528 (0.1224) loss_contra: 0.0070 (0.0181) time: 3.0451 data: 0.0063 max mem: 31630 Epoch: [6] [2710/5278] eta: 2:09:16 lr: 4.26085879549736e-05 loss: 0.1406 (0.1456) loss_seg: 0.1391 (0.1442) loss_lansim: 0.1528 (0.1224) loss_contra: 0.0074 (0.0180) time: 3.0494 data: 0.0063 max mem: 31630 Epoch: [6] [2720/5278] eta: 2:08:47 lr: 4.2606418235573613e-05 loss: 0.1437 (0.1457) loss_seg: 0.1419 (0.1443) loss_lansim: 0.1512 (0.1225) loss_contra: 0.0070 (0.0180) time: 3.0543 data: 0.0063 max mem: 31630 Epoch: [6] [2730/5278] eta: 2:08:17 lr: 4.260424850389663e-05 loss: 0.1411 (0.1456) loss_seg: 0.1397 (0.1442) loss_lansim: 0.1505 (0.1226) loss_contra: 0.0078 (0.0180) time: 3.0634 data: 0.0063 max mem: 31630 Epoch: [6] [2740/5278] eta: 2:07:48 lr: 4.260207875994189e-05 loss: 0.1411 (0.1457) loss_seg: 0.1397 (0.1443) loss_lansim: 0.1487 (0.1227) loss_contra: 0.0065 (0.0179) time: 3.0738 data: 0.0063 max mem: 31630 Epoch: [6] [2750/5278] eta: 2:07:18 lr: 4.259990900370862e-05 loss: 0.1399 (0.1457) loss_seg: 0.1383 (0.1443) loss_lansim: 0.1465 (0.1228) loss_contra: 0.0058 (0.0179) time: 3.0748 data: 0.0063 max mem: 31630 Epoch: [6] [2760/5278] eta: 2:06:48 lr: 4.259773923519606e-05 loss: 0.1399 (0.1456) loss_seg: 0.1383 (0.1442) loss_lansim: 0.1463 (0.1229) loss_contra: 0.0052 (0.0180) time: 3.0721 data: 0.0064 max mem: 31630 Epoch: [6] [2770/5278] eta: 2:06:18 lr: 4.259556945440345e-05 loss: 0.1399 (0.1457) loss_seg: 0.1383 (0.1443) loss_lansim: 0.1475 (0.1230) loss_contra: 0.0049 (0.0180) time: 3.0737 data: 0.0063 max mem: 31630 Epoch: [6] [2780/5278] eta: 2:05:48 lr: 4.259339966133003e-05 loss: 0.1406 (0.1457) loss_seg: 0.1391 (0.1443) loss_lansim: 0.1488 (0.1231) loss_contra: 0.0048 (0.0180) time: 3.0746 data: 0.0064 max mem: 31630 Epoch: [6] [2790/5278] eta: 2:05:18 lr: 4.2591229855975026e-05 loss: 0.1411 (0.1457) loss_seg: 0.1397 (0.1443) loss_lansim: 0.1487 (0.1232) loss_contra: 0.0048 (0.0181) time: 3.0694 data: 0.0064 max mem: 31630 Epoch: [6] [2800/5278] eta: 2:04:48 lr: 4.258906003833767e-05 loss: 0.1420 (0.1457) loss_seg: 0.1405 (0.1443) loss_lansim: 0.1446 (0.1232) loss_contra: 0.0042 (0.0182) time: 3.0689 data: 0.0064 max mem: 31630 Epoch: [6] [2810/5278] eta: 2:04:18 lr: 4.258689020841721e-05 loss: 0.1465 (0.1457) loss_seg: 0.1448 (0.1443) loss_lansim: 0.1426 (0.1233) loss_contra: 0.0037 (0.0182) time: 3.0648 data: 0.0064 max mem: 31630 Epoch: [6] [2820/5278] eta: 2:03:48 lr: 4.258472036621287e-05 loss: 0.1383 (0.1457) loss_seg: 0.1369 (0.1443) loss_lansim: 0.1426 (0.1233) loss_contra: 0.0049 (0.0183) time: 3.0608 data: 0.0063 max mem: 31630 Epoch: [6] [2830/5278] eta: 2:03:18 lr: 4.25825505117239e-05 loss: 0.1440 (0.1457) loss_seg: 0.1425 (0.1443) loss_lansim: 0.1404 (0.1233) loss_contra: 0.0042 (0.0183) time: 3.0469 data: 0.0063 max mem: 31630 Epoch: [6] [2840/5278] eta: 2:02:47 lr: 4.2580380644949516e-05 loss: 0.1416 (0.1458) loss_seg: 0.1403 (0.1443) loss_lansim: 0.1403 (0.1233) loss_contra: 0.0042 (0.0182) time: 3.0343 data: 0.0063 max mem: 31630 Epoch: [6] [2850/5278] eta: 2:02:17 lr: 4.257821076588896e-05 loss: 0.1420 (0.1458) loss_seg: 0.1405 (0.1444) loss_lansim: 0.1385 (0.1234) loss_contra: 0.0037 (0.0182) time: 3.0351 data: 0.0063 max mem: 31630 Epoch: [6] [2860/5278] eta: 2:01:47 lr: 4.257604087454147e-05 loss: 0.1431 (0.1459) loss_seg: 0.1417 (0.1445) loss_lansim: 0.1362 (0.1234) loss_contra: 0.0035 (0.0182) time: 3.0378 data: 0.0063 max mem: 31630 Epoch: [6] [2870/5278] eta: 2:01:17 lr: 4.257387097090628e-05 loss: 0.1486 (0.1459) loss_seg: 0.1473 (0.1445) loss_lansim: 0.1345 (0.1234) loss_contra: 0.0035 (0.0183) time: 3.0356 data: 0.0063 max mem: 31630 Epoch: [6] [2880/5278] eta: 2:00:47 lr: 4.2571701054982623e-05 loss: 0.1484 (0.1459) loss_seg: 0.1468 (0.1445) loss_lansim: 0.1329 (0.1234) loss_contra: 0.0034 (0.0184) time: 3.0335 data: 0.0063 max mem: 31630 Epoch: [6] [2890/5278] eta: 2:00:17 lr: 4.256953112676973e-05 loss: 0.1431 (0.1459) loss_seg: 0.1417 (0.1445) loss_lansim: 0.1301 (0.1234) loss_contra: 0.0035 (0.0184) time: 3.0386 data: 0.0063 max mem: 31630 Epoch: [6] [2900/5278] eta: 1:59:46 lr: 4.2567361186266836e-05 loss: 0.1440 (0.1459) loss_seg: 0.1425 (0.1445) loss_lansim: 0.1282 (0.1234) loss_contra: 0.0035 (0.0184) time: 3.0338 data: 0.0063 max mem: 31630 Epoch: [6] [2910/5278] eta: 1:59:16 lr: 4.256519123347319e-05 loss: 0.1454 (0.1459) loss_seg: 0.1441 (0.1445) loss_lansim: 0.1251 (0.1234) loss_contra: 0.0035 (0.0184) time: 3.0299 data: 0.0063 max mem: 31630 Epoch: [6] [2920/5278] eta: 1:58:46 lr: 4.2563021268388e-05 loss: 0.1471 (0.1460) loss_seg: 0.1457 (0.1446) loss_lansim: 0.1236 (0.1234) loss_contra: 0.0035 (0.0184) time: 3.0269 data: 0.0063 max mem: 31630 Epoch: [6] [2930/5278] eta: 1:58:16 lr: 4.256085129101052e-05 loss: 0.1451 (0.1459) loss_seg: 0.1440 (0.1445) loss_lansim: 0.1231 (0.1234) loss_contra: 0.0035 (0.0184) time: 3.0326 data: 0.0062 max mem: 31630 Epoch: [6] [2940/5278] eta: 1:57:46 lr: 4.2558681301339985e-05 loss: 0.1431 (0.1459) loss_seg: 0.1417 (0.1445) loss_lansim: 0.1219 (0.1234) loss_contra: 0.0035 (0.0183) time: 3.0298 data: 0.0063 max mem: 31630 Epoch: [6] [2950/5278] eta: 1:57:16 lr: 4.255651129937562e-05 loss: 0.1451 (0.1460) loss_seg: 0.1440 (0.1445) loss_lansim: 0.1212 (0.1233) loss_contra: 0.0038 (0.0183) time: 3.0296 data: 0.0063 max mem: 31630 Epoch: [6] [2960/5278] eta: 1:56:46 lr: 4.2554341285116656e-05 loss: 0.1441 (0.1459) loss_seg: 0.1424 (0.1445) loss_lansim: 0.1203 (0.1233) loss_contra: 0.0041 (0.0183) time: 3.0336 data: 0.0064 max mem: 31630 Epoch: [6] [2970/5278] eta: 1:56:16 lr: 4.255217125856233e-05 loss: 0.1406 (0.1460) loss_seg: 0.1396 (0.1446) loss_lansim: 0.1193 (0.1233) loss_contra: 0.0044 (0.0184) time: 3.0349 data: 0.0064 max mem: 31630 Epoch: [6] [2980/5278] eta: 1:55:46 lr: 4.255000121971188e-05 loss: 0.1353 (0.1459) loss_seg: 0.1342 (0.1445) loss_lansim: 0.1192 (0.1233) loss_contra: 0.0044 (0.0183) time: 3.0376 data: 0.0064 max mem: 31630 Epoch: [6] [2990/5278] eta: 1:55:16 lr: 4.254783116856454e-05 loss: 0.1338 (0.1458) loss_seg: 0.1326 (0.1444) loss_lansim: 0.1186 (0.1233) loss_contra: 0.0041 (0.0184) time: 3.0350 data: 0.0064 max mem: 31630 Epoch: [6] [3000/5278] eta: 1:54:45 lr: 4.254566110511954e-05 loss: 0.1353 (0.1459) loss_seg: 0.1342 (0.1445) loss_lansim: 0.1172 (0.1233) loss_contra: 0.0039 (0.0184) time: 3.0366 data: 0.0064 max mem: 31630 Epoch: [6] [3010/5278] eta: 1:54:16 lr: 4.254349102937612e-05 loss: 0.1344 (0.1459) loss_seg: 0.1332 (0.1445) loss_lansim: 0.1172 (0.1233) loss_contra: 0.0041 (0.0184) time: 3.0403 data: 0.0064 max mem: 31630 Epoch: [6] [3020/5278] eta: 1:53:46 lr: 4.25413209413335e-05 loss: 0.1338 (0.1459) loss_seg: 0.1326 (0.1444) loss_lansim: 0.1193 (0.1233) loss_contra: 0.0040 (0.0185) time: 3.0498 data: 0.0064 max mem: 31630 Epoch: [6] [3030/5278] eta: 1:53:16 lr: 4.2539150840990916e-05 loss: 0.1363 (0.1459) loss_seg: 0.1351 (0.1445) loss_lansim: 0.1199 (0.1233) loss_contra: 0.0039 (0.0185) time: 3.0567 data: 0.0064 max mem: 31630 Epoch: [6] [3040/5278] eta: 1:52:47 lr: 4.2536980728347614e-05 loss: 0.1363 (0.1459) loss_seg: 0.1351 (0.1445) loss_lansim: 0.1204 (0.1233) loss_contra: 0.0039 (0.0185) time: 3.0692 data: 0.0063 max mem: 31630 Epoch: [6] [3050/5278] eta: 1:52:17 lr: 4.253481060340281e-05 loss: 0.1373 (0.1461) loss_seg: 0.1363 (0.1446) loss_lansim: 0.1215 (0.1234) loss_contra: 0.0038 (0.0185) time: 3.0707 data: 0.0063 max mem: 31630 Epoch: [6] [3060/5278] eta: 1:51:47 lr: 4.253264046615575e-05 loss: 0.1392 (0.1462) loss_seg: 0.1381 (0.1448) loss_lansim: 0.1238 (0.1234) loss_contra: 0.0039 (0.0185) time: 3.0636 data: 0.0063 max mem: 31630 Epoch: [6] [3070/5278] eta: 1:51:16 lr: 4.253047031660566e-05 loss: 0.1415 (0.1463) loss_seg: 0.1399 (0.1449) loss_lansim: 0.1267 (0.1235) loss_contra: 0.0033 (0.0185) time: 3.0647 data: 0.0063 max mem: 31630 Epoch: [6] [3080/5278] eta: 1:50:46 lr: 4.252830015475178e-05 loss: 0.1489 (0.1463) loss_seg: 0.1475 (0.1449) loss_lansim: 0.1296 (0.1235) loss_contra: 0.0031 (0.0184) time: 3.0591 data: 0.0063 max mem: 31630 Epoch: [6] [3090/5278] eta: 1:50:16 lr: 4.252612998059333e-05 loss: 0.1545 (0.1463) loss_seg: 0.1528 (0.1449) loss_lansim: 0.1297 (0.1235) loss_contra: 0.0033 (0.0184) time: 3.0561 data: 0.0063 max mem: 31630 Epoch: [6] [3100/5278] eta: 1:49:45 lr: 4.2523959794129556e-05 loss: 0.1537 (0.1464) loss_seg: 0.1526 (0.1450) loss_lansim: 0.1297 (0.1235) loss_contra: 0.0025 (0.0183) time: 3.0557 data: 0.0063 max mem: 31630 Epoch: [6] [3110/5278] eta: 1:49:15 lr: 4.252178959535968e-05 loss: 0.1537 (0.1464) loss_seg: 0.1526 (0.1450) loss_lansim: 0.1310 (0.1236) loss_contra: 0.0025 (0.0183) time: 3.0536 data: 0.0063 max mem: 31630 Epoch: [6] [3120/5278] eta: 1:48:45 lr: 4.251961938428294e-05 loss: 0.1548 (0.1465) loss_seg: 0.1535 (0.1451) loss_lansim: 0.1300 (0.1236) loss_contra: 0.0028 (0.0184) time: 3.0491 data: 0.0063 max mem: 31630 Epoch: [6] [3130/5278] eta: 1:48:15 lr: 4.251744916089857e-05 loss: 0.1537 (0.1465) loss_seg: 0.1526 (0.1450) loss_lansim: 0.1300 (0.1236) loss_contra: 0.0034 (0.0185) time: 3.0384 data: 0.0063 max mem: 31630 Epoch: [6] [3140/5278] eta: 1:47:45 lr: 4.25152789252058e-05 loss: 0.1489 (0.1464) loss_seg: 0.1474 (0.1450) loss_lansim: 0.1300 (0.1236) loss_contra: 0.0031 (0.0184) time: 3.0350 data: 0.0063 max mem: 31630 Epoch: [6] [3150/5278] eta: 1:47:15 lr: 4.2513108677203864e-05 loss: 0.1452 (0.1464) loss_seg: 0.1436 (0.1450) loss_lansim: 0.1268 (0.1235) loss_contra: 0.0028 (0.0183) time: 3.0278 data: 0.0063 max mem: 31630 Epoch: [6] [3160/5278] eta: 1:46:45 lr: 4.2510938416891975e-05 loss: 0.1383 (0.1464) loss_seg: 0.1369 (0.1449) loss_lansim: 0.1238 (0.1235) loss_contra: 0.0029 (0.0183) time: 3.0293 data: 0.0063 max mem: 31630 Epoch: [6] [3170/5278] eta: 1:46:14 lr: 4.25087681442694e-05 loss: 0.1316 (0.1463) loss_seg: 0.1300 (0.1449) loss_lansim: 0.1199 (0.1234) loss_contra: 0.0027 (0.0183) time: 3.0308 data: 0.0063 max mem: 31630 Epoch: [6] [3180/5278] eta: 1:45:44 lr: 4.250659785933534e-05 loss: 0.1293 (0.1464) loss_seg: 0.1274 (0.1449) loss_lansim: 0.1189 (0.1234) loss_contra: 0.0032 (0.0183) time: 3.0311 data: 0.0063 max mem: 31630 Epoch: [6] [3190/5278] eta: 1:45:14 lr: 4.250442756208904e-05 loss: 0.1301 (0.1463) loss_seg: 0.1290 (0.1449) loss_lansim: 0.1184 (0.1234) loss_contra: 0.0036 (0.0184) time: 3.0360 data: 0.0063 max mem: 31630 Epoch: [6] [3200/5278] eta: 1:44:44 lr: 4.250225725252974e-05 loss: 0.1316 (0.1464) loss_seg: 0.1300 (0.1450) loss_lansim: 0.1188 (0.1234) loss_contra: 0.0038 (0.0184) time: 3.0393 data: 0.0063 max mem: 31630 Epoch: [6] [3210/5278] eta: 1:44:14 lr: 4.2500086930656646e-05 loss: 0.1302 (0.1464) loss_seg: 0.1290 (0.1450) loss_lansim: 0.1188 (0.1235) loss_contra: 0.0047 (0.0185) time: 3.0400 data: 0.0063 max mem: 31630 Epoch: [6] [3220/5278] eta: 1:43:44 lr: 4.249791659646901e-05 loss: 0.1302 (0.1464) loss_seg: 0.1290 (0.1449) loss_lansim: 0.1178 (0.1234) loss_contra: 0.0047 (0.0185) time: 3.0357 data: 0.0063 max mem: 31630 Epoch: [6] [3230/5278] eta: 1:43:13 lr: 4.249574624996607e-05 loss: 0.1302 (0.1463) loss_seg: 0.1290 (0.1449) loss_lansim: 0.1170 (0.1234) loss_contra: 0.0045 (0.0187) time: 3.0321 data: 0.0063 max mem: 31630 Epoch: [6] [3240/5278] eta: 1:42:43 lr: 4.2493575891147034e-05 loss: 0.1322 (0.1464) loss_seg: 0.1310 (0.1450) loss_lansim: 0.1180 (0.1234) loss_contra: 0.0051 (0.0187) time: 3.0309 data: 0.0063 max mem: 31630 Epoch: [6] [3250/5278] eta: 1:42:13 lr: 4.249140552001115e-05 loss: 0.1322 (0.1464) loss_seg: 0.1310 (0.1449) loss_lansim: 0.1184 (0.1234) loss_contra: 0.0072 (0.0187) time: 3.0374 data: 0.0063 max mem: 31630 Epoch: [6] [3260/5278] eta: 1:41:43 lr: 4.2489235136557644e-05 loss: 0.1363 (0.1464) loss_seg: 0.1340 (0.1450) loss_lansim: 0.1207 (0.1234) loss_contra: 0.0076 (0.0187) time: 3.0322 data: 0.0063 max mem: 31630 Epoch: [6] [3270/5278] eta: 1:41:13 lr: 4.2487064740785746e-05 loss: 0.1363 (0.1464) loss_seg: 0.1345 (0.1449) loss_lansim: 0.1204 (0.1234) loss_contra: 0.0083 (0.0187) time: 3.0345 data: 0.0063 max mem: 31630 Epoch: [6] [3280/5278] eta: 1:40:43 lr: 4.2484894332694695e-05 loss: 0.1396 (0.1464) loss_seg: 0.1369 (0.1450) loss_lansim: 0.1188 (0.1234) loss_contra: 0.0076 (0.0187) time: 3.0410 data: 0.0062 max mem: 31630 Epoch: [6] [3290/5278] eta: 1:40:13 lr: 4.24827239122837e-05 loss: 0.1413 (0.1464) loss_seg: 0.1399 (0.1450) loss_lansim: 0.1189 (0.1234) loss_contra: 0.0061 (0.0187) time: 3.0427 data: 0.0062 max mem: 31630 Epoch: [6] [3300/5278] eta: 1:39:43 lr: 4.248055347955202e-05 loss: 0.1417 (0.1465) loss_seg: 0.1400 (0.1451) loss_lansim: 0.1180 (0.1233) loss_contra: 0.0068 (0.0187) time: 3.0422 data: 0.0063 max mem: 31630 Epoch: [6] [3310/5278] eta: 1:39:12 lr: 4.247838303449886e-05 loss: 0.1407 (0.1465) loss_seg: 0.1394 (0.1450) loss_lansim: 0.1161 (0.1233) loss_contra: 0.0053 (0.0187) time: 3.0374 data: 0.0062 max mem: 31630 Epoch: [6] [3320/5278] eta: 1:38:43 lr: 4.247621257712347e-05 loss: 0.1426 (0.1465) loss_seg: 0.1412 (0.1451) loss_lansim: 0.1137 (0.1233) loss_contra: 0.0049 (0.0187) time: 3.0459 data: 0.0063 max mem: 31630 Epoch: [6] [3330/5278] eta: 1:38:13 lr: 4.247404210742508e-05 loss: 0.1471 (0.1465) loss_seg: 0.1458 (0.1451) loss_lansim: 0.1137 (0.1232) loss_contra: 0.0040 (0.0186) time: 3.0617 data: 0.0062 max mem: 31630 Epoch: [6] [3340/5278] eta: 1:37:43 lr: 4.24718716254029e-05 loss: 0.1471 (0.1465) loss_seg: 0.1458 (0.1451) loss_lansim: 0.1127 (0.1231) loss_contra: 0.0039 (0.0186) time: 3.0652 data: 0.0062 max mem: 31630 Epoch: [6] [3350/5278] eta: 1:37:13 lr: 4.246970113105618e-05 loss: 0.1471 (0.1465) loss_seg: 0.1458 (0.1451) loss_lansim: 0.1113 (0.1231) loss_contra: 0.0039 (0.0186) time: 3.0665 data: 0.0063 max mem: 31630 Epoch: [6] [3360/5278] eta: 1:36:43 lr: 4.2467530624384145e-05 loss: 0.1477 (0.1466) loss_seg: 0.1463 (0.1452) loss_lansim: 0.1086 (0.1230) loss_contra: 0.0032 (0.0186) time: 3.0746 data: 0.0063 max mem: 31630 Epoch: [6] [3370/5278] eta: 1:36:13 lr: 4.246536010538602e-05 loss: 0.1514 (0.1467) loss_seg: 0.1497 (0.1453) loss_lansim: 0.1082 (0.1230) loss_contra: 0.0030 (0.0185) time: 3.0771 data: 0.0063 max mem: 31630 Epoch: [6] [3380/5278] eta: 1:35:43 lr: 4.246318957406104e-05 loss: 0.1474 (0.1467) loss_seg: 0.1463 (0.1453) loss_lansim: 0.1089 (0.1230) loss_contra: 0.0024 (0.0185) time: 3.0739 data: 0.0063 max mem: 31630 Epoch: [6] [3390/5278] eta: 1:35:13 lr: 4.246101903040843e-05 loss: 0.1474 (0.1467) loss_seg: 0.1463 (0.1453) loss_lansim: 0.1091 (0.1230) loss_contra: 0.0023 (0.0185) time: 3.0669 data: 0.0064 max mem: 31630 Epoch: [6] [3400/5278] eta: 1:34:42 lr: 4.2458848474427435e-05 loss: 0.1425 (0.1466) loss_seg: 0.1414 (0.1452) loss_lansim: 0.1092 (0.1230) loss_contra: 0.0024 (0.0185) time: 3.0660 data: 0.0064 max mem: 31630 Epoch: [6] [3410/5278] eta: 1:34:12 lr: 4.245667790611726e-05 loss: 0.1449 (0.1467) loss_seg: 0.1437 (0.1453) loss_lansim: 0.1093 (0.1229) loss_contra: 0.0026 (0.0185) time: 3.0694 data: 0.0064 max mem: 31630 Epoch: [6] [3420/5278] eta: 1:33:42 lr: 4.245450732547716e-05 loss: 0.1420 (0.1468) loss_seg: 0.1408 (0.1454) loss_lansim: 0.1093 (0.1229) loss_contra: 0.0027 (0.0185) time: 3.0545 data: 0.0064 max mem: 31630 Epoch: [6] [3430/5278] eta: 1:33:11 lr: 4.245233673250634e-05 loss: 0.1420 (0.1468) loss_seg: 0.1408 (0.1453) loss_lansim: 0.1124 (0.1229) loss_contra: 0.0032 (0.0184) time: 3.0372 data: 0.0064 max mem: 31630 Epoch: [6] [3440/5278] eta: 1:32:41 lr: 4.2450166127204056e-05 loss: 0.1449 (0.1468) loss_seg: 0.1437 (0.1454) loss_lansim: 0.1135 (0.1229) loss_contra: 0.0032 (0.0184) time: 3.0255 data: 0.0064 max mem: 31630 Epoch: [6] [3450/5278] eta: 1:32:10 lr: 4.2447995509569516e-05 loss: 0.1478 (0.1470) loss_seg: 0.1467 (0.1456) loss_lansim: 0.1136 (0.1228) loss_contra: 0.0032 (0.0184) time: 3.0193 data: 0.0064 max mem: 31630 Epoch: [6] [3460/5278] eta: 1:31:40 lr: 4.244582487960195e-05 loss: 0.1470 (0.1470) loss_seg: 0.1456 (0.1456) loss_lansim: 0.1146 (0.1228) loss_contra: 0.0029 (0.0184) time: 3.0093 data: 0.0064 max mem: 31630 Epoch: [6] [3470/5278] eta: 1:31:09 lr: 4.24436542373006e-05 loss: 0.1465 (0.1471) loss_seg: 0.1452 (0.1456) loss_lansim: 0.1151 (0.1228) loss_contra: 0.0032 (0.0184) time: 2.9950 data: 0.0063 max mem: 31630 Epoch: [6] [3480/5278] eta: 1:30:39 lr: 4.2441483582664685e-05 loss: 0.1470 (0.1470) loss_seg: 0.1460 (0.1456) loss_lansim: 0.1151 (0.1228) loss_contra: 0.0029 (0.0184) time: 2.9913 data: 0.0063 max mem: 31630 Epoch: [6] [3490/5278] eta: 1:30:08 lr: 4.243931291569345e-05 loss: 0.1470 (0.1471) loss_seg: 0.1456 (0.1457) loss_lansim: 0.1145 (0.1227) loss_contra: 0.0034 (0.0184) time: 2.9872 data: 0.0062 max mem: 31630 Epoch: [6] [3500/5278] eta: 1:29:38 lr: 4.2437142236386095e-05 loss: 0.1517 (0.1472) loss_seg: 0.1505 (0.1458) loss_lansim: 0.1151 (0.1227) loss_contra: 0.0033 (0.0185) time: 2.9873 data: 0.0062 max mem: 31630 Epoch: [6] [3510/5278] eta: 1:29:07 lr: 4.243497154474187e-05 loss: 0.1529 (0.1472) loss_seg: 0.1516 (0.1458) loss_lansim: 0.1153 (0.1227) loss_contra: 0.0025 (0.0185) time: 2.9782 data: 0.0063 max mem: 31630 Epoch: [6] [3520/5278] eta: 1:28:37 lr: 4.2432800840759995e-05 loss: 0.1529 (0.1473) loss_seg: 0.1516 (0.1458) loss_lansim: 0.1153 (0.1227) loss_contra: 0.0025 (0.0184) time: 2.9819 data: 0.0062 max mem: 31630 Epoch: [6] [3530/5278] eta: 1:28:07 lr: 4.2430630124439706e-05 loss: 0.1561 (0.1473) loss_seg: 0.1548 (0.1459) loss_lansim: 0.1160 (0.1227) loss_contra: 0.0024 (0.0184) time: 2.9858 data: 0.0062 max mem: 31630 Epoch: [6] [3540/5278] eta: 1:27:36 lr: 4.2428459395780234e-05 loss: 0.1519 (0.1472) loss_seg: 0.1507 (0.1458) loss_lansim: 0.1160 (0.1227) loss_contra: 0.0025 (0.0184) time: 2.9895 data: 0.0062 max mem: 31630 Epoch: [6] [3550/5278] eta: 1:27:06 lr: 4.24262886547808e-05 loss: 0.1492 (0.1473) loss_seg: 0.1478 (0.1459) loss_lansim: 0.1166 (0.1227) loss_contra: 0.0024 (0.0184) time: 2.9909 data: 0.0062 max mem: 31630 Epoch: [6] [3560/5278] eta: 1:26:36 lr: 4.2424117901440624e-05 loss: 0.1491 (0.1473) loss_seg: 0.1476 (0.1459) loss_lansim: 0.1171 (0.1227) loss_contra: 0.0024 (0.0183) time: 2.9981 data: 0.0062 max mem: 31630 Epoch: [6] [3570/5278] eta: 1:26:06 lr: 4.2421947135758954e-05 loss: 0.1492 (0.1474) loss_seg: 0.1478 (0.1460) loss_lansim: 0.1181 (0.1227) loss_contra: 0.0022 (0.0183) time: 3.0083 data: 0.0062 max mem: 31630 Epoch: [6] [3580/5278] eta: 1:25:35 lr: 4.2419776357735005e-05 loss: 0.1492 (0.1474) loss_seg: 0.1478 (0.1460) loss_lansim: 0.1181 (0.1227) loss_contra: 0.0025 (0.0182) time: 3.0086 data: 0.0062 max mem: 31630 Epoch: [6] [3590/5278] eta: 1:25:05 lr: 4.241760556736801e-05 loss: 0.1492 (0.1474) loss_seg: 0.1478 (0.1460) loss_lansim: 0.1188 (0.1228) loss_contra: 0.0026 (0.0182) time: 3.0157 data: 0.0061 max mem: 31630 Epoch: [6] [3600/5278] eta: 1:24:35 lr: 4.2415434764657184e-05 loss: 0.1425 (0.1475) loss_seg: 0.1412 (0.1461) loss_lansim: 0.1191 (0.1228) loss_contra: 0.0025 (0.0182) time: 3.0202 data: 0.0061 max mem: 31630 Epoch: [6] [3610/5278] eta: 1:24:05 lr: 4.2413263949601774e-05 loss: 0.1391 (0.1475) loss_seg: 0.1380 (0.1461) loss_lansim: 0.1196 (0.1228) loss_contra: 0.0025 (0.0182) time: 3.0325 data: 0.0060 max mem: 31630 Epoch: [6] [3620/5278] eta: 1:23:35 lr: 4.2411093122201e-05 loss: 0.1379 (0.1474) loss_seg: 0.1366 (0.1460) loss_lansim: 0.1219 (0.1228) loss_contra: 0.0021 (0.0182) time: 3.0331 data: 0.0060 max mem: 31630 Epoch: [6] [3630/5278] eta: 1:23:05 lr: 4.240892228245409e-05 loss: 0.1379 (0.1475) loss_seg: 0.1364 (0.1461) loss_lansim: 0.1238 (0.1228) loss_contra: 0.0021 (0.0184) time: 3.0434 data: 0.0060 max mem: 31630 Epoch: [6] [3640/5278] eta: 1:22:35 lr: 4.240675143036027e-05 loss: 0.1391 (0.1475) loss_seg: 0.1380 (0.1461) loss_lansim: 0.1239 (0.1228) loss_contra: 0.0033 (0.0187) time: 3.0551 data: 0.0060 max mem: 31630 Epoch: [6] [3650/5278] eta: 1:22:05 lr: 4.240458056591877e-05 loss: 0.1379 (0.1475) loss_seg: 0.1365 (0.1461) loss_lansim: 0.1225 (0.1228) loss_contra: 0.0034 (0.0187) time: 3.0640 data: 0.0061 max mem: 31630 Epoch: [6] [3660/5278] eta: 1:21:35 lr: 4.2402409689128805e-05 loss: 0.1391 (0.1475) loss_seg: 0.1380 (0.1461) loss_lansim: 0.1227 (0.1227) loss_contra: 0.0035 (0.0187) time: 3.0685 data: 0.0061 max mem: 31630 Epoch: [6] [3670/5278] eta: 1:21:05 lr: 4.240023879998963e-05 loss: 0.1384 (0.1475) loss_seg: 0.1367 (0.1461) loss_lansim: 0.1231 (0.1227) loss_contra: 0.0036 (0.0187) time: 3.0674 data: 0.0061 max mem: 31630 Epoch: [6] [3680/5278] eta: 1:20:35 lr: 4.2398067898500444e-05 loss: 0.1384 (0.1476) loss_seg: 0.1367 (0.1461) loss_lansim: 0.1235 (0.1227) loss_contra: 0.0039 (0.0187) time: 3.0699 data: 0.0061 max mem: 31630 Epoch: [6] [3690/5278] eta: 1:20:05 lr: 4.239589698466048e-05 loss: 0.1384 (0.1476) loss_seg: 0.1367 (0.1462) loss_lansim: 0.1203 (0.1227) loss_contra: 0.0039 (0.0187) time: 3.0671 data: 0.0061 max mem: 31630 Epoch: [6] [3700/5278] eta: 1:19:34 lr: 4.239372605846899e-05 loss: 0.1426 (0.1476) loss_seg: 0.1414 (0.1462) loss_lansim: 0.1207 (0.1227) loss_contra: 0.0059 (0.0188) time: 3.0629 data: 0.0061 max mem: 31630 Epoch: [6] [3710/5278] eta: 1:19:04 lr: 4.239155511992517e-05 loss: 0.1384 (0.1476) loss_seg: 0.1367 (0.1462) loss_lansim: 0.1204 (0.1227) loss_contra: 0.0071 (0.0189) time: 3.0588 data: 0.0062 max mem: 31630 Epoch: [6] [3720/5278] eta: 1:18:34 lr: 4.238938416902825e-05 loss: 0.1377 (0.1476) loss_seg: 0.1365 (0.1461) loss_lansim: 0.1220 (0.1227) loss_contra: 0.0071 (0.0188) time: 3.0650 data: 0.0062 max mem: 31630 Epoch: [6] [3730/5278] eta: 1:18:04 lr: 4.2387213205777475e-05 loss: 0.1443 (0.1476) loss_seg: 0.1430 (0.1462) loss_lansim: 0.1228 (0.1227) loss_contra: 0.0061 (0.0188) time: 3.0575 data: 0.0061 max mem: 31630 Epoch: [6] [3740/5278] eta: 1:17:34 lr: 4.238504223017206e-05 loss: 0.1437 (0.1476) loss_seg: 0.1426 (0.1462) loss_lansim: 0.1204 (0.1227) loss_contra: 0.0061 (0.0188) time: 3.0486 data: 0.0061 max mem: 31630 Epoch: [6] [3750/5278] eta: 1:17:03 lr: 4.2382871242211224e-05 loss: 0.1437 (0.1476) loss_seg: 0.1426 (0.1462) loss_lansim: 0.1229 (0.1227) loss_contra: 0.0071 (0.0188) time: 3.0387 data: 0.0061 max mem: 31630 Epoch: [6] [3760/5278] eta: 1:16:33 lr: 4.238070024189421e-05 loss: 0.1369 (0.1476) loss_seg: 0.1354 (0.1461) loss_lansim: 0.1229 (0.1228) loss_contra: 0.0073 (0.0188) time: 3.0344 data: 0.0061 max mem: 31630 Epoch: [6] [3770/5278] eta: 1:16:03 lr: 4.2378529229220235e-05 loss: 0.1369 (0.1476) loss_seg: 0.1354 (0.1462) loss_lansim: 0.1228 (0.1228) loss_contra: 0.0074 (0.0189) time: 3.0384 data: 0.0061 max mem: 31630 Epoch: [6] [3780/5278] eta: 1:15:33 lr: 4.2376358204188535e-05 loss: 0.1450 (0.1477) loss_seg: 0.1435 (0.1462) loss_lansim: 0.1229 (0.1228) loss_contra: 0.0079 (0.0189) time: 3.0351 data: 0.0062 max mem: 31630 Epoch: [6] [3790/5278] eta: 1:15:02 lr: 4.237418716679833e-05 loss: 0.1471 (0.1477) loss_seg: 0.1442 (0.1463) loss_lansim: 0.1233 (0.1228) loss_contra: 0.0079 (0.0189) time: 3.0386 data: 0.0062 max mem: 31630 Epoch: [6] [3800/5278] eta: 1:14:32 lr: 4.237201611704883e-05 loss: 0.1449 (0.1477) loss_seg: 0.1430 (0.1463) loss_lansim: 0.1232 (0.1228) loss_contra: 0.0055 (0.0188) time: 3.0416 data: 0.0062 max mem: 31630 Epoch: [6] [3810/5278] eta: 1:14:02 lr: 4.236984505493928e-05 loss: 0.1471 (0.1478) loss_seg: 0.1442 (0.1463) loss_lansim: 0.1232 (0.1228) loss_contra: 0.0044 (0.0189) time: 3.0435 data: 0.0062 max mem: 31630 Epoch: [6] [3820/5278] eta: 1:13:32 lr: 4.2367673980468904e-05 loss: 0.1509 (0.1478) loss_seg: 0.1494 (0.1464) loss_lansim: 0.1227 (0.1227) loss_contra: 0.0047 (0.0189) time: 3.0383 data: 0.0062 max mem: 31630 Epoch: [6] [3830/5278] eta: 1:13:02 lr: 4.2365502893636935e-05 loss: 0.1496 (0.1478) loss_seg: 0.1480 (0.1464) loss_lansim: 0.1211 (0.1227) loss_contra: 0.0055 (0.0189) time: 3.0415 data: 0.0064 max mem: 31630 Epoch: [6] [3840/5278] eta: 1:12:32 lr: 4.2363331794442575e-05 loss: 0.1525 (0.1478) loss_seg: 0.1514 (0.1464) loss_lansim: 0.1211 (0.1227) loss_contra: 0.0049 (0.0189) time: 3.0394 data: 0.0064 max mem: 31630 Epoch: [6] [3850/5278] eta: 1:12:01 lr: 4.2361160682885064e-05 loss: 0.1513 (0.1478) loss_seg: 0.1501 (0.1464) loss_lansim: 0.1203 (0.1227) loss_contra: 0.0043 (0.0189) time: 3.0431 data: 0.0064 max mem: 31630 Epoch: [6] [3860/5278] eta: 1:11:31 lr: 4.235898955896364e-05 loss: 0.1525 (0.1479) loss_seg: 0.1514 (0.1465) loss_lansim: 0.1180 (0.1226) loss_contra: 0.0038 (0.0188) time: 3.0450 data: 0.0064 max mem: 31630 Epoch: [6] [3870/5278] eta: 1:11:01 lr: 4.23568184226775e-05 loss: 0.1525 (0.1479) loss_seg: 0.1504 (0.1464) loss_lansim: 0.1170 (0.1226) loss_contra: 0.0032 (0.0188) time: 3.0409 data: 0.0065 max mem: 31630 Epoch: [6] [3880/5278] eta: 1:10:31 lr: 4.23546472740259e-05 loss: 0.1508 (0.1479) loss_seg: 0.1494 (0.1465) loss_lansim: 0.1154 (0.1226) loss_contra: 0.0026 (0.0188) time: 3.0476 data: 0.0065 max mem: 31630 Epoch: [6] [3890/5278] eta: 1:10:00 lr: 4.235247611300803e-05 loss: 0.1432 (0.1478) loss_seg: 0.1422 (0.1464) loss_lansim: 0.1103 (0.1225) loss_contra: 0.0022 (0.0188) time: 3.0434 data: 0.0065 max mem: 31630 Epoch: [6] [3900/5278] eta: 1:09:30 lr: 4.2350304939623146e-05 loss: 0.1463 (0.1478) loss_seg: 0.1452 (0.1464) loss_lansim: 0.1094 (0.1224) loss_contra: 0.0023 (0.0187) time: 3.0402 data: 0.0065 max mem: 31630 Epoch: [6] [3910/5278] eta: 1:09:00 lr: 4.2348133753870476e-05 loss: 0.1432 (0.1478) loss_seg: 0.1417 (0.1464) loss_lansim: 0.1068 (0.1224) loss_contra: 0.0020 (0.0187) time: 3.0370 data: 0.0065 max mem: 31630 Epoch: [6] [3920/5278] eta: 1:08:30 lr: 4.234596255574921e-05 loss: 0.1432 (0.1478) loss_seg: 0.1422 (0.1464) loss_lansim: 0.1048 (0.1223) loss_contra: 0.0020 (0.0187) time: 3.0374 data: 0.0065 max mem: 31630 Epoch: [6] [3930/5278] eta: 1:07:59 lr: 4.2343791345258606e-05 loss: 0.1395 (0.1477) loss_seg: 0.1383 (0.1463) loss_lansim: 0.1039 (0.1223) loss_contra: 0.0021 (0.0187) time: 3.0345 data: 0.0064 max mem: 31630 Epoch: [6] [3940/5278] eta: 1:07:29 lr: 4.2341620122397876e-05 loss: 0.1428 (0.1478) loss_seg: 0.1417 (0.1464) loss_lansim: 0.1020 (0.1222) loss_contra: 0.0016 (0.0186) time: 3.0400 data: 0.0065 max mem: 31630 Epoch: [6] [3950/5278] eta: 1:07:00 lr: 4.233944888716625e-05 loss: 0.1447 (0.1478) loss_seg: 0.1436 (0.1464) loss_lansim: 0.1007 (0.1222) loss_contra: 0.0016 (0.0186) time: 3.0512 data: 0.0066 max mem: 31630 Epoch: [6] [3960/5278] eta: 1:06:30 lr: 4.2337277639562936e-05 loss: 0.1432 (0.1478) loss_seg: 0.1422 (0.1464) loss_lansim: 0.1008 (0.1221) loss_contra: 0.0016 (0.0186) time: 3.0582 data: 0.0066 max mem: 31630 Epoch: [6] [3970/5278] eta: 1:06:00 lr: 4.233510637958718e-05 loss: 0.1439 (0.1478) loss_seg: 0.1430 (0.1464) loss_lansim: 0.1005 (0.1221) loss_contra: 0.0018 (0.0186) time: 3.0669 data: 0.0066 max mem: 31630 Epoch: [6] [3980/5278] eta: 1:05:29 lr: 4.23329351072382e-05 loss: 0.1447 (0.1478) loss_seg: 0.1436 (0.1464) loss_lansim: 0.1005 (0.1220) loss_contra: 0.0018 (0.0186) time: 3.0655 data: 0.0068 max mem: 31630 Epoch: [6] [3990/5278] eta: 1:04:59 lr: 4.233076382251521e-05 loss: 0.1452 (0.1478) loss_seg: 0.1441 (0.1464) loss_lansim: 0.1004 (0.1220) loss_contra: 0.0019 (0.0185) time: 3.0640 data: 0.0068 max mem: 31630 Epoch: [6] [4000/5278] eta: 1:04:29 lr: 4.232859252541745e-05 loss: 0.1469 (0.1478) loss_seg: 0.1449 (0.1464) loss_lansim: 0.1004 (0.1219) loss_contra: 0.0016 (0.0185) time: 3.0683 data: 0.0068 max mem: 31630 Epoch: [6] [4010/5278] eta: 1:03:59 lr: 4.232642121594413e-05 loss: 0.1505 (0.1479) loss_seg: 0.1490 (0.1464) loss_lansim: 0.1012 (0.1219) loss_contra: 0.0016 (0.0185) time: 3.0665 data: 0.0068 max mem: 31630 Epoch: [6] [4020/5278] eta: 1:03:28 lr: 4.232424989409448e-05 loss: 0.1540 (0.1478) loss_seg: 0.1530 (0.1464) loss_lansim: 0.1006 (0.1218) loss_contra: 0.0021 (0.0184) time: 3.0658 data: 0.0068 max mem: 31630 Epoch: [6] [4030/5278] eta: 1:02:58 lr: 4.232207855986773e-05 loss: 0.1554 (0.1479) loss_seg: 0.1545 (0.1465) loss_lansim: 0.1005 (0.1218) loss_contra: 0.0019 (0.0184) time: 3.0629 data: 0.0069 max mem: 31630 Epoch: [6] [4040/5278] eta: 1:02:28 lr: 4.2319907213263096e-05 loss: 0.1554 (0.1479) loss_seg: 0.1545 (0.1465) loss_lansim: 0.1005 (0.1217) loss_contra: 0.0021 (0.0184) time: 3.0587 data: 0.0069 max mem: 31630 Epoch: [6] [4050/5278] eta: 1:01:57 lr: 4.23177358542798e-05 loss: 0.1566 (0.1480) loss_seg: 0.1554 (0.1466) loss_lansim: 0.1000 (0.1217) loss_contra: 0.0020 (0.0184) time: 3.0439 data: 0.0068 max mem: 31630 Epoch: [6] [4060/5278] eta: 1:01:27 lr: 4.231556448291707e-05 loss: 0.1572 (0.1481) loss_seg: 0.1561 (0.1467) loss_lansim: 0.1005 (0.1216) loss_contra: 0.0019 (0.0183) time: 3.0357 data: 0.0069 max mem: 31630 Epoch: [6] [4070/5278] eta: 1:00:57 lr: 4.2313393099174136e-05 loss: 0.1572 (0.1481) loss_seg: 0.1561 (0.1467) loss_lansim: 0.1018 (0.1216) loss_contra: 0.0020 (0.0183) time: 3.0269 data: 0.0069 max mem: 31630 Epoch: [6] [4080/5278] eta: 1:00:27 lr: 4.231122170305021e-05 loss: 0.1619 (0.1482) loss_seg: 0.1605 (0.1468) loss_lansim: 0.1030 (0.1216) loss_contra: 0.0022 (0.0183) time: 3.0262 data: 0.0068 max mem: 31630 Epoch: [6] [4090/5278] eta: 0:59:56 lr: 4.2309050294544514e-05 loss: 0.1600 (0.1482) loss_seg: 0.1589 (0.1468) loss_lansim: 0.1030 (0.1215) loss_contra: 0.0019 (0.0183) time: 3.0304 data: 0.0068 max mem: 31630 Epoch: [6] [4100/5278] eta: 0:59:26 lr: 4.230687887365628e-05 loss: 0.1559 (0.1482) loss_seg: 0.1550 (0.1468) loss_lansim: 0.1018 (0.1214) loss_contra: 0.0022 (0.0183) time: 3.0295 data: 0.0069 max mem: 31630 Epoch: [6] [4110/5278] eta: 0:58:56 lr: 4.2304707440384736e-05 loss: 0.1495 (0.1482) loss_seg: 0.1487 (0.1468) loss_lansim: 0.0987 (0.1214) loss_contra: 0.0022 (0.0183) time: 3.0389 data: 0.0069 max mem: 31630 Epoch: [6] [4120/5278] eta: 0:58:26 lr: 4.2302535994729106e-05 loss: 0.1473 (0.1482) loss_seg: 0.1457 (0.1468) loss_lansim: 0.0985 (0.1213) loss_contra: 0.0023 (0.0184) time: 3.0396 data: 0.0069 max mem: 31630 Epoch: [6] [4130/5278] eta: 0:57:56 lr: 4.230036453668859e-05 loss: 0.1460 (0.1482) loss_seg: 0.1451 (0.1468) loss_lansim: 0.0982 (0.1213) loss_contra: 0.0029 (0.0184) time: 3.0432 data: 0.0069 max mem: 31630 Epoch: [6] [4140/5278] eta: 0:57:25 lr: 4.229819306626243e-05 loss: 0.1447 (0.1482) loss_seg: 0.1429 (0.1468) loss_lansim: 0.0982 (0.1212) loss_contra: 0.0039 (0.0184) time: 3.0397 data: 0.0069 max mem: 31630 Epoch: [6] [4150/5278] eta: 0:56:55 lr: 4.229602158344984e-05 loss: 0.1439 (0.1482) loss_seg: 0.1420 (0.1468) loss_lansim: 0.0982 (0.1211) loss_contra: 0.0049 (0.0184) time: 3.0473 data: 0.0068 max mem: 31630 Epoch: [6] [4160/5278] eta: 0:56:25 lr: 4.2293850088250054e-05 loss: 0.1418 (0.1482) loss_seg: 0.1406 (0.1468) loss_lansim: 0.0977 (0.1211) loss_contra: 0.0049 (0.0183) time: 3.0489 data: 0.0068 max mem: 31630 Epoch: [6] [4170/5278] eta: 0:55:55 lr: 4.229167858066228e-05 loss: 0.1425 (0.1482) loss_seg: 0.1415 (0.1468) loss_lansim: 0.0972 (0.1210) loss_contra: 0.0039 (0.0183) time: 3.0533 data: 0.0067 max mem: 31630 Epoch: [6] [4180/5278] eta: 0:55:24 lr: 4.228950706068575e-05 loss: 0.1394 (0.1483) loss_seg: 0.1383 (0.1469) loss_lansim: 0.0954 (0.1210) loss_contra: 0.0054 (0.0183) time: 3.0505 data: 0.0067 max mem: 31630 Epoch: [6] [4190/5278] eta: 0:54:54 lr: 4.228733552831969e-05 loss: 0.1401 (0.1483) loss_seg: 0.1391 (0.1469) loss_lansim: 0.0938 (0.1209) loss_contra: 0.0058 (0.0183) time: 3.0514 data: 0.0067 max mem: 31630 Epoch: [6] [4200/5278] eta: 0:54:24 lr: 4.228516398356332e-05 loss: 0.1395 (0.1483) loss_seg: 0.1385 (0.1469) loss_lansim: 0.0937 (0.1208) loss_contra: 0.0054 (0.0184) time: 3.0490 data: 0.0066 max mem: 31630 Epoch: [6] [4210/5278] eta: 0:53:54 lr: 4.2282992426415854e-05 loss: 0.1425 (0.1484) loss_seg: 0.1415 (0.1470) loss_lansim: 0.0924 (0.1207) loss_contra: 0.0058 (0.0185) time: 3.0433 data: 0.0066 max mem: 31630 Epoch: [6] [4220/5278] eta: 0:53:23 lr: 4.228082085687652e-05 loss: 0.1425 (0.1484) loss_seg: 0.1415 (0.1470) loss_lansim: 0.0923 (0.1207) loss_contra: 0.0055 (0.0185) time: 3.0396 data: 0.0065 max mem: 31630 Epoch: [6] [4230/5278] eta: 0:52:53 lr: 4.227864927494455e-05 loss: 0.1426 (0.1484) loss_seg: 0.1415 (0.1470) loss_lansim: 0.0923 (0.1206) loss_contra: 0.0049 (0.0185) time: 3.0414 data: 0.0065 max mem: 31630 Epoch: [6] [4240/5278] eta: 0:52:23 lr: 4.227647768061914e-05 loss: 0.1483 (0.1485) loss_seg: 0.1475 (0.1471) loss_lansim: 0.0911 (0.1205) loss_contra: 0.0049 (0.0185) time: 3.0521 data: 0.0064 max mem: 31630 Epoch: [6] [4250/5278] eta: 0:51:53 lr: 4.227430607389954e-05 loss: 0.1474 (0.1485) loss_seg: 0.1454 (0.1471) loss_lansim: 0.0923 (0.1205) loss_contra: 0.0041 (0.0185) time: 3.0496 data: 0.0064 max mem: 31630 Epoch: [6] [4260/5278] eta: 0:51:23 lr: 4.227213445478495e-05 loss: 0.1482 (0.1485) loss_seg: 0.1469 (0.1471) loss_lansim: 0.0924 (0.1205) loss_contra: 0.0049 (0.0185) time: 3.0514 data: 0.0064 max mem: 31630 Epoch: [6] [4270/5278] eta: 0:50:53 lr: 4.2269962823274604e-05 loss: 0.1477 (0.1485) loss_seg: 0.1454 (0.1471) loss_lansim: 0.0926 (0.1204) loss_contra: 0.0041 (0.0185) time: 3.0570 data: 0.0064 max mem: 31630 Epoch: [6] [4280/5278] eta: 0:50:22 lr: 4.2267791179367735e-05 loss: 0.1482 (0.1485) loss_seg: 0.1469 (0.1471) loss_lansim: 0.0926 (0.1204) loss_contra: 0.0035 (0.0185) time: 3.0657 data: 0.0064 max mem: 31630 Epoch: [6] [4290/5278] eta: 0:49:52 lr: 4.2265619523063536e-05 loss: 0.1477 (0.1484) loss_seg: 0.1454 (0.1471) loss_lansim: 0.0937 (0.1203) loss_contra: 0.0035 (0.0184) time: 3.0635 data: 0.0064 max mem: 31630 Epoch: [6] [4300/5278] eta: 0:49:22 lr: 4.226344785436125e-05 loss: 0.1477 (0.1484) loss_seg: 0.1469 (0.1470) loss_lansim: 0.0950 (0.1203) loss_contra: 0.0034 (0.0184) time: 3.0660 data: 0.0065 max mem: 31630 Epoch: [6] [4310/5278] eta: 0:48:52 lr: 4.2261276173260084e-05 loss: 0.1423 (0.1485) loss_seg: 0.1410 (0.1471) loss_lansim: 0.0983 (0.1202) loss_contra: 0.0021 (0.0184) time: 3.0644 data: 0.0064 max mem: 31630 Epoch: [6] [4320/5278] eta: 0:48:21 lr: 4.225910447975927e-05 loss: 0.1418 (0.1485) loss_seg: 0.1407 (0.1471) loss_lansim: 0.0999 (0.1202) loss_contra: 0.0017 (0.0183) time: 3.0686 data: 0.0064 max mem: 31630 Epoch: [6] [4330/5278] eta: 0:47:51 lr: 4.2256932773858035e-05 loss: 0.1423 (0.1485) loss_seg: 0.1410 (0.1471) loss_lansim: 0.0999 (0.1202) loss_contra: 0.0021 (0.0183) time: 3.0669 data: 0.0064 max mem: 31630 Epoch: [6] [4340/5278] eta: 0:47:21 lr: 4.2254761055555584e-05 loss: 0.1344 (0.1485) loss_seg: 0.1334 (0.1471) loss_lansim: 0.0999 (0.1201) loss_contra: 0.0016 (0.0183) time: 3.0594 data: 0.0064 max mem: 31630 Epoch: [6] [4350/5278] eta: 0:46:51 lr: 4.225258932485114e-05 loss: 0.1401 (0.1485) loss_seg: 0.1391 (0.1472) loss_lansim: 0.0995 (0.1201) loss_contra: 0.0017 (0.0183) time: 3.0576 data: 0.0064 max mem: 31630 Epoch: [6] [4360/5278] eta: 0:46:20 lr: 4.225041758174394e-05 loss: 0.1397 (0.1485) loss_seg: 0.1383 (0.1471) loss_lansim: 0.0995 (0.1200) loss_contra: 0.0017 (0.0183) time: 3.0537 data: 0.0064 max mem: 31630 Epoch: [6] [4370/5278] eta: 0:45:50 lr: 4.224824582623318e-05 loss: 0.1377 (0.1485) loss_seg: 0.1367 (0.1471) loss_lansim: 0.0986 (0.1199) loss_contra: 0.0018 (0.0182) time: 3.0415 data: 0.0064 max mem: 31630 Epoch: [6] [4380/5278] eta: 0:45:20 lr: 4.224607405831811e-05 loss: 0.1380 (0.1485) loss_seg: 0.1367 (0.1471) loss_lansim: 0.0985 (0.1199) loss_contra: 0.0021 (0.0183) time: 3.0349 data: 0.0064 max mem: 31630 Epoch: [6] [4390/5278] eta: 0:44:49 lr: 4.2243902277997924e-05 loss: 0.1401 (0.1486) loss_seg: 0.1391 (0.1472) loss_lansim: 0.0984 (0.1198) loss_contra: 0.0020 (0.0182) time: 3.0352 data: 0.0065 max mem: 31630 Epoch: [6] [4400/5278] eta: 0:44:19 lr: 4.224173048527186e-05 loss: 0.1401 (0.1487) loss_seg: 0.1391 (0.1473) loss_lansim: 0.0980 (0.1198) loss_contra: 0.0020 (0.0182) time: 3.0347 data: 0.0064 max mem: 31630 Epoch: [6] [4410/5278] eta: 0:43:49 lr: 4.223955868013913e-05 loss: 0.1380 (0.1486) loss_seg: 0.1367 (0.1472) loss_lansim: 0.0974 (0.1197) loss_contra: 0.0021 (0.0182) time: 3.0367 data: 0.0064 max mem: 31630 Epoch: [6] [4420/5278] eta: 0:43:19 lr: 4.223738686259895e-05 loss: 0.1401 (0.1486) loss_seg: 0.1391 (0.1472) loss_lansim: 0.0978 (0.1197) loss_contra: 0.0026 (0.0182) time: 3.0358 data: 0.0064 max mem: 31630 Epoch: [6] [4430/5278] eta: 0:42:48 lr: 4.223521503265055e-05 loss: 0.1380 (0.1486) loss_seg: 0.1367 (0.1472) loss_lansim: 0.0974 (0.1197) loss_contra: 0.0021 (0.0182) time: 3.0309 data: 0.0064 max mem: 31630 Epoch: [6] [4440/5278] eta: 0:42:18 lr: 4.223304319029316e-05 loss: 0.1405 (0.1486) loss_seg: 0.1396 (0.1472) loss_lansim: 0.0978 (0.1196) loss_contra: 0.0022 (0.0182) time: 3.0309 data: 0.0064 max mem: 31630 Epoch: [6] [4450/5278] eta: 0:41:48 lr: 4.2230871335525976e-05 loss: 0.1387 (0.1486) loss_seg: 0.1378 (0.1473) loss_lansim: 0.0980 (0.1196) loss_contra: 0.0032 (0.0182) time: 3.0259 data: 0.0064 max mem: 31630 Epoch: [6] [4460/5278] eta: 0:41:17 lr: 4.222869946834822e-05 loss: 0.1428 (0.1486) loss_seg: 0.1418 (0.1472) loss_lansim: 0.0977 (0.1195) loss_contra: 0.0028 (0.0182) time: 3.0216 data: 0.0064 max mem: 31630 Epoch: [6] [4470/5278] eta: 0:40:47 lr: 4.222652758875913e-05 loss: 0.1428 (0.1486) loss_seg: 0.1416 (0.1472) loss_lansim: 0.0981 (0.1195) loss_contra: 0.0024 (0.0181) time: 3.0272 data: 0.0063 max mem: 31630 Epoch: [6] [4480/5278] eta: 0:40:17 lr: 4.222435569675792e-05 loss: 0.1428 (0.1485) loss_seg: 0.1416 (0.1472) loss_lansim: 0.0981 (0.1194) loss_contra: 0.0022 (0.0181) time: 3.0295 data: 0.0063 max mem: 31630 Epoch: [6] [4490/5278] eta: 0:39:47 lr: 4.22221837923438e-05 loss: 0.1392 (0.1486) loss_seg: 0.1382 (0.1472) loss_lansim: 0.0982 (0.1194) loss_contra: 0.0028 (0.0181) time: 3.0325 data: 0.0062 max mem: 31630 Epoch: [6] [4500/5278] eta: 0:39:16 lr: 4.2220011875516e-05 loss: 0.1389 (0.1486) loss_seg: 0.1378 (0.1472) loss_lansim: 0.0986 (0.1193) loss_contra: 0.0028 (0.0181) time: 3.0334 data: 0.0062 max mem: 31630 Epoch: [6] [4510/5278] eta: 0:38:46 lr: 4.221783994627373e-05 loss: 0.1400 (0.1486) loss_seg: 0.1390 (0.1472) loss_lansim: 0.0992 (0.1193) loss_contra: 0.0027 (0.0181) time: 3.0297 data: 0.0063 max mem: 31630 Epoch: [6] [4520/5278] eta: 0:38:16 lr: 4.2215668004616217e-05 loss: 0.1421 (0.1486) loss_seg: 0.1410 (0.1473) loss_lansim: 0.0986 (0.1193) loss_contra: 0.0024 (0.0181) time: 3.0345 data: 0.0062 max mem: 31630 Epoch: [6] [4530/5278] eta: 0:37:45 lr: 4.2213496050542673e-05 loss: 0.1436 (0.1487) loss_seg: 0.1425 (0.1473) loss_lansim: 0.0986 (0.1192) loss_contra: 0.0024 (0.0181) time: 3.0408 data: 0.0062 max mem: 31630 Epoch: [6] [4540/5278] eta: 0:37:15 lr: 4.221132408405233e-05 loss: 0.1436 (0.1487) loss_seg: 0.1425 (0.1473) loss_lansim: 0.0993 (0.1192) loss_contra: 0.0022 (0.0180) time: 3.0437 data: 0.0062 max mem: 31630 Epoch: [6] [4550/5278] eta: 0:36:45 lr: 4.220915210514439e-05 loss: 0.1400 (0.1487) loss_seg: 0.1390 (0.1473) loss_lansim: 0.0989 (0.1191) loss_contra: 0.0012 (0.0180) time: 3.0504 data: 0.0062 max mem: 31630 Epoch: [6] [4560/5278] eta: 0:36:15 lr: 4.22069801138181e-05 loss: 0.1389 (0.1487) loss_seg: 0.1378 (0.1473) loss_lansim: 0.0989 (0.1191) loss_contra: 0.0012 (0.0180) time: 3.0596 data: 0.0063 max mem: 31630 Epoch: [6] [4570/5278] eta: 0:35:45 lr: 4.2204808110072644e-05 loss: 0.1421 (0.1487) loss_seg: 0.1410 (0.1473) loss_lansim: 0.0988 (0.1190) loss_contra: 0.0012 (0.0179) time: 3.0650 data: 0.0063 max mem: 31630 Epoch: [6] [4580/5278] eta: 0:35:14 lr: 4.220263609390726e-05 loss: 0.1463 (0.1487) loss_seg: 0.1453 (0.1473) loss_lansim: 0.0986 (0.1190) loss_contra: 0.0015 (0.0179) time: 3.0678 data: 0.0063 max mem: 31630 Epoch: [6] [4590/5278] eta: 0:34:44 lr: 4.220046406532117e-05 loss: 0.1446 (0.1486) loss_seg: 0.1435 (0.1473) loss_lansim: 0.0983 (0.1189) loss_contra: 0.0012 (0.0179) time: 3.0555 data: 0.0064 max mem: 31630 Epoch: [6] [4600/5278] eta: 0:34:14 lr: 4.2198292024313576e-05 loss: 0.1446 (0.1487) loss_seg: 0.1435 (0.1473) loss_lansim: 0.0983 (0.1189) loss_contra: 0.0012 (0.0179) time: 3.0438 data: 0.0063 max mem: 31630 Epoch: [6] [4610/5278] eta: 0:33:43 lr: 4.2196119970883705e-05 loss: 0.1424 (0.1486) loss_seg: 0.1414 (0.1473) loss_lansim: 0.0978 (0.1189) loss_contra: 0.0018 (0.0179) time: 3.0376 data: 0.0063 max mem: 31630 Epoch: [6] [4620/5278] eta: 0:33:13 lr: 4.219394790503079e-05 loss: 0.1401 (0.1486) loss_seg: 0.1392 (0.1472) loss_lansim: 0.0983 (0.1188) loss_contra: 0.0019 (0.0179) time: 3.0208 data: 0.0062 max mem: 31630 Epoch: [6] [4630/5278] eta: 0:32:42 lr: 4.219177582675403e-05 loss: 0.1308 (0.1486) loss_seg: 0.1299 (0.1472) loss_lansim: 0.0975 (0.1188) loss_contra: 0.0023 (0.0179) time: 3.0110 data: 0.0062 max mem: 31630 Epoch: [6] [4640/5278] eta: 0:32:12 lr: 4.218960373605265e-05 loss: 0.1270 (0.1486) loss_seg: 0.1260 (0.1472) loss_lansim: 0.0966 (0.1187) loss_contra: 0.0024 (0.0179) time: 3.0134 data: 0.0062 max mem: 31630 Epoch: [6] [4650/5278] eta: 0:31:42 lr: 4.2187431632925875e-05 loss: 0.1313 (0.1486) loss_seg: 0.1304 (0.1472) loss_lansim: 0.0966 (0.1187) loss_contra: 0.0027 (0.0178) time: 2.9962 data: 0.0062 max mem: 31630 Epoch: [6] [4660/5278] eta: 0:31:11 lr: 4.218525951737291e-05 loss: 0.1327 (0.1486) loss_seg: 0.1317 (0.1472) loss_lansim: 0.0973 (0.1186) loss_contra: 0.0027 (0.0178) time: 2.9844 data: 0.0062 max mem: 31630 Epoch: [6] [4670/5278] eta: 0:30:41 lr: 4.218308738939297e-05 loss: 0.1327 (0.1486) loss_seg: 0.1317 (0.1472) loss_lansim: 0.0973 (0.1186) loss_contra: 0.0026 (0.0178) time: 2.9714 data: 0.0061 max mem: 31630 Epoch: [6] [4680/5278] eta: 0:30:11 lr: 4.2180915248985297e-05 loss: 0.1286 (0.1485) loss_seg: 0.1272 (0.1472) loss_lansim: 0.0966 (0.1185) loss_contra: 0.0022 (0.0178) time: 2.9560 data: 0.0060 max mem: 31630 Epoch: [6] [4690/5278] eta: 0:29:40 lr: 4.217874309614909e-05 loss: 0.1286 (0.1485) loss_seg: 0.1272 (0.1472) loss_lansim: 0.0977 (0.1185) loss_contra: 0.0024 (0.0177) time: 2.9593 data: 0.0060 max mem: 31630 Epoch: [6] [4700/5278] eta: 0:29:10 lr: 4.217657093088357e-05 loss: 0.1313 (0.1485) loss_seg: 0.1304 (0.1471) loss_lansim: 0.0977 (0.1185) loss_contra: 0.0025 (0.0177) time: 2.9615 data: 0.0061 max mem: 31630 Epoch: [6] [4710/5278] eta: 0:28:39 lr: 4.217439875318795e-05 loss: 0.1371 (0.1485) loss_seg: 0.1360 (0.1472) loss_lansim: 0.0974 (0.1184) loss_contra: 0.0022 (0.0177) time: 2.9628 data: 0.0061 max mem: 31630 Epoch: [6] [4720/5278] eta: 0:28:09 lr: 4.217222656306146e-05 loss: 0.1421 (0.1485) loss_seg: 0.1412 (0.1472) loss_lansim: 0.0973 (0.1184) loss_contra: 0.0017 (0.0177) time: 2.9659 data: 0.0062 max mem: 31630 Epoch: [6] [4730/5278] eta: 0:27:39 lr: 4.2170054360503306e-05 loss: 0.1421 (0.1485) loss_seg: 0.1412 (0.1472) loss_lansim: 0.0973 (0.1184) loss_contra: 0.0015 (0.0177) time: 2.9627 data: 0.0062 max mem: 31630 Epoch: [6] [4740/5278] eta: 0:27:08 lr: 4.216788214551271e-05 loss: 0.1413 (0.1485) loss_seg: 0.1404 (0.1471) loss_lansim: 0.0976 (0.1183) loss_contra: 0.0012 (0.0176) time: 2.9504 data: 0.0062 max mem: 31630 Epoch: [6] [4750/5278] eta: 0:26:38 lr: 4.2165709918088894e-05 loss: 0.1400 (0.1484) loss_seg: 0.1385 (0.1471) loss_lansim: 0.0992 (0.1183) loss_contra: 0.0012 (0.0176) time: 2.9565 data: 0.0062 max mem: 31630 Epoch: [6] [4760/5278] eta: 0:26:08 lr: 4.216353767823106e-05 loss: 0.1371 (0.1485) loss_seg: 0.1360 (0.1471) loss_lansim: 0.0996 (0.1183) loss_contra: 0.0012 (0.0176) time: 2.9532 data: 0.0062 max mem: 31630 Epoch: [6] [4770/5278] eta: 0:25:37 lr: 4.216136542593844e-05 loss: 0.1336 (0.1485) loss_seg: 0.1326 (0.1471) loss_lansim: 0.1011 (0.1182) loss_contra: 0.0012 (0.0176) time: 2.9475 data: 0.0062 max mem: 31630 Epoch: [6] [4780/5278] eta: 0:25:07 lr: 4.2159193161210253e-05 loss: 0.1332 (0.1485) loss_seg: 0.1320 (0.1471) loss_lansim: 0.1036 (0.1182) loss_contra: 0.0014 (0.0176) time: 2.9488 data: 0.0062 max mem: 31630 Epoch: [6] [4790/5278] eta: 0:24:36 lr: 4.21570208840457e-05 loss: 0.1363 (0.1485) loss_seg: 0.1353 (0.1471) loss_lansim: 0.1045 (0.1182) loss_contra: 0.0017 (0.0175) time: 2.9425 data: 0.0062 max mem: 31630 Epoch: [6] [4800/5278] eta: 0:24:06 lr: 4.215484859444401e-05 loss: 0.1384 (0.1485) loss_seg: 0.1372 (0.1472) loss_lansim: 0.1050 (0.1182) loss_contra: 0.0014 (0.0175) time: 2.9356 data: 0.0062 max mem: 31630 Epoch: [6] [4810/5278] eta: 0:23:36 lr: 4.2152676292404394e-05 loss: 0.1365 (0.1486) loss_seg: 0.1353 (0.1472) loss_lansim: 0.1066 (0.1182) loss_contra: 0.0014 (0.0175) time: 2.9246 data: 0.0062 max mem: 31630 Epoch: [6] [4820/5278] eta: 0:23:05 lr: 4.215050397792607e-05 loss: 0.1363 (0.1486) loss_seg: 0.1353 (0.1472) loss_lansim: 0.1066 (0.1182) loss_contra: 0.0017 (0.0175) time: 2.9216 data: 0.0061 max mem: 31630 Epoch: [6] [4830/5278] eta: 0:22:35 lr: 4.214833165100827e-05 loss: 0.1365 (0.1485) loss_seg: 0.1353 (0.1472) loss_lansim: 0.1070 (0.1181) loss_contra: 0.0017 (0.0175) time: 2.9221 data: 0.0061 max mem: 31630 Epoch: [6] [4840/5278] eta: 0:22:05 lr: 4.2146159311650175e-05 loss: 0.1363 (0.1485) loss_seg: 0.1353 (0.1472) loss_lansim: 0.1066 (0.1181) loss_contra: 0.0018 (0.0175) time: 2.9138 data: 0.0061 max mem: 31630 Epoch: [6] [4850/5278] eta: 0:21:34 lr: 4.214398695985103e-05 loss: 0.1419 (0.1486) loss_seg: 0.1410 (0.1472) loss_lansim: 0.1070 (0.1181) loss_contra: 0.0017 (0.0174) time: 2.9037 data: 0.0060 max mem: 31630 Epoch: [6] [4860/5278] eta: 0:21:04 lr: 4.214181459561004e-05 loss: 0.1419 (0.1486) loss_seg: 0.1410 (0.1473) loss_lansim: 0.1071 (0.1181) loss_contra: 0.0018 (0.0174) time: 2.8995 data: 0.0059 max mem: 31630 Epoch: [6] [4870/5278] eta: 0:20:33 lr: 4.213964221892643e-05 loss: 0.1458 (0.1486) loss_seg: 0.1447 (0.1473) loss_lansim: 0.1076 (0.1180) loss_contra: 0.0022 (0.0174) time: 2.8973 data: 0.0059 max mem: 31630 Epoch: [6] [4880/5278] eta: 0:20:03 lr: 4.213746982979941e-05 loss: 0.1475 (0.1486) loss_seg: 0.1463 (0.1473) loss_lansim: 0.1076 (0.1180) loss_contra: 0.0022 (0.0174) time: 2.8863 data: 0.0059 max mem: 31630 Epoch: [6] [4890/5278] eta: 0:19:33 lr: 4.2135297428228194e-05 loss: 0.1485 (0.1487) loss_seg: 0.1473 (0.1473) loss_lansim: 0.1074 (0.1180) loss_contra: 0.0021 (0.0174) time: 2.8867 data: 0.0059 max mem: 31630 Epoch: [6] [4900/5278] eta: 0:19:02 lr: 4.2133125014212e-05 loss: 0.1485 (0.1487) loss_seg: 0.1473 (0.1473) loss_lansim: 0.1076 (0.1180) loss_contra: 0.0022 (0.0173) time: 2.8845 data: 0.0058 max mem: 31630 Epoch: [6] [4910/5278] eta: 0:18:32 lr: 4.2130952587750046e-05 loss: 0.1432 (0.1487) loss_seg: 0.1421 (0.1473) loss_lansim: 0.1071 (0.1180) loss_contra: 0.0022 (0.0173) time: 2.8871 data: 0.0059 max mem: 31630 Epoch: [6] [4920/5278] eta: 0:18:02 lr: 4.2128780148841545e-05 loss: 0.1434 (0.1487) loss_seg: 0.1424 (0.1473) loss_lansim: 0.1080 (0.1180) loss_contra: 0.0019 (0.0173) time: 2.8915 data: 0.0059 max mem: 31630 Epoch: [6] [4930/5278] eta: 0:17:31 lr: 4.212660769748571e-05 loss: 0.1432 (0.1487) loss_seg: 0.1421 (0.1473) loss_lansim: 0.1087 (0.1179) loss_contra: 0.0019 (0.0173) time: 2.8943 data: 0.0060 max mem: 31630 Epoch: [6] [4940/5278] eta: 0:17:01 lr: 4.212443523368176e-05 loss: 0.1473 (0.1487) loss_seg: 0.1461 (0.1473) loss_lansim: 0.1085 (0.1179) loss_contra: 0.0016 (0.0172) time: 2.8926 data: 0.0060 max mem: 31630 Epoch: [6] [4950/5278] eta: 0:16:31 lr: 4.2122262757428914e-05 loss: 0.1473 (0.1487) loss_seg: 0.1461 (0.1474) loss_lansim: 0.1091 (0.1179) loss_contra: 0.0016 (0.0172) time: 2.9022 data: 0.0061 max mem: 31630 Epoch: [6] [4960/5278] eta: 0:16:01 lr: 4.2120090268726376e-05 loss: 0.1492 (0.1488) loss_seg: 0.1481 (0.1474) loss_lansim: 0.1090 (0.1179) loss_contra: 0.0016 (0.0172) time: 2.9053 data: 0.0061 max mem: 31630 Epoch: [6] [4970/5278] eta: 0:15:30 lr: 4.2117917767573375e-05 loss: 0.1485 (0.1488) loss_seg: 0.1475 (0.1474) loss_lansim: 0.1093 (0.1179) loss_contra: 0.0015 (0.0172) time: 2.9093 data: 0.0061 max mem: 31630 Epoch: [6] [4980/5278] eta: 0:15:00 lr: 4.211574525396911e-05 loss: 0.1515 (0.1488) loss_seg: 0.1504 (0.1475) loss_lansim: 0.1094 (0.1179) loss_contra: 0.0013 (0.0172) time: 2.9186 data: 0.0063 max mem: 31630 Epoch: [6] [4990/5278] eta: 0:14:30 lr: 4.211357272791282e-05 loss: 0.1485 (0.1489) loss_seg: 0.1475 (0.1475) loss_lansim: 0.1101 (0.1179) loss_contra: 0.0012 (0.0171) time: 2.9184 data: 0.0064 max mem: 31630 Epoch: [6] [5000/5278] eta: 0:13:59 lr: 4.2111400189403694e-05 loss: 0.1458 (0.1488) loss_seg: 0.1447 (0.1475) loss_lansim: 0.1098 (0.1178) loss_contra: 0.0011 (0.0171) time: 2.9215 data: 0.0064 max mem: 31630 Epoch: [6] [5010/5278] eta: 0:13:29 lr: 4.2109227638440954e-05 loss: 0.1521 (0.1490) loss_seg: 0.1510 (0.1477) loss_lansim: 0.1103 (0.1178) loss_contra: 0.0010 (0.0171) time: 2.9317 data: 0.0064 max mem: 31630 Epoch: [6] [5020/5278] eta: 0:12:59 lr: 4.210705507502383e-05 loss: 0.1523 (0.1490) loss_seg: 0.1510 (0.1477) loss_lansim: 0.1113 (0.1179) loss_contra: 0.0011 (0.0171) time: 2.9335 data: 0.0065 max mem: 31630 Epoch: [6] [5030/5278] eta: 0:12:29 lr: 4.2104882499151516e-05 loss: 0.1523 (0.1490) loss_seg: 0.1489 (0.1476) loss_lansim: 0.1127 (0.1179) loss_contra: 0.0011 (0.0171) time: 2.9273 data: 0.0064 max mem: 31630 Epoch: [6] [5040/5278] eta: 0:11:58 lr: 4.2102709910823246e-05 loss: 0.1485 (0.1490) loss_seg: 0.1475 (0.1477) loss_lansim: 0.1142 (0.1179) loss_contra: 0.0011 (0.0171) time: 2.9317 data: 0.0064 max mem: 31630 Epoch: [6] [5050/5278] eta: 0:11:28 lr: 4.210053731003822e-05 loss: 0.1523 (0.1491) loss_seg: 0.1489 (0.1477) loss_lansim: 0.1142 (0.1179) loss_contra: 0.0012 (0.0170) time: 2.9307 data: 0.0064 max mem: 31630 Epoch: [6] [5060/5278] eta: 0:10:58 lr: 4.2098364696795653e-05 loss: 0.1498 (0.1492) loss_seg: 0.1482 (0.1478) loss_lansim: 0.1150 (0.1179) loss_contra: 0.0012 (0.0170) time: 2.9297 data: 0.0065 max mem: 31630 Epoch: [6] [5070/5278] eta: 0:10:28 lr: 4.2096192071094765e-05 loss: 0.1498 (0.1492) loss_seg: 0.1482 (0.1478) loss_lansim: 0.1161 (0.1179) loss_contra: 0.0013 (0.0170) time: 2.9306 data: 0.0065 max mem: 31630 Epoch: [6] [5080/5278] eta: 0:09:57 lr: 4.209401943293476e-05 loss: 0.1485 (0.1492) loss_seg: 0.1472 (0.1478) loss_lansim: 0.1177 (0.1179) loss_contra: 0.0014 (0.0170) time: 2.9304 data: 0.0064 max mem: 31630 Epoch: [6] [5090/5278] eta: 0:09:27 lr: 4.209184678231487e-05 loss: 0.1494 (0.1492) loss_seg: 0.1479 (0.1478) loss_lansim: 0.1191 (0.1179) loss_contra: 0.0014 (0.0171) time: 2.9386 data: 0.0063 max mem: 31630 Epoch: [6] [5100/5278] eta: 0:08:57 lr: 4.2089674119234294e-05 loss: 0.1523 (0.1492) loss_seg: 0.1502 (0.1479) loss_lansim: 0.1227 (0.1180) loss_contra: 0.0018 (0.0171) time: 2.9465 data: 0.0063 max mem: 31630 Epoch: [6] [5110/5278] eta: 0:08:27 lr: 4.208750144369225e-05 loss: 0.1498 (0.1493) loss_seg: 0.1482 (0.1479) loss_lansim: 0.1234 (0.1180) loss_contra: 0.0030 (0.0172) time: 2.9486 data: 0.0062 max mem: 31630 Epoch: [6] [5120/5278] eta: 0:07:57 lr: 4.208532875568796e-05 loss: 0.1494 (0.1493) loss_seg: 0.1479 (0.1479) loss_lansim: 0.1254 (0.1180) loss_contra: 0.0042 (0.0174) time: 2.9531 data: 0.0062 max mem: 31630 Epoch: [6] [5130/5278] eta: 0:07:26 lr: 4.2083156055220616e-05 loss: 0.1494 (0.1493) loss_seg: 0.1479 (0.1480) loss_lansim: 0.1267 (0.1181) loss_contra: 0.0055 (0.0174) time: 2.9624 data: 0.0063 max mem: 31630 Epoch: [6] [5140/5278] eta: 0:06:56 lr: 4.208098334228946e-05 loss: 0.1494 (0.1493) loss_seg: 0.1479 (0.1480) loss_lansim: 0.1301 (0.1181) loss_contra: 0.0071 (0.0175) time: 2.9739 data: 0.0063 max mem: 31630 Epoch: [6] [5150/5278] eta: 0:06:26 lr: 4.2078810616893684e-05 loss: 0.1493 (0.1493) loss_seg: 0.1472 (0.1480) loss_lansim: 0.1322 (0.1181) loss_contra: 0.0080 (0.0176) time: 2.9772 data: 0.0062 max mem: 31630 Epoch: [6] [5160/5278] eta: 0:05:56 lr: 4.207663787903251e-05 loss: 0.1487 (0.1493) loss_seg: 0.1470 (0.1480) loss_lansim: 0.1334 (0.1182) loss_contra: 0.0113 (0.0176) time: 2.9923 data: 0.0062 max mem: 31630 Epoch: [6] [5170/5278] eta: 0:05:26 lr: 4.207446512870515e-05 loss: 0.1493 (0.1494) loss_seg: 0.1471 (0.1480) loss_lansim: 0.1333 (0.1182) loss_contra: 0.0128 (0.0176) time: 2.9993 data: 0.0063 max mem: 31630 Epoch: [6] [5180/5278] eta: 0:04:55 lr: 4.207229236591081e-05 loss: 0.1497 (0.1494) loss_seg: 0.1485 (0.1480) loss_lansim: 0.1334 (0.1182) loss_contra: 0.0146 (0.0177) time: 3.0030 data: 0.0063 max mem: 31630 Epoch: [6] [5190/5278] eta: 0:04:25 lr: 4.207011959064871e-05 loss: 0.1453 (0.1493) loss_seg: 0.1440 (0.1480) loss_lansim: 0.1339 (0.1182) loss_contra: 0.0115 (0.0177) time: 3.0111 data: 0.0063 max mem: 31630 Epoch: [6] [5200/5278] eta: 0:03:55 lr: 4.206794680291807e-05 loss: 0.1423 (0.1493) loss_seg: 0.1406 (0.1480) loss_lansim: 0.1334 (0.1183) loss_contra: 0.0090 (0.0177) time: 3.0171 data: 0.0063 max mem: 31630 Epoch: [6] [5210/5278] eta: 0:03:25 lr: 4.20657740027181e-05 loss: 0.1394 (0.1493) loss_seg: 0.1375 (0.1480) loss_lansim: 0.1332 (0.1183) loss_contra: 0.0090 (0.0177) time: 3.0169 data: 0.0064 max mem: 31630 Epoch: [6] [5220/5278] eta: 0:02:55 lr: 4.2063601190047994e-05 loss: 0.1394 (0.1493) loss_seg: 0.1375 (0.1480) loss_lansim: 0.1329 (0.1183) loss_contra: 0.0071 (0.0177) time: 3.0195 data: 0.0064 max mem: 31630 Epoch: [6] [5230/5278] eta: 0:02:24 lr: 4.206142836490699e-05 loss: 0.1390 (0.1494) loss_seg: 0.1374 (0.1480) loss_lansim: 0.1332 (0.1184) loss_contra: 0.0062 (0.0176) time: 3.0219 data: 0.0063 max mem: 31630 Epoch: [6] [5240/5278] eta: 0:01:54 lr: 4.205925552729428e-05 loss: 0.1378 (0.1494) loss_seg: 0.1363 (0.1480) loss_lansim: 0.1326 (0.1184) loss_contra: 0.0040 (0.0176) time: 3.0177 data: 0.0063 max mem: 31630 Epoch: [6] [5250/5278] eta: 0:01:24 lr: 4.20570826772091e-05 loss: 0.1378 (0.1494) loss_seg: 0.1363 (0.1481) loss_lansim: 0.1327 (0.1184) loss_contra: 0.0038 (0.0177) time: 3.0222 data: 0.0063 max mem: 31630 Epoch: [6] [5260/5278] eta: 0:00:54 lr: 4.205490981465065e-05 loss: 0.1378 (0.1494) loss_seg: 0.1363 (0.1481) loss_lansim: 0.1332 (0.1185) loss_contra: 0.0030 (0.0177) time: 3.0201 data: 0.0063 max mem: 31630 Epoch: [6] [5270/5278] eta: 0:00:24 lr: 4.2052736939618124e-05 loss: 0.1376 (0.1494) loss_seg: 0.1361 (0.1481) loss_lansim: 0.1356 (0.1186) loss_contra: 0.0024 (0.0177) time: 3.0207 data: 0.0062 max mem: 31630 Epoch: [6] Total time: 4:25:39 Test: [ 0/2573] eta: 1:01:44 time: 1.4399 data: 1.2822 max mem: 31630 Test: [ 100/2573] eta: 0:06:22 time: 0.1416 data: 0.0015 max mem: 31630 Test: [ 200/2573] eta: 0:05:56 time: 0.1460 data: 0.0017 max mem: 31630 Test: [ 300/2573] eta: 0:05:35 time: 0.1423 data: 0.0017 max mem: 31630 Test: [ 400/2573] eta: 0:05:18 time: 0.1435 data: 0.0016 max mem: 31630 Test: [ 500/2573] eta: 0:05:04 time: 0.1484 data: 0.0017 max mem: 31630 Test: [ 600/2573] eta: 0:04:51 time: 0.1509 data: 0.0017 max mem: 31630 Test: [ 700/2573] eta: 0:04:38 time: 0.1542 data: 0.0017 max mem: 31630 Test: [ 800/2573] eta: 0:04:23 time: 0.1488 data: 0.0017 max mem: 31630 Test: [ 900/2573] eta: 0:04:08 time: 0.1480 data: 0.0016 max mem: 31630 Test: [1000/2573] eta: 0:03:54 time: 0.1524 data: 0.0017 max mem: 31630 Test: [1100/2573] eta: 0:03:39 time: 0.1512 data: 0.0017 max mem: 31630 Test: [1200/2573] eta: 0:03:25 time: 0.1516 data: 0.0016 max mem: 31630 Test: [1300/2573] eta: 0:03:10 time: 0.1498 data: 0.0016 max mem: 31630 Test: [1400/2573] eta: 0:02:54 time: 0.1459 data: 0.0016 max mem: 31630 Test: [1500/2573] eta: 0:02:40 time: 0.1516 data: 0.0016 max mem: 31630 Test: [1600/2573] eta: 0:02:25 time: 0.1478 data: 0.0016 max mem: 31630 Test: [1700/2573] eta: 0:02:10 time: 0.1492 data: 0.0017 max mem: 31630 Test: [1800/2573] eta: 0:01:55 time: 0.1450 data: 0.0016 max mem: 31630 Test: [1900/2573] eta: 0:01:40 time: 0.1438 data: 0.0016 max mem: 31630 Test: [2000/2573] eta: 0:01:25 time: 0.1430 data: 0.0016 max mem: 31630 Test: [2100/2573] eta: 0:01:10 time: 0.1495 data: 0.0016 max mem: 31630 Test: [2200/2573] eta: 0:00:55 time: 0.1436 data: 0.0017 max mem: 31630 Test: [2300/2573] eta: 0:00:40 time: 0.1501 data: 0.0016 max mem: 31630 Test: [2400/2573] eta: 0:00:25 time: 0.1467 data: 0.0016 max mem: 31630 Test: [2500/2573] eta: 0:00:10 time: 0.1472 data: 0.0016 max mem: 31630 Test: Total time: 0:06:21 Final results: precision@0.5 = 52.74 precision@0.6 = 46.10 precision@0.7 = 37.54 precision@0.8 = 25.96 precision@0.9 = 9.70 overall IoU = 48.89 mean IoU = 48.34 Better epoch: 6 The best_performance is 48.89314930827943 Epoch: [7] [ 0/5278] eta: 6:57:46 lr: 4.205099863061026e-05 loss: 0.0953 (0.0953) loss_seg: 0.0929 (0.0929) loss_lansim: 0.1486 (0.1486) loss_contra: 0.0896 (0.0896) time: 4.7493 data: 1.6522 max mem: 31630 Epoch: [7] [ 10/5278] eta: 4:32:42 lr: 4.204882573312246e-05 loss: 0.1036 (0.1126) loss_seg: 0.1023 (0.1109) loss_lansim: 0.1498 (0.1504) loss_contra: 0.0016 (0.0240) time: 3.1060 data: 0.1556 max mem: 31630 Epoch: [7] [ 20/5278] eta: 4:26:00 lr: 4.2046652823158375e-05 loss: 0.1247 (0.1334) loss_seg: 0.1233 (0.1316) loss_lansim: 0.1498 (0.1484) loss_contra: 0.0172 (0.0290) time: 3.0356 data: 0.0840 max mem: 31630 Epoch: [7] [ 30/5278] eta: 4:25:08 lr: 4.2044479900717255e-05 loss: 0.1265 (0.1319) loss_seg: 0.1247 (0.1302) loss_lansim: 0.1488 (0.1488) loss_contra: 0.0068 (0.0221) time: 3.0313 data: 0.0587 max mem: 31630 Epoch: [7] [ 40/5278] eta: 4:25:05 lr: 4.204230696579829e-05 loss: 0.1247 (0.1294) loss_seg: 0.1233 (0.1277) loss_lansim: 0.1452 (0.1461) loss_contra: 0.0068 (0.0290) time: 3.0365 data: 0.0459 max mem: 31630 Epoch: [7] [ 50/5278] eta: 4:23:57 lr: 4.204013401840069e-05 loss: 0.1256 (0.1297) loss_seg: 0.1240 (0.1280) loss_lansim: 0.1443 (0.1442) loss_contra: 0.0067 (0.0258) time: 3.0293 data: 0.0381 max mem: 31630 Epoch: [7] [ 60/5278] eta: 4:23:37 lr: 4.203796105852368e-05 loss: 0.1265 (0.1327) loss_seg: 0.1247 (0.1311) loss_lansim: 0.1411 (0.1442) loss_contra: 0.0063 (0.0235) time: 3.0313 data: 0.0328 max mem: 31630 Epoch: [7] [ 70/5278] eta: 4:23:05 lr: 4.203578808616646e-05 loss: 0.1266 (0.1343) loss_seg: 0.1252 (0.1327) loss_lansim: 0.1411 (0.1435) loss_contra: 0.0064 (0.0232) time: 3.0311 data: 0.0290 max mem: 31630 Epoch: [7] [ 80/5278] eta: 4:22:04 lr: 4.2033615101328245e-05 loss: 0.1265 (0.1323) loss_seg: 0.1247 (0.1306) loss_lansim: 0.1407 (0.1434) loss_contra: 0.0064 (0.0230) time: 3.0252 data: 0.0262 max mem: 31630 Epoch: [7] [ 90/5278] eta: 4:21:28 lr: 4.2031442104008247e-05 loss: 0.1265 (0.1331) loss_seg: 0.1247 (0.1314) loss_lansim: 0.1411 (0.1440) loss_contra: 0.0059 (0.0219) time: 3.0240 data: 0.0239 max mem: 31630 Epoch: [7] [ 100/5278] eta: 4:21:36 lr: 4.202926909420567e-05 loss: 0.1247 (0.1307) loss_seg: 0.1233 (0.1291) loss_lansim: 0.1395 (0.1426) loss_contra: 0.0050 (0.0203) time: 3.0142 data: 0.0058 max mem: 31630 Epoch: [7] [ 110/5278] eta: 4:20:47 lr: 4.202709607191975e-05 loss: 0.1272 (0.1339) loss_seg: 0.1256 (0.1323) loss_lansim: 0.1393 (0.1420) loss_contra: 0.0050 (0.0196) time: 3.0191 data: 0.0058 max mem: 31630 Epoch: [7] [ 120/5278] eta: 4:20:10 lr: 4.202492303714967e-05 loss: 0.1223 (0.1317) loss_seg: 0.1211 (0.1301) loss_lansim: 0.1383 (0.1416) loss_contra: 0.0040 (0.0183) time: 3.0245 data: 0.0058 max mem: 31630 Epoch: [7] [ 130/5278] eta: 4:19:44 lr: 4.202274998989464e-05 loss: 0.1208 (0.1311) loss_seg: 0.1191 (0.1295) loss_lansim: 0.1381 (0.1410) loss_contra: 0.0040 (0.0175) time: 3.0261 data: 0.0058 max mem: 31630 Epoch: [7] [ 140/5278] eta: 4:19:01 lr: 4.2020576930153906e-05 loss: 0.1246 (0.1323) loss_seg: 0.1231 (0.1307) loss_lansim: 0.1375 (0.1402) loss_contra: 0.0034 (0.0189) time: 3.0200 data: 0.0057 max mem: 31630 Epoch: [7] [ 150/5278] eta: 4:18:22 lr: 4.2018403857926644e-05 loss: 0.1246 (0.1330) loss_seg: 0.1231 (0.1314) loss_lansim: 0.1367 (0.1395) loss_contra: 0.0036 (0.0184) time: 3.0200 data: 0.0057 max mem: 31630 Epoch: [7] [ 160/5278] eta: 4:17:58 lr: 4.201623077321207e-05 loss: 0.1246 (0.1340) loss_seg: 0.1231 (0.1324) loss_lansim: 0.1351 (0.1390) loss_contra: 0.0036 (0.0178) time: 3.0201 data: 0.0056 max mem: 31630 Epoch: [7] [ 170/5278] eta: 4:17:24 lr: 4.20140576760094e-05 loss: 0.1243 (0.1340) loss_seg: 0.1228 (0.1324) loss_lansim: 0.1334 (0.1384) loss_contra: 0.0029 (0.0170) time: 3.0182 data: 0.0056 max mem: 31630 Epoch: [7] [ 180/5278] eta: 4:16:47 lr: 4.201188456631785e-05 loss: 0.1246 (0.1340) loss_seg: 0.1231 (0.1324) loss_lansim: 0.1316 (0.1378) loss_contra: 0.0021 (0.0162) time: 3.0200 data: 0.0056 max mem: 31630 Epoch: [7] [ 190/5278] eta: 4:16:27 lr: 4.200971144413663e-05 loss: 0.1199 (0.1331) loss_seg: 0.1185 (0.1315) loss_lansim: 0.1302 (0.1376) loss_contra: 0.0021 (0.0156) time: 3.0243 data: 0.0055 max mem: 31630 Epoch: [7] [ 200/5278] eta: 4:15:50 lr: 4.200753830946494e-05 loss: 0.1229 (0.1342) loss_seg: 0.1212 (0.1326) loss_lansim: 0.1317 (0.1375) loss_contra: 0.0021 (0.0160) time: 3.0143 data: 0.0055 max mem: 31630 Epoch: [7] [ 210/5278] eta: 4:15:15 lr: 4.2005365162302e-05 loss: 0.1199 (0.1343) loss_seg: 0.1185 (0.1328) loss_lansim: 0.1319 (0.1377) loss_contra: 0.0017 (0.0155) time: 3.0156 data: 0.0055 max mem: 31630 Epoch: [7] [ 220/5278] eta: 4:14:51 lr: 4.200319200264702e-05 loss: 0.1276 (0.1346) loss_seg: 0.1263 (0.1331) loss_lansim: 0.1324 (0.1379) loss_contra: 0.0017 (0.0155) time: 3.0192 data: 0.0054 max mem: 31630 Epoch: [7] [ 230/5278] eta: 4:14:13 lr: 4.200101883049919e-05 loss: 0.1280 (0.1352) loss_seg: 0.1266 (0.1337) loss_lansim: 0.1328 (0.1377) loss_contra: 0.0015 (0.0155) time: 3.0141 data: 0.0054 max mem: 31630 Epoch: [7] [ 240/5278] eta: 4:13:48 lr: 4.1998845645857755e-05 loss: 0.1276 (0.1354) loss_seg: 0.1263 (0.1339) loss_lansim: 0.1343 (0.1378) loss_contra: 0.0012 (0.0149) time: 3.0196 data: 0.0054 max mem: 31630 Epoch: [7] [ 250/5278] eta: 4:13:14 lr: 4.199667244872189e-05 loss: 0.1276 (0.1360) loss_seg: 0.1263 (0.1344) loss_lansim: 0.1351 (0.1378) loss_contra: 0.0012 (0.0155) time: 3.0201 data: 0.0054 max mem: 31630 Epoch: [7] [ 260/5278] eta: 4:12:28 lr: 4.199449923909083e-05 loss: 0.1276 (0.1358) loss_seg: 0.1263 (0.1343) loss_lansim: 0.1354 (0.1382) loss_contra: 0.0011 (0.0151) time: 3.0097 data: 0.0054 max mem: 31630 Epoch: [7] [ 270/5278] eta: 4:12:08 lr: 4.199232601696378e-05 loss: 0.1312 (0.1363) loss_seg: 0.1298 (0.1348) loss_lansim: 0.1365 (0.1383) loss_contra: 0.0012 (0.0153) time: 3.0161 data: 0.0053 max mem: 31630 Epoch: [7] [ 280/5278] eta: 4:11:35 lr: 4.199015278233994e-05 loss: 0.1332 (0.1374) loss_seg: 0.1318 (0.1358) loss_lansim: 0.1387 (0.1384) loss_contra: 0.0014 (0.0157) time: 3.0166 data: 0.0054 max mem: 31630 Epoch: [7] [ 290/5278] eta: 4:11:01 lr: 4.198797953521852e-05 loss: 0.1341 (0.1370) loss_seg: 0.1328 (0.1354) loss_lansim: 0.1414 (0.1390) loss_contra: 0.0014 (0.0154) time: 3.0107 data: 0.0054 max mem: 31630 Epoch: [7] [ 300/5278] eta: 4:10:32 lr: 4.198580627559874e-05 loss: 0.1341 (0.1368) loss_seg: 0.1328 (0.1353) loss_lansim: 0.1418 (0.1392) loss_contra: 0.0015 (0.0151) time: 3.0134 data: 0.0055 max mem: 31630 Epoch: [7] [ 310/5278] eta: 4:10:03 lr: 4.1983633003479794e-05 loss: 0.1337 (0.1361) loss_seg: 0.1321 (0.1345) loss_lansim: 0.1456 (0.1398) loss_contra: 0.0015 (0.0147) time: 3.0162 data: 0.0055 max mem: 31630 Epoch: [7] [ 320/5278] eta: 4:09:31 lr: 4.198145971886092e-05 loss: 0.1332 (0.1363) loss_seg: 0.1318 (0.1347) loss_lansim: 0.1462 (0.1402) loss_contra: 0.0015 (0.0144) time: 3.0121 data: 0.0055 max mem: 31630 Epoch: [7] [ 330/5278] eta: 4:09:08 lr: 4.197928642174129e-05 loss: 0.1334 (0.1365) loss_seg: 0.1319 (0.1350) loss_lansim: 0.1478 (0.1408) loss_contra: 0.0016 (0.0146) time: 3.0198 data: 0.0055 max mem: 31630 Epoch: [7] [ 340/5278] eta: 4:08:40 lr: 4.197711311212013e-05 loss: 0.1326 (0.1365) loss_seg: 0.1302 (0.1349) loss_lansim: 0.1488 (0.1410) loss_contra: 0.0021 (0.0151) time: 3.0188 data: 0.0056 max mem: 31630 Epoch: [7] [ 350/5278] eta: 4:08:06 lr: 4.197493978999666e-05 loss: 0.1337 (0.1367) loss_seg: 0.1321 (0.1351) loss_lansim: 0.1494 (0.1414) loss_contra: 0.0022 (0.0150) time: 3.0179 data: 0.0056 max mem: 31630 Epoch: [7] [ 360/5278] eta: 4:07:42 lr: 4.197276645537007e-05 loss: 0.1326 (0.1367) loss_seg: 0.1302 (0.1351) loss_lansim: 0.1488 (0.1414) loss_contra: 0.0021 (0.0147) time: 3.0304 data: 0.0056 max mem: 31630 Epoch: [7] [ 370/5278] eta: 4:07:02 lr: 4.1970593108239584e-05 loss: 0.1329 (0.1370) loss_seg: 0.1313 (0.1354) loss_lansim: 0.1494 (0.1420) loss_contra: 0.0022 (0.0144) time: 3.0182 data: 0.0056 max mem: 31630 Epoch: [7] [ 380/5278] eta: 4:06:39 lr: 4.19684197486044e-05 loss: 0.1315 (0.1374) loss_seg: 0.1301 (0.1359) loss_lansim: 0.1505 (0.1422) loss_contra: 0.0022 (0.0143) time: 3.0250 data: 0.0056 max mem: 31630 Epoch: [7] [ 390/5278] eta: 4:06:06 lr: 4.196624637646373e-05 loss: 0.1326 (0.1377) loss_seg: 0.1307 (0.1361) loss_lansim: 0.1508 (0.1427) loss_contra: 0.0023 (0.0142) time: 3.0249 data: 0.0056 max mem: 31630 Epoch: [7] [ 400/5278] eta: 4:05:36 lr: 4.196407299181679e-05 loss: 0.1326 (0.1385) loss_seg: 0.1307 (0.1370) loss_lansim: 0.1513 (0.1430) loss_contra: 0.0022 (0.0139) time: 3.0247 data: 0.0056 max mem: 31630 Epoch: [7] [ 410/5278] eta: 4:05:12 lr: 4.1961899594662767e-05 loss: 0.1351 (0.1388) loss_seg: 0.1337 (0.1373) loss_lansim: 0.1533 (0.1434) loss_contra: 0.0022 (0.0138) time: 3.0287 data: 0.0056 max mem: 31630 Epoch: [7] [ 420/5278] eta: 4:04:47 lr: 4.1959726185000895e-05 loss: 0.1364 (0.1391) loss_seg: 0.1348 (0.1375) loss_lansim: 0.1513 (0.1434) loss_contra: 0.0021 (0.0138) time: 3.0350 data: 0.0056 max mem: 31630 Epoch: [7] [ 430/5278] eta: 4:04:13 lr: 4.1957552762830366e-05 loss: 0.1362 (0.1389) loss_seg: 0.1347 (0.1374) loss_lansim: 0.1504 (0.1435) loss_contra: 0.0019 (0.0136) time: 3.0273 data: 0.0057 max mem: 31630 Epoch: [7] [ 440/5278] eta: 4:03:47 lr: 4.1955379328150393e-05 loss: 0.1377 (0.1393) loss_seg: 0.1363 (0.1377) loss_lansim: 0.1505 (0.1437) loss_contra: 0.0019 (0.0135) time: 3.0305 data: 0.0056 max mem: 31630 Epoch: [7] [ 450/5278] eta: 4:03:17 lr: 4.1953205880960185e-05 loss: 0.1374 (0.1393) loss_seg: 0.1357 (0.1377) loss_lansim: 0.1504 (0.1438) loss_contra: 0.0019 (0.0133) time: 3.0331 data: 0.0056 max mem: 31630 Epoch: [7] [ 460/5278] eta: 4:02:43 lr: 4.195103242125894e-05 loss: 0.1374 (0.1392) loss_seg: 0.1357 (0.1376) loss_lansim: 0.1507 (0.1440) loss_contra: 0.0021 (0.0131) time: 3.0252 data: 0.0056 max mem: 31630 Epoch: [7] [ 470/5278] eta: 4:02:12 lr: 4.194885894904588e-05 loss: 0.1374 (0.1392) loss_seg: 0.1357 (0.1376) loss_lansim: 0.1501 (0.1440) loss_contra: 0.0019 (0.0129) time: 3.0315 data: 0.0056 max mem: 31630 Epoch: [7] [ 480/5278] eta: 4:01:41 lr: 4.1946685464320214e-05 loss: 0.1401 (0.1399) loss_seg: 0.1383 (0.1383) loss_lansim: 0.1495 (0.1439) loss_contra: 0.0019 (0.0129) time: 3.0256 data: 0.0056 max mem: 31630 Epoch: [7] [ 490/5278] eta: 4:01:12 lr: 4.194451196708113e-05 loss: 0.1362 (0.1395) loss_seg: 0.1347 (0.1379) loss_lansim: 0.1491 (0.1440) loss_contra: 0.0019 (0.0129) time: 3.0300 data: 0.0057 max mem: 31630 Epoch: [7] [ 500/5278] eta: 4:00:40 lr: 4.194233845732785e-05 loss: 0.1374 (0.1397) loss_seg: 0.1357 (0.1381) loss_lansim: 0.1477 (0.1442) loss_contra: 0.0020 (0.0127) time: 3.0277 data: 0.0057 max mem: 31630 Epoch: [7] [ 510/5278] eta: 4:00:15 lr: 4.194016493505958e-05 loss: 0.1343 (0.1396) loss_seg: 0.1324 (0.1381) loss_lansim: 0.1442 (0.1438) loss_contra: 0.0022 (0.0126) time: 3.0283 data: 0.0056 max mem: 31630 Epoch: [7] [ 520/5278] eta: 3:59:40 lr: 4.1937991400275536e-05 loss: 0.1259 (0.1393) loss_seg: 0.1245 (0.1377) loss_lansim: 0.1436 (0.1436) loss_contra: 0.0019 (0.0124) time: 3.0182 data: 0.0057 max mem: 31630 Epoch: [7] [ 530/5278] eta: 3:59:13 lr: 4.193581785297491e-05 loss: 0.1299 (0.1395) loss_seg: 0.1287 (0.1380) loss_lansim: 0.1412 (0.1434) loss_contra: 0.0019 (0.0122) time: 3.0252 data: 0.0058 max mem: 31630 Epoch: [7] [ 540/5278] eta: 3:58:42 lr: 4.193364429315691e-05 loss: 0.1285 (0.1398) loss_seg: 0.1269 (0.1383) loss_lansim: 0.1402 (0.1432) loss_contra: 0.0016 (0.0122) time: 3.0201 data: 0.0058 max mem: 31630 Epoch: [7] [ 550/5278] eta: 3:58:12 lr: 4.193147072082075e-05 loss: 0.1296 (0.1403) loss_seg: 0.1278 (0.1387) loss_lansim: 0.1379 (0.1430) loss_contra: 0.0016 (0.0120) time: 3.0200 data: 0.0058 max mem: 31630 Epoch: [7] [ 560/5278] eta: 3:57:41 lr: 4.192929713596563e-05 loss: 0.1335 (0.1405) loss_seg: 0.1319 (0.1389) loss_lansim: 0.1350 (0.1428) loss_contra: 0.0017 (0.0119) time: 3.0237 data: 0.0059 max mem: 31630 Epoch: [7] [ 570/5278] eta: 3:57:08 lr: 4.1927123538590775e-05 loss: 0.1321 (0.1403) loss_seg: 0.1310 (0.1387) loss_lansim: 0.1341 (0.1425) loss_contra: 0.0015 (0.0117) time: 3.0207 data: 0.0058 max mem: 31630 Epoch: [7] [ 580/5278] eta: 3:56:37 lr: 4.192494992869537e-05 loss: 0.1299 (0.1402) loss_seg: 0.1287 (0.1386) loss_lansim: 0.1312 (0.1423) loss_contra: 0.0013 (0.0116) time: 3.0199 data: 0.0059 max mem: 31630 Epoch: [7] [ 590/5278] eta: 3:56:11 lr: 4.192277630627862e-05 loss: 0.1335 (0.1404) loss_seg: 0.1319 (0.1389) loss_lansim: 0.1312 (0.1423) loss_contra: 0.0011 (0.0115) time: 3.0243 data: 0.0058 max mem: 31630 Epoch: [7] [ 600/5278] eta: 3:55:38 lr: 4.192060267133975e-05 loss: 0.1321 (0.1404) loss_seg: 0.1310 (0.1389) loss_lansim: 0.1305 (0.1421) loss_contra: 0.0012 (0.0114) time: 3.0224 data: 0.0059 max mem: 31630 Epoch: [7] [ 610/5278] eta: 3:55:07 lr: 4.191842902387796e-05 loss: 0.1335 (0.1406) loss_seg: 0.1319 (0.1391) loss_lansim: 0.1317 (0.1420) loss_contra: 0.0011 (0.0113) time: 3.0163 data: 0.0061 max mem: 31630 Epoch: [7] [ 620/5278] eta: 3:54:40 lr: 4.1916255363892456e-05 loss: 0.1342 (0.1404) loss_seg: 0.1331 (0.1389) loss_lansim: 0.1317 (0.1418) loss_contra: 0.0011 (0.0112) time: 3.0252 data: 0.0061 max mem: 31630 Epoch: [7] [ 630/5278] eta: 3:54:07 lr: 4.191408169138243e-05 loss: 0.1338 (0.1406) loss_seg: 0.1325 (0.1390) loss_lansim: 0.1323 (0.1418) loss_contra: 0.0011 (0.0112) time: 3.0179 data: 0.0060 max mem: 31630 Epoch: [7] [ 640/5278] eta: 3:53:37 lr: 4.191190800634712e-05 loss: 0.1338 (0.1405) loss_seg: 0.1325 (0.1390) loss_lansim: 0.1350 (0.1418) loss_contra: 0.0013 (0.0117) time: 3.0185 data: 0.0060 max mem: 31630 Epoch: [7] [ 650/5278] eta: 3:53:07 lr: 4.1909734308785694e-05 loss: 0.1305 (0.1400) loss_seg: 0.1291 (0.1385) loss_lansim: 0.1329 (0.1417) loss_contra: 0.0013 (0.0115) time: 3.0203 data: 0.0059 max mem: 31630 Epoch: [7] [ 660/5278] eta: 3:52:37 lr: 4.190756059869739e-05 loss: 0.1273 (0.1399) loss_seg: 0.1261 (0.1383) loss_lansim: 0.1338 (0.1417) loss_contra: 0.0011 (0.0117) time: 3.0203 data: 0.0060 max mem: 31630 Epoch: [7] [ 670/5278] eta: 3:52:04 lr: 4.190538687608139e-05 loss: 0.1275 (0.1399) loss_seg: 0.1261 (0.1384) loss_lansim: 0.1361 (0.1417) loss_contra: 0.0013 (0.0116) time: 3.0190 data: 0.0061 max mem: 31630 Epoch: [7] [ 680/5278] eta: 3:51:37 lr: 4.190321314093691e-05 loss: 0.1316 (0.1401) loss_seg: 0.1304 (0.1386) loss_lansim: 0.1377 (0.1418) loss_contra: 0.0015 (0.0117) time: 3.0254 data: 0.0060 max mem: 31630 Epoch: [7] [ 690/5278] eta: 3:51:02 lr: 4.1901039393263165e-05 loss: 0.1275 (0.1403) loss_seg: 0.1261 (0.1388) loss_lansim: 0.1377 (0.1418) loss_contra: 0.0022 (0.0121) time: 3.0129 data: 0.0060 max mem: 31630 Epoch: [7] [ 700/5278] eta: 3:50:34 lr: 4.1898865633059344e-05 loss: 0.1324 (0.1403) loss_seg: 0.1304 (0.1388) loss_lansim: 0.1388 (0.1419) loss_contra: 0.0018 (0.0120) time: 3.0202 data: 0.0059 max mem: 31630 Epoch: [7] [ 710/5278] eta: 3:50:04 lr: 4.189669186032465e-05 loss: 0.1275 (0.1401) loss_seg: 0.1261 (0.1385) loss_lansim: 0.1397 (0.1420) loss_contra: 0.0020 (0.0120) time: 3.0203 data: 0.0058 max mem: 31630 Epoch: [7] [ 720/5278] eta: 3:49:33 lr: 4.189451807505832e-05 loss: 0.1271 (0.1400) loss_seg: 0.1256 (0.1385) loss_lansim: 0.1414 (0.1422) loss_contra: 0.0021 (0.0125) time: 3.0157 data: 0.0057 max mem: 31630 Epoch: [7] [ 730/5278] eta: 3:49:01 lr: 4.1892344277259524e-05 loss: 0.1274 (0.1402) loss_seg: 0.1260 (0.1387) loss_lansim: 0.1427 (0.1424) loss_contra: 0.0022 (0.0125) time: 3.0171 data: 0.0058 max mem: 31630 Epoch: [7] [ 740/5278] eta: 3:48:30 lr: 4.189017046692748e-05 loss: 0.1316 (0.1404) loss_seg: 0.1289 (0.1388) loss_lansim: 0.1448 (0.1426) loss_contra: 0.0022 (0.0125) time: 3.0155 data: 0.0058 max mem: 31630 Epoch: [7] [ 750/5278] eta: 3:47:59 lr: 4.1887996644061395e-05 loss: 0.1337 (0.1403) loss_seg: 0.1322 (0.1387) loss_lansim: 0.1463 (0.1427) loss_contra: 0.0026 (0.0125) time: 3.0124 data: 0.0058 max mem: 31630 Epoch: [7] [ 760/5278] eta: 3:47:31 lr: 4.1885822808660476e-05 loss: 0.1337 (0.1402) loss_seg: 0.1322 (0.1386) loss_lansim: 0.1463 (0.1427) loss_contra: 0.0026 (0.0125) time: 3.0153 data: 0.0058 max mem: 31630 Epoch: [7] [ 770/5278] eta: 3:46:59 lr: 4.188364896072392e-05 loss: 0.1336 (0.1405) loss_seg: 0.1319 (0.1390) loss_lansim: 0.1457 (0.1426) loss_contra: 0.0030 (0.0125) time: 3.0177 data: 0.0058 max mem: 31630 Epoch: [7] [ 780/5278] eta: 3:46:26 lr: 4.188147510025094e-05 loss: 0.1337 (0.1407) loss_seg: 0.1319 (0.1392) loss_lansim: 0.1448 (0.1425) loss_contra: 0.0028 (0.0124) time: 3.0080 data: 0.0058 max mem: 31630 Epoch: [7] [ 790/5278] eta: 3:45:52 lr: 4.187930122724073e-05 loss: 0.1358 (0.1406) loss_seg: 0.1337 (0.1391) loss_lansim: 0.1454 (0.1425) loss_contra: 0.0030 (0.0123) time: 3.0066 data: 0.0058 max mem: 31630 Epoch: [7] [ 800/5278] eta: 3:45:18 lr: 4.187712734169251e-05 loss: 0.1331 (0.1405) loss_seg: 0.1318 (0.1389) loss_lansim: 0.1437 (0.1424) loss_contra: 0.0029 (0.0122) time: 2.9970 data: 0.0059 max mem: 31630 Epoch: [7] [ 810/5278] eta: 3:44:47 lr: 4.1874953443605465e-05 loss: 0.1331 (0.1403) loss_seg: 0.1318 (0.1387) loss_lansim: 0.1429 (0.1423) loss_contra: 0.0026 (0.0121) time: 2.9957 data: 0.0059 max mem: 31630 Epoch: [7] [ 820/5278] eta: 3:44:11 lr: 4.187277953297882e-05 loss: 0.1333 (0.1403) loss_seg: 0.1319 (0.1388) loss_lansim: 0.1407 (0.1421) loss_contra: 0.0022 (0.0122) time: 2.9849 data: 0.0059 max mem: 31630 Epoch: [7] [ 830/5278] eta: 3:43:39 lr: 4.187060560981176e-05 loss: 0.1331 (0.1404) loss_seg: 0.1318 (0.1389) loss_lansim: 0.1368 (0.1420) loss_contra: 0.0022 (0.0122) time: 2.9836 data: 0.0060 max mem: 31630 Epoch: [7] [ 840/5278] eta: 3:43:07 lr: 4.1868431674103506e-05 loss: 0.1289 (0.1399) loss_seg: 0.1274 (0.1384) loss_lansim: 0.1346 (0.1418) loss_contra: 0.0018 (0.0121) time: 2.9822 data: 0.0062 max mem: 31630 Epoch: [7] [ 850/5278] eta: 3:42:34 lr: 4.186625772585326e-05 loss: 0.1277 (0.1398) loss_seg: 0.1261 (0.1382) loss_lansim: 0.1334 (0.1417) loss_contra: 0.0016 (0.0120) time: 2.9764 data: 0.0062 max mem: 31630 Epoch: [7] [ 860/5278] eta: 3:42:01 lr: 4.1864083765060214e-05 loss: 0.1277 (0.1398) loss_seg: 0.1261 (0.1383) loss_lansim: 0.1324 (0.1417) loss_contra: 0.0016 (0.0119) time: 2.9681 data: 0.0062 max mem: 31630 Epoch: [7] [ 870/5278] eta: 3:41:29 lr: 4.186190979172358e-05 loss: 0.1273 (0.1396) loss_seg: 0.1261 (0.1381) loss_lansim: 0.1324 (0.1416) loss_contra: 0.0014 (0.0119) time: 2.9659 data: 0.0062 max mem: 31630 Epoch: [7] [ 880/5278] eta: 3:40:57 lr: 4.185973580584256e-05 loss: 0.1265 (0.1398) loss_seg: 0.1250 (0.1383) loss_lansim: 0.1313 (0.1414) loss_contra: 0.0014 (0.0122) time: 2.9657 data: 0.0062 max mem: 31630 Epoch: [7] [ 890/5278] eta: 3:40:26 lr: 4.185756180741636e-05 loss: 0.1265 (0.1397) loss_seg: 0.1250 (0.1382) loss_lansim: 0.1304 (0.1414) loss_contra: 0.0015 (0.0122) time: 2.9718 data: 0.0063 max mem: 31630 Epoch: [7] [ 900/5278] eta: 3:39:59 lr: 4.1855387796444186e-05 loss: 0.1172 (0.1394) loss_seg: 0.1157 (0.1379) loss_lansim: 0.1313 (0.1413) loss_contra: 0.0014 (0.0121) time: 2.9826 data: 0.0062 max mem: 31630 Epoch: [7] [ 910/5278] eta: 3:39:31 lr: 4.1853213772925225e-05 loss: 0.1176 (0.1394) loss_seg: 0.1162 (0.1379) loss_lansim: 0.1320 (0.1413) loss_contra: 0.0016 (0.0122) time: 2.9882 data: 0.0062 max mem: 31630 Epoch: [7] [ 920/5278] eta: 3:39:02 lr: 4.18510397368587e-05 loss: 0.1172 (0.1392) loss_seg: 0.1157 (0.1377) loss_lansim: 0.1329 (0.1413) loss_contra: 0.0016 (0.0122) time: 3.0025 data: 0.0062 max mem: 31630 Epoch: [7] [ 930/5278] eta: 3:38:36 lr: 4.184886568824381e-05 loss: 0.1176 (0.1397) loss_seg: 0.1161 (0.1382) loss_lansim: 0.1351 (0.1414) loss_contra: 0.0018 (0.0122) time: 3.0140 data: 0.0060 max mem: 31630 Epoch: [7] [ 940/5278] eta: 3:38:07 lr: 4.184669162707975e-05 loss: 0.1236 (0.1396) loss_seg: 0.1223 (0.1381) loss_lansim: 0.1374 (0.1414) loss_contra: 0.0028 (0.0126) time: 3.0183 data: 0.0059 max mem: 31630 Epoch: [7] [ 950/5278] eta: 3:37:39 lr: 4.184451755336574e-05 loss: 0.1252 (0.1400) loss_seg: 0.1234 (0.1385) loss_lansim: 0.1386 (0.1414) loss_contra: 0.0034 (0.0126) time: 3.0307 data: 0.0058 max mem: 31630 Epoch: [7] [ 960/5278] eta: 3:37:12 lr: 4.1842343467100956e-05 loss: 0.1268 (0.1401) loss_seg: 0.1251 (0.1386) loss_lansim: 0.1388 (0.1415) loss_contra: 0.0036 (0.0126) time: 3.0423 data: 0.0058 max mem: 31630 Epoch: [7] [ 970/5278] eta: 3:36:40 lr: 4.184016936828463e-05 loss: 0.1265 (0.1400) loss_seg: 0.1251 (0.1385) loss_lansim: 0.1408 (0.1415) loss_contra: 0.0036 (0.0126) time: 3.0437 data: 0.0058 max mem: 31630 Epoch: [7] [ 980/5278] eta: 3:36:10 lr: 4.183799525691594e-05 loss: 0.1252 (0.1400) loss_seg: 0.1234 (0.1385) loss_lansim: 0.1408 (0.1414) loss_contra: 0.0034 (0.0125) time: 3.0475 data: 0.0058 max mem: 31630 Epoch: [7] [ 990/5278] eta: 3:35:41 lr: 4.1835821132994114e-05 loss: 0.1252 (0.1403) loss_seg: 0.1234 (0.1387) loss_lansim: 0.1379 (0.1413) loss_contra: 0.0032 (0.0126) time: 3.0519 data: 0.0057 max mem: 31630 Epoch: [7] [1000/5278] eta: 3:35:09 lr: 4.1833646996518336e-05 loss: 0.1288 (0.1402) loss_seg: 0.1272 (0.1387) loss_lansim: 0.1374 (0.1410) loss_contra: 0.0032 (0.0125) time: 3.0432 data: 0.0057 max mem: 31630 Epoch: [7] [1010/5278] eta: 3:34:39 lr: 4.183147284748781e-05 loss: 0.1394 (0.1404) loss_seg: 0.1380 (0.1388) loss_lansim: 0.1336 (0.1408) loss_contra: 0.0032 (0.0125) time: 3.0378 data: 0.0057 max mem: 31630 Epoch: [7] [1020/5278] eta: 3:34:10 lr: 4.182929868590174e-05 loss: 0.1421 (0.1404) loss_seg: 0.1405 (0.1388) loss_lansim: 0.1296 (0.1405) loss_contra: 0.0028 (0.0124) time: 3.0385 data: 0.0057 max mem: 31630 Epoch: [7] [1030/5278] eta: 3:33:38 lr: 4.182712451175933e-05 loss: 0.1412 (0.1404) loss_seg: 0.1400 (0.1388) loss_lansim: 0.1262 (0.1403) loss_contra: 0.0029 (0.0124) time: 3.0257 data: 0.0057 max mem: 31630 Epoch: [7] [1040/5278] eta: 3:33:07 lr: 4.182495032505979e-05 loss: 0.1392 (0.1402) loss_seg: 0.1378 (0.1387) loss_lansim: 0.1255 (0.1401) loss_contra: 0.0024 (0.0124) time: 3.0231 data: 0.0057 max mem: 31630 Epoch: [7] [1050/5278] eta: 3:32:38 lr: 4.182277612580231e-05 loss: 0.1322 (0.1399) loss_seg: 0.1310 (0.1384) loss_lansim: 0.1227 (0.1399) loss_contra: 0.0021 (0.0123) time: 3.0200 data: 0.0058 max mem: 31630 Epoch: [7] [1060/5278] eta: 3:32:07 lr: 4.1820601913986104e-05 loss: 0.1243 (0.1398) loss_seg: 0.1231 (0.1383) loss_lansim: 0.1222 (0.1398) loss_contra: 0.0021 (0.0123) time: 3.0111 data: 0.0059 max mem: 31630 Epoch: [7] [1070/5278] eta: 3:31:38 lr: 4.1818427689610356e-05 loss: 0.1243 (0.1396) loss_seg: 0.1231 (0.1381) loss_lansim: 0.1202 (0.1397) loss_contra: 0.0018 (0.0122) time: 3.0162 data: 0.0061 max mem: 31630 Epoch: [7] [1080/5278] eta: 3:31:07 lr: 4.181625345267429e-05 loss: 0.1234 (0.1395) loss_seg: 0.1221 (0.1380) loss_lansim: 0.1200 (0.1395) loss_contra: 0.0018 (0.0122) time: 3.0163 data: 0.0062 max mem: 31630 Epoch: [7] [1090/5278] eta: 3:30:37 lr: 4.181407920317709e-05 loss: 0.1226 (0.1393) loss_seg: 0.1213 (0.1378) loss_lansim: 0.1190 (0.1394) loss_contra: 0.0020 (0.0122) time: 3.0135 data: 0.0063 max mem: 31630 Epoch: [7] [1100/5278] eta: 3:30:06 lr: 4.1811904941117955e-05 loss: 0.1234 (0.1394) loss_seg: 0.1221 (0.1379) loss_lansim: 0.1200 (0.1393) loss_contra: 0.0021 (0.0122) time: 3.0138 data: 0.0064 max mem: 31630 Epoch: [7] [1110/5278] eta: 3:29:37 lr: 4.180973066649611e-05 loss: 0.1223 (0.1393) loss_seg: 0.1210 (0.1378) loss_lansim: 0.1202 (0.1391) loss_contra: 0.0022 (0.0121) time: 3.0190 data: 0.0065 max mem: 31630 Epoch: [7] [1120/5278] eta: 3:29:08 lr: 4.180755637931074e-05 loss: 0.1233 (0.1394) loss_seg: 0.1215 (0.1379) loss_lansim: 0.1232 (0.1390) loss_contra: 0.0022 (0.0122) time: 3.0186 data: 0.0066 max mem: 31630 Epoch: [7] [1130/5278] eta: 3:28:37 lr: 4.180538207956105e-05 loss: 0.1223 (0.1393) loss_seg: 0.1210 (0.1378) loss_lansim: 0.1234 (0.1388) loss_contra: 0.0022 (0.0124) time: 3.0203 data: 0.0066 max mem: 31630 Epoch: [7] [1140/5278] eta: 3:28:08 lr: 4.180320776724624e-05 loss: 0.1227 (0.1393) loss_seg: 0.1210 (0.1378) loss_lansim: 0.1234 (0.1387) loss_contra: 0.0022 (0.0123) time: 3.0240 data: 0.0067 max mem: 31630 Epoch: [7] [1150/5278] eta: 3:27:39 lr: 4.18010334423655e-05 loss: 0.1227 (0.1392) loss_seg: 0.1210 (0.1377) loss_lansim: 0.1234 (0.1385) loss_contra: 0.0023 (0.0124) time: 3.0235 data: 0.0067 max mem: 31630 Epoch: [7] [1160/5278] eta: 3:27:08 lr: 4.179885910491805e-05 loss: 0.1211 (0.1389) loss_seg: 0.1196 (0.1374) loss_lansim: 0.1230 (0.1384) loss_contra: 0.0026 (0.0125) time: 3.0251 data: 0.0065 max mem: 31630 Epoch: [7] [1170/5278] eta: 3:26:38 lr: 4.1796684754903087e-05 loss: 0.1227 (0.1389) loss_seg: 0.1210 (0.1374) loss_lansim: 0.1200 (0.1382) loss_contra: 0.0026 (0.0124) time: 3.0219 data: 0.0065 max mem: 31630 Epoch: [7] [1180/5278] eta: 3:26:09 lr: 4.1794510392319805e-05 loss: 0.1261 (0.1389) loss_seg: 0.1250 (0.1374) loss_lansim: 0.1194 (0.1380) loss_contra: 0.0028 (0.0124) time: 3.0276 data: 0.0064 max mem: 31630 Epoch: [7] [1190/5278] eta: 3:25:39 lr: 4.1792336017167415e-05 loss: 0.1287 (0.1391) loss_seg: 0.1277 (0.1376) loss_lansim: 0.1175 (0.1378) loss_contra: 0.0029 (0.0124) time: 3.0276 data: 0.0064 max mem: 31630 Epoch: [7] [1200/5278] eta: 3:25:09 lr: 4.179016162944511e-05 loss: 0.1286 (0.1392) loss_seg: 0.1274 (0.1377) loss_lansim: 0.1175 (0.1377) loss_contra: 0.0033 (0.0125) time: 3.0310 data: 0.0063 max mem: 31630 Epoch: [7] [1210/5278] eta: 3:24:39 lr: 4.1787987229152084e-05 loss: 0.1287 (0.1392) loss_seg: 0.1277 (0.1377) loss_lansim: 0.1179 (0.1375) loss_contra: 0.0032 (0.0125) time: 3.0284 data: 0.0062 max mem: 31630 Epoch: [7] [1220/5278] eta: 3:24:11 lr: 4.178581281628755e-05 loss: 0.1284 (0.1391) loss_seg: 0.1272 (0.1376) loss_lansim: 0.1175 (0.1374) loss_contra: 0.0035 (0.0126) time: 3.0327 data: 0.0061 max mem: 31630 Epoch: [7] [1230/5278] eta: 3:23:44 lr: 4.17836383908507e-05 loss: 0.1286 (0.1392) loss_seg: 0.1274 (0.1378) loss_lansim: 0.1175 (0.1372) loss_contra: 0.0028 (0.0125) time: 3.0434 data: 0.0062 max mem: 31630 Epoch: [7] [1240/5278] eta: 3:23:18 lr: 4.178146395284074e-05 loss: 0.1287 (0.1392) loss_seg: 0.1277 (0.1377) loss_lansim: 0.1184 (0.1371) loss_contra: 0.0029 (0.0124) time: 3.0528 data: 0.0062 max mem: 31630 Epoch: [7] [1250/5278] eta: 3:22:50 lr: 4.1779289502256865e-05 loss: 0.1323 (0.1393) loss_seg: 0.1307 (0.1378) loss_lansim: 0.1194 (0.1371) loss_contra: 0.0027 (0.0124) time: 3.0605 data: 0.0062 max mem: 31630 Epoch: [7] [1260/5278] eta: 3:22:23 lr: 4.177711503909828e-05 loss: 0.1358 (0.1394) loss_seg: 0.1347 (0.1379) loss_lansim: 0.1202 (0.1370) loss_contra: 0.0023 (0.0123) time: 3.0695 data: 0.0063 max mem: 31630 Epoch: [7] [1270/5278] eta: 3:21:55 lr: 4.177494056336419e-05 loss: 0.1363 (0.1394) loss_seg: 0.1352 (0.1379) loss_lansim: 0.1218 (0.1369) loss_contra: 0.0027 (0.0123) time: 3.0791 data: 0.0064 max mem: 31630 Epoch: [7] [1280/5278] eta: 3:21:28 lr: 4.1772766075053775e-05 loss: 0.1385 (0.1394) loss_seg: 0.1371 (0.1379) loss_lansim: 0.1226 (0.1368) loss_contra: 0.0026 (0.0124) time: 3.0858 data: 0.0064 max mem: 31630 Epoch: [7] [1290/5278] eta: 3:20:57 lr: 4.1770591574166255e-05 loss: 0.1382 (0.1395) loss_seg: 0.1367 (0.1380) loss_lansim: 0.1239 (0.1368) loss_contra: 0.0023 (0.0125) time: 3.0830 data: 0.0063 max mem: 31630 Epoch: [7] [1300/5278] eta: 3:20:28 lr: 4.1768417060700825e-05 loss: 0.1382 (0.1396) loss_seg: 0.1367 (0.1381) loss_lansim: 0.1248 (0.1367) loss_contra: 0.0019 (0.0124) time: 3.0858 data: 0.0064 max mem: 31630 Epoch: [7] [1310/5278] eta: 3:19:57 lr: 4.176624253465668e-05 loss: 0.1382 (0.1396) loss_seg: 0.1367 (0.1381) loss_lansim: 0.1255 (0.1367) loss_contra: 0.0023 (0.0126) time: 3.0841 data: 0.0064 max mem: 31630 Epoch: [7] [1320/5278] eta: 3:19:28 lr: 4.176406799603303e-05 loss: 0.1358 (0.1396) loss_seg: 0.1347 (0.1381) loss_lansim: 0.1262 (0.1367) loss_contra: 0.0023 (0.0126) time: 3.0799 data: 0.0064 max mem: 31630 Epoch: [7] [1330/5278] eta: 3:18:56 lr: 4.176189344482906e-05 loss: 0.1354 (0.1397) loss_seg: 0.1340 (0.1382) loss_lansim: 0.1278 (0.1367) loss_contra: 0.0038 (0.0126) time: 3.0684 data: 0.0064 max mem: 31630 Epoch: [7] [1340/5278] eta: 3:18:26 lr: 4.175971888104397e-05 loss: 0.1354 (0.1398) loss_seg: 0.1340 (0.1383) loss_lansim: 0.1283 (0.1367) loss_contra: 0.0039 (0.0126) time: 3.0567 data: 0.0063 max mem: 31630 Epoch: [7] [1350/5278] eta: 3:17:55 lr: 4.1757544304676973e-05 loss: 0.1398 (0.1399) loss_seg: 0.1382 (0.1384) loss_lansim: 0.1287 (0.1366) loss_contra: 0.0038 (0.0127) time: 3.0446 data: 0.0063 max mem: 31630 Epoch: [7] [1360/5278] eta: 3:17:25 lr: 4.175536971572726e-05 loss: 0.1400 (0.1400) loss_seg: 0.1387 (0.1385) loss_lansim: 0.1283 (0.1366) loss_contra: 0.0038 (0.0127) time: 3.0370 data: 0.0063 max mem: 31630 Epoch: [7] [1370/5278] eta: 3:16:54 lr: 4.1753195114194026e-05 loss: 0.1354 (0.1400) loss_seg: 0.1340 (0.1385) loss_lansim: 0.1283 (0.1364) loss_contra: 0.0039 (0.0127) time: 3.0270 data: 0.0063 max mem: 31630 Epoch: [7] [1380/5278] eta: 3:16:25 lr: 4.1751020500076484e-05 loss: 0.1354 (0.1403) loss_seg: 0.1340 (0.1388) loss_lansim: 0.1282 (0.1363) loss_contra: 0.0037 (0.0126) time: 3.0193 data: 0.0063 max mem: 31630 Epoch: [7] [1390/5278] eta: 3:15:53 lr: 4.174884587337381e-05 loss: 0.1332 (0.1402) loss_seg: 0.1319 (0.1388) loss_lansim: 0.1253 (0.1361) loss_contra: 0.0029 (0.0126) time: 3.0182 data: 0.0064 max mem: 31630 Epoch: [7] [1400/5278] eta: 3:15:23 lr: 4.1746671234085224e-05 loss: 0.1304 (0.1402) loss_seg: 0.1293 (0.1387) loss_lansim: 0.1225 (0.1359) loss_contra: 0.0035 (0.0128) time: 3.0153 data: 0.0064 max mem: 31630 Epoch: [7] [1410/5278] eta: 3:14:52 lr: 4.174449658220992e-05 loss: 0.1304 (0.1401) loss_seg: 0.1293 (0.1386) loss_lansim: 0.1207 (0.1358) loss_contra: 0.0029 (0.0128) time: 3.0144 data: 0.0064 max mem: 31630 Epoch: [7] [1420/5278] eta: 3:14:22 lr: 4.1742321917747086e-05 loss: 0.1332 (0.1400) loss_seg: 0.1319 (0.1385) loss_lansim: 0.1202 (0.1357) loss_contra: 0.0024 (0.0128) time: 3.0127 data: 0.0064 max mem: 31630 Epoch: [7] [1430/5278] eta: 3:13:51 lr: 4.174014724069594e-05 loss: 0.1332 (0.1400) loss_seg: 0.1319 (0.1385) loss_lansim: 0.1198 (0.1357) loss_contra: 0.0025 (0.0128) time: 3.0117 data: 0.0064 max mem: 31630 Epoch: [7] [1440/5278] eta: 3:13:22 lr: 4.173797255105566e-05 loss: 0.1332 (0.1400) loss_seg: 0.1319 (0.1385) loss_lansim: 0.1188 (0.1356) loss_contra: 0.0026 (0.0129) time: 3.0163 data: 0.0064 max mem: 31630 Epoch: [7] [1450/5278] eta: 3:12:52 lr: 4.1735797848825445e-05 loss: 0.1304 (0.1400) loss_seg: 0.1293 (0.1385) loss_lansim: 0.1180 (0.1356) loss_contra: 0.0026 (0.0129) time: 3.0200 data: 0.0064 max mem: 31630 Epoch: [7] [1460/5278] eta: 3:12:20 lr: 4.173362313400451e-05 loss: 0.1332 (0.1402) loss_seg: 0.1319 (0.1388) loss_lansim: 0.1191 (0.1356) loss_contra: 0.0026 (0.0129) time: 3.0134 data: 0.0064 max mem: 31630 Epoch: [7] [1470/5278] eta: 3:11:49 lr: 4.173144840659204e-05 loss: 0.1371 (0.1403) loss_seg: 0.1352 (0.1389) loss_lansim: 0.1210 (0.1356) loss_contra: 0.0025 (0.0129) time: 3.0150 data: 0.0064 max mem: 31630 Epoch: [7] [1480/5278] eta: 3:11:19 lr: 4.1729273666587235e-05 loss: 0.1366 (0.1403) loss_seg: 0.1351 (0.1388) loss_lansim: 0.1208 (0.1354) loss_contra: 0.0026 (0.0130) time: 3.0083 data: 0.0064 max mem: 31630 Epoch: [7] [1490/5278] eta: 3:10:48 lr: 4.17270989139893e-05 loss: 0.1366 (0.1402) loss_seg: 0.1351 (0.1387) loss_lansim: 0.1198 (0.1351) loss_contra: 0.0034 (0.0130) time: 3.0105 data: 0.0063 max mem: 31630 Epoch: [7] [1500/5278] eta: 3:10:18 lr: 4.172492414879742e-05 loss: 0.1371 (0.1401) loss_seg: 0.1352 (0.1386) loss_lansim: 0.1177 (0.1349) loss_contra: 0.0033 (0.0131) time: 3.0135 data: 0.0062 max mem: 31630 Epoch: [7] [1510/5278] eta: 3:09:47 lr: 4.172274937101081e-05 loss: 0.1422 (0.1402) loss_seg: 0.1407 (0.1388) loss_lansim: 0.1146 (0.1347) loss_contra: 0.0049 (0.0132) time: 3.0123 data: 0.0061 max mem: 31630 Epoch: [7] [1520/5278] eta: 3:09:18 lr: 4.1720574580628655e-05 loss: 0.1405 (0.1402) loss_seg: 0.1395 (0.1387) loss_lansim: 0.1135 (0.1345) loss_contra: 0.0036 (0.0131) time: 3.0135 data: 0.0062 max mem: 31630 Epoch: [7] [1530/5278] eta: 3:08:48 lr: 4.1718399777650155e-05 loss: 0.1382 (0.1400) loss_seg: 0.1373 (0.1385) loss_lansim: 0.1095 (0.1342) loss_contra: 0.0040 (0.0132) time: 3.0218 data: 0.0062 max mem: 31630 Epoch: [7] [1540/5278] eta: 3:08:17 lr: 4.171622496207451e-05 loss: 0.1381 (0.1399) loss_seg: 0.1369 (0.1384) loss_lansim: 0.1043 (0.1339) loss_contra: 0.0033 (0.0131) time: 3.0149 data: 0.0062 max mem: 31630 Epoch: [7] [1550/5278] eta: 3:07:48 lr: 4.1714050133900904e-05 loss: 0.1382 (0.1400) loss_seg: 0.1373 (0.1385) loss_lansim: 0.1017 (0.1337) loss_contra: 0.0034 (0.0131) time: 3.0176 data: 0.0062 max mem: 31630 Epoch: [7] [1560/5278] eta: 3:07:21 lr: 4.171187529312856e-05 loss: 0.1277 (0.1398) loss_seg: 0.1266 (0.1383) loss_lansim: 0.1005 (0.1335) loss_contra: 0.0039 (0.0131) time: 3.0364 data: 0.0063 max mem: 31630 Epoch: [7] [1570/5278] eta: 3:06:52 lr: 4.1709700439756655e-05 loss: 0.1245 (0.1396) loss_seg: 0.1233 (0.1382) loss_lansim: 0.0983 (0.1333) loss_contra: 0.0028 (0.0130) time: 3.0428 data: 0.0062 max mem: 31630 Epoch: [7] [1580/5278] eta: 3:06:23 lr: 4.170752557378439e-05 loss: 0.1245 (0.1398) loss_seg: 0.1233 (0.1383) loss_lansim: 0.0959 (0.1330) loss_contra: 0.0026 (0.0130) time: 3.0495 data: 0.0063 max mem: 31630 Epoch: [7] [1590/5278] eta: 3:05:55 lr: 4.170535069521096e-05 loss: 0.1233 (0.1397) loss_seg: 0.1224 (0.1383) loss_lansim: 0.0963 (0.1328) loss_contra: 0.0024 (0.0130) time: 3.0626 data: 0.0063 max mem: 31630 Epoch: [7] [1600/5278] eta: 3:05:27 lr: 4.1703175804035565e-05 loss: 0.1233 (0.1396) loss_seg: 0.1224 (0.1382) loss_lansim: 0.0954 (0.1325) loss_contra: 0.0022 (0.0130) time: 3.0695 data: 0.0063 max mem: 31630 Epoch: [7] [1610/5278] eta: 3:04:57 lr: 4.1701000900257414e-05 loss: 0.1225 (0.1396) loss_seg: 0.1210 (0.1381) loss_lansim: 0.0934 (0.1322) loss_contra: 0.0020 (0.0129) time: 3.0761 data: 0.0063 max mem: 31630 Epoch: [7] [1620/5278] eta: 3:04:27 lr: 4.169882598387568e-05 loss: 0.1223 (0.1396) loss_seg: 0.1208 (0.1381) loss_lansim: 0.0929 (0.1320) loss_contra: 0.0022 (0.0129) time: 3.0728 data: 0.0063 max mem: 31630 Epoch: [7] [1630/5278] eta: 3:03:57 lr: 4.1696651054889574e-05 loss: 0.1223 (0.1395) loss_seg: 0.1208 (0.1381) loss_lansim: 0.0929 (0.1317) loss_contra: 0.0018 (0.0131) time: 3.0722 data: 0.0062 max mem: 31630 Epoch: [7] [1640/5278] eta: 3:03:26 lr: 4.16944761132983e-05 loss: 0.1222 (0.1394) loss_seg: 0.1208 (0.1380) loss_lansim: 0.0928 (0.1315) loss_contra: 0.0018 (0.0131) time: 3.0724 data: 0.0063 max mem: 31630 Epoch: [7] [1650/5278] eta: 3:02:56 lr: 4.1692301159101034e-05 loss: 0.1225 (0.1397) loss_seg: 0.1212 (0.1383) loss_lansim: 0.0928 (0.1313) loss_contra: 0.0018 (0.0131) time: 3.0700 data: 0.0063 max mem: 31630 Epoch: [7] [1660/5278] eta: 3:02:26 lr: 4.169012619229698e-05 loss: 0.1285 (0.1398) loss_seg: 0.1276 (0.1383) loss_lansim: 0.0931 (0.1311) loss_contra: 0.0018 (0.0132) time: 3.0598 data: 0.0062 max mem: 31630 Epoch: [7] [1670/5278] eta: 3:01:56 lr: 4.168795121288534e-05 loss: 0.1330 (0.1397) loss_seg: 0.1321 (0.1383) loss_lansim: 0.0937 (0.1309) loss_contra: 0.0024 (0.0131) time: 3.0513 data: 0.0063 max mem: 31630 Epoch: [7] [1680/5278] eta: 3:01:25 lr: 4.1685776220865306e-05 loss: 0.1341 (0.1398) loss_seg: 0.1328 (0.1384) loss_lansim: 0.0947 (0.1308) loss_contra: 0.0024 (0.0131) time: 3.0443 data: 0.0063 max mem: 31630 Epoch: [7] [1690/5278] eta: 3:00:55 lr: 4.168360121623607e-05 loss: 0.1361 (0.1399) loss_seg: 0.1352 (0.1384) loss_lansim: 0.0959 (0.1306) loss_contra: 0.0025 (0.0131) time: 3.0355 data: 0.0063 max mem: 31630 Epoch: [7] [1700/5278] eta: 3:00:24 lr: 4.168142619899684e-05 loss: 0.1356 (0.1398) loss_seg: 0.1347 (0.1384) loss_lansim: 0.0970 (0.1305) loss_contra: 0.0033 (0.0131) time: 3.0226 data: 0.0063 max mem: 31630 Epoch: [7] [1710/5278] eta: 2:59:54 lr: 4.16792511691468e-05 loss: 0.1361 (0.1399) loss_seg: 0.1352 (0.1385) loss_lansim: 0.0982 (0.1303) loss_contra: 0.0029 (0.0131) time: 3.0240 data: 0.0062 max mem: 31630 Epoch: [7] [1720/5278] eta: 2:59:24 lr: 4.167707612668516e-05 loss: 0.1356 (0.1398) loss_seg: 0.1346 (0.1383) loss_lansim: 0.0995 (0.1301) loss_contra: 0.0025 (0.0131) time: 3.0223 data: 0.0062 max mem: 31630 Epoch: [7] [1730/5278] eta: 2:58:54 lr: 4.1674901071611085e-05 loss: 0.1383 (0.1398) loss_seg: 0.1365 (0.1384) loss_lansim: 0.1000 (0.1299) loss_contra: 0.0025 (0.0131) time: 3.0226 data: 0.0063 max mem: 31630 Epoch: [7] [1740/5278] eta: 2:58:23 lr: 4.16727260039238e-05 loss: 0.1392 (0.1398) loss_seg: 0.1380 (0.1383) loss_lansim: 0.1006 (0.1298) loss_contra: 0.0025 (0.0131) time: 3.0211 data: 0.0063 max mem: 31630 Epoch: [7] [1750/5278] eta: 2:57:52 lr: 4.167055092362249e-05 loss: 0.1383 (0.1397) loss_seg: 0.1365 (0.1383) loss_lansim: 0.0996 (0.1296) loss_contra: 0.0021 (0.0133) time: 3.0192 data: 0.0062 max mem: 31630 Epoch: [7] [1760/5278] eta: 2:57:23 lr: 4.1668375830706354e-05 loss: 0.1356 (0.1397) loss_seg: 0.1347 (0.1383) loss_lansim: 0.0981 (0.1293) loss_contra: 0.0021 (0.0133) time: 3.0200 data: 0.0062 max mem: 31630 Epoch: [7] [1770/5278] eta: 2:56:52 lr: 4.1666200725174584e-05 loss: 0.1349 (0.1399) loss_seg: 0.1340 (0.1384) loss_lansim: 0.0973 (0.1291) loss_contra: 0.0021 (0.0133) time: 3.0227 data: 0.0061 max mem: 31630 Epoch: [7] [1780/5278] eta: 2:56:22 lr: 4.166402560702638e-05 loss: 0.1306 (0.1398) loss_seg: 0.1290 (0.1384) loss_lansim: 0.0963 (0.1290) loss_contra: 0.0021 (0.0133) time: 3.0275 data: 0.0061 max mem: 31630 Epoch: [7] [1790/5278] eta: 2:55:52 lr: 4.166185047626092e-05 loss: 0.1297 (0.1398) loss_seg: 0.1285 (0.1384) loss_lansim: 0.0954 (0.1288) loss_contra: 0.0020 (0.0134) time: 3.0232 data: 0.0061 max mem: 31630 Epoch: [7] [1800/5278] eta: 2:55:22 lr: 4.1659675332877425e-05 loss: 0.1289 (0.1398) loss_seg: 0.1281 (0.1383) loss_lansim: 0.0948 (0.1286) loss_contra: 0.0021 (0.0134) time: 3.0304 data: 0.0061 max mem: 31630 Epoch: [7] [1810/5278] eta: 2:54:52 lr: 4.165750017687506e-05 loss: 0.1274 (0.1397) loss_seg: 0.1265 (0.1383) loss_lansim: 0.0945 (0.1285) loss_contra: 0.0031 (0.0134) time: 3.0243 data: 0.0062 max mem: 31630 Epoch: [7] [1820/5278] eta: 2:54:21 lr: 4.165532500825305e-05 loss: 0.1350 (0.1399) loss_seg: 0.1341 (0.1385) loss_lansim: 0.0932 (0.1283) loss_contra: 0.0032 (0.0134) time: 3.0266 data: 0.0062 max mem: 31630 Epoch: [7] [1830/5278] eta: 2:53:51 lr: 4.1653149827010576e-05 loss: 0.1289 (0.1399) loss_seg: 0.1281 (0.1385) loss_lansim: 0.0932 (0.1281) loss_contra: 0.0039 (0.0134) time: 3.0251 data: 0.0062 max mem: 31630 Epoch: [7] [1840/5278] eta: 2:53:21 lr: 4.165097463314683e-05 loss: 0.1291 (0.1400) loss_seg: 0.1283 (0.1386) loss_lansim: 0.0922 (0.1279) loss_contra: 0.0036 (0.0134) time: 3.0284 data: 0.0062 max mem: 31630 Epoch: [7] [1850/5278] eta: 2:52:51 lr: 4.1648799426661e-05 loss: 0.1289 (0.1399) loss_seg: 0.1281 (0.1385) loss_lansim: 0.0922 (0.1277) loss_contra: 0.0035 (0.0134) time: 3.0327 data: 0.0063 max mem: 31630 Epoch: [7] [1860/5278] eta: 2:52:22 lr: 4.16466242075523e-05 loss: 0.1306 (0.1401) loss_seg: 0.1290 (0.1387) loss_lansim: 0.0922 (0.1275) loss_contra: 0.0031 (0.0134) time: 3.0361 data: 0.0063 max mem: 31630 Epoch: [7] [1870/5278] eta: 2:51:51 lr: 4.1644448975819904e-05 loss: 0.1306 (0.1400) loss_seg: 0.1290 (0.1386) loss_lansim: 0.0932 (0.1273) loss_contra: 0.0031 (0.0134) time: 3.0306 data: 0.0064 max mem: 31630 Epoch: [7] [1880/5278] eta: 2:51:23 lr: 4.164227373146302e-05 loss: 0.1354 (0.1400) loss_seg: 0.1346 (0.1386) loss_lansim: 0.0932 (0.1271) loss_contra: 0.0035 (0.0135) time: 3.0412 data: 0.0064 max mem: 31630 Epoch: [7] [1890/5278] eta: 2:50:55 lr: 4.164009847448083e-05 loss: 0.1354 (0.1399) loss_seg: 0.1346 (0.1385) loss_lansim: 0.0937 (0.1270) loss_contra: 0.0038 (0.0135) time: 3.0551 data: 0.0065 max mem: 31630 Epoch: [7] [1900/5278] eta: 2:50:26 lr: 4.163792320487255e-05 loss: 0.1358 (0.1400) loss_seg: 0.1348 (0.1386) loss_lansim: 0.0940 (0.1269) loss_contra: 0.0042 (0.0135) time: 3.0623 data: 0.0064 max mem: 31630 Epoch: [7] [1910/5278] eta: 2:49:57 lr: 4.163574792263734e-05 loss: 0.1354 (0.1400) loss_seg: 0.1346 (0.1386) loss_lansim: 0.0940 (0.1267) loss_contra: 0.0038 (0.0136) time: 3.0711 data: 0.0064 max mem: 31630 Epoch: [7] [1920/5278] eta: 2:49:28 lr: 4.163357262777442e-05 loss: 0.1295 (0.1400) loss_seg: 0.1285 (0.1386) loss_lansim: 0.0950 (0.1266) loss_contra: 0.0038 (0.0135) time: 3.0771 data: 0.0063 max mem: 31630 Epoch: [7] [1930/5278] eta: 2:48:59 lr: 4.1631397320282986e-05 loss: 0.1332 (0.1401) loss_seg: 0.1322 (0.1387) loss_lansim: 0.0972 (0.1265) loss_contra: 0.0033 (0.0135) time: 3.0871 data: 0.0064 max mem: 31630 Epoch: [7] [1940/5278] eta: 2:48:29 lr: 4.16292220001622e-05 loss: 0.1305 (0.1400) loss_seg: 0.1296 (0.1386) loss_lansim: 0.0993 (0.1264) loss_contra: 0.0035 (0.0135) time: 3.0888 data: 0.0064 max mem: 31630 Epoch: [7] [1950/5278] eta: 2:47:59 lr: 4.162704666741129e-05 loss: 0.1318 (0.1401) loss_seg: 0.1307 (0.1387) loss_lansim: 0.1008 (0.1263) loss_contra: 0.0033 (0.0134) time: 3.0871 data: 0.0064 max mem: 31630 Epoch: [7] [1960/5278] eta: 2:47:28 lr: 4.1624871322029434e-05 loss: 0.1275 (0.1401) loss_seg: 0.1264 (0.1387) loss_lansim: 0.1014 (0.1262) loss_contra: 0.0033 (0.0134) time: 3.0789 data: 0.0064 max mem: 31630 Epoch: [7] [1970/5278] eta: 2:46:59 lr: 4.162269596401583e-05 loss: 0.1332 (0.1402) loss_seg: 0.1322 (0.1388) loss_lansim: 0.1031 (0.1261) loss_contra: 0.0036 (0.0134) time: 3.0887 data: 0.0064 max mem: 31630 Epoch: [7] [1980/5278] eta: 2:46:28 lr: 4.162052059336967e-05 loss: 0.1331 (0.1401) loss_seg: 0.1321 (0.1387) loss_lansim: 0.1033 (0.1260) loss_contra: 0.0031 (0.0134) time: 3.0761 data: 0.0064 max mem: 31630 Epoch: [7] [1990/5278] eta: 2:45:59 lr: 4.1618345210090135e-05 loss: 0.1332 (0.1401) loss_seg: 0.1322 (0.1387) loss_lansim: 0.1039 (0.1259) loss_contra: 0.0031 (0.0134) time: 3.0670 data: 0.0063 max mem: 31630 Epoch: [7] [2000/5278] eta: 2:45:28 lr: 4.161616981417643e-05 loss: 0.1318 (0.1400) loss_seg: 0.1307 (0.1386) loss_lansim: 0.1047 (0.1258) loss_contra: 0.0025 (0.0134) time: 3.0531 data: 0.0064 max mem: 31630 Epoch: [7] [2010/5278] eta: 2:44:58 lr: 4.1613994405627756e-05 loss: 0.1346 (0.1402) loss_seg: 0.1334 (0.1388) loss_lansim: 0.1045 (0.1257) loss_contra: 0.0018 (0.0134) time: 3.0505 data: 0.0064 max mem: 31630 Epoch: [7] [2020/5278] eta: 2:44:28 lr: 4.161181898444328e-05 loss: 0.1353 (0.1401) loss_seg: 0.1341 (0.1387) loss_lansim: 0.1050 (0.1256) loss_contra: 0.0016 (0.0134) time: 3.0473 data: 0.0064 max mem: 31630 Epoch: [7] [2030/5278] eta: 2:43:57 lr: 4.160964355062223e-05 loss: 0.1353 (0.1402) loss_seg: 0.1341 (0.1388) loss_lansim: 0.1047 (0.1256) loss_contra: 0.0016 (0.0133) time: 3.0282 data: 0.0063 max mem: 31630 Epoch: [7] [2040/5278] eta: 2:43:27 lr: 4.1607468104163765e-05 loss: 0.1353 (0.1402) loss_seg: 0.1341 (0.1388) loss_lansim: 0.1051 (0.1255) loss_contra: 0.0015 (0.0133) time: 3.0308 data: 0.0063 max mem: 31630 Epoch: [7] [2050/5278] eta: 2:42:57 lr: 4.160529264506709e-05 loss: 0.1387 (0.1403) loss_seg: 0.1376 (0.1389) loss_lansim: 0.1060 (0.1254) loss_contra: 0.0016 (0.0134) time: 3.0300 data: 0.0063 max mem: 31630 Epoch: [7] [2060/5278] eta: 2:42:26 lr: 4.1603117173331416e-05 loss: 0.1399 (0.1403) loss_seg: 0.1387 (0.1389) loss_lansim: 0.1085 (0.1254) loss_contra: 0.0027 (0.0133) time: 3.0300 data: 0.0063 max mem: 31630 Epoch: [7] [2070/5278] eta: 2:41:55 lr: 4.16009416889559e-05 loss: 0.1399 (0.1404) loss_seg: 0.1387 (0.1390) loss_lansim: 0.1062 (0.1253) loss_contra: 0.0016 (0.0134) time: 3.0245 data: 0.0063 max mem: 31630 Epoch: [7] [2080/5278] eta: 2:41:25 lr: 4.159876619193976e-05 loss: 0.1418 (0.1404) loss_seg: 0.1405 (0.1390) loss_lansim: 0.1070 (0.1252) loss_contra: 0.0028 (0.0133) time: 3.0237 data: 0.0063 max mem: 31630 Epoch: [7] [2090/5278] eta: 2:40:55 lr: 4.159659068228218e-05 loss: 0.1453 (0.1405) loss_seg: 0.1442 (0.1392) loss_lansim: 0.1065 (0.1251) loss_contra: 0.0021 (0.0133) time: 3.0243 data: 0.0064 max mem: 31630 Epoch: [7] [2100/5278] eta: 2:40:24 lr: 4.159441515998234e-05 loss: 0.1445 (0.1405) loss_seg: 0.1434 (0.1391) loss_lansim: 0.1061 (0.1250) loss_contra: 0.0030 (0.0134) time: 3.0233 data: 0.0063 max mem: 31630 Epoch: [7] [2110/5278] eta: 2:39:54 lr: 4.159223962503946e-05 loss: 0.1434 (0.1406) loss_seg: 0.1422 (0.1392) loss_lansim: 0.1062 (0.1250) loss_contra: 0.0037 (0.0134) time: 3.0202 data: 0.0063 max mem: 31630 Epoch: [7] [2120/5278] eta: 2:39:24 lr: 4.159006407745271e-05 loss: 0.1434 (0.1405) loss_seg: 0.1422 (0.1391) loss_lansim: 0.1101 (0.1250) loss_contra: 0.0040 (0.0134) time: 3.0211 data: 0.0063 max mem: 31630 Epoch: [7] [2130/5278] eta: 2:38:53 lr: 4.1587888517221285e-05 loss: 0.1414 (0.1405) loss_seg: 0.1403 (0.1391) loss_lansim: 0.1089 (0.1249) loss_contra: 0.0044 (0.0134) time: 3.0265 data: 0.0063 max mem: 31630 Epoch: [7] [2140/5278] eta: 2:38:23 lr: 4.158571294434438e-05 loss: 0.1418 (0.1406) loss_seg: 0.1405 (0.1392) loss_lansim: 0.1101 (0.1248) loss_contra: 0.0040 (0.0134) time: 3.0219 data: 0.0064 max mem: 31630 Epoch: [7] [2150/5278] eta: 2:37:53 lr: 4.158353735882118e-05 loss: 0.1318 (0.1405) loss_seg: 0.1306 (0.1391) loss_lansim: 0.1097 (0.1248) loss_contra: 0.0039 (0.0134) time: 3.0229 data: 0.0063 max mem: 31630 Epoch: [7] [2160/5278] eta: 2:37:22 lr: 4.158136176065089e-05 loss: 0.1311 (0.1406) loss_seg: 0.1297 (0.1392) loss_lansim: 0.1080 (0.1247) loss_contra: 0.0034 (0.0134) time: 3.0195 data: 0.0063 max mem: 31630 Epoch: [7] [2170/5278] eta: 2:36:51 lr: 4.1579186149832686e-05 loss: 0.1306 (0.1406) loss_seg: 0.1290 (0.1392) loss_lansim: 0.1080 (0.1246) loss_contra: 0.0030 (0.0133) time: 3.0216 data: 0.0063 max mem: 31630 Epoch: [7] [2180/5278] eta: 2:36:21 lr: 4.157701052636577e-05 loss: 0.1306 (0.1406) loss_seg: 0.1290 (0.1392) loss_lansim: 0.1079 (0.1245) loss_contra: 0.0026 (0.0133) time: 3.0209 data: 0.0063 max mem: 31630 Epoch: [7] [2190/5278] eta: 2:35:50 lr: 4.1574834890249334e-05 loss: 0.1277 (0.1407) loss_seg: 0.1264 (0.1393) loss_lansim: 0.1065 (0.1244) loss_contra: 0.0030 (0.0133) time: 3.0123 data: 0.0062 max mem: 31630 Epoch: [7] [2200/5278] eta: 2:35:19 lr: 4.1572659241482544e-05 loss: 0.1306 (0.1407) loss_seg: 0.1290 (0.1393) loss_lansim: 0.1080 (0.1243) loss_contra: 0.0026 (0.0133) time: 3.0155 data: 0.0062 max mem: 31630 Epoch: [7] [2210/5278] eta: 2:34:50 lr: 4.1570483580064627e-05 loss: 0.1260 (0.1405) loss_seg: 0.1251 (0.1392) loss_lansim: 0.1061 (0.1242) loss_contra: 0.0030 (0.0134) time: 3.0209 data: 0.0062 max mem: 31630 Epoch: [7] [2220/5278] eta: 2:34:20 lr: 4.1568307905994754e-05 loss: 0.1267 (0.1406) loss_seg: 0.1253 (0.1392) loss_lansim: 0.1042 (0.1242) loss_contra: 0.0026 (0.0134) time: 3.0178 data: 0.0062 max mem: 31630 Epoch: [7] [2230/5278] eta: 2:33:50 lr: 4.156613221927212e-05 loss: 0.1277 (0.1406) loss_seg: 0.1264 (0.1392) loss_lansim: 0.1041 (0.1241) loss_contra: 0.0025 (0.0134) time: 3.0250 data: 0.0062 max mem: 31630 Epoch: [7] [2240/5278] eta: 2:33:21 lr: 4.156395651989591e-05 loss: 0.1260 (0.1407) loss_seg: 0.1251 (0.1393) loss_lansim: 0.1039 (0.1240) loss_contra: 0.0025 (0.0135) time: 3.0334 data: 0.0061 max mem: 31630 Epoch: [7] [2250/5278] eta: 2:32:51 lr: 4.156178080786532e-05 loss: 0.1260 (0.1406) loss_seg: 0.1251 (0.1392) loss_lansim: 0.1039 (0.1239) loss_contra: 0.0026 (0.0135) time: 3.0372 data: 0.0062 max mem: 31630 Epoch: [7] [2260/5278] eta: 2:32:21 lr: 4.1559605083179545e-05 loss: 0.1274 (0.1406) loss_seg: 0.1262 (0.1392) loss_lansim: 0.1041 (0.1238) loss_contra: 0.0026 (0.0135) time: 3.0430 data: 0.0062 max mem: 31630 Epoch: [7] [2270/5278] eta: 2:31:50 lr: 4.155742934583777e-05 loss: 0.1274 (0.1406) loss_seg: 0.1262 (0.1393) loss_lansim: 0.1044 (0.1238) loss_contra: 0.0034 (0.0135) time: 3.0381 data: 0.0062 max mem: 31630 Epoch: [7] [2280/5278] eta: 2:31:20 lr: 4.155525359583918e-05 loss: 0.1274 (0.1406) loss_seg: 0.1262 (0.1393) loss_lansim: 0.1052 (0.1237) loss_contra: 0.0037 (0.0135) time: 3.0418 data: 0.0061 max mem: 31630 Epoch: [7] [2290/5278] eta: 2:30:49 lr: 4.1553077833182967e-05 loss: 0.1272 (0.1406) loss_seg: 0.1259 (0.1393) loss_lansim: 0.1071 (0.1236) loss_contra: 0.0034 (0.0135) time: 3.0472 data: 0.0062 max mem: 31630 Epoch: [7] [2300/5278] eta: 2:30:19 lr: 4.155090205786832e-05 loss: 0.1274 (0.1407) loss_seg: 0.1262 (0.1393) loss_lansim: 0.1053 (0.1236) loss_contra: 0.0037 (0.0135) time: 3.0461 data: 0.0061 max mem: 31630 Epoch: [7] [2310/5278] eta: 2:29:48 lr: 4.154872626989445e-05 loss: 0.1372 (0.1407) loss_seg: 0.1359 (0.1394) loss_lansim: 0.1072 (0.1235) loss_contra: 0.0030 (0.0135) time: 3.0386 data: 0.0062 max mem: 31630 Epoch: [7] [2320/5278] eta: 2:29:17 lr: 4.154655046926051e-05 loss: 0.1341 (0.1408) loss_seg: 0.1330 (0.1394) loss_lansim: 0.1071 (0.1235) loss_contra: 0.0030 (0.0135) time: 3.0306 data: 0.0061 max mem: 31630 Epoch: [7] [2330/5278] eta: 2:28:47 lr: 4.1544374655965717e-05 loss: 0.1341 (0.1408) loss_seg: 0.1330 (0.1394) loss_lansim: 0.1072 (0.1234) loss_contra: 0.0028 (0.0135) time: 3.0287 data: 0.0061 max mem: 31630 Epoch: [7] [2340/5278] eta: 2:28:18 lr: 4.154219883000926e-05 loss: 0.1374 (0.1408) loss_seg: 0.1363 (0.1395) loss_lansim: 0.1084 (0.1233) loss_contra: 0.0028 (0.0135) time: 3.0283 data: 0.0061 max mem: 31630 Epoch: [7] [2350/5278] eta: 2:27:47 lr: 4.154002299139031e-05 loss: 0.1406 (0.1409) loss_seg: 0.1396 (0.1395) loss_lansim: 0.1084 (0.1233) loss_contra: 0.0022 (0.0134) time: 3.0187 data: 0.0061 max mem: 31630 Epoch: [7] [2360/5278] eta: 2:27:17 lr: 4.1537847140108075e-05 loss: 0.1378 (0.1409) loss_seg: 0.1364 (0.1395) loss_lansim: 0.1084 (0.1232) loss_contra: 0.0024 (0.0140) time: 3.0180 data: 0.0062 max mem: 31630 Epoch: [7] [2370/5278] eta: 2:26:47 lr: 4.1535671276161726e-05 loss: 0.1374 (0.1409) loss_seg: 0.1363 (0.1395) loss_lansim: 0.1072 (0.1231) loss_contra: 0.0023 (0.0140) time: 3.0270 data: 0.0062 max mem: 31630 Epoch: [7] [2380/5278] eta: 2:26:16 lr: 4.1533495399550474e-05 loss: 0.1422 (0.1410) loss_seg: 0.1408 (0.1397) loss_lansim: 0.1072 (0.1231) loss_contra: 0.0027 (0.0141) time: 3.0247 data: 0.0062 max mem: 31630 Epoch: [7] [2390/5278] eta: 2:25:46 lr: 4.153131951027349e-05 loss: 0.1434 (0.1411) loss_seg: 0.1411 (0.1397) loss_lansim: 0.1072 (0.1230) loss_contra: 0.0028 (0.0141) time: 3.0225 data: 0.0062 max mem: 31630 Epoch: [7] [2400/5278] eta: 2:25:16 lr: 4.152914360832997e-05 loss: 0.1455 (0.1413) loss_seg: 0.1443 (0.1399) loss_lansim: 0.1069 (0.1229) loss_contra: 0.0028 (0.0142) time: 3.0279 data: 0.0062 max mem: 31630 Epoch: [7] [2410/5278] eta: 2:24:46 lr: 4.15269676937191e-05 loss: 0.1452 (0.1414) loss_seg: 0.1442 (0.1400) loss_lansim: 0.1069 (0.1229) loss_contra: 0.0028 (0.0142) time: 3.0311 data: 0.0061 max mem: 31630 Epoch: [7] [2420/5278] eta: 2:24:15 lr: 4.1524791766440074e-05 loss: 0.1423 (0.1413) loss_seg: 0.1411 (0.1399) loss_lansim: 0.1070 (0.1229) loss_contra: 0.0028 (0.0141) time: 3.0334 data: 0.0062 max mem: 31630 Epoch: [7] [2430/5278] eta: 2:23:45 lr: 4.152261582649208e-05 loss: 0.1443 (0.1413) loss_seg: 0.1427 (0.1400) loss_lansim: 0.1072 (0.1228) loss_contra: 0.0039 (0.0142) time: 3.0301 data: 0.0061 max mem: 31630 Epoch: [7] [2440/5278] eta: 2:23:14 lr: 4.1520439873874306e-05 loss: 0.1438 (0.1413) loss_seg: 0.1418 (0.1399) loss_lansim: 0.1072 (0.1227) loss_contra: 0.0044 (0.0143) time: 3.0232 data: 0.0062 max mem: 31630 Epoch: [7] [2450/5278] eta: 2:22:43 lr: 4.1518263908585934e-05 loss: 0.1413 (0.1413) loss_seg: 0.1400 (0.1400) loss_lansim: 0.1069 (0.1227) loss_contra: 0.0052 (0.0142) time: 3.0217 data: 0.0062 max mem: 31630 Epoch: [7] [2460/5278] eta: 2:22:13 lr: 4.1516087930626166e-05 loss: 0.1423 (0.1414) loss_seg: 0.1410 (0.1400) loss_lansim: 0.1064 (0.1226) loss_contra: 0.0056 (0.0142) time: 3.0241 data: 0.0061 max mem: 31630 Epoch: [7] [2470/5278] eta: 2:21:43 lr: 4.151391193999417e-05 loss: 0.1423 (0.1413) loss_seg: 0.1410 (0.1400) loss_lansim: 0.1080 (0.1226) loss_contra: 0.0048 (0.0142) time: 3.0184 data: 0.0061 max mem: 31630 Epoch: [7] [2480/5278] eta: 2:21:12 lr: 4.1511735936689155e-05 loss: 0.1356 (0.1414) loss_seg: 0.1345 (0.1400) loss_lansim: 0.1087 (0.1226) loss_contra: 0.0039 (0.0143) time: 3.0162 data: 0.0062 max mem: 31630 Epoch: [7] [2490/5278] eta: 2:20:42 lr: 4.150955992071029e-05 loss: 0.1354 (0.1414) loss_seg: 0.1341 (0.1400) loss_lansim: 0.1101 (0.1226) loss_contra: 0.0037 (0.0142) time: 3.0220 data: 0.0062 max mem: 31630 Epoch: [7] [2500/5278] eta: 2:20:12 lr: 4.150738389205678e-05 loss: 0.1283 (0.1413) loss_seg: 0.1270 (0.1399) loss_lansim: 0.1111 (0.1226) loss_contra: 0.0034 (0.0142) time: 3.0237 data: 0.0062 max mem: 31630 Epoch: [7] [2510/5278] eta: 2:19:42 lr: 4.150520785072781e-05 loss: 0.1327 (0.1414) loss_seg: 0.1312 (0.1400) loss_lansim: 0.1124 (0.1226) loss_contra: 0.0036 (0.0142) time: 3.0201 data: 0.0062 max mem: 31630 Epoch: [7] [2520/5278] eta: 2:19:12 lr: 4.1503031796722555e-05 loss: 0.1345 (0.1414) loss_seg: 0.1334 (0.1400) loss_lansim: 0.1130 (0.1226) loss_contra: 0.0036 (0.0142) time: 3.0317 data: 0.0063 max mem: 31630 Epoch: [7] [2530/5278] eta: 2:18:43 lr: 4.150085573004021e-05 loss: 0.1345 (0.1414) loss_seg: 0.1333 (0.1401) loss_lansim: 0.1155 (0.1226) loss_contra: 0.0028 (0.0143) time: 3.0410 data: 0.0065 max mem: 31630 Epoch: [7] [2540/5278] eta: 2:18:14 lr: 4.1498679650679975e-05 loss: 0.1345 (0.1416) loss_seg: 0.1333 (0.1402) loss_lansim: 0.1164 (0.1225) loss_contra: 0.0021 (0.0143) time: 3.0534 data: 0.0065 max mem: 31630 Epoch: [7] [2550/5278] eta: 2:17:44 lr: 4.149650355864102e-05 loss: 0.1337 (0.1416) loss_seg: 0.1325 (0.1402) loss_lansim: 0.1162 (0.1225) loss_contra: 0.0027 (0.0143) time: 3.0631 data: 0.0065 max mem: 31630 Epoch: [7] [2560/5278] eta: 2:17:15 lr: 4.149432745392253e-05 loss: 0.1321 (0.1415) loss_seg: 0.1309 (0.1401) loss_lansim: 0.1164 (0.1225) loss_contra: 0.0021 (0.0143) time: 3.0683 data: 0.0065 max mem: 31630 Epoch: [7] [2570/5278] eta: 2:16:45 lr: 4.149215133652371e-05 loss: 0.1321 (0.1414) loss_seg: 0.1309 (0.1401) loss_lansim: 0.1158 (0.1224) loss_contra: 0.0020 (0.0143) time: 3.0798 data: 0.0065 max mem: 31630 Epoch: [7] [2580/5278] eta: 2:16:15 lr: 4.148997520644373e-05 loss: 0.1327 (0.1415) loss_seg: 0.1309 (0.1401) loss_lansim: 0.1145 (0.1224) loss_contra: 0.0019 (0.0142) time: 3.0867 data: 0.0065 max mem: 31630 Epoch: [7] [2590/5278] eta: 2:15:46 lr: 4.148779906368179e-05 loss: 0.1321 (0.1414) loss_seg: 0.1309 (0.1401) loss_lansim: 0.1128 (0.1223) loss_contra: 0.0015 (0.0142) time: 3.0881 data: 0.0065 max mem: 31630 Epoch: [7] [2600/5278] eta: 2:15:16 lr: 4.1485622908237076e-05 loss: 0.1345 (0.1415) loss_seg: 0.1334 (0.1402) loss_lansim: 0.1123 (0.1223) loss_contra: 0.0018 (0.0142) time: 3.0861 data: 0.0065 max mem: 31630 Epoch: [7] [2610/5278] eta: 2:14:45 lr: 4.1483446740108776e-05 loss: 0.1337 (0.1415) loss_seg: 0.1309 (0.1401) loss_lansim: 0.1121 (0.1223) loss_contra: 0.0019 (0.0142) time: 3.0857 data: 0.0065 max mem: 31630 Epoch: [7] [2620/5278] eta: 2:14:14 lr: 4.1481270559296055e-05 loss: 0.1337 (0.1416) loss_seg: 0.1309 (0.1402) loss_lansim: 0.1115 (0.1222) loss_contra: 0.0019 (0.0142) time: 3.0750 data: 0.0064 max mem: 31630 Epoch: [7] [2630/5278] eta: 2:13:44 lr: 4.147909436579813e-05 loss: 0.1312 (0.1415) loss_seg: 0.1300 (0.1402) loss_lansim: 0.1101 (0.1222) loss_contra: 0.0018 (0.0141) time: 3.0678 data: 0.0063 max mem: 31630 Epoch: [7] [2640/5278] eta: 2:13:13 lr: 4.147691815961416e-05 loss: 0.1298 (0.1416) loss_seg: 0.1287 (0.1402) loss_lansim: 0.1095 (0.1221) loss_contra: 0.0022 (0.0142) time: 3.0503 data: 0.0064 max mem: 31630 Epoch: [7] [2650/5278] eta: 2:12:43 lr: 4.147474194074336e-05 loss: 0.1312 (0.1416) loss_seg: 0.1300 (0.1403) loss_lansim: 0.1101 (0.1221) loss_contra: 0.0022 (0.0141) time: 3.0464 data: 0.0063 max mem: 31630 Epoch: [7] [2660/5278] eta: 2:12:12 lr: 4.147256570918489e-05 loss: 0.1358 (0.1417) loss_seg: 0.1347 (0.1404) loss_lansim: 0.1101 (0.1221) loss_contra: 0.0020 (0.0141) time: 3.0381 data: 0.0063 max mem: 31630 Epoch: [7] [2670/5278] eta: 2:11:42 lr: 4.1470389464937955e-05 loss: 0.1362 (0.1417) loss_seg: 0.1351 (0.1404) loss_lansim: 0.1109 (0.1220) loss_contra: 0.0022 (0.0141) time: 3.0290 data: 0.0063 max mem: 31630 Epoch: [7] [2680/5278] eta: 2:11:12 lr: 4.146821320800173e-05 loss: 0.1299 (0.1417) loss_seg: 0.1288 (0.1403) loss_lansim: 0.1109 (0.1220) loss_contra: 0.0019 (0.0140) time: 3.0215 data: 0.0063 max mem: 31630 Epoch: [7] [2690/5278] eta: 2:10:41 lr: 4.146603693837541e-05 loss: 0.1358 (0.1417) loss_seg: 0.1347 (0.1403) loss_lansim: 0.1115 (0.1220) loss_contra: 0.0022 (0.0140) time: 3.0162 data: 0.0063 max mem: 31630 Epoch: [7] [2700/5278] eta: 2:10:11 lr: 4.146386065605817e-05 loss: 0.1356 (0.1417) loss_seg: 0.1344 (0.1403) loss_lansim: 0.1117 (0.1219) loss_contra: 0.0022 (0.0139) time: 3.0128 data: 0.0062 max mem: 31630 Epoch: [7] [2710/5278] eta: 2:09:40 lr: 4.146168436104921e-05 loss: 0.1339 (0.1416) loss_seg: 0.1325 (0.1403) loss_lansim: 0.1120 (0.1219) loss_contra: 0.0020 (0.0139) time: 3.0143 data: 0.0062 max mem: 31630 Epoch: [7] [2720/5278] eta: 2:09:10 lr: 4.14595080533477e-05 loss: 0.1381 (0.1417) loss_seg: 0.1364 (0.1403) loss_lansim: 0.1132 (0.1219) loss_contra: 0.0015 (0.0139) time: 3.0204 data: 0.0062 max mem: 31630 Epoch: [7] [2730/5278] eta: 2:08:40 lr: 4.1457331732952834e-05 loss: 0.1404 (0.1418) loss_seg: 0.1391 (0.1404) loss_lansim: 0.1136 (0.1219) loss_contra: 0.0018 (0.0138) time: 3.0151 data: 0.0062 max mem: 31630 Epoch: [7] [2740/5278] eta: 2:08:09 lr: 4.145515539986381e-05 loss: 0.1404 (0.1418) loss_seg: 0.1391 (0.1405) loss_lansim: 0.1144 (0.1219) loss_contra: 0.0016 (0.0138) time: 3.0180 data: 0.0061 max mem: 31630 Epoch: [7] [2750/5278] eta: 2:07:39 lr: 4.145297905407979e-05 loss: 0.1381 (0.1418) loss_seg: 0.1364 (0.1404) loss_lansim: 0.1151 (0.1219) loss_contra: 0.0018 (0.0138) time: 3.0202 data: 0.0061 max mem: 31630 Epoch: [7] [2760/5278] eta: 2:07:09 lr: 4.145080269559997e-05 loss: 0.1297 (0.1417) loss_seg: 0.1286 (0.1404) loss_lansim: 0.1139 (0.1218) loss_contra: 0.0019 (0.0138) time: 3.0227 data: 0.0061 max mem: 31630 Epoch: [7] [2770/5278] eta: 2:06:38 lr: 4.144862632442353e-05 loss: 0.1304 (0.1417) loss_seg: 0.1291 (0.1404) loss_lansim: 0.1137 (0.1218) loss_contra: 0.0019 (0.0138) time: 3.0191 data: 0.0061 max mem: 31630 Epoch: [7] [2780/5278] eta: 2:06:08 lr: 4.144644994054967e-05 loss: 0.1304 (0.1416) loss_seg: 0.1291 (0.1402) loss_lansim: 0.1128 (0.1217) loss_contra: 0.0023 (0.0138) time: 3.0219 data: 0.0060 max mem: 31630 Epoch: [7] [2790/5278] eta: 2:05:37 lr: 4.144427354397756e-05 loss: 0.1297 (0.1417) loss_seg: 0.1286 (0.1404) loss_lansim: 0.1122 (0.1216) loss_contra: 0.0021 (0.0138) time: 3.0213 data: 0.0060 max mem: 31630 Epoch: [7] [2800/5278] eta: 2:05:07 lr: 4.144209713470639e-05 loss: 0.1297 (0.1418) loss_seg: 0.1286 (0.1405) loss_lansim: 0.1112 (0.1216) loss_contra: 0.0023 (0.0138) time: 3.0218 data: 0.0060 max mem: 31630 Epoch: [7] [2810/5278] eta: 2:04:36 lr: 4.143992071273535e-05 loss: 0.1297 (0.1419) loss_seg: 0.1286 (0.1405) loss_lansim: 0.1090 (0.1215) loss_contra: 0.0023 (0.0138) time: 3.0184 data: 0.0061 max mem: 31630 Epoch: [7] [2820/5278] eta: 2:04:06 lr: 4.143774427806362e-05 loss: 0.1285 (0.1418) loss_seg: 0.1270 (0.1405) loss_lansim: 0.1055 (0.1214) loss_contra: 0.0024 (0.0138) time: 3.0205 data: 0.0062 max mem: 31630 Epoch: [7] [2830/5278] eta: 2:03:36 lr: 4.143556783069038e-05 loss: 0.1263 (0.1418) loss_seg: 0.1252 (0.1404) loss_lansim: 0.1048 (0.1213) loss_contra: 0.0023 (0.0139) time: 3.0198 data: 0.0062 max mem: 31630 Epoch: [7] [2840/5278] eta: 2:03:06 lr: 4.143339137061482e-05 loss: 0.1256 (0.1417) loss_seg: 0.1246 (0.1404) loss_lansim: 0.1032 (0.1213) loss_contra: 0.0023 (0.0138) time: 3.0252 data: 0.0063 max mem: 31630 Epoch: [7] [2850/5278] eta: 2:02:36 lr: 4.1431214897836136e-05 loss: 0.1256 (0.1417) loss_seg: 0.1246 (0.1404) loss_lansim: 0.1014 (0.1212) loss_contra: 0.0023 (0.0138) time: 3.0286 data: 0.0062 max mem: 31630 Epoch: [7] [2860/5278] eta: 2:02:06 lr: 4.1429038412353484e-05 loss: 0.1321 (0.1418) loss_seg: 0.1308 (0.1404) loss_lansim: 0.1012 (0.1211) loss_contra: 0.0023 (0.0138) time: 3.0321 data: 0.0062 max mem: 31630 Epoch: [7] [2870/5278] eta: 2:01:36 lr: 4.142686191416607e-05 loss: 0.1289 (0.1418) loss_seg: 0.1274 (0.1404) loss_lansim: 0.1004 (0.1211) loss_contra: 0.0023 (0.0138) time: 3.0405 data: 0.0063 max mem: 31630 Epoch: [7] [2880/5278] eta: 2:01:07 lr: 4.142468540327307e-05 loss: 0.1295 (0.1417) loss_seg: 0.1286 (0.1404) loss_lansim: 0.1014 (0.1210) loss_contra: 0.0022 (0.0137) time: 3.0546 data: 0.0063 max mem: 31630 Epoch: [7] [2890/5278] eta: 2:00:37 lr: 4.1422508879673674e-05 loss: 0.1295 (0.1419) loss_seg: 0.1286 (0.1405) loss_lansim: 0.1014 (0.1210) loss_contra: 0.0022 (0.0138) time: 3.0616 data: 0.0064 max mem: 31630 Epoch: [7] [2900/5278] eta: 2:00:07 lr: 4.1420332343367067e-05 loss: 0.1290 (0.1419) loss_seg: 0.1280 (0.1405) loss_lansim: 0.1035 (0.1210) loss_contra: 0.0022 (0.0138) time: 3.0705 data: 0.0064 max mem: 31630 Epoch: [7] [2910/5278] eta: 1:59:38 lr: 4.141815579435242e-05 loss: 0.1290 (0.1419) loss_seg: 0.1280 (0.1406) loss_lansim: 0.1050 (0.1210) loss_contra: 0.0023 (0.0138) time: 3.0794 data: 0.0064 max mem: 31630 Epoch: [7] [2920/5278] eta: 1:59:07 lr: 4.141597923262893e-05 loss: 0.1313 (0.1421) loss_seg: 0.1300 (0.1407) loss_lansim: 0.1088 (0.1210) loss_contra: 0.0030 (0.0141) time: 3.0778 data: 0.0063 max mem: 31630 Epoch: [7] [2930/5278] eta: 1:58:37 lr: 4.141380265819578e-05 loss: 0.1321 (0.1420) loss_seg: 0.1308 (0.1407) loss_lansim: 0.1109 (0.1210) loss_contra: 0.0038 (0.0140) time: 3.0763 data: 0.0063 max mem: 31630 Epoch: [7] [2940/5278] eta: 1:58:06 lr: 4.1411626071052145e-05 loss: 0.1345 (0.1421) loss_seg: 0.1332 (0.1408) loss_lansim: 0.1112 (0.1209) loss_contra: 0.0042 (0.0141) time: 3.0760 data: 0.0063 max mem: 31630 Epoch: [7] [2950/5278] eta: 1:57:36 lr: 4.140944947119721e-05 loss: 0.1358 (0.1422) loss_seg: 0.1346 (0.1408) loss_lansim: 0.1117 (0.1209) loss_contra: 0.0044 (0.0141) time: 3.0695 data: 0.0063 max mem: 31630 Epoch: [7] [2960/5278] eta: 1:57:06 lr: 4.1407272858630166e-05 loss: 0.1313 (0.1422) loss_seg: 0.1300 (0.1408) loss_lansim: 0.1124 (0.1209) loss_contra: 0.0046 (0.0141) time: 3.0629 data: 0.0062 max mem: 31630 Epoch: [7] [2970/5278] eta: 1:56:35 lr: 4.140509623335019e-05 loss: 0.1316 (0.1421) loss_seg: 0.1302 (0.1408) loss_lansim: 0.1134 (0.1209) loss_contra: 0.0055 (0.0142) time: 3.0575 data: 0.0063 max mem: 31630 Epoch: [7] [2980/5278] eta: 1:56:05 lr: 4.140291959535647e-05 loss: 0.1345 (0.1421) loss_seg: 0.1332 (0.1407) loss_lansim: 0.1155 (0.1209) loss_contra: 0.0073 (0.0142) time: 3.0413 data: 0.0062 max mem: 31630 Epoch: [7] [2990/5278] eta: 1:55:34 lr: 4.140074294464818e-05 loss: 0.1381 (0.1421) loss_seg: 0.1369 (0.1408) loss_lansim: 0.1141 (0.1208) loss_contra: 0.0076 (0.0142) time: 3.0322 data: 0.0062 max mem: 31630 Epoch: [7] [3000/5278] eta: 1:55:04 lr: 4.1398566281224514e-05 loss: 0.1345 (0.1422) loss_seg: 0.1332 (0.1408) loss_lansim: 0.1141 (0.1208) loss_contra: 0.0059 (0.0142) time: 3.0288 data: 0.0061 max mem: 31630 Epoch: [7] [3010/5278] eta: 1:54:33 lr: 4.1396389605084646e-05 loss: 0.1374 (0.1422) loss_seg: 0.1362 (0.1408) loss_lansim: 0.1124 (0.1208) loss_contra: 0.0058 (0.0142) time: 3.0182 data: 0.0061 max mem: 31630 Epoch: [7] [3020/5278] eta: 1:54:03 lr: 4.1394212916227764e-05 loss: 0.1314 (0.1421) loss_seg: 0.1300 (0.1408) loss_lansim: 0.1122 (0.1207) loss_contra: 0.0054 (0.0142) time: 3.0147 data: 0.0061 max mem: 31630 Epoch: [7] [3030/5278] eta: 1:53:33 lr: 4.1392036214653054e-05 loss: 0.1311 (0.1420) loss_seg: 0.1294 (0.1407) loss_lansim: 0.1117 (0.1207) loss_contra: 0.0050 (0.0142) time: 3.0257 data: 0.0061 max mem: 31630 Epoch: [7] [3040/5278] eta: 1:53:02 lr: 4.138985950035969e-05 loss: 0.1305 (0.1421) loss_seg: 0.1288 (0.1407) loss_lansim: 0.1115 (0.1206) loss_contra: 0.0045 (0.0141) time: 3.0162 data: 0.0061 max mem: 31630 Epoch: [7] [3050/5278] eta: 1:52:32 lr: 4.138768277334686e-05 loss: 0.1257 (0.1420) loss_seg: 0.1246 (0.1407) loss_lansim: 0.1110 (0.1206) loss_contra: 0.0043 (0.0141) time: 3.0228 data: 0.0061 max mem: 31630 Epoch: [7] [3060/5278] eta: 1:52:02 lr: 4.138550603361374e-05 loss: 0.1284 (0.1421) loss_seg: 0.1274 (0.1408) loss_lansim: 0.1085 (0.1205) loss_contra: 0.0040 (0.0141) time: 3.0227 data: 0.0062 max mem: 31630 Epoch: [7] [3070/5278] eta: 1:51:31 lr: 4.138332928115952e-05 loss: 0.1314 (0.1422) loss_seg: 0.1296 (0.1408) loss_lansim: 0.1074 (0.1205) loss_contra: 0.0038 (0.0142) time: 3.0196 data: 0.0061 max mem: 31630 Epoch: [7] [3080/5278] eta: 1:51:01 lr: 4.138115251598338e-05 loss: 0.1284 (0.1422) loss_seg: 0.1274 (0.1408) loss_lansim: 0.1058 (0.1204) loss_contra: 0.0040 (0.0142) time: 3.0218 data: 0.0062 max mem: 31630 Epoch: [7] [3090/5278] eta: 1:50:31 lr: 4.13789757380845e-05 loss: 0.1256 (0.1421) loss_seg: 0.1244 (0.1408) loss_lansim: 0.1044 (0.1203) loss_contra: 0.0040 (0.0142) time: 3.0235 data: 0.0062 max mem: 31630 Epoch: [7] [3100/5278] eta: 1:50:00 lr: 4.137679894746207e-05 loss: 0.1257 (0.1422) loss_seg: 0.1246 (0.1408) loss_lansim: 0.1033 (0.1203) loss_contra: 0.0046 (0.0143) time: 3.0181 data: 0.0063 max mem: 31630 Epoch: [7] [3110/5278] eta: 1:49:30 lr: 4.137462214411525e-05 loss: 0.1256 (0.1422) loss_seg: 0.1244 (0.1408) loss_lansim: 0.1033 (0.1203) loss_contra: 0.0046 (0.0144) time: 3.0229 data: 0.0063 max mem: 31630 Epoch: [7] [3120/5278] eta: 1:48:59 lr: 4.137244532804325e-05 loss: 0.1315 (0.1422) loss_seg: 0.1304 (0.1409) loss_lansim: 0.1032 (0.1202) loss_contra: 0.0045 (0.0144) time: 3.0227 data: 0.0063 max mem: 31630 Epoch: [7] [3130/5278] eta: 1:48:29 lr: 4.1370268499245236e-05 loss: 0.1334 (0.1422) loss_seg: 0.1324 (0.1409) loss_lansim: 0.1033 (0.1202) loss_contra: 0.0046 (0.0144) time: 3.0176 data: 0.0063 max mem: 31630 Epoch: [7] [3140/5278] eta: 1:47:59 lr: 4.1368091657720396e-05 loss: 0.1328 (0.1422) loss_seg: 0.1305 (0.1409) loss_lansim: 0.1035 (0.1202) loss_contra: 0.0047 (0.0144) time: 3.0222 data: 0.0063 max mem: 31630 Epoch: [7] [3150/5278] eta: 1:47:28 lr: 4.1365914803467896e-05 loss: 0.1315 (0.1422) loss_seg: 0.1304 (0.1408) loss_lansim: 0.1047 (0.1202) loss_contra: 0.0047 (0.0144) time: 3.0176 data: 0.0064 max mem: 31630 Epoch: [7] [3160/5278] eta: 1:46:58 lr: 4.136373793648694e-05 loss: 0.1284 (0.1421) loss_seg: 0.1273 (0.1408) loss_lansim: 0.1057 (0.1201) loss_contra: 0.0054 (0.0144) time: 3.0222 data: 0.0064 max mem: 31630 Epoch: [7] [3170/5278] eta: 1:46:28 lr: 4.136156105677669e-05 loss: 0.1265 (0.1421) loss_seg: 0.1255 (0.1408) loss_lansim: 0.1067 (0.1201) loss_contra: 0.0054 (0.0144) time: 3.0230 data: 0.0064 max mem: 31630 Epoch: [7] [3180/5278] eta: 1:45:58 lr: 4.135938416433634e-05 loss: 0.1289 (0.1423) loss_seg: 0.1279 (0.1409) loss_lansim: 0.1081 (0.1201) loss_contra: 0.0046 (0.0144) time: 3.0266 data: 0.0064 max mem: 31630 Epoch: [7] [3190/5278] eta: 1:45:28 lr: 4.135720725916506e-05 loss: 0.1302 (0.1422) loss_seg: 0.1291 (0.1409) loss_lansim: 0.1099 (0.1201) loss_contra: 0.0043 (0.0144) time: 3.0381 data: 0.0065 max mem: 31630 Epoch: [7] [3200/5278] eta: 1:44:58 lr: 4.135503034126205e-05 loss: 0.1302 (0.1422) loss_seg: 0.1291 (0.1409) loss_lansim: 0.1106 (0.1201) loss_contra: 0.0032 (0.0143) time: 3.0455 data: 0.0065 max mem: 31630 Epoch: [7] [3210/5278] eta: 1:44:28 lr: 4.135285341062647e-05 loss: 0.1289 (0.1422) loss_seg: 0.1279 (0.1409) loss_lansim: 0.1117 (0.1200) loss_contra: 0.0031 (0.0143) time: 3.0542 data: 0.0066 max mem: 31630 Epoch: [7] [3220/5278] eta: 1:43:59 lr: 4.1350676467257504e-05 loss: 0.1284 (0.1422) loss_seg: 0.1273 (0.1408) loss_lansim: 0.1121 (0.1200) loss_contra: 0.0032 (0.0143) time: 3.0691 data: 0.0066 max mem: 31630 Epoch: [7] [3230/5278] eta: 1:43:29 lr: 4.134849951115434e-05 loss: 0.1302 (0.1422) loss_seg: 0.1291 (0.1409) loss_lansim: 0.1105 (0.1200) loss_contra: 0.0034 (0.0143) time: 3.0771 data: 0.0066 max mem: 31630 Epoch: [7] [3240/5278] eta: 1:42:59 lr: 4.1346322542316166e-05 loss: 0.1326 (0.1422) loss_seg: 0.1314 (0.1409) loss_lansim: 0.1121 (0.1200) loss_contra: 0.0031 (0.0143) time: 3.0862 data: 0.0066 max mem: 31630 Epoch: [7] [3250/5278] eta: 1:42:29 lr: 4.1344145560742146e-05 loss: 0.1322 (0.1422) loss_seg: 0.1310 (0.1408) loss_lansim: 0.1117 (0.1199) loss_contra: 0.0026 (0.0143) time: 3.0883 data: 0.0066 max mem: 31630 Epoch: [7] [3260/5278] eta: 1:41:59 lr: 4.134196856643147e-05 loss: 0.1332 (0.1422) loss_seg: 0.1321 (0.1408) loss_lansim: 0.1117 (0.1199) loss_contra: 0.0026 (0.0142) time: 3.0882 data: 0.0066 max mem: 31630 Epoch: [7] [3270/5278] eta: 1:41:28 lr: 4.133979155938332e-05 loss: 0.1322 (0.1421) loss_seg: 0.1310 (0.1408) loss_lansim: 0.1102 (0.1199) loss_contra: 0.0021 (0.0142) time: 3.0859 data: 0.0066 max mem: 31630 Epoch: [7] [3280/5278] eta: 1:40:58 lr: 4.133761453959686e-05 loss: 0.1326 (0.1423) loss_seg: 0.1314 (0.1409) loss_lansim: 0.1097 (0.1198) loss_contra: 0.0018 (0.0142) time: 3.0886 data: 0.0065 max mem: 31630 Epoch: [7] [3290/5278] eta: 1:40:28 lr: 4.1335437507071285e-05 loss: 0.1322 (0.1422) loss_seg: 0.1310 (0.1409) loss_lansim: 0.1095 (0.1198) loss_contra: 0.0015 (0.0142) time: 3.0796 data: 0.0064 max mem: 31630 Epoch: [7] [3300/5278] eta: 1:39:57 lr: 4.1333260461805775e-05 loss: 0.1294 (0.1423) loss_seg: 0.1286 (0.1409) loss_lansim: 0.1082 (0.1197) loss_contra: 0.0015 (0.0142) time: 3.0709 data: 0.0063 max mem: 31630 Epoch: [7] [3310/5278] eta: 1:39:27 lr: 4.1331083403799507e-05 loss: 0.1351 (0.1423) loss_seg: 0.1336 (0.1409) loss_lansim: 0.1066 (0.1197) loss_contra: 0.0018 (0.0142) time: 3.0644 data: 0.0063 max mem: 31630 Epoch: [7] [3320/5278] eta: 1:38:57 lr: 4.1328906333051654e-05 loss: 0.1355 (0.1423) loss_seg: 0.1346 (0.1409) loss_lansim: 0.1067 (0.1197) loss_contra: 0.0019 (0.0142) time: 3.0538 data: 0.0063 max mem: 31630 Epoch: [7] [3330/5278] eta: 1:38:27 lr: 4.132672924956141e-05 loss: 0.1355 (0.1423) loss_seg: 0.1346 (0.1410) loss_lansim: 0.1055 (0.1196) loss_contra: 0.0018 (0.0142) time: 3.0467 data: 0.0063 max mem: 31630 Epoch: [7] [3340/5278] eta: 1:37:56 lr: 4.132455215332794e-05 loss: 0.1355 (0.1424) loss_seg: 0.1346 (0.1410) loss_lansim: 0.1041 (0.1196) loss_contra: 0.0018 (0.0142) time: 3.0346 data: 0.0063 max mem: 31630 Epoch: [7] [3350/5278] eta: 1:37:26 lr: 4.132237504435043e-05 loss: 0.1358 (0.1423) loss_seg: 0.1348 (0.1410) loss_lansim: 0.1047 (0.1196) loss_contra: 0.0022 (0.0142) time: 3.0367 data: 0.0063 max mem: 31630 Epoch: [7] [3360/5278] eta: 1:36:55 lr: 4.132019792262806e-05 loss: 0.1358 (0.1422) loss_seg: 0.1348 (0.1409) loss_lansim: 0.1050 (0.1195) loss_contra: 0.0018 (0.0141) time: 3.0332 data: 0.0064 max mem: 31630 Epoch: [7] [3370/5278] eta: 1:36:25 lr: 4.131802078816001e-05 loss: 0.1358 (0.1423) loss_seg: 0.1348 (0.1410) loss_lansim: 0.1056 (0.1195) loss_contra: 0.0022 (0.0141) time: 3.0341 data: 0.0063 max mem: 31630 Epoch: [7] [3380/5278] eta: 1:35:55 lr: 4.131584364094545e-05 loss: 0.1302 (0.1422) loss_seg: 0.1292 (0.1409) loss_lansim: 0.1058 (0.1195) loss_contra: 0.0021 (0.0141) time: 3.0320 data: 0.0063 max mem: 31630 Epoch: [7] [3390/5278] eta: 1:35:24 lr: 4.1313666480983584e-05 loss: 0.1315 (0.1422) loss_seg: 0.1303 (0.1409) loss_lansim: 0.1072 (0.1195) loss_contra: 0.0022 (0.0141) time: 3.0272 data: 0.0064 max mem: 31630 Epoch: [7] [3400/5278] eta: 1:34:54 lr: 4.1311489308273564e-05 loss: 0.1331 (0.1423) loss_seg: 0.1317 (0.1410) loss_lansim: 0.1072 (0.1194) loss_contra: 0.0023 (0.0141) time: 3.0309 data: 0.0063 max mem: 31630 Epoch: [7] [3410/5278] eta: 1:34:24 lr: 4.1309312122814574e-05 loss: 0.1315 (0.1422) loss_seg: 0.1303 (0.1409) loss_lansim: 0.1072 (0.1194) loss_contra: 0.0021 (0.0140) time: 3.0317 data: 0.0063 max mem: 31630 Epoch: [7] [3420/5278] eta: 1:33:53 lr: 4.13071349246058e-05 loss: 0.1248 (0.1422) loss_seg: 0.1237 (0.1409) loss_lansim: 0.1076 (0.1194) loss_contra: 0.0017 (0.0140) time: 3.0239 data: 0.0062 max mem: 31630 Epoch: [7] [3430/5278] eta: 1:33:23 lr: 4.130495771364643e-05 loss: 0.1231 (0.1422) loss_seg: 0.1220 (0.1409) loss_lansim: 0.1086 (0.1194) loss_contra: 0.0017 (0.0140) time: 3.0248 data: 0.0062 max mem: 31630 Epoch: [7] [3440/5278] eta: 1:32:53 lr: 4.130278048993562e-05 loss: 0.1228 (0.1422) loss_seg: 0.1216 (0.1409) loss_lansim: 0.1090 (0.1193) loss_contra: 0.0017 (0.0140) time: 3.0289 data: 0.0062 max mem: 31630 Epoch: [7] [3450/5278] eta: 1:32:22 lr: 4.130060325347255e-05 loss: 0.1228 (0.1422) loss_seg: 0.1219 (0.1409) loss_lansim: 0.1092 (0.1193) loss_contra: 0.0010 (0.0140) time: 3.0248 data: 0.0061 max mem: 31630 Epoch: [7] [3460/5278] eta: 1:31:53 lr: 4.129842600425642e-05 loss: 0.1231 (0.1422) loss_seg: 0.1220 (0.1408) loss_lansim: 0.1092 (0.1193) loss_contra: 0.0020 (0.0140) time: 3.0371 data: 0.0062 max mem: 31630 Epoch: [7] [3470/5278] eta: 1:31:22 lr: 4.1296248742286384e-05 loss: 0.1228 (0.1421) loss_seg: 0.1219 (0.1408) loss_lansim: 0.1092 (0.1193) loss_contra: 0.0020 (0.0141) time: 3.0414 data: 0.0062 max mem: 31630 Epoch: [7] [3480/5278] eta: 1:30:52 lr: 4.129407146756165e-05 loss: 0.1233 (0.1421) loss_seg: 0.1220 (0.1408) loss_lansim: 0.1091 (0.1192) loss_contra: 0.0024 (0.0141) time: 3.0391 data: 0.0063 max mem: 31630 Epoch: [7] [3490/5278] eta: 1:30:22 lr: 4.129189418008137e-05 loss: 0.1228 (0.1421) loss_seg: 0.1219 (0.1407) loss_lansim: 0.1091 (0.1192) loss_contra: 0.0026 (0.0141) time: 3.0471 data: 0.0063 max mem: 31630 Epoch: [7] [3500/5278] eta: 1:29:51 lr: 4.1289716879844716e-05 loss: 0.1222 (0.1421) loss_seg: 0.1212 (0.1407) loss_lansim: 0.1100 (0.1192) loss_contra: 0.0028 (0.0141) time: 3.0396 data: 0.0063 max mem: 31630 Epoch: [7] [3510/5278] eta: 1:29:21 lr: 4.128753956685089e-05 loss: 0.1240 (0.1421) loss_seg: 0.1229 (0.1408) loss_lansim: 0.1095 (0.1192) loss_contra: 0.0032 (0.0141) time: 3.0428 data: 0.0064 max mem: 31630 Epoch: [7] [3520/5278] eta: 1:28:52 lr: 4.128536224109906e-05 loss: 0.1263 (0.1421) loss_seg: 0.1251 (0.1407) loss_lansim: 0.1091 (0.1191) loss_contra: 0.0033 (0.0143) time: 3.0743 data: 0.0064 max mem: 31630 Epoch: [7] [3530/5278] eta: 1:28:22 lr: 4.12831849025884e-05 loss: 0.1275 (0.1421) loss_seg: 0.1263 (0.1408) loss_lansim: 0.1099 (0.1191) loss_contra: 0.0030 (0.0143) time: 3.0820 data: 0.0065 max mem: 31630 Epoch: [7] [3540/5278] eta: 1:27:52 lr: 4.12810075513181e-05 loss: 0.1296 (0.1421) loss_seg: 0.1281 (0.1408) loss_lansim: 0.1112 (0.1191) loss_contra: 0.0028 (0.0143) time: 3.0945 data: 0.0065 max mem: 31630 Epoch: [7] [3550/5278] eta: 1:27:22 lr: 4.127883018728732e-05 loss: 0.1296 (0.1422) loss_seg: 0.1281 (0.1408) loss_lansim: 0.1123 (0.1191) loss_contra: 0.0032 (0.0144) time: 3.0984 data: 0.0066 max mem: 31630 Epoch: [7] [3560/5278] eta: 1:26:52 lr: 4.1276652810495245e-05 loss: 0.1318 (0.1421) loss_seg: 0.1304 (0.1408) loss_lansim: 0.1123 (0.1191) loss_contra: 0.0028 (0.0144) time: 3.0890 data: 0.0065 max mem: 31630 Epoch: [7] [3570/5278] eta: 1:26:22 lr: 4.127447542094105e-05 loss: 0.1355 (0.1422) loss_seg: 0.1344 (0.1408) loss_lansim: 0.1129 (0.1191) loss_contra: 0.0028 (0.0144) time: 3.0876 data: 0.0065 max mem: 31630 Epoch: [7] [3580/5278] eta: 1:25:51 lr: 4.127229801862391e-05 loss: 0.1355 (0.1421) loss_seg: 0.1344 (0.1408) loss_lansim: 0.1138 (0.1191) loss_contra: 0.0030 (0.0146) time: 3.0851 data: 0.0064 max mem: 31630 Epoch: [7] [3590/5278] eta: 1:25:20 lr: 4.127012060354302e-05 loss: 0.1375 (0.1421) loss_seg: 0.1364 (0.1407) loss_lansim: 0.1140 (0.1191) loss_contra: 0.0033 (0.0146) time: 3.0706 data: 0.0064 max mem: 31630 Epoch: [7] [3600/5278] eta: 1:24:50 lr: 4.126794317569753e-05 loss: 0.1375 (0.1421) loss_seg: 0.1364 (0.1407) loss_lansim: 0.1142 (0.1191) loss_contra: 0.0030 (0.0146) time: 3.0746 data: 0.0063 max mem: 31630 Epoch: [7] [3610/5278] eta: 1:24:19 lr: 4.1265765735086645e-05 loss: 0.1384 (0.1421) loss_seg: 0.1372 (0.1408) loss_lansim: 0.1142 (0.1191) loss_contra: 0.0038 (0.0146) time: 3.0621 data: 0.0063 max mem: 31630 Epoch: [7] [3620/5278] eta: 1:23:49 lr: 4.1263588281709514e-05 loss: 0.1384 (0.1421) loss_seg: 0.1372 (0.1408) loss_lansim: 0.1139 (0.1190) loss_contra: 0.0043 (0.0146) time: 3.0295 data: 0.0063 max mem: 31630 Epoch: [7] [3630/5278] eta: 1:23:18 lr: 4.126141081556533e-05 loss: 0.1355 (0.1421) loss_seg: 0.1344 (0.1407) loss_lansim: 0.1136 (0.1190) loss_contra: 0.0038 (0.0146) time: 3.0123 data: 0.0062 max mem: 31630 Epoch: [7] [3640/5278] eta: 1:22:47 lr: 4.1259233336653275e-05 loss: 0.1292 (0.1421) loss_seg: 0.1279 (0.1407) loss_lansim: 0.1123 (0.1189) loss_contra: 0.0031 (0.0146) time: 2.9986 data: 0.0061 max mem: 31630 Epoch: [7] [3650/5278] eta: 1:22:17 lr: 4.125705584497251e-05 loss: 0.1281 (0.1420) loss_seg: 0.1269 (0.1407) loss_lansim: 0.1104 (0.1189) loss_contra: 0.0030 (0.0146) time: 2.9853 data: 0.0060 max mem: 31630 Epoch: [7] [3660/5278] eta: 1:21:46 lr: 4.125487834052221e-05 loss: 0.1384 (0.1420) loss_seg: 0.1372 (0.1407) loss_lansim: 0.1096 (0.1189) loss_contra: 0.0031 (0.0146) time: 2.9846 data: 0.0060 max mem: 31630 Epoch: [7] [3670/5278] eta: 1:21:16 lr: 4.125270082330157e-05 loss: 0.1337 (0.1420) loss_seg: 0.1326 (0.1406) loss_lansim: 0.1085 (0.1188) loss_contra: 0.0031 (0.0146) time: 2.9864 data: 0.0060 max mem: 31630 Epoch: [7] [3680/5278] eta: 1:20:46 lr: 4.125052329330975e-05 loss: 0.1420 (0.1421) loss_seg: 0.1409 (0.1407) loss_lansim: 0.1074 (0.1188) loss_contra: 0.0024 (0.0146) time: 2.9826 data: 0.0059 max mem: 31630 Epoch: [7] [3690/5278] eta: 1:20:15 lr: 4.124834575054594e-05 loss: 0.1432 (0.1421) loss_seg: 0.1414 (0.1408) loss_lansim: 0.1058 (0.1188) loss_contra: 0.0021 (0.0146) time: 2.9957 data: 0.0060 max mem: 31630 Epoch: [7] [3700/5278] eta: 1:19:45 lr: 4.1246168195009296e-05 loss: 0.1432 (0.1421) loss_seg: 0.1414 (0.1407) loss_lansim: 0.1048 (0.1187) loss_contra: 0.0018 (0.0146) time: 2.9961 data: 0.0060 max mem: 31630 Epoch: [7] [3710/5278] eta: 1:19:15 lr: 4.124399062669901e-05 loss: 0.1465 (0.1421) loss_seg: 0.1443 (0.1408) loss_lansim: 0.1050 (0.1187) loss_contra: 0.0017 (0.0147) time: 3.0014 data: 0.0060 max mem: 31630 Epoch: [7] [3720/5278] eta: 1:18:44 lr: 4.124181304561425e-05 loss: 0.1420 (0.1421) loss_seg: 0.1409 (0.1407) loss_lansim: 0.1070 (0.1187) loss_contra: 0.0013 (0.0147) time: 3.0113 data: 0.0060 max mem: 31630 Epoch: [7] [3730/5278] eta: 1:18:14 lr: 4.12396354517542e-05 loss: 0.1420 (0.1421) loss_seg: 0.1409 (0.1407) loss_lansim: 0.1063 (0.1187) loss_contra: 0.0017 (0.0147) time: 3.0182 data: 0.0060 max mem: 31630 Epoch: [7] [3740/5278] eta: 1:17:44 lr: 4.1237457845118024e-05 loss: 0.1414 (0.1421) loss_seg: 0.1402 (0.1408) loss_lansim: 0.1070 (0.1187) loss_contra: 0.0017 (0.0147) time: 3.0182 data: 0.0060 max mem: 31630 Epoch: [7] [3750/5278] eta: 1:17:13 lr: 4.1235280225704905e-05 loss: 0.1414 (0.1421) loss_seg: 0.1402 (0.1408) loss_lansim: 0.1074 (0.1186) loss_contra: 0.0017 (0.0146) time: 3.0269 data: 0.0060 max mem: 31630 Epoch: [7] [3760/5278] eta: 1:16:43 lr: 4.1233102593514016e-05 loss: 0.1414 (0.1422) loss_seg: 0.1402 (0.1409) loss_lansim: 0.1074 (0.1186) loss_contra: 0.0017 (0.0146) time: 3.0278 data: 0.0060 max mem: 31630 Epoch: [7] [3770/5278] eta: 1:16:12 lr: 4.1230924948544544e-05 loss: 0.1408 (0.1422) loss_seg: 0.1397 (0.1408) loss_lansim: 0.1070 (0.1186) loss_contra: 0.0017 (0.0147) time: 3.0226 data: 0.0060 max mem: 31630 Epoch: [7] [3780/5278] eta: 1:15:42 lr: 4.1228747290795636e-05 loss: 0.1352 (0.1422) loss_seg: 0.1342 (0.1408) loss_lansim: 0.1068 (0.1185) loss_contra: 0.0019 (0.0147) time: 3.0264 data: 0.0060 max mem: 31630 Epoch: [7] [3790/5278] eta: 1:15:12 lr: 4.122656962026649e-05 loss: 0.1341 (0.1421) loss_seg: 0.1331 (0.1408) loss_lansim: 0.1055 (0.1185) loss_contra: 0.0021 (0.0147) time: 3.0241 data: 0.0061 max mem: 31630 Epoch: [7] [3800/5278] eta: 1:14:41 lr: 4.1224391936956276e-05 loss: 0.1340 (0.1420) loss_seg: 0.1328 (0.1407) loss_lansim: 0.1063 (0.1185) loss_contra: 0.0021 (0.0147) time: 3.0277 data: 0.0060 max mem: 31630 Epoch: [7] [3810/5278] eta: 1:14:11 lr: 4.1222214240864164e-05 loss: 0.1264 (0.1420) loss_seg: 0.1253 (0.1407) loss_lansim: 0.1055 (0.1184) loss_contra: 0.0019 (0.0147) time: 3.0287 data: 0.0061 max mem: 31630 Epoch: [7] [3820/5278] eta: 1:13:41 lr: 4.122003653198934e-05 loss: 0.1298 (0.1420) loss_seg: 0.1286 (0.1407) loss_lansim: 0.1031 (0.1184) loss_contra: 0.0020 (0.0146) time: 3.0283 data: 0.0061 max mem: 31630 Epoch: [7] [3830/5278] eta: 1:13:11 lr: 4.1217858810330965e-05 loss: 0.1256 (0.1420) loss_seg: 0.1246 (0.1407) loss_lansim: 0.1028 (0.1183) loss_contra: 0.0020 (0.0146) time: 3.0291 data: 0.0061 max mem: 31630 Epoch: [7] [3840/5278] eta: 1:12:40 lr: 4.1215681075888217e-05 loss: 0.1288 (0.1421) loss_seg: 0.1278 (0.1407) loss_lansim: 0.1027 (0.1183) loss_contra: 0.0020 (0.0146) time: 3.0356 data: 0.0062 max mem: 31630 Epoch: [7] [3850/5278] eta: 1:12:10 lr: 4.121350332866028e-05 loss: 0.1288 (0.1421) loss_seg: 0.1278 (0.1408) loss_lansim: 0.1024 (0.1183) loss_contra: 0.0020 (0.0146) time: 3.0417 data: 0.0062 max mem: 31630 Epoch: [7] [3860/5278] eta: 1:11:40 lr: 4.121132556864632e-05 loss: 0.1287 (0.1421) loss_seg: 0.1278 (0.1407) loss_lansim: 0.1022 (0.1182) loss_contra: 0.0020 (0.0146) time: 3.0494 data: 0.0062 max mem: 31630 Epoch: [7] [3870/5278] eta: 1:11:10 lr: 4.1209147795845506e-05 loss: 0.1311 (0.1421) loss_seg: 0.1303 (0.1408) loss_lansim: 0.1025 (0.1182) loss_contra: 0.0020 (0.0145) time: 3.0658 data: 0.0062 max mem: 31630 Epoch: [7] [3880/5278] eta: 1:10:40 lr: 4.1206970010257025e-05 loss: 0.1325 (0.1422) loss_seg: 0.1313 (0.1408) loss_lansim: 0.1021 (0.1181) loss_contra: 0.0018 (0.0145) time: 3.0726 data: 0.0062 max mem: 31630 Epoch: [7] [3890/5278] eta: 1:10:10 lr: 4.1204792211880034e-05 loss: 0.1322 (0.1421) loss_seg: 0.1310 (0.1408) loss_lansim: 0.1014 (0.1181) loss_contra: 0.0018 (0.0145) time: 3.0848 data: 0.0062 max mem: 31630 Epoch: [7] [3900/5278] eta: 1:09:40 lr: 4.120261440071373e-05 loss: 0.1337 (0.1422) loss_seg: 0.1328 (0.1409) loss_lansim: 0.1006 (0.1180) loss_contra: 0.0018 (0.0145) time: 3.0853 data: 0.0062 max mem: 31630 Epoch: [7] [3910/5278] eta: 1:09:10 lr: 4.120043657675727e-05 loss: 0.1356 (0.1422) loss_seg: 0.1346 (0.1409) loss_lansim: 0.0994 (0.1180) loss_contra: 0.0020 (0.0145) time: 3.0847 data: 0.0061 max mem: 31630 Epoch: [7] [3920/5278] eta: 1:08:39 lr: 4.1198258740009826e-05 loss: 0.1344 (0.1422) loss_seg: 0.1334 (0.1409) loss_lansim: 0.1003 (0.1179) loss_contra: 0.0021 (0.0145) time: 3.0807 data: 0.0061 max mem: 31630 Epoch: [7] [3930/5278] eta: 1:08:09 lr: 4.119608089047058e-05 loss: 0.1427 (0.1423) loss_seg: 0.1415 (0.1410) loss_lansim: 0.0997 (0.1179) loss_contra: 0.0018 (0.0145) time: 3.0765 data: 0.0061 max mem: 31630 Epoch: [7] [3940/5278] eta: 1:07:38 lr: 4.1193903028138706e-05 loss: 0.1448 (0.1423) loss_seg: 0.1438 (0.1410) loss_lansim: 0.0992 (0.1178) loss_contra: 0.0023 (0.0145) time: 3.0727 data: 0.0061 max mem: 31630 Epoch: [7] [3950/5278] eta: 1:07:08 lr: 4.1191725153013374e-05 loss: 0.1443 (0.1424) loss_seg: 0.1433 (0.1410) loss_lansim: 0.1009 (0.1178) loss_contra: 0.0022 (0.0146) time: 3.0676 data: 0.0060 max mem: 31630 Epoch: [7] [3960/5278] eta: 1:06:38 lr: 4.1189547265093744e-05 loss: 0.1443 (0.1424) loss_seg: 0.1433 (0.1411) loss_lansim: 0.1028 (0.1178) loss_contra: 0.0022 (0.0146) time: 3.0515 data: 0.0060 max mem: 31630 Epoch: [7] [3970/5278] eta: 1:06:07 lr: 4.118736936437902e-05 loss: 0.1427 (0.1425) loss_seg: 0.1415 (0.1411) loss_lansim: 0.1028 (0.1178) loss_contra: 0.0022 (0.0146) time: 3.0412 data: 0.0060 max mem: 31630 Epoch: [7] [3980/5278] eta: 1:05:37 lr: 4.1185191450868355e-05 loss: 0.1407 (0.1425) loss_seg: 0.1393 (0.1411) loss_lansim: 0.1040 (0.1178) loss_contra: 0.0023 (0.0146) time: 3.0400 data: 0.0060 max mem: 31630 Epoch: [7] [3990/5278] eta: 1:05:07 lr: 4.1183013524560915e-05 loss: 0.1384 (0.1424) loss_seg: 0.1372 (0.1411) loss_lansim: 0.1054 (0.1178) loss_contra: 0.0023 (0.0146) time: 3.0284 data: 0.0060 max mem: 31630 Epoch: [7] [4000/5278] eta: 1:04:36 lr: 4.118083558545589e-05 loss: 0.1369 (0.1424) loss_seg: 0.1357 (0.1411) loss_lansim: 0.1092 (0.1178) loss_contra: 0.0026 (0.0146) time: 3.0201 data: 0.0060 max mem: 31630 Epoch: [7] [4010/5278] eta: 1:04:06 lr: 4.1178657633552443e-05 loss: 0.1357 (0.1424) loss_seg: 0.1345 (0.1411) loss_lansim: 0.1099 (0.1178) loss_contra: 0.0025 (0.0146) time: 3.0225 data: 0.0060 max mem: 31630 Epoch: [7] [4020/5278] eta: 1:03:36 lr: 4.1176479668849745e-05 loss: 0.1412 (0.1425) loss_seg: 0.1400 (0.1412) loss_lansim: 0.1111 (0.1178) loss_contra: 0.0026 (0.0146) time: 3.0247 data: 0.0060 max mem: 31630 Epoch: [7] [4030/5278] eta: 1:03:05 lr: 4.1174301691346976e-05 loss: 0.1357 (0.1425) loss_seg: 0.1345 (0.1412) loss_lansim: 0.1129 (0.1178) loss_contra: 0.0026 (0.0146) time: 3.0286 data: 0.0060 max mem: 31630 Epoch: [7] [4040/5278] eta: 1:02:35 lr: 4.117212370104331e-05 loss: 0.1369 (0.1425) loss_seg: 0.1357 (0.1412) loss_lansim: 0.1155 (0.1178) loss_contra: 0.0024 (0.0146) time: 3.0291 data: 0.0060 max mem: 31630 Epoch: [7] [4050/5278] eta: 1:02:05 lr: 4.1169945697937906e-05 loss: 0.1357 (0.1425) loss_seg: 0.1345 (0.1412) loss_lansim: 0.1160 (0.1178) loss_contra: 0.0026 (0.0146) time: 3.0261 data: 0.0060 max mem: 31630 Epoch: [7] [4060/5278] eta: 1:01:34 lr: 4.116776768202995e-05 loss: 0.1412 (0.1426) loss_seg: 0.1400 (0.1412) loss_lansim: 0.1169 (0.1178) loss_contra: 0.0025 (0.0146) time: 3.0317 data: 0.0060 max mem: 31630 Epoch: [7] [4070/5278] eta: 1:01:04 lr: 4.11655896533186e-05 loss: 0.1356 (0.1425) loss_seg: 0.1343 (0.1412) loss_lansim: 0.1171 (0.1178) loss_contra: 0.0026 (0.0146) time: 3.0292 data: 0.0060 max mem: 31630 Epoch: [7] [4080/5278] eta: 1:00:33 lr: 4.1163411611803044e-05 loss: 0.1346 (0.1425) loss_seg: 0.1336 (0.1412) loss_lansim: 0.1174 (0.1178) loss_contra: 0.0033 (0.0146) time: 3.0195 data: 0.0060 max mem: 31630 Epoch: [7] [4090/5278] eta: 1:00:03 lr: 4.1161233557482444e-05 loss: 0.1405 (0.1425) loss_seg: 0.1395 (0.1412) loss_lansim: 0.1174 (0.1178) loss_contra: 0.0028 (0.0146) time: 3.0102 data: 0.0061 max mem: 31630 Epoch: [7] [4100/5278] eta: 0:59:32 lr: 4.115905549035597e-05 loss: 0.1421 (0.1425) loss_seg: 0.1409 (0.1412) loss_lansim: 0.1175 (0.1179) loss_contra: 0.0028 (0.0146) time: 3.0079 data: 0.0062 max mem: 31630 Epoch: [7] [4110/5278] eta: 0:59:02 lr: 4.115687741042281e-05 loss: 0.1442 (0.1425) loss_seg: 0.1430 (0.1412) loss_lansim: 0.1200 (0.1179) loss_contra: 0.0033 (0.0146) time: 2.9968 data: 0.0062 max mem: 31630 Epoch: [7] [4120/5278] eta: 0:58:31 lr: 4.115469931768212e-05 loss: 0.1421 (0.1426) loss_seg: 0.1409 (0.1413) loss_lansim: 0.1202 (0.1179) loss_contra: 0.0032 (0.0146) time: 2.9863 data: 0.0062 max mem: 31630 Epoch: [7] [4130/5278] eta: 0:58:01 lr: 4.1152521212133066e-05 loss: 0.1418 (0.1426) loss_seg: 0.1402 (0.1412) loss_lansim: 0.1226 (0.1179) loss_contra: 0.0026 (0.0146) time: 2.9837 data: 0.0063 max mem: 31630 Epoch: [7] [4140/5278] eta: 0:57:30 lr: 4.115034309377484e-05 loss: 0.1388 (0.1425) loss_seg: 0.1361 (0.1412) loss_lansim: 0.1228 (0.1180) loss_contra: 0.0026 (0.0146) time: 2.9755 data: 0.0064 max mem: 31630 Epoch: [7] [4150/5278] eta: 0:57:00 lr: 4.1148164962606603e-05 loss: 0.1346 (0.1425) loss_seg: 0.1332 (0.1412) loss_lansim: 0.1236 (0.1180) loss_contra: 0.0024 (0.0146) time: 2.9727 data: 0.0064 max mem: 31630 Epoch: [7] [4160/5278] eta: 0:56:29 lr: 4.114598681862751e-05 loss: 0.1320 (0.1425) loss_seg: 0.1303 (0.1412) loss_lansim: 0.1245 (0.1181) loss_contra: 0.0025 (0.0146) time: 2.9675 data: 0.0065 max mem: 31630 Epoch: [7] [4170/5278] eta: 0:55:59 lr: 4.1143808661836755e-05 loss: 0.1346 (0.1424) loss_seg: 0.1330 (0.1411) loss_lansim: 0.1261 (0.1181) loss_contra: 0.0021 (0.0146) time: 2.9677 data: 0.0066 max mem: 31630 Epoch: [7] [4180/5278] eta: 0:55:28 lr: 4.114163049223351e-05 loss: 0.1346 (0.1424) loss_seg: 0.1330 (0.1411) loss_lansim: 0.1273 (0.1181) loss_contra: 0.0018 (0.0146) time: 2.9745 data: 0.0066 max mem: 31630 Epoch: [7] [4190/5278] eta: 0:54:58 lr: 4.113945230981693e-05 loss: 0.1365 (0.1424) loss_seg: 0.1353 (0.1411) loss_lansim: 0.1278 (0.1182) loss_contra: 0.0017 (0.0145) time: 2.9841 data: 0.0066 max mem: 31630 Epoch: [7] [4200/5278] eta: 0:54:28 lr: 4.1137274114586196e-05 loss: 0.1340 (0.1424) loss_seg: 0.1330 (0.1411) loss_lansim: 0.1280 (0.1182) loss_contra: 0.0014 (0.0146) time: 2.9935 data: 0.0066 max mem: 31630 Epoch: [7] [4210/5278] eta: 0:53:58 lr: 4.1135095906540466e-05 loss: 0.1351 (0.1425) loss_seg: 0.1335 (0.1412) loss_lansim: 0.1326 (0.1183) loss_contra: 0.0011 (0.0145) time: 3.0078 data: 0.0066 max mem: 31630 Epoch: [7] [4220/5278] eta: 0:53:28 lr: 4.113291768567893e-05 loss: 0.1340 (0.1425) loss_seg: 0.1330 (0.1412) loss_lansim: 0.1337 (0.1183) loss_contra: 0.0011 (0.0145) time: 3.0244 data: 0.0066 max mem: 31630 Epoch: [7] [4230/5278] eta: 0:52:57 lr: 4.1130739452000744e-05 loss: 0.1338 (0.1426) loss_seg: 0.1324 (0.1412) loss_lansim: 0.1337 (0.1183) loss_contra: 0.0016 (0.0145) time: 3.0369 data: 0.0065 max mem: 31630 Epoch: [7] [4240/5278] eta: 0:52:27 lr: 4.112856120550509e-05 loss: 0.1351 (0.1426) loss_seg: 0.1335 (0.1412) loss_lansim: 0.1330 (0.1184) loss_contra: 0.0017 (0.0145) time: 3.0362 data: 0.0064 max mem: 31630 Epoch: [7] [4250/5278] eta: 0:51:56 lr: 4.112638294619113e-05 loss: 0.1358 (0.1426) loss_seg: 0.1345 (0.1413) loss_lansim: 0.1327 (0.1184) loss_contra: 0.0019 (0.0145) time: 3.0266 data: 0.0064 max mem: 31630 Epoch: [7] [4260/5278] eta: 0:51:26 lr: 4.112420467405803e-05 loss: 0.1394 (0.1426) loss_seg: 0.1380 (0.1413) loss_lansim: 0.1312 (0.1184) loss_contra: 0.0019 (0.0145) time: 3.0235 data: 0.0063 max mem: 31630 Epoch: [7] [4270/5278] eta: 0:50:55 lr: 4.1122026389104976e-05 loss: 0.1393 (0.1426) loss_seg: 0.1378 (0.1412) loss_lansim: 0.1312 (0.1184) loss_contra: 0.0022 (0.0145) time: 3.0150 data: 0.0062 max mem: 31630 Epoch: [7] [4280/5278] eta: 0:50:25 lr: 4.111984809133112e-05 loss: 0.1379 (0.1425) loss_seg: 0.1365 (0.1412) loss_lansim: 0.1318 (0.1185) loss_contra: 0.0020 (0.0145) time: 3.0032 data: 0.0061 max mem: 31630 Epoch: [7] [4290/5278] eta: 0:49:54 lr: 4.111766978073564e-05 loss: 0.1358 (0.1425) loss_seg: 0.1345 (0.1412) loss_lansim: 0.1312 (0.1185) loss_contra: 0.0022 (0.0145) time: 2.9918 data: 0.0061 max mem: 31630 Epoch: [7] [4300/5278] eta: 0:49:23 lr: 4.111549145731771e-05 loss: 0.1332 (0.1425) loss_seg: 0.1315 (0.1411) loss_lansim: 0.1312 (0.1185) loss_contra: 0.0022 (0.0145) time: 2.9776 data: 0.0060 max mem: 31630 Epoch: [7] [4310/5278] eta: 0:48:53 lr: 4.111331312107648e-05 loss: 0.1339 (0.1425) loss_seg: 0.1327 (0.1412) loss_lansim: 0.1306 (0.1186) loss_contra: 0.0020 (0.0145) time: 2.9640 data: 0.0060 max mem: 31630 Epoch: [7] [4320/5278] eta: 0:48:23 lr: 4.1111134772011164e-05 loss: 0.1338 (0.1425) loss_seg: 0.1324 (0.1412) loss_lansim: 0.1306 (0.1186) loss_contra: 0.0018 (0.0144) time: 2.9518 data: 0.0060 max mem: 31630 Epoch: [7] [4330/5278] eta: 0:47:52 lr: 4.110895641012088e-05 loss: 0.1355 (0.1425) loss_seg: 0.1342 (0.1412) loss_lansim: 0.1297 (0.1186) loss_contra: 0.0015 (0.0145) time: 2.9272 data: 0.0060 max mem: 31630 Epoch: [7] [4340/5278] eta: 0:47:21 lr: 4.110677803540482e-05 loss: 0.1290 (0.1425) loss_seg: 0.1271 (0.1412) loss_lansim: 0.1294 (0.1187) loss_contra: 0.0013 (0.0145) time: 2.9266 data: 0.0060 max mem: 31630 Epoch: [7] [4350/5278] eta: 0:46:51 lr: 4.1104599647862166e-05 loss: 0.1278 (0.1425) loss_seg: 0.1264 (0.1412) loss_lansim: 0.1302 (0.1187) loss_contra: 0.0015 (0.0145) time: 2.9309 data: 0.0060 max mem: 31630 Epoch: [7] [4360/5278] eta: 0:46:20 lr: 4.110242124749207e-05 loss: 0.1258 (0.1424) loss_seg: 0.1244 (0.1411) loss_lansim: 0.1334 (0.1188) loss_contra: 0.0018 (0.0145) time: 2.9285 data: 0.0060 max mem: 31630 Epoch: [7] [4370/5278] eta: 0:45:50 lr: 4.11002428342937e-05 loss: 0.1290 (0.1425) loss_seg: 0.1269 (0.1411) loss_lansim: 0.1334 (0.1188) loss_contra: 0.0018 (0.0145) time: 2.9280 data: 0.0060 max mem: 31630 Epoch: [7] [4380/5278] eta: 0:45:19 lr: 4.109806440826623e-05 loss: 0.1326 (0.1425) loss_seg: 0.1311 (0.1411) loss_lansim: 0.1337 (0.1189) loss_contra: 0.0015 (0.0144) time: 2.9253 data: 0.0060 max mem: 31630 Epoch: [7] [4390/5278] eta: 0:44:49 lr: 4.109588596940883e-05 loss: 0.1331 (0.1425) loss_seg: 0.1312 (0.1411) loss_lansim: 0.1338 (0.1189) loss_contra: 0.0017 (0.0144) time: 2.9249 data: 0.0060 max mem: 31630 Epoch: [7] [4400/5278] eta: 0:44:18 lr: 4.1093707517720674e-05 loss: 0.1351 (0.1424) loss_seg: 0.1336 (0.1411) loss_lansim: 0.1344 (0.1190) loss_contra: 0.0017 (0.0144) time: 2.9299 data: 0.0060 max mem: 31630 Epoch: [7] [4410/5278] eta: 0:43:48 lr: 4.1091529053200924e-05 loss: 0.1326 (0.1424) loss_seg: 0.1311 (0.1411) loss_lansim: 0.1354 (0.1190) loss_contra: 0.0018 (0.0144) time: 2.9316 data: 0.0059 max mem: 31630 Epoch: [7] [4420/5278] eta: 0:43:17 lr: 4.1089350575848746e-05 loss: 0.1326 (0.1424) loss_seg: 0.1311 (0.1411) loss_lansim: 0.1355 (0.1191) loss_contra: 0.0018 (0.0144) time: 2.9237 data: 0.0059 max mem: 31630 Epoch: [7] [4430/5278] eta: 0:42:47 lr: 4.1087172085663314e-05 loss: 0.1311 (0.1425) loss_seg: 0.1293 (0.1411) loss_lansim: 0.1367 (0.1191) loss_contra: 0.0018 (0.0144) time: 2.9293 data: 0.0058 max mem: 31630 Epoch: [7] [4440/5278] eta: 0:42:17 lr: 4.108499358264378e-05 loss: 0.1301 (0.1425) loss_seg: 0.1287 (0.1411) loss_lansim: 0.1367 (0.1192) loss_contra: 0.0022 (0.0144) time: 2.9292 data: 0.0058 max mem: 31630 Epoch: [7] [4450/5278] eta: 0:41:46 lr: 4.108281506678934e-05 loss: 0.1284 (0.1425) loss_seg: 0.1268 (0.1411) loss_lansim: 0.1372 (0.1192) loss_contra: 0.0018 (0.0144) time: 2.9319 data: 0.0058 max mem: 31630 Epoch: [7] [4460/5278] eta: 0:41:16 lr: 4.1080636538099146e-05 loss: 0.1273 (0.1424) loss_seg: 0.1260 (0.1411) loss_lansim: 0.1375 (0.1193) loss_contra: 0.0016 (0.0144) time: 2.9362 data: 0.0057 max mem: 31630 Epoch: [7] [4470/5278] eta: 0:40:45 lr: 4.107845799657237e-05 loss: 0.1272 (0.1424) loss_seg: 0.1258 (0.1411) loss_lansim: 0.1386 (0.1193) loss_contra: 0.0016 (0.0143) time: 2.9343 data: 0.0057 max mem: 31630 Epoch: [7] [4480/5278] eta: 0:40:15 lr: 4.107627944220818e-05 loss: 0.1284 (0.1425) loss_seg: 0.1268 (0.1411) loss_lansim: 0.1385 (0.1193) loss_contra: 0.0016 (0.0143) time: 2.9347 data: 0.0057 max mem: 31630 Epoch: [7] [4490/5278] eta: 0:39:44 lr: 4.1074100875005736e-05 loss: 0.1273 (0.1425) loss_seg: 0.1260 (0.1411) loss_lansim: 0.1385 (0.1194) loss_contra: 0.0014 (0.0143) time: 2.9327 data: 0.0057 max mem: 31630 Epoch: [7] [4500/5278] eta: 0:39:14 lr: 4.107192229496422e-05 loss: 0.1287 (0.1425) loss_seg: 0.1273 (0.1411) loss_lansim: 0.1384 (0.1194) loss_contra: 0.0014 (0.0143) time: 2.9299 data: 0.0057 max mem: 31630 Epoch: [7] [4510/5278] eta: 0:38:44 lr: 4.106974370208278e-05 loss: 0.1274 (0.1424) loss_seg: 0.1261 (0.1411) loss_lansim: 0.1380 (0.1195) loss_contra: 0.0014 (0.0143) time: 2.9325 data: 0.0058 max mem: 31630 Epoch: [7] [4520/5278] eta: 0:38:13 lr: 4.1067565096360607e-05 loss: 0.1274 (0.1425) loss_seg: 0.1261 (0.1411) loss_lansim: 0.1386 (0.1195) loss_contra: 0.0014 (0.0142) time: 2.9383 data: 0.0058 max mem: 31630 Epoch: [7] [4530/5278] eta: 0:37:43 lr: 4.1065386477796855e-05 loss: 0.1281 (0.1425) loss_seg: 0.1261 (0.1412) loss_lansim: 0.1384 (0.1196) loss_contra: 0.0014 (0.0143) time: 2.9373 data: 0.0059 max mem: 31630 Epoch: [7] [4540/5278] eta: 0:37:12 lr: 4.106320784639068e-05 loss: 0.1287 (0.1425) loss_seg: 0.1273 (0.1412) loss_lansim: 0.1389 (0.1196) loss_contra: 0.0012 (0.0143) time: 2.9353 data: 0.0059 max mem: 31630 Epoch: [7] [4550/5278] eta: 0:36:42 lr: 4.1061029202141273e-05 loss: 0.1373 (0.1425) loss_seg: 0.1357 (0.1412) loss_lansim: 0.1386 (0.1196) loss_contra: 0.0014 (0.0143) time: 2.9394 data: 0.0059 max mem: 31630 Epoch: [7] [4560/5278] eta: 0:36:12 lr: 4.1058850545047796e-05 loss: 0.1373 (0.1426) loss_seg: 0.1357 (0.1413) loss_lansim: 0.1380 (0.1197) loss_contra: 0.0014 (0.0143) time: 2.9371 data: 0.0059 max mem: 31630 Epoch: [7] [4570/5278] eta: 0:35:41 lr: 4.1056671875109396e-05 loss: 0.1384 (0.1426) loss_seg: 0.1366 (0.1413) loss_lansim: 0.1372 (0.1197) loss_contra: 0.0012 (0.0142) time: 2.9377 data: 0.0059 max mem: 31630 Epoch: [7] [4580/5278] eta: 0:35:11 lr: 4.105449319232526e-05 loss: 0.1373 (0.1426) loss_seg: 0.1357 (0.1413) loss_lansim: 0.1376 (0.1198) loss_contra: 0.0014 (0.0142) time: 2.9378 data: 0.0059 max mem: 31630 Epoch: [7] [4590/5278] eta: 0:34:40 lr: 4.105231449669455e-05 loss: 0.1386 (0.1427) loss_seg: 0.1373 (0.1413) loss_lansim: 0.1382 (0.1198) loss_contra: 0.0015 (0.0142) time: 2.9410 data: 0.0059 max mem: 31630 Epoch: [7] [4600/5278] eta: 0:34:10 lr: 4.1050135788216434e-05 loss: 0.1426 (0.1427) loss_seg: 0.1414 (0.1414) loss_lansim: 0.1344 (0.1198) loss_contra: 0.0015 (0.0142) time: 2.9449 data: 0.0060 max mem: 31630 Epoch: [7] [4610/5278] eta: 0:33:40 lr: 4.1047957066890076e-05 loss: 0.1429 (0.1427) loss_seg: 0.1414 (0.1413) loss_lansim: 0.1332 (0.1198) loss_contra: 0.0015 (0.0142) time: 2.9369 data: 0.0059 max mem: 31630 Epoch: [7] [4620/5278] eta: 0:33:09 lr: 4.1045778332714636e-05 loss: 0.1456 (0.1427) loss_seg: 0.1441 (0.1414) loss_lansim: 0.1315 (0.1199) loss_contra: 0.0016 (0.0142) time: 2.9316 data: 0.0059 max mem: 31630 Epoch: [7] [4630/5278] eta: 0:32:39 lr: 4.104359958568929e-05 loss: 0.1456 (0.1428) loss_seg: 0.1441 (0.1414) loss_lansim: 0.1315 (0.1199) loss_contra: 0.0017 (0.0142) time: 2.9351 data: 0.0059 max mem: 31630 Epoch: [7] [4640/5278] eta: 0:32:09 lr: 4.104142082581321e-05 loss: 0.1502 (0.1428) loss_seg: 0.1486 (0.1415) loss_lansim: 0.1313 (0.1199) loss_contra: 0.0018 (0.0142) time: 2.9367 data: 0.0058 max mem: 31630 Epoch: [7] [4650/5278] eta: 0:31:38 lr: 4.103924205308554e-05 loss: 0.1429 (0.1428) loss_seg: 0.1414 (0.1415) loss_lansim: 0.1312 (0.1199) loss_contra: 0.0018 (0.0142) time: 2.9334 data: 0.0058 max mem: 31630 Epoch: [7] [4660/5278] eta: 0:31:08 lr: 4.1037063267505466e-05 loss: 0.1426 (0.1427) loss_seg: 0.1414 (0.1414) loss_lansim: 0.1310 (0.1200) loss_contra: 0.0021 (0.0142) time: 2.9269 data: 0.0058 max mem: 31630 Epoch: [7] [4670/5278] eta: 0:30:37 lr: 4.103488446907215e-05 loss: 0.1426 (0.1427) loss_seg: 0.1414 (0.1414) loss_lansim: 0.1302 (0.1200) loss_contra: 0.0016 (0.0141) time: 2.9229 data: 0.0058 max mem: 31630 Epoch: [7] [4680/5278] eta: 0:30:07 lr: 4.103270565778475e-05 loss: 0.1349 (0.1427) loss_seg: 0.1335 (0.1414) loss_lansim: 0.1312 (0.1200) loss_contra: 0.0016 (0.0141) time: 2.9253 data: 0.0058 max mem: 31630 Epoch: [7] [4690/5278] eta: 0:29:37 lr: 4.103052683364244e-05 loss: 0.1354 (0.1428) loss_seg: 0.1339 (0.1414) loss_lansim: 0.1303 (0.1200) loss_contra: 0.0016 (0.0141) time: 2.9232 data: 0.0058 max mem: 31630 Epoch: [7] [4700/5278] eta: 0:29:06 lr: 4.102834799664439e-05 loss: 0.1346 (0.1428) loss_seg: 0.1327 (0.1415) loss_lansim: 0.1286 (0.1201) loss_contra: 0.0016 (0.0141) time: 2.9214 data: 0.0057 max mem: 31630 Epoch: [7] [4710/5278] eta: 0:28:36 lr: 4.1026169146789745e-05 loss: 0.1358 (0.1429) loss_seg: 0.1347 (0.1415) loss_lansim: 0.1303 (0.1201) loss_contra: 0.0016 (0.0141) time: 2.9297 data: 0.0057 max mem: 31630 Epoch: [7] [4720/5278] eta: 0:28:06 lr: 4.102399028407769e-05 loss: 0.1346 (0.1429) loss_seg: 0.1326 (0.1415) loss_lansim: 0.1312 (0.1201) loss_contra: 0.0016 (0.0141) time: 2.9338 data: 0.0057 max mem: 31630 Epoch: [7] [4730/5278] eta: 0:27:35 lr: 4.102181140850738e-05 loss: 0.1339 (0.1429) loss_seg: 0.1318 (0.1416) loss_lansim: 0.1325 (0.1202) loss_contra: 0.0016 (0.0141) time: 2.9315 data: 0.0057 max mem: 31630 Epoch: [7] [4740/5278] eta: 0:27:05 lr: 4.1019632520078e-05 loss: 0.1319 (0.1429) loss_seg: 0.1303 (0.1416) loss_lansim: 0.1338 (0.1203) loss_contra: 0.0014 (0.0141) time: 2.9309 data: 0.0057 max mem: 31630 Epoch: [7] [4750/5278] eta: 0:26:35 lr: 4.101745361878869e-05 loss: 0.1362 (0.1430) loss_seg: 0.1349 (0.1416) loss_lansim: 0.1338 (0.1203) loss_contra: 0.0014 (0.0141) time: 2.9256 data: 0.0058 max mem: 31630 Epoch: [7] [4760/5278] eta: 0:26:04 lr: 4.101527470463862e-05 loss: 0.1427 (0.1430) loss_seg: 0.1411 (0.1416) loss_lansim: 0.1358 (0.1203) loss_contra: 0.0019 (0.0141) time: 2.9280 data: 0.0058 max mem: 31630 Epoch: [7] [4770/5278] eta: 0:25:34 lr: 4.101309577762697e-05 loss: 0.1427 (0.1430) loss_seg: 0.1415 (0.1416) loss_lansim: 0.1360 (0.1204) loss_contra: 0.0020 (0.0141) time: 2.9366 data: 0.0059 max mem: 31630 Epoch: [7] [4780/5278] eta: 0:25:04 lr: 4.101091683775289e-05 loss: 0.1446 (0.1430) loss_seg: 0.1431 (0.1417) loss_lansim: 0.1327 (0.1204) loss_contra: 0.0020 (0.0141) time: 2.9395 data: 0.0059 max mem: 31630 Epoch: [7] [4790/5278] eta: 0:24:34 lr: 4.100873788501554e-05 loss: 0.1451 (0.1430) loss_seg: 0.1437 (0.1417) loss_lansim: 0.1323 (0.1204) loss_contra: 0.0020 (0.0141) time: 2.9421 data: 0.0059 max mem: 31630 Epoch: [7] [4800/5278] eta: 0:24:03 lr: 4.100655891941411e-05 loss: 0.1446 (0.1430) loss_seg: 0.1431 (0.1417) loss_lansim: 0.1327 (0.1204) loss_contra: 0.0020 (0.0140) time: 2.9456 data: 0.0059 max mem: 31630 Epoch: [7] [4810/5278] eta: 0:23:33 lr: 4.100437994094774e-05 loss: 0.1451 (0.1430) loss_seg: 0.1437 (0.1417) loss_lansim: 0.1323 (0.1204) loss_contra: 0.0026 (0.0140) time: 2.9468 data: 0.0059 max mem: 31630 Epoch: [7] [4820/5278] eta: 0:23:03 lr: 4.10022009496156e-05 loss: 0.1470 (0.1431) loss_seg: 0.1456 (0.1418) loss_lansim: 0.1292 (0.1204) loss_contra: 0.0031 (0.0140) time: 2.9439 data: 0.0059 max mem: 31630 Epoch: [7] [4830/5278] eta: 0:22:33 lr: 4.100002194541686e-05 loss: 0.1512 (0.1432) loss_seg: 0.1491 (0.1418) loss_lansim: 0.1276 (0.1204) loss_contra: 0.0031 (0.0140) time: 2.9411 data: 0.0060 max mem: 31630 Epoch: [7] [4840/5278] eta: 0:22:02 lr: 4.099784292835068e-05 loss: 0.1512 (0.1432) loss_seg: 0.1491 (0.1419) loss_lansim: 0.1261 (0.1204) loss_contra: 0.0031 (0.0140) time: 2.9401 data: 0.0060 max mem: 31630 Epoch: [7] [4850/5278] eta: 0:21:32 lr: 4.099566389841624e-05 loss: 0.1501 (0.1432) loss_seg: 0.1488 (0.1419) loss_lansim: 0.1258 (0.1204) loss_contra: 0.0033 (0.0140) time: 2.9429 data: 0.0060 max mem: 31630 Epoch: [7] [4860/5278] eta: 0:21:02 lr: 4.0993484855612675e-05 loss: 0.1477 (0.1432) loss_seg: 0.1462 (0.1419) loss_lansim: 0.1253 (0.1204) loss_contra: 0.0029 (0.0140) time: 2.9464 data: 0.0059 max mem: 31630 Epoch: [7] [4870/5278] eta: 0:20:31 lr: 4.0991305799939164e-05 loss: 0.1477 (0.1432) loss_seg: 0.1462 (0.1419) loss_lansim: 0.1250 (0.1204) loss_contra: 0.0029 (0.0140) time: 2.9406 data: 0.0059 max mem: 31630 Epoch: [7] [4880/5278] eta: 0:20:01 lr: 4.098912673139487e-05 loss: 0.1470 (0.1433) loss_seg: 0.1456 (0.1419) loss_lansim: 0.1239 (0.1204) loss_contra: 0.0033 (0.0140) time: 2.9402 data: 0.0059 max mem: 31630 Epoch: [7] [4890/5278] eta: 0:19:31 lr: 4.098694764997896e-05 loss: 0.1367 (0.1433) loss_seg: 0.1355 (0.1419) loss_lansim: 0.1212 (0.1204) loss_contra: 0.0029 (0.0140) time: 2.9436 data: 0.0059 max mem: 31630 Epoch: [7] [4900/5278] eta: 0:19:01 lr: 4.09847685556906e-05 loss: 0.1367 (0.1433) loss_seg: 0.1355 (0.1419) loss_lansim: 0.1192 (0.1203) loss_contra: 0.0029 (0.0140) time: 2.9353 data: 0.0059 max mem: 31630 Epoch: [7] [4910/5278] eta: 0:18:30 lr: 4.098258944852894e-05 loss: 0.1344 (0.1433) loss_seg: 0.1329 (0.1419) loss_lansim: 0.1138 (0.1202) loss_contra: 0.0027 (0.0141) time: 2.9265 data: 0.0060 max mem: 31630 Epoch: [7] [4920/5278] eta: 0:18:00 lr: 4.098041032849315e-05 loss: 0.1347 (0.1433) loss_seg: 0.1334 (0.1419) loss_lansim: 0.1096 (0.1202) loss_contra: 0.0028 (0.0142) time: 2.9309 data: 0.0060 max mem: 31630 Epoch: [7] [4930/5278] eta: 0:17:30 lr: 4.0978231195582406e-05 loss: 0.1325 (0.1433) loss_seg: 0.1315 (0.1419) loss_lansim: 0.1032 (0.1201) loss_contra: 0.0039 (0.0142) time: 2.9285 data: 0.0059 max mem: 31630 Epoch: [7] [4940/5278] eta: 0:17:00 lr: 4.097605204979585e-05 loss: 0.1335 (0.1433) loss_seg: 0.1325 (0.1420) loss_lansim: 0.0960 (0.1200) loss_contra: 0.0054 (0.0142) time: 2.9281 data: 0.0059 max mem: 31630 Epoch: [7] [4950/5278] eta: 0:16:29 lr: 4.097387289113266e-05 loss: 0.1329 (0.1433) loss_seg: 0.1317 (0.1420) loss_lansim: 0.0913 (0.1200) loss_contra: 0.0056 (0.0143) time: 2.9259 data: 0.0059 max mem: 31630 Epoch: [7] [4960/5278] eta: 0:15:59 lr: 4.097169371959199e-05 loss: 0.1325 (0.1433) loss_seg: 0.1315 (0.1420) loss_lansim: 0.0881 (0.1199) loss_contra: 0.0071 (0.0143) time: 2.9219 data: 0.0059 max mem: 31630 Epoch: [7] [4970/5278] eta: 0:15:29 lr: 4.096951453517301e-05 loss: 0.1304 (0.1433) loss_seg: 0.1295 (0.1420) loss_lansim: 0.0862 (0.1198) loss_contra: 0.0075 (0.0143) time: 2.9173 data: 0.0060 max mem: 31630 Epoch: [7] [4980/5278] eta: 0:14:59 lr: 4.096733533787488e-05 loss: 0.1255 (0.1433) loss_seg: 0.1240 (0.1419) loss_lansim: 0.0861 (0.1197) loss_contra: 0.0071 (0.0144) time: 2.9174 data: 0.0060 max mem: 31630 Epoch: [7] [4990/5278] eta: 0:14:28 lr: 4.096515612769676e-05 loss: 0.1275 (0.1432) loss_seg: 0.1244 (0.1419) loss_lansim: 0.0843 (0.1197) loss_contra: 0.0083 (0.0145) time: 2.9077 data: 0.0060 max mem: 31630 Epoch: [7] [5000/5278] eta: 0:13:58 lr: 4.0962976904637817e-05 loss: 0.1282 (0.1433) loss_seg: 0.1265 (0.1420) loss_lansim: 0.0828 (0.1196) loss_contra: 0.0083 (0.0145) time: 2.9033 data: 0.0060 max mem: 31630 Epoch: [7] [5010/5278] eta: 0:13:28 lr: 4.096079766869721e-05 loss: 0.1287 (0.1433) loss_seg: 0.1273 (0.1420) loss_lansim: 0.0828 (0.1195) loss_contra: 0.0083 (0.0145) time: 2.9041 data: 0.0061 max mem: 31630 Epoch: [7] [5020/5278] eta: 0:12:58 lr: 4.0958618419874104e-05 loss: 0.1296 (0.1434) loss_seg: 0.1283 (0.1420) loss_lansim: 0.0829 (0.1194) loss_contra: 0.0083 (0.0145) time: 2.8952 data: 0.0061 max mem: 31630 Epoch: [7] [5030/5278] eta: 0:12:27 lr: 4.095643915816766e-05 loss: 0.1291 (0.1433) loss_seg: 0.1273 (0.1420) loss_lansim: 0.0843 (0.1194) loss_contra: 0.0075 (0.0145) time: 2.8965 data: 0.0061 max mem: 31630 Epoch: [7] [5040/5278] eta: 0:11:57 lr: 4.095425988357705e-05 loss: 0.1255 (0.1433) loss_seg: 0.1240 (0.1420) loss_lansim: 0.0842 (0.1193) loss_contra: 0.0065 (0.0146) time: 2.8925 data: 0.0061 max mem: 31630 Epoch: [7] [5050/5278] eta: 0:11:27 lr: 4.095208059610141e-05 loss: 0.1255 (0.1433) loss_seg: 0.1240 (0.1419) loss_lansim: 0.0843 (0.1193) loss_contra: 0.0051 (0.0145) time: 2.8855 data: 0.0061 max mem: 31630 Epoch: [7] [5060/5278] eta: 0:10:57 lr: 4.094990129573993e-05 loss: 0.1270 (0.1433) loss_seg: 0.1245 (0.1419) loss_lansim: 0.0848 (0.1192) loss_contra: 0.0038 (0.0145) time: 2.8930 data: 0.0061 max mem: 31630 Epoch: [7] [5070/5278] eta: 0:10:27 lr: 4.094772198249175e-05 loss: 0.1300 (0.1433) loss_seg: 0.1288 (0.1420) loss_lansim: 0.0849 (0.1192) loss_contra: 0.0026 (0.0145) time: 2.8982 data: 0.0061 max mem: 31630 Epoch: [7] [5080/5278] eta: 0:09:56 lr: 4.0945542656356044e-05 loss: 0.1304 (0.1433) loss_seg: 0.1293 (0.1419) loss_lansim: 0.0848 (0.1191) loss_contra: 0.0026 (0.0145) time: 2.8945 data: 0.0062 max mem: 31630 Epoch: [7] [5090/5278] eta: 0:09:26 lr: 4.094336331733197e-05 loss: 0.1363 (0.1434) loss_seg: 0.1355 (0.1420) loss_lansim: 0.0854 (0.1190) loss_contra: 0.0027 (0.0145) time: 2.8994 data: 0.0061 max mem: 31630 Epoch: [7] [5100/5278] eta: 0:08:56 lr: 4.09411839654187e-05 loss: 0.1351 (0.1434) loss_seg: 0.1326 (0.1420) loss_lansim: 0.0869 (0.1190) loss_contra: 0.0025 (0.0145) time: 2.9091 data: 0.0061 max mem: 31630 Epoch: [7] [5110/5278] eta: 0:08:26 lr: 4.093900460061538e-05 loss: 0.1355 (0.1434) loss_seg: 0.1347 (0.1421) loss_lansim: 0.0879 (0.1189) loss_contra: 0.0025 (0.0144) time: 2.9142 data: 0.0061 max mem: 31630 Epoch: [7] [5120/5278] eta: 0:07:56 lr: 4.0936825222921175e-05 loss: 0.1355 (0.1435) loss_seg: 0.1347 (0.1421) loss_lansim: 0.0893 (0.1189) loss_contra: 0.0019 (0.0144) time: 2.9230 data: 0.0061 max mem: 31630 Epoch: [7] [5130/5278] eta: 0:07:26 lr: 4.0934645832335254e-05 loss: 0.1386 (0.1435) loss_seg: 0.1367 (0.1421) loss_lansim: 0.0901 (0.1188) loss_contra: 0.0018 (0.0144) time: 2.9208 data: 0.0061 max mem: 31630 Epoch: [7] [5140/5278] eta: 0:06:55 lr: 4.0932466428856774e-05 loss: 0.1386 (0.1435) loss_seg: 0.1375 (0.1422) loss_lansim: 0.0902 (0.1188) loss_contra: 0.0020 (0.0145) time: 2.9281 data: 0.0060 max mem: 31630 Epoch: [7] [5150/5278] eta: 0:06:25 lr: 4.0930287012484894e-05 loss: 0.1393 (0.1435) loss_seg: 0.1384 (0.1421) loss_lansim: 0.0902 (0.1187) loss_contra: 0.0022 (0.0145) time: 2.9351 data: 0.0061 max mem: 31630 Epoch: [7] [5160/5278] eta: 0:05:55 lr: 4.0928107583218774e-05 loss: 0.1409 (0.1435) loss_seg: 0.1400 (0.1422) loss_lansim: 0.0904 (0.1187) loss_contra: 0.0028 (0.0145) time: 2.9300 data: 0.0061 max mem: 31630 Epoch: [7] [5170/5278] eta: 0:05:25 lr: 4.092592814105757e-05 loss: 0.1409 (0.1435) loss_seg: 0.1400 (0.1422) loss_lansim: 0.0903 (0.1186) loss_contra: 0.0027 (0.0145) time: 2.9319 data: 0.0061 max mem: 31630 Epoch: [7] [5180/5278] eta: 0:04:55 lr: 4.092374868600046e-05 loss: 0.1495 (0.1435) loss_seg: 0.1487 (0.1422) loss_lansim: 0.0906 (0.1186) loss_contra: 0.0027 (0.0144) time: 2.9344 data: 0.0061 max mem: 31630 Epoch: [7] [5190/5278] eta: 0:04:25 lr: 4.092156921804659e-05 loss: 0.1420 (0.1436) loss_seg: 0.1409 (0.1422) loss_lansim: 0.0919 (0.1185) loss_contra: 0.0024 (0.0145) time: 2.9293 data: 0.0061 max mem: 31630 Epoch: [7] [5200/5278] eta: 0:03:55 lr: 4.0919389737195125e-05 loss: 0.1420 (0.1435) loss_seg: 0.1409 (0.1422) loss_lansim: 0.0932 (0.1185) loss_contra: 0.0022 (0.0144) time: 2.9297 data: 0.0061 max mem: 31630 Epoch: [7] [5210/5278] eta: 0:03:24 lr: 4.091721024344522e-05 loss: 0.1407 (0.1435) loss_seg: 0.1397 (0.1422) loss_lansim: 0.0924 (0.1185) loss_contra: 0.0022 (0.0144) time: 2.9269 data: 0.0061 max mem: 31630 Epoch: [7] [5220/5278] eta: 0:02:54 lr: 4.091503073679605e-05 loss: 0.1366 (0.1435) loss_seg: 0.1356 (0.1422) loss_lansim: 0.0932 (0.1184) loss_contra: 0.0024 (0.0144) time: 2.9241 data: 0.0061 max mem: 31630 Epoch: [7] [5230/5278] eta: 0:02:24 lr: 4.091285121724675e-05 loss: 0.1317 (0.1436) loss_seg: 0.1308 (0.1422) loss_lansim: 0.0927 (0.1184) loss_contra: 0.0028 (0.0144) time: 2.9295 data: 0.0061 max mem: 31630 Epoch: [7] [5240/5278] eta: 0:01:54 lr: 4.091067168479651e-05 loss: 0.1354 (0.1436) loss_seg: 0.1343 (0.1423) loss_lansim: 0.0937 (0.1183) loss_contra: 0.0027 (0.0144) time: 2.9260 data: 0.0061 max mem: 31630 Epoch: [7] [5250/5278] eta: 0:01:24 lr: 4.0908492139444474e-05 loss: 0.1381 (0.1437) loss_seg: 0.1372 (0.1423) loss_lansim: 0.0950 (0.1183) loss_contra: 0.0028 (0.0145) time: 2.9285 data: 0.0061 max mem: 31630 Epoch: [7] [5260/5278] eta: 0:00:54 lr: 4.090631258118979e-05 loss: 0.1488 (0.1437) loss_seg: 0.1466 (0.1424) loss_lansim: 0.0962 (0.1183) loss_contra: 0.0031 (0.0146) time: 2.9346 data: 0.0061 max mem: 31630 Epoch: [7] [5270/5278] eta: 0:00:24 lr: 4.0904133010031646e-05 loss: 0.1407 (0.1437) loss_seg: 0.1397 (0.1424) loss_lansim: 0.0968 (0.1183) loss_contra: 0.0033 (0.0147) time: 2.9326 data: 0.0061 max mem: 31630 Epoch: [7] Total time: 4:24:56 Test: [ 0/2573] eta: 0:55:56 time: 1.3044 data: 1.1230 max mem: 31630 Test: [ 100/2573] eta: 0:06:15 time: 0.1401 data: 0.0016 max mem: 31630 Test: [ 200/2573] eta: 0:05:53 time: 0.1467 data: 0.0017 max mem: 31630 Test: [ 300/2573] eta: 0:05:33 time: 0.1412 data: 0.0016 max mem: 31630 Test: [ 400/2573] eta: 0:05:16 time: 0.1433 data: 0.0016 max mem: 31630 Test: [ 500/2573] eta: 0:05:01 time: 0.1433 data: 0.0016 max mem: 31630 Test: [ 600/2573] eta: 0:04:46 time: 0.1445 data: 0.0016 max mem: 31630 Test: [ 700/2573] eta: 0:04:32 time: 0.1485 data: 0.0016 max mem: 31630 Test: [ 800/2573] eta: 0:04:18 time: 0.1455 data: 0.0016 max mem: 31630 Test: [ 900/2573] eta: 0:04:03 time: 0.1455 data: 0.0016 max mem: 31630 Test: [1000/2573] eta: 0:03:48 time: 0.1457 data: 0.0016 max mem: 31630 Test: [1100/2573] eta: 0:03:34 time: 0.1435 data: 0.0015 max mem: 31630 Test: [1200/2573] eta: 0:03:19 time: 0.1476 data: 0.0016 max mem: 31630 Test: [1300/2573] eta: 0:03:05 time: 0.1449 data: 0.0016 max mem: 31630 Test: [1400/2573] eta: 0:02:50 time: 0.1405 data: 0.0016 max mem: 31630 Test: [1500/2573] eta: 0:02:35 time: 0.1454 data: 0.0016 max mem: 31630 Test: [1600/2573] eta: 0:02:21 time: 0.1457 data: 0.0016 max mem: 31630 Test: [1700/2573] eta: 0:02:06 time: 0.1459 data: 0.0016 max mem: 31630 Test: [1800/2573] eta: 0:01:52 time: 0.1432 data: 0.0016 max mem: 31630 Test: [1900/2573] eta: 0:01:37 time: 0.1409 data: 0.0016 max mem: 31630 Test: [2000/2573] eta: 0:01:22 time: 0.1416 data: 0.0016 max mem: 31630 Test: [2100/2573] eta: 0:01:08 time: 0.1452 data: 0.0016 max mem: 31630 Test: [2200/2573] eta: 0:00:53 time: 0.1405 data: 0.0016 max mem: 31630 Test: [2300/2573] eta: 0:00:39 time: 0.1458 data: 0.0016 max mem: 31630 Test: [2400/2573] eta: 0:00:25 time: 0.1430 data: 0.0016 max mem: 31630 Test: [2500/2573] eta: 0:00:10 time: 0.1459 data: 0.0016 max mem: 31630 Test: Total time: 0:06:12 Final results: precision@0.5 = 54.00 precision@0.6 = 47.57 precision@0.7 = 39.54 precision@0.8 = 28.82 precision@0.9 = 11.38 overall IoU = 49.61 mean IoU = 49.69 Better epoch: 7 The best_performance is 49.613312058296245 Epoch: [8] [ 0/5278] eta: 6:59:52 lr: 4.0902389343814054e-05 loss: 0.1216 (0.1216) loss_seg: 0.1208 (0.1208) loss_lansim: 0.0813 (0.0813) loss_contra: 0.0032 (0.0032) time: 4.7731 data: 1.6409 max mem: 31630 Epoch: [8] [ 10/5278] eta: 4:33:24 lr: 4.090020974942753e-05 loss: 0.1216 (0.1300) loss_seg: 0.1208 (0.1289) loss_lansim: 0.1008 (0.1056) loss_contra: 0.0044 (0.0103) time: 3.1139 data: 0.1543 max mem: 31630 Epoch: [8] [ 20/5278] eta: 4:26:30 lr: 4.089803014213518e-05 loss: 0.1076 (0.1189) loss_seg: 0.1065 (0.1177) loss_lansim: 0.1047 (0.1038) loss_contra: 0.0038 (0.0081) time: 3.0412 data: 0.0833 max mem: 31630 Epoch: [8] [ 30/5278] eta: 4:21:04 lr: 4.089585052193616e-05 loss: 0.1140 (0.1183) loss_seg: 0.1127 (0.1169) loss_lansim: 0.1047 (0.1026) loss_contra: 0.0042 (0.0440) time: 2.9848 data: 0.0584 max mem: 31630 Epoch: [8] [ 40/5278] eta: 4:20:22 lr: 4.089367088882962e-05 loss: 0.1151 (0.1225) loss_seg: 0.1139 (0.1211) loss_lansim: 0.1048 (0.1040) loss_contra: 0.0044 (0.0359) time: 2.9826 data: 0.0456 max mem: 31630 Epoch: [8] [ 50/5278] eta: 4:19:53 lr: 4.089149124281474e-05 loss: 0.1151 (0.1201) loss_seg: 0.1139 (0.1188) loss_lansim: 0.1048 (0.1047) loss_contra: 0.0041 (0.0332) time: 2.9826 data: 0.0378 max mem: 31630 Epoch: [8] [ 60/5278] eta: 4:18:54 lr: 4.0889311583890675e-05 loss: 0.1170 (0.1202) loss_seg: 0.1152 (0.1189) loss_lansim: 0.1047 (0.1043) loss_contra: 0.0041 (0.0298) time: 2.9771 data: 0.0325 max mem: 31630 Epoch: [8] [ 70/5278] eta: 4:17:04 lr: 4.0887131912056565e-05 loss: 0.1181 (0.1222) loss_seg: 0.1166 (0.1209) loss_lansim: 0.1037 (0.1039) loss_contra: 0.0040 (0.0266) time: 2.9617 data: 0.0287 max mem: 31630 Epoch: [8] [ 80/5278] eta: 4:16:45 lr: 4.088495222731158e-05 loss: 0.1216 (0.1285) loss_seg: 0.1208 (0.1272) loss_lansim: 0.1034 (0.1034) loss_contra: 0.0042 (0.0247) time: 2.9638 data: 0.0258 max mem: 31630 Epoch: [8] [ 90/5278] eta: 4:15:42 lr: 4.0882772529654883e-05 loss: 0.1235 (0.1308) loss_seg: 0.1223 (0.1295) loss_lansim: 0.1008 (0.1029) loss_contra: 0.0040 (0.0232) time: 2.9572 data: 0.0236 max mem: 31630 Epoch: [8] [ 100/5278] eta: 4:14:41 lr: 4.088059281908563e-05 loss: 0.1235 (0.1308) loss_seg: 0.1227 (0.1296) loss_lansim: 0.1008 (0.1030) loss_contra: 0.0038 (0.0215) time: 2.9331 data: 0.0057 max mem: 31630 Epoch: [8] [ 110/5278] eta: 4:13:53 lr: 4.087841309560298e-05 loss: 0.1235 (0.1294) loss_seg: 0.1227 (0.1281) loss_lansim: 0.1002 (0.1026) loss_contra: 0.0031 (0.0198) time: 2.9293 data: 0.0056 max mem: 31630 Epoch: [8] [ 120/5278] eta: 4:13:15 lr: 4.08762333592061e-05 loss: 0.1254 (0.1300) loss_seg: 0.1243 (0.1288) loss_lansim: 0.0997 (0.1020) loss_contra: 0.0029 (0.0195) time: 2.9260 data: 0.0057 max mem: 31630 Epoch: [8] [ 130/5278] eta: 4:12:41 lr: 4.087405360989413e-05 loss: 0.1252 (0.1295) loss_seg: 0.1239 (0.1283) loss_lansim: 0.0990 (0.1015) loss_contra: 0.0022 (0.0183) time: 2.9327 data: 0.0056 max mem: 31630 Epoch: [8] [ 140/5278] eta: 4:11:46 lr: 4.0871873847666233e-05 loss: 0.1245 (0.1289) loss_seg: 0.1233 (0.1277) loss_lansim: 0.0967 (0.1007) loss_contra: 0.0022 (0.0173) time: 2.9228 data: 0.0056 max mem: 31630 Epoch: [8] [ 150/5278] eta: 4:11:15 lr: 4.086969407252157e-05 loss: 0.1254 (0.1288) loss_seg: 0.1243 (0.1276) loss_lansim: 0.0953 (0.1002) loss_contra: 0.0021 (0.0166) time: 2.9179 data: 0.0056 max mem: 31630 Epoch: [8] [ 160/5278] eta: 4:10:58 lr: 4.0867514284459305e-05 loss: 0.1264 (0.1309) loss_seg: 0.1252 (0.1297) loss_lansim: 0.0963 (0.1003) loss_contra: 0.0021 (0.0163) time: 2.9209 data: 0.0055 max mem: 31630 Epoch: [8] [ 170/5278] eta: 4:10:20 lr: 4.086533448347858e-05 loss: 0.1264 (0.1309) loss_seg: 0.1252 (0.1298) loss_lansim: 0.0954 (0.1000) loss_contra: 0.0021 (0.0156) time: 2.9256 data: 0.0055 max mem: 31630 Epoch: [8] [ 180/5278] eta: 4:09:49 lr: 4.086315466957858e-05 loss: 0.1235 (0.1294) loss_seg: 0.1223 (0.1282) loss_lansim: 0.0947 (0.0996) loss_contra: 0.0018 (0.0156) time: 2.9211 data: 0.0055 max mem: 31630 Epoch: [8] [ 190/5278] eta: 4:08:58 lr: 4.0860974842758436e-05 loss: 0.1211 (0.1306) loss_seg: 0.1196 (0.1295) loss_lansim: 0.0941 (0.0991) loss_contra: 0.0015 (0.0154) time: 2.9166 data: 0.0054 max mem: 31630 Epoch: [8] [ 200/5278] eta: 4:08:34 lr: 4.0858795003017317e-05 loss: 0.1169 (0.1298) loss_seg: 0.1152 (0.1286) loss_lansim: 0.0933 (0.0986) loss_contra: 0.0019 (0.0150) time: 2.9229 data: 0.0054 max mem: 31630 Epoch: [8] [ 210/5278] eta: 4:08:09 lr: 4.0856615150354385e-05 loss: 0.1204 (0.1295) loss_seg: 0.1194 (0.1284) loss_lansim: 0.0932 (0.0986) loss_contra: 0.0018 (0.0145) time: 2.9271 data: 0.0054 max mem: 31630 Epoch: [8] [ 220/5278] eta: 4:07:41 lr: 4.0854435284768786e-05 loss: 0.1204 (0.1297) loss_seg: 0.1194 (0.1286) loss_lansim: 0.0930 (0.0983) loss_contra: 0.0018 (0.0142) time: 2.9286 data: 0.0054 max mem: 31630 Epoch: [8] [ 230/5278] eta: 4:07:23 lr: 4.085225540625969e-05 loss: 0.1232 (0.1304) loss_seg: 0.1220 (0.1293) loss_lansim: 0.0930 (0.0979) loss_contra: 0.0019 (0.0138) time: 2.9343 data: 0.0054 max mem: 31630 Epoch: [8] [ 240/5278] eta: 4:06:51 lr: 4.085007551482624e-05 loss: 0.1211 (0.1305) loss_seg: 0.1201 (0.1294) loss_lansim: 0.0933 (0.0978) loss_contra: 0.0019 (0.0134) time: 2.9396 data: 0.0053 max mem: 31630 Epoch: [8] [ 250/5278] eta: 4:06:10 lr: 4.08478956104676e-05 loss: 0.1211 (0.1303) loss_seg: 0.1201 (0.1292) loss_lansim: 0.0932 (0.0975) loss_contra: 0.0018 (0.0130) time: 2.9342 data: 0.0053 max mem: 31630 Epoch: [8] [ 260/5278] eta: 4:05:42 lr: 4.084571569318293e-05 loss: 0.1211 (0.1309) loss_seg: 0.1201 (0.1298) loss_lansim: 0.0932 (0.0975) loss_contra: 0.0015 (0.0126) time: 2.9312 data: 0.0054 max mem: 31630 Epoch: [8] [ 270/5278] eta: 4:05:07 lr: 4.0843535762971384e-05 loss: 0.1261 (0.1311) loss_seg: 0.1252 (0.1300) loss_lansim: 0.0932 (0.0974) loss_contra: 0.0014 (0.0125) time: 2.9305 data: 0.0053 max mem: 31630 Epoch: [8] [ 280/5278] eta: 4:04:38 lr: 4.084135581983212e-05 loss: 0.1261 (0.1306) loss_seg: 0.1252 (0.1295) loss_lansim: 0.0936 (0.0973) loss_contra: 0.0013 (0.0122) time: 2.9310 data: 0.0053 max mem: 31630 Epoch: [8] [ 290/5278] eta: 4:04:08 lr: 4.083917586376429e-05 loss: 0.1256 (0.1304) loss_seg: 0.1248 (0.1293) loss_lansim: 0.0936 (0.0972) loss_contra: 0.0014 (0.0121) time: 2.9384 data: 0.0054 max mem: 31630 Epoch: [8] [ 300/5278] eta: 4:03:41 lr: 4.083699589476705e-05 loss: 0.1260 (0.1298) loss_seg: 0.1252 (0.1287) loss_lansim: 0.0947 (0.0971) loss_contra: 0.0015 (0.0126) time: 2.9376 data: 0.0054 max mem: 31630 Epoch: [8] [ 310/5278] eta: 4:03:08 lr: 4.083481591283957e-05 loss: 0.1256 (0.1302) loss_seg: 0.1248 (0.1291) loss_lansim: 0.0952 (0.0971) loss_contra: 0.0013 (0.0126) time: 2.9335 data: 0.0054 max mem: 31630 Epoch: [8] [ 320/5278] eta: 4:02:29 lr: 4.083263591798099e-05 loss: 0.1240 (0.1300) loss_seg: 0.1229 (0.1289) loss_lansim: 0.0948 (0.0969) loss_contra: 0.0010 (0.0124) time: 2.9265 data: 0.0054 max mem: 31630 Epoch: [8] [ 330/5278] eta: 4:02:04 lr: 4.083045591019047e-05 loss: 0.1256 (0.1307) loss_seg: 0.1248 (0.1296) loss_lansim: 0.0947 (0.0968) loss_contra: 0.0012 (0.0122) time: 2.9241 data: 0.0054 max mem: 31630 Epoch: [8] [ 340/5278] eta: 4:01:36 lr: 4.082827588946718e-05 loss: 0.1246 (0.1302) loss_seg: 0.1238 (0.1292) loss_lansim: 0.0953 (0.0968) loss_contra: 0.0013 (0.0120) time: 2.9253 data: 0.0054 max mem: 31630 Epoch: [8] [ 350/5278] eta: 4:01:03 lr: 4.082609585581025e-05 loss: 0.1253 (0.1302) loss_seg: 0.1244 (0.1291) loss_lansim: 0.0953 (0.0966) loss_contra: 0.0012 (0.0119) time: 2.9284 data: 0.0053 max mem: 31630 Epoch: [8] [ 360/5278] eta: 4:00:30 lr: 4.0823915809218864e-05 loss: 0.1253 (0.1310) loss_seg: 0.1244 (0.1299) loss_lansim: 0.0936 (0.0964) loss_contra: 0.0013 (0.0116) time: 2.9243 data: 0.0053 max mem: 31630 Epoch: [8] [ 370/5278] eta: 3:59:59 lr: 4.0821735749692156e-05 loss: 0.1253 (0.1311) loss_seg: 0.1244 (0.1300) loss_lansim: 0.0936 (0.0965) loss_contra: 0.0014 (0.0116) time: 2.9256 data: 0.0053 max mem: 31630 Epoch: [8] [ 380/5278] eta: 3:59:29 lr: 4.081955567722929e-05 loss: 0.1262 (0.1313) loss_seg: 0.1253 (0.1302) loss_lansim: 0.0934 (0.0964) loss_contra: 0.0015 (0.0114) time: 2.9251 data: 0.0052 max mem: 31630 Epoch: [8] [ 390/5278] eta: 3:58:57 lr: 4.081737559182943e-05 loss: 0.1262 (0.1310) loss_seg: 0.1253 (0.1299) loss_lansim: 0.0933 (0.0964) loss_contra: 0.0014 (0.0112) time: 2.9227 data: 0.0052 max mem: 31630 Epoch: [8] [ 400/5278] eta: 3:58:29 lr: 4.0815195493491724e-05 loss: 0.1263 (0.1309) loss_seg: 0.1255 (0.1298) loss_lansim: 0.0924 (0.0964) loss_contra: 0.0011 (0.0112) time: 2.9219 data: 0.0052 max mem: 31630 Epoch: [8] [ 410/5278] eta: 3:57:58 lr: 4.0813015382215315e-05 loss: 0.1279 (0.1311) loss_seg: 0.1270 (0.1300) loss_lansim: 0.0921 (0.0963) loss_contra: 0.0014 (0.0110) time: 2.9231 data: 0.0051 max mem: 31630 Epoch: [8] [ 420/5278] eta: 3:57:24 lr: 4.081083525799938e-05 loss: 0.1264 (0.1312) loss_seg: 0.1255 (0.1301) loss_lansim: 0.0921 (0.0963) loss_contra: 0.0014 (0.0114) time: 2.9251 data: 0.0051 max mem: 31630 Epoch: [8] [ 430/5278] eta: 3:56:57 lr: 4.080865512084306e-05 loss: 0.1262 (0.1312) loss_seg: 0.1253 (0.1301) loss_lansim: 0.0933 (0.0964) loss_contra: 0.0011 (0.0115) time: 2.9235 data: 0.0051 max mem: 31630 Epoch: [8] [ 440/5278] eta: 3:56:29 lr: 4.080647497074551e-05 loss: 0.1285 (0.1315) loss_seg: 0.1272 (0.1304) loss_lansim: 0.0933 (0.0965) loss_contra: 0.0010 (0.0114) time: 2.9239 data: 0.0052 max mem: 31630 Epoch: [8] [ 450/5278] eta: 3:55:54 lr: 4.080429480770589e-05 loss: 0.1289 (0.1312) loss_seg: 0.1279 (0.1301) loss_lansim: 0.0937 (0.0965) loss_contra: 0.0011 (0.0115) time: 2.9207 data: 0.0052 max mem: 31630 Epoch: [8] [ 460/5278] eta: 3:55:27 lr: 4.080211463172336e-05 loss: 0.1263 (0.1309) loss_seg: 0.1253 (0.1298) loss_lansim: 0.0969 (0.0967) loss_contra: 0.0015 (0.0114) time: 2.9250 data: 0.0052 max mem: 31630 Epoch: [8] [ 470/5278] eta: 3:55:01 lr: 4.0799934442797066e-05 loss: 0.1256 (0.1313) loss_seg: 0.1245 (0.1302) loss_lansim: 0.0970 (0.0968) loss_contra: 0.0014 (0.0113) time: 2.9299 data: 0.0053 max mem: 31630 Epoch: [8] [ 480/5278] eta: 3:54:28 lr: 4.079775424092616e-05 loss: 0.1244 (0.1312) loss_seg: 0.1233 (0.1301) loss_lansim: 0.0985 (0.0968) loss_contra: 0.0015 (0.0112) time: 2.9259 data: 0.0053 max mem: 31630 Epoch: [8] [ 490/5278] eta: 3:53:58 lr: 4.0795574026109806e-05 loss: 0.1231 (0.1311) loss_seg: 0.1220 (0.1301) loss_lansim: 0.1002 (0.0970) loss_contra: 0.0016 (0.0112) time: 2.9271 data: 0.0054 max mem: 31630 Epoch: [8] [ 500/5278] eta: 3:53:31 lr: 4.0793393798347156e-05 loss: 0.1231 (0.1314) loss_seg: 0.1220 (0.1303) loss_lansim: 0.1007 (0.0972) loss_contra: 0.0016 (0.0111) time: 2.9285 data: 0.0054 max mem: 31630 Epoch: [8] [ 510/5278] eta: 3:53:02 lr: 4.079121355763736e-05 loss: 0.1195 (0.1312) loss_seg: 0.1186 (0.1302) loss_lansim: 0.1012 (0.0974) loss_contra: 0.0015 (0.0109) time: 2.9293 data: 0.0055 max mem: 31630 Epoch: [8] [ 520/5278] eta: 3:52:31 lr: 4.078903330397958e-05 loss: 0.1195 (0.1308) loss_seg: 0.1183 (0.1297) loss_lansim: 0.1019 (0.0975) loss_contra: 0.0014 (0.0108) time: 2.9324 data: 0.0056 max mem: 31630 Epoch: [8] [ 530/5278] eta: 3:52:02 lr: 4.0786853037372956e-05 loss: 0.1195 (0.1310) loss_seg: 0.1186 (0.1300) loss_lansim: 0.1019 (0.0976) loss_contra: 0.0015 (0.0108) time: 2.9306 data: 0.0056 max mem: 31630 Epoch: [8] [ 540/5278] eta: 3:51:33 lr: 4.0784672757816654e-05 loss: 0.1151 (0.1314) loss_seg: 0.1141 (0.1303) loss_lansim: 0.1024 (0.0979) loss_contra: 0.0015 (0.0108) time: 2.9297 data: 0.0056 max mem: 31630 Epoch: [8] [ 550/5278] eta: 3:51:07 lr: 4.078249246530983e-05 loss: 0.1154 (0.1312) loss_seg: 0.1144 (0.1302) loss_lansim: 0.1032 (0.0981) loss_contra: 0.0015 (0.0107) time: 2.9383 data: 0.0056 max mem: 31630 Epoch: [8] [ 560/5278] eta: 3:50:39 lr: 4.0780312159851623e-05 loss: 0.1182 (0.1310) loss_seg: 0.1172 (0.1299) loss_lansim: 0.1036 (0.0983) loss_contra: 0.0018 (0.0108) time: 2.9388 data: 0.0056 max mem: 31630 Epoch: [8] [ 570/5278] eta: 3:50:09 lr: 4.07781318414412e-05 loss: 0.1154 (0.1309) loss_seg: 0.1144 (0.1299) loss_lansim: 0.1059 (0.0985) loss_contra: 0.0018 (0.0107) time: 2.9340 data: 0.0057 max mem: 31630 Epoch: [8] [ 580/5278] eta: 3:49:36 lr: 4.0775951510077715e-05 loss: 0.1175 (0.1309) loss_seg: 0.1163 (0.1298) loss_lansim: 0.1038 (0.0985) loss_contra: 0.0018 (0.0106) time: 2.9334 data: 0.0057 max mem: 31630 Epoch: [8] [ 590/5278] eta: 3:49:09 lr: 4.077377116576031e-05 loss: 0.1248 (0.1319) loss_seg: 0.1238 (0.1308) loss_lansim: 0.1032 (0.0985) loss_contra: 0.0021 (0.0106) time: 2.9371 data: 0.0056 max mem: 31630 Epoch: [8] [ 600/5278] eta: 3:48:38 lr: 4.077159080848815e-05 loss: 0.1236 (0.1315) loss_seg: 0.1226 (0.1304) loss_lansim: 0.1019 (0.0984) loss_contra: 0.0020 (0.0105) time: 2.9335 data: 0.0057 max mem: 31630 Epoch: [8] [ 610/5278] eta: 3:48:08 lr: 4.076941043826039e-05 loss: 0.1252 (0.1317) loss_seg: 0.1239 (0.1306) loss_lansim: 0.1024 (0.0985) loss_contra: 0.0021 (0.0106) time: 2.9328 data: 0.0057 max mem: 31630 Epoch: [8] [ 620/5278] eta: 3:47:39 lr: 4.076723005507617e-05 loss: 0.1261 (0.1314) loss_seg: 0.1250 (0.1303) loss_lansim: 0.1024 (0.0985) loss_contra: 0.0023 (0.0105) time: 2.9330 data: 0.0057 max mem: 31630 Epoch: [8] [ 630/5278] eta: 3:47:08 lr: 4.076504965893465e-05 loss: 0.1252 (0.1314) loss_seg: 0.1239 (0.1303) loss_lansim: 0.1018 (0.0985) loss_contra: 0.0020 (0.0104) time: 2.9305 data: 0.0057 max mem: 31630 Epoch: [8] [ 640/5278] eta: 3:46:40 lr: 4.076286924983498e-05 loss: 0.1270 (0.1319) loss_seg: 0.1260 (0.1308) loss_lansim: 0.1018 (0.0987) loss_contra: 0.0016 (0.0103) time: 2.9333 data: 0.0057 max mem: 31630 Epoch: [8] [ 650/5278] eta: 3:46:11 lr: 4.0760688827776315e-05 loss: 0.1270 (0.1318) loss_seg: 0.1260 (0.1307) loss_lansim: 0.1015 (0.0988) loss_contra: 0.0015 (0.0102) time: 2.9304 data: 0.0057 max mem: 31630 Epoch: [8] [ 660/5278] eta: 3:45:39 lr: 4.0758508392757815e-05 loss: 0.1265 (0.1316) loss_seg: 0.1251 (0.1305) loss_lansim: 0.1014 (0.0989) loss_contra: 0.0012 (0.0101) time: 2.9232 data: 0.0056 max mem: 31630 Epoch: [8] [ 670/5278] eta: 3:45:12 lr: 4.075632794477862e-05 loss: 0.1261 (0.1314) loss_seg: 0.1250 (0.1303) loss_lansim: 0.1004 (0.0989) loss_contra: 0.0012 (0.0101) time: 2.9274 data: 0.0056 max mem: 31630 Epoch: [8] [ 680/5278] eta: 3:44:45 lr: 4.0754147483837896e-05 loss: 0.1261 (0.1313) loss_seg: 0.1250 (0.1302) loss_lansim: 0.1000 (0.0990) loss_contra: 0.0011 (0.0101) time: 2.9357 data: 0.0056 max mem: 31630 Epoch: [8] [ 690/5278] eta: 3:44:11 lr: 4.0751967009934784e-05 loss: 0.1222 (0.1315) loss_seg: 0.1212 (0.1304) loss_lansim: 0.0997 (0.0990) loss_contra: 0.0010 (0.0101) time: 2.9259 data: 0.0056 max mem: 31630 Epoch: [8] [ 700/5278] eta: 3:43:43 lr: 4.074978652306844e-05 loss: 0.1222 (0.1314) loss_seg: 0.1212 (0.1303) loss_lansim: 0.1012 (0.0990) loss_contra: 0.0011 (0.0100) time: 2.9296 data: 0.0056 max mem: 31630 Epoch: [8] [ 710/5278] eta: 3:43:16 lr: 4.0747606023238016e-05 loss: 0.1222 (0.1318) loss_seg: 0.1212 (0.1308) loss_lansim: 0.1000 (0.0990) loss_contra: 0.0011 (0.0101) time: 2.9335 data: 0.0055 max mem: 31630 Epoch: [8] [ 720/5278] eta: 3:42:47 lr: 4.074542551044267e-05 loss: 0.1237 (0.1319) loss_seg: 0.1227 (0.1308) loss_lansim: 0.1009 (0.0990) loss_contra: 0.0011 (0.0100) time: 2.9342 data: 0.0055 max mem: 31630 Epoch: [8] [ 730/5278] eta: 3:42:16 lr: 4.074324498468154e-05 loss: 0.1223 (0.1317) loss_seg: 0.1213 (0.1306) loss_lansim: 0.1009 (0.0990) loss_contra: 0.0012 (0.0099) time: 2.9346 data: 0.0055 max mem: 31630 Epoch: [8] [ 740/5278] eta: 3:41:47 lr: 4.074106444595379e-05 loss: 0.1209 (0.1318) loss_seg: 0.1200 (0.1307) loss_lansim: 0.1012 (0.0991) loss_contra: 0.0012 (0.0100) time: 2.9324 data: 0.0056 max mem: 31630 Epoch: [8] [ 750/5278] eta: 3:41:18 lr: 4.073888389425857e-05 loss: 0.1209 (0.1319) loss_seg: 0.1200 (0.1308) loss_lansim: 0.1012 (0.0992) loss_contra: 0.0016 (0.0099) time: 2.9319 data: 0.0056 max mem: 31630 Epoch: [8] [ 760/5278] eta: 3:40:46 lr: 4.073670332959503e-05 loss: 0.1209 (0.1319) loss_seg: 0.1200 (0.1308) loss_lansim: 0.0991 (0.0991) loss_contra: 0.0016 (0.0098) time: 2.9327 data: 0.0056 max mem: 31630 Epoch: [8] [ 770/5278] eta: 3:40:17 lr: 4.0734522751962316e-05 loss: 0.1241 (0.1321) loss_seg: 0.1231 (0.1310) loss_lansim: 0.0989 (0.0991) loss_contra: 0.0016 (0.0099) time: 2.9295 data: 0.0055 max mem: 31630 Epoch: [8] [ 780/5278] eta: 3:39:47 lr: 4.0732342161359585e-05 loss: 0.1241 (0.1319) loss_seg: 0.1231 (0.1309) loss_lansim: 0.0989 (0.0991) loss_contra: 0.0016 (0.0098) time: 2.9254 data: 0.0055 max mem: 31630 Epoch: [8] [ 790/5278] eta: 3:39:17 lr: 4.0730161557785994e-05 loss: 0.1238 (0.1320) loss_seg: 0.1227 (0.1309) loss_lansim: 0.0996 (0.0992) loss_contra: 0.0017 (0.0098) time: 2.9315 data: 0.0055 max mem: 31630 Epoch: [8] [ 800/5278] eta: 3:38:48 lr: 4.072798094124068e-05 loss: 0.1241 (0.1320) loss_seg: 0.1231 (0.1309) loss_lansim: 0.1005 (0.0992) loss_contra: 0.0025 (0.0098) time: 2.9288 data: 0.0055 max mem: 31630 Epoch: [8] [ 810/5278] eta: 3:38:17 lr: 4.0725800311722825e-05 loss: 0.1233 (0.1321) loss_seg: 0.1222 (0.1310) loss_lansim: 0.1006 (0.0993) loss_contra: 0.0019 (0.0097) time: 2.9219 data: 0.0056 max mem: 31630 Epoch: [8] [ 820/5278] eta: 3:37:47 lr: 4.072361966923153e-05 loss: 0.1225 (0.1319) loss_seg: 0.1214 (0.1308) loss_lansim: 0.1015 (0.0994) loss_contra: 0.0024 (0.0097) time: 2.9214 data: 0.0056 max mem: 31630 Epoch: [8] [ 830/5278] eta: 3:37:18 lr: 4.0721439013765986e-05 loss: 0.1202 (0.1317) loss_seg: 0.1191 (0.1306) loss_lansim: 0.1018 (0.0995) loss_contra: 0.0019 (0.0097) time: 2.9229 data: 0.0056 max mem: 31630 Epoch: [8] [ 840/5278] eta: 3:36:46 lr: 4.071925834532534e-05 loss: 0.1145 (0.1313) loss_seg: 0.1134 (0.1302) loss_lansim: 0.1018 (0.0995) loss_contra: 0.0025 (0.0098) time: 2.9172 data: 0.0055 max mem: 31630 Epoch: [8] [ 850/5278] eta: 3:36:15 lr: 4.071707766390873e-05 loss: 0.1117 (0.1309) loss_seg: 0.1106 (0.1298) loss_lansim: 0.1010 (0.0995) loss_contra: 0.0025 (0.0098) time: 2.9150 data: 0.0055 max mem: 31630 Epoch: [8] [ 860/5278] eta: 3:35:48 lr: 4.0714896969515295e-05 loss: 0.1117 (0.1311) loss_seg: 0.1108 (0.1300) loss_lansim: 0.1018 (0.0995) loss_contra: 0.0024 (0.0098) time: 2.9219 data: 0.0055 max mem: 31630 Epoch: [8] [ 870/5278] eta: 3:35:16 lr: 4.071271626214421e-05 loss: 0.1105 (0.1308) loss_seg: 0.1093 (0.1298) loss_lansim: 0.1018 (0.0995) loss_contra: 0.0020 (0.0097) time: 2.9172 data: 0.0056 max mem: 31630 Epoch: [8] [ 880/5278] eta: 3:34:48 lr: 4.071053554179462e-05 loss: 0.1105 (0.1307) loss_seg: 0.1093 (0.1296) loss_lansim: 0.1020 (0.0996) loss_contra: 0.0024 (0.0097) time: 2.9191 data: 0.0056 max mem: 31630 Epoch: [8] [ 890/5278] eta: 3:34:21 lr: 4.070835480846568e-05 loss: 0.1130 (0.1310) loss_seg: 0.1119 (0.1299) loss_lansim: 0.1032 (0.0997) loss_contra: 0.0020 (0.0096) time: 2.9248 data: 0.0057 max mem: 31630 Epoch: [8] [ 900/5278] eta: 3:33:52 lr: 4.070617406215652e-05 loss: 0.1164 (0.1311) loss_seg: 0.1152 (0.1300) loss_lansim: 0.1028 (0.0997) loss_contra: 0.0016 (0.0096) time: 2.9251 data: 0.0057 max mem: 31630 Epoch: [8] [ 910/5278] eta: 3:33:20 lr: 4.07039933028663e-05 loss: 0.1168 (0.1311) loss_seg: 0.1158 (0.1300) loss_lansim: 0.1020 (0.0998) loss_contra: 0.0016 (0.0095) time: 2.9248 data: 0.0057 max mem: 31630 Epoch: [8] [ 920/5278] eta: 3:32:53 lr: 4.070181253059419e-05 loss: 0.1168 (0.1309) loss_seg: 0.1158 (0.1298) loss_lansim: 0.1008 (0.0998) loss_contra: 0.0015 (0.0094) time: 2.9290 data: 0.0056 max mem: 31630 Epoch: [8] [ 930/5278] eta: 3:32:21 lr: 4.06996317453393e-05 loss: 0.1187 (0.1308) loss_seg: 0.1176 (0.1297) loss_lansim: 0.0997 (0.0998) loss_contra: 0.0015 (0.0094) time: 2.9242 data: 0.0056 max mem: 31630 Epoch: [8] [ 940/5278] eta: 3:31:51 lr: 4.0697450947100814e-05 loss: 0.1205 (0.1308) loss_seg: 0.1194 (0.1297) loss_lansim: 0.0997 (0.0998) loss_contra: 0.0015 (0.0096) time: 2.9260 data: 0.0056 max mem: 31630 Epoch: [8] [ 950/5278] eta: 3:31:21 lr: 4.069527013587787e-05 loss: 0.1217 (0.1311) loss_seg: 0.1207 (0.1300) loss_lansim: 0.0996 (0.0998) loss_contra: 0.0015 (0.0095) time: 2.9271 data: 0.0056 max mem: 31630 Epoch: [8] [ 960/5278] eta: 3:30:51 lr: 4.069308931166961e-05 loss: 0.1217 (0.1311) loss_seg: 0.1207 (0.1300) loss_lansim: 0.0996 (0.0999) loss_contra: 0.0015 (0.0096) time: 2.9226 data: 0.0056 max mem: 31630 Epoch: [8] [ 970/5278] eta: 3:30:19 lr: 4.06909084744752e-05 loss: 0.1296 (0.1311) loss_seg: 0.1285 (0.1300) loss_lansim: 0.1020 (0.1000) loss_contra: 0.0018 (0.0096) time: 2.9222 data: 0.0056 max mem: 31630 Epoch: [8] [ 980/5278] eta: 3:29:49 lr: 4.068872762429377e-05 loss: 0.1258 (0.1310) loss_seg: 0.1246 (0.1299) loss_lansim: 0.1014 (0.0999) loss_contra: 0.0017 (0.0096) time: 2.9171 data: 0.0056 max mem: 31630 Epoch: [8] [ 990/5278] eta: 3:29:18 lr: 4.0686546761124484e-05 loss: 0.1203 (0.1307) loss_seg: 0.1192 (0.1296) loss_lansim: 0.0997 (0.1000) loss_contra: 0.0021 (0.0096) time: 2.9088 data: 0.0056 max mem: 31630 Epoch: [8] [1000/5278] eta: 3:28:47 lr: 4.068436588496648e-05 loss: 0.1187 (0.1306) loss_seg: 0.1176 (0.1295) loss_lansim: 0.1014 (0.1000) loss_contra: 0.0021 (0.0095) time: 2.9048 data: 0.0056 max mem: 31630 Epoch: [8] [1010/5278] eta: 3:28:18 lr: 4.068218499581892e-05 loss: 0.1162 (0.1304) loss_seg: 0.1151 (0.1293) loss_lansim: 0.1016 (0.1000) loss_contra: 0.0021 (0.0095) time: 2.9074 data: 0.0057 max mem: 31630 Epoch: [8] [1020/5278] eta: 3:27:45 lr: 4.0680004093680944e-05 loss: 0.1162 (0.1303) loss_seg: 0.1151 (0.1292) loss_lansim: 0.1012 (0.1000) loss_contra: 0.0019 (0.0094) time: 2.8960 data: 0.0058 max mem: 31630 Epoch: [8] [1030/5278] eta: 3:27:15 lr: 4.067782317855171e-05 loss: 0.1135 (0.1300) loss_seg: 0.1125 (0.1289) loss_lansim: 0.1020 (0.1000) loss_contra: 0.0015 (0.0094) time: 2.8974 data: 0.0059 max mem: 31630 Epoch: [8] [1040/5278] eta: 3:26:45 lr: 4.067564225043035e-05 loss: 0.1149 (0.1302) loss_seg: 0.1139 (0.1291) loss_lansim: 0.1014 (0.1000) loss_contra: 0.0015 (0.0097) time: 2.9001 data: 0.0060 max mem: 31630 Epoch: [8] [1050/5278] eta: 3:26:16 lr: 4.0673461309316025e-05 loss: 0.1162 (0.1305) loss_seg: 0.1151 (0.1294) loss_lansim: 0.1015 (0.1001) loss_contra: 0.0014 (0.0096) time: 2.9000 data: 0.0060 max mem: 31630 Epoch: [8] [1060/5278] eta: 3:25:45 lr: 4.067128035520788e-05 loss: 0.1124 (0.1301) loss_seg: 0.1113 (0.1290) loss_lansim: 0.1024 (0.1001) loss_contra: 0.0014 (0.0096) time: 2.8981 data: 0.0061 max mem: 31630 Epoch: [8] [1070/5278] eta: 3:25:15 lr: 4.0669099388105066e-05 loss: 0.1135 (0.1302) loss_seg: 0.1125 (0.1291) loss_lansim: 0.1028 (0.1002) loss_contra: 0.0013 (0.0097) time: 2.9010 data: 0.0062 max mem: 31630 Epoch: [8] [1080/5278] eta: 3:24:46 lr: 4.066691840800673e-05 loss: 0.1137 (0.1303) loss_seg: 0.1125 (0.1292) loss_lansim: 0.1038 (0.1003) loss_contra: 0.0014 (0.0097) time: 2.9030 data: 0.0062 max mem: 31630 Epoch: [8] [1090/5278] eta: 3:24:17 lr: 4.066473741491201e-05 loss: 0.1168 (0.1306) loss_seg: 0.1158 (0.1295) loss_lansim: 0.1056 (0.1004) loss_contra: 0.0015 (0.0097) time: 2.9063 data: 0.0064 max mem: 31630 Epoch: [8] [1100/5278] eta: 3:23:50 lr: 4.066255640882007e-05 loss: 0.1195 (0.1307) loss_seg: 0.1182 (0.1296) loss_lansim: 0.1042 (0.1004) loss_contra: 0.0015 (0.0097) time: 2.9161 data: 0.0063 max mem: 31630 Epoch: [8] [1110/5278] eta: 3:23:22 lr: 4.066037538973006e-05 loss: 0.1249 (0.1307) loss_seg: 0.1239 (0.1296) loss_lansim: 0.1050 (0.1004) loss_contra: 0.0014 (0.0097) time: 2.9207 data: 0.0063 max mem: 31630 Epoch: [8] [1120/5278] eta: 3:22:52 lr: 4.06581943576411e-05 loss: 0.1280 (0.1307) loss_seg: 0.1269 (0.1296) loss_lansim: 0.1056 (0.1005) loss_contra: 0.0015 (0.0097) time: 2.9254 data: 0.0062 max mem: 31630 Epoch: [8] [1130/5278] eta: 3:22:21 lr: 4.065601331255238e-05 loss: 0.1297 (0.1308) loss_seg: 0.1286 (0.1297) loss_lansim: 0.1041 (0.1005) loss_contra: 0.0019 (0.0098) time: 2.9261 data: 0.0062 max mem: 31630 Epoch: [8] [1140/5278] eta: 3:21:52 lr: 4.065383225446301e-05 loss: 0.1301 (0.1308) loss_seg: 0.1290 (0.1297) loss_lansim: 0.1050 (0.1006) loss_contra: 0.0018 (0.0099) time: 2.9248 data: 0.0061 max mem: 31630 Epoch: [8] [1150/5278] eta: 3:21:23 lr: 4.065165118337216e-05 loss: 0.1290 (0.1309) loss_seg: 0.1280 (0.1298) loss_lansim: 0.1063 (0.1007) loss_contra: 0.0017 (0.0098) time: 2.9277 data: 0.0061 max mem: 31630 Epoch: [8] [1160/5278] eta: 3:20:54 lr: 4.064947009927896e-05 loss: 0.1319 (0.1309) loss_seg: 0.1308 (0.1298) loss_lansim: 0.1065 (0.1009) loss_contra: 0.0019 (0.0098) time: 2.9320 data: 0.0061 max mem: 31630 Epoch: [8] [1170/5278] eta: 3:20:27 lr: 4.064728900218257e-05 loss: 0.1301 (0.1309) loss_seg: 0.1290 (0.1298) loss_lansim: 0.1062 (0.1010) loss_contra: 0.0020 (0.0099) time: 2.9386 data: 0.0061 max mem: 31630 Epoch: [8] [1180/5278] eta: 3:19:56 lr: 4.064510789208214e-05 loss: 0.1319 (0.1312) loss_seg: 0.1308 (0.1301) loss_lansim: 0.1062 (0.1011) loss_contra: 0.0021 (0.0100) time: 2.9347 data: 0.0060 max mem: 31630 Epoch: [8] [1190/5278] eta: 3:19:27 lr: 4.064292676897681e-05 loss: 0.1319 (0.1313) loss_seg: 0.1308 (0.1302) loss_lansim: 0.1056 (0.1011) loss_contra: 0.0018 (0.0101) time: 2.9351 data: 0.0059 max mem: 31630 Epoch: [8] [1200/5278] eta: 3:18:57 lr: 4.0640745632865723e-05 loss: 0.1331 (0.1314) loss_seg: 0.1321 (0.1303) loss_lansim: 0.1065 (0.1012) loss_contra: 0.0019 (0.0101) time: 2.9268 data: 0.0059 max mem: 31630 Epoch: [8] [1210/5278] eta: 3:18:28 lr: 4.0638564483748033e-05 loss: 0.1331 (0.1314) loss_seg: 0.1321 (0.1303) loss_lansim: 0.1083 (0.1012) loss_contra: 0.0022 (0.0102) time: 2.9244 data: 0.0059 max mem: 31630 Epoch: [8] [1220/5278] eta: 3:18:00 lr: 4.063638332162288e-05 loss: 0.1319 (0.1314) loss_seg: 0.1308 (0.1303) loss_lansim: 0.1086 (0.1013) loss_contra: 0.0029 (0.0102) time: 2.9299 data: 0.0058 max mem: 31630 Epoch: [8] [1230/5278] eta: 3:17:30 lr: 4.0634202146489425e-05 loss: 0.1290 (0.1315) loss_seg: 0.1279 (0.1304) loss_lansim: 0.1095 (0.1013) loss_contra: 0.0033 (0.0103) time: 2.9304 data: 0.0058 max mem: 31630 Epoch: [8] [1240/5278] eta: 3:17:00 lr: 4.06320209583468e-05 loss: 0.1275 (0.1315) loss_seg: 0.1261 (0.1304) loss_lansim: 0.1090 (0.1013) loss_contra: 0.0037 (0.0104) time: 2.9314 data: 0.0058 max mem: 31630 Epoch: [8] [1250/5278] eta: 3:16:33 lr: 4.0629839757194155e-05 loss: 0.1237 (0.1312) loss_seg: 0.1223 (0.1301) loss_lansim: 0.1059 (0.1012) loss_contra: 0.0037 (0.0104) time: 2.9336 data: 0.0058 max mem: 31630 Epoch: [8] [1260/5278] eta: 3:16:04 lr: 4.062765854303064e-05 loss: 0.1234 (0.1313) loss_seg: 0.1223 (0.1302) loss_lansim: 0.1048 (0.1012) loss_contra: 0.0035 (0.0104) time: 2.9352 data: 0.0058 max mem: 31630 Epoch: [8] [1270/5278] eta: 3:15:34 lr: 4.0625477315855404e-05 loss: 0.1240 (0.1316) loss_seg: 0.1228 (0.1305) loss_lansim: 0.1050 (0.1013) loss_contra: 0.0035 (0.0105) time: 2.9270 data: 0.0058 max mem: 31630 Epoch: [8] [1280/5278] eta: 3:15:05 lr: 4.0623296075667585e-05 loss: 0.1246 (0.1316) loss_seg: 0.1235 (0.1305) loss_lansim: 0.1050 (0.1014) loss_contra: 0.0033 (0.0105) time: 2.9350 data: 0.0057 max mem: 31630 Epoch: [8] [1290/5278] eta: 3:14:36 lr: 4.062111482246633e-05 loss: 0.1233 (0.1315) loss_seg: 0.1221 (0.1304) loss_lansim: 0.1050 (0.1015) loss_contra: 0.0029 (0.0104) time: 2.9354 data: 0.0057 max mem: 31630 Epoch: [8] [1300/5278] eta: 3:14:07 lr: 4.061893355625078e-05 loss: 0.1189 (0.1314) loss_seg: 0.1176 (0.1303) loss_lansim: 0.1050 (0.1015) loss_contra: 0.0033 (0.0105) time: 2.9372 data: 0.0057 max mem: 31630 Epoch: [8] [1310/5278] eta: 3:13:39 lr: 4.06167522770201e-05 loss: 0.1232 (0.1315) loss_seg: 0.1220 (0.1303) loss_lansim: 0.1051 (0.1016) loss_contra: 0.0034 (0.0107) time: 2.9394 data: 0.0058 max mem: 31630 Epoch: [8] [1320/5278] eta: 3:13:09 lr: 4.061457098477342e-05 loss: 0.1233 (0.1316) loss_seg: 0.1221 (0.1305) loss_lansim: 0.1063 (0.1017) loss_contra: 0.0036 (0.0107) time: 2.9336 data: 0.0058 max mem: 31630 Epoch: [8] [1330/5278] eta: 3:12:40 lr: 4.061238967950989e-05 loss: 0.1232 (0.1316) loss_seg: 0.1220 (0.1304) loss_lansim: 0.1077 (0.1018) loss_contra: 0.0021 (0.0108) time: 2.9376 data: 0.0058 max mem: 31630 Epoch: [8] [1340/5278] eta: 3:12:12 lr: 4.061020836122866e-05 loss: 0.1193 (0.1315) loss_seg: 0.1178 (0.1304) loss_lansim: 0.1082 (0.1018) loss_contra: 0.0021 (0.0107) time: 2.9423 data: 0.0058 max mem: 31630 Epoch: [8] [1350/5278] eta: 3:11:42 lr: 4.060802702992886e-05 loss: 0.1232 (0.1318) loss_seg: 0.1220 (0.1307) loss_lansim: 0.1099 (0.1019) loss_contra: 0.0021 (0.0108) time: 2.9361 data: 0.0058 max mem: 31630 Epoch: [8] [1360/5278] eta: 3:11:12 lr: 4.060584568560965e-05 loss: 0.1232 (0.1318) loss_seg: 0.1220 (0.1307) loss_lansim: 0.1123 (0.1020) loss_contra: 0.0033 (0.0112) time: 2.9289 data: 0.0059 max mem: 31630 Epoch: [8] [1370/5278] eta: 3:10:44 lr: 4.060366432827017e-05 loss: 0.1237 (0.1320) loss_seg: 0.1225 (0.1308) loss_lansim: 0.1123 (0.1020) loss_contra: 0.0036 (0.0117) time: 2.9377 data: 0.0059 max mem: 31630 Epoch: [8] [1380/5278] eta: 3:10:15 lr: 4.060148295790956e-05 loss: 0.1234 (0.1320) loss_seg: 0.1224 (0.1308) loss_lansim: 0.1123 (0.1021) loss_contra: 0.0055 (0.0120) time: 2.9363 data: 0.0059 max mem: 31630 Epoch: [8] [1390/5278] eta: 3:09:45 lr: 4.0599301574526983e-05 loss: 0.1242 (0.1320) loss_seg: 0.1228 (0.1308) loss_lansim: 0.1106 (0.1021) loss_contra: 0.0058 (0.0121) time: 2.9342 data: 0.0060 max mem: 31630 Epoch: [8] [1400/5278] eta: 3:09:16 lr: 4.059712017812156e-05 loss: 0.1277 (0.1320) loss_seg: 0.1265 (0.1308) loss_lansim: 0.1105 (0.1021) loss_contra: 0.0058 (0.0122) time: 2.9331 data: 0.0060 max mem: 31630 Epoch: [8] [1410/5278] eta: 3:08:46 lr: 4.059493876869245e-05 loss: 0.1242 (0.1318) loss_seg: 0.1228 (0.1307) loss_lansim: 0.1099 (0.1022) loss_contra: 0.0057 (0.0122) time: 2.9288 data: 0.0059 max mem: 31630 Epoch: [8] [1420/5278] eta: 3:08:18 lr: 4.05927573462388e-05 loss: 0.1242 (0.1319) loss_seg: 0.1228 (0.1307) loss_lansim: 0.1091 (0.1023) loss_contra: 0.0056 (0.0122) time: 2.9354 data: 0.0059 max mem: 31630 Epoch: [8] [1430/5278] eta: 3:07:49 lr: 4.0590575910759744e-05 loss: 0.1281 (0.1320) loss_seg: 0.1271 (0.1308) loss_lansim: 0.1076 (0.1023) loss_contra: 0.0045 (0.0122) time: 2.9366 data: 0.0059 max mem: 31630 Epoch: [8] [1440/5278] eta: 3:07:22 lr: 4.058839446225444e-05 loss: 0.1324 (0.1321) loss_seg: 0.1313 (0.1310) loss_lansim: 0.1078 (0.1023) loss_contra: 0.0040 (0.0123) time: 2.9374 data: 0.0059 max mem: 31630 Epoch: [8] [1450/5278] eta: 3:06:51 lr: 4.0586213000722014e-05 loss: 0.1319 (0.1320) loss_seg: 0.1309 (0.1309) loss_lansim: 0.1091 (0.1024) loss_contra: 0.0043 (0.0123) time: 2.9332 data: 0.0059 max mem: 31630 Epoch: [8] [1460/5278] eta: 3:06:22 lr: 4.058403152616163e-05 loss: 0.1324 (0.1321) loss_seg: 0.1313 (0.1310) loss_lansim: 0.1083 (0.1025) loss_contra: 0.0050 (0.0126) time: 2.9401 data: 0.0059 max mem: 31630 Epoch: [8] [1470/5278] eta: 3:05:52 lr: 4.058185003857242e-05 loss: 0.1281 (0.1321) loss_seg: 0.1265 (0.1309) loss_lansim: 0.1091 (0.1026) loss_contra: 0.0046 (0.0129) time: 2.9331 data: 0.0058 max mem: 31630 Epoch: [8] [1480/5278] eta: 3:05:23 lr: 4.057966853795352e-05 loss: 0.1261 (0.1320) loss_seg: 0.1251 (0.1308) loss_lansim: 0.1083 (0.1026) loss_contra: 0.0043 (0.0131) time: 2.9330 data: 0.0058 max mem: 31630 Epoch: [8] [1490/5278] eta: 3:04:55 lr: 4.057748702430409e-05 loss: 0.1261 (0.1319) loss_seg: 0.1251 (0.1308) loss_lansim: 0.1079 (0.1026) loss_contra: 0.0039 (0.0131) time: 2.9374 data: 0.0058 max mem: 31630 Epoch: [8] [1500/5278] eta: 3:04:25 lr: 4.0575305497623276e-05 loss: 0.1256 (0.1319) loss_seg: 0.1244 (0.1307) loss_lansim: 0.1079 (0.1026) loss_contra: 0.0038 (0.0131) time: 2.9364 data: 0.0058 max mem: 31630 Epoch: [8] [1510/5278] eta: 3:03:55 lr: 4.0573123957910206e-05 loss: 0.1304 (0.1318) loss_seg: 0.1292 (0.1307) loss_lansim: 0.1078 (0.1026) loss_contra: 0.0036 (0.0131) time: 2.9357 data: 0.0058 max mem: 31630 Epoch: [8] [1520/5278] eta: 3:03:26 lr: 4.057094240516403e-05 loss: 0.1256 (0.1317) loss_seg: 0.1244 (0.1306) loss_lansim: 0.1072 (0.1026) loss_contra: 0.0040 (0.0131) time: 2.9341 data: 0.0058 max mem: 31630 Epoch: [8] [1530/5278] eta: 3:02:56 lr: 4.0568760839383895e-05 loss: 0.1224 (0.1317) loss_seg: 0.1213 (0.1305) loss_lansim: 0.1080 (0.1027) loss_contra: 0.0050 (0.0132) time: 2.9273 data: 0.0058 max mem: 31630 Epoch: [8] [1540/5278] eta: 3:02:28 lr: 4.0566579260568946e-05 loss: 0.1228 (0.1319) loss_seg: 0.1219 (0.1307) loss_lansim: 0.1080 (0.1028) loss_contra: 0.0050 (0.0131) time: 2.9260 data: 0.0058 max mem: 31630 Epoch: [8] [1550/5278] eta: 3:01:59 lr: 4.0564397668718315e-05 loss: 0.1256 (0.1321) loss_seg: 0.1244 (0.1310) loss_lansim: 0.1080 (0.1028) loss_contra: 0.0050 (0.0134) time: 2.9354 data: 0.0057 max mem: 31630 Epoch: [8] [1560/5278] eta: 3:01:29 lr: 4.056221606383116e-05 loss: 0.1256 (0.1322) loss_seg: 0.1232 (0.1311) loss_lansim: 0.1082 (0.1029) loss_contra: 0.0050 (0.0137) time: 2.9296 data: 0.0057 max mem: 31630 Epoch: [8] [1570/5278] eta: 3:00:59 lr: 4.0560034445906615e-05 loss: 0.1283 (0.1322) loss_seg: 0.1261 (0.1310) loss_lansim: 0.1093 (0.1030) loss_contra: 0.0036 (0.0136) time: 2.9287 data: 0.0057 max mem: 31630 Epoch: [8] [1580/5278] eta: 3:00:31 lr: 4.055785281494382e-05 loss: 0.1294 (0.1323) loss_seg: 0.1261 (0.1311) loss_lansim: 0.1112 (0.1031) loss_contra: 0.0043 (0.0136) time: 2.9297 data: 0.0057 max mem: 31630 Epoch: [8] [1590/5278] eta: 3:00:00 lr: 4.0555671170941924e-05 loss: 0.1307 (0.1323) loss_seg: 0.1297 (0.1311) loss_lansim: 0.1112 (0.1031) loss_contra: 0.0050 (0.0136) time: 2.9200 data: 0.0057 max mem: 31630 Epoch: [8] [1600/5278] eta: 2:59:31 lr: 4.055348951390007e-05 loss: 0.1352 (0.1324) loss_seg: 0.1342 (0.1312) loss_lansim: 0.1112 (0.1032) loss_contra: 0.0044 (0.0136) time: 2.9240 data: 0.0057 max mem: 31630 Epoch: [8] [1610/5278] eta: 2:59:03 lr: 4.055130784381739e-05 loss: 0.1383 (0.1326) loss_seg: 0.1372 (0.1314) loss_lansim: 0.1113 (0.1032) loss_contra: 0.0045 (0.0136) time: 2.9303 data: 0.0057 max mem: 31630 Epoch: [8] [1620/5278] eta: 2:58:33 lr: 4.0549126160693045e-05 loss: 0.1352 (0.1325) loss_seg: 0.1342 (0.1313) loss_lansim: 0.1113 (0.1033) loss_contra: 0.0044 (0.0136) time: 2.9243 data: 0.0057 max mem: 31630 Epoch: [8] [1630/5278] eta: 2:58:03 lr: 4.0546944464526174e-05 loss: 0.1393 (0.1327) loss_seg: 0.1381 (0.1315) loss_lansim: 0.1124 (0.1034) loss_contra: 0.0032 (0.0136) time: 2.9279 data: 0.0057 max mem: 31630 Epoch: [8] [1640/5278] eta: 2:57:34 lr: 4.0544762755315896e-05 loss: 0.1352 (0.1329) loss_seg: 0.1342 (0.1317) loss_lansim: 0.1142 (0.1035) loss_contra: 0.0031 (0.0135) time: 2.9259 data: 0.0057 max mem: 31630 Epoch: [8] [1650/5278] eta: 2:57:05 lr: 4.054258103306138e-05 loss: 0.1316 (0.1329) loss_seg: 0.1305 (0.1317) loss_lansim: 0.1124 (0.1035) loss_contra: 0.0041 (0.0136) time: 2.9225 data: 0.0057 max mem: 31630 Epoch: [8] [1660/5278] eta: 2:56:35 lr: 4.054039929776175e-05 loss: 0.1298 (0.1328) loss_seg: 0.1287 (0.1316) loss_lansim: 0.1121 (0.1036) loss_contra: 0.0037 (0.0136) time: 2.9228 data: 0.0057 max mem: 31630 Epoch: [8] [1670/5278] eta: 2:56:07 lr: 4.0538217549416155e-05 loss: 0.1317 (0.1329) loss_seg: 0.1305 (0.1317) loss_lansim: 0.1121 (0.1037) loss_contra: 0.0045 (0.0137) time: 2.9304 data: 0.0057 max mem: 31630 Epoch: [8] [1680/5278] eta: 2:55:38 lr: 4.053603578802375e-05 loss: 0.1326 (0.1329) loss_seg: 0.1314 (0.1317) loss_lansim: 0.1120 (0.1038) loss_contra: 0.0045 (0.0138) time: 2.9290 data: 0.0057 max mem: 31630 Epoch: [8] [1690/5278] eta: 2:55:07 lr: 4.053385401358365e-05 loss: 0.1326 (0.1329) loss_seg: 0.1314 (0.1317) loss_lansim: 0.1150 (0.1038) loss_contra: 0.0036 (0.0138) time: 2.9306 data: 0.0057 max mem: 31630 Epoch: [8] [1700/5278] eta: 2:54:38 lr: 4.053167222609502e-05 loss: 0.1270 (0.1328) loss_seg: 0.1256 (0.1316) loss_lansim: 0.1134 (0.1039) loss_contra: 0.0048 (0.0138) time: 2.9279 data: 0.0057 max mem: 31630 Epoch: [8] [1710/5278] eta: 2:54:09 lr: 4.0529490425556994e-05 loss: 0.1270 (0.1328) loss_seg: 0.1256 (0.1316) loss_lansim: 0.1150 (0.1040) loss_contra: 0.0051 (0.0138) time: 2.9255 data: 0.0057 max mem: 31630 Epoch: [8] [1720/5278] eta: 2:53:40 lr: 4.05273086119687e-05 loss: 0.1281 (0.1328) loss_seg: 0.1270 (0.1317) loss_lansim: 0.1150 (0.1041) loss_contra: 0.0048 (0.0138) time: 2.9282 data: 0.0057 max mem: 31630 Epoch: [8] [1730/5278] eta: 2:53:10 lr: 4.052512678532931e-05 loss: 0.1280 (0.1329) loss_seg: 0.1268 (0.1317) loss_lansim: 0.1151 (0.1042) loss_contra: 0.0055 (0.0138) time: 2.9263 data: 0.0057 max mem: 31630 Epoch: [8] [1740/5278] eta: 2:52:40 lr: 4.0522944945637935e-05 loss: 0.1282 (0.1330) loss_seg: 0.1272 (0.1318) loss_lansim: 0.1164 (0.1043) loss_contra: 0.0055 (0.0138) time: 2.9219 data: 0.0057 max mem: 31630 Epoch: [8] [1750/5278] eta: 2:52:10 lr: 4.052076309289373e-05 loss: 0.1304 (0.1330) loss_seg: 0.1291 (0.1318) loss_lansim: 0.1187 (0.1045) loss_contra: 0.0050 (0.0140) time: 2.9206 data: 0.0058 max mem: 31630 Epoch: [8] [1760/5278] eta: 2:51:42 lr: 4.051858122709584e-05 loss: 0.1304 (0.1330) loss_seg: 0.1291 (0.1318) loss_lansim: 0.1216 (0.1047) loss_contra: 0.0049 (0.0140) time: 2.9267 data: 0.0057 max mem: 31630 Epoch: [8] [1770/5278] eta: 2:51:12 lr: 4.051639934824338e-05 loss: 0.1289 (0.1330) loss_seg: 0.1278 (0.1318) loss_lansim: 0.1235 (0.1049) loss_contra: 0.0044 (0.0139) time: 2.9209 data: 0.0057 max mem: 31630 Epoch: [8] [1780/5278] eta: 2:50:44 lr: 4.051421745633552e-05 loss: 0.1304 (0.1330) loss_seg: 0.1291 (0.1318) loss_lansim: 0.1250 (0.1050) loss_contra: 0.0034 (0.0138) time: 2.9230 data: 0.0057 max mem: 31630 Epoch: [8] [1790/5278] eta: 2:50:15 lr: 4.05120355513714e-05 loss: 0.1289 (0.1330) loss_seg: 0.1278 (0.1318) loss_lansim: 0.1281 (0.1052) loss_contra: 0.0038 (0.0138) time: 2.9311 data: 0.0057 max mem: 31630 Epoch: [8] [1800/5278] eta: 2:49:45 lr: 4.050985363335014e-05 loss: 0.1292 (0.1329) loss_seg: 0.1278 (0.1318) loss_lansim: 0.1298 (0.1053) loss_contra: 0.0029 (0.0138) time: 2.9275 data: 0.0058 max mem: 31630 Epoch: [8] [1810/5278] eta: 2:49:15 lr: 4.05076717022709e-05 loss: 0.1278 (0.1329) loss_seg: 0.1264 (0.1317) loss_lansim: 0.1322 (0.1055) loss_contra: 0.0024 (0.0137) time: 2.9248 data: 0.0058 max mem: 31630 Epoch: [8] [1820/5278] eta: 2:48:47 lr: 4.0505489758132804e-05 loss: 0.1242 (0.1328) loss_seg: 0.1227 (0.1316) loss_lansim: 0.1336 (0.1057) loss_contra: 0.0022 (0.0137) time: 2.9309 data: 0.0057 max mem: 31630 Epoch: [8] [1830/5278] eta: 2:48:18 lr: 4.0503307800935e-05 loss: 0.1225 (0.1329) loss_seg: 0.1210 (0.1317) loss_lansim: 0.1349 (0.1059) loss_contra: 0.0022 (0.0136) time: 2.9351 data: 0.0057 max mem: 31630 Epoch: [8] [1840/5278] eta: 2:47:49 lr: 4.050112583067664e-05 loss: 0.1199 (0.1328) loss_seg: 0.1184 (0.1316) loss_lansim: 0.1362 (0.1060) loss_contra: 0.0020 (0.0136) time: 2.9382 data: 0.0058 max mem: 31630 Epoch: [8] [1850/5278] eta: 2:47:20 lr: 4.049894384735684e-05 loss: 0.1200 (0.1330) loss_seg: 0.1184 (0.1318) loss_lansim: 0.1360 (0.1062) loss_contra: 0.0013 (0.0135) time: 2.9390 data: 0.0058 max mem: 31630 Epoch: [8] [1860/5278] eta: 2:46:50 lr: 4.0496761850974756e-05 loss: 0.1225 (0.1330) loss_seg: 0.1210 (0.1318) loss_lansim: 0.1353 (0.1064) loss_contra: 0.0011 (0.0135) time: 2.9337 data: 0.0058 max mem: 31630 Epoch: [8] [1870/5278] eta: 2:46:21 lr: 4.049457984152952e-05 loss: 0.1275 (0.1330) loss_seg: 0.1261 (0.1318) loss_lansim: 0.1349 (0.1065) loss_contra: 0.0012 (0.0134) time: 2.9390 data: 0.0058 max mem: 31630 Epoch: [8] [1880/5278] eta: 2:45:52 lr: 4.0492397819020284e-05 loss: 0.1225 (0.1330) loss_seg: 0.1210 (0.1318) loss_lansim: 0.1349 (0.1066) loss_contra: 0.0009 (0.0134) time: 2.9373 data: 0.0057 max mem: 31630 Epoch: [8] [1890/5278] eta: 2:45:22 lr: 4.049021578344618e-05 loss: 0.1200 (0.1330) loss_seg: 0.1184 (0.1318) loss_lansim: 0.1328 (0.1067) loss_contra: 0.0009 (0.0133) time: 2.9289 data: 0.0057 max mem: 31630 Epoch: [8] [1900/5278] eta: 2:44:53 lr: 4.048803373480634e-05 loss: 0.1200 (0.1329) loss_seg: 0.1184 (0.1317) loss_lansim: 0.1325 (0.1068) loss_contra: 0.0008 (0.0133) time: 2.9350 data: 0.0057 max mem: 31630 Epoch: [8] [1910/5278] eta: 2:44:24 lr: 4.048585167309991e-05 loss: 0.1199 (0.1328) loss_seg: 0.1184 (0.1316) loss_lansim: 0.1318 (0.1069) loss_contra: 0.0008 (0.0132) time: 2.9365 data: 0.0057 max mem: 31630 Epoch: [8] [1920/5278] eta: 2:43:55 lr: 4.048366959832604e-05 loss: 0.1205 (0.1328) loss_seg: 0.1193 (0.1316) loss_lansim: 0.1296 (0.1070) loss_contra: 0.0010 (0.0132) time: 2.9318 data: 0.0057 max mem: 31630 Epoch: [8] [1930/5278] eta: 2:43:25 lr: 4.0481487510483846e-05 loss: 0.1231 (0.1329) loss_seg: 0.1218 (0.1317) loss_lansim: 0.1286 (0.1071) loss_contra: 0.0010 (0.0132) time: 2.9280 data: 0.0057 max mem: 31630 Epoch: [8] [1940/5278] eta: 2:42:55 lr: 4.0479305409572486e-05 loss: 0.1237 (0.1330) loss_seg: 0.1221 (0.1318) loss_lansim: 0.1274 (0.1072) loss_contra: 0.0011 (0.0131) time: 2.9242 data: 0.0057 max mem: 31630 Epoch: [8] [1950/5278] eta: 2:42:27 lr: 4.047712329559109e-05 loss: 0.1270 (0.1331) loss_seg: 0.1255 (0.1319) loss_lansim: 0.1274 (0.1073) loss_contra: 0.0011 (0.0131) time: 2.9280 data: 0.0057 max mem: 31630 Epoch: [8] [1960/5278] eta: 2:41:58 lr: 4.04749411685388e-05 loss: 0.1205 (0.1330) loss_seg: 0.1193 (0.1318) loss_lansim: 0.1252 (0.1074) loss_contra: 0.0011 (0.0131) time: 2.9314 data: 0.0057 max mem: 31630 Epoch: [8] [1970/5278] eta: 2:41:27 lr: 4.047275902841476e-05 loss: 0.1173 (0.1330) loss_seg: 0.1162 (0.1318) loss_lansim: 0.1236 (0.1074) loss_contra: 0.0012 (0.0130) time: 2.9208 data: 0.0057 max mem: 31630 Epoch: [8] [1980/5278] eta: 2:40:58 lr: 4.047057687521809e-05 loss: 0.1157 (0.1329) loss_seg: 0.1145 (0.1317) loss_lansim: 0.1221 (0.1075) loss_contra: 0.0016 (0.0130) time: 2.9204 data: 0.0057 max mem: 31630 Epoch: [8] [1990/5278] eta: 2:40:29 lr: 4.0468394708947946e-05 loss: 0.1173 (0.1329) loss_seg: 0.1162 (0.1317) loss_lansim: 0.1215 (0.1076) loss_contra: 0.0012 (0.0130) time: 2.9280 data: 0.0057 max mem: 31630 Epoch: [8] [2000/5278] eta: 2:40:00 lr: 4.046621252960346e-05 loss: 0.1173 (0.1328) loss_seg: 0.1162 (0.1316) loss_lansim: 0.1217 (0.1077) loss_contra: 0.0012 (0.0130) time: 2.9270 data: 0.0057 max mem: 31630 Epoch: [8] [2010/5278] eta: 2:39:30 lr: 4.046403033718378e-05 loss: 0.1193 (0.1327) loss_seg: 0.1181 (0.1315) loss_lansim: 0.1225 (0.1078) loss_contra: 0.0016 (0.0129) time: 2.9214 data: 0.0058 max mem: 31630 Epoch: [8] [2020/5278] eta: 2:39:01 lr: 4.0461848131688033e-05 loss: 0.1219 (0.1327) loss_seg: 0.1204 (0.1315) loss_lansim: 0.1241 (0.1080) loss_contra: 0.0016 (0.0129) time: 2.9251 data: 0.0058 max mem: 31630 Epoch: [8] [2030/5278] eta: 2:38:32 lr: 4.045966591311536e-05 loss: 0.1204 (0.1327) loss_seg: 0.1192 (0.1314) loss_lansim: 0.1241 (0.1080) loss_contra: 0.0016 (0.0129) time: 2.9286 data: 0.0058 max mem: 31630 Epoch: [8] [2040/5278] eta: 2:38:03 lr: 4.045748368146489e-05 loss: 0.1193 (0.1327) loss_seg: 0.1181 (0.1315) loss_lansim: 0.1251 (0.1082) loss_contra: 0.0016 (0.0128) time: 2.9334 data: 0.0059 max mem: 31630 Epoch: [8] [2050/5278] eta: 2:37:35 lr: 4.045530143673578e-05 loss: 0.1165 (0.1328) loss_seg: 0.1150 (0.1316) loss_lansim: 0.1263 (0.1083) loss_contra: 0.0012 (0.0128) time: 2.9344 data: 0.0060 max mem: 31630 Epoch: [8] [2060/5278] eta: 2:37:05 lr: 4.045311917892716e-05 loss: 0.1193 (0.1327) loss_seg: 0.1181 (0.1315) loss_lansim: 0.1281 (0.1084) loss_contra: 0.0012 (0.0128) time: 2.9295 data: 0.0061 max mem: 31630 Epoch: [8] [2070/5278] eta: 2:36:35 lr: 4.045093690803815e-05 loss: 0.1204 (0.1328) loss_seg: 0.1192 (0.1316) loss_lansim: 0.1300 (0.1085) loss_contra: 0.0011 (0.0128) time: 2.9360 data: 0.0061 max mem: 31630 Epoch: [8] [2080/5278] eta: 2:36:06 lr: 4.0448754624067915e-05 loss: 0.1222 (0.1328) loss_seg: 0.1205 (0.1316) loss_lansim: 0.1317 (0.1086) loss_contra: 0.0009 (0.0127) time: 2.9335 data: 0.0061 max mem: 31630 Epoch: [8] [2090/5278] eta: 2:35:36 lr: 4.044657232701557e-05 loss: 0.1210 (0.1327) loss_seg: 0.1195 (0.1315) loss_lansim: 0.1299 (0.1087) loss_contra: 0.0010 (0.0127) time: 2.9300 data: 0.0062 max mem: 31630 Epoch: [8] [2100/5278] eta: 2:35:08 lr: 4.044439001688028e-05 loss: 0.1244 (0.1328) loss_seg: 0.1232 (0.1315) loss_lansim: 0.1294 (0.1088) loss_contra: 0.0010 (0.0127) time: 2.9318 data: 0.0062 max mem: 31630 Epoch: [8] [2110/5278] eta: 2:34:38 lr: 4.044220769366115e-05 loss: 0.1273 (0.1328) loss_seg: 0.1260 (0.1316) loss_lansim: 0.1299 (0.1089) loss_contra: 0.0009 (0.0127) time: 2.9338 data: 0.0062 max mem: 31630 Epoch: [8] [2120/5278] eta: 2:34:09 lr: 4.044002535735733e-05 loss: 0.1295 (0.1329) loss_seg: 0.1283 (0.1317) loss_lansim: 0.1299 (0.1090) loss_contra: 0.0009 (0.0126) time: 2.9307 data: 0.0062 max mem: 31630 Epoch: [8] [2130/5278] eta: 2:33:39 lr: 4.043784300796797e-05 loss: 0.1295 (0.1330) loss_seg: 0.1283 (0.1318) loss_lansim: 0.1299 (0.1091) loss_contra: 0.0008 (0.0126) time: 2.9248 data: 0.0062 max mem: 31630 Epoch: [8] [2140/5278] eta: 2:33:10 lr: 4.0435660645492185e-05 loss: 0.1319 (0.1330) loss_seg: 0.1304 (0.1318) loss_lansim: 0.1299 (0.1092) loss_contra: 0.0009 (0.0126) time: 2.9233 data: 0.0062 max mem: 31630 Epoch: [8] [2150/5278] eta: 2:32:41 lr: 4.0433478269929124e-05 loss: 0.1319 (0.1332) loss_seg: 0.1304 (0.1320) loss_lansim: 0.1277 (0.1093) loss_contra: 0.0011 (0.0126) time: 2.9226 data: 0.0061 max mem: 31630 Epoch: [8] [2160/5278] eta: 2:32:12 lr: 4.043129588127793e-05 loss: 0.1349 (0.1333) loss_seg: 0.1335 (0.1320) loss_lansim: 0.1277 (0.1094) loss_contra: 0.0011 (0.0126) time: 2.9303 data: 0.0061 max mem: 31630 Epoch: [8] [2170/5278] eta: 2:31:42 lr: 4.042911347953772e-05 loss: 0.1319 (0.1332) loss_seg: 0.1304 (0.1320) loss_lansim: 0.1277 (0.1095) loss_contra: 0.0011 (0.0126) time: 2.9238 data: 0.0061 max mem: 31630 Epoch: [8] [2180/5278] eta: 2:31:12 lr: 4.042693106470765e-05 loss: 0.1295 (0.1332) loss_seg: 0.1283 (0.1319) loss_lansim: 0.1263 (0.1095) loss_contra: 0.0014 (0.0126) time: 2.9245 data: 0.0061 max mem: 31630 Epoch: [8] [2190/5278] eta: 2:30:43 lr: 4.042474863678684e-05 loss: 0.1319 (0.1331) loss_seg: 0.1304 (0.1318) loss_lansim: 0.1289 (0.1096) loss_contra: 0.0016 (0.0126) time: 2.9245 data: 0.0060 max mem: 31630 Epoch: [8] [2200/5278] eta: 2:30:13 lr: 4.042256619577444e-05 loss: 0.1295 (0.1330) loss_seg: 0.1283 (0.1318) loss_lansim: 0.1298 (0.1097) loss_contra: 0.0015 (0.0127) time: 2.9202 data: 0.0060 max mem: 31630 Epoch: [8] [2210/5278] eta: 2:29:44 lr: 4.0420383741669574e-05 loss: 0.1279 (0.1330) loss_seg: 0.1266 (0.1318) loss_lansim: 0.1290 (0.1098) loss_contra: 0.0014 (0.0127) time: 2.9203 data: 0.0060 max mem: 31630 Epoch: [8] [2220/5278] eta: 2:29:15 lr: 4.041820127447139e-05 loss: 0.1276 (0.1330) loss_seg: 0.1258 (0.1318) loss_lansim: 0.1274 (0.1099) loss_contra: 0.0015 (0.0126) time: 2.9194 data: 0.0061 max mem: 31630 Epoch: [8] [2230/5278] eta: 2:28:46 lr: 4.041601879417902e-05 loss: 0.1276 (0.1331) loss_seg: 0.1258 (0.1319) loss_lansim: 0.1287 (0.1099) loss_contra: 0.0016 (0.0126) time: 2.9274 data: 0.0062 max mem: 31630 Epoch: [8] [2240/5278] eta: 2:28:17 lr: 4.04138363007916e-05 loss: 0.1326 (0.1332) loss_seg: 0.1311 (0.1320) loss_lansim: 0.1274 (0.1100) loss_contra: 0.0020 (0.0126) time: 2.9299 data: 0.0063 max mem: 31630 Epoch: [8] [2250/5278] eta: 2:27:47 lr: 4.041165379430826e-05 loss: 0.1326 (0.1332) loss_seg: 0.1311 (0.1319) loss_lansim: 0.1274 (0.1101) loss_contra: 0.0020 (0.0127) time: 2.9189 data: 0.0064 max mem: 31630 Epoch: [8] [2260/5278] eta: 2:27:17 lr: 4.040947127472814e-05 loss: 0.1265 (0.1331) loss_seg: 0.1253 (0.1319) loss_lansim: 0.1269 (0.1101) loss_contra: 0.0021 (0.0127) time: 2.9154 data: 0.0063 max mem: 31630 Epoch: [8] [2270/5278] eta: 2:26:48 lr: 4.040728874205037e-05 loss: 0.1227 (0.1329) loss_seg: 0.1214 (0.1317) loss_lansim: 0.1252 (0.1102) loss_contra: 0.0021 (0.0127) time: 2.9224 data: 0.0062 max mem: 31630 Epoch: [8] [2280/5278] eta: 2:26:19 lr: 4.0405106196274095e-05 loss: 0.1227 (0.1330) loss_seg: 0.1214 (0.1317) loss_lansim: 0.1265 (0.1103) loss_contra: 0.0021 (0.0126) time: 2.9252 data: 0.0064 max mem: 31630 Epoch: [8] [2290/5278] eta: 2:25:50 lr: 4.040292363739844e-05 loss: 0.1237 (0.1329) loss_seg: 0.1225 (0.1317) loss_lansim: 0.1274 (0.1105) loss_contra: 0.0020 (0.0126) time: 2.9280 data: 0.0064 max mem: 31630 Epoch: [8] [2300/5278] eta: 2:25:20 lr: 4.040074106542255e-05 loss: 0.1237 (0.1329) loss_seg: 0.1225 (0.1317) loss_lansim: 0.1287 (0.1107) loss_contra: 0.0021 (0.0126) time: 2.9249 data: 0.0064 max mem: 31630 Epoch: [8] [2310/5278] eta: 2:24:51 lr: 4.0398558480345555e-05 loss: 0.1223 (0.1329) loss_seg: 0.1206 (0.1317) loss_lansim: 0.1306 (0.1109) loss_contra: 0.0021 (0.0126) time: 2.9291 data: 0.0064 max mem: 31630 Epoch: [8] [2320/5278] eta: 2:24:22 lr: 4.039637588216659e-05 loss: 0.1296 (0.1330) loss_seg: 0.1282 (0.1318) loss_lansim: 0.1339 (0.1113) loss_contra: 0.0026 (0.0127) time: 2.9342 data: 0.0063 max mem: 31630 Epoch: [8] [2330/5278] eta: 2:23:53 lr: 4.039419327088479e-05 loss: 0.1296 (0.1331) loss_seg: 0.1282 (0.1318) loss_lansim: 0.1377 (0.1116) loss_contra: 0.0028 (0.0127) time: 2.9317 data: 0.0062 max mem: 31630 Epoch: [8] [2340/5278] eta: 2:23:24 lr: 4.039201064649929e-05 loss: 0.1264 (0.1331) loss_seg: 0.1247 (0.1318) loss_lansim: 0.1478 (0.1119) loss_contra: 0.0025 (0.0127) time: 2.9258 data: 0.0061 max mem: 31630 Epoch: [8] [2350/5278] eta: 2:22:55 lr: 4.0389828009009226e-05 loss: 0.1249 (0.1331) loss_seg: 0.1225 (0.1319) loss_lansim: 0.1586 (0.1122) loss_contra: 0.0029 (0.0127) time: 2.9353 data: 0.0061 max mem: 31630 Epoch: [8] [2360/5278] eta: 2:22:25 lr: 4.038764535841373e-05 loss: 0.1237 (0.1330) loss_seg: 0.1222 (0.1318) loss_lansim: 0.1638 (0.1125) loss_contra: 0.0026 (0.0127) time: 2.9297 data: 0.0061 max mem: 31630 Epoch: [8] [2370/5278] eta: 2:21:55 lr: 4.038546269471193e-05 loss: 0.1260 (0.1331) loss_seg: 0.1245 (0.1319) loss_lansim: 0.1706 (0.1128) loss_contra: 0.0028 (0.0127) time: 2.9254 data: 0.0061 max mem: 31630 Epoch: [8] [2380/5278] eta: 2:21:24 lr: 4.038328001790297e-05 loss: 0.1249 (0.1331) loss_seg: 0.1227 (0.1319) loss_lansim: 0.1750 (0.1132) loss_contra: 0.0038 (0.0131) time: 2.9126 data: 0.0060 max mem: 31630 Epoch: [8] [2390/5278] eta: 2:20:54 lr: 4.038109732798599e-05 loss: 0.1267 (0.1333) loss_seg: 0.1246 (0.1321) loss_lansim: 0.1792 (0.1136) loss_contra: 0.0048 (0.0141) time: 2.9061 data: 0.0059 max mem: 31630 Epoch: [8] [2400/5278] eta: 2:20:25 lr: 4.0378914624960105e-05 loss: 0.1329 (0.1333) loss_seg: 0.1305 (0.1320) loss_lansim: 0.1894 (0.1141) loss_contra: 0.0058 (0.0149) time: 2.9081 data: 0.0058 max mem: 31630 Epoch: [8] [2410/5278] eta: 2:19:55 lr: 4.037673190882447e-05 loss: 0.1329 (0.1335) loss_seg: 0.1305 (0.1322) loss_lansim: 0.1971 (0.1145) loss_contra: 0.0113 (0.0156) time: 2.9004 data: 0.0058 max mem: 31630 Epoch: [8] [2420/5278] eta: 2:19:25 lr: 4.03745491795782e-05 loss: 0.1267 (0.1335) loss_seg: 0.1245 (0.1322) loss_lansim: 0.1961 (0.1149) loss_contra: 0.0146 (0.0160) time: 2.8888 data: 0.0058 max mem: 31630 Epoch: [8] [2430/5278] eta: 2:18:55 lr: 4.037236643722044e-05 loss: 0.1290 (0.1335) loss_seg: 0.1247 (0.1322) loss_lansim: 0.1971 (0.1152) loss_contra: 0.0194 (0.0161) time: 2.8841 data: 0.0058 max mem: 31630 Epoch: [8] [2440/5278] eta: 2:18:26 lr: 4.0370183681750326e-05 loss: 0.1273 (0.1335) loss_seg: 0.1245 (0.1322) loss_lansim: 0.1977 (0.1156) loss_contra: 0.0207 (0.0162) time: 2.8839 data: 0.0057 max mem: 31630 Epoch: [8] [2450/5278] eta: 2:17:56 lr: 4.036800091316697e-05 loss: 0.1272 (0.1334) loss_seg: 0.1243 (0.1321) loss_lansim: 0.1973 (0.1159) loss_contra: 0.0257 (0.0164) time: 2.8789 data: 0.0058 max mem: 31630 Epoch: [8] [2460/5278] eta: 2:17:26 lr: 4.036581813146954e-05 loss: 0.1290 (0.1335) loss_seg: 0.1246 (0.1322) loss_lansim: 0.1971 (0.1161) loss_contra: 0.0257 (0.0164) time: 2.8767 data: 0.0059 max mem: 31630 Epoch: [8] [2470/5278] eta: 2:16:56 lr: 4.036363533665714e-05 loss: 0.1291 (0.1336) loss_seg: 0.1269 (0.1322) loss_lansim: 0.1965 (0.1163) loss_contra: 0.0312 (0.0165) time: 2.8781 data: 0.0059 max mem: 31630 Epoch: [8] [2480/5278] eta: 2:16:27 lr: 4.0361452528728915e-05 loss: 0.1295 (0.1336) loss_seg: 0.1269 (0.1323) loss_lansim: 0.1923 (0.1165) loss_contra: 0.0331 (0.0166) time: 2.8883 data: 0.0059 max mem: 31630 Epoch: [8] [2490/5278] eta: 2:15:58 lr: 4.0359269707684e-05 loss: 0.1285 (0.1336) loss_seg: 0.1252 (0.1323) loss_lansim: 0.1862 (0.1166) loss_contra: 0.0231 (0.0166) time: 2.8936 data: 0.0060 max mem: 31630 Epoch: [8] [2500/5278] eta: 2:15:29 lr: 4.035708687352152e-05 loss: 0.1266 (0.1336) loss_seg: 0.1243 (0.1322) loss_lansim: 0.1750 (0.1168) loss_contra: 0.0166 (0.0167) time: 2.8959 data: 0.0061 max mem: 31630 Epoch: [8] [2510/5278] eta: 2:15:00 lr: 4.035490402624061e-05 loss: 0.1242 (0.1336) loss_seg: 0.1218 (0.1322) loss_lansim: 0.1702 (0.1169) loss_contra: 0.0110 (0.0167) time: 2.9030 data: 0.0062 max mem: 31630 Epoch: [8] [2520/5278] eta: 2:14:30 lr: 4.035272116584042e-05 loss: 0.1285 (0.1336) loss_seg: 0.1269 (0.1322) loss_lansim: 0.1654 (0.1171) loss_contra: 0.0101 (0.0167) time: 2.9067 data: 0.0062 max mem: 31630 Epoch: [8] [2530/5278] eta: 2:14:01 lr: 4.035053829232006e-05 loss: 0.1305 (0.1338) loss_seg: 0.1269 (0.1324) loss_lansim: 0.1612 (0.1173) loss_contra: 0.0100 (0.0168) time: 2.9120 data: 0.0062 max mem: 31630 Epoch: [8] [2540/5278] eta: 2:13:32 lr: 4.034835540567867e-05 loss: 0.1321 (0.1338) loss_seg: 0.1302 (0.1324) loss_lansim: 0.1599 (0.1174) loss_contra: 0.0078 (0.0167) time: 2.9216 data: 0.0062 max mem: 31630 Epoch: [8] [2550/5278] eta: 2:13:03 lr: 4.034617250591538e-05 loss: 0.1305 (0.1337) loss_seg: 0.1287 (0.1324) loss_lansim: 0.1596 (0.1177) loss_contra: 0.0075 (0.0167) time: 2.9222 data: 0.0062 max mem: 31630 Epoch: [8] [2560/5278] eta: 2:12:33 lr: 4.0343989593029324e-05 loss: 0.1329 (0.1339) loss_seg: 0.1313 (0.1326) loss_lansim: 0.1607 (0.1180) loss_contra: 0.0079 (0.0168) time: 2.9274 data: 0.0062 max mem: 31630 Epoch: [8] [2570/5278] eta: 2:12:04 lr: 4.034180666701964e-05 loss: 0.1354 (0.1340) loss_seg: 0.1334 (0.1326) loss_lansim: 0.1654 (0.1183) loss_contra: 0.0106 (0.0175) time: 2.9294 data: 0.0062 max mem: 31630 Epoch: [8] [2580/5278] eta: 2:11:35 lr: 4.033962372788545e-05 loss: 0.1354 (0.1340) loss_seg: 0.1334 (0.1326) loss_lansim: 0.1708 (0.1185) loss_contra: 0.0109 (0.0178) time: 2.9296 data: 0.0062 max mem: 31630 Epoch: [8] [2590/5278] eta: 2:11:06 lr: 4.0337440775625895e-05 loss: 0.1367 (0.1340) loss_seg: 0.1353 (0.1326) loss_lansim: 0.1700 (0.1187) loss_contra: 0.0109 (0.0182) time: 2.9292 data: 0.0062 max mem: 31630 Epoch: [8] [2600/5278] eta: 2:10:37 lr: 4.033525781024011e-05 loss: 0.1386 (0.1341) loss_seg: 0.1369 (0.1328) loss_lansim: 0.1700 (0.1188) loss_contra: 0.0115 (0.0186) time: 2.9351 data: 0.0062 max mem: 31630 Epoch: [8] [2610/5278] eta: 2:10:08 lr: 4.033307483172721e-05 loss: 0.1386 (0.1341) loss_seg: 0.1371 (0.1327) loss_lansim: 0.1624 (0.1188) loss_contra: 0.0188 (0.0189) time: 2.9399 data: 0.0062 max mem: 31630 Epoch: [8] [2620/5278] eta: 2:09:39 lr: 4.033089184008634e-05 loss: 0.1398 (0.1342) loss_seg: 0.1380 (0.1328) loss_lansim: 0.1612 (0.1189) loss_contra: 0.0247 (0.0190) time: 2.9391 data: 0.0062 max mem: 31630 Epoch: [8] [2630/5278] eta: 2:09:09 lr: 4.032870883531663e-05 loss: 0.1383 (0.1342) loss_seg: 0.1357 (0.1328) loss_lansim: 0.1590 (0.1189) loss_contra: 0.0243 (0.0190) time: 2.9352 data: 0.0063 max mem: 31630 Epoch: [8] [2640/5278] eta: 2:08:40 lr: 4.03265258174172e-05 loss: 0.1354 (0.1343) loss_seg: 0.1334 (0.1329) loss_lansim: 0.1512 (0.1190) loss_contra: 0.0265 (0.0195) time: 2.9306 data: 0.0065 max mem: 31630 Epoch: [8] [2650/5278] eta: 2:08:11 lr: 4.03243427863872e-05 loss: 0.1394 (0.1344) loss_seg: 0.1380 (0.1330) loss_lansim: 0.1440 (0.1190) loss_contra: 0.0291 (0.0197) time: 2.9355 data: 0.0065 max mem: 31630 Epoch: [8] [2660/5278] eta: 2:07:42 lr: 4.032215974222575e-05 loss: 0.1383 (0.1344) loss_seg: 0.1357 (0.1330) loss_lansim: 0.1381 (0.1191) loss_contra: 0.0300 (0.0200) time: 2.9361 data: 0.0065 max mem: 31630 Epoch: [8] [2670/5278] eta: 2:07:12 lr: 4.0319976684931984e-05 loss: 0.1381 (0.1345) loss_seg: 0.1357 (0.1331) loss_lansim: 0.1342 (0.1191) loss_contra: 0.0261 (0.0200) time: 2.9338 data: 0.0065 max mem: 31630 Epoch: [8] [2680/5278] eta: 2:06:43 lr: 4.0317793614505025e-05 loss: 0.1381 (0.1345) loss_seg: 0.1357 (0.1331) loss_lansim: 0.1329 (0.1192) loss_contra: 0.0188 (0.0200) time: 2.9366 data: 0.0065 max mem: 31630 Epoch: [8] [2690/5278] eta: 2:06:14 lr: 4.031561053094402e-05 loss: 0.1311 (0.1344) loss_seg: 0.1299 (0.1330) loss_lansim: 0.1314 (0.1192) loss_contra: 0.0180 (0.0201) time: 2.9373 data: 0.0065 max mem: 31630 Epoch: [8] [2700/5278] eta: 2:05:45 lr: 4.031342743424808e-05 loss: 0.1280 (0.1344) loss_seg: 0.1266 (0.1330) loss_lansim: 0.1313 (0.1193) loss_contra: 0.0135 (0.0201) time: 2.9341 data: 0.0065 max mem: 31630 Epoch: [8] [2710/5278] eta: 2:05:16 lr: 4.031124432441636e-05 loss: 0.1300 (0.1345) loss_seg: 0.1284 (0.1331) loss_lansim: 0.1297 (0.1193) loss_contra: 0.0096 (0.0201) time: 2.9286 data: 0.0065 max mem: 31630 Epoch: [8] [2720/5278] eta: 2:04:46 lr: 4.0309061201447965e-05 loss: 0.1266 (0.1344) loss_seg: 0.1252 (0.1331) loss_lansim: 0.1295 (0.1193) loss_contra: 0.0076 (0.0201) time: 2.9323 data: 0.0064 max mem: 31630 Epoch: [8] [2730/5278] eta: 2:04:17 lr: 4.0306878065342044e-05 loss: 0.1278 (0.1345) loss_seg: 0.1264 (0.1331) loss_lansim: 0.1293 (0.1193) loss_contra: 0.0086 (0.0202) time: 2.9348 data: 0.0063 max mem: 31630 Epoch: [8] [2740/5278] eta: 2:03:48 lr: 4.030469491609772e-05 loss: 0.1278 (0.1345) loss_seg: 0.1264 (0.1331) loss_lansim: 0.1290 (0.1193) loss_contra: 0.0086 (0.0201) time: 2.9307 data: 0.0062 max mem: 31630 Epoch: [8] [2750/5278] eta: 2:03:19 lr: 4.030251175371412e-05 loss: 0.1259 (0.1344) loss_seg: 0.1246 (0.1330) loss_lansim: 0.1266 (0.1193) loss_contra: 0.0077 (0.0201) time: 2.9282 data: 0.0062 max mem: 31630 Epoch: [8] [2760/5278] eta: 2:02:49 lr: 4.0300328578190376e-05 loss: 0.1259 (0.1344) loss_seg: 0.1246 (0.1330) loss_lansim: 0.1236 (0.1193) loss_contra: 0.0048 (0.0201) time: 2.9281 data: 0.0061 max mem: 31630 Epoch: [8] [2770/5278] eta: 2:02:20 lr: 4.029814538952563e-05 loss: 0.1194 (0.1344) loss_seg: 0.1181 (0.1330) loss_lansim: 0.1224 (0.1193) loss_contra: 0.0045 (0.0201) time: 2.9272 data: 0.0061 max mem: 31630 Epoch: [8] [2780/5278] eta: 2:01:51 lr: 4.0295962187718986e-05 loss: 0.1178 (0.1343) loss_seg: 0.1160 (0.1329) loss_lansim: 0.1190 (0.1193) loss_contra: 0.0037 (0.0200) time: 2.9289 data: 0.0062 max mem: 31630 Epoch: [8] [2790/5278] eta: 2:01:21 lr: 4.02937789727696e-05 loss: 0.1178 (0.1343) loss_seg: 0.1160 (0.1330) loss_lansim: 0.1182 (0.1192) loss_contra: 0.0037 (0.0200) time: 2.9281 data: 0.0062 max mem: 31630 Epoch: [8] [2800/5278] eta: 2:00:52 lr: 4.029159574467658e-05 loss: 0.1178 (0.1344) loss_seg: 0.1160 (0.1330) loss_lansim: 0.1166 (0.1192) loss_contra: 0.0037 (0.0200) time: 2.9229 data: 0.0061 max mem: 31630 Epoch: [8] [2810/5278] eta: 2:00:23 lr: 4.028941250343908e-05 loss: 0.1189 (0.1345) loss_seg: 0.1178 (0.1331) loss_lansim: 0.1147 (0.1192) loss_contra: 0.0042 (0.0199) time: 2.9222 data: 0.0061 max mem: 31630 Epoch: [8] [2820/5278] eta: 1:59:54 lr: 4.028722924905621e-05 loss: 0.1189 (0.1345) loss_seg: 0.1178 (0.1331) loss_lansim: 0.1146 (0.1192) loss_contra: 0.0039 (0.0199) time: 2.9241 data: 0.0062 max mem: 31630 Epoch: [8] [2830/5278] eta: 1:59:24 lr: 4.02850459815271e-05 loss: 0.1189 (0.1345) loss_seg: 0.1178 (0.1331) loss_lansim: 0.1140 (0.1192) loss_contra: 0.0039 (0.0201) time: 2.9236 data: 0.0063 max mem: 31630 Epoch: [8] [2840/5278] eta: 1:58:55 lr: 4.02828627008509e-05 loss: 0.1223 (0.1345) loss_seg: 0.1212 (0.1331) loss_lansim: 0.1132 (0.1192) loss_contra: 0.0038 (0.0200) time: 2.9237 data: 0.0063 max mem: 31630 Epoch: [8] [2850/5278] eta: 1:58:26 lr: 4.028067940702671e-05 loss: 0.1273 (0.1346) loss_seg: 0.1263 (0.1332) loss_lansim: 0.1120 (0.1191) loss_contra: 0.0045 (0.0200) time: 2.9259 data: 0.0063 max mem: 31630 Epoch: [8] [2860/5278] eta: 1:57:57 lr: 4.027849610005367e-05 loss: 0.1296 (0.1346) loss_seg: 0.1284 (0.1333) loss_lansim: 0.1125 (0.1191) loss_contra: 0.0048 (0.0200) time: 2.9293 data: 0.0063 max mem: 31630 Epoch: [8] [2870/5278] eta: 1:57:27 lr: 4.027631277993092e-05 loss: 0.1320 (0.1347) loss_seg: 0.1306 (0.1333) loss_lansim: 0.1115 (0.1191) loss_contra: 0.0050 (0.0201) time: 2.9234 data: 0.0063 max mem: 31630 Epoch: [8] [2880/5278] eta: 1:56:57 lr: 4.027412944665758e-05 loss: 0.1328 (0.1347) loss_seg: 0.1314 (0.1333) loss_lansim: 0.1112 (0.1190) loss_contra: 0.0058 (0.0201) time: 2.9137 data: 0.0063 max mem: 31630 Epoch: [8] [2890/5278] eta: 1:56:27 lr: 4.027194610023277e-05 loss: 0.1328 (0.1347) loss_seg: 0.1314 (0.1333) loss_lansim: 0.1110 (0.1190) loss_contra: 0.0072 (0.0200) time: 2.9032 data: 0.0063 max mem: 31630 Epoch: [8] [2900/5278] eta: 1:55:57 lr: 4.026976274065564e-05 loss: 0.1374 (0.1347) loss_seg: 0.1361 (0.1334) loss_lansim: 0.1104 (0.1190) loss_contra: 0.0072 (0.0200) time: 2.9012 data: 0.0064 max mem: 31630 Epoch: [8] [2910/5278] eta: 1:55:27 lr: 4.026757936792529e-05 loss: 0.1330 (0.1347) loss_seg: 0.1319 (0.1333) loss_lansim: 0.1104 (0.1190) loss_contra: 0.0064 (0.0200) time: 2.8911 data: 0.0064 max mem: 31630 Epoch: [8] [2920/5278] eta: 1:54:57 lr: 4.0265395982040874e-05 loss: 0.1330 (0.1348) loss_seg: 0.1319 (0.1334) loss_lansim: 0.1101 (0.1189) loss_contra: 0.0067 (0.0199) time: 2.8824 data: 0.0063 max mem: 31630 Epoch: [8] [2930/5278] eta: 1:54:27 lr: 4.0263212583001506e-05 loss: 0.1330 (0.1348) loss_seg: 0.1319 (0.1334) loss_lansim: 0.1090 (0.1189) loss_contra: 0.0067 (0.0199) time: 2.8751 data: 0.0063 max mem: 31630 Epoch: [8] [2940/5278] eta: 1:53:58 lr: 4.026102917080633e-05 loss: 0.1350 (0.1348) loss_seg: 0.1336 (0.1334) loss_lansim: 0.1088 (0.1189) loss_contra: 0.0060 (0.0200) time: 2.8698 data: 0.0063 max mem: 31630 Epoch: [8] [2950/5278] eta: 1:53:28 lr: 4.025884574545445e-05 loss: 0.1330 (0.1348) loss_seg: 0.1319 (0.1334) loss_lansim: 0.1092 (0.1188) loss_contra: 0.0055 (0.0200) time: 2.8588 data: 0.0064 max mem: 31630 Epoch: [8] [2960/5278] eta: 1:52:58 lr: 4.0256662306945e-05 loss: 0.1350 (0.1349) loss_seg: 0.1336 (0.1335) loss_lansim: 0.1088 (0.1188) loss_contra: 0.0058 (0.0200) time: 2.8488 data: 0.0063 max mem: 31630 Epoch: [8] [2970/5278] eta: 1:52:28 lr: 4.025447885527713e-05 loss: 0.1350 (0.1349) loss_seg: 0.1336 (0.1335) loss_lansim: 0.1092 (0.1188) loss_contra: 0.0066 (0.0200) time: 2.8517 data: 0.0063 max mem: 31630 Epoch: [8] [2980/5278] eta: 1:51:58 lr: 4.025229539044995e-05 loss: 0.1374 (0.1350) loss_seg: 0.1361 (0.1336) loss_lansim: 0.1090 (0.1188) loss_contra: 0.0067 (0.0200) time: 2.8482 data: 0.0063 max mem: 31630 Epoch: [8] [2990/5278] eta: 1:51:29 lr: 4.0250111912462576e-05 loss: 0.1356 (0.1349) loss_seg: 0.1336 (0.1335) loss_lansim: 0.1093 (0.1187) loss_contra: 0.0067 (0.0202) time: 2.8544 data: 0.0063 max mem: 31630 Epoch: [8] [3000/5278] eta: 1:51:00 lr: 4.0247928421314155e-05 loss: 0.1392 (0.1350) loss_seg: 0.1369 (0.1336) loss_lansim: 0.1078 (0.1187) loss_contra: 0.0068 (0.0203) time: 2.8644 data: 0.0062 max mem: 31630 Epoch: [8] [3010/5278] eta: 1:50:30 lr: 4.0245744917003805e-05 loss: 0.1397 (0.1351) loss_seg: 0.1382 (0.1337) loss_lansim: 0.1073 (0.1186) loss_contra: 0.0076 (0.0204) time: 2.8717 data: 0.0062 max mem: 31630 Epoch: [8] [3020/5278] eta: 1:50:01 lr: 4.0243561399530664e-05 loss: 0.1413 (0.1351) loss_seg: 0.1402 (0.1337) loss_lansim: 0.1064 (0.1186) loss_contra: 0.0091 (0.0205) time: 2.8794 data: 0.0062 max mem: 31630 Epoch: [8] [3030/5278] eta: 1:49:32 lr: 4.0241377868893845e-05 loss: 0.1413 (0.1351) loss_seg: 0.1402 (0.1337) loss_lansim: 0.1060 (0.1185) loss_contra: 0.0091 (0.0205) time: 2.8918 data: 0.0061 max mem: 31630 Epoch: [8] [3040/5278] eta: 1:49:03 lr: 4.023919432509249e-05 loss: 0.1425 (0.1353) loss_seg: 0.1413 (0.1339) loss_lansim: 0.1049 (0.1185) loss_contra: 0.0096 (0.0206) time: 2.8945 data: 0.0061 max mem: 31630 Epoch: [8] [3050/5278] eta: 1:48:34 lr: 4.023701076812571e-05 loss: 0.1442 (0.1354) loss_seg: 0.1427 (0.1340) loss_lansim: 0.1046 (0.1184) loss_contra: 0.0102 (0.0208) time: 2.9036 data: 0.0061 max mem: 31630 Epoch: [8] [3060/5278] eta: 1:48:05 lr: 4.023482719799264e-05 loss: 0.1434 (0.1354) loss_seg: 0.1417 (0.1340) loss_lansim: 0.1044 (0.1184) loss_contra: 0.0102 (0.0208) time: 2.9158 data: 0.0060 max mem: 31630 Epoch: [8] [3070/5278] eta: 1:47:35 lr: 4.023264361469241e-05 loss: 0.1431 (0.1354) loss_seg: 0.1415 (0.1340) loss_lansim: 0.1031 (0.1183) loss_contra: 0.0103 (0.0209) time: 2.9190 data: 0.0061 max mem: 31630 Epoch: [8] [3080/5278] eta: 1:47:06 lr: 4.023046001822413e-05 loss: 0.1402 (0.1355) loss_seg: 0.1379 (0.1341) loss_lansim: 0.1019 (0.1183) loss_contra: 0.0120 (0.0209) time: 2.9269 data: 0.0060 max mem: 31630 Epoch: [8] [3090/5278] eta: 1:46:37 lr: 4.0228276408586945e-05 loss: 0.1448 (0.1355) loss_seg: 0.1438 (0.1341) loss_lansim: 0.1011 (0.1182) loss_contra: 0.0111 (0.0210) time: 2.9354 data: 0.0060 max mem: 31630 Epoch: [8] [3100/5278] eta: 1:46:08 lr: 4.022609278577998e-05 loss: 0.1402 (0.1355) loss_seg: 0.1386 (0.1342) loss_lansim: 0.1010 (0.1182) loss_contra: 0.0107 (0.0209) time: 2.9308 data: 0.0059 max mem: 31630 Epoch: [8] [3110/5278] eta: 1:45:38 lr: 4.0223909149802355e-05 loss: 0.1402 (0.1356) loss_seg: 0.1386 (0.1342) loss_lansim: 0.1010 (0.1181) loss_contra: 0.0091 (0.0209) time: 2.9280 data: 0.0059 max mem: 31630 Epoch: [8] [3120/5278] eta: 1:45:09 lr: 4.022172550065319e-05 loss: 0.1389 (0.1355) loss_seg: 0.1367 (0.1341) loss_lansim: 0.1007 (0.1181) loss_contra: 0.0091 (0.0209) time: 2.9287 data: 0.0059 max mem: 31630 Epoch: [8] [3130/5278] eta: 1:44:40 lr: 4.0219541838331624e-05 loss: 0.1391 (0.1356) loss_seg: 0.1376 (0.1342) loss_lansim: 0.1004 (0.1180) loss_contra: 0.0079 (0.0208) time: 2.9269 data: 0.0059 max mem: 31630 Epoch: [8] [3140/5278] eta: 1:44:11 lr: 4.0217358162836776e-05 loss: 0.1389 (0.1356) loss_seg: 0.1367 (0.1342) loss_lansim: 0.1002 (0.1179) loss_contra: 0.0071 (0.0209) time: 2.9249 data: 0.0058 max mem: 31630 Epoch: [8] [3150/5278] eta: 1:43:42 lr: 4.021517447416777e-05 loss: 0.1309 (0.1355) loss_seg: 0.1298 (0.1341) loss_lansim: 0.0996 (0.1179) loss_contra: 0.0073 (0.0209) time: 2.9278 data: 0.0058 max mem: 31630 Epoch: [8] [3160/5278] eta: 1:43:13 lr: 4.0212990772323735e-05 loss: 0.1262 (0.1355) loss_seg: 0.1253 (0.1341) loss_lansim: 0.0983 (0.1178) loss_contra: 0.0069 (0.0209) time: 2.9252 data: 0.0058 max mem: 31630 Epoch: [8] [3170/5278] eta: 1:42:43 lr: 4.0210807057303795e-05 loss: 0.1262 (0.1355) loss_seg: 0.1253 (0.1341) loss_lansim: 0.0982 (0.1177) loss_contra: 0.0064 (0.0209) time: 2.9254 data: 0.0057 max mem: 31630 Epoch: [8] [3180/5278] eta: 1:42:14 lr: 4.0208623329107085e-05 loss: 0.1366 (0.1356) loss_seg: 0.1353 (0.1342) loss_lansim: 0.0975 (0.1177) loss_contra: 0.0058 (0.0208) time: 2.9244 data: 0.0058 max mem: 31630 Epoch: [8] [3190/5278] eta: 1:41:44 lr: 4.020643958773271e-05 loss: 0.1255 (0.1356) loss_seg: 0.1246 (0.1342) loss_lansim: 0.0963 (0.1176) loss_contra: 0.0038 (0.0208) time: 2.9171 data: 0.0058 max mem: 31630 Epoch: [8] [3200/5278] eta: 1:41:15 lr: 4.020425583317982e-05 loss: 0.1298 (0.1356) loss_seg: 0.1288 (0.1342) loss_lansim: 0.0956 (0.1175) loss_contra: 0.0038 (0.0208) time: 2.9139 data: 0.0058 max mem: 31630 Epoch: [8] [3210/5278] eta: 1:40:46 lr: 4.0202072065447514e-05 loss: 0.1316 (0.1356) loss_seg: 0.1299 (0.1342) loss_lansim: 0.0952 (0.1174) loss_contra: 0.0038 (0.0207) time: 2.9171 data: 0.0059 max mem: 31630 Epoch: [8] [3220/5278] eta: 1:40:16 lr: 4.0199888284534937e-05 loss: 0.1398 (0.1357) loss_seg: 0.1388 (0.1343) loss_lansim: 0.0940 (0.1173) loss_contra: 0.0038 (0.0207) time: 2.9160 data: 0.0059 max mem: 31630 Epoch: [8] [3230/5278] eta: 1:39:47 lr: 4.019770449044121e-05 loss: 0.1415 (0.1358) loss_seg: 0.1404 (0.1344) loss_lansim: 0.0936 (0.1173) loss_contra: 0.0039 (0.0207) time: 2.9100 data: 0.0058 max mem: 31630 Epoch: [8] [3240/5278] eta: 1:39:18 lr: 4.019552068316546e-05 loss: 0.1415 (0.1358) loss_seg: 0.1404 (0.1344) loss_lansim: 0.0929 (0.1172) loss_contra: 0.0045 (0.0207) time: 2.9158 data: 0.0059 max mem: 31630 Epoch: [8] [3250/5278] eta: 1:38:48 lr: 4.019333686270679e-05 loss: 0.1398 (0.1358) loss_seg: 0.1388 (0.1344) loss_lansim: 0.0921 (0.1171) loss_contra: 0.0035 (0.0206) time: 2.9102 data: 0.0059 max mem: 31630 Epoch: [8] [3260/5278] eta: 1:38:19 lr: 4.019115302906436e-05 loss: 0.1415 (0.1358) loss_seg: 0.1404 (0.1344) loss_lansim: 0.0908 (0.1170) loss_contra: 0.0035 (0.0206) time: 2.9110 data: 0.0058 max mem: 31630 Epoch: [8] [3270/5278] eta: 1:37:50 lr: 4.0188969182237254e-05 loss: 0.1380 (0.1358) loss_seg: 0.1372 (0.1344) loss_lansim: 0.0904 (0.1169) loss_contra: 0.0034 (0.0205) time: 2.9106 data: 0.0059 max mem: 31630 Epoch: [8] [3280/5278] eta: 1:37:21 lr: 4.018678532222463e-05 loss: 0.1333 (0.1358) loss_seg: 0.1324 (0.1345) loss_lansim: 0.0904 (0.1169) loss_contra: 0.0033 (0.0205) time: 2.9144 data: 0.0059 max mem: 31630 Epoch: [8] [3290/5278] eta: 1:36:51 lr: 4.01846014490256e-05 loss: 0.1380 (0.1359) loss_seg: 0.1372 (0.1345) loss_lansim: 0.0904 (0.1168) loss_contra: 0.0034 (0.0205) time: 2.9141 data: 0.0058 max mem: 31630 Epoch: [8] [3300/5278] eta: 1:36:22 lr: 4.018241756263929e-05 loss: 0.1353 (0.1359) loss_seg: 0.1343 (0.1345) loss_lansim: 0.0899 (0.1167) loss_contra: 0.0029 (0.0205) time: 2.9187 data: 0.0058 max mem: 31630 Epoch: [8] [3310/5278] eta: 1:35:53 lr: 4.018023366306482e-05 loss: 0.1353 (0.1359) loss_seg: 0.1343 (0.1345) loss_lansim: 0.0899 (0.1166) loss_contra: 0.0030 (0.0205) time: 2.9236 data: 0.0058 max mem: 31630 Epoch: [8] [3320/5278] eta: 1:35:24 lr: 4.017804975030131e-05 loss: 0.1333 (0.1359) loss_seg: 0.1324 (0.1345) loss_lansim: 0.0895 (0.1166) loss_contra: 0.0029 (0.0204) time: 2.9237 data: 0.0058 max mem: 31630 Epoch: [8] [3330/5278] eta: 1:34:55 lr: 4.0175865824347894e-05 loss: 0.1310 (0.1359) loss_seg: 0.1300 (0.1345) loss_lansim: 0.0892 (0.1165) loss_contra: 0.0027 (0.0204) time: 2.9283 data: 0.0058 max mem: 31630 Epoch: [8] [3340/5278] eta: 1:34:26 lr: 4.01736818852037e-05 loss: 0.1297 (0.1359) loss_seg: 0.1288 (0.1345) loss_lansim: 0.0894 (0.1164) loss_contra: 0.0022 (0.0203) time: 2.9276 data: 0.0058 max mem: 31630 Epoch: [8] [3350/5278] eta: 1:33:56 lr: 4.0171497932867836e-05 loss: 0.1284 (0.1359) loss_seg: 0.1275 (0.1345) loss_lansim: 0.0893 (0.1163) loss_contra: 0.0024 (0.0203) time: 2.9306 data: 0.0058 max mem: 31630 Epoch: [8] [3360/5278] eta: 1:33:27 lr: 4.016931396733943e-05 loss: 0.1298 (0.1360) loss_seg: 0.1289 (0.1346) loss_lansim: 0.0899 (0.1163) loss_contra: 0.0020 (0.0203) time: 2.9307 data: 0.0058 max mem: 31630 Epoch: [8] [3370/5278] eta: 1:32:58 lr: 4.016712998861761e-05 loss: 0.1353 (0.1360) loss_seg: 0.1343 (0.1346) loss_lansim: 0.0899 (0.1162) loss_contra: 0.0019 (0.0202) time: 2.9339 data: 0.0058 max mem: 31630 Epoch: [8] [3380/5278] eta: 1:32:29 lr: 4.0164945996701496e-05 loss: 0.1334 (0.1360) loss_seg: 0.1326 (0.1346) loss_lansim: 0.0903 (0.1162) loss_contra: 0.0017 (0.0202) time: 2.9281 data: 0.0058 max mem: 31630 Epoch: [8] [3390/5278] eta: 1:32:00 lr: 4.016276199159022e-05 loss: 0.1298 (0.1360) loss_seg: 0.1289 (0.1346) loss_lansim: 0.0904 (0.1161) loss_contra: 0.0017 (0.0202) time: 2.9335 data: 0.0058 max mem: 31630 Epoch: [8] [3400/5278] eta: 1:31:30 lr: 4.016057797328289e-05 loss: 0.1298 (0.1360) loss_seg: 0.1289 (0.1346) loss_lansim: 0.0907 (0.1160) loss_contra: 0.0015 (0.0202) time: 2.9295 data: 0.0058 max mem: 31630 Epoch: [8] [3410/5278] eta: 1:31:01 lr: 4.0158393941778637e-05 loss: 0.1298 (0.1360) loss_seg: 0.1289 (0.1346) loss_lansim: 0.0905 (0.1159) loss_contra: 0.0015 (0.0202) time: 2.9238 data: 0.0059 max mem: 31630 Epoch: [8] [3420/5278] eta: 1:30:32 lr: 4.015620989707659e-05 loss: 0.1301 (0.1361) loss_seg: 0.1291 (0.1347) loss_lansim: 0.0904 (0.1159) loss_contra: 0.0015 (0.0202) time: 2.9221 data: 0.0059 max mem: 31630 Epoch: [8] [3430/5278] eta: 1:30:02 lr: 4.015402583917585e-05 loss: 0.1347 (0.1361) loss_seg: 0.1335 (0.1347) loss_lansim: 0.0895 (0.1158) loss_contra: 0.0017 (0.0201) time: 2.9186 data: 0.0059 max mem: 31630 Epoch: [8] [3440/5278] eta: 1:29:33 lr: 4.015184176807557e-05 loss: 0.1381 (0.1362) loss_seg: 0.1373 (0.1348) loss_lansim: 0.0895 (0.1157) loss_contra: 0.0019 (0.0201) time: 2.9196 data: 0.0059 max mem: 31630 Epoch: [8] [3450/5278] eta: 1:29:04 lr: 4.014965768377484e-05 loss: 0.1360 (0.1362) loss_seg: 0.1349 (0.1348) loss_lansim: 0.0895 (0.1156) loss_contra: 0.0019 (0.0201) time: 2.9163 data: 0.0058 max mem: 31630 Epoch: [8] [3460/5278] eta: 1:28:34 lr: 4.014747358627281e-05 loss: 0.1349 (0.1362) loss_seg: 0.1335 (0.1348) loss_lansim: 0.0890 (0.1156) loss_contra: 0.0020 (0.0201) time: 2.9130 data: 0.0058 max mem: 31630 Epoch: [8] [3470/5278] eta: 1:28:05 lr: 4.01452894755686e-05 loss: 0.1301 (0.1361) loss_seg: 0.1291 (0.1348) loss_lansim: 0.0886 (0.1155) loss_contra: 0.0018 (0.0201) time: 2.9116 data: 0.0058 max mem: 31630 Epoch: [8] [3480/5278] eta: 1:27:36 lr: 4.0143105351661306e-05 loss: 0.1360 (0.1363) loss_seg: 0.1348 (0.1349) loss_lansim: 0.0889 (0.1154) loss_contra: 0.0020 (0.0201) time: 2.9180 data: 0.0058 max mem: 31630 Epoch: [8] [3490/5278] eta: 1:27:07 lr: 4.0140921214550076e-05 loss: 0.1381 (0.1363) loss_seg: 0.1373 (0.1349) loss_lansim: 0.0886 (0.1153) loss_contra: 0.0021 (0.0200) time: 2.9159 data: 0.0058 max mem: 31630 Epoch: [8] [3500/5278] eta: 1:26:38 lr: 4.0138737064234015e-05 loss: 0.1381 (0.1363) loss_seg: 0.1373 (0.1349) loss_lansim: 0.0888 (0.1153) loss_contra: 0.0024 (0.0201) time: 2.9197 data: 0.0057 max mem: 31630 Epoch: [8] [3510/5278] eta: 1:26:08 lr: 4.013655290071226e-05 loss: 0.1371 (0.1363) loss_seg: 0.1362 (0.1349) loss_lansim: 0.0886 (0.1152) loss_contra: 0.0025 (0.0201) time: 2.9224 data: 0.0057 max mem: 31630 Epoch: [8] [3520/5278] eta: 1:25:39 lr: 4.013436872398393e-05 loss: 0.1361 (0.1362) loss_seg: 0.1349 (0.1349) loss_lansim: 0.0886 (0.1151) loss_contra: 0.0024 (0.0200) time: 2.9224 data: 0.0056 max mem: 31630 Epoch: [8] [3530/5278] eta: 1:25:10 lr: 4.013218453404814e-05 loss: 0.1317 (0.1362) loss_seg: 0.1306 (0.1349) loss_lansim: 0.0886 (0.1150) loss_contra: 0.0025 (0.0201) time: 2.9240 data: 0.0056 max mem: 31630 Epoch: [8] [3540/5278] eta: 1:24:41 lr: 4.0130000330904e-05 loss: 0.1305 (0.1363) loss_seg: 0.1294 (0.1350) loss_lansim: 0.0889 (0.1150) loss_contra: 0.0022 (0.0201) time: 2.9233 data: 0.0057 max mem: 31630 Epoch: [8] [3550/5278] eta: 1:24:11 lr: 4.0127816114550665e-05 loss: 0.1352 (0.1364) loss_seg: 0.1341 (0.1350) loss_lansim: 0.0893 (0.1149) loss_contra: 0.0018 (0.0200) time: 2.9219 data: 0.0057 max mem: 31630 Epoch: [8] [3560/5278] eta: 1:23:42 lr: 4.0125631884987225e-05 loss: 0.1366 (0.1364) loss_seg: 0.1353 (0.1350) loss_lansim: 0.0890 (0.1148) loss_contra: 0.0019 (0.0202) time: 2.9238 data: 0.0057 max mem: 31630 Epoch: [8] [3570/5278] eta: 1:23:13 lr: 4.0123447642212816e-05 loss: 0.1371 (0.1364) loss_seg: 0.1362 (0.1351) loss_lansim: 0.0886 (0.1148) loss_contra: 0.0026 (0.0202) time: 2.9245 data: 0.0057 max mem: 31630 Epoch: [8] [3580/5278] eta: 1:22:44 lr: 4.0121263386226557e-05 loss: 0.1361 (0.1364) loss_seg: 0.1349 (0.1351) loss_lansim: 0.0885 (0.1147) loss_contra: 0.0029 (0.0201) time: 2.9228 data: 0.0058 max mem: 31630 Epoch: [8] [3590/5278] eta: 1:22:14 lr: 4.011907911702756e-05 loss: 0.1312 (0.1364) loss_seg: 0.1302 (0.1351) loss_lansim: 0.0882 (0.1146) loss_contra: 0.0035 (0.0201) time: 2.9183 data: 0.0058 max mem: 31630 Epoch: [8] [3600/5278] eta: 1:21:45 lr: 4.011689483461496e-05 loss: 0.1317 (0.1364) loss_seg: 0.1306 (0.1351) loss_lansim: 0.0879 (0.1145) loss_contra: 0.0028 (0.0201) time: 2.9169 data: 0.0058 max mem: 31630 Epoch: [8] [3610/5278] eta: 1:21:16 lr: 4.0114710538987865e-05 loss: 0.1318 (0.1364) loss_seg: 0.1308 (0.1351) loss_lansim: 0.0879 (0.1144) loss_contra: 0.0035 (0.0201) time: 2.9188 data: 0.0058 max mem: 31630 Epoch: [8] [3620/5278] eta: 1:20:46 lr: 4.01125262301454e-05 loss: 0.1318 (0.1364) loss_seg: 0.1308 (0.1350) loss_lansim: 0.0872 (0.1144) loss_contra: 0.0037 (0.0201) time: 2.9138 data: 0.0058 max mem: 31630 Epoch: [8] [3630/5278] eta: 1:20:17 lr: 4.0110341908086696e-05 loss: 0.1321 (0.1364) loss_seg: 0.1312 (0.1350) loss_lansim: 0.0861 (0.1143) loss_contra: 0.0031 (0.0200) time: 2.9129 data: 0.0058 max mem: 31630 Epoch: [8] [3640/5278] eta: 1:19:48 lr: 4.0108157572810854e-05 loss: 0.1348 (0.1364) loss_seg: 0.1340 (0.1351) loss_lansim: 0.0860 (0.1142) loss_contra: 0.0043 (0.0201) time: 2.9164 data: 0.0057 max mem: 31630 Epoch: [8] [3650/5278] eta: 1:19:19 lr: 4.010597322431701e-05 loss: 0.1321 (0.1364) loss_seg: 0.1312 (0.1351) loss_lansim: 0.0859 (0.1141) loss_contra: 0.0056 (0.0201) time: 2.9175 data: 0.0058 max mem: 31630 Epoch: [8] [3660/5278] eta: 1:18:49 lr: 4.0103788862604273e-05 loss: 0.1303 (0.1364) loss_seg: 0.1295 (0.1351) loss_lansim: 0.0859 (0.1141) loss_contra: 0.0056 (0.0201) time: 2.9141 data: 0.0057 max mem: 31630 Epoch: [8] [3670/5278] eta: 1:18:20 lr: 4.010160448767177e-05 loss: 0.1270 (0.1364) loss_seg: 0.1262 (0.1350) loss_lansim: 0.0859 (0.1140) loss_contra: 0.0059 (0.0201) time: 2.9171 data: 0.0057 max mem: 31630 Epoch: [8] [3680/5278] eta: 1:17:51 lr: 4.0099420099518625e-05 loss: 0.1270 (0.1363) loss_seg: 0.1262 (0.1350) loss_lansim: 0.0858 (0.1139) loss_contra: 0.0048 (0.0201) time: 2.9118 data: 0.0057 max mem: 31630 Epoch: [8] [3690/5278] eta: 1:17:22 lr: 4.009723569814395e-05 loss: 0.1270 (0.1363) loss_seg: 0.1262 (0.1349) loss_lansim: 0.0857 (0.1138) loss_contra: 0.0059 (0.0201) time: 2.9165 data: 0.0057 max mem: 31630 Epoch: [8] [3700/5278] eta: 1:16:52 lr: 4.009505128354686e-05 loss: 0.1261 (0.1362) loss_seg: 0.1249 (0.1349) loss_lansim: 0.0843 (0.1137) loss_contra: 0.0060 (0.0201) time: 2.9179 data: 0.0056 max mem: 31630 Epoch: [8] [3710/5278] eta: 1:16:23 lr: 4.0092866855726484e-05 loss: 0.1261 (0.1363) loss_seg: 0.1249 (0.1349) loss_lansim: 0.0843 (0.1137) loss_contra: 0.0069 (0.0201) time: 2.9116 data: 0.0057 max mem: 31630 Epoch: [8] [3720/5278] eta: 1:15:54 lr: 4.009068241468194e-05 loss: 0.1280 (0.1363) loss_seg: 0.1268 (0.1350) loss_lansim: 0.0835 (0.1136) loss_contra: 0.0069 (0.0201) time: 2.9147 data: 0.0057 max mem: 31630 Epoch: [8] [3730/5278] eta: 1:15:25 lr: 4.008849796041235e-05 loss: 0.1261 (0.1363) loss_seg: 0.1249 (0.1349) loss_lansim: 0.0838 (0.1135) loss_contra: 0.0060 (0.0201) time: 2.9189 data: 0.0057 max mem: 31630 Epoch: [8] [3740/5278] eta: 1:14:55 lr: 4.008631349291682e-05 loss: 0.1223 (0.1362) loss_seg: 0.1215 (0.1349) loss_lansim: 0.0826 (0.1134) loss_contra: 0.0039 (0.0200) time: 2.9130 data: 0.0057 max mem: 31630 Epoch: [8] [3750/5278] eta: 1:14:26 lr: 4.008412901219449e-05 loss: 0.1213 (0.1362) loss_seg: 0.1204 (0.1348) loss_lansim: 0.0819 (0.1133) loss_contra: 0.0035 (0.0200) time: 2.9141 data: 0.0057 max mem: 31630 Epoch: [8] [3760/5278] eta: 1:13:57 lr: 4.008194451824446e-05 loss: 0.1227 (0.1361) loss_seg: 0.1218 (0.1348) loss_lansim: 0.0815 (0.1132) loss_contra: 0.0026 (0.0200) time: 2.9170 data: 0.0057 max mem: 31630 Epoch: [8] [3770/5278] eta: 1:13:28 lr: 4.0079760011065855e-05 loss: 0.1252 (0.1361) loss_seg: 0.1245 (0.1348) loss_lansim: 0.0813 (0.1131) loss_contra: 0.0025 (0.0200) time: 2.9166 data: 0.0057 max mem: 31630 Epoch: [8] [3780/5278] eta: 1:12:59 lr: 4.0077575490657796e-05 loss: 0.1252 (0.1361) loss_seg: 0.1245 (0.1348) loss_lansim: 0.0810 (0.1130) loss_contra: 0.0025 (0.0199) time: 2.9255 data: 0.0057 max mem: 31630 Epoch: [8] [3790/5278] eta: 1:12:29 lr: 4.00753909570194e-05 loss: 0.1270 (0.1361) loss_seg: 0.1259 (0.1348) loss_lansim: 0.0800 (0.1129) loss_contra: 0.0023 (0.0200) time: 2.9211 data: 0.0056 max mem: 31630 Epoch: [8] [3800/5278] eta: 1:12:00 lr: 4.007320641014978e-05 loss: 0.1276 (0.1362) loss_seg: 0.1268 (0.1348) loss_lansim: 0.0800 (0.1129) loss_contra: 0.0024 (0.0200) time: 2.9126 data: 0.0057 max mem: 31630 Epoch: [8] [3810/5278] eta: 1:11:30 lr: 4.007102185004807e-05 loss: 0.1270 (0.1362) loss_seg: 0.1259 (0.1349) loss_lansim: 0.0797 (0.1128) loss_contra: 0.0021 (0.0200) time: 2.9172 data: 0.0056 max mem: 31630 Epoch: [8] [3820/5278] eta: 1:11:01 lr: 4.006883727671338e-05 loss: 0.1270 (0.1362) loss_seg: 0.1259 (0.1349) loss_lansim: 0.0797 (0.1127) loss_contra: 0.0022 (0.0199) time: 2.9151 data: 0.0056 max mem: 31630 Epoch: [8] [3830/5278] eta: 1:10:32 lr: 4.0066652690144816e-05 loss: 0.1286 (0.1363) loss_seg: 0.1277 (0.1350) loss_lansim: 0.0797 (0.1126) loss_contra: 0.0022 (0.0200) time: 2.9058 data: 0.0057 max mem: 31630 Epoch: [8] [3840/5278] eta: 1:10:02 lr: 4.006446809034152e-05 loss: 0.1326 (0.1363) loss_seg: 0.1317 (0.1350) loss_lansim: 0.0797 (0.1125) loss_contra: 0.0024 (0.0200) time: 2.9047 data: 0.0057 max mem: 31630 Epoch: [8] [3850/5278] eta: 1:09:33 lr: 4.006228347730259e-05 loss: 0.1294 (0.1363) loss_seg: 0.1285 (0.1350) loss_lansim: 0.0792 (0.1124) loss_contra: 0.0026 (0.0200) time: 2.9019 data: 0.0057 max mem: 31630 Epoch: [8] [3860/5278] eta: 1:09:04 lr: 4.006009885102715e-05 loss: 0.1338 (0.1364) loss_seg: 0.1330 (0.1350) loss_lansim: 0.0790 (0.1123) loss_contra: 0.0042 (0.0200) time: 2.8999 data: 0.0057 max mem: 31630 Epoch: [8] [3870/5278] eta: 1:08:34 lr: 4.005791421151432e-05 loss: 0.1373 (0.1363) loss_seg: 0.1365 (0.1350) loss_lansim: 0.0792 (0.1123) loss_contra: 0.0047 (0.0200) time: 2.8906 data: 0.0058 max mem: 31630 Epoch: [8] [3880/5278] eta: 1:08:05 lr: 4.005572955876321e-05 loss: 0.1412 (0.1365) loss_seg: 0.1393 (0.1352) loss_lansim: 0.0793 (0.1122) loss_contra: 0.0050 (0.0200) time: 2.8821 data: 0.0057 max mem: 31630 Epoch: [8] [3890/5278] eta: 1:07:36 lr: 4.0053544892772956e-05 loss: 0.1412 (0.1365) loss_seg: 0.1392 (0.1352) loss_lansim: 0.0793 (0.1121) loss_contra: 0.0046 (0.0200) time: 2.8894 data: 0.0058 max mem: 31630 Epoch: [8] [3900/5278] eta: 1:07:06 lr: 4.0051360213542655e-05 loss: 0.1373 (0.1365) loss_seg: 0.1365 (0.1352) loss_lansim: 0.0785 (0.1120) loss_contra: 0.0046 (0.0200) time: 2.8963 data: 0.0058 max mem: 31630 Epoch: [8] [3910/5278] eta: 1:06:37 lr: 4.004917552107143e-05 loss: 0.1331 (0.1365) loss_seg: 0.1323 (0.1352) loss_lansim: 0.0782 (0.1119) loss_contra: 0.0043 (0.0200) time: 2.8919 data: 0.0058 max mem: 31630 Epoch: [8] [3920/5278] eta: 1:06:08 lr: 4.0046990815358405e-05 loss: 0.1322 (0.1365) loss_seg: 0.1315 (0.1352) loss_lansim: 0.0778 (0.1118) loss_contra: 0.0034 (0.0199) time: 2.8977 data: 0.0059 max mem: 31630 Epoch: [8] [3930/5278] eta: 1:05:39 lr: 4.004480609640269e-05 loss: 0.1331 (0.1365) loss_seg: 0.1323 (0.1352) loss_lansim: 0.0768 (0.1117) loss_contra: 0.0038 (0.0199) time: 2.8996 data: 0.0059 max mem: 31630 Epoch: [8] [3940/5278] eta: 1:05:09 lr: 4.004262136420342e-05 loss: 0.1304 (0.1365) loss_seg: 0.1296 (0.1352) loss_lansim: 0.0762 (0.1116) loss_contra: 0.0033 (0.0199) time: 2.9043 data: 0.0059 max mem: 31630 Epoch: [8] [3950/5278] eta: 1:04:40 lr: 4.004043661875968e-05 loss: 0.1370 (0.1365) loss_seg: 0.1361 (0.1352) loss_lansim: 0.0763 (0.1115) loss_contra: 0.0034 (0.0199) time: 2.9106 data: 0.0059 max mem: 31630 Epoch: [8] [3960/5278] eta: 1:04:11 lr: 4.0038251860070606e-05 loss: 0.1344 (0.1365) loss_seg: 0.1332 (0.1352) loss_lansim: 0.0754 (0.1114) loss_contra: 0.0029 (0.0199) time: 2.9071 data: 0.0059 max mem: 31630 Epoch: [8] [3970/5278] eta: 1:03:42 lr: 4.0036067088135314e-05 loss: 0.1344 (0.1366) loss_seg: 0.1332 (0.1352) loss_lansim: 0.0751 (0.1113) loss_contra: 0.0029 (0.0199) time: 2.9174 data: 0.0058 max mem: 31630 Epoch: [8] [3980/5278] eta: 1:03:12 lr: 4.0033882302952915e-05 loss: 0.1322 (0.1366) loss_seg: 0.1315 (0.1353) loss_lansim: 0.0748 (0.1112) loss_contra: 0.0028 (0.0200) time: 2.9213 data: 0.0059 max mem: 31630 Epoch: [8] [3990/5278] eta: 1:02:43 lr: 4.0031697504522534e-05 loss: 0.1284 (0.1365) loss_seg: 0.1276 (0.1352) loss_lansim: 0.0747 (0.1112) loss_contra: 0.0030 (0.0200) time: 2.9180 data: 0.0059 max mem: 31630 Epoch: [8] [4000/5278] eta: 1:02:14 lr: 4.002951269284328e-05 loss: 0.1298 (0.1365) loss_seg: 0.1287 (0.1352) loss_lansim: 0.0742 (0.1111) loss_contra: 0.0030 (0.0200) time: 2.9165 data: 0.0059 max mem: 31630 Epoch: [8] [4010/5278] eta: 1:01:45 lr: 4.0027327867914264e-05 loss: 0.1298 (0.1366) loss_seg: 0.1287 (0.1352) loss_lansim: 0.0744 (0.1110) loss_contra: 0.0030 (0.0200) time: 2.9211 data: 0.0059 max mem: 31630 Epoch: [8] [4020/5278] eta: 1:01:16 lr: 4.002514302973462e-05 loss: 0.1299 (0.1365) loss_seg: 0.1291 (0.1352) loss_lansim: 0.0746 (0.1109) loss_contra: 0.0030 (0.0200) time: 2.9273 data: 0.0059 max mem: 31630 Epoch: [8] [4030/5278] eta: 1:00:47 lr: 4.002295817830344e-05 loss: 0.1298 (0.1365) loss_seg: 0.1287 (0.1352) loss_lansim: 0.0746 (0.1108) loss_contra: 0.0031 (0.0200) time: 2.9308 data: 0.0059 max mem: 31630 Epoch: [8] [4040/5278] eta: 1:00:17 lr: 4.002077331361987e-05 loss: 0.1299 (0.1365) loss_seg: 0.1290 (0.1352) loss_lansim: 0.0743 (0.1107) loss_contra: 0.0042 (0.0200) time: 2.9263 data: 0.0059 max mem: 31630 Epoch: [8] [4050/5278] eta: 0:59:48 lr: 4.0018588435683e-05 loss: 0.1299 (0.1365) loss_seg: 0.1290 (0.1352) loss_lansim: 0.0743 (0.1106) loss_contra: 0.0043 (0.0200) time: 2.9272 data: 0.0059 max mem: 31630 Epoch: [8] [4060/5278] eta: 0:59:19 lr: 4.0016403544491955e-05 loss: 0.1302 (0.1366) loss_seg: 0.1294 (0.1353) loss_lansim: 0.0743 (0.1105) loss_contra: 0.0044 (0.0201) time: 2.9275 data: 0.0059 max mem: 31630 Epoch: [8] [4070/5278] eta: 0:58:50 lr: 4.0014218640045854e-05 loss: 0.1299 (0.1366) loss_seg: 0.1290 (0.1353) loss_lansim: 0.0742 (0.1104) loss_contra: 0.0055 (0.0201) time: 2.9272 data: 0.0059 max mem: 31630 Epoch: [8] [4080/5278] eta: 0:58:20 lr: 4.00120337223438e-05 loss: 0.1299 (0.1366) loss_seg: 0.1290 (0.1352) loss_lansim: 0.0738 (0.1103) loss_contra: 0.0052 (0.0200) time: 2.9243 data: 0.0059 max mem: 31630 Epoch: [8] [4090/5278] eta: 0:57:51 lr: 4.000984879138492e-05 loss: 0.1302 (0.1365) loss_seg: 0.1294 (0.1352) loss_lansim: 0.0738 (0.1103) loss_contra: 0.0046 (0.0200) time: 2.9267 data: 0.0060 max mem: 31630 Epoch: [8] [4100/5278] eta: 0:57:22 lr: 4.000766384716833e-05 loss: 0.1298 (0.1365) loss_seg: 0.1289 (0.1352) loss_lansim: 0.0746 (0.1102) loss_contra: 0.0046 (0.0200) time: 2.9280 data: 0.0060 max mem: 31630 Epoch: [8] [4110/5278] eta: 0:56:53 lr: 4.000547888969314e-05 loss: 0.1304 (0.1365) loss_seg: 0.1296 (0.1352) loss_lansim: 0.0747 (0.1101) loss_contra: 0.0056 (0.0200) time: 2.9265 data: 0.0061 max mem: 31630 Epoch: [8] [4120/5278] eta: 0:56:24 lr: 4.000329391895846e-05 loss: 0.1302 (0.1365) loss_seg: 0.1294 (0.1352) loss_lansim: 0.0739 (0.1100) loss_contra: 0.0048 (0.0200) time: 2.9206 data: 0.0062 max mem: 31630 Epoch: [8] [4130/5278] eta: 0:55:54 lr: 4.0001108934963425e-05 loss: 0.1304 (0.1365) loss_seg: 0.1296 (0.1352) loss_lansim: 0.0743 (0.1099) loss_contra: 0.0048 (0.0200) time: 2.9209 data: 0.0061 max mem: 31630 Epoch: [8] [4140/5278] eta: 0:55:25 lr: 3.9998923937707117e-05 loss: 0.1321 (0.1366) loss_seg: 0.1309 (0.1353) loss_lansim: 0.0743 (0.1098) loss_contra: 0.0046 (0.0200) time: 2.9229 data: 0.0062 max mem: 31630 Epoch: [8] [4150/5278] eta: 0:54:56 lr: 3.999673892718868e-05 loss: 0.1332 (0.1366) loss_seg: 0.1325 (0.1353) loss_lansim: 0.0738 (0.1097) loss_contra: 0.0033 (0.0200) time: 2.9215 data: 0.0062 max mem: 31630 Epoch: [8] [4160/5278] eta: 0:54:27 lr: 3.9994553903407215e-05 loss: 0.1287 (0.1366) loss_seg: 0.1279 (0.1353) loss_lansim: 0.0744 (0.1097) loss_contra: 0.0033 (0.0199) time: 2.9220 data: 0.0062 max mem: 31630 Epoch: [8] [4170/5278] eta: 0:53:57 lr: 3.999236886636183e-05 loss: 0.1247 (0.1365) loss_seg: 0.1240 (0.1352) loss_lansim: 0.0745 (0.1096) loss_contra: 0.0030 (0.0199) time: 2.9181 data: 0.0062 max mem: 31630 Epoch: [8] [4180/5278] eta: 0:53:28 lr: 3.999018381605166e-05 loss: 0.1281 (0.1366) loss_seg: 0.1273 (0.1353) loss_lansim: 0.0745 (0.1095) loss_contra: 0.0030 (0.0199) time: 2.9224 data: 0.0062 max mem: 31630 Epoch: [8] [4190/5278] eta: 0:52:59 lr: 3.9987998752475805e-05 loss: 0.1356 (0.1367) loss_seg: 0.1349 (0.1354) loss_lansim: 0.0745 (0.1094) loss_contra: 0.0034 (0.0199) time: 2.9164 data: 0.0062 max mem: 31630 Epoch: [8] [4200/5278] eta: 0:52:30 lr: 3.998581367563338e-05 loss: 0.1402 (0.1367) loss_seg: 0.1382 (0.1354) loss_lansim: 0.0743 (0.1093) loss_contra: 0.0030 (0.0199) time: 2.9190 data: 0.0061 max mem: 31630 Epoch: [8] [4210/5278] eta: 0:52:00 lr: 3.9983628585523496e-05 loss: 0.1426 (0.1367) loss_seg: 0.1412 (0.1354) loss_lansim: 0.0744 (0.1093) loss_contra: 0.0027 (0.0199) time: 2.9195 data: 0.0060 max mem: 31630 Epoch: [8] [4220/5278] eta: 0:51:31 lr: 3.998144348214527e-05 loss: 0.1420 (0.1368) loss_seg: 0.1410 (0.1355) loss_lansim: 0.0756 (0.1092) loss_contra: 0.0032 (0.0199) time: 2.9132 data: 0.0059 max mem: 31630 Epoch: [8] [4230/5278] eta: 0:51:02 lr: 3.997925836549783e-05 loss: 0.1409 (0.1368) loss_seg: 0.1400 (0.1355) loss_lansim: 0.0758 (0.1091) loss_contra: 0.0029 (0.0199) time: 2.9126 data: 0.0059 max mem: 31630 Epoch: [8] [4240/5278] eta: 0:50:33 lr: 3.9977073235580266e-05 loss: 0.1353 (0.1367) loss_seg: 0.1342 (0.1355) loss_lansim: 0.0760 (0.1090) loss_contra: 0.0025 (0.0198) time: 2.9150 data: 0.0059 max mem: 31630 Epoch: [8] [4250/5278] eta: 0:50:03 lr: 3.99748880923917e-05 loss: 0.1377 (0.1367) loss_seg: 0.1369 (0.1355) loss_lansim: 0.0763 (0.1090) loss_contra: 0.0025 (0.0198) time: 2.9147 data: 0.0059 max mem: 31630 Epoch: [8] [4260/5278] eta: 0:49:34 lr: 3.9972702935931254e-05 loss: 0.1397 (0.1368) loss_seg: 0.1390 (0.1355) loss_lansim: 0.0761 (0.1089) loss_contra: 0.0024 (0.0198) time: 2.9175 data: 0.0060 max mem: 31630 Epoch: [8] [4270/5278] eta: 0:49:05 lr: 3.997051776619803e-05 loss: 0.1386 (0.1367) loss_seg: 0.1378 (0.1355) loss_lansim: 0.0762 (0.1088) loss_contra: 0.0024 (0.0198) time: 2.9199 data: 0.0060 max mem: 31630 Epoch: [8] [4280/5278] eta: 0:48:36 lr: 3.9968332583191145e-05 loss: 0.1386 (0.1368) loss_seg: 0.1378 (0.1355) loss_lansim: 0.0764 (0.1087) loss_contra: 0.0025 (0.0198) time: 2.9193 data: 0.0061 max mem: 31630 Epoch: [8] [4290/5278] eta: 0:48:07 lr: 3.996614738690971e-05 loss: 0.1378 (0.1369) loss_seg: 0.1369 (0.1356) loss_lansim: 0.0763 (0.1087) loss_contra: 0.0026 (0.0198) time: 2.9233 data: 0.0062 max mem: 31630 Epoch: [8] [4300/5278] eta: 0:47:37 lr: 3.9963962177352844e-05 loss: 0.1376 (0.1369) loss_seg: 0.1344 (0.1356) loss_lansim: 0.0765 (0.1086) loss_contra: 0.0027 (0.0199) time: 2.9231 data: 0.0062 max mem: 31630 Epoch: [8] [4310/5278] eta: 0:47:08 lr: 3.996177695451966e-05 loss: 0.1376 (0.1369) loss_seg: 0.1344 (0.1356) loss_lansim: 0.0765 (0.1085) loss_contra: 0.0033 (0.0199) time: 2.9230 data: 0.0062 max mem: 31630 Epoch: [8] [4320/5278] eta: 0:46:39 lr: 3.9959591718409264e-05 loss: 0.1309 (0.1368) loss_seg: 0.1300 (0.1356) loss_lansim: 0.0764 (0.1084) loss_contra: 0.0032 (0.0199) time: 2.9265 data: 0.0062 max mem: 31630 Epoch: [8] [4330/5278] eta: 0:46:10 lr: 3.9957406469020765e-05 loss: 0.1331 (0.1369) loss_seg: 0.1318 (0.1356) loss_lansim: 0.0763 (0.1084) loss_contra: 0.0033 (0.0198) time: 2.9283 data: 0.0062 max mem: 31630 Epoch: [8] [4340/5278] eta: 0:45:41 lr: 3.995522120635329e-05 loss: 0.1331 (0.1369) loss_seg: 0.1318 (0.1356) loss_lansim: 0.0762 (0.1083) loss_contra: 0.0035 (0.0198) time: 2.9287 data: 0.0063 max mem: 31630 Epoch: [8] [4350/5278] eta: 0:45:11 lr: 3.9953035930405944e-05 loss: 0.1309 (0.1369) loss_seg: 0.1300 (0.1356) loss_lansim: 0.0759 (0.1082) loss_contra: 0.0048 (0.0198) time: 2.9248 data: 0.0062 max mem: 31630 Epoch: [8] [4360/5278] eta: 0:44:42 lr: 3.9950850641177826e-05 loss: 0.1309 (0.1369) loss_seg: 0.1300 (0.1356) loss_lansim: 0.0756 (0.1081) loss_contra: 0.0045 (0.0198) time: 2.9294 data: 0.0062 max mem: 31630 Epoch: [8] [4370/5278] eta: 0:44:13 lr: 3.994866533866807e-05 loss: 0.1330 (0.1370) loss_seg: 0.1318 (0.1357) loss_lansim: 0.0748 (0.1080) loss_contra: 0.0051 (0.0199) time: 2.9302 data: 0.0061 max mem: 31630 Epoch: [8] [4380/5278] eta: 0:43:44 lr: 3.994648002287578e-05 loss: 0.1331 (0.1370) loss_seg: 0.1322 (0.1357) loss_lansim: 0.0743 (0.1080) loss_contra: 0.0051 (0.0198) time: 2.9273 data: 0.0061 max mem: 31630 Epoch: [8] [4390/5278] eta: 0:43:15 lr: 3.994429469380006e-05 loss: 0.1331 (0.1371) loss_seg: 0.1322 (0.1358) loss_lansim: 0.0742 (0.1079) loss_contra: 0.0035 (0.0198) time: 2.9270 data: 0.0061 max mem: 31630 Epoch: [8] [4400/5278] eta: 0:42:45 lr: 3.994210935144003e-05 loss: 0.1366 (0.1371) loss_seg: 0.1358 (0.1358) loss_lansim: 0.0737 (0.1078) loss_contra: 0.0035 (0.0199) time: 2.9291 data: 0.0061 max mem: 31630 Epoch: [8] [4410/5278] eta: 0:42:16 lr: 3.9939923995794806e-05 loss: 0.1375 (0.1371) loss_seg: 0.1368 (0.1358) loss_lansim: 0.0731 (0.1077) loss_contra: 0.0030 (0.0198) time: 2.9270 data: 0.0062 max mem: 31630 Epoch: [8] [4420/5278] eta: 0:41:47 lr: 3.993773862686348e-05 loss: 0.1406 (0.1371) loss_seg: 0.1399 (0.1358) loss_lansim: 0.0724 (0.1076) loss_contra: 0.0032 (0.0198) time: 2.9276 data: 0.0062 max mem: 31630 Epoch: [8] [4430/5278] eta: 0:41:18 lr: 3.993555324464519e-05 loss: 0.1415 (0.1371) loss_seg: 0.1407 (0.1358) loss_lansim: 0.0724 (0.1076) loss_contra: 0.0030 (0.0198) time: 2.9302 data: 0.0062 max mem: 31630 Epoch: [8] [4440/5278] eta: 0:40:48 lr: 3.993336784913903e-05 loss: 0.1414 (0.1371) loss_seg: 0.1401 (0.1358) loss_lansim: 0.0723 (0.1075) loss_contra: 0.0033 (0.0198) time: 2.9264 data: 0.0062 max mem: 31630 Epoch: [8] [4450/5278] eta: 0:40:19 lr: 3.993118244034412e-05 loss: 0.1420 (0.1371) loss_seg: 0.1413 (0.1358) loss_lansim: 0.0722 (0.1074) loss_contra: 0.0030 (0.0197) time: 2.9264 data: 0.0062 max mem: 31630 Epoch: [8] [4460/5278] eta: 0:39:50 lr: 3.992899701825956e-05 loss: 0.1423 (0.1371) loss_seg: 0.1414 (0.1359) loss_lansim: 0.0721 (0.1073) loss_contra: 0.0030 (0.0197) time: 2.9294 data: 0.0063 max mem: 31630 Epoch: [8] [4470/5278] eta: 0:39:21 lr: 3.992681158288447e-05 loss: 0.1414 (0.1371) loss_seg: 0.1401 (0.1358) loss_lansim: 0.0721 (0.1073) loss_contra: 0.0028 (0.0197) time: 2.9252 data: 0.0064 max mem: 31630 Epoch: [8] [4480/5278] eta: 0:38:52 lr: 3.992462613421796e-05 loss: 0.1418 (0.1372) loss_seg: 0.1410 (0.1359) loss_lansim: 0.0717 (0.1072) loss_contra: 0.0024 (0.0196) time: 2.9231 data: 0.0064 max mem: 31630 Epoch: [8] [4490/5278] eta: 0:38:22 lr: 3.992244067225913e-05 loss: 0.1395 (0.1372) loss_seg: 0.1388 (0.1359) loss_lansim: 0.0711 (0.1071) loss_contra: 0.0024 (0.0196) time: 2.9249 data: 0.0064 max mem: 31630 Epoch: [8] [4500/5278] eta: 0:37:53 lr: 3.992025519700711e-05 loss: 0.1395 (0.1372) loss_seg: 0.1388 (0.1360) loss_lansim: 0.0713 (0.1070) loss_contra: 0.0025 (0.0196) time: 2.9201 data: 0.0064 max mem: 31630 Epoch: [8] [4510/5278] eta: 0:37:24 lr: 3.9918069708460995e-05 loss: 0.1376 (0.1372) loss_seg: 0.1367 (0.1360) loss_lansim: 0.0716 (0.1069) loss_contra: 0.0022 (0.0196) time: 2.9224 data: 0.0064 max mem: 31630 Epoch: [8] [4520/5278] eta: 0:36:55 lr: 3.99158842066199e-05 loss: 0.1390 (0.1372) loss_seg: 0.1383 (0.1360) loss_lansim: 0.0712 (0.1069) loss_contra: 0.0025 (0.0196) time: 2.9281 data: 0.0064 max mem: 31630 Epoch: [8] [4530/5278] eta: 0:36:25 lr: 3.991369869148294e-05 loss: 0.1377 (0.1372) loss_seg: 0.1368 (0.1360) loss_lansim: 0.0706 (0.1068) loss_contra: 0.0028 (0.0196) time: 2.9233 data: 0.0064 max mem: 31630 Epoch: [8] [4540/5278] eta: 0:35:56 lr: 3.991151316304922e-05 loss: 0.1390 (0.1373) loss_seg: 0.1383 (0.1360) loss_lansim: 0.0700 (0.1067) loss_contra: 0.0026 (0.0195) time: 2.9254 data: 0.0065 max mem: 31630 Epoch: [8] [4550/5278] eta: 0:35:27 lr: 3.990932762131785e-05 loss: 0.1376 (0.1373) loss_seg: 0.1368 (0.1360) loss_lansim: 0.0697 (0.1066) loss_contra: 0.0022 (0.0195) time: 2.9301 data: 0.0065 max mem: 31630 Epoch: [8] [4560/5278] eta: 0:34:58 lr: 3.990714206628794e-05 loss: 0.1356 (0.1373) loss_seg: 0.1350 (0.1360) loss_lansim: 0.0697 (0.1065) loss_contra: 0.0026 (0.0195) time: 2.9198 data: 0.0064 max mem: 31630 Epoch: [8] [4570/5278] eta: 0:34:29 lr: 3.99049564979586e-05 loss: 0.1376 (0.1373) loss_seg: 0.1368 (0.1360) loss_lansim: 0.0697 (0.1065) loss_contra: 0.0025 (0.0195) time: 2.9213 data: 0.0063 max mem: 31630 Epoch: [8] [4580/5278] eta: 0:33:59 lr: 3.990277091632894e-05 loss: 0.1323 (0.1372) loss_seg: 0.1315 (0.1359) loss_lansim: 0.0692 (0.1064) loss_contra: 0.0017 (0.0194) time: 2.9283 data: 0.0063 max mem: 31630 Epoch: [8] [4590/5278] eta: 0:33:30 lr: 3.9900585321398074e-05 loss: 0.1328 (0.1372) loss_seg: 0.1316 (0.1359) loss_lansim: 0.0693 (0.1063) loss_contra: 0.0016 (0.0194) time: 2.9206 data: 0.0062 max mem: 31630 Epoch: [8] [4600/5278] eta: 0:33:01 lr: 3.989839971316511e-05 loss: 0.1323 (0.1372) loss_seg: 0.1315 (0.1359) loss_lansim: 0.0693 (0.1062) loss_contra: 0.0016 (0.0194) time: 2.9269 data: 0.0062 max mem: 31630 Epoch: [8] [4610/5278] eta: 0:32:32 lr: 3.9896214091629155e-05 loss: 0.1320 (0.1372) loss_seg: 0.1313 (0.1359) loss_lansim: 0.0692 (0.1061) loss_contra: 0.0016 (0.0193) time: 2.9274 data: 0.0062 max mem: 31630 Epoch: [8] [4620/5278] eta: 0:32:02 lr: 3.989402845678931e-05 loss: 0.1279 (0.1372) loss_seg: 0.1270 (0.1360) loss_lansim: 0.0698 (0.1061) loss_contra: 0.0013 (0.0193) time: 2.9168 data: 0.0062 max mem: 31630 Epoch: [8] [4630/5278] eta: 0:31:33 lr: 3.98918428086447e-05 loss: 0.1320 (0.1372) loss_seg: 0.1313 (0.1360) loss_lansim: 0.0701 (0.1060) loss_contra: 0.0012 (0.0193) time: 2.9221 data: 0.0062 max mem: 31630 Epoch: [8] [4640/5278] eta: 0:31:04 lr: 3.988965714719442e-05 loss: 0.1323 (0.1373) loss_seg: 0.1313 (0.1360) loss_lansim: 0.0704 (0.1059) loss_contra: 0.0012 (0.0193) time: 2.9244 data: 0.0061 max mem: 31630 Epoch: [8] [4650/5278] eta: 0:30:35 lr: 3.9887471472437595e-05 loss: 0.1228 (0.1372) loss_seg: 0.1218 (0.1360) loss_lansim: 0.0705 (0.1058) loss_contra: 0.0014 (0.0193) time: 2.9249 data: 0.0062 max mem: 31630 Epoch: [8] [4660/5278] eta: 0:30:06 lr: 3.9885285784373314e-05 loss: 0.1198 (0.1372) loss_seg: 0.1191 (0.1360) loss_lansim: 0.0705 (0.1058) loss_contra: 0.0014 (0.0193) time: 2.9347 data: 0.0062 max mem: 31630 Epoch: [8] [4670/5278] eta: 0:29:36 lr: 3.98831000830007e-05 loss: 0.1199 (0.1372) loss_seg: 0.1193 (0.1360) loss_lansim: 0.0703 (0.1057) loss_contra: 0.0015 (0.0194) time: 2.9367 data: 0.0062 max mem: 31630 Epoch: [8] [4680/5278] eta: 0:29:07 lr: 3.988091436831886e-05 loss: 0.1315 (0.1373) loss_seg: 0.1302 (0.1360) loss_lansim: 0.0704 (0.1056) loss_contra: 0.0020 (0.0195) time: 2.9285 data: 0.0062 max mem: 31630 Epoch: [8] [4690/5278] eta: 0:28:38 lr: 3.98787286403269e-05 loss: 0.1280 (0.1372) loss_seg: 0.1252 (0.1360) loss_lansim: 0.0699 (0.1055) loss_contra: 0.0028 (0.0195) time: 2.9350 data: 0.0062 max mem: 31630 Epoch: [8] [4700/5278] eta: 0:28:09 lr: 3.987654289902393e-05 loss: 0.1280 (0.1372) loss_seg: 0.1266 (0.1360) loss_lansim: 0.0701 (0.1055) loss_contra: 0.0038 (0.0195) time: 2.9282 data: 0.0062 max mem: 31630 Epoch: [8] [4710/5278] eta: 0:27:40 lr: 3.987435714440905e-05 loss: 0.1280 (0.1372) loss_seg: 0.1266 (0.1360) loss_lansim: 0.0703 (0.1054) loss_contra: 0.0048 (0.0195) time: 2.9287 data: 0.0062 max mem: 31630 Epoch: [8] [4720/5278] eta: 0:27:10 lr: 3.987217137648138e-05 loss: 0.1282 (0.1373) loss_seg: 0.1275 (0.1360) loss_lansim: 0.0701 (0.1053) loss_contra: 0.0050 (0.0195) time: 2.9396 data: 0.0061 max mem: 31630 Epoch: [8] [4730/5278] eta: 0:26:41 lr: 3.9869985595240025e-05 loss: 0.1274 (0.1373) loss_seg: 0.1252 (0.1360) loss_lansim: 0.0697 (0.1052) loss_contra: 0.0056 (0.0195) time: 2.9317 data: 0.0061 max mem: 31630 Epoch: [8] [4740/5278] eta: 0:26:12 lr: 3.986779980068408e-05 loss: 0.1247 (0.1373) loss_seg: 0.1219 (0.1360) loss_lansim: 0.0701 (0.1052) loss_contra: 0.0050 (0.0195) time: 2.9294 data: 0.0062 max mem: 31630 Epoch: [8] [4750/5278] eta: 0:25:43 lr: 3.986561399281267e-05 loss: 0.1275 (0.1373) loss_seg: 0.1266 (0.1360) loss_lansim: 0.0699 (0.1051) loss_contra: 0.0063 (0.0195) time: 2.9277 data: 0.0062 max mem: 31630 Epoch: [8] [4760/5278] eta: 0:25:13 lr: 3.98634281716249e-05 loss: 0.1275 (0.1373) loss_seg: 0.1268 (0.1360) loss_lansim: 0.0697 (0.1050) loss_contra: 0.0050 (0.0195) time: 2.9230 data: 0.0062 max mem: 31630 Epoch: [8] [4770/5278] eta: 0:24:44 lr: 3.986124233711987e-05 loss: 0.1256 (0.1372) loss_seg: 0.1249 (0.1360) loss_lansim: 0.0693 (0.1049) loss_contra: 0.0040 (0.0195) time: 2.9243 data: 0.0061 max mem: 31630 Epoch: [8] [4780/5278] eta: 0:24:15 lr: 3.985905648929669e-05 loss: 0.1247 (0.1372) loss_seg: 0.1219 (0.1360) loss_lansim: 0.0691 (0.1049) loss_contra: 0.0038 (0.0195) time: 2.9311 data: 0.0062 max mem: 31630 Epoch: [8] [4790/5278] eta: 0:23:46 lr: 3.985687062815447e-05 loss: 0.1248 (0.1372) loss_seg: 0.1241 (0.1360) loss_lansim: 0.0690 (0.1048) loss_contra: 0.0031 (0.0195) time: 2.9264 data: 0.0061 max mem: 31630 Epoch: [8] [4800/5278] eta: 0:23:17 lr: 3.9854684753692315e-05 loss: 0.1224 (0.1372) loss_seg: 0.1215 (0.1359) loss_lansim: 0.0678 (0.1047) loss_contra: 0.0026 (0.0195) time: 2.9289 data: 0.0061 max mem: 31630 Epoch: [8] [4810/5278] eta: 0:22:47 lr: 3.985249886590934e-05 loss: 0.1247 (0.1372) loss_seg: 0.1234 (0.1359) loss_lansim: 0.0676 (0.1046) loss_contra: 0.0022 (0.0195) time: 2.9309 data: 0.0061 max mem: 31630 Epoch: [8] [4820/5278] eta: 0:22:18 lr: 3.985031296480464e-05 loss: 0.1248 (0.1372) loss_seg: 0.1241 (0.1359) loss_lansim: 0.0675 (0.1046) loss_contra: 0.0022 (0.0196) time: 2.9237 data: 0.0061 max mem: 31630 Epoch: [8] [4830/5278] eta: 0:21:49 lr: 3.984812705037732e-05 loss: 0.1224 (0.1371) loss_seg: 0.1217 (0.1359) loss_lansim: 0.0678 (0.1045) loss_contra: 0.0018 (0.0195) time: 2.9297 data: 0.0061 max mem: 31630 Epoch: [8] [4840/5278] eta: 0:21:20 lr: 3.984594112262651e-05 loss: 0.1248 (0.1372) loss_seg: 0.1241 (0.1359) loss_lansim: 0.0675 (0.1044) loss_contra: 0.0020 (0.0195) time: 2.9261 data: 0.0060 max mem: 31630 Epoch: [8] [4850/5278] eta: 0:20:50 lr: 3.984375518155128e-05 loss: 0.1261 (0.1373) loss_seg: 0.1255 (0.1360) loss_lansim: 0.0675 (0.1044) loss_contra: 0.0020 (0.0196) time: 2.9255 data: 0.0059 max mem: 31630 Epoch: [8] [4860/5278] eta: 0:20:21 lr: 3.9841569227150774e-05 loss: 0.1293 (0.1373) loss_seg: 0.1273 (0.1361) loss_lansim: 0.0675 (0.1043) loss_contra: 0.0020 (0.0195) time: 2.9298 data: 0.0059 max mem: 31630 Epoch: [8] [4870/5278] eta: 0:19:52 lr: 3.983938325942407e-05 loss: 0.1326 (0.1373) loss_seg: 0.1318 (0.1361) loss_lansim: 0.0682 (0.1042) loss_contra: 0.0021 (0.0195) time: 2.9266 data: 0.0059 max mem: 31630 Epoch: [8] [4880/5278] eta: 0:19:23 lr: 3.983719727837029e-05 loss: 0.1358 (0.1373) loss_seg: 0.1346 (0.1361) loss_lansim: 0.0690 (0.1042) loss_contra: 0.0020 (0.0195) time: 2.9240 data: 0.0058 max mem: 31630 Epoch: [8] [4890/5278] eta: 0:18:54 lr: 3.9835011283988535e-05 loss: 0.1460 (0.1374) loss_seg: 0.1452 (0.1362) loss_lansim: 0.0696 (0.1041) loss_contra: 0.0021 (0.0195) time: 2.9266 data: 0.0058 max mem: 31630 Epoch: [8] [4900/5278] eta: 0:18:24 lr: 3.9832825276277906e-05 loss: 0.1466 (0.1374) loss_seg: 0.1457 (0.1362) loss_lansim: 0.0697 (0.1040) loss_contra: 0.0020 (0.0195) time: 2.9246 data: 0.0058 max mem: 31630 Epoch: [8] [4910/5278] eta: 0:17:55 lr: 3.983063925523752e-05 loss: 0.1459 (0.1374) loss_seg: 0.1451 (0.1362) loss_lansim: 0.0696 (0.1040) loss_contra: 0.0021 (0.0194) time: 2.9271 data: 0.0058 max mem: 31630 Epoch: [8] [4920/5278] eta: 0:17:26 lr: 3.982845322086648e-05 loss: 0.1448 (0.1374) loss_seg: 0.1440 (0.1362) loss_lansim: 0.0697 (0.1039) loss_contra: 0.0021 (0.0194) time: 2.9340 data: 0.0058 max mem: 31630 Epoch: [8] [4930/5278] eta: 0:16:57 lr: 3.9826267173163884e-05 loss: 0.1459 (0.1374) loss_seg: 0.1451 (0.1362) loss_lansim: 0.0696 (0.1038) loss_contra: 0.0024 (0.0195) time: 2.9300 data: 0.0058 max mem: 31630 Epoch: [8] [4940/5278] eta: 0:16:27 lr: 3.9824081112128844e-05 loss: 0.1420 (0.1374) loss_seg: 0.1413 (0.1362) loss_lansim: 0.0696 (0.1037) loss_contra: 0.0024 (0.0196) time: 2.9342 data: 0.0059 max mem: 31630 Epoch: [8] [4950/5278] eta: 0:15:58 lr: 3.982189503776047e-05 loss: 0.1395 (0.1375) loss_seg: 0.1386 (0.1362) loss_lansim: 0.0696 (0.1037) loss_contra: 0.0024 (0.0197) time: 2.9367 data: 0.0059 max mem: 31630 Epoch: [8] [4960/5278] eta: 0:15:29 lr: 3.981970895005785e-05 loss: 0.1395 (0.1375) loss_seg: 0.1386 (0.1362) loss_lansim: 0.0697 (0.1036) loss_contra: 0.0025 (0.0197) time: 2.9310 data: 0.0059 max mem: 31630 Epoch: [8] [4970/5278] eta: 0:15:00 lr: 3.981752284902012e-05 loss: 0.1342 (0.1374) loss_seg: 0.1336 (0.1362) loss_lansim: 0.0700 (0.1035) loss_contra: 0.0024 (0.0196) time: 2.9288 data: 0.0059 max mem: 31630 Epoch: [8] [4980/5278] eta: 0:14:31 lr: 3.981533673464635e-05 loss: 0.1321 (0.1374) loss_seg: 0.1308 (0.1362) loss_lansim: 0.0692 (0.1035) loss_contra: 0.0037 (0.0197) time: 2.9298 data: 0.0058 max mem: 31630 Epoch: [8] [4990/5278] eta: 0:14:01 lr: 3.981315060693567e-05 loss: 0.1279 (0.1374) loss_seg: 0.1269 (0.1362) loss_lansim: 0.0692 (0.1034) loss_contra: 0.0034 (0.0197) time: 2.9324 data: 0.0058 max mem: 31630 Epoch: [8] [5000/5278] eta: 0:13:32 lr: 3.9810964465887166e-05 loss: 0.1273 (0.1374) loss_seg: 0.1266 (0.1362) loss_lansim: 0.0691 (0.1033) loss_contra: 0.0038 (0.0197) time: 2.9356 data: 0.0059 max mem: 31630 Epoch: [8] [5010/5278] eta: 0:13:03 lr: 3.9808778311499955e-05 loss: 0.1267 (0.1374) loss_seg: 0.1257 (0.1361) loss_lansim: 0.0690 (0.1033) loss_contra: 0.0038 (0.0197) time: 2.9353 data: 0.0059 max mem: 31630 Epoch: [8] [5020/5278] eta: 0:12:34 lr: 3.9806592143773154e-05 loss: 0.1260 (0.1373) loss_seg: 0.1252 (0.1361) loss_lansim: 0.0686 (0.1032) loss_contra: 0.0046 (0.0196) time: 2.9290 data: 0.0059 max mem: 31630 Epoch: [8] [5030/5278] eta: 0:12:04 lr: 3.9804405962705835e-05 loss: 0.1253 (0.1373) loss_seg: 0.1247 (0.1361) loss_lansim: 0.0686 (0.1031) loss_contra: 0.0038 (0.0197) time: 2.9296 data: 0.0060 max mem: 31630 Epoch: [8] [5040/5278] eta: 0:11:35 lr: 3.980221976829713e-05 loss: 0.1244 (0.1373) loss_seg: 0.1237 (0.1361) loss_lansim: 0.0686 (0.1031) loss_contra: 0.0037 (0.0196) time: 2.9328 data: 0.0059 max mem: 31630 Epoch: [8] [5050/5278] eta: 0:11:06 lr: 3.980003356054613e-05 loss: 0.1240 (0.1373) loss_seg: 0.1230 (0.1361) loss_lansim: 0.0683 (0.1030) loss_contra: 0.0031 (0.0196) time: 2.9341 data: 0.0060 max mem: 31630 Epoch: [8] [5060/5278] eta: 0:10:37 lr: 3.979784733945195e-05 loss: 0.1240 (0.1373) loss_seg: 0.1230 (0.1361) loss_lansim: 0.0691 (0.1030) loss_contra: 0.0037 (0.0196) time: 2.9370 data: 0.0060 max mem: 31630 Epoch: [8] [5070/5278] eta: 0:10:08 lr: 3.9795661105013684e-05 loss: 0.1252 (0.1373) loss_seg: 0.1246 (0.1361) loss_lansim: 0.0692 (0.1029) loss_contra: 0.0040 (0.0196) time: 2.9412 data: 0.0060 max mem: 31630 Epoch: [8] [5080/5278] eta: 0:09:38 lr: 3.979347485723044e-05 loss: 0.1253 (0.1373) loss_seg: 0.1246 (0.1361) loss_lansim: 0.0691 (0.1028) loss_contra: 0.0036 (0.0196) time: 2.9374 data: 0.0061 max mem: 31630 Epoch: [8] [5090/5278] eta: 0:09:09 lr: 3.9791288596101314e-05 loss: 0.1253 (0.1373) loss_seg: 0.1246 (0.1361) loss_lansim: 0.0692 (0.1028) loss_contra: 0.0034 (0.0196) time: 2.9385 data: 0.0061 max mem: 31630 Epoch: [8] [5100/5278] eta: 0:08:40 lr: 3.978910232162543e-05 loss: 0.1243 (0.1373) loss_seg: 0.1236 (0.1361) loss_lansim: 0.0693 (0.1027) loss_contra: 0.0031 (0.0196) time: 2.9368 data: 0.0061 max mem: 31630 Epoch: [8] [5110/5278] eta: 0:08:11 lr: 3.978691603380187e-05 loss: 0.1253 (0.1373) loss_seg: 0.1246 (0.1361) loss_lansim: 0.0702 (0.1026) loss_contra: 0.0028 (0.0195) time: 2.9297 data: 0.0060 max mem: 31630 Epoch: [8] [5120/5278] eta: 0:07:41 lr: 3.978472973262975e-05 loss: 0.1253 (0.1373) loss_seg: 0.1246 (0.1361) loss_lansim: 0.0708 (0.1026) loss_contra: 0.0023 (0.0195) time: 2.9302 data: 0.0060 max mem: 31630 Epoch: [8] [5130/5278] eta: 0:07:12 lr: 3.9782543418108167e-05 loss: 0.1271 (0.1374) loss_seg: 0.1264 (0.1361) loss_lansim: 0.0716 (0.1025) loss_contra: 0.0023 (0.0195) time: 2.9373 data: 0.0060 max mem: 31630 Epoch: [8] [5140/5278] eta: 0:06:43 lr: 3.978035709023623e-05 loss: 0.1291 (0.1374) loss_seg: 0.1285 (0.1362) loss_lansim: 0.0716 (0.1025) loss_contra: 0.0021 (0.0195) time: 2.9352 data: 0.0061 max mem: 31630 Epoch: [8] [5150/5278] eta: 0:06:14 lr: 3.977817074901304e-05 loss: 0.1316 (0.1374) loss_seg: 0.1296 (0.1362) loss_lansim: 0.0722 (0.1024) loss_contra: 0.0017 (0.0195) time: 2.9262 data: 0.0061 max mem: 31630 Epoch: [8] [5160/5278] eta: 0:05:44 lr: 3.977598439443769e-05 loss: 0.1368 (0.1375) loss_seg: 0.1360 (0.1363) loss_lansim: 0.0722 (0.1024) loss_contra: 0.0013 (0.0194) time: 2.9242 data: 0.0060 max mem: 31630 Epoch: [8] [5170/5278] eta: 0:05:15 lr: 3.97737980265093e-05 loss: 0.1382 (0.1376) loss_seg: 0.1374 (0.1363) loss_lansim: 0.0728 (0.1023) loss_contra: 0.0012 (0.0194) time: 2.9222 data: 0.0060 max mem: 31630 Epoch: [8] [5180/5278] eta: 0:04:46 lr: 3.977161164522697e-05 loss: 0.1366 (0.1375) loss_seg: 0.1358 (0.1363) loss_lansim: 0.0735 (0.1023) loss_contra: 0.0011 (0.0194) time: 2.9257 data: 0.0060 max mem: 31630 Epoch: [8] [5190/5278] eta: 0:04:17 lr: 3.9769425250589785e-05 loss: 0.1368 (0.1375) loss_seg: 0.1360 (0.1363) loss_lansim: 0.0735 (0.1022) loss_contra: 0.0012 (0.0195) time: 2.9226 data: 0.0060 max mem: 31630 Epoch: [8] [5200/5278] eta: 0:03:48 lr: 3.976723884259687e-05 loss: 0.1368 (0.1375) loss_seg: 0.1360 (0.1363) loss_lansim: 0.0739 (0.1022) loss_contra: 0.0012 (0.0194) time: 2.9171 data: 0.0060 max mem: 31630 Epoch: [8] [5210/5278] eta: 0:03:18 lr: 3.976505242124732e-05 loss: 0.1378 (0.1375) loss_seg: 0.1370 (0.1363) loss_lansim: 0.0732 (0.1021) loss_contra: 0.0013 (0.0194) time: 2.9188 data: 0.0060 max mem: 31630 Epoch: [8] [5220/5278] eta: 0:02:49 lr: 3.9762865986540225e-05 loss: 0.1388 (0.1375) loss_seg: 0.1376 (0.1363) loss_lansim: 0.0735 (0.1021) loss_contra: 0.0013 (0.0194) time: 2.9181 data: 0.0060 max mem: 31630 Epoch: [8] [5230/5278] eta: 0:02:20 lr: 3.976067953847471e-05 loss: 0.1388 (0.1376) loss_seg: 0.1381 (0.1363) loss_lansim: 0.0734 (0.1020) loss_contra: 0.0015 (0.0194) time: 2.9062 data: 0.0060 max mem: 31630 Epoch: [8] [5240/5278] eta: 0:01:51 lr: 3.975849307704986e-05 loss: 0.1377 (0.1376) loss_seg: 0.1370 (0.1363) loss_lansim: 0.0737 (0.1020) loss_contra: 0.0017 (0.0194) time: 2.9035 data: 0.0060 max mem: 31630 Epoch: [8] [5250/5278] eta: 0:01:21 lr: 3.975630660226478e-05 loss: 0.1378 (0.1376) loss_seg: 0.1370 (0.1363) loss_lansim: 0.0738 (0.1019) loss_contra: 0.0019 (0.0194) time: 2.9040 data: 0.0060 max mem: 31630 Epoch: [8] [5260/5278] eta: 0:00:52 lr: 3.975412011411858e-05 loss: 0.1365 (0.1376) loss_seg: 0.1357 (0.1364) loss_lansim: 0.0734 (0.1019) loss_contra: 0.0020 (0.0194) time: 2.8978 data: 0.0061 max mem: 31630 Epoch: [8] [5270/5278] eta: 0:00:23 lr: 3.975193361261035e-05 loss: 0.1298 (0.1375) loss_seg: 0.1291 (0.1363) loss_lansim: 0.0737 (0.1018) loss_contra: 0.0022 (0.0194) time: 2.8968 data: 0.0061 max mem: 31630 Epoch: [8] Total time: 4:17:07 Test: [ 0/2573] eta: 1:07:52 time: 1.5828 data: 1.4268 max mem: 31630 Test: [ 100/2573] eta: 0:06:21 time: 0.1398 data: 0.0015 max mem: 31630 Test: [ 200/2573] eta: 0:05:54 time: 0.1449 data: 0.0016 max mem: 31630 Test: [ 300/2573] eta: 0:05:32 time: 0.1395 data: 0.0016 max mem: 31630 Test: [ 400/2573] eta: 0:05:15 time: 0.1422 data: 0.0016 max mem: 31630 Test: [ 500/2573] eta: 0:04:59 time: 0.1426 data: 0.0015 max mem: 31630 Test: [ 600/2573] eta: 0:04:45 time: 0.1445 data: 0.0016 max mem: 31630 Test: [ 700/2573] eta: 0:04:31 time: 0.1483 data: 0.0016 max mem: 31630 Test: [ 800/2573] eta: 0:04:17 time: 0.1458 data: 0.0016 max mem: 31630 Test: [ 900/2573] eta: 0:04:03 time: 0.1470 data: 0.0016 max mem: 31630 Test: [1000/2573] eta: 0:03:48 time: 0.1452 data: 0.0016 max mem: 31630 Test: [1100/2573] eta: 0:03:33 time: 0.1437 data: 0.0016 max mem: 31630 Test: [1200/2573] eta: 0:03:19 time: 0.1466 data: 0.0016 max mem: 31630 Test: [1300/2573] eta: 0:03:04 time: 0.1448 data: 0.0016 max mem: 31630 Test: [1400/2573] eta: 0:02:50 time: 0.1410 data: 0.0016 max mem: 31630 Test: [1500/2573] eta: 0:02:35 time: 0.1459 data: 0.0016 max mem: 31630 Test: [1600/2573] eta: 0:02:21 time: 0.1455 data: 0.0016 max mem: 31630 Test: [1700/2573] eta: 0:02:06 time: 0.1464 data: 0.0016 max mem: 31630 Test: [1800/2573] eta: 0:01:52 time: 0.1427 data: 0.0016 max mem: 31630 Test: [1900/2573] eta: 0:01:37 time: 0.1407 data: 0.0016 max mem: 31630 Test: [2000/2573] eta: 0:01:22 time: 0.1416 data: 0.0016 max mem: 31630 Test: [2100/2573] eta: 0:01:08 time: 0.1457 data: 0.0016 max mem: 31630 Test: [2200/2573] eta: 0:00:53 time: 0.1404 data: 0.0016 max mem: 31630 Test: [2300/2573] eta: 0:00:39 time: 0.1459 data: 0.0016 max mem: 31630 Test: [2400/2573] eta: 0:00:24 time: 0.1431 data: 0.0016 max mem: 31630 Test: [2500/2573] eta: 0:00:10 time: 0.1464 data: 0.0016 max mem: 31630 Test: Total time: 0:06:12 Final results: precision@0.5 = 53.84 precision@0.6 = 47.24 precision@0.7 = 39.34 precision@0.8 = 28.70 precision@0.9 = 11.74 overall IoU = 49.48 mean IoU = 48.41 Epoch: [9] [ 0/5278] eta: 7:11:05 lr: 3.97501844017825e-05 loss: 0.1750 (0.1750) loss_seg: 0.1743 (0.1743) loss_lansim: 0.0776 (0.0776) loss_contra: 0.0003 (0.0003) time: 4.9007 data: 1.5004 max mem: 31630 Epoch: [9] [ 10/5278] eta: 4:31:23 lr: 3.974799787622037e-05 loss: 0.1277 (0.1352) loss_seg: 0.1269 (0.1343) loss_lansim: 0.0749 (0.0737) loss_contra: 0.0024 (0.0114) time: 3.0910 data: 0.1420 max mem: 31630 Epoch: [9] [ 20/5278] eta: 4:24:31 lr: 3.9745811337293695e-05 loss: 0.1308 (0.1384) loss_seg: 0.1294 (0.1375) loss_lansim: 0.0757 (0.0770) loss_contra: 0.0012 (0.0087) time: 3.0185 data: 0.0771 max mem: 31630 Epoch: [9] [ 30/5278] eta: 4:23:31 lr: 3.9743624785001576e-05 loss: 0.1325 (0.1465) loss_seg: 0.1318 (0.1456) loss_lansim: 0.0770 (0.0774) loss_contra: 0.0012 (0.0071) time: 3.0128 data: 0.0542 max mem: 31630 Epoch: [9] [ 40/5278] eta: 4:22:05 lr: 3.974143821934313e-05 loss: 0.1277 (0.1401) loss_seg: 0.1269 (0.1393) loss_lansim: 0.0749 (0.0757) loss_contra: 0.0012 (0.0107) time: 3.0022 data: 0.0424 max mem: 31630 Epoch: [9] [ 50/5278] eta: 4:20:43 lr: 3.973925164031744e-05 loss: 0.1277 (0.1412) loss_seg: 0.1269 (0.1404) loss_lansim: 0.0742 (0.0751) loss_contra: 0.0024 (0.0109) time: 2.9923 data: 0.0354 max mem: 31630 Epoch: [9] [ 60/5278] eta: 4:19:04 lr: 3.973706504792362e-05 loss: 0.1308 (0.1436) loss_seg: 0.1294 (0.1427) loss_lansim: 0.0742 (0.0747) loss_contra: 0.0024 (0.0134) time: 2.9791 data: 0.0306 max mem: 31630 Epoch: [9] [ 70/5278] eta: 4:18:17 lr: 3.9734878442160764e-05 loss: 0.1270 (0.1412) loss_seg: 0.1263 (0.1403) loss_lansim: 0.0738 (0.0745) loss_contra: 0.0024 (0.0119) time: 2.9757 data: 0.0271 max mem: 31630 Epoch: [9] [ 80/5278] eta: 4:17:06 lr: 3.9732691823027975e-05 loss: 0.1215 (0.1409) loss_seg: 0.1208 (0.1400) loss_lansim: 0.0733 (0.0738) loss_contra: 0.0024 (0.0116) time: 2.9678 data: 0.0245 max mem: 31630 Epoch: [9] [ 90/5278] eta: 4:16:14 lr: 3.9730505190524356e-05 loss: 0.1215 (0.1392) loss_seg: 0.1208 (0.1383) loss_lansim: 0.0735 (0.0738) loss_contra: 0.0023 (0.0115) time: 2.9635 data: 0.0225 max mem: 31630 Epoch: [9] [ 100/5278] eta: 4:15:26 lr: 3.9728318544649e-05 loss: 0.1236 (0.1382) loss_seg: 0.1226 (0.1374) loss_lansim: 0.0729 (0.0738) loss_contra: 0.0024 (0.0141) time: 2.9406 data: 0.0060 max mem: 31630 Epoch: [9] [ 110/5278] eta: 4:14:28 lr: 3.9726131885401016e-05 loss: 0.1210 (0.1359) loss_seg: 0.1198 (0.1350) loss_lansim: 0.0729 (0.0738) loss_contra: 0.0025 (0.0160) time: 2.9394 data: 0.0060 max mem: 31630 Epoch: [9] [ 120/5278] eta: 4:14:04 lr: 3.9723945212779505e-05 loss: 0.1210 (0.1356) loss_seg: 0.1198 (0.1347) loss_lansim: 0.0726 (0.0739) loss_contra: 0.0026 (0.0149) time: 2.9423 data: 0.0060 max mem: 31630 Epoch: [9] [ 130/5278] eta: 4:13:40 lr: 3.972175852678356e-05 loss: 0.1195 (0.1374) loss_seg: 0.1188 (0.1365) loss_lansim: 0.0720 (0.0739) loss_contra: 0.0027 (0.0152) time: 2.9392 data: 0.0060 max mem: 31630 Epoch: [9] [ 140/5278] eta: 4:12:55 lr: 3.9719571827412275e-05 loss: 0.1210 (0.1398) loss_seg: 0.1198 (0.1389) loss_lansim: 0.0726 (0.0739) loss_contra: 0.0026 (0.0150) time: 2.9336 data: 0.0060 max mem: 31630 Epoch: [9] [ 150/5278] eta: 4:12:08 lr: 3.9717385114664774e-05 loss: 0.1166 (0.1388) loss_seg: 0.1158 (0.1379) loss_lansim: 0.0729 (0.0740) loss_contra: 0.0027 (0.0166) time: 2.9288 data: 0.0059 max mem: 31630 Epoch: [9] [ 160/5278] eta: 4:11:46 lr: 3.971519838854013e-05 loss: 0.1164 (0.1391) loss_seg: 0.1149 (0.1382) loss_lansim: 0.0732 (0.0740) loss_contra: 0.0025 (0.0160) time: 2.9348 data: 0.0059 max mem: 31630 Epoch: [9] [ 170/5278] eta: 4:11:18 lr: 3.9713011649037465e-05 loss: 0.1152 (0.1393) loss_seg: 0.1143 (0.1384) loss_lansim: 0.0737 (0.0740) loss_contra: 0.0029 (0.0155) time: 2.9349 data: 0.0059 max mem: 31630 Epoch: [9] [ 180/5278] eta: 4:10:23 lr: 3.971082489615586e-05 loss: 0.1138 (0.1388) loss_seg: 0.1130 (0.1380) loss_lansim: 0.0740 (0.0739) loss_contra: 0.0030 (0.0154) time: 2.9301 data: 0.0059 max mem: 31630 Epoch: [9] [ 190/5278] eta: 4:09:57 lr: 3.970863812989443e-05 loss: 0.1152 (0.1380) loss_seg: 0.1143 (0.1371) loss_lansim: 0.0737 (0.0740) loss_contra: 0.0030 (0.0168) time: 2.9330 data: 0.0058 max mem: 31630 Epoch: [9] [ 200/5278] eta: 4:09:24 lr: 3.970645135025227e-05 loss: 0.1131 (0.1373) loss_seg: 0.1124 (0.1364) loss_lansim: 0.0737 (0.0739) loss_contra: 0.0029 (0.0166) time: 2.9338 data: 0.0059 max mem: 31630 Epoch: [9] [ 210/5278] eta: 4:08:51 lr: 3.9704264557228465e-05 loss: 0.1156 (0.1364) loss_seg: 0.1147 (0.1354) loss_lansim: 0.0737 (0.0740) loss_contra: 0.0026 (0.0165) time: 2.9373 data: 0.0059 max mem: 31630 Epoch: [9] [ 220/5278] eta: 4:08:07 lr: 3.970207775082214e-05 loss: 0.1113 (0.1352) loss_seg: 0.1099 (0.1343) loss_lansim: 0.0731 (0.0738) loss_contra: 0.0026 (0.0163) time: 2.9287 data: 0.0059 max mem: 31630 Epoch: [9] [ 230/5278] eta: 4:07:38 lr: 3.9699890931032366e-05 loss: 0.1152 (0.1344) loss_seg: 0.1143 (0.1335) loss_lansim: 0.0731 (0.0737) loss_contra: 0.0026 (0.0164) time: 2.9263 data: 0.0059 max mem: 31630 Epoch: [9] [ 240/5278] eta: 4:07:04 lr: 3.969770409785827e-05 loss: 0.1086 (0.1333) loss_seg: 0.1076 (0.1324) loss_lansim: 0.0729 (0.0737) loss_contra: 0.0025 (0.0157) time: 2.9273 data: 0.0059 max mem: 31630 Epoch: [9] [ 250/5278] eta: 4:06:24 lr: 3.9695517251298934e-05 loss: 0.1113 (0.1329) loss_seg: 0.1099 (0.1319) loss_lansim: 0.0729 (0.0737) loss_contra: 0.0025 (0.0171) time: 2.9256 data: 0.0059 max mem: 31630 Epoch: [9] [ 260/5278] eta: 4:05:51 lr: 3.969333039135345e-05 loss: 0.1077 (0.1320) loss_seg: 0.1064 (0.1311) loss_lansim: 0.0728 (0.0737) loss_contra: 0.0022 (0.0168) time: 2.9204 data: 0.0059 max mem: 31630 Epoch: [9] [ 270/5278] eta: 4:05:21 lr: 3.969114351802094e-05 loss: 0.1086 (0.1322) loss_seg: 0.1078 (0.1313) loss_lansim: 0.0731 (0.0739) loss_contra: 0.0022 (0.0172) time: 2.9186 data: 0.0059 max mem: 31630 Epoch: [9] [ 280/5278] eta: 4:04:47 lr: 3.968895663130047e-05 loss: 0.1127 (0.1326) loss_seg: 0.1119 (0.1317) loss_lansim: 0.0732 (0.0739) loss_contra: 0.0022 (0.0170) time: 2.9234 data: 0.0059 max mem: 31630 Epoch: [9] [ 290/5278] eta: 4:04:14 lr: 3.968676973119117e-05 loss: 0.1093 (0.1321) loss_seg: 0.1085 (0.1312) loss_lansim: 0.0727 (0.0739) loss_contra: 0.0018 (0.0166) time: 2.9198 data: 0.0059 max mem: 31630 Epoch: [9] [ 300/5278] eta: 4:03:48 lr: 3.9684582817692126e-05 loss: 0.1127 (0.1323) loss_seg: 0.1111 (0.1314) loss_lansim: 0.0735 (0.0739) loss_contra: 0.0018 (0.0167) time: 2.9217 data: 0.0059 max mem: 31630 Epoch: [9] [ 310/5278] eta: 4:03:12 lr: 3.968239589080244e-05 loss: 0.1143 (0.1332) loss_seg: 0.1136 (0.1323) loss_lansim: 0.0739 (0.0741) loss_contra: 0.0018 (0.0170) time: 2.9184 data: 0.0059 max mem: 31630 Epoch: [9] [ 320/5278] eta: 4:02:39 lr: 3.968020895052119e-05 loss: 0.1217 (0.1335) loss_seg: 0.1208 (0.1326) loss_lansim: 0.0742 (0.0741) loss_contra: 0.0018 (0.0173) time: 2.9212 data: 0.0059 max mem: 31630 Epoch: [9] [ 330/5278] eta: 4:02:08 lr: 3.967802199684751e-05 loss: 0.1181 (0.1332) loss_seg: 0.1170 (0.1322) loss_lansim: 0.0745 (0.0742) loss_contra: 0.0022 (0.0170) time: 2.9194 data: 0.0059 max mem: 31630 Epoch: [9] [ 340/5278] eta: 4:01:37 lr: 3.967583502978046e-05 loss: 0.1227 (0.1324) loss_seg: 0.1217 (0.1315) loss_lansim: 0.0747 (0.0742) loss_contra: 0.0024 (0.0168) time: 2.9200 data: 0.0059 max mem: 31630 Epoch: [9] [ 350/5278] eta: 4:01:14 lr: 3.967364804931916e-05 loss: 0.1227 (0.1316) loss_seg: 0.1217 (0.1307) loss_lansim: 0.0747 (0.0742) loss_contra: 0.0022 (0.0165) time: 2.9292 data: 0.0058 max mem: 31630 Epoch: [9] [ 360/5278] eta: 4:00:43 lr: 3.96714610554627e-05 loss: 0.1229 (0.1317) loss_seg: 0.1221 (0.1308) loss_lansim: 0.0747 (0.0741) loss_contra: 0.0024 (0.0164) time: 2.9298 data: 0.0058 max mem: 31630 Epoch: [9] [ 370/5278] eta: 4:00:13 lr: 3.966927404821019e-05 loss: 0.1212 (0.1314) loss_seg: 0.1203 (0.1305) loss_lansim: 0.0739 (0.0741) loss_contra: 0.0029 (0.0164) time: 2.9290 data: 0.0059 max mem: 31630 Epoch: [9] [ 380/5278] eta: 3:59:42 lr: 3.9667087027560713e-05 loss: 0.1205 (0.1321) loss_seg: 0.1196 (0.1312) loss_lansim: 0.0738 (0.0741) loss_contra: 0.0027 (0.0160) time: 2.9303 data: 0.0058 max mem: 31630 Epoch: [9] [ 390/5278] eta: 3:59:09 lr: 3.966489999351337e-05 loss: 0.1212 (0.1320) loss_seg: 0.1203 (0.1311) loss_lansim: 0.0741 (0.0742) loss_contra: 0.0029 (0.0159) time: 2.9288 data: 0.0058 max mem: 31630 Epoch: [9] [ 400/5278] eta: 3:58:40 lr: 3.9662712946067255e-05 loss: 0.1154 (0.1318) loss_seg: 0.1147 (0.1309) loss_lansim: 0.0739 (0.0742) loss_contra: 0.0020 (0.0155) time: 2.9268 data: 0.0058 max mem: 31630 Epoch: [9] [ 410/5278] eta: 3:58:06 lr: 3.966052588522147e-05 loss: 0.1118 (0.1313) loss_seg: 0.1110 (0.1304) loss_lansim: 0.0738 (0.0743) loss_contra: 0.0020 (0.0153) time: 2.9267 data: 0.0059 max mem: 31630 Epoch: [9] [ 420/5278] eta: 3:57:32 lr: 3.965833881097511e-05 loss: 0.1064 (0.1310) loss_seg: 0.1053 (0.1302) loss_lansim: 0.0741 (0.0745) loss_contra: 0.0023 (0.0150) time: 2.9254 data: 0.0059 max mem: 31630 Epoch: [9] [ 430/5278] eta: 3:57:09 lr: 3.9656151723327276e-05 loss: 0.1064 (0.1305) loss_seg: 0.1053 (0.1296) loss_lansim: 0.0741 (0.0745) loss_contra: 0.0019 (0.0150) time: 2.9315 data: 0.0058 max mem: 31630 Epoch: [9] [ 440/5278] eta: 3:56:41 lr: 3.965396462227706e-05 loss: 0.1078 (0.1302) loss_seg: 0.1069 (0.1293) loss_lansim: 0.0741 (0.0746) loss_contra: 0.0016 (0.0148) time: 2.9330 data: 0.0059 max mem: 31630 Epoch: [9] [ 450/5278] eta: 3:56:08 lr: 3.9651777507823556e-05 loss: 0.1091 (0.1302) loss_seg: 0.1084 (0.1293) loss_lansim: 0.0748 (0.0746) loss_contra: 0.0015 (0.0145) time: 2.9258 data: 0.0060 max mem: 31630 Epoch: [9] [ 460/5278] eta: 3:55:34 lr: 3.9649590379965875e-05 loss: 0.1116 (0.1306) loss_seg: 0.1108 (0.1297) loss_lansim: 0.0758 (0.0748) loss_contra: 0.0015 (0.0146) time: 2.9217 data: 0.0060 max mem: 31630 Epoch: [9] [ 470/5278] eta: 3:55:05 lr: 3.964740323870309e-05 loss: 0.1154 (0.1306) loss_seg: 0.1140 (0.1297) loss_lansim: 0.0761 (0.0748) loss_contra: 0.0012 (0.0146) time: 2.9230 data: 0.0059 max mem: 31630 Epoch: [9] [ 480/5278] eta: 3:54:37 lr: 3.9645216084034317e-05 loss: 0.1096 (0.1306) loss_seg: 0.1087 (0.1297) loss_lansim: 0.0772 (0.0749) loss_contra: 0.0013 (0.0144) time: 2.9253 data: 0.0059 max mem: 31630 Epoch: [9] [ 490/5278] eta: 3:54:03 lr: 3.964302891595864e-05 loss: 0.1079 (0.1299) loss_seg: 0.1072 (0.1290) loss_lansim: 0.0768 (0.0750) loss_contra: 0.0012 (0.0144) time: 2.9231 data: 0.0060 max mem: 31630 Epoch: [9] [ 500/5278] eta: 3:53:33 lr: 3.964084173447515e-05 loss: 0.1091 (0.1295) loss_seg: 0.1084 (0.1286) loss_lansim: 0.0778 (0.0750) loss_contra: 0.0014 (0.0142) time: 2.9221 data: 0.0060 max mem: 31630 Epoch: [9] [ 510/5278] eta: 3:53:06 lr: 3.963865453958297e-05 loss: 0.1091 (0.1292) loss_seg: 0.1084 (0.1283) loss_lansim: 0.0768 (0.0750) loss_contra: 0.0015 (0.0140) time: 2.9283 data: 0.0060 max mem: 31630 Epoch: [9] [ 520/5278] eta: 3:52:35 lr: 3.963646733128117e-05 loss: 0.1117 (0.1291) loss_seg: 0.1108 (0.1282) loss_lansim: 0.0761 (0.0750) loss_contra: 0.0014 (0.0138) time: 2.9299 data: 0.0060 max mem: 31630 Epoch: [9] [ 530/5278] eta: 3:52:02 lr: 3.9634280109568855e-05 loss: 0.1113 (0.1286) loss_seg: 0.1105 (0.1277) loss_lansim: 0.0753 (0.0750) loss_contra: 0.0015 (0.0138) time: 2.9206 data: 0.0060 max mem: 31630 Epoch: [9] [ 540/5278] eta: 3:51:35 lr: 3.963209287444512e-05 loss: 0.1117 (0.1285) loss_seg: 0.1108 (0.1276) loss_lansim: 0.0745 (0.0749) loss_contra: 0.0014 (0.0137) time: 2.9221 data: 0.0059 max mem: 31630 Epoch: [9] [ 550/5278] eta: 3:51:09 lr: 3.962990562590906e-05 loss: 0.1113 (0.1283) loss_seg: 0.1105 (0.1274) loss_lansim: 0.0746 (0.0750) loss_contra: 0.0015 (0.0140) time: 2.9277 data: 0.0058 max mem: 31630 Epoch: [9] [ 560/5278] eta: 3:50:39 lr: 3.962771836395976e-05 loss: 0.1096 (0.1284) loss_seg: 0.1087 (0.1276) loss_lansim: 0.0745 (0.0750) loss_contra: 0.0016 (0.0139) time: 2.9317 data: 0.0058 max mem: 31630 Epoch: [9] [ 570/5278] eta: 3:50:07 lr: 3.9625531088596326e-05 loss: 0.1096 (0.1288) loss_seg: 0.1087 (0.1279) loss_lansim: 0.0746 (0.0752) loss_contra: 0.0016 (0.0137) time: 2.9281 data: 0.0059 max mem: 31630 Epoch: [9] [ 580/5278] eta: 3:49:35 lr: 3.962334379981786e-05 loss: 0.1117 (0.1288) loss_seg: 0.1108 (0.1279) loss_lansim: 0.0753 (0.0754) loss_contra: 0.0016 (0.0138) time: 2.9236 data: 0.0058 max mem: 31630 Epoch: [9] [ 590/5278] eta: 3:49:08 lr: 3.962115649762345e-05 loss: 0.1222 (0.1289) loss_seg: 0.1214 (0.1280) loss_lansim: 0.0753 (0.0755) loss_contra: 0.0022 (0.0140) time: 2.9306 data: 0.0057 max mem: 31630 Epoch: [9] [ 600/5278] eta: 3:48:37 lr: 3.9618969182012184e-05 loss: 0.1241 (0.1288) loss_seg: 0.1234 (0.1279) loss_lansim: 0.0760 (0.0756) loss_contra: 0.0023 (0.0139) time: 2.9289 data: 0.0057 max mem: 31630 Epoch: [9] [ 610/5278] eta: 3:48:08 lr: 3.961678185298316e-05 loss: 0.1206 (0.1284) loss_seg: 0.1198 (0.1275) loss_lansim: 0.0774 (0.0758) loss_contra: 0.0023 (0.0140) time: 2.9264 data: 0.0057 max mem: 31630 Epoch: [9] [ 620/5278] eta: 3:47:39 lr: 3.9614594510535484e-05 loss: 0.1218 (0.1286) loss_seg: 0.1198 (0.1277) loss_lansim: 0.0779 (0.0759) loss_contra: 0.0024 (0.0143) time: 2.9296 data: 0.0057 max mem: 31630 Epoch: [9] [ 630/5278] eta: 3:47:12 lr: 3.9612407154668236e-05 loss: 0.1139 (0.1282) loss_seg: 0.1121 (0.1273) loss_lansim: 0.0785 (0.0760) loss_contra: 0.0024 (0.0141) time: 2.9359 data: 0.0057 max mem: 31630 Epoch: [9] [ 640/5278] eta: 3:46:42 lr: 3.961021978538051e-05 loss: 0.1118 (0.1281) loss_seg: 0.1108 (0.1272) loss_lansim: 0.0798 (0.0763) loss_contra: 0.0028 (0.0139) time: 2.9327 data: 0.0058 max mem: 31630 Epoch: [9] [ 650/5278] eta: 3:46:16 lr: 3.9608032402671405e-05 loss: 0.1130 (0.1281) loss_seg: 0.1115 (0.1272) loss_lansim: 0.0809 (0.0764) loss_contra: 0.0028 (0.0139) time: 2.9340 data: 0.0058 max mem: 31630 Epoch: [9] [ 660/5278] eta: 3:45:50 lr: 3.9605845006540025e-05 loss: 0.1130 (0.1280) loss_seg: 0.1115 (0.1271) loss_lansim: 0.0846 (0.0767) loss_contra: 0.0027 (0.0139) time: 2.9393 data: 0.0057 max mem: 31630 Epoch: [9] [ 670/5278] eta: 3:45:16 lr: 3.960365759698546e-05 loss: 0.1130 (0.1278) loss_seg: 0.1115 (0.1269) loss_lansim: 0.0859 (0.0771) loss_contra: 0.0023 (0.0137) time: 2.9355 data: 0.0057 max mem: 31630 Epoch: [9] [ 680/5278] eta: 3:44:47 lr: 3.960147017400678e-05 loss: 0.1118 (0.1279) loss_seg: 0.1108 (0.1270) loss_lansim: 0.0873 (0.0774) loss_contra: 0.0023 (0.0136) time: 2.9388 data: 0.0057 max mem: 31630 Epoch: [9] [ 690/5278] eta: 3:44:19 lr: 3.9599282737603104e-05 loss: 0.1089 (0.1276) loss_seg: 0.1075 (0.1267) loss_lansim: 0.0882 (0.0775) loss_contra: 0.0022 (0.0136) time: 2.9398 data: 0.0057 max mem: 31630 Epoch: [9] [ 700/5278] eta: 3:43:49 lr: 3.9597095287773515e-05 loss: 0.1083 (0.1273) loss_seg: 0.1075 (0.1264) loss_lansim: 0.0889 (0.0778) loss_contra: 0.0023 (0.0136) time: 2.9415 data: 0.0057 max mem: 31630 Epoch: [9] [ 710/5278] eta: 3:43:19 lr: 3.959490782451712e-05 loss: 0.1089 (0.1271) loss_seg: 0.1075 (0.1262) loss_lansim: 0.0905 (0.0783) loss_contra: 0.0023 (0.0136) time: 2.9391 data: 0.0057 max mem: 31630 Epoch: [9] [ 720/5278] eta: 3:42:49 lr: 3.9592720347833e-05 loss: 0.1089 (0.1273) loss_seg: 0.1075 (0.1263) loss_lansim: 0.0946 (0.0794) loss_contra: 0.0023 (0.0156) time: 2.9369 data: 0.0056 max mem: 31630 Epoch: [9] [ 730/5278] eta: 3:42:20 lr: 3.959053285772025e-05 loss: 0.1121 (0.1276) loss_seg: 0.1110 (0.1266) loss_lansim: 0.0996 (0.0805) loss_contra: 0.0027 (0.0155) time: 2.9353 data: 0.0056 max mem: 31630 Epoch: [9] [ 740/5278] eta: 3:41:50 lr: 3.9588345354177955e-05 loss: 0.1150 (0.1274) loss_seg: 0.1139 (0.1264) loss_lansim: 0.1051 (0.0813) loss_contra: 0.0032 (0.0162) time: 2.9345 data: 0.0056 max mem: 31630 Epoch: [9] [ 750/5278] eta: 3:41:21 lr: 3.958615783720524e-05 loss: 0.1121 (0.1272) loss_seg: 0.1106 (0.1262) loss_lansim: 0.1094 (0.0819) loss_contra: 0.0040 (0.0161) time: 2.9318 data: 0.0056 max mem: 31630 Epoch: [9] [ 760/5278] eta: 3:40:51 lr: 3.958397030680115e-05 loss: 0.1122 (0.1271) loss_seg: 0.1110 (0.1262) loss_lansim: 0.1161 (0.0825) loss_contra: 0.0040 (0.0162) time: 2.9250 data: 0.0057 max mem: 31630 Epoch: [9] [ 770/5278] eta: 3:40:20 lr: 3.958178276296482e-05 loss: 0.1121 (0.1271) loss_seg: 0.1102 (0.1261) loss_lansim: 0.1189 (0.0830) loss_contra: 0.0042 (0.0160) time: 2.9298 data: 0.0056 max mem: 31630 Epoch: [9] [ 780/5278] eta: 3:39:51 lr: 3.9579595205695306e-05 loss: 0.1122 (0.1270) loss_seg: 0.1102 (0.1260) loss_lansim: 0.1241 (0.0835) loss_contra: 0.0044 (0.0163) time: 2.9284 data: 0.0057 max mem: 31630 Epoch: [9] [ 790/5278] eta: 3:39:22 lr: 3.957740763499174e-05 loss: 0.1133 (0.1273) loss_seg: 0.1119 (0.1263) loss_lansim: 0.1242 (0.0837) loss_contra: 0.0050 (0.0163) time: 2.9270 data: 0.0058 max mem: 31630 Epoch: [9] [ 800/5278] eta: 3:38:50 lr: 3.957522005085318e-05 loss: 0.1249 (0.1275) loss_seg: 0.1235 (0.1265) loss_lansim: 0.1242 (0.0839) loss_contra: 0.0051 (0.0162) time: 2.9219 data: 0.0058 max mem: 31630 Epoch: [9] [ 810/5278] eta: 3:38:22 lr: 3.957303245327874e-05 loss: 0.1244 (0.1273) loss_seg: 0.1233 (0.1263) loss_lansim: 0.1224 (0.0839) loss_contra: 0.0051 (0.0162) time: 2.9273 data: 0.0058 max mem: 31630 Epoch: [9] [ 820/5278] eta: 3:37:56 lr: 3.957084484226751e-05 loss: 0.1223 (0.1274) loss_seg: 0.1211 (0.1264) loss_lansim: 0.1137 (0.0840) loss_contra: 0.0043 (0.0160) time: 2.9337 data: 0.0058 max mem: 31630 Epoch: [9] [ 830/5278] eta: 3:37:28 lr: 3.956865721781857e-05 loss: 0.1175 (0.1272) loss_seg: 0.1153 (0.1262) loss_lansim: 0.1068 (0.0841) loss_contra: 0.0040 (0.0159) time: 2.9359 data: 0.0058 max mem: 31630 Epoch: [9] [ 840/5278] eta: 3:36:58 lr: 3.956646957993102e-05 loss: 0.1128 (0.1268) loss_seg: 0.1117 (0.1258) loss_lansim: 0.0999 (0.0840) loss_contra: 0.0036 (0.0158) time: 2.9363 data: 0.0058 max mem: 31630 Epoch: [9] [ 850/5278] eta: 3:36:27 lr: 3.956428192860395e-05 loss: 0.1153 (0.1270) loss_seg: 0.1141 (0.1260) loss_lansim: 0.0949 (0.0839) loss_contra: 0.0031 (0.0157) time: 2.9319 data: 0.0058 max mem: 31630 Epoch: [9] [ 860/5278] eta: 3:35:59 lr: 3.9562094263836454e-05 loss: 0.1223 (0.1272) loss_seg: 0.1211 (0.1263) loss_lansim: 0.0900 (0.0837) loss_contra: 0.0029 (0.0156) time: 2.9353 data: 0.0059 max mem: 31630 Epoch: [9] [ 870/5278] eta: 3:35:28 lr: 3.955990658562762e-05 loss: 0.1241 (0.1274) loss_seg: 0.1228 (0.1264) loss_lansim: 0.0843 (0.0835) loss_contra: 0.0025 (0.0158) time: 2.9335 data: 0.0059 max mem: 31630 Epoch: [9] [ 880/5278] eta: 3:34:58 lr: 3.955771889397655e-05 loss: 0.1241 (0.1273) loss_seg: 0.1228 (0.1263) loss_lansim: 0.0813 (0.0834) loss_contra: 0.0025 (0.0158) time: 2.9342 data: 0.0059 max mem: 31630 Epoch: [9] [ 890/5278] eta: 3:34:27 lr: 3.955553118888232e-05 loss: 0.1241 (0.1274) loss_seg: 0.1228 (0.1265) loss_lansim: 0.0783 (0.0833) loss_contra: 0.0024 (0.0158) time: 2.9296 data: 0.0057 max mem: 31630 Epoch: [9] [ 900/5278] eta: 3:33:57 lr: 3.955334347034402e-05 loss: 0.1232 (0.1275) loss_seg: 0.1223 (0.1265) loss_lansim: 0.0761 (0.0832) loss_contra: 0.0024 (0.0165) time: 2.9339 data: 0.0057 max mem: 31630 Epoch: [9] [ 910/5278] eta: 3:33:28 lr: 3.955115573836076e-05 loss: 0.1270 (0.1275) loss_seg: 0.1259 (0.1265) loss_lansim: 0.0750 (0.0831) loss_contra: 0.0025 (0.0164) time: 2.9314 data: 0.0057 max mem: 31630 Epoch: [9] [ 920/5278] eta: 3:32:59 lr: 3.954896799293162e-05 loss: 0.1270 (0.1276) loss_seg: 0.1259 (0.1266) loss_lansim: 0.0730 (0.0830) loss_contra: 0.0023 (0.0164) time: 2.9265 data: 0.0057 max mem: 31630 Epoch: [9] [ 930/5278] eta: 3:32:29 lr: 3.954678023405569e-05 loss: 0.1250 (0.1274) loss_seg: 0.1241 (0.1264) loss_lansim: 0.0717 (0.0828) loss_contra: 0.0023 (0.0164) time: 2.9221 data: 0.0057 max mem: 31630 Epoch: [9] [ 940/5278] eta: 3:31:58 lr: 3.9544592461732065e-05 loss: 0.1282 (0.1273) loss_seg: 0.1269 (0.1264) loss_lansim: 0.0716 (0.0828) loss_contra: 0.0023 (0.0162) time: 2.9186 data: 0.0057 max mem: 31630 Epoch: [9] [ 950/5278] eta: 3:31:28 lr: 3.9542404675959824e-05 loss: 0.1285 (0.1274) loss_seg: 0.1275 (0.1264) loss_lansim: 0.0717 (0.0827) loss_contra: 0.0023 (0.0163) time: 2.9199 data: 0.0057 max mem: 31630 Epoch: [9] [ 960/5278] eta: 3:30:59 lr: 3.9540216876738076e-05 loss: 0.1301 (0.1276) loss_seg: 0.1284 (0.1266) loss_lansim: 0.0737 (0.0828) loss_contra: 0.0022 (0.0163) time: 2.9189 data: 0.0056 max mem: 31630 Epoch: [9] [ 970/5278] eta: 3:30:30 lr: 3.95380290640659e-05 loss: 0.1277 (0.1273) loss_seg: 0.1264 (0.1263) loss_lansim: 0.0761 (0.0830) loss_contra: 0.0036 (0.0165) time: 2.9239 data: 0.0057 max mem: 31630 Epoch: [9] [ 980/5278] eta: 3:30:00 lr: 3.953584123794239e-05 loss: 0.1250 (0.1275) loss_seg: 0.1241 (0.1265) loss_lansim: 0.0781 (0.0832) loss_contra: 0.0036 (0.0167) time: 2.9229 data: 0.0057 max mem: 31630 Epoch: [9] [ 990/5278] eta: 3:29:30 lr: 3.953365339836663e-05 loss: 0.1237 (0.1276) loss_seg: 0.1218 (0.1266) loss_lansim: 0.0810 (0.0835) loss_contra: 0.0037 (0.0176) time: 2.9225 data: 0.0057 max mem: 31630 Epoch: [9] [1000/5278] eta: 3:29:00 lr: 3.953146554533772e-05 loss: 0.1237 (0.1278) loss_seg: 0.1226 (0.1268) loss_lansim: 0.0872 (0.0838) loss_contra: 0.0037 (0.0176) time: 2.9239 data: 0.0057 max mem: 31630 Epoch: [9] [1010/5278] eta: 3:28:32 lr: 3.9529277678854744e-05 loss: 0.1237 (0.1279) loss_seg: 0.1226 (0.1268) loss_lansim: 0.0938 (0.0841) loss_contra: 0.0053 (0.0181) time: 2.9258 data: 0.0057 max mem: 31630 Epoch: [9] [1020/5278] eta: 3:28:02 lr: 3.9527089798916786e-05 loss: 0.1268 (0.1280) loss_seg: 0.1257 (0.1270) loss_lansim: 0.0979 (0.0845) loss_contra: 0.0089 (0.0184) time: 2.9218 data: 0.0058 max mem: 31630 Epoch: [9] [1030/5278] eta: 3:27:30 lr: 3.9524901905522945e-05 loss: 0.1276 (0.1280) loss_seg: 0.1266 (0.1270) loss_lansim: 0.1033 (0.0851) loss_contra: 0.0076 (0.0183) time: 2.9186 data: 0.0058 max mem: 31630 Epoch: [9] [1040/5278] eta: 3:27:02 lr: 3.952271399867231e-05 loss: 0.1276 (0.1280) loss_seg: 0.1266 (0.1269) loss_lansim: 0.1099 (0.0856) loss_contra: 0.0092 (0.0182) time: 2.9244 data: 0.0058 max mem: 31630 Epoch: [9] [1050/5278] eta: 3:26:31 lr: 3.9520526078363965e-05 loss: 0.1276 (0.1279) loss_seg: 0.1266 (0.1269) loss_lansim: 0.1164 (0.0859) loss_contra: 0.0092 (0.0182) time: 2.9211 data: 0.0058 max mem: 31630 Epoch: [9] [1060/5278] eta: 3:26:00 lr: 3.9518338144597e-05 loss: 0.1239 (0.1280) loss_seg: 0.1225 (0.1269) loss_lansim: 0.1164 (0.0861) loss_contra: 0.0068 (0.0180) time: 2.9176 data: 0.0058 max mem: 31630 Epoch: [9] [1070/5278] eta: 3:25:32 lr: 3.951615019737052e-05 loss: 0.1268 (0.1279) loss_seg: 0.1259 (0.1268) loss_lansim: 0.1162 (0.0862) loss_contra: 0.0048 (0.0179) time: 2.9201 data: 0.0058 max mem: 31630 Epoch: [9] [1080/5278] eta: 3:25:02 lr: 3.951396223668359e-05 loss: 0.1239 (0.1277) loss_seg: 0.1225 (0.1267) loss_lansim: 0.1158 (0.0863) loss_contra: 0.0042 (0.0178) time: 2.9195 data: 0.0059 max mem: 31630 Epoch: [9] [1090/5278] eta: 3:24:32 lr: 3.951177426253531e-05 loss: 0.1229 (0.1278) loss_seg: 0.1220 (0.1268) loss_lansim: 0.1079 (0.0863) loss_contra: 0.0036 (0.0177) time: 2.9202 data: 0.0059 max mem: 31630 Epoch: [9] [1100/5278] eta: 3:24:04 lr: 3.950958627492477e-05 loss: 0.1229 (0.1278) loss_seg: 0.1220 (0.1268) loss_lansim: 0.1036 (0.0863) loss_contra: 0.0036 (0.0176) time: 2.9222 data: 0.0060 max mem: 31630 Epoch: [9] [1110/5278] eta: 3:23:34 lr: 3.950739827385106e-05 loss: 0.1221 (0.1276) loss_seg: 0.1210 (0.1266) loss_lansim: 0.1025 (0.0863) loss_contra: 0.0033 (0.0176) time: 2.9195 data: 0.0060 max mem: 31630 Epoch: [9] [1120/5278] eta: 3:23:05 lr: 3.950521025931327e-05 loss: 0.1196 (0.1276) loss_seg: 0.1187 (0.1266) loss_lansim: 0.0983 (0.0863) loss_contra: 0.0030 (0.0176) time: 2.9235 data: 0.0059 max mem: 31630 Epoch: [9] [1130/5278] eta: 3:22:36 lr: 3.950302223131048e-05 loss: 0.1198 (0.1277) loss_seg: 0.1190 (0.1267) loss_lansim: 0.0951 (0.0863) loss_contra: 0.0030 (0.0176) time: 2.9278 data: 0.0060 max mem: 31630 Epoch: [9] [1140/5278] eta: 3:22:07 lr: 3.950083418984179e-05 loss: 0.1198 (0.1277) loss_seg: 0.1190 (0.1267) loss_lansim: 0.0904 (0.0862) loss_contra: 0.0029 (0.0177) time: 2.9257 data: 0.0060 max mem: 31630 Epoch: [9] [1150/5278] eta: 3:21:37 lr: 3.949864613490627e-05 loss: 0.1209 (0.1278) loss_seg: 0.1193 (0.1268) loss_lansim: 0.0860 (0.0860) loss_contra: 0.0029 (0.0176) time: 2.9296 data: 0.0061 max mem: 31630 Epoch: [9] [1160/5278] eta: 3:21:08 lr: 3.9496458066503025e-05 loss: 0.1198 (0.1278) loss_seg: 0.1190 (0.1268) loss_lansim: 0.0829 (0.0859) loss_contra: 0.0029 (0.0175) time: 2.9341 data: 0.0061 max mem: 31630 Epoch: [9] [1170/5278] eta: 3:20:39 lr: 3.9494269984631146e-05 loss: 0.1196 (0.1278) loss_seg: 0.1190 (0.1267) loss_lansim: 0.0819 (0.0859) loss_contra: 0.0027 (0.0174) time: 2.9304 data: 0.0061 max mem: 31630 Epoch: [9] [1180/5278] eta: 3:20:11 lr: 3.949208188928971e-05 loss: 0.1196 (0.1276) loss_seg: 0.1187 (0.1266) loss_lansim: 0.0802 (0.0858) loss_contra: 0.0024 (0.0172) time: 2.9341 data: 0.0060 max mem: 31630 Epoch: [9] [1190/5278] eta: 3:19:41 lr: 3.94898937804778e-05 loss: 0.1172 (0.1279) loss_seg: 0.1165 (0.1269) loss_lansim: 0.0787 (0.0857) loss_contra: 0.0022 (0.0171) time: 2.9347 data: 0.0060 max mem: 31630 Epoch: [9] [1200/5278] eta: 3:19:12 lr: 3.948770565819452e-05 loss: 0.1171 (0.1278) loss_seg: 0.1162 (0.1268) loss_lansim: 0.0761 (0.0856) loss_contra: 0.0022 (0.0171) time: 2.9336 data: 0.0060 max mem: 31630 Epoch: [9] [1210/5278] eta: 3:18:40 lr: 3.9485517522438944e-05 loss: 0.1172 (0.1279) loss_seg: 0.1165 (0.1269) loss_lansim: 0.0758 (0.0856) loss_contra: 0.0022 (0.0169) time: 2.9270 data: 0.0059 max mem: 31630 Epoch: [9] [1220/5278] eta: 3:18:09 lr: 3.948332937321017e-05 loss: 0.1175 (0.1281) loss_seg: 0.1166 (0.1271) loss_lansim: 0.0756 (0.0856) loss_contra: 0.0022 (0.0171) time: 2.9220 data: 0.0058 max mem: 31630 Epoch: [9] [1230/5278] eta: 3:17:40 lr: 3.948114121050728e-05 loss: 0.1175 (0.1281) loss_seg: 0.1166 (0.1271) loss_lansim: 0.0752 (0.0855) loss_contra: 0.0023 (0.0171) time: 2.9212 data: 0.0058 max mem: 31630 Epoch: [9] [1240/5278] eta: 3:17:09 lr: 3.9478953034329355e-05 loss: 0.1175 (0.1281) loss_seg: 0.1166 (0.1271) loss_lansim: 0.0758 (0.0856) loss_contra: 0.0022 (0.0172) time: 2.9153 data: 0.0059 max mem: 31630 Epoch: [9] [1250/5278] eta: 3:16:37 lr: 3.9476764844675495e-05 loss: 0.1175 (0.1281) loss_seg: 0.1166 (0.1271) loss_lansim: 0.0800 (0.0857) loss_contra: 0.0023 (0.0177) time: 2.9081 data: 0.0058 max mem: 31630 Epoch: [9] [1260/5278] eta: 3:16:07 lr: 3.947457664154478e-05 loss: 0.1210 (0.1283) loss_seg: 0.1201 (0.1273) loss_lansim: 0.0811 (0.0857) loss_contra: 0.0029 (0.0182) time: 2.9062 data: 0.0058 max mem: 31630 Epoch: [9] [1270/5278] eta: 3:15:37 lr: 3.9472388424936296e-05 loss: 0.1195 (0.1283) loss_seg: 0.1187 (0.1273) loss_lansim: 0.0805 (0.0857) loss_contra: 0.0031 (0.0183) time: 2.9031 data: 0.0058 max mem: 31630 Epoch: [9] [1280/5278] eta: 3:15:05 lr: 3.947020019484913e-05 loss: 0.1224 (0.1282) loss_seg: 0.1218 (0.1272) loss_lansim: 0.0811 (0.0856) loss_contra: 0.0046 (0.0185) time: 2.8922 data: 0.0059 max mem: 31630 Epoch: [9] [1290/5278] eta: 3:14:35 lr: 3.9468011951282366e-05 loss: 0.1254 (0.1284) loss_seg: 0.1245 (0.1273) loss_lansim: 0.0805 (0.0855) loss_contra: 0.0050 (0.0187) time: 2.8913 data: 0.0059 max mem: 31630 Epoch: [9] [1300/5278] eta: 3:14:04 lr: 3.946582369423511e-05 loss: 0.1254 (0.1282) loss_seg: 0.1245 (0.1272) loss_lansim: 0.0805 (0.0853) loss_contra: 0.0054 (0.0188) time: 2.8844 data: 0.0058 max mem: 31630 Epoch: [9] [1310/5278] eta: 3:13:33 lr: 3.946363542370642e-05 loss: 0.1269 (0.1284) loss_seg: 0.1261 (0.1274) loss_lansim: 0.0793 (0.0852) loss_contra: 0.0085 (0.0189) time: 2.8843 data: 0.0059 max mem: 31630 Epoch: [9] [1320/5278] eta: 3:13:03 lr: 3.94614471396954e-05 loss: 0.1269 (0.1285) loss_seg: 0.1261 (0.1275) loss_lansim: 0.0752 (0.0850) loss_contra: 0.0086 (0.0189) time: 2.8851 data: 0.0059 max mem: 31630 Epoch: [9] [1330/5278] eta: 3:12:32 lr: 3.9459258842201134e-05 loss: 0.1268 (0.1285) loss_seg: 0.1261 (0.1275) loss_lansim: 0.0730 (0.0848) loss_contra: 0.0086 (0.0189) time: 2.8807 data: 0.0060 max mem: 31630 Epoch: [9] [1340/5278] eta: 3:12:03 lr: 3.94570705312227e-05 loss: 0.1267 (0.1284) loss_seg: 0.1261 (0.1274) loss_lansim: 0.0703 (0.0847) loss_contra: 0.0082 (0.0187) time: 2.8850 data: 0.0060 max mem: 31630 Epoch: [9] [1350/5278] eta: 3:11:34 lr: 3.945488220675919e-05 loss: 0.1268 (0.1285) loss_seg: 0.1262 (0.1275) loss_lansim: 0.0678 (0.0846) loss_contra: 0.0069 (0.0187) time: 2.8962 data: 0.0060 max mem: 31630 Epoch: [9] [1360/5278] eta: 3:11:04 lr: 3.9452693868809693e-05 loss: 0.1267 (0.1287) loss_seg: 0.1261 (0.1277) loss_lansim: 0.0664 (0.0844) loss_contra: 0.0063 (0.0186) time: 2.8937 data: 0.0060 max mem: 31630 Epoch: [9] [1370/5278] eta: 3:10:34 lr: 3.945050551737329e-05 loss: 0.1272 (0.1287) loss_seg: 0.1264 (0.1277) loss_lansim: 0.0647 (0.0842) loss_contra: 0.0052 (0.0185) time: 2.8927 data: 0.0060 max mem: 31630 Epoch: [9] [1380/5278] eta: 3:10:06 lr: 3.944831715244907e-05 loss: 0.1281 (0.1288) loss_seg: 0.1273 (0.1278) loss_lansim: 0.0637 (0.0841) loss_contra: 0.0040 (0.0185) time: 2.9030 data: 0.0061 max mem: 31630 Epoch: [9] [1390/5278] eta: 3:09:36 lr: 3.944612877403612e-05 loss: 0.1283 (0.1288) loss_seg: 0.1275 (0.1278) loss_lansim: 0.0637 (0.0840) loss_contra: 0.0040 (0.0185) time: 2.9044 data: 0.0061 max mem: 31630 Epoch: [9] [1400/5278] eta: 3:09:06 lr: 3.9443940382133506e-05 loss: 0.1363 (0.1289) loss_seg: 0.1356 (0.1279) loss_lansim: 0.0637 (0.0838) loss_contra: 0.0035 (0.0185) time: 2.9086 data: 0.0061 max mem: 31630 Epoch: [9] [1410/5278] eta: 3:08:38 lr: 3.944175197674034e-05 loss: 0.1281 (0.1287) loss_seg: 0.1273 (0.1277) loss_lansim: 0.0645 (0.0837) loss_contra: 0.0025 (0.0184) time: 2.9178 data: 0.0062 max mem: 31630 Epoch: [9] [1420/5278] eta: 3:08:09 lr: 3.9439563557855696e-05 loss: 0.1270 (0.1287) loss_seg: 0.1263 (0.1277) loss_lansim: 0.0639 (0.0836) loss_contra: 0.0024 (0.0184) time: 2.9231 data: 0.0062 max mem: 31630 Epoch: [9] [1430/5278] eta: 3:07:40 lr: 3.943737512547866e-05 loss: 0.1270 (0.1286) loss_seg: 0.1263 (0.1276) loss_lansim: 0.0642 (0.0834) loss_contra: 0.0023 (0.0183) time: 2.9256 data: 0.0062 max mem: 31630 Epoch: [9] [1440/5278] eta: 3:07:10 lr: 3.943518667960832e-05 loss: 0.1267 (0.1286) loss_seg: 0.1260 (0.1276) loss_lansim: 0.0639 (0.0833) loss_contra: 0.0024 (0.0183) time: 2.9244 data: 0.0062 max mem: 31630 Epoch: [9] [1450/5278] eta: 3:06:41 lr: 3.943299822024375e-05 loss: 0.1252 (0.1287) loss_seg: 0.1245 (0.1276) loss_lansim: 0.0639 (0.0832) loss_contra: 0.0025 (0.0182) time: 2.9234 data: 0.0062 max mem: 31630 Epoch: [9] [1460/5278] eta: 3:06:12 lr: 3.9430809747384054e-05 loss: 0.1242 (0.1287) loss_seg: 0.1235 (0.1277) loss_lansim: 0.0639 (0.0830) loss_contra: 0.0032 (0.0182) time: 2.9267 data: 0.0062 max mem: 31630 Epoch: [9] [1470/5278] eta: 3:05:41 lr: 3.942862126102829e-05 loss: 0.1210 (0.1285) loss_seg: 0.1203 (0.1275) loss_lansim: 0.0630 (0.0828) loss_contra: 0.0032 (0.0181) time: 2.9219 data: 0.0062 max mem: 31630 Epoch: [9] [1480/5278] eta: 3:05:12 lr: 3.942643276117556e-05 loss: 0.1222 (0.1288) loss_seg: 0.1216 (0.1278) loss_lansim: 0.0622 (0.0827) loss_contra: 0.0033 (0.0182) time: 2.9229 data: 0.0061 max mem: 31630 Epoch: [9] [1490/5278] eta: 3:04:43 lr: 3.942424424782494e-05 loss: 0.1222 (0.1288) loss_seg: 0.1216 (0.1278) loss_lansim: 0.0618 (0.0826) loss_contra: 0.0027 (0.0181) time: 2.9248 data: 0.0061 max mem: 31630 Epoch: [9] [1500/5278] eta: 3:04:13 lr: 3.9422055720975525e-05 loss: 0.1221 (0.1288) loss_seg: 0.1215 (0.1278) loss_lansim: 0.0612 (0.0824) loss_contra: 0.0032 (0.0181) time: 2.9216 data: 0.0061 max mem: 31630 Epoch: [9] [1510/5278] eta: 3:03:44 lr: 3.9419867180626396e-05 loss: 0.1222 (0.1287) loss_seg: 0.1216 (0.1277) loss_lansim: 0.0609 (0.0823) loss_contra: 0.0034 (0.0183) time: 2.9200 data: 0.0060 max mem: 31630 Epoch: [9] [1520/5278] eta: 3:03:15 lr: 3.9417678626776626e-05 loss: 0.1248 (0.1290) loss_seg: 0.1241 (0.1279) loss_lansim: 0.0607 (0.0821) loss_contra: 0.0037 (0.0184) time: 2.9207 data: 0.0060 max mem: 31630 Epoch: [9] [1530/5278] eta: 3:02:45 lr: 3.941549005942531e-05 loss: 0.1250 (0.1289) loss_seg: 0.1242 (0.1279) loss_lansim: 0.0607 (0.0820) loss_contra: 0.0040 (0.0183) time: 2.9193 data: 0.0060 max mem: 31630 Epoch: [9] [1540/5278] eta: 3:02:16 lr: 3.9413301478571535e-05 loss: 0.1267 (0.1292) loss_seg: 0.1260 (0.1282) loss_lansim: 0.0607 (0.0819) loss_contra: 0.0040 (0.0182) time: 2.9217 data: 0.0060 max mem: 31630 Epoch: [9] [1550/5278] eta: 3:01:48 lr: 3.941111288421437e-05 loss: 0.1250 (0.1291) loss_seg: 0.1242 (0.1281) loss_lansim: 0.0607 (0.0817) loss_contra: 0.0037 (0.0182) time: 2.9227 data: 0.0059 max mem: 31630 Epoch: [9] [1560/5278] eta: 3:01:18 lr: 3.940892427635291e-05 loss: 0.1250 (0.1292) loss_seg: 0.1242 (0.1282) loss_lansim: 0.0607 (0.0816) loss_contra: 0.0036 (0.0181) time: 2.9220 data: 0.0059 max mem: 31630 Epoch: [9] [1570/5278] eta: 3:00:49 lr: 3.940673565498624e-05 loss: 0.1267 (0.1294) loss_seg: 0.1260 (0.1284) loss_lansim: 0.0607 (0.0815) loss_contra: 0.0034 (0.0181) time: 2.9290 data: 0.0059 max mem: 31630 Epoch: [9] [1580/5278] eta: 3:00:20 lr: 3.940454702011343e-05 loss: 0.1202 (0.1292) loss_seg: 0.1197 (0.1282) loss_lansim: 0.0607 (0.0813) loss_contra: 0.0028 (0.0180) time: 2.9262 data: 0.0059 max mem: 31630 Epoch: [9] [1590/5278] eta: 2:59:51 lr: 3.9402358371733574e-05 loss: 0.1202 (0.1291) loss_seg: 0.1197 (0.1281) loss_lansim: 0.0598 (0.0812) loss_contra: 0.0023 (0.0179) time: 2.9279 data: 0.0059 max mem: 31630 Epoch: [9] [1600/5278] eta: 2:59:21 lr: 3.9400169709845754e-05 loss: 0.1228 (0.1293) loss_seg: 0.1221 (0.1283) loss_lansim: 0.0593 (0.0811) loss_contra: 0.0023 (0.0179) time: 2.9295 data: 0.0059 max mem: 31630 Epoch: [9] [1610/5278] eta: 2:58:52 lr: 3.939798103444905e-05 loss: 0.1229 (0.1293) loss_seg: 0.1223 (0.1283) loss_lansim: 0.0595 (0.0810) loss_contra: 0.0020 (0.0178) time: 2.9288 data: 0.0059 max mem: 31630 Epoch: [9] [1620/5278] eta: 2:58:23 lr: 3.939579234554255e-05 loss: 0.1215 (0.1292) loss_seg: 0.1205 (0.1282) loss_lansim: 0.0597 (0.0808) loss_contra: 0.0017 (0.0177) time: 2.9270 data: 0.0059 max mem: 31630 Epoch: [9] [1630/5278] eta: 2:57:54 lr: 3.939360364312532e-05 loss: 0.1178 (0.1291) loss_seg: 0.1170 (0.1281) loss_lansim: 0.0588 (0.0807) loss_contra: 0.0016 (0.0176) time: 2.9301 data: 0.0059 max mem: 31630 Epoch: [9] [1640/5278] eta: 2:57:24 lr: 3.939141492719647e-05 loss: 0.1162 (0.1290) loss_seg: 0.1156 (0.1280) loss_lansim: 0.0588 (0.0806) loss_contra: 0.0010 (0.0175) time: 2.9291 data: 0.0059 max mem: 31630 Epoch: [9] [1650/5278] eta: 2:56:54 lr: 3.9389226197755064e-05 loss: 0.1163 (0.1291) loss_seg: 0.1157 (0.1282) loss_lansim: 0.0590 (0.0804) loss_contra: 0.0010 (0.0174) time: 2.9216 data: 0.0059 max mem: 31630 Epoch: [9] [1660/5278] eta: 2:56:23 lr: 3.938703745480019e-05 loss: 0.1162 (0.1291) loss_seg: 0.1157 (0.1281) loss_lansim: 0.0588 (0.0803) loss_contra: 0.0009 (0.0174) time: 2.9131 data: 0.0060 max mem: 31630 Epoch: [9] [1670/5278] eta: 2:55:52 lr: 3.938484869833092e-05 loss: 0.1146 (0.1290) loss_seg: 0.1139 (0.1280) loss_lansim: 0.0588 (0.0802) loss_contra: 0.0009 (0.0173) time: 2.9080 data: 0.0060 max mem: 31630 Epoch: [9] [1680/5278] eta: 2:55:21 lr: 3.938265992834635e-05 loss: 0.1162 (0.1289) loss_seg: 0.1157 (0.1279) loss_lansim: 0.0590 (0.0801) loss_contra: 0.0008 (0.0173) time: 2.8975 data: 0.0060 max mem: 31630 Epoch: [9] [1690/5278] eta: 2:54:50 lr: 3.9380471144845555e-05 loss: 0.1127 (0.1289) loss_seg: 0.1122 (0.1279) loss_lansim: 0.0595 (0.0800) loss_contra: 0.0010 (0.0173) time: 2.8873 data: 0.0060 max mem: 31630 Epoch: [9] [1700/5278] eta: 2:54:19 lr: 3.9378282347827615e-05 loss: 0.1109 (0.1289) loss_seg: 0.1103 (0.1280) loss_lansim: 0.0594 (0.0799) loss_contra: 0.0008 (0.0172) time: 2.8815 data: 0.0060 max mem: 31630 Epoch: [9] [1710/5278] eta: 2:53:48 lr: 3.937609353729161e-05 loss: 0.1109 (0.1289) loss_seg: 0.1103 (0.1279) loss_lansim: 0.0596 (0.0797) loss_contra: 0.0009 (0.0172) time: 2.8700 data: 0.0061 max mem: 31630 Epoch: [9] [1720/5278] eta: 2:53:18 lr: 3.937390471323664e-05 loss: 0.1109 (0.1290) loss_seg: 0.1103 (0.1280) loss_lansim: 0.0596 (0.0796) loss_contra: 0.0009 (0.0171) time: 2.8638 data: 0.0061 max mem: 31630 Epoch: [9] [1730/5278] eta: 2:52:47 lr: 3.937171587566177e-05 loss: 0.1146 (0.1289) loss_seg: 0.1139 (0.1280) loss_lansim: 0.0597 (0.0795) loss_contra: 0.0010 (0.0171) time: 2.8553 data: 0.0062 max mem: 31630 Epoch: [9] [1740/5278] eta: 2:52:16 lr: 3.936952702456608e-05 loss: 0.1181 (0.1290) loss_seg: 0.1175 (0.1281) loss_lansim: 0.0594 (0.0794) loss_contra: 0.0014 (0.0170) time: 2.8520 data: 0.0063 max mem: 31630 Epoch: [9] [1750/5278] eta: 2:51:45 lr: 3.9367338159948656e-05 loss: 0.1181 (0.1290) loss_seg: 0.1175 (0.1281) loss_lansim: 0.0583 (0.0792) loss_contra: 0.0014 (0.0170) time: 2.8460 data: 0.0062 max mem: 31630 Epoch: [9] [1760/5278] eta: 2:51:15 lr: 3.936514928180858e-05 loss: 0.1176 (0.1290) loss_seg: 0.1168 (0.1280) loss_lansim: 0.0581 (0.0791) loss_contra: 0.0015 (0.0170) time: 2.8498 data: 0.0062 max mem: 31630 Epoch: [9] [1770/5278] eta: 2:50:45 lr: 3.936296039014493e-05 loss: 0.1169 (0.1289) loss_seg: 0.1163 (0.1280) loss_lansim: 0.0580 (0.0790) loss_contra: 0.0015 (0.0170) time: 2.8476 data: 0.0062 max mem: 31630 Epoch: [9] [1780/5278] eta: 2:50:15 lr: 3.936077148495678e-05 loss: 0.1198 (0.1289) loss_seg: 0.1193 (0.1279) loss_lansim: 0.0562 (0.0788) loss_contra: 0.0017 (0.0169) time: 2.8573 data: 0.0062 max mem: 31630 Epoch: [9] [1790/5278] eta: 2:49:47 lr: 3.935858256624323e-05 loss: 0.1210 (0.1290) loss_seg: 0.1203 (0.1280) loss_lansim: 0.0561 (0.0787) loss_contra: 0.0017 (0.0169) time: 2.8668 data: 0.0062 max mem: 31630 Epoch: [9] [1800/5278] eta: 2:49:17 lr: 3.9356393634003343e-05 loss: 0.1202 (0.1290) loss_seg: 0.1196 (0.1281) loss_lansim: 0.0561 (0.0786) loss_contra: 0.0027 (0.0171) time: 2.8735 data: 0.0061 max mem: 31630 Epoch: [9] [1810/5278] eta: 2:48:48 lr: 3.935420468823621e-05 loss: 0.1202 (0.1290) loss_seg: 0.1196 (0.1281) loss_lansim: 0.0558 (0.0785) loss_contra: 0.0020 (0.0172) time: 2.8860 data: 0.0061 max mem: 31630 Epoch: [9] [1820/5278] eta: 2:48:19 lr: 3.935201572894091e-05 loss: 0.1202 (0.1291) loss_seg: 0.1196 (0.1281) loss_lansim: 0.0558 (0.0784) loss_contra: 0.0023 (0.0171) time: 2.8877 data: 0.0061 max mem: 31630 Epoch: [9] [1830/5278] eta: 2:47:50 lr: 3.934982675611652e-05 loss: 0.1210 (0.1292) loss_seg: 0.1205 (0.1282) loss_lansim: 0.0557 (0.0783) loss_contra: 0.0026 (0.0174) time: 2.8978 data: 0.0060 max mem: 31630 Epoch: [9] [1840/5278] eta: 2:47:21 lr: 3.934763776976211e-05 loss: 0.1210 (0.1292) loss_seg: 0.1205 (0.1283) loss_lansim: 0.0546 (0.0781) loss_contra: 0.0034 (0.0174) time: 2.9017 data: 0.0059 max mem: 31630 Epoch: [9] [1850/5278] eta: 2:46:51 lr: 3.934544876987678e-05 loss: 0.1202 (0.1293) loss_seg: 0.1196 (0.1283) loss_lansim: 0.0549 (0.0780) loss_contra: 0.0051 (0.0181) time: 2.9113 data: 0.0059 max mem: 31630 Epoch: [9] [1860/5278] eta: 2:46:23 lr: 3.93432597564596e-05 loss: 0.1202 (0.1293) loss_seg: 0.1196 (0.1284) loss_lansim: 0.0557 (0.0779) loss_contra: 0.0052 (0.0181) time: 2.9174 data: 0.0059 max mem: 31630 Epoch: [9] [1870/5278] eta: 2:45:54 lr: 3.9341070729509646e-05 loss: 0.1223 (0.1294) loss_seg: 0.1205 (0.1284) loss_lansim: 0.0562 (0.0778) loss_contra: 0.0051 (0.0181) time: 2.9266 data: 0.0059 max mem: 31630 Epoch: [9] [1880/5278] eta: 2:45:24 lr: 3.933888168902602e-05 loss: 0.1210 (0.1293) loss_seg: 0.1203 (0.1284) loss_lansim: 0.0570 (0.0777) loss_contra: 0.0053 (0.0181) time: 2.9253 data: 0.0058 max mem: 31630 Epoch: [9] [1890/5278] eta: 2:44:56 lr: 3.933669263500776e-05 loss: 0.1177 (0.1293) loss_seg: 0.1171 (0.1284) loss_lansim: 0.0570 (0.0776) loss_contra: 0.0051 (0.0181) time: 2.9264 data: 0.0058 max mem: 31630 Epoch: [9] [1900/5278] eta: 2:44:27 lr: 3.933450356745398e-05 loss: 0.1190 (0.1293) loss_seg: 0.1183 (0.1284) loss_lansim: 0.0570 (0.0775) loss_contra: 0.0042 (0.0180) time: 2.9295 data: 0.0058 max mem: 31630 Epoch: [9] [1910/5278] eta: 2:43:57 lr: 3.9332314486363744e-05 loss: 0.1223 (0.1293) loss_seg: 0.1205 (0.1284) loss_lansim: 0.0575 (0.0774) loss_contra: 0.0044 (0.0181) time: 2.9232 data: 0.0058 max mem: 31630 Epoch: [9] [1920/5278] eta: 2:43:28 lr: 3.933012539173614e-05 loss: 0.1227 (0.1296) loss_seg: 0.1218 (0.1287) loss_lansim: 0.0570 (0.0773) loss_contra: 0.0048 (0.0180) time: 2.9289 data: 0.0058 max mem: 31630 Epoch: [9] [1930/5278] eta: 2:42:59 lr: 3.932793628357025e-05 loss: 0.1223 (0.1296) loss_seg: 0.1217 (0.1287) loss_lansim: 0.0581 (0.0772) loss_contra: 0.0048 (0.0180) time: 2.9292 data: 0.0057 max mem: 31630 Epoch: [9] [1940/5278] eta: 2:42:30 lr: 3.9325747161865134e-05 loss: 0.1223 (0.1296) loss_seg: 0.1214 (0.1287) loss_lansim: 0.0591 (0.0772) loss_contra: 0.0033 (0.0179) time: 2.9282 data: 0.0058 max mem: 31630 Epoch: [9] [1950/5278] eta: 2:42:00 lr: 3.932355802661989e-05 loss: 0.1221 (0.1296) loss_seg: 0.1205 (0.1287) loss_lansim: 0.0596 (0.0771) loss_contra: 0.0027 (0.0179) time: 2.9250 data: 0.0058 max mem: 31630 Epoch: [9] [1960/5278] eta: 2:41:31 lr: 3.9321368877833584e-05 loss: 0.1221 (0.1296) loss_seg: 0.1205 (0.1286) loss_lansim: 0.0610 (0.0771) loss_contra: 0.0027 (0.0178) time: 2.9250 data: 0.0058 max mem: 31630 Epoch: [9] [1970/5278] eta: 2:41:02 lr: 3.93191797155053e-05 loss: 0.1214 (0.1296) loss_seg: 0.1205 (0.1286) loss_lansim: 0.0608 (0.0770) loss_contra: 0.0022 (0.0178) time: 2.9253 data: 0.0058 max mem: 31630 Epoch: [9] [1980/5278] eta: 2:40:33 lr: 3.9316990539634115e-05 loss: 0.1214 (0.1295) loss_seg: 0.1205 (0.1286) loss_lansim: 0.0612 (0.0769) loss_contra: 0.0018 (0.0177) time: 2.9233 data: 0.0058 max mem: 31630 Epoch: [9] [1990/5278] eta: 2:40:03 lr: 3.9314801350219116e-05 loss: 0.1214 (0.1295) loss_seg: 0.1205 (0.1286) loss_lansim: 0.0613 (0.0769) loss_contra: 0.0018 (0.0177) time: 2.9177 data: 0.0058 max mem: 31630 Epoch: [9] [2000/5278] eta: 2:39:34 lr: 3.931261214725937e-05 loss: 0.1200 (0.1295) loss_seg: 0.1190 (0.1285) loss_lansim: 0.0614 (0.0768) loss_contra: 0.0022 (0.0177) time: 2.9183 data: 0.0058 max mem: 31630 Epoch: [9] [2010/5278] eta: 2:39:05 lr: 3.931042293075396e-05 loss: 0.1200 (0.1296) loss_seg: 0.1190 (0.1286) loss_lansim: 0.0621 (0.0767) loss_contra: 0.0019 (0.0176) time: 2.9233 data: 0.0058 max mem: 31630 Epoch: [9] [2020/5278] eta: 2:38:35 lr: 3.930823370070196e-05 loss: 0.1186 (0.1295) loss_seg: 0.1179 (0.1286) loss_lansim: 0.0627 (0.0766) loss_contra: 0.0019 (0.0175) time: 2.9141 data: 0.0058 max mem: 31630 Epoch: [9] [2030/5278] eta: 2:38:06 lr: 3.9306044457102455e-05 loss: 0.1175 (0.1295) loss_seg: 0.1169 (0.1285) loss_lansim: 0.0620 (0.0766) loss_contra: 0.0018 (0.0175) time: 2.9134 data: 0.0058 max mem: 31630 Epoch: [9] [2040/5278] eta: 2:37:37 lr: 3.930385519995452e-05 loss: 0.1186 (0.1295) loss_seg: 0.1180 (0.1286) loss_lansim: 0.0614 (0.0765) loss_contra: 0.0017 (0.0174) time: 2.9191 data: 0.0057 max mem: 31630 Epoch: [9] [2050/5278] eta: 2:37:08 lr: 3.930166592925723e-05 loss: 0.1186 (0.1294) loss_seg: 0.1179 (0.1285) loss_lansim: 0.0615 (0.0765) loss_contra: 0.0016 (0.0174) time: 2.9225 data: 0.0057 max mem: 31630 Epoch: [9] [2060/5278] eta: 2:36:39 lr: 3.929947664500965e-05 loss: 0.1200 (0.1295) loss_seg: 0.1192 (0.1285) loss_lansim: 0.0606 (0.0764) loss_contra: 0.0017 (0.0174) time: 2.9190 data: 0.0057 max mem: 31630 Epoch: [9] [2070/5278] eta: 2:36:10 lr: 3.9297287347210886e-05 loss: 0.1215 (0.1295) loss_seg: 0.1208 (0.1286) loss_lansim: 0.0617 (0.0764) loss_contra: 0.0018 (0.0176) time: 2.9171 data: 0.0057 max mem: 31630 Epoch: [9] [2080/5278] eta: 2:35:41 lr: 3.929509803586e-05 loss: 0.1278 (0.1296) loss_seg: 0.1273 (0.1286) loss_lansim: 0.0622 (0.0764) loss_contra: 0.0019 (0.0175) time: 2.9216 data: 0.0056 max mem: 31630 Epoch: [9] [2090/5278] eta: 2:35:12 lr: 3.929290871095607e-05 loss: 0.1285 (0.1296) loss_seg: 0.1274 (0.1287) loss_lansim: 0.0631 (0.0763) loss_contra: 0.0019 (0.0175) time: 2.9259 data: 0.0057 max mem: 31630 Epoch: [9] [2100/5278] eta: 2:34:42 lr: 3.9290719372498166e-05 loss: 0.1245 (0.1295) loss_seg: 0.1239 (0.1286) loss_lansim: 0.0642 (0.0763) loss_contra: 0.0017 (0.0175) time: 2.9231 data: 0.0057 max mem: 31630 Epoch: [9] [2110/5278] eta: 2:34:13 lr: 3.9288530020485374e-05 loss: 0.1176 (0.1295) loss_seg: 0.1170 (0.1285) loss_lansim: 0.0642 (0.0762) loss_contra: 0.0019 (0.0175) time: 2.9227 data: 0.0057 max mem: 31630 Epoch: [9] [2120/5278] eta: 2:33:44 lr: 3.9286340654916774e-05 loss: 0.1176 (0.1294) loss_seg: 0.1170 (0.1285) loss_lansim: 0.0640 (0.0761) loss_contra: 0.0021 (0.0175) time: 2.9269 data: 0.0057 max mem: 31630 Epoch: [9] [2130/5278] eta: 2:33:15 lr: 3.9284151275791426e-05 loss: 0.1198 (0.1294) loss_seg: 0.1192 (0.1285) loss_lansim: 0.0643 (0.0761) loss_contra: 0.0023 (0.0174) time: 2.9264 data: 0.0058 max mem: 31630 Epoch: [9] [2140/5278] eta: 2:32:45 lr: 3.928196188310843e-05 loss: 0.1176 (0.1294) loss_seg: 0.1170 (0.1285) loss_lansim: 0.0659 (0.0760) loss_contra: 0.0024 (0.0174) time: 2.9206 data: 0.0058 max mem: 31630 Epoch: [9] [2150/5278] eta: 2:32:16 lr: 3.927977247686684e-05 loss: 0.1195 (0.1294) loss_seg: 0.1190 (0.1285) loss_lansim: 0.0659 (0.0760) loss_contra: 0.0024 (0.0173) time: 2.9208 data: 0.0058 max mem: 31630 Epoch: [9] [2160/5278] eta: 2:31:46 lr: 3.9277583057065746e-05 loss: 0.1176 (0.1294) loss_seg: 0.1170 (0.1285) loss_lansim: 0.0668 (0.0760) loss_contra: 0.0024 (0.0173) time: 2.9187 data: 0.0058 max mem: 31630 Epoch: [9] [2170/5278] eta: 2:31:18 lr: 3.927539362370423e-05 loss: 0.1171 (0.1293) loss_seg: 0.1163 (0.1284) loss_lansim: 0.0649 (0.0759) loss_contra: 0.0021 (0.0172) time: 2.9227 data: 0.0058 max mem: 31630 Epoch: [9] [2180/5278] eta: 2:30:49 lr: 3.927320417678134e-05 loss: 0.1158 (0.1293) loss_seg: 0.1152 (0.1284) loss_lansim: 0.0643 (0.0759) loss_contra: 0.0021 (0.0172) time: 2.9219 data: 0.0058 max mem: 31630 Epoch: [9] [2190/5278] eta: 2:30:20 lr: 3.9271014716296186e-05 loss: 0.1146 (0.1292) loss_seg: 0.1138 (0.1283) loss_lansim: 0.0643 (0.0758) loss_contra: 0.0018 (0.0172) time: 2.9208 data: 0.0058 max mem: 31630 Epoch: [9] [2200/5278] eta: 2:29:50 lr: 3.926882524224781e-05 loss: 0.1176 (0.1292) loss_seg: 0.1170 (0.1283) loss_lansim: 0.0649 (0.0758) loss_contra: 0.0019 (0.0172) time: 2.9208 data: 0.0058 max mem: 31630 Epoch: [9] [2210/5278] eta: 2:29:21 lr: 3.9266635754635324e-05 loss: 0.1191 (0.1292) loss_seg: 0.1185 (0.1283) loss_lansim: 0.0652 (0.0757) loss_contra: 0.0018 (0.0171) time: 2.9192 data: 0.0058 max mem: 31630 Epoch: [9] [2220/5278] eta: 2:28:52 lr: 3.9264446253457786e-05 loss: 0.1183 (0.1292) loss_seg: 0.1176 (0.1282) loss_lansim: 0.0653 (0.0757) loss_contra: 0.0018 (0.0171) time: 2.9200 data: 0.0058 max mem: 31630 Epoch: [9] [2230/5278] eta: 2:28:23 lr: 3.9262256738714264e-05 loss: 0.1173 (0.1291) loss_seg: 0.1166 (0.1282) loss_lansim: 0.0664 (0.0757) loss_contra: 0.0017 (0.0171) time: 2.9255 data: 0.0057 max mem: 31630 Epoch: [9] [2240/5278] eta: 2:27:54 lr: 3.926006721040384e-05 loss: 0.1148 (0.1291) loss_seg: 0.1140 (0.1282) loss_lansim: 0.0672 (0.0758) loss_contra: 0.0017 (0.0171) time: 2.9255 data: 0.0058 max mem: 31630 Epoch: [9] [2250/5278] eta: 2:27:24 lr: 3.925787766852559e-05 loss: 0.1144 (0.1291) loss_seg: 0.1137 (0.1281) loss_lansim: 0.0694 (0.0758) loss_contra: 0.0017 (0.0170) time: 2.9228 data: 0.0058 max mem: 31630 Epoch: [9] [2260/5278] eta: 2:26:56 lr: 3.925568811307859e-05 loss: 0.1144 (0.1292) loss_seg: 0.1137 (0.1283) loss_lansim: 0.0714 (0.0759) loss_contra: 0.0014 (0.0170) time: 2.9307 data: 0.0057 max mem: 31630 Epoch: [9] [2270/5278] eta: 2:26:27 lr: 3.925349854406192e-05 loss: 0.1148 (0.1292) loss_seg: 0.1140 (0.1283) loss_lansim: 0.0735 (0.0761) loss_contra: 0.0020 (0.0170) time: 2.9316 data: 0.0058 max mem: 31630 Epoch: [9] [2280/5278] eta: 2:25:58 lr: 3.9251308961474644e-05 loss: 0.1180 (0.1293) loss_seg: 0.1173 (0.1283) loss_lansim: 0.0781 (0.0762) loss_contra: 0.0026 (0.0174) time: 2.9297 data: 0.0058 max mem: 31630 Epoch: [9] [2290/5278] eta: 2:25:29 lr: 3.924911936531583e-05 loss: 0.1203 (0.1293) loss_seg: 0.1183 (0.1284) loss_lansim: 0.0858 (0.0763) loss_contra: 0.0034 (0.0175) time: 2.9294 data: 0.0058 max mem: 31630 Epoch: [9] [2300/5278] eta: 2:25:00 lr: 3.9246929755584585e-05 loss: 0.1203 (0.1293) loss_seg: 0.1183 (0.1284) loss_lansim: 0.0908 (0.0765) loss_contra: 0.0060 (0.0176) time: 2.9326 data: 0.0058 max mem: 31630 Epoch: [9] [2310/5278] eta: 2:24:30 lr: 3.924474013227995e-05 loss: 0.1183 (0.1294) loss_seg: 0.1176 (0.1285) loss_lansim: 0.0940 (0.0766) loss_contra: 0.0071 (0.0178) time: 2.9339 data: 0.0058 max mem: 31630 Epoch: [9] [2320/5278] eta: 2:24:01 lr: 3.9242550495401015e-05 loss: 0.1207 (0.1295) loss_seg: 0.1196 (0.1286) loss_lansim: 0.0964 (0.0767) loss_contra: 0.0088 (0.0179) time: 2.9325 data: 0.0058 max mem: 31630 Epoch: [9] [2330/5278] eta: 2:23:32 lr: 3.9240360844946856e-05 loss: 0.1207 (0.1295) loss_seg: 0.1196 (0.1285) loss_lansim: 0.0991 (0.0768) loss_contra: 0.0091 (0.0179) time: 2.9298 data: 0.0058 max mem: 31630 Epoch: [9] [2340/5278] eta: 2:23:03 lr: 3.9238171180916534e-05 loss: 0.1207 (0.1295) loss_seg: 0.1196 (0.1285) loss_lansim: 0.1001 (0.0769) loss_contra: 0.0101 (0.0179) time: 2.9341 data: 0.0057 max mem: 31630 Epoch: [9] [2350/5278] eta: 2:22:34 lr: 3.9235981503309135e-05 loss: 0.1274 (0.1296) loss_seg: 0.1250 (0.1287) loss_lansim: 0.1003 (0.0770) loss_contra: 0.0133 (0.0179) time: 2.9339 data: 0.0057 max mem: 31630 Epoch: [9] [2360/5278] eta: 2:22:04 lr: 3.923379181212373e-05 loss: 0.1288 (0.1297) loss_seg: 0.1274 (0.1287) loss_lansim: 0.1006 (0.0770) loss_contra: 0.0133 (0.0179) time: 2.9272 data: 0.0058 max mem: 31630 Epoch: [9] [2370/5278] eta: 2:21:35 lr: 3.9231602107359384e-05 loss: 0.1259 (0.1296) loss_seg: 0.1246 (0.1286) loss_lansim: 0.0991 (0.0771) loss_contra: 0.0124 (0.0179) time: 2.9230 data: 0.0057 max mem: 31630 Epoch: [9] [2380/5278] eta: 2:21:06 lr: 3.922941238901519e-05 loss: 0.1259 (0.1298) loss_seg: 0.1246 (0.1288) loss_lansim: 0.0983 (0.0772) loss_contra: 0.0089 (0.0180) time: 2.9272 data: 0.0057 max mem: 31630 Epoch: [9] [2390/5278] eta: 2:20:37 lr: 3.922722265709021e-05 loss: 0.1302 (0.1299) loss_seg: 0.1287 (0.1290) loss_lansim: 0.0981 (0.0773) loss_contra: 0.0084 (0.0180) time: 2.9249 data: 0.0057 max mem: 31630 Epoch: [9] [2400/5278] eta: 2:20:08 lr: 3.922503291158351e-05 loss: 0.1300 (0.1299) loss_seg: 0.1280 (0.1290) loss_lansim: 0.0974 (0.0774) loss_contra: 0.0071 (0.0180) time: 2.9218 data: 0.0057 max mem: 31630 Epoch: [9] [2410/5278] eta: 2:19:39 lr: 3.922284315249417e-05 loss: 0.1313 (0.1300) loss_seg: 0.1303 (0.1290) loss_lansim: 0.0988 (0.0775) loss_contra: 0.0042 (0.0179) time: 2.9240 data: 0.0057 max mem: 31630 Epoch: [9] [2420/5278] eta: 2:19:09 lr: 3.922065337982127e-05 loss: 0.1339 (0.1300) loss_seg: 0.1322 (0.1291) loss_lansim: 0.0984 (0.0776) loss_contra: 0.0037 (0.0179) time: 2.9266 data: 0.0057 max mem: 31630 Epoch: [9] [2430/5278] eta: 2:18:40 lr: 3.9218463593563884e-05 loss: 0.1371 (0.1300) loss_seg: 0.1362 (0.1290) loss_lansim: 0.0988 (0.0777) loss_contra: 0.0037 (0.0179) time: 2.9215 data: 0.0057 max mem: 31630 Epoch: [9] [2440/5278] eta: 2:18:11 lr: 3.921627379372107e-05 loss: 0.1371 (0.1299) loss_seg: 0.1362 (0.1290) loss_lansim: 0.0978 (0.0778) loss_contra: 0.0028 (0.0178) time: 2.9201 data: 0.0057 max mem: 31630 Epoch: [9] [2450/5278] eta: 2:17:42 lr: 3.9214083980291906e-05 loss: 0.1371 (0.1300) loss_seg: 0.1362 (0.1290) loss_lansim: 0.0959 (0.0778) loss_contra: 0.0028 (0.0177) time: 2.9216 data: 0.0058 max mem: 31630 Epoch: [9] [2460/5278] eta: 2:17:12 lr: 3.921189415327548e-05 loss: 0.1334 (0.1299) loss_seg: 0.1324 (0.1289) loss_lansim: 0.0956 (0.0779) loss_contra: 0.0026 (0.0177) time: 2.9226 data: 0.0058 max mem: 31630 Epoch: [9] [2470/5278] eta: 2:16:44 lr: 3.920970431267084e-05 loss: 0.1371 (0.1299) loss_seg: 0.1362 (0.1290) loss_lansim: 0.0956 (0.0780) loss_contra: 0.0021 (0.0176) time: 2.9266 data: 0.0058 max mem: 31630 Epoch: [9] [2480/5278] eta: 2:16:15 lr: 3.920751445847707e-05 loss: 0.1340 (0.1299) loss_seg: 0.1331 (0.1289) loss_lansim: 0.0948 (0.0780) loss_contra: 0.0017 (0.0176) time: 2.9270 data: 0.0058 max mem: 31630 Epoch: [9] [2490/5278] eta: 2:15:45 lr: 3.920532459069325e-05 loss: 0.1292 (0.1299) loss_seg: 0.1280 (0.1289) loss_lansim: 0.0956 (0.0781) loss_contra: 0.0017 (0.0175) time: 2.9272 data: 0.0058 max mem: 31630 Epoch: [9] [2500/5278] eta: 2:15:16 lr: 3.920313470931844e-05 loss: 0.1286 (0.1299) loss_seg: 0.1269 (0.1290) loss_lansim: 0.0956 (0.0782) loss_contra: 0.0017 (0.0175) time: 2.9311 data: 0.0059 max mem: 31630 Epoch: [9] [2510/5278] eta: 2:14:47 lr: 3.9200944814351726e-05 loss: 0.1286 (0.1300) loss_seg: 0.1269 (0.1291) loss_lansim: 0.0956 (0.0783) loss_contra: 0.0021 (0.0175) time: 2.9269 data: 0.0058 max mem: 31630 Epoch: [9] [2520/5278] eta: 2:14:18 lr: 3.919875490579217e-05 loss: 0.1278 (0.1300) loss_seg: 0.1267 (0.1291) loss_lansim: 0.0947 (0.0784) loss_contra: 0.0019 (0.0175) time: 2.9264 data: 0.0059 max mem: 31630 Epoch: [9] [2530/5278] eta: 2:13:48 lr: 3.9196564983638835e-05 loss: 0.1278 (0.1301) loss_seg: 0.1267 (0.1291) loss_lansim: 0.0956 (0.0785) loss_contra: 0.0019 (0.0174) time: 2.9264 data: 0.0058 max mem: 31630 Epoch: [9] [2540/5278] eta: 2:13:19 lr: 3.919437504789081e-05 loss: 0.1278 (0.1300) loss_seg: 0.1267 (0.1290) loss_lansim: 0.0962 (0.0785) loss_contra: 0.0022 (0.0174) time: 2.9250 data: 0.0058 max mem: 31630 Epoch: [9] [2550/5278] eta: 2:12:50 lr: 3.919218509854716e-05 loss: 0.1262 (0.1300) loss_seg: 0.1250 (0.1290) loss_lansim: 0.0962 (0.0786) loss_contra: 0.0022 (0.0174) time: 2.9255 data: 0.0058 max mem: 31630 Epoch: [9] [2560/5278] eta: 2:12:21 lr: 3.9189995135606955e-05 loss: 0.1271 (0.1300) loss_seg: 0.1263 (0.1291) loss_lansim: 0.0975 (0.0787) loss_contra: 0.0022 (0.0174) time: 2.9271 data: 0.0058 max mem: 31630 Epoch: [9] [2570/5278] eta: 2:11:51 lr: 3.918780515906927e-05 loss: 0.1240 (0.1300) loss_seg: 0.1230 (0.1290) loss_lansim: 0.0949 (0.0787) loss_contra: 0.0021 (0.0174) time: 2.9212 data: 0.0057 max mem: 31630 Epoch: [9] [2580/5278] eta: 2:11:22 lr: 3.918561516893317e-05 loss: 0.1240 (0.1299) loss_seg: 0.1230 (0.1289) loss_lansim: 0.0949 (0.0788) loss_contra: 0.0017 (0.0173) time: 2.9185 data: 0.0057 max mem: 31630 Epoch: [9] [2590/5278] eta: 2:10:53 lr: 3.9183425165197734e-05 loss: 0.1223 (0.1299) loss_seg: 0.1214 (0.1290) loss_lansim: 0.0943 (0.0788) loss_contra: 0.0017 (0.0173) time: 2.9177 data: 0.0057 max mem: 31630 Epoch: [9] [2600/5278] eta: 2:10:24 lr: 3.918123514786203e-05 loss: 0.1208 (0.1299) loss_seg: 0.1196 (0.1289) loss_lansim: 0.0949 (0.0789) loss_contra: 0.0017 (0.0173) time: 2.9145 data: 0.0056 max mem: 31630 Epoch: [9] [2610/5278] eta: 2:09:55 lr: 3.9179045116925114e-05 loss: 0.1208 (0.1300) loss_seg: 0.1196 (0.1290) loss_lansim: 0.0939 (0.0789) loss_contra: 0.0016 (0.0172) time: 2.9197 data: 0.0057 max mem: 31630 Epoch: [9] [2620/5278] eta: 2:09:25 lr: 3.9176855072386085e-05 loss: 0.1176 (0.1299) loss_seg: 0.1166 (0.1289) loss_lansim: 0.0940 (0.0790) loss_contra: 0.0014 (0.0173) time: 2.9200 data: 0.0057 max mem: 31630 Epoch: [9] [2630/5278] eta: 2:08:56 lr: 3.917466501424399e-05 loss: 0.1175 (0.1299) loss_seg: 0.1166 (0.1289) loss_lansim: 0.0940 (0.0791) loss_contra: 0.0014 (0.0173) time: 2.9231 data: 0.0057 max mem: 31630 Epoch: [9] [2640/5278] eta: 2:08:27 lr: 3.9172474942497925e-05 loss: 0.1185 (0.1299) loss_seg: 0.1177 (0.1289) loss_lansim: 0.0949 (0.0792) loss_contra: 0.0017 (0.0173) time: 2.9186 data: 0.0057 max mem: 31630 Epoch: [9] [2650/5278] eta: 2:07:57 lr: 3.917028485714693e-05 loss: 0.1217 (0.1299) loss_seg: 0.1201 (0.1290) loss_lansim: 0.0967 (0.0793) loss_contra: 0.0023 (0.0173) time: 2.9121 data: 0.0057 max mem: 31630 Epoch: [9] [2660/5278] eta: 2:07:27 lr: 3.9168094758190086e-05 loss: 0.1217 (0.1300) loss_seg: 0.1201 (0.1290) loss_lansim: 0.0976 (0.0794) loss_contra: 0.0025 (0.0173) time: 2.9083 data: 0.0057 max mem: 31630 Epoch: [9] [2670/5278] eta: 2:06:58 lr: 3.916590464562648e-05 loss: 0.1228 (0.1301) loss_seg: 0.1217 (0.1291) loss_lansim: 0.0990 (0.0795) loss_contra: 0.0029 (0.0173) time: 2.9092 data: 0.0058 max mem: 31630 Epoch: [9] [2680/5278] eta: 2:06:29 lr: 3.9163714519455156e-05 loss: 0.1267 (0.1302) loss_seg: 0.1258 (0.1292) loss_lansim: 0.1000 (0.0796) loss_contra: 0.0036 (0.0173) time: 2.9085 data: 0.0058 max mem: 31630 Epoch: [9] [2690/5278] eta: 2:05:59 lr: 3.91615243796752e-05 loss: 0.1254 (0.1301) loss_seg: 0.1243 (0.1291) loss_lansim: 0.1005 (0.0797) loss_contra: 0.0038 (0.0173) time: 2.9073 data: 0.0058 max mem: 31630 Epoch: [9] [2700/5278] eta: 2:05:30 lr: 3.915933422628568e-05 loss: 0.1291 (0.1302) loss_seg: 0.1278 (0.1292) loss_lansim: 0.1006 (0.0798) loss_contra: 0.0036 (0.0173) time: 2.9050 data: 0.0058 max mem: 31630 Epoch: [9] [2710/5278] eta: 2:05:00 lr: 3.9157144059285664e-05 loss: 0.1291 (0.1302) loss_seg: 0.1279 (0.1292) loss_lansim: 0.1003 (0.0798) loss_contra: 0.0038 (0.0174) time: 2.8985 data: 0.0058 max mem: 31630 Epoch: [9] [2720/5278] eta: 2:04:31 lr: 3.915495387867422e-05 loss: 0.1313 (0.1302) loss_seg: 0.1302 (0.1292) loss_lansim: 0.0991 (0.0799) loss_contra: 0.0042 (0.0173) time: 2.8927 data: 0.0058 max mem: 31630 Epoch: [9] [2730/5278] eta: 2:04:01 lr: 3.915276368445042e-05 loss: 0.1361 (0.1303) loss_seg: 0.1350 (0.1293) loss_lansim: 0.0986 (0.0799) loss_contra: 0.0038 (0.0173) time: 2.8876 data: 0.0059 max mem: 31630 Epoch: [9] [2740/5278] eta: 2:03:31 lr: 3.9150573476613334e-05 loss: 0.1385 (0.1304) loss_seg: 0.1375 (0.1294) loss_lansim: 0.0969 (0.0799) loss_contra: 0.0035 (0.0173) time: 2.8875 data: 0.0060 max mem: 31630 Epoch: [9] [2750/5278] eta: 2:03:02 lr: 3.914838325516203e-05 loss: 0.1361 (0.1304) loss_seg: 0.1350 (0.1294) loss_lansim: 0.0960 (0.0800) loss_contra: 0.0035 (0.0172) time: 2.8875 data: 0.0060 max mem: 31630 Epoch: [9] [2760/5278] eta: 2:02:33 lr: 3.9146193020095574e-05 loss: 0.1401 (0.1305) loss_seg: 0.1390 (0.1295) loss_lansim: 0.0933 (0.0800) loss_contra: 0.0030 (0.0172) time: 2.8958 data: 0.0059 max mem: 31630 Epoch: [9] [2770/5278] eta: 2:02:04 lr: 3.914400277141303e-05 loss: 0.1421 (0.1306) loss_seg: 0.1411 (0.1296) loss_lansim: 0.0929 (0.0800) loss_contra: 0.0026 (0.0171) time: 2.8963 data: 0.0059 max mem: 31630 Epoch: [9] [2780/5278] eta: 2:01:34 lr: 3.914181250911349e-05 loss: 0.1297 (0.1306) loss_seg: 0.1288 (0.1296) loss_lansim: 0.0930 (0.0801) loss_contra: 0.0020 (0.0173) time: 2.8956 data: 0.0059 max mem: 31630 Epoch: [9] [2790/5278] eta: 2:01:05 lr: 3.913962223319599e-05 loss: 0.1401 (0.1306) loss_seg: 0.1390 (0.1296) loss_lansim: 0.0929 (0.0802) loss_contra: 0.0017 (0.0173) time: 2.8998 data: 0.0059 max mem: 31630 Epoch: [9] [2800/5278] eta: 2:00:36 lr: 3.9137431943659634e-05 loss: 0.1297 (0.1306) loss_seg: 0.1288 (0.1296) loss_lansim: 0.0930 (0.0803) loss_contra: 0.0020 (0.0172) time: 2.9052 data: 0.0060 max mem: 31630 Epoch: [9] [2810/5278] eta: 2:00:07 lr: 3.913524164050346e-05 loss: 0.1380 (0.1306) loss_seg: 0.1367 (0.1296) loss_lansim: 0.0939 (0.0805) loss_contra: 0.0022 (0.0173) time: 2.9100 data: 0.0060 max mem: 31630 Epoch: [9] [2820/5278] eta: 1:59:38 lr: 3.913305132372655e-05 loss: 0.1363 (0.1306) loss_seg: 0.1348 (0.1296) loss_lansim: 0.0998 (0.0807) loss_contra: 0.0028 (0.0173) time: 2.9121 data: 0.0060 max mem: 31630 Epoch: [9] [2830/5278] eta: 1:59:09 lr: 3.913086099332797e-05 loss: 0.1304 (0.1307) loss_seg: 0.1294 (0.1297) loss_lansim: 0.1047 (0.0809) loss_contra: 0.0033 (0.0174) time: 2.9181 data: 0.0059 max mem: 31630 Epoch: [9] [2840/5278] eta: 1:58:40 lr: 3.9128670649306795e-05 loss: 0.1281 (0.1306) loss_seg: 0.1270 (0.1296) loss_lansim: 0.1109 (0.0811) loss_contra: 0.0038 (0.0174) time: 2.9281 data: 0.0059 max mem: 31630 Epoch: [9] [2850/5278] eta: 1:58:11 lr: 3.912648029166208e-05 loss: 0.1281 (0.1306) loss_seg: 0.1268 (0.1296) loss_lansim: 0.1191 (0.0813) loss_contra: 0.0033 (0.0174) time: 2.9324 data: 0.0059 max mem: 31630 Epoch: [9] [2860/5278] eta: 1:57:41 lr: 3.9124289920392896e-05 loss: 0.1238 (0.1306) loss_seg: 0.1230 (0.1296) loss_lansim: 0.1228 (0.0815) loss_contra: 0.0040 (0.0174) time: 2.9269 data: 0.0059 max mem: 31630 Epoch: [9] [2870/5278] eta: 1:57:12 lr: 3.912209953549832e-05 loss: 0.1222 (0.1306) loss_seg: 0.1208 (0.1296) loss_lansim: 0.1246 (0.0816) loss_contra: 0.0040 (0.0173) time: 2.9285 data: 0.0059 max mem: 31630 Epoch: [9] [2880/5278] eta: 1:56:43 lr: 3.911990913697742e-05 loss: 0.1222 (0.1306) loss_seg: 0.1208 (0.1296) loss_lansim: 0.1249 (0.0817) loss_contra: 0.0038 (0.0173) time: 2.9310 data: 0.0058 max mem: 31630 Epoch: [9] [2890/5278] eta: 1:56:14 lr: 3.911771872482924e-05 loss: 0.1221 (0.1306) loss_seg: 0.1207 (0.1296) loss_lansim: 0.1254 (0.0818) loss_contra: 0.0042 (0.0172) time: 2.9309 data: 0.0058 max mem: 31630 Epoch: [9] [2900/5278] eta: 1:55:45 lr: 3.911552829905288e-05 loss: 0.1222 (0.1305) loss_seg: 0.1208 (0.1295) loss_lansim: 0.1295 (0.0820) loss_contra: 0.0034 (0.0172) time: 2.9273 data: 0.0058 max mem: 31630 Epoch: [9] [2910/5278] eta: 1:55:15 lr: 3.911333785964738e-05 loss: 0.1213 (0.1305) loss_seg: 0.1201 (0.1295) loss_lansim: 0.1261 (0.0822) loss_contra: 0.0031 (0.0173) time: 2.9234 data: 0.0058 max mem: 31630 Epoch: [9] [2920/5278] eta: 1:54:46 lr: 3.9111147406611825e-05 loss: 0.1221 (0.1306) loss_seg: 0.1207 (0.1296) loss_lansim: 0.1242 (0.0823) loss_contra: 0.0025 (0.0172) time: 2.9289 data: 0.0058 max mem: 31630 Epoch: [9] [2930/5278] eta: 1:54:17 lr: 3.910895693994528e-05 loss: 0.1222 (0.1307) loss_seg: 0.1209 (0.1297) loss_lansim: 0.1213 (0.0823) loss_contra: 0.0022 (0.0172) time: 2.9272 data: 0.0059 max mem: 31630 Epoch: [9] [2940/5278] eta: 1:53:48 lr: 3.91067664596468e-05 loss: 0.1237 (0.1307) loss_seg: 0.1223 (0.1297) loss_lansim: 0.1178 (0.0824) loss_contra: 0.0026 (0.0173) time: 2.9260 data: 0.0059 max mem: 31630 Epoch: [9] [2950/5278] eta: 1:53:19 lr: 3.910457596571547e-05 loss: 0.1229 (0.1307) loss_seg: 0.1216 (0.1297) loss_lansim: 0.1127 (0.0824) loss_contra: 0.0025 (0.0172) time: 2.9229 data: 0.0060 max mem: 31630 Epoch: [9] [2960/5278] eta: 1:52:50 lr: 3.9102385458150335e-05 loss: 0.1266 (0.1307) loss_seg: 0.1255 (0.1297) loss_lansim: 0.1084 (0.0824) loss_contra: 0.0025 (0.0172) time: 2.9243 data: 0.0059 max mem: 31630 Epoch: [9] [2970/5278] eta: 1:52:21 lr: 3.910019493695048e-05 loss: 0.1266 (0.1307) loss_seg: 0.1255 (0.1297) loss_lansim: 0.1032 (0.0824) loss_contra: 0.0020 (0.0172) time: 2.9268 data: 0.0059 max mem: 31630 Epoch: [9] [2980/5278] eta: 1:51:52 lr: 3.9098004402114955e-05 loss: 0.1222 (0.1306) loss_seg: 0.1209 (0.1297) loss_lansim: 0.0984 (0.0824) loss_contra: 0.0022 (0.0172) time: 2.9282 data: 0.0059 max mem: 31630 Epoch: [9] [2990/5278] eta: 1:51:22 lr: 3.909581385364284e-05 loss: 0.1227 (0.1307) loss_seg: 0.1212 (0.1297) loss_lansim: 0.0932 (0.0824) loss_contra: 0.0021 (0.0171) time: 2.9232 data: 0.0059 max mem: 31630 Epoch: [9] [3000/5278] eta: 1:50:53 lr: 3.909362329153321e-05 loss: 0.1231 (0.1307) loss_seg: 0.1223 (0.1297) loss_lansim: 0.0886 (0.0824) loss_contra: 0.0026 (0.0171) time: 2.9249 data: 0.0059 max mem: 31630 Epoch: [9] [3010/5278] eta: 1:50:24 lr: 3.90914327157851e-05 loss: 0.1285 (0.1306) loss_seg: 0.1273 (0.1297) loss_lansim: 0.0862 (0.0824) loss_contra: 0.0026 (0.0171) time: 2.9297 data: 0.0059 max mem: 31630 Epoch: [9] [3020/5278] eta: 1:49:55 lr: 3.9089242126397604e-05 loss: 0.1217 (0.1306) loss_seg: 0.1208 (0.1296) loss_lansim: 0.0846 (0.0824) loss_contra: 0.0027 (0.0170) time: 2.9305 data: 0.0060 max mem: 31630 Epoch: [9] [3030/5278] eta: 1:49:25 lr: 3.9087051523369766e-05 loss: 0.1217 (0.1307) loss_seg: 0.1208 (0.1297) loss_lansim: 0.0829 (0.0824) loss_contra: 0.0027 (0.0170) time: 2.9240 data: 0.0059 max mem: 31630 Epoch: [9] [3040/5278] eta: 1:48:56 lr: 3.908486090670068e-05 loss: 0.1186 (0.1306) loss_seg: 0.1175 (0.1296) loss_lansim: 0.0819 (0.0824) loss_contra: 0.0025 (0.0170) time: 2.9239 data: 0.0059 max mem: 31630 Epoch: [9] [3050/5278] eta: 1:48:27 lr: 3.9082670276389374e-05 loss: 0.1217 (0.1306) loss_seg: 0.1208 (0.1296) loss_lansim: 0.0825 (0.0824) loss_contra: 0.0025 (0.0171) time: 2.9301 data: 0.0059 max mem: 31630 Epoch: [9] [3060/5278] eta: 1:47:58 lr: 3.908047963243494e-05 loss: 0.1225 (0.1306) loss_seg: 0.1215 (0.1296) loss_lansim: 0.0832 (0.0825) loss_contra: 0.0023 (0.0170) time: 2.9330 data: 0.0059 max mem: 31630 Epoch: [9] [3070/5278] eta: 1:47:29 lr: 3.907828897483644e-05 loss: 0.1231 (0.1306) loss_seg: 0.1223 (0.1296) loss_lansim: 0.0846 (0.0826) loss_contra: 0.0025 (0.0174) time: 2.9293 data: 0.0059 max mem: 31630 Epoch: [9] [3080/5278] eta: 1:47:00 lr: 3.907609830359294e-05 loss: 0.1243 (0.1306) loss_seg: 0.1235 (0.1296) loss_lansim: 0.0862 (0.0826) loss_contra: 0.0023 (0.0174) time: 2.9279 data: 0.0060 max mem: 31630 Epoch: [9] [3090/5278] eta: 1:46:31 lr: 3.90739076187035e-05 loss: 0.1267 (0.1307) loss_seg: 0.1259 (0.1297) loss_lansim: 0.0870 (0.0827) loss_contra: 0.0027 (0.0175) time: 2.9352 data: 0.0059 max mem: 31630 Epoch: [9] [3100/5278] eta: 1:46:02 lr: 3.9071716920167186e-05 loss: 0.1231 (0.1306) loss_seg: 0.1221 (0.1296) loss_lansim: 0.0900 (0.0827) loss_contra: 0.0029 (0.0175) time: 2.9379 data: 0.0059 max mem: 31630 Epoch: [9] [3110/5278] eta: 1:45:33 lr: 3.906952620798305e-05 loss: 0.1216 (0.1305) loss_seg: 0.1206 (0.1295) loss_lansim: 0.0920 (0.0828) loss_contra: 0.0028 (0.0175) time: 2.9356 data: 0.0059 max mem: 31630 Epoch: [9] [3120/5278] eta: 1:45:04 lr: 3.906733548215019e-05 loss: 0.1225 (0.1306) loss_seg: 0.1211 (0.1296) loss_lansim: 0.0935 (0.0828) loss_contra: 0.0028 (0.0176) time: 2.9335 data: 0.0059 max mem: 31630 Epoch: [9] [3130/5278] eta: 1:44:34 lr: 3.906514474266764e-05 loss: 0.1213 (0.1306) loss_seg: 0.1204 (0.1296) loss_lansim: 0.0960 (0.0829) loss_contra: 0.0034 (0.0176) time: 2.9376 data: 0.0059 max mem: 31630 Epoch: [9] [3140/5278] eta: 1:44:05 lr: 3.906295398953447e-05 loss: 0.1225 (0.1306) loss_seg: 0.1211 (0.1296) loss_lansim: 0.0963 (0.0830) loss_contra: 0.0040 (0.0176) time: 2.9341 data: 0.0059 max mem: 31630 Epoch: [9] [3150/5278] eta: 1:43:36 lr: 3.906076322274976e-05 loss: 0.1213 (0.1306) loss_seg: 0.1204 (0.1296) loss_lansim: 0.0996 (0.0830) loss_contra: 0.0045 (0.0176) time: 2.9340 data: 0.0060 max mem: 31630 Epoch: [9] [3160/5278] eta: 1:43:07 lr: 3.905857244231255e-05 loss: 0.1189 (0.1306) loss_seg: 0.1179 (0.1296) loss_lansim: 0.1000 (0.0831) loss_contra: 0.0060 (0.0177) time: 2.9315 data: 0.0059 max mem: 31630 Epoch: [9] [3170/5278] eta: 1:42:38 lr: 3.905638164822194e-05 loss: 0.1189 (0.1306) loss_seg: 0.1179 (0.1296) loss_lansim: 0.0996 (0.0832) loss_contra: 0.0070 (0.0178) time: 2.9312 data: 0.0059 max mem: 31630 Epoch: [9] [3180/5278] eta: 1:42:09 lr: 3.905419084047695e-05 loss: 0.1189 (0.1306) loss_seg: 0.1179 (0.1295) loss_lansim: 0.0986 (0.0832) loss_contra: 0.0074 (0.0179) time: 2.9312 data: 0.0060 max mem: 31630 Epoch: [9] [3190/5278] eta: 1:41:40 lr: 3.905200001907667e-05 loss: 0.1184 (0.1306) loss_seg: 0.1173 (0.1296) loss_lansim: 0.0979 (0.0832) loss_contra: 0.0101 (0.0180) time: 2.9307 data: 0.0060 max mem: 31630 Epoch: [9] [3200/5278] eta: 1:41:11 lr: 3.9049809184020156e-05 loss: 0.1187 (0.1306) loss_seg: 0.1174 (0.1295) loss_lansim: 0.0966 (0.0832) loss_contra: 0.0105 (0.0182) time: 2.9286 data: 0.0059 max mem: 31630 Epoch: [9] [3210/5278] eta: 1:40:41 lr: 3.9047618335306474e-05 loss: 0.1225 (0.1306) loss_seg: 0.1210 (0.1296) loss_lansim: 0.0955 (0.0833) loss_contra: 0.0122 (0.0183) time: 2.9236 data: 0.0059 max mem: 31630 Epoch: [9] [3220/5278] eta: 1:40:12 lr: 3.90454274729347e-05 loss: 0.1195 (0.1306) loss_seg: 0.1181 (0.1296) loss_lansim: 0.0951 (0.0833) loss_contra: 0.0132 (0.0186) time: 2.9254 data: 0.0059 max mem: 31630 Epoch: [9] [3230/5278] eta: 1:39:43 lr: 3.904323659690387e-05 loss: 0.1206 (0.1305) loss_seg: 0.1196 (0.1295) loss_lansim: 0.0920 (0.0833) loss_contra: 0.0140 (0.0186) time: 2.9308 data: 0.0059 max mem: 31630 Epoch: [9] [3240/5278] eta: 1:39:14 lr: 3.904104570721307e-05 loss: 0.1187 (0.1305) loss_seg: 0.1174 (0.1295) loss_lansim: 0.0893 (0.0832) loss_contra: 0.0145 (0.0186) time: 2.9339 data: 0.0059 max mem: 31630 Epoch: [9] [3250/5278] eta: 1:38:45 lr: 3.9038854803861356e-05 loss: 0.1206 (0.1305) loss_seg: 0.1196 (0.1295) loss_lansim: 0.0859 (0.0832) loss_contra: 0.0173 (0.0187) time: 2.9335 data: 0.0058 max mem: 31630 Epoch: [9] [3260/5278] eta: 1:38:15 lr: 3.903666388684778e-05 loss: 0.1157 (0.1304) loss_seg: 0.1144 (0.1294) loss_lansim: 0.0846 (0.0832) loss_contra: 0.0145 (0.0187) time: 2.9305 data: 0.0058 max mem: 31630 Epoch: [9] [3270/5278] eta: 1:37:47 lr: 3.9034472956171425e-05 loss: 0.1142 (0.1304) loss_seg: 0.1131 (0.1294) loss_lansim: 0.0832 (0.0832) loss_contra: 0.0143 (0.0188) time: 2.9363 data: 0.0058 max mem: 31630 Epoch: [9] [3280/5278] eta: 1:37:18 lr: 3.903228201183134e-05 loss: 0.1206 (0.1305) loss_seg: 0.1196 (0.1295) loss_lansim: 0.0824 (0.0832) loss_contra: 0.0143 (0.0188) time: 2.9379 data: 0.0058 max mem: 31630 Epoch: [9] [3290/5278] eta: 1:36:48 lr: 3.903009105382659e-05 loss: 0.1206 (0.1305) loss_seg: 0.1196 (0.1295) loss_lansim: 0.0807 (0.0832) loss_contra: 0.0110 (0.0188) time: 2.9305 data: 0.0057 max mem: 31630 Epoch: [9] [3300/5278] eta: 1:36:19 lr: 3.9027900082156246e-05 loss: 0.1262 (0.1306) loss_seg: 0.1253 (0.1296) loss_lansim: 0.0803 (0.0832) loss_contra: 0.0104 (0.0188) time: 2.9291 data: 0.0058 max mem: 31630 Epoch: [9] [3310/5278] eta: 1:35:50 lr: 3.902570909681936e-05 loss: 0.1262 (0.1306) loss_seg: 0.1253 (0.1296) loss_lansim: 0.0793 (0.0832) loss_contra: 0.0108 (0.0189) time: 2.9339 data: 0.0058 max mem: 31630 Epoch: [9] [3320/5278] eta: 1:35:20 lr: 3.9023518097815e-05 loss: 0.1273 (0.1306) loss_seg: 0.1259 (0.1296) loss_lansim: 0.0798 (0.0832) loss_contra: 0.0108 (0.0188) time: 2.9319 data: 0.0058 max mem: 31630 Epoch: [9] [3330/5278] eta: 1:34:51 lr: 3.9021327085142226e-05 loss: 0.1268 (0.1306) loss_seg: 0.1258 (0.1296) loss_lansim: 0.0783 (0.0832) loss_contra: 0.0092 (0.0188) time: 2.9313 data: 0.0058 max mem: 31630 Epoch: [9] [3340/5278] eta: 1:34:22 lr: 3.901913605880009e-05 loss: 0.1273 (0.1306) loss_seg: 0.1261 (0.1296) loss_lansim: 0.0803 (0.0832) loss_contra: 0.0079 (0.0188) time: 2.9274 data: 0.0058 max mem: 31630 Epoch: [9] [3350/5278] eta: 1:33:53 lr: 3.901694501878767e-05 loss: 0.1262 (0.1306) loss_seg: 0.1253 (0.1295) loss_lansim: 0.0807 (0.0832) loss_contra: 0.0050 (0.0188) time: 2.9286 data: 0.0058 max mem: 31630 Epoch: [9] [3360/5278] eta: 1:33:24 lr: 3.901475396510402e-05 loss: 0.1262 (0.1305) loss_seg: 0.1253 (0.1295) loss_lansim: 0.0807 (0.0832) loss_contra: 0.0049 (0.0188) time: 2.9309 data: 0.0059 max mem: 31630 Epoch: [9] [3370/5278] eta: 1:32:55 lr: 3.90125628977482e-05 loss: 0.1262 (0.1305) loss_seg: 0.1253 (0.1295) loss_lansim: 0.0809 (0.0832) loss_contra: 0.0055 (0.0188) time: 2.9262 data: 0.0059 max mem: 31630 Epoch: [9] [3380/5278] eta: 1:32:25 lr: 3.9010371816719274e-05 loss: 0.1224 (0.1305) loss_seg: 0.1217 (0.1295) loss_lansim: 0.0813 (0.0832) loss_contra: 0.0045 (0.0188) time: 2.9216 data: 0.0059 max mem: 31630 Epoch: [9] [3390/5278] eta: 1:31:56 lr: 3.900818072201631e-05 loss: 0.1198 (0.1305) loss_seg: 0.1189 (0.1295) loss_lansim: 0.0836 (0.0832) loss_contra: 0.0043 (0.0188) time: 2.9240 data: 0.0058 max mem: 31630 Epoch: [9] [3400/5278] eta: 1:31:27 lr: 3.9005989613638354e-05 loss: 0.1191 (0.1305) loss_seg: 0.1184 (0.1295) loss_lansim: 0.0841 (0.0833) loss_contra: 0.0033 (0.0187) time: 2.9227 data: 0.0058 max mem: 31630 Epoch: [9] [3410/5278] eta: 1:30:58 lr: 3.9003798491584484e-05 loss: 0.1164 (0.1306) loss_seg: 0.1155 (0.1296) loss_lansim: 0.0847 (0.0833) loss_contra: 0.0031 (0.0187) time: 2.9250 data: 0.0058 max mem: 31630 Epoch: [9] [3420/5278] eta: 1:30:29 lr: 3.900160735585375e-05 loss: 0.1156 (0.1305) loss_seg: 0.1147 (0.1295) loss_lansim: 0.0850 (0.0833) loss_contra: 0.0025 (0.0187) time: 2.9273 data: 0.0058 max mem: 31630 Epoch: [9] [3430/5278] eta: 1:29:59 lr: 3.8999416206445214e-05 loss: 0.1138 (0.1304) loss_seg: 0.1130 (0.1294) loss_lansim: 0.0851 (0.0833) loss_contra: 0.0026 (0.0186) time: 2.9278 data: 0.0058 max mem: 31630 Epoch: [9] [3440/5278] eta: 1:29:30 lr: 3.899722504335794e-05 loss: 0.1110 (0.1304) loss_seg: 0.1101 (0.1294) loss_lansim: 0.0836 (0.0833) loss_contra: 0.0026 (0.0186) time: 2.9287 data: 0.0058 max mem: 31630 Epoch: [9] [3450/5278] eta: 1:29:01 lr: 3.8995033866590984e-05 loss: 0.1121 (0.1304) loss_seg: 0.1111 (0.1294) loss_lansim: 0.0835 (0.0833) loss_contra: 0.0026 (0.0185) time: 2.9311 data: 0.0058 max mem: 31630 Epoch: [9] [3460/5278] eta: 1:28:32 lr: 3.899284267614342e-05 loss: 0.1135 (0.1304) loss_seg: 0.1119 (0.1294) loss_lansim: 0.0855 (0.0834) loss_contra: 0.0024 (0.0185) time: 2.9320 data: 0.0058 max mem: 31630 Epoch: [9] [3470/5278] eta: 1:28:03 lr: 3.899065147201429e-05 loss: 0.1148 (0.1304) loss_seg: 0.1140 (0.1294) loss_lansim: 0.0859 (0.0835) loss_contra: 0.0024 (0.0186) time: 2.9279 data: 0.0057 max mem: 31630 Epoch: [9] [3480/5278] eta: 1:27:34 lr: 3.8988460254202656e-05 loss: 0.1156 (0.1305) loss_seg: 0.1147 (0.1294) loss_lansim: 0.0887 (0.0836) loss_contra: 0.0025 (0.0186) time: 2.9336 data: 0.0057 max mem: 31630 Epoch: [9] [3490/5278] eta: 1:27:05 lr: 3.8986269022707596e-05 loss: 0.1140 (0.1304) loss_seg: 0.1127 (0.1294) loss_lansim: 0.0912 (0.0837) loss_contra: 0.0024 (0.0185) time: 2.9396 data: 0.0058 max mem: 31630 Epoch: [9] [3500/5278] eta: 1:26:36 lr: 3.898407777752815e-05 loss: 0.1138 (0.1304) loss_seg: 0.1126 (0.1294) loss_lansim: 0.0958 (0.0838) loss_contra: 0.0031 (0.0187) time: 2.9451 data: 0.0058 max mem: 31630 Epoch: [9] [3510/5278] eta: 1:26:06 lr: 3.898188651866339e-05 loss: 0.1129 (0.1303) loss_seg: 0.1118 (0.1293) loss_lansim: 0.1029 (0.0838) loss_contra: 0.0031 (0.0186) time: 2.9418 data: 0.0059 max mem: 31630 Epoch: [9] [3520/5278] eta: 1:25:37 lr: 3.897969524611238e-05 loss: 0.1129 (0.1303) loss_seg: 0.1118 (0.1293) loss_lansim: 0.1088 (0.0839) loss_contra: 0.0034 (0.0186) time: 2.9379 data: 0.0058 max mem: 31630 Epoch: [9] [3530/5278] eta: 1:25:08 lr: 3.8977503959874154e-05 loss: 0.1138 (0.1303) loss_seg: 0.1126 (0.1292) loss_lansim: 0.1147 (0.0840) loss_contra: 0.0034 (0.0187) time: 2.9348 data: 0.0058 max mem: 31630 Epoch: [9] [3540/5278] eta: 1:24:39 lr: 3.89753126599478e-05 loss: 0.1171 (0.1303) loss_seg: 0.1157 (0.1292) loss_lansim: 0.1161 (0.0841) loss_contra: 0.0034 (0.0186) time: 2.9377 data: 0.0058 max mem: 31630 Epoch: [9] [3550/5278] eta: 1:24:09 lr: 3.8973121346332364e-05 loss: 0.1164 (0.1303) loss_seg: 0.1151 (0.1293) loss_lansim: 0.1168 (0.0842) loss_contra: 0.0034 (0.0186) time: 2.9277 data: 0.0058 max mem: 31630 Epoch: [9] [3560/5278] eta: 1:23:40 lr: 3.8970930019026906e-05 loss: 0.1203 (0.1303) loss_seg: 0.1192 (0.1293) loss_lansim: 0.1161 (0.0843) loss_contra: 0.0033 (0.0185) time: 2.9325 data: 0.0058 max mem: 31630 Epoch: [9] [3570/5278] eta: 1:23:11 lr: 3.896873867803049e-05 loss: 0.1148 (0.1303) loss_seg: 0.1133 (0.1292) loss_lansim: 0.1161 (0.0844) loss_contra: 0.0026 (0.0185) time: 2.9351 data: 0.0058 max mem: 31630 Epoch: [9] [3580/5278] eta: 1:22:42 lr: 3.896654732334217e-05 loss: 0.1148 (0.1302) loss_seg: 0.1133 (0.1292) loss_lansim: 0.1168 (0.0845) loss_contra: 0.0025 (0.0185) time: 2.9268 data: 0.0058 max mem: 31630 Epoch: [9] [3590/5278] eta: 1:22:12 lr: 3.896435595496101e-05 loss: 0.1127 (0.1302) loss_seg: 0.1115 (0.1292) loss_lansim: 0.1165 (0.0846) loss_contra: 0.0021 (0.0184) time: 2.9234 data: 0.0057 max mem: 31630 Epoch: [9] [3600/5278] eta: 1:21:43 lr: 3.8962164572886064e-05 loss: 0.1127 (0.1302) loss_seg: 0.1115 (0.1292) loss_lansim: 0.1163 (0.0847) loss_contra: 0.0018 (0.0184) time: 2.9210 data: 0.0057 max mem: 31630 Epoch: [9] [3610/5278] eta: 1:21:14 lr: 3.895997317711639e-05 loss: 0.1174 (0.1303) loss_seg: 0.1159 (0.1293) loss_lansim: 0.1165 (0.0848) loss_contra: 0.0018 (0.0184) time: 2.9181 data: 0.0056 max mem: 31630 Epoch: [9] [3620/5278] eta: 1:20:45 lr: 3.8957781767651055e-05 loss: 0.1203 (0.1304) loss_seg: 0.1192 (0.1293) loss_lansim: 0.1158 (0.0849) loss_contra: 0.0018 (0.0183) time: 2.9177 data: 0.0057 max mem: 31630 Epoch: [9] [3630/5278] eta: 1:20:16 lr: 3.895559034448911e-05 loss: 0.1215 (0.1304) loss_seg: 0.1203 (0.1293) loss_lansim: 0.1154 (0.0850) loss_contra: 0.0016 (0.0183) time: 2.9210 data: 0.0057 max mem: 31630 Epoch: [9] [3640/5278] eta: 1:19:46 lr: 3.895339890762961e-05 loss: 0.1251 (0.1304) loss_seg: 0.1240 (0.1293) loss_lansim: 0.1142 (0.0850) loss_contra: 0.0016 (0.0182) time: 2.9183 data: 0.0057 max mem: 31630 Epoch: [9] [3650/5278] eta: 1:19:17 lr: 3.895120745707162e-05 loss: 0.1296 (0.1305) loss_seg: 0.1285 (0.1294) loss_lansim: 0.1149 (0.0851) loss_contra: 0.0017 (0.0183) time: 2.9236 data: 0.0057 max mem: 31630 Epoch: [9] [3660/5278] eta: 1:18:48 lr: 3.894901599281419e-05 loss: 0.1251 (0.1304) loss_seg: 0.1240 (0.1294) loss_lansim: 0.1150 (0.0852) loss_contra: 0.0018 (0.0183) time: 2.9172 data: 0.0057 max mem: 31630 Epoch: [9] [3670/5278] eta: 1:18:19 lr: 3.89468245148564e-05 loss: 0.1298 (0.1305) loss_seg: 0.1285 (0.1295) loss_lansim: 0.1150 (0.0853) loss_contra: 0.0020 (0.0182) time: 2.9225 data: 0.0057 max mem: 31630 Epoch: [9] [3680/5278] eta: 1:17:50 lr: 3.8944633023197275e-05 loss: 0.1298 (0.1305) loss_seg: 0.1285 (0.1295) loss_lansim: 0.1150 (0.0854) loss_contra: 0.0020 (0.0182) time: 2.9279 data: 0.0058 max mem: 31630 Epoch: [9] [3690/5278] eta: 1:17:20 lr: 3.894244151783589e-05 loss: 0.1296 (0.1305) loss_seg: 0.1285 (0.1295) loss_lansim: 0.1152 (0.0855) loss_contra: 0.0020 (0.0183) time: 2.9247 data: 0.0058 max mem: 31630 Epoch: [9] [3700/5278] eta: 1:16:51 lr: 3.894024999877131e-05 loss: 0.1296 (0.1305) loss_seg: 0.1285 (0.1295) loss_lansim: 0.1155 (0.0856) loss_contra: 0.0024 (0.0183) time: 2.9225 data: 0.0058 max mem: 31630 Epoch: [9] [3710/5278] eta: 1:16:22 lr: 3.893805846600257e-05 loss: 0.1280 (0.1305) loss_seg: 0.1265 (0.1295) loss_lansim: 0.1164 (0.0857) loss_contra: 0.0024 (0.0183) time: 2.9261 data: 0.0058 max mem: 31630 Epoch: [9] [3720/5278] eta: 1:15:53 lr: 3.8935866919528764e-05 loss: 0.1280 (0.1305) loss_seg: 0.1265 (0.1295) loss_lansim: 0.1195 (0.0859) loss_contra: 0.0027 (0.0182) time: 2.9300 data: 0.0058 max mem: 31630 Epoch: [9] [3730/5278] eta: 1:15:24 lr: 3.893367535934891e-05 loss: 0.1280 (0.1305) loss_seg: 0.1265 (0.1295) loss_lansim: 0.1213 (0.0860) loss_contra: 0.0027 (0.0182) time: 2.9268 data: 0.0058 max mem: 31630 Epoch: [9] [3740/5278] eta: 1:14:54 lr: 3.893148378546209e-05 loss: 0.1252 (0.1305) loss_seg: 0.1238 (0.1295) loss_lansim: 0.1218 (0.0861) loss_contra: 0.0024 (0.0182) time: 2.9227 data: 0.0058 max mem: 31630 Epoch: [9] [3750/5278] eta: 1:14:25 lr: 3.892929219786734e-05 loss: 0.1252 (0.1306) loss_seg: 0.1237 (0.1295) loss_lansim: 0.1224 (0.0862) loss_contra: 0.0027 (0.0182) time: 2.9258 data: 0.0058 max mem: 31630 Epoch: [9] [3760/5278] eta: 1:13:56 lr: 3.892710059656374e-05 loss: 0.1252 (0.1306) loss_seg: 0.1237 (0.1295) loss_lansim: 0.1228 (0.0863) loss_contra: 0.0020 (0.0182) time: 2.9302 data: 0.0058 max mem: 31630 Epoch: [9] [3770/5278] eta: 1:13:27 lr: 3.892490898155034e-05 loss: 0.1237 (0.1306) loss_seg: 0.1223 (0.1295) loss_lansim: 0.1242 (0.0864) loss_contra: 0.0017 (0.0182) time: 2.9273 data: 0.0058 max mem: 31630 Epoch: [9] [3780/5278] eta: 1:12:57 lr: 3.892271735282618e-05 loss: 0.1237 (0.1306) loss_seg: 0.1223 (0.1295) loss_lansim: 0.1286 (0.0866) loss_contra: 0.0017 (0.0181) time: 2.9211 data: 0.0058 max mem: 31630 Epoch: [9] [3790/5278] eta: 1:12:28 lr: 3.892052571039033e-05 loss: 0.1239 (0.1306) loss_seg: 0.1225 (0.1295) loss_lansim: 0.1304 (0.0867) loss_contra: 0.0020 (0.0181) time: 2.9240 data: 0.0058 max mem: 31630 Epoch: [9] [3800/5278] eta: 1:11:59 lr: 3.891833405424185e-05 loss: 0.1251 (0.1306) loss_seg: 0.1225 (0.1296) loss_lansim: 0.1298 (0.0868) loss_contra: 0.0020 (0.0181) time: 2.9262 data: 0.0058 max mem: 31630 Epoch: [9] [3810/5278] eta: 1:11:30 lr: 3.891614238437979e-05 loss: 0.1229 (0.1305) loss_seg: 0.1217 (0.1295) loss_lansim: 0.1298 (0.0869) loss_contra: 0.0023 (0.0181) time: 2.9240 data: 0.0058 max mem: 31630 Epoch: [9] [3820/5278] eta: 1:11:01 lr: 3.89139507008032e-05 loss: 0.1216 (0.1306) loss_seg: 0.1202 (0.1295) loss_lansim: 0.1276 (0.0870) loss_contra: 0.0020 (0.0181) time: 2.9234 data: 0.0058 max mem: 31630 Epoch: [9] [3830/5278] eta: 1:10:31 lr: 3.891175900351116e-05 loss: 0.1192 (0.1305) loss_seg: 0.1178 (0.1295) loss_lansim: 0.1228 (0.0870) loss_contra: 0.0023 (0.0180) time: 2.9254 data: 0.0058 max mem: 31630 Epoch: [9] [3840/5278] eta: 1:10:02 lr: 3.89095672925027e-05 loss: 0.1205 (0.1305) loss_seg: 0.1194 (0.1295) loss_lansim: 0.1212 (0.0871) loss_contra: 0.0020 (0.0180) time: 2.9288 data: 0.0058 max mem: 31630 Epoch: [9] [3850/5278] eta: 1:09:33 lr: 3.890737556777688e-05 loss: 0.1190 (0.1306) loss_seg: 0.1174 (0.1295) loss_lansim: 0.1194 (0.0871) loss_contra: 0.0017 (0.0180) time: 2.9240 data: 0.0058 max mem: 31630 Epoch: [9] [3860/5278] eta: 1:09:04 lr: 3.8905183829332766e-05 loss: 0.1190 (0.1305) loss_seg: 0.1174 (0.1295) loss_lansim: 0.1177 (0.0872) loss_contra: 0.0017 (0.0180) time: 2.9236 data: 0.0058 max mem: 31630 Epoch: [9] [3870/5278] eta: 1:08:35 lr: 3.8902992077169406e-05 loss: 0.1190 (0.1305) loss_seg: 0.1174 (0.1294) loss_lansim: 0.1159 (0.0872) loss_contra: 0.0020 (0.0180) time: 2.9227 data: 0.0058 max mem: 31630 Epoch: [9] [3880/5278] eta: 1:08:05 lr: 3.890080031128586e-05 loss: 0.1166 (0.1305) loss_seg: 0.1157 (0.1294) loss_lansim: 0.1115 (0.0873) loss_contra: 0.0017 (0.0180) time: 2.9225 data: 0.0059 max mem: 31630 Epoch: [9] [3890/5278] eta: 1:07:36 lr: 3.889860853168118e-05 loss: 0.1156 (0.1304) loss_seg: 0.1144 (0.1294) loss_lansim: 0.1105 (0.0874) loss_contra: 0.0016 (0.0179) time: 2.9248 data: 0.0059 max mem: 31630 Epoch: [9] [3900/5278] eta: 1:07:07 lr: 3.889641673835441e-05 loss: 0.1141 (0.1305) loss_seg: 0.1130 (0.1294) loss_lansim: 0.1105 (0.0874) loss_contra: 0.0015 (0.0179) time: 2.9222 data: 0.0059 max mem: 31630 Epoch: [9] [3910/5278] eta: 1:06:37 lr: 3.889422493130463e-05 loss: 0.1156 (0.1306) loss_seg: 0.1145 (0.1295) loss_lansim: 0.1097 (0.0875) loss_contra: 0.0015 (0.0179) time: 2.9228 data: 0.0058 max mem: 31630 Epoch: [9] [3920/5278] eta: 1:06:08 lr: 3.889203311053087e-05 loss: 0.1183 (0.1306) loss_seg: 0.1172 (0.1296) loss_lansim: 0.1086 (0.0876) loss_contra: 0.0014 (0.0179) time: 2.9260 data: 0.0058 max mem: 31630 Epoch: [9] [3930/5278] eta: 1:05:39 lr: 3.8889841276032215e-05 loss: 0.1234 (0.1307) loss_seg: 0.1223 (0.1296) loss_lansim: 0.1086 (0.0876) loss_contra: 0.0013 (0.0178) time: 2.9282 data: 0.0058 max mem: 31630 Epoch: [9] [3940/5278] eta: 1:05:10 lr: 3.888764942780768e-05 loss: 0.1234 (0.1307) loss_seg: 0.1223 (0.1297) loss_lansim: 0.1083 (0.0877) loss_contra: 0.0016 (0.0178) time: 2.9222 data: 0.0058 max mem: 31630 Epoch: [9] [3950/5278] eta: 1:04:41 lr: 3.888545756585635e-05 loss: 0.1236 (0.1309) loss_seg: 0.1225 (0.1299) loss_lansim: 0.1071 (0.0877) loss_contra: 0.0018 (0.0178) time: 2.9236 data: 0.0058 max mem: 31630 Epoch: [9] [3960/5278] eta: 1:04:11 lr: 3.888326569017727e-05 loss: 0.1316 (0.1310) loss_seg: 0.1304 (0.1299) loss_lansim: 0.1059 (0.0878) loss_contra: 0.0019 (0.0177) time: 2.9213 data: 0.0058 max mem: 31630 Epoch: [9] [3970/5278] eta: 1:03:42 lr: 3.888107380076949e-05 loss: 0.1336 (0.1310) loss_seg: 0.1325 (0.1300) loss_lansim: 0.1079 (0.0878) loss_contra: 0.0019 (0.0177) time: 2.9147 data: 0.0058 max mem: 31630 Epoch: [9] [3980/5278] eta: 1:03:13 lr: 3.8878881897632066e-05 loss: 0.1339 (0.1311) loss_seg: 0.1328 (0.1300) loss_lansim: 0.1088 (0.0879) loss_contra: 0.0021 (0.0177) time: 2.9229 data: 0.0057 max mem: 31630 Epoch: [9] [3990/5278] eta: 1:02:44 lr: 3.887668998076405e-05 loss: 0.1341 (0.1310) loss_seg: 0.1328 (0.1300) loss_lansim: 0.1084 (0.0879) loss_contra: 0.0023 (0.0177) time: 2.9198 data: 0.0057 max mem: 31630 Epoch: [9] [4000/5278] eta: 1:02:14 lr: 3.88744980501645e-05 loss: 0.1336 (0.1310) loss_seg: 0.1325 (0.1299) loss_lansim: 0.1079 (0.0880) loss_contra: 0.0020 (0.0176) time: 2.9146 data: 0.0057 max mem: 31630 Epoch: [9] [4010/5278] eta: 1:01:45 lr: 3.887230610583247e-05 loss: 0.1336 (0.1310) loss_seg: 0.1325 (0.1300) loss_lansim: 0.1079 (0.0880) loss_contra: 0.0022 (0.0176) time: 2.9208 data: 0.0057 max mem: 31630 Epoch: [9] [4020/5278] eta: 1:01:16 lr: 3.8870114147767016e-05 loss: 0.1290 (0.1310) loss_seg: 0.1277 (0.1299) loss_lansim: 0.1066 (0.0881) loss_contra: 0.0023 (0.0176) time: 2.9202 data: 0.0057 max mem: 31630 Epoch: [9] [4030/5278] eta: 1:00:47 lr: 3.8867922175967186e-05 loss: 0.1237 (0.1309) loss_seg: 0.1228 (0.1299) loss_lansim: 0.1059 (0.0881) loss_contra: 0.0024 (0.0175) time: 2.9145 data: 0.0057 max mem: 31630 Epoch: [9] [4040/5278] eta: 1:00:17 lr: 3.886573019043204e-05 loss: 0.1237 (0.1310) loss_seg: 0.1228 (0.1299) loss_lansim: 0.1057 (0.0882) loss_contra: 0.0024 (0.0175) time: 2.9176 data: 0.0057 max mem: 31630 Epoch: [9] [4050/5278] eta: 0:59:48 lr: 3.886353819116062e-05 loss: 0.1204 (0.1309) loss_seg: 0.1190 (0.1299) loss_lansim: 0.1081 (0.0883) loss_contra: 0.0022 (0.0175) time: 2.9196 data: 0.0057 max mem: 31630 Epoch: [9] [4060/5278] eta: 0:59:19 lr: 3.886134617815198e-05 loss: 0.1175 (0.1309) loss_seg: 0.1160 (0.1299) loss_lansim: 0.1102 (0.0884) loss_contra: 0.0023 (0.0175) time: 2.9192 data: 0.0058 max mem: 31630 Epoch: [9] [4070/5278] eta: 0:58:50 lr: 3.8859154151405184e-05 loss: 0.1166 (0.1310) loss_seg: 0.1150 (0.1300) loss_lansim: 0.1105 (0.0885) loss_contra: 0.0024 (0.0175) time: 2.9240 data: 0.0058 max mem: 31630 Epoch: [9] [4080/5278] eta: 0:58:20 lr: 3.885696211091928e-05 loss: 0.1175 (0.1310) loss_seg: 0.1151 (0.1300) loss_lansim: 0.1106 (0.0885) loss_contra: 0.0029 (0.0175) time: 2.9162 data: 0.0059 max mem: 31630 Epoch: [9] [4090/5278] eta: 0:57:51 lr: 3.885477005669332e-05 loss: 0.1210 (0.1311) loss_seg: 0.1202 (0.1300) loss_lansim: 0.1112 (0.0886) loss_contra: 0.0025 (0.0174) time: 2.9140 data: 0.0059 max mem: 31630 Epoch: [9] [4100/5278] eta: 0:57:22 lr: 3.885257798872636e-05 loss: 0.1210 (0.1310) loss_seg: 0.1202 (0.1299) loss_lansim: 0.1131 (0.0887) loss_contra: 0.0026 (0.0174) time: 2.9189 data: 0.0059 max mem: 31630 Epoch: [9] [4110/5278] eta: 0:56:53 lr: 3.885038590701744e-05 loss: 0.1195 (0.1311) loss_seg: 0.1186 (0.1300) loss_lansim: 0.1135 (0.0888) loss_contra: 0.0029 (0.0174) time: 2.9158 data: 0.0060 max mem: 31630 Epoch: [9] [4120/5278] eta: 0:56:23 lr: 3.8848193811565624e-05 loss: 0.1190 (0.1311) loss_seg: 0.1174 (0.1300) loss_lansim: 0.1147 (0.0889) loss_contra: 0.0029 (0.0174) time: 2.9035 data: 0.0060 max mem: 31630 Epoch: [9] [4130/5278] eta: 0:55:54 lr: 3.884600170236996e-05 loss: 0.1207 (0.1311) loss_seg: 0.1195 (0.1300) loss_lansim: 0.1212 (0.0889) loss_contra: 0.0035 (0.0174) time: 2.8994 data: 0.0061 max mem: 31630 Epoch: [9] [4140/5278] eta: 0:55:25 lr: 3.884380957942951e-05 loss: 0.1218 (0.1311) loss_seg: 0.1201 (0.1300) loss_lansim: 0.1212 (0.0890) loss_contra: 0.0036 (0.0174) time: 2.9033 data: 0.0061 max mem: 31630 Epoch: [9] [4150/5278] eta: 0:54:55 lr: 3.8841617442743306e-05 loss: 0.1218 (0.1311) loss_seg: 0.1201 (0.1300) loss_lansim: 0.1175 (0.0891) loss_contra: 0.0037 (0.0175) time: 2.8949 data: 0.0062 max mem: 31630 Epoch: [9] [4160/5278] eta: 0:54:26 lr: 3.8839425292310414e-05 loss: 0.1207 (0.1310) loss_seg: 0.1195 (0.1300) loss_lansim: 0.1147 (0.0891) loss_contra: 0.0043 (0.0175) time: 2.8895 data: 0.0062 max mem: 31630 Epoch: [9] [4170/5278] eta: 0:53:57 lr: 3.883723312812989e-05 loss: 0.1201 (0.1311) loss_seg: 0.1188 (0.1300) loss_lansim: 0.1143 (0.0892) loss_contra: 0.0043 (0.0176) time: 2.8931 data: 0.0062 max mem: 31630 Epoch: [9] [4180/5278] eta: 0:53:28 lr: 3.8835040950200774e-05 loss: 0.1218 (0.1311) loss_seg: 0.1201 (0.1301) loss_lansim: 0.1145 (0.0892) loss_contra: 0.0044 (0.0176) time: 2.9003 data: 0.0061 max mem: 31630 Epoch: [9] [4190/5278] eta: 0:52:58 lr: 3.8832848758522114e-05 loss: 0.1207 (0.1312) loss_seg: 0.1195 (0.1301) loss_lansim: 0.1145 (0.0893) loss_contra: 0.0050 (0.0176) time: 2.8990 data: 0.0062 max mem: 31630 Epoch: [9] [4200/5278] eta: 0:52:29 lr: 3.883065655309298e-05 loss: 0.1218 (0.1312) loss_seg: 0.1201 (0.1301) loss_lansim: 0.1145 (0.0894) loss_contra: 0.0077 (0.0176) time: 2.8994 data: 0.0061 max mem: 31630 Epoch: [9] [4210/5278] eta: 0:52:00 lr: 3.8828464333912406e-05 loss: 0.1243 (0.1312) loss_seg: 0.1215 (0.1301) loss_lansim: 0.1159 (0.0895) loss_contra: 0.0057 (0.0176) time: 2.8977 data: 0.0062 max mem: 31630 Epoch: [9] [4220/5278] eta: 0:51:31 lr: 3.8826272100979454e-05 loss: 0.1283 (0.1312) loss_seg: 0.1273 (0.1301) loss_lansim: 0.1159 (0.0896) loss_contra: 0.0057 (0.0176) time: 2.9023 data: 0.0062 max mem: 31630 Epoch: [9] [4230/5278] eta: 0:51:01 lr: 3.882407985429317e-05 loss: 0.1289 (0.1311) loss_seg: 0.1274 (0.1301) loss_lansim: 0.1163 (0.0896) loss_contra: 0.0049 (0.0176) time: 2.9111 data: 0.0061 max mem: 31630 Epoch: [9] [4240/5278] eta: 0:50:32 lr: 3.88218875938526e-05 loss: 0.1283 (0.1311) loss_seg: 0.1273 (0.1300) loss_lansim: 0.1182 (0.0897) loss_contra: 0.0043 (0.0175) time: 2.9083 data: 0.0061 max mem: 31630 Epoch: [9] [4250/5278] eta: 0:50:03 lr: 3.881969531965681e-05 loss: 0.1289 (0.1311) loss_seg: 0.1274 (0.1301) loss_lansim: 0.1192 (0.0898) loss_contra: 0.0037 (0.0175) time: 2.9118 data: 0.0062 max mem: 31630 Epoch: [9] [4260/5278] eta: 0:49:34 lr: 3.881750303170483e-05 loss: 0.1287 (0.1310) loss_seg: 0.1273 (0.1300) loss_lansim: 0.1187 (0.0899) loss_contra: 0.0033 (0.0175) time: 2.9170 data: 0.0062 max mem: 31630 Epoch: [9] [4270/5278] eta: 0:49:04 lr: 3.881531072999572e-05 loss: 0.1287 (0.1311) loss_seg: 0.1273 (0.1300) loss_lansim: 0.1217 (0.0899) loss_contra: 0.0032 (0.0175) time: 2.9102 data: 0.0062 max mem: 31630 Epoch: [9] [4280/5278] eta: 0:48:35 lr: 3.881311841452854e-05 loss: 0.1243 (0.1311) loss_seg: 0.1215 (0.1301) loss_lansim: 0.1228 (0.0900) loss_contra: 0.0026 (0.0175) time: 2.9092 data: 0.0062 max mem: 31630 Epoch: [9] [4290/5278] eta: 0:48:06 lr: 3.8810926085302326e-05 loss: 0.1206 (0.1311) loss_seg: 0.1191 (0.1300) loss_lansim: 0.1228 (0.0901) loss_contra: 0.0026 (0.0175) time: 2.9174 data: 0.0063 max mem: 31630 Epoch: [9] [4300/5278] eta: 0:47:37 lr: 3.880873374231613e-05 loss: 0.1259 (0.1312) loss_seg: 0.1243 (0.1301) loss_lansim: 0.1243 (0.0902) loss_contra: 0.0024 (0.0174) time: 2.9178 data: 0.0064 max mem: 31630 Epoch: [9] [4310/5278] eta: 0:47:08 lr: 3.880654138556901e-05 loss: 0.1247 (0.1312) loss_seg: 0.1233 (0.1301) loss_lansim: 0.1231 (0.0903) loss_contra: 0.0024 (0.0174) time: 2.9137 data: 0.0063 max mem: 31630 Epoch: [9] [4320/5278] eta: 0:46:38 lr: 3.8804349015060006e-05 loss: 0.1247 (0.1312) loss_seg: 0.1233 (0.1301) loss_lansim: 0.1233 (0.0903) loss_contra: 0.0025 (0.0174) time: 2.9221 data: 0.0064 max mem: 31630 Epoch: [9] [4330/5278] eta: 0:46:09 lr: 3.8802156630788186e-05 loss: 0.1239 (0.1311) loss_seg: 0.1227 (0.1301) loss_lansim: 0.1243 (0.0904) loss_contra: 0.0032 (0.0174) time: 2.9223 data: 0.0065 max mem: 31630 Epoch: [9] [4340/5278] eta: 0:45:40 lr: 3.8799964232752575e-05 loss: 0.1239 (0.1311) loss_seg: 0.1227 (0.1300) loss_lansim: 0.1231 (0.0905) loss_contra: 0.0027 (0.0174) time: 2.9221 data: 0.0065 max mem: 31630 Epoch: [9] [4350/5278] eta: 0:45:11 lr: 3.879777182095224e-05 loss: 0.1243 (0.1311) loss_seg: 0.1232 (0.1301) loss_lansim: 0.1247 (0.0906) loss_contra: 0.0032 (0.0173) time: 2.9254 data: 0.0065 max mem: 31630 Epoch: [9] [4360/5278] eta: 0:44:42 lr: 3.879557939538622e-05 loss: 0.1258 (0.1311) loss_seg: 0.1243 (0.1301) loss_lansim: 0.1257 (0.0906) loss_contra: 0.0032 (0.0173) time: 2.9307 data: 0.0064 max mem: 31630 Epoch: [9] [4370/5278] eta: 0:44:13 lr: 3.879338695605357e-05 loss: 0.1258 (0.1312) loss_seg: 0.1243 (0.1301) loss_lansim: 0.1232 (0.0907) loss_contra: 0.0032 (0.0173) time: 2.9398 data: 0.0065 max mem: 31630 Epoch: [9] [4380/5278] eta: 0:43:43 lr: 3.879119450295334e-05 loss: 0.1258 (0.1312) loss_seg: 0.1246 (0.1301) loss_lansim: 0.1232 (0.0908) loss_contra: 0.0021 (0.0173) time: 2.9337 data: 0.0064 max mem: 31630 Epoch: [9] [4390/5278] eta: 0:43:14 lr: 3.878900203608457e-05 loss: 0.1288 (0.1312) loss_seg: 0.1275 (0.1301) loss_lansim: 0.1223 (0.0908) loss_contra: 0.0016 (0.0172) time: 2.9297 data: 0.0063 max mem: 31630 Epoch: [9] [4400/5278] eta: 0:42:45 lr: 3.878680955544632e-05 loss: 0.1288 (0.1312) loss_seg: 0.1275 (0.1301) loss_lansim: 0.1208 (0.0909) loss_contra: 0.0014 (0.0172) time: 2.9312 data: 0.0064 max mem: 31630 Epoch: [9] [4410/5278] eta: 0:42:16 lr: 3.878461706103763e-05 loss: 0.1288 (0.1312) loss_seg: 0.1276 (0.1301) loss_lansim: 0.1197 (0.0909) loss_contra: 0.0013 (0.0172) time: 2.9322 data: 0.0064 max mem: 31630 Epoch: [9] [4420/5278] eta: 0:41:46 lr: 3.8782424552857546e-05 loss: 0.1270 (0.1312) loss_seg: 0.1258 (0.1301) loss_lansim: 0.1179 (0.0910) loss_contra: 0.0013 (0.0172) time: 2.9281 data: 0.0065 max mem: 31630 Epoch: [9] [4430/5278] eta: 0:41:17 lr: 3.878023203090514e-05 loss: 0.1266 (0.1312) loss_seg: 0.1257 (0.1301) loss_lansim: 0.1149 (0.0910) loss_contra: 0.0016 (0.0172) time: 2.9254 data: 0.0063 max mem: 31630 Epoch: [9] [4440/5278] eta: 0:40:48 lr: 3.877803949517944e-05 loss: 0.1267 (0.1311) loss_seg: 0.1257 (0.1301) loss_lansim: 0.1120 (0.0910) loss_contra: 0.0025 (0.0172) time: 2.9231 data: 0.0063 max mem: 31630 Epoch: [9] [4450/5278] eta: 0:40:19 lr: 3.877584694567948e-05 loss: 0.1258 (0.1311) loss_seg: 0.1246 (0.1300) loss_lansim: 0.1079 (0.0909) loss_contra: 0.0026 (0.0171) time: 2.9248 data: 0.0062 max mem: 31630 Epoch: [9] [4460/5278] eta: 0:39:50 lr: 3.8773654382404346e-05 loss: 0.1267 (0.1311) loss_seg: 0.1257 (0.1300) loss_lansim: 0.1029 (0.0909) loss_contra: 0.0028 (0.0172) time: 2.9205 data: 0.0063 max mem: 31630 Epoch: [9] [4470/5278] eta: 0:39:20 lr: 3.877146180535305e-05 loss: 0.1267 (0.1312) loss_seg: 0.1257 (0.1301) loss_lansim: 0.0978 (0.0909) loss_contra: 0.0030 (0.0171) time: 2.9202 data: 0.0064 max mem: 31630 Epoch: [9] [4480/5278] eta: 0:38:51 lr: 3.876926921452467e-05 loss: 0.1288 (0.1313) loss_seg: 0.1267 (0.1302) loss_lansim: 0.0930 (0.0909) loss_contra: 0.0035 (0.0171) time: 2.9201 data: 0.0065 max mem: 31630 Epoch: [9] [4490/5278] eta: 0:38:22 lr: 3.876707660991823e-05 loss: 0.1290 (0.1313) loss_seg: 0.1276 (0.1302) loss_lansim: 0.0916 (0.0909) loss_contra: 0.0043 (0.0172) time: 2.9208 data: 0.0066 max mem: 31630 Epoch: [9] [4500/5278] eta: 0:37:53 lr: 3.876488399153278e-05 loss: 0.1270 (0.1313) loss_seg: 0.1258 (0.1303) loss_lansim: 0.0887 (0.0909) loss_contra: 0.0047 (0.0172) time: 2.9205 data: 0.0066 max mem: 31630 Epoch: [9] [4510/5278] eta: 0:37:23 lr: 3.8762691359367385e-05 loss: 0.1245 (0.1313) loss_seg: 0.1237 (0.1302) loss_lansim: 0.0860 (0.0909) loss_contra: 0.0047 (0.0172) time: 2.9244 data: 0.0066 max mem: 31630 Epoch: [9] [4520/5278] eta: 0:36:54 lr: 3.876049871342108e-05 loss: 0.1244 (0.1313) loss_seg: 0.1233 (0.1302) loss_lansim: 0.0855 (0.0909) loss_contra: 0.0049 (0.0172) time: 2.9240 data: 0.0067 max mem: 31630 Epoch: [9] [4530/5278] eta: 0:36:25 lr: 3.875830605369291e-05 loss: 0.1225 (0.1313) loss_seg: 0.1217 (0.1302) loss_lansim: 0.0852 (0.0909) loss_contra: 0.0047 (0.0172) time: 2.9251 data: 0.0068 max mem: 31630 Epoch: [9] [4540/5278] eta: 0:35:56 lr: 3.875611338018193e-05 loss: 0.1153 (0.1313) loss_seg: 0.1139 (0.1302) loss_lansim: 0.0852 (0.0909) loss_contra: 0.0047 (0.0172) time: 2.9306 data: 0.0068 max mem: 31630 Epoch: [9] [4550/5278] eta: 0:35:27 lr: 3.875392069288718e-05 loss: 0.1235 (0.1313) loss_seg: 0.1223 (0.1302) loss_lansim: 0.0844 (0.0908) loss_contra: 0.0046 (0.0171) time: 2.9314 data: 0.0069 max mem: 31630 Epoch: [9] [4560/5278] eta: 0:34:58 lr: 3.875172799180771e-05 loss: 0.1244 (0.1313) loss_seg: 0.1233 (0.1302) loss_lansim: 0.0844 (0.0908) loss_contra: 0.0044 (0.0172) time: 2.9326 data: 0.0069 max mem: 31630 Epoch: [9] [4570/5278] eta: 0:34:28 lr: 3.874953527694256e-05 loss: 0.1244 (0.1314) loss_seg: 0.1233 (0.1303) loss_lansim: 0.0844 (0.0908) loss_contra: 0.0041 (0.0171) time: 2.9303 data: 0.0069 max mem: 31630 Epoch: [9] [4580/5278] eta: 0:33:59 lr: 3.8747342548290785e-05 loss: 0.1178 (0.1313) loss_seg: 0.1169 (0.1303) loss_lansim: 0.0837 (0.0908) loss_contra: 0.0039 (0.0171) time: 2.9400 data: 0.0068 max mem: 31630 Epoch: [9] [4590/5278] eta: 0:33:30 lr: 3.8745149805851435e-05 loss: 0.1219 (0.1314) loss_seg: 0.1206 (0.1303) loss_lansim: 0.0831 (0.0908) loss_contra: 0.0039 (0.0171) time: 2.9417 data: 0.0067 max mem: 31630 Epoch: [9] [4600/5278] eta: 0:33:01 lr: 3.874295704962354e-05 loss: 0.1171 (0.1314) loss_seg: 0.1162 (0.1303) loss_lansim: 0.0830 (0.0907) loss_contra: 0.0033 (0.0171) time: 2.9392 data: 0.0067 max mem: 31630 Epoch: [9] [4610/5278] eta: 0:32:32 lr: 3.874076427960616e-05 loss: 0.1178 (0.1314) loss_seg: 0.1169 (0.1303) loss_lansim: 0.0822 (0.0907) loss_contra: 0.0033 (0.0171) time: 2.9387 data: 0.0066 max mem: 31630 Epoch: [9] [4620/5278] eta: 0:32:02 lr: 3.8738571495798345e-05 loss: 0.1178 (0.1314) loss_seg: 0.1169 (0.1303) loss_lansim: 0.0805 (0.0907) loss_contra: 0.0028 (0.0171) time: 2.9428 data: 0.0065 max mem: 31630 Epoch: [9] [4630/5278] eta: 0:31:33 lr: 3.8736378698199125e-05 loss: 0.1249 (0.1314) loss_seg: 0.1242 (0.1303) loss_lansim: 0.0800 (0.0907) loss_contra: 0.0028 (0.0171) time: 2.9444 data: 0.0065 max mem: 31630 Epoch: [9] [4640/5278] eta: 0:31:04 lr: 3.873418588680755e-05 loss: 0.1257 (0.1313) loss_seg: 0.1246 (0.1303) loss_lansim: 0.0783 (0.0906) loss_contra: 0.0019 (0.0170) time: 2.9405 data: 0.0065 max mem: 31630 Epoch: [9] [4650/5278] eta: 0:30:35 lr: 3.873199306162268e-05 loss: 0.1249 (0.1314) loss_seg: 0.1242 (0.1303) loss_lansim: 0.0784 (0.0906) loss_contra: 0.0015 (0.0170) time: 2.9378 data: 0.0065 max mem: 31630 Epoch: [9] [4660/5278] eta: 0:30:06 lr: 3.872980022264355e-05 loss: 0.1209 (0.1313) loss_seg: 0.1202 (0.1303) loss_lansim: 0.0783 (0.0906) loss_contra: 0.0019 (0.0170) time: 2.9385 data: 0.0064 max mem: 31630 Epoch: [9] [4670/5278] eta: 0:29:36 lr: 3.87276073698692e-05 loss: 0.1191 (0.1313) loss_seg: 0.1184 (0.1303) loss_lansim: 0.0768 (0.0905) loss_contra: 0.0021 (0.0170) time: 2.9311 data: 0.0064 max mem: 31630 Epoch: [9] [4680/5278] eta: 0:29:07 lr: 3.872541450329868e-05 loss: 0.1224 (0.1314) loss_seg: 0.1214 (0.1303) loss_lansim: 0.0764 (0.0905) loss_contra: 0.0025 (0.0170) time: 2.9255 data: 0.0064 max mem: 31630 Epoch: [9] [4690/5278] eta: 0:28:38 lr: 3.872322162293104e-05 loss: 0.1224 (0.1314) loss_seg: 0.1214 (0.1303) loss_lansim: 0.0761 (0.0905) loss_contra: 0.0025 (0.0170) time: 2.9258 data: 0.0063 max mem: 31630 Epoch: [9] [4700/5278] eta: 0:28:09 lr: 3.872102872876532e-05 loss: 0.1237 (0.1314) loss_seg: 0.1230 (0.1303) loss_lansim: 0.0771 (0.0905) loss_contra: 0.0025 (0.0170) time: 2.9283 data: 0.0063 max mem: 31630 Epoch: [9] [4710/5278] eta: 0:27:39 lr: 3.871883582080057e-05 loss: 0.1274 (0.1314) loss_seg: 0.1267 (0.1303) loss_lansim: 0.0764 (0.0904) loss_contra: 0.0022 (0.0169) time: 2.9250 data: 0.0063 max mem: 31630 Epoch: [9] [4720/5278] eta: 0:27:10 lr: 3.8716642899035826e-05 loss: 0.1295 (0.1314) loss_seg: 0.1287 (0.1303) loss_lansim: 0.0773 (0.0904) loss_contra: 0.0025 (0.0169) time: 2.9229 data: 0.0063 max mem: 31630 Epoch: [9] [4730/5278] eta: 0:26:41 lr: 3.871444996347014e-05 loss: 0.1284 (0.1314) loss_seg: 0.1273 (0.1303) loss_lansim: 0.0777 (0.0904) loss_contra: 0.0021 (0.0169) time: 2.9188 data: 0.0063 max mem: 31630 Epoch: [9] [4740/5278] eta: 0:26:12 lr: 3.871225701410256e-05 loss: 0.1301 (0.1314) loss_seg: 0.1292 (0.1304) loss_lansim: 0.0777 (0.0904) loss_contra: 0.0027 (0.0169) time: 2.9185 data: 0.0062 max mem: 31630 Epoch: [9] [4750/5278] eta: 0:25:42 lr: 3.8710064050932114e-05 loss: 0.1307 (0.1315) loss_seg: 0.1296 (0.1304) loss_lansim: 0.0773 (0.0903) loss_contra: 0.0027 (0.0169) time: 2.9220 data: 0.0062 max mem: 31630 Epoch: [9] [4760/5278] eta: 0:25:13 lr: 3.870787107395786e-05 loss: 0.1307 (0.1315) loss_seg: 0.1296 (0.1304) loss_lansim: 0.0773 (0.0903) loss_contra: 0.0024 (0.0169) time: 2.9227 data: 0.0061 max mem: 31630 Epoch: [9] [4770/5278] eta: 0:24:44 lr: 3.8705678083178836e-05 loss: 0.1307 (0.1314) loss_seg: 0.1296 (0.1304) loss_lansim: 0.0777 (0.0903) loss_contra: 0.0024 (0.0169) time: 2.9253 data: 0.0062 max mem: 31630 Epoch: [9] [4780/5278] eta: 0:24:15 lr: 3.870348507859409e-05 loss: 0.1319 (0.1315) loss_seg: 0.1311 (0.1304) loss_lansim: 0.0771 (0.0903) loss_contra: 0.0024 (0.0168) time: 2.9270 data: 0.0061 max mem: 31630 Epoch: [9] [4790/5278] eta: 0:23:46 lr: 3.870129206020267e-05 loss: 0.1296 (0.1315) loss_seg: 0.1287 (0.1304) loss_lansim: 0.0776 (0.0902) loss_contra: 0.0023 (0.0168) time: 2.9265 data: 0.0061 max mem: 31630 Epoch: [9] [4800/5278] eta: 0:23:16 lr: 3.8699099028003615e-05 loss: 0.1274 (0.1315) loss_seg: 0.1267 (0.1304) loss_lansim: 0.0771 (0.0902) loss_contra: 0.0021 (0.0168) time: 2.9230 data: 0.0062 max mem: 31630 Epoch: [9] [4810/5278] eta: 0:22:47 lr: 3.8696905981995964e-05 loss: 0.1237 (0.1315) loss_seg: 0.1229 (0.1304) loss_lansim: 0.0771 (0.0902) loss_contra: 0.0022 (0.0168) time: 2.9256 data: 0.0062 max mem: 31630 Epoch: [9] [4820/5278] eta: 0:22:18 lr: 3.869471292217877e-05 loss: 0.1237 (0.1315) loss_seg: 0.1229 (0.1304) loss_lansim: 0.0776 (0.0902) loss_contra: 0.0022 (0.0168) time: 2.9288 data: 0.0061 max mem: 31630 Epoch: [9] [4830/5278] eta: 0:21:49 lr: 3.869251984855107e-05 loss: 0.1234 (0.1315) loss_seg: 0.1228 (0.1304) loss_lansim: 0.0773 (0.0901) loss_contra: 0.0024 (0.0168) time: 2.9271 data: 0.0061 max mem: 31630 Epoch: [9] [4840/5278] eta: 0:21:19 lr: 3.869032676111189e-05 loss: 0.1206 (0.1314) loss_seg: 0.1190 (0.1304) loss_lansim: 0.0773 (0.0901) loss_contra: 0.0023 (0.0169) time: 2.9248 data: 0.0062 max mem: 31630 Epoch: [9] [4850/5278] eta: 0:20:50 lr: 3.868813365986031e-05 loss: 0.1192 (0.1315) loss_seg: 0.1181 (0.1304) loss_lansim: 0.0773 (0.0901) loss_contra: 0.0024 (0.0169) time: 2.9268 data: 0.0062 max mem: 31630 Epoch: [9] [4860/5278] eta: 0:20:21 lr: 3.868594054479536e-05 loss: 0.1192 (0.1315) loss_seg: 0.1181 (0.1304) loss_lansim: 0.0773 (0.0901) loss_contra: 0.0030 (0.0170) time: 2.9280 data: 0.0061 max mem: 31630 Epoch: [9] [4870/5278] eta: 0:19:52 lr: 3.8683747415916066e-05 loss: 0.1231 (0.1315) loss_seg: 0.1223 (0.1304) loss_lansim: 0.0770 (0.0900) loss_contra: 0.0030 (0.0170) time: 2.9279 data: 0.0061 max mem: 31630 Epoch: [9] [4880/5278] eta: 0:19:23 lr: 3.8681554273221495e-05 loss: 0.1208 (0.1315) loss_seg: 0.1185 (0.1304) loss_lansim: 0.0773 (0.0900) loss_contra: 0.0031 (0.0170) time: 2.9239 data: 0.0061 max mem: 31630 Epoch: [9] [4890/5278] eta: 0:18:53 lr: 3.867936111671066e-05 loss: 0.1229 (0.1315) loss_seg: 0.1200 (0.1304) loss_lansim: 0.0767 (0.0900) loss_contra: 0.0042 (0.0170) time: 2.9260 data: 0.0061 max mem: 31630 Epoch: [9] [4900/5278] eta: 0:18:24 lr: 3.8677167946382634e-05 loss: 0.1229 (0.1315) loss_seg: 0.1200 (0.1304) loss_lansim: 0.0767 (0.0899) loss_contra: 0.0048 (0.0170) time: 2.9230 data: 0.0060 max mem: 31630 Epoch: [9] [4910/5278] eta: 0:17:55 lr: 3.867497476223644e-05 loss: 0.1252 (0.1316) loss_seg: 0.1242 (0.1305) loss_lansim: 0.0767 (0.0899) loss_contra: 0.0060 (0.0172) time: 2.9257 data: 0.0060 max mem: 31630 Epoch: [9] [4920/5278] eta: 0:17:26 lr: 3.867278156427112e-05 loss: 0.1252 (0.1316) loss_seg: 0.1242 (0.1305) loss_lansim: 0.0765 (0.0899) loss_contra: 0.0060 (0.0171) time: 2.9206 data: 0.0061 max mem: 31630 Epoch: [9] [4930/5278] eta: 0:16:56 lr: 3.867058835248573e-05 loss: 0.1274 (0.1316) loss_seg: 0.1265 (0.1306) loss_lansim: 0.0765 (0.0899) loss_contra: 0.0048 (0.0171) time: 2.9192 data: 0.0061 max mem: 31630 Epoch: [9] [4940/5278] eta: 0:16:27 lr: 3.8668395126879305e-05 loss: 0.1356 (0.1317) loss_seg: 0.1339 (0.1306) loss_lansim: 0.0766 (0.0898) loss_contra: 0.0049 (0.0172) time: 2.9229 data: 0.0061 max mem: 31630 Epoch: [9] [4950/5278] eta: 0:15:58 lr: 3.866620188745088e-05 loss: 0.1335 (0.1317) loss_seg: 0.1298 (0.1306) loss_lansim: 0.0772 (0.0898) loss_contra: 0.0048 (0.0172) time: 2.9223 data: 0.0061 max mem: 31630 Epoch: [9] [4960/5278] eta: 0:15:29 lr: 3.866400863419952e-05 loss: 0.1362 (0.1317) loss_seg: 0.1353 (0.1307) loss_lansim: 0.0773 (0.0898) loss_contra: 0.0038 (0.0171) time: 2.9150 data: 0.0062 max mem: 31630 Epoch: [9] [4970/5278] eta: 0:15:00 lr: 3.866181536712423e-05 loss: 0.1361 (0.1317) loss_seg: 0.1350 (0.1306) loss_lansim: 0.0781 (0.0898) loss_contra: 0.0029 (0.0171) time: 2.9159 data: 0.0062 max mem: 31630 Epoch: [9] [4980/5278] eta: 0:14:30 lr: 3.8659622086224076e-05 loss: 0.1303 (0.1317) loss_seg: 0.1285 (0.1306) loss_lansim: 0.0778 (0.0898) loss_contra: 0.0029 (0.0171) time: 2.9220 data: 0.0062 max mem: 31630 Epoch: [9] [4990/5278] eta: 0:14:01 lr: 3.8657428791498096e-05 loss: 0.1328 (0.1316) loss_seg: 0.1293 (0.1306) loss_lansim: 0.0781 (0.0897) loss_contra: 0.0023 (0.0171) time: 2.9188 data: 0.0063 max mem: 31630 Epoch: [9] [5000/5278] eta: 0:13:32 lr: 3.8655235482945326e-05 loss: 0.1303 (0.1316) loss_seg: 0.1285 (0.1306) loss_lansim: 0.0781 (0.0897) loss_contra: 0.0022 (0.0170) time: 2.9209 data: 0.0063 max mem: 31630 Epoch: [9] [5010/5278] eta: 0:13:03 lr: 3.865304216056482e-05 loss: 0.1279 (0.1316) loss_seg: 0.1270 (0.1306) loss_lansim: 0.0783 (0.0897) loss_contra: 0.0017 (0.0170) time: 2.9202 data: 0.0062 max mem: 31630 Epoch: [9] [5020/5278] eta: 0:12:33 lr: 3.86508488243556e-05 loss: 0.1243 (0.1316) loss_seg: 0.1235 (0.1305) loss_lansim: 0.0781 (0.0897) loss_contra: 0.0015 (0.0170) time: 2.9222 data: 0.0061 max mem: 31630 Epoch: [9] [5030/5278] eta: 0:12:04 lr: 3.8648655474316724e-05 loss: 0.1218 (0.1315) loss_seg: 0.1212 (0.1305) loss_lansim: 0.0785 (0.0897) loss_contra: 0.0012 (0.0170) time: 2.9228 data: 0.0062 max mem: 31630 Epoch: [9] [5040/5278] eta: 0:11:35 lr: 3.864646211044722e-05 loss: 0.1169 (0.1315) loss_seg: 0.1160 (0.1304) loss_lansim: 0.0780 (0.0896) loss_contra: 0.0012 (0.0170) time: 2.9253 data: 0.0063 max mem: 31630 Epoch: [9] [5050/5278] eta: 0:11:06 lr: 3.8644268732746144e-05 loss: 0.1169 (0.1315) loss_seg: 0.1160 (0.1304) loss_lansim: 0.0781 (0.0896) loss_contra: 0.0011 (0.0169) time: 2.9235 data: 0.0064 max mem: 31630 Epoch: [9] [5060/5278] eta: 0:10:37 lr: 3.864207534121251e-05 loss: 0.1142 (0.1315) loss_seg: 0.1132 (0.1304) loss_lansim: 0.0780 (0.0896) loss_contra: 0.0011 (0.0169) time: 2.9233 data: 0.0064 max mem: 31630 Epoch: [9] [5070/5278] eta: 0:10:07 lr: 3.8639881935845386e-05 loss: 0.1142 (0.1315) loss_seg: 0.1132 (0.1304) loss_lansim: 0.0779 (0.0896) loss_contra: 0.0012 (0.0169) time: 2.9227 data: 0.0063 max mem: 31630 Epoch: [9] [5080/5278] eta: 0:09:38 lr: 3.8637688516643794e-05 loss: 0.1142 (0.1315) loss_seg: 0.1132 (0.1305) loss_lansim: 0.0778 (0.0896) loss_contra: 0.0010 (0.0169) time: 2.9223 data: 0.0063 max mem: 31630 Epoch: [9] [5090/5278] eta: 0:09:09 lr: 3.863549508360679e-05 loss: 0.1201 (0.1316) loss_seg: 0.1192 (0.1306) loss_lansim: 0.0779 (0.0895) loss_contra: 0.0013 (0.0169) time: 2.9201 data: 0.0064 max mem: 31630 Epoch: [9] [5100/5278] eta: 0:08:40 lr: 3.86333016367334e-05 loss: 0.1194 (0.1316) loss_seg: 0.1185 (0.1305) loss_lansim: 0.0784 (0.0895) loss_contra: 0.0014 (0.0169) time: 2.9205 data: 0.0064 max mem: 31630 Epoch: [9] [5110/5278] eta: 0:08:10 lr: 3.863110817602267e-05 loss: 0.1175 (0.1316) loss_seg: 0.1167 (0.1305) loss_lansim: 0.0776 (0.0895) loss_contra: 0.0016 (0.0169) time: 2.9200 data: 0.0064 max mem: 31630 Epoch: [9] [5120/5278] eta: 0:07:41 lr: 3.862891470147363e-05 loss: 0.1199 (0.1316) loss_seg: 0.1191 (0.1305) loss_lansim: 0.0785 (0.0895) loss_contra: 0.0014 (0.0169) time: 2.9172 data: 0.0065 max mem: 31630 Epoch: [9] [5130/5278] eta: 0:07:12 lr: 3.8626721213085346e-05 loss: 0.1226 (0.1316) loss_seg: 0.1218 (0.1305) loss_lansim: 0.0785 (0.0895) loss_contra: 0.0013 (0.0169) time: 2.9173 data: 0.0063 max mem: 31630 Epoch: [9] [5140/5278] eta: 0:06:43 lr: 3.8624527710856826e-05 loss: 0.1260 (0.1316) loss_seg: 0.1252 (0.1306) loss_lansim: 0.0797 (0.0895) loss_contra: 0.0011 (0.0169) time: 2.9145 data: 0.0061 max mem: 31630 Epoch: [9] [5150/5278] eta: 0:06:14 lr: 3.862233419478713e-05 loss: 0.1276 (0.1316) loss_seg: 0.1267 (0.1306) loss_lansim: 0.0785 (0.0894) loss_contra: 0.0012 (0.0169) time: 2.9127 data: 0.0060 max mem: 31630 Epoch: [9] [5160/5278] eta: 0:05:44 lr: 3.862014066487529e-05 loss: 0.1275 (0.1316) loss_seg: 0.1266 (0.1306) loss_lansim: 0.0805 (0.0894) loss_contra: 0.0011 (0.0168) time: 2.9128 data: 0.0060 max mem: 31630 Epoch: [9] [5170/5278] eta: 0:05:15 lr: 3.861794712112034e-05 loss: 0.1260 (0.1316) loss_seg: 0.1252 (0.1305) loss_lansim: 0.0784 (0.0894) loss_contra: 0.0012 (0.0168) time: 2.9156 data: 0.0061 max mem: 31630 Epoch: [9] [5180/5278] eta: 0:04:46 lr: 3.861575356352133e-05 loss: 0.1260 (0.1316) loss_seg: 0.1252 (0.1305) loss_lansim: 0.0804 (0.0894) loss_contra: 0.0013 (0.0168) time: 2.9159 data: 0.0060 max mem: 31630 Epoch: [9] [5190/5278] eta: 0:04:17 lr: 3.8613559992077284e-05 loss: 0.1199 (0.1316) loss_seg: 0.1191 (0.1305) loss_lansim: 0.0802 (0.0894) loss_contra: 0.0012 (0.0168) time: 2.9166 data: 0.0060 max mem: 31630 Epoch: [9] [5200/5278] eta: 0:03:47 lr: 3.8611366406787256e-05 loss: 0.1199 (0.1315) loss_seg: 0.1191 (0.1304) loss_lansim: 0.0795 (0.0894) loss_contra: 0.0011 (0.0168) time: 2.9159 data: 0.0060 max mem: 31630 Epoch: [9] [5210/5278] eta: 0:03:18 lr: 3.860917280765028e-05 loss: 0.1211 (0.1315) loss_seg: 0.1203 (0.1305) loss_lansim: 0.0808 (0.0893) loss_contra: 0.0011 (0.0168) time: 2.9181 data: 0.0060 max mem: 31630 Epoch: [9] [5220/5278] eta: 0:02:49 lr: 3.860697919466539e-05 loss: 0.1197 (0.1315) loss_seg: 0.1189 (0.1305) loss_lansim: 0.0806 (0.0893) loss_contra: 0.0011 (0.0168) time: 2.9197 data: 0.0060 max mem: 31630 Epoch: [9] [5230/5278] eta: 0:02:20 lr: 3.860478556783163e-05 loss: 0.1193 (0.1315) loss_seg: 0.1184 (0.1305) loss_lansim: 0.0805 (0.0893) loss_contra: 0.0011 (0.0168) time: 2.9225 data: 0.0060 max mem: 31630 Epoch: [9] [5240/5278] eta: 0:01:51 lr: 3.860259192714804e-05 loss: 0.1205 (0.1315) loss_seg: 0.1195 (0.1305) loss_lansim: 0.0808 (0.0893) loss_contra: 0.0012 (0.0168) time: 2.9245 data: 0.0061 max mem: 31630 Epoch: [9] [5250/5278] eta: 0:01:21 lr: 3.860039827261365e-05 loss: 0.1197 (0.1315) loss_seg: 0.1189 (0.1305) loss_lansim: 0.0817 (0.0893) loss_contra: 0.0012 (0.0167) time: 2.9231 data: 0.0061 max mem: 31630 Epoch: [9] [5260/5278] eta: 0:00:52 lr: 3.8598204604227494e-05 loss: 0.1220 (0.1315) loss_seg: 0.1212 (0.1305) loss_lansim: 0.0832 (0.0893) loss_contra: 0.0011 (0.0167) time: 2.9243 data: 0.0061 max mem: 31630 Epoch: [9] [5270/5278] eta: 0:00:23 lr: 3.8596010921988616e-05 loss: 0.1224 (0.1315) loss_seg: 0.1215 (0.1305) loss_lansim: 0.0845 (0.0893) loss_contra: 0.0011 (0.0167) time: 2.9252 data: 0.0060 max mem: 31630 Epoch: [9] Total time: 4:17:04 Test: [ 0/2573] eta: 1:03:17 time: 1.4761 data: 1.2653 max mem: 31630 Test: [ 100/2573] eta: 0:06:20 time: 0.1407 data: 0.0015 max mem: 31630 Test: [ 200/2573] eta: 0:05:55 time: 0.1460 data: 0.0017 max mem: 31630 Test: [ 300/2573] eta: 0:05:33 time: 0.1402 data: 0.0017 max mem: 31630 Test: [ 400/2573] eta: 0:05:17 time: 0.1433 data: 0.0017 max mem: 31630 Test: [ 500/2573] eta: 0:05:01 time: 0.1442 data: 0.0016 max mem: 31630 Test: [ 600/2573] eta: 0:04:47 time: 0.1459 data: 0.0016 max mem: 31630 Test: [ 700/2573] eta: 0:04:33 time: 0.1498 data: 0.0016 max mem: 31630 Test: [ 800/2573] eta: 0:04:19 time: 0.1462 data: 0.0016 max mem: 31630 Test: [ 900/2573] eta: 0:04:04 time: 0.1471 data: 0.0016 max mem: 31630 Test: [1000/2573] eta: 0:03:49 time: 0.1453 data: 0.0017 max mem: 31630 Test: [1100/2573] eta: 0:03:35 time: 0.1446 data: 0.0016 max mem: 31630 Test: [1200/2573] eta: 0:03:20 time: 0.1476 data: 0.0016 max mem: 31630 Test: [1300/2573] eta: 0:03:06 time: 0.1455 data: 0.0016 max mem: 31630 Test: [1400/2573] eta: 0:02:51 time: 0.1419 data: 0.0016 max mem: 31630 Test: [1500/2573] eta: 0:02:36 time: 0.1467 data: 0.0016 max mem: 31630 Test: [1600/2573] eta: 0:02:21 time: 0.1453 data: 0.0016 max mem: 31630 Test: [1700/2573] eta: 0:02:07 time: 0.1466 data: 0.0016 max mem: 31630 Test: [1800/2573] eta: 0:01:52 time: 0.1437 data: 0.0016 max mem: 31630 Test: [1900/2573] eta: 0:01:37 time: 0.1422 data: 0.0016 max mem: 31630 Test: [2000/2573] eta: 0:01:23 time: 0.1422 data: 0.0016 max mem: 31630 Test: [2100/2573] eta: 0:01:08 time: 0.1463 data: 0.0016 max mem: 31630 Test: [2200/2573] eta: 0:00:54 time: 0.1414 data: 0.0016 max mem: 31630 Test: [2300/2573] eta: 0:00:39 time: 0.1462 data: 0.0016 max mem: 31630 Test: [2400/2573] eta: 0:00:25 time: 0.1444 data: 0.0016 max mem: 31630 Test: [2500/2573] eta: 0:00:10 time: 0.1466 data: 0.0016 max mem: 31630 Test: Total time: 0:06:14 Final results: precision@0.5 = 56.88 precision@0.6 = 50.55 precision@0.7 = 42.71 precision@0.8 = 31.25 precision@0.9 = 12.01 overall IoU = 50.56 mean IoU = 51.72 Better epoch: 9 The best_performance is 50.55719287252088 Epoch: [10] [ 0/5278] eta: 6:35:54 lr: 3.859425596622291e-05 loss: 0.1812 (0.1812) loss_seg: 0.1803 (0.1803) loss_lansim: 0.0848 (0.0848) loss_contra: 0.0001 (0.0001) time: 4.5008 data: 1.5550 max mem: 31630 Epoch: [10] [ 10/5278] eta: 4:29:04 lr: 3.859206225904672e-05 loss: 0.1587 (0.1404) loss_seg: 0.1577 (0.1394) loss_lansim: 0.0952 (0.0966) loss_contra: 0.0003 (0.0082) time: 3.0647 data: 0.1467 max mem: 31630 Epoch: [10] [ 20/5278] eta: 4:23:55 lr: 3.858986853801511e-05 loss: 0.1243 (0.1323) loss_seg: 0.1231 (0.1313) loss_lansim: 0.0958 (0.0977) loss_contra: 0.0010 (0.0083) time: 3.0116 data: 0.0794 max mem: 31630 Epoch: [10] [ 30/5278] eta: 4:21:56 lr: 3.858767480312712e-05 loss: 0.1169 (0.1218) loss_seg: 0.1158 (0.1208) loss_lansim: 0.0958 (0.0966) loss_contra: 0.0005 (0.0061) time: 2.9947 data: 0.0556 max mem: 31630 Epoch: [10] [ 40/5278] eta: 4:18:41 lr: 3.858548105438179e-05 loss: 0.1135 (0.1190) loss_seg: 0.1124 (0.1180) loss_lansim: 0.0958 (0.0961) loss_contra: 0.0005 (0.0064) time: 2.9632 data: 0.0436 max mem: 31630 Epoch: [10] [ 50/5278] eta: 4:17:21 lr: 3.8583287291778156e-05 loss: 0.1130 (0.1173) loss_seg: 0.1119 (0.1163) loss_lansim: 0.0953 (0.0956) loss_contra: 0.0006 (0.0056) time: 2.9536 data: 0.0361 max mem: 31630 Epoch: [10] [ 60/5278] eta: 4:16:53 lr: 3.858109351531525e-05 loss: 0.1102 (0.1159) loss_seg: 0.1093 (0.1149) loss_lansim: 0.0956 (0.0957) loss_contra: 0.0006 (0.0049) time: 2.9538 data: 0.0311 max mem: 31630 Epoch: [10] [ 70/5278] eta: 4:15:41 lr: 3.857889972499212e-05 loss: 0.1094 (0.1156) loss_seg: 0.1083 (0.1146) loss_lansim: 0.0953 (0.0955) loss_contra: 0.0010 (0.0057) time: 2.9458 data: 0.0275 max mem: 31630 Epoch: [10] [ 80/5278] eta: 4:14:16 lr: 3.8576705920807796e-05 loss: 0.1094 (0.1147) loss_seg: 0.1083 (0.1137) loss_lansim: 0.0956 (0.0959) loss_contra: 0.0010 (0.0054) time: 2.9351 data: 0.0248 max mem: 31630 Epoch: [10] [ 90/5278] eta: 4:13:40 lr: 3.857451210276132e-05 loss: 0.1094 (0.1145) loss_seg: 0.1083 (0.1134) loss_lansim: 0.0954 (0.0959) loss_contra: 0.0007 (0.0057) time: 2.9337 data: 0.0227 max mem: 31630 Epoch: [10] [ 100/5278] eta: 4:12:31 lr: 3.8572318270851706e-05 loss: 0.1071 (0.1143) loss_seg: 0.1062 (0.1133) loss_lansim: 0.0956 (0.0963) loss_contra: 0.0007 (0.0053) time: 2.9105 data: 0.0057 max mem: 31630 Epoch: [10] [ 110/5278] eta: 4:11:24 lr: 3.857012442507803e-05 loss: 0.1047 (0.1143) loss_seg: 0.1037 (0.1133) loss_lansim: 0.0956 (0.0965) loss_contra: 0.0008 (0.0052) time: 2.9027 data: 0.0057 max mem: 31630 Epoch: [10] [ 120/5278] eta: 4:10:52 lr: 3.8567930565439286e-05 loss: 0.1039 (0.1150) loss_seg: 0.1027 (0.1140) loss_lansim: 0.0956 (0.0967) loss_contra: 0.0007 (0.0050) time: 2.8987 data: 0.0058 max mem: 31630 Epoch: [10] [ 130/5278] eta: 4:09:54 lr: 3.856573669193455e-05 loss: 0.1071 (0.1165) loss_seg: 0.1062 (0.1155) loss_lansim: 0.0956 (0.0968) loss_contra: 0.0007 (0.0052) time: 2.8873 data: 0.0058 max mem: 31630 Epoch: [10] [ 140/5278] eta: 4:09:12 lr: 3.8563542804562816e-05 loss: 0.1102 (0.1173) loss_seg: 0.1093 (0.1163) loss_lansim: 0.0959 (0.0972) loss_contra: 0.0007 (0.0049) time: 2.8884 data: 0.0058 max mem: 31630 Epoch: [10] [ 150/5278] eta: 4:08:46 lr: 3.856134890332315e-05 loss: 0.1111 (0.1171) loss_seg: 0.1098 (0.1161) loss_lansim: 0.0967 (0.0970) loss_contra: 0.0010 (0.0049) time: 2.8889 data: 0.0058 max mem: 31630 Epoch: [10] [ 160/5278] eta: 4:08:15 lr: 3.8559154988214585e-05 loss: 0.1122 (0.1172) loss_seg: 0.1112 (0.1162) loss_lansim: 0.0957 (0.0965) loss_contra: 0.0010 (0.0050) time: 2.8838 data: 0.0059 max mem: 31630 Epoch: [10] [ 170/5278] eta: 4:07:23 lr: 3.855696105923615e-05 loss: 0.1124 (0.1174) loss_seg: 0.1115 (0.1164) loss_lansim: 0.0961 (0.0964) loss_contra: 0.0010 (0.0065) time: 2.8778 data: 0.0059 max mem: 31630 Epoch: [10] [ 180/5278] eta: 4:06:55 lr: 3.8554767116386876e-05 loss: 0.1135 (0.1179) loss_seg: 0.1125 (0.1169) loss_lansim: 0.0947 (0.0962) loss_contra: 0.0010 (0.0065) time: 2.8826 data: 0.0059 max mem: 31630 Epoch: [10] [ 190/5278] eta: 4:06:33 lr: 3.8552573159665806e-05 loss: 0.1118 (0.1167) loss_seg: 0.1107 (0.1157) loss_lansim: 0.0962 (0.0964) loss_contra: 0.0010 (0.0065) time: 2.8836 data: 0.0059 max mem: 31630 Epoch: [10] [ 200/5278] eta: 4:06:08 lr: 3.855037918907197e-05 loss: 0.1111 (0.1163) loss_seg: 0.1098 (0.1153) loss_lansim: 0.0967 (0.0966) loss_contra: 0.0013 (0.0069) time: 2.8903 data: 0.0058 max mem: 31630 Epoch: [10] [ 210/5278] eta: 4:05:40 lr: 3.854818520460441e-05 loss: 0.1122 (0.1171) loss_seg: 0.1112 (0.1161) loss_lansim: 0.0968 (0.0967) loss_contra: 0.0014 (0.0077) time: 2.8970 data: 0.0058 max mem: 31630 Epoch: [10] [ 220/5278] eta: 4:05:15 lr: 3.854599120626215e-05 loss: 0.1122 (0.1169) loss_seg: 0.1112 (0.1158) loss_lansim: 0.0968 (0.0969) loss_contra: 0.0018 (0.0080) time: 2.8985 data: 0.0058 max mem: 31630 Epoch: [10] [ 230/5278] eta: 4:04:43 lr: 3.854379719404424e-05 loss: 0.1056 (0.1162) loss_seg: 0.1047 (0.1152) loss_lansim: 0.0962 (0.0967) loss_contra: 0.0019 (0.0085) time: 2.9037 data: 0.0058 max mem: 31630 Epoch: [10] [ 240/5278] eta: 4:04:23 lr: 3.8541603167949705e-05 loss: 0.1034 (0.1161) loss_seg: 0.1026 (0.1150) loss_lansim: 0.0963 (0.0968) loss_contra: 0.0020 (0.0083) time: 2.9110 data: 0.0058 max mem: 31630 Epoch: [10] [ 250/5278] eta: 4:04:03 lr: 3.853940912797757e-05 loss: 0.1040 (0.1158) loss_seg: 0.1029 (0.1148) loss_lansim: 0.0962 (0.0969) loss_contra: 0.0020 (0.0081) time: 2.9148 data: 0.0058 max mem: 31630 Epoch: [10] [ 260/5278] eta: 4:03:39 lr: 3.8537215074126884e-05 loss: 0.1024 (0.1166) loss_seg: 0.1015 (0.1156) loss_lansim: 0.0968 (0.0970) loss_contra: 0.0020 (0.0089) time: 2.9183 data: 0.0058 max mem: 31630 Epoch: [10] [ 270/5278] eta: 4:02:57 lr: 3.8535021006396685e-05 loss: 0.1024 (0.1166) loss_seg: 0.1015 (0.1155) loss_lansim: 0.0968 (0.0970) loss_contra: 0.0019 (0.0090) time: 2.9189 data: 0.0058 max mem: 31630 Epoch: [10] [ 280/5278] eta: 4:02:33 lr: 3.8532826924785994e-05 loss: 0.1020 (0.1164) loss_seg: 0.1010 (0.1153) loss_lansim: 0.0974 (0.0973) loss_contra: 0.0018 (0.0088) time: 2.9221 data: 0.0057 max mem: 31630 Epoch: [10] [ 290/5278] eta: 4:02:01 lr: 3.853063282929385e-05 loss: 0.1035 (0.1167) loss_seg: 0.1024 (0.1156) loss_lansim: 0.0997 (0.0978) loss_contra: 0.0018 (0.0087) time: 2.9187 data: 0.0057 max mem: 31630 Epoch: [10] [ 300/5278] eta: 4:01:35 lr: 3.852843871991929e-05 loss: 0.1047 (0.1166) loss_seg: 0.1037 (0.1156) loss_lansim: 0.0999 (0.0984) loss_contra: 0.0016 (0.0085) time: 2.9188 data: 0.0057 max mem: 31630 Epoch: [10] [ 310/5278] eta: 4:01:04 lr: 3.8526244596661335e-05 loss: 0.1047 (0.1167) loss_seg: 0.1037 (0.1156) loss_lansim: 0.1002 (0.0990) loss_contra: 0.0016 (0.0084) time: 2.9180 data: 0.0056 max mem: 31630 Epoch: [10] [ 320/5278] eta: 4:00:35 lr: 3.852405045951904e-05 loss: 0.1051 (0.1169) loss_seg: 0.1041 (0.1158) loss_lansim: 0.1020 (0.0996) loss_contra: 0.0013 (0.0083) time: 2.9166 data: 0.0056 max mem: 31630 Epoch: [10] [ 330/5278] eta: 4:00:07 lr: 3.852185630849142e-05 loss: 0.1088 (0.1172) loss_seg: 0.1075 (0.1161) loss_lansim: 0.1062 (0.1001) loss_contra: 0.0009 (0.0081) time: 2.9183 data: 0.0056 max mem: 31630 Epoch: [10] [ 340/5278] eta: 3:59:36 lr: 3.851966214357752e-05 loss: 0.1103 (0.1182) loss_seg: 0.1092 (0.1171) loss_lansim: 0.1095 (0.1006) loss_contra: 0.0011 (0.0082) time: 2.9136 data: 0.0055 max mem: 31630 Epoch: [10] [ 350/5278] eta: 3:59:13 lr: 3.851746796477636e-05 loss: 0.1088 (0.1179) loss_seg: 0.1075 (0.1168) loss_lansim: 0.1100 (0.1011) loss_contra: 0.0011 (0.0080) time: 2.9136 data: 0.0055 max mem: 31630 Epoch: [10] [ 360/5278] eta: 3:58:50 lr: 3.8515273772086984e-05 loss: 0.1088 (0.1179) loss_seg: 0.1075 (0.1168) loss_lansim: 0.1127 (0.1016) loss_contra: 0.0010 (0.0081) time: 2.9149 data: 0.0055 max mem: 31630 Epoch: [10] [ 370/5278] eta: 3:58:14 lr: 3.851307956550843e-05 loss: 0.1088 (0.1176) loss_seg: 0.1075 (0.1165) loss_lansim: 0.1148 (0.1020) loss_contra: 0.0010 (0.0083) time: 2.9170 data: 0.0055 max mem: 31630 Epoch: [10] [ 380/5278] eta: 3:57:50 lr: 3.851088534503972e-05 loss: 0.1103 (0.1180) loss_seg: 0.1088 (0.1169) loss_lansim: 0.1153 (0.1023) loss_contra: 0.0013 (0.0082) time: 2.9188 data: 0.0055 max mem: 31630 Epoch: [10] [ 390/5278] eta: 3:57:25 lr: 3.850869111067989e-05 loss: 0.1110 (0.1182) loss_seg: 0.1097 (0.1171) loss_lansim: 0.1150 (0.1025) loss_contra: 0.0011 (0.0080) time: 2.9232 data: 0.0055 max mem: 31630 Epoch: [10] [ 400/5278] eta: 3:56:57 lr: 3.850649686242797e-05 loss: 0.1113 (0.1183) loss_seg: 0.1102 (0.1172) loss_lansim: 0.1142 (0.1025) loss_contra: 0.0014 (0.0083) time: 2.9227 data: 0.0056 max mem: 31630 Epoch: [10] [ 410/5278] eta: 3:56:18 lr: 3.8504302600282995e-05 loss: 0.1128 (0.1191) loss_seg: 0.1115 (0.1180) loss_lansim: 0.1121 (0.1026) loss_contra: 0.0014 (0.0088) time: 2.9162 data: 0.0056 max mem: 31630 Epoch: [10] [ 420/5278] eta: 3:55:45 lr: 3.8502108324244e-05 loss: 0.1110 (0.1187) loss_seg: 0.1097 (0.1176) loss_lansim: 0.1119 (0.1028) loss_contra: 0.0014 (0.0086) time: 2.9122 data: 0.0057 max mem: 31630 Epoch: [10] [ 430/5278] eta: 3:55:07 lr: 3.849991403431002e-05 loss: 0.1122 (0.1188) loss_seg: 0.1111 (0.1177) loss_lansim: 0.1117 (0.1030) loss_contra: 0.0017 (0.0086) time: 2.9043 data: 0.0058 max mem: 31630 Epoch: [10] [ 440/5278] eta: 3:54:32 lr: 3.849771973048007e-05 loss: 0.1110 (0.1190) loss_seg: 0.1095 (0.1179) loss_lansim: 0.1103 (0.1030) loss_contra: 0.0018 (0.0095) time: 2.8998 data: 0.0058 max mem: 31630 Epoch: [10] [ 450/5278] eta: 3:53:55 lr: 3.8495525412753205e-05 loss: 0.1139 (0.1194) loss_seg: 0.1127 (0.1182) loss_lansim: 0.1098 (0.1031) loss_contra: 0.0022 (0.0096) time: 2.8878 data: 0.0059 max mem: 31630 Epoch: [10] [ 460/5278] eta: 3:53:19 lr: 3.8493331081128434e-05 loss: 0.1122 (0.1188) loss_seg: 0.1102 (0.1177) loss_lansim: 0.1082 (0.1030) loss_contra: 0.0018 (0.0095) time: 2.8766 data: 0.0060 max mem: 31630 Epoch: [10] [ 470/5278] eta: 3:52:45 lr: 3.849113673560481e-05 loss: 0.1127 (0.1191) loss_seg: 0.1118 (0.1180) loss_lansim: 0.1055 (0.1030) loss_contra: 0.0022 (0.0098) time: 2.8760 data: 0.0060 max mem: 31630 Epoch: [10] [ 480/5278] eta: 3:52:13 lr: 3.8488942376181343e-05 loss: 0.1126 (0.1193) loss_seg: 0.1118 (0.1182) loss_lansim: 0.1035 (0.1028) loss_contra: 0.0022 (0.0099) time: 2.8674 data: 0.0061 max mem: 31630 Epoch: [10] [ 490/5278] eta: 3:51:40 lr: 3.848674800285708e-05 loss: 0.1154 (0.1195) loss_seg: 0.1142 (0.1183) loss_lansim: 0.1028 (0.1027) loss_contra: 0.0027 (0.0099) time: 2.8594 data: 0.0061 max mem: 31630 Epoch: [10] [ 500/5278] eta: 3:51:04 lr: 3.848455361563106e-05 loss: 0.1127 (0.1193) loss_seg: 0.1118 (0.1182) loss_lansim: 0.1026 (0.1025) loss_contra: 0.0022 (0.0108) time: 2.8505 data: 0.0062 max mem: 31630 Epoch: [10] [ 510/5278] eta: 3:50:33 lr: 3.8482359214502295e-05 loss: 0.1109 (0.1195) loss_seg: 0.1095 (0.1183) loss_lansim: 0.1016 (0.1023) loss_contra: 0.0018 (0.0108) time: 2.8542 data: 0.0062 max mem: 31630 Epoch: [10] [ 520/5278] eta: 3:49:58 lr: 3.848016479946982e-05 loss: 0.1124 (0.1194) loss_seg: 0.1099 (0.1182) loss_lansim: 0.0989 (0.1021) loss_contra: 0.0022 (0.0108) time: 2.8504 data: 0.0063 max mem: 31630 Epoch: [10] [ 530/5278] eta: 3:49:26 lr: 3.847797037053267e-05 loss: 0.1084 (0.1191) loss_seg: 0.1067 (0.1180) loss_lansim: 0.0977 (0.1020) loss_contra: 0.0026 (0.0110) time: 2.8538 data: 0.0063 max mem: 31630 Epoch: [10] [ 540/5278] eta: 3:48:59 lr: 3.847577592768988e-05 loss: 0.1073 (0.1193) loss_seg: 0.1062 (0.1181) loss_lansim: 0.0960 (0.1019) loss_contra: 0.0022 (0.0109) time: 2.8610 data: 0.0063 max mem: 31630 Epoch: [10] [ 550/5278] eta: 3:48:31 lr: 3.847358147094047e-05 loss: 0.1072 (0.1194) loss_seg: 0.1062 (0.1183) loss_lansim: 0.0947 (0.1019) loss_contra: 0.0022 (0.0111) time: 2.8685 data: 0.0063 max mem: 31630 Epoch: [10] [ 560/5278] eta: 3:48:02 lr: 3.847138700028348e-05 loss: 0.1084 (0.1194) loss_seg: 0.1067 (0.1183) loss_lansim: 0.0953 (0.1019) loss_contra: 0.0022 (0.0109) time: 2.8739 data: 0.0063 max mem: 31630 Epoch: [10] [ 570/5278] eta: 3:47:35 lr: 3.846919251571794e-05 loss: 0.1059 (0.1193) loss_seg: 0.1050 (0.1182) loss_lansim: 0.0957 (0.1019) loss_contra: 0.0021 (0.0108) time: 2.8800 data: 0.0062 max mem: 31630 Epoch: [10] [ 580/5278] eta: 3:47:08 lr: 3.846699801724288e-05 loss: 0.1037 (0.1190) loss_seg: 0.1026 (0.1179) loss_lansim: 0.0953 (0.1020) loss_contra: 0.0019 (0.0108) time: 2.8864 data: 0.0062 max mem: 31630 Epoch: [10] [ 590/5278] eta: 3:46:38 lr: 3.846480350485732e-05 loss: 0.1034 (0.1189) loss_seg: 0.1024 (0.1178) loss_lansim: 0.0960 (0.1020) loss_contra: 0.0019 (0.0108) time: 2.8886 data: 0.0062 max mem: 31630 Epoch: [10] [ 600/5278] eta: 3:46:11 lr: 3.846260897856029e-05 loss: 0.1041 (0.1189) loss_seg: 0.1030 (0.1178) loss_lansim: 0.0961 (0.1020) loss_contra: 0.0019 (0.0106) time: 2.8976 data: 0.0062 max mem: 31630 Epoch: [10] [ 610/5278] eta: 3:45:44 lr: 3.846041443835084e-05 loss: 0.1072 (0.1192) loss_seg: 0.1062 (0.1180) loss_lansim: 0.0969 (0.1019) loss_contra: 0.0019 (0.0105) time: 2.9038 data: 0.0062 max mem: 31630 Epoch: [10] [ 620/5278] eta: 3:45:15 lr: 3.8458219884227976e-05 loss: 0.1072 (0.1191) loss_seg: 0.1063 (0.1180) loss_lansim: 0.0996 (0.1019) loss_contra: 0.0018 (0.0106) time: 2.9095 data: 0.0061 max mem: 31630 Epoch: [10] [ 630/5278] eta: 3:44:47 lr: 3.8456025316190746e-05 loss: 0.1082 (0.1190) loss_seg: 0.1073 (0.1179) loss_lansim: 0.0990 (0.1018) loss_contra: 0.0014 (0.0105) time: 2.9149 data: 0.0060 max mem: 31630 Epoch: [10] [ 640/5278] eta: 3:44:23 lr: 3.8453830734238174e-05 loss: 0.1089 (0.1189) loss_seg: 0.1077 (0.1177) loss_lansim: 0.0998 (0.1018) loss_contra: 0.0013 (0.0108) time: 2.9184 data: 0.0060 max mem: 31630 Epoch: [10] [ 650/5278] eta: 3:43:56 lr: 3.845163613836928e-05 loss: 0.1082 (0.1190) loss_seg: 0.1073 (0.1179) loss_lansim: 0.0986 (0.1017) loss_contra: 0.0010 (0.0107) time: 2.9212 data: 0.0060 max mem: 31630 Epoch: [10] [ 660/5278] eta: 3:43:27 lr: 3.844944152858311e-05 loss: 0.1089 (0.1188) loss_seg: 0.1077 (0.1177) loss_lansim: 0.0980 (0.1016) loss_contra: 0.0012 (0.0107) time: 2.9220 data: 0.0061 max mem: 31630 Epoch: [10] [ 670/5278] eta: 3:43:01 lr: 3.8447246904878676e-05 loss: 0.1143 (0.1189) loss_seg: 0.1132 (0.1178) loss_lansim: 0.0961 (0.1013) loss_contra: 0.0010 (0.0106) time: 2.9238 data: 0.0061 max mem: 31630 Epoch: [10] [ 680/5278] eta: 3:42:34 lr: 3.844505226725501e-05 loss: 0.1177 (0.1192) loss_seg: 0.1167 (0.1180) loss_lansim: 0.0949 (0.1011) loss_contra: 0.0011 (0.0105) time: 2.9248 data: 0.0061 max mem: 31630 Epoch: [10] [ 690/5278] eta: 3:42:04 lr: 3.844285761571116e-05 loss: 0.1173 (0.1190) loss_seg: 0.1163 (0.1179) loss_lansim: 0.0926 (0.1009) loss_contra: 0.0012 (0.0104) time: 2.9245 data: 0.0060 max mem: 31630 Epoch: [10] [ 700/5278] eta: 3:41:35 lr: 3.844066295024612e-05 loss: 0.1177 (0.1190) loss_seg: 0.1167 (0.1179) loss_lansim: 0.0919 (0.1008) loss_contra: 0.0012 (0.0104) time: 2.9239 data: 0.0060 max mem: 31630 Epoch: [10] [ 710/5278] eta: 3:41:09 lr: 3.8438468270858965e-05 loss: 0.1173 (0.1192) loss_seg: 0.1163 (0.1181) loss_lansim: 0.0909 (0.1006) loss_contra: 0.0013 (0.0104) time: 2.9244 data: 0.0060 max mem: 31630 Epoch: [10] [ 720/5278] eta: 3:40:40 lr: 3.843627357754868e-05 loss: 0.1196 (0.1191) loss_seg: 0.1187 (0.1180) loss_lansim: 0.0883 (0.1005) loss_contra: 0.0016 (0.0103) time: 2.9253 data: 0.0060 max mem: 31630 Epoch: [10] [ 730/5278] eta: 3:40:11 lr: 3.843407887031431e-05 loss: 0.1173 (0.1190) loss_seg: 0.1163 (0.1179) loss_lansim: 0.0882 (0.1003) loss_contra: 0.0020 (0.0102) time: 2.9244 data: 0.0060 max mem: 31630 Epoch: [10] [ 740/5278] eta: 3:39:45 lr: 3.843188414915489e-05 loss: 0.1170 (0.1190) loss_seg: 0.1160 (0.1179) loss_lansim: 0.0874 (0.1002) loss_contra: 0.0018 (0.0101) time: 2.9232 data: 0.0060 max mem: 31630 Epoch: [10] [ 750/5278] eta: 3:39:20 lr: 3.842968941406944e-05 loss: 0.1153 (0.1190) loss_seg: 0.1144 (0.1179) loss_lansim: 0.0873 (0.1001) loss_contra: 0.0022 (0.0100) time: 2.9257 data: 0.0059 max mem: 31630 Epoch: [10] [ 760/5278] eta: 3:38:48 lr: 3.842749466505699e-05 loss: 0.1167 (0.1193) loss_seg: 0.1157 (0.1182) loss_lansim: 0.0873 (0.1000) loss_contra: 0.0023 (0.0102) time: 2.9227 data: 0.0059 max mem: 31630 Epoch: [10] [ 770/5278] eta: 3:38:20 lr: 3.842529990211656e-05 loss: 0.1097 (0.1191) loss_seg: 0.1088 (0.1180) loss_lansim: 0.0882 (0.1000) loss_contra: 0.0025 (0.0107) time: 2.9206 data: 0.0058 max mem: 31630 Epoch: [10] [ 780/5278] eta: 3:37:53 lr: 3.842310512524719e-05 loss: 0.1097 (0.1193) loss_seg: 0.1088 (0.1182) loss_lansim: 0.0895 (0.1000) loss_contra: 0.0028 (0.0107) time: 2.9204 data: 0.0058 max mem: 31630 Epoch: [10] [ 790/5278] eta: 3:37:24 lr: 3.8420910334447914e-05 loss: 0.1135 (0.1194) loss_seg: 0.1125 (0.1183) loss_lansim: 0.0927 (0.1000) loss_contra: 0.0028 (0.0106) time: 2.9237 data: 0.0058 max mem: 31630 Epoch: [10] [ 800/5278] eta: 3:36:57 lr: 3.8418715529717735e-05 loss: 0.1085 (0.1193) loss_seg: 0.1075 (0.1181) loss_lansim: 0.0932 (0.1000) loss_contra: 0.0029 (0.0108) time: 2.9262 data: 0.0058 max mem: 31630 Epoch: [10] [ 810/5278] eta: 3:36:30 lr: 3.8416520711055694e-05 loss: 0.1056 (0.1190) loss_seg: 0.1046 (0.1179) loss_lansim: 0.0944 (0.1000) loss_contra: 0.0028 (0.0107) time: 2.9259 data: 0.0058 max mem: 31630 Epoch: [10] [ 820/5278] eta: 3:36:03 lr: 3.841432587846083e-05 loss: 0.1064 (0.1189) loss_seg: 0.1051 (0.1178) loss_lansim: 0.0950 (0.1000) loss_contra: 0.0026 (0.0107) time: 2.9299 data: 0.0058 max mem: 31630 Epoch: [10] [ 830/5278] eta: 3:35:33 lr: 3.8412131031932135e-05 loss: 0.1064 (0.1190) loss_seg: 0.1051 (0.1179) loss_lansim: 0.0954 (0.1000) loss_contra: 0.0026 (0.0111) time: 2.9274 data: 0.0058 max mem: 31630 Epoch: [10] [ 840/5278] eta: 3:35:03 lr: 3.840993617146867e-05 loss: 0.1066 (0.1192) loss_seg: 0.1056 (0.1180) loss_lansim: 0.0961 (0.1000) loss_contra: 0.0024 (0.0111) time: 2.9222 data: 0.0057 max mem: 31630 Epoch: [10] [ 850/5278] eta: 3:34:37 lr: 3.840774129706946e-05 loss: 0.1100 (0.1192) loss_seg: 0.1091 (0.1181) loss_lansim: 0.0974 (0.0999) loss_contra: 0.0023 (0.0111) time: 2.9226 data: 0.0057 max mem: 31630 Epoch: [10] [ 860/5278] eta: 3:34:08 lr: 3.840554640873351e-05 loss: 0.1066 (0.1189) loss_seg: 0.1056 (0.1178) loss_lansim: 0.0975 (0.0998) loss_contra: 0.0024 (0.0110) time: 2.9255 data: 0.0057 max mem: 31630 Epoch: [10] [ 870/5278] eta: 3:33:37 lr: 3.840335150645987e-05 loss: 0.1100 (0.1190) loss_seg: 0.1090 (0.1179) loss_lansim: 0.0972 (0.0998) loss_contra: 0.0021 (0.0109) time: 2.9206 data: 0.0056 max mem: 31630 Epoch: [10] [ 880/5278] eta: 3:33:11 lr: 3.840115659024754e-05 loss: 0.1083 (0.1190) loss_seg: 0.1073 (0.1179) loss_lansim: 0.0976 (0.0998) loss_contra: 0.0019 (0.0110) time: 2.9234 data: 0.0057 max mem: 31630 Epoch: [10] [ 890/5278] eta: 3:32:44 lr: 3.839896166009557e-05 loss: 0.1063 (0.1189) loss_seg: 0.1053 (0.1178) loss_lansim: 0.0956 (0.0996) loss_contra: 0.0020 (0.0110) time: 2.9281 data: 0.0056 max mem: 31630 Epoch: [10] [ 900/5278] eta: 3:32:14 lr: 3.839676671600297e-05 loss: 0.1065 (0.1189) loss_seg: 0.1054 (0.1178) loss_lansim: 0.0955 (0.0996) loss_contra: 0.0017 (0.0110) time: 2.9225 data: 0.0056 max mem: 31630 Epoch: [10] [ 910/5278] eta: 3:31:45 lr: 3.8394571757968775e-05 loss: 0.1066 (0.1190) loss_seg: 0.1056 (0.1179) loss_lansim: 0.0949 (0.0994) loss_contra: 0.0015 (0.0109) time: 2.9194 data: 0.0056 max mem: 31630 Epoch: [10] [ 920/5278] eta: 3:31:18 lr: 3.8392376785992016e-05 loss: 0.1063 (0.1190) loss_seg: 0.1053 (0.1179) loss_lansim: 0.0936 (0.0993) loss_contra: 0.0014 (0.0109) time: 2.9198 data: 0.0056 max mem: 31630 Epoch: [10] [ 930/5278] eta: 3:30:47 lr: 3.839018180007171e-05 loss: 0.1078 (0.1193) loss_seg: 0.1070 (0.1182) loss_lansim: 0.0932 (0.0993) loss_contra: 0.0014 (0.0110) time: 2.9190 data: 0.0057 max mem: 31630 Epoch: [10] [ 940/5278] eta: 3:30:18 lr: 3.838798680020688e-05 loss: 0.1047 (0.1192) loss_seg: 0.1037 (0.1181) loss_lansim: 0.0918 (0.0992) loss_contra: 0.0015 (0.0109) time: 2.9197 data: 0.0057 max mem: 31630 Epoch: [10] [ 950/5278] eta: 3:29:51 lr: 3.8385791786396565e-05 loss: 0.1040 (0.1193) loss_seg: 0.1030 (0.1182) loss_lansim: 0.0922 (0.0991) loss_contra: 0.0013 (0.0109) time: 2.9182 data: 0.0057 max mem: 31630 Epoch: [10] [ 960/5278] eta: 3:29:23 lr: 3.838359675863977e-05 loss: 0.1050 (0.1191) loss_seg: 0.1042 (0.1180) loss_lansim: 0.0918 (0.0990) loss_contra: 0.0013 (0.0109) time: 2.9222 data: 0.0057 max mem: 31630 Epoch: [10] [ 970/5278] eta: 3:28:54 lr: 3.838140171693553e-05 loss: 0.1034 (0.1190) loss_seg: 0.1025 (0.1179) loss_lansim: 0.0913 (0.0990) loss_contra: 0.0012 (0.0108) time: 2.9250 data: 0.0057 max mem: 31630 Epoch: [10] [ 980/5278] eta: 3:28:27 lr: 3.837920666128288e-05 loss: 0.1028 (0.1187) loss_seg: 0.1019 (0.1176) loss_lansim: 0.0894 (0.0989) loss_contra: 0.0013 (0.0108) time: 2.9245 data: 0.0057 max mem: 31630 Epoch: [10] [ 990/5278] eta: 3:27:59 lr: 3.837701159168083e-05 loss: 0.1034 (0.1187) loss_seg: 0.1025 (0.1176) loss_lansim: 0.0896 (0.0988) loss_contra: 0.0013 (0.0111) time: 2.9216 data: 0.0057 max mem: 31630 Epoch: [10] [1000/5278] eta: 3:27:28 lr: 3.8374816508128425e-05 loss: 0.1034 (0.1188) loss_seg: 0.1025 (0.1177) loss_lansim: 0.0896 (0.0987) loss_contra: 0.0014 (0.0110) time: 2.9205 data: 0.0057 max mem: 31630 Epoch: [10] [1010/5278] eta: 3:27:00 lr: 3.837262141062466e-05 loss: 0.1050 (0.1188) loss_seg: 0.1042 (0.1177) loss_lansim: 0.0901 (0.0986) loss_contra: 0.0014 (0.0110) time: 2.9221 data: 0.0057 max mem: 31630 Epoch: [10] [1020/5278] eta: 3:26:32 lr: 3.837042629916858e-05 loss: 0.1045 (0.1186) loss_seg: 0.1036 (0.1175) loss_lansim: 0.0894 (0.0985) loss_contra: 0.0016 (0.0109) time: 2.9230 data: 0.0057 max mem: 31630 Epoch: [10] [1030/5278] eta: 3:26:02 lr: 3.836823117375921e-05 loss: 0.1034 (0.1186) loss_seg: 0.1025 (0.1175) loss_lansim: 0.0884 (0.0983) loss_contra: 0.0017 (0.0112) time: 2.9233 data: 0.0057 max mem: 31630 Epoch: [10] [1040/5278] eta: 3:25:33 lr: 3.836603603439556e-05 loss: 0.1045 (0.1186) loss_seg: 0.1033 (0.1175) loss_lansim: 0.0883 (0.0982) loss_contra: 0.0016 (0.0112) time: 2.9223 data: 0.0057 max mem: 31630 Epoch: [10] [1050/5278] eta: 3:25:05 lr: 3.8363840881076675e-05 loss: 0.1028 (0.1185) loss_seg: 0.1019 (0.1174) loss_lansim: 0.0875 (0.0981) loss_contra: 0.0018 (0.0111) time: 2.9222 data: 0.0057 max mem: 31630 Epoch: [10] [1060/5278] eta: 3:24:36 lr: 3.836164571380156e-05 loss: 0.1055 (0.1185) loss_seg: 0.1038 (0.1174) loss_lansim: 0.0871 (0.0979) loss_contra: 0.0021 (0.0111) time: 2.9177 data: 0.0057 max mem: 31630 Epoch: [10] [1070/5278] eta: 3:24:07 lr: 3.835945053256924e-05 loss: 0.1034 (0.1183) loss_seg: 0.1025 (0.1172) loss_lansim: 0.0846 (0.0978) loss_contra: 0.0023 (0.0110) time: 2.9196 data: 0.0057 max mem: 31630 Epoch: [10] [1080/5278] eta: 3:23:38 lr: 3.835725533737876e-05 loss: 0.1047 (0.1182) loss_seg: 0.1033 (0.1171) loss_lansim: 0.0838 (0.0976) loss_contra: 0.0025 (0.0110) time: 2.9143 data: 0.0056 max mem: 31630 Epoch: [10] [1090/5278] eta: 3:23:08 lr: 3.835506012822912e-05 loss: 0.1047 (0.1180) loss_seg: 0.1033 (0.1170) loss_lansim: 0.0831 (0.0975) loss_contra: 0.0025 (0.0112) time: 2.9094 data: 0.0057 max mem: 31630 Epoch: [10] [1100/5278] eta: 3:22:38 lr: 3.835286490511935e-05 loss: 0.1016 (0.1179) loss_seg: 0.1006 (0.1168) loss_lansim: 0.0828 (0.0974) loss_contra: 0.0023 (0.0111) time: 2.9123 data: 0.0056 max mem: 31630 Epoch: [10] [1110/5278] eta: 3:22:10 lr: 3.835066966804848e-05 loss: 0.1016 (0.1181) loss_seg: 0.1006 (0.1170) loss_lansim: 0.0821 (0.0973) loss_contra: 0.0025 (0.0110) time: 2.9133 data: 0.0056 max mem: 31630 Epoch: [10] [1120/5278] eta: 3:21:40 lr: 3.8348474417015526e-05 loss: 0.1036 (0.1180) loss_seg: 0.1028 (0.1169) loss_lansim: 0.0830 (0.0973) loss_contra: 0.0019 (0.0110) time: 2.9072 data: 0.0056 max mem: 31630 Epoch: [10] [1130/5278] eta: 3:21:11 lr: 3.834627915201952e-05 loss: 0.1036 (0.1180) loss_seg: 0.1027 (0.1169) loss_lansim: 0.0830 (0.0972) loss_contra: 0.0016 (0.0110) time: 2.9089 data: 0.0056 max mem: 31630 Epoch: [10] [1140/5278] eta: 3:20:43 lr: 3.834408387305947e-05 loss: 0.1036 (0.1180) loss_seg: 0.1027 (0.1169) loss_lansim: 0.0831 (0.0971) loss_contra: 0.0015 (0.0109) time: 2.9130 data: 0.0056 max mem: 31630 Epoch: [10] [1150/5278] eta: 3:20:13 lr: 3.834188858013442e-05 loss: 0.1036 (0.1179) loss_seg: 0.1028 (0.1168) loss_lansim: 0.0836 (0.0970) loss_contra: 0.0015 (0.0109) time: 2.9062 data: 0.0056 max mem: 31630 Epoch: [10] [1160/5278] eta: 3:19:44 lr: 3.833969327324337e-05 loss: 0.1019 (0.1181) loss_seg: 0.1008 (0.1170) loss_lansim: 0.0850 (0.0970) loss_contra: 0.0013 (0.0109) time: 2.9088 data: 0.0056 max mem: 31630 Epoch: [10] [1170/5278] eta: 3:19:17 lr: 3.8337497952385355e-05 loss: 0.1036 (0.1181) loss_seg: 0.1028 (0.1170) loss_lansim: 0.0863 (0.0969) loss_contra: 0.0014 (0.0109) time: 2.9139 data: 0.0057 max mem: 31630 Epoch: [10] [1180/5278] eta: 3:18:47 lr: 3.83353026175594e-05 loss: 0.1040 (0.1182) loss_seg: 0.1031 (0.1171) loss_lansim: 0.0869 (0.0968) loss_contra: 0.0011 (0.0108) time: 2.9120 data: 0.0057 max mem: 31630 Epoch: [10] [1190/5278] eta: 3:18:19 lr: 3.833310726876452e-05 loss: 0.1036 (0.1180) loss_seg: 0.1028 (0.1169) loss_lansim: 0.0873 (0.0967) loss_contra: 0.0011 (0.0110) time: 2.9180 data: 0.0057 max mem: 31630 Epoch: [10] [1200/5278] eta: 3:17:51 lr: 3.8330911905999735e-05 loss: 0.1052 (0.1181) loss_seg: 0.1044 (0.1170) loss_lansim: 0.0875 (0.0967) loss_contra: 0.0012 (0.0109) time: 2.9226 data: 0.0057 max mem: 31630 Epoch: [10] [1210/5278] eta: 3:17:22 lr: 3.832871652926408e-05 loss: 0.1040 (0.1181) loss_seg: 0.1031 (0.1170) loss_lansim: 0.0882 (0.0966) loss_contra: 0.0013 (0.0109) time: 2.9203 data: 0.0057 max mem: 31630 Epoch: [10] [1220/5278] eta: 3:16:53 lr: 3.832652113855656e-05 loss: 0.1052 (0.1182) loss_seg: 0.1044 (0.1171) loss_lansim: 0.0888 (0.0966) loss_contra: 0.0015 (0.0110) time: 2.9223 data: 0.0057 max mem: 31630 Epoch: [10] [1230/5278] eta: 3:16:23 lr: 3.832432573387621e-05 loss: 0.1054 (0.1182) loss_seg: 0.1046 (0.1172) loss_lansim: 0.0888 (0.0965) loss_contra: 0.0019 (0.0112) time: 2.9211 data: 0.0057 max mem: 31630 Epoch: [10] [1240/5278] eta: 3:15:55 lr: 3.8322130315222063e-05 loss: 0.1049 (0.1181) loss_seg: 0.1039 (0.1170) loss_lansim: 0.0876 (0.0964) loss_contra: 0.0019 (0.0111) time: 2.9223 data: 0.0057 max mem: 31630 Epoch: [10] [1250/5278] eta: 3:15:27 lr: 3.83199348825931e-05 loss: 0.1052 (0.1182) loss_seg: 0.1044 (0.1172) loss_lansim: 0.0876 (0.0963) loss_contra: 0.0019 (0.0111) time: 2.9275 data: 0.0057 max mem: 31630 Epoch: [10] [1260/5278] eta: 3:14:57 lr: 3.831773943598839e-05 loss: 0.1073 (0.1184) loss_seg: 0.1061 (0.1173) loss_lansim: 0.0870 (0.0963) loss_contra: 0.0019 (0.0113) time: 2.9234 data: 0.0057 max mem: 31630 Epoch: [10] [1270/5278] eta: 3:14:29 lr: 3.831554397540692e-05 loss: 0.1087 (0.1186) loss_seg: 0.1079 (0.1175) loss_lansim: 0.0862 (0.0962) loss_contra: 0.0015 (0.0115) time: 2.9212 data: 0.0058 max mem: 31630 Epoch: [10] [1280/5278] eta: 3:14:01 lr: 3.8313348500847725e-05 loss: 0.1130 (0.1189) loss_seg: 0.1122 (0.1178) loss_lansim: 0.0861 (0.0961) loss_contra: 0.0017 (0.0114) time: 2.9253 data: 0.0058 max mem: 31630 Epoch: [10] [1290/5278] eta: 3:13:31 lr: 3.831115301230983e-05 loss: 0.1197 (0.1189) loss_seg: 0.1189 (0.1178) loss_lansim: 0.0855 (0.0960) loss_contra: 0.0020 (0.0114) time: 2.9194 data: 0.0058 max mem: 31630 Epoch: [10] [1300/5278] eta: 3:13:03 lr: 3.8308957509792245e-05 loss: 0.1172 (0.1189) loss_seg: 0.1163 (0.1179) loss_lansim: 0.0855 (0.0960) loss_contra: 0.0020 (0.0114) time: 2.9207 data: 0.0058 max mem: 31630 Epoch: [10] [1310/5278] eta: 3:12:35 lr: 3.830676199329399e-05 loss: 0.1146 (0.1189) loss_seg: 0.1135 (0.1178) loss_lansim: 0.0855 (0.0959) loss_contra: 0.0021 (0.0113) time: 2.9245 data: 0.0058 max mem: 31630 Epoch: [10] [1320/5278] eta: 3:12:04 lr: 3.8304566462814106e-05 loss: 0.1141 (0.1187) loss_seg: 0.1133 (0.1177) loss_lansim: 0.0851 (0.0958) loss_contra: 0.0020 (0.0113) time: 2.9185 data: 0.0058 max mem: 31630 Epoch: [10] [1330/5278] eta: 3:11:36 lr: 3.830237091835158e-05 loss: 0.1122 (0.1186) loss_seg: 0.1114 (0.1175) loss_lansim: 0.0838 (0.0957) loss_contra: 0.0014 (0.0113) time: 2.9224 data: 0.0058 max mem: 31630 Epoch: [10] [1340/5278] eta: 3:11:06 lr: 3.830017535990547e-05 loss: 0.1130 (0.1185) loss_seg: 0.1122 (0.1174) loss_lansim: 0.0841 (0.0956) loss_contra: 0.0015 (0.0112) time: 2.9180 data: 0.0058 max mem: 31630 Epoch: [10] [1350/5278] eta: 3:10:38 lr: 3.829797978747477e-05 loss: 0.1113 (0.1184) loss_seg: 0.1098 (0.1173) loss_lansim: 0.0838 (0.0955) loss_contra: 0.0015 (0.0112) time: 2.9168 data: 0.0058 max mem: 31630 Epoch: [10] [1360/5278] eta: 3:10:09 lr: 3.8295784201058506e-05 loss: 0.1087 (0.1184) loss_seg: 0.1079 (0.1173) loss_lansim: 0.0822 (0.0954) loss_contra: 0.0015 (0.0111) time: 2.9215 data: 0.0057 max mem: 31630 Epoch: [10] [1370/5278] eta: 3:09:40 lr: 3.8293588600655704e-05 loss: 0.1075 (0.1183) loss_seg: 0.1063 (0.1172) loss_lansim: 0.0813 (0.0952) loss_contra: 0.0015 (0.0111) time: 2.9206 data: 0.0056 max mem: 31630 Epoch: [10] [1380/5278] eta: 3:09:11 lr: 3.829139298626537e-05 loss: 0.1027 (0.1182) loss_seg: 0.1019 (0.1172) loss_lansim: 0.0810 (0.0951) loss_contra: 0.0015 (0.0111) time: 2.9160 data: 0.0056 max mem: 31630 Epoch: [10] [1390/5278] eta: 3:08:42 lr: 3.828919735788655e-05 loss: 0.1027 (0.1182) loss_seg: 0.1019 (0.1171) loss_lansim: 0.0800 (0.0950) loss_contra: 0.0015 (0.0110) time: 2.9217 data: 0.0056 max mem: 31630 Epoch: [10] [1400/5278] eta: 3:08:15 lr: 3.828700171551823e-05 loss: 0.1018 (0.1181) loss_seg: 0.1010 (0.1171) loss_lansim: 0.0792 (0.0949) loss_contra: 0.0015 (0.0110) time: 2.9226 data: 0.0056 max mem: 31630 Epoch: [10] [1410/5278] eta: 3:07:45 lr: 3.828480605915945e-05 loss: 0.1047 (0.1183) loss_seg: 0.1038 (0.1173) loss_lansim: 0.0784 (0.0948) loss_contra: 0.0013 (0.0109) time: 2.9162 data: 0.0056 max mem: 31630 Epoch: [10] [1420/5278] eta: 3:07:16 lr: 3.828261038880924e-05 loss: 0.1075 (0.1183) loss_seg: 0.1063 (0.1172) loss_lansim: 0.0780 (0.0946) loss_contra: 0.0011 (0.0109) time: 2.9218 data: 0.0055 max mem: 31630 Epoch: [10] [1430/5278] eta: 3:06:48 lr: 3.828041470446659e-05 loss: 0.1087 (0.1182) loss_seg: 0.1078 (0.1172) loss_lansim: 0.0797 (0.0945) loss_contra: 0.0011 (0.0108) time: 2.9239 data: 0.0055 max mem: 31630 Epoch: [10] [1440/5278] eta: 3:06:19 lr: 3.827821900613054e-05 loss: 0.1098 (0.1182) loss_seg: 0.1090 (0.1171) loss_lansim: 0.0780 (0.0944) loss_contra: 0.0011 (0.0108) time: 2.9260 data: 0.0055 max mem: 31630 Epoch: [10] [1450/5278] eta: 3:05:49 lr: 3.82760232938001e-05 loss: 0.1103 (0.1181) loss_seg: 0.1095 (0.1171) loss_lansim: 0.0783 (0.0944) loss_contra: 0.0011 (0.0108) time: 2.9221 data: 0.0055 max mem: 31630 Epoch: [10] [1460/5278] eta: 3:05:20 lr: 3.827382756747429e-05 loss: 0.1114 (0.1181) loss_seg: 0.1104 (0.1171) loss_lansim: 0.0794 (0.0943) loss_contra: 0.0011 (0.0108) time: 2.9197 data: 0.0055 max mem: 31630 Epoch: [10] [1470/5278] eta: 3:04:51 lr: 3.8271631827152135e-05 loss: 0.1114 (0.1182) loss_seg: 0.1104 (0.1171) loss_lansim: 0.0802 (0.0941) loss_contra: 0.0011 (0.0108) time: 2.9192 data: 0.0055 max mem: 31630 Epoch: [10] [1480/5278] eta: 3:04:22 lr: 3.826943607283265e-05 loss: 0.1117 (0.1181) loss_seg: 0.1108 (0.1170) loss_lansim: 0.0794 (0.0940) loss_contra: 0.0011 (0.0108) time: 2.9216 data: 0.0055 max mem: 31630 Epoch: [10] [1490/5278] eta: 3:03:52 lr: 3.8267240304514844e-05 loss: 0.1117 (0.1182) loss_seg: 0.1108 (0.1171) loss_lansim: 0.0794 (0.0939) loss_contra: 0.0011 (0.0107) time: 2.9158 data: 0.0055 max mem: 31630 Epoch: [10] [1500/5278] eta: 3:03:22 lr: 3.826504452219776e-05 loss: 0.1115 (0.1181) loss_seg: 0.1108 (0.1170) loss_lansim: 0.0779 (0.0938) loss_contra: 0.0008 (0.0107) time: 2.9074 data: 0.0056 max mem: 31630 Epoch: [10] [1510/5278] eta: 3:02:52 lr: 3.826284872588038e-05 loss: 0.1100 (0.1181) loss_seg: 0.1091 (0.1171) loss_lansim: 0.0779 (0.0937) loss_contra: 0.0009 (0.0106) time: 2.9069 data: 0.0056 max mem: 31630 Epoch: [10] [1520/5278] eta: 3:02:23 lr: 3.826065291556175e-05 loss: 0.1100 (0.1181) loss_seg: 0.1091 (0.1171) loss_lansim: 0.0783 (0.0936) loss_contra: 0.0010 (0.0106) time: 2.9052 data: 0.0057 max mem: 31630 Epoch: [10] [1530/5278] eta: 3:01:53 lr: 3.825845709124089e-05 loss: 0.1099 (0.1181) loss_seg: 0.1090 (0.1170) loss_lansim: 0.0783 (0.0936) loss_contra: 0.0010 (0.0106) time: 2.8996 data: 0.0057 max mem: 31630 Epoch: [10] [1540/5278] eta: 3:01:23 lr: 3.825626125291679e-05 loss: 0.1095 (0.1181) loss_seg: 0.1087 (0.1170) loss_lansim: 0.0793 (0.0935) loss_contra: 0.0010 (0.0105) time: 2.8945 data: 0.0057 max mem: 31630 Epoch: [10] [1550/5278] eta: 3:00:53 lr: 3.82540654005885e-05 loss: 0.1077 (0.1182) loss_seg: 0.1068 (0.1172) loss_lansim: 0.0790 (0.0934) loss_contra: 0.0009 (0.0105) time: 2.8915 data: 0.0058 max mem: 31630 Epoch: [10] [1560/5278] eta: 3:00:23 lr: 3.8251869534255014e-05 loss: 0.1055 (0.1182) loss_seg: 0.1044 (0.1172) loss_lansim: 0.0781 (0.0933) loss_contra: 0.0009 (0.0104) time: 2.8916 data: 0.0058 max mem: 31630 Epoch: [10] [1570/5278] eta: 2:59:53 lr: 3.824967365391536e-05 loss: 0.1071 (0.1183) loss_seg: 0.1063 (0.1172) loss_lansim: 0.0782 (0.0932) loss_contra: 0.0009 (0.0104) time: 2.8857 data: 0.0059 max mem: 31630 Epoch: [10] [1580/5278] eta: 2:59:24 lr: 3.824747775956855e-05 loss: 0.1095 (0.1185) loss_seg: 0.1087 (0.1175) loss_lansim: 0.0790 (0.0931) loss_contra: 0.0009 (0.0104) time: 2.8850 data: 0.0059 max mem: 31630 Epoch: [10] [1590/5278] eta: 2:58:55 lr: 3.824528185121361e-05 loss: 0.1127 (0.1187) loss_seg: 0.1118 (0.1177) loss_lansim: 0.0793 (0.0931) loss_contra: 0.0009 (0.0103) time: 2.8863 data: 0.0058 max mem: 31630 Epoch: [10] [1600/5278] eta: 2:58:25 lr: 3.8243085928849546e-05 loss: 0.1144 (0.1186) loss_seg: 0.1135 (0.1176) loss_lansim: 0.0797 (0.0930) loss_contra: 0.0010 (0.0103) time: 2.8851 data: 0.0058 max mem: 31630 Epoch: [10] [1610/5278] eta: 2:57:56 lr: 3.824088999247539e-05 loss: 0.1164 (0.1188) loss_seg: 0.1153 (0.1177) loss_lansim: 0.0797 (0.0929) loss_contra: 0.0011 (0.0103) time: 2.8879 data: 0.0057 max mem: 31630 Epoch: [10] [1620/5278] eta: 2:57:27 lr: 3.823869404209013e-05 loss: 0.1164 (0.1188) loss_seg: 0.1157 (0.1177) loss_lansim: 0.0790 (0.0928) loss_contra: 0.0010 (0.0103) time: 2.8925 data: 0.0057 max mem: 31630 Epoch: [10] [1630/5278] eta: 2:56:58 lr: 3.8236498077692816e-05 loss: 0.1171 (0.1188) loss_seg: 0.1163 (0.1177) loss_lansim: 0.0789 (0.0927) loss_contra: 0.0010 (0.0102) time: 2.8962 data: 0.0058 max mem: 31630 Epoch: [10] [1640/5278] eta: 2:56:29 lr: 3.8234302099282446e-05 loss: 0.1194 (0.1188) loss_seg: 0.1186 (0.1177) loss_lansim: 0.0785 (0.0926) loss_contra: 0.0011 (0.0104) time: 2.8986 data: 0.0058 max mem: 31630 Epoch: [10] [1650/5278] eta: 2:56:00 lr: 3.823210610685804e-05 loss: 0.1204 (0.1190) loss_seg: 0.1195 (0.1179) loss_lansim: 0.0785 (0.0925) loss_contra: 0.0011 (0.0104) time: 2.9039 data: 0.0057 max mem: 31630 Epoch: [10] [1660/5278] eta: 2:55:32 lr: 3.822991010041862e-05 loss: 0.1217 (0.1189) loss_seg: 0.1208 (0.1179) loss_lansim: 0.0776 (0.0924) loss_contra: 0.0011 (0.0104) time: 2.9087 data: 0.0058 max mem: 31630 Epoch: [10] [1670/5278] eta: 2:55:03 lr: 3.822771407996319e-05 loss: 0.1236 (0.1191) loss_seg: 0.1227 (0.1180) loss_lansim: 0.0776 (0.0923) loss_contra: 0.0016 (0.0103) time: 2.9129 data: 0.0058 max mem: 31630 Epoch: [10] [1680/5278] eta: 2:54:33 lr: 3.822551804549077e-05 loss: 0.1219 (0.1190) loss_seg: 0.1211 (0.1180) loss_lansim: 0.0771 (0.0922) loss_contra: 0.0015 (0.0103) time: 2.9113 data: 0.0058 max mem: 31630 Epoch: [10] [1690/5278] eta: 2:54:04 lr: 3.822332199700038e-05 loss: 0.1164 (0.1189) loss_seg: 0.1153 (0.1179) loss_lansim: 0.0766 (0.0921) loss_contra: 0.0014 (0.0105) time: 2.9141 data: 0.0058 max mem: 31630 Epoch: [10] [1700/5278] eta: 2:53:35 lr: 3.822112593449103e-05 loss: 0.1171 (0.1189) loss_seg: 0.1157 (0.1179) loss_lansim: 0.0752 (0.0920) loss_contra: 0.0011 (0.0104) time: 2.9166 data: 0.0058 max mem: 31630 Epoch: [10] [1710/5278] eta: 2:53:06 lr: 3.8218929857961746e-05 loss: 0.1163 (0.1190) loss_seg: 0.1143 (0.1180) loss_lansim: 0.0741 (0.0919) loss_contra: 0.0011 (0.0104) time: 2.9182 data: 0.0058 max mem: 31630 Epoch: [10] [1720/5278] eta: 2:52:37 lr: 3.821673376741154e-05 loss: 0.1141 (0.1190) loss_seg: 0.1130 (0.1180) loss_lansim: 0.0745 (0.0918) loss_contra: 0.0013 (0.0104) time: 2.9157 data: 0.0058 max mem: 31630 Epoch: [10] [1730/5278] eta: 2:52:08 lr: 3.821453766283941e-05 loss: 0.1134 (0.1190) loss_seg: 0.1127 (0.1180) loss_lansim: 0.0743 (0.0917) loss_contra: 0.0014 (0.0104) time: 2.9160 data: 0.0058 max mem: 31630 Epoch: [10] [1740/5278] eta: 2:51:39 lr: 3.8212341544244404e-05 loss: 0.1098 (0.1190) loss_seg: 0.1090 (0.1180) loss_lansim: 0.0747 (0.0917) loss_contra: 0.0015 (0.0104) time: 2.9177 data: 0.0058 max mem: 31630 Epoch: [10] [1750/5278] eta: 2:51:11 lr: 3.82101454116255e-05 loss: 0.1083 (0.1189) loss_seg: 0.1069 (0.1178) loss_lansim: 0.0752 (0.0916) loss_contra: 0.0015 (0.0104) time: 2.9190 data: 0.0058 max mem: 31630 Epoch: [10] [1760/5278] eta: 2:50:42 lr: 3.820794926498174e-05 loss: 0.1088 (0.1189) loss_seg: 0.1078 (0.1179) loss_lansim: 0.0774 (0.0916) loss_contra: 0.0018 (0.0104) time: 2.9198 data: 0.0057 max mem: 31630 Epoch: [10] [1770/5278] eta: 2:50:13 lr: 3.8205753104312125e-05 loss: 0.1088 (0.1190) loss_seg: 0.1078 (0.1180) loss_lansim: 0.0784 (0.0916) loss_contra: 0.0016 (0.0103) time: 2.9195 data: 0.0057 max mem: 31630 Epoch: [10] [1780/5278] eta: 2:49:44 lr: 3.820355692961567e-05 loss: 0.1088 (0.1191) loss_seg: 0.1078 (0.1181) loss_lansim: 0.0792 (0.0916) loss_contra: 0.0016 (0.0103) time: 2.9200 data: 0.0057 max mem: 31630 Epoch: [10] [1790/5278] eta: 2:49:15 lr: 3.8201360740891405e-05 loss: 0.1138 (0.1191) loss_seg: 0.1130 (0.1181) loss_lansim: 0.0810 (0.0916) loss_contra: 0.0016 (0.0103) time: 2.9216 data: 0.0057 max mem: 31630 Epoch: [10] [1800/5278] eta: 2:48:46 lr: 3.819916453813833e-05 loss: 0.1140 (0.1192) loss_seg: 0.1130 (0.1181) loss_lansim: 0.0815 (0.0915) loss_contra: 0.0020 (0.0103) time: 2.9237 data: 0.0057 max mem: 31630 Epoch: [10] [1810/5278] eta: 2:48:17 lr: 3.819696832135545e-05 loss: 0.1147 (0.1193) loss_seg: 0.1138 (0.1183) loss_lansim: 0.0835 (0.0915) loss_contra: 0.0016 (0.0103) time: 2.9216 data: 0.0057 max mem: 31630 Epoch: [10] [1820/5278] eta: 2:47:48 lr: 3.819477209054181e-05 loss: 0.1157 (0.1193) loss_seg: 0.1149 (0.1183) loss_lansim: 0.0826 (0.0914) loss_contra: 0.0015 (0.0102) time: 2.9231 data: 0.0057 max mem: 31630 Epoch: [10] [1830/5278] eta: 2:47:20 lr: 3.8192575845696386e-05 loss: 0.1177 (0.1194) loss_seg: 0.1169 (0.1183) loss_lansim: 0.0859 (0.0914) loss_contra: 0.0013 (0.0102) time: 2.9265 data: 0.0057 max mem: 31630 Epoch: [10] [1840/5278] eta: 2:46:51 lr: 3.819037958681823e-05 loss: 0.1213 (0.1194) loss_seg: 0.1203 (0.1184) loss_lansim: 0.0850 (0.0914) loss_contra: 0.0013 (0.0101) time: 2.9276 data: 0.0057 max mem: 31630 Epoch: [10] [1850/5278] eta: 2:46:22 lr: 3.818818331390632e-05 loss: 0.1241 (0.1194) loss_seg: 0.1231 (0.1183) loss_lansim: 0.0860 (0.0913) loss_contra: 0.0013 (0.0101) time: 2.9244 data: 0.0057 max mem: 31630 Epoch: [10] [1860/5278] eta: 2:45:53 lr: 3.818598702695969e-05 loss: 0.1241 (0.1194) loss_seg: 0.1231 (0.1183) loss_lansim: 0.0845 (0.0913) loss_contra: 0.0011 (0.0101) time: 2.9227 data: 0.0057 max mem: 31630 Epoch: [10] [1870/5278] eta: 2:45:24 lr: 3.8183790725977354e-05 loss: 0.1169 (0.1193) loss_seg: 0.1160 (0.1183) loss_lansim: 0.0825 (0.0912) loss_contra: 0.0009 (0.0100) time: 2.9237 data: 0.0057 max mem: 31630 Epoch: [10] [1880/5278] eta: 2:44:55 lr: 3.818159441095832e-05 loss: 0.1153 (0.1192) loss_seg: 0.1143 (0.1182) loss_lansim: 0.0804 (0.0912) loss_contra: 0.0009 (0.0100) time: 2.9252 data: 0.0057 max mem: 31630 Epoch: [10] [1890/5278] eta: 2:44:26 lr: 3.81793980819016e-05 loss: 0.1118 (0.1192) loss_seg: 0.1111 (0.1182) loss_lansim: 0.0797 (0.0911) loss_contra: 0.0009 (0.0099) time: 2.9236 data: 0.0057 max mem: 31630 Epoch: [10] [1900/5278] eta: 2:43:58 lr: 3.817720173880621e-05 loss: 0.1123 (0.1192) loss_seg: 0.1114 (0.1182) loss_lansim: 0.0820 (0.0911) loss_contra: 0.0008 (0.0099) time: 2.9275 data: 0.0057 max mem: 31630 Epoch: [10] [1910/5278] eta: 2:43:29 lr: 3.8175005381671155e-05 loss: 0.1123 (0.1193) loss_seg: 0.1114 (0.1183) loss_lansim: 0.0823 (0.0911) loss_contra: 0.0006 (0.0098) time: 2.9267 data: 0.0057 max mem: 31630 Epoch: [10] [1920/5278] eta: 2:42:59 lr: 3.817280901049546e-05 loss: 0.1118 (0.1194) loss_seg: 0.1111 (0.1184) loss_lansim: 0.0828 (0.0911) loss_contra: 0.0007 (0.0098) time: 2.9241 data: 0.0057 max mem: 31630 Epoch: [10] [1930/5278] eta: 2:42:31 lr: 3.817061262527813e-05 loss: 0.1103 (0.1194) loss_seg: 0.1094 (0.1184) loss_lansim: 0.0825 (0.0910) loss_contra: 0.0006 (0.0098) time: 2.9243 data: 0.0057 max mem: 31630 Epoch: [10] [1940/5278] eta: 2:42:03 lr: 3.816841622601818e-05 loss: 0.1072 (0.1194) loss_seg: 0.1065 (0.1184) loss_lansim: 0.0827 (0.0910) loss_contra: 0.0005 (0.0098) time: 2.9260 data: 0.0057 max mem: 31630 Epoch: [10] [1950/5278] eta: 2:41:32 lr: 3.816621981271463e-05 loss: 0.1072 (0.1194) loss_seg: 0.1061 (0.1183) loss_lansim: 0.0827 (0.0910) loss_contra: 0.0006 (0.0099) time: 2.9219 data: 0.0058 max mem: 31630 Epoch: [10] [1960/5278] eta: 2:41:04 lr: 3.816402338536647e-05 loss: 0.1081 (0.1195) loss_seg: 0.1065 (0.1185) loss_lansim: 0.0827 (0.0909) loss_contra: 0.0008 (0.0100) time: 2.9223 data: 0.0057 max mem: 31630 Epoch: [10] [1970/5278] eta: 2:40:35 lr: 3.816182694397273e-05 loss: 0.1097 (0.1196) loss_seg: 0.1089 (0.1186) loss_lansim: 0.0829 (0.0909) loss_contra: 0.0008 (0.0100) time: 2.9247 data: 0.0057 max mem: 31630 Epoch: [10] [1980/5278] eta: 2:40:06 lr: 3.815963048853243e-05 loss: 0.1134 (0.1197) loss_seg: 0.1106 (0.1187) loss_lansim: 0.0843 (0.0908) loss_contra: 0.0008 (0.0101) time: 2.9261 data: 0.0057 max mem: 31630 Epoch: [10] [1990/5278] eta: 2:39:36 lr: 3.8157434019044555e-05 loss: 0.1140 (0.1198) loss_seg: 0.1131 (0.1188) loss_lansim: 0.0843 (0.0908) loss_contra: 0.0009 (0.0101) time: 2.9201 data: 0.0057 max mem: 31630 Epoch: [10] [2000/5278] eta: 2:39:08 lr: 3.8155237535508146e-05 loss: 0.1140 (0.1198) loss_seg: 0.1131 (0.1188) loss_lansim: 0.0843 (0.0908) loss_contra: 0.0010 (0.0100) time: 2.9220 data: 0.0057 max mem: 31630 Epoch: [10] [2010/5278] eta: 2:38:39 lr: 3.8153041037922184e-05 loss: 0.1148 (0.1199) loss_seg: 0.1140 (0.1189) loss_lansim: 0.0840 (0.0908) loss_contra: 0.0012 (0.0100) time: 2.9251 data: 0.0057 max mem: 31630 Epoch: [10] [2020/5278] eta: 2:38:10 lr: 3.81508445262857e-05 loss: 0.1148 (0.1200) loss_seg: 0.1140 (0.1190) loss_lansim: 0.0840 (0.0907) loss_contra: 0.0012 (0.0100) time: 2.9263 data: 0.0057 max mem: 31630 Epoch: [10] [2030/5278] eta: 2:37:41 lr: 3.8148648000597714e-05 loss: 0.1217 (0.1200) loss_seg: 0.1207 (0.1190) loss_lansim: 0.0849 (0.0907) loss_contra: 0.0015 (0.0100) time: 2.9182 data: 0.0057 max mem: 31630 Epoch: [10] [2040/5278] eta: 2:37:12 lr: 3.814645146085721e-05 loss: 0.1221 (0.1200) loss_seg: 0.1212 (0.1190) loss_lansim: 0.0844 (0.0907) loss_contra: 0.0016 (0.0100) time: 2.9181 data: 0.0058 max mem: 31630 Epoch: [10] [2050/5278] eta: 2:36:43 lr: 3.8144254907063223e-05 loss: 0.1221 (0.1200) loss_seg: 0.1212 (0.1190) loss_lansim: 0.0841 (0.0907) loss_contra: 0.0016 (0.0100) time: 2.9250 data: 0.0057 max mem: 31630 Epoch: [10] [2060/5278] eta: 2:36:13 lr: 3.814205833921475e-05 loss: 0.1220 (0.1200) loss_seg: 0.1209 (0.1190) loss_lansim: 0.0849 (0.0906) loss_contra: 0.0015 (0.0100) time: 2.9174 data: 0.0057 max mem: 31630 Epoch: [10] [2070/5278] eta: 2:35:44 lr: 3.813986175731081e-05 loss: 0.1221 (0.1200) loss_seg: 0.1212 (0.1190) loss_lansim: 0.0859 (0.0906) loss_contra: 0.0016 (0.0100) time: 2.9148 data: 0.0057 max mem: 31630 Epoch: [10] [2080/5278] eta: 2:35:16 lr: 3.813766516135041e-05 loss: 0.1220 (0.1201) loss_seg: 0.1209 (0.1191) loss_lansim: 0.0854 (0.0906) loss_contra: 0.0016 (0.0100) time: 2.9197 data: 0.0057 max mem: 31630 Epoch: [10] [2090/5278] eta: 2:34:47 lr: 3.813546855133255e-05 loss: 0.1190 (0.1200) loss_seg: 0.1181 (0.1190) loss_lansim: 0.0855 (0.0906) loss_contra: 0.0015 (0.0099) time: 2.9225 data: 0.0057 max mem: 31630 Epoch: [10] [2100/5278] eta: 2:34:17 lr: 3.813327192725626e-05 loss: 0.1146 (0.1199) loss_seg: 0.1137 (0.1189) loss_lansim: 0.0849 (0.0906) loss_contra: 0.0016 (0.0099) time: 2.9139 data: 0.0058 max mem: 31630 Epoch: [10] [2110/5278] eta: 2:33:49 lr: 3.813107528912055e-05 loss: 0.1117 (0.1198) loss_seg: 0.1107 (0.1188) loss_lansim: 0.0852 (0.0905) loss_contra: 0.0015 (0.0099) time: 2.9164 data: 0.0058 max mem: 31630 Epoch: [10] [2120/5278] eta: 2:33:20 lr: 3.8128878636924405e-05 loss: 0.1091 (0.1197) loss_seg: 0.1080 (0.1187) loss_lansim: 0.0854 (0.0905) loss_contra: 0.0015 (0.0099) time: 2.9199 data: 0.0057 max mem: 31630 Epoch: [10] [2130/5278] eta: 2:32:51 lr: 3.812668197066686e-05 loss: 0.1072 (0.1197) loss_seg: 0.1064 (0.1187) loss_lansim: 0.0852 (0.0905) loss_contra: 0.0015 (0.0099) time: 2.9208 data: 0.0057 max mem: 31630 Epoch: [10] [2140/5278] eta: 2:32:21 lr: 3.812448529034691e-05 loss: 0.1026 (0.1198) loss_seg: 0.1017 (0.1188) loss_lansim: 0.0852 (0.0905) loss_contra: 0.0012 (0.0099) time: 2.9179 data: 0.0057 max mem: 31630 Epoch: [10] [2150/5278] eta: 2:31:53 lr: 3.812228859596358e-05 loss: 0.1015 (0.1198) loss_seg: 0.1006 (0.1188) loss_lansim: 0.0856 (0.0905) loss_contra: 0.0014 (0.0099) time: 2.9215 data: 0.0057 max mem: 31630 Epoch: [10] [2160/5278] eta: 2:31:24 lr: 3.812009188751587e-05 loss: 0.1068 (0.1198) loss_seg: 0.1058 (0.1188) loss_lansim: 0.0856 (0.0905) loss_contra: 0.0015 (0.0099) time: 2.9288 data: 0.0057 max mem: 31630 Epoch: [10] [2170/5278] eta: 2:30:55 lr: 3.811789516500278e-05 loss: 0.1068 (0.1198) loss_seg: 0.1058 (0.1188) loss_lansim: 0.0869 (0.0905) loss_contra: 0.0011 (0.0098) time: 2.9243 data: 0.0057 max mem: 31630 Epoch: [10] [2180/5278] eta: 2:30:26 lr: 3.811569842842333e-05 loss: 0.1077 (0.1199) loss_seg: 0.1068 (0.1189) loss_lansim: 0.0872 (0.0905) loss_contra: 0.0010 (0.0098) time: 2.9202 data: 0.0057 max mem: 31630 Epoch: [10] [2190/5278] eta: 2:29:57 lr: 3.8113501677776536e-05 loss: 0.1097 (0.1199) loss_seg: 0.1087 (0.1189) loss_lansim: 0.0875 (0.0905) loss_contra: 0.0011 (0.0098) time: 2.9258 data: 0.0057 max mem: 31630 Epoch: [10] [2200/5278] eta: 2:29:28 lr: 3.811130491306139e-05 loss: 0.1140 (0.1200) loss_seg: 0.1131 (0.1190) loss_lansim: 0.0887 (0.0905) loss_contra: 0.0011 (0.0098) time: 2.9270 data: 0.0057 max mem: 31630 Epoch: [10] [2210/5278] eta: 2:28:59 lr: 3.8109108134276914e-05 loss: 0.1143 (0.1200) loss_seg: 0.1132 (0.1190) loss_lansim: 0.0896 (0.0905) loss_contra: 0.0011 (0.0097) time: 2.9256 data: 0.0057 max mem: 31630 Epoch: [10] [2220/5278] eta: 2:28:30 lr: 3.810691134142211e-05 loss: 0.1172 (0.1201) loss_seg: 0.1161 (0.1191) loss_lansim: 0.0887 (0.0905) loss_contra: 0.0011 (0.0097) time: 2.9210 data: 0.0057 max mem: 31630 Epoch: [10] [2230/5278] eta: 2:28:01 lr: 3.8104714534496e-05 loss: 0.1172 (0.1201) loss_seg: 0.1161 (0.1191) loss_lansim: 0.0895 (0.0905) loss_contra: 0.0011 (0.0097) time: 2.9231 data: 0.0056 max mem: 31630 Epoch: [10] [2240/5278] eta: 2:27:31 lr: 3.8102517713497576e-05 loss: 0.1190 (0.1202) loss_seg: 0.1181 (0.1192) loss_lansim: 0.0897 (0.0905) loss_contra: 0.0014 (0.0097) time: 2.9212 data: 0.0056 max mem: 31630 Epoch: [10] [2250/5278] eta: 2:27:02 lr: 3.8100320878425845e-05 loss: 0.1173 (0.1201) loss_seg: 0.1163 (0.1191) loss_lansim: 0.0899 (0.0905) loss_contra: 0.0014 (0.0097) time: 2.9187 data: 0.0056 max mem: 31630 Epoch: [10] [2260/5278] eta: 2:26:33 lr: 3.809812402927983e-05 loss: 0.1173 (0.1202) loss_seg: 0.1163 (0.1192) loss_lansim: 0.0899 (0.0905) loss_contra: 0.0011 (0.0097) time: 2.9180 data: 0.0056 max mem: 31630 Epoch: [10] [2270/5278] eta: 2:26:05 lr: 3.809592716605853e-05 loss: 0.1172 (0.1201) loss_seg: 0.1161 (0.1191) loss_lansim: 0.0901 (0.0905) loss_contra: 0.0012 (0.0096) time: 2.9251 data: 0.0056 max mem: 31630 Epoch: [10] [2280/5278] eta: 2:25:35 lr: 3.809373028876095e-05 loss: 0.1173 (0.1202) loss_seg: 0.1163 (0.1192) loss_lansim: 0.0897 (0.0905) loss_contra: 0.0012 (0.0098) time: 2.9223 data: 0.0056 max mem: 31630 Epoch: [10] [2290/5278] eta: 2:25:06 lr: 3.809153339738611e-05 loss: 0.1124 (0.1202) loss_seg: 0.1115 (0.1192) loss_lansim: 0.0897 (0.0905) loss_contra: 0.0014 (0.0098) time: 2.9189 data: 0.0056 max mem: 31630 Epoch: [10] [2300/5278] eta: 2:24:38 lr: 3.8089336491933005e-05 loss: 0.1124 (0.1202) loss_seg: 0.1115 (0.1192) loss_lansim: 0.0897 (0.0906) loss_contra: 0.0012 (0.0098) time: 2.9246 data: 0.0056 max mem: 31630 Epoch: [10] [2310/5278] eta: 2:24:09 lr: 3.8087139572400644e-05 loss: 0.1118 (0.1202) loss_seg: 0.1106 (0.1192) loss_lansim: 0.0909 (0.0906) loss_contra: 0.0014 (0.0098) time: 2.9264 data: 0.0056 max mem: 31630 Epoch: [10] [2320/5278] eta: 2:23:40 lr: 3.808494263878805e-05 loss: 0.1118 (0.1203) loss_seg: 0.1106 (0.1193) loss_lansim: 0.0916 (0.0906) loss_contra: 0.0017 (0.0098) time: 2.9239 data: 0.0057 max mem: 31630 Epoch: [10] [2330/5278] eta: 2:23:10 lr: 3.80827456910942e-05 loss: 0.1109 (0.1203) loss_seg: 0.1101 (0.1193) loss_lansim: 0.0924 (0.0906) loss_contra: 0.0017 (0.0099) time: 2.9233 data: 0.0057 max mem: 31630 Epoch: [10] [2340/5278] eta: 2:22:42 lr: 3.8080548729318136e-05 loss: 0.1108 (0.1203) loss_seg: 0.1098 (0.1193) loss_lansim: 0.0926 (0.0907) loss_contra: 0.0020 (0.0099) time: 2.9301 data: 0.0057 max mem: 31630 Epoch: [10] [2350/5278] eta: 2:22:13 lr: 3.8078351753458836e-05 loss: 0.1164 (0.1205) loss_seg: 0.1152 (0.1195) loss_lansim: 0.0933 (0.0907) loss_contra: 0.0025 (0.0099) time: 2.9307 data: 0.0057 max mem: 31630 Epoch: [10] [2360/5278] eta: 2:21:43 lr: 3.807615476351532e-05 loss: 0.1162 (0.1205) loss_seg: 0.1151 (0.1195) loss_lansim: 0.0947 (0.0908) loss_contra: 0.0025 (0.0099) time: 2.9232 data: 0.0057 max mem: 31630 Epoch: [10] [2370/5278] eta: 2:21:15 lr: 3.807395775948661e-05 loss: 0.1197 (0.1205) loss_seg: 0.1177 (0.1195) loss_lansim: 0.0962 (0.0909) loss_contra: 0.0029 (0.0099) time: 2.9239 data: 0.0057 max mem: 31630 Epoch: [10] [2380/5278] eta: 2:20:45 lr: 3.807176074137168e-05 loss: 0.1162 (0.1205) loss_seg: 0.1151 (0.1195) loss_lansim: 0.0986 (0.0909) loss_contra: 0.0030 (0.0098) time: 2.9247 data: 0.0057 max mem: 31630 Epoch: [10] [2390/5278] eta: 2:20:16 lr: 3.806956370916956e-05 loss: 0.1156 (0.1205) loss_seg: 0.1146 (0.1195) loss_lansim: 0.0996 (0.0910) loss_contra: 0.0025 (0.0099) time: 2.9256 data: 0.0057 max mem: 31630 Epoch: [10] [2400/5278] eta: 2:19:47 lr: 3.806736666287925e-05 loss: 0.1172 (0.1205) loss_seg: 0.1157 (0.1195) loss_lansim: 0.1003 (0.0910) loss_contra: 0.0029 (0.0098) time: 2.9202 data: 0.0057 max mem: 31630 Epoch: [10] [2410/5278] eta: 2:19:18 lr: 3.8065169602499744e-05 loss: 0.1156 (0.1204) loss_seg: 0.1146 (0.1194) loss_lansim: 0.1016 (0.0911) loss_contra: 0.0024 (0.0098) time: 2.9139 data: 0.0057 max mem: 31630 Epoch: [10] [2420/5278] eta: 2:18:49 lr: 3.8062972528030075e-05 loss: 0.1156 (0.1204) loss_seg: 0.1146 (0.1194) loss_lansim: 0.1047 (0.0911) loss_contra: 0.0025 (0.0098) time: 2.9204 data: 0.0057 max mem: 31630 Epoch: [10] [2430/5278] eta: 2:18:19 lr: 3.8060775439469226e-05 loss: 0.1153 (0.1204) loss_seg: 0.1142 (0.1194) loss_lansim: 0.1047 (0.0912) loss_contra: 0.0024 (0.0099) time: 2.9181 data: 0.0057 max mem: 31630 Epoch: [10] [2440/5278] eta: 2:17:50 lr: 3.805857833681621e-05 loss: 0.1149 (0.1204) loss_seg: 0.1138 (0.1194) loss_lansim: 0.1047 (0.0912) loss_contra: 0.0016 (0.0098) time: 2.9112 data: 0.0057 max mem: 31630 Epoch: [10] [2450/5278] eta: 2:17:22 lr: 3.8056381220070034e-05 loss: 0.1127 (0.1205) loss_seg: 0.1118 (0.1195) loss_lansim: 0.1047 (0.0912) loss_contra: 0.0014 (0.0098) time: 2.9158 data: 0.0057 max mem: 31630 Epoch: [10] [2460/5278] eta: 2:16:53 lr: 3.80541840892297e-05 loss: 0.1127 (0.1205) loss_seg: 0.1118 (0.1195) loss_lansim: 0.1013 (0.0912) loss_contra: 0.0014 (0.0098) time: 2.9253 data: 0.0057 max mem: 31630 Epoch: [10] [2470/5278] eta: 2:16:24 lr: 3.805198694429422e-05 loss: 0.1127 (0.1205) loss_seg: 0.1115 (0.1194) loss_lansim: 0.0985 (0.0912) loss_contra: 0.0015 (0.0098) time: 2.9213 data: 0.0057 max mem: 31630 Epoch: [10] [2480/5278] eta: 2:15:55 lr: 3.8049789785262595e-05 loss: 0.1156 (0.1204) loss_seg: 0.1146 (0.1194) loss_lansim: 0.0959 (0.0912) loss_contra: 0.0013 (0.0098) time: 2.9202 data: 0.0057 max mem: 31630 Epoch: [10] [2490/5278] eta: 2:15:25 lr: 3.8047592612133834e-05 loss: 0.1127 (0.1204) loss_seg: 0.1118 (0.1194) loss_lansim: 0.0929 (0.0912) loss_contra: 0.0014 (0.0098) time: 2.9188 data: 0.0057 max mem: 31630 Epoch: [10] [2500/5278] eta: 2:14:57 lr: 3.8045395424906935e-05 loss: 0.1127 (0.1204) loss_seg: 0.1115 (0.1194) loss_lansim: 0.0909 (0.0912) loss_contra: 0.0014 (0.0098) time: 2.9224 data: 0.0057 max mem: 31630 Epoch: [10] [2510/5278] eta: 2:14:28 lr: 3.80431982235809e-05 loss: 0.1166 (0.1204) loss_seg: 0.1157 (0.1194) loss_lansim: 0.0899 (0.0911) loss_contra: 0.0013 (0.0098) time: 2.9297 data: 0.0058 max mem: 31630 Epoch: [10] [2520/5278] eta: 2:13:58 lr: 3.8041001008154745e-05 loss: 0.1132 (0.1204) loss_seg: 0.1123 (0.1194) loss_lansim: 0.0886 (0.0911) loss_contra: 0.0011 (0.0098) time: 2.9221 data: 0.0058 max mem: 31630 Epoch: [10] [2530/5278] eta: 2:13:29 lr: 3.8038803778627475e-05 loss: 0.1164 (0.1204) loss_seg: 0.1154 (0.1194) loss_lansim: 0.0865 (0.0911) loss_contra: 0.0011 (0.0098) time: 2.9277 data: 0.0058 max mem: 31630 Epoch: [10] [2540/5278] eta: 2:13:01 lr: 3.8036606534998075e-05 loss: 0.1173 (0.1205) loss_seg: 0.1163 (0.1195) loss_lansim: 0.0861 (0.0911) loss_contra: 0.0012 (0.0099) time: 2.9319 data: 0.0058 max mem: 31630 Epoch: [10] [2550/5278] eta: 2:12:31 lr: 3.803440927726558e-05 loss: 0.1158 (0.1205) loss_seg: 0.1149 (0.1195) loss_lansim: 0.0856 (0.0911) loss_contra: 0.0013 (0.0100) time: 2.9249 data: 0.0058 max mem: 31630 Epoch: [10] [2560/5278] eta: 2:12:02 lr: 3.803221200542897e-05 loss: 0.1173 (0.1205) loss_seg: 0.1163 (0.1195) loss_lansim: 0.0852 (0.0911) loss_contra: 0.0013 (0.0100) time: 2.9204 data: 0.0058 max mem: 31630 Epoch: [10] [2570/5278] eta: 2:11:33 lr: 3.803001471948725e-05 loss: 0.1190 (0.1205) loss_seg: 0.1179 (0.1195) loss_lansim: 0.0860 (0.0911) loss_contra: 0.0014 (0.0100) time: 2.9216 data: 0.0058 max mem: 31630 Epoch: [10] [2580/5278] eta: 2:11:04 lr: 3.802781741943944e-05 loss: 0.1158 (0.1205) loss_seg: 0.1149 (0.1195) loss_lansim: 0.0865 (0.0911) loss_contra: 0.0014 (0.0100) time: 2.9233 data: 0.0058 max mem: 31630 Epoch: [10] [2590/5278] eta: 2:10:34 lr: 3.8025620105284534e-05 loss: 0.1133 (0.1203) loss_seg: 0.1125 (0.1193) loss_lansim: 0.0861 (0.0910) loss_contra: 0.0013 (0.0100) time: 2.9177 data: 0.0058 max mem: 31630 Epoch: [10] [2600/5278] eta: 2:10:05 lr: 3.802342277702153e-05 loss: 0.1126 (0.1204) loss_seg: 0.1116 (0.1193) loss_lansim: 0.0863 (0.0910) loss_contra: 0.0011 (0.0100) time: 2.9161 data: 0.0057 max mem: 31630 Epoch: [10] [2610/5278] eta: 2:09:36 lr: 3.802122543464945e-05 loss: 0.1087 (0.1203) loss_seg: 0.1070 (0.1193) loss_lansim: 0.0863 (0.0910) loss_contra: 0.0013 (0.0100) time: 2.9109 data: 0.0058 max mem: 31630 Epoch: [10] [2620/5278] eta: 2:09:07 lr: 3.801902807816727e-05 loss: 0.1087 (0.1203) loss_seg: 0.1070 (0.1193) loss_lansim: 0.0867 (0.0910) loss_contra: 0.0013 (0.0100) time: 2.9133 data: 0.0058 max mem: 31630 Epoch: [10] [2630/5278] eta: 2:08:37 lr: 3.8016830707574014e-05 loss: 0.1083 (0.1203) loss_seg: 0.1062 (0.1192) loss_lansim: 0.0865 (0.0910) loss_contra: 0.0013 (0.0101) time: 2.9095 data: 0.0059 max mem: 31630 Epoch: [10] [2640/5278] eta: 2:08:08 lr: 3.801463332286868e-05 loss: 0.1034 (0.1202) loss_seg: 0.1024 (0.1192) loss_lansim: 0.0865 (0.0910) loss_contra: 0.0014 (0.0100) time: 2.9075 data: 0.0060 max mem: 31630 Epoch: [10] [2650/5278] eta: 2:07:39 lr: 3.801243592405027e-05 loss: 0.1059 (0.1202) loss_seg: 0.1049 (0.1192) loss_lansim: 0.0865 (0.0909) loss_contra: 0.0014 (0.0100) time: 2.9077 data: 0.0060 max mem: 31630 Epoch: [10] [2660/5278] eta: 2:07:10 lr: 3.801023851111779e-05 loss: 0.1017 (0.1202) loss_seg: 0.1009 (0.1192) loss_lansim: 0.0865 (0.0909) loss_contra: 0.0015 (0.0100) time: 2.9062 data: 0.0060 max mem: 31630 Epoch: [10] [2670/5278] eta: 2:06:41 lr: 3.800804108407024e-05 loss: 0.1011 (0.1201) loss_seg: 0.1002 (0.1191) loss_lansim: 0.0856 (0.0909) loss_contra: 0.0014 (0.0100) time: 2.9063 data: 0.0061 max mem: 31630 Epoch: [10] [2680/5278] eta: 2:06:12 lr: 3.800584364290662e-05 loss: 0.1021 (0.1201) loss_seg: 0.1013 (0.1191) loss_lansim: 0.0856 (0.0909) loss_contra: 0.0015 (0.0100) time: 2.9086 data: 0.0061 max mem: 31630 Epoch: [10] [2690/5278] eta: 2:05:43 lr: 3.800364618762593e-05 loss: 0.1021 (0.1201) loss_seg: 0.1013 (0.1191) loss_lansim: 0.0854 (0.0908) loss_contra: 0.0015 (0.0100) time: 2.9156 data: 0.0061 max mem: 31630 Epoch: [10] [2700/5278] eta: 2:05:14 lr: 3.800144871822718e-05 loss: 0.1051 (0.1201) loss_seg: 0.1044 (0.1191) loss_lansim: 0.0856 (0.0908) loss_contra: 0.0016 (0.0099) time: 2.9150 data: 0.0061 max mem: 31630 Epoch: [10] [2710/5278] eta: 2:04:45 lr: 3.7999251234709374e-05 loss: 0.1051 (0.1201) loss_seg: 0.1044 (0.1191) loss_lansim: 0.0856 (0.0908) loss_contra: 0.0016 (0.0099) time: 2.9158 data: 0.0061 max mem: 31630 Epoch: [10] [2720/5278] eta: 2:04:16 lr: 3.799705373707151e-05 loss: 0.1051 (0.1201) loss_seg: 0.1044 (0.1191) loss_lansim: 0.0847 (0.0908) loss_contra: 0.0015 (0.0099) time: 2.9187 data: 0.0060 max mem: 31630 Epoch: [10] [2730/5278] eta: 2:03:46 lr: 3.7994856225312584e-05 loss: 0.1051 (0.1201) loss_seg: 0.1044 (0.1191) loss_lansim: 0.0847 (0.0907) loss_contra: 0.0014 (0.0099) time: 2.9189 data: 0.0060 max mem: 31630 Epoch: [10] [2740/5278] eta: 2:03:17 lr: 3.799265869943161e-05 loss: 0.1051 (0.1201) loss_seg: 0.1044 (0.1191) loss_lansim: 0.0856 (0.0907) loss_contra: 0.0010 (0.0098) time: 2.9172 data: 0.0059 max mem: 31630 Epoch: [10] [2750/5278] eta: 2:02:48 lr: 3.7990461159427574e-05 loss: 0.1049 (0.1201) loss_seg: 0.1040 (0.1191) loss_lansim: 0.0847 (0.0907) loss_contra: 0.0010 (0.0098) time: 2.9194 data: 0.0059 max mem: 31630 Epoch: [10] [2760/5278] eta: 2:02:19 lr: 3.79882636052995e-05 loss: 0.1049 (0.1200) loss_seg: 0.1040 (0.1190) loss_lansim: 0.0856 (0.0907) loss_contra: 0.0008 (0.0098) time: 2.9167 data: 0.0058 max mem: 31630 Epoch: [10] [2770/5278] eta: 2:01:50 lr: 3.798606603704636e-05 loss: 0.1048 (0.1200) loss_seg: 0.1039 (0.1190) loss_lansim: 0.0860 (0.0907) loss_contra: 0.0006 (0.0098) time: 2.9168 data: 0.0058 max mem: 31630 Epoch: [10] [2780/5278] eta: 2:01:21 lr: 3.7983868454667174e-05 loss: 0.1015 (0.1199) loss_seg: 0.1003 (0.1189) loss_lansim: 0.0860 (0.0907) loss_contra: 0.0006 (0.0097) time: 2.9179 data: 0.0058 max mem: 31630 Epoch: [10] [2790/5278] eta: 2:00:52 lr: 3.798167085816095e-05 loss: 0.1038 (0.1199) loss_seg: 0.1029 (0.1189) loss_lansim: 0.0860 (0.0907) loss_contra: 0.0006 (0.0097) time: 2.9166 data: 0.0058 max mem: 31630 Epoch: [10] [2800/5278] eta: 2:00:23 lr: 3.797947324752667e-05 loss: 0.1026 (0.1198) loss_seg: 0.1016 (0.1188) loss_lansim: 0.0860 (0.0907) loss_contra: 0.0005 (0.0097) time: 2.9197 data: 0.0057 max mem: 31630 Epoch: [10] [2810/5278] eta: 1:59:54 lr: 3.797727562276335e-05 loss: 0.1026 (0.1198) loss_seg: 0.1016 (0.1188) loss_lansim: 0.0867 (0.0907) loss_contra: 0.0006 (0.0097) time: 2.9191 data: 0.0057 max mem: 31630 Epoch: [10] [2820/5278] eta: 1:59:24 lr: 3.797507798386998e-05 loss: 0.1026 (0.1198) loss_seg: 0.1016 (0.1188) loss_lansim: 0.0875 (0.0907) loss_contra: 0.0007 (0.0097) time: 2.9189 data: 0.0058 max mem: 31630 Epoch: [10] [2830/5278] eta: 1:58:55 lr: 3.797288033084556e-05 loss: 0.1026 (0.1198) loss_seg: 0.1016 (0.1188) loss_lansim: 0.0885 (0.0907) loss_contra: 0.0008 (0.0097) time: 2.9200 data: 0.0057 max mem: 31630 Epoch: [10] [2840/5278] eta: 1:58:26 lr: 3.797068266368911e-05 loss: 0.1038 (0.1198) loss_seg: 0.1029 (0.1188) loss_lansim: 0.0880 (0.0907) loss_contra: 0.0008 (0.0097) time: 2.9197 data: 0.0057 max mem: 31630 Epoch: [10] [2850/5278] eta: 1:57:57 lr: 3.7968484982399604e-05 loss: 0.1027 (0.1197) loss_seg: 0.1016 (0.1187) loss_lansim: 0.0882 (0.0907) loss_contra: 0.0010 (0.0096) time: 2.9192 data: 0.0057 max mem: 31630 Epoch: [10] [2860/5278] eta: 1:57:28 lr: 3.796628728697606e-05 loss: 0.1018 (0.1197) loss_seg: 0.1009 (0.1187) loss_lansim: 0.0905 (0.0908) loss_contra: 0.0011 (0.0096) time: 2.9212 data: 0.0058 max mem: 31630 Epoch: [10] [2870/5278] eta: 1:56:59 lr: 3.796408957741747e-05 loss: 0.1026 (0.1197) loss_seg: 0.1013 (0.1187) loss_lansim: 0.0913 (0.0908) loss_contra: 0.0011 (0.0097) time: 2.9226 data: 0.0058 max mem: 31630 Epoch: [10] [2880/5278] eta: 1:56:30 lr: 3.796189185372284e-05 loss: 0.1058 (0.1198) loss_seg: 0.1049 (0.1188) loss_lansim: 0.0919 (0.0908) loss_contra: 0.0010 (0.0096) time: 2.9177 data: 0.0058 max mem: 31630 Epoch: [10] [2890/5278] eta: 1:56:00 lr: 3.795969411589116e-05 loss: 0.1093 (0.1198) loss_seg: 0.1080 (0.1188) loss_lansim: 0.0927 (0.0908) loss_contra: 0.0014 (0.0096) time: 2.9166 data: 0.0058 max mem: 31630 Epoch: [10] [2900/5278] eta: 1:55:31 lr: 3.7957496363921444e-05 loss: 0.1096 (0.1199) loss_seg: 0.1087 (0.1188) loss_lansim: 0.0932 (0.0908) loss_contra: 0.0015 (0.0096) time: 2.9153 data: 0.0058 max mem: 31630 Epoch: [10] [2910/5278] eta: 1:55:02 lr: 3.7955298597812666e-05 loss: 0.1096 (0.1198) loss_seg: 0.1087 (0.1188) loss_lansim: 0.0923 (0.0908) loss_contra: 0.0012 (0.0096) time: 2.9137 data: 0.0058 max mem: 31630 Epoch: [10] [2920/5278] eta: 1:54:33 lr: 3.795310081756386e-05 loss: 0.1096 (0.1198) loss_seg: 0.1087 (0.1188) loss_lansim: 0.0920 (0.0908) loss_contra: 0.0010 (0.0096) time: 2.9122 data: 0.0058 max mem: 31630 Epoch: [10] [2930/5278] eta: 1:54:03 lr: 3.795090302317399e-05 loss: 0.1124 (0.1197) loss_seg: 0.1113 (0.1187) loss_lansim: 0.0911 (0.0908) loss_contra: 0.0010 (0.0096) time: 2.9052 data: 0.0058 max mem: 31630 Epoch: [10] [2940/5278] eta: 1:53:34 lr: 3.794870521464209e-05 loss: 0.1125 (0.1199) loss_seg: 0.1114 (0.1189) loss_lansim: 0.0916 (0.0908) loss_contra: 0.0010 (0.0096) time: 2.9036 data: 0.0058 max mem: 31630 Epoch: [10] [2950/5278] eta: 1:53:04 lr: 3.794650739196713e-05 loss: 0.1141 (0.1199) loss_seg: 0.1133 (0.1189) loss_lansim: 0.0916 (0.0908) loss_contra: 0.0011 (0.0097) time: 2.8947 data: 0.0058 max mem: 31630 Epoch: [10] [2960/5278] eta: 1:52:35 lr: 3.7944309555148124e-05 loss: 0.1141 (0.1199) loss_seg: 0.1133 (0.1189) loss_lansim: 0.0911 (0.0908) loss_contra: 0.0010 (0.0096) time: 2.8938 data: 0.0057 max mem: 31630 Epoch: [10] [2970/5278] eta: 1:52:05 lr: 3.794211170418407e-05 loss: 0.1151 (0.1199) loss_seg: 0.1140 (0.1189) loss_lansim: 0.0912 (0.0908) loss_contra: 0.0010 (0.0097) time: 2.8912 data: 0.0058 max mem: 31630 Epoch: [10] [2980/5278] eta: 1:51:36 lr: 3.793991383907396e-05 loss: 0.1124 (0.1198) loss_seg: 0.1113 (0.1188) loss_lansim: 0.0912 (0.0908) loss_contra: 0.0011 (0.0097) time: 2.8831 data: 0.0058 max mem: 31630 Epoch: [10] [2990/5278] eta: 1:51:06 lr: 3.7937715959816796e-05 loss: 0.1090 (0.1199) loss_seg: 0.1081 (0.1189) loss_lansim: 0.0911 (0.0908) loss_contra: 0.0011 (0.0097) time: 2.8838 data: 0.0057 max mem: 31630 Epoch: [10] [3000/5278] eta: 1:50:37 lr: 3.7935518066411576e-05 loss: 0.1090 (0.1199) loss_seg: 0.1081 (0.1189) loss_lansim: 0.0906 (0.0908) loss_contra: 0.0011 (0.0096) time: 2.8829 data: 0.0057 max mem: 31630 Epoch: [10] [3010/5278] eta: 1:50:08 lr: 3.79333201588573e-05 loss: 0.1124 (0.1200) loss_seg: 0.1113 (0.1190) loss_lansim: 0.0909 (0.0908) loss_contra: 0.0013 (0.0096) time: 2.8795 data: 0.0057 max mem: 31630 Epoch: [10] [3020/5278] eta: 1:49:39 lr: 3.793112223715296e-05 loss: 0.1149 (0.1200) loss_seg: 0.1140 (0.1190) loss_lansim: 0.0906 (0.0908) loss_contra: 0.0013 (0.0096) time: 2.8789 data: 0.0057 max mem: 31630 Epoch: [10] [3030/5278] eta: 1:49:09 lr: 3.792892430129757e-05 loss: 0.1187 (0.1201) loss_seg: 0.1175 (0.1191) loss_lansim: 0.0912 (0.0908) loss_contra: 0.0013 (0.0097) time: 2.8830 data: 0.0057 max mem: 31630 Epoch: [10] [3040/5278] eta: 1:48:40 lr: 3.79267263512901e-05 loss: 0.1151 (0.1201) loss_seg: 0.1140 (0.1191) loss_lansim: 0.0917 (0.0908) loss_contra: 0.0014 (0.0097) time: 2.8859 data: 0.0057 max mem: 31630 Epoch: [10] [3050/5278] eta: 1:48:11 lr: 3.7924528387129574e-05 loss: 0.1151 (0.1201) loss_seg: 0.1140 (0.1191) loss_lansim: 0.0918 (0.0908) loss_contra: 0.0017 (0.0098) time: 2.8983 data: 0.0058 max mem: 31630 Epoch: [10] [3060/5278] eta: 1:47:43 lr: 3.792233040881497e-05 loss: 0.1226 (0.1201) loss_seg: 0.1218 (0.1191) loss_lansim: 0.0921 (0.0908) loss_contra: 0.0022 (0.0098) time: 2.9068 data: 0.0058 max mem: 31630 Epoch: [10] [3070/5278] eta: 1:47:13 lr: 3.79201324163453e-05 loss: 0.1233 (0.1202) loss_seg: 0.1223 (0.1192) loss_lansim: 0.0918 (0.0908) loss_contra: 0.0021 (0.0098) time: 2.9033 data: 0.0059 max mem: 31630 Epoch: [10] [3080/5278] eta: 1:46:44 lr: 3.791793440971956e-05 loss: 0.1240 (0.1201) loss_seg: 0.1230 (0.1191) loss_lansim: 0.0909 (0.0908) loss_contra: 0.0021 (0.0098) time: 2.9164 data: 0.0058 max mem: 31630 Epoch: [10] [3090/5278] eta: 1:46:16 lr: 3.791573638893673e-05 loss: 0.1233 (0.1201) loss_seg: 0.1223 (0.1191) loss_lansim: 0.0890 (0.0908) loss_contra: 0.0021 (0.0098) time: 2.9211 data: 0.0059 max mem: 31630 Epoch: [10] [3100/5278] eta: 1:45:46 lr: 3.791353835399583e-05 loss: 0.1218 (0.1201) loss_seg: 0.1210 (0.1191) loss_lansim: 0.0890 (0.0908) loss_contra: 0.0026 (0.0098) time: 2.9131 data: 0.0059 max mem: 31630 Epoch: [10] [3110/5278] eta: 1:45:17 lr: 3.7911340304895845e-05 loss: 0.1197 (0.1201) loss_seg: 0.1186 (0.1191) loss_lansim: 0.0883 (0.0908) loss_contra: 0.0022 (0.0098) time: 2.9207 data: 0.0059 max mem: 31630 Epoch: [10] [3120/5278] eta: 1:44:48 lr: 3.7909142241635766e-05 loss: 0.1218 (0.1202) loss_seg: 0.1210 (0.1192) loss_lansim: 0.0893 (0.0908) loss_contra: 0.0022 (0.0097) time: 2.9287 data: 0.0058 max mem: 31630 Epoch: [10] [3130/5278] eta: 1:44:19 lr: 3.7906944164214604e-05 loss: 0.1250 (0.1202) loss_seg: 0.1240 (0.1192) loss_lansim: 0.0897 (0.0908) loss_contra: 0.0026 (0.0097) time: 2.9309 data: 0.0059 max mem: 31630 Epoch: [10] [3140/5278] eta: 1:43:50 lr: 3.790474607263134e-05 loss: 0.1250 (0.1202) loss_seg: 0.1240 (0.1192) loss_lansim: 0.0893 (0.0908) loss_contra: 0.0021 (0.0097) time: 2.9302 data: 0.0058 max mem: 31630 Epoch: [10] [3150/5278] eta: 1:43:21 lr: 3.7902547966884986e-05 loss: 0.1244 (0.1202) loss_seg: 0.1236 (0.1192) loss_lansim: 0.0893 (0.0908) loss_contra: 0.0018 (0.0097) time: 2.9257 data: 0.0058 max mem: 31630 Epoch: [10] [3160/5278] eta: 1:42:52 lr: 3.790034984697453e-05 loss: 0.1197 (0.1202) loss_seg: 0.1186 (0.1192) loss_lansim: 0.0897 (0.0908) loss_contra: 0.0017 (0.0097) time: 2.9223 data: 0.0058 max mem: 31630 Epoch: [10] [3170/5278] eta: 1:42:23 lr: 3.789815171289896e-05 loss: 0.1110 (0.1202) loss_seg: 0.1098 (0.1192) loss_lansim: 0.0902 (0.0908) loss_contra: 0.0016 (0.0097) time: 2.9262 data: 0.0058 max mem: 31630 Epoch: [10] [3180/5278] eta: 1:41:53 lr: 3.7895953564657285e-05 loss: 0.1117 (0.1201) loss_seg: 0.1108 (0.1191) loss_lansim: 0.0902 (0.0908) loss_contra: 0.0017 (0.0097) time: 2.9192 data: 0.0058 max mem: 31630 Epoch: [10] [3190/5278] eta: 1:41:24 lr: 3.7893755402248496e-05 loss: 0.1117 (0.1201) loss_seg: 0.1108 (0.1191) loss_lansim: 0.0912 (0.0908) loss_contra: 0.0016 (0.0096) time: 2.9177 data: 0.0058 max mem: 31630 Epoch: [10] [3200/5278] eta: 1:40:55 lr: 3.7891557225671584e-05 loss: 0.1171 (0.1202) loss_seg: 0.1161 (0.1192) loss_lansim: 0.0906 (0.0908) loss_contra: 0.0013 (0.0096) time: 2.9255 data: 0.0058 max mem: 31630 Epoch: [10] [3210/5278] eta: 1:40:26 lr: 3.788935903492555e-05 loss: 0.1117 (0.1202) loss_seg: 0.1108 (0.1192) loss_lansim: 0.0915 (0.0908) loss_contra: 0.0014 (0.0096) time: 2.9219 data: 0.0058 max mem: 31630 Epoch: [10] [3220/5278] eta: 1:39:57 lr: 3.788716083000939e-05 loss: 0.1117 (0.1202) loss_seg: 0.1106 (0.1192) loss_lansim: 0.0902 (0.0908) loss_contra: 0.0015 (0.0096) time: 2.9196 data: 0.0057 max mem: 31630 Epoch: [10] [3230/5278] eta: 1:39:28 lr: 3.788496261092209e-05 loss: 0.1110 (0.1202) loss_seg: 0.1098 (0.1192) loss_lansim: 0.0902 (0.0908) loss_contra: 0.0014 (0.0096) time: 2.9260 data: 0.0057 max mem: 31630 Epoch: [10] [3240/5278] eta: 1:39:00 lr: 3.788276437766267e-05 loss: 0.1091 (0.1201) loss_seg: 0.1078 (0.1191) loss_lansim: 0.0905 (0.0908) loss_contra: 0.0013 (0.0096) time: 2.9320 data: 0.0058 max mem: 31630 Epoch: [10] [3250/5278] eta: 1:38:30 lr: 3.788056613023008e-05 loss: 0.1091 (0.1201) loss_seg: 0.1078 (0.1191) loss_lansim: 0.0901 (0.0908) loss_contra: 0.0012 (0.0096) time: 2.9298 data: 0.0058 max mem: 31630 Epoch: [10] [3260/5278] eta: 1:38:01 lr: 3.787836786862336e-05 loss: 0.1057 (0.1201) loss_seg: 0.1048 (0.1191) loss_lansim: 0.0892 (0.0908) loss_contra: 0.0012 (0.0096) time: 2.9297 data: 0.0058 max mem: 31630 Epoch: [10] [3270/5278] eta: 1:37:32 lr: 3.787616959284148e-05 loss: 0.1090 (0.1202) loss_seg: 0.1081 (0.1192) loss_lansim: 0.0876 (0.0908) loss_contra: 0.0013 (0.0096) time: 2.9280 data: 0.0058 max mem: 31630 Epoch: [10] [3280/5278] eta: 1:37:03 lr: 3.787397130288344e-05 loss: 0.1089 (0.1201) loss_seg: 0.1079 (0.1191) loss_lansim: 0.0888 (0.0908) loss_contra: 0.0012 (0.0096) time: 2.9348 data: 0.0058 max mem: 31630 Epoch: [10] [3290/5278] eta: 1:36:34 lr: 3.7871772998748246e-05 loss: 0.1049 (0.1201) loss_seg: 0.1039 (0.1191) loss_lansim: 0.0892 (0.0909) loss_contra: 0.0011 (0.0095) time: 2.9318 data: 0.0058 max mem: 31630 Epoch: [10] [3300/5278] eta: 1:36:05 lr: 3.7869574680434865e-05 loss: 0.1035 (0.1201) loss_seg: 0.1024 (0.1190) loss_lansim: 0.0917 (0.0909) loss_contra: 0.0015 (0.0095) time: 2.9283 data: 0.0058 max mem: 31630 Epoch: [10] [3310/5278] eta: 1:35:36 lr: 3.7867376347942314e-05 loss: 0.1049 (0.1201) loss_seg: 0.1039 (0.1191) loss_lansim: 0.0919 (0.0909) loss_contra: 0.0013 (0.0095) time: 2.9333 data: 0.0059 max mem: 31630 Epoch: [10] [3320/5278] eta: 1:35:06 lr: 3.7865178001269585e-05 loss: 0.1057 (0.1201) loss_seg: 0.1048 (0.1191) loss_lansim: 0.0932 (0.0909) loss_contra: 0.0011 (0.0095) time: 2.9263 data: 0.0060 max mem: 31630 Epoch: [10] [3330/5278] eta: 1:34:37 lr: 3.786297964041566e-05 loss: 0.1072 (0.1202) loss_seg: 0.1061 (0.1192) loss_lansim: 0.0932 (0.0909) loss_contra: 0.0011 (0.0095) time: 2.9194 data: 0.0060 max mem: 31630 Epoch: [10] [3340/5278] eta: 1:34:08 lr: 3.786078126537954e-05 loss: 0.1089 (0.1202) loss_seg: 0.1079 (0.1192) loss_lansim: 0.0938 (0.0909) loss_contra: 0.0012 (0.0095) time: 2.9137 data: 0.0060 max mem: 31630 Epoch: [10] [3350/5278] eta: 1:33:39 lr: 3.785858287616022e-05 loss: 0.1090 (0.1203) loss_seg: 0.1082 (0.1193) loss_lansim: 0.0956 (0.0910) loss_contra: 0.0011 (0.0094) time: 2.9157 data: 0.0061 max mem: 31630 Epoch: [10] [3360/5278] eta: 1:33:10 lr: 3.785638447275669e-05 loss: 0.1105 (0.1203) loss_seg: 0.1094 (0.1193) loss_lansim: 0.0967 (0.0910) loss_contra: 0.0010 (0.0094) time: 2.9198 data: 0.0060 max mem: 31630 Epoch: [10] [3370/5278] eta: 1:32:41 lr: 3.785418605516795e-05 loss: 0.1105 (0.1204) loss_seg: 0.1094 (0.1194) loss_lansim: 0.0997 (0.0910) loss_contra: 0.0009 (0.0094) time: 2.9224 data: 0.0060 max mem: 31630 Epoch: [10] [3380/5278] eta: 1:32:12 lr: 3.785198762339298e-05 loss: 0.1121 (0.1203) loss_seg: 0.1112 (0.1193) loss_lansim: 0.1004 (0.0911) loss_contra: 0.0010 (0.0095) time: 2.9144 data: 0.0060 max mem: 31630 Epoch: [10] [3390/5278] eta: 1:31:42 lr: 3.7849789177430785e-05 loss: 0.1121 (0.1203) loss_seg: 0.1112 (0.1193) loss_lansim: 0.1004 (0.0911) loss_contra: 0.0011 (0.0095) time: 2.9141 data: 0.0060 max mem: 31630 Epoch: [10] [3400/5278] eta: 1:31:13 lr: 3.7847590717280354e-05 loss: 0.1168 (0.1203) loss_seg: 0.1158 (0.1193) loss_lansim: 0.1013 (0.0912) loss_contra: 0.0011 (0.0095) time: 2.9181 data: 0.0060 max mem: 31630 Epoch: [10] [3410/5278] eta: 1:30:44 lr: 3.784539224294067e-05 loss: 0.1147 (0.1203) loss_seg: 0.1136 (0.1193) loss_lansim: 0.1013 (0.0912) loss_contra: 0.0012 (0.0095) time: 2.9164 data: 0.0060 max mem: 31630 Epoch: [10] [3420/5278] eta: 1:30:15 lr: 3.7843193754410746e-05 loss: 0.1121 (0.1203) loss_seg: 0.1112 (0.1193) loss_lansim: 0.1016 (0.0912) loss_contra: 0.0011 (0.0095) time: 2.9213 data: 0.0059 max mem: 31630 Epoch: [10] [3430/5278] eta: 1:29:46 lr: 3.784099525168956e-05 loss: 0.1068 (0.1202) loss_seg: 0.1056 (0.1192) loss_lansim: 0.1022 (0.0913) loss_contra: 0.0012 (0.0094) time: 2.9194 data: 0.0059 max mem: 31630 Epoch: [10] [3440/5278] eta: 1:29:17 lr: 3.783879673477611e-05 loss: 0.1054 (0.1202) loss_seg: 0.1043 (0.1192) loss_lansim: 0.1022 (0.0913) loss_contra: 0.0011 (0.0094) time: 2.9219 data: 0.0059 max mem: 31630 Epoch: [10] [3450/5278] eta: 1:28:48 lr: 3.783659820366938e-05 loss: 0.1054 (0.1202) loss_seg: 0.1043 (0.1192) loss_lansim: 0.1031 (0.0914) loss_contra: 0.0012 (0.0095) time: 2.9187 data: 0.0058 max mem: 31630 Epoch: [10] [3460/5278] eta: 1:28:19 lr: 3.783439965836836e-05 loss: 0.1065 (0.1202) loss_seg: 0.1052 (0.1192) loss_lansim: 0.1039 (0.0914) loss_contra: 0.0013 (0.0095) time: 2.9157 data: 0.0058 max mem: 31630 Epoch: [10] [3470/5278] eta: 1:27:50 lr: 3.7832201098872065e-05 loss: 0.1054 (0.1202) loss_seg: 0.1043 (0.1192) loss_lansim: 0.1050 (0.0915) loss_contra: 0.0013 (0.0095) time: 2.9188 data: 0.0058 max mem: 31630 Epoch: [10] [3480/5278] eta: 1:27:21 lr: 3.783000252517946e-05 loss: 0.1054 (0.1202) loss_seg: 0.1043 (0.1192) loss_lansim: 0.1050 (0.0915) loss_contra: 0.0013 (0.0095) time: 2.9258 data: 0.0058 max mem: 31630 Epoch: [10] [3490/5278] eta: 1:26:51 lr: 3.782780393728956e-05 loss: 0.1123 (0.1202) loss_seg: 0.1111 (0.1192) loss_lansim: 0.1073 (0.0916) loss_contra: 0.0014 (0.0095) time: 2.9227 data: 0.0058 max mem: 31630 Epoch: [10] [3500/5278] eta: 1:26:22 lr: 3.782560533520134e-05 loss: 0.1127 (0.1203) loss_seg: 0.1115 (0.1192) loss_lansim: 0.1076 (0.0917) loss_contra: 0.0013 (0.0095) time: 2.9206 data: 0.0058 max mem: 31630 Epoch: [10] [3510/5278] eta: 1:25:53 lr: 3.782340671891379e-05 loss: 0.1123 (0.1202) loss_seg: 0.1111 (0.1192) loss_lansim: 0.1076 (0.0917) loss_contra: 0.0013 (0.0094) time: 2.9194 data: 0.0058 max mem: 31630 Epoch: [10] [3520/5278] eta: 1:25:24 lr: 3.7821208088425915e-05 loss: 0.1123 (0.1202) loss_seg: 0.1111 (0.1192) loss_lansim: 0.1075 (0.0917) loss_contra: 0.0014 (0.0094) time: 2.9179 data: 0.0058 max mem: 31630 Epoch: [10] [3530/5278] eta: 1:24:55 lr: 3.781900944373669e-05 loss: 0.1127 (0.1202) loss_seg: 0.1115 (0.1192) loss_lansim: 0.1074 (0.0917) loss_contra: 0.0013 (0.0094) time: 2.9243 data: 0.0057 max mem: 31630 Epoch: [10] [3540/5278] eta: 1:24:26 lr: 3.781681078484511e-05 loss: 0.1151 (0.1202) loss_seg: 0.1143 (0.1192) loss_lansim: 0.1069 (0.0918) loss_contra: 0.0013 (0.0094) time: 2.9264 data: 0.0058 max mem: 31630 Epoch: [10] [3550/5278] eta: 1:23:57 lr: 3.781461211175018e-05 loss: 0.1154 (0.1203) loss_seg: 0.1143 (0.1193) loss_lansim: 0.1069 (0.0918) loss_contra: 0.0013 (0.0094) time: 2.9271 data: 0.0058 max mem: 31630 Epoch: [10] [3560/5278] eta: 1:23:28 lr: 3.781241342445088e-05 loss: 0.1167 (0.1203) loss_seg: 0.1148 (0.1193) loss_lansim: 0.1056 (0.0919) loss_contra: 0.0012 (0.0094) time: 2.9235 data: 0.0058 max mem: 31630 Epoch: [10] [3570/5278] eta: 1:22:59 lr: 3.7810214722946196e-05 loss: 0.1169 (0.1204) loss_seg: 0.1159 (0.1194) loss_lansim: 0.1052 (0.0919) loss_contra: 0.0011 (0.0093) time: 2.9220 data: 0.0058 max mem: 31630 Epoch: [10] [3580/5278] eta: 1:22:30 lr: 3.780801600723512e-05 loss: 0.1169 (0.1205) loss_seg: 0.1159 (0.1194) loss_lansim: 0.1055 (0.0920) loss_contra: 0.0011 (0.0093) time: 2.9220 data: 0.0057 max mem: 31630 Epoch: [10] [3590/5278] eta: 1:22:01 lr: 3.780581727731666e-05 loss: 0.1167 (0.1204) loss_seg: 0.1155 (0.1194) loss_lansim: 0.1052 (0.0920) loss_contra: 0.0009 (0.0093) time: 2.9293 data: 0.0058 max mem: 31630 Epoch: [10] [3600/5278] eta: 1:21:31 lr: 3.780361853318978e-05 loss: 0.1192 (0.1205) loss_seg: 0.1182 (0.1195) loss_lansim: 0.1048 (0.0921) loss_contra: 0.0009 (0.0093) time: 2.9293 data: 0.0058 max mem: 31630 Epoch: [10] [3610/5278] eta: 1:21:02 lr: 3.780141977485348e-05 loss: 0.1191 (0.1205) loss_seg: 0.1182 (0.1195) loss_lansim: 0.1047 (0.0921) loss_contra: 0.0007 (0.0093) time: 2.9257 data: 0.0058 max mem: 31630 Epoch: [10] [3620/5278] eta: 1:20:33 lr: 3.779922100230675e-05 loss: 0.1180 (0.1205) loss_seg: 0.1171 (0.1195) loss_lansim: 0.1047 (0.0921) loss_contra: 0.0007 (0.0093) time: 2.9322 data: 0.0058 max mem: 31630 Epoch: [10] [3630/5278] eta: 1:20:04 lr: 3.779702221554859e-05 loss: 0.1191 (0.1205) loss_seg: 0.1182 (0.1195) loss_lansim: 0.1057 (0.0922) loss_contra: 0.0007 (0.0093) time: 2.9323 data: 0.0058 max mem: 31630 Epoch: [10] [3640/5278] eta: 1:19:35 lr: 3.779482341457797e-05 loss: 0.1191 (0.1206) loss_seg: 0.1182 (0.1196) loss_lansim: 0.1063 (0.0922) loss_contra: 0.0009 (0.0093) time: 2.9310 data: 0.0058 max mem: 31630 Epoch: [10] [3650/5278] eta: 1:19:06 lr: 3.7792624599393894e-05 loss: 0.1191 (0.1206) loss_seg: 0.1181 (0.1196) loss_lansim: 0.1063 (0.0922) loss_contra: 0.0009 (0.0093) time: 2.9325 data: 0.0058 max mem: 31630 Epoch: [10] [3660/5278] eta: 1:18:37 lr: 3.779042576999535e-05 loss: 0.1218 (0.1207) loss_seg: 0.1207 (0.1197) loss_lansim: 0.1063 (0.0923) loss_contra: 0.0009 (0.0092) time: 2.9373 data: 0.0059 max mem: 31630 Epoch: [10] [3670/5278] eta: 1:18:08 lr: 3.778822692638132e-05 loss: 0.1200 (0.1207) loss_seg: 0.1189 (0.1197) loss_lansim: 0.1070 (0.0923) loss_contra: 0.0009 (0.0092) time: 2.9301 data: 0.0059 max mem: 31630 Epoch: [10] [3680/5278] eta: 1:17:39 lr: 3.77860280685508e-05 loss: 0.1214 (0.1207) loss_seg: 0.1203 (0.1197) loss_lansim: 0.1062 (0.0923) loss_contra: 0.0010 (0.0092) time: 2.9308 data: 0.0059 max mem: 31630 Epoch: [10] [3690/5278] eta: 1:17:10 lr: 3.7783829196502775e-05 loss: 0.1224 (0.1207) loss_seg: 0.1209 (0.1197) loss_lansim: 0.1056 (0.0924) loss_contra: 0.0010 (0.0092) time: 2.9327 data: 0.0058 max mem: 31630 Epoch: [10] [3700/5278] eta: 1:16:41 lr: 3.778163031023623e-05 loss: 0.1191 (0.1208) loss_seg: 0.1182 (0.1198) loss_lansim: 0.1048 (0.0924) loss_contra: 0.0010 (0.0092) time: 2.9363 data: 0.0059 max mem: 31630 Epoch: [10] [3710/5278] eta: 1:16:12 lr: 3.7779431409750167e-05 loss: 0.1200 (0.1209) loss_seg: 0.1188 (0.1199) loss_lansim: 0.1041 (0.0924) loss_contra: 0.0011 (0.0092) time: 2.9360 data: 0.0059 max mem: 31630 Epoch: [10] [3720/5278] eta: 1:15:42 lr: 3.777723249504356e-05 loss: 0.1224 (0.1209) loss_seg: 0.1209 (0.1199) loss_lansim: 0.1025 (0.0924) loss_contra: 0.0011 (0.0092) time: 2.9287 data: 0.0059 max mem: 31630 Epoch: [10] [3730/5278] eta: 1:15:13 lr: 3.7775033566115406e-05 loss: 0.1224 (0.1210) loss_seg: 0.1210 (0.1199) loss_lansim: 0.1018 (0.0925) loss_contra: 0.0010 (0.0092) time: 2.9288 data: 0.0059 max mem: 31630 Epoch: [10] [3740/5278] eta: 1:14:44 lr: 3.777283462296469e-05 loss: 0.1200 (0.1209) loss_seg: 0.1188 (0.1199) loss_lansim: 0.0998 (0.0925) loss_contra: 0.0010 (0.0092) time: 2.9300 data: 0.0059 max mem: 31630 Epoch: [10] [3750/5278] eta: 1:14:15 lr: 3.7770635665590395e-05 loss: 0.1200 (0.1209) loss_seg: 0.1188 (0.1199) loss_lansim: 0.0988 (0.0925) loss_contra: 0.0012 (0.0092) time: 2.9353 data: 0.0059 max mem: 31630 Epoch: [10] [3760/5278] eta: 1:13:46 lr: 3.776843669399153e-05 loss: 0.1143 (0.1209) loss_seg: 0.1133 (0.1198) loss_lansim: 0.0962 (0.0925) loss_contra: 0.0012 (0.0092) time: 2.9278 data: 0.0059 max mem: 31630 Epoch: [10] [3770/5278] eta: 1:13:17 lr: 3.776623770816705e-05 loss: 0.1102 (0.1208) loss_seg: 0.1091 (0.1198) loss_lansim: 0.0954 (0.0925) loss_contra: 0.0012 (0.0092) time: 2.9336 data: 0.0059 max mem: 31630 Epoch: [10] [3780/5278] eta: 1:12:48 lr: 3.776403870811596e-05 loss: 0.1057 (0.1208) loss_seg: 0.1047 (0.1198) loss_lansim: 0.0953 (0.0925) loss_contra: 0.0013 (0.0092) time: 2.9348 data: 0.0059 max mem: 31630 Epoch: [10] [3790/5278] eta: 1:12:19 lr: 3.7761839693837255e-05 loss: 0.1057 (0.1208) loss_seg: 0.1047 (0.1198) loss_lansim: 0.0943 (0.0925) loss_contra: 0.0013 (0.0092) time: 2.9312 data: 0.0060 max mem: 31630 Epoch: [10] [3800/5278] eta: 1:11:50 lr: 3.775964066532991e-05 loss: 0.1057 (0.1209) loss_seg: 0.1047 (0.1198) loss_lansim: 0.0941 (0.0925) loss_contra: 0.0013 (0.0092) time: 2.9260 data: 0.0059 max mem: 31630 Epoch: [10] [3810/5278] eta: 1:11:20 lr: 3.7757441622592924e-05 loss: 0.1081 (0.1209) loss_seg: 0.1071 (0.1199) loss_lansim: 0.0943 (0.0925) loss_contra: 0.0013 (0.0092) time: 2.9302 data: 0.0058 max mem: 31630 Epoch: [10] [3820/5278] eta: 1:10:51 lr: 3.7755242565625274e-05 loss: 0.1081 (0.1209) loss_seg: 0.1071 (0.1199) loss_lansim: 0.0943 (0.0926) loss_contra: 0.0013 (0.0092) time: 2.9287 data: 0.0058 max mem: 31630 Epoch: [10] [3830/5278] eta: 1:10:22 lr: 3.7753043494425945e-05 loss: 0.1051 (0.1209) loss_seg: 0.1029 (0.1199) loss_lansim: 0.0948 (0.0926) loss_contra: 0.0018 (0.0092) time: 2.9259 data: 0.0058 max mem: 31630 Epoch: [10] [3840/5278] eta: 1:09:53 lr: 3.775084440899393e-05 loss: 0.1112 (0.1209) loss_seg: 0.1102 (0.1199) loss_lansim: 0.0957 (0.0926) loss_contra: 0.0018 (0.0092) time: 2.9196 data: 0.0059 max mem: 31630 Epoch: [10] [3850/5278] eta: 1:09:24 lr: 3.7748645309328216e-05 loss: 0.1112 (0.1209) loss_seg: 0.1102 (0.1199) loss_lansim: 0.0959 (0.0927) loss_contra: 0.0016 (0.0091) time: 2.9134 data: 0.0059 max mem: 31630 Epoch: [10] [3860/5278] eta: 1:08:55 lr: 3.774644619542779e-05 loss: 0.1155 (0.1209) loss_seg: 0.1140 (0.1199) loss_lansim: 0.0989 (0.0927) loss_contra: 0.0013 (0.0091) time: 2.9215 data: 0.0059 max mem: 31630 Epoch: [10] [3870/5278] eta: 1:08:25 lr: 3.774424706729163e-05 loss: 0.1199 (0.1210) loss_seg: 0.1187 (0.1200) loss_lansim: 0.0999 (0.0927) loss_contra: 0.0015 (0.0091) time: 2.9155 data: 0.0059 max mem: 31630 Epoch: [10] [3880/5278] eta: 1:07:56 lr: 3.774204792491873e-05 loss: 0.1202 (0.1211) loss_seg: 0.1190 (0.1201) loss_lansim: 0.0999 (0.0928) loss_contra: 0.0012 (0.0091) time: 2.9128 data: 0.0059 max mem: 31630 Epoch: [10] [3890/5278] eta: 1:07:27 lr: 3.773984876830808e-05 loss: 0.1173 (0.1210) loss_seg: 0.1162 (0.1200) loss_lansim: 0.1023 (0.0928) loss_contra: 0.0012 (0.0091) time: 2.9104 data: 0.0059 max mem: 31630 Epoch: [10] [3900/5278] eta: 1:06:58 lr: 3.773764959745866e-05 loss: 0.1118 (0.1210) loss_seg: 0.1106 (0.1200) loss_lansim: 0.1046 (0.0928) loss_contra: 0.0014 (0.0091) time: 2.9106 data: 0.0059 max mem: 31630 Epoch: [10] [3910/5278] eta: 1:06:29 lr: 3.773545041236944e-05 loss: 0.1115 (0.1210) loss_seg: 0.1103 (0.1200) loss_lansim: 0.1056 (0.0929) loss_contra: 0.0015 (0.0091) time: 2.9150 data: 0.0060 max mem: 31630 Epoch: [10] [3920/5278] eta: 1:06:00 lr: 3.773325121303944e-05 loss: 0.1067 (0.1210) loss_seg: 0.1056 (0.1200) loss_lansim: 0.1051 (0.0929) loss_contra: 0.0016 (0.0091) time: 2.9208 data: 0.0060 max mem: 31630 Epoch: [10] [3930/5278] eta: 1:05:30 lr: 3.773105199946762e-05 loss: 0.1039 (0.1209) loss_seg: 0.1028 (0.1199) loss_lansim: 0.1051 (0.0929) loss_contra: 0.0017 (0.0092) time: 2.9138 data: 0.0061 max mem: 31630 Epoch: [10] [3940/5278] eta: 1:05:01 lr: 3.772885277165297e-05 loss: 0.1067 (0.1210) loss_seg: 0.1056 (0.1200) loss_lansim: 0.1040 (0.0929) loss_contra: 0.0012 (0.0092) time: 2.9212 data: 0.0061 max mem: 31630 Epoch: [10] [3950/5278] eta: 1:04:32 lr: 3.7726653529594486e-05 loss: 0.1067 (0.1210) loss_seg: 0.1056 (0.1200) loss_lansim: 0.1033 (0.0930) loss_contra: 0.0018 (0.0093) time: 2.9238 data: 0.0061 max mem: 31630 Epoch: [10] [3960/5278] eta: 1:04:03 lr: 3.772445427329114e-05 loss: 0.1067 (0.1210) loss_seg: 0.1056 (0.1200) loss_lansim: 0.1033 (0.0930) loss_contra: 0.0018 (0.0093) time: 2.9221 data: 0.0061 max mem: 31630 Epoch: [10] [3970/5278] eta: 1:03:34 lr: 3.772225500274193e-05 loss: 0.1067 (0.1210) loss_seg: 0.1056 (0.1200) loss_lansim: 0.1030 (0.0930) loss_contra: 0.0017 (0.0093) time: 2.9259 data: 0.0061 max mem: 31630 Epoch: [10] [3980/5278] eta: 1:03:05 lr: 3.772005571794582e-05 loss: 0.1097 (0.1211) loss_seg: 0.1079 (0.1200) loss_lansim: 0.1019 (0.0930) loss_contra: 0.0020 (0.0093) time: 2.9258 data: 0.0061 max mem: 31630 Epoch: [10] [3990/5278] eta: 1:02:36 lr: 3.771785641890182e-05 loss: 0.1123 (0.1211) loss_seg: 0.1113 (0.1200) loss_lansim: 0.1015 (0.0930) loss_contra: 0.0021 (0.0093) time: 2.9273 data: 0.0061 max mem: 31630 Epoch: [10] [4000/5278] eta: 1:02:07 lr: 3.771565710560889e-05 loss: 0.1184 (0.1211) loss_seg: 0.1176 (0.1201) loss_lansim: 0.1005 (0.0930) loss_contra: 0.0020 (0.0094) time: 2.9274 data: 0.0060 max mem: 31630 Epoch: [10] [4010/5278] eta: 1:01:37 lr: 3.7713457778066034e-05 loss: 0.1184 (0.1211) loss_seg: 0.1176 (0.1201) loss_lansim: 0.1004 (0.0931) loss_contra: 0.0021 (0.0093) time: 2.9211 data: 0.0060 max mem: 31630 Epoch: [10] [4020/5278] eta: 1:01:08 lr: 3.771125843627223e-05 loss: 0.1205 (0.1212) loss_seg: 0.1189 (0.1201) loss_lansim: 0.0985 (0.0931) loss_contra: 0.0019 (0.0094) time: 2.9182 data: 0.0060 max mem: 31630 Epoch: [10] [4030/5278] eta: 1:00:39 lr: 3.7709059080226464e-05 loss: 0.1209 (0.1212) loss_seg: 0.1199 (0.1201) loss_lansim: 0.0983 (0.0931) loss_contra: 0.0017 (0.0094) time: 2.9243 data: 0.0060 max mem: 31630 Epoch: [10] [4040/5278] eta: 1:00:10 lr: 3.770685970992771e-05 loss: 0.1227 (0.1212) loss_seg: 0.1216 (0.1202) loss_lansim: 0.0973 (0.0931) loss_contra: 0.0019 (0.0094) time: 2.9190 data: 0.0059 max mem: 31630 Epoch: [10] [4050/5278] eta: 0:59:41 lr: 3.770466032537497e-05 loss: 0.1226 (0.1212) loss_seg: 0.1216 (0.1202) loss_lansim: 0.0972 (0.0931) loss_contra: 0.0016 (0.0094) time: 2.9190 data: 0.0058 max mem: 31630 Epoch: [10] [4060/5278] eta: 0:59:12 lr: 3.7702460926567204e-05 loss: 0.1235 (0.1213) loss_seg: 0.1225 (0.1202) loss_lansim: 0.0972 (0.0931) loss_contra: 0.0017 (0.0094) time: 2.9184 data: 0.0059 max mem: 31630 Epoch: [10] [4070/5278] eta: 0:58:42 lr: 3.770026151350341e-05 loss: 0.1226 (0.1212) loss_seg: 0.1216 (0.1202) loss_lansim: 0.0976 (0.0932) loss_contra: 0.0017 (0.0094) time: 2.9199 data: 0.0058 max mem: 31630 Epoch: [10] [4080/5278] eta: 0:58:13 lr: 3.769806208618259e-05 loss: 0.1223 (0.1212) loss_seg: 0.1212 (0.1202) loss_lansim: 0.0980 (0.0932) loss_contra: 0.0013 (0.0094) time: 2.9169 data: 0.0059 max mem: 31630 Epoch: [10] [4090/5278] eta: 0:57:44 lr: 3.769586264460369e-05 loss: 0.1223 (0.1212) loss_seg: 0.1212 (0.1202) loss_lansim: 0.0973 (0.0932) loss_contra: 0.0014 (0.0094) time: 2.9201 data: 0.0059 max mem: 31630 Epoch: [10] [4100/5278] eta: 0:57:15 lr: 3.769366318876572e-05 loss: 0.1226 (0.1213) loss_seg: 0.1215 (0.1202) loss_lansim: 0.0968 (0.0932) loss_contra: 0.0015 (0.0094) time: 2.9187 data: 0.0059 max mem: 31630 Epoch: [10] [4110/5278] eta: 0:56:46 lr: 3.769146371866765e-05 loss: 0.1226 (0.1212) loss_seg: 0.1215 (0.1202) loss_lansim: 0.0963 (0.0932) loss_contra: 0.0013 (0.0094) time: 2.9195 data: 0.0058 max mem: 31630 Epoch: [10] [4120/5278] eta: 0:56:17 lr: 3.768926423430845e-05 loss: 0.1226 (0.1212) loss_seg: 0.1216 (0.1202) loss_lansim: 0.0959 (0.0932) loss_contra: 0.0014 (0.0095) time: 2.9236 data: 0.0059 max mem: 31630 Epoch: [10] [4130/5278] eta: 0:55:48 lr: 3.768706473568714e-05 loss: 0.1229 (0.1213) loss_seg: 0.1218 (0.1203) loss_lansim: 0.0957 (0.0932) loss_contra: 0.0016 (0.0094) time: 2.9224 data: 0.0059 max mem: 31630 Epoch: [10] [4140/5278] eta: 0:55:18 lr: 3.768486522280268e-05 loss: 0.1228 (0.1213) loss_seg: 0.1218 (0.1203) loss_lansim: 0.0953 (0.0932) loss_contra: 0.0016 (0.0095) time: 2.9238 data: 0.0059 max mem: 31630 Epoch: [10] [4150/5278] eta: 0:54:49 lr: 3.7682665695654046e-05 loss: 0.1203 (0.1213) loss_seg: 0.1193 (0.1203) loss_lansim: 0.0957 (0.0932) loss_contra: 0.0016 (0.0095) time: 2.9274 data: 0.0059 max mem: 31630 Epoch: [10] [4160/5278] eta: 0:54:20 lr: 3.768046615424024e-05 loss: 0.1188 (0.1213) loss_seg: 0.1169 (0.1203) loss_lansim: 0.0948 (0.0932) loss_contra: 0.0016 (0.0096) time: 2.9242 data: 0.0058 max mem: 31630 Epoch: [10] [4170/5278] eta: 0:53:51 lr: 3.767826659856022e-05 loss: 0.1182 (0.1213) loss_seg: 0.1161 (0.1203) loss_lansim: 0.0936 (0.0932) loss_contra: 0.0017 (0.0096) time: 2.9191 data: 0.0058 max mem: 31630 Epoch: [10] [4180/5278] eta: 0:53:22 lr: 3.7676067028612996e-05 loss: 0.1165 (0.1213) loss_seg: 0.1154 (0.1202) loss_lansim: 0.0933 (0.0932) loss_contra: 0.0018 (0.0096) time: 2.9260 data: 0.0058 max mem: 31630 Epoch: [10] [4190/5278] eta: 0:52:53 lr: 3.7673867444397525e-05 loss: 0.1155 (0.1213) loss_seg: 0.1145 (0.1202) loss_lansim: 0.0935 (0.0932) loss_contra: 0.0019 (0.0096) time: 2.9275 data: 0.0058 max mem: 31630 Epoch: [10] [4200/5278] eta: 0:52:24 lr: 3.76716678459128e-05 loss: 0.1087 (0.1213) loss_seg: 0.1076 (0.1202) loss_lansim: 0.0935 (0.0932) loss_contra: 0.0019 (0.0095) time: 2.9271 data: 0.0058 max mem: 31630 Epoch: [10] [4210/5278] eta: 0:51:54 lr: 3.7669468233157814e-05 loss: 0.1144 (0.1213) loss_seg: 0.1135 (0.1203) loss_lansim: 0.0942 (0.0933) loss_contra: 0.0026 (0.0095) time: 2.9266 data: 0.0058 max mem: 31630 Epoch: [10] [4220/5278] eta: 0:51:25 lr: 3.766726860613152e-05 loss: 0.1100 (0.1213) loss_seg: 0.1089 (0.1203) loss_lansim: 0.0951 (0.0933) loss_contra: 0.0026 (0.0095) time: 2.9235 data: 0.0058 max mem: 31630 Epoch: [10] [4230/5278] eta: 0:50:56 lr: 3.766506896483293e-05 loss: 0.1079 (0.1214) loss_seg: 0.1068 (0.1203) loss_lansim: 0.0952 (0.0933) loss_contra: 0.0026 (0.0095) time: 2.9214 data: 0.0058 max mem: 31630 Epoch: [10] [4240/5278] eta: 0:50:27 lr: 3.766286930926101e-05 loss: 0.1079 (0.1214) loss_seg: 0.1068 (0.1203) loss_lansim: 0.0956 (0.0933) loss_contra: 0.0026 (0.0095) time: 2.9224 data: 0.0058 max mem: 31630 Epoch: [10] [4250/5278] eta: 0:49:58 lr: 3.766066963941473e-05 loss: 0.1083 (0.1213) loss_seg: 0.1073 (0.1203) loss_lansim: 0.0951 (0.0933) loss_contra: 0.0021 (0.0095) time: 2.9176 data: 0.0058 max mem: 31630 Epoch: [10] [4260/5278] eta: 0:49:29 lr: 3.765846995529308e-05 loss: 0.1049 (0.1214) loss_seg: 0.1039 (0.1203) loss_lansim: 0.0953 (0.0933) loss_contra: 0.0017 (0.0095) time: 2.9187 data: 0.0058 max mem: 31630 Epoch: [10] [4270/5278] eta: 0:48:59 lr: 3.765627025689506e-05 loss: 0.1137 (0.1214) loss_seg: 0.1128 (0.1204) loss_lansim: 0.0964 (0.0933) loss_contra: 0.0014 (0.0095) time: 2.9223 data: 0.0058 max mem: 31630 Epoch: [10] [4280/5278] eta: 0:48:30 lr: 3.7654070544219625e-05 loss: 0.1191 (0.1214) loss_seg: 0.1175 (0.1204) loss_lansim: 0.0964 (0.0933) loss_contra: 0.0012 (0.0095) time: 2.9184 data: 0.0058 max mem: 31630 Epoch: [10] [4290/5278] eta: 0:48:01 lr: 3.765187081726578e-05 loss: 0.1191 (0.1214) loss_seg: 0.1175 (0.1204) loss_lansim: 0.0968 (0.0934) loss_contra: 0.0009 (0.0095) time: 2.9131 data: 0.0058 max mem: 31630 Epoch: [10] [4300/5278] eta: 0:47:32 lr: 3.7649671076032476e-05 loss: 0.1224 (0.1215) loss_seg: 0.1213 (0.1204) loss_lansim: 0.0984 (0.0934) loss_contra: 0.0009 (0.0095) time: 2.9152 data: 0.0058 max mem: 31630 Epoch: [10] [4310/5278] eta: 0:47:03 lr: 3.764747132051871e-05 loss: 0.1210 (0.1215) loss_seg: 0.1188 (0.1205) loss_lansim: 0.0981 (0.0934) loss_contra: 0.0008 (0.0095) time: 2.9169 data: 0.0058 max mem: 31630 Epoch: [10] [4320/5278] eta: 0:46:34 lr: 3.7645271550723466e-05 loss: 0.1210 (0.1215) loss_seg: 0.1188 (0.1205) loss_lansim: 0.0981 (0.0934) loss_contra: 0.0008 (0.0095) time: 2.9176 data: 0.0058 max mem: 31630 Epoch: [10] [4330/5278] eta: 0:46:05 lr: 3.764307176664571e-05 loss: 0.1200 (0.1215) loss_seg: 0.1181 (0.1205) loss_lansim: 0.0984 (0.0934) loss_contra: 0.0008 (0.0096) time: 2.9222 data: 0.0058 max mem: 31630 Epoch: [10] [4340/5278] eta: 0:45:35 lr: 3.7640871968284434e-05 loss: 0.1172 (0.1215) loss_seg: 0.1161 (0.1205) loss_lansim: 0.0993 (0.0934) loss_contra: 0.0008 (0.0097) time: 2.9172 data: 0.0058 max mem: 31630 Epoch: [10] [4350/5278] eta: 0:45:06 lr: 3.763867215563862e-05 loss: 0.1164 (0.1215) loss_seg: 0.1155 (0.1205) loss_lansim: 0.0997 (0.0935) loss_contra: 0.0009 (0.0097) time: 2.9109 data: 0.0058 max mem: 31630 Epoch: [10] [4360/5278] eta: 0:44:37 lr: 3.763647232870724e-05 loss: 0.1135 (0.1215) loss_seg: 0.1125 (0.1204) loss_lansim: 0.1004 (0.0935) loss_contra: 0.0010 (0.0097) time: 2.9118 data: 0.0058 max mem: 31630 Epoch: [10] [4370/5278] eta: 0:44:08 lr: 3.763427248748927e-05 loss: 0.1122 (0.1215) loss_seg: 0.1111 (0.1205) loss_lansim: 0.1004 (0.0935) loss_contra: 0.0014 (0.0097) time: 2.9136 data: 0.0058 max mem: 31630 Epoch: [10] [4380/5278] eta: 0:43:38 lr: 3.7632072631983695e-05 loss: 0.1135 (0.1215) loss_seg: 0.1124 (0.1205) loss_lansim: 0.1018 (0.0935) loss_contra: 0.0020 (0.0097) time: 2.9036 data: 0.0058 max mem: 31630 Epoch: [10] [4390/5278] eta: 0:43:09 lr: 3.7629872762189486e-05 loss: 0.1122 (0.1215) loss_seg: 0.1111 (0.1205) loss_lansim: 0.1027 (0.0936) loss_contra: 0.0021 (0.0097) time: 2.8995 data: 0.0058 max mem: 31630 Epoch: [10] [4400/5278] eta: 0:42:40 lr: 3.762767287810565e-05 loss: 0.1120 (0.1215) loss_seg: 0.1101 (0.1204) loss_lansim: 0.1030 (0.0936) loss_contra: 0.0021 (0.0097) time: 2.8999 data: 0.0057 max mem: 31630 Epoch: [10] [4410/5278] eta: 0:42:11 lr: 3.7625472979731125e-05 loss: 0.1091 (0.1215) loss_seg: 0.1080 (0.1204) loss_lansim: 0.1034 (0.0936) loss_contra: 0.0021 (0.0097) time: 2.8918 data: 0.0058 max mem: 31630 Epoch: [10] [4420/5278] eta: 0:41:41 lr: 3.762327306706492e-05 loss: 0.1114 (0.1215) loss_seg: 0.1101 (0.1204) loss_lansim: 0.1038 (0.0936) loss_contra: 0.0024 (0.0097) time: 2.8866 data: 0.0058 max mem: 31630 Epoch: [10] [4430/5278] eta: 0:41:12 lr: 3.7621073140106e-05 loss: 0.1102 (0.1215) loss_seg: 0.1090 (0.1204) loss_lansim: 0.1042 (0.0937) loss_contra: 0.0025 (0.0097) time: 2.8827 data: 0.0058 max mem: 31630 Epoch: [10] [4440/5278] eta: 0:40:43 lr: 3.761887319885335e-05 loss: 0.1087 (0.1215) loss_seg: 0.1074 (0.1204) loss_lansim: 0.1038 (0.0937) loss_contra: 0.0025 (0.0097) time: 2.8833 data: 0.0058 max mem: 31630 Epoch: [10] [4450/5278] eta: 0:40:14 lr: 3.761667324330595e-05 loss: 0.1090 (0.1215) loss_seg: 0.1080 (0.1204) loss_lansim: 0.1038 (0.0937) loss_contra: 0.0025 (0.0097) time: 2.8868 data: 0.0058 max mem: 31630 Epoch: [10] [4460/5278] eta: 0:39:45 lr: 3.761447327346276e-05 loss: 0.1090 (0.1214) loss_seg: 0.1080 (0.1204) loss_lansim: 0.1042 (0.0937) loss_contra: 0.0023 (0.0097) time: 2.8854 data: 0.0058 max mem: 31630 Epoch: [10] [4470/5278] eta: 0:39:15 lr: 3.7612273289322784e-05 loss: 0.1090 (0.1215) loss_seg: 0.1080 (0.1204) loss_lansim: 0.1051 (0.0938) loss_contra: 0.0023 (0.0097) time: 2.8839 data: 0.0058 max mem: 31630 Epoch: [10] [4480/5278] eta: 0:38:46 lr: 3.7610073290884986e-05 loss: 0.1087 (0.1214) loss_seg: 0.1074 (0.1204) loss_lansim: 0.1056 (0.0938) loss_contra: 0.0021 (0.0097) time: 2.8939 data: 0.0058 max mem: 31630 Epoch: [10] [4490/5278] eta: 0:38:17 lr: 3.760787327814834e-05 loss: 0.1073 (0.1214) loss_seg: 0.1062 (0.1204) loss_lansim: 0.1067 (0.0939) loss_contra: 0.0016 (0.0098) time: 2.9018 data: 0.0058 max mem: 31630 Epoch: [10] [4500/5278] eta: 0:37:48 lr: 3.760567325111184e-05 loss: 0.1082 (0.1214) loss_seg: 0.1072 (0.1204) loss_lansim: 0.1072 (0.0939) loss_contra: 0.0016 (0.0098) time: 2.8994 data: 0.0058 max mem: 31630 Epoch: [10] [4510/5278] eta: 0:37:19 lr: 3.7603473209774445e-05 loss: 0.1082 (0.1214) loss_seg: 0.1072 (0.1203) loss_lansim: 0.1072 (0.0939) loss_contra: 0.0016 (0.0098) time: 2.9094 data: 0.0058 max mem: 31630 Epoch: [10] [4520/5278] eta: 0:36:50 lr: 3.7601273154135136e-05 loss: 0.1085 (0.1214) loss_seg: 0.1074 (0.1204) loss_lansim: 0.1072 (0.0940) loss_contra: 0.0016 (0.0098) time: 2.9149 data: 0.0059 max mem: 31630 Epoch: [10] [4530/5278] eta: 0:36:21 lr: 3.75990730841929e-05 loss: 0.1085 (0.1214) loss_seg: 0.1074 (0.1204) loss_lansim: 0.1072 (0.0940) loss_contra: 0.0015 (0.0098) time: 2.9153 data: 0.0059 max mem: 31630 Epoch: [10] [4540/5278] eta: 0:35:51 lr: 3.759687299994671e-05 loss: 0.1085 (0.1214) loss_seg: 0.1075 (0.1204) loss_lansim: 0.1067 (0.0940) loss_contra: 0.0015 (0.0098) time: 2.9204 data: 0.0058 max mem: 31630 Epoch: [10] [4550/5278] eta: 0:35:22 lr: 3.759467290139554e-05 loss: 0.1093 (0.1215) loss_seg: 0.1081 (0.1204) loss_lansim: 0.1062 (0.0940) loss_contra: 0.0017 (0.0098) time: 2.9268 data: 0.0058 max mem: 31630 Epoch: [10] [4560/5278] eta: 0:34:53 lr: 3.759247278853837e-05 loss: 0.1142 (0.1215) loss_seg: 0.1132 (0.1205) loss_lansim: 0.1048 (0.0940) loss_contra: 0.0016 (0.0098) time: 2.9286 data: 0.0058 max mem: 31630 Epoch: [10] [4570/5278] eta: 0:34:24 lr: 3.759027266137417e-05 loss: 0.1144 (0.1216) loss_seg: 0.1133 (0.1205) loss_lansim: 0.1046 (0.0940) loss_contra: 0.0016 (0.0098) time: 2.9320 data: 0.0059 max mem: 31630 Epoch: [10] [4580/5278] eta: 0:33:55 lr: 3.758807251990193e-05 loss: 0.1135 (0.1215) loss_seg: 0.1124 (0.1205) loss_lansim: 0.1024 (0.0940) loss_contra: 0.0017 (0.0098) time: 2.9291 data: 0.0058 max mem: 31630 Epoch: [10] [4590/5278] eta: 0:33:26 lr: 3.758587236412061e-05 loss: 0.1167 (0.1215) loss_seg: 0.1158 (0.1205) loss_lansim: 0.1016 (0.0941) loss_contra: 0.0020 (0.0098) time: 2.9213 data: 0.0058 max mem: 31630 Epoch: [10] [4600/5278] eta: 0:32:57 lr: 3.7583672194029194e-05 loss: 0.1175 (0.1216) loss_seg: 0.1163 (0.1205) loss_lansim: 0.1009 (0.0941) loss_contra: 0.0025 (0.0098) time: 2.9229 data: 0.0058 max mem: 31630 Epoch: [10] [4610/5278] eta: 0:32:27 lr: 3.758147200962666e-05 loss: 0.1203 (0.1216) loss_seg: 0.1191 (0.1205) loss_lansim: 0.1000 (0.0941) loss_contra: 0.0025 (0.0098) time: 2.9116 data: 0.0058 max mem: 31630 Epoch: [10] [4620/5278] eta: 0:31:58 lr: 3.757927181091198e-05 loss: 0.1162 (0.1215) loss_seg: 0.1152 (0.1205) loss_lansim: 0.1000 (0.0941) loss_contra: 0.0018 (0.0098) time: 2.9021 data: 0.0058 max mem: 31630 Epoch: [10] [4630/5278] eta: 0:31:29 lr: 3.757707159788414e-05 loss: 0.1168 (0.1215) loss_seg: 0.1158 (0.1205) loss_lansim: 0.1009 (0.0941) loss_contra: 0.0017 (0.0098) time: 2.8989 data: 0.0058 max mem: 31630 Epoch: [10] [4640/5278] eta: 0:31:00 lr: 3.75748713705421e-05 loss: 0.1203 (0.1216) loss_seg: 0.1191 (0.1205) loss_lansim: 0.1016 (0.0942) loss_contra: 0.0017 (0.0098) time: 2.8879 data: 0.0058 max mem: 31630 Epoch: [10] [4650/5278] eta: 0:30:30 lr: 3.7572671128884846e-05 loss: 0.1204 (0.1216) loss_seg: 0.1193 (0.1205) loss_lansim: 0.1023 (0.0942) loss_contra: 0.0017 (0.0098) time: 2.8810 data: 0.0058 max mem: 31630 Epoch: [10] [4660/5278] eta: 0:30:01 lr: 3.757047087291135e-05 loss: 0.1162 (0.1216) loss_seg: 0.1152 (0.1205) loss_lansim: 0.1024 (0.0942) loss_contra: 0.0017 (0.0099) time: 2.8711 data: 0.0058 max mem: 31630 Epoch: [10] [4670/5278] eta: 0:29:32 lr: 3.756827060262058e-05 loss: 0.1182 (0.1216) loss_seg: 0.1172 (0.1206) loss_lansim: 0.1024 (0.0942) loss_contra: 0.0017 (0.0099) time: 2.8616 data: 0.0058 max mem: 31630 Epoch: [10] [4680/5278] eta: 0:29:03 lr: 3.756607031801153e-05 loss: 0.1219 (0.1217) loss_seg: 0.1207 (0.1206) loss_lansim: 0.1036 (0.0943) loss_contra: 0.0017 (0.0099) time: 2.8579 data: 0.0058 max mem: 31630 Epoch: [10] [4690/5278] eta: 0:28:33 lr: 3.7563870019083164e-05 loss: 0.1203 (0.1217) loss_seg: 0.1191 (0.1206) loss_lansim: 0.1037 (0.0943) loss_contra: 0.0021 (0.0099) time: 2.8532 data: 0.0058 max mem: 31630 Epoch: [10] [4700/5278] eta: 0:28:04 lr: 3.756166970583445e-05 loss: 0.1174 (0.1217) loss_seg: 0.1163 (0.1206) loss_lansim: 0.1039 (0.0943) loss_contra: 0.0021 (0.0099) time: 2.8519 data: 0.0058 max mem: 31630 Epoch: [10] [4710/5278] eta: 0:27:35 lr: 3.7559469378264376e-05 loss: 0.1182 (0.1217) loss_seg: 0.1172 (0.1206) loss_lansim: 0.1044 (0.0944) loss_contra: 0.0020 (0.0099) time: 2.8530 data: 0.0058 max mem: 31630 Epoch: [10] [4720/5278] eta: 0:27:06 lr: 3.755726903637191e-05 loss: 0.1219 (0.1217) loss_seg: 0.1207 (0.1207) loss_lansim: 0.1046 (0.0944) loss_contra: 0.0022 (0.0099) time: 2.8514 data: 0.0058 max mem: 31630 Epoch: [10] [4730/5278] eta: 0:26:37 lr: 3.7555068680156027e-05 loss: 0.1220 (0.1217) loss_seg: 0.1208 (0.1207) loss_lansim: 0.1055 (0.0944) loss_contra: 0.0021 (0.0099) time: 2.8595 data: 0.0058 max mem: 31630 Epoch: [10] [4740/5278] eta: 0:26:07 lr: 3.75528683096157e-05 loss: 0.1254 (0.1218) loss_seg: 0.1240 (0.1207) loss_lansim: 0.1074 (0.0945) loss_contra: 0.0022 (0.0099) time: 2.8686 data: 0.0059 max mem: 31630 Epoch: [10] [4750/5278] eta: 0:25:38 lr: 3.7550667924749896e-05 loss: 0.1275 (0.1218) loss_seg: 0.1262 (0.1208) loss_lansim: 0.1078 (0.0945) loss_contra: 0.0029 (0.0099) time: 2.8692 data: 0.0059 max mem: 31630 Epoch: [10] [4760/5278] eta: 0:25:09 lr: 3.754846752555761e-05 loss: 0.1285 (0.1219) loss_seg: 0.1274 (0.1208) loss_lansim: 0.1101 (0.0946) loss_contra: 0.0029 (0.0099) time: 2.8789 data: 0.0059 max mem: 31630 Epoch: [10] [4770/5278] eta: 0:24:40 lr: 3.754626711203779e-05 loss: 0.1223 (0.1219) loss_seg: 0.1211 (0.1208) loss_lansim: 0.1136 (0.0947) loss_contra: 0.0031 (0.0099) time: 2.8875 data: 0.0059 max mem: 31630 Epoch: [10] [4780/5278] eta: 0:24:11 lr: 3.7544066684189425e-05 loss: 0.1254 (0.1219) loss_seg: 0.1240 (0.1209) loss_lansim: 0.1162 (0.0947) loss_contra: 0.0028 (0.0099) time: 2.8920 data: 0.0059 max mem: 31630 Epoch: [10] [4790/5278] eta: 0:23:42 lr: 3.7541866242011497e-05 loss: 0.1254 (0.1219) loss_seg: 0.1240 (0.1209) loss_lansim: 0.1169 (0.0948) loss_contra: 0.0022 (0.0099) time: 2.9010 data: 0.0059 max mem: 31630 Epoch: [10] [4800/5278] eta: 0:23:13 lr: 3.753966578550296e-05 loss: 0.1260 (0.1219) loss_seg: 0.1247 (0.1209) loss_lansim: 0.1179 (0.0948) loss_contra: 0.0022 (0.0099) time: 2.9046 data: 0.0059 max mem: 31630 Epoch: [10] [4810/5278] eta: 0:22:43 lr: 3.75374653146628e-05 loss: 0.1260 (0.1220) loss_seg: 0.1247 (0.1209) loss_lansim: 0.1191 (0.0949) loss_contra: 0.0022 (0.0099) time: 2.9152 data: 0.0058 max mem: 31630 Epoch: [10] [4820/5278] eta: 0:22:14 lr: 3.753526482948999e-05 loss: 0.1260 (0.1220) loss_seg: 0.1247 (0.1210) loss_lansim: 0.1227 (0.0950) loss_contra: 0.0021 (0.0098) time: 2.9200 data: 0.0059 max mem: 31630 Epoch: [10] [4830/5278] eta: 0:21:45 lr: 3.753306432998349e-05 loss: 0.1225 (0.1220) loss_seg: 0.1208 (0.1210) loss_lansim: 0.1227 (0.0950) loss_contra: 0.0018 (0.0098) time: 2.9209 data: 0.0059 max mem: 31630 Epoch: [10] [4840/5278] eta: 0:21:16 lr: 3.753086381614228e-05 loss: 0.1194 (0.1220) loss_seg: 0.1181 (0.1210) loss_lansim: 0.1218 (0.0951) loss_contra: 0.0015 (0.0098) time: 2.9222 data: 0.0059 max mem: 31630 Epoch: [10] [4850/5278] eta: 0:20:47 lr: 3.752866328796534e-05 loss: 0.1215 (0.1221) loss_seg: 0.1203 (0.1211) loss_lansim: 0.1218 (0.0951) loss_contra: 0.0012 (0.0098) time: 2.9257 data: 0.0058 max mem: 31630 Epoch: [10] [4860/5278] eta: 0:20:18 lr: 3.7526462745451644e-05 loss: 0.1218 (0.1222) loss_seg: 0.1205 (0.1211) loss_lansim: 0.1208 (0.0951) loss_contra: 0.0009 (0.0098) time: 2.9238 data: 0.0059 max mem: 31630 Epoch: [10] [4870/5278] eta: 0:19:49 lr: 3.752426218860015e-05 loss: 0.1218 (0.1221) loss_seg: 0.1205 (0.1211) loss_lansim: 0.1203 (0.0952) loss_contra: 0.0010 (0.0098) time: 2.9261 data: 0.0060 max mem: 31630 Epoch: [10] [4880/5278] eta: 0:19:20 lr: 3.7522061617409835e-05 loss: 0.1188 (0.1221) loss_seg: 0.1175 (0.1211) loss_lansim: 0.1184 (0.0952) loss_contra: 0.0009 (0.0098) time: 2.9267 data: 0.0060 max mem: 31630 Epoch: [10] [4890/5278] eta: 0:18:50 lr: 3.7519861031879684e-05 loss: 0.1180 (0.1221) loss_seg: 0.1169 (0.1211) loss_lansim: 0.1175 (0.0953) loss_contra: 0.0010 (0.0098) time: 2.9290 data: 0.0061 max mem: 31630 Epoch: [10] [4900/5278] eta: 0:18:21 lr: 3.7517660432008655e-05 loss: 0.1188 (0.1221) loss_seg: 0.1175 (0.1211) loss_lansim: 0.1171 (0.0953) loss_contra: 0.0010 (0.0098) time: 2.9241 data: 0.0061 max mem: 31630 Epoch: [10] [4910/5278] eta: 0:17:52 lr: 3.751545981779572e-05 loss: 0.1175 (0.1221) loss_seg: 0.1162 (0.1211) loss_lansim: 0.1165 (0.0953) loss_contra: 0.0011 (0.0099) time: 2.9231 data: 0.0062 max mem: 31630 Epoch: [10] [4920/5278] eta: 0:17:23 lr: 3.7513259189239866e-05 loss: 0.1156 (0.1222) loss_seg: 0.1143 (0.1211) loss_lansim: 0.1158 (0.0954) loss_contra: 0.0011 (0.0099) time: 2.9318 data: 0.0062 max mem: 31630 Epoch: [10] [4930/5278] eta: 0:16:54 lr: 3.7511058546340045e-05 loss: 0.1174 (0.1222) loss_seg: 0.1162 (0.1211) loss_lansim: 0.1148 (0.0954) loss_contra: 0.0012 (0.0100) time: 2.9267 data: 0.0063 max mem: 31630 Epoch: [10] [4940/5278] eta: 0:16:25 lr: 3.750885788909523e-05 loss: 0.1137 (0.1222) loss_seg: 0.1127 (0.1211) loss_lansim: 0.1158 (0.0955) loss_contra: 0.0011 (0.0099) time: 2.9236 data: 0.0063 max mem: 31630 Epoch: [10] [4950/5278] eta: 0:15:56 lr: 3.750665721750442e-05 loss: 0.1115 (0.1222) loss_seg: 0.1103 (0.1211) loss_lansim: 0.1158 (0.0955) loss_contra: 0.0011 (0.0099) time: 2.9287 data: 0.0062 max mem: 31630 Epoch: [10] [4960/5278] eta: 0:15:26 lr: 3.7504456531566544e-05 loss: 0.1108 (0.1222) loss_seg: 0.1097 (0.1211) loss_lansim: 0.1164 (0.0956) loss_contra: 0.0013 (0.0099) time: 2.9292 data: 0.0063 max mem: 31630 Epoch: [10] [4970/5278] eta: 0:14:57 lr: 3.750225583128061e-05 loss: 0.1137 (0.1222) loss_seg: 0.1127 (0.1211) loss_lansim: 0.1175 (0.0956) loss_contra: 0.0013 (0.0099) time: 2.9287 data: 0.0062 max mem: 31630 Epoch: [10] [4980/5278] eta: 0:14:28 lr: 3.750005511664557e-05 loss: 0.1137 (0.1222) loss_seg: 0.1127 (0.1211) loss_lansim: 0.1176 (0.0957) loss_contra: 0.0012 (0.0099) time: 2.9313 data: 0.0062 max mem: 31630 Epoch: [10] [4990/5278] eta: 0:13:59 lr: 3.7497854387660396e-05 loss: 0.1127 (0.1222) loss_seg: 0.1116 (0.1211) loss_lansim: 0.1176 (0.0957) loss_contra: 0.0013 (0.0099) time: 2.9280 data: 0.0061 max mem: 31630 Epoch: [10] [5000/5278] eta: 0:13:30 lr: 3.749565364432407e-05 loss: 0.1127 (0.1222) loss_seg: 0.1116 (0.1211) loss_lansim: 0.1180 (0.0957) loss_contra: 0.0012 (0.0099) time: 2.9353 data: 0.0061 max mem: 31630 Epoch: [10] [5010/5278] eta: 0:13:01 lr: 3.7493452886635544e-05 loss: 0.1137 (0.1222) loss_seg: 0.1127 (0.1211) loss_lansim: 0.1176 (0.0958) loss_contra: 0.0011 (0.0099) time: 2.9374 data: 0.0059 max mem: 31630 Epoch: [10] [5020/5278] eta: 0:12:32 lr: 3.74912521145938e-05 loss: 0.1118 (0.1222) loss_seg: 0.1107 (0.1211) loss_lansim: 0.1172 (0.0958) loss_contra: 0.0014 (0.0099) time: 2.9292 data: 0.0059 max mem: 31630 Epoch: [10] [5030/5278] eta: 0:12:02 lr: 3.748905132819781e-05 loss: 0.1119 (0.1222) loss_seg: 0.1107 (0.1211) loss_lansim: 0.1167 (0.0958) loss_contra: 0.0011 (0.0099) time: 2.9321 data: 0.0059 max mem: 31630 Epoch: [10] [5040/5278] eta: 0:11:33 lr: 3.7486850527446534e-05 loss: 0.1133 (0.1222) loss_seg: 0.1121 (0.1212) loss_lansim: 0.1151 (0.0958) loss_contra: 0.0015 (0.0099) time: 2.9382 data: 0.0059 max mem: 31630 Epoch: [10] [5050/5278] eta: 0:11:04 lr: 3.748464971233895e-05 loss: 0.1145 (0.1223) loss_seg: 0.1133 (0.1213) loss_lansim: 0.1106 (0.0958) loss_contra: 0.0015 (0.0099) time: 2.9340 data: 0.0060 max mem: 31630 Epoch: [10] [5060/5278] eta: 0:10:35 lr: 3.7482448882874025e-05 loss: 0.1166 (0.1224) loss_seg: 0.1151 (0.1213) loss_lansim: 0.1063 (0.0957) loss_contra: 0.0015 (0.0099) time: 2.9377 data: 0.0060 max mem: 31630 Epoch: [10] [5070/5278] eta: 0:10:06 lr: 3.748024803905073e-05 loss: 0.1148 (0.1224) loss_seg: 0.1139 (0.1214) loss_lansim: 0.1010 (0.0957) loss_contra: 0.0014 (0.0098) time: 2.9401 data: 0.0061 max mem: 31630 Epoch: [10] [5080/5278] eta: 0:09:37 lr: 3.747804718086804e-05 loss: 0.1214 (0.1225) loss_seg: 0.1204 (0.1214) loss_lansim: 0.0944 (0.0957) loss_contra: 0.0015 (0.0099) time: 2.9375 data: 0.0061 max mem: 31630 Epoch: [10] [5090/5278] eta: 0:09:08 lr: 3.7475846308324916e-05 loss: 0.1228 (0.1225) loss_seg: 0.1220 (0.1215) loss_lansim: 0.0873 (0.0957) loss_contra: 0.0015 (0.0099) time: 2.9365 data: 0.0061 max mem: 31630 Epoch: [10] [5100/5278] eta: 0:08:38 lr: 3.747364542142033e-05 loss: 0.1297 (0.1225) loss_seg: 0.1289 (0.1215) loss_lansim: 0.0849 (0.0956) loss_contra: 0.0015 (0.0099) time: 2.9389 data: 0.0062 max mem: 31630 Epoch: [10] [5110/5278] eta: 0:08:09 lr: 3.747144452015325e-05 loss: 0.1339 (0.1226) loss_seg: 0.1329 (0.1215) loss_lansim: 0.0841 (0.0956) loss_contra: 0.0015 (0.0098) time: 2.9327 data: 0.0062 max mem: 31630 Epoch: [10] [5120/5278] eta: 0:07:40 lr: 3.746924360452264e-05 loss: 0.1314 (0.1226) loss_seg: 0.1305 (0.1215) loss_lansim: 0.0830 (0.0956) loss_contra: 0.0015 (0.0098) time: 2.9319 data: 0.0062 max mem: 31630 Epoch: [10] [5130/5278] eta: 0:07:11 lr: 3.7467042674527485e-05 loss: 0.1393 (0.1226) loss_seg: 0.1386 (0.1216) loss_lansim: 0.0826 (0.0956) loss_contra: 0.0016 (0.0098) time: 2.9332 data: 0.0061 max mem: 31630 Epoch: [10] [5140/5278] eta: 0:06:42 lr: 3.746484173016674e-05 loss: 0.1372 (0.1227) loss_seg: 0.1365 (0.1216) loss_lansim: 0.0821 (0.0955) loss_contra: 0.0015 (0.0098) time: 2.9285 data: 0.0060 max mem: 31630 Epoch: [10] [5150/5278] eta: 0:06:13 lr: 3.7462640771439376e-05 loss: 0.1356 (0.1227) loss_seg: 0.1346 (0.1216) loss_lansim: 0.0816 (0.0955) loss_contra: 0.0016 (0.0098) time: 2.9285 data: 0.0059 max mem: 31630 Epoch: [10] [5160/5278] eta: 0:05:44 lr: 3.746043979834436e-05 loss: 0.1371 (0.1227) loss_seg: 0.1363 (0.1217) loss_lansim: 0.0822 (0.0955) loss_contra: 0.0014 (0.0098) time: 2.9240 data: 0.0059 max mem: 31630 Epoch: [10] [5170/5278] eta: 0:05:14 lr: 3.745823881088066e-05 loss: 0.1371 (0.1227) loss_seg: 0.1363 (0.1217) loss_lansim: 0.0821 (0.0955) loss_contra: 0.0015 (0.0098) time: 2.9149 data: 0.0058 max mem: 31630 Epoch: [10] [5180/5278] eta: 0:04:45 lr: 3.745603780904725e-05 loss: 0.1322 (0.1227) loss_seg: 0.1313 (0.1217) loss_lansim: 0.0822 (0.0955) loss_contra: 0.0013 (0.0098) time: 2.9188 data: 0.0058 max mem: 31630 Epoch: [10] [5190/5278] eta: 0:04:16 lr: 3.7453836792843095e-05 loss: 0.1314 (0.1227) loss_seg: 0.1305 (0.1217) loss_lansim: 0.0830 (0.0954) loss_contra: 0.0012 (0.0098) time: 2.9193 data: 0.0057 max mem: 31630 Epoch: [10] [5200/5278] eta: 0:03:47 lr: 3.7451635762267157e-05 loss: 0.1287 (0.1228) loss_seg: 0.1278 (0.1217) loss_lansim: 0.0830 (0.0954) loss_contra: 0.0011 (0.0098) time: 2.9158 data: 0.0057 max mem: 31630 Epoch: [10] [5210/5278] eta: 0:03:18 lr: 3.744943471731842e-05 loss: 0.1267 (0.1228) loss_seg: 0.1258 (0.1217) loss_lansim: 0.0835 (0.0954) loss_contra: 0.0012 (0.0097) time: 2.9158 data: 0.0058 max mem: 31630 Epoch: [10] [5220/5278] eta: 0:02:49 lr: 3.744723365799583e-05 loss: 0.1312 (0.1229) loss_seg: 0.1303 (0.1218) loss_lansim: 0.0845 (0.0954) loss_contra: 0.0011 (0.0097) time: 2.9181 data: 0.0058 max mem: 31630 Epoch: [10] [5230/5278] eta: 0:02:19 lr: 3.744503258429837e-05 loss: 0.1287 (0.1229) loss_seg: 0.1278 (0.1218) loss_lansim: 0.0843 (0.0953) loss_contra: 0.0010 (0.0097) time: 2.9186 data: 0.0058 max mem: 31630 Epoch: [10] [5240/5278] eta: 0:01:50 lr: 3.7442831496225e-05 loss: 0.1292 (0.1229) loss_seg: 0.1282 (0.1219) loss_lansim: 0.0845 (0.0953) loss_contra: 0.0011 (0.0097) time: 2.9220 data: 0.0058 max mem: 31630 Epoch: [10] [5250/5278] eta: 0:01:21 lr: 3.7440630393774684e-05 loss: 0.1289 (0.1229) loss_seg: 0.1281 (0.1219) loss_lansim: 0.0845 (0.0953) loss_contra: 0.0010 (0.0097) time: 2.9216 data: 0.0058 max mem: 31630 Epoch: [10] [5260/5278] eta: 0:00:52 lr: 3.743842927694641e-05 loss: 0.1284 (0.1229) loss_seg: 0.1274 (0.1219) loss_lansim: 0.0845 (0.0953) loss_contra: 0.0010 (0.0097) time: 2.9262 data: 0.0058 max mem: 31630 Epoch: [10] [5270/5278] eta: 0:00:23 lr: 3.7436228145739116e-05 loss: 0.1284 (0.1229) loss_seg: 0.1274 (0.1219) loss_lansim: 0.0853 (0.0953) loss_contra: 0.0012 (0.0097) time: 2.9281 data: 0.0058 max mem: 31630 Epoch: [10] Total time: 4:16:29 Test: [ 0/2573] eta: 1:00:17 time: 1.4060 data: 1.2382 max mem: 31630 Test: [ 100/2573] eta: 0:06:16 time: 0.1397 data: 0.0015 max mem: 31630 Test: [ 200/2573] eta: 0:05:52 time: 0.1452 data: 0.0016 max mem: 31630 Test: [ 300/2573] eta: 0:05:31 time: 0.1399 data: 0.0016 max mem: 31630 Test: [ 400/2573] eta: 0:05:15 time: 0.1435 data: 0.0016 max mem: 31630 Test: [ 500/2573] eta: 0:05:00 time: 0.1434 data: 0.0016 max mem: 31630 Test: [ 600/2573] eta: 0:04:45 time: 0.1449 data: 0.0016 max mem: 31630 Test: [ 700/2573] eta: 0:04:32 time: 0.1488 data: 0.0016 max mem: 31630 Test: [ 800/2573] eta: 0:04:17 time: 0.1455 data: 0.0016 max mem: 31630 Test: [ 900/2573] eta: 0:04:03 time: 0.1460 data: 0.0016 max mem: 31630 Test: [1000/2573] eta: 0:03:48 time: 0.1449 data: 0.0016 max mem: 31630 Test: [1100/2573] eta: 0:03:34 time: 0.1438 data: 0.0016 max mem: 31630 Test: [1200/2573] eta: 0:03:19 time: 0.1462 data: 0.0016 max mem: 31630 Test: [1300/2573] eta: 0:03:04 time: 0.1446 data: 0.0016 max mem: 31630 Test: [1400/2573] eta: 0:02:50 time: 0.1407 data: 0.0016 max mem: 31630 Test: [1500/2573] eta: 0:02:35 time: 0.1451 data: 0.0016 max mem: 31630 Test: [1600/2573] eta: 0:02:21 time: 0.1443 data: 0.0016 max mem: 31630 Test: [1700/2573] eta: 0:02:06 time: 0.1451 data: 0.0016 max mem: 31630 Test: [1800/2573] eta: 0:01:52 time: 0.1448 data: 0.0017 max mem: 31630 Test: [1900/2573] eta: 0:01:37 time: 0.1417 data: 0.0016 max mem: 31630 Test: [2000/2573] eta: 0:01:22 time: 0.1409 data: 0.0016 max mem: 31630 Test: [2100/2573] eta: 0:01:08 time: 0.1452 data: 0.0016 max mem: 31630 Test: [2200/2573] eta: 0:00:53 time: 0.1398 data: 0.0016 max mem: 31630 Test: [2300/2573] eta: 0:00:39 time: 0.1453 data: 0.0016 max mem: 31630 Test: [2400/2573] eta: 0:00:24 time: 0.1427 data: 0.0015 max mem: 31630 Test: [2500/2573] eta: 0:00:10 time: 0.1452 data: 0.0016 max mem: 31630 Test: Total time: 0:06:11 Final results: precision@0.5 = 55.11 precision@0.6 = 49.16 precision@0.7 = 41.34 precision@0.8 = 30.43 precision@0.9 = 12.58 overall IoU = 50.24 mean IoU = 49.25 Epoch: [11] [ 0/5278] eta: 6:51:07 lr: 3.74344672304197e-05 loss: 0.1422 (0.1422) loss_seg: 0.1413 (0.1413) loss_lansim: 0.0902 (0.0902) loss_contra: 0.0000 (0.0000) time: 4.6736 data: 1.3697 max mem: 31630 Epoch: [11] [ 10/5278] eta: 4:28:16 lr: 3.743226607332759e-05 loss: 0.1266 (0.1277) loss_seg: 0.1257 (0.1268) loss_lansim: 0.0872 (0.0867) loss_contra: 0.0010 (0.0080) time: 3.0555 data: 0.1298 max mem: 31630 Epoch: [11] [ 20/5278] eta: 4:22:57 lr: 3.743006490185359e-05 loss: 0.1245 (0.1236) loss_seg: 0.1231 (0.1227) loss_lansim: 0.0872 (0.0886) loss_contra: 0.0010 (0.0074) time: 3.0007 data: 0.0706 max mem: 31630 Epoch: [11] [ 30/5278] eta: 4:21:38 lr: 3.742786371599664e-05 loss: 0.1193 (0.1175) loss_seg: 0.1184 (0.1165) loss_lansim: 0.0892 (0.0902) loss_contra: 0.0015 (0.0118) time: 2.9913 data: 0.0499 max mem: 31630 Epoch: [11] [ 40/5278] eta: 4:20:47 lr: 3.742566251575573e-05 loss: 0.1179 (0.1161) loss_seg: 0.1170 (0.1151) loss_lansim: 0.0881 (0.0886) loss_contra: 0.0014 (0.0131) time: 2.9872 data: 0.0393 max mem: 31630 Epoch: [11] [ 50/5278] eta: 4:19:46 lr: 3.742346130112982e-05 loss: 0.1193 (0.1167) loss_seg: 0.1184 (0.1157) loss_lansim: 0.0872 (0.0873) loss_contra: 0.0018 (0.0118) time: 2.9814 data: 0.0329 max mem: 31630 Epoch: [11] [ 60/5278] eta: 4:18:12 lr: 3.742126007211787e-05 loss: 0.1187 (0.1164) loss_seg: 0.1179 (0.1154) loss_lansim: 0.0872 (0.0871) loss_contra: 0.0015 (0.0100) time: 2.9690 data: 0.0286 max mem: 31630 Epoch: [11] [ 70/5278] eta: 4:17:03 lr: 3.741905882871885e-05 loss: 0.1197 (0.1178) loss_seg: 0.1188 (0.1169) loss_lansim: 0.0855 (0.0862) loss_contra: 0.0016 (0.0097) time: 2.9615 data: 0.0255 max mem: 31630 Epoch: [11] [ 80/5278] eta: 4:15:41 lr: 3.741685757093172e-05 loss: 0.1170 (0.1157) loss_seg: 0.1161 (0.1148) loss_lansim: 0.0847 (0.0861) loss_contra: 0.0015 (0.0090) time: 2.9515 data: 0.0231 max mem: 31630 Epoch: [11] [ 90/5278] eta: 4:15:08 lr: 3.741465629875546e-05 loss: 0.1170 (0.1150) loss_seg: 0.1161 (0.1141) loss_lansim: 0.0852 (0.0865) loss_contra: 0.0011 (0.0084) time: 2.9507 data: 0.0212 max mem: 31630 Epoch: [11] [ 100/5278] eta: 4:14:51 lr: 3.7412455012189026e-05 loss: 0.1150 (0.1143) loss_seg: 0.1142 (0.1134) loss_lansim: 0.0846 (0.0860) loss_contra: 0.0016 (0.0079) time: 2.9359 data: 0.0062 max mem: 31630 Epoch: [11] [ 110/5278] eta: 4:14:08 lr: 3.741025371123137e-05 loss: 0.1110 (0.1139) loss_seg: 0.1102 (0.1129) loss_lansim: 0.0844 (0.0863) loss_contra: 0.0016 (0.0081) time: 2.9390 data: 0.0062 max mem: 31630 Epoch: [11] [ 120/5278] eta: 4:13:12 lr: 3.7408052395881475e-05 loss: 0.1070 (0.1126) loss_seg: 0.1058 (0.1116) loss_lansim: 0.0844 (0.0863) loss_contra: 0.0016 (0.0081) time: 2.9339 data: 0.0063 max mem: 31630 Epoch: [11] [ 130/5278] eta: 4:12:39 lr: 3.7405851066138304e-05 loss: 0.1048 (0.1122) loss_seg: 0.1040 (0.1112) loss_lansim: 0.0840 (0.0863) loss_contra: 0.0016 (0.0119) time: 2.9304 data: 0.0062 max mem: 31630 Epoch: [11] [ 140/5278] eta: 4:12:10 lr: 3.740364972200082e-05 loss: 0.1048 (0.1129) loss_seg: 0.1040 (0.1119) loss_lansim: 0.0841 (0.0863) loss_contra: 0.0017 (0.0123) time: 2.9276 data: 0.0061 max mem: 31630 Epoch: [11] [ 150/5278] eta: 4:11:32 lr: 3.740144836346798e-05 loss: 0.1017 (0.1123) loss_seg: 0.1008 (0.1113) loss_lansim: 0.0851 (0.0866) loss_contra: 0.0016 (0.0129) time: 2.9236 data: 0.0061 max mem: 31630 Epoch: [11] [ 160/5278] eta: 4:11:09 lr: 3.739924699053876e-05 loss: 0.0994 (0.1108) loss_seg: 0.0985 (0.1098) loss_lansim: 0.0854 (0.0868) loss_contra: 0.0017 (0.0125) time: 2.9293 data: 0.0060 max mem: 31630 Epoch: [11] [ 170/5278] eta: 4:10:42 lr: 3.739704560321211e-05 loss: 0.0988 (0.1104) loss_seg: 0.0979 (0.1094) loss_lansim: 0.0859 (0.0866) loss_contra: 0.0017 (0.0134) time: 2.9330 data: 0.0059 max mem: 31630 Epoch: [11] [ 180/5278] eta: 4:09:50 lr: 3.7394844201487004e-05 loss: 0.0988 (0.1097) loss_seg: 0.0979 (0.1087) loss_lansim: 0.0861 (0.0866) loss_contra: 0.0019 (0.0129) time: 2.9317 data: 0.0059 max mem: 31630 Epoch: [11] [ 190/5278] eta: 4:09:18 lr: 3.739264278536241e-05 loss: 0.0988 (0.1096) loss_seg: 0.0979 (0.1086) loss_lansim: 0.0859 (0.0864) loss_contra: 0.0023 (0.0140) time: 2.9303 data: 0.0059 max mem: 31630 Epoch: [11] [ 200/5278] eta: 4:08:53 lr: 3.739044135483729e-05 loss: 0.0987 (0.1087) loss_seg: 0.0976 (0.1078) loss_lansim: 0.0862 (0.0863) loss_contra: 0.0020 (0.0135) time: 2.9286 data: 0.0059 max mem: 31630 Epoch: [11] [ 210/5278] eta: 4:08:16 lr: 3.73882399099106e-05 loss: 0.0987 (0.1098) loss_seg: 0.0976 (0.1088) loss_lansim: 0.0863 (0.0866) loss_contra: 0.0023 (0.0138) time: 2.9267 data: 0.0059 max mem: 31630 Epoch: [11] [ 220/5278] eta: 4:07:42 lr: 3.7386038450581306e-05 loss: 0.0987 (0.1093) loss_seg: 0.0976 (0.1083) loss_lansim: 0.0860 (0.0865) loss_contra: 0.0024 (0.0148) time: 2.9299 data: 0.0058 max mem: 31630 Epoch: [11] [ 230/5278] eta: 4:07:12 lr: 3.738383697684838e-05 loss: 0.0985 (0.1089) loss_seg: 0.0974 (0.1079) loss_lansim: 0.0851 (0.0865) loss_contra: 0.0029 (0.0151) time: 2.9296 data: 0.0058 max mem: 31630 Epoch: [11] [ 240/5278] eta: 4:06:45 lr: 3.738163548871077e-05 loss: 0.0985 (0.1094) loss_seg: 0.0974 (0.1084) loss_lansim: 0.0851 (0.0865) loss_contra: 0.0024 (0.0149) time: 2.9301 data: 0.0057 max mem: 31630 Epoch: [11] [ 250/5278] eta: 4:06:16 lr: 3.7379433986167454e-05 loss: 0.0977 (0.1094) loss_seg: 0.0970 (0.1083) loss_lansim: 0.0851 (0.0866) loss_contra: 0.0024 (0.0149) time: 2.9326 data: 0.0057 max mem: 31630 Epoch: [11] [ 260/5278] eta: 4:05:51 lr: 3.7377232469217384e-05 loss: 0.1003 (0.1094) loss_seg: 0.0995 (0.1084) loss_lansim: 0.0850 (0.0867) loss_contra: 0.0027 (0.0148) time: 2.9320 data: 0.0056 max mem: 31630 Epoch: [11] [ 270/5278] eta: 4:05:18 lr: 3.737503093785952e-05 loss: 0.1003 (0.1096) loss_seg: 0.0995 (0.1086) loss_lansim: 0.0851 (0.0867) loss_contra: 0.0027 (0.0158) time: 2.9289 data: 0.0056 max mem: 31630 Epoch: [11] [ 280/5278] eta: 4:04:42 lr: 3.7372829392092854e-05 loss: 0.0991 (0.1104) loss_seg: 0.0981 (0.1093) loss_lansim: 0.0851 (0.0868) loss_contra: 0.0027 (0.0155) time: 2.9323 data: 0.0055 max mem: 31630 Epoch: [11] [ 290/5278] eta: 4:04:14 lr: 3.737062783191631e-05 loss: 0.0989 (0.1106) loss_seg: 0.0975 (0.1096) loss_lansim: 0.0863 (0.0867) loss_contra: 0.0024 (0.0156) time: 2.9338 data: 0.0055 max mem: 31630 Epoch: [11] [ 300/5278] eta: 4:03:39 lr: 3.736842625732888e-05 loss: 0.1011 (0.1111) loss_seg: 0.1003 (0.1101) loss_lansim: 0.0866 (0.0867) loss_contra: 0.0024 (0.0153) time: 2.9287 data: 0.0055 max mem: 31630 Epoch: [11] [ 310/5278] eta: 4:03:07 lr: 3.73662246683295e-05 loss: 0.1010 (0.1111) loss_seg: 0.1000 (0.1101) loss_lansim: 0.0851 (0.0866) loss_contra: 0.0024 (0.0151) time: 2.9301 data: 0.0055 max mem: 31630 Epoch: [11] [ 320/5278] eta: 4:02:44 lr: 3.7364023064917154e-05 loss: 0.1024 (0.1115) loss_seg: 0.1013 (0.1105) loss_lansim: 0.0850 (0.0865) loss_contra: 0.0022 (0.0153) time: 2.9359 data: 0.0055 max mem: 31630 Epoch: [11] [ 330/5278] eta: 4:02:11 lr: 3.736182144709079e-05 loss: 0.1037 (0.1113) loss_seg: 0.1026 (0.1103) loss_lansim: 0.0850 (0.0863) loss_contra: 0.0021 (0.0150) time: 2.9339 data: 0.0056 max mem: 31630 Epoch: [11] [ 340/5278] eta: 4:01:36 lr: 3.735961981484938e-05 loss: 0.1037 (0.1112) loss_seg: 0.1026 (0.1102) loss_lansim: 0.0844 (0.0863) loss_contra: 0.0021 (0.0147) time: 2.9281 data: 0.0056 max mem: 31630 Epoch: [11] [ 350/5278] eta: 4:01:06 lr: 3.735741816819188e-05 loss: 0.1024 (0.1116) loss_seg: 0.1013 (0.1106) loss_lansim: 0.0835 (0.0862) loss_contra: 0.0024 (0.0144) time: 2.9268 data: 0.0056 max mem: 31630 Epoch: [11] [ 360/5278] eta: 4:00:31 lr: 3.7355216507117265e-05 loss: 0.1057 (0.1118) loss_seg: 0.1045 (0.1108) loss_lansim: 0.0835 (0.0862) loss_contra: 0.0021 (0.0141) time: 2.9211 data: 0.0056 max mem: 31630 Epoch: [11] [ 370/5278] eta: 3:59:49 lr: 3.7353014831624474e-05 loss: 0.1056 (0.1121) loss_seg: 0.1038 (0.1111) loss_lansim: 0.0835 (0.0862) loss_contra: 0.0022 (0.0138) time: 2.9126 data: 0.0057 max mem: 31630 Epoch: [11] [ 380/5278] eta: 3:59:18 lr: 3.735081314171248e-05 loss: 0.1057 (0.1119) loss_seg: 0.1045 (0.1109) loss_lansim: 0.0835 (0.0863) loss_contra: 0.0024 (0.0144) time: 2.9142 data: 0.0057 max mem: 31630 Epoch: [11] [ 390/5278] eta: 3:58:42 lr: 3.734861143738024e-05 loss: 0.1060 (0.1122) loss_seg: 0.1051 (0.1112) loss_lansim: 0.0841 (0.0863) loss_contra: 0.0023 (0.0141) time: 2.9073 data: 0.0058 max mem: 31630 Epoch: [11] [ 400/5278] eta: 3:58:03 lr: 3.734640971862671e-05 loss: 0.1059 (0.1120) loss_seg: 0.1049 (0.1110) loss_lansim: 0.0844 (0.0865) loss_contra: 0.0022 (0.0138) time: 2.9023 data: 0.0058 max mem: 31630 Epoch: [11] [ 410/5278] eta: 3:57:31 lr: 3.734420798545088e-05 loss: 0.1057 (0.1114) loss_seg: 0.1047 (0.1104) loss_lansim: 0.0853 (0.0866) loss_contra: 0.0022 (0.0136) time: 2.9004 data: 0.0058 max mem: 31630 Epoch: [11] [ 420/5278] eta: 3:56:57 lr: 3.7342006237851675e-05 loss: 0.1017 (0.1112) loss_seg: 0.1007 (0.1102) loss_lansim: 0.0862 (0.0866) loss_contra: 0.0023 (0.0134) time: 2.8911 data: 0.0058 max mem: 31630 Epoch: [11] [ 430/5278] eta: 3:56:25 lr: 3.733980447582807e-05 loss: 0.1025 (0.1111) loss_seg: 0.1015 (0.1101) loss_lansim: 0.0864 (0.0866) loss_contra: 0.0027 (0.0135) time: 2.8901 data: 0.0059 max mem: 31630 Epoch: [11] [ 440/5278] eta: 3:55:49 lr: 3.7337602699379037e-05 loss: 0.1004 (0.1105) loss_seg: 0.0994 (0.1095) loss_lansim: 0.0877 (0.0866) loss_contra: 0.0021 (0.0132) time: 2.8872 data: 0.0059 max mem: 31630 Epoch: [11] [ 450/5278] eta: 3:55:18 lr: 3.733540090850351e-05 loss: 0.1010 (0.1111) loss_seg: 0.1001 (0.1101) loss_lansim: 0.0877 (0.0865) loss_contra: 0.0018 (0.0130) time: 2.8852 data: 0.0059 max mem: 31630 Epoch: [11] [ 460/5278] eta: 3:54:46 lr: 3.733319910320047e-05 loss: 0.0997 (0.1116) loss_seg: 0.0987 (0.1106) loss_lansim: 0.0879 (0.0867) loss_contra: 0.0017 (0.0128) time: 2.8845 data: 0.0060 max mem: 31630 Epoch: [11] [ 470/5278] eta: 3:54:15 lr: 3.733099728346888e-05 loss: 0.0997 (0.1116) loss_seg: 0.0987 (0.1106) loss_lansim: 0.0881 (0.0868) loss_contra: 0.0017 (0.0127) time: 2.8922 data: 0.0060 max mem: 31630 Epoch: [11] [ 480/5278] eta: 3:53:45 lr: 3.732879544930768e-05 loss: 0.1004 (0.1118) loss_seg: 0.0994 (0.1108) loss_lansim: 0.0885 (0.0869) loss_contra: 0.0013 (0.0128) time: 2.8914 data: 0.0060 max mem: 31630 Epoch: [11] [ 490/5278] eta: 3:53:17 lr: 3.732659360071585e-05 loss: 0.0990 (0.1118) loss_seg: 0.0979 (0.1108) loss_lansim: 0.0889 (0.0870) loss_contra: 0.0013 (0.0126) time: 2.8977 data: 0.0061 max mem: 31630 Epoch: [11] [ 500/5278] eta: 3:52:42 lr: 3.7324391737692324e-05 loss: 0.0960 (0.1115) loss_seg: 0.0951 (0.1105) loss_lansim: 0.0889 (0.0871) loss_contra: 0.0013 (0.0126) time: 2.8982 data: 0.0061 max mem: 31630 Epoch: [11] [ 510/5278] eta: 3:52:17 lr: 3.732218986023609e-05 loss: 0.0960 (0.1115) loss_seg: 0.0951 (0.1105) loss_lansim: 0.0901 (0.0873) loss_contra: 0.0009 (0.0124) time: 2.9054 data: 0.0061 max mem: 31630 Epoch: [11] [ 520/5278] eta: 3:51:53 lr: 3.7319987968346097e-05 loss: 0.0958 (0.1115) loss_seg: 0.0948 (0.1105) loss_lansim: 0.0904 (0.0874) loss_contra: 0.0009 (0.0125) time: 2.9142 data: 0.0061 max mem: 31630 Epoch: [11] [ 530/5278] eta: 3:51:19 lr: 3.731778606202129e-05 loss: 0.0958 (0.1117) loss_seg: 0.0948 (0.1107) loss_lansim: 0.0915 (0.0875) loss_contra: 0.0007 (0.0123) time: 2.9111 data: 0.0061 max mem: 31630 Epoch: [11] [ 540/5278] eta: 3:50:51 lr: 3.7315584141260656e-05 loss: 0.0967 (0.1114) loss_seg: 0.0959 (0.1104) loss_lansim: 0.0930 (0.0877) loss_contra: 0.0008 (0.0122) time: 2.9184 data: 0.0061 max mem: 31630 Epoch: [11] [ 550/5278] eta: 3:50:24 lr: 3.731338220606313e-05 loss: 0.0960 (0.1113) loss_seg: 0.0951 (0.1103) loss_lansim: 0.0930 (0.0877) loss_contra: 0.0007 (0.0120) time: 2.9221 data: 0.0061 max mem: 31630 Epoch: [11] [ 560/5278] eta: 3:49:53 lr: 3.731118025642767e-05 loss: 0.0958 (0.1111) loss_seg: 0.0948 (0.1101) loss_lansim: 0.0930 (0.0879) loss_contra: 0.0008 (0.0120) time: 2.9236 data: 0.0061 max mem: 31630 Epoch: [11] [ 570/5278] eta: 3:49:23 lr: 3.7308978292353264e-05 loss: 0.0947 (0.1109) loss_seg: 0.0938 (0.1099) loss_lansim: 0.0931 (0.0880) loss_contra: 0.0007 (0.0119) time: 2.9230 data: 0.0060 max mem: 31630 Epoch: [11] [ 580/5278] eta: 3:48:53 lr: 3.730677631383884e-05 loss: 0.0955 (0.1109) loss_seg: 0.0944 (0.1099) loss_lansim: 0.0931 (0.0880) loss_contra: 0.0008 (0.0118) time: 2.9236 data: 0.0059 max mem: 31630 Epoch: [11] [ 590/5278] eta: 3:48:22 lr: 3.730457432088336e-05 loss: 0.0952 (0.1111) loss_seg: 0.0939 (0.1101) loss_lansim: 0.0930 (0.0881) loss_contra: 0.0009 (0.0117) time: 2.9204 data: 0.0059 max mem: 31630 Epoch: [11] [ 600/5278] eta: 3:47:53 lr: 3.7302372313485797e-05 loss: 0.0970 (0.1110) loss_seg: 0.0961 (0.1100) loss_lansim: 0.0933 (0.0882) loss_contra: 0.0008 (0.0116) time: 2.9264 data: 0.0059 max mem: 31630 Epoch: [11] [ 610/5278] eta: 3:47:25 lr: 3.730017029164509e-05 loss: 0.0988 (0.1110) loss_seg: 0.0980 (0.1100) loss_lansim: 0.0931 (0.0883) loss_contra: 0.0007 (0.0114) time: 2.9233 data: 0.0058 max mem: 31630 Epoch: [11] [ 620/5278] eta: 3:46:53 lr: 3.729796825536021e-05 loss: 0.0992 (0.1111) loss_seg: 0.0982 (0.1101) loss_lansim: 0.0933 (0.0884) loss_contra: 0.0007 (0.0113) time: 2.9143 data: 0.0058 max mem: 31630 Epoch: [11] [ 630/5278] eta: 3:46:25 lr: 3.729576620463012e-05 loss: 0.1014 (0.1113) loss_seg: 0.1006 (0.1103) loss_lansim: 0.0930 (0.0885) loss_contra: 0.0008 (0.0117) time: 2.9210 data: 0.0058 max mem: 31630 Epoch: [11] [ 640/5278] eta: 3:45:52 lr: 3.729356413945376e-05 loss: 0.1022 (0.1116) loss_seg: 0.1013 (0.1106) loss_lansim: 0.0941 (0.0887) loss_contra: 0.0008 (0.0115) time: 2.9148 data: 0.0058 max mem: 31630 Epoch: [11] [ 650/5278] eta: 3:45:22 lr: 3.72913620598301e-05 loss: 0.1028 (0.1117) loss_seg: 0.1018 (0.1107) loss_lansim: 0.0943 (0.0888) loss_contra: 0.0009 (0.0130) time: 2.9105 data: 0.0057 max mem: 31630 Epoch: [11] [ 660/5278] eta: 3:44:54 lr: 3.7289159965758096e-05 loss: 0.1014 (0.1116) loss_seg: 0.1006 (0.1105) loss_lansim: 0.0943 (0.0889) loss_contra: 0.0010 (0.0129) time: 2.9141 data: 0.0057 max mem: 31630 Epoch: [11] [ 670/5278] eta: 3:44:23 lr: 3.7286957857236706e-05 loss: 0.1022 (0.1117) loss_seg: 0.1013 (0.1107) loss_lansim: 0.0946 (0.0890) loss_contra: 0.0010 (0.0128) time: 2.9129 data: 0.0057 max mem: 31630 Epoch: [11] [ 680/5278] eta: 3:43:56 lr: 3.728475573426488e-05 loss: 0.1030 (0.1119) loss_seg: 0.1020 (0.1108) loss_lansim: 0.0958 (0.0892) loss_contra: 0.0012 (0.0127) time: 2.9160 data: 0.0057 max mem: 31630 Epoch: [11] [ 690/5278] eta: 3:43:28 lr: 3.728255359684157e-05 loss: 0.1030 (0.1119) loss_seg: 0.1020 (0.1109) loss_lansim: 0.0966 (0.0894) loss_contra: 0.0012 (0.0127) time: 2.9207 data: 0.0058 max mem: 31630 Epoch: [11] [ 700/5278] eta: 3:42:59 lr: 3.728035144496576e-05 loss: 0.0978 (0.1117) loss_seg: 0.0968 (0.1106) loss_lansim: 0.0972 (0.0895) loss_contra: 0.0014 (0.0126) time: 2.9210 data: 0.0058 max mem: 31630 Epoch: [11] [ 710/5278] eta: 3:42:29 lr: 3.727814927863638e-05 loss: 0.1020 (0.1116) loss_seg: 0.1009 (0.1106) loss_lansim: 0.0975 (0.0897) loss_contra: 0.0018 (0.0124) time: 2.9176 data: 0.0058 max mem: 31630 Epoch: [11] [ 720/5278] eta: 3:41:59 lr: 3.727594709785239e-05 loss: 0.1031 (0.1117) loss_seg: 0.1020 (0.1107) loss_lansim: 0.0994 (0.0899) loss_contra: 0.0019 (0.0123) time: 2.9206 data: 0.0058 max mem: 31630 Epoch: [11] [ 730/5278] eta: 3:41:29 lr: 3.7273744902612765e-05 loss: 0.1032 (0.1119) loss_seg: 0.1023 (0.1108) loss_lansim: 0.0995 (0.0901) loss_contra: 0.0019 (0.0122) time: 2.9167 data: 0.0058 max mem: 31630 Epoch: [11] [ 740/5278] eta: 3:41:01 lr: 3.7271542692916426e-05 loss: 0.1024 (0.1117) loss_seg: 0.1014 (0.1107) loss_lansim: 0.0994 (0.0903) loss_contra: 0.0019 (0.0122) time: 2.9233 data: 0.0058 max mem: 31630 Epoch: [11] [ 750/5278] eta: 3:40:33 lr: 3.726934046876237e-05 loss: 0.1031 (0.1118) loss_seg: 0.1020 (0.1108) loss_lansim: 0.0998 (0.0904) loss_contra: 0.0019 (0.0121) time: 2.9269 data: 0.0059 max mem: 31630 Epoch: [11] [ 760/5278] eta: 3:40:02 lr: 3.726713823014952e-05 loss: 0.1036 (0.1118) loss_seg: 0.1026 (0.1107) loss_lansim: 0.1006 (0.0906) loss_contra: 0.0019 (0.0121) time: 2.9221 data: 0.0059 max mem: 31630 Epoch: [11] [ 770/5278] eta: 3:39:33 lr: 3.726493597707685e-05 loss: 0.1054 (0.1121) loss_seg: 0.1044 (0.1111) loss_lansim: 0.1014 (0.0907) loss_contra: 0.0019 (0.0120) time: 2.9256 data: 0.0059 max mem: 31630 Epoch: [11] [ 780/5278] eta: 3:39:04 lr: 3.726273370954331e-05 loss: 0.1036 (0.1119) loss_seg: 0.1026 (0.1109) loss_lansim: 0.1016 (0.0909) loss_contra: 0.0012 (0.0119) time: 2.9236 data: 0.0059 max mem: 31630 Epoch: [11] [ 790/5278] eta: 3:38:35 lr: 3.7260531427547854e-05 loss: 0.1032 (0.1118) loss_seg: 0.1023 (0.1108) loss_lansim: 0.1005 (0.0910) loss_contra: 0.0012 (0.0118) time: 2.9210 data: 0.0059 max mem: 31630 Epoch: [11] [ 800/5278] eta: 3:38:06 lr: 3.725832913108944e-05 loss: 0.1044 (0.1118) loss_seg: 0.1032 (0.1108) loss_lansim: 0.1014 (0.0911) loss_contra: 0.0012 (0.0117) time: 2.9202 data: 0.0059 max mem: 31630 Epoch: [11] [ 810/5278] eta: 3:37:38 lr: 3.725612682016703e-05 loss: 0.1054 (0.1120) loss_seg: 0.1044 (0.1109) loss_lansim: 0.1013 (0.0912) loss_contra: 0.0011 (0.0117) time: 2.9242 data: 0.0059 max mem: 31630 Epoch: [11] [ 820/5278] eta: 3:37:10 lr: 3.7253924494779556e-05 loss: 0.1052 (0.1118) loss_seg: 0.1042 (0.1107) loss_lansim: 0.1003 (0.0913) loss_contra: 0.0012 (0.0116) time: 2.9269 data: 0.0059 max mem: 31630 Epoch: [11] [ 830/5278] eta: 3:36:41 lr: 3.7251722154926e-05 loss: 0.1018 (0.1117) loss_seg: 0.1008 (0.1107) loss_lansim: 0.1003 (0.0913) loss_contra: 0.0011 (0.0115) time: 2.9300 data: 0.0058 max mem: 31630 Epoch: [11] [ 840/5278] eta: 3:36:13 lr: 3.72495198006053e-05 loss: 0.1039 (0.1119) loss_seg: 0.1030 (0.1109) loss_lansim: 0.0988 (0.0913) loss_contra: 0.0011 (0.0115) time: 2.9300 data: 0.0058 max mem: 31630 Epoch: [11] [ 850/5278] eta: 3:35:43 lr: 3.724731743181641e-05 loss: 0.1017 (0.1117) loss_seg: 0.1004 (0.1107) loss_lansim: 0.0979 (0.0914) loss_contra: 0.0011 (0.0114) time: 2.9280 data: 0.0058 max mem: 31630 Epoch: [11] [ 860/5278] eta: 3:35:14 lr: 3.7245115048558306e-05 loss: 0.1013 (0.1116) loss_seg: 0.1004 (0.1106) loss_lansim: 0.0976 (0.0915) loss_contra: 0.0011 (0.0113) time: 2.9308 data: 0.0057 max mem: 31630 Epoch: [11] [ 870/5278] eta: 3:34:45 lr: 3.724291265082991e-05 loss: 0.0977 (0.1114) loss_seg: 0.0968 (0.1104) loss_lansim: 0.0976 (0.0915) loss_contra: 0.0011 (0.0113) time: 2.9294 data: 0.0057 max mem: 31630 Epoch: [11] [ 880/5278] eta: 3:34:13 lr: 3.72407102386302e-05 loss: 0.1018 (0.1115) loss_seg: 0.1008 (0.1105) loss_lansim: 0.0960 (0.0916) loss_contra: 0.0012 (0.0114) time: 2.9253 data: 0.0057 max mem: 31630 Epoch: [11] [ 890/5278] eta: 3:33:43 lr: 3.7238507811958124e-05 loss: 0.1018 (0.1114) loss_seg: 0.1008 (0.1104) loss_lansim: 0.0957 (0.0916) loss_contra: 0.0012 (0.0113) time: 2.9221 data: 0.0057 max mem: 31630 Epoch: [11] [ 900/5278] eta: 3:33:15 lr: 3.723630537081262e-05 loss: 0.1039 (0.1115) loss_seg: 0.1029 (0.1104) loss_lansim: 0.0947 (0.0916) loss_contra: 0.0011 (0.0113) time: 2.9259 data: 0.0057 max mem: 31630 Epoch: [11] [ 910/5278] eta: 3:32:46 lr: 3.723410291519267e-05 loss: 0.1030 (0.1114) loss_seg: 0.1021 (0.1104) loss_lansim: 0.0936 (0.0917) loss_contra: 0.0011 (0.0112) time: 2.9239 data: 0.0057 max mem: 31630 Epoch: [11] [ 920/5278] eta: 3:32:18 lr: 3.7231900445097205e-05 loss: 0.0977 (0.1112) loss_seg: 0.0968 (0.1102) loss_lansim: 0.0936 (0.0917) loss_contra: 0.0010 (0.0111) time: 2.9250 data: 0.0057 max mem: 31630 Epoch: [11] [ 930/5278] eta: 3:31:50 lr: 3.722969796052519e-05 loss: 0.0982 (0.1111) loss_seg: 0.0972 (0.1101) loss_lansim: 0.0948 (0.0918) loss_contra: 0.0011 (0.0110) time: 2.9269 data: 0.0057 max mem: 31630 Epoch: [11] [ 940/5278] eta: 3:31:20 lr: 3.722749546147557e-05 loss: 0.1035 (0.1112) loss_seg: 0.1024 (0.1102) loss_lansim: 0.0955 (0.0919) loss_contra: 0.0011 (0.0110) time: 2.9233 data: 0.0057 max mem: 31630 Epoch: [11] [ 950/5278] eta: 3:30:50 lr: 3.72252929479473e-05 loss: 0.1048 (0.1112) loss_seg: 0.1037 (0.1102) loss_lansim: 0.0960 (0.0920) loss_contra: 0.0008 (0.0109) time: 2.9215 data: 0.0057 max mem: 31630 Epoch: [11] [ 960/5278] eta: 3:30:23 lr: 3.722309041993935e-05 loss: 0.0982 (0.1112) loss_seg: 0.0972 (0.1102) loss_lansim: 0.0960 (0.0921) loss_contra: 0.0008 (0.0108) time: 2.9257 data: 0.0057 max mem: 31630 Epoch: [11] [ 970/5278] eta: 3:29:54 lr: 3.722088787745065e-05 loss: 0.1049 (0.1114) loss_seg: 0.1038 (0.1104) loss_lansim: 0.0960 (0.0922) loss_contra: 0.0009 (0.0107) time: 2.9280 data: 0.0057 max mem: 31630 Epoch: [11] [ 980/5278] eta: 3:29:22 lr: 3.721868532048016e-05 loss: 0.1020 (0.1117) loss_seg: 0.1008 (0.1107) loss_lansim: 0.0964 (0.0923) loss_contra: 0.0008 (0.0106) time: 2.9252 data: 0.0057 max mem: 31630 Epoch: [11] [ 990/5278] eta: 3:28:55 lr: 3.721648274902684e-05 loss: 0.1020 (0.1119) loss_seg: 0.1008 (0.1108) loss_lansim: 0.0980 (0.0924) loss_contra: 0.0007 (0.0107) time: 2.9324 data: 0.0057 max mem: 31630 Epoch: [11] [1000/5278] eta: 3:28:27 lr: 3.7214280163089634e-05 loss: 0.1020 (0.1119) loss_seg: 0.1008 (0.1108) loss_lansim: 0.0980 (0.0924) loss_contra: 0.0009 (0.0106) time: 2.9312 data: 0.0058 max mem: 31630 Epoch: [11] [1010/5278] eta: 3:27:55 lr: 3.721207756266749e-05 loss: 0.1053 (0.1118) loss_seg: 0.1042 (0.1107) loss_lansim: 0.0991 (0.0925) loss_contra: 0.0010 (0.0106) time: 2.9257 data: 0.0058 max mem: 31630 Epoch: [11] [1020/5278] eta: 3:27:27 lr: 3.7209874947759374e-05 loss: 0.1096 (0.1120) loss_seg: 0.1085 (0.1110) loss_lansim: 0.0995 (0.0926) loss_contra: 0.0010 (0.0106) time: 2.9249 data: 0.0057 max mem: 31630 Epoch: [11] [1030/5278] eta: 3:26:58 lr: 3.720767231836422e-05 loss: 0.1086 (0.1119) loss_seg: 0.1077 (0.1108) loss_lansim: 0.0995 (0.0927) loss_contra: 0.0012 (0.0106) time: 2.9221 data: 0.0058 max mem: 31630 Epoch: [11] [1040/5278] eta: 3:26:27 lr: 3.7205469674481e-05 loss: 0.1084 (0.1120) loss_seg: 0.1075 (0.1110) loss_lansim: 0.0991 (0.0927) loss_contra: 0.0013 (0.0106) time: 2.9212 data: 0.0057 max mem: 31630 Epoch: [11] [1050/5278] eta: 3:26:00 lr: 3.7203267016108656e-05 loss: 0.1067 (0.1119) loss_seg: 0.1055 (0.1108) loss_lansim: 0.0983 (0.0928) loss_contra: 0.0019 (0.0107) time: 2.9280 data: 0.0057 max mem: 31630 Epoch: [11] [1060/5278] eta: 3:25:31 lr: 3.7201064343246136e-05 loss: 0.1086 (0.1117) loss_seg: 0.1076 (0.1107) loss_lansim: 0.0980 (0.0929) loss_contra: 0.0020 (0.0108) time: 2.9253 data: 0.0057 max mem: 31630 Epoch: [11] [1070/5278] eta: 3:25:00 lr: 3.71988616558924e-05 loss: 0.1077 (0.1116) loss_seg: 0.1066 (0.1105) loss_lansim: 0.0980 (0.0929) loss_contra: 0.0025 (0.0108) time: 2.9178 data: 0.0058 max mem: 31630 Epoch: [11] [1080/5278] eta: 3:24:32 lr: 3.7196658954046386e-05 loss: 0.1086 (0.1118) loss_seg: 0.1076 (0.1108) loss_lansim: 0.0987 (0.0930) loss_contra: 0.0024 (0.0107) time: 2.9275 data: 0.0058 max mem: 31630 Epoch: [11] [1090/5278] eta: 3:24:04 lr: 3.719445623770706e-05 loss: 0.1086 (0.1118) loss_seg: 0.1076 (0.1108) loss_lansim: 0.0989 (0.0931) loss_contra: 0.0019 (0.0107) time: 2.9280 data: 0.0058 max mem: 31630 Epoch: [11] [1100/5278] eta: 3:23:35 lr: 3.719225350687336e-05 loss: 0.1086 (0.1120) loss_seg: 0.1076 (0.1110) loss_lansim: 0.0993 (0.0932) loss_contra: 0.0016 (0.0106) time: 2.9269 data: 0.0058 max mem: 31630 Epoch: [11] [1110/5278] eta: 3:23:05 lr: 3.719005076154425e-05 loss: 0.1087 (0.1120) loss_seg: 0.1076 (0.1110) loss_lansim: 0.1005 (0.0933) loss_contra: 0.0015 (0.0107) time: 2.9297 data: 0.0058 max mem: 31630 Epoch: [11] [1120/5278] eta: 3:22:38 lr: 3.718784800171867e-05 loss: 0.1009 (0.1118) loss_seg: 0.1000 (0.1108) loss_lansim: 0.1009 (0.0934) loss_contra: 0.0018 (0.0107) time: 2.9326 data: 0.0058 max mem: 31630 Epoch: [11] [1130/5278] eta: 3:22:10 lr: 3.718564522739557e-05 loss: 0.1009 (0.1116) loss_seg: 0.1000 (0.1105) loss_lansim: 0.1013 (0.0935) loss_contra: 0.0016 (0.0108) time: 2.9357 data: 0.0058 max mem: 31630 Epoch: [11] [1140/5278] eta: 3:21:39 lr: 3.718344243857391e-05 loss: 0.1009 (0.1115) loss_seg: 0.1000 (0.1104) loss_lansim: 0.1022 (0.0936) loss_contra: 0.0015 (0.0108) time: 2.9351 data: 0.0058 max mem: 31630 Epoch: [11] [1150/5278] eta: 3:21:10 lr: 3.7181239635252636e-05 loss: 0.1011 (0.1115) loss_seg: 0.1000 (0.1104) loss_lansim: 0.1020 (0.0936) loss_contra: 0.0013 (0.0108) time: 2.9314 data: 0.0058 max mem: 31630 Epoch: [11] [1160/5278] eta: 3:20:42 lr: 3.717903681743069e-05 loss: 0.1030 (0.1115) loss_seg: 0.1009 (0.1105) loss_lansim: 0.1027 (0.0938) loss_contra: 0.0016 (0.0108) time: 2.9316 data: 0.0058 max mem: 31630 Epoch: [11] [1170/5278] eta: 3:20:11 lr: 3.717683398510703e-05 loss: 0.1070 (0.1117) loss_seg: 0.1059 (0.1107) loss_lansim: 0.1035 (0.0939) loss_contra: 0.0014 (0.0107) time: 2.9322 data: 0.0058 max mem: 31630 Epoch: [11] [1180/5278] eta: 3:19:43 lr: 3.717463113828061e-05 loss: 0.1032 (0.1116) loss_seg: 0.1021 (0.1105) loss_lansim: 0.1041 (0.0940) loss_contra: 0.0015 (0.0107) time: 2.9331 data: 0.0058 max mem: 31630 Epoch: [11] [1190/5278] eta: 3:19:14 lr: 3.7172428276950365e-05 loss: 0.0987 (0.1113) loss_seg: 0.0976 (0.1103) loss_lansim: 0.1045 (0.0941) loss_contra: 0.0018 (0.0107) time: 2.9282 data: 0.0058 max mem: 31630 Epoch: [11] [1200/5278] eta: 3:18:42 lr: 3.7170225401115265e-05 loss: 0.0987 (0.1115) loss_seg: 0.0976 (0.1104) loss_lansim: 0.1049 (0.0943) loss_contra: 0.0018 (0.0106) time: 2.9213 data: 0.0058 max mem: 31630 Epoch: [11] [1210/5278] eta: 3:18:14 lr: 3.7168022510774244e-05 loss: 0.0950 (0.1113) loss_seg: 0.0935 (0.1102) loss_lansim: 0.1065 (0.0944) loss_contra: 0.0018 (0.0106) time: 2.9274 data: 0.0058 max mem: 31630 Epoch: [11] [1220/5278] eta: 3:17:45 lr: 3.7165819605926246e-05 loss: 0.0973 (0.1113) loss_seg: 0.0962 (0.1102) loss_lansim: 0.1064 (0.0945) loss_contra: 0.0013 (0.0105) time: 2.9230 data: 0.0058 max mem: 31630 Epoch: [11] [1230/5278] eta: 3:17:15 lr: 3.716361668657024e-05 loss: 0.0987 (0.1113) loss_seg: 0.0976 (0.1102) loss_lansim: 0.1057 (0.0946) loss_contra: 0.0012 (0.0105) time: 2.9162 data: 0.0058 max mem: 31630 Epoch: [11] [1240/5278] eta: 3:16:46 lr: 3.716141375270515e-05 loss: 0.0987 (0.1114) loss_seg: 0.0976 (0.1103) loss_lansim: 0.1068 (0.0948) loss_contra: 0.0012 (0.0104) time: 2.9215 data: 0.0058 max mem: 31630 Epoch: [11] [1250/5278] eta: 3:16:18 lr: 3.715921080432995e-05 loss: 0.0988 (0.1116) loss_seg: 0.0976 (0.1105) loss_lansim: 0.1074 (0.0949) loss_contra: 0.0013 (0.0104) time: 2.9248 data: 0.0058 max mem: 31630 Epoch: [11] [1260/5278] eta: 3:15:47 lr: 3.715700784144358e-05 loss: 0.0988 (0.1116) loss_seg: 0.0976 (0.1106) loss_lansim: 0.1074 (0.0950) loss_contra: 0.0012 (0.0103) time: 2.9165 data: 0.0057 max mem: 31630 Epoch: [11] [1270/5278] eta: 3:15:18 lr: 3.715480486404498e-05 loss: 0.0988 (0.1118) loss_seg: 0.0976 (0.1107) loss_lansim: 0.1061 (0.0950) loss_contra: 0.0013 (0.0103) time: 2.9240 data: 0.0057 max mem: 31630 Epoch: [11] [1280/5278] eta: 3:14:48 lr: 3.7152601872133105e-05 loss: 0.0996 (0.1117) loss_seg: 0.0983 (0.1107) loss_lansim: 0.1064 (0.0951) loss_contra: 0.0013 (0.0102) time: 2.9180 data: 0.0057 max mem: 31630 Epoch: [11] [1290/5278] eta: 3:14:18 lr: 3.7150398865706904e-05 loss: 0.1146 (0.1119) loss_seg: 0.1135 (0.1109) loss_lansim: 0.1064 (0.0952) loss_contra: 0.0012 (0.0107) time: 2.9132 data: 0.0057 max mem: 31630 Epoch: [11] [1300/5278] eta: 3:13:49 lr: 3.714819584476532e-05 loss: 0.1134 (0.1121) loss_seg: 0.1122 (0.1110) loss_lansim: 0.1081 (0.0954) loss_contra: 0.0019 (0.0107) time: 2.9215 data: 0.0057 max mem: 31630 Epoch: [11] [1310/5278] eta: 3:13:21 lr: 3.714599280930731e-05 loss: 0.1161 (0.1122) loss_seg: 0.1151 (0.1111) loss_lansim: 0.1079 (0.0955) loss_contra: 0.0021 (0.0107) time: 2.9199 data: 0.0057 max mem: 31630 Epoch: [11] [1320/5278] eta: 3:12:50 lr: 3.714378975933181e-05 loss: 0.1161 (0.1124) loss_seg: 0.1151 (0.1113) loss_lansim: 0.1075 (0.0955) loss_contra: 0.0022 (0.0107) time: 2.9156 data: 0.0058 max mem: 31630 Epoch: [11] [1330/5278] eta: 3:12:21 lr: 3.7141586694837775e-05 loss: 0.1158 (0.1123) loss_seg: 0.1146 (0.1113) loss_lansim: 0.1075 (0.0956) loss_contra: 0.0024 (0.0107) time: 2.9180 data: 0.0057 max mem: 31630 Epoch: [11] [1340/5278] eta: 3:11:54 lr: 3.713938361582415e-05 loss: 0.1158 (0.1125) loss_seg: 0.1146 (0.1114) loss_lansim: 0.1069 (0.0957) loss_contra: 0.0022 (0.0106) time: 2.9232 data: 0.0058 max mem: 31630 Epoch: [11] [1350/5278] eta: 3:11:24 lr: 3.7137180522289886e-05 loss: 0.1158 (0.1126) loss_seg: 0.1146 (0.1115) loss_lansim: 0.1078 (0.0958) loss_contra: 0.0022 (0.0107) time: 2.9181 data: 0.0059 max mem: 31630 Epoch: [11] [1360/5278] eta: 3:10:55 lr: 3.7134977414233934e-05 loss: 0.1158 (0.1125) loss_seg: 0.1146 (0.1115) loss_lansim: 0.1075 (0.0959) loss_contra: 0.0022 (0.0106) time: 2.9245 data: 0.0059 max mem: 31630 Epoch: [11] [1370/5278] eta: 3:10:25 lr: 3.713277429165522e-05 loss: 0.1149 (0.1125) loss_seg: 0.1140 (0.1115) loss_lansim: 0.1073 (0.0960) loss_contra: 0.0022 (0.0106) time: 2.9206 data: 0.0060 max mem: 31630 Epoch: [11] [1380/5278] eta: 3:09:56 lr: 3.7130571154552715e-05 loss: 0.1130 (0.1126) loss_seg: 0.1118 (0.1115) loss_lansim: 0.1078 (0.0961) loss_contra: 0.0025 (0.0106) time: 2.9231 data: 0.0060 max mem: 31630 Epoch: [11] [1390/5278] eta: 3:09:26 lr: 3.7128368002925355e-05 loss: 0.1106 (0.1127) loss_seg: 0.1095 (0.1116) loss_lansim: 0.1079 (0.0962) loss_contra: 0.0024 (0.0106) time: 2.9254 data: 0.0060 max mem: 31630 Epoch: [11] [1400/5278] eta: 3:08:57 lr: 3.7126164836772084e-05 loss: 0.1103 (0.1126) loss_seg: 0.1091 (0.1116) loss_lansim: 0.1078 (0.0963) loss_contra: 0.0021 (0.0105) time: 2.9253 data: 0.0060 max mem: 31630 Epoch: [11] [1410/5278] eta: 3:08:28 lr: 3.712396165609186e-05 loss: 0.1075 (0.1127) loss_seg: 0.1065 (0.1116) loss_lansim: 0.1078 (0.0964) loss_contra: 0.0020 (0.0105) time: 2.9232 data: 0.0060 max mem: 31630 Epoch: [11] [1420/5278] eta: 3:07:58 lr: 3.7121758460883616e-05 loss: 0.1075 (0.1127) loss_seg: 0.1065 (0.1116) loss_lansim: 0.1084 (0.0965) loss_contra: 0.0017 (0.0104) time: 2.9250 data: 0.0059 max mem: 31630 Epoch: [11] [1430/5278] eta: 3:07:29 lr: 3.71195552511463e-05 loss: 0.1093 (0.1128) loss_seg: 0.1080 (0.1117) loss_lansim: 0.1090 (0.0966) loss_contra: 0.0016 (0.0104) time: 2.9276 data: 0.0059 max mem: 31630 Epoch: [11] [1440/5278] eta: 3:07:01 lr: 3.711735202687886e-05 loss: 0.1087 (0.1127) loss_seg: 0.1076 (0.1117) loss_lansim: 0.1084 (0.0966) loss_contra: 0.0013 (0.0104) time: 2.9217 data: 0.0059 max mem: 31630 Epoch: [11] [1450/5278] eta: 3:06:30 lr: 3.711514878808025e-05 loss: 0.1061 (0.1129) loss_seg: 0.1050 (0.1118) loss_lansim: 0.1076 (0.0967) loss_contra: 0.0013 (0.0104) time: 2.9190 data: 0.0058 max mem: 31630 Epoch: [11] [1460/5278] eta: 3:06:02 lr: 3.711294553474941e-05 loss: 0.1081 (0.1130) loss_seg: 0.1070 (0.1119) loss_lansim: 0.1084 (0.0968) loss_contra: 0.0013 (0.0104) time: 2.9213 data: 0.0057 max mem: 31630 Epoch: [11] [1470/5278] eta: 3:05:33 lr: 3.711074226688529e-05 loss: 0.1087 (0.1130) loss_seg: 0.1076 (0.1120) loss_lansim: 0.1091 (0.0969) loss_contra: 0.0012 (0.0104) time: 2.9245 data: 0.0056 max mem: 31630 Epoch: [11] [1480/5278] eta: 3:05:03 lr: 3.7108538984486814e-05 loss: 0.1067 (0.1129) loss_seg: 0.1056 (0.1119) loss_lansim: 0.1084 (0.0969) loss_contra: 0.0012 (0.0104) time: 2.9220 data: 0.0056 max mem: 31630 Epoch: [11] [1490/5278] eta: 3:04:35 lr: 3.710633568755295e-05 loss: 0.1064 (0.1129) loss_seg: 0.1052 (0.1118) loss_lansim: 0.1069 (0.0970) loss_contra: 0.0013 (0.0105) time: 2.9277 data: 0.0057 max mem: 31630 Epoch: [11] [1500/5278] eta: 3:04:07 lr: 3.710413237608264e-05 loss: 0.1064 (0.1128) loss_seg: 0.1052 (0.1117) loss_lansim: 0.1062 (0.0970) loss_contra: 0.0012 (0.0104) time: 2.9299 data: 0.0057 max mem: 31630 Epoch: [11] [1510/5278] eta: 3:03:37 lr: 3.710192905007482e-05 loss: 0.1067 (0.1129) loss_seg: 0.1056 (0.1118) loss_lansim: 0.1055 (0.0971) loss_contra: 0.0012 (0.0104) time: 2.9297 data: 0.0057 max mem: 31630 Epoch: [11] [1520/5278] eta: 3:03:08 lr: 3.7099725709528446e-05 loss: 0.1096 (0.1130) loss_seg: 0.1084 (0.1119) loss_lansim: 0.1055 (0.0971) loss_contra: 0.0012 (0.0104) time: 2.9294 data: 0.0058 max mem: 31630 Epoch: [11] [1530/5278] eta: 3:02:38 lr: 3.709752235444245e-05 loss: 0.1097 (0.1131) loss_seg: 0.1086 (0.1120) loss_lansim: 0.1052 (0.0972) loss_contra: 0.0012 (0.0104) time: 2.9284 data: 0.0058 max mem: 31630 Epoch: [11] [1540/5278] eta: 3:02:09 lr: 3.709531898481579e-05 loss: 0.1097 (0.1133) loss_seg: 0.1086 (0.1122) loss_lansim: 0.1055 (0.0973) loss_contra: 0.0013 (0.0103) time: 2.9259 data: 0.0058 max mem: 31630 Epoch: [11] [1550/5278] eta: 3:01:40 lr: 3.70931156006474e-05 loss: 0.1090 (0.1132) loss_seg: 0.1079 (0.1121) loss_lansim: 0.1060 (0.0973) loss_contra: 0.0013 (0.0103) time: 2.9310 data: 0.0058 max mem: 31630 Epoch: [11] [1560/5278] eta: 3:01:10 lr: 3.7090912201936226e-05 loss: 0.1096 (0.1133) loss_seg: 0.1084 (0.1122) loss_lansim: 0.1062 (0.0974) loss_contra: 0.0013 (0.0103) time: 2.9273 data: 0.0058 max mem: 31630 Epoch: [11] [1570/5278] eta: 3:00:41 lr: 3.7088708788681225e-05 loss: 0.1030 (0.1132) loss_seg: 0.1017 (0.1121) loss_lansim: 0.1066 (0.0976) loss_contra: 0.0015 (0.0106) time: 2.9253 data: 0.0058 max mem: 31630 Epoch: [11] [1580/5278] eta: 3:00:11 lr: 3.708650536088132e-05 loss: 0.1090 (0.1131) loss_seg: 0.1079 (0.1121) loss_lansim: 0.1072 (0.0976) loss_contra: 0.0015 (0.0106) time: 2.9263 data: 0.0058 max mem: 31630 Epoch: [11] [1590/5278] eta: 2:59:43 lr: 3.708430191853547e-05 loss: 0.1090 (0.1131) loss_seg: 0.1079 (0.1120) loss_lansim: 0.1072 (0.0977) loss_contra: 0.0013 (0.0105) time: 2.9276 data: 0.0058 max mem: 31630 Epoch: [11] [1600/5278] eta: 2:59:13 lr: 3.708209846164261e-05 loss: 0.1097 (0.1131) loss_seg: 0.1086 (0.1120) loss_lansim: 0.1065 (0.0977) loss_contra: 0.0015 (0.0105) time: 2.9188 data: 0.0058 max mem: 31630 Epoch: [11] [1610/5278] eta: 2:58:44 lr: 3.707989499020168e-05 loss: 0.1086 (0.1130) loss_seg: 0.1074 (0.1120) loss_lansim: 0.1072 (0.0978) loss_contra: 0.0015 (0.0104) time: 2.9184 data: 0.0058 max mem: 31630 Epoch: [11] [1620/5278] eta: 2:58:15 lr: 3.7077691504211643e-05 loss: 0.1030 (0.1131) loss_seg: 0.1017 (0.1121) loss_lansim: 0.1070 (0.0978) loss_contra: 0.0014 (0.0104) time: 2.9225 data: 0.0058 max mem: 31630 Epoch: [11] [1630/5278] eta: 2:57:46 lr: 3.707548800367143e-05 loss: 0.1018 (0.1132) loss_seg: 0.1005 (0.1121) loss_lansim: 0.1072 (0.0979) loss_contra: 0.0014 (0.0104) time: 2.9226 data: 0.0057 max mem: 31630 Epoch: [11] [1640/5278] eta: 2:57:15 lr: 3.7073284488579974e-05 loss: 0.1018 (0.1132) loss_seg: 0.1005 (0.1121) loss_lansim: 0.1060 (0.0979) loss_contra: 0.0014 (0.0103) time: 2.9191 data: 0.0058 max mem: 31630 Epoch: [11] [1650/5278] eta: 2:56:46 lr: 3.7071080958936235e-05 loss: 0.1031 (0.1133) loss_seg: 0.1019 (0.1122) loss_lansim: 0.1059 (0.0980) loss_contra: 0.0014 (0.0103) time: 2.9190 data: 0.0057 max mem: 31630 Epoch: [11] [1660/5278] eta: 2:56:17 lr: 3.706887741473914e-05 loss: 0.1031 (0.1133) loss_seg: 0.1019 (0.1123) loss_lansim: 0.1050 (0.0980) loss_contra: 0.0014 (0.0103) time: 2.9210 data: 0.0057 max mem: 31630 Epoch: [11] [1670/5278] eta: 2:55:48 lr: 3.7066673855987646e-05 loss: 0.1028 (0.1132) loss_seg: 0.1017 (0.1121) loss_lansim: 0.1044 (0.0981) loss_contra: 0.0012 (0.0102) time: 2.9220 data: 0.0058 max mem: 31630 Epoch: [11] [1680/5278] eta: 2:55:18 lr: 3.706447028268069e-05 loss: 0.1031 (0.1133) loss_seg: 0.1020 (0.1122) loss_lansim: 0.1043 (0.0981) loss_contra: 0.0011 (0.0102) time: 2.9198 data: 0.0058 max mem: 31630 Epoch: [11] [1690/5278] eta: 2:54:48 lr: 3.706226669481721e-05 loss: 0.1064 (0.1133) loss_seg: 0.1052 (0.1122) loss_lansim: 0.1043 (0.0981) loss_contra: 0.0010 (0.0102) time: 2.9130 data: 0.0057 max mem: 31630 Epoch: [11] [1700/5278] eta: 2:54:20 lr: 3.7060063092396156e-05 loss: 0.1071 (0.1133) loss_seg: 0.1059 (0.1122) loss_lansim: 0.1043 (0.0982) loss_contra: 0.0011 (0.0101) time: 2.9190 data: 0.0058 max mem: 31630 Epoch: [11] [1710/5278] eta: 2:53:49 lr: 3.7057859475416463e-05 loss: 0.1048 (0.1132) loss_seg: 0.1038 (0.1121) loss_lansim: 0.1033 (0.0982) loss_contra: 0.0010 (0.0101) time: 2.9138 data: 0.0057 max mem: 31630 Epoch: [11] [1720/5278] eta: 2:53:20 lr: 3.705565584387708e-05 loss: 0.1079 (0.1131) loss_seg: 0.1067 (0.1121) loss_lansim: 0.1025 (0.0982) loss_contra: 0.0010 (0.0101) time: 2.9108 data: 0.0057 max mem: 31630 Epoch: [11] [1730/5278] eta: 2:52:51 lr: 3.7053452197776944e-05 loss: 0.1047 (0.1130) loss_seg: 0.1037 (0.1119) loss_lansim: 0.1020 (0.0982) loss_contra: 0.0010 (0.0101) time: 2.9109 data: 0.0057 max mem: 31630 Epoch: [11] [1740/5278] eta: 2:52:21 lr: 3.705124853711498e-05 loss: 0.1028 (0.1130) loss_seg: 0.1017 (0.1120) loss_lansim: 0.1014 (0.0982) loss_contra: 0.0010 (0.0101) time: 2.9138 data: 0.0057 max mem: 31630 Epoch: [11] [1750/5278] eta: 2:51:51 lr: 3.7049044861890174e-05 loss: 0.1027 (0.1130) loss_seg: 0.1017 (0.1119) loss_lansim: 0.1003 (0.0982) loss_contra: 0.0010 (0.0101) time: 2.9106 data: 0.0057 max mem: 31630 Epoch: [11] [1760/5278] eta: 2:51:22 lr: 3.7046841172101426e-05 loss: 0.1020 (0.1130) loss_seg: 0.1009 (0.1119) loss_lansim: 0.0997 (0.0982) loss_contra: 0.0010 (0.0101) time: 2.9112 data: 0.0058 max mem: 31630 Epoch: [11] [1770/5278] eta: 2:50:53 lr: 3.704463746774769e-05 loss: 0.1051 (0.1131) loss_seg: 0.1040 (0.1120) loss_lansim: 0.1000 (0.0982) loss_contra: 0.0010 (0.0100) time: 2.9076 data: 0.0058 max mem: 31630 Epoch: [11] [1780/5278] eta: 2:50:23 lr: 3.704243374882791e-05 loss: 0.1034 (0.1132) loss_seg: 0.1023 (0.1122) loss_lansim: 0.1003 (0.0983) loss_contra: 0.0010 (0.0100) time: 2.9114 data: 0.0058 max mem: 31630 Epoch: [11] [1790/5278] eta: 2:49:54 lr: 3.7040230015341034e-05 loss: 0.1051 (0.1133) loss_seg: 0.1040 (0.1123) loss_lansim: 0.1000 (0.0983) loss_contra: 0.0010 (0.0100) time: 2.9136 data: 0.0058 max mem: 31630 Epoch: [11] [1800/5278] eta: 2:49:23 lr: 3.703802626728598e-05 loss: 0.1051 (0.1133) loss_seg: 0.1040 (0.1122) loss_lansim: 0.0994 (0.0983) loss_contra: 0.0010 (0.0100) time: 2.9041 data: 0.0058 max mem: 31630 Epoch: [11] [1810/5278] eta: 2:48:54 lr: 3.703582250466172e-05 loss: 0.1118 (0.1133) loss_seg: 0.1109 (0.1122) loss_lansim: 0.1000 (0.0983) loss_contra: 0.0010 (0.0100) time: 2.9094 data: 0.0058 max mem: 31630 Epoch: [11] [1820/5278] eta: 2:48:24 lr: 3.703361872746715e-05 loss: 0.1076 (0.1133) loss_seg: 0.1066 (0.1122) loss_lansim: 0.0994 (0.0983) loss_contra: 0.0010 (0.0099) time: 2.9071 data: 0.0059 max mem: 31630 Epoch: [11] [1830/5278] eta: 2:47:55 lr: 3.703141493570126e-05 loss: 0.1100 (0.1133) loss_seg: 0.1088 (0.1122) loss_lansim: 0.0991 (0.0983) loss_contra: 0.0009 (0.0099) time: 2.9035 data: 0.0059 max mem: 31630 Epoch: [11] [1840/5278] eta: 2:47:25 lr: 3.7029211129362956e-05 loss: 0.1100 (0.1133) loss_seg: 0.1088 (0.1123) loss_lansim: 0.0983 (0.0983) loss_contra: 0.0009 (0.0098) time: 2.9011 data: 0.0059 max mem: 31630 Epoch: [11] [1850/5278] eta: 2:46:55 lr: 3.70270073084512e-05 loss: 0.1102 (0.1136) loss_seg: 0.1093 (0.1125) loss_lansim: 0.0991 (0.0983) loss_contra: 0.0007 (0.0098) time: 2.8986 data: 0.0059 max mem: 31630 Epoch: [11] [1860/5278] eta: 2:46:25 lr: 3.702480347296491e-05 loss: 0.1102 (0.1136) loss_seg: 0.1093 (0.1125) loss_lansim: 0.0991 (0.0983) loss_contra: 0.0007 (0.0099) time: 2.8968 data: 0.0057 max mem: 31630 Epoch: [11] [1870/5278] eta: 2:45:55 lr: 3.702259962290304e-05 loss: 0.1100 (0.1136) loss_seg: 0.1090 (0.1125) loss_lansim: 0.0965 (0.0982) loss_contra: 0.0006 (0.0098) time: 2.8949 data: 0.0058 max mem: 31630 Epoch: [11] [1880/5278] eta: 2:45:25 lr: 3.7020395758264526e-05 loss: 0.1094 (0.1135) loss_seg: 0.1086 (0.1125) loss_lansim: 0.0961 (0.0982) loss_contra: 0.0006 (0.0098) time: 2.8879 data: 0.0058 max mem: 31630 Epoch: [11] [1890/5278] eta: 2:44:56 lr: 3.7018191879048305e-05 loss: 0.1076 (0.1135) loss_seg: 0.1066 (0.1124) loss_lansim: 0.0961 (0.0982) loss_contra: 0.0006 (0.0098) time: 2.8904 data: 0.0058 max mem: 31630 Epoch: [11] [1900/5278] eta: 2:44:27 lr: 3.701598798525332e-05 loss: 0.1071 (0.1135) loss_seg: 0.1063 (0.1124) loss_lansim: 0.0961 (0.0982) loss_contra: 0.0006 (0.0099) time: 2.8993 data: 0.0058 max mem: 31630 Epoch: [11] [1910/5278] eta: 2:43:58 lr: 3.701378407687852e-05 loss: 0.1071 (0.1135) loss_seg: 0.1063 (0.1125) loss_lansim: 0.0954 (0.0982) loss_contra: 0.0006 (0.0098) time: 2.8978 data: 0.0058 max mem: 31630 Epoch: [11] [1920/5278] eta: 2:43:28 lr: 3.7011580153922815e-05 loss: 0.1079 (0.1135) loss_seg: 0.1068 (0.1125) loss_lansim: 0.0955 (0.0982) loss_contra: 0.0007 (0.0098) time: 2.8994 data: 0.0058 max mem: 31630 Epoch: [11] [1930/5278] eta: 2:42:59 lr: 3.700937621638517e-05 loss: 0.1072 (0.1136) loss_seg: 0.1064 (0.1125) loss_lansim: 0.0954 (0.0982) loss_contra: 0.0012 (0.0098) time: 2.9020 data: 0.0057 max mem: 31630 Epoch: [11] [1940/5278] eta: 2:42:30 lr: 3.7007172264264526e-05 loss: 0.1094 (0.1136) loss_seg: 0.1086 (0.1125) loss_lansim: 0.0953 (0.0981) loss_contra: 0.0013 (0.0097) time: 2.9084 data: 0.0058 max mem: 31630 Epoch: [11] [1950/5278] eta: 2:42:01 lr: 3.700496829755979e-05 loss: 0.1072 (0.1136) loss_seg: 0.1064 (0.1126) loss_lansim: 0.0942 (0.0981) loss_contra: 0.0014 (0.0097) time: 2.9099 data: 0.0058 max mem: 31630 Epoch: [11] [1960/5278] eta: 2:41:31 lr: 3.700276431626993e-05 loss: 0.1062 (0.1137) loss_seg: 0.1051 (0.1126) loss_lansim: 0.0951 (0.0981) loss_contra: 0.0014 (0.0097) time: 2.9096 data: 0.0059 max mem: 31630 Epoch: [11] [1970/5278] eta: 2:41:03 lr: 3.700056032039388e-05 loss: 0.1035 (0.1136) loss_seg: 0.1025 (0.1125) loss_lansim: 0.0953 (0.0982) loss_contra: 0.0013 (0.0096) time: 2.9199 data: 0.0059 max mem: 31630 Epoch: [11] [1980/5278] eta: 2:40:33 lr: 3.699835630993057e-05 loss: 0.1088 (0.1136) loss_seg: 0.1078 (0.1125) loss_lansim: 0.0956 (0.0982) loss_contra: 0.0014 (0.0096) time: 2.9251 data: 0.0059 max mem: 31630 Epoch: [11] [1990/5278] eta: 2:40:04 lr: 3.6996152284878944e-05 loss: 0.1072 (0.1136) loss_seg: 0.1061 (0.1125) loss_lansim: 0.0949 (0.0981) loss_contra: 0.0015 (0.0097) time: 2.9196 data: 0.0059 max mem: 31630 Epoch: [11] [2000/5278] eta: 2:39:34 lr: 3.6993948245237935e-05 loss: 0.1063 (0.1135) loss_seg: 0.1053 (0.1124) loss_lansim: 0.0932 (0.0981) loss_contra: 0.0014 (0.0097) time: 2.9175 data: 0.0059 max mem: 31630 Epoch: [11] [2010/5278] eta: 2:39:05 lr: 3.6991744191006486e-05 loss: 0.1075 (0.1136) loss_seg: 0.1061 (0.1125) loss_lansim: 0.0941 (0.0981) loss_contra: 0.0012 (0.0096) time: 2.9206 data: 0.0059 max mem: 31630 Epoch: [11] [2020/5278] eta: 2:38:37 lr: 3.698954012218353e-05 loss: 0.1102 (0.1138) loss_seg: 0.1089 (0.1127) loss_lansim: 0.0951 (0.0981) loss_contra: 0.0012 (0.0096) time: 2.9238 data: 0.0060 max mem: 31630 Epoch: [11] [2030/5278] eta: 2:38:08 lr: 3.6987336038767996e-05 loss: 0.1088 (0.1137) loss_seg: 0.1078 (0.1126) loss_lansim: 0.0968 (0.0981) loss_contra: 0.0011 (0.0096) time: 2.9275 data: 0.0060 max mem: 31630 Epoch: [11] [2040/5278] eta: 2:37:38 lr: 3.698513194075884e-05 loss: 0.1075 (0.1137) loss_seg: 0.1061 (0.1126) loss_lansim: 0.0969 (0.0981) loss_contra: 0.0011 (0.0096) time: 2.9227 data: 0.0060 max mem: 31630 Epoch: [11] [2050/5278] eta: 2:37:09 lr: 3.698292782815499e-05 loss: 0.1088 (0.1138) loss_seg: 0.1076 (0.1128) loss_lansim: 0.0971 (0.0982) loss_contra: 0.0010 (0.0097) time: 2.9244 data: 0.0060 max mem: 31630 Epoch: [11] [2060/5278] eta: 2:36:40 lr: 3.6980723700955386e-05 loss: 0.1089 (0.1139) loss_seg: 0.1078 (0.1128) loss_lansim: 0.0968 (0.0982) loss_contra: 0.0010 (0.0097) time: 2.9260 data: 0.0059 max mem: 31630 Epoch: [11] [2070/5278] eta: 2:36:11 lr: 3.697851955915895e-05 loss: 0.1102 (0.1139) loss_seg: 0.1088 (0.1128) loss_lansim: 0.0971 (0.0982) loss_contra: 0.0010 (0.0096) time: 2.9244 data: 0.0059 max mem: 31630 Epoch: [11] [2080/5278] eta: 2:35:42 lr: 3.6976315402764635e-05 loss: 0.1066 (0.1138) loss_seg: 0.1057 (0.1127) loss_lansim: 0.0980 (0.0983) loss_contra: 0.0011 (0.0096) time: 2.9229 data: 0.0059 max mem: 31630 Epoch: [11] [2090/5278] eta: 2:35:13 lr: 3.697411123177138e-05 loss: 0.1066 (0.1137) loss_seg: 0.1057 (0.1126) loss_lansim: 0.0991 (0.0983) loss_contra: 0.0010 (0.0096) time: 2.9277 data: 0.0059 max mem: 31630 Epoch: [11] [2100/5278] eta: 2:34:44 lr: 3.697190704617811e-05 loss: 0.1088 (0.1136) loss_seg: 0.1076 (0.1126) loss_lansim: 0.1006 (0.0983) loss_contra: 0.0010 (0.0097) time: 2.9305 data: 0.0059 max mem: 31630 Epoch: [11] [2110/5278] eta: 2:34:15 lr: 3.6969702845983756e-05 loss: 0.1054 (0.1137) loss_seg: 0.1043 (0.1126) loss_lansim: 0.1014 (0.0983) loss_contra: 0.0013 (0.0096) time: 2.9302 data: 0.0058 max mem: 31630 Epoch: [11] [2120/5278] eta: 2:33:46 lr: 3.696749863118728e-05 loss: 0.1004 (0.1137) loss_seg: 0.0994 (0.1126) loss_lansim: 0.1021 (0.0983) loss_contra: 0.0014 (0.0097) time: 2.9328 data: 0.0058 max mem: 31630 Epoch: [11] [2130/5278] eta: 2:33:17 lr: 3.6965294401787585e-05 loss: 0.1032 (0.1137) loss_seg: 0.1021 (0.1126) loss_lansim: 0.1029 (0.0984) loss_contra: 0.0016 (0.0098) time: 2.9310 data: 0.0058 max mem: 31630 Epoch: [11] [2140/5278] eta: 2:32:47 lr: 3.696309015778363e-05 loss: 0.1059 (0.1139) loss_seg: 0.1048 (0.1128) loss_lansim: 0.1038 (0.0985) loss_contra: 0.0017 (0.0099) time: 2.9268 data: 0.0059 max mem: 31630 Epoch: [11] [2150/5278] eta: 2:32:18 lr: 3.696088589917434e-05 loss: 0.1068 (0.1139) loss_seg: 0.1055 (0.1128) loss_lansim: 0.1046 (0.0985) loss_contra: 0.0020 (0.0100) time: 2.9296 data: 0.0058 max mem: 31630 Epoch: [11] [2160/5278] eta: 2:31:49 lr: 3.695868162595865e-05 loss: 0.1054 (0.1139) loss_seg: 0.1043 (0.1128) loss_lansim: 0.1056 (0.0986) loss_contra: 0.0020 (0.0100) time: 2.9290 data: 0.0059 max mem: 31630 Epoch: [11] [2170/5278] eta: 2:31:20 lr: 3.6956477338135507e-05 loss: 0.1054 (0.1138) loss_seg: 0.1043 (0.1127) loss_lansim: 0.1056 (0.0986) loss_contra: 0.0028 (0.0100) time: 2.9279 data: 0.0059 max mem: 31630 Epoch: [11] [2180/5278] eta: 2:30:52 lr: 3.6954273035703834e-05 loss: 0.1040 (0.1138) loss_seg: 0.1026 (0.1127) loss_lansim: 0.1047 (0.0986) loss_contra: 0.0023 (0.0100) time: 2.9377 data: 0.0060 max mem: 31630 Epoch: [11] [2190/5278] eta: 2:30:23 lr: 3.695206871866257e-05 loss: 0.1068 (0.1138) loss_seg: 0.1056 (0.1127) loss_lansim: 0.1066 (0.0987) loss_contra: 0.0028 (0.0102) time: 2.9368 data: 0.0061 max mem: 31630 Epoch: [11] [2200/5278] eta: 2:29:53 lr: 3.694986438701065e-05 loss: 0.1069 (0.1138) loss_seg: 0.1058 (0.1127) loss_lansim: 0.1076 (0.0988) loss_contra: 0.0032 (0.0103) time: 2.9323 data: 0.0060 max mem: 31630 Epoch: [11] [2210/5278] eta: 2:29:24 lr: 3.6947660040747004e-05 loss: 0.1071 (0.1139) loss_seg: 0.1061 (0.1128) loss_lansim: 0.1091 (0.0988) loss_contra: 0.0034 (0.0103) time: 2.9298 data: 0.0060 max mem: 31630 Epoch: [11] [2220/5278] eta: 2:28:54 lr: 3.694545567987058e-05 loss: 0.1076 (0.1139) loss_seg: 0.1065 (0.1128) loss_lansim: 0.1115 (0.0990) loss_contra: 0.0044 (0.0105) time: 2.9240 data: 0.0059 max mem: 31630 Epoch: [11] [2230/5278] eta: 2:28:26 lr: 3.69432513043803e-05 loss: 0.1084 (0.1140) loss_seg: 0.1070 (0.1129) loss_lansim: 0.1129 (0.0991) loss_contra: 0.0047 (0.0105) time: 2.9255 data: 0.0059 max mem: 31630 Epoch: [11] [2240/5278] eta: 2:27:56 lr: 3.694104691427509e-05 loss: 0.1079 (0.1143) loss_seg: 0.1068 (0.1132) loss_lansim: 0.1148 (0.0992) loss_contra: 0.0048 (0.0105) time: 2.9325 data: 0.0058 max mem: 31630 Epoch: [11] [2250/5278] eta: 2:27:27 lr: 3.693884250955391e-05 loss: 0.1102 (0.1145) loss_seg: 0.1090 (0.1134) loss_lansim: 0.1154 (0.0993) loss_contra: 0.0047 (0.0105) time: 2.9303 data: 0.0059 max mem: 31630 Epoch: [11] [2260/5278] eta: 2:26:58 lr: 3.693663809021567e-05 loss: 0.1102 (0.1144) loss_seg: 0.1090 (0.1133) loss_lansim: 0.1159 (0.0994) loss_contra: 0.0048 (0.0105) time: 2.9312 data: 0.0059 max mem: 31630 Epoch: [11] [2270/5278] eta: 2:26:28 lr: 3.6934433656259315e-05 loss: 0.1126 (0.1143) loss_seg: 0.1104 (0.1132) loss_lansim: 0.1169 (0.0995) loss_contra: 0.0047 (0.0106) time: 2.9261 data: 0.0059 max mem: 31630 Epoch: [11] [2280/5278] eta: 2:25:59 lr: 3.693222920768378e-05 loss: 0.1169 (0.1144) loss_seg: 0.1159 (0.1133) loss_lansim: 0.1181 (0.0996) loss_contra: 0.0047 (0.0106) time: 2.9166 data: 0.0058 max mem: 31630 Epoch: [11] [2290/5278] eta: 2:25:30 lr: 3.6930024744487994e-05 loss: 0.1187 (0.1144) loss_seg: 0.1175 (0.1133) loss_lansim: 0.1202 (0.0997) loss_contra: 0.0037 (0.0106) time: 2.9190 data: 0.0057 max mem: 31630 Epoch: [11] [2300/5278] eta: 2:25:01 lr: 3.692782026667089e-05 loss: 0.1117 (0.1143) loss_seg: 0.1104 (0.1132) loss_lansim: 0.1216 (0.0999) loss_contra: 0.0029 (0.0105) time: 2.9217 data: 0.0058 max mem: 31630 Epoch: [11] [2310/5278] eta: 2:24:32 lr: 3.6925615774231406e-05 loss: 0.1100 (0.1143) loss_seg: 0.1088 (0.1132) loss_lansim: 0.1248 (0.1000) loss_contra: 0.0028 (0.0105) time: 2.9238 data: 0.0058 max mem: 31630 Epoch: [11] [2320/5278] eta: 2:24:03 lr: 3.692341126716846e-05 loss: 0.1023 (0.1142) loss_seg: 0.1010 (0.1131) loss_lansim: 0.1260 (0.1002) loss_contra: 0.0022 (0.0105) time: 2.9307 data: 0.0059 max mem: 31630 Epoch: [11] [2330/5278] eta: 2:23:34 lr: 3.692120674548101e-05 loss: 0.0981 (0.1142) loss_seg: 0.0968 (0.1130) loss_lansim: 0.1262 (0.1004) loss_contra: 0.0024 (0.0107) time: 2.9238 data: 0.0060 max mem: 31630 Epoch: [11] [2340/5278] eta: 2:23:04 lr: 3.691900220916797e-05 loss: 0.0981 (0.1142) loss_seg: 0.0968 (0.1131) loss_lansim: 0.1284 (0.1006) loss_contra: 0.0024 (0.0107) time: 2.9235 data: 0.0060 max mem: 31630 Epoch: [11] [2350/5278] eta: 2:22:35 lr: 3.691679765822828e-05 loss: 0.0956 (0.1142) loss_seg: 0.0944 (0.1130) loss_lansim: 0.1292 (0.1007) loss_contra: 0.0022 (0.0107) time: 2.9268 data: 0.0061 max mem: 31630 Epoch: [11] [2360/5278] eta: 2:22:06 lr: 3.691459309266088e-05 loss: 0.0956 (0.1141) loss_seg: 0.0945 (0.1130) loss_lansim: 0.1308 (0.1009) loss_contra: 0.0020 (0.0107) time: 2.9261 data: 0.0061 max mem: 31630 Epoch: [11] [2370/5278] eta: 2:21:37 lr: 3.6912388512464674e-05 loss: 0.1000 (0.1141) loss_seg: 0.0973 (0.1130) loss_lansim: 0.1328 (0.1010) loss_contra: 0.0021 (0.0107) time: 2.9268 data: 0.0061 max mem: 31630 Epoch: [11] [2380/5278] eta: 2:21:08 lr: 3.691018391763862e-05 loss: 0.0993 (0.1140) loss_seg: 0.0973 (0.1129) loss_lansim: 0.1332 (0.1011) loss_contra: 0.0024 (0.0108) time: 2.9315 data: 0.0062 max mem: 31630 Epoch: [11] [2390/5278] eta: 2:20:39 lr: 3.690797930818165e-05 loss: 0.0993 (0.1140) loss_seg: 0.0973 (0.1129) loss_lansim: 0.1336 (0.1012) loss_contra: 0.0025 (0.0108) time: 2.9273 data: 0.0062 max mem: 31630 Epoch: [11] [2400/5278] eta: 2:20:10 lr: 3.690577468409267e-05 loss: 0.1000 (0.1140) loss_seg: 0.0985 (0.1129) loss_lansim: 0.1328 (0.1013) loss_contra: 0.0025 (0.0108) time: 2.9296 data: 0.0062 max mem: 31630 Epoch: [11] [2410/5278] eta: 2:19:40 lr: 3.690357004537065e-05 loss: 0.1000 (0.1139) loss_seg: 0.0986 (0.1128) loss_lansim: 0.1312 (0.1014) loss_contra: 0.0020 (0.0108) time: 2.9268 data: 0.0062 max mem: 31630 Epoch: [11] [2420/5278] eta: 2:19:11 lr: 3.6901365392014495e-05 loss: 0.1053 (0.1139) loss_seg: 0.1042 (0.1128) loss_lansim: 0.1276 (0.1014) loss_contra: 0.0022 (0.0108) time: 2.9199 data: 0.0062 max mem: 31630 Epoch: [11] [2430/5278] eta: 2:18:42 lr: 3.689916072402314e-05 loss: 0.1060 (0.1140) loss_seg: 0.1049 (0.1129) loss_lansim: 0.1262 (0.1015) loss_contra: 0.0020 (0.0108) time: 2.9258 data: 0.0062 max mem: 31630 Epoch: [11] [2440/5278] eta: 2:18:13 lr: 3.689695604139553e-05 loss: 0.1053 (0.1140) loss_seg: 0.1042 (0.1129) loss_lansim: 0.1230 (0.1015) loss_contra: 0.0020 (0.0108) time: 2.9292 data: 0.0062 max mem: 31630 Epoch: [11] [2450/5278] eta: 2:17:44 lr: 3.689475134413057e-05 loss: 0.1053 (0.1140) loss_seg: 0.1038 (0.1129) loss_lansim: 0.1200 (0.1016) loss_contra: 0.0020 (0.0108) time: 2.9298 data: 0.0061 max mem: 31630 Epoch: [11] [2460/5278] eta: 2:17:15 lr: 3.689254663222722e-05 loss: 0.1053 (0.1140) loss_seg: 0.1038 (0.1129) loss_lansim: 0.1174 (0.1016) loss_contra: 0.0025 (0.0108) time: 2.9323 data: 0.0061 max mem: 31630 Epoch: [11] [2470/5278] eta: 2:16:47 lr: 3.689034190568439e-05 loss: 0.1044 (0.1140) loss_seg: 0.1033 (0.1129) loss_lansim: 0.1145 (0.1016) loss_contra: 0.0025 (0.0108) time: 2.9385 data: 0.0062 max mem: 31630 Epoch: [11] [2480/5278] eta: 2:16:18 lr: 3.688813716450102e-05 loss: 0.1060 (0.1140) loss_seg: 0.1047 (0.1129) loss_lansim: 0.1106 (0.1016) loss_contra: 0.0025 (0.0109) time: 2.9378 data: 0.0062 max mem: 31630 Epoch: [11] [2490/5278] eta: 2:15:48 lr: 3.6885932408676036e-05 loss: 0.1060 (0.1140) loss_seg: 0.1049 (0.1129) loss_lansim: 0.1092 (0.1016) loss_contra: 0.0024 (0.0109) time: 2.9367 data: 0.0062 max mem: 31630 Epoch: [11] [2500/5278] eta: 2:15:19 lr: 3.688372763820837e-05 loss: 0.1056 (0.1140) loss_seg: 0.1038 (0.1129) loss_lansim: 0.1083 (0.1016) loss_contra: 0.0024 (0.0109) time: 2.9339 data: 0.0061 max mem: 31630 Epoch: [11] [2510/5278] eta: 2:14:50 lr: 3.688152285309696e-05 loss: 0.1056 (0.1140) loss_seg: 0.1038 (0.1129) loss_lansim: 0.1078 (0.1017) loss_contra: 0.0027 (0.0109) time: 2.9381 data: 0.0061 max mem: 31630 Epoch: [11] [2520/5278] eta: 2:14:21 lr: 3.687931805334073e-05 loss: 0.1065 (0.1140) loss_seg: 0.1053 (0.1129) loss_lansim: 0.1069 (0.1017) loss_contra: 0.0024 (0.0109) time: 2.9426 data: 0.0062 max mem: 31630 Epoch: [11] [2530/5278] eta: 2:13:52 lr: 3.687711323893859e-05 loss: 0.1044 (0.1140) loss_seg: 0.1033 (0.1128) loss_lansim: 0.1071 (0.1018) loss_contra: 0.0027 (0.0109) time: 2.9456 data: 0.0061 max mem: 31630 Epoch: [11] [2540/5278] eta: 2:13:23 lr: 3.687490840988951e-05 loss: 0.1044 (0.1140) loss_seg: 0.1033 (0.1128) loss_lansim: 0.1079 (0.1019) loss_contra: 0.0027 (0.0110) time: 2.9453 data: 0.0061 max mem: 31630 Epoch: [11] [2550/5278] eta: 2:12:54 lr: 3.687270356619239e-05 loss: 0.1036 (0.1139) loss_seg: 0.1026 (0.1128) loss_lansim: 0.1102 (0.1020) loss_contra: 0.0024 (0.0110) time: 2.9408 data: 0.0062 max mem: 31630 Epoch: [11] [2560/5278] eta: 2:12:25 lr: 3.687049870784617e-05 loss: 0.1065 (0.1140) loss_seg: 0.1053 (0.1129) loss_lansim: 0.1118 (0.1020) loss_contra: 0.0018 (0.0110) time: 2.9372 data: 0.0062 max mem: 31630 Epoch: [11] [2570/5278] eta: 2:11:55 lr: 3.6868293834849776e-05 loss: 0.1083 (0.1140) loss_seg: 0.1068 (0.1129) loss_lansim: 0.1134 (0.1021) loss_contra: 0.0022 (0.0110) time: 2.9321 data: 0.0061 max mem: 31630 Epoch: [11] [2580/5278] eta: 2:11:26 lr: 3.686608894720214e-05 loss: 0.1082 (0.1141) loss_seg: 0.1068 (0.1129) loss_lansim: 0.1147 (0.1021) loss_contra: 0.0022 (0.0111) time: 2.9290 data: 0.0061 max mem: 31630 Epoch: [11] [2590/5278] eta: 2:10:56 lr: 3.6863884044902186e-05 loss: 0.1063 (0.1141) loss_seg: 0.1051 (0.1129) loss_lansim: 0.1136 (0.1021) loss_contra: 0.0027 (0.0111) time: 2.9270 data: 0.0061 max mem: 31630 Epoch: [11] [2600/5278] eta: 2:10:27 lr: 3.686167912794885e-05 loss: 0.1065 (0.1141) loss_seg: 0.1053 (0.1130) loss_lansim: 0.1134 (0.1021) loss_contra: 0.0031 (0.0111) time: 2.9278 data: 0.0061 max mem: 31630 Epoch: [11] [2610/5278] eta: 2:09:58 lr: 3.685947419634105e-05 loss: 0.1082 (0.1142) loss_seg: 0.1068 (0.1131) loss_lansim: 0.1122 (0.1020) loss_contra: 0.0031 (0.0111) time: 2.9245 data: 0.0061 max mem: 31630 Epoch: [11] [2620/5278] eta: 2:09:29 lr: 3.685726925007773e-05 loss: 0.1060 (0.1142) loss_seg: 0.1051 (0.1131) loss_lansim: 0.1092 (0.1020) loss_contra: 0.0035 (0.0111) time: 2.9245 data: 0.0060 max mem: 31630 Epoch: [11] [2630/5278] eta: 2:09:00 lr: 3.6855064289157804e-05 loss: 0.1059 (0.1141) loss_seg: 0.1050 (0.1130) loss_lansim: 0.1030 (0.1019) loss_contra: 0.0027 (0.0111) time: 2.9228 data: 0.0061 max mem: 31630 Epoch: [11] [2640/5278] eta: 2:08:30 lr: 3.6852859313580205e-05 loss: 0.1059 (0.1141) loss_seg: 0.1050 (0.1130) loss_lansim: 0.0972 (0.1018) loss_contra: 0.0028 (0.0111) time: 2.9138 data: 0.0061 max mem: 31630 Epoch: [11] [2650/5278] eta: 2:08:01 lr: 3.685065432334387e-05 loss: 0.1060 (0.1141) loss_seg: 0.1051 (0.1130) loss_lansim: 0.0924 (0.1018) loss_contra: 0.0030 (0.0111) time: 2.9149 data: 0.0061 max mem: 31630 Epoch: [11] [2660/5278] eta: 2:07:32 lr: 3.684844931844771e-05 loss: 0.1057 (0.1141) loss_seg: 0.1049 (0.1130) loss_lansim: 0.0872 (0.1017) loss_contra: 0.0031 (0.0111) time: 2.9186 data: 0.0060 max mem: 31630 Epoch: [11] [2670/5278] eta: 2:07:02 lr: 3.6846244298890666e-05 loss: 0.1018 (0.1140) loss_seg: 0.1009 (0.1129) loss_lansim: 0.0860 (0.1016) loss_contra: 0.0031 (0.0112) time: 2.9185 data: 0.0061 max mem: 31630 Epoch: [11] [2680/5278] eta: 2:06:33 lr: 3.684403926467166e-05 loss: 0.1018 (0.1141) loss_seg: 0.1009 (0.1130) loss_lansim: 0.0844 (0.1015) loss_contra: 0.0031 (0.0112) time: 2.9212 data: 0.0061 max mem: 31630 Epoch: [11] [2690/5278] eta: 2:06:04 lr: 3.684183421578962e-05 loss: 0.1017 (0.1141) loss_seg: 0.1007 (0.1129) loss_lansim: 0.0836 (0.1015) loss_contra: 0.0030 (0.0112) time: 2.9231 data: 0.0061 max mem: 31630 Epoch: [11] [2700/5278] eta: 2:05:35 lr: 3.6839629152243484e-05 loss: 0.1017 (0.1141) loss_seg: 0.1007 (0.1129) loss_lansim: 0.0827 (0.1014) loss_contra: 0.0030 (0.0114) time: 2.9238 data: 0.0061 max mem: 31630 Epoch: [11] [2710/5278] eta: 2:05:06 lr: 3.683742407403216e-05 loss: 0.1006 (0.1140) loss_seg: 0.0997 (0.1129) loss_lansim: 0.0812 (0.1013) loss_contra: 0.0027 (0.0113) time: 2.9257 data: 0.0061 max mem: 31630 Epoch: [11] [2720/5278] eta: 2:04:36 lr: 3.683521898115458e-05 loss: 0.0961 (0.1139) loss_seg: 0.0952 (0.1128) loss_lansim: 0.0797 (0.1012) loss_contra: 0.0030 (0.0114) time: 2.9214 data: 0.0061 max mem: 31630 Epoch: [11] [2730/5278] eta: 2:04:07 lr: 3.683301387360969e-05 loss: 0.1006 (0.1140) loss_seg: 0.0991 (0.1128) loss_lansim: 0.0779 (0.1011) loss_contra: 0.0030 (0.0115) time: 2.9146 data: 0.0061 max mem: 31630 Epoch: [11] [2740/5278] eta: 2:03:38 lr: 3.683080875139639e-05 loss: 0.1021 (0.1139) loss_seg: 0.0999 (0.1128) loss_lansim: 0.0773 (0.1010) loss_contra: 0.0030 (0.0115) time: 2.9233 data: 0.0061 max mem: 31630 Epoch: [11] [2750/5278] eta: 2:03:09 lr: 3.682860361451363e-05 loss: 0.0978 (0.1139) loss_seg: 0.0970 (0.1127) loss_lansim: 0.0760 (0.1008) loss_contra: 0.0030 (0.0115) time: 2.9264 data: 0.0061 max mem: 31630 Epoch: [11] [2760/5278] eta: 2:02:39 lr: 3.6826398462960316e-05 loss: 0.0996 (0.1139) loss_seg: 0.0983 (0.1127) loss_lansim: 0.0748 (0.1007) loss_contra: 0.0035 (0.0115) time: 2.9190 data: 0.0061 max mem: 31630 Epoch: [11] [2770/5278] eta: 2:02:10 lr: 3.682419329673539e-05 loss: 0.0996 (0.1138) loss_seg: 0.0983 (0.1127) loss_lansim: 0.0725 (0.1006) loss_contra: 0.0039 (0.0115) time: 2.9204 data: 0.0060 max mem: 31630 Epoch: [11] [2780/5278] eta: 2:01:41 lr: 3.682198811583777e-05 loss: 0.0978 (0.1138) loss_seg: 0.0967 (0.1127) loss_lansim: 0.0712 (0.1005) loss_contra: 0.0041 (0.0115) time: 2.9195 data: 0.0060 max mem: 31630 Epoch: [11] [2790/5278] eta: 2:01:12 lr: 3.681978292026638e-05 loss: 0.0979 (0.1138) loss_seg: 0.0970 (0.1127) loss_lansim: 0.0696 (0.1004) loss_contra: 0.0040 (0.0115) time: 2.9219 data: 0.0060 max mem: 31630 Epoch: [11] [2800/5278] eta: 2:00:42 lr: 3.681757771002016e-05 loss: 0.0968 (0.1138) loss_seg: 0.0957 (0.1127) loss_lansim: 0.0692 (0.1003) loss_contra: 0.0036 (0.0115) time: 2.9191 data: 0.0059 max mem: 31630 Epoch: [11] [2810/5278] eta: 2:00:13 lr: 3.6815372485098015e-05 loss: 0.0968 (0.1138) loss_seg: 0.0957 (0.1127) loss_lansim: 0.0688 (0.1002) loss_contra: 0.0039 (0.0115) time: 2.9160 data: 0.0058 max mem: 31630 Epoch: [11] [2820/5278] eta: 1:59:44 lr: 3.681316724549888e-05 loss: 0.0979 (0.1138) loss_seg: 0.0967 (0.1127) loss_lansim: 0.0688 (0.1000) loss_contra: 0.0035 (0.0114) time: 2.9181 data: 0.0058 max mem: 31630 Epoch: [11] [2830/5278] eta: 1:59:14 lr: 3.6810961991221696e-05 loss: 0.0942 (0.1137) loss_seg: 0.0935 (0.1126) loss_lansim: 0.0678 (0.0999) loss_contra: 0.0033 (0.0115) time: 2.9210 data: 0.0058 max mem: 31630 Epoch: [11] [2840/5278] eta: 1:58:45 lr: 3.680875672226536e-05 loss: 0.0911 (0.1137) loss_seg: 0.0904 (0.1126) loss_lansim: 0.0672 (0.0998) loss_contra: 0.0025 (0.0114) time: 2.9167 data: 0.0057 max mem: 31630 Epoch: [11] [2850/5278] eta: 1:58:16 lr: 3.680655143862881e-05 loss: 0.0962 (0.1136) loss_seg: 0.0951 (0.1125) loss_lansim: 0.0672 (0.0997) loss_contra: 0.0025 (0.0114) time: 2.9139 data: 0.0057 max mem: 31630 Epoch: [11] [2860/5278] eta: 1:57:47 lr: 3.680434614031098e-05 loss: 0.0917 (0.1136) loss_seg: 0.0909 (0.1125) loss_lansim: 0.0659 (0.0996) loss_contra: 0.0022 (0.0114) time: 2.9227 data: 0.0057 max mem: 31630 Epoch: [11] [2870/5278] eta: 1:57:17 lr: 3.680214082731078e-05 loss: 0.0972 (0.1136) loss_seg: 0.0965 (0.1125) loss_lansim: 0.0662 (0.0995) loss_contra: 0.0016 (0.0114) time: 2.9203 data: 0.0057 max mem: 31630 Epoch: [11] [2880/5278] eta: 1:56:48 lr: 3.679993549962715e-05 loss: 0.0972 (0.1136) loss_seg: 0.0965 (0.1125) loss_lansim: 0.0672 (0.0994) loss_contra: 0.0014 (0.0114) time: 2.9198 data: 0.0057 max mem: 31630 Epoch: [11] [2890/5278] eta: 1:56:19 lr: 3.6797730157258996e-05 loss: 0.0984 (0.1137) loss_seg: 0.0978 (0.1126) loss_lansim: 0.0678 (0.0993) loss_contra: 0.0011 (0.0113) time: 2.9236 data: 0.0057 max mem: 31630 Epoch: [11] [2900/5278] eta: 1:55:50 lr: 3.6795524800205255e-05 loss: 0.0989 (0.1137) loss_seg: 0.0981 (0.1126) loss_lansim: 0.0688 (0.0992) loss_contra: 0.0009 (0.0113) time: 2.9286 data: 0.0057 max mem: 31630 Epoch: [11] [2910/5278] eta: 1:55:21 lr: 3.679331942846486e-05 loss: 0.0989 (0.1137) loss_seg: 0.0981 (0.1126) loss_lansim: 0.0695 (0.0991) loss_contra: 0.0010 (0.0113) time: 2.9299 data: 0.0057 max mem: 31630 Epoch: [11] [2920/5278] eta: 1:54:52 lr: 3.6791114042036706e-05 loss: 0.0993 (0.1137) loss_seg: 0.0984 (0.1126) loss_lansim: 0.0701 (0.0991) loss_contra: 0.0011 (0.0113) time: 2.9286 data: 0.0057 max mem: 31630 Epoch: [11] [2930/5278] eta: 1:54:23 lr: 3.678890864091974e-05 loss: 0.1003 (0.1137) loss_seg: 0.0996 (0.1126) loss_lansim: 0.0703 (0.0990) loss_contra: 0.0009 (0.0113) time: 2.9331 data: 0.0057 max mem: 31630 Epoch: [11] [2940/5278] eta: 1:53:54 lr: 3.678670322511288e-05 loss: 0.1010 (0.1137) loss_seg: 0.1003 (0.1126) loss_lansim: 0.0716 (0.0989) loss_contra: 0.0009 (0.0114) time: 2.9396 data: 0.0057 max mem: 31630 Epoch: [11] [2950/5278] eta: 1:53:25 lr: 3.678449779461505e-05 loss: 0.1060 (0.1137) loss_seg: 0.1052 (0.1126) loss_lansim: 0.0726 (0.0988) loss_contra: 0.0010 (0.0114) time: 2.9411 data: 0.0058 max mem: 31630 Epoch: [11] [2960/5278] eta: 1:52:56 lr: 3.678229234942518e-05 loss: 0.1071 (0.1138) loss_seg: 0.1064 (0.1127) loss_lansim: 0.0737 (0.0987) loss_contra: 0.0009 (0.0113) time: 2.9394 data: 0.0057 max mem: 31630 Epoch: [11] [2970/5278] eta: 1:52:27 lr: 3.678008688954218e-05 loss: 0.1096 (0.1139) loss_seg: 0.1087 (0.1128) loss_lansim: 0.0737 (0.0986) loss_contra: 0.0010 (0.0113) time: 2.9422 data: 0.0057 max mem: 31630 Epoch: [11] [2980/5278] eta: 1:51:57 lr: 3.677788141496498e-05 loss: 0.1130 (0.1139) loss_seg: 0.1122 (0.1128) loss_lansim: 0.0738 (0.0985) loss_contra: 0.0012 (0.0113) time: 2.9388 data: 0.0057 max mem: 31630 Epoch: [11] [2990/5278] eta: 1:51:28 lr: 3.6775675925692505e-05 loss: 0.1151 (0.1140) loss_seg: 0.1143 (0.1129) loss_lansim: 0.0738 (0.0985) loss_contra: 0.0015 (0.0113) time: 2.9374 data: 0.0057 max mem: 31630 Epoch: [11] [3000/5278] eta: 1:50:59 lr: 3.677347042172367e-05 loss: 0.1135 (0.1139) loss_seg: 0.1124 (0.1128) loss_lansim: 0.0741 (0.0984) loss_contra: 0.0017 (0.0113) time: 2.9368 data: 0.0057 max mem: 31630 Epoch: [11] [3010/5278] eta: 1:50:30 lr: 3.6771264903057414e-05 loss: 0.1151 (0.1140) loss_seg: 0.1143 (0.1129) loss_lansim: 0.0742 (0.0983) loss_contra: 0.0017 (0.0113) time: 2.9371 data: 0.0057 max mem: 31630 Epoch: [11] [3020/5278] eta: 1:50:02 lr: 3.676905936969264e-05 loss: 0.1137 (0.1139) loss_seg: 0.1129 (0.1128) loss_lansim: 0.0745 (0.0983) loss_contra: 0.0015 (0.0113) time: 2.9518 data: 0.0057 max mem: 31630 Epoch: [11] [3030/5278] eta: 1:49:33 lr: 3.6766853821628274e-05 loss: 0.1130 (0.1139) loss_seg: 0.1122 (0.1128) loss_lansim: 0.0747 (0.0982) loss_contra: 0.0015 (0.0113) time: 2.9516 data: 0.0057 max mem: 31630 Epoch: [11] [3040/5278] eta: 1:49:04 lr: 3.676464825886325e-05 loss: 0.1137 (0.1140) loss_seg: 0.1129 (0.1129) loss_lansim: 0.0754 (0.0981) loss_contra: 0.0015 (0.0113) time: 2.9497 data: 0.0057 max mem: 31630 Epoch: [11] [3050/5278] eta: 1:48:34 lr: 3.676244268139649e-05 loss: 0.1124 (0.1139) loss_seg: 0.1114 (0.1128) loss_lansim: 0.0765 (0.0981) loss_contra: 0.0017 (0.0113) time: 2.9425 data: 0.0057 max mem: 31630 Epoch: [11] [3060/5278] eta: 1:48:05 lr: 3.67602370892269e-05 loss: 0.1137 (0.1139) loss_seg: 0.1124 (0.1128) loss_lansim: 0.0767 (0.0980) loss_contra: 0.0016 (0.0112) time: 2.9445 data: 0.0056 max mem: 31630 Epoch: [11] [3070/5278] eta: 1:47:36 lr: 3.6758031482353416e-05 loss: 0.1092 (0.1140) loss_seg: 0.1084 (0.1129) loss_lansim: 0.0780 (0.0980) loss_contra: 0.0019 (0.0112) time: 2.9439 data: 0.0056 max mem: 31630 Epoch: [11] [3080/5278] eta: 1:47:07 lr: 3.675582586077495e-05 loss: 0.1085 (0.1141) loss_seg: 0.1076 (0.1130) loss_lansim: 0.0780 (0.0979) loss_contra: 0.0020 (0.0113) time: 2.9495 data: 0.0056 max mem: 31630 Epoch: [11] [3090/5278] eta: 1:46:38 lr: 3.675362022449043e-05 loss: 0.1062 (0.1141) loss_seg: 0.1054 (0.1130) loss_lansim: 0.0780 (0.0978) loss_contra: 0.0020 (0.0112) time: 2.9516 data: 0.0056 max mem: 31630 Epoch: [11] [3100/5278] eta: 1:46:09 lr: 3.675141457349878e-05 loss: 0.1085 (0.1142) loss_seg: 0.1076 (0.1131) loss_lansim: 0.0780 (0.0978) loss_contra: 0.0021 (0.0113) time: 2.9520 data: 0.0056 max mem: 31630 Epoch: [11] [3110/5278] eta: 1:45:39 lr: 3.674920890779891e-05 loss: 0.1050 (0.1142) loss_seg: 0.1042 (0.1131) loss_lansim: 0.0773 (0.0977) loss_contra: 0.0020 (0.0113) time: 2.9508 data: 0.0056 max mem: 31630 Epoch: [11] [3120/5278] eta: 1:45:10 lr: 3.6747003227389756e-05 loss: 0.1052 (0.1142) loss_seg: 0.1044 (0.1131) loss_lansim: 0.0773 (0.0976) loss_contra: 0.0020 (0.0113) time: 2.9349 data: 0.0055 max mem: 31630 Epoch: [11] [3130/5278] eta: 1:44:41 lr: 3.6744797532270225e-05 loss: 0.1100 (0.1142) loss_seg: 0.1093 (0.1131) loss_lansim: 0.0772 (0.0975) loss_contra: 0.0023 (0.0113) time: 2.9363 data: 0.0055 max mem: 31630 Epoch: [11] [3140/5278] eta: 1:44:12 lr: 3.674259182243924e-05 loss: 0.1052 (0.1142) loss_seg: 0.1044 (0.1131) loss_lansim: 0.0773 (0.0975) loss_contra: 0.0023 (0.0113) time: 2.9348 data: 0.0055 max mem: 31630 Epoch: [11] [3150/5278] eta: 1:43:43 lr: 3.674038609789574e-05 loss: 0.1104 (0.1142) loss_seg: 0.1096 (0.1131) loss_lansim: 0.0771 (0.0974) loss_contra: 0.0012 (0.0112) time: 2.9435 data: 0.0055 max mem: 31630 Epoch: [11] [3160/5278] eta: 1:43:14 lr: 3.6738180358638614e-05 loss: 0.1104 (0.1143) loss_seg: 0.1096 (0.1132) loss_lansim: 0.0778 (0.0974) loss_contra: 0.0012 (0.0112) time: 2.9402 data: 0.0055 max mem: 31630 Epoch: [11] [3170/5278] eta: 1:42:45 lr: 3.673597460466681e-05 loss: 0.1099 (0.1143) loss_seg: 0.1090 (0.1132) loss_lansim: 0.0779 (0.0973) loss_contra: 0.0011 (0.0112) time: 2.9404 data: 0.0056 max mem: 31630 Epoch: [11] [3180/5278] eta: 1:42:15 lr: 3.673376883597923e-05 loss: 0.1040 (0.1142) loss_seg: 0.1033 (0.1131) loss_lansim: 0.0781 (0.0973) loss_contra: 0.0011 (0.0112) time: 2.9339 data: 0.0057 max mem: 31630 Epoch: [11] [3190/5278] eta: 1:41:46 lr: 3.6731563052574804e-05 loss: 0.1040 (0.1143) loss_seg: 0.1033 (0.1132) loss_lansim: 0.0781 (0.0972) loss_contra: 0.0011 (0.0112) time: 2.9320 data: 0.0057 max mem: 31630 Epoch: [11] [3200/5278] eta: 1:41:17 lr: 3.672935725445245e-05 loss: 0.1039 (0.1143) loss_seg: 0.1030 (0.1132) loss_lansim: 0.0785 (0.0972) loss_contra: 0.0011 (0.0112) time: 2.9311 data: 0.0056 max mem: 31630 Epoch: [11] [3210/5278] eta: 1:40:47 lr: 3.6727151441611085e-05 loss: 0.1039 (0.1143) loss_seg: 0.1030 (0.1132) loss_lansim: 0.0795 (0.0972) loss_contra: 0.0014 (0.0112) time: 2.9308 data: 0.0057 max mem: 31630 Epoch: [11] [3220/5278] eta: 1:40:18 lr: 3.6724945614049624e-05 loss: 0.1034 (0.1142) loss_seg: 0.1024 (0.1131) loss_lansim: 0.0802 (0.0971) loss_contra: 0.0013 (0.0112) time: 2.9234 data: 0.0057 max mem: 31630 Epoch: [11] [3230/5278] eta: 1:39:48 lr: 3.672273977176701e-05 loss: 0.1043 (0.1142) loss_seg: 0.1034 (0.1132) loss_lansim: 0.0808 (0.0971) loss_contra: 0.0012 (0.0111) time: 2.9158 data: 0.0057 max mem: 31630 Epoch: [11] [3240/5278] eta: 1:39:19 lr: 3.672053391476212e-05 loss: 0.1051 (0.1142) loss_seg: 0.1043 (0.1132) loss_lansim: 0.0812 (0.0970) loss_contra: 0.0012 (0.0111) time: 2.9115 data: 0.0057 max mem: 31630 Epoch: [11] [3250/5278] eta: 1:38:49 lr: 3.6718328043033916e-05 loss: 0.1043 (0.1143) loss_seg: 0.1034 (0.1132) loss_lansim: 0.0821 (0.0970) loss_contra: 0.0012 (0.0111) time: 2.9068 data: 0.0058 max mem: 31630 Epoch: [11] [3260/5278] eta: 1:38:20 lr: 3.67161221565813e-05 loss: 0.1039 (0.1142) loss_seg: 0.1030 (0.1132) loss_lansim: 0.0822 (0.0970) loss_contra: 0.0012 (0.0111) time: 2.9019 data: 0.0058 max mem: 31630 Epoch: [11] [3270/5278] eta: 1:37:50 lr: 3.671391625540317e-05 loss: 0.1042 (0.1142) loss_seg: 0.1033 (0.1132) loss_lansim: 0.0818 (0.0969) loss_contra: 0.0012 (0.0111) time: 2.8974 data: 0.0057 max mem: 31630 Epoch: [11] [3280/5278] eta: 1:37:21 lr: 3.6711710339498486e-05 loss: 0.1063 (0.1142) loss_seg: 0.1050 (0.1131) loss_lansim: 0.0822 (0.0969) loss_contra: 0.0010 (0.0111) time: 2.8961 data: 0.0058 max mem: 31630 Epoch: [11] [3290/5278] eta: 1:36:52 lr: 3.670950440886613e-05 loss: 0.1072 (0.1143) loss_seg: 0.1058 (0.1132) loss_lansim: 0.0825 (0.0968) loss_contra: 0.0008 (0.0110) time: 2.8937 data: 0.0058 max mem: 31630 Epoch: [11] [3300/5278] eta: 1:36:22 lr: 3.670729846350505e-05 loss: 0.1072 (0.1143) loss_seg: 0.1058 (0.1132) loss_lansim: 0.0825 (0.0968) loss_contra: 0.0007 (0.0110) time: 2.8895 data: 0.0058 max mem: 31630 Epoch: [11] [3310/5278] eta: 1:35:53 lr: 3.670509250341414e-05 loss: 0.1051 (0.1143) loss_seg: 0.1043 (0.1132) loss_lansim: 0.0823 (0.0967) loss_contra: 0.0006 (0.0110) time: 2.8865 data: 0.0059 max mem: 31630 Epoch: [11] [3320/5278] eta: 1:35:24 lr: 3.670288652859232e-05 loss: 0.1065 (0.1143) loss_seg: 0.1056 (0.1132) loss_lansim: 0.0824 (0.0967) loss_contra: 0.0007 (0.0110) time: 2.8997 data: 0.0059 max mem: 31630 Epoch: [11] [3330/5278] eta: 1:34:54 lr: 3.6700680539038525e-05 loss: 0.1063 (0.1143) loss_seg: 0.1054 (0.1133) loss_lansim: 0.0829 (0.0967) loss_contra: 0.0007 (0.0110) time: 2.9029 data: 0.0058 max mem: 31630 Epoch: [11] [3340/5278] eta: 1:34:25 lr: 3.6698474534751656e-05 loss: 0.1092 (0.1144) loss_seg: 0.1084 (0.1133) loss_lansim: 0.0836 (0.0966) loss_contra: 0.0007 (0.0109) time: 2.9052 data: 0.0059 max mem: 31630 Epoch: [11] [3350/5278] eta: 1:33:56 lr: 3.6696268515730635e-05 loss: 0.1118 (0.1144) loss_seg: 0.1110 (0.1133) loss_lansim: 0.0855 (0.0966) loss_contra: 0.0007 (0.0109) time: 2.9081 data: 0.0059 max mem: 31630 Epoch: [11] [3360/5278] eta: 1:33:27 lr: 3.669406248197439e-05 loss: 0.1104 (0.1144) loss_seg: 0.1096 (0.1133) loss_lansim: 0.0855 (0.0966) loss_contra: 0.0007 (0.0109) time: 2.9098 data: 0.0059 max mem: 31630 Epoch: [11] [3370/5278] eta: 1:32:57 lr: 3.669185643348182e-05 loss: 0.1104 (0.1144) loss_seg: 0.1096 (0.1133) loss_lansim: 0.0862 (0.0966) loss_contra: 0.0009 (0.0109) time: 2.9140 data: 0.0059 max mem: 31630 Epoch: [11] [3380/5278] eta: 1:32:28 lr: 3.668965037025186e-05 loss: 0.1134 (0.1144) loss_seg: 0.1125 (0.1133) loss_lansim: 0.0869 (0.0966) loss_contra: 0.0010 (0.0109) time: 2.9226 data: 0.0058 max mem: 31630 Epoch: [11] [3390/5278] eta: 1:31:59 lr: 3.668744429228342e-05 loss: 0.1116 (0.1144) loss_seg: 0.1106 (0.1133) loss_lansim: 0.0872 (0.0966) loss_contra: 0.0010 (0.0109) time: 2.9120 data: 0.0058 max mem: 31630 Epoch: [11] [3400/5278] eta: 1:31:29 lr: 3.6685238199575406e-05 loss: 0.1118 (0.1144) loss_seg: 0.1110 (0.1134) loss_lansim: 0.0879 (0.0965) loss_contra: 0.0010 (0.0109) time: 2.9089 data: 0.0058 max mem: 31630 Epoch: [11] [3410/5278] eta: 1:30:59 lr: 3.6683032092126754e-05 loss: 0.1142 (0.1144) loss_seg: 0.1132 (0.1133) loss_lansim: 0.0892 (0.0965) loss_contra: 0.0011 (0.0109) time: 2.9046 data: 0.0058 max mem: 31630 Epoch: [11] [3420/5278] eta: 1:30:30 lr: 3.668082596993637e-05 loss: 0.1116 (0.1144) loss_seg: 0.1106 (0.1133) loss_lansim: 0.0892 (0.0965) loss_contra: 0.0012 (0.0109) time: 2.8949 data: 0.0058 max mem: 31630 Epoch: [11] [3430/5278] eta: 1:30:00 lr: 3.6678619833003165e-05 loss: 0.1075 (0.1143) loss_seg: 0.1066 (0.1133) loss_lansim: 0.0891 (0.0964) loss_contra: 0.0011 (0.0109) time: 2.8864 data: 0.0059 max mem: 31630 Epoch: [11] [3440/5278] eta: 1:29:31 lr: 3.667641368132607e-05 loss: 0.1075 (0.1144) loss_seg: 0.1066 (0.1133) loss_lansim: 0.0884 (0.0964) loss_contra: 0.0014 (0.0109) time: 2.8805 data: 0.0059 max mem: 31630 Epoch: [11] [3450/5278] eta: 1:29:01 lr: 3.667420751490398e-05 loss: 0.1048 (0.1144) loss_seg: 0.1039 (0.1133) loss_lansim: 0.0867 (0.0964) loss_contra: 0.0016 (0.0109) time: 2.8711 data: 0.0059 max mem: 31630 Epoch: [11] [3460/5278] eta: 1:28:31 lr: 3.667200133373583e-05 loss: 0.1034 (0.1143) loss_seg: 0.1025 (0.1133) loss_lansim: 0.0864 (0.0963) loss_contra: 0.0016 (0.0109) time: 2.8657 data: 0.0059 max mem: 31630 Epoch: [11] [3470/5278] eta: 1:28:02 lr: 3.666979513782053e-05 loss: 0.1105 (0.1144) loss_seg: 0.1091 (0.1133) loss_lansim: 0.0860 (0.0963) loss_contra: 0.0016 (0.0108) time: 2.8566 data: 0.0059 max mem: 31630 Epoch: [11] [3480/5278] eta: 1:27:32 lr: 3.6667588927156994e-05 loss: 0.1105 (0.1144) loss_seg: 0.1091 (0.1133) loss_lansim: 0.0855 (0.0963) loss_contra: 0.0018 (0.0108) time: 2.8478 data: 0.0059 max mem: 31630 Epoch: [11] [3490/5278] eta: 1:27:03 lr: 3.6665382701744144e-05 loss: 0.1045 (0.1143) loss_seg: 0.1038 (0.1133) loss_lansim: 0.0845 (0.0962) loss_contra: 0.0022 (0.0108) time: 2.8507 data: 0.0059 max mem: 31630 Epoch: [11] [3500/5278] eta: 1:26:33 lr: 3.666317646158088e-05 loss: 0.1025 (0.1143) loss_seg: 0.1017 (0.1133) loss_lansim: 0.0853 (0.0962) loss_contra: 0.0018 (0.0108) time: 2.8476 data: 0.0059 max mem: 31630 Epoch: [11] [3510/5278] eta: 1:26:04 lr: 3.666097020666613e-05 loss: 0.1023 (0.1143) loss_seg: 0.1015 (0.1132) loss_lansim: 0.0852 (0.0962) loss_contra: 0.0016 (0.0108) time: 2.8564 data: 0.0059 max mem: 31630 Epoch: [11] [3520/5278] eta: 1:25:34 lr: 3.665876393699881e-05 loss: 0.1025 (0.1142) loss_seg: 0.1017 (0.1131) loss_lansim: 0.0855 (0.0962) loss_contra: 0.0015 (0.0108) time: 2.8576 data: 0.0059 max mem: 31630 Epoch: [11] [3530/5278] eta: 1:25:05 lr: 3.665655765257782e-05 loss: 0.1036 (0.1141) loss_seg: 0.1024 (0.1131) loss_lansim: 0.0864 (0.0962) loss_contra: 0.0013 (0.0108) time: 2.8687 data: 0.0059 max mem: 31630 Epoch: [11] [3540/5278] eta: 1:24:36 lr: 3.665435135340209e-05 loss: 0.1033 (0.1142) loss_seg: 0.1020 (0.1132) loss_lansim: 0.0891 (0.0962) loss_contra: 0.0018 (0.0107) time: 2.8764 data: 0.0059 max mem: 31630 Epoch: [11] [3550/5278] eta: 1:24:06 lr: 3.6652145039470527e-05 loss: 0.1036 (0.1142) loss_seg: 0.1024 (0.1132) loss_lansim: 0.0900 (0.0962) loss_contra: 0.0013 (0.0107) time: 2.8764 data: 0.0058 max mem: 31630 Epoch: [11] [3560/5278] eta: 1:23:37 lr: 3.6649938710782046e-05 loss: 0.1036 (0.1142) loss_seg: 0.1024 (0.1131) loss_lansim: 0.0911 (0.0962) loss_contra: 0.0018 (0.0108) time: 2.8875 data: 0.0058 max mem: 31630 Epoch: [11] [3570/5278] eta: 1:23:08 lr: 3.664773236733557e-05 loss: 0.1025 (0.1142) loss_seg: 0.1017 (0.1132) loss_lansim: 0.0914 (0.0962) loss_contra: 0.0020 (0.0108) time: 2.8923 data: 0.0058 max mem: 31630 Epoch: [11] [3580/5278] eta: 1:22:39 lr: 3.664552600913e-05 loss: 0.1025 (0.1143) loss_seg: 0.1017 (0.1132) loss_lansim: 0.0935 (0.0962) loss_contra: 0.0017 (0.0108) time: 2.8975 data: 0.0058 max mem: 31630 Epoch: [11] [3590/5278] eta: 1:22:10 lr: 3.664331963616426e-05 loss: 0.1030 (0.1143) loss_seg: 0.1018 (0.1132) loss_lansim: 0.0951 (0.0962) loss_contra: 0.0018 (0.0108) time: 2.9080 data: 0.0058 max mem: 31630 Epoch: [11] [3600/5278] eta: 1:21:41 lr: 3.6641113248437257e-05 loss: 0.1036 (0.1144) loss_seg: 0.1024 (0.1133) loss_lansim: 0.0977 (0.0963) loss_contra: 0.0018 (0.0108) time: 2.9194 data: 0.0058 max mem: 31630 Epoch: [11] [3610/5278] eta: 1:21:11 lr: 3.663890684594791e-05 loss: 0.1033 (0.1144) loss_seg: 0.1020 (0.1133) loss_lansim: 0.0977 (0.0963) loss_contra: 0.0020 (0.0108) time: 2.9157 data: 0.0057 max mem: 31630 Epoch: [11] [3620/5278] eta: 1:20:42 lr: 3.6636700428695126e-05 loss: 0.1039 (0.1144) loss_seg: 0.1027 (0.1133) loss_lansim: 0.0985 (0.0963) loss_contra: 0.0020 (0.0107) time: 2.9235 data: 0.0058 max mem: 31630 Epoch: [11] [3630/5278] eta: 1:20:13 lr: 3.663449399667783e-05 loss: 0.1054 (0.1143) loss_seg: 0.1045 (0.1133) loss_lansim: 0.0978 (0.0963) loss_contra: 0.0022 (0.0107) time: 2.9237 data: 0.0058 max mem: 31630 Epoch: [11] [3640/5278] eta: 1:19:44 lr: 3.663228754989492e-05 loss: 0.1054 (0.1143) loss_seg: 0.1045 (0.1133) loss_lansim: 0.0977 (0.0962) loss_contra: 0.0017 (0.0107) time: 2.9191 data: 0.0058 max mem: 31630 Epoch: [11] [3650/5278] eta: 1:19:15 lr: 3.6630081088345314e-05 loss: 0.1055 (0.1143) loss_seg: 0.1046 (0.1132) loss_lansim: 0.0955 (0.0962) loss_contra: 0.0018 (0.0107) time: 2.9293 data: 0.0058 max mem: 31630 Epoch: [11] [3660/5278] eta: 1:18:46 lr: 3.662787461202792e-05 loss: 0.1054 (0.1143) loss_seg: 0.1045 (0.1132) loss_lansim: 0.0928 (0.0961) loss_contra: 0.0018 (0.0107) time: 2.9307 data: 0.0057 max mem: 31630 Epoch: [11] [3670/5278] eta: 1:18:16 lr: 3.662566812094168e-05 loss: 0.1055 (0.1143) loss_seg: 0.1046 (0.1132) loss_lansim: 0.0892 (0.0960) loss_contra: 0.0014 (0.0107) time: 2.9306 data: 0.0057 max mem: 31630 Epoch: [11] [3680/5278] eta: 1:17:47 lr: 3.662346161508547e-05 loss: 0.1054 (0.1143) loss_seg: 0.1045 (0.1132) loss_lansim: 0.0847 (0.0960) loss_contra: 0.0018 (0.0107) time: 2.9341 data: 0.0057 max mem: 31630 Epoch: [11] [3690/5278] eta: 1:17:18 lr: 3.662125509445821e-05 loss: 0.1054 (0.1143) loss_seg: 0.1046 (0.1132) loss_lansim: 0.0792 (0.0959) loss_contra: 0.0018 (0.0107) time: 2.9322 data: 0.0057 max mem: 31630 Epoch: [11] [3700/5278] eta: 1:16:49 lr: 3.6619048559058836e-05 loss: 0.1053 (0.1143) loss_seg: 0.1045 (0.1132) loss_lansim: 0.0748 (0.0958) loss_contra: 0.0021 (0.0107) time: 2.9275 data: 0.0057 max mem: 31630 Epoch: [11] [3710/5278] eta: 1:16:20 lr: 3.661684200888623e-05 loss: 0.1053 (0.1142) loss_seg: 0.1045 (0.1132) loss_lansim: 0.0722 (0.0957) loss_contra: 0.0021 (0.0108) time: 2.9316 data: 0.0057 max mem: 31630 Epoch: [11] [3720/5278] eta: 1:15:51 lr: 3.661463544393932e-05 loss: 0.1076 (0.1143) loss_seg: 0.1069 (0.1132) loss_lansim: 0.0699 (0.0956) loss_contra: 0.0023 (0.0108) time: 2.9291 data: 0.0057 max mem: 31630 Epoch: [11] [3730/5278] eta: 1:15:21 lr: 3.661242886421702e-05 loss: 0.1053 (0.1143) loss_seg: 0.1046 (0.1132) loss_lansim: 0.0692 (0.0956) loss_contra: 0.0028 (0.0108) time: 2.9238 data: 0.0057 max mem: 31630 Epoch: [11] [3740/5278] eta: 1:14:52 lr: 3.6610222269718225e-05 loss: 0.1053 (0.1143) loss_seg: 0.1045 (0.1132) loss_lansim: 0.0678 (0.0955) loss_contra: 0.0028 (0.0108) time: 2.9251 data: 0.0057 max mem: 31630 Epoch: [11] [3750/5278] eta: 1:14:23 lr: 3.660801566044187e-05 loss: 0.1053 (0.1143) loss_seg: 0.1046 (0.1133) loss_lansim: 0.0672 (0.0954) loss_contra: 0.0023 (0.0108) time: 2.9252 data: 0.0057 max mem: 31630 Epoch: [11] [3760/5278] eta: 1:13:54 lr: 3.660580903638685e-05 loss: 0.1091 (0.1143) loss_seg: 0.1084 (0.1133) loss_lansim: 0.0672 (0.0954) loss_contra: 0.0028 (0.0109) time: 2.9230 data: 0.0057 max mem: 31630 Epoch: [11] [3770/5278] eta: 1:13:24 lr: 3.660360239755207e-05 loss: 0.1101 (0.1143) loss_seg: 0.1093 (0.1132) loss_lansim: 0.0678 (0.0953) loss_contra: 0.0027 (0.0108) time: 2.9232 data: 0.0057 max mem: 31630 Epoch: [11] [3780/5278] eta: 1:12:55 lr: 3.6601395743936465e-05 loss: 0.1079 (0.1143) loss_seg: 0.1071 (0.1132) loss_lansim: 0.0670 (0.0952) loss_contra: 0.0023 (0.0108) time: 2.9217 data: 0.0056 max mem: 31630 Epoch: [11] [3790/5278] eta: 1:12:26 lr: 3.6599189075538923e-05 loss: 0.1101 (0.1143) loss_seg: 0.1093 (0.1132) loss_lansim: 0.0672 (0.0952) loss_contra: 0.0021 (0.0108) time: 2.9228 data: 0.0057 max mem: 31630 Epoch: [11] [3800/5278] eta: 1:11:57 lr: 3.6596982392358366e-05 loss: 0.1079 (0.1142) loss_seg: 0.1071 (0.1132) loss_lansim: 0.0676 (0.0951) loss_contra: 0.0020 (0.0108) time: 2.9190 data: 0.0057 max mem: 31630 Epoch: [11] [3810/5278] eta: 1:11:28 lr: 3.659477569439371e-05 loss: 0.1079 (0.1142) loss_seg: 0.1071 (0.1132) loss_lansim: 0.0676 (0.0950) loss_contra: 0.0017 (0.0108) time: 2.9221 data: 0.0056 max mem: 31630 Epoch: [11] [3820/5278] eta: 1:10:58 lr: 3.659256898164384e-05 loss: 0.1044 (0.1142) loss_seg: 0.1027 (0.1131) loss_lansim: 0.0676 (0.0950) loss_contra: 0.0015 (0.0108) time: 2.9195 data: 0.0057 max mem: 31630 Epoch: [11] [3830/5278] eta: 1:10:29 lr: 3.65903622541077e-05 loss: 0.1079 (0.1142) loss_seg: 0.1070 (0.1132) loss_lansim: 0.0676 (0.0949) loss_contra: 0.0013 (0.0108) time: 2.9185 data: 0.0056 max mem: 31630 Epoch: [11] [3840/5278] eta: 1:10:00 lr: 3.658815551178418e-05 loss: 0.1052 (0.1142) loss_seg: 0.1045 (0.1131) loss_lansim: 0.0676 (0.0948) loss_contra: 0.0013 (0.0107) time: 2.9219 data: 0.0056 max mem: 31630 Epoch: [11] [3850/5278] eta: 1:09:31 lr: 3.6585948754672186e-05 loss: 0.1027 (0.1142) loss_seg: 0.1021 (0.1131) loss_lansim: 0.0682 (0.0948) loss_contra: 0.0015 (0.0107) time: 2.9196 data: 0.0056 max mem: 31630 Epoch: [11] [3860/5278] eta: 1:09:02 lr: 3.658374198277065e-05 loss: 0.1027 (0.1142) loss_seg: 0.1021 (0.1131) loss_lansim: 0.0682 (0.0947) loss_contra: 0.0014 (0.0107) time: 2.9193 data: 0.0056 max mem: 31630 Epoch: [11] [3870/5278] eta: 1:08:32 lr: 3.6581535196078455e-05 loss: 0.1031 (0.1142) loss_seg: 0.1023 (0.1131) loss_lansim: 0.0682 (0.0946) loss_contra: 0.0013 (0.0107) time: 2.9221 data: 0.0056 max mem: 31630 Epoch: [11] [3880/5278] eta: 1:08:03 lr: 3.657932839459452e-05 loss: 0.1018 (0.1142) loss_seg: 0.1012 (0.1131) loss_lansim: 0.0688 (0.0946) loss_contra: 0.0012 (0.0107) time: 2.9249 data: 0.0056 max mem: 31630 Epoch: [11] [3890/5278] eta: 1:07:34 lr: 3.6577121578317765e-05 loss: 0.0952 (0.1141) loss_seg: 0.0945 (0.1130) loss_lansim: 0.0682 (0.0945) loss_contra: 0.0010 (0.0107) time: 2.9167 data: 0.0056 max mem: 31630 Epoch: [11] [3900/5278] eta: 1:07:05 lr: 3.6574914747247085e-05 loss: 0.0976 (0.1141) loss_seg: 0.0969 (0.1130) loss_lansim: 0.0689 (0.0944) loss_contra: 0.0012 (0.0107) time: 2.9240 data: 0.0055 max mem: 31630 Epoch: [11] [3910/5278] eta: 1:06:36 lr: 3.65727079013814e-05 loss: 0.1015 (0.1142) loss_seg: 0.1007 (0.1132) loss_lansim: 0.0688 (0.0944) loss_contra: 0.0009 (0.0107) time: 2.9271 data: 0.0055 max mem: 31630 Epoch: [11] [3920/5278] eta: 1:06:07 lr: 3.657050104071962e-05 loss: 0.1025 (0.1142) loss_seg: 0.1018 (0.1132) loss_lansim: 0.0687 (0.0943) loss_contra: 0.0009 (0.0106) time: 2.9334 data: 0.0055 max mem: 31630 Epoch: [11] [3930/5278] eta: 1:05:37 lr: 3.656829416526064e-05 loss: 0.1018 (0.1142) loss_seg: 0.1011 (0.1132) loss_lansim: 0.0688 (0.0943) loss_contra: 0.0009 (0.0106) time: 2.9356 data: 0.0055 max mem: 31630 Epoch: [11] [3940/5278] eta: 1:05:08 lr: 3.6566087275003375e-05 loss: 0.1015 (0.1142) loss_seg: 0.1007 (0.1131) loss_lansim: 0.0688 (0.0942) loss_contra: 0.0009 (0.0106) time: 2.9307 data: 0.0055 max mem: 31630 Epoch: [11] [3950/5278] eta: 1:04:39 lr: 3.656388036994673e-05 loss: 0.1015 (0.1142) loss_seg: 0.1007 (0.1131) loss_lansim: 0.0687 (0.0941) loss_contra: 0.0007 (0.0106) time: 2.9329 data: 0.0055 max mem: 31630 Epoch: [11] [3960/5278] eta: 1:04:10 lr: 3.656167345008963e-05 loss: 0.0977 (0.1142) loss_seg: 0.0971 (0.1131) loss_lansim: 0.0687 (0.0941) loss_contra: 0.0010 (0.0106) time: 2.9328 data: 0.0055 max mem: 31630 Epoch: [11] [3970/5278] eta: 1:03:41 lr: 3.655946651543096e-05 loss: 0.0977 (0.1141) loss_seg: 0.0969 (0.1131) loss_lansim: 0.0681 (0.0940) loss_contra: 0.0010 (0.0106) time: 2.9314 data: 0.0055 max mem: 31630 Epoch: [11] [3980/5278] eta: 1:03:11 lr: 3.6557259565969646e-05 loss: 0.0977 (0.1141) loss_seg: 0.0969 (0.1131) loss_lansim: 0.0681 (0.0940) loss_contra: 0.0010 (0.0106) time: 2.9259 data: 0.0055 max mem: 31630 Epoch: [11] [3990/5278] eta: 1:02:42 lr: 3.655505260170459e-05 loss: 0.1004 (0.1141) loss_seg: 0.0996 (0.1131) loss_lansim: 0.0681 (0.0939) loss_contra: 0.0010 (0.0106) time: 2.9323 data: 0.0055 max mem: 31630 Epoch: [11] [4000/5278] eta: 1:02:13 lr: 3.65528456226347e-05 loss: 0.1003 (0.1141) loss_seg: 0.0996 (0.1131) loss_lansim: 0.0678 (0.0938) loss_contra: 0.0012 (0.0105) time: 2.9289 data: 0.0055 max mem: 31630 Epoch: [11] [4010/5278] eta: 1:01:44 lr: 3.655063862875887e-05 loss: 0.0977 (0.1141) loss_seg: 0.0969 (0.1131) loss_lansim: 0.0674 (0.0937) loss_contra: 0.0012 (0.0105) time: 2.9253 data: 0.0055 max mem: 31630 Epoch: [11] [4020/5278] eta: 1:01:14 lr: 3.654843162007603e-05 loss: 0.0972 (0.1141) loss_seg: 0.0964 (0.1130) loss_lansim: 0.0676 (0.0937) loss_contra: 0.0013 (0.0105) time: 2.9167 data: 0.0055 max mem: 31630 Epoch: [11] [4030/5278] eta: 1:00:45 lr: 3.654622459658506e-05 loss: 0.0963 (0.1141) loss_seg: 0.0954 (0.1130) loss_lansim: 0.0666 (0.0936) loss_contra: 0.0012 (0.0105) time: 2.9191 data: 0.0055 max mem: 31630 Epoch: [11] [4040/5278] eta: 1:00:16 lr: 3.6544017558284905e-05 loss: 0.0977 (0.1141) loss_seg: 0.0969 (0.1131) loss_lansim: 0.0669 (0.0936) loss_contra: 0.0011 (0.0105) time: 2.9261 data: 0.0055 max mem: 31630 Epoch: [11] [4050/5278] eta: 0:59:47 lr: 3.654181050517444e-05 loss: 0.1001 (0.1142) loss_seg: 0.0995 (0.1131) loss_lansim: 0.0674 (0.0935) loss_contra: 0.0011 (0.0105) time: 2.9260 data: 0.0055 max mem: 31630 Epoch: [11] [4060/5278] eta: 0:59:18 lr: 3.6539603437252576e-05 loss: 0.1020 (0.1141) loss_seg: 0.1013 (0.1131) loss_lansim: 0.0676 (0.0935) loss_contra: 0.0010 (0.0104) time: 2.9193 data: 0.0055 max mem: 31630 Epoch: [11] [4070/5278] eta: 0:58:49 lr: 3.6537396354518236e-05 loss: 0.1022 (0.1141) loss_seg: 0.1015 (0.1131) loss_lansim: 0.0698 (0.0934) loss_contra: 0.0009 (0.0104) time: 2.9232 data: 0.0055 max mem: 31630 Epoch: [11] [4080/5278] eta: 0:58:19 lr: 3.653518925697031e-05 loss: 0.1029 (0.1141) loss_seg: 0.1018 (0.1131) loss_lansim: 0.0702 (0.0934) loss_contra: 0.0010 (0.0104) time: 2.9262 data: 0.0055 max mem: 31630 Epoch: [11] [4090/5278] eta: 0:57:50 lr: 3.6532982144607716e-05 loss: 0.1029 (0.1141) loss_seg: 0.1018 (0.1131) loss_lansim: 0.0706 (0.0933) loss_contra: 0.0011 (0.0104) time: 2.9287 data: 0.0055 max mem: 31630 Epoch: [11] [4100/5278] eta: 0:57:21 lr: 3.653077501742935e-05 loss: 0.1029 (0.1141) loss_seg: 0.1018 (0.1131) loss_lansim: 0.0714 (0.0933) loss_contra: 0.0009 (0.0104) time: 2.9299 data: 0.0055 max mem: 31630 Epoch: [11] [4110/5278] eta: 0:56:52 lr: 3.652856787543411e-05 loss: 0.1029 (0.1141) loss_seg: 0.1020 (0.1131) loss_lansim: 0.0724 (0.0932) loss_contra: 0.0008 (0.0104) time: 2.9278 data: 0.0055 max mem: 31630 Epoch: [11] [4120/5278] eta: 0:56:22 lr: 3.652636071862093e-05 loss: 0.1041 (0.1141) loss_seg: 0.1035 (0.1130) loss_lansim: 0.0729 (0.0932) loss_contra: 0.0007 (0.0104) time: 2.9285 data: 0.0055 max mem: 31630 Epoch: [11] [4130/5278] eta: 0:55:53 lr: 3.652415354698869e-05 loss: 0.1088 (0.1141) loss_seg: 0.1080 (0.1130) loss_lansim: 0.0736 (0.0932) loss_contra: 0.0009 (0.0104) time: 2.9317 data: 0.0055 max mem: 31630 Epoch: [11] [4140/5278] eta: 0:55:24 lr: 3.6521946360536314e-05 loss: 0.1070 (0.1140) loss_seg: 0.1063 (0.1130) loss_lansim: 0.0746 (0.0931) loss_contra: 0.0010 (0.0104) time: 2.9287 data: 0.0055 max mem: 31630 Epoch: [11] [4150/5278] eta: 0:54:55 lr: 3.6519739159262694e-05 loss: 0.1060 (0.1140) loss_seg: 0.1053 (0.1130) loss_lansim: 0.0746 (0.0931) loss_contra: 0.0012 (0.0104) time: 2.9292 data: 0.0055 max mem: 31630 Epoch: [11] [4160/5278] eta: 0:54:26 lr: 3.651753194316673e-05 loss: 0.1041 (0.1140) loss_seg: 0.1035 (0.1130) loss_lansim: 0.0750 (0.0930) loss_contra: 0.0013 (0.0104) time: 2.9322 data: 0.0055 max mem: 31630 Epoch: [11] [4170/5278] eta: 0:53:56 lr: 3.651532471224735e-05 loss: 0.1060 (0.1140) loss_seg: 0.1053 (0.1129) loss_lansim: 0.0761 (0.0930) loss_contra: 0.0014 (0.0104) time: 2.9252 data: 0.0056 max mem: 31630 Epoch: [11] [4180/5278] eta: 0:53:27 lr: 3.651311746650344e-05 loss: 0.1040 (0.1139) loss_seg: 0.1033 (0.1129) loss_lansim: 0.0780 (0.0930) loss_contra: 0.0013 (0.0104) time: 2.9273 data: 0.0055 max mem: 31630 Epoch: [11] [4190/5278] eta: 0:52:58 lr: 3.6510910205933907e-05 loss: 0.1052 (0.1139) loss_seg: 0.1043 (0.1129) loss_lansim: 0.0781 (0.0930) loss_contra: 0.0015 (0.0104) time: 2.9281 data: 0.0055 max mem: 31630 Epoch: [11] [4200/5278] eta: 0:52:29 lr: 3.650870293053767e-05 loss: 0.1034 (0.1139) loss_seg: 0.1025 (0.1128) loss_lansim: 0.0784 (0.0929) loss_contra: 0.0013 (0.0104) time: 2.9284 data: 0.0055 max mem: 31630 Epoch: [11] [4210/5278] eta: 0:52:00 lr: 3.65064956403136e-05 loss: 0.1052 (0.1139) loss_seg: 0.1043 (0.1129) loss_lansim: 0.0788 (0.0929) loss_contra: 0.0015 (0.0104) time: 2.9248 data: 0.0055 max mem: 31630 Epoch: [11] [4220/5278] eta: 0:51:31 lr: 3.650428833526064e-05 loss: 0.1040 (0.1139) loss_seg: 0.1033 (0.1129) loss_lansim: 0.0788 (0.0929) loss_contra: 0.0015 (0.0104) time: 2.9291 data: 0.0055 max mem: 31630 Epoch: [11] [4230/5278] eta: 0:51:01 lr: 3.650208101537768e-05 loss: 0.1034 (0.1139) loss_seg: 0.1025 (0.1128) loss_lansim: 0.0792 (0.0928) loss_contra: 0.0015 (0.0104) time: 2.9208 data: 0.0055 max mem: 31630 Epoch: [11] [4240/5278] eta: 0:50:32 lr: 3.649987368066361e-05 loss: 0.1040 (0.1139) loss_seg: 0.1033 (0.1128) loss_lansim: 0.0801 (0.0928) loss_contra: 0.0014 (0.0103) time: 2.9231 data: 0.0055 max mem: 31630 Epoch: [11] [4250/5278] eta: 0:50:03 lr: 3.6497666331117344e-05 loss: 0.1013 (0.1138) loss_seg: 0.1004 (0.1128) loss_lansim: 0.0796 (0.0928) loss_contra: 0.0010 (0.0103) time: 2.9250 data: 0.0055 max mem: 31630 Epoch: [11] [4260/5278] eta: 0:49:34 lr: 3.6495458966737786e-05 loss: 0.1013 (0.1138) loss_seg: 0.1004 (0.1128) loss_lansim: 0.0801 (0.0928) loss_contra: 0.0010 (0.0103) time: 2.9290 data: 0.0055 max mem: 31630 Epoch: [11] [4270/5278] eta: 0:49:04 lr: 3.649325158752385e-05 loss: 0.0993 (0.1139) loss_seg: 0.0985 (0.1128) loss_lansim: 0.0801 (0.0927) loss_contra: 0.0007 (0.0103) time: 2.9269 data: 0.0055 max mem: 31630 Epoch: [11] [4280/5278] eta: 0:48:35 lr: 3.649104419347443e-05 loss: 0.0993 (0.1138) loss_seg: 0.0985 (0.1128) loss_lansim: 0.0788 (0.0927) loss_contra: 0.0007 (0.0103) time: 2.9252 data: 0.0055 max mem: 31630 Epoch: [11] [4290/5278] eta: 0:48:06 lr: 3.648883678458841e-05 loss: 0.0980 (0.1138) loss_seg: 0.0971 (0.1128) loss_lansim: 0.0789 (0.0927) loss_contra: 0.0006 (0.0103) time: 2.9281 data: 0.0055 max mem: 31630 Epoch: [11] [4300/5278] eta: 0:47:37 lr: 3.648662936086473e-05 loss: 0.1069 (0.1138) loss_seg: 0.1060 (0.1128) loss_lansim: 0.0802 (0.0926) loss_contra: 0.0007 (0.0103) time: 2.9281 data: 0.0055 max mem: 31630 Epoch: [11] [4310/5278] eta: 0:47:08 lr: 3.648442192230227e-05 loss: 0.1047 (0.1138) loss_seg: 0.1039 (0.1128) loss_lansim: 0.0806 (0.0926) loss_contra: 0.0007 (0.0103) time: 2.9320 data: 0.0056 max mem: 31630 Epoch: [11] [4320/5278] eta: 0:46:39 lr: 3.648221446889993e-05 loss: 0.1049 (0.1138) loss_seg: 0.1042 (0.1128) loss_lansim: 0.0797 (0.0926) loss_contra: 0.0007 (0.0103) time: 2.9320 data: 0.0056 max mem: 31630 Epoch: [11] [4330/5278] eta: 0:46:09 lr: 3.648000700065662e-05 loss: 0.1049 (0.1138) loss_seg: 0.1042 (0.1128) loss_lansim: 0.0792 (0.0925) loss_contra: 0.0008 (0.0103) time: 2.9317 data: 0.0057 max mem: 31630 Epoch: [11] [4340/5278] eta: 0:45:40 lr: 3.647779951757125e-05 loss: 0.1051 (0.1139) loss_seg: 0.1043 (0.1128) loss_lansim: 0.0792 (0.0925) loss_contra: 0.0007 (0.0103) time: 2.9296 data: 0.0057 max mem: 31630 Epoch: [11] [4350/5278] eta: 0:45:11 lr: 3.64755920196427e-05 loss: 0.1051 (0.1139) loss_seg: 0.1043 (0.1128) loss_lansim: 0.0792 (0.0925) loss_contra: 0.0009 (0.0102) time: 2.9299 data: 0.0057 max mem: 31630 Epoch: [11] [4360/5278] eta: 0:44:42 lr: 3.64733845068699e-05 loss: 0.1076 (0.1139) loss_seg: 0.1068 (0.1129) loss_lansim: 0.0788 (0.0925) loss_contra: 0.0008 (0.0102) time: 2.9369 data: 0.0057 max mem: 31630 Epoch: [11] [4370/5278] eta: 0:44:13 lr: 3.647117697925173e-05 loss: 0.1047 (0.1139) loss_seg: 0.1039 (0.1128) loss_lansim: 0.0782 (0.0924) loss_contra: 0.0011 (0.0103) time: 2.9476 data: 0.0058 max mem: 31630 Epoch: [11] [4380/5278] eta: 0:43:44 lr: 3.64689694367871e-05 loss: 0.1049 (0.1138) loss_seg: 0.1042 (0.1128) loss_lansim: 0.0776 (0.0924) loss_contra: 0.0011 (0.0104) time: 2.9487 data: 0.0058 max mem: 31630 Epoch: [11] [4390/5278] eta: 0:43:15 lr: 3.6466761879474913e-05 loss: 0.1041 (0.1138) loss_seg: 0.1030 (0.1128) loss_lansim: 0.0769 (0.0923) loss_contra: 0.0014 (0.0104) time: 2.9478 data: 0.0058 max mem: 31630 Epoch: [11] [4400/5278] eta: 0:42:46 lr: 3.646455430731407e-05 loss: 0.0985 (0.1138) loss_seg: 0.0978 (0.1128) loss_lansim: 0.0761 (0.0923) loss_contra: 0.0016 (0.0105) time: 2.9569 data: 0.0058 max mem: 31630 Epoch: [11] [4410/5278] eta: 0:42:16 lr: 3.646234672030347e-05 loss: 0.1039 (0.1138) loss_seg: 0.1030 (0.1128) loss_lansim: 0.0763 (0.0923) loss_contra: 0.0016 (0.0106) time: 2.9573 data: 0.0058 max mem: 31630 Epoch: [11] [4420/5278] eta: 0:41:47 lr: 3.646013911844201e-05 loss: 0.0996 (0.1138) loss_seg: 0.0979 (0.1128) loss_lansim: 0.0769 (0.0922) loss_contra: 0.0016 (0.0107) time: 2.9597 data: 0.0058 max mem: 31630 Epoch: [11] [4430/5278] eta: 0:41:18 lr: 3.645793150172861e-05 loss: 0.1014 (0.1138) loss_seg: 0.1002 (0.1128) loss_lansim: 0.0772 (0.0922) loss_contra: 0.0021 (0.0107) time: 2.9661 data: 0.0057 max mem: 31630 Epoch: [11] [4440/5278] eta: 0:40:49 lr: 3.645572387016215e-05 loss: 0.0996 (0.1138) loss_seg: 0.0979 (0.1128) loss_lansim: 0.0772 (0.0922) loss_contra: 0.0025 (0.0107) time: 2.9674 data: 0.0058 max mem: 31630 Epoch: [11] [4450/5278] eta: 0:40:20 lr: 3.645351622374153e-05 loss: 0.1014 (0.1138) loss_seg: 0.1004 (0.1128) loss_lansim: 0.0778 (0.0922) loss_contra: 0.0026 (0.0107) time: 2.9689 data: 0.0058 max mem: 31630 Epoch: [11] [4460/5278] eta: 0:39:51 lr: 3.6451308562465665e-05 loss: 0.1005 (0.1138) loss_seg: 0.0988 (0.1128) loss_lansim: 0.0786 (0.0922) loss_contra: 0.0035 (0.0107) time: 2.9628 data: 0.0057 max mem: 31630 Epoch: [11] [4470/5278] eta: 0:39:21 lr: 3.644910088633345e-05 loss: 0.1014 (0.1138) loss_seg: 0.1004 (0.1128) loss_lansim: 0.0799 (0.0922) loss_contra: 0.0034 (0.0107) time: 2.9627 data: 0.0056 max mem: 31630 Epoch: [11] [4480/5278] eta: 0:38:52 lr: 3.6446893195343774e-05 loss: 0.1046 (0.1138) loss_seg: 0.1030 (0.1128) loss_lansim: 0.0822 (0.0922) loss_contra: 0.0028 (0.0107) time: 2.9667 data: 0.0057 max mem: 31630 Epoch: [11] [4490/5278] eta: 0:38:23 lr: 3.6444685489495555e-05 loss: 0.1091 (0.1138) loss_seg: 0.1080 (0.1128) loss_lansim: 0.0841 (0.0922) loss_contra: 0.0026 (0.0106) time: 2.9646 data: 0.0057 max mem: 31630 Epoch: [11] [4500/5278] eta: 0:37:54 lr: 3.644247776878769e-05 loss: 0.1110 (0.1138) loss_seg: 0.1101 (0.1128) loss_lansim: 0.0857 (0.0922) loss_contra: 0.0024 (0.0106) time: 2.9630 data: 0.0057 max mem: 31630 Epoch: [11] [4510/5278] eta: 0:37:25 lr: 3.644027003321906e-05 loss: 0.1091 (0.1138) loss_seg: 0.1080 (0.1128) loss_lansim: 0.0864 (0.0921) loss_contra: 0.0022 (0.0106) time: 2.9720 data: 0.0057 max mem: 31630 Epoch: [11] [4520/5278] eta: 0:36:56 lr: 3.6438062282788585e-05 loss: 0.1091 (0.1138) loss_seg: 0.1080 (0.1128) loss_lansim: 0.0876 (0.0921) loss_contra: 0.0022 (0.0106) time: 2.9752 data: 0.0057 max mem: 31630 Epoch: [11] [4530/5278] eta: 0:36:27 lr: 3.643585451749515e-05 loss: 0.1078 (0.1139) loss_seg: 0.1069 (0.1129) loss_lansim: 0.0868 (0.0921) loss_contra: 0.0019 (0.0106) time: 2.9799 data: 0.0058 max mem: 31630 Epoch: [11] [4540/5278] eta: 0:35:58 lr: 3.6433646737337677e-05 loss: 0.1078 (0.1139) loss_seg: 0.1069 (0.1129) loss_lansim: 0.0869 (0.0921) loss_contra: 0.0018 (0.0106) time: 2.9879 data: 0.0057 max mem: 31630 Epoch: [11] [4550/5278] eta: 0:35:28 lr: 3.6431438942315035e-05 loss: 0.1048 (0.1139) loss_seg: 0.1039 (0.1129) loss_lansim: 0.0870 (0.0921) loss_contra: 0.0017 (0.0106) time: 2.9868 data: 0.0057 max mem: 31630 Epoch: [11] [4560/5278] eta: 0:34:59 lr: 3.642923113242614e-05 loss: 0.1043 (0.1139) loss_seg: 0.1034 (0.1128) loss_lansim: 0.0892 (0.0921) loss_contra: 0.0012 (0.0106) time: 2.9892 data: 0.0057 max mem: 31630 Epoch: [11] [4570/5278] eta: 0:34:30 lr: 3.64270233076699e-05 loss: 0.1028 (0.1138) loss_seg: 0.1017 (0.1128) loss_lansim: 0.0907 (0.0922) loss_contra: 0.0009 (0.0105) time: 2.9998 data: 0.0057 max mem: 31630 Epoch: [11] [4580/5278] eta: 0:34:01 lr: 3.6424815468045184e-05 loss: 0.1028 (0.1138) loss_seg: 0.1017 (0.1128) loss_lansim: 0.0935 (0.0922) loss_contra: 0.0008 (0.0105) time: 2.9994 data: 0.0057 max mem: 31630 Epoch: [11] [4590/5278] eta: 0:33:32 lr: 3.6422607613550916e-05 loss: 0.1012 (0.1138) loss_seg: 0.1004 (0.1128) loss_lansim: 0.0946 (0.0923) loss_contra: 0.0008 (0.0105) time: 3.0076 data: 0.0058 max mem: 31630 Epoch: [11] [4600/5278] eta: 0:33:03 lr: 3.6420399744185995e-05 loss: 0.1012 (0.1138) loss_seg: 0.1004 (0.1128) loss_lansim: 0.0990 (0.0924) loss_contra: 0.0007 (0.0105) time: 3.0077 data: 0.0059 max mem: 31630 Epoch: [11] [4610/5278] eta: 0:32:34 lr: 3.64181918599493e-05 loss: 0.1042 (0.1139) loss_seg: 0.1031 (0.1128) loss_lansim: 0.1013 (0.0924) loss_contra: 0.0007 (0.0105) time: 3.0025 data: 0.0060 max mem: 31630 Epoch: [11] [4620/5278] eta: 0:32:04 lr: 3.6415983960839744e-05 loss: 0.1049 (0.1139) loss_seg: 0.1039 (0.1128) loss_lansim: 0.1052 (0.0924) loss_contra: 0.0007 (0.0105) time: 2.9990 data: 0.0060 max mem: 31630 Epoch: [11] [4630/5278] eta: 0:31:35 lr: 3.641377604685622e-05 loss: 0.1052 (0.1139) loss_seg: 0.1041 (0.1128) loss_lansim: 0.1079 (0.0925) loss_contra: 0.0007 (0.0105) time: 2.9969 data: 0.0060 max mem: 31630 Epoch: [11] [4640/5278] eta: 0:31:06 lr: 3.641156811799763e-05 loss: 0.1058 (0.1139) loss_seg: 0.1048 (0.1128) loss_lansim: 0.1086 (0.0925) loss_contra: 0.0007 (0.0105) time: 2.9939 data: 0.0060 max mem: 31630 Epoch: [11] [4650/5278] eta: 0:30:37 lr: 3.640936017426287e-05 loss: 0.1052 (0.1138) loss_seg: 0.1041 (0.1128) loss_lansim: 0.1091 (0.0925) loss_contra: 0.0007 (0.0105) time: 2.9913 data: 0.0061 max mem: 31630 Epoch: [11] [4660/5278] eta: 0:30:08 lr: 3.640715221565082e-05 loss: 0.1101 (0.1139) loss_seg: 0.1090 (0.1129) loss_lansim: 0.1111 (0.0926) loss_contra: 0.0007 (0.0105) time: 2.9939 data: 0.0061 max mem: 31630 Epoch: [11] [4670/5278] eta: 0:29:39 lr: 3.640494424216041e-05 loss: 0.1123 (0.1139) loss_seg: 0.1113 (0.1129) loss_lansim: 0.1136 (0.0927) loss_contra: 0.0009 (0.0104) time: 2.9850 data: 0.0061 max mem: 31630 Epoch: [11] [4680/5278] eta: 0:29:09 lr: 3.6402736253790514e-05 loss: 0.1109 (0.1139) loss_seg: 0.1098 (0.1128) loss_lansim: 0.1160 (0.0928) loss_contra: 0.0013 (0.0104) time: 2.9851 data: 0.0061 max mem: 31630 Epoch: [11] [4690/5278] eta: 0:28:40 lr: 3.6400528250540035e-05 loss: 0.1123 (0.1139) loss_seg: 0.1113 (0.1128) loss_lansim: 0.1161 (0.0928) loss_contra: 0.0012 (0.0104) time: 2.9756 data: 0.0061 max mem: 31630 Epoch: [11] [4700/5278] eta: 0:28:11 lr: 3.639832023240787e-05 loss: 0.1137 (0.1139) loss_seg: 0.1117 (0.1128) loss_lansim: 0.1119 (0.0928) loss_contra: 0.0016 (0.0104) time: 2.9768 data: 0.0060 max mem: 31630 Epoch: [11] [4710/5278] eta: 0:27:42 lr: 3.639611219939292e-05 loss: 0.1101 (0.1138) loss_seg: 0.1090 (0.1128) loss_lansim: 0.1087 (0.0928) loss_contra: 0.0014 (0.0104) time: 2.9764 data: 0.0059 max mem: 31630 Epoch: [11] [4720/5278] eta: 0:27:13 lr: 3.639390415149407e-05 loss: 0.1065 (0.1138) loss_seg: 0.1053 (0.1128) loss_lansim: 0.1080 (0.0928) loss_contra: 0.0017 (0.0105) time: 2.9779 data: 0.0059 max mem: 31630 Epoch: [11] [4730/5278] eta: 0:26:43 lr: 3.639169608871022e-05 loss: 0.1056 (0.1138) loss_seg: 0.1043 (0.1127) loss_lansim: 0.1064 (0.0928) loss_contra: 0.0019 (0.0105) time: 2.9822 data: 0.0059 max mem: 31630 Epoch: [11] [4740/5278] eta: 0:26:14 lr: 3.6389488011040277e-05 loss: 0.1058 (0.1138) loss_seg: 0.1050 (0.1128) loss_lansim: 0.1018 (0.0927) loss_contra: 0.0020 (0.0105) time: 2.9810 data: 0.0059 max mem: 31630 Epoch: [11] [4750/5278] eta: 0:25:45 lr: 3.638727991848312e-05 loss: 0.1062 (0.1139) loss_seg: 0.1053 (0.1129) loss_lansim: 0.0936 (0.0927) loss_contra: 0.0021 (0.0106) time: 2.9911 data: 0.0059 max mem: 31630 Epoch: [11] [4760/5278] eta: 0:25:16 lr: 3.6385071811037664e-05 loss: 0.1058 (0.1139) loss_seg: 0.1047 (0.1129) loss_lansim: 0.0836 (0.0926) loss_contra: 0.0026 (0.0106) time: 2.9909 data: 0.0060 max mem: 31630 Epoch: [11] [4770/5278] eta: 0:24:47 lr: 3.638286368870279e-05 loss: 0.1058 (0.1139) loss_seg: 0.1047 (0.1129) loss_lansim: 0.0808 (0.0926) loss_contra: 0.0030 (0.0106) time: 2.9938 data: 0.0059 max mem: 31630 Epoch: [11] [4780/5278] eta: 0:24:17 lr: 3.63806555514774e-05 loss: 0.1058 (0.1139) loss_seg: 0.1047 (0.1128) loss_lansim: 0.0770 (0.0926) loss_contra: 0.0033 (0.0107) time: 2.9955 data: 0.0059 max mem: 31630 Epoch: [11] [4790/5278] eta: 0:23:48 lr: 3.637844739936039e-05 loss: 0.1029 (0.1138) loss_seg: 0.1022 (0.1128) loss_lansim: 0.0750 (0.0925) loss_contra: 0.0041 (0.0107) time: 3.0028 data: 0.0059 max mem: 31630 Epoch: [11] [4800/5278] eta: 0:23:19 lr: 3.6376239232350644e-05 loss: 0.1015 (0.1138) loss_seg: 0.1005 (0.1128) loss_lansim: 0.0730 (0.0925) loss_contra: 0.0045 (0.0107) time: 3.0037 data: 0.0059 max mem: 31630 Epoch: [11] [4810/5278] eta: 0:22:50 lr: 3.637403105044708e-05 loss: 0.1029 (0.1138) loss_seg: 0.1022 (0.1128) loss_lansim: 0.0724 (0.0924) loss_contra: 0.0045 (0.0107) time: 3.0063 data: 0.0059 max mem: 31630 Epoch: [11] [4820/5278] eta: 0:22:21 lr: 3.6371822853648556e-05 loss: 0.1029 (0.1138) loss_seg: 0.1021 (0.1128) loss_lansim: 0.0721 (0.0924) loss_contra: 0.0038 (0.0107) time: 3.0145 data: 0.0059 max mem: 31630 Epoch: [11] [4830/5278] eta: 0:21:52 lr: 3.636961464195401e-05 loss: 0.1051 (0.1138) loss_seg: 0.1044 (0.1128) loss_lansim: 0.0723 (0.0924) loss_contra: 0.0033 (0.0107) time: 3.0140 data: 0.0059 max mem: 31630 Epoch: [11] [4840/5278] eta: 0:21:22 lr: 3.63674064153623e-05 loss: 0.1029 (0.1139) loss_seg: 0.1022 (0.1128) loss_lansim: 0.0717 (0.0923) loss_contra: 0.0033 (0.0108) time: 3.0161 data: 0.0059 max mem: 31630 Epoch: [11] [4850/5278] eta: 0:20:53 lr: 3.636519817387235e-05 loss: 0.1029 (0.1139) loss_seg: 0.1021 (0.1128) loss_lansim: 0.0716 (0.0923) loss_contra: 0.0033 (0.0108) time: 3.0182 data: 0.0059 max mem: 31630 Epoch: [11] [4860/5278] eta: 0:20:24 lr: 3.6362989917483036e-05 loss: 0.1029 (0.1139) loss_seg: 0.1021 (0.1129) loss_lansim: 0.0711 (0.0922) loss_contra: 0.0031 (0.0108) time: 3.0172 data: 0.0059 max mem: 31630 Epoch: [11] [4870/5278] eta: 0:19:55 lr: 3.636078164619326e-05 loss: 0.1029 (0.1139) loss_seg: 0.1021 (0.1129) loss_lansim: 0.0711 (0.0922) loss_contra: 0.0027 (0.0108) time: 3.0214 data: 0.0058 max mem: 31630 Epoch: [11] [4880/5278] eta: 0:19:25 lr: 3.6358573360001905e-05 loss: 0.1089 (0.1140) loss_seg: 0.1081 (0.1129) loss_lansim: 0.0709 (0.0921) loss_contra: 0.0027 (0.0108) time: 3.0217 data: 0.0059 max mem: 31630 Epoch: [11] [4890/5278] eta: 0:18:56 lr: 3.6356365058907876e-05 loss: 0.1111 (0.1140) loss_seg: 0.1104 (0.1129) loss_lansim: 0.0711 (0.0921) loss_contra: 0.0027 (0.0108) time: 3.0237 data: 0.0059 max mem: 31630 Epoch: [11] [4900/5278] eta: 0:18:27 lr: 3.6354156742910065e-05 loss: 0.1098 (0.1140) loss_seg: 0.1084 (0.1129) loss_lansim: 0.0711 (0.0920) loss_contra: 0.0026 (0.0108) time: 3.0168 data: 0.0058 max mem: 31630 Epoch: [11] [4910/5278] eta: 0:17:58 lr: 3.635194841200737e-05 loss: 0.1089 (0.1140) loss_seg: 0.1081 (0.1130) loss_lansim: 0.0709 (0.0920) loss_contra: 0.0026 (0.0108) time: 3.0218 data: 0.0059 max mem: 31630 Epoch: [11] [4920/5278] eta: 0:17:29 lr: 3.6349740066198665e-05 loss: 0.1098 (0.1140) loss_seg: 0.1087 (0.1130) loss_lansim: 0.0708 (0.0920) loss_contra: 0.0026 (0.0108) time: 3.0233 data: 0.0059 max mem: 31630 Epoch: [11] [4930/5278] eta: 0:16:59 lr: 3.634753170548286e-05 loss: 0.1098 (0.1140) loss_seg: 0.1087 (0.1130) loss_lansim: 0.0697 (0.0919) loss_contra: 0.0019 (0.0108) time: 3.0190 data: 0.0059 max mem: 31630 Epoch: [11] [4940/5278] eta: 0:16:30 lr: 3.634532332985886e-05 loss: 0.1090 (0.1140) loss_seg: 0.1083 (0.1129) loss_lansim: 0.0704 (0.0919) loss_contra: 0.0019 (0.0108) time: 3.0228 data: 0.0059 max mem: 31630 Epoch: [11] [4950/5278] eta: 0:16:01 lr: 3.6343114939325514e-05 loss: 0.1090 (0.1139) loss_seg: 0.1083 (0.1129) loss_lansim: 0.0696 (0.0918) loss_contra: 0.0018 (0.0107) time: 3.0154 data: 0.0059 max mem: 31630 Epoch: [11] [4960/5278] eta: 0:15:32 lr: 3.634090653388176e-05 loss: 0.1052 (0.1139) loss_seg: 0.1044 (0.1129) loss_lansim: 0.0706 (0.0918) loss_contra: 0.0016 (0.0107) time: 3.0163 data: 0.0060 max mem: 31630 Epoch: [11] [4970/5278] eta: 0:15:02 lr: 3.633869811352647e-05 loss: 0.1052 (0.1139) loss_seg: 0.1044 (0.1129) loss_lansim: 0.0696 (0.0917) loss_contra: 0.0015 (0.0108) time: 3.0122 data: 0.0060 max mem: 31630 Epoch: [11] [4980/5278] eta: 0:14:33 lr: 3.633648967825854e-05 loss: 0.1036 (0.1139) loss_seg: 0.1028 (0.1128) loss_lansim: 0.0683 (0.0917) loss_contra: 0.0011 (0.0107) time: 3.0155 data: 0.0060 max mem: 31630 Epoch: [11] [4990/5278] eta: 0:14:04 lr: 3.6334281228076865e-05 loss: 0.1036 (0.1138) loss_seg: 0.1028 (0.1128) loss_lansim: 0.0684 (0.0916) loss_contra: 0.0011 (0.0108) time: 3.0106 data: 0.0061 max mem: 31630 Epoch: [11] [5000/5278] eta: 0:13:34 lr: 3.633207276298033e-05 loss: 0.1036 (0.1139) loss_seg: 0.1030 (0.1129) loss_lansim: 0.0685 (0.0916) loss_contra: 0.0011 (0.0108) time: 3.0154 data: 0.0061 max mem: 31630 Epoch: [11] [5010/5278] eta: 0:13:05 lr: 3.632986428296784e-05 loss: 0.1046 (0.1140) loss_seg: 0.1036 (0.1130) loss_lansim: 0.0692 (0.0916) loss_contra: 0.0012 (0.0108) time: 3.0162 data: 0.0062 max mem: 31630 Epoch: [11] [5020/5278] eta: 0:12:36 lr: 3.6327655788038266e-05 loss: 0.1033 (0.1141) loss_seg: 0.1023 (0.1130) loss_lansim: 0.0685 (0.0915) loss_contra: 0.0013 (0.0108) time: 3.0094 data: 0.0062 max mem: 31630 Epoch: [11] [5030/5278] eta: 0:12:07 lr: 3.6325447278190514e-05 loss: 0.1033 (0.1141) loss_seg: 0.1023 (0.1131) loss_lansim: 0.0686 (0.0915) loss_contra: 0.0015 (0.0108) time: 3.0184 data: 0.0062 max mem: 31630 Epoch: [11] [5040/5278] eta: 0:11:37 lr: 3.632323875342347e-05 loss: 0.1052 (0.1141) loss_seg: 0.1044 (0.1131) loss_lansim: 0.0692 (0.0915) loss_contra: 0.0014 (0.0108) time: 3.0186 data: 0.0062 max mem: 31630 Epoch: [11] [5050/5278] eta: 0:11:08 lr: 3.6321030213736034e-05 loss: 0.1071 (0.1141) loss_seg: 0.1058 (0.1131) loss_lansim: 0.0706 (0.0914) loss_contra: 0.0015 (0.0108) time: 3.0142 data: 0.0062 max mem: 31630 Epoch: [11] [5060/5278] eta: 0:10:39 lr: 3.631882165912709e-05 loss: 0.1071 (0.1141) loss_seg: 0.1058 (0.1131) loss_lansim: 0.0708 (0.0914) loss_contra: 0.0015 (0.0108) time: 3.0178 data: 0.0061 max mem: 31630 Epoch: [11] [5070/5278] eta: 0:10:10 lr: 3.631661308959553e-05 loss: 0.1071 (0.1141) loss_seg: 0.1058 (0.1131) loss_lansim: 0.0737 (0.0914) loss_contra: 0.0015 (0.0108) time: 3.0203 data: 0.0062 max mem: 31630 Epoch: [11] [5080/5278] eta: 0:09:40 lr: 3.6314404505140245e-05 loss: 0.1093 (0.1141) loss_seg: 0.1081 (0.1131) loss_lansim: 0.0753 (0.0914) loss_contra: 0.0015 (0.0107) time: 3.0141 data: 0.0061 max mem: 31630 Epoch: [11] [5090/5278] eta: 0:09:11 lr: 3.631219590576012e-05 loss: 0.1084 (0.1141) loss_seg: 0.1076 (0.1131) loss_lansim: 0.0759 (0.0914) loss_contra: 0.0015 (0.0108) time: 3.0178 data: 0.0061 max mem: 31630 Epoch: [11] [5100/5278] eta: 0:08:42 lr: 3.630998729145406e-05 loss: 0.1084 (0.1141) loss_seg: 0.1076 (0.1131) loss_lansim: 0.0787 (0.0914) loss_contra: 0.0017 (0.0108) time: 3.0206 data: 0.0061 max mem: 31630 Epoch: [11] [5110/5278] eta: 0:08:12 lr: 3.6307778662220934e-05 loss: 0.1071 (0.1140) loss_seg: 0.1058 (0.1130) loss_lansim: 0.0805 (0.0914) loss_contra: 0.0017 (0.0108) time: 3.0122 data: 0.0061 max mem: 31630 Epoch: [11] [5120/5278] eta: 0:07:43 lr: 3.630557001805966e-05 loss: 0.1067 (0.1140) loss_seg: 0.1049 (0.1130) loss_lansim: 0.0811 (0.0913) loss_contra: 0.0017 (0.0108) time: 3.0180 data: 0.0061 max mem: 31630 Epoch: [11] [5130/5278] eta: 0:07:14 lr: 3.63033613589691e-05 loss: 0.1045 (0.1140) loss_seg: 0.1037 (0.1130) loss_lansim: 0.0813 (0.0913) loss_contra: 0.0017 (0.0108) time: 3.0121 data: 0.0061 max mem: 31630 Epoch: [11] [5140/5278] eta: 0:06:44 lr: 3.6301152684948164e-05 loss: 0.1007 (0.1140) loss_seg: 0.1000 (0.1130) loss_lansim: 0.0814 (0.0913) loss_contra: 0.0019 (0.0108) time: 3.0099 data: 0.0061 max mem: 31630 Epoch: [11] [5150/5278] eta: 0:06:15 lr: 3.6298943995995736e-05 loss: 0.0955 (0.1140) loss_seg: 0.0946 (0.1129) loss_lansim: 0.0813 (0.0913) loss_contra: 0.0017 (0.0108) time: 3.0125 data: 0.0061 max mem: 31630 Epoch: [11] [5160/5278] eta: 0:05:46 lr: 3.629673529211069e-05 loss: 0.0955 (0.1139) loss_seg: 0.0946 (0.1129) loss_lansim: 0.0813 (0.0913) loss_contra: 0.0015 (0.0107) time: 3.0089 data: 0.0061 max mem: 31630 Epoch: [11] [5170/5278] eta: 0:05:16 lr: 3.629452657329195e-05 loss: 0.1004 (0.1141) loss_seg: 0.0994 (0.1131) loss_lansim: 0.0813 (0.0912) loss_contra: 0.0014 (0.0107) time: 3.0106 data: 0.0061 max mem: 31630 Epoch: [11] [5180/5278] eta: 0:04:47 lr: 3.629231783953837e-05 loss: 0.1008 (0.1141) loss_seg: 0.0998 (0.1131) loss_lansim: 0.0813 (0.0912) loss_contra: 0.0017 (0.0107) time: 3.0091 data: 0.0061 max mem: 31630 Epoch: [11] [5190/5278] eta: 0:04:18 lr: 3.6290109090848856e-05 loss: 0.1033 (0.1141) loss_seg: 0.1023 (0.1131) loss_lansim: 0.0802 (0.0912) loss_contra: 0.0017 (0.0108) time: 3.0111 data: 0.0061 max mem: 31630 Epoch: [11] [5200/5278] eta: 0:03:48 lr: 3.62879003272223e-05 loss: 0.1033 (0.1141) loss_seg: 0.1024 (0.1131) loss_lansim: 0.0802 (0.0912) loss_contra: 0.0014 (0.0108) time: 3.0076 data: 0.0061 max mem: 31630 Epoch: [11] [5210/5278] eta: 0:03:19 lr: 3.628569154865758e-05 loss: 0.1042 (0.1141) loss_seg: 0.1034 (0.1131) loss_lansim: 0.0813 (0.0912) loss_contra: 0.0016 (0.0108) time: 3.0128 data: 0.0061 max mem: 31630 Epoch: [11] [5220/5278] eta: 0:02:50 lr: 3.6283482755153586e-05 loss: 0.1042 (0.1141) loss_seg: 0.1034 (0.1130) loss_lansim: 0.0818 (0.0912) loss_contra: 0.0014 (0.0108) time: 3.0050 data: 0.0061 max mem: 31630 Epoch: [11] [5230/5278] eta: 0:02:20 lr: 3.6281273946709224e-05 loss: 0.1053 (0.1141) loss_seg: 0.1039 (0.1130) loss_lansim: 0.0818 (0.0912) loss_contra: 0.0015 (0.0108) time: 3.0074 data: 0.0060 max mem: 31630 Epoch: [11] [5240/5278] eta: 0:01:51 lr: 3.627906512332335e-05 loss: 0.1048 (0.1140) loss_seg: 0.1039 (0.1130) loss_lansim: 0.0837 (0.0911) loss_contra: 0.0015 (0.0107) time: 3.0036 data: 0.0061 max mem: 31630 Epoch: [11] [5250/5278] eta: 0:01:22 lr: 3.6276856284994885e-05 loss: 0.1053 (0.1141) loss_seg: 0.1040 (0.1130) loss_lansim: 0.0838 (0.0911) loss_contra: 0.0017 (0.0107) time: 3.0063 data: 0.0061 max mem: 31630 Epoch: [11] [5260/5278] eta: 0:00:52 lr: 3.62746474317227e-05 loss: 0.1054 (0.1141) loss_seg: 0.1044 (0.1130) loss_lansim: 0.0837 (0.0911) loss_contra: 0.0017 (0.0107) time: 3.0070 data: 0.0060 max mem: 31630 Epoch: [11] [5270/5278] eta: 0:00:23 lr: 3.6272438563505676e-05 loss: 0.1025 (0.1140) loss_seg: 0.1007 (0.1130) loss_lansim: 0.0831 (0.0911) loss_contra: 0.0016 (0.0107) time: 2.9985 data: 0.0060 max mem: 31630 Epoch: [11] Total time: 4:18:15 Test: [ 0/2573] eta: 1:20:41 time: 1.8816 data: 1.7244 max mem: 31630 Test: [ 100/2573] eta: 0:06:32 time: 0.1414 data: 0.0015 max mem: 31630 Test: [ 200/2573] eta: 0:06:03 time: 0.1473 data: 0.0017 max mem: 31630 Test: [ 300/2573] eta: 0:05:39 time: 0.1426 data: 0.0017 max mem: 31630 Test: [ 400/2573] eta: 0:05:22 time: 0.1450 data: 0.0017 max mem: 31630 Test: [ 500/2573] eta: 0:05:06 time: 0.1467 data: 0.0017 max mem: 31630 Test: [ 600/2573] eta: 0:04:52 time: 0.1477 data: 0.0017 max mem: 31630 Test: [ 700/2573] eta: 0:04:38 time: 0.1521 data: 0.0017 max mem: 31630 Test: [ 800/2573] eta: 0:04:23 time: 0.1491 data: 0.0017 max mem: 31630 Test: [ 900/2573] eta: 0:04:08 time: 0.1496 data: 0.0017 max mem: 31630 Test: [1000/2573] eta: 0:03:53 time: 0.1477 data: 0.0017 max mem: 31630 Test: [1100/2573] eta: 0:03:38 time: 0.1474 data: 0.0017 max mem: 31630 Test: [1200/2573] eta: 0:03:24 time: 0.1496 data: 0.0017 max mem: 31630 Test: [1300/2573] eta: 0:03:09 time: 0.1470 data: 0.0017 max mem: 31630 Test: [1400/2573] eta: 0:02:53 time: 0.1436 data: 0.0017 max mem: 31630 Test: [1500/2573] eta: 0:02:38 time: 0.1480 data: 0.0017 max mem: 31630 Test: [1600/2573] eta: 0:02:24 time: 0.1486 data: 0.0017 max mem: 31630 Test: [1700/2573] eta: 0:02:09 time: 0.1489 data: 0.0017 max mem: 31630 Test: [1800/2573] eta: 0:01:54 time: 0.1481 data: 0.0017 max mem: 31630 Test: [1900/2573] eta: 0:01:39 time: 0.1456 data: 0.0016 max mem: 31630 Test: [2000/2573] eta: 0:01:24 time: 0.1460 data: 0.0017 max mem: 31630 Test: [2100/2573] eta: 0:01:10 time: 0.1497 data: 0.0016 max mem: 31630 Test: [2200/2573] eta: 0:00:55 time: 0.1451 data: 0.0017 max mem: 31630 Test: [2300/2573] eta: 0:00:40 time: 0.1496 data: 0.0017 max mem: 31630 Test: [2400/2573] eta: 0:00:25 time: 0.1485 data: 0.0017 max mem: 31630 Test: [2500/2573] eta: 0:00:10 time: 0.1501 data: 0.0016 max mem: 31630 Test: Total time: 0:06:21 Final results: precision@0.5 = 62.34 precision@0.6 = 56.96 precision@0.7 = 48.69 precision@0.8 = 36.81 precision@0.9 = 16.20 overall IoU = 54.94 mean IoU = 55.89 Better epoch: 11 The best_performance is 54.94469710359524 Epoch: [12] [ 0/5278] eta: 7:51:53 lr: 3.627067145817104e-05 loss: 0.0712 (0.0712) loss_seg: 0.0694 (0.0694) loss_lansim: 0.0854 (0.0854) loss_contra: 0.0913 (0.0913) time: 5.3645 data: 2.1708 max mem: 31630 Epoch: [12] [ 10/5278] eta: 4:43:28 lr: 3.626846256305053e-05 loss: 0.0756 (0.0909) loss_seg: 0.0749 (0.0898) loss_lansim: 0.0740 (0.0773) loss_contra: 0.0074 (0.0300) time: 3.2287 data: 0.2016 max mem: 31630 Epoch: [12] [ 20/5278] eta: 4:33:21 lr: 3.626625365298207e-05 loss: 0.0756 (0.0968) loss_seg: 0.0749 (0.0958) loss_lansim: 0.0778 (0.0796) loss_contra: 0.0048 (0.0209) time: 3.1193 data: 0.1081 max mem: 31630 Epoch: [12] [ 30/5278] eta: 4:28:39 lr: 3.626404472796456e-05 loss: 0.0808 (0.0979) loss_seg: 0.0799 (0.0969) loss_lansim: 0.0771 (0.0795) loss_contra: 0.0042 (0.0153) time: 3.0715 data: 0.0752 max mem: 31630 Epoch: [12] [ 40/5278] eta: 4:27:10 lr: 3.626183578799687e-05 loss: 0.0818 (0.0963) loss_seg: 0.0811 (0.0954) loss_lansim: 0.0771 (0.0793) loss_contra: 0.0018 (0.0137) time: 3.0605 data: 0.0584 max mem: 31630 Epoch: [12] [ 50/5278] eta: 4:26:12 lr: 3.62596268330779e-05 loss: 0.0906 (0.1028) loss_seg: 0.0896 (0.1018) loss_lansim: 0.0778 (0.0794) loss_contra: 0.0025 (0.0154) time: 3.0552 data: 0.0482 max mem: 31630 Epoch: [12] [ 60/5278] eta: 4:24:47 lr: 3.625741786320654e-05 loss: 0.0915 (0.1040) loss_seg: 0.0908 (0.1031) loss_lansim: 0.0777 (0.0800) loss_contra: 0.0024 (0.0137) time: 3.0448 data: 0.0414 max mem: 31630 Epoch: [12] [ 70/5278] eta: 4:23:42 lr: 3.6255208878381664e-05 loss: 0.1017 (0.1037) loss_seg: 0.1009 (0.1028) loss_lansim: 0.0790 (0.0812) loss_contra: 0.0018 (0.0120) time: 3.0380 data: 0.0364 max mem: 31630 Epoch: [12] [ 80/5278] eta: 4:22:51 lr: 3.625299987860217e-05 loss: 0.1003 (0.1022) loss_seg: 0.0995 (0.1013) loss_lansim: 0.0811 (0.0821) loss_contra: 0.0017 (0.0109) time: 3.0342 data: 0.0326 max mem: 31630 Epoch: [12] [ 90/5278] eta: 4:21:50 lr: 3.6250790863866936e-05 loss: 0.0989 (0.1034) loss_seg: 0.0980 (0.1025) loss_lansim: 0.0811 (0.0824) loss_contra: 0.0017 (0.0100) time: 3.0282 data: 0.0297 max mem: 31630 Epoch: [12] [ 100/5278] eta: 4:21:09 lr: 3.624858183417484e-05 loss: 0.0977 (0.1031) loss_seg: 0.0969 (0.1022) loss_lansim: 0.0810 (0.0824) loss_contra: 0.0013 (0.0092) time: 3.0029 data: 0.0059 max mem: 31630 Epoch: [12] [ 110/5278] eta: 4:20:38 lr: 3.624637278952479e-05 loss: 0.1017 (0.1043) loss_seg: 0.1009 (0.1034) loss_lansim: 0.0814 (0.0824) loss_contra: 0.0011 (0.0101) time: 3.0037 data: 0.0061 max mem: 31630 Epoch: [12] [ 120/5278] eta: 4:19:56 lr: 3.6244163729915667e-05 loss: 0.1003 (0.1037) loss_seg: 0.0995 (0.1027) loss_lansim: 0.0821 (0.0826) loss_contra: 0.0009 (0.0113) time: 3.0038 data: 0.0061 max mem: 31630 Epoch: [12] [ 130/5278] eta: 4:19:09 lr: 3.624195465534634e-05 loss: 0.0998 (0.1032) loss_seg: 0.0990 (0.1022) loss_lansim: 0.0830 (0.0830) loss_contra: 0.0011 (0.0114) time: 3.0048 data: 0.0061 max mem: 31630 Epoch: [12] [ 140/5278] eta: 4:18:41 lr: 3.6239745565815706e-05 loss: 0.1003 (0.1035) loss_seg: 0.0995 (0.1026) loss_lansim: 0.0843 (0.0829) loss_contra: 0.0013 (0.0110) time: 3.0047 data: 0.0060 max mem: 31630 Epoch: [12] [ 150/5278] eta: 4:17:58 lr: 3.623753646132265e-05 loss: 0.0998 (0.1048) loss_seg: 0.0990 (0.1039) loss_lansim: 0.0850 (0.0834) loss_contra: 0.0012 (0.0105) time: 2.9997 data: 0.0060 max mem: 31630 Epoch: [12] [ 160/5278] eta: 4:17:33 lr: 3.623532734186606e-05 loss: 0.0998 (0.1044) loss_seg: 0.0990 (0.1034) loss_lansim: 0.0866 (0.0844) loss_contra: 0.0015 (0.0115) time: 3.0041 data: 0.0060 max mem: 31630 Epoch: [12] [ 170/5278] eta: 4:16:54 lr: 3.6233118207444806e-05 loss: 0.0991 (0.1048) loss_seg: 0.0982 (0.1038) loss_lansim: 0.0867 (0.0846) loss_contra: 0.0017 (0.0113) time: 3.0034 data: 0.0059 max mem: 31630 Epoch: [12] [ 180/5278] eta: 4:16:18 lr: 3.623090905805779e-05 loss: 0.1024 (0.1070) loss_seg: 0.1016 (0.1060) loss_lansim: 0.0873 (0.0851) loss_contra: 0.0016 (0.0111) time: 3.0023 data: 0.0059 max mem: 31630 Epoch: [12] [ 190/5278] eta: 4:15:35 lr: 3.62286998937039e-05 loss: 0.1070 (0.1080) loss_seg: 0.1060 (0.1070) loss_lansim: 0.0876 (0.0854) loss_contra: 0.0014 (0.0108) time: 3.0012 data: 0.0059 max mem: 31630 Epoch: [12] [ 200/5278] eta: 4:15:07 lr: 3.6226490714382e-05 loss: 0.1078 (0.1080) loss_seg: 0.1070 (0.1071) loss_lansim: 0.0877 (0.0855) loss_contra: 0.0016 (0.0117) time: 3.0028 data: 0.0059 max mem: 31630 Epoch: [12] [ 210/5278] eta: 4:14:37 lr: 3.622428152009099e-05 loss: 0.1044 (0.1081) loss_seg: 0.1035 (0.1071) loss_lansim: 0.0881 (0.0855) loss_contra: 0.0014 (0.0113) time: 3.0018 data: 0.0059 max mem: 31630 Epoch: [12] [ 220/5278] eta: 4:13:59 lr: 3.622207231082975e-05 loss: 0.1052 (0.1094) loss_seg: 0.1044 (0.1084) loss_lansim: 0.0884 (0.0856) loss_contra: 0.0014 (0.0113) time: 2.9999 data: 0.0060 max mem: 31630 Epoch: [12] [ 230/5278] eta: 4:13:33 lr: 3.621986308659715e-05 loss: 0.1080 (0.1103) loss_seg: 0.1070 (0.1093) loss_lansim: 0.0881 (0.0856) loss_contra: 0.0013 (0.0109) time: 3.0050 data: 0.0060 max mem: 31630 Epoch: [12] [ 240/5278] eta: 4:12:56 lr: 3.6217653847392105e-05 loss: 0.1081 (0.1104) loss_seg: 0.1071 (0.1094) loss_lansim: 0.0881 (0.0855) loss_contra: 0.0014 (0.0106) time: 3.0004 data: 0.0060 max mem: 31630 Epoch: [12] [ 250/5278] eta: 4:12:29 lr: 3.621544459321348e-05 loss: 0.1052 (0.1098) loss_seg: 0.1044 (0.1089) loss_lansim: 0.0873 (0.0855) loss_contra: 0.0012 (0.0102) time: 3.0046 data: 0.0061 max mem: 31630 Epoch: [12] [ 260/5278] eta: 4:12:04 lr: 3.621323532406016e-05 loss: 0.1044 (0.1099) loss_seg: 0.1036 (0.1090) loss_lansim: 0.0861 (0.0852) loss_contra: 0.0012 (0.0100) time: 3.0054 data: 0.0061 max mem: 31630 Epoch: [12] [ 270/5278] eta: 4:11:36 lr: 3.6211026039931024e-05 loss: 0.1024 (0.1093) loss_seg: 0.1016 (0.1083) loss_lansim: 0.0856 (0.0853) loss_contra: 0.0012 (0.0098) time: 3.0089 data: 0.0062 max mem: 31630 Epoch: [12] [ 280/5278] eta: 4:11:00 lr: 3.6208816740824965e-05 loss: 0.0998 (0.1090) loss_seg: 0.0989 (0.1080) loss_lansim: 0.0844 (0.0852) loss_contra: 0.0012 (0.0098) time: 3.0076 data: 0.0062 max mem: 31630 Epoch: [12] [ 290/5278] eta: 4:10:41 lr: 3.620660742674085e-05 loss: 0.0978 (0.1084) loss_seg: 0.0969 (0.1074) loss_lansim: 0.0827 (0.0851) loss_contra: 0.0013 (0.0097) time: 3.0182 data: 0.0062 max mem: 31630 Epoch: [12] [ 300/5278] eta: 4:10:11 lr: 3.6204398097677586e-05 loss: 0.0976 (0.1076) loss_seg: 0.0963 (0.1067) loss_lansim: 0.0829 (0.0851) loss_contra: 0.0012 (0.0094) time: 3.0175 data: 0.0062 max mem: 31630 Epoch: [12] [ 310/5278] eta: 4:09:33 lr: 3.620218875363403e-05 loss: 0.0955 (0.1073) loss_seg: 0.0947 (0.1064) loss_lansim: 0.0829 (0.0851) loss_contra: 0.0012 (0.0092) time: 3.0130 data: 0.0062 max mem: 31630 Epoch: [12] [ 320/5278] eta: 4:09:13 lr: 3.6199979394609084e-05 loss: 0.0930 (0.1071) loss_seg: 0.0922 (0.1062) loss_lansim: 0.0831 (0.0852) loss_contra: 0.0009 (0.0089) time: 3.0224 data: 0.0061 max mem: 31630 Epoch: [12] [ 330/5278] eta: 4:08:48 lr: 3.619777002060162e-05 loss: 0.0929 (0.1069) loss_seg: 0.0919 (0.1059) loss_lansim: 0.0833 (0.0851) loss_contra: 0.0009 (0.0087) time: 3.0246 data: 0.0061 max mem: 31630 Epoch: [12] [ 340/5278] eta: 4:08:10 lr: 3.6195560631610534e-05 loss: 0.0940 (0.1069) loss_seg: 0.0932 (0.1060) loss_lansim: 0.0838 (0.0851) loss_contra: 0.0007 (0.0086) time: 3.0226 data: 0.0061 max mem: 31630 Epoch: [12] [ 350/5278] eta: 4:07:31 lr: 3.6193351227634694e-05 loss: 0.0898 (0.1064) loss_seg: 0.0887 (0.1054) loss_lansim: 0.0831 (0.0850) loss_contra: 0.0007 (0.0086) time: 3.0158 data: 0.0060 max mem: 31630 Epoch: [12] [ 360/5278] eta: 4:06:59 lr: 3.619114180867298e-05 loss: 0.0926 (0.1063) loss_seg: 0.0918 (0.1054) loss_lansim: 0.0841 (0.0850) loss_contra: 0.0006 (0.0084) time: 3.0112 data: 0.0060 max mem: 31630 Epoch: [12] [ 370/5278] eta: 4:06:29 lr: 3.618893237472428e-05 loss: 0.0940 (0.1064) loss_seg: 0.0932 (0.1055) loss_lansim: 0.0840 (0.0851) loss_contra: 0.0006 (0.0085) time: 3.0099 data: 0.0060 max mem: 31630 Epoch: [12] [ 380/5278] eta: 4:05:53 lr: 3.618672292578748e-05 loss: 0.0979 (0.1061) loss_seg: 0.0968 (0.1052) loss_lansim: 0.0843 (0.0851) loss_contra: 0.0006 (0.0084) time: 3.0087 data: 0.0060 max mem: 31630 Epoch: [12] [ 390/5278] eta: 4:05:26 lr: 3.618451346186145e-05 loss: 0.0940 (0.1061) loss_seg: 0.0932 (0.1052) loss_lansim: 0.0851 (0.0851) loss_contra: 0.0006 (0.0083) time: 3.0046 data: 0.0060 max mem: 31630 Epoch: [12] [ 400/5278] eta: 4:04:48 lr: 3.618230398294509e-05 loss: 0.0956 (0.1057) loss_seg: 0.0947 (0.1047) loss_lansim: 0.0843 (0.0850) loss_contra: 0.0006 (0.0081) time: 2.9978 data: 0.0060 max mem: 31630 Epoch: [12] [ 410/5278] eta: 4:04:13 lr: 3.6180094489037264e-05 loss: 0.0956 (0.1056) loss_seg: 0.0947 (0.1046) loss_lansim: 0.0846 (0.0850) loss_contra: 0.0006 (0.0079) time: 2.9983 data: 0.0060 max mem: 31630 Epoch: [12] [ 420/5278] eta: 4:03:40 lr: 3.617788498013686e-05 loss: 0.0947 (0.1051) loss_seg: 0.0937 (0.1042) loss_lansim: 0.0841 (0.0851) loss_contra: 0.0007 (0.0078) time: 2.9895 data: 0.0061 max mem: 31630 Epoch: [12] [ 430/5278] eta: 4:03:06 lr: 3.6175675456242755e-05 loss: 0.0947 (0.1053) loss_seg: 0.0937 (0.1044) loss_lansim: 0.0840 (0.0850) loss_contra: 0.0007 (0.0077) time: 2.9815 data: 0.0061 max mem: 31630 Epoch: [12] [ 440/5278] eta: 4:02:40 lr: 3.6173465917353825e-05 loss: 0.0935 (0.1052) loss_seg: 0.0925 (0.1043) loss_lansim: 0.0841 (0.0851) loss_contra: 0.0007 (0.0076) time: 2.9897 data: 0.0062 max mem: 31630 Epoch: [12] [ 450/5278] eta: 4:02:20 lr: 3.617125636346897e-05 loss: 0.0935 (0.1046) loss_seg: 0.0925 (0.1037) loss_lansim: 0.0844 (0.0852) loss_contra: 0.0008 (0.0074) time: 3.0041 data: 0.0062 max mem: 31630 Epoch: [12] [ 460/5278] eta: 4:01:58 lr: 3.616904679458705e-05 loss: 0.0935 (0.1046) loss_seg: 0.0925 (0.1037) loss_lansim: 0.0844 (0.0852) loss_contra: 0.0008 (0.0075) time: 3.0137 data: 0.0063 max mem: 31630 Epoch: [12] [ 470/5278] eta: 4:01:29 lr: 3.616683721070696e-05 loss: 0.0909 (0.1046) loss_seg: 0.0900 (0.1037) loss_lansim: 0.0841 (0.0851) loss_contra: 0.0008 (0.0074) time: 3.0145 data: 0.0063 max mem: 31630 Epoch: [12] [ 480/5278] eta: 4:01:05 lr: 3.6164627611827575e-05 loss: 0.0886 (0.1042) loss_seg: 0.0879 (0.1033) loss_lansim: 0.0842 (0.0853) loss_contra: 0.0008 (0.0073) time: 3.0255 data: 0.0064 max mem: 31630 Epoch: [12] [ 490/5278] eta: 4:00:40 lr: 3.616241799794777e-05 loss: 0.0886 (0.1039) loss_seg: 0.0879 (0.1030) loss_lansim: 0.0841 (0.0853) loss_contra: 0.0008 (0.0072) time: 3.0285 data: 0.0064 max mem: 31630 Epoch: [12] [ 500/5278] eta: 4:00:12 lr: 3.6160208369066426e-05 loss: 0.0892 (0.1040) loss_seg: 0.0884 (0.1031) loss_lansim: 0.0852 (0.0853) loss_contra: 0.0007 (0.0071) time: 3.0374 data: 0.0064 max mem: 31630 Epoch: [12] [ 510/5278] eta: 3:59:45 lr: 3.615799872518242e-05 loss: 0.0886 (0.1041) loss_seg: 0.0879 (0.1031) loss_lansim: 0.0855 (0.0854) loss_contra: 0.0009 (0.0071) time: 3.0458 data: 0.0064 max mem: 31630 Epoch: [12] [ 520/5278] eta: 3:59:22 lr: 3.615578906629464e-05 loss: 0.0904 (0.1041) loss_seg: 0.0896 (0.1032) loss_lansim: 0.0866 (0.0855) loss_contra: 0.0008 (0.0070) time: 3.0563 data: 0.0064 max mem: 31630 Epoch: [12] [ 530/5278] eta: 3:58:58 lr: 3.615357939240197e-05 loss: 0.0892 (0.1038) loss_seg: 0.0884 (0.1029) loss_lansim: 0.0869 (0.0855) loss_contra: 0.0007 (0.0072) time: 3.0680 data: 0.0064 max mem: 31630 Epoch: [12] [ 540/5278] eta: 3:58:28 lr: 3.615136970350327e-05 loss: 0.0886 (0.1037) loss_seg: 0.0879 (0.1027) loss_lansim: 0.0866 (0.0855) loss_contra: 0.0007 (0.0071) time: 3.0652 data: 0.0065 max mem: 31630 Epoch: [12] [ 550/5278] eta: 3:58:03 lr: 3.614915999959743e-05 loss: 0.0901 (0.1035) loss_seg: 0.0892 (0.1026) loss_lansim: 0.0862 (0.0856) loss_contra: 0.0007 (0.0070) time: 3.0631 data: 0.0065 max mem: 31630 Epoch: [12] [ 560/5278] eta: 3:57:36 lr: 3.6146950280683335e-05 loss: 0.0867 (0.1030) loss_seg: 0.0858 (0.1021) loss_lansim: 0.0866 (0.0857) loss_contra: 0.0008 (0.0070) time: 3.0599 data: 0.0064 max mem: 31630 Epoch: [12] [ 570/5278] eta: 3:57:01 lr: 3.6144740546759845e-05 loss: 0.0872 (0.1027) loss_seg: 0.0863 (0.1018) loss_lansim: 0.0866 (0.0856) loss_contra: 0.0007 (0.0071) time: 3.0545 data: 0.0064 max mem: 31630 Epoch: [12] [ 580/5278] eta: 3:56:31 lr: 3.614253079782586e-05 loss: 0.0892 (0.1025) loss_seg: 0.0884 (0.1016) loss_lansim: 0.0862 (0.0856) loss_contra: 0.0007 (0.0071) time: 3.0488 data: 0.0063 max mem: 31630 Epoch: [12] [ 590/5278] eta: 3:55:58 lr: 3.614032103388025e-05 loss: 0.0904 (0.1025) loss_seg: 0.0896 (0.1016) loss_lansim: 0.0866 (0.0857) loss_contra: 0.0008 (0.0071) time: 3.0414 data: 0.0063 max mem: 31630 Epoch: [12] [ 600/5278] eta: 3:55:19 lr: 3.613811125492188e-05 loss: 0.0904 (0.1023) loss_seg: 0.0896 (0.1014) loss_lansim: 0.0870 (0.0857) loss_contra: 0.0009 (0.0070) time: 3.0282 data: 0.0063 max mem: 31630 Epoch: [12] [ 610/5278] eta: 3:54:46 lr: 3.6135901460949655e-05 loss: 0.0881 (0.1024) loss_seg: 0.0873 (0.1015) loss_lansim: 0.0869 (0.0858) loss_contra: 0.0011 (0.0070) time: 3.0198 data: 0.0063 max mem: 31630 Epoch: [12] [ 620/5278] eta: 3:54:11 lr: 3.613369165196242e-05 loss: 0.0861 (0.1020) loss_seg: 0.0854 (0.1010) loss_lansim: 0.0865 (0.0858) loss_contra: 0.0013 (0.0070) time: 3.0069 data: 0.0063 max mem: 31630 Epoch: [12] [ 630/5278] eta: 3:53:37 lr: 3.6131481827959086e-05 loss: 0.0872 (0.1020) loss_seg: 0.0863 (0.1011) loss_lansim: 0.0868 (0.0858) loss_contra: 0.0013 (0.0069) time: 2.9936 data: 0.0062 max mem: 31630 Epoch: [12] [ 640/5278] eta: 3:53:04 lr: 3.612927198893851e-05 loss: 0.0881 (0.1021) loss_seg: 0.0873 (0.1012) loss_lansim: 0.0870 (0.0858) loss_contra: 0.0010 (0.0068) time: 2.9896 data: 0.0061 max mem: 31630 Epoch: [12] [ 650/5278] eta: 3:52:30 lr: 3.612706213489957e-05 loss: 0.0872 (0.1020) loss_seg: 0.0863 (0.1010) loss_lansim: 0.0870 (0.0858) loss_contra: 0.0010 (0.0068) time: 2.9785 data: 0.0061 max mem: 31630 Epoch: [12] [ 660/5278] eta: 3:51:54 lr: 3.612485226584116e-05 loss: 0.0909 (0.1021) loss_seg: 0.0900 (0.1012) loss_lansim: 0.0859 (0.0858) loss_contra: 0.0010 (0.0067) time: 2.9657 data: 0.0061 max mem: 31630 Epoch: [12] [ 670/5278] eta: 3:51:23 lr: 3.612264238176213e-05 loss: 0.0919 (0.1021) loss_seg: 0.0912 (0.1012) loss_lansim: 0.0868 (0.0858) loss_contra: 0.0010 (0.0067) time: 2.9684 data: 0.0061 max mem: 31630 Epoch: [12] [ 680/5278] eta: 3:50:54 lr: 3.612043248266138e-05 loss: 0.0909 (0.1018) loss_seg: 0.0900 (0.1009) loss_lansim: 0.0870 (0.0857) loss_contra: 0.0010 (0.0067) time: 2.9688 data: 0.0062 max mem: 31630 Epoch: [12] [ 690/5278] eta: 3:50:18 lr: 3.611822256853777e-05 loss: 0.0941 (0.1021) loss_seg: 0.0931 (0.1012) loss_lansim: 0.0848 (0.0856) loss_contra: 0.0010 (0.0067) time: 2.9621 data: 0.0062 max mem: 31630 Epoch: [12] [ 700/5278] eta: 3:49:46 lr: 3.611601263939019e-05 loss: 0.0965 (0.1022) loss_seg: 0.0949 (0.1013) loss_lansim: 0.0839 (0.0855) loss_contra: 0.0010 (0.0069) time: 2.9696 data: 0.0062 max mem: 31630 Epoch: [12] [ 710/5278] eta: 3:49:17 lr: 3.611380269521751e-05 loss: 0.0935 (0.1020) loss_seg: 0.0924 (0.1011) loss_lansim: 0.0810 (0.0854) loss_contra: 0.0010 (0.0069) time: 2.9759 data: 0.0063 max mem: 31630 Epoch: [12] [ 720/5278] eta: 3:48:46 lr: 3.611159273601861e-05 loss: 0.0965 (0.1018) loss_seg: 0.0949 (0.1009) loss_lansim: 0.0790 (0.0852) loss_contra: 0.0008 (0.0071) time: 2.9791 data: 0.0063 max mem: 31630 Epoch: [12] [ 730/5278] eta: 3:48:15 lr: 3.610938276179235e-05 loss: 0.0917 (0.1017) loss_seg: 0.0909 (0.1007) loss_lansim: 0.0782 (0.0851) loss_contra: 0.0010 (0.0071) time: 2.9825 data: 0.0063 max mem: 31630 Epoch: [12] [ 740/5278] eta: 3:47:45 lr: 3.6107172772537635e-05 loss: 0.0890 (0.1015) loss_seg: 0.0879 (0.1006) loss_lansim: 0.0777 (0.0850) loss_contra: 0.0010 (0.0070) time: 2.9866 data: 0.0063 max mem: 31630 Epoch: [12] [ 750/5278] eta: 3:47:15 lr: 3.6104962768253317e-05 loss: 0.0917 (0.1013) loss_seg: 0.0909 (0.1004) loss_lansim: 0.0771 (0.0848) loss_contra: 0.0011 (0.0073) time: 2.9920 data: 0.0063 max mem: 31630 Epoch: [12] [ 760/5278] eta: 3:46:46 lr: 3.6102752748938276e-05 loss: 0.0875 (0.1012) loss_seg: 0.0868 (0.1002) loss_lansim: 0.0770 (0.0847) loss_contra: 0.0011 (0.0076) time: 3.0017 data: 0.0063 max mem: 31630 Epoch: [12] [ 770/5278] eta: 3:46:16 lr: 3.6100542714591403e-05 loss: 0.0875 (0.1013) loss_seg: 0.0868 (0.1003) loss_lansim: 0.0757 (0.0846) loss_contra: 0.0012 (0.0085) time: 3.0028 data: 0.0063 max mem: 31630 Epoch: [12] [ 780/5278] eta: 3:45:47 lr: 3.6098332665211545e-05 loss: 0.0917 (0.1013) loss_seg: 0.0909 (0.1003) loss_lansim: 0.0743 (0.0844) loss_contra: 0.0014 (0.0088) time: 3.0039 data: 0.0063 max mem: 31630 Epoch: [12] [ 790/5278] eta: 3:45:14 lr: 3.6096122600797605e-05 loss: 0.0848 (0.1010) loss_seg: 0.0840 (0.1000) loss_lansim: 0.0733 (0.0842) loss_contra: 0.0017 (0.0091) time: 3.0069 data: 0.0063 max mem: 31630 Epoch: [12] [ 800/5278] eta: 3:44:45 lr: 3.609391252134845e-05 loss: 0.0820 (0.1010) loss_seg: 0.0812 (0.1000) loss_lansim: 0.0727 (0.0841) loss_contra: 0.0022 (0.0092) time: 3.0118 data: 0.0062 max mem: 31630 Epoch: [12] [ 810/5278] eta: 3:44:15 lr: 3.6091702426862936e-05 loss: 0.0857 (0.1011) loss_seg: 0.0842 (0.1002) loss_lansim: 0.0723 (0.0839) loss_contra: 0.0022 (0.0091) time: 3.0109 data: 0.0062 max mem: 31630 Epoch: [12] [ 820/5278] eta: 3:43:45 lr: 3.6089492317339964e-05 loss: 0.0857 (0.1010) loss_seg: 0.0842 (0.1001) loss_lansim: 0.0723 (0.0838) loss_contra: 0.0023 (0.0091) time: 3.0114 data: 0.0061 max mem: 31630 Epoch: [12] [ 830/5278] eta: 3:43:12 lr: 3.608728219277839e-05 loss: 0.0875 (0.1010) loss_seg: 0.0868 (0.1001) loss_lansim: 0.0723 (0.0837) loss_contra: 0.0017 (0.0090) time: 3.0084 data: 0.0061 max mem: 31630 Epoch: [12] [ 840/5278] eta: 3:42:43 lr: 3.60850720531771e-05 loss: 0.0876 (0.1009) loss_seg: 0.0869 (0.1000) loss_lansim: 0.0718 (0.0835) loss_contra: 0.0017 (0.0089) time: 3.0101 data: 0.0061 max mem: 31630 Epoch: [12] [ 850/5278] eta: 3:42:10 lr: 3.608286189853496e-05 loss: 0.0876 (0.1006) loss_seg: 0.0869 (0.0997) loss_lansim: 0.0715 (0.0834) loss_contra: 0.0017 (0.0089) time: 3.0031 data: 0.0061 max mem: 31630 Epoch: [12] [ 860/5278] eta: 3:41:41 lr: 3.608065172885085e-05 loss: 0.0913 (0.1006) loss_seg: 0.0906 (0.0997) loss_lansim: 0.0715 (0.0833) loss_contra: 0.0017 (0.0089) time: 3.0035 data: 0.0060 max mem: 31630 Epoch: [12] [ 870/5278] eta: 3:41:13 lr: 3.607844154412364e-05 loss: 0.0896 (0.1008) loss_seg: 0.0888 (0.0999) loss_lansim: 0.0717 (0.0832) loss_contra: 0.0017 (0.0089) time: 3.0075 data: 0.0060 max mem: 31630 Epoch: [12] [ 880/5278] eta: 3:40:42 lr: 3.60762313443522e-05 loss: 0.0872 (0.1007) loss_seg: 0.0865 (0.0998) loss_lansim: 0.0720 (0.0831) loss_contra: 0.0018 (0.0089) time: 3.0030 data: 0.0060 max mem: 31630 Epoch: [12] [ 890/5278] eta: 3:40:10 lr: 3.607402112953542e-05 loss: 0.0913 (0.1009) loss_seg: 0.0906 (0.0999) loss_lansim: 0.0723 (0.0830) loss_contra: 0.0017 (0.0088) time: 3.0068 data: 0.0059 max mem: 31630 Epoch: [12] [ 900/5278] eta: 3:39:42 lr: 3.607181089967215e-05 loss: 0.0913 (0.1008) loss_seg: 0.0906 (0.0999) loss_lansim: 0.0723 (0.0829) loss_contra: 0.0015 (0.0087) time: 3.0091 data: 0.0059 max mem: 31630 Epoch: [12] [ 910/5278] eta: 3:39:10 lr: 3.6069600654761284e-05 loss: 0.0896 (0.1011) loss_seg: 0.0888 (0.1002) loss_lansim: 0.0742 (0.0829) loss_contra: 0.0015 (0.0087) time: 3.0023 data: 0.0059 max mem: 31630 Epoch: [12] [ 920/5278] eta: 3:38:39 lr: 3.606739039480168e-05 loss: 0.0918 (0.1010) loss_seg: 0.0910 (0.1000) loss_lansim: 0.0744 (0.0828) loss_contra: 0.0013 (0.0086) time: 3.0026 data: 0.0058 max mem: 31630 Epoch: [12] [ 930/5278] eta: 3:38:09 lr: 3.6065180119792224e-05 loss: 0.0917 (0.1009) loss_seg: 0.0908 (0.1000) loss_lansim: 0.0743 (0.0827) loss_contra: 0.0012 (0.0085) time: 3.0078 data: 0.0058 max mem: 31630 Epoch: [12] [ 940/5278] eta: 3:37:38 lr: 3.606296982973177e-05 loss: 0.0891 (0.1008) loss_seg: 0.0884 (0.0999) loss_lansim: 0.0743 (0.0827) loss_contra: 0.0012 (0.0086) time: 3.0037 data: 0.0058 max mem: 31630 Epoch: [12] [ 950/5278] eta: 3:37:06 lr: 3.606075952461921e-05 loss: 0.0917 (0.1010) loss_seg: 0.0908 (0.1000) loss_lansim: 0.0751 (0.0826) loss_contra: 0.0012 (0.0086) time: 3.0047 data: 0.0058 max mem: 31630 Epoch: [12] [ 960/5278] eta: 3:36:38 lr: 3.6058549204453406e-05 loss: 0.0917 (0.1011) loss_seg: 0.0908 (0.1002) loss_lansim: 0.0757 (0.0825) loss_contra: 0.0010 (0.0085) time: 3.0071 data: 0.0058 max mem: 31630 Epoch: [12] [ 970/5278] eta: 3:36:11 lr: 3.605633886923323e-05 loss: 0.0933 (0.1013) loss_seg: 0.0926 (0.1003) loss_lansim: 0.0759 (0.0824) loss_contra: 0.0008 (0.0085) time: 3.0091 data: 0.0059 max mem: 31630 Epoch: [12] [ 980/5278] eta: 3:35:41 lr: 3.6054128518957565e-05 loss: 0.1004 (0.1014) loss_seg: 0.0995 (0.1005) loss_lansim: 0.0766 (0.0824) loss_contra: 0.0007 (0.0084) time: 3.0131 data: 0.0059 max mem: 31630 Epoch: [12] [ 990/5278] eta: 3:35:14 lr: 3.605191815362526e-05 loss: 0.1004 (0.1015) loss_seg: 0.0995 (0.1006) loss_lansim: 0.0766 (0.0823) loss_contra: 0.0007 (0.0084) time: 3.0224 data: 0.0060 max mem: 31630 Epoch: [12] [1000/5278] eta: 3:34:47 lr: 3.6049707773235216e-05 loss: 0.1011 (0.1015) loss_seg: 0.1004 (0.1006) loss_lansim: 0.0760 (0.0822) loss_contra: 0.0007 (0.0083) time: 3.0246 data: 0.0061 max mem: 31630 Epoch: [12] [1010/5278] eta: 3:34:20 lr: 3.6047497377786285e-05 loss: 0.0962 (0.1014) loss_seg: 0.0954 (0.1005) loss_lansim: 0.0756 (0.0822) loss_contra: 0.0006 (0.0083) time: 3.0368 data: 0.0061 max mem: 31630 Epoch: [12] [1020/5278] eta: 3:33:56 lr: 3.604528696727734e-05 loss: 0.0939 (0.1012) loss_seg: 0.0932 (0.1003) loss_lansim: 0.0743 (0.0821) loss_contra: 0.0007 (0.0082) time: 3.0517 data: 0.0062 max mem: 31630 Epoch: [12] [1030/5278] eta: 3:33:30 lr: 3.604307654170725e-05 loss: 0.0939 (0.1012) loss_seg: 0.0932 (0.1003) loss_lansim: 0.0755 (0.0821) loss_contra: 0.0007 (0.0082) time: 3.0634 data: 0.0062 max mem: 31630 Epoch: [12] [1040/5278] eta: 3:33:05 lr: 3.6040866101074906e-05 loss: 0.0939 (0.1010) loss_seg: 0.0932 (0.1001) loss_lansim: 0.0743 (0.0820) loss_contra: 0.0007 (0.0081) time: 3.0773 data: 0.0063 max mem: 31630 Epoch: [12] [1050/5278] eta: 3:32:38 lr: 3.603865564537916e-05 loss: 0.0926 (0.1009) loss_seg: 0.0918 (0.1000) loss_lansim: 0.0745 (0.0820) loss_contra: 0.0005 (0.0081) time: 3.0907 data: 0.0063 max mem: 31630 Epoch: [12] [1060/5278] eta: 3:32:12 lr: 3.6036445174618874e-05 loss: 0.0935 (0.1009) loss_seg: 0.0926 (0.1000) loss_lansim: 0.0755 (0.0819) loss_contra: 0.0005 (0.0080) time: 3.0974 data: 0.0063 max mem: 31630 Epoch: [12] [1070/5278] eta: 3:31:44 lr: 3.603423468879294e-05 loss: 0.0918 (0.1012) loss_seg: 0.0907 (0.1003) loss_lansim: 0.0756 (0.0818) loss_contra: 0.0005 (0.0081) time: 3.0990 data: 0.0064 max mem: 31630 Epoch: [12] [1080/5278] eta: 3:31:13 lr: 3.603202418790023e-05 loss: 0.0919 (0.1015) loss_seg: 0.0911 (0.1006) loss_lansim: 0.0757 (0.0818) loss_contra: 0.0005 (0.0080) time: 3.0948 data: 0.0064 max mem: 31630 Epoch: [12] [1090/5278] eta: 3:30:43 lr: 3.6029813671939596e-05 loss: 0.0907 (0.1013) loss_seg: 0.0901 (0.1004) loss_lansim: 0.0757 (0.0817) loss_contra: 0.0005 (0.0080) time: 3.0889 data: 0.0063 max mem: 31630 Epoch: [12] [1100/5278] eta: 3:30:13 lr: 3.602760314090991e-05 loss: 0.0922 (0.1014) loss_seg: 0.0915 (0.1005) loss_lansim: 0.0757 (0.0817) loss_contra: 0.0006 (0.0080) time: 3.0841 data: 0.0063 max mem: 31630 Epoch: [12] [1110/5278] eta: 3:29:44 lr: 3.6025392594810056e-05 loss: 0.0943 (0.1015) loss_seg: 0.0936 (0.1006) loss_lansim: 0.0757 (0.0816) loss_contra: 0.0008 (0.0080) time: 3.0807 data: 0.0063 max mem: 31630 Epoch: [12] [1120/5278] eta: 3:29:13 lr: 3.60231820336389e-05 loss: 0.0963 (0.1015) loss_seg: 0.0953 (0.1006) loss_lansim: 0.0763 (0.0816) loss_contra: 0.0006 (0.0080) time: 3.0648 data: 0.0062 max mem: 31630 Epoch: [12] [1130/5278] eta: 3:28:44 lr: 3.60209714573953e-05 loss: 0.0944 (0.1014) loss_seg: 0.0937 (0.1005) loss_lansim: 0.0763 (0.0816) loss_contra: 0.0006 (0.0079) time: 3.0577 data: 0.0062 max mem: 31630 Epoch: [12] [1140/5278] eta: 3:28:14 lr: 3.6018760866078136e-05 loss: 0.0946 (0.1014) loss_seg: 0.0939 (0.1005) loss_lansim: 0.0762 (0.0815) loss_contra: 0.0006 (0.0079) time: 3.0467 data: 0.0062 max mem: 31630 Epoch: [12] [1150/5278] eta: 3:27:44 lr: 3.601655025968627e-05 loss: 0.0963 (0.1018) loss_seg: 0.0953 (0.1009) loss_lansim: 0.0762 (0.0815) loss_contra: 0.0007 (0.0079) time: 3.0403 data: 0.0062 max mem: 31630 Epoch: [12] [1160/5278] eta: 3:27:14 lr: 3.601433963821858e-05 loss: 0.0960 (0.1019) loss_seg: 0.0952 (0.1010) loss_lansim: 0.0764 (0.0815) loss_contra: 0.0007 (0.0078) time: 3.0291 data: 0.0061 max mem: 31630 Epoch: [12] [1170/5278] eta: 3:26:45 lr: 3.601212900167393e-05 loss: 0.0944 (0.1018) loss_seg: 0.0937 (0.1009) loss_lansim: 0.0766 (0.0815) loss_contra: 0.0009 (0.0078) time: 3.0263 data: 0.0061 max mem: 31630 Epoch: [12] [1180/5278] eta: 3:26:14 lr: 3.600991835005119e-05 loss: 0.0943 (0.1017) loss_seg: 0.0936 (0.1009) loss_lansim: 0.0771 (0.0814) loss_contra: 0.0010 (0.0080) time: 3.0268 data: 0.0061 max mem: 31630 Epoch: [12] [1190/5278] eta: 3:25:44 lr: 3.6007707683349234e-05 loss: 0.0946 (0.1019) loss_seg: 0.0939 (0.1010) loss_lansim: 0.0771 (0.0814) loss_contra: 0.0014 (0.0080) time: 3.0270 data: 0.0062 max mem: 31630 Epoch: [12] [1200/5278] eta: 3:25:14 lr: 3.600549700156692e-05 loss: 0.0946 (0.1019) loss_seg: 0.0939 (0.1010) loss_lansim: 0.0771 (0.0814) loss_contra: 0.0017 (0.0080) time: 3.0272 data: 0.0062 max mem: 31630 Epoch: [12] [1210/5278] eta: 3:24:43 lr: 3.600328630470312e-05 loss: 0.0943 (0.1021) loss_seg: 0.0936 (0.1012) loss_lansim: 0.0772 (0.0813) loss_contra: 0.0018 (0.0084) time: 3.0222 data: 0.0062 max mem: 31630 Epoch: [12] [1220/5278] eta: 3:24:14 lr: 3.60010755927567e-05 loss: 0.0946 (0.1022) loss_seg: 0.0939 (0.1013) loss_lansim: 0.0768 (0.0813) loss_contra: 0.0023 (0.0085) time: 3.0287 data: 0.0062 max mem: 31630 Epoch: [12] [1230/5278] eta: 3:23:44 lr: 3.599886486572653e-05 loss: 0.1004 (0.1023) loss_seg: 0.0997 (0.1014) loss_lansim: 0.0760 (0.0812) loss_contra: 0.0024 (0.0089) time: 3.0260 data: 0.0062 max mem: 31630 Epoch: [12] [1240/5278] eta: 3:23:14 lr: 3.5996654123611483e-05 loss: 0.1004 (0.1022) loss_seg: 0.0997 (0.1013) loss_lansim: 0.0764 (0.0811) loss_contra: 0.0027 (0.0090) time: 3.0249 data: 0.0062 max mem: 31630 Epoch: [12] [1250/5278] eta: 3:22:42 lr: 3.599444336641043e-05 loss: 0.0952 (0.1020) loss_seg: 0.0941 (0.1011) loss_lansim: 0.0758 (0.0811) loss_contra: 0.0026 (0.0090) time: 3.0205 data: 0.0062 max mem: 31630 Epoch: [12] [1260/5278] eta: 3:22:12 lr: 3.5992232594122216e-05 loss: 0.0952 (0.1022) loss_seg: 0.0943 (0.1013) loss_lansim: 0.0750 (0.0810) loss_contra: 0.0031 (0.0090) time: 3.0204 data: 0.0062 max mem: 31630 Epoch: [12] [1270/5278] eta: 3:21:42 lr: 3.599002180674574e-05 loss: 0.0998 (0.1024) loss_seg: 0.0989 (0.1015) loss_lansim: 0.0747 (0.0810) loss_contra: 0.0024 (0.0089) time: 3.0177 data: 0.0062 max mem: 31630 Epoch: [12] [1280/5278] eta: 3:21:10 lr: 3.598781100427984e-05 loss: 0.0983 (0.1024) loss_seg: 0.0973 (0.1015) loss_lansim: 0.0745 (0.0809) loss_contra: 0.0026 (0.0089) time: 3.0151 data: 0.0062 max mem: 31630 Epoch: [12] [1290/5278] eta: 3:20:40 lr: 3.5985600186723395e-05 loss: 0.1004 (0.1025) loss_seg: 0.0997 (0.1016) loss_lansim: 0.0738 (0.0809) loss_contra: 0.0024 (0.0089) time: 3.0142 data: 0.0061 max mem: 31630 Epoch: [12] [1300/5278] eta: 3:20:11 lr: 3.598338935407528e-05 loss: 0.0998 (0.1026) loss_seg: 0.0989 (0.1017) loss_lansim: 0.0733 (0.0808) loss_contra: 0.0021 (0.0088) time: 3.0157 data: 0.0061 max mem: 31630 Epoch: [12] [1310/5278] eta: 3:19:40 lr: 3.598117850633435e-05 loss: 0.1004 (0.1027) loss_seg: 0.0997 (0.1018) loss_lansim: 0.0734 (0.0807) loss_contra: 0.0015 (0.0088) time: 3.0164 data: 0.0062 max mem: 31630 Epoch: [12] [1320/5278] eta: 3:19:10 lr: 3.597896764349948e-05 loss: 0.1018 (0.1028) loss_seg: 0.1009 (0.1019) loss_lansim: 0.0730 (0.0807) loss_contra: 0.0014 (0.0087) time: 3.0116 data: 0.0061 max mem: 31630 Epoch: [12] [1330/5278] eta: 3:18:39 lr: 3.5976756765569524e-05 loss: 0.0998 (0.1028) loss_seg: 0.0989 (0.1020) loss_lansim: 0.0738 (0.0807) loss_contra: 0.0014 (0.0087) time: 3.0095 data: 0.0061 max mem: 31630 Epoch: [12] [1340/5278] eta: 3:18:08 lr: 3.5974545872543366e-05 loss: 0.0998 (0.1027) loss_seg: 0.0989 (0.1018) loss_lansim: 0.0738 (0.0806) loss_contra: 0.0013 (0.0087) time: 3.0075 data: 0.0061 max mem: 31630 Epoch: [12] [1350/5278] eta: 3:17:37 lr: 3.597233496441986e-05 loss: 0.1018 (0.1028) loss_seg: 0.1009 (0.1019) loss_lansim: 0.0733 (0.0806) loss_contra: 0.0014 (0.0088) time: 3.0063 data: 0.0061 max mem: 31630 Epoch: [12] [1360/5278] eta: 3:17:07 lr: 3.597012404119787e-05 loss: 0.1018 (0.1029) loss_seg: 0.1009 (0.1020) loss_lansim: 0.0738 (0.0806) loss_contra: 0.0014 (0.0088) time: 3.0080 data: 0.0061 max mem: 31630 Epoch: [12] [1370/5278] eta: 3:16:37 lr: 3.5967913102876265e-05 loss: 0.1022 (0.1030) loss_seg: 0.1014 (0.1021) loss_lansim: 0.0739 (0.0805) loss_contra: 0.0017 (0.0090) time: 3.0081 data: 0.0061 max mem: 31630 Epoch: [12] [1380/5278] eta: 3:16:06 lr: 3.5965702149453914e-05 loss: 0.1034 (0.1031) loss_seg: 0.1026 (0.1022) loss_lansim: 0.0742 (0.0805) loss_contra: 0.0018 (0.0093) time: 3.0125 data: 0.0061 max mem: 31630 Epoch: [12] [1390/5278] eta: 3:15:35 lr: 3.5963491180929684e-05 loss: 0.1043 (0.1032) loss_seg: 0.1030 (0.1023) loss_lansim: 0.0756 (0.0805) loss_contra: 0.0023 (0.0094) time: 3.0080 data: 0.0060 max mem: 31630 Epoch: [12] [1400/5278] eta: 3:15:07 lr: 3.5961280197302436e-05 loss: 0.1043 (0.1032) loss_seg: 0.1030 (0.1023) loss_lansim: 0.0759 (0.0805) loss_contra: 0.0028 (0.0094) time: 3.0142 data: 0.0060 max mem: 31630 Epoch: [12] [1410/5278] eta: 3:14:39 lr: 3.595906919857103e-05 loss: 0.1034 (0.1034) loss_seg: 0.1026 (0.1025) loss_lansim: 0.0762 (0.0805) loss_contra: 0.0032 (0.0094) time: 3.0245 data: 0.0060 max mem: 31630 Epoch: [12] [1420/5278] eta: 3:14:11 lr: 3.5956858184734335e-05 loss: 0.0993 (0.1033) loss_seg: 0.0985 (0.1024) loss_lansim: 0.0762 (0.0804) loss_contra: 0.0034 (0.0096) time: 3.0312 data: 0.0061 max mem: 31630 Epoch: [12] [1430/5278] eta: 3:13:43 lr: 3.595464715579123e-05 loss: 0.1001 (0.1034) loss_seg: 0.0986 (0.1025) loss_lansim: 0.0759 (0.0804) loss_contra: 0.0032 (0.0099) time: 3.0418 data: 0.0060 max mem: 31630 Epoch: [12] [1440/5278] eta: 3:13:15 lr: 3.595243611174055e-05 loss: 0.1011 (0.1034) loss_seg: 0.1003 (0.1025) loss_lansim: 0.0775 (0.0804) loss_contra: 0.0040 (0.0101) time: 3.0509 data: 0.0061 max mem: 31630 Epoch: [12] [1450/5278] eta: 3:12:48 lr: 3.5950225052581185e-05 loss: 0.1034 (0.1035) loss_seg: 0.1026 (0.1025) loss_lansim: 0.0784 (0.0805) loss_contra: 0.0041 (0.0102) time: 3.0679 data: 0.0061 max mem: 31630 Epoch: [12] [1460/5278] eta: 3:12:20 lr: 3.594801397831199e-05 loss: 0.1020 (0.1035) loss_seg: 0.1006 (0.1026) loss_lansim: 0.0794 (0.0805) loss_contra: 0.0042 (0.0102) time: 3.0759 data: 0.0061 max mem: 31630 Epoch: [12] [1470/5278] eta: 3:11:51 lr: 3.594580288893183e-05 loss: 0.1034 (0.1035) loss_seg: 0.1026 (0.1026) loss_lansim: 0.0797 (0.0805) loss_contra: 0.0031 (0.0101) time: 3.0817 data: 0.0062 max mem: 31630 Epoch: [12] [1480/5278] eta: 3:11:24 lr: 3.5943591784439565e-05 loss: 0.1012 (0.1035) loss_seg: 0.1003 (0.1026) loss_lansim: 0.0799 (0.0806) loss_contra: 0.0026 (0.0102) time: 3.0933 data: 0.0063 max mem: 31630 Epoch: [12] [1490/5278] eta: 3:10:54 lr: 3.5941380664834066e-05 loss: 0.0990 (0.1036) loss_seg: 0.0968 (0.1027) loss_lansim: 0.0808 (0.0806) loss_contra: 0.0021 (0.0105) time: 3.0995 data: 0.0063 max mem: 31630 Epoch: [12] [1500/5278] eta: 3:10:23 lr: 3.5939169530114186e-05 loss: 0.0960 (0.1036) loss_seg: 0.0951 (0.1026) loss_lansim: 0.0816 (0.0806) loss_contra: 0.0017 (0.0104) time: 3.0880 data: 0.0064 max mem: 31630 Epoch: [12] [1510/5278] eta: 3:09:53 lr: 3.5936958380278806e-05 loss: 0.0963 (0.1037) loss_seg: 0.0952 (0.1028) loss_lansim: 0.0824 (0.0807) loss_contra: 0.0015 (0.0104) time: 3.0824 data: 0.0063 max mem: 31630 Epoch: [12] [1520/5278] eta: 3:09:23 lr: 3.593474721532676e-05 loss: 0.0976 (0.1038) loss_seg: 0.0967 (0.1029) loss_lansim: 0.0832 (0.0807) loss_contra: 0.0015 (0.0103) time: 3.0777 data: 0.0063 max mem: 31630 Epoch: [12] [1530/5278] eta: 3:08:53 lr: 3.593253603525695e-05 loss: 0.0963 (0.1040) loss_seg: 0.0952 (0.1031) loss_lansim: 0.0830 (0.0807) loss_contra: 0.0015 (0.0104) time: 3.0671 data: 0.0063 max mem: 31630 Epoch: [12] [1540/5278] eta: 3:08:23 lr: 3.5930324840068205e-05 loss: 0.0976 (0.1039) loss_seg: 0.0960 (0.1030) loss_lansim: 0.0829 (0.0807) loss_contra: 0.0015 (0.0105) time: 3.0645 data: 0.0063 max mem: 31630 Epoch: [12] [1550/5278] eta: 3:07:53 lr: 3.592811362975941e-05 loss: 0.0966 (0.1040) loss_seg: 0.0958 (0.1031) loss_lansim: 0.0829 (0.0807) loss_contra: 0.0014 (0.0104) time: 3.0523 data: 0.0063 max mem: 31630 Epoch: [12] [1560/5278] eta: 3:07:23 lr: 3.5925902404329415e-05 loss: 0.0988 (0.1040) loss_seg: 0.0960 (0.1030) loss_lansim: 0.0823 (0.0807) loss_contra: 0.0013 (0.0104) time: 3.0459 data: 0.0063 max mem: 31630 Epoch: [12] [1570/5278] eta: 3:06:52 lr: 3.5923691163777085e-05 loss: 0.0960 (0.1039) loss_seg: 0.0951 (0.1030) loss_lansim: 0.0830 (0.0808) loss_contra: 0.0014 (0.0103) time: 3.0376 data: 0.0062 max mem: 31630 Epoch: [12] [1580/5278] eta: 3:06:21 lr: 3.5921479908101286e-05 loss: 0.0951 (0.1040) loss_seg: 0.0941 (0.1031) loss_lansim: 0.0834 (0.0808) loss_contra: 0.0014 (0.0104) time: 3.0244 data: 0.0062 max mem: 31630 Epoch: [12] [1590/5278] eta: 3:05:51 lr: 3.591926863730088e-05 loss: 0.0960 (0.1040) loss_seg: 0.0951 (0.1031) loss_lansim: 0.0835 (0.0808) loss_contra: 0.0014 (0.0104) time: 3.0232 data: 0.0061 max mem: 31630 Epoch: [12] [1600/5278] eta: 3:05:21 lr: 3.5917057351374716e-05 loss: 0.0994 (0.1040) loss_seg: 0.0986 (0.1031) loss_lansim: 0.0832 (0.0809) loss_contra: 0.0014 (0.0105) time: 3.0250 data: 0.0061 max mem: 31630 Epoch: [12] [1610/5278] eta: 3:04:50 lr: 3.5914846050321675e-05 loss: 0.0994 (0.1040) loss_seg: 0.0986 (0.1031) loss_lansim: 0.0832 (0.0809) loss_contra: 0.0014 (0.0105) time: 3.0186 data: 0.0061 max mem: 31630 Epoch: [12] [1620/5278] eta: 3:04:20 lr: 3.591263473414061e-05 loss: 0.0994 (0.1041) loss_seg: 0.0986 (0.1032) loss_lansim: 0.0834 (0.0809) loss_contra: 0.0014 (0.0106) time: 3.0210 data: 0.0061 max mem: 31630 Epoch: [12] [1630/5278] eta: 3:03:49 lr: 3.591042340283038e-05 loss: 0.1000 (0.1042) loss_seg: 0.0992 (0.1033) loss_lansim: 0.0837 (0.0809) loss_contra: 0.0014 (0.0107) time: 3.0207 data: 0.0061 max mem: 31630 Epoch: [12] [1640/5278] eta: 3:03:18 lr: 3.590821205638986e-05 loss: 0.0983 (0.1041) loss_seg: 0.0974 (0.1032) loss_lansim: 0.0842 (0.0810) loss_contra: 0.0012 (0.0107) time: 3.0121 data: 0.0061 max mem: 31630 Epoch: [12] [1650/5278] eta: 3:02:48 lr: 3.590600069481788e-05 loss: 0.0950 (0.1040) loss_seg: 0.0939 (0.1031) loss_lansim: 0.0837 (0.0810) loss_contra: 0.0015 (0.0107) time: 3.0143 data: 0.0060 max mem: 31630 Epoch: [12] [1660/5278] eta: 3:02:18 lr: 3.590378931811334e-05 loss: 0.0939 (0.1039) loss_seg: 0.0928 (0.1030) loss_lansim: 0.0836 (0.0810) loss_contra: 0.0014 (0.0107) time: 3.0120 data: 0.0061 max mem: 31630 Epoch: [12] [1670/5278] eta: 3:01:48 lr: 3.5901577926275074e-05 loss: 0.0925 (0.1038) loss_seg: 0.0917 (0.1029) loss_lansim: 0.0837 (0.0810) loss_contra: 0.0014 (0.0107) time: 3.0163 data: 0.0061 max mem: 31630 Epoch: [12] [1680/5278] eta: 3:01:18 lr: 3.5899366519301945e-05 loss: 0.0934 (0.1038) loss_seg: 0.0926 (0.1028) loss_lansim: 0.0836 (0.0810) loss_contra: 0.0014 (0.0107) time: 3.0175 data: 0.0061 max mem: 31630 Epoch: [12] [1690/5278] eta: 3:00:48 lr: 3.589715509719283e-05 loss: 0.0925 (0.1037) loss_seg: 0.0917 (0.1027) loss_lansim: 0.0837 (0.0810) loss_contra: 0.0014 (0.0107) time: 3.0180 data: 0.0061 max mem: 31630 Epoch: [12] [1700/5278] eta: 3:00:18 lr: 3.589494365994657e-05 loss: 0.0931 (0.1037) loss_seg: 0.0924 (0.1028) loss_lansim: 0.0837 (0.0811) loss_contra: 0.0014 (0.0107) time: 3.0202 data: 0.0061 max mem: 31630 Epoch: [12] [1710/5278] eta: 2:59:46 lr: 3.589273220756204e-05 loss: 0.0925 (0.1038) loss_seg: 0.0916 (0.1028) loss_lansim: 0.0837 (0.0811) loss_contra: 0.0018 (0.0111) time: 3.0191 data: 0.0061 max mem: 31630 Epoch: [12] [1720/5278] eta: 2:59:17 lr: 3.589052074003809e-05 loss: 0.0909 (0.1036) loss_seg: 0.0900 (0.1027) loss_lansim: 0.0836 (0.0811) loss_contra: 0.0018 (0.0112) time: 3.0179 data: 0.0061 max mem: 31630 Epoch: [12] [1730/5278] eta: 2:58:46 lr: 3.588830925737358e-05 loss: 0.0894 (0.1036) loss_seg: 0.0884 (0.1027) loss_lansim: 0.0843 (0.0812) loss_contra: 0.0016 (0.0112) time: 3.0202 data: 0.0061 max mem: 31630 Epoch: [12] [1740/5278] eta: 2:58:15 lr: 3.5886097759567384e-05 loss: 0.0894 (0.1036) loss_seg: 0.0884 (0.1027) loss_lansim: 0.0842 (0.0812) loss_contra: 0.0016 (0.0111) time: 3.0210 data: 0.0061 max mem: 31630 Epoch: [12] [1750/5278] eta: 2:57:45 lr: 3.5883886246618344e-05 loss: 0.0912 (0.1036) loss_seg: 0.0901 (0.1027) loss_lansim: 0.0837 (0.0812) loss_contra: 0.0015 (0.0111) time: 3.0184 data: 0.0061 max mem: 31630 Epoch: [12] [1760/5278] eta: 2:57:15 lr: 3.5881674718525325e-05 loss: 0.0925 (0.1037) loss_seg: 0.0916 (0.1028) loss_lansim: 0.0831 (0.0812) loss_contra: 0.0019 (0.0112) time: 3.0191 data: 0.0060 max mem: 31630 Epoch: [12] [1770/5278] eta: 2:56:44 lr: 3.587946317528719e-05 loss: 0.0926 (0.1036) loss_seg: 0.0916 (0.1027) loss_lansim: 0.0830 (0.0812) loss_contra: 0.0022 (0.0112) time: 3.0114 data: 0.0060 max mem: 31630 Epoch: [12] [1780/5278] eta: 2:56:13 lr: 3.58772516169028e-05 loss: 0.0947 (0.1036) loss_seg: 0.0938 (0.1027) loss_lansim: 0.0821 (0.0812) loss_contra: 0.0022 (0.0113) time: 3.0131 data: 0.0060 max mem: 31630 Epoch: [12] [1790/5278] eta: 2:55:45 lr: 3.5875040043371e-05 loss: 0.0964 (0.1036) loss_seg: 0.0954 (0.1026) loss_lansim: 0.0819 (0.0812) loss_contra: 0.0020 (0.0112) time: 3.0227 data: 0.0060 max mem: 31630 Epoch: [12] [1800/5278] eta: 2:55:16 lr: 3.5872828454690664e-05 loss: 0.0916 (0.1034) loss_seg: 0.0908 (0.1025) loss_lansim: 0.0818 (0.0812) loss_contra: 0.0018 (0.0112) time: 3.0281 data: 0.0061 max mem: 31630 Epoch: [12] [1810/5278] eta: 2:54:48 lr: 3.5870616850860634e-05 loss: 0.0916 (0.1035) loss_seg: 0.0908 (0.1026) loss_lansim: 0.0809 (0.0812) loss_contra: 0.0016 (0.0111) time: 3.0422 data: 0.0061 max mem: 31630 Epoch: [12] [1820/5278] eta: 2:54:20 lr: 3.586840523187979e-05 loss: 0.0947 (0.1035) loss_seg: 0.0938 (0.1026) loss_lansim: 0.0812 (0.0812) loss_contra: 0.0014 (0.0111) time: 3.0515 data: 0.0061 max mem: 31630 Epoch: [12] [1830/5278] eta: 2:53:51 lr: 3.5866193597746976e-05 loss: 0.0946 (0.1035) loss_seg: 0.0938 (0.1026) loss_lansim: 0.0804 (0.0812) loss_contra: 0.0018 (0.0112) time: 3.0618 data: 0.0062 max mem: 31630 Epoch: [12] [1840/5278] eta: 2:53:22 lr: 3.586398194846105e-05 loss: 0.0916 (0.1034) loss_seg: 0.0908 (0.1025) loss_lansim: 0.0801 (0.0812) loss_contra: 0.0018 (0.0111) time: 3.0705 data: 0.0062 max mem: 31630 Epoch: [12] [1850/5278] eta: 2:52:53 lr: 3.586177028402088e-05 loss: 0.0907 (0.1033) loss_seg: 0.0899 (0.1024) loss_lansim: 0.0807 (0.0812) loss_contra: 0.0016 (0.0111) time: 3.0768 data: 0.0062 max mem: 31630 Epoch: [12] [1860/5278] eta: 2:52:24 lr: 3.5859558604425306e-05 loss: 0.0904 (0.1033) loss_seg: 0.0895 (0.1024) loss_lansim: 0.0811 (0.0813) loss_contra: 0.0013 (0.0111) time: 3.0843 data: 0.0063 max mem: 31630 Epoch: [12] [1870/5278] eta: 2:51:55 lr: 3.585734690967321e-05 loss: 0.0904 (0.1034) loss_seg: 0.0895 (0.1024) loss_lansim: 0.0812 (0.0813) loss_contra: 0.0011 (0.0111) time: 3.1006 data: 0.0063 max mem: 31630 Epoch: [12] [1880/5278] eta: 2:51:24 lr: 3.585513519976342e-05 loss: 0.0907 (0.1034) loss_seg: 0.0899 (0.1025) loss_lansim: 0.0824 (0.0813) loss_contra: 0.0012 (0.0111) time: 3.0952 data: 0.0063 max mem: 31630 Epoch: [12] [1890/5278] eta: 2:50:54 lr: 3.585292347469482e-05 loss: 0.0911 (0.1035) loss_seg: 0.0902 (0.1025) loss_lansim: 0.0827 (0.0813) loss_contra: 0.0013 (0.0110) time: 3.0860 data: 0.0063 max mem: 31630 Epoch: [12] [1900/5278] eta: 2:50:24 lr: 3.5850711734466255e-05 loss: 0.0944 (0.1034) loss_seg: 0.0936 (0.1025) loss_lansim: 0.0827 (0.0813) loss_contra: 0.0013 (0.0110) time: 3.0827 data: 0.0062 max mem: 31630 Epoch: [12] [1910/5278] eta: 2:49:54 lr: 3.5848499979076586e-05 loss: 0.0925 (0.1034) loss_seg: 0.0916 (0.1024) loss_lansim: 0.0834 (0.0813) loss_contra: 0.0015 (0.0110) time: 3.0718 data: 0.0062 max mem: 31630 Epoch: [12] [1920/5278] eta: 2:49:23 lr: 3.5846288208524654e-05 loss: 0.0928 (0.1033) loss_seg: 0.0919 (0.1023) loss_lansim: 0.0835 (0.0814) loss_contra: 0.0014 (0.0110) time: 3.0586 data: 0.0062 max mem: 31630 Epoch: [12] [1930/5278] eta: 2:48:53 lr: 3.584407642280934e-05 loss: 0.0925 (0.1033) loss_seg: 0.0916 (0.1024) loss_lansim: 0.0834 (0.0814) loss_contra: 0.0014 (0.0109) time: 3.0487 data: 0.0062 max mem: 31630 Epoch: [12] [1940/5278] eta: 2:48:22 lr: 3.584186462192948e-05 loss: 0.0907 (0.1033) loss_seg: 0.0899 (0.1024) loss_lansim: 0.0840 (0.0814) loss_contra: 0.0013 (0.0109) time: 3.0443 data: 0.0062 max mem: 31630 Epoch: [12] [1950/5278] eta: 2:47:52 lr: 3.583965280588394e-05 loss: 0.0904 (0.1032) loss_seg: 0.0895 (0.1023) loss_lansim: 0.0835 (0.0814) loss_contra: 0.0013 (0.0109) time: 3.0356 data: 0.0062 max mem: 31630 Epoch: [12] [1960/5278] eta: 2:47:22 lr: 3.5837440974671576e-05 loss: 0.0931 (0.1033) loss_seg: 0.0921 (0.1023) loss_lansim: 0.0843 (0.0815) loss_contra: 0.0012 (0.0109) time: 3.0316 data: 0.0062 max mem: 31630 Epoch: [12] [1970/5278] eta: 2:46:50 lr: 3.583522912829124e-05 loss: 0.0931 (0.1033) loss_seg: 0.0921 (0.1024) loss_lansim: 0.0850 (0.0815) loss_contra: 0.0010 (0.0109) time: 3.0124 data: 0.0062 max mem: 31630 Epoch: [12] [1980/5278] eta: 2:46:19 lr: 3.58330172667418e-05 loss: 0.0915 (0.1032) loss_seg: 0.0907 (0.1023) loss_lansim: 0.0845 (0.0815) loss_contra: 0.0010 (0.0109) time: 3.0099 data: 0.0062 max mem: 31630 Epoch: [12] [1990/5278] eta: 2:45:48 lr: 3.583080539002209e-05 loss: 0.0898 (0.1032) loss_seg: 0.0890 (0.1023) loss_lansim: 0.0841 (0.0815) loss_contra: 0.0008 (0.0109) time: 3.0047 data: 0.0061 max mem: 31630 Epoch: [12] [2000/5278] eta: 2:45:16 lr: 3.582859349813099e-05 loss: 0.0896 (0.1032) loss_seg: 0.0887 (0.1022) loss_lansim: 0.0841 (0.0815) loss_contra: 0.0008 (0.0108) time: 2.9951 data: 0.0062 max mem: 31630 Epoch: [12] [2010/5278] eta: 2:44:45 lr: 3.582638159106734e-05 loss: 0.0898 (0.1032) loss_seg: 0.0890 (0.1023) loss_lansim: 0.0839 (0.0815) loss_contra: 0.0007 (0.0108) time: 2.9910 data: 0.0062 max mem: 31630 Epoch: [12] [2020/5278] eta: 2:44:15 lr: 3.5824169668829985e-05 loss: 0.0904 (0.1032) loss_seg: 0.0895 (0.1023) loss_lansim: 0.0837 (0.0815) loss_contra: 0.0008 (0.0108) time: 2.9914 data: 0.0062 max mem: 31630 Epoch: [12] [2030/5278] eta: 2:43:44 lr: 3.582195773141781e-05 loss: 0.0906 (0.1033) loss_seg: 0.0898 (0.1023) loss_lansim: 0.0846 (0.0816) loss_contra: 0.0008 (0.0107) time: 2.9889 data: 0.0061 max mem: 31630 Epoch: [12] [2040/5278] eta: 2:43:13 lr: 3.581974577882963e-05 loss: 0.0898 (0.1032) loss_seg: 0.0890 (0.1022) loss_lansim: 0.0836 (0.0816) loss_contra: 0.0008 (0.0107) time: 2.9819 data: 0.0061 max mem: 31630 Epoch: [12] [2050/5278] eta: 2:42:42 lr: 3.581753381106434e-05 loss: 0.0898 (0.1031) loss_seg: 0.0890 (0.1021) loss_lansim: 0.0835 (0.0816) loss_contra: 0.0008 (0.0108) time: 2.9799 data: 0.0061 max mem: 31630 Epoch: [12] [2060/5278] eta: 2:42:11 lr: 3.5815321828120775e-05 loss: 0.0898 (0.1033) loss_seg: 0.0890 (0.1023) loss_lansim: 0.0828 (0.0816) loss_contra: 0.0007 (0.0108) time: 2.9724 data: 0.0061 max mem: 31630 Epoch: [12] [2070/5278] eta: 2:41:40 lr: 3.581310982999779e-05 loss: 0.0887 (0.1033) loss_seg: 0.0879 (0.1024) loss_lansim: 0.0824 (0.0816) loss_contra: 0.0010 (0.0108) time: 2.9770 data: 0.0061 max mem: 31630 Epoch: [12] [2080/5278] eta: 2:41:09 lr: 3.581089781669423e-05 loss: 0.0899 (0.1033) loss_seg: 0.0892 (0.1024) loss_lansim: 0.0820 (0.0816) loss_contra: 0.0010 (0.0108) time: 2.9798 data: 0.0061 max mem: 31630 Epoch: [12] [2090/5278] eta: 2:40:39 lr: 3.580868578820897e-05 loss: 0.0899 (0.1033) loss_seg: 0.0892 (0.1024) loss_lansim: 0.0820 (0.0816) loss_contra: 0.0013 (0.0108) time: 2.9879 data: 0.0061 max mem: 31630 Epoch: [12] [2100/5278] eta: 2:40:08 lr: 3.580647374454084e-05 loss: 0.0899 (0.1032) loss_seg: 0.0892 (0.1023) loss_lansim: 0.0824 (0.0816) loss_contra: 0.0014 (0.0108) time: 2.9899 data: 0.0060 max mem: 31630 Epoch: [12] [2110/5278] eta: 2:39:39 lr: 3.5804261685688714e-05 loss: 0.0886 (0.1032) loss_seg: 0.0877 (0.1023) loss_lansim: 0.0830 (0.0817) loss_contra: 0.0014 (0.0107) time: 2.9987 data: 0.0060 max mem: 31630 Epoch: [12] [2120/5278] eta: 2:39:08 lr: 3.580204961165144e-05 loss: 0.0903 (0.1033) loss_seg: 0.0895 (0.1024) loss_lansim: 0.0828 (0.0817) loss_contra: 0.0013 (0.0107) time: 2.9986 data: 0.0060 max mem: 31630 Epoch: [12] [2130/5278] eta: 2:38:38 lr: 3.579983752242786e-05 loss: 0.0899 (0.1033) loss_seg: 0.0892 (0.1024) loss_lansim: 0.0830 (0.0817) loss_contra: 0.0013 (0.0107) time: 2.9991 data: 0.0060 max mem: 31630 Epoch: [12] [2140/5278] eta: 2:38:08 lr: 3.579762541801685e-05 loss: 0.0903 (0.1032) loss_seg: 0.0895 (0.1023) loss_lansim: 0.0837 (0.0817) loss_contra: 0.0015 (0.0107) time: 3.0074 data: 0.0059 max mem: 31630 Epoch: [12] [2150/5278] eta: 2:37:37 lr: 3.579541329841724e-05 loss: 0.0909 (0.1032) loss_seg: 0.0898 (0.1022) loss_lansim: 0.0843 (0.0818) loss_contra: 0.0014 (0.0107) time: 3.0062 data: 0.0060 max mem: 31630 Epoch: [12] [2160/5278] eta: 2:37:05 lr: 3.5793201163627884e-05 loss: 0.0903 (0.1032) loss_seg: 0.0895 (0.1022) loss_lansim: 0.0842 (0.0818) loss_contra: 0.0015 (0.0107) time: 2.9996 data: 0.0060 max mem: 31630 Epoch: [12] [2170/5278] eta: 2:36:34 lr: 3.579098901364765e-05 loss: 0.0890 (0.1032) loss_seg: 0.0882 (0.1023) loss_lansim: 0.0845 (0.0818) loss_contra: 0.0015 (0.0106) time: 2.9958 data: 0.0060 max mem: 31630 Epoch: [12] [2180/5278] eta: 2:36:03 lr: 3.578877684847538e-05 loss: 0.0887 (0.1032) loss_seg: 0.0878 (0.1023) loss_lansim: 0.0862 (0.0818) loss_contra: 0.0013 (0.0106) time: 2.9946 data: 0.0060 max mem: 31630 Epoch: [12] [2190/5278] eta: 2:35:31 lr: 3.578656466810994e-05 loss: 0.0890 (0.1032) loss_seg: 0.0882 (0.1022) loss_lansim: 0.0855 (0.0819) loss_contra: 0.0012 (0.0106) time: 2.9823 data: 0.0060 max mem: 31630 Epoch: [12] [2200/5278] eta: 2:35:01 lr: 3.578435247255016e-05 loss: 0.0919 (0.1033) loss_seg: 0.0911 (0.1023) loss_lansim: 0.0863 (0.0819) loss_contra: 0.0011 (0.0106) time: 2.9893 data: 0.0061 max mem: 31630 Epoch: [12] [2210/5278] eta: 2:34:31 lr: 3.57821402617949e-05 loss: 0.0940 (0.1034) loss_seg: 0.0932 (0.1025) loss_lansim: 0.0873 (0.0820) loss_contra: 0.0011 (0.0106) time: 2.9876 data: 0.0062 max mem: 31630 Epoch: [12] [2220/5278] eta: 2:34:01 lr: 3.577992803584302e-05 loss: 0.0913 (0.1033) loss_seg: 0.0905 (0.1024) loss_lansim: 0.0879 (0.0820) loss_contra: 0.0011 (0.0106) time: 2.9920 data: 0.0063 max mem: 31630 Epoch: [12] [2230/5278] eta: 2:33:31 lr: 3.577771579469336e-05 loss: 0.0950 (0.1034) loss_seg: 0.0941 (0.1025) loss_lansim: 0.0890 (0.0820) loss_contra: 0.0012 (0.0105) time: 2.9931 data: 0.0063 max mem: 31630 Epoch: [12] [2240/5278] eta: 2:33:01 lr: 3.577550353834479e-05 loss: 0.0962 (0.1034) loss_seg: 0.0954 (0.1025) loss_lansim: 0.0896 (0.0821) loss_contra: 0.0011 (0.0105) time: 2.9943 data: 0.0064 max mem: 31630 Epoch: [12] [2250/5278] eta: 2:32:31 lr: 3.577329126679614e-05 loss: 0.0972 (0.1034) loss_seg: 0.0959 (0.1025) loss_lansim: 0.0897 (0.0821) loss_contra: 0.0011 (0.0105) time: 3.0008 data: 0.0064 max mem: 31630 Epoch: [12] [2260/5278] eta: 2:32:01 lr: 3.577107898004627e-05 loss: 0.0972 (0.1033) loss_seg: 0.0959 (0.1024) loss_lansim: 0.0906 (0.0822) loss_contra: 0.0010 (0.0105) time: 3.0125 data: 0.0065 max mem: 31630 Epoch: [12] [2270/5278] eta: 2:31:31 lr: 3.576886667809404e-05 loss: 0.0950 (0.1033) loss_seg: 0.0941 (0.1023) loss_lansim: 0.0900 (0.0822) loss_contra: 0.0010 (0.0104) time: 3.0233 data: 0.0065 max mem: 31630 Epoch: [12] [2280/5278] eta: 2:31:01 lr: 3.576665436093828e-05 loss: 0.0934 (0.1031) loss_seg: 0.0926 (0.1022) loss_lansim: 0.0901 (0.0823) loss_contra: 0.0010 (0.0105) time: 3.0305 data: 0.0066 max mem: 31630 Epoch: [12] [2290/5278] eta: 2:30:31 lr: 3.5764442028577856e-05 loss: 0.0948 (0.1032) loss_seg: 0.0939 (0.1022) loss_lansim: 0.0908 (0.0823) loss_contra: 0.0011 (0.0104) time: 3.0357 data: 0.0066 max mem: 31630 Epoch: [12] [2300/5278] eta: 2:30:01 lr: 3.576222968101162e-05 loss: 0.0934 (0.1031) loss_seg: 0.0926 (0.1022) loss_lansim: 0.0901 (0.0824) loss_contra: 0.0010 (0.0104) time: 3.0341 data: 0.0066 max mem: 31630 Epoch: [12] [2310/5278] eta: 2:29:30 lr: 3.5760017318238406e-05 loss: 0.0915 (0.1032) loss_seg: 0.0908 (0.1022) loss_lansim: 0.0896 (0.0824) loss_contra: 0.0010 (0.0104) time: 3.0296 data: 0.0065 max mem: 31630 Epoch: [12] [2320/5278] eta: 2:29:00 lr: 3.5757804940257084e-05 loss: 0.0915 (0.1031) loss_seg: 0.0908 (0.1022) loss_lansim: 0.0893 (0.0824) loss_contra: 0.0010 (0.0103) time: 3.0271 data: 0.0065 max mem: 31630 Epoch: [12] [2330/5278] eta: 2:28:30 lr: 3.5755592547066493e-05 loss: 0.0884 (0.1031) loss_seg: 0.0875 (0.1022) loss_lansim: 0.0893 (0.0825) loss_contra: 0.0009 (0.0104) time: 3.0257 data: 0.0065 max mem: 31630 Epoch: [12] [2340/5278] eta: 2:27:59 lr: 3.575338013866548e-05 loss: 0.0894 (0.1031) loss_seg: 0.0885 (0.1022) loss_lansim: 0.0897 (0.0825) loss_contra: 0.0008 (0.0104) time: 3.0244 data: 0.0064 max mem: 31630 Epoch: [12] [2350/5278] eta: 2:27:29 lr: 3.575116771505291e-05 loss: 0.0884 (0.1031) loss_seg: 0.0875 (0.1022) loss_lansim: 0.0904 (0.0826) loss_contra: 0.0008 (0.0104) time: 3.0241 data: 0.0063 max mem: 31630 Epoch: [12] [2360/5278] eta: 2:26:59 lr: 3.5748955276227605e-05 loss: 0.0882 (0.1030) loss_seg: 0.0871 (0.1020) loss_lansim: 0.0904 (0.0826) loss_contra: 0.0008 (0.0104) time: 3.0195 data: 0.0062 max mem: 31630 Epoch: [12] [2370/5278] eta: 2:26:28 lr: 3.574674282218845e-05 loss: 0.0849 (0.1029) loss_seg: 0.0840 (0.1020) loss_lansim: 0.0913 (0.0827) loss_contra: 0.0009 (0.0104) time: 3.0166 data: 0.0062 max mem: 31630 Epoch: [12] [2380/5278] eta: 2:25:58 lr: 3.574453035293426e-05 loss: 0.0877 (0.1029) loss_seg: 0.0867 (0.1019) loss_lansim: 0.0913 (0.0827) loss_contra: 0.0008 (0.0104) time: 3.0149 data: 0.0061 max mem: 31630 Epoch: [12] [2390/5278] eta: 2:25:28 lr: 3.574231786846391e-05 loss: 0.0848 (0.1028) loss_seg: 0.0839 (0.1019) loss_lansim: 0.0920 (0.0828) loss_contra: 0.0007 (0.0104) time: 3.0179 data: 0.0060 max mem: 31630 Epoch: [12] [2400/5278] eta: 2:24:58 lr: 3.574010536877624e-05 loss: 0.0831 (0.1028) loss_seg: 0.0822 (0.1018) loss_lansim: 0.0917 (0.0828) loss_contra: 0.0008 (0.0104) time: 3.0189 data: 0.0059 max mem: 31630 Epoch: [12] [2410/5278] eta: 2:24:27 lr: 3.573789285387009e-05 loss: 0.0820 (0.1027) loss_seg: 0.0811 (0.1018) loss_lansim: 0.0931 (0.0829) loss_contra: 0.0007 (0.0105) time: 3.0179 data: 0.0059 max mem: 31630 Epoch: [12] [2420/5278] eta: 2:23:57 lr: 3.5735680323744316e-05 loss: 0.0826 (0.1027) loss_seg: 0.0815 (0.1018) loss_lansim: 0.0935 (0.0829) loss_contra: 0.0007 (0.0106) time: 3.0208 data: 0.0058 max mem: 31630 Epoch: [12] [2430/5278] eta: 2:23:26 lr: 3.5733467778397775e-05 loss: 0.0841 (0.1027) loss_seg: 0.0832 (0.1018) loss_lansim: 0.0932 (0.0829) loss_contra: 0.0008 (0.0106) time: 3.0124 data: 0.0057 max mem: 31630 Epoch: [12] [2440/5278] eta: 2:22:55 lr: 3.5731255217829286e-05 loss: 0.0822 (0.1027) loss_seg: 0.0813 (0.1017) loss_lansim: 0.0917 (0.0830) loss_contra: 0.0008 (0.0106) time: 3.0065 data: 0.0057 max mem: 31630 Epoch: [12] [2450/5278] eta: 2:22:25 lr: 3.572904264203774e-05 loss: 0.0822 (0.1026) loss_seg: 0.0813 (0.1016) loss_lansim: 0.0887 (0.0829) loss_contra: 0.0007 (0.0105) time: 3.0063 data: 0.0057 max mem: 31630 Epoch: [12] [2460/5278] eta: 2:21:55 lr: 3.5726830051021945e-05 loss: 0.0875 (0.1027) loss_seg: 0.0867 (0.1017) loss_lansim: 0.0882 (0.0830) loss_contra: 0.0007 (0.0105) time: 3.0114 data: 0.0057 max mem: 31630 Epoch: [12] [2470/5278] eta: 2:21:25 lr: 3.572461744478076e-05 loss: 0.0893 (0.1026) loss_seg: 0.0887 (0.1017) loss_lansim: 0.0876 (0.0830) loss_contra: 0.0007 (0.0105) time: 3.0083 data: 0.0057 max mem: 31630 Epoch: [12] [2480/5278] eta: 2:20:54 lr: 3.5722404823313056e-05 loss: 0.0918 (0.1028) loss_seg: 0.0910 (0.1018) loss_lansim: 0.0877 (0.0830) loss_contra: 0.0006 (0.0105) time: 3.0084 data: 0.0057 max mem: 31630 Epoch: [12] [2490/5278] eta: 2:20:24 lr: 3.572019218661765e-05 loss: 0.0921 (0.1027) loss_seg: 0.0913 (0.1018) loss_lansim: 0.0881 (0.0831) loss_contra: 0.0007 (0.0105) time: 3.0068 data: 0.0057 max mem: 31630 Epoch: [12] [2500/5278] eta: 2:19:54 lr: 3.5717979534693405e-05 loss: 0.0927 (0.1027) loss_seg: 0.0916 (0.1018) loss_lansim: 0.0901 (0.0832) loss_contra: 0.0006 (0.0105) time: 3.0075 data: 0.0057 max mem: 31630 Epoch: [12] [2510/5278] eta: 2:19:23 lr: 3.571576686753916e-05 loss: 0.0927 (0.1027) loss_seg: 0.0916 (0.1018) loss_lansim: 0.0907 (0.0832) loss_contra: 0.0007 (0.0107) time: 3.0052 data: 0.0057 max mem: 31630 Epoch: [12] [2520/5278] eta: 2:18:53 lr: 3.571355418515376e-05 loss: 0.0922 (0.1027) loss_seg: 0.0913 (0.1018) loss_lansim: 0.0907 (0.0833) loss_contra: 0.0008 (0.0107) time: 3.0036 data: 0.0057 max mem: 31630 Epoch: [12] [2530/5278] eta: 2:18:23 lr: 3.571134148753607e-05 loss: 0.0945 (0.1028) loss_seg: 0.0936 (0.1019) loss_lansim: 0.0931 (0.0834) loss_contra: 0.0010 (0.0107) time: 3.0168 data: 0.0057 max mem: 31630 Epoch: [12] [2540/5278] eta: 2:17:54 lr: 3.570912877468492e-05 loss: 0.0954 (0.1028) loss_seg: 0.0942 (0.1018) loss_lansim: 0.0965 (0.0835) loss_contra: 0.0014 (0.0107) time: 3.0259 data: 0.0056 max mem: 31630 Epoch: [12] [2550/5278] eta: 2:17:24 lr: 3.570691604659915e-05 loss: 0.0959 (0.1028) loss_seg: 0.0949 (0.1018) loss_lansim: 0.0981 (0.0836) loss_contra: 0.0014 (0.0107) time: 3.0290 data: 0.0056 max mem: 31630 Epoch: [12] [2560/5278] eta: 2:16:55 lr: 3.570470330327763e-05 loss: 0.0959 (0.1028) loss_seg: 0.0949 (0.1019) loss_lansim: 0.1015 (0.0837) loss_contra: 0.0014 (0.0107) time: 3.0365 data: 0.0056 max mem: 31630 Epoch: [12] [2570/5278] eta: 2:16:25 lr: 3.570249054471919e-05 loss: 0.0960 (0.1028) loss_seg: 0.0949 (0.1018) loss_lansim: 0.1045 (0.0839) loss_contra: 0.0014 (0.0106) time: 3.0500 data: 0.0057 max mem: 31630 Epoch: [12] [2580/5278] eta: 2:15:57 lr: 3.570027777092267e-05 loss: 0.0952 (0.1028) loss_seg: 0.0939 (0.1019) loss_lansim: 0.1047 (0.0840) loss_contra: 0.0016 (0.0106) time: 3.0643 data: 0.0057 max mem: 31630 Epoch: [12] [2590/5278] eta: 2:15:28 lr: 3.5698064981886926e-05 loss: 0.0959 (0.1028) loss_seg: 0.0949 (0.1018) loss_lansim: 0.1073 (0.0841) loss_contra: 0.0016 (0.0106) time: 3.0838 data: 0.0057 max mem: 31630 Epoch: [12] [2600/5278] eta: 2:14:59 lr: 3.56958521776108e-05 loss: 0.0960 (0.1028) loss_seg: 0.0949 (0.1018) loss_lansim: 0.1089 (0.0842) loss_contra: 0.0014 (0.0106) time: 3.0936 data: 0.0058 max mem: 31630 Epoch: [12] [2610/5278] eta: 2:14:30 lr: 3.5693639358093146e-05 loss: 0.0975 (0.1028) loss_seg: 0.0962 (0.1018) loss_lansim: 0.1103 (0.0843) loss_contra: 0.0015 (0.0106) time: 3.1096 data: 0.0058 max mem: 31630 Epoch: [12] [2620/5278] eta: 2:14:01 lr: 3.5691426523332794e-05 loss: 0.0969 (0.1028) loss_seg: 0.0958 (0.1018) loss_lansim: 0.1127 (0.0845) loss_contra: 0.0014 (0.0107) time: 3.1191 data: 0.0059 max mem: 31630 Epoch: [12] [2630/5278] eta: 2:13:31 lr: 3.56892136733286e-05 loss: 0.0952 (0.1028) loss_seg: 0.0939 (0.1018) loss_lansim: 0.1127 (0.0845) loss_contra: 0.0010 (0.0107) time: 3.1159 data: 0.0059 max mem: 31630 Epoch: [12] [2640/5278] eta: 2:13:00 lr: 3.56870008080794e-05 loss: 0.0960 (0.1028) loss_seg: 0.0949 (0.1019) loss_lansim: 0.1127 (0.0846) loss_contra: 0.0008 (0.0107) time: 3.1101 data: 0.0059 max mem: 31630 Epoch: [12] [2650/5278] eta: 2:12:30 lr: 3.568478792758404e-05 loss: 0.0968 (0.1029) loss_seg: 0.0958 (0.1019) loss_lansim: 0.1127 (0.0847) loss_contra: 0.0010 (0.0107) time: 3.1043 data: 0.0060 max mem: 31630 Epoch: [12] [2660/5278] eta: 2:11:59 lr: 3.568257503184138e-05 loss: 0.0950 (0.1029) loss_seg: 0.0934 (0.1019) loss_lansim: 0.1104 (0.0848) loss_contra: 0.0011 (0.0107) time: 3.0943 data: 0.0059 max mem: 31630 Epoch: [12] [2670/5278] eta: 2:11:29 lr: 3.5680362120850244e-05 loss: 0.0968 (0.1028) loss_seg: 0.0958 (0.1019) loss_lansim: 0.1088 (0.0848) loss_contra: 0.0012 (0.0106) time: 3.0834 data: 0.0059 max mem: 31630 Epoch: [12] [2680/5278] eta: 2:10:59 lr: 3.5678149194609486e-05 loss: 0.0939 (0.1028) loss_seg: 0.0929 (0.1019) loss_lansim: 0.1086 (0.0849) loss_contra: 0.0013 (0.0106) time: 3.0691 data: 0.0059 max mem: 31630 Epoch: [12] [2690/5278] eta: 2:10:29 lr: 3.567593625311796e-05 loss: 0.0917 (0.1028) loss_seg: 0.0908 (0.1018) loss_lansim: 0.1048 (0.0849) loss_contra: 0.0014 (0.0106) time: 3.0523 data: 0.0058 max mem: 31630 Epoch: [12] [2700/5278] eta: 2:09:59 lr: 3.5673723296374484e-05 loss: 0.0877 (0.1027) loss_seg: 0.0867 (0.1017) loss_lansim: 0.1017 (0.0849) loss_contra: 0.0016 (0.0106) time: 3.0429 data: 0.0060 max mem: 31630 Epoch: [12] [2710/5278] eta: 2:09:29 lr: 3.5671510324377914e-05 loss: 0.0877 (0.1027) loss_seg: 0.0867 (0.1017) loss_lansim: 0.0992 (0.0849) loss_contra: 0.0016 (0.0106) time: 3.0356 data: 0.0060 max mem: 31630 Epoch: [12] [2720/5278] eta: 2:08:58 lr: 3.566929733712711e-05 loss: 0.0877 (0.1027) loss_seg: 0.0867 (0.1017) loss_lansim: 0.0964 (0.0850) loss_contra: 0.0024 (0.0106) time: 3.0252 data: 0.0059 max mem: 31630 Epoch: [12] [2730/5278] eta: 2:08:28 lr: 3.566708433462088e-05 loss: 0.0876 (0.1026) loss_seg: 0.0867 (0.1017) loss_lansim: 0.0957 (0.0850) loss_contra: 0.0024 (0.0106) time: 3.0275 data: 0.0059 max mem: 31630 Epoch: [12] [2740/5278] eta: 2:07:58 lr: 3.5664871316858104e-05 loss: 0.0876 (0.1027) loss_seg: 0.0867 (0.1018) loss_lansim: 0.0938 (0.0850) loss_contra: 0.0024 (0.0107) time: 3.0277 data: 0.0059 max mem: 31630 Epoch: [12] [2750/5278] eta: 2:07:27 lr: 3.566265828383761e-05 loss: 0.0877 (0.1028) loss_seg: 0.0868 (0.1019) loss_lansim: 0.0929 (0.0850) loss_contra: 0.0018 (0.0107) time: 3.0275 data: 0.0059 max mem: 31630 Epoch: [12] [2760/5278] eta: 2:06:57 lr: 3.566044523555823e-05 loss: 0.0876 (0.1028) loss_seg: 0.0867 (0.1018) loss_lansim: 0.0927 (0.0851) loss_contra: 0.0018 (0.0107) time: 3.0299 data: 0.0059 max mem: 31630 Epoch: [12] [2770/5278] eta: 2:06:27 lr: 3.5658232172018816e-05 loss: 0.0892 (0.1028) loss_seg: 0.0880 (0.1019) loss_lansim: 0.0926 (0.0851) loss_contra: 0.0018 (0.0107) time: 3.0324 data: 0.0059 max mem: 31630 Epoch: [12] [2780/5278] eta: 2:05:57 lr: 3.5656019093218216e-05 loss: 0.0924 (0.1028) loss_seg: 0.0914 (0.1019) loss_lansim: 0.0926 (0.0852) loss_contra: 0.0018 (0.0107) time: 3.0311 data: 0.0059 max mem: 31630 Epoch: [12] [2790/5278] eta: 2:05:27 lr: 3.565380599915527e-05 loss: 0.0995 (0.1029) loss_seg: 0.0986 (0.1019) loss_lansim: 0.0929 (0.0852) loss_contra: 0.0018 (0.0107) time: 3.0330 data: 0.0060 max mem: 31630 Epoch: [12] [2800/5278] eta: 2:04:57 lr: 3.565159288982881e-05 loss: 0.1024 (0.1029) loss_seg: 0.1012 (0.1019) loss_lansim: 0.0929 (0.0852) loss_contra: 0.0018 (0.0106) time: 3.0321 data: 0.0058 max mem: 31630 Epoch: [12] [2810/5278] eta: 2:04:26 lr: 3.564937976523768e-05 loss: 0.1024 (0.1029) loss_seg: 0.1012 (0.1020) loss_lansim: 0.0926 (0.0853) loss_contra: 0.0018 (0.0106) time: 3.0302 data: 0.0058 max mem: 31630 Epoch: [12] [2820/5278] eta: 2:03:56 lr: 3.5647166625380736e-05 loss: 0.1016 (0.1029) loss_seg: 0.1006 (0.1020) loss_lansim: 0.0936 (0.0853) loss_contra: 0.0017 (0.0106) time: 3.0321 data: 0.0058 max mem: 31630 Epoch: [12] [2830/5278] eta: 2:03:26 lr: 3.56449534702568e-05 loss: 0.1017 (0.1029) loss_seg: 0.1009 (0.1020) loss_lansim: 0.0936 (0.0853) loss_contra: 0.0016 (0.0105) time: 3.0337 data: 0.0058 max mem: 31630 Epoch: [12] [2840/5278] eta: 2:02:56 lr: 3.564274029986473e-05 loss: 0.0986 (0.1029) loss_seg: 0.0977 (0.1019) loss_lansim: 0.0938 (0.0854) loss_contra: 0.0017 (0.0105) time: 3.0388 data: 0.0058 max mem: 31630 Epoch: [12] [2850/5278] eta: 2:02:26 lr: 3.564052711420337e-05 loss: 0.0937 (0.1029) loss_seg: 0.0927 (0.1019) loss_lansim: 0.0932 (0.0854) loss_contra: 0.0017 (0.0105) time: 3.0404 data: 0.0058 max mem: 31630 Epoch: [12] [2860/5278] eta: 2:01:57 lr: 3.5638313913271536e-05 loss: 0.0928 (0.1028) loss_seg: 0.0919 (0.1018) loss_lansim: 0.0929 (0.0854) loss_contra: 0.0016 (0.0105) time: 3.0530 data: 0.0058 max mem: 31630 Epoch: [12] [2870/5278] eta: 2:01:28 lr: 3.56361006970681e-05 loss: 0.0921 (0.1027) loss_seg: 0.0911 (0.1017) loss_lansim: 0.0929 (0.0854) loss_contra: 0.0016 (0.0107) time: 3.0636 data: 0.0059 max mem: 31630 Epoch: [12] [2880/5278] eta: 2:00:59 lr: 3.5633887465591875e-05 loss: 0.0908 (0.1027) loss_seg: 0.0896 (0.1017) loss_lansim: 0.0923 (0.0855) loss_contra: 0.0017 (0.0107) time: 3.0816 data: 0.0060 max mem: 31630 Epoch: [12] [2890/5278] eta: 2:00:30 lr: 3.563167421884172e-05 loss: 0.0890 (0.1027) loss_seg: 0.0881 (0.1018) loss_lansim: 0.0923 (0.0855) loss_contra: 0.0018 (0.0109) time: 3.0909 data: 0.0060 max mem: 31630 Epoch: [12] [2900/5278] eta: 2:00:00 lr: 3.5629460956816466e-05 loss: 0.0884 (0.1027) loss_seg: 0.0875 (0.1018) loss_lansim: 0.0932 (0.0856) loss_contra: 0.0018 (0.0109) time: 3.1020 data: 0.0061 max mem: 31630 Epoch: [12] [2910/5278] eta: 1:59:32 lr: 3.562724767951496e-05 loss: 0.0869 (0.1027) loss_seg: 0.0860 (0.1018) loss_lansim: 0.0956 (0.0856) loss_contra: 0.0022 (0.0108) time: 3.1208 data: 0.0062 max mem: 31630 Epoch: [12] [2920/5278] eta: 1:59:02 lr: 3.562503438693604e-05 loss: 0.0831 (0.1026) loss_seg: 0.0820 (0.1017) loss_lansim: 0.0956 (0.0857) loss_contra: 0.0023 (0.0108) time: 3.1316 data: 0.0063 max mem: 31630 Epoch: [12] [2930/5278] eta: 1:58:33 lr: 3.562282107907855e-05 loss: 0.0835 (0.1026) loss_seg: 0.0822 (0.1016) loss_lansim: 0.0963 (0.0857) loss_contra: 0.0024 (0.0109) time: 3.1335 data: 0.0063 max mem: 31630 Epoch: [12] [2940/5278] eta: 1:58:03 lr: 3.5620607755941305e-05 loss: 0.0820 (0.1026) loss_seg: 0.0807 (0.1016) loss_lansim: 0.0955 (0.0858) loss_contra: 0.0024 (0.0109) time: 3.1364 data: 0.0064 max mem: 31630 Epoch: [12] [2950/5278] eta: 1:57:33 lr: 3.561839441752318e-05 loss: 0.0864 (0.1026) loss_seg: 0.0851 (0.1016) loss_lansim: 0.0955 (0.0858) loss_contra: 0.0030 (0.0108) time: 3.1411 data: 0.0065 max mem: 31630 Epoch: [12] [2960/5278] eta: 1:57:03 lr: 3.5616181063823e-05 loss: 0.0880 (0.1026) loss_seg: 0.0871 (0.1016) loss_lansim: 0.0955 (0.0858) loss_contra: 0.0030 (0.0108) time: 3.1303 data: 0.0066 max mem: 31630 Epoch: [12] [2970/5278] eta: 1:56:32 lr: 3.56139676948396e-05 loss: 0.0885 (0.1026) loss_seg: 0.0875 (0.1016) loss_lansim: 0.0955 (0.0858) loss_contra: 0.0027 (0.0108) time: 3.1188 data: 0.0065 max mem: 31630 Epoch: [12] [2980/5278] eta: 1:56:02 lr: 3.5611754310571824e-05 loss: 0.0884 (0.1025) loss_seg: 0.0874 (0.1016) loss_lansim: 0.0969 (0.0859) loss_contra: 0.0023 (0.0108) time: 3.1072 data: 0.0064 max mem: 31630 Epoch: [12] [2990/5278] eta: 1:55:32 lr: 3.56095409110185e-05 loss: 0.0880 (0.1025) loss_seg: 0.0871 (0.1015) loss_lansim: 0.0963 (0.0859) loss_contra: 0.0014 (0.0108) time: 3.1012 data: 0.0064 max mem: 31630 Epoch: [12] [3000/5278] eta: 1:55:02 lr: 3.5607327496178484e-05 loss: 0.0884 (0.1025) loss_seg: 0.0874 (0.1015) loss_lansim: 0.0979 (0.0860) loss_contra: 0.0018 (0.0108) time: 3.0888 data: 0.0063 max mem: 31630 Epoch: [12] [3010/5278] eta: 1:54:32 lr: 3.560511406605061e-05 loss: 0.0879 (0.1024) loss_seg: 0.0869 (0.1014) loss_lansim: 0.0980 (0.0860) loss_contra: 0.0016 (0.0108) time: 3.0715 data: 0.0062 max mem: 31630 Epoch: [12] [3020/5278] eta: 1:54:02 lr: 3.5602900620633696e-05 loss: 0.0901 (0.1024) loss_seg: 0.0890 (0.1015) loss_lansim: 0.0982 (0.0861) loss_contra: 0.0016 (0.0108) time: 3.0600 data: 0.0062 max mem: 31630 Epoch: [12] [3030/5278] eta: 1:53:32 lr: 3.560068715992661e-05 loss: 0.0914 (0.1024) loss_seg: 0.0903 (0.1015) loss_lansim: 0.0980 (0.0862) loss_contra: 0.0016 (0.0108) time: 3.0593 data: 0.0062 max mem: 31630 Epoch: [12] [3040/5278] eta: 1:53:01 lr: 3.5598473683928175e-05 loss: 0.0914 (0.1024) loss_seg: 0.0903 (0.1014) loss_lansim: 0.0998 (0.0862) loss_contra: 0.0016 (0.0108) time: 3.0505 data: 0.0061 max mem: 31630 Epoch: [12] [3050/5278] eta: 1:52:31 lr: 3.559626019263723e-05 loss: 0.0901 (0.1024) loss_seg: 0.0890 (0.1014) loss_lansim: 0.1008 (0.0863) loss_contra: 0.0016 (0.0108) time: 3.0495 data: 0.0060 max mem: 31630 Epoch: [12] [3060/5278] eta: 1:52:01 lr: 3.559404668605262e-05 loss: 0.0957 (0.1024) loss_seg: 0.0940 (0.1014) loss_lansim: 0.1018 (0.0864) loss_contra: 0.0016 (0.0108) time: 3.0489 data: 0.0059 max mem: 31630 Epoch: [12] [3070/5278] eta: 1:51:31 lr: 3.559183316417316e-05 loss: 0.0980 (0.1025) loss_seg: 0.0969 (0.1015) loss_lansim: 0.1008 (0.0864) loss_contra: 0.0018 (0.0107) time: 3.0474 data: 0.0060 max mem: 31630 Epoch: [12] [3080/5278] eta: 1:51:00 lr: 3.5589619626997715e-05 loss: 0.0975 (0.1024) loss_seg: 0.0966 (0.1015) loss_lansim: 0.1006 (0.0864) loss_contra: 0.0021 (0.0108) time: 3.0440 data: 0.0060 max mem: 31630 Epoch: [12] [3090/5278] eta: 1:50:30 lr: 3.558740607452511e-05 loss: 0.0975 (0.1024) loss_seg: 0.0966 (0.1014) loss_lansim: 0.0988 (0.0863) loss_contra: 0.0023 (0.0108) time: 3.0425 data: 0.0061 max mem: 31630 Epoch: [12] [3100/5278] eta: 1:50:00 lr: 3.558519250675418e-05 loss: 0.0951 (0.1024) loss_seg: 0.0942 (0.1014) loss_lansim: 0.0960 (0.0863) loss_contra: 0.0027 (0.0108) time: 3.0421 data: 0.0061 max mem: 31630 Epoch: [12] [3110/5278] eta: 1:49:30 lr: 3.558297892368377e-05 loss: 0.0975 (0.1024) loss_seg: 0.0966 (0.1014) loss_lansim: 0.0938 (0.0863) loss_contra: 0.0028 (0.0110) time: 3.0436 data: 0.0061 max mem: 31630 Epoch: [12] [3120/5278] eta: 1:49:00 lr: 3.558076532531271e-05 loss: 0.0955 (0.1024) loss_seg: 0.0946 (0.1014) loss_lansim: 0.0910 (0.0863) loss_contra: 0.0032 (0.0110) time: 3.0459 data: 0.0061 max mem: 31630 Epoch: [12] [3130/5278] eta: 1:48:30 lr: 3.557855171163984e-05 loss: 0.0929 (0.1023) loss_seg: 0.0921 (0.1014) loss_lansim: 0.0872 (0.0863) loss_contra: 0.0031 (0.0109) time: 3.0412 data: 0.0061 max mem: 31630 Epoch: [12] [3140/5278] eta: 1:47:59 lr: 3.557633808266399e-05 loss: 0.0951 (0.1024) loss_seg: 0.0930 (0.1014) loss_lansim: 0.0844 (0.0863) loss_contra: 0.0032 (0.0110) time: 3.0461 data: 0.0062 max mem: 31630 Epoch: [12] [3150/5278] eta: 1:47:29 lr: 3.557412443838399e-05 loss: 0.0960 (0.1024) loss_seg: 0.0946 (0.1014) loss_lansim: 0.0825 (0.0863) loss_contra: 0.0032 (0.0110) time: 3.0485 data: 0.0064 max mem: 31630 Epoch: [12] [3160/5278] eta: 1:47:00 lr: 3.557191077879871e-05 loss: 0.0938 (0.1023) loss_seg: 0.0929 (0.1014) loss_lansim: 0.0808 (0.0862) loss_contra: 0.0038 (0.0110) time: 3.0642 data: 0.0065 max mem: 31630 Epoch: [12] [3170/5278] eta: 1:46:31 lr: 3.5569697103906946e-05 loss: 0.0909 (0.1023) loss_seg: 0.0901 (0.1013) loss_lansim: 0.0802 (0.0862) loss_contra: 0.0038 (0.0110) time: 3.0809 data: 0.0066 max mem: 31630 Epoch: [12] [3180/5278] eta: 1:46:02 lr: 3.5567483413707556e-05 loss: 0.0909 (0.1022) loss_seg: 0.0901 (0.1013) loss_lansim: 0.0803 (0.0862) loss_contra: 0.0041 (0.0111) time: 3.0953 data: 0.0068 max mem: 31630 Epoch: [12] [3190/5278] eta: 1:45:32 lr: 3.556526970819937e-05 loss: 0.0912 (0.1023) loss_seg: 0.0903 (0.1013) loss_lansim: 0.0801 (0.0862) loss_contra: 0.0032 (0.0111) time: 3.1097 data: 0.0069 max mem: 31630 Epoch: [12] [3200/5278] eta: 1:45:03 lr: 3.556305598738122e-05 loss: 0.0954 (0.1024) loss_seg: 0.0940 (0.1014) loss_lansim: 0.0808 (0.0862) loss_contra: 0.0029 (0.0111) time: 3.1214 data: 0.0071 max mem: 31630 Epoch: [12] [3210/5278] eta: 1:44:33 lr: 3.556084225125195e-05 loss: 0.0955 (0.1024) loss_seg: 0.0945 (0.1015) loss_lansim: 0.0811 (0.0862) loss_contra: 0.0022 (0.0110) time: 3.1314 data: 0.0072 max mem: 31630 Epoch: [12] [3220/5278] eta: 1:44:04 lr: 3.555862849981039e-05 loss: 0.0950 (0.1025) loss_seg: 0.0936 (0.1015) loss_lansim: 0.0810 (0.0862) loss_contra: 0.0020 (0.0110) time: 3.1433 data: 0.0072 max mem: 31630 Epoch: [12] [3230/5278] eta: 1:43:34 lr: 3.555641473305536e-05 loss: 0.0954 (0.1025) loss_seg: 0.0940 (0.1015) loss_lansim: 0.0808 (0.0862) loss_contra: 0.0025 (0.0110) time: 3.1448 data: 0.0073 max mem: 31630 Epoch: [12] [3240/5278] eta: 1:43:03 lr: 3.555420095098573e-05 loss: 0.0950 (0.1025) loss_seg: 0.0940 (0.1015) loss_lansim: 0.0830 (0.0862) loss_contra: 0.0022 (0.0111) time: 3.1409 data: 0.0073 max mem: 31630 Epoch: [12] [3250/5278] eta: 1:42:33 lr: 3.5551987153600296e-05 loss: 0.0939 (0.1024) loss_seg: 0.0931 (0.1015) loss_lansim: 0.0835 (0.0862) loss_contra: 0.0031 (0.0111) time: 3.1436 data: 0.0071 max mem: 31630 Epoch: [12] [3260/5278] eta: 1:42:03 lr: 3.554977334089792e-05 loss: 0.0954 (0.1025) loss_seg: 0.0945 (0.1015) loss_lansim: 0.0861 (0.0862) loss_contra: 0.0025 (0.0110) time: 3.1311 data: 0.0070 max mem: 31630 Epoch: [12] [3270/5278] eta: 1:41:33 lr: 3.554755951287742e-05 loss: 0.0959 (0.1025) loss_seg: 0.0950 (0.1016) loss_lansim: 0.0873 (0.0863) loss_contra: 0.0025 (0.0111) time: 3.1138 data: 0.0069 max mem: 31630 Epoch: [12] [3280/5278] eta: 1:41:02 lr: 3.554534566953764e-05 loss: 0.0980 (0.1026) loss_seg: 0.0971 (0.1016) loss_lansim: 0.0885 (0.0863) loss_contra: 0.0024 (0.0110) time: 3.1001 data: 0.0068 max mem: 31630 Epoch: [12] [3290/5278] eta: 1:40:32 lr: 3.554313181087741e-05 loss: 0.0967 (0.1026) loss_seg: 0.0956 (0.1016) loss_lansim: 0.0917 (0.0864) loss_contra: 0.0032 (0.0116) time: 3.0831 data: 0.0067 max mem: 31630 Epoch: [12] [3300/5278] eta: 1:40:02 lr: 3.5540917936895564e-05 loss: 0.0965 (0.1026) loss_seg: 0.0955 (0.1016) loss_lansim: 0.0919 (0.0864) loss_contra: 0.0034 (0.0118) time: 3.0725 data: 0.0066 max mem: 31630 Epoch: [12] [3310/5278] eta: 1:39:31 lr: 3.553870404759093e-05 loss: 0.0967 (0.1026) loss_seg: 0.0956 (0.1016) loss_lansim: 0.0922 (0.0864) loss_contra: 0.0048 (0.0119) time: 3.0601 data: 0.0065 max mem: 31630 Epoch: [12] [3320/5278] eta: 1:39:01 lr: 3.553649014296235e-05 loss: 0.0985 (0.1027) loss_seg: 0.0975 (0.1017) loss_lansim: 0.0929 (0.0864) loss_contra: 0.0048 (0.0119) time: 3.0425 data: 0.0064 max mem: 31630 Epoch: [12] [3330/5278] eta: 1:38:31 lr: 3.553427622300865e-05 loss: 0.0986 (0.1028) loss_seg: 0.0975 (0.1018) loss_lansim: 0.0930 (0.0863) loss_contra: 0.0048 (0.0120) time: 3.0447 data: 0.0063 max mem: 31630 Epoch: [12] [3340/5278] eta: 1:38:00 lr: 3.553206228772867e-05 loss: 0.0990 (0.1028) loss_seg: 0.0978 (0.1018) loss_lansim: 0.0923 (0.0863) loss_contra: 0.0052 (0.0120) time: 3.0462 data: 0.0062 max mem: 31630 Epoch: [12] [3350/5278] eta: 1:37:30 lr: 3.552984833712124e-05 loss: 0.1034 (0.1029) loss_seg: 0.1015 (0.1019) loss_lansim: 0.0914 (0.0863) loss_contra: 0.0045 (0.0122) time: 3.0306 data: 0.0062 max mem: 31630 Epoch: [12] [3360/5278] eta: 1:36:59 lr: 3.552763437118519e-05 loss: 0.1048 (0.1029) loss_seg: 0.1022 (0.1019) loss_lansim: 0.0908 (0.0863) loss_contra: 0.0045 (0.0122) time: 3.0240 data: 0.0062 max mem: 31630 Epoch: [12] [3370/5278] eta: 1:36:29 lr: 3.552542038991936e-05 loss: 0.1048 (0.1029) loss_seg: 0.1022 (0.1019) loss_lansim: 0.0879 (0.0863) loss_contra: 0.0040 (0.0122) time: 3.0236 data: 0.0062 max mem: 31630 Epoch: [12] [3380/5278] eta: 1:35:58 lr: 3.552320639332257e-05 loss: 0.1046 (0.1029) loss_seg: 0.1032 (0.1019) loss_lansim: 0.0861 (0.0863) loss_contra: 0.0045 (0.0122) time: 3.0170 data: 0.0061 max mem: 31630 Epoch: [12] [3390/5278] eta: 1:35:27 lr: 3.552099238139366e-05 loss: 0.1048 (0.1028) loss_seg: 0.1032 (0.1019) loss_lansim: 0.0857 (0.0863) loss_contra: 0.0045 (0.0122) time: 3.0078 data: 0.0060 max mem: 31630 Epoch: [12] [3400/5278] eta: 1:34:57 lr: 3.551877835413147e-05 loss: 0.1041 (0.1028) loss_seg: 0.1017 (0.1018) loss_lansim: 0.0857 (0.0864) loss_contra: 0.0029 (0.0121) time: 3.0040 data: 0.0061 max mem: 31630 Epoch: [12] [3410/5278] eta: 1:34:26 lr: 3.5516564311534814e-05 loss: 0.1015 (0.1028) loss_seg: 0.0991 (0.1018) loss_lansim: 0.0859 (0.0864) loss_contra: 0.0023 (0.0121) time: 2.9970 data: 0.0060 max mem: 31630 Epoch: [12] [3420/5278] eta: 1:33:56 lr: 3.551435025360253e-05 loss: 0.1028 (0.1028) loss_seg: 0.1006 (0.1019) loss_lansim: 0.0881 (0.0864) loss_contra: 0.0020 (0.0121) time: 2.9967 data: 0.0060 max mem: 31630 Epoch: [12] [3430/5278] eta: 1:33:25 lr: 3.5512136180333464e-05 loss: 0.1015 (0.1029) loss_seg: 0.0991 (0.1019) loss_lansim: 0.0905 (0.0865) loss_contra: 0.0017 (0.0121) time: 2.9854 data: 0.0060 max mem: 31630 Epoch: [12] [3440/5278] eta: 1:32:54 lr: 3.5509922091726415e-05 loss: 0.0996 (0.1028) loss_seg: 0.0988 (0.1018) loss_lansim: 0.0911 (0.0866) loss_contra: 0.0017 (0.0121) time: 2.9825 data: 0.0061 max mem: 31630 Epoch: [12] [3450/5278] eta: 1:32:24 lr: 3.5507707987780256e-05 loss: 0.0924 (0.1028) loss_seg: 0.0915 (0.1019) loss_lansim: 0.0950 (0.0866) loss_contra: 0.0015 (0.0120) time: 2.9890 data: 0.0060 max mem: 31630 Epoch: [12] [3460/5278] eta: 1:31:54 lr: 3.550549386849378e-05 loss: 0.0897 (0.1028) loss_seg: 0.0885 (0.1019) loss_lansim: 0.0977 (0.0867) loss_contra: 0.0017 (0.0120) time: 2.9944 data: 0.0060 max mem: 31630 Epoch: [12] [3470/5278] eta: 1:31:24 lr: 3.550327973386584e-05 loss: 0.0881 (0.1028) loss_seg: 0.0871 (0.1018) loss_lansim: 0.0986 (0.0867) loss_contra: 0.0017 (0.0120) time: 3.0045 data: 0.0061 max mem: 31630 Epoch: [12] [3480/5278] eta: 1:30:54 lr: 3.5501065583895266e-05 loss: 0.0881 (0.1028) loss_seg: 0.0871 (0.1018) loss_lansim: 0.0996 (0.0868) loss_contra: 0.0015 (0.0120) time: 3.0202 data: 0.0061 max mem: 31630 Epoch: [12] [3490/5278] eta: 1:30:24 lr: 3.549885141858088e-05 loss: 0.0917 (0.1029) loss_seg: 0.0907 (0.1019) loss_lansim: 0.0996 (0.0868) loss_contra: 0.0013 (0.0120) time: 3.0410 data: 0.0062 max mem: 31630 Epoch: [12] [3500/5278] eta: 1:29:55 lr: 3.549663723792151e-05 loss: 0.0917 (0.1029) loss_seg: 0.0907 (0.1019) loss_lansim: 0.0983 (0.0868) loss_contra: 0.0013 (0.0120) time: 3.0575 data: 0.0063 max mem: 31630 Epoch: [12] [3510/5278] eta: 1:29:25 lr: 3.5494423041916e-05 loss: 0.0959 (0.1029) loss_seg: 0.0949 (0.1019) loss_lansim: 0.0996 (0.0868) loss_contra: 0.0012 (0.0120) time: 3.0732 data: 0.0063 max mem: 31630 Epoch: [12] [3520/5278] eta: 1:28:55 lr: 3.5492208830563165e-05 loss: 0.0959 (0.1030) loss_seg: 0.0949 (0.1020) loss_lansim: 0.0997 (0.0868) loss_contra: 0.0012 (0.0119) time: 3.0905 data: 0.0064 max mem: 31630 Epoch: [12] [3530/5278] eta: 1:28:25 lr: 3.548999460386184e-05 loss: 0.0973 (0.1030) loss_seg: 0.0963 (0.1020) loss_lansim: 0.0989 (0.0869) loss_contra: 0.0011 (0.0119) time: 3.1013 data: 0.0064 max mem: 31630 Epoch: [12] [3540/5278] eta: 1:27:55 lr: 3.548778036181086e-05 loss: 0.0973 (0.1030) loss_seg: 0.0962 (0.1020) loss_lansim: 0.0982 (0.0869) loss_contra: 0.0010 (0.0119) time: 3.1065 data: 0.0064 max mem: 31630 Epoch: [12] [3550/5278] eta: 1:27:24 lr: 3.5485566104409054e-05 loss: 0.0973 (0.1030) loss_seg: 0.0962 (0.1020) loss_lansim: 0.0973 (0.0870) loss_contra: 0.0010 (0.0119) time: 3.1084 data: 0.0064 max mem: 31630 Epoch: [12] [3560/5278] eta: 1:26:54 lr: 3.548335183165524e-05 loss: 0.0969 (0.1030) loss_seg: 0.0958 (0.1020) loss_lansim: 0.0970 (0.0870) loss_contra: 0.0009 (0.0119) time: 3.1017 data: 0.0064 max mem: 31630 Epoch: [12] [3570/5278] eta: 1:26:23 lr: 3.548113754354826e-05 loss: 0.1004 (0.1030) loss_seg: 0.0995 (0.1020) loss_lansim: 0.0970 (0.0870) loss_contra: 0.0010 (0.0118) time: 3.0969 data: 0.0064 max mem: 31630 Epoch: [12] [3580/5278] eta: 1:25:53 lr: 3.5478923240086935e-05 loss: 0.1007 (0.1031) loss_seg: 0.0997 (0.1021) loss_lansim: 0.0970 (0.0870) loss_contra: 0.0010 (0.0119) time: 3.0863 data: 0.0063 max mem: 31630 Epoch: [12] [3590/5278] eta: 1:25:23 lr: 3.5476708921270093e-05 loss: 0.1007 (0.1032) loss_seg: 0.0997 (0.1022) loss_lansim: 0.0971 (0.0871) loss_contra: 0.0010 (0.0119) time: 3.0708 data: 0.0063 max mem: 31630 Epoch: [12] [3600/5278] eta: 1:24:52 lr: 3.547449458709657e-05 loss: 0.1027 (0.1032) loss_seg: 0.1017 (0.1022) loss_lansim: 0.0979 (0.0871) loss_contra: 0.0009 (0.0118) time: 3.0618 data: 0.0061 max mem: 31630 Epoch: [12] [3610/5278] eta: 1:24:22 lr: 3.54722802375652e-05 loss: 0.1021 (0.1032) loss_seg: 0.1011 (0.1022) loss_lansim: 0.0982 (0.0871) loss_contra: 0.0010 (0.0118) time: 3.0541 data: 0.0061 max mem: 31630 Epoch: [12] [3620/5278] eta: 1:23:52 lr: 3.5470065872674785e-05 loss: 0.1036 (0.1033) loss_seg: 0.1027 (0.1023) loss_lansim: 0.0970 (0.0871) loss_contra: 0.0010 (0.0118) time: 3.0347 data: 0.0061 max mem: 31630 Epoch: [12] [3630/5278] eta: 1:23:21 lr: 3.5467851492424175e-05 loss: 0.1042 (0.1033) loss_seg: 0.1031 (0.1024) loss_lansim: 0.0978 (0.0872) loss_contra: 0.0014 (0.0118) time: 3.0339 data: 0.0062 max mem: 31630 Epoch: [12] [3640/5278] eta: 1:22:51 lr: 3.5465637096812196e-05 loss: 0.1048 (0.1033) loss_seg: 0.1038 (0.1023) loss_lansim: 0.0968 (0.0872) loss_contra: 0.0014 (0.0118) time: 3.0367 data: 0.0061 max mem: 31630 Epoch: [12] [3650/5278] eta: 1:22:21 lr: 3.546342268583767e-05 loss: 0.1051 (0.1034) loss_seg: 0.1040 (0.1024) loss_lansim: 0.0968 (0.0872) loss_contra: 0.0014 (0.0118) time: 3.0400 data: 0.0061 max mem: 31630 Epoch: [12] [3660/5278] eta: 1:21:50 lr: 3.5461208259499427e-05 loss: 0.1052 (0.1033) loss_seg: 0.1041 (0.1023) loss_lansim: 0.0959 (0.0872) loss_contra: 0.0014 (0.0118) time: 3.0399 data: 0.0062 max mem: 31630 Epoch: [12] [3670/5278] eta: 1:21:20 lr: 3.545899381779629e-05 loss: 0.1063 (0.1033) loss_seg: 0.1055 (0.1023) loss_lansim: 0.0942 (0.0872) loss_contra: 0.0012 (0.0117) time: 3.0359 data: 0.0062 max mem: 31630 Epoch: [12] [3680/5278] eta: 1:20:50 lr: 3.545677936072709e-05 loss: 0.1052 (0.1033) loss_seg: 0.1041 (0.1023) loss_lansim: 0.0944 (0.0873) loss_contra: 0.0012 (0.0117) time: 3.0381 data: 0.0062 max mem: 31630 Epoch: [12] [3690/5278] eta: 1:20:19 lr: 3.545456488829067e-05 loss: 0.1052 (0.1034) loss_seg: 0.1040 (0.1024) loss_lansim: 0.0942 (0.0873) loss_contra: 0.0012 (0.0117) time: 3.0376 data: 0.0062 max mem: 31630 Epoch: [12] [3700/5278] eta: 1:19:49 lr: 3.545235040048583e-05 loss: 0.1053 (0.1034) loss_seg: 0.1043 (0.1025) loss_lansim: 0.0943 (0.0873) loss_contra: 0.0012 (0.0117) time: 3.0317 data: 0.0062 max mem: 31630 Epoch: [12] [3710/5278] eta: 1:19:19 lr: 3.5450135897311404e-05 loss: 0.1068 (0.1035) loss_seg: 0.1058 (0.1025) loss_lansim: 0.0942 (0.0874) loss_contra: 0.0012 (0.0117) time: 3.0352 data: 0.0062 max mem: 31630 Epoch: [12] [3720/5278] eta: 1:18:48 lr: 3.544792137876623e-05 loss: 0.1048 (0.1035) loss_seg: 0.1036 (0.1025) loss_lansim: 0.0957 (0.0874) loss_contra: 0.0012 (0.0116) time: 3.0435 data: 0.0062 max mem: 31630 Epoch: [12] [3730/5278] eta: 1:18:18 lr: 3.5445706844849115e-05 loss: 0.1048 (0.1035) loss_seg: 0.1036 (0.1025) loss_lansim: 0.0963 (0.0875) loss_contra: 0.0009 (0.0116) time: 3.0439 data: 0.0061 max mem: 31630 Epoch: [12] [3740/5278] eta: 1:17:48 lr: 3.544349229555891e-05 loss: 0.1053 (0.1035) loss_seg: 0.1043 (0.1025) loss_lansim: 0.0967 (0.0875) loss_contra: 0.0010 (0.0116) time: 3.0441 data: 0.0061 max mem: 31630 Epoch: [12] [3750/5278] eta: 1:17:18 lr: 3.544127773089442e-05 loss: 0.1048 (0.1035) loss_seg: 0.1036 (0.1025) loss_lansim: 0.0972 (0.0876) loss_contra: 0.0011 (0.0116) time: 3.0404 data: 0.0061 max mem: 31630 Epoch: [12] [3760/5278] eta: 1:16:48 lr: 3.543906315085448e-05 loss: 0.1048 (0.1035) loss_seg: 0.1036 (0.1025) loss_lansim: 0.1003 (0.0876) loss_contra: 0.0009 (0.0116) time: 3.0555 data: 0.0060 max mem: 31630 Epoch: [12] [3770/5278] eta: 1:16:18 lr: 3.543684855543792e-05 loss: 0.1048 (0.1036) loss_seg: 0.1036 (0.1026) loss_lansim: 0.1032 (0.0877) loss_contra: 0.0009 (0.0116) time: 3.0670 data: 0.0061 max mem: 31630 Epoch: [12] [3780/5278] eta: 1:15:48 lr: 3.543463394464356e-05 loss: 0.1037 (0.1035) loss_seg: 0.1027 (0.1025) loss_lansim: 0.1030 (0.0877) loss_contra: 0.0009 (0.0116) time: 3.0732 data: 0.0061 max mem: 31630 Epoch: [12] [3790/5278] eta: 1:15:18 lr: 3.5432419318470214e-05 loss: 0.1004 (0.1035) loss_seg: 0.0992 (0.1025) loss_lansim: 0.1030 (0.0877) loss_contra: 0.0009 (0.0115) time: 3.0879 data: 0.0062 max mem: 31630 Epoch: [12] [3800/5278] eta: 1:14:48 lr: 3.543020467691674e-05 loss: 0.0983 (0.1035) loss_seg: 0.0973 (0.1025) loss_lansim: 0.1028 (0.0877) loss_contra: 0.0009 (0.0115) time: 3.0981 data: 0.0061 max mem: 31630 Epoch: [12] [3810/5278] eta: 1:14:18 lr: 3.5427990019981913e-05 loss: 0.0983 (0.1036) loss_seg: 0.0973 (0.1026) loss_lansim: 0.1009 (0.0877) loss_contra: 0.0009 (0.0115) time: 3.1034 data: 0.0062 max mem: 31630 Epoch: [12] [3820/5278] eta: 1:13:48 lr: 3.5425775347664606e-05 loss: 0.0980 (0.1035) loss_seg: 0.0967 (0.1025) loss_lansim: 0.0988 (0.0877) loss_contra: 0.0008 (0.0115) time: 3.1130 data: 0.0062 max mem: 31630 Epoch: [12] [3830/5278] eta: 1:13:17 lr: 3.5423560659963615e-05 loss: 0.0961 (0.1035) loss_seg: 0.0954 (0.1025) loss_lansim: 0.0960 (0.0877) loss_contra: 0.0008 (0.0115) time: 3.1106 data: 0.0062 max mem: 31630 Epoch: [12] [3840/5278] eta: 1:12:47 lr: 3.5421345956877775e-05 loss: 0.0948 (0.1035) loss_seg: 0.0940 (0.1025) loss_lansim: 0.0932 (0.0877) loss_contra: 0.0007 (0.0114) time: 3.1014 data: 0.0063 max mem: 31630 Epoch: [12] [3850/5278] eta: 1:12:17 lr: 3.541913123840592e-05 loss: 0.0919 (0.1035) loss_seg: 0.0910 (0.1025) loss_lansim: 0.0902 (0.0877) loss_contra: 0.0007 (0.0114) time: 3.1045 data: 0.0063 max mem: 31630 Epoch: [12] [3860/5278] eta: 1:11:46 lr: 3.541691650454685e-05 loss: 0.0930 (0.1035) loss_seg: 0.0920 (0.1026) loss_lansim: 0.0870 (0.0877) loss_contra: 0.0007 (0.0114) time: 3.0952 data: 0.0063 max mem: 31630 Epoch: [12] [3870/5278] eta: 1:11:16 lr: 3.541470175529941e-05 loss: 0.0948 (0.1036) loss_seg: 0.0940 (0.1027) loss_lansim: 0.0860 (0.0876) loss_contra: 0.0008 (0.0114) time: 3.0828 data: 0.0063 max mem: 31630 Epoch: [12] [3880/5278] eta: 1:10:45 lr: 3.541248699066241e-05 loss: 0.0948 (0.1036) loss_seg: 0.0940 (0.1026) loss_lansim: 0.0845 (0.0876) loss_contra: 0.0007 (0.0114) time: 3.0748 data: 0.0064 max mem: 31630 Epoch: [12] [3890/5278] eta: 1:10:15 lr: 3.541027221063468e-05 loss: 0.0967 (0.1036) loss_seg: 0.0960 (0.1026) loss_lansim: 0.0832 (0.0876) loss_contra: 0.0008 (0.0114) time: 3.0628 data: 0.0064 max mem: 31630 Epoch: [12] [3900/5278] eta: 1:09:45 lr: 3.540805741521505e-05 loss: 0.0991 (0.1037) loss_seg: 0.0982 (0.1027) loss_lansim: 0.0830 (0.0876) loss_contra: 0.0008 (0.0113) time: 3.0586 data: 0.0064 max mem: 31630 Epoch: [12] [3910/5278] eta: 1:09:14 lr: 3.5405842604402325e-05 loss: 0.0981 (0.1036) loss_seg: 0.0969 (0.1026) loss_lansim: 0.0820 (0.0876) loss_contra: 0.0008 (0.0113) time: 3.0488 data: 0.0064 max mem: 31630 Epoch: [12] [3920/5278] eta: 1:08:44 lr: 3.540362777819533e-05 loss: 0.0983 (0.1036) loss_seg: 0.0971 (0.1026) loss_lansim: 0.0820 (0.0876) loss_contra: 0.0008 (0.0113) time: 3.0312 data: 0.0064 max mem: 31630 Epoch: [12] [3930/5278] eta: 1:08:14 lr: 3.540141293659292e-05 loss: 0.0974 (0.1035) loss_seg: 0.0966 (0.1025) loss_lansim: 0.0820 (0.0876) loss_contra: 0.0008 (0.0113) time: 3.0317 data: 0.0064 max mem: 31630 Epoch: [12] [3940/5278] eta: 1:07:43 lr: 3.539919807959388e-05 loss: 0.0988 (0.1036) loss_seg: 0.0979 (0.1026) loss_lansim: 0.0820 (0.0875) loss_contra: 0.0008 (0.0113) time: 3.0380 data: 0.0064 max mem: 31630 Epoch: [12] [3950/5278] eta: 1:07:13 lr: 3.539698320719705e-05 loss: 0.1012 (0.1036) loss_seg: 0.1003 (0.1027) loss_lansim: 0.0827 (0.0875) loss_contra: 0.0008 (0.0113) time: 3.0360 data: 0.0063 max mem: 31630 Epoch: [12] [3960/5278] eta: 1:06:42 lr: 3.539476831940126e-05 loss: 0.1004 (0.1036) loss_seg: 0.0996 (0.1026) loss_lansim: 0.0830 (0.0875) loss_contra: 0.0008 (0.0112) time: 3.0331 data: 0.0064 max mem: 31630 Epoch: [12] [3970/5278] eta: 1:06:12 lr: 3.539255341620531e-05 loss: 0.1004 (0.1037) loss_seg: 0.0996 (0.1027) loss_lansim: 0.0831 (0.0875) loss_contra: 0.0008 (0.0112) time: 3.0317 data: 0.0063 max mem: 31630 Epoch: [12] [3980/5278] eta: 1:05:42 lr: 3.539033849760804e-05 loss: 0.1000 (0.1037) loss_seg: 0.0992 (0.1027) loss_lansim: 0.0838 (0.0875) loss_contra: 0.0009 (0.0112) time: 3.0318 data: 0.0062 max mem: 31630 Epoch: [12] [3990/5278] eta: 1:05:11 lr: 3.538812356360826e-05 loss: 0.0968 (0.1037) loss_seg: 0.0960 (0.1027) loss_lansim: 0.0840 (0.0875) loss_contra: 0.0010 (0.0112) time: 3.0327 data: 0.0062 max mem: 31630 Epoch: [12] [4000/5278] eta: 1:04:41 lr: 3.5385908614204805e-05 loss: 0.0935 (0.1036) loss_seg: 0.0926 (0.1026) loss_lansim: 0.0845 (0.0875) loss_contra: 0.0010 (0.0112) time: 3.0286 data: 0.0062 max mem: 31630 Epoch: [12] [4010/5278] eta: 1:04:10 lr: 3.538369364939649e-05 loss: 0.0926 (0.1037) loss_seg: 0.0918 (0.1027) loss_lansim: 0.0851 (0.0875) loss_contra: 0.0011 (0.0113) time: 3.0268 data: 0.0061 max mem: 31630 Epoch: [12] [4020/5278] eta: 1:03:40 lr: 3.5381478669182124e-05 loss: 0.0915 (0.1036) loss_seg: 0.0907 (0.1026) loss_lansim: 0.0862 (0.0875) loss_contra: 0.0014 (0.0113) time: 3.0302 data: 0.0062 max mem: 31630 Epoch: [12] [4030/5278] eta: 1:03:09 lr: 3.5379263673560546e-05 loss: 0.0968 (0.1036) loss_seg: 0.0959 (0.1026) loss_lansim: 0.0872 (0.0876) loss_contra: 0.0016 (0.0113) time: 3.0247 data: 0.0061 max mem: 31630 Epoch: [12] [4040/5278] eta: 1:02:39 lr: 3.537704866253057e-05 loss: 0.0968 (0.1037) loss_seg: 0.0959 (0.1027) loss_lansim: 0.0879 (0.0876) loss_contra: 0.0018 (0.0113) time: 3.0252 data: 0.0061 max mem: 31630 Epoch: [12] [4050/5278] eta: 1:02:09 lr: 3.537483363609102e-05 loss: 0.0937 (0.1038) loss_seg: 0.0926 (0.1028) loss_lansim: 0.0883 (0.0876) loss_contra: 0.0017 (0.0113) time: 3.0289 data: 0.0061 max mem: 31630 Epoch: [12] [4060/5278] eta: 1:01:39 lr: 3.537261859424072e-05 loss: 0.0968 (0.1038) loss_seg: 0.0960 (0.1028) loss_lansim: 0.0901 (0.0876) loss_contra: 0.0022 (0.0114) time: 3.0391 data: 0.0061 max mem: 31630 Epoch: [12] [4070/5278] eta: 1:01:09 lr: 3.537040353697847e-05 loss: 0.0968 (0.1038) loss_seg: 0.0959 (0.1028) loss_lansim: 0.0907 (0.0876) loss_contra: 0.0025 (0.0116) time: 3.0524 data: 0.0062 max mem: 31630 Epoch: [12] [4080/5278] eta: 1:00:39 lr: 3.5368188464303114e-05 loss: 0.0996 (0.1038) loss_seg: 0.0985 (0.1028) loss_lansim: 0.0914 (0.0876) loss_contra: 0.0031 (0.0116) time: 3.0665 data: 0.0062 max mem: 31630 Epoch: [12] [4090/5278] eta: 1:00:09 lr: 3.5365973376213464e-05 loss: 0.1012 (0.1039) loss_seg: 0.1003 (0.1029) loss_lansim: 0.0917 (0.0877) loss_contra: 0.0035 (0.0116) time: 3.0761 data: 0.0062 max mem: 31630 Epoch: [12] [4100/5278] eta: 0:59:38 lr: 3.5363758272708336e-05 loss: 0.1075 (0.1040) loss_seg: 0.1051 (0.1030) loss_lansim: 0.0943 (0.0877) loss_contra: 0.0045 (0.0117) time: 3.0836 data: 0.0062 max mem: 31630 Epoch: [12] [4110/5278] eta: 0:59:08 lr: 3.536154315378656e-05 loss: 0.1086 (0.1040) loss_seg: 0.1077 (0.1030) loss_lansim: 0.0955 (0.0878) loss_contra: 0.0059 (0.0119) time: 3.0964 data: 0.0062 max mem: 31630 Epoch: [12] [4120/5278] eta: 0:58:38 lr: 3.535932801944694e-05 loss: 0.1109 (0.1042) loss_seg: 0.1098 (0.1032) loss_lansim: 0.0948 (0.0878) loss_contra: 0.0062 (0.0120) time: 3.1092 data: 0.0062 max mem: 31630 Epoch: [12] [4130/5278] eta: 0:58:08 lr: 3.535711286968831e-05 loss: 0.1112 (0.1042) loss_seg: 0.1104 (0.1032) loss_lansim: 0.0950 (0.0878) loss_contra: 0.0098 (0.0121) time: 3.1123 data: 0.0062 max mem: 31630 Epoch: [12] [4140/5278] eta: 0:57:37 lr: 3.5354897704509484e-05 loss: 0.1108 (0.1043) loss_seg: 0.1096 (0.1033) loss_lansim: 0.0952 (0.0878) loss_contra: 0.0123 (0.0122) time: 3.0975 data: 0.0062 max mem: 31630 Epoch: [12] [4150/5278] eta: 0:57:06 lr: 3.5352682523909274e-05 loss: 0.1106 (0.1043) loss_seg: 0.1090 (0.1033) loss_lansim: 0.0955 (0.0878) loss_contra: 0.0137 (0.0122) time: 3.0838 data: 0.0062 max mem: 31630 Epoch: [12] [4160/5278] eta: 0:56:36 lr: 3.535046732788651e-05 loss: 0.1120 (0.1044) loss_seg: 0.1109 (0.1034) loss_lansim: 0.0948 (0.0878) loss_contra: 0.0123 (0.0122) time: 3.0660 data: 0.0062 max mem: 31630 Epoch: [12] [4170/5278] eta: 0:56:05 lr: 3.5348252116440004e-05 loss: 0.1127 (0.1045) loss_seg: 0.1113 (0.1035) loss_lansim: 0.0948 (0.0878) loss_contra: 0.0123 (0.0122) time: 3.0427 data: 0.0061 max mem: 31630 Epoch: [12] [4180/5278] eta: 0:55:34 lr: 3.5346036889568586e-05 loss: 0.1139 (0.1045) loss_seg: 0.1119 (0.1035) loss_lansim: 0.0948 (0.0878) loss_contra: 0.0137 (0.0123) time: 3.0206 data: 0.0060 max mem: 31630 Epoch: [12] [4190/5278] eta: 0:55:04 lr: 3.534382164727106e-05 loss: 0.1139 (0.1046) loss_seg: 0.1119 (0.1036) loss_lansim: 0.0935 (0.0878) loss_contra: 0.0123 (0.0123) time: 2.9981 data: 0.0060 max mem: 31630 Epoch: [12] [4200/5278] eta: 0:54:33 lr: 3.534160638954625e-05 loss: 0.1139 (0.1046) loss_seg: 0.1119 (0.1036) loss_lansim: 0.0916 (0.0878) loss_contra: 0.0110 (0.0124) time: 2.9804 data: 0.0060 max mem: 31630 Epoch: [12] [4210/5278] eta: 0:54:02 lr: 3.533939111639297e-05 loss: 0.1141 (0.1047) loss_seg: 0.1134 (0.1037) loss_lansim: 0.0905 (0.0878) loss_contra: 0.0081 (0.0124) time: 2.9582 data: 0.0060 max mem: 31630 Epoch: [12] [4220/5278] eta: 0:53:32 lr: 3.5337175827810045e-05 loss: 0.1136 (0.1047) loss_seg: 0.1115 (0.1037) loss_lansim: 0.0898 (0.0878) loss_contra: 0.0061 (0.0124) time: 2.9346 data: 0.0060 max mem: 31630 Epoch: [12] [4230/5278] eta: 0:53:01 lr: 3.533496052379629e-05 loss: 0.1130 (0.1047) loss_seg: 0.1109 (0.1037) loss_lansim: 0.0879 (0.0878) loss_contra: 0.0055 (0.0125) time: 2.9303 data: 0.0061 max mem: 31630 Epoch: [12] [4240/5278] eta: 0:52:31 lr: 3.5332745204350525e-05 loss: 0.1136 (0.1048) loss_seg: 0.1115 (0.1038) loss_lansim: 0.0853 (0.0878) loss_contra: 0.0045 (0.0124) time: 2.9283 data: 0.0061 max mem: 31630 Epoch: [12] [4250/5278] eta: 0:52:00 lr: 3.5330529869471564e-05 loss: 0.1141 (0.1048) loss_seg: 0.1134 (0.1038) loss_lansim: 0.0844 (0.0878) loss_contra: 0.0049 (0.0124) time: 2.9276 data: 0.0061 max mem: 31630 Epoch: [12] [4260/5278] eta: 0:51:29 lr: 3.532831451915822e-05 loss: 0.1139 (0.1049) loss_seg: 0.1115 (0.1039) loss_lansim: 0.0824 (0.0877) loss_contra: 0.0041 (0.0124) time: 2.9282 data: 0.0061 max mem: 31630 Epoch: [12] [4270/5278] eta: 0:50:59 lr: 3.532609915340932e-05 loss: 0.1136 (0.1050) loss_seg: 0.1110 (0.1040) loss_lansim: 0.0823 (0.0877) loss_contra: 0.0041 (0.0125) time: 2.9249 data: 0.0061 max mem: 31630 Epoch: [12] [4280/5278] eta: 0:50:28 lr: 3.532388377222367e-05 loss: 0.1080 (0.1050) loss_seg: 0.1070 (0.1040) loss_lansim: 0.0799 (0.0877) loss_contra: 0.0041 (0.0125) time: 2.9252 data: 0.0061 max mem: 31630 Epoch: [12] [4290/5278] eta: 0:49:58 lr: 3.5321668375600094e-05 loss: 0.1089 (0.1050) loss_seg: 0.1075 (0.1040) loss_lansim: 0.0789 (0.0877) loss_contra: 0.0039 (0.0125) time: 2.9262 data: 0.0062 max mem: 31630 Epoch: [12] [4300/5278] eta: 0:49:27 lr: 3.531945296353741e-05 loss: 0.1080 (0.1050) loss_seg: 0.1070 (0.1040) loss_lansim: 0.0781 (0.0877) loss_contra: 0.0039 (0.0126) time: 2.9260 data: 0.0062 max mem: 31630 Epoch: [12] [4310/5278] eta: 0:48:56 lr: 3.531723753603443e-05 loss: 0.1080 (0.1051) loss_seg: 0.1070 (0.1041) loss_lansim: 0.0778 (0.0877) loss_contra: 0.0039 (0.0126) time: 2.9301 data: 0.0062 max mem: 31630 Epoch: [12] [4320/5278] eta: 0:48:26 lr: 3.5315022093089975e-05 loss: 0.1071 (0.1051) loss_seg: 0.1057 (0.1041) loss_lansim: 0.0778 (0.0876) loss_contra: 0.0040 (0.0126) time: 2.9304 data: 0.0061 max mem: 31630 Epoch: [12] [4330/5278] eta: 0:47:55 lr: 3.531280663470285e-05 loss: 0.1080 (0.1052) loss_seg: 0.1070 (0.1041) loss_lansim: 0.0773 (0.0876) loss_contra: 0.0039 (0.0126) time: 2.9272 data: 0.0061 max mem: 31630 Epoch: [12] [4340/5278] eta: 0:47:25 lr: 3.531059116087189e-05 loss: 0.1080 (0.1052) loss_seg: 0.1070 (0.1042) loss_lansim: 0.0807 (0.0876) loss_contra: 0.0039 (0.0126) time: 2.9331 data: 0.0061 max mem: 31630 Epoch: [12] [4350/5278] eta: 0:46:54 lr: 3.530837567159589e-05 loss: 0.1071 (0.1052) loss_seg: 0.1057 (0.1042) loss_lansim: 0.0814 (0.0876) loss_contra: 0.0036 (0.0126) time: 2.9312 data: 0.0061 max mem: 31630 Epoch: [12] [4360/5278] eta: 0:46:24 lr: 3.530616016687367e-05 loss: 0.1042 (0.1052) loss_seg: 0.1033 (0.1042) loss_lansim: 0.0828 (0.0877) loss_contra: 0.0036 (0.0125) time: 2.9269 data: 0.0060 max mem: 31630 Epoch: [12] [4370/5278] eta: 0:45:53 lr: 3.5303944646704064e-05 loss: 0.1048 (0.1052) loss_seg: 0.1041 (0.1042) loss_lansim: 0.0847 (0.0877) loss_contra: 0.0036 (0.0126) time: 2.9331 data: 0.0060 max mem: 31630 Epoch: [12] [4380/5278] eta: 0:45:23 lr: 3.5301729111085864e-05 loss: 0.1032 (0.1052) loss_seg: 0.1020 (0.1042) loss_lansim: 0.0875 (0.0877) loss_contra: 0.0035 (0.0126) time: 2.9341 data: 0.0060 max mem: 31630 Epoch: [12] [4390/5278] eta: 0:44:52 lr: 3.529951356001789e-05 loss: 0.1027 (0.1052) loss_seg: 0.1014 (0.1042) loss_lansim: 0.0893 (0.0878) loss_contra: 0.0035 (0.0126) time: 2.9344 data: 0.0060 max mem: 31630 Epoch: [12] [4400/5278] eta: 0:44:21 lr: 3.5297297993498974e-05 loss: 0.1052 (0.1052) loss_seg: 0.1041 (0.1042) loss_lansim: 0.0921 (0.0878) loss_contra: 0.0034 (0.0126) time: 2.9314 data: 0.0060 max mem: 31630 Epoch: [12] [4410/5278] eta: 0:43:51 lr: 3.5295082411527906e-05 loss: 0.1042 (0.1053) loss_seg: 0.1033 (0.1043) loss_lansim: 0.0935 (0.0878) loss_contra: 0.0034 (0.0126) time: 2.9321 data: 0.0059 max mem: 31630 Epoch: [12] [4420/5278] eta: 0:43:21 lr: 3.529286681410352e-05 loss: 0.1055 (0.1053) loss_seg: 0.1047 (0.1043) loss_lansim: 0.0972 (0.0878) loss_contra: 0.0025 (0.0126) time: 2.9326 data: 0.0060 max mem: 31630 Epoch: [12] [4430/5278] eta: 0:42:50 lr: 3.529065120122462e-05 loss: 0.1042 (0.1053) loss_seg: 0.1033 (0.1043) loss_lansim: 0.0972 (0.0878) loss_contra: 0.0025 (0.0127) time: 2.9285 data: 0.0059 max mem: 31630 Epoch: [12] [4440/5278] eta: 0:42:19 lr: 3.528843557289002e-05 loss: 0.1032 (0.1054) loss_seg: 0.1020 (0.1044) loss_lansim: 0.0965 (0.0878) loss_contra: 0.0036 (0.0127) time: 2.9295 data: 0.0059 max mem: 31630 Epoch: [12] [4450/5278] eta: 0:41:49 lr: 3.528621992909854e-05 loss: 0.1040 (0.1055) loss_seg: 0.1034 (0.1045) loss_lansim: 0.0950 (0.0877) loss_contra: 0.0040 (0.0130) time: 2.9283 data: 0.0059 max mem: 31630 Epoch: [12] [4460/5278] eta: 0:41:18 lr: 3.5284004269848983e-05 loss: 0.1040 (0.1055) loss_seg: 0.1034 (0.1045) loss_lansim: 0.0887 (0.0876) loss_contra: 0.0048 (0.0131) time: 2.9312 data: 0.0059 max mem: 31630 Epoch: [12] [4470/5278] eta: 0:40:48 lr: 3.528178859514018e-05 loss: 0.1040 (0.1055) loss_seg: 0.1034 (0.1045) loss_lansim: 0.0786 (0.0875) loss_contra: 0.0058 (0.0132) time: 2.9331 data: 0.0059 max mem: 31630 Epoch: [12] [4480/5278] eta: 0:40:18 lr: 3.527957290497093e-05 loss: 0.1122 (0.1055) loss_seg: 0.1111 (0.1045) loss_lansim: 0.0646 (0.0875) loss_contra: 0.0069 (0.0132) time: 2.9310 data: 0.0059 max mem: 31630 Epoch: [12] [4490/5278] eta: 0:39:47 lr: 3.527735719934005e-05 loss: 0.1160 (0.1056) loss_seg: 0.1150 (0.1046) loss_lansim: 0.0590 (0.0874) loss_contra: 0.0093 (0.0133) time: 2.9336 data: 0.0059 max mem: 31630 Epoch: [12] [4500/5278] eta: 0:39:17 lr: 3.527514147824635e-05 loss: 0.1040 (0.1056) loss_seg: 0.1034 (0.1046) loss_lansim: 0.0573 (0.0873) loss_contra: 0.0123 (0.0134) time: 2.9358 data: 0.0059 max mem: 31630 Epoch: [12] [4510/5278] eta: 0:38:46 lr: 3.527292574168865e-05 loss: 0.1078 (0.1057) loss_seg: 0.1067 (0.1047) loss_lansim: 0.0564 (0.0872) loss_contra: 0.0134 (0.0136) time: 2.9326 data: 0.0059 max mem: 31630 Epoch: [12] [4520/5278] eta: 0:38:16 lr: 3.527070998966576e-05 loss: 0.1059 (0.1057) loss_seg: 0.1034 (0.1047) loss_lansim: 0.0564 (0.0872) loss_contra: 0.0142 (0.0137) time: 2.9373 data: 0.0059 max mem: 31630 Epoch: [12] [4530/5278] eta: 0:37:45 lr: 3.526849422217649e-05 loss: 0.1185 (0.1058) loss_seg: 0.1175 (0.1048) loss_lansim: 0.0564 (0.0872) loss_contra: 0.0142 (0.0137) time: 2.9384 data: 0.0059 max mem: 31630 Epoch: [12] [4540/5278] eta: 0:37:15 lr: 3.5266278439219656e-05 loss: 0.1186 (0.1058) loss_seg: 0.1175 (0.1048) loss_lansim: 0.0569 (0.0872) loss_contra: 0.0139 (0.0137) time: 2.9351 data: 0.0059 max mem: 31630 Epoch: [12] [4550/5278] eta: 0:36:44 lr: 3.526406264079407e-05 loss: 0.1188 (0.1059) loss_seg: 0.1178 (0.1049) loss_lansim: 0.0593 (0.0872) loss_contra: 0.0150 (0.0140) time: 2.9414 data: 0.0059 max mem: 31630 Epoch: [12] [4560/5278] eta: 0:36:14 lr: 3.5261846826898535e-05 loss: 0.1220 (0.1060) loss_seg: 0.1214 (0.1050) loss_lansim: 0.0619 (0.0872) loss_contra: 0.0207 (0.0142) time: 2.9368 data: 0.0059 max mem: 31630 Epoch: [12] [4570/5278] eta: 0:35:44 lr: 3.525963099753187e-05 loss: 0.1188 (0.1060) loss_seg: 0.1175 (0.1050) loss_lansim: 0.0668 (0.0872) loss_contra: 0.0163 (0.0143) time: 2.9363 data: 0.0059 max mem: 31630 Epoch: [12] [4580/5278] eta: 0:35:13 lr: 3.5257415152692895e-05 loss: 0.1188 (0.1061) loss_seg: 0.1175 (0.1051) loss_lansim: 0.0708 (0.0871) loss_contra: 0.0182 (0.0144) time: 2.9429 data: 0.0059 max mem: 31630 Epoch: [12] [4590/5278] eta: 0:34:43 lr: 3.525519929238041e-05 loss: 0.1239 (0.1062) loss_seg: 0.1228 (0.1051) loss_lansim: 0.0718 (0.0871) loss_contra: 0.0182 (0.0144) time: 2.9430 data: 0.0059 max mem: 31630 Epoch: [12] [4600/5278] eta: 0:34:12 lr: 3.525298341659323e-05 loss: 0.1260 (0.1062) loss_seg: 0.1252 (0.1052) loss_lansim: 0.0722 (0.0870) loss_contra: 0.0182 (0.0145) time: 2.9404 data: 0.0059 max mem: 31630 Epoch: [12] [4610/5278] eta: 0:33:42 lr: 3.525076752533017e-05 loss: 0.1237 (0.1063) loss_seg: 0.1228 (0.1053) loss_lansim: 0.0732 (0.0870) loss_contra: 0.0204 (0.0145) time: 2.9433 data: 0.0059 max mem: 31630 Epoch: [12] [4620/5278] eta: 0:33:12 lr: 3.5248551618590024e-05 loss: 0.1235 (0.1063) loss_seg: 0.1226 (0.1053) loss_lansim: 0.0732 (0.0870) loss_contra: 0.0229 (0.0146) time: 2.9417 data: 0.0059 max mem: 31630 Epoch: [12] [4630/5278] eta: 0:32:41 lr: 3.524633569637162e-05 loss: 0.1223 (0.1063) loss_seg: 0.1216 (0.1053) loss_lansim: 0.0718 (0.0869) loss_contra: 0.0229 (0.0147) time: 2.9441 data: 0.0059 max mem: 31630 Epoch: [12] [4640/5278] eta: 0:32:11 lr: 3.524411975867378e-05 loss: 0.1217 (0.1064) loss_seg: 0.1209 (0.1054) loss_lansim: 0.0695 (0.0869) loss_contra: 0.0227 (0.0147) time: 2.9421 data: 0.0059 max mem: 31630 Epoch: [12] [4650/5278] eta: 0:31:40 lr: 3.524190380549527e-05 loss: 0.1186 (0.1065) loss_seg: 0.1174 (0.1055) loss_lansim: 0.0672 (0.0868) loss_contra: 0.0178 (0.0147) time: 2.9387 data: 0.0059 max mem: 31630 Epoch: [12] [4660/5278] eta: 0:31:10 lr: 3.5239687836834954e-05 loss: 0.1180 (0.1065) loss_seg: 0.1170 (0.1055) loss_lansim: 0.0654 (0.0867) loss_contra: 0.0155 (0.0147) time: 2.9393 data: 0.0059 max mem: 31630 Epoch: [12] [4670/5278] eta: 0:30:40 lr: 3.5237471852691605e-05 loss: 0.1178 (0.1065) loss_seg: 0.1170 (0.1055) loss_lansim: 0.0629 (0.0867) loss_contra: 0.0114 (0.0147) time: 2.9392 data: 0.0059 max mem: 31630 Epoch: [12] [4680/5278] eta: 0:30:09 lr: 3.523525585306405e-05 loss: 0.1173 (0.1065) loss_seg: 0.1165 (0.1055) loss_lansim: 0.0612 (0.0866) loss_contra: 0.0091 (0.0147) time: 2.9335 data: 0.0059 max mem: 31630 Epoch: [12] [4690/5278] eta: 0:29:39 lr: 3.5233039837951094e-05 loss: 0.1150 (0.1065) loss_seg: 0.1142 (0.1055) loss_lansim: 0.0609 (0.0866) loss_contra: 0.0067 (0.0147) time: 2.9315 data: 0.0060 max mem: 31630 Epoch: [12] [4700/5278] eta: 0:29:08 lr: 3.5230823807351545e-05 loss: 0.1138 (0.1065) loss_seg: 0.1131 (0.1055) loss_lansim: 0.0600 (0.0865) loss_contra: 0.0056 (0.0147) time: 2.9344 data: 0.0060 max mem: 31630 Epoch: [12] [4710/5278] eta: 0:28:38 lr: 3.522860776126421e-05 loss: 0.1123 (0.1066) loss_seg: 0.1115 (0.1056) loss_lansim: 0.0586 (0.0864) loss_contra: 0.0056 (0.0148) time: 2.9323 data: 0.0060 max mem: 31630 Epoch: [12] [4720/5278] eta: 0:28:08 lr: 3.522639169968791e-05 loss: 0.1088 (0.1065) loss_seg: 0.1081 (0.1055) loss_lansim: 0.0577 (0.0864) loss_contra: 0.0050 (0.0148) time: 2.9311 data: 0.0060 max mem: 31630 Epoch: [12] [4730/5278] eta: 0:27:37 lr: 3.522417562262143e-05 loss: 0.1088 (0.1066) loss_seg: 0.1081 (0.1056) loss_lansim: 0.0574 (0.0863) loss_contra: 0.0045 (0.0148) time: 2.9325 data: 0.0060 max mem: 31630 Epoch: [12] [4740/5278] eta: 0:27:07 lr: 3.5221959530063613e-05 loss: 0.1102 (0.1066) loss_seg: 0.1097 (0.1056) loss_lansim: 0.0565 (0.0862) loss_contra: 0.0040 (0.0148) time: 2.9337 data: 0.0059 max mem: 31630 Epoch: [12] [4750/5278] eta: 0:26:37 lr: 3.521974342201324e-05 loss: 0.1098 (0.1067) loss_seg: 0.1092 (0.1057) loss_lansim: 0.0563 (0.0862) loss_contra: 0.0038 (0.0148) time: 2.9304 data: 0.0060 max mem: 31630 Epoch: [12] [4760/5278] eta: 0:26:06 lr: 3.5217527298469135e-05 loss: 0.1073 (0.1067) loss_seg: 0.1065 (0.1057) loss_lansim: 0.0561 (0.0861) loss_contra: 0.0035 (0.0149) time: 2.9289 data: 0.0059 max mem: 31630 Epoch: [12] [4770/5278] eta: 0:25:36 lr: 3.52153111594301e-05 loss: 0.1086 (0.1068) loss_seg: 0.1074 (0.1057) loss_lansim: 0.0557 (0.0861) loss_contra: 0.0035 (0.0149) time: 2.9263 data: 0.0059 max mem: 31630 Epoch: [12] [4780/5278] eta: 0:25:05 lr: 3.521309500489494e-05 loss: 0.1112 (0.1068) loss_seg: 0.1107 (0.1058) loss_lansim: 0.0543 (0.0860) loss_contra: 0.0044 (0.0149) time: 2.9170 data: 0.0059 max mem: 31630 Epoch: [12] [4790/5278] eta: 0:24:35 lr: 3.5210878834862465e-05 loss: 0.1112 (0.1068) loss_seg: 0.1105 (0.1058) loss_lansim: 0.0539 (0.0859) loss_contra: 0.0046 (0.0149) time: 2.9172 data: 0.0059 max mem: 31630 Epoch: [12] [4800/5278] eta: 0:24:05 lr: 3.520866264933149e-05 loss: 0.1120 (0.1068) loss_seg: 0.1114 (0.1058) loss_lansim: 0.0538 (0.0859) loss_contra: 0.0055 (0.0149) time: 2.9172 data: 0.0058 max mem: 31630 Epoch: [12] [4810/5278] eta: 0:23:34 lr: 3.5206446448300815e-05 loss: 0.1157 (0.1069) loss_seg: 0.1151 (0.1059) loss_lansim: 0.0532 (0.0858) loss_contra: 0.0049 (0.0149) time: 2.9110 data: 0.0058 max mem: 31630 Epoch: [12] [4820/5278] eta: 0:23:04 lr: 3.520423023176925e-05 loss: 0.1158 (0.1069) loss_seg: 0.1151 (0.1059) loss_lansim: 0.0532 (0.0857) loss_contra: 0.0051 (0.0149) time: 2.9069 data: 0.0058 max mem: 31630 Epoch: [12] [4830/5278] eta: 0:22:34 lr: 3.52020139997356e-05 loss: 0.1157 (0.1070) loss_seg: 0.1151 (0.1060) loss_lansim: 0.0525 (0.0856) loss_contra: 0.0049 (0.0149) time: 2.9013 data: 0.0058 max mem: 31630 Epoch: [12] [4840/5278] eta: 0:22:03 lr: 3.519979775219867e-05 loss: 0.1157 (0.1070) loss_seg: 0.1151 (0.1060) loss_lansim: 0.0521 (0.0856) loss_contra: 0.0055 (0.0149) time: 2.9026 data: 0.0059 max mem: 31630 Epoch: [12] [4850/5278] eta: 0:21:33 lr: 3.519758148915728e-05 loss: 0.1136 (0.1070) loss_seg: 0.1131 (0.1060) loss_lansim: 0.0513 (0.0855) loss_contra: 0.0051 (0.0149) time: 2.9040 data: 0.0059 max mem: 31630 Epoch: [12] [4860/5278] eta: 0:21:03 lr: 3.519536521061022e-05 loss: 0.1157 (0.1071) loss_seg: 0.1151 (0.1061) loss_lansim: 0.0507 (0.0854) loss_contra: 0.0049 (0.0149) time: 2.9044 data: 0.0059 max mem: 31630 Epoch: [12] [4870/5278] eta: 0:20:32 lr: 3.519314891655632e-05 loss: 0.1141 (0.1071) loss_seg: 0.1135 (0.1061) loss_lansim: 0.0505 (0.0854) loss_contra: 0.0046 (0.0149) time: 2.9055 data: 0.0059 max mem: 31630 Epoch: [12] [4880/5278] eta: 0:20:02 lr: 3.519093260699435e-05 loss: 0.1128 (0.1071) loss_seg: 0.1123 (0.1061) loss_lansim: 0.0507 (0.0853) loss_contra: 0.0042 (0.0149) time: 2.9143 data: 0.0059 max mem: 31630 Epoch: [12] [4890/5278] eta: 0:19:32 lr: 3.5188716281923154e-05 loss: 0.1128 (0.1071) loss_seg: 0.1123 (0.1061) loss_lansim: 0.0507 (0.0852) loss_contra: 0.0040 (0.0149) time: 2.9106 data: 0.0059 max mem: 31630 Epoch: [12] [4900/5278] eta: 0:19:02 lr: 3.518649994134152e-05 loss: 0.1102 (0.1072) loss_seg: 0.1095 (0.1062) loss_lansim: 0.0507 (0.0852) loss_contra: 0.0033 (0.0149) time: 2.9115 data: 0.0059 max mem: 31630 Epoch: [12] [4910/5278] eta: 0:18:31 lr: 3.518428358524825e-05 loss: 0.1100 (0.1072) loss_seg: 0.1094 (0.1062) loss_lansim: 0.0505 (0.0851) loss_contra: 0.0027 (0.0148) time: 2.9135 data: 0.0059 max mem: 31630 Epoch: [12] [4920/5278] eta: 0:18:01 lr: 3.518206721364215e-05 loss: 0.1091 (0.1072) loss_seg: 0.1084 (0.1062) loss_lansim: 0.0502 (0.0850) loss_contra: 0.0025 (0.0148) time: 2.9149 data: 0.0059 max mem: 31630 Epoch: [12] [4930/5278] eta: 0:17:31 lr: 3.517985082652204e-05 loss: 0.1091 (0.1072) loss_seg: 0.1084 (0.1062) loss_lansim: 0.0511 (0.0850) loss_contra: 0.0025 (0.0149) time: 2.9209 data: 0.0059 max mem: 31630 Epoch: [12] [4940/5278] eta: 0:17:00 lr: 3.51776344238867e-05 loss: 0.1072 (0.1072) loss_seg: 0.1055 (0.1062) loss_lansim: 0.0511 (0.0849) loss_contra: 0.0021 (0.0149) time: 2.9242 data: 0.0059 max mem: 31630 Epoch: [12] [4950/5278] eta: 0:16:30 lr: 3.5175418005734967e-05 loss: 0.1072 (0.1072) loss_seg: 0.1055 (0.1062) loss_lansim: 0.0502 (0.0848) loss_contra: 0.0025 (0.0149) time: 2.9270 data: 0.0059 max mem: 31630 Epoch: [12] [4960/5278] eta: 0:16:00 lr: 3.517320157206563e-05 loss: 0.1025 (0.1072) loss_seg: 0.1020 (0.1063) loss_lansim: 0.0497 (0.0848) loss_contra: 0.0025 (0.0149) time: 2.9344 data: 0.0058 max mem: 31630 Epoch: [12] [4970/5278] eta: 0:15:30 lr: 3.517098512287749e-05 loss: 0.1025 (0.1073) loss_seg: 0.1020 (0.1063) loss_lansim: 0.0492 (0.0847) loss_contra: 0.0025 (0.0149) time: 2.9302 data: 0.0058 max mem: 31630 Epoch: [12] [4980/5278] eta: 0:14:59 lr: 3.5168768658169354e-05 loss: 0.1024 (0.1073) loss_seg: 0.1016 (0.1063) loss_lansim: 0.0488 (0.0846) loss_contra: 0.0023 (0.0149) time: 2.9337 data: 0.0058 max mem: 31630 Epoch: [12] [4990/5278] eta: 0:14:29 lr: 3.5166552177940025e-05 loss: 0.1005 (0.1073) loss_seg: 0.1000 (0.1063) loss_lansim: 0.0483 (0.0845) loss_contra: 0.0023 (0.0149) time: 2.9400 data: 0.0059 max mem: 31630 Epoch: [12] [5000/5278] eta: 0:13:59 lr: 3.5164335682188315e-05 loss: 0.1005 (0.1073) loss_seg: 0.1000 (0.1063) loss_lansim: 0.0483 (0.0845) loss_contra: 0.0021 (0.0149) time: 2.9381 data: 0.0059 max mem: 31630 Epoch: [12] [5010/5278] eta: 0:13:29 lr: 3.516211917091303e-05 loss: 0.0973 (0.1073) loss_seg: 0.0968 (0.1063) loss_lansim: 0.0480 (0.0844) loss_contra: 0.0020 (0.0148) time: 2.9410 data: 0.0058 max mem: 31630 Epoch: [12] [5020/5278] eta: 0:12:58 lr: 3.515990264411296e-05 loss: 0.1005 (0.1073) loss_seg: 0.1000 (0.1063) loss_lansim: 0.0479 (0.0843) loss_contra: 0.0020 (0.0148) time: 2.9453 data: 0.0059 max mem: 31630 Epoch: [12] [5030/5278] eta: 0:12:28 lr: 3.515768610178692e-05 loss: 0.1005 (0.1073) loss_seg: 0.1001 (0.1063) loss_lansim: 0.0474 (0.0843) loss_contra: 0.0020 (0.0148) time: 2.9423 data: 0.0059 max mem: 31630 Epoch: [12] [5040/5278] eta: 0:11:58 lr: 3.515546954393371e-05 loss: 0.1046 (0.1073) loss_seg: 0.1040 (0.1063) loss_lansim: 0.0473 (0.0842) loss_contra: 0.0017 (0.0148) time: 2.9380 data: 0.0059 max mem: 31630 Epoch: [12] [5050/5278] eta: 0:11:28 lr: 3.5153252970552126e-05 loss: 0.1026 (0.1073) loss_seg: 0.1019 (0.1063) loss_lansim: 0.0471 (0.0841) loss_contra: 0.0014 (0.0149) time: 2.9384 data: 0.0059 max mem: 31630 Epoch: [12] [5060/5278] eta: 0:10:58 lr: 3.515103638164098e-05 loss: 0.1026 (0.1073) loss_seg: 0.1019 (0.1063) loss_lansim: 0.0467 (0.0840) loss_contra: 0.0014 (0.0149) time: 2.9332 data: 0.0059 max mem: 31630 Epoch: [12] [5070/5278] eta: 0:10:27 lr: 3.5148819777199075e-05 loss: 0.1034 (0.1074) loss_seg: 0.1028 (0.1064) loss_lansim: 0.0480 (0.0840) loss_contra: 0.0012 (0.0149) time: 2.9375 data: 0.0059 max mem: 31630 Epoch: [12] [5080/5278] eta: 0:09:57 lr: 3.514660315722522e-05 loss: 0.1026 (0.1074) loss_seg: 0.1019 (0.1064) loss_lansim: 0.0489 (0.0839) loss_contra: 0.0014 (0.0148) time: 2.9346 data: 0.0059 max mem: 31630 Epoch: [12] [5090/5278] eta: 0:09:27 lr: 3.514438652171821e-05 loss: 0.1053 (0.1074) loss_seg: 0.1040 (0.1064) loss_lansim: 0.0500 (0.0839) loss_contra: 0.0014 (0.0148) time: 2.9280 data: 0.0059 max mem: 31630 Epoch: [12] [5100/5278] eta: 0:08:57 lr: 3.514216987067684e-05 loss: 0.1056 (0.1074) loss_seg: 0.1049 (0.1064) loss_lansim: 0.0504 (0.0838) loss_contra: 0.0015 (0.0148) time: 2.9314 data: 0.0059 max mem: 31630 Epoch: [12] [5110/5278] eta: 0:08:26 lr: 3.513995320409993e-05 loss: 0.1057 (0.1074) loss_seg: 0.1052 (0.1064) loss_lansim: 0.0504 (0.0838) loss_contra: 0.0016 (0.0148) time: 2.9304 data: 0.0059 max mem: 31630 Epoch: [12] [5120/5278] eta: 0:07:56 lr: 3.513773652198626e-05 loss: 0.1057 (0.1075) loss_seg: 0.1052 (0.1065) loss_lansim: 0.0509 (0.0837) loss_contra: 0.0016 (0.0148) time: 2.9299 data: 0.0059 max mem: 31630 Epoch: [12] [5130/5278] eta: 0:07:26 lr: 3.5135519824334654e-05 loss: 0.1056 (0.1075) loss_seg: 0.1049 (0.1065) loss_lansim: 0.0507 (0.0836) loss_contra: 0.0016 (0.0148) time: 2.9317 data: 0.0058 max mem: 31630 Epoch: [12] [5140/5278] eta: 0:06:56 lr: 3.513330311114391e-05 loss: 0.1034 (0.1076) loss_seg: 0.1028 (0.1066) loss_lansim: 0.0507 (0.0836) loss_contra: 0.0017 (0.0149) time: 2.9338 data: 0.0058 max mem: 31630 Epoch: [12] [5150/5278] eta: 0:06:26 lr: 3.513108638241281e-05 loss: 0.1053 (0.1076) loss_seg: 0.1049 (0.1066) loss_lansim: 0.0507 (0.0835) loss_contra: 0.0022 (0.0149) time: 2.9344 data: 0.0058 max mem: 31630 Epoch: [12] [5160/5278] eta: 0:05:56 lr: 3.5128869638140186e-05 loss: 0.1056 (0.1076) loss_seg: 0.1050 (0.1066) loss_lansim: 0.0504 (0.0834) loss_contra: 0.0025 (0.0149) time: 2.9393 data: 0.0058 max mem: 31630 Epoch: [12] [5170/5278] eta: 0:05:25 lr: 3.51266528783248e-05 loss: 0.1053 (0.1076) loss_seg: 0.1049 (0.1066) loss_lansim: 0.0501 (0.0834) loss_contra: 0.0025 (0.0148) time: 2.9394 data: 0.0059 max mem: 31630 Epoch: [12] [5180/5278] eta: 0:04:55 lr: 3.51244361029655e-05 loss: 0.1053 (0.1076) loss_seg: 0.1047 (0.1066) loss_lansim: 0.0497 (0.0833) loss_contra: 0.0021 (0.0148) time: 2.9342 data: 0.0058 max mem: 31630 Epoch: [12] [5190/5278] eta: 0:04:25 lr: 3.512221931206106e-05 loss: 0.1021 (0.1076) loss_seg: 0.1013 (0.1066) loss_lansim: 0.0500 (0.0832) loss_contra: 0.0020 (0.0148) time: 2.9401 data: 0.0058 max mem: 31630 Epoch: [12] [5200/5278] eta: 0:03:55 lr: 3.512000250561027e-05 loss: 0.1016 (0.1076) loss_seg: 0.1010 (0.1066) loss_lansim: 0.0497 (0.0832) loss_contra: 0.0020 (0.0148) time: 2.9337 data: 0.0058 max mem: 31630 Epoch: [12] [5210/5278] eta: 0:03:25 lr: 3.511778568361195e-05 loss: 0.1001 (0.1076) loss_seg: 0.0995 (0.1066) loss_lansim: 0.0497 (0.0831) loss_contra: 0.0017 (0.0148) time: 2.9382 data: 0.0058 max mem: 31630 Epoch: [12] [5220/5278] eta: 0:02:54 lr: 3.51155688460649e-05 loss: 0.1008 (0.1076) loss_seg: 0.1003 (0.1066) loss_lansim: 0.0497 (0.0831) loss_contra: 0.0018 (0.0148) time: 2.9370 data: 0.0058 max mem: 31630 Epoch: [12] [5230/5278] eta: 0:02:24 lr: 3.5113351992967916e-05 loss: 0.1008 (0.1076) loss_seg: 0.1003 (0.1066) loss_lansim: 0.0487 (0.0830) loss_contra: 0.0015 (0.0147) time: 2.9363 data: 0.0058 max mem: 31630 Epoch: [12] [5240/5278] eta: 0:01:54 lr: 3.51111351243198e-05 loss: 0.1008 (0.1076) loss_seg: 0.1003 (0.1066) loss_lansim: 0.0489 (0.0829) loss_contra: 0.0014 (0.0148) time: 2.9336 data: 0.0058 max mem: 31630 Epoch: [12] [5250/5278] eta: 0:01:24 lr: 3.510891824011934e-05 loss: 0.1021 (0.1077) loss_seg: 0.1013 (0.1067) loss_lansim: 0.0491 (0.0829) loss_contra: 0.0012 (0.0148) time: 2.9325 data: 0.0058 max mem: 31630 Epoch: [12] [5260/5278] eta: 0:00:54 lr: 3.5106701340365346e-05 loss: 0.1035 (0.1077) loss_seg: 0.1030 (0.1067) loss_lansim: 0.0494 (0.0828) loss_contra: 0.0012 (0.0148) time: 2.9278 data: 0.0058 max mem: 31630 Epoch: [12] [5270/5278] eta: 0:00:24 lr: 3.510448442505662e-05 loss: 0.1035 (0.1077) loss_seg: 0.1030 (0.1067) loss_lansim: 0.0489 (0.0827) loss_contra: 0.0012 (0.0147) time: 2.9265 data: 0.0058 max mem: 31630 Epoch: [12] Total time: 4:25:13 Test: [ 0/2573] eta: 1:02:20 time: 1.4538 data: 1.2252 max mem: 31630 Test: [ 100/2573] eta: 0:06:23 time: 0.1423 data: 0.0017 max mem: 31630 Test: [ 200/2573] eta: 0:05:58 time: 0.1466 data: 0.0016 max mem: 31630 Test: [ 300/2573] eta: 0:05:36 time: 0.1427 data: 0.0016 max mem: 31630 Test: [ 400/2573] eta: 0:05:19 time: 0.1439 data: 0.0016 max mem: 31630 Test: [ 500/2573] eta: 0:05:04 time: 0.1449 data: 0.0016 max mem: 31630 Test: [ 600/2573] eta: 0:04:49 time: 0.1462 data: 0.0016 max mem: 31630 Test: [ 700/2573] eta: 0:04:35 time: 0.1498 data: 0.0016 max mem: 31630 Test: [ 800/2573] eta: 0:04:20 time: 0.1475 data: 0.0016 max mem: 31630 Test: [ 900/2573] eta: 0:04:06 time: 0.1472 data: 0.0016 max mem: 31630 Test: [1000/2573] eta: 0:03:51 time: 0.1457 data: 0.0016 max mem: 31630 Test: [1100/2573] eta: 0:03:36 time: 0.1452 data: 0.0016 max mem: 31630 Test: [1200/2573] eta: 0:03:21 time: 0.1470 data: 0.0016 max mem: 31630 Test: [1300/2573] eta: 0:03:06 time: 0.1464 data: 0.0016 max mem: 31630 Test: [1400/2573] eta: 0:02:51 time: 0.1423 data: 0.0016 max mem: 31630 Test: [1500/2573] eta: 0:02:37 time: 0.1469 data: 0.0016 max mem: 31630 Test: [1600/2573] eta: 0:02:22 time: 0.1464 data: 0.0017 max mem: 31630 Test: [1700/2573] eta: 0:02:07 time: 0.1464 data: 0.0016 max mem: 31630 Test: [1800/2573] eta: 0:01:53 time: 0.1443 data: 0.0016 max mem: 31630 Test: [1900/2573] eta: 0:01:38 time: 0.1425 data: 0.0016 max mem: 31630 Test: [2000/2573] eta: 0:01:23 time: 0.1423 data: 0.0016 max mem: 31630 Test: [2100/2573] eta: 0:01:09 time: 0.1469 data: 0.0016 max mem: 31630 Test: [2200/2573] eta: 0:00:54 time: 0.1413 data: 0.0016 max mem: 31630 Test: [2300/2573] eta: 0:00:39 time: 0.1474 data: 0.0016 max mem: 31630 Test: [2400/2573] eta: 0:00:25 time: 0.1452 data: 0.0016 max mem: 31630 Test: [2500/2573] eta: 0:00:10 time: 0.1474 data: 0.0016 max mem: 31630 Test: Total time: 0:06:15 Final results: precision@0.5 = 61.44 precision@0.6 = 55.90 precision@0.7 = 47.26 precision@0.8 = 35.21 precision@0.9 = 14.99 overall IoU = 54.49 mean IoU = 54.71 Epoch: [13] [ 0/5278] eta: 7:12:59 lr: 3.510271088160942e-05 loss: 0.1079 (0.1079) loss_seg: 0.1074 (0.1074) loss_lansim: 0.0493 (0.0493) loss_contra: 0.0025 (0.0025) time: 4.9222 data: 1.6823 max mem: 31630 Epoch: [13] [ 10/5278] eta: 4:39:16 lr: 3.510049393829914e-05 loss: 0.1030 (0.1068) loss_seg: 0.1024 (0.1061) loss_lansim: 0.0493 (0.0486) loss_contra: 0.0027 (0.0233) time: 3.1809 data: 0.1576 max mem: 31630 Epoch: [13] [ 20/5278] eta: 4:28:31 lr: 3.509827697943078e-05 loss: 0.1027 (0.1031) loss_seg: 0.1022 (0.1024) loss_lansim: 0.0500 (0.0497) loss_contra: 0.0046 (0.0276) time: 3.0642 data: 0.0853 max mem: 31630 Epoch: [13] [ 30/5278] eta: 4:23:38 lr: 3.50960600050031e-05 loss: 0.0993 (0.0989) loss_seg: 0.0983 (0.0981) loss_lansim: 0.0485 (0.0491) loss_contra: 0.0046 (0.0243) time: 3.0142 data: 0.0599 max mem: 31630 Epoch: [13] [ 40/5278] eta: 4:21:38 lr: 3.509384301501493e-05 loss: 0.0993 (0.1000) loss_seg: 0.0983 (0.0991) loss_lansim: 0.0470 (0.0494) loss_contra: 0.0062 (0.0419) time: 2.9970 data: 0.0468 max mem: 31630 Epoch: [13] [ 50/5278] eta: 4:20:40 lr: 3.5091626009465064e-05 loss: 0.0993 (0.1009) loss_seg: 0.0983 (0.0999) loss_lansim: 0.0493 (0.0497) loss_contra: 0.0062 (0.0473) time: 2.9917 data: 0.0389 max mem: 31630 Epoch: [13] [ 60/5278] eta: 4:19:18 lr: 3.508940898835228e-05 loss: 0.0996 (0.1012) loss_seg: 0.0990 (0.1002) loss_lansim: 0.0477 (0.0497) loss_contra: 0.0059 (0.0431) time: 2.9817 data: 0.0337 max mem: 31630 Epoch: [13] [ 70/5278] eta: 4:18:51 lr: 3.5087191951675405e-05 loss: 0.0986 (0.1001) loss_seg: 0.0982 (0.0991) loss_lansim: 0.0477 (0.0500) loss_contra: 0.0062 (0.0448) time: 2.9822 data: 0.0298 max mem: 31630 Epoch: [13] [ 80/5278] eta: 4:18:04 lr: 3.508497489943321e-05 loss: 0.0986 (0.1007) loss_seg: 0.0982 (0.0998) loss_lansim: 0.0477 (0.0499) loss_contra: 0.0050 (0.0399) time: 2.9790 data: 0.0269 max mem: 31630 Epoch: [13] [ 90/5278] eta: 4:17:05 lr: 3.508275783162452e-05 loss: 0.0940 (0.0996) loss_seg: 0.0923 (0.0987) loss_lansim: 0.0477 (0.0505) loss_contra: 0.0050 (0.0365) time: 2.9733 data: 0.0246 max mem: 31630 Epoch: [13] [ 100/5278] eta: 4:16:38 lr: 3.508054074824812e-05 loss: 0.0949 (0.0996) loss_seg: 0.0935 (0.0987) loss_lansim: 0.0477 (0.0508) loss_contra: 0.0051 (0.0368) time: 2.9544 data: 0.0062 max mem: 31630 Epoch: [13] [ 110/5278] eta: 4:16:00 lr: 3.50783236493028e-05 loss: 0.0913 (0.0990) loss_seg: 0.0906 (0.0981) loss_lansim: 0.0485 (0.0512) loss_contra: 0.0051 (0.0343) time: 2.9492 data: 0.0062 max mem: 31630 Epoch: [13] [ 120/5278] eta: 4:15:00 lr: 3.5076106534787354e-05 loss: 0.0900 (0.0991) loss_seg: 0.0896 (0.0982) loss_lansim: 0.0477 (0.0511) loss_contra: 0.0050 (0.0325) time: 2.9459 data: 0.0063 max mem: 31630 Epoch: [13] [ 130/5278] eta: 4:14:26 lr: 3.5073889404700605e-05 loss: 0.0880 (0.0983) loss_seg: 0.0874 (0.0975) loss_lansim: 0.0495 (0.0510) loss_contra: 0.0050 (0.0310) time: 2.9504 data: 0.0062 max mem: 31630 Epoch: [13] [ 140/5278] eta: 4:13:53 lr: 3.507167225904132e-05 loss: 0.0878 (0.0975) loss_seg: 0.0874 (0.0967) loss_lansim: 0.0499 (0.0509) loss_contra: 0.0042 (0.0298) time: 2.9517 data: 0.0061 max mem: 31630 Epoch: [13] [ 150/5278] eta: 4:13:00 lr: 3.506945509780832e-05 loss: 0.0878 (0.0977) loss_seg: 0.0874 (0.0969) loss_lansim: 0.0477 (0.0504) loss_contra: 0.0031 (0.0280) time: 2.9443 data: 0.0060 max mem: 31630 Epoch: [13] [ 160/5278] eta: 4:12:25 lr: 3.506723792100039e-05 loss: 0.0878 (0.0973) loss_seg: 0.0874 (0.0966) loss_lansim: 0.0477 (0.0501) loss_contra: 0.0035 (0.0267) time: 2.9457 data: 0.0059 max mem: 31630 Epoch: [13] [ 170/5278] eta: 4:11:50 lr: 3.5065020728616324e-05 loss: 0.0878 (0.0976) loss_seg: 0.0874 (0.0969) loss_lansim: 0.0466 (0.0497) loss_contra: 0.0027 (0.0257) time: 2.9412 data: 0.0059 max mem: 31630 Epoch: [13] [ 180/5278] eta: 4:11:15 lr: 3.506280352065492e-05 loss: 0.0876 (0.0977) loss_seg: 0.0871 (0.0970) loss_lansim: 0.0455 (0.0493) loss_contra: 0.0029 (0.0245) time: 2.9395 data: 0.0058 max mem: 31630 Epoch: [13] [ 190/5278] eta: 4:10:42 lr: 3.5060586297114976e-05 loss: 0.0881 (0.0971) loss_seg: 0.0876 (0.0964) loss_lansim: 0.0444 (0.0490) loss_contra: 0.0031 (0.0236) time: 2.9410 data: 0.0058 max mem: 31630 Epoch: [13] [ 200/5278] eta: 4:09:58 lr: 3.505836905799529e-05 loss: 0.0896 (0.0984) loss_seg: 0.0892 (0.0976) loss_lansim: 0.0436 (0.0487) loss_contra: 0.0025 (0.0231) time: 2.9333 data: 0.0057 max mem: 31630 Epoch: [13] [ 210/5278] eta: 4:09:34 lr: 3.505615180329466e-05 loss: 0.0896 (0.0989) loss_seg: 0.0892 (0.0982) loss_lansim: 0.0431 (0.0484) loss_contra: 0.0026 (0.0225) time: 2.9352 data: 0.0057 max mem: 31630 Epoch: [13] [ 220/5278] eta: 4:09:01 lr: 3.505393453301186e-05 loss: 0.0922 (0.1000) loss_seg: 0.0917 (0.0993) loss_lansim: 0.0429 (0.0482) loss_contra: 0.0026 (0.0220) time: 2.9389 data: 0.0057 max mem: 31630 Epoch: [13] [ 230/5278] eta: 4:08:18 lr: 3.5051717247145717e-05 loss: 0.0911 (0.0993) loss_seg: 0.0905 (0.0986) loss_lansim: 0.0423 (0.0479) loss_contra: 0.0022 (0.0214) time: 2.9330 data: 0.0057 max mem: 31630 Epoch: [13] [ 240/5278] eta: 4:07:49 lr: 3.504949994569501e-05 loss: 0.0911 (0.0986) loss_seg: 0.0904 (0.0979) loss_lansim: 0.0420 (0.0478) loss_contra: 0.0024 (0.0207) time: 2.9325 data: 0.0057 max mem: 31630 Epoch: [13] [ 250/5278] eta: 4:07:16 lr: 3.5047282628658526e-05 loss: 0.0904 (0.0983) loss_seg: 0.0895 (0.0976) loss_lansim: 0.0420 (0.0477) loss_contra: 0.0029 (0.0215) time: 2.9364 data: 0.0057 max mem: 31630 Epoch: [13] [ 260/5278] eta: 4:06:42 lr: 3.5045065296035086e-05 loss: 0.0899 (0.0977) loss_seg: 0.0883 (0.0971) loss_lansim: 0.0414 (0.0473) loss_contra: 0.0028 (0.0209) time: 2.9349 data: 0.0057 max mem: 31630 Epoch: [13] [ 270/5278] eta: 4:06:12 lr: 3.5042847947823455e-05 loss: 0.0886 (0.0972) loss_seg: 0.0883 (0.0965) loss_lansim: 0.0407 (0.0469) loss_contra: 0.0028 (0.0205) time: 2.9354 data: 0.0057 max mem: 31630 Epoch: [13] [ 280/5278] eta: 4:05:47 lr: 3.504063058402244e-05 loss: 0.0876 (0.0966) loss_seg: 0.0872 (0.0960) loss_lansim: 0.0407 (0.0467) loss_contra: 0.0026 (0.0200) time: 2.9388 data: 0.0058 max mem: 31630 Epoch: [13] [ 290/5278] eta: 4:05:12 lr: 3.5038413204630836e-05 loss: 0.0883 (0.0967) loss_seg: 0.0873 (0.0960) loss_lansim: 0.0402 (0.0466) loss_contra: 0.0022 (0.0199) time: 2.9367 data: 0.0057 max mem: 31630 Epoch: [13] [ 300/5278] eta: 4:04:50 lr: 3.5036195809647435e-05 loss: 0.0844 (0.0964) loss_seg: 0.0839 (0.0957) loss_lansim: 0.0400 (0.0465) loss_contra: 0.0022 (0.0193) time: 2.9459 data: 0.0058 max mem: 31630 Epoch: [13] [ 310/5278] eta: 4:04:16 lr: 3.5033978399071045e-05 loss: 0.0844 (0.0960) loss_seg: 0.0839 (0.0953) loss_lansim: 0.0400 (0.0463) loss_contra: 0.0022 (0.0194) time: 2.9407 data: 0.0058 max mem: 31630 Epoch: [13] [ 320/5278] eta: 4:03:46 lr: 3.503176097290043e-05 loss: 0.0843 (0.0964) loss_seg: 0.0838 (0.0957) loss_lansim: 0.0399 (0.0462) loss_contra: 0.0023 (0.0190) time: 2.9413 data: 0.0057 max mem: 31630 Epoch: [13] [ 330/5278] eta: 4:03:20 lr: 3.502954353113441e-05 loss: 0.0843 (0.0962) loss_seg: 0.0838 (0.0955) loss_lansim: 0.0401 (0.0461) loss_contra: 0.0024 (0.0185) time: 2.9495 data: 0.0057 max mem: 31630 Epoch: [13] [ 340/5278] eta: 4:02:46 lr: 3.502732607377177e-05 loss: 0.0852 (0.0958) loss_seg: 0.0843 (0.0952) loss_lansim: 0.0399 (0.0460) loss_contra: 0.0022 (0.0180) time: 2.9463 data: 0.0057 max mem: 31630 Epoch: [13] [ 350/5278] eta: 4:02:16 lr: 3.50251086008113e-05 loss: 0.0876 (0.0961) loss_seg: 0.0870 (0.0955) loss_lansim: 0.0396 (0.0458) loss_contra: 0.0021 (0.0183) time: 2.9476 data: 0.0057 max mem: 31630 Epoch: [13] [ 360/5278] eta: 4:01:49 lr: 3.5022891112251796e-05 loss: 0.0883 (0.0965) loss_seg: 0.0873 (0.0958) loss_lansim: 0.0401 (0.0458) loss_contra: 0.0021 (0.0179) time: 2.9509 data: 0.0056 max mem: 31630 Epoch: [13] [ 370/5278] eta: 4:01:23 lr: 3.5020673608092055e-05 loss: 0.0878 (0.0961) loss_seg: 0.0870 (0.0955) loss_lansim: 0.0411 (0.0457) loss_contra: 0.0022 (0.0176) time: 2.9542 data: 0.0056 max mem: 31630 Epoch: [13] [ 380/5278] eta: 4:00:48 lr: 3.5018456088330855e-05 loss: 0.0895 (0.0969) loss_seg: 0.0890 (0.0963) loss_lansim: 0.0418 (0.0457) loss_contra: 0.0017 (0.0172) time: 2.9473 data: 0.0056 max mem: 31630 Epoch: [13] [ 390/5278] eta: 4:00:15 lr: 3.5016238552967004e-05 loss: 0.0895 (0.0971) loss_seg: 0.0890 (0.0964) loss_lansim: 0.0416 (0.0458) loss_contra: 0.0015 (0.0169) time: 2.9481 data: 0.0056 max mem: 31630 Epoch: [13] [ 400/5278] eta: 3:59:50 lr: 3.5014021001999294e-05 loss: 0.0919 (0.0971) loss_seg: 0.0915 (0.0964) loss_lansim: 0.0420 (0.0458) loss_contra: 0.0015 (0.0166) time: 2.9474 data: 0.0056 max mem: 31630 Epoch: [13] [ 410/5278] eta: 3:59:19 lr: 3.5011803435426506e-05 loss: 0.0919 (0.0972) loss_seg: 0.0915 (0.0966) loss_lansim: 0.0425 (0.0458) loss_contra: 0.0020 (0.0165) time: 2.9485 data: 0.0056 max mem: 31630 Epoch: [13] [ 420/5278] eta: 3:58:42 lr: 3.500958585324744e-05 loss: 0.0889 (0.0974) loss_seg: 0.0884 (0.0968) loss_lansim: 0.0427 (0.0458) loss_contra: 0.0014 (0.0161) time: 2.9426 data: 0.0056 max mem: 31630 Epoch: [13] [ 430/5278] eta: 3:58:16 lr: 3.500736825546087e-05 loss: 0.0895 (0.0974) loss_seg: 0.0890 (0.0968) loss_lansim: 0.0424 (0.0457) loss_contra: 0.0014 (0.0159) time: 2.9426 data: 0.0056 max mem: 31630 Epoch: [13] [ 440/5278] eta: 3:57:40 lr: 3.500515064206563e-05 loss: 0.0919 (0.0972) loss_seg: 0.0915 (0.0966) loss_lansim: 0.0428 (0.0458) loss_contra: 0.0015 (0.0160) time: 2.9393 data: 0.0056 max mem: 31630 Epoch: [13] [ 450/5278] eta: 3:57:09 lr: 3.500293301306047e-05 loss: 0.0865 (0.0968) loss_seg: 0.0859 (0.0962) loss_lansim: 0.0439 (0.0459) loss_contra: 0.0015 (0.0158) time: 2.9381 data: 0.0056 max mem: 31630 Epoch: [13] [ 460/5278] eta: 3:56:37 lr: 3.5000715368444193e-05 loss: 0.0850 (0.0963) loss_seg: 0.0844 (0.0957) loss_lansim: 0.0431 (0.0457) loss_contra: 0.0017 (0.0156) time: 2.9344 data: 0.0057 max mem: 31630 Epoch: [13] [ 470/5278] eta: 3:56:04 lr: 3.4998497708215596e-05 loss: 0.0850 (0.0960) loss_seg: 0.0844 (0.0954) loss_lansim: 0.0428 (0.0455) loss_contra: 0.0015 (0.0158) time: 2.9276 data: 0.0057 max mem: 31630 Epoch: [13] [ 480/5278] eta: 3:55:32 lr: 3.499628003237347e-05 loss: 0.0845 (0.0961) loss_seg: 0.0841 (0.0955) loss_lansim: 0.0420 (0.0452) loss_contra: 0.0024 (0.0156) time: 2.9292 data: 0.0057 max mem: 31630 Epoch: [13] [ 490/5278] eta: 3:55:03 lr: 3.4994062340916606e-05 loss: 0.0829 (0.0961) loss_seg: 0.0824 (0.0955) loss_lansim: 0.0400 (0.0450) loss_contra: 0.0025 (0.0154) time: 2.9318 data: 0.0057 max mem: 31630 Epoch: [13] [ 500/5278] eta: 3:54:32 lr: 3.499184463384379e-05 loss: 0.0850 (0.0970) loss_seg: 0.0844 (0.0964) loss_lansim: 0.0383 (0.0448) loss_contra: 0.0025 (0.0170) time: 2.9252 data: 0.0057 max mem: 31630 Epoch: [13] [ 510/5278] eta: 3:53:58 lr: 3.49896269111538e-05 loss: 0.0855 (0.0970) loss_seg: 0.0850 (0.0964) loss_lansim: 0.0376 (0.0446) loss_contra: 0.0024 (0.0173) time: 2.9223 data: 0.0057 max mem: 31630 Epoch: [13] [ 520/5278] eta: 3:53:30 lr: 3.4987409172845456e-05 loss: 0.0864 (0.0972) loss_seg: 0.0859 (0.0966) loss_lansim: 0.0369 (0.0446) loss_contra: 0.0029 (0.0195) time: 2.9291 data: 0.0057 max mem: 31630 Epoch: [13] [ 530/5278] eta: 3:52:59 lr: 3.4985191418917526e-05 loss: 0.0878 (0.0977) loss_seg: 0.0874 (0.0971) loss_lansim: 0.0365 (0.0445) loss_contra: 0.0035 (0.0208) time: 2.9241 data: 0.0057 max mem: 31630 Epoch: [13] [ 540/5278] eta: 3:52:25 lr: 3.49829736493688e-05 loss: 0.0879 (0.0979) loss_seg: 0.0874 (0.0973) loss_lansim: 0.0360 (0.0444) loss_contra: 0.0039 (0.0215) time: 2.9252 data: 0.0057 max mem: 31630 Epoch: [13] [ 550/5278] eta: 3:52:00 lr: 3.4980755864198076e-05 loss: 0.0880 (0.0983) loss_seg: 0.0877 (0.0976) loss_lansim: 0.0359 (0.0444) loss_contra: 0.0045 (0.0216) time: 2.9307 data: 0.0057 max mem: 31630 Epoch: [13] [ 560/5278] eta: 3:51:34 lr: 3.4978538063404144e-05 loss: 0.0894 (0.0985) loss_seg: 0.0886 (0.0979) loss_lansim: 0.0359 (0.0443) loss_contra: 0.0050 (0.0216) time: 2.9364 data: 0.0057 max mem: 31630 Epoch: [13] [ 570/5278] eta: 3:51:01 lr: 3.497632024698579e-05 loss: 0.0922 (0.0986) loss_seg: 0.0891 (0.0980) loss_lansim: 0.0359 (0.0442) loss_contra: 0.0069 (0.0217) time: 2.9358 data: 0.0058 max mem: 31630 Epoch: [13] [ 580/5278] eta: 3:50:30 lr: 3.4974102414941796e-05 loss: 0.0941 (0.0986) loss_seg: 0.0920 (0.0979) loss_lansim: 0.0363 (0.0440) loss_contra: 0.0049 (0.0214) time: 2.9359 data: 0.0058 max mem: 31630 Epoch: [13] [ 590/5278] eta: 3:50:00 lr: 3.497188456727096e-05 loss: 0.0942 (0.0988) loss_seg: 0.0937 (0.0981) loss_lansim: 0.0364 (0.0439) loss_contra: 0.0049 (0.0210) time: 2.9345 data: 0.0057 max mem: 31630 Epoch: [13] [ 600/5278] eta: 3:49:30 lr: 3.4969666703972076e-05 loss: 0.0923 (0.0987) loss_seg: 0.0917 (0.0980) loss_lansim: 0.0364 (0.0438) loss_contra: 0.0046 (0.0207) time: 2.9362 data: 0.0057 max mem: 31630 Epoch: [13] [ 610/5278] eta: 3:48:56 lr: 3.496744882504392e-05 loss: 0.0923 (0.0985) loss_seg: 0.0917 (0.0978) loss_lansim: 0.0363 (0.0436) loss_contra: 0.0042 (0.0205) time: 2.9342 data: 0.0057 max mem: 31630 Epoch: [13] [ 620/5278] eta: 3:48:28 lr: 3.496523093048528e-05 loss: 0.0920 (0.0986) loss_seg: 0.0917 (0.0979) loss_lansim: 0.0360 (0.0435) loss_contra: 0.0035 (0.0202) time: 2.9347 data: 0.0057 max mem: 31630 Epoch: [13] [ 630/5278] eta: 3:47:59 lr: 3.496301302029496e-05 loss: 0.0907 (0.0986) loss_seg: 0.0903 (0.0979) loss_lansim: 0.0360 (0.0434) loss_contra: 0.0022 (0.0200) time: 2.9371 data: 0.0057 max mem: 31630 Epoch: [13] [ 640/5278] eta: 3:47:26 lr: 3.4960795094471725e-05 loss: 0.0880 (0.0985) loss_seg: 0.0874 (0.0979) loss_lansim: 0.0362 (0.0433) loss_contra: 0.0013 (0.0198) time: 2.9370 data: 0.0057 max mem: 31630 Epoch: [13] [ 650/5278] eta: 3:46:58 lr: 3.495857715301439e-05 loss: 0.0894 (0.0985) loss_seg: 0.0889 (0.0979) loss_lansim: 0.0363 (0.0435) loss_contra: 0.0011 (0.0195) time: 2.9336 data: 0.0057 max mem: 31630 Epoch: [13] [ 660/5278] eta: 3:46:30 lr: 3.495635919592172e-05 loss: 0.0920 (0.0986) loss_seg: 0.0917 (0.0979) loss_lansim: 0.0364 (0.0434) loss_contra: 0.0010 (0.0193) time: 2.9315 data: 0.0057 max mem: 31630 Epoch: [13] [ 670/5278] eta: 3:45:59 lr: 3.4954141223192514e-05 loss: 0.0920 (0.0985) loss_seg: 0.0917 (0.0978) loss_lansim: 0.0369 (0.0435) loss_contra: 0.0010 (0.0191) time: 2.9333 data: 0.0057 max mem: 31630 Epoch: [13] [ 680/5278] eta: 3:45:33 lr: 3.4951923234825556e-05 loss: 0.0916 (0.0984) loss_seg: 0.0908 (0.0978) loss_lansim: 0.0383 (0.0434) loss_contra: 0.0010 (0.0191) time: 2.9398 data: 0.0057 max mem: 31630 Epoch: [13] [ 690/5278] eta: 3:45:01 lr: 3.494970523081964e-05 loss: 0.0916 (0.0989) loss_seg: 0.0908 (0.0983) loss_lansim: 0.0385 (0.0434) loss_contra: 0.0011 (0.0188) time: 2.9370 data: 0.0058 max mem: 31630 Epoch: [13] [ 700/5278] eta: 3:44:31 lr: 3.494748721117353e-05 loss: 0.0916 (0.0990) loss_seg: 0.0912 (0.0983) loss_lansim: 0.0390 (0.0434) loss_contra: 0.0013 (0.0186) time: 2.9373 data: 0.0058 max mem: 31630 Epoch: [13] [ 710/5278] eta: 3:44:05 lr: 3.494526917588604e-05 loss: 0.0874 (0.0987) loss_seg: 0.0871 (0.0981) loss_lansim: 0.0397 (0.0434) loss_contra: 0.0013 (0.0186) time: 2.9472 data: 0.0058 max mem: 31630 Epoch: [13] [ 720/5278] eta: 3:43:34 lr: 3.494305112495594e-05 loss: 0.0916 (0.0988) loss_seg: 0.0912 (0.0982) loss_lansim: 0.0399 (0.0433) loss_contra: 0.0014 (0.0184) time: 2.9432 data: 0.0058 max mem: 31630 Epoch: [13] [ 730/5278] eta: 3:43:04 lr: 3.494083305838202e-05 loss: 0.0926 (0.0991) loss_seg: 0.0920 (0.0985) loss_lansim: 0.0401 (0.0433) loss_contra: 0.0014 (0.0194) time: 2.9411 data: 0.0058 max mem: 31630 Epoch: [13] [ 740/5278] eta: 3:42:34 lr: 3.4938614976163076e-05 loss: 0.0932 (0.0993) loss_seg: 0.0929 (0.0986) loss_lansim: 0.0409 (0.0433) loss_contra: 0.0019 (0.0197) time: 2.9456 data: 0.0058 max mem: 31630 Epoch: [13] [ 750/5278] eta: 3:42:00 lr: 3.493639687829788e-05 loss: 0.0948 (0.0994) loss_seg: 0.0944 (0.0988) loss_lansim: 0.0407 (0.0433) loss_contra: 0.0020 (0.0195) time: 2.9366 data: 0.0058 max mem: 31630 Epoch: [13] [ 760/5278] eta: 3:41:29 lr: 3.493417876478523e-05 loss: 0.0964 (0.0996) loss_seg: 0.0959 (0.0990) loss_lansim: 0.0402 (0.0432) loss_contra: 0.0025 (0.0195) time: 2.9315 data: 0.0057 max mem: 31630 Epoch: [13] [ 770/5278] eta: 3:41:00 lr: 3.49319606356239e-05 loss: 0.0994 (0.0998) loss_seg: 0.0990 (0.0992) loss_lansim: 0.0396 (0.0432) loss_contra: 0.0024 (0.0194) time: 2.9339 data: 0.0058 max mem: 31630 Epoch: [13] [ 780/5278] eta: 3:40:28 lr: 3.4929742490812686e-05 loss: 0.1021 (0.1000) loss_seg: 0.1017 (0.0994) loss_lansim: 0.0395 (0.0432) loss_contra: 0.0028 (0.0192) time: 2.9261 data: 0.0057 max mem: 31630 Epoch: [13] [ 790/5278] eta: 3:39:57 lr: 3.492752433035037e-05 loss: 0.1021 (0.1000) loss_seg: 0.1017 (0.0994) loss_lansim: 0.0395 (0.0431) loss_contra: 0.0031 (0.0192) time: 2.9248 data: 0.0057 max mem: 31630 Epoch: [13] [ 800/5278] eta: 3:39:24 lr: 3.492530615423572e-05 loss: 0.1003 (0.1001) loss_seg: 0.0997 (0.0995) loss_lansim: 0.0395 (0.0430) loss_contra: 0.0031 (0.0190) time: 2.9194 data: 0.0057 max mem: 31630 Epoch: [13] [ 810/5278] eta: 3:38:52 lr: 3.4923087962467555e-05 loss: 0.1022 (0.1000) loss_seg: 0.1019 (0.0994) loss_lansim: 0.0391 (0.0430) loss_contra: 0.0029 (0.0191) time: 2.9105 data: 0.0057 max mem: 31630 Epoch: [13] [ 820/5278] eta: 3:38:24 lr: 3.4920869755044635e-05 loss: 0.1028 (0.1002) loss_seg: 0.1024 (0.0996) loss_lansim: 0.0390 (0.0430) loss_contra: 0.0029 (0.0189) time: 2.9139 data: 0.0057 max mem: 31630 Epoch: [13] [ 830/5278] eta: 3:37:50 lr: 3.491865153196575e-05 loss: 0.1044 (0.1005) loss_seg: 0.1026 (0.0999) loss_lansim: 0.0391 (0.0429) loss_contra: 0.0031 (0.0193) time: 2.9077 data: 0.0057 max mem: 31630 Epoch: [13] [ 840/5278] eta: 3:37:18 lr: 3.491643329322969e-05 loss: 0.1022 (0.1004) loss_seg: 0.1019 (0.0998) loss_lansim: 0.0387 (0.0429) loss_contra: 0.0027 (0.0191) time: 2.9021 data: 0.0058 max mem: 31630 Epoch: [13] [ 850/5278] eta: 3:36:48 lr: 3.491421503883523e-05 loss: 0.1003 (0.1003) loss_seg: 0.0997 (0.0997) loss_lansim: 0.0388 (0.0428) loss_contra: 0.0021 (0.0190) time: 2.9082 data: 0.0058 max mem: 31630 Epoch: [13] [ 860/5278] eta: 3:36:15 lr: 3.491199676878116e-05 loss: 0.0977 (0.1003) loss_seg: 0.0972 (0.0997) loss_lansim: 0.0384 (0.0428) loss_contra: 0.0019 (0.0192) time: 2.9033 data: 0.0058 max mem: 31630 Epoch: [13] [ 870/5278] eta: 3:35:46 lr: 3.490977848306626e-05 loss: 0.0984 (0.1007) loss_seg: 0.0981 (0.1000) loss_lansim: 0.0377 (0.0427) loss_contra: 0.0021 (0.0190) time: 2.9028 data: 0.0058 max mem: 31630 Epoch: [13] [ 880/5278] eta: 3:35:17 lr: 3.4907560181689314e-05 loss: 0.0977 (0.1008) loss_seg: 0.0963 (0.1002) loss_lansim: 0.0373 (0.0426) loss_contra: 0.0021 (0.0194) time: 2.9061 data: 0.0058 max mem: 31630 Epoch: [13] [ 890/5278] eta: 3:34:47 lr: 3.4905341864649117e-05 loss: 0.0966 (0.1010) loss_seg: 0.0962 (0.1003) loss_lansim: 0.0374 (0.0426) loss_contra: 0.0021 (0.0197) time: 2.9087 data: 0.0058 max mem: 31630 Epoch: [13] [ 900/5278] eta: 3:34:17 lr: 3.490312353194444e-05 loss: 0.0969 (0.1009) loss_seg: 0.0966 (0.1003) loss_lansim: 0.0374 (0.0425) loss_contra: 0.0023 (0.0198) time: 2.9130 data: 0.0058 max mem: 31630 Epoch: [13] [ 910/5278] eta: 3:33:46 lr: 3.490090518357406e-05 loss: 0.0969 (0.1009) loss_seg: 0.0966 (0.1002) loss_lansim: 0.0370 (0.0425) loss_contra: 0.0036 (0.0200) time: 2.9129 data: 0.0059 max mem: 31630 Epoch: [13] [ 920/5278] eta: 3:33:12 lr: 3.489868681953679e-05 loss: 0.0972 (0.1011) loss_seg: 0.0968 (0.1004) loss_lansim: 0.0365 (0.0424) loss_contra: 0.0040 (0.0198) time: 2.9013 data: 0.0059 max mem: 31630 Epoch: [13] [ 930/5278] eta: 3:32:39 lr: 3.489646843983137e-05 loss: 0.0972 (0.1013) loss_seg: 0.0968 (0.1007) loss_lansim: 0.0356 (0.0423) loss_contra: 0.0047 (0.0198) time: 2.9016 data: 0.0059 max mem: 31630 Epoch: [13] [ 940/5278] eta: 3:32:05 lr: 3.489425004445662e-05 loss: 0.0976 (0.1014) loss_seg: 0.0972 (0.1008) loss_lansim: 0.0351 (0.0423) loss_contra: 0.0047 (0.0199) time: 2.8960 data: 0.0059 max mem: 31630 Epoch: [13] [ 950/5278] eta: 3:31:33 lr: 3.48920316334113e-05 loss: 0.0972 (0.1013) loss_seg: 0.0968 (0.1007) loss_lansim: 0.0351 (0.0422) loss_contra: 0.0052 (0.0199) time: 2.8910 data: 0.0059 max mem: 31630 Epoch: [13] [ 960/5278] eta: 3:30:59 lr: 3.48898132066942e-05 loss: 0.0976 (0.1014) loss_seg: 0.0972 (0.1008) loss_lansim: 0.0354 (0.0421) loss_contra: 0.0047 (0.0199) time: 2.8875 data: 0.0060 max mem: 31630 Epoch: [13] [ 970/5278] eta: 3:30:27 lr: 3.4887594764304105e-05 loss: 0.0966 (0.1013) loss_seg: 0.0962 (0.1006) loss_lansim: 0.0348 (0.0420) loss_contra: 0.0040 (0.0198) time: 2.8801 data: 0.0060 max mem: 31630 Epoch: [13] [ 980/5278] eta: 3:29:54 lr: 3.488537630623979e-05 loss: 0.0957 (0.1014) loss_seg: 0.0953 (0.1008) loss_lansim: 0.0347 (0.0420) loss_contra: 0.0035 (0.0196) time: 2.8714 data: 0.0060 max mem: 31630 Epoch: [13] [ 990/5278] eta: 3:29:22 lr: 3.488315783250004e-05 loss: 0.0923 (0.1014) loss_seg: 0.0919 (0.1008) loss_lansim: 0.0339 (0.0419) loss_contra: 0.0040 (0.0200) time: 2.8647 data: 0.0060 max mem: 31630 Epoch: [13] [1000/5278] eta: 3:28:49 lr: 3.488093934308365e-05 loss: 0.0931 (0.1013) loss_seg: 0.0927 (0.1007) loss_lansim: 0.0335 (0.0418) loss_contra: 0.0033 (0.0199) time: 2.8568 data: 0.0060 max mem: 31630 Epoch: [13] [1010/5278] eta: 3:28:17 lr: 3.487872083798936e-05 loss: 0.0931 (0.1012) loss_seg: 0.0927 (0.1006) loss_lansim: 0.0329 (0.0417) loss_contra: 0.0032 (0.0198) time: 2.8527 data: 0.0060 max mem: 31630 Epoch: [13] [1020/5278] eta: 3:27:45 lr: 3.4876502317216e-05 loss: 0.0913 (0.1012) loss_seg: 0.0909 (0.1006) loss_lansim: 0.0328 (0.0416) loss_contra: 0.0029 (0.0197) time: 2.8551 data: 0.0059 max mem: 31630 Epoch: [13] [1030/5278] eta: 3:27:12 lr: 3.487428378076233e-05 loss: 0.0899 (0.1010) loss_seg: 0.0895 (0.1004) loss_lansim: 0.0328 (0.0415) loss_contra: 0.0021 (0.0195) time: 2.8527 data: 0.0059 max mem: 31630 Epoch: [13] [1040/5278] eta: 3:26:44 lr: 3.487206522862713e-05 loss: 0.0917 (0.1012) loss_seg: 0.0912 (0.1006) loss_lansim: 0.0327 (0.0415) loss_contra: 0.0021 (0.0199) time: 2.8656 data: 0.0059 max mem: 31630 Epoch: [13] [1050/5278] eta: 3:26:15 lr: 3.486984666080918e-05 loss: 0.0931 (0.1013) loss_seg: 0.0927 (0.1007) loss_lansim: 0.0325 (0.0414) loss_contra: 0.0022 (0.0198) time: 2.8700 data: 0.0059 max mem: 31630 Epoch: [13] [1060/5278] eta: 3:25:45 lr: 3.4867628077307255e-05 loss: 0.0924 (0.1013) loss_seg: 0.0921 (0.1007) loss_lansim: 0.0319 (0.0413) loss_contra: 0.0025 (0.0196) time: 2.8794 data: 0.0059 max mem: 31630 Epoch: [13] [1070/5278] eta: 3:25:16 lr: 3.486540947812015e-05 loss: 0.0931 (0.1015) loss_seg: 0.0927 (0.1008) loss_lansim: 0.0320 (0.0412) loss_contra: 0.0026 (0.0196) time: 2.8862 data: 0.0059 max mem: 31630 Epoch: [13] [1080/5278] eta: 3:24:47 lr: 3.4863190863246636e-05 loss: 0.0924 (0.1013) loss_seg: 0.0921 (0.1007) loss_lansim: 0.0320 (0.0412) loss_contra: 0.0028 (0.0195) time: 2.8945 data: 0.0059 max mem: 31630 Epoch: [13] [1090/5278] eta: 3:24:20 lr: 3.4860972232685494e-05 loss: 0.0931 (0.1011) loss_seg: 0.0927 (0.1005) loss_lansim: 0.0317 (0.0411) loss_contra: 0.0026 (0.0194) time: 2.9059 data: 0.0059 max mem: 31630 Epoch: [13] [1100/5278] eta: 3:23:51 lr: 3.485875358643551e-05 loss: 0.0934 (0.1011) loss_seg: 0.0931 (0.1005) loss_lansim: 0.0314 (0.0411) loss_contra: 0.0028 (0.0193) time: 2.9151 data: 0.0059 max mem: 31630 Epoch: [13] [1110/5278] eta: 3:23:19 lr: 3.485653492449545e-05 loss: 0.0957 (0.1012) loss_seg: 0.0944 (0.1006) loss_lansim: 0.0319 (0.0410) loss_contra: 0.0026 (0.0192) time: 2.9162 data: 0.0059 max mem: 31630 Epoch: [13] [1120/5278] eta: 3:22:50 lr: 3.485431624686411e-05 loss: 0.0957 (0.1013) loss_seg: 0.0944 (0.1007) loss_lansim: 0.0314 (0.0409) loss_contra: 0.0027 (0.0192) time: 2.9228 data: 0.0059 max mem: 31630 Epoch: [13] [1130/5278] eta: 3:22:22 lr: 3.4852097553540256e-05 loss: 0.0985 (0.1013) loss_seg: 0.0969 (0.1007) loss_lansim: 0.0312 (0.0408) loss_contra: 0.0033 (0.0190) time: 2.9331 data: 0.0059 max mem: 31630 Epoch: [13] [1140/5278] eta: 3:21:54 lr: 3.4849878844522667e-05 loss: 0.0920 (0.1012) loss_seg: 0.0915 (0.1006) loss_lansim: 0.0312 (0.0408) loss_contra: 0.0030 (0.0189) time: 2.9337 data: 0.0059 max mem: 31630 Epoch: [13] [1150/5278] eta: 3:21:25 lr: 3.4847660119810126e-05 loss: 0.0886 (0.1012) loss_seg: 0.0882 (0.1006) loss_lansim: 0.0312 (0.0407) loss_contra: 0.0030 (0.0188) time: 2.9356 data: 0.0059 max mem: 31630 Epoch: [13] [1160/5278] eta: 3:20:57 lr: 3.4845441379401414e-05 loss: 0.0912 (0.1012) loss_seg: 0.0908 (0.1006) loss_lansim: 0.0314 (0.0406) loss_contra: 0.0023 (0.0187) time: 2.9396 data: 0.0059 max mem: 31630 Epoch: [13] [1170/5278] eta: 3:20:28 lr: 3.4843222623295305e-05 loss: 0.0900 (0.1011) loss_seg: 0.0897 (0.1005) loss_lansim: 0.0314 (0.0405) loss_contra: 0.0019 (0.0186) time: 2.9396 data: 0.0060 max mem: 31630 Epoch: [13] [1180/5278] eta: 3:20:00 lr: 3.484100385149059e-05 loss: 0.0912 (0.1010) loss_seg: 0.0908 (0.1004) loss_lansim: 0.0317 (0.0405) loss_contra: 0.0017 (0.0185) time: 2.9428 data: 0.0059 max mem: 31630 Epoch: [13] [1190/5278] eta: 3:19:33 lr: 3.483878506398603e-05 loss: 0.0912 (0.1009) loss_seg: 0.0908 (0.1003) loss_lansim: 0.0319 (0.0404) loss_contra: 0.0016 (0.0184) time: 2.9442 data: 0.0059 max mem: 31630 Epoch: [13] [1200/5278] eta: 3:19:03 lr: 3.483656626078041e-05 loss: 0.0900 (0.1009) loss_seg: 0.0897 (0.1003) loss_lansim: 0.0321 (0.0404) loss_contra: 0.0014 (0.0182) time: 2.9417 data: 0.0059 max mem: 31630 Epoch: [13] [1210/5278] eta: 3:18:33 lr: 3.4834347441872506e-05 loss: 0.0883 (0.1007) loss_seg: 0.0879 (0.1002) loss_lansim: 0.0317 (0.0403) loss_contra: 0.0013 (0.0181) time: 2.9464 data: 0.0059 max mem: 31630 Epoch: [13] [1220/5278] eta: 3:18:06 lr: 3.483212860726109e-05 loss: 0.0875 (0.1006) loss_seg: 0.0871 (0.1000) loss_lansim: 0.0323 (0.0403) loss_contra: 0.0013 (0.0180) time: 2.9519 data: 0.0059 max mem: 31630 Epoch: [13] [1230/5278] eta: 3:17:37 lr: 3.4829909756944964e-05 loss: 0.0862 (0.1007) loss_seg: 0.0858 (0.1001) loss_lansim: 0.0325 (0.0402) loss_contra: 0.0012 (0.0180) time: 2.9528 data: 0.0058 max mem: 31630 Epoch: [13] [1240/5278] eta: 3:17:07 lr: 3.482769089092287e-05 loss: 0.0883 (0.1007) loss_seg: 0.0879 (0.1001) loss_lansim: 0.0323 (0.0402) loss_contra: 0.0012 (0.0179) time: 2.9456 data: 0.0058 max mem: 31630 Epoch: [13] [1250/5278] eta: 3:16:39 lr: 3.482547200919361e-05 loss: 0.0924 (0.1009) loss_seg: 0.0920 (0.1003) loss_lansim: 0.0323 (0.0401) loss_contra: 0.0011 (0.0178) time: 2.9477 data: 0.0058 max mem: 31630 Epoch: [13] [1260/5278] eta: 3:16:11 lr: 3.4823253111755956e-05 loss: 0.0924 (0.1011) loss_seg: 0.0920 (0.1005) loss_lansim: 0.0319 (0.0400) loss_contra: 0.0012 (0.0177) time: 2.9494 data: 0.0058 max mem: 31630 Epoch: [13] [1270/5278] eta: 3:15:43 lr: 3.482103419860868e-05 loss: 0.0936 (0.1013) loss_seg: 0.0931 (0.1008) loss_lansim: 0.0315 (0.0400) loss_contra: 0.0011 (0.0176) time: 2.9529 data: 0.0059 max mem: 31630 Epoch: [13] [1280/5278] eta: 3:15:12 lr: 3.481881526975055e-05 loss: 0.0936 (0.1014) loss_seg: 0.0931 (0.1008) loss_lansim: 0.0314 (0.0399) loss_contra: 0.0013 (0.0177) time: 2.9448 data: 0.0059 max mem: 31630 Epoch: [13] [1290/5278] eta: 3:14:44 lr: 3.481659632518037e-05 loss: 0.0936 (0.1013) loss_seg: 0.0931 (0.1007) loss_lansim: 0.0313 (0.0399) loss_contra: 0.0014 (0.0175) time: 2.9426 data: 0.0060 max mem: 31630 Epoch: [13] [1300/5278] eta: 3:14:16 lr: 3.481437736489688e-05 loss: 0.0953 (0.1016) loss_seg: 0.0950 (0.1010) loss_lansim: 0.0312 (0.0398) loss_contra: 0.0016 (0.0175) time: 2.9483 data: 0.0061 max mem: 31630 Epoch: [13] [1310/5278] eta: 3:13:46 lr: 3.481215838889889e-05 loss: 0.0952 (0.1016) loss_seg: 0.0949 (0.1010) loss_lansim: 0.0313 (0.0397) loss_contra: 0.0019 (0.0174) time: 2.9476 data: 0.0061 max mem: 31630 Epoch: [13] [1320/5278] eta: 3:13:18 lr: 3.4809939397185154e-05 loss: 0.0953 (0.1016) loss_seg: 0.0950 (0.1010) loss_lansim: 0.0313 (0.0397) loss_contra: 0.0019 (0.0175) time: 2.9465 data: 0.0061 max mem: 31630 Epoch: [13] [1330/5278] eta: 3:12:50 lr: 3.4807720389754455e-05 loss: 0.0937 (0.1016) loss_seg: 0.0934 (0.1010) loss_lansim: 0.0312 (0.0396) loss_contra: 0.0019 (0.0175) time: 2.9481 data: 0.0061 max mem: 31630 Epoch: [13] [1340/5278] eta: 3:12:21 lr: 3.480550136660557e-05 loss: 0.0921 (0.1017) loss_seg: 0.0918 (0.1011) loss_lansim: 0.0313 (0.0396) loss_contra: 0.0018 (0.0174) time: 2.9512 data: 0.0060 max mem: 31630 Epoch: [13] [1350/5278] eta: 3:11:51 lr: 3.4803282327737264e-05 loss: 0.0921 (0.1017) loss_seg: 0.0918 (0.1011) loss_lansim: 0.0313 (0.0395) loss_contra: 0.0018 (0.0174) time: 2.9465 data: 0.0060 max mem: 31630 Epoch: [13] [1360/5278] eta: 3:11:23 lr: 3.4801063273148325e-05 loss: 0.0896 (0.1017) loss_seg: 0.0893 (0.1011) loss_lansim: 0.0314 (0.0394) loss_contra: 0.0019 (0.0175) time: 2.9467 data: 0.0060 max mem: 31630 Epoch: [13] [1370/5278] eta: 3:10:54 lr: 3.479884420283752e-05 loss: 0.0896 (0.1017) loss_seg: 0.0893 (0.1011) loss_lansim: 0.0315 (0.0394) loss_contra: 0.0019 (0.0174) time: 2.9446 data: 0.0059 max mem: 31630 Epoch: [13] [1380/5278] eta: 3:10:23 lr: 3.479662511680363e-05 loss: 0.0896 (0.1017) loss_seg: 0.0893 (0.1011) loss_lansim: 0.0312 (0.0393) loss_contra: 0.0020 (0.0174) time: 2.9423 data: 0.0058 max mem: 31630 Epoch: [13] [1390/5278] eta: 3:09:55 lr: 3.479440601504542e-05 loss: 0.0924 (0.1017) loss_seg: 0.0921 (0.1011) loss_lansim: 0.0313 (0.0393) loss_contra: 0.0019 (0.0173) time: 2.9430 data: 0.0058 max mem: 31630 Epoch: [13] [1400/5278] eta: 3:09:26 lr: 3.479218689756167e-05 loss: 0.0906 (0.1016) loss_seg: 0.0902 (0.1011) loss_lansim: 0.0312 (0.0392) loss_contra: 0.0018 (0.0173) time: 2.9417 data: 0.0057 max mem: 31630 Epoch: [13] [1410/5278] eta: 3:08:56 lr: 3.478996776435116e-05 loss: 0.0924 (0.1016) loss_seg: 0.0921 (0.1011) loss_lansim: 0.0313 (0.0392) loss_contra: 0.0017 (0.0172) time: 2.9412 data: 0.0057 max mem: 31630 Epoch: [13] [1420/5278] eta: 3:08:27 lr: 3.478774861541266e-05 loss: 0.0960 (0.1017) loss_seg: 0.0957 (0.1011) loss_lansim: 0.0312 (0.0391) loss_contra: 0.0013 (0.0170) time: 2.9395 data: 0.0057 max mem: 31630 Epoch: [13] [1430/5278] eta: 3:07:59 lr: 3.4785529450744924e-05 loss: 0.0964 (0.1016) loss_seg: 0.0961 (0.1010) loss_lansim: 0.0312 (0.0391) loss_contra: 0.0010 (0.0169) time: 2.9376 data: 0.0057 max mem: 31630 Epoch: [13] [1440/5278] eta: 3:07:28 lr: 3.478331027034676e-05 loss: 0.0965 (0.1016) loss_seg: 0.0962 (0.1011) loss_lansim: 0.0311 (0.0390) loss_contra: 0.0010 (0.0169) time: 2.9345 data: 0.0057 max mem: 31630 Epoch: [13] [1450/5278] eta: 3:07:00 lr: 3.478109107421691e-05 loss: 0.0965 (0.1016) loss_seg: 0.0962 (0.1011) loss_lansim: 0.0311 (0.0390) loss_contra: 0.0010 (0.0168) time: 2.9388 data: 0.0057 max mem: 31630 Epoch: [13] [1460/5278] eta: 3:06:30 lr: 3.477887186235418e-05 loss: 0.0975 (0.1016) loss_seg: 0.0971 (0.1010) loss_lansim: 0.0312 (0.0389) loss_contra: 0.0009 (0.0167) time: 2.9304 data: 0.0057 max mem: 31630 Epoch: [13] [1470/5278] eta: 3:06:01 lr: 3.477665263475731e-05 loss: 0.0975 (0.1017) loss_seg: 0.0971 (0.1011) loss_lansim: 0.0312 (0.0389) loss_contra: 0.0009 (0.0166) time: 2.9306 data: 0.0056 max mem: 31630 Epoch: [13] [1480/5278] eta: 3:05:33 lr: 3.477443339142509e-05 loss: 0.0964 (0.1016) loss_seg: 0.0961 (0.1011) loss_lansim: 0.0312 (0.0389) loss_contra: 0.0008 (0.0165) time: 2.9415 data: 0.0056 max mem: 31630 Epoch: [13] [1490/5278] eta: 3:05:03 lr: 3.4772214132356295e-05 loss: 0.0940 (0.1015) loss_seg: 0.0937 (0.1009) loss_lansim: 0.0312 (0.0388) loss_contra: 0.0008 (0.0164) time: 2.9368 data: 0.0056 max mem: 31630 Epoch: [13] [1500/5278] eta: 3:04:34 lr: 3.476999485754969e-05 loss: 0.0924 (0.1014) loss_seg: 0.0921 (0.1009) loss_lansim: 0.0313 (0.0387) loss_contra: 0.0007 (0.0163) time: 2.9336 data: 0.0055 max mem: 31630 Epoch: [13] [1510/5278] eta: 3:04:05 lr: 3.4767775567004046e-05 loss: 0.0921 (0.1014) loss_seg: 0.0917 (0.1009) loss_lansim: 0.0313 (0.0387) loss_contra: 0.0007 (0.0162) time: 2.9383 data: 0.0055 max mem: 31630 Epoch: [13] [1520/5278] eta: 3:03:37 lr: 3.476555626071815e-05 loss: 0.0918 (0.1014) loss_seg: 0.0915 (0.1009) loss_lansim: 0.0313 (0.0387) loss_contra: 0.0007 (0.0161) time: 2.9405 data: 0.0056 max mem: 31630 Epoch: [13] [1530/5278] eta: 3:03:10 lr: 3.4763336938690747e-05 loss: 0.0920 (0.1014) loss_seg: 0.0917 (0.1009) loss_lansim: 0.0313 (0.0386) loss_contra: 0.0007 (0.0161) time: 2.9471 data: 0.0056 max mem: 31630 Epoch: [13] [1540/5278] eta: 3:02:45 lr: 3.4761117600920634e-05 loss: 0.0907 (0.1014) loss_seg: 0.0903 (0.1008) loss_lansim: 0.0317 (0.0386) loss_contra: 0.0007 (0.0160) time: 2.9707 data: 0.0056 max mem: 31630 Epoch: [13] [1550/5278] eta: 3:02:18 lr: 3.475889824740657e-05 loss: 0.0890 (0.1014) loss_seg: 0.0886 (0.1008) loss_lansim: 0.0317 (0.0386) loss_contra: 0.0007 (0.0160) time: 2.9771 data: 0.0058 max mem: 31630 Epoch: [13] [1560/5278] eta: 3:01:53 lr: 3.4756678878147326e-05 loss: 0.0892 (0.1014) loss_seg: 0.0889 (0.1008) loss_lansim: 0.0320 (0.0386) loss_contra: 0.0007 (0.0159) time: 2.9994 data: 0.0059 max mem: 31630 Epoch: [13] [1570/5278] eta: 3:01:29 lr: 3.475445949314168e-05 loss: 0.0906 (0.1015) loss_seg: 0.0903 (0.1009) loss_lansim: 0.0320 (0.0385) loss_contra: 0.0007 (0.0158) time: 3.0190 data: 0.0060 max mem: 31630 Epoch: [13] [1580/5278] eta: 3:01:04 lr: 3.47522400923884e-05 loss: 0.0907 (0.1014) loss_seg: 0.0904 (0.1009) loss_lansim: 0.0327 (0.0385) loss_contra: 0.0007 (0.0157) time: 3.0354 data: 0.0060 max mem: 31630 Epoch: [13] [1590/5278] eta: 3:00:40 lr: 3.475002067588626e-05 loss: 0.0907 (0.1014) loss_seg: 0.0904 (0.1009) loss_lansim: 0.0329 (0.0385) loss_contra: 0.0007 (0.0156) time: 3.0609 data: 0.0061 max mem: 31630 Epoch: [13] [1600/5278] eta: 3:00:13 lr: 3.474780124363402e-05 loss: 0.0934 (0.1015) loss_seg: 0.0931 (0.1009) loss_lansim: 0.0329 (0.0384) loss_contra: 0.0008 (0.0156) time: 3.0729 data: 0.0063 max mem: 31630 Epoch: [13] [1610/5278] eta: 2:59:49 lr: 3.474558179563046e-05 loss: 0.0934 (0.1014) loss_seg: 0.0931 (0.1009) loss_lansim: 0.0333 (0.0384) loss_contra: 0.0007 (0.0155) time: 3.0929 data: 0.0063 max mem: 31630 Epoch: [13] [1620/5278] eta: 2:59:24 lr: 3.4743362331874345e-05 loss: 0.0922 (0.1013) loss_seg: 0.0918 (0.1008) loss_lansim: 0.0336 (0.0384) loss_contra: 0.0008 (0.0154) time: 3.1108 data: 0.0063 max mem: 31630 Epoch: [13] [1630/5278] eta: 2:58:57 lr: 3.474114285236446e-05 loss: 0.0893 (0.1013) loss_seg: 0.0889 (0.1007) loss_lansim: 0.0334 (0.0384) loss_contra: 0.0007 (0.0153) time: 3.1148 data: 0.0064 max mem: 31630 Epoch: [13] [1640/5278] eta: 2:58:34 lr: 3.473892335709954e-05 loss: 0.0907 (0.1013) loss_seg: 0.0904 (0.1008) loss_lansim: 0.0329 (0.0383) loss_contra: 0.0008 (0.0153) time: 3.1259 data: 0.0064 max mem: 31630 Epoch: [13] [1650/5278] eta: 2:58:07 lr: 3.473670384607839e-05 loss: 0.0937 (0.1013) loss_seg: 0.0934 (0.1008) loss_lansim: 0.0329 (0.0383) loss_contra: 0.0008 (0.0152) time: 3.1285 data: 0.0063 max mem: 31630 Epoch: [13] [1660/5278] eta: 2:57:42 lr: 3.473448431929977e-05 loss: 0.0901 (0.1012) loss_seg: 0.0898 (0.1006) loss_lansim: 0.0334 (0.0383) loss_contra: 0.0008 (0.0152) time: 3.1305 data: 0.0063 max mem: 31630 Epoch: [13] [1670/5278] eta: 2:57:17 lr: 3.473226477676244e-05 loss: 0.0847 (0.1011) loss_seg: 0.0841 (0.1005) loss_lansim: 0.0334 (0.0383) loss_contra: 0.0008 (0.0151) time: 3.1300 data: 0.0063 max mem: 31630 Epoch: [13] [1680/5278] eta: 2:56:50 lr: 3.4730045218465184e-05 loss: 0.0846 (0.1010) loss_seg: 0.0837 (0.1005) loss_lansim: 0.0335 (0.0383) loss_contra: 0.0008 (0.0150) time: 3.1256 data: 0.0063 max mem: 31630 Epoch: [13] [1690/5278] eta: 2:56:27 lr: 3.4727825644406754e-05 loss: 0.0839 (0.1009) loss_seg: 0.0834 (0.1004) loss_lansim: 0.0335 (0.0383) loss_contra: 0.0008 (0.0150) time: 3.1296 data: 0.0063 max mem: 31630 Epoch: [13] [1700/5278] eta: 2:55:59 lr: 3.472560605458592e-05 loss: 0.0834 (0.1009) loss_seg: 0.0831 (0.1004) loss_lansim: 0.0336 (0.0383) loss_contra: 0.0008 (0.0149) time: 3.1314 data: 0.0062 max mem: 31630 Epoch: [13] [1710/5278] eta: 2:55:34 lr: 3.4723386449001474e-05 loss: 0.0846 (0.1009) loss_seg: 0.0837 (0.1004) loss_lansim: 0.0336 (0.0383) loss_contra: 0.0008 (0.0149) time: 3.1325 data: 0.0062 max mem: 31630 Epoch: [13] [1720/5278] eta: 2:55:08 lr: 3.472116682765216e-05 loss: 0.0868 (0.1011) loss_seg: 0.0864 (0.1006) loss_lansim: 0.0336 (0.0383) loss_contra: 0.0008 (0.0148) time: 3.1281 data: 0.0063 max mem: 31630 Epoch: [13] [1730/5278] eta: 2:54:42 lr: 3.4718947190536754e-05 loss: 0.0900 (0.1013) loss_seg: 0.0894 (0.1008) loss_lansim: 0.0338 (0.0383) loss_contra: 0.0008 (0.0147) time: 3.1348 data: 0.0063 max mem: 31630 Epoch: [13] [1740/5278] eta: 2:54:16 lr: 3.471672753765403e-05 loss: 0.0889 (0.1013) loss_seg: 0.0886 (0.1008) loss_lansim: 0.0344 (0.0383) loss_contra: 0.0007 (0.0147) time: 3.1251 data: 0.0062 max mem: 31630 Epoch: [13] [1750/5278] eta: 2:53:50 lr: 3.471450786900274e-05 loss: 0.0889 (0.1013) loss_seg: 0.0886 (0.1008) loss_lansim: 0.0343 (0.0382) loss_contra: 0.0006 (0.0146) time: 3.1328 data: 0.0063 max mem: 31630 Epoch: [13] [1760/5278] eta: 2:53:25 lr: 3.471228818458167e-05 loss: 0.0956 (0.1013) loss_seg: 0.0953 (0.1008) loss_lansim: 0.0343 (0.0382) loss_contra: 0.0006 (0.0145) time: 3.1361 data: 0.0064 max mem: 31630 Epoch: [13] [1770/5278] eta: 2:52:57 lr: 3.471006848438957e-05 loss: 0.0977 (0.1014) loss_seg: 0.0974 (0.1008) loss_lansim: 0.0344 (0.0382) loss_contra: 0.0005 (0.0145) time: 3.1252 data: 0.0066 max mem: 31630 Epoch: [13] [1780/5278] eta: 2:52:31 lr: 3.4707848768425225e-05 loss: 0.0982 (0.1014) loss_seg: 0.0979 (0.1009) loss_lansim: 0.0343 (0.0382) loss_contra: 0.0004 (0.0144) time: 3.1315 data: 0.0066 max mem: 31630 Epoch: [13] [1790/5278] eta: 2:52:05 lr: 3.470562903668739e-05 loss: 0.1019 (0.1015) loss_seg: 0.1011 (0.1010) loss_lansim: 0.0339 (0.0382) loss_contra: 0.0005 (0.0145) time: 3.1212 data: 0.0066 max mem: 31630 Epoch: [13] [1800/5278] eta: 2:51:37 lr: 3.4703409289174834e-05 loss: 0.1019 (0.1015) loss_seg: 0.1011 (0.1010) loss_lansim: 0.0343 (0.0382) loss_contra: 0.0005 (0.0144) time: 3.1228 data: 0.0068 max mem: 31630 Epoch: [13] [1810/5278] eta: 2:51:13 lr: 3.470118952588633e-05 loss: 0.1001 (0.1014) loss_seg: 0.0997 (0.1009) loss_lansim: 0.0344 (0.0382) loss_contra: 0.0005 (0.0143) time: 3.1319 data: 0.0069 max mem: 31630 Epoch: [13] [1820/5278] eta: 2:50:47 lr: 3.4698969746820645e-05 loss: 0.1004 (0.1017) loss_seg: 0.1001 (0.1012) loss_lansim: 0.0344 (0.0382) loss_contra: 0.0007 (0.0143) time: 3.1321 data: 0.0069 max mem: 31630 Epoch: [13] [1830/5278] eta: 2:50:21 lr: 3.4696749951976525e-05 loss: 0.0997 (0.1017) loss_seg: 0.0993 (0.1011) loss_lansim: 0.0343 (0.0381) loss_contra: 0.0009 (0.0144) time: 3.1355 data: 0.0068 max mem: 31630 Epoch: [13] [1840/5278] eta: 2:49:53 lr: 3.469453014135276e-05 loss: 0.1015 (0.1018) loss_seg: 0.1011 (0.1013) loss_lansim: 0.0343 (0.0381) loss_contra: 0.0010 (0.0144) time: 3.1259 data: 0.0069 max mem: 31630 Epoch: [13] [1850/5278] eta: 2:49:26 lr: 3.469231031494811e-05 loss: 0.0982 (0.1018) loss_seg: 0.0979 (0.1012) loss_lansim: 0.0347 (0.0381) loss_contra: 0.0011 (0.0143) time: 3.1260 data: 0.0069 max mem: 31630 Epoch: [13] [1860/5278] eta: 2:49:01 lr: 3.469009047276134e-05 loss: 0.0992 (0.1019) loss_seg: 0.0989 (0.1013) loss_lansim: 0.0339 (0.0381) loss_contra: 0.0013 (0.0143) time: 3.1296 data: 0.0068 max mem: 31630 Epoch: [13] [1870/5278] eta: 2:48:33 lr: 3.4687870614791206e-05 loss: 0.0959 (0.1017) loss_seg: 0.0955 (0.1012) loss_lansim: 0.0336 (0.0381) loss_contra: 0.0016 (0.0143) time: 3.1361 data: 0.0068 max mem: 31630 Epoch: [13] [1880/5278] eta: 2:48:06 lr: 3.4685650741036487e-05 loss: 0.0959 (0.1018) loss_seg: 0.0955 (0.1013) loss_lansim: 0.0330 (0.0381) loss_contra: 0.0016 (0.0143) time: 3.1320 data: 0.0069 max mem: 31630 Epoch: [13] [1890/5278] eta: 2:47:39 lr: 3.4683430851495946e-05 loss: 0.0959 (0.1020) loss_seg: 0.0955 (0.1014) loss_lansim: 0.0332 (0.0380) loss_contra: 0.0017 (0.0143) time: 3.1321 data: 0.0068 max mem: 31630 Epoch: [13] [1900/5278] eta: 2:47:12 lr: 3.468121094616834e-05 loss: 0.0959 (0.1020) loss_seg: 0.0955 (0.1015) loss_lansim: 0.0332 (0.0380) loss_contra: 0.0016 (0.0142) time: 3.1360 data: 0.0067 max mem: 31630 Epoch: [13] [1910/5278] eta: 2:46:46 lr: 3.4678991025052436e-05 loss: 0.0959 (0.1019) loss_seg: 0.0955 (0.1014) loss_lansim: 0.0332 (0.0380) loss_contra: 0.0016 (0.0142) time: 3.1289 data: 0.0067 max mem: 31630 Epoch: [13] [1920/5278] eta: 2:46:19 lr: 3.467677108814701e-05 loss: 0.0965 (0.1020) loss_seg: 0.0962 (0.1015) loss_lansim: 0.0332 (0.0380) loss_contra: 0.0013 (0.0142) time: 3.1279 data: 0.0067 max mem: 31630 Epoch: [13] [1930/5278] eta: 2:45:53 lr: 3.467455113545081e-05 loss: 0.0955 (0.1019) loss_seg: 0.0952 (0.1014) loss_lansim: 0.0334 (0.0380) loss_contra: 0.0010 (0.0142) time: 3.1281 data: 0.0068 max mem: 31630 Epoch: [13] [1940/5278] eta: 2:45:26 lr: 3.4672331166962616e-05 loss: 0.0943 (0.1019) loss_seg: 0.0938 (0.1014) loss_lansim: 0.0331 (0.0380) loss_contra: 0.0010 (0.0141) time: 3.1387 data: 0.0068 max mem: 31630 Epoch: [13] [1950/5278] eta: 2:44:58 lr: 3.4670111182681183e-05 loss: 0.0946 (0.1019) loss_seg: 0.0943 (0.1014) loss_lansim: 0.0330 (0.0379) loss_contra: 0.0012 (0.0143) time: 3.1355 data: 0.0068 max mem: 31630 Epoch: [13] [1960/5278] eta: 2:44:32 lr: 3.466789118260527e-05 loss: 0.0927 (0.1018) loss_seg: 0.0924 (0.1013) loss_lansim: 0.0327 (0.0379) loss_contra: 0.0011 (0.0144) time: 3.1309 data: 0.0067 max mem: 31630 Epoch: [13] [1970/5278] eta: 2:44:04 lr: 3.466567116673366e-05 loss: 0.0942 (0.1019) loss_seg: 0.0932 (0.1013) loss_lansim: 0.0325 (0.0379) loss_contra: 0.0011 (0.0144) time: 3.1306 data: 0.0067 max mem: 31630 Epoch: [13] [1980/5278] eta: 2:43:39 lr: 3.466345113506509e-05 loss: 0.0946 (0.1020) loss_seg: 0.0943 (0.1014) loss_lansim: 0.0327 (0.0378) loss_contra: 0.0015 (0.0145) time: 3.1420 data: 0.0067 max mem: 31630 Epoch: [13] [1990/5278] eta: 2:43:11 lr: 3.466123108759835e-05 loss: 0.0935 (0.1020) loss_seg: 0.0932 (0.1015) loss_lansim: 0.0320 (0.0378) loss_contra: 0.0015 (0.0145) time: 3.1401 data: 0.0066 max mem: 31630 Epoch: [13] [2000/5278] eta: 2:42:42 lr: 3.465901102433219e-05 loss: 0.0925 (0.1020) loss_seg: 0.0921 (0.1015) loss_lansim: 0.0309 (0.0378) loss_contra: 0.0023 (0.0145) time: 3.1340 data: 0.0066 max mem: 31630 Epoch: [13] [2010/5278] eta: 2:42:16 lr: 3.4656790945265367e-05 loss: 0.0927 (0.1019) loss_seg: 0.0921 (0.1014) loss_lansim: 0.0307 (0.0377) loss_contra: 0.0030 (0.0144) time: 3.1339 data: 0.0065 max mem: 31630 Epoch: [13] [2020/5278] eta: 2:41:49 lr: 3.4654570850396654e-05 loss: 0.0917 (0.1019) loss_seg: 0.0912 (0.1014) loss_lansim: 0.0304 (0.0377) loss_contra: 0.0030 (0.0144) time: 3.1380 data: 0.0065 max mem: 31630 Epoch: [13] [2030/5278] eta: 2:41:23 lr: 3.465235073972481e-05 loss: 0.0909 (0.1018) loss_seg: 0.0905 (0.1013) loss_lansim: 0.0297 (0.0377) loss_contra: 0.0030 (0.0144) time: 3.1434 data: 0.0065 max mem: 31630 Epoch: [13] [2040/5278] eta: 2:40:54 lr: 3.46501306132486e-05 loss: 0.0927 (0.1018) loss_seg: 0.0924 (0.1013) loss_lansim: 0.0297 (0.0376) loss_contra: 0.0031 (0.0144) time: 3.1340 data: 0.0065 max mem: 31630 Epoch: [13] [2050/5278] eta: 2:40:27 lr: 3.464791047096678e-05 loss: 0.0946 (0.1019) loss_seg: 0.0943 (0.1013) loss_lansim: 0.0297 (0.0376) loss_contra: 0.0023 (0.0144) time: 3.1401 data: 0.0064 max mem: 31630 Epoch: [13] [2060/5278] eta: 2:39:58 lr: 3.464569031287812e-05 loss: 0.0955 (0.1018) loss_seg: 0.0951 (0.1013) loss_lansim: 0.0304 (0.0376) loss_contra: 0.0023 (0.0144) time: 3.1278 data: 0.0063 max mem: 31630 Epoch: [13] [2070/5278] eta: 2:39:30 lr: 3.464347013898138e-05 loss: 0.0969 (0.1019) loss_seg: 0.0966 (0.1014) loss_lansim: 0.0303 (0.0375) loss_contra: 0.0023 (0.0143) time: 3.1297 data: 0.0064 max mem: 31630 Epoch: [13] [2080/5278] eta: 2:39:04 lr: 3.4641249949275316e-05 loss: 0.0955 (0.1019) loss_seg: 0.0951 (0.1014) loss_lansim: 0.0302 (0.0375) loss_contra: 0.0018 (0.0143) time: 3.1299 data: 0.0064 max mem: 31630 Epoch: [13] [2090/5278] eta: 2:38:36 lr: 3.46390297437587e-05 loss: 0.0946 (0.1019) loss_seg: 0.0943 (0.1014) loss_lansim: 0.0302 (0.0375) loss_contra: 0.0018 (0.0143) time: 3.1316 data: 0.0064 max mem: 31630 Epoch: [13] [2100/5278] eta: 2:38:09 lr: 3.463680952243029e-05 loss: 0.0964 (0.1020) loss_seg: 0.0961 (0.1015) loss_lansim: 0.0302 (0.0375) loss_contra: 0.0017 (0.0143) time: 3.1380 data: 0.0064 max mem: 31630 Epoch: [13] [2110/5278] eta: 2:37:41 lr: 3.4634589285288834e-05 loss: 0.0973 (0.1019) loss_seg: 0.0970 (0.1014) loss_lansim: 0.0303 (0.0375) loss_contra: 0.0017 (0.0142) time: 3.1329 data: 0.0064 max mem: 31630 Epoch: [13] [2120/5278] eta: 2:37:13 lr: 3.4632369032333103e-05 loss: 0.0981 (0.1020) loss_seg: 0.0978 (0.1014) loss_lansim: 0.0302 (0.0374) loss_contra: 0.0017 (0.0142) time: 3.1304 data: 0.0065 max mem: 31630 Epoch: [13] [2130/5278] eta: 2:36:46 lr: 3.463014876356187e-05 loss: 0.1009 (0.1021) loss_seg: 0.1006 (0.1016) loss_lansim: 0.0304 (0.0374) loss_contra: 0.0017 (0.0142) time: 3.1273 data: 0.0064 max mem: 31630 Epoch: [13] [2140/5278] eta: 2:36:17 lr: 3.462792847897387e-05 loss: 0.1029 (0.1022) loss_seg: 0.1026 (0.1017) loss_lansim: 0.0305 (0.0374) loss_contra: 0.0017 (0.0142) time: 3.1250 data: 0.0064 max mem: 31630 Epoch: [13] [2150/5278] eta: 2:35:49 lr: 3.462570817856789e-05 loss: 0.1010 (0.1023) loss_seg: 0.1007 (0.1018) loss_lansim: 0.0306 (0.0374) loss_contra: 0.0019 (0.0142) time: 3.1206 data: 0.0065 max mem: 31630 Epoch: [13] [2160/5278] eta: 2:35:19 lr: 3.462348786234267e-05 loss: 0.1120 (0.1024) loss_seg: 0.1117 (0.1019) loss_lansim: 0.0303 (0.0373) loss_contra: 0.0019 (0.0142) time: 3.1169 data: 0.0065 max mem: 31630 Epoch: [13] [2170/5278] eta: 2:34:51 lr: 3.462126753029699e-05 loss: 0.1104 (0.1025) loss_seg: 0.1100 (0.1020) loss_lansim: 0.0302 (0.0373) loss_contra: 0.0019 (0.0142) time: 3.1136 data: 0.0066 max mem: 31630 Epoch: [13] [2180/5278] eta: 2:34:23 lr: 3.461904718242959e-05 loss: 0.1117 (0.1027) loss_seg: 0.1114 (0.1022) loss_lansim: 0.0302 (0.0373) loss_contra: 0.0020 (0.0142) time: 3.1025 data: 0.0066 max mem: 31630 Epoch: [13] [2190/5278] eta: 2:33:53 lr: 3.4616826818739236e-05 loss: 0.1104 (0.1027) loss_seg: 0.1100 (0.1022) loss_lansim: 0.0303 (0.0373) loss_contra: 0.0020 (0.0142) time: 3.0936 data: 0.0067 max mem: 31630 Epoch: [13] [2200/5278] eta: 2:33:25 lr: 3.461460643922468e-05 loss: 0.1090 (0.1029) loss_seg: 0.1087 (0.1024) loss_lansim: 0.0301 (0.0372) loss_contra: 0.0022 (0.0141) time: 3.0895 data: 0.0066 max mem: 31630 Epoch: [13] [2210/5278] eta: 2:32:55 lr: 3.461238604388471e-05 loss: 0.1104 (0.1030) loss_seg: 0.1100 (0.1025) loss_lansim: 0.0305 (0.0372) loss_contra: 0.0019 (0.0141) time: 3.0770 data: 0.0067 max mem: 31630 Epoch: [13] [2220/5278] eta: 2:32:26 lr: 3.461016563271805e-05 loss: 0.1104 (0.1030) loss_seg: 0.1100 (0.1025) loss_lansim: 0.0308 (0.0372) loss_contra: 0.0024 (0.0140) time: 3.0760 data: 0.0068 max mem: 31630 Epoch: [13] [2230/5278] eta: 2:31:58 lr: 3.460794520572349e-05 loss: 0.1090 (0.1030) loss_seg: 0.1087 (0.1025) loss_lansim: 0.0311 (0.0372) loss_contra: 0.0020 (0.0140) time: 3.0662 data: 0.0069 max mem: 31630 Epoch: [13] [2240/5278] eta: 2:31:29 lr: 3.460572476289976e-05 loss: 0.1080 (0.1031) loss_seg: 0.1077 (0.1026) loss_lansim: 0.0314 (0.0372) loss_contra: 0.0021 (0.0140) time: 3.0659 data: 0.0069 max mem: 31630 Epoch: [13] [2250/5278] eta: 2:31:01 lr: 3.4603504304245635e-05 loss: 0.1080 (0.1031) loss_seg: 0.1077 (0.1026) loss_lansim: 0.0314 (0.0372) loss_contra: 0.0019 (0.0139) time: 3.0743 data: 0.0069 max mem: 31630 Epoch: [13] [2260/5278] eta: 2:30:40 lr: 3.4601283829759876e-05 loss: 0.0995 (0.1031) loss_seg: 0.0992 (0.1026) loss_lansim: 0.0314 (0.0371) loss_contra: 0.0016 (0.0139) time: 3.1401 data: 0.0068 max mem: 31630 Epoch: [13] [2270/5278] eta: 2:30:16 lr: 3.4599063339441234e-05 loss: 0.1000 (0.1032) loss_seg: 0.0997 (0.1027) loss_lansim: 0.0314 (0.0371) loss_contra: 0.0014 (0.0139) time: 3.1764 data: 0.0067 max mem: 31630 Epoch: [13] [2280/5278] eta: 2:29:58 lr: 3.4596842833288464e-05 loss: 0.0984 (0.1032) loss_seg: 0.0979 (0.1027) loss_lansim: 0.0311 (0.0371) loss_contra: 0.0014 (0.0139) time: 3.2530 data: 0.0065 max mem: 31630 Epoch: [13] [2290/5278] eta: 2:29:31 lr: 3.459462231130034e-05 loss: 0.1000 (0.1032) loss_seg: 0.0997 (0.1027) loss_lansim: 0.0313 (0.0371) loss_contra: 0.0013 (0.0138) time: 3.2700 data: 0.0064 max mem: 31630 Epoch: [13] [2300/5278] eta: 2:29:01 lr: 3.45924017734756e-05 loss: 0.1000 (0.1033) loss_seg: 0.0997 (0.1028) loss_lansim: 0.0326 (0.0371) loss_contra: 0.0011 (0.0138) time: 3.2664 data: 0.0064 max mem: 31630 Epoch: [13] [2310/5278] eta: 2:28:33 lr: 3.459018121981301e-05 loss: 0.0991 (0.1033) loss_seg: 0.0988 (0.1028) loss_lansim: 0.0322 (0.0370) loss_contra: 0.0017 (0.0138) time: 3.2820 data: 0.0064 max mem: 31630 Epoch: [13] [2320/5278] eta: 2:28:04 lr: 3.458796065031133e-05 loss: 0.0984 (0.1032) loss_seg: 0.0979 (0.1027) loss_lansim: 0.0318 (0.0370) loss_contra: 0.0015 (0.0138) time: 3.2810 data: 0.0063 max mem: 31630 Epoch: [13] [2330/5278] eta: 2:27:36 lr: 3.458574006496931e-05 loss: 0.0984 (0.1032) loss_seg: 0.0979 (0.1027) loss_lansim: 0.0315 (0.0370) loss_contra: 0.0019 (0.0138) time: 3.2833 data: 0.0063 max mem: 31630 Epoch: [13] [2340/5278] eta: 2:27:08 lr: 3.4583519463785725e-05 loss: 0.0991 (0.1032) loss_seg: 0.0988 (0.1027) loss_lansim: 0.0315 (0.0370) loss_contra: 0.0019 (0.0137) time: 3.2962 data: 0.0063 max mem: 31630 Epoch: [13] [2350/5278] eta: 2:26:38 lr: 3.4581298846759296e-05 loss: 0.1019 (0.1033) loss_seg: 0.1016 (0.1028) loss_lansim: 0.0309 (0.0370) loss_contra: 0.0020 (0.0137) time: 3.2798 data: 0.0064 max mem: 31630 Epoch: [13] [2360/5278] eta: 2:26:09 lr: 3.457907821388882e-05 loss: 0.1026 (0.1033) loss_seg: 0.1020 (0.1028) loss_lansim: 0.0315 (0.0370) loss_contra: 0.0020 (0.0137) time: 3.2267 data: 0.0064 max mem: 31630 Epoch: [13] [2370/5278] eta: 2:25:41 lr: 3.457685756517303e-05 loss: 0.1019 (0.1033) loss_seg: 0.1016 (0.1028) loss_lansim: 0.0319 (0.0370) loss_contra: 0.0019 (0.0136) time: 3.1976 data: 0.0065 max mem: 31630 Epoch: [13] [2380/5278] eta: 2:25:12 lr: 3.4574636900610686e-05 loss: 0.1022 (0.1035) loss_seg: 0.1017 (0.1030) loss_lansim: 0.0326 (0.0370) loss_contra: 0.0019 (0.0137) time: 3.1188 data: 0.0065 max mem: 31630 Epoch: [13] [2390/5278] eta: 2:24:43 lr: 3.457241622020055e-05 loss: 0.0959 (0.1034) loss_seg: 0.0953 (0.1029) loss_lansim: 0.0320 (0.0369) loss_contra: 0.0020 (0.0137) time: 3.1069 data: 0.0066 max mem: 31630 Epoch: [13] [2400/5278] eta: 2:24:14 lr: 3.457019552394137e-05 loss: 0.0900 (0.1034) loss_seg: 0.0895 (0.1029) loss_lansim: 0.0319 (0.0369) loss_contra: 0.0020 (0.0137) time: 3.1141 data: 0.0067 max mem: 31630 Epoch: [13] [2410/5278] eta: 2:23:46 lr: 3.4567974811831905e-05 loss: 0.0911 (0.1034) loss_seg: 0.0907 (0.1028) loss_lansim: 0.0323 (0.0369) loss_contra: 0.0020 (0.0137) time: 3.1101 data: 0.0066 max mem: 31630 Epoch: [13] [2420/5278] eta: 2:23:16 lr: 3.456575408387091e-05 loss: 0.0920 (0.1033) loss_seg: 0.0914 (0.1028) loss_lansim: 0.0319 (0.0369) loss_contra: 0.0019 (0.0136) time: 3.1091 data: 0.0065 max mem: 31630 Epoch: [13] [2430/5278] eta: 2:22:47 lr: 3.456353334005714e-05 loss: 0.0905 (0.1032) loss_seg: 0.0902 (0.1027) loss_lansim: 0.0317 (0.0369) loss_contra: 0.0020 (0.0139) time: 3.1078 data: 0.0065 max mem: 31630 Epoch: [13] [2440/5278] eta: 2:22:18 lr: 3.456131258038935e-05 loss: 0.0911 (0.1033) loss_seg: 0.0907 (0.1028) loss_lansim: 0.0320 (0.0369) loss_contra: 0.0023 (0.0139) time: 3.0989 data: 0.0065 max mem: 31630 Epoch: [13] [2450/5278] eta: 2:21:49 lr: 3.455909180486629e-05 loss: 0.0905 (0.1033) loss_seg: 0.0902 (0.1028) loss_lansim: 0.0320 (0.0369) loss_contra: 0.0021 (0.0139) time: 3.1067 data: 0.0064 max mem: 31630 Epoch: [13] [2460/5278] eta: 2:21:20 lr: 3.455687101348674e-05 loss: 0.0898 (0.1034) loss_seg: 0.0894 (0.1029) loss_lansim: 0.0319 (0.0368) loss_contra: 0.0021 (0.0138) time: 3.1004 data: 0.0064 max mem: 31630 Epoch: [13] [2470/5278] eta: 2:20:51 lr: 3.4554650206249425e-05 loss: 0.0905 (0.1034) loss_seg: 0.0902 (0.1029) loss_lansim: 0.0315 (0.0368) loss_contra: 0.0023 (0.0139) time: 3.0966 data: 0.0065 max mem: 31630 Epoch: [13] [2480/5278] eta: 2:20:22 lr: 3.45524293831531e-05 loss: 0.0911 (0.1036) loss_seg: 0.0907 (0.1031) loss_lansim: 0.0314 (0.0368) loss_contra: 0.0025 (0.0139) time: 3.0957 data: 0.0065 max mem: 31630 Epoch: [13] [2490/5278] eta: 2:19:52 lr: 3.455020854419653e-05 loss: 0.0929 (0.1035) loss_seg: 0.0926 (0.1030) loss_lansim: 0.0314 (0.0368) loss_contra: 0.0025 (0.0138) time: 3.0964 data: 0.0065 max mem: 31630 Epoch: [13] [2500/5278] eta: 2:19:23 lr: 3.454798768937848e-05 loss: 0.0962 (0.1037) loss_seg: 0.0959 (0.1032) loss_lansim: 0.0314 (0.0367) loss_contra: 0.0029 (0.0139) time: 3.0940 data: 0.0065 max mem: 31630 Epoch: [13] [2510/5278] eta: 2:18:54 lr: 3.454576681869768e-05 loss: 0.0956 (0.1037) loss_seg: 0.0946 (0.1031) loss_lansim: 0.0314 (0.0367) loss_contra: 0.0022 (0.0139) time: 3.0958 data: 0.0066 max mem: 31630 Epoch: [13] [2520/5278] eta: 2:18:25 lr: 3.45435459321529e-05 loss: 0.0962 (0.1037) loss_seg: 0.0959 (0.1032) loss_lansim: 0.0314 (0.0367) loss_contra: 0.0029 (0.0140) time: 3.0908 data: 0.0066 max mem: 31630 Epoch: [13] [2530/5278] eta: 2:17:56 lr: 3.454132502974289e-05 loss: 0.1024 (0.1038) loss_seg: 0.1021 (0.1033) loss_lansim: 0.0316 (0.0367) loss_contra: 0.0025 (0.0140) time: 3.0957 data: 0.0066 max mem: 31630 Epoch: [13] [2540/5278] eta: 2:17:27 lr: 3.453910411146639e-05 loss: 0.0991 (0.1038) loss_seg: 0.0988 (0.1033) loss_lansim: 0.0315 (0.0367) loss_contra: 0.0016 (0.0140) time: 3.0971 data: 0.0066 max mem: 31630 Epoch: [13] [2550/5278] eta: 2:16:57 lr: 3.4536883177322185e-05 loss: 0.0991 (0.1038) loss_seg: 0.0988 (0.1033) loss_lansim: 0.0319 (0.0367) loss_contra: 0.0018 (0.0139) time: 3.0934 data: 0.0066 max mem: 31630 Epoch: [13] [2560/5278] eta: 2:16:28 lr: 3.4534662227308985e-05 loss: 0.0970 (0.1037) loss_seg: 0.0967 (0.1032) loss_lansim: 0.0319 (0.0367) loss_contra: 0.0018 (0.0139) time: 3.0952 data: 0.0066 max mem: 31630 Epoch: [13] [2570/5278] eta: 2:15:59 lr: 3.453244126142558e-05 loss: 0.0962 (0.1037) loss_seg: 0.0956 (0.1032) loss_lansim: 0.0316 (0.0366) loss_contra: 0.0019 (0.0139) time: 3.0953 data: 0.0065 max mem: 31630 Epoch: [13] [2580/5278] eta: 2:15:29 lr: 3.45302202796707e-05 loss: 0.0956 (0.1038) loss_seg: 0.0948 (0.1033) loss_lansim: 0.0316 (0.0366) loss_contra: 0.0016 (0.0139) time: 3.0896 data: 0.0065 max mem: 31630 Epoch: [13] [2590/5278] eta: 2:15:00 lr: 3.45279992820431e-05 loss: 0.0970 (0.1039) loss_seg: 0.0967 (0.1034) loss_lansim: 0.0316 (0.0366) loss_contra: 0.0016 (0.0138) time: 3.0974 data: 0.0065 max mem: 31630 Epoch: [13] [2600/5278] eta: 2:14:31 lr: 3.452577826854155e-05 loss: 0.0956 (0.1038) loss_seg: 0.0948 (0.1033) loss_lansim: 0.0315 (0.0366) loss_contra: 0.0013 (0.0138) time: 3.1008 data: 0.0065 max mem: 31630 Epoch: [13] [2610/5278] eta: 2:14:02 lr: 3.4523557239164786e-05 loss: 0.0950 (0.1038) loss_seg: 0.0947 (0.1032) loss_lansim: 0.0316 (0.0366) loss_contra: 0.0015 (0.0138) time: 3.0973 data: 0.0064 max mem: 31630 Epoch: [13] [2620/5278] eta: 2:13:33 lr: 3.4521336193911554e-05 loss: 0.0961 (0.1037) loss_seg: 0.0956 (0.1032) loss_lansim: 0.0314 (0.0366) loss_contra: 0.0016 (0.0138) time: 3.1084 data: 0.0064 max mem: 31630 Epoch: [13] [2630/5278] eta: 2:13:05 lr: 3.451911513278062e-05 loss: 0.0950 (0.1038) loss_seg: 0.0947 (0.1033) loss_lansim: 0.0314 (0.0366) loss_contra: 0.0015 (0.0138) time: 3.1131 data: 0.0063 max mem: 31630 Epoch: [13] [2640/5278] eta: 2:12:35 lr: 3.451689405577072e-05 loss: 0.0949 (0.1038) loss_seg: 0.0942 (0.1033) loss_lansim: 0.0316 (0.0366) loss_contra: 0.0016 (0.0138) time: 3.1100 data: 0.0063 max mem: 31630 Epoch: [13] [2650/5278] eta: 2:12:06 lr: 3.451467296288063e-05 loss: 0.0925 (0.1037) loss_seg: 0.0922 (0.1032) loss_lansim: 0.0316 (0.0366) loss_contra: 0.0017 (0.0138) time: 3.1139 data: 0.0063 max mem: 31630 Epoch: [13] [2660/5278] eta: 2:11:37 lr: 3.451245185410907e-05 loss: 0.0924 (0.1037) loss_seg: 0.0919 (0.1032) loss_lansim: 0.0321 (0.0365) loss_contra: 0.0015 (0.0137) time: 3.1174 data: 0.0063 max mem: 31630 Epoch: [13] [2670/5278] eta: 2:11:08 lr: 3.4510230729454816e-05 loss: 0.0909 (0.1037) loss_seg: 0.0905 (0.1032) loss_lansim: 0.0325 (0.0365) loss_contra: 0.0015 (0.0137) time: 3.1245 data: 0.0063 max mem: 31630 Epoch: [13] [2680/5278] eta: 2:10:39 lr: 3.450800958891661e-05 loss: 0.0906 (0.1037) loss_seg: 0.0903 (0.1032) loss_lansim: 0.0325 (0.0365) loss_contra: 0.0015 (0.0137) time: 3.1329 data: 0.0063 max mem: 31630 Epoch: [13] [2690/5278] eta: 2:10:10 lr: 3.4505788432493205e-05 loss: 0.0895 (0.1038) loss_seg: 0.0891 (0.1033) loss_lansim: 0.0325 (0.0365) loss_contra: 0.0015 (0.0137) time: 3.1294 data: 0.0062 max mem: 31630 Epoch: [13] [2700/5278] eta: 2:09:40 lr: 3.4503567260183337e-05 loss: 0.0897 (0.1037) loss_seg: 0.0893 (0.1032) loss_lansim: 0.0329 (0.0365) loss_contra: 0.0015 (0.0136) time: 3.1228 data: 0.0062 max mem: 31630 Epoch: [13] [2710/5278] eta: 2:09:11 lr: 3.4501346071985766e-05 loss: 0.0909 (0.1038) loss_seg: 0.0905 (0.1033) loss_lansim: 0.0329 (0.0365) loss_contra: 0.0016 (0.0136) time: 3.1279 data: 0.0062 max mem: 31630 Epoch: [13] [2720/5278] eta: 2:08:43 lr: 3.449912486789925e-05 loss: 0.0897 (0.1038) loss_seg: 0.0893 (0.1033) loss_lansim: 0.0329 (0.0365) loss_contra: 0.0015 (0.0136) time: 3.1370 data: 0.0062 max mem: 31630 Epoch: [13] [2730/5278] eta: 2:08:14 lr: 3.4496903647922525e-05 loss: 0.0888 (0.1037) loss_seg: 0.0885 (0.1032) loss_lansim: 0.0329 (0.0365) loss_contra: 0.0015 (0.0135) time: 3.1230 data: 0.0062 max mem: 31630 Epoch: [13] [2740/5278] eta: 2:07:45 lr: 3.449468241205435e-05 loss: 0.0888 (0.1036) loss_seg: 0.0885 (0.1031) loss_lansim: 0.0325 (0.0365) loss_contra: 0.0013 (0.0135) time: 3.1347 data: 0.0062 max mem: 31630 Epoch: [13] [2750/5278] eta: 2:07:15 lr: 3.4492461160293466e-05 loss: 0.0893 (0.1036) loss_seg: 0.0890 (0.1031) loss_lansim: 0.0326 (0.0365) loss_contra: 0.0011 (0.0135) time: 3.1347 data: 0.0062 max mem: 31630 Epoch: [13] [2760/5278] eta: 2:06:46 lr: 3.4490239892638635e-05 loss: 0.0893 (0.1036) loss_seg: 0.0890 (0.1031) loss_lansim: 0.0326 (0.0365) loss_contra: 0.0010 (0.0134) time: 3.1336 data: 0.0063 max mem: 31630 Epoch: [13] [2770/5278] eta: 2:06:17 lr: 3.4488018609088594e-05 loss: 0.0922 (0.1036) loss_seg: 0.0916 (0.1031) loss_lansim: 0.0325 (0.0364) loss_contra: 0.0010 (0.0134) time: 3.1291 data: 0.0062 max mem: 31630 Epoch: [13] [2780/5278] eta: 2:05:48 lr: 3.448579730964209e-05 loss: 0.0935 (0.1036) loss_seg: 0.0932 (0.1031) loss_lansim: 0.0328 (0.0364) loss_contra: 0.0012 (0.0135) time: 3.1293 data: 0.0062 max mem: 31630 Epoch: [13] [2790/5278] eta: 2:05:19 lr: 3.448357599429788e-05 loss: 0.0922 (0.1036) loss_seg: 0.0916 (0.1031) loss_lansim: 0.0326 (0.0364) loss_contra: 0.0012 (0.0135) time: 3.1364 data: 0.0063 max mem: 31630 Epoch: [13] [2800/5278] eta: 2:04:51 lr: 3.448135466305471e-05 loss: 0.0935 (0.1037) loss_seg: 0.0932 (0.1032) loss_lansim: 0.0323 (0.0364) loss_contra: 0.0012 (0.0135) time: 3.1644 data: 0.0062 max mem: 31630 Epoch: [13] [2810/5278] eta: 2:04:29 lr: 3.447913331591133e-05 loss: 0.0907 (0.1036) loss_seg: 0.0903 (0.1031) loss_lansim: 0.0322 (0.0364) loss_contra: 0.0011 (0.0135) time: 3.2391 data: 0.0062 max mem: 31630 Epoch: [13] [2820/5278] eta: 2:04:00 lr: 3.447691195286648e-05 loss: 0.0901 (0.1036) loss_seg: 0.0895 (0.1031) loss_lansim: 0.0322 (0.0364) loss_contra: 0.0011 (0.0135) time: 3.2274 data: 0.0061 max mem: 31630 Epoch: [13] [2830/5278] eta: 2:03:33 lr: 3.447469057391891e-05 loss: 0.0940 (0.1036) loss_seg: 0.0932 (0.1031) loss_lansim: 0.0322 (0.0364) loss_contra: 0.0011 (0.0135) time: 3.2662 data: 0.0061 max mem: 31630 Epoch: [13] [2840/5278] eta: 2:03:04 lr: 3.447246917906739e-05 loss: 0.0935 (0.1035) loss_seg: 0.0931 (0.1030) loss_lansim: 0.0322 (0.0364) loss_contra: 0.0010 (0.0134) time: 3.2641 data: 0.0061 max mem: 31630 Epoch: [13] [2850/5278] eta: 2:02:35 lr: 3.447024776831062e-05 loss: 0.0935 (0.1035) loss_seg: 0.0931 (0.1030) loss_lansim: 0.0318 (0.0363) loss_contra: 0.0010 (0.0134) time: 3.2745 data: 0.0061 max mem: 31630 Epoch: [13] [2860/5278] eta: 2:02:05 lr: 3.44680263416474e-05 loss: 0.0912 (0.1035) loss_seg: 0.0906 (0.1030) loss_lansim: 0.0315 (0.0363) loss_contra: 0.0009 (0.0133) time: 3.2718 data: 0.0061 max mem: 31630 Epoch: [13] [2870/5278] eta: 2:01:36 lr: 3.4465804899076436e-05 loss: 0.0882 (0.1035) loss_seg: 0.0879 (0.1030) loss_lansim: 0.0316 (0.0363) loss_contra: 0.0009 (0.0133) time: 3.2748 data: 0.0062 max mem: 31630 Epoch: [13] [2880/5278] eta: 2:01:06 lr: 3.44635834405965e-05 loss: 0.0882 (0.1034) loss_seg: 0.0879 (0.1030) loss_lansim: 0.0313 (0.0363) loss_contra: 0.0009 (0.0133) time: 3.2726 data: 0.0061 max mem: 31630 Epoch: [13] [2890/5278] eta: 2:00:36 lr: 3.446136196620634e-05 loss: 0.0940 (0.1034) loss_seg: 0.0931 (0.1029) loss_lansim: 0.0310 (0.0363) loss_contra: 0.0010 (0.0133) time: 3.2599 data: 0.0061 max mem: 31630 Epoch: [13] [2900/5278] eta: 2:00:07 lr: 3.4459140475904675e-05 loss: 0.0949 (0.1034) loss_seg: 0.0945 (0.1029) loss_lansim: 0.0310 (0.0363) loss_contra: 0.0009 (0.0132) time: 3.2377 data: 0.0062 max mem: 31630 Epoch: [13] [2910/5278] eta: 1:59:37 lr: 3.445691896969027e-05 loss: 0.0923 (0.1034) loss_seg: 0.0919 (0.1029) loss_lansim: 0.0311 (0.0363) loss_contra: 0.0012 (0.0132) time: 3.1633 data: 0.0063 max mem: 31630 Epoch: [13] [2920/5278] eta: 1:59:08 lr: 3.445469744756188e-05 loss: 0.0923 (0.1034) loss_seg: 0.0919 (0.1029) loss_lansim: 0.0316 (0.0363) loss_contra: 0.0013 (0.0133) time: 3.1670 data: 0.0065 max mem: 31630 Epoch: [13] [2930/5278] eta: 1:58:38 lr: 3.445247590951822e-05 loss: 0.0923 (0.1034) loss_seg: 0.0919 (0.1029) loss_lansim: 0.0313 (0.0362) loss_contra: 0.0013 (0.0133) time: 3.1319 data: 0.0066 max mem: 31630 Epoch: [13] [2940/5278] eta: 1:58:09 lr: 3.4450254355558084e-05 loss: 0.0955 (0.1034) loss_seg: 0.0952 (0.1029) loss_lansim: 0.0311 (0.0362) loss_contra: 0.0016 (0.0132) time: 3.1296 data: 0.0067 max mem: 31630 Epoch: [13] [2950/5278] eta: 1:57:39 lr: 3.4448032785680176e-05 loss: 0.0949 (0.1033) loss_seg: 0.0946 (0.1028) loss_lansim: 0.0313 (0.0362) loss_contra: 0.0017 (0.0132) time: 3.1158 data: 0.0067 max mem: 31630 Epoch: [13] [2960/5278] eta: 1:57:09 lr: 3.4445811199883246e-05 loss: 0.0963 (0.1034) loss_seg: 0.0959 (0.1029) loss_lansim: 0.0314 (0.0362) loss_contra: 0.0020 (0.0132) time: 3.1193 data: 0.0067 max mem: 31630 Epoch: [13] [2970/5278] eta: 1:56:40 lr: 3.444358959816607e-05 loss: 0.0949 (0.1034) loss_seg: 0.0945 (0.1029) loss_lansim: 0.0314 (0.0362) loss_contra: 0.0020 (0.0132) time: 3.1263 data: 0.0067 max mem: 31630 Epoch: [13] [2980/5278] eta: 1:56:10 lr: 3.444136798052735e-05 loss: 0.0944 (0.1034) loss_seg: 0.0941 (0.1029) loss_lansim: 0.0314 (0.0362) loss_contra: 0.0020 (0.0131) time: 3.1203 data: 0.0067 max mem: 31630 Epoch: [13] [2990/5278] eta: 1:55:41 lr: 3.4439146346965864e-05 loss: 0.0923 (0.1033) loss_seg: 0.0919 (0.1028) loss_lansim: 0.0314 (0.0362) loss_contra: 0.0019 (0.0131) time: 3.1346 data: 0.0067 max mem: 31630 Epoch: [13] [3000/5278] eta: 1:55:11 lr: 3.4436924697480344e-05 loss: 0.0926 (0.1033) loss_seg: 0.0923 (0.1028) loss_lansim: 0.0313 (0.0361) loss_contra: 0.0020 (0.0131) time: 3.1323 data: 0.0067 max mem: 31630 Epoch: [13] [3010/5278] eta: 1:54:42 lr: 3.443470303206953e-05 loss: 0.0947 (0.1034) loss_seg: 0.0944 (0.1029) loss_lansim: 0.0314 (0.0361) loss_contra: 0.0019 (0.0131) time: 3.1294 data: 0.0066 max mem: 31630 Epoch: [13] [3020/5278] eta: 1:54:12 lr: 3.443248135073217e-05 loss: 0.0953 (0.1034) loss_seg: 0.0948 (0.1029) loss_lansim: 0.0310 (0.0361) loss_contra: 0.0017 (0.0131) time: 3.1284 data: 0.0065 max mem: 31630 Epoch: [13] [3030/5278] eta: 1:53:43 lr: 3.4430259653467016e-05 loss: 0.0953 (0.1034) loss_seg: 0.0948 (0.1029) loss_lansim: 0.0314 (0.0361) loss_contra: 0.0020 (0.0131) time: 3.1358 data: 0.0064 max mem: 31630 Epoch: [13] [3040/5278] eta: 1:53:14 lr: 3.44280379402728e-05 loss: 0.0926 (0.1033) loss_seg: 0.0923 (0.1028) loss_lansim: 0.0314 (0.0361) loss_contra: 0.0014 (0.0131) time: 3.1423 data: 0.0064 max mem: 31630 Epoch: [13] [3050/5278] eta: 1:52:43 lr: 3.4425816211148274e-05 loss: 0.0935 (0.1033) loss_seg: 0.0932 (0.1028) loss_lansim: 0.0310 (0.0361) loss_contra: 0.0014 (0.0131) time: 3.1395 data: 0.0064 max mem: 31630 Epoch: [13] [3060/5278] eta: 1:52:14 lr: 3.4423594466092175e-05 loss: 0.0935 (0.1034) loss_seg: 0.0932 (0.1029) loss_lansim: 0.0309 (0.0360) loss_contra: 0.0010 (0.0130) time: 3.1422 data: 0.0064 max mem: 31630 Epoch: [13] [3070/5278] eta: 1:51:44 lr: 3.442137270510325e-05 loss: 0.0938 (0.1033) loss_seg: 0.0934 (0.1029) loss_lansim: 0.0309 (0.0360) loss_contra: 0.0014 (0.0130) time: 3.1319 data: 0.0063 max mem: 31630 Epoch: [13] [3080/5278] eta: 1:51:14 lr: 3.441915092818024e-05 loss: 0.0939 (0.1034) loss_seg: 0.0935 (0.1029) loss_lansim: 0.0309 (0.0360) loss_contra: 0.0016 (0.0130) time: 3.1349 data: 0.0064 max mem: 31630 Epoch: [13] [3090/5278] eta: 1:50:45 lr: 3.441692913532189e-05 loss: 0.0958 (0.1035) loss_seg: 0.0948 (0.1030) loss_lansim: 0.0309 (0.0360) loss_contra: 0.0015 (0.0130) time: 3.1338 data: 0.0064 max mem: 31630 Epoch: [13] [3100/5278] eta: 1:50:15 lr: 3.441470732652695e-05 loss: 0.0983 (0.1035) loss_seg: 0.0980 (0.1030) loss_lansim: 0.0309 (0.0360) loss_contra: 0.0015 (0.0130) time: 3.1326 data: 0.0064 max mem: 31630 Epoch: [13] [3110/5278] eta: 1:49:45 lr: 3.4412485501794144e-05 loss: 0.0983 (0.1035) loss_seg: 0.0980 (0.1030) loss_lansim: 0.0305 (0.0360) loss_contra: 0.0016 (0.0129) time: 3.1379 data: 0.0065 max mem: 31630 Epoch: [13] [3120/5278] eta: 1:49:15 lr: 3.441026366112223e-05 loss: 0.0972 (0.1035) loss_seg: 0.0968 (0.1031) loss_lansim: 0.0309 (0.0360) loss_contra: 0.0015 (0.0129) time: 3.1270 data: 0.0065 max mem: 31630 Epoch: [13] [3130/5278] eta: 1:48:45 lr: 3.440804180450995e-05 loss: 0.0983 (0.1036) loss_seg: 0.0980 (0.1031) loss_lansim: 0.0307 (0.0360) loss_contra: 0.0014 (0.0129) time: 3.1237 data: 0.0066 max mem: 31630 Epoch: [13] [3140/5278] eta: 1:48:16 lr: 3.4405819931956024e-05 loss: 0.0989 (0.1035) loss_seg: 0.0985 (0.1031) loss_lansim: 0.0307 (0.0359) loss_contra: 0.0017 (0.0129) time: 3.1242 data: 0.0066 max mem: 31630 Epoch: [13] [3150/5278] eta: 1:47:46 lr: 3.4403598043459226e-05 loss: 0.0993 (0.1035) loss_seg: 0.0991 (0.1031) loss_lansim: 0.0310 (0.0359) loss_contra: 0.0014 (0.0128) time: 3.1237 data: 0.0066 max mem: 31630 Epoch: [13] [3160/5278] eta: 1:47:16 lr: 3.440137613901827e-05 loss: 0.0986 (0.1035) loss_seg: 0.0982 (0.1030) loss_lansim: 0.0313 (0.0359) loss_contra: 0.0011 (0.0128) time: 3.1284 data: 0.0066 max mem: 31630 Epoch: [13] [3170/5278] eta: 1:46:46 lr: 3.439915421863191e-05 loss: 0.0993 (0.1036) loss_seg: 0.0991 (0.1031) loss_lansim: 0.0312 (0.0359) loss_contra: 0.0009 (0.0128) time: 3.1252 data: 0.0066 max mem: 31630 Epoch: [13] [3180/5278] eta: 1:46:17 lr: 3.43969322822989e-05 loss: 0.0983 (0.1035) loss_seg: 0.0980 (0.1030) loss_lansim: 0.0315 (0.0359) loss_contra: 0.0008 (0.0127) time: 3.1348 data: 0.0067 max mem: 31630 Epoch: [13] [3190/5278] eta: 1:45:47 lr: 3.439471033001796e-05 loss: 0.0950 (0.1035) loss_seg: 0.0947 (0.1030) loss_lansim: 0.0315 (0.0359) loss_contra: 0.0008 (0.0127) time: 3.1274 data: 0.0066 max mem: 31630 Epoch: [13] [3200/5278] eta: 1:45:17 lr: 3.4392488361787837e-05 loss: 0.0919 (0.1035) loss_seg: 0.0915 (0.1031) loss_lansim: 0.0315 (0.0359) loss_contra: 0.0008 (0.0127) time: 3.1298 data: 0.0066 max mem: 31630 Epoch: [13] [3210/5278] eta: 1:44:48 lr: 3.4390266377607276e-05 loss: 0.0919 (0.1035) loss_seg: 0.0915 (0.1030) loss_lansim: 0.0317 (0.0359) loss_contra: 0.0006 (0.0127) time: 3.1328 data: 0.0066 max mem: 31630 Epoch: [13] [3220/5278] eta: 1:44:18 lr: 3.4388044377475006e-05 loss: 0.0934 (0.1035) loss_seg: 0.0930 (0.1030) loss_lansim: 0.0317 (0.0359) loss_contra: 0.0006 (0.0126) time: 3.1366 data: 0.0065 max mem: 31630 Epoch: [13] [3230/5278] eta: 1:43:48 lr: 3.4385822361389784e-05 loss: 0.0933 (0.1035) loss_seg: 0.0928 (0.1030) loss_lansim: 0.0322 (0.0359) loss_contra: 0.0007 (0.0127) time: 3.1406 data: 0.0065 max mem: 31630 Epoch: [13] [3240/5278] eta: 1:43:18 lr: 3.438360032935034e-05 loss: 0.0934 (0.1034) loss_seg: 0.0930 (0.1029) loss_lansim: 0.0328 (0.0359) loss_contra: 0.0007 (0.0127) time: 3.1277 data: 0.0066 max mem: 31630 Epoch: [13] [3250/5278] eta: 1:42:48 lr: 3.4381378281355406e-05 loss: 0.0913 (0.1034) loss_seg: 0.0910 (0.1029) loss_lansim: 0.0330 (0.0359) loss_contra: 0.0007 (0.0127) time: 3.1372 data: 0.0066 max mem: 31630 Epoch: [13] [3260/5278] eta: 1:42:19 lr: 3.437915621740375e-05 loss: 0.0934 (0.1034) loss_seg: 0.0930 (0.1029) loss_lansim: 0.0327 (0.0359) loss_contra: 0.0008 (0.0127) time: 3.1430 data: 0.0066 max mem: 31630 Epoch: [13] [3270/5278] eta: 1:41:48 lr: 3.4376934137494073e-05 loss: 0.0933 (0.1034) loss_seg: 0.0928 (0.1029) loss_lansim: 0.0330 (0.0359) loss_contra: 0.0009 (0.0127) time: 3.1349 data: 0.0066 max mem: 31630 Epoch: [13] [3280/5278] eta: 1:41:19 lr: 3.437471204162514e-05 loss: 0.0934 (0.1034) loss_seg: 0.0930 (0.1029) loss_lansim: 0.0341 (0.0359) loss_contra: 0.0011 (0.0127) time: 3.1378 data: 0.0066 max mem: 31630 Epoch: [13] [3290/5278] eta: 1:40:49 lr: 3.437248992979569e-05 loss: 0.0935 (0.1034) loss_seg: 0.0930 (0.1029) loss_lansim: 0.0343 (0.0359) loss_contra: 0.0012 (0.0127) time: 3.1377 data: 0.0066 max mem: 31630 Epoch: [13] [3300/5278] eta: 1:40:19 lr: 3.437026780200445e-05 loss: 0.0940 (0.1034) loss_seg: 0.0932 (0.1029) loss_lansim: 0.0343 (0.0358) loss_contra: 0.0014 (0.0127) time: 3.1437 data: 0.0066 max mem: 31630 Epoch: [13] [3310/5278] eta: 1:39:49 lr: 3.4368045658250164e-05 loss: 0.0977 (0.1035) loss_seg: 0.0973 (0.1030) loss_lansim: 0.0349 (0.0359) loss_contra: 0.0018 (0.0126) time: 3.1354 data: 0.0066 max mem: 31630 Epoch: [13] [3320/5278] eta: 1:39:19 lr: 3.436582349853157e-05 loss: 0.0942 (0.1034) loss_seg: 0.0939 (0.1029) loss_lansim: 0.0349 (0.0358) loss_contra: 0.0020 (0.0126) time: 3.1381 data: 0.0067 max mem: 31630 Epoch: [13] [3330/5278] eta: 1:38:50 lr: 3.436360132284741e-05 loss: 0.0942 (0.1034) loss_seg: 0.0939 (0.1030) loss_lansim: 0.0343 (0.0359) loss_contra: 0.0019 (0.0126) time: 3.1391 data: 0.0066 max mem: 31630 Epoch: [13] [3340/5278] eta: 1:38:27 lr: 3.436137913119643e-05 loss: 0.0977 (0.1035) loss_seg: 0.0973 (0.1030) loss_lansim: 0.0343 (0.0359) loss_contra: 0.0018 (0.0125) time: 3.2658 data: 0.0065 max mem: 31630 Epoch: [13] [3350/5278] eta: 1:37:59 lr: 3.435915692357734e-05 loss: 0.1009 (0.1035) loss_seg: 0.1002 (0.1030) loss_lansim: 0.0344 (0.0359) loss_contra: 0.0017 (0.0125) time: 3.2979 data: 0.0064 max mem: 31630 Epoch: [13] [3360/5278] eta: 1:37:30 lr: 3.43569346999889e-05 loss: 0.1009 (0.1035) loss_seg: 0.1000 (0.1030) loss_lansim: 0.0344 (0.0359) loss_contra: 0.0014 (0.0126) time: 3.3101 data: 0.0063 max mem: 31630 Epoch: [13] [3370/5278] eta: 1:37:03 lr: 3.435471246042984e-05 loss: 0.0950 (0.1034) loss_seg: 0.0946 (0.1029) loss_lansim: 0.0342 (0.0358) loss_contra: 0.0014 (0.0126) time: 3.3701 data: 0.0064 max mem: 31630 Epoch: [13] [3380/5278] eta: 1:36:32 lr: 3.43524902048989e-05 loss: 0.0950 (0.1034) loss_seg: 0.0946 (0.1029) loss_lansim: 0.0339 (0.0358) loss_contra: 0.0014 (0.0126) time: 3.3570 data: 0.0063 max mem: 31630 Epoch: [13] [3390/5278] eta: 1:36:03 lr: 3.4350267933394826e-05 loss: 0.0950 (0.1035) loss_seg: 0.0946 (0.1030) loss_lansim: 0.0343 (0.0359) loss_contra: 0.0014 (0.0126) time: 3.3641 data: 0.0064 max mem: 31630 Epoch: [13] [3400/5278] eta: 1:35:32 lr: 3.434804564591634e-05 loss: 0.0950 (0.1035) loss_seg: 0.0946 (0.1030) loss_lansim: 0.0343 (0.0359) loss_contra: 0.0016 (0.0126) time: 3.3600 data: 0.0064 max mem: 31630 Epoch: [13] [3410/5278] eta: 1:35:02 lr: 3.434582334246218e-05 loss: 0.0938 (0.1035) loss_seg: 0.0932 (0.1030) loss_lansim: 0.0344 (0.0359) loss_contra: 0.0018 (0.0126) time: 3.3551 data: 0.0064 max mem: 31630 Epoch: [13] [3420/5278] eta: 1:34:32 lr: 3.4343601023031094e-05 loss: 0.0950 (0.1035) loss_seg: 0.0946 (0.1030) loss_lansim: 0.0353 (0.0359) loss_contra: 0.0017 (0.0126) time: 3.3624 data: 0.0064 max mem: 31630 Epoch: [13] [3430/5278] eta: 1:34:02 lr: 3.43413786876218e-05 loss: 0.0950 (0.1035) loss_seg: 0.0946 (0.1030) loss_lansim: 0.0353 (0.0359) loss_contra: 0.0017 (0.0126) time: 3.3522 data: 0.0065 max mem: 31630 Epoch: [13] [3440/5278] eta: 1:33:32 lr: 3.433915633623307e-05 loss: 0.0946 (0.1034) loss_seg: 0.0943 (0.1030) loss_lansim: 0.0346 (0.0359) loss_contra: 0.0021 (0.0126) time: 3.2347 data: 0.0066 max mem: 31630 Epoch: [13] [3450/5278] eta: 1:33:01 lr: 3.43369339688636e-05 loss: 0.0938 (0.1034) loss_seg: 0.0932 (0.1029) loss_lansim: 0.0349 (0.0359) loss_contra: 0.0028 (0.0125) time: 3.1954 data: 0.0067 max mem: 31630 Epoch: [13] [3460/5278] eta: 1:32:31 lr: 3.433471158551214e-05 loss: 0.0932 (0.1034) loss_seg: 0.0927 (0.1029) loss_lansim: 0.0349 (0.0359) loss_contra: 0.0028 (0.0125) time: 3.1754 data: 0.0068 max mem: 31630 Epoch: [13] [3470/5278] eta: 1:32:02 lr: 3.4332489186177435e-05 loss: 0.0939 (0.1034) loss_seg: 0.0935 (0.1029) loss_lansim: 0.0353 (0.0359) loss_contra: 0.0028 (0.0125) time: 3.1364 data: 0.0068 max mem: 31630 Epoch: [13] [3480/5278] eta: 1:31:31 lr: 3.43302667708582e-05 loss: 0.0946 (0.1034) loss_seg: 0.0943 (0.1029) loss_lansim: 0.0353 (0.0359) loss_contra: 0.0020 (0.0125) time: 3.1373 data: 0.0068 max mem: 31630 Epoch: [13] [3490/5278] eta: 1:31:02 lr: 3.43280443395532e-05 loss: 0.0946 (0.1034) loss_seg: 0.0943 (0.1029) loss_lansim: 0.0350 (0.0359) loss_contra: 0.0021 (0.0125) time: 3.1374 data: 0.0068 max mem: 31630 Epoch: [13] [3500/5278] eta: 1:30:31 lr: 3.432582189226115e-05 loss: 0.0940 (0.1034) loss_seg: 0.0935 (0.1029) loss_lansim: 0.0350 (0.0359) loss_contra: 0.0020 (0.0126) time: 3.1344 data: 0.0068 max mem: 31630 Epoch: [13] [3510/5278] eta: 1:30:01 lr: 3.432359942898077e-05 loss: 0.0952 (0.1034) loss_seg: 0.0949 (0.1029) loss_lansim: 0.0346 (0.0358) loss_contra: 0.0017 (0.0125) time: 3.1392 data: 0.0068 max mem: 31630 Epoch: [13] [3520/5278] eta: 1:29:31 lr: 3.432137694971084e-05 loss: 0.0938 (0.1033) loss_seg: 0.0933 (0.1029) loss_lansim: 0.0346 (0.0358) loss_contra: 0.0020 (0.0125) time: 3.1369 data: 0.0068 max mem: 31630 Epoch: [13] [3530/5278] eta: 1:29:01 lr: 3.4319154454450045e-05 loss: 0.0939 (0.1033) loss_seg: 0.0933 (0.1028) loss_lansim: 0.0350 (0.0358) loss_contra: 0.0016 (0.0125) time: 3.1386 data: 0.0069 max mem: 31630 Epoch: [13] [3540/5278] eta: 1:28:31 lr: 3.431693194319715e-05 loss: 0.0930 (0.1033) loss_seg: 0.0926 (0.1028) loss_lansim: 0.0351 (0.0358) loss_contra: 0.0016 (0.0125) time: 3.1375 data: 0.0069 max mem: 31630 Epoch: [13] [3550/5278] eta: 1:28:00 lr: 3.4314709415950894e-05 loss: 0.0940 (0.1033) loss_seg: 0.0933 (0.1028) loss_lansim: 0.0350 (0.0358) loss_contra: 0.0017 (0.0125) time: 3.1414 data: 0.0068 max mem: 31630 Epoch: [13] [3560/5278] eta: 1:27:30 lr: 3.431248687270997e-05 loss: 0.0952 (0.1033) loss_seg: 0.0949 (0.1028) loss_lansim: 0.0350 (0.0358) loss_contra: 0.0019 (0.0125) time: 3.1357 data: 0.0068 max mem: 31630 Epoch: [13] [3570/5278] eta: 1:27:00 lr: 3.431026431347316e-05 loss: 0.0940 (0.1033) loss_seg: 0.0933 (0.1028) loss_lansim: 0.0350 (0.0358) loss_contra: 0.0019 (0.0125) time: 3.1239 data: 0.0067 max mem: 31630 Epoch: [13] [3580/5278] eta: 1:26:29 lr: 3.430804173823917e-05 loss: 0.0940 (0.1035) loss_seg: 0.0933 (0.1030) loss_lansim: 0.0346 (0.0358) loss_contra: 0.0021 (0.0125) time: 3.1251 data: 0.0067 max mem: 31630 Epoch: [13] [3590/5278] eta: 1:25:59 lr: 3.430581914700674e-05 loss: 0.0952 (0.1035) loss_seg: 0.0948 (0.1030) loss_lansim: 0.0346 (0.0358) loss_contra: 0.0019 (0.0125) time: 3.1203 data: 0.0066 max mem: 31630 Epoch: [13] [3600/5278] eta: 1:25:28 lr: 3.4303596539774616e-05 loss: 0.0952 (0.1035) loss_seg: 0.0948 (0.1030) loss_lansim: 0.0350 (0.0358) loss_contra: 0.0019 (0.0125) time: 3.1083 data: 0.0066 max mem: 31630 Epoch: [13] [3610/5278] eta: 1:24:58 lr: 3.4301373916541504e-05 loss: 0.0953 (0.1035) loss_seg: 0.0949 (0.1030) loss_lansim: 0.0345 (0.0358) loss_contra: 0.0019 (0.0125) time: 3.1054 data: 0.0065 max mem: 31630 Epoch: [13] [3620/5278] eta: 1:24:27 lr: 3.429915127730615e-05 loss: 0.0979 (0.1035) loss_seg: 0.0974 (0.1030) loss_lansim: 0.0340 (0.0358) loss_contra: 0.0019 (0.0125) time: 3.0974 data: 0.0064 max mem: 31630 Epoch: [13] [3630/5278] eta: 1:23:57 lr: 3.4296928622067295e-05 loss: 0.0979 (0.1035) loss_seg: 0.0974 (0.1030) loss_lansim: 0.0341 (0.0358) loss_contra: 0.0020 (0.0125) time: 3.0926 data: 0.0064 max mem: 31630 Epoch: [13] [3640/5278] eta: 1:23:26 lr: 3.429470595082366e-05 loss: 0.0979 (0.1035) loss_seg: 0.0974 (0.1030) loss_lansim: 0.0341 (0.0358) loss_contra: 0.0021 (0.0125) time: 3.0858 data: 0.0064 max mem: 31630 Epoch: [13] [3650/5278] eta: 1:22:56 lr: 3.4292483263573984e-05 loss: 0.0952 (0.1034) loss_seg: 0.0941 (0.1029) loss_lansim: 0.0337 (0.0358) loss_contra: 0.0021 (0.0125) time: 3.0783 data: 0.0063 max mem: 31630 Epoch: [13] [3660/5278] eta: 1:22:25 lr: 3.4290260560316994e-05 loss: 0.0953 (0.1034) loss_seg: 0.0948 (0.1029) loss_lansim: 0.0338 (0.0358) loss_contra: 0.0021 (0.0125) time: 3.0746 data: 0.0063 max mem: 31630 Epoch: [13] [3670/5278] eta: 1:21:55 lr: 3.4288037841051426e-05 loss: 0.0953 (0.1034) loss_seg: 0.0948 (0.1029) loss_lansim: 0.0338 (0.0358) loss_contra: 0.0026 (0.0125) time: 3.0728 data: 0.0062 max mem: 31630 Epoch: [13] [3680/5278] eta: 1:21:24 lr: 3.4285815105776015e-05 loss: 0.0925 (0.1033) loss_seg: 0.0921 (0.1029) loss_lansim: 0.0343 (0.0358) loss_contra: 0.0018 (0.0125) time: 3.0692 data: 0.0062 max mem: 31630 Epoch: [13] [3690/5278] eta: 1:20:54 lr: 3.428359235448948e-05 loss: 0.0920 (0.1033) loss_seg: 0.0917 (0.1028) loss_lansim: 0.0343 (0.0358) loss_contra: 0.0021 (0.0125) time: 3.0618 data: 0.0062 max mem: 31630 Epoch: [13] [3700/5278] eta: 1:20:23 lr: 3.4281369587190556e-05 loss: 0.0918 (0.1033) loss_seg: 0.0914 (0.1028) loss_lansim: 0.0343 (0.0358) loss_contra: 0.0025 (0.0125) time: 3.0655 data: 0.0062 max mem: 31630 Epoch: [13] [3710/5278] eta: 1:19:53 lr: 3.427914680387799e-05 loss: 0.0909 (0.1033) loss_seg: 0.0905 (0.1029) loss_lansim: 0.0338 (0.0358) loss_contra: 0.0016 (0.0125) time: 3.0685 data: 0.0062 max mem: 31630 Epoch: [13] [3720/5278] eta: 1:19:23 lr: 3.427692400455049e-05 loss: 0.0909 (0.1034) loss_seg: 0.0905 (0.1029) loss_lansim: 0.0341 (0.0358) loss_contra: 0.0013 (0.0124) time: 3.0763 data: 0.0062 max mem: 31630 Epoch: [13] [3730/5278] eta: 1:18:52 lr: 3.42747011892068e-05 loss: 0.0846 (0.1033) loss_seg: 0.0843 (0.1028) loss_lansim: 0.0336 (0.0358) loss_contra: 0.0012 (0.0124) time: 3.0773 data: 0.0061 max mem: 31630 Epoch: [13] [3740/5278] eta: 1:18:22 lr: 3.4272478357845644e-05 loss: 0.0902 (0.1034) loss_seg: 0.0898 (0.1029) loss_lansim: 0.0343 (0.0358) loss_contra: 0.0010 (0.0124) time: 3.0827 data: 0.0060 max mem: 31630 Epoch: [13] [3750/5278] eta: 1:17:51 lr: 3.427025551046576e-05 loss: 0.0925 (0.1034) loss_seg: 0.0921 (0.1029) loss_lansim: 0.0353 (0.0358) loss_contra: 0.0009 (0.0123) time: 3.0874 data: 0.0061 max mem: 31630 Epoch: [13] [3760/5278] eta: 1:17:21 lr: 3.4268032647065875e-05 loss: 0.0926 (0.1035) loss_seg: 0.0922 (0.1030) loss_lansim: 0.0356 (0.0359) loss_contra: 0.0009 (0.0123) time: 3.0908 data: 0.0061 max mem: 31630 Epoch: [13] [3770/5278] eta: 1:16:51 lr: 3.426580976764472e-05 loss: 0.0926 (0.1034) loss_seg: 0.0922 (0.1030) loss_lansim: 0.0357 (0.0359) loss_contra: 0.0008 (0.0123) time: 3.0936 data: 0.0061 max mem: 31630 Epoch: [13] [3780/5278] eta: 1:16:20 lr: 3.426358687220102e-05 loss: 0.0948 (0.1034) loss_seg: 0.0944 (0.1029) loss_lansim: 0.0357 (0.0359) loss_contra: 0.0008 (0.0123) time: 3.0914 data: 0.0062 max mem: 31630 Epoch: [13] [3790/5278] eta: 1:15:50 lr: 3.42613639607335e-05 loss: 0.0981 (0.1034) loss_seg: 0.0976 (0.1030) loss_lansim: 0.0363 (0.0359) loss_contra: 0.0009 (0.0122) time: 3.0953 data: 0.0062 max mem: 31630 Epoch: [13] [3800/5278] eta: 1:15:19 lr: 3.42591410332409e-05 loss: 0.1000 (0.1035) loss_seg: 0.0997 (0.1031) loss_lansim: 0.0366 (0.0359) loss_contra: 0.0009 (0.0122) time: 3.1115 data: 0.0062 max mem: 31630 Epoch: [13] [3810/5278] eta: 1:14:49 lr: 3.425691808972195e-05 loss: 0.0981 (0.1035) loss_seg: 0.0976 (0.1030) loss_lansim: 0.0374 (0.0359) loss_contra: 0.0009 (0.0122) time: 3.1055 data: 0.0062 max mem: 31630 Epoch: [13] [3820/5278] eta: 1:14:19 lr: 3.425469513017537e-05 loss: 0.1000 (0.1035) loss_seg: 0.0997 (0.1031) loss_lansim: 0.0378 (0.0359) loss_contra: 0.0010 (0.0122) time: 3.1020 data: 0.0062 max mem: 31630 Epoch: [13] [3830/5278] eta: 1:13:48 lr: 3.42524721545999e-05 loss: 0.1009 (0.1035) loss_seg: 0.1005 (0.1030) loss_lansim: 0.0379 (0.0359) loss_contra: 0.0012 (0.0122) time: 3.1095 data: 0.0063 max mem: 31630 Epoch: [13] [3840/5278] eta: 1:13:18 lr: 3.425024916299426e-05 loss: 0.1005 (0.1035) loss_seg: 0.1002 (0.1030) loss_lansim: 0.0379 (0.0359) loss_contra: 0.0012 (0.0122) time: 3.1012 data: 0.0063 max mem: 31630 Epoch: [13] [3850/5278] eta: 1:12:47 lr: 3.4248026155357165e-05 loss: 0.1000 (0.1035) loss_seg: 0.0997 (0.1030) loss_lansim: 0.0379 (0.0359) loss_contra: 0.0012 (0.0121) time: 3.1008 data: 0.0063 max mem: 31630 Epoch: [13] [3860/5278] eta: 1:12:17 lr: 3.424580313168738e-05 loss: 0.0966 (0.1034) loss_seg: 0.0963 (0.1030) loss_lansim: 0.0382 (0.0359) loss_contra: 0.0013 (0.0121) time: 3.1004 data: 0.0063 max mem: 31630 Epoch: [13] [3870/5278] eta: 1:11:46 lr: 3.4243580091983594e-05 loss: 0.0956 (0.1034) loss_seg: 0.0951 (0.1029) loss_lansim: 0.0386 (0.0359) loss_contra: 0.0015 (0.0121) time: 3.0954 data: 0.0063 max mem: 31630 Epoch: [13] [3880/5278] eta: 1:11:19 lr: 3.4241357036244556e-05 loss: 0.0935 (0.1034) loss_seg: 0.0930 (0.1029) loss_lansim: 0.0382 (0.0359) loss_contra: 0.0017 (0.0121) time: 3.1952 data: 0.0063 max mem: 31630 Epoch: [13] [3890/5278] eta: 1:10:49 lr: 3.4239133964469e-05 loss: 0.0928 (0.1034) loss_seg: 0.0923 (0.1029) loss_lansim: 0.0382 (0.0359) loss_contra: 0.0016 (0.0121) time: 3.1961 data: 0.0062 max mem: 31630 Epoch: [13] [3900/5278] eta: 1:10:19 lr: 3.423691087665564e-05 loss: 0.0928 (0.1034) loss_seg: 0.0923 (0.1029) loss_lansim: 0.0378 (0.0360) loss_contra: 0.0022 (0.0121) time: 3.1969 data: 0.0062 max mem: 31630 Epoch: [13] [3910/5278] eta: 1:09:48 lr: 3.42346877728032e-05 loss: 0.0935 (0.1034) loss_seg: 0.0930 (0.1029) loss_lansim: 0.0379 (0.0360) loss_contra: 0.0024 (0.0122) time: 3.1999 data: 0.0062 max mem: 31630 Epoch: [13] [3920/5278] eta: 1:09:18 lr: 3.4232464652910414e-05 loss: 0.0919 (0.1034) loss_seg: 0.0915 (0.1029) loss_lansim: 0.0377 (0.0360) loss_contra: 0.0020 (0.0121) time: 3.1978 data: 0.0063 max mem: 31630 Epoch: [13] [3930/5278] eta: 1:08:47 lr: 3.4230241516976004e-05 loss: 0.0884 (0.1034) loss_seg: 0.0878 (0.1029) loss_lansim: 0.0372 (0.0360) loss_contra: 0.0020 (0.0121) time: 3.1947 data: 0.0063 max mem: 31630 Epoch: [13] [3940/5278] eta: 1:08:16 lr: 3.422801836499871e-05 loss: 0.0902 (0.1034) loss_seg: 0.0898 (0.1029) loss_lansim: 0.0371 (0.0360) loss_contra: 0.0020 (0.0122) time: 3.1948 data: 0.0063 max mem: 31630 Epoch: [13] [3950/5278] eta: 1:07:46 lr: 3.422579519697724e-05 loss: 0.0924 (0.1034) loss_seg: 0.0920 (0.1030) loss_lansim: 0.0368 (0.0360) loss_contra: 0.0020 (0.0122) time: 3.1961 data: 0.0063 max mem: 31630 Epoch: [13] [3960/5278] eta: 1:07:15 lr: 3.422357201291033e-05 loss: 0.0938 (0.1035) loss_seg: 0.0933 (0.1030) loss_lansim: 0.0366 (0.0360) loss_contra: 0.0021 (0.0122) time: 3.1923 data: 0.0064 max mem: 31630 Epoch: [13] [3970/5278] eta: 1:06:45 lr: 3.422134881279672e-05 loss: 0.0965 (0.1035) loss_seg: 0.0955 (0.1030) loss_lansim: 0.0366 (0.0360) loss_contra: 0.0027 (0.0123) time: 3.1923 data: 0.0064 max mem: 31630 Epoch: [13] [3980/5278] eta: 1:06:14 lr: 3.42191255966351e-05 loss: 0.0965 (0.1034) loss_seg: 0.0955 (0.1029) loss_lansim: 0.0366 (0.0360) loss_contra: 0.0028 (0.0123) time: 3.1045 data: 0.0064 max mem: 31630 Epoch: [13] [3990/5278] eta: 1:05:44 lr: 3.421690236442423e-05 loss: 0.0965 (0.1034) loss_seg: 0.0959 (0.1029) loss_lansim: 0.0366 (0.0360) loss_contra: 0.0031 (0.0123) time: 3.1031 data: 0.0065 max mem: 31630 Epoch: [13] [4000/5278] eta: 1:05:13 lr: 3.421467911616282e-05 loss: 0.0956 (0.1034) loss_seg: 0.0952 (0.1029) loss_lansim: 0.0366 (0.0360) loss_contra: 0.0034 (0.0123) time: 3.0911 data: 0.0065 max mem: 31630 Epoch: [13] [4010/5278] eta: 1:04:43 lr: 3.421245585184959e-05 loss: 0.0948 (0.1034) loss_seg: 0.0944 (0.1030) loss_lansim: 0.0366 (0.0360) loss_contra: 0.0035 (0.0123) time: 3.0935 data: 0.0064 max mem: 31630 Epoch: [13] [4020/5278] eta: 1:04:13 lr: 3.4210232571483284e-05 loss: 0.0956 (0.1034) loss_seg: 0.0952 (0.1029) loss_lansim: 0.0367 (0.0360) loss_contra: 0.0037 (0.0123) time: 3.0999 data: 0.0064 max mem: 31630 Epoch: [13] [4030/5278] eta: 1:03:42 lr: 3.4208009275062606e-05 loss: 0.0964 (0.1035) loss_seg: 0.0955 (0.1030) loss_lansim: 0.0368 (0.0360) loss_contra: 0.0037 (0.0123) time: 3.0923 data: 0.0065 max mem: 31630 Epoch: [13] [4040/5278] eta: 1:03:12 lr: 3.4205785962586296e-05 loss: 0.0964 (0.1035) loss_seg: 0.0955 (0.1030) loss_lansim: 0.0374 (0.0360) loss_contra: 0.0037 (0.0123) time: 3.1132 data: 0.0065 max mem: 31630 Epoch: [13] [4050/5278] eta: 1:02:41 lr: 3.4203562634053074e-05 loss: 0.0956 (0.1035) loss_seg: 0.0952 (0.1030) loss_lansim: 0.0377 (0.0360) loss_contra: 0.0037 (0.0123) time: 3.1090 data: 0.0065 max mem: 31630 Epoch: [13] [4060/5278] eta: 1:02:11 lr: 3.420133928946166e-05 loss: 0.0944 (0.1034) loss_seg: 0.0940 (0.1029) loss_lansim: 0.0379 (0.0360) loss_contra: 0.0033 (0.0123) time: 3.1183 data: 0.0064 max mem: 31630 Epoch: [13] [4070/5278] eta: 1:01:40 lr: 3.4199115928810784e-05 loss: 0.0944 (0.1034) loss_seg: 0.0940 (0.1030) loss_lansim: 0.0381 (0.0361) loss_contra: 0.0019 (0.0122) time: 3.1282 data: 0.0064 max mem: 31630 Epoch: [13] [4080/5278] eta: 1:01:10 lr: 3.419689255209916e-05 loss: 0.0945 (0.1035) loss_seg: 0.0940 (0.1030) loss_lansim: 0.0381 (0.0361) loss_contra: 0.0012 (0.0122) time: 3.1338 data: 0.0063 max mem: 31630 Epoch: [13] [4090/5278] eta: 1:00:40 lr: 3.4194669159325523e-05 loss: 0.0945 (0.1035) loss_seg: 0.0940 (0.1031) loss_lansim: 0.0383 (0.0361) loss_contra: 0.0011 (0.0122) time: 3.1293 data: 0.0063 max mem: 31630 Epoch: [13] [4100/5278] eta: 1:00:09 lr: 3.41924457504886e-05 loss: 0.0945 (0.1035) loss_seg: 0.0940 (0.1030) loss_lansim: 0.0384 (0.0361) loss_contra: 0.0011 (0.0122) time: 3.1411 data: 0.0063 max mem: 31630 Epoch: [13] [4110/5278] eta: 0:59:39 lr: 3.4190222325587095e-05 loss: 0.0930 (0.1035) loss_seg: 0.0926 (0.1030) loss_lansim: 0.0390 (0.0361) loss_contra: 0.0008 (0.0122) time: 3.1423 data: 0.0063 max mem: 31630 Epoch: [13] [4120/5278] eta: 0:59:09 lr: 3.418799888461974e-05 loss: 0.0950 (0.1035) loss_seg: 0.0945 (0.1030) loss_lansim: 0.0400 (0.0362) loss_contra: 0.0008 (0.0122) time: 3.1490 data: 0.0063 max mem: 31630 Epoch: [13] [4130/5278] eta: 0:58:38 lr: 3.418577542758527e-05 loss: 0.0930 (0.1035) loss_seg: 0.0926 (0.1030) loss_lansim: 0.0400 (0.0362) loss_contra: 0.0008 (0.0122) time: 3.1534 data: 0.0063 max mem: 31630 Epoch: [13] [4140/5278] eta: 0:58:08 lr: 3.41835519544824e-05 loss: 0.0934 (0.1035) loss_seg: 0.0930 (0.1030) loss_lansim: 0.0410 (0.0362) loss_contra: 0.0009 (0.0122) time: 3.1415 data: 0.0062 max mem: 31630 Epoch: [13] [4150/5278] eta: 0:57:37 lr: 3.418132846530984e-05 loss: 0.0934 (0.1035) loss_seg: 0.0930 (0.1030) loss_lansim: 0.0413 (0.0362) loss_contra: 0.0011 (0.0122) time: 3.1473 data: 0.0063 max mem: 31630 Epoch: [13] [4160/5278] eta: 0:57:07 lr: 3.417910496006633e-05 loss: 0.0961 (0.1035) loss_seg: 0.0957 (0.1030) loss_lansim: 0.0408 (0.0362) loss_contra: 0.0012 (0.0122) time: 3.1438 data: 0.0064 max mem: 31630 Epoch: [13] [4170/5278] eta: 0:56:36 lr: 3.417688143875059e-05 loss: 0.0955 (0.1035) loss_seg: 0.0951 (0.1030) loss_lansim: 0.0406 (0.0362) loss_contra: 0.0011 (0.0121) time: 3.1431 data: 0.0064 max mem: 31630 Epoch: [13] [4180/5278] eta: 0:56:06 lr: 3.4174657901361335e-05 loss: 0.0955 (0.1035) loss_seg: 0.0951 (0.1030) loss_lansim: 0.0406 (0.0362) loss_contra: 0.0013 (0.0121) time: 3.1301 data: 0.0064 max mem: 31630 Epoch: [13] [4190/5278] eta: 0:55:35 lr: 3.417243434789729e-05 loss: 0.0950 (0.1035) loss_seg: 0.0945 (0.1030) loss_lansim: 0.0405 (0.0362) loss_contra: 0.0013 (0.0121) time: 3.1417 data: 0.0064 max mem: 31630 Epoch: [13] [4200/5278] eta: 0:55:05 lr: 3.4170210778357163e-05 loss: 0.0955 (0.1035) loss_seg: 0.0951 (0.1030) loss_lansim: 0.0407 (0.0363) loss_contra: 0.0012 (0.0121) time: 3.1277 data: 0.0064 max mem: 31630 Epoch: [13] [4210/5278] eta: 0:54:34 lr: 3.4167987192739704e-05 loss: 0.0963 (0.1035) loss_seg: 0.0957 (0.1030) loss_lansim: 0.0408 (0.0363) loss_contra: 0.0012 (0.0121) time: 3.1301 data: 0.0064 max mem: 31630 Epoch: [13] [4220/5278] eta: 0:54:04 lr: 3.416576359104361e-05 loss: 0.0963 (0.1036) loss_seg: 0.0957 (0.1031) loss_lansim: 0.0411 (0.0363) loss_contra: 0.0012 (0.0121) time: 3.1235 data: 0.0064 max mem: 31630 Epoch: [13] [4230/5278] eta: 0:53:33 lr: 3.416353997326761e-05 loss: 0.0967 (0.1036) loss_seg: 0.0963 (0.1031) loss_lansim: 0.0425 (0.0363) loss_contra: 0.0012 (0.0120) time: 3.1282 data: 0.0064 max mem: 31630 Epoch: [13] [4240/5278] eta: 0:53:03 lr: 3.416131633941043e-05 loss: 0.0967 (0.1036) loss_seg: 0.0963 (0.1031) loss_lansim: 0.0431 (0.0364) loss_contra: 0.0012 (0.0120) time: 3.1293 data: 0.0064 max mem: 31630 Epoch: [13] [4250/5278] eta: 0:52:32 lr: 3.4159092689470787e-05 loss: 0.0964 (0.1036) loss_seg: 0.0961 (0.1032) loss_lansim: 0.0431 (0.0364) loss_contra: 0.0010 (0.0120) time: 3.1330 data: 0.0063 max mem: 31630 Epoch: [13] [4260/5278] eta: 0:52:02 lr: 3.41568690234474e-05 loss: 0.0965 (0.1037) loss_seg: 0.0961 (0.1032) loss_lansim: 0.0434 (0.0364) loss_contra: 0.0010 (0.0120) time: 3.1366 data: 0.0062 max mem: 31630 Epoch: [13] [4270/5278] eta: 0:51:31 lr: 3.415464534133898e-05 loss: 0.0995 (0.1037) loss_seg: 0.0990 (0.1032) loss_lansim: 0.0443 (0.0364) loss_contra: 0.0012 (0.0120) time: 3.1334 data: 0.0062 max mem: 31630 Epoch: [13] [4280/5278] eta: 0:51:01 lr: 3.415242164314427e-05 loss: 0.0994 (0.1037) loss_seg: 0.0987 (0.1032) loss_lansim: 0.0448 (0.0364) loss_contra: 0.0012 (0.0120) time: 3.1343 data: 0.0062 max mem: 31630 Epoch: [13] [4290/5278] eta: 0:50:30 lr: 3.415019792886196e-05 loss: 0.1000 (0.1039) loss_seg: 0.0996 (0.1034) loss_lansim: 0.0459 (0.0365) loss_contra: 0.0011 (0.0119) time: 3.1424 data: 0.0062 max mem: 31630 Epoch: [13] [4300/5278] eta: 0:50:00 lr: 3.41479741984908e-05 loss: 0.1006 (0.1039) loss_seg: 0.1001 (0.1034) loss_lansim: 0.0462 (0.0365) loss_contra: 0.0011 (0.0119) time: 3.1409 data: 0.0061 max mem: 31630 Epoch: [13] [4310/5278] eta: 0:49:29 lr: 3.41457504520295e-05 loss: 0.1027 (0.1039) loss_seg: 0.1022 (0.1034) loss_lansim: 0.0464 (0.0366) loss_contra: 0.0011 (0.0119) time: 3.1392 data: 0.0062 max mem: 31630 Epoch: [13] [4320/5278] eta: 0:48:59 lr: 3.414352668947676e-05 loss: 0.0988 (0.1039) loss_seg: 0.0974 (0.1034) loss_lansim: 0.0463 (0.0366) loss_contra: 0.0011 (0.0119) time: 3.1341 data: 0.0062 max mem: 31630 Epoch: [13] [4330/5278] eta: 0:48:28 lr: 3.4141302910831316e-05 loss: 0.0988 (0.1039) loss_seg: 0.0974 (0.1034) loss_lansim: 0.0464 (0.0366) loss_contra: 0.0011 (0.0119) time: 3.1372 data: 0.0062 max mem: 31630 Epoch: [13] [4340/5278] eta: 0:47:58 lr: 3.41390791160919e-05 loss: 0.1006 (0.1039) loss_seg: 0.1001 (0.1034) loss_lansim: 0.0461 (0.0366) loss_contra: 0.0010 (0.0119) time: 3.1382 data: 0.0063 max mem: 31630 Epoch: [13] [4350/5278] eta: 0:47:27 lr: 3.4136855305257195e-05 loss: 0.1049 (0.1039) loss_seg: 0.1043 (0.1035) loss_lansim: 0.0459 (0.0367) loss_contra: 0.0011 (0.0118) time: 3.1330 data: 0.0063 max mem: 31630 Epoch: [13] [4360/5278] eta: 0:46:57 lr: 3.413463147832595e-05 loss: 0.1051 (0.1039) loss_seg: 0.1046 (0.1035) loss_lansim: 0.0463 (0.0367) loss_contra: 0.0010 (0.0118) time: 3.1354 data: 0.0063 max mem: 31630 Epoch: [13] [4370/5278] eta: 0:46:26 lr: 3.4132407635296873e-05 loss: 0.1035 (0.1039) loss_seg: 0.1030 (0.1034) loss_lansim: 0.0456 (0.0367) loss_contra: 0.0010 (0.0118) time: 3.1355 data: 0.0064 max mem: 31630 Epoch: [13] [4380/5278] eta: 0:45:55 lr: 3.413018377616868e-05 loss: 0.0988 (0.1039) loss_seg: 0.0983 (0.1034) loss_lansim: 0.0456 (0.0367) loss_contra: 0.0008 (0.0119) time: 3.1393 data: 0.0064 max mem: 31630 Epoch: [13] [4390/5278] eta: 0:45:25 lr: 3.41279599009401e-05 loss: 0.0977 (0.1038) loss_seg: 0.0970 (0.1033) loss_lansim: 0.0446 (0.0367) loss_contra: 0.0011 (0.0119) time: 3.1260 data: 0.0064 max mem: 31630 Epoch: [13] [4400/5278] eta: 0:44:54 lr: 3.4125736009609835e-05 loss: 0.0943 (0.1038) loss_seg: 0.0939 (0.1033) loss_lansim: 0.0442 (0.0367) loss_contra: 0.0013 (0.0119) time: 3.1364 data: 0.0064 max mem: 31630 Epoch: [13] [4410/5278] eta: 0:44:24 lr: 3.41235121021766e-05 loss: 0.0939 (0.1038) loss_seg: 0.0934 (0.1033) loss_lansim: 0.0440 (0.0368) loss_contra: 0.0013 (0.0120) time: 3.1312 data: 0.0063 max mem: 31630 Epoch: [13] [4420/5278] eta: 0:43:53 lr: 3.4121288178639135e-05 loss: 0.0941 (0.1038) loss_seg: 0.0934 (0.1033) loss_lansim: 0.0440 (0.0368) loss_contra: 0.0013 (0.0120) time: 3.1344 data: 0.0063 max mem: 31630 Epoch: [13] [4430/5278] eta: 0:43:23 lr: 3.411906423899614e-05 loss: 0.0941 (0.1038) loss_seg: 0.0934 (0.1033) loss_lansim: 0.0441 (0.0368) loss_contra: 0.0014 (0.0120) time: 3.1343 data: 0.0063 max mem: 31630 Epoch: [13] [4440/5278] eta: 0:42:52 lr: 3.4116840283246335e-05 loss: 0.0931 (0.1038) loss_seg: 0.0926 (0.1033) loss_lansim: 0.0443 (0.0368) loss_contra: 0.0014 (0.0120) time: 3.1278 data: 0.0063 max mem: 31630 Epoch: [13] [4450/5278] eta: 0:42:21 lr: 3.411461631138844e-05 loss: 0.0914 (0.1038) loss_seg: 0.0910 (0.1033) loss_lansim: 0.0450 (0.0369) loss_contra: 0.0014 (0.0119) time: 3.1429 data: 0.0064 max mem: 31630 Epoch: [13] [4460/5278] eta: 0:41:51 lr: 3.411239232342116e-05 loss: 0.0903 (0.1038) loss_seg: 0.0897 (0.1033) loss_lansim: 0.0452 (0.0369) loss_contra: 0.0013 (0.0119) time: 3.1325 data: 0.0064 max mem: 31630 Epoch: [13] [4470/5278] eta: 0:41:20 lr: 3.4110168319343235e-05 loss: 0.0896 (0.1037) loss_seg: 0.0891 (0.1033) loss_lansim: 0.0461 (0.0369) loss_contra: 0.0013 (0.0119) time: 3.1385 data: 0.0065 max mem: 31630 Epoch: [13] [4480/5278] eta: 0:40:50 lr: 3.410794429915335e-05 loss: 0.0903 (0.1037) loss_seg: 0.0897 (0.1032) loss_lansim: 0.0465 (0.0370) loss_contra: 0.0012 (0.0119) time: 3.1404 data: 0.0065 max mem: 31630 Epoch: [13] [4490/5278] eta: 0:40:19 lr: 3.4105720262850243e-05 loss: 0.0901 (0.1037) loss_seg: 0.0896 (0.1032) loss_lansim: 0.0473 (0.0370) loss_contra: 0.0008 (0.0118) time: 3.1403 data: 0.0065 max mem: 31630 Epoch: [13] [4500/5278] eta: 0:39:49 lr: 3.4103496210432636e-05 loss: 0.0886 (0.1036) loss_seg: 0.0882 (0.1032) loss_lansim: 0.0484 (0.0370) loss_contra: 0.0007 (0.0118) time: 3.1522 data: 0.0066 max mem: 31630 Epoch: [13] [4510/5278] eta: 0:39:18 lr: 3.4101272141899217e-05 loss: 0.0868 (0.1036) loss_seg: 0.0860 (0.1031) loss_lansim: 0.0489 (0.0371) loss_contra: 0.0006 (0.0118) time: 3.1488 data: 0.0067 max mem: 31630 Epoch: [13] [4520/5278] eta: 0:38:47 lr: 3.4099048057248725e-05 loss: 0.0880 (0.1036) loss_seg: 0.0872 (0.1031) loss_lansim: 0.0496 (0.0371) loss_contra: 0.0006 (0.0118) time: 3.1521 data: 0.0067 max mem: 31630 Epoch: [13] [4530/5278] eta: 0:38:17 lr: 3.409682395647986e-05 loss: 0.0859 (0.1036) loss_seg: 0.0853 (0.1031) loss_lansim: 0.0496 (0.0371) loss_contra: 0.0006 (0.0118) time: 3.1442 data: 0.0067 max mem: 31630 Epoch: [13] [4540/5278] eta: 0:37:46 lr: 3.409459983959135e-05 loss: 0.0868 (0.1036) loss_seg: 0.0860 (0.1031) loss_lansim: 0.0489 (0.0371) loss_contra: 0.0006 (0.0119) time: 3.1555 data: 0.0066 max mem: 31630 Epoch: [13] [4550/5278] eta: 0:37:16 lr: 3.4092375706581905e-05 loss: 0.0859 (0.1036) loss_seg: 0.0853 (0.1031) loss_lansim: 0.0473 (0.0371) loss_contra: 0.0006 (0.0119) time: 3.1482 data: 0.0066 max mem: 31630 Epoch: [13] [4560/5278] eta: 0:36:45 lr: 3.409015155745023e-05 loss: 0.0859 (0.1036) loss_seg: 0.0853 (0.1031) loss_lansim: 0.0462 (0.0371) loss_contra: 0.0008 (0.0119) time: 3.1547 data: 0.0065 max mem: 31630 Epoch: [13] [4570/5278] eta: 0:36:15 lr: 3.408792739219506e-05 loss: 0.0835 (0.1036) loss_seg: 0.0832 (0.1031) loss_lansim: 0.0438 (0.0371) loss_contra: 0.0011 (0.0119) time: 3.1528 data: 0.0065 max mem: 31630 Epoch: [13] [4580/5278] eta: 0:35:44 lr: 3.408570321081509e-05 loss: 0.0846 (0.1036) loss_seg: 0.0840 (0.1031) loss_lansim: 0.0431 (0.0371) loss_contra: 0.0011 (0.0119) time: 3.1528 data: 0.0065 max mem: 31630 Epoch: [13] [4590/5278] eta: 0:35:13 lr: 3.4083479013309045e-05 loss: 0.0905 (0.1036) loss_seg: 0.0902 (0.1031) loss_lansim: 0.0425 (0.0371) loss_contra: 0.0013 (0.0118) time: 3.1477 data: 0.0065 max mem: 31630 Epoch: [13] [4600/5278] eta: 0:34:43 lr: 3.4081254799675636e-05 loss: 0.0836 (0.1036) loss_seg: 0.0832 (0.1031) loss_lansim: 0.0421 (0.0372) loss_contra: 0.0016 (0.0118) time: 3.1366 data: 0.0065 max mem: 31630 Epoch: [13] [4610/5278] eta: 0:34:12 lr: 3.407903056991357e-05 loss: 0.0907 (0.1036) loss_seg: 0.0902 (0.1031) loss_lansim: 0.0413 (0.0372) loss_contra: 0.0020 (0.0118) time: 3.1488 data: 0.0065 max mem: 31630 Epoch: [13] [4620/5278] eta: 0:33:42 lr: 3.4076806324021566e-05 loss: 0.0905 (0.1036) loss_seg: 0.0902 (0.1031) loss_lansim: 0.0397 (0.0372) loss_contra: 0.0020 (0.0118) time: 3.1576 data: 0.0064 max mem: 31630 Epoch: [13] [4630/5278] eta: 0:33:11 lr: 3.407458206199834e-05 loss: 0.0907 (0.1037) loss_seg: 0.0903 (0.1032) loss_lansim: 0.0384 (0.0372) loss_contra: 0.0019 (0.0118) time: 3.1539 data: 0.0065 max mem: 31630 Epoch: [13] [4640/5278] eta: 0:32:40 lr: 3.4072357783842594e-05 loss: 0.0906 (0.1037) loss_seg: 0.0902 (0.1032) loss_lansim: 0.0377 (0.0372) loss_contra: 0.0019 (0.0118) time: 3.1497 data: 0.0065 max mem: 31630 Epoch: [13] [4650/5278] eta: 0:32:10 lr: 3.407013348955306e-05 loss: 0.0925 (0.1037) loss_seg: 0.0918 (0.1032) loss_lansim: 0.0385 (0.0372) loss_contra: 0.0020 (0.0118) time: 3.1425 data: 0.0064 max mem: 31630 Epoch: [13] [4660/5278] eta: 0:31:39 lr: 3.406790917912843e-05 loss: 0.0953 (0.1037) loss_seg: 0.0950 (0.1032) loss_lansim: 0.0385 (0.0372) loss_contra: 0.0017 (0.0118) time: 3.1455 data: 0.0064 max mem: 31630 Epoch: [13] [4670/5278] eta: 0:31:08 lr: 3.406568485256743e-05 loss: 0.0982 (0.1037) loss_seg: 0.0978 (0.1032) loss_lansim: 0.0393 (0.0372) loss_contra: 0.0014 (0.0118) time: 3.1476 data: 0.0064 max mem: 31630 Epoch: [13] [4680/5278] eta: 0:30:38 lr: 3.406346050986877e-05 loss: 0.0979 (0.1037) loss_seg: 0.0975 (0.1032) loss_lansim: 0.0393 (0.0372) loss_contra: 0.0013 (0.0118) time: 3.1420 data: 0.0064 max mem: 31630 Epoch: [13] [4690/5278] eta: 0:30:07 lr: 3.406123615103116e-05 loss: 0.0932 (0.1036) loss_seg: 0.0929 (0.1031) loss_lansim: 0.0377 (0.0372) loss_contra: 0.0013 (0.0117) time: 3.1509 data: 0.0063 max mem: 31630 Epoch: [13] [4700/5278] eta: 0:29:36 lr: 3.405901177605331e-05 loss: 0.0982 (0.1036) loss_seg: 0.0978 (0.1031) loss_lansim: 0.0365 (0.0372) loss_contra: 0.0013 (0.0117) time: 3.1448 data: 0.0062 max mem: 31630 Epoch: [13] [4710/5278] eta: 0:29:06 lr: 3.405678738493393e-05 loss: 0.0979 (0.1036) loss_seg: 0.0975 (0.1031) loss_lansim: 0.0353 (0.0372) loss_contra: 0.0012 (0.0117) time: 3.1328 data: 0.0063 max mem: 31630 Epoch: [13] [4720/5278] eta: 0:28:35 lr: 3.405456297767174e-05 loss: 0.0975 (0.1036) loss_seg: 0.0959 (0.1032) loss_lansim: 0.0346 (0.0372) loss_contra: 0.0012 (0.0117) time: 3.1215 data: 0.0064 max mem: 31630 Epoch: [13] [4730/5278] eta: 0:28:04 lr: 3.405233855426545e-05 loss: 0.0975 (0.1037) loss_seg: 0.0959 (0.1032) loss_lansim: 0.0344 (0.0372) loss_contra: 0.0010 (0.0117) time: 3.1348 data: 0.0063 max mem: 31630 Epoch: [13] [4740/5278] eta: 0:27:34 lr: 3.405011411471376e-05 loss: 0.0979 (0.1037) loss_seg: 0.0975 (0.1032) loss_lansim: 0.0342 (0.0372) loss_contra: 0.0009 (0.0117) time: 3.1344 data: 0.0064 max mem: 31630 Epoch: [13] [4750/5278] eta: 0:27:03 lr: 3.404788965901539e-05 loss: 0.0979 (0.1037) loss_seg: 0.0975 (0.1032) loss_lansim: 0.0336 (0.0372) loss_contra: 0.0010 (0.0118) time: 3.1323 data: 0.0064 max mem: 31630 Epoch: [13] [4760/5278] eta: 0:26:32 lr: 3.4045665187169056e-05 loss: 0.0960 (0.1038) loss_seg: 0.0950 (0.1033) loss_lansim: 0.0335 (0.0372) loss_contra: 0.0013 (0.0118) time: 3.1323 data: 0.0064 max mem: 31630 Epoch: [13] [4770/5278] eta: 0:26:02 lr: 3.404344069917344e-05 loss: 0.0932 (0.1037) loss_seg: 0.0929 (0.1032) loss_lansim: 0.0331 (0.0371) loss_contra: 0.0015 (0.0118) time: 3.1253 data: 0.0064 max mem: 31630 Epoch: [13] [4780/5278] eta: 0:25:31 lr: 3.4041216195027295e-05 loss: 0.0941 (0.1037) loss_seg: 0.0936 (0.1032) loss_lansim: 0.0335 (0.0371) loss_contra: 0.0023 (0.0118) time: 3.1273 data: 0.0065 max mem: 31630 Epoch: [13] [4790/5278] eta: 0:25:00 lr: 3.40389916747293e-05 loss: 0.0950 (0.1037) loss_seg: 0.0947 (0.1032) loss_lansim: 0.0331 (0.0371) loss_contra: 0.0023 (0.0118) time: 3.1286 data: 0.0065 max mem: 31630 Epoch: [13] [4800/5278] eta: 0:24:29 lr: 3.403676713827818e-05 loss: 0.0941 (0.1037) loss_seg: 0.0936 (0.1032) loss_lansim: 0.0327 (0.0371) loss_contra: 0.0017 (0.0118) time: 3.1318 data: 0.0064 max mem: 31630 Epoch: [13] [4810/5278] eta: 0:23:59 lr: 3.403454258567264e-05 loss: 0.0948 (0.1037) loss_seg: 0.0944 (0.1032) loss_lansim: 0.0329 (0.0371) loss_contra: 0.0016 (0.0118) time: 3.1451 data: 0.0064 max mem: 31630 Epoch: [13] [4820/5278] eta: 0:23:28 lr: 3.4032318016911384e-05 loss: 0.0963 (0.1037) loss_seg: 0.0958 (0.1032) loss_lansim: 0.0340 (0.0372) loss_contra: 0.0017 (0.0118) time: 3.1343 data: 0.0064 max mem: 31630 Epoch: [13] [4830/5278] eta: 0:22:57 lr: 3.4030093431993124e-05 loss: 0.0981 (0.1038) loss_seg: 0.0978 (0.1033) loss_lansim: 0.0353 (0.0372) loss_contra: 0.0036 (0.0118) time: 3.1365 data: 0.0064 max mem: 31630 Epoch: [13] [4840/5278] eta: 0:22:27 lr: 3.402786883091658e-05 loss: 0.1032 (0.1039) loss_seg: 0.1025 (0.1034) loss_lansim: 0.0369 (0.0372) loss_contra: 0.0039 (0.0118) time: 3.1358 data: 0.0064 max mem: 31630 Epoch: [13] [4850/5278] eta: 0:21:56 lr: 3.402564421368044e-05 loss: 0.1033 (0.1040) loss_seg: 0.1025 (0.1035) loss_lansim: 0.0388 (0.0372) loss_contra: 0.0031 (0.0118) time: 3.1463 data: 0.0063 max mem: 31630 Epoch: [13] [4860/5278] eta: 0:21:25 lr: 3.4023419580283436e-05 loss: 0.1074 (0.1041) loss_seg: 0.1069 (0.1036) loss_lansim: 0.0408 (0.0372) loss_contra: 0.0036 (0.0118) time: 3.1450 data: 0.0063 max mem: 31630 Epoch: [13] [4870/5278] eta: 0:20:55 lr: 3.402119493072426e-05 loss: 0.1131 (0.1041) loss_seg: 0.1126 (0.1036) loss_lansim: 0.0416 (0.0372) loss_contra: 0.0034 (0.0118) time: 3.1430 data: 0.0062 max mem: 31630 Epoch: [13] [4880/5278] eta: 0:20:24 lr: 3.401897026500162e-05 loss: 0.1147 (0.1041) loss_seg: 0.1143 (0.1036) loss_lansim: 0.0428 (0.0373) loss_contra: 0.0032 (0.0118) time: 3.1520 data: 0.0062 max mem: 31630 Epoch: [13] [4890/5278] eta: 0:19:53 lr: 3.401674558311424e-05 loss: 0.1198 (0.1042) loss_seg: 0.1194 (0.1037) loss_lansim: 0.0433 (0.0373) loss_contra: 0.0034 (0.0118) time: 3.1487 data: 0.0061 max mem: 31630 Epoch: [13] [4900/5278] eta: 0:19:22 lr: 3.401452088506081e-05 loss: 0.1212 (0.1042) loss_seg: 0.1208 (0.1037) loss_lansim: 0.0437 (0.0373) loss_contra: 0.0035 (0.0118) time: 3.1469 data: 0.0062 max mem: 31630 Epoch: [13] [4910/5278] eta: 0:18:52 lr: 3.401229617084004e-05 loss: 0.1212 (0.1042) loss_seg: 0.1208 (0.1037) loss_lansim: 0.0437 (0.0373) loss_contra: 0.0049 (0.0118) time: 3.1531 data: 0.0062 max mem: 31630 Epoch: [13] [4920/5278] eta: 0:18:21 lr: 3.401007144045065e-05 loss: 0.1207 (0.1042) loss_seg: 0.1203 (0.1037) loss_lansim: 0.0430 (0.0373) loss_contra: 0.0040 (0.0119) time: 3.1621 data: 0.0061 max mem: 31630 Epoch: [13] [4930/5278] eta: 0:17:51 lr: 3.400784669389133e-05 loss: 0.1147 (0.1042) loss_seg: 0.1143 (0.1037) loss_lansim: 0.0429 (0.0373) loss_contra: 0.0029 (0.0119) time: 3.2080 data: 0.0061 max mem: 31630 Epoch: [13] [4940/5278] eta: 0:17:20 lr: 3.400562193116081e-05 loss: 0.1143 (0.1043) loss_seg: 0.1140 (0.1038) loss_lansim: 0.0430 (0.0373) loss_contra: 0.0029 (0.0119) time: 3.2043 data: 0.0060 max mem: 31630 Epoch: [13] [4950/5278] eta: 0:16:49 lr: 3.400339715225778e-05 loss: 0.1137 (0.1043) loss_seg: 0.1133 (0.1038) loss_lansim: 0.0426 (0.0373) loss_contra: 0.0025 (0.0119) time: 3.2065 data: 0.0061 max mem: 31630 Epoch: [13] [4960/5278] eta: 0:16:19 lr: 3.400117235718095e-05 loss: 0.1108 (0.1043) loss_seg: 0.1103 (0.1038) loss_lansim: 0.0423 (0.0373) loss_contra: 0.0021 (0.0119) time: 3.1977 data: 0.0061 max mem: 31630 Epoch: [13] [4970/5278] eta: 0:15:48 lr: 3.399894754592903e-05 loss: 0.1081 (0.1043) loss_seg: 0.1076 (0.1038) loss_lansim: 0.0418 (0.0373) loss_contra: 0.0027 (0.0119) time: 3.2068 data: 0.0061 max mem: 31630 Epoch: [13] [4980/5278] eta: 0:15:17 lr: 3.399672271850072e-05 loss: 0.1073 (0.1044) loss_seg: 0.1063 (0.1039) loss_lansim: 0.0413 (0.0373) loss_contra: 0.0027 (0.0119) time: 3.1939 data: 0.0061 max mem: 31630 Epoch: [13] [4990/5278] eta: 0:14:46 lr: 3.399449787489473e-05 loss: 0.1055 (0.1045) loss_seg: 0.1049 (0.1040) loss_lansim: 0.0412 (0.0374) loss_contra: 0.0023 (0.0120) time: 3.1867 data: 0.0061 max mem: 31630 Epoch: [13] [5000/5278] eta: 0:14:15 lr: 3.399227301510976e-05 loss: 0.1028 (0.1044) loss_seg: 0.1020 (0.1039) loss_lansim: 0.0407 (0.0374) loss_contra: 0.0027 (0.0120) time: 3.1901 data: 0.0061 max mem: 31630 Epoch: [13] [5010/5278] eta: 0:13:45 lr: 3.399004813914452e-05 loss: 0.1044 (0.1044) loss_seg: 0.1040 (0.1039) loss_lansim: 0.0407 (0.0374) loss_contra: 0.0023 (0.0120) time: 3.1702 data: 0.0061 max mem: 31630 Epoch: [13] [5020/5278] eta: 0:13:14 lr: 3.3987823246997724e-05 loss: 0.1024 (0.1044) loss_seg: 0.1018 (0.1039) loss_lansim: 0.0409 (0.0374) loss_contra: 0.0023 (0.0120) time: 3.1687 data: 0.0061 max mem: 31630 Epoch: [13] [5030/5278] eta: 0:12:43 lr: 3.398559833866807e-05 loss: 0.1028 (0.1044) loss_seg: 0.1020 (0.1039) loss_lansim: 0.0408 (0.0374) loss_contra: 0.0023 (0.0120) time: 3.1066 data: 0.0062 max mem: 31630 Epoch: [13] [5040/5278] eta: 0:12:12 lr: 3.3983373414154256e-05 loss: 0.1000 (0.1044) loss_seg: 0.0996 (0.1039) loss_lansim: 0.0404 (0.0374) loss_contra: 0.0023 (0.0120) time: 3.0996 data: 0.0062 max mem: 31630 Epoch: [13] [5050/5278] eta: 0:11:41 lr: 3.3981148473455006e-05 loss: 0.1022 (0.1045) loss_seg: 0.1018 (0.1040) loss_lansim: 0.0400 (0.0374) loss_contra: 0.0024 (0.0120) time: 3.0851 data: 0.0062 max mem: 31630 Epoch: [13] [5060/5278] eta: 0:11:11 lr: 3.3978923516569e-05 loss: 0.1022 (0.1045) loss_seg: 0.1018 (0.1040) loss_lansim: 0.0400 (0.0374) loss_contra: 0.0024 (0.0120) time: 3.0774 data: 0.0062 max mem: 31630 Epoch: [13] [5070/5278] eta: 0:10:40 lr: 3.397669854349497e-05 loss: 0.1022 (0.1046) loss_seg: 0.1018 (0.1041) loss_lansim: 0.0400 (0.0374) loss_contra: 0.0015 (0.0120) time: 3.0686 data: 0.0063 max mem: 31630 Epoch: [13] [5080/5278] eta: 0:10:09 lr: 3.397447355423159e-05 loss: 0.1019 (0.1046) loss_seg: 0.1014 (0.1041) loss_lansim: 0.0403 (0.0374) loss_contra: 0.0015 (0.0120) time: 3.0597 data: 0.0064 max mem: 31630 Epoch: [13] [5090/5278] eta: 0:09:38 lr: 3.397224854877759e-05 loss: 0.1022 (0.1046) loss_seg: 0.1018 (0.1041) loss_lansim: 0.0401 (0.0374) loss_contra: 0.0015 (0.0120) time: 3.0555 data: 0.0066 max mem: 31630 Epoch: [13] [5100/5278] eta: 0:09:07 lr: 3.397002352713166e-05 loss: 0.1036 (0.1046) loss_seg: 0.1029 (0.1041) loss_lansim: 0.0401 (0.0374) loss_contra: 0.0014 (0.0120) time: 3.0531 data: 0.0068 max mem: 31630 Epoch: [13] [5110/5278] eta: 0:08:37 lr: 3.396779848929251e-05 loss: 0.1036 (0.1046) loss_seg: 0.1029 (0.1041) loss_lansim: 0.0402 (0.0375) loss_contra: 0.0014 (0.0119) time: 3.0529 data: 0.0069 max mem: 31630 Epoch: [13] [5120/5278] eta: 0:08:06 lr: 3.3965573435258835e-05 loss: 0.1036 (0.1046) loss_seg: 0.1029 (0.1041) loss_lansim: 0.0400 (0.0375) loss_contra: 0.0013 (0.0119) time: 3.0429 data: 0.0071 max mem: 31630 Epoch: [13] [5130/5278] eta: 0:07:35 lr: 3.396334836502935e-05 loss: 0.1019 (0.1046) loss_seg: 0.1014 (0.1041) loss_lansim: 0.0402 (0.0375) loss_contra: 0.0010 (0.0119) time: 3.0442 data: 0.0074 max mem: 31630 Epoch: [13] [5140/5278] eta: 0:07:04 lr: 3.396112327860274e-05 loss: 0.0999 (0.1046) loss_seg: 0.0993 (0.1041) loss_lansim: 0.0402 (0.0375) loss_contra: 0.0010 (0.0119) time: 3.0460 data: 0.0076 max mem: 31630 Epoch: [13] [5150/5278] eta: 0:06:33 lr: 3.395889817597774e-05 loss: 0.0934 (0.1046) loss_seg: 0.0929 (0.1041) loss_lansim: 0.0402 (0.0375) loss_contra: 0.0010 (0.0119) time: 3.0441 data: 0.0077 max mem: 31630 Epoch: [13] [5160/5278] eta: 0:06:03 lr: 3.395667305715302e-05 loss: 0.0934 (0.1045) loss_seg: 0.0929 (0.1040) loss_lansim: 0.0403 (0.0375) loss_contra: 0.0010 (0.0119) time: 3.0408 data: 0.0078 max mem: 31630 Epoch: [13] [5170/5278] eta: 0:05:32 lr: 3.39544479221273e-05 loss: 0.0934 (0.1045) loss_seg: 0.0929 (0.1040) loss_lansim: 0.0402 (0.0375) loss_contra: 0.0010 (0.0119) time: 3.0360 data: 0.0077 max mem: 31630 Epoch: [13] [5180/5278] eta: 0:05:01 lr: 3.3952222770899285e-05 loss: 0.0933 (0.1045) loss_seg: 0.0928 (0.1040) loss_lansim: 0.0400 (0.0375) loss_contra: 0.0010 (0.0119) time: 3.0512 data: 0.0076 max mem: 31630 Epoch: [13] [5190/5278] eta: 0:04:30 lr: 3.394999760346766e-05 loss: 0.0933 (0.1046) loss_seg: 0.0928 (0.1041) loss_lansim: 0.0399 (0.0375) loss_contra: 0.0010 (0.0119) time: 3.0449 data: 0.0075 max mem: 31630 Epoch: [13] [5200/5278] eta: 0:04:00 lr: 3.394777241983114e-05 loss: 0.0933 (0.1046) loss_seg: 0.0928 (0.1041) loss_lansim: 0.0394 (0.0375) loss_contra: 0.0010 (0.0118) time: 3.0379 data: 0.0076 max mem: 31630 Epoch: [13] [5210/5278] eta: 0:03:29 lr: 3.3945547219988426e-05 loss: 0.0931 (0.1046) loss_seg: 0.0927 (0.1041) loss_lansim: 0.0392 (0.0375) loss_contra: 0.0010 (0.0118) time: 3.0490 data: 0.0075 max mem: 31630 Epoch: [13] [5220/5278] eta: 0:02:58 lr: 3.394332200393821e-05 loss: 0.0942 (0.1046) loss_seg: 0.0937 (0.1041) loss_lansim: 0.0384 (0.0375) loss_contra: 0.0010 (0.0118) time: 3.0557 data: 0.0073 max mem: 31630 Epoch: [13] [5230/5278] eta: 0:02:27 lr: 3.394109677167921e-05 loss: 0.0933 (0.1046) loss_seg: 0.0929 (0.1041) loss_lansim: 0.0380 (0.0375) loss_contra: 0.0010 (0.0118) time: 3.0525 data: 0.0071 max mem: 31630 Epoch: [13] [5240/5278] eta: 0:01:56 lr: 3.393887152321011e-05 loss: 0.0949 (0.1046) loss_seg: 0.0945 (0.1041) loss_lansim: 0.0372 (0.0375) loss_contra: 0.0010 (0.0118) time: 3.0612 data: 0.0069 max mem: 31630 Epoch: [13] [5250/5278] eta: 0:01:26 lr: 3.393664625852962e-05 loss: 0.1044 (0.1047) loss_seg: 0.1038 (0.1042) loss_lansim: 0.0365 (0.0375) loss_contra: 0.0010 (0.0117) time: 3.0630 data: 0.0068 max mem: 31630 Epoch: [13] [5260/5278] eta: 0:00:55 lr: 3.3934420977636456e-05 loss: 0.1053 (0.1046) loss_seg: 0.1049 (0.1042) loss_lansim: 0.0361 (0.0375) loss_contra: 0.0009 (0.0117) time: 3.0764 data: 0.0067 max mem: 31630 Epoch: [13] [5270/5278] eta: 0:00:24 lr: 3.393219568052928e-05 loss: 0.1044 (0.1046) loss_seg: 0.1038 (0.1042) loss_lansim: 0.0361 (0.0375) loss_contra: 0.0008 (0.0117) time: 3.0811 data: 0.0066 max mem: 31630 Epoch: [13] Total time: 4:30:46 Test: [ 0/2573] eta: 1:07:48 time: 1.5811 data: 1.4176 max mem: 31630 Test: [ 100/2573] eta: 0:06:32 time: 0.1445 data: 0.0016 max mem: 31630 Test: [ 200/2573] eta: 0:06:06 time: 0.1505 data: 0.0017 max mem: 31630 Test: [ 300/2573] eta: 0:05:44 time: 0.1453 data: 0.0017 max mem: 31630 Test: [ 400/2573] eta: 0:05:27 time: 0.1479 data: 0.0017 max mem: 31630 Test: [ 500/2573] eta: 0:05:10 time: 0.1469 data: 0.0017 max mem: 31630 Test: [ 600/2573] eta: 0:04:55 time: 0.1505 data: 0.0018 max mem: 31630 Test: [ 700/2573] eta: 0:04:41 time: 0.1534 data: 0.0017 max mem: 31630 Test: [ 800/2573] eta: 0:04:26 time: 0.1509 data: 0.0018 max mem: 31630 Test: [ 900/2573] eta: 0:04:11 time: 0.1509 data: 0.0017 max mem: 31630 Test: [1000/2573] eta: 0:03:56 time: 0.1482 data: 0.0017 max mem: 31630 Test: [1100/2573] eta: 0:03:41 time: 0.1472 data: 0.0017 max mem: 31630 Test: [1200/2573] eta: 0:03:26 time: 0.1520 data: 0.0018 max mem: 31630 Test: [1300/2573] eta: 0:03:11 time: 0.1489 data: 0.0018 max mem: 31630 Test: [1400/2573] eta: 0:02:55 time: 0.1448 data: 0.0017 max mem: 31630 Test: [1500/2573] eta: 0:02:40 time: 0.1504 data: 0.0018 max mem: 31630 Test: [1600/2573] eta: 0:02:25 time: 0.1487 data: 0.0017 max mem: 31630 Test: [1700/2573] eta: 0:02:10 time: 0.1494 data: 0.0017 max mem: 31630 Test: [1800/2573] eta: 0:01:55 time: 0.1481 data: 0.0018 max mem: 31630 Test: [1900/2573] eta: 0:01:40 time: 0.1452 data: 0.0017 max mem: 31630 Test: [2000/2573] eta: 0:01:25 time: 0.1459 data: 0.0018 max mem: 31630 Test: [2100/2573] eta: 0:01:10 time: 0.1505 data: 0.0018 max mem: 31630 Test: [2200/2573] eta: 0:00:55 time: 0.1441 data: 0.0017 max mem: 31630 Test: [2300/2573] eta: 0:00:40 time: 0.1483 data: 0.0016 max mem: 31630 Test: [2400/2573] eta: 0:00:25 time: 0.1497 data: 0.0018 max mem: 31630 Test: [2500/2573] eta: 0:00:10 time: 0.1498 data: 0.0017 max mem: 31630 Test: Total time: 0:06:23 Final results: precision@0.5 = 63.56 precision@0.6 = 57.48 precision@0.7 = 49.39 precision@0.8 = 37.56 precision@0.9 = 16.38 overall IoU = 54.88 mean IoU = 56.52 Epoch: [14] [ 0/5278] eta: 6:59:30 lr: 3.393041543116861e-05 loss: 0.0860 (0.0860) loss_seg: 0.0856 (0.0856) loss_lansim: 0.0350 (0.0350) loss_contra: 0.0001 (0.0001) time: 4.7690 data: 1.6115 max mem: 31630 Epoch: [14] [ 10/5278] eta: 4:45:21 lr: 3.392819010487299e-05 loss: 0.0851 (0.0829) loss_seg: 0.0848 (0.0824) loss_lansim: 0.0354 (0.0354) loss_contra: 0.0003 (0.0148) time: 3.2501 data: 0.1519 max mem: 31630 Epoch: [14] [ 20/5278] eta: 4:37:01 lr: 3.3925964762359734e-05 loss: 0.0834 (0.0859) loss_seg: 0.0831 (0.0854) loss_lansim: 0.0350 (0.0346) loss_contra: 0.0007 (0.0105) time: 3.1611 data: 0.0822 max mem: 31630 Epoch: [14] [ 30/5278] eta: 4:50:58 lr: 3.392373940362755e-05 loss: 0.0843 (0.0861) loss_seg: 0.0840 (0.0857) loss_lansim: 0.0339 (0.0343) loss_contra: 0.0007 (0.0084) time: 3.3266 data: 0.0578 max mem: 31630 Epoch: [14] [ 40/5278] eta: 4:52:48 lr: 3.3921514028675144e-05 loss: 0.0834 (0.0915) loss_seg: 0.0831 (0.0910) loss_lansim: 0.0338 (0.0343) loss_contra: 0.0011 (0.0069) time: 3.3540 data: 0.0450 max mem: 31630 Epoch: [14] [ 50/5278] eta: 4:55:24 lr: 3.39192886375012e-05 loss: 0.0843 (0.0903) loss_seg: 0.0840 (0.0899) loss_lansim: 0.0339 (0.0342) loss_contra: 0.0012 (0.0080) time: 3.3903 data: 0.0374 max mem: 31630 Epoch: [14] [ 60/5278] eta: 4:50:34 lr: 3.3917063230104435e-05 loss: 0.0851 (0.0919) loss_seg: 0.0848 (0.0914) loss_lansim: 0.0339 (0.0344) loss_contra: 0.0014 (0.0085) time: 3.3412 data: 0.0322 max mem: 31630 Epoch: [14] [ 70/5278] eta: 4:47:14 lr: 3.391483780648353e-05 loss: 0.0855 (0.0933) loss_seg: 0.0851 (0.0929) loss_lansim: 0.0341 (0.0346) loss_contra: 0.0014 (0.0116) time: 3.3092 data: 0.0285 max mem: 31630 Epoch: [14] [ 80/5278] eta: 4:45:40 lr: 3.391261236663719e-05 loss: 0.0858 (0.0972) loss_seg: 0.0854 (0.0968) loss_lansim: 0.0342 (0.0349) loss_contra: 0.0014 (0.0104) time: 3.2975 data: 0.0259 max mem: 31630 Epoch: [14] [ 90/5278] eta: 4:43:26 lr: 3.3910386910564126e-05 loss: 0.0858 (0.0975) loss_seg: 0.0854 (0.0971) loss_lansim: 0.0346 (0.0352) loss_contra: 0.0016 (0.0104) time: 3.2780 data: 0.0237 max mem: 31630 Epoch: [14] [ 100/5278] eta: 4:41:53 lr: 3.3908161438263014e-05 loss: 0.0855 (0.0983) loss_seg: 0.0851 (0.0979) loss_lansim: 0.0346 (0.0354) loss_contra: 0.0016 (0.0098) time: 3.2514 data: 0.0060 max mem: 31630 Epoch: [14] [ 110/5278] eta: 4:40:48 lr: 3.390593594973257e-05 loss: 0.0858 (0.0976) loss_seg: 0.0854 (0.0971) loss_lansim: 0.0346 (0.0355) loss_contra: 0.0016 (0.0092) time: 3.2613 data: 0.0060 max mem: 31630 Epoch: [14] [ 120/5278] eta: 4:38:40 lr: 3.3903710444971485e-05 loss: 0.0869 (0.0986) loss_seg: 0.0865 (0.0982) loss_lansim: 0.0348 (0.0355) loss_contra: 0.0014 (0.0087) time: 3.2585 data: 0.0060 max mem: 31630 Epoch: [14] [ 130/5278] eta: 4:37:30 lr: 3.3901484923978454e-05 loss: 0.0886 (0.0986) loss_seg: 0.0882 (0.0981) loss_lansim: 0.0351 (0.0358) loss_contra: 0.0015 (0.0107) time: 3.2057 data: 0.0060 max mem: 31630 Epoch: [14] [ 140/5278] eta: 4:36:16 lr: 3.3899259386752185e-05 loss: 0.0886 (0.0979) loss_seg: 0.0882 (0.0974) loss_lansim: 0.0355 (0.0360) loss_contra: 0.0012 (0.0134) time: 3.1739 data: 0.0060 max mem: 31630 Epoch: [14] [ 150/5278] eta: 4:34:58 lr: 3.389703383329137e-05 loss: 0.0884 (0.0975) loss_seg: 0.0880 (0.0970) loss_lansim: 0.0355 (0.0359) loss_contra: 0.0015 (0.0164) time: 3.1292 data: 0.0060 max mem: 31630 Epoch: [14] [ 160/5278] eta: 4:34:13 lr: 3.3894808263594696e-05 loss: 0.0906 (0.0982) loss_seg: 0.0899 (0.0977) loss_lansim: 0.0356 (0.0362) loss_contra: 0.0017 (0.0160) time: 3.1377 data: 0.0060 max mem: 31630 Epoch: [14] [ 170/5278] eta: 4:33:02 lr: 3.389258267766088e-05 loss: 0.0886 (0.0984) loss_seg: 0.0882 (0.0978) loss_lansim: 0.0366 (0.0365) loss_contra: 0.0018 (0.0189) time: 3.1348 data: 0.0060 max mem: 31630 Epoch: [14] [ 180/5278] eta: 4:32:20 lr: 3.3890357075488605e-05 loss: 0.0884 (0.0979) loss_seg: 0.0880 (0.0974) loss_lansim: 0.0369 (0.0365) loss_contra: 0.0021 (0.0183) time: 3.1307 data: 0.0059 max mem: 31630 Epoch: [14] [ 190/5278] eta: 4:31:12 lr: 3.3888131457076566e-05 loss: 0.0883 (0.0973) loss_seg: 0.0865 (0.0968) loss_lansim: 0.0370 (0.0366) loss_contra: 0.0021 (0.0178) time: 3.1258 data: 0.0059 max mem: 31630 Epoch: [14] [ 200/5278] eta: 4:30:17 lr: 3.388590582242347e-05 loss: 0.0886 (0.0971) loss_seg: 0.0878 (0.0966) loss_lansim: 0.0370 (0.0366) loss_contra: 0.0021 (0.0172) time: 3.1204 data: 0.0060 max mem: 31630 Epoch: [14] [ 210/5278] eta: 4:29:43 lr: 3.3883680171528e-05 loss: 0.0883 (0.0968) loss_seg: 0.0865 (0.0962) loss_lansim: 0.0371 (0.0367) loss_contra: 0.0024 (0.0166) time: 3.1189 data: 0.0060 max mem: 31630 Epoch: [14] [ 220/5278] eta: 4:29:00 lr: 3.388145450438887e-05 loss: 0.0886 (0.0963) loss_seg: 0.0878 (0.0957) loss_lansim: 0.0373 (0.0369) loss_contra: 0.0021 (0.0160) time: 3.1299 data: 0.0061 max mem: 31630 Epoch: [14] [ 230/5278] eta: 4:28:22 lr: 3.387922882100475e-05 loss: 0.0886 (0.0973) loss_seg: 0.0882 (0.0968) loss_lansim: 0.0379 (0.0370) loss_contra: 0.0022 (0.0158) time: 3.1314 data: 0.0061 max mem: 31630 Epoch: [14] [ 240/5278] eta: 4:27:28 lr: 3.387700312137436e-05 loss: 0.0896 (0.0972) loss_seg: 0.0890 (0.0967) loss_lansim: 0.0379 (0.0374) loss_contra: 0.0027 (0.0158) time: 3.1282 data: 0.0061 max mem: 31630 Epoch: [14] [ 250/5278] eta: 4:26:38 lr: 3.38747774054964e-05 loss: 0.0920 (0.0974) loss_seg: 0.0916 (0.0969) loss_lansim: 0.0392 (0.0377) loss_contra: 0.0024 (0.0153) time: 3.1284 data: 0.0061 max mem: 31630 Epoch: [14] [ 260/5278] eta: 4:25:59 lr: 3.387255167336953e-05 loss: 0.0894 (0.0978) loss_seg: 0.0890 (0.0973) loss_lansim: 0.0401 (0.0379) loss_contra: 0.0022 (0.0149) time: 3.1252 data: 0.0061 max mem: 31630 Epoch: [14] [ 270/5278] eta: 4:25:14 lr: 3.3870325924992465e-05 loss: 0.0886 (0.0973) loss_seg: 0.0878 (0.0967) loss_lansim: 0.0403 (0.0382) loss_contra: 0.0020 (0.0146) time: 3.1277 data: 0.0060 max mem: 31630 Epoch: [14] [ 280/5278] eta: 4:24:57 lr: 3.386810016036391e-05 loss: 0.0886 (0.0971) loss_seg: 0.0882 (0.0965) loss_lansim: 0.0404 (0.0383) loss_contra: 0.0015 (0.0150) time: 3.1360 data: 0.0060 max mem: 31630 Epoch: [14] [ 290/5278] eta: 4:23:58 lr: 3.386587437948256e-05 loss: 0.0896 (0.0972) loss_seg: 0.0890 (0.0967) loss_lansim: 0.0409 (0.0384) loss_contra: 0.0013 (0.0146) time: 3.1316 data: 0.0059 max mem: 31630 Epoch: [14] [ 300/5278] eta: 4:23:20 lr: 3.386364858234709e-05 loss: 0.0913 (0.0973) loss_seg: 0.0909 (0.0968) loss_lansim: 0.0410 (0.0385) loss_contra: 0.0013 (0.0142) time: 3.1342 data: 0.0058 max mem: 31630 Epoch: [14] [ 310/5278] eta: 4:22:35 lr: 3.38614227689562e-05 loss: 0.0904 (0.0976) loss_seg: 0.0899 (0.0971) loss_lansim: 0.0415 (0.0387) loss_contra: 0.0013 (0.0138) time: 3.1252 data: 0.0058 max mem: 31630 Epoch: [14] [ 320/5278] eta: 4:22:01 lr: 3.385919693930859e-05 loss: 0.0913 (0.0978) loss_seg: 0.0909 (0.0972) loss_lansim: 0.0415 (0.0388) loss_contra: 0.0015 (0.0139) time: 3.1261 data: 0.0057 max mem: 31630 Epoch: [14] [ 330/5278] eta: 4:21:34 lr: 3.3856971093402965e-05 loss: 0.0894 (0.0973) loss_seg: 0.0890 (0.0968) loss_lansim: 0.0419 (0.0389) loss_contra: 0.0014 (0.0139) time: 3.1305 data: 0.0057 max mem: 31630 Epoch: [14] [ 340/5278] eta: 4:20:46 lr: 3.385474523123799e-05 loss: 0.0893 (0.0970) loss_seg: 0.0889 (0.0965) loss_lansim: 0.0417 (0.0389) loss_contra: 0.0013 (0.0137) time: 3.1275 data: 0.0057 max mem: 31630 Epoch: [14] [ 350/5278] eta: 4:20:06 lr: 3.38525193528124e-05 loss: 0.0868 (0.0965) loss_seg: 0.0864 (0.0960) loss_lansim: 0.0412 (0.0390) loss_contra: 0.0012 (0.0136) time: 3.1295 data: 0.0058 max mem: 31630 Epoch: [14] [ 360/5278] eta: 4:19:25 lr: 3.3850293458124835e-05 loss: 0.0827 (0.0960) loss_seg: 0.0819 (0.0955) loss_lansim: 0.0405 (0.0390) loss_contra: 0.0013 (0.0135) time: 3.1245 data: 0.0058 max mem: 31630 Epoch: [14] [ 370/5278] eta: 4:18:45 lr: 3.384806754717403e-05 loss: 0.0868 (0.0960) loss_seg: 0.0864 (0.0955) loss_lansim: 0.0402 (0.0391) loss_contra: 0.0012 (0.0132) time: 3.1242 data: 0.0058 max mem: 31630 Epoch: [14] [ 380/5278] eta: 4:18:18 lr: 3.384584161995866e-05 loss: 0.0809 (0.0953) loss_seg: 0.0805 (0.0948) loss_lansim: 0.0403 (0.0392) loss_contra: 0.0012 (0.0129) time: 3.1182 data: 0.0058 max mem: 31630 Epoch: [14] [ 390/5278] eta: 4:17:47 lr: 3.384361567647742e-05 loss: 0.0804 (0.0952) loss_seg: 0.0797 (0.0947) loss_lansim: 0.0402 (0.0391) loss_contra: 0.0013 (0.0128) time: 3.1325 data: 0.0059 max mem: 31630 Epoch: [14] [ 400/5278] eta: 4:17:13 lr: 3.3841389716729004e-05 loss: 0.0792 (0.0951) loss_seg: 0.0778 (0.0945) loss_lansim: 0.0400 (0.0391) loss_contra: 0.0012 (0.0129) time: 3.1338 data: 0.0059 max mem: 31630 Epoch: [14] [ 410/5278] eta: 4:16:28 lr: 3.383916374071211e-05 loss: 0.0815 (0.0951) loss_seg: 0.0811 (0.0945) loss_lansim: 0.0400 (0.0392) loss_contra: 0.0012 (0.0128) time: 3.1295 data: 0.0059 max mem: 31630 Epoch: [14] [ 420/5278] eta: 4:15:58 lr: 3.383693774842541e-05 loss: 0.0792 (0.0949) loss_seg: 0.0778 (0.0944) loss_lansim: 0.0399 (0.0393) loss_contra: 0.0012 (0.0129) time: 3.1316 data: 0.0060 max mem: 31630 Epoch: [14] [ 430/5278] eta: 4:15:19 lr: 3.383471173986762e-05 loss: 0.0787 (0.0945) loss_seg: 0.0778 (0.0940) loss_lansim: 0.0400 (0.0394) loss_contra: 0.0012 (0.0127) time: 3.1204 data: 0.0060 max mem: 31630 Epoch: [14] [ 440/5278] eta: 4:14:46 lr: 3.383248571503742e-05 loss: 0.0785 (0.0944) loss_seg: 0.0777 (0.0939) loss_lansim: 0.0396 (0.0394) loss_contra: 0.0012 (0.0125) time: 3.1293 data: 0.0060 max mem: 31630 Epoch: [14] [ 450/5278] eta: 4:14:16 lr: 3.38302596739335e-05 loss: 0.0781 (0.0942) loss_seg: 0.0777 (0.0937) loss_lansim: 0.0399 (0.0394) loss_contra: 0.0015 (0.0124) time: 3.1356 data: 0.0060 max mem: 31630 Epoch: [14] [ 460/5278] eta: 4:13:41 lr: 3.382803361655456e-05 loss: 0.0776 (0.0938) loss_seg: 0.0771 (0.0933) loss_lansim: 0.0400 (0.0396) loss_contra: 0.0012 (0.0121) time: 3.1385 data: 0.0060 max mem: 31630 Epoch: [14] [ 470/5278] eta: 4:13:05 lr: 3.382580754289928e-05 loss: 0.0776 (0.0937) loss_seg: 0.0771 (0.0932) loss_lansim: 0.0400 (0.0396) loss_contra: 0.0014 (0.0119) time: 3.1396 data: 0.0060 max mem: 31630 Epoch: [14] [ 480/5278] eta: 4:12:29 lr: 3.382358145296635e-05 loss: 0.0787 (0.0940) loss_seg: 0.0779 (0.0935) loss_lansim: 0.0397 (0.0396) loss_contra: 0.0012 (0.0117) time: 3.1315 data: 0.0061 max mem: 31630 Epoch: [14] [ 490/5278] eta: 4:11:49 lr: 3.382135534675448e-05 loss: 0.0787 (0.0938) loss_seg: 0.0779 (0.0933) loss_lansim: 0.0400 (0.0397) loss_contra: 0.0008 (0.0116) time: 3.1220 data: 0.0061 max mem: 31630 Epoch: [14] [ 500/5278] eta: 4:11:25 lr: 3.3819129224262336e-05 loss: 0.0793 (0.0939) loss_seg: 0.0790 (0.0934) loss_lansim: 0.0402 (0.0397) loss_contra: 0.0010 (0.0114) time: 3.1310 data: 0.0062 max mem: 31630 Epoch: [14] [ 510/5278] eta: 4:10:48 lr: 3.381690308548863e-05 loss: 0.0793 (0.0940) loss_seg: 0.0790 (0.0935) loss_lansim: 0.0403 (0.0397) loss_contra: 0.0008 (0.0112) time: 3.1357 data: 0.0062 max mem: 31630 Epoch: [14] [ 520/5278] eta: 4:10:20 lr: 3.381467693043203e-05 loss: 0.0793 (0.0941) loss_seg: 0.0790 (0.0936) loss_lansim: 0.0413 (0.0398) loss_contra: 0.0007 (0.0111) time: 3.1369 data: 0.0061 max mem: 31630 Epoch: [14] [ 530/5278] eta: 4:09:37 lr: 3.3812450759091234e-05 loss: 0.0851 (0.0945) loss_seg: 0.0846 (0.0940) loss_lansim: 0.0410 (0.0399) loss_contra: 0.0007 (0.0109) time: 3.1312 data: 0.0061 max mem: 31630 Epoch: [14] [ 540/5278] eta: 4:09:02 lr: 3.381022457146495e-05 loss: 0.0865 (0.0943) loss_seg: 0.0860 (0.0938) loss_lansim: 0.0413 (0.0399) loss_contra: 0.0006 (0.0108) time: 3.1279 data: 0.0061 max mem: 31630 Epoch: [14] [ 550/5278] eta: 4:08:35 lr: 3.3807998367551835e-05 loss: 0.0876 (0.0942) loss_seg: 0.0871 (0.0937) loss_lansim: 0.0414 (0.0400) loss_contra: 0.0006 (0.0106) time: 3.1306 data: 0.0061 max mem: 31630 Epoch: [14] [ 560/5278] eta: 4:07:55 lr: 3.380577214735061e-05 loss: 0.0881 (0.0940) loss_seg: 0.0878 (0.0935) loss_lansim: 0.0413 (0.0401) loss_contra: 0.0006 (0.0105) time: 3.1240 data: 0.0061 max mem: 31630 Epoch: [14] [ 570/5278] eta: 4:07:23 lr: 3.3803545910859935e-05 loss: 0.0881 (0.0941) loss_seg: 0.0878 (0.0936) loss_lansim: 0.0413 (0.0401) loss_contra: 0.0006 (0.0105) time: 3.1269 data: 0.0061 max mem: 31630 Epoch: [14] [ 580/5278] eta: 4:07:00 lr: 3.3801319658078514e-05 loss: 0.0881 (0.0943) loss_seg: 0.0878 (0.0938) loss_lansim: 0.0413 (0.0402) loss_contra: 0.0008 (0.0104) time: 3.1407 data: 0.0060 max mem: 31630 Epoch: [14] [ 590/5278] eta: 4:06:27 lr: 3.379909338900505e-05 loss: 0.0885 (0.0943) loss_seg: 0.0881 (0.0938) loss_lansim: 0.0414 (0.0402) loss_contra: 0.0008 (0.0103) time: 3.1471 data: 0.0060 max mem: 31630 Epoch: [14] [ 600/5278] eta: 4:05:49 lr: 3.37968671036382e-05 loss: 0.0882 (0.0942) loss_seg: 0.0878 (0.0937) loss_lansim: 0.0416 (0.0403) loss_contra: 0.0009 (0.0103) time: 3.1310 data: 0.0060 max mem: 31630 Epoch: [14] [ 610/5278] eta: 4:05:22 lr: 3.3794640801976676e-05 loss: 0.0882 (0.0949) loss_seg: 0.0878 (0.0944) loss_lansim: 0.0418 (0.0403) loss_contra: 0.0010 (0.0101) time: 3.1425 data: 0.0060 max mem: 31630 Epoch: [14] [ 620/5278] eta: 4:04:44 lr: 3.379241448401916e-05 loss: 0.0881 (0.0947) loss_seg: 0.0878 (0.0942) loss_lansim: 0.0414 (0.0403) loss_contra: 0.0010 (0.0100) time: 3.1303 data: 0.0061 max mem: 31630 Epoch: [14] [ 630/5278] eta: 4:04:10 lr: 3.379018814976432e-05 loss: 0.0881 (0.0948) loss_seg: 0.0878 (0.0943) loss_lansim: 0.0420 (0.0404) loss_contra: 0.0010 (0.0099) time: 3.1391 data: 0.0061 max mem: 31630 Epoch: [14] [ 640/5278] eta: 4:03:37 lr: 3.378796179921088e-05 loss: 0.0877 (0.0948) loss_seg: 0.0872 (0.0943) loss_lansim: 0.0423 (0.0404) loss_contra: 0.0010 (0.0098) time: 3.1408 data: 0.0061 max mem: 31630 Epoch: [14] [ 650/5278] eta: 4:03:01 lr: 3.3785735432357505e-05 loss: 0.0890 (0.0949) loss_seg: 0.0885 (0.0944) loss_lansim: 0.0421 (0.0405) loss_contra: 0.0010 (0.0096) time: 3.1293 data: 0.0061 max mem: 31630 Epoch: [14] [ 660/5278] eta: 4:02:35 lr: 3.378350904920288e-05 loss: 0.0894 (0.0949) loss_seg: 0.0888 (0.0944) loss_lansim: 0.0426 (0.0406) loss_contra: 0.0010 (0.0095) time: 3.1454 data: 0.0062 max mem: 31630 Epoch: [14] [ 670/5278] eta: 4:01:57 lr: 3.378128264974571e-05 loss: 0.0877 (0.0949) loss_seg: 0.0872 (0.0944) loss_lansim: 0.0426 (0.0406) loss_contra: 0.0010 (0.0094) time: 3.1373 data: 0.0061 max mem: 31630 Epoch: [14] [ 680/5278] eta: 4:01:23 lr: 3.377905623398466e-05 loss: 0.0871 (0.0951) loss_seg: 0.0867 (0.0946) loss_lansim: 0.0431 (0.0407) loss_contra: 0.0009 (0.0094) time: 3.1234 data: 0.0062 max mem: 31630 Epoch: [14] [ 690/5278] eta: 4:00:47 lr: 3.377682980191843e-05 loss: 0.0877 (0.0950) loss_seg: 0.0872 (0.0945) loss_lansim: 0.0430 (0.0407) loss_contra: 0.0009 (0.0093) time: 3.1178 data: 0.0062 max mem: 31630 Epoch: [14] [ 700/5278] eta: 4:00:13 lr: 3.3774603353545706e-05 loss: 0.0894 (0.0951) loss_seg: 0.0888 (0.0946) loss_lansim: 0.0426 (0.0407) loss_contra: 0.0008 (0.0092) time: 3.1207 data: 0.0062 max mem: 31630 Epoch: [14] [ 710/5278] eta: 3:59:45 lr: 3.3772376888865157e-05 loss: 0.0899 (0.0952) loss_seg: 0.0893 (0.0947) loss_lansim: 0.0423 (0.0407) loss_contra: 0.0007 (0.0091) time: 3.1202 data: 0.0062 max mem: 31630 Epoch: [14] [ 720/5278] eta: 3:59:10 lr: 3.3770150407875496e-05 loss: 0.0910 (0.0954) loss_seg: 0.0906 (0.0949) loss_lansim: 0.0423 (0.0408) loss_contra: 0.0008 (0.0090) time: 3.1232 data: 0.0062 max mem: 31630 Epoch: [14] [ 730/5278] eta: 3:58:41 lr: 3.376792391057539e-05 loss: 0.0899 (0.0955) loss_seg: 0.0894 (0.0950) loss_lansim: 0.0415 (0.0407) loss_contra: 0.0007 (0.0090) time: 3.1292 data: 0.0062 max mem: 31630 Epoch: [14] [ 740/5278] eta: 3:58:04 lr: 3.376569739696353e-05 loss: 0.0913 (0.0953) loss_seg: 0.0909 (0.0948) loss_lansim: 0.0410 (0.0406) loss_contra: 0.0008 (0.0089) time: 3.1224 data: 0.0063 max mem: 31630 Epoch: [14] [ 750/5278] eta: 3:57:33 lr: 3.376347086703861e-05 loss: 0.0898 (0.0952) loss_seg: 0.0893 (0.0947) loss_lansim: 0.0404 (0.0406) loss_contra: 0.0008 (0.0088) time: 3.1286 data: 0.0063 max mem: 31630 Epoch: [14] [ 760/5278] eta: 3:57:01 lr: 3.3761244320799294e-05 loss: 0.0898 (0.0950) loss_seg: 0.0894 (0.0945) loss_lansim: 0.0393 (0.0405) loss_contra: 0.0010 (0.0088) time: 3.1208 data: 0.0062 max mem: 31630 Epoch: [14] [ 770/5278] eta: 3:56:27 lr: 3.375901775824429e-05 loss: 0.0902 (0.0950) loss_seg: 0.0898 (0.0945) loss_lansim: 0.0381 (0.0404) loss_contra: 0.0011 (0.0088) time: 3.1254 data: 0.0062 max mem: 31630 Epoch: [14] [ 780/5278] eta: 3:55:59 lr: 3.375679117937227e-05 loss: 0.0918 (0.0952) loss_seg: 0.0909 (0.0947) loss_lansim: 0.0374 (0.0403) loss_contra: 0.0012 (0.0093) time: 3.1332 data: 0.0062 max mem: 31630 Epoch: [14] [ 790/5278] eta: 3:55:23 lr: 3.375456458418191e-05 loss: 0.0910 (0.0953) loss_seg: 0.0903 (0.0948) loss_lansim: 0.0359 (0.0403) loss_contra: 0.0013 (0.0096) time: 3.1335 data: 0.0063 max mem: 31630 Epoch: [14] [ 800/5278] eta: 3:54:52 lr: 3.375233797267192e-05 loss: 0.0902 (0.0955) loss_seg: 0.0898 (0.0950) loss_lansim: 0.0351 (0.0402) loss_contra: 0.0015 (0.0095) time: 3.1371 data: 0.0062 max mem: 31630 Epoch: [14] [ 810/5278] eta: 3:54:15 lr: 3.375011134484096e-05 loss: 0.0867 (0.0956) loss_seg: 0.0864 (0.0951) loss_lansim: 0.0346 (0.0402) loss_contra: 0.0016 (0.0095) time: 3.1214 data: 0.0062 max mem: 31630 Epoch: [14] [ 820/5278] eta: 3:53:45 lr: 3.374788470068773e-05 loss: 0.0867 (0.0957) loss_seg: 0.0864 (0.0952) loss_lansim: 0.0345 (0.0402) loss_contra: 0.0016 (0.0094) time: 3.1302 data: 0.0063 max mem: 31630 Epoch: [14] [ 830/5278] eta: 3:53:15 lr: 3.374565804021091e-05 loss: 0.0898 (0.0957) loss_seg: 0.0894 (0.0952) loss_lansim: 0.0350 (0.0401) loss_contra: 0.0017 (0.0095) time: 3.1275 data: 0.0062 max mem: 31630 Epoch: [14] [ 840/5278] eta: 3:52:39 lr: 3.374343136340917e-05 loss: 0.0867 (0.0956) loss_seg: 0.0864 (0.0951) loss_lansim: 0.0353 (0.0401) loss_contra: 0.0016 (0.0094) time: 3.1274 data: 0.0062 max mem: 31630 Epoch: [14] [ 850/5278] eta: 3:52:10 lr: 3.374120467028121e-05 loss: 0.0893 (0.0956) loss_seg: 0.0890 (0.0951) loss_lansim: 0.0358 (0.0401) loss_contra: 0.0017 (0.0093) time: 3.1323 data: 0.0062 max mem: 31630 Epoch: [14] [ 860/5278] eta: 3:51:38 lr: 3.3738977960825705e-05 loss: 0.0898 (0.0957) loss_seg: 0.0894 (0.0952) loss_lansim: 0.0359 (0.0401) loss_contra: 0.0017 (0.0092) time: 3.1307 data: 0.0062 max mem: 31630 Epoch: [14] [ 870/5278] eta: 3:51:05 lr: 3.373675123504134e-05 loss: 0.0893 (0.0956) loss_seg: 0.0890 (0.0951) loss_lansim: 0.0365 (0.0401) loss_contra: 0.0017 (0.0092) time: 3.1313 data: 0.0063 max mem: 31630 Epoch: [14] [ 880/5278] eta: 3:50:32 lr: 3.3734524492926805e-05 loss: 0.0853 (0.0955) loss_seg: 0.0848 (0.0950) loss_lansim: 0.0368 (0.0401) loss_contra: 0.0017 (0.0091) time: 3.1238 data: 0.0063 max mem: 31630 Epoch: [14] [ 890/5278] eta: 3:50:00 lr: 3.3732297734480775e-05 loss: 0.0853 (0.0953) loss_seg: 0.0848 (0.0948) loss_lansim: 0.0371 (0.0401) loss_contra: 0.0012 (0.0090) time: 3.1289 data: 0.0063 max mem: 31630 Epoch: [14] [ 900/5278] eta: 3:49:32 lr: 3.3730070959701925e-05 loss: 0.0822 (0.0954) loss_seg: 0.0818 (0.0949) loss_lansim: 0.0375 (0.0400) loss_contra: 0.0012 (0.0090) time: 3.1370 data: 0.0064 max mem: 31630 Epoch: [14] [ 910/5278] eta: 3:48:58 lr: 3.372784416858895e-05 loss: 0.0822 (0.0953) loss_seg: 0.0818 (0.0948) loss_lansim: 0.0376 (0.0401) loss_contra: 0.0011 (0.0089) time: 3.1419 data: 0.0064 max mem: 31630 Epoch: [14] [ 920/5278] eta: 3:48:25 lr: 3.372561736114052e-05 loss: 0.0805 (0.0953) loss_seg: 0.0799 (0.0949) loss_lansim: 0.0378 (0.0401) loss_contra: 0.0010 (0.0091) time: 3.1349 data: 0.0064 max mem: 31630 Epoch: [14] [ 930/5278] eta: 3:47:50 lr: 3.372339053735534e-05 loss: 0.0805 (0.0955) loss_seg: 0.0799 (0.0950) loss_lansim: 0.0380 (0.0400) loss_contra: 0.0008 (0.0090) time: 3.1250 data: 0.0065 max mem: 31630 Epoch: [14] [ 940/5278] eta: 3:47:16 lr: 3.372116369723206e-05 loss: 0.0822 (0.0955) loss_seg: 0.0818 (0.0950) loss_lansim: 0.0375 (0.0400) loss_contra: 0.0009 (0.0090) time: 3.1281 data: 0.0065 max mem: 31630 Epoch: [14] [ 950/5278] eta: 3:46:50 lr: 3.3718936840769374e-05 loss: 0.0826 (0.0954) loss_seg: 0.0822 (0.0949) loss_lansim: 0.0380 (0.0400) loss_contra: 0.0010 (0.0089) time: 3.1334 data: 0.0065 max mem: 31630 Epoch: [14] [ 960/5278] eta: 3:46:16 lr: 3.371670996796598e-05 loss: 0.0836 (0.0954) loss_seg: 0.0833 (0.0949) loss_lansim: 0.0385 (0.0400) loss_contra: 0.0012 (0.0088) time: 3.1296 data: 0.0065 max mem: 31630 Epoch: [14] [ 970/5278] eta: 3:45:42 lr: 3.371448307882053e-05 loss: 0.0826 (0.0953) loss_seg: 0.0822 (0.0948) loss_lansim: 0.0384 (0.0400) loss_contra: 0.0009 (0.0088) time: 3.1279 data: 0.0065 max mem: 31630 Epoch: [14] [ 980/5278] eta: 3:45:06 lr: 3.371225617333173e-05 loss: 0.0826 (0.0952) loss_seg: 0.0822 (0.0947) loss_lansim: 0.0387 (0.0400) loss_contra: 0.0012 (0.0088) time: 3.1206 data: 0.0065 max mem: 31630 Epoch: [14] [ 990/5278] eta: 3:44:33 lr: 3.371002925149825e-05 loss: 0.0826 (0.0952) loss_seg: 0.0822 (0.0947) loss_lansim: 0.0387 (0.0400) loss_contra: 0.0007 (0.0087) time: 3.1158 data: 0.0065 max mem: 31630 Epoch: [14] [1000/5278] eta: 3:44:00 lr: 3.3707802313318756e-05 loss: 0.0836 (0.0950) loss_seg: 0.0833 (0.0946) loss_lansim: 0.0387 (0.0400) loss_contra: 0.0007 (0.0086) time: 3.1040 data: 0.0064 max mem: 31630 Epoch: [14] [1010/5278] eta: 3:43:22 lr: 3.370557535879196e-05 loss: 0.0836 (0.0949) loss_seg: 0.0833 (0.0945) loss_lansim: 0.0387 (0.0399) loss_contra: 0.0009 (0.0089) time: 3.0943 data: 0.0065 max mem: 31630 Epoch: [14] [1020/5278] eta: 3:42:46 lr: 3.370334838791651e-05 loss: 0.0850 (0.0950) loss_seg: 0.0845 (0.0946) loss_lansim: 0.0385 (0.0399) loss_contra: 0.0009 (0.0089) time: 3.0860 data: 0.0065 max mem: 31630 Epoch: [14] [1030/5278] eta: 3:42:08 lr: 3.37011214006911e-05 loss: 0.0840 (0.0951) loss_seg: 0.0836 (0.0946) loss_lansim: 0.0384 (0.0399) loss_contra: 0.0011 (0.0088) time: 3.0768 data: 0.0065 max mem: 31630 Epoch: [14] [1040/5278] eta: 3:41:36 lr: 3.369889439711442e-05 loss: 0.0827 (0.0949) loss_seg: 0.0822 (0.0944) loss_lansim: 0.0384 (0.0399) loss_contra: 0.0011 (0.0088) time: 3.0800 data: 0.0066 max mem: 31630 Epoch: [14] [1050/5278] eta: 3:41:06 lr: 3.369666737718513e-05 loss: 0.0838 (0.0948) loss_seg: 0.0834 (0.0944) loss_lansim: 0.0377 (0.0399) loss_contra: 0.0013 (0.0088) time: 3.0711 data: 0.0067 max mem: 31630 Epoch: [14] [1060/5278] eta: 3:40:28 lr: 3.3694440340901925e-05 loss: 0.0838 (0.0948) loss_seg: 0.0834 (0.0943) loss_lansim: 0.0375 (0.0398) loss_contra: 0.0011 (0.0087) time: 3.0616 data: 0.0068 max mem: 31630 Epoch: [14] [1070/5278] eta: 3:39:56 lr: 3.369221328826347e-05 loss: 0.0840 (0.0949) loss_seg: 0.0836 (0.0944) loss_lansim: 0.0376 (0.0398) loss_contra: 0.0011 (0.0087) time: 3.0620 data: 0.0070 max mem: 31630 Epoch: [14] [1080/5278] eta: 3:39:20 lr: 3.368998621926845e-05 loss: 0.0840 (0.0948) loss_seg: 0.0836 (0.0943) loss_lansim: 0.0376 (0.0399) loss_contra: 0.0009 (0.0087) time: 3.0607 data: 0.0071 max mem: 31630 Epoch: [14] [1090/5278] eta: 3:38:54 lr: 3.368775913391555e-05 loss: 0.0840 (0.0948) loss_seg: 0.0836 (0.0943) loss_lansim: 0.0376 (0.0399) loss_contra: 0.0011 (0.0086) time: 3.0794 data: 0.0071 max mem: 31630 Epoch: [14] [1100/5278] eta: 3:38:33 lr: 3.368553203220343e-05 loss: 0.0840 (0.0948) loss_seg: 0.0836 (0.0943) loss_lansim: 0.0389 (0.0399) loss_contra: 0.0011 (0.0086) time: 3.1095 data: 0.0071 max mem: 31630 Epoch: [14] [1110/5278] eta: 3:38:17 lr: 3.3683304914130785e-05 loss: 0.0870 (0.0947) loss_seg: 0.0866 (0.0942) loss_lansim: 0.0392 (0.0400) loss_contra: 0.0011 (0.0086) time: 3.1648 data: 0.0070 max mem: 31630 Epoch: [14] [1120/5278] eta: 3:37:46 lr: 3.36810777796963e-05 loss: 0.0838 (0.0947) loss_seg: 0.0834 (0.0942) loss_lansim: 0.0405 (0.0400) loss_contra: 0.0010 (0.0086) time: 3.1751 data: 0.0069 max mem: 31630 Epoch: [14] [1130/5278] eta: 3:37:14 lr: 3.3678850628898616e-05 loss: 0.0830 (0.0946) loss_seg: 0.0825 (0.0941) loss_lansim: 0.0406 (0.0401) loss_contra: 0.0009 (0.0085) time: 3.1926 data: 0.0069 max mem: 31630 Epoch: [14] [1140/5278] eta: 3:36:42 lr: 3.367662346173645e-05 loss: 0.0857 (0.0947) loss_seg: 0.0853 (0.0942) loss_lansim: 0.0422 (0.0402) loss_contra: 0.0009 (0.0086) time: 3.1910 data: 0.0068 max mem: 31630 Epoch: [14] [1150/5278] eta: 3:36:07 lr: 3.3674396278208466e-05 loss: 0.0830 (0.0945) loss_seg: 0.0825 (0.0940) loss_lansim: 0.0433 (0.0403) loss_contra: 0.0008 (0.0086) time: 3.1807 data: 0.0067 max mem: 31630 Epoch: [14] [1160/5278] eta: 3:35:34 lr: 3.3672169078313334e-05 loss: 0.0822 (0.0943) loss_seg: 0.0817 (0.0938) loss_lansim: 0.0451 (0.0406) loss_contra: 0.0008 (0.0085) time: 3.1917 data: 0.0068 max mem: 31630 Epoch: [14] [1170/5278] eta: 3:35:01 lr: 3.366994186204974e-05 loss: 0.0779 (0.0942) loss_seg: 0.0772 (0.0937) loss_lansim: 0.0472 (0.0409) loss_contra: 0.0009 (0.0084) time: 3.1884 data: 0.0067 max mem: 31630 Epoch: [14] [1180/5278] eta: 3:34:30 lr: 3.366771462941635e-05 loss: 0.0766 (0.0940) loss_seg: 0.0762 (0.0935) loss_lansim: 0.0499 (0.0411) loss_contra: 0.0009 (0.0084) time: 3.2012 data: 0.0067 max mem: 31630 Epoch: [14] [1190/5278] eta: 3:33:57 lr: 3.366548738041185e-05 loss: 0.0766 (0.0939) loss_seg: 0.0762 (0.0934) loss_lansim: 0.0528 (0.0414) loss_contra: 0.0009 (0.0083) time: 3.1851 data: 0.0067 max mem: 31630 Epoch: [14] [1200/5278] eta: 3:33:22 lr: 3.366326011503492e-05 loss: 0.0764 (0.0939) loss_seg: 0.0760 (0.0934) loss_lansim: 0.0606 (0.0417) loss_contra: 0.0009 (0.0083) time: 3.1479 data: 0.0068 max mem: 31630 Epoch: [14] [1210/5278] eta: 3:32:49 lr: 3.366103283328421e-05 loss: 0.0759 (0.0937) loss_seg: 0.0754 (0.0932) loss_lansim: 0.0630 (0.0419) loss_contra: 0.0008 (0.0082) time: 3.1011 data: 0.0068 max mem: 31630 Epoch: [14] [1220/5278] eta: 3:32:18 lr: 3.3658805535158436e-05 loss: 0.0773 (0.0937) loss_seg: 0.0765 (0.0932) loss_lansim: 0.0634 (0.0421) loss_contra: 0.0010 (0.0082) time: 3.1022 data: 0.0070 max mem: 31630 Epoch: [14] [1230/5278] eta: 3:31:45 lr: 3.365657822065624e-05 loss: 0.0768 (0.0937) loss_seg: 0.0763 (0.0932) loss_lansim: 0.0634 (0.0421) loss_contra: 0.0010 (0.0082) time: 3.0972 data: 0.0070 max mem: 31630 Epoch: [14] [1240/5278] eta: 3:31:11 lr: 3.3654350889776314e-05 loss: 0.0743 (0.0937) loss_seg: 0.0738 (0.0932) loss_lansim: 0.0634 (0.0422) loss_contra: 0.0011 (0.0082) time: 3.0922 data: 0.0071 max mem: 31630 Epoch: [14] [1250/5278] eta: 3:30:39 lr: 3.365212354251733e-05 loss: 0.0759 (0.0936) loss_seg: 0.0748 (0.0931) loss_lansim: 0.0653 (0.0425) loss_contra: 0.0010 (0.0082) time: 3.0971 data: 0.0070 max mem: 31630 Epoch: [14] [1260/5278] eta: 3:30:08 lr: 3.364989617887796e-05 loss: 0.0795 (0.0936) loss_seg: 0.0782 (0.0931) loss_lansim: 0.0666 (0.0428) loss_contra: 0.0011 (0.0082) time: 3.1015 data: 0.0069 max mem: 31630 Epoch: [14] [1270/5278] eta: 3:29:37 lr: 3.364766879885688e-05 loss: 0.0801 (0.0937) loss_seg: 0.0795 (0.0932) loss_lansim: 0.0679 (0.0435) loss_contra: 0.0016 (0.0083) time: 3.1113 data: 0.0069 max mem: 31630 Epoch: [14] [1280/5278] eta: 3:29:04 lr: 3.364544140245277e-05 loss: 0.0805 (0.0937) loss_seg: 0.0795 (0.0932) loss_lansim: 0.0709 (0.0443) loss_contra: 0.0019 (0.0091) time: 3.1019 data: 0.0069 max mem: 31630 Epoch: [14] [1290/5278] eta: 3:28:33 lr: 3.3643213989664296e-05 loss: 0.0830 (0.0938) loss_seg: 0.0814 (0.0932) loss_lansim: 0.0754 (0.0449) loss_contra: 0.0022 (0.0095) time: 3.1055 data: 0.0068 max mem: 31630 Epoch: [14] [1300/5278] eta: 3:28:00 lr: 3.3640986560490145e-05 loss: 0.0836 (0.0938) loss_seg: 0.0814 (0.0932) loss_lansim: 0.0787 (0.0456) loss_contra: 0.0030 (0.0096) time: 3.1117 data: 0.0068 max mem: 31630 Epoch: [14] [1310/5278] eta: 3:27:25 lr: 3.3638759114928976e-05 loss: 0.0879 (0.0938) loss_seg: 0.0862 (0.0933) loss_lansim: 0.1023 (0.0463) loss_contra: 0.0043 (0.0097) time: 3.1062 data: 0.0068 max mem: 31630 Epoch: [14] [1320/5278] eta: 3:26:54 lr: 3.363653165297946e-05 loss: 0.0814 (0.0936) loss_seg: 0.0805 (0.0931) loss_lansim: 0.1184 (0.0469) loss_contra: 0.0057 (0.0098) time: 3.1039 data: 0.0068 max mem: 31630 Epoch: [14] [1330/5278] eta: 3:26:22 lr: 3.36343041746403e-05 loss: 0.0833 (0.0937) loss_seg: 0.0814 (0.0931) loss_lansim: 0.1204 (0.0475) loss_contra: 0.0064 (0.0097) time: 3.1078 data: 0.0067 max mem: 31630 Epoch: [14] [1340/5278] eta: 3:25:47 lr: 3.363207667991012e-05 loss: 0.0884 (0.0939) loss_seg: 0.0862 (0.0933) loss_lansim: 0.1204 (0.0478) loss_contra: 0.0077 (0.0099) time: 3.1016 data: 0.0068 max mem: 31630 Epoch: [14] [1350/5278] eta: 3:25:15 lr: 3.362984916878765e-05 loss: 0.0927 (0.0941) loss_seg: 0.0913 (0.0935) loss_lansim: 0.1204 (0.0482) loss_contra: 0.0091 (0.0100) time: 3.1038 data: 0.0067 max mem: 31630 Epoch: [14] [1360/5278] eta: 3:24:44 lr: 3.3627621641271514e-05 loss: 0.0927 (0.0941) loss_seg: 0.0913 (0.0936) loss_lansim: 0.1202 (0.0486) loss_contra: 0.0092 (0.0101) time: 3.1035 data: 0.0067 max mem: 31630 Epoch: [14] [1370/5278] eta: 3:24:12 lr: 3.362539409736042e-05 loss: 0.0927 (0.0942) loss_seg: 0.0914 (0.0936) loss_lansim: 0.1184 (0.0489) loss_contra: 0.0096 (0.0101) time: 3.0987 data: 0.0066 max mem: 31630 Epoch: [14] [1380/5278] eta: 3:23:39 lr: 3.362316653705302e-05 loss: 0.0944 (0.0945) loss_seg: 0.0929 (0.0939) loss_lansim: 0.1106 (0.0493) loss_contra: 0.0092 (0.0102) time: 3.0974 data: 0.0067 max mem: 31630 Epoch: [14] [1390/5278] eta: 3:23:07 lr: 3.362093896034799e-05 loss: 0.0934 (0.0945) loss_seg: 0.0924 (0.0939) loss_lansim: 0.1070 (0.0496) loss_contra: 0.0060 (0.0102) time: 3.0952 data: 0.0066 max mem: 31630 Epoch: [14] [1400/5278] eta: 3:22:34 lr: 3.361871136724401e-05 loss: 0.0934 (0.0945) loss_seg: 0.0924 (0.0939) loss_lansim: 0.1044 (0.0500) loss_contra: 0.0056 (0.0102) time: 3.0925 data: 0.0066 max mem: 31630 Epoch: [14] [1410/5278] eta: 3:22:03 lr: 3.361648375773975e-05 loss: 0.0893 (0.0945) loss_seg: 0.0881 (0.0939) loss_lansim: 0.1026 (0.0504) loss_contra: 0.0054 (0.0101) time: 3.1048 data: 0.0065 max mem: 31630 Epoch: [14] [1420/5278] eta: 3:21:30 lr: 3.361425613183387e-05 loss: 0.0914 (0.0945) loss_seg: 0.0905 (0.0939) loss_lansim: 0.1003 (0.0507) loss_contra: 0.0049 (0.0101) time: 3.1000 data: 0.0065 max mem: 31630 Epoch: [14] [1430/5278] eta: 3:20:57 lr: 3.361202848952505e-05 loss: 0.0904 (0.0944) loss_seg: 0.0895 (0.0937) loss_lansim: 0.0989 (0.0510) loss_contra: 0.0049 (0.0101) time: 3.0938 data: 0.0065 max mem: 31630 Epoch: [14] [1440/5278] eta: 3:20:28 lr: 3.360980083081196e-05 loss: 0.0890 (0.0944) loss_seg: 0.0879 (0.0938) loss_lansim: 0.0974 (0.0513) loss_contra: 0.0049 (0.0101) time: 3.1179 data: 0.0065 max mem: 31630 Epoch: [14] [1450/5278] eta: 3:19:56 lr: 3.360757315569328e-05 loss: 0.0874 (0.0944) loss_seg: 0.0864 (0.0938) loss_lansim: 0.0973 (0.0517) loss_contra: 0.0032 (0.0101) time: 3.1150 data: 0.0065 max mem: 31630 Epoch: [14] [1460/5278] eta: 3:19:26 lr: 3.360534546416767e-05 loss: 0.0874 (0.0945) loss_seg: 0.0864 (0.0938) loss_lansim: 0.0972 (0.0519) loss_contra: 0.0027 (0.0100) time: 3.1168 data: 0.0066 max mem: 31630 Epoch: [14] [1470/5278] eta: 3:18:53 lr: 3.36031177562338e-05 loss: 0.0876 (0.0944) loss_seg: 0.0865 (0.0938) loss_lansim: 0.0968 (0.0522) loss_contra: 0.0026 (0.0101) time: 3.1146 data: 0.0066 max mem: 31630 Epoch: [14] [1480/5278] eta: 3:18:23 lr: 3.360089003189034e-05 loss: 0.0856 (0.0944) loss_seg: 0.0840 (0.0938) loss_lansim: 0.0948 (0.0524) loss_contra: 0.0019 (0.0101) time: 3.1265 data: 0.0066 max mem: 31630 Epoch: [14] [1490/5278] eta: 3:17:54 lr: 3.359866229113598e-05 loss: 0.0837 (0.0943) loss_seg: 0.0828 (0.0937) loss_lansim: 0.0947 (0.0527) loss_contra: 0.0026 (0.0101) time: 3.1348 data: 0.0066 max mem: 31630 Epoch: [14] [1500/5278] eta: 3:17:22 lr: 3.3596434533969355e-05 loss: 0.0825 (0.0943) loss_seg: 0.0817 (0.0937) loss_lansim: 0.0939 (0.0530) loss_contra: 0.0019 (0.0101) time: 3.1388 data: 0.0067 max mem: 31630 Epoch: [14] [1510/5278] eta: 3:16:51 lr: 3.359420676038917e-05 loss: 0.0825 (0.0943) loss_seg: 0.0817 (0.0936) loss_lansim: 0.0936 (0.0533) loss_contra: 0.0023 (0.0100) time: 3.1414 data: 0.0067 max mem: 31630 Epoch: [14] [1520/5278] eta: 3:16:19 lr: 3.359197897039407e-05 loss: 0.0879 (0.0945) loss_seg: 0.0871 (0.0939) loss_lansim: 0.0939 (0.0536) loss_contra: 0.0020 (0.0100) time: 3.1444 data: 0.0067 max mem: 31630 Epoch: [14] [1530/5278] eta: 3:15:48 lr: 3.358975116398274e-05 loss: 0.0905 (0.0946) loss_seg: 0.0896 (0.0939) loss_lansim: 0.0933 (0.0539) loss_contra: 0.0020 (0.0100) time: 3.1525 data: 0.0066 max mem: 31630 Epoch: [14] [1540/5278] eta: 3:15:19 lr: 3.358752334115384e-05 loss: 0.0879 (0.0945) loss_seg: 0.0871 (0.0939) loss_lansim: 0.0935 (0.0542) loss_contra: 0.0016 (0.0100) time: 3.1486 data: 0.0066 max mem: 31630 Epoch: [14] [1550/5278] eta: 3:14:46 lr: 3.358529550190604e-05 loss: 0.0856 (0.0945) loss_seg: 0.0847 (0.0938) loss_lansim: 0.0933 (0.0544) loss_contra: 0.0014 (0.0100) time: 3.1460 data: 0.0067 max mem: 31630 Epoch: [14] [1560/5278] eta: 3:14:16 lr: 3.358306764623802e-05 loss: 0.0856 (0.0944) loss_seg: 0.0847 (0.0938) loss_lansim: 0.0936 (0.0547) loss_contra: 0.0017 (0.0100) time: 3.1480 data: 0.0066 max mem: 31630 Epoch: [14] [1570/5278] eta: 3:13:44 lr: 3.358083977414843e-05 loss: 0.0869 (0.0945) loss_seg: 0.0861 (0.0939) loss_lansim: 0.0936 (0.0550) loss_contra: 0.0014 (0.0099) time: 3.1516 data: 0.0067 max mem: 31630 Epoch: [14] [1580/5278] eta: 3:13:13 lr: 3.357861188563594e-05 loss: 0.0898 (0.0946) loss_seg: 0.0885 (0.0939) loss_lansim: 0.0951 (0.0552) loss_contra: 0.0013 (0.0099) time: 3.1467 data: 0.0067 max mem: 31630 Epoch: [14] [1590/5278] eta: 3:12:42 lr: 3.3576383980699245e-05 loss: 0.0898 (0.0946) loss_seg: 0.0888 (0.0939) loss_lansim: 0.0951 (0.0555) loss_contra: 0.0012 (0.0098) time: 3.1432 data: 0.0067 max mem: 31630 Epoch: [14] [1600/5278] eta: 3:12:10 lr: 3.357415605933698e-05 loss: 0.0901 (0.0947) loss_seg: 0.0889 (0.0940) loss_lansim: 0.0946 (0.0557) loss_contra: 0.0012 (0.0098) time: 3.1416 data: 0.0067 max mem: 31630 Epoch: [14] [1610/5278] eta: 3:11:40 lr: 3.357192812154783e-05 loss: 0.0901 (0.0948) loss_seg: 0.0889 (0.0941) loss_lansim: 0.0935 (0.0557) loss_contra: 0.0012 (0.0102) time: 3.1442 data: 0.0067 max mem: 31630 Epoch: [14] [1620/5278] eta: 3:11:13 lr: 3.356970016733046e-05 loss: 0.0897 (0.0948) loss_seg: 0.0885 (0.0941) loss_lansim: 0.0913 (0.0557) loss_contra: 0.0014 (0.0106) time: 3.1675 data: 0.0067 max mem: 31630 Epoch: [14] [1630/5278] eta: 3:10:40 lr: 3.3567472196683534e-05 loss: 0.0869 (0.0948) loss_seg: 0.0861 (0.0941) loss_lansim: 0.0899 (0.0557) loss_contra: 0.0019 (0.0107) time: 3.1582 data: 0.0066 max mem: 31630 Epoch: [14] [1640/5278] eta: 3:10:07 lr: 3.356524420960573e-05 loss: 0.0897 (0.0948) loss_seg: 0.0886 (0.0941) loss_lansim: 0.0866 (0.0558) loss_contra: 0.0029 (0.0109) time: 3.1436 data: 0.0066 max mem: 31630 Epoch: [14] [1650/5278] eta: 3:09:35 lr: 3.35630162060957e-05 loss: 0.0953 (0.0951) loss_seg: 0.0944 (0.0944) loss_lansim: 0.0863 (0.0563) loss_contra: 0.0052 (0.0126) time: 3.1485 data: 0.0065 max mem: 31630 Epoch: [14] [1660/5278] eta: 3:09:04 lr: 3.356078818615211e-05 loss: 0.0980 (0.0953) loss_seg: 0.0966 (0.0946) loss_lansim: 0.0849 (0.0565) loss_contra: 0.0089 (0.0132) time: 3.1427 data: 0.0066 max mem: 31630 Epoch: [14] [1670/5278] eta: 3:08:33 lr: 3.355856014977365e-05 loss: 0.0951 (0.0953) loss_seg: 0.0929 (0.0946) loss_lansim: 0.0835 (0.0567) loss_contra: 0.0192 (0.0140) time: 3.1454 data: 0.0066 max mem: 31630 Epoch: [14] [1680/5278] eta: 3:08:02 lr: 3.3556332096958964e-05 loss: 0.0940 (0.0954) loss_seg: 0.0923 (0.0947) loss_lansim: 0.0784 (0.0569) loss_contra: 0.0207 (0.0141) time: 3.1470 data: 0.0065 max mem: 31630 Epoch: [14] [1690/5278] eta: 3:07:30 lr: 3.355410402770673e-05 loss: 0.1039 (0.0955) loss_seg: 0.1031 (0.0948) loss_lansim: 0.0757 (0.0570) loss_contra: 0.0260 (0.0142) time: 3.1402 data: 0.0064 max mem: 31630 Epoch: [14] [1700/5278] eta: 3:06:59 lr: 3.35518759420156e-05 loss: 0.1062 (0.0956) loss_seg: 0.1032 (0.0949) loss_lansim: 0.0751 (0.0572) loss_contra: 0.0260 (0.0142) time: 3.1492 data: 0.0064 max mem: 31630 Epoch: [14] [1710/5278] eta: 3:06:28 lr: 3.354964783988424e-05 loss: 0.1076 (0.0958) loss_seg: 0.1057 (0.0950) loss_lansim: 0.0791 (0.0574) loss_contra: 0.0195 (0.0142) time: 3.1415 data: 0.0064 max mem: 31630 Epoch: [14] [1720/5278] eta: 3:05:57 lr: 3.3547419721311345e-05 loss: 0.1094 (0.0958) loss_seg: 0.1082 (0.0951) loss_lansim: 0.0807 (0.0575) loss_contra: 0.0186 (0.0142) time: 3.1254 data: 0.0064 max mem: 31630 Epoch: [14] [1730/5278] eta: 3:05:26 lr: 3.354519158629555e-05 loss: 0.1125 (0.0959) loss_seg: 0.1109 (0.0952) loss_lansim: 0.0824 (0.0577) loss_contra: 0.0103 (0.0142) time: 3.1319 data: 0.0066 max mem: 31630 Epoch: [14] [1740/5278] eta: 3:04:52 lr: 3.354296343483553e-05 loss: 0.1130 (0.0961) loss_seg: 0.1120 (0.0954) loss_lansim: 0.0813 (0.0577) loss_contra: 0.0093 (0.0143) time: 3.1314 data: 0.0065 max mem: 31630 Epoch: [14] [1750/5278] eta: 3:04:22 lr: 3.354073526692995e-05 loss: 0.1076 (0.0962) loss_seg: 0.1060 (0.0955) loss_lansim: 0.0795 (0.0578) loss_contra: 0.0088 (0.0144) time: 3.1374 data: 0.0065 max mem: 31630 Epoch: [14] [1760/5278] eta: 3:03:50 lr: 3.353850708257747e-05 loss: 0.1050 (0.0962) loss_seg: 0.1042 (0.0955) loss_lansim: 0.0767 (0.0579) loss_contra: 0.0080 (0.0144) time: 3.1351 data: 0.0065 max mem: 31630 Epoch: [14] [1770/5278] eta: 3:03:18 lr: 3.353627888177676e-05 loss: 0.1063 (0.0962) loss_seg: 0.1055 (0.0955) loss_lansim: 0.0751 (0.0579) loss_contra: 0.0065 (0.0144) time: 3.1299 data: 0.0064 max mem: 31630 Epoch: [14] [1780/5278] eta: 3:02:45 lr: 3.353405066452648e-05 loss: 0.1089 (0.0964) loss_seg: 0.1076 (0.0957) loss_lansim: 0.0725 (0.0579) loss_contra: 0.0059 (0.0144) time: 3.1225 data: 0.0064 max mem: 31630 Epoch: [14] [1790/5278] eta: 3:02:14 lr: 3.353182243082531e-05 loss: 0.1039 (0.0964) loss_seg: 0.1032 (0.0956) loss_lansim: 0.0718 (0.0580) loss_contra: 0.0051 (0.0144) time: 3.1251 data: 0.0065 max mem: 31630 Epoch: [14] [1800/5278] eta: 3:01:42 lr: 3.352959418067189e-05 loss: 0.1050 (0.0966) loss_seg: 0.1042 (0.0959) loss_lansim: 0.0701 (0.0581) loss_contra: 0.0046 (0.0146) time: 3.1167 data: 0.0064 max mem: 31630 Epoch: [14] [1810/5278] eta: 3:01:08 lr: 3.3527365914064896e-05 loss: 0.1034 (0.0966) loss_seg: 0.1025 (0.0959) loss_lansim: 0.0696 (0.0582) loss_contra: 0.0054 (0.0147) time: 3.1036 data: 0.0064 max mem: 31630 Epoch: [14] [1820/5278] eta: 3:00:36 lr: 3.352513763100299e-05 loss: 0.1031 (0.0968) loss_seg: 0.1023 (0.0960) loss_lansim: 0.0693 (0.0582) loss_contra: 0.0056 (0.0147) time: 3.0955 data: 0.0064 max mem: 31630 Epoch: [14] [1830/5278] eta: 3:00:06 lr: 3.3522909331484835e-05 loss: 0.1063 (0.0970) loss_seg: 0.1055 (0.0963) loss_lansim: 0.0683 (0.0583) loss_contra: 0.0051 (0.0146) time: 3.1019 data: 0.0063 max mem: 31630 Epoch: [14] [1840/5278] eta: 2:59:33 lr: 3.3520681015509086e-05 loss: 0.1045 (0.0971) loss_seg: 0.1039 (0.0963) loss_lansim: 0.0693 (0.0584) loss_contra: 0.0056 (0.0148) time: 3.1031 data: 0.0063 max mem: 31630 Epoch: [14] [1850/5278] eta: 2:59:00 lr: 3.351845268307443e-05 loss: 0.1080 (0.0973) loss_seg: 0.1075 (0.0965) loss_lansim: 0.0677 (0.0584) loss_contra: 0.0051 (0.0148) time: 3.0890 data: 0.0064 max mem: 31630 Epoch: [14] [1860/5278] eta: 2:58:29 lr: 3.3516224334179504e-05 loss: 0.1082 (0.0973) loss_seg: 0.1077 (0.0965) loss_lansim: 0.0672 (0.0583) loss_contra: 0.0056 (0.0149) time: 3.0943 data: 0.0063 max mem: 31630 Epoch: [14] [1870/5278] eta: 2:57:55 lr: 3.351399596882298e-05 loss: 0.1106 (0.0976) loss_seg: 0.1097 (0.0968) loss_lansim: 0.0646 (0.0582) loss_contra: 0.0056 (0.0150) time: 3.0849 data: 0.0063 max mem: 31630 Epoch: [14] [1880/5278] eta: 2:57:24 lr: 3.3511767587003526e-05 loss: 0.1035 (0.0976) loss_seg: 0.1023 (0.0968) loss_lansim: 0.0631 (0.0582) loss_contra: 0.0056 (0.0150) time: 3.0887 data: 0.0063 max mem: 31630 Epoch: [14] [1890/5278] eta: 2:56:52 lr: 3.350953918871979e-05 loss: 0.1035 (0.0975) loss_seg: 0.1023 (0.0968) loss_lansim: 0.0584 (0.0581) loss_contra: 0.0059 (0.0151) time: 3.0855 data: 0.0064 max mem: 31630 Epoch: [14] [1900/5278] eta: 2:56:18 lr: 3.3507310773970444e-05 loss: 0.1015 (0.0978) loss_seg: 0.1009 (0.0970) loss_lansim: 0.0526 (0.0580) loss_contra: 0.0072 (0.0151) time: 3.0759 data: 0.0064 max mem: 31630 Epoch: [14] [1910/5278] eta: 2:55:47 lr: 3.3505082342754155e-05 loss: 0.1035 (0.0979) loss_seg: 0.1023 (0.0972) loss_lansim: 0.0482 (0.0579) loss_contra: 0.0063 (0.0152) time: 3.0877 data: 0.0064 max mem: 31630 Epoch: [14] [1920/5278] eta: 2:55:14 lr: 3.350285389506957e-05 loss: 0.1035 (0.0979) loss_seg: 0.1023 (0.0972) loss_lansim: 0.0467 (0.0578) loss_contra: 0.0059 (0.0153) time: 3.0868 data: 0.0063 max mem: 31630 Epoch: [14] [1930/5278] eta: 2:54:43 lr: 3.350062543091536e-05 loss: 0.1002 (0.0979) loss_seg: 0.0995 (0.0972) loss_lansim: 0.0450 (0.0578) loss_contra: 0.0072 (0.0153) time: 3.0805 data: 0.0063 max mem: 31630 Epoch: [14] [1940/5278] eta: 2:54:10 lr: 3.349839695029019e-05 loss: 0.1002 (0.0979) loss_seg: 0.0995 (0.0972) loss_lansim: 0.0437 (0.0577) loss_contra: 0.0059 (0.0153) time: 3.0776 data: 0.0064 max mem: 31630 Epoch: [14] [1950/5278] eta: 2:53:37 lr: 3.34961684531927e-05 loss: 0.0986 (0.0979) loss_seg: 0.0983 (0.0972) loss_lansim: 0.0426 (0.0576) loss_contra: 0.0059 (0.0156) time: 3.0759 data: 0.0064 max mem: 31630 Epoch: [14] [1960/5278] eta: 2:53:05 lr: 3.349393993962157e-05 loss: 0.1001 (0.0981) loss_seg: 0.0995 (0.0974) loss_lansim: 0.0410 (0.0575) loss_contra: 0.0052 (0.0155) time: 3.0709 data: 0.0064 max mem: 31630 Epoch: [14] [1970/5278] eta: 2:52:32 lr: 3.349171140957546e-05 loss: 0.0980 (0.0981) loss_seg: 0.0975 (0.0974) loss_lansim: 0.0409 (0.0574) loss_contra: 0.0053 (0.0155) time: 3.0743 data: 0.0064 max mem: 31630 Epoch: [14] [1980/5278] eta: 2:51:59 lr: 3.348948286305302e-05 loss: 0.0992 (0.0981) loss_seg: 0.0987 (0.0974) loss_lansim: 0.0406 (0.0573) loss_contra: 0.0046 (0.0155) time: 3.0662 data: 0.0064 max mem: 31630 Epoch: [14] [1990/5278] eta: 2:51:28 lr: 3.348725430005292e-05 loss: 0.1007 (0.0982) loss_seg: 0.1001 (0.0974) loss_lansim: 0.0406 (0.0572) loss_contra: 0.0041 (0.0155) time: 3.0673 data: 0.0064 max mem: 31630 Epoch: [14] [2000/5278] eta: 2:50:56 lr: 3.3485025720573805e-05 loss: 0.1007 (0.0983) loss_seg: 0.1001 (0.0976) loss_lansim: 0.0403 (0.0571) loss_contra: 0.0038 (0.0155) time: 3.0751 data: 0.0064 max mem: 31630 Epoch: [14] [2010/5278] eta: 2:50:23 lr: 3.348279712461435e-05 loss: 0.1011 (0.0984) loss_seg: 0.1008 (0.0976) loss_lansim: 0.0397 (0.0571) loss_contra: 0.0037 (0.0157) time: 3.0680 data: 0.0063 max mem: 31630 Epoch: [14] [2020/5278] eta: 2:49:51 lr: 3.348056851217321e-05 loss: 0.1010 (0.0984) loss_seg: 0.1007 (0.0976) loss_lansim: 0.0397 (0.0570) loss_contra: 0.0038 (0.0157) time: 3.0652 data: 0.0064 max mem: 31630 Epoch: [14] [2030/5278] eta: 2:49:20 lr: 3.347833988324904e-05 loss: 0.1011 (0.0985) loss_seg: 0.1008 (0.0977) loss_lansim: 0.0394 (0.0569) loss_contra: 0.0037 (0.0158) time: 3.0672 data: 0.0064 max mem: 31630 Epoch: [14] [2040/5278] eta: 2:48:46 lr: 3.34761112378405e-05 loss: 0.1010 (0.0986) loss_seg: 0.1007 (0.0979) loss_lansim: 0.0388 (0.0568) loss_contra: 0.0038 (0.0157) time: 3.0654 data: 0.0064 max mem: 31630 Epoch: [14] [2050/5278] eta: 2:48:15 lr: 3.3473882575946255e-05 loss: 0.1030 (0.0987) loss_seg: 0.1026 (0.0979) loss_lansim: 0.0389 (0.0567) loss_contra: 0.0036 (0.0157) time: 3.0740 data: 0.0064 max mem: 31630 Epoch: [14] [2060/5278] eta: 2:47:43 lr: 3.347165389756496e-05 loss: 0.1026 (0.0987) loss_seg: 0.1020 (0.0980) loss_lansim: 0.0381 (0.0566) loss_contra: 0.0037 (0.0157) time: 3.0732 data: 0.0064 max mem: 31630 Epoch: [14] [2070/5278] eta: 2:47:11 lr: 3.3469425202695266e-05 loss: 0.1039 (0.0987) loss_seg: 0.1026 (0.0980) loss_lansim: 0.0381 (0.0566) loss_contra: 0.0031 (0.0158) time: 3.0726 data: 0.0064 max mem: 31630 Epoch: [14] [2080/5278] eta: 2:46:39 lr: 3.346719649133583e-05 loss: 0.1044 (0.0988) loss_seg: 0.1034 (0.0980) loss_lansim: 0.0385 (0.0565) loss_contra: 0.0034 (0.0158) time: 3.0835 data: 0.0064 max mem: 31630 Epoch: [14] [2090/5278] eta: 2:46:07 lr: 3.346496776348533e-05 loss: 0.1044 (0.0988) loss_seg: 0.1034 (0.0981) loss_lansim: 0.0383 (0.0564) loss_contra: 0.0037 (0.0158) time: 3.0762 data: 0.0064 max mem: 31630 Epoch: [14] [2100/5278] eta: 2:45:35 lr: 3.346273901914241e-05 loss: 0.1027 (0.0989) loss_seg: 0.1020 (0.0981) loss_lansim: 0.0388 (0.0563) loss_contra: 0.0038 (0.0159) time: 3.0761 data: 0.0064 max mem: 31630 Epoch: [14] [2110/5278] eta: 2:45:03 lr: 3.346051025830572e-05 loss: 0.1027 (0.0989) loss_seg: 0.1020 (0.0982) loss_lansim: 0.0382 (0.0562) loss_contra: 0.0038 (0.0158) time: 3.0809 data: 0.0065 max mem: 31630 Epoch: [14] [2120/5278] eta: 2:44:32 lr: 3.3458281480973936e-05 loss: 0.1010 (0.0988) loss_seg: 0.1001 (0.0981) loss_lansim: 0.0382 (0.0561) loss_contra: 0.0034 (0.0157) time: 3.0901 data: 0.0065 max mem: 31630 Epoch: [14] [2130/5278] eta: 2:44:00 lr: 3.345605268714569e-05 loss: 0.0995 (0.0988) loss_seg: 0.0991 (0.0980) loss_lansim: 0.0381 (0.0561) loss_contra: 0.0033 (0.0157) time: 3.0800 data: 0.0065 max mem: 31630 Epoch: [14] [2140/5278] eta: 2:43:28 lr: 3.3453823876819665e-05 loss: 0.0949 (0.0987) loss_seg: 0.0944 (0.0980) loss_lansim: 0.0382 (0.0560) loss_contra: 0.0028 (0.0157) time: 3.0915 data: 0.0065 max mem: 31630 Epoch: [14] [2150/5278] eta: 2:42:59 lr: 3.3451595049994496e-05 loss: 0.0941 (0.0988) loss_seg: 0.0935 (0.0981) loss_lansim: 0.0382 (0.0559) loss_contra: 0.0030 (0.0156) time: 3.1070 data: 0.0064 max mem: 31630 Epoch: [14] [2160/5278] eta: 2:42:25 lr: 3.3449366206668855e-05 loss: 0.0949 (0.0988) loss_seg: 0.0944 (0.0981) loss_lansim: 0.0384 (0.0558) loss_contra: 0.0028 (0.0156) time: 3.0866 data: 0.0064 max mem: 31630 Epoch: [14] [2170/5278] eta: 2:41:54 lr: 3.34471373468414e-05 loss: 0.0971 (0.0989) loss_seg: 0.0966 (0.0982) loss_lansim: 0.0376 (0.0557) loss_contra: 0.0025 (0.0156) time: 3.1002 data: 0.0064 max mem: 31630 Epoch: [14] [2180/5278] eta: 2:41:23 lr: 3.344490847051077e-05 loss: 0.0990 (0.0989) loss_seg: 0.0982 (0.0982) loss_lansim: 0.0377 (0.0557) loss_contra: 0.0023 (0.0156) time: 3.0975 data: 0.0064 max mem: 31630 Epoch: [14] [2190/5278] eta: 2:40:51 lr: 3.344267957767563e-05 loss: 0.0990 (0.0989) loss_seg: 0.0982 (0.0982) loss_lansim: 0.0378 (0.0556) loss_contra: 0.0023 (0.0155) time: 3.1051 data: 0.0064 max mem: 31630 Epoch: [14] [2200/5278] eta: 2:40:18 lr: 3.344045066833463e-05 loss: 0.0990 (0.0990) loss_seg: 0.0982 (0.0983) loss_lansim: 0.0377 (0.0556) loss_contra: 0.0018 (0.0155) time: 3.0997 data: 0.0064 max mem: 31630 Epoch: [14] [2210/5278] eta: 2:39:46 lr: 3.3438221742486434e-05 loss: 0.0934 (0.0989) loss_seg: 0.0931 (0.0982) loss_lansim: 0.0384 (0.0555) loss_contra: 0.0016 (0.0155) time: 3.0933 data: 0.0064 max mem: 31630 Epoch: [14] [2220/5278] eta: 2:39:15 lr: 3.34359928001297e-05 loss: 0.0930 (0.0989) loss_seg: 0.0926 (0.0982) loss_lansim: 0.0383 (0.0554) loss_contra: 0.0021 (0.0155) time: 3.0935 data: 0.0063 max mem: 31630 Epoch: [14] [2230/5278] eta: 2:38:42 lr: 3.343376384126307e-05 loss: 0.0969 (0.0989) loss_seg: 0.0966 (0.0982) loss_lansim: 0.0383 (0.0554) loss_contra: 0.0017 (0.0154) time: 3.0919 data: 0.0064 max mem: 31630 Epoch: [14] [2240/5278] eta: 2:38:11 lr: 3.343153486588521e-05 loss: 0.0985 (0.0989) loss_seg: 0.0979 (0.0982) loss_lansim: 0.0386 (0.0553) loss_contra: 0.0021 (0.0154) time: 3.0879 data: 0.0064 max mem: 31630 Epoch: [14] [2250/5278] eta: 2:37:39 lr: 3.3429305873994774e-05 loss: 0.0951 (0.0988) loss_seg: 0.0942 (0.0981) loss_lansim: 0.0377 (0.0552) loss_contra: 0.0021 (0.0154) time: 3.0698 data: 0.0064 max mem: 31630 Epoch: [14] [2260/5278] eta: 2:37:07 lr: 3.3427076865590394e-05 loss: 0.0942 (0.0988) loss_seg: 0.0939 (0.0981) loss_lansim: 0.0387 (0.0551) loss_contra: 0.0019 (0.0153) time: 3.0845 data: 0.0065 max mem: 31630 Epoch: [14] [2270/5278] eta: 2:36:35 lr: 3.342484784067076e-05 loss: 0.0951 (0.0989) loss_seg: 0.0942 (0.0982) loss_lansim: 0.0387 (0.0551) loss_contra: 0.0016 (0.0153) time: 3.0790 data: 0.0066 max mem: 31630 Epoch: [14] [2280/5278] eta: 2:36:04 lr: 3.342261879923451e-05 loss: 0.0935 (0.0989) loss_seg: 0.0932 (0.0982) loss_lansim: 0.0378 (0.0550) loss_contra: 0.0017 (0.0152) time: 3.0770 data: 0.0067 max mem: 31630 Epoch: [14] [2290/5278] eta: 2:35:31 lr: 3.342038974128029e-05 loss: 0.0915 (0.0988) loss_seg: 0.0912 (0.0981) loss_lansim: 0.0372 (0.0549) loss_contra: 0.0015 (0.0152) time: 3.0681 data: 0.0068 max mem: 31630 Epoch: [14] [2300/5278] eta: 2:35:00 lr: 3.3418160666806754e-05 loss: 0.0915 (0.0988) loss_seg: 0.0911 (0.0981) loss_lansim: 0.0370 (0.0548) loss_contra: 0.0015 (0.0152) time: 3.0775 data: 0.0068 max mem: 31630 Epoch: [14] [2310/5278] eta: 2:34:28 lr: 3.341593157581256e-05 loss: 0.0909 (0.0989) loss_seg: 0.0905 (0.0982) loss_lansim: 0.0370 (0.0547) loss_contra: 0.0011 (0.0151) time: 3.0822 data: 0.0068 max mem: 31630 Epoch: [14] [2320/5278] eta: 2:33:57 lr: 3.341370246829637e-05 loss: 0.0913 (0.0988) loss_seg: 0.0909 (0.0981) loss_lansim: 0.0373 (0.0547) loss_contra: 0.0011 (0.0151) time: 3.0794 data: 0.0068 max mem: 31630 Epoch: [14] [2330/5278] eta: 2:33:24 lr: 3.3411473344256826e-05 loss: 0.0896 (0.0988) loss_seg: 0.0890 (0.0981) loss_lansim: 0.0373 (0.0546) loss_contra: 0.0010 (0.0150) time: 3.0798 data: 0.0068 max mem: 31630 Epoch: [14] [2340/5278] eta: 2:32:53 lr: 3.340924420369258e-05 loss: 0.0880 (0.0988) loss_seg: 0.0876 (0.0981) loss_lansim: 0.0373 (0.0545) loss_contra: 0.0009 (0.0150) time: 3.0804 data: 0.0067 max mem: 31630 Epoch: [14] [2350/5278] eta: 2:32:21 lr: 3.340701504660229e-05 loss: 0.0858 (0.0986) loss_seg: 0.0854 (0.0980) loss_lansim: 0.0377 (0.0545) loss_contra: 0.0008 (0.0151) time: 3.0832 data: 0.0067 max mem: 31630 Epoch: [14] [2360/5278] eta: 2:31:49 lr: 3.340478587298461e-05 loss: 0.0860 (0.0987) loss_seg: 0.0855 (0.0980) loss_lansim: 0.0377 (0.0544) loss_contra: 0.0008 (0.0151) time: 3.0840 data: 0.0066 max mem: 31630 Epoch: [14] [2370/5278] eta: 2:31:16 lr: 3.340255668283818e-05 loss: 0.0830 (0.0987) loss_seg: 0.0824 (0.0980) loss_lansim: 0.0377 (0.0544) loss_contra: 0.0009 (0.0152) time: 3.0663 data: 0.0065 max mem: 31630 Epoch: [14] [2380/5278] eta: 2:30:44 lr: 3.340032747616167e-05 loss: 0.0848 (0.0987) loss_seg: 0.0841 (0.0980) loss_lansim: 0.0383 (0.0543) loss_contra: 0.0011 (0.0152) time: 3.0622 data: 0.0064 max mem: 31630 Epoch: [14] [2390/5278] eta: 2:30:12 lr: 3.339809825295371e-05 loss: 0.0864 (0.0987) loss_seg: 0.0859 (0.0980) loss_lansim: 0.0387 (0.0543) loss_contra: 0.0011 (0.0151) time: 3.0636 data: 0.0062 max mem: 31630 Epoch: [14] [2400/5278] eta: 2:29:38 lr: 3.339586901321297e-05 loss: 0.0880 (0.0987) loss_seg: 0.0876 (0.0980) loss_lansim: 0.0387 (0.0542) loss_contra: 0.0011 (0.0151) time: 3.0453 data: 0.0062 max mem: 31630 Epoch: [14] [2410/5278] eta: 2:29:07 lr: 3.339363975693809e-05 loss: 0.0893 (0.0987) loss_seg: 0.0888 (0.0980) loss_lansim: 0.0387 (0.0541) loss_contra: 0.0013 (0.0151) time: 3.0464 data: 0.0062 max mem: 31630 Epoch: [14] [2420/5278] eta: 2:28:34 lr: 3.339141048412772e-05 loss: 0.0903 (0.0988) loss_seg: 0.0899 (0.0981) loss_lansim: 0.0387 (0.0541) loss_contra: 0.0012 (0.0150) time: 3.0346 data: 0.0062 max mem: 31630 Epoch: [14] [2430/5278] eta: 2:28:02 lr: 3.338918119478052e-05 loss: 0.0920 (0.0988) loss_seg: 0.0914 (0.0981) loss_lansim: 0.0387 (0.0540) loss_contra: 0.0015 (0.0150) time: 3.0317 data: 0.0062 max mem: 31630 Epoch: [14] [2440/5278] eta: 2:27:30 lr: 3.3386951888895135e-05 loss: 0.0921 (0.0988) loss_seg: 0.0918 (0.0981) loss_lansim: 0.0387 (0.0539) loss_contra: 0.0015 (0.0150) time: 3.0299 data: 0.0062 max mem: 31630 Epoch: [14] [2450/5278] eta: 2:26:58 lr: 3.3384722566470217e-05 loss: 0.0920 (0.0987) loss_seg: 0.0914 (0.0980) loss_lansim: 0.0388 (0.0539) loss_contra: 0.0018 (0.0150) time: 3.0229 data: 0.0063 max mem: 31630 Epoch: [14] [2460/5278] eta: 2:26:25 lr: 3.338249322750442e-05 loss: 0.0918 (0.0986) loss_seg: 0.0914 (0.0979) loss_lansim: 0.0378 (0.0538) loss_contra: 0.0018 (0.0149) time: 3.0158 data: 0.0063 max mem: 31630 Epoch: [14] [2470/5278] eta: 2:25:53 lr: 3.338026387199638e-05 loss: 0.0914 (0.0986) loss_seg: 0.0909 (0.0979) loss_lansim: 0.0380 (0.0537) loss_contra: 0.0015 (0.0149) time: 3.0260 data: 0.0063 max mem: 31630 Epoch: [14] [2480/5278] eta: 2:25:22 lr: 3.337803449994476e-05 loss: 0.0903 (0.0987) loss_seg: 0.0899 (0.0980) loss_lansim: 0.0378 (0.0537) loss_contra: 0.0016 (0.0149) time: 3.0303 data: 0.0063 max mem: 31630 Epoch: [14] [2490/5278] eta: 2:24:50 lr: 3.337580511134821e-05 loss: 0.0898 (0.0987) loss_seg: 0.0893 (0.0980) loss_lansim: 0.0376 (0.0536) loss_contra: 0.0012 (0.0148) time: 3.0312 data: 0.0064 max mem: 31630 Epoch: [14] [2500/5278] eta: 2:24:19 lr: 3.3373575706205365e-05 loss: 0.0903 (0.0988) loss_seg: 0.0899 (0.0981) loss_lansim: 0.0375 (0.0536) loss_contra: 0.0015 (0.0148) time: 3.0506 data: 0.0064 max mem: 31630 Epoch: [14] [2510/5278] eta: 2:23:48 lr: 3.337134628451489e-05 loss: 0.0903 (0.0988) loss_seg: 0.0898 (0.0982) loss_lansim: 0.0378 (0.0535) loss_contra: 0.0012 (0.0149) time: 3.0547 data: 0.0064 max mem: 31630 Epoch: [14] [2520/5278] eta: 2:23:15 lr: 3.3369116846275425e-05 loss: 0.0903 (0.0989) loss_seg: 0.0898 (0.0982) loss_lansim: 0.0384 (0.0535) loss_contra: 0.0013 (0.0148) time: 3.0554 data: 0.0064 max mem: 31630 Epoch: [14] [2530/5278] eta: 2:22:44 lr: 3.3366887391485616e-05 loss: 0.0890 (0.0988) loss_seg: 0.0885 (0.0982) loss_lansim: 0.0385 (0.0534) loss_contra: 0.0015 (0.0148) time: 3.0667 data: 0.0064 max mem: 31630 Epoch: [14] [2540/5278] eta: 2:22:12 lr: 3.336465792014413e-05 loss: 0.0890 (0.0989) loss_seg: 0.0885 (0.0982) loss_lansim: 0.0385 (0.0534) loss_contra: 0.0016 (0.0149) time: 3.0597 data: 0.0064 max mem: 31630 Epoch: [14] [2550/5278] eta: 2:21:40 lr: 3.336242843224958e-05 loss: 0.0900 (0.0989) loss_seg: 0.0896 (0.0982) loss_lansim: 0.0385 (0.0533) loss_contra: 0.0013 (0.0148) time: 3.0605 data: 0.0063 max mem: 31630 Epoch: [14] [2560/5278] eta: 2:21:08 lr: 3.3360198927800657e-05 loss: 0.0898 (0.0988) loss_seg: 0.0893 (0.0981) loss_lansim: 0.0391 (0.0533) loss_contra: 0.0013 (0.0148) time: 3.0655 data: 0.0063 max mem: 31630 Epoch: [14] [2570/5278] eta: 2:20:36 lr: 3.335796940679598e-05 loss: 0.0898 (0.0988) loss_seg: 0.0893 (0.0981) loss_lansim: 0.0391 (0.0532) loss_contra: 0.0016 (0.0147) time: 3.0675 data: 0.0063 max mem: 31630 Epoch: [14] [2580/5278] eta: 2:20:04 lr: 3.33557398692342e-05 loss: 0.0903 (0.0989) loss_seg: 0.0899 (0.0982) loss_lansim: 0.0389 (0.0532) loss_contra: 0.0014 (0.0147) time: 3.0634 data: 0.0063 max mem: 31630 Epoch: [14] [2590/5278] eta: 2:19:32 lr: 3.3353510315113975e-05 loss: 0.0915 (0.0990) loss_seg: 0.0912 (0.0983) loss_lansim: 0.0391 (0.0532) loss_contra: 0.0016 (0.0147) time: 3.0639 data: 0.0062 max mem: 31630 Epoch: [14] [2600/5278] eta: 2:19:00 lr: 3.3351280744433946e-05 loss: 0.0915 (0.0990) loss_seg: 0.0912 (0.0984) loss_lansim: 0.0396 (0.0531) loss_contra: 0.0014 (0.0147) time: 3.0492 data: 0.0062 max mem: 31630 Epoch: [14] [2610/5278] eta: 2:18:28 lr: 3.334905115719275e-05 loss: 0.0915 (0.0990) loss_seg: 0.0912 (0.0983) loss_lansim: 0.0389 (0.0530) loss_contra: 0.0014 (0.0146) time: 3.0443 data: 0.0062 max mem: 31630 Epoch: [14] [2620/5278] eta: 2:17:56 lr: 3.334682155338905e-05 loss: 0.0937 (0.0990) loss_seg: 0.0933 (0.0984) loss_lansim: 0.0389 (0.0530) loss_contra: 0.0014 (0.0146) time: 3.0408 data: 0.0062 max mem: 31630 Epoch: [14] [2630/5278] eta: 2:17:25 lr: 3.334459193302148e-05 loss: 0.0956 (0.0991) loss_seg: 0.0952 (0.0984) loss_lansim: 0.0389 (0.0529) loss_contra: 0.0010 (0.0145) time: 3.0458 data: 0.0062 max mem: 31630 Epoch: [14] [2640/5278] eta: 2:16:53 lr: 3.3342362296088705e-05 loss: 0.0969 (0.0991) loss_seg: 0.0964 (0.0984) loss_lansim: 0.0382 (0.0529) loss_contra: 0.0009 (0.0145) time: 3.0485 data: 0.0062 max mem: 31630 Epoch: [14] [2650/5278] eta: 2:16:21 lr: 3.3340132642589345e-05 loss: 0.0977 (0.0991) loss_seg: 0.0973 (0.0984) loss_lansim: 0.0380 (0.0528) loss_contra: 0.0010 (0.0144) time: 3.0467 data: 0.0062 max mem: 31630 Epoch: [14] [2660/5278] eta: 2:15:50 lr: 3.333790297252206e-05 loss: 0.0969 (0.0990) loss_seg: 0.0964 (0.0984) loss_lansim: 0.0379 (0.0528) loss_contra: 0.0010 (0.0146) time: 3.0545 data: 0.0062 max mem: 31630 Epoch: [14] [2670/5278] eta: 2:15:18 lr: 3.3335673285885505e-05 loss: 0.0985 (0.0991) loss_seg: 0.0981 (0.0984) loss_lansim: 0.0374 (0.0527) loss_contra: 0.0010 (0.0145) time: 3.0497 data: 0.0062 max mem: 31630 Epoch: [14] [2680/5278] eta: 2:14:46 lr: 3.33334435826783e-05 loss: 0.0969 (0.0991) loss_seg: 0.0964 (0.0984) loss_lansim: 0.0368 (0.0526) loss_contra: 0.0010 (0.0146) time: 3.0508 data: 0.0062 max mem: 31630 Epoch: [14] [2690/5278] eta: 2:14:17 lr: 3.333121386289912e-05 loss: 0.0979 (0.0991) loss_seg: 0.0975 (0.0984) loss_lansim: 0.0360 (0.0526) loss_contra: 0.0010 (0.0146) time: 3.0771 data: 0.0062 max mem: 31630 Epoch: [14] [2700/5278] eta: 2:13:45 lr: 3.332898412654659e-05 loss: 0.0950 (0.0991) loss_seg: 0.0945 (0.0984) loss_lansim: 0.0359 (0.0525) loss_contra: 0.0013 (0.0147) time: 3.0774 data: 0.0062 max mem: 31630 Epoch: [14] [2710/5278] eta: 2:13:15 lr: 3.332675437361935e-05 loss: 0.0935 (0.0990) loss_seg: 0.0927 (0.0984) loss_lansim: 0.0359 (0.0525) loss_contra: 0.0015 (0.0146) time: 3.0913 data: 0.0061 max mem: 31630 Epoch: [14] [2720/5278] eta: 2:12:41 lr: 3.332452460411607e-05 loss: 0.0904 (0.0989) loss_seg: 0.0898 (0.0983) loss_lansim: 0.0356 (0.0524) loss_contra: 0.0016 (0.0146) time: 3.0789 data: 0.0061 max mem: 31630 Epoch: [14] [2730/5278] eta: 2:12:13 lr: 3.332229481803537e-05 loss: 0.0904 (0.0989) loss_seg: 0.0898 (0.0983) loss_lansim: 0.0354 (0.0523) loss_contra: 0.0017 (0.0146) time: 3.1072 data: 0.0061 max mem: 31630 Epoch: [14] [2740/5278] eta: 2:11:42 lr: 3.332006501537591e-05 loss: 0.0904 (0.0989) loss_seg: 0.0898 (0.0983) loss_lansim: 0.0352 (0.0523) loss_contra: 0.0020 (0.0145) time: 3.1164 data: 0.0061 max mem: 31630 Epoch: [14] [2750/5278] eta: 2:11:12 lr: 3.3317835196136324e-05 loss: 0.0904 (0.0989) loss_seg: 0.0901 (0.0982) loss_lansim: 0.0354 (0.0522) loss_contra: 0.0016 (0.0145) time: 3.1394 data: 0.0060 max mem: 31630 Epoch: [14] [2760/5278] eta: 2:10:42 lr: 3.331560536031525e-05 loss: 0.0925 (0.0990) loss_seg: 0.0919 (0.0983) loss_lansim: 0.0356 (0.0522) loss_contra: 0.0016 (0.0144) time: 3.1430 data: 0.0061 max mem: 31630 Epoch: [14] [2770/5278] eta: 2:10:09 lr: 3.331337550791136e-05 loss: 0.0922 (0.0990) loss_seg: 0.0919 (0.0983) loss_lansim: 0.0359 (0.0521) loss_contra: 0.0015 (0.0144) time: 3.1392 data: 0.0061 max mem: 31630 Epoch: [14] [2780/5278] eta: 2:09:38 lr: 3.3311145638923264e-05 loss: 0.0915 (0.0989) loss_seg: 0.0911 (0.0983) loss_lansim: 0.0356 (0.0521) loss_contra: 0.0013 (0.0144) time: 3.1397 data: 0.0062 max mem: 31630 Epoch: [14] [2790/5278] eta: 2:09:05 lr: 3.3308915753349616e-05 loss: 0.0876 (0.0989) loss_seg: 0.0873 (0.0982) loss_lansim: 0.0354 (0.0520) loss_contra: 0.0011 (0.0143) time: 3.1076 data: 0.0062 max mem: 31630 Epoch: [14] [2800/5278] eta: 2:08:34 lr: 3.330668585118907e-05 loss: 0.0915 (0.0989) loss_seg: 0.0911 (0.0983) loss_lansim: 0.0364 (0.0520) loss_contra: 0.0010 (0.0143) time: 3.1173 data: 0.0063 max mem: 31630 Epoch: [14] [2810/5278] eta: 2:08:02 lr: 3.3304455932440265e-05 loss: 0.0915 (0.0989) loss_seg: 0.0911 (0.0982) loss_lansim: 0.0368 (0.0519) loss_contra: 0.0009 (0.0142) time: 3.0972 data: 0.0063 max mem: 31630 Epoch: [14] [2820/5278] eta: 2:07:30 lr: 3.330222599710183e-05 loss: 0.0925 (0.0990) loss_seg: 0.0922 (0.0983) loss_lansim: 0.0353 (0.0519) loss_contra: 0.0009 (0.0142) time: 3.1149 data: 0.0063 max mem: 31630 Epoch: [14] [2830/5278] eta: 2:06:58 lr: 3.329999604517243e-05 loss: 0.0925 (0.0990) loss_seg: 0.0922 (0.0983) loss_lansim: 0.0364 (0.0518) loss_contra: 0.0009 (0.0142) time: 3.0671 data: 0.0064 max mem: 31630 Epoch: [14] [2840/5278] eta: 2:06:26 lr: 3.329776607665067e-05 loss: 0.0953 (0.0990) loss_seg: 0.0948 (0.0984) loss_lansim: 0.0364 (0.0518) loss_contra: 0.0007 (0.0142) time: 3.0617 data: 0.0065 max mem: 31630 Epoch: [14] [2850/5278] eta: 2:05:55 lr: 3.329553609153524e-05 loss: 0.0917 (0.0990) loss_seg: 0.0912 (0.0983) loss_lansim: 0.0359 (0.0517) loss_contra: 0.0009 (0.0142) time: 3.0390 data: 0.0065 max mem: 31630 Epoch: [14] [2860/5278] eta: 2:05:23 lr: 3.3293306089824746e-05 loss: 0.0914 (0.0989) loss_seg: 0.0911 (0.0983) loss_lansim: 0.0363 (0.0517) loss_contra: 0.0007 (0.0141) time: 3.0271 data: 0.0066 max mem: 31630 Epoch: [14] [2870/5278] eta: 2:04:51 lr: 3.3291076071517836e-05 loss: 0.0914 (0.0990) loss_seg: 0.0911 (0.0983) loss_lansim: 0.0366 (0.0516) loss_contra: 0.0006 (0.0141) time: 3.0323 data: 0.0066 max mem: 31630 Epoch: [14] [2880/5278] eta: 2:04:19 lr: 3.3288846036613167e-05 loss: 0.0914 (0.0989) loss_seg: 0.0911 (0.0983) loss_lansim: 0.0377 (0.0516) loss_contra: 0.0007 (0.0141) time: 3.0294 data: 0.0065 max mem: 31630 Epoch: [14] [2890/5278] eta: 2:03:48 lr: 3.328661598510936e-05 loss: 0.0914 (0.0989) loss_seg: 0.0911 (0.0983) loss_lansim: 0.0377 (0.0516) loss_contra: 0.0006 (0.0140) time: 3.0406 data: 0.0066 max mem: 31630 Epoch: [14] [2900/5278] eta: 2:03:17 lr: 3.328438591700507e-05 loss: 0.0892 (0.0989) loss_seg: 0.0888 (0.0983) loss_lansim: 0.0377 (0.0515) loss_contra: 0.0006 (0.0140) time: 3.0384 data: 0.0066 max mem: 31630 Epoch: [14] [2910/5278] eta: 2:02:45 lr: 3.328215583229893e-05 loss: 0.0876 (0.0989) loss_seg: 0.0872 (0.0982) loss_lansim: 0.0377 (0.0515) loss_contra: 0.0006 (0.0140) time: 3.0371 data: 0.0065 max mem: 31630 Epoch: [14] [2920/5278] eta: 2:02:13 lr: 3.327992573098958e-05 loss: 0.0872 (0.0988) loss_seg: 0.0868 (0.0981) loss_lansim: 0.0383 (0.0515) loss_contra: 0.0007 (0.0139) time: 3.0414 data: 0.0066 max mem: 31630 Epoch: [14] [2930/5278] eta: 2:01:42 lr: 3.3277695613075665e-05 loss: 0.0871 (0.0987) loss_seg: 0.0863 (0.0981) loss_lansim: 0.0389 (0.0514) loss_contra: 0.0006 (0.0139) time: 3.0496 data: 0.0066 max mem: 31630 Epoch: [14] [2940/5278] eta: 2:01:10 lr: 3.327546547855582e-05 loss: 0.0848 (0.0988) loss_seg: 0.0845 (0.0981) loss_lansim: 0.0389 (0.0514) loss_contra: 0.0007 (0.0139) time: 3.0487 data: 0.0066 max mem: 31630 Epoch: [14] [2950/5278] eta: 2:00:38 lr: 3.327323532742869e-05 loss: 0.0848 (0.0987) loss_seg: 0.0845 (0.0980) loss_lansim: 0.0389 (0.0514) loss_contra: 0.0008 (0.0139) time: 3.0458 data: 0.0066 max mem: 31630 Epoch: [14] [2960/5278] eta: 2:00:06 lr: 3.327100515969292e-05 loss: 0.0848 (0.0987) loss_seg: 0.0845 (0.0980) loss_lansim: 0.0391 (0.0513) loss_contra: 0.0009 (0.0138) time: 3.0395 data: 0.0067 max mem: 31630 Epoch: [14] [2970/5278] eta: 1:59:35 lr: 3.326877497534713e-05 loss: 0.0871 (0.0987) loss_seg: 0.0863 (0.0981) loss_lansim: 0.0397 (0.0513) loss_contra: 0.0009 (0.0138) time: 3.0483 data: 0.0067 max mem: 31630 Epoch: [14] [2980/5278] eta: 1:59:03 lr: 3.3266544774389976e-05 loss: 0.0892 (0.0988) loss_seg: 0.0886 (0.0981) loss_lansim: 0.0397 (0.0513) loss_contra: 0.0010 (0.0138) time: 3.0500 data: 0.0068 max mem: 31630 Epoch: [14] [2990/5278] eta: 1:58:31 lr: 3.3264314556820084e-05 loss: 0.0904 (0.0988) loss_seg: 0.0901 (0.0981) loss_lansim: 0.0399 (0.0512) loss_contra: 0.0010 (0.0137) time: 3.0386 data: 0.0068 max mem: 31630 Epoch: [14] [3000/5278] eta: 1:58:00 lr: 3.326208432263611e-05 loss: 0.0904 (0.0988) loss_seg: 0.0901 (0.0981) loss_lansim: 0.0398 (0.0512) loss_contra: 0.0009 (0.0137) time: 3.0325 data: 0.0067 max mem: 31630 Epoch: [14] [3010/5278] eta: 1:57:28 lr: 3.325985407183668e-05 loss: 0.0952 (0.0988) loss_seg: 0.0948 (0.0982) loss_lansim: 0.0401 (0.0512) loss_contra: 0.0009 (0.0137) time: 3.0365 data: 0.0066 max mem: 31630 Epoch: [14] [3020/5278] eta: 1:56:57 lr: 3.325762380442043e-05 loss: 0.0943 (0.0988) loss_seg: 0.0934 (0.0982) loss_lansim: 0.0399 (0.0511) loss_contra: 0.0009 (0.0137) time: 3.0373 data: 0.0067 max mem: 31630 Epoch: [14] [3030/5278] eta: 1:56:25 lr: 3.3255393520386e-05 loss: 0.0922 (0.0988) loss_seg: 0.0918 (0.0982) loss_lansim: 0.0398 (0.0511) loss_contra: 0.0009 (0.0137) time: 3.0322 data: 0.0066 max mem: 31630 Epoch: [14] [3040/5278] eta: 1:55:53 lr: 3.325316321973204e-05 loss: 0.0912 (0.0988) loss_seg: 0.0905 (0.0981) loss_lansim: 0.0407 (0.0511) loss_contra: 0.0009 (0.0137) time: 3.0249 data: 0.0066 max mem: 31630 Epoch: [14] [3050/5278] eta: 1:55:21 lr: 3.3250932902457164e-05 loss: 0.0977 (0.0989) loss_seg: 0.0974 (0.0982) loss_lansim: 0.0410 (0.0511) loss_contra: 0.0009 (0.0136) time: 3.0248 data: 0.0065 max mem: 31630 Epoch: [14] [3060/5278] eta: 1:54:50 lr: 3.324870256856004e-05 loss: 0.0952 (0.0989) loss_seg: 0.0948 (0.0982) loss_lansim: 0.0411 (0.0510) loss_contra: 0.0009 (0.0136) time: 3.0349 data: 0.0064 max mem: 31630 Epoch: [14] [3070/5278] eta: 1:54:18 lr: 3.324647221803928e-05 loss: 0.0943 (0.0989) loss_seg: 0.0934 (0.0982) loss_lansim: 0.0409 (0.0510) loss_contra: 0.0009 (0.0136) time: 3.0251 data: 0.0063 max mem: 31630 Epoch: [14] [3080/5278] eta: 1:53:46 lr: 3.324424185089353e-05 loss: 0.0912 (0.0989) loss_seg: 0.0905 (0.0982) loss_lansim: 0.0409 (0.0510) loss_contra: 0.0009 (0.0135) time: 3.0230 data: 0.0063 max mem: 31630 Epoch: [14] [3090/5278] eta: 1:53:14 lr: 3.324201146712143e-05 loss: 0.0888 (0.0988) loss_seg: 0.0884 (0.0981) loss_lansim: 0.0405 (0.0509) loss_contra: 0.0010 (0.0135) time: 3.0223 data: 0.0063 max mem: 31630 Epoch: [14] [3100/5278] eta: 1:52:43 lr: 3.3239781066721606e-05 loss: 0.0884 (0.0987) loss_seg: 0.0881 (0.0981) loss_lansim: 0.0407 (0.0509) loss_contra: 0.0010 (0.0135) time: 3.0227 data: 0.0063 max mem: 31630 Epoch: [14] [3110/5278] eta: 1:52:12 lr: 3.323755064969271e-05 loss: 0.0888 (0.0988) loss_seg: 0.0884 (0.0981) loss_lansim: 0.0405 (0.0509) loss_contra: 0.0010 (0.0135) time: 3.0270 data: 0.0064 max mem: 31630 Epoch: [14] [3120/5278] eta: 1:51:40 lr: 3.3235320216033366e-05 loss: 0.0888 (0.0988) loss_seg: 0.0884 (0.0982) loss_lansim: 0.0409 (0.0508) loss_contra: 0.0010 (0.0134) time: 3.0279 data: 0.0063 max mem: 31630 Epoch: [14] [3130/5278] eta: 1:51:08 lr: 3.32330897657422e-05 loss: 0.0896 (0.0988) loss_seg: 0.0892 (0.0982) loss_lansim: 0.0408 (0.0508) loss_contra: 0.0009 (0.0134) time: 3.0215 data: 0.0063 max mem: 31630 Epoch: [14] [3140/5278] eta: 1:50:37 lr: 3.3230859298817884e-05 loss: 0.0896 (0.0988) loss_seg: 0.0891 (0.0981) loss_lansim: 0.0405 (0.0508) loss_contra: 0.0007 (0.0133) time: 3.0250 data: 0.0062 max mem: 31630 Epoch: [14] [3150/5278] eta: 1:50:05 lr: 3.322862881525902e-05 loss: 0.0896 (0.0988) loss_seg: 0.0891 (0.0981) loss_lansim: 0.0395 (0.0507) loss_contra: 0.0006 (0.0133) time: 3.0259 data: 0.0062 max mem: 31630 Epoch: [14] [3160/5278] eta: 1:49:34 lr: 3.322639831506425e-05 loss: 0.0882 (0.0988) loss_seg: 0.0879 (0.0981) loss_lansim: 0.0392 (0.0507) loss_contra: 0.0007 (0.0133) time: 3.0254 data: 0.0063 max mem: 31630 Epoch: [14] [3170/5278] eta: 1:49:03 lr: 3.322416779823222e-05 loss: 0.0896 (0.0987) loss_seg: 0.0892 (0.0981) loss_lansim: 0.0390 (0.0507) loss_contra: 0.0007 (0.0132) time: 3.0366 data: 0.0063 max mem: 31630 Epoch: [14] [3180/5278] eta: 1:48:31 lr: 3.322193726476155e-05 loss: 0.0877 (0.0987) loss_seg: 0.0873 (0.0981) loss_lansim: 0.0388 (0.0506) loss_contra: 0.0007 (0.0132) time: 3.0387 data: 0.0063 max mem: 31630 Epoch: [14] [3190/5278] eta: 1:48:00 lr: 3.3219706714650886e-05 loss: 0.0877 (0.0987) loss_seg: 0.0873 (0.0980) loss_lansim: 0.0393 (0.0506) loss_contra: 0.0007 (0.0132) time: 3.0444 data: 0.0062 max mem: 31630 Epoch: [14] [3200/5278] eta: 1:47:29 lr: 3.3217476147898864e-05 loss: 0.0882 (0.0986) loss_seg: 0.0879 (0.0980) loss_lansim: 0.0392 (0.0505) loss_contra: 0.0006 (0.0131) time: 3.0535 data: 0.0063 max mem: 31630 Epoch: [14] [3210/5278] eta: 1:46:58 lr: 3.32152455645041e-05 loss: 0.0872 (0.0986) loss_seg: 0.0869 (0.0979) loss_lansim: 0.0392 (0.0505) loss_contra: 0.0005 (0.0131) time: 3.0544 data: 0.0062 max mem: 31630 Epoch: [14] [3220/5278] eta: 1:46:27 lr: 3.321301496446525e-05 loss: 0.0847 (0.0985) loss_seg: 0.0841 (0.0979) loss_lansim: 0.0391 (0.0505) loss_contra: 0.0007 (0.0131) time: 3.0534 data: 0.0062 max mem: 31630 Epoch: [14] [3230/5278] eta: 1:45:56 lr: 3.3210784347780934e-05 loss: 0.0847 (0.0987) loss_seg: 0.0841 (0.0980) loss_lansim: 0.0393 (0.0505) loss_contra: 0.0007 (0.0130) time: 3.0727 data: 0.0063 max mem: 31630 Epoch: [14] [3240/5278] eta: 1:45:24 lr: 3.320855371444979e-05 loss: 0.0862 (0.0986) loss_seg: 0.0857 (0.0980) loss_lansim: 0.0391 (0.0504) loss_contra: 0.0007 (0.0130) time: 3.0754 data: 0.0064 max mem: 31630 Epoch: [14] [3250/5278] eta: 1:44:54 lr: 3.320632306447046e-05 loss: 0.0862 (0.0986) loss_seg: 0.0857 (0.0980) loss_lansim: 0.0395 (0.0504) loss_contra: 0.0007 (0.0130) time: 3.0899 data: 0.0064 max mem: 31630 Epoch: [14] [3260/5278] eta: 1:44:22 lr: 3.320409239784155e-05 loss: 0.0869 (0.0986) loss_seg: 0.0864 (0.0980) loss_lansim: 0.0397 (0.0504) loss_contra: 0.0006 (0.0130) time: 3.0908 data: 0.0064 max mem: 31630 Epoch: [14] [3270/5278] eta: 1:43:54 lr: 3.320186171456173e-05 loss: 0.0872 (0.0986) loss_seg: 0.0869 (0.0980) loss_lansim: 0.0399 (0.0504) loss_contra: 0.0006 (0.0129) time: 3.1251 data: 0.0064 max mem: 31630 Epoch: [14] [3280/5278] eta: 1:43:22 lr: 3.3199631014629605e-05 loss: 0.0872 (0.0986) loss_seg: 0.0869 (0.0980) loss_lansim: 0.0400 (0.0503) loss_contra: 0.0007 (0.0129) time: 3.1172 data: 0.0063 max mem: 31630 Epoch: [14] [3290/5278] eta: 1:42:51 lr: 3.319740029804382e-05 loss: 0.0881 (0.0986) loss_seg: 0.0876 (0.0979) loss_lansim: 0.0395 (0.0503) loss_contra: 0.0008 (0.0130) time: 3.1295 data: 0.0063 max mem: 31630 Epoch: [14] [3300/5278] eta: 1:42:20 lr: 3.3195169564803005e-05 loss: 0.0894 (0.0986) loss_seg: 0.0890 (0.0980) loss_lansim: 0.0397 (0.0502) loss_contra: 0.0009 (0.0130) time: 3.1287 data: 0.0063 max mem: 31630 Epoch: [14] [3310/5278] eta: 1:41:48 lr: 3.319293881490578e-05 loss: 0.0898 (0.0986) loss_seg: 0.0894 (0.0979) loss_lansim: 0.0395 (0.0502) loss_contra: 0.0009 (0.0130) time: 3.1213 data: 0.0063 max mem: 31630 Epoch: [14] [3320/5278] eta: 1:41:17 lr: 3.31907080483508e-05 loss: 0.0921 (0.0986) loss_seg: 0.0918 (0.0980) loss_lansim: 0.0400 (0.0502) loss_contra: 0.0010 (0.0129) time: 3.1226 data: 0.0062 max mem: 31630 Epoch: [14] [3330/5278] eta: 1:40:46 lr: 3.318847726513669e-05 loss: 0.0912 (0.0986) loss_seg: 0.0909 (0.0979) loss_lansim: 0.0398 (0.0502) loss_contra: 0.0010 (0.0129) time: 3.1164 data: 0.0062 max mem: 31630 Epoch: [14] [3340/5278] eta: 1:40:15 lr: 3.3186246465262055e-05 loss: 0.0907 (0.0985) loss_seg: 0.0903 (0.0979) loss_lansim: 0.0395 (0.0501) loss_contra: 0.0009 (0.0129) time: 3.1142 data: 0.0062 max mem: 31630 Epoch: [14] [3350/5278] eta: 1:39:44 lr: 3.318401564872556e-05 loss: 0.0894 (0.0985) loss_seg: 0.0890 (0.0978) loss_lansim: 0.0392 (0.0501) loss_contra: 0.0009 (0.0128) time: 3.1110 data: 0.0062 max mem: 31630 Epoch: [14] [3360/5278] eta: 1:39:12 lr: 3.318178481552582e-05 loss: 0.0861 (0.0984) loss_seg: 0.0855 (0.0978) loss_lansim: 0.0385 (0.0501) loss_contra: 0.0010 (0.0128) time: 3.1091 data: 0.0061 max mem: 31630 Epoch: [14] [3370/5278] eta: 1:38:41 lr: 3.317955396566147e-05 loss: 0.0861 (0.0984) loss_seg: 0.0855 (0.0978) loss_lansim: 0.0378 (0.0500) loss_contra: 0.0009 (0.0128) time: 3.0662 data: 0.0061 max mem: 31630 Epoch: [14] [3380/5278] eta: 1:38:10 lr: 3.317732309913114e-05 loss: 0.0874 (0.0984) loss_seg: 0.0869 (0.0978) loss_lansim: 0.0375 (0.0500) loss_contra: 0.0008 (0.0128) time: 3.0776 data: 0.0062 max mem: 31630 Epoch: [14] [3390/5278] eta: 1:37:39 lr: 3.317509221593346e-05 loss: 0.0874 (0.0984) loss_seg: 0.0869 (0.0978) loss_lansim: 0.0378 (0.0500) loss_contra: 0.0008 (0.0127) time: 3.0732 data: 0.0062 max mem: 31630 Epoch: [14] [3400/5278] eta: 1:37:07 lr: 3.317286131606705e-05 loss: 0.0937 (0.0984) loss_seg: 0.0933 (0.0978) loss_lansim: 0.0376 (0.0499) loss_contra: 0.0008 (0.0127) time: 3.0654 data: 0.0062 max mem: 31630 Epoch: [14] [3410/5278] eta: 1:36:37 lr: 3.317063039953056e-05 loss: 0.0961 (0.0985) loss_seg: 0.0958 (0.0978) loss_lansim: 0.0375 (0.0499) loss_contra: 0.0007 (0.0127) time: 3.0772 data: 0.0061 max mem: 31630 Epoch: [14] [3420/5278] eta: 1:36:05 lr: 3.31683994663226e-05 loss: 0.0903 (0.0985) loss_seg: 0.0899 (0.0979) loss_lansim: 0.0373 (0.0499) loss_contra: 0.0007 (0.0126) time: 3.0752 data: 0.0062 max mem: 31630 Epoch: [14] [3430/5278] eta: 1:35:34 lr: 3.316616851644182e-05 loss: 0.0902 (0.0985) loss_seg: 0.0899 (0.0978) loss_lansim: 0.0367 (0.0498) loss_contra: 0.0008 (0.0126) time: 3.0735 data: 0.0061 max mem: 31630 Epoch: [14] [3440/5278] eta: 1:35:03 lr: 3.3163937549886834e-05 loss: 0.0940 (0.0985) loss_seg: 0.0937 (0.0978) loss_lansim: 0.0356 (0.0498) loss_contra: 0.0008 (0.0126) time: 3.0828 data: 0.0062 max mem: 31630 Epoch: [14] [3450/5278] eta: 1:34:32 lr: 3.316170656665627e-05 loss: 0.0887 (0.0984) loss_seg: 0.0883 (0.0978) loss_lansim: 0.0355 (0.0498) loss_contra: 0.0008 (0.0126) time: 3.0812 data: 0.0062 max mem: 31630 Epoch: [14] [3460/5278] eta: 1:34:01 lr: 3.3159475566748774e-05 loss: 0.0878 (0.0984) loss_seg: 0.0869 (0.0977) loss_lansim: 0.0354 (0.0497) loss_contra: 0.0009 (0.0126) time: 3.0782 data: 0.0062 max mem: 31630 Epoch: [14] [3470/5278] eta: 1:33:30 lr: 3.3157244550162945e-05 loss: 0.0887 (0.0983) loss_seg: 0.0883 (0.0977) loss_lansim: 0.0349 (0.0497) loss_contra: 0.0008 (0.0126) time: 3.0855 data: 0.0062 max mem: 31630 Epoch: [14] [3480/5278] eta: 1:32:59 lr: 3.315501351689744e-05 loss: 0.0878 (0.0984) loss_seg: 0.0866 (0.0978) loss_lansim: 0.0348 (0.0496) loss_contra: 0.0009 (0.0126) time: 3.0882 data: 0.0061 max mem: 31630 Epoch: [14] [3490/5278] eta: 1:32:27 lr: 3.315278246695087e-05 loss: 0.0887 (0.0984) loss_seg: 0.0883 (0.0978) loss_lansim: 0.0348 (0.0496) loss_contra: 0.0009 (0.0126) time: 3.0768 data: 0.0061 max mem: 31630 Epoch: [14] [3500/5278] eta: 1:31:57 lr: 3.315055140032187e-05 loss: 0.0865 (0.0984) loss_seg: 0.0855 (0.0977) loss_lansim: 0.0347 (0.0495) loss_contra: 0.0010 (0.0126) time: 3.0934 data: 0.0061 max mem: 31630 Epoch: [14] [3510/5278] eta: 1:31:25 lr: 3.314832031700907e-05 loss: 0.0869 (0.0984) loss_seg: 0.0862 (0.0978) loss_lansim: 0.0337 (0.0495) loss_contra: 0.0010 (0.0126) time: 3.0865 data: 0.0061 max mem: 31630 Epoch: [14] [3520/5278] eta: 1:30:54 lr: 3.3146089217011096e-05 loss: 0.0874 (0.0985) loss_seg: 0.0866 (0.0979) loss_lansim: 0.0337 (0.0495) loss_contra: 0.0010 (0.0126) time: 3.0829 data: 0.0062 max mem: 31630 Epoch: [14] [3530/5278] eta: 1:30:23 lr: 3.314385810032657e-05 loss: 0.0920 (0.0985) loss_seg: 0.0916 (0.0979) loss_lansim: 0.0335 (0.0494) loss_contra: 0.0009 (0.0126) time: 3.0853 data: 0.0063 max mem: 31630 Epoch: [14] [3540/5278] eta: 1:29:52 lr: 3.314162696695412e-05 loss: 0.0945 (0.0986) loss_seg: 0.0940 (0.0980) loss_lansim: 0.0347 (0.0494) loss_contra: 0.0012 (0.0127) time: 3.0825 data: 0.0063 max mem: 31630 Epoch: [14] [3550/5278] eta: 1:29:21 lr: 3.3139395816892374e-05 loss: 0.0977 (0.0988) loss_seg: 0.0973 (0.0982) loss_lansim: 0.0348 (0.0494) loss_contra: 0.0013 (0.0127) time: 3.0786 data: 0.0062 max mem: 31630 Epoch: [14] [3560/5278] eta: 1:28:50 lr: 3.3137164650139976e-05 loss: 0.1046 (0.0989) loss_seg: 0.1043 (0.0983) loss_lansim: 0.0354 (0.0493) loss_contra: 0.0018 (0.0127) time: 3.0868 data: 0.0063 max mem: 31630 Epoch: [14] [3570/5278] eta: 1:28:18 lr: 3.313493346669552e-05 loss: 0.1052 (0.0989) loss_seg: 0.1048 (0.0983) loss_lansim: 0.0367 (0.0493) loss_contra: 0.0020 (0.0127) time: 3.0802 data: 0.0063 max mem: 31630 Epoch: [14] [3580/5278] eta: 1:27:47 lr: 3.313270226655765e-05 loss: 0.1088 (0.0990) loss_seg: 0.1084 (0.0984) loss_lansim: 0.0375 (0.0493) loss_contra: 0.0025 (0.0127) time: 3.0785 data: 0.0063 max mem: 31630 Epoch: [14] [3590/5278] eta: 1:27:16 lr: 3.3130471049725006e-05 loss: 0.1143 (0.0991) loss_seg: 0.1136 (0.0985) loss_lansim: 0.0382 (0.0493) loss_contra: 0.0029 (0.0128) time: 3.0886 data: 0.0063 max mem: 31630 Epoch: [14] [3600/5278] eta: 1:26:45 lr: 3.312823981619618e-05 loss: 0.1162 (0.0991) loss_seg: 0.1148 (0.0985) loss_lansim: 0.0393 (0.0493) loss_contra: 0.0025 (0.0127) time: 3.0721 data: 0.0063 max mem: 31630 Epoch: [14] [3610/5278] eta: 1:26:14 lr: 3.312600856596983e-05 loss: 0.1139 (0.0991) loss_seg: 0.1131 (0.0985) loss_lansim: 0.0401 (0.0493) loss_contra: 0.0030 (0.0127) time: 3.0804 data: 0.0063 max mem: 31630 Epoch: [14] [3620/5278] eta: 1:25:43 lr: 3.312377729904456e-05 loss: 0.1149 (0.0991) loss_seg: 0.1139 (0.0985) loss_lansim: 0.0399 (0.0492) loss_contra: 0.0025 (0.0128) time: 3.0845 data: 0.0063 max mem: 31630 Epoch: [14] [3630/5278] eta: 1:25:12 lr: 3.3121546015419e-05 loss: 0.1152 (0.0991) loss_seg: 0.1139 (0.0985) loss_lansim: 0.0399 (0.0492) loss_contra: 0.0025 (0.0128) time: 3.0851 data: 0.0062 max mem: 31630 Epoch: [14] [3640/5278] eta: 1:24:41 lr: 3.311931471509178e-05 loss: 0.1136 (0.0992) loss_seg: 0.1124 (0.0986) loss_lansim: 0.0398 (0.0492) loss_contra: 0.0029 (0.0129) time: 3.0818 data: 0.0062 max mem: 31630 Epoch: [14] [3650/5278] eta: 1:24:09 lr: 3.311708339806153e-05 loss: 0.1136 (0.0993) loss_seg: 0.1124 (0.0987) loss_lansim: 0.0400 (0.0491) loss_contra: 0.0018 (0.0129) time: 3.0808 data: 0.0062 max mem: 31630 Epoch: [14] [3660/5278] eta: 1:23:38 lr: 3.311485206432686e-05 loss: 0.1055 (0.0994) loss_seg: 0.1052 (0.0987) loss_lansim: 0.0401 (0.0491) loss_contra: 0.0024 (0.0129) time: 3.0728 data: 0.0061 max mem: 31630 Epoch: [14] [3670/5278] eta: 1:23:07 lr: 3.311262071388641e-05 loss: 0.1055 (0.0994) loss_seg: 0.1052 (0.0988) loss_lansim: 0.0401 (0.0491) loss_contra: 0.0021 (0.0129) time: 3.0809 data: 0.0061 max mem: 31630 Epoch: [14] [3680/5278] eta: 1:22:36 lr: 3.311038934673878e-05 loss: 0.1046 (0.0994) loss_seg: 0.1041 (0.0987) loss_lansim: 0.0400 (0.0491) loss_contra: 0.0021 (0.0129) time: 3.0787 data: 0.0061 max mem: 31630 Epoch: [14] [3690/5278] eta: 1:22:05 lr: 3.310815796288261e-05 loss: 0.0995 (0.0994) loss_seg: 0.0992 (0.0988) loss_lansim: 0.0401 (0.0491) loss_contra: 0.0016 (0.0129) time: 3.0755 data: 0.0061 max mem: 31630 Epoch: [14] [3700/5278] eta: 1:21:34 lr: 3.310592656231654e-05 loss: 0.0993 (0.0994) loss_seg: 0.0987 (0.0988) loss_lansim: 0.0401 (0.0491) loss_contra: 0.0023 (0.0129) time: 3.0781 data: 0.0061 max mem: 31630 Epoch: [14] [3710/5278] eta: 1:21:03 lr: 3.310369514503916e-05 loss: 0.0986 (0.0994) loss_seg: 0.0982 (0.0987) loss_lansim: 0.0401 (0.0491) loss_contra: 0.0023 (0.0129) time: 3.0728 data: 0.0061 max mem: 31630 Epoch: [14] [3720/5278] eta: 1:20:31 lr: 3.310146371104912e-05 loss: 0.0956 (0.0993) loss_seg: 0.0933 (0.0987) loss_lansim: 0.0423 (0.0491) loss_contra: 0.0028 (0.0131) time: 3.0696 data: 0.0061 max mem: 31630 Epoch: [14] [3730/5278] eta: 1:20:00 lr: 3.3099232260345027e-05 loss: 0.0966 (0.0994) loss_seg: 0.0963 (0.0988) loss_lansim: 0.0430 (0.0490) loss_contra: 0.0032 (0.0131) time: 3.0711 data: 0.0062 max mem: 31630 Epoch: [14] [3740/5278] eta: 1:19:29 lr: 3.3097000792925504e-05 loss: 0.0963 (0.0994) loss_seg: 0.0960 (0.0988) loss_lansim: 0.0430 (0.0490) loss_contra: 0.0032 (0.0131) time: 3.0728 data: 0.0062 max mem: 31630 Epoch: [14] [3750/5278] eta: 1:18:58 lr: 3.3094769308789184e-05 loss: 0.0963 (0.0995) loss_seg: 0.0960 (0.0989) loss_lansim: 0.0428 (0.0490) loss_contra: 0.0032 (0.0131) time: 3.0697 data: 0.0062 max mem: 31630 Epoch: [14] [3760/5278] eta: 1:18:27 lr: 3.309253780793468e-05 loss: 0.0993 (0.0996) loss_seg: 0.0987 (0.0990) loss_lansim: 0.0428 (0.0490) loss_contra: 0.0027 (0.0131) time: 3.0786 data: 0.0062 max mem: 31630 Epoch: [14] [3770/5278] eta: 1:17:56 lr: 3.309030629036063e-05 loss: 0.1051 (0.0996) loss_seg: 0.1047 (0.0990) loss_lansim: 0.0428 (0.0490) loss_contra: 0.0027 (0.0132) time: 3.0699 data: 0.0062 max mem: 31630 Epoch: [14] [3780/5278] eta: 1:17:24 lr: 3.3088074756065635e-05 loss: 0.1063 (0.0997) loss_seg: 0.1056 (0.0991) loss_lansim: 0.0424 (0.0490) loss_contra: 0.0024 (0.0131) time: 3.0609 data: 0.0062 max mem: 31630 Epoch: [14] [3790/5278] eta: 1:16:53 lr: 3.3085843205048325e-05 loss: 0.1070 (0.0998) loss_seg: 0.1064 (0.0991) loss_lansim: 0.0418 (0.0489) loss_contra: 0.0025 (0.0131) time: 3.0614 data: 0.0062 max mem: 31630 Epoch: [14] [3800/5278] eta: 1:16:22 lr: 3.308361163730733e-05 loss: 0.1056 (0.0997) loss_seg: 0.1052 (0.0991) loss_lansim: 0.0415 (0.0489) loss_contra: 0.0024 (0.0131) time: 3.0580 data: 0.0063 max mem: 31630 Epoch: [14] [3810/5278] eta: 1:15:50 lr: 3.308138005284126e-05 loss: 0.1063 (0.0997) loss_seg: 0.1056 (0.0991) loss_lansim: 0.0415 (0.0489) loss_contra: 0.0024 (0.0131) time: 3.0501 data: 0.0062 max mem: 31630 Epoch: [14] [3820/5278] eta: 1:15:19 lr: 3.307914845164874e-05 loss: 0.1070 (0.0998) loss_seg: 0.1064 (0.0991) loss_lansim: 0.0415 (0.0489) loss_contra: 0.0021 (0.0131) time: 3.0439 data: 0.0062 max mem: 31630 Epoch: [14] [3830/5278] eta: 1:14:48 lr: 3.307691683372839e-05 loss: 0.1058 (0.0998) loss_seg: 0.1053 (0.0991) loss_lansim: 0.0417 (0.0489) loss_contra: 0.0012 (0.0131) time: 3.0338 data: 0.0063 max mem: 31630 Epoch: [14] [3840/5278] eta: 1:14:16 lr: 3.307468519907883e-05 loss: 0.1054 (0.0997) loss_seg: 0.1050 (0.0991) loss_lansim: 0.0403 (0.0488) loss_contra: 0.0012 (0.0131) time: 3.0167 data: 0.0062 max mem: 31630 Epoch: [14] [3850/5278] eta: 1:13:44 lr: 3.307245354769868e-05 loss: 0.1019 (0.0998) loss_seg: 0.1015 (0.0991) loss_lansim: 0.0403 (0.0488) loss_contra: 0.0012 (0.0131) time: 3.0043 data: 0.0062 max mem: 31630 Epoch: [14] [3860/5278] eta: 1:13:13 lr: 3.307022187958656e-05 loss: 0.0982 (0.0997) loss_seg: 0.0975 (0.0991) loss_lansim: 0.0391 (0.0488) loss_contra: 0.0017 (0.0131) time: 2.9912 data: 0.0062 max mem: 31630 Epoch: [14] [3870/5278] eta: 1:12:41 lr: 3.3067990194741096e-05 loss: 0.0980 (0.0997) loss_seg: 0.0973 (0.0991) loss_lansim: 0.0385 (0.0488) loss_contra: 0.0020 (0.0130) time: 2.9794 data: 0.0062 max mem: 31630 Epoch: [14] [3880/5278] eta: 1:12:10 lr: 3.30657584931609e-05 loss: 0.0967 (0.0998) loss_seg: 0.0964 (0.0992) loss_lansim: 0.0381 (0.0487) loss_contra: 0.0019 (0.0131) time: 2.9819 data: 0.0062 max mem: 31630 Epoch: [14] [3890/5278] eta: 1:11:39 lr: 3.30635267748446e-05 loss: 0.0912 (0.0998) loss_seg: 0.0901 (0.0992) loss_lansim: 0.0381 (0.0487) loss_contra: 0.0020 (0.0131) time: 2.9725 data: 0.0062 max mem: 31630 Epoch: [14] [3900/5278] eta: 1:11:07 lr: 3.3061295039790804e-05 loss: 0.0947 (0.0999) loss_seg: 0.0927 (0.0993) loss_lansim: 0.0386 (0.0487) loss_contra: 0.0020 (0.0131) time: 2.9675 data: 0.0062 max mem: 31630 Epoch: [14] [3910/5278] eta: 1:10:36 lr: 3.305906328799814e-05 loss: 0.0967 (0.0999) loss_seg: 0.0962 (0.0993) loss_lansim: 0.0394 (0.0487) loss_contra: 0.0020 (0.0131) time: 2.9681 data: 0.0062 max mem: 31630 Epoch: [14] [3920/5278] eta: 1:10:05 lr: 3.305683151946522e-05 loss: 0.0971 (0.1000) loss_seg: 0.0966 (0.0994) loss_lansim: 0.0386 (0.0487) loss_contra: 0.0023 (0.0131) time: 2.9714 data: 0.0062 max mem: 31630 Epoch: [14] [3930/5278] eta: 1:09:33 lr: 3.305459973419068e-05 loss: 0.0967 (0.1000) loss_seg: 0.0962 (0.0993) loss_lansim: 0.0387 (0.0487) loss_contra: 0.0028 (0.0131) time: 2.9703 data: 0.0062 max mem: 31630 Epoch: [14] [3940/5278] eta: 1:09:02 lr: 3.305236793217311e-05 loss: 0.0971 (0.1000) loss_seg: 0.0966 (0.0994) loss_lansim: 0.0394 (0.0486) loss_contra: 0.0026 (0.0131) time: 2.9812 data: 0.0062 max mem: 31630 Epoch: [14] [3950/5278] eta: 1:08:31 lr: 3.305013611341115e-05 loss: 0.0971 (0.1000) loss_seg: 0.0966 (0.0994) loss_lansim: 0.0399 (0.0486) loss_contra: 0.0028 (0.0132) time: 2.9975 data: 0.0062 max mem: 31630 Epoch: [14] [3960/5278] eta: 1:08:00 lr: 3.3047904277903416e-05 loss: 0.0983 (0.1000) loss_seg: 0.0978 (0.0994) loss_lansim: 0.0400 (0.0486) loss_contra: 0.0029 (0.0132) time: 3.0127 data: 0.0062 max mem: 31630 Epoch: [14] [3970/5278] eta: 1:07:29 lr: 3.304567242564851e-05 loss: 0.0966 (0.1000) loss_seg: 0.0959 (0.0994) loss_lansim: 0.0400 (0.0486) loss_contra: 0.0030 (0.0132) time: 3.0265 data: 0.0063 max mem: 31630 Epoch: [14] [3980/5278] eta: 1:06:58 lr: 3.304344055664507e-05 loss: 0.0955 (0.1000) loss_seg: 0.0952 (0.0994) loss_lansim: 0.0403 (0.0486) loss_contra: 0.0038 (0.0132) time: 3.0323 data: 0.0063 max mem: 31630 Epoch: [14] [3990/5278] eta: 1:06:27 lr: 3.30412086708917e-05 loss: 0.0958 (0.1000) loss_seg: 0.0952 (0.0994) loss_lansim: 0.0400 (0.0485) loss_contra: 0.0041 (0.0132) time: 3.0456 data: 0.0062 max mem: 31630 Epoch: [14] [4000/5278] eta: 1:05:56 lr: 3.303897676838702e-05 loss: 0.0931 (0.1000) loss_seg: 0.0925 (0.0994) loss_lansim: 0.0400 (0.0485) loss_contra: 0.0041 (0.0132) time: 3.0594 data: 0.0063 max mem: 31630 Epoch: [14] [4010/5278] eta: 1:05:25 lr: 3.3036744849129654e-05 loss: 0.0921 (0.1000) loss_seg: 0.0917 (0.0994) loss_lansim: 0.0400 (0.0485) loss_contra: 0.0044 (0.0132) time: 3.0619 data: 0.0062 max mem: 31630 Epoch: [14] [4020/5278] eta: 1:04:54 lr: 3.3034512913118203e-05 loss: 0.0905 (0.1000) loss_seg: 0.0900 (0.0994) loss_lansim: 0.0391 (0.0485) loss_contra: 0.0042 (0.0132) time: 3.0731 data: 0.0063 max mem: 31630 Epoch: [14] [4030/5278] eta: 1:04:23 lr: 3.3032280960351296e-05 loss: 0.0921 (0.1000) loss_seg: 0.0917 (0.0994) loss_lansim: 0.0386 (0.0484) loss_contra: 0.0041 (0.0132) time: 3.0804 data: 0.0063 max mem: 31630 Epoch: [14] [4040/5278] eta: 1:03:52 lr: 3.3030048990827556e-05 loss: 0.0931 (0.1001) loss_seg: 0.0925 (0.0994) loss_lansim: 0.0383 (0.0484) loss_contra: 0.0038 (0.0132) time: 3.0889 data: 0.0062 max mem: 31630 Epoch: [14] [4050/5278] eta: 1:03:21 lr: 3.302781700454558e-05 loss: 0.0927 (0.1000) loss_seg: 0.0921 (0.0994) loss_lansim: 0.0370 (0.0484) loss_contra: 0.0030 (0.0132) time: 3.0911 data: 0.0063 max mem: 31630 Epoch: [14] [4060/5278] eta: 1:02:50 lr: 3.3025585001504e-05 loss: 0.0937 (0.1001) loss_seg: 0.0933 (0.0995) loss_lansim: 0.0365 (0.0483) loss_contra: 0.0028 (0.0132) time: 3.0938 data: 0.0062 max mem: 31630 Epoch: [14] [4070/5278] eta: 1:02:19 lr: 3.3023352981701416e-05 loss: 0.0953 (0.1001) loss_seg: 0.0947 (0.0995) loss_lansim: 0.0363 (0.0483) loss_contra: 0.0026 (0.0132) time: 3.0860 data: 0.0062 max mem: 31630 Epoch: [14] [4080/5278] eta: 1:01:48 lr: 3.3021120945136455e-05 loss: 0.0953 (0.1001) loss_seg: 0.0947 (0.0995) loss_lansim: 0.0365 (0.0483) loss_contra: 0.0021 (0.0132) time: 3.0914 data: 0.0062 max mem: 31630 Epoch: [14] [4090/5278] eta: 1:01:17 lr: 3.301888889180774e-05 loss: 0.0937 (0.1001) loss_seg: 0.0933 (0.0995) loss_lansim: 0.0361 (0.0483) loss_contra: 0.0015 (0.0131) time: 3.0898 data: 0.0063 max mem: 31630 Epoch: [14] [4100/5278] eta: 1:00:46 lr: 3.3016656821713863e-05 loss: 0.0952 (0.1001) loss_seg: 0.0945 (0.0995) loss_lansim: 0.0359 (0.0482) loss_contra: 0.0015 (0.0131) time: 3.0855 data: 0.0062 max mem: 31630 Epoch: [14] [4110/5278] eta: 1:00:15 lr: 3.301442473485346e-05 loss: 0.0937 (0.1001) loss_seg: 0.0932 (0.0995) loss_lansim: 0.0360 (0.0482) loss_contra: 0.0011 (0.0131) time: 3.0899 data: 0.0062 max mem: 31630 Epoch: [14] [4120/5278] eta: 0:59:44 lr: 3.3012192631225134e-05 loss: 0.0937 (0.1001) loss_seg: 0.0933 (0.0995) loss_lansim: 0.0365 (0.0482) loss_contra: 0.0011 (0.0131) time: 3.0916 data: 0.0062 max mem: 31630 Epoch: [14] [4130/5278] eta: 0:59:13 lr: 3.30099605108275e-05 loss: 0.0960 (0.1002) loss_seg: 0.0947 (0.0996) loss_lansim: 0.0364 (0.0482) loss_contra: 0.0011 (0.0131) time: 3.0942 data: 0.0061 max mem: 31630 Epoch: [14] [4140/5278] eta: 0:58:42 lr: 3.3007728373659175e-05 loss: 0.0899 (0.1002) loss_seg: 0.0895 (0.0995) loss_lansim: 0.0364 (0.0481) loss_contra: 0.0012 (0.0131) time: 3.0897 data: 0.0061 max mem: 31630 Epoch: [14] [4150/5278] eta: 0:58:12 lr: 3.300549621971877e-05 loss: 0.0925 (0.1002) loss_seg: 0.0913 (0.0996) loss_lansim: 0.0368 (0.0481) loss_contra: 0.0017 (0.0132) time: 3.0937 data: 0.0061 max mem: 31630 Epoch: [14] [4160/5278] eta: 0:57:40 lr: 3.30032640490049e-05 loss: 0.0925 (0.1002) loss_seg: 0.0913 (0.0996) loss_lansim: 0.0377 (0.0481) loss_contra: 0.0018 (0.0132) time: 3.0815 data: 0.0061 max mem: 31630 Epoch: [14] [4170/5278] eta: 0:57:10 lr: 3.3001031861516183e-05 loss: 0.0925 (0.1002) loss_seg: 0.0913 (0.0996) loss_lansim: 0.0377 (0.0481) loss_contra: 0.0022 (0.0132) time: 3.0963 data: 0.0060 max mem: 31630 Epoch: [14] [4180/5278] eta: 0:56:39 lr: 3.299879965725123e-05 loss: 0.0956 (0.1003) loss_seg: 0.0933 (0.0997) loss_lansim: 0.0381 (0.0481) loss_contra: 0.0023 (0.0132) time: 3.0949 data: 0.0060 max mem: 31630 Epoch: [14] [4190/5278] eta: 0:56:08 lr: 3.299656743620865e-05 loss: 0.0985 (0.1003) loss_seg: 0.0982 (0.0997) loss_lansim: 0.0382 (0.0481) loss_contra: 0.0025 (0.0132) time: 3.0922 data: 0.0060 max mem: 31630 Epoch: [14] [4200/5278] eta: 0:55:37 lr: 3.2994335198387055e-05 loss: 0.1027 (0.1004) loss_seg: 0.1023 (0.0998) loss_lansim: 0.0384 (0.0480) loss_contra: 0.0025 (0.0132) time: 3.0950 data: 0.0060 max mem: 31630 Epoch: [14] [4210/5278] eta: 0:55:06 lr: 3.299210294378506e-05 loss: 0.1045 (0.1004) loss_seg: 0.1041 (0.0998) loss_lansim: 0.0381 (0.0480) loss_contra: 0.0027 (0.0132) time: 3.0962 data: 0.0061 max mem: 31630 Epoch: [14] [4220/5278] eta: 0:54:35 lr: 3.298987067240128e-05 loss: 0.1050 (0.1005) loss_seg: 0.1047 (0.0999) loss_lansim: 0.0381 (0.0480) loss_contra: 0.0028 (0.0132) time: 3.0890 data: 0.0060 max mem: 31630 Epoch: [14] [4230/5278] eta: 0:54:04 lr: 3.298763838423432e-05 loss: 0.1039 (0.1005) loss_seg: 0.1036 (0.0999) loss_lansim: 0.0385 (0.0480) loss_contra: 0.0028 (0.0132) time: 3.0906 data: 0.0060 max mem: 31630 Epoch: [14] [4240/5278] eta: 0:53:33 lr: 3.2985406079282806e-05 loss: 0.1039 (0.1005) loss_seg: 0.1036 (0.0999) loss_lansim: 0.0381 (0.0479) loss_contra: 0.0028 (0.0132) time: 3.0853 data: 0.0060 max mem: 31630 Epoch: [14] [4250/5278] eta: 0:53:02 lr: 3.298317375754534e-05 loss: 0.1027 (0.1005) loss_seg: 0.1023 (0.0999) loss_lansim: 0.0370 (0.0479) loss_contra: 0.0025 (0.0132) time: 3.0850 data: 0.0061 max mem: 31630 Epoch: [14] [4260/5278] eta: 0:52:31 lr: 3.298094141902052e-05 loss: 0.1018 (0.1004) loss_seg: 0.1013 (0.0998) loss_lansim: 0.0368 (0.0479) loss_contra: 0.0025 (0.0132) time: 3.0897 data: 0.0061 max mem: 31630 Epoch: [14] [4270/5278] eta: 0:52:00 lr: 3.297870906370698e-05 loss: 0.1006 (0.1005) loss_seg: 0.1003 (0.0998) loss_lansim: 0.0361 (0.0478) loss_contra: 0.0023 (0.0132) time: 3.0759 data: 0.0060 max mem: 31630 Epoch: [14] [4280/5278] eta: 0:51:29 lr: 3.297647669160332e-05 loss: 0.1018 (0.1005) loss_seg: 0.1013 (0.0999) loss_lansim: 0.0351 (0.0478) loss_contra: 0.0020 (0.0132) time: 3.0809 data: 0.0060 max mem: 31630 Epoch: [14] [4290/5278] eta: 0:50:58 lr: 3.2974244302708156e-05 loss: 0.1018 (0.1005) loss_seg: 0.1013 (0.0999) loss_lansim: 0.0340 (0.0478) loss_contra: 0.0021 (0.0132) time: 3.0800 data: 0.0060 max mem: 31630 Epoch: [14] [4300/5278] eta: 0:50:27 lr: 3.29720118970201e-05 loss: 0.1006 (0.1006) loss_seg: 0.1000 (0.0999) loss_lansim: 0.0340 (0.0477) loss_contra: 0.0017 (0.0133) time: 3.0766 data: 0.0060 max mem: 31630 Epoch: [14] [4310/5278] eta: 0:49:56 lr: 3.2969779474537754e-05 loss: 0.1006 (0.1006) loss_seg: 0.1000 (0.1000) loss_lansim: 0.0336 (0.0477) loss_contra: 0.0017 (0.0133) time: 3.0738 data: 0.0060 max mem: 31630 Epoch: [14] [4320/5278] eta: 0:49:25 lr: 3.2967547035259726e-05 loss: 0.0976 (0.1005) loss_seg: 0.0972 (0.0999) loss_lansim: 0.0338 (0.0477) loss_contra: 0.0017 (0.0133) time: 3.0691 data: 0.0060 max mem: 31630 Epoch: [14] [4330/5278] eta: 0:48:53 lr: 3.296531457918464e-05 loss: 0.0965 (0.1006) loss_seg: 0.0961 (0.0999) loss_lansim: 0.0336 (0.0476) loss_contra: 0.0016 (0.0133) time: 3.0612 data: 0.0061 max mem: 31630 Epoch: [14] [4340/5278] eta: 0:48:23 lr: 3.2963082106311085e-05 loss: 0.1000 (0.1006) loss_seg: 0.0996 (0.1000) loss_lansim: 0.0338 (0.0476) loss_contra: 0.0015 (0.0133) time: 3.0716 data: 0.0061 max mem: 31630 Epoch: [14] [4350/5278] eta: 0:47:52 lr: 3.2960849616637694e-05 loss: 0.0996 (0.1005) loss_seg: 0.0982 (0.0999) loss_lansim: 0.0340 (0.0476) loss_contra: 0.0017 (0.0133) time: 3.0677 data: 0.0061 max mem: 31630 Epoch: [14] [4360/5278] eta: 0:47:21 lr: 3.2958617110163065e-05 loss: 0.0996 (0.1005) loss_seg: 0.0982 (0.0999) loss_lansim: 0.0340 (0.0476) loss_contra: 0.0014 (0.0132) time: 3.0663 data: 0.0062 max mem: 31630 Epoch: [14] [4370/5278] eta: 0:46:49 lr: 3.29563845868858e-05 loss: 0.0998 (0.1006) loss_seg: 0.0992 (0.1000) loss_lansim: 0.0341 (0.0475) loss_contra: 0.0017 (0.0132) time: 3.0620 data: 0.0062 max mem: 31630 Epoch: [14] [4380/5278] eta: 0:46:19 lr: 3.2954152046804526e-05 loss: 0.0996 (0.1006) loss_seg: 0.0982 (0.1000) loss_lansim: 0.0342 (0.0475) loss_contra: 0.0021 (0.0132) time: 3.0629 data: 0.0062 max mem: 31630 Epoch: [14] [4390/5278] eta: 0:45:47 lr: 3.295191948991784e-05 loss: 0.0994 (0.1006) loss_seg: 0.0981 (0.1000) loss_lansim: 0.0342 (0.0475) loss_contra: 0.0018 (0.0132) time: 3.0608 data: 0.0063 max mem: 31630 Epoch: [14] [4400/5278] eta: 0:45:16 lr: 3.294968691622434e-05 loss: 0.0996 (0.1007) loss_seg: 0.0988 (0.1001) loss_lansim: 0.0344 (0.0475) loss_contra: 0.0018 (0.0132) time: 3.0541 data: 0.0063 max mem: 31630 Epoch: [14] [4410/5278] eta: 0:44:45 lr: 3.2947454325722654e-05 loss: 0.0996 (0.1007) loss_seg: 0.0988 (0.1001) loss_lansim: 0.0348 (0.0474) loss_contra: 0.0015 (0.0132) time: 3.0517 data: 0.0063 max mem: 31630 Epoch: [14] [4420/5278] eta: 0:44:14 lr: 3.2945221718411375e-05 loss: 0.1001 (0.1008) loss_seg: 0.0998 (0.1002) loss_lansim: 0.0344 (0.0474) loss_contra: 0.0013 (0.0132) time: 3.0603 data: 0.0062 max mem: 31630 Epoch: [14] [4430/5278] eta: 0:43:43 lr: 3.294298909428912e-05 loss: 0.1000 (0.1007) loss_seg: 0.0996 (0.1001) loss_lansim: 0.0348 (0.0474) loss_contra: 0.0014 (0.0132) time: 3.0551 data: 0.0061 max mem: 31630 Epoch: [14] [4440/5278] eta: 0:43:12 lr: 3.294075645335449e-05 loss: 0.0998 (0.1008) loss_seg: 0.0994 (0.1002) loss_lansim: 0.0344 (0.0474) loss_contra: 0.0014 (0.0131) time: 3.0528 data: 0.0061 max mem: 31630 Epoch: [14] [4450/5278] eta: 0:42:41 lr: 3.2938523795606093e-05 loss: 0.0986 (0.1007) loss_seg: 0.0982 (0.1001) loss_lansim: 0.0344 (0.0473) loss_contra: 0.0013 (0.0131) time: 3.0552 data: 0.0062 max mem: 31630 Epoch: [14] [4460/5278] eta: 0:42:10 lr: 3.2936291121042554e-05 loss: 0.1001 (0.1008) loss_seg: 0.0998 (0.1002) loss_lansim: 0.0345 (0.0473) loss_contra: 0.0014 (0.0131) time: 3.0566 data: 0.0060 max mem: 31630 Epoch: [14] [4470/5278] eta: 0:41:39 lr: 3.293405842966245e-05 loss: 0.0991 (0.1008) loss_seg: 0.0988 (0.1002) loss_lansim: 0.0344 (0.0473) loss_contra: 0.0012 (0.0131) time: 3.0570 data: 0.0060 max mem: 31630 Epoch: [14] [4480/5278] eta: 0:41:08 lr: 3.293182572146441e-05 loss: 0.0998 (0.1008) loss_seg: 0.0994 (0.1002) loss_lansim: 0.0344 (0.0472) loss_contra: 0.0012 (0.0131) time: 3.0507 data: 0.0060 max mem: 31630 Epoch: [14] [4490/5278] eta: 0:40:37 lr: 3.292959299644702e-05 loss: 0.0991 (0.1007) loss_seg: 0.0988 (0.1001) loss_lansim: 0.0339 (0.0472) loss_contra: 0.0012 (0.0130) time: 3.0507 data: 0.0059 max mem: 31630 Epoch: [14] [4500/5278] eta: 0:40:06 lr: 3.292736025460891e-05 loss: 0.0985 (0.1008) loss_seg: 0.0981 (0.1002) loss_lansim: 0.0339 (0.0472) loss_contra: 0.0012 (0.0130) time: 3.0571 data: 0.0059 max mem: 31630 Epoch: [14] [4510/5278] eta: 0:39:35 lr: 3.2925127495948675e-05 loss: 0.0985 (0.1008) loss_seg: 0.0981 (0.1002) loss_lansim: 0.0331 (0.0471) loss_contra: 0.0011 (0.0130) time: 3.0545 data: 0.0059 max mem: 31630 Epoch: [14] [4520/5278] eta: 0:39:04 lr: 3.292289472046492e-05 loss: 0.0929 (0.1008) loss_seg: 0.0926 (0.1002) loss_lansim: 0.0324 (0.0471) loss_contra: 0.0010 (0.0130) time: 3.0381 data: 0.0059 max mem: 31630 Epoch: [14] [4530/5278] eta: 0:38:33 lr: 3.2920661928156245e-05 loss: 0.0929 (0.1008) loss_seg: 0.0926 (0.1002) loss_lansim: 0.0320 (0.0471) loss_contra: 0.0009 (0.0130) time: 3.0502 data: 0.0059 max mem: 31630 Epoch: [14] [4540/5278] eta: 0:38:02 lr: 3.291842911902127e-05 loss: 0.0929 (0.1008) loss_seg: 0.0926 (0.1002) loss_lansim: 0.0317 (0.0470) loss_contra: 0.0009 (0.0129) time: 3.0467 data: 0.0059 max mem: 31630 Epoch: [14] [4550/5278] eta: 0:37:31 lr: 3.291619629305858e-05 loss: 0.0956 (0.1007) loss_seg: 0.0953 (0.1001) loss_lansim: 0.0315 (0.0470) loss_contra: 0.0008 (0.0129) time: 3.0360 data: 0.0059 max mem: 31630 Epoch: [14] [4560/5278] eta: 0:37:00 lr: 3.291396345026679e-05 loss: 0.0900 (0.1008) loss_seg: 0.0897 (0.1002) loss_lansim: 0.0317 (0.0470) loss_contra: 0.0007 (0.0129) time: 3.0197 data: 0.0059 max mem: 31630 Epoch: [14] [4570/5278] eta: 0:36:29 lr: 3.291173059064451e-05 loss: 0.0900 (0.1007) loss_seg: 0.0897 (0.1001) loss_lansim: 0.0314 (0.0469) loss_contra: 0.0006 (0.0129) time: 3.0326 data: 0.0059 max mem: 31630 Epoch: [14] [4580/5278] eta: 0:35:58 lr: 3.290949771419034e-05 loss: 0.0900 (0.1008) loss_seg: 0.0897 (0.1002) loss_lansim: 0.0314 (0.0469) loss_contra: 0.0006 (0.0129) time: 3.0270 data: 0.0059 max mem: 31630 Epoch: [14] [4590/5278] eta: 0:35:27 lr: 3.290726482090289e-05 loss: 0.0916 (0.1007) loss_seg: 0.0912 (0.1001) loss_lansim: 0.0307 (0.0469) loss_contra: 0.0007 (0.0128) time: 3.0230 data: 0.0059 max mem: 31630 Epoch: [14] [4600/5278] eta: 0:34:56 lr: 3.290503191078075e-05 loss: 0.0880 (0.1007) loss_seg: 0.0877 (0.1001) loss_lansim: 0.0306 (0.0468) loss_contra: 0.0005 (0.0128) time: 3.0197 data: 0.0060 max mem: 31630 Epoch: [14] [4610/5278] eta: 0:34:25 lr: 3.290279898382254e-05 loss: 0.0884 (0.1007) loss_seg: 0.0881 (0.1001) loss_lansim: 0.0306 (0.0468) loss_contra: 0.0006 (0.0128) time: 3.0265 data: 0.0060 max mem: 31630 Epoch: [14] [4620/5278] eta: 0:33:54 lr: 3.2900566040026855e-05 loss: 0.0877 (0.1007) loss_seg: 0.0874 (0.1001) loss_lansim: 0.0309 (0.0468) loss_contra: 0.0006 (0.0128) time: 3.0368 data: 0.0059 max mem: 31630 Epoch: [14] [4630/5278] eta: 0:33:23 lr: 3.289833307939228e-05 loss: 0.0873 (0.1007) loss_seg: 0.0869 (0.1001) loss_lansim: 0.0304 (0.0467) loss_contra: 0.0005 (0.0127) time: 3.0310 data: 0.0060 max mem: 31630 Epoch: [14] [4640/5278] eta: 0:32:52 lr: 3.289610010191746e-05 loss: 0.0854 (0.1006) loss_seg: 0.0850 (0.1000) loss_lansim: 0.0301 (0.0467) loss_contra: 0.0006 (0.0127) time: 3.0199 data: 0.0059 max mem: 31630 Epoch: [14] [4650/5278] eta: 0:32:21 lr: 3.289386710760097e-05 loss: 0.0872 (0.1006) loss_seg: 0.0869 (0.1000) loss_lansim: 0.0299 (0.0467) loss_contra: 0.0006 (0.0127) time: 3.0285 data: 0.0059 max mem: 31630 Epoch: [14] [4660/5278] eta: 0:31:50 lr: 3.289163409644141e-05 loss: 0.0873 (0.1006) loss_seg: 0.0869 (0.1001) loss_lansim: 0.0299 (0.0466) loss_contra: 0.0008 (0.0127) time: 3.0365 data: 0.0060 max mem: 31630 Epoch: [14] [4670/5278] eta: 0:31:19 lr: 3.288940106843739e-05 loss: 0.0877 (0.1006) loss_seg: 0.0874 (0.1000) loss_lansim: 0.0303 (0.0466) loss_contra: 0.0008 (0.0127) time: 3.0304 data: 0.0060 max mem: 31630 Epoch: [14] [4680/5278] eta: 0:30:48 lr: 3.2887168023587514e-05 loss: 0.0900 (0.1006) loss_seg: 0.0898 (0.1001) loss_lansim: 0.0301 (0.0466) loss_contra: 0.0009 (0.0127) time: 3.0213 data: 0.0060 max mem: 31630 Epoch: [14] [4690/5278] eta: 0:30:17 lr: 3.288493496189038e-05 loss: 0.0916 (0.1006) loss_seg: 0.0907 (0.1001) loss_lansim: 0.0305 (0.0465) loss_contra: 0.0010 (0.0127) time: 3.0309 data: 0.0060 max mem: 31630 Epoch: [14] [4700/5278] eta: 0:29:46 lr: 3.28827018833446e-05 loss: 0.0916 (0.1007) loss_seg: 0.0907 (0.1001) loss_lansim: 0.0310 (0.0465) loss_contra: 0.0013 (0.0127) time: 3.0336 data: 0.0060 max mem: 31630 Epoch: [14] [4710/5278] eta: 0:29:15 lr: 3.288046878794875e-05 loss: 0.0908 (0.1006) loss_seg: 0.0905 (0.1000) loss_lansim: 0.0308 (0.0465) loss_contra: 0.0011 (0.0127) time: 3.0248 data: 0.0060 max mem: 31630 Epoch: [14] [4720/5278] eta: 0:28:44 lr: 3.287823567570146e-05 loss: 0.0877 (0.1006) loss_seg: 0.0873 (0.1000) loss_lansim: 0.0305 (0.0464) loss_contra: 0.0013 (0.0127) time: 3.0182 data: 0.0061 max mem: 31630 Epoch: [14] [4730/5278] eta: 0:28:13 lr: 3.287600254660132e-05 loss: 0.0874 (0.1006) loss_seg: 0.0870 (0.1000) loss_lansim: 0.0308 (0.0464) loss_contra: 0.0016 (0.0127) time: 3.0154 data: 0.0061 max mem: 31630 Epoch: [14] [4740/5278] eta: 0:27:42 lr: 3.287376940064693e-05 loss: 0.0913 (0.1006) loss_seg: 0.0909 (0.1000) loss_lansim: 0.0308 (0.0464) loss_contra: 0.0018 (0.0128) time: 3.0302 data: 0.0062 max mem: 31630 Epoch: [14] [4750/5278] eta: 0:27:11 lr: 3.2871536237836894e-05 loss: 0.0916 (0.1006) loss_seg: 0.0910 (0.1000) loss_lansim: 0.0310 (0.0463) loss_contra: 0.0018 (0.0128) time: 3.0218 data: 0.0062 max mem: 31630 Epoch: [14] [4760/5278] eta: 0:26:40 lr: 3.286930305816979e-05 loss: 0.0879 (0.1006) loss_seg: 0.0873 (0.1000) loss_lansim: 0.0308 (0.0463) loss_contra: 0.0019 (0.0128) time: 3.0245 data: 0.0062 max mem: 31630 Epoch: [14] [4770/5278] eta: 0:26:09 lr: 3.286706986164426e-05 loss: 0.0877 (0.1006) loss_seg: 0.0871 (0.1000) loss_lansim: 0.0307 (0.0463) loss_contra: 0.0024 (0.0128) time: 3.0155 data: 0.0062 max mem: 31630 Epoch: [14] [4780/5278] eta: 0:25:38 lr: 3.2864836648258874e-05 loss: 0.0879 (0.1006) loss_seg: 0.0873 (0.1000) loss_lansim: 0.0308 (0.0463) loss_contra: 0.0027 (0.0128) time: 3.0255 data: 0.0062 max mem: 31630 Epoch: [14] [4790/5278] eta: 0:25:07 lr: 3.286260341801223e-05 loss: 0.0877 (0.1006) loss_seg: 0.0871 (0.1000) loss_lansim: 0.0310 (0.0462) loss_contra: 0.0030 (0.0128) time: 3.0196 data: 0.0062 max mem: 31630 Epoch: [14] [4800/5278] eta: 0:24:36 lr: 3.286037017090296e-05 loss: 0.0879 (0.1006) loss_seg: 0.0871 (0.1000) loss_lansim: 0.0310 (0.0462) loss_contra: 0.0028 (0.0128) time: 3.0217 data: 0.0062 max mem: 31630 Epoch: [14] [4810/5278] eta: 0:24:05 lr: 3.285813690692962e-05 loss: 0.0913 (0.1006) loss_seg: 0.0910 (0.1000) loss_lansim: 0.0311 (0.0462) loss_contra: 0.0028 (0.0129) time: 3.0171 data: 0.0062 max mem: 31630 Epoch: [14] [4820/5278] eta: 0:23:34 lr: 3.2855903626090833e-05 loss: 0.0985 (0.1006) loss_seg: 0.0981 (0.1000) loss_lansim: 0.0311 (0.0461) loss_contra: 0.0028 (0.0129) time: 3.0171 data: 0.0061 max mem: 31630 Epoch: [14] [4830/5278] eta: 0:23:03 lr: 3.28536703283852e-05 loss: 0.1002 (0.1006) loss_seg: 0.0997 (0.1000) loss_lansim: 0.0318 (0.0461) loss_contra: 0.0030 (0.0129) time: 3.0173 data: 0.0061 max mem: 31630 Epoch: [14] [4840/5278] eta: 0:22:32 lr: 3.2851437013811296e-05 loss: 0.0976 (0.1006) loss_seg: 0.0958 (0.1000) loss_lansim: 0.0321 (0.0461) loss_contra: 0.0036 (0.0128) time: 3.0171 data: 0.0060 max mem: 31630 Epoch: [14] [4850/5278] eta: 0:22:01 lr: 3.2849203682367756e-05 loss: 0.0964 (0.1006) loss_seg: 0.0958 (0.1000) loss_lansim: 0.0328 (0.0461) loss_contra: 0.0035 (0.0128) time: 3.0176 data: 0.0060 max mem: 31630 Epoch: [14] [4860/5278] eta: 0:21:30 lr: 3.284697033405315e-05 loss: 0.0997 (0.1006) loss_seg: 0.0993 (0.1000) loss_lansim: 0.0329 (0.0460) loss_contra: 0.0030 (0.0129) time: 3.0120 data: 0.0059 max mem: 31630 Epoch: [14] [4870/5278] eta: 0:20:59 lr: 3.284473696886609e-05 loss: 0.0985 (0.1006) loss_seg: 0.0961 (0.1000) loss_lansim: 0.0326 (0.0460) loss_contra: 0.0030 (0.0129) time: 3.0148 data: 0.0059 max mem: 31630 Epoch: [14] [4880/5278] eta: 0:20:29 lr: 3.284250358680517e-05 loss: 0.0945 (0.1006) loss_seg: 0.0941 (0.1000) loss_lansim: 0.0325 (0.0460) loss_contra: 0.0028 (0.0128) time: 3.0209 data: 0.0059 max mem: 31630 Epoch: [14] [4890/5278] eta: 0:19:58 lr: 3.284027018786898e-05 loss: 0.0952 (0.1007) loss_seg: 0.0947 (0.1001) loss_lansim: 0.0326 (0.0460) loss_contra: 0.0024 (0.0128) time: 3.0130 data: 0.0059 max mem: 31630 Epoch: [14] [4900/5278] eta: 0:19:27 lr: 3.283803677205613e-05 loss: 0.0952 (0.1007) loss_seg: 0.0947 (0.1001) loss_lansim: 0.0318 (0.0459) loss_contra: 0.0030 (0.0128) time: 3.0079 data: 0.0058 max mem: 31630 Epoch: [14] [4910/5278] eta: 0:18:56 lr: 3.283580333936521e-05 loss: 0.0899 (0.1006) loss_seg: 0.0894 (0.1001) loss_lansim: 0.0320 (0.0459) loss_contra: 0.0030 (0.0128) time: 3.0103 data: 0.0059 max mem: 31630 Epoch: [14] [4920/5278] eta: 0:18:25 lr: 3.2833569889794815e-05 loss: 0.0851 (0.1006) loss_seg: 0.0849 (0.1000) loss_lansim: 0.0317 (0.0459) loss_contra: 0.0025 (0.0128) time: 3.0112 data: 0.0059 max mem: 31630 Epoch: [14] [4930/5278] eta: 0:17:54 lr: 3.283133642334355e-05 loss: 0.0851 (0.1006) loss_seg: 0.0849 (0.1000) loss_lansim: 0.0315 (0.0458) loss_contra: 0.0024 (0.0128) time: 3.0206 data: 0.0059 max mem: 31630 Epoch: [14] [4940/5278] eta: 0:17:23 lr: 3.282910294001e-05 loss: 0.0889 (0.1006) loss_seg: 0.0884 (0.1000) loss_lansim: 0.0320 (0.0458) loss_contra: 0.0020 (0.0128) time: 3.0241 data: 0.0060 max mem: 31630 Epoch: [14] [4950/5278] eta: 0:16:52 lr: 3.2826869439792765e-05 loss: 0.0899 (0.1006) loss_seg: 0.0894 (0.1000) loss_lansim: 0.0314 (0.0458) loss_contra: 0.0016 (0.0127) time: 3.0253 data: 0.0060 max mem: 31630 Epoch: [14] [4960/5278] eta: 0:16:21 lr: 3.282463592269045e-05 loss: 0.0889 (0.1006) loss_seg: 0.0884 (0.1000) loss_lansim: 0.0314 (0.0458) loss_contra: 0.0014 (0.0127) time: 3.0416 data: 0.0060 max mem: 31630 Epoch: [14] [4970/5278] eta: 0:15:50 lr: 3.2822402388701635e-05 loss: 0.0899 (0.1006) loss_seg: 0.0894 (0.1000) loss_lansim: 0.0318 (0.0457) loss_contra: 0.0013 (0.0127) time: 3.0557 data: 0.0061 max mem: 31630 Epoch: [14] [4980/5278] eta: 0:15:20 lr: 3.2820168837824934e-05 loss: 0.0890 (0.1006) loss_seg: 0.0887 (0.1000) loss_lansim: 0.0321 (0.0457) loss_contra: 0.0009 (0.0127) time: 3.0528 data: 0.0061 max mem: 31630 Epoch: [14] [4990/5278] eta: 0:14:49 lr: 3.2817935270058924e-05 loss: 0.0892 (0.1006) loss_seg: 0.0888 (0.1000) loss_lansim: 0.0317 (0.0457) loss_contra: 0.0007 (0.0127) time: 3.0644 data: 0.0061 max mem: 31630 Epoch: [14] [5000/5278] eta: 0:14:18 lr: 3.281570168540221e-05 loss: 0.0878 (0.1005) loss_seg: 0.0875 (0.0999) loss_lansim: 0.0317 (0.0457) loss_contra: 0.0007 (0.0127) time: 3.0781 data: 0.0062 max mem: 31630 Epoch: [14] [5010/5278] eta: 0:13:47 lr: 3.2813468083853395e-05 loss: 0.0875 (0.1005) loss_seg: 0.0872 (0.0999) loss_lansim: 0.0318 (0.0456) loss_contra: 0.0007 (0.0127) time: 3.0860 data: 0.0062 max mem: 31630 Epoch: [14] [5020/5278] eta: 0:13:16 lr: 3.281123446541105e-05 loss: 0.0893 (0.1006) loss_seg: 0.0890 (0.1000) loss_lansim: 0.0318 (0.0456) loss_contra: 0.0008 (0.0127) time: 3.0987 data: 0.0062 max mem: 31630 Epoch: [14] [5030/5278] eta: 0:12:45 lr: 3.280900083007379e-05 loss: 0.0892 (0.1005) loss_seg: 0.0888 (0.0999) loss_lansim: 0.0317 (0.0456) loss_contra: 0.0008 (0.0127) time: 3.0994 data: 0.0062 max mem: 31630 Epoch: [14] [5040/5278] eta: 0:12:14 lr: 3.280676717784021e-05 loss: 0.0894 (0.1006) loss_seg: 0.0892 (0.1000) loss_lansim: 0.0315 (0.0456) loss_contra: 0.0007 (0.0126) time: 3.0988 data: 0.0062 max mem: 31630 Epoch: [14] [5050/5278] eta: 0:11:43 lr: 3.280453350870888e-05 loss: 0.0875 (0.1005) loss_seg: 0.0872 (0.1000) loss_lansim: 0.0315 (0.0455) loss_contra: 0.0009 (0.0128) time: 3.0989 data: 0.0062 max mem: 31630 Epoch: [14] [5060/5278] eta: 0:11:13 lr: 3.2802299822678426e-05 loss: 0.0879 (0.1005) loss_seg: 0.0876 (0.0999) loss_lansim: 0.0317 (0.0455) loss_contra: 0.0009 (0.0129) time: 3.0979 data: 0.0063 max mem: 31630 Epoch: [14] [5070/5278] eta: 0:10:42 lr: 3.280006611974742e-05 loss: 0.0875 (0.1005) loss_seg: 0.0866 (0.0999) loss_lansim: 0.0320 (0.0455) loss_contra: 0.0011 (0.0130) time: 3.0902 data: 0.0063 max mem: 31630 Epoch: [14] [5080/5278] eta: 0:10:11 lr: 3.279783239991446e-05 loss: 0.0893 (0.1005) loss_seg: 0.0889 (0.0999) loss_lansim: 0.0329 (0.0455) loss_contra: 0.0014 (0.0130) time: 3.0887 data: 0.0063 max mem: 31630 Epoch: [14] [5090/5278] eta: 0:09:40 lr: 3.279559866317814e-05 loss: 0.0861 (0.1005) loss_seg: 0.0849 (0.0999) loss_lansim: 0.0329 (0.0455) loss_contra: 0.0020 (0.0130) time: 3.0927 data: 0.0063 max mem: 31630 Epoch: [14] [5100/5278] eta: 0:09:09 lr: 3.279336490953706e-05 loss: 0.0863 (0.1005) loss_seg: 0.0858 (0.0999) loss_lansim: 0.0335 (0.0454) loss_contra: 0.0021 (0.0130) time: 3.0822 data: 0.0063 max mem: 31630 Epoch: [14] [5110/5278] eta: 0:08:38 lr: 3.2791131138989796e-05 loss: 0.0893 (0.1005) loss_seg: 0.0887 (0.0999) loss_lansim: 0.0330 (0.0454) loss_contra: 0.0017 (0.0130) time: 3.0873 data: 0.0062 max mem: 31630 Epoch: [14] [5120/5278] eta: 0:08:07 lr: 3.2788897351534955e-05 loss: 0.0837 (0.1004) loss_seg: 0.0834 (0.0999) loss_lansim: 0.0330 (0.0454) loss_contra: 0.0019 (0.0129) time: 3.0813 data: 0.0062 max mem: 31630 Epoch: [14] [5130/5278] eta: 0:07:36 lr: 3.2786663547171115e-05 loss: 0.0852 (0.1004) loss_seg: 0.0846 (0.0999) loss_lansim: 0.0335 (0.0454) loss_contra: 0.0016 (0.0129) time: 3.0794 data: 0.0062 max mem: 31630 Epoch: [14] [5140/5278] eta: 0:07:06 lr: 3.2784429725896885e-05 loss: 0.0809 (0.1004) loss_seg: 0.0805 (0.0998) loss_lansim: 0.0337 (0.0454) loss_contra: 0.0020 (0.0129) time: 3.0745 data: 0.0062 max mem: 31630 Epoch: [14] [5150/5278] eta: 0:06:35 lr: 3.2782195887710856e-05 loss: 0.0852 (0.1004) loss_seg: 0.0846 (0.0999) loss_lansim: 0.0340 (0.0453) loss_contra: 0.0019 (0.0129) time: 3.0773 data: 0.0061 max mem: 31630 Epoch: [14] [5160/5278] eta: 0:06:04 lr: 3.27799620326116e-05 loss: 0.0849 (0.1005) loss_seg: 0.0846 (0.0999) loss_lansim: 0.0337 (0.0453) loss_contra: 0.0016 (0.0129) time: 3.0655 data: 0.0061 max mem: 31630 Epoch: [14] [5170/5278] eta: 0:05:33 lr: 3.277772816059773e-05 loss: 0.0846 (0.1004) loss_seg: 0.0843 (0.0999) loss_lansim: 0.0331 (0.0453) loss_contra: 0.0013 (0.0129) time: 3.0655 data: 0.0061 max mem: 31630 Epoch: [14] [5180/5278] eta: 0:05:02 lr: 3.277549427166782e-05 loss: 0.0849 (0.1004) loss_seg: 0.0846 (0.0999) loss_lansim: 0.0330 (0.0453) loss_contra: 0.0015 (0.0129) time: 3.0570 data: 0.0060 max mem: 31630 Epoch: [14] [5190/5278] eta: 0:04:31 lr: 3.2773260365820476e-05 loss: 0.0842 (0.1004) loss_seg: 0.0839 (0.0998) loss_lansim: 0.0331 (0.0452) loss_contra: 0.0011 (0.0129) time: 3.0486 data: 0.0060 max mem: 31630 Epoch: [14] [5200/5278] eta: 0:04:00 lr: 3.2771026443054284e-05 loss: 0.0867 (0.1004) loss_seg: 0.0864 (0.0998) loss_lansim: 0.0332 (0.0452) loss_contra: 0.0011 (0.0129) time: 3.0487 data: 0.0060 max mem: 31630 Epoch: [14] [5210/5278] eta: 0:03:29 lr: 3.276879250336781e-05 loss: 0.0870 (0.1004) loss_seg: 0.0867 (0.0998) loss_lansim: 0.0337 (0.0452) loss_contra: 0.0012 (0.0128) time: 3.0348 data: 0.0060 max mem: 31630 Epoch: [14] [5220/5278] eta: 0:02:59 lr: 3.276655854675969e-05 loss: 0.0877 (0.1004) loss_seg: 0.0874 (0.0998) loss_lansim: 0.0340 (0.0452) loss_contra: 0.0010 (0.0128) time: 3.0345 data: 0.0060 max mem: 31630 Epoch: [14] [5230/5278] eta: 0:02:28 lr: 3.2764324573228476e-05 loss: 0.0880 (0.1004) loss_seg: 0.0876 (0.0998) loss_lansim: 0.0341 (0.0452) loss_contra: 0.0010 (0.0128) time: 3.0253 data: 0.0061 max mem: 31630 Epoch: [14] [5240/5278] eta: 0:01:57 lr: 3.276209058277278e-05 loss: 0.0890 (0.1004) loss_seg: 0.0885 (0.0998) loss_lansim: 0.0350 (0.0452) loss_contra: 0.0007 (0.0128) time: 3.0219 data: 0.0060 max mem: 31630 Epoch: [14] [5250/5278] eta: 0:01:26 lr: 3.275985657539118e-05 loss: 0.0890 (0.1004) loss_seg: 0.0885 (0.0998) loss_lansim: 0.0351 (0.0451) loss_contra: 0.0008 (0.0128) time: 3.0213 data: 0.0061 max mem: 31630 Epoch: [14] [5260/5278] eta: 0:00:55 lr: 3.275762255108226e-05 loss: 0.0893 (0.1004) loss_seg: 0.0887 (0.0998) loss_lansim: 0.0349 (0.0451) loss_contra: 0.0008 (0.0128) time: 3.0247 data: 0.0061 max mem: 31630 Epoch: [14] [5270/5278] eta: 0:00:24 lr: 3.2755388509844624e-05 loss: 0.0890 (0.1003) loss_seg: 0.0885 (0.0997) loss_lansim: 0.0341 (0.0451) loss_contra: 0.0008 (0.0127) time: 3.0194 data: 0.0062 max mem: 31630 Epoch: [14] Total time: 4:31:26 Test: [ 0/2573] eta: 0:56:37 time: 1.3204 data: 1.1647 max mem: 31630 Test: [ 100/2573] eta: 0:06:22 time: 0.1428 data: 0.0016 max mem: 31630 Test: [ 200/2573] eta: 0:05:57 time: 0.1471 data: 0.0017 max mem: 31630 Test: [ 300/2573] eta: 0:05:36 time: 0.1430 data: 0.0017 max mem: 31630 Test: [ 400/2573] eta: 0:05:18 time: 0.1423 data: 0.0016 max mem: 31630 Test: [ 500/2573] eta: 0:05:05 time: 0.1491 data: 0.0018 max mem: 31630 Test: [ 600/2573] eta: 0:04:50 time: 0.1471 data: 0.0017 max mem: 31630 Test: [ 700/2573] eta: 0:04:36 time: 0.1519 data: 0.0017 max mem: 31630 Test: [ 800/2573] eta: 0:04:22 time: 0.1491 data: 0.0018 max mem: 31630 Test: [ 900/2573] eta: 0:04:07 time: 0.1492 data: 0.0017 max mem: 31630 Test: [1000/2573] eta: 0:03:52 time: 0.1462 data: 0.0017 max mem: 31630 Test: [1100/2573] eta: 0:03:37 time: 0.1472 data: 0.0017 max mem: 31630 Test: [1200/2573] eta: 0:03:23 time: 0.1492 data: 0.0017 max mem: 31630 Test: [1300/2573] eta: 0:03:08 time: 0.1475 data: 0.0017 max mem: 31630 Test: [1400/2573] eta: 0:02:53 time: 0.1447 data: 0.0017 max mem: 31630 Test: [1500/2573] eta: 0:02:38 time: 0.1479 data: 0.0017 max mem: 31630 Test: [1600/2573] eta: 0:02:23 time: 0.1466 data: 0.0016 max mem: 31630 Test: [1700/2573] eta: 0:02:09 time: 0.1493 data: 0.0017 max mem: 31630 Test: [1800/2573] eta: 0:01:55 time: 0.1751 data: 0.0331 max mem: 31630 Test: [1900/2573] eta: 0:01:40 time: 0.1422 data: 0.0014 max mem: 31630 Test: [2000/2573] eta: 0:01:25 time: 0.1423 data: 0.0017 max mem: 31630 Test: [2100/2573] eta: 0:01:10 time: 0.1459 data: 0.0016 max mem: 31630 Test: [2200/2573] eta: 0:00:55 time: 0.1402 data: 0.0016 max mem: 31630 Test: [2300/2573] eta: 0:00:40 time: 0.1477 data: 0.0017 max mem: 31630 Test: [2400/2573] eta: 0:00:25 time: 0.1447 data: 0.0016 max mem: 31630 Test: [2500/2573] eta: 0:00:10 time: 0.1479 data: 0.0017 max mem: 31630 Test: Total time: 0:06:20 Final results: precision@0.5 = 62.44 precision@0.6 = 57.37 precision@0.7 = 48.90 precision@0.8 = 37.11 precision@0.9 = 16.73 overall IoU = 55.79 mean IoU = 55.19 Better epoch: 14 The best_performance is 55.794512827730316 Epoch: [15] [ 0/5278] eta: 7:08:50 lr: 3.275360126466489e-05 loss: 0.0547 (0.0547) loss_seg: 0.0544 (0.0544) loss_lansim: 0.0343 (0.0343) loss_contra: 0.0001 (0.0001) time: 4.8751 data: 1.7647 max mem: 31630 Epoch: [15] [ 10/5278] eta: 4:33:13 lr: 3.2751367192951994e-05 loss: 0.0885 (0.0862) loss_seg: 0.0881 (0.0859) loss_lansim: 0.0308 (0.0302) loss_contra: 0.0005 (0.0016) time: 3.1119 data: 0.1650 max mem: 31630 Epoch: [15] [ 20/5278] eta: 4:30:28 lr: 3.274913310430642e-05 loss: 0.0819 (0.0878) loss_seg: 0.0817 (0.0875) loss_lansim: 0.0306 (0.0303) loss_contra: 0.0005 (0.0018) time: 3.0865 data: 0.0888 max mem: 31630 Epoch: [15] [ 30/5278] eta: 4:27:04 lr: 3.2746898998726774e-05 loss: 0.0809 (0.0850) loss_seg: 0.0806 (0.0847) loss_lansim: 0.0306 (0.0300) loss_contra: 0.0006 (0.0017) time: 3.0535 data: 0.0623 max mem: 31630 Epoch: [15] [ 40/5278] eta: 4:24:32 lr: 3.274466487621161e-05 loss: 0.0802 (0.0903) loss_seg: 0.0799 (0.0900) loss_lansim: 0.0307 (0.0304) loss_contra: 0.0006 (0.0024) time: 3.0303 data: 0.0485 max mem: 31630 Epoch: [15] [ 50/5278] eta: 4:23:47 lr: 3.274243073675955e-05 loss: 0.0819 (0.0906) loss_seg: 0.0817 (0.0903) loss_lansim: 0.0312 (0.0313) loss_contra: 0.0006 (0.0041) time: 3.0274 data: 0.0401 max mem: 31630 Epoch: [15] [ 60/5278] eta: 4:22:35 lr: 3.274019658036916e-05 loss: 0.0819 (0.0891) loss_seg: 0.0817 (0.0888) loss_lansim: 0.0313 (0.0313) loss_contra: 0.0006 (0.0043) time: 3.0194 data: 0.0345 max mem: 31630 Epoch: [15] [ 70/5278] eta: 4:21:31 lr: 3.273796240703903e-05 loss: 0.0803 (0.0881) loss_seg: 0.0799 (0.0877) loss_lansim: 0.0314 (0.0318) loss_contra: 0.0006 (0.0041) time: 3.0129 data: 0.0305 max mem: 31630 Epoch: [15] [ 80/5278] eta: 4:20:38 lr: 3.273572821676776e-05 loss: 0.0802 (0.0863) loss_seg: 0.0799 (0.0860) loss_lansim: 0.0315 (0.0323) loss_contra: 0.0006 (0.0042) time: 3.0086 data: 0.0275 max mem: 31630 Epoch: [15] [ 90/5278] eta: 4:19:44 lr: 3.2733494009553926e-05 loss: 0.0820 (0.0929) loss_seg: 0.0817 (0.0925) loss_lansim: 0.0316 (0.0325) loss_contra: 0.0006 (0.0041) time: 3.0040 data: 0.0252 max mem: 31630 Epoch: [15] [ 100/5278] eta: 4:19:16 lr: 3.273125978539611e-05 loss: 0.0840 (0.0927) loss_seg: 0.0837 (0.0923) loss_lansim: 0.0318 (0.0330) loss_contra: 0.0007 (0.0042) time: 2.9857 data: 0.0059 max mem: 31630 Epoch: [15] [ 110/5278] eta: 4:18:07 lr: 3.2729025544292916e-05 loss: 0.0819 (0.0926) loss_seg: 0.0817 (0.0923) loss_lansim: 0.0323 (0.0332) loss_contra: 0.0007 (0.0041) time: 2.9842 data: 0.0061 max mem: 31630 Epoch: [15] [ 120/5278] eta: 4:17:40 lr: 3.272679128624291e-05 loss: 0.0788 (0.0905) loss_seg: 0.0783 (0.0901) loss_lansim: 0.0325 (0.0336) loss_contra: 0.0010 (0.0041) time: 2.9787 data: 0.0063 max mem: 31630 Epoch: [15] [ 130/5278] eta: 4:17:13 lr: 3.272455701124469e-05 loss: 0.0797 (0.0912) loss_seg: 0.0793 (0.0908) loss_lansim: 0.0346 (0.0343) loss_contra: 0.0010 (0.0040) time: 2.9807 data: 0.0062 max mem: 31630 Epoch: [15] [ 140/5278] eta: 4:16:25 lr: 3.272232271929683e-05 loss: 0.0817 (0.0910) loss_seg: 0.0812 (0.0906) loss_lansim: 0.0356 (0.0348) loss_contra: 0.0011 (0.0038) time: 2.9796 data: 0.0063 max mem: 31630 Epoch: [15] [ 150/5278] eta: 4:16:05 lr: 3.272008841039794e-05 loss: 0.0788 (0.0897) loss_seg: 0.0783 (0.0893) loss_lansim: 0.0356 (0.0350) loss_contra: 0.0010 (0.0037) time: 2.9804 data: 0.0063 max mem: 31630 Epoch: [15] [ 160/5278] eta: 4:15:40 lr: 3.271785408454658e-05 loss: 0.0788 (0.0907) loss_seg: 0.0783 (0.0903) loss_lansim: 0.0368 (0.0354) loss_contra: 0.0009 (0.0036) time: 2.9839 data: 0.0064 max mem: 31630 Epoch: [15] [ 170/5278] eta: 4:15:02 lr: 3.2715619741741345e-05 loss: 0.0788 (0.0923) loss_seg: 0.0783 (0.0919) loss_lansim: 0.0369 (0.0357) loss_contra: 0.0012 (0.0042) time: 2.9835 data: 0.0064 max mem: 31630 Epoch: [15] [ 180/5278] eta: 4:14:26 lr: 3.2713385381980814e-05 loss: 0.0816 (0.0930) loss_seg: 0.0812 (0.0926) loss_lansim: 0.0374 (0.0360) loss_contra: 0.0013 (0.0042) time: 2.9834 data: 0.0064 max mem: 31630 Epoch: [15] [ 190/5278] eta: 4:14:00 lr: 3.2711151005263583e-05 loss: 0.0750 (0.0935) loss_seg: 0.0745 (0.0931) loss_lansim: 0.0390 (0.0363) loss_contra: 0.0013 (0.0044) time: 2.9874 data: 0.0065 max mem: 31630 Epoch: [15] [ 200/5278] eta: 4:13:33 lr: 3.2708916611588225e-05 loss: 0.0750 (0.0935) loss_seg: 0.0745 (0.0931) loss_lansim: 0.0388 (0.0363) loss_contra: 0.0012 (0.0043) time: 2.9874 data: 0.0065 max mem: 31630 Epoch: [15] [ 210/5278] eta: 4:12:59 lr: 3.2706682200953336e-05 loss: 0.0750 (0.0932) loss_seg: 0.0745 (0.0928) loss_lansim: 0.0390 (0.0364) loss_contra: 0.0014 (0.0047) time: 2.9934 data: 0.0064 max mem: 31630 Epoch: [15] [ 220/5278] eta: 4:12:33 lr: 3.2704447773357486e-05 loss: 0.0810 (0.0941) loss_seg: 0.0806 (0.0937) loss_lansim: 0.0388 (0.0364) loss_contra: 0.0011 (0.0051) time: 2.9940 data: 0.0064 max mem: 31630 Epoch: [15] [ 230/5278] eta: 4:12:02 lr: 3.2702213328799266e-05 loss: 0.0816 (0.0939) loss_seg: 0.0813 (0.0935) loss_lansim: 0.0388 (0.0366) loss_contra: 0.0011 (0.0052) time: 2.9928 data: 0.0064 max mem: 31630 Epoch: [15] [ 240/5278] eta: 4:11:31 lr: 3.269997886727727e-05 loss: 0.0810 (0.0933) loss_seg: 0.0806 (0.0929) loss_lansim: 0.0388 (0.0368) loss_contra: 0.0011 (0.0051) time: 2.9973 data: 0.0064 max mem: 31630 Epoch: [15] [ 250/5278] eta: 4:11:11 lr: 3.269774438879006e-05 loss: 0.0828 (0.0928) loss_seg: 0.0824 (0.0923) loss_lansim: 0.0392 (0.0370) loss_contra: 0.0011 (0.0051) time: 2.9996 data: 0.0064 max mem: 31630 Epoch: [15] [ 260/5278] eta: 4:10:43 lr: 3.269550989333624e-05 loss: 0.0784 (0.0924) loss_seg: 0.0779 (0.0920) loss_lansim: 0.0393 (0.0372) loss_contra: 0.0012 (0.0050) time: 2.9987 data: 0.0065 max mem: 31630 Epoch: [15] [ 270/5278] eta: 4:10:04 lr: 3.269327538091437e-05 loss: 0.0784 (0.0924) loss_seg: 0.0779 (0.0919) loss_lansim: 0.0403 (0.0375) loss_contra: 0.0010 (0.0053) time: 2.9970 data: 0.0065 max mem: 31630 Epoch: [15] [ 280/5278] eta: 4:09:28 lr: 3.269104085152304e-05 loss: 0.0784 (0.0921) loss_seg: 0.0779 (0.0917) loss_lansim: 0.0396 (0.0377) loss_contra: 0.0010 (0.0052) time: 2.9953 data: 0.0065 max mem: 31630 Epoch: [15] [ 290/5278] eta: 4:08:58 lr: 3.268880630516085e-05 loss: 0.0809 (0.0918) loss_seg: 0.0806 (0.0913) loss_lansim: 0.0403 (0.0379) loss_contra: 0.0010 (0.0053) time: 2.9941 data: 0.0064 max mem: 31630 Epoch: [15] [ 300/5278] eta: 4:08:26 lr: 3.268657174182637e-05 loss: 0.0789 (0.0911) loss_seg: 0.0785 (0.0907) loss_lansim: 0.0408 (0.0382) loss_contra: 0.0010 (0.0052) time: 2.9915 data: 0.0063 max mem: 31630 Epoch: [15] [ 310/5278] eta: 4:08:02 lr: 3.268433716151817e-05 loss: 0.0801 (0.0910) loss_seg: 0.0797 (0.0906) loss_lansim: 0.0419 (0.0385) loss_contra: 0.0010 (0.0051) time: 2.9968 data: 0.0063 max mem: 31630 Epoch: [15] [ 320/5278] eta: 4:07:29 lr: 3.268210256423485e-05 loss: 0.0778 (0.0907) loss_seg: 0.0770 (0.0902) loss_lansim: 0.0423 (0.0387) loss_contra: 0.0010 (0.0053) time: 2.9931 data: 0.0062 max mem: 31630 Epoch: [15] [ 330/5278] eta: 4:06:57 lr: 3.267986794997498e-05 loss: 0.0762 (0.0904) loss_seg: 0.0756 (0.0900) loss_lansim: 0.0422 (0.0388) loss_contra: 0.0010 (0.0052) time: 2.9920 data: 0.0061 max mem: 31630 Epoch: [15] [ 340/5278] eta: 4:06:31 lr: 3.267763331873715e-05 loss: 0.0761 (0.0901) loss_seg: 0.0751 (0.0897) loss_lansim: 0.0439 (0.0390) loss_contra: 0.0010 (0.0052) time: 2.9951 data: 0.0062 max mem: 31630 Epoch: [15] [ 350/5278] eta: 4:06:00 lr: 3.267539867051994e-05 loss: 0.0762 (0.0899) loss_seg: 0.0756 (0.0894) loss_lansim: 0.0446 (0.0392) loss_contra: 0.0009 (0.0052) time: 2.9891 data: 0.0062 max mem: 31630 Epoch: [15] [ 360/5278] eta: 4:05:27 lr: 3.267316400532191e-05 loss: 0.0762 (0.0896) loss_seg: 0.0756 (0.0892) loss_lansim: 0.0453 (0.0394) loss_contra: 0.0008 (0.0051) time: 2.9864 data: 0.0060 max mem: 31630 Epoch: [15] [ 370/5278] eta: 4:04:54 lr: 3.267092932314167e-05 loss: 0.0778 (0.0895) loss_seg: 0.0770 (0.0890) loss_lansim: 0.0453 (0.0396) loss_contra: 0.0008 (0.0056) time: 2.9883 data: 0.0060 max mem: 31630 Epoch: [15] [ 380/5278] eta: 4:04:19 lr: 3.266869462397778e-05 loss: 0.0764 (0.0899) loss_seg: 0.0759 (0.0895) loss_lansim: 0.0455 (0.0398) loss_contra: 0.0008 (0.0056) time: 2.9878 data: 0.0060 max mem: 31630 Epoch: [15] [ 390/5278] eta: 4:03:46 lr: 3.2666459907828836e-05 loss: 0.0755 (0.0897) loss_seg: 0.0750 (0.0893) loss_lansim: 0.0453 (0.0400) loss_contra: 0.0009 (0.0057) time: 2.9849 data: 0.0060 max mem: 31630 Epoch: [15] [ 400/5278] eta: 4:03:15 lr: 3.2664225174693417e-05 loss: 0.0764 (0.0900) loss_seg: 0.0759 (0.0895) loss_lansim: 0.0466 (0.0402) loss_contra: 0.0011 (0.0057) time: 2.9848 data: 0.0060 max mem: 31630 Epoch: [15] [ 410/5278] eta: 4:02:47 lr: 3.266199042457008e-05 loss: 0.0791 (0.0902) loss_seg: 0.0784 (0.0897) loss_lansim: 0.0468 (0.0406) loss_contra: 0.0013 (0.0057) time: 2.9824 data: 0.0060 max mem: 31630 Epoch: [15] [ 420/5278] eta: 4:02:19 lr: 3.2659755657457425e-05 loss: 0.0794 (0.0900) loss_seg: 0.0789 (0.0896) loss_lansim: 0.0466 (0.0406) loss_contra: 0.0017 (0.0057) time: 2.9865 data: 0.0061 max mem: 31630 Epoch: [15] [ 430/5278] eta: 4:01:50 lr: 3.265752087335403e-05 loss: 0.0798 (0.0901) loss_seg: 0.0794 (0.0896) loss_lansim: 0.0466 (0.0406) loss_contra: 0.0017 (0.0058) time: 2.9878 data: 0.0061 max mem: 31630 Epoch: [15] [ 440/5278] eta: 4:01:19 lr: 3.265528607225846e-05 loss: 0.0796 (0.0898) loss_seg: 0.0789 (0.0893) loss_lansim: 0.0441 (0.0405) loss_contra: 0.0017 (0.0058) time: 2.9839 data: 0.0060 max mem: 31630 Epoch: [15] [ 450/5278] eta: 4:00:59 lr: 3.265305125416931e-05 loss: 0.0805 (0.0896) loss_seg: 0.0800 (0.0891) loss_lansim: 0.0432 (0.0405) loss_contra: 0.0017 (0.0057) time: 2.9941 data: 0.0060 max mem: 31630 Epoch: [15] [ 460/5278] eta: 4:00:31 lr: 3.265081641908515e-05 loss: 0.0809 (0.0894) loss_seg: 0.0806 (0.0889) loss_lansim: 0.0427 (0.0403) loss_contra: 0.0018 (0.0057) time: 2.9977 data: 0.0060 max mem: 31630 Epoch: [15] [ 470/5278] eta: 3:59:55 lr: 3.264858156700455e-05 loss: 0.0805 (0.0894) loss_seg: 0.0800 (0.0889) loss_lansim: 0.0419 (0.0403) loss_contra: 0.0017 (0.0056) time: 2.9940 data: 0.0060 max mem: 31630 Epoch: [15] [ 480/5278] eta: 3:59:26 lr: 3.264634669792611e-05 loss: 0.0796 (0.0894) loss_seg: 0.0789 (0.0889) loss_lansim: 0.0399 (0.0402) loss_contra: 0.0017 (0.0056) time: 2.9992 data: 0.0060 max mem: 31630 Epoch: [15] [ 490/5278] eta: 3:59:19 lr: 3.2644111811848396e-05 loss: 0.0793 (0.0891) loss_seg: 0.0787 (0.0887) loss_lansim: 0.0391 (0.0401) loss_contra: 0.0016 (0.0055) time: 3.0256 data: 0.0060 max mem: 31630 Epoch: [15] [ 500/5278] eta: 3:58:46 lr: 3.2641876908769985e-05 loss: 0.0793 (0.0894) loss_seg: 0.0789 (0.0890) loss_lansim: 0.0370 (0.0400) loss_contra: 0.0016 (0.0055) time: 3.0242 data: 0.0060 max mem: 31630 Epoch: [15] [ 510/5278] eta: 3:58:11 lr: 3.2639641988689454e-05 loss: 0.0780 (0.0894) loss_seg: 0.0777 (0.0890) loss_lansim: 0.0363 (0.0399) loss_contra: 0.0012 (0.0055) time: 3.0177 data: 0.0060 max mem: 31630 Epoch: [15] [ 520/5278] eta: 3:57:45 lr: 3.263740705160538e-05 loss: 0.0789 (0.0894) loss_seg: 0.0785 (0.0890) loss_lansim: 0.0360 (0.0399) loss_contra: 0.0010 (0.0055) time: 3.0202 data: 0.0060 max mem: 31630 Epoch: [15] [ 530/5278] eta: 3:57:13 lr: 3.263517209751634e-05 loss: 0.0766 (0.0890) loss_seg: 0.0762 (0.0885) loss_lansim: 0.0356 (0.0398) loss_contra: 0.0011 (0.0062) time: 3.0180 data: 0.0060 max mem: 31630 Epoch: [15] [ 540/5278] eta: 3:56:43 lr: 3.263293712642091e-05 loss: 0.0769 (0.0889) loss_seg: 0.0766 (0.0884) loss_lansim: 0.0360 (0.0397) loss_contra: 0.0013 (0.0066) time: 3.0196 data: 0.0059 max mem: 31630 Epoch: [15] [ 550/5278] eta: 3:56:12 lr: 3.263070213831767e-05 loss: 0.0753 (0.0887) loss_seg: 0.0745 (0.0882) loss_lansim: 0.0356 (0.0397) loss_contra: 0.0015 (0.0069) time: 3.0098 data: 0.0059 max mem: 31630 Epoch: [15] [ 560/5278] eta: 3:55:40 lr: 3.262846713320519e-05 loss: 0.0753 (0.0885) loss_seg: 0.0745 (0.0881) loss_lansim: 0.0356 (0.0396) loss_contra: 0.0015 (0.0069) time: 3.0060 data: 0.0059 max mem: 31630 Epoch: [15] [ 570/5278] eta: 3:55:14 lr: 3.262623211108205e-05 loss: 0.0776 (0.0884) loss_seg: 0.0771 (0.0880) loss_lansim: 0.0352 (0.0396) loss_contra: 0.0015 (0.0069) time: 3.0161 data: 0.0059 max mem: 31630 Epoch: [15] [ 580/5278] eta: 3:54:43 lr: 3.262399707194684e-05 loss: 0.0776 (0.0883) loss_seg: 0.0771 (0.0878) loss_lansim: 0.0351 (0.0394) loss_contra: 0.0015 (0.0069) time: 3.0146 data: 0.0059 max mem: 31630 Epoch: [15] [ 590/5278] eta: 3:54:15 lr: 3.262176201579811e-05 loss: 0.0780 (0.0882) loss_seg: 0.0777 (0.0877) loss_lansim: 0.0351 (0.0394) loss_contra: 0.0020 (0.0069) time: 2.9930 data: 0.0059 max mem: 31630 Epoch: [15] [ 600/5278] eta: 3:53:42 lr: 3.261952694263444e-05 loss: 0.0757 (0.0883) loss_seg: 0.0753 (0.0878) loss_lansim: 0.0349 (0.0394) loss_contra: 0.0020 (0.0070) time: 2.9931 data: 0.0059 max mem: 31630 Epoch: [15] [ 610/5278] eta: 3:53:11 lr: 3.2617291852454425e-05 loss: 0.0749 (0.0880) loss_seg: 0.0745 (0.0876) loss_lansim: 0.0350 (0.0393) loss_contra: 0.0020 (0.0069) time: 2.9966 data: 0.0059 max mem: 31630 Epoch: [15] [ 620/5278] eta: 3:52:42 lr: 3.261505674525661e-05 loss: 0.0742 (0.0880) loss_seg: 0.0737 (0.0876) loss_lansim: 0.0351 (0.0393) loss_contra: 0.0021 (0.0068) time: 2.9942 data: 0.0059 max mem: 31630 Epoch: [15] [ 630/5278] eta: 3:52:15 lr: 3.2612821621039595e-05 loss: 0.0757 (0.0878) loss_seg: 0.0753 (0.0874) loss_lansim: 0.0350 (0.0392) loss_contra: 0.0015 (0.0068) time: 3.0002 data: 0.0058 max mem: 31630 Epoch: [15] [ 640/5278] eta: 3:51:39 lr: 3.2610586479801946e-05 loss: 0.0757 (0.0877) loss_seg: 0.0753 (0.0872) loss_lansim: 0.0347 (0.0391) loss_contra: 0.0012 (0.0069) time: 2.9924 data: 0.0058 max mem: 31630 Epoch: [15] [ 650/5278] eta: 3:51:08 lr: 3.2608351321542235e-05 loss: 0.0747 (0.0875) loss_seg: 0.0744 (0.0870) loss_lansim: 0.0344 (0.0390) loss_contra: 0.0009 (0.0068) time: 2.9916 data: 0.0059 max mem: 31630 Epoch: [15] [ 660/5278] eta: 3:50:39 lr: 3.260611614625904e-05 loss: 0.0749 (0.0875) loss_seg: 0.0745 (0.0871) loss_lansim: 0.0347 (0.0390) loss_contra: 0.0009 (0.0071) time: 2.9955 data: 0.0060 max mem: 31630 Epoch: [15] [ 670/5278] eta: 3:50:07 lr: 3.2603880953950935e-05 loss: 0.0747 (0.0879) loss_seg: 0.0744 (0.0874) loss_lansim: 0.0347 (0.0390) loss_contra: 0.0009 (0.0071) time: 2.9874 data: 0.0060 max mem: 31630 Epoch: [15] [ 680/5278] eta: 3:49:31 lr: 3.2601645744616485e-05 loss: 0.0789 (0.0880) loss_seg: 0.0785 (0.0876) loss_lansim: 0.0350 (0.0389) loss_contra: 0.0009 (0.0070) time: 2.9799 data: 0.0060 max mem: 31630 Epoch: [15] [ 690/5278] eta: 3:49:00 lr: 3.259941051825427e-05 loss: 0.0788 (0.0879) loss_seg: 0.0785 (0.0874) loss_lansim: 0.0350 (0.0389) loss_contra: 0.0009 (0.0078) time: 2.9766 data: 0.0060 max mem: 31630 Epoch: [15] [ 700/5278] eta: 3:48:29 lr: 3.2597175274862854e-05 loss: 0.0731 (0.0875) loss_seg: 0.0725 (0.0871) loss_lansim: 0.0351 (0.0389) loss_contra: 0.0013 (0.0079) time: 2.9768 data: 0.0059 max mem: 31630 Epoch: [15] [ 710/5278] eta: 3:47:53 lr: 3.2594940014440826e-05 loss: 0.0756 (0.0877) loss_seg: 0.0752 (0.0872) loss_lansim: 0.0350 (0.0388) loss_contra: 0.0014 (0.0080) time: 2.9685 data: 0.0059 max mem: 31630 Epoch: [15] [ 720/5278] eta: 3:47:24 lr: 3.2592704736986753e-05 loss: 0.0739 (0.0875) loss_seg: 0.0735 (0.0871) loss_lansim: 0.0347 (0.0388) loss_contra: 0.0015 (0.0082) time: 2.9682 data: 0.0059 max mem: 31630 Epoch: [15] [ 730/5278] eta: 3:46:52 lr: 3.2590469442499194e-05 loss: 0.0730 (0.0873) loss_seg: 0.0726 (0.0868) loss_lansim: 0.0347 (0.0387) loss_contra: 0.0017 (0.0082) time: 2.9608 data: 0.0059 max mem: 31630 Epoch: [15] [ 740/5278] eta: 3:46:19 lr: 3.258823413097674e-05 loss: 0.0729 (0.0872) loss_seg: 0.0725 (0.0868) loss_lansim: 0.0351 (0.0387) loss_contra: 0.0019 (0.0081) time: 2.9637 data: 0.0059 max mem: 31630 Epoch: [15] [ 750/5278] eta: 3:45:48 lr: 3.258599880241795e-05 loss: 0.0739 (0.0871) loss_seg: 0.0735 (0.0866) loss_lansim: 0.0351 (0.0386) loss_contra: 0.0020 (0.0080) time: 2.9626 data: 0.0058 max mem: 31630 Epoch: [15] [ 760/5278] eta: 3:45:12 lr: 3.2583763456821406e-05 loss: 0.0715 (0.0869) loss_seg: 0.0710 (0.0864) loss_lansim: 0.0343 (0.0386) loss_contra: 0.0025 (0.0080) time: 2.9507 data: 0.0057 max mem: 31630 Epoch: [15] [ 770/5278] eta: 3:44:36 lr: 3.258152809418566e-05 loss: 0.0704 (0.0868) loss_seg: 0.0700 (0.0863) loss_lansim: 0.0339 (0.0385) loss_contra: 0.0020 (0.0079) time: 2.9431 data: 0.0057 max mem: 31630 Epoch: [15] [ 780/5278] eta: 3:44:04 lr: 3.257929271450931e-05 loss: 0.0695 (0.0869) loss_seg: 0.0692 (0.0864) loss_lansim: 0.0339 (0.0385) loss_contra: 0.0020 (0.0079) time: 2.9468 data: 0.0057 max mem: 31630 Epoch: [15] [ 790/5278] eta: 3:43:39 lr: 3.257705731779092e-05 loss: 0.0695 (0.0867) loss_seg: 0.0692 (0.0863) loss_lansim: 0.0337 (0.0385) loss_contra: 0.0016 (0.0078) time: 2.9561 data: 0.0057 max mem: 31630 Epoch: [15] [ 800/5278] eta: 3:43:05 lr: 3.257482190402904e-05 loss: 0.0710 (0.0868) loss_seg: 0.0706 (0.0863) loss_lansim: 0.0339 (0.0384) loss_contra: 0.0013 (0.0077) time: 2.9513 data: 0.0057 max mem: 31630 Epoch: [15] [ 810/5278] eta: 3:42:34 lr: 3.257258647322225e-05 loss: 0.0715 (0.0869) loss_seg: 0.0711 (0.0865) loss_lansim: 0.0344 (0.0384) loss_contra: 0.0010 (0.0077) time: 2.9575 data: 0.0057 max mem: 31630 Epoch: [15] [ 820/5278] eta: 3:42:05 lr: 3.257035102536914e-05 loss: 0.0744 (0.0875) loss_seg: 0.0740 (0.0871) loss_lansim: 0.0344 (0.0384) loss_contra: 0.0010 (0.0076) time: 2.9570 data: 0.0057 max mem: 31630 Epoch: [15] [ 830/5278] eta: 3:41:35 lr: 3.256811556046825e-05 loss: 0.0757 (0.0875) loss_seg: 0.0753 (0.0871) loss_lansim: 0.0351 (0.0385) loss_contra: 0.0009 (0.0075) time: 2.9603 data: 0.0058 max mem: 31630 Epoch: [15] [ 840/5278] eta: 3:41:00 lr: 3.256588007851818e-05 loss: 0.0757 (0.0874) loss_seg: 0.0753 (0.0870) loss_lansim: 0.0361 (0.0385) loss_contra: 0.0008 (0.0075) time: 2.9540 data: 0.0057 max mem: 31630 Epoch: [15] [ 850/5278] eta: 3:40:26 lr: 3.2563644579517474e-05 loss: 0.0788 (0.0878) loss_seg: 0.0784 (0.0874) loss_lansim: 0.0366 (0.0385) loss_contra: 0.0008 (0.0074) time: 2.9489 data: 0.0057 max mem: 31630 Epoch: [15] [ 860/5278] eta: 3:39:55 lr: 3.256140906346471e-05 loss: 0.0809 (0.0879) loss_seg: 0.0805 (0.0874) loss_lansim: 0.0371 (0.0385) loss_contra: 0.0008 (0.0074) time: 2.9547 data: 0.0057 max mem: 31630 Epoch: [15] [ 870/5278] eta: 3:39:26 lr: 3.255917353035847e-05 loss: 0.0819 (0.0879) loss_seg: 0.0815 (0.0874) loss_lansim: 0.0376 (0.0386) loss_contra: 0.0008 (0.0076) time: 2.9678 data: 0.0057 max mem: 31630 Epoch: [15] [ 880/5278] eta: 3:38:53 lr: 3.25569379801973e-05 loss: 0.0818 (0.0881) loss_seg: 0.0813 (0.0876) loss_lansim: 0.0389 (0.0386) loss_contra: 0.0008 (0.0075) time: 2.9651 data: 0.0057 max mem: 31630 Epoch: [15] [ 890/5278] eta: 3:38:18 lr: 3.2554702412979784e-05 loss: 0.0837 (0.0884) loss_seg: 0.0834 (0.0879) loss_lansim: 0.0389 (0.0387) loss_contra: 0.0009 (0.0075) time: 2.9463 data: 0.0057 max mem: 31630 Epoch: [15] [ 900/5278] eta: 3:37:46 lr: 3.25524668287045e-05 loss: 0.0837 (0.0883) loss_seg: 0.0834 (0.0878) loss_lansim: 0.0398 (0.0387) loss_contra: 0.0010 (0.0075) time: 2.9474 data: 0.0057 max mem: 31630 Epoch: [15] [ 910/5278] eta: 3:37:20 lr: 3.255023122736998e-05 loss: 0.0818 (0.0883) loss_seg: 0.0813 (0.0878) loss_lansim: 0.0401 (0.0387) loss_contra: 0.0011 (0.0075) time: 2.9581 data: 0.0058 max mem: 31630 Epoch: [15] [ 920/5278] eta: 3:36:46 lr: 3.254799560897483e-05 loss: 0.0809 (0.0883) loss_seg: 0.0805 (0.0878) loss_lansim: 0.0398 (0.0387) loss_contra: 0.0011 (0.0074) time: 2.9464 data: 0.0058 max mem: 31630 Epoch: [15] [ 930/5278] eta: 3:36:13 lr: 3.2545759973517596e-05 loss: 0.0818 (0.0882) loss_seg: 0.0813 (0.0877) loss_lansim: 0.0394 (0.0388) loss_contra: 0.0010 (0.0074) time: 2.9401 data: 0.0058 max mem: 31630 Epoch: [15] [ 940/5278] eta: 3:35:40 lr: 3.254352432099686e-05 loss: 0.0818 (0.0881) loss_seg: 0.0813 (0.0876) loss_lansim: 0.0393 (0.0388) loss_contra: 0.0011 (0.0076) time: 2.9418 data: 0.0058 max mem: 31630 Epoch: [15] [ 950/5278] eta: 3:35:13 lr: 3.2541288651411176e-05 loss: 0.0807 (0.0880) loss_seg: 0.0803 (0.0876) loss_lansim: 0.0396 (0.0389) loss_contra: 0.0011 (0.0075) time: 2.9546 data: 0.0059 max mem: 31630 Epoch: [15] [ 960/5278] eta: 3:34:41 lr: 3.253905296475912e-05 loss: 0.0805 (0.0879) loss_seg: 0.0795 (0.0874) loss_lansim: 0.0393 (0.0389) loss_contra: 0.0010 (0.0074) time: 2.9542 data: 0.0059 max mem: 31630 Epoch: [15] [ 970/5278] eta: 3:34:09 lr: 3.253681726103925e-05 loss: 0.0799 (0.0879) loss_seg: 0.0795 (0.0874) loss_lansim: 0.0394 (0.0389) loss_contra: 0.0010 (0.0074) time: 2.9450 data: 0.0059 max mem: 31630 Epoch: [15] [ 980/5278] eta: 3:33:37 lr: 3.2534581540250136e-05 loss: 0.0807 (0.0880) loss_seg: 0.0803 (0.0875) loss_lansim: 0.0395 (0.0390) loss_contra: 0.0009 (0.0074) time: 2.9470 data: 0.0059 max mem: 31630 Epoch: [15] [ 990/5278] eta: 3:33:10 lr: 3.253234580239035e-05 loss: 0.0790 (0.0881) loss_seg: 0.0785 (0.0876) loss_lansim: 0.0413 (0.0391) loss_contra: 0.0007 (0.0073) time: 2.9633 data: 0.0060 max mem: 31630 Epoch: [15] [1000/5278] eta: 3:32:40 lr: 3.253011004745846e-05 loss: 0.0786 (0.0880) loss_seg: 0.0782 (0.0875) loss_lansim: 0.0413 (0.0391) loss_contra: 0.0007 (0.0073) time: 2.9670 data: 0.0061 max mem: 31630 Epoch: [15] [1010/5278] eta: 3:32:06 lr: 3.252787427545303e-05 loss: 0.0774 (0.0879) loss_seg: 0.0768 (0.0875) loss_lansim: 0.0413 (0.0392) loss_contra: 0.0006 (0.0072) time: 2.9480 data: 0.0060 max mem: 31630 Epoch: [15] [1020/5278] eta: 3:31:34 lr: 3.25256384863726e-05 loss: 0.0772 (0.0880) loss_seg: 0.0768 (0.0875) loss_lansim: 0.0402 (0.0391) loss_contra: 0.0006 (0.0072) time: 2.9534 data: 0.0059 max mem: 31630 Epoch: [15] [1030/5278] eta: 3:31:04 lr: 3.252340268021578e-05 loss: 0.0772 (0.0879) loss_seg: 0.0768 (0.0875) loss_lansim: 0.0400 (0.0391) loss_contra: 0.0006 (0.0072) time: 2.9580 data: 0.0060 max mem: 31630 Epoch: [15] [1040/5278] eta: 3:30:32 lr: 3.2521166856981095e-05 loss: 0.0774 (0.0879) loss_seg: 0.0768 (0.0874) loss_lansim: 0.0400 (0.0391) loss_contra: 0.0006 (0.0072) time: 2.9590 data: 0.0060 max mem: 31630 Epoch: [15] [1050/5278] eta: 3:29:58 lr: 3.2518931016667145e-05 loss: 0.0772 (0.0878) loss_seg: 0.0768 (0.0874) loss_lansim: 0.0399 (0.0392) loss_contra: 0.0006 (0.0072) time: 2.9433 data: 0.0060 max mem: 31630 Epoch: [15] [1060/5278] eta: 3:29:26 lr: 3.251669515927246e-05 loss: 0.0749 (0.0879) loss_seg: 0.0745 (0.0874) loss_lansim: 0.0402 (0.0392) loss_contra: 0.0006 (0.0072) time: 2.9398 data: 0.0060 max mem: 31630 Epoch: [15] [1070/5278] eta: 3:28:54 lr: 3.2514459284795634e-05 loss: 0.0749 (0.0879) loss_seg: 0.0745 (0.0875) loss_lansim: 0.0400 (0.0393) loss_contra: 0.0006 (0.0071) time: 2.9416 data: 0.0061 max mem: 31630 Epoch: [15] [1080/5278] eta: 3:28:26 lr: 3.251222339323522e-05 loss: 0.0753 (0.0880) loss_seg: 0.0747 (0.0875) loss_lansim: 0.0410 (0.0393) loss_contra: 0.0006 (0.0071) time: 2.9485 data: 0.0062 max mem: 31630 Epoch: [15] [1090/5278] eta: 3:27:54 lr: 3.250998748458977e-05 loss: 0.0772 (0.0880) loss_seg: 0.0767 (0.0876) loss_lansim: 0.0410 (0.0394) loss_contra: 0.0007 (0.0071) time: 2.9350 data: 0.0061 max mem: 31630 Epoch: [15] [1100/5278] eta: 3:27:23 lr: 3.250775155885787e-05 loss: 0.0796 (0.0881) loss_seg: 0.0791 (0.0877) loss_lansim: 0.0410 (0.0395) loss_contra: 0.0007 (0.0070) time: 2.9326 data: 0.0062 max mem: 31630 Epoch: [15] [1110/5278] eta: 3:26:49 lr: 3.2505515616038074e-05 loss: 0.0799 (0.0881) loss_seg: 0.0793 (0.0877) loss_lansim: 0.0410 (0.0395) loss_contra: 0.0007 (0.0070) time: 2.9325 data: 0.0062 max mem: 31630 Epoch: [15] [1120/5278] eta: 3:26:17 lr: 3.2503279656128926e-05 loss: 0.0815 (0.0881) loss_seg: 0.0812 (0.0876) loss_lansim: 0.0417 (0.0396) loss_contra: 0.0007 (0.0069) time: 2.9289 data: 0.0062 max mem: 31630 Epoch: [15] [1130/5278] eta: 3:25:49 lr: 3.250104367912903e-05 loss: 0.0836 (0.0882) loss_seg: 0.0831 (0.0877) loss_lansim: 0.0442 (0.0396) loss_contra: 0.0007 (0.0069) time: 2.9354 data: 0.0062 max mem: 31630 Epoch: [15] [1140/5278] eta: 3:25:17 lr: 3.2498807685036914e-05 loss: 0.0799 (0.0880) loss_seg: 0.0793 (0.0876) loss_lansim: 0.0445 (0.0397) loss_contra: 0.0006 (0.0069) time: 2.9346 data: 0.0062 max mem: 31630 Epoch: [15] [1150/5278] eta: 3:24:44 lr: 3.249657167385115e-05 loss: 0.0839 (0.0882) loss_seg: 0.0835 (0.0877) loss_lansim: 0.0445 (0.0397) loss_contra: 0.0006 (0.0068) time: 2.9359 data: 0.0063 max mem: 31630 Epoch: [15] [1160/5278] eta: 3:24:14 lr: 3.249433564557031e-05 loss: 0.0845 (0.0884) loss_seg: 0.0839 (0.0880) loss_lansim: 0.0446 (0.0398) loss_contra: 0.0007 (0.0069) time: 2.9393 data: 0.0063 max mem: 31630 Epoch: [15] [1170/5278] eta: 3:23:41 lr: 3.249209960019295e-05 loss: 0.0813 (0.0884) loss_seg: 0.0810 (0.0879) loss_lansim: 0.0446 (0.0398) loss_contra: 0.0006 (0.0068) time: 2.9354 data: 0.0063 max mem: 31630 Epoch: [15] [1180/5278] eta: 3:23:12 lr: 3.2489863537717624e-05 loss: 0.0839 (0.0886) loss_seg: 0.0835 (0.0881) loss_lansim: 0.0445 (0.0399) loss_contra: 0.0006 (0.0068) time: 2.9328 data: 0.0062 max mem: 31630 Epoch: [15] [1190/5278] eta: 3:22:40 lr: 3.2487627458142914e-05 loss: 0.0839 (0.0885) loss_seg: 0.0835 (0.0880) loss_lansim: 0.0442 (0.0399) loss_contra: 0.0006 (0.0071) time: 2.9325 data: 0.0062 max mem: 31630 Epoch: [15] [1200/5278] eta: 3:22:08 lr: 3.2485391361467354e-05 loss: 0.0839 (0.0885) loss_seg: 0.0835 (0.0880) loss_lansim: 0.0442 (0.0400) loss_contra: 0.0006 (0.0071) time: 2.9276 data: 0.0062 max mem: 31630 Epoch: [15] [1210/5278] eta: 3:21:37 lr: 3.248315524768953e-05 loss: 0.0845 (0.0885) loss_seg: 0.0840 (0.0880) loss_lansim: 0.0442 (0.0400) loss_contra: 0.0007 (0.0072) time: 2.9356 data: 0.0062 max mem: 31630 Epoch: [15] [1220/5278] eta: 3:21:05 lr: 3.248091911680799e-05 loss: 0.0839 (0.0885) loss_seg: 0.0835 (0.0880) loss_lansim: 0.0437 (0.0400) loss_contra: 0.0007 (0.0071) time: 2.9360 data: 0.0061 max mem: 31630 Epoch: [15] [1230/5278] eta: 3:20:34 lr: 3.247868296882129e-05 loss: 0.0839 (0.0886) loss_seg: 0.0835 (0.0881) loss_lansim: 0.0427 (0.0400) loss_contra: 0.0008 (0.0072) time: 2.9251 data: 0.0061 max mem: 31630 Epoch: [15] [1240/5278] eta: 3:20:05 lr: 3.2476446803728014e-05 loss: 0.0870 (0.0886) loss_seg: 0.0864 (0.0881) loss_lansim: 0.0423 (0.0400) loss_contra: 0.0011 (0.0071) time: 2.9326 data: 0.0061 max mem: 31630 Epoch: [15] [1250/5278] eta: 3:19:34 lr: 3.247421062152669e-05 loss: 0.0865 (0.0888) loss_seg: 0.0861 (0.0883) loss_lansim: 0.0423 (0.0400) loss_contra: 0.0011 (0.0072) time: 2.9363 data: 0.0061 max mem: 31630 Epoch: [15] [1260/5278] eta: 3:19:03 lr: 3.2471974422215904e-05 loss: 0.0866 (0.0888) loss_seg: 0.0862 (0.0883) loss_lansim: 0.0419 (0.0400) loss_contra: 0.0009 (0.0072) time: 2.9352 data: 0.0062 max mem: 31630 Epoch: [15] [1270/5278] eta: 3:18:34 lr: 3.2469738205794206e-05 loss: 0.0883 (0.0890) loss_seg: 0.0871 (0.0885) loss_lansim: 0.0412 (0.0401) loss_contra: 0.0011 (0.0072) time: 2.9429 data: 0.0062 max mem: 31630 Epoch: [15] [1280/5278] eta: 3:18:05 lr: 3.246750197226016e-05 loss: 0.0883 (0.0891) loss_seg: 0.0871 (0.0887) loss_lansim: 0.0411 (0.0401) loss_contra: 0.0011 (0.0072) time: 2.9458 data: 0.0062 max mem: 31630 Epoch: [15] [1290/5278] eta: 3:17:34 lr: 3.246526572161232e-05 loss: 0.0903 (0.0893) loss_seg: 0.0899 (0.0888) loss_lansim: 0.0411 (0.0401) loss_contra: 0.0011 (0.0072) time: 2.9456 data: 0.0062 max mem: 31630 Epoch: [15] [1300/5278] eta: 3:17:06 lr: 3.246302945384925e-05 loss: 0.0904 (0.0891) loss_seg: 0.0899 (0.0887) loss_lansim: 0.0412 (0.0401) loss_contra: 0.0009 (0.0071) time: 2.9596 data: 0.0062 max mem: 31630 Epoch: [15] [1310/5278] eta: 3:16:40 lr: 3.24607931689695e-05 loss: 0.0903 (0.0893) loss_seg: 0.0899 (0.0888) loss_lansim: 0.0411 (0.0401) loss_contra: 0.0009 (0.0071) time: 2.9741 data: 0.0063 max mem: 31630 Epoch: [15] [1320/5278] eta: 3:16:10 lr: 3.245855686697164e-05 loss: 0.0903 (0.0893) loss_seg: 0.0899 (0.0888) loss_lansim: 0.0413 (0.0402) loss_contra: 0.0009 (0.0071) time: 2.9797 data: 0.0063 max mem: 31630 Epoch: [15] [1330/5278] eta: 3:15:42 lr: 3.245632054785421e-05 loss: 0.0912 (0.0894) loss_seg: 0.0908 (0.0889) loss_lansim: 0.0417 (0.0402) loss_contra: 0.0008 (0.0070) time: 2.9891 data: 0.0064 max mem: 31630 Epoch: [15] [1340/5278] eta: 3:15:12 lr: 3.24540842116158e-05 loss: 0.0906 (0.0893) loss_seg: 0.0899 (0.0889) loss_lansim: 0.0425 (0.0402) loss_contra: 0.0009 (0.0070) time: 2.9893 data: 0.0063 max mem: 31630 Epoch: [15] [1350/5278] eta: 3:14:41 lr: 3.245184785825494e-05 loss: 0.0913 (0.0893) loss_seg: 0.0908 (0.0888) loss_lansim: 0.0416 (0.0402) loss_contra: 0.0007 (0.0070) time: 2.9875 data: 0.0062 max mem: 31630 Epoch: [15] [1360/5278] eta: 3:14:11 lr: 3.2449611487770196e-05 loss: 0.0913 (0.0893) loss_seg: 0.0908 (0.0888) loss_lansim: 0.0408 (0.0402) loss_contra: 0.0007 (0.0069) time: 2.9911 data: 0.0063 max mem: 31630 Epoch: [15] [1370/5278] eta: 3:13:43 lr: 3.244737510016013e-05 loss: 0.0913 (0.0893) loss_seg: 0.0908 (0.0889) loss_lansim: 0.0401 (0.0401) loss_contra: 0.0008 (0.0069) time: 2.9966 data: 0.0063 max mem: 31630 Epoch: [15] [1380/5278] eta: 3:13:12 lr: 3.24451386954233e-05 loss: 0.0879 (0.0893) loss_seg: 0.0876 (0.0888) loss_lansim: 0.0399 (0.0401) loss_contra: 0.0008 (0.0069) time: 2.9863 data: 0.0063 max mem: 31630 Epoch: [15] [1390/5278] eta: 3:12:43 lr: 3.2442902273558255e-05 loss: 0.0846 (0.0893) loss_seg: 0.0843 (0.0888) loss_lansim: 0.0390 (0.0400) loss_contra: 0.0008 (0.0070) time: 2.9955 data: 0.0064 max mem: 31630 Epoch: [15] [1400/5278] eta: 3:12:12 lr: 3.244066583456356e-05 loss: 0.0851 (0.0893) loss_seg: 0.0848 (0.0889) loss_lansim: 0.0378 (0.0400) loss_contra: 0.0009 (0.0070) time: 2.9870 data: 0.0064 max mem: 31630 Epoch: [15] [1410/5278] eta: 3:11:43 lr: 3.243842937843776e-05 loss: 0.0851 (0.0894) loss_seg: 0.0848 (0.0889) loss_lansim: 0.0373 (0.0399) loss_contra: 0.0008 (0.0070) time: 2.9743 data: 0.0063 max mem: 31630 Epoch: [15] [1420/5278] eta: 3:11:12 lr: 3.243619290517943e-05 loss: 0.0843 (0.0894) loss_seg: 0.0839 (0.0889) loss_lansim: 0.0351 (0.0399) loss_contra: 0.0008 (0.0070) time: 2.9731 data: 0.0065 max mem: 31630 Epoch: [15] [1430/5278] eta: 3:10:45 lr: 3.2433956414787116e-05 loss: 0.0839 (0.0894) loss_seg: 0.0836 (0.0890) loss_lansim: 0.0338 (0.0398) loss_contra: 0.0008 (0.0070) time: 2.9755 data: 0.0066 max mem: 31630 Epoch: [15] [1440/5278] eta: 3:10:14 lr: 3.243171990725937e-05 loss: 0.0872 (0.0895) loss_seg: 0.0869 (0.0890) loss_lansim: 0.0319 (0.0398) loss_contra: 0.0007 (0.0069) time: 2.9694 data: 0.0066 max mem: 31630 Epoch: [15] [1450/5278] eta: 3:09:46 lr: 3.242948338259475e-05 loss: 0.0879 (0.0895) loss_seg: 0.0871 (0.0890) loss_lansim: 0.0320 (0.0397) loss_contra: 0.0008 (0.0070) time: 2.9814 data: 0.0067 max mem: 31630 Epoch: [15] [1460/5278] eta: 3:09:18 lr: 3.242724684079181e-05 loss: 0.0880 (0.0895) loss_seg: 0.0876 (0.0890) loss_lansim: 0.0319 (0.0397) loss_contra: 0.0007 (0.0070) time: 2.9890 data: 0.0066 max mem: 31630 Epoch: [15] [1470/5278] eta: 3:08:46 lr: 3.242501028184911e-05 loss: 0.0880 (0.0896) loss_seg: 0.0876 (0.0891) loss_lansim: 0.0319 (0.0396) loss_contra: 0.0006 (0.0069) time: 2.9756 data: 0.0066 max mem: 31630 Epoch: [15] [1480/5278] eta: 3:08:17 lr: 3.242277370576521e-05 loss: 0.0872 (0.0896) loss_seg: 0.0869 (0.0891) loss_lansim: 0.0320 (0.0396) loss_contra: 0.0006 (0.0070) time: 2.9828 data: 0.0066 max mem: 31630 Epoch: [15] [1490/5278] eta: 3:07:48 lr: 3.242053711253865e-05 loss: 0.0882 (0.0897) loss_seg: 0.0871 (0.0892) loss_lansim: 0.0322 (0.0395) loss_contra: 0.0006 (0.0070) time: 2.9865 data: 0.0065 max mem: 31630 Epoch: [15] [1500/5278] eta: 3:07:19 lr: 3.2418300502168e-05 loss: 0.0865 (0.0897) loss_seg: 0.0862 (0.0892) loss_lansim: 0.0322 (0.0395) loss_contra: 0.0006 (0.0070) time: 2.9887 data: 0.0065 max mem: 31630 Epoch: [15] [1510/5278] eta: 3:06:49 lr: 3.24160638746518e-05 loss: 0.0851 (0.0896) loss_seg: 0.0848 (0.0891) loss_lansim: 0.0317 (0.0394) loss_contra: 0.0005 (0.0070) time: 2.9910 data: 0.0065 max mem: 31630 Epoch: [15] [1520/5278] eta: 3:06:19 lr: 3.2413827229988614e-05 loss: 0.0872 (0.0897) loss_seg: 0.0869 (0.0892) loss_lansim: 0.0317 (0.0394) loss_contra: 0.0005 (0.0070) time: 2.9891 data: 0.0064 max mem: 31630 Epoch: [15] [1530/5278] eta: 3:05:48 lr: 3.2411590568176995e-05 loss: 0.0880 (0.0898) loss_seg: 0.0871 (0.0893) loss_lansim: 0.0320 (0.0393) loss_contra: 0.0005 (0.0071) time: 2.9797 data: 0.0063 max mem: 31630 Epoch: [15] [1540/5278] eta: 3:05:29 lr: 3.240935388921548e-05 loss: 0.0832 (0.0897) loss_seg: 0.0829 (0.0893) loss_lansim: 0.0322 (0.0393) loss_contra: 0.0006 (0.0070) time: 3.0263 data: 0.0061 max mem: 31630 Epoch: [15] [1550/5278] eta: 3:04:59 lr: 3.240711719310266e-05 loss: 0.0832 (0.0897) loss_seg: 0.0829 (0.0892) loss_lansim: 0.0323 (0.0393) loss_contra: 0.0007 (0.0070) time: 3.0203 data: 0.0062 max mem: 31630 Epoch: [15] [1560/5278] eta: 3:04:30 lr: 3.2404880479837054e-05 loss: 0.0851 (0.0897) loss_seg: 0.0848 (0.0892) loss_lansim: 0.0326 (0.0393) loss_contra: 0.0008 (0.0070) time: 3.0148 data: 0.0063 max mem: 31630 Epoch: [15] [1570/5278] eta: 3:03:59 lr: 3.240264374941722e-05 loss: 0.0827 (0.0897) loss_seg: 0.0824 (0.0893) loss_lansim: 0.0327 (0.0392) loss_contra: 0.0010 (0.0070) time: 3.0195 data: 0.0062 max mem: 31630 Epoch: [15] [1580/5278] eta: 3:03:30 lr: 3.240040700184173e-05 loss: 0.0827 (0.0896) loss_seg: 0.0824 (0.0891) loss_lansim: 0.0327 (0.0392) loss_contra: 0.0011 (0.0070) time: 3.0201 data: 0.0064 max mem: 31630 Epoch: [15] [1590/5278] eta: 3:03:02 lr: 3.2398170237109115e-05 loss: 0.0824 (0.0896) loss_seg: 0.0821 (0.0891) loss_lansim: 0.0327 (0.0391) loss_contra: 0.0013 (0.0070) time: 3.0207 data: 0.0064 max mem: 31630 Epoch: [15] [1600/5278] eta: 3:02:33 lr: 3.239593345521794e-05 loss: 0.0858 (0.0896) loss_seg: 0.0852 (0.0892) loss_lansim: 0.0328 (0.0391) loss_contra: 0.0011 (0.0070) time: 3.0242 data: 0.0066 max mem: 31630 Epoch: [15] [1610/5278] eta: 3:02:02 lr: 3.239369665616675e-05 loss: 0.0860 (0.0896) loss_seg: 0.0854 (0.0891) loss_lansim: 0.0330 (0.0391) loss_contra: 0.0014 (0.0071) time: 3.0183 data: 0.0066 max mem: 31630 Epoch: [15] [1620/5278] eta: 3:01:33 lr: 3.2391459839954094e-05 loss: 0.0858 (0.0896) loss_seg: 0.0854 (0.0891) loss_lansim: 0.0331 (0.0391) loss_contra: 0.0017 (0.0072) time: 3.0261 data: 0.0066 max mem: 31630 Epoch: [15] [1630/5278] eta: 3:01:04 lr: 3.238922300657853e-05 loss: 0.0814 (0.0896) loss_seg: 0.0811 (0.0891) loss_lansim: 0.0330 (0.0390) loss_contra: 0.0017 (0.0071) time: 3.0336 data: 0.0067 max mem: 31630 Epoch: [15] [1640/5278] eta: 3:00:33 lr: 3.2386986156038616e-05 loss: 0.0814 (0.0895) loss_seg: 0.0811 (0.0891) loss_lansim: 0.0330 (0.0390) loss_contra: 0.0019 (0.0071) time: 2.9876 data: 0.0067 max mem: 31630 Epoch: [15] [1650/5278] eta: 3:00:04 lr: 3.238474928833289e-05 loss: 0.0817 (0.0895) loss_seg: 0.0811 (0.0891) loss_lansim: 0.0327 (0.0390) loss_contra: 0.0019 (0.0071) time: 2.9900 data: 0.0067 max mem: 31630 Epoch: [15] [1660/5278] eta: 2:59:35 lr: 3.238251240345991e-05 loss: 0.0806 (0.0895) loss_seg: 0.0803 (0.0890) loss_lansim: 0.0323 (0.0389) loss_contra: 0.0024 (0.0075) time: 2.9901 data: 0.0066 max mem: 31630 Epoch: [15] [1670/5278] eta: 2:59:04 lr: 3.238027550141822e-05 loss: 0.0806 (0.0895) loss_seg: 0.0803 (0.0890) loss_lansim: 0.0317 (0.0388) loss_contra: 0.0026 (0.0076) time: 2.9878 data: 0.0065 max mem: 31630 Epoch: [15] [1680/5278] eta: 2:58:34 lr: 3.237803858220638e-05 loss: 0.0841 (0.0894) loss_seg: 0.0838 (0.0890) loss_lansim: 0.0310 (0.0387) loss_contra: 0.0027 (0.0076) time: 2.9868 data: 0.0064 max mem: 31630 Epoch: [15] [1690/5278] eta: 2:58:05 lr: 3.237580164582293e-05 loss: 0.0845 (0.0895) loss_seg: 0.0840 (0.0891) loss_lansim: 0.0301 (0.0386) loss_contra: 0.0028 (0.0079) time: 2.9818 data: 0.0063 max mem: 31630 Epoch: [15] [1700/5278] eta: 2:57:35 lr: 3.237356469226643e-05 loss: 0.0855 (0.0897) loss_seg: 0.0851 (0.0893) loss_lansim: 0.0288 (0.0386) loss_contra: 0.0030 (0.0080) time: 2.9782 data: 0.0061 max mem: 31630 Epoch: [15] [1710/5278] eta: 2:57:05 lr: 3.237132772153542e-05 loss: 0.0856 (0.0898) loss_seg: 0.0853 (0.0893) loss_lansim: 0.0277 (0.0385) loss_contra: 0.0032 (0.0081) time: 2.9826 data: 0.0062 max mem: 31630 Epoch: [15] [1720/5278] eta: 2:56:36 lr: 3.236909073362846e-05 loss: 0.0855 (0.0898) loss_seg: 0.0851 (0.0893) loss_lansim: 0.0264 (0.0384) loss_contra: 0.0031 (0.0083) time: 2.9809 data: 0.0061 max mem: 31630 Epoch: [15] [1730/5278] eta: 2:56:05 lr: 3.236685372854409e-05 loss: 0.0855 (0.0897) loss_seg: 0.0845 (0.0892) loss_lansim: 0.0261 (0.0383) loss_contra: 0.0032 (0.0088) time: 2.9726 data: 0.0060 max mem: 31630 Epoch: [15] [1740/5278] eta: 2:55:35 lr: 3.236461670628087e-05 loss: 0.0862 (0.0898) loss_seg: 0.0852 (0.0893) loss_lansim: 0.0258 (0.0382) loss_contra: 0.0038 (0.0088) time: 2.9749 data: 0.0060 max mem: 31630 Epoch: [15] [1750/5278] eta: 2:55:06 lr: 3.236237966683732e-05 loss: 0.0849 (0.0898) loss_seg: 0.0844 (0.0894) loss_lansim: 0.0250 (0.0382) loss_contra: 0.0045 (0.0090) time: 2.9780 data: 0.0061 max mem: 31630 Epoch: [15] [1760/5278] eta: 2:54:36 lr: 3.236014261021203e-05 loss: 0.0855 (0.0898) loss_seg: 0.0849 (0.0894) loss_lansim: 0.0250 (0.0381) loss_contra: 0.0043 (0.0095) time: 2.9751 data: 0.0060 max mem: 31630 Epoch: [15] [1770/5278] eta: 2:54:08 lr: 3.235790553640351e-05 loss: 0.0852 (0.0897) loss_seg: 0.0845 (0.0893) loss_lansim: 0.0250 (0.0380) loss_contra: 0.0045 (0.0096) time: 2.9861 data: 0.0060 max mem: 31630 Epoch: [15] [1780/5278] eta: 2:53:38 lr: 3.235566844541034e-05 loss: 0.0856 (0.0898) loss_seg: 0.0847 (0.0893) loss_lansim: 0.0254 (0.0380) loss_contra: 0.0044 (0.0097) time: 2.9847 data: 0.0060 max mem: 31630 Epoch: [15] [1790/5278] eta: 2:53:07 lr: 3.2353431337231056e-05 loss: 0.0856 (0.0898) loss_seg: 0.0851 (0.0893) loss_lansim: 0.0259 (0.0379) loss_contra: 0.0043 (0.0097) time: 2.9812 data: 0.0060 max mem: 31630 Epoch: [15] [1800/5278] eta: 2:52:38 lr: 3.23511942118642e-05 loss: 0.0852 (0.0898) loss_seg: 0.0844 (0.0894) loss_lansim: 0.0261 (0.0379) loss_contra: 0.0038 (0.0097) time: 2.9846 data: 0.0060 max mem: 31630 Epoch: [15] [1810/5278] eta: 2:52:09 lr: 3.2348957069308316e-05 loss: 0.0846 (0.0899) loss_seg: 0.0841 (0.0894) loss_lansim: 0.0261 (0.0378) loss_contra: 0.0036 (0.0097) time: 2.9853 data: 0.0059 max mem: 31630 Epoch: [15] [1820/5278] eta: 2:51:39 lr: 3.234671990956196e-05 loss: 0.0840 (0.0899) loss_seg: 0.0825 (0.0894) loss_lansim: 0.0263 (0.0377) loss_contra: 0.0036 (0.0097) time: 2.9825 data: 0.0060 max mem: 31630 Epoch: [15] [1830/5278] eta: 2:51:10 lr: 3.234448273262368e-05 loss: 0.0840 (0.0899) loss_seg: 0.0832 (0.0894) loss_lansim: 0.0261 (0.0377) loss_contra: 0.0032 (0.0097) time: 2.9935 data: 0.0060 max mem: 31630 Epoch: [15] [1840/5278] eta: 2:50:39 lr: 3.2342245538492014e-05 loss: 0.0832 (0.0898) loss_seg: 0.0821 (0.0893) loss_lansim: 0.0259 (0.0376) loss_contra: 0.0022 (0.0096) time: 2.9901 data: 0.0061 max mem: 31630 Epoch: [15] [1850/5278] eta: 2:50:10 lr: 3.2340008327165514e-05 loss: 0.0824 (0.0898) loss_seg: 0.0818 (0.0893) loss_lansim: 0.0261 (0.0376) loss_contra: 0.0017 (0.0096) time: 2.9870 data: 0.0060 max mem: 31630 Epoch: [15] [1860/5278] eta: 2:49:40 lr: 3.233777109864273e-05 loss: 0.0816 (0.0899) loss_seg: 0.0811 (0.0894) loss_lansim: 0.0261 (0.0375) loss_contra: 0.0012 (0.0095) time: 2.9873 data: 0.0061 max mem: 31630 Epoch: [15] [1870/5278] eta: 2:49:11 lr: 3.2335533852922204e-05 loss: 0.0816 (0.0898) loss_seg: 0.0811 (0.0893) loss_lansim: 0.0265 (0.0375) loss_contra: 0.0009 (0.0095) time: 2.9842 data: 0.0061 max mem: 31630 Epoch: [15] [1880/5278] eta: 2:48:41 lr: 3.233329659000247e-05 loss: 0.0816 (0.0898) loss_seg: 0.0811 (0.0893) loss_lansim: 0.0263 (0.0374) loss_contra: 0.0007 (0.0095) time: 2.9870 data: 0.0061 max mem: 31630 Epoch: [15] [1890/5278] eta: 2:48:12 lr: 3.23310593098821e-05 loss: 0.0781 (0.0897) loss_seg: 0.0778 (0.0892) loss_lansim: 0.0263 (0.0374) loss_contra: 0.0006 (0.0094) time: 2.9885 data: 0.0061 max mem: 31630 Epoch: [15] [1900/5278] eta: 2:47:42 lr: 3.232882201255962e-05 loss: 0.0755 (0.0896) loss_seg: 0.0753 (0.0891) loss_lansim: 0.0263 (0.0373) loss_contra: 0.0005 (0.0094) time: 2.9867 data: 0.0061 max mem: 31630 Epoch: [15] [1910/5278] eta: 2:47:12 lr: 3.232658469803357e-05 loss: 0.0740 (0.0896) loss_seg: 0.0731 (0.0892) loss_lansim: 0.0263 (0.0372) loss_contra: 0.0005 (0.0093) time: 2.9869 data: 0.0060 max mem: 31630 Epoch: [15] [1920/5278] eta: 2:46:43 lr: 3.2324347366302515e-05 loss: 0.0727 (0.0896) loss_seg: 0.0724 (0.0892) loss_lansim: 0.0261 (0.0372) loss_contra: 0.0004 (0.0093) time: 2.9911 data: 0.0059 max mem: 31630 Epoch: [15] [1930/5278] eta: 2:46:13 lr: 3.232211001736498e-05 loss: 0.0755 (0.0897) loss_seg: 0.0753 (0.0893) loss_lansim: 0.0263 (0.0371) loss_contra: 0.0005 (0.0093) time: 2.9828 data: 0.0059 max mem: 31630 Epoch: [15] [1940/5278] eta: 2:45:43 lr: 3.2319872651219515e-05 loss: 0.0767 (0.0897) loss_seg: 0.0764 (0.0892) loss_lansim: 0.0264 (0.0371) loss_contra: 0.0005 (0.0093) time: 2.9851 data: 0.0059 max mem: 31630 Epoch: [15] [1950/5278] eta: 2:45:13 lr: 3.2317635267864675e-05 loss: 0.0767 (0.0897) loss_seg: 0.0764 (0.0892) loss_lansim: 0.0266 (0.0370) loss_contra: 0.0006 (0.0093) time: 2.9835 data: 0.0059 max mem: 31630 Epoch: [15] [1960/5278] eta: 2:44:43 lr: 3.231539786729899e-05 loss: 0.0814 (0.0897) loss_seg: 0.0809 (0.0893) loss_lansim: 0.0270 (0.0370) loss_contra: 0.0009 (0.0092) time: 2.9829 data: 0.0059 max mem: 31630 Epoch: [15] [1970/5278] eta: 2:44:13 lr: 3.2313160449521013e-05 loss: 0.0815 (0.0897) loss_seg: 0.0812 (0.0892) loss_lansim: 0.0267 (0.0369) loss_contra: 0.0008 (0.0092) time: 2.9808 data: 0.0059 max mem: 31630 Epoch: [15] [1980/5278] eta: 2:43:44 lr: 3.231092301452928e-05 loss: 0.0815 (0.0897) loss_seg: 0.0812 (0.0892) loss_lansim: 0.0266 (0.0369) loss_contra: 0.0010 (0.0093) time: 2.9821 data: 0.0058 max mem: 31630 Epoch: [15] [1990/5278] eta: 2:43:14 lr: 3.2308685562322334e-05 loss: 0.0817 (0.0897) loss_seg: 0.0815 (0.0892) loss_lansim: 0.0268 (0.0368) loss_contra: 0.0010 (0.0093) time: 2.9799 data: 0.0058 max mem: 31630 Epoch: [15] [2000/5278] eta: 2:42:44 lr: 3.230644809289873e-05 loss: 0.0821 (0.0896) loss_seg: 0.0818 (0.0891) loss_lansim: 0.0268 (0.0368) loss_contra: 0.0011 (0.0093) time: 2.9793 data: 0.0059 max mem: 31630 Epoch: [15] [2010/5278] eta: 2:42:15 lr: 3.230421060625699e-05 loss: 0.0834 (0.0896) loss_seg: 0.0828 (0.0892) loss_lansim: 0.0263 (0.0367) loss_contra: 0.0013 (0.0093) time: 2.9835 data: 0.0059 max mem: 31630 Epoch: [15] [2020/5278] eta: 2:41:44 lr: 3.2301973102395675e-05 loss: 0.0828 (0.0896) loss_seg: 0.0826 (0.0892) loss_lansim: 0.0263 (0.0367) loss_contra: 0.0013 (0.0093) time: 2.9740 data: 0.0059 max mem: 31630 Epoch: [15] [2030/5278] eta: 2:41:15 lr: 3.2299735581313325e-05 loss: 0.0821 (0.0896) loss_seg: 0.0818 (0.0891) loss_lansim: 0.0263 (0.0366) loss_contra: 0.0012 (0.0093) time: 2.9791 data: 0.0059 max mem: 31630 Epoch: [15] [2040/5278] eta: 2:40:46 lr: 3.229749804300846e-05 loss: 0.0834 (0.0896) loss_seg: 0.0828 (0.0891) loss_lansim: 0.0261 (0.0366) loss_contra: 0.0012 (0.0093) time: 2.9864 data: 0.0059 max mem: 31630 Epoch: [15] [2050/5278] eta: 2:40:16 lr: 3.229526048747966e-05 loss: 0.0835 (0.0897) loss_seg: 0.0833 (0.0892) loss_lansim: 0.0261 (0.0365) loss_contra: 0.0013 (0.0093) time: 2.9837 data: 0.0059 max mem: 31630 Epoch: [15] [2060/5278] eta: 2:39:46 lr: 3.229302291472543e-05 loss: 0.0828 (0.0896) loss_seg: 0.0826 (0.0892) loss_lansim: 0.0261 (0.0365) loss_contra: 0.0013 (0.0093) time: 2.9839 data: 0.0059 max mem: 31630 Epoch: [15] [2070/5278] eta: 2:39:18 lr: 3.229078532474433e-05 loss: 0.0828 (0.0896) loss_seg: 0.0826 (0.0891) loss_lansim: 0.0262 (0.0365) loss_contra: 0.0015 (0.0092) time: 2.9969 data: 0.0059 max mem: 31630 Epoch: [15] [2080/5278] eta: 2:38:47 lr: 3.228854771753491e-05 loss: 0.0828 (0.0896) loss_seg: 0.0826 (0.0891) loss_lansim: 0.0262 (0.0364) loss_contra: 0.0014 (0.0092) time: 2.9856 data: 0.0059 max mem: 31630 Epoch: [15] [2090/5278] eta: 2:38:18 lr: 3.228631009309569e-05 loss: 0.0821 (0.0896) loss_seg: 0.0818 (0.0891) loss_lansim: 0.0263 (0.0364) loss_contra: 0.0014 (0.0092) time: 2.9911 data: 0.0059 max mem: 31630 Epoch: [15] [2100/5278] eta: 2:37:48 lr: 3.2284072451425215e-05 loss: 0.0828 (0.0896) loss_seg: 0.0826 (0.0891) loss_lansim: 0.0263 (0.0363) loss_contra: 0.0012 (0.0091) time: 2.9878 data: 0.0059 max mem: 31630 Epoch: [15] [2110/5278] eta: 2:37:18 lr: 3.228183479252203e-05 loss: 0.0828 (0.0896) loss_seg: 0.0825 (0.0891) loss_lansim: 0.0265 (0.0363) loss_contra: 0.0011 (0.0091) time: 2.9815 data: 0.0059 max mem: 31630 Epoch: [15] [2120/5278] eta: 2:36:48 lr: 3.227959711638467e-05 loss: 0.0819 (0.0895) loss_seg: 0.0817 (0.0891) loss_lansim: 0.0263 (0.0362) loss_contra: 0.0011 (0.0091) time: 2.9903 data: 0.0059 max mem: 31630 Epoch: [15] [2130/5278] eta: 2:36:18 lr: 3.227735942301169e-05 loss: 0.0819 (0.0895) loss_seg: 0.0817 (0.0890) loss_lansim: 0.0263 (0.0362) loss_contra: 0.0011 (0.0090) time: 2.9845 data: 0.0059 max mem: 31630 Epoch: [15] [2140/5278] eta: 2:35:48 lr: 3.227512171240161e-05 loss: 0.0828 (0.0895) loss_seg: 0.0825 (0.0890) loss_lansim: 0.0263 (0.0361) loss_contra: 0.0011 (0.0090) time: 2.9790 data: 0.0059 max mem: 31630 Epoch: [15] [2150/5278] eta: 2:35:19 lr: 3.2272883984552975e-05 loss: 0.0813 (0.0896) loss_seg: 0.0810 (0.0891) loss_lansim: 0.0262 (0.0361) loss_contra: 0.0009 (0.0090) time: 2.9850 data: 0.0059 max mem: 31630 Epoch: [15] [2160/5278] eta: 2:34:50 lr: 3.2270646239464334e-05 loss: 0.0833 (0.0896) loss_seg: 0.0831 (0.0892) loss_lansim: 0.0262 (0.0361) loss_contra: 0.0009 (0.0090) time: 2.9887 data: 0.0059 max mem: 31630 Epoch: [15] [2170/5278] eta: 2:34:20 lr: 3.2268408477134214e-05 loss: 0.0819 (0.0895) loss_seg: 0.0816 (0.0891) loss_lansim: 0.0261 (0.0360) loss_contra: 0.0006 (0.0089) time: 2.9774 data: 0.0059 max mem: 31630 Epoch: [15] [2180/5278] eta: 2:33:51 lr: 3.226617069756117e-05 loss: 0.0809 (0.0895) loss_seg: 0.0807 (0.0891) loss_lansim: 0.0261 (0.0360) loss_contra: 0.0006 (0.0091) time: 2.9895 data: 0.0059 max mem: 31630 Epoch: [15] [2190/5278] eta: 2:33:21 lr: 3.2263932900743715e-05 loss: 0.0819 (0.0895) loss_seg: 0.0816 (0.0891) loss_lansim: 0.0258 (0.0359) loss_contra: 0.0005 (0.0090) time: 2.9838 data: 0.0059 max mem: 31630 Epoch: [15] [2200/5278] eta: 2:32:51 lr: 3.22616950866804e-05 loss: 0.0802 (0.0895) loss_seg: 0.0798 (0.0890) loss_lansim: 0.0255 (0.0359) loss_contra: 0.0005 (0.0090) time: 2.9903 data: 0.0059 max mem: 31630 Epoch: [15] [2210/5278] eta: 2:32:22 lr: 3.2259457255369775e-05 loss: 0.0779 (0.0895) loss_seg: 0.0776 (0.0891) loss_lansim: 0.0257 (0.0358) loss_contra: 0.0004 (0.0090) time: 2.9933 data: 0.0059 max mem: 31630 Epoch: [15] [2220/5278] eta: 2:31:51 lr: 3.225721940681036e-05 loss: 0.0779 (0.0895) loss_seg: 0.0776 (0.0891) loss_lansim: 0.0260 (0.0358) loss_contra: 0.0004 (0.0090) time: 2.9878 data: 0.0059 max mem: 31630 Epoch: [15] [2230/5278] eta: 2:31:22 lr: 3.225498154100069e-05 loss: 0.0779 (0.0895) loss_seg: 0.0776 (0.0891) loss_lansim: 0.0260 (0.0358) loss_contra: 0.0005 (0.0090) time: 2.9932 data: 0.0059 max mem: 31630 Epoch: [15] [2240/5278] eta: 2:30:53 lr: 3.225274365793933e-05 loss: 0.0804 (0.0897) loss_seg: 0.0802 (0.0892) loss_lansim: 0.0264 (0.0357) loss_contra: 0.0005 (0.0090) time: 2.9991 data: 0.0059 max mem: 31630 Epoch: [15] [2250/5278] eta: 2:30:23 lr: 3.225050575762478e-05 loss: 0.0804 (0.0897) loss_seg: 0.0802 (0.0892) loss_lansim: 0.0264 (0.0357) loss_contra: 0.0005 (0.0091) time: 2.9900 data: 0.0059 max mem: 31630 Epoch: [15] [2260/5278] eta: 2:29:54 lr: 3.224826784005561e-05 loss: 0.0787 (0.0897) loss_seg: 0.0784 (0.0892) loss_lansim: 0.0264 (0.0357) loss_contra: 0.0005 (0.0091) time: 2.9942 data: 0.0059 max mem: 31630 Epoch: [15] [2270/5278] eta: 2:29:25 lr: 3.2246029905230327e-05 loss: 0.0817 (0.0897) loss_seg: 0.0813 (0.0893) loss_lansim: 0.0269 (0.0356) loss_contra: 0.0008 (0.0093) time: 2.9996 data: 0.0059 max mem: 31630 Epoch: [15] [2280/5278] eta: 2:28:54 lr: 3.2243791953147487e-05 loss: 0.0826 (0.0897) loss_seg: 0.0823 (0.0893) loss_lansim: 0.0272 (0.0356) loss_contra: 0.0009 (0.0093) time: 2.9892 data: 0.0059 max mem: 31630 Epoch: [15] [2290/5278] eta: 2:28:25 lr: 3.2241553983805625e-05 loss: 0.0823 (0.0897) loss_seg: 0.0820 (0.0892) loss_lansim: 0.0277 (0.0356) loss_contra: 0.0011 (0.0093) time: 2.9978 data: 0.0059 max mem: 31630 Epoch: [15] [2300/5278] eta: 2:27:56 lr: 3.2239315997203265e-05 loss: 0.0854 (0.0897) loss_seg: 0.0851 (0.0892) loss_lansim: 0.0280 (0.0355) loss_contra: 0.0011 (0.0093) time: 2.9977 data: 0.0058 max mem: 31630 Epoch: [15] [2310/5278] eta: 2:27:25 lr: 3.223707799333896e-05 loss: 0.0854 (0.0897) loss_seg: 0.0851 (0.0892) loss_lansim: 0.0278 (0.0355) loss_contra: 0.0012 (0.0093) time: 2.9900 data: 0.0058 max mem: 31630 Epoch: [15] [2320/5278] eta: 2:26:56 lr: 3.223483997221123e-05 loss: 0.0854 (0.0897) loss_seg: 0.0851 (0.0892) loss_lansim: 0.0272 (0.0355) loss_contra: 0.0012 (0.0093) time: 2.9968 data: 0.0058 max mem: 31630 Epoch: [15] [2330/5278] eta: 2:26:26 lr: 3.2232601933818604e-05 loss: 0.0854 (0.0896) loss_seg: 0.0851 (0.0892) loss_lansim: 0.0269 (0.0354) loss_contra: 0.0012 (0.0093) time: 2.9940 data: 0.0058 max mem: 31630 Epoch: [15] [2340/5278] eta: 2:25:56 lr: 3.223036387815965e-05 loss: 0.0854 (0.0897) loss_seg: 0.0851 (0.0892) loss_lansim: 0.0264 (0.0354) loss_contra: 0.0012 (0.0092) time: 2.9867 data: 0.0058 max mem: 31630 Epoch: [15] [2350/5278] eta: 2:25:27 lr: 3.222812580523286e-05 loss: 0.0832 (0.0896) loss_seg: 0.0828 (0.0892) loss_lansim: 0.0266 (0.0353) loss_contra: 0.0011 (0.0092) time: 2.9967 data: 0.0058 max mem: 31630 Epoch: [15] [2360/5278] eta: 2:24:57 lr: 3.22258877150368e-05 loss: 0.0834 (0.0897) loss_seg: 0.0830 (0.0892) loss_lansim: 0.0264 (0.0353) loss_contra: 0.0011 (0.0092) time: 2.9951 data: 0.0058 max mem: 31630 Epoch: [15] [2370/5278] eta: 2:24:27 lr: 3.222364960756999e-05 loss: 0.0813 (0.0897) loss_seg: 0.0810 (0.0893) loss_lansim: 0.0264 (0.0353) loss_contra: 0.0010 (0.0092) time: 2.9872 data: 0.0058 max mem: 31630 Epoch: [15] [2380/5278] eta: 2:23:58 lr: 3.222141148283097e-05 loss: 0.0812 (0.0897) loss_seg: 0.0810 (0.0893) loss_lansim: 0.0263 (0.0352) loss_contra: 0.0009 (0.0092) time: 2.9947 data: 0.0058 max mem: 31630 Epoch: [15] [2390/5278] eta: 2:23:28 lr: 3.2219173340818266e-05 loss: 0.0831 (0.0897) loss_seg: 0.0828 (0.0893) loss_lansim: 0.0262 (0.0352) loss_contra: 0.0009 (0.0091) time: 2.9896 data: 0.0058 max mem: 31630 Epoch: [15] [2400/5278] eta: 2:22:58 lr: 3.2216935181530425e-05 loss: 0.0834 (0.0898) loss_seg: 0.0830 (0.0893) loss_lansim: 0.0263 (0.0352) loss_contra: 0.0008 (0.0091) time: 2.9842 data: 0.0058 max mem: 31630 Epoch: [15] [2410/5278] eta: 2:22:27 lr: 3.221469700496596e-05 loss: 0.0829 (0.0897) loss_seg: 0.0826 (0.0893) loss_lansim: 0.0266 (0.0352) loss_contra: 0.0008 (0.0091) time: 2.9807 data: 0.0058 max mem: 31630 Epoch: [15] [2420/5278] eta: 2:21:57 lr: 3.2212458811123414e-05 loss: 0.0831 (0.0897) loss_seg: 0.0828 (0.0892) loss_lansim: 0.0269 (0.0351) loss_contra: 0.0007 (0.0091) time: 2.9748 data: 0.0058 max mem: 31630 Epoch: [15] [2430/5278] eta: 2:21:26 lr: 3.2210220600001324e-05 loss: 0.0832 (0.0897) loss_seg: 0.0830 (0.0892) loss_lansim: 0.0267 (0.0351) loss_contra: 0.0007 (0.0090) time: 2.9630 data: 0.0058 max mem: 31630 Epoch: [15] [2440/5278] eta: 2:20:56 lr: 3.2207982371598224e-05 loss: 0.0819 (0.0897) loss_seg: 0.0816 (0.0892) loss_lansim: 0.0269 (0.0351) loss_contra: 0.0006 (0.0090) time: 2.9689 data: 0.0059 max mem: 31630 Epoch: [15] [2450/5278] eta: 2:20:27 lr: 3.220574412591264e-05 loss: 0.0841 (0.0899) loss_seg: 0.0838 (0.0894) loss_lansim: 0.0269 (0.0350) loss_contra: 0.0006 (0.0090) time: 2.9652 data: 0.0059 max mem: 31630 Epoch: [15] [2460/5278] eta: 2:19:57 lr: 3.22035058629431e-05 loss: 0.0841 (0.0899) loss_seg: 0.0838 (0.0894) loss_lansim: 0.0269 (0.0350) loss_contra: 0.0005 (0.0091) time: 2.9564 data: 0.0059 max mem: 31630 Epoch: [15] [2470/5278] eta: 2:19:27 lr: 3.220126758268814e-05 loss: 0.0848 (0.0899) loss_seg: 0.0845 (0.0895) loss_lansim: 0.0267 (0.0350) loss_contra: 0.0005 (0.0091) time: 2.9573 data: 0.0059 max mem: 31630 Epoch: [15] [2480/5278] eta: 2:18:56 lr: 3.21990292851463e-05 loss: 0.0848 (0.0899) loss_seg: 0.0845 (0.0895) loss_lansim: 0.0268 (0.0349) loss_contra: 0.0006 (0.0090) time: 2.9510 data: 0.0059 max mem: 31630 Epoch: [15] [2490/5278] eta: 2:18:26 lr: 3.21967909703161e-05 loss: 0.0841 (0.0899) loss_seg: 0.0838 (0.0894) loss_lansim: 0.0270 (0.0349) loss_contra: 0.0007 (0.0090) time: 2.9438 data: 0.0059 max mem: 31630 Epoch: [15] [2500/5278] eta: 2:17:55 lr: 3.219455263819608e-05 loss: 0.0841 (0.0900) loss_seg: 0.0838 (0.0895) loss_lansim: 0.0268 (0.0349) loss_contra: 0.0009 (0.0090) time: 2.9414 data: 0.0059 max mem: 31630 Epoch: [15] [2510/5278] eta: 2:17:27 lr: 3.2192314288784755e-05 loss: 0.0855 (0.0901) loss_seg: 0.0852 (0.0897) loss_lansim: 0.0266 (0.0348) loss_contra: 0.0008 (0.0090) time: 2.9582 data: 0.0059 max mem: 31630 Epoch: [15] [2520/5278] eta: 2:16:57 lr: 3.219007592208067e-05 loss: 0.0884 (0.0904) loss_seg: 0.0881 (0.0899) loss_lansim: 0.0266 (0.0348) loss_contra: 0.0009 (0.0090) time: 2.9599 data: 0.0060 max mem: 31630 Epoch: [15] [2530/5278] eta: 2:16:26 lr: 3.218783753808236e-05 loss: 0.0858 (0.0903) loss_seg: 0.0855 (0.0899) loss_lansim: 0.0267 (0.0348) loss_contra: 0.0009 (0.0090) time: 2.9663 data: 0.0059 max mem: 31630 Epoch: [15] [2540/5278] eta: 2:15:56 lr: 3.218559913678833e-05 loss: 0.0880 (0.0903) loss_seg: 0.0878 (0.0899) loss_lansim: 0.0271 (0.0348) loss_contra: 0.0009 (0.0089) time: 2.9616 data: 0.0059 max mem: 31630 Epoch: [15] [2550/5278] eta: 2:15:27 lr: 3.218336071819714e-05 loss: 0.0859 (0.0903) loss_seg: 0.0852 (0.0899) loss_lansim: 0.0270 (0.0347) loss_contra: 0.0010 (0.0089) time: 2.9607 data: 0.0059 max mem: 31630 Epoch: [15] [2560/5278] eta: 2:14:56 lr: 3.21811222823073e-05 loss: 0.0859 (0.0903) loss_seg: 0.0851 (0.0899) loss_lansim: 0.0273 (0.0347) loss_contra: 0.0011 (0.0089) time: 2.9571 data: 0.0059 max mem: 31630 Epoch: [15] [2570/5278] eta: 2:14:26 lr: 3.217888382911735e-05 loss: 0.0854 (0.0904) loss_seg: 0.0851 (0.0900) loss_lansim: 0.0273 (0.0347) loss_contra: 0.0012 (0.0089) time: 2.9548 data: 0.0060 max mem: 31630 Epoch: [15] [2580/5278] eta: 2:13:56 lr: 3.217664535862582e-05 loss: 0.0879 (0.0905) loss_seg: 0.0869 (0.0901) loss_lansim: 0.0275 (0.0347) loss_contra: 0.0012 (0.0090) time: 2.9613 data: 0.0061 max mem: 31630 Epoch: [15] [2590/5278] eta: 2:13:28 lr: 3.217440687083122e-05 loss: 0.0891 (0.0906) loss_seg: 0.0888 (0.0901) loss_lansim: 0.0270 (0.0346) loss_contra: 0.0012 (0.0090) time: 2.9827 data: 0.0061 max mem: 31630 Epoch: [15] [2600/5278] eta: 2:12:57 lr: 3.21721683657321e-05 loss: 0.0879 (0.0906) loss_seg: 0.0869 (0.0902) loss_lansim: 0.0274 (0.0346) loss_contra: 0.0010 (0.0090) time: 2.9772 data: 0.0062 max mem: 31630 Epoch: [15] [2610/5278] eta: 2:12:27 lr: 3.216992984332698e-05 loss: 0.0891 (0.0906) loss_seg: 0.0888 (0.0902) loss_lansim: 0.0273 (0.0346) loss_contra: 0.0012 (0.0090) time: 2.9608 data: 0.0063 max mem: 31630 Epoch: [15] [2620/5278] eta: 2:11:56 lr: 3.2167691303614375e-05 loss: 0.0863 (0.0906) loss_seg: 0.0860 (0.0902) loss_lansim: 0.0273 (0.0346) loss_contra: 0.0012 (0.0090) time: 2.9488 data: 0.0063 max mem: 31630 Epoch: [15] [2630/5278] eta: 2:11:25 lr: 3.216545274659284e-05 loss: 0.0879 (0.0907) loss_seg: 0.0869 (0.0902) loss_lansim: 0.0270 (0.0345) loss_contra: 0.0012 (0.0090) time: 2.9420 data: 0.0063 max mem: 31630 Epoch: [15] [2640/5278] eta: 2:10:54 lr: 3.216321417226089e-05 loss: 0.0872 (0.0907) loss_seg: 0.0868 (0.0903) loss_lansim: 0.0270 (0.0345) loss_contra: 0.0014 (0.0090) time: 2.9341 data: 0.0063 max mem: 31630 Epoch: [15] [2650/5278] eta: 2:10:23 lr: 3.216097558061705e-05 loss: 0.0869 (0.0907) loss_seg: 0.0866 (0.0903) loss_lansim: 0.0273 (0.0345) loss_contra: 0.0012 (0.0090) time: 2.9192 data: 0.0063 max mem: 31630 Epoch: [15] [2660/5278] eta: 2:09:52 lr: 3.2158736971659845e-05 loss: 0.0869 (0.0907) loss_seg: 0.0866 (0.0903) loss_lansim: 0.0269 (0.0345) loss_contra: 0.0012 (0.0090) time: 2.9192 data: 0.0064 max mem: 31630 Epoch: [15] [2670/5278] eta: 2:09:22 lr: 3.215649834538781e-05 loss: 0.0869 (0.0907) loss_seg: 0.0866 (0.0903) loss_lansim: 0.0269 (0.0344) loss_contra: 0.0010 (0.0090) time: 2.9147 data: 0.0064 max mem: 31630 Epoch: [15] [2680/5278] eta: 2:08:51 lr: 3.215425970179946e-05 loss: 0.0853 (0.0907) loss_seg: 0.0850 (0.0903) loss_lansim: 0.0269 (0.0344) loss_contra: 0.0010 (0.0090) time: 2.9052 data: 0.0064 max mem: 31630 Epoch: [15] [2690/5278] eta: 2:08:21 lr: 3.215202104089333e-05 loss: 0.0841 (0.0907) loss_seg: 0.0838 (0.0903) loss_lansim: 0.0273 (0.0344) loss_contra: 0.0011 (0.0090) time: 2.8782 data: 0.0064 max mem: 31630 Epoch: [15] [2700/5278] eta: 2:07:50 lr: 3.214978236266795e-05 loss: 0.0843 (0.0907) loss_seg: 0.0841 (0.0903) loss_lansim: 0.0269 (0.0344) loss_contra: 0.0012 (0.0091) time: 2.8768 data: 0.0063 max mem: 31630 Epoch: [15] [2710/5278] eta: 2:07:19 lr: 3.214754366712184e-05 loss: 0.0841 (0.0908) loss_seg: 0.0838 (0.0903) loss_lansim: 0.0269 (0.0343) loss_contra: 0.0011 (0.0091) time: 2.8772 data: 0.0063 max mem: 31630 Epoch: [15] [2720/5278] eta: 2:06:49 lr: 3.214530495425353e-05 loss: 0.0852 (0.0908) loss_seg: 0.0848 (0.0903) loss_lansim: 0.0269 (0.0343) loss_contra: 0.0011 (0.0091) time: 2.8803 data: 0.0063 max mem: 31630 Epoch: [15] [2730/5278] eta: 2:06:18 lr: 3.2143066224061534e-05 loss: 0.0831 (0.0907) loss_seg: 0.0828 (0.0903) loss_lansim: 0.0273 (0.0343) loss_contra: 0.0010 (0.0090) time: 2.8799 data: 0.0064 max mem: 31630 Epoch: [15] [2740/5278] eta: 2:05:48 lr: 3.21408274765444e-05 loss: 0.0829 (0.0908) loss_seg: 0.0820 (0.0903) loss_lansim: 0.0268 (0.0343) loss_contra: 0.0008 (0.0090) time: 2.8870 data: 0.0064 max mem: 31630 Epoch: [15] [2750/5278] eta: 2:05:18 lr: 3.213858871170062e-05 loss: 0.0843 (0.0908) loss_seg: 0.0841 (0.0903) loss_lansim: 0.0265 (0.0342) loss_contra: 0.0010 (0.0090) time: 2.9033 data: 0.0064 max mem: 31630 Epoch: [15] [2760/5278] eta: 2:04:48 lr: 3.213634992952875e-05 loss: 0.0843 (0.0908) loss_seg: 0.0841 (0.0903) loss_lansim: 0.0265 (0.0342) loss_contra: 0.0009 (0.0089) time: 2.9073 data: 0.0063 max mem: 31630 Epoch: [15] [2770/5278] eta: 2:04:18 lr: 3.21341111300273e-05 loss: 0.0866 (0.0908) loss_seg: 0.0863 (0.0904) loss_lansim: 0.0269 (0.0342) loss_contra: 0.0010 (0.0090) time: 2.9081 data: 0.0062 max mem: 31630 Epoch: [15] [2780/5278] eta: 2:03:48 lr: 3.2131872313194796e-05 loss: 0.0843 (0.0908) loss_seg: 0.0841 (0.0903) loss_lansim: 0.0269 (0.0342) loss_contra: 0.0008 (0.0090) time: 2.9068 data: 0.0062 max mem: 31630 Epoch: [15] [2790/5278] eta: 2:03:18 lr: 3.212963347902976e-05 loss: 0.0853 (0.0908) loss_seg: 0.0851 (0.0903) loss_lansim: 0.0264 (0.0341) loss_contra: 0.0008 (0.0090) time: 2.9203 data: 0.0061 max mem: 31630 Epoch: [15] [2800/5278] eta: 2:02:48 lr: 3.212739462753072e-05 loss: 0.0866 (0.0908) loss_seg: 0.0863 (0.0904) loss_lansim: 0.0269 (0.0341) loss_contra: 0.0007 (0.0089) time: 2.9253 data: 0.0061 max mem: 31630 Epoch: [15] [2810/5278] eta: 2:02:18 lr: 3.21251557586962e-05 loss: 0.0832 (0.0908) loss_seg: 0.0828 (0.0903) loss_lansim: 0.0271 (0.0341) loss_contra: 0.0008 (0.0089) time: 2.9285 data: 0.0062 max mem: 31630 Epoch: [15] [2820/5278] eta: 2:01:48 lr: 3.212291687252472e-05 loss: 0.0829 (0.0908) loss_seg: 0.0826 (0.0904) loss_lansim: 0.0273 (0.0341) loss_contra: 0.0008 (0.0090) time: 2.9354 data: 0.0062 max mem: 31630 Epoch: [15] [2830/5278] eta: 2:01:17 lr: 3.21206779690148e-05 loss: 0.0869 (0.0909) loss_seg: 0.0866 (0.0904) loss_lansim: 0.0264 (0.0341) loss_contra: 0.0008 (0.0089) time: 2.9372 data: 0.0062 max mem: 31630 Epoch: [15] [2840/5278] eta: 2:00:47 lr: 3.211843904816498e-05 loss: 0.0878 (0.0909) loss_seg: 0.0876 (0.0905) loss_lansim: 0.0272 (0.0340) loss_contra: 0.0009 (0.0089) time: 2.9388 data: 0.0062 max mem: 31630 Epoch: [15] [2850/5278] eta: 2:00:18 lr: 3.211620010997375e-05 loss: 0.0866 (0.0908) loss_seg: 0.0863 (0.0904) loss_lansim: 0.0273 (0.0340) loss_contra: 0.0010 (0.0089) time: 2.9361 data: 0.0062 max mem: 31630 Epoch: [15] [2860/5278] eta: 1:59:48 lr: 3.211396115443967e-05 loss: 0.0866 (0.0909) loss_seg: 0.0863 (0.0904) loss_lansim: 0.0273 (0.0340) loss_contra: 0.0013 (0.0089) time: 2.9366 data: 0.0062 max mem: 31630 Epoch: [15] [2870/5278] eta: 1:59:17 lr: 3.211172218156124e-05 loss: 0.0832 (0.0909) loss_seg: 0.0829 (0.0905) loss_lansim: 0.0274 (0.0340) loss_contra: 0.0013 (0.0089) time: 2.9325 data: 0.0062 max mem: 31630 Epoch: [15] [2880/5278] eta: 1:58:47 lr: 3.2109483191336986e-05 loss: 0.0832 (0.0909) loss_seg: 0.0829 (0.0904) loss_lansim: 0.0277 (0.0340) loss_contra: 0.0013 (0.0089) time: 2.9393 data: 0.0062 max mem: 31630 Epoch: [15] [2890/5278] eta: 1:58:18 lr: 3.210724418376543e-05 loss: 0.0829 (0.0909) loss_seg: 0.0826 (0.0904) loss_lansim: 0.0284 (0.0340) loss_contra: 0.0013 (0.0089) time: 2.9416 data: 0.0062 max mem: 31630 Epoch: [15] [2900/5278] eta: 1:57:48 lr: 3.210500515884509e-05 loss: 0.0832 (0.0909) loss_seg: 0.0829 (0.0905) loss_lansim: 0.0284 (0.0340) loss_contra: 0.0013 (0.0089) time: 2.9388 data: 0.0063 max mem: 31630 Epoch: [15] [2910/5278] eta: 1:57:17 lr: 3.210276611657449e-05 loss: 0.0812 (0.0909) loss_seg: 0.0809 (0.0905) loss_lansim: 0.0290 (0.0340) loss_contra: 0.0013 (0.0089) time: 2.9373 data: 0.0063 max mem: 31630 Epoch: [15] [2920/5278] eta: 1:56:47 lr: 3.2100527056952153e-05 loss: 0.0776 (0.0909) loss_seg: 0.0770 (0.0905) loss_lansim: 0.0294 (0.0339) loss_contra: 0.0012 (0.0089) time: 2.9361 data: 0.0063 max mem: 31630 Epoch: [15] [2930/5278] eta: 1:56:17 lr: 3.2098287979976606e-05 loss: 0.0768 (0.0909) loss_seg: 0.0762 (0.0905) loss_lansim: 0.0299 (0.0339) loss_contra: 0.0012 (0.0089) time: 2.9383 data: 0.0063 max mem: 31630 Epoch: [15] [2940/5278] eta: 1:55:47 lr: 3.209604888564636e-05 loss: 0.0756 (0.0909) loss_seg: 0.0752 (0.0905) loss_lansim: 0.0299 (0.0339) loss_contra: 0.0010 (0.0088) time: 2.9367 data: 0.0063 max mem: 31630 Epoch: [15] [2950/5278] eta: 1:55:17 lr: 3.209380977395993e-05 loss: 0.0778 (0.0909) loss_seg: 0.0775 (0.0905) loss_lansim: 0.0300 (0.0339) loss_contra: 0.0007 (0.0088) time: 2.9318 data: 0.0063 max mem: 31630 Epoch: [15] [2960/5278] eta: 1:54:47 lr: 3.2091570644915844e-05 loss: 0.0778 (0.0909) loss_seg: 0.0775 (0.0905) loss_lansim: 0.0302 (0.0339) loss_contra: 0.0007 (0.0088) time: 2.9266 data: 0.0064 max mem: 31630 Epoch: [15] [2970/5278] eta: 1:54:17 lr: 3.2089331498512624e-05 loss: 0.0778 (0.0909) loss_seg: 0.0775 (0.0905) loss_lansim: 0.0310 (0.0339) loss_contra: 0.0006 (0.0088) time: 2.9316 data: 0.0063 max mem: 31630 Epoch: [15] [2980/5278] eta: 1:53:47 lr: 3.208709233474879e-05 loss: 0.0790 (0.0909) loss_seg: 0.0786 (0.0905) loss_lansim: 0.0308 (0.0339) loss_contra: 0.0007 (0.0088) time: 2.9322 data: 0.0064 max mem: 31630 Epoch: [15] [2990/5278] eta: 1:53:17 lr: 3.208485315362285e-05 loss: 0.0790 (0.0910) loss_seg: 0.0786 (0.0905) loss_lansim: 0.0306 (0.0339) loss_contra: 0.0007 (0.0088) time: 2.9249 data: 0.0064 max mem: 31630 Epoch: [15] [3000/5278] eta: 1:52:47 lr: 3.208261395513334e-05 loss: 0.0737 (0.0909) loss_seg: 0.0734 (0.0905) loss_lansim: 0.0307 (0.0339) loss_contra: 0.0007 (0.0087) time: 2.9310 data: 0.0064 max mem: 31630 Epoch: [15] [3010/5278] eta: 1:52:17 lr: 3.208037473927876e-05 loss: 0.0774 (0.0909) loss_seg: 0.0772 (0.0905) loss_lansim: 0.0308 (0.0339) loss_contra: 0.0006 (0.0087) time: 2.9326 data: 0.0064 max mem: 31630 Epoch: [15] [3020/5278] eta: 1:51:47 lr: 3.207813550605764e-05 loss: 0.0785 (0.0909) loss_seg: 0.0781 (0.0905) loss_lansim: 0.0306 (0.0339) loss_contra: 0.0007 (0.0087) time: 2.9276 data: 0.0063 max mem: 31630 Epoch: [15] [3030/5278] eta: 1:51:17 lr: 3.207589625546851e-05 loss: 0.0810 (0.0909) loss_seg: 0.0807 (0.0905) loss_lansim: 0.0307 (0.0339) loss_contra: 0.0006 (0.0087) time: 2.9356 data: 0.0063 max mem: 31630 Epoch: [15] [3040/5278] eta: 1:50:48 lr: 3.207365698750986e-05 loss: 0.0800 (0.0909) loss_seg: 0.0795 (0.0905) loss_lansim: 0.0310 (0.0339) loss_contra: 0.0006 (0.0086) time: 2.9415 data: 0.0064 max mem: 31630 Epoch: [15] [3050/5278] eta: 1:50:18 lr: 3.207141770218023e-05 loss: 0.0774 (0.0909) loss_seg: 0.0772 (0.0904) loss_lansim: 0.0309 (0.0338) loss_contra: 0.0007 (0.0086) time: 2.9450 data: 0.0064 max mem: 31630 Epoch: [15] [3060/5278] eta: 1:49:49 lr: 3.206917839947812e-05 loss: 0.0785 (0.0909) loss_seg: 0.0781 (0.0905) loss_lansim: 0.0309 (0.0338) loss_contra: 0.0006 (0.0086) time: 2.9540 data: 0.0065 max mem: 31630 Epoch: [15] [3070/5278] eta: 1:49:19 lr: 3.2066939079402064e-05 loss: 0.0809 (0.0909) loss_seg: 0.0806 (0.0905) loss_lansim: 0.0302 (0.0338) loss_contra: 0.0006 (0.0086) time: 2.9637 data: 0.0065 max mem: 31630 Epoch: [15] [3080/5278] eta: 1:48:50 lr: 3.206469974195058e-05 loss: 0.0841 (0.0909) loss_seg: 0.0838 (0.0905) loss_lansim: 0.0308 (0.0338) loss_contra: 0.0005 (0.0086) time: 2.9668 data: 0.0065 max mem: 31630 Epoch: [15] [3090/5278] eta: 1:48:20 lr: 3.206246038712216e-05 loss: 0.0840 (0.0909) loss_seg: 0.0836 (0.0905) loss_lansim: 0.0304 (0.0338) loss_contra: 0.0005 (0.0086) time: 2.9755 data: 0.0066 max mem: 31630 Epoch: [15] [3100/5278] eta: 1:47:51 lr: 3.206022101491535e-05 loss: 0.0850 (0.0909) loss_seg: 0.0847 (0.0905) loss_lansim: 0.0297 (0.0338) loss_contra: 0.0005 (0.0085) time: 2.9808 data: 0.0065 max mem: 31630 Epoch: [15] [3110/5278] eta: 1:47:21 lr: 3.205798162532865e-05 loss: 0.0841 (0.0909) loss_seg: 0.0838 (0.0905) loss_lansim: 0.0295 (0.0338) loss_contra: 0.0005 (0.0085) time: 2.9826 data: 0.0065 max mem: 31630 Epoch: [15] [3120/5278] eta: 1:46:52 lr: 3.205574221836058e-05 loss: 0.0840 (0.0909) loss_seg: 0.0836 (0.0905) loss_lansim: 0.0293 (0.0338) loss_contra: 0.0005 (0.0085) time: 2.9955 data: 0.0065 max mem: 31630 Epoch: [15] [3130/5278] eta: 1:46:22 lr: 3.205350279400966e-05 loss: 0.0804 (0.0909) loss_seg: 0.0802 (0.0905) loss_lansim: 0.0291 (0.0338) loss_contra: 0.0004 (0.0085) time: 2.9943 data: 0.0066 max mem: 31630 Epoch: [15] [3140/5278] eta: 1:45:52 lr: 3.2051263352274404e-05 loss: 0.0804 (0.0908) loss_seg: 0.0802 (0.0904) loss_lansim: 0.0291 (0.0337) loss_contra: 0.0004 (0.0085) time: 2.9906 data: 0.0065 max mem: 31630 Epoch: [15] [3150/5278] eta: 1:45:22 lr: 3.2049023893153316e-05 loss: 0.0809 (0.0908) loss_seg: 0.0806 (0.0904) loss_lansim: 0.0289 (0.0337) loss_contra: 0.0004 (0.0084) time: 2.9920 data: 0.0064 max mem: 31630 Epoch: [15] [3160/5278] eta: 1:44:53 lr: 3.204678441664493e-05 loss: 0.0802 (0.0908) loss_seg: 0.0799 (0.0904) loss_lansim: 0.0289 (0.0337) loss_contra: 0.0004 (0.0084) time: 2.9942 data: 0.0064 max mem: 31630 Epoch: [15] [3170/5278] eta: 1:44:24 lr: 3.204454492274775e-05 loss: 0.0799 (0.0908) loss_seg: 0.0796 (0.0904) loss_lansim: 0.0284 (0.0337) loss_contra: 0.0003 (0.0084) time: 2.9927 data: 0.0064 max mem: 31630 Epoch: [15] [3180/5278] eta: 1:43:54 lr: 3.2042305411460285e-05 loss: 0.0792 (0.0908) loss_seg: 0.0790 (0.0904) loss_lansim: 0.0282 (0.0337) loss_contra: 0.0003 (0.0084) time: 2.9994 data: 0.0064 max mem: 31630 Epoch: [15] [3190/5278] eta: 1:43:25 lr: 3.2040065882781054e-05 loss: 0.0792 (0.0909) loss_seg: 0.0790 (0.0904) loss_lansim: 0.0284 (0.0337) loss_contra: 0.0003 (0.0084) time: 3.0005 data: 0.0063 max mem: 31630 Epoch: [15] [3200/5278] eta: 1:42:55 lr: 3.2037826336708585e-05 loss: 0.0800 (0.0910) loss_seg: 0.0796 (0.0905) loss_lansim: 0.0291 (0.0337) loss_contra: 0.0004 (0.0083) time: 2.9923 data: 0.0063 max mem: 31630 Epoch: [15] [3210/5278] eta: 1:42:25 lr: 3.203558677324138e-05 loss: 0.0797 (0.0910) loss_seg: 0.0795 (0.0905) loss_lansim: 0.0292 (0.0337) loss_contra: 0.0004 (0.0083) time: 2.9944 data: 0.0062 max mem: 31630 Epoch: [15] [3220/5278] eta: 1:41:56 lr: 3.203334719237795e-05 loss: 0.0797 (0.0910) loss_seg: 0.0794 (0.0905) loss_lansim: 0.0296 (0.0336) loss_contra: 0.0005 (0.0083) time: 2.9947 data: 0.0063 max mem: 31630 Epoch: [15] [3230/5278] eta: 1:41:26 lr: 3.203110759411681e-05 loss: 0.0797 (0.0910) loss_seg: 0.0794 (0.0905) loss_lansim: 0.0300 (0.0336) loss_contra: 0.0005 (0.0083) time: 2.9939 data: 0.0063 max mem: 31630 Epoch: [15] [3240/5278] eta: 1:40:57 lr: 3.2028867978456476e-05 loss: 0.0790 (0.0909) loss_seg: 0.0786 (0.0905) loss_lansim: 0.0296 (0.0336) loss_contra: 0.0005 (0.0083) time: 2.9959 data: 0.0064 max mem: 31630 Epoch: [15] [3250/5278] eta: 1:40:27 lr: 3.202662834539546e-05 loss: 0.0790 (0.0909) loss_seg: 0.0786 (0.0905) loss_lansim: 0.0301 (0.0336) loss_contra: 0.0005 (0.0083) time: 3.0037 data: 0.0064 max mem: 31630 Epoch: [15] [3260/5278] eta: 1:39:58 lr: 3.2024388694932276e-05 loss: 0.0800 (0.0910) loss_seg: 0.0796 (0.0905) loss_lansim: 0.0300 (0.0336) loss_contra: 0.0005 (0.0082) time: 2.9995 data: 0.0064 max mem: 31630 Epoch: [15] [3270/5278] eta: 1:39:28 lr: 3.2022149027065434e-05 loss: 0.0800 (0.0910) loss_seg: 0.0796 (0.0905) loss_lansim: 0.0301 (0.0336) loss_contra: 0.0006 (0.0082) time: 3.0034 data: 0.0065 max mem: 31630 Epoch: [15] [3280/5278] eta: 1:38:59 lr: 3.201990934179345e-05 loss: 0.0820 (0.0910) loss_seg: 0.0817 (0.0906) loss_lansim: 0.0304 (0.0336) loss_contra: 0.0006 (0.0082) time: 2.9971 data: 0.0065 max mem: 31630 Epoch: [15] [3290/5278] eta: 1:38:29 lr: 3.201766963911483e-05 loss: 0.0821 (0.0910) loss_seg: 0.0818 (0.0906) loss_lansim: 0.0304 (0.0336) loss_contra: 0.0006 (0.0082) time: 2.9893 data: 0.0064 max mem: 31630 Epoch: [15] [3300/5278] eta: 1:37:59 lr: 3.2015429919028096e-05 loss: 0.0821 (0.0911) loss_seg: 0.0818 (0.0907) loss_lansim: 0.0303 (0.0336) loss_contra: 0.0006 (0.0082) time: 2.9977 data: 0.0064 max mem: 31630 Epoch: [15] [3310/5278] eta: 1:37:30 lr: 3.201319018153175e-05 loss: 0.0827 (0.0911) loss_seg: 0.0823 (0.0907) loss_lansim: 0.0303 (0.0336) loss_contra: 0.0007 (0.0082) time: 3.0030 data: 0.0065 max mem: 31630 Epoch: [15] [3320/5278] eta: 1:37:00 lr: 3.201095042662431e-05 loss: 0.0821 (0.0911) loss_seg: 0.0818 (0.0907) loss_lansim: 0.0303 (0.0336) loss_contra: 0.0008 (0.0083) time: 2.9967 data: 0.0064 max mem: 31630 Epoch: [15] [3330/5278] eta: 1:36:31 lr: 3.2008710654304266e-05 loss: 0.0853 (0.0912) loss_seg: 0.0849 (0.0907) loss_lansim: 0.0308 (0.0336) loss_contra: 0.0008 (0.0083) time: 2.9996 data: 0.0063 max mem: 31630 Epoch: [15] [3340/5278] eta: 1:36:01 lr: 3.2006470864570165e-05 loss: 0.0860 (0.0911) loss_seg: 0.0856 (0.0907) loss_lansim: 0.0313 (0.0336) loss_contra: 0.0008 (0.0083) time: 2.9956 data: 0.0061 max mem: 31630 Epoch: [15] [3350/5278] eta: 1:35:32 lr: 3.200423105742049e-05 loss: 0.0860 (0.0911) loss_seg: 0.0856 (0.0907) loss_lansim: 0.0313 (0.0336) loss_contra: 0.0008 (0.0083) time: 2.9987 data: 0.0060 max mem: 31630 Epoch: [15] [3360/5278] eta: 1:35:02 lr: 3.200199123285376e-05 loss: 0.0853 (0.0912) loss_seg: 0.0849 (0.0908) loss_lansim: 0.0313 (0.0336) loss_contra: 0.0009 (0.0083) time: 2.9995 data: 0.0059 max mem: 31630 Epoch: [15] [3370/5278] eta: 1:34:32 lr: 3.1999751390868494e-05 loss: 0.0853 (0.0912) loss_seg: 0.0849 (0.0908) loss_lansim: 0.0315 (0.0336) loss_contra: 0.0008 (0.0082) time: 2.9871 data: 0.0059 max mem: 31630 Epoch: [15] [3380/5278] eta: 1:34:03 lr: 3.199751153146318e-05 loss: 0.0860 (0.0912) loss_seg: 0.0856 (0.0908) loss_lansim: 0.0316 (0.0336) loss_contra: 0.0009 (0.0082) time: 2.9958 data: 0.0058 max mem: 31630 Epoch: [15] [3390/5278] eta: 1:33:33 lr: 3.199527165463635e-05 loss: 0.0888 (0.0912) loss_seg: 0.0885 (0.0908) loss_lansim: 0.0318 (0.0336) loss_contra: 0.0009 (0.0082) time: 3.0000 data: 0.0058 max mem: 31630 Epoch: [15] [3400/5278] eta: 1:33:03 lr: 3.1993031760386506e-05 loss: 0.0866 (0.0913) loss_seg: 0.0863 (0.0909) loss_lansim: 0.0316 (0.0336) loss_contra: 0.0008 (0.0082) time: 2.9936 data: 0.0058 max mem: 31630 Epoch: [15] [3410/5278] eta: 1:32:34 lr: 3.199079184871214e-05 loss: 0.0866 (0.0912) loss_seg: 0.0863 (0.0908) loss_lansim: 0.0314 (0.0336) loss_contra: 0.0008 (0.0082) time: 2.9912 data: 0.0057 max mem: 31630 Epoch: [15] [3420/5278] eta: 1:32:04 lr: 3.1988551919611785e-05 loss: 0.0888 (0.0912) loss_seg: 0.0885 (0.0908) loss_lansim: 0.0311 (0.0336) loss_contra: 0.0008 (0.0082) time: 2.9923 data: 0.0057 max mem: 31630 Epoch: [15] [3430/5278] eta: 1:31:34 lr: 3.1986311973083944e-05 loss: 0.0866 (0.0913) loss_seg: 0.0863 (0.0909) loss_lansim: 0.0309 (0.0336) loss_contra: 0.0008 (0.0082) time: 2.9813 data: 0.0057 max mem: 31630 Epoch: [15] [3440/5278] eta: 1:31:04 lr: 3.198407200912711e-05 loss: 0.0868 (0.0913) loss_seg: 0.0864 (0.0909) loss_lansim: 0.0306 (0.0336) loss_contra: 0.0008 (0.0082) time: 2.9760 data: 0.0058 max mem: 31630 Epoch: [15] [3450/5278] eta: 1:30:33 lr: 3.1981832027739814e-05 loss: 0.0867 (0.0913) loss_seg: 0.0863 (0.0909) loss_lansim: 0.0307 (0.0335) loss_contra: 0.0008 (0.0082) time: 2.9537 data: 0.0058 max mem: 31630 Epoch: [15] [3460/5278] eta: 1:30:03 lr: 3.1979592028920543e-05 loss: 0.0867 (0.0914) loss_seg: 0.0863 (0.0910) loss_lansim: 0.0308 (0.0335) loss_contra: 0.0009 (0.0083) time: 2.9439 data: 0.0057 max mem: 31630 Epoch: [15] [3470/5278] eta: 1:29:33 lr: 3.197735201266783e-05 loss: 0.0868 (0.0915) loss_seg: 0.0864 (0.0911) loss_lansim: 0.0307 (0.0335) loss_contra: 0.0011 (0.0083) time: 2.9369 data: 0.0057 max mem: 31630 Epoch: [15] [3480/5278] eta: 1:29:02 lr: 3.197511197898016e-05 loss: 0.0846 (0.0915) loss_seg: 0.0834 (0.0910) loss_lansim: 0.0305 (0.0335) loss_contra: 0.0010 (0.0084) time: 2.9118 data: 0.0057 max mem: 31630 Epoch: [15] [3490/5278] eta: 1:28:32 lr: 3.197287192785604e-05 loss: 0.0826 (0.0915) loss_seg: 0.0815 (0.0911) loss_lansim: 0.0304 (0.0335) loss_contra: 0.0010 (0.0084) time: 2.8965 data: 0.0056 max mem: 31630 Epoch: [15] [3500/5278] eta: 1:28:02 lr: 3.197063185929399e-05 loss: 0.0837 (0.0915) loss_seg: 0.0822 (0.0911) loss_lansim: 0.0305 (0.0335) loss_contra: 0.0013 (0.0084) time: 2.8923 data: 0.0057 max mem: 31630 Epoch: [15] [3510/5278] eta: 1:27:32 lr: 3.196839177329251e-05 loss: 0.0872 (0.0915) loss_seg: 0.0870 (0.0911) loss_lansim: 0.0307 (0.0335) loss_contra: 0.0015 (0.0085) time: 2.8792 data: 0.0058 max mem: 31630 Epoch: [15] [3520/5278] eta: 1:27:01 lr: 3.1966151669850106e-05 loss: 0.0878 (0.0916) loss_seg: 0.0874 (0.0911) loss_lansim: 0.0307 (0.0335) loss_contra: 0.0015 (0.0085) time: 2.8685 data: 0.0058 max mem: 31630 Epoch: [15] [3530/5278] eta: 1:26:31 lr: 3.196391154896529e-05 loss: 0.0882 (0.0916) loss_seg: 0.0879 (0.0911) loss_lansim: 0.0306 (0.0335) loss_contra: 0.0015 (0.0086) time: 2.8662 data: 0.0059 max mem: 31630 Epoch: [15] [3540/5278] eta: 1:26:01 lr: 3.196167141063655e-05 loss: 0.0892 (0.0916) loss_seg: 0.0889 (0.0912) loss_lansim: 0.0306 (0.0335) loss_contra: 0.0015 (0.0085) time: 2.8612 data: 0.0059 max mem: 31630 Epoch: [15] [3550/5278] eta: 1:25:31 lr: 3.195943125486242e-05 loss: 0.0892 (0.0916) loss_seg: 0.0889 (0.0912) loss_lansim: 0.0306 (0.0335) loss_contra: 0.0016 (0.0085) time: 2.8588 data: 0.0059 max mem: 31630 Epoch: [15] [3560/5278] eta: 1:25:01 lr: 3.1957191081641374e-05 loss: 0.0892 (0.0916) loss_seg: 0.0889 (0.0912) loss_lansim: 0.0306 (0.0335) loss_contra: 0.0015 (0.0085) time: 2.8614 data: 0.0059 max mem: 31630 Epoch: [15] [3570/5278] eta: 1:24:31 lr: 3.195495089097194e-05 loss: 0.0892 (0.0916) loss_seg: 0.0889 (0.0912) loss_lansim: 0.0305 (0.0335) loss_contra: 0.0014 (0.0085) time: 2.8670 data: 0.0060 max mem: 31630 Epoch: [15] [3580/5278] eta: 1:24:00 lr: 3.195271068285262e-05 loss: 0.0913 (0.0916) loss_seg: 0.0909 (0.0912) loss_lansim: 0.0305 (0.0335) loss_contra: 0.0016 (0.0085) time: 2.8701 data: 0.0060 max mem: 31630 Epoch: [15] [3590/5278] eta: 1:23:30 lr: 3.1950470457281914e-05 loss: 0.0913 (0.0916) loss_seg: 0.0909 (0.0912) loss_lansim: 0.0310 (0.0335) loss_contra: 0.0017 (0.0085) time: 2.8720 data: 0.0060 max mem: 31630 Epoch: [15] [3600/5278] eta: 1:23:00 lr: 3.194823021425833e-05 loss: 0.0913 (0.0916) loss_seg: 0.0909 (0.0912) loss_lansim: 0.0310 (0.0335) loss_contra: 0.0016 (0.0085) time: 2.8738 data: 0.0060 max mem: 31630 Epoch: [15] [3610/5278] eta: 1:22:30 lr: 3.194598995378036e-05 loss: 0.0892 (0.0916) loss_seg: 0.0889 (0.0912) loss_lansim: 0.0310 (0.0335) loss_contra: 0.0016 (0.0085) time: 2.8755 data: 0.0059 max mem: 31630 Epoch: [15] [3620/5278] eta: 1:22:00 lr: 3.194374967584652e-05 loss: 0.0832 (0.0916) loss_seg: 0.0829 (0.0912) loss_lansim: 0.0320 (0.0335) loss_contra: 0.0014 (0.0084) time: 2.8748 data: 0.0058 max mem: 31630 Epoch: [15] [3630/5278] eta: 1:21:30 lr: 3.194150938045532e-05 loss: 0.0839 (0.0916) loss_seg: 0.0836 (0.0912) loss_lansim: 0.0325 (0.0335) loss_contra: 0.0014 (0.0084) time: 2.8742 data: 0.0057 max mem: 31630 Epoch: [15] [3640/5278] eta: 1:21:00 lr: 3.1939269067605246e-05 loss: 0.0814 (0.0916) loss_seg: 0.0810 (0.0911) loss_lansim: 0.0333 (0.0335) loss_contra: 0.0013 (0.0084) time: 2.8737 data: 0.0057 max mem: 31630 Epoch: [15] [3650/5278] eta: 1:20:29 lr: 3.1937028737294814e-05 loss: 0.0841 (0.0916) loss_seg: 0.0838 (0.0912) loss_lansim: 0.0337 (0.0335) loss_contra: 0.0012 (0.0084) time: 2.8752 data: 0.0057 max mem: 31630 Epoch: [15] [3660/5278] eta: 1:19:59 lr: 3.193478838952253e-05 loss: 0.0839 (0.0916) loss_seg: 0.0836 (0.0911) loss_lansim: 0.0346 (0.0335) loss_contra: 0.0011 (0.0084) time: 2.8687 data: 0.0057 max mem: 31630 Epoch: [15] [3670/5278] eta: 1:19:29 lr: 3.193254802428688e-05 loss: 0.0841 (0.0916) loss_seg: 0.0838 (0.0912) loss_lansim: 0.0353 (0.0336) loss_contra: 0.0012 (0.0084) time: 2.8580 data: 0.0057 max mem: 31630 Epoch: [15] [3680/5278] eta: 1:18:59 lr: 3.1930307641586374e-05 loss: 0.0852 (0.0917) loss_seg: 0.0848 (0.0913) loss_lansim: 0.0358 (0.0336) loss_contra: 0.0010 (0.0084) time: 2.8590 data: 0.0056 max mem: 31630 Epoch: [15] [3690/5278] eta: 1:18:29 lr: 3.192806724141952e-05 loss: 0.0861 (0.0917) loss_seg: 0.0854 (0.0913) loss_lansim: 0.0362 (0.0336) loss_contra: 0.0008 (0.0083) time: 2.8581 data: 0.0057 max mem: 31630 Epoch: [15] [3700/5278] eta: 1:17:59 lr: 3.192582682378482e-05 loss: 0.0881 (0.0917) loss_seg: 0.0878 (0.0913) loss_lansim: 0.0369 (0.0336) loss_contra: 0.0009 (0.0083) time: 2.8547 data: 0.0057 max mem: 31630 Epoch: [15] [3710/5278] eta: 1:17:29 lr: 3.1923586388680775e-05 loss: 0.0881 (0.0917) loss_seg: 0.0878 (0.0913) loss_lansim: 0.0373 (0.0336) loss_contra: 0.0008 (0.0083) time: 2.8576 data: 0.0057 max mem: 31630 Epoch: [15] [3720/5278] eta: 1:16:59 lr: 3.192134593610588e-05 loss: 0.0861 (0.0917) loss_seg: 0.0854 (0.0913) loss_lansim: 0.0381 (0.0336) loss_contra: 0.0008 (0.0083) time: 2.8559 data: 0.0057 max mem: 31630 Epoch: [15] [3730/5278] eta: 1:16:28 lr: 3.191910546605863e-05 loss: 0.0852 (0.0917) loss_seg: 0.0848 (0.0913) loss_lansim: 0.0381 (0.0336) loss_contra: 0.0008 (0.0083) time: 2.8572 data: 0.0057 max mem: 31630 Epoch: [15] [3740/5278] eta: 1:15:59 lr: 3.191686497853756e-05 loss: 0.0890 (0.0917) loss_seg: 0.0886 (0.0913) loss_lansim: 0.0381 (0.0336) loss_contra: 0.0007 (0.0083) time: 2.8617 data: 0.0057 max mem: 31630 Epoch: [15] [3750/5278] eta: 1:15:28 lr: 3.191462447354112e-05 loss: 0.0851 (0.0917) loss_seg: 0.0848 (0.0912) loss_lansim: 0.0373 (0.0337) loss_contra: 0.0007 (0.0082) time: 2.8627 data: 0.0057 max mem: 31630 Epoch: [15] [3760/5278] eta: 1:14:58 lr: 3.1912383951067854e-05 loss: 0.0858 (0.0917) loss_seg: 0.0854 (0.0913) loss_lansim: 0.0373 (0.0337) loss_contra: 0.0007 (0.0082) time: 2.8650 data: 0.0057 max mem: 31630 Epoch: [15] [3770/5278] eta: 1:14:29 lr: 3.1910143411116246e-05 loss: 0.0836 (0.0917) loss_seg: 0.0832 (0.0913) loss_lansim: 0.0376 (0.0337) loss_contra: 0.0005 (0.0082) time: 2.8750 data: 0.0057 max mem: 31630 Epoch: [15] [3780/5278] eta: 1:13:59 lr: 3.1907902853684784e-05 loss: 0.0809 (0.0917) loss_seg: 0.0805 (0.0912) loss_lansim: 0.0369 (0.0337) loss_contra: 0.0006 (0.0082) time: 2.8754 data: 0.0057 max mem: 31630 Epoch: [15] [3790/5278] eta: 1:13:28 lr: 3.190566227877199e-05 loss: 0.0815 (0.0917) loss_seg: 0.0812 (0.0913) loss_lansim: 0.0367 (0.0337) loss_contra: 0.0007 (0.0082) time: 2.8698 data: 0.0057 max mem: 31630 Epoch: [15] [3800/5278] eta: 1:12:58 lr: 3.190342168637635e-05 loss: 0.0809 (0.0917) loss_seg: 0.0805 (0.0912) loss_lansim: 0.0357 (0.0337) loss_contra: 0.0007 (0.0082) time: 2.8650 data: 0.0056 max mem: 31630 Epoch: [15] [3810/5278] eta: 1:12:28 lr: 3.1901181076496366e-05 loss: 0.0809 (0.0917) loss_seg: 0.0805 (0.0913) loss_lansim: 0.0356 (0.0337) loss_contra: 0.0007 (0.0082) time: 2.8580 data: 0.0056 max mem: 31630 Epoch: [15] [3820/5278] eta: 1:11:58 lr: 3.189894044913054e-05 loss: 0.0822 (0.0917) loss_seg: 0.0818 (0.0913) loss_lansim: 0.0347 (0.0337) loss_contra: 0.0007 (0.0082) time: 2.8581 data: 0.0056 max mem: 31630 Epoch: [15] [3830/5278] eta: 1:11:28 lr: 3.1896699804277366e-05 loss: 0.0828 (0.0917) loss_seg: 0.0824 (0.0913) loss_lansim: 0.0346 (0.0337) loss_contra: 0.0006 (0.0081) time: 2.8608 data: 0.0056 max mem: 31630 Epoch: [15] [3840/5278] eta: 1:10:58 lr: 3.1894459141935345e-05 loss: 0.0828 (0.0917) loss_seg: 0.0824 (0.0913) loss_lansim: 0.0346 (0.0337) loss_contra: 0.0006 (0.0081) time: 2.8587 data: 0.0056 max mem: 31630 Epoch: [15] [3850/5278] eta: 1:10:28 lr: 3.1892218462102973e-05 loss: 0.0833 (0.0917) loss_seg: 0.0829 (0.0913) loss_lansim: 0.0338 (0.0337) loss_contra: 0.0006 (0.0081) time: 2.8592 data: 0.0056 max mem: 31630 Epoch: [15] [3860/5278] eta: 1:09:58 lr: 3.1889977764778755e-05 loss: 0.0834 (0.0918) loss_seg: 0.0831 (0.0914) loss_lansim: 0.0335 (0.0337) loss_contra: 0.0007 (0.0081) time: 2.8640 data: 0.0056 max mem: 31630 Epoch: [15] [3870/5278] eta: 1:09:28 lr: 3.1887737049961186e-05 loss: 0.0851 (0.0918) loss_seg: 0.0848 (0.0914) loss_lansim: 0.0328 (0.0337) loss_contra: 0.0006 (0.0081) time: 2.8609 data: 0.0056 max mem: 31630 Epoch: [15] [3880/5278] eta: 1:08:58 lr: 3.1885496317648754e-05 loss: 0.0863 (0.0918) loss_seg: 0.0860 (0.0914) loss_lansim: 0.0333 (0.0337) loss_contra: 0.0007 (0.0082) time: 2.8581 data: 0.0056 max mem: 31630 Epoch: [15] [3890/5278] eta: 1:08:29 lr: 3.188325556783996e-05 loss: 0.0863 (0.0918) loss_seg: 0.0860 (0.0913) loss_lansim: 0.0338 (0.0337) loss_contra: 0.0007 (0.0082) time: 2.8672 data: 0.0056 max mem: 31630 Epoch: [15] [3900/5278] eta: 1:07:59 lr: 3.1881014800533326e-05 loss: 0.0863 (0.0918) loss_seg: 0.0860 (0.0913) loss_lansim: 0.0342 (0.0337) loss_contra: 0.0006 (0.0081) time: 2.8755 data: 0.0056 max mem: 31630 Epoch: [15] [3910/5278] eta: 1:07:29 lr: 3.187877401572731e-05 loss: 0.0870 (0.0917) loss_seg: 0.0866 (0.0913) loss_lansim: 0.0337 (0.0337) loss_contra: 0.0006 (0.0081) time: 2.8784 data: 0.0056 max mem: 31630 Epoch: [15] [3920/5278] eta: 1:06:59 lr: 3.1876533213420436e-05 loss: 0.0845 (0.0917) loss_seg: 0.0842 (0.0913) loss_lansim: 0.0337 (0.0337) loss_contra: 0.0006 (0.0081) time: 2.8779 data: 0.0056 max mem: 31630 Epoch: [15] [3930/5278] eta: 1:06:29 lr: 3.187429239361118e-05 loss: 0.0822 (0.0916) loss_seg: 0.0819 (0.0912) loss_lansim: 0.0339 (0.0337) loss_contra: 0.0007 (0.0081) time: 2.8769 data: 0.0058 max mem: 31630 Epoch: [15] [3940/5278] eta: 1:05:59 lr: 3.187205155629805e-05 loss: 0.0810 (0.0916) loss_seg: 0.0806 (0.0912) loss_lansim: 0.0342 (0.0337) loss_contra: 0.0007 (0.0081) time: 2.8756 data: 0.0059 max mem: 31630 Epoch: [15] [3950/5278] eta: 1:05:29 lr: 3.1869810701479556e-05 loss: 0.0838 (0.0917) loss_seg: 0.0834 (0.0913) loss_lansim: 0.0341 (0.0337) loss_contra: 0.0008 (0.0081) time: 2.8727 data: 0.0061 max mem: 31630 Epoch: [15] [3960/5278] eta: 1:04:59 lr: 3.1867569829154164e-05 loss: 0.0810 (0.0917) loss_seg: 0.0806 (0.0913) loss_lansim: 0.0347 (0.0337) loss_contra: 0.0006 (0.0081) time: 2.8649 data: 0.0062 max mem: 31630 Epoch: [15] [3970/5278] eta: 1:04:29 lr: 3.18653289393204e-05 loss: 0.0802 (0.0917) loss_seg: 0.0799 (0.0913) loss_lansim: 0.0349 (0.0337) loss_contra: 0.0006 (0.0081) time: 2.8621 data: 0.0063 max mem: 31630 Epoch: [15] [3980/5278] eta: 1:03:59 lr: 3.1863088031976724e-05 loss: 0.0815 (0.0917) loss_seg: 0.0811 (0.0913) loss_lansim: 0.0351 (0.0337) loss_contra: 0.0005 (0.0081) time: 2.8643 data: 0.0063 max mem: 31630 Epoch: [15] [3990/5278] eta: 1:03:29 lr: 3.1860847107121655e-05 loss: 0.0838 (0.0917) loss_seg: 0.0834 (0.0913) loss_lansim: 0.0351 (0.0337) loss_contra: 0.0005 (0.0080) time: 2.8592 data: 0.0063 max mem: 31630 Epoch: [15] [4000/5278] eta: 1:02:59 lr: 3.185860616475369e-05 loss: 0.0838 (0.0917) loss_seg: 0.0834 (0.0913) loss_lansim: 0.0351 (0.0338) loss_contra: 0.0005 (0.0080) time: 2.8548 data: 0.0063 max mem: 31630 Epoch: [15] [4010/5278] eta: 1:02:30 lr: 3.185636520487131e-05 loss: 0.0848 (0.0917) loss_seg: 0.0844 (0.0913) loss_lansim: 0.0359 (0.0338) loss_contra: 0.0005 (0.0080) time: 2.8577 data: 0.0064 max mem: 31630 Epoch: [15] [4020/5278] eta: 1:02:00 lr: 3.185412422747301e-05 loss: 0.0871 (0.0917) loss_seg: 0.0868 (0.0913) loss_lansim: 0.0362 (0.0338) loss_contra: 0.0005 (0.0080) time: 2.8646 data: 0.0064 max mem: 31630 Epoch: [15] [4030/5278] eta: 1:01:30 lr: 3.1851883232557306e-05 loss: 0.0900 (0.0917) loss_seg: 0.0895 (0.0913) loss_lansim: 0.0369 (0.0338) loss_contra: 0.0004 (0.0080) time: 2.8640 data: 0.0062 max mem: 31630 Epoch: [15] [4040/5278] eta: 1:01:00 lr: 3.1849642220122656e-05 loss: 0.0892 (0.0916) loss_seg: 0.0887 (0.0912) loss_lansim: 0.0373 (0.0338) loss_contra: 0.0005 (0.0080) time: 2.8604 data: 0.0061 max mem: 31630 Epoch: [15] [4050/5278] eta: 1:00:30 lr: 3.184740119016759e-05 loss: 0.0851 (0.0916) loss_seg: 0.0848 (0.0912) loss_lansim: 0.0378 (0.0338) loss_contra: 0.0004 (0.0080) time: 2.8608 data: 0.0059 max mem: 31630 Epoch: [15] [4060/5278] eta: 1:00:00 lr: 3.184516014269057e-05 loss: 0.0851 (0.0916) loss_seg: 0.0848 (0.0912) loss_lansim: 0.0377 (0.0338) loss_contra: 0.0005 (0.0079) time: 2.8610 data: 0.0057 max mem: 31630 Epoch: [15] [4070/5278] eta: 0:59:30 lr: 3.18429190776901e-05 loss: 0.0865 (0.0917) loss_seg: 0.0860 (0.0913) loss_lansim: 0.0378 (0.0338) loss_contra: 0.0005 (0.0079) time: 2.8649 data: 0.0056 max mem: 31630 Epoch: [15] [4080/5278] eta: 0:59:01 lr: 3.184067799516468e-05 loss: 0.0895 (0.0918) loss_seg: 0.0891 (0.0914) loss_lansim: 0.0379 (0.0339) loss_contra: 0.0005 (0.0079) time: 2.8633 data: 0.0056 max mem: 31630 Epoch: [15] [4090/5278] eta: 0:58:31 lr: 3.18384368951128e-05 loss: 0.0892 (0.0918) loss_seg: 0.0887 (0.0914) loss_lansim: 0.0380 (0.0339) loss_contra: 0.0005 (0.0079) time: 2.8658 data: 0.0056 max mem: 31630 Epoch: [15] [4100/5278] eta: 0:58:01 lr: 3.1836195777532943e-05 loss: 0.0895 (0.0918) loss_seg: 0.0891 (0.0914) loss_lansim: 0.0380 (0.0339) loss_contra: 0.0005 (0.0079) time: 2.8645 data: 0.0056 max mem: 31630 Epoch: [15] [4110/5278] eta: 0:57:31 lr: 3.1833954642423616e-05 loss: 0.0892 (0.0918) loss_seg: 0.0887 (0.0914) loss_lansim: 0.0377 (0.0339) loss_contra: 0.0005 (0.0079) time: 2.8579 data: 0.0056 max mem: 31630 Epoch: [15] [4120/5278] eta: 0:57:01 lr: 3.183171348978329e-05 loss: 0.0889 (0.0918) loss_seg: 0.0886 (0.0914) loss_lansim: 0.0377 (0.0339) loss_contra: 0.0006 (0.0079) time: 2.8527 data: 0.0056 max mem: 31630 Epoch: [15] [4130/5278] eta: 0:56:31 lr: 3.1829472319610475e-05 loss: 0.0889 (0.0918) loss_seg: 0.0886 (0.0914) loss_lansim: 0.0377 (0.0339) loss_contra: 0.0009 (0.0080) time: 2.8502 data: 0.0056 max mem: 31630 Epoch: [15] [4140/5278] eta: 0:56:02 lr: 3.1827231131903654e-05 loss: 0.0909 (0.0918) loss_seg: 0.0905 (0.0914) loss_lansim: 0.0377 (0.0340) loss_contra: 0.0009 (0.0080) time: 2.8532 data: 0.0056 max mem: 31630 Epoch: [15] [4150/5278] eta: 0:55:32 lr: 3.182498992666132e-05 loss: 0.0927 (0.0919) loss_seg: 0.0924 (0.0915) loss_lansim: 0.0380 (0.0340) loss_contra: 0.0012 (0.0080) time: 2.8548 data: 0.0056 max mem: 31630 Epoch: [15] [4160/5278] eta: 0:55:02 lr: 3.182274870388197e-05 loss: 0.0931 (0.0919) loss_seg: 0.0927 (0.0915) loss_lansim: 0.0394 (0.0340) loss_contra: 0.0013 (0.0080) time: 2.8505 data: 0.0056 max mem: 31630 Epoch: [15] [4170/5278] eta: 0:54:32 lr: 3.1820507463564067e-05 loss: 0.0931 (0.0919) loss_seg: 0.0927 (0.0915) loss_lansim: 0.0409 (0.0341) loss_contra: 0.0014 (0.0080) time: 2.8489 data: 0.0056 max mem: 31630 Epoch: [15] [4180/5278] eta: 0:54:02 lr: 3.181826620570614e-05 loss: 0.0927 (0.0919) loss_seg: 0.0924 (0.0915) loss_lansim: 0.0412 (0.0341) loss_contra: 0.0014 (0.0080) time: 2.8471 data: 0.0056 max mem: 31630 Epoch: [15] [4190/5278] eta: 0:53:32 lr: 3.1816024930306654e-05 loss: 0.0931 (0.0919) loss_seg: 0.0927 (0.0915) loss_lansim: 0.0414 (0.0341) loss_contra: 0.0014 (0.0080) time: 2.8458 data: 0.0056 max mem: 31630 Epoch: [15] [4200/5278] eta: 0:53:03 lr: 3.18137836373641e-05 loss: 0.0931 (0.0919) loss_seg: 0.0926 (0.0915) loss_lansim: 0.0427 (0.0341) loss_contra: 0.0014 (0.0080) time: 2.8563 data: 0.0056 max mem: 31630 Epoch: [15] [4210/5278] eta: 0:52:33 lr: 3.181154232687699e-05 loss: 0.0928 (0.0919) loss_seg: 0.0923 (0.0915) loss_lansim: 0.0433 (0.0342) loss_contra: 0.0015 (0.0080) time: 2.8599 data: 0.0057 max mem: 31630 Epoch: [15] [4220/5278] eta: 0:52:03 lr: 3.1809300998843776e-05 loss: 0.0928 (0.0919) loss_seg: 0.0923 (0.0914) loss_lansim: 0.0438 (0.0342) loss_contra: 0.0014 (0.0080) time: 2.8601 data: 0.0057 max mem: 31630 Epoch: [15] [4230/5278] eta: 0:51:34 lr: 3.180705965326298e-05 loss: 0.0923 (0.0919) loss_seg: 0.0918 (0.0914) loss_lansim: 0.0442 (0.0342) loss_contra: 0.0012 (0.0080) time: 2.8563 data: 0.0057 max mem: 31630 Epoch: [15] [4240/5278] eta: 0:51:04 lr: 3.180481829013307e-05 loss: 0.0924 (0.0919) loss_seg: 0.0918 (0.0915) loss_lansim: 0.0444 (0.0342) loss_contra: 0.0010 (0.0080) time: 2.8541 data: 0.0057 max mem: 31630 Epoch: [15] [4250/5278] eta: 0:50:34 lr: 3.180257690945254e-05 loss: 0.0941 (0.0920) loss_seg: 0.0936 (0.0915) loss_lansim: 0.0443 (0.0343) loss_contra: 0.0009 (0.0080) time: 2.8566 data: 0.0058 max mem: 31630 Epoch: [15] [4260/5278] eta: 0:50:04 lr: 3.180033551121989e-05 loss: 0.0944 (0.0920) loss_seg: 0.0940 (0.0916) loss_lansim: 0.0433 (0.0343) loss_contra: 0.0008 (0.0080) time: 2.8635 data: 0.0058 max mem: 31630 Epoch: [15] [4270/5278] eta: 0:49:35 lr: 3.179809409543359e-05 loss: 0.0948 (0.0920) loss_seg: 0.0943 (0.0916) loss_lansim: 0.0427 (0.0343) loss_contra: 0.0009 (0.0080) time: 2.8658 data: 0.0058 max mem: 31630 Epoch: [15] [4280/5278] eta: 0:49:05 lr: 3.179585266209213e-05 loss: 0.0944 (0.0920) loss_seg: 0.0938 (0.0916) loss_lansim: 0.0421 (0.0343) loss_contra: 0.0009 (0.0080) time: 2.8679 data: 0.0059 max mem: 31630 Epoch: [15] [4290/5278] eta: 0:48:35 lr: 3.179361121119402e-05 loss: 0.0934 (0.0920) loss_seg: 0.0930 (0.0916) loss_lansim: 0.0419 (0.0343) loss_contra: 0.0009 (0.0080) time: 2.8639 data: 0.0059 max mem: 31630 Epoch: [15] [4300/5278] eta: 0:48:05 lr: 3.1791369742737717e-05 loss: 0.0934 (0.0920) loss_seg: 0.0930 (0.0916) loss_lansim: 0.0411 (0.0344) loss_contra: 0.0008 (0.0080) time: 2.8535 data: 0.0059 max mem: 31630 Epoch: [15] [4310/5278] eta: 0:47:36 lr: 3.178912825672172e-05 loss: 0.0940 (0.0920) loss_seg: 0.0934 (0.0916) loss_lansim: 0.0406 (0.0344) loss_contra: 0.0009 (0.0079) time: 2.8528 data: 0.0059 max mem: 31630 Epoch: [15] [4320/5278] eta: 0:47:06 lr: 3.178688675314453e-05 loss: 0.0943 (0.0920) loss_seg: 0.0935 (0.0916) loss_lansim: 0.0405 (0.0344) loss_contra: 0.0009 (0.0080) time: 2.8494 data: 0.0059 max mem: 31630 Epoch: [15] [4330/5278] eta: 0:46:36 lr: 3.17846452320046e-05 loss: 0.0934 (0.0920) loss_seg: 0.0930 (0.0915) loss_lansim: 0.0398 (0.0344) loss_contra: 0.0009 (0.0080) time: 2.8568 data: 0.0059 max mem: 31630 Epoch: [15] [4340/5278] eta: 0:46:06 lr: 3.1782403693300456e-05 loss: 0.0934 (0.0920) loss_seg: 0.0930 (0.0915) loss_lansim: 0.0397 (0.0344) loss_contra: 0.0010 (0.0080) time: 2.8575 data: 0.0060 max mem: 31630 Epoch: [15] [4350/5278] eta: 0:45:37 lr: 3.178016213703055e-05 loss: 0.0844 (0.0920) loss_seg: 0.0840 (0.0915) loss_lansim: 0.0396 (0.0344) loss_contra: 0.0010 (0.0080) time: 2.8540 data: 0.0059 max mem: 31630 Epoch: [15] [4360/5278] eta: 0:45:07 lr: 3.177792056319339e-05 loss: 0.0819 (0.0919) loss_seg: 0.0815 (0.0915) loss_lansim: 0.0396 (0.0344) loss_contra: 0.0012 (0.0080) time: 2.8507 data: 0.0059 max mem: 31630 Epoch: [15] [4370/5278] eta: 0:44:37 lr: 3.177567897178745e-05 loss: 0.0802 (0.0919) loss_seg: 0.0798 (0.0915) loss_lansim: 0.0396 (0.0344) loss_contra: 0.0012 (0.0079) time: 2.8410 data: 0.0059 max mem: 31630 Epoch: [15] [4380/5278] eta: 0:44:08 lr: 3.1773437362811226e-05 loss: 0.0771 (0.0919) loss_seg: 0.0768 (0.0915) loss_lansim: 0.0392 (0.0344) loss_contra: 0.0010 (0.0079) time: 2.8431 data: 0.0059 max mem: 31630 Epoch: [15] [4390/5278] eta: 0:43:38 lr: 3.177119573626319e-05 loss: 0.0768 (0.0919) loss_seg: 0.0765 (0.0915) loss_lansim: 0.0382 (0.0344) loss_contra: 0.0012 (0.0079) time: 2.8431 data: 0.0059 max mem: 31630 Epoch: [15] [4400/5278] eta: 0:43:08 lr: 3.176895409214183e-05 loss: 0.0789 (0.0919) loss_seg: 0.0785 (0.0915) loss_lansim: 0.0377 (0.0345) loss_contra: 0.0013 (0.0079) time: 2.8399 data: 0.0059 max mem: 31630 Epoch: [15] [4410/5278] eta: 0:42:38 lr: 3.176671243044563e-05 loss: 0.0788 (0.0919) loss_seg: 0.0785 (0.0915) loss_lansim: 0.0369 (0.0345) loss_contra: 0.0011 (0.0079) time: 2.8398 data: 0.0059 max mem: 31630 Epoch: [15] [4420/5278] eta: 0:42:09 lr: 3.1764470751173085e-05 loss: 0.0779 (0.0919) loss_seg: 0.0774 (0.0915) loss_lansim: 0.0360 (0.0345) loss_contra: 0.0010 (0.0079) time: 2.8399 data: 0.0060 max mem: 31630 Epoch: [15] [4430/5278] eta: 0:41:39 lr: 3.176222905432267e-05 loss: 0.0788 (0.0919) loss_seg: 0.0785 (0.0915) loss_lansim: 0.0357 (0.0345) loss_contra: 0.0009 (0.0079) time: 2.8401 data: 0.0060 max mem: 31630 Epoch: [15] [4440/5278] eta: 0:41:09 lr: 3.175998733989287e-05 loss: 0.0769 (0.0919) loss_seg: 0.0766 (0.0914) loss_lansim: 0.0355 (0.0345) loss_contra: 0.0008 (0.0079) time: 2.8447 data: 0.0060 max mem: 31630 Epoch: [15] [4450/5278] eta: 0:40:40 lr: 3.1757745607882165e-05 loss: 0.0789 (0.0919) loss_seg: 0.0785 (0.0915) loss_lansim: 0.0355 (0.0345) loss_contra: 0.0008 (0.0079) time: 2.8432 data: 0.0060 max mem: 31630 Epoch: [15] [4460/5278] eta: 0:40:10 lr: 3.175550385828904e-05 loss: 0.0789 (0.0919) loss_seg: 0.0785 (0.0914) loss_lansim: 0.0350 (0.0345) loss_contra: 0.0008 (0.0080) time: 2.8485 data: 0.0060 max mem: 31630 Epoch: [15] [4470/5278] eta: 0:39:41 lr: 3.175326209111198e-05 loss: 0.0811 (0.0919) loss_seg: 0.0807 (0.0914) loss_lansim: 0.0354 (0.0345) loss_contra: 0.0007 (0.0080) time: 2.8553 data: 0.0059 max mem: 31630 Epoch: [15] [4480/5278] eta: 0:39:11 lr: 3.175102030634947e-05 loss: 0.0807 (0.0919) loss_seg: 0.0803 (0.0914) loss_lansim: 0.0354 (0.0345) loss_contra: 0.0008 (0.0080) time: 2.8531 data: 0.0059 max mem: 31630 Epoch: [15] [4490/5278] eta: 0:38:41 lr: 3.174877850399999e-05 loss: 0.0807 (0.0918) loss_seg: 0.0803 (0.0914) loss_lansim: 0.0353 (0.0345) loss_contra: 0.0008 (0.0080) time: 2.8585 data: 0.0060 max mem: 31630 Epoch: [15] [4500/5278] eta: 0:38:12 lr: 3.1746536684062016e-05 loss: 0.0804 (0.0918) loss_seg: 0.0802 (0.0914) loss_lansim: 0.0348 (0.0345) loss_contra: 0.0008 (0.0080) time: 2.8625 data: 0.0060 max mem: 31630 Epoch: [15] [4510/5278] eta: 0:37:42 lr: 3.174429484653404e-05 loss: 0.0804 (0.0918) loss_seg: 0.0800 (0.0914) loss_lansim: 0.0350 (0.0345) loss_contra: 0.0008 (0.0080) time: 2.8570 data: 0.0060 max mem: 31630 Epoch: [15] [4520/5278] eta: 0:37:12 lr: 3.174205299141454e-05 loss: 0.0804 (0.0918) loss_seg: 0.0800 (0.0914) loss_lansim: 0.0350 (0.0345) loss_contra: 0.0012 (0.0080) time: 2.8580 data: 0.0059 max mem: 31630 Epoch: [15] [4530/5278] eta: 0:36:43 lr: 3.1739811118702e-05 loss: 0.0818 (0.0918) loss_seg: 0.0814 (0.0914) loss_lansim: 0.0350 (0.0345) loss_contra: 0.0013 (0.0080) time: 2.8513 data: 0.0058 max mem: 31630 Epoch: [15] [4540/5278] eta: 0:36:13 lr: 3.173756922839488e-05 loss: 0.0818 (0.0918) loss_seg: 0.0814 (0.0914) loss_lansim: 0.0354 (0.0345) loss_contra: 0.0015 (0.0080) time: 2.8508 data: 0.0058 max mem: 31630 Epoch: [15] [4550/5278] eta: 0:35:44 lr: 3.1735327320491695e-05 loss: 0.0788 (0.0918) loss_seg: 0.0785 (0.0913) loss_lansim: 0.0351 (0.0345) loss_contra: 0.0017 (0.0080) time: 2.8503 data: 0.0058 max mem: 31630 Epoch: [15] [4560/5278] eta: 0:35:14 lr: 3.1733085394990906e-05 loss: 0.0807 (0.0918) loss_seg: 0.0803 (0.0914) loss_lansim: 0.0351 (0.0345) loss_contra: 0.0015 (0.0080) time: 2.8442 data: 0.0058 max mem: 31630 Epoch: [15] [4570/5278] eta: 0:34:44 lr: 3.1730843451890995e-05 loss: 0.0788 (0.0918) loss_seg: 0.0785 (0.0913) loss_lansim: 0.0350 (0.0345) loss_contra: 0.0015 (0.0080) time: 2.8462 data: 0.0058 max mem: 31630 Epoch: [15] [4580/5278] eta: 0:34:15 lr: 3.172860149119045e-05 loss: 0.0797 (0.0917) loss_seg: 0.0792 (0.0913) loss_lansim: 0.0350 (0.0345) loss_contra: 0.0013 (0.0080) time: 2.8468 data: 0.0058 max mem: 31630 Epoch: [15] [4590/5278] eta: 0:33:45 lr: 3.172635951288774e-05 loss: 0.0797 (0.0918) loss_seg: 0.0792 (0.0913) loss_lansim: 0.0350 (0.0345) loss_contra: 0.0013 (0.0079) time: 2.8433 data: 0.0058 max mem: 31630 Epoch: [15] [4600/5278] eta: 0:33:16 lr: 3.172411751698135e-05 loss: 0.0829 (0.0918) loss_seg: 0.0825 (0.0914) loss_lansim: 0.0350 (0.0345) loss_contra: 0.0013 (0.0079) time: 2.8373 data: 0.0058 max mem: 31630 Epoch: [15] [4610/5278] eta: 0:32:46 lr: 3.172187550346977e-05 loss: 0.0874 (0.0919) loss_seg: 0.0868 (0.0915) loss_lansim: 0.0356 (0.0346) loss_contra: 0.0013 (0.0079) time: 2.8417 data: 0.0057 max mem: 31630 Epoch: [15] [4620/5278] eta: 0:32:16 lr: 3.1719633472351444e-05 loss: 0.0914 (0.0919) loss_seg: 0.0909 (0.0915) loss_lansim: 0.0357 (0.0346) loss_contra: 0.0012 (0.0079) time: 2.8443 data: 0.0057 max mem: 31630 Epoch: [15] [4630/5278] eta: 0:31:47 lr: 3.17173914236249e-05 loss: 0.0941 (0.0920) loss_seg: 0.0935 (0.0916) loss_lansim: 0.0361 (0.0346) loss_contra: 0.0011 (0.0079) time: 2.8442 data: 0.0058 max mem: 31630 Epoch: [15] [4640/5278] eta: 0:31:17 lr: 3.171514935728858e-05 loss: 0.0941 (0.0920) loss_seg: 0.0935 (0.0916) loss_lansim: 0.0363 (0.0346) loss_contra: 0.0011 (0.0079) time: 2.8429 data: 0.0058 max mem: 31630 Epoch: [15] [4650/5278] eta: 0:30:48 lr: 3.171290727334097e-05 loss: 0.0941 (0.0920) loss_seg: 0.0935 (0.0916) loss_lansim: 0.0372 (0.0346) loss_contra: 0.0008 (0.0079) time: 2.8443 data: 0.0058 max mem: 31630 Epoch: [15] [4660/5278] eta: 0:30:18 lr: 3.171066517178057e-05 loss: 0.0940 (0.0920) loss_seg: 0.0924 (0.0916) loss_lansim: 0.0372 (0.0346) loss_contra: 0.0008 (0.0079) time: 2.8516 data: 0.0058 max mem: 31630 Epoch: [15] [4670/5278] eta: 0:29:49 lr: 3.170842305260582e-05 loss: 0.0947 (0.0920) loss_seg: 0.0944 (0.0916) loss_lansim: 0.0372 (0.0346) loss_contra: 0.0008 (0.0079) time: 2.8527 data: 0.0057 max mem: 31630 Epoch: [15] [4680/5278] eta: 0:29:19 lr: 3.170618091581523e-05 loss: 0.0947 (0.0920) loss_seg: 0.0944 (0.0916) loss_lansim: 0.0377 (0.0346) loss_contra: 0.0007 (0.0079) time: 2.8494 data: 0.0057 max mem: 31630 Epoch: [15] [4690/5278] eta: 0:28:50 lr: 3.1703938761407265e-05 loss: 0.0940 (0.0920) loss_seg: 0.0924 (0.0916) loss_lansim: 0.0378 (0.0346) loss_contra: 0.0007 (0.0079) time: 2.8490 data: 0.0057 max mem: 31630 Epoch: [15] [4700/5278] eta: 0:28:20 lr: 3.1701696589380396e-05 loss: 0.0914 (0.0920) loss_seg: 0.0909 (0.0916) loss_lansim: 0.0379 (0.0346) loss_contra: 0.0008 (0.0079) time: 2.8527 data: 0.0056 max mem: 31630 Epoch: [15] [4710/5278] eta: 0:27:50 lr: 3.169945439973312e-05 loss: 0.0889 (0.0920) loss_seg: 0.0886 (0.0915) loss_lansim: 0.0377 (0.0346) loss_contra: 0.0007 (0.0079) time: 2.8518 data: 0.0056 max mem: 31630 Epoch: [15] [4720/5278] eta: 0:27:21 lr: 3.1697212192463895e-05 loss: 0.0889 (0.0920) loss_seg: 0.0886 (0.0915) loss_lansim: 0.0374 (0.0347) loss_contra: 0.0007 (0.0079) time: 2.8524 data: 0.0056 max mem: 31630 Epoch: [15] [4730/5278] eta: 0:26:51 lr: 3.16949699675712e-05 loss: 0.0889 (0.0920) loss_seg: 0.0886 (0.0916) loss_lansim: 0.0372 (0.0347) loss_contra: 0.0007 (0.0079) time: 2.8512 data: 0.0056 max mem: 31630 Epoch: [15] [4740/5278] eta: 0:26:22 lr: 3.169272772505352e-05 loss: 0.0860 (0.0919) loss_seg: 0.0854 (0.0915) loss_lansim: 0.0372 (0.0347) loss_contra: 0.0007 (0.0079) time: 2.8505 data: 0.0055 max mem: 31630 Epoch: [15] [4750/5278] eta: 0:25:52 lr: 3.169048546490931e-05 loss: 0.0860 (0.0919) loss_seg: 0.0854 (0.0915) loss_lansim: 0.0372 (0.0347) loss_contra: 0.0007 (0.0079) time: 2.8517 data: 0.0055 max mem: 31630 Epoch: [15] [4760/5278] eta: 0:25:23 lr: 3.168824318713707e-05 loss: 0.0866 (0.0920) loss_seg: 0.0863 (0.0915) loss_lansim: 0.0378 (0.0347) loss_contra: 0.0007 (0.0079) time: 2.8486 data: 0.0055 max mem: 31630 Epoch: [15] [4770/5278] eta: 0:24:53 lr: 3.1686000891735275e-05 loss: 0.0873 (0.0920) loss_seg: 0.0869 (0.0915) loss_lansim: 0.0380 (0.0347) loss_contra: 0.0007 (0.0079) time: 2.8475 data: 0.0055 max mem: 31630 Epoch: [15] [4780/5278] eta: 0:24:24 lr: 3.168375857870238e-05 loss: 0.0873 (0.0920) loss_seg: 0.0869 (0.0916) loss_lansim: 0.0385 (0.0347) loss_contra: 0.0007 (0.0079) time: 2.8531 data: 0.0055 max mem: 31630 Epoch: [15] [4790/5278] eta: 0:23:54 lr: 3.168151624803688e-05 loss: 0.0908 (0.0921) loss_seg: 0.0903 (0.0916) loss_lansim: 0.0385 (0.0347) loss_contra: 0.0007 (0.0079) time: 2.8517 data: 0.0056 max mem: 31630 Epoch: [15] [4800/5278] eta: 0:23:25 lr: 3.1679273899737234e-05 loss: 0.0907 (0.0921) loss_seg: 0.0902 (0.0916) loss_lansim: 0.0392 (0.0348) loss_contra: 0.0005 (0.0078) time: 2.8506 data: 0.0056 max mem: 31630 Epoch: [15] [4810/5278] eta: 0:22:55 lr: 3.1677031533801925e-05 loss: 0.0904 (0.0921) loss_seg: 0.0899 (0.0917) loss_lansim: 0.0398 (0.0348) loss_contra: 0.0006 (0.0078) time: 2.8531 data: 0.0055 max mem: 31630 Epoch: [15] [4820/5278] eta: 0:22:26 lr: 3.1674789150229425e-05 loss: 0.0885 (0.0921) loss_seg: 0.0881 (0.0916) loss_lansim: 0.0402 (0.0348) loss_contra: 0.0005 (0.0078) time: 2.8509 data: 0.0056 max mem: 31630 Epoch: [15] [4830/5278] eta: 0:21:56 lr: 3.167254674901821e-05 loss: 0.0860 (0.0921) loss_seg: 0.0855 (0.0916) loss_lansim: 0.0409 (0.0348) loss_contra: 0.0005 (0.0078) time: 2.8549 data: 0.0055 max mem: 31630 Epoch: [15] [4840/5278] eta: 0:21:27 lr: 3.167030433016675e-05 loss: 0.0896 (0.0921) loss_seg: 0.0892 (0.0917) loss_lansim: 0.0410 (0.0348) loss_contra: 0.0005 (0.0078) time: 2.8544 data: 0.0055 max mem: 31630 Epoch: [15] [4850/5278] eta: 0:20:58 lr: 3.1668061893673525e-05 loss: 0.0879 (0.0921) loss_seg: 0.0874 (0.0917) loss_lansim: 0.0410 (0.0348) loss_contra: 0.0005 (0.0078) time: 2.8581 data: 0.0056 max mem: 31630 Epoch: [15] [4860/5278] eta: 0:20:28 lr: 3.1665819439537e-05 loss: 0.0864 (0.0921) loss_seg: 0.0859 (0.0917) loss_lansim: 0.0409 (0.0348) loss_contra: 0.0005 (0.0078) time: 2.8599 data: 0.0056 max mem: 31630 Epoch: [15] [4870/5278] eta: 0:19:59 lr: 3.1663576967755655e-05 loss: 0.0864 (0.0922) loss_seg: 0.0858 (0.0917) loss_lansim: 0.0410 (0.0349) loss_contra: 0.0006 (0.0078) time: 2.8523 data: 0.0056 max mem: 31630 Epoch: [15] [4880/5278] eta: 0:19:29 lr: 3.1661334478327956e-05 loss: 0.0904 (0.0922) loss_seg: 0.0899 (0.0918) loss_lansim: 0.0411 (0.0349) loss_contra: 0.0006 (0.0078) time: 2.8501 data: 0.0056 max mem: 31630 Epoch: [15] [4890/5278] eta: 0:19:00 lr: 3.165909197125238e-05 loss: 0.0885 (0.0922) loss_seg: 0.0881 (0.0918) loss_lansim: 0.0423 (0.0349) loss_contra: 0.0006 (0.0078) time: 2.8542 data: 0.0056 max mem: 31630 Epoch: [15] [4900/5278] eta: 0:18:30 lr: 3.1656849446527396e-05 loss: 0.0920 (0.0922) loss_seg: 0.0915 (0.0918) loss_lansim: 0.0423 (0.0349) loss_contra: 0.0008 (0.0078) time: 2.8544 data: 0.0056 max mem: 31630 Epoch: [15] [4910/5278] eta: 0:18:01 lr: 3.165460690415147e-05 loss: 0.0932 (0.0922) loss_seg: 0.0927 (0.0918) loss_lansim: 0.0429 (0.0350) loss_contra: 0.0009 (0.0078) time: 2.8554 data: 0.0057 max mem: 31630 Epoch: [15] [4920/5278] eta: 0:17:31 lr: 3.1652364344123097e-05 loss: 0.0951 (0.0922) loss_seg: 0.0945 (0.0918) loss_lansim: 0.0429 (0.0350) loss_contra: 0.0011 (0.0078) time: 2.8530 data: 0.0058 max mem: 31630 Epoch: [15] [4930/5278] eta: 0:17:02 lr: 3.1650121766440725e-05 loss: 0.0986 (0.0923) loss_seg: 0.0981 (0.0918) loss_lansim: 0.0432 (0.0350) loss_contra: 0.0011 (0.0078) time: 2.8507 data: 0.0058 max mem: 31630 Epoch: [15] [4940/5278] eta: 0:16:32 lr: 3.164787917110283e-05 loss: 0.0999 (0.0923) loss_seg: 0.0995 (0.0918) loss_lansim: 0.0437 (0.0350) loss_contra: 0.0011 (0.0078) time: 2.8521 data: 0.0058 max mem: 31630 Epoch: [15] [4950/5278] eta: 0:16:03 lr: 3.16456365581079e-05 loss: 0.0986 (0.0923) loss_seg: 0.0981 (0.0918) loss_lansim: 0.0444 (0.0350) loss_contra: 0.0010 (0.0078) time: 2.8476 data: 0.0058 max mem: 31630 Epoch: [15] [4960/5278] eta: 0:15:34 lr: 3.164339392745437e-05 loss: 0.0986 (0.0923) loss_seg: 0.0981 (0.0918) loss_lansim: 0.0448 (0.0350) loss_contra: 0.0010 (0.0078) time: 2.8398 data: 0.0058 max mem: 31630 Epoch: [15] [4970/5278] eta: 0:15:04 lr: 3.164115127914075e-05 loss: 0.0956 (0.0923) loss_seg: 0.0949 (0.0919) loss_lansim: 0.0449 (0.0351) loss_contra: 0.0009 (0.0078) time: 2.8437 data: 0.0058 max mem: 31630 Epoch: [15] [4980/5278] eta: 0:14:35 lr: 3.1638908613165485e-05 loss: 0.0945 (0.0923) loss_seg: 0.0939 (0.0919) loss_lansim: 0.0448 (0.0351) loss_contra: 0.0009 (0.0078) time: 2.8417 data: 0.0058 max mem: 31630 Epoch: [15] [4990/5278] eta: 0:14:05 lr: 3.163666592952705e-05 loss: 0.0934 (0.0923) loss_seg: 0.0930 (0.0919) loss_lansim: 0.0444 (0.0351) loss_contra: 0.0008 (0.0078) time: 2.8413 data: 0.0058 max mem: 31630 Epoch: [15] [5000/5278] eta: 0:13:36 lr: 3.163442322822392e-05 loss: 0.0900 (0.0923) loss_seg: 0.0896 (0.0918) loss_lansim: 0.0444 (0.0351) loss_contra: 0.0007 (0.0078) time: 2.8378 data: 0.0057 max mem: 31630 Epoch: [15] [5010/5278] eta: 0:13:06 lr: 3.163218050925456e-05 loss: 0.0888 (0.0922) loss_seg: 0.0883 (0.0918) loss_lansim: 0.0437 (0.0351) loss_contra: 0.0006 (0.0077) time: 2.8344 data: 0.0056 max mem: 31630 Epoch: [15] [5020/5278] eta: 0:12:37 lr: 3.162993777261744e-05 loss: 0.0889 (0.0923) loss_seg: 0.0885 (0.0918) loss_lansim: 0.0444 (0.0352) loss_contra: 0.0005 (0.0077) time: 2.8405 data: 0.0055 max mem: 31630 Epoch: [15] [5030/5278] eta: 0:12:08 lr: 3.1627695018311025e-05 loss: 0.0889 (0.0923) loss_seg: 0.0885 (0.0919) loss_lansim: 0.0450 (0.0352) loss_contra: 0.0004 (0.0077) time: 2.8439 data: 0.0056 max mem: 31630 Epoch: [15] [5040/5278] eta: 0:11:38 lr: 3.162545224633379e-05 loss: 0.0886 (0.0923) loss_seg: 0.0880 (0.0919) loss_lansim: 0.0455 (0.0352) loss_contra: 0.0005 (0.0077) time: 2.8420 data: 0.0055 max mem: 31630 Epoch: [15] [5050/5278] eta: 0:11:09 lr: 3.16232094566842e-05 loss: 0.0886 (0.0923) loss_seg: 0.0880 (0.0919) loss_lansim: 0.0456 (0.0352) loss_contra: 0.0005 (0.0077) time: 2.8427 data: 0.0055 max mem: 31630 Epoch: [15] [5060/5278] eta: 0:10:39 lr: 3.162096664936072e-05 loss: 0.0888 (0.0924) loss_seg: 0.0883 (0.0919) loss_lansim: 0.0461 (0.0353) loss_contra: 0.0004 (0.0077) time: 2.8434 data: 0.0055 max mem: 31630 Epoch: [15] [5070/5278] eta: 0:10:10 lr: 3.1618723824361825e-05 loss: 0.0886 (0.0924) loss_seg: 0.0880 (0.0919) loss_lansim: 0.0469 (0.0353) loss_contra: 0.0005 (0.0077) time: 2.8458 data: 0.0055 max mem: 31630 Epoch: [15] [5080/5278] eta: 0:09:41 lr: 3.161648098168598e-05 loss: 0.0889 (0.0924) loss_seg: 0.0885 (0.0919) loss_lansim: 0.0469 (0.0353) loss_contra: 0.0005 (0.0077) time: 2.8466 data: 0.0055 max mem: 31630 Epoch: [15] [5090/5278] eta: 0:09:11 lr: 3.161423812133165e-05 loss: 0.0893 (0.0924) loss_seg: 0.0886 (0.0920) loss_lansim: 0.0469 (0.0353) loss_contra: 0.0006 (0.0077) time: 2.8462 data: 0.0055 max mem: 31630 Epoch: [15] [5100/5278] eta: 0:08:42 lr: 3.1611995243297307e-05 loss: 0.0898 (0.0924) loss_seg: 0.0894 (0.0920) loss_lansim: 0.0472 (0.0354) loss_contra: 0.0006 (0.0077) time: 2.8509 data: 0.0055 max mem: 31630 Epoch: [15] [5110/5278] eta: 0:08:12 lr: 3.160975234758142e-05 loss: 0.0908 (0.0924) loss_seg: 0.0903 (0.0920) loss_lansim: 0.0486 (0.0354) loss_contra: 0.0006 (0.0077) time: 2.8511 data: 0.0055 max mem: 31630 Epoch: [15] [5120/5278] eta: 0:07:43 lr: 3.160750943418243e-05 loss: 0.0902 (0.0925) loss_seg: 0.0897 (0.0920) loss_lansim: 0.0492 (0.0355) loss_contra: 0.0007 (0.0077) time: 2.8469 data: 0.0056 max mem: 31630 Epoch: [15] [5130/5278] eta: 0:07:14 lr: 3.160526650309884e-05 loss: 0.0898 (0.0925) loss_seg: 0.0894 (0.0921) loss_lansim: 0.0499 (0.0355) loss_contra: 0.0007 (0.0077) time: 2.8461 data: 0.0057 max mem: 31630 Epoch: [15] [5140/5278] eta: 0:06:44 lr: 3.1603023554329096e-05 loss: 0.0898 (0.0925) loss_seg: 0.0894 (0.0921) loss_lansim: 0.0528 (0.0356) loss_contra: 0.0006 (0.0077) time: 2.8461 data: 0.0057 max mem: 31630 Epoch: [15] [5150/5278] eta: 0:06:15 lr: 3.1600780587871666e-05 loss: 0.0951 (0.0926) loss_seg: 0.0944 (0.0921) loss_lansim: 0.0546 (0.0356) loss_contra: 0.0007 (0.0077) time: 2.8490 data: 0.0057 max mem: 31630 Epoch: [15] [5160/5278] eta: 0:05:46 lr: 3.159853760372502e-05 loss: 0.0928 (0.0926) loss_seg: 0.0922 (0.0921) loss_lansim: 0.0564 (0.0357) loss_contra: 0.0008 (0.0077) time: 2.8597 data: 0.0058 max mem: 31630 Epoch: [15] [5170/5278] eta: 0:05:16 lr: 3.159629460188761e-05 loss: 0.0951 (0.0926) loss_seg: 0.0944 (0.0922) loss_lansim: 0.0577 (0.0357) loss_contra: 0.0009 (0.0077) time: 2.8586 data: 0.0058 max mem: 31630 Epoch: [15] [5180/5278] eta: 0:04:47 lr: 3.159405158235793e-05 loss: 0.0970 (0.0926) loss_seg: 0.0963 (0.0922) loss_lansim: 0.0597 (0.0358) loss_contra: 0.0011 (0.0078) time: 2.8589 data: 0.0058 max mem: 31630 Epoch: [15] [5190/5278] eta: 0:04:18 lr: 3.1591808545134406e-05 loss: 0.0970 (0.0926) loss_seg: 0.0963 (0.0922) loss_lansim: 0.0627 (0.0359) loss_contra: 0.0010 (0.0078) time: 2.8605 data: 0.0058 max mem: 31630 Epoch: [15] [5200/5278] eta: 0:03:48 lr: 3.1589565490215525e-05 loss: 0.0959 (0.0927) loss_seg: 0.0953 (0.0922) loss_lansim: 0.0644 (0.0359) loss_contra: 0.0012 (0.0078) time: 2.8582 data: 0.0058 max mem: 31630 Epoch: [15] [5210/5278] eta: 0:03:19 lr: 3.158732241759976e-05 loss: 0.0978 (0.0927) loss_seg: 0.0970 (0.0923) loss_lansim: 0.0633 (0.0360) loss_contra: 0.0012 (0.0078) time: 2.8591 data: 0.0059 max mem: 31630 Epoch: [15] [5220/5278] eta: 0:02:50 lr: 3.158507932728556e-05 loss: 0.0959 (0.0927) loss_seg: 0.0953 (0.0923) loss_lansim: 0.0626 (0.0360) loss_contra: 0.0013 (0.0079) time: 2.8633 data: 0.0058 max mem: 31630 Epoch: [15] [5230/5278] eta: 0:02:20 lr: 3.158283621927139e-05 loss: 0.0959 (0.0927) loss_seg: 0.0953 (0.0923) loss_lansim: 0.0597 (0.0360) loss_contra: 0.0018 (0.0079) time: 2.8586 data: 0.0058 max mem: 31630 Epoch: [15] [5240/5278] eta: 0:01:51 lr: 3.158059309355572e-05 loss: 0.0959 (0.0927) loss_seg: 0.0953 (0.0923) loss_lansim: 0.0597 (0.0361) loss_contra: 0.0023 (0.0080) time: 2.8583 data: 0.0057 max mem: 31630 Epoch: [15] [5250/5278] eta: 0:01:22 lr: 3.1578349950137006e-05 loss: 0.0926 (0.0928) loss_seg: 0.0918 (0.0923) loss_lansim: 0.0573 (0.0361) loss_contra: 0.0027 (0.0080) time: 2.8522 data: 0.0057 max mem: 31630 Epoch: [15] [5260/5278] eta: 0:00:52 lr: 3.157610678901372e-05 loss: 0.0926 (0.0927) loss_seg: 0.0918 (0.0923) loss_lansim: 0.0566 (0.0361) loss_contra: 0.0024 (0.0080) time: 2.8450 data: 0.0057 max mem: 31630 Epoch: [15] [5270/5278] eta: 0:00:23 lr: 3.1573863610184305e-05 loss: 0.0891 (0.0927) loss_seg: 0.0879 (0.0923) loss_lansim: 0.0541 (0.0361) loss_contra: 0.0020 (0.0080) time: 2.8418 data: 0.0056 max mem: 31630 Epoch: [15] Total time: 4:17:55 Test: [ 0/2573] eta: 0:59:06 time: 1.3785 data: 1.2215 max mem: 31630 Test: [ 100/2573] eta: 0:06:12 time: 0.1385 data: 0.0014 max mem: 31630 Test: [ 200/2573] eta: 0:06:37 time: 0.1846 data: 0.0411 max mem: 31630 Test: [ 300/2573] eta: 0:05:59 time: 0.1396 data: 0.0017 max mem: 31630 Test: [ 400/2573] eta: 0:05:34 time: 0.1413 data: 0.0016 max mem: 31630 Test: [ 500/2573] eta: 0:05:14 time: 0.1421 data: 0.0016 max mem: 31630 Test: [ 600/2573] eta: 0:04:56 time: 0.1442 data: 0.0016 max mem: 31630 Test: [ 700/2573] eta: 0:04:41 time: 0.1480 data: 0.0016 max mem: 31630 Test: [ 800/2573] eta: 0:04:24 time: 0.1451 data: 0.0016 max mem: 31630 Test: [ 900/2573] eta: 0:04:09 time: 0.1451 data: 0.0016 max mem: 31630 Test: [1000/2573] eta: 0:03:53 time: 0.1432 data: 0.0016 max mem: 31630 Test: [1100/2573] eta: 0:03:37 time: 0.1425 data: 0.0015 max mem: 31630 Test: [1200/2573] eta: 0:03:22 time: 0.1449 data: 0.0015 max mem: 31630 Test: [1300/2573] eta: 0:03:07 time: 0.1434 data: 0.0015 max mem: 31630 Test: [1400/2573] eta: 0:02:52 time: 0.1397 data: 0.0015 max mem: 31630 Test: [1500/2573] eta: 0:02:37 time: 0.1442 data: 0.0015 max mem: 31630 Test: [1600/2573] eta: 0:02:22 time: 0.1440 data: 0.0016 max mem: 31630 Test: [1700/2573] eta: 0:02:07 time: 0.1444 data: 0.0016 max mem: 31630 Test: [1800/2573] eta: 0:01:52 time: 0.1420 data: 0.0016 max mem: 31630 Test: [1900/2573] eta: 0:01:38 time: 0.1397 data: 0.0015 max mem: 31630 Test: [2000/2573] eta: 0:01:23 time: 0.1402 data: 0.0016 max mem: 31630 Test: [2100/2573] eta: 0:01:08 time: 0.1445 data: 0.0016 max mem: 31630 Test: [2200/2573] eta: 0:00:54 time: 0.1391 data: 0.0015 max mem: 31630 Test: [2300/2573] eta: 0:00:39 time: 0.1445 data: 0.0016 max mem: 31630 Test: [2400/2573] eta: 0:00:25 time: 0.1423 data: 0.0015 max mem: 31630 Test: [2500/2573] eta: 0:00:10 time: 0.1452 data: 0.0016 max mem: 31630 Test: Total time: 0:06:13 Final results: precision@0.5 = 64.46 precision@0.6 = 58.48 precision@0.7 = 50.53 precision@0.8 = 38.34 precision@0.9 = 16.16 overall IoU = 55.11 mean IoU = 56.68 Epoch: [16] [ 0/5278] eta: 6:34:26 lr: 3.157206905437135e-05 loss: 0.0843 (0.0843) loss_seg: 0.0839 (0.0839) loss_lansim: 0.0423 (0.0423) loss_contra: 0.0003 (0.0003) time: 4.4839 data: 1.5688 max mem: 31630 Epoch: [16] [ 10/5278] eta: 4:25:37 lr: 3.156982584366706e-05 loss: 0.0843 (0.0903) loss_seg: 0.0839 (0.0898) loss_lansim: 0.0456 (0.0466) loss_contra: 0.0017 (0.0048) time: 3.0253 data: 0.1477 max mem: 31630 Epoch: [16] [ 20/5278] eta: 4:20:05 lr: 3.156758261525235e-05 loss: 0.0782 (0.0834) loss_seg: 0.0778 (0.0829) loss_lansim: 0.0472 (0.0467) loss_contra: 0.0011 (0.0063) time: 2.9680 data: 0.0797 max mem: 31630 Epoch: [16] [ 30/5278] eta: 4:16:58 lr: 3.1565339369125684e-05 loss: 0.0736 (0.0812) loss_seg: 0.0731 (0.0807) loss_lansim: 0.0476 (0.0474) loss_contra: 0.0016 (0.0075) time: 2.9380 data: 0.0559 max mem: 31630 Epoch: [16] [ 40/5278] eta: 4:15:11 lr: 3.156309610528553e-05 loss: 0.0760 (0.0884) loss_seg: 0.0755 (0.0878) loss_lansim: 0.0466 (0.0465) loss_contra: 0.0015 (0.0063) time: 2.9231 data: 0.0437 max mem: 31630 Epoch: [16] [ 50/5278] eta: 4:14:31 lr: 3.1560852823730326e-05 loss: 0.0760 (0.0875) loss_seg: 0.0755 (0.0870) loss_lansim: 0.0462 (0.0467) loss_contra: 0.0013 (0.0057) time: 2.9211 data: 0.0363 max mem: 31630 Epoch: [16] [ 60/5278] eta: 4:13:31 lr: 3.1558609524458546e-05 loss: 0.0776 (0.0904) loss_seg: 0.0769 (0.0899) loss_lansim: 0.0466 (0.0468) loss_contra: 0.0016 (0.0056) time: 2.9152 data: 0.0312 max mem: 31630 Epoch: [16] [ 70/5278] eta: 4:12:40 lr: 3.155636620746867e-05 loss: 0.0760 (0.0885) loss_seg: 0.0755 (0.0880) loss_lansim: 0.0469 (0.0469) loss_contra: 0.0016 (0.0052) time: 2.9109 data: 0.0276 max mem: 31630 Epoch: [16] [ 80/5278] eta: 4:11:39 lr: 3.1554122872759124e-05 loss: 0.0766 (0.0893) loss_seg: 0.0760 (0.0888) loss_lansim: 0.0474 (0.0472) loss_contra: 0.0020 (0.0051) time: 2.9048 data: 0.0249 max mem: 31630 Epoch: [16] [ 90/5278] eta: 4:10:56 lr: 3.155187952032839e-05 loss: 0.0760 (0.0885) loss_seg: 0.0755 (0.0879) loss_lansim: 0.0476 (0.0476) loss_contra: 0.0020 (0.0056) time: 2.9022 data: 0.0228 max mem: 31630 Epoch: [16] [ 100/5278] eta: 4:09:48 lr: 3.154963615017493e-05 loss: 0.0776 (0.0895) loss_seg: 0.0769 (0.0889) loss_lansim: 0.0476 (0.0478) loss_contra: 0.0016 (0.0071) time: 2.8787 data: 0.0056 max mem: 31630 Epoch: [16] [ 110/5278] eta: 4:09:00 lr: 3.154739276229718e-05 loss: 0.0774 (0.0893) loss_seg: 0.0769 (0.0887) loss_lansim: 0.0476 (0.0476) loss_contra: 0.0016 (0.0073) time: 2.8763 data: 0.0055 max mem: 31630 Epoch: [16] [ 120/5278] eta: 4:08:23 lr: 3.154514935669363e-05 loss: 0.0795 (0.0895) loss_seg: 0.0791 (0.0889) loss_lansim: 0.0476 (0.0476) loss_contra: 0.0016 (0.0074) time: 2.8730 data: 0.0056 max mem: 31630 Epoch: [16] [ 130/5278] eta: 4:07:45 lr: 3.1542905933362714e-05 loss: 0.0817 (0.0890) loss_seg: 0.0803 (0.0884) loss_lansim: 0.0474 (0.0475) loss_contra: 0.0016 (0.0071) time: 2.8719 data: 0.0055 max mem: 31630 Epoch: [16] [ 140/5278] eta: 4:07:20 lr: 3.1540662492302905e-05 loss: 0.0818 (0.0893) loss_seg: 0.0813 (0.0888) loss_lansim: 0.0474 (0.0473) loss_contra: 0.0016 (0.0067) time: 2.8741 data: 0.0055 max mem: 31630 Epoch: [16] [ 150/5278] eta: 4:06:32 lr: 3.153841903351267e-05 loss: 0.0818 (0.0895) loss_seg: 0.0813 (0.0890) loss_lansim: 0.0470 (0.0471) loss_contra: 0.0015 (0.0070) time: 2.8661 data: 0.0054 max mem: 31630 Epoch: [16] [ 160/5278] eta: 4:05:44 lr: 3.153617555699045e-05 loss: 0.0821 (0.0907) loss_seg: 0.0817 (0.0902) loss_lansim: 0.0465 (0.0468) loss_contra: 0.0015 (0.0067) time: 2.8601 data: 0.0054 max mem: 31630 Epoch: [16] [ 170/5278] eta: 4:05:16 lr: 3.15339320627347e-05 loss: 0.0841 (0.0911) loss_seg: 0.0836 (0.0906) loss_lansim: 0.0463 (0.0468) loss_contra: 0.0015 (0.0067) time: 2.8600 data: 0.0054 max mem: 31630 Epoch: [16] [ 180/5278] eta: 4:04:47 lr: 3.15316885507439e-05 loss: 0.0822 (0.0899) loss_seg: 0.0817 (0.0893) loss_lansim: 0.0453 (0.0466) loss_contra: 0.0012 (0.0066) time: 2.8620 data: 0.0054 max mem: 31630 Epoch: [16] [ 190/5278] eta: 4:04:15 lr: 3.152944502101649e-05 loss: 0.0822 (0.0895) loss_seg: 0.0817 (0.0890) loss_lansim: 0.0449 (0.0465) loss_contra: 0.0011 (0.0064) time: 2.8604 data: 0.0054 max mem: 31630 Epoch: [16] [ 200/5278] eta: 4:03:42 lr: 3.1527201473550935e-05 loss: 0.0818 (0.0893) loss_seg: 0.0815 (0.0887) loss_lansim: 0.0445 (0.0462) loss_contra: 0.0011 (0.0062) time: 2.8646 data: 0.0054 max mem: 31630 Epoch: [16] [ 210/5278] eta: 4:03:02 lr: 3.1524957908345694e-05 loss: 0.0805 (0.0889) loss_seg: 0.0800 (0.0884) loss_lansim: 0.0446 (0.0462) loss_contra: 0.0011 (0.0060) time: 2.8623 data: 0.0054 max mem: 31630 Epoch: [16] [ 220/5278] eta: 4:02:24 lr: 3.152271432539921e-05 loss: 0.0803 (0.0890) loss_seg: 0.0798 (0.0885) loss_lansim: 0.0443 (0.0462) loss_contra: 0.0010 (0.0058) time: 2.8586 data: 0.0055 max mem: 31630 Epoch: [16] [ 230/5278] eta: 4:02:01 lr: 3.152047072470996e-05 loss: 0.0796 (0.0888) loss_seg: 0.0791 (0.0882) loss_lansim: 0.0441 (0.0461) loss_contra: 0.0009 (0.0057) time: 2.8626 data: 0.0055 max mem: 31630 Epoch: [16] [ 240/5278] eta: 4:01:34 lr: 3.1518227106276377e-05 loss: 0.0793 (0.0895) loss_seg: 0.0788 (0.0890) loss_lansim: 0.0442 (0.0461) loss_contra: 0.0008 (0.0057) time: 2.8611 data: 0.0055 max mem: 31630 Epoch: [16] [ 250/5278] eta: 4:01:01 lr: 3.1515983470096944e-05 loss: 0.0765 (0.0895) loss_seg: 0.0760 (0.0890) loss_lansim: 0.0441 (0.0460) loss_contra: 0.0008 (0.0055) time: 2.8633 data: 0.0056 max mem: 31630 Epoch: [16] [ 260/5278] eta: 4:00:31 lr: 3.151373981617009e-05 loss: 0.0734 (0.0891) loss_seg: 0.0729 (0.0886) loss_lansim: 0.0445 (0.0460) loss_contra: 0.0007 (0.0054) time: 2.8681 data: 0.0056 max mem: 31630 Epoch: [16] [ 270/5278] eta: 4:00:06 lr: 3.151149614449429e-05 loss: 0.0733 (0.0889) loss_seg: 0.0728 (0.0884) loss_lansim: 0.0437 (0.0458) loss_contra: 0.0007 (0.0058) time: 2.8691 data: 0.0056 max mem: 31630 Epoch: [16] [ 280/5278] eta: 3:59:39 lr: 3.1509252455068e-05 loss: 0.0772 (0.0898) loss_seg: 0.0768 (0.0893) loss_lansim: 0.0433 (0.0457) loss_contra: 0.0008 (0.0065) time: 2.8696 data: 0.0056 max mem: 31630 Epoch: [16] [ 290/5278] eta: 3:59:08 lr: 3.150700874788966e-05 loss: 0.0767 (0.0897) loss_seg: 0.0761 (0.0891) loss_lansim: 0.0428 (0.0456) loss_contra: 0.0008 (0.0064) time: 2.8696 data: 0.0057 max mem: 31630 Epoch: [16] [ 300/5278] eta: 3:58:38 lr: 3.150476502295773e-05 loss: 0.0765 (0.0891) loss_seg: 0.0760 (0.0886) loss_lansim: 0.0433 (0.0456) loss_contra: 0.0009 (0.0063) time: 2.8699 data: 0.0057 max mem: 31630 Epoch: [16] [ 310/5278] eta: 3:58:06 lr: 3.150252128027068e-05 loss: 0.0799 (0.0889) loss_seg: 0.0791 (0.0884) loss_lansim: 0.0433 (0.0456) loss_contra: 0.0010 (0.0063) time: 2.8719 data: 0.0057 max mem: 31630 Epoch: [16] [ 320/5278] eta: 3:57:27 lr: 3.150027751982694e-05 loss: 0.0796 (0.0891) loss_seg: 0.0786 (0.0886) loss_lansim: 0.0432 (0.0455) loss_contra: 0.0009 (0.0061) time: 2.8695 data: 0.0057 max mem: 31630 Epoch: [16] [ 330/5278] eta: 3:57:02 lr: 3.149803374162499e-05 loss: 0.0800 (0.0891) loss_seg: 0.0795 (0.0886) loss_lansim: 0.0432 (0.0455) loss_contra: 0.0010 (0.0060) time: 2.8689 data: 0.0057 max mem: 31630 Epoch: [16] [ 340/5278] eta: 3:56:35 lr: 3.149578994566325e-05 loss: 0.0803 (0.0890) loss_seg: 0.0799 (0.0884) loss_lansim: 0.0432 (0.0455) loss_contra: 0.0013 (0.0060) time: 2.8692 data: 0.0058 max mem: 31630 Epoch: [16] [ 350/5278] eta: 5:04:44 lr: 3.149354613194021e-05 loss: 0.0805 (0.0893) loss_seg: 0.0800 (0.0888) loss_lansim: 0.0432 (0.0455) loss_contra: 0.0015 (0.0060) time: 5.8039 data: 0.0059 max mem: 31630 Epoch: [16] [ 360/5278] eta: 5:01:43 lr: 3.149130230045431e-05 loss: 0.0805 (0.0889) loss_seg: 0.0800 (0.0884) loss_lansim: 0.0436 (0.0456) loss_contra: 0.0015 (0.0060) time: 5.7820 data: 0.0059 max mem: 31630 Epoch: [16] [ 370/5278] eta: 4:58:58 lr: 3.148905845120399e-05 loss: 0.0807 (0.0888) loss_seg: 0.0803 (0.0883) loss_lansim: 0.0441 (0.0456) loss_contra: 0.0015 (0.0060) time: 5.7643 data: 0.0058 max mem: 31630 Epoch: [16] [ 380/5278] eta: 4:56:17 lr: 3.148681458418771e-05 loss: 0.0803 (0.0889) loss_seg: 0.0799 (0.0884) loss_lansim: 0.0442 (0.0456) loss_contra: 0.0013 (0.0059) time: 5.7441 data: 0.0058 max mem: 31630 Epoch: [16] [ 390/5278] eta: 4:53:45 lr: 3.148457069940394e-05 loss: 0.0803 (0.0886) loss_seg: 0.0797 (0.0881) loss_lansim: 0.0450 (0.0457) loss_contra: 0.0009 (0.0058) time: 5.7282 data: 0.0058 max mem: 31630 Epoch: [16] [ 400/5278] eta: 4:51:19 lr: 3.14823267968511e-05 loss: 0.0809 (0.0890) loss_seg: 0.0805 (0.0885) loss_lansim: 0.0450 (0.0458) loss_contra: 0.0009 (0.0059) time: 5.7109 data: 0.0056 max mem: 31630 Epoch: [16] [ 410/5278] eta: 4:48:55 lr: 3.148008287652767e-05 loss: 0.0809 (0.0889) loss_seg: 0.0805 (0.0884) loss_lansim: 0.0450 (0.0458) loss_contra: 0.0009 (0.0059) time: 5.6933 data: 0.0056 max mem: 31630 Epoch: [16] [ 420/5278] eta: 4:46:43 lr: 3.1477838938432094e-05 loss: 0.0809 (0.0887) loss_seg: 0.0805 (0.0882) loss_lansim: 0.0451 (0.0457) loss_contra: 0.0009 (0.0059) time: 5.6847 data: 0.0056 max mem: 31630 Epoch: [16] [ 430/5278] eta: 4:44:30 lr: 3.147559498256282e-05 loss: 0.0783 (0.0882) loss_seg: 0.0779 (0.0877) loss_lansim: 0.0450 (0.0457) loss_contra: 0.0006 (0.0065) time: 5.6616 data: 0.0055 max mem: 31630 Epoch: [16] [ 440/5278] eta: 4:42:27 lr: 3.14733510089183e-05 loss: 0.0774 (0.0879) loss_seg: 0.0769 (0.0874) loss_lansim: 0.0447 (0.0456) loss_contra: 0.0009 (0.0073) time: 5.6450 data: 0.0053 max mem: 31630 Epoch: [16] [ 450/5278] eta: 4:40:23 lr: 3.147110701749697e-05 loss: 0.0749 (0.0878) loss_seg: 0.0744 (0.0872) loss_lansim: 0.0448 (0.0456) loss_contra: 0.0008 (0.0072) time: 2.6926 data: 0.0053 max mem: 31630 Epoch: [16] [ 460/5278] eta: 4:38:28 lr: 3.146886300829732e-05 loss: 0.0774 (0.0877) loss_seg: 0.0767 (0.0872) loss_lansim: 0.0446 (0.0455) loss_contra: 0.0010 (0.0078) time: 2.6989 data: 0.0053 max mem: 31630 Epoch: [16] [ 470/5278] eta: 4:36:36 lr: 3.146661898131777e-05 loss: 0.0774 (0.0876) loss_seg: 0.0767 (0.0870) loss_lansim: 0.0448 (0.0456) loss_contra: 0.0010 (0.0079) time: 2.6980 data: 0.0053 max mem: 31630 Epoch: [16] [ 480/5278] eta: 4:34:46 lr: 3.1464374936556766e-05 loss: 0.0767 (0.0876) loss_seg: 0.0752 (0.0871) loss_lansim: 0.0448 (0.0456) loss_contra: 0.0012 (0.0078) time: 2.6992 data: 0.0053 max mem: 31630 Epoch: [16] [ 490/5278] eta: 4:33:02 lr: 3.146213087401278e-05 loss: 0.0767 (0.0873) loss_seg: 0.0758 (0.0868) loss_lansim: 0.0444 (0.0456) loss_contra: 0.0013 (0.0080) time: 2.7008 data: 0.0053 max mem: 31630 Epoch: [16] [ 500/5278] eta: 4:31:16 lr: 3.145988679368425e-05 loss: 0.0767 (0.0876) loss_seg: 0.0758 (0.0871) loss_lansim: 0.0445 (0.0456) loss_contra: 0.0012 (0.0081) time: 2.6981 data: 0.0053 max mem: 31630 Epoch: [16] [ 510/5278] eta: 4:29:39 lr: 3.145764269556963e-05 loss: 0.0763 (0.0875) loss_seg: 0.0752 (0.0869) loss_lansim: 0.0445 (0.0456) loss_contra: 0.0012 (0.0081) time: 2.7036 data: 0.0053 max mem: 31630 Epoch: [16] [ 520/5278] eta: 4:28:01 lr: 3.145539857966736e-05 loss: 0.0756 (0.0872) loss_seg: 0.0748 (0.0867) loss_lansim: 0.0445 (0.0455) loss_contra: 0.0013 (0.0080) time: 2.6999 data: 0.0053 max mem: 31630 Epoch: [16] [ 530/5278] eta: 4:26:28 lr: 3.145315444597589e-05 loss: 0.0777 (0.0872) loss_seg: 0.0763 (0.0867) loss_lansim: 0.0446 (0.0455) loss_contra: 0.0014 (0.0080) time: 2.7049 data: 0.0053 max mem: 31630 Epoch: [16] [ 540/5278] eta: 4:24:55 lr: 3.145091029449368e-05 loss: 0.0778 (0.0870) loss_seg: 0.0772 (0.0865) loss_lansim: 0.0446 (0.0454) loss_contra: 0.0012 (0.0078) time: 2.7026 data: 0.0053 max mem: 31630 Epoch: [16] [ 550/5278] eta: 4:23:24 lr: 3.144866612521917e-05 loss: 0.0778 (0.0872) loss_seg: 0.0772 (0.0866) loss_lansim: 0.0443 (0.0454) loss_contra: 0.0015 (0.0078) time: 2.7031 data: 0.0053 max mem: 31630 Epoch: [16] [ 560/5278] eta: 4:21:58 lr: 3.1446421938150804e-05 loss: 0.0763 (0.0871) loss_seg: 0.0758 (0.0866) loss_lansim: 0.0441 (0.0454) loss_contra: 0.0014 (0.0078) time: 2.7028 data: 0.0053 max mem: 31630 Epoch: [16] [ 570/5278] eta: 4:20:30 lr: 3.144417773328705e-05 loss: 0.0777 (0.0870) loss_seg: 0.0772 (0.0865) loss_lansim: 0.0441 (0.0454) loss_contra: 0.0014 (0.0077) time: 2.6984 data: 0.0053 max mem: 31630 Epoch: [16] [ 580/5278] eta: 4:19:08 lr: 3.144193351062633e-05 loss: 0.0752 (0.0868) loss_seg: 0.0746 (0.0863) loss_lansim: 0.0443 (0.0455) loss_contra: 0.0012 (0.0077) time: 2.7007 data: 0.0053 max mem: 31630 Epoch: [16] [ 590/5278] eta: 4:17:44 lr: 3.143968927016711e-05 loss: 0.0778 (0.0868) loss_seg: 0.0773 (0.0863) loss_lansim: 0.0446 (0.0455) loss_contra: 0.0012 (0.0076) time: 2.6960 data: 0.0053 max mem: 31630 Epoch: [16] [ 600/5278] eta: 4:16:23 lr: 3.143744501190782e-05 loss: 0.0734 (0.0868) loss_seg: 0.0729 (0.0862) loss_lansim: 0.0446 (0.0456) loss_contra: 0.0012 (0.0075) time: 2.6966 data: 0.0053 max mem: 31630 Epoch: [16] [ 610/5278] eta: 4:15:05 lr: 3.1435200735846924e-05 loss: 0.0722 (0.0867) loss_seg: 0.0718 (0.0861) loss_lansim: 0.0446 (0.0456) loss_contra: 0.0011 (0.0074) time: 2.6928 data: 0.0053 max mem: 31630 Epoch: [16] [ 620/5278] eta: 4:13:47 lr: 3.143295644198286e-05 loss: 0.0734 (0.0868) loss_seg: 0.0729 (0.0863) loss_lansim: 0.0446 (0.0456) loss_contra: 0.0011 (0.0074) time: 2.6915 data: 0.0053 max mem: 31630 Epoch: [16] [ 630/5278] eta: 4:12:34 lr: 3.143071213031408e-05 loss: 0.0743 (0.0866) loss_seg: 0.0738 (0.0861) loss_lansim: 0.0446 (0.0455) loss_contra: 0.0010 (0.0073) time: 2.6921 data: 0.0053 max mem: 31630 Epoch: [16] [ 640/5278] eta: 4:11:18 lr: 3.142846780083902e-05 loss: 0.0751 (0.0867) loss_seg: 0.0746 (0.0861) loss_lansim: 0.0451 (0.0456) loss_contra: 0.0009 (0.0072) time: 2.6890 data: 0.0053 max mem: 31630 Epoch: [16] [ 650/5278] eta: 4:10:07 lr: 3.1426223453556135e-05 loss: 0.0777 (0.0865) loss_seg: 0.0772 (0.0860) loss_lansim: 0.0450 (0.0456) loss_contra: 0.0009 (0.0072) time: 2.6916 data: 0.0053 max mem: 31630 Epoch: [16] [ 660/5278] eta: 4:08:54 lr: 3.142397908846387e-05 loss: 0.0793 (0.0871) loss_seg: 0.0788 (0.0865) loss_lansim: 0.0450 (0.0455) loss_contra: 0.0007 (0.0072) time: 2.6865 data: 0.0053 max mem: 31630 Epoch: [16] [ 670/5278] eta: 4:07:44 lr: 3.1421734705560655e-05 loss: 0.0787 (0.0870) loss_seg: 0.0783 (0.0865) loss_lansim: 0.0448 (0.0455) loss_contra: 0.0006 (0.0071) time: 2.6889 data: 0.0052 max mem: 31630 Epoch: [16] [ 680/5278] eta: 4:06:37 lr: 3.141949030484496e-05 loss: 0.0833 (0.0873) loss_seg: 0.0828 (0.0868) loss_lansim: 0.0446 (0.0455) loss_contra: 0.0006 (0.0071) time: 2.6886 data: 0.0052 max mem: 31630 Epoch: [16] [ 690/5278] eta: 4:05:30 lr: 3.141724588631521e-05 loss: 0.0810 (0.0872) loss_seg: 0.0805 (0.0867) loss_lansim: 0.0447 (0.0455) loss_contra: 0.0006 (0.0070) time: 2.6902 data: 0.0052 max mem: 31630 Epoch: [16] [ 700/5278] eta: 4:04:26 lr: 3.1415001449969874e-05 loss: 0.0846 (0.0876) loss_seg: 0.0840 (0.0871) loss_lansim: 0.0445 (0.0455) loss_contra: 0.0006 (0.0070) time: 2.6940 data: 0.0053 max mem: 31630 Epoch: [16] [ 710/5278] eta: 4:03:19 lr: 3.1412756995807364e-05 loss: 0.0878 (0.0878) loss_seg: 0.0874 (0.0873) loss_lansim: 0.0445 (0.0455) loss_contra: 0.0007 (0.0071) time: 2.6916 data: 0.0053 max mem: 31630 Epoch: [16] [ 720/5278] eta: 4:02:17 lr: 3.141051252382614e-05 loss: 0.0867 (0.0878) loss_seg: 0.0862 (0.0873) loss_lansim: 0.0443 (0.0454) loss_contra: 0.0008 (0.0073) time: 2.6947 data: 0.0053 max mem: 31630 Epoch: [16] [ 730/5278] eta: 4:01:14 lr: 3.140826803402466e-05 loss: 0.0878 (0.0878) loss_seg: 0.0874 (0.0873) loss_lansim: 0.0439 (0.0453) loss_contra: 0.0009 (0.0072) time: 2.6915 data: 0.0053 max mem: 31630 Epoch: [16] [ 740/5278] eta: 4:00:14 lr: 3.140602352640133e-05 loss: 0.0879 (0.0879) loss_seg: 0.0875 (0.0874) loss_lansim: 0.0434 (0.0453) loss_contra: 0.0009 (0.0072) time: 2.6975 data: 0.0053 max mem: 31630 Epoch: [16] [ 750/5278] eta: 3:59:14 lr: 3.140377900095463e-05 loss: 0.0886 (0.0882) loss_seg: 0.0882 (0.0877) loss_lansim: 0.0433 (0.0453) loss_contra: 0.0009 (0.0072) time: 2.6969 data: 0.0053 max mem: 31630 Epoch: [16] [ 760/5278] eta: 3:58:14 lr: 3.140153445768299e-05 loss: 0.0881 (0.0883) loss_seg: 0.0876 (0.0877) loss_lansim: 0.0433 (0.0452) loss_contra: 0.0009 (0.0071) time: 2.7005 data: 0.0053 max mem: 31630 Epoch: [16] [ 770/5278] eta: 3:57:16 lr: 3.139928989658485e-05 loss: 0.0878 (0.0880) loss_seg: 0.0874 (0.0875) loss_lansim: 0.0431 (0.0452) loss_contra: 0.0011 (0.0071) time: 2.7034 data: 0.0053 max mem: 31630 Epoch: [16] [ 780/5278] eta: 3:56:17 lr: 3.139704531765866e-05 loss: 0.0827 (0.0880) loss_seg: 0.0822 (0.0874) loss_lansim: 0.0431 (0.0452) loss_contra: 0.0011 (0.0070) time: 2.6990 data: 0.0054 max mem: 31630 Epoch: [16] [ 790/5278] eta: 3:55:21 lr: 3.139480072090284e-05 loss: 0.0847 (0.0881) loss_seg: 0.0838 (0.0876) loss_lansim: 0.0431 (0.0452) loss_contra: 0.0011 (0.0070) time: 2.7019 data: 0.0054 max mem: 31630 Epoch: [16] [ 800/5278] eta: 3:54:23 lr: 3.1392556106315863e-05 loss: 0.0816 (0.0881) loss_seg: 0.0812 (0.0876) loss_lansim: 0.0432 (0.0452) loss_contra: 0.0013 (0.0070) time: 2.6987 data: 0.0054 max mem: 31630 Epoch: [16] [ 810/5278] eta: 3:53:28 lr: 3.1390311473896164e-05 loss: 0.0812 (0.0880) loss_seg: 0.0806 (0.0875) loss_lansim: 0.0431 (0.0452) loss_contra: 0.0012 (0.0069) time: 2.7035 data: 0.0054 max mem: 31630 Epoch: [16] [ 820/5278] eta: 3:52:34 lr: 3.138806682364215e-05 loss: 0.0800 (0.0880) loss_seg: 0.0795 (0.0875) loss_lansim: 0.0433 (0.0452) loss_contra: 0.0012 (0.0069) time: 2.7039 data: 0.0055 max mem: 31630 Epoch: [16] [ 830/5278] eta: 3:51:39 lr: 3.1385822155552316e-05 loss: 0.0805 (0.0882) loss_seg: 0.0802 (0.0877) loss_lansim: 0.0440 (0.0452) loss_contra: 0.0013 (0.0069) time: 2.7042 data: 0.0055 max mem: 31630 Epoch: [16] [ 840/5278] eta: 3:50:47 lr: 3.1383577469625064e-05 loss: 0.0800 (0.0884) loss_seg: 0.0795 (0.0879) loss_lansim: 0.0440 (0.0452) loss_contra: 0.0012 (0.0069) time: 2.7040 data: 0.0055 max mem: 31630 Epoch: [16] [ 850/5278] eta: 3:49:52 lr: 3.1381332765858844e-05 loss: 0.0775 (0.0883) loss_seg: 0.0769 (0.0878) loss_lansim: 0.0440 (0.0452) loss_contra: 0.0012 (0.0068) time: 2.7007 data: 0.0055 max mem: 31630 Epoch: [16] [ 860/5278] eta: 3:49:01 lr: 3.137908804425211e-05 loss: 0.0775 (0.0883) loss_seg: 0.0769 (0.0878) loss_lansim: 0.0440 (0.0452) loss_contra: 0.0012 (0.0067) time: 2.7036 data: 0.0055 max mem: 31630 Epoch: [16] [ 870/5278] eta: 3:48:08 lr: 3.137684330480328e-05 loss: 0.0761 (0.0882) loss_seg: 0.0756 (0.0877) loss_lansim: 0.0446 (0.0452) loss_contra: 0.0011 (0.0067) time: 2.6989 data: 0.0055 max mem: 31630 Epoch: [16] [ 880/5278] eta: 3:47:16 lr: 3.1374598547510805e-05 loss: 0.0752 (0.0881) loss_seg: 0.0747 (0.0876) loss_lansim: 0.0446 (0.0452) loss_contra: 0.0011 (0.0066) time: 2.7013 data: 0.0055 max mem: 31630 Epoch: [16] [ 890/5278] eta: 3:46:25 lr: 3.1372353772373135e-05 loss: 0.0748 (0.0883) loss_seg: 0.0743 (0.0877) loss_lansim: 0.0445 (0.0452) loss_contra: 0.0011 (0.0066) time: 2.6984 data: 0.0055 max mem: 31630 Epoch: [16] [ 900/5278] eta: 3:45:35 lr: 3.1370108979388684e-05 loss: 0.0752 (0.0883) loss_seg: 0.0747 (0.0878) loss_lansim: 0.0444 (0.0452) loss_contra: 0.0008 (0.0066) time: 2.6990 data: 0.0055 max mem: 31630 Epoch: [16] [ 910/5278] eta: 3:44:46 lr: 3.136786416855592e-05 loss: 0.0762 (0.0882) loss_seg: 0.0755 (0.0876) loss_lansim: 0.0446 (0.0453) loss_contra: 0.0008 (0.0067) time: 2.6996 data: 0.0055 max mem: 31630 Epoch: [16] [ 920/5278] eta: 3:43:55 lr: 3.1365619339873266e-05 loss: 0.0748 (0.0880) loss_seg: 0.0743 (0.0875) loss_lansim: 0.0449 (0.0453) loss_contra: 0.0006 (0.0066) time: 2.6954 data: 0.0055 max mem: 31630 Epoch: [16] [ 930/5278] eta: 3:43:07 lr: 3.136337449333916e-05 loss: 0.0740 (0.0879) loss_seg: 0.0735 (0.0874) loss_lansim: 0.0444 (0.0453) loss_contra: 0.0006 (0.0065) time: 2.6979 data: 0.0055 max mem: 31630 Epoch: [16] [ 940/5278] eta: 3:42:18 lr: 3.136112962895204e-05 loss: 0.0739 (0.0878) loss_seg: 0.0734 (0.0873) loss_lansim: 0.0444 (0.0453) loss_contra: 0.0005 (0.0065) time: 2.6935 data: 0.0055 max mem: 31630 Epoch: [16] [ 950/5278] eta: 3:41:29 lr: 3.135888474671035e-05 loss: 0.0764 (0.0880) loss_seg: 0.0760 (0.0875) loss_lansim: 0.0444 (0.0452) loss_contra: 0.0005 (0.0065) time: 2.6936 data: 0.0055 max mem: 31630 Epoch: [16] [ 960/5278] eta: 3:40:41 lr: 3.1356639846612525e-05 loss: 0.0769 (0.0880) loss_seg: 0.0763 (0.0874) loss_lansim: 0.0444 (0.0452) loss_contra: 0.0005 (0.0064) time: 2.6902 data: 0.0056 max mem: 31630 Epoch: [16] [ 970/5278] eta: 3:39:53 lr: 3.1354394928657e-05 loss: 0.0774 (0.0878) loss_seg: 0.0764 (0.0873) loss_lansim: 0.0441 (0.0452) loss_contra: 0.0006 (0.0064) time: 2.6896 data: 0.0056 max mem: 31630 Epoch: [16] [ 980/5278] eta: 3:39:08 lr: 3.135214999284222e-05 loss: 0.0776 (0.0878) loss_seg: 0.0768 (0.0873) loss_lansim: 0.0437 (0.0452) loss_contra: 0.0005 (0.0063) time: 2.6926 data: 0.0055 max mem: 31630 Epoch: [16] [ 990/5278] eta: 3:38:20 lr: 3.134990503916661e-05 loss: 0.0784 (0.0879) loss_seg: 0.0780 (0.0874) loss_lansim: 0.0440 (0.0451) loss_contra: 0.0005 (0.0063) time: 2.6899 data: 0.0055 max mem: 31630 Epoch: [16] [1000/5278] eta: 3:37:34 lr: 3.1347660067628624e-05 loss: 0.0776 (0.0879) loss_seg: 0.0768 (0.0874) loss_lansim: 0.0433 (0.0451) loss_contra: 0.0005 (0.0063) time: 2.6901 data: 0.0054 max mem: 31630 Epoch: [16] [1010/5278] eta: 3:36:48 lr: 3.134541507822668e-05 loss: 0.0784 (0.0881) loss_seg: 0.0780 (0.0876) loss_lansim: 0.0430 (0.0451) loss_contra: 0.0005 (0.0063) time: 2.6860 data: 0.0054 max mem: 31630 Epoch: [16] [1020/5278] eta: 3:36:03 lr: 3.134317007095922e-05 loss: 0.0798 (0.0882) loss_seg: 0.0794 (0.0877) loss_lansim: 0.0430 (0.0451) loss_contra: 0.0005 (0.0063) time: 2.6897 data: 0.0054 max mem: 31630 Epoch: [16] [1030/5278] eta: 3:35:18 lr: 3.134092504582468e-05 loss: 0.0786 (0.0881) loss_seg: 0.0782 (0.0876) loss_lansim: 0.0435 (0.0451) loss_contra: 0.0006 (0.0063) time: 2.6874 data: 0.0054 max mem: 31630 Epoch: [16] [1040/5278] eta: 3:34:33 lr: 3.1338680002821505e-05 loss: 0.0784 (0.0880) loss_seg: 0.0780 (0.0875) loss_lansim: 0.0435 (0.0451) loss_contra: 0.0006 (0.0062) time: 2.6885 data: 0.0054 max mem: 31630 Epoch: [16] [1050/5278] eta: 3:33:51 lr: 3.133643494194812e-05 loss: 0.0763 (0.0878) loss_seg: 0.0759 (0.0873) loss_lansim: 0.0437 (0.0451) loss_contra: 0.0006 (0.0062) time: 2.6944 data: 0.0054 max mem: 31630 Epoch: [16] [1060/5278] eta: 3:33:06 lr: 3.133418986320296e-05 loss: 0.0784 (0.0879) loss_seg: 0.0780 (0.0874) loss_lansim: 0.0439 (0.0451) loss_contra: 0.0006 (0.0062) time: 2.6917 data: 0.0053 max mem: 31630 Epoch: [16] [1070/5278] eta: 3:32:23 lr: 3.133194476658447e-05 loss: 0.0788 (0.0879) loss_seg: 0.0782 (0.0874) loss_lansim: 0.0443 (0.0452) loss_contra: 0.0006 (0.0062) time: 2.6966 data: 0.0053 max mem: 31630 Epoch: [16] [1080/5278] eta: 3:31:39 lr: 3.1329699652091076e-05 loss: 0.0822 (0.0880) loss_seg: 0.0818 (0.0875) loss_lansim: 0.0445 (0.0452) loss_contra: 0.0006 (0.0062) time: 2.6928 data: 0.0053 max mem: 31630 Epoch: [16] [1090/5278] eta: 3:30:57 lr: 3.132745451972122e-05 loss: 0.0806 (0.0880) loss_seg: 0.0801 (0.0875) loss_lansim: 0.0453 (0.0452) loss_contra: 0.0008 (0.0062) time: 2.6982 data: 0.0053 max mem: 31630 Epoch: [16] [1100/5278] eta: 3:30:15 lr: 3.1325209369473326e-05 loss: 0.0806 (0.0879) loss_seg: 0.0801 (0.0874) loss_lansim: 0.0461 (0.0453) loss_contra: 0.0006 (0.0062) time: 2.6996 data: 0.0053 max mem: 31630 Epoch: [16] [1110/5278] eta: 3:29:32 lr: 3.132296420134582e-05 loss: 0.0795 (0.0878) loss_seg: 0.0791 (0.0873) loss_lansim: 0.0455 (0.0453) loss_contra: 0.0006 (0.0061) time: 2.6998 data: 0.0053 max mem: 31630 Epoch: [16] [1120/5278] eta: 3:28:52 lr: 3.132071901533717e-05 loss: 0.0763 (0.0878) loss_seg: 0.0759 (0.0872) loss_lansim: 0.0455 (0.0453) loss_contra: 0.0006 (0.0061) time: 2.7023 data: 0.0053 max mem: 31630 Epoch: [16] [1130/5278] eta: 3:28:09 lr: 3.131847381144577e-05 loss: 0.0788 (0.0877) loss_seg: 0.0782 (0.0872) loss_lansim: 0.0455 (0.0453) loss_contra: 0.0007 (0.0061) time: 2.7007 data: 0.0053 max mem: 31630 Epoch: [16] [1140/5278] eta: 3:27:29 lr: 3.131622858967008e-05 loss: 0.0757 (0.0876) loss_seg: 0.0753 (0.0871) loss_lansim: 0.0460 (0.0453) loss_contra: 0.0007 (0.0062) time: 2.7051 data: 0.0054 max mem: 31630 Epoch: [16] [1150/5278] eta: 3:26:47 lr: 3.131398335000853e-05 loss: 0.0814 (0.0879) loss_seg: 0.0807 (0.0874) loss_lansim: 0.0460 (0.0453) loss_contra: 0.0008 (0.0062) time: 2.7008 data: 0.0054 max mem: 31630 Epoch: [16] [1160/5278] eta: 3:26:07 lr: 3.1311738092459526e-05 loss: 0.0730 (0.0878) loss_seg: 0.0725 (0.0873) loss_lansim: 0.0460 (0.0453) loss_contra: 0.0008 (0.0065) time: 2.7049 data: 0.0054 max mem: 31630 Epoch: [16] [1170/5278] eta: 3:25:26 lr: 3.1309492817021534e-05 loss: 0.0730 (0.0877) loss_seg: 0.0725 (0.0872) loss_lansim: 0.0455 (0.0453) loss_contra: 0.0008 (0.0065) time: 2.7034 data: 0.0054 max mem: 31630 Epoch: [16] [1180/5278] eta: 3:24:45 lr: 3.1307247523692966e-05 loss: 0.0723 (0.0879) loss_seg: 0.0719 (0.0874) loss_lansim: 0.0451 (0.0453) loss_contra: 0.0008 (0.0065) time: 2.7023 data: 0.0054 max mem: 31630 Epoch: [16] [1190/5278] eta: 3:24:05 lr: 3.130500221247226e-05 loss: 0.0716 (0.0878) loss_seg: 0.0711 (0.0873) loss_lansim: 0.0444 (0.0452) loss_contra: 0.0008 (0.0065) time: 2.7020 data: 0.0054 max mem: 31630 Epoch: [16] [1200/5278] eta: 3:23:24 lr: 3.130275688335786e-05 loss: 0.0714 (0.0878) loss_seg: 0.0708 (0.0873) loss_lansim: 0.0451 (0.0453) loss_contra: 0.0008 (0.0065) time: 2.6988 data: 0.0054 max mem: 31630 Epoch: [16] [1210/5278] eta: 3:22:45 lr: 3.1300511536348174e-05 loss: 0.0723 (0.0879) loss_seg: 0.0719 (0.0874) loss_lansim: 0.0451 (0.0453) loss_contra: 0.0008 (0.0064) time: 2.7022 data: 0.0054 max mem: 31630 Epoch: [16] [1220/5278] eta: 3:22:05 lr: 3.129826617144164e-05 loss: 0.0723 (0.0877) loss_seg: 0.0719 (0.0872) loss_lansim: 0.0444 (0.0452) loss_contra: 0.0009 (0.0064) time: 2.6984 data: 0.0053 max mem: 31630 Epoch: [16] [1230/5278] eta: 3:21:26 lr: 3.12960207886367e-05 loss: 0.0716 (0.0876) loss_seg: 0.0711 (0.0871) loss_lansim: 0.0432 (0.0451) loss_contra: 0.0009 (0.0064) time: 2.7003 data: 0.0053 max mem: 31630 Epoch: [16] [1240/5278] eta: 3:20:47 lr: 3.129377538793177e-05 loss: 0.0752 (0.0876) loss_seg: 0.0741 (0.0871) loss_lansim: 0.0405 (0.0450) loss_contra: 0.0009 (0.0065) time: 2.6966 data: 0.0052 max mem: 31630 Epoch: [16] [1250/5278] eta: 3:20:07 lr: 3.1291529969325304e-05 loss: 0.0718 (0.0877) loss_seg: 0.0714 (0.0871) loss_lansim: 0.0397 (0.0449) loss_contra: 0.0009 (0.0066) time: 2.6952 data: 0.0053 max mem: 31630 Epoch: [16] [1260/5278] eta: 3:19:29 lr: 3.1289284532815696e-05 loss: 0.0727 (0.0877) loss_seg: 0.0723 (0.0872) loss_lansim: 0.0382 (0.0449) loss_contra: 0.0011 (0.0066) time: 2.6973 data: 0.0053 max mem: 31630 Epoch: [16] [1270/5278] eta: 3:18:50 lr: 3.128703907840141e-05 loss: 0.0752 (0.0877) loss_seg: 0.0748 (0.0872) loss_lansim: 0.0375 (0.0448) loss_contra: 0.0011 (0.0066) time: 2.6948 data: 0.0053 max mem: 31630 Epoch: [16] [1280/5278] eta: 3:18:12 lr: 3.1284793606080856e-05 loss: 0.0764 (0.0878) loss_seg: 0.0755 (0.0873) loss_lansim: 0.0356 (0.0447) loss_contra: 0.0011 (0.0067) time: 2.6984 data: 0.0053 max mem: 31630 Epoch: [16] [1290/5278] eta: 3:17:33 lr: 3.128254811585246e-05 loss: 0.0784 (0.0877) loss_seg: 0.0778 (0.0872) loss_lansim: 0.0352 (0.0446) loss_contra: 0.0013 (0.0068) time: 2.6946 data: 0.0053 max mem: 31630 Epoch: [16] [1300/5278] eta: 3:16:55 lr: 3.128030260771466e-05 loss: 0.0790 (0.0877) loss_seg: 0.0786 (0.0872) loss_lansim: 0.0347 (0.0445) loss_contra: 0.0013 (0.0067) time: 2.6977 data: 0.0052 max mem: 31630 Epoch: [16] [1310/5278] eta: 3:16:17 lr: 3.127805708166589e-05 loss: 0.0786 (0.0878) loss_seg: 0.0781 (0.0873) loss_lansim: 0.0345 (0.0445) loss_contra: 0.0015 (0.0067) time: 2.6966 data: 0.0052 max mem: 31630 Epoch: [16] [1320/5278] eta: 3:15:39 lr: 3.1275811537704565e-05 loss: 0.0795 (0.0882) loss_seg: 0.0791 (0.0877) loss_lansim: 0.0349 (0.0444) loss_contra: 0.0013 (0.0067) time: 2.6962 data: 0.0052 max mem: 31630 Epoch: [16] [1330/5278] eta: 3:15:02 lr: 3.127356597582913e-05 loss: 0.0807 (0.0882) loss_seg: 0.0799 (0.0877) loss_lansim: 0.0346 (0.0443) loss_contra: 0.0013 (0.0066) time: 2.6974 data: 0.0052 max mem: 31630 Epoch: [16] [1340/5278] eta: 3:14:24 lr: 3.127132039603799e-05 loss: 0.0822 (0.0883) loss_seg: 0.0819 (0.0878) loss_lansim: 0.0347 (0.0442) loss_contra: 0.0013 (0.0066) time: 2.6956 data: 0.0052 max mem: 31630 Epoch: [16] [1350/5278] eta: 3:13:48 lr: 3.126907479832959e-05 loss: 0.0834 (0.0884) loss_seg: 0.0830 (0.0879) loss_lansim: 0.0346 (0.0442) loss_contra: 0.0013 (0.0066) time: 2.7016 data: 0.0052 max mem: 31630 Epoch: [16] [1360/5278] eta: 3:13:10 lr: 3.126682918270235e-05 loss: 0.0834 (0.0884) loss_seg: 0.0830 (0.0878) loss_lansim: 0.0343 (0.0441) loss_contra: 0.0010 (0.0066) time: 2.6971 data: 0.0052 max mem: 31630 Epoch: [16] [1370/5278] eta: 3:12:33 lr: 3.12645835491547e-05 loss: 0.0839 (0.0884) loss_seg: 0.0836 (0.0879) loss_lansim: 0.0343 (0.0440) loss_contra: 0.0011 (0.0066) time: 2.7007 data: 0.0052 max mem: 31630 Epoch: [16] [1380/5278] eta: 3:11:57 lr: 3.1262337897685065e-05 loss: 0.0827 (0.0884) loss_seg: 0.0823 (0.0879) loss_lansim: 0.0339 (0.0439) loss_contra: 0.0011 (0.0066) time: 2.6997 data: 0.0052 max mem: 31630 Epoch: [16] [1390/5278] eta: 3:11:20 lr: 3.126009222829188e-05 loss: 0.0830 (0.0885) loss_seg: 0.0826 (0.0879) loss_lansim: 0.0332 (0.0438) loss_contra: 0.0010 (0.0066) time: 2.7007 data: 0.0052 max mem: 31630 Epoch: [16] [1400/5278] eta: 3:10:42 lr: 3.125784654097355e-05 loss: 0.0838 (0.0884) loss_seg: 0.0834 (0.0879) loss_lansim: 0.0332 (0.0438) loss_contra: 0.0009 (0.0066) time: 2.6965 data: 0.0052 max mem: 31630 Epoch: [16] [1410/5278] eta: 3:10:03 lr: 3.125560083572853e-05 loss: 0.0830 (0.0883) loss_seg: 0.0826 (0.0878) loss_lansim: 0.0332 (0.0437) loss_contra: 0.0009 (0.0066) time: 2.6877 data: 0.0053 max mem: 31630 Epoch: [16] [1420/5278] eta: 3:09:25 lr: 3.125335511255522e-05 loss: 0.0853 (0.0884) loss_seg: 0.0850 (0.0879) loss_lansim: 0.0327 (0.0436) loss_contra: 0.0008 (0.0065) time: 2.6803 data: 0.0054 max mem: 31630 Epoch: [16] [1430/5278] eta: 3:08:46 lr: 3.1251109371452056e-05 loss: 0.0838 (0.0883) loss_seg: 0.0832 (0.0878) loss_lansim: 0.0327 (0.0436) loss_contra: 0.0009 (0.0066) time: 2.6704 data: 0.0054 max mem: 31630 Epoch: [16] [1440/5278] eta: 3:08:08 lr: 3.1248863612417476e-05 loss: 0.0838 (0.0883) loss_seg: 0.0832 (0.0878) loss_lansim: 0.0327 (0.0435) loss_contra: 0.0011 (0.0067) time: 2.6636 data: 0.0054 max mem: 31630 Epoch: [16] [1450/5278] eta: 3:07:30 lr: 3.124661783544987e-05 loss: 0.0800 (0.0883) loss_seg: 0.0795 (0.0878) loss_lansim: 0.0327 (0.0434) loss_contra: 0.0009 (0.0066) time: 2.6513 data: 0.0055 max mem: 31630 Epoch: [16] [1460/5278] eta: 3:06:52 lr: 3.124437204054771e-05 loss: 0.0803 (0.0883) loss_seg: 0.0799 (0.0878) loss_lansim: 0.0330 (0.0434) loss_contra: 0.0009 (0.0066) time: 2.6446 data: 0.0056 max mem: 31630 Epoch: [16] [1470/5278] eta: 3:06:14 lr: 3.124212622770938e-05 loss: 0.0803 (0.0882) loss_seg: 0.0799 (0.0877) loss_lansim: 0.0327 (0.0433) loss_contra: 0.0008 (0.0067) time: 2.6350 data: 0.0056 max mem: 31630 Epoch: [16] [1480/5278] eta: 3:05:37 lr: 3.123988039693332e-05 loss: 0.0798 (0.0881) loss_seg: 0.0795 (0.0876) loss_lansim: 0.0331 (0.0432) loss_contra: 0.0008 (0.0066) time: 2.6260 data: 0.0057 max mem: 31630 Epoch: [16] [1490/5278] eta: 3:05:00 lr: 3.123763454821796e-05 loss: 0.0796 (0.0881) loss_seg: 0.0792 (0.0876) loss_lansim: 0.0331 (0.0432) loss_contra: 0.0008 (0.0066) time: 2.6191 data: 0.0058 max mem: 31630 Epoch: [16] [1500/5278] eta: 3:04:22 lr: 3.123538868156171e-05 loss: 0.0798 (0.0882) loss_seg: 0.0795 (0.0877) loss_lansim: 0.0333 (0.0431) loss_contra: 0.0009 (0.0069) time: 2.6142 data: 0.0058 max mem: 31630 Epoch: [16] [1510/5278] eta: 3:03:45 lr: 3.1233142796963006e-05 loss: 0.0803 (0.0882) loss_seg: 0.0799 (0.0877) loss_lansim: 0.0332 (0.0431) loss_contra: 0.0008 (0.0068) time: 2.6142 data: 0.0058 max mem: 31630 Epoch: [16] [1520/5278] eta: 3:03:08 lr: 3.123089689442026e-05 loss: 0.0795 (0.0881) loss_seg: 0.0792 (0.0876) loss_lansim: 0.0333 (0.0430) loss_contra: 0.0009 (0.0069) time: 2.6143 data: 0.0058 max mem: 31630 Epoch: [16] [1530/5278] eta: 3:02:31 lr: 3.12286509739319e-05 loss: 0.0803 (0.0882) loss_seg: 0.0799 (0.0877) loss_lansim: 0.0333 (0.0429) loss_contra: 0.0009 (0.0068) time: 2.6143 data: 0.0058 max mem: 31630 Epoch: [16] [1540/5278] eta: 3:01:56 lr: 3.1226405035496356e-05 loss: 0.0807 (0.0882) loss_seg: 0.0804 (0.0877) loss_lansim: 0.0334 (0.0429) loss_contra: 0.0009 (0.0069) time: 2.6198 data: 0.0057 max mem: 31630 Epoch: [16] [1550/5278] eta: 3:01:22 lr: 3.1224159079112037e-05 loss: 0.0803 (0.0882) loss_seg: 0.0800 (0.0877) loss_lansim: 0.0334 (0.0428) loss_contra: 0.0009 (0.0069) time: 2.6294 data: 0.0057 max mem: 31630 Epoch: [16] [1560/5278] eta: 3:00:47 lr: 3.122191310477737e-05 loss: 0.0822 (0.0882) loss_seg: 0.0819 (0.0877) loss_lansim: 0.0331 (0.0428) loss_contra: 0.0008 (0.0068) time: 2.6378 data: 0.0056 max mem: 31630 Epoch: [16] [1570/5278] eta: 3:00:13 lr: 3.1219667112490785e-05 loss: 0.0803 (0.0881) loss_seg: 0.0800 (0.0876) loss_lansim: 0.0332 (0.0427) loss_contra: 0.0007 (0.0068) time: 2.6468 data: 0.0055 max mem: 31630 Epoch: [16] [1580/5278] eta: 2:59:39 lr: 3.121742110225069e-05 loss: 0.0822 (0.0881) loss_seg: 0.0818 (0.0876) loss_lansim: 0.0328 (0.0426) loss_contra: 0.0007 (0.0068) time: 2.6567 data: 0.0055 max mem: 31630 Epoch: [16] [1590/5278] eta: 2:59:05 lr: 3.121517507405551e-05 loss: 0.0803 (0.0880) loss_seg: 0.0800 (0.0875) loss_lansim: 0.0326 (0.0426) loss_contra: 0.0006 (0.0068) time: 2.6667 data: 0.0054 max mem: 31630 Epoch: [16] [1600/5278] eta: 2:58:31 lr: 3.121292902790368e-05 loss: 0.0822 (0.0882) loss_seg: 0.0818 (0.0877) loss_lansim: 0.0324 (0.0425) loss_contra: 0.0007 (0.0069) time: 2.6751 data: 0.0054 max mem: 31630 Epoch: [16] [1610/5278] eta: 2:57:58 lr: 3.121068296379359e-05 loss: 0.0803 (0.0882) loss_seg: 0.0800 (0.0878) loss_lansim: 0.0323 (0.0424) loss_contra: 0.0007 (0.0069) time: 2.6876 data: 0.0054 max mem: 31630 Epoch: [16] [1620/5278] eta: 2:57:24 lr: 3.12084368817237e-05 loss: 0.0822 (0.0882) loss_seg: 0.0818 (0.0877) loss_lansim: 0.0323 (0.0424) loss_contra: 0.0007 (0.0069) time: 2.6933 data: 0.0054 max mem: 31630 Epoch: [16] [1630/5278] eta: 2:56:51 lr: 3.12061907816924e-05 loss: 0.0791 (0.0882) loss_seg: 0.0787 (0.0877) loss_lansim: 0.0322 (0.0423) loss_contra: 0.0007 (0.0069) time: 2.7050 data: 0.0054 max mem: 31630 Epoch: [16] [1640/5278] eta: 2:56:17 lr: 3.1203944663698116e-05 loss: 0.0785 (0.0882) loss_seg: 0.0782 (0.0877) loss_lansim: 0.0318 (0.0422) loss_contra: 0.0007 (0.0069) time: 2.7076 data: 0.0054 max mem: 31630 Epoch: [16] [1650/5278] eta: 2:55:43 lr: 3.120169852773928e-05 loss: 0.0769 (0.0882) loss_seg: 0.0766 (0.0877) loss_lansim: 0.0317 (0.0422) loss_contra: 0.0007 (0.0069) time: 2.7082 data: 0.0055 max mem: 31630 Epoch: [16] [1660/5278] eta: 2:55:10 lr: 3.1199452373814295e-05 loss: 0.0750 (0.0882) loss_seg: 0.0747 (0.0877) loss_lansim: 0.0316 (0.0421) loss_contra: 0.0008 (0.0069) time: 2.7090 data: 0.0055 max mem: 31630 Epoch: [16] [1670/5278] eta: 2:54:36 lr: 3.119720620192159e-05 loss: 0.0750 (0.0881) loss_seg: 0.0747 (0.0876) loss_lansim: 0.0317 (0.0421) loss_contra: 0.0010 (0.0069) time: 2.7057 data: 0.0055 max mem: 31630 Epoch: [16] [1680/5278] eta: 2:54:02 lr: 3.119496001205959e-05 loss: 0.0750 (0.0881) loss_seg: 0.0747 (0.0876) loss_lansim: 0.0319 (0.0420) loss_contra: 0.0010 (0.0069) time: 2.7040 data: 0.0055 max mem: 31630 Epoch: [16] [1690/5278] eta: 2:53:29 lr: 3.119271380422669e-05 loss: 0.0769 (0.0881) loss_seg: 0.0766 (0.0876) loss_lansim: 0.0318 (0.0419) loss_contra: 0.0011 (0.0068) time: 2.6999 data: 0.0055 max mem: 31630 Epoch: [16] [1700/5278] eta: 2:52:56 lr: 3.119046757842134e-05 loss: 0.0760 (0.0881) loss_seg: 0.0756 (0.0876) loss_lansim: 0.0316 (0.0419) loss_contra: 0.0007 (0.0068) time: 2.7022 data: 0.0055 max mem: 31630 Epoch: [16] [1710/5278] eta: 2:52:22 lr: 3.118822133464193e-05 loss: 0.0761 (0.0882) loss_seg: 0.0758 (0.0877) loss_lansim: 0.0317 (0.0418) loss_contra: 0.0008 (0.0068) time: 2.6948 data: 0.0055 max mem: 31630 Epoch: [16] [1720/5278] eta: 2:51:49 lr: 3.1185975072886895e-05 loss: 0.0760 (0.0882) loss_seg: 0.0756 (0.0877) loss_lansim: 0.0316 (0.0418) loss_contra: 0.0007 (0.0068) time: 2.6984 data: 0.0055 max mem: 31630 Epoch: [16] [1730/5278] eta: 2:51:16 lr: 3.1183728793154646e-05 loss: 0.0760 (0.0881) loss_seg: 0.0756 (0.0876) loss_lansim: 0.0319 (0.0417) loss_contra: 0.0007 (0.0068) time: 2.6963 data: 0.0056 max mem: 31630 Epoch: [16] [1740/5278] eta: 2:50:43 lr: 3.1181482495443595e-05 loss: 0.0760 (0.0880) loss_seg: 0.0756 (0.0875) loss_lansim: 0.0320 (0.0417) loss_contra: 0.0007 (0.0068) time: 2.6962 data: 0.0056 max mem: 31630 Epoch: [16] [1750/5278] eta: 2:50:11 lr: 3.117923617975218e-05 loss: 0.0768 (0.0881) loss_seg: 0.0764 (0.0876) loss_lansim: 0.0319 (0.0416) loss_contra: 0.0007 (0.0068) time: 2.6969 data: 0.0055 max mem: 31630 Epoch: [16] [1760/5278] eta: 2:49:37 lr: 3.117698984607879e-05 loss: 0.0761 (0.0880) loss_seg: 0.0758 (0.0875) loss_lansim: 0.0317 (0.0415) loss_contra: 0.0007 (0.0068) time: 2.6932 data: 0.0056 max mem: 31630 Epoch: [16] [1770/5278] eta: 2:49:05 lr: 3.117474349442186e-05 loss: 0.0772 (0.0880) loss_seg: 0.0769 (0.0875) loss_lansim: 0.0314 (0.0415) loss_contra: 0.0007 (0.0068) time: 2.6965 data: 0.0056 max mem: 31630 Epoch: [16] [1780/5278] eta: 2:48:31 lr: 3.1172497124779797e-05 loss: 0.0768 (0.0881) loss_seg: 0.0764 (0.0876) loss_lansim: 0.0312 (0.0414) loss_contra: 0.0008 (0.0068) time: 2.6938 data: 0.0056 max mem: 31630 Epoch: [16] [1790/5278] eta: 2:47:59 lr: 3.117025073715103e-05 loss: 0.0760 (0.0880) loss_seg: 0.0757 (0.0875) loss_lansim: 0.0311 (0.0413) loss_contra: 0.0009 (0.0068) time: 2.6986 data: 0.0056 max mem: 31630 Epoch: [16] [1800/5278] eta: 2:47:26 lr: 3.116800433153395e-05 loss: 0.0773 (0.0881) loss_seg: 0.0770 (0.0876) loss_lansim: 0.0311 (0.0413) loss_contra: 0.0011 (0.0068) time: 2.6958 data: 0.0056 max mem: 31630 Epoch: [16] [1810/5278] eta: 2:46:54 lr: 3.1165757907927e-05 loss: 0.0733 (0.0879) loss_seg: 0.0730 (0.0874) loss_lansim: 0.0309 (0.0412) loss_contra: 0.0011 (0.0068) time: 2.6974 data: 0.0056 max mem: 31630 Epoch: [16] [1820/5278] eta: 2:46:22 lr: 3.116351146632857e-05 loss: 0.0746 (0.0882) loss_seg: 0.0742 (0.0877) loss_lansim: 0.0309 (0.0412) loss_contra: 0.0011 (0.0068) time: 2.6988 data: 0.0056 max mem: 31630 Epoch: [16] [1830/5278] eta: 2:45:49 lr: 3.11612650067371e-05 loss: 0.0760 (0.0881) loss_seg: 0.0757 (0.0877) loss_lansim: 0.0302 (0.0411) loss_contra: 0.0012 (0.0068) time: 2.6970 data: 0.0056 max mem: 31630 Epoch: [16] [1840/5278] eta: 2:45:18 lr: 3.115901852915098e-05 loss: 0.0773 (0.0881) loss_seg: 0.0770 (0.0876) loss_lansim: 0.0303 (0.0410) loss_contra: 0.0010 (0.0067) time: 2.7021 data: 0.0057 max mem: 31630 Epoch: [16] [1850/5278] eta: 2:44:45 lr: 3.115677203356865e-05 loss: 0.0739 (0.0880) loss_seg: 0.0735 (0.0876) loss_lansim: 0.0301 (0.0410) loss_contra: 0.0010 (0.0068) time: 2.7004 data: 0.0056 max mem: 31630 Epoch: [16] [1860/5278] eta: 2:44:13 lr: 3.11545255199885e-05 loss: 0.0739 (0.0880) loss_seg: 0.0735 (0.0875) loss_lansim: 0.0301 (0.0409) loss_contra: 0.0012 (0.0068) time: 2.7018 data: 0.0055 max mem: 31630 Epoch: [16] [1870/5278] eta: 2:43:41 lr: 3.115227898840896e-05 loss: 0.0740 (0.0881) loss_seg: 0.0737 (0.0876) loss_lansim: 0.0302 (0.0409) loss_contra: 0.0012 (0.0069) time: 2.7010 data: 0.0055 max mem: 31630 Epoch: [16] [1880/5278] eta: 2:43:08 lr: 3.1150032438828436e-05 loss: 0.0747 (0.0881) loss_seg: 0.0738 (0.0876) loss_lansim: 0.0300 (0.0408) loss_contra: 0.0016 (0.0072) time: 2.7015 data: 0.0055 max mem: 31630 Epoch: [16] [1890/5278] eta: 2:42:36 lr: 3.114778587124535e-05 loss: 0.0760 (0.0881) loss_seg: 0.0756 (0.0876) loss_lansim: 0.0294 (0.0408) loss_contra: 0.0017 (0.0072) time: 2.7008 data: 0.0055 max mem: 31630 Epoch: [16] [1900/5278] eta: 2:42:06 lr: 3.1145539285658096e-05 loss: 0.0747 (0.0881) loss_seg: 0.0738 (0.0876) loss_lansim: 0.0297 (0.0407) loss_contra: 0.0019 (0.0074) time: 2.7097 data: 0.0055 max mem: 31630 Epoch: [16] [1910/5278] eta: 2:41:35 lr: 3.1143292682065104e-05 loss: 0.0788 (0.0882) loss_seg: 0.0783 (0.0877) loss_lansim: 0.0301 (0.0407) loss_contra: 0.0021 (0.0075) time: 2.7191 data: 0.0055 max mem: 31630 Epoch: [16] [1920/5278] eta: 2:41:03 lr: 3.114104606046478e-05 loss: 0.0788 (0.0882) loss_seg: 0.0783 (0.0877) loss_lansim: 0.0303 (0.0406) loss_contra: 0.0025 (0.0075) time: 2.7147 data: 0.0054 max mem: 31630 Epoch: [16] [1930/5278] eta: 2:40:31 lr: 3.1138799420855535e-05 loss: 0.0803 (0.0883) loss_seg: 0.0799 (0.0878) loss_lansim: 0.0303 (0.0406) loss_contra: 0.0025 (0.0075) time: 2.7182 data: 0.0054 max mem: 31630 Epoch: [16] [1940/5278] eta: 2:40:00 lr: 3.113655276323579e-05 loss: 0.0830 (0.0883) loss_seg: 0.0827 (0.0878) loss_lansim: 0.0307 (0.0405) loss_contra: 0.0025 (0.0075) time: 2.7166 data: 0.0054 max mem: 31630 Epoch: [16] [1950/5278] eta: 2:39:30 lr: 3.113430608760394e-05 loss: 0.0845 (0.0883) loss_seg: 0.0841 (0.0878) loss_lansim: 0.0308 (0.0405) loss_contra: 0.0022 (0.0074) time: 2.7245 data: 0.0055 max mem: 31630 Epoch: [16] [1960/5278] eta: 2:39:01 lr: 3.113205939395842e-05 loss: 0.0876 (0.0883) loss_seg: 0.0872 (0.0878) loss_lansim: 0.0307 (0.0404) loss_contra: 0.0019 (0.0074) time: 2.7410 data: 0.0055 max mem: 31630 Epoch: [16] [1970/5278] eta: 2:38:30 lr: 3.112981268229762e-05 loss: 0.0887 (0.0883) loss_seg: 0.0884 (0.0878) loss_lansim: 0.0311 (0.0404) loss_contra: 0.0015 (0.0074) time: 2.7477 data: 0.0055 max mem: 31630 Epoch: [16] [1980/5278] eta: 2:37:58 lr: 3.1127565952619955e-05 loss: 0.0857 (0.0882) loss_seg: 0.0854 (0.0878) loss_lansim: 0.0311 (0.0404) loss_contra: 0.0010 (0.0074) time: 2.7508 data: 0.0055 max mem: 31630 Epoch: [16] [1990/5278] eta: 2:37:27 lr: 3.112531920492385e-05 loss: 0.0845 (0.0882) loss_seg: 0.0841 (0.0877) loss_lansim: 0.0312 (0.0403) loss_contra: 0.0009 (0.0074) time: 2.7521 data: 0.0055 max mem: 31630 Epoch: [16] [2000/5278] eta: 2:36:56 lr: 3.1123072439207695e-05 loss: 0.0848 (0.0882) loss_seg: 0.0845 (0.0877) loss_lansim: 0.0312 (0.0403) loss_contra: 0.0009 (0.0073) time: 2.7456 data: 0.0055 max mem: 31630 Epoch: [16] [2010/5278] eta: 2:36:24 lr: 3.112082565546991e-05 loss: 0.0845 (0.0882) loss_seg: 0.0841 (0.0877) loss_lansim: 0.0312 (0.0402) loss_contra: 0.0008 (0.0073) time: 2.7367 data: 0.0055 max mem: 31630 Epoch: [16] [2020/5278] eta: 2:35:53 lr: 3.1118578853708906e-05 loss: 0.0808 (0.0881) loss_seg: 0.0804 (0.0876) loss_lansim: 0.0311 (0.0402) loss_contra: 0.0008 (0.0073) time: 2.7401 data: 0.0056 max mem: 31630 Epoch: [16] [2030/5278] eta: 2:35:21 lr: 3.1116332033923087e-05 loss: 0.0785 (0.0882) loss_seg: 0.0782 (0.0877) loss_lansim: 0.0311 (0.0401) loss_contra: 0.0008 (0.0073) time: 2.7374 data: 0.0056 max mem: 31630 Epoch: [16] [2040/5278] eta: 2:34:52 lr: 3.111408519611087e-05 loss: 0.0782 (0.0882) loss_seg: 0.0777 (0.0877) loss_lansim: 0.0311 (0.0401) loss_contra: 0.0007 (0.0073) time: 2.7463 data: 0.0055 max mem: 31630 Epoch: [16] [2050/5278] eta: 2:34:22 lr: 3.111183834027066e-05 loss: 0.0777 (0.0881) loss_seg: 0.0774 (0.0877) loss_lansim: 0.0312 (0.0401) loss_contra: 0.0007 (0.0072) time: 2.7502 data: 0.0055 max mem: 31630 Epoch: [16] [2060/5278] eta: 2:33:53 lr: 3.110959146640086e-05 loss: 0.0773 (0.0881) loss_seg: 0.0770 (0.0876) loss_lansim: 0.0313 (0.0400) loss_contra: 0.0007 (0.0072) time: 2.7455 data: 0.0055 max mem: 31630 Epoch: [16] [2070/5278] eta: 2:33:24 lr: 3.110734457449989e-05 loss: 0.0747 (0.0881) loss_seg: 0.0743 (0.0876) loss_lansim: 0.0312 (0.0400) loss_contra: 0.0009 (0.0072) time: 2.7563 data: 0.0054 max mem: 31630 Epoch: [16] [2080/5278] eta: 2:32:54 lr: 3.1105097664566146e-05 loss: 0.0754 (0.0880) loss_seg: 0.0751 (0.0876) loss_lansim: 0.0319 (0.0400) loss_contra: 0.0010 (0.0072) time: 2.7672 data: 0.0054 max mem: 31630 Epoch: [16] [2090/5278] eta: 2:32:25 lr: 3.1102850736598045e-05 loss: 0.0784 (0.0882) loss_seg: 0.0781 (0.0877) loss_lansim: 0.0318 (0.0399) loss_contra: 0.0011 (0.0072) time: 2.7791 data: 0.0054 max mem: 31630 Epoch: [16] [2100/5278] eta: 2:31:56 lr: 3.1100603790594e-05 loss: 0.0777 (0.0882) loss_seg: 0.0774 (0.0877) loss_lansim: 0.0325 (0.0399) loss_contra: 0.0009 (0.0072) time: 2.7913 data: 0.0055 max mem: 31630 Epoch: [16] [2110/5278] eta: 2:31:27 lr: 3.1098356826552395e-05 loss: 0.0785 (0.0882) loss_seg: 0.0779 (0.0877) loss_lansim: 0.0328 (0.0399) loss_contra: 0.0010 (0.0073) time: 2.8026 data: 0.0055 max mem: 31630 Epoch: [16] [2120/5278] eta: 2:30:58 lr: 3.109610984447166e-05 loss: 0.0749 (0.0880) loss_seg: 0.0745 (0.0876) loss_lansim: 0.0330 (0.0399) loss_contra: 0.0010 (0.0073) time: 2.8183 data: 0.0055 max mem: 31630 Epoch: [16] [2130/5278] eta: 2:30:29 lr: 3.109386284435019e-05 loss: 0.0740 (0.0880) loss_seg: 0.0737 (0.0875) loss_lansim: 0.0330 (0.0398) loss_contra: 0.0009 (0.0073) time: 2.8322 data: 0.0055 max mem: 31630 Epoch: [16] [2140/5278] eta: 2:30:00 lr: 3.1091615826186396e-05 loss: 0.0747 (0.0879) loss_seg: 0.0743 (0.0874) loss_lansim: 0.0334 (0.0398) loss_contra: 0.0012 (0.0073) time: 2.8353 data: 0.0055 max mem: 31630 Epoch: [16] [2150/5278] eta: 2:29:31 lr: 3.108936878997869e-05 loss: 0.0749 (0.0879) loss_seg: 0.0745 (0.0875) loss_lansim: 0.0334 (0.0398) loss_contra: 0.0012 (0.0073) time: 2.8397 data: 0.0055 max mem: 31630 Epoch: [16] [2160/5278] eta: 2:29:02 lr: 3.108712173572546e-05 loss: 0.0751 (0.0879) loss_seg: 0.0747 (0.0874) loss_lansim: 0.0333 (0.0397) loss_contra: 0.0010 (0.0073) time: 2.8415 data: 0.0055 max mem: 31630 Epoch: [16] [2170/5278] eta: 2:28:33 lr: 3.108487466342514e-05 loss: 0.0778 (0.0881) loss_seg: 0.0762 (0.0876) loss_lansim: 0.0335 (0.0397) loss_contra: 0.0012 (0.0072) time: 2.8418 data: 0.0055 max mem: 31630 Epoch: [16] [2180/5278] eta: 2:28:04 lr: 3.1082627573076105e-05 loss: 0.0778 (0.0880) loss_seg: 0.0762 (0.0876) loss_lansim: 0.0331 (0.0397) loss_contra: 0.0012 (0.0072) time: 2.8437 data: 0.0055 max mem: 31630 Epoch: [16] [2190/5278] eta: 2:27:35 lr: 3.108038046467678e-05 loss: 0.0769 (0.0881) loss_seg: 0.0762 (0.0876) loss_lansim: 0.0332 (0.0397) loss_contra: 0.0012 (0.0072) time: 2.8422 data: 0.0055 max mem: 31630 Epoch: [16] [2200/5278] eta: 2:27:06 lr: 3.107813333822557e-05 loss: 0.0761 (0.0881) loss_seg: 0.0755 (0.0876) loss_lansim: 0.0332 (0.0396) loss_contra: 0.0012 (0.0072) time: 2.8412 data: 0.0054 max mem: 31630 Epoch: [16] [2210/5278] eta: 2:26:36 lr: 3.107588619372086e-05 loss: 0.0751 (0.0880) loss_seg: 0.0747 (0.0875) loss_lansim: 0.0335 (0.0396) loss_contra: 0.0010 (0.0071) time: 2.8401 data: 0.0054 max mem: 31630 Epoch: [16] [2220/5278] eta: 2:26:07 lr: 3.1073639031161075e-05 loss: 0.0780 (0.0880) loss_seg: 0.0777 (0.0876) loss_lansim: 0.0335 (0.0396) loss_contra: 0.0008 (0.0071) time: 2.8414 data: 0.0054 max mem: 31630 Epoch: [16] [2230/5278] eta: 2:25:38 lr: 3.1071391850544614e-05 loss: 0.0789 (0.0880) loss_seg: 0.0786 (0.0875) loss_lansim: 0.0336 (0.0396) loss_contra: 0.0009 (0.0071) time: 2.8386 data: 0.0054 max mem: 31630 Epoch: [16] [2240/5278] eta: 2:25:09 lr: 3.106914465186987e-05 loss: 0.0789 (0.0880) loss_seg: 0.0786 (0.0876) loss_lansim: 0.0336 (0.0396) loss_contra: 0.0008 (0.0071) time: 2.8405 data: 0.0054 max mem: 31630 Epoch: [16] [2250/5278] eta: 2:24:40 lr: 3.106689743513527e-05 loss: 0.0780 (0.0880) loss_seg: 0.0777 (0.0875) loss_lansim: 0.0336 (0.0395) loss_contra: 0.0008 (0.0072) time: 2.8349 data: 0.0055 max mem: 31630 Epoch: [16] [2260/5278] eta: 2:24:11 lr: 3.10646502003392e-05 loss: 0.0789 (0.0879) loss_seg: 0.0785 (0.0874) loss_lansim: 0.0341 (0.0395) loss_contra: 0.0010 (0.0072) time: 2.8366 data: 0.0055 max mem: 31630 Epoch: [16] [2270/5278] eta: 2:23:42 lr: 3.1062402947480065e-05 loss: 0.0789 (0.0880) loss_seg: 0.0785 (0.0876) loss_lansim: 0.0346 (0.0395) loss_contra: 0.0006 (0.0072) time: 2.8349 data: 0.0056 max mem: 31630 Epoch: [16] [2280/5278] eta: 2:23:13 lr: 3.1060155676556265e-05 loss: 0.0817 (0.0882) loss_seg: 0.0814 (0.0877) loss_lansim: 0.0350 (0.0395) loss_contra: 0.0007 (0.0072) time: 2.8353 data: 0.0057 max mem: 31630 Epoch: [16] [2290/5278] eta: 2:22:44 lr: 3.105790838756621e-05 loss: 0.0823 (0.0884) loss_seg: 0.0819 (0.0879) loss_lansim: 0.0358 (0.0395) loss_contra: 0.0008 (0.0071) time: 2.8403 data: 0.0058 max mem: 31630 Epoch: [16] [2300/5278] eta: 2:22:16 lr: 3.1055661080508294e-05 loss: 0.0844 (0.0884) loss_seg: 0.0841 (0.0880) loss_lansim: 0.0359 (0.0395) loss_contra: 0.0010 (0.0073) time: 2.8427 data: 0.0058 max mem: 31630 Epoch: [16] [2310/5278] eta: 2:21:47 lr: 3.105341375538093e-05 loss: 0.0861 (0.0884) loss_seg: 0.0856 (0.0879) loss_lansim: 0.0359 (0.0395) loss_contra: 0.0010 (0.0072) time: 2.8466 data: 0.0058 max mem: 31630 Epoch: [16] [2320/5278] eta: 2:21:18 lr: 3.105116641218251e-05 loss: 0.0861 (0.0884) loss_seg: 0.0856 (0.0880) loss_lansim: 0.0363 (0.0395) loss_contra: 0.0012 (0.0072) time: 2.8439 data: 0.0058 max mem: 31630 Epoch: [16] [2330/5278] eta: 2:20:49 lr: 3.104891905091144e-05 loss: 0.0853 (0.0884) loss_seg: 0.0850 (0.0880) loss_lansim: 0.0367 (0.0395) loss_contra: 0.0011 (0.0072) time: 2.8482 data: 0.0058 max mem: 31630 Epoch: [16] [2340/5278] eta: 2:20:20 lr: 3.104667167156612e-05 loss: 0.0861 (0.0884) loss_seg: 0.0856 (0.0880) loss_lansim: 0.0374 (0.0395) loss_contra: 0.0011 (0.0072) time: 2.8491 data: 0.0058 max mem: 31630 Epoch: [16] [2350/5278] eta: 2:19:52 lr: 3.104442427414495e-05 loss: 0.0869 (0.0885) loss_seg: 0.0865 (0.0881) loss_lansim: 0.0381 (0.0395) loss_contra: 0.0012 (0.0072) time: 2.8538 data: 0.0058 max mem: 31630 Epoch: [16] [2360/5278] eta: 2:19:23 lr: 3.104217685864633e-05 loss: 0.0880 (0.0885) loss_seg: 0.0872 (0.0881) loss_lansim: 0.0384 (0.0395) loss_contra: 0.0010 (0.0072) time: 2.8546 data: 0.0057 max mem: 31630 Epoch: [16] [2370/5278] eta: 2:18:54 lr: 3.1039929425068665e-05 loss: 0.0869 (0.0885) loss_seg: 0.0865 (0.0880) loss_lansim: 0.0383 (0.0395) loss_contra: 0.0012 (0.0073) time: 2.8563 data: 0.0057 max mem: 31630 Epoch: [16] [2380/5278] eta: 2:18:25 lr: 3.103768197341035e-05 loss: 0.0853 (0.0884) loss_seg: 0.0850 (0.0880) loss_lansim: 0.0383 (0.0395) loss_contra: 0.0009 (0.0074) time: 2.8560 data: 0.0056 max mem: 31630 Epoch: [16] [2390/5278] eta: 2:17:57 lr: 3.103543450366979e-05 loss: 0.0813 (0.0884) loss_seg: 0.0808 (0.0879) loss_lansim: 0.0382 (0.0395) loss_contra: 0.0009 (0.0074) time: 2.8561 data: 0.0056 max mem: 31630 Epoch: [16] [2400/5278] eta: 2:17:27 lr: 3.1033187015845375e-05 loss: 0.0791 (0.0884) loss_seg: 0.0787 (0.0879) loss_lansim: 0.0381 (0.0395) loss_contra: 0.0009 (0.0074) time: 2.8536 data: 0.0056 max mem: 31630 Epoch: [16] [2410/5278] eta: 2:16:59 lr: 3.103093950993552e-05 loss: 0.0805 (0.0884) loss_seg: 0.0800 (0.0880) loss_lansim: 0.0385 (0.0395) loss_contra: 0.0009 (0.0074) time: 2.8569 data: 0.0057 max mem: 31630 Epoch: [16] [2420/5278] eta: 2:16:30 lr: 3.1028691985938604e-05 loss: 0.0791 (0.0885) loss_seg: 0.0787 (0.0880) loss_lansim: 0.0388 (0.0395) loss_contra: 0.0009 (0.0075) time: 2.8569 data: 0.0056 max mem: 31630 Epoch: [16] [2430/5278] eta: 2:16:01 lr: 3.102644444385305e-05 loss: 0.0805 (0.0885) loss_seg: 0.0800 (0.0880) loss_lansim: 0.0391 (0.0395) loss_contra: 0.0013 (0.0075) time: 2.8593 data: 0.0056 max mem: 31630 Epoch: [16] [2440/5278] eta: 2:15:33 lr: 3.1024196883677235e-05 loss: 0.0838 (0.0886) loss_seg: 0.0834 (0.0881) loss_lansim: 0.0388 (0.0395) loss_contra: 0.0014 (0.0075) time: 2.8583 data: 0.0056 max mem: 31630 Epoch: [16] [2450/5278] eta: 2:15:04 lr: 3.1021949305409556e-05 loss: 0.0822 (0.0886) loss_seg: 0.0817 (0.0881) loss_lansim: 0.0388 (0.0395) loss_contra: 0.0014 (0.0075) time: 2.8612 data: 0.0056 max mem: 31630 Epoch: [16] [2460/5278] eta: 2:14:36 lr: 3.101970170904844e-05 loss: 0.0832 (0.0886) loss_seg: 0.0822 (0.0881) loss_lansim: 0.0386 (0.0395) loss_contra: 0.0014 (0.0075) time: 2.8635 data: 0.0056 max mem: 31630 Epoch: [16] [2470/5278] eta: 2:14:07 lr: 3.101745409459225e-05 loss: 0.0850 (0.0887) loss_seg: 0.0846 (0.0882) loss_lansim: 0.0390 (0.0395) loss_contra: 0.0014 (0.0075) time: 2.8662 data: 0.0057 max mem: 31630 Epoch: [16] [2480/5278] eta: 2:13:39 lr: 3.10152064620394e-05 loss: 0.0845 (0.0887) loss_seg: 0.0840 (0.0882) loss_lansim: 0.0390 (0.0395) loss_contra: 0.0015 (0.0075) time: 2.8718 data: 0.0056 max mem: 31630 Epoch: [16] [2490/5278] eta: 2:13:10 lr: 3.101295881138829e-05 loss: 0.0850 (0.0887) loss_seg: 0.0846 (0.0882) loss_lansim: 0.0392 (0.0395) loss_contra: 0.0016 (0.0075) time: 2.8689 data: 0.0056 max mem: 31630 Epoch: [16] [2500/5278] eta: 2:12:42 lr: 3.1010711142637314e-05 loss: 0.0888 (0.0888) loss_seg: 0.0885 (0.0883) loss_lansim: 0.0401 (0.0395) loss_contra: 0.0014 (0.0075) time: 2.8744 data: 0.0056 max mem: 31630 Epoch: [16] [2510/5278] eta: 2:12:14 lr: 3.1008463455784856e-05 loss: 0.0850 (0.0887) loss_seg: 0.0846 (0.0883) loss_lansim: 0.0401 (0.0395) loss_contra: 0.0015 (0.0075) time: 2.8793 data: 0.0056 max mem: 31630 Epoch: [16] [2520/5278] eta: 2:11:45 lr: 3.100621575082933e-05 loss: 0.0850 (0.0887) loss_seg: 0.0846 (0.0882) loss_lansim: 0.0403 (0.0395) loss_contra: 0.0013 (0.0075) time: 2.8804 data: 0.0057 max mem: 31630 Epoch: [16] [2530/5278] eta: 2:11:18 lr: 3.100396802776912e-05 loss: 0.0850 (0.0887) loss_seg: 0.0846 (0.0882) loss_lansim: 0.0402 (0.0395) loss_contra: 0.0013 (0.0075) time: 2.8970 data: 0.0057 max mem: 31630 Epoch: [16] [2540/5278] eta: 2:10:52 lr: 3.100172028660264e-05 loss: 0.0824 (0.0887) loss_seg: 0.0819 (0.0882) loss_lansim: 0.0405 (0.0395) loss_contra: 0.0012 (0.0075) time: 2.9179 data: 0.0057 max mem: 31630 Epoch: [16] [2550/5278] eta: 2:10:25 lr: 3.099947252732825e-05 loss: 0.0824 (0.0886) loss_seg: 0.0819 (0.0882) loss_lansim: 0.0405 (0.0395) loss_contra: 0.0010 (0.0075) time: 2.9336 data: 0.0058 max mem: 31630 Epoch: [16] [2560/5278] eta: 2:09:57 lr: 3.0997224749944385e-05 loss: 0.0795 (0.0886) loss_seg: 0.0791 (0.0882) loss_lansim: 0.0402 (0.0395) loss_contra: 0.0009 (0.0074) time: 2.9433 data: 0.0058 max mem: 31630 Epoch: [16] [2570/5278] eta: 2:09:31 lr: 3.099497695444942e-05 loss: 0.0793 (0.0886) loss_seg: 0.0788 (0.0882) loss_lansim: 0.0402 (0.0395) loss_contra: 0.0009 (0.0075) time: 2.9587 data: 0.0058 max mem: 31630 Epoch: [16] [2580/5278] eta: 2:09:02 lr: 3.099272914084175e-05 loss: 0.0795 (0.0887) loss_seg: 0.0791 (0.0882) loss_lansim: 0.0401 (0.0395) loss_contra: 0.0010 (0.0074) time: 2.9611 data: 0.0059 max mem: 31630 Epoch: [16] [2590/5278] eta: 2:08:36 lr: 3.099048130911977e-05 loss: 0.0795 (0.0887) loss_seg: 0.0791 (0.0882) loss_lansim: 0.0401 (0.0395) loss_contra: 0.0008 (0.0074) time: 2.9821 data: 0.0059 max mem: 31630 Epoch: [16] [2600/5278] eta: 2:08:08 lr: 3.098823345928188e-05 loss: 0.0820 (0.0887) loss_seg: 0.0816 (0.0882) loss_lansim: 0.0399 (0.0395) loss_contra: 0.0008 (0.0074) time: 2.9923 data: 0.0059 max mem: 31630 Epoch: [16] [2610/5278] eta: 2:07:41 lr: 3.0985985591326464e-05 loss: 0.0795 (0.0887) loss_seg: 0.0791 (0.0882) loss_lansim: 0.0399 (0.0395) loss_contra: 0.0007 (0.0074) time: 3.0007 data: 0.0058 max mem: 31630 Epoch: [16] [2620/5278] eta: 2:07:13 lr: 3.098373770525192e-05 loss: 0.0840 (0.0888) loss_seg: 0.0836 (0.0883) loss_lansim: 0.0399 (0.0395) loss_contra: 0.0007 (0.0074) time: 3.0153 data: 0.0058 max mem: 31630 Epoch: [16] [2630/5278] eta: 2:06:46 lr: 3.098148980105665e-05 loss: 0.0840 (0.0888) loss_seg: 0.0836 (0.0883) loss_lansim: 0.0399 (0.0396) loss_contra: 0.0007 (0.0073) time: 3.0106 data: 0.0058 max mem: 31630 Epoch: [16] [2640/5278] eta: 2:06:19 lr: 3.097924187873903e-05 loss: 0.0833 (0.0888) loss_seg: 0.0829 (0.0883) loss_lansim: 0.0394 (0.0396) loss_contra: 0.0008 (0.0076) time: 3.0055 data: 0.0058 max mem: 31630 Epoch: [16] [2650/5278] eta: 2:05:51 lr: 3.097699393829747e-05 loss: 0.0819 (0.0888) loss_seg: 0.0815 (0.0883) loss_lansim: 0.0394 (0.0396) loss_contra: 0.0010 (0.0076) time: 3.0022 data: 0.0057 max mem: 31630 Epoch: [16] [2660/5278] eta: 2:05:24 lr: 3.097474597973034e-05 loss: 0.0811 (0.0887) loss_seg: 0.0806 (0.0882) loss_lansim: 0.0399 (0.0396) loss_contra: 0.0012 (0.0076) time: 3.0024 data: 0.0057 max mem: 31630 Epoch: [16] [2670/5278] eta: 2:04:56 lr: 3.097249800303607e-05 loss: 0.0819 (0.0887) loss_seg: 0.0815 (0.0882) loss_lansim: 0.0397 (0.0396) loss_contra: 0.0012 (0.0076) time: 2.9929 data: 0.0057 max mem: 31630 Epoch: [16] [2680/5278] eta: 2:04:29 lr: 3.097025000821301e-05 loss: 0.0833 (0.0887) loss_seg: 0.0829 (0.0883) loss_lansim: 0.0397 (0.0395) loss_contra: 0.0012 (0.0076) time: 3.0104 data: 0.0056 max mem: 31630 Epoch: [16] [2690/5278] eta: 2:04:01 lr: 3.0968001995259574e-05 loss: 0.0815 (0.0887) loss_seg: 0.0808 (0.0882) loss_lansim: 0.0399 (0.0396) loss_contra: 0.0014 (0.0076) time: 2.9962 data: 0.0056 max mem: 31630 Epoch: [16] [2700/5278] eta: 2:03:33 lr: 3.096575396417416e-05 loss: 0.0819 (0.0887) loss_seg: 0.0815 (0.0882) loss_lansim: 0.0401 (0.0396) loss_contra: 0.0013 (0.0076) time: 2.9996 data: 0.0056 max mem: 31630 Epoch: [16] [2710/5278] eta: 2:03:06 lr: 3.096350591495514e-05 loss: 0.0841 (0.0887) loss_seg: 0.0835 (0.0882) loss_lansim: 0.0403 (0.0396) loss_contra: 0.0013 (0.0076) time: 3.0045 data: 0.0056 max mem: 31630 Epoch: [16] [2720/5278] eta: 2:02:39 lr: 3.0961257847600914e-05 loss: 0.0819 (0.0887) loss_seg: 0.0815 (0.0882) loss_lansim: 0.0400 (0.0396) loss_contra: 0.0020 (0.0076) time: 3.0057 data: 0.0057 max mem: 31630 Epoch: [16] [2730/5278] eta: 2:02:11 lr: 3.095900976210988e-05 loss: 0.0841 (0.0887) loss_seg: 0.0835 (0.0882) loss_lansim: 0.0398 (0.0396) loss_contra: 0.0020 (0.0076) time: 3.0040 data: 0.0057 max mem: 31630 Epoch: [16] [2740/5278] eta: 2:01:45 lr: 3.0956761658480406e-05 loss: 0.0857 (0.0887) loss_seg: 0.0851 (0.0882) loss_lansim: 0.0396 (0.0396) loss_contra: 0.0020 (0.0076) time: 3.0166 data: 0.0057 max mem: 31630 Epoch: [16] [2750/5278] eta: 2:01:17 lr: 3.095451353671091e-05 loss: 0.0875 (0.0887) loss_seg: 0.0871 (0.0882) loss_lansim: 0.0394 (0.0396) loss_contra: 0.0016 (0.0076) time: 3.0102 data: 0.0058 max mem: 31630 Epoch: [16] [2760/5278] eta: 2:00:49 lr: 3.095226539679976e-05 loss: 0.0919 (0.0887) loss_seg: 0.0914 (0.0882) loss_lansim: 0.0392 (0.0396) loss_contra: 0.0014 (0.0076) time: 3.0194 data: 0.0058 max mem: 31630 Epoch: [16] [2770/5278] eta: 2:00:23 lr: 3.095001723874536e-05 loss: 0.0925 (0.0887) loss_seg: 0.0919 (0.0882) loss_lansim: 0.0388 (0.0396) loss_contra: 0.0014 (0.0076) time: 3.0342 data: 0.0059 max mem: 31630 Epoch: [16] [2780/5278] eta: 1:59:55 lr: 3.0947769062546096e-05 loss: 0.0857 (0.0886) loss_seg: 0.0851 (0.0882) loss_lansim: 0.0385 (0.0396) loss_contra: 0.0014 (0.0075) time: 3.0289 data: 0.0061 max mem: 31630 Epoch: [16] [2790/5278] eta: 1:59:27 lr: 3.094552086820035e-05 loss: 0.0859 (0.0886) loss_seg: 0.0855 (0.0881) loss_lansim: 0.0381 (0.0396) loss_contra: 0.0014 (0.0075) time: 3.0335 data: 0.0061 max mem: 31630 Epoch: [16] [2800/5278] eta: 1:59:00 lr: 3.094327265570651e-05 loss: 0.0835 (0.0886) loss_seg: 0.0831 (0.0882) loss_lansim: 0.0376 (0.0395) loss_contra: 0.0015 (0.0075) time: 3.0342 data: 0.0061 max mem: 31630 Epoch: [16] [2810/5278] eta: 1:58:32 lr: 3.094102442506298e-05 loss: 0.0803 (0.0886) loss_seg: 0.0799 (0.0881) loss_lansim: 0.0373 (0.0395) loss_contra: 0.0015 (0.0075) time: 3.0258 data: 0.0062 max mem: 31630 Epoch: [16] [2820/5278] eta: 1:58:05 lr: 3.093877617626812e-05 loss: 0.0808 (0.0887) loss_seg: 0.0805 (0.0882) loss_lansim: 0.0368 (0.0395) loss_contra: 0.0013 (0.0075) time: 3.0306 data: 0.0062 max mem: 31630 Epoch: [16] [2830/5278] eta: 1:57:37 lr: 3.0936527909320353e-05 loss: 0.0803 (0.0886) loss_seg: 0.0799 (0.0882) loss_lansim: 0.0368 (0.0395) loss_contra: 0.0013 (0.0075) time: 3.0324 data: 0.0062 max mem: 31630 Epoch: [16] [2840/5278] eta: 1:57:08 lr: 3.0934279624218046e-05 loss: 0.0803 (0.0886) loss_seg: 0.0799 (0.0882) loss_lansim: 0.0367 (0.0395) loss_contra: 0.0013 (0.0075) time: 3.0131 data: 0.0061 max mem: 31630 Epoch: [16] [2850/5278] eta: 1:56:41 lr: 3.093203132095959e-05 loss: 0.0803 (0.0887) loss_seg: 0.0799 (0.0882) loss_lansim: 0.0370 (0.0395) loss_contra: 0.0013 (0.0075) time: 3.0250 data: 0.0061 max mem: 31630 Epoch: [16] [2860/5278] eta: 1:56:12 lr: 3.0929782999543365e-05 loss: 0.0790 (0.0888) loss_seg: 0.0786 (0.0883) loss_lansim: 0.0367 (0.0395) loss_contra: 0.0013 (0.0075) time: 3.0090 data: 0.0060 max mem: 31630 Epoch: [16] [2870/5278] eta: 1:55:45 lr: 3.0927534659967765e-05 loss: 0.0775 (0.0888) loss_seg: 0.0770 (0.0883) loss_lansim: 0.0371 (0.0395) loss_contra: 0.0013 (0.0075) time: 3.0069 data: 0.0061 max mem: 31630 Epoch: [16] [2880/5278] eta: 1:55:18 lr: 3.0925286302231176e-05 loss: 0.0773 (0.0887) loss_seg: 0.0769 (0.0883) loss_lansim: 0.0371 (0.0395) loss_contra: 0.0012 (0.0075) time: 3.0046 data: 0.0060 max mem: 31630 Epoch: [16] [2890/5278] eta: 1:54:50 lr: 3.0923037926331985e-05 loss: 0.0775 (0.0887) loss_seg: 0.0770 (0.0883) loss_lansim: 0.0371 (0.0395) loss_contra: 0.0006 (0.0074) time: 3.0083 data: 0.0060 max mem: 31630 Epoch: [16] [2900/5278] eta: 1:54:21 lr: 3.092078953226857e-05 loss: 0.0773 (0.0888) loss_seg: 0.0769 (0.0883) loss_lansim: 0.0377 (0.0395) loss_contra: 0.0006 (0.0074) time: 2.9994 data: 0.0059 max mem: 31630 Epoch: [16] [2910/5278] eta: 1:53:54 lr: 3.091854112003934e-05 loss: 0.0790 (0.0888) loss_seg: 0.0786 (0.0883) loss_lansim: 0.0385 (0.0395) loss_contra: 0.0007 (0.0074) time: 3.0121 data: 0.0059 max mem: 31630 Epoch: [16] [2920/5278] eta: 1:53:26 lr: 3.091629268964265e-05 loss: 0.0790 (0.0889) loss_seg: 0.0786 (0.0884) loss_lansim: 0.0395 (0.0395) loss_contra: 0.0006 (0.0074) time: 3.0006 data: 0.0059 max mem: 31630 Epoch: [16] [2930/5278] eta: 1:52:58 lr: 3.09140442410769e-05 loss: 0.0796 (0.0888) loss_seg: 0.0792 (0.0884) loss_lansim: 0.0400 (0.0395) loss_contra: 0.0006 (0.0074) time: 3.0039 data: 0.0059 max mem: 31630 Epoch: [16] [2940/5278] eta: 1:52:30 lr: 3.091179577434048e-05 loss: 0.0806 (0.0888) loss_seg: 0.0803 (0.0884) loss_lansim: 0.0400 (0.0395) loss_contra: 0.0006 (0.0074) time: 3.0034 data: 0.0059 max mem: 31630 Epoch: [16] [2950/5278] eta: 1:52:02 lr: 3.090954728943176e-05 loss: 0.0811 (0.0889) loss_seg: 0.0807 (0.0884) loss_lansim: 0.0400 (0.0395) loss_contra: 0.0005 (0.0073) time: 3.0061 data: 0.0059 max mem: 31630 Epoch: [16] [2960/5278] eta: 1:51:34 lr: 3.0907298786349145e-05 loss: 0.0811 (0.0889) loss_seg: 0.0807 (0.0884) loss_lansim: 0.0400 (0.0395) loss_contra: 0.0006 (0.0073) time: 3.0116 data: 0.0059 max mem: 31630 Epoch: [16] [2970/5278] eta: 1:51:07 lr: 3.0905050265090995e-05 loss: 0.0822 (0.0889) loss_seg: 0.0817 (0.0884) loss_lansim: 0.0400 (0.0395) loss_contra: 0.0006 (0.0073) time: 3.0093 data: 0.0058 max mem: 31630 Epoch: [16] [2980/5278] eta: 1:50:38 lr: 3.090280172565571e-05 loss: 0.0822 (0.0888) loss_seg: 0.0817 (0.0884) loss_lansim: 0.0392 (0.0395) loss_contra: 0.0007 (0.0073) time: 3.0066 data: 0.0057 max mem: 31630 Epoch: [16] [2990/5278] eta: 1:50:11 lr: 3.0900553168041665e-05 loss: 0.0829 (0.0889) loss_seg: 0.0825 (0.0884) loss_lansim: 0.0392 (0.0395) loss_contra: 0.0007 (0.0073) time: 3.0100 data: 0.0058 max mem: 31630 Epoch: [16] [3000/5278] eta: 1:49:42 lr: 3.089830459224725e-05 loss: 0.0829 (0.0889) loss_seg: 0.0824 (0.0884) loss_lansim: 0.0388 (0.0395) loss_contra: 0.0007 (0.0073) time: 3.0127 data: 0.0057 max mem: 31630 Epoch: [16] [3010/5278] eta: 1:49:14 lr: 3.0896055998270843e-05 loss: 0.0829 (0.0889) loss_seg: 0.0824 (0.0884) loss_lansim: 0.0382 (0.0395) loss_contra: 0.0007 (0.0073) time: 3.0040 data: 0.0057 max mem: 31630 Epoch: [16] [3020/5278] eta: 1:48:46 lr: 3.089380738611083e-05 loss: 0.0829 (0.0888) loss_seg: 0.0824 (0.0884) loss_lansim: 0.0381 (0.0395) loss_contra: 0.0007 (0.0073) time: 3.0090 data: 0.0057 max mem: 31630 Epoch: [16] [3030/5278] eta: 1:48:18 lr: 3.0891558755765594e-05 loss: 0.0822 (0.0888) loss_seg: 0.0817 (0.0884) loss_lansim: 0.0384 (0.0395) loss_contra: 0.0007 (0.0072) time: 3.0059 data: 0.0056 max mem: 31630 Epoch: [16] [3040/5278] eta: 1:47:50 lr: 3.0889310107233514e-05 loss: 0.0790 (0.0888) loss_seg: 0.0785 (0.0883) loss_lansim: 0.0386 (0.0395) loss_contra: 0.0007 (0.0072) time: 3.0113 data: 0.0056 max mem: 31630 Epoch: [16] [3050/5278] eta: 1:47:22 lr: 3.0887061440512973e-05 loss: 0.0790 (0.0888) loss_seg: 0.0785 (0.0884) loss_lansim: 0.0388 (0.0395) loss_contra: 0.0008 (0.0072) time: 3.0018 data: 0.0056 max mem: 31630 Epoch: [16] [3060/5278] eta: 1:46:54 lr: 3.0884812755602346e-05 loss: 0.0799 (0.0888) loss_seg: 0.0795 (0.0884) loss_lansim: 0.0393 (0.0395) loss_contra: 0.0007 (0.0072) time: 3.0103 data: 0.0056 max mem: 31630 Epoch: [16] [3070/5278] eta: 1:46:26 lr: 3.0882564052500033e-05 loss: 0.0791 (0.0888) loss_seg: 0.0787 (0.0883) loss_lansim: 0.0396 (0.0395) loss_contra: 0.0008 (0.0073) time: 3.0012 data: 0.0056 max mem: 31630 Epoch: [16] [3080/5278] eta: 1:45:58 lr: 3.0880315331204395e-05 loss: 0.0841 (0.0888) loss_seg: 0.0837 (0.0883) loss_lansim: 0.0404 (0.0395) loss_contra: 0.0008 (0.0073) time: 3.0080 data: 0.0056 max mem: 31630 Epoch: [16] [3090/5278] eta: 1:45:30 lr: 3.0878066591713824e-05 loss: 0.0799 (0.0888) loss_seg: 0.0795 (0.0883) loss_lansim: 0.0400 (0.0395) loss_contra: 0.0008 (0.0073) time: 3.0089 data: 0.0056 max mem: 31630 Epoch: [16] [3100/5278] eta: 1:45:03 lr: 3.08758178340267e-05 loss: 0.0790 (0.0888) loss_seg: 0.0786 (0.0883) loss_lansim: 0.0400 (0.0395) loss_contra: 0.0008 (0.0072) time: 3.0233 data: 0.0057 max mem: 31630 Epoch: [16] [3110/5278] eta: 1:44:35 lr: 3.087356905814139e-05 loss: 0.0790 (0.0887) loss_seg: 0.0786 (0.0883) loss_lansim: 0.0404 (0.0396) loss_contra: 0.0008 (0.0072) time: 3.0231 data: 0.0056 max mem: 31630 Epoch: [16] [3120/5278] eta: 1:44:07 lr: 3.087132026405629e-05 loss: 0.0814 (0.0888) loss_seg: 0.0809 (0.0883) loss_lansim: 0.0408 (0.0396) loss_contra: 0.0009 (0.0072) time: 3.0271 data: 0.0056 max mem: 31630 Epoch: [16] [3130/5278] eta: 1:43:39 lr: 3.086907145176977e-05 loss: 0.0814 (0.0888) loss_seg: 0.0809 (0.0883) loss_lansim: 0.0410 (0.0396) loss_contra: 0.0010 (0.0072) time: 3.0287 data: 0.0056 max mem: 31630 Epoch: [16] [3140/5278] eta: 1:43:11 lr: 3.0866822621280216e-05 loss: 0.0846 (0.0887) loss_seg: 0.0843 (0.0883) loss_lansim: 0.0410 (0.0396) loss_contra: 0.0008 (0.0072) time: 3.0330 data: 0.0056 max mem: 31630 Epoch: [16] [3150/5278] eta: 1:42:42 lr: 3.086457377258601e-05 loss: 0.0799 (0.0887) loss_seg: 0.0795 (0.0882) loss_lansim: 0.0410 (0.0396) loss_contra: 0.0009 (0.0072) time: 3.0317 data: 0.0057 max mem: 31630 Epoch: [16] [3160/5278] eta: 1:42:15 lr: 3.0862324905685517e-05 loss: 0.0776 (0.0886) loss_seg: 0.0770 (0.0882) loss_lansim: 0.0410 (0.0396) loss_contra: 0.0010 (0.0072) time: 3.0364 data: 0.0056 max mem: 31630 Epoch: [16] [3170/5278] eta: 1:41:46 lr: 3.086007602057712e-05 loss: 0.0753 (0.0886) loss_seg: 0.0750 (0.0881) loss_lansim: 0.0411 (0.0396) loss_contra: 0.0008 (0.0072) time: 3.0302 data: 0.0056 max mem: 31630 Epoch: [16] [3180/5278] eta: 1:41:18 lr: 3.085782711725921e-05 loss: 0.0753 (0.0886) loss_seg: 0.0748 (0.0881) loss_lansim: 0.0410 (0.0396) loss_contra: 0.0007 (0.0072) time: 3.0285 data: 0.0056 max mem: 31630 Epoch: [16] [3190/5278] eta: 1:40:49 lr: 3.085557819573015e-05 loss: 0.0753 (0.0886) loss_seg: 0.0750 (0.0881) loss_lansim: 0.0410 (0.0396) loss_contra: 0.0007 (0.0072) time: 3.0206 data: 0.0056 max mem: 31630 Epoch: [16] [3200/5278] eta: 1:40:21 lr: 3.085332925598833e-05 loss: 0.0727 (0.0885) loss_seg: 0.0723 (0.0880) loss_lansim: 0.0410 (0.0396) loss_contra: 0.0008 (0.0072) time: 3.0151 data: 0.0056 max mem: 31630 Epoch: [16] [3210/5278] eta: 1:39:53 lr: 3.085108029803211e-05 loss: 0.0709 (0.0884) loss_seg: 0.0705 (0.0880) loss_lansim: 0.0406 (0.0396) loss_contra: 0.0008 (0.0072) time: 3.0098 data: 0.0056 max mem: 31630 Epoch: [16] [3220/5278] eta: 1:39:25 lr: 3.084883132185988e-05 loss: 0.0709 (0.0885) loss_seg: 0.0705 (0.0880) loss_lansim: 0.0401 (0.0396) loss_contra: 0.0008 (0.0072) time: 3.0115 data: 0.0056 max mem: 31630 Epoch: [16] [3230/5278] eta: 1:38:56 lr: 3.084658232747003e-05 loss: 0.0701 (0.0884) loss_seg: 0.0696 (0.0880) loss_lansim: 0.0406 (0.0396) loss_contra: 0.0007 (0.0071) time: 3.0066 data: 0.0056 max mem: 31630 Epoch: [16] [3240/5278] eta: 1:38:28 lr: 3.08443333148609e-05 loss: 0.0701 (0.0885) loss_seg: 0.0696 (0.0880) loss_lansim: 0.0408 (0.0396) loss_contra: 0.0007 (0.0071) time: 3.0010 data: 0.0055 max mem: 31630 Epoch: [16] [3250/5278] eta: 1:38:00 lr: 3.0842084284030907e-05 loss: 0.0727 (0.0885) loss_seg: 0.0723 (0.0880) loss_lansim: 0.0415 (0.0396) loss_contra: 0.0006 (0.0071) time: 3.0100 data: 0.0055 max mem: 31630 Epoch: [16] [3260/5278] eta: 1:37:31 lr: 3.083983523497839e-05 loss: 0.0764 (0.0885) loss_seg: 0.0760 (0.0880) loss_lansim: 0.0420 (0.0396) loss_contra: 0.0006 (0.0071) time: 2.9949 data: 0.0055 max mem: 31630 Epoch: [16] [3270/5278] eta: 1:37:03 lr: 3.0837586167701755e-05 loss: 0.0757 (0.0884) loss_seg: 0.0752 (0.0880) loss_lansim: 0.0420 (0.0397) loss_contra: 0.0005 (0.0071) time: 3.0141 data: 0.0055 max mem: 31630 Epoch: [16] [3280/5278] eta: 1:36:35 lr: 3.0835337082199364e-05 loss: 0.0767 (0.0884) loss_seg: 0.0762 (0.0880) loss_lansim: 0.0420 (0.0397) loss_contra: 0.0006 (0.0071) time: 3.0076 data: 0.0055 max mem: 31630 Epoch: [16] [3290/5278] eta: 1:36:07 lr: 3.083308797846959e-05 loss: 0.0766 (0.0884) loss_seg: 0.0762 (0.0880) loss_lansim: 0.0425 (0.0397) loss_contra: 0.0005 (0.0070) time: 3.0146 data: 0.0055 max mem: 31630 Epoch: [16] [3300/5278] eta: 1:35:38 lr: 3.0830838856510806e-05 loss: 0.0819 (0.0884) loss_seg: 0.0814 (0.0880) loss_lansim: 0.0425 (0.0397) loss_contra: 0.0004 (0.0070) time: 3.0014 data: 0.0055 max mem: 31630 Epoch: [16] [3310/5278] eta: 1:35:09 lr: 3.0828589716321406e-05 loss: 0.0788 (0.0884) loss_seg: 0.0784 (0.0879) loss_lansim: 0.0436 (0.0397) loss_contra: 0.0004 (0.0070) time: 3.0089 data: 0.0055 max mem: 31630 Epoch: [16] [3320/5278] eta: 1:34:41 lr: 3.082634055789973e-05 loss: 0.0775 (0.0884) loss_seg: 0.0771 (0.0879) loss_lansim: 0.0440 (0.0398) loss_contra: 0.0004 (0.0070) time: 3.0043 data: 0.0055 max mem: 31630 Epoch: [16] [3330/5278] eta: 1:34:12 lr: 3.0824091381244194e-05 loss: 0.0786 (0.0884) loss_seg: 0.0782 (0.0879) loss_lansim: 0.0449 (0.0398) loss_contra: 0.0004 (0.0070) time: 3.0004 data: 0.0056 max mem: 31630 Epoch: [16] [3340/5278] eta: 1:33:44 lr: 3.0821842186353135e-05 loss: 0.0788 (0.0884) loss_seg: 0.0782 (0.0879) loss_lansim: 0.0461 (0.0398) loss_contra: 0.0004 (0.0070) time: 3.0050 data: 0.0056 max mem: 31630 Epoch: [16] [3350/5278] eta: 1:33:15 lr: 3.081959297322494e-05 loss: 0.0786 (0.0884) loss_seg: 0.0782 (0.0880) loss_lansim: 0.0471 (0.0399) loss_contra: 0.0004 (0.0069) time: 2.9894 data: 0.0056 max mem: 31630 Epoch: [16] [3360/5278] eta: 1:32:46 lr: 3.0817343741858e-05 loss: 0.0769 (0.0884) loss_seg: 0.0765 (0.0879) loss_lansim: 0.0484 (0.0399) loss_contra: 0.0004 (0.0069) time: 2.9907 data: 0.0056 max mem: 31630 Epoch: [16] [3370/5278] eta: 1:32:17 lr: 3.081509449225066e-05 loss: 0.0786 (0.0884) loss_seg: 0.0781 (0.0879) loss_lansim: 0.0501 (0.0400) loss_contra: 0.0004 (0.0069) time: 2.9741 data: 0.0056 max mem: 31630 Epoch: [16] [3380/5278] eta: 1:31:48 lr: 3.08128452244013e-05 loss: 0.0787 (0.0884) loss_seg: 0.0782 (0.0880) loss_lansim: 0.0509 (0.0400) loss_contra: 0.0005 (0.0069) time: 2.9658 data: 0.0056 max mem: 31630 Epoch: [16] [3390/5278] eta: 1:31:20 lr: 3.081059593830831e-05 loss: 0.0790 (0.0885) loss_seg: 0.0782 (0.0880) loss_lansim: 0.0517 (0.0401) loss_contra: 0.0005 (0.0069) time: 2.9623 data: 0.0056 max mem: 31630 Epoch: [16] [3400/5278] eta: 1:30:51 lr: 3.080834663397004e-05 loss: 0.0761 (0.0885) loss_seg: 0.0757 (0.0880) loss_lansim: 0.0523 (0.0401) loss_contra: 0.0005 (0.0069) time: 2.9669 data: 0.0057 max mem: 31630 Epoch: [16] [3410/5278] eta: 1:30:22 lr: 3.080609731138488e-05 loss: 0.0765 (0.0884) loss_seg: 0.0760 (0.0880) loss_lansim: 0.0517 (0.0401) loss_contra: 0.0005 (0.0069) time: 2.9556 data: 0.0057 max mem: 31630 Epoch: [16] [3420/5278] eta: 1:29:54 lr: 3.080384797055119e-05 loss: 0.0765 (0.0884) loss_seg: 0.0760 (0.0879) loss_lansim: 0.0517 (0.0402) loss_contra: 0.0004 (0.0068) time: 2.9530 data: 0.0057 max mem: 31630 Epoch: [16] [3430/5278] eta: 1:29:25 lr: 3.080159861146733e-05 loss: 0.0761 (0.0884) loss_seg: 0.0757 (0.0879) loss_lansim: 0.0519 (0.0402) loss_contra: 0.0004 (0.0068) time: 2.9586 data: 0.0057 max mem: 31630 Epoch: [16] [3440/5278] eta: 1:28:56 lr: 3.0799349234131707e-05 loss: 0.0765 (0.0885) loss_seg: 0.0760 (0.0880) loss_lansim: 0.0523 (0.0402) loss_contra: 0.0004 (0.0068) time: 2.9426 data: 0.0057 max mem: 31630 Epoch: [16] [3450/5278] eta: 1:28:27 lr: 3.0797099838542656e-05 loss: 0.0757 (0.0885) loss_seg: 0.0751 (0.0881) loss_lansim: 0.0519 (0.0403) loss_contra: 0.0005 (0.0068) time: 2.9482 data: 0.0057 max mem: 31630 Epoch: [16] [3460/5278] eta: 1:27:58 lr: 3.079485042469857e-05 loss: 0.0757 (0.0885) loss_seg: 0.0751 (0.0880) loss_lansim: 0.0527 (0.0403) loss_contra: 0.0005 (0.0068) time: 2.9490 data: 0.0057 max mem: 31630 Epoch: [16] [3470/5278] eta: 1:27:30 lr: 3.07926009925978e-05 loss: 0.0765 (0.0885) loss_seg: 0.0760 (0.0880) loss_lansim: 0.0523 (0.0403) loss_contra: 0.0005 (0.0068) time: 2.9497 data: 0.0057 max mem: 31630 Epoch: [16] [3480/5278] eta: 1:27:01 lr: 3.0790351542238734e-05 loss: 0.0746 (0.0885) loss_seg: 0.0740 (0.0880) loss_lansim: 0.0527 (0.0404) loss_contra: 0.0005 (0.0068) time: 2.9538 data: 0.0057 max mem: 31630 Epoch: [16] [3490/5278] eta: 1:26:32 lr: 3.0788102073619736e-05 loss: 0.0734 (0.0884) loss_seg: 0.0729 (0.0880) loss_lansim: 0.0519 (0.0404) loss_contra: 0.0006 (0.0068) time: 2.9485 data: 0.0057 max mem: 31630 Epoch: [16] [3500/5278] eta: 1:26:03 lr: 3.078585258673917e-05 loss: 0.0761 (0.0884) loss_seg: 0.0754 (0.0879) loss_lansim: 0.0527 (0.0404) loss_contra: 0.0006 (0.0068) time: 2.9499 data: 0.0057 max mem: 31630 Epoch: [16] [3510/5278] eta: 1:25:34 lr: 3.0783603081595405e-05 loss: 0.0765 (0.0884) loss_seg: 0.0759 (0.0879) loss_lansim: 0.0523 (0.0405) loss_contra: 0.0005 (0.0068) time: 2.9500 data: 0.0057 max mem: 31630 Epoch: [16] [3520/5278] eta: 1:25:05 lr: 3.0781353558186826e-05 loss: 0.0765 (0.0883) loss_seg: 0.0759 (0.0878) loss_lansim: 0.0521 (0.0405) loss_contra: 0.0005 (0.0068) time: 2.9422 data: 0.0057 max mem: 31630 Epoch: [16] [3530/5278] eta: 1:24:37 lr: 3.077910401651177e-05 loss: 0.0765 (0.0883) loss_seg: 0.0759 (0.0878) loss_lansim: 0.0521 (0.0405) loss_contra: 0.0005 (0.0068) time: 2.9411 data: 0.0056 max mem: 31630 Epoch: [16] [3540/5278] eta: 1:24:08 lr: 3.077685445656864e-05 loss: 0.0756 (0.0883) loss_seg: 0.0751 (0.0878) loss_lansim: 0.0517 (0.0405) loss_contra: 0.0006 (0.0068) time: 2.9482 data: 0.0057 max mem: 31630 Epoch: [16] [3550/5278] eta: 1:23:39 lr: 3.0774604878355785e-05 loss: 0.0756 (0.0883) loss_seg: 0.0751 (0.0878) loss_lansim: 0.0519 (0.0406) loss_contra: 0.0006 (0.0068) time: 2.9406 data: 0.0057 max mem: 31630 Epoch: [16] [3560/5278] eta: 1:23:10 lr: 3.077235528187157e-05 loss: 0.0756 (0.0883) loss_seg: 0.0751 (0.0878) loss_lansim: 0.0515 (0.0406) loss_contra: 0.0005 (0.0068) time: 2.9456 data: 0.0058 max mem: 31630 Epoch: [16] [3570/5278] eta: 1:22:42 lr: 3.077010566711438e-05 loss: 0.0771 (0.0884) loss_seg: 0.0766 (0.0879) loss_lansim: 0.0515 (0.0407) loss_contra: 0.0006 (0.0068) time: 2.9546 data: 0.0058 max mem: 31630 Epoch: [16] [3580/5278] eta: 1:22:13 lr: 3.0767856034082566e-05 loss: 0.0777 (0.0885) loss_seg: 0.0771 (0.0880) loss_lansim: 0.0516 (0.0407) loss_contra: 0.0006 (0.0068) time: 2.9502 data: 0.0058 max mem: 31630 Epoch: [16] [3590/5278] eta: 1:21:44 lr: 3.07656063827745e-05 loss: 0.0796 (0.0884) loss_seg: 0.0789 (0.0880) loss_lansim: 0.0527 (0.0407) loss_contra: 0.0005 (0.0067) time: 2.9599 data: 0.0058 max mem: 31630 Epoch: [16] [3600/5278] eta: 1:21:15 lr: 3.0763356713188545e-05 loss: 0.0807 (0.0884) loss_seg: 0.0802 (0.0879) loss_lansim: 0.0524 (0.0408) loss_contra: 0.0006 (0.0068) time: 2.9588 data: 0.0058 max mem: 31630 Epoch: [16] [3610/5278] eta: 1:20:47 lr: 3.0761107025323065e-05 loss: 0.0807 (0.0884) loss_seg: 0.0801 (0.0879) loss_lansim: 0.0533 (0.0408) loss_contra: 0.0009 (0.0068) time: 2.9639 data: 0.0059 max mem: 31630 Epoch: [16] [3620/5278] eta: 1:20:18 lr: 3.075885731917645e-05 loss: 0.0808 (0.0884) loss_seg: 0.0802 (0.0879) loss_lansim: 0.0540 (0.0409) loss_contra: 0.0008 (0.0068) time: 2.9751 data: 0.0059 max mem: 31630 Epoch: [16] [3630/5278] eta: 1:19:49 lr: 3.075660759474703e-05 loss: 0.0807 (0.0884) loss_seg: 0.0801 (0.0879) loss_lansim: 0.0536 (0.0409) loss_contra: 0.0008 (0.0068) time: 2.9671 data: 0.0059 max mem: 31630 Epoch: [16] [3640/5278] eta: 1:19:20 lr: 3.075435785203319e-05 loss: 0.0797 (0.0884) loss_seg: 0.0792 (0.0879) loss_lansim: 0.0548 (0.0409) loss_contra: 0.0009 (0.0067) time: 2.9660 data: 0.0059 max mem: 31630 Epoch: [16] [3650/5278] eta: 1:18:51 lr: 3.07521080910333e-05 loss: 0.0808 (0.0884) loss_seg: 0.0802 (0.0879) loss_lansim: 0.0548 (0.0410) loss_contra: 0.0009 (0.0067) time: 2.9782 data: 0.0058 max mem: 31630 Epoch: [16] [3660/5278] eta: 1:18:22 lr: 3.074985831174572e-05 loss: 0.0807 (0.0884) loss_seg: 0.0802 (0.0879) loss_lansim: 0.0555 (0.0410) loss_contra: 0.0011 (0.0067) time: 2.9649 data: 0.0058 max mem: 31630 Epoch: [16] [3670/5278] eta: 1:17:53 lr: 3.0747608514168805e-05 loss: 0.0793 (0.0884) loss_seg: 0.0788 (0.0879) loss_lansim: 0.0555 (0.0411) loss_contra: 0.0009 (0.0067) time: 2.9585 data: 0.0058 max mem: 31630 Epoch: [16] [3680/5278] eta: 1:17:25 lr: 3.074535869830094e-05 loss: 0.0795 (0.0884) loss_seg: 0.0790 (0.0879) loss_lansim: 0.0555 (0.0411) loss_contra: 0.0007 (0.0067) time: 2.9680 data: 0.0058 max mem: 31630 Epoch: [16] [3690/5278] eta: 1:16:56 lr: 3.074310886414046e-05 loss: 0.0786 (0.0883) loss_seg: 0.0781 (0.0879) loss_lansim: 0.0555 (0.0411) loss_contra: 0.0007 (0.0067) time: 2.9546 data: 0.0057 max mem: 31630 Epoch: [16] [3700/5278] eta: 1:16:27 lr: 3.074085901168575e-05 loss: 0.0766 (0.0883) loss_seg: 0.0759 (0.0878) loss_lansim: 0.0555 (0.0412) loss_contra: 0.0006 (0.0067) time: 2.9515 data: 0.0057 max mem: 31630 Epoch: [16] [3710/5278] eta: 1:15:58 lr: 3.073860914093518e-05 loss: 0.0766 (0.0884) loss_seg: 0.0759 (0.0879) loss_lansim: 0.0555 (0.0412) loss_contra: 0.0007 (0.0067) time: 2.9531 data: 0.0057 max mem: 31630 Epoch: [16] [3720/5278] eta: 1:15:29 lr: 3.073635925188709e-05 loss: 0.0765 (0.0883) loss_seg: 0.0759 (0.0879) loss_lansim: 0.0558 (0.0413) loss_contra: 0.0007 (0.0067) time: 2.9493 data: 0.0057 max mem: 31630 Epoch: [16] [3730/5278] eta: 1:15:00 lr: 3.073410934453986e-05 loss: 0.0765 (0.0883) loss_seg: 0.0759 (0.0878) loss_lansim: 0.0562 (0.0413) loss_contra: 0.0007 (0.0067) time: 2.9543 data: 0.0057 max mem: 31630 Epoch: [16] [3740/5278] eta: 1:14:31 lr: 3.0731859418891834e-05 loss: 0.0750 (0.0883) loss_seg: 0.0745 (0.0878) loss_lansim: 0.0566 (0.0414) loss_contra: 0.0007 (0.0066) time: 2.9512 data: 0.0057 max mem: 31630 Epoch: [16] [3750/5278] eta: 1:14:02 lr: 3.07296094749414e-05 loss: 0.0750 (0.0883) loss_seg: 0.0743 (0.0878) loss_lansim: 0.0567 (0.0414) loss_contra: 0.0006 (0.0066) time: 2.9419 data: 0.0057 max mem: 31630 Epoch: [16] [3760/5278] eta: 1:13:34 lr: 3.072735951268691e-05 loss: 0.0750 (0.0883) loss_seg: 0.0745 (0.0878) loss_lansim: 0.0573 (0.0415) loss_contra: 0.0005 (0.0066) time: 2.9530 data: 0.0056 max mem: 31630 Epoch: [16] [3770/5278] eta: 1:13:05 lr: 3.072510953212672e-05 loss: 0.0750 (0.0883) loss_seg: 0.0745 (0.0878) loss_lansim: 0.0573 (0.0415) loss_contra: 0.0005 (0.0066) time: 2.9542 data: 0.0056 max mem: 31630 Epoch: [16] [3780/5278] eta: 1:12:36 lr: 3.07228595332592e-05 loss: 0.0749 (0.0883) loss_seg: 0.0742 (0.0878) loss_lansim: 0.0574 (0.0416) loss_contra: 0.0006 (0.0066) time: 2.9517 data: 0.0056 max mem: 31630 Epoch: [16] [3790/5278] eta: 1:12:07 lr: 3.07206095160827e-05 loss: 0.0750 (0.0883) loss_seg: 0.0745 (0.0878) loss_lansim: 0.0575 (0.0416) loss_contra: 0.0007 (0.0066) time: 2.9467 data: 0.0056 max mem: 31630 Epoch: [16] [3800/5278] eta: 1:11:38 lr: 3.0718359480595586e-05 loss: 0.0776 (0.0883) loss_seg: 0.0770 (0.0879) loss_lansim: 0.0578 (0.0416) loss_contra: 0.0008 (0.0066) time: 2.9523 data: 0.0056 max mem: 31630 Epoch: [16] [3810/5278] eta: 1:11:09 lr: 3.071610942679623e-05 loss: 0.0811 (0.0883) loss_seg: 0.0805 (0.0878) loss_lansim: 0.0566 (0.0417) loss_contra: 0.0006 (0.0066) time: 2.9516 data: 0.0056 max mem: 31630 Epoch: [16] [3820/5278] eta: 1:10:40 lr: 3.071385935468297e-05 loss: 0.0811 (0.0883) loss_seg: 0.0805 (0.0878) loss_lansim: 0.0559 (0.0417) loss_contra: 0.0007 (0.0066) time: 2.9479 data: 0.0056 max mem: 31630 Epoch: [16] [3830/5278] eta: 1:10:11 lr: 3.071160926425419e-05 loss: 0.0853 (0.0883) loss_seg: 0.0846 (0.0878) loss_lansim: 0.0550 (0.0417) loss_contra: 0.0006 (0.0066) time: 2.9500 data: 0.0056 max mem: 31630 Epoch: [16] [3840/5278] eta: 1:09:42 lr: 3.070935915550824e-05 loss: 0.0862 (0.0883) loss_seg: 0.0855 (0.0878) loss_lansim: 0.0543 (0.0417) loss_contra: 0.0006 (0.0065) time: 2.9604 data: 0.0057 max mem: 31630 Epoch: [16] [3850/5278] eta: 1:09:14 lr: 3.0707109028443476e-05 loss: 0.0866 (0.0883) loss_seg: 0.0861 (0.0878) loss_lansim: 0.0535 (0.0418) loss_contra: 0.0006 (0.0065) time: 2.9659 data: 0.0056 max mem: 31630 Epoch: [16] [3860/5278] eta: 1:08:45 lr: 3.0704858883058265e-05 loss: 0.0877 (0.0883) loss_seg: 0.0871 (0.0878) loss_lansim: 0.0519 (0.0418) loss_contra: 0.0006 (0.0065) time: 2.9679 data: 0.0056 max mem: 31630 Epoch: [16] [3870/5278] eta: 1:08:16 lr: 3.070260871935095e-05 loss: 0.0862 (0.0882) loss_seg: 0.0855 (0.0878) loss_lansim: 0.0506 (0.0418) loss_contra: 0.0006 (0.0065) time: 2.9715 data: 0.0057 max mem: 31630 Epoch: [16] [3880/5278] eta: 1:07:47 lr: 3.0700358537319904e-05 loss: 0.0775 (0.0883) loss_seg: 0.0771 (0.0878) loss_lansim: 0.0498 (0.0418) loss_contra: 0.0007 (0.0065) time: 2.9724 data: 0.0058 max mem: 31630 Epoch: [16] [3890/5278] eta: 1:07:19 lr: 3.069810833696348e-05 loss: 0.0775 (0.0883) loss_seg: 0.0770 (0.0878) loss_lansim: 0.0493 (0.0418) loss_contra: 0.0006 (0.0065) time: 2.9913 data: 0.0058 max mem: 31630 Epoch: [16] [3900/5278] eta: 1:06:50 lr: 3.0695858118280044e-05 loss: 0.0766 (0.0883) loss_seg: 0.0760 (0.0878) loss_lansim: 0.0481 (0.0418) loss_contra: 0.0005 (0.0065) time: 2.9834 data: 0.0059 max mem: 31630 Epoch: [16] [3910/5278] eta: 1:06:21 lr: 3.069360788126795e-05 loss: 0.0748 (0.0883) loss_seg: 0.0744 (0.0878) loss_lansim: 0.0471 (0.0418) loss_contra: 0.0004 (0.0065) time: 2.9855 data: 0.0059 max mem: 31630 Epoch: [16] [3920/5278] eta: 1:05:52 lr: 3.069135762592555e-05 loss: 0.0760 (0.0883) loss_seg: 0.0755 (0.0878) loss_lansim: 0.0469 (0.0418) loss_contra: 0.0005 (0.0065) time: 2.9870 data: 0.0059 max mem: 31630 Epoch: [16] [3930/5278] eta: 1:05:23 lr: 3.068910735225121e-05 loss: 0.0766 (0.0883) loss_seg: 0.0760 (0.0878) loss_lansim: 0.0465 (0.0418) loss_contra: 0.0004 (0.0065) time: 2.9813 data: 0.0060 max mem: 31630 Epoch: [16] [3940/5278] eta: 1:04:54 lr: 3.068685706024328e-05 loss: 0.0775 (0.0883) loss_seg: 0.0771 (0.0878) loss_lansim: 0.0466 (0.0419) loss_contra: 0.0004 (0.0065) time: 2.9791 data: 0.0061 max mem: 31630 Epoch: [16] [3950/5278] eta: 1:04:25 lr: 3.068460674990012e-05 loss: 0.0775 (0.0883) loss_seg: 0.0771 (0.0878) loss_lansim: 0.0458 (0.0419) loss_contra: 0.0005 (0.0065) time: 2.9772 data: 0.0061 max mem: 31630 Epoch: [16] [3960/5278] eta: 1:03:56 lr: 3.068235642122009e-05 loss: 0.0785 (0.0883) loss_seg: 0.0780 (0.0879) loss_lansim: 0.0455 (0.0419) loss_contra: 0.0006 (0.0065) time: 2.9674 data: 0.0061 max mem: 31630 Epoch: [16] [3970/5278] eta: 1:03:27 lr: 3.068010607420154e-05 loss: 0.0794 (0.0884) loss_seg: 0.0790 (0.0879) loss_lansim: 0.0452 (0.0419) loss_contra: 0.0006 (0.0064) time: 2.9622 data: 0.0060 max mem: 31630 Epoch: [16] [3980/5278] eta: 1:02:58 lr: 3.0677855708842825e-05 loss: 0.0819 (0.0884) loss_seg: 0.0813 (0.0880) loss_lansim: 0.0452 (0.0419) loss_contra: 0.0004 (0.0064) time: 2.9655 data: 0.0060 max mem: 31630 Epoch: [16] [3990/5278] eta: 1:02:29 lr: 3.0675605325142306e-05 loss: 0.0828 (0.0884) loss_seg: 0.0824 (0.0880) loss_lansim: 0.0452 (0.0419) loss_contra: 0.0007 (0.0064) time: 2.9504 data: 0.0059 max mem: 31630 Epoch: [16] [4000/5278] eta: 1:02:00 lr: 3.067335492309833e-05 loss: 0.0842 (0.0884) loss_seg: 0.0838 (0.0879) loss_lansim: 0.0452 (0.0419) loss_contra: 0.0008 (0.0064) time: 2.9599 data: 0.0059 max mem: 31630 Epoch: [16] [4010/5278] eta: 1:01:31 lr: 3.0671104502709266e-05 loss: 0.0877 (0.0884) loss_seg: 0.0873 (0.0880) loss_lansim: 0.0452 (0.0419) loss_contra: 0.0009 (0.0064) time: 2.9572 data: 0.0059 max mem: 31630 Epoch: [16] [4020/5278] eta: 1:01:02 lr: 3.0668854063973466e-05 loss: 0.0860 (0.0884) loss_seg: 0.0856 (0.0879) loss_lansim: 0.0451 (0.0419) loss_contra: 0.0009 (0.0064) time: 2.9532 data: 0.0058 max mem: 31630 Epoch: [16] [4030/5278] eta: 1:00:33 lr: 3.0666603606889264e-05 loss: 0.0808 (0.0884) loss_seg: 0.0802 (0.0879) loss_lansim: 0.0449 (0.0419) loss_contra: 0.0009 (0.0064) time: 2.9591 data: 0.0057 max mem: 31630 Epoch: [16] [4040/5278] eta: 1:00:04 lr: 3.066435313145504e-05 loss: 0.0808 (0.0884) loss_seg: 0.0802 (0.0879) loss_lansim: 0.0448 (0.0419) loss_contra: 0.0008 (0.0064) time: 2.9554 data: 0.0057 max mem: 31630 Epoch: [16] [4050/5278] eta: 0:59:35 lr: 3.0662102637669135e-05 loss: 0.0880 (0.0885) loss_seg: 0.0876 (0.0880) loss_lansim: 0.0444 (0.0420) loss_contra: 0.0006 (0.0064) time: 2.9519 data: 0.0057 max mem: 31630 Epoch: [16] [4060/5278] eta: 0:59:06 lr: 3.0659852125529906e-05 loss: 0.0880 (0.0885) loss_seg: 0.0876 (0.0880) loss_lansim: 0.0448 (0.0420) loss_contra: 0.0006 (0.0063) time: 2.9489 data: 0.0057 max mem: 31630 Epoch: [16] [4070/5278] eta: 0:58:37 lr: 3.065760159503572e-05 loss: 0.0880 (0.0885) loss_seg: 0.0876 (0.0880) loss_lansim: 0.0442 (0.0420) loss_contra: 0.0005 (0.0063) time: 2.9461 data: 0.0057 max mem: 31630 Epoch: [16] [4080/5278] eta: 0:58:08 lr: 3.06553510461849e-05 loss: 0.0861 (0.0885) loss_seg: 0.0856 (0.0880) loss_lansim: 0.0444 (0.0420) loss_contra: 0.0005 (0.0063) time: 2.9392 data: 0.0057 max mem: 31630 Epoch: [16] [4090/5278] eta: 0:57:39 lr: 3.065310047897582e-05 loss: 0.0861 (0.0885) loss_seg: 0.0856 (0.0880) loss_lansim: 0.0442 (0.0420) loss_contra: 0.0005 (0.0063) time: 2.9442 data: 0.0057 max mem: 31630 Epoch: [16] [4100/5278] eta: 0:57:10 lr: 3.065084989340683e-05 loss: 0.0822 (0.0885) loss_seg: 0.0817 (0.0880) loss_lansim: 0.0437 (0.0420) loss_contra: 0.0005 (0.0063) time: 2.9290 data: 0.0058 max mem: 31630 Epoch: [16] [4110/5278] eta: 0:56:41 lr: 3.064859928947627e-05 loss: 0.0822 (0.0885) loss_seg: 0.0817 (0.0880) loss_lansim: 0.0437 (0.0420) loss_contra: 0.0004 (0.0063) time: 2.9298 data: 0.0058 max mem: 31630 Epoch: [16] [4120/5278] eta: 0:56:12 lr: 3.064634866718252e-05 loss: 0.0822 (0.0885) loss_seg: 0.0816 (0.0880) loss_lansim: 0.0442 (0.0420) loss_contra: 0.0004 (0.0063) time: 2.9385 data: 0.0058 max mem: 31630 Epoch: [16] [4130/5278] eta: 0:55:43 lr: 3.0644098026523896e-05 loss: 0.0822 (0.0885) loss_seg: 0.0816 (0.0880) loss_lansim: 0.0443 (0.0420) loss_contra: 0.0004 (0.0063) time: 2.9403 data: 0.0058 max mem: 31630 Epoch: [16] [4140/5278] eta: 0:55:14 lr: 3.064184736749878e-05 loss: 0.0822 (0.0885) loss_seg: 0.0816 (0.0880) loss_lansim: 0.0446 (0.0420) loss_contra: 0.0006 (0.0063) time: 2.9442 data: 0.0058 max mem: 31630 Epoch: [16] [4150/5278] eta: 0:54:45 lr: 3.063959669010551e-05 loss: 0.0801 (0.0885) loss_seg: 0.0795 (0.0880) loss_lansim: 0.0446 (0.0420) loss_contra: 0.0006 (0.0063) time: 2.9482 data: 0.0058 max mem: 31630 Epoch: [16] [4160/5278] eta: 0:54:16 lr: 3.063734599434243e-05 loss: 0.0782 (0.0884) loss_seg: 0.0778 (0.0880) loss_lansim: 0.0444 (0.0420) loss_contra: 0.0006 (0.0063) time: 2.9595 data: 0.0057 max mem: 31630 Epoch: [16] [4170/5278] eta: 0:53:47 lr: 3.06350952802079e-05 loss: 0.0782 (0.0884) loss_seg: 0.0778 (0.0880) loss_lansim: 0.0449 (0.0421) loss_contra: 0.0006 (0.0063) time: 2.9654 data: 0.0057 max mem: 31630 Epoch: [16] [4180/5278] eta: 0:53:18 lr: 3.063284454770027e-05 loss: 0.0781 (0.0884) loss_seg: 0.0777 (0.0879) loss_lansim: 0.0446 (0.0421) loss_contra: 0.0008 (0.0063) time: 2.9703 data: 0.0057 max mem: 31630 Epoch: [16] [4190/5278] eta: 0:52:49 lr: 3.0630593796817885e-05 loss: 0.0778 (0.0884) loss_seg: 0.0773 (0.0879) loss_lansim: 0.0446 (0.0421) loss_contra: 0.0008 (0.0063) time: 2.9683 data: 0.0057 max mem: 31630 Epoch: [16] [4200/5278] eta: 0:52:20 lr: 3.06283430275591e-05 loss: 0.0775 (0.0883) loss_seg: 0.0769 (0.0878) loss_lansim: 0.0449 (0.0421) loss_contra: 0.0009 (0.0064) time: 2.9783 data: 0.0057 max mem: 31630 Epoch: [16] [4210/5278] eta: 0:51:51 lr: 3.0626092239922265e-05 loss: 0.0778 (0.0883) loss_seg: 0.0773 (0.0879) loss_lansim: 0.0444 (0.0421) loss_contra: 0.0011 (0.0064) time: 2.9786 data: 0.0058 max mem: 31630 Epoch: [16] [4220/5278] eta: 0:51:22 lr: 3.062384143390573e-05 loss: 0.0780 (0.0883) loss_seg: 0.0774 (0.0879) loss_lansim: 0.0443 (0.0421) loss_contra: 0.0013 (0.0064) time: 2.9718 data: 0.0057 max mem: 31630 Epoch: [16] [4230/5278] eta: 0:50:53 lr: 3.062159060950784e-05 loss: 0.0780 (0.0884) loss_seg: 0.0774 (0.0879) loss_lansim: 0.0439 (0.0421) loss_contra: 0.0013 (0.0064) time: 2.9544 data: 0.0057 max mem: 31630 Epoch: [16] [4240/5278] eta: 0:50:23 lr: 3.061933976672693e-05 loss: 0.0759 (0.0883) loss_seg: 0.0754 (0.0878) loss_lansim: 0.0434 (0.0421) loss_contra: 0.0015 (0.0064) time: 2.9330 data: 0.0057 max mem: 31630 Epoch: [16] [4250/5278] eta: 0:49:54 lr: 3.061708890556138e-05 loss: 0.0741 (0.0883) loss_seg: 0.0736 (0.0878) loss_lansim: 0.0434 (0.0421) loss_contra: 0.0013 (0.0064) time: 2.9158 data: 0.0057 max mem: 31630 Epoch: [16] [4260/5278] eta: 0:49:24 lr: 3.061483802600951e-05 loss: 0.0771 (0.0883) loss_seg: 0.0767 (0.0878) loss_lansim: 0.0431 (0.0421) loss_contra: 0.0013 (0.0064) time: 2.8889 data: 0.0057 max mem: 31630 Epoch: [16] [4270/5278] eta: 0:48:55 lr: 3.0612587128069684e-05 loss: 0.0771 (0.0883) loss_seg: 0.0767 (0.0878) loss_lansim: 0.0431 (0.0421) loss_contra: 0.0011 (0.0064) time: 2.8664 data: 0.0057 max mem: 31630 Epoch: [16] [4280/5278] eta: 0:48:25 lr: 3.0610336211740245e-05 loss: 0.0739 (0.0883) loss_seg: 0.0734 (0.0878) loss_lansim: 0.0422 (0.0421) loss_contra: 0.0012 (0.0064) time: 2.8416 data: 0.0057 max mem: 31630 Epoch: [16] [4290/5278] eta: 0:47:56 lr: 3.060808527701954e-05 loss: 0.0741 (0.0882) loss_seg: 0.0736 (0.0878) loss_lansim: 0.0431 (0.0421) loss_contra: 0.0012 (0.0063) time: 2.8211 data: 0.0058 max mem: 31630 Epoch: [16] [4300/5278] eta: 0:47:26 lr: 3.0605834323905904e-05 loss: 0.0746 (0.0882) loss_seg: 0.0742 (0.0877) loss_lansim: 0.0431 (0.0421) loss_contra: 0.0010 (0.0063) time: 2.8003 data: 0.0058 max mem: 31630 Epoch: [16] [4310/5278] eta: 0:46:57 lr: 3.060358335239771e-05 loss: 0.0708 (0.0882) loss_seg: 0.0703 (0.0877) loss_lansim: 0.0422 (0.0421) loss_contra: 0.0009 (0.0063) time: 2.7795 data: 0.0057 max mem: 31630 Epoch: [16] [4320/5278] eta: 0:46:27 lr: 3.060133236249328e-05 loss: 0.0737 (0.0882) loss_seg: 0.0733 (0.0877) loss_lansim: 0.0426 (0.0421) loss_contra: 0.0006 (0.0063) time: 2.7590 data: 0.0057 max mem: 31630 Epoch: [16] [4330/5278] eta: 0:45:58 lr: 3.059908135419097e-05 loss: 0.0737 (0.0882) loss_seg: 0.0733 (0.0877) loss_lansim: 0.0422 (0.0421) loss_contra: 0.0005 (0.0063) time: 2.7581 data: 0.0057 max mem: 31630 Epoch: [16] [4340/5278] eta: 0:45:28 lr: 3.059683032748913e-05 loss: 0.0746 (0.0881) loss_seg: 0.0742 (0.0877) loss_lansim: 0.0422 (0.0421) loss_contra: 0.0004 (0.0063) time: 2.7494 data: 0.0057 max mem: 31630 Epoch: [16] [4350/5278] eta: 0:44:59 lr: 3.0594579282386096e-05 loss: 0.0782 (0.0883) loss_seg: 0.0778 (0.0878) loss_lansim: 0.0421 (0.0421) loss_contra: 0.0004 (0.0063) time: 2.7485 data: 0.0057 max mem: 31630 Epoch: [16] [4360/5278] eta: 0:44:30 lr: 3.0592328218880224e-05 loss: 0.0765 (0.0882) loss_seg: 0.0761 (0.0878) loss_lansim: 0.0422 (0.0421) loss_contra: 0.0005 (0.0063) time: 2.7539 data: 0.0057 max mem: 31630 Epoch: [16] [4370/5278] eta: 0:44:00 lr: 3.059007713696984e-05 loss: 0.0765 (0.0882) loss_seg: 0.0761 (0.0878) loss_lansim: 0.0426 (0.0421) loss_contra: 0.0005 (0.0063) time: 2.7522 data: 0.0057 max mem: 31630 Epoch: [16] [4380/5278] eta: 0:43:31 lr: 3.058782603665331e-05 loss: 0.0780 (0.0882) loss_seg: 0.0776 (0.0878) loss_lansim: 0.0426 (0.0421) loss_contra: 0.0004 (0.0063) time: 2.7506 data: 0.0057 max mem: 31630 Epoch: [16] [4390/5278] eta: 0:43:01 lr: 3.058557491792897e-05 loss: 0.0782 (0.0882) loss_seg: 0.0777 (0.0878) loss_lansim: 0.0430 (0.0421) loss_contra: 0.0004 (0.0063) time: 2.7450 data: 0.0056 max mem: 31630 Epoch: [16] [4400/5278] eta: 0:42:32 lr: 3.0583323780795166e-05 loss: 0.0777 (0.0882) loss_seg: 0.0771 (0.0877) loss_lansim: 0.0437 (0.0422) loss_contra: 0.0003 (0.0062) time: 2.7408 data: 0.0056 max mem: 31630 Epoch: [16] [4410/5278] eta: 0:42:02 lr: 3.058107262525024e-05 loss: 0.0780 (0.0882) loss_seg: 0.0776 (0.0877) loss_lansim: 0.0446 (0.0422) loss_contra: 0.0003 (0.0062) time: 2.7340 data: 0.0055 max mem: 31630 Epoch: [16] [4420/5278] eta: 0:41:33 lr: 3.057882145129253e-05 loss: 0.0771 (0.0881) loss_seg: 0.0767 (0.0876) loss_lansim: 0.0449 (0.0422) loss_contra: 0.0005 (0.0063) time: 2.7267 data: 0.0055 max mem: 31630 Epoch: [16] [4430/5278] eta: 0:41:03 lr: 3.057657025892039e-05 loss: 0.0769 (0.0881) loss_seg: 0.0765 (0.0876) loss_lansim: 0.0460 (0.0422) loss_contra: 0.0007 (0.0063) time: 2.7182 data: 0.0055 max mem: 31630 Epoch: [16] [4440/5278] eta: 0:40:34 lr: 3.057431904813215e-05 loss: 0.0777 (0.0881) loss_seg: 0.0771 (0.0876) loss_lansim: 0.0465 (0.0422) loss_contra: 0.0008 (0.0063) time: 2.7164 data: 0.0055 max mem: 31630 Epoch: [16] [4450/5278] eta: 0:40:04 lr: 3.057206781892616e-05 loss: 0.0769 (0.0882) loss_seg: 0.0765 (0.0877) loss_lansim: 0.0476 (0.0422) loss_contra: 0.0010 (0.0063) time: 2.7113 data: 0.0054 max mem: 31630 Epoch: [16] [4460/5278] eta: 0:39:35 lr: 3.056981657130077e-05 loss: 0.0783 (0.0882) loss_seg: 0.0777 (0.0877) loss_lansim: 0.0478 (0.0423) loss_contra: 0.0012 (0.0064) time: 2.7024 data: 0.0054 max mem: 31630 Epoch: [16] [4470/5278] eta: 0:39:06 lr: 3.05675653052543e-05 loss: 0.0783 (0.0882) loss_seg: 0.0777 (0.0877) loss_lansim: 0.0491 (0.0423) loss_contra: 0.0016 (0.0064) time: 2.6981 data: 0.0054 max mem: 31630 Epoch: [16] [4480/5278] eta: 0:38:36 lr: 3.056531402078512e-05 loss: 0.0790 (0.0882) loss_seg: 0.0784 (0.0877) loss_lansim: 0.0505 (0.0423) loss_contra: 0.0018 (0.0064) time: 2.6961 data: 0.0053 max mem: 31630 Epoch: [16] [4490/5278] eta: 0:38:07 lr: 3.056306271789156e-05 loss: 0.0799 (0.0882) loss_seg: 0.0794 (0.0877) loss_lansim: 0.0514 (0.0424) loss_contra: 0.0023 (0.0064) time: 2.6962 data: 0.0054 max mem: 31630 Epoch: [16] [4500/5278] eta: 0:37:37 lr: 3.056081139657195e-05 loss: 0.0830 (0.0882) loss_seg: 0.0820 (0.0877) loss_lansim: 0.0525 (0.0424) loss_contra: 0.0024 (0.0065) time: 2.6964 data: 0.0054 max mem: 31630 Epoch: [16] [4510/5278] eta: 0:37:08 lr: 3.055856005682464e-05 loss: 0.0830 (0.0882) loss_seg: 0.0820 (0.0877) loss_lansim: 0.0537 (0.0425) loss_contra: 0.0024 (0.0065) time: 2.6936 data: 0.0054 max mem: 31630 Epoch: [16] [4520/5278] eta: 0:36:39 lr: 3.055630869864798e-05 loss: 0.0847 (0.0882) loss_seg: 0.0842 (0.0877) loss_lansim: 0.0560 (0.0425) loss_contra: 0.0027 (0.0066) time: 2.6988 data: 0.0055 max mem: 31630 Epoch: [16] [4530/5278] eta: 0:36:09 lr: 3.055405732204029e-05 loss: 0.0859 (0.0882) loss_seg: 0.0853 (0.0877) loss_lansim: 0.0579 (0.0426) loss_contra: 0.0027 (0.0066) time: 2.6962 data: 0.0055 max mem: 31630 Epoch: [16] [4540/5278] eta: 0:35:40 lr: 3.055180592699993e-05 loss: 0.0859 (0.0882) loss_seg: 0.0853 (0.0877) loss_lansim: 0.0612 (0.0427) loss_contra: 0.0030 (0.0067) time: 2.6992 data: 0.0055 max mem: 31630 Epoch: [16] [4550/5278] eta: 0:35:11 lr: 3.054955451352523e-05 loss: 0.0847 (0.0882) loss_seg: 0.0842 (0.0877) loss_lansim: 0.0633 (0.0427) loss_contra: 0.0033 (0.0067) time: 2.6957 data: 0.0055 max mem: 31630 Epoch: [16] [4560/5278] eta: 0:34:41 lr: 3.054730308161452e-05 loss: 0.0822 (0.0883) loss_seg: 0.0812 (0.0878) loss_lansim: 0.0647 (0.0428) loss_contra: 0.0027 (0.0068) time: 2.6936 data: 0.0054 max mem: 31630 Epoch: [16] [4570/5278] eta: 0:34:12 lr: 3.0545051631266164e-05 loss: 0.0834 (0.0883) loss_seg: 0.0825 (0.0878) loss_lansim: 0.0688 (0.0429) loss_contra: 0.0022 (0.0068) time: 2.6961 data: 0.0054 max mem: 31630 Epoch: [16] [4580/5278] eta: 0:33:43 lr: 3.054280016247848e-05 loss: 0.0830 (0.0883) loss_seg: 0.0824 (0.0878) loss_lansim: 0.0696 (0.0429) loss_contra: 0.0021 (0.0068) time: 2.6934 data: 0.0054 max mem: 31630 Epoch: [16] [4590/5278] eta: 0:33:13 lr: 3.054054867524981e-05 loss: 0.0829 (0.0884) loss_seg: 0.0824 (0.0879) loss_lansim: 0.0719 (0.0430) loss_contra: 0.0021 (0.0068) time: 2.6982 data: 0.0053 max mem: 31630 Epoch: [16] [4600/5278] eta: 0:32:44 lr: 3.053829716957851e-05 loss: 0.0832 (0.0884) loss_seg: 0.0825 (0.0879) loss_lansim: 0.0733 (0.0431) loss_contra: 0.0022 (0.0068) time: 2.6960 data: 0.0053 max mem: 31630 Epoch: [16] [4610/5278] eta: 0:32:15 lr: 3.053604564546288e-05 loss: 0.0829 (0.0884) loss_seg: 0.0824 (0.0879) loss_lansim: 0.0730 (0.0431) loss_contra: 0.0022 (0.0068) time: 2.6979 data: 0.0053 max mem: 31630 Epoch: [16] [4620/5278] eta: 0:31:46 lr: 3.0533794102901295e-05 loss: 0.0829 (0.0884) loss_seg: 0.0824 (0.0879) loss_lansim: 0.0706 (0.0432) loss_contra: 0.0018 (0.0068) time: 2.6938 data: 0.0052 max mem: 31630 Epoch: [16] [4630/5278] eta: 0:31:16 lr: 3.0531542541892085e-05 loss: 0.0834 (0.0884) loss_seg: 0.0825 (0.0879) loss_lansim: 0.0693 (0.0432) loss_contra: 0.0018 (0.0068) time: 2.6931 data: 0.0052 max mem: 31630 Epoch: [16] [4640/5278] eta: 0:30:47 lr: 3.052929096243357e-05 loss: 0.0829 (0.0884) loss_seg: 0.0824 (0.0879) loss_lansim: 0.0683 (0.0433) loss_contra: 0.0017 (0.0068) time: 2.6952 data: 0.0052 max mem: 31630 Epoch: [16] [4650/5278] eta: 0:30:18 lr: 3.0527039364524106e-05 loss: 0.0866 (0.0884) loss_seg: 0.0856 (0.0879) loss_lansim: 0.0678 (0.0433) loss_contra: 0.0017 (0.0068) time: 2.6913 data: 0.0052 max mem: 31630 Epoch: [16] [4660/5278] eta: 0:29:49 lr: 3.052478774816202e-05 loss: 0.0888 (0.0884) loss_seg: 0.0881 (0.0879) loss_lansim: 0.0676 (0.0434) loss_contra: 0.0016 (0.0068) time: 2.6949 data: 0.0052 max mem: 31630 Epoch: [16] [4670/5278] eta: 0:29:19 lr: 3.052253611334565e-05 loss: 0.0829 (0.0884) loss_seg: 0.0824 (0.0879) loss_lansim: 0.0673 (0.0434) loss_contra: 0.0017 (0.0068) time: 2.6889 data: 0.0052 max mem: 31630 Epoch: [16] [4680/5278] eta: 0:28:50 lr: 3.0520284460073334e-05 loss: 0.0813 (0.0884) loss_seg: 0.0807 (0.0879) loss_lansim: 0.0666 (0.0435) loss_contra: 0.0017 (0.0068) time: 2.6921 data: 0.0052 max mem: 31630 Epoch: [16] [4690/5278] eta: 0:28:21 lr: 3.0518032788343406e-05 loss: 0.0810 (0.0884) loss_seg: 0.0804 (0.0879) loss_lansim: 0.0652 (0.0435) loss_contra: 0.0017 (0.0068) time: 2.6896 data: 0.0052 max mem: 31630 Epoch: [16] [4700/5278] eta: 0:27:52 lr: 3.05157810981542e-05 loss: 0.0774 (0.0884) loss_seg: 0.0768 (0.0879) loss_lansim: 0.0646 (0.0435) loss_contra: 0.0014 (0.0068) time: 2.6891 data: 0.0052 max mem: 31630 Epoch: [16] [4710/5278] eta: 0:27:23 lr: 3.0513529389504053e-05 loss: 0.0810 (0.0885) loss_seg: 0.0804 (0.0880) loss_lansim: 0.0652 (0.0436) loss_contra: 0.0017 (0.0068) time: 2.6920 data: 0.0052 max mem: 31630 Epoch: [16] [4720/5278] eta: 0:26:53 lr: 3.0511277662391302e-05 loss: 0.0819 (0.0885) loss_seg: 0.0812 (0.0880) loss_lansim: 0.0655 (0.0436) loss_contra: 0.0015 (0.0068) time: 2.6909 data: 0.0052 max mem: 31630 Epoch: [16] [4730/5278] eta: 0:26:24 lr: 3.0509025916814283e-05 loss: 0.0810 (0.0885) loss_seg: 0.0804 (0.0880) loss_lansim: 0.0649 (0.0437) loss_contra: 0.0013 (0.0068) time: 2.6923 data: 0.0052 max mem: 31630 Epoch: [16] [4740/5278] eta: 0:25:55 lr: 3.0506774152771316e-05 loss: 0.0817 (0.0885) loss_seg: 0.0810 (0.0880) loss_lansim: 0.0655 (0.0437) loss_contra: 0.0013 (0.0068) time: 2.6880 data: 0.0052 max mem: 31630 Epoch: [16] [4750/5278] eta: 0:25:26 lr: 3.0504522370260757e-05 loss: 0.0813 (0.0885) loss_seg: 0.0807 (0.0880) loss_lansim: 0.0649 (0.0438) loss_contra: 0.0013 (0.0069) time: 2.6914 data: 0.0052 max mem: 31630 Epoch: [16] [4760/5278] eta: 0:24:57 lr: 3.0502270569280922e-05 loss: 0.0797 (0.0885) loss_seg: 0.0792 (0.0880) loss_lansim: 0.0641 (0.0438) loss_contra: 0.0014 (0.0069) time: 2.6904 data: 0.0052 max mem: 31630 Epoch: [16] [4770/5278] eta: 0:24:28 lr: 3.0500018749830155e-05 loss: 0.0797 (0.0885) loss_seg: 0.0789 (0.0880) loss_lansim: 0.0624 (0.0438) loss_contra: 0.0015 (0.0069) time: 2.6908 data: 0.0052 max mem: 31630 Epoch: [16] [4780/5278] eta: 0:23:59 lr: 3.049776691190679e-05 loss: 0.0778 (0.0884) loss_seg: 0.0772 (0.0879) loss_lansim: 0.0624 (0.0439) loss_contra: 0.0018 (0.0069) time: 2.6930 data: 0.0052 max mem: 31630 Epoch: [16] [4790/5278] eta: 0:23:30 lr: 3.049551505550915e-05 loss: 0.0817 (0.0885) loss_seg: 0.0810 (0.0879) loss_lansim: 0.0609 (0.0439) loss_contra: 0.0019 (0.0069) time: 2.6902 data: 0.0052 max mem: 31630 Epoch: [16] [4800/5278] eta: 0:23:00 lr: 3.0493263180635573e-05 loss: 0.0850 (0.0885) loss_seg: 0.0843 (0.0880) loss_lansim: 0.0608 (0.0439) loss_contra: 0.0021 (0.0069) time: 2.6919 data: 0.0052 max mem: 31630 Epoch: [16] [4810/5278] eta: 0:22:31 lr: 3.0491011287284394e-05 loss: 0.0789 (0.0884) loss_seg: 0.0782 (0.0879) loss_lansim: 0.0600 (0.0440) loss_contra: 0.0021 (0.0069) time: 2.6876 data: 0.0052 max mem: 31630 Epoch: [16] [4820/5278] eta: 0:22:02 lr: 3.0488759375453933e-05 loss: 0.0783 (0.0885) loss_seg: 0.0776 (0.0880) loss_lansim: 0.0583 (0.0440) loss_contra: 0.0022 (0.0069) time: 2.6909 data: 0.0052 max mem: 31630 Epoch: [16] [4830/5278] eta: 0:21:33 lr: 3.048650744514255e-05 loss: 0.0774 (0.0884) loss_seg: 0.0768 (0.0879) loss_lansim: 0.0577 (0.0440) loss_contra: 0.0025 (0.0070) time: 2.6923 data: 0.0052 max mem: 31630 Epoch: [16] [4840/5278] eta: 0:21:04 lr: 3.0484255496348546e-05 loss: 0.0784 (0.0885) loss_seg: 0.0776 (0.0879) loss_lansim: 0.0570 (0.0440) loss_contra: 0.0025 (0.0070) time: 2.6926 data: 0.0052 max mem: 31630 Epoch: [16] [4850/5278] eta: 0:20:35 lr: 3.0482003529070262e-05 loss: 0.0812 (0.0885) loss_seg: 0.0806 (0.0880) loss_lansim: 0.0569 (0.0441) loss_contra: 0.0026 (0.0071) time: 2.6946 data: 0.0052 max mem: 31630 Epoch: [16] [4860/5278] eta: 0:20:06 lr: 3.0479751543306047e-05 loss: 0.0796 (0.0885) loss_seg: 0.0790 (0.0880) loss_lansim: 0.0570 (0.0441) loss_contra: 0.0024 (0.0070) time: 2.6935 data: 0.0052 max mem: 31630 Epoch: [16] [4870/5278] eta: 0:19:37 lr: 3.0477499539054195e-05 loss: 0.0796 (0.0885) loss_seg: 0.0790 (0.0880) loss_lansim: 0.0559 (0.0441) loss_contra: 0.0022 (0.0070) time: 2.6969 data: 0.0052 max mem: 31630 Epoch: [16] [4880/5278] eta: 0:19:08 lr: 3.047524751631307e-05 loss: 0.0850 (0.0885) loss_seg: 0.0846 (0.0880) loss_lansim: 0.0551 (0.0441) loss_contra: 0.0021 (0.0070) time: 2.6928 data: 0.0052 max mem: 31630 Epoch: [16] [4890/5278] eta: 0:18:39 lr: 3.0472995475080984e-05 loss: 0.0784 (0.0885) loss_seg: 0.0776 (0.0880) loss_lansim: 0.0542 (0.0442) loss_contra: 0.0020 (0.0071) time: 2.6962 data: 0.0052 max mem: 31630 Epoch: [16] [4900/5278] eta: 0:18:10 lr: 3.0470743415356274e-05 loss: 0.0784 (0.0885) loss_seg: 0.0776 (0.0880) loss_lansim: 0.0544 (0.0442) loss_contra: 0.0019 (0.0071) time: 2.6965 data: 0.0052 max mem: 31630 Epoch: [16] [4910/5278] eta: 0:17:41 lr: 3.0468491337137274e-05 loss: 0.0796 (0.0885) loss_seg: 0.0790 (0.0880) loss_lansim: 0.0545 (0.0442) loss_contra: 0.0018 (0.0072) time: 2.6976 data: 0.0051 max mem: 31630 Epoch: [16] [4920/5278] eta: 0:17:12 lr: 3.0466239240422296e-05 loss: 0.0796 (0.0886) loss_seg: 0.0790 (0.0880) loss_lansim: 0.0556 (0.0443) loss_contra: 0.0017 (0.0072) time: 2.7005 data: 0.0051 max mem: 31630 Epoch: [16] [4930/5278] eta: 0:16:43 lr: 3.0463987125209687e-05 loss: 0.0796 (0.0885) loss_seg: 0.0790 (0.0880) loss_lansim: 0.0568 (0.0443) loss_contra: 0.0015 (0.0072) time: 2.6982 data: 0.0051 max mem: 31630 Epoch: [16] [4940/5278] eta: 0:16:14 lr: 3.0461734991497764e-05 loss: 0.0796 (0.0885) loss_seg: 0.0790 (0.0880) loss_lansim: 0.0570 (0.0443) loss_contra: 0.0015 (0.0072) time: 2.7027 data: 0.0051 max mem: 31630 Epoch: [16] [4950/5278] eta: 0:15:45 lr: 3.045948283928486e-05 loss: 0.0769 (0.0885) loss_seg: 0.0762 (0.0880) loss_lansim: 0.0576 (0.0444) loss_contra: 0.0015 (0.0072) time: 2.7011 data: 0.0051 max mem: 31630 Epoch: [16] [4960/5278] eta: 0:15:16 lr: 3.0457230668569305e-05 loss: 0.0766 (0.0885) loss_seg: 0.0759 (0.0880) loss_lansim: 0.0576 (0.0444) loss_contra: 0.0015 (0.0072) time: 2.7057 data: 0.0051 max mem: 31630 Epoch: [16] [4970/5278] eta: 0:14:47 lr: 3.045497847934942e-05 loss: 0.0769 (0.0885) loss_seg: 0.0762 (0.0880) loss_lansim: 0.0593 (0.0444) loss_contra: 0.0019 (0.0072) time: 2.7048 data: 0.0051 max mem: 31630 Epoch: [16] [4980/5278] eta: 0:14:18 lr: 3.045272627162354e-05 loss: 0.0766 (0.0885) loss_seg: 0.0759 (0.0879) loss_lansim: 0.0607 (0.0445) loss_contra: 0.0019 (0.0072) time: 2.7027 data: 0.0051 max mem: 31630 Epoch: [16] [4990/5278] eta: 0:13:49 lr: 3.0450474045389993e-05 loss: 0.0789 (0.0885) loss_seg: 0.0782 (0.0879) loss_lansim: 0.0616 (0.0445) loss_contra: 0.0021 (0.0072) time: 2.7050 data: 0.0051 max mem: 31630 Epoch: [16] [5000/5278] eta: 0:13:21 lr: 3.0448221800647097e-05 loss: 0.0769 (0.0885) loss_seg: 0.0762 (0.0879) loss_lansim: 0.0628 (0.0446) loss_contra: 0.0016 (0.0072) time: 2.7028 data: 0.0051 max mem: 31630 Epoch: [16] [5010/5278] eta: 0:12:52 lr: 3.044596953739318e-05 loss: 0.0789 (0.0885) loss_seg: 0.0782 (0.0880) loss_lansim: 0.0629 (0.0446) loss_contra: 0.0016 (0.0072) time: 2.7047 data: 0.0051 max mem: 31630 Epoch: [16] [5020/5278] eta: 0:12:23 lr: 3.0443717255626586e-05 loss: 0.0789 (0.0885) loss_seg: 0.0782 (0.0880) loss_lansim: 0.0635 (0.0447) loss_contra: 0.0016 (0.0072) time: 2.6978 data: 0.0051 max mem: 31630 Epoch: [16] [5030/5278] eta: 0:11:54 lr: 3.044146495534561e-05 loss: 0.0789 (0.0885) loss_seg: 0.0782 (0.0880) loss_lansim: 0.0649 (0.0447) loss_contra: 0.0014 (0.0072) time: 2.6998 data: 0.0051 max mem: 31630 Epoch: [16] [5040/5278] eta: 0:11:25 lr: 3.043921263654861e-05 loss: 0.0813 (0.0885) loss_seg: 0.0806 (0.0880) loss_lansim: 0.0649 (0.0448) loss_contra: 0.0011 (0.0072) time: 2.6966 data: 0.0051 max mem: 31630 Epoch: [16] [5050/5278] eta: 0:10:56 lr: 3.0436960299233885e-05 loss: 0.0847 (0.0885) loss_seg: 0.0840 (0.0880) loss_lansim: 0.0664 (0.0448) loss_contra: 0.0013 (0.0072) time: 2.6947 data: 0.0051 max mem: 31630 Epoch: [16] [5060/5278] eta: 0:10:27 lr: 3.043470794339977e-05 loss: 0.0832 (0.0885) loss_seg: 0.0826 (0.0880) loss_lansim: 0.0677 (0.0449) loss_contra: 0.0012 (0.0072) time: 2.6936 data: 0.0051 max mem: 31630 Epoch: [16] [5070/5278] eta: 0:09:58 lr: 3.04324555690446e-05 loss: 0.0832 (0.0885) loss_seg: 0.0826 (0.0880) loss_lansim: 0.0687 (0.0449) loss_contra: 0.0009 (0.0072) time: 2.6892 data: 0.0051 max mem: 31630 Epoch: [16] [5080/5278] eta: 0:09:29 lr: 3.043020317616669e-05 loss: 0.0860 (0.0885) loss_seg: 0.0851 (0.0880) loss_lansim: 0.0695 (0.0450) loss_contra: 0.0008 (0.0072) time: 2.6946 data: 0.0051 max mem: 31630 Epoch: [16] [5090/5278] eta: 0:09:01 lr: 3.0427950764764358e-05 loss: 0.0875 (0.0886) loss_seg: 0.0867 (0.0880) loss_lansim: 0.0701 (0.0450) loss_contra: 0.0010 (0.0072) time: 2.6892 data: 0.0051 max mem: 31630 Epoch: [16] [5100/5278] eta: 0:08:32 lr: 3.042569833483594e-05 loss: 0.0890 (0.0886) loss_seg: 0.0877 (0.0881) loss_lansim: 0.0687 (0.0451) loss_contra: 0.0009 (0.0072) time: 2.6903 data: 0.0051 max mem: 31630 Epoch: [16] [5110/5278] eta: 0:08:03 lr: 3.042344588637975e-05 loss: 0.0878 (0.0886) loss_seg: 0.0870 (0.0881) loss_lansim: 0.0690 (0.0451) loss_contra: 0.0010 (0.0072) time: 2.6896 data: 0.0051 max mem: 31630 Epoch: [16] [5120/5278] eta: 0:07:34 lr: 3.0421193419394124e-05 loss: 0.0875 (0.0886) loss_seg: 0.0867 (0.0881) loss_lansim: 0.0686 (0.0451) loss_contra: 0.0011 (0.0072) time: 2.6913 data: 0.0051 max mem: 31630 Epoch: [16] [5130/5278] eta: 0:07:05 lr: 3.0418940933877366e-05 loss: 0.0878 (0.0886) loss_seg: 0.0870 (0.0881) loss_lansim: 0.0679 (0.0452) loss_contra: 0.0011 (0.0072) time: 2.7070 data: 0.0051 max mem: 31630 Epoch: [16] [5140/5278] eta: 0:06:36 lr: 3.0416688429827818e-05 loss: 0.0862 (0.0886) loss_seg: 0.0855 (0.0881) loss_lansim: 0.0679 (0.0452) loss_contra: 0.0013 (0.0072) time: 2.7105 data: 0.0052 max mem: 31630 Epoch: [16] [5150/5278] eta: 0:06:08 lr: 3.04144359072438e-05 loss: 0.0859 (0.0886) loss_seg: 0.0851 (0.0881) loss_lansim: 0.0668 (0.0453) loss_contra: 0.0012 (0.0072) time: 2.7108 data: 0.0052 max mem: 31630 Epoch: [16] [5160/5278] eta: 0:05:39 lr: 3.0412183366123615e-05 loss: 0.0862 (0.0887) loss_seg: 0.0856 (0.0881) loss_lansim: 0.0665 (0.0453) loss_contra: 0.0013 (0.0072) time: 2.7094 data: 0.0052 max mem: 31630 Epoch: [16] [5170/5278] eta: 0:05:10 lr: 3.040993080646561e-05 loss: 0.0862 (0.0886) loss_seg: 0.0856 (0.0881) loss_lansim: 0.0649 (0.0453) loss_contra: 0.0016 (0.0072) time: 2.7156 data: 0.0052 max mem: 31630 Epoch: [16] [5180/5278] eta: 0:04:41 lr: 3.0407678228268088e-05 loss: 0.0890 (0.0887) loss_seg: 0.0873 (0.0881) loss_lansim: 0.0637 (0.0454) loss_contra: 0.0014 (0.0072) time: 2.7196 data: 0.0052 max mem: 31630 Epoch: [16] [5190/5278] eta: 0:04:13 lr: 3.0405425631529382e-05 loss: 0.0890 (0.0887) loss_seg: 0.0873 (0.0882) loss_lansim: 0.0631 (0.0454) loss_contra: 0.0010 (0.0072) time: 2.7328 data: 0.0053 max mem: 31630 Epoch: [16] [5200/5278] eta: 0:03:44 lr: 3.040317301624781e-05 loss: 0.0861 (0.0887) loss_seg: 0.0853 (0.0882) loss_lansim: 0.0631 (0.0454) loss_contra: 0.0009 (0.0072) time: 2.7385 data: 0.0053 max mem: 31630 Epoch: [16] [5210/5278] eta: 0:03:15 lr: 3.0400920382421695e-05 loss: 0.0870 (0.0888) loss_seg: 0.0865 (0.0883) loss_lansim: 0.0625 (0.0455) loss_contra: 0.0009 (0.0072) time: 2.7475 data: 0.0053 max mem: 31630 Epoch: [16] [5220/5278] eta: 0:02:46 lr: 3.0398667730049346e-05 loss: 0.0870 (0.0888) loss_seg: 0.0865 (0.0883) loss_lansim: 0.0622 (0.0455) loss_contra: 0.0008 (0.0072) time: 2.7606 data: 0.0053 max mem: 31630 Epoch: [16] [5230/5278] eta: 0:02:17 lr: 3.03964150591291e-05 loss: 0.0870 (0.0888) loss_seg: 0.0865 (0.0883) loss_lansim: 0.0612 (0.0455) loss_contra: 0.0008 (0.0072) time: 2.7494 data: 0.0054 max mem: 31630 Epoch: [16] [5240/5278] eta: 0:01:49 lr: 3.0394162369659256e-05 loss: 0.0867 (0.0888) loss_seg: 0.0860 (0.0883) loss_lansim: 0.0612 (0.0456) loss_contra: 0.0008 (0.0072) time: 2.7565 data: 0.0054 max mem: 31630 Epoch: [16] [5250/5278] eta: 0:01:20 lr: 3.039190966163816e-05 loss: 0.0867 (0.0888) loss_seg: 0.0860 (0.0883) loss_lansim: 0.0609 (0.0456) loss_contra: 0.0008 (0.0072) time: 2.7699 data: 0.0054 max mem: 31630 Epoch: [16] [5260/5278] eta: 0:00:51 lr: 3.0389656935064114e-05 loss: 0.0847 (0.0888) loss_seg: 0.0841 (0.0883) loss_lansim: 0.0607 (0.0456) loss_contra: 0.0006 (0.0072) time: 2.7776 data: 0.0055 max mem: 31630 Epoch: [16] [5270/5278] eta: 0:00:22 lr: 3.0387404189935437e-05 loss: 0.0839 (0.0888) loss_seg: 0.0833 (0.0883) loss_lansim: 0.0609 (0.0456) loss_contra: 0.0008 (0.0072) time: 2.7875 data: 0.0055 max mem: 31630 Epoch: [16] Total time: 4:12:49 Test: [ 0/2573] eta: 1:15:44 time: 1.7663 data: 1.6028 max mem: 31630 Test: [ 100/2573] eta: 0:06:28 time: 0.1409 data: 0.0015 max mem: 31630 Test: [ 200/2573] eta: 0:06:00 time: 0.1471 data: 0.0016 max mem: 31630 Test: [ 300/2573] eta: 0:05:38 time: 0.1425 data: 0.0016 max mem: 31630 Test: [ 400/2573] eta: 0:05:20 time: 0.1439 data: 0.0016 max mem: 31630 Test: [ 500/2573] eta: 0:05:04 time: 0.1438 data: 0.0016 max mem: 31630 Test: [ 600/2573] eta: 0:04:49 time: 0.1450 data: 0.0016 max mem: 31630 Test: [ 700/2573] eta: 0:04:35 time: 0.1490 data: 0.0016 max mem: 31630 Test: [ 800/2573] eta: 0:04:20 time: 0.1469 data: 0.0016 max mem: 31630 Test: [ 900/2573] eta: 0:04:05 time: 0.1470 data: 0.0016 max mem: 31630 Test: [1000/2573] eta: 0:03:50 time: 0.1452 data: 0.0016 max mem: 31630 Test: [1100/2573] eta: 0:03:35 time: 0.1450 data: 0.0016 max mem: 31630 Test: [1200/2573] eta: 0:03:21 time: 0.1474 data: 0.0016 max mem: 31630 Test: [1300/2573] eta: 0:03:06 time: 0.1462 data: 0.0016 max mem: 31630 Test: [1400/2573] eta: 0:02:51 time: 0.1423 data: 0.0016 max mem: 31630 Test: [1500/2573] eta: 0:02:36 time: 0.1461 data: 0.0016 max mem: 31630 Test: [1600/2573] eta: 0:02:22 time: 0.1453 data: 0.0016 max mem: 31630 Test: [1700/2573] eta: 0:02:07 time: 0.1464 data: 0.0016 max mem: 31630 Test: [1800/2573] eta: 0:01:52 time: 0.1441 data: 0.0016 max mem: 31630 Test: [1900/2573] eta: 0:01:38 time: 0.1418 data: 0.0016 max mem: 31630 Test: [2000/2573] eta: 0:01:23 time: 0.1416 data: 0.0016 max mem: 31630 Test: [2100/2573] eta: 0:01:08 time: 0.1468 data: 0.0016 max mem: 31630 Test: [2200/2573] eta: 0:00:54 time: 0.1420 data: 0.0016 max mem: 31630 Test: [2300/2573] eta: 0:00:39 time: 0.1472 data: 0.0016 max mem: 31630 Test: [2400/2573] eta: 0:00:25 time: 0.1447 data: 0.0016 max mem: 31630 Test: [2500/2573] eta: 0:00:10 time: 0.1475 data: 0.0016 max mem: 31630 Test: Total time: 0:06:15 Final results: precision@0.5 = 65.01 precision@0.6 = 60.54 precision@0.7 = 52.78 precision@0.8 = 41.16 precision@0.9 = 18.85 overall IoU = 56.98 mean IoU = 57.68 Better epoch: 16 The best_performance is 56.9799239167962 Epoch: [17] [ 0/5278] eta: 6:46:18 lr: 3.038560198047204e-05 loss: 0.0664 (0.0664) loss_seg: 0.0658 (0.0658) loss_lansim: 0.0625 (0.0625) loss_contra: 0.0003 (0.0003) time: 4.6189 data: 1.6202 max mem: 31630 Epoch: [17] [ 10/5278] eta: 4:23:56 lr: 3.03833492019408e-05 loss: 0.0658 (0.0688) loss_seg: 0.0651 (0.0682) loss_lansim: 0.0569 (0.0579) loss_contra: 0.0011 (0.0013) time: 3.0062 data: 0.1522 max mem: 31630 Epoch: [17] [ 20/5278] eta: 4:18:53 lr: 3.0381096404850217e-05 loss: 0.0654 (0.0709) loss_seg: 0.0648 (0.0702) loss_lansim: 0.0563 (0.0569) loss_contra: 0.0011 (0.0043) time: 2.9543 data: 0.0819 max mem: 31630 Epoch: [17] [ 30/5278] eta: 4:16:15 lr: 3.037884358919863e-05 loss: 0.0658 (0.0754) loss_seg: 0.0651 (0.0748) loss_lansim: 0.0569 (0.0583) loss_contra: 0.0011 (0.0038) time: 2.9297 data: 0.0574 max mem: 31630 Epoch: [17] [ 40/5278] eta: 4:14:53 lr: 3.0376590754984334e-05 loss: 0.0664 (0.0831) loss_seg: 0.0658 (0.0824) loss_lansim: 0.0569 (0.0581) loss_contra: 0.0011 (0.0035) time: 2.9197 data: 0.0448 max mem: 31630 Epoch: [17] [ 50/5278] eta: 4:14:22 lr: 3.0374337902205657e-05 loss: 0.0665 (0.0818) loss_seg: 0.0658 (0.0812) loss_lansim: 0.0586 (0.0589) loss_contra: 0.0011 (0.0044) time: 2.9194 data: 0.0372 max mem: 31630 Epoch: [17] [ 60/5278] eta: 4:13:42 lr: 3.037208503086092e-05 loss: 0.0727 (0.0840) loss_seg: 0.0722 (0.0834) loss_lansim: 0.0586 (0.0589) loss_contra: 0.0010 (0.0040) time: 2.9172 data: 0.0320 max mem: 31630 Epoch: [17] [ 70/5278] eta: 4:12:58 lr: 3.036983214094843e-05 loss: 0.0727 (0.0830) loss_seg: 0.0722 (0.0824) loss_lansim: 0.0593 (0.0597) loss_contra: 0.0009 (0.0041) time: 2.9145 data: 0.0283 max mem: 31630 Epoch: [17] [ 80/5278] eta: 4:12:08 lr: 3.0367579232466505e-05 loss: 0.0727 (0.0824) loss_seg: 0.0722 (0.0818) loss_lansim: 0.0596 (0.0601) loss_contra: 0.0008 (0.0038) time: 2.9104 data: 0.0255 max mem: 31630 Epoch: [17] [ 90/5278] eta: 4:11:20 lr: 3.036532630541347e-05 loss: 0.0720 (0.0821) loss_seg: 0.0714 (0.0814) loss_lansim: 0.0596 (0.0601) loss_contra: 0.0010 (0.0050) time: 2.9069 data: 0.0233 max mem: 31630 Epoch: [17] [ 100/5278] eta: 4:10:45 lr: 3.036307335978763e-05 loss: 0.0734 (0.0828) loss_seg: 0.0729 (0.0822) loss_lansim: 0.0595 (0.0603) loss_contra: 0.0010 (0.0048) time: 2.8885 data: 0.0055 max mem: 31630 Epoch: [17] [ 110/5278] eta: 4:10:26 lr: 3.0360820395587308e-05 loss: 0.0740 (0.0849) loss_seg: 0.0734 (0.0842) loss_lansim: 0.0603 (0.0612) loss_contra: 0.0010 (0.0059) time: 2.8967 data: 0.0055 max mem: 31630 Epoch: [17] [ 120/5278] eta: 4:09:53 lr: 3.0358567412810818e-05 loss: 0.0740 (0.0847) loss_seg: 0.0734 (0.0841) loss_lansim: 0.0616 (0.0627) loss_contra: 0.0009 (0.0056) time: 2.8968 data: 0.0056 max mem: 31630 Epoch: [17] [ 130/5278] eta: 4:09:34 lr: 3.035631441145647e-05 loss: 0.0748 (0.0841) loss_seg: 0.0740 (0.0834) loss_lansim: 0.0620 (0.0641) loss_contra: 0.0011 (0.0053) time: 2.9023 data: 0.0056 max mem: 31630 Epoch: [17] [ 140/5278] eta: 4:09:19 lr: 3.0354061391522594e-05 loss: 0.0745 (0.0839) loss_seg: 0.0739 (0.0832) loss_lansim: 0.0650 (0.0650) loss_contra: 0.0009 (0.0050) time: 2.9083 data: 0.0056 max mem: 31630 Epoch: [17] [ 150/5278] eta: 4:09:04 lr: 3.0351808353007484e-05 loss: 0.0764 (0.0839) loss_seg: 0.0755 (0.0832) loss_lansim: 0.0664 (0.0660) loss_contra: 0.0010 (0.0053) time: 2.9117 data: 0.0056 max mem: 31630 Epoch: [17] [ 160/5278] eta: 4:08:34 lr: 3.0349555295909464e-05 loss: 0.0748 (0.0838) loss_seg: 0.0740 (0.0830) loss_lansim: 0.0713 (0.0669) loss_contra: 0.0010 (0.0051) time: 2.9123 data: 0.0056 max mem: 31630 Epoch: [17] [ 170/5278] eta: 4:08:08 lr: 3.0347302220226847e-05 loss: 0.0764 (0.0838) loss_seg: 0.0755 (0.0831) loss_lansim: 0.0744 (0.0679) loss_contra: 0.0009 (0.0048) time: 2.9150 data: 0.0056 max mem: 31630 Epoch: [17] [ 180/5278] eta: 4:07:40 lr: 3.0345049125957952e-05 loss: 0.0773 (0.0844) loss_seg: 0.0766 (0.0837) loss_lansim: 0.0756 (0.0683) loss_contra: 0.0011 (0.0056) time: 2.9188 data: 0.0056 max mem: 31630 Epoch: [17] [ 190/5278] eta: 4:07:12 lr: 3.034279601310109e-05 loss: 0.0773 (0.0841) loss_seg: 0.0766 (0.0834) loss_lansim: 0.0762 (0.0685) loss_contra: 0.0010 (0.0056) time: 2.9228 data: 0.0056 max mem: 31630 Epoch: [17] [ 200/5278] eta: 4:06:28 lr: 3.034054288165456e-05 loss: 0.0765 (0.0839) loss_seg: 0.0758 (0.0832) loss_lansim: 0.0761 (0.0683) loss_contra: 0.0012 (0.0057) time: 2.9191 data: 0.0057 max mem: 31630 Epoch: [17] [ 210/5278] eta: 4:05:42 lr: 3.0338289731616692e-05 loss: 0.0773 (0.0847) loss_seg: 0.0766 (0.0840) loss_lansim: 0.0756 (0.0681) loss_contra: 0.0010 (0.0057) time: 2.9105 data: 0.0057 max mem: 31630 Epoch: [17] [ 220/5278] eta: 4:04:57 lr: 3.03360365629858e-05 loss: 0.0773 (0.0842) loss_seg: 0.0766 (0.0834) loss_lansim: 0.0750 (0.0679) loss_contra: 0.0013 (0.0057) time: 2.9044 data: 0.0058 max mem: 31630 Epoch: [17] [ 230/5278] eta: 4:04:12 lr: 3.033378337576017e-05 loss: 0.0769 (0.0836) loss_seg: 0.0762 (0.0828) loss_lansim: 0.0731 (0.0679) loss_contra: 0.0013 (0.0056) time: 2.8945 data: 0.0059 max mem: 31630 Epoch: [17] [ 240/5278] eta: 4:03:29 lr: 3.0331530169938148e-05 loss: 0.0767 (0.0834) loss_seg: 0.0762 (0.0827) loss_lansim: 0.0711 (0.0678) loss_contra: 0.0013 (0.0056) time: 2.8833 data: 0.0060 max mem: 31630 Epoch: [17] [ 250/5278] eta: 4:02:49 lr: 3.0329276945518026e-05 loss: 0.0767 (0.0833) loss_seg: 0.0762 (0.0826) loss_lansim: 0.0688 (0.0677) loss_contra: 0.0013 (0.0055) time: 2.8728 data: 0.0061 max mem: 31630 Epoch: [17] [ 260/5278] eta: 4:02:12 lr: 3.0327023702498114e-05 loss: 0.0773 (0.0837) loss_seg: 0.0766 (0.0830) loss_lansim: 0.0670 (0.0675) loss_contra: 0.0013 (0.0055) time: 2.8672 data: 0.0063 max mem: 31630 Epoch: [17] [ 270/5278] eta: 4:01:36 lr: 3.032477044087674e-05 loss: 0.0782 (0.0846) loss_seg: 0.0776 (0.0839) loss_lansim: 0.0654 (0.0672) loss_contra: 0.0015 (0.0054) time: 2.8604 data: 0.0065 max mem: 31630 Epoch: [17] [ 280/5278] eta: 4:00:56 lr: 3.0322517160652192e-05 loss: 0.0776 (0.0844) loss_seg: 0.0769 (0.0837) loss_lansim: 0.0642 (0.0670) loss_contra: 0.0015 (0.0052) time: 2.8516 data: 0.0067 max mem: 31630 Epoch: [17] [ 290/5278] eta: 4:00:17 lr: 3.0320263861822794e-05 loss: 0.0776 (0.0841) loss_seg: 0.0769 (0.0833) loss_lansim: 0.0623 (0.0668) loss_contra: 0.0016 (0.0053) time: 2.8428 data: 0.0069 max mem: 31630 Epoch: [17] [ 300/5278] eta: 3:59:38 lr: 3.031801054438686e-05 loss: 0.0782 (0.0847) loss_seg: 0.0776 (0.0840) loss_lansim: 0.0622 (0.0667) loss_contra: 0.0015 (0.0053) time: 2.8403 data: 0.0069 max mem: 31630 Epoch: [17] [ 310/5278] eta: 3:59:00 lr: 3.0315757208342683e-05 loss: 0.0776 (0.0846) loss_seg: 0.0769 (0.0839) loss_lansim: 0.0623 (0.0667) loss_contra: 0.0015 (0.0052) time: 2.8396 data: 0.0070 max mem: 31630 Epoch: [17] [ 320/5278] eta: 3:58:23 lr: 3.0313503853688592e-05 loss: 0.0786 (0.0844) loss_seg: 0.0779 (0.0837) loss_lansim: 0.0637 (0.0669) loss_contra: 0.0009 (0.0052) time: 2.8389 data: 0.0071 max mem: 31630 Epoch: [17] [ 330/5278] eta: 3:57:53 lr: 3.0311250480422877e-05 loss: 0.0776 (0.0837) loss_seg: 0.0769 (0.0830) loss_lansim: 0.0652 (0.0671) loss_contra: 0.0008 (0.0053) time: 2.8436 data: 0.0071 max mem: 31630 Epoch: [17] [ 340/5278] eta: 3:57:25 lr: 3.030899708854386e-05 loss: 0.0776 (0.0837) loss_seg: 0.0769 (0.0829) loss_lansim: 0.0652 (0.0669) loss_contra: 0.0008 (0.0053) time: 2.8486 data: 0.0071 max mem: 31630 Epoch: [17] [ 350/5278] eta: 3:57:02 lr: 3.0306743678049854e-05 loss: 0.0759 (0.0832) loss_seg: 0.0750 (0.0825) loss_lansim: 0.0648 (0.0670) loss_contra: 0.0007 (0.0052) time: 2.8564 data: 0.0070 max mem: 31630 Epoch: [17] [ 360/5278] eta: 3:56:37 lr: 3.0304490248939155e-05 loss: 0.0743 (0.0828) loss_seg: 0.0733 (0.0820) loss_lansim: 0.0648 (0.0670) loss_contra: 0.0007 (0.0051) time: 2.8623 data: 0.0068 max mem: 31630 Epoch: [17] [ 370/5278] eta: 3:56:13 lr: 3.0302236801210072e-05 loss: 0.0727 (0.0825) loss_seg: 0.0719 (0.0818) loss_lansim: 0.0652 (0.0669) loss_contra: 0.0006 (0.0050) time: 2.8688 data: 0.0067 max mem: 31630 Epoch: [17] [ 380/5278] eta: 3:55:50 lr: 3.0299983334860914e-05 loss: 0.0727 (0.0827) loss_seg: 0.0717 (0.0820) loss_lansim: 0.0643 (0.0666) loss_contra: 0.0006 (0.0049) time: 2.8794 data: 0.0065 max mem: 31630 Epoch: [17] [ 390/5278] eta: 3:55:19 lr: 3.0297729849889995e-05 loss: 0.0735 (0.0828) loss_seg: 0.0729 (0.0821) loss_lansim: 0.0644 (0.0665) loss_contra: 0.0005 (0.0049) time: 2.8836 data: 0.0065 max mem: 31630 Epoch: [17] [ 400/5278] eta: 3:54:57 lr: 3.0295476346295627e-05 loss: 0.0695 (0.0825) loss_seg: 0.0688 (0.0818) loss_lansim: 0.0646 (0.0665) loss_contra: 0.0005 (0.0048) time: 2.8951 data: 0.0064 max mem: 31630 Epoch: [17] [ 410/5278] eta: 3:54:32 lr: 3.0293222824076095e-05 loss: 0.0685 (0.0820) loss_seg: 0.0677 (0.0813) loss_lansim: 0.0644 (0.0664) loss_contra: 0.0006 (0.0047) time: 2.9040 data: 0.0063 max mem: 31630 Epoch: [17] [ 420/5278] eta: 3:54:02 lr: 3.0290969283229725e-05 loss: 0.0682 (0.0817) loss_seg: 0.0676 (0.0810) loss_lansim: 0.0635 (0.0664) loss_contra: 0.0005 (0.0049) time: 2.9088 data: 0.0062 max mem: 31630 Epoch: [17] [ 430/5278] eta: 3:53:36 lr: 3.0288715723754818e-05 loss: 0.0700 (0.0815) loss_seg: 0.0691 (0.0808) loss_lansim: 0.0615 (0.0663) loss_contra: 0.0005 (0.0048) time: 2.9126 data: 0.0061 max mem: 31630 Epoch: [17] [ 440/5278] eta: 3:53:10 lr: 3.0286462145649668e-05 loss: 0.0682 (0.0812) loss_seg: 0.0676 (0.0805) loss_lansim: 0.0624 (0.0662) loss_contra: 0.0005 (0.0050) time: 2.9153 data: 0.0060 max mem: 31630 Epoch: [17] [ 450/5278] eta: 3:52:40 lr: 3.0284208548912602e-05 loss: 0.0685 (0.0811) loss_seg: 0.0677 (0.0804) loss_lansim: 0.0623 (0.0662) loss_contra: 0.0006 (0.0049) time: 2.9113 data: 0.0060 max mem: 31630 Epoch: [17] [ 460/5278] eta: 3:52:14 lr: 3.0281954933541913e-05 loss: 0.0690 (0.0809) loss_seg: 0.0683 (0.0802) loss_lansim: 0.0605 (0.0659) loss_contra: 0.0007 (0.0050) time: 2.9112 data: 0.0060 max mem: 31630 Epoch: [17] [ 470/5278] eta: 3:51:45 lr: 3.0279701299535902e-05 loss: 0.0700 (0.0811) loss_seg: 0.0694 (0.0803) loss_lansim: 0.0612 (0.0659) loss_contra: 0.0007 (0.0049) time: 2.9085 data: 0.0060 max mem: 31630 Epoch: [17] [ 480/5278] eta: 3:51:17 lr: 3.0277447646892893e-05 loss: 0.0665 (0.0806) loss_seg: 0.0659 (0.0799) loss_lansim: 0.0612 (0.0657) loss_contra: 0.0007 (0.0048) time: 2.9046 data: 0.0061 max mem: 31630 Epoch: [17] [ 490/5278] eta: 3:50:48 lr: 3.0275193975611165e-05 loss: 0.0661 (0.0805) loss_seg: 0.0654 (0.0798) loss_lansim: 0.0614 (0.0656) loss_contra: 0.0006 (0.0047) time: 2.9072 data: 0.0061 max mem: 31630 Epoch: [17] [ 500/5278] eta: 3:50:18 lr: 3.0272940285689033e-05 loss: 0.0663 (0.0804) loss_seg: 0.0656 (0.0797) loss_lansim: 0.0615 (0.0655) loss_contra: 0.0006 (0.0047) time: 2.9007 data: 0.0061 max mem: 31630 Epoch: [17] [ 510/5278] eta: 3:49:51 lr: 3.0270686577124814e-05 loss: 0.0665 (0.0806) loss_seg: 0.0659 (0.0799) loss_lansim: 0.0609 (0.0654) loss_contra: 0.0005 (0.0046) time: 2.8997 data: 0.0061 max mem: 31630 Epoch: [17] [ 520/5278] eta: 3:49:20 lr: 3.0268432849916783e-05 loss: 0.0668 (0.0806) loss_seg: 0.0662 (0.0799) loss_lansim: 0.0609 (0.0653) loss_contra: 0.0005 (0.0045) time: 2.8988 data: 0.0061 max mem: 31630 Epoch: [17] [ 530/5278] eta: 3:48:49 lr: 3.0266179104063274e-05 loss: 0.0676 (0.0809) loss_seg: 0.0670 (0.0802) loss_lansim: 0.0607 (0.0652) loss_contra: 0.0005 (0.0045) time: 2.8932 data: 0.0061 max mem: 31630 Epoch: [17] [ 540/5278] eta: 3:48:21 lr: 3.026392533956257e-05 loss: 0.0721 (0.0810) loss_seg: 0.0715 (0.0803) loss_lansim: 0.0602 (0.0652) loss_contra: 0.0005 (0.0045) time: 2.8919 data: 0.0061 max mem: 31630 Epoch: [17] [ 550/5278] eta: 3:47:50 lr: 3.0261671556412985e-05 loss: 0.0729 (0.0810) loss_seg: 0.0721 (0.0803) loss_lansim: 0.0604 (0.0652) loss_contra: 0.0004 (0.0044) time: 2.8909 data: 0.0061 max mem: 31630 Epoch: [17] [ 560/5278] eta: 3:47:23 lr: 3.0259417754612817e-05 loss: 0.0747 (0.0812) loss_seg: 0.0739 (0.0806) loss_lansim: 0.0612 (0.0652) loss_contra: 0.0004 (0.0044) time: 2.8906 data: 0.0061 max mem: 31630 Epoch: [17] [ 570/5278] eta: 3:46:54 lr: 3.025716393416036e-05 loss: 0.0754 (0.0813) loss_seg: 0.0748 (0.0807) loss_lansim: 0.0610 (0.0652) loss_contra: 0.0004 (0.0044) time: 2.8896 data: 0.0060 max mem: 31630 Epoch: [17] [ 580/5278] eta: 3:46:22 lr: 3.025491009505393e-05 loss: 0.0769 (0.0811) loss_seg: 0.0762 (0.0804) loss_lansim: 0.0619 (0.0652) loss_contra: 0.0004 (0.0044) time: 2.8861 data: 0.0059 max mem: 31630 Epoch: [17] [ 590/5278] eta: 3:45:55 lr: 3.025265623729182e-05 loss: 0.0756 (0.0811) loss_seg: 0.0749 (0.0804) loss_lansim: 0.0619 (0.0652) loss_contra: 0.0004 (0.0044) time: 2.8870 data: 0.0059 max mem: 31630 Epoch: [17] [ 600/5278] eta: 3:45:26 lr: 3.0250402360872326e-05 loss: 0.0756 (0.0809) loss_seg: 0.0749 (0.0802) loss_lansim: 0.0614 (0.0652) loss_contra: 0.0005 (0.0043) time: 2.8881 data: 0.0059 max mem: 31630 Epoch: [17] [ 610/5278] eta: 3:44:55 lr: 3.024814846579377e-05 loss: 0.0756 (0.0810) loss_seg: 0.0749 (0.0803) loss_lansim: 0.0617 (0.0651) loss_contra: 0.0005 (0.0043) time: 2.8839 data: 0.0059 max mem: 31630 Epoch: [17] [ 620/5278] eta: 3:44:25 lr: 3.0245894552054426e-05 loss: 0.0747 (0.0808) loss_seg: 0.0739 (0.0801) loss_lansim: 0.0617 (0.0651) loss_contra: 0.0005 (0.0042) time: 2.8845 data: 0.0059 max mem: 31630 Epoch: [17] [ 630/5278] eta: 3:43:56 lr: 3.0243640619652613e-05 loss: 0.0729 (0.0806) loss_seg: 0.0721 (0.0799) loss_lansim: 0.0620 (0.0651) loss_contra: 0.0005 (0.0042) time: 2.8867 data: 0.0059 max mem: 31630 Epoch: [17] [ 640/5278] eta: 3:43:29 lr: 3.0241386668586626e-05 loss: 0.0729 (0.0808) loss_seg: 0.0722 (0.0801) loss_lansim: 0.0628 (0.0651) loss_contra: 0.0005 (0.0041) time: 2.8887 data: 0.0059 max mem: 31630 Epoch: [17] [ 650/5278] eta: 3:43:00 lr: 3.0239132698854756e-05 loss: 0.0724 (0.0809) loss_seg: 0.0718 (0.0802) loss_lansim: 0.0625 (0.0651) loss_contra: 0.0004 (0.0043) time: 2.8893 data: 0.0059 max mem: 31630 Epoch: [17] [ 660/5278] eta: 3:42:29 lr: 3.0236878710455324e-05 loss: 0.0724 (0.0813) loss_seg: 0.0718 (0.0806) loss_lansim: 0.0628 (0.0652) loss_contra: 0.0005 (0.0043) time: 2.8841 data: 0.0059 max mem: 31630 Epoch: [17] [ 670/5278] eta: 3:41:59 lr: 3.0234624703386604e-05 loss: 0.0742 (0.0814) loss_seg: 0.0734 (0.0807) loss_lansim: 0.0624 (0.0651) loss_contra: 0.0005 (0.0045) time: 2.8842 data: 0.0059 max mem: 31630 Epoch: [17] [ 680/5278] eta: 3:41:28 lr: 3.023237067764691e-05 loss: 0.0746 (0.0813) loss_seg: 0.0738 (0.0806) loss_lansim: 0.0624 (0.0650) loss_contra: 0.0005 (0.0048) time: 2.8829 data: 0.0059 max mem: 31630 Epoch: [17] [ 690/5278] eta: 3:40:58 lr: 3.0230116633234544e-05 loss: 0.0760 (0.0815) loss_seg: 0.0754 (0.0808) loss_lansim: 0.0624 (0.0651) loss_contra: 0.0006 (0.0049) time: 2.8802 data: 0.0059 max mem: 31630 Epoch: [17] [ 700/5278] eta: 3:40:28 lr: 3.0227862570147792e-05 loss: 0.0760 (0.0814) loss_seg: 0.0754 (0.0807) loss_lansim: 0.0625 (0.0650) loss_contra: 0.0006 (0.0050) time: 2.8779 data: 0.0059 max mem: 31630 Epoch: [17] [ 710/5278] eta: 3:39:58 lr: 3.0225608488384953e-05 loss: 0.0760 (0.0815) loss_seg: 0.0754 (0.0808) loss_lansim: 0.0640 (0.0652) loss_contra: 0.0006 (0.0050) time: 2.8782 data: 0.0059 max mem: 31630 Epoch: [17] [ 720/5278] eta: 3:39:28 lr: 3.0223354387944343e-05 loss: 0.0780 (0.0814) loss_seg: 0.0772 (0.0807) loss_lansim: 0.0651 (0.0654) loss_contra: 0.0010 (0.0051) time: 2.8778 data: 0.0059 max mem: 31630 Epoch: [17] [ 730/5278] eta: 3:38:56 lr: 3.0221100268824227e-05 loss: 0.0797 (0.0814) loss_seg: 0.0785 (0.0807) loss_lansim: 0.0663 (0.0654) loss_contra: 0.0013 (0.0051) time: 2.8733 data: 0.0058 max mem: 31630 Epoch: [17] [ 740/5278] eta: 3:38:27 lr: 3.021884613102293e-05 loss: 0.0783 (0.0814) loss_seg: 0.0775 (0.0807) loss_lansim: 0.0661 (0.0654) loss_contra: 0.0018 (0.0051) time: 2.8696 data: 0.0058 max mem: 31630 Epoch: [17] [ 750/5278] eta: 3:37:55 lr: 3.0216591974538745e-05 loss: 0.0783 (0.0815) loss_seg: 0.0775 (0.0808) loss_lansim: 0.0663 (0.0654) loss_contra: 0.0020 (0.0051) time: 2.8659 data: 0.0059 max mem: 31630 Epoch: [17] [ 760/5278] eta: 3:37:27 lr: 3.021433779936995e-05 loss: 0.0775 (0.0817) loss_seg: 0.0768 (0.0810) loss_lansim: 0.0663 (0.0655) loss_contra: 0.0024 (0.0051) time: 2.8696 data: 0.0059 max mem: 31630 Epoch: [17] [ 770/5278] eta: 3:36:57 lr: 3.0212083605514867e-05 loss: 0.0772 (0.0816) loss_seg: 0.0765 (0.0809) loss_lansim: 0.0663 (0.0655) loss_contra: 0.0027 (0.0053) time: 2.8674 data: 0.0059 max mem: 31630 Epoch: [17] [ 780/5278] eta: 3:36:28 lr: 3.0209829392971774e-05 loss: 0.0772 (0.0817) loss_seg: 0.0765 (0.0810) loss_lansim: 0.0679 (0.0656) loss_contra: 0.0030 (0.0058) time: 2.8711 data: 0.0059 max mem: 31630 Epoch: [17] [ 790/5278] eta: 3:36:01 lr: 3.020757516173897e-05 loss: 0.0741 (0.0816) loss_seg: 0.0734 (0.0809) loss_lansim: 0.0684 (0.0656) loss_contra: 0.0030 (0.0058) time: 2.8746 data: 0.0059 max mem: 31630 Epoch: [17] [ 800/5278] eta: 3:35:31 lr: 3.020532091181476e-05 loss: 0.0742 (0.0815) loss_seg: 0.0735 (0.0808) loss_lansim: 0.0685 (0.0657) loss_contra: 0.0035 (0.0063) time: 2.8746 data: 0.0060 max mem: 31630 Epoch: [17] [ 810/5278] eta: 3:35:02 lr: 3.020306664319742e-05 loss: 0.0766 (0.0816) loss_seg: 0.0758 (0.0809) loss_lansim: 0.0680 (0.0657) loss_contra: 0.0038 (0.0065) time: 2.8759 data: 0.0060 max mem: 31630 Epoch: [17] [ 820/5278] eta: 3:34:35 lr: 3.0200812355885267e-05 loss: 0.0742 (0.0815) loss_seg: 0.0734 (0.0808) loss_lansim: 0.0684 (0.0658) loss_contra: 0.0035 (0.0065) time: 2.8808 data: 0.0060 max mem: 31630 Epoch: [17] [ 830/5278] eta: 3:34:05 lr: 3.0198558049876574e-05 loss: 0.0731 (0.0814) loss_seg: 0.0724 (0.0807) loss_lansim: 0.0689 (0.0659) loss_contra: 0.0030 (0.0065) time: 2.8852 data: 0.0060 max mem: 31630 Epoch: [17] [ 840/5278] eta: 3:33:35 lr: 3.019630372516965e-05 loss: 0.0726 (0.0814) loss_seg: 0.0718 (0.0806) loss_lansim: 0.0691 (0.0659) loss_contra: 0.0030 (0.0065) time: 2.8835 data: 0.0060 max mem: 31630 Epoch: [17] [ 850/5278] eta: 3:33:11 lr: 3.019404938176279e-05 loss: 0.0711 (0.0812) loss_seg: 0.0702 (0.0805) loss_lansim: 0.0695 (0.0660) loss_contra: 0.0025 (0.0065) time: 2.8958 data: 0.0060 max mem: 31630 Epoch: [17] [ 860/5278] eta: 3:32:48 lr: 3.0191795019654272e-05 loss: 0.0711 (0.0810) loss_seg: 0.0701 (0.0803) loss_lansim: 0.0691 (0.0660) loss_contra: 0.0022 (0.0066) time: 2.9074 data: 0.0061 max mem: 31630 Epoch: [17] [ 870/5278] eta: 3:32:26 lr: 3.0189540638842405e-05 loss: 0.0707 (0.0810) loss_seg: 0.0698 (0.0802) loss_lansim: 0.0695 (0.0661) loss_contra: 0.0017 (0.0065) time: 2.9227 data: 0.0062 max mem: 31630 Epoch: [17] [ 880/5278] eta: 3:32:03 lr: 3.0187286239325473e-05 loss: 0.0711 (0.0811) loss_seg: 0.0701 (0.0803) loss_lansim: 0.0692 (0.0661) loss_contra: 0.0014 (0.0065) time: 2.9361 data: 0.0062 max mem: 31630 Epoch: [17] [ 890/5278] eta: 3:31:39 lr: 3.0185031821101774e-05 loss: 0.0707 (0.0811) loss_seg: 0.0698 (0.0804) loss_lansim: 0.0695 (0.0662) loss_contra: 0.0013 (0.0064) time: 2.9426 data: 0.0062 max mem: 31630 Epoch: [17] [ 900/5278] eta: 3:31:15 lr: 3.0182777384169597e-05 loss: 0.0702 (0.0810) loss_seg: 0.0694 (0.0803) loss_lansim: 0.0692 (0.0662) loss_contra: 0.0010 (0.0064) time: 2.9562 data: 0.0062 max mem: 31630 Epoch: [17] [ 910/5278] eta: 3:30:53 lr: 3.0180522928527238e-05 loss: 0.0691 (0.0809) loss_seg: 0.0683 (0.0801) loss_lansim: 0.0695 (0.0662) loss_contra: 0.0010 (0.0064) time: 2.9717 data: 0.0063 max mem: 31630 Epoch: [17] [ 920/5278] eta: 3:30:29 lr: 3.0178268454172982e-05 loss: 0.0699 (0.0808) loss_seg: 0.0691 (0.0801) loss_lansim: 0.0695 (0.0663) loss_contra: 0.0010 (0.0064) time: 2.9786 data: 0.0064 max mem: 31630 Epoch: [17] [ 930/5278] eta: 3:30:00 lr: 3.0176013961105133e-05 loss: 0.0699 (0.0809) loss_seg: 0.0692 (0.0801) loss_lansim: 0.0692 (0.0664) loss_contra: 0.0009 (0.0065) time: 2.9807 data: 0.0063 max mem: 31630 Epoch: [17] [ 940/5278] eta: 3:29:33 lr: 3.017375944932196e-05 loss: 0.0699 (0.0809) loss_seg: 0.0692 (0.0802) loss_lansim: 0.0692 (0.0664) loss_contra: 0.0008 (0.0064) time: 2.9873 data: 0.0063 max mem: 31630 Epoch: [17] [ 950/5278] eta: 3:29:05 lr: 3.017150491882178e-05 loss: 0.0710 (0.0810) loss_seg: 0.0701 (0.0802) loss_lansim: 0.0698 (0.0665) loss_contra: 0.0009 (0.0065) time: 2.9833 data: 0.0063 max mem: 31630 Epoch: [17] [ 960/5278] eta: 3:28:36 lr: 3.0169250369602863e-05 loss: 0.0714 (0.0809) loss_seg: 0.0707 (0.0802) loss_lansim: 0.0705 (0.0666) loss_contra: 0.0006 (0.0065) time: 2.9723 data: 0.0063 max mem: 31630 Epoch: [17] [ 970/5278] eta: 3:28:10 lr: 3.0166995801663512e-05 loss: 0.0721 (0.0808) loss_seg: 0.0713 (0.0801) loss_lansim: 0.0701 (0.0667) loss_contra: 0.0007 (0.0064) time: 2.9660 data: 0.0062 max mem: 31630 Epoch: [17] [ 980/5278] eta: 3:27:43 lr: 3.0164741215002012e-05 loss: 0.0710 (0.0808) loss_seg: 0.0701 (0.0800) loss_lansim: 0.0701 (0.0667) loss_contra: 0.0007 (0.0064) time: 2.9601 data: 0.0061 max mem: 31630 Epoch: [17] [ 990/5278] eta: 3:27:15 lr: 3.0162486609616652e-05 loss: 0.0714 (0.0808) loss_seg: 0.0707 (0.0800) loss_lansim: 0.0705 (0.0667) loss_contra: 0.0006 (0.0063) time: 2.9544 data: 0.0061 max mem: 31630 Epoch: [17] [1000/5278] eta: 3:26:46 lr: 3.0160231985505722e-05 loss: 0.0734 (0.0809) loss_seg: 0.0726 (0.0801) loss_lansim: 0.0705 (0.0668) loss_contra: 0.0007 (0.0063) time: 2.9426 data: 0.0061 max mem: 31630 Epoch: [17] [1010/5278] eta: 3:26:17 lr: 3.0157977342667516e-05 loss: 0.0734 (0.0808) loss_seg: 0.0726 (0.0801) loss_lansim: 0.0701 (0.0667) loss_contra: 0.0007 (0.0063) time: 2.9296 data: 0.0059 max mem: 31630 Epoch: [17] [1020/5278] eta: 3:25:47 lr: 3.0155722681100308e-05 loss: 0.0731 (0.0808) loss_seg: 0.0715 (0.0800) loss_lansim: 0.0681 (0.0666) loss_contra: 0.0007 (0.0063) time: 2.9178 data: 0.0059 max mem: 31630 Epoch: [17] [1030/5278] eta: 3:25:18 lr: 3.0153468000802406e-05 loss: 0.0707 (0.0806) loss_seg: 0.0701 (0.0799) loss_lansim: 0.0670 (0.0664) loss_contra: 0.0007 (0.0064) time: 2.9174 data: 0.0060 max mem: 31630 Epoch: [17] [1040/5278] eta: 3:24:49 lr: 3.0151213301772085e-05 loss: 0.0714 (0.0807) loss_seg: 0.0708 (0.0800) loss_lansim: 0.0645 (0.0662) loss_contra: 0.0009 (0.0064) time: 2.9148 data: 0.0060 max mem: 31630 Epoch: [17] [1050/5278] eta: 3:24:19 lr: 3.0148958584007635e-05 loss: 0.0714 (0.0807) loss_seg: 0.0708 (0.0799) loss_lansim: 0.0598 (0.0661) loss_contra: 0.0009 (0.0065) time: 2.9078 data: 0.0060 max mem: 31630 Epoch: [17] [1060/5278] eta: 3:23:49 lr: 3.0146703847507352e-05 loss: 0.0707 (0.0806) loss_seg: 0.0702 (0.0799) loss_lansim: 0.0578 (0.0660) loss_contra: 0.0010 (0.0066) time: 2.9052 data: 0.0059 max mem: 31630 Epoch: [17] [1070/5278] eta: 3:23:20 lr: 3.014444909226951e-05 loss: 0.0703 (0.0806) loss_seg: 0.0695 (0.0799) loss_lansim: 0.0564 (0.0658) loss_contra: 0.0010 (0.0066) time: 2.9010 data: 0.0059 max mem: 31630 Epoch: [17] [1080/5278] eta: 3:22:51 lr: 3.0142194318292404e-05 loss: 0.0695 (0.0806) loss_seg: 0.0686 (0.0798) loss_lansim: 0.0560 (0.0657) loss_contra: 0.0010 (0.0065) time: 2.8927 data: 0.0059 max mem: 31630 Epoch: [17] [1090/5278] eta: 3:22:21 lr: 3.0139939525574327e-05 loss: 0.0692 (0.0805) loss_seg: 0.0685 (0.0798) loss_lansim: 0.0543 (0.0656) loss_contra: 0.0012 (0.0065) time: 2.8878 data: 0.0059 max mem: 31630 Epoch: [17] [1100/5278] eta: 3:21:52 lr: 3.0137684714113546e-05 loss: 0.0669 (0.0804) loss_seg: 0.0662 (0.0797) loss_lansim: 0.0522 (0.0655) loss_contra: 0.0012 (0.0065) time: 2.8907 data: 0.0059 max mem: 31630 Epoch: [17] [1110/5278] eta: 3:21:23 lr: 3.0135429883908373e-05 loss: 0.0669 (0.0805) loss_seg: 0.0662 (0.0798) loss_lansim: 0.0522 (0.0654) loss_contra: 0.0010 (0.0064) time: 2.8896 data: 0.0061 max mem: 31630 Epoch: [17] [1120/5278] eta: 3:20:54 lr: 3.0133175034957066e-05 loss: 0.0669 (0.0804) loss_seg: 0.0662 (0.0796) loss_lansim: 0.0519 (0.0653) loss_contra: 0.0010 (0.0065) time: 2.8914 data: 0.0061 max mem: 31630 Epoch: [17] [1130/5278] eta: 3:20:28 lr: 3.0130920167257932e-05 loss: 0.0692 (0.0804) loss_seg: 0.0685 (0.0797) loss_lansim: 0.0528 (0.0652) loss_contra: 0.0010 (0.0065) time: 2.8993 data: 0.0062 max mem: 31630 Epoch: [17] [1140/5278] eta: 3:20:03 lr: 3.012866528080925e-05 loss: 0.0687 (0.0804) loss_seg: 0.0682 (0.0797) loss_lansim: 0.0528 (0.0651) loss_contra: 0.0010 (0.0065) time: 2.9094 data: 0.0062 max mem: 31630 Epoch: [17] [1150/5278] eta: 3:19:36 lr: 3.0126410375609294e-05 loss: 0.0692 (0.0803) loss_seg: 0.0685 (0.0796) loss_lansim: 0.0528 (0.0650) loss_contra: 0.0009 (0.0064) time: 2.9206 data: 0.0063 max mem: 31630 Epoch: [17] [1160/5278] eta: 3:19:08 lr: 3.0124155451656367e-05 loss: 0.0693 (0.0803) loss_seg: 0.0687 (0.0796) loss_lansim: 0.0534 (0.0650) loss_contra: 0.0009 (0.0064) time: 2.9257 data: 0.0063 max mem: 31630 Epoch: [17] [1170/5278] eta: 3:18:42 lr: 3.0121900508948742e-05 loss: 0.0713 (0.0805) loss_seg: 0.0707 (0.0798) loss_lansim: 0.0536 (0.0649) loss_contra: 0.0009 (0.0064) time: 2.9335 data: 0.0063 max mem: 31630 Epoch: [17] [1180/5278] eta: 3:18:16 lr: 3.0119645547484704e-05 loss: 0.0713 (0.0805) loss_seg: 0.0707 (0.0798) loss_lansim: 0.0528 (0.0648) loss_contra: 0.0009 (0.0063) time: 2.9428 data: 0.0063 max mem: 31630 Epoch: [17] [1190/5278] eta: 3:17:49 lr: 3.0117390567262542e-05 loss: 0.0734 (0.0808) loss_seg: 0.0727 (0.0801) loss_lansim: 0.0527 (0.0647) loss_contra: 0.0008 (0.0064) time: 2.9530 data: 0.0064 max mem: 31630 Epoch: [17] [1200/5278] eta: 3:17:23 lr: 3.0115135568280528e-05 loss: 0.0736 (0.0809) loss_seg: 0.0729 (0.0802) loss_lansim: 0.0536 (0.0646) loss_contra: 0.0008 (0.0063) time: 2.9603 data: 0.0065 max mem: 31630 Epoch: [17] [1210/5278] eta: 3:16:56 lr: 3.0112880550536958e-05 loss: 0.0738 (0.0809) loss_seg: 0.0731 (0.0802) loss_lansim: 0.0522 (0.0645) loss_contra: 0.0008 (0.0064) time: 2.9674 data: 0.0064 max mem: 31630 Epoch: [17] [1220/5278] eta: 3:16:28 lr: 3.011062551403011e-05 loss: 0.0771 (0.0810) loss_seg: 0.0766 (0.0803) loss_lansim: 0.0525 (0.0644) loss_contra: 0.0008 (0.0064) time: 2.9723 data: 0.0063 max mem: 31630 Epoch: [17] [1230/5278] eta: 3:16:00 lr: 3.0108370458758254e-05 loss: 0.0770 (0.0810) loss_seg: 0.0762 (0.0803) loss_lansim: 0.0534 (0.0644) loss_contra: 0.0009 (0.0064) time: 2.9659 data: 0.0062 max mem: 31630 Epoch: [17] [1240/5278] eta: 3:15:33 lr: 3.0106115384719702e-05 loss: 0.0770 (0.0810) loss_seg: 0.0762 (0.0802) loss_lansim: 0.0543 (0.0644) loss_contra: 0.0009 (0.0064) time: 2.9632 data: 0.0063 max mem: 31630 Epoch: [17] [1250/5278] eta: 3:15:07 lr: 3.0103860291912706e-05 loss: 0.0772 (0.0812) loss_seg: 0.0768 (0.0805) loss_lansim: 0.0546 (0.0643) loss_contra: 0.0012 (0.0066) time: 2.9643 data: 0.0063 max mem: 31630 Epoch: [17] [1260/5278] eta: 3:14:37 lr: 3.010160518033556e-05 loss: 0.0785 (0.0812) loss_seg: 0.0778 (0.0805) loss_lansim: 0.0543 (0.0642) loss_contra: 0.0013 (0.0066) time: 2.9606 data: 0.0063 max mem: 31630 Epoch: [17] [1270/5278] eta: 3:14:09 lr: 3.0099350049986553e-05 loss: 0.0782 (0.0812) loss_seg: 0.0776 (0.0805) loss_lansim: 0.0546 (0.0642) loss_contra: 0.0012 (0.0067) time: 2.9555 data: 0.0063 max mem: 31630 Epoch: [17] [1280/5278] eta: 3:13:40 lr: 3.0097094900863955e-05 loss: 0.0806 (0.0814) loss_seg: 0.0798 (0.0807) loss_lansim: 0.0556 (0.0641) loss_contra: 0.0014 (0.0067) time: 2.9508 data: 0.0063 max mem: 31630 Epoch: [17] [1290/5278] eta: 3:13:12 lr: 3.009483973296604e-05 loss: 0.0782 (0.0814) loss_seg: 0.0776 (0.0807) loss_lansim: 0.0556 (0.0640) loss_contra: 0.0012 (0.0066) time: 2.9447 data: 0.0062 max mem: 31630 Epoch: [17] [1300/5278] eta: 3:12:44 lr: 3.0092584546291114e-05 loss: 0.0785 (0.0815) loss_seg: 0.0778 (0.0808) loss_lansim: 0.0551 (0.0639) loss_contra: 0.0014 (0.0066) time: 2.9403 data: 0.0062 max mem: 31630 Epoch: [17] [1310/5278] eta: 3:12:16 lr: 3.009032934083742e-05 loss: 0.0795 (0.0816) loss_seg: 0.0789 (0.0809) loss_lansim: 0.0543 (0.0638) loss_contra: 0.0016 (0.0067) time: 2.9370 data: 0.0062 max mem: 31630 Epoch: [17] [1320/5278] eta: 3:11:47 lr: 3.0088074116603277e-05 loss: 0.0782 (0.0816) loss_seg: 0.0776 (0.0809) loss_lansim: 0.0530 (0.0636) loss_contra: 0.0014 (0.0067) time: 2.9360 data: 0.0062 max mem: 31630 Epoch: [17] [1330/5278] eta: 3:11:21 lr: 3.008581887358694e-05 loss: 0.0795 (0.0815) loss_seg: 0.0789 (0.0808) loss_lansim: 0.0503 (0.0634) loss_contra: 0.0016 (0.0067) time: 2.9445 data: 0.0062 max mem: 31630 Epoch: [17] [1340/5278] eta: 3:10:54 lr: 3.008356361178669e-05 loss: 0.0822 (0.0816) loss_seg: 0.0819 (0.0809) loss_lansim: 0.0471 (0.0632) loss_contra: 0.0015 (0.0067) time: 2.9441 data: 0.0061 max mem: 31630 Epoch: [17] [1350/5278] eta: 3:10:24 lr: 3.008130833120082e-05 loss: 0.0795 (0.0815) loss_seg: 0.0789 (0.0808) loss_lansim: 0.0459 (0.0630) loss_contra: 0.0014 (0.0067) time: 2.9334 data: 0.0061 max mem: 31630 Epoch: [17] [1360/5278] eta: 3:09:55 lr: 3.0079053031827588e-05 loss: 0.0745 (0.0815) loss_seg: 0.0734 (0.0808) loss_lansim: 0.0443 (0.0628) loss_contra: 0.0014 (0.0068) time: 2.9363 data: 0.0061 max mem: 31630 Epoch: [17] [1370/5278] eta: 3:09:26 lr: 3.007679771366529e-05 loss: 0.0740 (0.0815) loss_seg: 0.0734 (0.0808) loss_lansim: 0.0408 (0.0626) loss_contra: 0.0016 (0.0070) time: 2.9329 data: 0.0061 max mem: 31630 Epoch: [17] [1380/5278] eta: 3:08:56 lr: 3.0074542376712194e-05 loss: 0.0740 (0.0815) loss_seg: 0.0734 (0.0808) loss_lansim: 0.0397 (0.0625) loss_contra: 0.0018 (0.0071) time: 2.9307 data: 0.0061 max mem: 31630 Epoch: [17] [1390/5278] eta: 3:08:28 lr: 3.0072287020966584e-05 loss: 0.0760 (0.0817) loss_seg: 0.0756 (0.0810) loss_lansim: 0.0394 (0.0623) loss_contra: 0.0025 (0.0072) time: 2.9310 data: 0.0061 max mem: 31630 Epoch: [17] [1400/5278] eta: 3:07:58 lr: 3.007003164642674e-05 loss: 0.0754 (0.0816) loss_seg: 0.0749 (0.0809) loss_lansim: 0.0385 (0.0622) loss_contra: 0.0024 (0.0071) time: 2.9268 data: 0.0061 max mem: 31630 Epoch: [17] [1410/5278] eta: 3:07:31 lr: 3.0067776253090922e-05 loss: 0.0754 (0.0816) loss_seg: 0.0749 (0.0809) loss_lansim: 0.0384 (0.0620) loss_contra: 0.0023 (0.0071) time: 2.9281 data: 0.0061 max mem: 31630 Epoch: [17] [1420/5278] eta: 3:07:03 lr: 3.0065520840957424e-05 loss: 0.0760 (0.0818) loss_seg: 0.0756 (0.0811) loss_lansim: 0.0394 (0.0619) loss_contra: 0.0023 (0.0072) time: 2.9335 data: 0.0061 max mem: 31630 Epoch: [17] [1430/5278] eta: 3:06:35 lr: 3.0063265410024514e-05 loss: 0.0807 (0.0819) loss_seg: 0.0802 (0.0813) loss_lansim: 0.0395 (0.0617) loss_contra: 0.0022 (0.0072) time: 2.9278 data: 0.0061 max mem: 31630 Epoch: [17] [1440/5278] eta: 3:06:08 lr: 3.0061009960290465e-05 loss: 0.0804 (0.0821) loss_seg: 0.0801 (0.0814) loss_lansim: 0.0395 (0.0616) loss_contra: 0.0023 (0.0072) time: 2.9279 data: 0.0061 max mem: 31630 Epoch: [17] [1450/5278] eta: 3:05:41 lr: 3.005875449175357e-05 loss: 0.0830 (0.0822) loss_seg: 0.0824 (0.0815) loss_lansim: 0.0405 (0.0615) loss_contra: 0.0023 (0.0072) time: 2.9375 data: 0.0061 max mem: 31630 Epoch: [17] [1460/5278] eta: 3:05:14 lr: 3.0056499004412093e-05 loss: 0.0833 (0.0824) loss_seg: 0.0827 (0.0817) loss_lansim: 0.0410 (0.0614) loss_contra: 0.0022 (0.0072) time: 2.9445 data: 0.0063 max mem: 31630 Epoch: [17] [1470/5278] eta: 3:04:46 lr: 3.00542434982643e-05 loss: 0.0852 (0.0825) loss_seg: 0.0848 (0.0818) loss_lansim: 0.0415 (0.0613) loss_contra: 0.0021 (0.0072) time: 2.9499 data: 0.0063 max mem: 31630 Epoch: [17] [1480/5278] eta: 3:04:17 lr: 3.0051987973308488e-05 loss: 0.0893 (0.0826) loss_seg: 0.0887 (0.0819) loss_lansim: 0.0417 (0.0612) loss_contra: 0.0018 (0.0073) time: 2.9520 data: 0.0062 max mem: 31630 Epoch: [17] [1490/5278] eta: 3:03:48 lr: 3.004973242954291e-05 loss: 0.0852 (0.0825) loss_seg: 0.0848 (0.0819) loss_lansim: 0.0419 (0.0611) loss_contra: 0.0015 (0.0072) time: 2.9516 data: 0.0062 max mem: 31630 Epoch: [17] [1500/5278] eta: 3:03:18 lr: 3.0047476866965853e-05 loss: 0.0848 (0.0825) loss_seg: 0.0843 (0.0818) loss_lansim: 0.0421 (0.0609) loss_contra: 0.0015 (0.0072) time: 2.9494 data: 0.0063 max mem: 31630 Epoch: [17] [1510/5278] eta: 3:02:49 lr: 3.0045221285575592e-05 loss: 0.0848 (0.0825) loss_seg: 0.0843 (0.0819) loss_lansim: 0.0418 (0.0608) loss_contra: 0.0015 (0.0073) time: 2.9449 data: 0.0063 max mem: 31630 Epoch: [17] [1520/5278] eta: 3:02:20 lr: 3.0042965685370385e-05 loss: 0.0848 (0.0826) loss_seg: 0.0843 (0.0819) loss_lansim: 0.0419 (0.0607) loss_contra: 0.0012 (0.0072) time: 2.9394 data: 0.0063 max mem: 31630 Epoch: [17] [1530/5278] eta: 3:01:51 lr: 3.0040710066348527e-05 loss: 0.0827 (0.0826) loss_seg: 0.0822 (0.0819) loss_lansim: 0.0426 (0.0606) loss_contra: 0.0010 (0.0074) time: 2.9357 data: 0.0062 max mem: 31630 Epoch: [17] [1540/5278] eta: 3:01:21 lr: 3.0038454428508274e-05 loss: 0.0826 (0.0826) loss_seg: 0.0817 (0.0820) loss_lansim: 0.0426 (0.0605) loss_contra: 0.0010 (0.0073) time: 2.9261 data: 0.0062 max mem: 31630 Epoch: [17] [1550/5278] eta: 3:00:53 lr: 3.0036198771847907e-05 loss: 0.0786 (0.0826) loss_seg: 0.0781 (0.0819) loss_lansim: 0.0419 (0.0604) loss_contra: 0.0010 (0.0074) time: 2.9247 data: 0.0063 max mem: 31630 Epoch: [17] [1560/5278] eta: 3:00:25 lr: 3.0033943096365703e-05 loss: 0.0785 (0.0826) loss_seg: 0.0780 (0.0819) loss_lansim: 0.0418 (0.0603) loss_contra: 0.0011 (0.0074) time: 2.9215 data: 0.0061 max mem: 31630 Epoch: [17] [1570/5278] eta: 2:59:56 lr: 3.0031687402059927e-05 loss: 0.0741 (0.0827) loss_seg: 0.0732 (0.0820) loss_lansim: 0.0413 (0.0602) loss_contra: 0.0012 (0.0075) time: 2.9159 data: 0.0061 max mem: 31630 Epoch: [17] [1580/5278] eta: 2:59:27 lr: 3.002943168892885e-05 loss: 0.0733 (0.0826) loss_seg: 0.0728 (0.0820) loss_lansim: 0.0411 (0.0600) loss_contra: 0.0012 (0.0075) time: 2.9183 data: 0.0061 max mem: 31630 Epoch: [17] [1590/5278] eta: 2:58:59 lr: 3.002717595697075e-05 loss: 0.0717 (0.0826) loss_seg: 0.0713 (0.0819) loss_lansim: 0.0407 (0.0599) loss_contra: 0.0013 (0.0074) time: 2.9236 data: 0.0062 max mem: 31630 Epoch: [17] [1600/5278] eta: 2:58:31 lr: 3.002492020618389e-05 loss: 0.0714 (0.0826) loss_seg: 0.0708 (0.0819) loss_lansim: 0.0404 (0.0597) loss_contra: 0.0014 (0.0074) time: 2.9298 data: 0.0060 max mem: 31630 Epoch: [17] [1610/5278] eta: 2:58:02 lr: 3.0022664436566545e-05 loss: 0.0710 (0.0826) loss_seg: 0.0707 (0.0819) loss_lansim: 0.0404 (0.0596) loss_contra: 0.0014 (0.0074) time: 2.9305 data: 0.0060 max mem: 31630 Epoch: [17] [1620/5278] eta: 2:57:34 lr: 3.0020408648116987e-05 loss: 0.0705 (0.0826) loss_seg: 0.0700 (0.0819) loss_lansim: 0.0399 (0.0595) loss_contra: 0.0012 (0.0074) time: 2.9325 data: 0.0060 max mem: 31630 Epoch: [17] [1630/5278] eta: 2:57:05 lr: 3.001815284083349e-05 loss: 0.0734 (0.0826) loss_seg: 0.0729 (0.0820) loss_lansim: 0.0393 (0.0594) loss_contra: 0.0014 (0.0074) time: 2.9334 data: 0.0061 max mem: 31630 Epoch: [17] [1640/5278] eta: 2:56:37 lr: 3.001589701471432e-05 loss: 0.0742 (0.0827) loss_seg: 0.0733 (0.0820) loss_lansim: 0.0391 (0.0593) loss_contra: 0.0013 (0.0073) time: 2.9421 data: 0.0062 max mem: 31630 Epoch: [17] [1650/5278] eta: 2:56:09 lr: 3.0013641169757738e-05 loss: 0.0747 (0.0827) loss_seg: 0.0743 (0.0820) loss_lansim: 0.0389 (0.0592) loss_contra: 0.0011 (0.0073) time: 2.9428 data: 0.0061 max mem: 31630 Epoch: [17] [1660/5278] eta: 2:55:41 lr: 3.0011385305962037e-05 loss: 0.0758 (0.0829) loss_seg: 0.0752 (0.0822) loss_lansim: 0.0384 (0.0591) loss_contra: 0.0009 (0.0073) time: 2.9436 data: 0.0062 max mem: 31630 Epoch: [17] [1670/5278] eta: 2:55:12 lr: 3.000912942332546e-05 loss: 0.0780 (0.0829) loss_seg: 0.0776 (0.0823) loss_lansim: 0.0384 (0.0590) loss_contra: 0.0007 (0.0073) time: 2.9488 data: 0.0062 max mem: 31630 Epoch: [17] [1680/5278] eta: 2:54:47 lr: 3.000687352184629e-05 loss: 0.0780 (0.0829) loss_seg: 0.0776 (0.0822) loss_lansim: 0.0390 (0.0589) loss_contra: 0.0008 (0.0073) time: 2.9610 data: 0.0062 max mem: 31630 Epoch: [17] [1690/5278] eta: 2:54:20 lr: 3.00046176015228e-05 loss: 0.0805 (0.0830) loss_seg: 0.0801 (0.0823) loss_lansim: 0.0403 (0.0588) loss_contra: 0.0008 (0.0073) time: 2.9656 data: 0.0063 max mem: 31630 Epoch: [17] [1700/5278] eta: 2:53:51 lr: 3.0002361662353245e-05 loss: 0.0796 (0.0829) loss_seg: 0.0792 (0.0822) loss_lansim: 0.0409 (0.0587) loss_contra: 0.0007 (0.0073) time: 2.9664 data: 0.0065 max mem: 31630 Epoch: [17] [1710/5278] eta: 2:53:23 lr: 3.0000105704335896e-05 loss: 0.0797 (0.0829) loss_seg: 0.0793 (0.0822) loss_lansim: 0.0409 (0.0586) loss_contra: 0.0008 (0.0073) time: 2.9720 data: 0.0066 max mem: 31630 Epoch: [17] [1720/5278] eta: 2:52:56 lr: 2.9997849727469036e-05 loss: 0.0815 (0.0829) loss_seg: 0.0811 (0.0822) loss_lansim: 0.0408 (0.0585) loss_contra: 0.0008 (0.0072) time: 2.9765 data: 0.0066 max mem: 31630 Epoch: [17] [1730/5278] eta: 2:52:28 lr: 2.9995593731750905e-05 loss: 0.0799 (0.0829) loss_seg: 0.0795 (0.0822) loss_lansim: 0.0406 (0.0583) loss_contra: 0.0008 (0.0072) time: 2.9850 data: 0.0067 max mem: 31630 Epoch: [17] [1740/5278] eta: 2:52:00 lr: 2.99933377171798e-05 loss: 0.0799 (0.0829) loss_seg: 0.0795 (0.0822) loss_lansim: 0.0403 (0.0582) loss_contra: 0.0008 (0.0072) time: 2.9846 data: 0.0067 max mem: 31630 Epoch: [17] [1750/5278] eta: 2:51:32 lr: 2.9991081683753963e-05 loss: 0.0783 (0.0827) loss_seg: 0.0778 (0.0821) loss_lansim: 0.0402 (0.0581) loss_contra: 0.0008 (0.0072) time: 2.9836 data: 0.0067 max mem: 31630 Epoch: [17] [1760/5278] eta: 2:51:02 lr: 2.9988825631471673e-05 loss: 0.0744 (0.0828) loss_seg: 0.0729 (0.0821) loss_lansim: 0.0398 (0.0580) loss_contra: 0.0007 (0.0071) time: 2.9792 data: 0.0067 max mem: 31630 Epoch: [17] [1770/5278] eta: 2:50:33 lr: 2.99865695603312e-05 loss: 0.0717 (0.0829) loss_seg: 0.0713 (0.0822) loss_lansim: 0.0392 (0.0579) loss_contra: 0.0007 (0.0071) time: 2.9735 data: 0.0067 max mem: 31630 Epoch: [17] [1780/5278] eta: 2:50:04 lr: 2.9984313470330798e-05 loss: 0.0743 (0.0831) loss_seg: 0.0739 (0.0825) loss_lansim: 0.0384 (0.0578) loss_contra: 0.0007 (0.0071) time: 2.9570 data: 0.0067 max mem: 31630 Epoch: [17] [1790/5278] eta: 2:49:35 lr: 2.998205736146874e-05 loss: 0.0717 (0.0832) loss_seg: 0.0713 (0.0825) loss_lansim: 0.0378 (0.0577) loss_contra: 0.0007 (0.0071) time: 2.9498 data: 0.0066 max mem: 31630 Epoch: [17] [1800/5278] eta: 2:49:05 lr: 2.99798012337433e-05 loss: 0.0741 (0.0832) loss_seg: 0.0737 (0.0825) loss_lansim: 0.0382 (0.0576) loss_contra: 0.0007 (0.0071) time: 2.9430 data: 0.0065 max mem: 31630 Epoch: [17] [1810/5278] eta: 2:48:36 lr: 2.9977545087152713e-05 loss: 0.0743 (0.0832) loss_seg: 0.0739 (0.0826) loss_lansim: 0.0383 (0.0575) loss_contra: 0.0006 (0.0070) time: 2.9382 data: 0.0065 max mem: 31630 Epoch: [17] [1820/5278] eta: 2:48:07 lr: 2.9975288921695278e-05 loss: 0.0743 (0.0833) loss_seg: 0.0739 (0.0827) loss_lansim: 0.0391 (0.0574) loss_contra: 0.0006 (0.0071) time: 2.9312 data: 0.0065 max mem: 31630 Epoch: [17] [1830/5278] eta: 2:47:37 lr: 2.9973032737369238e-05 loss: 0.0732 (0.0833) loss_seg: 0.0728 (0.0826) loss_lansim: 0.0391 (0.0573) loss_contra: 0.0005 (0.0070) time: 2.9200 data: 0.0065 max mem: 31630 Epoch: [17] [1840/5278] eta: 2:47:07 lr: 2.9970776534172867e-05 loss: 0.0732 (0.0833) loss_seg: 0.0728 (0.0826) loss_lansim: 0.0386 (0.0572) loss_contra: 0.0005 (0.0070) time: 2.9120 data: 0.0064 max mem: 31630 Epoch: [17] [1850/5278] eta: 2:46:38 lr: 2.9968520312104425e-05 loss: 0.0735 (0.0832) loss_seg: 0.0732 (0.0826) loss_lansim: 0.0389 (0.0571) loss_contra: 0.0005 (0.0070) time: 2.9088 data: 0.0064 max mem: 31630 Epoch: [17] [1860/5278] eta: 2:46:09 lr: 2.996626407116217e-05 loss: 0.0735 (0.0831) loss_seg: 0.0732 (0.0825) loss_lansim: 0.0390 (0.0570) loss_contra: 0.0005 (0.0070) time: 2.9070 data: 0.0064 max mem: 31630 Epoch: [17] [1870/5278] eta: 2:45:38 lr: 2.996400781134438e-05 loss: 0.0737 (0.0833) loss_seg: 0.0733 (0.0827) loss_lansim: 0.0390 (0.0569) loss_contra: 0.0005 (0.0069) time: 2.9022 data: 0.0064 max mem: 31630 Epoch: [17] [1880/5278] eta: 2:45:09 lr: 2.9961751532649307e-05 loss: 0.0737 (0.0835) loss_seg: 0.0733 (0.0828) loss_lansim: 0.0394 (0.0568) loss_contra: 0.0004 (0.0069) time: 2.9034 data: 0.0064 max mem: 31630 Epoch: [17] [1890/5278] eta: 2:44:40 lr: 2.9959495235075214e-05 loss: 0.0737 (0.0835) loss_seg: 0.0733 (0.0828) loss_lansim: 0.0396 (0.0568) loss_contra: 0.0004 (0.0069) time: 2.9006 data: 0.0063 max mem: 31630 Epoch: [17] [1900/5278] eta: 2:44:11 lr: 2.9957238918620366e-05 loss: 0.0737 (0.0834) loss_seg: 0.0733 (0.0828) loss_lansim: 0.0396 (0.0567) loss_contra: 0.0004 (0.0069) time: 2.9045 data: 0.0063 max mem: 31630 Epoch: [17] [1910/5278] eta: 2:43:42 lr: 2.9954982583283026e-05 loss: 0.0756 (0.0835) loss_seg: 0.0752 (0.0829) loss_lansim: 0.0389 (0.0566) loss_contra: 0.0004 (0.0068) time: 2.9072 data: 0.0063 max mem: 31630 Epoch: [17] [1920/5278] eta: 2:43:14 lr: 2.9952726229061446e-05 loss: 0.0731 (0.0834) loss_seg: 0.0727 (0.0828) loss_lansim: 0.0386 (0.0565) loss_contra: 0.0004 (0.0068) time: 2.9111 data: 0.0063 max mem: 31630 Epoch: [17] [1930/5278] eta: 2:42:46 lr: 2.9950469855953904e-05 loss: 0.0739 (0.0834) loss_seg: 0.0736 (0.0828) loss_lansim: 0.0378 (0.0564) loss_contra: 0.0004 (0.0068) time: 2.9185 data: 0.0063 max mem: 31630 Epoch: [17] [1940/5278] eta: 2:42:17 lr: 2.9948213463958642e-05 loss: 0.0739 (0.0834) loss_seg: 0.0736 (0.0828) loss_lansim: 0.0382 (0.0563) loss_contra: 0.0004 (0.0068) time: 2.9229 data: 0.0063 max mem: 31630 Epoch: [17] [1950/5278] eta: 2:41:49 lr: 2.9945957053073936e-05 loss: 0.0746 (0.0834) loss_seg: 0.0741 (0.0828) loss_lansim: 0.0382 (0.0562) loss_contra: 0.0003 (0.0067) time: 2.9296 data: 0.0063 max mem: 31630 Epoch: [17] [1960/5278] eta: 2:41:22 lr: 2.9943700623298037e-05 loss: 0.0767 (0.0834) loss_seg: 0.0763 (0.0828) loss_lansim: 0.0380 (0.0561) loss_contra: 0.0004 (0.0067) time: 2.9445 data: 0.0063 max mem: 31630 Epoch: [17] [1970/5278] eta: 2:40:55 lr: 2.9941444174629206e-05 loss: 0.0762 (0.0834) loss_seg: 0.0758 (0.0828) loss_lansim: 0.0382 (0.0560) loss_contra: 0.0003 (0.0067) time: 2.9651 data: 0.0063 max mem: 31630 Epoch: [17] [1980/5278] eta: 2:40:28 lr: 2.993918770706572e-05 loss: 0.0762 (0.0834) loss_seg: 0.0758 (0.0828) loss_lansim: 0.0378 (0.0560) loss_contra: 0.0004 (0.0067) time: 2.9760 data: 0.0063 max mem: 31630 Epoch: [17] [1990/5278] eta: 2:40:00 lr: 2.9936931220605814e-05 loss: 0.0735 (0.0833) loss_seg: 0.0731 (0.0827) loss_lansim: 0.0380 (0.0559) loss_contra: 0.0003 (0.0067) time: 2.9885 data: 0.0064 max mem: 31630 Epoch: [17] [2000/5278] eta: 2:39:33 lr: 2.9934674715247752e-05 loss: 0.0734 (0.0833) loss_seg: 0.0729 (0.0827) loss_lansim: 0.0380 (0.0558) loss_contra: 0.0003 (0.0067) time: 3.0006 data: 0.0064 max mem: 31630 Epoch: [17] [2010/5278] eta: 2:39:07 lr: 2.993241819098981e-05 loss: 0.0734 (0.0833) loss_seg: 0.0727 (0.0827) loss_lansim: 0.0384 (0.0557) loss_contra: 0.0003 (0.0066) time: 3.0138 data: 0.0064 max mem: 31630 Epoch: [17] [2020/5278] eta: 2:38:39 lr: 2.993016164783022e-05 loss: 0.0769 (0.0834) loss_seg: 0.0765 (0.0828) loss_lansim: 0.0391 (0.0556) loss_contra: 0.0003 (0.0066) time: 3.0197 data: 0.0064 max mem: 31630 Epoch: [17] [2030/5278] eta: 2:38:11 lr: 2.9927905085767265e-05 loss: 0.0769 (0.0834) loss_seg: 0.0765 (0.0828) loss_lansim: 0.0389 (0.0556) loss_contra: 0.0003 (0.0066) time: 3.0203 data: 0.0065 max mem: 31630 Epoch: [17] [2040/5278] eta: 2:37:41 lr: 2.9925648504799187e-05 loss: 0.0777 (0.0835) loss_seg: 0.0774 (0.0829) loss_lansim: 0.0389 (0.0555) loss_contra: 0.0003 (0.0066) time: 3.0203 data: 0.0065 max mem: 31630 Epoch: [17] [2050/5278] eta: 2:37:12 lr: 2.9923391904924252e-05 loss: 0.0784 (0.0835) loss_seg: 0.0779 (0.0828) loss_lansim: 0.0389 (0.0554) loss_contra: 0.0005 (0.0066) time: 3.0144 data: 0.0065 max mem: 31630 Epoch: [17] [2060/5278] eta: 2:36:43 lr: 2.9921135286140723e-05 loss: 0.0774 (0.0835) loss_seg: 0.0769 (0.0829) loss_lansim: 0.0389 (0.0553) loss_contra: 0.0006 (0.0066) time: 3.0003 data: 0.0065 max mem: 31630 Epoch: [17] [2070/5278] eta: 2:36:14 lr: 2.9918878648446834e-05 loss: 0.0771 (0.0835) loss_seg: 0.0767 (0.0829) loss_lansim: 0.0385 (0.0552) loss_contra: 0.0006 (0.0066) time: 2.9870 data: 0.0065 max mem: 31630 Epoch: [17] [2080/5278] eta: 2:35:44 lr: 2.9916621991840865e-05 loss: 0.0744 (0.0834) loss_seg: 0.0741 (0.0828) loss_lansim: 0.0387 (0.0552) loss_contra: 0.0006 (0.0066) time: 2.9738 data: 0.0065 max mem: 31630 Epoch: [17] [2090/5278] eta: 2:35:14 lr: 2.9914365316321063e-05 loss: 0.0756 (0.0834) loss_seg: 0.0753 (0.0828) loss_lansim: 0.0385 (0.0551) loss_contra: 0.0006 (0.0066) time: 2.9576 data: 0.0065 max mem: 31630 Epoch: [17] [2100/5278] eta: 2:34:45 lr: 2.991210862188568e-05 loss: 0.0749 (0.0834) loss_seg: 0.0745 (0.0828) loss_lansim: 0.0385 (0.0550) loss_contra: 0.0006 (0.0066) time: 2.9459 data: 0.0065 max mem: 31630 Epoch: [17] [2110/5278] eta: 2:34:15 lr: 2.9909851908532983e-05 loss: 0.0749 (0.0834) loss_seg: 0.0745 (0.0828) loss_lansim: 0.0385 (0.0549) loss_contra: 0.0004 (0.0065) time: 2.9266 data: 0.0065 max mem: 31630 Epoch: [17] [2120/5278] eta: 2:33:46 lr: 2.9907595176261215e-05 loss: 0.0738 (0.0834) loss_seg: 0.0735 (0.0828) loss_lansim: 0.0384 (0.0549) loss_contra: 0.0006 (0.0065) time: 2.9148 data: 0.0065 max mem: 31630 Epoch: [17] [2130/5278] eta: 2:33:17 lr: 2.990533842506864e-05 loss: 0.0756 (0.0835) loss_seg: 0.0753 (0.0828) loss_lansim: 0.0385 (0.0548) loss_contra: 0.0006 (0.0065) time: 2.9100 data: 0.0064 max mem: 31630 Epoch: [17] [2140/5278] eta: 2:32:47 lr: 2.990308165495352e-05 loss: 0.0749 (0.0835) loss_seg: 0.0745 (0.0829) loss_lansim: 0.0384 (0.0547) loss_contra: 0.0006 (0.0065) time: 2.9070 data: 0.0065 max mem: 31630 Epoch: [17] [2150/5278] eta: 2:32:17 lr: 2.990082486591408e-05 loss: 0.0766 (0.0835) loss_seg: 0.0761 (0.0829) loss_lansim: 0.0385 (0.0547) loss_contra: 0.0004 (0.0064) time: 2.9009 data: 0.0066 max mem: 31630 Epoch: [17] [2160/5278] eta: 2:31:48 lr: 2.989856805794861e-05 loss: 0.0780 (0.0836) loss_seg: 0.0775 (0.0829) loss_lansim: 0.0385 (0.0546) loss_contra: 0.0003 (0.0065) time: 2.9025 data: 0.0065 max mem: 31630 Epoch: [17] [2170/5278] eta: 2:31:19 lr: 2.9896311231055342e-05 loss: 0.0775 (0.0835) loss_seg: 0.0771 (0.0828) loss_lansim: 0.0385 (0.0545) loss_contra: 0.0003 (0.0064) time: 2.9029 data: 0.0064 max mem: 31630 Epoch: [17] [2180/5278] eta: 2:30:49 lr: 2.9894054385232532e-05 loss: 0.0804 (0.0835) loss_seg: 0.0801 (0.0829) loss_lansim: 0.0380 (0.0544) loss_contra: 0.0003 (0.0064) time: 2.9008 data: 0.0064 max mem: 31630 Epoch: [17] [2190/5278] eta: 2:30:19 lr: 2.989179752047845e-05 loss: 0.0830 (0.0836) loss_seg: 0.0826 (0.0830) loss_lansim: 0.0380 (0.0543) loss_contra: 0.0002 (0.0064) time: 2.9023 data: 0.0064 max mem: 31630 Epoch: [17] [2200/5278] eta: 2:29:50 lr: 2.9889540636791325e-05 loss: 0.0828 (0.0835) loss_seg: 0.0824 (0.0829) loss_lansim: 0.0379 (0.0543) loss_contra: 0.0003 (0.0064) time: 2.8987 data: 0.0064 max mem: 31630 Epoch: [17] [2210/5278] eta: 2:29:20 lr: 2.988728373416942e-05 loss: 0.0804 (0.0835) loss_seg: 0.0801 (0.0829) loss_lansim: 0.0382 (0.0542) loss_contra: 0.0003 (0.0064) time: 2.8984 data: 0.0063 max mem: 31630 Epoch: [17] [2220/5278] eta: 2:28:51 lr: 2.9885026812610996e-05 loss: 0.0801 (0.0835) loss_seg: 0.0798 (0.0829) loss_lansim: 0.0382 (0.0541) loss_contra: 0.0003 (0.0064) time: 2.8991 data: 0.0063 max mem: 31630 Epoch: [17] [2230/5278] eta: 2:28:22 lr: 2.9882769872114287e-05 loss: 0.0767 (0.0835) loss_seg: 0.0763 (0.0829) loss_lansim: 0.0382 (0.0541) loss_contra: 0.0002 (0.0063) time: 2.9042 data: 0.0064 max mem: 31630 Epoch: [17] [2240/5278] eta: 2:27:54 lr: 2.988051291267756e-05 loss: 0.0761 (0.0835) loss_seg: 0.0757 (0.0829) loss_lansim: 0.0383 (0.0540) loss_contra: 0.0002 (0.0064) time: 2.9136 data: 0.0064 max mem: 31630 Epoch: [17] [2250/5278] eta: 2:27:26 lr: 2.987825593429906e-05 loss: 0.0732 (0.0834) loss_seg: 0.0728 (0.0828) loss_lansim: 0.0382 (0.0540) loss_contra: 0.0003 (0.0063) time: 2.9290 data: 0.0063 max mem: 31630 Epoch: [17] [2260/5278] eta: 2:26:58 lr: 2.987599893697704e-05 loss: 0.0714 (0.0834) loss_seg: 0.0708 (0.0828) loss_lansim: 0.0376 (0.0539) loss_contra: 0.0003 (0.0063) time: 2.9417 data: 0.0066 max mem: 31630 Epoch: [17] [2270/5278] eta: 2:26:31 lr: 2.9873741920709754e-05 loss: 0.0753 (0.0834) loss_seg: 0.0750 (0.0828) loss_lansim: 0.0374 (0.0538) loss_contra: 0.0003 (0.0063) time: 2.9521 data: 0.0067 max mem: 31630 Epoch: [17] [2280/5278] eta: 2:26:03 lr: 2.9871484885495443e-05 loss: 0.0732 (0.0834) loss_seg: 0.0728 (0.0828) loss_lansim: 0.0375 (0.0537) loss_contra: 0.0003 (0.0063) time: 2.9669 data: 0.0069 max mem: 31630 Epoch: [17] [2290/5278] eta: 2:25:35 lr: 2.986922783133237e-05 loss: 0.0699 (0.0834) loss_seg: 0.0695 (0.0828) loss_lansim: 0.0375 (0.0537) loss_contra: 0.0004 (0.0063) time: 2.9811 data: 0.0069 max mem: 31630 Epoch: [17] [2300/5278] eta: 2:25:07 lr: 2.9866970758218776e-05 loss: 0.0725 (0.0834) loss_seg: 0.0722 (0.0828) loss_lansim: 0.0374 (0.0536) loss_contra: 0.0003 (0.0062) time: 2.9950 data: 0.0070 max mem: 31630 Epoch: [17] [2310/5278] eta: 2:24:38 lr: 2.9864713666152905e-05 loss: 0.0752 (0.0834) loss_seg: 0.0746 (0.0828) loss_lansim: 0.0374 (0.0535) loss_contra: 0.0004 (0.0062) time: 3.0021 data: 0.0070 max mem: 31630 Epoch: [17] [2320/5278] eta: 2:24:10 lr: 2.9862456555133024e-05 loss: 0.0738 (0.0834) loss_seg: 0.0734 (0.0828) loss_lansim: 0.0374 (0.0535) loss_contra: 0.0007 (0.0063) time: 3.0074 data: 0.0070 max mem: 31630 Epoch: [17] [2330/5278] eta: 2:23:41 lr: 2.986019942515737e-05 loss: 0.0727 (0.0833) loss_seg: 0.0724 (0.0827) loss_lansim: 0.0365 (0.0534) loss_contra: 0.0007 (0.0062) time: 3.0099 data: 0.0069 max mem: 31630 Epoch: [17] [2340/5278] eta: 2:23:12 lr: 2.985794227622419e-05 loss: 0.0738 (0.0834) loss_seg: 0.0734 (0.0828) loss_lansim: 0.0364 (0.0533) loss_contra: 0.0008 (0.0062) time: 3.0063 data: 0.0069 max mem: 31630 Epoch: [17] [2350/5278] eta: 2:22:44 lr: 2.9855685108331745e-05 loss: 0.0754 (0.0835) loss_seg: 0.0749 (0.0829) loss_lansim: 0.0362 (0.0533) loss_contra: 0.0007 (0.0062) time: 3.0013 data: 0.0069 max mem: 31630 Epoch: [17] [2360/5278] eta: 2:22:15 lr: 2.985342792147826e-05 loss: 0.0753 (0.0835) loss_seg: 0.0749 (0.0829) loss_lansim: 0.0364 (0.0532) loss_contra: 0.0010 (0.0062) time: 2.9922 data: 0.0067 max mem: 31630 Epoch: [17] [2370/5278] eta: 2:21:46 lr: 2.9851170715662007e-05 loss: 0.0727 (0.0834) loss_seg: 0.0724 (0.0828) loss_lansim: 0.0377 (0.0532) loss_contra: 0.0010 (0.0062) time: 2.9869 data: 0.0066 max mem: 31630 Epoch: [17] [2380/5278] eta: 2:21:17 lr: 2.984891349088122e-05 loss: 0.0752 (0.0835) loss_seg: 0.0746 (0.0829) loss_lansim: 0.0376 (0.0531) loss_contra: 0.0008 (0.0062) time: 2.9775 data: 0.0065 max mem: 31630 Epoch: [17] [2390/5278] eta: 2:20:47 lr: 2.9846656247134154e-05 loss: 0.0754 (0.0836) loss_seg: 0.0749 (0.0830) loss_lansim: 0.0376 (0.0530) loss_contra: 0.0008 (0.0062) time: 2.9617 data: 0.0064 max mem: 31630 Epoch: [17] [2400/5278] eta: 2:20:17 lr: 2.984439898441905e-05 loss: 0.0761 (0.0837) loss_seg: 0.0757 (0.0831) loss_lansim: 0.0377 (0.0530) loss_contra: 0.0010 (0.0062) time: 2.9408 data: 0.0063 max mem: 31630 Epoch: [17] [2410/5278] eta: 2:19:45 lr: 2.9842141702734155e-05 loss: 0.0779 (0.0837) loss_seg: 0.0775 (0.0831) loss_lansim: 0.0378 (0.0529) loss_contra: 0.0008 (0.0062) time: 2.9202 data: 0.0062 max mem: 31630 Epoch: [17] [2420/5278] eta: 2:19:14 lr: 2.9839884402077716e-05 loss: 0.0789 (0.0837) loss_seg: 0.0784 (0.0831) loss_lansim: 0.0377 (0.0529) loss_contra: 0.0007 (0.0062) time: 2.9012 data: 0.0062 max mem: 31630 Epoch: [17] [2430/5278] eta: 2:18:43 lr: 2.9837627082447982e-05 loss: 0.0842 (0.0838) loss_seg: 0.0836 (0.0832) loss_lansim: 0.0379 (0.0528) loss_contra: 0.0008 (0.0061) time: 2.8797 data: 0.0062 max mem: 31630 Epoch: [17] [2440/5278] eta: 2:18:13 lr: 2.983536974384319e-05 loss: 0.0805 (0.0837) loss_seg: 0.0801 (0.0831) loss_lansim: 0.0385 (0.0527) loss_contra: 0.0008 (0.0063) time: 2.8632 data: 0.0063 max mem: 31630 Epoch: [17] [2450/5278] eta: 2:17:42 lr: 2.9833112386261603e-05 loss: 0.0794 (0.0837) loss_seg: 0.0791 (0.0831) loss_lansim: 0.0385 (0.0527) loss_contra: 0.0008 (0.0062) time: 2.8485 data: 0.0062 max mem: 31630 Epoch: [17] [2460/5278] eta: 2:17:12 lr: 2.983085500970144e-05 loss: 0.0812 (0.0838) loss_seg: 0.0801 (0.0832) loss_lansim: 0.0385 (0.0526) loss_contra: 0.0009 (0.0063) time: 2.8305 data: 0.0061 max mem: 31630 Epoch: [17] [2470/5278] eta: 2:16:41 lr: 2.982859761416097e-05 loss: 0.0812 (0.0837) loss_seg: 0.0801 (0.0831) loss_lansim: 0.0384 (0.0526) loss_contra: 0.0009 (0.0063) time: 2.8116 data: 0.0061 max mem: 31630 Epoch: [17] [2480/5278] eta: 2:16:11 lr: 2.9826340199638424e-05 loss: 0.0794 (0.0837) loss_seg: 0.0791 (0.0831) loss_lansim: 0.0388 (0.0525) loss_contra: 0.0012 (0.0063) time: 2.8011 data: 0.0060 max mem: 31630 Epoch: [17] [2490/5278] eta: 2:15:40 lr: 2.982408276613205e-05 loss: 0.0777 (0.0837) loss_seg: 0.0774 (0.0831) loss_lansim: 0.0388 (0.0525) loss_contra: 0.0015 (0.0063) time: 2.7942 data: 0.0060 max mem: 31630 Epoch: [17] [2500/5278] eta: 2:15:09 lr: 2.982182531364009e-05 loss: 0.0776 (0.0837) loss_seg: 0.0770 (0.0831) loss_lansim: 0.0388 (0.0524) loss_contra: 0.0014 (0.0064) time: 2.7901 data: 0.0061 max mem: 31630 Epoch: [17] [2510/5278] eta: 2:14:39 lr: 2.9819567842160788e-05 loss: 0.0758 (0.0836) loss_seg: 0.0753 (0.0831) loss_lansim: 0.0393 (0.0524) loss_contra: 0.0015 (0.0063) time: 2.7943 data: 0.0061 max mem: 31630 Epoch: [17] [2520/5278] eta: 2:14:08 lr: 2.9817310351692383e-05 loss: 0.0758 (0.0836) loss_seg: 0.0753 (0.0830) loss_lansim: 0.0393 (0.0523) loss_contra: 0.0017 (0.0063) time: 2.7979 data: 0.0061 max mem: 31630 Epoch: [17] [2530/5278] eta: 2:13:38 lr: 2.981505284223313e-05 loss: 0.0758 (0.0836) loss_seg: 0.0753 (0.0830) loss_lansim: 0.0388 (0.0523) loss_contra: 0.0017 (0.0063) time: 2.8000 data: 0.0060 max mem: 31630 Epoch: [17] [2540/5278] eta: 2:13:07 lr: 2.9812795313781268e-05 loss: 0.0776 (0.0836) loss_seg: 0.0770 (0.0830) loss_lansim: 0.0393 (0.0522) loss_contra: 0.0017 (0.0063) time: 2.8008 data: 0.0060 max mem: 31630 Epoch: [17] [2550/5278] eta: 2:12:37 lr: 2.9810537766335024e-05 loss: 0.0770 (0.0836) loss_seg: 0.0766 (0.0830) loss_lansim: 0.0393 (0.0522) loss_contra: 0.0012 (0.0063) time: 2.7958 data: 0.0060 max mem: 31630 Epoch: [17] [2560/5278] eta: 2:12:07 lr: 2.9808280199892656e-05 loss: 0.0759 (0.0836) loss_seg: 0.0753 (0.0830) loss_lansim: 0.0396 (0.0522) loss_contra: 0.0006 (0.0063) time: 2.7998 data: 0.0060 max mem: 31630 Epoch: [17] [2570/5278] eta: 2:11:36 lr: 2.9806022614452407e-05 loss: 0.0770 (0.0837) loss_seg: 0.0766 (0.0831) loss_lansim: 0.0394 (0.0521) loss_contra: 0.0005 (0.0062) time: 2.7982 data: 0.0060 max mem: 31630 Epoch: [17] [2580/5278] eta: 2:11:06 lr: 2.98037650100125e-05 loss: 0.0773 (0.0837) loss_seg: 0.0768 (0.0831) loss_lansim: 0.0386 (0.0520) loss_contra: 0.0005 (0.0062) time: 2.7966 data: 0.0060 max mem: 31630 Epoch: [17] [2590/5278] eta: 2:10:35 lr: 2.9801507386571192e-05 loss: 0.0796 (0.0838) loss_seg: 0.0792 (0.0832) loss_lansim: 0.0385 (0.0520) loss_contra: 0.0005 (0.0062) time: 2.7979 data: 0.0060 max mem: 31630 Epoch: [17] [2600/5278] eta: 2:10:04 lr: 2.9799249744126723e-05 loss: 0.0799 (0.0838) loss_seg: 0.0794 (0.0832) loss_lansim: 0.0386 (0.0520) loss_contra: 0.0004 (0.0062) time: 2.7933 data: 0.0060 max mem: 31630 Epoch: [17] [2610/5278] eta: 2:09:34 lr: 2.9796992082677332e-05 loss: 0.0811 (0.0838) loss_seg: 0.0807 (0.0832) loss_lansim: 0.0383 (0.0519) loss_contra: 0.0004 (0.0062) time: 2.7952 data: 0.0060 max mem: 31630 Epoch: [17] [2620/5278] eta: 2:09:04 lr: 2.9794734402221253e-05 loss: 0.0812 (0.0838) loss_seg: 0.0808 (0.0832) loss_lansim: 0.0385 (0.0519) loss_contra: 0.0005 (0.0062) time: 2.7942 data: 0.0060 max mem: 31630 Epoch: [17] [2630/5278] eta: 2:08:33 lr: 2.979247670275673e-05 loss: 0.0811 (0.0838) loss_seg: 0.0807 (0.0832) loss_lansim: 0.0387 (0.0518) loss_contra: 0.0006 (0.0062) time: 2.7910 data: 0.0060 max mem: 31630 Epoch: [17] [2640/5278] eta: 2:08:03 lr: 2.9790218984282003e-05 loss: 0.0799 (0.0838) loss_seg: 0.0794 (0.0832) loss_lansim: 0.0386 (0.0518) loss_contra: 0.0006 (0.0063) time: 2.7930 data: 0.0060 max mem: 31630 Epoch: [17] [2650/5278] eta: 2:07:33 lr: 2.9787961246795304e-05 loss: 0.0799 (0.0838) loss_seg: 0.0794 (0.0832) loss_lansim: 0.0387 (0.0518) loss_contra: 0.0007 (0.0063) time: 2.7942 data: 0.0060 max mem: 31630 Epoch: [17] [2660/5278] eta: 2:07:03 lr: 2.9785703490294888e-05 loss: 0.0815 (0.0838) loss_seg: 0.0811 (0.0832) loss_lansim: 0.0392 (0.0517) loss_contra: 0.0009 (0.0063) time: 2.7905 data: 0.0060 max mem: 31630 Epoch: [17] [2670/5278] eta: 2:06:32 lr: 2.9783445714778974e-05 loss: 0.0822 (0.0838) loss_seg: 0.0817 (0.0833) loss_lansim: 0.0396 (0.0517) loss_contra: 0.0011 (0.0063) time: 2.7947 data: 0.0060 max mem: 31630 Epoch: [17] [2680/5278] eta: 2:06:02 lr: 2.9781187920245813e-05 loss: 0.0828 (0.0839) loss_seg: 0.0824 (0.0833) loss_lansim: 0.0397 (0.0517) loss_contra: 0.0009 (0.0063) time: 2.7901 data: 0.0060 max mem: 31630 Epoch: [17] [2690/5278] eta: 2:05:32 lr: 2.977893010669364e-05 loss: 0.0815 (0.0838) loss_seg: 0.0811 (0.0833) loss_lansim: 0.0398 (0.0516) loss_contra: 0.0007 (0.0063) time: 2.7892 data: 0.0060 max mem: 31630 Epoch: [17] [2700/5278] eta: 2:05:02 lr: 2.977667227412069e-05 loss: 0.0807 (0.0838) loss_seg: 0.0802 (0.0833) loss_lansim: 0.0398 (0.0516) loss_contra: 0.0010 (0.0063) time: 2.7951 data: 0.0060 max mem: 31630 Epoch: [17] [2710/5278] eta: 2:04:32 lr: 2.9774414422525204e-05 loss: 0.0799 (0.0839) loss_seg: 0.0794 (0.0833) loss_lansim: 0.0399 (0.0515) loss_contra: 0.0011 (0.0064) time: 2.7950 data: 0.0060 max mem: 31630 Epoch: [17] [2720/5278] eta: 2:04:02 lr: 2.9772156551905424e-05 loss: 0.0807 (0.0839) loss_seg: 0.0802 (0.0833) loss_lansim: 0.0404 (0.0515) loss_contra: 0.0011 (0.0064) time: 2.8025 data: 0.0060 max mem: 31630 Epoch: [17] [2730/5278] eta: 2:03:32 lr: 2.9769898662259566e-05 loss: 0.0807 (0.0839) loss_seg: 0.0802 (0.0833) loss_lansim: 0.0404 (0.0514) loss_contra: 0.0011 (0.0063) time: 2.8083 data: 0.0060 max mem: 31630 Epoch: [17] [2740/5278] eta: 2:03:02 lr: 2.976764075358589e-05 loss: 0.0837 (0.0839) loss_seg: 0.0824 (0.0833) loss_lansim: 0.0403 (0.0514) loss_contra: 0.0010 (0.0064) time: 2.8091 data: 0.0060 max mem: 31630 Epoch: [17] [2750/5278] eta: 2:02:33 lr: 2.9765382825882615e-05 loss: 0.0837 (0.0839) loss_seg: 0.0824 (0.0834) loss_lansim: 0.0404 (0.0514) loss_contra: 0.0010 (0.0064) time: 2.8174 data: 0.0060 max mem: 31630 Epoch: [17] [2760/5278] eta: 2:02:03 lr: 2.976312487914799e-05 loss: 0.0824 (0.0840) loss_seg: 0.0819 (0.0834) loss_lansim: 0.0406 (0.0513) loss_contra: 0.0010 (0.0064) time: 2.8233 data: 0.0060 max mem: 31630 Epoch: [17] [2770/5278] eta: 2:01:33 lr: 2.976086691338024e-05 loss: 0.0821 (0.0841) loss_seg: 0.0816 (0.0835) loss_lansim: 0.0402 (0.0513) loss_contra: 0.0009 (0.0063) time: 2.8248 data: 0.0060 max mem: 31630 Epoch: [17] [2780/5278] eta: 2:01:04 lr: 2.9758608928577607e-05 loss: 0.0810 (0.0841) loss_seg: 0.0806 (0.0835) loss_lansim: 0.0401 (0.0512) loss_contra: 0.0009 (0.0063) time: 2.8327 data: 0.0060 max mem: 31630 Epoch: [17] [2790/5278] eta: 2:00:34 lr: 2.975635092473832e-05 loss: 0.0837 (0.0841) loss_seg: 0.0820 (0.0835) loss_lansim: 0.0401 (0.0512) loss_contra: 0.0009 (0.0063) time: 2.8319 data: 0.0060 max mem: 31630 Epoch: [17] [2800/5278] eta: 2:00:04 lr: 2.975409290186062e-05 loss: 0.0841 (0.0841) loss_seg: 0.0837 (0.0836) loss_lansim: 0.0400 (0.0511) loss_contra: 0.0008 (0.0063) time: 2.8380 data: 0.0060 max mem: 31630 Epoch: [17] [2810/5278] eta: 1:59:34 lr: 2.9751834859942727e-05 loss: 0.0854 (0.0843) loss_seg: 0.0851 (0.0837) loss_lansim: 0.0400 (0.0511) loss_contra: 0.0008 (0.0063) time: 2.8405 data: 0.0060 max mem: 31630 Epoch: [17] [2820/5278] eta: 1:59:05 lr: 2.9749576798982898e-05 loss: 0.0841 (0.0842) loss_seg: 0.0837 (0.0836) loss_lansim: 0.0398 (0.0511) loss_contra: 0.0006 (0.0063) time: 2.8378 data: 0.0060 max mem: 31630 Epoch: [17] [2830/5278] eta: 1:58:35 lr: 2.9747318718979345e-05 loss: 0.0858 (0.0843) loss_seg: 0.0853 (0.0837) loss_lansim: 0.0399 (0.0510) loss_contra: 0.0007 (0.0063) time: 2.8366 data: 0.0060 max mem: 31630 Epoch: [17] [2840/5278] eta: 1:58:05 lr: 2.974506061993031e-05 loss: 0.0868 (0.0845) loss_seg: 0.0865 (0.0840) loss_lansim: 0.0398 (0.0510) loss_contra: 0.0006 (0.0063) time: 2.8372 data: 0.0060 max mem: 31630 Epoch: [17] [2850/5278] eta: 1:57:36 lr: 2.9742802501834032e-05 loss: 0.0868 (0.0845) loss_seg: 0.0865 (0.0839) loss_lansim: 0.0400 (0.0510) loss_contra: 0.0006 (0.0063) time: 2.8396 data: 0.0061 max mem: 31630 Epoch: [17] [2860/5278] eta: 1:57:08 lr: 2.9740544364688726e-05 loss: 0.0869 (0.0846) loss_seg: 0.0865 (0.0840) loss_lansim: 0.0398 (0.0509) loss_contra: 0.0007 (0.0063) time: 2.8515 data: 0.0061 max mem: 31630 Epoch: [17] [2870/5278] eta: 1:56:39 lr: 2.9738286208492645e-05 loss: 0.0869 (0.0846) loss_seg: 0.0865 (0.0840) loss_lansim: 0.0400 (0.0509) loss_contra: 0.0007 (0.0063) time: 2.8609 data: 0.0061 max mem: 31630 Epoch: [17] [2880/5278] eta: 1:56:10 lr: 2.9736028033244008e-05 loss: 0.0882 (0.0846) loss_seg: 0.0877 (0.0840) loss_lansim: 0.0398 (0.0509) loss_contra: 0.0007 (0.0063) time: 2.8671 data: 0.0061 max mem: 31630 Epoch: [17] [2890/5278] eta: 1:55:41 lr: 2.973376983894105e-05 loss: 0.0869 (0.0848) loss_seg: 0.0865 (0.0842) loss_lansim: 0.0394 (0.0508) loss_contra: 0.0008 (0.0063) time: 2.8818 data: 0.0061 max mem: 31630 Epoch: [17] [2900/5278] eta: 1:55:12 lr: 2.9731511625582002e-05 loss: 0.0868 (0.0848) loss_seg: 0.0865 (0.0842) loss_lansim: 0.0398 (0.0508) loss_contra: 0.0012 (0.0063) time: 2.8919 data: 0.0061 max mem: 31630 Epoch: [17] [2910/5278] eta: 1:54:43 lr: 2.9729253393165096e-05 loss: 0.0851 (0.0848) loss_seg: 0.0846 (0.0842) loss_lansim: 0.0393 (0.0508) loss_contra: 0.0010 (0.0064) time: 2.9016 data: 0.0062 max mem: 31630 Epoch: [17] [2920/5278] eta: 1:54:15 lr: 2.9726995141688556e-05 loss: 0.0842 (0.0848) loss_seg: 0.0836 (0.0843) loss_lansim: 0.0397 (0.0507) loss_contra: 0.0013 (0.0064) time: 2.9129 data: 0.0062 max mem: 31630 Epoch: [17] [2930/5278] eta: 1:53:46 lr: 2.9724736871150627e-05 loss: 0.0822 (0.0848) loss_seg: 0.0814 (0.0842) loss_lansim: 0.0398 (0.0507) loss_contra: 0.0013 (0.0064) time: 2.9242 data: 0.0063 max mem: 31630 Epoch: [17] [2940/5278] eta: 1:53:17 lr: 2.9722478581549517e-05 loss: 0.0816 (0.0848) loss_seg: 0.0803 (0.0842) loss_lansim: 0.0408 (0.0507) loss_contra: 0.0013 (0.0064) time: 2.9378 data: 0.0063 max mem: 31630 Epoch: [17] [2950/5278] eta: 1:52:48 lr: 2.972022027288348e-05 loss: 0.0807 (0.0848) loss_seg: 0.0802 (0.0842) loss_lansim: 0.0405 (0.0507) loss_contra: 0.0017 (0.0064) time: 2.9435 data: 0.0063 max mem: 31630 Epoch: [17] [2960/5278] eta: 1:52:20 lr: 2.9717961945150736e-05 loss: 0.0797 (0.0847) loss_seg: 0.0790 (0.0842) loss_lansim: 0.0407 (0.0506) loss_contra: 0.0020 (0.0064) time: 2.9437 data: 0.0063 max mem: 31630 Epoch: [17] [2970/5278] eta: 1:51:51 lr: 2.9715703598349504e-05 loss: 0.0799 (0.0848) loss_seg: 0.0794 (0.0842) loss_lansim: 0.0409 (0.0506) loss_contra: 0.0018 (0.0064) time: 2.9452 data: 0.0063 max mem: 31630 Epoch: [17] [2980/5278] eta: 1:51:22 lr: 2.9713445232478027e-05 loss: 0.0794 (0.0848) loss_seg: 0.0790 (0.0842) loss_lansim: 0.0420 (0.0506) loss_contra: 0.0013 (0.0064) time: 2.9492 data: 0.0063 max mem: 31630 Epoch: [17] [2990/5278] eta: 1:50:54 lr: 2.9711186847534522e-05 loss: 0.0797 (0.0848) loss_seg: 0.0792 (0.0842) loss_lansim: 0.0425 (0.0506) loss_contra: 0.0013 (0.0064) time: 2.9517 data: 0.0063 max mem: 31630 Epoch: [17] [3000/5278] eta: 1:50:24 lr: 2.9708928443517225e-05 loss: 0.0794 (0.0848) loss_seg: 0.0790 (0.0843) loss_lansim: 0.0425 (0.0506) loss_contra: 0.0013 (0.0064) time: 2.9467 data: 0.0064 max mem: 31630 Epoch: [17] [3010/5278] eta: 1:49:56 lr: 2.9706670020424366e-05 loss: 0.0785 (0.0849) loss_seg: 0.0781 (0.0843) loss_lansim: 0.0433 (0.0505) loss_contra: 0.0013 (0.0064) time: 2.9508 data: 0.0063 max mem: 31630 Epoch: [17] [3020/5278] eta: 1:49:27 lr: 2.9704411578254153e-05 loss: 0.0809 (0.0849) loss_seg: 0.0804 (0.0843) loss_lansim: 0.0428 (0.0505) loss_contra: 0.0012 (0.0063) time: 2.9519 data: 0.0063 max mem: 31630 Epoch: [17] [3030/5278] eta: 1:48:58 lr: 2.9702153117004845e-05 loss: 0.0812 (0.0849) loss_seg: 0.0807 (0.0843) loss_lansim: 0.0427 (0.0505) loss_contra: 0.0010 (0.0063) time: 2.9481 data: 0.0062 max mem: 31630 Epoch: [17] [3040/5278] eta: 1:48:29 lr: 2.9699894636674646e-05 loss: 0.0819 (0.0849) loss_seg: 0.0815 (0.0843) loss_lansim: 0.0423 (0.0505) loss_contra: 0.0009 (0.0063) time: 2.9399 data: 0.0062 max mem: 31630 Epoch: [17] [3050/5278] eta: 1:47:59 lr: 2.9697636137261788e-05 loss: 0.0812 (0.0849) loss_seg: 0.0807 (0.0844) loss_lansim: 0.0423 (0.0504) loss_contra: 0.0009 (0.0063) time: 2.9306 data: 0.0062 max mem: 31630 Epoch: [17] [3060/5278] eta: 1:47:30 lr: 2.9695377618764497e-05 loss: 0.0824 (0.0850) loss_seg: 0.0818 (0.0844) loss_lansim: 0.0423 (0.0504) loss_contra: 0.0009 (0.0063) time: 2.9205 data: 0.0061 max mem: 31630 Epoch: [17] [3070/5278] eta: 1:47:01 lr: 2.9693119081180997e-05 loss: 0.0829 (0.0850) loss_seg: 0.0824 (0.0844) loss_lansim: 0.0423 (0.0504) loss_contra: 0.0009 (0.0063) time: 2.9256 data: 0.0061 max mem: 31630 Epoch: [17] [3080/5278] eta: 1:46:33 lr: 2.9690860524509524e-05 loss: 0.0835 (0.0850) loss_seg: 0.0830 (0.0844) loss_lansim: 0.0416 (0.0503) loss_contra: 0.0007 (0.0063) time: 2.9326 data: 0.0061 max mem: 31630 Epoch: [17] [3090/5278] eta: 1:46:04 lr: 2.968860194874829e-05 loss: 0.0838 (0.0850) loss_seg: 0.0833 (0.0844) loss_lansim: 0.0416 (0.0503) loss_contra: 0.0005 (0.0062) time: 2.9306 data: 0.0062 max mem: 31630 Epoch: [17] [3100/5278] eta: 1:45:36 lr: 2.9686343353895524e-05 loss: 0.0838 (0.0850) loss_seg: 0.0833 (0.0845) loss_lansim: 0.0420 (0.0503) loss_contra: 0.0005 (0.0062) time: 2.9375 data: 0.0061 max mem: 31630 Epoch: [17] [3110/5278] eta: 1:45:07 lr: 2.968408473994946e-05 loss: 0.0842 (0.0850) loss_seg: 0.0838 (0.0845) loss_lansim: 0.0421 (0.0503) loss_contra: 0.0004 (0.0062) time: 2.9363 data: 0.0062 max mem: 31630 Epoch: [17] [3120/5278] eta: 1:44:38 lr: 2.9681826106908313e-05 loss: 0.0842 (0.0850) loss_seg: 0.0830 (0.0845) loss_lansim: 0.0427 (0.0503) loss_contra: 0.0005 (0.0063) time: 2.9339 data: 0.0062 max mem: 31630 Epoch: [17] [3130/5278] eta: 1:44:09 lr: 2.96795674547703e-05 loss: 0.0842 (0.0851) loss_seg: 0.0838 (0.0845) loss_lansim: 0.0429 (0.0503) loss_contra: 0.0005 (0.0063) time: 2.9398 data: 0.0063 max mem: 31630 Epoch: [17] [3140/5278] eta: 1:43:41 lr: 2.9677308783533665e-05 loss: 0.0842 (0.0851) loss_seg: 0.0830 (0.0845) loss_lansim: 0.0440 (0.0503) loss_contra: 0.0006 (0.0063) time: 2.9497 data: 0.0063 max mem: 31630 Epoch: [17] [3150/5278] eta: 1:43:12 lr: 2.967505009319661e-05 loss: 0.0842 (0.0851) loss_seg: 0.0838 (0.0845) loss_lansim: 0.0450 (0.0503) loss_contra: 0.0005 (0.0063) time: 2.9556 data: 0.0063 max mem: 31630 Epoch: [17] [3160/5278] eta: 1:42:42 lr: 2.9672791383757374e-05 loss: 0.0842 (0.0851) loss_seg: 0.0830 (0.0845) loss_lansim: 0.0454 (0.0503) loss_contra: 0.0005 (0.0063) time: 2.9554 data: 0.0063 max mem: 31630 Epoch: [17] [3170/5278] eta: 1:42:13 lr: 2.9670532655214172e-05 loss: 0.0836 (0.0850) loss_seg: 0.0830 (0.0845) loss_lansim: 0.0459 (0.0503) loss_contra: 0.0006 (0.0063) time: 2.9463 data: 0.0063 max mem: 31630 Epoch: [17] [3180/5278] eta: 1:41:44 lr: 2.9668273907565226e-05 loss: 0.0820 (0.0850) loss_seg: 0.0810 (0.0844) loss_lansim: 0.0465 (0.0503) loss_contra: 0.0006 (0.0063) time: 2.9334 data: 0.0062 max mem: 31630 Epoch: [17] [3190/5278] eta: 1:41:14 lr: 2.9666015140808766e-05 loss: 0.0796 (0.0850) loss_seg: 0.0791 (0.0844) loss_lansim: 0.0466 (0.0503) loss_contra: 0.0008 (0.0062) time: 2.9248 data: 0.0062 max mem: 31630 Epoch: [17] [3200/5278] eta: 1:40:45 lr: 2.9663756354943006e-05 loss: 0.0788 (0.0851) loss_seg: 0.0783 (0.0845) loss_lansim: 0.0470 (0.0503) loss_contra: 0.0006 (0.0062) time: 2.9182 data: 0.0062 max mem: 31630 Epoch: [17] [3210/5278] eta: 1:40:16 lr: 2.9661497549966172e-05 loss: 0.0796 (0.0851) loss_seg: 0.0791 (0.0846) loss_lansim: 0.0474 (0.0503) loss_contra: 0.0007 (0.0062) time: 2.9102 data: 0.0062 max mem: 31630 Epoch: [17] [3220/5278] eta: 1:39:47 lr: 2.965923872587648e-05 loss: 0.0806 (0.0851) loss_seg: 0.0800 (0.0845) loss_lansim: 0.0474 (0.0502) loss_contra: 0.0006 (0.0062) time: 2.9040 data: 0.0062 max mem: 31630 Epoch: [17] [3230/5278] eta: 1:39:18 lr: 2.9656979882672147e-05 loss: 0.0788 (0.0851) loss_seg: 0.0783 (0.0845) loss_lansim: 0.0474 (0.0502) loss_contra: 0.0006 (0.0062) time: 2.9007 data: 0.0062 max mem: 31630 Epoch: [17] [3240/5278] eta: 1:38:49 lr: 2.9654721020351417e-05 loss: 0.0764 (0.0850) loss_seg: 0.0759 (0.0845) loss_lansim: 0.0474 (0.0502) loss_contra: 0.0004 (0.0062) time: 2.8897 data: 0.0061 max mem: 31630 Epoch: [17] [3250/5278] eta: 1:38:19 lr: 2.965246213891248e-05 loss: 0.0754 (0.0851) loss_seg: 0.0749 (0.0846) loss_lansim: 0.0474 (0.0502) loss_contra: 0.0006 (0.0062) time: 2.8877 data: 0.0061 max mem: 31630 Epoch: [17] [3260/5278] eta: 1:37:50 lr: 2.9650203238353575e-05 loss: 0.0774 (0.0852) loss_seg: 0.0768 (0.0846) loss_lansim: 0.0470 (0.0502) loss_contra: 0.0006 (0.0062) time: 2.8925 data: 0.0062 max mem: 31630 Epoch: [17] [3270/5278] eta: 1:37:21 lr: 2.9647944318672922e-05 loss: 0.0784 (0.0853) loss_seg: 0.0779 (0.0847) loss_lansim: 0.0468 (0.0502) loss_contra: 0.0004 (0.0062) time: 2.8918 data: 0.0062 max mem: 31630 Epoch: [17] [3280/5278] eta: 1:36:52 lr: 2.9645685379868726e-05 loss: 0.0806 (0.0853) loss_seg: 0.0802 (0.0847) loss_lansim: 0.0474 (0.0502) loss_contra: 0.0004 (0.0062) time: 2.8969 data: 0.0062 max mem: 31630 Epoch: [17] [3290/5278] eta: 1:36:23 lr: 2.9643426421939213e-05 loss: 0.0806 (0.0853) loss_seg: 0.0802 (0.0847) loss_lansim: 0.0479 (0.0502) loss_contra: 0.0004 (0.0061) time: 2.9046 data: 0.0062 max mem: 31630 Epoch: [17] [3300/5278] eta: 1:35:54 lr: 2.9641167444882612e-05 loss: 0.0775 (0.0854) loss_seg: 0.0768 (0.0848) loss_lansim: 0.0479 (0.0502) loss_contra: 0.0004 (0.0061) time: 2.9047 data: 0.0062 max mem: 31630 Epoch: [17] [3310/5278] eta: 1:35:25 lr: 2.9638908448697124e-05 loss: 0.0774 (0.0853) loss_seg: 0.0767 (0.0848) loss_lansim: 0.0479 (0.0502) loss_contra: 0.0004 (0.0061) time: 2.9108 data: 0.0062 max mem: 31630 Epoch: [17] [3320/5278] eta: 1:34:56 lr: 2.9636649433380986e-05 loss: 0.0811 (0.0854) loss_seg: 0.0807 (0.0848) loss_lansim: 0.0479 (0.0502) loss_contra: 0.0004 (0.0061) time: 2.9170 data: 0.0061 max mem: 31630 Epoch: [17] [3330/5278] eta: 1:34:27 lr: 2.9634390398932394e-05 loss: 0.0840 (0.0854) loss_seg: 0.0834 (0.0849) loss_lansim: 0.0483 (0.0502) loss_contra: 0.0005 (0.0061) time: 2.9155 data: 0.0061 max mem: 31630 Epoch: [17] [3340/5278] eta: 1:33:58 lr: 2.9632131345349585e-05 loss: 0.0851 (0.0854) loss_seg: 0.0845 (0.0848) loss_lansim: 0.0478 (0.0502) loss_contra: 0.0004 (0.0061) time: 2.9212 data: 0.0061 max mem: 31630 Epoch: [17] [3350/5278] eta: 1:33:29 lr: 2.9629872272630767e-05 loss: 0.0850 (0.0854) loss_seg: 0.0844 (0.0848) loss_lansim: 0.0476 (0.0502) loss_contra: 0.0005 (0.0061) time: 2.9264 data: 0.0062 max mem: 31630 Epoch: [17] [3360/5278] eta: 1:33:00 lr: 2.962761318077415e-05 loss: 0.0844 (0.0855) loss_seg: 0.0840 (0.0849) loss_lansim: 0.0474 (0.0501) loss_contra: 0.0005 (0.0061) time: 2.9263 data: 0.0062 max mem: 31630 Epoch: [17] [3370/5278] eta: 1:32:31 lr: 2.9625354069777968e-05 loss: 0.0840 (0.0856) loss_seg: 0.0834 (0.0850) loss_lansim: 0.0467 (0.0501) loss_contra: 0.0005 (0.0061) time: 2.9281 data: 0.0061 max mem: 31630 Epoch: [17] [3380/5278] eta: 1:32:02 lr: 2.9623094939640423e-05 loss: 0.0842 (0.0856) loss_seg: 0.0834 (0.0850) loss_lansim: 0.0466 (0.0501) loss_contra: 0.0005 (0.0061) time: 2.9268 data: 0.0061 max mem: 31630 Epoch: [17] [3390/5278] eta: 1:31:33 lr: 2.9620835790359736e-05 loss: 0.0878 (0.0857) loss_seg: 0.0872 (0.0851) loss_lansim: 0.0457 (0.0501) loss_contra: 0.0005 (0.0061) time: 2.9281 data: 0.0061 max mem: 31630 Epoch: [17] [3400/5278] eta: 1:31:05 lr: 2.9618576621934123e-05 loss: 0.0868 (0.0856) loss_seg: 0.0860 (0.0850) loss_lansim: 0.0451 (0.0501) loss_contra: 0.0005 (0.0061) time: 2.9347 data: 0.0061 max mem: 31630 Epoch: [17] [3410/5278] eta: 1:30:36 lr: 2.9616317434361795e-05 loss: 0.0868 (0.0856) loss_seg: 0.0860 (0.0850) loss_lansim: 0.0451 (0.0501) loss_contra: 0.0005 (0.0061) time: 2.9399 data: 0.0061 max mem: 31630 Epoch: [17] [3420/5278] eta: 1:30:07 lr: 2.9614058227640972e-05 loss: 0.0842 (0.0857) loss_seg: 0.0834 (0.0851) loss_lansim: 0.0456 (0.0501) loss_contra: 0.0005 (0.0061) time: 2.9452 data: 0.0061 max mem: 31630 Epoch: [17] [3430/5278] eta: 1:29:38 lr: 2.961179900176987e-05 loss: 0.0835 (0.0857) loss_seg: 0.0830 (0.0851) loss_lansim: 0.0455 (0.0501) loss_contra: 0.0007 (0.0061) time: 2.9486 data: 0.0061 max mem: 31630 Epoch: [17] [3440/5278] eta: 1:29:10 lr: 2.960953975674669e-05 loss: 0.0857 (0.0857) loss_seg: 0.0852 (0.0852) loss_lansim: 0.0462 (0.0501) loss_contra: 0.0007 (0.0060) time: 2.9524 data: 0.0061 max mem: 31630 Epoch: [17] [3450/5278] eta: 1:28:41 lr: 2.960728049256966e-05 loss: 0.0857 (0.0857) loss_seg: 0.0852 (0.0851) loss_lansim: 0.0466 (0.0501) loss_contra: 0.0006 (0.0060) time: 2.9537 data: 0.0061 max mem: 31630 Epoch: [17] [3460/5278] eta: 1:28:12 lr: 2.9605021209236995e-05 loss: 0.0862 (0.0857) loss_seg: 0.0856 (0.0851) loss_lansim: 0.0471 (0.0501) loss_contra: 0.0004 (0.0060) time: 2.9570 data: 0.0062 max mem: 31630 Epoch: [17] [3470/5278] eta: 1:27:43 lr: 2.960276190674689e-05 loss: 0.0857 (0.0857) loss_seg: 0.0852 (0.0851) loss_lansim: 0.0481 (0.0501) loss_contra: 0.0004 (0.0060) time: 2.9641 data: 0.0062 max mem: 31630 Epoch: [17] [3480/5278] eta: 1:27:14 lr: 2.9600502585097584e-05 loss: 0.0832 (0.0857) loss_seg: 0.0827 (0.0851) loss_lansim: 0.0484 (0.0501) loss_contra: 0.0005 (0.0060) time: 2.9631 data: 0.0062 max mem: 31630 Epoch: [17] [3490/5278] eta: 1:26:45 lr: 2.9598243244287265e-05 loss: 0.0752 (0.0857) loss_seg: 0.0746 (0.0851) loss_lansim: 0.0494 (0.0501) loss_contra: 0.0006 (0.0060) time: 2.9578 data: 0.0063 max mem: 31630 Epoch: [17] [3500/5278] eta: 1:26:16 lr: 2.959598388431416e-05 loss: 0.0764 (0.0856) loss_seg: 0.0757 (0.0851) loss_lansim: 0.0496 (0.0501) loss_contra: 0.0006 (0.0060) time: 2.9524 data: 0.0062 max mem: 31630 Epoch: [17] [3510/5278] eta: 1:25:47 lr: 2.9593724505176484e-05 loss: 0.0791 (0.0857) loss_seg: 0.0784 (0.0851) loss_lansim: 0.0504 (0.0501) loss_contra: 0.0006 (0.0060) time: 2.9438 data: 0.0062 max mem: 31630 Epoch: [17] [3520/5278] eta: 1:25:18 lr: 2.9591465106872428e-05 loss: 0.0832 (0.0857) loss_seg: 0.0827 (0.0851) loss_lansim: 0.0503 (0.0501) loss_contra: 0.0007 (0.0060) time: 2.9359 data: 0.0062 max mem: 31630 Epoch: [17] [3530/5278] eta: 1:24:49 lr: 2.958920568940023e-05 loss: 0.0791 (0.0857) loss_seg: 0.0784 (0.0851) loss_lansim: 0.0507 (0.0501) loss_contra: 0.0006 (0.0060) time: 2.9368 data: 0.0062 max mem: 31630 Epoch: [17] [3540/5278] eta: 1:24:19 lr: 2.9586946252758086e-05 loss: 0.0791 (0.0857) loss_seg: 0.0784 (0.0851) loss_lansim: 0.0504 (0.0501) loss_contra: 0.0007 (0.0060) time: 2.9299 data: 0.0062 max mem: 31630 Epoch: [17] [3550/5278] eta: 1:23:50 lr: 2.9584686796944206e-05 loss: 0.0795 (0.0857) loss_seg: 0.0790 (0.0851) loss_lansim: 0.0503 (0.0501) loss_contra: 0.0007 (0.0060) time: 2.9228 data: 0.0062 max mem: 31630 Epoch: [17] [3560/5278] eta: 1:23:21 lr: 2.9582427321956807e-05 loss: 0.0795 (0.0857) loss_seg: 0.0790 (0.0851) loss_lansim: 0.0497 (0.0501) loss_contra: 0.0007 (0.0060) time: 2.9215 data: 0.0062 max mem: 31630 Epoch: [17] [3570/5278] eta: 1:22:52 lr: 2.9580167827794093e-05 loss: 0.0832 (0.0857) loss_seg: 0.0827 (0.0852) loss_lansim: 0.0496 (0.0501) loss_contra: 0.0006 (0.0060) time: 2.9117 data: 0.0061 max mem: 31630 Epoch: [17] [3580/5278] eta: 1:22:23 lr: 2.9577908314454272e-05 loss: 0.0814 (0.0858) loss_seg: 0.0810 (0.0852) loss_lansim: 0.0491 (0.0501) loss_contra: 0.0007 (0.0059) time: 2.9101 data: 0.0061 max mem: 31630 Epoch: [17] [3590/5278] eta: 1:21:54 lr: 2.957564878193556e-05 loss: 0.0833 (0.0858) loss_seg: 0.0829 (0.0852) loss_lansim: 0.0482 (0.0500) loss_contra: 0.0008 (0.0060) time: 2.9136 data: 0.0061 max mem: 31630 Epoch: [17] [3600/5278] eta: 1:21:25 lr: 2.957338923023617e-05 loss: 0.0803 (0.0857) loss_seg: 0.0799 (0.0852) loss_lansim: 0.0464 (0.0500) loss_contra: 0.0008 (0.0059) time: 2.9092 data: 0.0061 max mem: 31630 Epoch: [17] [3610/5278] eta: 1:20:55 lr: 2.9571129659354304e-05 loss: 0.0795 (0.0857) loss_seg: 0.0790 (0.0852) loss_lansim: 0.0442 (0.0500) loss_contra: 0.0008 (0.0059) time: 2.9085 data: 0.0061 max mem: 31630 Epoch: [17] [3620/5278] eta: 1:20:26 lr: 2.9568870069288168e-05 loss: 0.0771 (0.0857) loss_seg: 0.0768 (0.0851) loss_lansim: 0.0422 (0.0499) loss_contra: 0.0008 (0.0059) time: 2.9056 data: 0.0062 max mem: 31630 Epoch: [17] [3630/5278] eta: 1:19:57 lr: 2.956661046003597e-05 loss: 0.0774 (0.0857) loss_seg: 0.0770 (0.0851) loss_lansim: 0.0404 (0.0499) loss_contra: 0.0008 (0.0059) time: 2.9019 data: 0.0062 max mem: 31630 Epoch: [17] [3640/5278] eta: 1:19:28 lr: 2.9564350831595932e-05 loss: 0.0774 (0.0857) loss_seg: 0.0770 (0.0851) loss_lansim: 0.0390 (0.0498) loss_contra: 0.0008 (0.0059) time: 2.9059 data: 0.0062 max mem: 31630 Epoch: [17] [3650/5278] eta: 1:18:59 lr: 2.956209118396624e-05 loss: 0.0802 (0.0858) loss_seg: 0.0798 (0.0852) loss_lansim: 0.0383 (0.0498) loss_contra: 0.0008 (0.0059) time: 2.9030 data: 0.0062 max mem: 31630 Epoch: [17] [3660/5278] eta: 1:18:30 lr: 2.955983151714512e-05 loss: 0.0810 (0.0858) loss_seg: 0.0807 (0.0852) loss_lansim: 0.0370 (0.0498) loss_contra: 0.0008 (0.0059) time: 2.9051 data: 0.0062 max mem: 31630 Epoch: [17] [3670/5278] eta: 1:18:01 lr: 2.9557571831130765e-05 loss: 0.0803 (0.0858) loss_seg: 0.0799 (0.0852) loss_lansim: 0.0357 (0.0497) loss_contra: 0.0010 (0.0059) time: 2.9152 data: 0.0062 max mem: 31630 Epoch: [17] [3680/5278] eta: 1:17:32 lr: 2.9555312125921393e-05 loss: 0.0818 (0.0858) loss_seg: 0.0814 (0.0853) loss_lansim: 0.0353 (0.0497) loss_contra: 0.0010 (0.0059) time: 2.9175 data: 0.0063 max mem: 31630 Epoch: [17] [3690/5278] eta: 1:17:03 lr: 2.95530524015152e-05 loss: 0.0792 (0.0858) loss_seg: 0.0789 (0.0852) loss_lansim: 0.0351 (0.0496) loss_contra: 0.0010 (0.0059) time: 2.9267 data: 0.0063 max mem: 31630 Epoch: [17] [3700/5278] eta: 1:16:35 lr: 2.9550792657910402e-05 loss: 0.0810 (0.0858) loss_seg: 0.0807 (0.0852) loss_lansim: 0.0351 (0.0496) loss_contra: 0.0011 (0.0059) time: 2.9462 data: 0.0063 max mem: 31630 Epoch: [17] [3710/5278] eta: 1:16:06 lr: 2.9548532895105195e-05 loss: 0.0792 (0.0858) loss_seg: 0.0789 (0.0852) loss_lansim: 0.0348 (0.0496) loss_contra: 0.0010 (0.0059) time: 2.9607 data: 0.0063 max mem: 31630 Epoch: [17] [3720/5278] eta: 1:15:38 lr: 2.9546273113097796e-05 loss: 0.0810 (0.0858) loss_seg: 0.0807 (0.0852) loss_lansim: 0.0347 (0.0495) loss_contra: 0.0008 (0.0059) time: 2.9742 data: 0.0063 max mem: 31630 Epoch: [17] [3730/5278] eta: 1:15:09 lr: 2.9544013311886394e-05 loss: 0.0810 (0.0858) loss_seg: 0.0807 (0.0853) loss_lansim: 0.0348 (0.0495) loss_contra: 0.0008 (0.0059) time: 2.9892 data: 0.0063 max mem: 31630 Epoch: [17] [3740/5278] eta: 1:14:41 lr: 2.9541753491469204e-05 loss: 0.0790 (0.0858) loss_seg: 0.0787 (0.0853) loss_lansim: 0.0347 (0.0494) loss_contra: 0.0008 (0.0059) time: 3.0016 data: 0.0064 max mem: 31630 Epoch: [17] [3750/5278] eta: 1:14:12 lr: 2.953949365184443e-05 loss: 0.0768 (0.0858) loss_seg: 0.0764 (0.0853) loss_lansim: 0.0347 (0.0494) loss_contra: 0.0006 (0.0059) time: 3.0199 data: 0.0064 max mem: 31630 Epoch: [17] [3760/5278] eta: 1:13:43 lr: 2.9537233793010276e-05 loss: 0.0757 (0.0858) loss_seg: 0.0754 (0.0853) loss_lansim: 0.0344 (0.0494) loss_contra: 0.0007 (0.0059) time: 3.0286 data: 0.0065 max mem: 31630 Epoch: [17] [3770/5278] eta: 1:13:15 lr: 2.9534973914964946e-05 loss: 0.0757 (0.0858) loss_seg: 0.0754 (0.0853) loss_lansim: 0.0344 (0.0493) loss_contra: 0.0007 (0.0059) time: 3.0292 data: 0.0065 max mem: 31630 Epoch: [17] [3780/5278] eta: 1:12:46 lr: 2.9532714017706642e-05 loss: 0.0746 (0.0858) loss_seg: 0.0742 (0.0853) loss_lansim: 0.0342 (0.0493) loss_contra: 0.0007 (0.0059) time: 3.0361 data: 0.0064 max mem: 31630 Epoch: [17] [3790/5278] eta: 1:12:17 lr: 2.953045410123356e-05 loss: 0.0735 (0.0858) loss_seg: 0.0732 (0.0853) loss_lansim: 0.0342 (0.0492) loss_contra: 0.0006 (0.0059) time: 3.0297 data: 0.0064 max mem: 31630 Epoch: [17] [3800/5278] eta: 1:11:48 lr: 2.9528194165543923e-05 loss: 0.0765 (0.0858) loss_seg: 0.0760 (0.0853) loss_lansim: 0.0339 (0.0492) loss_contra: 0.0007 (0.0059) time: 3.0181 data: 0.0064 max mem: 31630 Epoch: [17] [3810/5278] eta: 1:11:19 lr: 2.9525934210635902e-05 loss: 0.0735 (0.0858) loss_seg: 0.0732 (0.0852) loss_lansim: 0.0334 (0.0491) loss_contra: 0.0006 (0.0059) time: 3.0040 data: 0.0064 max mem: 31630 Epoch: [17] [3820/5278] eta: 1:10:49 lr: 2.9523674236507732e-05 loss: 0.0746 (0.0858) loss_seg: 0.0742 (0.0853) loss_lansim: 0.0332 (0.0491) loss_contra: 0.0006 (0.0059) time: 2.9918 data: 0.0064 max mem: 31630 Epoch: [17] [3830/5278] eta: 1:10:20 lr: 2.9521414243157592e-05 loss: 0.0765 (0.0859) loss_seg: 0.0760 (0.0853) loss_lansim: 0.0331 (0.0491) loss_contra: 0.0007 (0.0059) time: 2.9777 data: 0.0064 max mem: 31630 Epoch: [17] [3840/5278] eta: 1:09:51 lr: 2.9519154230583694e-05 loss: 0.0754 (0.0858) loss_seg: 0.0747 (0.0853) loss_lansim: 0.0333 (0.0490) loss_contra: 0.0007 (0.0059) time: 2.9637 data: 0.0065 max mem: 31630 Epoch: [17] [3850/5278] eta: 1:09:22 lr: 2.951689419878424e-05 loss: 0.0754 (0.0858) loss_seg: 0.0747 (0.0852) loss_lansim: 0.0329 (0.0490) loss_contra: 0.0007 (0.0059) time: 2.9476 data: 0.0064 max mem: 31630 Epoch: [17] [3860/5278] eta: 1:08:53 lr: 2.951463414775742e-05 loss: 0.0734 (0.0858) loss_seg: 0.0731 (0.0852) loss_lansim: 0.0327 (0.0489) loss_contra: 0.0005 (0.0059) time: 2.9372 data: 0.0063 max mem: 31630 Epoch: [17] [3870/5278] eta: 1:08:24 lr: 2.951237407750145e-05 loss: 0.0727 (0.0857) loss_seg: 0.0723 (0.0852) loss_lansim: 0.0322 (0.0489) loss_contra: 0.0006 (0.0059) time: 2.9290 data: 0.0063 max mem: 31630 Epoch: [17] [3880/5278] eta: 1:07:54 lr: 2.9510113988014517e-05 loss: 0.0717 (0.0857) loss_seg: 0.0714 (0.0852) loss_lansim: 0.0326 (0.0489) loss_contra: 0.0005 (0.0058) time: 2.9185 data: 0.0063 max mem: 31630 Epoch: [17] [3890/5278] eta: 1:07:25 lr: 2.9507853879294823e-05 loss: 0.0734 (0.0858) loss_seg: 0.0731 (0.0852) loss_lansim: 0.0327 (0.0488) loss_contra: 0.0006 (0.0058) time: 2.9162 data: 0.0064 max mem: 31630 Epoch: [17] [3900/5278] eta: 1:06:56 lr: 2.950559375134058e-05 loss: 0.0705 (0.0858) loss_seg: 0.0702 (0.0852) loss_lansim: 0.0328 (0.0488) loss_contra: 0.0006 (0.0058) time: 2.9121 data: 0.0064 max mem: 31630 Epoch: [17] [3910/5278] eta: 1:06:27 lr: 2.950333360414997e-05 loss: 0.0705 (0.0857) loss_seg: 0.0702 (0.0852) loss_lansim: 0.0329 (0.0487) loss_contra: 0.0006 (0.0058) time: 2.9129 data: 0.0065 max mem: 31630 Epoch: [17] [3920/5278] eta: 1:05:58 lr: 2.95010734377212e-05 loss: 0.0717 (0.0857) loss_seg: 0.0714 (0.0852) loss_lansim: 0.0319 (0.0487) loss_contra: 0.0005 (0.0058) time: 2.9133 data: 0.0064 max mem: 31630 Epoch: [17] [3930/5278] eta: 1:05:29 lr: 2.9498813252052477e-05 loss: 0.0684 (0.0857) loss_seg: 0.0681 (0.0851) loss_lansim: 0.0317 (0.0487) loss_contra: 0.0005 (0.0058) time: 2.9148 data: 0.0064 max mem: 31630 Epoch: [17] [3940/5278] eta: 1:05:00 lr: 2.9496553047141974e-05 loss: 0.0673 (0.0856) loss_seg: 0.0667 (0.0851) loss_lansim: 0.0315 (0.0486) loss_contra: 0.0004 (0.0058) time: 2.9141 data: 0.0064 max mem: 31630 Epoch: [17] [3950/5278] eta: 1:04:31 lr: 2.949429282298792e-05 loss: 0.0701 (0.0857) loss_seg: 0.0698 (0.0851) loss_lansim: 0.0317 (0.0486) loss_contra: 0.0004 (0.0058) time: 2.9188 data: 0.0065 max mem: 31630 Epoch: [17] [3960/5278] eta: 1:04:02 lr: 2.9492032579588487e-05 loss: 0.0684 (0.0856) loss_seg: 0.0681 (0.0851) loss_lansim: 0.0320 (0.0485) loss_contra: 0.0005 (0.0058) time: 2.9202 data: 0.0065 max mem: 31630 Epoch: [17] [3970/5278] eta: 1:03:33 lr: 2.9489772316941887e-05 loss: 0.0723 (0.0857) loss_seg: 0.0720 (0.0851) loss_lansim: 0.0319 (0.0485) loss_contra: 0.0004 (0.0058) time: 2.9242 data: 0.0066 max mem: 31630 Epoch: [17] [3980/5278] eta: 1:03:04 lr: 2.9487512035046315e-05 loss: 0.0760 (0.0857) loss_seg: 0.0757 (0.0851) loss_lansim: 0.0319 (0.0485) loss_contra: 0.0004 (0.0058) time: 2.9376 data: 0.0066 max mem: 31630 Epoch: [17] [3990/5278] eta: 1:02:35 lr: 2.9485251733899967e-05 loss: 0.0729 (0.0857) loss_seg: 0.0725 (0.0851) loss_lansim: 0.0319 (0.0484) loss_contra: 0.0004 (0.0058) time: 2.9462 data: 0.0065 max mem: 31630 Epoch: [17] [4000/5278] eta: 1:02:06 lr: 2.948299141350103e-05 loss: 0.0733 (0.0856) loss_seg: 0.0729 (0.0851) loss_lansim: 0.0314 (0.0484) loss_contra: 0.0004 (0.0058) time: 2.9547 data: 0.0065 max mem: 31630 Epoch: [17] [4010/5278] eta: 1:01:37 lr: 2.9480731073847716e-05 loss: 0.0748 (0.0856) loss_seg: 0.0744 (0.0851) loss_lansim: 0.0315 (0.0483) loss_contra: 0.0004 (0.0058) time: 2.9640 data: 0.0065 max mem: 31630 Epoch: [17] [4020/5278] eta: 1:01:08 lr: 2.9478470714938207e-05 loss: 0.0731 (0.0856) loss_seg: 0.0727 (0.0851) loss_lansim: 0.0316 (0.0483) loss_contra: 0.0004 (0.0058) time: 2.9779 data: 0.0065 max mem: 31630 Epoch: [17] [4030/5278] eta: 1:00:40 lr: 2.947621033677071e-05 loss: 0.0733 (0.0856) loss_seg: 0.0729 (0.0851) loss_lansim: 0.0319 (0.0483) loss_contra: 0.0004 (0.0058) time: 2.9893 data: 0.0064 max mem: 31630 Epoch: [17] [4040/5278] eta: 1:00:11 lr: 2.947394993934341e-05 loss: 0.0779 (0.0856) loss_seg: 0.0776 (0.0851) loss_lansim: 0.0319 (0.0482) loss_contra: 0.0005 (0.0058) time: 2.9984 data: 0.0064 max mem: 31630 Epoch: [17] [4050/5278] eta: 0:59:42 lr: 2.9471689522654505e-05 loss: 0.0760 (0.0856) loss_seg: 0.0757 (0.0851) loss_lansim: 0.0316 (0.0482) loss_contra: 0.0005 (0.0057) time: 2.9969 data: 0.0064 max mem: 31630 Epoch: [17] [4060/5278] eta: 0:59:12 lr: 2.9469429086702193e-05 loss: 0.0776 (0.0856) loss_seg: 0.0771 (0.0851) loss_lansim: 0.0322 (0.0482) loss_contra: 0.0005 (0.0057) time: 2.9926 data: 0.0063 max mem: 31630 Epoch: [17] [4070/5278] eta: 0:58:43 lr: 2.946716863148466e-05 loss: 0.0774 (0.0856) loss_seg: 0.0771 (0.0850) loss_lansim: 0.0322 (0.0481) loss_contra: 0.0006 (0.0057) time: 2.9863 data: 0.0062 max mem: 31630 Epoch: [17] [4080/5278] eta: 0:58:14 lr: 2.946490815700011e-05 loss: 0.0759 (0.0856) loss_seg: 0.0756 (0.0850) loss_lansim: 0.0323 (0.0481) loss_contra: 0.0006 (0.0057) time: 2.9745 data: 0.0062 max mem: 31630 Epoch: [17] [4090/5278] eta: 0:57:45 lr: 2.946264766324673e-05 loss: 0.0774 (0.0855) loss_seg: 0.0771 (0.0850) loss_lansim: 0.0315 (0.0481) loss_contra: 0.0005 (0.0057) time: 2.9617 data: 0.0061 max mem: 31630 Epoch: [17] [4100/5278] eta: 0:57:15 lr: 2.9460387150222714e-05 loss: 0.0776 (0.0856) loss_seg: 0.0771 (0.0850) loss_lansim: 0.0327 (0.0480) loss_contra: 0.0006 (0.0057) time: 2.9469 data: 0.0062 max mem: 31630 Epoch: [17] [4110/5278] eta: 0:56:46 lr: 2.9458126617926252e-05 loss: 0.0766 (0.0856) loss_seg: 0.0762 (0.0850) loss_lansim: 0.0329 (0.0480) loss_contra: 0.0006 (0.0057) time: 2.9361 data: 0.0062 max mem: 31630 Epoch: [17] [4120/5278] eta: 0:56:17 lr: 2.9455866066355542e-05 loss: 0.0782 (0.0856) loss_seg: 0.0773 (0.0850) loss_lansim: 0.0327 (0.0479) loss_contra: 0.0006 (0.0057) time: 2.9176 data: 0.0061 max mem: 31630 Epoch: [17] [4130/5278] eta: 0:55:47 lr: 2.9453605495508774e-05 loss: 0.0803 (0.0856) loss_seg: 0.0799 (0.0851) loss_lansim: 0.0322 (0.0479) loss_contra: 0.0007 (0.0057) time: 2.8989 data: 0.0061 max mem: 31630 Epoch: [17] [4140/5278] eta: 0:55:18 lr: 2.9451344905384136e-05 loss: 0.0782 (0.0856) loss_seg: 0.0773 (0.0850) loss_lansim: 0.0323 (0.0479) loss_contra: 0.0007 (0.0058) time: 2.8891 data: 0.0060 max mem: 31630 Epoch: [17] [4150/5278] eta: 0:54:49 lr: 2.9449084295979822e-05 loss: 0.0759 (0.0855) loss_seg: 0.0756 (0.0850) loss_lansim: 0.0324 (0.0478) loss_contra: 0.0008 (0.0058) time: 2.8820 data: 0.0060 max mem: 31630 Epoch: [17] [4160/5278] eta: 0:54:20 lr: 2.9446823667294033e-05 loss: 0.0735 (0.0855) loss_seg: 0.0732 (0.0849) loss_lansim: 0.0319 (0.0478) loss_contra: 0.0012 (0.0058) time: 2.8748 data: 0.0060 max mem: 31630 Epoch: [17] [4170/5278] eta: 0:53:50 lr: 2.944456301932494e-05 loss: 0.0727 (0.0855) loss_seg: 0.0724 (0.0849) loss_lansim: 0.0321 (0.0477) loss_contra: 0.0012 (0.0058) time: 2.8696 data: 0.0060 max mem: 31630 Epoch: [17] [4180/5278] eta: 0:53:21 lr: 2.944230235207075e-05 loss: 0.0721 (0.0854) loss_seg: 0.0717 (0.0849) loss_lansim: 0.0315 (0.0477) loss_contra: 0.0012 (0.0058) time: 2.8595 data: 0.0060 max mem: 31630 Epoch: [17] [4190/5278] eta: 0:52:51 lr: 2.9440041665529648e-05 loss: 0.0702 (0.0854) loss_seg: 0.0697 (0.0849) loss_lansim: 0.0315 (0.0477) loss_contra: 0.0013 (0.0058) time: 2.8537 data: 0.0059 max mem: 31630 Epoch: [17] [4200/5278] eta: 0:52:22 lr: 2.9437780959699818e-05 loss: 0.0725 (0.0854) loss_seg: 0.0722 (0.0849) loss_lansim: 0.0315 (0.0476) loss_contra: 0.0010 (0.0058) time: 2.8478 data: 0.0059 max mem: 31630 Epoch: [17] [4210/5278] eta: 0:51:53 lr: 2.9435520234579457e-05 loss: 0.0742 (0.0854) loss_seg: 0.0738 (0.0849) loss_lansim: 0.0314 (0.0476) loss_contra: 0.0011 (0.0058) time: 2.8415 data: 0.0058 max mem: 31630 Epoch: [17] [4220/5278] eta: 0:51:23 lr: 2.9433259490166758e-05 loss: 0.0707 (0.0854) loss_seg: 0.0701 (0.0849) loss_lansim: 0.0321 (0.0476) loss_contra: 0.0012 (0.0058) time: 2.8364 data: 0.0057 max mem: 31630 Epoch: [17] [4230/5278] eta: 0:50:54 lr: 2.9430998726459892e-05 loss: 0.0678 (0.0854) loss_seg: 0.0675 (0.0848) loss_lansim: 0.0324 (0.0475) loss_contra: 0.0011 (0.0058) time: 2.8332 data: 0.0057 max mem: 31630 Epoch: [17] [4240/5278] eta: 0:50:24 lr: 2.942873794345707e-05 loss: 0.0716 (0.0854) loss_seg: 0.0712 (0.0849) loss_lansim: 0.0319 (0.0475) loss_contra: 0.0008 (0.0058) time: 2.8268 data: 0.0057 max mem: 31630 Epoch: [17] [4250/5278] eta: 0:49:55 lr: 2.9426477141156462e-05 loss: 0.0725 (0.0854) loss_seg: 0.0722 (0.0848) loss_lansim: 0.0319 (0.0475) loss_contra: 0.0008 (0.0058) time: 2.8255 data: 0.0057 max mem: 31630 Epoch: [17] [4260/5278] eta: 0:49:26 lr: 2.9424216319556263e-05 loss: 0.0745 (0.0854) loss_seg: 0.0742 (0.0848) loss_lansim: 0.0319 (0.0474) loss_contra: 0.0007 (0.0058) time: 2.8253 data: 0.0057 max mem: 31630 Epoch: [17] [4270/5278] eta: 0:48:56 lr: 2.9421955478654667e-05 loss: 0.0727 (0.0854) loss_seg: 0.0723 (0.0848) loss_lansim: 0.0321 (0.0474) loss_contra: 0.0007 (0.0058) time: 2.8232 data: 0.0057 max mem: 31630 Epoch: [17] [4280/5278] eta: 0:48:27 lr: 2.941969461844985e-05 loss: 0.0727 (0.0854) loss_seg: 0.0723 (0.0848) loss_lansim: 0.0324 (0.0474) loss_contra: 0.0006 (0.0058) time: 2.8232 data: 0.0057 max mem: 31630 Epoch: [17] [4290/5278] eta: 0:47:58 lr: 2.9417433738940007e-05 loss: 0.0724 (0.0853) loss_seg: 0.0721 (0.0848) loss_lansim: 0.0324 (0.0473) loss_contra: 0.0004 (0.0058) time: 2.8197 data: 0.0057 max mem: 31630 Epoch: [17] [4300/5278] eta: 0:47:28 lr: 2.9415172840123323e-05 loss: 0.0707 (0.0853) loss_seg: 0.0701 (0.0848) loss_lansim: 0.0327 (0.0473) loss_contra: 0.0004 (0.0058) time: 2.8231 data: 0.0057 max mem: 31630 Epoch: [17] [4310/5278] eta: 0:46:59 lr: 2.9412911921997976e-05 loss: 0.0707 (0.0853) loss_seg: 0.0701 (0.0847) loss_lansim: 0.0327 (0.0473) loss_contra: 0.0004 (0.0057) time: 2.8218 data: 0.0057 max mem: 31630 Epoch: [17] [4320/5278] eta: 0:46:30 lr: 2.9410650984562166e-05 loss: 0.0734 (0.0853) loss_seg: 0.0730 (0.0847) loss_lansim: 0.0326 (0.0473) loss_contra: 0.0004 (0.0057) time: 2.8224 data: 0.0057 max mem: 31630 Epoch: [17] [4330/5278] eta: 0:46:00 lr: 2.940839002781407e-05 loss: 0.0741 (0.0852) loss_seg: 0.0737 (0.0847) loss_lansim: 0.0326 (0.0472) loss_contra: 0.0004 (0.0057) time: 2.8202 data: 0.0057 max mem: 31630 Epoch: [17] [4340/5278] eta: 0:45:31 lr: 2.940612905175187e-05 loss: 0.0703 (0.0852) loss_seg: 0.0701 (0.0847) loss_lansim: 0.0326 (0.0472) loss_contra: 0.0003 (0.0057) time: 2.8218 data: 0.0057 max mem: 31630 Epoch: [17] [4350/5278] eta: 0:45:02 lr: 2.9403868056373763e-05 loss: 0.0703 (0.0852) loss_seg: 0.0701 (0.0847) loss_lansim: 0.0327 (0.0472) loss_contra: 0.0003 (0.0057) time: 2.8204 data: 0.0057 max mem: 31630 Epoch: [17] [4360/5278] eta: 0:44:33 lr: 2.9401607041677913e-05 loss: 0.0682 (0.0852) loss_seg: 0.0680 (0.0846) loss_lansim: 0.0333 (0.0471) loss_contra: 0.0003 (0.0057) time: 2.8274 data: 0.0057 max mem: 31630 Epoch: [17] [4370/5278] eta: 0:44:03 lr: 2.9399346007662532e-05 loss: 0.0682 (0.0851) loss_seg: 0.0680 (0.0846) loss_lansim: 0.0331 (0.0471) loss_contra: 0.0003 (0.0057) time: 2.8370 data: 0.0058 max mem: 31630 Epoch: [17] [4380/5278] eta: 0:43:34 lr: 2.9397084954325784e-05 loss: 0.0703 (0.0851) loss_seg: 0.0701 (0.0846) loss_lansim: 0.0327 (0.0471) loss_contra: 0.0003 (0.0057) time: 2.8421 data: 0.0058 max mem: 31630 Epoch: [17] [4390/5278] eta: 0:43:05 lr: 2.9394823881665856e-05 loss: 0.0734 (0.0851) loss_seg: 0.0730 (0.0846) loss_lansim: 0.0330 (0.0470) loss_contra: 0.0003 (0.0057) time: 2.8481 data: 0.0058 max mem: 31630 Epoch: [17] [4400/5278] eta: 0:42:36 lr: 2.9392562789680943e-05 loss: 0.0683 (0.0850) loss_seg: 0.0680 (0.0845) loss_lansim: 0.0330 (0.0470) loss_contra: 0.0003 (0.0057) time: 2.8470 data: 0.0059 max mem: 31630 Epoch: [17] [4410/5278] eta: 0:42:06 lr: 2.9390301678369207e-05 loss: 0.0698 (0.0850) loss_seg: 0.0694 (0.0845) loss_lansim: 0.0331 (0.0470) loss_contra: 0.0003 (0.0057) time: 2.8468 data: 0.0060 max mem: 31630 Epoch: [17] [4420/5278] eta: 0:41:37 lr: 2.9388040547728844e-05 loss: 0.0698 (0.0851) loss_seg: 0.0694 (0.0845) loss_lansim: 0.0331 (0.0469) loss_contra: 0.0003 (0.0057) time: 2.8470 data: 0.0061 max mem: 31630 Epoch: [17] [4430/5278] eta: 0:41:08 lr: 2.9385779397758044e-05 loss: 0.0698 (0.0851) loss_seg: 0.0694 (0.0846) loss_lansim: 0.0331 (0.0469) loss_contra: 0.0003 (0.0057) time: 2.8476 data: 0.0061 max mem: 31630 Epoch: [17] [4440/5278] eta: 0:40:39 lr: 2.938351822845497e-05 loss: 0.0706 (0.0851) loss_seg: 0.0703 (0.0845) loss_lansim: 0.0331 (0.0469) loss_contra: 0.0003 (0.0057) time: 2.8436 data: 0.0062 max mem: 31630 Epoch: [17] [4450/5278] eta: 0:40:09 lr: 2.9381257039817818e-05 loss: 0.0706 (0.0851) loss_seg: 0.0703 (0.0845) loss_lansim: 0.0325 (0.0468) loss_contra: 0.0004 (0.0057) time: 2.8426 data: 0.0062 max mem: 31630 Epoch: [17] [4460/5278] eta: 0:39:40 lr: 2.9378995831844763e-05 loss: 0.0724 (0.0851) loss_seg: 0.0720 (0.0846) loss_lansim: 0.0330 (0.0468) loss_contra: 0.0004 (0.0057) time: 2.8346 data: 0.0063 max mem: 31630 Epoch: [17] [4470/5278] eta: 0:39:11 lr: 2.9376734604533983e-05 loss: 0.0727 (0.0851) loss_seg: 0.0723 (0.0845) loss_lansim: 0.0332 (0.0468) loss_contra: 0.0005 (0.0058) time: 2.8261 data: 0.0064 max mem: 31630 Epoch: [17] [4480/5278] eta: 0:38:41 lr: 2.9374473357883676e-05 loss: 0.0726 (0.0851) loss_seg: 0.0720 (0.0845) loss_lansim: 0.0332 (0.0468) loss_contra: 0.0006 (0.0058) time: 2.8209 data: 0.0064 max mem: 31630 Epoch: [17] [4490/5278] eta: 0:38:12 lr: 2.9372212091891998e-05 loss: 0.0724 (0.0850) loss_seg: 0.0720 (0.0845) loss_lansim: 0.0332 (0.0467) loss_contra: 0.0007 (0.0058) time: 2.8152 data: 0.0064 max mem: 31630 Epoch: [17] [4500/5278] eta: 0:37:43 lr: 2.9369950806557144e-05 loss: 0.0742 (0.0850) loss_seg: 0.0738 (0.0845) loss_lansim: 0.0332 (0.0467) loss_contra: 0.0006 (0.0058) time: 2.8150 data: 0.0064 max mem: 31630 Epoch: [17] [4510/5278] eta: 0:37:14 lr: 2.9367689501877297e-05 loss: 0.0727 (0.0850) loss_seg: 0.0723 (0.0845) loss_lansim: 0.0331 (0.0467) loss_contra: 0.0006 (0.0057) time: 2.8102 data: 0.0064 max mem: 31630 Epoch: [17] [4520/5278] eta: 0:36:44 lr: 2.936542817785062e-05 loss: 0.0724 (0.0850) loss_seg: 0.0720 (0.0845) loss_lansim: 0.0333 (0.0466) loss_contra: 0.0006 (0.0057) time: 2.8053 data: 0.0064 max mem: 31630 Epoch: [17] [4530/5278] eta: 0:36:15 lr: 2.936316683447531e-05 loss: 0.0727 (0.0850) loss_seg: 0.0723 (0.0845) loss_lansim: 0.0337 (0.0466) loss_contra: 0.0006 (0.0057) time: 2.8054 data: 0.0063 max mem: 31630 Epoch: [17] [4540/5278] eta: 0:35:46 lr: 2.9360905471749534e-05 loss: 0.0744 (0.0850) loss_seg: 0.0741 (0.0845) loss_lansim: 0.0337 (0.0466) loss_contra: 0.0006 (0.0057) time: 2.8081 data: 0.0063 max mem: 31630 Epoch: [17] [4550/5278] eta: 0:35:17 lr: 2.9358644089671472e-05 loss: 0.0748 (0.0850) loss_seg: 0.0744 (0.0845) loss_lansim: 0.0340 (0.0466) loss_contra: 0.0006 (0.0057) time: 2.8104 data: 0.0062 max mem: 31630 Epoch: [17] [4560/5278] eta: 0:34:47 lr: 2.9356382688239308e-05 loss: 0.0732 (0.0850) loss_seg: 0.0729 (0.0845) loss_lansim: 0.0340 (0.0465) loss_contra: 0.0006 (0.0057) time: 2.8112 data: 0.0061 max mem: 31630 Epoch: [17] [4570/5278] eta: 0:34:18 lr: 2.9354121267451214e-05 loss: 0.0748 (0.0850) loss_seg: 0.0744 (0.0845) loss_lansim: 0.0341 (0.0465) loss_contra: 0.0005 (0.0057) time: 2.8133 data: 0.0061 max mem: 31630 Epoch: [17] [4580/5278] eta: 0:33:49 lr: 2.935185982730537e-05 loss: 0.0774 (0.0850) loss_seg: 0.0770 (0.0845) loss_lansim: 0.0344 (0.0465) loss_contra: 0.0004 (0.0057) time: 2.8163 data: 0.0061 max mem: 31630 Epoch: [17] [4590/5278] eta: 0:33:20 lr: 2.9349598367799956e-05 loss: 0.0795 (0.0851) loss_seg: 0.0791 (0.0845) loss_lansim: 0.0352 (0.0465) loss_contra: 0.0004 (0.0057) time: 2.8219 data: 0.0060 max mem: 31630 Epoch: [17] [4600/5278] eta: 0:32:51 lr: 2.934733688893314e-05 loss: 0.0804 (0.0851) loss_seg: 0.0801 (0.0845) loss_lansim: 0.0356 (0.0465) loss_contra: 0.0006 (0.0057) time: 2.8204 data: 0.0060 max mem: 31630 Epoch: [17] [4610/5278] eta: 0:32:21 lr: 2.9345075390703115e-05 loss: 0.0808 (0.0850) loss_seg: 0.0803 (0.0845) loss_lansim: 0.0358 (0.0464) loss_contra: 0.0007 (0.0057) time: 2.8283 data: 0.0061 max mem: 31630 Epoch: [17] [4620/5278] eta: 0:31:52 lr: 2.934281387310804e-05 loss: 0.0813 (0.0850) loss_seg: 0.0809 (0.0845) loss_lansim: 0.0359 (0.0464) loss_contra: 0.0007 (0.0058) time: 2.8304 data: 0.0061 max mem: 31630 Epoch: [17] [4630/5278] eta: 0:31:23 lr: 2.9340552336146093e-05 loss: 0.0808 (0.0850) loss_seg: 0.0803 (0.0845) loss_lansim: 0.0365 (0.0464) loss_contra: 0.0008 (0.0058) time: 2.8310 data: 0.0061 max mem: 31630 Epoch: [17] [4640/5278] eta: 0:30:54 lr: 2.9338290779815458e-05 loss: 0.0795 (0.0850) loss_seg: 0.0791 (0.0845) loss_lansim: 0.0367 (0.0464) loss_contra: 0.0008 (0.0057) time: 2.8312 data: 0.0061 max mem: 31630 Epoch: [17] [4650/5278] eta: 0:30:25 lr: 2.9336029204114297e-05 loss: 0.0790 (0.0850) loss_seg: 0.0786 (0.0844) loss_lansim: 0.0363 (0.0464) loss_contra: 0.0011 (0.0057) time: 2.8299 data: 0.0061 max mem: 31630 Epoch: [17] [4660/5278] eta: 0:29:56 lr: 2.933376760904081e-05 loss: 0.0790 (0.0849) loss_seg: 0.0786 (0.0844) loss_lansim: 0.0367 (0.0463) loss_contra: 0.0011 (0.0057) time: 2.8285 data: 0.0061 max mem: 31630 Epoch: [17] [4670/5278] eta: 0:29:26 lr: 2.933150599459314e-05 loss: 0.0756 (0.0849) loss_seg: 0.0753 (0.0844) loss_lansim: 0.0370 (0.0463) loss_contra: 0.0011 (0.0057) time: 2.8305 data: 0.0061 max mem: 31630 Epoch: [17] [4680/5278] eta: 0:28:57 lr: 2.932924436076948e-05 loss: 0.0719 (0.0849) loss_seg: 0.0715 (0.0844) loss_lansim: 0.0372 (0.0463) loss_contra: 0.0011 (0.0057) time: 2.8310 data: 0.0061 max mem: 31630 Epoch: [17] [4690/5278] eta: 0:28:28 lr: 2.9326982707568003e-05 loss: 0.0698 (0.0849) loss_seg: 0.0694 (0.0844) loss_lansim: 0.0367 (0.0463) loss_contra: 0.0011 (0.0057) time: 2.8262 data: 0.0060 max mem: 31630 Epoch: [17] [4700/5278] eta: 0:27:59 lr: 2.932472103498688e-05 loss: 0.0700 (0.0849) loss_seg: 0.0696 (0.0844) loss_lansim: 0.0368 (0.0463) loss_contra: 0.0010 (0.0057) time: 2.8320 data: 0.0061 max mem: 31630 Epoch: [17] [4710/5278] eta: 0:27:30 lr: 2.9322459343024278e-05 loss: 0.0702 (0.0850) loss_seg: 0.0698 (0.0844) loss_lansim: 0.0368 (0.0463) loss_contra: 0.0008 (0.0057) time: 2.8320 data: 0.0060 max mem: 31630 Epoch: [17] [4720/5278] eta: 0:27:01 lr: 2.932019763167838e-05 loss: 0.0716 (0.0850) loss_seg: 0.0711 (0.0845) loss_lansim: 0.0368 (0.0462) loss_contra: 0.0007 (0.0057) time: 2.8393 data: 0.0060 max mem: 31630 Epoch: [17] [4730/5278] eta: 0:26:32 lr: 2.9317935900947345e-05 loss: 0.0710 (0.0850) loss_seg: 0.0706 (0.0844) loss_lansim: 0.0367 (0.0462) loss_contra: 0.0008 (0.0057) time: 2.8461 data: 0.0060 max mem: 31630 Epoch: [17] [4740/5278] eta: 0:26:03 lr: 2.9315674150829368e-05 loss: 0.0727 (0.0850) loss_seg: 0.0723 (0.0844) loss_lansim: 0.0368 (0.0462) loss_contra: 0.0008 (0.0057) time: 2.8456 data: 0.0060 max mem: 31630 Epoch: [17] [4750/5278] eta: 0:25:34 lr: 2.9313412381322604e-05 loss: 0.0716 (0.0849) loss_seg: 0.0711 (0.0844) loss_lansim: 0.0372 (0.0462) loss_contra: 0.0006 (0.0057) time: 2.8551 data: 0.0060 max mem: 31630 Epoch: [17] [4760/5278] eta: 0:25:04 lr: 2.931115059242522e-05 loss: 0.0727 (0.0849) loss_seg: 0.0723 (0.0844) loss_lansim: 0.0376 (0.0462) loss_contra: 0.0007 (0.0057) time: 2.8582 data: 0.0059 max mem: 31630 Epoch: [17] [4770/5278] eta: 0:24:35 lr: 2.93088887841354e-05 loss: 0.0722 (0.0849) loss_seg: 0.0716 (0.0843) loss_lansim: 0.0376 (0.0462) loss_contra: 0.0006 (0.0057) time: 2.8608 data: 0.0059 max mem: 31630 Epoch: [17] [4780/5278] eta: 0:24:06 lr: 2.930662695645131e-05 loss: 0.0717 (0.0848) loss_seg: 0.0712 (0.0843) loss_lansim: 0.0368 (0.0461) loss_contra: 0.0007 (0.0057) time: 2.8685 data: 0.0059 max mem: 31630 Epoch: [17] [4790/5278] eta: 0:23:37 lr: 2.9304365109371118e-05 loss: 0.0722 (0.0849) loss_seg: 0.0716 (0.0844) loss_lansim: 0.0372 (0.0461) loss_contra: 0.0007 (0.0057) time: 2.8750 data: 0.0059 max mem: 31630 Epoch: [17] [4800/5278] eta: 0:23:08 lr: 2.9302103242893003e-05 loss: 0.0727 (0.0849) loss_seg: 0.0723 (0.0844) loss_lansim: 0.0372 (0.0461) loss_contra: 0.0007 (0.0057) time: 2.8789 data: 0.0058 max mem: 31630 Epoch: [17] [4810/5278] eta: 0:22:39 lr: 2.9299841357015113e-05 loss: 0.0727 (0.0849) loss_seg: 0.0723 (0.0844) loss_lansim: 0.0368 (0.0461) loss_contra: 0.0007 (0.0057) time: 2.8838 data: 0.0058 max mem: 31630 Epoch: [17] [4820/5278] eta: 0:22:10 lr: 2.9297579451735645e-05 loss: 0.0727 (0.0849) loss_seg: 0.0723 (0.0844) loss_lansim: 0.0361 (0.0460) loss_contra: 0.0008 (0.0057) time: 2.8771 data: 0.0058 max mem: 31630 Epoch: [17] [4830/5278] eta: 0:21:41 lr: 2.9295317527052757e-05 loss: 0.0743 (0.0849) loss_seg: 0.0738 (0.0844) loss_lansim: 0.0360 (0.0460) loss_contra: 0.0006 (0.0057) time: 2.8714 data: 0.0057 max mem: 31630 Epoch: [17] [4840/5278] eta: 0:21:12 lr: 2.929305558296461e-05 loss: 0.0734 (0.0849) loss_seg: 0.0731 (0.0844) loss_lansim: 0.0355 (0.0460) loss_contra: 0.0006 (0.0057) time: 2.8651 data: 0.0057 max mem: 31630 Epoch: [17] [4850/5278] eta: 0:20:43 lr: 2.9290793619469386e-05 loss: 0.0755 (0.0849) loss_seg: 0.0751 (0.0844) loss_lansim: 0.0354 (0.0460) loss_contra: 0.0006 (0.0057) time: 2.8504 data: 0.0057 max mem: 31630 Epoch: [17] [4860/5278] eta: 0:20:13 lr: 2.928853163656524e-05 loss: 0.0768 (0.0849) loss_seg: 0.0754 (0.0844) loss_lansim: 0.0348 (0.0460) loss_contra: 0.0005 (0.0057) time: 2.8359 data: 0.0056 max mem: 31630 Epoch: [17] [4870/5278] eta: 0:19:44 lr: 2.9286269634250352e-05 loss: 0.0771 (0.0849) loss_seg: 0.0765 (0.0844) loss_lansim: 0.0345 (0.0459) loss_contra: 0.0006 (0.0057) time: 2.8149 data: 0.0056 max mem: 31630 Epoch: [17] [4880/5278] eta: 0:19:15 lr: 2.9284007612522886e-05 loss: 0.0791 (0.0849) loss_seg: 0.0786 (0.0844) loss_lansim: 0.0342 (0.0459) loss_contra: 0.0007 (0.0057) time: 2.7961 data: 0.0055 max mem: 31630 Epoch: [17] [4890/5278] eta: 0:18:46 lr: 2.9281745571381004e-05 loss: 0.0774 (0.0849) loss_seg: 0.0768 (0.0844) loss_lansim: 0.0338 (0.0459) loss_contra: 0.0007 (0.0057) time: 2.7763 data: 0.0055 max mem: 31630 Epoch: [17] [4900/5278] eta: 0:18:17 lr: 2.927948351082288e-05 loss: 0.0768 (0.0849) loss_seg: 0.0754 (0.0844) loss_lansim: 0.0332 (0.0458) loss_contra: 0.0006 (0.0057) time: 2.7599 data: 0.0054 max mem: 31630 Epoch: [17] [4910/5278] eta: 0:17:47 lr: 2.9277221430846675e-05 loss: 0.0774 (0.0849) loss_seg: 0.0768 (0.0844) loss_lansim: 0.0326 (0.0458) loss_contra: 0.0006 (0.0057) time: 2.7396 data: 0.0054 max mem: 31630 Epoch: [17] [4920/5278] eta: 0:17:18 lr: 2.9274959331450553e-05 loss: 0.0756 (0.0849) loss_seg: 0.0753 (0.0844) loss_lansim: 0.0328 (0.0458) loss_contra: 0.0007 (0.0057) time: 2.7316 data: 0.0053 max mem: 31630 Epoch: [17] [4930/5278] eta: 0:16:49 lr: 2.9272697212632687e-05 loss: 0.0749 (0.0849) loss_seg: 0.0745 (0.0844) loss_lansim: 0.0325 (0.0458) loss_contra: 0.0007 (0.0057) time: 2.7189 data: 0.0053 max mem: 31630 Epoch: [17] [4940/5278] eta: 0:16:20 lr: 2.927043507439124e-05 loss: 0.0749 (0.0849) loss_seg: 0.0745 (0.0844) loss_lansim: 0.0326 (0.0457) loss_contra: 0.0006 (0.0057) time: 2.7074 data: 0.0053 max mem: 31630 Epoch: [17] [4950/5278] eta: 0:15:51 lr: 2.9268172916724377e-05 loss: 0.0747 (0.0849) loss_seg: 0.0743 (0.0843) loss_lansim: 0.0326 (0.0457) loss_contra: 0.0009 (0.0057) time: 2.7043 data: 0.0052 max mem: 31630 Epoch: [17] [4960/5278] eta: 0:15:22 lr: 2.9265910739630265e-05 loss: 0.0739 (0.0848) loss_seg: 0.0733 (0.0843) loss_lansim: 0.0327 (0.0457) loss_contra: 0.0009 (0.0057) time: 2.7007 data: 0.0052 max mem: 31630 Epoch: [17] [4970/5278] eta: 0:14:52 lr: 2.9263648543107063e-05 loss: 0.0735 (0.0848) loss_seg: 0.0731 (0.0843) loss_lansim: 0.0327 (0.0457) loss_contra: 0.0006 (0.0057) time: 2.7031 data: 0.0053 max mem: 31630 Epoch: [17] [4980/5278] eta: 0:14:23 lr: 2.9261386327152946e-05 loss: 0.0742 (0.0849) loss_seg: 0.0739 (0.0844) loss_lansim: 0.0329 (0.0457) loss_contra: 0.0006 (0.0057) time: 2.6992 data: 0.0053 max mem: 31630 Epoch: [17] [4990/5278] eta: 0:13:54 lr: 2.9259124091766067e-05 loss: 0.0747 (0.0849) loss_seg: 0.0743 (0.0844) loss_lansim: 0.0334 (0.0456) loss_contra: 0.0005 (0.0057) time: 2.7017 data: 0.0053 max mem: 31630 Epoch: [17] [5000/5278] eta: 0:13:25 lr: 2.925686183694459e-05 loss: 0.0756 (0.0849) loss_seg: 0.0753 (0.0844) loss_lansim: 0.0332 (0.0456) loss_contra: 0.0005 (0.0057) time: 2.6960 data: 0.0053 max mem: 31630 Epoch: [17] [5010/5278] eta: 0:12:56 lr: 2.9254599562686684e-05 loss: 0.0749 (0.0849) loss_seg: 0.0745 (0.0844) loss_lansim: 0.0334 (0.0456) loss_contra: 0.0006 (0.0057) time: 2.6959 data: 0.0053 max mem: 31630 Epoch: [17] [5020/5278] eta: 0:12:27 lr: 2.925233726899051e-05 loss: 0.0754 (0.0849) loss_seg: 0.0750 (0.0844) loss_lansim: 0.0332 (0.0456) loss_contra: 0.0007 (0.0057) time: 2.6940 data: 0.0053 max mem: 31630 Epoch: [17] [5030/5278] eta: 0:11:58 lr: 2.9250074955854233e-05 loss: 0.0754 (0.0849) loss_seg: 0.0750 (0.0844) loss_lansim: 0.0334 (0.0455) loss_contra: 0.0007 (0.0057) time: 2.6904 data: 0.0053 max mem: 31630 Epoch: [17] [5040/5278] eta: 0:11:29 lr: 2.9247812623276005e-05 loss: 0.0755 (0.0849) loss_seg: 0.0752 (0.0844) loss_lansim: 0.0334 (0.0455) loss_contra: 0.0007 (0.0057) time: 2.6970 data: 0.0053 max mem: 31630 Epoch: [17] [5050/5278] eta: 0:11:00 lr: 2.9245550271254e-05 loss: 0.0757 (0.0849) loss_seg: 0.0753 (0.0844) loss_lansim: 0.0334 (0.0455) loss_contra: 0.0007 (0.0057) time: 2.6917 data: 0.0053 max mem: 31630 Epoch: [17] [5060/5278] eta: 0:10:31 lr: 2.9243287899786382e-05 loss: 0.0812 (0.0848) loss_seg: 0.0798 (0.0843) loss_lansim: 0.0334 (0.0455) loss_contra: 0.0007 (0.0057) time: 2.6988 data: 0.0053 max mem: 31630 Epoch: [17] [5070/5278] eta: 0:10:02 lr: 2.9241025508871294e-05 loss: 0.0820 (0.0849) loss_seg: 0.0814 (0.0843) loss_lansim: 0.0334 (0.0455) loss_contra: 0.0008 (0.0057) time: 2.6995 data: 0.0053 max mem: 31630 Epoch: [17] [5080/5278] eta: 0:09:33 lr: 2.9238763098506917e-05 loss: 0.0769 (0.0848) loss_seg: 0.0766 (0.0843) loss_lansim: 0.0334 (0.0454) loss_contra: 0.0008 (0.0057) time: 2.7025 data: 0.0053 max mem: 31630 Epoch: [17] [5090/5278] eta: 0:09:04 lr: 2.9236500668691397e-05 loss: 0.0755 (0.0848) loss_seg: 0.0752 (0.0843) loss_lansim: 0.0334 (0.0454) loss_contra: 0.0011 (0.0058) time: 2.7007 data: 0.0053 max mem: 31630 Epoch: [17] [5100/5278] eta: 0:08:35 lr: 2.9234238219422905e-05 loss: 0.0752 (0.0848) loss_seg: 0.0747 (0.0843) loss_lansim: 0.0337 (0.0454) loss_contra: 0.0010 (0.0058) time: 2.7002 data: 0.0053 max mem: 31630 Epoch: [17] [5110/5278] eta: 0:08:06 lr: 2.9231975750699598e-05 loss: 0.0734 (0.0848) loss_seg: 0.0731 (0.0843) loss_lansim: 0.0336 (0.0454) loss_contra: 0.0010 (0.0058) time: 2.7018 data: 0.0053 max mem: 31630 Epoch: [17] [5120/5278] eta: 0:07:37 lr: 2.9229713262519625e-05 loss: 0.0750 (0.0848) loss_seg: 0.0746 (0.0843) loss_lansim: 0.0339 (0.0453) loss_contra: 0.0010 (0.0058) time: 2.6978 data: 0.0053 max mem: 31630 Epoch: [17] [5130/5278] eta: 0:07:08 lr: 2.9227450754881157e-05 loss: 0.0750 (0.0849) loss_seg: 0.0746 (0.0843) loss_lansim: 0.0341 (0.0453) loss_contra: 0.0010 (0.0058) time: 2.7001 data: 0.0053 max mem: 31630 Epoch: [17] [5140/5278] eta: 0:06:39 lr: 2.922518822778236e-05 loss: 0.0750 (0.0849) loss_seg: 0.0746 (0.0844) loss_lansim: 0.0341 (0.0453) loss_contra: 0.0015 (0.0058) time: 2.6930 data: 0.0053 max mem: 31630 Epoch: [17] [5150/5278] eta: 0:06:10 lr: 2.922292568122137e-05 loss: 0.0756 (0.0849) loss_seg: 0.0752 (0.0843) loss_lansim: 0.0341 (0.0453) loss_contra: 0.0021 (0.0058) time: 2.6922 data: 0.0053 max mem: 31630 Epoch: [17] [5160/5278] eta: 0:05:41 lr: 2.9220663115196367e-05 loss: 0.0757 (0.0848) loss_seg: 0.0752 (0.0843) loss_lansim: 0.0342 (0.0453) loss_contra: 0.0011 (0.0058) time: 2.6866 data: 0.0053 max mem: 31630 Epoch: [17] [5170/5278] eta: 0:05:12 lr: 2.9218400529705492e-05 loss: 0.0757 (0.0849) loss_seg: 0.0752 (0.0844) loss_lansim: 0.0342 (0.0453) loss_contra: 0.0010 (0.0058) time: 2.6826 data: 0.0053 max mem: 31630 Epoch: [17] [5180/5278] eta: 0:04:43 lr: 2.9216137924746917e-05 loss: 0.0761 (0.0849) loss_seg: 0.0758 (0.0844) loss_lansim: 0.0346 (0.0452) loss_contra: 0.0011 (0.0058) time: 2.6842 data: 0.0053 max mem: 31630 Epoch: [17] [5190/5278] eta: 0:04:14 lr: 2.9213875300318794e-05 loss: 0.0761 (0.0849) loss_seg: 0.0756 (0.0843) loss_lansim: 0.0349 (0.0452) loss_contra: 0.0009 (0.0058) time: 2.6837 data: 0.0053 max mem: 31630 Epoch: [17] [5200/5278] eta: 0:03:45 lr: 2.9211612656419275e-05 loss: 0.0770 (0.0849) loss_seg: 0.0766 (0.0844) loss_lansim: 0.0353 (0.0452) loss_contra: 0.0010 (0.0058) time: 2.6894 data: 0.0053 max mem: 31630 Epoch: [17] [5210/5278] eta: 0:03:16 lr: 2.920934999304652e-05 loss: 0.0787 (0.0849) loss_seg: 0.0784 (0.0844) loss_lansim: 0.0355 (0.0452) loss_contra: 0.0009 (0.0058) time: 2.6878 data: 0.0053 max mem: 31630 Epoch: [17] [5220/5278] eta: 0:02:47 lr: 2.9207087310198693e-05 loss: 0.0787 (0.0849) loss_seg: 0.0784 (0.0844) loss_lansim: 0.0358 (0.0452) loss_contra: 0.0009 (0.0058) time: 2.6920 data: 0.0053 max mem: 31630 Epoch: [17] [5230/5278] eta: 0:02:18 lr: 2.920482460787393e-05 loss: 0.0786 (0.0849) loss_seg: 0.0782 (0.0844) loss_lansim: 0.0367 (0.0452) loss_contra: 0.0009 (0.0058) time: 2.6930 data: 0.0053 max mem: 31630 Epoch: [17] [5240/5278] eta: 0:01:49 lr: 2.9202561886070413e-05 loss: 0.0812 (0.0850) loss_seg: 0.0808 (0.0845) loss_lansim: 0.0370 (0.0452) loss_contra: 0.0007 (0.0058) time: 2.6959 data: 0.0053 max mem: 31630 Epoch: [17] [5250/5278] eta: 0:01:20 lr: 2.9200299144786275e-05 loss: 0.0786 (0.0850) loss_seg: 0.0781 (0.0844) loss_lansim: 0.0371 (0.0451) loss_contra: 0.0007 (0.0058) time: 2.7005 data: 0.0053 max mem: 31630 Epoch: [17] [5260/5278] eta: 0:00:51 lr: 2.9198036384019682e-05 loss: 0.0786 (0.0849) loss_seg: 0.0781 (0.0844) loss_lansim: 0.0373 (0.0451) loss_contra: 0.0006 (0.0058) time: 2.6984 data: 0.0053 max mem: 31630 Epoch: [17] [5270/5278] eta: 0:00:23 lr: 2.9195773603768793e-05 loss: 0.0786 (0.0850) loss_seg: 0.0781 (0.0844) loss_lansim: 0.0371 (0.0451) loss_contra: 0.0006 (0.0058) time: 2.7021 data: 0.0053 max mem: 31630 Epoch: [17] Total time: 4:14:00 Test: [ 0/2573] eta: 0:58:18 time: 1.3597 data: 1.2071 max mem: 31630 Test: [ 100/2573] eta: 0:06:09 time: 0.1373 data: 0.0013 max mem: 31630 Test: [ 200/2573] eta: 0:05:47 time: 0.1431 data: 0.0014 max mem: 31630 Test: [ 300/2573] eta: 0:05:26 time: 0.1380 data: 0.0014 max mem: 31630 Test: [ 400/2573] eta: 0:05:10 time: 0.1411 data: 0.0014 max mem: 31630 Test: [ 500/2573] eta: 0:04:55 time: 0.1419 data: 0.0013 max mem: 31630 Test: [ 600/2573] eta: 0:04:41 time: 0.1435 data: 0.0014 max mem: 31630 Test: [ 700/2573] eta: 0:04:28 time: 0.1472 data: 0.0014 max mem: 31630 Test: [ 800/2573] eta: 0:04:14 time: 0.1444 data: 0.0014 max mem: 31630 Test: [ 900/2573] eta: 0:04:00 time: 0.1445 data: 0.0014 max mem: 31630 Test: [1000/2573] eta: 0:03:45 time: 0.1431 data: 0.0014 max mem: 31630 Test: [1100/2573] eta: 0:03:31 time: 0.1423 data: 0.0014 max mem: 31630 Test: [1200/2573] eta: 0:03:17 time: 0.1446 data: 0.0014 max mem: 31630 Test: [1300/2573] eta: 0:03:02 time: 0.1432 data: 0.0013 max mem: 31630 Test: [1400/2573] eta: 0:02:48 time: 0.1395 data: 0.0014 max mem: 31630 Test: [1500/2573] eta: 0:02:33 time: 0.1434 data: 0.0015 max mem: 31630 Test: [1600/2573] eta: 0:02:19 time: 0.1430 data: 0.0015 max mem: 31630 Test: [1700/2573] eta: 0:02:05 time: 0.1443 data: 0.0014 max mem: 31630 Test: [1800/2573] eta: 0:01:50 time: 0.1417 data: 0.0014 max mem: 31630 Test: [1900/2573] eta: 0:01:36 time: 0.1402 data: 0.0014 max mem: 31630 Test: [2000/2573] eta: 0:01:21 time: 0.1399 data: 0.0014 max mem: 31630 Test: [2100/2573] eta: 0:01:07 time: 0.1429 data: 0.0014 max mem: 31630 Test: [2200/2573] eta: 0:00:53 time: 0.1378 data: 0.0013 max mem: 31630 Test: [2300/2573] eta: 0:00:38 time: 0.1430 data: 0.0014 max mem: 31630 Test: [2400/2573] eta: 0:00:24 time: 0.1409 data: 0.0014 max mem: 31630 Test: [2500/2573] eta: 0:00:10 time: 0.1429 data: 0.0014 max mem: 31630 Test: Total time: 0:06:07 Final results: precision@0.5 = 67.14 precision@0.6 = 61.03 precision@0.7 = 53.62 precision@0.8 = 41.05 precision@0.9 = 18.63 overall IoU = 56.65 mean IoU = 59.25 Epoch: [18] [ 0/5278] eta: 6:16:36 lr: 2.919396336553814e-05 loss: 0.0461 (0.0461) loss_seg: 0.0455 (0.0455) loss_lansim: 0.0372 (0.0372) loss_contra: 0.0173 (0.0173) time: 4.2812 data: 1.4202 max mem: 31630 Epoch: [18] [ 10/5278] eta: 4:10:53 lr: 2.9191700550210844e-05 loss: 0.0679 (0.0687) loss_seg: 0.0675 (0.0683) loss_lansim: 0.0390 (0.0383) loss_contra: 0.0007 (0.0066) time: 2.8576 data: 0.1337 max mem: 31630 Epoch: [18] [ 20/5278] eta: 4:03:28 lr: 2.9189437715394086e-05 loss: 0.0715 (0.0707) loss_seg: 0.0711 (0.0702) loss_lansim: 0.0375 (0.0385) loss_contra: 0.0005 (0.0055) time: 2.7784 data: 0.0727 max mem: 31630 Epoch: [18] [ 30/5278] eta: 4:01:55 lr: 2.9187174861086003e-05 loss: 0.0711 (0.0738) loss_seg: 0.0707 (0.0734) loss_lansim: 0.0375 (0.0389) loss_contra: 0.0004 (0.0044) time: 2.7660 data: 0.0511 max mem: 31630 Epoch: [18] [ 40/5278] eta: 3:59:35 lr: 2.9184911987284757e-05 loss: 0.0662 (0.0720) loss_seg: 0.0656 (0.0716) loss_lansim: 0.0390 (0.0398) loss_contra: 0.0004 (0.0043) time: 2.7445 data: 0.0400 max mem: 31630 Epoch: [18] [ 50/5278] eta: 3:58:48 lr: 2.9182649093988502e-05 loss: 0.0662 (0.0722) loss_seg: 0.0656 (0.0717) loss_lansim: 0.0393 (0.0399) loss_contra: 0.0002 (0.0044) time: 2.7407 data: 0.0333 max mem: 31630 Epoch: [18] [ 60/5278] eta: 3:57:10 lr: 2.9180386181195385e-05 loss: 0.0711 (0.0740) loss_seg: 0.0706 (0.0735) loss_lansim: 0.0394 (0.0401) loss_contra: 0.0002 (0.0039) time: 2.7272 data: 0.0288 max mem: 31630 Epoch: [18] [ 70/5278] eta: 3:56:15 lr: 2.917812324890356e-05 loss: 0.0707 (0.0738) loss_seg: 0.0704 (0.0733) loss_lansim: 0.0394 (0.0401) loss_contra: 0.0004 (0.0039) time: 2.7218 data: 0.0256 max mem: 31630 Epoch: [18] [ 80/5278] eta: 3:55:31 lr: 2.9175860297111176e-05 loss: 0.0709 (0.0754) loss_seg: 0.0704 (0.0750) loss_lansim: 0.0395 (0.0401) loss_contra: 0.0003 (0.0035) time: 2.7186 data: 0.0232 max mem: 31630 Epoch: [18] [ 90/5278] eta: 3:54:38 lr: 2.9173597325816386e-05 loss: 0.0707 (0.0767) loss_seg: 0.0704 (0.0763) loss_lansim: 0.0400 (0.0405) loss_contra: 0.0002 (0.0032) time: 2.7136 data: 0.0213 max mem: 31630 Epoch: [18] [ 100/5278] eta: 3:54:19 lr: 2.9171334335017353e-05 loss: 0.0707 (0.0758) loss_seg: 0.0704 (0.0754) loss_lansim: 0.0401 (0.0407) loss_contra: 0.0003 (0.0030) time: 2.6996 data: 0.0058 max mem: 31630 Epoch: [18] [ 110/5278] eta: 3:53:31 lr: 2.9169071324712204e-05 loss: 0.0709 (0.0764) loss_seg: 0.0704 (0.0759) loss_lansim: 0.0408 (0.0409) loss_contra: 0.0003 (0.0030) time: 2.6952 data: 0.0059 max mem: 31630 Epoch: [18] [ 120/5278] eta: 3:52:58 lr: 2.916680829489911e-05 loss: 0.0690 (0.0773) loss_seg: 0.0685 (0.0769) loss_lansim: 0.0414 (0.0411) loss_contra: 0.0003 (0.0031) time: 2.6956 data: 0.0059 max mem: 31630 Epoch: [18] [ 130/5278] eta: 3:52:20 lr: 2.9164545245576215e-05 loss: 0.0690 (0.0781) loss_seg: 0.0685 (0.0777) loss_lansim: 0.0417 (0.0412) loss_contra: 0.0003 (0.0030) time: 2.6901 data: 0.0059 max mem: 31630 Epoch: [18] [ 140/5278] eta: 3:51:55 lr: 2.9162282176741655e-05 loss: 0.0755 (0.0783) loss_seg: 0.0752 (0.0779) loss_lansim: 0.0417 (0.0412) loss_contra: 0.0003 (0.0030) time: 2.6935 data: 0.0059 max mem: 31630 Epoch: [18] [ 150/5278] eta: 3:51:25 lr: 2.9160019088393604e-05 loss: 0.0727 (0.0779) loss_seg: 0.0721 (0.0775) loss_lansim: 0.0419 (0.0413) loss_contra: 0.0004 (0.0028) time: 2.6910 data: 0.0059 max mem: 31630 Epoch: [18] [ 160/5278] eta: 3:50:51 lr: 2.9157755980530192e-05 loss: 0.0695 (0.0778) loss_seg: 0.0691 (0.0774) loss_lansim: 0.0420 (0.0414) loss_contra: 0.0004 (0.0027) time: 2.6936 data: 0.0058 max mem: 31630 Epoch: [18] [ 170/5278] eta: 3:50:18 lr: 2.9155492853149572e-05 loss: 0.0677 (0.0770) loss_seg: 0.0672 (0.0766) loss_lansim: 0.0420 (0.0414) loss_contra: 0.0003 (0.0027) time: 2.6935 data: 0.0058 max mem: 31630 Epoch: [18] [ 180/5278] eta: 3:49:39 lr: 2.915322970624991e-05 loss: 0.0677 (0.0776) loss_seg: 0.0672 (0.0772) loss_lansim: 0.0420 (0.0416) loss_contra: 0.0004 (0.0027) time: 2.6901 data: 0.0058 max mem: 31630 Epoch: [18] [ 190/5278] eta: 3:49:16 lr: 2.9150966539829323e-05 loss: 0.0673 (0.0766) loss_seg: 0.0669 (0.0761) loss_lansim: 0.0420 (0.0416) loss_contra: 0.0004 (0.0027) time: 2.6947 data: 0.0057 max mem: 31630 Epoch: [18] [ 200/5278] eta: 3:48:46 lr: 2.9148703353885977e-05 loss: 0.0695 (0.0773) loss_seg: 0.0691 (0.0769) loss_lansim: 0.0419 (0.0417) loss_contra: 0.0004 (0.0027) time: 2.6910 data: 0.0057 max mem: 31630 Epoch: [18] [ 210/5278] eta: 3:48:19 lr: 2.914644014841802e-05 loss: 0.0692 (0.0775) loss_seg: 0.0687 (0.0770) loss_lansim: 0.0417 (0.0417) loss_contra: 0.0004 (0.0027) time: 2.6941 data: 0.0057 max mem: 31630 Epoch: [18] [ 220/5278] eta: 3:47:43 lr: 2.914417692342358e-05 loss: 0.0706 (0.0774) loss_seg: 0.0702 (0.0769) loss_lansim: 0.0417 (0.0417) loss_contra: 0.0004 (0.0029) time: 2.6910 data: 0.0057 max mem: 31630 Epoch: [18] [ 230/5278] eta: 3:47:07 lr: 2.914191367890084e-05 loss: 0.0726 (0.0774) loss_seg: 0.0719 (0.0770) loss_lansim: 0.0413 (0.0416) loss_contra: 0.0004 (0.0028) time: 2.6886 data: 0.0057 max mem: 31630 Epoch: [18] [ 240/5278] eta: 3:46:41 lr: 2.9139650414847913e-05 loss: 0.0706 (0.0773) loss_seg: 0.0702 (0.0769) loss_lansim: 0.0408 (0.0415) loss_contra: 0.0005 (0.0028) time: 2.6879 data: 0.0057 max mem: 31630 Epoch: [18] [ 250/5278] eta: 3:46:06 lr: 2.9137387131262962e-05 loss: 0.0733 (0.0775) loss_seg: 0.0728 (0.0771) loss_lansim: 0.0406 (0.0414) loss_contra: 0.0004 (0.0027) time: 2.6837 data: 0.0057 max mem: 31630 Epoch: [18] [ 260/5278] eta: 3:45:42 lr: 2.9135123828144127e-05 loss: 0.0733 (0.0776) loss_seg: 0.0728 (0.0772) loss_lansim: 0.0405 (0.0415) loss_contra: 0.0004 (0.0027) time: 2.6864 data: 0.0057 max mem: 31630 Epoch: [18] [ 270/5278] eta: 3:45:12 lr: 2.9132860505489555e-05 loss: 0.0737 (0.0779) loss_seg: 0.0734 (0.0775) loss_lansim: 0.0402 (0.0415) loss_contra: 0.0004 (0.0026) time: 2.6859 data: 0.0057 max mem: 31630 Epoch: [18] [ 280/5278] eta: 3:44:38 lr: 2.9130597163297385e-05 loss: 0.0748 (0.0785) loss_seg: 0.0743 (0.0780) loss_lansim: 0.0398 (0.0414) loss_contra: 0.0004 (0.0026) time: 2.6859 data: 0.0057 max mem: 31630 Epoch: [18] [ 290/5278] eta: 3:44:11 lr: 2.9128333801565778e-05 loss: 0.0751 (0.0782) loss_seg: 0.0746 (0.0777) loss_lansim: 0.0397 (0.0413) loss_contra: 0.0003 (0.0025) time: 2.6837 data: 0.0057 max mem: 31630 Epoch: [18] [ 300/5278] eta: 3:43:36 lr: 2.9126070420292856e-05 loss: 0.0743 (0.0779) loss_seg: 0.0739 (0.0775) loss_lansim: 0.0394 (0.0413) loss_contra: 0.0004 (0.0025) time: 2.6791 data: 0.0057 max mem: 31630 Epoch: [18] [ 310/5278] eta: 3:43:11 lr: 2.912380701947678e-05 loss: 0.0733 (0.0774) loss_seg: 0.0728 (0.0769) loss_lansim: 0.0396 (0.0413) loss_contra: 0.0003 (0.0028) time: 2.6794 data: 0.0056 max mem: 31630 Epoch: [18] [ 320/5278] eta: 3:42:45 lr: 2.9121543599115687e-05 loss: 0.0734 (0.0787) loss_seg: 0.0730 (0.0782) loss_lansim: 0.0396 (0.0413) loss_contra: 0.0003 (0.0028) time: 2.6830 data: 0.0056 max mem: 31630 Epoch: [18] [ 330/5278] eta: 3:42:12 lr: 2.911928015920772e-05 loss: 0.0734 (0.0790) loss_seg: 0.0730 (0.0785) loss_lansim: 0.0394 (0.0413) loss_contra: 0.0003 (0.0028) time: 2.6827 data: 0.0056 max mem: 31630 Epoch: [18] [ 340/5278] eta: 3:41:45 lr: 2.9117016699751027e-05 loss: 0.0747 (0.0791) loss_seg: 0.0743 (0.0787) loss_lansim: 0.0394 (0.0412) loss_contra: 0.0003 (0.0028) time: 2.6816 data: 0.0056 max mem: 31630 Epoch: [18] [ 350/5278] eta: 3:41:14 lr: 2.9114753220743734e-05 loss: 0.0744 (0.0790) loss_seg: 0.0740 (0.0786) loss_lansim: 0.0396 (0.0411) loss_contra: 0.0005 (0.0028) time: 2.6822 data: 0.0055 max mem: 31630 Epoch: [18] [ 360/5278] eta: 3:40:50 lr: 2.911248972218401e-05 loss: 0.0743 (0.0787) loss_seg: 0.0739 (0.0782) loss_lansim: 0.0393 (0.0411) loss_contra: 0.0004 (0.0028) time: 2.6825 data: 0.0055 max mem: 31630 Epoch: [18] [ 370/5278] eta: 3:40:19 lr: 2.911022620406998e-05 loss: 0.0717 (0.0783) loss_seg: 0.0713 (0.0778) loss_lansim: 0.0392 (0.0410) loss_contra: 0.0005 (0.0030) time: 2.6811 data: 0.0055 max mem: 31630 Epoch: [18] [ 380/5278] eta: 3:39:55 lr: 2.9107962666399786e-05 loss: 0.0701 (0.0782) loss_seg: 0.0697 (0.0778) loss_lansim: 0.0396 (0.0410) loss_contra: 0.0005 (0.0030) time: 2.6861 data: 0.0054 max mem: 31630 Epoch: [18] [ 390/5278] eta: 3:39:31 lr: 2.9105699109171575e-05 loss: 0.0700 (0.0778) loss_seg: 0.0696 (0.0774) loss_lansim: 0.0397 (0.0411) loss_contra: 0.0005 (0.0030) time: 2.6881 data: 0.0054 max mem: 31630 Epoch: [18] [ 400/5278] eta: 3:39:00 lr: 2.9103435532383483e-05 loss: 0.0700 (0.0784) loss_seg: 0.0696 (0.0779) loss_lansim: 0.0397 (0.0410) loss_contra: 0.0005 (0.0030) time: 2.6896 data: 0.0055 max mem: 31630 Epoch: [18] [ 410/5278] eta: 3:38:36 lr: 2.910117193603365e-05 loss: 0.0711 (0.0781) loss_seg: 0.0705 (0.0777) loss_lansim: 0.0393 (0.0410) loss_contra: 0.0005 (0.0030) time: 2.6909 data: 0.0055 max mem: 31630 Epoch: [18] [ 420/5278] eta: 3:38:08 lr: 2.9098908320120228e-05 loss: 0.0700 (0.0780) loss_seg: 0.0696 (0.0776) loss_lansim: 0.0393 (0.0410) loss_contra: 0.0003 (0.0030) time: 2.6896 data: 0.0055 max mem: 31630 Epoch: [18] [ 430/5278] eta: 3:37:38 lr: 2.9096644684641334e-05 loss: 0.0679 (0.0780) loss_seg: 0.0673 (0.0776) loss_lansim: 0.0397 (0.0411) loss_contra: 0.0003 (0.0029) time: 2.6902 data: 0.0055 max mem: 31630 Epoch: [18] [ 440/5278] eta: 3:37:13 lr: 2.9094381029595137e-05 loss: 0.0676 (0.0784) loss_seg: 0.0672 (0.0780) loss_lansim: 0.0404 (0.0412) loss_contra: 0.0003 (0.0029) time: 2.6922 data: 0.0056 max mem: 31630 Epoch: [18] [ 450/5278] eta: 3:36:44 lr: 2.9092117354979747e-05 loss: 0.0662 (0.0785) loss_seg: 0.0659 (0.0780) loss_lansim: 0.0406 (0.0412) loss_contra: 0.0003 (0.0028) time: 2.6932 data: 0.0056 max mem: 31630 Epoch: [18] [ 460/5278] eta: 3:36:19 lr: 2.9089853660793322e-05 loss: 0.0672 (0.0782) loss_seg: 0.0668 (0.0777) loss_lansim: 0.0410 (0.0412) loss_contra: 0.0003 (0.0028) time: 2.6931 data: 0.0056 max mem: 31630 Epoch: [18] [ 470/5278] eta: 3:35:52 lr: 2.9087589947033998e-05 loss: 0.0676 (0.0781) loss_seg: 0.0672 (0.0777) loss_lansim: 0.0415 (0.0413) loss_contra: 0.0003 (0.0028) time: 2.6950 data: 0.0056 max mem: 31630 Epoch: [18] [ 480/5278] eta: 3:35:24 lr: 2.9085326213699903e-05 loss: 0.0680 (0.0779) loss_seg: 0.0676 (0.0775) loss_lansim: 0.0411 (0.0413) loss_contra: 0.0002 (0.0028) time: 2.6930 data: 0.0056 max mem: 31630 Epoch: [18] [ 490/5278] eta: 3:34:56 lr: 2.9083062460789185e-05 loss: 0.0699 (0.0776) loss_seg: 0.0693 (0.0771) loss_lansim: 0.0415 (0.0413) loss_contra: 0.0003 (0.0028) time: 2.6890 data: 0.0056 max mem: 31630 Epoch: [18] [ 500/5278] eta: 3:34:26 lr: 2.908079868829999e-05 loss: 0.0686 (0.0776) loss_seg: 0.0682 (0.0772) loss_lansim: 0.0415 (0.0413) loss_contra: 0.0003 (0.0029) time: 2.6893 data: 0.0056 max mem: 31630 Epoch: [18] [ 510/5278] eta: 3:34:02 lr: 2.9078534896230426e-05 loss: 0.0699 (0.0776) loss_seg: 0.0693 (0.0771) loss_lansim: 0.0415 (0.0413) loss_contra: 0.0003 (0.0030) time: 2.6902 data: 0.0056 max mem: 31630 Epoch: [18] [ 520/5278] eta: 3:33:36 lr: 2.9076271084578654e-05 loss: 0.0686 (0.0774) loss_seg: 0.0682 (0.0770) loss_lansim: 0.0413 (0.0412) loss_contra: 0.0004 (0.0030) time: 2.6909 data: 0.0055 max mem: 31630 Epoch: [18] [ 530/5278] eta: 3:33:10 lr: 2.9074007253342807e-05 loss: 0.0677 (0.0772) loss_seg: 0.0672 (0.0768) loss_lansim: 0.0413 (0.0412) loss_contra: 0.0004 (0.0030) time: 2.6958 data: 0.0055 max mem: 31630 Epoch: [18] [ 540/5278] eta: 3:32:45 lr: 2.9071743402521016e-05 loss: 0.0672 (0.0774) loss_seg: 0.0668 (0.0770) loss_lansim: 0.0413 (0.0413) loss_contra: 0.0004 (0.0030) time: 2.6955 data: 0.0055 max mem: 31630 Epoch: [18] [ 550/5278] eta: 3:32:17 lr: 2.9069479532111426e-05 loss: 0.0675 (0.0775) loss_seg: 0.0671 (0.0770) loss_lansim: 0.0413 (0.0413) loss_contra: 0.0004 (0.0030) time: 2.6968 data: 0.0055 max mem: 31630 Epoch: [18] [ 560/5278] eta: 3:31:52 lr: 2.906721564211216e-05 loss: 0.0679 (0.0773) loss_seg: 0.0674 (0.0769) loss_lansim: 0.0413 (0.0414) loss_contra: 0.0004 (0.0030) time: 2.6964 data: 0.0055 max mem: 31630 Epoch: [18] [ 570/5278] eta: 3:31:22 lr: 2.906495173252136e-05 loss: 0.0671 (0.0773) loss_seg: 0.0666 (0.0768) loss_lansim: 0.0413 (0.0414) loss_contra: 0.0004 (0.0030) time: 2.6938 data: 0.0055 max mem: 31630 Epoch: [18] [ 580/5278] eta: 3:30:59 lr: 2.9062687803337157e-05 loss: 0.0647 (0.0772) loss_seg: 0.0643 (0.0767) loss_lansim: 0.0414 (0.0414) loss_contra: 0.0005 (0.0030) time: 2.6983 data: 0.0055 max mem: 31630 Epoch: [18] [ 590/5278] eta: 3:30:32 lr: 2.9060423854557693e-05 loss: 0.0647 (0.0770) loss_seg: 0.0643 (0.0766) loss_lansim: 0.0414 (0.0414) loss_contra: 0.0004 (0.0030) time: 2.7009 data: 0.0055 max mem: 31630 Epoch: [18] [ 600/5278] eta: 3:30:07 lr: 2.9058159886181103e-05 loss: 0.0640 (0.0768) loss_seg: 0.0634 (0.0763) loss_lansim: 0.0415 (0.0415) loss_contra: 0.0003 (0.0030) time: 2.7059 data: 0.0054 max mem: 31630 Epoch: [18] [ 610/5278] eta: 3:29:41 lr: 2.9055895898205505e-05 loss: 0.0640 (0.0766) loss_seg: 0.0635 (0.0762) loss_lansim: 0.0419 (0.0415) loss_contra: 0.0003 (0.0030) time: 2.7042 data: 0.0054 max mem: 31630 Epoch: [18] [ 620/5278] eta: 3:29:13 lr: 2.9053631890629046e-05 loss: 0.0640 (0.0766) loss_seg: 0.0634 (0.0761) loss_lansim: 0.0423 (0.0415) loss_contra: 0.0003 (0.0030) time: 2.7025 data: 0.0054 max mem: 31630 Epoch: [18] [ 630/5278] eta: 3:28:48 lr: 2.9051367863449863e-05 loss: 0.0640 (0.0765) loss_seg: 0.0635 (0.0761) loss_lansim: 0.0423 (0.0415) loss_contra: 0.0003 (0.0030) time: 2.7032 data: 0.0054 max mem: 31630 Epoch: [18] [ 640/5278] eta: 3:28:19 lr: 2.9049103816666075e-05 loss: 0.0640 (0.0765) loss_seg: 0.0635 (0.0761) loss_lansim: 0.0420 (0.0415) loss_contra: 0.0003 (0.0029) time: 2.6991 data: 0.0055 max mem: 31630 Epoch: [18] [ 650/5278] eta: 3:27:53 lr: 2.9046839750275823e-05 loss: 0.0654 (0.0766) loss_seg: 0.0649 (0.0761) loss_lansim: 0.0419 (0.0415) loss_contra: 0.0003 (0.0029) time: 2.7009 data: 0.0055 max mem: 31630 Epoch: [18] [ 660/5278] eta: 3:27:25 lr: 2.9044575664277242e-05 loss: 0.0640 (0.0765) loss_seg: 0.0636 (0.0760) loss_lansim: 0.0420 (0.0416) loss_contra: 0.0003 (0.0029) time: 2.6979 data: 0.0056 max mem: 31630 Epoch: [18] [ 670/5278] eta: 3:26:59 lr: 2.904231155866845e-05 loss: 0.0666 (0.0764) loss_seg: 0.0662 (0.0760) loss_lansim: 0.0420 (0.0416) loss_contra: 0.0003 (0.0029) time: 2.7026 data: 0.0056 max mem: 31630 Epoch: [18] [ 680/5278] eta: 3:26:34 lr: 2.9040047433447605e-05 loss: 0.0700 (0.0763) loss_seg: 0.0695 (0.0759) loss_lansim: 0.0424 (0.0417) loss_contra: 0.0003 (0.0028) time: 2.7012 data: 0.0056 max mem: 31630 Epoch: [18] [ 690/5278] eta: 3:26:07 lr: 2.9037783288612808e-05 loss: 0.0709 (0.0763) loss_seg: 0.0703 (0.0759) loss_lansim: 0.0426 (0.0417) loss_contra: 0.0003 (0.0028) time: 2.7007 data: 0.0056 max mem: 31630 Epoch: [18] [ 700/5278] eta: 3:25:42 lr: 2.90355191241622e-05 loss: 0.0722 (0.0763) loss_seg: 0.0718 (0.0759) loss_lansim: 0.0426 (0.0417) loss_contra: 0.0003 (0.0028) time: 2.7023 data: 0.0056 max mem: 31630 Epoch: [18] [ 710/5278] eta: 3:25:14 lr: 2.9033254940093922e-05 loss: 0.0709 (0.0762) loss_seg: 0.0703 (0.0758) loss_lansim: 0.0424 (0.0417) loss_contra: 0.0003 (0.0028) time: 2.6990 data: 0.0056 max mem: 31630 Epoch: [18] [ 720/5278] eta: 3:24:47 lr: 2.9030990736406094e-05 loss: 0.0701 (0.0770) loss_seg: 0.0695 (0.0765) loss_lansim: 0.0426 (0.0417) loss_contra: 0.0003 (0.0028) time: 2.7012 data: 0.0057 max mem: 31630 Epoch: [18] [ 730/5278] eta: 3:24:19 lr: 2.902872651309685e-05 loss: 0.0716 (0.0773) loss_seg: 0.0711 (0.0768) loss_lansim: 0.0428 (0.0418) loss_contra: 0.0004 (0.0028) time: 2.6960 data: 0.0057 max mem: 31630 Epoch: [18] [ 740/5278] eta: 3:23:51 lr: 2.9026462270164316e-05 loss: 0.0716 (0.0772) loss_seg: 0.0711 (0.0767) loss_lansim: 0.0429 (0.0418) loss_contra: 0.0003 (0.0028) time: 2.6974 data: 0.0056 max mem: 31630 Epoch: [18] [ 750/5278] eta: 3:23:23 lr: 2.9024198007606617e-05 loss: 0.0716 (0.0773) loss_seg: 0.0711 (0.0769) loss_lansim: 0.0435 (0.0419) loss_contra: 0.0004 (0.0028) time: 2.6951 data: 0.0055 max mem: 31630 Epoch: [18] [ 760/5278] eta: 3:22:54 lr: 2.90219337254219e-05 loss: 0.0716 (0.0773) loss_seg: 0.0711 (0.0768) loss_lansim: 0.0435 (0.0419) loss_contra: 0.0004 (0.0028) time: 2.6929 data: 0.0055 max mem: 31630 Epoch: [18] [ 770/5278] eta: 3:22:26 lr: 2.9019669423608276e-05 loss: 0.0742 (0.0774) loss_seg: 0.0730 (0.0769) loss_lansim: 0.0435 (0.0419) loss_contra: 0.0005 (0.0029) time: 2.6901 data: 0.0055 max mem: 31630 Epoch: [18] [ 780/5278] eta: 3:21:57 lr: 2.9017405102163874e-05 loss: 0.0718 (0.0774) loss_seg: 0.0713 (0.0770) loss_lansim: 0.0436 (0.0420) loss_contra: 0.0006 (0.0029) time: 2.6833 data: 0.0054 max mem: 31630 Epoch: [18] [ 790/5278] eta: 3:21:31 lr: 2.9015140761086827e-05 loss: 0.0703 (0.0772) loss_seg: 0.0698 (0.0767) loss_lansim: 0.0440 (0.0420) loss_contra: 0.0007 (0.0029) time: 2.6839 data: 0.0054 max mem: 31630 Epoch: [18] [ 800/5278] eta: 3:21:04 lr: 2.901287640037526e-05 loss: 0.0705 (0.0773) loss_seg: 0.0701 (0.0768) loss_lansim: 0.0445 (0.0421) loss_contra: 0.0008 (0.0030) time: 2.6814 data: 0.0054 max mem: 31630 Epoch: [18] [ 810/5278] eta: 3:20:36 lr: 2.9010612020027307e-05 loss: 0.0725 (0.0774) loss_seg: 0.0720 (0.0769) loss_lansim: 0.0445 (0.0421) loss_contra: 0.0011 (0.0029) time: 2.6803 data: 0.0054 max mem: 31630 Epoch: [18] [ 820/5278] eta: 3:20:10 lr: 2.900834762004108e-05 loss: 0.0711 (0.0772) loss_seg: 0.0707 (0.0768) loss_lansim: 0.0445 (0.0422) loss_contra: 0.0009 (0.0029) time: 2.6811 data: 0.0054 max mem: 31630 Epoch: [18] [ 830/5278] eta: 3:19:42 lr: 2.9006083200414718e-05 loss: 0.0703 (0.0773) loss_seg: 0.0698 (0.0769) loss_lansim: 0.0440 (0.0422) loss_contra: 0.0011 (0.0029) time: 2.6815 data: 0.0054 max mem: 31630 Epoch: [18] [ 840/5278] eta: 3:19:15 lr: 2.9003818761146352e-05 loss: 0.0705 (0.0775) loss_seg: 0.0701 (0.0771) loss_lansim: 0.0441 (0.0422) loss_contra: 0.0011 (0.0029) time: 2.6840 data: 0.0053 max mem: 31630 Epoch: [18] [ 850/5278] eta: 3:18:49 lr: 2.9001554302234086e-05 loss: 0.0703 (0.0776) loss_seg: 0.0698 (0.0772) loss_lansim: 0.0442 (0.0423) loss_contra: 0.0011 (0.0030) time: 2.6870 data: 0.0054 max mem: 31630 Epoch: [18] [ 860/5278] eta: 3:18:21 lr: 2.8999289823676066e-05 loss: 0.0722 (0.0776) loss_seg: 0.0711 (0.0771) loss_lansim: 0.0445 (0.0423) loss_contra: 0.0009 (0.0030) time: 2.6888 data: 0.0054 max mem: 31630 Epoch: [18] [ 870/5278] eta: 3:17:57 lr: 2.8997025325470406e-05 loss: 0.0703 (0.0777) loss_seg: 0.0698 (0.0772) loss_lansim: 0.0445 (0.0423) loss_contra: 0.0007 (0.0030) time: 2.6944 data: 0.0054 max mem: 31630 Epoch: [18] [ 880/5278] eta: 3:17:29 lr: 2.899476080761523e-05 loss: 0.0722 (0.0776) loss_seg: 0.0711 (0.0771) loss_lansim: 0.0445 (0.0424) loss_contra: 0.0006 (0.0029) time: 2.6973 data: 0.0055 max mem: 31630 Epoch: [18] [ 890/5278] eta: 3:17:04 lr: 2.8992496270108676e-05 loss: 0.0737 (0.0779) loss_seg: 0.0732 (0.0775) loss_lansim: 0.0460 (0.0424) loss_contra: 0.0006 (0.0029) time: 2.6994 data: 0.0054 max mem: 31630 Epoch: [18] [ 900/5278] eta: 3:16:37 lr: 2.8990231712948852e-05 loss: 0.0730 (0.0779) loss_seg: 0.0726 (0.0775) loss_lansim: 0.0456 (0.0425) loss_contra: 0.0005 (0.0030) time: 2.6985 data: 0.0054 max mem: 31630 Epoch: [18] [ 910/5278] eta: 3:16:10 lr: 2.8987967136133886e-05 loss: 0.0730 (0.0779) loss_seg: 0.0726 (0.0775) loss_lansim: 0.0460 (0.0426) loss_contra: 0.0004 (0.0030) time: 2.7017 data: 0.0054 max mem: 31630 Epoch: [18] [ 920/5278] eta: 3:15:45 lr: 2.8985702539661907e-05 loss: 0.0737 (0.0779) loss_seg: 0.0732 (0.0774) loss_lansim: 0.0465 (0.0427) loss_contra: 0.0004 (0.0030) time: 2.7032 data: 0.0054 max mem: 31630 Epoch: [18] [ 930/5278] eta: 3:15:16 lr: 2.8983437923531026e-05 loss: 0.0746 (0.0781) loss_seg: 0.0741 (0.0777) loss_lansim: 0.0467 (0.0427) loss_contra: 0.0004 (0.0030) time: 2.7028 data: 0.0054 max mem: 31630 Epoch: [18] [ 940/5278] eta: 3:14:50 lr: 2.898117328773938e-05 loss: 0.0753 (0.0784) loss_seg: 0.0749 (0.0780) loss_lansim: 0.0469 (0.0428) loss_contra: 0.0004 (0.0030) time: 2.7036 data: 0.0054 max mem: 31630 Epoch: [18] [ 950/5278] eta: 3:14:23 lr: 2.897890863228509e-05 loss: 0.0747 (0.0784) loss_seg: 0.0742 (0.0779) loss_lansim: 0.0468 (0.0428) loss_contra: 0.0004 (0.0030) time: 2.7009 data: 0.0054 max mem: 31630 Epoch: [18] [ 960/5278] eta: 3:13:57 lr: 2.8976643957166262e-05 loss: 0.0746 (0.0785) loss_seg: 0.0741 (0.0781) loss_lansim: 0.0470 (0.0429) loss_contra: 0.0004 (0.0029) time: 2.7042 data: 0.0054 max mem: 31630 Epoch: [18] [ 970/5278] eta: 3:13:30 lr: 2.897437926238104e-05 loss: 0.0730 (0.0784) loss_seg: 0.0726 (0.0779) loss_lansim: 0.0467 (0.0429) loss_contra: 0.0004 (0.0029) time: 2.7014 data: 0.0054 max mem: 31630 Epoch: [18] [ 980/5278] eta: 3:13:02 lr: 2.8972114547927526e-05 loss: 0.0721 (0.0784) loss_seg: 0.0716 (0.0779) loss_lansim: 0.0466 (0.0429) loss_contra: 0.0004 (0.0029) time: 2.7005 data: 0.0054 max mem: 31630 Epoch: [18] [ 990/5278] eta: 3:12:37 lr: 2.8969849813803844e-05 loss: 0.0721 (0.0786) loss_seg: 0.0716 (0.0781) loss_lansim: 0.0456 (0.0429) loss_contra: 0.0003 (0.0031) time: 2.7008 data: 0.0054 max mem: 31630 Epoch: [18] [1000/5278] eta: 3:12:09 lr: 2.896758506000813e-05 loss: 0.0727 (0.0786) loss_seg: 0.0723 (0.0781) loss_lansim: 0.0454 (0.0429) loss_contra: 0.0004 (0.0031) time: 2.6972 data: 0.0054 max mem: 31630 Epoch: [18] [1010/5278] eta: 3:11:42 lr: 2.8965320286538476e-05 loss: 0.0727 (0.0786) loss_seg: 0.0723 (0.0781) loss_lansim: 0.0449 (0.0429) loss_contra: 0.0004 (0.0031) time: 2.6984 data: 0.0054 max mem: 31630 Epoch: [18] [1020/5278] eta: 3:11:15 lr: 2.8963055493393037e-05 loss: 0.0718 (0.0784) loss_seg: 0.0712 (0.0779) loss_lansim: 0.0438 (0.0429) loss_contra: 0.0004 (0.0032) time: 2.6949 data: 0.0054 max mem: 31630 Epoch: [18] [1030/5278] eta: 3:10:49 lr: 2.8960790680569904e-05 loss: 0.0701 (0.0785) loss_seg: 0.0696 (0.0781) loss_lansim: 0.0431 (0.0429) loss_contra: 0.0005 (0.0033) time: 2.6993 data: 0.0054 max mem: 31630 Epoch: [18] [1040/5278] eta: 3:10:22 lr: 2.8958525848067214e-05 loss: 0.0684 (0.0786) loss_seg: 0.0680 (0.0781) loss_lansim: 0.0431 (0.0429) loss_contra: 0.0007 (0.0033) time: 2.6978 data: 0.0055 max mem: 31630 Epoch: [18] [1050/5278] eta: 3:09:54 lr: 2.8956260995883077e-05 loss: 0.0711 (0.0789) loss_seg: 0.0706 (0.0784) loss_lansim: 0.0431 (0.0430) loss_contra: 0.0009 (0.0034) time: 2.6970 data: 0.0055 max mem: 31630 Epoch: [18] [1060/5278] eta: 3:09:28 lr: 2.8953996124015605e-05 loss: 0.0707 (0.0788) loss_seg: 0.0703 (0.0783) loss_lansim: 0.0429 (0.0430) loss_contra: 0.0009 (0.0034) time: 2.6981 data: 0.0054 max mem: 31630 Epoch: [18] [1070/5278] eta: 3:09:00 lr: 2.895173123246293e-05 loss: 0.0714 (0.0787) loss_seg: 0.0710 (0.0782) loss_lansim: 0.0435 (0.0430) loss_contra: 0.0009 (0.0034) time: 2.6918 data: 0.0054 max mem: 31630 Epoch: [18] [1080/5278] eta: 3:08:32 lr: 2.8949466321223162e-05 loss: 0.0714 (0.0786) loss_seg: 0.0709 (0.0781) loss_lansim: 0.0440 (0.0431) loss_contra: 0.0012 (0.0034) time: 2.6931 data: 0.0055 max mem: 31630 Epoch: [18] [1090/5278] eta: 3:08:05 lr: 2.894720139029442e-05 loss: 0.0703 (0.0786) loss_seg: 0.0698 (0.0781) loss_lansim: 0.0449 (0.0431) loss_contra: 0.0011 (0.0034) time: 2.6876 data: 0.0055 max mem: 31630 Epoch: [18] [1100/5278] eta: 3:07:38 lr: 2.894493643967483e-05 loss: 0.0703 (0.0786) loss_seg: 0.0698 (0.0781) loss_lansim: 0.0449 (0.0431) loss_contra: 0.0010 (0.0034) time: 2.6912 data: 0.0055 max mem: 31630 Epoch: [18] [1110/5278] eta: 3:07:10 lr: 2.894267146936249e-05 loss: 0.0681 (0.0786) loss_seg: 0.0662 (0.0782) loss_lansim: 0.0444 (0.0431) loss_contra: 0.0007 (0.0034) time: 2.6889 data: 0.0055 max mem: 31630 Epoch: [18] [1120/5278] eta: 3:06:43 lr: 2.894040647935553e-05 loss: 0.0703 (0.0785) loss_seg: 0.0698 (0.0781) loss_lansim: 0.0446 (0.0432) loss_contra: 0.0006 (0.0033) time: 2.6875 data: 0.0055 max mem: 31630 Epoch: [18] [1130/5278] eta: 3:06:16 lr: 2.8938141469652063e-05 loss: 0.0690 (0.0784) loss_seg: 0.0685 (0.0780) loss_lansim: 0.0450 (0.0432) loss_contra: 0.0006 (0.0034) time: 2.6869 data: 0.0054 max mem: 31630 Epoch: [18] [1140/5278] eta: 3:05:48 lr: 2.89358764402502e-05 loss: 0.0707 (0.0785) loss_seg: 0.0703 (0.0780) loss_lansim: 0.0451 (0.0432) loss_contra: 0.0006 (0.0034) time: 2.6829 data: 0.0054 max mem: 31630 Epoch: [18] [1150/5278] eta: 3:05:21 lr: 2.893361139114807e-05 loss: 0.0703 (0.0785) loss_seg: 0.0698 (0.0781) loss_lansim: 0.0452 (0.0433) loss_contra: 0.0005 (0.0034) time: 2.6853 data: 0.0054 max mem: 31630 Epoch: [18] [1160/5278] eta: 3:04:54 lr: 2.8931346322343773e-05 loss: 0.0666 (0.0784) loss_seg: 0.0660 (0.0779) loss_lansim: 0.0459 (0.0433) loss_contra: 0.0005 (0.0034) time: 2.6817 data: 0.0054 max mem: 31630 Epoch: [18] [1170/5278] eta: 3:04:28 lr: 2.8929081233835424e-05 loss: 0.0666 (0.0786) loss_seg: 0.0660 (0.0781) loss_lansim: 0.0454 (0.0433) loss_contra: 0.0006 (0.0034) time: 2.6881 data: 0.0055 max mem: 31630 Epoch: [18] [1180/5278] eta: 3:04:01 lr: 2.892681612562116e-05 loss: 0.0668 (0.0785) loss_seg: 0.0664 (0.0780) loss_lansim: 0.0454 (0.0433) loss_contra: 0.0006 (0.0034) time: 2.6897 data: 0.0054 max mem: 31630 Epoch: [18] [1190/5278] eta: 3:03:33 lr: 2.8924550997699062e-05 loss: 0.0711 (0.0787) loss_seg: 0.0707 (0.0782) loss_lansim: 0.0452 (0.0434) loss_contra: 0.0006 (0.0034) time: 2.6894 data: 0.0054 max mem: 31630 Epoch: [18] [1200/5278] eta: 3:03:07 lr: 2.8922285850067265e-05 loss: 0.0690 (0.0786) loss_seg: 0.0685 (0.0781) loss_lansim: 0.0452 (0.0434) loss_contra: 0.0006 (0.0034) time: 2.6919 data: 0.0054 max mem: 31630 Epoch: [18] [1210/5278] eta: 3:02:39 lr: 2.8920020682723882e-05 loss: 0.0690 (0.0786) loss_seg: 0.0685 (0.0781) loss_lansim: 0.0459 (0.0434) loss_contra: 0.0006 (0.0033) time: 2.6892 data: 0.0054 max mem: 31630 Epoch: [18] [1220/5278] eta: 3:02:13 lr: 2.8917755495667004e-05 loss: 0.0711 (0.0785) loss_seg: 0.0707 (0.0781) loss_lansim: 0.0452 (0.0434) loss_contra: 0.0007 (0.0033) time: 2.6923 data: 0.0054 max mem: 31630 Epoch: [18] [1230/5278] eta: 3:01:45 lr: 2.8915490288894777e-05 loss: 0.0721 (0.0785) loss_seg: 0.0715 (0.0781) loss_lansim: 0.0451 (0.0434) loss_contra: 0.0006 (0.0033) time: 2.6889 data: 0.0054 max mem: 31630 Epoch: [18] [1240/5278] eta: 3:01:18 lr: 2.8913225062405293e-05 loss: 0.0700 (0.0785) loss_seg: 0.0696 (0.0781) loss_lansim: 0.0450 (0.0434) loss_contra: 0.0004 (0.0033) time: 2.6931 data: 0.0054 max mem: 31630 Epoch: [18] [1250/5278] eta: 3:00:52 lr: 2.8910959816196665e-05 loss: 0.0700 (0.0785) loss_seg: 0.0696 (0.0780) loss_lansim: 0.0443 (0.0434) loss_contra: 0.0004 (0.0034) time: 2.6934 data: 0.0054 max mem: 31630 Epoch: [18] [1260/5278] eta: 3:00:24 lr: 2.8908694550267013e-05 loss: 0.0718 (0.0787) loss_seg: 0.0714 (0.0783) loss_lansim: 0.0448 (0.0435) loss_contra: 0.0006 (0.0034) time: 2.6924 data: 0.0053 max mem: 31630 Epoch: [18] [1270/5278] eta: 2:59:57 lr: 2.890642926461444e-05 loss: 0.0708 (0.0786) loss_seg: 0.0699 (0.0781) loss_lansim: 0.0447 (0.0435) loss_contra: 0.0004 (0.0034) time: 2.6912 data: 0.0053 max mem: 31630 Epoch: [18] [1280/5278] eta: 2:59:30 lr: 2.8904163959237053e-05 loss: 0.0711 (0.0786) loss_seg: 0.0706 (0.0781) loss_lansim: 0.0442 (0.0435) loss_contra: 0.0005 (0.0034) time: 2.6878 data: 0.0053 max mem: 31630 Epoch: [18] [1290/5278] eta: 2:59:03 lr: 2.8901898634132978e-05 loss: 0.0670 (0.0786) loss_seg: 0.0666 (0.0782) loss_lansim: 0.0442 (0.0435) loss_contra: 0.0005 (0.0034) time: 2.6924 data: 0.0053 max mem: 31630 Epoch: [18] [1300/5278] eta: 2:58:36 lr: 2.8899633289300306e-05 loss: 0.0682 (0.0785) loss_seg: 0.0675 (0.0781) loss_lansim: 0.0437 (0.0435) loss_contra: 0.0005 (0.0034) time: 2.6884 data: 0.0053 max mem: 31630 Epoch: [18] [1310/5278] eta: 2:58:08 lr: 2.8897367924737167e-05 loss: 0.0660 (0.0784) loss_seg: 0.0653 (0.0780) loss_lansim: 0.0431 (0.0434) loss_contra: 0.0007 (0.0034) time: 2.6879 data: 0.0053 max mem: 31630 Epoch: [18] [1320/5278] eta: 2:57:42 lr: 2.8895102540441653e-05 loss: 0.0660 (0.0785) loss_seg: 0.0653 (0.0780) loss_lansim: 0.0428 (0.0434) loss_contra: 0.0005 (0.0034) time: 2.6891 data: 0.0053 max mem: 31630 Epoch: [18] [1330/5278] eta: 2:57:14 lr: 2.8892837136411888e-05 loss: 0.0649 (0.0784) loss_seg: 0.0645 (0.0780) loss_lansim: 0.0428 (0.0435) loss_contra: 0.0005 (0.0034) time: 2.6892 data: 0.0053 max mem: 31630 Epoch: [18] [1340/5278] eta: 2:56:47 lr: 2.889057171264597e-05 loss: 0.0651 (0.0785) loss_seg: 0.0647 (0.0780) loss_lansim: 0.0431 (0.0435) loss_contra: 0.0005 (0.0033) time: 2.6885 data: 0.0053 max mem: 31630 Epoch: [18] [1350/5278] eta: 2:56:20 lr: 2.8888306269142007e-05 loss: 0.0651 (0.0785) loss_seg: 0.0647 (0.0780) loss_lansim: 0.0434 (0.0435) loss_contra: 0.0005 (0.0033) time: 2.6876 data: 0.0053 max mem: 31630 Epoch: [18] [1360/5278] eta: 2:55:53 lr: 2.8886040805898117e-05 loss: 0.0638 (0.0784) loss_seg: 0.0633 (0.0779) loss_lansim: 0.0434 (0.0435) loss_contra: 0.0005 (0.0033) time: 2.6892 data: 0.0053 max mem: 31630 Epoch: [18] [1370/5278] eta: 2:55:26 lr: 2.8883775322912403e-05 loss: 0.0651 (0.0784) loss_seg: 0.0647 (0.0779) loss_lansim: 0.0434 (0.0435) loss_contra: 0.0006 (0.0033) time: 2.6873 data: 0.0053 max mem: 31630 Epoch: [18] [1380/5278] eta: 2:54:58 lr: 2.8881509820182968e-05 loss: 0.0644 (0.0784) loss_seg: 0.0639 (0.0779) loss_lansim: 0.0438 (0.0435) loss_contra: 0.0005 (0.0033) time: 2.6871 data: 0.0053 max mem: 31630 Epoch: [18] [1390/5278] eta: 2:54:32 lr: 2.887924429770793e-05 loss: 0.0683 (0.0785) loss_seg: 0.0678 (0.0780) loss_lansim: 0.0439 (0.0436) loss_contra: 0.0006 (0.0033) time: 2.6863 data: 0.0053 max mem: 31630 Epoch: [18] [1400/5278] eta: 2:54:04 lr: 2.887697875548538e-05 loss: 0.0689 (0.0786) loss_seg: 0.0683 (0.0781) loss_lansim: 0.0438 (0.0436) loss_contra: 0.0006 (0.0033) time: 2.6845 data: 0.0053 max mem: 31630 Epoch: [18] [1410/5278] eta: 2:53:38 lr: 2.887471319351343e-05 loss: 0.0708 (0.0786) loss_seg: 0.0704 (0.0781) loss_lansim: 0.0447 (0.0436) loss_contra: 0.0005 (0.0033) time: 2.6900 data: 0.0053 max mem: 31630 Epoch: [18] [1420/5278] eta: 2:53:10 lr: 2.8872447611790204e-05 loss: 0.0708 (0.0786) loss_seg: 0.0704 (0.0781) loss_lansim: 0.0452 (0.0436) loss_contra: 0.0005 (0.0033) time: 2.6873 data: 0.0053 max mem: 31630 Epoch: [18] [1430/5278] eta: 2:52:45 lr: 2.8870182010313772e-05 loss: 0.0716 (0.0785) loss_seg: 0.0711 (0.0780) loss_lansim: 0.0453 (0.0436) loss_contra: 0.0005 (0.0032) time: 2.6933 data: 0.0053 max mem: 31630 Epoch: [18] [1440/5278] eta: 2:52:18 lr: 2.886791638908228e-05 loss: 0.0713 (0.0784) loss_seg: 0.0708 (0.0779) loss_lansim: 0.0454 (0.0437) loss_contra: 0.0005 (0.0033) time: 2.6951 data: 0.0053 max mem: 31630 Epoch: [18] [1450/5278] eta: 2:51:51 lr: 2.8865650748093797e-05 loss: 0.0713 (0.0785) loss_seg: 0.0708 (0.0780) loss_lansim: 0.0458 (0.0437) loss_contra: 0.0005 (0.0032) time: 2.6952 data: 0.0053 max mem: 31630 Epoch: [18] [1460/5278] eta: 2:51:25 lr: 2.8863385087346452e-05 loss: 0.0713 (0.0784) loss_seg: 0.0708 (0.0779) loss_lansim: 0.0460 (0.0437) loss_contra: 0.0004 (0.0032) time: 2.6979 data: 0.0053 max mem: 31630 Epoch: [18] [1470/5278] eta: 2:50:57 lr: 2.8861119406838343e-05 loss: 0.0672 (0.0783) loss_seg: 0.0667 (0.0778) loss_lansim: 0.0464 (0.0438) loss_contra: 0.0003 (0.0032) time: 2.6951 data: 0.0053 max mem: 31630 Epoch: [18] [1480/5278] eta: 2:50:31 lr: 2.8858853706567567e-05 loss: 0.0679 (0.0784) loss_seg: 0.0675 (0.0779) loss_lansim: 0.0465 (0.0438) loss_contra: 0.0003 (0.0032) time: 2.7002 data: 0.0053 max mem: 31630 Epoch: [18] [1490/5278] eta: 2:50:03 lr: 2.885658798653223e-05 loss: 0.0678 (0.0785) loss_seg: 0.0673 (0.0780) loss_lansim: 0.0466 (0.0438) loss_contra: 0.0003 (0.0032) time: 2.6966 data: 0.0053 max mem: 31630 Epoch: [18] [1500/5278] eta: 2:49:36 lr: 2.8854322246730448e-05 loss: 0.0678 (0.0784) loss_seg: 0.0673 (0.0779) loss_lansim: 0.0472 (0.0439) loss_contra: 0.0003 (0.0032) time: 2.6977 data: 0.0053 max mem: 31630 Epoch: [18] [1510/5278] eta: 2:49:09 lr: 2.88520564871603e-05 loss: 0.0678 (0.0784) loss_seg: 0.0673 (0.0780) loss_lansim: 0.0474 (0.0439) loss_contra: 0.0003 (0.0032) time: 2.6953 data: 0.0053 max mem: 31630 Epoch: [18] [1520/5278] eta: 2:48:41 lr: 2.8849790707819913e-05 loss: 0.0678 (0.0783) loss_seg: 0.0673 (0.0779) loss_lansim: 0.0474 (0.0439) loss_contra: 0.0003 (0.0033) time: 2.6933 data: 0.0053 max mem: 31630 Epoch: [18] [1530/5278] eta: 2:48:14 lr: 2.8847524908707375e-05 loss: 0.0678 (0.0783) loss_seg: 0.0673 (0.0778) loss_lansim: 0.0476 (0.0440) loss_contra: 0.0004 (0.0033) time: 2.6903 data: 0.0053 max mem: 31630 Epoch: [18] [1540/5278] eta: 2:47:47 lr: 2.884525908982079e-05 loss: 0.0679 (0.0783) loss_seg: 0.0675 (0.0778) loss_lansim: 0.0476 (0.0440) loss_contra: 0.0003 (0.0033) time: 2.6875 data: 0.0053 max mem: 31630 Epoch: [18] [1550/5278] eta: 2:47:20 lr: 2.8842993251158268e-05 loss: 0.0678 (0.0783) loss_seg: 0.0673 (0.0778) loss_lansim: 0.0480 (0.0441) loss_contra: 0.0003 (0.0033) time: 2.6862 data: 0.0053 max mem: 31630 Epoch: [18] [1560/5278] eta: 2:46:53 lr: 2.8840727392717892e-05 loss: 0.0678 (0.0782) loss_seg: 0.0673 (0.0777) loss_lansim: 0.0480 (0.0441) loss_contra: 0.0004 (0.0033) time: 2.6815 data: 0.0053 max mem: 31630 Epoch: [18] [1570/5278] eta: 2:46:25 lr: 2.8838461514497782e-05 loss: 0.0678 (0.0782) loss_seg: 0.0672 (0.0777) loss_lansim: 0.0490 (0.0442) loss_contra: 0.0006 (0.0034) time: 2.6810 data: 0.0053 max mem: 31630 Epoch: [18] [1580/5278] eta: 2:45:58 lr: 2.883619561649603e-05 loss: 0.0671 (0.0782) loss_seg: 0.0666 (0.0777) loss_lansim: 0.0496 (0.0442) loss_contra: 0.0007 (0.0035) time: 2.6781 data: 0.0052 max mem: 31630 Epoch: [18] [1590/5278] eta: 2:45:30 lr: 2.8833929698710734e-05 loss: 0.0671 (0.0781) loss_seg: 0.0665 (0.0776) loss_lansim: 0.0493 (0.0442) loss_contra: 0.0007 (0.0034) time: 2.6762 data: 0.0052 max mem: 31630 Epoch: [18] [1600/5278] eta: 2:45:03 lr: 2.8831663761140004e-05 loss: 0.0674 (0.0781) loss_seg: 0.0669 (0.0776) loss_lansim: 0.0493 (0.0442) loss_contra: 0.0006 (0.0035) time: 2.6767 data: 0.0052 max mem: 31630 Epoch: [18] [1610/5278] eta: 2:44:35 lr: 2.882939780378192e-05 loss: 0.0674 (0.0781) loss_seg: 0.0669 (0.0777) loss_lansim: 0.0487 (0.0442) loss_contra: 0.0007 (0.0035) time: 2.6753 data: 0.0052 max mem: 31630 Epoch: [18] [1620/5278] eta: 2:44:08 lr: 2.88271318266346e-05 loss: 0.0678 (0.0781) loss_seg: 0.0672 (0.0776) loss_lansim: 0.0488 (0.0443) loss_contra: 0.0006 (0.0034) time: 2.6763 data: 0.0052 max mem: 31630 Epoch: [18] [1630/5278] eta: 2:43:41 lr: 2.882486582969614e-05 loss: 0.0678 (0.0780) loss_seg: 0.0673 (0.0776) loss_lansim: 0.0485 (0.0443) loss_contra: 0.0006 (0.0034) time: 2.6732 data: 0.0052 max mem: 31630 Epoch: [18] [1640/5278] eta: 2:43:13 lr: 2.8822599812964623e-05 loss: 0.0678 (0.0781) loss_seg: 0.0673 (0.0776) loss_lansim: 0.0487 (0.0443) loss_contra: 0.0007 (0.0034) time: 2.6696 data: 0.0052 max mem: 31630 Epoch: [18] [1650/5278] eta: 2:42:46 lr: 2.8820333776438168e-05 loss: 0.0674 (0.0781) loss_seg: 0.0669 (0.0776) loss_lansim: 0.0483 (0.0444) loss_contra: 0.0006 (0.0035) time: 2.6732 data: 0.0052 max mem: 31630 Epoch: [18] [1660/5278] eta: 2:42:19 lr: 2.881806772011486e-05 loss: 0.0688 (0.0781) loss_seg: 0.0683 (0.0776) loss_lansim: 0.0481 (0.0444) loss_contra: 0.0005 (0.0035) time: 2.6738 data: 0.0052 max mem: 31630 Epoch: [18] [1670/5278] eta: 2:41:52 lr: 2.8815801643992803e-05 loss: 0.0701 (0.0780) loss_seg: 0.0695 (0.0775) loss_lansim: 0.0477 (0.0444) loss_contra: 0.0004 (0.0035) time: 2.6769 data: 0.0052 max mem: 31630 Epoch: [18] [1680/5278] eta: 2:41:25 lr: 2.8813535548070087e-05 loss: 0.0680 (0.0780) loss_seg: 0.0674 (0.0775) loss_lansim: 0.0476 (0.0444) loss_contra: 0.0004 (0.0035) time: 2.6763 data: 0.0052 max mem: 31630 Epoch: [18] [1690/5278] eta: 2:40:57 lr: 2.8811269432344812e-05 loss: 0.0688 (0.0780) loss_seg: 0.0683 (0.0775) loss_lansim: 0.0478 (0.0445) loss_contra: 0.0004 (0.0034) time: 2.6772 data: 0.0052 max mem: 31630 Epoch: [18] [1700/5278] eta: 2:40:31 lr: 2.8809003296815073e-05 loss: 0.0680 (0.0779) loss_seg: 0.0674 (0.0774) loss_lansim: 0.0476 (0.0445) loss_contra: 0.0004 (0.0034) time: 2.6804 data: 0.0052 max mem: 31630 Epoch: [18] [1710/5278] eta: 2:40:03 lr: 2.8806737141478972e-05 loss: 0.0658 (0.0779) loss_seg: 0.0653 (0.0774) loss_lansim: 0.0476 (0.0445) loss_contra: 0.0004 (0.0034) time: 2.6787 data: 0.0052 max mem: 31630 Epoch: [18] [1720/5278] eta: 2:39:36 lr: 2.880447096633459e-05 loss: 0.0654 (0.0779) loss_seg: 0.0650 (0.0774) loss_lansim: 0.0476 (0.0445) loss_contra: 0.0004 (0.0034) time: 2.6809 data: 0.0052 max mem: 31630 Epoch: [18] [1730/5278] eta: 2:39:09 lr: 2.880220477138004e-05 loss: 0.0665 (0.0779) loss_seg: 0.0657 (0.0774) loss_lansim: 0.0475 (0.0445) loss_contra: 0.0004 (0.0034) time: 2.6813 data: 0.0052 max mem: 31630 Epoch: [18] [1740/5278] eta: 2:38:42 lr: 2.879993855661341e-05 loss: 0.0654 (0.0778) loss_seg: 0.0650 (0.0773) loss_lansim: 0.0467 (0.0446) loss_contra: 0.0004 (0.0034) time: 2.6841 data: 0.0052 max mem: 31630 Epoch: [18] [1750/5278] eta: 2:38:15 lr: 2.8797672322032793e-05 loss: 0.0641 (0.0777) loss_seg: 0.0637 (0.0772) loss_lansim: 0.0466 (0.0446) loss_contra: 0.0004 (0.0035) time: 2.6801 data: 0.0052 max mem: 31630 Epoch: [18] [1760/5278] eta: 2:37:47 lr: 2.8795406067636284e-05 loss: 0.0641 (0.0776) loss_seg: 0.0637 (0.0771) loss_lansim: 0.0462 (0.0445) loss_contra: 0.0006 (0.0035) time: 2.6782 data: 0.0052 max mem: 31630 Epoch: [18] [1770/5278] eta: 2:37:20 lr: 2.8793139793421976e-05 loss: 0.0641 (0.0776) loss_seg: 0.0637 (0.0771) loss_lansim: 0.0462 (0.0446) loss_contra: 0.0006 (0.0035) time: 2.6800 data: 0.0052 max mem: 31630 Epoch: [18] [1780/5278] eta: 2:36:53 lr: 2.879087349938796e-05 loss: 0.0631 (0.0775) loss_seg: 0.0626 (0.0771) loss_lansim: 0.0462 (0.0446) loss_contra: 0.0006 (0.0035) time: 2.6763 data: 0.0052 max mem: 31630 Epoch: [18] [1790/5278] eta: 2:36:26 lr: 2.878860718553234e-05 loss: 0.0631 (0.0776) loss_seg: 0.0626 (0.0771) loss_lansim: 0.0458 (0.0446) loss_contra: 0.0006 (0.0035) time: 2.6791 data: 0.0052 max mem: 31630 Epoch: [18] [1800/5278] eta: 2:35:58 lr: 2.878634085185319e-05 loss: 0.0629 (0.0775) loss_seg: 0.0624 (0.0770) loss_lansim: 0.0462 (0.0446) loss_contra: 0.0006 (0.0035) time: 2.6749 data: 0.0052 max mem: 31630 Epoch: [18] [1810/5278] eta: 2:35:31 lr: 2.8784074498348623e-05 loss: 0.0633 (0.0775) loss_seg: 0.0628 (0.0770) loss_lansim: 0.0462 (0.0446) loss_contra: 0.0008 (0.0035) time: 2.6767 data: 0.0052 max mem: 31630 Epoch: [18] [1820/5278] eta: 2:35:04 lr: 2.8781808125016725e-05 loss: 0.0646 (0.0776) loss_seg: 0.0640 (0.0771) loss_lansim: 0.0462 (0.0446) loss_contra: 0.0010 (0.0035) time: 2.6749 data: 0.0052 max mem: 31630 Epoch: [18] [1830/5278] eta: 2:34:37 lr: 2.8779541731855575e-05 loss: 0.0633 (0.0775) loss_seg: 0.0627 (0.0770) loss_lansim: 0.0458 (0.0446) loss_contra: 0.0010 (0.0035) time: 2.6743 data: 0.0052 max mem: 31630 Epoch: [18] [1840/5278] eta: 2:34:10 lr: 2.8777275318863284e-05 loss: 0.0646 (0.0775) loss_seg: 0.0640 (0.0770) loss_lansim: 0.0451 (0.0446) loss_contra: 0.0008 (0.0035) time: 2.6765 data: 0.0052 max mem: 31630 Epoch: [18] [1850/5278] eta: 2:33:43 lr: 2.877500888603792e-05 loss: 0.0681 (0.0774) loss_seg: 0.0677 (0.0769) loss_lansim: 0.0449 (0.0446) loss_contra: 0.0007 (0.0035) time: 2.6752 data: 0.0052 max mem: 31630 Epoch: [18] [1860/5278] eta: 2:33:16 lr: 2.87727424333776e-05 loss: 0.0675 (0.0774) loss_seg: 0.0668 (0.0769) loss_lansim: 0.0449 (0.0446) loss_contra: 0.0005 (0.0035) time: 2.6799 data: 0.0052 max mem: 31630 Epoch: [18] [1870/5278] eta: 2:32:49 lr: 2.8770475960880393e-05 loss: 0.0686 (0.0776) loss_seg: 0.0681 (0.0771) loss_lansim: 0.0447 (0.0446) loss_contra: 0.0005 (0.0035) time: 2.6768 data: 0.0051 max mem: 31630 Epoch: [18] [1880/5278] eta: 2:32:22 lr: 2.8768209468544398e-05 loss: 0.0704 (0.0776) loss_seg: 0.0700 (0.0771) loss_lansim: 0.0447 (0.0446) loss_contra: 0.0006 (0.0035) time: 2.6820 data: 0.0051 max mem: 31630 Epoch: [18] [1890/5278] eta: 2:31:55 lr: 2.876594295636771e-05 loss: 0.0699 (0.0776) loss_seg: 0.0696 (0.0771) loss_lansim: 0.0442 (0.0446) loss_contra: 0.0006 (0.0035) time: 2.6830 data: 0.0051 max mem: 31630 Epoch: [18] [1900/5278] eta: 2:31:28 lr: 2.8763676424348407e-05 loss: 0.0698 (0.0775) loss_seg: 0.0694 (0.0771) loss_lansim: 0.0441 (0.0446) loss_contra: 0.0005 (0.0035) time: 2.6814 data: 0.0051 max mem: 31630 Epoch: [18] [1910/5278] eta: 2:31:01 lr: 2.8761409872484583e-05 loss: 0.0713 (0.0776) loss_seg: 0.0708 (0.0771) loss_lansim: 0.0441 (0.0447) loss_contra: 0.0005 (0.0035) time: 2.6858 data: 0.0051 max mem: 31630 Epoch: [18] [1920/5278] eta: 2:30:34 lr: 2.8759143300774333e-05 loss: 0.0692 (0.0775) loss_seg: 0.0688 (0.0771) loss_lansim: 0.0440 (0.0446) loss_contra: 0.0006 (0.0035) time: 2.6869 data: 0.0051 max mem: 31630 Epoch: [18] [1930/5278] eta: 2:30:08 lr: 2.875687670921573e-05 loss: 0.0692 (0.0775) loss_seg: 0.0688 (0.0770) loss_lansim: 0.0439 (0.0446) loss_contra: 0.0006 (0.0035) time: 2.6899 data: 0.0050 max mem: 31630 Epoch: [18] [1940/5278] eta: 2:29:41 lr: 2.875461009780688e-05 loss: 0.0687 (0.0775) loss_seg: 0.0683 (0.0770) loss_lansim: 0.0437 (0.0446) loss_contra: 0.0005 (0.0035) time: 2.6895 data: 0.0050 max mem: 31630 Epoch: [18] [1950/5278] eta: 2:29:13 lr: 2.875234346654585e-05 loss: 0.0724 (0.0777) loss_seg: 0.0720 (0.0772) loss_lansim: 0.0440 (0.0446) loss_contra: 0.0005 (0.0035) time: 2.6888 data: 0.0051 max mem: 31630 Epoch: [18] [1960/5278] eta: 2:28:46 lr: 2.875007681543075e-05 loss: 0.0731 (0.0777) loss_seg: 0.0727 (0.0773) loss_lansim: 0.0443 (0.0447) loss_contra: 0.0006 (0.0035) time: 2.6869 data: 0.0050 max mem: 31630 Epoch: [18] [1970/5278] eta: 2:28:19 lr: 2.8747810144459653e-05 loss: 0.0744 (0.0778) loss_seg: 0.0740 (0.0773) loss_lansim: 0.0443 (0.0447) loss_contra: 0.0005 (0.0035) time: 2.6871 data: 0.0051 max mem: 31630 Epoch: [18] [1980/5278] eta: 2:27:52 lr: 2.8745543453630642e-05 loss: 0.0740 (0.0778) loss_seg: 0.0735 (0.0773) loss_lansim: 0.0445 (0.0447) loss_contra: 0.0005 (0.0035) time: 2.6850 data: 0.0051 max mem: 31630 Epoch: [18] [1990/5278] eta: 2:27:25 lr: 2.8743276742941815e-05 loss: 0.0752 (0.0778) loss_seg: 0.0746 (0.0773) loss_lansim: 0.0449 (0.0447) loss_contra: 0.0004 (0.0035) time: 2.6828 data: 0.0051 max mem: 31630 Epoch: [18] [2000/5278] eta: 2:26:58 lr: 2.874101001239125e-05 loss: 0.0757 (0.0778) loss_seg: 0.0752 (0.0773) loss_lansim: 0.0450 (0.0447) loss_contra: 0.0004 (0.0035) time: 2.6851 data: 0.0051 max mem: 31630 Epoch: [18] [2010/5278] eta: 2:26:31 lr: 2.873874326197703e-05 loss: 0.0724 (0.0777) loss_seg: 0.0720 (0.0773) loss_lansim: 0.0450 (0.0447) loss_contra: 0.0004 (0.0036) time: 2.6837 data: 0.0051 max mem: 31630 Epoch: [18] [2020/5278] eta: 2:26:04 lr: 2.8736476491697255e-05 loss: 0.0733 (0.0777) loss_seg: 0.0729 (0.0772) loss_lansim: 0.0451 (0.0447) loss_contra: 0.0003 (0.0036) time: 2.6823 data: 0.0051 max mem: 31630 Epoch: [18] [2030/5278] eta: 2:25:37 lr: 2.873420970154999e-05 loss: 0.0740 (0.0778) loss_seg: 0.0735 (0.0773) loss_lansim: 0.0457 (0.0447) loss_contra: 0.0003 (0.0036) time: 2.6819 data: 0.0051 max mem: 31630 Epoch: [18] [2040/5278] eta: 2:25:10 lr: 2.873194289153333e-05 loss: 0.0768 (0.0778) loss_seg: 0.0762 (0.0773) loss_lansim: 0.0462 (0.0448) loss_contra: 0.0005 (0.0036) time: 2.6818 data: 0.0051 max mem: 31630 Epoch: [18] [2050/5278] eta: 2:24:43 lr: 2.8729676061645365e-05 loss: 0.0710 (0.0777) loss_seg: 0.0706 (0.0772) loss_lansim: 0.0461 (0.0448) loss_contra: 0.0005 (0.0036) time: 2.6835 data: 0.0052 max mem: 31630 Epoch: [18] [2060/5278] eta: 2:24:17 lr: 2.872740921188416e-05 loss: 0.0685 (0.0776) loss_seg: 0.0679 (0.0771) loss_lansim: 0.0462 (0.0448) loss_contra: 0.0005 (0.0036) time: 2.6868 data: 0.0052 max mem: 31630 Epoch: [18] [2070/5278] eta: 2:23:50 lr: 2.8725142342247818e-05 loss: 0.0671 (0.0776) loss_seg: 0.0667 (0.0771) loss_lansim: 0.0461 (0.0448) loss_contra: 0.0005 (0.0036) time: 2.6878 data: 0.0052 max mem: 31630 Epoch: [18] [2080/5278] eta: 2:23:23 lr: 2.872287545273441e-05 loss: 0.0659 (0.0776) loss_seg: 0.0654 (0.0771) loss_lansim: 0.0461 (0.0448) loss_contra: 0.0007 (0.0037) time: 2.6921 data: 0.0052 max mem: 31630 Epoch: [18] [2090/5278] eta: 2:22:56 lr: 2.8720608543342026e-05 loss: 0.0668 (0.0776) loss_seg: 0.0664 (0.0771) loss_lansim: 0.0462 (0.0448) loss_contra: 0.0006 (0.0036) time: 2.6912 data: 0.0052 max mem: 31630 Epoch: [18] [2100/5278] eta: 2:22:29 lr: 2.8718341614068744e-05 loss: 0.0679 (0.0777) loss_seg: 0.0675 (0.0772) loss_lansim: 0.0468 (0.0449) loss_contra: 0.0008 (0.0036) time: 2.6898 data: 0.0052 max mem: 31630 Epoch: [18] [2110/5278] eta: 2:22:02 lr: 2.8716074664912644e-05 loss: 0.0690 (0.0778) loss_seg: 0.0683 (0.0773) loss_lansim: 0.0466 (0.0449) loss_contra: 0.0009 (0.0036) time: 2.6880 data: 0.0052 max mem: 31630 Epoch: [18] [2120/5278] eta: 2:21:34 lr: 2.871380769587181e-05 loss: 0.0704 (0.0778) loss_seg: 0.0698 (0.0773) loss_lansim: 0.0467 (0.0449) loss_contra: 0.0010 (0.0037) time: 2.6859 data: 0.0052 max mem: 31630 Epoch: [18] [2130/5278] eta: 2:21:07 lr: 2.871154070694433e-05 loss: 0.0702 (0.0777) loss_seg: 0.0697 (0.0773) loss_lansim: 0.0461 (0.0449) loss_contra: 0.0011 (0.0038) time: 2.6856 data: 0.0052 max mem: 31630 Epoch: [18] [2140/5278] eta: 2:20:40 lr: 2.8709273698128264e-05 loss: 0.0690 (0.0781) loss_seg: 0.0683 (0.0776) loss_lansim: 0.0459 (0.0449) loss_contra: 0.0010 (0.0038) time: 2.6810 data: 0.0052 max mem: 31630 Epoch: [18] [2150/5278] eta: 2:20:13 lr: 2.8707006669421717e-05 loss: 0.0690 (0.0780) loss_seg: 0.0683 (0.0775) loss_lansim: 0.0460 (0.0449) loss_contra: 0.0010 (0.0038) time: 2.6856 data: 0.0052 max mem: 31630 Epoch: [18] [2160/5278] eta: 2:19:47 lr: 2.8704739620822756e-05 loss: 0.0748 (0.0780) loss_seg: 0.0743 (0.0775) loss_lansim: 0.0461 (0.0449) loss_contra: 0.0010 (0.0039) time: 2.6825 data: 0.0052 max mem: 31630 Epoch: [18] [2170/5278] eta: 2:19:19 lr: 2.870247255232946e-05 loss: 0.0760 (0.0780) loss_seg: 0.0753 (0.0776) loss_lansim: 0.0466 (0.0449) loss_contra: 0.0009 (0.0038) time: 2.6811 data: 0.0052 max mem: 31630 Epoch: [18] [2180/5278] eta: 2:18:52 lr: 2.8700205463939922e-05 loss: 0.0760 (0.0780) loss_seg: 0.0753 (0.0776) loss_lansim: 0.0468 (0.0450) loss_contra: 0.0009 (0.0039) time: 2.6786 data: 0.0052 max mem: 31630 Epoch: [18] [2190/5278] eta: 2:18:25 lr: 2.86979383556522e-05 loss: 0.0758 (0.0781) loss_seg: 0.0753 (0.0776) loss_lansim: 0.0468 (0.0450) loss_contra: 0.0011 (0.0039) time: 2.6805 data: 0.0053 max mem: 31630 Epoch: [18] [2200/5278] eta: 2:17:58 lr: 2.8695671227464387e-05 loss: 0.0750 (0.0780) loss_seg: 0.0745 (0.0775) loss_lansim: 0.0459 (0.0450) loss_contra: 0.0010 (0.0039) time: 2.6822 data: 0.0054 max mem: 31630 Epoch: [18] [2210/5278] eta: 2:17:32 lr: 2.8693404079374563e-05 loss: 0.0750 (0.0780) loss_seg: 0.0745 (0.0775) loss_lansim: 0.0465 (0.0450) loss_contra: 0.0009 (0.0039) time: 2.6830 data: 0.0055 max mem: 31630 Epoch: [18] [2220/5278] eta: 2:17:05 lr: 2.869113691138079e-05 loss: 0.0758 (0.0782) loss_seg: 0.0753 (0.0777) loss_lansim: 0.0465 (0.0450) loss_contra: 0.0007 (0.0039) time: 2.6845 data: 0.0056 max mem: 31630 Epoch: [18] [2230/5278] eta: 2:16:38 lr: 2.8688869723481172e-05 loss: 0.0758 (0.0783) loss_seg: 0.0753 (0.0778) loss_lansim: 0.0466 (0.0450) loss_contra: 0.0006 (0.0038) time: 2.6874 data: 0.0057 max mem: 31630 Epoch: [18] [2240/5278] eta: 2:16:11 lr: 2.868660251567376e-05 loss: 0.0750 (0.0783) loss_seg: 0.0745 (0.0779) loss_lansim: 0.0461 (0.0450) loss_contra: 0.0006 (0.0038) time: 2.6895 data: 0.0057 max mem: 31630 Epoch: [18] [2250/5278] eta: 2:15:44 lr: 2.868433528795664e-05 loss: 0.0792 (0.0784) loss_seg: 0.0788 (0.0779) loss_lansim: 0.0455 (0.0450) loss_contra: 0.0006 (0.0038) time: 2.6865 data: 0.0058 max mem: 31630 Epoch: [18] [2260/5278] eta: 2:15:17 lr: 2.8682068040327903e-05 loss: 0.0761 (0.0784) loss_seg: 0.0756 (0.0779) loss_lansim: 0.0442 (0.0449) loss_contra: 0.0005 (0.0038) time: 2.6872 data: 0.0058 max mem: 31630 Epoch: [18] [2270/5278] eta: 2:14:50 lr: 2.8679800772785603e-05 loss: 0.0779 (0.0784) loss_seg: 0.0774 (0.0779) loss_lansim: 0.0438 (0.0449) loss_contra: 0.0006 (0.0038) time: 2.6870 data: 0.0057 max mem: 31630 Epoch: [18] [2280/5278] eta: 2:14:23 lr: 2.867753348532783e-05 loss: 0.0778 (0.0784) loss_seg: 0.0773 (0.0779) loss_lansim: 0.0431 (0.0449) loss_contra: 0.0005 (0.0038) time: 2.6887 data: 0.0057 max mem: 31630 Epoch: [18] [2290/5278] eta: 2:13:56 lr: 2.8675266177952657e-05 loss: 0.0752 (0.0784) loss_seg: 0.0747 (0.0779) loss_lansim: 0.0419 (0.0449) loss_contra: 0.0005 (0.0038) time: 2.6862 data: 0.0057 max mem: 31630 Epoch: [18] [2300/5278] eta: 2:13:30 lr: 2.867299885065815e-05 loss: 0.0752 (0.0784) loss_seg: 0.0747 (0.0779) loss_lansim: 0.0414 (0.0449) loss_contra: 0.0005 (0.0038) time: 2.6908 data: 0.0055 max mem: 31630 Epoch: [18] [2310/5278] eta: 2:13:03 lr: 2.86707315034424e-05 loss: 0.0744 (0.0783) loss_seg: 0.0738 (0.0778) loss_lansim: 0.0401 (0.0449) loss_contra: 0.0005 (0.0038) time: 2.6893 data: 0.0055 max mem: 31630 Epoch: [18] [2320/5278] eta: 2:12:36 lr: 2.8668464136303464e-05 loss: 0.0717 (0.0783) loss_seg: 0.0712 (0.0778) loss_lansim: 0.0398 (0.0448) loss_contra: 0.0006 (0.0038) time: 2.6917 data: 0.0054 max mem: 31630 Epoch: [18] [2330/5278] eta: 2:12:09 lr: 2.8666196749239428e-05 loss: 0.0698 (0.0782) loss_seg: 0.0693 (0.0777) loss_lansim: 0.0397 (0.0448) loss_contra: 0.0006 (0.0038) time: 2.6884 data: 0.0053 max mem: 31630 Epoch: [18] [2340/5278] eta: 2:11:42 lr: 2.866392934224837e-05 loss: 0.0695 (0.0782) loss_seg: 0.0690 (0.0777) loss_lansim: 0.0395 (0.0448) loss_contra: 0.0006 (0.0038) time: 2.6900 data: 0.0053 max mem: 31630 Epoch: [18] [2350/5278] eta: 2:11:15 lr: 2.866166191532834e-05 loss: 0.0665 (0.0781) loss_seg: 0.0661 (0.0777) loss_lansim: 0.0395 (0.0448) loss_contra: 0.0006 (0.0038) time: 2.6920 data: 0.0052 max mem: 31630 Epoch: [18] [2360/5278] eta: 2:10:48 lr: 2.8659394468477446e-05 loss: 0.0665 (0.0782) loss_seg: 0.0661 (0.0777) loss_lansim: 0.0397 (0.0448) loss_contra: 0.0006 (0.0038) time: 2.6897 data: 0.0052 max mem: 31630 Epoch: [18] [2370/5278] eta: 2:10:22 lr: 2.8657127001693728e-05 loss: 0.0644 (0.0781) loss_seg: 0.0639 (0.0776) loss_lansim: 0.0398 (0.0448) loss_contra: 0.0006 (0.0038) time: 2.6961 data: 0.0052 max mem: 31630 Epoch: [18] [2380/5278] eta: 2:09:55 lr: 2.865485951497528e-05 loss: 0.0646 (0.0781) loss_seg: 0.0642 (0.0776) loss_lansim: 0.0398 (0.0447) loss_contra: 0.0005 (0.0038) time: 2.6912 data: 0.0052 max mem: 31630 Epoch: [18] [2390/5278] eta: 2:09:28 lr: 2.8652592008320166e-05 loss: 0.0647 (0.0782) loss_seg: 0.0642 (0.0777) loss_lansim: 0.0398 (0.0447) loss_contra: 0.0004 (0.0038) time: 2.6944 data: 0.0052 max mem: 31630 Epoch: [18] [2400/5278] eta: 2:09:01 lr: 2.8650324481726453e-05 loss: 0.0647 (0.0781) loss_seg: 0.0643 (0.0776) loss_lansim: 0.0406 (0.0447) loss_contra: 0.0004 (0.0037) time: 2.6908 data: 0.0052 max mem: 31630 Epoch: [18] [2410/5278] eta: 2:08:34 lr: 2.864805693519222e-05 loss: 0.0672 (0.0781) loss_seg: 0.0668 (0.0776) loss_lansim: 0.0411 (0.0447) loss_contra: 0.0004 (0.0037) time: 2.6912 data: 0.0052 max mem: 31630 Epoch: [18] [2420/5278] eta: 2:08:07 lr: 2.8645789368715535e-05 loss: 0.0665 (0.0781) loss_seg: 0.0658 (0.0776) loss_lansim: 0.0412 (0.0447) loss_contra: 0.0004 (0.0037) time: 2.6933 data: 0.0052 max mem: 31630 Epoch: [18] [2430/5278] eta: 2:07:40 lr: 2.8643521782294465e-05 loss: 0.0680 (0.0783) loss_seg: 0.0675 (0.0778) loss_lansim: 0.0417 (0.0447) loss_contra: 0.0003 (0.0037) time: 2.6915 data: 0.0052 max mem: 31630 Epoch: [18] [2440/5278] eta: 2:07:14 lr: 2.864125417592709e-05 loss: 0.0680 (0.0783) loss_seg: 0.0675 (0.0778) loss_lansim: 0.0428 (0.0447) loss_contra: 0.0004 (0.0039) time: 2.6950 data: 0.0052 max mem: 31630 Epoch: [18] [2450/5278] eta: 2:06:47 lr: 2.863898654961147e-05 loss: 0.0710 (0.0783) loss_seg: 0.0703 (0.0779) loss_lansim: 0.0432 (0.0447) loss_contra: 0.0005 (0.0040) time: 2.6914 data: 0.0052 max mem: 31630 Epoch: [18] [2460/5278] eta: 2:06:19 lr: 2.863671890334568e-05 loss: 0.0710 (0.0783) loss_seg: 0.0703 (0.0778) loss_lansim: 0.0430 (0.0447) loss_contra: 0.0009 (0.0041) time: 2.6918 data: 0.0051 max mem: 31630 Epoch: [18] [2470/5278] eta: 2:05:53 lr: 2.8634451237127786e-05 loss: 0.0730 (0.0783) loss_seg: 0.0726 (0.0778) loss_lansim: 0.0429 (0.0447) loss_contra: 0.0009 (0.0042) time: 2.6881 data: 0.0052 max mem: 31630 Epoch: [18] [2480/5278] eta: 2:05:25 lr: 2.8632183550955854e-05 loss: 0.0730 (0.0783) loss_seg: 0.0726 (0.0778) loss_lansim: 0.0433 (0.0447) loss_contra: 0.0014 (0.0042) time: 2.6875 data: 0.0052 max mem: 31630 Epoch: [18] [2490/5278] eta: 2:04:58 lr: 2.862991584482796e-05 loss: 0.0745 (0.0783) loss_seg: 0.0740 (0.0778) loss_lansim: 0.0440 (0.0447) loss_contra: 0.0017 (0.0042) time: 2.6876 data: 0.0052 max mem: 31630 Epoch: [18] [2500/5278] eta: 2:04:31 lr: 2.8627648118742172e-05 loss: 0.0757 (0.0784) loss_seg: 0.0752 (0.0779) loss_lansim: 0.0433 (0.0447) loss_contra: 0.0021 (0.0042) time: 2.6852 data: 0.0053 max mem: 31630 Epoch: [18] [2510/5278] eta: 2:04:04 lr: 2.862538037269654e-05 loss: 0.0763 (0.0784) loss_seg: 0.0759 (0.0779) loss_lansim: 0.0435 (0.0447) loss_contra: 0.0023 (0.0042) time: 2.6865 data: 0.0053 max mem: 31630 Epoch: [18] [2520/5278] eta: 2:03:37 lr: 2.862311260668916e-05 loss: 0.0775 (0.0784) loss_seg: 0.0765 (0.0779) loss_lansim: 0.0440 (0.0447) loss_contra: 0.0023 (0.0042) time: 2.6804 data: 0.0053 max mem: 31630 Epoch: [18] [2530/5278] eta: 2:03:10 lr: 2.8620844820718086e-05 loss: 0.0753 (0.0783) loss_seg: 0.0750 (0.0778) loss_lansim: 0.0437 (0.0447) loss_contra: 0.0022 (0.0042) time: 2.6825 data: 0.0053 max mem: 31630 Epoch: [18] [2540/5278] eta: 2:02:43 lr: 2.8618577014781373e-05 loss: 0.0757 (0.0783) loss_seg: 0.0752 (0.0779) loss_lansim: 0.0433 (0.0447) loss_contra: 0.0019 (0.0042) time: 2.6784 data: 0.0053 max mem: 31630 Epoch: [18] [2550/5278] eta: 2:02:16 lr: 2.8616309188877106e-05 loss: 0.0745 (0.0783) loss_seg: 0.0740 (0.0778) loss_lansim: 0.0433 (0.0447) loss_contra: 0.0017 (0.0042) time: 2.6786 data: 0.0053 max mem: 31630 Epoch: [18] [2560/5278] eta: 2:01:49 lr: 2.861404134300333e-05 loss: 0.0742 (0.0783) loss_seg: 0.0737 (0.0778) loss_lansim: 0.0440 (0.0447) loss_contra: 0.0014 (0.0042) time: 2.6790 data: 0.0053 max mem: 31630 Epoch: [18] [2570/5278] eta: 2:01:22 lr: 2.8611773477158137e-05 loss: 0.0744 (0.0783) loss_seg: 0.0739 (0.0778) loss_lansim: 0.0442 (0.0447) loss_contra: 0.0010 (0.0043) time: 2.6794 data: 0.0052 max mem: 31630 Epoch: [18] [2580/5278] eta: 2:00:56 lr: 2.860950559133957e-05 loss: 0.0744 (0.0783) loss_seg: 0.0739 (0.0778) loss_lansim: 0.0445 (0.0447) loss_contra: 0.0008 (0.0043) time: 2.6857 data: 0.0052 max mem: 31630 Epoch: [18] [2590/5278] eta: 2:00:29 lr: 2.86072376855457e-05 loss: 0.0739 (0.0782) loss_seg: 0.0734 (0.0777) loss_lansim: 0.0445 (0.0447) loss_contra: 0.0007 (0.0043) time: 2.6806 data: 0.0052 max mem: 31630 Epoch: [18] [2600/5278] eta: 2:00:02 lr: 2.86049697597746e-05 loss: 0.0719 (0.0782) loss_seg: 0.0715 (0.0777) loss_lansim: 0.0445 (0.0447) loss_contra: 0.0007 (0.0043) time: 2.6819 data: 0.0051 max mem: 31630 Epoch: [18] [2610/5278] eta: 1:59:34 lr: 2.8602701814024323e-05 loss: 0.0704 (0.0782) loss_seg: 0.0698 (0.0777) loss_lansim: 0.0445 (0.0447) loss_contra: 0.0007 (0.0043) time: 2.6781 data: 0.0051 max mem: 31630 Epoch: [18] [2620/5278] eta: 1:59:07 lr: 2.860043384829294e-05 loss: 0.0696 (0.0783) loss_seg: 0.0691 (0.0779) loss_lansim: 0.0443 (0.0447) loss_contra: 0.0007 (0.0043) time: 2.6796 data: 0.0051 max mem: 31630 Epoch: [18] [2630/5278] eta: 1:58:40 lr: 2.859816586257852e-05 loss: 0.0725 (0.0784) loss_seg: 0.0720 (0.0779) loss_lansim: 0.0446 (0.0447) loss_contra: 0.0007 (0.0043) time: 2.6782 data: 0.0051 max mem: 31630 Epoch: [18] [2640/5278] eta: 1:58:13 lr: 2.85958978568791e-05 loss: 0.0725 (0.0784) loss_seg: 0.0720 (0.0779) loss_lansim: 0.0442 (0.0447) loss_contra: 0.0007 (0.0043) time: 2.6760 data: 0.0052 max mem: 31630 Epoch: [18] [2650/5278] eta: 1:57:46 lr: 2.859362983119277e-05 loss: 0.0741 (0.0784) loss_seg: 0.0737 (0.0780) loss_lansim: 0.0442 (0.0447) loss_contra: 0.0007 (0.0043) time: 2.6779 data: 0.0052 max mem: 31630 Epoch: [18] [2660/5278] eta: 1:57:19 lr: 2.8591361785517585e-05 loss: 0.0711 (0.0784) loss_seg: 0.0704 (0.0779) loss_lansim: 0.0437 (0.0447) loss_contra: 0.0007 (0.0043) time: 2.6777 data: 0.0052 max mem: 31630 Epoch: [18] [2670/5278] eta: 1:56:53 lr: 2.8589093719851595e-05 loss: 0.0698 (0.0785) loss_seg: 0.0693 (0.0780) loss_lansim: 0.0435 (0.0447) loss_contra: 0.0007 (0.0043) time: 2.6797 data: 0.0052 max mem: 31630 Epoch: [18] [2680/5278] eta: 1:56:26 lr: 2.858682563419288e-05 loss: 0.0698 (0.0785) loss_seg: 0.0693 (0.0780) loss_lansim: 0.0435 (0.0447) loss_contra: 0.0008 (0.0043) time: 2.6754 data: 0.0052 max mem: 31630 Epoch: [18] [2690/5278] eta: 1:55:59 lr: 2.8584557528539496e-05 loss: 0.0711 (0.0785) loss_seg: 0.0704 (0.0780) loss_lansim: 0.0435 (0.0447) loss_contra: 0.0008 (0.0043) time: 2.6798 data: 0.0052 max mem: 31630 Epoch: [18] [2700/5278] eta: 1:55:32 lr: 2.858228940288949e-05 loss: 0.0711 (0.0785) loss_seg: 0.0704 (0.0780) loss_lansim: 0.0435 (0.0447) loss_contra: 0.0008 (0.0043) time: 2.6809 data: 0.0052 max mem: 31630 Epoch: [18] [2710/5278] eta: 1:55:05 lr: 2.8580021257240946e-05 loss: 0.0698 (0.0784) loss_seg: 0.0693 (0.0779) loss_lansim: 0.0430 (0.0446) loss_contra: 0.0007 (0.0043) time: 2.6817 data: 0.0052 max mem: 31630 Epoch: [18] [2720/5278] eta: 1:54:38 lr: 2.8577753091591896e-05 loss: 0.0698 (0.0784) loss_seg: 0.0693 (0.0779) loss_lansim: 0.0422 (0.0446) loss_contra: 0.0006 (0.0042) time: 2.6854 data: 0.0052 max mem: 31630 Epoch: [18] [2730/5278] eta: 1:54:11 lr: 2.8575484905940423e-05 loss: 0.0685 (0.0784) loss_seg: 0.0681 (0.0779) loss_lansim: 0.0418 (0.0446) loss_contra: 0.0006 (0.0043) time: 2.6854 data: 0.0052 max mem: 31630 Epoch: [18] [2740/5278] eta: 1:53:44 lr: 2.8573216700284577e-05 loss: 0.0684 (0.0785) loss_seg: 0.0679 (0.0780) loss_lansim: 0.0422 (0.0446) loss_contra: 0.0006 (0.0042) time: 2.6895 data: 0.0053 max mem: 31630 Epoch: [18] [2750/5278] eta: 1:53:17 lr: 2.8570948474622422e-05 loss: 0.0680 (0.0785) loss_seg: 0.0673 (0.0780) loss_lansim: 0.0416 (0.0446) loss_contra: 0.0006 (0.0042) time: 2.6845 data: 0.0053 max mem: 31630 Epoch: [18] [2760/5278] eta: 1:52:50 lr: 2.8568680228952015e-05 loss: 0.0684 (0.0785) loss_seg: 0.0679 (0.0780) loss_lansim: 0.0421 (0.0446) loss_contra: 0.0006 (0.0042) time: 2.6859 data: 0.0053 max mem: 31630 Epoch: [18] [2770/5278] eta: 1:52:23 lr: 2.8566411963271406e-05 loss: 0.0685 (0.0785) loss_seg: 0.0681 (0.0780) loss_lansim: 0.0422 (0.0446) loss_contra: 0.0006 (0.0043) time: 2.6824 data: 0.0054 max mem: 31630 Epoch: [18] [2780/5278] eta: 1:51:56 lr: 2.8564143677578664e-05 loss: 0.0685 (0.0785) loss_seg: 0.0681 (0.0780) loss_lansim: 0.0416 (0.0446) loss_contra: 0.0006 (0.0044) time: 2.6835 data: 0.0055 max mem: 31630 Epoch: [18] [2790/5278] eta: 1:51:29 lr: 2.8561875371871838e-05 loss: 0.0684 (0.0785) loss_seg: 0.0679 (0.0780) loss_lansim: 0.0415 (0.0446) loss_contra: 0.0006 (0.0044) time: 2.6835 data: 0.0055 max mem: 31630 Epoch: [18] [2800/5278] eta: 1:51:02 lr: 2.8559607046148994e-05 loss: 0.0685 (0.0785) loss_seg: 0.0681 (0.0780) loss_lansim: 0.0415 (0.0446) loss_contra: 0.0006 (0.0044) time: 2.6814 data: 0.0055 max mem: 31630 Epoch: [18] [2810/5278] eta: 1:50:35 lr: 2.8557338700408186e-05 loss: 0.0721 (0.0785) loss_seg: 0.0717 (0.0780) loss_lansim: 0.0415 (0.0446) loss_contra: 0.0007 (0.0044) time: 2.6852 data: 0.0055 max mem: 31630 Epoch: [18] [2820/5278] eta: 1:50:08 lr: 2.8555070334647466e-05 loss: 0.0721 (0.0785) loss_seg: 0.0717 (0.0780) loss_lansim: 0.0411 (0.0445) loss_contra: 0.0008 (0.0044) time: 2.6803 data: 0.0056 max mem: 31630 Epoch: [18] [2830/5278] eta: 1:49:42 lr: 2.8552801948864893e-05 loss: 0.0721 (0.0785) loss_seg: 0.0717 (0.0780) loss_lansim: 0.0415 (0.0445) loss_contra: 0.0008 (0.0044) time: 2.6833 data: 0.0056 max mem: 31630 Epoch: [18] [2840/5278] eta: 1:49:15 lr: 2.855053354305853e-05 loss: 0.0713 (0.0785) loss_seg: 0.0708 (0.0780) loss_lansim: 0.0410 (0.0445) loss_contra: 0.0007 (0.0044) time: 2.6804 data: 0.0055 max mem: 31630 Epoch: [18] [2850/5278] eta: 1:48:48 lr: 2.8548265117226412e-05 loss: 0.0721 (0.0786) loss_seg: 0.0717 (0.0781) loss_lansim: 0.0415 (0.0445) loss_contra: 0.0007 (0.0044) time: 2.6829 data: 0.0055 max mem: 31630 Epoch: [18] [2860/5278] eta: 1:48:21 lr: 2.854599667136662e-05 loss: 0.0756 (0.0786) loss_seg: 0.0752 (0.0781) loss_lansim: 0.0406 (0.0445) loss_contra: 0.0007 (0.0043) time: 2.6830 data: 0.0055 max mem: 31630 Epoch: [18] [2870/5278] eta: 1:47:54 lr: 2.8543728205477195e-05 loss: 0.0701 (0.0786) loss_seg: 0.0697 (0.0781) loss_lansim: 0.0402 (0.0445) loss_contra: 0.0007 (0.0044) time: 2.6818 data: 0.0054 max mem: 31630 Epoch: [18] [2880/5278] eta: 1:47:27 lr: 2.8541459719556192e-05 loss: 0.0684 (0.0785) loss_seg: 0.0678 (0.0780) loss_lansim: 0.0397 (0.0445) loss_contra: 0.0006 (0.0044) time: 2.6826 data: 0.0053 max mem: 31630 Epoch: [18] [2890/5278] eta: 1:47:00 lr: 2.8539191213601667e-05 loss: 0.0701 (0.0785) loss_seg: 0.0698 (0.0780) loss_lansim: 0.0401 (0.0445) loss_contra: 0.0006 (0.0044) time: 2.6787 data: 0.0053 max mem: 31630 Epoch: [18] [2900/5278] eta: 1:46:33 lr: 2.853692268761167e-05 loss: 0.0684 (0.0785) loss_seg: 0.0678 (0.0780) loss_lansim: 0.0402 (0.0445) loss_contra: 0.0006 (0.0044) time: 2.6806 data: 0.0054 max mem: 31630 Epoch: [18] [2910/5278] eta: 1:46:06 lr: 2.853465414158426e-05 loss: 0.0683 (0.0786) loss_seg: 0.0678 (0.0781) loss_lansim: 0.0405 (0.0445) loss_contra: 0.0005 (0.0044) time: 2.6762 data: 0.0053 max mem: 31630 Epoch: [18] [2920/5278] eta: 1:45:39 lr: 2.8532385575517495e-05 loss: 0.0684 (0.0786) loss_seg: 0.0678 (0.0781) loss_lansim: 0.0408 (0.0445) loss_contra: 0.0005 (0.0044) time: 2.6770 data: 0.0052 max mem: 31630 Epoch: [18] [2930/5278] eta: 1:45:12 lr: 2.8530116989409404e-05 loss: 0.0692 (0.0786) loss_seg: 0.0687 (0.0781) loss_lansim: 0.0408 (0.0445) loss_contra: 0.0005 (0.0043) time: 2.6739 data: 0.0052 max mem: 31630 Epoch: [18] [2940/5278] eta: 1:44:44 lr: 2.8527848383258064e-05 loss: 0.0706 (0.0786) loss_seg: 0.0702 (0.0781) loss_lansim: 0.0424 (0.0445) loss_contra: 0.0005 (0.0044) time: 2.6728 data: 0.0052 max mem: 31630 Epoch: [18] [2950/5278] eta: 1:44:18 lr: 2.852557975706152e-05 loss: 0.0706 (0.0786) loss_seg: 0.0702 (0.0781) loss_lansim: 0.0422 (0.0445) loss_contra: 0.0005 (0.0044) time: 2.6757 data: 0.0052 max mem: 31630 Epoch: [18] [2960/5278] eta: 1:43:50 lr: 2.8523311110817817e-05 loss: 0.0701 (0.0786) loss_seg: 0.0698 (0.0781) loss_lansim: 0.0427 (0.0445) loss_contra: 0.0005 (0.0044) time: 2.6717 data: 0.0052 max mem: 31630 Epoch: [18] [2970/5278] eta: 1:43:24 lr: 2.852104244452502e-05 loss: 0.0706 (0.0787) loss_seg: 0.0702 (0.0782) loss_lansim: 0.0435 (0.0445) loss_contra: 0.0005 (0.0044) time: 2.6737 data: 0.0052 max mem: 31630 Epoch: [18] [2980/5278] eta: 1:42:57 lr: 2.851877375818116e-05 loss: 0.0724 (0.0786) loss_seg: 0.0720 (0.0781) loss_lansim: 0.0424 (0.0444) loss_contra: 0.0005 (0.0044) time: 2.6708 data: 0.0052 max mem: 31630 Epoch: [18] [2990/5278] eta: 1:42:30 lr: 2.85165050517843e-05 loss: 0.0716 (0.0786) loss_seg: 0.0712 (0.0781) loss_lansim: 0.0424 (0.0444) loss_contra: 0.0005 (0.0044) time: 2.6748 data: 0.0052 max mem: 31630 Epoch: [18] [3000/5278] eta: 1:42:03 lr: 2.8514236325332494e-05 loss: 0.0724 (0.0786) loss_seg: 0.0720 (0.0781) loss_lansim: 0.0424 (0.0444) loss_contra: 0.0005 (0.0044) time: 2.6742 data: 0.0052 max mem: 31630 Epoch: [18] [3010/5278] eta: 1:41:36 lr: 2.8511967578823773e-05 loss: 0.0724 (0.0786) loss_seg: 0.0720 (0.0781) loss_lansim: 0.0427 (0.0444) loss_contra: 0.0005 (0.0044) time: 2.6740 data: 0.0052 max mem: 31630 Epoch: [18] [3020/5278] eta: 1:41:09 lr: 2.8509698812256214e-05 loss: 0.0719 (0.0786) loss_seg: 0.0715 (0.0781) loss_lansim: 0.0427 (0.0444) loss_contra: 0.0005 (0.0044) time: 2.6761 data: 0.0052 max mem: 31630 Epoch: [18] [3030/5278] eta: 1:40:42 lr: 2.8507430025627845e-05 loss: 0.0772 (0.0787) loss_seg: 0.0767 (0.0782) loss_lansim: 0.0429 (0.0444) loss_contra: 0.0005 (0.0044) time: 2.6720 data: 0.0052 max mem: 31630 Epoch: [18] [3040/5278] eta: 1:40:14 lr: 2.8505161218936715e-05 loss: 0.0713 (0.0786) loss_seg: 0.0709 (0.0782) loss_lansim: 0.0425 (0.0444) loss_contra: 0.0004 (0.0044) time: 2.6731 data: 0.0052 max mem: 31630 Epoch: [18] [3050/5278] eta: 1:39:47 lr: 2.8502892392180892e-05 loss: 0.0685 (0.0786) loss_seg: 0.0680 (0.0781) loss_lansim: 0.0425 (0.0444) loss_contra: 0.0004 (0.0044) time: 2.6652 data: 0.0052 max mem: 31630 Epoch: [18] [3060/5278] eta: 1:39:20 lr: 2.8500623545358395e-05 loss: 0.0672 (0.0786) loss_seg: 0.0667 (0.0781) loss_lansim: 0.0421 (0.0444) loss_contra: 0.0004 (0.0044) time: 2.6707 data: 0.0052 max mem: 31630 Epoch: [18] [3070/5278] eta: 1:38:53 lr: 2.8498354678467298e-05 loss: 0.0678 (0.0786) loss_seg: 0.0673 (0.0781) loss_lansim: 0.0422 (0.0444) loss_contra: 0.0004 (0.0044) time: 2.6692 data: 0.0052 max mem: 31630 Epoch: [18] [3080/5278] eta: 1:38:26 lr: 2.8496085791505633e-05 loss: 0.0698 (0.0786) loss_seg: 0.0693 (0.0781) loss_lansim: 0.0426 (0.0444) loss_contra: 0.0004 (0.0044) time: 2.6703 data: 0.0052 max mem: 31630 Epoch: [18] [3090/5278] eta: 1:37:59 lr: 2.8493816884471446e-05 loss: 0.0698 (0.0786) loss_seg: 0.0693 (0.0781) loss_lansim: 0.0425 (0.0444) loss_contra: 0.0004 (0.0044) time: 2.6675 data: 0.0052 max mem: 31630 Epoch: [18] [3100/5278] eta: 1:37:32 lr: 2.8491547957362795e-05 loss: 0.0687 (0.0786) loss_seg: 0.0683 (0.0781) loss_lansim: 0.0431 (0.0444) loss_contra: 0.0004 (0.0044) time: 2.6672 data: 0.0052 max mem: 31630 Epoch: [18] [3110/5278] eta: 1:37:06 lr: 2.8489279010177715e-05 loss: 0.0687 (0.0786) loss_seg: 0.0683 (0.0781) loss_lansim: 0.0431 (0.0444) loss_contra: 0.0004 (0.0044) time: 2.6717 data: 0.0052 max mem: 31630 Epoch: [18] [3120/5278] eta: 1:36:39 lr: 2.8487010042914258e-05 loss: 0.0698 (0.0786) loss_seg: 0.0693 (0.0781) loss_lansim: 0.0432 (0.0444) loss_contra: 0.0004 (0.0043) time: 2.6668 data: 0.0052 max mem: 31630 Epoch: [18] [3130/5278] eta: 1:36:12 lr: 2.8484741055570468e-05 loss: 0.0685 (0.0786) loss_seg: 0.0680 (0.0781) loss_lansim: 0.0423 (0.0444) loss_contra: 0.0004 (0.0044) time: 2.6729 data: 0.0052 max mem: 31630 Epoch: [18] [3140/5278] eta: 1:35:45 lr: 2.8482472048144388e-05 loss: 0.0717 (0.0786) loss_seg: 0.0713 (0.0781) loss_lansim: 0.0432 (0.0444) loss_contra: 0.0005 (0.0044) time: 2.6710 data: 0.0052 max mem: 31630 Epoch: [18] [3150/5278] eta: 1:35:18 lr: 2.8480203020634065e-05 loss: 0.0724 (0.0786) loss_seg: 0.0719 (0.0781) loss_lansim: 0.0437 (0.0444) loss_contra: 0.0004 (0.0043) time: 2.6776 data: 0.0052 max mem: 31630 Epoch: [18] [3160/5278] eta: 1:34:51 lr: 2.8477933973037542e-05 loss: 0.0724 (0.0786) loss_seg: 0.0719 (0.0781) loss_lansim: 0.0437 (0.0444) loss_contra: 0.0004 (0.0043) time: 2.6726 data: 0.0052 max mem: 31630 Epoch: [18] [3170/5278] eta: 1:34:24 lr: 2.847566490535286e-05 loss: 0.0729 (0.0786) loss_seg: 0.0724 (0.0781) loss_lansim: 0.0437 (0.0444) loss_contra: 0.0004 (0.0043) time: 2.6721 data: 0.0052 max mem: 31630 Epoch: [18] [3180/5278] eta: 1:33:57 lr: 2.8473395817578068e-05 loss: 0.0724 (0.0786) loss_seg: 0.0719 (0.0781) loss_lansim: 0.0439 (0.0444) loss_contra: 0.0004 (0.0043) time: 2.6740 data: 0.0052 max mem: 31630 Epoch: [18] [3190/5278] eta: 1:33:30 lr: 2.847112670971121e-05 loss: 0.0730 (0.0786) loss_seg: 0.0725 (0.0781) loss_lansim: 0.0439 (0.0444) loss_contra: 0.0004 (0.0043) time: 2.6732 data: 0.0052 max mem: 31630 Epoch: [18] [3200/5278] eta: 1:33:03 lr: 2.846885758175032e-05 loss: 0.0743 (0.0787) loss_seg: 0.0738 (0.0782) loss_lansim: 0.0437 (0.0444) loss_contra: 0.0004 (0.0043) time: 2.6751 data: 0.0052 max mem: 31630 Epoch: [18] [3210/5278] eta: 1:32:36 lr: 2.8466588433693453e-05 loss: 0.0753 (0.0787) loss_seg: 0.0748 (0.0783) loss_lansim: 0.0439 (0.0444) loss_contra: 0.0005 (0.0043) time: 2.6706 data: 0.0053 max mem: 31630 Epoch: [18] [3220/5278] eta: 1:32:08 lr: 2.8464319265538635e-05 loss: 0.0747 (0.0787) loss_seg: 0.0743 (0.0783) loss_lansim: 0.0443 (0.0444) loss_contra: 0.0004 (0.0043) time: 2.6656 data: 0.0053 max mem: 31630 Epoch: [18] [3230/5278] eta: 1:31:41 lr: 2.8462050077283926e-05 loss: 0.0747 (0.0788) loss_seg: 0.0743 (0.0783) loss_lansim: 0.0446 (0.0444) loss_contra: 0.0004 (0.0043) time: 2.6563 data: 0.0053 max mem: 31630 Epoch: [18] [3240/5278] eta: 1:31:14 lr: 2.8459780868927357e-05 loss: 0.0739 (0.0787) loss_seg: 0.0734 (0.0783) loss_lansim: 0.0446 (0.0444) loss_contra: 0.0004 (0.0043) time: 2.6519 data: 0.0053 max mem: 31630 Epoch: [18] [3250/5278] eta: 1:30:46 lr: 2.845751164046696e-05 loss: 0.0753 (0.0788) loss_seg: 0.0748 (0.0783) loss_lansim: 0.0445 (0.0444) loss_contra: 0.0005 (0.0043) time: 2.6425 data: 0.0053 max mem: 31630 Epoch: [18] [3260/5278] eta: 1:30:19 lr: 2.84552423919008e-05 loss: 0.0773 (0.0787) loss_seg: 0.0769 (0.0783) loss_lansim: 0.0444 (0.0444) loss_contra: 0.0005 (0.0043) time: 2.6363 data: 0.0054 max mem: 31630 Epoch: [18] [3270/5278] eta: 1:29:51 lr: 2.8452973123226895e-05 loss: 0.0741 (0.0787) loss_seg: 0.0736 (0.0782) loss_lansim: 0.0445 (0.0444) loss_contra: 0.0005 (0.0043) time: 2.6296 data: 0.0054 max mem: 31630 Epoch: [18] [3280/5278] eta: 1:29:24 lr: 2.8450703834443293e-05 loss: 0.0740 (0.0787) loss_seg: 0.0736 (0.0782) loss_lansim: 0.0444 (0.0444) loss_contra: 0.0005 (0.0043) time: 2.6207 data: 0.0054 max mem: 31630 Epoch: [18] [3290/5278] eta: 1:28:57 lr: 2.844843452554804e-05 loss: 0.0735 (0.0787) loss_seg: 0.0731 (0.0782) loss_lansim: 0.0445 (0.0444) loss_contra: 0.0005 (0.0043) time: 2.6157 data: 0.0054 max mem: 31630 Epoch: [18] [3300/5278] eta: 1:28:29 lr: 2.844616519653916e-05 loss: 0.0725 (0.0787) loss_seg: 0.0720 (0.0782) loss_lansim: 0.0445 (0.0444) loss_contra: 0.0004 (0.0043) time: 2.6069 data: 0.0055 max mem: 31630 Epoch: [18] [3310/5278] eta: 1:28:02 lr: 2.8443895847414715e-05 loss: 0.0724 (0.0786) loss_seg: 0.0715 (0.0781) loss_lansim: 0.0443 (0.0444) loss_contra: 0.0004 (0.0043) time: 2.6019 data: 0.0055 max mem: 31630 Epoch: [18] [3320/5278] eta: 1:27:35 lr: 2.8441626478172718e-05 loss: 0.0695 (0.0786) loss_seg: 0.0691 (0.0781) loss_lansim: 0.0435 (0.0444) loss_contra: 0.0004 (0.0043) time: 2.6029 data: 0.0055 max mem: 31630 Epoch: [18] [3330/5278] eta: 1:27:08 lr: 2.8439357088811218e-05 loss: 0.0688 (0.0786) loss_seg: 0.0684 (0.0781) loss_lansim: 0.0430 (0.0444) loss_contra: 0.0004 (0.0043) time: 2.6030 data: 0.0055 max mem: 31630 Epoch: [18] [3340/5278] eta: 1:26:40 lr: 2.843708767932826e-05 loss: 0.0707 (0.0786) loss_seg: 0.0702 (0.0781) loss_lansim: 0.0426 (0.0444) loss_contra: 0.0004 (0.0043) time: 2.6033 data: 0.0055 max mem: 31630 Epoch: [18] [3350/5278] eta: 1:26:13 lr: 2.843481824972186e-05 loss: 0.0707 (0.0786) loss_seg: 0.0702 (0.0781) loss_lansim: 0.0422 (0.0444) loss_contra: 0.0004 (0.0043) time: 2.6039 data: 0.0055 max mem: 31630 Epoch: [18] [3360/5278] eta: 1:25:46 lr: 2.843254879999009e-05 loss: 0.0717 (0.0786) loss_seg: 0.0713 (0.0781) loss_lansim: 0.0420 (0.0444) loss_contra: 0.0004 (0.0043) time: 2.6125 data: 0.0055 max mem: 31630 Epoch: [18] [3370/5278] eta: 1:25:19 lr: 2.843027933013095e-05 loss: 0.0717 (0.0786) loss_seg: 0.0713 (0.0781) loss_lansim: 0.0422 (0.0444) loss_contra: 0.0003 (0.0043) time: 2.6182 data: 0.0055 max mem: 31630 Epoch: [18] [3380/5278] eta: 1:24:52 lr: 2.8428009840142494e-05 loss: 0.0724 (0.0787) loss_seg: 0.0719 (0.0782) loss_lansim: 0.0418 (0.0444) loss_contra: 0.0004 (0.0043) time: 2.6260 data: 0.0054 max mem: 31630 Epoch: [18] [3390/5278] eta: 1:24:26 lr: 2.8425740330022767e-05 loss: 0.0724 (0.0786) loss_seg: 0.0719 (0.0782) loss_lansim: 0.0418 (0.0444) loss_contra: 0.0004 (0.0043) time: 2.6348 data: 0.0054 max mem: 31630 Epoch: [18] [3400/5278] eta: 1:23:59 lr: 2.8423470799769787e-05 loss: 0.0726 (0.0786) loss_seg: 0.0722 (0.0781) loss_lansim: 0.0418 (0.0444) loss_contra: 0.0004 (0.0042) time: 2.6440 data: 0.0054 max mem: 31630 Epoch: [18] [3410/5278] eta: 1:23:32 lr: 2.842120124938159e-05 loss: 0.0743 (0.0787) loss_seg: 0.0739 (0.0782) loss_lansim: 0.0420 (0.0444) loss_contra: 0.0004 (0.0043) time: 2.6493 data: 0.0054 max mem: 31630 Epoch: [18] [3420/5278] eta: 1:23:05 lr: 2.841893167885623e-05 loss: 0.0743 (0.0786) loss_seg: 0.0739 (0.0782) loss_lansim: 0.0420 (0.0444) loss_contra: 0.0004 (0.0042) time: 2.6598 data: 0.0054 max mem: 31630 Epoch: [18] [3430/5278] eta: 1:22:38 lr: 2.8416662088191713e-05 loss: 0.0742 (0.0786) loss_seg: 0.0739 (0.0782) loss_lansim: 0.0422 (0.0443) loss_contra: 0.0004 (0.0042) time: 2.6643 data: 0.0054 max mem: 31630 Epoch: [18] [3440/5278] eta: 1:22:11 lr: 2.8414392477386097e-05 loss: 0.0742 (0.0787) loss_seg: 0.0739 (0.0782) loss_lansim: 0.0418 (0.0443) loss_contra: 0.0004 (0.0042) time: 2.6717 data: 0.0054 max mem: 31630 Epoch: [18] [3450/5278] eta: 1:21:44 lr: 2.8412122846437407e-05 loss: 0.0740 (0.0787) loss_seg: 0.0736 (0.0782) loss_lansim: 0.0422 (0.0443) loss_contra: 0.0006 (0.0043) time: 2.6785 data: 0.0054 max mem: 31630 Epoch: [18] [3460/5278] eta: 1:21:18 lr: 2.8409853195343672e-05 loss: 0.0742 (0.0787) loss_seg: 0.0739 (0.0783) loss_lansim: 0.0415 (0.0443) loss_contra: 0.0006 (0.0043) time: 2.6788 data: 0.0054 max mem: 31630 Epoch: [18] [3470/5278] eta: 1:20:51 lr: 2.8407583524102936e-05 loss: 0.0757 (0.0788) loss_seg: 0.0753 (0.0783) loss_lansim: 0.0409 (0.0443) loss_contra: 0.0006 (0.0043) time: 2.6790 data: 0.0054 max mem: 31630 Epoch: [18] [3480/5278] eta: 1:20:24 lr: 2.840531383271322e-05 loss: 0.0757 (0.0788) loss_seg: 0.0753 (0.0783) loss_lansim: 0.0408 (0.0443) loss_contra: 0.0007 (0.0042) time: 2.6766 data: 0.0054 max mem: 31630 Epoch: [18] [3490/5278] eta: 1:19:57 lr: 2.8403044121172555e-05 loss: 0.0759 (0.0788) loss_seg: 0.0755 (0.0783) loss_lansim: 0.0404 (0.0443) loss_contra: 0.0007 (0.0043) time: 2.6730 data: 0.0054 max mem: 31630 Epoch: [18] [3500/5278] eta: 1:19:30 lr: 2.840077438947899e-05 loss: 0.0757 (0.0788) loss_seg: 0.0753 (0.0783) loss_lansim: 0.0401 (0.0443) loss_contra: 0.0007 (0.0043) time: 2.6706 data: 0.0054 max mem: 31630 Epoch: [18] [3510/5278] eta: 1:19:03 lr: 2.8398504637630536e-05 loss: 0.0752 (0.0788) loss_seg: 0.0748 (0.0784) loss_lansim: 0.0403 (0.0443) loss_contra: 0.0007 (0.0044) time: 2.6736 data: 0.0053 max mem: 31630 Epoch: [18] [3520/5278] eta: 1:18:36 lr: 2.8396234865625243e-05 loss: 0.0757 (0.0788) loss_seg: 0.0753 (0.0783) loss_lansim: 0.0400 (0.0443) loss_contra: 0.0009 (0.0044) time: 2.6700 data: 0.0053 max mem: 31630 Epoch: [18] [3530/5278] eta: 1:18:09 lr: 2.8393965073461125e-05 loss: 0.0752 (0.0788) loss_seg: 0.0748 (0.0783) loss_lansim: 0.0400 (0.0442) loss_contra: 0.0010 (0.0044) time: 2.6738 data: 0.0053 max mem: 31630 Epoch: [18] [3540/5278] eta: 1:17:42 lr: 2.839169526113622e-05 loss: 0.0737 (0.0788) loss_seg: 0.0732 (0.0783) loss_lansim: 0.0403 (0.0442) loss_contra: 0.0010 (0.0044) time: 2.6727 data: 0.0053 max mem: 31630 Epoch: [18] [3550/5278] eta: 1:17:16 lr: 2.8389425428648563e-05 loss: 0.0737 (0.0788) loss_seg: 0.0732 (0.0784) loss_lansim: 0.0404 (0.0442) loss_contra: 0.0010 (0.0044) time: 2.6723 data: 0.0053 max mem: 31630 Epoch: [18] [3560/5278] eta: 1:16:49 lr: 2.8387155575996165e-05 loss: 0.0759 (0.0789) loss_seg: 0.0755 (0.0784) loss_lansim: 0.0407 (0.0442) loss_contra: 0.0010 (0.0044) time: 2.6712 data: 0.0053 max mem: 31630 Epoch: [18] [3570/5278] eta: 1:16:22 lr: 2.838488570317709e-05 loss: 0.0767 (0.0789) loss_seg: 0.0762 (0.0784) loss_lansim: 0.0412 (0.0442) loss_contra: 0.0009 (0.0044) time: 2.6747 data: 0.0053 max mem: 31630 Epoch: [18] [3580/5278] eta: 1:15:55 lr: 2.8382615810189327e-05 loss: 0.0729 (0.0788) loss_seg: 0.0725 (0.0784) loss_lansim: 0.0412 (0.0442) loss_contra: 0.0009 (0.0044) time: 2.6761 data: 0.0053 max mem: 31630 Epoch: [18] [3590/5278] eta: 1:15:28 lr: 2.838034589703093e-05 loss: 0.0729 (0.0788) loss_seg: 0.0725 (0.0784) loss_lansim: 0.0415 (0.0442) loss_contra: 0.0007 (0.0044) time: 2.6787 data: 0.0053 max mem: 31630 Epoch: [18] [3600/5278] eta: 1:15:01 lr: 2.8378075963699925e-05 loss: 0.0724 (0.0788) loss_seg: 0.0720 (0.0783) loss_lansim: 0.0416 (0.0442) loss_contra: 0.0007 (0.0044) time: 2.6773 data: 0.0053 max mem: 31630 Epoch: [18] [3610/5278] eta: 1:14:35 lr: 2.837580601019433e-05 loss: 0.0685 (0.0788) loss_seg: 0.0681 (0.0783) loss_lansim: 0.0415 (0.0442) loss_contra: 0.0006 (0.0044) time: 2.6788 data: 0.0053 max mem: 31630 Epoch: [18] [3620/5278] eta: 1:14:08 lr: 2.8373536036512176e-05 loss: 0.0688 (0.0788) loss_seg: 0.0682 (0.0783) loss_lansim: 0.0417 (0.0442) loss_contra: 0.0005 (0.0044) time: 2.6776 data: 0.0053 max mem: 31630 Epoch: [18] [3630/5278] eta: 1:13:41 lr: 2.8371266042651495e-05 loss: 0.0688 (0.0788) loss_seg: 0.0682 (0.0783) loss_lansim: 0.0422 (0.0442) loss_contra: 0.0004 (0.0044) time: 2.6788 data: 0.0053 max mem: 31630 Epoch: [18] [3640/5278] eta: 1:13:14 lr: 2.83689960286103e-05 loss: 0.0713 (0.0788) loss_seg: 0.0708 (0.0783) loss_lansim: 0.0430 (0.0442) loss_contra: 0.0004 (0.0044) time: 2.6778 data: 0.0053 max mem: 31630 Epoch: [18] [3650/5278] eta: 1:12:47 lr: 2.8366725994386643e-05 loss: 0.0723 (0.0788) loss_seg: 0.0718 (0.0784) loss_lansim: 0.0432 (0.0442) loss_contra: 0.0004 (0.0044) time: 2.6796 data: 0.0052 max mem: 31630 Epoch: [18] [3660/5278] eta: 1:12:20 lr: 2.836445593997853e-05 loss: 0.0698 (0.0788) loss_seg: 0.0693 (0.0783) loss_lansim: 0.0436 (0.0442) loss_contra: 0.0004 (0.0044) time: 2.6788 data: 0.0052 max mem: 31630 Epoch: [18] [3670/5278] eta: 1:11:53 lr: 2.8362185865383984e-05 loss: 0.0685 (0.0788) loss_seg: 0.0679 (0.0783) loss_lansim: 0.0434 (0.0442) loss_contra: 0.0003 (0.0044) time: 2.6773 data: 0.0052 max mem: 31630 Epoch: [18] [3680/5278] eta: 1:11:26 lr: 2.8359915770601048e-05 loss: 0.0692 (0.0788) loss_seg: 0.0687 (0.0783) loss_lansim: 0.0445 (0.0442) loss_contra: 0.0003 (0.0044) time: 2.6775 data: 0.0053 max mem: 31630 Epoch: [18] [3690/5278] eta: 1:11:00 lr: 2.835764565562773e-05 loss: 0.0697 (0.0789) loss_seg: 0.0691 (0.0785) loss_lansim: 0.0447 (0.0442) loss_contra: 0.0005 (0.0044) time: 2.6756 data: 0.0053 max mem: 31630 Epoch: [18] [3700/5278] eta: 1:10:33 lr: 2.8355375520462062e-05 loss: 0.0698 (0.0789) loss_seg: 0.0693 (0.0784) loss_lansim: 0.0445 (0.0442) loss_contra: 0.0007 (0.0044) time: 2.6790 data: 0.0053 max mem: 31630 Epoch: [18] [3710/5278] eta: 1:10:06 lr: 2.835310536510207e-05 loss: 0.0713 (0.0789) loss_seg: 0.0708 (0.0784) loss_lansim: 0.0445 (0.0442) loss_contra: 0.0009 (0.0045) time: 2.6743 data: 0.0053 max mem: 31630 Epoch: [18] [3720/5278] eta: 1:09:39 lr: 2.8350835189545766e-05 loss: 0.0718 (0.0789) loss_seg: 0.0712 (0.0784) loss_lansim: 0.0445 (0.0442) loss_contra: 0.0010 (0.0045) time: 2.6793 data: 0.0053 max mem: 31630 Epoch: [18] [3730/5278] eta: 1:09:12 lr: 2.8348564993791193e-05 loss: 0.0712 (0.0789) loss_seg: 0.0708 (0.0784) loss_lansim: 0.0447 (0.0443) loss_contra: 0.0010 (0.0045) time: 2.6775 data: 0.0053 max mem: 31630 Epoch: [18] [3740/5278] eta: 1:08:45 lr: 2.8346294777836356e-05 loss: 0.0702 (0.0789) loss_seg: 0.0698 (0.0784) loss_lansim: 0.0447 (0.0443) loss_contra: 0.0012 (0.0045) time: 2.6790 data: 0.0053 max mem: 31630 Epoch: [18] [3750/5278] eta: 1:08:19 lr: 2.8344024541679288e-05 loss: 0.0704 (0.0789) loss_seg: 0.0698 (0.0784) loss_lansim: 0.0447 (0.0443) loss_contra: 0.0014 (0.0045) time: 2.6795 data: 0.0052 max mem: 31630 Epoch: [18] [3760/5278] eta: 1:07:52 lr: 2.834175428531801e-05 loss: 0.0702 (0.0789) loss_seg: 0.0698 (0.0784) loss_lansim: 0.0450 (0.0443) loss_contra: 0.0012 (0.0045) time: 2.6796 data: 0.0052 max mem: 31630 Epoch: [18] [3770/5278] eta: 1:07:25 lr: 2.833948400875054e-05 loss: 0.0724 (0.0789) loss_seg: 0.0719 (0.0784) loss_lansim: 0.0453 (0.0443) loss_contra: 0.0010 (0.0045) time: 2.6815 data: 0.0052 max mem: 31630 Epoch: [18] [3780/5278] eta: 1:06:58 lr: 2.8337213711974898e-05 loss: 0.0748 (0.0789) loss_seg: 0.0744 (0.0784) loss_lansim: 0.0453 (0.0443) loss_contra: 0.0009 (0.0045) time: 2.6789 data: 0.0052 max mem: 31630 Epoch: [18] [3790/5278] eta: 1:06:31 lr: 2.8334943394989112e-05 loss: 0.0738 (0.0789) loss_seg: 0.0734 (0.0784) loss_lansim: 0.0450 (0.0443) loss_contra: 0.0009 (0.0045) time: 2.6828 data: 0.0052 max mem: 31630 Epoch: [18] [3800/5278] eta: 1:06:04 lr: 2.8332673057791198e-05 loss: 0.0738 (0.0790) loss_seg: 0.0734 (0.0785) loss_lansim: 0.0452 (0.0443) loss_contra: 0.0008 (0.0045) time: 2.6802 data: 0.0052 max mem: 31630 Epoch: [18] [3810/5278] eta: 1:05:38 lr: 2.8330402700379182e-05 loss: 0.0752 (0.0790) loss_seg: 0.0745 (0.0785) loss_lansim: 0.0453 (0.0443) loss_contra: 0.0006 (0.0045) time: 2.6820 data: 0.0052 max mem: 31630 Epoch: [18] [3820/5278] eta: 1:05:11 lr: 2.8328132322751078e-05 loss: 0.0757 (0.0790) loss_seg: 0.0754 (0.0785) loss_lansim: 0.0454 (0.0443) loss_contra: 0.0005 (0.0044) time: 2.6794 data: 0.0052 max mem: 31630 Epoch: [18] [3830/5278] eta: 1:04:44 lr: 2.8325861924904907e-05 loss: 0.0775 (0.0790) loss_seg: 0.0770 (0.0785) loss_lansim: 0.0452 (0.0443) loss_contra: 0.0005 (0.0044) time: 2.6822 data: 0.0052 max mem: 31630 Epoch: [18] [3840/5278] eta: 1:04:17 lr: 2.832359150683869e-05 loss: 0.0787 (0.0790) loss_seg: 0.0782 (0.0786) loss_lansim: 0.0452 (0.0443) loss_contra: 0.0005 (0.0044) time: 2.6833 data: 0.0052 max mem: 31630 Epoch: [18] [3850/5278] eta: 1:03:51 lr: 2.8321321068550444e-05 loss: 0.0801 (0.0791) loss_seg: 0.0796 (0.0786) loss_lansim: 0.0450 (0.0443) loss_contra: 0.0004 (0.0044) time: 2.6853 data: 0.0052 max mem: 31630 Epoch: [18] [3860/5278] eta: 1:03:24 lr: 2.8319050610038188e-05 loss: 0.0835 (0.0791) loss_seg: 0.0830 (0.0786) loss_lansim: 0.0452 (0.0443) loss_contra: 0.0004 (0.0044) time: 2.6856 data: 0.0052 max mem: 31630 Epoch: [18] [3870/5278] eta: 1:02:57 lr: 2.8316780131299948e-05 loss: 0.0838 (0.0791) loss_seg: 0.0832 (0.0786) loss_lansim: 0.0454 (0.0443) loss_contra: 0.0004 (0.0044) time: 2.6896 data: 0.0052 max mem: 31630 Epoch: [18] [3880/5278] eta: 1:02:30 lr: 2.8314509632333723e-05 loss: 0.0797 (0.0791) loss_seg: 0.0792 (0.0786) loss_lansim: 0.0452 (0.0443) loss_contra: 0.0004 (0.0044) time: 2.6893 data: 0.0052 max mem: 31630 Epoch: [18] [3890/5278] eta: 1:02:03 lr: 2.8312239113137557e-05 loss: 0.0797 (0.0791) loss_seg: 0.0792 (0.0786) loss_lansim: 0.0454 (0.0443) loss_contra: 0.0003 (0.0044) time: 2.6896 data: 0.0051 max mem: 31630 Epoch: [18] [3900/5278] eta: 1:01:36 lr: 2.830996857370944e-05 loss: 0.0797 (0.0790) loss_seg: 0.0792 (0.0786) loss_lansim: 0.0456 (0.0443) loss_contra: 0.0003 (0.0044) time: 2.6903 data: 0.0052 max mem: 31630 Epoch: [18] [3910/5278] eta: 1:01:10 lr: 2.8307698014047402e-05 loss: 0.0772 (0.0790) loss_seg: 0.0767 (0.0786) loss_lansim: 0.0455 (0.0443) loss_contra: 0.0003 (0.0044) time: 2.6943 data: 0.0051 max mem: 31630 Epoch: [18] [3920/5278] eta: 1:00:43 lr: 2.8305427434149467e-05 loss: 0.0732 (0.0790) loss_seg: 0.0727 (0.0785) loss_lansim: 0.0453 (0.0443) loss_contra: 0.0003 (0.0044) time: 2.6930 data: 0.0051 max mem: 31630 Epoch: [18] [3930/5278] eta: 1:00:16 lr: 2.8303156834013627e-05 loss: 0.0732 (0.0790) loss_seg: 0.0727 (0.0786) loss_lansim: 0.0453 (0.0443) loss_contra: 0.0003 (0.0044) time: 2.6921 data: 0.0051 max mem: 31630 Epoch: [18] [3940/5278] eta: 0:59:49 lr: 2.830088621363793e-05 loss: 0.0707 (0.0790) loss_seg: 0.0702 (0.0785) loss_lansim: 0.0453 (0.0443) loss_contra: 0.0003 (0.0044) time: 2.6930 data: 0.0051 max mem: 31630 Epoch: [18] [3950/5278] eta: 0:59:22 lr: 2.8298615573020365e-05 loss: 0.0655 (0.0789) loss_seg: 0.0651 (0.0785) loss_lansim: 0.0455 (0.0443) loss_contra: 0.0003 (0.0044) time: 2.6895 data: 0.0051 max mem: 31630 Epoch: [18] [3960/5278] eta: 0:58:56 lr: 2.8296344912158955e-05 loss: 0.0655 (0.0789) loss_seg: 0.0651 (0.0784) loss_lansim: 0.0453 (0.0443) loss_contra: 0.0003 (0.0044) time: 2.6891 data: 0.0051 max mem: 31630 Epoch: [18] [3970/5278] eta: 0:58:29 lr: 2.8294074231051726e-05 loss: 0.0655 (0.0789) loss_seg: 0.0651 (0.0784) loss_lansim: 0.0450 (0.0443) loss_contra: 0.0003 (0.0044) time: 2.6876 data: 0.0051 max mem: 31630 Epoch: [18] [3980/5278] eta: 0:58:02 lr: 2.8291803529696676e-05 loss: 0.0660 (0.0789) loss_seg: 0.0654 (0.0785) loss_lansim: 0.0451 (0.0443) loss_contra: 0.0005 (0.0044) time: 2.6928 data: 0.0051 max mem: 31630 Epoch: [18] [3990/5278] eta: 0:57:35 lr: 2.8289532808091822e-05 loss: 0.0667 (0.0789) loss_seg: 0.0661 (0.0784) loss_lansim: 0.0453 (0.0444) loss_contra: 0.0004 (0.0044) time: 2.6924 data: 0.0051 max mem: 31630 Epoch: [18] [4000/5278] eta: 0:57:08 lr: 2.8287262066235183e-05 loss: 0.0677 (0.0789) loss_seg: 0.0672 (0.0784) loss_lansim: 0.0452 (0.0444) loss_contra: 0.0006 (0.0044) time: 2.6930 data: 0.0051 max mem: 31630 Epoch: [18] [4010/5278] eta: 0:56:42 lr: 2.8284991304124764e-05 loss: 0.0665 (0.0789) loss_seg: 0.0660 (0.0784) loss_lansim: 0.0450 (0.0444) loss_contra: 0.0006 (0.0044) time: 2.6899 data: 0.0051 max mem: 31630 Epoch: [18] [4020/5278] eta: 0:56:15 lr: 2.8282720521758588e-05 loss: 0.0660 (0.0789) loss_seg: 0.0654 (0.0784) loss_lansim: 0.0450 (0.0444) loss_contra: 0.0008 (0.0044) time: 2.6913 data: 0.0051 max mem: 31630 Epoch: [18] [4030/5278] eta: 0:55:48 lr: 2.828044971913466e-05 loss: 0.0657 (0.0789) loss_seg: 0.0653 (0.0784) loss_lansim: 0.0450 (0.0443) loss_contra: 0.0008 (0.0044) time: 2.6918 data: 0.0051 max mem: 31630 Epoch: [18] [4040/5278] eta: 0:55:21 lr: 2.827817889625099e-05 loss: 0.0679 (0.0789) loss_seg: 0.0674 (0.0784) loss_lansim: 0.0450 (0.0444) loss_contra: 0.0007 (0.0044) time: 2.6900 data: 0.0050 max mem: 31630 Epoch: [18] [4050/5278] eta: 0:54:54 lr: 2.8275908053105605e-05 loss: 0.0687 (0.0789) loss_seg: 0.0683 (0.0785) loss_lansim: 0.0448 (0.0444) loss_contra: 0.0007 (0.0045) time: 2.6896 data: 0.0051 max mem: 31630 Epoch: [18] [4060/5278] eta: 0:54:28 lr: 2.827363718969649e-05 loss: 0.0689 (0.0789) loss_seg: 0.0684 (0.0784) loss_lansim: 0.0450 (0.0444) loss_contra: 0.0007 (0.0045) time: 2.6930 data: 0.0050 max mem: 31630 Epoch: [18] [4070/5278] eta: 0:54:01 lr: 2.827136630602168e-05 loss: 0.0683 (0.0789) loss_seg: 0.0678 (0.0784) loss_lansim: 0.0446 (0.0444) loss_contra: 0.0008 (0.0045) time: 2.6898 data: 0.0050 max mem: 31630 Epoch: [18] [4080/5278] eta: 0:53:34 lr: 2.826909540207917e-05 loss: 0.0689 (0.0789) loss_seg: 0.0684 (0.0785) loss_lansim: 0.0445 (0.0444) loss_contra: 0.0007 (0.0044) time: 2.6866 data: 0.0050 max mem: 31630 Epoch: [18] [4090/5278] eta: 0:53:07 lr: 2.8266824477866977e-05 loss: 0.0711 (0.0790) loss_seg: 0.0706 (0.0785) loss_lansim: 0.0446 (0.0444) loss_contra: 0.0008 (0.0044) time: 2.6850 data: 0.0050 max mem: 31630 Epoch: [18] [4100/5278] eta: 0:52:40 lr: 2.8264553533383113e-05 loss: 0.0711 (0.0790) loss_seg: 0.0706 (0.0785) loss_lansim: 0.0445 (0.0444) loss_contra: 0.0007 (0.0044) time: 2.6826 data: 0.0050 max mem: 31630 Epoch: [18] [4110/5278] eta: 0:52:13 lr: 2.826228256862558e-05 loss: 0.0729 (0.0789) loss_seg: 0.0724 (0.0785) loss_lansim: 0.0455 (0.0444) loss_contra: 0.0007 (0.0045) time: 2.6824 data: 0.0050 max mem: 31630 Epoch: [18] [4120/5278] eta: 0:51:47 lr: 2.826001158359239e-05 loss: 0.0757 (0.0790) loss_seg: 0.0753 (0.0785) loss_lansim: 0.0463 (0.0444) loss_contra: 0.0007 (0.0044) time: 2.6829 data: 0.0050 max mem: 31630 Epoch: [18] [4130/5278] eta: 0:51:20 lr: 2.825774057828156e-05 loss: 0.0756 (0.0790) loss_seg: 0.0751 (0.0785) loss_lansim: 0.0468 (0.0444) loss_contra: 0.0005 (0.0044) time: 2.6777 data: 0.0050 max mem: 31630 Epoch: [18] [4140/5278] eta: 0:50:53 lr: 2.8255469552691078e-05 loss: 0.0735 (0.0790) loss_seg: 0.0730 (0.0785) loss_lansim: 0.0474 (0.0444) loss_contra: 0.0005 (0.0044) time: 2.6803 data: 0.0050 max mem: 31630 Epoch: [18] [4150/5278] eta: 0:50:26 lr: 2.8253198506818973e-05 loss: 0.0735 (0.0790) loss_seg: 0.0730 (0.0785) loss_lansim: 0.0477 (0.0444) loss_contra: 0.0006 (0.0044) time: 2.6791 data: 0.0050 max mem: 31630 Epoch: [18] [4160/5278] eta: 0:49:59 lr: 2.8250927440663237e-05 loss: 0.0726 (0.0789) loss_seg: 0.0722 (0.0784) loss_lansim: 0.0477 (0.0444) loss_contra: 0.0006 (0.0044) time: 2.6794 data: 0.0050 max mem: 31630 Epoch: [18] [4170/5278] eta: 0:49:32 lr: 2.8248656354221886e-05 loss: 0.0726 (0.0789) loss_seg: 0.0722 (0.0784) loss_lansim: 0.0480 (0.0445) loss_contra: 0.0005 (0.0044) time: 2.6763 data: 0.0050 max mem: 31630 Epoch: [18] [4180/5278] eta: 0:49:05 lr: 2.824638524749293e-05 loss: 0.0722 (0.0789) loss_seg: 0.0717 (0.0784) loss_lansim: 0.0474 (0.0445) loss_contra: 0.0005 (0.0044) time: 2.6796 data: 0.0050 max mem: 31630 Epoch: [18] [4190/5278] eta: 0:48:39 lr: 2.8244114120474365e-05 loss: 0.0711 (0.0789) loss_seg: 0.0706 (0.0784) loss_lansim: 0.0478 (0.0445) loss_contra: 0.0005 (0.0044) time: 2.6780 data: 0.0050 max mem: 31630 Epoch: [18] [4200/5278] eta: 0:48:12 lr: 2.82418429731642e-05 loss: 0.0716 (0.0789) loss_seg: 0.0711 (0.0784) loss_lansim: 0.0480 (0.0445) loss_contra: 0.0005 (0.0044) time: 2.6797 data: 0.0050 max mem: 31630 Epoch: [18] [4210/5278] eta: 0:47:45 lr: 2.823957180556045e-05 loss: 0.0716 (0.0789) loss_seg: 0.0711 (0.0784) loss_lansim: 0.0474 (0.0445) loss_contra: 0.0004 (0.0044) time: 2.6801 data: 0.0050 max mem: 31630 Epoch: [18] [4220/5278] eta: 0:47:18 lr: 2.8237300617661096e-05 loss: 0.0693 (0.0789) loss_seg: 0.0687 (0.0784) loss_lansim: 0.0475 (0.0445) loss_contra: 0.0004 (0.0044) time: 2.6781 data: 0.0050 max mem: 31630 Epoch: [18] [4230/5278] eta: 0:46:51 lr: 2.8235029409464176e-05 loss: 0.0692 (0.0789) loss_seg: 0.0687 (0.0784) loss_lansim: 0.0479 (0.0445) loss_contra: 0.0005 (0.0044) time: 2.6842 data: 0.0050 max mem: 31630 Epoch: [18] [4240/5278] eta: 0:46:24 lr: 2.8232758180967668e-05 loss: 0.0726 (0.0790) loss_seg: 0.0722 (0.0785) loss_lansim: 0.0482 (0.0445) loss_contra: 0.0004 (0.0044) time: 2.6806 data: 0.0050 max mem: 31630 Epoch: [18] [4250/5278] eta: 0:45:58 lr: 2.8230486932169586e-05 loss: 0.0697 (0.0790) loss_seg: 0.0693 (0.0785) loss_lansim: 0.0493 (0.0446) loss_contra: 0.0004 (0.0044) time: 2.6843 data: 0.0050 max mem: 31630 Epoch: [18] [4260/5278] eta: 0:45:31 lr: 2.8228215663067935e-05 loss: 0.0714 (0.0790) loss_seg: 0.0708 (0.0785) loss_lansim: 0.0500 (0.0446) loss_contra: 0.0004 (0.0044) time: 2.6789 data: 0.0050 max mem: 31630 Epoch: [18] [4270/5278] eta: 0:45:04 lr: 2.822594437366071e-05 loss: 0.0762 (0.0790) loss_seg: 0.0757 (0.0785) loss_lansim: 0.0502 (0.0446) loss_contra: 0.0004 (0.0044) time: 2.6809 data: 0.0050 max mem: 31630 Epoch: [18] [4280/5278] eta: 0:44:37 lr: 2.822367306394593e-05 loss: 0.0739 (0.0790) loss_seg: 0.0728 (0.0785) loss_lansim: 0.0529 (0.0447) loss_contra: 0.0004 (0.0044) time: 2.6781 data: 0.0051 max mem: 31630 Epoch: [18] [4290/5278] eta: 0:44:10 lr: 2.8221401733921587e-05 loss: 0.0748 (0.0790) loss_seg: 0.0744 (0.0785) loss_lansim: 0.0531 (0.0447) loss_contra: 0.0004 (0.0044) time: 2.6787 data: 0.0051 max mem: 31630 Epoch: [18] [4300/5278] eta: 0:43:43 lr: 2.8219130383585678e-05 loss: 0.0714 (0.0789) loss_seg: 0.0708 (0.0784) loss_lansim: 0.0537 (0.0447) loss_contra: 0.0005 (0.0044) time: 2.6788 data: 0.0050 max mem: 31630 Epoch: [18] [4310/5278] eta: 0:43:16 lr: 2.821685901293622e-05 loss: 0.0727 (0.0789) loss_seg: 0.0721 (0.0784) loss_lansim: 0.0544 (0.0447) loss_contra: 0.0005 (0.0044) time: 2.6762 data: 0.0051 max mem: 31630 Epoch: [18] [4320/5278] eta: 0:42:50 lr: 2.82145876219712e-05 loss: 0.0740 (0.0789) loss_seg: 0.0734 (0.0785) loss_lansim: 0.0549 (0.0448) loss_contra: 0.0005 (0.0044) time: 2.6768 data: 0.0050 max mem: 31630 Epoch: [18] [4330/5278] eta: 0:42:23 lr: 2.8212316210688622e-05 loss: 0.0729 (0.0789) loss_seg: 0.0724 (0.0784) loss_lansim: 0.0553 (0.0448) loss_contra: 0.0005 (0.0044) time: 2.6727 data: 0.0050 max mem: 31630 Epoch: [18] [4340/5278] eta: 0:41:56 lr: 2.821004477908649e-05 loss: 0.0700 (0.0789) loss_seg: 0.0691 (0.0784) loss_lansim: 0.0553 (0.0448) loss_contra: 0.0005 (0.0044) time: 2.6736 data: 0.0050 max mem: 31630 Epoch: [18] [4350/5278] eta: 0:41:29 lr: 2.82077733271628e-05 loss: 0.0712 (0.0789) loss_seg: 0.0702 (0.0784) loss_lansim: 0.0550 (0.0448) loss_contra: 0.0005 (0.0044) time: 2.6750 data: 0.0050 max mem: 31630 Epoch: [18] [4360/5278] eta: 0:41:02 lr: 2.8205501854915567e-05 loss: 0.0727 (0.0789) loss_seg: 0.0721 (0.0784) loss_lansim: 0.0553 (0.0449) loss_contra: 0.0005 (0.0044) time: 2.6793 data: 0.0050 max mem: 31630 Epoch: [18] [4370/5278] eta: 0:40:36 lr: 2.8203230362342768e-05 loss: 0.0712 (0.0789) loss_seg: 0.0702 (0.0784) loss_lansim: 0.0550 (0.0449) loss_contra: 0.0007 (0.0044) time: 2.6808 data: 0.0050 max mem: 31630 Epoch: [18] [4380/5278] eta: 0:40:09 lr: 2.8200958849442415e-05 loss: 0.0748 (0.0790) loss_seg: 0.0743 (0.0785) loss_lansim: 0.0539 (0.0449) loss_contra: 0.0005 (0.0044) time: 2.6803 data: 0.0050 max mem: 31630 Epoch: [18] [4390/5278] eta: 0:39:42 lr: 2.8198687316212513e-05 loss: 0.0748 (0.0790) loss_seg: 0.0743 (0.0785) loss_lansim: 0.0534 (0.0449) loss_contra: 0.0005 (0.0044) time: 2.6829 data: 0.0051 max mem: 31630 Epoch: [18] [4400/5278] eta: 0:39:15 lr: 2.8196415762651045e-05 loss: 0.0765 (0.0790) loss_seg: 0.0759 (0.0785) loss_lansim: 0.0527 (0.0449) loss_contra: 0.0005 (0.0044) time: 2.6801 data: 0.0051 max mem: 31630 Epoch: [18] [4410/5278] eta: 0:38:48 lr: 2.8194144188756016e-05 loss: 0.0766 (0.0790) loss_seg: 0.0761 (0.0785) loss_lansim: 0.0523 (0.0449) loss_contra: 0.0004 (0.0044) time: 2.6828 data: 0.0051 max mem: 31630 Epoch: [18] [4420/5278] eta: 0:38:21 lr: 2.8191872594525433e-05 loss: 0.0762 (0.0790) loss_seg: 0.0751 (0.0785) loss_lansim: 0.0517 (0.0449) loss_contra: 0.0005 (0.0044) time: 2.6812 data: 0.0051 max mem: 31630 Epoch: [18] [4430/5278] eta: 0:37:54 lr: 2.818960097995727e-05 loss: 0.0766 (0.0790) loss_seg: 0.0760 (0.0785) loss_lansim: 0.0497 (0.0449) loss_contra: 0.0005 (0.0044) time: 2.6800 data: 0.0052 max mem: 31630 Epoch: [18] [4440/5278] eta: 0:37:28 lr: 2.8187329345049547e-05 loss: 0.0766 (0.0790) loss_seg: 0.0760 (0.0785) loss_lansim: 0.0486 (0.0449) loss_contra: 0.0005 (0.0044) time: 2.6768 data: 0.0053 max mem: 31630 Epoch: [18] [4450/5278] eta: 0:37:01 lr: 2.818505768980025e-05 loss: 0.0762 (0.0790) loss_seg: 0.0750 (0.0785) loss_lansim: 0.0479 (0.0449) loss_contra: 0.0006 (0.0044) time: 2.6758 data: 0.0054 max mem: 31630 Epoch: [18] [4460/5278] eta: 0:36:34 lr: 2.8182786014207374e-05 loss: 0.0766 (0.0790) loss_seg: 0.0760 (0.0785) loss_lansim: 0.0469 (0.0449) loss_contra: 0.0005 (0.0044) time: 2.6725 data: 0.0054 max mem: 31630 Epoch: [18] [4470/5278] eta: 0:36:07 lr: 2.8180514318268924e-05 loss: 0.0766 (0.0790) loss_seg: 0.0760 (0.0785) loss_lansim: 0.0452 (0.0449) loss_contra: 0.0005 (0.0044) time: 2.6702 data: 0.0054 max mem: 31630 Epoch: [18] [4480/5278] eta: 0:35:40 lr: 2.8178242601982886e-05 loss: 0.0749 (0.0790) loss_seg: 0.0744 (0.0785) loss_lansim: 0.0447 (0.0449) loss_contra: 0.0005 (0.0044) time: 2.6688 data: 0.0054 max mem: 31630 Epoch: [18] [4490/5278] eta: 0:35:13 lr: 2.8175970865347257e-05 loss: 0.0749 (0.0790) loss_seg: 0.0744 (0.0785) loss_lansim: 0.0444 (0.0449) loss_contra: 0.0005 (0.0044) time: 2.6708 data: 0.0054 max mem: 31630 Epoch: [18] [4500/5278] eta: 0:34:47 lr: 2.8173699108360035e-05 loss: 0.0742 (0.0790) loss_seg: 0.0738 (0.0785) loss_lansim: 0.0436 (0.0449) loss_contra: 0.0005 (0.0044) time: 2.6712 data: 0.0054 max mem: 31630 Epoch: [18] [4510/5278] eta: 0:34:20 lr: 2.8171427331019202e-05 loss: 0.0747 (0.0790) loss_seg: 0.0743 (0.0785) loss_lansim: 0.0436 (0.0449) loss_contra: 0.0005 (0.0044) time: 2.6721 data: 0.0054 max mem: 31630 Epoch: [18] [4520/5278] eta: 0:33:53 lr: 2.8169155533322777e-05 loss: 0.0749 (0.0790) loss_seg: 0.0744 (0.0785) loss_lansim: 0.0431 (0.0449) loss_contra: 0.0005 (0.0044) time: 2.6701 data: 0.0054 max mem: 31630 Epoch: [18] [4530/5278] eta: 0:33:26 lr: 2.8166883715268725e-05 loss: 0.0747 (0.0790) loss_seg: 0.0743 (0.0785) loss_lansim: 0.0430 (0.0449) loss_contra: 0.0004 (0.0044) time: 2.6765 data: 0.0054 max mem: 31630 Epoch: [18] [4540/5278] eta: 0:32:59 lr: 2.816461187685506e-05 loss: 0.0750 (0.0790) loss_seg: 0.0745 (0.0785) loss_lansim: 0.0426 (0.0449) loss_contra: 0.0004 (0.0044) time: 2.6763 data: 0.0053 max mem: 31630 Epoch: [18] [4550/5278] eta: 0:32:32 lr: 2.8162340018079775e-05 loss: 0.0750 (0.0790) loss_seg: 0.0745 (0.0785) loss_lansim: 0.0422 (0.0449) loss_contra: 0.0004 (0.0044) time: 2.6729 data: 0.0052 max mem: 31630 Epoch: [18] [4560/5278] eta: 0:32:05 lr: 2.8160068138940838e-05 loss: 0.0750 (0.0790) loss_seg: 0.0745 (0.0785) loss_lansim: 0.0421 (0.0449) loss_contra: 0.0004 (0.0044) time: 2.6705 data: 0.0052 max mem: 31630 Epoch: [18] [4570/5278] eta: 0:31:39 lr: 2.8157796239436274e-05 loss: 0.0747 (0.0790) loss_seg: 0.0743 (0.0785) loss_lansim: 0.0419 (0.0449) loss_contra: 0.0004 (0.0044) time: 2.6730 data: 0.0052 max mem: 31630 Epoch: [18] [4580/5278] eta: 0:31:12 lr: 2.8155524319564048e-05 loss: 0.0750 (0.0789) loss_seg: 0.0745 (0.0784) loss_lansim: 0.0415 (0.0449) loss_contra: 0.0003 (0.0044) time: 2.6751 data: 0.0053 max mem: 31630 Epoch: [18] [4590/5278] eta: 0:30:45 lr: 2.8153252379322166e-05 loss: 0.0733 (0.0789) loss_seg: 0.0729 (0.0784) loss_lansim: 0.0412 (0.0448) loss_contra: 0.0003 (0.0044) time: 2.6737 data: 0.0052 max mem: 31630 Epoch: [18] [4600/5278] eta: 0:30:18 lr: 2.815098041870861e-05 loss: 0.0737 (0.0789) loss_seg: 0.0733 (0.0784) loss_lansim: 0.0407 (0.0448) loss_contra: 0.0003 (0.0044) time: 2.6778 data: 0.0052 max mem: 31630 Epoch: [18] [4610/5278] eta: 0:29:51 lr: 2.8148708437721384e-05 loss: 0.0746 (0.0789) loss_seg: 0.0741 (0.0785) loss_lansim: 0.0408 (0.0448) loss_contra: 0.0003 (0.0044) time: 2.6744 data: 0.0052 max mem: 31630 Epoch: [18] [4620/5278] eta: 0:29:25 lr: 2.814643643635846e-05 loss: 0.0738 (0.0789) loss_seg: 0.0734 (0.0785) loss_lansim: 0.0412 (0.0448) loss_contra: 0.0003 (0.0044) time: 2.6805 data: 0.0052 max mem: 31630 Epoch: [18] [4630/5278] eta: 0:28:58 lr: 2.8144164414617846e-05 loss: 0.0742 (0.0790) loss_seg: 0.0737 (0.0785) loss_lansim: 0.0413 (0.0448) loss_contra: 0.0002 (0.0044) time: 2.6781 data: 0.0052 max mem: 31630 Epoch: [18] [4640/5278] eta: 0:28:31 lr: 2.8141892372497508e-05 loss: 0.0735 (0.0790) loss_seg: 0.0731 (0.0785) loss_lansim: 0.0408 (0.0448) loss_contra: 0.0003 (0.0044) time: 2.6813 data: 0.0052 max mem: 31630 Epoch: [18] [4650/5278] eta: 0:28:04 lr: 2.8139620309995463e-05 loss: 0.0733 (0.0789) loss_seg: 0.0729 (0.0784) loss_lansim: 0.0408 (0.0448) loss_contra: 0.0003 (0.0044) time: 2.6827 data: 0.0052 max mem: 31630 Epoch: [18] [4660/5278] eta: 0:27:37 lr: 2.813734822710968e-05 loss: 0.0717 (0.0789) loss_seg: 0.0712 (0.0784) loss_lansim: 0.0409 (0.0448) loss_contra: 0.0003 (0.0044) time: 2.6889 data: 0.0052 max mem: 31630 Epoch: [18] [4670/5278] eta: 0:27:10 lr: 2.813507612383815e-05 loss: 0.0715 (0.0789) loss_seg: 0.0711 (0.0785) loss_lansim: 0.0407 (0.0448) loss_contra: 0.0003 (0.0044) time: 2.6827 data: 0.0052 max mem: 31630 Epoch: [18] [4680/5278] eta: 0:26:44 lr: 2.8132804000178877e-05 loss: 0.0735 (0.0790) loss_seg: 0.0731 (0.0785) loss_lansim: 0.0406 (0.0448) loss_contra: 0.0004 (0.0044) time: 2.6867 data: 0.0052 max mem: 31630 Epoch: [18] [4690/5278] eta: 0:26:17 lr: 2.8130531856129823e-05 loss: 0.0735 (0.0790) loss_seg: 0.0731 (0.0785) loss_lansim: 0.0406 (0.0448) loss_contra: 0.0004 (0.0044) time: 2.6823 data: 0.0052 max mem: 31630 Epoch: [18] [4700/5278] eta: 0:25:50 lr: 2.812825969168899e-05 loss: 0.0713 (0.0790) loss_seg: 0.0709 (0.0785) loss_lansim: 0.0411 (0.0448) loss_contra: 0.0004 (0.0044) time: 2.6817 data: 0.0052 max mem: 31630 Epoch: [18] [4710/5278] eta: 0:25:23 lr: 2.8125987506854367e-05 loss: 0.0701 (0.0790) loss_seg: 0.0697 (0.0785) loss_lansim: 0.0409 (0.0448) loss_contra: 0.0005 (0.0044) time: 2.6813 data: 0.0052 max mem: 31630 Epoch: [18] [4720/5278] eta: 0:24:56 lr: 2.8123715301623927e-05 loss: 0.0680 (0.0790) loss_seg: 0.0676 (0.0785) loss_lansim: 0.0405 (0.0447) loss_contra: 0.0006 (0.0044) time: 2.6800 data: 0.0052 max mem: 31630 Epoch: [18] [4730/5278] eta: 0:24:29 lr: 2.8121443075995673e-05 loss: 0.0701 (0.0790) loss_seg: 0.0697 (0.0785) loss_lansim: 0.0400 (0.0447) loss_contra: 0.0007 (0.0044) time: 2.6743 data: 0.0052 max mem: 31630 Epoch: [18] [4740/5278] eta: 0:24:03 lr: 2.811917082996758e-05 loss: 0.0705 (0.0790) loss_seg: 0.0701 (0.0785) loss_lansim: 0.0403 (0.0447) loss_contra: 0.0007 (0.0044) time: 2.6760 data: 0.0052 max mem: 31630 Epoch: [18] [4750/5278] eta: 0:23:36 lr: 2.811689856353763e-05 loss: 0.0701 (0.0790) loss_seg: 0.0697 (0.0785) loss_lansim: 0.0403 (0.0447) loss_contra: 0.0012 (0.0045) time: 2.6736 data: 0.0052 max mem: 31630 Epoch: [18] [4760/5278] eta: 0:23:09 lr: 2.8114626276703822e-05 loss: 0.0701 (0.0790) loss_seg: 0.0697 (0.0785) loss_lansim: 0.0400 (0.0447) loss_contra: 0.0012 (0.0045) time: 2.6714 data: 0.0052 max mem: 31630 Epoch: [18] [4770/5278] eta: 0:22:42 lr: 2.8112353969464116e-05 loss: 0.0701 (0.0790) loss_seg: 0.0697 (0.0785) loss_lansim: 0.0396 (0.0447) loss_contra: 0.0013 (0.0045) time: 2.6758 data: 0.0052 max mem: 31630 Epoch: [18] [4780/5278] eta: 0:22:15 lr: 2.8110081641816534e-05 loss: 0.0701 (0.0790) loss_seg: 0.0697 (0.0785) loss_lansim: 0.0394 (0.0447) loss_contra: 0.0014 (0.0045) time: 2.6729 data: 0.0052 max mem: 31630 Epoch: [18] [4790/5278] eta: 0:21:48 lr: 2.810780929375902e-05 loss: 0.0701 (0.0790) loss_seg: 0.0697 (0.0785) loss_lansim: 0.0390 (0.0447) loss_contra: 0.0016 (0.0045) time: 2.6735 data: 0.0051 max mem: 31630 Epoch: [18] [4800/5278] eta: 0:21:22 lr: 2.8105536925289578e-05 loss: 0.0701 (0.0790) loss_seg: 0.0697 (0.0785) loss_lansim: 0.0380 (0.0446) loss_contra: 0.0018 (0.0045) time: 2.6752 data: 0.0052 max mem: 31630 Epoch: [18] [4810/5278] eta: 0:20:55 lr: 2.8103264536406193e-05 loss: 0.0722 (0.0790) loss_seg: 0.0718 (0.0785) loss_lansim: 0.0372 (0.0446) loss_contra: 0.0019 (0.0045) time: 2.6745 data: 0.0051 max mem: 31630 Epoch: [18] [4820/5278] eta: 0:20:28 lr: 2.810099212710684e-05 loss: 0.0724 (0.0790) loss_seg: 0.0720 (0.0785) loss_lansim: 0.0371 (0.0446) loss_contra: 0.0027 (0.0045) time: 2.6765 data: 0.0051 max mem: 31630 Epoch: [18] [4830/5278] eta: 0:20:01 lr: 2.8098719697389498e-05 loss: 0.0710 (0.0790) loss_seg: 0.0707 (0.0785) loss_lansim: 0.0369 (0.0446) loss_contra: 0.0024 (0.0045) time: 2.6787 data: 0.0051 max mem: 31630 Epoch: [18] [4840/5278] eta: 0:19:34 lr: 2.8096447247252163e-05 loss: 0.0710 (0.0790) loss_seg: 0.0707 (0.0785) loss_lansim: 0.0365 (0.0446) loss_contra: 0.0016 (0.0045) time: 2.6777 data: 0.0051 max mem: 31630 Epoch: [18] [4850/5278] eta: 0:19:07 lr: 2.8094174776692795e-05 loss: 0.0721 (0.0790) loss_seg: 0.0717 (0.0785) loss_lansim: 0.0360 (0.0446) loss_contra: 0.0016 (0.0045) time: 2.6764 data: 0.0051 max mem: 31630 Epoch: [18] [4860/5278] eta: 0:18:41 lr: 2.8091902285709397e-05 loss: 0.0722 (0.0790) loss_seg: 0.0718 (0.0785) loss_lansim: 0.0354 (0.0445) loss_contra: 0.0016 (0.0045) time: 2.6779 data: 0.0051 max mem: 31630 Epoch: [18] [4870/5278] eta: 0:18:14 lr: 2.8089629774299935e-05 loss: 0.0721 (0.0790) loss_seg: 0.0718 (0.0785) loss_lansim: 0.0347 (0.0445) loss_contra: 0.0016 (0.0045) time: 2.6762 data: 0.0051 max mem: 31630 Epoch: [18] [4880/5278] eta: 0:17:47 lr: 2.80873572424624e-05 loss: 0.0708 (0.0790) loss_seg: 0.0700 (0.0785) loss_lansim: 0.0343 (0.0445) loss_contra: 0.0016 (0.0045) time: 2.6771 data: 0.0051 max mem: 31630 Epoch: [18] [4890/5278] eta: 0:17:20 lr: 2.8085084690194764e-05 loss: 0.0700 (0.0790) loss_seg: 0.0695 (0.0785) loss_lansim: 0.0341 (0.0445) loss_contra: 0.0016 (0.0046) time: 2.6780 data: 0.0052 max mem: 31630 Epoch: [18] [4900/5278] eta: 0:16:53 lr: 2.8082812117495004e-05 loss: 0.0705 (0.0790) loss_seg: 0.0700 (0.0785) loss_lansim: 0.0338 (0.0444) loss_contra: 0.0016 (0.0046) time: 2.6736 data: 0.0052 max mem: 31630 Epoch: [18] [4910/5278] eta: 0:16:27 lr: 2.808053952436111e-05 loss: 0.0692 (0.0790) loss_seg: 0.0689 (0.0785) loss_lansim: 0.0334 (0.0444) loss_contra: 0.0021 (0.0046) time: 2.6746 data: 0.0052 max mem: 31630 Epoch: [18] [4920/5278] eta: 0:16:00 lr: 2.8078266910791057e-05 loss: 0.0666 (0.0790) loss_seg: 0.0663 (0.0785) loss_lansim: 0.0328 (0.0444) loss_contra: 0.0021 (0.0046) time: 2.6724 data: 0.0052 max mem: 31630 Epoch: [18] [4930/5278] eta: 0:15:33 lr: 2.807599427678281e-05 loss: 0.0666 (0.0790) loss_seg: 0.0663 (0.0785) loss_lansim: 0.0327 (0.0444) loss_contra: 0.0021 (0.0046) time: 2.6705 data: 0.0052 max mem: 31630 Epoch: [18] [4940/5278] eta: 0:15:06 lr: 2.8073721622334364e-05 loss: 0.0695 (0.0790) loss_seg: 0.0690 (0.0785) loss_lansim: 0.0323 (0.0443) loss_contra: 0.0016 (0.0046) time: 2.6697 data: 0.0052 max mem: 31630 Epoch: [18] [4950/5278] eta: 0:14:39 lr: 2.8071448947443684e-05 loss: 0.0705 (0.0790) loss_seg: 0.0700 (0.0785) loss_lansim: 0.0322 (0.0443) loss_contra: 0.0016 (0.0046) time: 2.6687 data: 0.0052 max mem: 31630 Epoch: [18] [4960/5278] eta: 0:14:12 lr: 2.806917625210876e-05 loss: 0.0695 (0.0790) loss_seg: 0.0690 (0.0785) loss_lansim: 0.0320 (0.0443) loss_contra: 0.0015 (0.0046) time: 2.6677 data: 0.0052 max mem: 31630 Epoch: [18] [4970/5278] eta: 0:13:46 lr: 2.806690353632756e-05 loss: 0.0677 (0.0790) loss_seg: 0.0673 (0.0785) loss_lansim: 0.0319 (0.0443) loss_contra: 0.0015 (0.0046) time: 2.6662 data: 0.0052 max mem: 31630 Epoch: [18] [4980/5278] eta: 0:13:19 lr: 2.8064630800098063e-05 loss: 0.0677 (0.0790) loss_seg: 0.0673 (0.0785) loss_lansim: 0.0319 (0.0442) loss_contra: 0.0014 (0.0046) time: 2.6636 data: 0.0052 max mem: 31630 Epoch: [18] [4990/5278] eta: 0:12:52 lr: 2.8062358043418247e-05 loss: 0.0705 (0.0790) loss_seg: 0.0700 (0.0785) loss_lansim: 0.0319 (0.0442) loss_contra: 0.0011 (0.0046) time: 2.6590 data: 0.0051 max mem: 31630 Epoch: [18] [5000/5278] eta: 0:12:25 lr: 2.8060085266286086e-05 loss: 0.0679 (0.0790) loss_seg: 0.0676 (0.0785) loss_lansim: 0.0319 (0.0442) loss_contra: 0.0012 (0.0046) time: 2.6613 data: 0.0051 max mem: 31630 Epoch: [18] [5010/5278] eta: 0:11:58 lr: 2.8057812468699546e-05 loss: 0.0696 (0.0790) loss_seg: 0.0693 (0.0785) loss_lansim: 0.0316 (0.0442) loss_contra: 0.0011 (0.0046) time: 2.6595 data: 0.0051 max mem: 31630 Epoch: [18] [5020/5278] eta: 0:11:31 lr: 2.805553965065662e-05 loss: 0.0715 (0.0790) loss_seg: 0.0712 (0.0785) loss_lansim: 0.0313 (0.0441) loss_contra: 0.0009 (0.0046) time: 2.6552 data: 0.0051 max mem: 31630 Epoch: [18] [5030/5278] eta: 0:11:05 lr: 2.8053266812155266e-05 loss: 0.0715 (0.0790) loss_seg: 0.0712 (0.0785) loss_lansim: 0.0313 (0.0441) loss_contra: 0.0008 (0.0046) time: 2.6576 data: 0.0051 max mem: 31630 Epoch: [18] [5040/5278] eta: 0:10:38 lr: 2.8050993953193467e-05 loss: 0.0715 (0.0790) loss_seg: 0.0712 (0.0785) loss_lansim: 0.0308 (0.0441) loss_contra: 0.0007 (0.0047) time: 2.6550 data: 0.0051 max mem: 31630 Epoch: [18] [5050/5278] eta: 0:10:11 lr: 2.8048721073769203e-05 loss: 0.0715 (0.0790) loss_seg: 0.0712 (0.0785) loss_lansim: 0.0306 (0.0441) loss_contra: 0.0008 (0.0047) time: 2.6596 data: 0.0051 max mem: 31630 Epoch: [18] [5060/5278] eta: 0:09:44 lr: 2.8046448173880425e-05 loss: 0.0723 (0.0790) loss_seg: 0.0720 (0.0785) loss_lansim: 0.0304 (0.0440) loss_contra: 0.0009 (0.0047) time: 2.6534 data: 0.0051 max mem: 31630 Epoch: [18] [5070/5278] eta: 0:09:17 lr: 2.804417525352513e-05 loss: 0.0731 (0.0790) loss_seg: 0.0727 (0.0785) loss_lansim: 0.0295 (0.0440) loss_contra: 0.0010 (0.0047) time: 2.6570 data: 0.0051 max mem: 31630 Epoch: [18] [5080/5278] eta: 0:08:50 lr: 2.804190231270128e-05 loss: 0.0731 (0.0790) loss_seg: 0.0727 (0.0785) loss_lansim: 0.0295 (0.0440) loss_contra: 0.0008 (0.0047) time: 2.6534 data: 0.0051 max mem: 31630 Epoch: [18] [5090/5278] eta: 0:08:24 lr: 2.8039629351406842e-05 loss: 0.0723 (0.0790) loss_seg: 0.0720 (0.0785) loss_lansim: 0.0294 (0.0439) loss_contra: 0.0008 (0.0047) time: 2.6588 data: 0.0052 max mem: 31630 Epoch: [18] [5100/5278] eta: 0:07:57 lr: 2.8037356369639805e-05 loss: 0.0727 (0.0790) loss_seg: 0.0724 (0.0785) loss_lansim: 0.0294 (0.0439) loss_contra: 0.0007 (0.0047) time: 2.6571 data: 0.0052 max mem: 31630 Epoch: [18] [5110/5278] eta: 0:07:30 lr: 2.8035083367398124e-05 loss: 0.0738 (0.0790) loss_seg: 0.0735 (0.0786) loss_lansim: 0.0296 (0.0439) loss_contra: 0.0008 (0.0047) time: 2.6613 data: 0.0052 max mem: 31630 Epoch: [18] [5120/5278] eta: 0:07:03 lr: 2.803281034467977e-05 loss: 0.0727 (0.0790) loss_seg: 0.0724 (0.0785) loss_lansim: 0.0298 (0.0439) loss_contra: 0.0007 (0.0047) time: 2.6615 data: 0.0051 max mem: 31630 Epoch: [18] [5130/5278] eta: 0:06:36 lr: 2.803053730148273e-05 loss: 0.0688 (0.0790) loss_seg: 0.0684 (0.0785) loss_lansim: 0.0298 (0.0439) loss_contra: 0.0007 (0.0047) time: 2.6637 data: 0.0052 max mem: 31630 Epoch: [18] [5140/5278] eta: 0:06:10 lr: 2.8028264237804953e-05 loss: 0.0682 (0.0790) loss_seg: 0.0679 (0.0785) loss_lansim: 0.0301 (0.0438) loss_contra: 0.0007 (0.0047) time: 2.6677 data: 0.0051 max mem: 31630 Epoch: [18] [5150/5278] eta: 0:05:43 lr: 2.8025991153644425e-05 loss: 0.0688 (0.0790) loss_seg: 0.0684 (0.0785) loss_lansim: 0.0301 (0.0438) loss_contra: 0.0007 (0.0047) time: 2.6638 data: 0.0051 max mem: 31630 Epoch: [18] [5160/5278] eta: 0:05:16 lr: 2.8023718048999108e-05 loss: 0.0689 (0.0790) loss_seg: 0.0686 (0.0785) loss_lansim: 0.0308 (0.0438) loss_contra: 0.0007 (0.0047) time: 2.6719 data: 0.0052 max mem: 31630 Epoch: [18] [5170/5278] eta: 0:04:49 lr: 2.802144492386697e-05 loss: 0.0681 (0.0790) loss_seg: 0.0677 (0.0785) loss_lansim: 0.0309 (0.0438) loss_contra: 0.0006 (0.0047) time: 2.6725 data: 0.0052 max mem: 31630 Epoch: [18] [5180/5278] eta: 0:04:22 lr: 2.801917177824599e-05 loss: 0.0681 (0.0790) loss_seg: 0.0678 (0.0785) loss_lansim: 0.0308 (0.0437) loss_contra: 0.0006 (0.0047) time: 2.6759 data: 0.0052 max mem: 31630 Epoch: [18] [5190/5278] eta: 0:03:55 lr: 2.8016898612134123e-05 loss: 0.0667 (0.0790) loss_seg: 0.0661 (0.0785) loss_lansim: 0.0312 (0.0437) loss_contra: 0.0006 (0.0047) time: 2.6753 data: 0.0052 max mem: 31630 Epoch: [18] [5200/5278] eta: 0:03:29 lr: 2.8014625425529345e-05 loss: 0.0664 (0.0789) loss_seg: 0.0661 (0.0784) loss_lansim: 0.0308 (0.0437) loss_contra: 0.0006 (0.0047) time: 2.6765 data: 0.0052 max mem: 31630 Epoch: [18] [5210/5278] eta: 0:03:02 lr: 2.8012352218429626e-05 loss: 0.0667 (0.0789) loss_seg: 0.0663 (0.0784) loss_lansim: 0.0305 (0.0437) loss_contra: 0.0005 (0.0047) time: 2.6736 data: 0.0052 max mem: 31630 Epoch: [18] [5220/5278] eta: 0:02:35 lr: 2.8010078990832922e-05 loss: 0.0693 (0.0789) loss_seg: 0.0684 (0.0784) loss_lansim: 0.0299 (0.0436) loss_contra: 0.0005 (0.0047) time: 2.6777 data: 0.0052 max mem: 31630 Epoch: [18] [5230/5278] eta: 0:02:08 lr: 2.8007805742737215e-05 loss: 0.0710 (0.0789) loss_seg: 0.0707 (0.0784) loss_lansim: 0.0296 (0.0436) loss_contra: 0.0007 (0.0047) time: 2.6743 data: 0.0052 max mem: 31630 Epoch: [18] [5240/5278] eta: 0:01:41 lr: 2.8005532474140457e-05 loss: 0.0695 (0.0789) loss_seg: 0.0691 (0.0784) loss_lansim: 0.0290 (0.0436) loss_contra: 0.0008 (0.0047) time: 2.6774 data: 0.0052 max mem: 31630 Epoch: [18] [5250/5278] eta: 0:01:15 lr: 2.8003259185040613e-05 loss: 0.0710 (0.0789) loss_seg: 0.0707 (0.0784) loss_lansim: 0.0288 (0.0435) loss_contra: 0.0007 (0.0049) time: 2.6787 data: 0.0052 max mem: 31630 Epoch: [18] [5260/5278] eta: 0:00:48 lr: 2.800098587543567e-05 loss: 0.0673 (0.0789) loss_seg: 0.0670 (0.0784) loss_lansim: 0.0284 (0.0435) loss_contra: 0.0008 (0.0049) time: 2.6795 data: 0.0052 max mem: 31630 Epoch: [18] [5270/5278] eta: 0:00:21 lr: 2.799871254532357e-05 loss: 0.0700 (0.0789) loss_seg: 0.0697 (0.0784) loss_lansim: 0.0281 (0.0435) loss_contra: 0.0010 (0.0049) time: 2.6786 data: 0.0052 max mem: 31630 Epoch: [18] Total time: 3:55:51 Test: [ 0/2573] eta: 0:58:48 time: 1.3714 data: 1.1998 max mem: 31630 Test: [ 100/2573] eta: 0:06:10 time: 0.1375 data: 0.0014 max mem: 31630 Test: [ 200/2573] eta: 0:05:48 time: 0.1440 data: 0.0014 max mem: 31630 Test: [ 300/2573] eta: 0:05:27 time: 0.1386 data: 0.0014 max mem: 31630 Test: [ 400/2573] eta: 0:05:11 time: 0.1404 data: 0.0014 max mem: 31630 Test: [ 500/2573] eta: 0:04:55 time: 0.1408 data: 0.0014 max mem: 31630 Test: [ 600/2573] eta: 0:04:41 time: 0.1425 data: 0.0014 max mem: 31630 Test: [ 700/2573] eta: 0:04:28 time: 0.1460 data: 0.0014 max mem: 31630 Test: [ 800/2573] eta: 0:04:13 time: 0.1433 data: 0.0014 max mem: 31630 Test: [ 900/2573] eta: 0:03:59 time: 0.1434 data: 0.0014 max mem: 31630 Test: [1000/2573] eta: 0:03:45 time: 0.1420 data: 0.0014 max mem: 31630 Test: [1100/2573] eta: 0:03:30 time: 0.1413 data: 0.0014 max mem: 31630 Test: [1200/2573] eta: 0:03:16 time: 0.1434 data: 0.0014 max mem: 31630 Test: [1300/2573] eta: 0:03:01 time: 0.1422 data: 0.0014 max mem: 31630 Test: [1400/2573] eta: 0:02:47 time: 0.1387 data: 0.0014 max mem: 31630 Test: [1500/2573] eta: 0:02:33 time: 0.1431 data: 0.0014 max mem: 31630 Test: [1600/2573] eta: 0:02:18 time: 0.1425 data: 0.0014 max mem: 31630 Test: [1700/2573] eta: 0:02:04 time: 0.1431 data: 0.0014 max mem: 31630 Test: [1800/2573] eta: 0:01:50 time: 0.1403 data: 0.0014 max mem: 31630 Test: [1900/2573] eta: 0:01:35 time: 0.1387 data: 0.0014 max mem: 31630 Test: [2000/2573] eta: 0:01:21 time: 0.1387 data: 0.0014 max mem: 31630 Test: [2100/2573] eta: 0:01:07 time: 0.1430 data: 0.0014 max mem: 31630 Test: [2200/2573] eta: 0:00:52 time: 0.1380 data: 0.0014 max mem: 31630 Test: [2300/2573] eta: 0:00:38 time: 0.1431 data: 0.0014 max mem: 31630 Test: [2400/2573] eta: 0:00:24 time: 0.1409 data: 0.0014 max mem: 31630 Test: [2500/2573] eta: 0:00:10 time: 0.1431 data: 0.0014 max mem: 31630 Test: Total time: 0:06:05 Final results: precision@0.5 = 65.73 precision@0.6 = 60.01 precision@0.7 = 52.66 precision@0.8 = 40.71 precision@0.9 = 19.20 overall IoU = 56.55 mean IoU = 58.38 Epoch: [19] [ 0/5278] eta: 6:20:49 lr: 2.7996893866467377e-05 loss: 0.0532 (0.0532) loss_seg: 0.0529 (0.0529) loss_lansim: 0.0274 (0.0274) loss_contra: 0.0012 (0.0012) time: 4.3292 data: 1.4004 max mem: 31630 Epoch: [19] [ 10/5278] eta: 4:12:37 lr: 2.799462049943729e-05 loss: 0.0756 (0.0798) loss_seg: 0.0752 (0.0795) loss_lansim: 0.0289 (0.0292) loss_contra: 0.0012 (0.0034) time: 2.8774 data: 0.1329 max mem: 31630 Epoch: [19] [ 20/5278] eta: 4:03:33 lr: 2.799234711189435e-05 loss: 0.0756 (0.0730) loss_seg: 0.0752 (0.0726) loss_lansim: 0.0289 (0.0288) loss_contra: 0.0012 (0.0081) time: 2.7794 data: 0.0719 max mem: 31630 Epoch: [19] [ 30/5278] eta: 4:00:19 lr: 2.7990073703836526e-05 loss: 0.0706 (0.0701) loss_seg: 0.0702 (0.0698) loss_lansim: 0.0289 (0.0292) loss_contra: 0.0011 (0.0060) time: 2.7477 data: 0.0506 max mem: 31630 Epoch: [19] [ 40/5278] eta: 3:58:28 lr: 2.7987800275261794e-05 loss: 0.0682 (0.0685) loss_seg: 0.0679 (0.0681) loss_lansim: 0.0289 (0.0289) loss_contra: 0.0009 (0.0053) time: 2.7316 data: 0.0397 max mem: 31630 Epoch: [19] [ 50/5278] eta: 3:57:06 lr: 2.798552682616809e-05 loss: 0.0699 (0.0719) loss_seg: 0.0696 (0.0716) loss_lansim: 0.0289 (0.0290) loss_contra: 0.0009 (0.0050) time: 2.7212 data: 0.0330 max mem: 31630 Epoch: [19] [ 60/5278] eta: 3:55:54 lr: 2.79832533565534e-05 loss: 0.0650 (0.0703) loss_seg: 0.0647 (0.0700) loss_lansim: 0.0289 (0.0293) loss_contra: 0.0011 (0.0047) time: 2.7125 data: 0.0285 max mem: 31630 Epoch: [19] [ 70/5278] eta: 3:54:51 lr: 2.798097986641568e-05 loss: 0.0682 (0.0715) loss_seg: 0.0679 (0.0712) loss_lansim: 0.0289 (0.0293) loss_contra: 0.0009 (0.0042) time: 2.7057 data: 0.0253 max mem: 31630 Epoch: [19] [ 80/5278] eta: 3:54:32 lr: 2.7978706355752882e-05 loss: 0.0706 (0.0750) loss_seg: 0.0702 (0.0747) loss_lansim: 0.0289 (0.0293) loss_contra: 0.0011 (0.0041) time: 2.7072 data: 0.0228 max mem: 31630 Epoch: [19] [ 90/5278] eta: 3:53:35 lr: 2.7976432824562986e-05 loss: 0.0707 (0.0748) loss_seg: 0.0703 (0.0744) loss_lansim: 0.0292 (0.0294) loss_contra: 0.0009 (0.0042) time: 2.7015 data: 0.0209 max mem: 31630 Epoch: [19] [ 100/5278] eta: 3:53:13 lr: 2.7974159272843937e-05 loss: 0.0714 (0.0752) loss_seg: 0.0710 (0.0749) loss_lansim: 0.0293 (0.0294) loss_contra: 0.0011 (0.0043) time: 2.6862 data: 0.0055 max mem: 31630 Epoch: [19] [ 110/5278] eta: 3:52:37 lr: 2.79718857005937e-05 loss: 0.0710 (0.0749) loss_seg: 0.0707 (0.0745) loss_lansim: 0.0295 (0.0296) loss_contra: 0.0011 (0.0046) time: 2.6813 data: 0.0055 max mem: 31630 Epoch: [19] [ 120/5278] eta: 3:52:17 lr: 2.7969612107810245e-05 loss: 0.0706 (0.0751) loss_seg: 0.0702 (0.0747) loss_lansim: 0.0295 (0.0296) loss_contra: 0.0009 (0.0045) time: 2.6860 data: 0.0056 max mem: 31630 Epoch: [19] [ 130/5278] eta: 3:51:39 lr: 2.7967338494491512e-05 loss: 0.0698 (0.0736) loss_seg: 0.0695 (0.0732) loss_lansim: 0.0295 (0.0298) loss_contra: 0.0009 (0.0042) time: 2.6851 data: 0.0056 max mem: 31630 Epoch: [19] [ 140/5278] eta: 3:51:07 lr: 2.7965064860635482e-05 loss: 0.0714 (0.0739) loss_seg: 0.0710 (0.0736) loss_lansim: 0.0295 (0.0298) loss_contra: 0.0009 (0.0040) time: 2.6856 data: 0.0055 max mem: 31630 Epoch: [19] [ 150/5278] eta: 3:50:35 lr: 2.7962791206240103e-05 loss: 0.0670 (0.0731) loss_seg: 0.0667 (0.0727) loss_lansim: 0.0295 (0.0297) loss_contra: 0.0009 (0.0041) time: 2.6862 data: 0.0055 max mem: 31630 Epoch: [19] [ 160/5278] eta: 3:50:14 lr: 2.796051753130333e-05 loss: 0.0670 (0.0724) loss_seg: 0.0667 (0.0721) loss_lansim: 0.0293 (0.0297) loss_contra: 0.0008 (0.0044) time: 2.6910 data: 0.0055 max mem: 31630 Epoch: [19] [ 170/5278] eta: 3:49:32 lr: 2.7958243835823134e-05 loss: 0.0679 (0.0736) loss_seg: 0.0676 (0.0733) loss_lansim: 0.0295 (0.0297) loss_contra: 0.0009 (0.0050) time: 2.6897 data: 0.0055 max mem: 31630 Epoch: [19] [ 180/5278] eta: 3:49:05 lr: 2.7955970119797465e-05 loss: 0.0653 (0.0737) loss_seg: 0.0650 (0.0734) loss_lansim: 0.0295 (0.0297) loss_contra: 0.0008 (0.0050) time: 2.6873 data: 0.0056 max mem: 31630 Epoch: [19] [ 190/5278] eta: 3:48:25 lr: 2.7953696383224277e-05 loss: 0.0668 (0.0738) loss_seg: 0.0665 (0.0734) loss_lansim: 0.0293 (0.0297) loss_contra: 0.0008 (0.0049) time: 2.6864 data: 0.0056 max mem: 31630 Epoch: [19] [ 200/5278] eta: 3:47:58 lr: 2.7951422626101535e-05 loss: 0.0645 (0.0744) loss_seg: 0.0643 (0.0741) loss_lansim: 0.0292 (0.0297) loss_contra: 0.0007 (0.0047) time: 2.6849 data: 0.0056 max mem: 31630 Epoch: [19] [ 210/5278] eta: 3:47:31 lr: 2.794914884842719e-05 loss: 0.0631 (0.0739) loss_seg: 0.0628 (0.0736) loss_lansim: 0.0291 (0.0297) loss_contra: 0.0006 (0.0047) time: 2.6856 data: 0.0055 max mem: 31630 Epoch: [19] [ 220/5278] eta: 3:46:59 lr: 2.7946875050199208e-05 loss: 0.0622 (0.0735) loss_seg: 0.0618 (0.0731) loss_lansim: 0.0289 (0.0297) loss_contra: 0.0007 (0.0047) time: 2.6810 data: 0.0055 max mem: 31630 Epoch: [19] [ 230/5278] eta: 3:46:35 lr: 2.794460123141553e-05 loss: 0.0619 (0.0728) loss_seg: 0.0616 (0.0725) loss_lansim: 0.0291 (0.0298) loss_contra: 0.0007 (0.0046) time: 2.6843 data: 0.0055 max mem: 31630 Epoch: [19] [ 240/5278] eta: 3:46:04 lr: 2.7942327392074118e-05 loss: 0.0631 (0.0735) loss_seg: 0.0628 (0.0731) loss_lansim: 0.0292 (0.0298) loss_contra: 0.0007 (0.0045) time: 2.6831 data: 0.0055 max mem: 31630 Epoch: [19] [ 250/5278] eta: 3:45:40 lr: 2.7940053532172944e-05 loss: 0.0662 (0.0734) loss_seg: 0.0659 (0.0730) loss_lansim: 0.0292 (0.0297) loss_contra: 0.0007 (0.0044) time: 2.6853 data: 0.0055 max mem: 31630 Epoch: [19] [ 260/5278] eta: 3:45:02 lr: 2.7937779651709933e-05 loss: 0.0674 (0.0736) loss_seg: 0.0671 (0.0732) loss_lansim: 0.0294 (0.0298) loss_contra: 0.0007 (0.0042) time: 2.6773 data: 0.0056 max mem: 31630 Epoch: [19] [ 270/5278] eta: 3:44:42 lr: 2.7935505750683062e-05 loss: 0.0674 (0.0735) loss_seg: 0.0671 (0.0731) loss_lansim: 0.0294 (0.0298) loss_contra: 0.0005 (0.0043) time: 2.6848 data: 0.0056 max mem: 31630 Epoch: [19] [ 280/5278] eta: 3:44:08 lr: 2.7933231829090272e-05 loss: 0.0666 (0.0735) loss_seg: 0.0663 (0.0731) loss_lansim: 0.0292 (0.0297) loss_contra: 0.0005 (0.0043) time: 2.6809 data: 0.0055 max mem: 31630 Epoch: [19] [ 290/5278] eta: 3:43:43 lr: 2.7930957886929527e-05 loss: 0.0654 (0.0739) loss_seg: 0.0651 (0.0736) loss_lansim: 0.0292 (0.0298) loss_contra: 0.0006 (0.0043) time: 2.6862 data: 0.0055 max mem: 31630 Epoch: [19] [ 300/5278] eta: 3:43:13 lr: 2.7928683924198783e-05 loss: 0.0662 (0.0739) loss_seg: 0.0659 (0.0736) loss_lansim: 0.0292 (0.0298) loss_contra: 0.0006 (0.0045) time: 2.6839 data: 0.0054 max mem: 31630 Epoch: [19] [ 310/5278] eta: 3:42:49 lr: 2.7926409940895977e-05 loss: 0.0662 (0.0737) loss_seg: 0.0659 (0.0734) loss_lansim: 0.0290 (0.0298) loss_contra: 0.0006 (0.0044) time: 2.6861 data: 0.0054 max mem: 31630 Epoch: [19] [ 320/5278] eta: 3:42:21 lr: 2.792413593701907e-05 loss: 0.0680 (0.0733) loss_seg: 0.0677 (0.0729) loss_lansim: 0.0290 (0.0298) loss_contra: 0.0004 (0.0043) time: 2.6874 data: 0.0054 max mem: 31630 Epoch: [19] [ 330/5278] eta: 3:41:52 lr: 2.792186191256602e-05 loss: 0.0682 (0.0734) loss_seg: 0.0679 (0.0731) loss_lansim: 0.0290 (0.0298) loss_contra: 0.0005 (0.0043) time: 2.6842 data: 0.0053 max mem: 31630 Epoch: [19] [ 340/5278] eta: 3:41:20 lr: 2.791958786753477e-05 loss: 0.0671 (0.0733) loss_seg: 0.0668 (0.0730) loss_lansim: 0.0289 (0.0298) loss_contra: 0.0005 (0.0042) time: 2.6821 data: 0.0053 max mem: 31630 Epoch: [19] [ 350/5278] eta: 3:40:51 lr: 2.791731380192328e-05 loss: 0.0671 (0.0733) loss_seg: 0.0668 (0.0730) loss_lansim: 0.0291 (0.0299) loss_contra: 0.0005 (0.0042) time: 2.6789 data: 0.0052 max mem: 31630 Epoch: [19] [ 360/5278] eta: 3:40:22 lr: 2.791503971572949e-05 loss: 0.0662 (0.0730) loss_seg: 0.0658 (0.0727) loss_lansim: 0.0293 (0.0299) loss_contra: 0.0006 (0.0041) time: 2.6829 data: 0.0051 max mem: 31630 Epoch: [19] [ 370/5278] eta: 3:39:53 lr: 2.7912765608951358e-05 loss: 0.0654 (0.0730) loss_seg: 0.0651 (0.0726) loss_lansim: 0.0293 (0.0299) loss_contra: 0.0007 (0.0040) time: 2.6776 data: 0.0051 max mem: 31630 Epoch: [19] [ 380/5278] eta: 3:39:27 lr: 2.7910491481586835e-05 loss: 0.0654 (0.0730) loss_seg: 0.0651 (0.0726) loss_lansim: 0.0293 (0.0299) loss_contra: 0.0007 (0.0041) time: 2.6819 data: 0.0051 max mem: 31630 Epoch: [19] [ 390/5278] eta: 3:38:56 lr: 2.790821733363387e-05 loss: 0.0644 (0.0734) loss_seg: 0.0641 (0.0731) loss_lansim: 0.0296 (0.0299) loss_contra: 0.0006 (0.0041) time: 2.6768 data: 0.0051 max mem: 31630 Epoch: [19] [ 400/5278] eta: 3:38:30 lr: 2.790594316509041e-05 loss: 0.0662 (0.0736) loss_seg: 0.0658 (0.0733) loss_lansim: 0.0304 (0.0300) loss_contra: 0.0005 (0.0040) time: 2.6797 data: 0.0051 max mem: 31630 Epoch: [19] [ 410/5278] eta: 3:38:04 lr: 2.7903668975954405e-05 loss: 0.0671 (0.0738) loss_seg: 0.0668 (0.0734) loss_lansim: 0.0306 (0.0300) loss_contra: 0.0007 (0.0040) time: 2.6774 data: 0.0051 max mem: 31630 Epoch: [19] [ 420/5278] eta: 3:37:37 lr: 2.79013947662238e-05 loss: 0.0754 (0.0742) loss_seg: 0.0752 (0.0739) loss_lansim: 0.0306 (0.0300) loss_contra: 0.0008 (0.0042) time: 2.6778 data: 0.0051 max mem: 31630 Epoch: [19] [ 430/5278] eta: 3:37:06 lr: 2.7899120535896556e-05 loss: 0.0693 (0.0740) loss_seg: 0.0690 (0.0737) loss_lansim: 0.0306 (0.0300) loss_contra: 0.0008 (0.0041) time: 2.6755 data: 0.0051 max mem: 31630 Epoch: [19] [ 440/5278] eta: 3:36:41 lr: 2.7896846284970607e-05 loss: 0.0758 (0.0751) loss_seg: 0.0755 (0.0747) loss_lansim: 0.0304 (0.0300) loss_contra: 0.0008 (0.0046) time: 2.6808 data: 0.0052 max mem: 31630 Epoch: [19] [ 450/5278] eta: 3:36:14 lr: 2.7894572013443903e-05 loss: 0.0767 (0.0752) loss_seg: 0.0764 (0.0749) loss_lansim: 0.0304 (0.0301) loss_contra: 0.0008 (0.0047) time: 2.6813 data: 0.0053 max mem: 31630 Epoch: [19] [ 460/5278] eta: 3:35:47 lr: 2.7892297721314402e-05 loss: 0.0760 (0.0752) loss_seg: 0.0757 (0.0748) loss_lansim: 0.0304 (0.0301) loss_contra: 0.0009 (0.0047) time: 2.6824 data: 0.0053 max mem: 31630 Epoch: [19] [ 470/5278] eta: 3:35:24 lr: 2.789002340858004e-05 loss: 0.0759 (0.0749) loss_seg: 0.0756 (0.0746) loss_lansim: 0.0303 (0.0301) loss_contra: 0.0009 (0.0047) time: 2.6877 data: 0.0054 max mem: 31630 Epoch: [19] [ 480/5278] eta: 3:34:54 lr: 2.788774907523876e-05 loss: 0.0759 (0.0748) loss_seg: 0.0756 (0.0745) loss_lansim: 0.0305 (0.0302) loss_contra: 0.0010 (0.0048) time: 2.6838 data: 0.0055 max mem: 31630 Epoch: [19] [ 490/5278] eta: 3:34:30 lr: 2.7885474721288522e-05 loss: 0.0759 (0.0748) loss_seg: 0.0756 (0.0744) loss_lansim: 0.0305 (0.0302) loss_contra: 0.0011 (0.0048) time: 2.6908 data: 0.0055 max mem: 31630 Epoch: [19] [ 500/5278] eta: 3:34:03 lr: 2.7883200346727256e-05 loss: 0.0756 (0.0751) loss_seg: 0.0752 (0.0747) loss_lansim: 0.0305 (0.0302) loss_contra: 0.0012 (0.0048) time: 2.6895 data: 0.0056 max mem: 31630 Epoch: [19] [ 510/5278] eta: 3:33:37 lr: 2.7880925951552928e-05 loss: 0.0752 (0.0750) loss_seg: 0.0748 (0.0747) loss_lansim: 0.0304 (0.0303) loss_contra: 0.0011 (0.0047) time: 2.6898 data: 0.0056 max mem: 31630 Epoch: [19] [ 520/5278] eta: 3:33:11 lr: 2.7878651535763458e-05 loss: 0.0711 (0.0748) loss_seg: 0.0708 (0.0744) loss_lansim: 0.0305 (0.0303) loss_contra: 0.0012 (0.0048) time: 2.6913 data: 0.0056 max mem: 31630 Epoch: [19] [ 530/5278] eta: 3:32:42 lr: 2.7876377099356806e-05 loss: 0.0722 (0.0752) loss_seg: 0.0718 (0.0749) loss_lansim: 0.0306 (0.0303) loss_contra: 0.0013 (0.0049) time: 2.6919 data: 0.0056 max mem: 31630 Epoch: [19] [ 540/5278] eta: 3:32:15 lr: 2.7874102642330912e-05 loss: 0.0722 (0.0751) loss_seg: 0.0718 (0.0748) loss_lansim: 0.0307 (0.0303) loss_contra: 0.0013 (0.0050) time: 2.6907 data: 0.0055 max mem: 31630 Epoch: [19] [ 550/5278] eta: 3:31:48 lr: 2.787182816468371e-05 loss: 0.0722 (0.0753) loss_seg: 0.0718 (0.0749) loss_lansim: 0.0309 (0.0303) loss_contra: 0.0014 (0.0050) time: 2.6914 data: 0.0055 max mem: 31630 Epoch: [19] [ 560/5278] eta: 3:31:18 lr: 2.7869553666413166e-05 loss: 0.0728 (0.0755) loss_seg: 0.0724 (0.0751) loss_lansim: 0.0309 (0.0304) loss_contra: 0.0013 (0.0050) time: 2.6878 data: 0.0054 max mem: 31630 Epoch: [19] [ 570/5278] eta: 3:30:52 lr: 2.7867279147517204e-05 loss: 0.0712 (0.0752) loss_seg: 0.0708 (0.0749) loss_lansim: 0.0310 (0.0304) loss_contra: 0.0014 (0.0049) time: 2.6849 data: 0.0054 max mem: 31630 Epoch: [19] [ 580/5278] eta: 3:30:23 lr: 2.7865004607993777e-05 loss: 0.0710 (0.0750) loss_seg: 0.0707 (0.0747) loss_lansim: 0.0309 (0.0304) loss_contra: 0.0013 (0.0049) time: 2.6841 data: 0.0053 max mem: 31630 Epoch: [19] [ 590/5278] eta: 3:29:56 lr: 2.7862730047840823e-05 loss: 0.0706 (0.0750) loss_seg: 0.0702 (0.0746) loss_lansim: 0.0311 (0.0304) loss_contra: 0.0013 (0.0049) time: 2.6814 data: 0.0052 max mem: 31630 Epoch: [19] [ 600/5278] eta: 3:29:26 lr: 2.7860455467056273e-05 loss: 0.0689 (0.0749) loss_seg: 0.0686 (0.0746) loss_lansim: 0.0309 (0.0304) loss_contra: 0.0013 (0.0049) time: 2.6767 data: 0.0052 max mem: 31630 Epoch: [19] [ 610/5278] eta: 3:29:00 lr: 2.7858180865638083e-05 loss: 0.0706 (0.0753) loss_seg: 0.0702 (0.0750) loss_lansim: 0.0311 (0.0305) loss_contra: 0.0013 (0.0050) time: 2.6774 data: 0.0052 max mem: 31630 Epoch: [19] [ 620/5278] eta: 3:28:29 lr: 2.7855906243584197e-05 loss: 0.0706 (0.0756) loss_seg: 0.0702 (0.0753) loss_lansim: 0.0312 (0.0306) loss_contra: 0.0014 (0.0052) time: 2.6710 data: 0.0051 max mem: 31630 Epoch: [19] [ 630/5278] eta: 3:28:03 lr: 2.7853631600892534e-05 loss: 0.0694 (0.0756) loss_seg: 0.0690 (0.0752) loss_lansim: 0.0318 (0.0307) loss_contra: 0.0013 (0.0052) time: 2.6745 data: 0.0052 max mem: 31630 Epoch: [19] [ 640/5278] eta: 3:27:36 lr: 2.7851356937561056e-05 loss: 0.0692 (0.0760) loss_seg: 0.0689 (0.0756) loss_lansim: 0.0322 (0.0308) loss_contra: 0.0014 (0.0057) time: 2.6737 data: 0.0052 max mem: 31630 Epoch: [19] [ 650/5278] eta: 3:27:08 lr: 2.7849082253587693e-05 loss: 0.0654 (0.0759) loss_seg: 0.0649 (0.0755) loss_lansim: 0.0327 (0.0308) loss_contra: 0.0017 (0.0059) time: 2.6716 data: 0.0052 max mem: 31630 Epoch: [19] [ 660/5278] eta: 3:26:40 lr: 2.7846807548970383e-05 loss: 0.0654 (0.0759) loss_seg: 0.0649 (0.0756) loss_lansim: 0.0327 (0.0308) loss_contra: 0.0017 (0.0058) time: 2.6733 data: 0.0053 max mem: 31630 Epoch: [19] [ 670/5278] eta: 3:26:14 lr: 2.7844532823707074e-05 loss: 0.0692 (0.0760) loss_seg: 0.0689 (0.0757) loss_lansim: 0.0331 (0.0309) loss_contra: 0.0017 (0.0058) time: 2.6740 data: 0.0053 max mem: 31630 Epoch: [19] [ 680/5278] eta: 3:25:45 lr: 2.7842258077795698e-05 loss: 0.0737 (0.0766) loss_seg: 0.0733 (0.0763) loss_lansim: 0.0334 (0.0309) loss_contra: 0.0016 (0.0060) time: 2.6734 data: 0.0053 max mem: 31630 Epoch: [19] [ 690/5278] eta: 3:25:20 lr: 2.7839983311234187e-05 loss: 0.0750 (0.0768) loss_seg: 0.0747 (0.0764) loss_lansim: 0.0334 (0.0309) loss_contra: 0.0015 (0.0064) time: 2.6765 data: 0.0053 max mem: 31630 Epoch: [19] [ 700/5278] eta: 3:24:53 lr: 2.783770852402049e-05 loss: 0.0750 (0.0767) loss_seg: 0.0740 (0.0763) loss_lansim: 0.0336 (0.0310) loss_contra: 0.0014 (0.0064) time: 2.6793 data: 0.0053 max mem: 31630 Epoch: [19] [ 710/5278] eta: 3:24:27 lr: 2.7835433716152525e-05 loss: 0.0740 (0.0768) loss_seg: 0.0737 (0.0764) loss_lansim: 0.0336 (0.0310) loss_contra: 0.0013 (0.0063) time: 2.6799 data: 0.0053 max mem: 31630 Epoch: [19] [ 720/5278] eta: 3:24:02 lr: 2.7833158887628263e-05 loss: 0.0740 (0.0767) loss_seg: 0.0737 (0.0764) loss_lansim: 0.0334 (0.0310) loss_contra: 0.0012 (0.0063) time: 2.6870 data: 0.0053 max mem: 31630 Epoch: [19] [ 730/5278] eta: 3:23:37 lr: 2.783088403844561e-05 loss: 0.0806 (0.0770) loss_seg: 0.0802 (0.0767) loss_lansim: 0.0326 (0.0310) loss_contra: 0.0013 (0.0064) time: 2.6900 data: 0.0052 max mem: 31630 Epoch: [19] [ 740/5278] eta: 3:23:11 lr: 2.7828609168602516e-05 loss: 0.0806 (0.0772) loss_seg: 0.0804 (0.0768) loss_lansim: 0.0323 (0.0310) loss_contra: 0.0011 (0.0063) time: 2.6906 data: 0.0051 max mem: 31630 Epoch: [19] [ 750/5278] eta: 3:22:45 lr: 2.7826334278096917e-05 loss: 0.0781 (0.0771) loss_seg: 0.0763 (0.0768) loss_lansim: 0.0321 (0.0310) loss_contra: 0.0010 (0.0065) time: 2.6952 data: 0.0050 max mem: 31630 Epoch: [19] [ 760/5278] eta: 3:22:18 lr: 2.7824059366926736e-05 loss: 0.0754 (0.0770) loss_seg: 0.0750 (0.0767) loss_lansim: 0.0316 (0.0311) loss_contra: 0.0009 (0.0065) time: 2.6971 data: 0.0050 max mem: 31630 Epoch: [19] [ 770/5278] eta: 3:21:51 lr: 2.782178443508992e-05 loss: 0.0754 (0.0771) loss_seg: 0.0750 (0.0767) loss_lansim: 0.0314 (0.0311) loss_contra: 0.0008 (0.0064) time: 2.6942 data: 0.0049 max mem: 31630 Epoch: [19] [ 780/5278] eta: 3:21:24 lr: 2.7819509482584406e-05 loss: 0.0740 (0.0770) loss_seg: 0.0737 (0.0766) loss_lansim: 0.0313 (0.0311) loss_contra: 0.0007 (0.0064) time: 2.6977 data: 0.0049 max mem: 31630 Epoch: [19] [ 790/5278] eta: 3:20:58 lr: 2.7817234509408113e-05 loss: 0.0725 (0.0768) loss_seg: 0.0722 (0.0765) loss_lansim: 0.0314 (0.0311) loss_contra: 0.0007 (0.0063) time: 2.6959 data: 0.0049 max mem: 31630 Epoch: [19] [ 800/5278] eta: 3:20:33 lr: 2.7814959515558995e-05 loss: 0.0709 (0.0766) loss_seg: 0.0704 (0.0762) loss_lansim: 0.0312 (0.0311) loss_contra: 0.0007 (0.0064) time: 2.7011 data: 0.0049 max mem: 31630 Epoch: [19] [ 810/5278] eta: 3:20:06 lr: 2.781268450103497e-05 loss: 0.0657 (0.0765) loss_seg: 0.0652 (0.0761) loss_lansim: 0.0307 (0.0311) loss_contra: 0.0007 (0.0064) time: 2.6991 data: 0.0049 max mem: 31630 Epoch: [19] [ 820/5278] eta: 3:19:40 lr: 2.7810409465833974e-05 loss: 0.0650 (0.0763) loss_seg: 0.0645 (0.0759) loss_lansim: 0.0304 (0.0310) loss_contra: 0.0005 (0.0063) time: 2.6981 data: 0.0049 max mem: 31630 Epoch: [19] [ 830/5278] eta: 3:19:11 lr: 2.780813440995395e-05 loss: 0.0645 (0.0764) loss_seg: 0.0641 (0.0760) loss_lansim: 0.0302 (0.0310) loss_contra: 0.0005 (0.0063) time: 2.6919 data: 0.0049 max mem: 31630 Epoch: [19] [ 840/5278] eta: 3:18:46 lr: 2.7805859333392814e-05 loss: 0.0628 (0.0762) loss_seg: 0.0624 (0.0759) loss_lansim: 0.0302 (0.0310) loss_contra: 0.0005 (0.0062) time: 2.6941 data: 0.0050 max mem: 31630 Epoch: [19] [ 850/5278] eta: 3:18:17 lr: 2.7803584236148512e-05 loss: 0.0616 (0.0762) loss_seg: 0.0614 (0.0759) loss_lansim: 0.0300 (0.0310) loss_contra: 0.0005 (0.0062) time: 2.6870 data: 0.0050 max mem: 31630 Epoch: [19] [ 860/5278] eta: 3:17:50 lr: 2.780130911821896e-05 loss: 0.0608 (0.0761) loss_seg: 0.0605 (0.0757) loss_lansim: 0.0296 (0.0310) loss_contra: 0.0006 (0.0061) time: 2.6883 data: 0.0050 max mem: 31630 Epoch: [19] [ 870/5278] eta: 3:17:22 lr: 2.77990339796021e-05 loss: 0.0570 (0.0761) loss_seg: 0.0567 (0.0757) loss_lansim: 0.0295 (0.0309) loss_contra: 0.0006 (0.0061) time: 2.6866 data: 0.0051 max mem: 31630 Epoch: [19] [ 880/5278] eta: 3:16:55 lr: 2.779675882029587e-05 loss: 0.0576 (0.0760) loss_seg: 0.0573 (0.0757) loss_lansim: 0.0291 (0.0309) loss_contra: 0.0006 (0.0060) time: 2.6874 data: 0.0051 max mem: 31630 Epoch: [19] [ 890/5278] eta: 3:16:28 lr: 2.7794483640298185e-05 loss: 0.0578 (0.0759) loss_seg: 0.0575 (0.0756) loss_lansim: 0.0284 (0.0309) loss_contra: 0.0007 (0.0060) time: 2.6844 data: 0.0052 max mem: 31630 Epoch: [19] [ 900/5278] eta: 3:16:01 lr: 2.7792208439606982e-05 loss: 0.0578 (0.0758) loss_seg: 0.0575 (0.0755) loss_lansim: 0.0284 (0.0309) loss_contra: 0.0006 (0.0060) time: 2.6799 data: 0.0052 max mem: 31630 Epoch: [19] [ 910/5278] eta: 3:15:34 lr: 2.7789933218220194e-05 loss: 0.0608 (0.0759) loss_seg: 0.0605 (0.0755) loss_lansim: 0.0284 (0.0309) loss_contra: 0.0006 (0.0059) time: 2.6797 data: 0.0052 max mem: 31630 Epoch: [19] [ 920/5278] eta: 3:15:07 lr: 2.7787657976135728e-05 loss: 0.0625 (0.0760) loss_seg: 0.0622 (0.0756) loss_lansim: 0.0291 (0.0309) loss_contra: 0.0006 (0.0060) time: 2.6782 data: 0.0053 max mem: 31630 Epoch: [19] [ 930/5278] eta: 3:14:39 lr: 2.778538271335155e-05 loss: 0.0625 (0.0759) loss_seg: 0.0622 (0.0755) loss_lansim: 0.0292 (0.0308) loss_contra: 0.0007 (0.0060) time: 2.6783 data: 0.0053 max mem: 31630 Epoch: [19] [ 940/5278] eta: 3:14:13 lr: 2.7783107429865556e-05 loss: 0.0625 (0.0760) loss_seg: 0.0622 (0.0757) loss_lansim: 0.0291 (0.0308) loss_contra: 0.0007 (0.0059) time: 2.6775 data: 0.0053 max mem: 31630 Epoch: [19] [ 950/5278] eta: 3:13:43 lr: 2.7780832125675692e-05 loss: 0.0625 (0.0760) loss_seg: 0.0623 (0.0756) loss_lansim: 0.0293 (0.0308) loss_contra: 0.0007 (0.0059) time: 2.6764 data: 0.0053 max mem: 31630 Epoch: [19] [ 960/5278] eta: 3:13:15 lr: 2.777855680077988e-05 loss: 0.0630 (0.0758) loss_seg: 0.0628 (0.0755) loss_lansim: 0.0293 (0.0308) loss_contra: 0.0006 (0.0058) time: 2.6722 data: 0.0054 max mem: 31630 Epoch: [19] [ 970/5278] eta: 3:12:49 lr: 2.7776281455176046e-05 loss: 0.0630 (0.0757) loss_seg: 0.0628 (0.0754) loss_lansim: 0.0293 (0.0308) loss_contra: 0.0005 (0.0058) time: 2.6766 data: 0.0053 max mem: 31630 Epoch: [19] [ 980/5278] eta: 3:12:21 lr: 2.7774006088862113e-05 loss: 0.0651 (0.0758) loss_seg: 0.0647 (0.0754) loss_lansim: 0.0293 (0.0308) loss_contra: 0.0006 (0.0058) time: 2.6743 data: 0.0054 max mem: 31630 Epoch: [19] [ 990/5278] eta: 3:11:55 lr: 2.777173070183602e-05 loss: 0.0663 (0.0757) loss_seg: 0.0660 (0.0754) loss_lansim: 0.0293 (0.0308) loss_contra: 0.0004 (0.0058) time: 2.6768 data: 0.0054 max mem: 31630 Epoch: [19] [1000/5278] eta: 3:11:29 lr: 2.776945529409567e-05 loss: 0.0670 (0.0757) loss_seg: 0.0667 (0.0753) loss_lansim: 0.0293 (0.0307) loss_contra: 0.0004 (0.0057) time: 2.6784 data: 0.0054 max mem: 31630 Epoch: [19] [1010/5278] eta: 3:11:02 lr: 2.7767179865639022e-05 loss: 0.0670 (0.0760) loss_seg: 0.0667 (0.0756) loss_lansim: 0.0292 (0.0307) loss_contra: 0.0004 (0.0057) time: 2.6787 data: 0.0054 max mem: 31630 Epoch: [19] [1020/5278] eta: 3:10:34 lr: 2.7764904416463966e-05 loss: 0.0672 (0.0760) loss_seg: 0.0669 (0.0757) loss_lansim: 0.0291 (0.0307) loss_contra: 0.0004 (0.0060) time: 2.6764 data: 0.0054 max mem: 31630 Epoch: [19] [1030/5278] eta: 3:10:07 lr: 2.7762628946568447e-05 loss: 0.0692 (0.0762) loss_seg: 0.0689 (0.0758) loss_lansim: 0.0291 (0.0307) loss_contra: 0.0003 (0.0060) time: 2.6780 data: 0.0054 max mem: 31630 Epoch: [19] [1040/5278] eta: 3:09:39 lr: 2.7760353455950393e-05 loss: 0.0692 (0.0761) loss_seg: 0.0689 (0.0758) loss_lansim: 0.0292 (0.0307) loss_contra: 0.0004 (0.0060) time: 2.6748 data: 0.0054 max mem: 31630 Epoch: [19] [1050/5278] eta: 3:09:13 lr: 2.775807794460771e-05 loss: 0.0697 (0.0764) loss_seg: 0.0694 (0.0760) loss_lansim: 0.0293 (0.0307) loss_contra: 0.0006 (0.0060) time: 2.6813 data: 0.0054 max mem: 31630 Epoch: [19] [1060/5278] eta: 3:08:45 lr: 2.775580241253834e-05 loss: 0.0708 (0.0764) loss_seg: 0.0704 (0.0760) loss_lansim: 0.0295 (0.0307) loss_contra: 0.0006 (0.0060) time: 2.6811 data: 0.0054 max mem: 31630 Epoch: [19] [1070/5278] eta: 3:08:19 lr: 2.7753526859740192e-05 loss: 0.0710 (0.0763) loss_seg: 0.0706 (0.0760) loss_lansim: 0.0298 (0.0308) loss_contra: 0.0007 (0.0060) time: 2.6807 data: 0.0053 max mem: 31630 Epoch: [19] [1080/5278] eta: 3:07:51 lr: 2.7751251286211195e-05 loss: 0.0710 (0.0763) loss_seg: 0.0706 (0.0759) loss_lansim: 0.0300 (0.0308) loss_contra: 0.0007 (0.0060) time: 2.6803 data: 0.0053 max mem: 31630 Epoch: [19] [1090/5278] eta: 3:07:26 lr: 2.7748975691949275e-05 loss: 0.0710 (0.0762) loss_seg: 0.0706 (0.0759) loss_lansim: 0.0305 (0.0308) loss_contra: 0.0006 (0.0059) time: 2.6843 data: 0.0052 max mem: 31630 Epoch: [19] [1100/5278] eta: 3:06:58 lr: 2.7746700076952347e-05 loss: 0.0716 (0.0763) loss_seg: 0.0712 (0.0759) loss_lansim: 0.0306 (0.0308) loss_contra: 0.0006 (0.0059) time: 2.6816 data: 0.0052 max mem: 31630 Epoch: [19] [1110/5278] eta: 3:06:32 lr: 2.7744424441218338e-05 loss: 0.0710 (0.0763) loss_seg: 0.0706 (0.0759) loss_lansim: 0.0305 (0.0308) loss_contra: 0.0007 (0.0059) time: 2.6838 data: 0.0051 max mem: 31630 Epoch: [19] [1120/5278] eta: 3:06:04 lr: 2.7742148784745164e-05 loss: 0.0697 (0.0761) loss_seg: 0.0694 (0.0757) loss_lansim: 0.0305 (0.0308) loss_contra: 0.0008 (0.0059) time: 2.6817 data: 0.0051 max mem: 31630 Epoch: [19] [1130/5278] eta: 3:05:39 lr: 2.773987310753074e-05 loss: 0.0649 (0.0760) loss_seg: 0.0646 (0.0757) loss_lansim: 0.0308 (0.0308) loss_contra: 0.0007 (0.0059) time: 2.6869 data: 0.0051 max mem: 31630 Epoch: [19] [1140/5278] eta: 3:05:12 lr: 2.773759740957301e-05 loss: 0.0651 (0.0761) loss_seg: 0.0647 (0.0757) loss_lansim: 0.0311 (0.0308) loss_contra: 0.0006 (0.0058) time: 2.6891 data: 0.0051 max mem: 31630 Epoch: [19] [1150/5278] eta: 3:04:45 lr: 2.7735321690869863e-05 loss: 0.0651 (0.0760) loss_seg: 0.0647 (0.0757) loss_lansim: 0.0311 (0.0308) loss_contra: 0.0006 (0.0060) time: 2.6880 data: 0.0051 max mem: 31630 Epoch: [19] [1160/5278] eta: 3:04:17 lr: 2.773304595141924e-05 loss: 0.0650 (0.0760) loss_seg: 0.0647 (0.0757) loss_lansim: 0.0306 (0.0308) loss_contra: 0.0006 (0.0060) time: 2.6874 data: 0.0051 max mem: 31630 Epoch: [19] [1170/5278] eta: 3:03:52 lr: 2.7730770191219057e-05 loss: 0.0649 (0.0761) loss_seg: 0.0646 (0.0758) loss_lansim: 0.0300 (0.0308) loss_contra: 0.0006 (0.0059) time: 2.6912 data: 0.0051 max mem: 31630 Epoch: [19] [1180/5278] eta: 3:03:24 lr: 2.772849441026723e-05 loss: 0.0651 (0.0761) loss_seg: 0.0648 (0.0757) loss_lansim: 0.0303 (0.0308) loss_contra: 0.0007 (0.0060) time: 2.6900 data: 0.0052 max mem: 31630 Epoch: [19] [1190/5278] eta: 3:02:58 lr: 2.772621860856167e-05 loss: 0.0651 (0.0761) loss_seg: 0.0648 (0.0757) loss_lansim: 0.0303 (0.0308) loss_contra: 0.0008 (0.0060) time: 2.6858 data: 0.0052 max mem: 31630 Epoch: [19] [1200/5278] eta: 3:02:30 lr: 2.772394278610031e-05 loss: 0.0649 (0.0760) loss_seg: 0.0646 (0.0756) loss_lansim: 0.0298 (0.0307) loss_contra: 0.0008 (0.0060) time: 2.6845 data: 0.0052 max mem: 31630 Epoch: [19] [1210/5278] eta: 3:02:04 lr: 2.7721666942881054e-05 loss: 0.0630 (0.0758) loss_seg: 0.0627 (0.0755) loss_lansim: 0.0303 (0.0307) loss_contra: 0.0007 (0.0061) time: 2.6850 data: 0.0053 max mem: 31630 Epoch: [19] [1220/5278] eta: 3:01:36 lr: 2.771939107890183e-05 loss: 0.0649 (0.0758) loss_seg: 0.0646 (0.0755) loss_lansim: 0.0303 (0.0307) loss_contra: 0.0007 (0.0061) time: 2.6869 data: 0.0053 max mem: 31630 Epoch: [19] [1230/5278] eta: 3:01:10 lr: 2.771711519416054e-05 loss: 0.0651 (0.0759) loss_seg: 0.0648 (0.0755) loss_lansim: 0.0299 (0.0307) loss_contra: 0.0007 (0.0061) time: 2.6843 data: 0.0053 max mem: 31630 Epoch: [19] [1240/5278] eta: 3:00:42 lr: 2.7714839288655114e-05 loss: 0.0649 (0.0760) loss_seg: 0.0646 (0.0756) loss_lansim: 0.0299 (0.0307) loss_contra: 0.0007 (0.0061) time: 2.6804 data: 0.0053 max mem: 31630 Epoch: [19] [1250/5278] eta: 3:00:14 lr: 2.771256336238347e-05 loss: 0.0630 (0.0759) loss_seg: 0.0627 (0.0755) loss_lansim: 0.0295 (0.0307) loss_contra: 0.0007 (0.0061) time: 2.6779 data: 0.0053 max mem: 31630 Epoch: [19] [1260/5278] eta: 2:59:48 lr: 2.7710287415343506e-05 loss: 0.0630 (0.0758) loss_seg: 0.0626 (0.0754) loss_lansim: 0.0301 (0.0307) loss_contra: 0.0007 (0.0061) time: 2.6836 data: 0.0052 max mem: 31630 Epoch: [19] [1270/5278] eta: 2:59:21 lr: 2.770801144753316e-05 loss: 0.0623 (0.0758) loss_seg: 0.0619 (0.0754) loss_lansim: 0.0303 (0.0307) loss_contra: 0.0008 (0.0061) time: 2.6779 data: 0.0053 max mem: 31630 Epoch: [19] [1280/5278] eta: 2:58:55 lr: 2.7705735458950325e-05 loss: 0.0616 (0.0758) loss_seg: 0.0613 (0.0754) loss_lansim: 0.0298 (0.0307) loss_contra: 0.0008 (0.0061) time: 2.6828 data: 0.0053 max mem: 31630 Epoch: [19] [1290/5278] eta: 2:58:27 lr: 2.7703459449592933e-05 loss: 0.0589 (0.0756) loss_seg: 0.0586 (0.0752) loss_lansim: 0.0293 (0.0307) loss_contra: 0.0006 (0.0060) time: 2.6800 data: 0.0052 max mem: 31630 Epoch: [19] [1300/5278] eta: 2:58:00 lr: 2.7701183419458893e-05 loss: 0.0608 (0.0757) loss_seg: 0.0605 (0.0753) loss_lansim: 0.0293 (0.0307) loss_contra: 0.0006 (0.0060) time: 2.6828 data: 0.0052 max mem: 31630 Epoch: [19] [1310/5278] eta: 2:57:34 lr: 2.7698907368546108e-05 loss: 0.0624 (0.0756) loss_seg: 0.0621 (0.0752) loss_lansim: 0.0292 (0.0307) loss_contra: 0.0006 (0.0060) time: 2.6803 data: 0.0052 max mem: 31630 Epoch: [19] [1320/5278] eta: 2:57:06 lr: 2.7696631296852498e-05 loss: 0.0624 (0.0755) loss_seg: 0.0621 (0.0752) loss_lansim: 0.0292 (0.0307) loss_contra: 0.0006 (0.0060) time: 2.6811 data: 0.0052 max mem: 31630 Epoch: [19] [1330/5278] eta: 2:56:39 lr: 2.7694355204375983e-05 loss: 0.0624 (0.0755) loss_seg: 0.0621 (0.0752) loss_lansim: 0.0289 (0.0306) loss_contra: 0.0010 (0.0060) time: 2.6772 data: 0.0051 max mem: 31630 Epoch: [19] [1340/5278] eta: 2:56:12 lr: 2.7692079091114458e-05 loss: 0.0613 (0.0755) loss_seg: 0.0610 (0.0751) loss_lansim: 0.0288 (0.0306) loss_contra: 0.0009 (0.0060) time: 2.6807 data: 0.0051 max mem: 31630 Epoch: [19] [1350/5278] eta: 2:55:44 lr: 2.7689802957065864e-05 loss: 0.0613 (0.0753) loss_seg: 0.0610 (0.0750) loss_lansim: 0.0288 (0.0306) loss_contra: 0.0007 (0.0059) time: 2.6781 data: 0.0051 max mem: 31630 Epoch: [19] [1360/5278] eta: 2:55:17 lr: 2.7687526802228082e-05 loss: 0.0596 (0.0752) loss_seg: 0.0593 (0.0748) loss_lansim: 0.0287 (0.0306) loss_contra: 0.0006 (0.0059) time: 2.6774 data: 0.0051 max mem: 31630 Epoch: [19] [1370/5278] eta: 2:54:50 lr: 2.7685250626599034e-05 loss: 0.0599 (0.0752) loss_seg: 0.0596 (0.0748) loss_lansim: 0.0287 (0.0306) loss_contra: 0.0006 (0.0059) time: 2.6755 data: 0.0050 max mem: 31630 Epoch: [19] [1380/5278] eta: 2:54:24 lr: 2.7682974430176644e-05 loss: 0.0612 (0.0752) loss_seg: 0.0608 (0.0748) loss_lansim: 0.0287 (0.0306) loss_contra: 0.0006 (0.0058) time: 2.6757 data: 0.0050 max mem: 31630 Epoch: [19] [1390/5278] eta: 2:53:55 lr: 2.76806982129588e-05 loss: 0.0613 (0.0752) loss_seg: 0.0610 (0.0748) loss_lansim: 0.0290 (0.0306) loss_contra: 0.0004 (0.0058) time: 2.6725 data: 0.0050 max mem: 31630 Epoch: [19] [1400/5278] eta: 2:53:29 lr: 2.7678421974943426e-05 loss: 0.0602 (0.0751) loss_seg: 0.0599 (0.0747) loss_lansim: 0.0290 (0.0306) loss_contra: 0.0006 (0.0061) time: 2.6734 data: 0.0049 max mem: 31630 Epoch: [19] [1410/5278] eta: 2:53:01 lr: 2.767614571612843e-05 loss: 0.0599 (0.0750) loss_seg: 0.0596 (0.0746) loss_lansim: 0.0290 (0.0306) loss_contra: 0.0006 (0.0061) time: 2.6686 data: 0.0049 max mem: 31630 Epoch: [19] [1420/5278] eta: 2:52:34 lr: 2.767386943651172e-05 loss: 0.0613 (0.0752) loss_seg: 0.0610 (0.0748) loss_lansim: 0.0291 (0.0306) loss_contra: 0.0007 (0.0061) time: 2.6724 data: 0.0049 max mem: 31630 Epoch: [19] [1430/5278] eta: 2:52:06 lr: 2.76715931360912e-05 loss: 0.0613 (0.0751) loss_seg: 0.0610 (0.0747) loss_lansim: 0.0293 (0.0306) loss_contra: 0.0007 (0.0063) time: 2.6702 data: 0.0049 max mem: 31630 Epoch: [19] [1440/5278] eta: 2:51:39 lr: 2.7669316814864787e-05 loss: 0.0621 (0.0752) loss_seg: 0.0618 (0.0748) loss_lansim: 0.0293 (0.0306) loss_contra: 0.0009 (0.0063) time: 2.6681 data: 0.0049 max mem: 31630 Epoch: [19] [1450/5278] eta: 2:51:12 lr: 2.766704047283038e-05 loss: 0.0645 (0.0751) loss_seg: 0.0642 (0.0747) loss_lansim: 0.0294 (0.0305) loss_contra: 0.0010 (0.0063) time: 2.6719 data: 0.0049 max mem: 31630 Epoch: [19] [1460/5278] eta: 2:50:45 lr: 2.7664764109985898e-05 loss: 0.0633 (0.0750) loss_seg: 0.0630 (0.0746) loss_lansim: 0.0293 (0.0305) loss_contra: 0.0012 (0.0063) time: 2.6693 data: 0.0049 max mem: 31630 Epoch: [19] [1470/5278] eta: 2:50:18 lr: 2.7662487726329234e-05 loss: 0.0622 (0.0749) loss_seg: 0.0619 (0.0745) loss_lansim: 0.0293 (0.0305) loss_contra: 0.0016 (0.0063) time: 2.6721 data: 0.0049 max mem: 31630 Epoch: [19] [1480/5278] eta: 2:49:50 lr: 2.7660211321858303e-05 loss: 0.0631 (0.0749) loss_seg: 0.0628 (0.0746) loss_lansim: 0.0293 (0.0305) loss_contra: 0.0017 (0.0063) time: 2.6660 data: 0.0049 max mem: 31630 Epoch: [19] [1490/5278] eta: 2:49:23 lr: 2.765793489657102e-05 loss: 0.0645 (0.0749) loss_seg: 0.0642 (0.0746) loss_lansim: 0.0292 (0.0305) loss_contra: 0.0020 (0.0062) time: 2.6700 data: 0.0049 max mem: 31630 Epoch: [19] [1500/5278] eta: 2:48:56 lr: 2.765565845046526e-05 loss: 0.0633 (0.0749) loss_seg: 0.0630 (0.0745) loss_lansim: 0.0292 (0.0305) loss_contra: 0.0016 (0.0062) time: 2.6687 data: 0.0049 max mem: 31630 Epoch: [19] [1510/5278] eta: 2:48:29 lr: 2.7653381983538968e-05 loss: 0.0649 (0.0749) loss_seg: 0.0646 (0.0745) loss_lansim: 0.0295 (0.0305) loss_contra: 0.0013 (0.0062) time: 2.6704 data: 0.0049 max mem: 31630 Epoch: [19] [1520/5278] eta: 2:48:03 lr: 2.7651105495790025e-05 loss: 0.0645 (0.0748) loss_seg: 0.0642 (0.0745) loss_lansim: 0.0295 (0.0305) loss_contra: 0.0010 (0.0062) time: 2.6701 data: 0.0049 max mem: 31630 Epoch: [19] [1530/5278] eta: 2:47:35 lr: 2.764882898721634e-05 loss: 0.0646 (0.0749) loss_seg: 0.0643 (0.0745) loss_lansim: 0.0295 (0.0305) loss_contra: 0.0010 (0.0061) time: 2.6714 data: 0.0049 max mem: 31630 Epoch: [19] [1540/5278] eta: 2:47:09 lr: 2.7646552457815822e-05 loss: 0.0633 (0.0748) loss_seg: 0.0630 (0.0744) loss_lansim: 0.0293 (0.0305) loss_contra: 0.0008 (0.0061) time: 2.6747 data: 0.0049 max mem: 31630 Epoch: [19] [1550/5278] eta: 2:46:42 lr: 2.7644275907586364e-05 loss: 0.0646 (0.0748) loss_seg: 0.0642 (0.0744) loss_lansim: 0.0292 (0.0305) loss_contra: 0.0007 (0.0061) time: 2.6745 data: 0.0050 max mem: 31630 Epoch: [19] [1560/5278] eta: 2:46:15 lr: 2.7641999336525886e-05 loss: 0.0681 (0.0748) loss_seg: 0.0678 (0.0745) loss_lansim: 0.0295 (0.0305) loss_contra: 0.0006 (0.0061) time: 2.6765 data: 0.0051 max mem: 31630 Epoch: [19] [1570/5278] eta: 2:45:48 lr: 2.763972274463228e-05 loss: 0.0713 (0.0748) loss_seg: 0.0709 (0.0745) loss_lansim: 0.0295 (0.0305) loss_contra: 0.0006 (0.0061) time: 2.6742 data: 0.0051 max mem: 31630 Epoch: [19] [1580/5278] eta: 2:45:21 lr: 2.763744613190345e-05 loss: 0.0699 (0.0748) loss_seg: 0.0695 (0.0745) loss_lansim: 0.0295 (0.0305) loss_contra: 0.0005 (0.0061) time: 2.6775 data: 0.0052 max mem: 31630 Epoch: [19] [1590/5278] eta: 2:44:53 lr: 2.7635169498337304e-05 loss: 0.0688 (0.0749) loss_seg: 0.0685 (0.0745) loss_lansim: 0.0297 (0.0305) loss_contra: 0.0005 (0.0060) time: 2.6762 data: 0.0053 max mem: 31630 Epoch: [19] [1600/5278] eta: 2:44:27 lr: 2.7632892843931735e-05 loss: 0.0732 (0.0750) loss_seg: 0.0729 (0.0746) loss_lansim: 0.0298 (0.0305) loss_contra: 0.0004 (0.0060) time: 2.6767 data: 0.0053 max mem: 31630 Epoch: [19] [1610/5278] eta: 2:43:59 lr: 2.7630616168684643e-05 loss: 0.0732 (0.0751) loss_seg: 0.0729 (0.0747) loss_lansim: 0.0299 (0.0305) loss_contra: 0.0005 (0.0060) time: 2.6764 data: 0.0054 max mem: 31630 Epoch: [19] [1620/5278] eta: 2:43:32 lr: 2.7628339472593943e-05 loss: 0.0699 (0.0749) loss_seg: 0.0695 (0.0746) loss_lansim: 0.0303 (0.0305) loss_contra: 0.0005 (0.0060) time: 2.6723 data: 0.0054 max mem: 31630 Epoch: [19] [1630/5278] eta: 2:43:05 lr: 2.7626062755657522e-05 loss: 0.0688 (0.0750) loss_seg: 0.0684 (0.0746) loss_lansim: 0.0298 (0.0305) loss_contra: 0.0005 (0.0060) time: 2.6750 data: 0.0055 max mem: 31630 Epoch: [19] [1640/5278] eta: 2:42:38 lr: 2.7623786017873286e-05 loss: 0.0727 (0.0749) loss_seg: 0.0724 (0.0746) loss_lansim: 0.0302 (0.0305) loss_contra: 0.0005 (0.0060) time: 2.6708 data: 0.0055 max mem: 31630 Epoch: [19] [1650/5278] eta: 2:42:12 lr: 2.762150925923914e-05 loss: 0.0707 (0.0749) loss_seg: 0.0703 (0.0746) loss_lansim: 0.0303 (0.0305) loss_contra: 0.0005 (0.0059) time: 2.6747 data: 0.0055 max mem: 31630 Epoch: [19] [1660/5278] eta: 2:41:44 lr: 2.7619232479752972e-05 loss: 0.0707 (0.0750) loss_seg: 0.0703 (0.0746) loss_lansim: 0.0303 (0.0305) loss_contra: 0.0004 (0.0059) time: 2.6713 data: 0.0055 max mem: 31630 Epoch: [19] [1670/5278] eta: 2:41:17 lr: 2.7616955679412693e-05 loss: 0.0662 (0.0749) loss_seg: 0.0658 (0.0745) loss_lansim: 0.0303 (0.0305) loss_contra: 0.0004 (0.0059) time: 2.6705 data: 0.0054 max mem: 31630 Epoch: [19] [1680/5278] eta: 2:40:50 lr: 2.7614678858216193e-05 loss: 0.0639 (0.0748) loss_seg: 0.0635 (0.0744) loss_lansim: 0.0302 (0.0305) loss_contra: 0.0004 (0.0059) time: 2.6738 data: 0.0054 max mem: 31630 Epoch: [19] [1690/5278] eta: 2:40:23 lr: 2.761240201616137e-05 loss: 0.0665 (0.0749) loss_seg: 0.0662 (0.0745) loss_lansim: 0.0302 (0.0305) loss_contra: 0.0005 (0.0059) time: 2.6718 data: 0.0053 max mem: 31630 Epoch: [19] [1700/5278] eta: 2:39:56 lr: 2.7610125153246136e-05 loss: 0.0662 (0.0749) loss_seg: 0.0658 (0.0746) loss_lansim: 0.0301 (0.0305) loss_contra: 0.0005 (0.0059) time: 2.6726 data: 0.0053 max mem: 31630 Epoch: [19] [1710/5278] eta: 2:39:29 lr: 2.760784826946836e-05 loss: 0.0662 (0.0750) loss_seg: 0.0658 (0.0746) loss_lansim: 0.0297 (0.0305) loss_contra: 0.0004 (0.0058) time: 2.6738 data: 0.0053 max mem: 31630 Epoch: [19] [1720/5278] eta: 2:39:02 lr: 2.760557136482597e-05 loss: 0.0668 (0.0750) loss_seg: 0.0663 (0.0746) loss_lansim: 0.0293 (0.0305) loss_contra: 0.0004 (0.0058) time: 2.6755 data: 0.0053 max mem: 31630 Epoch: [19] [1730/5278] eta: 2:38:35 lr: 2.7603294439316847e-05 loss: 0.0677 (0.0750) loss_seg: 0.0674 (0.0746) loss_lansim: 0.0297 (0.0305) loss_contra: 0.0005 (0.0058) time: 2.6753 data: 0.0053 max mem: 31630 Epoch: [19] [1740/5278] eta: 2:38:09 lr: 2.7601017492938886e-05 loss: 0.0668 (0.0750) loss_seg: 0.0663 (0.0746) loss_lansim: 0.0296 (0.0305) loss_contra: 0.0005 (0.0059) time: 2.6777 data: 0.0053 max mem: 31630 Epoch: [19] [1750/5278] eta: 2:37:41 lr: 2.7598740525689985e-05 loss: 0.0667 (0.0749) loss_seg: 0.0663 (0.0746) loss_lansim: 0.0297 (0.0305) loss_contra: 0.0005 (0.0059) time: 2.6737 data: 0.0052 max mem: 31630 Epoch: [19] [1760/5278] eta: 2:37:14 lr: 2.759646353756804e-05 loss: 0.0655 (0.0750) loss_seg: 0.0652 (0.0747) loss_lansim: 0.0302 (0.0305) loss_contra: 0.0006 (0.0059) time: 2.6737 data: 0.0052 max mem: 31630 Epoch: [19] [1770/5278] eta: 2:36:47 lr: 2.7594186528570954e-05 loss: 0.0667 (0.0750) loss_seg: 0.0663 (0.0747) loss_lansim: 0.0305 (0.0305) loss_contra: 0.0006 (0.0059) time: 2.6757 data: 0.0052 max mem: 31630 Epoch: [19] [1780/5278] eta: 2:36:20 lr: 2.7591909498696605e-05 loss: 0.0667 (0.0750) loss_seg: 0.0663 (0.0746) loss_lansim: 0.0306 (0.0306) loss_contra: 0.0006 (0.0059) time: 2.6711 data: 0.0051 max mem: 31630 Epoch: [19] [1790/5278] eta: 2:35:53 lr: 2.7589632447942903e-05 loss: 0.0658 (0.0750) loss_seg: 0.0654 (0.0746) loss_lansim: 0.0301 (0.0306) loss_contra: 0.0006 (0.0059) time: 2.6743 data: 0.0052 max mem: 31630 Epoch: [19] [1800/5278] eta: 2:35:27 lr: 2.7587355376307732e-05 loss: 0.0667 (0.0750) loss_seg: 0.0663 (0.0746) loss_lansim: 0.0305 (0.0306) loss_contra: 0.0006 (0.0059) time: 2.6745 data: 0.0052 max mem: 31630 Epoch: [19] [1810/5278] eta: 2:35:00 lr: 2.758507828378899e-05 loss: 0.0667 (0.0750) loss_seg: 0.0663 (0.0747) loss_lansim: 0.0306 (0.0306) loss_contra: 0.0007 (0.0059) time: 2.6760 data: 0.0051 max mem: 31630 Epoch: [19] [1820/5278] eta: 2:34:32 lr: 2.758280117038457e-05 loss: 0.0655 (0.0749) loss_seg: 0.0651 (0.0746) loss_lansim: 0.0306 (0.0306) loss_contra: 0.0007 (0.0058) time: 2.6738 data: 0.0051 max mem: 31630 Epoch: [19] [1830/5278] eta: 2:34:05 lr: 2.7580524036092366e-05 loss: 0.0641 (0.0749) loss_seg: 0.0639 (0.0745) loss_lansim: 0.0309 (0.0306) loss_contra: 0.0006 (0.0058) time: 2.6717 data: 0.0051 max mem: 31630 Epoch: [19] [1840/5278] eta: 2:33:39 lr: 2.7578246880910252e-05 loss: 0.0631 (0.0748) loss_seg: 0.0627 (0.0745) loss_lansim: 0.0314 (0.0306) loss_contra: 0.0005 (0.0058) time: 2.6735 data: 0.0051 max mem: 31630 Epoch: [19] [1850/5278] eta: 2:33:11 lr: 2.7575969704836153e-05 loss: 0.0641 (0.0748) loss_seg: 0.0639 (0.0745) loss_lansim: 0.0315 (0.0306) loss_contra: 0.0005 (0.0058) time: 2.6716 data: 0.0051 max mem: 31630 Epoch: [19] [1860/5278] eta: 2:32:45 lr: 2.7573692507867933e-05 loss: 0.0658 (0.0748) loss_seg: 0.0654 (0.0745) loss_lansim: 0.0315 (0.0306) loss_contra: 0.0004 (0.0057) time: 2.6749 data: 0.0051 max mem: 31630 Epoch: [19] [1870/5278] eta: 2:32:17 lr: 2.7571415290003494e-05 loss: 0.0631 (0.0748) loss_seg: 0.0627 (0.0744) loss_lansim: 0.0315 (0.0306) loss_contra: 0.0004 (0.0057) time: 2.6719 data: 0.0052 max mem: 31630 Epoch: [19] [1880/5278] eta: 2:31:51 lr: 2.7569138051240734e-05 loss: 0.0655 (0.0748) loss_seg: 0.0651 (0.0744) loss_lansim: 0.0314 (0.0306) loss_contra: 0.0004 (0.0057) time: 2.6762 data: 0.0051 max mem: 31630 Epoch: [19] [1890/5278] eta: 2:31:24 lr: 2.7566860791577527e-05 loss: 0.0655 (0.0748) loss_seg: 0.0651 (0.0744) loss_lansim: 0.0318 (0.0306) loss_contra: 0.0004 (0.0057) time: 2.6748 data: 0.0051 max mem: 31630 Epoch: [19] [1900/5278] eta: 2:30:57 lr: 2.7564583511011766e-05 loss: 0.0647 (0.0748) loss_seg: 0.0644 (0.0745) loss_lansim: 0.0315 (0.0307) loss_contra: 0.0004 (0.0057) time: 2.6755 data: 0.0051 max mem: 31630 Epoch: [19] [1910/5278] eta: 2:30:30 lr: 2.756230620954135e-05 loss: 0.0663 (0.0749) loss_seg: 0.0659 (0.0746) loss_lansim: 0.0314 (0.0307) loss_contra: 0.0004 (0.0057) time: 2.6731 data: 0.0051 max mem: 31630 Epoch: [19] [1920/5278] eta: 2:30:03 lr: 2.7560028887164152e-05 loss: 0.0687 (0.0750) loss_seg: 0.0684 (0.0746) loss_lansim: 0.0313 (0.0307) loss_contra: 0.0004 (0.0057) time: 2.6767 data: 0.0051 max mem: 31630 Epoch: [19] [1930/5278] eta: 2:29:37 lr: 2.7557751543878085e-05 loss: 0.0678 (0.0749) loss_seg: 0.0675 (0.0745) loss_lansim: 0.0313 (0.0307) loss_contra: 0.0005 (0.0057) time: 2.6796 data: 0.0051 max mem: 31630 Epoch: [19] [1940/5278] eta: 2:29:10 lr: 2.7555474179681017e-05 loss: 0.0698 (0.0752) loss_seg: 0.0695 (0.0748) loss_lansim: 0.0313 (0.0307) loss_contra: 0.0006 (0.0057) time: 2.6800 data: 0.0051 max mem: 31630 Epoch: [19] [1950/5278] eta: 2:28:44 lr: 2.755319679457084e-05 loss: 0.0719 (0.0752) loss_seg: 0.0715 (0.0748) loss_lansim: 0.0311 (0.0307) loss_contra: 0.0006 (0.0057) time: 2.6845 data: 0.0051 max mem: 31630 Epoch: [19] [1960/5278] eta: 2:28:17 lr: 2.7550919388545447e-05 loss: 0.0719 (0.0752) loss_seg: 0.0715 (0.0749) loss_lansim: 0.0314 (0.0307) loss_contra: 0.0007 (0.0057) time: 2.6852 data: 0.0051 max mem: 31630 Epoch: [19] [1970/5278] eta: 2:27:50 lr: 2.7548641961602716e-05 loss: 0.0750 (0.0752) loss_seg: 0.0747 (0.0748) loss_lansim: 0.0313 (0.0307) loss_contra: 0.0008 (0.0057) time: 2.6890 data: 0.0051 max mem: 31630 Epoch: [19] [1980/5278] eta: 2:27:24 lr: 2.7546364513740542e-05 loss: 0.0739 (0.0751) loss_seg: 0.0726 (0.0748) loss_lansim: 0.0314 (0.0307) loss_contra: 0.0011 (0.0057) time: 2.6910 data: 0.0051 max mem: 31630 Epoch: [19] [1990/5278] eta: 2:26:57 lr: 2.7544087044956806e-05 loss: 0.0719 (0.0751) loss_seg: 0.0715 (0.0748) loss_lansim: 0.0314 (0.0307) loss_contra: 0.0011 (0.0057) time: 2.6908 data: 0.0051 max mem: 31630 Epoch: [19] [2000/5278] eta: 2:26:30 lr: 2.7541809555249388e-05 loss: 0.0719 (0.0751) loss_seg: 0.0715 (0.0748) loss_lansim: 0.0316 (0.0307) loss_contra: 0.0012 (0.0057) time: 2.6894 data: 0.0051 max mem: 31630 Epoch: [19] [2010/5278] eta: 2:26:03 lr: 2.753953204461619e-05 loss: 0.0712 (0.0751) loss_seg: 0.0709 (0.0748) loss_lansim: 0.0316 (0.0307) loss_contra: 0.0010 (0.0056) time: 2.6904 data: 0.0051 max mem: 31630 Epoch: [19] [2020/5278] eta: 2:25:36 lr: 2.7537254513055082e-05 loss: 0.0710 (0.0752) loss_seg: 0.0705 (0.0748) loss_lansim: 0.0316 (0.0307) loss_contra: 0.0009 (0.0056) time: 2.6877 data: 0.0051 max mem: 31630 Epoch: [19] [2030/5278] eta: 2:25:10 lr: 2.753497696056396e-05 loss: 0.0715 (0.0752) loss_seg: 0.0712 (0.0748) loss_lansim: 0.0316 (0.0307) loss_contra: 0.0008 (0.0056) time: 2.6874 data: 0.0051 max mem: 31630 Epoch: [19] [2040/5278] eta: 2:24:42 lr: 2.7532699387140697e-05 loss: 0.0679 (0.0751) loss_seg: 0.0676 (0.0747) loss_lansim: 0.0318 (0.0308) loss_contra: 0.0007 (0.0056) time: 2.6835 data: 0.0051 max mem: 31630 Epoch: [19] [2050/5278] eta: 2:24:16 lr: 2.7530421792783178e-05 loss: 0.0673 (0.0751) loss_seg: 0.0670 (0.0748) loss_lansim: 0.0323 (0.0308) loss_contra: 0.0007 (0.0056) time: 2.6866 data: 0.0051 max mem: 31630 Epoch: [19] [2060/5278] eta: 2:23:50 lr: 2.7528144177489295e-05 loss: 0.0652 (0.0751) loss_seg: 0.0649 (0.0747) loss_lansim: 0.0317 (0.0308) loss_contra: 0.0005 (0.0056) time: 2.6870 data: 0.0051 max mem: 31630 Epoch: [19] [2070/5278] eta: 2:23:23 lr: 2.7525866541256924e-05 loss: 0.0667 (0.0751) loss_seg: 0.0664 (0.0748) loss_lansim: 0.0318 (0.0308) loss_contra: 0.0005 (0.0056) time: 2.6872 data: 0.0052 max mem: 31630 Epoch: [19] [2080/5278] eta: 2:22:55 lr: 2.7523588884083946e-05 loss: 0.0673 (0.0752) loss_seg: 0.0670 (0.0748) loss_lansim: 0.0318 (0.0308) loss_contra: 0.0005 (0.0056) time: 2.6759 data: 0.0052 max mem: 31630 Epoch: [19] [2090/5278] eta: 2:22:27 lr: 2.7521311205968252e-05 loss: 0.0673 (0.0752) loss_seg: 0.0670 (0.0748) loss_lansim: 0.0318 (0.0308) loss_contra: 0.0005 (0.0056) time: 2.6712 data: 0.0052 max mem: 31630 Epoch: [19] [2100/5278] eta: 2:21:59 lr: 2.7519033506907717e-05 loss: 0.0671 (0.0751) loss_seg: 0.0667 (0.0748) loss_lansim: 0.0318 (0.0308) loss_contra: 0.0005 (0.0056) time: 2.6633 data: 0.0053 max mem: 31630 Epoch: [19] [2110/5278] eta: 2:21:32 lr: 2.7516755786900212e-05 loss: 0.0679 (0.0752) loss_seg: 0.0675 (0.0749) loss_lansim: 0.0318 (0.0308) loss_contra: 0.0007 (0.0055) time: 2.6580 data: 0.0053 max mem: 31630 Epoch: [19] [2120/5278] eta: 2:21:04 lr: 2.7514478045943642e-05 loss: 0.0663 (0.0752) loss_seg: 0.0659 (0.0748) loss_lansim: 0.0318 (0.0308) loss_contra: 0.0005 (0.0055) time: 2.6528 data: 0.0053 max mem: 31630 Epoch: [19] [2130/5278] eta: 2:20:36 lr: 2.751220028403586e-05 loss: 0.0671 (0.0752) loss_seg: 0.0667 (0.0748) loss_lansim: 0.0317 (0.0308) loss_contra: 0.0005 (0.0055) time: 2.6464 data: 0.0054 max mem: 31630 Epoch: [19] [2140/5278] eta: 2:20:08 lr: 2.7509922501174767e-05 loss: 0.0706 (0.0752) loss_seg: 0.0702 (0.0749) loss_lansim: 0.0315 (0.0308) loss_contra: 0.0005 (0.0055) time: 2.6410 data: 0.0054 max mem: 31630 Epoch: [19] [2150/5278] eta: 2:19:41 lr: 2.7507644697358235e-05 loss: 0.0734 (0.0753) loss_seg: 0.0731 (0.0749) loss_lansim: 0.0311 (0.0308) loss_contra: 0.0005 (0.0055) time: 2.6295 data: 0.0054 max mem: 31630 Epoch: [19] [2160/5278] eta: 2:19:13 lr: 2.7505366872584143e-05 loss: 0.0741 (0.0753) loss_seg: 0.0738 (0.0749) loss_lansim: 0.0309 (0.0308) loss_contra: 0.0005 (0.0055) time: 2.6198 data: 0.0054 max mem: 31630 Epoch: [19] [2170/5278] eta: 2:18:45 lr: 2.750308902685037e-05 loss: 0.0724 (0.0753) loss_seg: 0.0720 (0.0749) loss_lansim: 0.0304 (0.0308) loss_contra: 0.0006 (0.0055) time: 2.6124 data: 0.0054 max mem: 31630 Epoch: [19] [2180/5278] eta: 2:18:17 lr: 2.7500811160154794e-05 loss: 0.0724 (0.0753) loss_seg: 0.0720 (0.0750) loss_lansim: 0.0298 (0.0308) loss_contra: 0.0007 (0.0055) time: 2.6127 data: 0.0054 max mem: 31630 Epoch: [19] [2190/5278] eta: 2:17:49 lr: 2.749853327249529e-05 loss: 0.0741 (0.0753) loss_seg: 0.0738 (0.0750) loss_lansim: 0.0293 (0.0308) loss_contra: 0.0007 (0.0055) time: 2.6116 data: 0.0054 max mem: 31630 Epoch: [19] [2200/5278] eta: 2:17:22 lr: 2.7496255363869745e-05 loss: 0.0750 (0.0753) loss_seg: 0.0746 (0.0749) loss_lansim: 0.0295 (0.0308) loss_contra: 0.0006 (0.0055) time: 2.6120 data: 0.0054 max mem: 31630 Epoch: [19] [2210/5278] eta: 2:16:54 lr: 2.749397743427602e-05 loss: 0.0745 (0.0754) loss_seg: 0.0742 (0.0750) loss_lansim: 0.0293 (0.0308) loss_contra: 0.0006 (0.0055) time: 2.6115 data: 0.0054 max mem: 31630 Epoch: [19] [2220/5278] eta: 2:16:27 lr: 2.7491699483712012e-05 loss: 0.0750 (0.0753) loss_seg: 0.0746 (0.0750) loss_lansim: 0.0293 (0.0308) loss_contra: 0.0008 (0.0055) time: 2.6196 data: 0.0054 max mem: 31630 Epoch: [19] [2230/5278] eta: 2:16:01 lr: 2.7489421512175584e-05 loss: 0.0765 (0.0754) loss_seg: 0.0762 (0.0750) loss_lansim: 0.0293 (0.0308) loss_contra: 0.0009 (0.0055) time: 2.6267 data: 0.0054 max mem: 31630 Epoch: [19] [2240/5278] eta: 2:15:34 lr: 2.748714351966461e-05 loss: 0.0750 (0.0754) loss_seg: 0.0746 (0.0750) loss_lansim: 0.0303 (0.0308) loss_contra: 0.0009 (0.0055) time: 2.6343 data: 0.0054 max mem: 31630 Epoch: [19] [2250/5278] eta: 2:15:08 lr: 2.7484865506176978e-05 loss: 0.0732 (0.0754) loss_seg: 0.0729 (0.0750) loss_lansim: 0.0295 (0.0308) loss_contra: 0.0011 (0.0056) time: 2.6431 data: 0.0054 max mem: 31630 Epoch: [19] [2260/5278] eta: 2:14:41 lr: 2.7482587471710542e-05 loss: 0.0732 (0.0754) loss_seg: 0.0729 (0.0751) loss_lansim: 0.0301 (0.0308) loss_contra: 0.0011 (0.0056) time: 2.6505 data: 0.0054 max mem: 31630 Epoch: [19] [2270/5278] eta: 2:14:15 lr: 2.74803094162632e-05 loss: 0.0743 (0.0754) loss_seg: 0.0738 (0.0751) loss_lansim: 0.0303 (0.0308) loss_contra: 0.0010 (0.0056) time: 2.6616 data: 0.0053 max mem: 31630 Epoch: [19] [2280/5278] eta: 2:13:48 lr: 2.7478031339832812e-05 loss: 0.0743 (0.0755) loss_seg: 0.0738 (0.0751) loss_lansim: 0.0308 (0.0308) loss_contra: 0.0009 (0.0056) time: 2.6675 data: 0.0053 max mem: 31630 Epoch: [19] [2290/5278] eta: 2:13:22 lr: 2.747575324241726e-05 loss: 0.0700 (0.0754) loss_seg: 0.0697 (0.0751) loss_lansim: 0.0313 (0.0308) loss_contra: 0.0009 (0.0056) time: 2.6804 data: 0.0053 max mem: 31630 Epoch: [19] [2300/5278] eta: 2:12:55 lr: 2.7473475124014408e-05 loss: 0.0700 (0.0754) loss_seg: 0.0697 (0.0750) loss_lansim: 0.0313 (0.0308) loss_contra: 0.0010 (0.0056) time: 2.6886 data: 0.0053 max mem: 31630 Epoch: [19] [2310/5278] eta: 2:12:29 lr: 2.7471196984622138e-05 loss: 0.0679 (0.0753) loss_seg: 0.0676 (0.0750) loss_lansim: 0.0313 (0.0308) loss_contra: 0.0010 (0.0056) time: 2.6969 data: 0.0053 max mem: 31630 Epoch: [19] [2320/5278] eta: 2:12:02 lr: 2.7468918824238315e-05 loss: 0.0676 (0.0753) loss_seg: 0.0672 (0.0750) loss_lansim: 0.0304 (0.0308) loss_contra: 0.0009 (0.0056) time: 2.6961 data: 0.0053 max mem: 31630 Epoch: [19] [2330/5278] eta: 2:11:35 lr: 2.746664064286082e-05 loss: 0.0676 (0.0753) loss_seg: 0.0672 (0.0750) loss_lansim: 0.0305 (0.0308) loss_contra: 0.0008 (0.0055) time: 2.6959 data: 0.0053 max mem: 31630 Epoch: [19] [2340/5278] eta: 2:11:09 lr: 2.7464362440487507e-05 loss: 0.0644 (0.0753) loss_seg: 0.0641 (0.0750) loss_lansim: 0.0304 (0.0308) loss_contra: 0.0008 (0.0055) time: 2.6998 data: 0.0053 max mem: 31630 Epoch: [19] [2350/5278] eta: 2:10:42 lr: 2.7462084217116275e-05 loss: 0.0669 (0.0753) loss_seg: 0.0666 (0.0749) loss_lansim: 0.0306 (0.0308) loss_contra: 0.0008 (0.0055) time: 2.6970 data: 0.0053 max mem: 31630 Epoch: [19] [2360/5278] eta: 2:10:16 lr: 2.7459805972744967e-05 loss: 0.0669 (0.0753) loss_seg: 0.0666 (0.0750) loss_lansim: 0.0307 (0.0308) loss_contra: 0.0008 (0.0056) time: 2.7026 data: 0.0053 max mem: 31630 Epoch: [19] [2370/5278] eta: 2:09:50 lr: 2.745752770737147e-05 loss: 0.0679 (0.0753) loss_seg: 0.0676 (0.0750) loss_lansim: 0.0313 (0.0308) loss_contra: 0.0008 (0.0056) time: 2.7004 data: 0.0053 max mem: 31630 Epoch: [19] [2380/5278] eta: 2:09:24 lr: 2.7455249420993655e-05 loss: 0.0669 (0.0753) loss_seg: 0.0666 (0.0749) loss_lansim: 0.0313 (0.0308) loss_contra: 0.0009 (0.0057) time: 2.7051 data: 0.0053 max mem: 31630 Epoch: [19] [2390/5278] eta: 2:08:57 lr: 2.7452971113609382e-05 loss: 0.0644 (0.0752) loss_seg: 0.0641 (0.0749) loss_lansim: 0.0307 (0.0308) loss_contra: 0.0009 (0.0057) time: 2.7032 data: 0.0053 max mem: 31630 Epoch: [19] [2400/5278] eta: 2:08:30 lr: 2.745069278521653e-05 loss: 0.0644 (0.0752) loss_seg: 0.0641 (0.0749) loss_lansim: 0.0306 (0.0308) loss_contra: 0.0008 (0.0057) time: 2.7022 data: 0.0052 max mem: 31630 Epoch: [19] [2410/5278] eta: 2:08:04 lr: 2.7448414435812964e-05 loss: 0.0644 (0.0752) loss_seg: 0.0641 (0.0748) loss_lansim: 0.0305 (0.0308) loss_contra: 0.0008 (0.0057) time: 2.7003 data: 0.0052 max mem: 31630 Epoch: [19] [2420/5278] eta: 2:07:37 lr: 2.7446136065396537e-05 loss: 0.0661 (0.0752) loss_seg: 0.0658 (0.0748) loss_lansim: 0.0306 (0.0308) loss_contra: 0.0012 (0.0057) time: 2.7021 data: 0.0052 max mem: 31630 Epoch: [19] [2430/5278] eta: 2:07:10 lr: 2.7443857673965152e-05 loss: 0.0645 (0.0751) loss_seg: 0.0642 (0.0748) loss_lansim: 0.0313 (0.0308) loss_contra: 0.0012 (0.0057) time: 2.7006 data: 0.0052 max mem: 31630 Epoch: [19] [2440/5278] eta: 2:06:44 lr: 2.7441579261516643e-05 loss: 0.0645 (0.0751) loss_seg: 0.0642 (0.0747) loss_lansim: 0.0313 (0.0308) loss_contra: 0.0013 (0.0057) time: 2.6981 data: 0.0052 max mem: 31630 Epoch: [19] [2450/5278] eta: 2:06:18 lr: 2.7439300828048892e-05 loss: 0.0641 (0.0751) loss_seg: 0.0634 (0.0747) loss_lansim: 0.0315 (0.0308) loss_contra: 0.0012 (0.0057) time: 2.7050 data: 0.0052 max mem: 31630 Epoch: [19] [2460/5278] eta: 2:05:51 lr: 2.7437022373559767e-05 loss: 0.0643 (0.0751) loss_seg: 0.0640 (0.0747) loss_lansim: 0.0314 (0.0308) loss_contra: 0.0012 (0.0057) time: 2.6989 data: 0.0053 max mem: 31630 Epoch: [19] [2470/5278] eta: 2:05:24 lr: 2.7434743898047127e-05 loss: 0.0623 (0.0751) loss_seg: 0.0619 (0.0747) loss_lansim: 0.0314 (0.0308) loss_contra: 0.0011 (0.0057) time: 2.6982 data: 0.0053 max mem: 31630 Epoch: [19] [2480/5278] eta: 2:04:57 lr: 2.7432465401508843e-05 loss: 0.0641 (0.0752) loss_seg: 0.0634 (0.0748) loss_lansim: 0.0308 (0.0308) loss_contra: 0.0011 (0.0057) time: 2.6933 data: 0.0053 max mem: 31630 Epoch: [19] [2490/5278] eta: 2:04:31 lr: 2.7430186883942786e-05 loss: 0.0661 (0.0751) loss_seg: 0.0658 (0.0748) loss_lansim: 0.0314 (0.0308) loss_contra: 0.0010 (0.0057) time: 2.6923 data: 0.0053 max mem: 31630 Epoch: [19] [2500/5278] eta: 2:04:04 lr: 2.742790834534681e-05 loss: 0.0661 (0.0752) loss_seg: 0.0658 (0.0748) loss_lansim: 0.0315 (0.0308) loss_contra: 0.0007 (0.0057) time: 2.6918 data: 0.0053 max mem: 31630 Epoch: [19] [2510/5278] eta: 2:03:38 lr: 2.7425629785718787e-05 loss: 0.0661 (0.0752) loss_seg: 0.0658 (0.0749) loss_lansim: 0.0319 (0.0309) loss_contra: 0.0007 (0.0057) time: 2.6974 data: 0.0053 max mem: 31630 Epoch: [19] [2520/5278] eta: 2:03:11 lr: 2.742335120505658e-05 loss: 0.0636 (0.0752) loss_seg: 0.0632 (0.0748) loss_lansim: 0.0324 (0.0309) loss_contra: 0.0007 (0.0058) time: 2.6931 data: 0.0053 max mem: 31630 Epoch: [19] [2530/5278] eta: 2:02:44 lr: 2.7421072603358046e-05 loss: 0.0646 (0.0752) loss_seg: 0.0642 (0.0748) loss_lansim: 0.0322 (0.0309) loss_contra: 0.0007 (0.0058) time: 2.6943 data: 0.0053 max mem: 31630 Epoch: [19] [2540/5278] eta: 2:02:17 lr: 2.7418793980621065e-05 loss: 0.0664 (0.0752) loss_seg: 0.0661 (0.0748) loss_lansim: 0.0324 (0.0309) loss_contra: 0.0005 (0.0057) time: 2.6921 data: 0.0053 max mem: 31630 Epoch: [19] [2550/5278] eta: 2:01:50 lr: 2.7416515336843473e-05 loss: 0.0673 (0.0752) loss_seg: 0.0669 (0.0748) loss_lansim: 0.0324 (0.0309) loss_contra: 0.0006 (0.0057) time: 2.6851 data: 0.0053 max mem: 31630 Epoch: [19] [2560/5278] eta: 2:01:24 lr: 2.7414236672023165e-05 loss: 0.0709 (0.0753) loss_seg: 0.0707 (0.0749) loss_lansim: 0.0323 (0.0309) loss_contra: 0.0007 (0.0057) time: 2.6880 data: 0.0052 max mem: 31630 Epoch: [19] [2570/5278] eta: 2:00:57 lr: 2.7411957986157984e-05 loss: 0.0726 (0.0753) loss_seg: 0.0722 (0.0749) loss_lansim: 0.0322 (0.0309) loss_contra: 0.0007 (0.0057) time: 2.6858 data: 0.0052 max mem: 31630 Epoch: [19] [2580/5278] eta: 2:00:30 lr: 2.7409679279245785e-05 loss: 0.0717 (0.0752) loss_seg: 0.0714 (0.0748) loss_lansim: 0.0322 (0.0309) loss_contra: 0.0007 (0.0057) time: 2.6886 data: 0.0052 max mem: 31630 Epoch: [19] [2590/5278] eta: 2:00:03 lr: 2.7407400551284456e-05 loss: 0.0674 (0.0752) loss_seg: 0.0671 (0.0748) loss_lansim: 0.0319 (0.0309) loss_contra: 0.0008 (0.0057) time: 2.6832 data: 0.0052 max mem: 31630 Epoch: [19] [2600/5278] eta: 1:59:36 lr: 2.7405121802271834e-05 loss: 0.0677 (0.0753) loss_seg: 0.0673 (0.0749) loss_lansim: 0.0318 (0.0309) loss_contra: 0.0008 (0.0057) time: 2.6851 data: 0.0052 max mem: 31630 Epoch: [19] [2610/5278] eta: 1:59:09 lr: 2.7402843032205784e-05 loss: 0.0695 (0.0753) loss_seg: 0.0692 (0.0749) loss_lansim: 0.0317 (0.0309) loss_contra: 0.0008 (0.0057) time: 2.6781 data: 0.0052 max mem: 31630 Epoch: [19] [2620/5278] eta: 1:58:43 lr: 2.740056424108417e-05 loss: 0.0703 (0.0753) loss_seg: 0.0700 (0.0749) loss_lansim: 0.0315 (0.0309) loss_contra: 0.0007 (0.0057) time: 2.6846 data: 0.0052 max mem: 31630 Epoch: [19] [2630/5278] eta: 1:58:16 lr: 2.7398285428904847e-05 loss: 0.0722 (0.0753) loss_seg: 0.0719 (0.0749) loss_lansim: 0.0315 (0.0309) loss_contra: 0.0007 (0.0057) time: 2.6828 data: 0.0053 max mem: 31630 Epoch: [19] [2640/5278] eta: 1:57:50 lr: 2.739600659566569e-05 loss: 0.0720 (0.0753) loss_seg: 0.0716 (0.0749) loss_lansim: 0.0317 (0.0309) loss_contra: 0.0007 (0.0057) time: 2.6858 data: 0.0053 max mem: 31630 Epoch: [19] [2650/5278] eta: 1:57:23 lr: 2.739372774136454e-05 loss: 0.0707 (0.0753) loss_seg: 0.0703 (0.0749) loss_lansim: 0.0315 (0.0309) loss_contra: 0.0007 (0.0057) time: 2.6861 data: 0.0053 max mem: 31630 Epoch: [19] [2660/5278] eta: 1:56:56 lr: 2.739144886599926e-05 loss: 0.0693 (0.0753) loss_seg: 0.0690 (0.0749) loss_lansim: 0.0315 (0.0309) loss_contra: 0.0006 (0.0057) time: 2.6853 data: 0.0053 max mem: 31630 Epoch: [19] [2670/5278] eta: 1:56:29 lr: 2.7389169969567712e-05 loss: 0.0693 (0.0752) loss_seg: 0.0690 (0.0749) loss_lansim: 0.0317 (0.0309) loss_contra: 0.0006 (0.0057) time: 2.6827 data: 0.0053 max mem: 31630 Epoch: [19] [2680/5278] eta: 1:56:03 lr: 2.7386891052067755e-05 loss: 0.0697 (0.0752) loss_seg: 0.0693 (0.0749) loss_lansim: 0.0317 (0.0310) loss_contra: 0.0006 (0.0057) time: 2.6839 data: 0.0053 max mem: 31630 Epoch: [19] [2690/5278] eta: 1:55:36 lr: 2.738461211349724e-05 loss: 0.0703 (0.0753) loss_seg: 0.0700 (0.0750) loss_lansim: 0.0319 (0.0310) loss_contra: 0.0005 (0.0056) time: 2.6861 data: 0.0053 max mem: 31630 Epoch: [19] [2700/5278] eta: 1:55:09 lr: 2.738233315385403e-05 loss: 0.0699 (0.0753) loss_seg: 0.0695 (0.0749) loss_lansim: 0.0325 (0.0310) loss_contra: 0.0005 (0.0056) time: 2.6865 data: 0.0053 max mem: 31630 Epoch: [19] [2710/5278] eta: 1:54:42 lr: 2.7380054173135967e-05 loss: 0.0697 (0.0753) loss_seg: 0.0693 (0.0750) loss_lansim: 0.0332 (0.0310) loss_contra: 0.0006 (0.0056) time: 2.6890 data: 0.0054 max mem: 31630 Epoch: [19] [2720/5278] eta: 1:54:16 lr: 2.7377775171340924e-05 loss: 0.0703 (0.0753) loss_seg: 0.0700 (0.0750) loss_lansim: 0.0330 (0.0310) loss_contra: 0.0006 (0.0056) time: 2.6860 data: 0.0053 max mem: 31630 Epoch: [19] [2730/5278] eta: 1:53:49 lr: 2.737549614846675e-05 loss: 0.0703 (0.0753) loss_seg: 0.0700 (0.0749) loss_lansim: 0.0329 (0.0310) loss_contra: 0.0005 (0.0056) time: 2.6844 data: 0.0053 max mem: 31630 Epoch: [19] [2740/5278] eta: 1:53:22 lr: 2.7373217104511306e-05 loss: 0.0697 (0.0753) loss_seg: 0.0693 (0.0749) loss_lansim: 0.0329 (0.0310) loss_contra: 0.0005 (0.0056) time: 2.6822 data: 0.0052 max mem: 31630 Epoch: [19] [2750/5278] eta: 1:52:55 lr: 2.7370938039472436e-05 loss: 0.0697 (0.0753) loss_seg: 0.0694 (0.0749) loss_lansim: 0.0329 (0.0310) loss_contra: 0.0005 (0.0056) time: 2.6809 data: 0.0052 max mem: 31630 Epoch: [19] [2760/5278] eta: 1:52:28 lr: 2.7368658953348e-05 loss: 0.0703 (0.0753) loss_seg: 0.0700 (0.0749) loss_lansim: 0.0331 (0.0310) loss_contra: 0.0005 (0.0056) time: 2.6815 data: 0.0053 max mem: 31630 Epoch: [19] [2770/5278] eta: 1:52:02 lr: 2.736637984613586e-05 loss: 0.0716 (0.0753) loss_seg: 0.0712 (0.0749) loss_lansim: 0.0327 (0.0310) loss_contra: 0.0005 (0.0056) time: 2.6856 data: 0.0053 max mem: 31630 Epoch: [19] [2780/5278] eta: 1:51:35 lr: 2.736410071783385e-05 loss: 0.0715 (0.0754) loss_seg: 0.0712 (0.0750) loss_lansim: 0.0325 (0.0310) loss_contra: 0.0005 (0.0056) time: 2.6838 data: 0.0053 max mem: 31630 Epoch: [19] [2790/5278] eta: 1:51:08 lr: 2.7361821568439837e-05 loss: 0.0715 (0.0754) loss_seg: 0.0712 (0.0751) loss_lansim: 0.0324 (0.0310) loss_contra: 0.0006 (0.0056) time: 2.6831 data: 0.0053 max mem: 31630 Epoch: [19] [2800/5278] eta: 1:50:41 lr: 2.735954239795168e-05 loss: 0.0707 (0.0754) loss_seg: 0.0704 (0.0750) loss_lansim: 0.0325 (0.0311) loss_contra: 0.0004 (0.0056) time: 2.6839 data: 0.0053 max mem: 31630 Epoch: [19] [2810/5278] eta: 1:50:15 lr: 2.7357263206367213e-05 loss: 0.0703 (0.0754) loss_seg: 0.0699 (0.0750) loss_lansim: 0.0323 (0.0311) loss_contra: 0.0004 (0.0055) time: 2.6836 data: 0.0053 max mem: 31630 Epoch: [19] [2820/5278] eta: 1:49:48 lr: 2.7354983993684303e-05 loss: 0.0704 (0.0754) loss_seg: 0.0699 (0.0750) loss_lansim: 0.0324 (0.0311) loss_contra: 0.0005 (0.0055) time: 2.6836 data: 0.0053 max mem: 31630 Epoch: [19] [2830/5278] eta: 1:49:21 lr: 2.7352704759900793e-05 loss: 0.0685 (0.0754) loss_seg: 0.0682 (0.0750) loss_lansim: 0.0324 (0.0311) loss_contra: 0.0005 (0.0055) time: 2.6871 data: 0.0053 max mem: 31630 Epoch: [19] [2840/5278] eta: 1:48:54 lr: 2.735042550501453e-05 loss: 0.0704 (0.0754) loss_seg: 0.0699 (0.0751) loss_lansim: 0.0322 (0.0311) loss_contra: 0.0007 (0.0055) time: 2.6876 data: 0.0053 max mem: 31630 Epoch: [19] [2850/5278] eta: 1:48:28 lr: 2.734814622902338e-05 loss: 0.0710 (0.0755) loss_seg: 0.0707 (0.0751) loss_lansim: 0.0322 (0.0311) loss_contra: 0.0007 (0.0055) time: 2.6890 data: 0.0053 max mem: 31630 Epoch: [19] [2860/5278] eta: 1:48:01 lr: 2.734586693192518e-05 loss: 0.0723 (0.0755) loss_seg: 0.0720 (0.0751) loss_lansim: 0.0322 (0.0311) loss_contra: 0.0008 (0.0055) time: 2.6877 data: 0.0053 max mem: 31630 Epoch: [19] [2870/5278] eta: 1:47:34 lr: 2.7343587613717788e-05 loss: 0.0704 (0.0755) loss_seg: 0.0699 (0.0751) loss_lansim: 0.0323 (0.0311) loss_contra: 0.0007 (0.0055) time: 2.6846 data: 0.0053 max mem: 31630 Epoch: [19] [2880/5278] eta: 1:47:07 lr: 2.7341308274399048e-05 loss: 0.0687 (0.0755) loss_seg: 0.0684 (0.0751) loss_lansim: 0.0322 (0.0311) loss_contra: 0.0007 (0.0055) time: 2.6855 data: 0.0052 max mem: 31630 Epoch: [19] [2890/5278] eta: 1:46:40 lr: 2.733902891396681e-05 loss: 0.0679 (0.0754) loss_seg: 0.0675 (0.0751) loss_lansim: 0.0323 (0.0311) loss_contra: 0.0007 (0.0055) time: 2.6842 data: 0.0053 max mem: 31630 Epoch: [19] [2900/5278] eta: 1:46:14 lr: 2.733674953241892e-05 loss: 0.0683 (0.0754) loss_seg: 0.0679 (0.0751) loss_lansim: 0.0320 (0.0311) loss_contra: 0.0006 (0.0054) time: 2.6848 data: 0.0052 max mem: 31630 Epoch: [19] [2910/5278] eta: 1:45:47 lr: 2.7334470129753232e-05 loss: 0.0665 (0.0754) loss_seg: 0.0663 (0.0750) loss_lansim: 0.0322 (0.0311) loss_contra: 0.0006 (0.0054) time: 2.6831 data: 0.0052 max mem: 31630 Epoch: [19] [2920/5278] eta: 1:45:20 lr: 2.733219070596758e-05 loss: 0.0668 (0.0755) loss_seg: 0.0665 (0.0751) loss_lansim: 0.0323 (0.0311) loss_contra: 0.0005 (0.0054) time: 2.6797 data: 0.0052 max mem: 31630 Epoch: [19] [2930/5278] eta: 1:44:53 lr: 2.7329911261059838e-05 loss: 0.0667 (0.0755) loss_seg: 0.0664 (0.0751) loss_lansim: 0.0322 (0.0311) loss_contra: 0.0005 (0.0054) time: 2.6792 data: 0.0052 max mem: 31630 Epoch: [19] [2940/5278] eta: 1:44:27 lr: 2.7327631795027825e-05 loss: 0.0659 (0.0755) loss_seg: 0.0656 (0.0751) loss_lansim: 0.0326 (0.0311) loss_contra: 0.0004 (0.0054) time: 2.6833 data: 0.0052 max mem: 31630 Epoch: [19] [2950/5278] eta: 1:44:00 lr: 2.73253523078694e-05 loss: 0.0659 (0.0755) loss_seg: 0.0656 (0.0751) loss_lansim: 0.0329 (0.0312) loss_contra: 0.0004 (0.0054) time: 2.6846 data: 0.0051 max mem: 31630 Epoch: [19] [2960/5278] eta: 1:43:34 lr: 2.7323072799582415e-05 loss: 0.0659 (0.0755) loss_seg: 0.0656 (0.0751) loss_lansim: 0.0330 (0.0312) loss_contra: 0.0003 (0.0054) time: 2.6888 data: 0.0052 max mem: 31630 Epoch: [19] [2970/5278] eta: 1:43:07 lr: 2.7320793270164708e-05 loss: 0.0657 (0.0755) loss_seg: 0.0653 (0.0751) loss_lansim: 0.0334 (0.0312) loss_contra: 0.0003 (0.0054) time: 2.6929 data: 0.0052 max mem: 31630 Epoch: [19] [2980/5278] eta: 1:42:40 lr: 2.7318513719614118e-05 loss: 0.0659 (0.0755) loss_seg: 0.0656 (0.0751) loss_lansim: 0.0335 (0.0312) loss_contra: 0.0004 (0.0054) time: 2.6925 data: 0.0052 max mem: 31630 Epoch: [19] [2990/5278] eta: 1:42:13 lr: 2.7316234147928498e-05 loss: 0.0663 (0.0754) loss_seg: 0.0660 (0.0751) loss_lansim: 0.0333 (0.0312) loss_contra: 0.0004 (0.0054) time: 2.6955 data: 0.0052 max mem: 31630 Epoch: [19] [3000/5278] eta: 1:41:47 lr: 2.7313954555105685e-05 loss: 0.0665 (0.0754) loss_seg: 0.0663 (0.0750) loss_lansim: 0.0334 (0.0312) loss_contra: 0.0006 (0.0054) time: 2.6919 data: 0.0052 max mem: 31630 Epoch: [19] [3010/5278] eta: 1:41:20 lr: 2.7311674941143546e-05 loss: 0.0681 (0.0754) loss_seg: 0.0677 (0.0751) loss_lansim: 0.0335 (0.0312) loss_contra: 0.0005 (0.0054) time: 2.6953 data: 0.0052 max mem: 31630 Epoch: [19] [3020/5278] eta: 1:40:53 lr: 2.730939530603989e-05 loss: 0.0675 (0.0755) loss_seg: 0.0672 (0.0751) loss_lansim: 0.0335 (0.0312) loss_contra: 0.0006 (0.0054) time: 2.6984 data: 0.0052 max mem: 31630 Epoch: [19] [3030/5278] eta: 1:40:26 lr: 2.730711564979258e-05 loss: 0.0656 (0.0754) loss_seg: 0.0653 (0.0751) loss_lansim: 0.0337 (0.0312) loss_contra: 0.0006 (0.0053) time: 2.6991 data: 0.0052 max mem: 31630 Epoch: [19] [3040/5278] eta: 1:40:00 lr: 2.730483597239946e-05 loss: 0.0675 (0.0754) loss_seg: 0.0672 (0.0751) loss_lansim: 0.0335 (0.0312) loss_contra: 0.0006 (0.0053) time: 2.6959 data: 0.0052 max mem: 31630 Epoch: [19] [3050/5278] eta: 1:39:33 lr: 2.730255627385836e-05 loss: 0.0669 (0.0754) loss_seg: 0.0666 (0.0750) loss_lansim: 0.0335 (0.0312) loss_contra: 0.0006 (0.0053) time: 2.6956 data: 0.0052 max mem: 31630 Epoch: [19] [3060/5278] eta: 1:39:06 lr: 2.7300276554167143e-05 loss: 0.0669 (0.0755) loss_seg: 0.0666 (0.0751) loss_lansim: 0.0331 (0.0313) loss_contra: 0.0005 (0.0053) time: 2.6915 data: 0.0052 max mem: 31630 Epoch: [19] [3070/5278] eta: 1:38:40 lr: 2.729799681332363e-05 loss: 0.0669 (0.0755) loss_seg: 0.0666 (0.0751) loss_lansim: 0.0331 (0.0313) loss_contra: 0.0006 (0.0053) time: 2.6932 data: 0.0051 max mem: 31630 Epoch: [19] [3080/5278] eta: 1:38:13 lr: 2.7295717051325663e-05 loss: 0.0669 (0.0755) loss_seg: 0.0666 (0.0751) loss_lansim: 0.0330 (0.0313) loss_contra: 0.0006 (0.0053) time: 2.6907 data: 0.0051 max mem: 31630 Epoch: [19] [3090/5278] eta: 1:37:46 lr: 2.7293437268171095e-05 loss: 0.0679 (0.0755) loss_seg: 0.0676 (0.0752) loss_lansim: 0.0335 (0.0313) loss_contra: 0.0006 (0.0053) time: 2.6954 data: 0.0052 max mem: 31630 Epoch: [19] [3100/5278] eta: 1:37:20 lr: 2.729115746385776e-05 loss: 0.0716 (0.0755) loss_seg: 0.0712 (0.0752) loss_lansim: 0.0335 (0.0313) loss_contra: 0.0005 (0.0053) time: 2.6964 data: 0.0052 max mem: 31630 Epoch: [19] [3110/5278] eta: 1:36:53 lr: 2.7288877638383493e-05 loss: 0.0665 (0.0755) loss_seg: 0.0662 (0.0751) loss_lansim: 0.0330 (0.0313) loss_contra: 0.0005 (0.0053) time: 2.6966 data: 0.0051 max mem: 31630 Epoch: [19] [3120/5278] eta: 1:36:26 lr: 2.7286597791746137e-05 loss: 0.0672 (0.0755) loss_seg: 0.0669 (0.0751) loss_lansim: 0.0330 (0.0313) loss_contra: 0.0005 (0.0053) time: 2.6974 data: 0.0052 max mem: 31630 Epoch: [19] [3130/5278] eta: 1:35:59 lr: 2.728431792394353e-05 loss: 0.0700 (0.0755) loss_seg: 0.0697 (0.0752) loss_lansim: 0.0330 (0.0313) loss_contra: 0.0004 (0.0053) time: 2.6962 data: 0.0052 max mem: 31630 Epoch: [19] [3140/5278] eta: 1:35:33 lr: 2.7282038034973517e-05 loss: 0.0696 (0.0755) loss_seg: 0.0692 (0.0751) loss_lansim: 0.0329 (0.0313) loss_contra: 0.0004 (0.0053) time: 2.6945 data: 0.0052 max mem: 31630 Epoch: [19] [3150/5278] eta: 1:35:06 lr: 2.7279758124833928e-05 loss: 0.0679 (0.0755) loss_seg: 0.0676 (0.0751) loss_lansim: 0.0329 (0.0313) loss_contra: 0.0004 (0.0053) time: 2.6927 data: 0.0052 max mem: 31630 Epoch: [19] [3160/5278] eta: 1:34:39 lr: 2.7277478193522597e-05 loss: 0.0668 (0.0755) loss_seg: 0.0665 (0.0752) loss_lansim: 0.0330 (0.0313) loss_contra: 0.0004 (0.0053) time: 2.6944 data: 0.0052 max mem: 31630 Epoch: [19] [3170/5278] eta: 1:34:12 lr: 2.727519824103738e-05 loss: 0.0676 (0.0755) loss_seg: 0.0672 (0.0752) loss_lansim: 0.0329 (0.0313) loss_contra: 0.0004 (0.0053) time: 2.6893 data: 0.0052 max mem: 31630 Epoch: [19] [3180/5278] eta: 1:33:45 lr: 2.727291826737609e-05 loss: 0.0664 (0.0755) loss_seg: 0.0660 (0.0751) loss_lansim: 0.0328 (0.0313) loss_contra: 0.0004 (0.0053) time: 2.6925 data: 0.0052 max mem: 31630 Epoch: [19] [3190/5278] eta: 1:33:18 lr: 2.727063827253658e-05 loss: 0.0672 (0.0755) loss_seg: 0.0669 (0.0752) loss_lansim: 0.0321 (0.0313) loss_contra: 0.0005 (0.0053) time: 2.6857 data: 0.0051 max mem: 31630 Epoch: [19] [3200/5278] eta: 1:32:51 lr: 2.726835825651668e-05 loss: 0.0655 (0.0755) loss_seg: 0.0652 (0.0752) loss_lansim: 0.0319 (0.0313) loss_contra: 0.0005 (0.0053) time: 2.6818 data: 0.0051 max mem: 31630 Epoch: [19] [3210/5278] eta: 1:32:25 lr: 2.7266078219314217e-05 loss: 0.0668 (0.0755) loss_seg: 0.0665 (0.0751) loss_lansim: 0.0319 (0.0313) loss_contra: 0.0004 (0.0053) time: 2.6809 data: 0.0052 max mem: 31630 Epoch: [19] [3220/5278] eta: 1:31:58 lr: 2.7263798160927047e-05 loss: 0.0649 (0.0755) loss_seg: 0.0646 (0.0751) loss_lansim: 0.0314 (0.0313) loss_contra: 0.0004 (0.0053) time: 2.6808 data: 0.0052 max mem: 31630 Epoch: [19] [3230/5278] eta: 1:31:31 lr: 2.7261518081352984e-05 loss: 0.0655 (0.0755) loss_seg: 0.0652 (0.0751) loss_lansim: 0.0316 (0.0313) loss_contra: 0.0005 (0.0053) time: 2.6779 data: 0.0052 max mem: 31630 Epoch: [19] [3240/5278] eta: 1:31:04 lr: 2.7259237980589873e-05 loss: 0.0655 (0.0755) loss_seg: 0.0652 (0.0752) loss_lansim: 0.0317 (0.0313) loss_contra: 0.0004 (0.0052) time: 2.6774 data: 0.0052 max mem: 31630 Epoch: [19] [3250/5278] eta: 1:30:37 lr: 2.7256957858635553e-05 loss: 0.0657 (0.0755) loss_seg: 0.0654 (0.0751) loss_lansim: 0.0315 (0.0313) loss_contra: 0.0004 (0.0053) time: 2.6771 data: 0.0052 max mem: 31630 Epoch: [19] [3260/5278] eta: 1:30:11 lr: 2.725467771548783e-05 loss: 0.0680 (0.0755) loss_seg: 0.0677 (0.0751) loss_lansim: 0.0309 (0.0313) loss_contra: 0.0004 (0.0052) time: 2.6775 data: 0.0052 max mem: 31630 Epoch: [19] [3270/5278] eta: 1:29:44 lr: 2.725239755114457e-05 loss: 0.0657 (0.0754) loss_seg: 0.0654 (0.0751) loss_lansim: 0.0310 (0.0313) loss_contra: 0.0005 (0.0052) time: 2.6766 data: 0.0052 max mem: 31630 Epoch: [19] [3280/5278] eta: 1:29:17 lr: 2.725011736560359e-05 loss: 0.0689 (0.0755) loss_seg: 0.0686 (0.0751) loss_lansim: 0.0308 (0.0313) loss_contra: 0.0004 (0.0053) time: 2.6772 data: 0.0052 max mem: 31630 Epoch: [19] [3290/5278] eta: 1:28:50 lr: 2.724783715886272e-05 loss: 0.0689 (0.0757) loss_seg: 0.0686 (0.0753) loss_lansim: 0.0308 (0.0313) loss_contra: 0.0004 (0.0052) time: 2.6802 data: 0.0052 max mem: 31630 Epoch: [19] [3300/5278] eta: 1:28:24 lr: 2.724555693091981e-05 loss: 0.0685 (0.0756) loss_seg: 0.0679 (0.0753) loss_lansim: 0.0308 (0.0313) loss_contra: 0.0004 (0.0052) time: 2.6865 data: 0.0052 max mem: 31630 Epoch: [19] [3310/5278] eta: 1:27:57 lr: 2.724327668177266e-05 loss: 0.0703 (0.0756) loss_seg: 0.0699 (0.0753) loss_lansim: 0.0308 (0.0313) loss_contra: 0.0005 (0.0052) time: 2.6884 data: 0.0051 max mem: 31630 Epoch: [19] [3320/5278] eta: 1:27:30 lr: 2.7240996411419123e-05 loss: 0.0718 (0.0757) loss_seg: 0.0714 (0.0753) loss_lansim: 0.0316 (0.0313) loss_contra: 0.0005 (0.0052) time: 2.6876 data: 0.0051 max mem: 31630 Epoch: [19] [3330/5278] eta: 1:27:04 lr: 2.7238716119857027e-05 loss: 0.0727 (0.0757) loss_seg: 0.0724 (0.0753) loss_lansim: 0.0309 (0.0313) loss_contra: 0.0005 (0.0052) time: 2.6944 data: 0.0051 max mem: 31630 Epoch: [19] [3340/5278] eta: 1:26:37 lr: 2.723643580708419e-05 loss: 0.0710 (0.0757) loss_seg: 0.0706 (0.0753) loss_lansim: 0.0308 (0.0313) loss_contra: 0.0005 (0.0052) time: 2.6941 data: 0.0051 max mem: 31630 Epoch: [19] [3350/5278] eta: 1:26:10 lr: 2.723415547309846e-05 loss: 0.0718 (0.0756) loss_seg: 0.0714 (0.0753) loss_lansim: 0.0308 (0.0313) loss_contra: 0.0005 (0.0052) time: 2.6981 data: 0.0051 max mem: 31630 Epoch: [19] [3360/5278] eta: 1:25:43 lr: 2.7231875117897653e-05 loss: 0.0735 (0.0757) loss_seg: 0.0731 (0.0753) loss_lansim: 0.0309 (0.0313) loss_contra: 0.0004 (0.0052) time: 2.6940 data: 0.0051 max mem: 31630 Epoch: [19] [3370/5278] eta: 1:25:17 lr: 2.7229594741479602e-05 loss: 0.0735 (0.0756) loss_seg: 0.0731 (0.0753) loss_lansim: 0.0310 (0.0313) loss_contra: 0.0004 (0.0052) time: 2.7001 data: 0.0051 max mem: 31630 Epoch: [19] [3380/5278] eta: 1:24:50 lr: 2.7227314343842136e-05 loss: 0.0717 (0.0757) loss_seg: 0.0714 (0.0753) loss_lansim: 0.0310 (0.0313) loss_contra: 0.0004 (0.0052) time: 2.6978 data: 0.0051 max mem: 31630 Epoch: [19] [3390/5278] eta: 1:24:23 lr: 2.722503392498308e-05 loss: 0.0689 (0.0756) loss_seg: 0.0686 (0.0753) loss_lansim: 0.0310 (0.0313) loss_contra: 0.0003 (0.0051) time: 2.6968 data: 0.0051 max mem: 31630 Epoch: [19] [3400/5278] eta: 1:23:56 lr: 2.7222753484900265e-05 loss: 0.0696 (0.0756) loss_seg: 0.0690 (0.0752) loss_lansim: 0.0310 (0.0313) loss_contra: 0.0003 (0.0052) time: 2.6946 data: 0.0052 max mem: 31630 Epoch: [19] [3410/5278] eta: 1:23:29 lr: 2.7220473023591515e-05 loss: 0.0685 (0.0756) loss_seg: 0.0681 (0.0752) loss_lansim: 0.0310 (0.0313) loss_contra: 0.0003 (0.0052) time: 2.6930 data: 0.0052 max mem: 31630 Epoch: [19] [3420/5278] eta: 1:23:03 lr: 2.721819254105465e-05 loss: 0.0685 (0.0756) loss_seg: 0.0681 (0.0752) loss_lansim: 0.0310 (0.0314) loss_contra: 0.0003 (0.0052) time: 2.6948 data: 0.0052 max mem: 31630 Epoch: [19] [3430/5278] eta: 1:22:36 lr: 2.721591203728751e-05 loss: 0.0665 (0.0756) loss_seg: 0.0662 (0.0752) loss_lansim: 0.0311 (0.0314) loss_contra: 0.0003 (0.0052) time: 2.6881 data: 0.0052 max mem: 31630 Epoch: [19] [3440/5278] eta: 1:22:09 lr: 2.7213631512287913e-05 loss: 0.0677 (0.0756) loss_seg: 0.0674 (0.0752) loss_lansim: 0.0311 (0.0314) loss_contra: 0.0004 (0.0052) time: 2.6933 data: 0.0052 max mem: 31630 Epoch: [19] [3450/5278] eta: 1:21:42 lr: 2.7211350966053685e-05 loss: 0.0689 (0.0756) loss_seg: 0.0686 (0.0752) loss_lansim: 0.0312 (0.0314) loss_contra: 0.0004 (0.0052) time: 2.6925 data: 0.0053 max mem: 31630 Epoch: [19] [3460/5278] eta: 1:21:16 lr: 2.7209070398582654e-05 loss: 0.0689 (0.0756) loss_seg: 0.0686 (0.0752) loss_lansim: 0.0312 (0.0314) loss_contra: 0.0004 (0.0052) time: 2.6969 data: 0.0053 max mem: 31630 Epoch: [19] [3470/5278] eta: 1:20:49 lr: 2.720678980987264e-05 loss: 0.0678 (0.0755) loss_seg: 0.0675 (0.0752) loss_lansim: 0.0311 (0.0314) loss_contra: 0.0004 (0.0052) time: 2.6948 data: 0.0053 max mem: 31630 Epoch: [19] [3480/5278] eta: 1:20:22 lr: 2.7204509199921468e-05 loss: 0.0677 (0.0755) loss_seg: 0.0674 (0.0752) loss_lansim: 0.0310 (0.0314) loss_contra: 0.0004 (0.0052) time: 2.6940 data: 0.0053 max mem: 31630 Epoch: [19] [3490/5278] eta: 1:19:56 lr: 2.7202228568726962e-05 loss: 0.0677 (0.0755) loss_seg: 0.0674 (0.0751) loss_lansim: 0.0312 (0.0314) loss_contra: 0.0005 (0.0052) time: 2.6980 data: 0.0053 max mem: 31630 Epoch: [19] [3500/5278] eta: 1:19:29 lr: 2.7199947916286943e-05 loss: 0.0677 (0.0755) loss_seg: 0.0674 (0.0751) loss_lansim: 0.0310 (0.0313) loss_contra: 0.0005 (0.0052) time: 2.6959 data: 0.0053 max mem: 31630 Epoch: [19] [3510/5278] eta: 1:19:02 lr: 2.7197667242599244e-05 loss: 0.0678 (0.0755) loss_seg: 0.0675 (0.0752) loss_lansim: 0.0309 (0.0313) loss_contra: 0.0005 (0.0051) time: 2.6991 data: 0.0053 max mem: 31630 Epoch: [19] [3520/5278] eta: 1:18:35 lr: 2.7195386547661673e-05 loss: 0.0678 (0.0755) loss_seg: 0.0675 (0.0752) loss_lansim: 0.0307 (0.0313) loss_contra: 0.0005 (0.0051) time: 2.6966 data: 0.0053 max mem: 31630 Epoch: [19] [3530/5278] eta: 1:18:09 lr: 2.719310583147206e-05 loss: 0.0677 (0.0755) loss_seg: 0.0674 (0.0751) loss_lansim: 0.0306 (0.0313) loss_contra: 0.0005 (0.0051) time: 2.7014 data: 0.0053 max mem: 31630 Epoch: [19] [3540/5278] eta: 1:17:42 lr: 2.719082509402823e-05 loss: 0.0647 (0.0755) loss_seg: 0.0644 (0.0751) loss_lansim: 0.0306 (0.0313) loss_contra: 0.0005 (0.0052) time: 2.6984 data: 0.0053 max mem: 31630 Epoch: [19] [3550/5278] eta: 1:17:15 lr: 2.718854433532798e-05 loss: 0.0663 (0.0755) loss_seg: 0.0660 (0.0752) loss_lansim: 0.0306 (0.0313) loss_contra: 0.0005 (0.0052) time: 2.6965 data: 0.0052 max mem: 31630 Epoch: [19] [3560/5278] eta: 1:16:48 lr: 2.718626355536917e-05 loss: 0.0639 (0.0755) loss_seg: 0.0635 (0.0751) loss_lansim: 0.0304 (0.0313) loss_contra: 0.0005 (0.0052) time: 2.6975 data: 0.0052 max mem: 31630 Epoch: [19] [3570/5278] eta: 1:16:21 lr: 2.718398275414959e-05 loss: 0.0647 (0.0755) loss_seg: 0.0641 (0.0752) loss_lansim: 0.0306 (0.0313) loss_contra: 0.0005 (0.0052) time: 2.6955 data: 0.0051 max mem: 31630 Epoch: [19] [3580/5278] eta: 1:15:55 lr: 2.7181701931667074e-05 loss: 0.0655 (0.0755) loss_seg: 0.0651 (0.0752) loss_lansim: 0.0308 (0.0313) loss_contra: 0.0007 (0.0052) time: 2.7003 data: 0.0051 max mem: 31630 Epoch: [19] [3590/5278] eta: 1:15:28 lr: 2.7179421087919438e-05 loss: 0.0714 (0.0756) loss_seg: 0.0711 (0.0752) loss_lansim: 0.0310 (0.0314) loss_contra: 0.0006 (0.0052) time: 2.6976 data: 0.0051 max mem: 31630 Epoch: [19] [3600/5278] eta: 1:15:01 lr: 2.7177140222904496e-05 loss: 0.0686 (0.0755) loss_seg: 0.0683 (0.0751) loss_lansim: 0.0314 (0.0314) loss_contra: 0.0005 (0.0052) time: 2.7016 data: 0.0051 max mem: 31630 Epoch: [19] [3610/5278] eta: 1:14:35 lr: 2.717485933662007e-05 loss: 0.0655 (0.0755) loss_seg: 0.0651 (0.0751) loss_lansim: 0.0319 (0.0314) loss_contra: 0.0005 (0.0051) time: 2.7003 data: 0.0051 max mem: 31630 Epoch: [19] [3620/5278] eta: 1:14:08 lr: 2.7172578429063978e-05 loss: 0.0628 (0.0754) loss_seg: 0.0625 (0.0750) loss_lansim: 0.0319 (0.0314) loss_contra: 0.0005 (0.0051) time: 2.7012 data: 0.0051 max mem: 31630 Epoch: [19] [3630/5278] eta: 1:13:41 lr: 2.717029750023403e-05 loss: 0.0655 (0.0754) loss_seg: 0.0651 (0.0750) loss_lansim: 0.0322 (0.0314) loss_contra: 0.0005 (0.0051) time: 2.7033 data: 0.0051 max mem: 31630 Epoch: [19] [3640/5278] eta: 1:13:14 lr: 2.7168016550128067e-05 loss: 0.0695 (0.0754) loss_seg: 0.0691 (0.0750) loss_lansim: 0.0323 (0.0314) loss_contra: 0.0005 (0.0052) time: 2.7017 data: 0.0051 max mem: 31630 Epoch: [19] [3650/5278] eta: 1:12:48 lr: 2.716573557874388e-05 loss: 0.0658 (0.0755) loss_seg: 0.0654 (0.0751) loss_lansim: 0.0325 (0.0314) loss_contra: 0.0005 (0.0052) time: 2.7086 data: 0.0051 max mem: 31630 Epoch: [19] [3660/5278] eta: 1:12:21 lr: 2.7163454586079297e-05 loss: 0.0667 (0.0754) loss_seg: 0.0663 (0.0751) loss_lansim: 0.0326 (0.0314) loss_contra: 0.0007 (0.0052) time: 2.7138 data: 0.0051 max mem: 31630 Epoch: [19] [3670/5278] eta: 1:11:55 lr: 2.716117357213213e-05 loss: 0.0667 (0.0754) loss_seg: 0.0663 (0.0750) loss_lansim: 0.0328 (0.0314) loss_contra: 0.0007 (0.0052) time: 2.7227 data: 0.0051 max mem: 31630 Epoch: [19] [3680/5278] eta: 1:11:29 lr: 2.71588925369002e-05 loss: 0.0641 (0.0754) loss_seg: 0.0631 (0.0750) loss_lansim: 0.0324 (0.0314) loss_contra: 0.0007 (0.0052) time: 2.7289 data: 0.0051 max mem: 31630 Epoch: [19] [3690/5278] eta: 1:11:02 lr: 2.7156611480381313e-05 loss: 0.0633 (0.0754) loss_seg: 0.0626 (0.0751) loss_lansim: 0.0324 (0.0314) loss_contra: 0.0008 (0.0052) time: 2.7401 data: 0.0052 max mem: 31630 Epoch: [19] [3700/5278] eta: 1:10:36 lr: 2.7154330402573297e-05 loss: 0.0633 (0.0754) loss_seg: 0.0629 (0.0750) loss_lansim: 0.0328 (0.0314) loss_contra: 0.0008 (0.0052) time: 2.7528 data: 0.0052 max mem: 31630 Epoch: [19] [3710/5278] eta: 1:10:10 lr: 2.715204930347395e-05 loss: 0.0658 (0.0754) loss_seg: 0.0654 (0.0751) loss_lansim: 0.0327 (0.0314) loss_contra: 0.0008 (0.0052) time: 2.7650 data: 0.0053 max mem: 31630 Epoch: [19] [3720/5278] eta: 1:09:44 lr: 2.7149768183081097e-05 loss: 0.0689 (0.0754) loss_seg: 0.0685 (0.0751) loss_lansim: 0.0327 (0.0314) loss_contra: 0.0008 (0.0052) time: 2.7787 data: 0.0054 max mem: 31630 Epoch: [19] [3730/5278] eta: 1:09:17 lr: 2.7147487041392543e-05 loss: 0.0673 (0.0754) loss_seg: 0.0670 (0.0750) loss_lansim: 0.0329 (0.0314) loss_contra: 0.0008 (0.0052) time: 2.7932 data: 0.0054 max mem: 31630 Epoch: [19] [3740/5278] eta: 1:08:51 lr: 2.7145205878406115e-05 loss: 0.0643 (0.0754) loss_seg: 0.0637 (0.0750) loss_lansim: 0.0329 (0.0314) loss_contra: 0.0007 (0.0052) time: 2.8066 data: 0.0055 max mem: 31630 Epoch: [19] [3750/5278] eta: 1:08:25 lr: 2.7142924694119614e-05 loss: 0.0633 (0.0754) loss_seg: 0.0629 (0.0750) loss_lansim: 0.0325 (0.0314) loss_contra: 0.0006 (0.0052) time: 2.8177 data: 0.0056 max mem: 31630 Epoch: [19] [3760/5278] eta: 1:07:59 lr: 2.7140643488530847e-05 loss: 0.0633 (0.0754) loss_seg: 0.0629 (0.0750) loss_lansim: 0.0323 (0.0314) loss_contra: 0.0006 (0.0052) time: 2.8206 data: 0.0057 max mem: 31630 Epoch: [19] [3770/5278] eta: 1:07:32 lr: 2.7138362261637646e-05 loss: 0.0633 (0.0753) loss_seg: 0.0627 (0.0749) loss_lansim: 0.0320 (0.0314) loss_contra: 0.0005 (0.0052) time: 2.8283 data: 0.0057 max mem: 31630 Epoch: [19] [3780/5278] eta: 1:07:06 lr: 2.7136081013437802e-05 loss: 0.0633 (0.0753) loss_seg: 0.0627 (0.0749) loss_lansim: 0.0320 (0.0314) loss_contra: 0.0005 (0.0052) time: 2.8323 data: 0.0058 max mem: 31630 Epoch: [19] [3790/5278] eta: 1:06:40 lr: 2.7133799743929134e-05 loss: 0.0633 (0.0753) loss_seg: 0.0629 (0.0749) loss_lansim: 0.0320 (0.0314) loss_contra: 0.0005 (0.0052) time: 2.8367 data: 0.0058 max mem: 31630 Epoch: [19] [3800/5278] eta: 1:06:14 lr: 2.7131518453109455e-05 loss: 0.0655 (0.0753) loss_seg: 0.0651 (0.0749) loss_lansim: 0.0320 (0.0314) loss_contra: 0.0004 (0.0052) time: 2.8397 data: 0.0058 max mem: 31630 Epoch: [19] [3810/5278] eta: 1:05:47 lr: 2.7129237140976564e-05 loss: 0.0654 (0.0753) loss_seg: 0.0650 (0.0749) loss_lansim: 0.0315 (0.0314) loss_contra: 0.0005 (0.0052) time: 2.8407 data: 0.0059 max mem: 31630 Epoch: [19] [3820/5278] eta: 1:05:21 lr: 2.7126955807528283e-05 loss: 0.0654 (0.0752) loss_seg: 0.0650 (0.0749) loss_lansim: 0.0314 (0.0314) loss_contra: 0.0005 (0.0052) time: 2.8449 data: 0.0059 max mem: 31630 Epoch: [19] [3830/5278] eta: 1:04:55 lr: 2.7124674452762417e-05 loss: 0.0629 (0.0752) loss_seg: 0.0626 (0.0748) loss_lansim: 0.0313 (0.0314) loss_contra: 0.0005 (0.0052) time: 2.8447 data: 0.0060 max mem: 31630 Epoch: [19] [3840/5278] eta: 1:04:29 lr: 2.7122393076676767e-05 loss: 0.0648 (0.0752) loss_seg: 0.0645 (0.0748) loss_lansim: 0.0312 (0.0314) loss_contra: 0.0005 (0.0051) time: 2.8518 data: 0.0060 max mem: 31630 Epoch: [19] [3850/5278] eta: 1:04:02 lr: 2.7120111679269156e-05 loss: 0.0648 (0.0752) loss_seg: 0.0645 (0.0748) loss_lansim: 0.0312 (0.0314) loss_contra: 0.0004 (0.0051) time: 2.8522 data: 0.0061 max mem: 31630 Epoch: [19] [3860/5278] eta: 1:03:36 lr: 2.711783026053738e-05 loss: 0.0652 (0.0752) loss_seg: 0.0649 (0.0748) loss_lansim: 0.0312 (0.0314) loss_contra: 0.0004 (0.0051) time: 2.8578 data: 0.0061 max mem: 31630 Epoch: [19] [3870/5278] eta: 1:03:10 lr: 2.7115548820479246e-05 loss: 0.0680 (0.0752) loss_seg: 0.0676 (0.0748) loss_lansim: 0.0314 (0.0314) loss_contra: 0.0004 (0.0052) time: 2.8614 data: 0.0061 max mem: 31630 Epoch: [19] [3880/5278] eta: 1:02:44 lr: 2.711326735909257e-05 loss: 0.0682 (0.0752) loss_seg: 0.0679 (0.0748) loss_lansim: 0.0316 (0.0314) loss_contra: 0.0004 (0.0052) time: 2.8635 data: 0.0063 max mem: 31630 Epoch: [19] [3890/5278] eta: 1:02:17 lr: 2.711098587637515e-05 loss: 0.0654 (0.0752) loss_seg: 0.0650 (0.0748) loss_lansim: 0.0318 (0.0314) loss_contra: 0.0003 (0.0052) time: 2.8674 data: 0.0064 max mem: 31630 Epoch: [19] [3900/5278] eta: 1:01:51 lr: 2.71087043723248e-05 loss: 0.0652 (0.0751) loss_seg: 0.0649 (0.0748) loss_lansim: 0.0319 (0.0315) loss_contra: 0.0004 (0.0052) time: 2.8650 data: 0.0064 max mem: 31630 Epoch: [19] [3910/5278] eta: 1:01:25 lr: 2.710642284693932e-05 loss: 0.0663 (0.0751) loss_seg: 0.0660 (0.0748) loss_lansim: 0.0320 (0.0315) loss_contra: 0.0004 (0.0052) time: 2.8690 data: 0.0064 max mem: 31630 Epoch: [19] [3920/5278] eta: 1:00:58 lr: 2.7104141300216506e-05 loss: 0.0676 (0.0752) loss_seg: 0.0673 (0.0748) loss_lansim: 0.0326 (0.0315) loss_contra: 0.0003 (0.0052) time: 2.8707 data: 0.0065 max mem: 31630 Epoch: [19] [3930/5278] eta: 1:00:32 lr: 2.7101859732154182e-05 loss: 0.0689 (0.0752) loss_seg: 0.0685 (0.0748) loss_lansim: 0.0328 (0.0315) loss_contra: 0.0003 (0.0052) time: 2.8710 data: 0.0065 max mem: 31630 Epoch: [19] [3940/5278] eta: 1:00:06 lr: 2.7099578142750138e-05 loss: 0.0701 (0.0752) loss_seg: 0.0698 (0.0748) loss_lansim: 0.0324 (0.0315) loss_contra: 0.0003 (0.0052) time: 2.8735 data: 0.0065 max mem: 31630 Epoch: [19] [3950/5278] eta: 0:59:40 lr: 2.7097296532002188e-05 loss: 0.0704 (0.0752) loss_seg: 0.0700 (0.0749) loss_lansim: 0.0330 (0.0315) loss_contra: 0.0006 (0.0052) time: 2.8777 data: 0.0065 max mem: 31630 Epoch: [19] [3960/5278] eta: 0:59:13 lr: 2.7095014899908127e-05 loss: 0.0704 (0.0752) loss_seg: 0.0699 (0.0749) loss_lansim: 0.0329 (0.0315) loss_contra: 0.0006 (0.0052) time: 2.8789 data: 0.0065 max mem: 31630 Epoch: [19] [3970/5278] eta: 0:58:47 lr: 2.7092733246465757e-05 loss: 0.0692 (0.0752) loss_seg: 0.0689 (0.0748) loss_lansim: 0.0329 (0.0315) loss_contra: 0.0006 (0.0052) time: 2.8802 data: 0.0065 max mem: 31630 Epoch: [19] [3980/5278] eta: 0:58:21 lr: 2.7090451571672894e-05 loss: 0.0693 (0.0752) loss_seg: 0.0690 (0.0748) loss_lansim: 0.0329 (0.0315) loss_contra: 0.0007 (0.0052) time: 2.8832 data: 0.0064 max mem: 31630 Epoch: [19] [3990/5278] eta: 0:57:54 lr: 2.7088169875527326e-05 loss: 0.0701 (0.0752) loss_seg: 0.0698 (0.0748) loss_lansim: 0.0329 (0.0315) loss_contra: 0.0008 (0.0052) time: 2.8868 data: 0.0063 max mem: 31630 Epoch: [19] [4000/5278] eta: 0:57:28 lr: 2.7085888158026856e-05 loss: 0.0701 (0.0752) loss_seg: 0.0698 (0.0748) loss_lansim: 0.0329 (0.0315) loss_contra: 0.0007 (0.0052) time: 2.8888 data: 0.0062 max mem: 31630 Epoch: [19] [4010/5278] eta: 0:57:02 lr: 2.70836064191693e-05 loss: 0.0714 (0.0752) loss_seg: 0.0711 (0.0749) loss_lansim: 0.0331 (0.0315) loss_contra: 0.0006 (0.0052) time: 2.8928 data: 0.0063 max mem: 31630 Epoch: [19] [4020/5278] eta: 0:56:35 lr: 2.7081324658952432e-05 loss: 0.0700 (0.0752) loss_seg: 0.0696 (0.0748) loss_lansim: 0.0330 (0.0315) loss_contra: 0.0005 (0.0052) time: 2.8916 data: 0.0062 max mem: 31630 Epoch: [19] [4030/5278] eta: 0:56:09 lr: 2.707904287737408e-05 loss: 0.0710 (0.0753) loss_seg: 0.0706 (0.0749) loss_lansim: 0.0335 (0.0315) loss_contra: 0.0005 (0.0052) time: 2.8923 data: 0.0063 max mem: 31630 Epoch: [19] [4040/5278] eta: 0:55:42 lr: 2.7076761074432032e-05 loss: 0.0714 (0.0753) loss_seg: 0.0711 (0.0749) loss_lansim: 0.0340 (0.0315) loss_contra: 0.0004 (0.0052) time: 2.8885 data: 0.0062 max mem: 31630 Epoch: [19] [4050/5278] eta: 0:55:16 lr: 2.7074479250124078e-05 loss: 0.0714 (0.0753) loss_seg: 0.0711 (0.0749) loss_lansim: 0.0339 (0.0315) loss_contra: 0.0004 (0.0052) time: 2.8846 data: 0.0062 max mem: 31630 Epoch: [19] [4060/5278] eta: 0:54:49 lr: 2.7072197404448034e-05 loss: 0.0711 (0.0752) loss_seg: 0.0707 (0.0749) loss_lansim: 0.0341 (0.0315) loss_contra: 0.0003 (0.0052) time: 2.8845 data: 0.0062 max mem: 31630 Epoch: [19] [4070/5278] eta: 0:54:23 lr: 2.706991553740169e-05 loss: 0.0710 (0.0752) loss_seg: 0.0706 (0.0748) loss_lansim: 0.0340 (0.0315) loss_contra: 0.0003 (0.0052) time: 2.8863 data: 0.0062 max mem: 31630 Epoch: [19] [4080/5278] eta: 0:53:56 lr: 2.706763364898285e-05 loss: 0.0690 (0.0751) loss_seg: 0.0687 (0.0748) loss_lansim: 0.0340 (0.0316) loss_contra: 0.0003 (0.0052) time: 2.8828 data: 0.0062 max mem: 31630 Epoch: [19] [4090/5278] eta: 0:53:30 lr: 2.7065351739189305e-05 loss: 0.0690 (0.0752) loss_seg: 0.0687 (0.0748) loss_lansim: 0.0341 (0.0316) loss_contra: 0.0003 (0.0052) time: 2.8776 data: 0.0062 max mem: 31630 Epoch: [19] [4100/5278] eta: 0:53:03 lr: 2.7063069808018854e-05 loss: 0.0686 (0.0752) loss_seg: 0.0683 (0.0748) loss_lansim: 0.0346 (0.0316) loss_contra: 0.0003 (0.0052) time: 2.8775 data: 0.0062 max mem: 31630 Epoch: [19] [4110/5278] eta: 0:52:37 lr: 2.7060787855469295e-05 loss: 0.0640 (0.0751) loss_seg: 0.0637 (0.0747) loss_lansim: 0.0346 (0.0316) loss_contra: 0.0003 (0.0052) time: 2.8715 data: 0.0062 max mem: 31630 Epoch: [19] [4120/5278] eta: 0:52:10 lr: 2.7058505881538426e-05 loss: 0.0650 (0.0751) loss_seg: 0.0646 (0.0748) loss_lansim: 0.0347 (0.0316) loss_contra: 0.0003 (0.0051) time: 2.8720 data: 0.0062 max mem: 31630 Epoch: [19] [4130/5278] eta: 0:51:43 lr: 2.7056223886224037e-05 loss: 0.0650 (0.0752) loss_seg: 0.0646 (0.0748) loss_lansim: 0.0348 (0.0316) loss_contra: 0.0003 (0.0052) time: 2.8707 data: 0.0062 max mem: 31630 Epoch: [19] [4140/5278] eta: 0:51:17 lr: 2.705394186952393e-05 loss: 0.0650 (0.0752) loss_seg: 0.0646 (0.0748) loss_lansim: 0.0344 (0.0316) loss_contra: 0.0003 (0.0052) time: 2.8742 data: 0.0062 max mem: 31630 Epoch: [19] [4150/5278] eta: 0:50:50 lr: 2.7051659831435898e-05 loss: 0.0640 (0.0752) loss_seg: 0.0637 (0.0748) loss_lansim: 0.0339 (0.0316) loss_contra: 0.0004 (0.0052) time: 2.8765 data: 0.0062 max mem: 31630 Epoch: [19] [4160/5278] eta: 0:50:24 lr: 2.704937777195774e-05 loss: 0.0645 (0.0752) loss_seg: 0.0642 (0.0748) loss_lansim: 0.0344 (0.0316) loss_contra: 0.0005 (0.0052) time: 2.8750 data: 0.0062 max mem: 31630 Epoch: [19] [4170/5278] eta: 0:49:57 lr: 2.7047095691087243e-05 loss: 0.0663 (0.0752) loss_seg: 0.0660 (0.0748) loss_lansim: 0.0343 (0.0316) loss_contra: 0.0005 (0.0052) time: 2.8750 data: 0.0062 max mem: 31630 Epoch: [19] [4180/5278] eta: 0:49:31 lr: 2.7044813588822205e-05 loss: 0.0686 (0.0752) loss_seg: 0.0683 (0.0748) loss_lansim: 0.0343 (0.0316) loss_contra: 0.0006 (0.0052) time: 2.8770 data: 0.0061 max mem: 31630 Epoch: [19] [4190/5278] eta: 0:49:04 lr: 2.704253146516042e-05 loss: 0.0669 (0.0752) loss_seg: 0.0666 (0.0748) loss_lansim: 0.0329 (0.0316) loss_contra: 0.0007 (0.0052) time: 2.8799 data: 0.0061 max mem: 31630 Epoch: [19] [4200/5278] eta: 0:48:37 lr: 2.704024932009968e-05 loss: 0.0672 (0.0752) loss_seg: 0.0667 (0.0748) loss_lansim: 0.0325 (0.0316) loss_contra: 0.0007 (0.0052) time: 2.8799 data: 0.0061 max mem: 31630 Epoch: [19] [4210/5278] eta: 0:48:11 lr: 2.703796715363777e-05 loss: 0.0698 (0.0752) loss_seg: 0.0694 (0.0748) loss_lansim: 0.0322 (0.0316) loss_contra: 0.0007 (0.0052) time: 2.8775 data: 0.0061 max mem: 31630 Epoch: [19] [4220/5278] eta: 0:47:44 lr: 2.70356849657725e-05 loss: 0.0698 (0.0752) loss_seg: 0.0694 (0.0748) loss_lansim: 0.0322 (0.0316) loss_contra: 0.0007 (0.0051) time: 2.8762 data: 0.0060 max mem: 31630 Epoch: [19] [4230/5278] eta: 0:47:17 lr: 2.7033402756501646e-05 loss: 0.0672 (0.0752) loss_seg: 0.0667 (0.0748) loss_lansim: 0.0321 (0.0316) loss_contra: 0.0007 (0.0051) time: 2.8777 data: 0.0060 max mem: 31630 Epoch: [19] [4240/5278] eta: 0:46:51 lr: 2.7031120525823004e-05 loss: 0.0672 (0.0752) loss_seg: 0.0668 (0.0749) loss_lansim: 0.0321 (0.0316) loss_contra: 0.0006 (0.0051) time: 2.8716 data: 0.0061 max mem: 31630 Epoch: [19] [4250/5278] eta: 0:46:24 lr: 2.7028838273734376e-05 loss: 0.0670 (0.0752) loss_seg: 0.0667 (0.0748) loss_lansim: 0.0321 (0.0316) loss_contra: 0.0005 (0.0052) time: 2.8730 data: 0.0061 max mem: 31630 Epoch: [19] [4260/5278] eta: 0:45:57 lr: 2.7026556000233526e-05 loss: 0.0655 (0.0752) loss_seg: 0.0642 (0.0748) loss_lansim: 0.0319 (0.0316) loss_contra: 0.0005 (0.0052) time: 2.8738 data: 0.0061 max mem: 31630 Epoch: [19] [4270/5278] eta: 0:45:31 lr: 2.702427370531827e-05 loss: 0.0655 (0.0752) loss_seg: 0.0642 (0.0748) loss_lansim: 0.0319 (0.0316) loss_contra: 0.0005 (0.0052) time: 2.8716 data: 0.0061 max mem: 31630 Epoch: [19] [4280/5278] eta: 0:45:04 lr: 2.7021991388986385e-05 loss: 0.0635 (0.0752) loss_seg: 0.0632 (0.0748) loss_lansim: 0.0319 (0.0316) loss_contra: 0.0004 (0.0052) time: 2.8748 data: 0.0061 max mem: 31630 Epoch: [19] [4290/5278] eta: 0:44:37 lr: 2.7019709051235664e-05 loss: 0.0633 (0.0752) loss_seg: 0.0629 (0.0748) loss_lansim: 0.0324 (0.0316) loss_contra: 0.0003 (0.0052) time: 2.8713 data: 0.0061 max mem: 31630 Epoch: [19] [4300/5278] eta: 0:44:11 lr: 2.7017426692063896e-05 loss: 0.0627 (0.0752) loss_seg: 0.0624 (0.0748) loss_lansim: 0.0329 (0.0316) loss_contra: 0.0003 (0.0052) time: 2.8717 data: 0.0061 max mem: 31630 Epoch: [19] [4310/5278] eta: 0:43:44 lr: 2.7015144311468863e-05 loss: 0.0627 (0.0752) loss_seg: 0.0624 (0.0748) loss_lansim: 0.0330 (0.0317) loss_contra: 0.0003 (0.0052) time: 2.8751 data: 0.0060 max mem: 31630 Epoch: [19] [4320/5278] eta: 0:43:17 lr: 2.7012861909448362e-05 loss: 0.0627 (0.0752) loss_seg: 0.0624 (0.0748) loss_lansim: 0.0336 (0.0317) loss_contra: 0.0004 (0.0052) time: 2.8747 data: 0.0061 max mem: 31630 Epoch: [19] [4330/5278] eta: 0:42:50 lr: 2.7010579486000178e-05 loss: 0.0655 (0.0752) loss_seg: 0.0636 (0.0748) loss_lansim: 0.0337 (0.0317) loss_contra: 0.0005 (0.0051) time: 2.8774 data: 0.0061 max mem: 31630 Epoch: [19] [4340/5278] eta: 0:42:24 lr: 2.7008297041122083e-05 loss: 0.0655 (0.0752) loss_seg: 0.0636 (0.0748) loss_lansim: 0.0340 (0.0317) loss_contra: 0.0005 (0.0052) time: 2.8790 data: 0.0060 max mem: 31630 Epoch: [19] [4350/5278] eta: 0:41:57 lr: 2.700601457481189e-05 loss: 0.0677 (0.0752) loss_seg: 0.0674 (0.0749) loss_lansim: 0.0341 (0.0317) loss_contra: 0.0005 (0.0052) time: 2.8785 data: 0.0060 max mem: 31630 Epoch: [19] [4360/5278] eta: 0:41:30 lr: 2.700373208706736e-05 loss: 0.0713 (0.0752) loss_seg: 0.0709 (0.0749) loss_lansim: 0.0344 (0.0317) loss_contra: 0.0005 (0.0051) time: 2.8814 data: 0.0060 max mem: 31630 Epoch: [19] [4370/5278] eta: 0:41:03 lr: 2.7001449577886296e-05 loss: 0.0713 (0.0752) loss_seg: 0.0709 (0.0749) loss_lansim: 0.0344 (0.0317) loss_contra: 0.0006 (0.0051) time: 2.8776 data: 0.0060 max mem: 31630 Epoch: [19] [4380/5278] eta: 0:40:36 lr: 2.6999167047266482e-05 loss: 0.0713 (0.0752) loss_seg: 0.0709 (0.0749) loss_lansim: 0.0344 (0.0317) loss_contra: 0.0006 (0.0051) time: 2.8731 data: 0.0060 max mem: 31630 Epoch: [19] [4390/5278] eta: 0:40:10 lr: 2.6996884495205692e-05 loss: 0.0713 (0.0753) loss_seg: 0.0709 (0.0749) loss_lansim: 0.0344 (0.0317) loss_contra: 0.0009 (0.0051) time: 2.8736 data: 0.0060 max mem: 31630 Epoch: [19] [4400/5278] eta: 0:39:43 lr: 2.6994601921701717e-05 loss: 0.0713 (0.0752) loss_seg: 0.0709 (0.0749) loss_lansim: 0.0344 (0.0317) loss_contra: 0.0010 (0.0051) time: 2.8710 data: 0.0059 max mem: 31630 Epoch: [19] [4410/5278] eta: 0:39:16 lr: 2.6992319326752346e-05 loss: 0.0709 (0.0752) loss_seg: 0.0704 (0.0748) loss_lansim: 0.0344 (0.0317) loss_contra: 0.0010 (0.0051) time: 2.8721 data: 0.0060 max mem: 31630 Epoch: [19] [4420/5278] eta: 0:38:49 lr: 2.6990036710355344e-05 loss: 0.0709 (0.0752) loss_seg: 0.0704 (0.0748) loss_lansim: 0.0346 (0.0317) loss_contra: 0.0010 (0.0051) time: 2.8696 data: 0.0060 max mem: 31630 Epoch: [19] [4430/5278] eta: 0:38:22 lr: 2.698775407250852e-05 loss: 0.0709 (0.0753) loss_seg: 0.0704 (0.0749) loss_lansim: 0.0346 (0.0318) loss_contra: 0.0010 (0.0051) time: 2.8684 data: 0.0060 max mem: 31630 Epoch: [19] [4440/5278] eta: 0:37:55 lr: 2.6985471413209633e-05 loss: 0.0697 (0.0753) loss_seg: 0.0693 (0.0749) loss_lansim: 0.0341 (0.0318) loss_contra: 0.0010 (0.0051) time: 2.8653 data: 0.0060 max mem: 31630 Epoch: [19] [4450/5278] eta: 0:37:28 lr: 2.698318873245648e-05 loss: 0.0681 (0.0753) loss_seg: 0.0677 (0.0749) loss_lansim: 0.0341 (0.0318) loss_contra: 0.0009 (0.0051) time: 2.8638 data: 0.0060 max mem: 31630 Epoch: [19] [4460/5278] eta: 0:37:02 lr: 2.6980906030246843e-05 loss: 0.0680 (0.0753) loss_seg: 0.0677 (0.0749) loss_lansim: 0.0341 (0.0318) loss_contra: 0.0011 (0.0051) time: 2.8649 data: 0.0060 max mem: 31630 Epoch: [19] [4470/5278] eta: 0:36:35 lr: 2.697862330657849e-05 loss: 0.0680 (0.0753) loss_seg: 0.0677 (0.0749) loss_lansim: 0.0340 (0.0318) loss_contra: 0.0009 (0.0051) time: 2.8661 data: 0.0061 max mem: 31630 Epoch: [19] [4480/5278] eta: 0:36:08 lr: 2.6976340561449213e-05 loss: 0.0712 (0.0753) loss_seg: 0.0707 (0.0749) loss_lansim: 0.0342 (0.0318) loss_contra: 0.0009 (0.0051) time: 2.8698 data: 0.0061 max mem: 31630 Epoch: [19] [4490/5278] eta: 0:35:41 lr: 2.6974057794856787e-05 loss: 0.0680 (0.0753) loss_seg: 0.0677 (0.0749) loss_lansim: 0.0343 (0.0318) loss_contra: 0.0008 (0.0051) time: 2.8675 data: 0.0061 max mem: 31630 Epoch: [19] [4500/5278] eta: 0:35:14 lr: 2.6971775006798998e-05 loss: 0.0700 (0.0753) loss_seg: 0.0697 (0.0750) loss_lansim: 0.0340 (0.0318) loss_contra: 0.0007 (0.0051) time: 2.8725 data: 0.0061 max mem: 31630 Epoch: [19] [4510/5278] eta: 0:34:47 lr: 2.6969492197273626e-05 loss: 0.0700 (0.0753) loss_seg: 0.0697 (0.0749) loss_lansim: 0.0340 (0.0318) loss_contra: 0.0006 (0.0051) time: 2.8688 data: 0.0061 max mem: 31630 Epoch: [19] [4520/5278] eta: 0:34:20 lr: 2.696720936627844e-05 loss: 0.0700 (0.0753) loss_seg: 0.0697 (0.0749) loss_lansim: 0.0340 (0.0318) loss_contra: 0.0006 (0.0051) time: 2.8733 data: 0.0062 max mem: 31630 Epoch: [19] [4530/5278] eta: 0:33:53 lr: 2.6964926513811227e-05 loss: 0.0691 (0.0753) loss_seg: 0.0688 (0.0749) loss_lansim: 0.0340 (0.0318) loss_contra: 0.0005 (0.0051) time: 2.8714 data: 0.0062 max mem: 31630 Epoch: [19] [4540/5278] eta: 0:33:26 lr: 2.6962643639869765e-05 loss: 0.0688 (0.0753) loss_seg: 0.0683 (0.0749) loss_lansim: 0.0348 (0.0319) loss_contra: 0.0006 (0.0051) time: 2.8750 data: 0.0061 max mem: 31630 Epoch: [19] [4550/5278] eta: 0:32:59 lr: 2.6960360744451824e-05 loss: 0.0691 (0.0753) loss_seg: 0.0687 (0.0749) loss_lansim: 0.0358 (0.0319) loss_contra: 0.0006 (0.0051) time: 2.8749 data: 0.0061 max mem: 31630 Epoch: [19] [4560/5278] eta: 0:32:32 lr: 2.695807782755519e-05 loss: 0.0691 (0.0753) loss_seg: 0.0687 (0.0749) loss_lansim: 0.0366 (0.0319) loss_contra: 0.0004 (0.0050) time: 2.8715 data: 0.0062 max mem: 31630 Epoch: [19] [4570/5278] eta: 0:32:05 lr: 2.6955794889177638e-05 loss: 0.0673 (0.0753) loss_seg: 0.0668 (0.0749) loss_lansim: 0.0385 (0.0319) loss_contra: 0.0004 (0.0050) time: 2.8771 data: 0.0062 max mem: 31630 Epoch: [19] [4580/5278] eta: 0:31:38 lr: 2.695351192931694e-05 loss: 0.0663 (0.0753) loss_seg: 0.0660 (0.0749) loss_lansim: 0.0395 (0.0320) loss_contra: 0.0004 (0.0050) time: 2.8755 data: 0.0062 max mem: 31630 Epoch: [19] [4590/5278] eta: 0:31:12 lr: 2.695122894797088e-05 loss: 0.0666 (0.0753) loss_seg: 0.0662 (0.0749) loss_lansim: 0.0399 (0.0320) loss_contra: 0.0004 (0.0050) time: 2.8798 data: 0.0062 max mem: 31630 Epoch: [19] [4600/5278] eta: 0:30:45 lr: 2.6948945945137227e-05 loss: 0.0666 (0.0753) loss_seg: 0.0662 (0.0749) loss_lansim: 0.0412 (0.0320) loss_contra: 0.0004 (0.0050) time: 2.8760 data: 0.0063 max mem: 31630 Epoch: [19] [4610/5278] eta: 0:30:18 lr: 2.694666292081376e-05 loss: 0.0688 (0.0753) loss_seg: 0.0684 (0.0750) loss_lansim: 0.0414 (0.0320) loss_contra: 0.0004 (0.0050) time: 2.8782 data: 0.0063 max mem: 31630 Epoch: [19] [4620/5278] eta: 0:29:51 lr: 2.694437987499825e-05 loss: 0.0688 (0.0753) loss_seg: 0.0684 (0.0749) loss_lansim: 0.0420 (0.0321) loss_contra: 0.0005 (0.0050) time: 2.8780 data: 0.0062 max mem: 31630 Epoch: [19] [4630/5278] eta: 0:29:23 lr: 2.6942096807688467e-05 loss: 0.0687 (0.0753) loss_seg: 0.0684 (0.0750) loss_lansim: 0.0420 (0.0321) loss_contra: 0.0005 (0.0050) time: 2.8758 data: 0.0062 max mem: 31630 Epoch: [19] [4640/5278] eta: 0:28:56 lr: 2.69398137188822e-05 loss: 0.0690 (0.0754) loss_seg: 0.0686 (0.0750) loss_lansim: 0.0426 (0.0321) loss_contra: 0.0005 (0.0050) time: 2.8776 data: 0.0063 max mem: 31630 Epoch: [19] [4650/5278] eta: 0:28:29 lr: 2.6937530608577204e-05 loss: 0.0705 (0.0754) loss_seg: 0.0701 (0.0750) loss_lansim: 0.0423 (0.0321) loss_contra: 0.0005 (0.0050) time: 2.8762 data: 0.0063 max mem: 31630 Epoch: [19] [4660/5278] eta: 0:28:02 lr: 2.693524747677127e-05 loss: 0.0690 (0.0754) loss_seg: 0.0686 (0.0750) loss_lansim: 0.0425 (0.0322) loss_contra: 0.0006 (0.0050) time: 2.8779 data: 0.0062 max mem: 31630 Epoch: [19] [4670/5278] eta: 0:27:35 lr: 2.6932964323462156e-05 loss: 0.0705 (0.0754) loss_seg: 0.0701 (0.0750) loss_lansim: 0.0426 (0.0322) loss_contra: 0.0006 (0.0050) time: 2.8727 data: 0.0062 max mem: 31630 Epoch: [19] [4680/5278] eta: 0:27:08 lr: 2.693068114864764e-05 loss: 0.0705 (0.0754) loss_seg: 0.0701 (0.0750) loss_lansim: 0.0423 (0.0322) loss_contra: 0.0006 (0.0050) time: 2.8745 data: 0.0062 max mem: 31630 Epoch: [19] [4690/5278] eta: 0:26:41 lr: 2.6928397952325495e-05 loss: 0.0713 (0.0754) loss_seg: 0.0709 (0.0750) loss_lansim: 0.0423 (0.0322) loss_contra: 0.0007 (0.0050) time: 2.8711 data: 0.0062 max mem: 31630 Epoch: [19] [4700/5278] eta: 0:26:14 lr: 2.692611473449349e-05 loss: 0.0687 (0.0754) loss_seg: 0.0681 (0.0750) loss_lansim: 0.0418 (0.0322) loss_contra: 0.0007 (0.0050) time: 2.8714 data: 0.0061 max mem: 31630 Epoch: [19] [4710/5278] eta: 0:25:47 lr: 2.6923831495149392e-05 loss: 0.0678 (0.0754) loss_seg: 0.0674 (0.0750) loss_lansim: 0.0415 (0.0323) loss_contra: 0.0007 (0.0050) time: 2.8735 data: 0.0061 max mem: 31630 Epoch: [19] [4720/5278] eta: 0:25:20 lr: 2.6921548234290985e-05 loss: 0.0687 (0.0754) loss_seg: 0.0681 (0.0750) loss_lansim: 0.0416 (0.0323) loss_contra: 0.0007 (0.0050) time: 2.8696 data: 0.0061 max mem: 31630 Epoch: [19] [4730/5278] eta: 0:24:53 lr: 2.691926495191602e-05 loss: 0.0678 (0.0754) loss_seg: 0.0674 (0.0750) loss_lansim: 0.0416 (0.0323) loss_contra: 0.0006 (0.0050) time: 2.8716 data: 0.0061 max mem: 31630 Epoch: [19] [4740/5278] eta: 0:24:26 lr: 2.6916981648022276e-05 loss: 0.0698 (0.0754) loss_seg: 0.0694 (0.0751) loss_lansim: 0.0414 (0.0323) loss_contra: 0.0006 (0.0050) time: 2.8720 data: 0.0061 max mem: 31630 Epoch: [19] [4750/5278] eta: 0:23:59 lr: 2.6914698322607527e-05 loss: 0.0704 (0.0755) loss_seg: 0.0700 (0.0751) loss_lansim: 0.0408 (0.0323) loss_contra: 0.0006 (0.0050) time: 2.8722 data: 0.0061 max mem: 31630 Epoch: [19] [4760/5278] eta: 0:23:32 lr: 2.6912414975669525e-05 loss: 0.0704 (0.0755) loss_seg: 0.0700 (0.0751) loss_lansim: 0.0408 (0.0324) loss_contra: 0.0006 (0.0050) time: 2.8728 data: 0.0062 max mem: 31630 Epoch: [19] [4770/5278] eta: 0:23:05 lr: 2.691013160720606e-05 loss: 0.0698 (0.0755) loss_seg: 0.0694 (0.0751) loss_lansim: 0.0408 (0.0324) loss_contra: 0.0006 (0.0050) time: 2.8738 data: 0.0062 max mem: 31630 Epoch: [19] [4780/5278] eta: 0:22:38 lr: 2.6907848217214885e-05 loss: 0.0700 (0.0755) loss_seg: 0.0696 (0.0752) loss_lansim: 0.0412 (0.0324) loss_contra: 0.0006 (0.0050) time: 2.8702 data: 0.0062 max mem: 31630 Epoch: [19] [4790/5278] eta: 0:22:10 lr: 2.6905564805693772e-05 loss: 0.0683 (0.0755) loss_seg: 0.0679 (0.0751) loss_lansim: 0.0416 (0.0324) loss_contra: 0.0006 (0.0050) time: 2.8752 data: 0.0062 max mem: 31630 Epoch: [19] [4800/5278] eta: 0:21:43 lr: 2.690328137264049e-05 loss: 0.0683 (0.0755) loss_seg: 0.0679 (0.0751) loss_lansim: 0.0421 (0.0324) loss_contra: 0.0007 (0.0050) time: 2.8759 data: 0.0062 max mem: 31630 Epoch: [19] [4810/5278] eta: 0:21:16 lr: 2.6900997918052795e-05 loss: 0.0678 (0.0755) loss_seg: 0.0675 (0.0751) loss_lansim: 0.0427 (0.0325) loss_contra: 0.0008 (0.0050) time: 2.8750 data: 0.0062 max mem: 31630 Epoch: [19] [4820/5278] eta: 0:20:49 lr: 2.6898714441928458e-05 loss: 0.0683 (0.0755) loss_seg: 0.0679 (0.0751) loss_lansim: 0.0431 (0.0325) loss_contra: 0.0008 (0.0050) time: 2.8782 data: 0.0062 max mem: 31630 Epoch: [19] [4830/5278] eta: 0:20:22 lr: 2.6896430944265256e-05 loss: 0.0683 (0.0755) loss_seg: 0.0679 (0.0751) loss_lansim: 0.0432 (0.0325) loss_contra: 0.0008 (0.0050) time: 2.8789 data: 0.0061 max mem: 31630 Epoch: [19] [4840/5278] eta: 0:19:55 lr: 2.6894147425060932e-05 loss: 0.0664 (0.0755) loss_seg: 0.0660 (0.0751) loss_lansim: 0.0436 (0.0325) loss_contra: 0.0008 (0.0050) time: 2.8771 data: 0.0061 max mem: 31630 Epoch: [19] [4850/5278] eta: 0:19:28 lr: 2.6891863884313274e-05 loss: 0.0637 (0.0755) loss_seg: 0.0632 (0.0751) loss_lansim: 0.0440 (0.0326) loss_contra: 0.0008 (0.0050) time: 2.8780 data: 0.0061 max mem: 31630 Epoch: [19] [4860/5278] eta: 0:19:00 lr: 2.6889580322020032e-05 loss: 0.0660 (0.0755) loss_seg: 0.0656 (0.0751) loss_lansim: 0.0442 (0.0326) loss_contra: 0.0007 (0.0051) time: 2.8793 data: 0.0060 max mem: 31630 Epoch: [19] [4870/5278] eta: 0:18:33 lr: 2.6887296738178963e-05 loss: 0.0660 (0.0755) loss_seg: 0.0656 (0.0752) loss_lansim: 0.0452 (0.0327) loss_contra: 0.0008 (0.0051) time: 2.8777 data: 0.0059 max mem: 31630 Epoch: [19] [4880/5278] eta: 0:18:06 lr: 2.688501313278785e-05 loss: 0.0652 (0.0755) loss_seg: 0.0646 (0.0752) loss_lansim: 0.0458 (0.0327) loss_contra: 0.0007 (0.0051) time: 2.8819 data: 0.0060 max mem: 31630 Epoch: [19] [4890/5278] eta: 0:17:39 lr: 2.6882729505844446e-05 loss: 0.0681 (0.0756) loss_seg: 0.0676 (0.0752) loss_lansim: 0.0470 (0.0327) loss_contra: 0.0007 (0.0051) time: 2.8786 data: 0.0059 max mem: 31630 Epoch: [19] [4900/5278] eta: 0:17:12 lr: 2.6880445857346503e-05 loss: 0.0652 (0.0755) loss_seg: 0.0646 (0.0751) loss_lansim: 0.0477 (0.0328) loss_contra: 0.0006 (0.0051) time: 2.8779 data: 0.0059 max mem: 31630 Epoch: [19] [4910/5278] eta: 0:16:44 lr: 2.6878162187291804e-05 loss: 0.0681 (0.0755) loss_seg: 0.0676 (0.0752) loss_lansim: 0.0480 (0.0328) loss_contra: 0.0006 (0.0051) time: 2.8775 data: 0.0059 max mem: 31630 Epoch: [19] [4920/5278] eta: 0:16:17 lr: 2.6875878495678085e-05 loss: 0.0645 (0.0755) loss_seg: 0.0639 (0.0751) loss_lansim: 0.0489 (0.0329) loss_contra: 0.0006 (0.0051) time: 2.8743 data: 0.0059 max mem: 31630 Epoch: [19] [4930/5278] eta: 0:15:50 lr: 2.687359478250313e-05 loss: 0.0682 (0.0756) loss_seg: 0.0678 (0.0752) loss_lansim: 0.0505 (0.0329) loss_contra: 0.0007 (0.0051) time: 2.8737 data: 0.0060 max mem: 31630 Epoch: [19] [4940/5278] eta: 0:15:23 lr: 2.687131104776469e-05 loss: 0.0699 (0.0756) loss_seg: 0.0694 (0.0752) loss_lansim: 0.0523 (0.0329) loss_contra: 0.0006 (0.0051) time: 2.8717 data: 0.0060 max mem: 31630 Epoch: [19] [4950/5278] eta: 0:14:56 lr: 2.6869027291460524e-05 loss: 0.0709 (0.0756) loss_seg: 0.0704 (0.0753) loss_lansim: 0.0534 (0.0330) loss_contra: 0.0006 (0.0051) time: 2.8746 data: 0.0060 max mem: 31630 Epoch: [19] [4960/5278] eta: 0:14:28 lr: 2.6866743513588398e-05 loss: 0.0703 (0.0756) loss_seg: 0.0698 (0.0752) loss_lansim: 0.0534 (0.0330) loss_contra: 0.0006 (0.0051) time: 2.8712 data: 0.0060 max mem: 31630 Epoch: [19] [4970/5278] eta: 0:14:01 lr: 2.6864459714146056e-05 loss: 0.0702 (0.0756) loss_seg: 0.0697 (0.0752) loss_lansim: 0.0518 (0.0331) loss_contra: 0.0004 (0.0050) time: 2.8745 data: 0.0060 max mem: 31630 Epoch: [19] [4980/5278] eta: 0:13:34 lr: 2.6862175893131282e-05 loss: 0.0706 (0.0756) loss_seg: 0.0701 (0.0753) loss_lansim: 0.0509 (0.0331) loss_contra: 0.0003 (0.0051) time: 2.8697 data: 0.0060 max mem: 31630 Epoch: [19] [4990/5278] eta: 0:13:07 lr: 2.6859892050541807e-05 loss: 0.0706 (0.0756) loss_seg: 0.0701 (0.0753) loss_lansim: 0.0504 (0.0331) loss_contra: 0.0003 (0.0051) time: 2.8723 data: 0.0060 max mem: 31630 Epoch: [19] [5000/5278] eta: 0:12:39 lr: 2.6857608186375404e-05 loss: 0.0732 (0.0756) loss_seg: 0.0728 (0.0753) loss_lansim: 0.0489 (0.0331) loss_contra: 0.0004 (0.0050) time: 2.8738 data: 0.0061 max mem: 31630 Epoch: [19] [5010/5278] eta: 0:12:12 lr: 2.685532430062983e-05 loss: 0.0731 (0.0757) loss_seg: 0.0724 (0.0753) loss_lansim: 0.0481 (0.0331) loss_contra: 0.0003 (0.0050) time: 2.8765 data: 0.0062 max mem: 31630 Epoch: [19] [5020/5278] eta: 0:11:45 lr: 2.685304039330284e-05 loss: 0.0727 (0.0757) loss_seg: 0.0723 (0.0753) loss_lansim: 0.0464 (0.0331) loss_contra: 0.0003 (0.0050) time: 2.8764 data: 0.0062 max mem: 31630 Epoch: [19] [5030/5278] eta: 0:11:18 lr: 2.6850756464392187e-05 loss: 0.0727 (0.0757) loss_seg: 0.0723 (0.0753) loss_lansim: 0.0452 (0.0332) loss_contra: 0.0003 (0.0050) time: 2.8815 data: 0.0062 max mem: 31630 Epoch: [19] [5040/5278] eta: 0:10:50 lr: 2.6848472513895633e-05 loss: 0.0711 (0.0757) loss_seg: 0.0707 (0.0753) loss_lansim: 0.0435 (0.0332) loss_contra: 0.0003 (0.0051) time: 2.8825 data: 0.0062 max mem: 31630 Epoch: [19] [5050/5278] eta: 0:10:23 lr: 2.6846188541810928e-05 loss: 0.0696 (0.0757) loss_seg: 0.0692 (0.0753) loss_lansim: 0.0421 (0.0332) loss_contra: 0.0004 (0.0051) time: 2.8813 data: 0.0063 max mem: 31630 Epoch: [19] [5060/5278] eta: 0:09:56 lr: 2.6843904548135833e-05 loss: 0.0661 (0.0757) loss_seg: 0.0654 (0.0753) loss_lansim: 0.0411 (0.0332) loss_contra: 0.0004 (0.0051) time: 2.8822 data: 0.0063 max mem: 31630 Epoch: [19] [5070/5278] eta: 0:09:28 lr: 2.68416205328681e-05 loss: 0.0667 (0.0757) loss_seg: 0.0663 (0.0753) loss_lansim: 0.0400 (0.0332) loss_contra: 0.0005 (0.0051) time: 2.8790 data: 0.0063 max mem: 31630 Epoch: [19] [5080/5278] eta: 0:09:01 lr: 2.6839336496005486e-05 loss: 0.0650 (0.0756) loss_seg: 0.0634 (0.0753) loss_lansim: 0.0392 (0.0332) loss_contra: 0.0005 (0.0051) time: 2.8831 data: 0.0063 max mem: 31630 Epoch: [19] [5090/5278] eta: 0:08:34 lr: 2.683705243754574e-05 loss: 0.0650 (0.0757) loss_seg: 0.0639 (0.0753) loss_lansim: 0.0386 (0.0332) loss_contra: 0.0006 (0.0051) time: 2.8791 data: 0.0063 max mem: 31630 Epoch: [19] [5100/5278] eta: 0:08:07 lr: 2.683476835748662e-05 loss: 0.0616 (0.0756) loss_seg: 0.0611 (0.0752) loss_lansim: 0.0387 (0.0332) loss_contra: 0.0006 (0.0051) time: 2.8799 data: 0.0063 max mem: 31630 Epoch: [19] [5110/5278] eta: 0:07:39 lr: 2.683248425582587e-05 loss: 0.0617 (0.0756) loss_seg: 0.0612 (0.0752) loss_lansim: 0.0382 (0.0332) loss_contra: 0.0006 (0.0051) time: 2.8743 data: 0.0062 max mem: 31630 Epoch: [19] [5120/5278] eta: 0:07:12 lr: 2.6830200132561252e-05 loss: 0.0643 (0.0756) loss_seg: 0.0634 (0.0752) loss_lansim: 0.0386 (0.0333) loss_contra: 0.0007 (0.0051) time: 2.8807 data: 0.0062 max mem: 31630 Epoch: [19] [5130/5278] eta: 0:06:45 lr: 2.6827915987690512e-05 loss: 0.0616 (0.0756) loss_seg: 0.0611 (0.0752) loss_lansim: 0.0382 (0.0333) loss_contra: 0.0007 (0.0051) time: 2.8753 data: 0.0062 max mem: 31630 Epoch: [19] [5140/5278] eta: 0:06:17 lr: 2.682563182121141e-05 loss: 0.0629 (0.0756) loss_seg: 0.0626 (0.0752) loss_lansim: 0.0382 (0.0333) loss_contra: 0.0007 (0.0052) time: 2.8770 data: 0.0062 max mem: 31630 Epoch: [19] [5150/5278] eta: 0:05:50 lr: 2.6823347633121688e-05 loss: 0.0629 (0.0756) loss_seg: 0.0626 (0.0752) loss_lansim: 0.0385 (0.0333) loss_contra: 0.0007 (0.0052) time: 2.8753 data: 0.0062 max mem: 31630 Epoch: [19] [5160/5278] eta: 0:05:23 lr: 2.68210634234191e-05 loss: 0.0661 (0.0756) loss_seg: 0.0656 (0.0752) loss_lansim: 0.0388 (0.0333) loss_contra: 0.0010 (0.0052) time: 2.8752 data: 0.0062 max mem: 31630 Epoch: [19] [5170/5278] eta: 0:04:55 lr: 2.68187791921014e-05 loss: 0.0650 (0.0756) loss_seg: 0.0639 (0.0752) loss_lansim: 0.0392 (0.0333) loss_contra: 0.0013 (0.0052) time: 2.8771 data: 0.0062 max mem: 31630 Epoch: [19] [5180/5278] eta: 0:04:28 lr: 2.6816494939166337e-05 loss: 0.0674 (0.0756) loss_seg: 0.0669 (0.0752) loss_lansim: 0.0399 (0.0334) loss_contra: 0.0014 (0.0052) time: 2.8750 data: 0.0062 max mem: 31630 Epoch: [19] [5190/5278] eta: 0:04:01 lr: 2.6814210664611655e-05 loss: 0.0674 (0.0756) loss_seg: 0.0669 (0.0752) loss_lansim: 0.0400 (0.0334) loss_contra: 0.0015 (0.0053) time: 2.8786 data: 0.0063 max mem: 31630 Epoch: [19] [5200/5278] eta: 0:03:33 lr: 2.6811926368435108e-05 loss: 0.0690 (0.0756) loss_seg: 0.0685 (0.0752) loss_lansim: 0.0399 (0.0334) loss_contra: 0.0017 (0.0053) time: 2.8773 data: 0.0063 max mem: 31630 Epoch: [19] [5210/5278] eta: 0:03:06 lr: 2.6809642050634437e-05 loss: 0.0707 (0.0757) loss_seg: 0.0701 (0.0753) loss_lansim: 0.0397 (0.0334) loss_contra: 0.0015 (0.0052) time: 2.8851 data: 0.0063 max mem: 31630 Epoch: [19] [5220/5278] eta: 0:02:38 lr: 2.6807357711207405e-05 loss: 0.0691 (0.0756) loss_seg: 0.0687 (0.0752) loss_lansim: 0.0396 (0.0334) loss_contra: 0.0013 (0.0052) time: 2.8838 data: 0.0063 max mem: 31630 Epoch: [19] [5230/5278] eta: 0:02:11 lr: 2.680507335015174e-05 loss: 0.0690 (0.0756) loss_seg: 0.0685 (0.0752) loss_lansim: 0.0397 (0.0334) loss_contra: 0.0011 (0.0052) time: 2.8857 data: 0.0063 max mem: 31630 Epoch: [19] [5240/5278] eta: 0:01:44 lr: 2.6802788967465204e-05 loss: 0.0703 (0.0756) loss_seg: 0.0699 (0.0752) loss_lansim: 0.0394 (0.0334) loss_contra: 0.0010 (0.0052) time: 2.8898 data: 0.0063 max mem: 31630 Epoch: [19] [5250/5278] eta: 0:01:16 lr: 2.6800504563145545e-05 loss: 0.0707 (0.0756) loss_seg: 0.0700 (0.0752) loss_lansim: 0.0392 (0.0334) loss_contra: 0.0009 (0.0052) time: 2.8905 data: 0.0063 max mem: 31630 Epoch: [19] [5260/5278] eta: 0:00:49 lr: 2.679822013719049e-05 loss: 0.0703 (0.0756) loss_seg: 0.0699 (0.0752) loss_lansim: 0.0379 (0.0334) loss_contra: 0.0009 (0.0052) time: 2.8889 data: 0.0063 max mem: 31630 Epoch: [19] [5270/5278] eta: 0:00:21 lr: 2.679593568959781e-05 loss: 0.0702 (0.0756) loss_seg: 0.0698 (0.0752) loss_lansim: 0.0373 (0.0334) loss_contra: 0.0007 (0.0052) time: 2.8901 data: 0.0063 max mem: 31630 Epoch: [19] Total time: 4:01:09 Test: [ 0/2573] eta: 1:10:59 time: 1.6553 data: 1.4970 max mem: 31630 Test: [ 100/2573] eta: 0:06:31 time: 0.1432 data: 0.0015 max mem: 31630 Test: [ 200/2573] eta: 0:06:06 time: 0.1503 data: 0.0017 max mem: 31630 Test: [ 300/2573] eta: 0:05:42 time: 0.1429 data: 0.0016 max mem: 31630 Test: [ 400/2573] eta: 0:05:24 time: 0.1457 data: 0.0016 max mem: 31630 Test: [ 500/2573] eta: 0:05:08 time: 0.1466 data: 0.0016 max mem: 31630 Test: [ 600/2573] eta: 0:04:53 time: 0.1493 data: 0.0016 max mem: 31630 Test: [ 700/2573] eta: 0:04:39 time: 0.1527 data: 0.0016 max mem: 31630 Test: [ 800/2573] eta: 0:04:25 time: 0.1500 data: 0.0017 max mem: 31630 Test: [ 900/2573] eta: 0:04:10 time: 0.1492 data: 0.0016 max mem: 31630 Test: [1000/2573] eta: 0:03:54 time: 0.1477 data: 0.0016 max mem: 31630 Test: [1100/2573] eta: 0:03:39 time: 0.1462 data: 0.0016 max mem: 31630 Test: [1200/2573] eta: 0:03:24 time: 0.1500 data: 0.0016 max mem: 31630 Test: [1300/2573] eta: 0:03:09 time: 0.1477 data: 0.0016 max mem: 31630 Test: [1400/2573] eta: 0:02:54 time: 0.1444 data: 0.0016 max mem: 31630 Test: [1500/2573] eta: 0:02:39 time: 0.1489 data: 0.0016 max mem: 31630 Test: [1600/2573] eta: 0:02:24 time: 0.1482 data: 0.0016 max mem: 31630 Test: [1700/2573] eta: 0:02:09 time: 0.1492 data: 0.0016 max mem: 31630 Test: [1800/2573] eta: 0:01:54 time: 0.1460 data: 0.0016 max mem: 31630 Test: [1900/2573] eta: 0:01:39 time: 0.1447 data: 0.0016 max mem: 31630 Test: [2000/2573] eta: 0:01:24 time: 0.1452 data: 0.0016 max mem: 31630 Test: [2100/2573] eta: 0:01:10 time: 0.1492 data: 0.0016 max mem: 31630 Test: [2200/2573] eta: 0:00:55 time: 0.1443 data: 0.0016 max mem: 31630 Test: [2300/2573] eta: 0:00:40 time: 0.1496 data: 0.0016 max mem: 31630 Test: [2400/2573] eta: 0:00:25 time: 0.1465 data: 0.0016 max mem: 31630 Test: [2500/2573] eta: 0:00:10 time: 0.1496 data: 0.0016 max mem: 31630 Test: Total time: 0:06:21 Final results: precision@0.5 = 66.01 precision@0.6 = 60.74 precision@0.7 = 54.37 precision@0.8 = 41.91 precision@0.9 = 19.79 overall IoU = 56.97 mean IoU = 58.50 Epoch: [20] [ 0/5278] eta: 7:07:11 lr: 2.6794108115943052e-05 loss: 0.0433 (0.0433) loss_seg: 0.0429 (0.0429) loss_lansim: 0.0420 (0.0420) loss_contra: 0.0002 (0.0002) time: 4.8562 data: 1.7440 max mem: 31630 Epoch: [20] [ 10/5278] eta: 4:29:59 lr: 2.6791823629396938e-05 loss: 0.0565 (0.0625) loss_seg: 0.0561 (0.0621) loss_lansim: 0.0382 (0.0378) loss_contra: 0.0002 (0.0009) time: 3.0751 data: 0.1631 max mem: 31630 Epoch: [20] [ 20/5278] eta: 4:21:12 lr: 2.6789539121206876e-05 loss: 0.0565 (0.0640) loss_seg: 0.0561 (0.0636) loss_lansim: 0.0377 (0.0374) loss_contra: 0.0002 (0.0007) time: 2.9807 data: 0.0883 max mem: 31630 Epoch: [20] [ 30/5278] eta: 4:19:28 lr: 2.6787254591370602e-05 loss: 0.0548 (0.0659) loss_seg: 0.0544 (0.0655) loss_lansim: 0.0370 (0.0375) loss_contra: 0.0002 (0.0008) time: 2.9666 data: 0.0619 max mem: 31630 Epoch: [20] [ 40/5278] eta: 4:17:00 lr: 2.6784970039885877e-05 loss: 0.0566 (0.0658) loss_seg: 0.0562 (0.0654) loss_lansim: 0.0370 (0.0374) loss_contra: 0.0003 (0.0011) time: 2.9440 data: 0.0482 max mem: 31630 Epoch: [20] [ 50/5278] eta: 4:15:43 lr: 2.6782685466750417e-05 loss: 0.0574 (0.0672) loss_seg: 0.0569 (0.0668) loss_lansim: 0.0372 (0.0379) loss_contra: 0.0005 (0.0021) time: 2.9348 data: 0.0399 max mem: 31630 Epoch: [20] [ 60/5278] eta: 4:15:06 lr: 2.6780400871961993e-05 loss: 0.0577 (0.0674) loss_seg: 0.0573 (0.0670) loss_lansim: 0.0370 (0.0377) loss_contra: 0.0005 (0.0019) time: 2.9335 data: 0.0345 max mem: 31630 Epoch: [20] [ 70/5278] eta: 4:14:04 lr: 2.677811625551832e-05 loss: 0.0577 (0.0674) loss_seg: 0.0572 (0.0669) loss_lansim: 0.0372 (0.0386) loss_contra: 0.0003 (0.0020) time: 2.9272 data: 0.0305 max mem: 31630 Epoch: [20] [ 80/5278] eta: 4:13:28 lr: 2.677583161741717e-05 loss: 0.0577 (0.0670) loss_seg: 0.0572 (0.0666) loss_lansim: 0.0372 (0.0383) loss_contra: 0.0003 (0.0018) time: 2.9258 data: 0.0276 max mem: 31630 Epoch: [20] [ 90/5278] eta: 4:12:31 lr: 2.677354695765626e-05 loss: 0.0577 (0.0664) loss_seg: 0.0573 (0.0660) loss_lansim: 0.0372 (0.0383) loss_contra: 0.0004 (0.0019) time: 2.9205 data: 0.0252 max mem: 31630 Epoch: [20] [ 100/5278] eta: 4:11:44 lr: 2.677126227623334e-05 loss: 0.0577 (0.0665) loss_seg: 0.0573 (0.0661) loss_lansim: 0.0370 (0.0381) loss_contra: 0.0003 (0.0017) time: 2.8976 data: 0.0061 max mem: 31630 Epoch: [20] [ 110/5278] eta: 4:11:06 lr: 2.676897757314615e-05 loss: 0.0577 (0.0656) loss_seg: 0.0572 (0.0652) loss_lansim: 0.0368 (0.0379) loss_contra: 0.0003 (0.0018) time: 2.8978 data: 0.0063 max mem: 31630 Epoch: [20] [ 120/5278] eta: 4:10:22 lr: 2.6766692848392432e-05 loss: 0.0580 (0.0667) loss_seg: 0.0577 (0.0663) loss_lansim: 0.0370 (0.0379) loss_contra: 0.0003 (0.0018) time: 2.8982 data: 0.0063 max mem: 31630 Epoch: [20] [ 130/5278] eta: 4:09:53 lr: 2.676440810196992e-05 loss: 0.0590 (0.0669) loss_seg: 0.0586 (0.0665) loss_lansim: 0.0371 (0.0379) loss_contra: 0.0003 (0.0020) time: 2.8958 data: 0.0063 max mem: 31630 Epoch: [20] [ 140/5278] eta: 4:09:10 lr: 2.676212333387636e-05 loss: 0.0592 (0.0678) loss_seg: 0.0588 (0.0674) loss_lansim: 0.0370 (0.0377) loss_contra: 0.0003 (0.0019) time: 2.8957 data: 0.0063 max mem: 31630 Epoch: [20] [ 150/5278] eta: 4:08:39 lr: 2.6759838544109484e-05 loss: 0.0598 (0.0689) loss_seg: 0.0595 (0.0685) loss_lansim: 0.0370 (0.0377) loss_contra: 0.0003 (0.0018) time: 2.8964 data: 0.0063 max mem: 31630 Epoch: [20] [ 160/5278] eta: 4:07:54 lr: 2.675755373266704e-05 loss: 0.0610 (0.0687) loss_seg: 0.0606 (0.0683) loss_lansim: 0.0370 (0.0377) loss_contra: 0.0003 (0.0017) time: 2.8896 data: 0.0063 max mem: 31630 Epoch: [20] [ 170/5278] eta: 4:07:27 lr: 2.6755268899546754e-05 loss: 0.0612 (0.0693) loss_seg: 0.0608 (0.0689) loss_lansim: 0.0365 (0.0378) loss_contra: 0.0003 (0.0016) time: 2.8923 data: 0.0063 max mem: 31630 Epoch: [20] [ 180/5278] eta: 4:06:56 lr: 2.6752984044746364e-05 loss: 0.0610 (0.0689) loss_seg: 0.0606 (0.0685) loss_lansim: 0.0367 (0.0377) loss_contra: 0.0003 (0.0017) time: 2.8905 data: 0.0063 max mem: 31630 Epoch: [20] [ 190/5278] eta: 4:06:21 lr: 2.6750699168263622e-05 loss: 0.0612 (0.0685) loss_seg: 0.0608 (0.0682) loss_lansim: 0.0367 (0.0377) loss_contra: 0.0003 (0.0016) time: 2.8911 data: 0.0062 max mem: 31630 Epoch: [20] [ 200/5278] eta: 4:05:54 lr: 2.674841427009625e-05 loss: 0.0615 (0.0690) loss_seg: 0.0610 (0.0686) loss_lansim: 0.0360 (0.0375) loss_contra: 0.0003 (0.0017) time: 2.8939 data: 0.0062 max mem: 31630 Epoch: [20] [ 210/5278] eta: 4:05:10 lr: 2.674612935024199e-05 loss: 0.0629 (0.0691) loss_seg: 0.0625 (0.0687) loss_lansim: 0.0359 (0.0374) loss_contra: 0.0003 (0.0017) time: 2.8885 data: 0.0061 max mem: 31630 Epoch: [20] [ 220/5278] eta: 4:04:44 lr: 2.674384440869857e-05 loss: 0.0598 (0.0683) loss_seg: 0.0595 (0.0679) loss_lansim: 0.0359 (0.0374) loss_contra: 0.0003 (0.0016) time: 2.8920 data: 0.0062 max mem: 31630 Epoch: [20] [ 230/5278] eta: 4:04:07 lr: 2.6741559445463737e-05 loss: 0.0596 (0.0680) loss_seg: 0.0592 (0.0676) loss_lansim: 0.0359 (0.0373) loss_contra: 0.0003 (0.0016) time: 2.8874 data: 0.0061 max mem: 31630 Epoch: [20] [ 240/5278] eta: 4:03:39 lr: 2.6739274460535217e-05 loss: 0.0596 (0.0679) loss_seg: 0.0592 (0.0675) loss_lansim: 0.0360 (0.0373) loss_contra: 0.0003 (0.0015) time: 2.8907 data: 0.0061 max mem: 31630 Epoch: [20] [ 250/5278] eta: 4:03:12 lr: 2.6736989453910748e-05 loss: 0.0596 (0.0682) loss_seg: 0.0592 (0.0678) loss_lansim: 0.0359 (0.0373) loss_contra: 0.0003 (0.0015) time: 2.8914 data: 0.0061 max mem: 31630 Epoch: [20] [ 260/5278] eta: 4:02:38 lr: 2.6734704425588063e-05 loss: 0.0587 (0.0677) loss_seg: 0.0583 (0.0673) loss_lansim: 0.0359 (0.0372) loss_contra: 0.0003 (0.0026) time: 2.8933 data: 0.0061 max mem: 31630 Epoch: [20] [ 270/5278] eta: 4:02:10 lr: 2.6732419375564892e-05 loss: 0.0586 (0.0674) loss_seg: 0.0583 (0.0670) loss_lansim: 0.0357 (0.0371) loss_contra: 0.0003 (0.0025) time: 2.8924 data: 0.0061 max mem: 31630 Epoch: [20] [ 280/5278] eta: 4:01:37 lr: 2.673013430383897e-05 loss: 0.0586 (0.0672) loss_seg: 0.0583 (0.0668) loss_lansim: 0.0357 (0.0371) loss_contra: 0.0003 (0.0025) time: 2.8904 data: 0.0061 max mem: 31630 Epoch: [20] [ 290/5278] eta: 4:01:07 lr: 2.6727849210408042e-05 loss: 0.0588 (0.0680) loss_seg: 0.0583 (0.0676) loss_lansim: 0.0358 (0.0371) loss_contra: 0.0003 (0.0025) time: 2.8915 data: 0.0061 max mem: 31630 Epoch: [20] [ 300/5278] eta: 4:00:36 lr: 2.6725564095269816e-05 loss: 0.0588 (0.0681) loss_seg: 0.0583 (0.0677) loss_lansim: 0.0360 (0.0371) loss_contra: 0.0003 (0.0027) time: 2.8889 data: 0.0062 max mem: 31630 Epoch: [20] [ 310/5278] eta: 4:00:03 lr: 2.6723278958422037e-05 loss: 0.0587 (0.0680) loss_seg: 0.0583 (0.0676) loss_lansim: 0.0360 (0.0370) loss_contra: 0.0004 (0.0027) time: 2.8921 data: 0.0062 max mem: 31630 Epoch: [20] [ 320/5278] eta: 3:59:36 lr: 2.6720993799862433e-05 loss: 0.0622 (0.0681) loss_seg: 0.0619 (0.0677) loss_lansim: 0.0362 (0.0371) loss_contra: 0.0004 (0.0027) time: 2.8915 data: 0.0061 max mem: 31630 Epoch: [20] [ 330/5278] eta: 3:59:03 lr: 2.6718708619588745e-05 loss: 0.0643 (0.0682) loss_seg: 0.0639 (0.0678) loss_lansim: 0.0365 (0.0372) loss_contra: 0.0006 (0.0027) time: 2.8926 data: 0.0062 max mem: 31630 Epoch: [20] [ 340/5278] eta: 3:58:35 lr: 2.6716423417598685e-05 loss: 0.0642 (0.0680) loss_seg: 0.0637 (0.0676) loss_lansim: 0.0366 (0.0373) loss_contra: 0.0006 (0.0027) time: 2.8925 data: 0.0062 max mem: 31630 Epoch: [20] [ 350/5278] eta: 3:58:03 lr: 2.671413819388999e-05 loss: 0.0635 (0.0680) loss_seg: 0.0631 (0.0676) loss_lansim: 0.0369 (0.0373) loss_contra: 0.0006 (0.0027) time: 2.8890 data: 0.0062 max mem: 31630 Epoch: [20] [ 360/5278] eta: 3:57:36 lr: 2.67118529484604e-05 loss: 0.0644 (0.0678) loss_seg: 0.0640 (0.0674) loss_lansim: 0.0371 (0.0374) loss_contra: 0.0004 (0.0029) time: 2.8928 data: 0.0061 max mem: 31630 Epoch: [20] [ 370/5278] eta: 3:57:03 lr: 2.6709567681307633e-05 loss: 0.0652 (0.0681) loss_seg: 0.0648 (0.0677) loss_lansim: 0.0380 (0.0375) loss_contra: 0.0004 (0.0028) time: 2.8885 data: 0.0061 max mem: 31630 Epoch: [20] [ 380/5278] eta: 3:56:32 lr: 2.6707282392429417e-05 loss: 0.0660 (0.0681) loss_seg: 0.0653 (0.0677) loss_lansim: 0.0382 (0.0375) loss_contra: 0.0004 (0.0028) time: 2.8889 data: 0.0061 max mem: 31630 Epoch: [20] [ 390/5278] eta: 3:56:00 lr: 2.6704997081823485e-05 loss: 0.0652 (0.0679) loss_seg: 0.0648 (0.0675) loss_lansim: 0.0387 (0.0376) loss_contra: 0.0004 (0.0028) time: 2.8870 data: 0.0060 max mem: 31630 Epoch: [20] [ 400/5278] eta: 3:55:27 lr: 2.6702711749487557e-05 loss: 0.0652 (0.0679) loss_seg: 0.0648 (0.0675) loss_lansim: 0.0390 (0.0377) loss_contra: 0.0003 (0.0028) time: 2.8846 data: 0.0060 max mem: 31630 Epoch: [20] [ 410/5278] eta: 3:55:01 lr: 2.670042639541937e-05 loss: 0.0657 (0.0679) loss_seg: 0.0652 (0.0675) loss_lansim: 0.0390 (0.0377) loss_contra: 0.0003 (0.0028) time: 2.8893 data: 0.0059 max mem: 31630 Epoch: [20] [ 420/5278] eta: 3:54:33 lr: 2.669814101961664e-05 loss: 0.0652 (0.0680) loss_seg: 0.0648 (0.0676) loss_lansim: 0.0391 (0.0379) loss_contra: 0.0003 (0.0027) time: 2.8886 data: 0.0060 max mem: 31630 Epoch: [20] [ 430/5278] eta: 3:54:03 lr: 2.6695855622077097e-05 loss: 0.0646 (0.0680) loss_seg: 0.0642 (0.0676) loss_lansim: 0.0395 (0.0379) loss_contra: 0.0003 (0.0027) time: 2.8899 data: 0.0059 max mem: 31630 Epoch: [20] [ 440/5278] eta: 3:53:34 lr: 2.6693570202798467e-05 loss: 0.0646 (0.0682) loss_seg: 0.0642 (0.0678) loss_lansim: 0.0402 (0.0381) loss_contra: 0.0003 (0.0028) time: 2.8889 data: 0.0059 max mem: 31630 Epoch: [20] [ 450/5278] eta: 3:53:05 lr: 2.6691284761778484e-05 loss: 0.0631 (0.0680) loss_seg: 0.0627 (0.0676) loss_lansim: 0.0406 (0.0382) loss_contra: 0.0004 (0.0027) time: 2.8904 data: 0.0059 max mem: 31630 Epoch: [20] [ 460/5278] eta: 3:52:35 lr: 2.668899929901486e-05 loss: 0.0621 (0.0678) loss_seg: 0.0616 (0.0674) loss_lansim: 0.0412 (0.0382) loss_contra: 0.0004 (0.0028) time: 2.8876 data: 0.0059 max mem: 31630 Epoch: [20] [ 470/5278] eta: 3:52:04 lr: 2.6686713814505322e-05 loss: 0.0624 (0.0677) loss_seg: 0.0620 (0.0673) loss_lansim: 0.0411 (0.0383) loss_contra: 0.0005 (0.0028) time: 2.8888 data: 0.0059 max mem: 31630 Epoch: [20] [ 480/5278] eta: 3:51:32 lr: 2.6684428308247593e-05 loss: 0.0630 (0.0680) loss_seg: 0.0624 (0.0676) loss_lansim: 0.0416 (0.0384) loss_contra: 0.0005 (0.0028) time: 2.8874 data: 0.0060 max mem: 31630 Epoch: [20] [ 490/5278] eta: 3:51:04 lr: 2.6682142780239407e-05 loss: 0.0630 (0.0678) loss_seg: 0.0624 (0.0674) loss_lansim: 0.0416 (0.0385) loss_contra: 0.0005 (0.0028) time: 2.8909 data: 0.0060 max mem: 31630 Epoch: [20] [ 500/5278] eta: 3:50:31 lr: 2.6679857230478472e-05 loss: 0.0621 (0.0677) loss_seg: 0.0616 (0.0672) loss_lansim: 0.0419 (0.0386) loss_contra: 0.0005 (0.0028) time: 2.8895 data: 0.0060 max mem: 31630 Epoch: [20] [ 510/5278] eta: 3:50:04 lr: 2.667757165896252e-05 loss: 0.0609 (0.0677) loss_seg: 0.0605 (0.0673) loss_lansim: 0.0416 (0.0385) loss_contra: 0.0005 (0.0027) time: 2.8887 data: 0.0060 max mem: 31630 Epoch: [20] [ 520/5278] eta: 3:49:34 lr: 2.667528606568927e-05 loss: 0.0621 (0.0679) loss_seg: 0.0616 (0.0675) loss_lansim: 0.0412 (0.0385) loss_contra: 0.0005 (0.0027) time: 2.8872 data: 0.0060 max mem: 31630 Epoch: [20] [ 530/5278] eta: 3:49:04 lr: 2.667300045065644e-05 loss: 0.0609 (0.0676) loss_seg: 0.0605 (0.0672) loss_lansim: 0.0408 (0.0385) loss_contra: 0.0004 (0.0027) time: 2.8861 data: 0.0060 max mem: 31630 Epoch: [20] [ 540/5278] eta: 3:48:35 lr: 2.667071481386176e-05 loss: 0.0621 (0.0676) loss_seg: 0.0616 (0.0671) loss_lansim: 0.0405 (0.0386) loss_contra: 0.0004 (0.0027) time: 2.8859 data: 0.0060 max mem: 31630 Epoch: [20] [ 550/5278] eta: 3:48:06 lr: 2.666842915530294e-05 loss: 0.0625 (0.0675) loss_seg: 0.0622 (0.0671) loss_lansim: 0.0403 (0.0386) loss_contra: 0.0004 (0.0027) time: 2.8862 data: 0.0060 max mem: 31630 Epoch: [20] [ 560/5278] eta: 3:47:39 lr: 2.6666143474977706e-05 loss: 0.0638 (0.0675) loss_seg: 0.0634 (0.0671) loss_lansim: 0.0398 (0.0386) loss_contra: 0.0004 (0.0027) time: 2.8894 data: 0.0060 max mem: 31630 Epoch: [20] [ 570/5278] eta: 3:47:06 lr: 2.6663857772883778e-05 loss: 0.0633 (0.0675) loss_seg: 0.0629 (0.0671) loss_lansim: 0.0398 (0.0387) loss_contra: 0.0004 (0.0028) time: 2.8866 data: 0.0060 max mem: 31630 Epoch: [20] [ 580/5278] eta: 3:46:38 lr: 2.666157204901888e-05 loss: 0.0631 (0.0680) loss_seg: 0.0627 (0.0675) loss_lansim: 0.0395 (0.0387) loss_contra: 0.0004 (0.0027) time: 2.8903 data: 0.0059 max mem: 31630 Epoch: [20] [ 590/5278] eta: 3:46:07 lr: 2.6659286303380716e-05 loss: 0.0633 (0.0681) loss_seg: 0.0629 (0.0677) loss_lansim: 0.0393 (0.0387) loss_contra: 0.0004 (0.0027) time: 2.8864 data: 0.0059 max mem: 31630 Epoch: [20] [ 600/5278] eta: 3:45:38 lr: 2.6657000535967015e-05 loss: 0.0633 (0.0683) loss_seg: 0.0629 (0.0679) loss_lansim: 0.0388 (0.0387) loss_contra: 0.0004 (0.0027) time: 2.8900 data: 0.0059 max mem: 31630 Epoch: [20] [ 610/5278] eta: 3:45:08 lr: 2.6654714746775494e-05 loss: 0.0642 (0.0684) loss_seg: 0.0638 (0.0680) loss_lansim: 0.0391 (0.0387) loss_contra: 0.0005 (0.0031) time: 2.8866 data: 0.0059 max mem: 31630 Epoch: [20] [ 620/5278] eta: 3:44:38 lr: 2.6652428935803876e-05 loss: 0.0633 (0.0685) loss_seg: 0.0629 (0.0680) loss_lansim: 0.0391 (0.0387) loss_contra: 0.0005 (0.0031) time: 2.8865 data: 0.0059 max mem: 31630 Epoch: [20] [ 630/5278] eta: 3:44:12 lr: 2.6650143103049864e-05 loss: 0.0638 (0.0684) loss_seg: 0.0634 (0.0680) loss_lansim: 0.0393 (0.0388) loss_contra: 0.0005 (0.0031) time: 2.8913 data: 0.0059 max mem: 31630 Epoch: [20] [ 640/5278] eta: 3:43:40 lr: 2.664785724851118e-05 loss: 0.0659 (0.0686) loss_seg: 0.0655 (0.0682) loss_lansim: 0.0389 (0.0387) loss_contra: 0.0006 (0.0030) time: 2.8874 data: 0.0060 max mem: 31630 Epoch: [20] [ 650/5278] eta: 3:43:10 lr: 2.6645571372185547e-05 loss: 0.0652 (0.0687) loss_seg: 0.0648 (0.0683) loss_lansim: 0.0389 (0.0388) loss_contra: 0.0006 (0.0030) time: 2.8860 data: 0.0059 max mem: 31630 Epoch: [20] [ 660/5278] eta: 3:42:39 lr: 2.664328547407067e-05 loss: 0.0641 (0.0685) loss_seg: 0.0636 (0.0681) loss_lansim: 0.0389 (0.0387) loss_contra: 0.0006 (0.0030) time: 2.8803 data: 0.0059 max mem: 31630 Epoch: [20] [ 670/5278] eta: 3:42:11 lr: 2.6640999554164274e-05 loss: 0.0621 (0.0684) loss_seg: 0.0618 (0.0680) loss_lansim: 0.0383 (0.0388) loss_contra: 0.0006 (0.0030) time: 2.8859 data: 0.0060 max mem: 31630 Epoch: [20] [ 680/5278] eta: 3:41:38 lr: 2.663871361246407e-05 loss: 0.0641 (0.0685) loss_seg: 0.0636 (0.0681) loss_lansim: 0.0389 (0.0388) loss_contra: 0.0005 (0.0030) time: 2.8794 data: 0.0060 max mem: 31630 Epoch: [20] [ 690/5278] eta: 3:41:10 lr: 2.6636427648967772e-05 loss: 0.0609 (0.0685) loss_seg: 0.0605 (0.0681) loss_lansim: 0.0391 (0.0389) loss_contra: 0.0005 (0.0030) time: 2.8817 data: 0.0059 max mem: 31630 Epoch: [20] [ 700/5278] eta: 3:40:39 lr: 2.6634141663673094e-05 loss: 0.0640 (0.0687) loss_seg: 0.0634 (0.0683) loss_lansim: 0.0397 (0.0389) loss_contra: 0.0004 (0.0030) time: 2.8804 data: 0.0060 max mem: 31630 Epoch: [20] [ 710/5278] eta: 3:40:12 lr: 2.6631855656577743e-05 loss: 0.0609 (0.0687) loss_seg: 0.0605 (0.0683) loss_lansim: 0.0401 (0.0389) loss_contra: 0.0004 (0.0030) time: 2.8836 data: 0.0060 max mem: 31630 Epoch: [20] [ 720/5278] eta: 3:39:43 lr: 2.662956962767944e-05 loss: 0.0593 (0.0686) loss_seg: 0.0588 (0.0681) loss_lansim: 0.0394 (0.0389) loss_contra: 0.0004 (0.0029) time: 2.8841 data: 0.0059 max mem: 31630 Epoch: [20] [ 730/5278] eta: 3:39:16 lr: 2.662728357697589e-05 loss: 0.0589 (0.0685) loss_seg: 0.0585 (0.0681) loss_lansim: 0.0394 (0.0390) loss_contra: 0.0003 (0.0029) time: 2.8842 data: 0.0059 max mem: 31630 Epoch: [20] [ 740/5278] eta: 3:38:46 lr: 2.6624997504464816e-05 loss: 0.0586 (0.0686) loss_seg: 0.0582 (0.0682) loss_lansim: 0.0401 (0.0390) loss_contra: 0.0003 (0.0029) time: 2.8864 data: 0.0059 max mem: 31630 Epoch: [20] [ 750/5278] eta: 3:38:16 lr: 2.6622711410143926e-05 loss: 0.0588 (0.0685) loss_seg: 0.0583 (0.0680) loss_lansim: 0.0401 (0.0390) loss_contra: 0.0003 (0.0029) time: 2.8856 data: 0.0059 max mem: 31630 Epoch: [20] [ 760/5278] eta: 3:37:48 lr: 2.662042529401092e-05 loss: 0.0593 (0.0684) loss_seg: 0.0588 (0.0680) loss_lansim: 0.0402 (0.0390) loss_contra: 0.0004 (0.0029) time: 2.8904 data: 0.0060 max mem: 31630 Epoch: [20] [ 770/5278] eta: 3:37:18 lr: 2.6618139156063522e-05 loss: 0.0607 (0.0684) loss_seg: 0.0602 (0.0680) loss_lansim: 0.0402 (0.0390) loss_contra: 0.0003 (0.0029) time: 2.8864 data: 0.0060 max mem: 31630 Epoch: [20] [ 780/5278] eta: 3:36:49 lr: 2.661585299629943e-05 loss: 0.0589 (0.0683) loss_seg: 0.0585 (0.0679) loss_lansim: 0.0402 (0.0391) loss_contra: 0.0004 (0.0029) time: 2.8924 data: 0.0059 max mem: 31630 Epoch: [20] [ 790/5278] eta: 3:36:19 lr: 2.6613566814716366e-05 loss: 0.0586 (0.0681) loss_seg: 0.0582 (0.0677) loss_lansim: 0.0401 (0.0391) loss_contra: 0.0004 (0.0029) time: 2.8894 data: 0.0059 max mem: 31630 Epoch: [20] [ 800/5278] eta: 3:35:51 lr: 2.6611280611312032e-05 loss: 0.0575 (0.0683) loss_seg: 0.0572 (0.0678) loss_lansim: 0.0401 (0.0392) loss_contra: 0.0003 (0.0030) time: 2.8937 data: 0.0059 max mem: 31630 Epoch: [20] [ 810/5278] eta: 3:35:20 lr: 2.6608994386084135e-05 loss: 0.0568 (0.0681) loss_seg: 0.0564 (0.0677) loss_lansim: 0.0403 (0.0392) loss_contra: 0.0004 (0.0030) time: 2.8881 data: 0.0059 max mem: 31630 Epoch: [20] [ 820/5278] eta: 3:34:51 lr: 2.660670813903039e-05 loss: 0.0586 (0.0681) loss_seg: 0.0582 (0.0677) loss_lansim: 0.0409 (0.0393) loss_contra: 0.0004 (0.0030) time: 2.8879 data: 0.0060 max mem: 31630 Epoch: [20] [ 830/5278] eta: 3:34:20 lr: 2.6604421870148503e-05 loss: 0.0603 (0.0681) loss_seg: 0.0599 (0.0677) loss_lansim: 0.0411 (0.0393) loss_contra: 0.0004 (0.0030) time: 2.8791 data: 0.0060 max mem: 31630 Epoch: [20] [ 840/5278] eta: 3:33:51 lr: 2.6602135579436177e-05 loss: 0.0590 (0.0680) loss_seg: 0.0585 (0.0676) loss_lansim: 0.0418 (0.0393) loss_contra: 0.0003 (0.0030) time: 2.8805 data: 0.0060 max mem: 31630 Epoch: [20] [ 850/5278] eta: 3:33:19 lr: 2.659984926689112e-05 loss: 0.0590 (0.0680) loss_seg: 0.0585 (0.0675) loss_lansim: 0.0413 (0.0393) loss_contra: 0.0003 (0.0029) time: 2.8780 data: 0.0061 max mem: 31630 Epoch: [20] [ 860/5278] eta: 3:32:50 lr: 2.659756293251104e-05 loss: 0.0586 (0.0680) loss_seg: 0.0582 (0.0676) loss_lansim: 0.0414 (0.0394) loss_contra: 0.0003 (0.0029) time: 2.8756 data: 0.0061 max mem: 31630 Epoch: [20] [ 870/5278] eta: 3:32:21 lr: 2.659527657629364e-05 loss: 0.0593 (0.0682) loss_seg: 0.0589 (0.0678) loss_lansim: 0.0418 (0.0394) loss_contra: 0.0003 (0.0029) time: 2.8774 data: 0.0061 max mem: 31630 Epoch: [20] [ 880/5278] eta: 3:31:51 lr: 2.6592990198236633e-05 loss: 0.0603 (0.0681) loss_seg: 0.0599 (0.0677) loss_lansim: 0.0413 (0.0394) loss_contra: 0.0003 (0.0030) time: 2.8747 data: 0.0061 max mem: 31630 Epoch: [20] [ 890/5278] eta: 3:31:22 lr: 2.6590703798337712e-05 loss: 0.0603 (0.0681) loss_seg: 0.0599 (0.0676) loss_lansim: 0.0414 (0.0395) loss_contra: 0.0004 (0.0030) time: 2.8769 data: 0.0061 max mem: 31630 Epoch: [20] [ 900/5278] eta: 3:30:52 lr: 2.6588417376594593e-05 loss: 0.0634 (0.0681) loss_seg: 0.0629 (0.0676) loss_lansim: 0.0413 (0.0395) loss_contra: 0.0004 (0.0030) time: 2.8711 data: 0.0062 max mem: 31630 Epoch: [20] [ 910/5278] eta: 3:30:21 lr: 2.6586130933004984e-05 loss: 0.0634 (0.0681) loss_seg: 0.0629 (0.0676) loss_lansim: 0.0415 (0.0395) loss_contra: 0.0004 (0.0030) time: 2.8701 data: 0.0063 max mem: 31630 Epoch: [20] [ 920/5278] eta: 3:29:47 lr: 2.6583844467566573e-05 loss: 0.0634 (0.0680) loss_seg: 0.0629 (0.0676) loss_lansim: 0.0413 (0.0396) loss_contra: 0.0003 (0.0031) time: 2.8609 data: 0.0063 max mem: 31630 Epoch: [20] [ 930/5278] eta: 3:29:14 lr: 2.6581557980277066e-05 loss: 0.0611 (0.0681) loss_seg: 0.0607 (0.0677) loss_lansim: 0.0413 (0.0396) loss_contra: 0.0004 (0.0031) time: 2.8554 data: 0.0062 max mem: 31630 Epoch: [20] [ 940/5278] eta: 3:28:41 lr: 2.657927147113417e-05 loss: 0.0615 (0.0681) loss_seg: 0.0610 (0.0677) loss_lansim: 0.0415 (0.0397) loss_contra: 0.0005 (0.0031) time: 2.8457 data: 0.0062 max mem: 31630 Epoch: [20] [ 950/5278] eta: 3:28:07 lr: 2.6576984940135596e-05 loss: 0.0624 (0.0681) loss_seg: 0.0619 (0.0676) loss_lansim: 0.0426 (0.0397) loss_contra: 0.0005 (0.0030) time: 2.8400 data: 0.0062 max mem: 31630 Epoch: [20] [ 960/5278] eta: 3:27:34 lr: 2.6574698387279028e-05 loss: 0.0624 (0.0682) loss_seg: 0.0619 (0.0677) loss_lansim: 0.0435 (0.0398) loss_contra: 0.0005 (0.0031) time: 2.8307 data: 0.0062 max mem: 31630 Epoch: [20] [ 970/5278] eta: 3:27:01 lr: 2.6572411812562183e-05 loss: 0.0615 (0.0682) loss_seg: 0.0610 (0.0677) loss_lansim: 0.0436 (0.0399) loss_contra: 0.0005 (0.0031) time: 2.8215 data: 0.0063 max mem: 31630 Epoch: [20] [ 980/5278] eta: 3:26:29 lr: 2.657012521598275e-05 loss: 0.0615 (0.0681) loss_seg: 0.0610 (0.0676) loss_lansim: 0.0441 (0.0399) loss_contra: 0.0005 (0.0032) time: 2.8140 data: 0.0063 max mem: 31630 Epoch: [20] [ 990/5278] eta: 3:25:56 lr: 2.656783859753844e-05 loss: 0.0624 (0.0681) loss_seg: 0.0619 (0.0677) loss_lansim: 0.0441 (0.0400) loss_contra: 0.0005 (0.0032) time: 2.8038 data: 0.0063 max mem: 31630 Epoch: [20] [1000/5278] eta: 3:25:23 lr: 2.6565551957226948e-05 loss: 0.0615 (0.0680) loss_seg: 0.0610 (0.0676) loss_lansim: 0.0442 (0.0400) loss_contra: 0.0005 (0.0032) time: 2.7973 data: 0.0063 max mem: 31630 Epoch: [20] [1010/5278] eta: 3:24:50 lr: 2.6563265295045968e-05 loss: 0.0611 (0.0682) loss_seg: 0.0607 (0.0677) loss_lansim: 0.0441 (0.0401) loss_contra: 0.0005 (0.0032) time: 2.7911 data: 0.0062 max mem: 31630 Epoch: [20] [1020/5278] eta: 3:24:18 lr: 2.656097861099321e-05 loss: 0.0598 (0.0682) loss_seg: 0.0592 (0.0677) loss_lansim: 0.0446 (0.0401) loss_contra: 0.0006 (0.0032) time: 2.7911 data: 0.0063 max mem: 31630 Epoch: [20] [1030/5278] eta: 3:23:46 lr: 2.6558691905066362e-05 loss: 0.0597 (0.0682) loss_seg: 0.0593 (0.0677) loss_lansim: 0.0444 (0.0401) loss_contra: 0.0006 (0.0032) time: 2.7933 data: 0.0063 max mem: 31630 Epoch: [20] [1040/5278] eta: 3:23:16 lr: 2.6556405177263134e-05 loss: 0.0593 (0.0680) loss_seg: 0.0588 (0.0676) loss_lansim: 0.0442 (0.0402) loss_contra: 0.0006 (0.0032) time: 2.7974 data: 0.0063 max mem: 31630 Epoch: [20] [1050/5278] eta: 3:22:46 lr: 2.6554118427581208e-05 loss: 0.0593 (0.0681) loss_seg: 0.0588 (0.0677) loss_lansim: 0.0442 (0.0403) loss_contra: 0.0005 (0.0032) time: 2.8045 data: 0.0063 max mem: 31630 Epoch: [20] [1060/5278] eta: 3:22:19 lr: 2.6551831656018293e-05 loss: 0.0595 (0.0682) loss_seg: 0.0590 (0.0677) loss_lansim: 0.0449 (0.0404) loss_contra: 0.0005 (0.0032) time: 2.8158 data: 0.0063 max mem: 31630 Epoch: [20] [1070/5278] eta: 3:21:50 lr: 2.654954486257208e-05 loss: 0.0595 (0.0682) loss_seg: 0.0590 (0.0678) loss_lansim: 0.0457 (0.0407) loss_contra: 0.0006 (0.0032) time: 2.8249 data: 0.0063 max mem: 31630 Epoch: [20] [1080/5278] eta: 3:21:23 lr: 2.6547258047240275e-05 loss: 0.0601 (0.0682) loss_seg: 0.0597 (0.0678) loss_lansim: 0.0470 (0.0408) loss_contra: 0.0006 (0.0031) time: 2.8379 data: 0.0062 max mem: 31630 Epoch: [20] [1090/5278] eta: 3:20:55 lr: 2.6544971210020564e-05 loss: 0.0613 (0.0683) loss_seg: 0.0608 (0.0678) loss_lansim: 0.0480 (0.0409) loss_contra: 0.0004 (0.0031) time: 2.8487 data: 0.0062 max mem: 31630 Epoch: [20] [1100/5278] eta: 3:20:28 lr: 2.654268435091064e-05 loss: 0.0595 (0.0681) loss_seg: 0.0590 (0.0677) loss_lansim: 0.0474 (0.0409) loss_contra: 0.0004 (0.0031) time: 2.8617 data: 0.0062 max mem: 31630 Epoch: [20] [1110/5278] eta: 3:20:01 lr: 2.65403974699082e-05 loss: 0.0601 (0.0682) loss_seg: 0.0597 (0.0677) loss_lansim: 0.0489 (0.0410) loss_contra: 0.0004 (0.0033) time: 2.8761 data: 0.0063 max mem: 31630 Epoch: [20] [1120/5278] eta: 3:19:31 lr: 2.6538110567010953e-05 loss: 0.0607 (0.0684) loss_seg: 0.0603 (0.0680) loss_lansim: 0.0497 (0.0411) loss_contra: 0.0004 (0.0032) time: 2.8817 data: 0.0062 max mem: 31630 Epoch: [20] [1130/5278] eta: 3:19:02 lr: 2.6535823642216573e-05 loss: 0.0647 (0.0687) loss_seg: 0.0642 (0.0682) loss_lansim: 0.0506 (0.0412) loss_contra: 0.0005 (0.0033) time: 2.8884 data: 0.0062 max mem: 31630 Epoch: [20] [1140/5278] eta: 3:18:33 lr: 2.653353669552276e-05 loss: 0.0693 (0.0686) loss_seg: 0.0688 (0.0682) loss_lansim: 0.0506 (0.0412) loss_contra: 0.0006 (0.0033) time: 2.8925 data: 0.0063 max mem: 31630 Epoch: [20] [1150/5278] eta: 3:18:04 lr: 2.653124972692721e-05 loss: 0.0649 (0.0687) loss_seg: 0.0645 (0.0683) loss_lansim: 0.0500 (0.0413) loss_contra: 0.0007 (0.0033) time: 2.8935 data: 0.0064 max mem: 31630 Epoch: [20] [1160/5278] eta: 3:17:36 lr: 2.6528962736427614e-05 loss: 0.0645 (0.0687) loss_seg: 0.0640 (0.0682) loss_lansim: 0.0497 (0.0414) loss_contra: 0.0006 (0.0033) time: 2.8927 data: 0.0065 max mem: 31630 Epoch: [20] [1170/5278] eta: 3:17:07 lr: 2.6526675724021666e-05 loss: 0.0649 (0.0687) loss_seg: 0.0645 (0.0682) loss_lansim: 0.0491 (0.0414) loss_contra: 0.0006 (0.0033) time: 2.8926 data: 0.0065 max mem: 31630 Epoch: [20] [1180/5278] eta: 3:16:39 lr: 2.6524388689707054e-05 loss: 0.0649 (0.0687) loss_seg: 0.0645 (0.0683) loss_lansim: 0.0486 (0.0415) loss_contra: 0.0006 (0.0033) time: 2.8885 data: 0.0065 max mem: 31630 Epoch: [20] [1190/5278] eta: 3:16:09 lr: 2.6522101633481468e-05 loss: 0.0658 (0.0688) loss_seg: 0.0654 (0.0683) loss_lansim: 0.0484 (0.0415) loss_contra: 0.0010 (0.0033) time: 2.8856 data: 0.0065 max mem: 31630 Epoch: [20] [1200/5278] eta: 3:15:41 lr: 2.6519814555342608e-05 loss: 0.0696 (0.0688) loss_seg: 0.0690 (0.0683) loss_lansim: 0.0487 (0.0416) loss_contra: 0.0011 (0.0033) time: 2.8817 data: 0.0066 max mem: 31630 Epoch: [20] [1210/5278] eta: 3:15:11 lr: 2.6517527455288156e-05 loss: 0.0711 (0.0688) loss_seg: 0.0706 (0.0683) loss_lansim: 0.0469 (0.0416) loss_contra: 0.0011 (0.0033) time: 2.8749 data: 0.0066 max mem: 31630 Epoch: [20] [1220/5278] eta: 3:14:42 lr: 2.6515240333315795e-05 loss: 0.0711 (0.0687) loss_seg: 0.0706 (0.0683) loss_lansim: 0.0464 (0.0416) loss_contra: 0.0012 (0.0033) time: 2.8766 data: 0.0067 max mem: 31630 Epoch: [20] [1230/5278] eta: 3:14:13 lr: 2.6512953189423228e-05 loss: 0.0629 (0.0688) loss_seg: 0.0624 (0.0683) loss_lansim: 0.0462 (0.0417) loss_contra: 0.0007 (0.0033) time: 2.8764 data: 0.0067 max mem: 31630 Epoch: [20] [1240/5278] eta: 3:13:44 lr: 2.6510666023608137e-05 loss: 0.0628 (0.0688) loss_seg: 0.0623 (0.0683) loss_lansim: 0.0464 (0.0417) loss_contra: 0.0006 (0.0033) time: 2.8759 data: 0.0066 max mem: 31630 Epoch: [20] [1250/5278] eta: 3:13:15 lr: 2.6508378835868218e-05 loss: 0.0629 (0.0688) loss_seg: 0.0624 (0.0684) loss_lansim: 0.0464 (0.0418) loss_contra: 0.0005 (0.0033) time: 2.8765 data: 0.0065 max mem: 31630 Epoch: [20] [1260/5278] eta: 3:12:45 lr: 2.6506091626201147e-05 loss: 0.0628 (0.0688) loss_seg: 0.0624 (0.0683) loss_lansim: 0.0464 (0.0418) loss_contra: 0.0005 (0.0033) time: 2.8696 data: 0.0065 max mem: 31630 Epoch: [20] [1270/5278] eta: 3:12:17 lr: 2.650380439460462e-05 loss: 0.0624 (0.0687) loss_seg: 0.0618 (0.0683) loss_lansim: 0.0464 (0.0419) loss_contra: 0.0005 (0.0033) time: 2.8706 data: 0.0064 max mem: 31630 Epoch: [20] [1280/5278] eta: 3:11:47 lr: 2.6501517141076316e-05 loss: 0.0628 (0.0687) loss_seg: 0.0624 (0.0682) loss_lansim: 0.0463 (0.0419) loss_contra: 0.0005 (0.0033) time: 2.8665 data: 0.0065 max mem: 31630 Epoch: [20] [1290/5278] eta: 3:11:18 lr: 2.6499229865613934e-05 loss: 0.0616 (0.0687) loss_seg: 0.0611 (0.0683) loss_lansim: 0.0462 (0.0419) loss_contra: 0.0004 (0.0033) time: 2.8682 data: 0.0065 max mem: 31630 Epoch: [20] [1300/5278] eta: 3:10:49 lr: 2.6496942568215148e-05 loss: 0.0641 (0.0688) loss_seg: 0.0629 (0.0684) loss_lansim: 0.0458 (0.0419) loss_contra: 0.0003 (0.0033) time: 2.8663 data: 0.0065 max mem: 31630 Epoch: [20] [1310/5278] eta: 3:10:21 lr: 2.649465524887765e-05 loss: 0.0641 (0.0688) loss_seg: 0.0629 (0.0684) loss_lansim: 0.0461 (0.0420) loss_contra: 0.0003 (0.0038) time: 2.8691 data: 0.0065 max mem: 31630 Epoch: [20] [1320/5278] eta: 3:09:51 lr: 2.649236790759912e-05 loss: 0.0641 (0.0688) loss_seg: 0.0630 (0.0684) loss_lansim: 0.0459 (0.0420) loss_contra: 0.0004 (0.0038) time: 2.8666 data: 0.0065 max mem: 31630 Epoch: [20] [1330/5278] eta: 3:09:22 lr: 2.6490080544377248e-05 loss: 0.0629 (0.0688) loss_seg: 0.0624 (0.0683) loss_lansim: 0.0457 (0.0420) loss_contra: 0.0005 (0.0038) time: 2.8681 data: 0.0065 max mem: 31630 Epoch: [20] [1340/5278] eta: 3:08:54 lr: 2.6487793159209717e-05 loss: 0.0624 (0.0687) loss_seg: 0.0612 (0.0683) loss_lansim: 0.0446 (0.0420) loss_contra: 0.0006 (0.0039) time: 2.8705 data: 0.0066 max mem: 31630 Epoch: [20] [1350/5278] eta: 3:08:24 lr: 2.6485505752094204e-05 loss: 0.0622 (0.0687) loss_seg: 0.0612 (0.0683) loss_lansim: 0.0433 (0.0420) loss_contra: 0.0007 (0.0039) time: 2.8670 data: 0.0066 max mem: 31630 Epoch: [20] [1360/5278] eta: 3:07:56 lr: 2.64832183230284e-05 loss: 0.0618 (0.0687) loss_seg: 0.0605 (0.0682) loss_lansim: 0.0430 (0.0420) loss_contra: 0.0007 (0.0039) time: 2.8734 data: 0.0066 max mem: 31630 Epoch: [20] [1370/5278] eta: 3:07:27 lr: 2.6480930872009995e-05 loss: 0.0628 (0.0688) loss_seg: 0.0622 (0.0683) loss_lansim: 0.0432 (0.0421) loss_contra: 0.0007 (0.0039) time: 2.8720 data: 0.0067 max mem: 31630 Epoch: [20] [1380/5278] eta: 3:06:58 lr: 2.647864339903665e-05 loss: 0.0642 (0.0688) loss_seg: 0.0637 (0.0684) loss_lansim: 0.0435 (0.0421) loss_contra: 0.0007 (0.0039) time: 2.8743 data: 0.0066 max mem: 31630 Epoch: [20] [1390/5278] eta: 3:06:29 lr: 2.6476355904106064e-05 loss: 0.0661 (0.0689) loss_seg: 0.0657 (0.0685) loss_lansim: 0.0436 (0.0421) loss_contra: 0.0007 (0.0039) time: 2.8721 data: 0.0066 max mem: 31630 Epoch: [20] [1400/5278] eta: 3:05:59 lr: 2.647406838721591e-05 loss: 0.0650 (0.0690) loss_seg: 0.0644 (0.0685) loss_lansim: 0.0447 (0.0422) loss_contra: 0.0008 (0.0039) time: 2.8721 data: 0.0066 max mem: 31630 Epoch: [20] [1410/5278] eta: 3:05:31 lr: 2.647178084836388e-05 loss: 0.0642 (0.0689) loss_seg: 0.0637 (0.0684) loss_lansim: 0.0454 (0.0422) loss_contra: 0.0007 (0.0038) time: 2.8707 data: 0.0066 max mem: 31630 Epoch: [20] [1420/5278] eta: 3:05:02 lr: 2.6469493287547644e-05 loss: 0.0644 (0.0689) loss_seg: 0.0638 (0.0684) loss_lansim: 0.0455 (0.0423) loss_contra: 0.0007 (0.0038) time: 2.8743 data: 0.0066 max mem: 31630 Epoch: [20] [1430/5278] eta: 3:04:33 lr: 2.6467205704764873e-05 loss: 0.0644 (0.0688) loss_seg: 0.0638 (0.0683) loss_lansim: 0.0454 (0.0423) loss_contra: 0.0006 (0.0039) time: 2.8717 data: 0.0066 max mem: 31630 Epoch: [20] [1440/5278] eta: 3:04:03 lr: 2.646491810001327e-05 loss: 0.0644 (0.0686) loss_seg: 0.0638 (0.0682) loss_lansim: 0.0458 (0.0424) loss_contra: 0.0005 (0.0038) time: 2.8683 data: 0.0065 max mem: 31630 Epoch: [20] [1450/5278] eta: 3:03:34 lr: 2.64626304732905e-05 loss: 0.0661 (0.0687) loss_seg: 0.0657 (0.0682) loss_lansim: 0.0461 (0.0424) loss_contra: 0.0004 (0.0038) time: 2.8706 data: 0.0065 max mem: 31630 Epoch: [20] [1460/5278] eta: 3:03:05 lr: 2.646034282459424e-05 loss: 0.0644 (0.0686) loss_seg: 0.0638 (0.0681) loss_lansim: 0.0465 (0.0425) loss_contra: 0.0005 (0.0038) time: 2.8662 data: 0.0065 max mem: 31630 Epoch: [20] [1470/5278] eta: 3:02:36 lr: 2.6458055153922173e-05 loss: 0.0623 (0.0687) loss_seg: 0.0618 (0.0683) loss_lansim: 0.0473 (0.0427) loss_contra: 0.0006 (0.0039) time: 2.8652 data: 0.0064 max mem: 31630 Epoch: [20] [1480/5278] eta: 3:02:07 lr: 2.6455767461271973e-05 loss: 0.0594 (0.0688) loss_seg: 0.0589 (0.0683) loss_lansim: 0.0494 (0.0429) loss_contra: 0.0006 (0.0039) time: 2.8651 data: 0.0065 max mem: 31630 Epoch: [20] [1490/5278] eta: 3:01:37 lr: 2.6453479746641324e-05 loss: 0.0578 (0.0687) loss_seg: 0.0572 (0.0683) loss_lansim: 0.0527 (0.0432) loss_contra: 0.0008 (0.0039) time: 2.8639 data: 0.0066 max mem: 31630 Epoch: [20] [1500/5278] eta: 3:01:08 lr: 2.6451192010027898e-05 loss: 0.0578 (0.0687) loss_seg: 0.0571 (0.0683) loss_lansim: 0.0561 (0.0435) loss_contra: 0.0009 (0.0039) time: 2.8637 data: 0.0067 max mem: 31630 Epoch: [20] [1510/5278] eta: 3:00:38 lr: 2.6448904251429368e-05 loss: 0.0594 (0.0688) loss_seg: 0.0586 (0.0684) loss_lansim: 0.0610 (0.0438) loss_contra: 0.0013 (0.0040) time: 2.8592 data: 0.0067 max mem: 31630 Epoch: [20] [1520/5278] eta: 3:00:10 lr: 2.6446616470843412e-05 loss: 0.0594 (0.0690) loss_seg: 0.0589 (0.0685) loss_lansim: 0.0690 (0.0440) loss_contra: 0.0018 (0.0040) time: 2.8598 data: 0.0068 max mem: 31630 Epoch: [20] [1530/5278] eta: 2:59:40 lr: 2.6444328668267704e-05 loss: 0.0629 (0.0690) loss_seg: 0.0619 (0.0685) loss_lansim: 0.0751 (0.0443) loss_contra: 0.0019 (0.0040) time: 2.8572 data: 0.0067 max mem: 31630 Epoch: [20] [1540/5278] eta: 2:59:12 lr: 2.6442040843699935e-05 loss: 0.0635 (0.0690) loss_seg: 0.0629 (0.0685) loss_lansim: 0.0800 (0.0446) loss_contra: 0.0021 (0.0040) time: 2.8608 data: 0.0067 max mem: 31630 Epoch: [20] [1550/5278] eta: 2:58:42 lr: 2.6439752997137752e-05 loss: 0.0656 (0.0691) loss_seg: 0.0645 (0.0686) loss_lansim: 0.0812 (0.0449) loss_contra: 0.0020 (0.0041) time: 2.8597 data: 0.0067 max mem: 31630 Epoch: [20] [1560/5278] eta: 2:58:13 lr: 2.6437465128578842e-05 loss: 0.0665 (0.0691) loss_seg: 0.0658 (0.0686) loss_lansim: 0.0823 (0.0451) loss_contra: 0.0019 (0.0041) time: 2.8618 data: 0.0067 max mem: 31630 Epoch: [20] [1570/5278] eta: 2:57:44 lr: 2.643517723802088e-05 loss: 0.0665 (0.0690) loss_seg: 0.0656 (0.0685) loss_lansim: 0.0823 (0.0453) loss_contra: 0.0019 (0.0041) time: 2.8590 data: 0.0067 max mem: 31630 Epoch: [20] [1580/5278] eta: 2:57:15 lr: 2.643288932546154e-05 loss: 0.0657 (0.0690) loss_seg: 0.0648 (0.0685) loss_lansim: 0.0823 (0.0455) loss_contra: 0.0019 (0.0041) time: 2.8581 data: 0.0066 max mem: 31630 Epoch: [20] [1590/5278] eta: 2:56:45 lr: 2.6430601390898492e-05 loss: 0.0673 (0.0691) loss_seg: 0.0665 (0.0686) loss_lansim: 0.0823 (0.0457) loss_contra: 0.0018 (0.0041) time: 2.8572 data: 0.0064 max mem: 31630 Epoch: [20] [1600/5278] eta: 2:56:16 lr: 2.6428313434329406e-05 loss: 0.0665 (0.0691) loss_seg: 0.0656 (0.0686) loss_lansim: 0.0814 (0.0459) loss_contra: 0.0017 (0.0042) time: 2.8573 data: 0.0063 max mem: 31630 Epoch: [20] [1610/5278] eta: 2:55:47 lr: 2.6426025455751958e-05 loss: 0.0656 (0.0691) loss_seg: 0.0645 (0.0686) loss_lansim: 0.0801 (0.0461) loss_contra: 0.0014 (0.0042) time: 2.8592 data: 0.0061 max mem: 31630 Epoch: [20] [1620/5278] eta: 2:55:17 lr: 2.6423737455163817e-05 loss: 0.0623 (0.0691) loss_seg: 0.0612 (0.0686) loss_lansim: 0.0781 (0.0463) loss_contra: 0.0011 (0.0042) time: 2.8549 data: 0.0059 max mem: 31630 Epoch: [20] [1630/5278] eta: 2:54:48 lr: 2.642144943256265e-05 loss: 0.0618 (0.0690) loss_seg: 0.0610 (0.0685) loss_lansim: 0.0762 (0.0464) loss_contra: 0.0010 (0.0042) time: 2.8589 data: 0.0059 max mem: 31630 Epoch: [20] [1640/5278] eta: 2:54:19 lr: 2.6419161387946127e-05 loss: 0.0623 (0.0691) loss_seg: 0.0612 (0.0686) loss_lansim: 0.0754 (0.0466) loss_contra: 0.0010 (0.0042) time: 2.8529 data: 0.0058 max mem: 31630 Epoch: [20] [1650/5278] eta: 2:53:50 lr: 2.6416873321311924e-05 loss: 0.0608 (0.0691) loss_seg: 0.0600 (0.0686) loss_lansim: 0.0736 (0.0467) loss_contra: 0.0010 (0.0042) time: 2.8552 data: 0.0058 max mem: 31630 Epoch: [20] [1660/5278] eta: 2:53:20 lr: 2.6414585232657713e-05 loss: 0.0613 (0.0691) loss_seg: 0.0605 (0.0686) loss_lansim: 0.0728 (0.0468) loss_contra: 0.0011 (0.0042) time: 2.8517 data: 0.0058 max mem: 31630 Epoch: [20] [1670/5278] eta: 2:52:52 lr: 2.641229712198115e-05 loss: 0.0619 (0.0691) loss_seg: 0.0612 (0.0686) loss_lansim: 0.0719 (0.0470) loss_contra: 0.0010 (0.0043) time: 2.8541 data: 0.0058 max mem: 31630 Epoch: [20] [1680/5278] eta: 2:52:22 lr: 2.6410008989279904e-05 loss: 0.0633 (0.0693) loss_seg: 0.0626 (0.0688) loss_lansim: 0.0708 (0.0471) loss_contra: 0.0010 (0.0043) time: 2.8529 data: 0.0058 max mem: 31630 Epoch: [20] [1690/5278] eta: 2:51:53 lr: 2.640772083455166e-05 loss: 0.0630 (0.0694) loss_seg: 0.0622 (0.0689) loss_lansim: 0.0698 (0.0472) loss_contra: 0.0011 (0.0044) time: 2.8543 data: 0.0058 max mem: 31630 Epoch: [20] [1700/5278] eta: 2:51:23 lr: 2.640543265779407e-05 loss: 0.0624 (0.0694) loss_seg: 0.0616 (0.0689) loss_lansim: 0.0695 (0.0473) loss_contra: 0.0011 (0.0044) time: 2.8520 data: 0.0058 max mem: 31630 Epoch: [20] [1710/5278] eta: 2:50:55 lr: 2.64031444590048e-05 loss: 0.0630 (0.0694) loss_seg: 0.0622 (0.0688) loss_lansim: 0.0687 (0.0474) loss_contra: 0.0011 (0.0044) time: 2.8551 data: 0.0059 max mem: 31630 Epoch: [20] [1720/5278] eta: 2:50:25 lr: 2.6400856238181527e-05 loss: 0.0641 (0.0695) loss_seg: 0.0633 (0.0689) loss_lansim: 0.0675 (0.0475) loss_contra: 0.0013 (0.0044) time: 2.8546 data: 0.0059 max mem: 31630 Epoch: [20] [1730/5278] eta: 2:49:57 lr: 2.6398567995321906e-05 loss: 0.0641 (0.0694) loss_seg: 0.0633 (0.0689) loss_lansim: 0.0670 (0.0476) loss_contra: 0.0014 (0.0044) time: 2.8579 data: 0.0059 max mem: 31630 Epoch: [20] [1740/5278] eta: 2:49:29 lr: 2.6396279730423608e-05 loss: 0.0638 (0.0694) loss_seg: 0.0632 (0.0689) loss_lansim: 0.0668 (0.0477) loss_contra: 0.0016 (0.0045) time: 2.8619 data: 0.0059 max mem: 31630 Epoch: [20] [1750/5278] eta: 2:49:01 lr: 2.63939914434843e-05 loss: 0.0676 (0.0694) loss_seg: 0.0669 (0.0689) loss_lansim: 0.0663 (0.0478) loss_contra: 0.0014 (0.0045) time: 2.8648 data: 0.0059 max mem: 31630 Epoch: [20] [1760/5278] eta: 2:48:32 lr: 2.6391703134501644e-05 loss: 0.0700 (0.0695) loss_seg: 0.0694 (0.0690) loss_lansim: 0.0654 (0.0479) loss_contra: 0.0014 (0.0045) time: 2.8705 data: 0.0058 max mem: 31630 Epoch: [20] [1770/5278] eta: 2:48:04 lr: 2.63894148034733e-05 loss: 0.0692 (0.0695) loss_seg: 0.0686 (0.0690) loss_lansim: 0.0652 (0.0480) loss_contra: 0.0016 (0.0046) time: 2.8724 data: 0.0058 max mem: 31630 Epoch: [20] [1780/5278] eta: 2:47:35 lr: 2.6387126450396933e-05 loss: 0.0692 (0.0697) loss_seg: 0.0686 (0.0691) loss_lansim: 0.0652 (0.0481) loss_contra: 0.0012 (0.0046) time: 2.8747 data: 0.0058 max mem: 31630 Epoch: [20] [1790/5278] eta: 2:47:06 lr: 2.638483807527022e-05 loss: 0.0696 (0.0698) loss_seg: 0.0690 (0.0693) loss_lansim: 0.0646 (0.0482) loss_contra: 0.0012 (0.0046) time: 2.8760 data: 0.0057 max mem: 31630 Epoch: [20] [1800/5278] eta: 2:46:36 lr: 2.6382549678090797e-05 loss: 0.0709 (0.0698) loss_seg: 0.0700 (0.0693) loss_lansim: 0.0645 (0.0483) loss_contra: 0.0012 (0.0045) time: 2.8734 data: 0.0057 max mem: 31630 Epoch: [20] [1810/5278] eta: 2:46:06 lr: 2.6380261258856347e-05 loss: 0.0718 (0.0698) loss_seg: 0.0711 (0.0693) loss_lansim: 0.0635 (0.0484) loss_contra: 0.0011 (0.0046) time: 2.8656 data: 0.0057 max mem: 31630 Epoch: [20] [1820/5278] eta: 2:45:36 lr: 2.6377972817564523e-05 loss: 0.0722 (0.0699) loss_seg: 0.0714 (0.0693) loss_lansim: 0.0635 (0.0484) loss_contra: 0.0009 (0.0045) time: 2.8612 data: 0.0057 max mem: 31630 Epoch: [20] [1830/5278] eta: 2:45:05 lr: 2.6375684354212992e-05 loss: 0.0719 (0.0698) loss_seg: 0.0714 (0.0693) loss_lansim: 0.0631 (0.0485) loss_contra: 0.0009 (0.0046) time: 2.8504 data: 0.0057 max mem: 31630 Epoch: [20] [1840/5278] eta: 2:44:36 lr: 2.637339586879941e-05 loss: 0.0739 (0.0699) loss_seg: 0.0732 (0.0694) loss_lansim: 0.0629 (0.0486) loss_contra: 0.0009 (0.0046) time: 2.8445 data: 0.0057 max mem: 31630 Epoch: [20] [1850/5278] eta: 2:44:06 lr: 2.6371107361321434e-05 loss: 0.0719 (0.0699) loss_seg: 0.0714 (0.0694) loss_lansim: 0.0621 (0.0486) loss_contra: 0.0010 (0.0046) time: 2.8373 data: 0.0057 max mem: 31630 Epoch: [20] [1860/5278] eta: 2:43:36 lr: 2.6368818831776732e-05 loss: 0.0717 (0.0699) loss_seg: 0.0711 (0.0694) loss_lansim: 0.0617 (0.0487) loss_contra: 0.0010 (0.0046) time: 2.8267 data: 0.0057 max mem: 31630 Epoch: [20] [1870/5278] eta: 2:43:06 lr: 2.636653028016296e-05 loss: 0.0717 (0.0699) loss_seg: 0.0711 (0.0694) loss_lansim: 0.0613 (0.0488) loss_contra: 0.0009 (0.0046) time: 2.8216 data: 0.0058 max mem: 31630 Epoch: [20] [1880/5278] eta: 2:42:36 lr: 2.636424170647777e-05 loss: 0.0705 (0.0699) loss_seg: 0.0700 (0.0694) loss_lansim: 0.0606 (0.0488) loss_contra: 0.0009 (0.0046) time: 2.8144 data: 0.0058 max mem: 31630 Epoch: [20] [1890/5278] eta: 2:42:06 lr: 2.6361953110718835e-05 loss: 0.0709 (0.0700) loss_seg: 0.0703 (0.0694) loss_lansim: 0.0606 (0.0489) loss_contra: 0.0008 (0.0046) time: 2.8080 data: 0.0058 max mem: 31630 Epoch: [20] [1900/5278] eta: 2:41:37 lr: 2.6359664492883796e-05 loss: 0.0681 (0.0699) loss_seg: 0.0675 (0.0694) loss_lansim: 0.0603 (0.0489) loss_contra: 0.0007 (0.0046) time: 2.8075 data: 0.0058 max mem: 31630 Epoch: [20] [1910/5278] eta: 2:41:07 lr: 2.6357375852970324e-05 loss: 0.0682 (0.0700) loss_seg: 0.0676 (0.0694) loss_lansim: 0.0602 (0.0490) loss_contra: 0.0007 (0.0045) time: 2.8070 data: 0.0059 max mem: 31630 Epoch: [20] [1920/5278] eta: 2:40:37 lr: 2.635508719097607e-05 loss: 0.0674 (0.0700) loss_seg: 0.0668 (0.0695) loss_lansim: 0.0599 (0.0490) loss_contra: 0.0007 (0.0045) time: 2.8082 data: 0.0059 max mem: 31630 Epoch: [20] [1930/5278] eta: 2:40:07 lr: 2.6352798506898686e-05 loss: 0.0677 (0.0700) loss_seg: 0.0672 (0.0695) loss_lansim: 0.0597 (0.0491) loss_contra: 0.0006 (0.0045) time: 2.8085 data: 0.0058 max mem: 31630 Epoch: [20] [1940/5278] eta: 2:39:37 lr: 2.635050980073583e-05 loss: 0.0671 (0.0700) loss_seg: 0.0664 (0.0695) loss_lansim: 0.0595 (0.0491) loss_contra: 0.0006 (0.0045) time: 2.8088 data: 0.0058 max mem: 31630 Epoch: [20] [1950/5278] eta: 2:39:07 lr: 2.6348221072485163e-05 loss: 0.0671 (0.0701) loss_seg: 0.0664 (0.0695) loss_lansim: 0.0595 (0.0492) loss_contra: 0.0006 (0.0045) time: 2.8030 data: 0.0057 max mem: 31630 Epoch: [20] [1960/5278] eta: 2:38:38 lr: 2.634593232214434e-05 loss: 0.0639 (0.0701) loss_seg: 0.0633 (0.0695) loss_lansim: 0.0595 (0.0492) loss_contra: 0.0006 (0.0045) time: 2.8075 data: 0.0057 max mem: 31630 Epoch: [20] [1970/5278] eta: 2:38:08 lr: 2.634364354971101e-05 loss: 0.0657 (0.0701) loss_seg: 0.0650 (0.0696) loss_lansim: 0.0595 (0.0493) loss_contra: 0.0006 (0.0045) time: 2.8015 data: 0.0057 max mem: 31630 Epoch: [20] [1980/5278] eta: 2:37:38 lr: 2.6341354755182828e-05 loss: 0.0639 (0.0701) loss_seg: 0.0633 (0.0696) loss_lansim: 0.0595 (0.0493) loss_contra: 0.0006 (0.0045) time: 2.8032 data: 0.0056 max mem: 31630 Epoch: [20] [1990/5278] eta: 2:37:08 lr: 2.633906593855745e-05 loss: 0.0620 (0.0701) loss_seg: 0.0615 (0.0696) loss_lansim: 0.0595 (0.0494) loss_contra: 0.0006 (0.0045) time: 2.8014 data: 0.0056 max mem: 31630 Epoch: [20] [2000/5278] eta: 2:36:38 lr: 2.6336777099832532e-05 loss: 0.0633 (0.0701) loss_seg: 0.0627 (0.0696) loss_lansim: 0.0595 (0.0494) loss_contra: 0.0006 (0.0045) time: 2.7998 data: 0.0055 max mem: 31630 Epoch: [20] [2010/5278] eta: 2:36:08 lr: 2.6334488239005722e-05 loss: 0.0614 (0.0700) loss_seg: 0.0608 (0.0695) loss_lansim: 0.0585 (0.0494) loss_contra: 0.0006 (0.0045) time: 2.8001 data: 0.0055 max mem: 31630 Epoch: [20] [2020/5278] eta: 2:35:39 lr: 2.6332199356074666e-05 loss: 0.0620 (0.0701) loss_seg: 0.0615 (0.0695) loss_lansim: 0.0580 (0.0495) loss_contra: 0.0006 (0.0045) time: 2.8016 data: 0.0055 max mem: 31630 Epoch: [20] [2030/5278] eta: 2:35:09 lr: 2.6329910451037026e-05 loss: 0.0614 (0.0701) loss_seg: 0.0608 (0.0695) loss_lansim: 0.0577 (0.0495) loss_contra: 0.0006 (0.0045) time: 2.8011 data: 0.0055 max mem: 31630 Epoch: [20] [2040/5278] eta: 2:34:39 lr: 2.6327621523890456e-05 loss: 0.0623 (0.0701) loss_seg: 0.0616 (0.0696) loss_lansim: 0.0569 (0.0495) loss_contra: 0.0007 (0.0045) time: 2.7990 data: 0.0055 max mem: 31630 Epoch: [20] [2050/5278] eta: 2:34:10 lr: 2.6325332574632587e-05 loss: 0.0630 (0.0701) loss_seg: 0.0625 (0.0696) loss_lansim: 0.0568 (0.0496) loss_contra: 0.0009 (0.0045) time: 2.8012 data: 0.0055 max mem: 31630 Epoch: [20] [2060/5278] eta: 2:33:40 lr: 2.632304360326109e-05 loss: 0.0651 (0.0702) loss_seg: 0.0643 (0.0696) loss_lansim: 0.0568 (0.0496) loss_contra: 0.0007 (0.0045) time: 2.7987 data: 0.0055 max mem: 31630 Epoch: [20] [2070/5278] eta: 2:33:10 lr: 2.6320754609773606e-05 loss: 0.0633 (0.0702) loss_seg: 0.0627 (0.0696) loss_lansim: 0.0564 (0.0496) loss_contra: 0.0007 (0.0045) time: 2.8023 data: 0.0055 max mem: 31630 Epoch: [20] [2080/5278] eta: 2:32:41 lr: 2.631846559416779e-05 loss: 0.0656 (0.0702) loss_seg: 0.0650 (0.0696) loss_lansim: 0.0564 (0.0497) loss_contra: 0.0009 (0.0045) time: 2.8023 data: 0.0055 max mem: 31630 Epoch: [20] [2090/5278] eta: 2:32:11 lr: 2.631617655644128e-05 loss: 0.0665 (0.0703) loss_seg: 0.0659 (0.0697) loss_lansim: 0.0564 (0.0497) loss_contra: 0.0009 (0.0045) time: 2.8036 data: 0.0056 max mem: 31630 Epoch: [20] [2100/5278] eta: 2:31:41 lr: 2.6313887496591727e-05 loss: 0.0677 (0.0703) loss_seg: 0.0672 (0.0698) loss_lansim: 0.0561 (0.0498) loss_contra: 0.0012 (0.0045) time: 2.8023 data: 0.0056 max mem: 31630 Epoch: [20] [2110/5278] eta: 2:31:12 lr: 2.631159841461679e-05 loss: 0.0675 (0.0703) loss_seg: 0.0669 (0.0697) loss_lansim: 0.0565 (0.0498) loss_contra: 0.0012 (0.0045) time: 2.8053 data: 0.0056 max mem: 31630 Epoch: [20] [2120/5278] eta: 2:30:42 lr: 2.6309309310514107e-05 loss: 0.0677 (0.0703) loss_seg: 0.0671 (0.0698) loss_lansim: 0.0565 (0.0498) loss_contra: 0.0014 (0.0045) time: 2.8017 data: 0.0056 max mem: 31630 Epoch: [20] [2130/5278] eta: 2:30:13 lr: 2.6307020184281324e-05 loss: 0.0677 (0.0703) loss_seg: 0.0671 (0.0697) loss_lansim: 0.0565 (0.0499) loss_contra: 0.0014 (0.0047) time: 2.8038 data: 0.0056 max mem: 31630 Epoch: [20] [2140/5278] eta: 2:29:44 lr: 2.6304731035916085e-05 loss: 0.0677 (0.0703) loss_seg: 0.0670 (0.0698) loss_lansim: 0.0567 (0.0499) loss_contra: 0.0014 (0.0047) time: 2.8056 data: 0.0056 max mem: 31630 Epoch: [20] [2150/5278] eta: 2:29:14 lr: 2.630244186541605e-05 loss: 0.0677 (0.0704) loss_seg: 0.0670 (0.0698) loss_lansim: 0.0565 (0.0499) loss_contra: 0.0014 (0.0048) time: 2.8062 data: 0.0056 max mem: 31630 Epoch: [20] [2160/5278] eta: 2:28:44 lr: 2.6300152672778854e-05 loss: 0.0677 (0.0704) loss_seg: 0.0670 (0.0698) loss_lansim: 0.0564 (0.0500) loss_contra: 0.0016 (0.0048) time: 2.8001 data: 0.0056 max mem: 31630 Epoch: [20] [2170/5278] eta: 2:28:13 lr: 2.6297863458002136e-05 loss: 0.0677 (0.0704) loss_seg: 0.0671 (0.0698) loss_lansim: 0.0573 (0.0500) loss_contra: 0.0014 (0.0048) time: 2.7909 data: 0.0056 max mem: 31630 Epoch: [20] [2180/5278] eta: 2:27:43 lr: 2.6295574221083553e-05 loss: 0.0684 (0.0704) loss_seg: 0.0673 (0.0698) loss_lansim: 0.0566 (0.0501) loss_contra: 0.0012 (0.0047) time: 2.7823 data: 0.0056 max mem: 31630 Epoch: [20] [2190/5278] eta: 2:27:13 lr: 2.6293284962020737e-05 loss: 0.0699 (0.0704) loss_seg: 0.0694 (0.0699) loss_lansim: 0.0573 (0.0501) loss_contra: 0.0012 (0.0047) time: 2.7774 data: 0.0056 max mem: 31630 Epoch: [20] [2200/5278] eta: 2:26:42 lr: 2.6290995680811343e-05 loss: 0.0684 (0.0704) loss_seg: 0.0671 (0.0698) loss_lansim: 0.0571 (0.0501) loss_contra: 0.0010 (0.0047) time: 2.7722 data: 0.0055 max mem: 31630 Epoch: [20] [2210/5278] eta: 2:26:12 lr: 2.6288706377453014e-05 loss: 0.0694 (0.0704) loss_seg: 0.0678 (0.0699) loss_lansim: 0.0566 (0.0502) loss_contra: 0.0009 (0.0047) time: 2.7619 data: 0.0055 max mem: 31630 Epoch: [20] [2220/5278] eta: 2:25:42 lr: 2.628641705194338e-05 loss: 0.0684 (0.0704) loss_seg: 0.0672 (0.0699) loss_lansim: 0.0563 (0.0502) loss_contra: 0.0007 (0.0047) time: 2.7586 data: 0.0055 max mem: 31630 Epoch: [20] [2230/5278] eta: 2:25:11 lr: 2.628412770428009e-05 loss: 0.0677 (0.0704) loss_seg: 0.0671 (0.0698) loss_lansim: 0.0574 (0.0502) loss_contra: 0.0006 (0.0047) time: 2.7499 data: 0.0055 max mem: 31630 Epoch: [20] [2240/5278] eta: 2:24:41 lr: 2.628183833446079e-05 loss: 0.0652 (0.0703) loss_seg: 0.0646 (0.0698) loss_lansim: 0.0574 (0.0503) loss_contra: 0.0006 (0.0047) time: 2.7420 data: 0.0055 max mem: 31630 Epoch: [20] [2250/5278] eta: 2:24:11 lr: 2.6279548942483124e-05 loss: 0.0637 (0.0703) loss_seg: 0.0631 (0.0698) loss_lansim: 0.0579 (0.0503) loss_contra: 0.0006 (0.0047) time: 2.7330 data: 0.0055 max mem: 31630 Epoch: [20] [2260/5278] eta: 2:23:41 lr: 2.6277259528344717e-05 loss: 0.0637 (0.0703) loss_seg: 0.0631 (0.0697) loss_lansim: 0.0580 (0.0503) loss_contra: 0.0005 (0.0047) time: 2.7344 data: 0.0055 max mem: 31630 Epoch: [20] [2270/5278] eta: 2:23:10 lr: 2.6274970092043218e-05 loss: 0.0634 (0.0703) loss_seg: 0.0628 (0.0697) loss_lansim: 0.0574 (0.0504) loss_contra: 0.0005 (0.0047) time: 2.7322 data: 0.0055 max mem: 31630 Epoch: [20] [2280/5278] eta: 2:22:40 lr: 2.627268063357627e-05 loss: 0.0631 (0.0703) loss_seg: 0.0626 (0.0698) loss_lansim: 0.0571 (0.0504) loss_contra: 0.0005 (0.0047) time: 2.7345 data: 0.0055 max mem: 31630 Epoch: [20] [2290/5278] eta: 2:22:10 lr: 2.627039115294151e-05 loss: 0.0629 (0.0704) loss_seg: 0.0622 (0.0698) loss_lansim: 0.0570 (0.0504) loss_contra: 0.0005 (0.0047) time: 2.7324 data: 0.0055 max mem: 31630 Epoch: [20] [2300/5278] eta: 2:21:40 lr: 2.6268101650136574e-05 loss: 0.0631 (0.0703) loss_seg: 0.0626 (0.0698) loss_lansim: 0.0572 (0.0505) loss_contra: 0.0005 (0.0047) time: 2.7347 data: 0.0055 max mem: 31630 Epoch: [20] [2310/5278] eta: 2:21:10 lr: 2.6265812125159094e-05 loss: 0.0631 (0.0703) loss_seg: 0.0626 (0.0698) loss_lansim: 0.0570 (0.0505) loss_contra: 0.0006 (0.0047) time: 2.7321 data: 0.0055 max mem: 31630 Epoch: [20] [2320/5278] eta: 2:20:40 lr: 2.6263522578006722e-05 loss: 0.0634 (0.0703) loss_seg: 0.0628 (0.0697) loss_lansim: 0.0572 (0.0505) loss_contra: 0.0006 (0.0047) time: 2.7313 data: 0.0055 max mem: 31630 Epoch: [20] [2330/5278] eta: 2:20:09 lr: 2.62612330086771e-05 loss: 0.0630 (0.0702) loss_seg: 0.0623 (0.0697) loss_lansim: 0.0572 (0.0505) loss_contra: 0.0006 (0.0046) time: 2.7299 data: 0.0055 max mem: 31630 Epoch: [20] [2340/5278] eta: 2:19:39 lr: 2.625894341716784e-05 loss: 0.0634 (0.0702) loss_seg: 0.0628 (0.0697) loss_lansim: 0.0572 (0.0506) loss_contra: 0.0006 (0.0046) time: 2.7285 data: 0.0055 max mem: 31630 Epoch: [20] [2350/5278] eta: 2:19:09 lr: 2.6256653803476596e-05 loss: 0.0651 (0.0703) loss_seg: 0.0646 (0.0697) loss_lansim: 0.0572 (0.0506) loss_contra: 0.0006 (0.0046) time: 2.7331 data: 0.0055 max mem: 31630 Epoch: [20] [2360/5278] eta: 2:18:39 lr: 2.6254364167601e-05 loss: 0.0641 (0.0703) loss_seg: 0.0635 (0.0697) loss_lansim: 0.0572 (0.0507) loss_contra: 0.0006 (0.0046) time: 2.7273 data: 0.0054 max mem: 31630 Epoch: [20] [2370/5278] eta: 2:18:09 lr: 2.6252074509538688e-05 loss: 0.0647 (0.0702) loss_seg: 0.0642 (0.0697) loss_lansim: 0.0572 (0.0507) loss_contra: 0.0006 (0.0046) time: 2.7320 data: 0.0054 max mem: 31630 Epoch: [20] [2380/5278] eta: 2:17:39 lr: 2.6249784829287296e-05 loss: 0.0641 (0.0703) loss_seg: 0.0635 (0.0697) loss_lansim: 0.0574 (0.0507) loss_contra: 0.0005 (0.0046) time: 2.7273 data: 0.0054 max mem: 31630 Epoch: [20] [2390/5278] eta: 2:17:09 lr: 2.624749512684445e-05 loss: 0.0632 (0.0703) loss_seg: 0.0627 (0.0697) loss_lansim: 0.0574 (0.0508) loss_contra: 0.0005 (0.0046) time: 2.7263 data: 0.0054 max mem: 31630 Epoch: [20] [2400/5278] eta: 2:16:39 lr: 2.6245205402207796e-05 loss: 0.0632 (0.0702) loss_seg: 0.0626 (0.0697) loss_lansim: 0.0581 (0.0508) loss_contra: 0.0005 (0.0046) time: 2.7230 data: 0.0054 max mem: 31630 Epoch: [20] [2410/5278] eta: 2:16:08 lr: 2.6242915655374965e-05 loss: 0.0632 (0.0703) loss_seg: 0.0627 (0.0698) loss_lansim: 0.0594 (0.0508) loss_contra: 0.0004 (0.0046) time: 2.7218 data: 0.0054 max mem: 31630 Epoch: [20] [2420/5278] eta: 2:15:39 lr: 2.624062588634358e-05 loss: 0.0635 (0.0703) loss_seg: 0.0627 (0.0697) loss_lansim: 0.0592 (0.0509) loss_contra: 0.0004 (0.0046) time: 2.7216 data: 0.0054 max mem: 31630 Epoch: [20] [2430/5278] eta: 2:15:09 lr: 2.623833609511128e-05 loss: 0.0638 (0.0703) loss_seg: 0.0632 (0.0697) loss_lansim: 0.0591 (0.0509) loss_contra: 0.0004 (0.0046) time: 2.7211 data: 0.0054 max mem: 31630 Epoch: [20] [2440/5278] eta: 2:14:39 lr: 2.6236046281675704e-05 loss: 0.0632 (0.0702) loss_seg: 0.0626 (0.0697) loss_lansim: 0.0591 (0.0509) loss_contra: 0.0003 (0.0046) time: 2.7205 data: 0.0054 max mem: 31630 Epoch: [20] [2450/5278] eta: 2:14:09 lr: 2.6233756446034468e-05 loss: 0.0632 (0.0703) loss_seg: 0.0626 (0.0697) loss_lansim: 0.0591 (0.0510) loss_contra: 0.0003 (0.0045) time: 2.7169 data: 0.0054 max mem: 31630 Epoch: [20] [2460/5278] eta: 2:13:39 lr: 2.6231466588185223e-05 loss: 0.0632 (0.0703) loss_seg: 0.0626 (0.0697) loss_lansim: 0.0591 (0.0510) loss_contra: 0.0003 (0.0046) time: 2.7182 data: 0.0054 max mem: 31630 Epoch: [20] [2470/5278] eta: 2:13:09 lr: 2.622917670812558e-05 loss: 0.0626 (0.0702) loss_seg: 0.0619 (0.0697) loss_lansim: 0.0590 (0.0510) loss_contra: 0.0003 (0.0046) time: 2.7198 data: 0.0054 max mem: 31630 Epoch: [20] [2480/5278] eta: 2:12:39 lr: 2.622688680585318e-05 loss: 0.0626 (0.0702) loss_seg: 0.0619 (0.0697) loss_lansim: 0.0590 (0.0511) loss_contra: 0.0003 (0.0045) time: 2.7213 data: 0.0054 max mem: 31630 Epoch: [20] [2490/5278] eta: 2:12:10 lr: 2.6224596881365648e-05 loss: 0.0635 (0.0702) loss_seg: 0.0627 (0.0697) loss_lansim: 0.0590 (0.0511) loss_contra: 0.0003 (0.0045) time: 2.7210 data: 0.0055 max mem: 31630 Epoch: [20] [2500/5278] eta: 2:11:40 lr: 2.6222306934660624e-05 loss: 0.0635 (0.0702) loss_seg: 0.0627 (0.0697) loss_lansim: 0.0586 (0.0511) loss_contra: 0.0003 (0.0045) time: 2.7208 data: 0.0055 max mem: 31630 Epoch: [20] [2510/5278] eta: 2:11:10 lr: 2.6220016965735718e-05 loss: 0.0616 (0.0702) loss_seg: 0.0610 (0.0696) loss_lansim: 0.0583 (0.0512) loss_contra: 0.0003 (0.0045) time: 2.7273 data: 0.0055 max mem: 31630 Epoch: [20] [2520/5278] eta: 2:10:41 lr: 2.621772697458857e-05 loss: 0.0616 (0.0701) loss_seg: 0.0610 (0.0696) loss_lansim: 0.0582 (0.0512) loss_contra: 0.0003 (0.0045) time: 2.7259 data: 0.0055 max mem: 31630 Epoch: [20] [2530/5278] eta: 2:10:11 lr: 2.6215436961216805e-05 loss: 0.0626 (0.0702) loss_seg: 0.0619 (0.0696) loss_lansim: 0.0582 (0.0512) loss_contra: 0.0003 (0.0045) time: 2.7289 data: 0.0055 max mem: 31630 Epoch: [20] [2540/5278] eta: 2:09:41 lr: 2.6213146925618052e-05 loss: 0.0626 (0.0702) loss_seg: 0.0619 (0.0697) loss_lansim: 0.0582 (0.0512) loss_contra: 0.0004 (0.0045) time: 2.7269 data: 0.0055 max mem: 31630 Epoch: [20] [2550/5278] eta: 2:09:11 lr: 2.621085686778994e-05 loss: 0.0635 (0.0702) loss_seg: 0.0630 (0.0697) loss_lansim: 0.0582 (0.0513) loss_contra: 0.0004 (0.0045) time: 2.7268 data: 0.0055 max mem: 31630 Epoch: [20] [2560/5278] eta: 2:08:42 lr: 2.6208566787730082e-05 loss: 0.0642 (0.0703) loss_seg: 0.0635 (0.0697) loss_lansim: 0.0581 (0.0513) loss_contra: 0.0003 (0.0045) time: 2.7276 data: 0.0055 max mem: 31630 Epoch: [20] [2570/5278] eta: 2:08:12 lr: 2.620627668543612e-05 loss: 0.0627 (0.0702) loss_seg: 0.0620 (0.0697) loss_lansim: 0.0581 (0.0513) loss_contra: 0.0004 (0.0045) time: 2.7249 data: 0.0055 max mem: 31630 Epoch: [20] [2580/5278] eta: 2:07:42 lr: 2.6203986560905675e-05 loss: 0.0627 (0.0702) loss_seg: 0.0620 (0.0697) loss_lansim: 0.0575 (0.0513) loss_contra: 0.0004 (0.0045) time: 2.7217 data: 0.0055 max mem: 31630 Epoch: [20] [2590/5278] eta: 2:07:12 lr: 2.6201696414136362e-05 loss: 0.0626 (0.0702) loss_seg: 0.0619 (0.0696) loss_lansim: 0.0571 (0.0513) loss_contra: 0.0005 (0.0045) time: 2.7225 data: 0.0054 max mem: 31630 Epoch: [20] [2600/5278] eta: 2:06:43 lr: 2.6199406245125817e-05 loss: 0.0628 (0.0702) loss_seg: 0.0622 (0.0697) loss_lansim: 0.0571 (0.0514) loss_contra: 0.0005 (0.0045) time: 2.7231 data: 0.0054 max mem: 31630 Epoch: [20] [2610/5278] eta: 2:06:14 lr: 2.6197116053871655e-05 loss: 0.0671 (0.0704) loss_seg: 0.0665 (0.0698) loss_lansim: 0.0572 (0.0514) loss_contra: 0.0005 (0.0046) time: 2.7230 data: 0.0054 max mem: 31630 Epoch: [20] [2620/5278] eta: 2:05:44 lr: 2.619482584037151e-05 loss: 0.0671 (0.0704) loss_seg: 0.0665 (0.0698) loss_lansim: 0.0581 (0.0514) loss_contra: 0.0007 (0.0046) time: 2.7219 data: 0.0054 max mem: 31630 Epoch: [20] [2630/5278] eta: 2:05:15 lr: 2.6192535604622993e-05 loss: 0.0672 (0.0704) loss_seg: 0.0666 (0.0699) loss_lansim: 0.0582 (0.0515) loss_contra: 0.0008 (0.0046) time: 2.7245 data: 0.0054 max mem: 31630 Epoch: [20] [2640/5278] eta: 2:04:45 lr: 2.6190245346623733e-05 loss: 0.0678 (0.0705) loss_seg: 0.0672 (0.0699) loss_lansim: 0.0583 (0.0515) loss_contra: 0.0009 (0.0047) time: 2.7279 data: 0.0054 max mem: 31630 Epoch: [20] [2650/5278] eta: 2:04:16 lr: 2.618795506637135e-05 loss: 0.0678 (0.0705) loss_seg: 0.0672 (0.0699) loss_lansim: 0.0581 (0.0516) loss_contra: 0.0011 (0.0047) time: 2.7319 data: 0.0055 max mem: 31630 Epoch: [20] [2660/5278] eta: 2:03:47 lr: 2.618566476386347e-05 loss: 0.0657 (0.0705) loss_seg: 0.0650 (0.0699) loss_lansim: 0.0583 (0.0516) loss_contra: 0.0014 (0.0047) time: 2.7358 data: 0.0055 max mem: 31630 Epoch: [20] [2670/5278] eta: 2:03:18 lr: 2.6183374439097702e-05 loss: 0.0660 (0.0705) loss_seg: 0.0654 (0.0699) loss_lansim: 0.0586 (0.0516) loss_contra: 0.0011 (0.0048) time: 2.7337 data: 0.0055 max mem: 31630 Epoch: [20] [2680/5278] eta: 2:02:49 lr: 2.6181084092071677e-05 loss: 0.0658 (0.0705) loss_seg: 0.0651 (0.0700) loss_lansim: 0.0606 (0.0517) loss_contra: 0.0011 (0.0048) time: 2.7421 data: 0.0056 max mem: 31630 Epoch: [20] [2690/5278] eta: 2:02:19 lr: 2.6178793722783014e-05 loss: 0.0709 (0.0706) loss_seg: 0.0703 (0.0700) loss_lansim: 0.0612 (0.0517) loss_contra: 0.0010 (0.0048) time: 2.7426 data: 0.0057 max mem: 31630 Epoch: [20] [2700/5278] eta: 2:01:49 lr: 2.6176503331229324e-05 loss: 0.0687 (0.0706) loss_seg: 0.0681 (0.0700) loss_lansim: 0.0617 (0.0517) loss_contra: 0.0010 (0.0048) time: 2.7401 data: 0.0057 max mem: 31630 Epoch: [20] [2710/5278] eta: 2:01:20 lr: 2.6174212917408243e-05 loss: 0.0658 (0.0706) loss_seg: 0.0651 (0.0700) loss_lansim: 0.0613 (0.0518) loss_contra: 0.0010 (0.0048) time: 2.7314 data: 0.0057 max mem: 31630 Epoch: [20] [2720/5278] eta: 2:00:50 lr: 2.6171922481317368e-05 loss: 0.0657 (0.0706) loss_seg: 0.0650 (0.0700) loss_lansim: 0.0611 (0.0518) loss_contra: 0.0007 (0.0048) time: 2.7276 data: 0.0057 max mem: 31630 Epoch: [20] [2730/5278] eta: 2:00:20 lr: 2.6169632022954334e-05 loss: 0.0638 (0.0705) loss_seg: 0.0633 (0.0700) loss_lansim: 0.0610 (0.0519) loss_contra: 0.0007 (0.0048) time: 2.7198 data: 0.0057 max mem: 31630 Epoch: [20] [2740/5278] eta: 1:59:50 lr: 2.616734154231675e-05 loss: 0.0638 (0.0706) loss_seg: 0.0633 (0.0700) loss_lansim: 0.0606 (0.0519) loss_contra: 0.0006 (0.0048) time: 2.7155 data: 0.0056 max mem: 31630 Epoch: [20] [2750/5278] eta: 1:59:21 lr: 2.6165051039402232e-05 loss: 0.0643 (0.0706) loss_seg: 0.0637 (0.0700) loss_lansim: 0.0608 (0.0519) loss_contra: 0.0004 (0.0048) time: 2.7089 data: 0.0056 max mem: 31630 Epoch: [20] [2760/5278] eta: 1:58:51 lr: 2.61627605142084e-05 loss: 0.0643 (0.0706) loss_seg: 0.0637 (0.0700) loss_lansim: 0.0604 (0.0520) loss_contra: 0.0004 (0.0048) time: 2.6981 data: 0.0055 max mem: 31630 Epoch: [20] [2770/5278] eta: 1:58:22 lr: 2.6160469966732872e-05 loss: 0.0643 (0.0705) loss_seg: 0.0637 (0.0700) loss_lansim: 0.0605 (0.0520) loss_contra: 0.0004 (0.0048) time: 2.6998 data: 0.0055 max mem: 31630 Epoch: [20] [2780/5278] eta: 1:57:52 lr: 2.615817939697326e-05 loss: 0.0649 (0.0705) loss_seg: 0.0642 (0.0700) loss_lansim: 0.0603 (0.0520) loss_contra: 0.0004 (0.0048) time: 2.6921 data: 0.0054 max mem: 31630 Epoch: [20] [2790/5278] eta: 1:57:22 lr: 2.6155888804927182e-05 loss: 0.0636 (0.0705) loss_seg: 0.0630 (0.0700) loss_lansim: 0.0612 (0.0521) loss_contra: 0.0003 (0.0048) time: 2.6883 data: 0.0053 max mem: 31630 Epoch: [20] [2800/5278] eta: 1:56:53 lr: 2.615359819059225e-05 loss: 0.0613 (0.0705) loss_seg: 0.0606 (0.0699) loss_lansim: 0.0615 (0.0521) loss_contra: 0.0003 (0.0048) time: 2.6875 data: 0.0053 max mem: 31630 Epoch: [20] [2810/5278] eta: 1:56:23 lr: 2.615130755396607e-05 loss: 0.0632 (0.0705) loss_seg: 0.0627 (0.0699) loss_lansim: 0.0622 (0.0522) loss_contra: 0.0004 (0.0048) time: 2.6881 data: 0.0053 max mem: 31630 Epoch: [20] [2820/5278] eta: 1:55:54 lr: 2.6149016895046275e-05 loss: 0.0642 (0.0706) loss_seg: 0.0636 (0.0700) loss_lansim: 0.0621 (0.0522) loss_contra: 0.0004 (0.0048) time: 2.6905 data: 0.0053 max mem: 31630 Epoch: [20] [2830/5278] eta: 1:55:24 lr: 2.6146726213830465e-05 loss: 0.0643 (0.0706) loss_seg: 0.0637 (0.0700) loss_lansim: 0.0618 (0.0522) loss_contra: 0.0004 (0.0048) time: 2.6871 data: 0.0053 max mem: 31630 Epoch: [20] [2840/5278] eta: 1:54:55 lr: 2.6144435510316252e-05 loss: 0.0649 (0.0706) loss_seg: 0.0642 (0.0700) loss_lansim: 0.0621 (0.0522) loss_contra: 0.0004 (0.0048) time: 2.6886 data: 0.0054 max mem: 31630 Epoch: [20] [2850/5278] eta: 1:54:25 lr: 2.614214478450125e-05 loss: 0.0632 (0.0705) loss_seg: 0.0626 (0.0700) loss_lansim: 0.0622 (0.0523) loss_contra: 0.0005 (0.0048) time: 2.6849 data: 0.0054 max mem: 31630 Epoch: [20] [2860/5278] eta: 1:53:55 lr: 2.613985403638307e-05 loss: 0.0632 (0.0705) loss_seg: 0.0626 (0.0700) loss_lansim: 0.0626 (0.0523) loss_contra: 0.0005 (0.0048) time: 2.6883 data: 0.0054 max mem: 31630 Epoch: [20] [2870/5278] eta: 1:53:26 lr: 2.613756326595933e-05 loss: 0.0613 (0.0705) loss_seg: 0.0606 (0.0700) loss_lansim: 0.0632 (0.0524) loss_contra: 0.0005 (0.0048) time: 2.6837 data: 0.0055 max mem: 31630 Epoch: [20] [2880/5278] eta: 1:52:57 lr: 2.6135272473227628e-05 loss: 0.0594 (0.0705) loss_seg: 0.0588 (0.0700) loss_lansim: 0.0638 (0.0524) loss_contra: 0.0004 (0.0047) time: 2.6839 data: 0.0055 max mem: 31630 Epoch: [20] [2890/5278] eta: 1:52:27 lr: 2.613298165818559e-05 loss: 0.0613 (0.0706) loss_seg: 0.0606 (0.0700) loss_lansim: 0.0636 (0.0525) loss_contra: 0.0004 (0.0047) time: 2.6838 data: 0.0055 max mem: 31630 Epoch: [20] [2900/5278] eta: 1:51:58 lr: 2.613069082083081e-05 loss: 0.0632 (0.0706) loss_seg: 0.0626 (0.0700) loss_lansim: 0.0639 (0.0525) loss_contra: 0.0004 (0.0047) time: 2.6806 data: 0.0055 max mem: 31630 Epoch: [20] [2910/5278] eta: 1:51:28 lr: 2.612839996116091e-05 loss: 0.0632 (0.0706) loss_seg: 0.0626 (0.0700) loss_lansim: 0.0639 (0.0525) loss_contra: 0.0005 (0.0047) time: 2.6780 data: 0.0055 max mem: 31630 Epoch: [20] [2920/5278] eta: 1:50:58 lr: 2.612610907917349e-05 loss: 0.0600 (0.0706) loss_seg: 0.0592 (0.0700) loss_lansim: 0.0636 (0.0526) loss_contra: 0.0005 (0.0047) time: 2.6733 data: 0.0055 max mem: 31630 Epoch: [20] [2930/5278] eta: 1:50:29 lr: 2.6123818174866155e-05 loss: 0.0594 (0.0705) loss_seg: 0.0587 (0.0700) loss_lansim: 0.0639 (0.0526) loss_contra: 0.0005 (0.0050) time: 2.6736 data: 0.0055 max mem: 31630 Epoch: [20] [2940/5278] eta: 1:49:59 lr: 2.612152724823652e-05 loss: 0.0607 (0.0705) loss_seg: 0.0599 (0.0700) loss_lansim: 0.0641 (0.0526) loss_contra: 0.0005 (0.0050) time: 2.6707 data: 0.0055 max mem: 31630 Epoch: [20] [2950/5278] eta: 1:49:30 lr: 2.6119236299282196e-05 loss: 0.0629 (0.0706) loss_seg: 0.0623 (0.0700) loss_lansim: 0.0641 (0.0527) loss_contra: 0.0006 (0.0050) time: 2.6730 data: 0.0055 max mem: 31630 Epoch: [20] [2960/5278] eta: 1:49:01 lr: 2.6116945328000787e-05 loss: 0.0614 (0.0706) loss_seg: 0.0606 (0.0700) loss_lansim: 0.0641 (0.0527) loss_contra: 0.0006 (0.0050) time: 2.6714 data: 0.0055 max mem: 31630 Epoch: [20] [2970/5278] eta: 1:48:31 lr: 2.611465433438989e-05 loss: 0.0637 (0.0706) loss_seg: 0.0632 (0.0700) loss_lansim: 0.0641 (0.0528) loss_contra: 0.0006 (0.0050) time: 2.6738 data: 0.0055 max mem: 31630 Epoch: [20] [2980/5278] eta: 1:48:02 lr: 2.611236331844712e-05 loss: 0.0645 (0.0706) loss_seg: 0.0639 (0.0700) loss_lansim: 0.0625 (0.0528) loss_contra: 0.0007 (0.0050) time: 2.6686 data: 0.0054 max mem: 31630 Epoch: [20] [2990/5278] eta: 1:47:33 lr: 2.611007228017008e-05 loss: 0.0640 (0.0706) loss_seg: 0.0633 (0.0700) loss_lansim: 0.0635 (0.0528) loss_contra: 0.0007 (0.0050) time: 2.6735 data: 0.0054 max mem: 31630 Epoch: [20] [3000/5278] eta: 1:47:04 lr: 2.6107781219556377e-05 loss: 0.0620 (0.0705) loss_seg: 0.0614 (0.0700) loss_lansim: 0.0627 (0.0529) loss_contra: 0.0007 (0.0050) time: 2.6737 data: 0.0053 max mem: 31630 Epoch: [20] [3010/5278] eta: 1:46:34 lr: 2.6105490136603604e-05 loss: 0.0620 (0.0706) loss_seg: 0.0614 (0.0700) loss_lansim: 0.0629 (0.0529) loss_contra: 0.0008 (0.0050) time: 2.6786 data: 0.0053 max mem: 31630 Epoch: [20] [3020/5278] eta: 1:46:05 lr: 2.6103199031309382e-05 loss: 0.0656 (0.0706) loss_seg: 0.0650 (0.0700) loss_lansim: 0.0636 (0.0529) loss_contra: 0.0007 (0.0050) time: 2.6788 data: 0.0053 max mem: 31630 Epoch: [20] [3030/5278] eta: 1:45:36 lr: 2.61009079036713e-05 loss: 0.0656 (0.0706) loss_seg: 0.0650 (0.0701) loss_lansim: 0.0636 (0.0530) loss_contra: 0.0007 (0.0050) time: 2.6799 data: 0.0053 max mem: 31630 Epoch: [20] [3040/5278] eta: 1:45:06 lr: 2.609861675368697e-05 loss: 0.0658 (0.0708) loss_seg: 0.0651 (0.0702) loss_lansim: 0.0636 (0.0530) loss_contra: 0.0007 (0.0050) time: 2.6794 data: 0.0053 max mem: 31630 Epoch: [20] [3050/5278] eta: 1:44:37 lr: 2.6096325581353994e-05 loss: 0.0628 (0.0707) loss_seg: 0.0622 (0.0701) loss_lansim: 0.0638 (0.0531) loss_contra: 0.0007 (0.0050) time: 2.6790 data: 0.0053 max mem: 31630 Epoch: [20] [3060/5278] eta: 1:44:08 lr: 2.6094034386669962e-05 loss: 0.0642 (0.0707) loss_seg: 0.0635 (0.0702) loss_lansim: 0.0636 (0.0531) loss_contra: 0.0006 (0.0049) time: 2.6813 data: 0.0053 max mem: 31630 Epoch: [20] [3070/5278] eta: 1:43:39 lr: 2.6091743169632494e-05 loss: 0.0638 (0.0707) loss_seg: 0.0632 (0.0701) loss_lansim: 0.0632 (0.0531) loss_contra: 0.0007 (0.0050) time: 2.6771 data: 0.0053 max mem: 31630 Epoch: [20] [3080/5278] eta: 1:43:10 lr: 2.608945193023918e-05 loss: 0.0627 (0.0707) loss_seg: 0.0621 (0.0701) loss_lansim: 0.0636 (0.0532) loss_contra: 0.0007 (0.0050) time: 2.6809 data: 0.0053 max mem: 31630 Epoch: [20] [3090/5278] eta: 1:42:40 lr: 2.6087160668487615e-05 loss: 0.0625 (0.0707) loss_seg: 0.0619 (0.0701) loss_lansim: 0.0633 (0.0532) loss_contra: 0.0007 (0.0050) time: 2.6736 data: 0.0053 max mem: 31630 Epoch: [20] [3100/5278] eta: 1:42:11 lr: 2.6084869384375403e-05 loss: 0.0639 (0.0707) loss_seg: 0.0633 (0.0701) loss_lansim: 0.0633 (0.0532) loss_contra: 0.0006 (0.0050) time: 2.6770 data: 0.0053 max mem: 31630 Epoch: [20] [3110/5278] eta: 1:41:42 lr: 2.608257807790015e-05 loss: 0.0638 (0.0707) loss_seg: 0.0632 (0.0701) loss_lansim: 0.0636 (0.0533) loss_contra: 0.0005 (0.0050) time: 2.6726 data: 0.0053 max mem: 31630 Epoch: [20] [3120/5278] eta: 1:41:13 lr: 2.608028674905945e-05 loss: 0.0625 (0.0707) loss_seg: 0.0619 (0.0701) loss_lansim: 0.0637 (0.0533) loss_contra: 0.0007 (0.0050) time: 2.6744 data: 0.0053 max mem: 31630 Epoch: [20] [3130/5278] eta: 1:40:44 lr: 2.60779953978509e-05 loss: 0.0638 (0.0707) loss_seg: 0.0632 (0.0702) loss_lansim: 0.0644 (0.0534) loss_contra: 0.0007 (0.0050) time: 2.6708 data: 0.0053 max mem: 31630 Epoch: [20] [3140/5278] eta: 1:40:15 lr: 2.60757040242721e-05 loss: 0.0625 (0.0707) loss_seg: 0.0619 (0.0701) loss_lansim: 0.0644 (0.0534) loss_contra: 0.0006 (0.0050) time: 2.6710 data: 0.0053 max mem: 31630 Epoch: [20] [3150/5278] eta: 1:39:45 lr: 2.6073412628320647e-05 loss: 0.0638 (0.0707) loss_seg: 0.0632 (0.0701) loss_lansim: 0.0638 (0.0535) loss_contra: 0.0006 (0.0050) time: 2.6700 data: 0.0053 max mem: 31630 Epoch: [20] [3160/5278] eta: 1:39:16 lr: 2.6071121209994144e-05 loss: 0.0639 (0.0707) loss_seg: 0.0633 (0.0701) loss_lansim: 0.0637 (0.0535) loss_contra: 0.0005 (0.0050) time: 2.6639 data: 0.0053 max mem: 31630 Epoch: [20] [3170/5278] eta: 1:38:47 lr: 2.606882976929017e-05 loss: 0.0639 (0.0707) loss_seg: 0.0633 (0.0701) loss_lansim: 0.0638 (0.0535) loss_contra: 0.0006 (0.0050) time: 2.6697 data: 0.0053 max mem: 31630 Epoch: [20] [3180/5278] eta: 1:38:18 lr: 2.6066538306206333e-05 loss: 0.0639 (0.0707) loss_seg: 0.0633 (0.0701) loss_lansim: 0.0638 (0.0535) loss_contra: 0.0005 (0.0050) time: 2.6675 data: 0.0053 max mem: 31630 Epoch: [20] [3190/5278] eta: 1:37:49 lr: 2.6064246820740234e-05 loss: 0.0652 (0.0707) loss_seg: 0.0644 (0.0701) loss_lansim: 0.0639 (0.0536) loss_contra: 0.0005 (0.0050) time: 2.6712 data: 0.0053 max mem: 31630 Epoch: [20] [3200/5278] eta: 1:37:20 lr: 2.6061955312889457e-05 loss: 0.0659 (0.0708) loss_seg: 0.0645 (0.0702) loss_lansim: 0.0638 (0.0536) loss_contra: 0.0005 (0.0050) time: 2.6648 data: 0.0053 max mem: 31630 Epoch: [20] [3210/5278] eta: 1:36:51 lr: 2.6059663782651605e-05 loss: 0.0652 (0.0708) loss_seg: 0.0644 (0.0702) loss_lansim: 0.0634 (0.0536) loss_contra: 0.0006 (0.0050) time: 2.6663 data: 0.0053 max mem: 31630 Epoch: [20] [3220/5278] eta: 1:36:22 lr: 2.6057372230024264e-05 loss: 0.0659 (0.0708) loss_seg: 0.0644 (0.0702) loss_lansim: 0.0634 (0.0537) loss_contra: 0.0006 (0.0050) time: 2.6639 data: 0.0053 max mem: 31630 Epoch: [20] [3230/5278] eta: 1:35:53 lr: 2.605508065500503e-05 loss: 0.0649 (0.0708) loss_seg: 0.0641 (0.0702) loss_lansim: 0.0628 (0.0537) loss_contra: 0.0006 (0.0050) time: 2.6653 data: 0.0053 max mem: 31630 Epoch: [20] [3240/5278] eta: 1:35:24 lr: 2.6052789057591497e-05 loss: 0.0668 (0.0708) loss_seg: 0.0662 (0.0702) loss_lansim: 0.0628 (0.0537) loss_contra: 0.0007 (0.0050) time: 2.6653 data: 0.0054 max mem: 31630 Epoch: [20] [3250/5278] eta: 1:34:55 lr: 2.6050497437781263e-05 loss: 0.0672 (0.0708) loss_seg: 0.0664 (0.0702) loss_lansim: 0.0628 (0.0538) loss_contra: 0.0007 (0.0049) time: 2.6623 data: 0.0054 max mem: 31630 Epoch: [20] [3260/5278] eta: 1:34:26 lr: 2.604820579557191e-05 loss: 0.0668 (0.0707) loss_seg: 0.0662 (0.0702) loss_lansim: 0.0628 (0.0538) loss_contra: 0.0008 (0.0050) time: 2.6678 data: 0.0054 max mem: 31630 Epoch: [20] [3270/5278] eta: 1:33:57 lr: 2.6045914130961037e-05 loss: 0.0669 (0.0708) loss_seg: 0.0663 (0.0702) loss_lansim: 0.0628 (0.0538) loss_contra: 0.0007 (0.0049) time: 2.6617 data: 0.0054 max mem: 31630 Epoch: [20] [3280/5278] eta: 1:33:28 lr: 2.6043622443946227e-05 loss: 0.0672 (0.0707) loss_seg: 0.0664 (0.0701) loss_lansim: 0.0635 (0.0539) loss_contra: 0.0008 (0.0049) time: 2.6649 data: 0.0055 max mem: 31630 Epoch: [20] [3290/5278] eta: 1:32:59 lr: 2.604133073452508e-05 loss: 0.0644 (0.0707) loss_seg: 0.0639 (0.0701) loss_lansim: 0.0635 (0.0539) loss_contra: 0.0008 (0.0049) time: 2.6636 data: 0.0055 max mem: 31630 Epoch: [20] [3300/5278] eta: 1:32:30 lr: 2.603903900269518e-05 loss: 0.0644 (0.0707) loss_seg: 0.0639 (0.0701) loss_lansim: 0.0641 (0.0539) loss_contra: 0.0007 (0.0049) time: 2.6656 data: 0.0055 max mem: 31630 Epoch: [20] [3310/5278] eta: 1:32:02 lr: 2.6036747248454113e-05 loss: 0.0668 (0.0708) loss_seg: 0.0661 (0.0702) loss_lansim: 0.0640 (0.0540) loss_contra: 0.0006 (0.0049) time: 2.6667 data: 0.0056 max mem: 31630 Epoch: [20] [3320/5278] eta: 1:31:33 lr: 2.603445547179948e-05 loss: 0.0659 (0.0708) loss_seg: 0.0653 (0.0702) loss_lansim: 0.0635 (0.0540) loss_contra: 0.0006 (0.0050) time: 2.6666 data: 0.0056 max mem: 31630 Epoch: [20] [3330/5278] eta: 1:31:04 lr: 2.603216367272886e-05 loss: 0.0654 (0.0707) loss_seg: 0.0648 (0.0701) loss_lansim: 0.0637 (0.0540) loss_contra: 0.0005 (0.0050) time: 2.6681 data: 0.0056 max mem: 31630 Epoch: [20] [3340/5278] eta: 1:30:35 lr: 2.6029871851239838e-05 loss: 0.0654 (0.0707) loss_seg: 0.0648 (0.0701) loss_lansim: 0.0637 (0.0541) loss_contra: 0.0006 (0.0050) time: 2.6643 data: 0.0056 max mem: 31630 Epoch: [20] [3350/5278] eta: 1:30:06 lr: 2.6027580007330016e-05 loss: 0.0644 (0.0707) loss_seg: 0.0639 (0.0701) loss_lansim: 0.0637 (0.0541) loss_contra: 0.0006 (0.0050) time: 2.6701 data: 0.0056 max mem: 31630 Epoch: [20] [3360/5278] eta: 1:29:37 lr: 2.6025288140996962e-05 loss: 0.0639 (0.0707) loss_seg: 0.0631 (0.0701) loss_lansim: 0.0633 (0.0541) loss_contra: 0.0006 (0.0050) time: 2.6688 data: 0.0056 max mem: 31630 Epoch: [20] [3370/5278] eta: 1:29:09 lr: 2.602299625223828e-05 loss: 0.0619 (0.0707) loss_seg: 0.0610 (0.0701) loss_lansim: 0.0637 (0.0542) loss_contra: 0.0006 (0.0050) time: 2.6715 data: 0.0055 max mem: 31630 Epoch: [20] [3380/5278] eta: 1:28:40 lr: 2.6020704341051545e-05 loss: 0.0639 (0.0707) loss_seg: 0.0631 (0.0701) loss_lansim: 0.0631 (0.0542) loss_contra: 0.0006 (0.0051) time: 2.6696 data: 0.0054 max mem: 31630 Epoch: [20] [3390/5278] eta: 1:28:11 lr: 2.6018412407434345e-05 loss: 0.0654 (0.0707) loss_seg: 0.0648 (0.0701) loss_lansim: 0.0631 (0.0542) loss_contra: 0.0007 (0.0051) time: 2.6684 data: 0.0054 max mem: 31630 Epoch: [20] [3400/5278] eta: 1:27:42 lr: 2.6016120451384262e-05 loss: 0.0650 (0.0707) loss_seg: 0.0644 (0.0701) loss_lansim: 0.0629 (0.0542) loss_contra: 0.0008 (0.0051) time: 2.6686 data: 0.0054 max mem: 31630 Epoch: [20] [3410/5278] eta: 1:27:13 lr: 2.60138284728989e-05 loss: 0.0656 (0.0707) loss_seg: 0.0649 (0.0701) loss_lansim: 0.0630 (0.0543) loss_contra: 0.0008 (0.0051) time: 2.6685 data: 0.0053 max mem: 31630 Epoch: [20] [3420/5278] eta: 1:26:45 lr: 2.6011536471975813e-05 loss: 0.0656 (0.0707) loss_seg: 0.0649 (0.0701) loss_lansim: 0.0634 (0.0543) loss_contra: 0.0008 (0.0051) time: 2.6698 data: 0.0053 max mem: 31630 Epoch: [20] [3430/5278] eta: 1:26:16 lr: 2.60092444486126e-05 loss: 0.0656 (0.0707) loss_seg: 0.0649 (0.0701) loss_lansim: 0.0631 (0.0543) loss_contra: 0.0008 (0.0050) time: 2.6718 data: 0.0053 max mem: 31630 Epoch: [20] [3440/5278] eta: 1:25:47 lr: 2.6006952402806846e-05 loss: 0.0651 (0.0707) loss_seg: 0.0644 (0.0701) loss_lansim: 0.0631 (0.0544) loss_contra: 0.0008 (0.0050) time: 2.6769 data: 0.0053 max mem: 31630 Epoch: [20] [3450/5278] eta: 1:25:19 lr: 2.6004660334556126e-05 loss: 0.0652 (0.0706) loss_seg: 0.0645 (0.0700) loss_lansim: 0.0631 (0.0544) loss_contra: 0.0008 (0.0050) time: 2.6748 data: 0.0053 max mem: 31630 Epoch: [20] [3460/5278] eta: 1:24:50 lr: 2.6002368243858034e-05 loss: 0.0650 (0.0706) loss_seg: 0.0642 (0.0700) loss_lansim: 0.0641 (0.0544) loss_contra: 0.0007 (0.0050) time: 2.6736 data: 0.0053 max mem: 31630 Epoch: [20] [3470/5278] eta: 1:24:21 lr: 2.600007613071014e-05 loss: 0.0644 (0.0706) loss_seg: 0.0638 (0.0700) loss_lansim: 0.0640 (0.0544) loss_contra: 0.0007 (0.0050) time: 2.6731 data: 0.0053 max mem: 31630 Epoch: [20] [3480/5278] eta: 1:23:53 lr: 2.5997783995110024e-05 loss: 0.0622 (0.0705) loss_seg: 0.0616 (0.0699) loss_lansim: 0.0639 (0.0544) loss_contra: 0.0006 (0.0050) time: 2.6711 data: 0.0053 max mem: 31630 Epoch: [20] [3490/5278] eta: 1:23:24 lr: 2.5995491837055276e-05 loss: 0.0625 (0.0705) loss_seg: 0.0618 (0.0699) loss_lansim: 0.0642 (0.0545) loss_contra: 0.0006 (0.0050) time: 2.6708 data: 0.0053 max mem: 31630 Epoch: [20] [3500/5278] eta: 1:22:55 lr: 2.5993199656543475e-05 loss: 0.0610 (0.0707) loss_seg: 0.0603 (0.0701) loss_lansim: 0.0639 (0.0545) loss_contra: 0.0006 (0.0050) time: 2.6713 data: 0.0052 max mem: 31630 Epoch: [20] [3510/5278] eta: 1:22:27 lr: 2.5990907453572196e-05 loss: 0.0585 (0.0707) loss_seg: 0.0579 (0.0701) loss_lansim: 0.0642 (0.0545) loss_contra: 0.0004 (0.0050) time: 2.6721 data: 0.0052 max mem: 31630 Epoch: [20] [3520/5278] eta: 1:21:58 lr: 2.5988615228139012e-05 loss: 0.0554 (0.0706) loss_seg: 0.0548 (0.0700) loss_lansim: 0.0639 (0.0546) loss_contra: 0.0004 (0.0050) time: 2.6735 data: 0.0053 max mem: 31630 Epoch: [20] [3530/5278] eta: 1:21:30 lr: 2.598632298024152e-05 loss: 0.0551 (0.0706) loss_seg: 0.0544 (0.0700) loss_lansim: 0.0639 (0.0546) loss_contra: 0.0005 (0.0050) time: 2.6715 data: 0.0053 max mem: 31630 Epoch: [20] [3540/5278] eta: 1:21:01 lr: 2.5984030709877282e-05 loss: 0.0559 (0.0706) loss_seg: 0.0553 (0.0700) loss_lansim: 0.0639 (0.0546) loss_contra: 0.0004 (0.0050) time: 2.6696 data: 0.0053 max mem: 31630 Epoch: [20] [3550/5278] eta: 1:20:32 lr: 2.5981738417043878e-05 loss: 0.0596 (0.0707) loss_seg: 0.0589 (0.0701) loss_lansim: 0.0642 (0.0547) loss_contra: 0.0004 (0.0050) time: 2.6712 data: 0.0053 max mem: 31630 Epoch: [20] [3560/5278] eta: 1:20:04 lr: 2.5979446101738886e-05 loss: 0.0592 (0.0706) loss_seg: 0.0586 (0.0700) loss_lansim: 0.0642 (0.0547) loss_contra: 0.0004 (0.0050) time: 2.6733 data: 0.0053 max mem: 31630 Epoch: [20] [3570/5278] eta: 1:19:35 lr: 2.5977153763959887e-05 loss: 0.0607 (0.0706) loss_seg: 0.0601 (0.0700) loss_lansim: 0.0649 (0.0547) loss_contra: 0.0004 (0.0050) time: 2.6704 data: 0.0053 max mem: 31630 Epoch: [20] [3580/5278] eta: 1:19:07 lr: 2.597486140370446e-05 loss: 0.0610 (0.0706) loss_seg: 0.0603 (0.0700) loss_lansim: 0.0655 (0.0548) loss_contra: 0.0004 (0.0050) time: 2.6712 data: 0.0054 max mem: 31630 Epoch: [20] [3590/5278] eta: 1:18:38 lr: 2.5972569020970165e-05 loss: 0.0625 (0.0707) loss_seg: 0.0617 (0.0701) loss_lansim: 0.0655 (0.0548) loss_contra: 0.0005 (0.0050) time: 2.6706 data: 0.0054 max mem: 31630 Epoch: [20] [3600/5278] eta: 1:18:10 lr: 2.597027661575459e-05 loss: 0.0635 (0.0707) loss_seg: 0.0627 (0.0701) loss_lansim: 0.0663 (0.0549) loss_contra: 0.0004 (0.0050) time: 2.6748 data: 0.0054 max mem: 31630 Epoch: [20] [3610/5278] eta: 1:17:41 lr: 2.5967984188055306e-05 loss: 0.0657 (0.0706) loss_seg: 0.0650 (0.0700) loss_lansim: 0.0662 (0.0549) loss_contra: 0.0004 (0.0050) time: 2.6735 data: 0.0054 max mem: 31630 Epoch: [20] [3620/5278] eta: 1:17:13 lr: 2.5965691737869892e-05 loss: 0.0706 (0.0707) loss_seg: 0.0700 (0.0701) loss_lansim: 0.0673 (0.0549) loss_contra: 0.0004 (0.0050) time: 2.6737 data: 0.0054 max mem: 31630 Epoch: [20] [3630/5278] eta: 1:16:44 lr: 2.596339926519591e-05 loss: 0.0707 (0.0707) loss_seg: 0.0701 (0.0701) loss_lansim: 0.0671 (0.0550) loss_contra: 0.0004 (0.0049) time: 2.6745 data: 0.0054 max mem: 31630 Epoch: [20] [3640/5278] eta: 1:16:16 lr: 2.596110677003094e-05 loss: 0.0695 (0.0707) loss_seg: 0.0686 (0.0701) loss_lansim: 0.0673 (0.0550) loss_contra: 0.0004 (0.0049) time: 2.6760 data: 0.0054 max mem: 31630 Epoch: [20] [3650/5278] eta: 1:15:47 lr: 2.5958814252372553e-05 loss: 0.0655 (0.0707) loss_seg: 0.0648 (0.0701) loss_lansim: 0.0673 (0.0551) loss_contra: 0.0004 (0.0049) time: 2.6737 data: 0.0054 max mem: 31630 Epoch: [20] [3660/5278] eta: 1:15:19 lr: 2.5956521712218335e-05 loss: 0.0678 (0.0707) loss_seg: 0.0670 (0.0701) loss_lansim: 0.0684 (0.0551) loss_contra: 0.0005 (0.0049) time: 2.6740 data: 0.0054 max mem: 31630 Epoch: [20] [3670/5278] eta: 1:14:50 lr: 2.5954229149565834e-05 loss: 0.0655 (0.0707) loss_seg: 0.0648 (0.0701) loss_lansim: 0.0687 (0.0551) loss_contra: 0.0005 (0.0049) time: 2.6760 data: 0.0054 max mem: 31630 Epoch: [20] [3680/5278] eta: 1:14:22 lr: 2.5951936564412632e-05 loss: 0.0639 (0.0707) loss_seg: 0.0633 (0.0701) loss_lansim: 0.0691 (0.0552) loss_contra: 0.0005 (0.0049) time: 2.6804 data: 0.0053 max mem: 31630 Epoch: [20] [3690/5278] eta: 1:13:54 lr: 2.59496439567563e-05 loss: 0.0622 (0.0707) loss_seg: 0.0615 (0.0701) loss_lansim: 0.0693 (0.0552) loss_contra: 0.0004 (0.0049) time: 2.6804 data: 0.0053 max mem: 31630 Epoch: [20] [3700/5278] eta: 1:13:25 lr: 2.5947351326594414e-05 loss: 0.0635 (0.0707) loss_seg: 0.0628 (0.0701) loss_lansim: 0.0693 (0.0553) loss_contra: 0.0004 (0.0049) time: 2.6801 data: 0.0053 max mem: 31630 Epoch: [20] [3710/5278] eta: 1:12:57 lr: 2.5945058673924538e-05 loss: 0.0633 (0.0707) loss_seg: 0.0624 (0.0701) loss_lansim: 0.0694 (0.0553) loss_contra: 0.0005 (0.0049) time: 2.6789 data: 0.0053 max mem: 31630 Epoch: [20] [3720/5278] eta: 1:12:28 lr: 2.5942765998744235e-05 loss: 0.0625 (0.0707) loss_seg: 0.0618 (0.0701) loss_lansim: 0.0682 (0.0553) loss_contra: 0.0004 (0.0049) time: 2.6805 data: 0.0053 max mem: 31630 Epoch: [20] [3730/5278] eta: 1:12:00 lr: 2.5940473301051077e-05 loss: 0.0635 (0.0707) loss_seg: 0.0628 (0.0701) loss_lansim: 0.0684 (0.0553) loss_contra: 0.0004 (0.0049) time: 2.6818 data: 0.0053 max mem: 31630 Epoch: [20] [3740/5278] eta: 1:11:32 lr: 2.5938180580842636e-05 loss: 0.0633 (0.0707) loss_seg: 0.0624 (0.0701) loss_lansim: 0.0682 (0.0554) loss_contra: 0.0004 (0.0048) time: 2.6818 data: 0.0053 max mem: 31630 Epoch: [20] [3750/5278] eta: 1:11:03 lr: 2.5935887838116483e-05 loss: 0.0635 (0.0707) loss_seg: 0.0628 (0.0701) loss_lansim: 0.0677 (0.0554) loss_contra: 0.0004 (0.0049) time: 2.6835 data: 0.0053 max mem: 31630 Epoch: [20] [3760/5278] eta: 1:10:35 lr: 2.5933595072870175e-05 loss: 0.0628 (0.0706) loss_seg: 0.0622 (0.0700) loss_lansim: 0.0665 (0.0554) loss_contra: 0.0004 (0.0050) time: 2.6794 data: 0.0053 max mem: 31630 Epoch: [20] [3770/5278] eta: 1:10:07 lr: 2.5931302285101284e-05 loss: 0.0635 (0.0707) loss_seg: 0.0628 (0.0701) loss_lansim: 0.0668 (0.0555) loss_contra: 0.0004 (0.0050) time: 2.6814 data: 0.0054 max mem: 31630 Epoch: [20] [3780/5278] eta: 1:09:38 lr: 2.592900947480737e-05 loss: 0.0648 (0.0707) loss_seg: 0.0642 (0.0701) loss_lansim: 0.0673 (0.0555) loss_contra: 0.0005 (0.0050) time: 2.6749 data: 0.0054 max mem: 31630 Epoch: [20] [3790/5278] eta: 1:09:10 lr: 2.5926716641986014e-05 loss: 0.0664 (0.0707) loss_seg: 0.0657 (0.0701) loss_lansim: 0.0668 (0.0555) loss_contra: 0.0005 (0.0050) time: 2.6789 data: 0.0054 max mem: 31630 Epoch: [20] [3800/5278] eta: 1:08:42 lr: 2.5924423786634767e-05 loss: 0.0636 (0.0707) loss_seg: 0.0629 (0.0701) loss_lansim: 0.0665 (0.0556) loss_contra: 0.0004 (0.0050) time: 2.6750 data: 0.0054 max mem: 31630 Epoch: [20] [3810/5278] eta: 1:08:13 lr: 2.5922130908751192e-05 loss: 0.0647 (0.0707) loss_seg: 0.0641 (0.0701) loss_lansim: 0.0665 (0.0556) loss_contra: 0.0005 (0.0050) time: 2.6771 data: 0.0054 max mem: 31630 Epoch: [20] [3820/5278] eta: 1:07:45 lr: 2.591983800833286e-05 loss: 0.0648 (0.0707) loss_seg: 0.0642 (0.0701) loss_lansim: 0.0665 (0.0556) loss_contra: 0.0005 (0.0050) time: 2.6718 data: 0.0054 max mem: 31630 Epoch: [20] [3830/5278] eta: 1:07:17 lr: 2.5917545085377337e-05 loss: 0.0631 (0.0707) loss_seg: 0.0623 (0.0701) loss_lansim: 0.0665 (0.0557) loss_contra: 0.0005 (0.0050) time: 2.6744 data: 0.0054 max mem: 31630 Epoch: [20] [3840/5278] eta: 1:06:48 lr: 2.591525213988218e-05 loss: 0.0648 (0.0707) loss_seg: 0.0642 (0.0701) loss_lansim: 0.0665 (0.0557) loss_contra: 0.0006 (0.0050) time: 2.6743 data: 0.0054 max mem: 31630 Epoch: [20] [3850/5278] eta: 1:06:20 lr: 2.5912959171844952e-05 loss: 0.0627 (0.0707) loss_seg: 0.0621 (0.0701) loss_lansim: 0.0665 (0.0557) loss_contra: 0.0005 (0.0050) time: 2.6757 data: 0.0054 max mem: 31630 Epoch: [20] [3860/5278] eta: 1:05:52 lr: 2.5910666181263217e-05 loss: 0.0634 (0.0707) loss_seg: 0.0628 (0.0701) loss_lansim: 0.0669 (0.0557) loss_contra: 0.0004 (0.0050) time: 2.6806 data: 0.0054 max mem: 31630 Epoch: [20] [3870/5278] eta: 1:05:24 lr: 2.5908373168134543e-05 loss: 0.0609 (0.0707) loss_seg: 0.0602 (0.0701) loss_lansim: 0.0669 (0.0558) loss_contra: 0.0005 (0.0050) time: 2.6775 data: 0.0054 max mem: 31630 Epoch: [20] [3880/5278] eta: 1:04:55 lr: 2.590608013245648e-05 loss: 0.0605 (0.0706) loss_seg: 0.0599 (0.0700) loss_lansim: 0.0665 (0.0558) loss_contra: 0.0005 (0.0049) time: 2.6846 data: 0.0054 max mem: 31630 Epoch: [20] [3890/5278] eta: 1:04:27 lr: 2.5903787074226587e-05 loss: 0.0605 (0.0707) loss_seg: 0.0599 (0.0701) loss_lansim: 0.0665 (0.0558) loss_contra: 0.0005 (0.0049) time: 2.6816 data: 0.0054 max mem: 31630 Epoch: [20] [3900/5278] eta: 1:03:59 lr: 2.5901493993442426e-05 loss: 0.0609 (0.0707) loss_seg: 0.0602 (0.0701) loss_lansim: 0.0664 (0.0559) loss_contra: 0.0005 (0.0049) time: 2.6881 data: 0.0054 max mem: 31630 Epoch: [20] [3910/5278] eta: 1:03:31 lr: 2.589920089010158e-05 loss: 0.0609 (0.0707) loss_seg: 0.0602 (0.0701) loss_lansim: 0.0669 (0.0559) loss_contra: 0.0004 (0.0049) time: 2.6864 data: 0.0054 max mem: 31630 Epoch: [20] [3920/5278] eta: 1:03:03 lr: 2.5896907764201567e-05 loss: 0.0609 (0.0707) loss_seg: 0.0602 (0.0701) loss_lansim: 0.0667 (0.0559) loss_contra: 0.0004 (0.0049) time: 2.6914 data: 0.0054 max mem: 31630 Epoch: [20] [3930/5278] eta: 1:02:34 lr: 2.5894614615739975e-05 loss: 0.0622 (0.0707) loss_seg: 0.0616 (0.0701) loss_lansim: 0.0667 (0.0560) loss_contra: 0.0005 (0.0049) time: 2.6853 data: 0.0054 max mem: 31630 Epoch: [20] [3940/5278] eta: 1:02:06 lr: 2.589232144471435e-05 loss: 0.0620 (0.0707) loss_seg: 0.0614 (0.0701) loss_lansim: 0.0664 (0.0560) loss_contra: 0.0005 (0.0049) time: 2.6895 data: 0.0054 max mem: 31630 Epoch: [20] [3950/5278] eta: 1:01:38 lr: 2.5890028251122254e-05 loss: 0.0645 (0.0707) loss_seg: 0.0639 (0.0701) loss_lansim: 0.0667 (0.0560) loss_contra: 0.0005 (0.0049) time: 2.6844 data: 0.0054 max mem: 31630 Epoch: [20] [3960/5278] eta: 1:01:10 lr: 2.5887735034961253e-05 loss: 0.0638 (0.0707) loss_seg: 0.0632 (0.0701) loss_lansim: 0.0667 (0.0560) loss_contra: 0.0005 (0.0049) time: 2.6856 data: 0.0054 max mem: 31630 Epoch: [20] [3970/5278] eta: 1:00:42 lr: 2.5885441796228887e-05 loss: 0.0638 (0.0707) loss_seg: 0.0632 (0.0701) loss_lansim: 0.0667 (0.0561) loss_contra: 0.0005 (0.0049) time: 2.6889 data: 0.0054 max mem: 31630 Epoch: [20] [3980/5278] eta: 1:00:14 lr: 2.5883148534922713e-05 loss: 0.0627 (0.0707) loss_seg: 0.0621 (0.0700) loss_lansim: 0.0667 (0.0561) loss_contra: 0.0005 (0.0049) time: 2.6886 data: 0.0054 max mem: 31630 Epoch: [20] [3990/5278] eta: 0:59:45 lr: 2.58808552510403e-05 loss: 0.0619 (0.0706) loss_seg: 0.0612 (0.0700) loss_lansim: 0.0666 (0.0561) loss_contra: 0.0005 (0.0049) time: 2.6866 data: 0.0054 max mem: 31630 Epoch: [20] [4000/5278] eta: 0:59:17 lr: 2.5878561944579193e-05 loss: 0.0627 (0.0707) loss_seg: 0.0621 (0.0701) loss_lansim: 0.0668 (0.0561) loss_contra: 0.0005 (0.0049) time: 2.6840 data: 0.0054 max mem: 31630 Epoch: [20] [4010/5278] eta: 0:58:49 lr: 2.5876268615536943e-05 loss: 0.0627 (0.0706) loss_seg: 0.0621 (0.0700) loss_lansim: 0.0666 (0.0562) loss_contra: 0.0005 (0.0049) time: 2.6857 data: 0.0054 max mem: 31630 Epoch: [20] [4020/5278] eta: 0:58:21 lr: 2.5873975263911114e-05 loss: 0.0637 (0.0706) loss_seg: 0.0630 (0.0700) loss_lansim: 0.0667 (0.0562) loss_contra: 0.0006 (0.0049) time: 2.6857 data: 0.0054 max mem: 31630 Epoch: [20] [4030/5278] eta: 0:57:53 lr: 2.587168188969925e-05 loss: 0.0617 (0.0706) loss_seg: 0.0610 (0.0700) loss_lansim: 0.0668 (0.0562) loss_contra: 0.0006 (0.0049) time: 2.6901 data: 0.0054 max mem: 31630 Epoch: [20] [4040/5278] eta: 0:57:25 lr: 2.5869388492898915e-05 loss: 0.0600 (0.0706) loss_seg: 0.0592 (0.0700) loss_lansim: 0.0672 (0.0563) loss_contra: 0.0005 (0.0048) time: 2.6861 data: 0.0054 max mem: 31630 Epoch: [20] [4050/5278] eta: 0:56:56 lr: 2.5867095073507652e-05 loss: 0.0610 (0.0707) loss_seg: 0.0603 (0.0700) loss_lansim: 0.0672 (0.0563) loss_contra: 0.0004 (0.0049) time: 2.6893 data: 0.0054 max mem: 31630 Epoch: [20] [4060/5278] eta: 0:56:28 lr: 2.5864801631523018e-05 loss: 0.0584 (0.0706) loss_seg: 0.0578 (0.0700) loss_lansim: 0.0669 (0.0563) loss_contra: 0.0006 (0.0049) time: 2.6861 data: 0.0054 max mem: 31630 Epoch: [20] [4070/5278] eta: 0:56:00 lr: 2.586250816694256e-05 loss: 0.0600 (0.0706) loss_seg: 0.0592 (0.0700) loss_lansim: 0.0675 (0.0564) loss_contra: 0.0004 (0.0049) time: 2.6865 data: 0.0054 max mem: 31630 Epoch: [20] [4080/5278] eta: 0:55:32 lr: 2.586021467976384e-05 loss: 0.0617 (0.0706) loss_seg: 0.0610 (0.0700) loss_lansim: 0.0677 (0.0564) loss_contra: 0.0006 (0.0049) time: 2.6829 data: 0.0054 max mem: 31630 Epoch: [20] [4090/5278] eta: 0:55:04 lr: 2.585792116998439e-05 loss: 0.0637 (0.0706) loss_seg: 0.0630 (0.0700) loss_lansim: 0.0684 (0.0564) loss_contra: 0.0008 (0.0049) time: 2.6879 data: 0.0054 max mem: 31630 Epoch: [20] [4100/5278] eta: 0:54:36 lr: 2.585562763760177e-05 loss: 0.0622 (0.0707) loss_seg: 0.0615 (0.0701) loss_lansim: 0.0685 (0.0565) loss_contra: 0.0011 (0.0049) time: 2.6864 data: 0.0054 max mem: 31630 Epoch: [20] [4110/5278] eta: 0:54:08 lr: 2.5853334082613527e-05 loss: 0.0670 (0.0707) loss_seg: 0.0658 (0.0701) loss_lansim: 0.0684 (0.0565) loss_contra: 0.0014 (0.0049) time: 2.6880 data: 0.0054 max mem: 31630 Epoch: [20] [4120/5278] eta: 0:53:40 lr: 2.585104050501722e-05 loss: 0.0674 (0.0707) loss_seg: 0.0664 (0.0701) loss_lansim: 0.0683 (0.0565) loss_contra: 0.0013 (0.0050) time: 2.6867 data: 0.0054 max mem: 31630 Epoch: [20] [4130/5278] eta: 0:53:12 lr: 2.584874690481039e-05 loss: 0.0677 (0.0707) loss_seg: 0.0669 (0.0701) loss_lansim: 0.0678 (0.0565) loss_contra: 0.0015 (0.0050) time: 2.6824 data: 0.0054 max mem: 31630 Epoch: [20] [4140/5278] eta: 0:52:44 lr: 2.5846453281990572e-05 loss: 0.0685 (0.0707) loss_seg: 0.0679 (0.0701) loss_lansim: 0.0681 (0.0566) loss_contra: 0.0015 (0.0050) time: 2.6846 data: 0.0054 max mem: 31630 Epoch: [20] [4150/5278] eta: 0:52:16 lr: 2.5844159636555336e-05 loss: 0.0671 (0.0707) loss_seg: 0.0664 (0.0701) loss_lansim: 0.0678 (0.0566) loss_contra: 0.0014 (0.0050) time: 2.6840 data: 0.0054 max mem: 31630 Epoch: [20] [4160/5278] eta: 0:51:47 lr: 2.584186596850222e-05 loss: 0.0681 (0.0707) loss_seg: 0.0674 (0.0701) loss_lansim: 0.0678 (0.0566) loss_contra: 0.0013 (0.0050) time: 2.6845 data: 0.0054 max mem: 31630 Epoch: [20] [4170/5278] eta: 0:51:19 lr: 2.5839572277828768e-05 loss: 0.0684 (0.0707) loss_seg: 0.0676 (0.0701) loss_lansim: 0.0675 (0.0567) loss_contra: 0.0013 (0.0050) time: 2.6837 data: 0.0054 max mem: 31630 Epoch: [20] [4180/5278] eta: 0:50:51 lr: 2.5837278564532518e-05 loss: 0.0683 (0.0707) loss_seg: 0.0675 (0.0701) loss_lansim: 0.0672 (0.0567) loss_contra: 0.0013 (0.0050) time: 2.6816 data: 0.0054 max mem: 31630 Epoch: [20] [4190/5278] eta: 0:50:23 lr: 2.583498482861103e-05 loss: 0.0671 (0.0707) loss_seg: 0.0665 (0.0701) loss_lansim: 0.0672 (0.0567) loss_contra: 0.0008 (0.0050) time: 2.6800 data: 0.0054 max mem: 31630 Epoch: [20] [4200/5278] eta: 0:49:55 lr: 2.583269107006184e-05 loss: 0.0677 (0.0707) loss_seg: 0.0669 (0.0701) loss_lansim: 0.0672 (0.0568) loss_contra: 0.0006 (0.0050) time: 2.6787 data: 0.0054 max mem: 31630 Epoch: [20] [4210/5278] eta: 0:49:27 lr: 2.5830397288882502e-05 loss: 0.0683 (0.0708) loss_seg: 0.0675 (0.0701) loss_lansim: 0.0676 (0.0568) loss_contra: 0.0005 (0.0050) time: 2.6815 data: 0.0054 max mem: 31630 Epoch: [20] [4220/5278] eta: 0:48:59 lr: 2.5828103485070547e-05 loss: 0.0681 (0.0707) loss_seg: 0.0674 (0.0701) loss_lansim: 0.0678 (0.0568) loss_contra: 0.0005 (0.0050) time: 2.6793 data: 0.0054 max mem: 31630 Epoch: [20] [4230/5278] eta: 0:48:31 lr: 2.5825809658623523e-05 loss: 0.0687 (0.0707) loss_seg: 0.0680 (0.0701) loss_lansim: 0.0677 (0.0569) loss_contra: 0.0005 (0.0050) time: 2.6857 data: 0.0054 max mem: 31630 Epoch: [20] [4240/5278] eta: 0:48:03 lr: 2.582351580953897e-05 loss: 0.0671 (0.0707) loss_seg: 0.0664 (0.0701) loss_lansim: 0.0677 (0.0569) loss_contra: 0.0005 (0.0050) time: 2.6812 data: 0.0054 max mem: 31630 Epoch: [20] [4250/5278] eta: 0:47:35 lr: 2.582122193781445e-05 loss: 0.0687 (0.0708) loss_seg: 0.0680 (0.0701) loss_lansim: 0.0682 (0.0569) loss_contra: 0.0004 (0.0049) time: 2.6860 data: 0.0054 max mem: 31630 Epoch: [20] [4260/5278] eta: 0:47:07 lr: 2.5818928043447475e-05 loss: 0.0672 (0.0708) loss_seg: 0.0666 (0.0701) loss_lansim: 0.0682 (0.0569) loss_contra: 0.0004 (0.0049) time: 2.6857 data: 0.0054 max mem: 31630 Epoch: [20] [4270/5278] eta: 0:46:39 lr: 2.5816634126435608e-05 loss: 0.0671 (0.0707) loss_seg: 0.0664 (0.0701) loss_lansim: 0.0682 (0.0570) loss_contra: 0.0003 (0.0050) time: 2.6816 data: 0.0054 max mem: 31630 Epoch: [20] [4280/5278] eta: 0:46:11 lr: 2.5814340186776376e-05 loss: 0.0686 (0.0707) loss_seg: 0.0680 (0.0701) loss_lansim: 0.0687 (0.0570) loss_contra: 0.0003 (0.0049) time: 2.6831 data: 0.0054 max mem: 31630 Epoch: [20] [4290/5278] eta: 0:45:43 lr: 2.5812046224467335e-05 loss: 0.0731 (0.0708) loss_seg: 0.0722 (0.0701) loss_lansim: 0.0691 (0.0570) loss_contra: 0.0003 (0.0049) time: 2.6822 data: 0.0054 max mem: 31630 Epoch: [20] [4300/5278] eta: 0:45:15 lr: 2.5809752239506006e-05 loss: 0.0699 (0.0707) loss_seg: 0.0693 (0.0701) loss_lansim: 0.0691 (0.0571) loss_contra: 0.0003 (0.0049) time: 2.6823 data: 0.0054 max mem: 31630 Epoch: [20] [4310/5278] eta: 0:44:47 lr: 2.580745823188994e-05 loss: 0.0687 (0.0708) loss_seg: 0.0680 (0.0701) loss_lansim: 0.0691 (0.0571) loss_contra: 0.0003 (0.0049) time: 2.6753 data: 0.0054 max mem: 31630 Epoch: [20] [4320/5278] eta: 0:44:19 lr: 2.580516420161667e-05 loss: 0.0686 (0.0708) loss_seg: 0.0680 (0.0702) loss_lansim: 0.0691 (0.0571) loss_contra: 0.0003 (0.0049) time: 2.6791 data: 0.0054 max mem: 31630 Epoch: [20] [4330/5278] eta: 0:43:51 lr: 2.5802870148683743e-05 loss: 0.0680 (0.0708) loss_seg: 0.0675 (0.0702) loss_lansim: 0.0692 (0.0571) loss_contra: 0.0003 (0.0049) time: 2.6718 data: 0.0054 max mem: 31630 Epoch: [20] [4340/5278] eta: 0:43:23 lr: 2.580057607308869e-05 loss: 0.0682 (0.0708) loss_seg: 0.0675 (0.0701) loss_lansim: 0.0686 (0.0572) loss_contra: 0.0003 (0.0049) time: 2.6780 data: 0.0054 max mem: 31630 Epoch: [20] [4350/5278] eta: 0:42:55 lr: 2.5798281974829048e-05 loss: 0.0671 (0.0707) loss_seg: 0.0664 (0.0701) loss_lansim: 0.0671 (0.0572) loss_contra: 0.0003 (0.0049) time: 2.6720 data: 0.0054 max mem: 31630 Epoch: [20] [4360/5278] eta: 0:42:27 lr: 2.5795987853902347e-05 loss: 0.0653 (0.0707) loss_seg: 0.0646 (0.0701) loss_lansim: 0.0670 (0.0572) loss_contra: 0.0003 (0.0049) time: 2.6755 data: 0.0054 max mem: 31630 Epoch: [20] [4370/5278] eta: 0:41:59 lr: 2.5793693710306143e-05 loss: 0.0641 (0.0708) loss_seg: 0.0634 (0.0701) loss_lansim: 0.0673 (0.0572) loss_contra: 0.0003 (0.0049) time: 2.6786 data: 0.0054 max mem: 31630 Epoch: [20] [4380/5278] eta: 0:41:32 lr: 2.579139954403795e-05 loss: 0.0641 (0.0707) loss_seg: 0.0633 (0.0701) loss_lansim: 0.0675 (0.0573) loss_contra: 0.0004 (0.0049) time: 2.6843 data: 0.0054 max mem: 31630 Epoch: [20] [4390/5278] eta: 0:41:04 lr: 2.5789105355095318e-05 loss: 0.0625 (0.0707) loss_seg: 0.0618 (0.0701) loss_lansim: 0.0669 (0.0573) loss_contra: 0.0004 (0.0049) time: 2.6836 data: 0.0054 max mem: 31630 Epoch: [20] [4400/5278] eta: 0:40:36 lr: 2.5786811143475775e-05 loss: 0.0625 (0.0708) loss_seg: 0.0618 (0.0701) loss_lansim: 0.0653 (0.0573) loss_contra: 0.0005 (0.0049) time: 2.6890 data: 0.0054 max mem: 31630 Epoch: [20] [4410/5278] eta: 0:40:08 lr: 2.578451690917686e-05 loss: 0.0617 (0.0708) loss_seg: 0.0612 (0.0701) loss_lansim: 0.0649 (0.0573) loss_contra: 0.0005 (0.0049) time: 2.6903 data: 0.0054 max mem: 31630 Epoch: [20] [4420/5278] eta: 0:39:40 lr: 2.5782222652196096e-05 loss: 0.0600 (0.0708) loss_seg: 0.0593 (0.0701) loss_lansim: 0.0641 (0.0573) loss_contra: 0.0005 (0.0049) time: 2.6885 data: 0.0054 max mem: 31630 Epoch: [20] [4430/5278] eta: 0:39:12 lr: 2.5779928372531026e-05 loss: 0.0599 (0.0708) loss_seg: 0.0590 (0.0701) loss_lansim: 0.0637 (0.0573) loss_contra: 0.0005 (0.0049) time: 2.6909 data: 0.0054 max mem: 31630 Epoch: [20] [4440/5278] eta: 0:38:44 lr: 2.577763407017918e-05 loss: 0.0599 (0.0708) loss_seg: 0.0590 (0.0702) loss_lansim: 0.0636 (0.0573) loss_contra: 0.0005 (0.0049) time: 2.6859 data: 0.0054 max mem: 31630 Epoch: [20] [4450/5278] eta: 0:38:16 lr: 2.577533974513809e-05 loss: 0.0614 (0.0708) loss_seg: 0.0607 (0.0701) loss_lansim: 0.0626 (0.0573) loss_contra: 0.0006 (0.0050) time: 2.6867 data: 0.0054 max mem: 31630 Epoch: [20] [4460/5278] eta: 0:37:48 lr: 2.577304539740529e-05 loss: 0.0614 (0.0707) loss_seg: 0.0607 (0.0701) loss_lansim: 0.0617 (0.0573) loss_contra: 0.0007 (0.0050) time: 2.6849 data: 0.0055 max mem: 31630 Epoch: [20] [4470/5278] eta: 0:37:20 lr: 2.57707510269783e-05 loss: 0.0614 (0.0707) loss_seg: 0.0607 (0.0701) loss_lansim: 0.0615 (0.0573) loss_contra: 0.0007 (0.0050) time: 2.6843 data: 0.0055 max mem: 31630 Epoch: [20] [4480/5278] eta: 0:36:52 lr: 2.576845663385466e-05 loss: 0.0614 (0.0707) loss_seg: 0.0607 (0.0701) loss_lansim: 0.0611 (0.0574) loss_contra: 0.0006 (0.0050) time: 2.6794 data: 0.0055 max mem: 31630 Epoch: [20] [4490/5278] eta: 0:36:24 lr: 2.57661622180319e-05 loss: 0.0599 (0.0707) loss_seg: 0.0592 (0.0701) loss_lansim: 0.0609 (0.0574) loss_contra: 0.0007 (0.0050) time: 2.6793 data: 0.0054 max mem: 31630 Epoch: [20] [4500/5278] eta: 0:35:57 lr: 2.5763867779507554e-05 loss: 0.0603 (0.0708) loss_seg: 0.0597 (0.0702) loss_lansim: 0.0609 (0.0574) loss_contra: 0.0007 (0.0050) time: 2.6763 data: 0.0054 max mem: 31630 Epoch: [20] [4510/5278] eta: 0:35:29 lr: 2.5761573318279142e-05 loss: 0.0609 (0.0709) loss_seg: 0.0603 (0.0703) loss_lansim: 0.0614 (0.0574) loss_contra: 0.0008 (0.0050) time: 2.6784 data: 0.0054 max mem: 31630 Epoch: [20] [4520/5278] eta: 0:35:01 lr: 2.5759278834344196e-05 loss: 0.0619 (0.0709) loss_seg: 0.0613 (0.0702) loss_lansim: 0.0614 (0.0574) loss_contra: 0.0009 (0.0050) time: 2.6794 data: 0.0054 max mem: 31630 Epoch: [20] [4530/5278] eta: 0:34:33 lr: 2.575698432770024e-05 loss: 0.0629 (0.0709) loss_seg: 0.0623 (0.0703) loss_lansim: 0.0614 (0.0574) loss_contra: 0.0009 (0.0050) time: 2.6782 data: 0.0055 max mem: 31630 Epoch: [20] [4540/5278] eta: 0:34:05 lr: 2.575468979834481e-05 loss: 0.0619 (0.0709) loss_seg: 0.0613 (0.0703) loss_lansim: 0.0614 (0.0574) loss_contra: 0.0010 (0.0050) time: 2.6792 data: 0.0055 max mem: 31630 Epoch: [20] [4550/5278] eta: 0:33:37 lr: 2.575239524627543e-05 loss: 0.0642 (0.0709) loss_seg: 0.0636 (0.0703) loss_lansim: 0.0614 (0.0574) loss_contra: 0.0009 (0.0050) time: 2.6816 data: 0.0055 max mem: 31630 Epoch: [20] [4560/5278] eta: 0:33:09 lr: 2.575010067148962e-05 loss: 0.0678 (0.0709) loss_seg: 0.0671 (0.0703) loss_lansim: 0.0614 (0.0574) loss_contra: 0.0009 (0.0049) time: 2.6836 data: 0.0055 max mem: 31630 Epoch: [20] [4570/5278] eta: 0:32:41 lr: 2.5747806073984903e-05 loss: 0.0671 (0.0709) loss_seg: 0.0665 (0.0703) loss_lansim: 0.0606 (0.0574) loss_contra: 0.0010 (0.0049) time: 2.6813 data: 0.0055 max mem: 31630 Epoch: [20] [4580/5278] eta: 0:32:14 lr: 2.5745511453758826e-05 loss: 0.0671 (0.0710) loss_seg: 0.0665 (0.0703) loss_lansim: 0.0604 (0.0574) loss_contra: 0.0009 (0.0049) time: 2.6813 data: 0.0055 max mem: 31630 Epoch: [20] [4590/5278] eta: 0:31:46 lr: 2.574321681080889e-05 loss: 0.0678 (0.0709) loss_seg: 0.0671 (0.0703) loss_lansim: 0.0605 (0.0574) loss_contra: 0.0009 (0.0049) time: 2.6774 data: 0.0055 max mem: 31630 Epoch: [20] [4600/5278] eta: 0:31:18 lr: 2.5740922145132634e-05 loss: 0.0678 (0.0710) loss_seg: 0.0671 (0.0703) loss_lansim: 0.0605 (0.0574) loss_contra: 0.0006 (0.0049) time: 2.6716 data: 0.0055 max mem: 31630 Epoch: [20] [4610/5278] eta: 0:30:50 lr: 2.573862745672757e-05 loss: 0.0668 (0.0710) loss_seg: 0.0661 (0.0703) loss_lansim: 0.0600 (0.0574) loss_contra: 0.0006 (0.0049) time: 2.6722 data: 0.0055 max mem: 31630 Epoch: [20] [4620/5278] eta: 0:30:22 lr: 2.5736332745591242e-05 loss: 0.0678 (0.0710) loss_seg: 0.0671 (0.0703) loss_lansim: 0.0598 (0.0575) loss_contra: 0.0005 (0.0050) time: 2.6674 data: 0.0055 max mem: 31630 Epoch: [20] [4630/5278] eta: 0:29:54 lr: 2.5734038011721146e-05 loss: 0.0707 (0.0710) loss_seg: 0.0699 (0.0704) loss_lansim: 0.0598 (0.0575) loss_contra: 0.0005 (0.0049) time: 2.6716 data: 0.0054 max mem: 31630 Epoch: [20] [4640/5278] eta: 0:29:26 lr: 2.573174325511482e-05 loss: 0.0713 (0.0710) loss_seg: 0.0707 (0.0703) loss_lansim: 0.0595 (0.0575) loss_contra: 0.0005 (0.0050) time: 2.6705 data: 0.0054 max mem: 31630 Epoch: [20] [4650/5278] eta: 0:28:59 lr: 2.572944847576978e-05 loss: 0.0668 (0.0709) loss_seg: 0.0661 (0.0703) loss_lansim: 0.0595 (0.0575) loss_contra: 0.0006 (0.0050) time: 2.6686 data: 0.0054 max mem: 31630 Epoch: [20] [4660/5278] eta: 0:28:31 lr: 2.5727153673683556e-05 loss: 0.0643 (0.0709) loss_seg: 0.0638 (0.0703) loss_lansim: 0.0594 (0.0575) loss_contra: 0.0006 (0.0050) time: 2.6623 data: 0.0054 max mem: 31630 Epoch: [20] [4670/5278] eta: 0:28:03 lr: 2.572485884885366e-05 loss: 0.0639 (0.0709) loss_seg: 0.0633 (0.0703) loss_lansim: 0.0588 (0.0575) loss_contra: 0.0006 (0.0050) time: 2.6623 data: 0.0054 max mem: 31630 Epoch: [20] [4680/5278] eta: 0:27:35 lr: 2.5722564001277615e-05 loss: 0.0649 (0.0710) loss_seg: 0.0644 (0.0703) loss_lansim: 0.0589 (0.0575) loss_contra: 0.0006 (0.0050) time: 2.6607 data: 0.0054 max mem: 31630 Epoch: [20] [4690/5278] eta: 0:27:07 lr: 2.5720269130952944e-05 loss: 0.0649 (0.0710) loss_seg: 0.0644 (0.0703) loss_lansim: 0.0588 (0.0575) loss_contra: 0.0006 (0.0050) time: 2.6676 data: 0.0054 max mem: 31630 Epoch: [20] [4700/5278] eta: 0:26:40 lr: 2.5717974237877157e-05 loss: 0.0648 (0.0710) loss_seg: 0.0642 (0.0703) loss_lansim: 0.0585 (0.0575) loss_contra: 0.0006 (0.0050) time: 2.6688 data: 0.0054 max mem: 31630 Epoch: [20] [4710/5278] eta: 0:26:12 lr: 2.5715679322047792e-05 loss: 0.0673 (0.0710) loss_seg: 0.0666 (0.0704) loss_lansim: 0.0590 (0.0575) loss_contra: 0.0008 (0.0050) time: 2.6688 data: 0.0054 max mem: 31630 Epoch: [20] [4720/5278] eta: 0:25:44 lr: 2.5713384383462342e-05 loss: 0.0652 (0.0710) loss_seg: 0.0646 (0.0703) loss_lansim: 0.0590 (0.0575) loss_contra: 0.0006 (0.0050) time: 2.6702 data: 0.0054 max mem: 31630 Epoch: [20] [4730/5278] eta: 0:25:16 lr: 2.571108942211834e-05 loss: 0.0672 (0.0710) loss_seg: 0.0666 (0.0704) loss_lansim: 0.0589 (0.0575) loss_contra: 0.0006 (0.0050) time: 2.6685 data: 0.0054 max mem: 31630 Epoch: [20] [4740/5278] eta: 0:24:48 lr: 2.5708794438013294e-05 loss: 0.0648 (0.0709) loss_seg: 0.0642 (0.0703) loss_lansim: 0.0581 (0.0575) loss_contra: 0.0004 (0.0049) time: 2.6671 data: 0.0054 max mem: 31630 Epoch: [20] [4750/5278] eta: 0:24:21 lr: 2.5706499431144736e-05 loss: 0.0662 (0.0710) loss_seg: 0.0655 (0.0703) loss_lansim: 0.0585 (0.0575) loss_contra: 0.0004 (0.0049) time: 2.6679 data: 0.0054 max mem: 31630 Epoch: [20] [4760/5278] eta: 0:23:53 lr: 2.570420440151017e-05 loss: 0.0672 (0.0710) loss_seg: 0.0666 (0.0703) loss_lansim: 0.0589 (0.0575) loss_contra: 0.0004 (0.0049) time: 2.6677 data: 0.0054 max mem: 31630 Epoch: [20] [4770/5278] eta: 0:23:25 lr: 2.5701909349107106e-05 loss: 0.0672 (0.0710) loss_seg: 0.0666 (0.0704) loss_lansim: 0.0589 (0.0575) loss_contra: 0.0003 (0.0049) time: 2.6708 data: 0.0053 max mem: 31630 Epoch: [20] [4780/5278] eta: 0:22:57 lr: 2.5699614273933076e-05 loss: 0.0623 (0.0709) loss_seg: 0.0618 (0.0703) loss_lansim: 0.0588 (0.0575) loss_contra: 0.0004 (0.0049) time: 2.6741 data: 0.0053 max mem: 31630 Epoch: [20] [4790/5278] eta: 0:22:29 lr: 2.5697319175985583e-05 loss: 0.0626 (0.0710) loss_seg: 0.0620 (0.0704) loss_lansim: 0.0589 (0.0575) loss_contra: 0.0004 (0.0049) time: 2.6688 data: 0.0053 max mem: 31630 Epoch: [20] [4800/5278] eta: 0:22:02 lr: 2.5695024055262147e-05 loss: 0.0632 (0.0710) loss_seg: 0.0626 (0.0704) loss_lansim: 0.0590 (0.0575) loss_contra: 0.0004 (0.0049) time: 2.6728 data: 0.0053 max mem: 31630 Epoch: [20] [4810/5278] eta: 0:21:34 lr: 2.5692728911760273e-05 loss: 0.0606 (0.0710) loss_seg: 0.0600 (0.0704) loss_lansim: 0.0588 (0.0575) loss_contra: 0.0004 (0.0049) time: 2.6715 data: 0.0053 max mem: 31630 Epoch: [20] [4820/5278] eta: 0:21:06 lr: 2.5690433745477475e-05 loss: 0.0617 (0.0710) loss_seg: 0.0612 (0.0704) loss_lansim: 0.0595 (0.0575) loss_contra: 0.0004 (0.0049) time: 2.6721 data: 0.0053 max mem: 31630 Epoch: [20] [4830/5278] eta: 0:20:39 lr: 2.5688138556411277e-05 loss: 0.0586 (0.0710) loss_seg: 0.0581 (0.0703) loss_lansim: 0.0597 (0.0575) loss_contra: 0.0004 (0.0049) time: 2.6743 data: 0.0053 max mem: 31630 Epoch: [20] [4840/5278] eta: 0:20:11 lr: 2.5685843344559184e-05 loss: 0.0602 (0.0710) loss_seg: 0.0596 (0.0704) loss_lansim: 0.0601 (0.0575) loss_contra: 0.0004 (0.0049) time: 2.6743 data: 0.0053 max mem: 31630 Epoch: [20] [4850/5278] eta: 0:19:43 lr: 2.5683548109918704e-05 loss: 0.0613 (0.0710) loss_seg: 0.0604 (0.0704) loss_lansim: 0.0601 (0.0575) loss_contra: 0.0003 (0.0049) time: 2.6763 data: 0.0053 max mem: 31630 Epoch: [20] [4860/5278] eta: 0:19:15 lr: 2.5681252852487348e-05 loss: 0.0617 (0.0710) loss_seg: 0.0612 (0.0704) loss_lansim: 0.0607 (0.0576) loss_contra: 0.0003 (0.0049) time: 2.6786 data: 0.0053 max mem: 31630 Epoch: [20] [4870/5278] eta: 0:18:48 lr: 2.567895757226264e-05 loss: 0.0632 (0.0710) loss_seg: 0.0626 (0.0704) loss_lansim: 0.0609 (0.0576) loss_contra: 0.0003 (0.0049) time: 2.6787 data: 0.0053 max mem: 31630 Epoch: [20] [4880/5278] eta: 0:18:20 lr: 2.5676662269242067e-05 loss: 0.0653 (0.0710) loss_seg: 0.0647 (0.0704) loss_lansim: 0.0615 (0.0576) loss_contra: 0.0003 (0.0049) time: 2.6805 data: 0.0053 max mem: 31630 Epoch: [20] [4890/5278] eta: 0:17:52 lr: 2.5674366943423155e-05 loss: 0.0681 (0.0710) loss_seg: 0.0675 (0.0704) loss_lansim: 0.0615 (0.0576) loss_contra: 0.0003 (0.0049) time: 2.6830 data: 0.0053 max mem: 31630 Epoch: [20] [4900/5278] eta: 0:17:24 lr: 2.567207159480341e-05 loss: 0.0683 (0.0710) loss_seg: 0.0678 (0.0704) loss_lansim: 0.0617 (0.0576) loss_contra: 0.0003 (0.0049) time: 2.6833 data: 0.0053 max mem: 31630 Epoch: [20] [4910/5278] eta: 0:16:57 lr: 2.566977622338034e-05 loss: 0.0685 (0.0710) loss_seg: 0.0678 (0.0704) loss_lansim: 0.0617 (0.0576) loss_contra: 0.0003 (0.0049) time: 2.6832 data: 0.0053 max mem: 31630 Epoch: [20] [4920/5278] eta: 0:16:29 lr: 2.5667480829151448e-05 loss: 0.0683 (0.0710) loss_seg: 0.0678 (0.0704) loss_lansim: 0.0608 (0.0576) loss_contra: 0.0003 (0.0049) time: 2.6897 data: 0.0053 max mem: 31630 Epoch: [20] [4930/5278] eta: 0:16:01 lr: 2.5665185412114246e-05 loss: 0.0690 (0.0710) loss_seg: 0.0684 (0.0704) loss_lansim: 0.0605 (0.0576) loss_contra: 0.0003 (0.0049) time: 2.6872 data: 0.0053 max mem: 31630 Epoch: [20] [4940/5278] eta: 0:15:34 lr: 2.5662889972266234e-05 loss: 0.0683 (0.0710) loss_seg: 0.0678 (0.0704) loss_lansim: 0.0605 (0.0576) loss_contra: 0.0004 (0.0049) time: 2.6908 data: 0.0053 max mem: 31630 Epoch: [20] [4950/5278] eta: 0:15:06 lr: 2.5660594509604928e-05 loss: 0.0675 (0.0710) loss_seg: 0.0669 (0.0704) loss_lansim: 0.0601 (0.0576) loss_contra: 0.0005 (0.0049) time: 2.6871 data: 0.0054 max mem: 31630 Epoch: [20] [4960/5278] eta: 0:14:38 lr: 2.5658299024127834e-05 loss: 0.0679 (0.0711) loss_seg: 0.0672 (0.0704) loss_lansim: 0.0603 (0.0576) loss_contra: 0.0005 (0.0049) time: 2.6872 data: 0.0054 max mem: 31630 Epoch: [20] [4970/5278] eta: 0:14:11 lr: 2.565600351583245e-05 loss: 0.0679 (0.0711) loss_seg: 0.0672 (0.0704) loss_lansim: 0.0601 (0.0576) loss_contra: 0.0005 (0.0049) time: 2.6871 data: 0.0054 max mem: 31630 Epoch: [20] [4980/5278] eta: 0:13:43 lr: 2.565370798471628e-05 loss: 0.0679 (0.0711) loss_seg: 0.0672 (0.0705) loss_lansim: 0.0603 (0.0576) loss_contra: 0.0005 (0.0049) time: 2.6834 data: 0.0054 max mem: 31630 Epoch: [20] [4990/5278] eta: 0:13:15 lr: 2.5651412430776833e-05 loss: 0.0679 (0.0711) loss_seg: 0.0672 (0.0705) loss_lansim: 0.0605 (0.0577) loss_contra: 0.0005 (0.0049) time: 2.6838 data: 0.0054 max mem: 31630 Epoch: [20] [5000/5278] eta: 0:12:48 lr: 2.5649116854011616e-05 loss: 0.0676 (0.0711) loss_seg: 0.0671 (0.0705) loss_lansim: 0.0606 (0.0577) loss_contra: 0.0005 (0.0049) time: 2.6849 data: 0.0053 max mem: 31630 Epoch: [20] [5010/5278] eta: 0:12:20 lr: 2.5646821254418123e-05 loss: 0.0675 (0.0711) loss_seg: 0.0669 (0.0705) loss_lansim: 0.0608 (0.0577) loss_contra: 0.0005 (0.0049) time: 2.6818 data: 0.0053 max mem: 31630 Epoch: [20] [5020/5278] eta: 0:11:52 lr: 2.564452563199386e-05 loss: 0.0662 (0.0711) loss_seg: 0.0657 (0.0705) loss_lansim: 0.0611 (0.0577) loss_contra: 0.0004 (0.0049) time: 2.6781 data: 0.0053 max mem: 31630 Epoch: [20] [5030/5278] eta: 0:11:25 lr: 2.5642229986736327e-05 loss: 0.0625 (0.0711) loss_seg: 0.0619 (0.0704) loss_lansim: 0.0611 (0.0577) loss_contra: 0.0005 (0.0049) time: 2.6772 data: 0.0053 max mem: 31630 Epoch: [20] [5040/5278] eta: 0:10:57 lr: 2.563993431864304e-05 loss: 0.0639 (0.0711) loss_seg: 0.0633 (0.0704) loss_lansim: 0.0610 (0.0577) loss_contra: 0.0004 (0.0049) time: 2.6776 data: 0.0053 max mem: 31630 Epoch: [20] [5050/5278] eta: 0:10:29 lr: 2.563763862771148e-05 loss: 0.0666 (0.0711) loss_seg: 0.0660 (0.0705) loss_lansim: 0.0614 (0.0577) loss_contra: 0.0004 (0.0049) time: 2.6781 data: 0.0053 max mem: 31630 Epoch: [20] [5060/5278] eta: 0:10:02 lr: 2.5635342913939155e-05 loss: 0.0647 (0.0711) loss_seg: 0.0642 (0.0705) loss_lansim: 0.0607 (0.0577) loss_contra: 0.0004 (0.0049) time: 2.6818 data: 0.0053 max mem: 31630 Epoch: [20] [5070/5278] eta: 0:09:34 lr: 2.5633047177323564e-05 loss: 0.0647 (0.0711) loss_seg: 0.0642 (0.0705) loss_lansim: 0.0610 (0.0577) loss_contra: 0.0004 (0.0049) time: 2.6786 data: 0.0053 max mem: 31630 Epoch: [20] [5080/5278] eta: 0:09:06 lr: 2.5630751417862215e-05 loss: 0.0625 (0.0711) loss_seg: 0.0619 (0.0704) loss_lansim: 0.0611 (0.0577) loss_contra: 0.0004 (0.0049) time: 2.6798 data: 0.0053 max mem: 31630 Epoch: [20] [5090/5278] eta: 0:08:39 lr: 2.5628455635552595e-05 loss: 0.0605 (0.0711) loss_seg: 0.0600 (0.0704) loss_lansim: 0.0611 (0.0577) loss_contra: 0.0004 (0.0049) time: 2.6787 data: 0.0053 max mem: 31630 Epoch: [20] [5100/5278] eta: 0:08:11 lr: 2.562615983039221e-05 loss: 0.0605 (0.0710) loss_seg: 0.0600 (0.0704) loss_lansim: 0.0604 (0.0577) loss_contra: 0.0004 (0.0049) time: 2.6776 data: 0.0053 max mem: 31630 Epoch: [20] [5110/5278] eta: 0:07:43 lr: 2.5623864002378555e-05 loss: 0.0649 (0.0711) loss_seg: 0.0643 (0.0705) loss_lansim: 0.0608 (0.0578) loss_contra: 0.0004 (0.0049) time: 2.6783 data: 0.0053 max mem: 31630 Epoch: [20] [5120/5278] eta: 0:07:16 lr: 2.5621568151509134e-05 loss: 0.0617 (0.0711) loss_seg: 0.0610 (0.0704) loss_lansim: 0.0608 (0.0578) loss_contra: 0.0004 (0.0049) time: 2.6793 data: 0.0053 max mem: 31630 Epoch: [20] [5130/5278] eta: 0:06:48 lr: 2.561927227778143e-05 loss: 0.0649 (0.0711) loss_seg: 0.0643 (0.0704) loss_lansim: 0.0611 (0.0578) loss_contra: 0.0004 (0.0049) time: 2.6763 data: 0.0053 max mem: 31630 Epoch: [20] [5140/5278] eta: 0:06:20 lr: 2.5616976381192948e-05 loss: 0.0617 (0.0710) loss_seg: 0.0610 (0.0704) loss_lansim: 0.0608 (0.0578) loss_contra: 0.0005 (0.0049) time: 2.6760 data: 0.0053 max mem: 31630 Epoch: [20] [5150/5278] eta: 0:05:53 lr: 2.561468046174118e-05 loss: 0.0617 (0.0711) loss_seg: 0.0610 (0.0704) loss_lansim: 0.0611 (0.0578) loss_contra: 0.0005 (0.0049) time: 2.6750 data: 0.0053 max mem: 31630 Epoch: [20] [5160/5278] eta: 0:05:25 lr: 2.561238451942363e-05 loss: 0.0619 (0.0710) loss_seg: 0.0613 (0.0704) loss_lansim: 0.0613 (0.0578) loss_contra: 0.0005 (0.0049) time: 2.6752 data: 0.0053 max mem: 31630 Epoch: [20] [5170/5278] eta: 0:04:58 lr: 2.561008855423779e-05 loss: 0.0596 (0.0710) loss_seg: 0.0590 (0.0704) loss_lansim: 0.0614 (0.0578) loss_contra: 0.0005 (0.0049) time: 2.6766 data: 0.0053 max mem: 31630 Epoch: [20] [5180/5278] eta: 0:04:30 lr: 2.5607792566181142e-05 loss: 0.0607 (0.0710) loss_seg: 0.0601 (0.0704) loss_lansim: 0.0611 (0.0578) loss_contra: 0.0004 (0.0049) time: 2.6755 data: 0.0053 max mem: 31630 Epoch: [20] [5190/5278] eta: 0:04:02 lr: 2.5605496555251195e-05 loss: 0.0619 (0.0710) loss_seg: 0.0613 (0.0704) loss_lansim: 0.0611 (0.0578) loss_contra: 0.0004 (0.0049) time: 2.6681 data: 0.0053 max mem: 31630 Epoch: [20] [5200/5278] eta: 0:03:35 lr: 2.560320052144543e-05 loss: 0.0650 (0.0711) loss_seg: 0.0644 (0.0704) loss_lansim: 0.0613 (0.0578) loss_contra: 0.0005 (0.0049) time: 2.6586 data: 0.0054 max mem: 31630 Epoch: [20] [5210/5278] eta: 0:03:07 lr: 2.5600904464761356e-05 loss: 0.0607 (0.0710) loss_seg: 0.0601 (0.0704) loss_lansim: 0.0611 (0.0578) loss_contra: 0.0005 (0.0049) time: 2.6522 data: 0.0054 max mem: 31630 Epoch: [20] [5220/5278] eta: 0:02:40 lr: 2.559860838519645e-05 loss: 0.0631 (0.0711) loss_seg: 0.0625 (0.0704) loss_lansim: 0.0611 (0.0578) loss_contra: 0.0005 (0.0049) time: 2.6423 data: 0.0054 max mem: 31630 Epoch: [20] [5230/5278] eta: 0:02:12 lr: 2.5596312282748204e-05 loss: 0.0644 (0.0711) loss_seg: 0.0638 (0.0704) loss_lansim: 0.0605 (0.0578) loss_contra: 0.0005 (0.0049) time: 2.6379 data: 0.0054 max mem: 31630 Epoch: [20] [5240/5278] eta: 0:01:44 lr: 2.5594016157414114e-05 loss: 0.0656 (0.0711) loss_seg: 0.0650 (0.0704) loss_lansim: 0.0611 (0.0578) loss_contra: 0.0005 (0.0048) time: 2.6288 data: 0.0054 max mem: 31630 Epoch: [20] [5250/5278] eta: 0:01:17 lr: 2.559172000919168e-05 loss: 0.0619 (0.0711) loss_seg: 0.0613 (0.0704) loss_lansim: 0.0611 (0.0579) loss_contra: 0.0004 (0.0048) time: 2.6218 data: 0.0054 max mem: 31630 Epoch: [20] [5260/5278] eta: 0:00:49 lr: 2.5589423838078375e-05 loss: 0.0644 (0.0710) loss_seg: 0.0638 (0.0704) loss_lansim: 0.0612 (0.0579) loss_contra: 0.0004 (0.0048) time: 2.6107 data: 0.0054 max mem: 31630 Epoch: [20] [5270/5278] eta: 0:00:22 lr: 2.558712764407169e-05 loss: 0.0648 (0.0710) loss_seg: 0.0642 (0.0704) loss_lansim: 0.0612 (0.0579) loss_contra: 0.0004 (0.0048) time: 2.6042 data: 0.0054 max mem: 31630 Epoch: [20] Total time: 4:02:31 Test: [ 0/2573] eta: 1:05:18 time: 1.5230 data: 1.2713 max mem: 31630 Test: [ 100/2573] eta: 0:06:12 time: 0.1370 data: 0.0013 max mem: 31630 Test: [ 200/2573] eta: 0:05:47 time: 0.1424 data: 0.0014 max mem: 31630 Test: [ 300/2573] eta: 0:05:26 time: 0.1375 data: 0.0014 max mem: 31630 Test: [ 400/2573] eta: 0:05:10 time: 0.1404 data: 0.0014 max mem: 31630 Test: [ 500/2573] eta: 0:04:55 time: 0.1412 data: 0.0014 max mem: 31630 Test: [ 600/2573] eta: 0:04:41 time: 0.1427 data: 0.0014 max mem: 31630 Test: [ 700/2573] eta: 0:04:27 time: 0.1463 data: 0.0014 max mem: 31630 Test: [ 800/2573] eta: 0:04:13 time: 0.1437 data: 0.0014 max mem: 31630 Test: [ 900/2573] eta: 0:03:59 time: 0.1437 data: 0.0014 max mem: 31630 Test: [1000/2573] eta: 0:03:45 time: 0.1423 data: 0.0014 max mem: 31630 Test: [1100/2573] eta: 0:03:30 time: 0.1417 data: 0.0014 max mem: 31630 Test: [1200/2573] eta: 0:03:16 time: 0.1441 data: 0.0014 max mem: 31630 Test: [1300/2573] eta: 0:03:02 time: 0.1425 data: 0.0014 max mem: 31630 Test: [1400/2573] eta: 0:02:47 time: 0.1388 data: 0.0014 max mem: 31630 Test: [1500/2573] eta: 0:02:33 time: 0.1433 data: 0.0014 max mem: 31630 Test: [1600/2573] eta: 0:02:18 time: 0.1426 data: 0.0014 max mem: 31630 Test: [1700/2573] eta: 0:02:04 time: 0.1436 data: 0.0014 max mem: 31630 Test: [1800/2573] eta: 0:01:50 time: 0.1407 data: 0.0014 max mem: 31630 Test: [1900/2573] eta: 0:01:35 time: 0.1392 data: 0.0014 max mem: 31630 Test: [2000/2573] eta: 0:01:21 time: 0.1392 data: 0.0014 max mem: 31630 Test: [2100/2573] eta: 0:01:07 time: 0.1436 data: 0.0014 max mem: 31630 Test: [2200/2573] eta: 0:00:53 time: 0.1385 data: 0.0014 max mem: 31630 Test: [2300/2573] eta: 0:00:38 time: 0.1435 data: 0.0014 max mem: 31630 Test: [2400/2573] eta: 0:00:24 time: 0.1416 data: 0.0014 max mem: 31630 Test: [2500/2573] eta: 0:00:10 time: 0.1435 data: 0.0014 max mem: 31630 Test: Total time: 0:06:06 Final results: precision@0.5 = 66.07 precision@0.6 = 61.54 precision@0.7 = 54.66 precision@0.8 = 42.91 precision@0.9 = 20.24 overall IoU = 56.73 mean IoU = 58.72 Epoch: [21] [ 0/5278] eta: 6:09:05 lr: 2.5585290672381435e-05 loss: 0.0513 (0.0513) loss_seg: 0.0507 (0.0507) loss_lansim: 0.0563 (0.0563) loss_contra: 0.0001 (0.0001) time: 4.1959 data: 1.3848 max mem: 31630 Epoch: [21] [ 10/5278] eta: 4:10:52 lr: 2.558299443716035e-05 loss: 0.0538 (0.0599) loss_seg: 0.0526 (0.0592) loss_lansim: 0.0649 (0.0641) loss_contra: 0.0005 (0.0067) time: 2.8573 data: 0.1321 max mem: 31630 Epoch: [21] [ 20/5278] eta: 4:03:20 lr: 2.558069817903886e-05 loss: 0.0545 (0.0584) loss_seg: 0.0538 (0.0577) loss_lansim: 0.0649 (0.0641) loss_contra: 0.0005 (0.0047) time: 2.7768 data: 0.0720 max mem: 31630 Epoch: [21] [ 30/5278] eta: 4:00:18 lr: 2.5578401898014453e-05 loss: 0.0547 (0.0600) loss_seg: 0.0541 (0.0593) loss_lansim: 0.0631 (0.0638) loss_contra: 0.0003 (0.0036) time: 2.7474 data: 0.0510 max mem: 31630 Epoch: [21] [ 40/5278] eta: 3:58:56 lr: 2.5576105594084614e-05 loss: 0.0547 (0.0601) loss_seg: 0.0541 (0.0595) loss_lansim: 0.0626 (0.0634) loss_contra: 0.0004 (0.0031) time: 2.7370 data: 0.0400 max mem: 31630 Epoch: [21] [ 50/5278] eta: 3:57:17 lr: 2.557380926724683e-05 loss: 0.0563 (0.0609) loss_seg: 0.0557 (0.0602) loss_lansim: 0.0635 (0.0639) loss_contra: 0.0005 (0.0053) time: 2.7233 data: 0.0333 max mem: 31630 Epoch: [21] [ 60/5278] eta: 3:56:12 lr: 2.557151291749858e-05 loss: 0.0553 (0.0605) loss_seg: 0.0547 (0.0598) loss_lansim: 0.0638 (0.0646) loss_contra: 0.0005 (0.0045) time: 2.7160 data: 0.0287 max mem: 31630 Epoch: [21] [ 70/5278] eta: 3:54:58 lr: 2.5569216544837365e-05 loss: 0.0547 (0.0596) loss_seg: 0.0541 (0.0589) loss_lansim: 0.0640 (0.0651) loss_contra: 0.0004 (0.0062) time: 2.7071 data: 0.0255 max mem: 31630 Epoch: [21] [ 80/5278] eta: 3:54:25 lr: 2.5566920149260655e-05 loss: 0.0553 (0.0607) loss_seg: 0.0547 (0.0600) loss_lansim: 0.0640 (0.0654) loss_contra: 0.0005 (0.0062) time: 2.7059 data: 0.0230 max mem: 31630 Epoch: [21] [ 90/5278] eta: 3:53:32 lr: 2.556462373076594e-05 loss: 0.0563 (0.0613) loss_seg: 0.0557 (0.0606) loss_lansim: 0.0648 (0.0657) loss_contra: 0.0005 (0.0065) time: 2.7010 data: 0.0212 max mem: 31630 Epoch: [21] [ 100/5278] eta: 3:53:14 lr: 2.55623272893507e-05 loss: 0.0553 (0.0620) loss_seg: 0.0547 (0.0613) loss_lansim: 0.0649 (0.0657) loss_contra: 0.0006 (0.0061) time: 2.6877 data: 0.0060 max mem: 31630 Epoch: [21] [ 110/5278] eta: 3:52:40 lr: 2.5560030825012433e-05 loss: 0.0564 (0.0624) loss_seg: 0.0558 (0.0617) loss_lansim: 0.0649 (0.0661) loss_contra: 0.0006 (0.0057) time: 2.6841 data: 0.0059 max mem: 31630 Epoch: [21] [ 120/5278] eta: 3:52:07 lr: 2.55577343377486e-05 loss: 0.0564 (0.0623) loss_seg: 0.0558 (0.0616) loss_lansim: 0.0649 (0.0660) loss_contra: 0.0005 (0.0054) time: 2.6841 data: 0.0059 max mem: 31630 Epoch: [21] [ 130/5278] eta: 3:51:31 lr: 2.55554378275567e-05 loss: 0.0564 (0.0621) loss_seg: 0.0558 (0.0614) loss_lansim: 0.0650 (0.0661) loss_contra: 0.0008 (0.0052) time: 2.6832 data: 0.0057 max mem: 31630 Epoch: [21] [ 140/5278] eta: 3:50:51 lr: 2.5553141294434202e-05 loss: 0.0574 (0.0622) loss_seg: 0.0567 (0.0615) loss_lansim: 0.0661 (0.0662) loss_contra: 0.0007 (0.0050) time: 2.6791 data: 0.0056 max mem: 31630 Epoch: [21] [ 150/5278] eta: 3:50:09 lr: 2.5550844738378603e-05 loss: 0.0555 (0.0622) loss_seg: 0.0549 (0.0615) loss_lansim: 0.0670 (0.0665) loss_contra: 0.0005 (0.0047) time: 2.6776 data: 0.0055 max mem: 31630 Epoch: [21] [ 160/5278] eta: 3:49:32 lr: 2.554854815938737e-05 loss: 0.0580 (0.0629) loss_seg: 0.0573 (0.0622) loss_lansim: 0.0668 (0.0664) loss_contra: 0.0004 (0.0045) time: 2.6757 data: 0.0055 max mem: 31630 Epoch: [21] [ 170/5278] eta: 3:48:51 lr: 2.5546251557457986e-05 loss: 0.0584 (0.0629) loss_seg: 0.0578 (0.0622) loss_lansim: 0.0650 (0.0662) loss_contra: 0.0005 (0.0042) time: 2.6749 data: 0.0054 max mem: 31630 Epoch: [21] [ 180/5278] eta: 3:48:16 lr: 2.5543954932587926e-05 loss: 0.0588 (0.0632) loss_seg: 0.0582 (0.0625) loss_lansim: 0.0650 (0.0662) loss_contra: 0.0004 (0.0042) time: 2.6711 data: 0.0054 max mem: 31630 Epoch: [21] [ 190/5278] eta: 3:47:41 lr: 2.5541658284774684e-05 loss: 0.0584 (0.0633) loss_seg: 0.0578 (0.0626) loss_lansim: 0.0650 (0.0662) loss_contra: 0.0004 (0.0041) time: 2.6705 data: 0.0053 max mem: 31630 Epoch: [21] [ 200/5278] eta: 3:47:11 lr: 2.5539361614015733e-05 loss: 0.0588 (0.0632) loss_seg: 0.0582 (0.0625) loss_lansim: 0.0647 (0.0660) loss_contra: 0.0004 (0.0040) time: 2.6660 data: 0.0052 max mem: 31630 Epoch: [21] [ 210/5278] eta: 3:46:40 lr: 2.553706492030854e-05 loss: 0.0588 (0.0633) loss_seg: 0.0582 (0.0626) loss_lansim: 0.0647 (0.0660) loss_contra: 0.0004 (0.0039) time: 2.6639 data: 0.0051 max mem: 31630 Epoch: [21] [ 220/5278] eta: 3:46:14 lr: 2.5534768203650594e-05 loss: 0.0596 (0.0633) loss_seg: 0.0589 (0.0626) loss_lansim: 0.0647 (0.0659) loss_contra: 0.0004 (0.0038) time: 2.6639 data: 0.0051 max mem: 31630 Epoch: [21] [ 230/5278] eta: 3:45:43 lr: 2.5532471464039364e-05 loss: 0.0589 (0.0631) loss_seg: 0.0583 (0.0624) loss_lansim: 0.0648 (0.0661) loss_contra: 0.0002 (0.0036) time: 2.6625 data: 0.0052 max mem: 31630 Epoch: [21] [ 240/5278] eta: 3:45:09 lr: 2.5530174701472338e-05 loss: 0.0574 (0.0629) loss_seg: 0.0568 (0.0622) loss_lansim: 0.0647 (0.0661) loss_contra: 0.0003 (0.0035) time: 2.6612 data: 0.0052 max mem: 31630 Epoch: [21] [ 250/5278] eta: 3:44:45 lr: 2.552787791594698e-05 loss: 0.0574 (0.0628) loss_seg: 0.0568 (0.0621) loss_lansim: 0.0642 (0.0659) loss_contra: 0.0003 (0.0034) time: 2.6656 data: 0.0053 max mem: 31630 Epoch: [21] [ 260/5278] eta: 3:44:08 lr: 2.5525581107460766e-05 loss: 0.0570 (0.0627) loss_seg: 0.0562 (0.0620) loss_lansim: 0.0641 (0.0657) loss_contra: 0.0003 (0.0033) time: 2.6625 data: 0.0053 max mem: 31630 Epoch: [21] [ 270/5278] eta: 3:43:44 lr: 2.5523284276011178e-05 loss: 0.0570 (0.0627) loss_seg: 0.0562 (0.0620) loss_lansim: 0.0647 (0.0658) loss_contra: 0.0003 (0.0032) time: 2.6677 data: 0.0054 max mem: 31630 Epoch: [21] [ 280/5278] eta: 3:43:10 lr: 2.5520987421595687e-05 loss: 0.0559 (0.0628) loss_seg: 0.0553 (0.0621) loss_lansim: 0.0645 (0.0657) loss_contra: 0.0003 (0.0036) time: 2.6654 data: 0.0054 max mem: 31630 Epoch: [21] [ 290/5278] eta: 3:42:38 lr: 2.5518690544211766e-05 loss: 0.0574 (0.0631) loss_seg: 0.0567 (0.0624) loss_lansim: 0.0645 (0.0656) loss_contra: 0.0003 (0.0035) time: 2.6649 data: 0.0054 max mem: 31630 Epoch: [21] [ 300/5278] eta: 3:42:10 lr: 2.5516393643856888e-05 loss: 0.0570 (0.0632) loss_seg: 0.0562 (0.0625) loss_lansim: 0.0643 (0.0656) loss_contra: 0.0003 (0.0035) time: 2.6648 data: 0.0055 max mem: 31630 Epoch: [21] [ 310/5278] eta: 3:41:44 lr: 2.551409672052853e-05 loss: 0.0574 (0.0646) loss_seg: 0.0567 (0.0640) loss_lansim: 0.0640 (0.0654) loss_contra: 0.0003 (0.0036) time: 2.6667 data: 0.0055 max mem: 31630 Epoch: [21] [ 320/5278] eta: 3:41:17 lr: 2.551179977422416e-05 loss: 0.0585 (0.0645) loss_seg: 0.0578 (0.0638) loss_lansim: 0.0635 (0.0653) loss_contra: 0.0003 (0.0036) time: 2.6650 data: 0.0054 max mem: 31630 Epoch: [21] [ 330/5278] eta: 3:40:46 lr: 2.550950280494125e-05 loss: 0.0590 (0.0646) loss_seg: 0.0585 (0.0639) loss_lansim: 0.0632 (0.0653) loss_contra: 0.0003 (0.0035) time: 2.6641 data: 0.0054 max mem: 31630 Epoch: [21] [ 340/5278] eta: 3:40:20 lr: 2.550720581267727e-05 loss: 0.0590 (0.0645) loss_seg: 0.0583 (0.0638) loss_lansim: 0.0624 (0.0652) loss_contra: 0.0003 (0.0035) time: 2.6672 data: 0.0053 max mem: 31630 Epoch: [21] [ 350/5278] eta: 3:39:52 lr: 2.5504908797429687e-05 loss: 0.0601 (0.0648) loss_seg: 0.0595 (0.0641) loss_lansim: 0.0632 (0.0654) loss_contra: 0.0003 (0.0035) time: 2.6642 data: 0.0053 max mem: 31630 Epoch: [21] [ 360/5278] eta: 3:39:27 lr: 2.550261175919599e-05 loss: 0.0591 (0.0650) loss_seg: 0.0585 (0.0644) loss_lansim: 0.0637 (0.0657) loss_contra: 0.0004 (0.0034) time: 2.6704 data: 0.0053 max mem: 31630 Epoch: [21] [ 370/5278] eta: 3:38:59 lr: 2.5500314697973626e-05 loss: 0.0601 (0.0654) loss_seg: 0.0595 (0.0647) loss_lansim: 0.0641 (0.0660) loss_contra: 0.0004 (0.0035) time: 2.6679 data: 0.0053 max mem: 31630 Epoch: [21] [ 380/5278] eta: 3:38:30 lr: 2.5498017613760072e-05 loss: 0.0601 (0.0653) loss_seg: 0.0595 (0.0646) loss_lansim: 0.0658 (0.0665) loss_contra: 0.0004 (0.0034) time: 2.6702 data: 0.0052 max mem: 31630 Epoch: [21] [ 390/5278] eta: 3:38:04 lr: 2.5495720506552796e-05 loss: 0.0591 (0.0657) loss_seg: 0.0585 (0.0650) loss_lansim: 0.0681 (0.0668) loss_contra: 0.0004 (0.0034) time: 2.6729 data: 0.0051 max mem: 31630 Epoch: [21] [ 400/5278] eta: 3:37:34 lr: 2.5493423376349273e-05 loss: 0.0623 (0.0661) loss_seg: 0.0615 (0.0654) loss_lansim: 0.0708 (0.0670) loss_contra: 0.0004 (0.0034) time: 2.6715 data: 0.0051 max mem: 31630 Epoch: [21] [ 410/5278] eta: 3:37:10 lr: 2.549112622314696e-05 loss: 0.0601 (0.0660) loss_seg: 0.0595 (0.0653) loss_lansim: 0.0738 (0.0673) loss_contra: 0.0003 (0.0034) time: 2.6724 data: 0.0051 max mem: 31630 Epoch: [21] [ 420/5278] eta: 3:36:39 lr: 2.5488829046943323e-05 loss: 0.0591 (0.0659) loss_seg: 0.0585 (0.0652) loss_lansim: 0.0750 (0.0677) loss_contra: 0.0003 (0.0033) time: 2.6689 data: 0.0051 max mem: 31630 Epoch: [21] [ 430/5278] eta: 3:36:13 lr: 2.548653184773584e-05 loss: 0.0589 (0.0656) loss_seg: 0.0583 (0.0649) loss_lansim: 0.0759 (0.0679) loss_contra: 0.0003 (0.0035) time: 2.6724 data: 0.0051 max mem: 31630 Epoch: [21] [ 440/5278] eta: 3:35:48 lr: 2.548423462552197e-05 loss: 0.0591 (0.0656) loss_seg: 0.0584 (0.0648) loss_lansim: 0.0776 (0.0681) loss_contra: 0.0003 (0.0035) time: 2.6729 data: 0.0050 max mem: 31630 Epoch: [21] [ 450/5278] eta: 3:35:19 lr: 2.548193738029918e-05 loss: 0.0581 (0.0654) loss_seg: 0.0574 (0.0646) loss_lansim: 0.0780 (0.0683) loss_contra: 0.0003 (0.0034) time: 2.6724 data: 0.0050 max mem: 31630 Epoch: [21] [ 460/5278] eta: 3:34:57 lr: 2.5479640112064934e-05 loss: 0.0575 (0.0652) loss_seg: 0.0568 (0.0645) loss_lansim: 0.0789 (0.0686) loss_contra: 0.0002 (0.0035) time: 2.6754 data: 0.0050 max mem: 31630 Epoch: [21] [ 470/5278] eta: 3:34:28 lr: 2.547734282081669e-05 loss: 0.0581 (0.0652) loss_seg: 0.0574 (0.0645) loss_lansim: 0.0789 (0.0688) loss_contra: 0.0002 (0.0034) time: 2.6741 data: 0.0050 max mem: 31630 Epoch: [21] [ 480/5278] eta: 3:34:01 lr: 2.547504550655192e-05 loss: 0.0589 (0.0653) loss_seg: 0.0581 (0.0646) loss_lansim: 0.0789 (0.0690) loss_contra: 0.0002 (0.0034) time: 2.6754 data: 0.0050 max mem: 31630 Epoch: [21] [ 490/5278] eta: 3:33:33 lr: 2.547274816926809e-05 loss: 0.0581 (0.0653) loss_seg: 0.0574 (0.0646) loss_lansim: 0.0789 (0.0692) loss_contra: 0.0003 (0.0034) time: 2.6736 data: 0.0050 max mem: 31630 Epoch: [21] [ 500/5278] eta: 3:33:10 lr: 2.5470450808962648e-05 loss: 0.0561 (0.0651) loss_seg: 0.0554 (0.0643) loss_lansim: 0.0795 (0.0694) loss_contra: 0.0003 (0.0033) time: 2.6793 data: 0.0051 max mem: 31630 Epoch: [21] [ 510/5278] eta: 3:32:39 lr: 2.546815342563307e-05 loss: 0.0540 (0.0648) loss_seg: 0.0532 (0.0641) loss_lansim: 0.0797 (0.0696) loss_contra: 0.0003 (0.0033) time: 2.6736 data: 0.0051 max mem: 31630 Epoch: [21] [ 520/5278] eta: 3:32:13 lr: 2.5465856019276806e-05 loss: 0.0555 (0.0650) loss_seg: 0.0547 (0.0643) loss_lansim: 0.0789 (0.0697) loss_contra: 0.0003 (0.0033) time: 2.6782 data: 0.0051 max mem: 31630 Epoch: [21] [ 530/5278] eta: 3:31:45 lr: 2.5463558589891335e-05 loss: 0.0563 (0.0651) loss_seg: 0.0554 (0.0644) loss_lansim: 0.0789 (0.0699) loss_contra: 0.0004 (0.0033) time: 2.6750 data: 0.0051 max mem: 31630 Epoch: [21] [ 540/5278] eta: 3:31:16 lr: 2.5461261137474097e-05 loss: 0.0561 (0.0651) loss_seg: 0.0554 (0.0644) loss_lansim: 0.0782 (0.0699) loss_contra: 0.0004 (0.0033) time: 2.6715 data: 0.0051 max mem: 31630 Epoch: [21] [ 550/5278] eta: 3:30:51 lr: 2.545896366202256e-05 loss: 0.0573 (0.0650) loss_seg: 0.0565 (0.0643) loss_lansim: 0.0781 (0.0700) loss_contra: 0.0004 (0.0033) time: 2.6758 data: 0.0051 max mem: 31630 Epoch: [21] [ 560/5278] eta: 3:30:21 lr: 2.5456666163534188e-05 loss: 0.0564 (0.0648) loss_seg: 0.0556 (0.0641) loss_lansim: 0.0779 (0.0702) loss_contra: 0.0004 (0.0033) time: 2.6670 data: 0.0051 max mem: 31630 Epoch: [21] [ 570/5278] eta: 3:29:56 lr: 2.5454368642006438e-05 loss: 0.0573 (0.0651) loss_seg: 0.0565 (0.0644) loss_lansim: 0.0775 (0.0703) loss_contra: 0.0005 (0.0033) time: 2.6712 data: 0.0051 max mem: 31630 Epoch: [21] [ 580/5278] eta: 3:29:28 lr: 2.5452071097436765e-05 loss: 0.0573 (0.0654) loss_seg: 0.0566 (0.0647) loss_lansim: 0.0766 (0.0704) loss_contra: 0.0005 (0.0035) time: 2.6694 data: 0.0051 max mem: 31630 Epoch: [21] [ 590/5278] eta: 3:29:03 lr: 2.5449773529822623e-05 loss: 0.0573 (0.0655) loss_seg: 0.0565 (0.0647) loss_lansim: 0.0761 (0.0704) loss_contra: 0.0005 (0.0036) time: 2.6731 data: 0.0051 max mem: 31630 Epoch: [21] [ 600/5278] eta: 3:28:32 lr: 2.5447475939161473e-05 loss: 0.0589 (0.0655) loss_seg: 0.0581 (0.0647) loss_lansim: 0.0756 (0.0706) loss_contra: 0.0005 (0.0036) time: 2.6644 data: 0.0050 max mem: 31630 Epoch: [21] [ 610/5278] eta: 3:28:04 lr: 2.5445178325450785e-05 loss: 0.0600 (0.0655) loss_seg: 0.0591 (0.0648) loss_lansim: 0.0755 (0.0707) loss_contra: 0.0006 (0.0036) time: 2.6667 data: 0.0050 max mem: 31630 Epoch: [21] [ 620/5278] eta: 3:27:37 lr: 2.5442880688687993e-05 loss: 0.0600 (0.0655) loss_seg: 0.0591 (0.0648) loss_lansim: 0.0751 (0.0707) loss_contra: 0.0006 (0.0036) time: 2.6645 data: 0.0050 max mem: 31630 Epoch: [21] [ 630/5278] eta: 3:27:08 lr: 2.5440583028870568e-05 loss: 0.0604 (0.0656) loss_seg: 0.0595 (0.0649) loss_lansim: 0.0750 (0.0708) loss_contra: 0.0005 (0.0036) time: 2.6642 data: 0.0050 max mem: 31630 Epoch: [21] [ 640/5278] eta: 3:26:40 lr: 2.5438285345995956e-05 loss: 0.0600 (0.0656) loss_seg: 0.0592 (0.0649) loss_lansim: 0.0751 (0.0708) loss_contra: 0.0005 (0.0036) time: 2.6647 data: 0.0049 max mem: 31630 Epoch: [21] [ 650/5278] eta: 3:26:12 lr: 2.5435987640061622e-05 loss: 0.0600 (0.0655) loss_seg: 0.0592 (0.0647) loss_lansim: 0.0750 (0.0709) loss_contra: 0.0005 (0.0035) time: 2.6598 data: 0.0049 max mem: 31630 Epoch: [21] [ 660/5278] eta: 3:25:45 lr: 2.5433689911065006e-05 loss: 0.0606 (0.0657) loss_seg: 0.0597 (0.0649) loss_lansim: 0.0737 (0.0709) loss_contra: 0.0006 (0.0038) time: 2.6636 data: 0.0049 max mem: 31630 Epoch: [21] [ 670/5278] eta: 3:25:17 lr: 2.543139215900357e-05 loss: 0.0608 (0.0661) loss_seg: 0.0599 (0.0653) loss_lansim: 0.0737 (0.0710) loss_contra: 0.0005 (0.0038) time: 2.6591 data: 0.0049 max mem: 31630 Epoch: [21] [ 680/5278] eta: 3:24:51 lr: 2.542909438387477e-05 loss: 0.0606 (0.0660) loss_seg: 0.0597 (0.0653) loss_lansim: 0.0749 (0.0711) loss_contra: 0.0006 (0.0038) time: 2.6611 data: 0.0049 max mem: 31630 Epoch: [21] [ 690/5278] eta: 3:24:23 lr: 2.542679658567605e-05 loss: 0.0608 (0.0661) loss_seg: 0.0600 (0.0654) loss_lansim: 0.0754 (0.0712) loss_contra: 0.0006 (0.0038) time: 2.6568 data: 0.0049 max mem: 31630 Epoch: [21] [ 700/5278] eta: 3:23:58 lr: 2.5424498764404868e-05 loss: 0.0627 (0.0662) loss_seg: 0.0620 (0.0654) loss_lansim: 0.0763 (0.0714) loss_contra: 0.0005 (0.0038) time: 2.6649 data: 0.0049 max mem: 31630 Epoch: [21] [ 710/5278] eta: 3:23:30 lr: 2.5422200920058675e-05 loss: 0.0656 (0.0665) loss_seg: 0.0648 (0.0657) loss_lansim: 0.0775 (0.0715) loss_contra: 0.0004 (0.0038) time: 2.6641 data: 0.0050 max mem: 31630 Epoch: [21] [ 720/5278] eta: 3:23:04 lr: 2.541990305263492e-05 loss: 0.0677 (0.0665) loss_seg: 0.0668 (0.0657) loss_lansim: 0.0778 (0.0716) loss_contra: 0.0004 (0.0038) time: 2.6653 data: 0.0050 max mem: 31630 Epoch: [21] [ 730/5278] eta: 3:22:35 lr: 2.5417605162131046e-05 loss: 0.0656 (0.0665) loss_seg: 0.0648 (0.0657) loss_lansim: 0.0785 (0.0717) loss_contra: 0.0004 (0.0037) time: 2.6643 data: 0.0050 max mem: 31630 Epoch: [21] [ 740/5278] eta: 3:22:11 lr: 2.541530724854452e-05 loss: 0.0677 (0.0664) loss_seg: 0.0668 (0.0656) loss_lansim: 0.0788 (0.0718) loss_contra: 0.0004 (0.0037) time: 2.6697 data: 0.0050 max mem: 31630 Epoch: [21] [ 750/5278] eta: 3:21:41 lr: 2.541300931187278e-05 loss: 0.0679 (0.0665) loss_seg: 0.0671 (0.0657) loss_lansim: 0.0791 (0.0719) loss_contra: 0.0005 (0.0041) time: 2.6670 data: 0.0050 max mem: 31630 Epoch: [21] [ 760/5278] eta: 3:21:14 lr: 2.5410711352113274e-05 loss: 0.0656 (0.0663) loss_seg: 0.0648 (0.0656) loss_lansim: 0.0798 (0.0720) loss_contra: 0.0004 (0.0041) time: 2.6666 data: 0.0050 max mem: 31630 Epoch: [21] [ 770/5278] eta: 3:20:45 lr: 2.5408413369263452e-05 loss: 0.0633 (0.0662) loss_seg: 0.0623 (0.0655) loss_lansim: 0.0791 (0.0721) loss_contra: 0.0004 (0.0040) time: 2.6650 data: 0.0050 max mem: 31630 Epoch: [21] [ 780/5278] eta: 3:20:19 lr: 2.540611536332077e-05 loss: 0.0629 (0.0662) loss_seg: 0.0619 (0.0654) loss_lansim: 0.0797 (0.0723) loss_contra: 0.0004 (0.0040) time: 2.6646 data: 0.0050 max mem: 31630 Epoch: [21] [ 790/5278] eta: 3:19:51 lr: 2.540381733428266e-05 loss: 0.0615 (0.0660) loss_seg: 0.0596 (0.0652) loss_lansim: 0.0790 (0.0724) loss_contra: 0.0004 (0.0041) time: 2.6658 data: 0.0050 max mem: 31630 Epoch: [21] [ 800/5278] eta: 3:19:25 lr: 2.540151928214657e-05 loss: 0.0604 (0.0659) loss_seg: 0.0596 (0.0652) loss_lansim: 0.0783 (0.0724) loss_contra: 0.0005 (0.0040) time: 2.6630 data: 0.0050 max mem: 31630 Epoch: [21] [ 810/5278] eta: 3:18:58 lr: 2.5399221206909956e-05 loss: 0.0563 (0.0660) loss_seg: 0.0555 (0.0652) loss_lansim: 0.0775 (0.0725) loss_contra: 0.0005 (0.0040) time: 2.6641 data: 0.0050 max mem: 31630 Epoch: [21] [ 820/5278] eta: 3:18:30 lr: 2.5396923108570264e-05 loss: 0.0563 (0.0660) loss_seg: 0.0555 (0.0652) loss_lansim: 0.0778 (0.0725) loss_contra: 0.0006 (0.0042) time: 2.6613 data: 0.0050 max mem: 31630 Epoch: [21] [ 830/5278] eta: 3:18:03 lr: 2.5394624987124927e-05 loss: 0.0572 (0.0660) loss_seg: 0.0564 (0.0652) loss_lansim: 0.0774 (0.0726) loss_contra: 0.0006 (0.0041) time: 2.6643 data: 0.0051 max mem: 31630 Epoch: [21] [ 840/5278] eta: 3:17:37 lr: 2.5392326842571396e-05 loss: 0.0609 (0.0661) loss_seg: 0.0596 (0.0654) loss_lansim: 0.0770 (0.0726) loss_contra: 0.0006 (0.0041) time: 2.6617 data: 0.0052 max mem: 31630 Epoch: [21] [ 850/5278] eta: 3:17:11 lr: 2.5390028674907117e-05 loss: 0.0604 (0.0662) loss_seg: 0.0596 (0.0654) loss_lansim: 0.0763 (0.0727) loss_contra: 0.0005 (0.0041) time: 2.6663 data: 0.0052 max mem: 31630 Epoch: [21] [ 860/5278] eta: 3:16:43 lr: 2.5387730484129534e-05 loss: 0.0615 (0.0662) loss_seg: 0.0607 (0.0654) loss_lansim: 0.0759 (0.0727) loss_contra: 0.0005 (0.0040) time: 2.6646 data: 0.0053 max mem: 31630 Epoch: [21] [ 870/5278] eta: 3:16:17 lr: 2.5385432270236087e-05 loss: 0.0619 (0.0662) loss_seg: 0.0608 (0.0654) loss_lansim: 0.0756 (0.0727) loss_contra: 0.0006 (0.0040) time: 2.6691 data: 0.0054 max mem: 31630 Epoch: [21] [ 880/5278] eta: 3:15:49 lr: 2.538313403322421e-05 loss: 0.0624 (0.0663) loss_seg: 0.0616 (0.0655) loss_lansim: 0.0756 (0.0728) loss_contra: 0.0005 (0.0040) time: 2.6670 data: 0.0054 max mem: 31630 Epoch: [21] [ 890/5278] eta: 3:15:21 lr: 2.5380835773091354e-05 loss: 0.0647 (0.0664) loss_seg: 0.0641 (0.0656) loss_lansim: 0.0750 (0.0727) loss_contra: 0.0005 (0.0040) time: 2.6659 data: 0.0055 max mem: 31630 Epoch: [21] [ 900/5278] eta: 3:14:54 lr: 2.5378537489834968e-05 loss: 0.0666 (0.0666) loss_seg: 0.0658 (0.0658) loss_lansim: 0.0749 (0.0728) loss_contra: 0.0004 (0.0039) time: 2.6643 data: 0.0055 max mem: 31630 Epoch: [21] [ 910/5278] eta: 3:14:26 lr: 2.5376239183452475e-05 loss: 0.0674 (0.0666) loss_seg: 0.0667 (0.0659) loss_lansim: 0.0753 (0.0728) loss_contra: 0.0005 (0.0039) time: 2.6618 data: 0.0055 max mem: 31630 Epoch: [21] [ 920/5278] eta: 3:14:01 lr: 2.5373940853941325e-05 loss: 0.0666 (0.0666) loss_seg: 0.0658 (0.0659) loss_lansim: 0.0749 (0.0728) loss_contra: 0.0005 (0.0039) time: 2.6678 data: 0.0054 max mem: 31630 Epoch: [21] [ 930/5278] eta: 3:13:33 lr: 2.5371642501298955e-05 loss: 0.0661 (0.0666) loss_seg: 0.0653 (0.0659) loss_lansim: 0.0750 (0.0729) loss_contra: 0.0005 (0.0039) time: 2.6660 data: 0.0054 max mem: 31630 Epoch: [21] [ 940/5278] eta: 3:13:07 lr: 2.5369344125522803e-05 loss: 0.0641 (0.0666) loss_seg: 0.0633 (0.0658) loss_lansim: 0.0753 (0.0730) loss_contra: 0.0004 (0.0039) time: 2.6650 data: 0.0053 max mem: 31630 Epoch: [21] [ 950/5278] eta: 3:12:40 lr: 2.5367045726610316e-05 loss: 0.0637 (0.0665) loss_seg: 0.0629 (0.0658) loss_lansim: 0.0760 (0.0731) loss_contra: 0.0005 (0.0039) time: 2.6646 data: 0.0052 max mem: 31630 Epoch: [21] [ 960/5278] eta: 3:12:14 lr: 2.5364747304558922e-05 loss: 0.0628 (0.0665) loss_seg: 0.0620 (0.0657) loss_lansim: 0.0767 (0.0732) loss_contra: 0.0005 (0.0041) time: 2.6686 data: 0.0051 max mem: 31630 Epoch: [21] [ 970/5278] eta: 3:11:47 lr: 2.5362448859366056e-05 loss: 0.0627 (0.0666) loss_seg: 0.0619 (0.0659) loss_lansim: 0.0772 (0.0733) loss_contra: 0.0005 (0.0041) time: 2.6658 data: 0.0051 max mem: 31630 Epoch: [21] [ 980/5278] eta: 3:11:20 lr: 2.5360150391029163e-05 loss: 0.0633 (0.0667) loss_seg: 0.0625 (0.0659) loss_lansim: 0.0774 (0.0733) loss_contra: 0.0004 (0.0041) time: 2.6685 data: 0.0051 max mem: 31630 Epoch: [21] [ 990/5278] eta: 3:10:52 lr: 2.5357851899545682e-05 loss: 0.0628 (0.0666) loss_seg: 0.0620 (0.0659) loss_lansim: 0.0785 (0.0734) loss_contra: 0.0004 (0.0040) time: 2.6672 data: 0.0050 max mem: 31630 Epoch: [21] [1000/5278] eta: 3:10:26 lr: 2.5355553384913038e-05 loss: 0.0607 (0.0666) loss_seg: 0.0594 (0.0658) loss_lansim: 0.0795 (0.0736) loss_contra: 0.0005 (0.0040) time: 2.6685 data: 0.0050 max mem: 31630 Epoch: [21] [1010/5278] eta: 3:09:58 lr: 2.5353254847128666e-05 loss: 0.0602 (0.0667) loss_seg: 0.0593 (0.0659) loss_lansim: 0.0807 (0.0738) loss_contra: 0.0004 (0.0040) time: 2.6695 data: 0.0050 max mem: 31630 Epoch: [21] [1020/5278] eta: 3:09:30 lr: 2.5350956286190008e-05 loss: 0.0602 (0.0666) loss_seg: 0.0592 (0.0658) loss_lansim: 0.0838 (0.0740) loss_contra: 0.0004 (0.0040) time: 2.6625 data: 0.0050 max mem: 31630 Epoch: [21] [1030/5278] eta: 3:09:03 lr: 2.5348657702094503e-05 loss: 0.0602 (0.0666) loss_seg: 0.0586 (0.0658) loss_lansim: 0.0852 (0.0742) loss_contra: 0.0004 (0.0039) time: 2.6634 data: 0.0050 max mem: 31630 Epoch: [21] [1040/5278] eta: 3:08:35 lr: 2.534635909483957e-05 loss: 0.0603 (0.0666) loss_seg: 0.0594 (0.0658) loss_lansim: 0.0862 (0.0744) loss_contra: 0.0004 (0.0039) time: 2.6593 data: 0.0050 max mem: 31630 Epoch: [21] [1050/5278] eta: 3:08:08 lr: 2.5344060464422653e-05 loss: 0.0612 (0.0666) loss_seg: 0.0603 (0.0659) loss_lansim: 0.0874 (0.0746) loss_contra: 0.0004 (0.0039) time: 2.6598 data: 0.0050 max mem: 31630 Epoch: [21] [1060/5278] eta: 3:07:41 lr: 2.5341761810841176e-05 loss: 0.0617 (0.0666) loss_seg: 0.0607 (0.0659) loss_lansim: 0.0888 (0.0747) loss_contra: 0.0004 (0.0039) time: 2.6561 data: 0.0051 max mem: 31630 Epoch: [21] [1070/5278] eta: 3:07:14 lr: 2.5339463134092582e-05 loss: 0.0617 (0.0666) loss_seg: 0.0607 (0.0658) loss_lansim: 0.0896 (0.0748) loss_contra: 0.0003 (0.0039) time: 2.6563 data: 0.0053 max mem: 31630 Epoch: [21] [1080/5278] eta: 3:06:47 lr: 2.5337164434174293e-05 loss: 0.0612 (0.0666) loss_seg: 0.0604 (0.0658) loss_lansim: 0.0902 (0.0750) loss_contra: 0.0004 (0.0038) time: 2.6556 data: 0.0054 max mem: 31630 Epoch: [21] [1090/5278] eta: 3:06:20 lr: 2.5334865711083737e-05 loss: 0.0619 (0.0666) loss_seg: 0.0610 (0.0659) loss_lansim: 0.0902 (0.0751) loss_contra: 0.0004 (0.0038) time: 2.6571 data: 0.0054 max mem: 31630 Epoch: [21] [1100/5278] eta: 3:05:54 lr: 2.5332566964818356e-05 loss: 0.0623 (0.0666) loss_seg: 0.0615 (0.0658) loss_lansim: 0.0899 (0.0752) loss_contra: 0.0004 (0.0038) time: 2.6585 data: 0.0054 max mem: 31630 Epoch: [21] [1110/5278] eta: 3:05:27 lr: 2.5330268195375572e-05 loss: 0.0629 (0.0667) loss_seg: 0.0619 (0.0659) loss_lansim: 0.0898 (0.0753) loss_contra: 0.0003 (0.0038) time: 2.6592 data: 0.0055 max mem: 31630 Epoch: [21] [1120/5278] eta: 3:05:01 lr: 2.5327969402752817e-05 loss: 0.0630 (0.0667) loss_seg: 0.0622 (0.0659) loss_lansim: 0.0889 (0.0754) loss_contra: 0.0003 (0.0038) time: 2.6655 data: 0.0055 max mem: 31630 Epoch: [21] [1130/5278] eta: 3:04:32 lr: 2.5325670586947515e-05 loss: 0.0631 (0.0666) loss_seg: 0.0623 (0.0658) loss_lansim: 0.0877 (0.0754) loss_contra: 0.0003 (0.0038) time: 2.6597 data: 0.0055 max mem: 31630 Epoch: [21] [1140/5278] eta: 3:04:05 lr: 2.53233717479571e-05 loss: 0.0629 (0.0666) loss_seg: 0.0619 (0.0658) loss_lansim: 0.0866 (0.0755) loss_contra: 0.0003 (0.0037) time: 2.6621 data: 0.0055 max mem: 31630 Epoch: [21] [1150/5278] eta: 3:03:39 lr: 2.5321072885778996e-05 loss: 0.0628 (0.0665) loss_seg: 0.0619 (0.0658) loss_lansim: 0.0854 (0.0756) loss_contra: 0.0003 (0.0037) time: 2.6629 data: 0.0057 max mem: 31630 Epoch: [21] [1160/5278] eta: 3:03:11 lr: 2.5318774000410633e-05 loss: 0.0626 (0.0665) loss_seg: 0.0618 (0.0657) loss_lansim: 0.0840 (0.0756) loss_contra: 0.0003 (0.0037) time: 2.6621 data: 0.0057 max mem: 31630 Epoch: [21] [1170/5278] eta: 3:02:44 lr: 2.531647509184943e-05 loss: 0.0629 (0.0665) loss_seg: 0.0619 (0.0658) loss_lansim: 0.0836 (0.0757) loss_contra: 0.0003 (0.0037) time: 2.6618 data: 0.0055 max mem: 31630 Epoch: [21] [1180/5278] eta: 3:02:16 lr: 2.5314176160092822e-05 loss: 0.0629 (0.0665) loss_seg: 0.0619 (0.0658) loss_lansim: 0.0820 (0.0757) loss_contra: 0.0003 (0.0037) time: 2.6565 data: 0.0054 max mem: 31630 Epoch: [21] [1190/5278] eta: 3:01:48 lr: 2.5311877205138228e-05 loss: 0.0628 (0.0666) loss_seg: 0.0619 (0.0658) loss_lansim: 0.0802 (0.0757) loss_contra: 0.0003 (0.0037) time: 2.6564 data: 0.0054 max mem: 31630 Epoch: [21] [1200/5278] eta: 3:01:21 lr: 2.5309578226983077e-05 loss: 0.0626 (0.0665) loss_seg: 0.0618 (0.0657) loss_lansim: 0.0796 (0.0757) loss_contra: 0.0003 (0.0037) time: 2.6521 data: 0.0053 max mem: 31630 Epoch: [21] [1210/5278] eta: 3:00:53 lr: 2.5307279225624793e-05 loss: 0.0607 (0.0666) loss_seg: 0.0598 (0.0658) loss_lansim: 0.0792 (0.0757) loss_contra: 0.0003 (0.0037) time: 2.6507 data: 0.0053 max mem: 31630 Epoch: [21] [1220/5278] eta: 3:00:27 lr: 2.5304980201060795e-05 loss: 0.0600 (0.0665) loss_seg: 0.0592 (0.0657) loss_lansim: 0.0787 (0.0757) loss_contra: 0.0003 (0.0037) time: 2.6471 data: 0.0053 max mem: 31630 Epoch: [21] [1230/5278] eta: 2:59:59 lr: 2.530268115328851e-05 loss: 0.0588 (0.0664) loss_seg: 0.0580 (0.0656) loss_lansim: 0.0777 (0.0757) loss_contra: 0.0003 (0.0037) time: 2.6511 data: 0.0052 max mem: 31630 Epoch: [21] [1240/5278] eta: 2:59:31 lr: 2.5300382082305368e-05 loss: 0.0594 (0.0666) loss_seg: 0.0586 (0.0658) loss_lansim: 0.0776 (0.0758) loss_contra: 0.0003 (0.0036) time: 2.6481 data: 0.0052 max mem: 31630 Epoch: [21] [1250/5278] eta: 2:59:05 lr: 2.5298082988108773e-05 loss: 0.0607 (0.0666) loss_seg: 0.0598 (0.0658) loss_lansim: 0.0787 (0.0758) loss_contra: 0.0003 (0.0036) time: 2.6470 data: 0.0051 max mem: 31630 Epoch: [21] [1260/5278] eta: 2:58:37 lr: 2.529578387069616e-05 loss: 0.0607 (0.0666) loss_seg: 0.0598 (0.0658) loss_lansim: 0.0789 (0.0759) loss_contra: 0.0003 (0.0036) time: 2.6460 data: 0.0050 max mem: 31630 Epoch: [21] [1270/5278] eta: 2:58:11 lr: 2.529348473006495e-05 loss: 0.0594 (0.0666) loss_seg: 0.0586 (0.0658) loss_lansim: 0.0789 (0.0760) loss_contra: 0.0003 (0.0036) time: 2.6496 data: 0.0050 max mem: 31630 Epoch: [21] [1280/5278] eta: 2:57:43 lr: 2.5291185566212555e-05 loss: 0.0588 (0.0666) loss_seg: 0.0580 (0.0658) loss_lansim: 0.0793 (0.0760) loss_contra: 0.0003 (0.0036) time: 2.6501 data: 0.0050 max mem: 31630 Epoch: [21] [1290/5278] eta: 2:57:17 lr: 2.5288886379136402e-05 loss: 0.0584 (0.0665) loss_seg: 0.0576 (0.0657) loss_lansim: 0.0792 (0.0760) loss_contra: 0.0003 (0.0036) time: 2.6539 data: 0.0050 max mem: 31630 Epoch: [21] [1300/5278] eta: 2:56:50 lr: 2.5286587168833908e-05 loss: 0.0594 (0.0666) loss_seg: 0.0586 (0.0658) loss_lansim: 0.0781 (0.0760) loss_contra: 0.0003 (0.0036) time: 2.6533 data: 0.0051 max mem: 31630 Epoch: [21] [1310/5278] eta: 2:56:22 lr: 2.5284287935302494e-05 loss: 0.0607 (0.0665) loss_seg: 0.0599 (0.0657) loss_lansim: 0.0772 (0.0760) loss_contra: 0.0002 (0.0036) time: 2.6521 data: 0.0051 max mem: 31630 Epoch: [21] [1320/5278] eta: 2:55:55 lr: 2.5281988678539575e-05 loss: 0.0617 (0.0665) loss_seg: 0.0607 (0.0657) loss_lansim: 0.0784 (0.0760) loss_contra: 0.0002 (0.0036) time: 2.6508 data: 0.0051 max mem: 31630 Epoch: [21] [1330/5278] eta: 2:55:27 lr: 2.5279689398542566e-05 loss: 0.0621 (0.0666) loss_seg: 0.0613 (0.0658) loss_lansim: 0.0781 (0.0760) loss_contra: 0.0002 (0.0035) time: 2.6504 data: 0.0051 max mem: 31630 Epoch: [21] [1340/5278] eta: 2:55:00 lr: 2.5277390095308895e-05 loss: 0.0617 (0.0666) loss_seg: 0.0607 (0.0658) loss_lansim: 0.0773 (0.0760) loss_contra: 0.0002 (0.0035) time: 2.6516 data: 0.0051 max mem: 31630 Epoch: [21] [1350/5278] eta: 2:54:33 lr: 2.5275090768835967e-05 loss: 0.0617 (0.0666) loss_seg: 0.0607 (0.0658) loss_lansim: 0.0765 (0.0760) loss_contra: 0.0002 (0.0035) time: 2.6508 data: 0.0051 max mem: 31630 Epoch: [21] [1360/5278] eta: 2:54:06 lr: 2.5272791419121204e-05 loss: 0.0618 (0.0667) loss_seg: 0.0611 (0.0659) loss_lansim: 0.0759 (0.0760) loss_contra: 0.0002 (0.0035) time: 2.6522 data: 0.0051 max mem: 31630 Epoch: [21] [1370/5278] eta: 2:53:39 lr: 2.527049204616202e-05 loss: 0.0618 (0.0667) loss_seg: 0.0611 (0.0659) loss_lansim: 0.0756 (0.0760) loss_contra: 0.0002 (0.0034) time: 2.6497 data: 0.0051 max mem: 31630 Epoch: [21] [1380/5278] eta: 2:53:13 lr: 2.526819264995583e-05 loss: 0.0621 (0.0667) loss_seg: 0.0613 (0.0659) loss_lansim: 0.0758 (0.0760) loss_contra: 0.0002 (0.0035) time: 2.6545 data: 0.0051 max mem: 31630 Epoch: [21] [1390/5278] eta: 2:52:45 lr: 2.526589323050005e-05 loss: 0.0634 (0.0668) loss_seg: 0.0626 (0.0660) loss_lansim: 0.0762 (0.0761) loss_contra: 0.0002 (0.0034) time: 2.6492 data: 0.0050 max mem: 31630 Epoch: [21] [1400/5278] eta: 2:52:18 lr: 2.5263593787792094e-05 loss: 0.0616 (0.0668) loss_seg: 0.0608 (0.0660) loss_lansim: 0.0762 (0.0761) loss_contra: 0.0002 (0.0034) time: 2.6509 data: 0.0050 max mem: 31630 Epoch: [21] [1410/5278] eta: 2:51:51 lr: 2.526129432182937e-05 loss: 0.0616 (0.0668) loss_seg: 0.0608 (0.0660) loss_lansim: 0.0762 (0.0760) loss_contra: 0.0003 (0.0034) time: 2.6519 data: 0.0050 max mem: 31630 Epoch: [21] [1420/5278] eta: 2:51:24 lr: 2.52589948326093e-05 loss: 0.0610 (0.0667) loss_seg: 0.0603 (0.0659) loss_lansim: 0.0753 (0.0760) loss_contra: 0.0003 (0.0034) time: 2.6518 data: 0.0050 max mem: 31630 Epoch: [21] [1430/5278] eta: 2:50:58 lr: 2.5256695320129287e-05 loss: 0.0596 (0.0667) loss_seg: 0.0589 (0.0659) loss_lansim: 0.0759 (0.0760) loss_contra: 0.0003 (0.0034) time: 2.6555 data: 0.0050 max mem: 31630 Epoch: [21] [1440/5278] eta: 2:50:31 lr: 2.5254395784386742e-05 loss: 0.0591 (0.0667) loss_seg: 0.0583 (0.0659) loss_lansim: 0.0756 (0.0760) loss_contra: 0.0003 (0.0034) time: 2.6572 data: 0.0050 max mem: 31630 Epoch: [21] [1450/5278] eta: 2:50:04 lr: 2.525209622537909e-05 loss: 0.0574 (0.0667) loss_seg: 0.0566 (0.0659) loss_lansim: 0.0755 (0.0760) loss_contra: 0.0003 (0.0034) time: 2.6578 data: 0.0051 max mem: 31630 Epoch: [21] [1460/5278] eta: 2:49:37 lr: 2.5249796643103723e-05 loss: 0.0572 (0.0667) loss_seg: 0.0565 (0.0659) loss_lansim: 0.0750 (0.0760) loss_contra: 0.0003 (0.0034) time: 2.6578 data: 0.0051 max mem: 31630 Epoch: [21] [1470/5278] eta: 2:49:10 lr: 2.5247497037558065e-05 loss: 0.0574 (0.0667) loss_seg: 0.0566 (0.0659) loss_lansim: 0.0743 (0.0760) loss_contra: 0.0003 (0.0034) time: 2.6573 data: 0.0051 max mem: 31630 Epoch: [21] [1480/5278] eta: 2:48:43 lr: 2.5245197408739518e-05 loss: 0.0571 (0.0666) loss_seg: 0.0563 (0.0658) loss_lansim: 0.0737 (0.0759) loss_contra: 0.0003 (0.0034) time: 2.6541 data: 0.0051 max mem: 31630 Epoch: [21] [1490/5278] eta: 2:48:15 lr: 2.52428977566455e-05 loss: 0.0564 (0.0665) loss_seg: 0.0555 (0.0657) loss_lansim: 0.0724 (0.0759) loss_contra: 0.0004 (0.0034) time: 2.6527 data: 0.0051 max mem: 31630 Epoch: [21] [1500/5278] eta: 2:47:48 lr: 2.5240598081273402e-05 loss: 0.0565 (0.0665) loss_seg: 0.0558 (0.0657) loss_lansim: 0.0722 (0.0758) loss_contra: 0.0004 (0.0034) time: 2.6511 data: 0.0051 max mem: 31630 Epoch: [21] [1510/5278] eta: 2:47:20 lr: 2.5238298382620652e-05 loss: 0.0565 (0.0665) loss_seg: 0.0558 (0.0657) loss_lansim: 0.0722 (0.0758) loss_contra: 0.0004 (0.0034) time: 2.6489 data: 0.0051 max mem: 31630 Epoch: [21] [1520/5278] eta: 2:46:53 lr: 2.523599866068464e-05 loss: 0.0587 (0.0665) loss_seg: 0.0580 (0.0657) loss_lansim: 0.0714 (0.0758) loss_contra: 0.0004 (0.0034) time: 2.6495 data: 0.0051 max mem: 31630 Epoch: [21] [1530/5278] eta: 2:46:26 lr: 2.5233698915462787e-05 loss: 0.0583 (0.0664) loss_seg: 0.0576 (0.0656) loss_lansim: 0.0704 (0.0757) loss_contra: 0.0004 (0.0034) time: 2.6464 data: 0.0051 max mem: 31630 Epoch: [21] [1540/5278] eta: 2:45:58 lr: 2.5231399146952496e-05 loss: 0.0587 (0.0664) loss_seg: 0.0580 (0.0656) loss_lansim: 0.0703 (0.0757) loss_contra: 0.0004 (0.0034) time: 2.6419 data: 0.0051 max mem: 31630 Epoch: [21] [1550/5278] eta: 2:45:31 lr: 2.522909935515116e-05 loss: 0.0587 (0.0664) loss_seg: 0.0580 (0.0656) loss_lansim: 0.0714 (0.0757) loss_contra: 0.0004 (0.0034) time: 2.6405 data: 0.0051 max mem: 31630 Epoch: [21] [1560/5278] eta: 2:45:04 lr: 2.5226799540056194e-05 loss: 0.0588 (0.0665) loss_seg: 0.0581 (0.0657) loss_lansim: 0.0703 (0.0757) loss_contra: 0.0004 (0.0034) time: 2.6393 data: 0.0052 max mem: 31630 Epoch: [21] [1570/5278] eta: 2:44:36 lr: 2.522449970166501e-05 loss: 0.0581 (0.0664) loss_seg: 0.0572 (0.0657) loss_lansim: 0.0722 (0.0757) loss_contra: 0.0004 (0.0034) time: 2.6348 data: 0.0052 max mem: 31630 Epoch: [21] [1580/5278] eta: 2:44:09 lr: 2.5222199839974996e-05 loss: 0.0588 (0.0664) loss_seg: 0.0581 (0.0656) loss_lansim: 0.0719 (0.0757) loss_contra: 0.0003 (0.0033) time: 2.6346 data: 0.0052 max mem: 31630 Epoch: [21] [1590/5278] eta: 2:43:42 lr: 2.5219899954983566e-05 loss: 0.0597 (0.0663) loss_seg: 0.0589 (0.0656) loss_lansim: 0.0714 (0.0756) loss_contra: 0.0003 (0.0033) time: 2.6364 data: 0.0052 max mem: 31630 Epoch: [21] [1600/5278] eta: 2:43:15 lr: 2.5217600046688118e-05 loss: 0.0567 (0.0663) loss_seg: 0.0557 (0.0655) loss_lansim: 0.0719 (0.0756) loss_contra: 0.0003 (0.0033) time: 2.6379 data: 0.0052 max mem: 31630 Epoch: [21] [1610/5278] eta: 2:42:48 lr: 2.521530011508606e-05 loss: 0.0581 (0.0664) loss_seg: 0.0572 (0.0656) loss_lansim: 0.0714 (0.0756) loss_contra: 0.0003 (0.0033) time: 2.6403 data: 0.0052 max mem: 31630 Epoch: [21] [1620/5278] eta: 2:42:21 lr: 2.5213000160174788e-05 loss: 0.0597 (0.0663) loss_seg: 0.0589 (0.0655) loss_lansim: 0.0714 (0.0756) loss_contra: 0.0003 (0.0033) time: 2.6372 data: 0.0052 max mem: 31630 Epoch: [21] [1630/5278] eta: 2:41:54 lr: 2.5210700181951702e-05 loss: 0.0608 (0.0664) loss_seg: 0.0601 (0.0656) loss_lansim: 0.0708 (0.0755) loss_contra: 0.0002 (0.0033) time: 2.6374 data: 0.0052 max mem: 31630 Epoch: [21] [1640/5278] eta: 2:41:27 lr: 2.520840018041421e-05 loss: 0.0623 (0.0664) loss_seg: 0.0616 (0.0656) loss_lansim: 0.0702 (0.0755) loss_contra: 0.0002 (0.0033) time: 2.6436 data: 0.0052 max mem: 31630 Epoch: [21] [1650/5278] eta: 2:41:00 lr: 2.5206100155559707e-05 loss: 0.0627 (0.0664) loss_seg: 0.0620 (0.0656) loss_lansim: 0.0708 (0.0755) loss_contra: 0.0003 (0.0034) time: 2.6392 data: 0.0052 max mem: 31630 Epoch: [21] [1660/5278] eta: 2:40:33 lr: 2.5203800107385594e-05 loss: 0.0632 (0.0664) loss_seg: 0.0625 (0.0656) loss_lansim: 0.0724 (0.0755) loss_contra: 0.0004 (0.0034) time: 2.6421 data: 0.0051 max mem: 31630 Epoch: [21] [1670/5278] eta: 2:40:06 lr: 2.520150003588927e-05 loss: 0.0628 (0.0664) loss_seg: 0.0620 (0.0657) loss_lansim: 0.0721 (0.0755) loss_contra: 0.0005 (0.0034) time: 2.6468 data: 0.0051 max mem: 31630 Epoch: [21] [1680/5278] eta: 2:39:39 lr: 2.519919994106813e-05 loss: 0.0628 (0.0664) loss_seg: 0.0620 (0.0656) loss_lansim: 0.0727 (0.0756) loss_contra: 0.0006 (0.0034) time: 2.6472 data: 0.0051 max mem: 31630 Epoch: [21] [1690/5278] eta: 2:39:13 lr: 2.5196899822919573e-05 loss: 0.0637 (0.0665) loss_seg: 0.0630 (0.0657) loss_lansim: 0.0731 (0.0755) loss_contra: 0.0006 (0.0034) time: 2.6503 data: 0.0051 max mem: 31630 Epoch: [21] [1700/5278] eta: 2:38:46 lr: 2.5194599681441006e-05 loss: 0.0637 (0.0664) loss_seg: 0.0630 (0.0656) loss_lansim: 0.0733 (0.0756) loss_contra: 0.0006 (0.0034) time: 2.6496 data: 0.0051 max mem: 31630 Epoch: [21] [1710/5278] eta: 2:38:20 lr: 2.519229951662981e-05 loss: 0.0628 (0.0664) loss_seg: 0.0620 (0.0656) loss_lansim: 0.0733 (0.0755) loss_contra: 0.0006 (0.0035) time: 2.6535 data: 0.0051 max mem: 31630 Epoch: [21] [1720/5278] eta: 2:37:53 lr: 2.5189999328483387e-05 loss: 0.0615 (0.0663) loss_seg: 0.0602 (0.0655) loss_lansim: 0.0743 (0.0756) loss_contra: 0.0006 (0.0035) time: 2.6551 data: 0.0051 max mem: 31630 Epoch: [21] [1730/5278] eta: 2:37:27 lr: 2.5187699116999136e-05 loss: 0.0609 (0.0664) loss_seg: 0.0601 (0.0656) loss_lansim: 0.0748 (0.0756) loss_contra: 0.0007 (0.0035) time: 2.6599 data: 0.0051 max mem: 31630 Epoch: [21] [1740/5278] eta: 2:37:00 lr: 2.518539888217446e-05 loss: 0.0598 (0.0663) loss_seg: 0.0590 (0.0655) loss_lansim: 0.0754 (0.0756) loss_contra: 0.0009 (0.0035) time: 2.6569 data: 0.0051 max mem: 31630 Epoch: [21] [1750/5278] eta: 2:36:33 lr: 2.5183098624006733e-05 loss: 0.0598 (0.0663) loss_seg: 0.0590 (0.0655) loss_lansim: 0.0754 (0.0756) loss_contra: 0.0006 (0.0035) time: 2.6613 data: 0.0051 max mem: 31630 Epoch: [21] [1760/5278] eta: 2:36:06 lr: 2.518079834249336e-05 loss: 0.0593 (0.0663) loss_seg: 0.0585 (0.0655) loss_lansim: 0.0751 (0.0756) loss_contra: 0.0005 (0.0035) time: 2.6591 data: 0.0051 max mem: 31630 Epoch: [21] [1770/5278] eta: 2:35:39 lr: 2.5178498037631737e-05 loss: 0.0589 (0.0663) loss_seg: 0.0580 (0.0655) loss_lansim: 0.0756 (0.0756) loss_contra: 0.0005 (0.0035) time: 2.6549 data: 0.0051 max mem: 31630 Epoch: [21] [1780/5278] eta: 2:35:12 lr: 2.5176197709419265e-05 loss: 0.0594 (0.0664) loss_seg: 0.0585 (0.0656) loss_lansim: 0.0757 (0.0756) loss_contra: 0.0004 (0.0035) time: 2.6567 data: 0.0051 max mem: 31630 Epoch: [21] [1790/5278] eta: 2:34:45 lr: 2.517389735785331e-05 loss: 0.0589 (0.0664) loss_seg: 0.0580 (0.0656) loss_lansim: 0.0756 (0.0756) loss_contra: 0.0004 (0.0035) time: 2.6550 data: 0.0051 max mem: 31630 Epoch: [21] [1800/5278] eta: 2:34:18 lr: 2.5171596982931283e-05 loss: 0.0593 (0.0664) loss_seg: 0.0585 (0.0656) loss_lansim: 0.0755 (0.0756) loss_contra: 0.0004 (0.0035) time: 2.6536 data: 0.0051 max mem: 31630 Epoch: [21] [1810/5278] eta: 2:33:51 lr: 2.5169296584650576e-05 loss: 0.0583 (0.0663) loss_seg: 0.0575 (0.0656) loss_lansim: 0.0757 (0.0756) loss_contra: 0.0004 (0.0035) time: 2.6491 data: 0.0051 max mem: 31630 Epoch: [21] [1820/5278] eta: 2:33:24 lr: 2.5166996163008577e-05 loss: 0.0593 (0.0663) loss_seg: 0.0585 (0.0655) loss_lansim: 0.0756 (0.0756) loss_contra: 0.0004 (0.0034) time: 2.6507 data: 0.0051 max mem: 31630 Epoch: [21] [1830/5278] eta: 2:32:57 lr: 2.5164695718002666e-05 loss: 0.0594 (0.0664) loss_seg: 0.0585 (0.0656) loss_lansim: 0.0750 (0.0756) loss_contra: 0.0003 (0.0034) time: 2.6440 data: 0.0051 max mem: 31630 Epoch: [21] [1840/5278] eta: 2:32:30 lr: 2.516239524963025e-05 loss: 0.0620 (0.0664) loss_seg: 0.0613 (0.0656) loss_lansim: 0.0740 (0.0755) loss_contra: 0.0002 (0.0034) time: 2.6448 data: 0.0051 max mem: 31630 Epoch: [21] [1850/5278] eta: 2:32:03 lr: 2.5160094757888696e-05 loss: 0.0607 (0.0664) loss_seg: 0.0598 (0.0656) loss_lansim: 0.0729 (0.0754) loss_contra: 0.0003 (0.0034) time: 2.6445 data: 0.0051 max mem: 31630 Epoch: [21] [1860/5278] eta: 2:31:37 lr: 2.5157794242775423e-05 loss: 0.0614 (0.0665) loss_seg: 0.0607 (0.0657) loss_lansim: 0.0713 (0.0754) loss_contra: 0.0003 (0.0034) time: 2.6453 data: 0.0051 max mem: 31630 Epoch: [21] [1870/5278] eta: 2:31:10 lr: 2.5155493704287785e-05 loss: 0.0620 (0.0666) loss_seg: 0.0614 (0.0658) loss_lansim: 0.0693 (0.0753) loss_contra: 0.0003 (0.0034) time: 2.6499 data: 0.0051 max mem: 31630 Epoch: [21] [1880/5278] eta: 2:30:43 lr: 2.5153193142423192e-05 loss: 0.0613 (0.0666) loss_seg: 0.0605 (0.0658) loss_lansim: 0.0679 (0.0752) loss_contra: 0.0004 (0.0034) time: 2.6485 data: 0.0051 max mem: 31630 Epoch: [21] [1890/5278] eta: 2:30:17 lr: 2.5150892557179023e-05 loss: 0.0620 (0.0667) loss_seg: 0.0614 (0.0659) loss_lansim: 0.0652 (0.0751) loss_contra: 0.0004 (0.0034) time: 2.6494 data: 0.0051 max mem: 31630 Epoch: [21] [1900/5278] eta: 2:29:50 lr: 2.5148591948552662e-05 loss: 0.0645 (0.0667) loss_seg: 0.0639 (0.0659) loss_lansim: 0.0646 (0.0751) loss_contra: 0.0004 (0.0034) time: 2.6497 data: 0.0051 max mem: 31630 Epoch: [21] [1910/5278] eta: 2:29:23 lr: 2.5146291316541503e-05 loss: 0.0645 (0.0667) loss_seg: 0.0639 (0.0659) loss_lansim: 0.0633 (0.0750) loss_contra: 0.0004 (0.0034) time: 2.6507 data: 0.0051 max mem: 31630 Epoch: [21] [1920/5278] eta: 2:28:56 lr: 2.5143990661142925e-05 loss: 0.0658 (0.0668) loss_seg: 0.0653 (0.0660) loss_lansim: 0.0613 (0.0749) loss_contra: 0.0005 (0.0034) time: 2.6511 data: 0.0051 max mem: 31630 Epoch: [21] [1930/5278] eta: 2:28:29 lr: 2.514168998235431e-05 loss: 0.0645 (0.0668) loss_seg: 0.0639 (0.0660) loss_lansim: 0.0606 (0.0748) loss_contra: 0.0005 (0.0034) time: 2.6505 data: 0.0051 max mem: 31630 Epoch: [21] [1940/5278] eta: 2:28:02 lr: 2.513938928017305e-05 loss: 0.0636 (0.0668) loss_seg: 0.0629 (0.0660) loss_lansim: 0.0601 (0.0748) loss_contra: 0.0006 (0.0034) time: 2.6506 data: 0.0051 max mem: 31630 Epoch: [21] [1950/5278] eta: 2:27:35 lr: 2.513708855459652e-05 loss: 0.0658 (0.0668) loss_seg: 0.0653 (0.0661) loss_lansim: 0.0593 (0.0747) loss_contra: 0.0006 (0.0034) time: 2.6492 data: 0.0051 max mem: 31630 Epoch: [21] [1960/5278] eta: 2:27:08 lr: 2.5134787805622113e-05 loss: 0.0658 (0.0668) loss_seg: 0.0653 (0.0661) loss_lansim: 0.0592 (0.0746) loss_contra: 0.0006 (0.0034) time: 2.6495 data: 0.0051 max mem: 31630 Epoch: [21] [1970/5278] eta: 2:26:42 lr: 2.51324870332472e-05 loss: 0.0658 (0.0669) loss_seg: 0.0653 (0.0661) loss_lansim: 0.0594 (0.0746) loss_contra: 0.0004 (0.0034) time: 2.6515 data: 0.0051 max mem: 31630 Epoch: [21] [1980/5278] eta: 2:26:15 lr: 2.513018623746916e-05 loss: 0.0669 (0.0669) loss_seg: 0.0664 (0.0662) loss_lansim: 0.0601 (0.0745) loss_contra: 0.0004 (0.0034) time: 2.6509 data: 0.0051 max mem: 31630 Epoch: [21] [1990/5278] eta: 2:25:49 lr: 2.5127885418285397e-05 loss: 0.0658 (0.0671) loss_seg: 0.0652 (0.0663) loss_lansim: 0.0604 (0.0744) loss_contra: 0.0004 (0.0034) time: 2.6518 data: 0.0051 max mem: 31630 Epoch: [21] [2000/5278] eta: 2:25:22 lr: 2.5125584575693266e-05 loss: 0.0661 (0.0671) loss_seg: 0.0655 (0.0663) loss_lansim: 0.0606 (0.0744) loss_contra: 0.0004 (0.0034) time: 2.6515 data: 0.0051 max mem: 31630 Epoch: [21] [2010/5278] eta: 2:24:56 lr: 2.512328370969016e-05 loss: 0.0662 (0.0671) loss_seg: 0.0656 (0.0664) loss_lansim: 0.0605 (0.0743) loss_contra: 0.0004 (0.0034) time: 2.6553 data: 0.0051 max mem: 31630 Epoch: [21] [2020/5278] eta: 2:24:29 lr: 2.512098282027345e-05 loss: 0.0658 (0.0671) loss_seg: 0.0652 (0.0663) loss_lansim: 0.0606 (0.0742) loss_contra: 0.0004 (0.0034) time: 2.6530 data: 0.0051 max mem: 31630 Epoch: [21] [2030/5278] eta: 2:24:02 lr: 2.5118681907440534e-05 loss: 0.0643 (0.0671) loss_seg: 0.0637 (0.0663) loss_lansim: 0.0608 (0.0742) loss_contra: 0.0004 (0.0034) time: 2.6556 data: 0.0051 max mem: 31630 Epoch: [21] [2040/5278] eta: 2:23:35 lr: 2.5116380971188764e-05 loss: 0.0643 (0.0671) loss_seg: 0.0637 (0.0663) loss_lansim: 0.0606 (0.0741) loss_contra: 0.0004 (0.0034) time: 2.6569 data: 0.0051 max mem: 31630 Epoch: [21] [2050/5278] eta: 2:23:09 lr: 2.5114080011515534e-05 loss: 0.0638 (0.0671) loss_seg: 0.0633 (0.0663) loss_lansim: 0.0607 (0.0741) loss_contra: 0.0004 (0.0034) time: 2.6578 data: 0.0051 max mem: 31630 Epoch: [21] [2060/5278] eta: 2:22:42 lr: 2.511177902841822e-05 loss: 0.0641 (0.0671) loss_seg: 0.0636 (0.0663) loss_lansim: 0.0605 (0.0740) loss_contra: 0.0005 (0.0034) time: 2.6574 data: 0.0051 max mem: 31630 Epoch: [21] [2070/5278] eta: 2:22:15 lr: 2.51094780218942e-05 loss: 0.0631 (0.0671) loss_seg: 0.0625 (0.0663) loss_lansim: 0.0601 (0.0739) loss_contra: 0.0006 (0.0034) time: 2.6523 data: 0.0051 max mem: 31630 Epoch: [21] [2080/5278] eta: 2:21:48 lr: 2.5107176991940844e-05 loss: 0.0616 (0.0671) loss_seg: 0.0611 (0.0663) loss_lansim: 0.0593 (0.0738) loss_contra: 0.0005 (0.0034) time: 2.6554 data: 0.0051 max mem: 31630 Epoch: [21] [2090/5278] eta: 2:21:22 lr: 2.5104875938555527e-05 loss: 0.0616 (0.0670) loss_seg: 0.0611 (0.0663) loss_lansim: 0.0587 (0.0737) loss_contra: 0.0004 (0.0034) time: 2.6581 data: 0.0051 max mem: 31630 Epoch: [21] [2100/5278] eta: 2:20:56 lr: 2.5102574861735628e-05 loss: 0.0598 (0.0670) loss_seg: 0.0591 (0.0662) loss_lansim: 0.0581 (0.0737) loss_contra: 0.0004 (0.0033) time: 2.6635 data: 0.0051 max mem: 31630 Epoch: [21] [2110/5278] eta: 2:20:30 lr: 2.5100273761478527e-05 loss: 0.0596 (0.0670) loss_seg: 0.0591 (0.0662) loss_lansim: 0.0578 (0.0736) loss_contra: 0.0004 (0.0034) time: 2.6623 data: 0.0051 max mem: 31630 Epoch: [21] [2120/5278] eta: 2:20:03 lr: 2.5097972637781585e-05 loss: 0.0587 (0.0669) loss_seg: 0.0581 (0.0661) loss_lansim: 0.0576 (0.0735) loss_contra: 0.0004 (0.0033) time: 2.6618 data: 0.0051 max mem: 31630 Epoch: [21] [2130/5278] eta: 2:19:36 lr: 2.5095671490642186e-05 loss: 0.0598 (0.0669) loss_seg: 0.0591 (0.0662) loss_lansim: 0.0574 (0.0734) loss_contra: 0.0004 (0.0033) time: 2.6601 data: 0.0051 max mem: 31630 Epoch: [21] [2140/5278] eta: 2:19:09 lr: 2.5093370320057695e-05 loss: 0.0619 (0.0670) loss_seg: 0.0613 (0.0663) loss_lansim: 0.0568 (0.0733) loss_contra: 0.0003 (0.0034) time: 2.6580 data: 0.0051 max mem: 31630 Epoch: [21] [2150/5278] eta: 2:18:42 lr: 2.5091069126025485e-05 loss: 0.0622 (0.0670) loss_seg: 0.0616 (0.0663) loss_lansim: 0.0565 (0.0733) loss_contra: 0.0004 (0.0034) time: 2.6597 data: 0.0051 max mem: 31630 Epoch: [21] [2160/5278] eta: 2:18:16 lr: 2.5088767908542944e-05 loss: 0.0620 (0.0670) loss_seg: 0.0614 (0.0663) loss_lansim: 0.0568 (0.0732) loss_contra: 0.0004 (0.0033) time: 2.6593 data: 0.0051 max mem: 31630 Epoch: [21] [2170/5278] eta: 2:17:49 lr: 2.5086466667607416e-05 loss: 0.0619 (0.0670) loss_seg: 0.0613 (0.0662) loss_lansim: 0.0565 (0.0731) loss_contra: 0.0004 (0.0033) time: 2.6615 data: 0.0051 max mem: 31630 Epoch: [21] [2180/5278] eta: 2:17:22 lr: 2.5084165403216286e-05 loss: 0.0619 (0.0670) loss_seg: 0.0613 (0.0662) loss_lansim: 0.0568 (0.0730) loss_contra: 0.0004 (0.0033) time: 2.6617 data: 0.0051 max mem: 31630 Epoch: [21] [2190/5278] eta: 2:16:56 lr: 2.5081864115366927e-05 loss: 0.0619 (0.0670) loss_seg: 0.0613 (0.0663) loss_lansim: 0.0568 (0.0730) loss_contra: 0.0004 (0.0033) time: 2.6573 data: 0.0051 max mem: 31630 Epoch: [21] [2200/5278] eta: 2:16:29 lr: 2.507956280405671e-05 loss: 0.0597 (0.0670) loss_seg: 0.0591 (0.0662) loss_lansim: 0.0568 (0.0729) loss_contra: 0.0004 (0.0033) time: 2.6532 data: 0.0051 max mem: 31630 Epoch: [21] [2210/5278] eta: 2:16:03 lr: 2.5077261469282993e-05 loss: 0.0601 (0.0671) loss_seg: 0.0595 (0.0663) loss_lansim: 0.0572 (0.0728) loss_contra: 0.0005 (0.0033) time: 2.6526 data: 0.0051 max mem: 31630 Epoch: [21] [2220/5278] eta: 2:15:36 lr: 2.5074960111043143e-05 loss: 0.0623 (0.0671) loss_seg: 0.0617 (0.0664) loss_lansim: 0.0576 (0.0728) loss_contra: 0.0005 (0.0033) time: 2.6568 data: 0.0051 max mem: 31630 Epoch: [21] [2230/5278] eta: 2:15:09 lr: 2.5072658729334538e-05 loss: 0.0623 (0.0671) loss_seg: 0.0616 (0.0664) loss_lansim: 0.0570 (0.0727) loss_contra: 0.0005 (0.0033) time: 2.6581 data: 0.0051 max mem: 31630 Epoch: [21] [2240/5278] eta: 2:14:42 lr: 2.5070357324154547e-05 loss: 0.0623 (0.0672) loss_seg: 0.0617 (0.0664) loss_lansim: 0.0570 (0.0726) loss_contra: 0.0004 (0.0033) time: 2.6562 data: 0.0051 max mem: 31630 Epoch: [21] [2250/5278] eta: 2:14:16 lr: 2.5068055895500527e-05 loss: 0.0625 (0.0672) loss_seg: 0.0617 (0.0664) loss_lansim: 0.0571 (0.0726) loss_contra: 0.0004 (0.0033) time: 2.6589 data: 0.0051 max mem: 31630 Epoch: [21] [2260/5278] eta: 2:13:49 lr: 2.5065754443369842e-05 loss: 0.0623 (0.0672) loss_seg: 0.0617 (0.0664) loss_lansim: 0.0569 (0.0725) loss_contra: 0.0004 (0.0033) time: 2.6593 data: 0.0051 max mem: 31630 Epoch: [21] [2270/5278] eta: 2:13:22 lr: 2.5063452967759866e-05 loss: 0.0623 (0.0672) loss_seg: 0.0617 (0.0664) loss_lansim: 0.0562 (0.0724) loss_contra: 0.0003 (0.0033) time: 2.6579 data: 0.0051 max mem: 31630 Epoch: [21] [2280/5278] eta: 2:12:56 lr: 2.5061151468667964e-05 loss: 0.0616 (0.0671) loss_seg: 0.0610 (0.0664) loss_lansim: 0.0559 (0.0723) loss_contra: 0.0003 (0.0033) time: 2.6581 data: 0.0051 max mem: 31630 Epoch: [21] [2290/5278] eta: 2:12:29 lr: 2.5058849946091494e-05 loss: 0.0607 (0.0671) loss_seg: 0.0602 (0.0664) loss_lansim: 0.0560 (0.0723) loss_contra: 0.0003 (0.0033) time: 2.6563 data: 0.0051 max mem: 31630 Epoch: [21] [2300/5278] eta: 2:12:02 lr: 2.5056548400027824e-05 loss: 0.0617 (0.0671) loss_seg: 0.0612 (0.0664) loss_lansim: 0.0560 (0.0722) loss_contra: 0.0003 (0.0033) time: 2.6564 data: 0.0051 max mem: 31630 Epoch: [21] [2310/5278] eta: 2:11:36 lr: 2.5054246830474314e-05 loss: 0.0617 (0.0672) loss_seg: 0.0612 (0.0664) loss_lansim: 0.0558 (0.0721) loss_contra: 0.0003 (0.0033) time: 2.6572 data: 0.0051 max mem: 31630 Epoch: [21] [2320/5278] eta: 2:11:10 lr: 2.5051945237428336e-05 loss: 0.0607 (0.0672) loss_seg: 0.0602 (0.0664) loss_lansim: 0.0557 (0.0721) loss_contra: 0.0003 (0.0033) time: 2.6584 data: 0.0051 max mem: 31630 Epoch: [21] [2330/5278] eta: 2:10:43 lr: 2.5049643620887242e-05 loss: 0.0607 (0.0671) loss_seg: 0.0602 (0.0664) loss_lansim: 0.0553 (0.0720) loss_contra: 0.0002 (0.0033) time: 2.6579 data: 0.0051 max mem: 31630 Epoch: [21] [2340/5278] eta: 2:10:16 lr: 2.5047341980848393e-05 loss: 0.0606 (0.0672) loss_seg: 0.0601 (0.0664) loss_lansim: 0.0552 (0.0719) loss_contra: 0.0003 (0.0032) time: 2.6609 data: 0.0051 max mem: 31630 Epoch: [21] [2350/5278] eta: 2:09:50 lr: 2.5045040317309155e-05 loss: 0.0594 (0.0672) loss_seg: 0.0589 (0.0665) loss_lansim: 0.0552 (0.0718) loss_contra: 0.0003 (0.0032) time: 2.6583 data: 0.0051 max mem: 31630 Epoch: [21] [2360/5278] eta: 2:09:23 lr: 2.5042738630266886e-05 loss: 0.0592 (0.0672) loss_seg: 0.0586 (0.0665) loss_lansim: 0.0556 (0.0718) loss_contra: 0.0003 (0.0032) time: 2.6562 data: 0.0051 max mem: 31630 Epoch: [21] [2370/5278] eta: 2:08:56 lr: 2.5040436919718945e-05 loss: 0.0582 (0.0672) loss_seg: 0.0577 (0.0664) loss_lansim: 0.0557 (0.0717) loss_contra: 0.0003 (0.0032) time: 2.6583 data: 0.0051 max mem: 31630 Epoch: [21] [2380/5278] eta: 2:08:29 lr: 2.5038135185662692e-05 loss: 0.0606 (0.0672) loss_seg: 0.0601 (0.0664) loss_lansim: 0.0560 (0.0717) loss_contra: 0.0003 (0.0032) time: 2.6566 data: 0.0051 max mem: 31630 Epoch: [21] [2390/5278] eta: 2:08:02 lr: 2.5035833428095485e-05 loss: 0.0606 (0.0672) loss_seg: 0.0601 (0.0664) loss_lansim: 0.0558 (0.0716) loss_contra: 0.0003 (0.0032) time: 2.6553 data: 0.0051 max mem: 31630 Epoch: [21] [2400/5278] eta: 2:07:36 lr: 2.503353164701468e-05 loss: 0.0606 (0.0672) loss_seg: 0.0601 (0.0664) loss_lansim: 0.0557 (0.0715) loss_contra: 0.0002 (0.0032) time: 2.6585 data: 0.0051 max mem: 31630 Epoch: [21] [2410/5278] eta: 2:07:09 lr: 2.503122984241765e-05 loss: 0.0594 (0.0672) loss_seg: 0.0589 (0.0664) loss_lansim: 0.0560 (0.0715) loss_contra: 0.0002 (0.0032) time: 2.6556 data: 0.0051 max mem: 31630 Epoch: [21] [2420/5278] eta: 2:06:43 lr: 2.5028928014301728e-05 loss: 0.0629 (0.0672) loss_seg: 0.0623 (0.0664) loss_lansim: 0.0560 (0.0714) loss_contra: 0.0002 (0.0032) time: 2.6556 data: 0.0051 max mem: 31630 Epoch: [21] [2430/5278] eta: 2:06:16 lr: 2.5026626162664285e-05 loss: 0.0629 (0.0672) loss_seg: 0.0623 (0.0664) loss_lansim: 0.0569 (0.0714) loss_contra: 0.0002 (0.0032) time: 2.6574 data: 0.0051 max mem: 31630 Epoch: [21] [2440/5278] eta: 2:05:50 lr: 2.502432428750267e-05 loss: 0.0593 (0.0671) loss_seg: 0.0588 (0.0663) loss_lansim: 0.0569 (0.0713) loss_contra: 0.0002 (0.0031) time: 2.6567 data: 0.0052 max mem: 31630 Epoch: [21] [2450/5278] eta: 2:05:23 lr: 2.5022022388814254e-05 loss: 0.0601 (0.0671) loss_seg: 0.0595 (0.0664) loss_lansim: 0.0569 (0.0712) loss_contra: 0.0002 (0.0031) time: 2.6585 data: 0.0052 max mem: 31630 Epoch: [21] [2460/5278] eta: 2:04:57 lr: 2.5019720466596368e-05 loss: 0.0602 (0.0671) loss_seg: 0.0597 (0.0664) loss_lansim: 0.0572 (0.0712) loss_contra: 0.0002 (0.0031) time: 2.6614 data: 0.0052 max mem: 31630 Epoch: [21] [2470/5278] eta: 2:04:30 lr: 2.501741852084638e-05 loss: 0.0629 (0.0672) loss_seg: 0.0623 (0.0665) loss_lansim: 0.0573 (0.0711) loss_contra: 0.0002 (0.0031) time: 2.6596 data: 0.0052 max mem: 31630 Epoch: [21] [2480/5278] eta: 2:04:03 lr: 2.501511655156164e-05 loss: 0.0629 (0.0672) loss_seg: 0.0623 (0.0665) loss_lansim: 0.0572 (0.0711) loss_contra: 0.0001 (0.0031) time: 2.6602 data: 0.0052 max mem: 31630 Epoch: [21] [2490/5278] eta: 2:03:37 lr: 2.5012814558739507e-05 loss: 0.0629 (0.0673) loss_seg: 0.0623 (0.0665) loss_lansim: 0.0574 (0.0710) loss_contra: 0.0001 (0.0031) time: 2.6630 data: 0.0052 max mem: 31630 Epoch: [21] [2500/5278] eta: 2:03:10 lr: 2.5010512542377324e-05 loss: 0.0622 (0.0672) loss_seg: 0.0616 (0.0665) loss_lansim: 0.0576 (0.0710) loss_contra: 0.0002 (0.0031) time: 2.6584 data: 0.0052 max mem: 31630 Epoch: [21] [2510/5278] eta: 2:02:43 lr: 2.5008210502472446e-05 loss: 0.0627 (0.0672) loss_seg: 0.0617 (0.0665) loss_lansim: 0.0580 (0.0709) loss_contra: 0.0002 (0.0031) time: 2.6588 data: 0.0052 max mem: 31630 Epoch: [21] [2520/5278] eta: 2:02:17 lr: 2.500590843902223e-05 loss: 0.0627 (0.0673) loss_seg: 0.0617 (0.0666) loss_lansim: 0.0581 (0.0709) loss_contra: 0.0002 (0.0031) time: 2.6569 data: 0.0052 max mem: 31630 Epoch: [21] [2530/5278] eta: 2:01:50 lr: 2.5003606352024022e-05 loss: 0.0634 (0.0673) loss_seg: 0.0626 (0.0665) loss_lansim: 0.0583 (0.0708) loss_contra: 0.0002 (0.0031) time: 2.6562 data: 0.0052 max mem: 31630 Epoch: [21] [2540/5278] eta: 2:01:23 lr: 2.500130424147517e-05 loss: 0.0640 (0.0673) loss_seg: 0.0635 (0.0665) loss_lansim: 0.0590 (0.0708) loss_contra: 0.0002 (0.0032) time: 2.6577 data: 0.0052 max mem: 31630 Epoch: [21] [2550/5278] eta: 2:00:56 lr: 2.4999002107373025e-05 loss: 0.0640 (0.0673) loss_seg: 0.0635 (0.0665) loss_lansim: 0.0596 (0.0708) loss_contra: 0.0003 (0.0032) time: 2.6528 data: 0.0052 max mem: 31630 Epoch: [21] [2560/5278] eta: 2:00:30 lr: 2.4996699949714938e-05 loss: 0.0640 (0.0674) loss_seg: 0.0636 (0.0666) loss_lansim: 0.0596 (0.0707) loss_contra: 0.0003 (0.0032) time: 2.6532 data: 0.0052 max mem: 31630 Epoch: [21] [2570/5278] eta: 2:00:03 lr: 2.499439776849826e-05 loss: 0.0634 (0.0673) loss_seg: 0.0627 (0.0666) loss_lansim: 0.0595 (0.0707) loss_contra: 0.0004 (0.0032) time: 2.6529 data: 0.0052 max mem: 31630 Epoch: [21] [2580/5278] eta: 1:59:37 lr: 2.499209556372033e-05 loss: 0.0634 (0.0673) loss_seg: 0.0627 (0.0666) loss_lansim: 0.0596 (0.0706) loss_contra: 0.0004 (0.0032) time: 2.6537 data: 0.0052 max mem: 31630 Epoch: [21] [2590/5278] eta: 1:59:10 lr: 2.49897933353785e-05 loss: 0.0634 (0.0673) loss_seg: 0.0627 (0.0666) loss_lansim: 0.0605 (0.0706) loss_contra: 0.0005 (0.0032) time: 2.6532 data: 0.0052 max mem: 31630 Epoch: [21] [2600/5278] eta: 1:58:43 lr: 2.498749108347012e-05 loss: 0.0656 (0.0674) loss_seg: 0.0650 (0.0667) loss_lansim: 0.0612 (0.0706) loss_contra: 0.0004 (0.0032) time: 2.6537 data: 0.0052 max mem: 31630 Epoch: [21] [2610/5278] eta: 1:58:17 lr: 2.498518880799253e-05 loss: 0.0656 (0.0675) loss_seg: 0.0650 (0.0668) loss_lansim: 0.0610 (0.0705) loss_contra: 0.0004 (0.0032) time: 2.6559 data: 0.0052 max mem: 31630 Epoch: [21] [2620/5278] eta: 1:57:50 lr: 2.4982886508943083e-05 loss: 0.0640 (0.0675) loss_seg: 0.0636 (0.0668) loss_lansim: 0.0610 (0.0705) loss_contra: 0.0004 (0.0031) time: 2.6539 data: 0.0052 max mem: 31630 Epoch: [21] [2630/5278] eta: 1:57:24 lr: 2.4980584186319116e-05 loss: 0.0676 (0.0675) loss_seg: 0.0670 (0.0668) loss_lansim: 0.0601 (0.0705) loss_contra: 0.0004 (0.0032) time: 2.6565 data: 0.0052 max mem: 31630 Epoch: [21] [2640/5278] eta: 1:56:57 lr: 2.4978281840117976e-05 loss: 0.0656 (0.0676) loss_seg: 0.0649 (0.0668) loss_lansim: 0.0601 (0.0704) loss_contra: 0.0003 (0.0032) time: 2.6541 data: 0.0052 max mem: 31630 Epoch: [21] [2650/5278] eta: 1:56:30 lr: 2.497597947033701e-05 loss: 0.0656 (0.0676) loss_seg: 0.0649 (0.0669) loss_lansim: 0.0599 (0.0704) loss_contra: 0.0004 (0.0032) time: 2.6560 data: 0.0052 max mem: 31630 Epoch: [21] [2660/5278] eta: 1:56:03 lr: 2.497367707697356e-05 loss: 0.0661 (0.0676) loss_seg: 0.0655 (0.0669) loss_lansim: 0.0600 (0.0703) loss_contra: 0.0004 (0.0032) time: 2.6549 data: 0.0052 max mem: 31630 Epoch: [21] [2670/5278] eta: 1:55:37 lr: 2.4971374660024967e-05 loss: 0.0661 (0.0676) loss_seg: 0.0655 (0.0668) loss_lansim: 0.0600 (0.0703) loss_contra: 0.0003 (0.0032) time: 2.6543 data: 0.0052 max mem: 31630 Epoch: [21] [2680/5278] eta: 1:55:10 lr: 2.4969072219488572e-05 loss: 0.0661 (0.0675) loss_seg: 0.0655 (0.0668) loss_lansim: 0.0601 (0.0703) loss_contra: 0.0002 (0.0032) time: 2.6582 data: 0.0052 max mem: 31630 Epoch: [21] [2690/5278] eta: 1:54:43 lr: 2.496676975536172e-05 loss: 0.0657 (0.0675) loss_seg: 0.0649 (0.0668) loss_lansim: 0.0598 (0.0702) loss_contra: 0.0003 (0.0032) time: 2.6557 data: 0.0052 max mem: 31630 Epoch: [21] [2700/5278] eta: 1:54:17 lr: 2.4964467267641758e-05 loss: 0.0636 (0.0675) loss_seg: 0.0630 (0.0668) loss_lansim: 0.0597 (0.0702) loss_contra: 0.0004 (0.0032) time: 2.6579 data: 0.0052 max mem: 31630 Epoch: [21] [2710/5278] eta: 1:53:50 lr: 2.496216475632601e-05 loss: 0.0636 (0.0675) loss_seg: 0.0630 (0.0668) loss_lansim: 0.0597 (0.0702) loss_contra: 0.0004 (0.0032) time: 2.6557 data: 0.0052 max mem: 31630 Epoch: [21] [2720/5278] eta: 1:53:24 lr: 2.4959862221411825e-05 loss: 0.0636 (0.0675) loss_seg: 0.0630 (0.0668) loss_lansim: 0.0592 (0.0701) loss_contra: 0.0003 (0.0032) time: 2.6578 data: 0.0052 max mem: 31630 Epoch: [21] [2730/5278] eta: 1:52:57 lr: 2.4957559662896544e-05 loss: 0.0636 (0.0675) loss_seg: 0.0630 (0.0668) loss_lansim: 0.0595 (0.0701) loss_contra: 0.0003 (0.0032) time: 2.6532 data: 0.0052 max mem: 31630 Epoch: [21] [2740/5278] eta: 1:52:30 lr: 2.4955257080777508e-05 loss: 0.0645 (0.0676) loss_seg: 0.0639 (0.0668) loss_lansim: 0.0595 (0.0701) loss_contra: 0.0003 (0.0032) time: 2.6546 data: 0.0052 max mem: 31630 Epoch: [21] [2750/5278] eta: 1:52:04 lr: 2.4952954475052046e-05 loss: 0.0645 (0.0676) loss_seg: 0.0639 (0.0669) loss_lansim: 0.0606 (0.0701) loss_contra: 0.0003 (0.0032) time: 2.6562 data: 0.0052 max mem: 31630 Epoch: [21] [2760/5278] eta: 1:51:37 lr: 2.49506518457175e-05 loss: 0.0630 (0.0676) loss_seg: 0.0623 (0.0668) loss_lansim: 0.0608 (0.0700) loss_contra: 0.0003 (0.0032) time: 2.6535 data: 0.0052 max mem: 31630 Epoch: [21] [2770/5278] eta: 1:51:11 lr: 2.4948349192771208e-05 loss: 0.0630 (0.0675) loss_seg: 0.0623 (0.0668) loss_lansim: 0.0624 (0.0700) loss_contra: 0.0004 (0.0032) time: 2.6595 data: 0.0052 max mem: 31630 Epoch: [21] [2780/5278] eta: 1:50:44 lr: 2.4946046516210508e-05 loss: 0.0625 (0.0675) loss_seg: 0.0618 (0.0668) loss_lansim: 0.0620 (0.0700) loss_contra: 0.0006 (0.0033) time: 2.6550 data: 0.0052 max mem: 31630 Epoch: [21] [2790/5278] eta: 1:50:17 lr: 2.494374381603273e-05 loss: 0.0625 (0.0676) loss_seg: 0.0618 (0.0668) loss_lansim: 0.0620 (0.0700) loss_contra: 0.0006 (0.0033) time: 2.6592 data: 0.0052 max mem: 31630 Epoch: [21] [2800/5278] eta: 1:49:51 lr: 2.4941441092235214e-05 loss: 0.0625 (0.0675) loss_seg: 0.0618 (0.0668) loss_lansim: 0.0621 (0.0700) loss_contra: 0.0006 (0.0033) time: 2.6594 data: 0.0052 max mem: 31630 Epoch: [21] [2810/5278] eta: 1:49:24 lr: 2.4939138344815292e-05 loss: 0.0625 (0.0676) loss_seg: 0.0617 (0.0669) loss_lansim: 0.0620 (0.0699) loss_contra: 0.0006 (0.0033) time: 2.6581 data: 0.0052 max mem: 31630 Epoch: [21] [2820/5278] eta: 1:48:58 lr: 2.4936835573770304e-05 loss: 0.0624 (0.0676) loss_seg: 0.0616 (0.0669) loss_lansim: 0.0631 (0.0699) loss_contra: 0.0006 (0.0033) time: 2.6583 data: 0.0052 max mem: 31630 Epoch: [21] [2830/5278] eta: 1:48:31 lr: 2.4934532779097575e-05 loss: 0.0619 (0.0676) loss_seg: 0.0612 (0.0669) loss_lansim: 0.0631 (0.0699) loss_contra: 0.0007 (0.0033) time: 2.6590 data: 0.0052 max mem: 31630 Epoch: [21] [2840/5278] eta: 1:48:04 lr: 2.4932229960794443e-05 loss: 0.0612 (0.0675) loss_seg: 0.0606 (0.0668) loss_lansim: 0.0628 (0.0698) loss_contra: 0.0007 (0.0033) time: 2.6607 data: 0.0052 max mem: 31630 Epoch: [21] [2850/5278] eta: 1:47:38 lr: 2.492992711885824e-05 loss: 0.0597 (0.0675) loss_seg: 0.0591 (0.0668) loss_lansim: 0.0619 (0.0698) loss_contra: 0.0007 (0.0033) time: 2.6583 data: 0.0052 max mem: 31630 Epoch: [21] [2860/5278] eta: 1:47:11 lr: 2.49276242532863e-05 loss: 0.0596 (0.0675) loss_seg: 0.0590 (0.0668) loss_lansim: 0.0619 (0.0698) loss_contra: 0.0007 (0.0033) time: 2.6605 data: 0.0052 max mem: 31630 Epoch: [21] [2870/5278] eta: 1:46:45 lr: 2.4925321364075948e-05 loss: 0.0597 (0.0676) loss_seg: 0.0591 (0.0668) loss_lansim: 0.0611 (0.0697) loss_contra: 0.0007 (0.0033) time: 2.6600 data: 0.0052 max mem: 31630 Epoch: [21] [2880/5278] eta: 1:46:18 lr: 2.4923018451224518e-05 loss: 0.0596 (0.0675) loss_seg: 0.0590 (0.0668) loss_lansim: 0.0611 (0.0697) loss_contra: 0.0005 (0.0033) time: 2.6571 data: 0.0052 max mem: 31630 Epoch: [21] [2890/5278] eta: 1:45:52 lr: 2.492071551472934e-05 loss: 0.0596 (0.0675) loss_seg: 0.0590 (0.0668) loss_lansim: 0.0608 (0.0697) loss_contra: 0.0004 (0.0033) time: 2.6612 data: 0.0052 max mem: 31630 Epoch: [21] [2900/5278] eta: 1:45:25 lr: 2.4918412554587746e-05 loss: 0.0597 (0.0676) loss_seg: 0.0591 (0.0668) loss_lansim: 0.0601 (0.0696) loss_contra: 0.0003 (0.0033) time: 2.6595 data: 0.0052 max mem: 31630 Epoch: [21] [2910/5278] eta: 1:44:58 lr: 2.4916109570797063e-05 loss: 0.0602 (0.0675) loss_seg: 0.0596 (0.0668) loss_lansim: 0.0600 (0.0696) loss_contra: 0.0003 (0.0033) time: 2.6624 data: 0.0052 max mem: 31630 Epoch: [21] [2920/5278] eta: 1:44:32 lr: 2.4913806563354615e-05 loss: 0.0602 (0.0675) loss_seg: 0.0596 (0.0668) loss_lansim: 0.0593 (0.0696) loss_contra: 0.0003 (0.0033) time: 2.6603 data: 0.0052 max mem: 31630 Epoch: [21] [2930/5278] eta: 1:44:05 lr: 2.491150353225774e-05 loss: 0.0590 (0.0675) loss_seg: 0.0584 (0.0668) loss_lansim: 0.0593 (0.0695) loss_contra: 0.0003 (0.0033) time: 2.6660 data: 0.0052 max mem: 31630 Epoch: [21] [2940/5278] eta: 1:43:39 lr: 2.4909200477503754e-05 loss: 0.0612 (0.0675) loss_seg: 0.0606 (0.0668) loss_lansim: 0.0593 (0.0695) loss_contra: 0.0003 (0.0033) time: 2.6642 data: 0.0052 max mem: 31630 Epoch: [21] [2950/5278] eta: 1:43:12 lr: 2.490689739908999e-05 loss: 0.0612 (0.0675) loss_seg: 0.0606 (0.0668) loss_lansim: 0.0593 (0.0695) loss_contra: 0.0003 (0.0033) time: 2.6688 data: 0.0052 max mem: 31630 Epoch: [21] [2960/5278] eta: 1:42:46 lr: 2.4904594297013772e-05 loss: 0.0606 (0.0675) loss_seg: 0.0600 (0.0668) loss_lansim: 0.0592 (0.0694) loss_contra: 0.0003 (0.0033) time: 2.6696 data: 0.0053 max mem: 31630 Epoch: [21] [2970/5278] eta: 1:42:19 lr: 2.4902291171272426e-05 loss: 0.0592 (0.0676) loss_seg: 0.0586 (0.0669) loss_lansim: 0.0592 (0.0694) loss_contra: 0.0003 (0.0034) time: 2.6682 data: 0.0053 max mem: 31630 Epoch: [21] [2980/5278] eta: 1:41:52 lr: 2.4899988021863278e-05 loss: 0.0606 (0.0676) loss_seg: 0.0600 (0.0669) loss_lansim: 0.0592 (0.0694) loss_contra: 0.0004 (0.0033) time: 2.6690 data: 0.0053 max mem: 31630 Epoch: [21] [2990/5278] eta: 1:41:26 lr: 2.4897684848783653e-05 loss: 0.0606 (0.0676) loss_seg: 0.0600 (0.0669) loss_lansim: 0.0592 (0.0693) loss_contra: 0.0004 (0.0034) time: 2.6672 data: 0.0053 max mem: 31630 Epoch: [21] [3000/5278] eta: 1:40:59 lr: 2.489538165203087e-05 loss: 0.0606 (0.0676) loss_seg: 0.0600 (0.0669) loss_lansim: 0.0593 (0.0693) loss_contra: 0.0005 (0.0034) time: 2.6670 data: 0.0052 max mem: 31630 Epoch: [21] [3010/5278] eta: 1:40:33 lr: 2.4893078431602254e-05 loss: 0.0607 (0.0676) loss_seg: 0.0601 (0.0669) loss_lansim: 0.0593 (0.0693) loss_contra: 0.0005 (0.0034) time: 2.6656 data: 0.0052 max mem: 31630 Epoch: [21] [3020/5278] eta: 1:40:06 lr: 2.489077518749513e-05 loss: 0.0610 (0.0676) loss_seg: 0.0605 (0.0669) loss_lansim: 0.0596 (0.0693) loss_contra: 0.0006 (0.0034) time: 2.6676 data: 0.0052 max mem: 31630 Epoch: [21] [3030/5278] eta: 1:39:40 lr: 2.4888471919706824e-05 loss: 0.0639 (0.0676) loss_seg: 0.0633 (0.0669) loss_lansim: 0.0593 (0.0692) loss_contra: 0.0006 (0.0034) time: 2.6631 data: 0.0052 max mem: 31630 Epoch: [21] [3040/5278] eta: 1:39:13 lr: 2.4886168628234645e-05 loss: 0.0629 (0.0676) loss_seg: 0.0624 (0.0669) loss_lansim: 0.0594 (0.0692) loss_contra: 0.0006 (0.0034) time: 2.6665 data: 0.0052 max mem: 31630 Epoch: [21] [3050/5278] eta: 1:38:46 lr: 2.4883865313075925e-05 loss: 0.0639 (0.0676) loss_seg: 0.0633 (0.0669) loss_lansim: 0.0596 (0.0692) loss_contra: 0.0006 (0.0034) time: 2.6631 data: 0.0052 max mem: 31630 Epoch: [21] [3060/5278] eta: 1:38:20 lr: 2.4881561974227977e-05 loss: 0.0614 (0.0676) loss_seg: 0.0607 (0.0668) loss_lansim: 0.0596 (0.0691) loss_contra: 0.0005 (0.0034) time: 2.6677 data: 0.0052 max mem: 31630 Epoch: [21] [3070/5278] eta: 1:37:54 lr: 2.4879258611688132e-05 loss: 0.0610 (0.0676) loss_seg: 0.0605 (0.0668) loss_lansim: 0.0598 (0.0691) loss_contra: 0.0005 (0.0034) time: 2.6676 data: 0.0052 max mem: 31630 Epoch: [21] [3080/5278] eta: 1:37:27 lr: 2.4876955225453695e-05 loss: 0.0608 (0.0675) loss_seg: 0.0601 (0.0668) loss_lansim: 0.0598 (0.0691) loss_contra: 0.0005 (0.0034) time: 2.6700 data: 0.0052 max mem: 31630 Epoch: [21] [3090/5278] eta: 1:37:00 lr: 2.4874651815521987e-05 loss: 0.0608 (0.0675) loss_seg: 0.0601 (0.0668) loss_lansim: 0.0596 (0.0691) loss_contra: 0.0006 (0.0034) time: 2.6626 data: 0.0052 max mem: 31630 Epoch: [21] [3100/5278] eta: 1:36:34 lr: 2.487234838189033e-05 loss: 0.0604 (0.0675) loss_seg: 0.0597 (0.0668) loss_lansim: 0.0595 (0.0690) loss_contra: 0.0005 (0.0034) time: 2.6677 data: 0.0052 max mem: 31630 Epoch: [21] [3110/5278] eta: 1:36:07 lr: 2.4870044924556053e-05 loss: 0.0586 (0.0675) loss_seg: 0.0581 (0.0668) loss_lansim: 0.0592 (0.0690) loss_contra: 0.0006 (0.0034) time: 2.6673 data: 0.0052 max mem: 31630 Epoch: [21] [3120/5278] eta: 1:35:41 lr: 2.4867741443516447e-05 loss: 0.0575 (0.0675) loss_seg: 0.0570 (0.0667) loss_lansim: 0.0592 (0.0690) loss_contra: 0.0005 (0.0034) time: 2.6668 data: 0.0052 max mem: 31630 Epoch: [21] [3130/5278] eta: 1:35:14 lr: 2.4865437938768847e-05 loss: 0.0592 (0.0675) loss_seg: 0.0585 (0.0667) loss_lansim: 0.0594 (0.0689) loss_contra: 0.0005 (0.0034) time: 2.6665 data: 0.0052 max mem: 31630 Epoch: [21] [3140/5278] eta: 1:34:48 lr: 2.486313441031056e-05 loss: 0.0581 (0.0674) loss_seg: 0.0575 (0.0667) loss_lansim: 0.0593 (0.0689) loss_contra: 0.0005 (0.0034) time: 2.6660 data: 0.0052 max mem: 31630 Epoch: [21] [3150/5278] eta: 1:34:21 lr: 2.4860830858138907e-05 loss: 0.0581 (0.0674) loss_seg: 0.0575 (0.0667) loss_lansim: 0.0592 (0.0689) loss_contra: 0.0005 (0.0034) time: 2.6686 data: 0.0052 max mem: 31630 Epoch: [21] [3160/5278] eta: 1:33:54 lr: 2.485852728225121e-05 loss: 0.0586 (0.0674) loss_seg: 0.0580 (0.0667) loss_lansim: 0.0594 (0.0689) loss_contra: 0.0004 (0.0034) time: 2.6653 data: 0.0052 max mem: 31630 Epoch: [21] [3170/5278] eta: 1:33:28 lr: 2.485622368264476e-05 loss: 0.0589 (0.0675) loss_seg: 0.0583 (0.0667) loss_lansim: 0.0595 (0.0688) loss_contra: 0.0004 (0.0034) time: 2.6640 data: 0.0052 max mem: 31630 Epoch: [21] [3180/5278] eta: 1:33:01 lr: 2.4853920059316888e-05 loss: 0.0597 (0.0675) loss_seg: 0.0591 (0.0668) loss_lansim: 0.0596 (0.0688) loss_contra: 0.0004 (0.0034) time: 2.6661 data: 0.0052 max mem: 31630 Epoch: [21] [3190/5278] eta: 1:32:35 lr: 2.48516164122649e-05 loss: 0.0589 (0.0675) loss_seg: 0.0583 (0.0667) loss_lansim: 0.0597 (0.0688) loss_contra: 0.0004 (0.0034) time: 2.6707 data: 0.0052 max mem: 31630 Epoch: [21] [3200/5278] eta: 1:32:08 lr: 2.4849312741486115e-05 loss: 0.0587 (0.0674) loss_seg: 0.0581 (0.0667) loss_lansim: 0.0600 (0.0688) loss_contra: 0.0004 (0.0034) time: 2.6678 data: 0.0052 max mem: 31630 Epoch: [21] [3210/5278] eta: 1:31:42 lr: 2.4847009046977835e-05 loss: 0.0612 (0.0675) loss_seg: 0.0607 (0.0667) loss_lansim: 0.0600 (0.0688) loss_contra: 0.0004 (0.0034) time: 2.6715 data: 0.0052 max mem: 31630 Epoch: [21] [3220/5278] eta: 1:31:15 lr: 2.4844705328737376e-05 loss: 0.0626 (0.0675) loss_seg: 0.0610 (0.0668) loss_lansim: 0.0604 (0.0688) loss_contra: 0.0005 (0.0034) time: 2.6717 data: 0.0052 max mem: 31630 Epoch: [21] [3230/5278] eta: 1:30:49 lr: 2.4842401586762048e-05 loss: 0.0613 (0.0675) loss_seg: 0.0607 (0.0668) loss_lansim: 0.0608 (0.0687) loss_contra: 0.0004 (0.0034) time: 2.6749 data: 0.0052 max mem: 31630 Epoch: [21] [3240/5278] eta: 1:30:22 lr: 2.4840097821049166e-05 loss: 0.0637 (0.0676) loss_seg: 0.0629 (0.0669) loss_lansim: 0.0608 (0.0687) loss_contra: 0.0005 (0.0034) time: 2.6729 data: 0.0052 max mem: 31630 Epoch: [21] [3250/5278] eta: 1:29:56 lr: 2.4837794031596028e-05 loss: 0.0643 (0.0677) loss_seg: 0.0638 (0.0669) loss_lansim: 0.0612 (0.0687) loss_contra: 0.0005 (0.0034) time: 2.6699 data: 0.0052 max mem: 31630 Epoch: [21] [3260/5278] eta: 1:29:29 lr: 2.483549021839995e-05 loss: 0.0648 (0.0677) loss_seg: 0.0641 (0.0670) loss_lansim: 0.0613 (0.0687) loss_contra: 0.0005 (0.0034) time: 2.6676 data: 0.0052 max mem: 31630 Epoch: [21] [3270/5278] eta: 1:29:02 lr: 2.483318638145824e-05 loss: 0.0632 (0.0676) loss_seg: 0.0625 (0.0669) loss_lansim: 0.0614 (0.0687) loss_contra: 0.0006 (0.0034) time: 2.6711 data: 0.0052 max mem: 31630 Epoch: [21] [3280/5278] eta: 1:28:36 lr: 2.4830882520768206e-05 loss: 0.0619 (0.0676) loss_seg: 0.0610 (0.0669) loss_lansim: 0.0614 (0.0686) loss_contra: 0.0005 (0.0034) time: 2.6710 data: 0.0052 max mem: 31630 Epoch: [21] [3290/5278] eta: 1:28:09 lr: 2.482857863632715e-05 loss: 0.0630 (0.0676) loss_seg: 0.0624 (0.0669) loss_lansim: 0.0621 (0.0686) loss_contra: 0.0005 (0.0034) time: 2.6707 data: 0.0053 max mem: 31630 Epoch: [21] [3300/5278] eta: 1:27:43 lr: 2.482627472813238e-05 loss: 0.0641 (0.0677) loss_seg: 0.0634 (0.0670) loss_lansim: 0.0621 (0.0686) loss_contra: 0.0005 (0.0035) time: 2.6668 data: 0.0053 max mem: 31630 Epoch: [21] [3310/5278] eta: 1:27:16 lr: 2.4823970796181205e-05 loss: 0.0636 (0.0677) loss_seg: 0.0629 (0.0670) loss_lansim: 0.0625 (0.0686) loss_contra: 0.0004 (0.0035) time: 2.6673 data: 0.0053 max mem: 31630 Epoch: [21] [3320/5278] eta: 1:26:49 lr: 2.4821666840470936e-05 loss: 0.0636 (0.0677) loss_seg: 0.0630 (0.0670) loss_lansim: 0.0622 (0.0686) loss_contra: 0.0003 (0.0035) time: 2.6644 data: 0.0053 max mem: 31630 Epoch: [21] [3330/5278] eta: 1:26:23 lr: 2.481936286099886e-05 loss: 0.0636 (0.0677) loss_seg: 0.0630 (0.0670) loss_lansim: 0.0623 (0.0686) loss_contra: 0.0004 (0.0035) time: 2.6661 data: 0.0053 max mem: 31630 Epoch: [21] [3340/5278] eta: 1:25:56 lr: 2.4817058857762295e-05 loss: 0.0630 (0.0677) loss_seg: 0.0624 (0.0670) loss_lansim: 0.0626 (0.0685) loss_contra: 0.0005 (0.0035) time: 2.6664 data: 0.0053 max mem: 31630 Epoch: [21] [3350/5278] eta: 1:25:30 lr: 2.481475483075854e-05 loss: 0.0615 (0.0677) loss_seg: 0.0608 (0.0669) loss_lansim: 0.0622 (0.0685) loss_contra: 0.0004 (0.0035) time: 2.6696 data: 0.0053 max mem: 31630 Epoch: [21] [3360/5278] eta: 1:25:03 lr: 2.4812450779984902e-05 loss: 0.0607 (0.0676) loss_seg: 0.0601 (0.0669) loss_lansim: 0.0620 (0.0685) loss_contra: 0.0004 (0.0035) time: 2.6694 data: 0.0053 max mem: 31630 Epoch: [21] [3370/5278] eta: 1:24:37 lr: 2.4810146705438675e-05 loss: 0.0636 (0.0677) loss_seg: 0.0629 (0.0669) loss_lansim: 0.0613 (0.0685) loss_contra: 0.0004 (0.0035) time: 2.6677 data: 0.0053 max mem: 31630 Epoch: [21] [3380/5278] eta: 1:24:10 lr: 2.4807842607117165e-05 loss: 0.0652 (0.0677) loss_seg: 0.0646 (0.0670) loss_lansim: 0.0607 (0.0684) loss_contra: 0.0005 (0.0035) time: 2.6644 data: 0.0053 max mem: 31630 Epoch: [21] [3390/5278] eta: 1:23:44 lr: 2.4805538485017675e-05 loss: 0.0642 (0.0676) loss_seg: 0.0636 (0.0669) loss_lansim: 0.0604 (0.0684) loss_contra: 0.0006 (0.0035) time: 2.6639 data: 0.0053 max mem: 31630 Epoch: [21] [3400/5278] eta: 1:23:17 lr: 2.4803234339137497e-05 loss: 0.0609 (0.0676) loss_seg: 0.0603 (0.0669) loss_lansim: 0.0601 (0.0684) loss_contra: 0.0007 (0.0035) time: 2.6710 data: 0.0053 max mem: 31630 Epoch: [21] [3410/5278] eta: 1:22:50 lr: 2.480093016947395e-05 loss: 0.0621 (0.0677) loss_seg: 0.0614 (0.0670) loss_lansim: 0.0597 (0.0684) loss_contra: 0.0007 (0.0036) time: 2.6678 data: 0.0053 max mem: 31630 Epoch: [21] [3420/5278] eta: 1:22:24 lr: 2.4798625976024313e-05 loss: 0.0607 (0.0677) loss_seg: 0.0601 (0.0669) loss_lansim: 0.0595 (0.0683) loss_contra: 0.0007 (0.0036) time: 2.6731 data: 0.0053 max mem: 31630 Epoch: [21] [3430/5278] eta: 1:21:57 lr: 2.4796321758785893e-05 loss: 0.0605 (0.0676) loss_seg: 0.0600 (0.0669) loss_lansim: 0.0595 (0.0683) loss_contra: 0.0005 (0.0036) time: 2.6661 data: 0.0053 max mem: 31630 Epoch: [21] [3440/5278] eta: 1:21:31 lr: 2.4794017517755987e-05 loss: 0.0589 (0.0676) loss_seg: 0.0583 (0.0669) loss_lansim: 0.0593 (0.0683) loss_contra: 0.0005 (0.0036) time: 2.6656 data: 0.0053 max mem: 31630 Epoch: [21] [3450/5278] eta: 1:21:04 lr: 2.47917132529319e-05 loss: 0.0604 (0.0676) loss_seg: 0.0592 (0.0669) loss_lansim: 0.0588 (0.0683) loss_contra: 0.0007 (0.0036) time: 2.6657 data: 0.0053 max mem: 31630 Epoch: [21] [3460/5278] eta: 1:20:38 lr: 2.4789408964310915e-05 loss: 0.0598 (0.0676) loss_seg: 0.0592 (0.0669) loss_lansim: 0.0585 (0.0682) loss_contra: 0.0007 (0.0036) time: 2.6688 data: 0.0053 max mem: 31630 Epoch: [21] [3470/5278] eta: 1:20:11 lr: 2.4787104651890335e-05 loss: 0.0591 (0.0676) loss_seg: 0.0585 (0.0669) loss_lansim: 0.0585 (0.0682) loss_contra: 0.0007 (0.0036) time: 2.6670 data: 0.0053 max mem: 31630 Epoch: [21] [3480/5278] eta: 1:19:44 lr: 2.4784800315667462e-05 loss: 0.0598 (0.0676) loss_seg: 0.0592 (0.0669) loss_lansim: 0.0582 (0.0682) loss_contra: 0.0005 (0.0036) time: 2.6673 data: 0.0053 max mem: 31630 Epoch: [21] [3490/5278] eta: 1:19:18 lr: 2.4782495955639585e-05 loss: 0.0591 (0.0676) loss_seg: 0.0585 (0.0669) loss_lansim: 0.0581 (0.0681) loss_contra: 0.0007 (0.0036) time: 2.6697 data: 0.0053 max mem: 31630 Epoch: [21] [3500/5278] eta: 1:18:51 lr: 2.4780191571803996e-05 loss: 0.0602 (0.0676) loss_seg: 0.0597 (0.0669) loss_lansim: 0.0577 (0.0681) loss_contra: 0.0007 (0.0036) time: 2.6657 data: 0.0053 max mem: 31630 Epoch: [21] [3510/5278] eta: 1:18:25 lr: 2.4777887164157994e-05 loss: 0.0598 (0.0676) loss_seg: 0.0593 (0.0669) loss_lansim: 0.0577 (0.0681) loss_contra: 0.0008 (0.0036) time: 2.6657 data: 0.0053 max mem: 31630 Epoch: [21] [3520/5278] eta: 1:17:58 lr: 2.477558273269887e-05 loss: 0.0602 (0.0676) loss_seg: 0.0597 (0.0669) loss_lansim: 0.0566 (0.0680) loss_contra: 0.0007 (0.0036) time: 2.6606 data: 0.0053 max mem: 31630 Epoch: [21] [3530/5278] eta: 1:17:31 lr: 2.477327827742392e-05 loss: 0.0608 (0.0677) loss_seg: 0.0602 (0.0670) loss_lansim: 0.0565 (0.0680) loss_contra: 0.0007 (0.0036) time: 2.6665 data: 0.0053 max mem: 31630 Epoch: [21] [3540/5278] eta: 1:17:05 lr: 2.477097379833043e-05 loss: 0.0631 (0.0677) loss_seg: 0.0627 (0.0670) loss_lansim: 0.0564 (0.0680) loss_contra: 0.0007 (0.0036) time: 2.6694 data: 0.0053 max mem: 31630 Epoch: [21] [3550/5278] eta: 1:16:38 lr: 2.4768669295415697e-05 loss: 0.0631 (0.0677) loss_seg: 0.0627 (0.0670) loss_lansim: 0.0562 (0.0680) loss_contra: 0.0007 (0.0036) time: 2.6674 data: 0.0053 max mem: 31630 Epoch: [21] [3560/5278] eta: 1:16:12 lr: 2.4766364768677008e-05 loss: 0.0677 (0.0677) loss_seg: 0.0670 (0.0670) loss_lansim: 0.0569 (0.0679) loss_contra: 0.0006 (0.0036) time: 2.6641 data: 0.0053 max mem: 31630 Epoch: [21] [3570/5278] eta: 1:15:45 lr: 2.4764060218111664e-05 loss: 0.0664 (0.0677) loss_seg: 0.0658 (0.0670) loss_lansim: 0.0569 (0.0679) loss_contra: 0.0006 (0.0036) time: 2.6674 data: 0.0053 max mem: 31630 Epoch: [21] [3580/5278] eta: 1:15:19 lr: 2.476175564371694e-05 loss: 0.0685 (0.0677) loss_seg: 0.0679 (0.0670) loss_lansim: 0.0580 (0.0679) loss_contra: 0.0006 (0.0036) time: 2.6670 data: 0.0053 max mem: 31630 Epoch: [21] [3590/5278] eta: 1:14:52 lr: 2.4759451045490133e-05 loss: 0.0689 (0.0678) loss_seg: 0.0684 (0.0671) loss_lansim: 0.0569 (0.0678) loss_contra: 0.0005 (0.0036) time: 2.6653 data: 0.0053 max mem: 31630 Epoch: [21] [3600/5278] eta: 1:14:25 lr: 2.475714642342853e-05 loss: 0.0645 (0.0679) loss_seg: 0.0639 (0.0671) loss_lansim: 0.0580 (0.0678) loss_contra: 0.0004 (0.0036) time: 2.6630 data: 0.0053 max mem: 31630 Epoch: [21] [3610/5278] eta: 1:13:59 lr: 2.475484177752943e-05 loss: 0.0653 (0.0679) loss_seg: 0.0646 (0.0672) loss_lansim: 0.0580 (0.0678) loss_contra: 0.0004 (0.0036) time: 2.6665 data: 0.0053 max mem: 31630 Epoch: [21] [3620/5278] eta: 1:13:32 lr: 2.47525371077901e-05 loss: 0.0657 (0.0679) loss_seg: 0.0651 (0.0672) loss_lansim: 0.0580 (0.0678) loss_contra: 0.0004 (0.0036) time: 2.6705 data: 0.0053 max mem: 31630 Epoch: [21] [3630/5278] eta: 1:13:06 lr: 2.4750232414207846e-05 loss: 0.0670 (0.0679) loss_seg: 0.0664 (0.0672) loss_lansim: 0.0580 (0.0677) loss_contra: 0.0004 (0.0036) time: 2.6683 data: 0.0053 max mem: 31630 Epoch: [21] [3640/5278] eta: 1:12:39 lr: 2.474792769677994e-05 loss: 0.0670 (0.0680) loss_seg: 0.0664 (0.0672) loss_lansim: 0.0581 (0.0677) loss_contra: 0.0004 (0.0036) time: 2.6648 data: 0.0053 max mem: 31630 Epoch: [21] [3650/5278] eta: 1:12:12 lr: 2.474562295550367e-05 loss: 0.0686 (0.0680) loss_seg: 0.0679 (0.0673) loss_lansim: 0.0584 (0.0677) loss_contra: 0.0003 (0.0036) time: 2.6656 data: 0.0053 max mem: 31630 Epoch: [21] [3660/5278] eta: 1:11:46 lr: 2.4743318190376337e-05 loss: 0.0703 (0.0680) loss_seg: 0.0697 (0.0673) loss_lansim: 0.0581 (0.0677) loss_contra: 0.0004 (0.0036) time: 2.6651 data: 0.0053 max mem: 31630 Epoch: [21] [3670/5278] eta: 1:11:19 lr: 2.4741013401395207e-05 loss: 0.0703 (0.0680) loss_seg: 0.0697 (0.0673) loss_lansim: 0.0577 (0.0676) loss_contra: 0.0004 (0.0036) time: 2.6646 data: 0.0053 max mem: 31630 Epoch: [21] [3680/5278] eta: 1:10:53 lr: 2.473870858855757e-05 loss: 0.0703 (0.0680) loss_seg: 0.0697 (0.0673) loss_lansim: 0.0580 (0.0676) loss_contra: 0.0004 (0.0036) time: 2.6661 data: 0.0053 max mem: 31630 Epoch: [21] [3690/5278] eta: 1:10:26 lr: 2.4736403751860712e-05 loss: 0.0700 (0.0681) loss_seg: 0.0694 (0.0673) loss_lansim: 0.0583 (0.0676) loss_contra: 0.0004 (0.0036) time: 2.6669 data: 0.0053 max mem: 31630 Epoch: [21] [3700/5278] eta: 1:09:59 lr: 2.4734098891301917e-05 loss: 0.0697 (0.0681) loss_seg: 0.0690 (0.0673) loss_lansim: 0.0588 (0.0676) loss_contra: 0.0004 (0.0036) time: 2.6708 data: 0.0053 max mem: 31630 Epoch: [21] [3710/5278] eta: 1:09:33 lr: 2.4731794006878463e-05 loss: 0.0697 (0.0681) loss_seg: 0.0690 (0.0674) loss_lansim: 0.0598 (0.0676) loss_contra: 0.0004 (0.0037) time: 2.6704 data: 0.0053 max mem: 31630 Epoch: [21] [3720/5278] eta: 1:09:06 lr: 2.472948909858763e-05 loss: 0.0676 (0.0681) loss_seg: 0.0670 (0.0673) loss_lansim: 0.0598 (0.0676) loss_contra: 0.0005 (0.0037) time: 2.6698 data: 0.0053 max mem: 31630 Epoch: [21] [3730/5278] eta: 1:08:40 lr: 2.4727184166426703e-05 loss: 0.0672 (0.0681) loss_seg: 0.0666 (0.0673) loss_lansim: 0.0599 (0.0676) loss_contra: 0.0006 (0.0037) time: 2.6727 data: 0.0053 max mem: 31630 Epoch: [21] [3740/5278] eta: 1:08:13 lr: 2.472487921039297e-05 loss: 0.0672 (0.0681) loss_seg: 0.0666 (0.0674) loss_lansim: 0.0598 (0.0675) loss_contra: 0.0008 (0.0038) time: 2.6728 data: 0.0053 max mem: 31630 Epoch: [21] [3750/5278] eta: 1:07:47 lr: 2.472257423048369e-05 loss: 0.0663 (0.0681) loss_seg: 0.0653 (0.0674) loss_lansim: 0.0608 (0.0675) loss_contra: 0.0006 (0.0038) time: 2.6700 data: 0.0053 max mem: 31630 Epoch: [21] [3760/5278] eta: 1:07:20 lr: 2.472026922669616e-05 loss: 0.0657 (0.0681) loss_seg: 0.0645 (0.0674) loss_lansim: 0.0608 (0.0675) loss_contra: 0.0005 (0.0038) time: 2.6709 data: 0.0053 max mem: 31630 Epoch: [21] [3770/5278] eta: 1:06:53 lr: 2.471796419902765e-05 loss: 0.0660 (0.0681) loss_seg: 0.0650 (0.0674) loss_lansim: 0.0608 (0.0675) loss_contra: 0.0006 (0.0038) time: 2.6650 data: 0.0053 max mem: 31630 Epoch: [21] [3780/5278] eta: 1:06:27 lr: 2.4715659147475452e-05 loss: 0.0645 (0.0681) loss_seg: 0.0639 (0.0674) loss_lansim: 0.0615 (0.0675) loss_contra: 0.0007 (0.0038) time: 2.6646 data: 0.0053 max mem: 31630 Epoch: [21] [3790/5278] eta: 1:06:00 lr: 2.4713354072036822e-05 loss: 0.0638 (0.0681) loss_seg: 0.0632 (0.0674) loss_lansim: 0.0616 (0.0674) loss_contra: 0.0007 (0.0038) time: 2.6630 data: 0.0053 max mem: 31630 Epoch: [21] [3800/5278] eta: 1:05:33 lr: 2.4711048972709054e-05 loss: 0.0627 (0.0681) loss_seg: 0.0620 (0.0674) loss_lansim: 0.0608 (0.0674) loss_contra: 0.0006 (0.0038) time: 2.6610 data: 0.0053 max mem: 31630 Epoch: [21] [3810/5278] eta: 1:05:07 lr: 2.4708743849489414e-05 loss: 0.0630 (0.0681) loss_seg: 0.0624 (0.0674) loss_lansim: 0.0604 (0.0674) loss_contra: 0.0006 (0.0038) time: 2.6600 data: 0.0053 max mem: 31630 Epoch: [21] [3820/5278] eta: 1:04:40 lr: 2.470643870237519e-05 loss: 0.0638 (0.0681) loss_seg: 0.0632 (0.0674) loss_lansim: 0.0601 (0.0674) loss_contra: 0.0006 (0.0038) time: 2.6561 data: 0.0053 max mem: 31630 Epoch: [21] [3830/5278] eta: 1:04:13 lr: 2.4704133531363642e-05 loss: 0.0638 (0.0682) loss_seg: 0.0632 (0.0675) loss_lansim: 0.0599 (0.0674) loss_contra: 0.0005 (0.0038) time: 2.6547 data: 0.0053 max mem: 31630 Epoch: [21] [3840/5278] eta: 1:03:47 lr: 2.4701828336452055e-05 loss: 0.0634 (0.0682) loss_seg: 0.0628 (0.0675) loss_lansim: 0.0603 (0.0673) loss_contra: 0.0005 (0.0038) time: 2.6527 data: 0.0053 max mem: 31630 Epoch: [21] [3850/5278] eta: 1:03:20 lr: 2.4699523117637697e-05 loss: 0.0634 (0.0682) loss_seg: 0.0628 (0.0675) loss_lansim: 0.0599 (0.0673) loss_contra: 0.0005 (0.0038) time: 2.6527 data: 0.0053 max mem: 31630 Epoch: [21] [3860/5278] eta: 1:02:54 lr: 2.469721787491785e-05 loss: 0.0642 (0.0683) loss_seg: 0.0635 (0.0676) loss_lansim: 0.0601 (0.0673) loss_contra: 0.0004 (0.0038) time: 2.6566 data: 0.0053 max mem: 31630 Epoch: [21] [3870/5278] eta: 1:02:27 lr: 2.4694912608289775e-05 loss: 0.0642 (0.0683) loss_seg: 0.0635 (0.0676) loss_lansim: 0.0597 (0.0673) loss_contra: 0.0004 (0.0038) time: 2.6589 data: 0.0053 max mem: 31630 Epoch: [21] [3880/5278] eta: 1:02:00 lr: 2.4692607317750753e-05 loss: 0.0642 (0.0683) loss_seg: 0.0635 (0.0676) loss_lansim: 0.0595 (0.0673) loss_contra: 0.0003 (0.0037) time: 2.6567 data: 0.0053 max mem: 31630 Epoch: [21] [3890/5278] eta: 1:01:34 lr: 2.469030200329805e-05 loss: 0.0644 (0.0683) loss_seg: 0.0637 (0.0676) loss_lansim: 0.0590 (0.0672) loss_contra: 0.0003 (0.0038) time: 2.6573 data: 0.0053 max mem: 31630 Epoch: [21] [3900/5278] eta: 1:01:07 lr: 2.4687996664928938e-05 loss: 0.0667 (0.0684) loss_seg: 0.0661 (0.0676) loss_lansim: 0.0590 (0.0672) loss_contra: 0.0003 (0.0038) time: 2.6575 data: 0.0053 max mem: 31630 Epoch: [21] [3910/5278] eta: 1:00:40 lr: 2.46856913026407e-05 loss: 0.0667 (0.0684) loss_seg: 0.0661 (0.0676) loss_lansim: 0.0587 (0.0672) loss_contra: 0.0003 (0.0038) time: 2.6584 data: 0.0053 max mem: 31630 Epoch: [21] [3920/5278] eta: 1:00:14 lr: 2.4683385916430584e-05 loss: 0.0688 (0.0685) loss_seg: 0.0681 (0.0678) loss_lansim: 0.0585 (0.0672) loss_contra: 0.0002 (0.0038) time: 2.6628 data: 0.0053 max mem: 31630 Epoch: [21] [3930/5278] eta: 0:59:47 lr: 2.4681080506295874e-05 loss: 0.0685 (0.0685) loss_seg: 0.0679 (0.0678) loss_lansim: 0.0584 (0.0671) loss_contra: 0.0002 (0.0038) time: 2.6593 data: 0.0053 max mem: 31630 Epoch: [21] [3940/5278] eta: 0:59:21 lr: 2.467877507223383e-05 loss: 0.0643 (0.0685) loss_seg: 0.0636 (0.0678) loss_lansim: 0.0584 (0.0671) loss_contra: 0.0002 (0.0038) time: 2.6637 data: 0.0053 max mem: 31630 Epoch: [21] [3950/5278] eta: 0:58:54 lr: 2.4676469614241736e-05 loss: 0.0647 (0.0685) loss_seg: 0.0641 (0.0678) loss_lansim: 0.0584 (0.0671) loss_contra: 0.0003 (0.0038) time: 2.6647 data: 0.0053 max mem: 31630 Epoch: [21] [3960/5278] eta: 0:58:27 lr: 2.4674164132316836e-05 loss: 0.0647 (0.0685) loss_seg: 0.0641 (0.0678) loss_lansim: 0.0584 (0.0671) loss_contra: 0.0003 (0.0038) time: 2.6641 data: 0.0053 max mem: 31630 Epoch: [21] [3970/5278] eta: 0:58:01 lr: 2.4671858626456415e-05 loss: 0.0683 (0.0685) loss_seg: 0.0677 (0.0678) loss_lansim: 0.0582 (0.0671) loss_contra: 0.0003 (0.0038) time: 2.6683 data: 0.0053 max mem: 31630 Epoch: [21] [3980/5278] eta: 0:57:34 lr: 2.466955309665773e-05 loss: 0.0683 (0.0686) loss_seg: 0.0677 (0.0679) loss_lansim: 0.0581 (0.0670) loss_contra: 0.0004 (0.0038) time: 2.6726 data: 0.0053 max mem: 31630 Epoch: [21] [3990/5278] eta: 0:57:08 lr: 2.4667247542918058e-05 loss: 0.0700 (0.0686) loss_seg: 0.0693 (0.0679) loss_lansim: 0.0584 (0.0670) loss_contra: 0.0003 (0.0038) time: 2.6739 data: 0.0053 max mem: 31630 Epoch: [21] [4000/5278] eta: 0:56:41 lr: 2.4664941965234647e-05 loss: 0.0683 (0.0686) loss_seg: 0.0677 (0.0679) loss_lansim: 0.0584 (0.0670) loss_contra: 0.0003 (0.0038) time: 2.6734 data: 0.0053 max mem: 31630 Epoch: [21] [4010/5278] eta: 0:56:15 lr: 2.4662636363604775e-05 loss: 0.0694 (0.0687) loss_seg: 0.0688 (0.0680) loss_lansim: 0.0584 (0.0670) loss_contra: 0.0004 (0.0038) time: 2.6729 data: 0.0053 max mem: 31630 Epoch: [21] [4020/5278] eta: 0:55:48 lr: 2.4660330738025696e-05 loss: 0.0683 (0.0687) loss_seg: 0.0677 (0.0680) loss_lansim: 0.0577 (0.0669) loss_contra: 0.0004 (0.0037) time: 2.6680 data: 0.0053 max mem: 31630 Epoch: [21] [4030/5278] eta: 0:55:21 lr: 2.4658025088494687e-05 loss: 0.0694 (0.0687) loss_seg: 0.0688 (0.0680) loss_lansim: 0.0574 (0.0669) loss_contra: 0.0004 (0.0037) time: 2.6677 data: 0.0053 max mem: 31630 Epoch: [21] [4040/5278] eta: 0:54:55 lr: 2.4655719415008997e-05 loss: 0.0701 (0.0687) loss_seg: 0.0696 (0.0680) loss_lansim: 0.0564 (0.0669) loss_contra: 0.0005 (0.0038) time: 2.6665 data: 0.0053 max mem: 31630 Epoch: [21] [4050/5278] eta: 0:54:28 lr: 2.465341371756589e-05 loss: 0.0694 (0.0686) loss_seg: 0.0688 (0.0679) loss_lansim: 0.0558 (0.0668) loss_contra: 0.0005 (0.0038) time: 2.6650 data: 0.0053 max mem: 31630 Epoch: [21] [4060/5278] eta: 0:54:01 lr: 2.4651107996162633e-05 loss: 0.0694 (0.0687) loss_seg: 0.0688 (0.0680) loss_lansim: 0.0554 (0.0668) loss_contra: 0.0005 (0.0038) time: 2.6605 data: 0.0053 max mem: 31630 Epoch: [21] [4070/5278] eta: 0:53:35 lr: 2.464880225079649e-05 loss: 0.0683 (0.0687) loss_seg: 0.0678 (0.0680) loss_lansim: 0.0550 (0.0668) loss_contra: 0.0006 (0.0038) time: 2.6566 data: 0.0052 max mem: 31630 Epoch: [21] [4080/5278] eta: 0:53:08 lr: 2.464649648146471e-05 loss: 0.0670 (0.0687) loss_seg: 0.0664 (0.0680) loss_lansim: 0.0551 (0.0668) loss_contra: 0.0007 (0.0038) time: 2.6486 data: 0.0053 max mem: 31630 Epoch: [21] [4090/5278] eta: 0:52:41 lr: 2.464419068816456e-05 loss: 0.0645 (0.0687) loss_seg: 0.0640 (0.0680) loss_lansim: 0.0554 (0.0668) loss_contra: 0.0009 (0.0038) time: 2.6404 data: 0.0053 max mem: 31630 Epoch: [21] [4100/5278] eta: 0:52:14 lr: 2.4641884870893294e-05 loss: 0.0690 (0.0688) loss_seg: 0.0683 (0.0681) loss_lansim: 0.0554 (0.0668) loss_contra: 0.0010 (0.0039) time: 2.6339 data: 0.0053 max mem: 31630 Epoch: [21] [4110/5278] eta: 0:51:47 lr: 2.463957902964818e-05 loss: 0.0645 (0.0688) loss_seg: 0.0640 (0.0681) loss_lansim: 0.0551 (0.0667) loss_contra: 0.0016 (0.0039) time: 2.6243 data: 0.0053 max mem: 31630 Epoch: [21] [4120/5278] eta: 0:51:21 lr: 2.4637273164426468e-05 loss: 0.0692 (0.0689) loss_seg: 0.0688 (0.0682) loss_lansim: 0.0549 (0.0667) loss_contra: 0.0023 (0.0040) time: 2.6199 data: 0.0054 max mem: 31630 Epoch: [21] [4130/5278] eta: 0:50:54 lr: 2.4634967275225413e-05 loss: 0.0724 (0.0689) loss_seg: 0.0716 (0.0682) loss_lansim: 0.0543 (0.0666) loss_contra: 0.0024 (0.0040) time: 2.6148 data: 0.0054 max mem: 31630 Epoch: [21] [4140/5278] eta: 0:50:27 lr: 2.4632661362042274e-05 loss: 0.0726 (0.0690) loss_seg: 0.0719 (0.0683) loss_lansim: 0.0533 (0.0666) loss_contra: 0.0026 (0.0040) time: 2.6063 data: 0.0054 max mem: 31630 Epoch: [21] [4150/5278] eta: 0:50:00 lr: 2.4630355424874312e-05 loss: 0.0726 (0.0690) loss_seg: 0.0717 (0.0683) loss_lansim: 0.0525 (0.0665) loss_contra: 0.0027 (0.0040) time: 2.6011 data: 0.0055 max mem: 31630 Epoch: [21] [4160/5278] eta: 0:49:33 lr: 2.4628049463718784e-05 loss: 0.0692 (0.0691) loss_seg: 0.0688 (0.0684) loss_lansim: 0.0519 (0.0665) loss_contra: 0.0026 (0.0040) time: 2.5962 data: 0.0055 max mem: 31630 Epoch: [21] [4170/5278] eta: 0:49:07 lr: 2.462574347857294e-05 loss: 0.0692 (0.0691) loss_seg: 0.0688 (0.0683) loss_lansim: 0.0510 (0.0664) loss_contra: 0.0025 (0.0040) time: 2.5895 data: 0.0055 max mem: 31630 Epoch: [21] [4180/5278] eta: 0:48:40 lr: 2.4623437469434028e-05 loss: 0.0692 (0.0690) loss_seg: 0.0687 (0.0683) loss_lansim: 0.0491 (0.0664) loss_contra: 0.0024 (0.0040) time: 2.5869 data: 0.0055 max mem: 31630 Epoch: [21] [4190/5278] eta: 0:48:13 lr: 2.4621131436299307e-05 loss: 0.0690 (0.0690) loss_seg: 0.0675 (0.0683) loss_lansim: 0.0477 (0.0663) loss_contra: 0.0019 (0.0040) time: 2.5856 data: 0.0055 max mem: 31630 Epoch: [21] [4200/5278] eta: 0:47:46 lr: 2.4618825379166043e-05 loss: 0.0691 (0.0690) loss_seg: 0.0686 (0.0683) loss_lansim: 0.0466 (0.0663) loss_contra: 0.0018 (0.0040) time: 2.5856 data: 0.0055 max mem: 31630 Epoch: [21] [4210/5278] eta: 0:47:19 lr: 2.4616519298031466e-05 loss: 0.0691 (0.0690) loss_seg: 0.0686 (0.0683) loss_lansim: 0.0461 (0.0662) loss_contra: 0.0015 (0.0040) time: 2.5855 data: 0.0055 max mem: 31630 Epoch: [21] [4220/5278] eta: 0:46:53 lr: 2.461421319289284e-05 loss: 0.0649 (0.0690) loss_seg: 0.0645 (0.0683) loss_lansim: 0.0452 (0.0662) loss_contra: 0.0010 (0.0040) time: 2.5867 data: 0.0055 max mem: 31630 Epoch: [21] [4230/5278] eta: 0:46:26 lr: 2.461190706374741e-05 loss: 0.0649 (0.0690) loss_seg: 0.0645 (0.0683) loss_lansim: 0.0448 (0.0661) loss_contra: 0.0014 (0.0040) time: 2.5929 data: 0.0054 max mem: 31630 Epoch: [21] [4240/5278] eta: 0:45:59 lr: 2.4609600910592442e-05 loss: 0.0647 (0.0691) loss_seg: 0.0642 (0.0684) loss_lansim: 0.0447 (0.0661) loss_contra: 0.0010 (0.0040) time: 2.5974 data: 0.0054 max mem: 31630 Epoch: [21] [4250/5278] eta: 0:45:33 lr: 2.460729473342517e-05 loss: 0.0647 (0.0691) loss_seg: 0.0642 (0.0684) loss_lansim: 0.0445 (0.0660) loss_contra: 0.0010 (0.0040) time: 2.6054 data: 0.0054 max mem: 31630 Epoch: [21] [4260/5278] eta: 0:45:06 lr: 2.460498853224285e-05 loss: 0.0648 (0.0691) loss_seg: 0.0644 (0.0684) loss_lansim: 0.0443 (0.0660) loss_contra: 0.0011 (0.0040) time: 2.6092 data: 0.0054 max mem: 31630 Epoch: [21] [4270/5278] eta: 0:44:40 lr: 2.4602682307042726e-05 loss: 0.0660 (0.0691) loss_seg: 0.0656 (0.0684) loss_lansim: 0.0440 (0.0659) loss_contra: 0.0011 (0.0041) time: 2.6174 data: 0.0054 max mem: 31630 Epoch: [21] [4280/5278] eta: 0:44:13 lr: 2.4600376057822054e-05 loss: 0.0661 (0.0692) loss_seg: 0.0656 (0.0685) loss_lansim: 0.0435 (0.0659) loss_contra: 0.0012 (0.0041) time: 2.6223 data: 0.0054 max mem: 31630 Epoch: [21] [4290/5278] eta: 0:43:46 lr: 2.459806978457808e-05 loss: 0.0693 (0.0692) loss_seg: 0.0689 (0.0685) loss_lansim: 0.0431 (0.0658) loss_contra: 0.0011 (0.0041) time: 2.6296 data: 0.0054 max mem: 31630 Epoch: [21] [4300/5278] eta: 0:43:20 lr: 2.4595763487308044e-05 loss: 0.0661 (0.0692) loss_seg: 0.0656 (0.0685) loss_lansim: 0.0425 (0.0658) loss_contra: 0.0010 (0.0041) time: 2.6338 data: 0.0054 max mem: 31630 Epoch: [21] [4310/5278] eta: 0:42:53 lr: 2.4593457166009194e-05 loss: 0.0686 (0.0692) loss_seg: 0.0682 (0.0685) loss_lansim: 0.0422 (0.0657) loss_contra: 0.0013 (0.0042) time: 2.6404 data: 0.0054 max mem: 31630 Epoch: [21] [4320/5278] eta: 0:42:26 lr: 2.459115082067879e-05 loss: 0.0655 (0.0692) loss_seg: 0.0649 (0.0685) loss_lansim: 0.0419 (0.0656) loss_contra: 0.0014 (0.0042) time: 2.6455 data: 0.0054 max mem: 31630 Epoch: [21] [4330/5278] eta: 0:42:00 lr: 2.4588844451314056e-05 loss: 0.0655 (0.0692) loss_seg: 0.0649 (0.0685) loss_lansim: 0.0411 (0.0656) loss_contra: 0.0014 (0.0042) time: 2.6435 data: 0.0054 max mem: 31630 Epoch: [21] [4340/5278] eta: 0:41:33 lr: 2.4586538057912252e-05 loss: 0.0645 (0.0693) loss_seg: 0.0641 (0.0686) loss_lansim: 0.0404 (0.0655) loss_contra: 0.0016 (0.0042) time: 2.6478 data: 0.0054 max mem: 31630 Epoch: [21] [4350/5278] eta: 0:41:07 lr: 2.4584231640470616e-05 loss: 0.0679 (0.0693) loss_seg: 0.0675 (0.0686) loss_lansim: 0.0400 (0.0654) loss_contra: 0.0014 (0.0042) time: 2.6485 data: 0.0054 max mem: 31630 Epoch: [21] [4360/5278] eta: 0:40:40 lr: 2.4581925198986394e-05 loss: 0.0681 (0.0694) loss_seg: 0.0677 (0.0687) loss_lansim: 0.0396 (0.0654) loss_contra: 0.0014 (0.0043) time: 2.6530 data: 0.0054 max mem: 31630 Epoch: [21] [4370/5278] eta: 0:40:14 lr: 2.4579618733456827e-05 loss: 0.0679 (0.0694) loss_seg: 0.0675 (0.0687) loss_lansim: 0.0396 (0.0653) loss_contra: 0.0014 (0.0043) time: 2.6501 data: 0.0054 max mem: 31630 Epoch: [21] [4380/5278] eta: 0:39:47 lr: 2.457731224387915e-05 loss: 0.0629 (0.0693) loss_seg: 0.0624 (0.0686) loss_lansim: 0.0392 (0.0653) loss_contra: 0.0014 (0.0043) time: 2.6546 data: 0.0054 max mem: 31630 Epoch: [21] [4390/5278] eta: 0:39:20 lr: 2.4575005730250622e-05 loss: 0.0625 (0.0693) loss_seg: 0.0621 (0.0686) loss_lansim: 0.0386 (0.0652) loss_contra: 0.0014 (0.0043) time: 2.6534 data: 0.0054 max mem: 31630 Epoch: [21] [4400/5278] eta: 0:38:54 lr: 2.4572699192568468e-05 loss: 0.0607 (0.0693) loss_seg: 0.0596 (0.0686) loss_lansim: 0.0387 (0.0652) loss_contra: 0.0014 (0.0043) time: 2.6613 data: 0.0054 max mem: 31630 Epoch: [21] [4410/5278] eta: 0:38:27 lr: 2.457039263082994e-05 loss: 0.0597 (0.0693) loss_seg: 0.0593 (0.0686) loss_lansim: 0.0388 (0.0651) loss_contra: 0.0014 (0.0043) time: 2.6602 data: 0.0053 max mem: 31630 Epoch: [21] [4420/5278] eta: 0:38:01 lr: 2.456808604503227e-05 loss: 0.0629 (0.0693) loss_seg: 0.0624 (0.0686) loss_lansim: 0.0391 (0.0650) loss_contra: 0.0011 (0.0043) time: 2.6648 data: 0.0053 max mem: 31630 Epoch: [21] [4430/5278] eta: 0:37:34 lr: 2.4565779435172698e-05 loss: 0.0630 (0.0693) loss_seg: 0.0626 (0.0686) loss_lansim: 0.0392 (0.0650) loss_contra: 0.0010 (0.0043) time: 2.6691 data: 0.0053 max mem: 31630 Epoch: [21] [4440/5278] eta: 0:37:08 lr: 2.4563472801248465e-05 loss: 0.0634 (0.0693) loss_seg: 0.0630 (0.0686) loss_lansim: 0.0392 (0.0649) loss_contra: 0.0009 (0.0043) time: 2.6698 data: 0.0053 max mem: 31630 Epoch: [21] [4450/5278] eta: 0:36:41 lr: 2.456116614325681e-05 loss: 0.0599 (0.0692) loss_seg: 0.0595 (0.0685) loss_lansim: 0.0395 (0.0649) loss_contra: 0.0007 (0.0043) time: 2.6673 data: 0.0053 max mem: 31630 Epoch: [21] [4460/5278] eta: 0:36:14 lr: 2.4558859461194966e-05 loss: 0.0607 (0.0692) loss_seg: 0.0603 (0.0686) loss_lansim: 0.0393 (0.0648) loss_contra: 0.0007 (0.0043) time: 2.6686 data: 0.0053 max mem: 31630 Epoch: [21] [4470/5278] eta: 0:35:48 lr: 2.4556552755060175e-05 loss: 0.0614 (0.0692) loss_seg: 0.0610 (0.0686) loss_lansim: 0.0392 (0.0647) loss_contra: 0.0007 (0.0043) time: 2.6758 data: 0.0053 max mem: 31630 Epoch: [21] [4480/5278] eta: 0:35:21 lr: 2.455424602484967e-05 loss: 0.0630 (0.0692) loss_seg: 0.0626 (0.0685) loss_lansim: 0.0395 (0.0647) loss_contra: 0.0007 (0.0043) time: 2.6776 data: 0.0053 max mem: 31630 Epoch: [21] [4490/5278] eta: 0:34:55 lr: 2.4551939270560685e-05 loss: 0.0643 (0.0693) loss_seg: 0.0637 (0.0686) loss_lansim: 0.0398 (0.0646) loss_contra: 0.0007 (0.0043) time: 2.6864 data: 0.0054 max mem: 31630 Epoch: [21] [4500/5278] eta: 0:34:28 lr: 2.454963249219046e-05 loss: 0.0634 (0.0692) loss_seg: 0.0630 (0.0685) loss_lansim: 0.0400 (0.0646) loss_contra: 0.0007 (0.0043) time: 2.6807 data: 0.0054 max mem: 31630 Epoch: [21] [4510/5278] eta: 0:34:02 lr: 2.454732568973622e-05 loss: 0.0640 (0.0692) loss_seg: 0.0636 (0.0685) loss_lansim: 0.0401 (0.0645) loss_contra: 0.0006 (0.0043) time: 2.6872 data: 0.0054 max mem: 31630 Epoch: [21] [4520/5278] eta: 0:33:35 lr: 2.4545018863195212e-05 loss: 0.0630 (0.0692) loss_seg: 0.0626 (0.0685) loss_lansim: 0.0398 (0.0645) loss_contra: 0.0006 (0.0043) time: 2.6810 data: 0.0054 max mem: 31630 Epoch: [21] [4530/5278] eta: 0:33:09 lr: 2.4542712012564664e-05 loss: 0.0643 (0.0693) loss_seg: 0.0638 (0.0686) loss_lansim: 0.0399 (0.0644) loss_contra: 0.0005 (0.0043) time: 2.6798 data: 0.0054 max mem: 31630 Epoch: [21] [4540/5278] eta: 0:32:42 lr: 2.4540405137841805e-05 loss: 0.0646 (0.0693) loss_seg: 0.0642 (0.0686) loss_lansim: 0.0401 (0.0644) loss_contra: 0.0006 (0.0043) time: 2.6779 data: 0.0053 max mem: 31630 Epoch: [21] [4550/5278] eta: 0:32:15 lr: 2.4538098239023864e-05 loss: 0.0680 (0.0693) loss_seg: 0.0675 (0.0686) loss_lansim: 0.0401 (0.0643) loss_contra: 0.0006 (0.0043) time: 2.6808 data: 0.0053 max mem: 31630 Epoch: [21] [4560/5278] eta: 0:31:49 lr: 2.453579131610808e-05 loss: 0.0680 (0.0693) loss_seg: 0.0675 (0.0686) loss_lansim: 0.0399 (0.0643) loss_contra: 0.0006 (0.0043) time: 2.6783 data: 0.0053 max mem: 31630 Epoch: [21] [4570/5278] eta: 0:31:22 lr: 2.4533484369091687e-05 loss: 0.0664 (0.0693) loss_seg: 0.0661 (0.0686) loss_lansim: 0.0399 (0.0642) loss_contra: 0.0005 (0.0043) time: 2.6723 data: 0.0053 max mem: 31630 Epoch: [21] [4580/5278] eta: 0:30:56 lr: 2.45311773979719e-05 loss: 0.0679 (0.0693) loss_seg: 0.0675 (0.0686) loss_lansim: 0.0399 (0.0642) loss_contra: 0.0006 (0.0043) time: 2.6713 data: 0.0053 max mem: 31630 Epoch: [21] [4590/5278] eta: 0:30:29 lr: 2.452887040274596e-05 loss: 0.0671 (0.0693) loss_seg: 0.0668 (0.0686) loss_lansim: 0.0399 (0.0641) loss_contra: 0.0005 (0.0043) time: 2.6633 data: 0.0052 max mem: 31630 Epoch: [21] [4600/5278] eta: 0:30:03 lr: 2.4526563383411095e-05 loss: 0.0680 (0.0693) loss_seg: 0.0676 (0.0686) loss_lansim: 0.0399 (0.0641) loss_contra: 0.0004 (0.0043) time: 2.6626 data: 0.0052 max mem: 31630 Epoch: [21] [4610/5278] eta: 0:29:36 lr: 2.452425633996454e-05 loss: 0.0702 (0.0693) loss_seg: 0.0698 (0.0686) loss_lansim: 0.0399 (0.0640) loss_contra: 0.0004 (0.0043) time: 2.6573 data: 0.0052 max mem: 31630 Epoch: [21] [4620/5278] eta: 0:29:09 lr: 2.4521949272403503e-05 loss: 0.0692 (0.0693) loss_seg: 0.0687 (0.0686) loss_lansim: 0.0399 (0.0640) loss_contra: 0.0005 (0.0043) time: 2.6562 data: 0.0052 max mem: 31630 Epoch: [21] [4630/5278] eta: 0:28:43 lr: 2.4519642180725226e-05 loss: 0.0680 (0.0693) loss_seg: 0.0676 (0.0686) loss_lansim: 0.0395 (0.0639) loss_contra: 0.0007 (0.0043) time: 2.6587 data: 0.0052 max mem: 31630 Epoch: [21] [4640/5278] eta: 0:28:16 lr: 2.451733506492693e-05 loss: 0.0671 (0.0693) loss_seg: 0.0668 (0.0686) loss_lansim: 0.0391 (0.0638) loss_contra: 0.0007 (0.0043) time: 2.6586 data: 0.0052 max mem: 31630 Epoch: [21] [4650/5278] eta: 0:27:50 lr: 2.4515027925005842e-05 loss: 0.0680 (0.0694) loss_seg: 0.0676 (0.0687) loss_lansim: 0.0391 (0.0638) loss_contra: 0.0007 (0.0043) time: 2.6568 data: 0.0052 max mem: 31630 Epoch: [21] [4660/5278] eta: 0:27:23 lr: 2.4512720760959195e-05 loss: 0.0664 (0.0693) loss_seg: 0.0659 (0.0686) loss_lansim: 0.0396 (0.0637) loss_contra: 0.0007 (0.0043) time: 2.6571 data: 0.0052 max mem: 31630 Epoch: [21] [4670/5278] eta: 0:26:56 lr: 2.45104135727842e-05 loss: 0.0660 (0.0693) loss_seg: 0.0655 (0.0686) loss_lansim: 0.0395 (0.0637) loss_contra: 0.0007 (0.0043) time: 2.6569 data: 0.0052 max mem: 31630 Epoch: [21] [4680/5278] eta: 0:26:30 lr: 2.4508106360478093e-05 loss: 0.0657 (0.0693) loss_seg: 0.0653 (0.0686) loss_lansim: 0.0391 (0.0636) loss_contra: 0.0006 (0.0042) time: 2.6564 data: 0.0052 max mem: 31630 Epoch: [21] [4690/5278] eta: 0:26:03 lr: 2.4505799124038088e-05 loss: 0.0647 (0.0693) loss_seg: 0.0642 (0.0686) loss_lansim: 0.0391 (0.0636) loss_contra: 0.0007 (0.0042) time: 2.6577 data: 0.0052 max mem: 31630 Epoch: [21] [4700/5278] eta: 0:25:37 lr: 2.4503491863461418e-05 loss: 0.0653 (0.0693) loss_seg: 0.0648 (0.0687) loss_lansim: 0.0390 (0.0635) loss_contra: 0.0006 (0.0042) time: 2.6618 data: 0.0052 max mem: 31630 Epoch: [21] [4710/5278] eta: 0:25:10 lr: 2.450118457874529e-05 loss: 0.0657 (0.0695) loss_seg: 0.0653 (0.0688) loss_lansim: 0.0390 (0.0635) loss_contra: 0.0006 (0.0042) time: 2.6628 data: 0.0052 max mem: 31630 Epoch: [21] [4720/5278] eta: 0:24:43 lr: 2.449887726988694e-05 loss: 0.0659 (0.0695) loss_seg: 0.0655 (0.0688) loss_lansim: 0.0393 (0.0634) loss_contra: 0.0005 (0.0042) time: 2.6716 data: 0.0051 max mem: 31630 Epoch: [21] [4730/5278] eta: 0:24:17 lr: 2.4496569936883584e-05 loss: 0.0628 (0.0695) loss_seg: 0.0624 (0.0688) loss_lansim: 0.0392 (0.0634) loss_contra: 0.0005 (0.0042) time: 2.6721 data: 0.0051 max mem: 31630 Epoch: [21] [4740/5278] eta: 0:23:50 lr: 2.4494262579732446e-05 loss: 0.0614 (0.0695) loss_seg: 0.0608 (0.0688) loss_lansim: 0.0393 (0.0633) loss_contra: 0.0004 (0.0043) time: 2.6729 data: 0.0051 max mem: 31630 Epoch: [21] [4750/5278] eta: 0:23:24 lr: 2.4491955198430738e-05 loss: 0.0605 (0.0695) loss_seg: 0.0600 (0.0688) loss_lansim: 0.0391 (0.0633) loss_contra: 0.0003 (0.0043) time: 2.6750 data: 0.0051 max mem: 31630 Epoch: [21] [4760/5278] eta: 0:22:57 lr: 2.4489647792975683e-05 loss: 0.0614 (0.0695) loss_seg: 0.0610 (0.0688) loss_lansim: 0.0393 (0.0633) loss_contra: 0.0003 (0.0042) time: 2.6767 data: 0.0051 max mem: 31630 Epoch: [21] [4770/5278] eta: 0:22:31 lr: 2.4487340363364498e-05 loss: 0.0628 (0.0695) loss_seg: 0.0624 (0.0688) loss_lansim: 0.0394 (0.0632) loss_contra: 0.0004 (0.0042) time: 2.6833 data: 0.0051 max mem: 31630 Epoch: [21] [4780/5278] eta: 0:22:04 lr: 2.448503290959441e-05 loss: 0.0610 (0.0694) loss_seg: 0.0607 (0.0688) loss_lansim: 0.0394 (0.0632) loss_contra: 0.0005 (0.0042) time: 2.6828 data: 0.0051 max mem: 31630 Epoch: [21] [4790/5278] eta: 0:21:38 lr: 2.4482725431662617e-05 loss: 0.0628 (0.0695) loss_seg: 0.0624 (0.0688) loss_lansim: 0.0391 (0.0631) loss_contra: 0.0004 (0.0042) time: 2.6890 data: 0.0051 max mem: 31630 Epoch: [21] [4800/5278] eta: 0:21:11 lr: 2.4480417929566354e-05 loss: 0.0609 (0.0694) loss_seg: 0.0605 (0.0688) loss_lansim: 0.0391 (0.0631) loss_contra: 0.0006 (0.0042) time: 2.6841 data: 0.0051 max mem: 31630 Epoch: [21] [4810/5278] eta: 0:20:44 lr: 2.4478110403302828e-05 loss: 0.0600 (0.0694) loss_seg: 0.0596 (0.0688) loss_lansim: 0.0388 (0.0630) loss_contra: 0.0006 (0.0042) time: 2.6872 data: 0.0051 max mem: 31630 Epoch: [21] [4820/5278] eta: 0:20:18 lr: 2.4475802852869264e-05 loss: 0.0605 (0.0694) loss_seg: 0.0601 (0.0688) loss_lansim: 0.0387 (0.0630) loss_contra: 0.0006 (0.0042) time: 2.6801 data: 0.0051 max mem: 31630 Epoch: [21] [4830/5278] eta: 0:19:51 lr: 2.4473495278262864e-05 loss: 0.0608 (0.0694) loss_seg: 0.0604 (0.0688) loss_lansim: 0.0391 (0.0629) loss_contra: 0.0006 (0.0042) time: 2.6807 data: 0.0051 max mem: 31630 Epoch: [21] [4840/5278] eta: 0:19:25 lr: 2.447118767948085e-05 loss: 0.0600 (0.0694) loss_seg: 0.0596 (0.0688) loss_lansim: 0.0388 (0.0629) loss_contra: 0.0006 (0.0042) time: 2.6819 data: 0.0051 max mem: 31630 Epoch: [21] [4850/5278] eta: 0:18:58 lr: 2.4468880056520432e-05 loss: 0.0598 (0.0694) loss_seg: 0.0592 (0.0687) loss_lansim: 0.0387 (0.0628) loss_contra: 0.0006 (0.0043) time: 2.6827 data: 0.0051 max mem: 31630 Epoch: [21] [4860/5278] eta: 0:18:31 lr: 2.4466572409378827e-05 loss: 0.0563 (0.0694) loss_seg: 0.0558 (0.0687) loss_lansim: 0.0387 (0.0628) loss_contra: 0.0006 (0.0043) time: 2.6804 data: 0.0051 max mem: 31630 Epoch: [21] [4870/5278] eta: 0:18:05 lr: 2.4464264738053248e-05 loss: 0.0565 (0.0694) loss_seg: 0.0562 (0.0687) loss_lansim: 0.0391 (0.0627) loss_contra: 0.0005 (0.0042) time: 2.6711 data: 0.0050 max mem: 31630 Epoch: [21] [4880/5278] eta: 0:17:38 lr: 2.44619570425409e-05 loss: 0.0586 (0.0694) loss_seg: 0.0582 (0.0687) loss_lansim: 0.0392 (0.0627) loss_contra: 0.0005 (0.0043) time: 2.6705 data: 0.0050 max mem: 31630 Epoch: [21] [4890/5278] eta: 0:17:12 lr: 2.4459649322838998e-05 loss: 0.0567 (0.0694) loss_seg: 0.0563 (0.0687) loss_lansim: 0.0396 (0.0626) loss_contra: 0.0006 (0.0043) time: 2.6669 data: 0.0050 max mem: 31630 Epoch: [21] [4900/5278] eta: 0:16:45 lr: 2.4457341578944752e-05 loss: 0.0605 (0.0694) loss_seg: 0.0601 (0.0687) loss_lansim: 0.0394 (0.0626) loss_contra: 0.0006 (0.0042) time: 2.6683 data: 0.0050 max mem: 31630 Epoch: [21] [4910/5278] eta: 0:16:18 lr: 2.445503381085538e-05 loss: 0.0605 (0.0694) loss_seg: 0.0601 (0.0687) loss_lansim: 0.0400 (0.0625) loss_contra: 0.0006 (0.0043) time: 2.6635 data: 0.0050 max mem: 31630 Epoch: [21] [4920/5278] eta: 0:15:52 lr: 2.445272601856808e-05 loss: 0.0605 (0.0694) loss_seg: 0.0601 (0.0687) loss_lansim: 0.0400 (0.0625) loss_contra: 0.0006 (0.0042) time: 2.6657 data: 0.0050 max mem: 31630 Epoch: [21] [4930/5278] eta: 0:15:25 lr: 2.445041820208006e-05 loss: 0.0605 (0.0694) loss_seg: 0.0601 (0.0687) loss_lansim: 0.0400 (0.0625) loss_contra: 0.0005 (0.0042) time: 2.6606 data: 0.0050 max mem: 31630 Epoch: [21] [4940/5278] eta: 0:14:59 lr: 2.4448110361388536e-05 loss: 0.0611 (0.0694) loss_seg: 0.0606 (0.0687) loss_lansim: 0.0402 (0.0624) loss_contra: 0.0004 (0.0042) time: 2.6590 data: 0.0050 max mem: 31630 Epoch: [21] [4950/5278] eta: 0:14:32 lr: 2.4445802496490718e-05 loss: 0.0613 (0.0694) loss_seg: 0.0608 (0.0687) loss_lansim: 0.0405 (0.0624) loss_contra: 0.0005 (0.0042) time: 2.6538 data: 0.0050 max mem: 31630 Epoch: [21] [4960/5278] eta: 0:14:05 lr: 2.44434946073838e-05 loss: 0.0645 (0.0694) loss_seg: 0.0641 (0.0687) loss_lansim: 0.0404 (0.0623) loss_contra: 0.0005 (0.0042) time: 2.6594 data: 0.0051 max mem: 31630 Epoch: [21] [4970/5278] eta: 0:13:39 lr: 2.4441186694064998e-05 loss: 0.0630 (0.0694) loss_seg: 0.0625 (0.0687) loss_lansim: 0.0402 (0.0623) loss_contra: 0.0004 (0.0042) time: 2.6629 data: 0.0051 max mem: 31630 Epoch: [21] [4980/5278] eta: 0:13:12 lr: 2.4438878756531516e-05 loss: 0.0618 (0.0694) loss_seg: 0.0614 (0.0687) loss_lansim: 0.0402 (0.0622) loss_contra: 0.0004 (0.0042) time: 2.6640 data: 0.0051 max mem: 31630 Epoch: [21] [4990/5278] eta: 0:12:46 lr: 2.4436570794780563e-05 loss: 0.0646 (0.0694) loss_seg: 0.0642 (0.0687) loss_lansim: 0.0402 (0.0622) loss_contra: 0.0003 (0.0042) time: 2.6630 data: 0.0051 max mem: 31630 Epoch: [21] [5000/5278] eta: 0:12:19 lr: 2.4434262808809332e-05 loss: 0.0632 (0.0694) loss_seg: 0.0628 (0.0687) loss_lansim: 0.0407 (0.0621) loss_contra: 0.0003 (0.0042) time: 2.6663 data: 0.0051 max mem: 31630 Epoch: [21] [5010/5278] eta: 0:11:52 lr: 2.4431954798615036e-05 loss: 0.0630 (0.0694) loss_seg: 0.0626 (0.0687) loss_lansim: 0.0407 (0.0621) loss_contra: 0.0002 (0.0042) time: 2.6669 data: 0.0051 max mem: 31630 Epoch: [21] [5020/5278] eta: 0:11:26 lr: 2.4429646764194873e-05 loss: 0.0632 (0.0694) loss_seg: 0.0628 (0.0687) loss_lansim: 0.0409 (0.0621) loss_contra: 0.0002 (0.0042) time: 2.6732 data: 0.0051 max mem: 31630 Epoch: [21] [5030/5278] eta: 0:10:59 lr: 2.4427338705546054e-05 loss: 0.0618 (0.0694) loss_seg: 0.0614 (0.0687) loss_lansim: 0.0407 (0.0620) loss_contra: 0.0003 (0.0042) time: 2.6725 data: 0.0051 max mem: 31630 Epoch: [21] [5040/5278] eta: 0:10:33 lr: 2.4425030622665774e-05 loss: 0.0618 (0.0693) loss_seg: 0.0614 (0.0687) loss_lansim: 0.0402 (0.0620) loss_contra: 0.0003 (0.0042) time: 2.6744 data: 0.0051 max mem: 31630 Epoch: [21] [5050/5278] eta: 0:10:06 lr: 2.442272251555123e-05 loss: 0.0630 (0.0693) loss_seg: 0.0626 (0.0687) loss_lansim: 0.0399 (0.0619) loss_contra: 0.0004 (0.0042) time: 2.6785 data: 0.0051 max mem: 31630 Epoch: [21] [5060/5278] eta: 0:09:39 lr: 2.4420414384199633e-05 loss: 0.0627 (0.0693) loss_seg: 0.0623 (0.0687) loss_lansim: 0.0396 (0.0619) loss_contra: 0.0003 (0.0042) time: 2.6781 data: 0.0051 max mem: 31630 Epoch: [21] [5070/5278] eta: 0:09:13 lr: 2.441810622860818e-05 loss: 0.0627 (0.0693) loss_seg: 0.0623 (0.0687) loss_lansim: 0.0396 (0.0618) loss_contra: 0.0003 (0.0042) time: 2.6778 data: 0.0051 max mem: 31630 Epoch: [21] [5080/5278] eta: 0:08:46 lr: 2.4415798048774067e-05 loss: 0.0630 (0.0693) loss_seg: 0.0626 (0.0687) loss_lansim: 0.0392 (0.0618) loss_contra: 0.0003 (0.0042) time: 2.6790 data: 0.0051 max mem: 31630 Epoch: [21] [5090/5278] eta: 0:08:20 lr: 2.4413489844694492e-05 loss: 0.0627 (0.0693) loss_seg: 0.0623 (0.0687) loss_lansim: 0.0382 (0.0617) loss_contra: 0.0003 (0.0042) time: 2.6773 data: 0.0051 max mem: 31630 Epoch: [21] [5100/5278] eta: 0:07:53 lr: 2.4411181616366657e-05 loss: 0.0650 (0.0694) loss_seg: 0.0646 (0.0687) loss_lansim: 0.0376 (0.0617) loss_contra: 0.0003 (0.0042) time: 2.6761 data: 0.0051 max mem: 31630 Epoch: [21] [5110/5278] eta: 0:07:26 lr: 2.440887336378776e-05 loss: 0.0671 (0.0694) loss_seg: 0.0668 (0.0687) loss_lansim: 0.0367 (0.0616) loss_contra: 0.0003 (0.0042) time: 2.6801 data: 0.0051 max mem: 31630 Epoch: [21] [5120/5278] eta: 0:07:00 lr: 2.4406565086955e-05 loss: 0.0663 (0.0694) loss_seg: 0.0659 (0.0688) loss_lansim: 0.0364 (0.0616) loss_contra: 0.0003 (0.0042) time: 2.6737 data: 0.0051 max mem: 31630 Epoch: [21] [5130/5278] eta: 0:06:33 lr: 2.4404256785865563e-05 loss: 0.0671 (0.0694) loss_seg: 0.0668 (0.0688) loss_lansim: 0.0364 (0.0615) loss_contra: 0.0003 (0.0042) time: 2.6750 data: 0.0051 max mem: 31630 Epoch: [21] [5140/5278] eta: 0:06:07 lr: 2.4401948460516657e-05 loss: 0.0658 (0.0694) loss_seg: 0.0655 (0.0687) loss_lansim: 0.0363 (0.0615) loss_contra: 0.0003 (0.0041) time: 2.6684 data: 0.0051 max mem: 31630 Epoch: [21] [5150/5278] eta: 0:05:40 lr: 2.4399640110905468e-05 loss: 0.0626 (0.0694) loss_seg: 0.0621 (0.0687) loss_lansim: 0.0362 (0.0614) loss_contra: 0.0003 (0.0041) time: 2.6696 data: 0.0051 max mem: 31630 Epoch: [21] [5160/5278] eta: 0:05:13 lr: 2.43973317370292e-05 loss: 0.0622 (0.0694) loss_seg: 0.0618 (0.0687) loss_lansim: 0.0362 (0.0614) loss_contra: 0.0003 (0.0041) time: 2.6633 data: 0.0051 max mem: 31630 Epoch: [21] [5170/5278] eta: 0:04:47 lr: 2.439502333888504e-05 loss: 0.0609 (0.0693) loss_seg: 0.0605 (0.0687) loss_lansim: 0.0361 (0.0613) loss_contra: 0.0003 (0.0041) time: 2.6668 data: 0.0051 max mem: 31630 Epoch: [21] [5180/5278] eta: 0:04:20 lr: 2.439271491647018e-05 loss: 0.0615 (0.0693) loss_seg: 0.0611 (0.0687) loss_lansim: 0.0359 (0.0613) loss_contra: 0.0004 (0.0041) time: 2.6653 data: 0.0051 max mem: 31630 Epoch: [21] [5190/5278] eta: 0:03:54 lr: 2.4390406469781816e-05 loss: 0.0615 (0.0693) loss_seg: 0.0611 (0.0687) loss_lansim: 0.0360 (0.0612) loss_contra: 0.0004 (0.0041) time: 2.6735 data: 0.0051 max mem: 31630 Epoch: [21] [5200/5278] eta: 0:03:27 lr: 2.4388097998817145e-05 loss: 0.0604 (0.0693) loss_seg: 0.0600 (0.0687) loss_lansim: 0.0362 (0.0612) loss_contra: 0.0004 (0.0041) time: 2.6720 data: 0.0051 max mem: 31630 Epoch: [21] [5210/5278] eta: 0:03:00 lr: 2.4385789503573348e-05 loss: 0.0585 (0.0693) loss_seg: 0.0581 (0.0687) loss_lansim: 0.0362 (0.0611) loss_contra: 0.0004 (0.0041) time: 2.6706 data: 0.0050 max mem: 31630 Epoch: [21] [5220/5278] eta: 0:02:34 lr: 2.4383480984047618e-05 loss: 0.0585 (0.0693) loss_seg: 0.0581 (0.0687) loss_lansim: 0.0355 (0.0611) loss_contra: 0.0004 (0.0041) time: 2.6673 data: 0.0050 max mem: 31630 Epoch: [21] [5230/5278] eta: 0:02:07 lr: 2.4381172440237148e-05 loss: 0.0595 (0.0693) loss_seg: 0.0591 (0.0687) loss_lansim: 0.0354 (0.0610) loss_contra: 0.0003 (0.0041) time: 2.6696 data: 0.0050 max mem: 31630 Epoch: [21] [5240/5278] eta: 0:01:41 lr: 2.4378863872139136e-05 loss: 0.0586 (0.0693) loss_seg: 0.0582 (0.0687) loss_lansim: 0.0355 (0.0610) loss_contra: 0.0004 (0.0041) time: 2.6742 data: 0.0050 max mem: 31630 Epoch: [21] [5250/5278] eta: 0:01:14 lr: 2.4376555279750757e-05 loss: 0.0586 (0.0693) loss_seg: 0.0582 (0.0687) loss_lansim: 0.0355 (0.0609) loss_contra: 0.0003 (0.0041) time: 2.6737 data: 0.0051 max mem: 31630 Epoch: [21] [5260/5278] eta: 0:00:47 lr: 2.4374246663069202e-05 loss: 0.0585 (0.0693) loss_seg: 0.0581 (0.0686) loss_lansim: 0.0350 (0.0609) loss_contra: 0.0004 (0.0041) time: 2.6767 data: 0.0051 max mem: 31630 Epoch: [21] [5270/5278] eta: 0:00:21 lr: 2.4371938022091663e-05 loss: 0.0586 (0.0693) loss_seg: 0.0582 (0.0686) loss_lansim: 0.0350 (0.0608) loss_contra: 0.0004 (0.0041) time: 2.6737 data: 0.0051 max mem: 31630 Epoch: [21] Total time: 3:54:04 Test: [ 0/2573] eta: 1:00:24 time: 1.4087 data: 1.2482 max mem: 31630 Test: [ 100/2573] eta: 0:06:10 time: 0.1373 data: 0.0013 max mem: 31630 Test: [ 200/2573] eta: 0:05:46 time: 0.1422 data: 0.0014 max mem: 31630 Test: [ 300/2573] eta: 0:05:26 time: 0.1387 data: 0.0014 max mem: 31630 Test: [ 400/2573] eta: 0:05:10 time: 0.1401 data: 0.0014 max mem: 31630 Test: [ 500/2573] eta: 0:04:55 time: 0.1413 data: 0.0014 max mem: 31630 Test: [ 600/2573] eta: 0:04:41 time: 0.1426 data: 0.0014 max mem: 31630 Test: [ 700/2573] eta: 0:04:27 time: 0.1464 data: 0.0014 max mem: 31630 Test: [ 800/2573] eta: 0:04:13 time: 0.1435 data: 0.0014 max mem: 31630 Test: [ 900/2573] eta: 0:03:59 time: 0.1434 data: 0.0013 max mem: 31630 Test: [1000/2573] eta: 0:03:44 time: 0.1421 data: 0.0014 max mem: 31630 Test: [1100/2573] eta: 0:03:30 time: 0.1412 data: 0.0013 max mem: 31630 Test: [1200/2573] eta: 0:03:16 time: 0.1436 data: 0.0014 max mem: 31630 Test: [1300/2573] eta: 0:03:01 time: 0.1421 data: 0.0014 max mem: 31630 Test: [1400/2573] eta: 0:02:47 time: 0.1385 data: 0.0014 max mem: 31630 Test: [1500/2573] eta: 0:02:32 time: 0.1428 data: 0.0014 max mem: 31630 Test: [1600/2573] eta: 0:02:18 time: 0.1421 data: 0.0013 max mem: 31630 Test: [1700/2573] eta: 0:02:04 time: 0.1429 data: 0.0014 max mem: 31630 Test: [1800/2573] eta: 0:01:50 time: 0.1403 data: 0.0014 max mem: 31630 Test: [1900/2573] eta: 0:01:35 time: 0.1388 data: 0.0013 max mem: 31630 Test: [2000/2573] eta: 0:01:21 time: 0.1389 data: 0.0014 max mem: 31630 Test: [2100/2573] eta: 0:01:07 time: 0.1435 data: 0.0013 max mem: 31630 Test: [2200/2573] eta: 0:00:52 time: 0.1390 data: 0.0013 max mem: 31630 Test: [2300/2573] eta: 0:00:38 time: 0.1440 data: 0.0013 max mem: 31630 Test: [2400/2573] eta: 0:00:24 time: 0.1421 data: 0.0014 max mem: 31630 Test: [2500/2573] eta: 0:00:10 time: 0.1440 data: 0.0014 max mem: 31630 Test: Total time: 0:06:06 Final results: precision@0.5 = 67.91 precision@0.6 = 62.75 precision@0.7 = 56.15 precision@0.8 = 45.20 precision@0.9 = 21.26 overall IoU = 58.24 mean IoU = 60.02 Better epoch: 21 The best_performance is 58.239422867907635 Epoch: [22] [ 0/5278] eta: 6:32:23 lr: 2.4370091091814635e-05 loss: 0.0645 (0.0645) loss_seg: 0.0641 (0.0641) loss_lansim: 0.0391 (0.0391) loss_contra: 0.0001 (0.0001) time: 4.4606 data: 1.7233 max mem: 31630 Epoch: [22] [ 10/5278] eta: 4:11:17 lr: 2.4367782407097233e-05 loss: 0.0608 (0.0801) loss_seg: 0.0604 (0.0797) loss_lansim: 0.0346 (0.0344) loss_contra: 0.0002 (0.0048) time: 2.8621 data: 0.1612 max mem: 31630 Epoch: [22] [ 20/5278] eta: 4:02:34 lr: 2.4365473698075975e-05 loss: 0.0573 (0.0703) loss_seg: 0.0569 (0.0699) loss_lansim: 0.0351 (0.0347) loss_contra: 0.0002 (0.0031) time: 2.7681 data: 0.0870 max mem: 31630 Epoch: [22] [ 30/5278] eta: 3:59:01 lr: 2.4363164964748032e-05 loss: 0.0564 (0.0659) loss_seg: 0.0560 (0.0655) loss_lansim: 0.0350 (0.0348) loss_contra: 0.0002 (0.0037) time: 2.7328 data: 0.0606 max mem: 31630 Epoch: [22] [ 40/5278] eta: 3:56:33 lr: 2.4360856207110596e-05 loss: 0.0514 (0.0615) loss_seg: 0.0510 (0.0611) loss_lansim: 0.0349 (0.0347) loss_contra: 0.0002 (0.0032) time: 2.7097 data: 0.0471 max mem: 31630 Epoch: [22] [ 50/5278] eta: 3:55:33 lr: 2.4358547425160852e-05 loss: 0.0536 (0.0627) loss_seg: 0.0532 (0.0623) loss_lansim: 0.0349 (0.0345) loss_contra: 0.0002 (0.0028) time: 2.7035 data: 0.0389 max mem: 31630 Epoch: [22] [ 60/5278] eta: 3:54:30 lr: 2.4356238618895986e-05 loss: 0.0510 (0.0613) loss_seg: 0.0506 (0.0609) loss_lansim: 0.0348 (0.0345) loss_contra: 0.0003 (0.0025) time: 2.6965 data: 0.0335 max mem: 31630 Epoch: [22] [ 70/5278] eta: 3:54:17 lr: 2.4353929788313178e-05 loss: 0.0510 (0.0627) loss_seg: 0.0506 (0.0623) loss_lansim: 0.0348 (0.0347) loss_contra: 0.0003 (0.0024) time: 2.6991 data: 0.0295 max mem: 31630 Epoch: [22] [ 80/5278] eta: 3:53:15 lr: 2.4351620933409603e-05 loss: 0.0536 (0.0634) loss_seg: 0.0532 (0.0630) loss_lansim: 0.0350 (0.0351) loss_contra: 0.0003 (0.0022) time: 2.6925 data: 0.0265 max mem: 31630 Epoch: [22] [ 90/5278] eta: 3:52:23 lr: 2.434931205418245e-05 loss: 0.0564 (0.0638) loss_seg: 0.0561 (0.0634) loss_lansim: 0.0352 (0.0352) loss_contra: 0.0003 (0.0021) time: 2.6876 data: 0.0242 max mem: 31630 Epoch: [22] [ 100/5278] eta: 3:51:52 lr: 2.4347003150628906e-05 loss: 0.0565 (0.0645) loss_seg: 0.0561 (0.0641) loss_lansim: 0.0352 (0.0353) loss_contra: 0.0003 (0.0020) time: 2.6692 data: 0.0053 max mem: 31630 Epoch: [22] [ 110/5278] eta: 3:51:05 lr: 2.434469422274614e-05 loss: 0.0564 (0.0634) loss_seg: 0.0560 (0.0630) loss_lansim: 0.0354 (0.0358) loss_contra: 0.0003 (0.0021) time: 2.6632 data: 0.0054 max mem: 31630 Epoch: [22] [ 120/5278] eta: 3:50:47 lr: 2.4342385270531334e-05 loss: 0.0530 (0.0619) loss_seg: 0.0527 (0.0615) loss_lansim: 0.0358 (0.0361) loss_contra: 0.0003 (0.0019) time: 2.6671 data: 0.0053 max mem: 31630 Epoch: [22] [ 130/5278] eta: 3:50:09 lr: 2.4340076293981672e-05 loss: 0.0543 (0.0620) loss_seg: 0.0539 (0.0616) loss_lansim: 0.0357 (0.0360) loss_contra: 0.0003 (0.0018) time: 2.6668 data: 0.0053 max mem: 31630 Epoch: [22] [ 140/5278] eta: 3:49:36 lr: 2.4337767293094327e-05 loss: 0.0552 (0.0616) loss_seg: 0.0548 (0.0612) loss_lansim: 0.0359 (0.0361) loss_contra: 0.0003 (0.0017) time: 2.6697 data: 0.0053 max mem: 31630 Epoch: [22] [ 150/5278] eta: 3:49:04 lr: 2.4335458267866488e-05 loss: 0.0570 (0.0620) loss_seg: 0.0566 (0.0616) loss_lansim: 0.0364 (0.0362) loss_contra: 0.0003 (0.0016) time: 2.6684 data: 0.0053 max mem: 31630 Epoch: [22] [ 160/5278] eta: 3:48:34 lr: 2.433314921829532e-05 loss: 0.0590 (0.0624) loss_seg: 0.0586 (0.0620) loss_lansim: 0.0369 (0.0364) loss_contra: 0.0002 (0.0016) time: 2.6693 data: 0.0052 max mem: 31630 Epoch: [22] [ 170/5278] eta: 3:48:15 lr: 2.4330840144377996e-05 loss: 0.0594 (0.0627) loss_seg: 0.0589 (0.0623) loss_lansim: 0.0370 (0.0366) loss_contra: 0.0002 (0.0019) time: 2.6684 data: 0.0052 max mem: 31630 Epoch: [22] [ 180/5278] eta: 3:47:55 lr: 2.4328531046111705e-05 loss: 0.0586 (0.0632) loss_seg: 0.0583 (0.0628) loss_lansim: 0.0369 (0.0365) loss_contra: 0.0003 (0.0021) time: 2.6744 data: 0.0052 max mem: 31630 Epoch: [22] [ 190/5278] eta: 3:47:33 lr: 2.4326221923493624e-05 loss: 0.0581 (0.0632) loss_seg: 0.0577 (0.0628) loss_lansim: 0.0370 (0.0366) loss_contra: 0.0004 (0.0020) time: 2.6796 data: 0.0052 max mem: 31630 Epoch: [22] [ 200/5278] eta: 3:47:06 lr: 2.4323912776520912e-05 loss: 0.0570 (0.0630) loss_seg: 0.0566 (0.0626) loss_lansim: 0.0371 (0.0365) loss_contra: 0.0004 (0.0024) time: 2.6800 data: 0.0053 max mem: 31630 Epoch: [22] [ 210/5278] eta: 3:46:33 lr: 2.4321603605190756e-05 loss: 0.0574 (0.0628) loss_seg: 0.0570 (0.0624) loss_lansim: 0.0366 (0.0364) loss_contra: 0.0004 (0.0024) time: 2.6815 data: 0.0053 max mem: 31630 Epoch: [22] [ 220/5278] eta: 3:46:09 lr: 2.431929440950032e-05 loss: 0.0604 (0.0627) loss_seg: 0.0600 (0.0623) loss_lansim: 0.0360 (0.0364) loss_contra: 0.0004 (0.0023) time: 2.6804 data: 0.0054 max mem: 31630 Epoch: [22] [ 230/5278] eta: 3:45:40 lr: 2.431698518944679e-05 loss: 0.0587 (0.0624) loss_seg: 0.0584 (0.0620) loss_lansim: 0.0360 (0.0362) loss_contra: 0.0004 (0.0023) time: 2.6820 data: 0.0054 max mem: 31630 Epoch: [22] [ 240/5278] eta: 3:45:06 lr: 2.4314675945027325e-05 loss: 0.0595 (0.0622) loss_seg: 0.0591 (0.0618) loss_lansim: 0.0359 (0.0363) loss_contra: 0.0004 (0.0024) time: 2.6801 data: 0.0055 max mem: 31630 Epoch: [22] [ 250/5278] eta: 3:44:39 lr: 2.4312366676239102e-05 loss: 0.0583 (0.0622) loss_seg: 0.0579 (0.0618) loss_lansim: 0.0359 (0.0363) loss_contra: 0.0004 (0.0023) time: 2.6819 data: 0.0056 max mem: 31630 Epoch: [22] [ 260/5278] eta: 3:44:09 lr: 2.4310057383079292e-05 loss: 0.0578 (0.0621) loss_seg: 0.0574 (0.0617) loss_lansim: 0.0358 (0.0364) loss_contra: 0.0004 (0.0022) time: 2.6813 data: 0.0056 max mem: 31630 Epoch: [22] [ 270/5278] eta: 3:43:44 lr: 2.4307748065545072e-05 loss: 0.0571 (0.0618) loss_seg: 0.0568 (0.0614) loss_lansim: 0.0359 (0.0364) loss_contra: 0.0003 (0.0022) time: 2.6797 data: 0.0056 max mem: 31630 Epoch: [22] [ 280/5278] eta: 3:43:11 lr: 2.43054387236336e-05 loss: 0.0558 (0.0615) loss_seg: 0.0554 (0.0611) loss_lansim: 0.0357 (0.0363) loss_contra: 0.0003 (0.0023) time: 2.6739 data: 0.0055 max mem: 31630 Epoch: [22] [ 290/5278] eta: 3:42:47 lr: 2.430312935734205e-05 loss: 0.0550 (0.0612) loss_seg: 0.0546 (0.0608) loss_lansim: 0.0357 (0.0364) loss_contra: 0.0003 (0.0022) time: 2.6734 data: 0.0055 max mem: 31630 Epoch: [22] [ 300/5278] eta: 3:42:12 lr: 2.4300819966667587e-05 loss: 0.0550 (0.0611) loss_seg: 0.0546 (0.0607) loss_lansim: 0.0359 (0.0364) loss_contra: 0.0003 (0.0022) time: 2.6681 data: 0.0054 max mem: 31630 Epoch: [22] [ 310/5278] eta: 3:41:47 lr: 2.4298510551607393e-05 loss: 0.0536 (0.0607) loss_seg: 0.0532 (0.0603) loss_lansim: 0.0357 (0.0363) loss_contra: 0.0002 (0.0021) time: 2.6709 data: 0.0054 max mem: 31630 Epoch: [22] [ 320/5278] eta: 3:41:15 lr: 2.4296201112158616e-05 loss: 0.0520 (0.0606) loss_seg: 0.0517 (0.0602) loss_lansim: 0.0357 (0.0363) loss_contra: 0.0003 (0.0023) time: 2.6661 data: 0.0053 max mem: 31630 Epoch: [22] [ 330/5278] eta: 3:40:43 lr: 2.4293891648318435e-05 loss: 0.0536 (0.0615) loss_seg: 0.0532 (0.0611) loss_lansim: 0.0359 (0.0363) loss_contra: 0.0003 (0.0023) time: 2.6631 data: 0.0052 max mem: 31630 Epoch: [22] [ 340/5278] eta: 3:40:13 lr: 2.429158216008401e-05 loss: 0.0531 (0.0617) loss_seg: 0.0527 (0.0613) loss_lansim: 0.0357 (0.0363) loss_contra: 0.0003 (0.0023) time: 2.6642 data: 0.0051 max mem: 31630 Epoch: [22] [ 350/5278] eta: 3:39:37 lr: 2.428927264745251e-05 loss: 0.0518 (0.0615) loss_seg: 0.0514 (0.0611) loss_lansim: 0.0361 (0.0364) loss_contra: 0.0003 (0.0022) time: 2.6570 data: 0.0051 max mem: 31630 Epoch: [22] [ 360/5278] eta: 3:39:07 lr: 2.4286963110421097e-05 loss: 0.0526 (0.0619) loss_seg: 0.0523 (0.0615) loss_lansim: 0.0355 (0.0364) loss_contra: 0.0003 (0.0027) time: 2.6556 data: 0.0050 max mem: 31630 Epoch: [22] [ 370/5278] eta: 3:38:37 lr: 2.428465354898694e-05 loss: 0.0539 (0.0623) loss_seg: 0.0536 (0.0619) loss_lansim: 0.0354 (0.0364) loss_contra: 0.0003 (0.0026) time: 2.6510 data: 0.0050 max mem: 31630 Epoch: [22] [ 380/5278] eta: 3:38:04 lr: 2.4282343963147196e-05 loss: 0.0550 (0.0622) loss_seg: 0.0546 (0.0618) loss_lansim: 0.0356 (0.0364) loss_contra: 0.0003 (0.0026) time: 2.6492 data: 0.0050 max mem: 31630 Epoch: [22] [ 390/5278] eta: 3:37:34 lr: 2.428003435289903e-05 loss: 0.0540 (0.0619) loss_seg: 0.0537 (0.0615) loss_lansim: 0.0355 (0.0364) loss_contra: 0.0003 (0.0026) time: 2.6442 data: 0.0050 max mem: 31630 Epoch: [22] [ 400/5278] eta: 3:37:08 lr: 2.4277724718239608e-05 loss: 0.0526 (0.0618) loss_seg: 0.0523 (0.0614) loss_lansim: 0.0354 (0.0365) loss_contra: 0.0003 (0.0026) time: 2.6481 data: 0.0050 max mem: 31630 Epoch: [22] [ 410/5278] eta: 3:36:35 lr: 2.4275415059166084e-05 loss: 0.0544 (0.0620) loss_seg: 0.0540 (0.0616) loss_lansim: 0.0357 (0.0365) loss_contra: 0.0003 (0.0026) time: 2.6413 data: 0.0050 max mem: 31630 Epoch: [22] [ 420/5278] eta: 3:36:05 lr: 2.4273105375675626e-05 loss: 0.0551 (0.0619) loss_seg: 0.0547 (0.0615) loss_lansim: 0.0359 (0.0365) loss_contra: 0.0003 (0.0025) time: 2.6412 data: 0.0050 max mem: 31630 Epoch: [22] [ 430/5278] eta: 3:35:38 lr: 2.4270795667765388e-05 loss: 0.0551 (0.0617) loss_seg: 0.0547 (0.0613) loss_lansim: 0.0361 (0.0365) loss_contra: 0.0003 (0.0026) time: 2.6439 data: 0.0050 max mem: 31630 Epoch: [22] [ 440/5278] eta: 3:35:08 lr: 2.426848593543254e-05 loss: 0.0552 (0.0617) loss_seg: 0.0548 (0.0613) loss_lansim: 0.0363 (0.0365) loss_contra: 0.0003 (0.0026) time: 2.6415 data: 0.0050 max mem: 31630 Epoch: [22] [ 450/5278] eta: 3:34:37 lr: 2.4266176178674234e-05 loss: 0.0580 (0.0618) loss_seg: 0.0575 (0.0615) loss_lansim: 0.0361 (0.0365) loss_contra: 0.0003 (0.0030) time: 2.6437 data: 0.0050 max mem: 31630 Epoch: [22] [ 460/5278] eta: 3:34:04 lr: 2.4263866397487622e-05 loss: 0.0553 (0.0617) loss_seg: 0.0548 (0.0613) loss_lansim: 0.0363 (0.0365) loss_contra: 0.0002 (0.0030) time: 2.6388 data: 0.0050 max mem: 31630 Epoch: [22] [ 470/5278] eta: 3:33:35 lr: 2.426155659186987e-05 loss: 0.0544 (0.0616) loss_seg: 0.0540 (0.0612) loss_lansim: 0.0365 (0.0366) loss_contra: 0.0004 (0.0031) time: 2.6385 data: 0.0050 max mem: 31630 Epoch: [22] [ 480/5278] eta: 3:33:12 lr: 2.4259246761818145e-05 loss: 0.0540 (0.0614) loss_seg: 0.0537 (0.0610) loss_lansim: 0.0366 (0.0366) loss_contra: 0.0005 (0.0031) time: 2.6459 data: 0.0050 max mem: 31630 Epoch: [22] [ 490/5278] eta: 3:32:45 lr: 2.425693690732958e-05 loss: 0.0552 (0.0615) loss_seg: 0.0548 (0.0611) loss_lansim: 0.0366 (0.0366) loss_contra: 0.0005 (0.0031) time: 2.6483 data: 0.0050 max mem: 31630 Epoch: [22] [ 500/5278] eta: 3:32:22 lr: 2.4254627028401344e-05 loss: 0.0557 (0.0616) loss_seg: 0.0554 (0.0612) loss_lansim: 0.0366 (0.0366) loss_contra: 0.0005 (0.0031) time: 2.6511 data: 0.0050 max mem: 31630 Epoch: [22] [ 510/5278] eta: 3:31:58 lr: 2.4252317125030592e-05 loss: 0.0551 (0.0615) loss_seg: 0.0547 (0.0611) loss_lansim: 0.0363 (0.0366) loss_contra: 0.0003 (0.0030) time: 2.6595 data: 0.0050 max mem: 31630 Epoch: [22] [ 520/5278] eta: 3:31:32 lr: 2.4250007197214487e-05 loss: 0.0552 (0.0615) loss_seg: 0.0548 (0.0611) loss_lansim: 0.0357 (0.0365) loss_contra: 0.0004 (0.0032) time: 2.6618 data: 0.0050 max mem: 31630 Epoch: [22] [ 530/5278] eta: 3:31:08 lr: 2.424769724495016e-05 loss: 0.0546 (0.0614) loss_seg: 0.0542 (0.0610) loss_lansim: 0.0355 (0.0365) loss_contra: 0.0004 (0.0032) time: 2.6654 data: 0.0050 max mem: 31630 Epoch: [22] [ 540/5278] eta: 3:30:44 lr: 2.4245387268234786e-05 loss: 0.0557 (0.0615) loss_seg: 0.0554 (0.0611) loss_lansim: 0.0353 (0.0365) loss_contra: 0.0006 (0.0033) time: 2.6712 data: 0.0051 max mem: 31630 Epoch: [22] [ 550/5278] eta: 3:30:22 lr: 2.424307726706551e-05 loss: 0.0546 (0.0613) loss_seg: 0.0542 (0.0609) loss_lansim: 0.0353 (0.0365) loss_contra: 0.0007 (0.0033) time: 2.6810 data: 0.0051 max mem: 31630 Epoch: [22] [ 560/5278] eta: 3:29:55 lr: 2.4240767241439484e-05 loss: 0.0555 (0.0614) loss_seg: 0.0551 (0.0610) loss_lansim: 0.0353 (0.0365) loss_contra: 0.0008 (0.0034) time: 2.6873 data: 0.0051 max mem: 31630 Epoch: [22] [ 570/5278] eta: 3:29:34 lr: 2.4238457191353858e-05 loss: 0.0555 (0.0613) loss_seg: 0.0551 (0.0609) loss_lansim: 0.0349 (0.0364) loss_contra: 0.0007 (0.0034) time: 2.6966 data: 0.0051 max mem: 31630 Epoch: [22] [ 580/5278] eta: 3:29:07 lr: 2.4236147116805784e-05 loss: 0.0570 (0.0616) loss_seg: 0.0566 (0.0612) loss_lansim: 0.0349 (0.0364) loss_contra: 0.0007 (0.0034) time: 2.6936 data: 0.0051 max mem: 31630 Epoch: [22] [ 590/5278] eta: 3:28:42 lr: 2.4233837017792414e-05 loss: 0.0561 (0.0616) loss_seg: 0.0556 (0.0612) loss_lansim: 0.0349 (0.0364) loss_contra: 0.0008 (0.0034) time: 2.6954 data: 0.0051 max mem: 31630 Epoch: [22] [ 600/5278] eta: 3:28:18 lr: 2.42315268943109e-05 loss: 0.0570 (0.0616) loss_seg: 0.0567 (0.0612) loss_lansim: 0.0346 (0.0363) loss_contra: 0.0007 (0.0033) time: 2.6962 data: 0.0051 max mem: 31630 Epoch: [22] [ 610/5278] eta: 3:27:51 lr: 2.422921674635838e-05 loss: 0.0571 (0.0615) loss_seg: 0.0567 (0.0611) loss_lansim: 0.0345 (0.0363) loss_contra: 0.0008 (0.0033) time: 2.6935 data: 0.0051 max mem: 31630 Epoch: [22] [ 620/5278] eta: 3:27:23 lr: 2.4226906573932008e-05 loss: 0.0558 (0.0617) loss_seg: 0.0554 (0.0613) loss_lansim: 0.0345 (0.0363) loss_contra: 0.0012 (0.0033) time: 2.6923 data: 0.0051 max mem: 31630 Epoch: [22] [ 630/5278] eta: 3:26:58 lr: 2.4224596377028938e-05 loss: 0.0571 (0.0617) loss_seg: 0.0567 (0.0613) loss_lansim: 0.0347 (0.0363) loss_contra: 0.0008 (0.0032) time: 2.6904 data: 0.0051 max mem: 31630 Epoch: [22] [ 640/5278] eta: 3:26:33 lr: 2.422228615564631e-05 loss: 0.0555 (0.0616) loss_seg: 0.0551 (0.0612) loss_lansim: 0.0348 (0.0363) loss_contra: 0.0008 (0.0032) time: 2.6905 data: 0.0051 max mem: 31630 Epoch: [22] [ 650/5278] eta: 3:26:08 lr: 2.4219975909781277e-05 loss: 0.0571 (0.0616) loss_seg: 0.0566 (0.0612) loss_lansim: 0.0350 (0.0364) loss_contra: 0.0007 (0.0033) time: 2.6870 data: 0.0051 max mem: 31630 Epoch: [22] [ 660/5278] eta: 3:25:39 lr: 2.4217665639430974e-05 loss: 0.0558 (0.0615) loss_seg: 0.0554 (0.0611) loss_lansim: 0.0350 (0.0363) loss_contra: 0.0006 (0.0033) time: 2.6851 data: 0.0051 max mem: 31630 Epoch: [22] [ 670/5278] eta: 3:25:15 lr: 2.421535534459255e-05 loss: 0.0559 (0.0614) loss_seg: 0.0555 (0.0610) loss_lansim: 0.0350 (0.0363) loss_contra: 0.0005 (0.0032) time: 2.6835 data: 0.0051 max mem: 31630 Epoch: [22] [ 680/5278] eta: 3:24:49 lr: 2.4213045025263157e-05 loss: 0.0539 (0.0611) loss_seg: 0.0533 (0.0607) loss_lansim: 0.0357 (0.0363) loss_contra: 0.0005 (0.0032) time: 2.6841 data: 0.0051 max mem: 31630 Epoch: [22] [ 690/5278] eta: 3:24:25 lr: 2.4210734681439935e-05 loss: 0.0535 (0.0610) loss_seg: 0.0532 (0.0606) loss_lansim: 0.0357 (0.0363) loss_contra: 0.0005 (0.0033) time: 2.6869 data: 0.0051 max mem: 31630 Epoch: [22] [ 700/5278] eta: 3:24:00 lr: 2.420842431312002e-05 loss: 0.0526 (0.0611) loss_seg: 0.0523 (0.0608) loss_lansim: 0.0363 (0.0364) loss_contra: 0.0005 (0.0032) time: 2.6865 data: 0.0051 max mem: 31630 Epoch: [22] [ 710/5278] eta: 3:23:35 lr: 2.4206113920300563e-05 loss: 0.0522 (0.0610) loss_seg: 0.0518 (0.0606) loss_lansim: 0.0370 (0.0364) loss_contra: 0.0004 (0.0032) time: 2.6880 data: 0.0051 max mem: 31630 Epoch: [22] [ 720/5278] eta: 3:23:10 lr: 2.42038035029787e-05 loss: 0.0522 (0.0609) loss_seg: 0.0518 (0.0605) loss_lansim: 0.0377 (0.0365) loss_contra: 0.0004 (0.0032) time: 2.6933 data: 0.0051 max mem: 31630 Epoch: [22] [ 730/5278] eta: 3:22:42 lr: 2.4201493061151584e-05 loss: 0.0526 (0.0613) loss_seg: 0.0523 (0.0609) loss_lansim: 0.0381 (0.0366) loss_contra: 0.0004 (0.0032) time: 2.6903 data: 0.0051 max mem: 31630 Epoch: [22] [ 740/5278] eta: 3:22:18 lr: 2.419918259481634e-05 loss: 0.0533 (0.0614) loss_seg: 0.0530 (0.0610) loss_lansim: 0.0381 (0.0366) loss_contra: 0.0004 (0.0032) time: 2.6921 data: 0.0051 max mem: 31630 Epoch: [22] [ 750/5278] eta: 3:21:51 lr: 2.4196872103970115e-05 loss: 0.0533 (0.0616) loss_seg: 0.0530 (0.0612) loss_lansim: 0.0379 (0.0366) loss_contra: 0.0004 (0.0032) time: 2.6909 data: 0.0051 max mem: 31630 Epoch: [22] [ 760/5278] eta: 3:21:24 lr: 2.419456158861005e-05 loss: 0.0535 (0.0618) loss_seg: 0.0532 (0.0614) loss_lansim: 0.0381 (0.0366) loss_contra: 0.0004 (0.0032) time: 2.6928 data: 0.0051 max mem: 31630 Epoch: [22] [ 770/5278] eta: 3:20:56 lr: 2.4192251048733283e-05 loss: 0.0564 (0.0621) loss_seg: 0.0559 (0.0617) loss_lansim: 0.0385 (0.0366) loss_contra: 0.0005 (0.0033) time: 2.6854 data: 0.0051 max mem: 31630 Epoch: [22] [ 780/5278] eta: 3:20:29 lr: 2.418994048433695e-05 loss: 0.0621 (0.0621) loss_seg: 0.0617 (0.0617) loss_lansim: 0.0385 (0.0366) loss_contra: 0.0006 (0.0032) time: 2.6855 data: 0.0051 max mem: 31630 Epoch: [22] [ 790/5278] eta: 3:20:00 lr: 2.4187629895418188e-05 loss: 0.0623 (0.0621) loss_seg: 0.0618 (0.0617) loss_lansim: 0.0386 (0.0367) loss_contra: 0.0005 (0.0033) time: 2.6771 data: 0.0051 max mem: 31630 Epoch: [22] [ 800/5278] eta: 3:19:32 lr: 2.4185319281974136e-05 loss: 0.0621 (0.0620) loss_seg: 0.0617 (0.0616) loss_lansim: 0.0386 (0.0367) loss_contra: 0.0006 (0.0033) time: 2.6725 data: 0.0051 max mem: 31630 Epoch: [22] [ 810/5278] eta: 3:19:04 lr: 2.4183008644001935e-05 loss: 0.0623 (0.0621) loss_seg: 0.0618 (0.0617) loss_lansim: 0.0386 (0.0368) loss_contra: 0.0006 (0.0033) time: 2.6674 data: 0.0051 max mem: 31630 Epoch: [22] [ 820/5278] eta: 3:18:37 lr: 2.418069798149871e-05 loss: 0.0629 (0.0620) loss_seg: 0.0625 (0.0616) loss_lansim: 0.0385 (0.0368) loss_contra: 0.0006 (0.0033) time: 2.6641 data: 0.0051 max mem: 31630 Epoch: [22] [ 830/5278] eta: 3:18:09 lr: 2.4178387294461602e-05 loss: 0.0621 (0.0620) loss_seg: 0.0617 (0.0616) loss_lansim: 0.0385 (0.0368) loss_contra: 0.0007 (0.0033) time: 2.6634 data: 0.0051 max mem: 31630 Epoch: [22] [ 840/5278] eta: 3:17:43 lr: 2.4176076582887744e-05 loss: 0.0601 (0.0620) loss_seg: 0.0595 (0.0616) loss_lansim: 0.0390 (0.0369) loss_contra: 0.0008 (0.0033) time: 2.6611 data: 0.0052 max mem: 31630 Epoch: [22] [ 850/5278] eta: 3:17:17 lr: 2.4173765846774277e-05 loss: 0.0593 (0.0618) loss_seg: 0.0588 (0.0614) loss_lansim: 0.0390 (0.0369) loss_contra: 0.0008 (0.0032) time: 2.6611 data: 0.0052 max mem: 31630 Epoch: [22] [ 860/5278] eta: 3:16:50 lr: 2.4171455086118318e-05 loss: 0.0578 (0.0618) loss_seg: 0.0574 (0.0614) loss_lansim: 0.0396 (0.0369) loss_contra: 0.0008 (0.0032) time: 2.6626 data: 0.0052 max mem: 31630 Epoch: [22] [ 870/5278] eta: 3:16:23 lr: 2.4169144300917012e-05 loss: 0.0560 (0.0617) loss_seg: 0.0555 (0.0613) loss_lansim: 0.0396 (0.0370) loss_contra: 0.0007 (0.0032) time: 2.6647 data: 0.0052 max mem: 31630 Epoch: [22] [ 880/5278] eta: 3:15:56 lr: 2.4166833491167488e-05 loss: 0.0560 (0.0619) loss_seg: 0.0555 (0.0615) loss_lansim: 0.0397 (0.0370) loss_contra: 0.0006 (0.0032) time: 2.6623 data: 0.0052 max mem: 31630 Epoch: [22] [ 890/5278] eta: 3:15:29 lr: 2.4164522656866873e-05 loss: 0.0570 (0.0619) loss_seg: 0.0564 (0.0615) loss_lansim: 0.0397 (0.0370) loss_contra: 0.0005 (0.0032) time: 2.6668 data: 0.0052 max mem: 31630 Epoch: [22] [ 900/5278] eta: 3:15:01 lr: 2.416221179801231e-05 loss: 0.0570 (0.0618) loss_seg: 0.0564 (0.0614) loss_lansim: 0.0398 (0.0370) loss_contra: 0.0005 (0.0033) time: 2.6662 data: 0.0052 max mem: 31630 Epoch: [22] [ 910/5278] eta: 3:14:33 lr: 2.415990091460091e-05 loss: 0.0567 (0.0618) loss_seg: 0.0563 (0.0614) loss_lansim: 0.0396 (0.0370) loss_contra: 0.0005 (0.0033) time: 2.6657 data: 0.0052 max mem: 31630 Epoch: [22] [ 920/5278] eta: 3:14:05 lr: 2.415759000662981e-05 loss: 0.0578 (0.0620) loss_seg: 0.0574 (0.0616) loss_lansim: 0.0396 (0.0371) loss_contra: 0.0005 (0.0033) time: 2.6634 data: 0.0052 max mem: 31630 Epoch: [22] [ 930/5278] eta: 3:13:37 lr: 2.4155279074096147e-05 loss: 0.0567 (0.0622) loss_seg: 0.0563 (0.0618) loss_lansim: 0.0391 (0.0371) loss_contra: 0.0004 (0.0033) time: 2.6627 data: 0.0052 max mem: 31630 Epoch: [22] [ 940/5278] eta: 3:13:09 lr: 2.4152968116997042e-05 loss: 0.0567 (0.0622) loss_seg: 0.0563 (0.0618) loss_lansim: 0.0389 (0.0372) loss_contra: 0.0004 (0.0033) time: 2.6595 data: 0.0052 max mem: 31630 Epoch: [22] [ 950/5278] eta: 3:12:43 lr: 2.4150657135329622e-05 loss: 0.0583 (0.0623) loss_seg: 0.0579 (0.0619) loss_lansim: 0.0390 (0.0372) loss_contra: 0.0006 (0.0033) time: 2.6592 data: 0.0052 max mem: 31630 Epoch: [22] [ 960/5278] eta: 3:12:16 lr: 2.414834612909101e-05 loss: 0.0586 (0.0622) loss_seg: 0.0582 (0.0618) loss_lansim: 0.0388 (0.0373) loss_contra: 0.0004 (0.0032) time: 2.6564 data: 0.0051 max mem: 31630 Epoch: [22] [ 970/5278] eta: 3:11:48 lr: 2.4146035098278337e-05 loss: 0.0586 (0.0621) loss_seg: 0.0582 (0.0617) loss_lansim: 0.0391 (0.0373) loss_contra: 0.0004 (0.0032) time: 2.6544 data: 0.0051 max mem: 31630 Epoch: [22] [ 980/5278] eta: 3:11:20 lr: 2.414372404288873e-05 loss: 0.0583 (0.0621) loss_seg: 0.0579 (0.0617) loss_lansim: 0.0393 (0.0373) loss_contra: 0.0003 (0.0032) time: 2.6539 data: 0.0051 max mem: 31630 Epoch: [22] [ 990/5278] eta: 3:10:52 lr: 2.4141412962919308e-05 loss: 0.0586 (0.0622) loss_seg: 0.0582 (0.0618) loss_lansim: 0.0398 (0.0374) loss_contra: 0.0006 (0.0032) time: 2.6514 data: 0.0051 max mem: 31630 Epoch: [22] [1000/5278] eta: 3:10:24 lr: 2.4139101858367197e-05 loss: 0.0586 (0.0622) loss_seg: 0.0582 (0.0618) loss_lansim: 0.0398 (0.0374) loss_contra: 0.0006 (0.0032) time: 2.6489 data: 0.0052 max mem: 31630 Epoch: [22] [1010/5278] eta: 3:09:57 lr: 2.413679072922952e-05 loss: 0.0573 (0.0621) loss_seg: 0.0569 (0.0617) loss_lansim: 0.0404 (0.0375) loss_contra: 0.0005 (0.0033) time: 2.6525 data: 0.0052 max mem: 31630 Epoch: [22] [1020/5278] eta: 3:09:28 lr: 2.4134479575503407e-05 loss: 0.0573 (0.0622) loss_seg: 0.0569 (0.0618) loss_lansim: 0.0401 (0.0375) loss_contra: 0.0004 (0.0033) time: 2.6499 data: 0.0052 max mem: 31630 Epoch: [22] [1030/5278] eta: 3:09:02 lr: 2.4132168397185968e-05 loss: 0.0575 (0.0624) loss_seg: 0.0571 (0.0620) loss_lansim: 0.0394 (0.0375) loss_contra: 0.0005 (0.0032) time: 2.6530 data: 0.0052 max mem: 31630 Epoch: [22] [1040/5278] eta: 3:08:35 lr: 2.4129857194274335e-05 loss: 0.0586 (0.0626) loss_seg: 0.0582 (0.0622) loss_lansim: 0.0391 (0.0375) loss_contra: 0.0005 (0.0032) time: 2.6537 data: 0.0052 max mem: 31630 Epoch: [22] [1050/5278] eta: 3:08:09 lr: 2.412754596676562e-05 loss: 0.0575 (0.0625) loss_seg: 0.0571 (0.0621) loss_lansim: 0.0390 (0.0375) loss_contra: 0.0005 (0.0032) time: 2.6553 data: 0.0052 max mem: 31630 Epoch: [22] [1060/5278] eta: 3:07:41 lr: 2.4125234714656955e-05 loss: 0.0576 (0.0626) loss_seg: 0.0572 (0.0622) loss_lansim: 0.0389 (0.0375) loss_contra: 0.0007 (0.0032) time: 2.6538 data: 0.0052 max mem: 31630 Epoch: [22] [1070/5278] eta: 3:07:15 lr: 2.4122923437945445e-05 loss: 0.0597 (0.0627) loss_seg: 0.0591 (0.0623) loss_lansim: 0.0383 (0.0375) loss_contra: 0.0007 (0.0032) time: 2.6566 data: 0.0052 max mem: 31630 Epoch: [22] [1080/5278] eta: 3:06:48 lr: 2.4120612136628214e-05 loss: 0.0612 (0.0628) loss_seg: 0.0607 (0.0624) loss_lansim: 0.0379 (0.0375) loss_contra: 0.0008 (0.0033) time: 2.6584 data: 0.0052 max mem: 31630 Epoch: [22] [1090/5278] eta: 3:06:21 lr: 2.4118300810702385e-05 loss: 0.0612 (0.0627) loss_seg: 0.0607 (0.0623) loss_lansim: 0.0373 (0.0375) loss_contra: 0.0007 (0.0033) time: 2.6591 data: 0.0052 max mem: 31630 Epoch: [22] [1100/5278] eta: 3:05:54 lr: 2.411598946016508e-05 loss: 0.0622 (0.0627) loss_seg: 0.0619 (0.0623) loss_lansim: 0.0370 (0.0375) loss_contra: 0.0007 (0.0033) time: 2.6634 data: 0.0052 max mem: 31630 Epoch: [22] [1110/5278] eta: 3:05:26 lr: 2.41136780850134e-05 loss: 0.0633 (0.0627) loss_seg: 0.0630 (0.0623) loss_lansim: 0.0369 (0.0375) loss_contra: 0.0008 (0.0033) time: 2.6613 data: 0.0052 max mem: 31630 Epoch: [22] [1120/5278] eta: 3:05:01 lr: 2.411136668524447e-05 loss: 0.0618 (0.0628) loss_seg: 0.0612 (0.0623) loss_lansim: 0.0369 (0.0375) loss_contra: 0.0008 (0.0033) time: 2.6683 data: 0.0052 max mem: 31630 Epoch: [22] [1130/5278] eta: 3:04:35 lr: 2.4109055260855407e-05 loss: 0.0614 (0.0627) loss_seg: 0.0610 (0.0623) loss_lansim: 0.0370 (0.0376) loss_contra: 0.0007 (0.0033) time: 2.6694 data: 0.0052 max mem: 31630 Epoch: [22] [1140/5278] eta: 3:04:08 lr: 2.410674381184332e-05 loss: 0.0608 (0.0627) loss_seg: 0.0602 (0.0623) loss_lansim: 0.0372 (0.0376) loss_contra: 0.0007 (0.0033) time: 2.6706 data: 0.0052 max mem: 31630 Epoch: [22] [1150/5278] eta: 3:03:41 lr: 2.4104432338205338e-05 loss: 0.0597 (0.0626) loss_seg: 0.0591 (0.0622) loss_lansim: 0.0369 (0.0376) loss_contra: 0.0007 (0.0032) time: 2.6668 data: 0.0052 max mem: 31630 Epoch: [22] [1160/5278] eta: 3:03:14 lr: 2.4102120839938557e-05 loss: 0.0567 (0.0625) loss_seg: 0.0564 (0.0621) loss_lansim: 0.0366 (0.0376) loss_contra: 0.0006 (0.0032) time: 2.6691 data: 0.0052 max mem: 31630 Epoch: [22] [1170/5278] eta: 3:02:47 lr: 2.40998093170401e-05 loss: 0.0553 (0.0624) loss_seg: 0.0549 (0.0620) loss_lansim: 0.0378 (0.0376) loss_contra: 0.0004 (0.0032) time: 2.6686 data: 0.0052 max mem: 31630 Epoch: [22] [1180/5278] eta: 3:02:19 lr: 2.4097497769507077e-05 loss: 0.0554 (0.0624) loss_seg: 0.0550 (0.0620) loss_lansim: 0.0376 (0.0376) loss_contra: 0.0004 (0.0032) time: 2.6657 data: 0.0052 max mem: 31630 Epoch: [22] [1190/5278] eta: 3:01:53 lr: 2.4095186197336604e-05 loss: 0.0544 (0.0623) loss_seg: 0.0541 (0.0619) loss_lansim: 0.0381 (0.0376) loss_contra: 0.0004 (0.0032) time: 2.6665 data: 0.0052 max mem: 31630 Epoch: [22] [1200/5278] eta: 3:01:26 lr: 2.4092874600525783e-05 loss: 0.0537 (0.0623) loss_seg: 0.0532 (0.0619) loss_lansim: 0.0378 (0.0376) loss_contra: 0.0003 (0.0032) time: 2.6676 data: 0.0052 max mem: 31630 Epoch: [22] [1210/5278] eta: 3:01:01 lr: 2.4090562979071728e-05 loss: 0.0533 (0.0623) loss_seg: 0.0529 (0.0619) loss_lansim: 0.0380 (0.0376) loss_contra: 0.0003 (0.0032) time: 2.6750 data: 0.0052 max mem: 31630 Epoch: [22] [1220/5278] eta: 3:00:34 lr: 2.4088251332971552e-05 loss: 0.0531 (0.0623) loss_seg: 0.0526 (0.0619) loss_lansim: 0.0379 (0.0376) loss_contra: 0.0002 (0.0032) time: 2.6697 data: 0.0052 max mem: 31630 Epoch: [22] [1230/5278] eta: 3:00:08 lr: 2.408593966222237e-05 loss: 0.0526 (0.0622) loss_seg: 0.0522 (0.0618) loss_lansim: 0.0376 (0.0376) loss_contra: 0.0002 (0.0032) time: 2.6700 data: 0.0052 max mem: 31630 Epoch: [22] [1240/5278] eta: 2:59:40 lr: 2.4083627966821273e-05 loss: 0.0529 (0.0622) loss_seg: 0.0524 (0.0618) loss_lansim: 0.0376 (0.0376) loss_contra: 0.0003 (0.0033) time: 2.6674 data: 0.0052 max mem: 31630 Epoch: [22] [1250/5278] eta: 2:59:13 lr: 2.408131624676538e-05 loss: 0.0537 (0.0621) loss_seg: 0.0533 (0.0617) loss_lansim: 0.0381 (0.0377) loss_contra: 0.0003 (0.0032) time: 2.6681 data: 0.0052 max mem: 31630 Epoch: [22] [1260/5278] eta: 2:58:46 lr: 2.40790045020518e-05 loss: 0.0538 (0.0621) loss_seg: 0.0535 (0.0617) loss_lansim: 0.0385 (0.0377) loss_contra: 0.0003 (0.0033) time: 2.6679 data: 0.0052 max mem: 31630 Epoch: [22] [1270/5278] eta: 2:58:19 lr: 2.4076692732677642e-05 loss: 0.0554 (0.0623) loss_seg: 0.0550 (0.0619) loss_lansim: 0.0385 (0.0377) loss_contra: 0.0004 (0.0034) time: 2.6668 data: 0.0052 max mem: 31630 Epoch: [22] [1280/5278] eta: 2:57:52 lr: 2.4074380938639997e-05 loss: 0.0551 (0.0623) loss_seg: 0.0543 (0.0619) loss_lansim: 0.0385 (0.0377) loss_contra: 0.0004 (0.0034) time: 2.6687 data: 0.0052 max mem: 31630 Epoch: [22] [1290/5278] eta: 2:57:26 lr: 2.4072069119935987e-05 loss: 0.0573 (0.0623) loss_seg: 0.0568 (0.0619) loss_lansim: 0.0385 (0.0377) loss_contra: 0.0004 (0.0034) time: 2.6711 data: 0.0052 max mem: 31630 Epoch: [22] [1300/5278] eta: 2:57:00 lr: 2.4069757276562705e-05 loss: 0.0573 (0.0623) loss_seg: 0.0568 (0.0619) loss_lansim: 0.0388 (0.0378) loss_contra: 0.0005 (0.0034) time: 2.6708 data: 0.0052 max mem: 31630 Epoch: [22] [1310/5278] eta: 2:56:32 lr: 2.4067445408517264e-05 loss: 0.0581 (0.0623) loss_seg: 0.0577 (0.0618) loss_lansim: 0.0388 (0.0378) loss_contra: 0.0006 (0.0034) time: 2.6630 data: 0.0052 max mem: 31630 Epoch: [22] [1320/5278] eta: 2:56:06 lr: 2.4065133515796757e-05 loss: 0.0572 (0.0622) loss_seg: 0.0567 (0.0618) loss_lansim: 0.0389 (0.0378) loss_contra: 0.0006 (0.0034) time: 2.6676 data: 0.0053 max mem: 31630 Epoch: [22] [1330/5278] eta: 2:55:41 lr: 2.40628215983983e-05 loss: 0.0572 (0.0622) loss_seg: 0.0567 (0.0618) loss_lansim: 0.0385 (0.0378) loss_contra: 0.0006 (0.0034) time: 2.6698 data: 0.0054 max mem: 31630 Epoch: [22] [1340/5278] eta: 2:55:15 lr: 2.4060509656318982e-05 loss: 0.0572 (0.0622) loss_seg: 0.0567 (0.0618) loss_lansim: 0.0391 (0.0378) loss_contra: 0.0008 (0.0034) time: 2.6741 data: 0.0054 max mem: 31630 Epoch: [22] [1350/5278] eta: 2:54:48 lr: 2.4058197689555917e-05 loss: 0.0572 (0.0622) loss_seg: 0.0567 (0.0618) loss_lansim: 0.0391 (0.0378) loss_contra: 0.0007 (0.0034) time: 2.6753 data: 0.0055 max mem: 31630 Epoch: [22] [1360/5278] eta: 2:54:21 lr: 2.405588569810619e-05 loss: 0.0572 (0.0623) loss_seg: 0.0567 (0.0619) loss_lansim: 0.0385 (0.0378) loss_contra: 0.0007 (0.0034) time: 2.6761 data: 0.0055 max mem: 31630 Epoch: [22] [1370/5278] eta: 2:53:56 lr: 2.4053573681966916e-05 loss: 0.0556 (0.0623) loss_seg: 0.0551 (0.0619) loss_lansim: 0.0380 (0.0378) loss_contra: 0.0007 (0.0034) time: 2.6818 data: 0.0055 max mem: 31630 Epoch: [22] [1380/5278] eta: 2:53:29 lr: 2.405126164113519e-05 loss: 0.0544 (0.0622) loss_seg: 0.0540 (0.0618) loss_lansim: 0.0379 (0.0378) loss_contra: 0.0006 (0.0034) time: 2.6827 data: 0.0055 max mem: 31630 Epoch: [22] [1390/5278] eta: 2:53:02 lr: 2.4048949575608104e-05 loss: 0.0537 (0.0622) loss_seg: 0.0533 (0.0618) loss_lansim: 0.0377 (0.0378) loss_contra: 0.0006 (0.0034) time: 2.6808 data: 0.0056 max mem: 31630 Epoch: [22] [1400/5278] eta: 2:52:36 lr: 2.404663748538277e-05 loss: 0.0537 (0.0622) loss_seg: 0.0533 (0.0618) loss_lansim: 0.0377 (0.0378) loss_contra: 0.0005 (0.0034) time: 2.6825 data: 0.0056 max mem: 31630 Epoch: [22] [1410/5278] eta: 2:52:10 lr: 2.4044325370456268e-05 loss: 0.0545 (0.0622) loss_seg: 0.0541 (0.0618) loss_lansim: 0.0378 (0.0378) loss_contra: 0.0005 (0.0035) time: 2.6859 data: 0.0056 max mem: 31630 Epoch: [22] [1420/5278] eta: 2:51:44 lr: 2.4042013230825707e-05 loss: 0.0562 (0.0623) loss_seg: 0.0558 (0.0618) loss_lansim: 0.0378 (0.0378) loss_contra: 0.0006 (0.0035) time: 2.6874 data: 0.0055 max mem: 31630 Epoch: [22] [1430/5278] eta: 2:51:17 lr: 2.403970106648818e-05 loss: 0.0564 (0.0623) loss_seg: 0.0561 (0.0619) loss_lansim: 0.0383 (0.0378) loss_contra: 0.0006 (0.0035) time: 2.6814 data: 0.0055 max mem: 31630 Epoch: [22] [1440/5278] eta: 2:50:50 lr: 2.4037388877440785e-05 loss: 0.0570 (0.0623) loss_seg: 0.0567 (0.0619) loss_lansim: 0.0378 (0.0378) loss_contra: 0.0006 (0.0035) time: 2.6802 data: 0.0055 max mem: 31630 Epoch: [22] [1450/5278] eta: 2:50:24 lr: 2.4035076663680615e-05 loss: 0.0563 (0.0623) loss_seg: 0.0559 (0.0619) loss_lansim: 0.0374 (0.0378) loss_contra: 0.0006 (0.0035) time: 2.6798 data: 0.0055 max mem: 31630 Epoch: [22] [1460/5278] eta: 2:49:57 lr: 2.403276442520476e-05 loss: 0.0562 (0.0623) loss_seg: 0.0558 (0.0619) loss_lansim: 0.0370 (0.0378) loss_contra: 0.0006 (0.0035) time: 2.6807 data: 0.0055 max mem: 31630 Epoch: [22] [1470/5278] eta: 2:49:29 lr: 2.4030452162010316e-05 loss: 0.0570 (0.0625) loss_seg: 0.0567 (0.0620) loss_lansim: 0.0373 (0.0378) loss_contra: 0.0006 (0.0035) time: 2.6735 data: 0.0055 max mem: 31630 Epoch: [22] [1480/5278] eta: 2:49:03 lr: 2.4028139874094384e-05 loss: 0.0581 (0.0625) loss_seg: 0.0577 (0.0620) loss_lansim: 0.0373 (0.0378) loss_contra: 0.0007 (0.0035) time: 2.6765 data: 0.0055 max mem: 31630 Epoch: [22] [1490/5278] eta: 2:48:36 lr: 2.4025827561454048e-05 loss: 0.0575 (0.0624) loss_seg: 0.0571 (0.0620) loss_lansim: 0.0371 (0.0378) loss_contra: 0.0008 (0.0035) time: 2.6744 data: 0.0055 max mem: 31630 Epoch: [22] [1500/5278] eta: 2:48:10 lr: 2.4023515224086397e-05 loss: 0.0575 (0.0624) loss_seg: 0.0571 (0.0620) loss_lansim: 0.0371 (0.0378) loss_contra: 0.0009 (0.0034) time: 2.6726 data: 0.0055 max mem: 31630 Epoch: [22] [1510/5278] eta: 2:47:43 lr: 2.4021202861988525e-05 loss: 0.0562 (0.0624) loss_seg: 0.0558 (0.0620) loss_lansim: 0.0370 (0.0378) loss_contra: 0.0008 (0.0037) time: 2.6717 data: 0.0055 max mem: 31630 Epoch: [22] [1520/5278] eta: 2:47:17 lr: 2.4018890475157532e-05 loss: 0.0559 (0.0624) loss_seg: 0.0555 (0.0620) loss_lansim: 0.0370 (0.0378) loss_contra: 0.0008 (0.0037) time: 2.6727 data: 0.0054 max mem: 31630 Epoch: [22] [1530/5278] eta: 2:46:50 lr: 2.4016578063590493e-05 loss: 0.0559 (0.0624) loss_seg: 0.0555 (0.0620) loss_lansim: 0.0368 (0.0378) loss_contra: 0.0008 (0.0037) time: 2.6724 data: 0.0054 max mem: 31630 Epoch: [22] [1540/5278] eta: 2:46:24 lr: 2.4014265627284505e-05 loss: 0.0559 (0.0624) loss_seg: 0.0555 (0.0619) loss_lansim: 0.0364 (0.0378) loss_contra: 0.0007 (0.0036) time: 2.6733 data: 0.0054 max mem: 31630 Epoch: [22] [1550/5278] eta: 2:45:57 lr: 2.4011953166236655e-05 loss: 0.0559 (0.0623) loss_seg: 0.0555 (0.0619) loss_lansim: 0.0369 (0.0378) loss_contra: 0.0007 (0.0037) time: 2.6719 data: 0.0053 max mem: 31630 Epoch: [22] [1560/5278] eta: 2:45:30 lr: 2.400964068044403e-05 loss: 0.0552 (0.0624) loss_seg: 0.0549 (0.0620) loss_lansim: 0.0372 (0.0378) loss_contra: 0.0007 (0.0037) time: 2.6719 data: 0.0053 max mem: 31630 Epoch: [22] [1570/5278] eta: 2:45:04 lr: 2.4007328169903716e-05 loss: 0.0552 (0.0625) loss_seg: 0.0549 (0.0621) loss_lansim: 0.0368 (0.0378) loss_contra: 0.0007 (0.0037) time: 2.6769 data: 0.0054 max mem: 31630 Epoch: [22] [1580/5278] eta: 2:44:38 lr: 2.40050156346128e-05 loss: 0.0550 (0.0625) loss_seg: 0.0545 (0.0621) loss_lansim: 0.0366 (0.0377) loss_contra: 0.0008 (0.0037) time: 2.6774 data: 0.0053 max mem: 31630 Epoch: [22] [1590/5278] eta: 2:44:11 lr: 2.400270307456837e-05 loss: 0.0564 (0.0625) loss_seg: 0.0560 (0.0621) loss_lansim: 0.0369 (0.0377) loss_contra: 0.0007 (0.0038) time: 2.6801 data: 0.0053 max mem: 31630 Epoch: [22] [1600/5278] eta: 2:43:44 lr: 2.4000390489767516e-05 loss: 0.0564 (0.0624) loss_seg: 0.0561 (0.0620) loss_lansim: 0.0360 (0.0377) loss_contra: 0.0009 (0.0037) time: 2.6782 data: 0.0053 max mem: 31630 Epoch: [22] [1610/5278] eta: 2:43:18 lr: 2.3998077880207308e-05 loss: 0.0567 (0.0625) loss_seg: 0.0563 (0.0621) loss_lansim: 0.0361 (0.0377) loss_contra: 0.0009 (0.0037) time: 2.6798 data: 0.0053 max mem: 31630 Epoch: [22] [1620/5278] eta: 2:42:51 lr: 2.399576524588484e-05 loss: 0.0564 (0.0624) loss_seg: 0.0560 (0.0620) loss_lansim: 0.0360 (0.0377) loss_contra: 0.0008 (0.0037) time: 2.6748 data: 0.0053 max mem: 31630 Epoch: [22] [1630/5278] eta: 2:42:24 lr: 2.399345258679719e-05 loss: 0.0564 (0.0624) loss_seg: 0.0560 (0.0620) loss_lansim: 0.0359 (0.0377) loss_contra: 0.0007 (0.0037) time: 2.6772 data: 0.0053 max mem: 31630 Epoch: [22] [1640/5278] eta: 2:41:58 lr: 2.3991139902941446e-05 loss: 0.0567 (0.0626) loss_seg: 0.0563 (0.0622) loss_lansim: 0.0359 (0.0377) loss_contra: 0.0009 (0.0038) time: 2.6752 data: 0.0053 max mem: 31630 Epoch: [22] [1650/5278] eta: 2:41:31 lr: 2.3988827194314695e-05 loss: 0.0579 (0.0627) loss_seg: 0.0575 (0.0622) loss_lansim: 0.0352 (0.0377) loss_contra: 0.0008 (0.0038) time: 2.6754 data: 0.0053 max mem: 31630 Epoch: [22] [1660/5278] eta: 2:41:04 lr: 2.3986514460914e-05 loss: 0.0564 (0.0626) loss_seg: 0.0561 (0.0622) loss_lansim: 0.0359 (0.0377) loss_contra: 0.0006 (0.0037) time: 2.6746 data: 0.0053 max mem: 31630 Epoch: [22] [1670/5278] eta: 2:40:37 lr: 2.3984201702736456e-05 loss: 0.0527 (0.0626) loss_seg: 0.0523 (0.0621) loss_lansim: 0.0366 (0.0377) loss_contra: 0.0006 (0.0038) time: 2.6722 data: 0.0053 max mem: 31630 Epoch: [22] [1680/5278] eta: 2:40:10 lr: 2.3981888919779137e-05 loss: 0.0527 (0.0625) loss_seg: 0.0523 (0.0621) loss_lansim: 0.0364 (0.0377) loss_contra: 0.0004 (0.0038) time: 2.6683 data: 0.0053 max mem: 31630 Epoch: [22] [1690/5278] eta: 2:39:44 lr: 2.397957611203913e-05 loss: 0.0527 (0.0625) loss_seg: 0.0523 (0.0620) loss_lansim: 0.0364 (0.0377) loss_contra: 0.0004 (0.0037) time: 2.6695 data: 0.0053 max mem: 31630 Epoch: [22] [1700/5278] eta: 2:39:18 lr: 2.3977263279513497e-05 loss: 0.0524 (0.0624) loss_seg: 0.0520 (0.0620) loss_lansim: 0.0366 (0.0377) loss_contra: 0.0005 (0.0038) time: 2.6758 data: 0.0053 max mem: 31630 Epoch: [22] [1710/5278] eta: 2:38:51 lr: 2.3974950422199334e-05 loss: 0.0517 (0.0624) loss_seg: 0.0513 (0.0620) loss_lansim: 0.0366 (0.0377) loss_contra: 0.0006 (0.0037) time: 2.6740 data: 0.0054 max mem: 31630 Epoch: [22] [1720/5278] eta: 2:38:25 lr: 2.3972637540093706e-05 loss: 0.0527 (0.0624) loss_seg: 0.0523 (0.0620) loss_lansim: 0.0362 (0.0377) loss_contra: 0.0005 (0.0037) time: 2.6756 data: 0.0054 max mem: 31630 Epoch: [22] [1730/5278] eta: 2:37:58 lr: 2.3970324633193702e-05 loss: 0.0535 (0.0624) loss_seg: 0.0531 (0.0620) loss_lansim: 0.0364 (0.0377) loss_contra: 0.0004 (0.0038) time: 2.6757 data: 0.0054 max mem: 31630 Epoch: [22] [1740/5278] eta: 2:37:32 lr: 2.396801170149638e-05 loss: 0.0527 (0.0624) loss_seg: 0.0523 (0.0619) loss_lansim: 0.0364 (0.0377) loss_contra: 0.0004 (0.0037) time: 2.6780 data: 0.0054 max mem: 31630 Epoch: [22] [1750/5278] eta: 2:37:05 lr: 2.396569874499883e-05 loss: 0.0527 (0.0625) loss_seg: 0.0523 (0.0621) loss_lansim: 0.0370 (0.0377) loss_contra: 0.0004 (0.0037) time: 2.6788 data: 0.0055 max mem: 31630 Epoch: [22] [1760/5278] eta: 2:36:39 lr: 2.3963385763698123e-05 loss: 0.0536 (0.0625) loss_seg: 0.0533 (0.0621) loss_lansim: 0.0367 (0.0377) loss_contra: 0.0004 (0.0037) time: 2.6815 data: 0.0055 max mem: 31630 Epoch: [22] [1770/5278] eta: 2:36:12 lr: 2.3961072757591337e-05 loss: 0.0556 (0.0626) loss_seg: 0.0553 (0.0622) loss_lansim: 0.0363 (0.0377) loss_contra: 0.0004 (0.0037) time: 2.6810 data: 0.0055 max mem: 31630 Epoch: [22] [1780/5278] eta: 2:35:45 lr: 2.395875972667553e-05 loss: 0.0562 (0.0627) loss_seg: 0.0558 (0.0623) loss_lansim: 0.0364 (0.0376) loss_contra: 0.0004 (0.0037) time: 2.6796 data: 0.0055 max mem: 31630 Epoch: [22] [1790/5278] eta: 2:35:19 lr: 2.3956446670947787e-05 loss: 0.0562 (0.0627) loss_seg: 0.0558 (0.0623) loss_lansim: 0.0360 (0.0376) loss_contra: 0.0004 (0.0038) time: 2.6821 data: 0.0056 max mem: 31630 Epoch: [22] [1800/5278] eta: 2:34:53 lr: 2.3954133590405178e-05 loss: 0.0585 (0.0628) loss_seg: 0.0582 (0.0624) loss_lansim: 0.0362 (0.0376) loss_contra: 0.0004 (0.0038) time: 2.6800 data: 0.0056 max mem: 31630 Epoch: [22] [1810/5278] eta: 2:34:26 lr: 2.395182048504478e-05 loss: 0.0571 (0.0628) loss_seg: 0.0567 (0.0623) loss_lansim: 0.0361 (0.0376) loss_contra: 0.0004 (0.0038) time: 2.6819 data: 0.0057 max mem: 31630 Epoch: [22] [1820/5278] eta: 2:34:00 lr: 2.394950735486365e-05 loss: 0.0607 (0.0628) loss_seg: 0.0603 (0.0624) loss_lansim: 0.0371 (0.0376) loss_contra: 0.0006 (0.0038) time: 2.6849 data: 0.0056 max mem: 31630 Epoch: [22] [1830/5278] eta: 2:33:33 lr: 2.3947194199858868e-05 loss: 0.0613 (0.0628) loss_seg: 0.0610 (0.0624) loss_lansim: 0.0364 (0.0376) loss_contra: 0.0006 (0.0038) time: 2.6818 data: 0.0056 max mem: 31630 Epoch: [22] [1840/5278] eta: 2:33:07 lr: 2.3944881020027497e-05 loss: 0.0638 (0.0628) loss_seg: 0.0633 (0.0624) loss_lansim: 0.0362 (0.0376) loss_contra: 0.0006 (0.0038) time: 2.6834 data: 0.0056 max mem: 31630 Epoch: [22] [1850/5278] eta: 2:32:40 lr: 2.3942567815366614e-05 loss: 0.0648 (0.0630) loss_seg: 0.0644 (0.0626) loss_lansim: 0.0364 (0.0376) loss_contra: 0.0006 (0.0038) time: 2.6807 data: 0.0056 max mem: 31630 Epoch: [22] [1860/5278] eta: 2:32:13 lr: 2.394025458587329e-05 loss: 0.0638 (0.0631) loss_seg: 0.0633 (0.0626) loss_lansim: 0.0370 (0.0376) loss_contra: 0.0006 (0.0038) time: 2.6797 data: 0.0055 max mem: 31630 Epoch: [22] [1870/5278] eta: 2:31:46 lr: 2.393794133154457e-05 loss: 0.0628 (0.0630) loss_seg: 0.0624 (0.0626) loss_lansim: 0.0370 (0.0376) loss_contra: 0.0006 (0.0038) time: 2.6799 data: 0.0055 max mem: 31630 Epoch: [22] [1880/5278] eta: 2:31:20 lr: 2.3935628052377544e-05 loss: 0.0628 (0.0631) loss_seg: 0.0624 (0.0627) loss_lansim: 0.0371 (0.0376) loss_contra: 0.0005 (0.0038) time: 2.6833 data: 0.0056 max mem: 31630 Epoch: [22] [1890/5278] eta: 2:30:53 lr: 2.3933314748369264e-05 loss: 0.0619 (0.0630) loss_seg: 0.0615 (0.0626) loss_lansim: 0.0374 (0.0376) loss_contra: 0.0004 (0.0038) time: 2.6810 data: 0.0055 max mem: 31630 Epoch: [22] [1900/5278] eta: 2:30:27 lr: 2.393100141951681e-05 loss: 0.0617 (0.0631) loss_seg: 0.0613 (0.0626) loss_lansim: 0.0378 (0.0377) loss_contra: 0.0004 (0.0038) time: 2.6785 data: 0.0055 max mem: 31630 Epoch: [22] [1910/5278] eta: 2:30:00 lr: 2.3928688065817232e-05 loss: 0.0619 (0.0631) loss_seg: 0.0615 (0.0627) loss_lansim: 0.0378 (0.0376) loss_contra: 0.0004 (0.0038) time: 2.6755 data: 0.0054 max mem: 31630 Epoch: [22] [1920/5278] eta: 2:29:33 lr: 2.3926374687267596e-05 loss: 0.0592 (0.0631) loss_seg: 0.0588 (0.0627) loss_lansim: 0.0372 (0.0376) loss_contra: 0.0003 (0.0038) time: 2.6705 data: 0.0055 max mem: 31630 Epoch: [22] [1930/5278] eta: 2:29:06 lr: 2.392406128386497e-05 loss: 0.0592 (0.0631) loss_seg: 0.0588 (0.0627) loss_lansim: 0.0375 (0.0376) loss_contra: 0.0004 (0.0038) time: 2.6719 data: 0.0055 max mem: 31630 Epoch: [22] [1940/5278] eta: 2:28:38 lr: 2.3921747855606422e-05 loss: 0.0592 (0.0631) loss_seg: 0.0588 (0.0627) loss_lansim: 0.0378 (0.0376) loss_contra: 0.0003 (0.0038) time: 2.6613 data: 0.0054 max mem: 31630 Epoch: [22] [1950/5278] eta: 2:28:10 lr: 2.3919434402489002e-05 loss: 0.0592 (0.0632) loss_seg: 0.0588 (0.0628) loss_lansim: 0.0372 (0.0376) loss_contra: 0.0003 (0.0037) time: 2.6588 data: 0.0054 max mem: 31630 Epoch: [22] [1960/5278] eta: 2:27:43 lr: 2.3917120924509777e-05 loss: 0.0592 (0.0632) loss_seg: 0.0588 (0.0627) loss_lansim: 0.0372 (0.0376) loss_contra: 0.0003 (0.0037) time: 2.6575 data: 0.0054 max mem: 31630 Epoch: [22] [1970/5278] eta: 2:27:16 lr: 2.3914807421665804e-05 loss: 0.0587 (0.0631) loss_seg: 0.0584 (0.0627) loss_lansim: 0.0369 (0.0376) loss_contra: 0.0003 (0.0037) time: 2.6536 data: 0.0054 max mem: 31630 Epoch: [22] [1980/5278] eta: 2:26:49 lr: 2.3912493893954157e-05 loss: 0.0580 (0.0631) loss_seg: 0.0575 (0.0627) loss_lansim: 0.0369 (0.0376) loss_contra: 0.0003 (0.0037) time: 2.6521 data: 0.0053 max mem: 31630 Epoch: [22] [1990/5278] eta: 2:26:22 lr: 2.3910180341371878e-05 loss: 0.0580 (0.0630) loss_seg: 0.0576 (0.0626) loss_lansim: 0.0369 (0.0376) loss_contra: 0.0004 (0.0037) time: 2.6505 data: 0.0053 max mem: 31630 Epoch: [22] [2000/5278] eta: 2:25:55 lr: 2.3907866763916032e-05 loss: 0.0582 (0.0631) loss_seg: 0.0579 (0.0627) loss_lansim: 0.0366 (0.0377) loss_contra: 0.0004 (0.0037) time: 2.6460 data: 0.0053 max mem: 31630 Epoch: [22] [2010/5278] eta: 2:25:28 lr: 2.3905553161583676e-05 loss: 0.0566 (0.0631) loss_seg: 0.0562 (0.0627) loss_lansim: 0.0369 (0.0377) loss_contra: 0.0004 (0.0037) time: 2.6472 data: 0.0053 max mem: 31630 Epoch: [22] [2020/5278] eta: 2:25:02 lr: 2.3903239534371875e-05 loss: 0.0580 (0.0631) loss_seg: 0.0576 (0.0626) loss_lansim: 0.0375 (0.0377) loss_contra: 0.0004 (0.0037) time: 2.6483 data: 0.0052 max mem: 31630 Epoch: [22] [2030/5278] eta: 2:24:34 lr: 2.390092588227768e-05 loss: 0.0576 (0.0630) loss_seg: 0.0572 (0.0626) loss_lansim: 0.0373 (0.0377) loss_contra: 0.0004 (0.0037) time: 2.6472 data: 0.0053 max mem: 31630 Epoch: [22] [2040/5278] eta: 2:24:08 lr: 2.389861220529814e-05 loss: 0.0556 (0.0630) loss_seg: 0.0553 (0.0626) loss_lansim: 0.0378 (0.0377) loss_contra: 0.0004 (0.0037) time: 2.6553 data: 0.0053 max mem: 31630 Epoch: [22] [2050/5278] eta: 2:23:41 lr: 2.3896298503430324e-05 loss: 0.0539 (0.0630) loss_seg: 0.0535 (0.0626) loss_lansim: 0.0376 (0.0377) loss_contra: 0.0004 (0.0038) time: 2.6568 data: 0.0053 max mem: 31630 Epoch: [22] [2060/5278] eta: 2:23:14 lr: 2.389398477667128e-05 loss: 0.0540 (0.0630) loss_seg: 0.0537 (0.0626) loss_lansim: 0.0373 (0.0377) loss_contra: 0.0004 (0.0037) time: 2.6586 data: 0.0053 max mem: 31630 Epoch: [22] [2070/5278] eta: 2:22:47 lr: 2.3891671025018058e-05 loss: 0.0543 (0.0630) loss_seg: 0.0537 (0.0626) loss_lansim: 0.0378 (0.0377) loss_contra: 0.0004 (0.0037) time: 2.6598 data: 0.0053 max mem: 31630 Epoch: [22] [2080/5278] eta: 2:22:21 lr: 2.3889357248467714e-05 loss: 0.0560 (0.0630) loss_seg: 0.0556 (0.0626) loss_lansim: 0.0381 (0.0377) loss_contra: 0.0005 (0.0038) time: 2.6615 data: 0.0053 max mem: 31630 Epoch: [22] [2090/5278] eta: 2:21:53 lr: 2.3887043447017306e-05 loss: 0.0576 (0.0630) loss_seg: 0.0572 (0.0626) loss_lansim: 0.0376 (0.0377) loss_contra: 0.0005 (0.0038) time: 2.6572 data: 0.0053 max mem: 31630 Epoch: [22] [2100/5278] eta: 2:21:26 lr: 2.3884729620663878e-05 loss: 0.0558 (0.0630) loss_seg: 0.0554 (0.0626) loss_lansim: 0.0377 (0.0377) loss_contra: 0.0004 (0.0038) time: 2.6587 data: 0.0053 max mem: 31630 Epoch: [22] [2110/5278] eta: 2:21:00 lr: 2.3882415769404493e-05 loss: 0.0565 (0.0630) loss_seg: 0.0561 (0.0626) loss_lansim: 0.0378 (0.0377) loss_contra: 0.0003 (0.0037) time: 2.6608 data: 0.0053 max mem: 31630 Epoch: [22] [2120/5278] eta: 2:20:32 lr: 2.388010189323619e-05 loss: 0.0548 (0.0629) loss_seg: 0.0544 (0.0625) loss_lansim: 0.0381 (0.0377) loss_contra: 0.0004 (0.0037) time: 2.6556 data: 0.0053 max mem: 31630 Epoch: [22] [2130/5278] eta: 2:20:06 lr: 2.387778799215602e-05 loss: 0.0556 (0.0630) loss_seg: 0.0550 (0.0625) loss_lansim: 0.0391 (0.0377) loss_contra: 0.0003 (0.0037) time: 2.6615 data: 0.0053 max mem: 31630 Epoch: [22] [2140/5278] eta: 2:19:39 lr: 2.387547406616104e-05 loss: 0.0565 (0.0630) loss_seg: 0.0561 (0.0625) loss_lansim: 0.0392 (0.0378) loss_contra: 0.0004 (0.0037) time: 2.6593 data: 0.0053 max mem: 31630 Epoch: [22] [2150/5278] eta: 2:19:12 lr: 2.3873160115248297e-05 loss: 0.0596 (0.0631) loss_seg: 0.0593 (0.0627) loss_lansim: 0.0398 (0.0379) loss_contra: 0.0004 (0.0037) time: 2.6634 data: 0.0053 max mem: 31630 Epoch: [22] [2160/5278] eta: 2:18:46 lr: 2.387084613941483e-05 loss: 0.0596 (0.0631) loss_seg: 0.0593 (0.0627) loss_lansim: 0.0415 (0.0379) loss_contra: 0.0004 (0.0037) time: 2.6606 data: 0.0053 max mem: 31630 Epoch: [22] [2170/5278] eta: 2:18:19 lr: 2.3868532138657695e-05 loss: 0.0596 (0.0631) loss_seg: 0.0593 (0.0627) loss_lansim: 0.0424 (0.0379) loss_contra: 0.0005 (0.0037) time: 2.6616 data: 0.0054 max mem: 31630 Epoch: [22] [2180/5278] eta: 2:17:52 lr: 2.386621811297394e-05 loss: 0.0608 (0.0632) loss_seg: 0.0604 (0.0628) loss_lansim: 0.0430 (0.0380) loss_contra: 0.0004 (0.0037) time: 2.6638 data: 0.0053 max mem: 31630 Epoch: [22] [2190/5278] eta: 2:17:26 lr: 2.3863904062360607e-05 loss: 0.0597 (0.0631) loss_seg: 0.0594 (0.0627) loss_lansim: 0.0437 (0.0380) loss_contra: 0.0005 (0.0036) time: 2.6682 data: 0.0053 max mem: 31630 Epoch: [22] [2200/5278] eta: 2:17:00 lr: 2.3861589986814738e-05 loss: 0.0597 (0.0631) loss_seg: 0.0594 (0.0627) loss_lansim: 0.0431 (0.0380) loss_contra: 0.0005 (0.0037) time: 2.6743 data: 0.0053 max mem: 31630 Epoch: [22] [2210/5278] eta: 2:16:33 lr: 2.3859275886333384e-05 loss: 0.0536 (0.0630) loss_seg: 0.0531 (0.0626) loss_lansim: 0.0434 (0.0380) loss_contra: 0.0005 (0.0037) time: 2.6725 data: 0.0053 max mem: 31630 Epoch: [22] [2220/5278] eta: 2:16:07 lr: 2.385696176091359e-05 loss: 0.0596 (0.0630) loss_seg: 0.0593 (0.0626) loss_lansim: 0.0445 (0.0380) loss_contra: 0.0005 (0.0037) time: 2.6811 data: 0.0053 max mem: 31630 Epoch: [22] [2230/5278] eta: 2:15:40 lr: 2.3854647610552393e-05 loss: 0.0574 (0.0630) loss_seg: 0.0571 (0.0626) loss_lansim: 0.0431 (0.0380) loss_contra: 0.0005 (0.0037) time: 2.6754 data: 0.0053 max mem: 31630 Epoch: [22] [2240/5278] eta: 2:15:13 lr: 2.385233343524684e-05 loss: 0.0574 (0.0630) loss_seg: 0.0571 (0.0626) loss_lansim: 0.0420 (0.0380) loss_contra: 0.0006 (0.0037) time: 2.6776 data: 0.0053 max mem: 31630 Epoch: [22] [2250/5278] eta: 2:14:46 lr: 2.385001923499397e-05 loss: 0.0544 (0.0630) loss_seg: 0.0539 (0.0625) loss_lansim: 0.0410 (0.0381) loss_contra: 0.0005 (0.0036) time: 2.6747 data: 0.0053 max mem: 31630 Epoch: [22] [2260/5278] eta: 2:14:19 lr: 2.3847705009790826e-05 loss: 0.0569 (0.0630) loss_seg: 0.0566 (0.0626) loss_lansim: 0.0403 (0.0381) loss_contra: 0.0006 (0.0036) time: 2.6770 data: 0.0053 max mem: 31630 Epoch: [22] [2270/5278] eta: 2:13:53 lr: 2.3845390759634458e-05 loss: 0.0590 (0.0630) loss_seg: 0.0586 (0.0626) loss_lansim: 0.0400 (0.0381) loss_contra: 0.0005 (0.0036) time: 2.6808 data: 0.0053 max mem: 31630 Epoch: [22] [2280/5278] eta: 2:13:27 lr: 2.3843076484521887e-05 loss: 0.0574 (0.0632) loss_seg: 0.0571 (0.0627) loss_lansim: 0.0400 (0.0381) loss_contra: 0.0005 (0.0036) time: 2.6818 data: 0.0053 max mem: 31630 Epoch: [22] [2290/5278] eta: 2:13:00 lr: 2.3840762184450162e-05 loss: 0.0600 (0.0632) loss_seg: 0.0595 (0.0627) loss_lansim: 0.0396 (0.0381) loss_contra: 0.0004 (0.0037) time: 2.6804 data: 0.0053 max mem: 31630 Epoch: [22] [2300/5278] eta: 2:12:34 lr: 2.3838447859416326e-05 loss: 0.0603 (0.0632) loss_seg: 0.0598 (0.0628) loss_lansim: 0.0393 (0.0381) loss_contra: 0.0004 (0.0037) time: 2.6788 data: 0.0053 max mem: 31630 Epoch: [22] [2310/5278] eta: 2:12:07 lr: 2.3836133509417416e-05 loss: 0.0614 (0.0632) loss_seg: 0.0605 (0.0628) loss_lansim: 0.0393 (0.0381) loss_contra: 0.0004 (0.0037) time: 2.6805 data: 0.0053 max mem: 31630 Epoch: [22] [2320/5278] eta: 2:11:41 lr: 2.3833819134450462e-05 loss: 0.0626 (0.0633) loss_seg: 0.0621 (0.0628) loss_lansim: 0.0395 (0.0381) loss_contra: 0.0004 (0.0037) time: 2.6790 data: 0.0053 max mem: 31630 Epoch: [22] [2330/5278] eta: 2:11:14 lr: 2.3831504734512502e-05 loss: 0.0614 (0.0632) loss_seg: 0.0605 (0.0628) loss_lansim: 0.0382 (0.0381) loss_contra: 0.0004 (0.0037) time: 2.6833 data: 0.0053 max mem: 31630 Epoch: [22] [2340/5278] eta: 2:10:48 lr: 2.382919030960058e-05 loss: 0.0619 (0.0633) loss_seg: 0.0605 (0.0629) loss_lansim: 0.0381 (0.0381) loss_contra: 0.0004 (0.0037) time: 2.6860 data: 0.0053 max mem: 31630 Epoch: [22] [2350/5278] eta: 2:10:21 lr: 2.3826875859711725e-05 loss: 0.0619 (0.0633) loss_seg: 0.0605 (0.0629) loss_lansim: 0.0381 (0.0381) loss_contra: 0.0004 (0.0037) time: 2.6866 data: 0.0053 max mem: 31630 Epoch: [22] [2360/5278] eta: 2:09:54 lr: 2.3824561384842978e-05 loss: 0.0619 (0.0633) loss_seg: 0.0605 (0.0629) loss_lansim: 0.0385 (0.0381) loss_contra: 0.0004 (0.0037) time: 2.6852 data: 0.0053 max mem: 31630 Epoch: [22] [2370/5278] eta: 2:09:28 lr: 2.3822246884991363e-05 loss: 0.0598 (0.0633) loss_seg: 0.0595 (0.0628) loss_lansim: 0.0388 (0.0381) loss_contra: 0.0006 (0.0037) time: 2.6863 data: 0.0053 max mem: 31630 Epoch: [22] [2380/5278] eta: 2:09:02 lr: 2.381993236015392e-05 loss: 0.0593 (0.0633) loss_seg: 0.0580 (0.0628) loss_lansim: 0.0382 (0.0381) loss_contra: 0.0006 (0.0037) time: 2.6870 data: 0.0053 max mem: 31630 Epoch: [22] [2390/5278] eta: 2:08:35 lr: 2.3817617810327676e-05 loss: 0.0593 (0.0632) loss_seg: 0.0580 (0.0628) loss_lansim: 0.0382 (0.0381) loss_contra: 0.0005 (0.0037) time: 2.6873 data: 0.0053 max mem: 31630 Epoch: [22] [2400/5278] eta: 2:08:09 lr: 2.3815303235509675e-05 loss: 0.0593 (0.0632) loss_seg: 0.0580 (0.0628) loss_lansim: 0.0381 (0.0381) loss_contra: 0.0006 (0.0037) time: 2.6884 data: 0.0053 max mem: 31630 Epoch: [22] [2410/5278] eta: 2:07:42 lr: 2.3812988635696934e-05 loss: 0.0598 (0.0632) loss_seg: 0.0595 (0.0628) loss_lansim: 0.0379 (0.0381) loss_contra: 0.0006 (0.0037) time: 2.6868 data: 0.0053 max mem: 31630 Epoch: [22] [2420/5278] eta: 2:07:16 lr: 2.3810674010886492e-05 loss: 0.0567 (0.0632) loss_seg: 0.0564 (0.0628) loss_lansim: 0.0378 (0.0381) loss_contra: 0.0006 (0.0037) time: 2.6903 data: 0.0053 max mem: 31630 Epoch: [22] [2430/5278] eta: 2:06:49 lr: 2.3808359361075375e-05 loss: 0.0567 (0.0632) loss_seg: 0.0564 (0.0628) loss_lansim: 0.0381 (0.0381) loss_contra: 0.0007 (0.0037) time: 2.6902 data: 0.0053 max mem: 31630 Epoch: [22] [2440/5278] eta: 2:06:23 lr: 2.380604468626062e-05 loss: 0.0567 (0.0632) loss_seg: 0.0564 (0.0628) loss_lansim: 0.0379 (0.0381) loss_contra: 0.0008 (0.0037) time: 2.6903 data: 0.0053 max mem: 31630 Epoch: [22] [2450/5278] eta: 2:05:56 lr: 2.3803729986439242e-05 loss: 0.0552 (0.0631) loss_seg: 0.0549 (0.0627) loss_lansim: 0.0375 (0.0381) loss_contra: 0.0006 (0.0037) time: 2.6924 data: 0.0053 max mem: 31630 Epoch: [22] [2460/5278] eta: 2:05:30 lr: 2.380141526160828e-05 loss: 0.0561 (0.0632) loss_seg: 0.0557 (0.0627) loss_lansim: 0.0373 (0.0381) loss_contra: 0.0008 (0.0038) time: 2.6991 data: 0.0053 max mem: 31630 Epoch: [22] [2470/5278] eta: 2:05:03 lr: 2.3799100511764758e-05 loss: 0.0561 (0.0631) loss_seg: 0.0557 (0.0627) loss_lansim: 0.0371 (0.0381) loss_contra: 0.0007 (0.0038) time: 2.6953 data: 0.0053 max mem: 31630 Epoch: [22] [2480/5278] eta: 2:04:37 lr: 2.379678573690571e-05 loss: 0.0535 (0.0631) loss_seg: 0.0530 (0.0627) loss_lansim: 0.0370 (0.0381) loss_contra: 0.0009 (0.0038) time: 2.6957 data: 0.0053 max mem: 31630 Epoch: [22] [2490/5278] eta: 2:04:11 lr: 2.3794470937028143e-05 loss: 0.0528 (0.0631) loss_seg: 0.0524 (0.0627) loss_lansim: 0.0369 (0.0381) loss_contra: 0.0012 (0.0038) time: 2.6986 data: 0.0053 max mem: 31630 Epoch: [22] [2500/5278] eta: 2:03:45 lr: 2.37921561121291e-05 loss: 0.0552 (0.0631) loss_seg: 0.0547 (0.0627) loss_lansim: 0.0374 (0.0381) loss_contra: 0.0011 (0.0038) time: 2.7013 data: 0.0053 max mem: 31630 Epoch: [22] [2510/5278] eta: 2:03:18 lr: 2.3789841262205594e-05 loss: 0.0561 (0.0631) loss_seg: 0.0557 (0.0627) loss_lansim: 0.0387 (0.0382) loss_contra: 0.0010 (0.0038) time: 2.7051 data: 0.0053 max mem: 31630 Epoch: [22] [2520/5278] eta: 2:02:52 lr: 2.3787526387254664e-05 loss: 0.0569 (0.0631) loss_seg: 0.0565 (0.0627) loss_lansim: 0.0392 (0.0382) loss_contra: 0.0010 (0.0038) time: 2.7009 data: 0.0053 max mem: 31630 Epoch: [22] [2530/5278] eta: 2:02:26 lr: 2.3785211487273315e-05 loss: 0.0569 (0.0631) loss_seg: 0.0565 (0.0627) loss_lansim: 0.0397 (0.0382) loss_contra: 0.0009 (0.0038) time: 2.7038 data: 0.0053 max mem: 31630 Epoch: [22] [2540/5278] eta: 2:01:59 lr: 2.3782896562258578e-05 loss: 0.0557 (0.0631) loss_seg: 0.0553 (0.0627) loss_lansim: 0.0401 (0.0383) loss_contra: 0.0010 (0.0038) time: 2.7001 data: 0.0053 max mem: 31630 Epoch: [22] [2550/5278] eta: 2:01:32 lr: 2.3780581612207474e-05 loss: 0.0557 (0.0631) loss_seg: 0.0553 (0.0627) loss_lansim: 0.0412 (0.0383) loss_contra: 0.0012 (0.0039) time: 2.7004 data: 0.0053 max mem: 31630 Epoch: [22] [2560/5278] eta: 2:01:05 lr: 2.3778266637117034e-05 loss: 0.0557 (0.0631) loss_seg: 0.0553 (0.0626) loss_lansim: 0.0439 (0.0384) loss_contra: 0.0013 (0.0042) time: 2.6925 data: 0.0053 max mem: 31630 Epoch: [22] [2570/5278] eta: 2:00:38 lr: 2.377595163698426e-05 loss: 0.0562 (0.0631) loss_seg: 0.0557 (0.0627) loss_lansim: 0.0466 (0.0385) loss_contra: 0.0019 (0.0043) time: 2.6922 data: 0.0053 max mem: 31630 Epoch: [22] [2580/5278] eta: 2:00:11 lr: 2.3773636611806183e-05 loss: 0.0569 (0.0631) loss_seg: 0.0563 (0.0627) loss_lansim: 0.0491 (0.0386) loss_contra: 0.0019 (0.0043) time: 2.6854 data: 0.0053 max mem: 31630 Epoch: [22] [2590/5278] eta: 1:59:44 lr: 2.3771321561579816e-05 loss: 0.0576 (0.0632) loss_seg: 0.0569 (0.0628) loss_lansim: 0.0517 (0.0386) loss_contra: 0.0022 (0.0044) time: 2.6800 data: 0.0053 max mem: 31630 Epoch: [22] [2600/5278] eta: 1:59:18 lr: 2.376900648630219e-05 loss: 0.0573 (0.0632) loss_seg: 0.0565 (0.0628) loss_lansim: 0.0530 (0.0387) loss_contra: 0.0029 (0.0044) time: 2.6740 data: 0.0053 max mem: 31630 Epoch: [22] [2610/5278] eta: 1:58:51 lr: 2.3766691385970315e-05 loss: 0.0573 (0.0632) loss_seg: 0.0564 (0.0628) loss_lansim: 0.0546 (0.0387) loss_contra: 0.0035 (0.0044) time: 2.6678 data: 0.0053 max mem: 31630 Epoch: [22] [2620/5278] eta: 1:58:24 lr: 2.3764376260581202e-05 loss: 0.0589 (0.0632) loss_seg: 0.0583 (0.0628) loss_lansim: 0.0546 (0.0388) loss_contra: 0.0033 (0.0044) time: 2.6670 data: 0.0053 max mem: 31630 Epoch: [22] [2630/5278] eta: 1:57:57 lr: 2.3762061110131875e-05 loss: 0.0589 (0.0633) loss_seg: 0.0583 (0.0628) loss_lansim: 0.0549 (0.0388) loss_contra: 0.0035 (0.0044) time: 2.6633 data: 0.0053 max mem: 31630 Epoch: [22] [2640/5278] eta: 1:57:30 lr: 2.3759745934619344e-05 loss: 0.0589 (0.0632) loss_seg: 0.0583 (0.0628) loss_lansim: 0.0549 (0.0389) loss_contra: 0.0036 (0.0044) time: 2.6632 data: 0.0053 max mem: 31630 Epoch: [22] [2650/5278] eta: 1:57:04 lr: 2.375743073404064e-05 loss: 0.0612 (0.0633) loss_seg: 0.0605 (0.0629) loss_lansim: 0.0546 (0.0390) loss_contra: 0.0035 (0.0044) time: 2.6633 data: 0.0053 max mem: 31630 Epoch: [22] [2660/5278] eta: 1:56:37 lr: 2.3755115508392756e-05 loss: 0.0591 (0.0633) loss_seg: 0.0585 (0.0628) loss_lansim: 0.0546 (0.0390) loss_contra: 0.0027 (0.0044) time: 2.6639 data: 0.0053 max mem: 31630 Epoch: [22] [2670/5278] eta: 1:56:10 lr: 2.3752800257672712e-05 loss: 0.0591 (0.0633) loss_seg: 0.0585 (0.0629) loss_lansim: 0.0546 (0.0391) loss_contra: 0.0022 (0.0045) time: 2.6681 data: 0.0054 max mem: 31630 Epoch: [22] [2680/5278] eta: 1:55:44 lr: 2.375048498187753e-05 loss: 0.0602 (0.0633) loss_seg: 0.0593 (0.0629) loss_lansim: 0.0547 (0.0392) loss_contra: 0.0017 (0.0045) time: 2.6702 data: 0.0054 max mem: 31630 Epoch: [22] [2690/5278] eta: 1:55:17 lr: 2.374816968100422e-05 loss: 0.0591 (0.0633) loss_seg: 0.0585 (0.0628) loss_lansim: 0.0546 (0.0392) loss_contra: 0.0017 (0.0045) time: 2.6735 data: 0.0054 max mem: 31630 Epoch: [22] [2700/5278] eta: 1:54:51 lr: 2.3745854355049784e-05 loss: 0.0589 (0.0633) loss_seg: 0.0583 (0.0629) loss_lansim: 0.0536 (0.0393) loss_contra: 0.0014 (0.0045) time: 2.6774 data: 0.0054 max mem: 31630 Epoch: [22] [2710/5278] eta: 1:54:24 lr: 2.374353900401124e-05 loss: 0.0571 (0.0633) loss_seg: 0.0565 (0.0628) loss_lansim: 0.0526 (0.0393) loss_contra: 0.0013 (0.0046) time: 2.6782 data: 0.0054 max mem: 31630 Epoch: [22] [2720/5278] eta: 1:53:57 lr: 2.3741223627885593e-05 loss: 0.0566 (0.0633) loss_seg: 0.0558 (0.0628) loss_lansim: 0.0529 (0.0394) loss_contra: 0.0013 (0.0046) time: 2.6790 data: 0.0054 max mem: 31630 Epoch: [22] [2730/5278] eta: 1:53:30 lr: 2.3738908226669868e-05 loss: 0.0566 (0.0633) loss_seg: 0.0560 (0.0628) loss_lansim: 0.0531 (0.0394) loss_contra: 0.0013 (0.0046) time: 2.6783 data: 0.0054 max mem: 31630 Epoch: [22] [2740/5278] eta: 1:53:04 lr: 2.3736592800361056e-05 loss: 0.0569 (0.0633) loss_seg: 0.0564 (0.0629) loss_lansim: 0.0526 (0.0394) loss_contra: 0.0011 (0.0046) time: 2.6816 data: 0.0054 max mem: 31630 Epoch: [22] [2750/5278] eta: 1:52:37 lr: 2.3734277348956173e-05 loss: 0.0558 (0.0633) loss_seg: 0.0552 (0.0628) loss_lansim: 0.0519 (0.0395) loss_contra: 0.0010 (0.0046) time: 2.6836 data: 0.0054 max mem: 31630 Epoch: [22] [2760/5278] eta: 1:52:11 lr: 2.3731961872452226e-05 loss: 0.0566 (0.0633) loss_seg: 0.0560 (0.0628) loss_lansim: 0.0516 (0.0395) loss_contra: 0.0011 (0.0046) time: 2.6859 data: 0.0054 max mem: 31630 Epoch: [22] [2770/5278] eta: 1:51:45 lr: 2.3729646370846223e-05 loss: 0.0566 (0.0633) loss_seg: 0.0558 (0.0628) loss_lansim: 0.0492 (0.0395) loss_contra: 0.0011 (0.0046) time: 2.6907 data: 0.0054 max mem: 31630 Epoch: [22] [2780/5278] eta: 1:51:18 lr: 2.3727330844135167e-05 loss: 0.0563 (0.0633) loss_seg: 0.0558 (0.0629) loss_lansim: 0.0475 (0.0395) loss_contra: 0.0011 (0.0046) time: 2.6908 data: 0.0053 max mem: 31630 Epoch: [22] [2790/5278] eta: 1:50:52 lr: 2.3725015292316066e-05 loss: 0.0560 (0.0633) loss_seg: 0.0556 (0.0629) loss_lansim: 0.0465 (0.0395) loss_contra: 0.0011 (0.0047) time: 2.6952 data: 0.0053 max mem: 31630 Epoch: [22] [2800/5278] eta: 1:50:25 lr: 2.3722699715385924e-05 loss: 0.0561 (0.0633) loss_seg: 0.0557 (0.0629) loss_lansim: 0.0462 (0.0396) loss_contra: 0.0011 (0.0047) time: 2.6950 data: 0.0053 max mem: 31630 Epoch: [22] [2810/5278] eta: 1:49:59 lr: 2.372038411334175e-05 loss: 0.0560 (0.0633) loss_seg: 0.0556 (0.0628) loss_lansim: 0.0453 (0.0396) loss_contra: 0.0011 (0.0047) time: 2.7063 data: 0.0053 max mem: 31630 Epoch: [22] [2820/5278] eta: 1:49:33 lr: 2.371806848618054e-05 loss: 0.0567 (0.0633) loss_seg: 0.0561 (0.0629) loss_lansim: 0.0449 (0.0396) loss_contra: 0.0011 (0.0046) time: 2.7071 data: 0.0053 max mem: 31630 Epoch: [22] [2830/5278] eta: 1:49:06 lr: 2.3715752833899298e-05 loss: 0.0561 (0.0633) loss_seg: 0.0557 (0.0629) loss_lansim: 0.0444 (0.0396) loss_contra: 0.0010 (0.0046) time: 2.7105 data: 0.0052 max mem: 31630 Epoch: [22] [2840/5278] eta: 1:48:40 lr: 2.371343715649503e-05 loss: 0.0561 (0.0633) loss_seg: 0.0557 (0.0629) loss_lansim: 0.0443 (0.0396) loss_contra: 0.0011 (0.0046) time: 2.7118 data: 0.0052 max mem: 31630 Epoch: [22] [2850/5278] eta: 1:48:13 lr: 2.3711121453964735e-05 loss: 0.0567 (0.0633) loss_seg: 0.0562 (0.0628) loss_lansim: 0.0441 (0.0396) loss_contra: 0.0011 (0.0046) time: 2.7092 data: 0.0051 max mem: 31630 Epoch: [22] [2860/5278] eta: 1:47:47 lr: 2.370880572630542e-05 loss: 0.0576 (0.0633) loss_seg: 0.0571 (0.0628) loss_lansim: 0.0435 (0.0396) loss_contra: 0.0011 (0.0046) time: 2.7148 data: 0.0051 max mem: 31630 Epoch: [22] [2870/5278] eta: 1:47:21 lr: 2.3706489973514073e-05 loss: 0.0561 (0.0632) loss_seg: 0.0557 (0.0628) loss_lansim: 0.0432 (0.0396) loss_contra: 0.0011 (0.0047) time: 2.7133 data: 0.0051 max mem: 31630 Epoch: [22] [2880/5278] eta: 1:46:55 lr: 2.37041741955877e-05 loss: 0.0576 (0.0633) loss_seg: 0.0572 (0.0628) loss_lansim: 0.0433 (0.0397) loss_contra: 0.0011 (0.0047) time: 2.7224 data: 0.0051 max mem: 31630 Epoch: [22] [2890/5278] eta: 1:46:28 lr: 2.37018583925233e-05 loss: 0.0584 (0.0633) loss_seg: 0.0580 (0.0629) loss_lansim: 0.0434 (0.0397) loss_contra: 0.0011 (0.0047) time: 2.7223 data: 0.0051 max mem: 31630 Epoch: [22] [2900/5278] eta: 1:46:02 lr: 2.3699542564317877e-05 loss: 0.0584 (0.0633) loss_seg: 0.0579 (0.0629) loss_lansim: 0.0434 (0.0397) loss_contra: 0.0011 (0.0047) time: 2.7274 data: 0.0051 max mem: 31630 Epoch: [22] [2910/5278] eta: 1:45:36 lr: 2.3697226710968412e-05 loss: 0.0598 (0.0633) loss_seg: 0.0594 (0.0628) loss_lansim: 0.0434 (0.0397) loss_contra: 0.0010 (0.0047) time: 2.7216 data: 0.0051 max mem: 31630 Epoch: [22] [2920/5278] eta: 1:45:10 lr: 2.369491083247192e-05 loss: 0.0584 (0.0633) loss_seg: 0.0579 (0.0628) loss_lansim: 0.0434 (0.0397) loss_contra: 0.0011 (0.0047) time: 2.7267 data: 0.0051 max mem: 31630 Epoch: [22] [2930/5278] eta: 1:44:43 lr: 2.369259492882538e-05 loss: 0.0584 (0.0632) loss_seg: 0.0580 (0.0628) loss_lansim: 0.0433 (0.0397) loss_contra: 0.0013 (0.0047) time: 2.7272 data: 0.0050 max mem: 31630 Epoch: [22] [2940/5278] eta: 1:44:17 lr: 2.3690279000025806e-05 loss: 0.0572 (0.0632) loss_seg: 0.0566 (0.0627) loss_lansim: 0.0434 (0.0397) loss_contra: 0.0013 (0.0048) time: 2.7300 data: 0.0051 max mem: 31630 Epoch: [22] [2950/5278] eta: 1:43:50 lr: 2.3687963046070176e-05 loss: 0.0594 (0.0632) loss_seg: 0.0590 (0.0628) loss_lansim: 0.0425 (0.0397) loss_contra: 0.0013 (0.0048) time: 2.7319 data: 0.0051 max mem: 31630 Epoch: [22] [2960/5278] eta: 1:43:24 lr: 2.368564706695549e-05 loss: 0.0594 (0.0633) loss_seg: 0.0589 (0.0628) loss_lansim: 0.0421 (0.0397) loss_contra: 0.0013 (0.0048) time: 2.7263 data: 0.0051 max mem: 31630 Epoch: [22] [2970/5278] eta: 1:42:57 lr: 2.368333106267874e-05 loss: 0.0596 (0.0633) loss_seg: 0.0591 (0.0628) loss_lansim: 0.0418 (0.0397) loss_contra: 0.0011 (0.0048) time: 2.7180 data: 0.0051 max mem: 31630 Epoch: [22] [2980/5278] eta: 1:42:30 lr: 2.368101503323693e-05 loss: 0.0593 (0.0633) loss_seg: 0.0589 (0.0628) loss_lansim: 0.0408 (0.0397) loss_contra: 0.0011 (0.0048) time: 2.7057 data: 0.0052 max mem: 31630 Epoch: [22] [2990/5278] eta: 1:42:03 lr: 2.3678698978627033e-05 loss: 0.0596 (0.0633) loss_seg: 0.0591 (0.0628) loss_lansim: 0.0403 (0.0397) loss_contra: 0.0011 (0.0048) time: 2.6988 data: 0.0052 max mem: 31630 Epoch: [22] [3000/5278] eta: 1:41:36 lr: 2.367638289884605e-05 loss: 0.0596 (0.0633) loss_seg: 0.0591 (0.0628) loss_lansim: 0.0395 (0.0397) loss_contra: 0.0013 (0.0048) time: 2.6887 data: 0.0053 max mem: 31630 Epoch: [22] [3010/5278] eta: 1:41:09 lr: 2.3674066793890972e-05 loss: 0.0594 (0.0633) loss_seg: 0.0589 (0.0628) loss_lansim: 0.0389 (0.0397) loss_contra: 0.0015 (0.0048) time: 2.6818 data: 0.0053 max mem: 31630 Epoch: [22] [3020/5278] eta: 1:40:42 lr: 2.3671750663758795e-05 loss: 0.0596 (0.0633) loss_seg: 0.0591 (0.0628) loss_lansim: 0.0386 (0.0397) loss_contra: 0.0013 (0.0048) time: 2.6724 data: 0.0054 max mem: 31630 Epoch: [22] [3030/5278] eta: 1:40:15 lr: 2.3669434508446492e-05 loss: 0.0594 (0.0633) loss_seg: 0.0589 (0.0628) loss_lansim: 0.0380 (0.0397) loss_contra: 0.0011 (0.0049) time: 2.6643 data: 0.0054 max mem: 31630 Epoch: [22] [3040/5278] eta: 1:39:48 lr: 2.366711832795106e-05 loss: 0.0614 (0.0633) loss_seg: 0.0610 (0.0628) loss_lansim: 0.0384 (0.0397) loss_contra: 0.0010 (0.0049) time: 2.6528 data: 0.0055 max mem: 31630 Epoch: [22] [3050/5278] eta: 1:39:20 lr: 2.366480212226949e-05 loss: 0.0601 (0.0633) loss_seg: 0.0596 (0.0628) loss_lansim: 0.0378 (0.0397) loss_contra: 0.0007 (0.0048) time: 2.6472 data: 0.0055 max mem: 31630 Epoch: [22] [3060/5278] eta: 1:38:53 lr: 2.366248589139877e-05 loss: 0.0598 (0.0633) loss_seg: 0.0593 (0.0628) loss_lansim: 0.0379 (0.0397) loss_contra: 0.0007 (0.0049) time: 2.6418 data: 0.0055 max mem: 31630 Epoch: [22] [3070/5278] eta: 1:38:26 lr: 2.3660169635335876e-05 loss: 0.0601 (0.0634) loss_seg: 0.0596 (0.0630) loss_lansim: 0.0384 (0.0397) loss_contra: 0.0007 (0.0049) time: 2.6408 data: 0.0055 max mem: 31630 Epoch: [22] [3080/5278] eta: 1:37:59 lr: 2.36578533540778e-05 loss: 0.0601 (0.0634) loss_seg: 0.0596 (0.0630) loss_lansim: 0.0392 (0.0397) loss_contra: 0.0008 (0.0049) time: 2.6392 data: 0.0055 max mem: 31630 Epoch: [22] [3090/5278] eta: 1:37:32 lr: 2.3655537047621526e-05 loss: 0.0586 (0.0634) loss_seg: 0.0582 (0.0630) loss_lansim: 0.0404 (0.0397) loss_contra: 0.0007 (0.0049) time: 2.6377 data: 0.0055 max mem: 31630 Epoch: [22] [3100/5278] eta: 1:37:06 lr: 2.3653220715964042e-05 loss: 0.0573 (0.0634) loss_seg: 0.0568 (0.0630) loss_lansim: 0.0407 (0.0398) loss_contra: 0.0007 (0.0049) time: 2.6407 data: 0.0055 max mem: 31630 Epoch: [22] [3110/5278] eta: 1:36:39 lr: 2.3650904359102334e-05 loss: 0.0580 (0.0634) loss_seg: 0.0576 (0.0630) loss_lansim: 0.0411 (0.0398) loss_contra: 0.0006 (0.0050) time: 2.6461 data: 0.0055 max mem: 31630 Epoch: [22] [3120/5278] eta: 1:36:13 lr: 2.3648587977033372e-05 loss: 0.0586 (0.0634) loss_seg: 0.0577 (0.0630) loss_lansim: 0.0424 (0.0398) loss_contra: 0.0006 (0.0051) time: 2.6525 data: 0.0055 max mem: 31630 Epoch: [22] [3130/5278] eta: 1:35:46 lr: 2.3646271569754145e-05 loss: 0.0605 (0.0634) loss_seg: 0.0600 (0.0630) loss_lansim: 0.0434 (0.0398) loss_contra: 0.0008 (0.0051) time: 2.6605 data: 0.0055 max mem: 31630 Epoch: [22] [3140/5278] eta: 1:35:19 lr: 2.364395513726164e-05 loss: 0.0602 (0.0634) loss_seg: 0.0597 (0.0630) loss_lansim: 0.0436 (0.0398) loss_contra: 0.0010 (0.0052) time: 2.6658 data: 0.0055 max mem: 31630 Epoch: [22] [3150/5278] eta: 1:34:53 lr: 2.3641638679552837e-05 loss: 0.0605 (0.0635) loss_seg: 0.0600 (0.0630) loss_lansim: 0.0437 (0.0398) loss_contra: 0.0010 (0.0052) time: 2.6747 data: 0.0055 max mem: 31630 Epoch: [22] [3160/5278] eta: 1:34:26 lr: 2.363932219662471e-05 loss: 0.0606 (0.0635) loss_seg: 0.0601 (0.0630) loss_lansim: 0.0437 (0.0398) loss_contra: 0.0010 (0.0052) time: 2.6807 data: 0.0055 max mem: 31630 Epoch: [22] [3170/5278] eta: 1:34:00 lr: 2.3637005688474235e-05 loss: 0.0605 (0.0635) loss_seg: 0.0600 (0.0630) loss_lansim: 0.0437 (0.0398) loss_contra: 0.0010 (0.0052) time: 2.6877 data: 0.0055 max mem: 31630 Epoch: [22] [3180/5278] eta: 1:33:33 lr: 2.3634689155098403e-05 loss: 0.0602 (0.0635) loss_seg: 0.0597 (0.0630) loss_lansim: 0.0434 (0.0398) loss_contra: 0.0008 (0.0052) time: 2.6935 data: 0.0055 max mem: 31630 Epoch: [22] [3190/5278] eta: 1:33:06 lr: 2.363237259649419e-05 loss: 0.0605 (0.0635) loss_seg: 0.0600 (0.0630) loss_lansim: 0.0424 (0.0398) loss_contra: 0.0011 (0.0052) time: 2.6990 data: 0.0055 max mem: 31630 Epoch: [22] [3200/5278] eta: 1:32:40 lr: 2.363005601265856e-05 loss: 0.0615 (0.0635) loss_seg: 0.0609 (0.0630) loss_lansim: 0.0422 (0.0398) loss_contra: 0.0012 (0.0052) time: 2.7023 data: 0.0054 max mem: 31630 Epoch: [22] [3210/5278] eta: 1:32:13 lr: 2.3627739403588503e-05 loss: 0.0640 (0.0636) loss_seg: 0.0635 (0.0631) loss_lansim: 0.0419 (0.0398) loss_contra: 0.0015 (0.0052) time: 2.6995 data: 0.0054 max mem: 31630 Epoch: [22] [3220/5278] eta: 1:31:46 lr: 2.362542276928099e-05 loss: 0.0635 (0.0636) loss_seg: 0.0629 (0.0631) loss_lansim: 0.0410 (0.0398) loss_contra: 0.0013 (0.0053) time: 2.6955 data: 0.0054 max mem: 31630 Epoch: [22] [3230/5278] eta: 1:31:20 lr: 2.3623106109733004e-05 loss: 0.0614 (0.0636) loss_seg: 0.0609 (0.0631) loss_lansim: 0.0406 (0.0398) loss_contra: 0.0013 (0.0054) time: 2.6943 data: 0.0054 max mem: 31630 Epoch: [22] [3240/5278] eta: 1:30:53 lr: 2.3620789424941504e-05 loss: 0.0620 (0.0636) loss_seg: 0.0615 (0.0631) loss_lansim: 0.0402 (0.0398) loss_contra: 0.0012 (0.0054) time: 2.6949 data: 0.0054 max mem: 31630 Epoch: [22] [3250/5278] eta: 1:30:27 lr: 2.361847271490348e-05 loss: 0.0633 (0.0636) loss_seg: 0.0626 (0.0631) loss_lansim: 0.0398 (0.0398) loss_contra: 0.0012 (0.0054) time: 2.6983 data: 0.0054 max mem: 31630 Epoch: [22] [3260/5278] eta: 1:30:00 lr: 2.3616155979615894e-05 loss: 0.0604 (0.0636) loss_seg: 0.0592 (0.0631) loss_lansim: 0.0400 (0.0398) loss_contra: 0.0012 (0.0054) time: 2.6979 data: 0.0053 max mem: 31630 Epoch: [22] [3270/5278] eta: 1:29:33 lr: 2.3613839219075725e-05 loss: 0.0588 (0.0635) loss_seg: 0.0582 (0.0631) loss_lansim: 0.0398 (0.0398) loss_contra: 0.0010 (0.0053) time: 2.6977 data: 0.0053 max mem: 31630 Epoch: [22] [3280/5278] eta: 1:29:07 lr: 2.3611522433279944e-05 loss: 0.0599 (0.0635) loss_seg: 0.0592 (0.0631) loss_lansim: 0.0396 (0.0398) loss_contra: 0.0014 (0.0053) time: 2.6971 data: 0.0054 max mem: 31630 Epoch: [22] [3290/5278] eta: 1:28:40 lr: 2.3609205622225515e-05 loss: 0.0586 (0.0635) loss_seg: 0.0580 (0.0630) loss_lansim: 0.0394 (0.0398) loss_contra: 0.0015 (0.0054) time: 2.6975 data: 0.0055 max mem: 31630 Epoch: [22] [3300/5278] eta: 1:28:13 lr: 2.3606888785909416e-05 loss: 0.0585 (0.0635) loss_seg: 0.0577 (0.0630) loss_lansim: 0.0386 (0.0398) loss_contra: 0.0011 (0.0054) time: 2.6956 data: 0.0055 max mem: 31630 Epoch: [22] [3310/5278] eta: 1:27:47 lr: 2.3604571924328622e-05 loss: 0.0570 (0.0635) loss_seg: 0.0565 (0.0630) loss_lansim: 0.0384 (0.0398) loss_contra: 0.0010 (0.0054) time: 2.6974 data: 0.0056 max mem: 31630 Epoch: [22] [3320/5278] eta: 1:27:20 lr: 2.360225503748009e-05 loss: 0.0583 (0.0635) loss_seg: 0.0572 (0.0630) loss_lansim: 0.0384 (0.0398) loss_contra: 0.0011 (0.0054) time: 2.7016 data: 0.0057 max mem: 31630 Epoch: [22] [3330/5278] eta: 1:26:54 lr: 2.3599938125360793e-05 loss: 0.0575 (0.0634) loss_seg: 0.0572 (0.0630) loss_lansim: 0.0384 (0.0398) loss_contra: 0.0011 (0.0054) time: 2.7006 data: 0.0056 max mem: 31630 Epoch: [22] [3340/5278] eta: 1:26:27 lr: 2.3597621187967697e-05 loss: 0.0561 (0.0634) loss_seg: 0.0558 (0.0629) loss_lansim: 0.0377 (0.0398) loss_contra: 0.0011 (0.0054) time: 2.7036 data: 0.0056 max mem: 31630 Epoch: [22] [3350/5278] eta: 1:26:00 lr: 2.3595304225297776e-05 loss: 0.0539 (0.0634) loss_seg: 0.0536 (0.0629) loss_lansim: 0.0376 (0.0398) loss_contra: 0.0011 (0.0054) time: 2.6988 data: 0.0056 max mem: 31630 Epoch: [22] [3360/5278] eta: 1:25:34 lr: 2.3592987237347994e-05 loss: 0.0532 (0.0633) loss_seg: 0.0528 (0.0629) loss_lansim: 0.0375 (0.0398) loss_contra: 0.0010 (0.0054) time: 2.7032 data: 0.0056 max mem: 31630 Epoch: [22] [3370/5278] eta: 1:25:07 lr: 2.359067022411531e-05 loss: 0.0530 (0.0633) loss_seg: 0.0526 (0.0628) loss_lansim: 0.0374 (0.0398) loss_contra: 0.0010 (0.0053) time: 2.7001 data: 0.0056 max mem: 31630 Epoch: [22] [3380/5278] eta: 1:24:41 lr: 2.3588353185596693e-05 loss: 0.0530 (0.0633) loss_seg: 0.0526 (0.0628) loss_lansim: 0.0375 (0.0398) loss_contra: 0.0006 (0.0053) time: 2.7023 data: 0.0055 max mem: 31630 Epoch: [22] [3390/5278] eta: 1:24:14 lr: 2.3586036121789107e-05 loss: 0.0539 (0.0633) loss_seg: 0.0536 (0.0629) loss_lansim: 0.0374 (0.0398) loss_contra: 0.0006 (0.0053) time: 2.7025 data: 0.0054 max mem: 31630 Epoch: [22] [3400/5278] eta: 1:23:47 lr: 2.3583719032689523e-05 loss: 0.0525 (0.0633) loss_seg: 0.0520 (0.0629) loss_lansim: 0.0374 (0.0398) loss_contra: 0.0006 (0.0053) time: 2.7049 data: 0.0053 max mem: 31630 Epoch: [22] [3410/5278] eta: 1:23:21 lr: 2.3581401918294887e-05 loss: 0.0535 (0.0633) loss_seg: 0.0531 (0.0629) loss_lansim: 0.0374 (0.0398) loss_contra: 0.0006 (0.0053) time: 2.7057 data: 0.0053 max mem: 31630 Epoch: [22] [3420/5278] eta: 1:22:54 lr: 2.3579084778602174e-05 loss: 0.0525 (0.0633) loss_seg: 0.0520 (0.0628) loss_lansim: 0.0373 (0.0397) loss_contra: 0.0006 (0.0053) time: 2.7072 data: 0.0053 max mem: 31630 Epoch: [22] [3430/5278] eta: 1:22:28 lr: 2.357676761360834e-05 loss: 0.0543 (0.0633) loss_seg: 0.0540 (0.0629) loss_lansim: 0.0372 (0.0397) loss_contra: 0.0005 (0.0053) time: 2.7082 data: 0.0053 max mem: 31630 Epoch: [22] [3440/5278] eta: 1:22:01 lr: 2.357445042331036e-05 loss: 0.0582 (0.0633) loss_seg: 0.0577 (0.0629) loss_lansim: 0.0373 (0.0397) loss_contra: 0.0004 (0.0053) time: 2.7105 data: 0.0053 max mem: 31630 Epoch: [22] [3450/5278] eta: 1:21:35 lr: 2.3572133207705172e-05 loss: 0.0585 (0.0633) loss_seg: 0.0581 (0.0629) loss_lansim: 0.0366 (0.0397) loss_contra: 0.0004 (0.0053) time: 2.7121 data: 0.0054 max mem: 31630 Epoch: [22] [3460/5278] eta: 1:21:08 lr: 2.3569815966789745e-05 loss: 0.0603 (0.0633) loss_seg: 0.0599 (0.0629) loss_lansim: 0.0366 (0.0397) loss_contra: 0.0004 (0.0053) time: 2.7112 data: 0.0054 max mem: 31630 Epoch: [22] [3470/5278] eta: 1:20:41 lr: 2.3567498700561037e-05 loss: 0.0592 (0.0633) loss_seg: 0.0587 (0.0629) loss_lansim: 0.0365 (0.0397) loss_contra: 0.0004 (0.0053) time: 2.7125 data: 0.0054 max mem: 31630 Epoch: [22] [3480/5278] eta: 1:20:15 lr: 2.3565181409016016e-05 loss: 0.0613 (0.0634) loss_seg: 0.0610 (0.0629) loss_lansim: 0.0364 (0.0397) loss_contra: 0.0005 (0.0053) time: 2.7151 data: 0.0055 max mem: 31630 Epoch: [22] [3490/5278] eta: 1:19:48 lr: 2.3562864092151624e-05 loss: 0.0615 (0.0634) loss_seg: 0.0612 (0.0629) loss_lansim: 0.0364 (0.0397) loss_contra: 0.0005 (0.0053) time: 2.7152 data: 0.0055 max mem: 31630 Epoch: [22] [3500/5278] eta: 1:19:22 lr: 2.3560546749964823e-05 loss: 0.0613 (0.0634) loss_seg: 0.0610 (0.0629) loss_lansim: 0.0362 (0.0397) loss_contra: 0.0005 (0.0053) time: 2.7167 data: 0.0054 max mem: 31630 Epoch: [22] [3510/5278] eta: 1:18:55 lr: 2.355822938245257e-05 loss: 0.0615 (0.0634) loss_seg: 0.0612 (0.0630) loss_lansim: 0.0363 (0.0397) loss_contra: 0.0005 (0.0053) time: 2.7155 data: 0.0054 max mem: 31630 Epoch: [22] [3520/5278] eta: 1:18:28 lr: 2.3555911989611827e-05 loss: 0.0624 (0.0634) loss_seg: 0.0620 (0.0630) loss_lansim: 0.0365 (0.0397) loss_contra: 0.0005 (0.0053) time: 2.7174 data: 0.0053 max mem: 31630 Epoch: [22] [3530/5278] eta: 1:18:02 lr: 2.3553594571439534e-05 loss: 0.0603 (0.0634) loss_seg: 0.0600 (0.0630) loss_lansim: 0.0363 (0.0397) loss_contra: 0.0005 (0.0052) time: 2.7162 data: 0.0053 max mem: 31630 Epoch: [22] [3540/5278] eta: 1:17:35 lr: 2.3551277127932654e-05 loss: 0.0592 (0.0634) loss_seg: 0.0588 (0.0630) loss_lansim: 0.0362 (0.0397) loss_contra: 0.0006 (0.0052) time: 2.7138 data: 0.0053 max mem: 31630 Epoch: [22] [3550/5278] eta: 1:17:08 lr: 2.3548959659088136e-05 loss: 0.0592 (0.0634) loss_seg: 0.0588 (0.0630) loss_lansim: 0.0362 (0.0396) loss_contra: 0.0006 (0.0052) time: 2.7106 data: 0.0052 max mem: 31630 Epoch: [22] [3560/5278] eta: 1:16:42 lr: 2.354664216490294e-05 loss: 0.0581 (0.0634) loss_seg: 0.0578 (0.0629) loss_lansim: 0.0359 (0.0396) loss_contra: 0.0006 (0.0052) time: 2.7090 data: 0.0052 max mem: 31630 Epoch: [22] [3570/5278] eta: 1:16:15 lr: 2.354432464537401e-05 loss: 0.0585 (0.0634) loss_seg: 0.0581 (0.0629) loss_lansim: 0.0366 (0.0396) loss_contra: 0.0006 (0.0052) time: 2.7119 data: 0.0051 max mem: 31630 Epoch: [22] [3580/5278] eta: 1:15:49 lr: 2.3542007100498296e-05 loss: 0.0560 (0.0634) loss_seg: 0.0556 (0.0629) loss_lansim: 0.0369 (0.0396) loss_contra: 0.0006 (0.0052) time: 2.7120 data: 0.0052 max mem: 31630 Epoch: [22] [3590/5278] eta: 1:15:22 lr: 2.3539689530272753e-05 loss: 0.0553 (0.0633) loss_seg: 0.0548 (0.0629) loss_lansim: 0.0367 (0.0396) loss_contra: 0.0006 (0.0052) time: 2.7171 data: 0.0053 max mem: 31630 Epoch: [22] [3600/5278] eta: 1:14:55 lr: 2.353737193469433e-05 loss: 0.0560 (0.0633) loss_seg: 0.0556 (0.0629) loss_lansim: 0.0369 (0.0396) loss_contra: 0.0005 (0.0052) time: 2.7130 data: 0.0053 max mem: 31630 Epoch: [22] [3610/5278] eta: 1:14:29 lr: 2.3535054313759976e-05 loss: 0.0560 (0.0633) loss_seg: 0.0556 (0.0629) loss_lansim: 0.0366 (0.0396) loss_contra: 0.0005 (0.0052) time: 2.7200 data: 0.0053 max mem: 31630 Epoch: [22] [3620/5278] eta: 1:14:02 lr: 2.3532736667466636e-05 loss: 0.0544 (0.0633) loss_seg: 0.0540 (0.0629) loss_lansim: 0.0361 (0.0396) loss_contra: 0.0004 (0.0052) time: 2.7148 data: 0.0054 max mem: 31630 Epoch: [22] [3630/5278] eta: 1:13:36 lr: 2.353041899581126e-05 loss: 0.0546 (0.0634) loss_seg: 0.0543 (0.0629) loss_lansim: 0.0366 (0.0396) loss_contra: 0.0004 (0.0052) time: 2.7212 data: 0.0053 max mem: 31630 Epoch: [22] [3640/5278] eta: 1:13:09 lr: 2.3528101298790793e-05 loss: 0.0544 (0.0634) loss_seg: 0.0540 (0.0629) loss_lansim: 0.0366 (0.0396) loss_contra: 0.0004 (0.0051) time: 2.7182 data: 0.0053 max mem: 31630 Epoch: [22] [3650/5278] eta: 1:12:43 lr: 2.3525783576402188e-05 loss: 0.0544 (0.0634) loss_seg: 0.0540 (0.0629) loss_lansim: 0.0371 (0.0396) loss_contra: 0.0004 (0.0051) time: 2.7222 data: 0.0053 max mem: 31630 Epoch: [22] [3660/5278] eta: 1:12:16 lr: 2.3523465828642378e-05 loss: 0.0567 (0.0634) loss_seg: 0.0563 (0.0629) loss_lansim: 0.0367 (0.0396) loss_contra: 0.0003 (0.0051) time: 2.7211 data: 0.0053 max mem: 31630 Epoch: [22] [3670/5278] eta: 1:11:49 lr: 2.3521148055508318e-05 loss: 0.0571 (0.0634) loss_seg: 0.0567 (0.0629) loss_lansim: 0.0369 (0.0396) loss_contra: 0.0003 (0.0051) time: 2.7221 data: 0.0053 max mem: 31630 Epoch: [22] [3680/5278] eta: 1:11:23 lr: 2.3518830256996946e-05 loss: 0.0582 (0.0634) loss_seg: 0.0578 (0.0629) loss_lansim: 0.0371 (0.0396) loss_contra: 0.0002 (0.0051) time: 2.7203 data: 0.0052 max mem: 31630 Epoch: [22] [3690/5278] eta: 1:10:56 lr: 2.3516512433105212e-05 loss: 0.0586 (0.0634) loss_seg: 0.0582 (0.0630) loss_lansim: 0.0367 (0.0396) loss_contra: 0.0002 (0.0051) time: 2.7175 data: 0.0051 max mem: 31630 Epoch: [22] [3700/5278] eta: 1:10:29 lr: 2.3514194583830052e-05 loss: 0.0586 (0.0634) loss_seg: 0.0582 (0.0630) loss_lansim: 0.0371 (0.0396) loss_contra: 0.0002 (0.0051) time: 2.7194 data: 0.0050 max mem: 31630 Epoch: [22] [3710/5278] eta: 1:10:03 lr: 2.3511876709168407e-05 loss: 0.0582 (0.0635) loss_seg: 0.0578 (0.0630) loss_lansim: 0.0367 (0.0395) loss_contra: 0.0002 (0.0051) time: 2.7179 data: 0.0050 max mem: 31630 Epoch: [22] [3720/5278] eta: 1:09:36 lr: 2.3509558809117223e-05 loss: 0.0586 (0.0635) loss_seg: 0.0582 (0.0630) loss_lansim: 0.0367 (0.0395) loss_contra: 0.0002 (0.0051) time: 2.7218 data: 0.0050 max mem: 31630 Epoch: [22] [3730/5278] eta: 1:09:09 lr: 2.350724088367344e-05 loss: 0.0603 (0.0635) loss_seg: 0.0599 (0.0630) loss_lansim: 0.0362 (0.0395) loss_contra: 0.0002 (0.0051) time: 2.7186 data: 0.0049 max mem: 31630 Epoch: [22] [3740/5278] eta: 1:08:43 lr: 2.3504922932833996e-05 loss: 0.0594 (0.0635) loss_seg: 0.0590 (0.0630) loss_lansim: 0.0361 (0.0395) loss_contra: 0.0002 (0.0051) time: 2.7267 data: 0.0049 max mem: 31630 Epoch: [22] [3750/5278] eta: 1:08:16 lr: 2.3502604956595824e-05 loss: 0.0607 (0.0635) loss_seg: 0.0604 (0.0630) loss_lansim: 0.0358 (0.0395) loss_contra: 0.0002 (0.0050) time: 2.7221 data: 0.0049 max mem: 31630 Epoch: [22] [3760/5278] eta: 1:07:50 lr: 2.3500286954955876e-05 loss: 0.0607 (0.0635) loss_seg: 0.0604 (0.0631) loss_lansim: 0.0361 (0.0395) loss_contra: 0.0002 (0.0051) time: 2.7252 data: 0.0049 max mem: 31630 Epoch: [22] [3770/5278] eta: 1:07:23 lr: 2.3497968927911082e-05 loss: 0.0603 (0.0635) loss_seg: 0.0599 (0.0631) loss_lansim: 0.0358 (0.0395) loss_contra: 0.0002 (0.0051) time: 2.7230 data: 0.0049 max mem: 31630 Epoch: [22] [3780/5278] eta: 1:06:56 lr: 2.3495650875458376e-05 loss: 0.0576 (0.0635) loss_seg: 0.0572 (0.0631) loss_lansim: 0.0361 (0.0395) loss_contra: 0.0002 (0.0051) time: 2.7207 data: 0.0049 max mem: 31630 Epoch: [22] [3790/5278] eta: 1:06:30 lr: 2.3493332797594695e-05 loss: 0.0615 (0.0635) loss_seg: 0.0611 (0.0631) loss_lansim: 0.0362 (0.0395) loss_contra: 0.0004 (0.0051) time: 2.7273 data: 0.0049 max mem: 31630 Epoch: [22] [3800/5278] eta: 1:06:03 lr: 2.349101469431698e-05 loss: 0.0603 (0.0635) loss_seg: 0.0599 (0.0631) loss_lansim: 0.0362 (0.0395) loss_contra: 0.0005 (0.0051) time: 2.7295 data: 0.0049 max mem: 31630 Epoch: [22] [3810/5278] eta: 1:05:37 lr: 2.3488696565622165e-05 loss: 0.0610 (0.0636) loss_seg: 0.0606 (0.0631) loss_lansim: 0.0362 (0.0395) loss_contra: 0.0005 (0.0051) time: 2.7307 data: 0.0049 max mem: 31630 Epoch: [22] [3820/5278] eta: 1:05:10 lr: 2.348637841150718e-05 loss: 0.0610 (0.0635) loss_seg: 0.0606 (0.0631) loss_lansim: 0.0369 (0.0395) loss_contra: 0.0005 (0.0051) time: 2.7278 data: 0.0049 max mem: 31630 Epoch: [22] [3830/5278] eta: 1:04:43 lr: 2.3484060231968956e-05 loss: 0.0606 (0.0635) loss_seg: 0.0601 (0.0631) loss_lansim: 0.0373 (0.0395) loss_contra: 0.0005 (0.0051) time: 2.7338 data: 0.0049 max mem: 31630 Epoch: [22] [3840/5278] eta: 1:04:17 lr: 2.3481742027004434e-05 loss: 0.0607 (0.0635) loss_seg: 0.0604 (0.0631) loss_lansim: 0.0375 (0.0395) loss_contra: 0.0006 (0.0051) time: 2.7258 data: 0.0049 max mem: 31630 Epoch: [22] [3850/5278] eta: 1:03:50 lr: 2.3479423796610537e-05 loss: 0.0599 (0.0635) loss_seg: 0.0595 (0.0631) loss_lansim: 0.0376 (0.0395) loss_contra: 0.0007 (0.0051) time: 2.7304 data: 0.0049 max mem: 31630 Epoch: [22] [3860/5278] eta: 1:03:23 lr: 2.3477105540784207e-05 loss: 0.0596 (0.0635) loss_seg: 0.0593 (0.0631) loss_lansim: 0.0377 (0.0395) loss_contra: 0.0007 (0.0052) time: 2.7286 data: 0.0049 max mem: 31630 Epoch: [22] [3870/5278] eta: 1:02:56 lr: 2.3474787259522366e-05 loss: 0.0596 (0.0635) loss_seg: 0.0593 (0.0631) loss_lansim: 0.0377 (0.0395) loss_contra: 0.0007 (0.0052) time: 2.7292 data: 0.0049 max mem: 31630 Epoch: [22] [3880/5278] eta: 1:02:30 lr: 2.3472468952821947e-05 loss: 0.0596 (0.0635) loss_seg: 0.0593 (0.0631) loss_lansim: 0.0375 (0.0394) loss_contra: 0.0007 (0.0053) time: 2.7337 data: 0.0049 max mem: 31630 Epoch: [22] [3890/5278] eta: 1:02:03 lr: 2.3470150620679876e-05 loss: 0.0562 (0.0635) loss_seg: 0.0558 (0.0630) loss_lansim: 0.0376 (0.0395) loss_contra: 0.0005 (0.0052) time: 2.7255 data: 0.0049 max mem: 31630 Epoch: [22] [3900/5278] eta: 1:01:37 lr: 2.346783226309309e-05 loss: 0.0563 (0.0635) loss_seg: 0.0560 (0.0630) loss_lansim: 0.0376 (0.0395) loss_contra: 0.0005 (0.0052) time: 2.7296 data: 0.0049 max mem: 31630 Epoch: [22] [3910/5278] eta: 1:01:10 lr: 2.3465513880058504e-05 loss: 0.0544 (0.0635) loss_seg: 0.0541 (0.0630) loss_lansim: 0.0379 (0.0395) loss_contra: 0.0005 (0.0052) time: 2.7257 data: 0.0049 max mem: 31630 Epoch: [22] [3920/5278] eta: 1:00:43 lr: 2.3463195471573056e-05 loss: 0.0544 (0.0634) loss_seg: 0.0540 (0.0630) loss_lansim: 0.0376 (0.0394) loss_contra: 0.0005 (0.0052) time: 2.7292 data: 0.0049 max mem: 31630 Epoch: [22] [3930/5278] eta: 1:00:16 lr: 2.3460877037633665e-05 loss: 0.0535 (0.0634) loss_seg: 0.0531 (0.0630) loss_lansim: 0.0382 (0.0395) loss_contra: 0.0005 (0.0052) time: 2.7218 data: 0.0049 max mem: 31630 Epoch: [22] [3940/5278] eta: 0:59:50 lr: 2.3458558578237265e-05 loss: 0.0533 (0.0634) loss_seg: 0.0530 (0.0630) loss_lansim: 0.0378 (0.0394) loss_contra: 0.0005 (0.0052) time: 2.7253 data: 0.0050 max mem: 31630 Epoch: [22] [3950/5278] eta: 0:59:23 lr: 2.3456240093380768e-05 loss: 0.0544 (0.0635) loss_seg: 0.0541 (0.0630) loss_lansim: 0.0377 (0.0394) loss_contra: 0.0005 (0.0052) time: 2.7225 data: 0.0050 max mem: 31630 Epoch: [22] [3960/5278] eta: 0:58:56 lr: 2.345392158306111e-05 loss: 0.0544 (0.0635) loss_seg: 0.0541 (0.0630) loss_lansim: 0.0376 (0.0394) loss_contra: 0.0005 (0.0052) time: 2.7254 data: 0.0051 max mem: 31630 Epoch: [22] [3970/5278] eta: 0:58:30 lr: 2.3451603047275205e-05 loss: 0.0545 (0.0634) loss_seg: 0.0542 (0.0630) loss_lansim: 0.0372 (0.0394) loss_contra: 0.0005 (0.0052) time: 2.7233 data: 0.0052 max mem: 31630 Epoch: [22] [3980/5278] eta: 0:58:03 lr: 2.344928448601999e-05 loss: 0.0553 (0.0634) loss_seg: 0.0549 (0.0630) loss_lansim: 0.0371 (0.0394) loss_contra: 0.0004 (0.0052) time: 2.7214 data: 0.0052 max mem: 31630 Epoch: [22] [3990/5278] eta: 0:57:36 lr: 2.344696589929237e-05 loss: 0.0569 (0.0635) loss_seg: 0.0564 (0.0630) loss_lansim: 0.0365 (0.0394) loss_contra: 0.0005 (0.0052) time: 2.7231 data: 0.0053 max mem: 31630 Epoch: [22] [4000/5278] eta: 0:57:09 lr: 2.344464728708928e-05 loss: 0.0569 (0.0635) loss_seg: 0.0564 (0.0630) loss_lansim: 0.0362 (0.0394) loss_contra: 0.0005 (0.0053) time: 2.7185 data: 0.0053 max mem: 31630 Epoch: [22] [4010/5278] eta: 0:56:43 lr: 2.344232864940763e-05 loss: 0.0575 (0.0635) loss_seg: 0.0572 (0.0630) loss_lansim: 0.0354 (0.0394) loss_contra: 0.0005 (0.0052) time: 2.7222 data: 0.0052 max mem: 31630 Epoch: [22] [4020/5278] eta: 0:56:16 lr: 2.3440009986244347e-05 loss: 0.0580 (0.0635) loss_seg: 0.0576 (0.0630) loss_lansim: 0.0354 (0.0394) loss_contra: 0.0006 (0.0052) time: 2.7172 data: 0.0053 max mem: 31630 Epoch: [22] [4030/5278] eta: 0:55:49 lr: 2.3437691297596352e-05 loss: 0.0580 (0.0635) loss_seg: 0.0576 (0.0630) loss_lansim: 0.0353 (0.0394) loss_contra: 0.0006 (0.0052) time: 2.7207 data: 0.0053 max mem: 31630 Epoch: [22] [4040/5278] eta: 0:55:23 lr: 2.3435372583460552e-05 loss: 0.0584 (0.0635) loss_seg: 0.0581 (0.0630) loss_lansim: 0.0354 (0.0394) loss_contra: 0.0006 (0.0052) time: 2.7187 data: 0.0052 max mem: 31630 Epoch: [22] [4050/5278] eta: 0:54:56 lr: 2.3433053843833876e-05 loss: 0.0568 (0.0635) loss_seg: 0.0563 (0.0630) loss_lansim: 0.0353 (0.0394) loss_contra: 0.0006 (0.0052) time: 2.7197 data: 0.0052 max mem: 31630 Epoch: [22] [4060/5278] eta: 0:54:29 lr: 2.343073507871324e-05 loss: 0.0592 (0.0635) loss_seg: 0.0588 (0.0630) loss_lansim: 0.0352 (0.0394) loss_contra: 0.0006 (0.0052) time: 2.7129 data: 0.0052 max mem: 31630 Epoch: [22] [4070/5278] eta: 0:54:02 lr: 2.3428416288095554e-05 loss: 0.0604 (0.0635) loss_seg: 0.0600 (0.0631) loss_lansim: 0.0352 (0.0393) loss_contra: 0.0007 (0.0052) time: 2.7212 data: 0.0052 max mem: 31630 Epoch: [22] [4080/5278] eta: 0:53:36 lr: 2.3426097471977737e-05 loss: 0.0605 (0.0635) loss_seg: 0.0600 (0.0631) loss_lansim: 0.0353 (0.0393) loss_contra: 0.0007 (0.0052) time: 2.7227 data: 0.0052 max mem: 31630 Epoch: [22] [4090/5278] eta: 0:53:09 lr: 2.3423778630356706e-05 loss: 0.0591 (0.0635) loss_seg: 0.0588 (0.0630) loss_lansim: 0.0352 (0.0393) loss_contra: 0.0007 (0.0052) time: 2.7255 data: 0.0053 max mem: 31630 Epoch: [22] [4100/5278] eta: 0:52:42 lr: 2.342145976322937e-05 loss: 0.0578 (0.0635) loss_seg: 0.0574 (0.0630) loss_lansim: 0.0353 (0.0393) loss_contra: 0.0006 (0.0052) time: 2.7256 data: 0.0053 max mem: 31630 Epoch: [22] [4110/5278] eta: 0:52:16 lr: 2.3419140870592657e-05 loss: 0.0557 (0.0635) loss_seg: 0.0552 (0.0630) loss_lansim: 0.0351 (0.0393) loss_contra: 0.0006 (0.0052) time: 2.7232 data: 0.0055 max mem: 31630 Epoch: [22] [4120/5278] eta: 0:51:49 lr: 2.341682195244346e-05 loss: 0.0550 (0.0634) loss_seg: 0.0546 (0.0630) loss_lansim: 0.0348 (0.0393) loss_contra: 0.0005 (0.0052) time: 2.7214 data: 0.0055 max mem: 31630 Epoch: [22] [4130/5278] eta: 0:51:22 lr: 2.3414503008778703e-05 loss: 0.0550 (0.0634) loss_seg: 0.0546 (0.0630) loss_lansim: 0.0348 (0.0393) loss_contra: 0.0004 (0.0052) time: 2.7226 data: 0.0056 max mem: 31630 Epoch: [22] [4140/5278] eta: 0:50:55 lr: 2.341218403959529e-05 loss: 0.0550 (0.0634) loss_seg: 0.0546 (0.0630) loss_lansim: 0.0351 (0.0393) loss_contra: 0.0005 (0.0052) time: 2.7238 data: 0.0057 max mem: 31630 Epoch: [22] [4150/5278] eta: 0:50:29 lr: 2.3409865044890143e-05 loss: 0.0550 (0.0634) loss_seg: 0.0546 (0.0630) loss_lansim: 0.0351 (0.0393) loss_contra: 0.0005 (0.0052) time: 2.7282 data: 0.0057 max mem: 31630 Epoch: [22] [4160/5278] eta: 0:50:02 lr: 2.340754602466016e-05 loss: 0.0536 (0.0634) loss_seg: 0.0533 (0.0630) loss_lansim: 0.0351 (0.0393) loss_contra: 0.0004 (0.0052) time: 2.7301 data: 0.0057 max mem: 31630 Epoch: [22] [4170/5278] eta: 0:49:35 lr: 2.3405226978902254e-05 loss: 0.0546 (0.0634) loss_seg: 0.0543 (0.0630) loss_lansim: 0.0350 (0.0392) loss_contra: 0.0004 (0.0052) time: 2.7286 data: 0.0058 max mem: 31630 Epoch: [22] [4180/5278] eta: 0:49:08 lr: 2.3402907907613335e-05 loss: 0.0551 (0.0634) loss_seg: 0.0547 (0.0630) loss_lansim: 0.0346 (0.0392) loss_contra: 0.0003 (0.0052) time: 2.7261 data: 0.0057 max mem: 31630 Epoch: [22] [4190/5278] eta: 0:48:42 lr: 2.3400588810790316e-05 loss: 0.0551 (0.0634) loss_seg: 0.0547 (0.0630) loss_lansim: 0.0344 (0.0392) loss_contra: 0.0003 (0.0052) time: 2.7261 data: 0.0056 max mem: 31630 Epoch: [22] [4200/5278] eta: 0:48:15 lr: 2.3398269688430098e-05 loss: 0.0556 (0.0634) loss_seg: 0.0553 (0.0630) loss_lansim: 0.0343 (0.0392) loss_contra: 0.0004 (0.0052) time: 2.7231 data: 0.0056 max mem: 31630 Epoch: [22] [4210/5278] eta: 0:47:48 lr: 2.3395950540529583e-05 loss: 0.0563 (0.0634) loss_seg: 0.0559 (0.0630) loss_lansim: 0.0343 (0.0392) loss_contra: 0.0005 (0.0052) time: 2.7263 data: 0.0057 max mem: 31630 Epoch: [22] [4220/5278] eta: 0:47:21 lr: 2.339363136708568e-05 loss: 0.0601 (0.0634) loss_seg: 0.0598 (0.0630) loss_lansim: 0.0343 (0.0392) loss_contra: 0.0004 (0.0051) time: 2.7289 data: 0.0058 max mem: 31630 Epoch: [22] [4230/5278] eta: 0:46:55 lr: 2.3391312168095305e-05 loss: 0.0619 (0.0634) loss_seg: 0.0616 (0.0630) loss_lansim: 0.0339 (0.0392) loss_contra: 0.0004 (0.0051) time: 2.7312 data: 0.0057 max mem: 31630 Epoch: [22] [4240/5278] eta: 0:46:28 lr: 2.3388992943555347e-05 loss: 0.0601 (0.0634) loss_seg: 0.0598 (0.0630) loss_lansim: 0.0337 (0.0392) loss_contra: 0.0004 (0.0051) time: 2.7336 data: 0.0058 max mem: 31630 Epoch: [22] [4250/5278] eta: 0:46:01 lr: 2.3386673693462713e-05 loss: 0.0611 (0.0634) loss_seg: 0.0608 (0.0630) loss_lansim: 0.0339 (0.0391) loss_contra: 0.0005 (0.0051) time: 2.7353 data: 0.0058 max mem: 31630 Epoch: [22] [4260/5278] eta: 0:45:35 lr: 2.338435441781431e-05 loss: 0.0615 (0.0634) loss_seg: 0.0611 (0.0630) loss_lansim: 0.0343 (0.0392) loss_contra: 0.0005 (0.0051) time: 2.7436 data: 0.0059 max mem: 31630 Epoch: [22] [4270/5278] eta: 0:45:08 lr: 2.338203511660704e-05 loss: 0.0620 (0.0634) loss_seg: 0.0616 (0.0630) loss_lansim: 0.0352 (0.0392) loss_contra: 0.0005 (0.0051) time: 2.7415 data: 0.0058 max mem: 31630 Epoch: [22] [4280/5278] eta: 0:44:41 lr: 2.3379715789837803e-05 loss: 0.0598 (0.0634) loss_seg: 0.0595 (0.0630) loss_lansim: 0.0365 (0.0392) loss_contra: 0.0005 (0.0051) time: 2.7436 data: 0.0058 max mem: 31630 Epoch: [22] [4290/5278] eta: 0:44:14 lr: 2.3377396437503495e-05 loss: 0.0620 (0.0634) loss_seg: 0.0615 (0.0630) loss_lansim: 0.0380 (0.0392) loss_contra: 0.0005 (0.0051) time: 2.7426 data: 0.0058 max mem: 31630 Epoch: [22] [4300/5278] eta: 0:43:48 lr: 2.3375077059601022e-05 loss: 0.0615 (0.0634) loss_seg: 0.0611 (0.0630) loss_lansim: 0.0409 (0.0393) loss_contra: 0.0005 (0.0051) time: 2.7439 data: 0.0057 max mem: 31630 Epoch: [22] [4310/5278] eta: 0:43:21 lr: 2.3372757656127286e-05 loss: 0.0582 (0.0634) loss_seg: 0.0578 (0.0630) loss_lansim: 0.0422 (0.0393) loss_contra: 0.0005 (0.0051) time: 2.7451 data: 0.0056 max mem: 31630 Epoch: [22] [4320/5278] eta: 0:42:54 lr: 2.3370438227079175e-05 loss: 0.0557 (0.0634) loss_seg: 0.0552 (0.0630) loss_lansim: 0.0443 (0.0393) loss_contra: 0.0006 (0.0051) time: 2.7521 data: 0.0056 max mem: 31630 Epoch: [22] [4330/5278] eta: 0:42:27 lr: 2.3368118772453594e-05 loss: 0.0544 (0.0634) loss_seg: 0.0539 (0.0629) loss_lansim: 0.0467 (0.0393) loss_contra: 0.0006 (0.0051) time: 2.7504 data: 0.0055 max mem: 31630 Epoch: [22] [4340/5278] eta: 0:42:01 lr: 2.3365799292247437e-05 loss: 0.0548 (0.0634) loss_seg: 0.0543 (0.0629) loss_lansim: 0.0473 (0.0394) loss_contra: 0.0005 (0.0051) time: 2.7478 data: 0.0054 max mem: 31630 Epoch: [22] [4350/5278] eta: 0:41:34 lr: 2.3363479786457603e-05 loss: 0.0537 (0.0633) loss_seg: 0.0532 (0.0629) loss_lansim: 0.0480 (0.0394) loss_contra: 0.0005 (0.0051) time: 2.7431 data: 0.0054 max mem: 31630 Epoch: [22] [4360/5278] eta: 0:41:07 lr: 2.336116025508099e-05 loss: 0.0537 (0.0633) loss_seg: 0.0532 (0.0629) loss_lansim: 0.0499 (0.0394) loss_contra: 0.0005 (0.0051) time: 2.7425 data: 0.0054 max mem: 31630 Epoch: [22] [4370/5278] eta: 0:40:40 lr: 2.3358840698114486e-05 loss: 0.0528 (0.0633) loss_seg: 0.0522 (0.0629) loss_lansim: 0.0513 (0.0395) loss_contra: 0.0006 (0.0052) time: 2.7459 data: 0.0053 max mem: 31630 Epoch: [22] [4380/5278] eta: 0:40:14 lr: 2.3356521115554992e-05 loss: 0.0528 (0.0633) loss_seg: 0.0522 (0.0629) loss_lansim: 0.0514 (0.0395) loss_contra: 0.0008 (0.0051) time: 2.7486 data: 0.0054 max mem: 31630 Epoch: [22] [4390/5278] eta: 0:39:47 lr: 2.3354201507399393e-05 loss: 0.0522 (0.0633) loss_seg: 0.0515 (0.0629) loss_lansim: 0.0513 (0.0395) loss_contra: 0.0007 (0.0052) time: 2.7520 data: 0.0055 max mem: 31630 Epoch: [22] [4400/5278] eta: 0:39:20 lr: 2.3351881873644592e-05 loss: 0.0502 (0.0633) loss_seg: 0.0497 (0.0628) loss_lansim: 0.0514 (0.0396) loss_contra: 0.0008 (0.0052) time: 2.7547 data: 0.0055 max mem: 31630 Epoch: [22] [4410/5278] eta: 0:38:53 lr: 2.3349562214287474e-05 loss: 0.0522 (0.0633) loss_seg: 0.0516 (0.0628) loss_lansim: 0.0524 (0.0396) loss_contra: 0.0008 (0.0052) time: 2.7550 data: 0.0055 max mem: 31630 Epoch: [22] [4420/5278] eta: 0:38:27 lr: 2.334724252932493e-05 loss: 0.0524 (0.0633) loss_seg: 0.0518 (0.0629) loss_lansim: 0.0540 (0.0396) loss_contra: 0.0008 (0.0052) time: 2.7504 data: 0.0054 max mem: 31630 Epoch: [22] [4430/5278] eta: 0:38:00 lr: 2.3344922818753852e-05 loss: 0.0526 (0.0633) loss_seg: 0.0518 (0.0629) loss_lansim: 0.0540 (0.0397) loss_contra: 0.0008 (0.0052) time: 2.7494 data: 0.0054 max mem: 31630 Epoch: [22] [4440/5278] eta: 0:37:33 lr: 2.3342603082571137e-05 loss: 0.0537 (0.0634) loss_seg: 0.0532 (0.0629) loss_lansim: 0.0551 (0.0397) loss_contra: 0.0009 (0.0052) time: 2.7526 data: 0.0055 max mem: 31630 Epoch: [22] [4450/5278] eta: 0:37:06 lr: 2.3340283320773662e-05 loss: 0.0575 (0.0634) loss_seg: 0.0568 (0.0629) loss_lansim: 0.0554 (0.0398) loss_contra: 0.0009 (0.0052) time: 2.7551 data: 0.0055 max mem: 31630 Epoch: [22] [4460/5278] eta: 0:36:39 lr: 2.3337963533358322e-05 loss: 0.0575 (0.0634) loss_seg: 0.0568 (0.0629) loss_lansim: 0.0548 (0.0398) loss_contra: 0.0010 (0.0052) time: 2.7536 data: 0.0056 max mem: 31630 Epoch: [22] [4470/5278] eta: 0:36:13 lr: 2.3335643720322004e-05 loss: 0.0559 (0.0634) loss_seg: 0.0554 (0.0629) loss_lansim: 0.0546 (0.0398) loss_contra: 0.0010 (0.0051) time: 2.7485 data: 0.0056 max mem: 31630 Epoch: [22] [4480/5278] eta: 0:35:46 lr: 2.3333323881661598e-05 loss: 0.0559 (0.0634) loss_seg: 0.0554 (0.0629) loss_lansim: 0.0551 (0.0399) loss_contra: 0.0010 (0.0051) time: 2.7486 data: 0.0056 max mem: 31630 Epoch: [22] [4490/5278] eta: 0:35:19 lr: 2.3331004017373982e-05 loss: 0.0592 (0.0634) loss_seg: 0.0586 (0.0629) loss_lansim: 0.0572 (0.0399) loss_contra: 0.0010 (0.0052) time: 2.7444 data: 0.0056 max mem: 31630 Epoch: [22] [4500/5278] eta: 0:34:52 lr: 2.3328684127456045e-05 loss: 0.0601 (0.0634) loss_seg: 0.0595 (0.0629) loss_lansim: 0.0572 (0.0400) loss_contra: 0.0009 (0.0052) time: 2.7458 data: 0.0056 max mem: 31630 Epoch: [22] [4510/5278] eta: 0:34:25 lr: 2.3326364211904678e-05 loss: 0.0603 (0.0635) loss_seg: 0.0597 (0.0630) loss_lansim: 0.0585 (0.0400) loss_contra: 0.0009 (0.0052) time: 2.7401 data: 0.0056 max mem: 31630 Epoch: [22] [4520/5278] eta: 0:33:59 lr: 2.3324044270716764e-05 loss: 0.0604 (0.0635) loss_seg: 0.0598 (0.0630) loss_lansim: 0.0592 (0.0401) loss_contra: 0.0010 (0.0052) time: 2.7396 data: 0.0057 max mem: 31630 Epoch: [22] [4530/5278] eta: 0:33:32 lr: 2.3321724303889177e-05 loss: 0.0610 (0.0635) loss_seg: 0.0603 (0.0630) loss_lansim: 0.0593 (0.0401) loss_contra: 0.0011 (0.0052) time: 2.7381 data: 0.0057 max mem: 31630 Epoch: [22] [4540/5278] eta: 0:33:05 lr: 2.3319404311418805e-05 loss: 0.0610 (0.0635) loss_seg: 0.0603 (0.0630) loss_lansim: 0.0593 (0.0402) loss_contra: 0.0010 (0.0052) time: 2.7381 data: 0.0057 max mem: 31630 Epoch: [22] [4550/5278] eta: 0:32:38 lr: 2.331708429330253e-05 loss: 0.0601 (0.0635) loss_seg: 0.0594 (0.0630) loss_lansim: 0.0593 (0.0402) loss_contra: 0.0009 (0.0052) time: 2.7396 data: 0.0056 max mem: 31630 Epoch: [22] [4560/5278] eta: 0:32:11 lr: 2.331476424953724e-05 loss: 0.0618 (0.0635) loss_seg: 0.0612 (0.0631) loss_lansim: 0.0591 (0.0402) loss_contra: 0.0008 (0.0052) time: 2.7355 data: 0.0055 max mem: 31630 Epoch: [22] [4570/5278] eta: 0:31:44 lr: 2.3312444180119802e-05 loss: 0.0635 (0.0635) loss_seg: 0.0628 (0.0631) loss_lansim: 0.0584 (0.0403) loss_contra: 0.0011 (0.0052) time: 2.7387 data: 0.0055 max mem: 31630 Epoch: [22] [4580/5278] eta: 0:31:18 lr: 2.3310124085047103e-05 loss: 0.0635 (0.0636) loss_seg: 0.0628 (0.0631) loss_lansim: 0.0584 (0.0403) loss_contra: 0.0009 (0.0052) time: 2.7339 data: 0.0055 max mem: 31630 Epoch: [22] [4590/5278] eta: 0:30:51 lr: 2.330780396431602e-05 loss: 0.0639 (0.0636) loss_seg: 0.0633 (0.0631) loss_lansim: 0.0578 (0.0403) loss_contra: 0.0010 (0.0052) time: 2.7319 data: 0.0054 max mem: 31630 Epoch: [22] [4600/5278] eta: 0:30:24 lr: 2.3305483817923436e-05 loss: 0.0639 (0.0636) loss_seg: 0.0633 (0.0632) loss_lansim: 0.0578 (0.0404) loss_contra: 0.0011 (0.0052) time: 2.7307 data: 0.0054 max mem: 31630 Epoch: [22] [4610/5278] eta: 0:29:57 lr: 2.330316364586623e-05 loss: 0.0650 (0.0637) loss_seg: 0.0643 (0.0632) loss_lansim: 0.0566 (0.0404) loss_contra: 0.0010 (0.0053) time: 2.7284 data: 0.0054 max mem: 31630 Epoch: [22] [4620/5278] eta: 0:29:30 lr: 2.330084344814127e-05 loss: 0.0650 (0.0637) loss_seg: 0.0643 (0.0632) loss_lansim: 0.0547 (0.0404) loss_contra: 0.0009 (0.0053) time: 2.7314 data: 0.0054 max mem: 31630 Epoch: [22] [4630/5278] eta: 0:29:03 lr: 2.3298523224745437e-05 loss: 0.0641 (0.0637) loss_seg: 0.0635 (0.0632) loss_lansim: 0.0541 (0.0405) loss_contra: 0.0010 (0.0053) time: 2.7294 data: 0.0054 max mem: 31630 Epoch: [22] [4640/5278] eta: 0:28:36 lr: 2.3296202975675603e-05 loss: 0.0639 (0.0637) loss_seg: 0.0631 (0.0632) loss_lansim: 0.0535 (0.0405) loss_contra: 0.0011 (0.0053) time: 2.7309 data: 0.0054 max mem: 31630 Epoch: [22] [4650/5278] eta: 0:28:10 lr: 2.3293882700928652e-05 loss: 0.0650 (0.0637) loss_seg: 0.0643 (0.0632) loss_lansim: 0.0528 (0.0405) loss_contra: 0.0012 (0.0053) time: 2.7241 data: 0.0054 max mem: 31630 Epoch: [22] [4660/5278] eta: 0:27:43 lr: 2.3291562400501445e-05 loss: 0.0644 (0.0637) loss_seg: 0.0635 (0.0633) loss_lansim: 0.0526 (0.0405) loss_contra: 0.0012 (0.0053) time: 2.7285 data: 0.0054 max mem: 31630 Epoch: [22] [4670/5278] eta: 0:27:16 lr: 2.3289242074390864e-05 loss: 0.0641 (0.0637) loss_seg: 0.0631 (0.0633) loss_lansim: 0.0515 (0.0405) loss_contra: 0.0010 (0.0053) time: 2.7218 data: 0.0054 max mem: 31630 Epoch: [22] [4680/5278] eta: 0:26:49 lr: 2.3286921722593778e-05 loss: 0.0641 (0.0637) loss_seg: 0.0631 (0.0633) loss_lansim: 0.0509 (0.0405) loss_contra: 0.0011 (0.0053) time: 2.7240 data: 0.0054 max mem: 31630 Epoch: [22] [4690/5278] eta: 0:26:22 lr: 2.3284601345107064e-05 loss: 0.0631 (0.0637) loss_seg: 0.0625 (0.0633) loss_lansim: 0.0499 (0.0406) loss_contra: 0.0011 (0.0053) time: 2.7211 data: 0.0054 max mem: 31630 Epoch: [22] [4700/5278] eta: 0:25:55 lr: 2.3282280941927584e-05 loss: 0.0632 (0.0637) loss_seg: 0.0626 (0.0633) loss_lansim: 0.0495 (0.0406) loss_contra: 0.0010 (0.0053) time: 2.7211 data: 0.0054 max mem: 31630 Epoch: [22] [4710/5278] eta: 0:25:28 lr: 2.327996051305221e-05 loss: 0.0619 (0.0637) loss_seg: 0.0614 (0.0633) loss_lansim: 0.0480 (0.0406) loss_contra: 0.0010 (0.0053) time: 2.7224 data: 0.0054 max mem: 31630 Epoch: [22] [4720/5278] eta: 0:25:01 lr: 2.327764005847782e-05 loss: 0.0620 (0.0637) loss_seg: 0.0616 (0.0633) loss_lansim: 0.0478 (0.0406) loss_contra: 0.0010 (0.0053) time: 2.7193 data: 0.0054 max mem: 31630 Epoch: [22] [4730/5278] eta: 0:24:35 lr: 2.327531957820128e-05 loss: 0.0619 (0.0637) loss_seg: 0.0614 (0.0633) loss_lansim: 0.0478 (0.0406) loss_contra: 0.0009 (0.0053) time: 2.7214 data: 0.0053 max mem: 31630 Epoch: [22] [4740/5278] eta: 0:24:08 lr: 2.3272999072219455e-05 loss: 0.0620 (0.0638) loss_seg: 0.0616 (0.0633) loss_lansim: 0.0478 (0.0406) loss_contra: 0.0008 (0.0053) time: 2.7159 data: 0.0053 max mem: 31630 Epoch: [22] [4750/5278] eta: 0:23:41 lr: 2.3270678540529207e-05 loss: 0.0623 (0.0638) loss_seg: 0.0618 (0.0633) loss_lansim: 0.0473 (0.0407) loss_contra: 0.0007 (0.0053) time: 2.7208 data: 0.0053 max mem: 31630 Epoch: [22] [4760/5278] eta: 0:23:14 lr: 2.3268357983127413e-05 loss: 0.0620 (0.0638) loss_seg: 0.0616 (0.0633) loss_lansim: 0.0473 (0.0407) loss_contra: 0.0006 (0.0053) time: 2.7154 data: 0.0053 max mem: 31630 Epoch: [22] [4770/5278] eta: 0:22:47 lr: 2.326603740001094e-05 loss: 0.0620 (0.0638) loss_seg: 0.0616 (0.0633) loss_lansim: 0.0472 (0.0407) loss_contra: 0.0005 (0.0053) time: 2.7226 data: 0.0052 max mem: 31630 Epoch: [22] [4780/5278] eta: 0:22:20 lr: 2.3263716791176636e-05 loss: 0.0620 (0.0638) loss_seg: 0.0616 (0.0633) loss_lansim: 0.0472 (0.0407) loss_contra: 0.0005 (0.0053) time: 2.7175 data: 0.0052 max mem: 31630 Epoch: [22] [4790/5278] eta: 0:21:53 lr: 2.3261396156621382e-05 loss: 0.0608 (0.0638) loss_seg: 0.0603 (0.0633) loss_lansim: 0.0472 (0.0407) loss_contra: 0.0004 (0.0053) time: 2.7228 data: 0.0052 max mem: 31630 Epoch: [22] [4800/5278] eta: 0:21:26 lr: 2.3259075496342036e-05 loss: 0.0602 (0.0638) loss_seg: 0.0597 (0.0633) loss_lansim: 0.0466 (0.0407) loss_contra: 0.0004 (0.0053) time: 2.7165 data: 0.0052 max mem: 31630 Epoch: [22] [4810/5278] eta: 0:20:59 lr: 2.3256754810335463e-05 loss: 0.0608 (0.0638) loss_seg: 0.0603 (0.0633) loss_lansim: 0.0465 (0.0407) loss_contra: 0.0004 (0.0053) time: 2.7199 data: 0.0052 max mem: 31630 Epoch: [22] [4820/5278] eta: 0:20:32 lr: 2.325443409859853e-05 loss: 0.0601 (0.0638) loss_seg: 0.0596 (0.0633) loss_lansim: 0.0465 (0.0408) loss_contra: 0.0004 (0.0053) time: 2.7168 data: 0.0052 max mem: 31630 Epoch: [22] [4830/5278] eta: 0:20:06 lr: 2.3252113361128085e-05 loss: 0.0601 (0.0638) loss_seg: 0.0596 (0.0633) loss_lansim: 0.0463 (0.0408) loss_contra: 0.0004 (0.0053) time: 2.7140 data: 0.0052 max mem: 31630 Epoch: [22] [4840/5278] eta: 0:19:39 lr: 2.3249792597920998e-05 loss: 0.0599 (0.0638) loss_seg: 0.0594 (0.0633) loss_lansim: 0.0463 (0.0408) loss_contra: 0.0005 (0.0053) time: 2.7157 data: 0.0052 max mem: 31630 Epoch: [22] [4850/5278] eta: 0:19:12 lr: 2.3247471808974132e-05 loss: 0.0595 (0.0638) loss_seg: 0.0590 (0.0633) loss_lansim: 0.0449 (0.0408) loss_contra: 0.0006 (0.0053) time: 2.7106 data: 0.0052 max mem: 31630 Epoch: [22] [4860/5278] eta: 0:18:45 lr: 2.3245150994284342e-05 loss: 0.0608 (0.0638) loss_seg: 0.0603 (0.0634) loss_lansim: 0.0447 (0.0408) loss_contra: 0.0005 (0.0053) time: 2.7163 data: 0.0052 max mem: 31630 Epoch: [22] [4870/5278] eta: 0:18:18 lr: 2.3242830153848484e-05 loss: 0.0601 (0.0638) loss_seg: 0.0596 (0.0634) loss_lansim: 0.0442 (0.0408) loss_contra: 0.0006 (0.0052) time: 2.7107 data: 0.0052 max mem: 31630 Epoch: [22] [4880/5278] eta: 0:17:51 lr: 2.3240509287663414e-05 loss: 0.0586 (0.0638) loss_seg: 0.0582 (0.0634) loss_lansim: 0.0436 (0.0408) loss_contra: 0.0005 (0.0052) time: 2.7145 data: 0.0052 max mem: 31630 Epoch: [22] [4890/5278] eta: 0:17:24 lr: 2.3238188395725998e-05 loss: 0.0618 (0.0638) loss_seg: 0.0611 (0.0634) loss_lansim: 0.0436 (0.0408) loss_contra: 0.0006 (0.0054) time: 2.7158 data: 0.0052 max mem: 31630 Epoch: [22] [4900/5278] eta: 0:16:57 lr: 2.3235867478033095e-05 loss: 0.0616 (0.0638) loss_seg: 0.0610 (0.0634) loss_lansim: 0.0436 (0.0408) loss_contra: 0.0007 (0.0054) time: 2.7189 data: 0.0052 max mem: 31630 Epoch: [22] [4910/5278] eta: 0:16:30 lr: 2.3233546534581544e-05 loss: 0.0606 (0.0638) loss_seg: 0.0602 (0.0634) loss_lansim: 0.0439 (0.0408) loss_contra: 0.0007 (0.0054) time: 2.7198 data: 0.0052 max mem: 31630 Epoch: [22] [4920/5278] eta: 0:16:03 lr: 2.323122556536821e-05 loss: 0.0599 (0.0638) loss_seg: 0.0592 (0.0633) loss_lansim: 0.0437 (0.0408) loss_contra: 0.0008 (0.0054) time: 2.7247 data: 0.0052 max mem: 31630 Epoch: [22] [4930/5278] eta: 0:15:37 lr: 2.3228904570389952e-05 loss: 0.0616 (0.0639) loss_seg: 0.0611 (0.0634) loss_lansim: 0.0436 (0.0408) loss_contra: 0.0009 (0.0054) time: 2.7250 data: 0.0052 max mem: 31630 Epoch: [22] [4940/5278] eta: 0:15:10 lr: 2.322658354964362e-05 loss: 0.0601 (0.0639) loss_seg: 0.0592 (0.0634) loss_lansim: 0.0436 (0.0408) loss_contra: 0.0013 (0.0055) time: 2.7256 data: 0.0052 max mem: 31630 Epoch: [22] [4950/5278] eta: 0:14:43 lr: 2.322426250312606e-05 loss: 0.0628 (0.0639) loss_seg: 0.0621 (0.0634) loss_lansim: 0.0445 (0.0409) loss_contra: 0.0013 (0.0054) time: 2.7244 data: 0.0052 max mem: 31630 Epoch: [22] [4960/5278] eta: 0:14:16 lr: 2.3221941430834128e-05 loss: 0.0599 (0.0638) loss_seg: 0.0592 (0.0634) loss_lansim: 0.0448 (0.0409) loss_contra: 0.0014 (0.0054) time: 2.7199 data: 0.0052 max mem: 31630 Epoch: [22] [4970/5278] eta: 0:13:49 lr: 2.321962033276468e-05 loss: 0.0596 (0.0638) loss_seg: 0.0590 (0.0634) loss_lansim: 0.0453 (0.0409) loss_contra: 0.0013 (0.0054) time: 2.7245 data: 0.0052 max mem: 31630 Epoch: [22] [4980/5278] eta: 0:13:22 lr: 2.3217299208914567e-05 loss: 0.0611 (0.0639) loss_seg: 0.0599 (0.0634) loss_lansim: 0.0465 (0.0409) loss_contra: 0.0015 (0.0054) time: 2.7205 data: 0.0052 max mem: 31630 Epoch: [22] [4990/5278] eta: 0:12:55 lr: 2.3214978059280628e-05 loss: 0.0599 (0.0639) loss_seg: 0.0595 (0.0634) loss_lansim: 0.0468 (0.0409) loss_contra: 0.0015 (0.0055) time: 2.7189 data: 0.0052 max mem: 31630 Epoch: [22] [5000/5278] eta: 0:12:28 lr: 2.3212656883859722e-05 loss: 0.0605 (0.0639) loss_seg: 0.0597 (0.0634) loss_lansim: 0.0472 (0.0409) loss_contra: 0.0012 (0.0055) time: 2.7155 data: 0.0052 max mem: 31630 Epoch: [22] [5010/5278] eta: 0:12:01 lr: 2.321033568264869e-05 loss: 0.0594 (0.0639) loss_seg: 0.0590 (0.0634) loss_lansim: 0.0472 (0.0410) loss_contra: 0.0011 (0.0055) time: 2.7127 data: 0.0052 max mem: 31630 Epoch: [22] [5020/5278] eta: 0:11:34 lr: 2.3208014455644393e-05 loss: 0.0594 (0.0639) loss_seg: 0.0590 (0.0634) loss_lansim: 0.0477 (0.0410) loss_contra: 0.0011 (0.0055) time: 2.7086 data: 0.0052 max mem: 31630 Epoch: [22] [5030/5278] eta: 0:11:07 lr: 2.320569320284366e-05 loss: 0.0596 (0.0639) loss_seg: 0.0591 (0.0634) loss_lansim: 0.0489 (0.0410) loss_contra: 0.0011 (0.0055) time: 2.7046 data: 0.0052 max mem: 31630 Epoch: [22] [5040/5278] eta: 0:10:40 lr: 2.320337192424335e-05 loss: 0.0602 (0.0639) loss_seg: 0.0597 (0.0634) loss_lansim: 0.0492 (0.0410) loss_contra: 0.0010 (0.0055) time: 2.7024 data: 0.0052 max mem: 31630 Epoch: [22] [5050/5278] eta: 0:10:14 lr: 2.32010506198403e-05 loss: 0.0576 (0.0639) loss_seg: 0.0571 (0.0634) loss_lansim: 0.0494 (0.0411) loss_contra: 0.0009 (0.0055) time: 2.7020 data: 0.0052 max mem: 31630 Epoch: [22] [5060/5278] eta: 0:09:47 lr: 2.3198729289631364e-05 loss: 0.0576 (0.0639) loss_seg: 0.0571 (0.0634) loss_lansim: 0.0501 (0.0411) loss_contra: 0.0009 (0.0055) time: 2.6999 data: 0.0052 max mem: 31630 Epoch: [22] [5070/5278] eta: 0:09:20 lr: 2.3196407933613382e-05 loss: 0.0576 (0.0639) loss_seg: 0.0571 (0.0634) loss_lansim: 0.0501 (0.0411) loss_contra: 0.0008 (0.0055) time: 2.6942 data: 0.0052 max mem: 31630 Epoch: [22] [5080/5278] eta: 0:08:53 lr: 2.319408655178319e-05 loss: 0.0558 (0.0639) loss_seg: 0.0553 (0.0634) loss_lansim: 0.0506 (0.0411) loss_contra: 0.0010 (0.0055) time: 2.6935 data: 0.0052 max mem: 31630 Epoch: [22] [5090/5278] eta: 0:08:26 lr: 2.3191765144137643e-05 loss: 0.0550 (0.0639) loss_seg: 0.0544 (0.0634) loss_lansim: 0.0515 (0.0412) loss_contra: 0.0009 (0.0055) time: 2.6903 data: 0.0052 max mem: 31630 Epoch: [22] [5100/5278] eta: 0:07:59 lr: 2.318944371067357e-05 loss: 0.0557 (0.0639) loss_seg: 0.0551 (0.0634) loss_lansim: 0.0508 (0.0412) loss_contra: 0.0009 (0.0055) time: 2.6928 data: 0.0052 max mem: 31630 Epoch: [22] [5110/5278] eta: 0:07:32 lr: 2.3187122251387826e-05 loss: 0.0557 (0.0639) loss_seg: 0.0551 (0.0634) loss_lansim: 0.0506 (0.0412) loss_contra: 0.0010 (0.0055) time: 2.6871 data: 0.0052 max mem: 31630 Epoch: [22] [5120/5278] eta: 0:07:05 lr: 2.318480076627724e-05 loss: 0.0558 (0.0639) loss_seg: 0.0553 (0.0634) loss_lansim: 0.0506 (0.0412) loss_contra: 0.0009 (0.0055) time: 2.6883 data: 0.0052 max mem: 31630 Epoch: [22] [5130/5278] eta: 0:06:38 lr: 2.3182479255338654e-05 loss: 0.0557 (0.0639) loss_seg: 0.0552 (0.0634) loss_lansim: 0.0514 (0.0412) loss_contra: 0.0009 (0.0055) time: 2.6904 data: 0.0053 max mem: 31630 Epoch: [22] [5140/5278] eta: 0:06:11 lr: 2.3180157718568906e-05 loss: 0.0557 (0.0639) loss_seg: 0.0551 (0.0634) loss_lansim: 0.0514 (0.0413) loss_contra: 0.0010 (0.0055) time: 2.6899 data: 0.0053 max mem: 31630 Epoch: [22] [5150/5278] eta: 0:05:44 lr: 2.3177836155964843e-05 loss: 0.0558 (0.0639) loss_seg: 0.0553 (0.0634) loss_lansim: 0.0508 (0.0413) loss_contra: 0.0009 (0.0055) time: 2.6898 data: 0.0053 max mem: 31630 Epoch: [22] [5160/5278] eta: 0:05:17 lr: 2.317551456752329e-05 loss: 0.0567 (0.0639) loss_seg: 0.0561 (0.0634) loss_lansim: 0.0501 (0.0413) loss_contra: 0.0009 (0.0055) time: 2.6921 data: 0.0053 max mem: 31630 Epoch: [22] [5170/5278] eta: 0:04:50 lr: 2.317319295324109e-05 loss: 0.0565 (0.0639) loss_seg: 0.0559 (0.0634) loss_lansim: 0.0500 (0.0413) loss_contra: 0.0009 (0.0055) time: 2.6927 data: 0.0053 max mem: 31630 Epoch: [22] [5180/5278] eta: 0:04:23 lr: 2.3170871313115073e-05 loss: 0.0568 (0.0639) loss_seg: 0.0563 (0.0634) loss_lansim: 0.0497 (0.0413) loss_contra: 0.0009 (0.0055) time: 2.6944 data: 0.0053 max mem: 31630 Epoch: [22] [5190/5278] eta: 0:03:56 lr: 2.3168549647142087e-05 loss: 0.0568 (0.0639) loss_seg: 0.0563 (0.0634) loss_lansim: 0.0495 (0.0414) loss_contra: 0.0006 (0.0055) time: 2.6937 data: 0.0052 max mem: 31630 Epoch: [22] [5200/5278] eta: 0:03:30 lr: 2.316622795531895e-05 loss: 0.0589 (0.0640) loss_seg: 0.0582 (0.0635) loss_lansim: 0.0501 (0.0414) loss_contra: 0.0006 (0.0055) time: 2.6964 data: 0.0053 max mem: 31630 Epoch: [22] [5210/5278] eta: 0:03:03 lr: 2.3163906237642507e-05 loss: 0.0593 (0.0639) loss_seg: 0.0587 (0.0635) loss_lansim: 0.0519 (0.0414) loss_contra: 0.0006 (0.0055) time: 2.7007 data: 0.0053 max mem: 31630 Epoch: [22] [5220/5278] eta: 0:02:36 lr: 2.3161584494109587e-05 loss: 0.0593 (0.0640) loss_seg: 0.0587 (0.0635) loss_lansim: 0.0530 (0.0415) loss_contra: 0.0006 (0.0055) time: 2.6978 data: 0.0053 max mem: 31630 Epoch: [22] [5230/5278] eta: 0:02:09 lr: 2.3159262724717025e-05 loss: 0.0576 (0.0639) loss_seg: 0.0570 (0.0635) loss_lansim: 0.0546 (0.0415) loss_contra: 0.0006 (0.0055) time: 2.7012 data: 0.0053 max mem: 31630 Epoch: [22] [5240/5278] eta: 0:01:42 lr: 2.3156940929461645e-05 loss: 0.0587 (0.0639) loss_seg: 0.0581 (0.0635) loss_lansim: 0.0559 (0.0416) loss_contra: 0.0005 (0.0055) time: 2.7007 data: 0.0053 max mem: 31630 Epoch: [22] [5250/5278] eta: 0:01:15 lr: 2.3154619108340283e-05 loss: 0.0593 (0.0639) loss_seg: 0.0587 (0.0635) loss_lansim: 0.0597 (0.0416) loss_contra: 0.0005 (0.0055) time: 2.7036 data: 0.0053 max mem: 31630 Epoch: [22] [5260/5278] eta: 0:00:48 lr: 2.315229726134977e-05 loss: 0.0599 (0.0640) loss_seg: 0.0593 (0.0635) loss_lansim: 0.0635 (0.0417) loss_contra: 0.0005 (0.0055) time: 2.7039 data: 0.0053 max mem: 31630 Epoch: [22] [5270/5278] eta: 0:00:21 lr: 2.314997538848694e-05 loss: 0.0616 (0.0640) loss_seg: 0.0609 (0.0635) loss_lansim: 0.0644 (0.0417) loss_contra: 0.0005 (0.0055) time: 2.7051 data: 0.0053 max mem: 31630 Epoch: [22] Total time: 3:56:55 Test: [ 0/2573] eta: 0:59:23 time: 1.3850 data: 1.1775 max mem: 31630 Test: [ 100/2573] eta: 0:06:09 time: 0.1371 data: 0.0013 max mem: 31630 Test: [ 200/2573] eta: 0:05:46 time: 0.1425 data: 0.0014 max mem: 31630 Test: [ 300/2573] eta: 0:05:25 time: 0.1377 data: 0.0014 max mem: 31630 Test: [ 400/2573] eta: 0:05:09 time: 0.1400 data: 0.0014 max mem: 31630 Test: [ 500/2573] eta: 0:04:54 time: 0.1409 data: 0.0014 max mem: 31630 Test: [ 600/2573] eta: 0:04:40 time: 0.1425 data: 0.0014 max mem: 31630 Test: [ 700/2573] eta: 0:04:27 time: 0.1462 data: 0.0014 max mem: 31630 Test: [ 800/2573] eta: 0:04:13 time: 0.1434 data: 0.0014 max mem: 31630 Test: [ 900/2573] eta: 0:03:59 time: 0.1436 data: 0.0014 max mem: 31630 Test: [1000/2573] eta: 0:03:44 time: 0.1420 data: 0.0014 max mem: 31630 Test: [1100/2573] eta: 0:03:30 time: 0.1419 data: 0.0014 max mem: 31630 Test: [1200/2573] eta: 0:03:16 time: 0.1442 data: 0.0014 max mem: 31630 Test: [1300/2573] eta: 0:03:01 time: 0.1430 data: 0.0015 max mem: 31630 Test: [1400/2573] eta: 0:02:47 time: 0.1390 data: 0.0014 max mem: 31630 Test: [1500/2573] eta: 0:02:33 time: 0.1432 data: 0.0014 max mem: 31630 Test: [1600/2573] eta: 0:02:18 time: 0.1427 data: 0.0015 max mem: 31630 Test: [1700/2573] eta: 0:02:04 time: 0.1432 data: 0.0015 max mem: 31630 Test: [1800/2573] eta: 0:01:50 time: 0.1404 data: 0.0015 max mem: 31630 Test: [1900/2573] eta: 0:01:35 time: 0.1390 data: 0.0015 max mem: 31630 Test: [2000/2573] eta: 0:01:21 time: 0.1389 data: 0.0015 max mem: 31630 Test: [2100/2573] eta: 0:01:07 time: 0.1435 data: 0.0015 max mem: 31630 Test: [2200/2573] eta: 0:00:52 time: 0.1381 data: 0.0014 max mem: 31630 Test: [2300/2573] eta: 0:00:38 time: 0.1432 data: 0.0014 max mem: 31630 Test: [2400/2573] eta: 0:00:24 time: 0.1411 data: 0.0014 max mem: 31630 Test: [2500/2573] eta: 0:00:10 time: 0.1432 data: 0.0014 max mem: 31630 Test: Total time: 0:06:06 Final results: precision@0.5 = 65.99 precision@0.6 = 61.07 precision@0.7 = 53.90 precision@0.8 = 42.63 precision@0.9 = 20.32 overall IoU = 57.52 mean IoU = 58.16 Epoch: [23] [ 0/5278] eta: 6:05:24 lr: 2.314811787156646e-05 loss: 0.0904 (0.0904) loss_seg: 0.0897 (0.0897) loss_lansim: 0.0675 (0.0675) loss_contra: 0.0052 (0.0052) time: 4.1540 data: 1.2810 max mem: 31630 Epoch: [23] [ 10/5278] eta: 4:11:01 lr: 2.314579595212545e-05 loss: 0.0640 (0.0624) loss_seg: 0.0632 (0.0617) loss_lansim: 0.0644 (0.0662) loss_contra: 0.0006 (0.0033) time: 2.8591 data: 0.1215 max mem: 31630 Epoch: [23] [ 20/5278] eta: 4:02:52 lr: 2.314347400680323e-05 loss: 0.0640 (0.0660) loss_seg: 0.0632 (0.0654) loss_lansim: 0.0651 (0.0658) loss_contra: 0.0013 (0.0036) time: 2.7715 data: 0.0661 max mem: 31630 Epoch: [23] [ 30/5278] eta: 4:00:38 lr: 2.3141152035596634e-05 loss: 0.0598 (0.0619) loss_seg: 0.0591 (0.0612) loss_lansim: 0.0655 (0.0668) loss_contra: 0.0012 (0.0032) time: 2.7512 data: 0.0466 max mem: 31630 Epoch: [23] [ 40/5278] eta: 3:59:01 lr: 2.313883003850248e-05 loss: 0.0598 (0.0599) loss_seg: 0.0589 (0.0592) loss_lansim: 0.0665 (0.0670) loss_contra: 0.0006 (0.0027) time: 2.7380 data: 0.0366 max mem: 31630 Epoch: [23] [ 50/5278] eta: 3:57:54 lr: 2.3136508015517606e-05 loss: 0.0589 (0.0595) loss_seg: 0.0582 (0.0588) loss_lansim: 0.0655 (0.0666) loss_contra: 0.0006 (0.0023) time: 2.7305 data: 0.0306 max mem: 31630 Epoch: [23] [ 60/5278] eta: 3:56:41 lr: 2.313418596663882e-05 loss: 0.0588 (0.0605) loss_seg: 0.0580 (0.0598) loss_lansim: 0.0655 (0.0666) loss_contra: 0.0005 (0.0021) time: 2.7216 data: 0.0265 max mem: 31630 Epoch: [23] [ 70/5278] eta: 3:55:57 lr: 2.313186389186295e-05 loss: 0.0588 (0.0633) loss_seg: 0.0580 (0.0626) loss_lansim: 0.0647 (0.0660) loss_contra: 0.0005 (0.0018) time: 2.7185 data: 0.0235 max mem: 31630 Epoch: [23] [ 80/5278] eta: 3:55:08 lr: 2.312954179118682e-05 loss: 0.0578 (0.0627) loss_seg: 0.0572 (0.0619) loss_lansim: 0.0671 (0.0677) loss_contra: 0.0005 (0.0039) time: 2.7142 data: 0.0213 max mem: 31630 Epoch: [23] [ 90/5278] eta: 3:54:36 lr: 2.3127219664607254e-05 loss: 0.0562 (0.0636) loss_seg: 0.0557 (0.0629) loss_lansim: 0.0675 (0.0700) loss_contra: 0.0006 (0.0049) time: 2.7133 data: 0.0196 max mem: 31630 Epoch: [23] [ 100/5278] eta: 3:53:57 lr: 2.312489751212108e-05 loss: 0.0562 (0.0635) loss_seg: 0.0555 (0.0627) loss_lansim: 0.0701 (0.0722) loss_contra: 0.0006 (0.0050) time: 2.6966 data: 0.0055 max mem: 31630 Epoch: [23] [ 110/5278] eta: 3:53:22 lr: 2.3122575333725106e-05 loss: 0.0547 (0.0629) loss_seg: 0.0538 (0.0621) loss_lansim: 0.0720 (0.0731) loss_contra: 0.0007 (0.0049) time: 2.6929 data: 0.0055 max mem: 31630 Epoch: [23] [ 120/5278] eta: 3:52:53 lr: 2.312025312941615e-05 loss: 0.0545 (0.0624) loss_seg: 0.0537 (0.0615) loss_lansim: 0.0757 (0.0744) loss_contra: 0.0008 (0.0075) time: 2.6961 data: 0.0056 max mem: 31630 Epoch: [23] [ 130/5278] eta: 3:52:10 lr: 2.311793089919104e-05 loss: 0.0545 (0.0629) loss_seg: 0.0537 (0.0621) loss_lansim: 0.0773 (0.0755) loss_contra: 0.0009 (0.0074) time: 2.6920 data: 0.0056 max mem: 31630 Epoch: [23] [ 140/5278] eta: 3:51:41 lr: 2.3115608643046595e-05 loss: 0.0547 (0.0630) loss_seg: 0.0538 (0.0621) loss_lansim: 0.0792 (0.0761) loss_contra: 0.0010 (0.0073) time: 2.6923 data: 0.0056 max mem: 31630 Epoch: [23] [ 150/5278] eta: 3:51:08 lr: 2.3113286360979624e-05 loss: 0.0557 (0.0631) loss_seg: 0.0547 (0.0622) loss_lansim: 0.0807 (0.0764) loss_contra: 0.0012 (0.0079) time: 2.6911 data: 0.0055 max mem: 31630 Epoch: [23] [ 160/5278] eta: 3:50:28 lr: 2.311096405298695e-05 loss: 0.0547 (0.0629) loss_seg: 0.0538 (0.0621) loss_lansim: 0.0811 (0.0766) loss_contra: 0.0014 (0.0076) time: 2.6898 data: 0.0055 max mem: 31630 Epoch: [23] [ 170/5278] eta: 3:50:01 lr: 2.310864171906538e-05 loss: 0.0545 (0.0623) loss_seg: 0.0537 (0.0614) loss_lansim: 0.0817 (0.0768) loss_contra: 0.0022 (0.0075) time: 2.6903 data: 0.0054 max mem: 31630 Epoch: [23] [ 180/5278] eta: 3:49:32 lr: 2.310631935921175e-05 loss: 0.0543 (0.0623) loss_seg: 0.0533 (0.0615) loss_lansim: 0.0823 (0.0770) loss_contra: 0.0021 (0.0077) time: 2.6912 data: 0.0054 max mem: 31630 Epoch: [23] [ 190/5278] eta: 3:48:58 lr: 2.310399697342285e-05 loss: 0.0531 (0.0623) loss_seg: 0.0523 (0.0615) loss_lansim: 0.0808 (0.0770) loss_contra: 0.0018 (0.0074) time: 2.6883 data: 0.0054 max mem: 31630 Epoch: [23] [ 200/5278] eta: 3:48:37 lr: 2.3101674561695504e-05 loss: 0.0520 (0.0623) loss_seg: 0.0514 (0.0615) loss_lansim: 0.0802 (0.0771) loss_contra: 0.0017 (0.0072) time: 2.6914 data: 0.0054 max mem: 31630 Epoch: [23] [ 210/5278] eta: 3:48:09 lr: 2.3099352124026528e-05 loss: 0.0517 (0.0624) loss_seg: 0.0508 (0.0616) loss_lansim: 0.0803 (0.0773) loss_contra: 0.0015 (0.0071) time: 2.6922 data: 0.0054 max mem: 31630 Epoch: [23] [ 220/5278] eta: 3:47:42 lr: 2.3097029660412733e-05 loss: 0.0514 (0.0626) loss_seg: 0.0506 (0.0618) loss_lansim: 0.0798 (0.0774) loss_contra: 0.0014 (0.0069) time: 2.6914 data: 0.0054 max mem: 31630 Epoch: [23] [ 230/5278] eta: 3:47:19 lr: 2.3094707170850923e-05 loss: 0.0517 (0.0625) loss_seg: 0.0508 (0.0616) loss_lansim: 0.0793 (0.0775) loss_contra: 0.0014 (0.0068) time: 2.6967 data: 0.0053 max mem: 31630 Epoch: [23] [ 240/5278] eta: 3:46:46 lr: 2.3092384655337915e-05 loss: 0.0532 (0.0632) loss_seg: 0.0523 (0.0623) loss_lansim: 0.0788 (0.0773) loss_contra: 0.0015 (0.0070) time: 2.6941 data: 0.0054 max mem: 31630 Epoch: [23] [ 250/5278] eta: 3:46:24 lr: 2.309006211387052e-05 loss: 0.0549 (0.0632) loss_seg: 0.0542 (0.0624) loss_lansim: 0.0787 (0.0774) loss_contra: 0.0014 (0.0069) time: 2.6980 data: 0.0054 max mem: 31630 Epoch: [23] [ 260/5278] eta: 3:45:55 lr: 2.308773954644555e-05 loss: 0.0558 (0.0639) loss_seg: 0.0551 (0.0631) loss_lansim: 0.0786 (0.0773) loss_contra: 0.0014 (0.0079) time: 2.7005 data: 0.0054 max mem: 31630 Epoch: [23] [ 270/5278] eta: 3:45:31 lr: 2.3085416953059803e-05 loss: 0.0582 (0.0642) loss_seg: 0.0574 (0.0633) loss_lansim: 0.0780 (0.0772) loss_contra: 0.0013 (0.0077) time: 2.7019 data: 0.0055 max mem: 31630 Epoch: [23] [ 280/5278] eta: 3:45:02 lr: 2.308309433371009e-05 loss: 0.0595 (0.0644) loss_seg: 0.0586 (0.0635) loss_lansim: 0.0769 (0.0771) loss_contra: 0.0012 (0.0076) time: 2.7018 data: 0.0055 max mem: 31630 Epoch: [23] [ 290/5278] eta: 3:44:36 lr: 2.3080771688393222e-05 loss: 0.0605 (0.0641) loss_seg: 0.0597 (0.0633) loss_lansim: 0.0765 (0.0770) loss_contra: 0.0015 (0.0075) time: 2.7046 data: 0.0055 max mem: 31630 Epoch: [23] [ 300/5278] eta: 3:44:14 lr: 2.3078449017106006e-05 loss: 0.0608 (0.0642) loss_seg: 0.0601 (0.0633) loss_lansim: 0.0758 (0.0768) loss_contra: 0.0015 (0.0078) time: 2.7056 data: 0.0055 max mem: 31630 Epoch: [23] [ 310/5278] eta: 3:43:43 lr: 2.3076126319845243e-05 loss: 0.0613 (0.0642) loss_seg: 0.0605 (0.0634) loss_lansim: 0.0745 (0.0766) loss_contra: 0.0019 (0.0076) time: 2.7036 data: 0.0054 max mem: 31630 Epoch: [23] [ 320/5278] eta: 3:43:16 lr: 2.307380359660774e-05 loss: 0.0605 (0.0640) loss_seg: 0.0597 (0.0632) loss_lansim: 0.0728 (0.0763) loss_contra: 0.0016 (0.0074) time: 2.7038 data: 0.0054 max mem: 31630 Epoch: [23] [ 330/5278] eta: 3:42:50 lr: 2.3071480847390296e-05 loss: 0.0613 (0.0641) loss_seg: 0.0605 (0.0633) loss_lansim: 0.0720 (0.0761) loss_contra: 0.0014 (0.0073) time: 2.7030 data: 0.0053 max mem: 31630 Epoch: [23] [ 340/5278] eta: 3:42:21 lr: 2.3069158072189722e-05 loss: 0.0598 (0.0638) loss_seg: 0.0591 (0.0630) loss_lansim: 0.0720 (0.0759) loss_contra: 0.0012 (0.0072) time: 2.7044 data: 0.0053 max mem: 31630 Epoch: [23] [ 350/5278] eta: 3:42:22 lr: 2.3066835271002825e-05 loss: 0.0565 (0.0637) loss_seg: 0.0557 (0.0629) loss_lansim: 0.0716 (0.0757) loss_contra: 0.0012 (0.0072) time: 2.7219 data: 0.0052 max mem: 31630 Epoch: [23] [ 360/5278] eta: 3:42:12 lr: 2.3064512443826388e-05 loss: 0.0562 (0.0635) loss_seg: 0.0556 (0.0627) loss_lansim: 0.0708 (0.0755) loss_contra: 0.0011 (0.0070) time: 2.7362 data: 0.0052 max mem: 31630 Epoch: [23] [ 370/5278] eta: 3:42:11 lr: 2.3062189590657224e-05 loss: 0.0558 (0.0634) loss_seg: 0.0550 (0.0625) loss_lansim: 0.0708 (0.0754) loss_contra: 0.0011 (0.0071) time: 2.7554 data: 0.0052 max mem: 31630 Epoch: [23] [ 380/5278] eta: 3:42:04 lr: 2.305986671149213e-05 loss: 0.0556 (0.0633) loss_seg: 0.0548 (0.0625) loss_lansim: 0.0704 (0.0754) loss_contra: 0.0010 (0.0071) time: 2.7735 data: 0.0053 max mem: 31630 Epoch: [23] [ 390/5278] eta: 3:41:33 lr: 2.3057543806327917e-05 loss: 0.0550 (0.0633) loss_seg: 0.0543 (0.0625) loss_lansim: 0.0703 (0.0752) loss_contra: 0.0009 (0.0070) time: 2.7720 data: 0.0053 max mem: 31630 Epoch: [23] [ 400/5278] eta: 3:41:02 lr: 2.3055220875161364e-05 loss: 0.0546 (0.0630) loss_seg: 0.0538 (0.0622) loss_lansim: 0.0700 (0.0750) loss_contra: 0.0007 (0.0069) time: 2.7678 data: 0.0053 max mem: 31630 Epoch: [23] [ 410/5278] eta: 3:40:37 lr: 2.3052897917989283e-05 loss: 0.0550 (0.0629) loss_seg: 0.0543 (0.0621) loss_lansim: 0.0692 (0.0748) loss_contra: 0.0009 (0.0068) time: 2.7730 data: 0.0054 max mem: 31630 Epoch: [23] [ 420/5278] eta: 3:40:07 lr: 2.3050574934808462e-05 loss: 0.0555 (0.0629) loss_seg: 0.0547 (0.0621) loss_lansim: 0.0693 (0.0746) loss_contra: 0.0009 (0.0068) time: 2.7722 data: 0.0055 max mem: 31630 Epoch: [23] [ 430/5278] eta: 3:39:38 lr: 2.3048251925615714e-05 loss: 0.0550 (0.0626) loss_seg: 0.0543 (0.0617) loss_lansim: 0.0692 (0.0745) loss_contra: 0.0007 (0.0067) time: 2.7711 data: 0.0056 max mem: 31630 Epoch: [23] [ 440/5278] eta: 3:39:09 lr: 2.3045928890407813e-05 loss: 0.0550 (0.0624) loss_seg: 0.0543 (0.0616) loss_lansim: 0.0686 (0.0744) loss_contra: 0.0007 (0.0066) time: 2.7728 data: 0.0056 max mem: 31630 Epoch: [23] [ 450/5278] eta: 3:38:37 lr: 2.3043605829181563e-05 loss: 0.0546 (0.0622) loss_seg: 0.0538 (0.0614) loss_lansim: 0.0679 (0.0742) loss_contra: 0.0007 (0.0066) time: 2.7497 data: 0.0056 max mem: 31630 Epoch: [23] [ 460/5278] eta: 3:38:07 lr: 2.3041282741933763e-05 loss: 0.0532 (0.0619) loss_seg: 0.0524 (0.0611) loss_lansim: 0.0679 (0.0740) loss_contra: 0.0010 (0.0067) time: 2.7357 data: 0.0056 max mem: 31630 Epoch: [23] [ 470/5278] eta: 3:37:42 lr: 2.30389596286612e-05 loss: 0.0545 (0.0623) loss_seg: 0.0538 (0.0614) loss_lansim: 0.0673 (0.0738) loss_contra: 0.0007 (0.0066) time: 2.7188 data: 0.0055 max mem: 31630 Epoch: [23] [ 480/5278] eta: 3:37:13 lr: 2.3036636489360672e-05 loss: 0.0545 (0.0623) loss_seg: 0.0538 (0.0615) loss_lansim: 0.0662 (0.0737) loss_contra: 0.0007 (0.0066) time: 2.7015 data: 0.0054 max mem: 31630 Epoch: [23] [ 490/5278] eta: 3:36:43 lr: 2.3034313324028964e-05 loss: 0.0542 (0.0622) loss_seg: 0.0535 (0.0614) loss_lansim: 0.0661 (0.0736) loss_contra: 0.0007 (0.0064) time: 2.7008 data: 0.0053 max mem: 31630 Epoch: [23] [ 500/5278] eta: 3:36:13 lr: 2.3031990132662875e-05 loss: 0.0542 (0.0622) loss_seg: 0.0535 (0.0614) loss_lansim: 0.0675 (0.0736) loss_contra: 0.0007 (0.0064) time: 2.7001 data: 0.0053 max mem: 31630 Epoch: [23] [ 510/5278] eta: 3:35:46 lr: 2.302966691525919e-05 loss: 0.0542 (0.0627) loss_seg: 0.0535 (0.0619) loss_lansim: 0.0673 (0.0735) loss_contra: 0.0006 (0.0064) time: 2.6993 data: 0.0052 max mem: 31630 Epoch: [23] [ 520/5278] eta: 3:35:17 lr: 2.3027343671814695e-05 loss: 0.0539 (0.0628) loss_seg: 0.0532 (0.0620) loss_lansim: 0.0675 (0.0734) loss_contra: 0.0007 (0.0064) time: 2.6993 data: 0.0051 max mem: 31630 Epoch: [23] [ 530/5278] eta: 3:34:48 lr: 2.3025020402326188e-05 loss: 0.0539 (0.0627) loss_seg: 0.0532 (0.0619) loss_lansim: 0.0673 (0.0734) loss_contra: 0.0006 (0.0063) time: 2.6987 data: 0.0051 max mem: 31630 Epoch: [23] [ 540/5278] eta: 3:34:20 lr: 2.302269710679045e-05 loss: 0.0542 (0.0625) loss_seg: 0.0535 (0.0617) loss_lansim: 0.0688 (0.0733) loss_contra: 0.0007 (0.0064) time: 2.6980 data: 0.0050 max mem: 31630 Epoch: [23] [ 550/5278] eta: 3:33:51 lr: 2.302037378520428e-05 loss: 0.0539 (0.0625) loss_seg: 0.0532 (0.0617) loss_lansim: 0.0694 (0.0733) loss_contra: 0.0007 (0.0064) time: 2.7009 data: 0.0050 max mem: 31630 Epoch: [23] [ 560/5278] eta: 3:33:23 lr: 2.3018050437564446e-05 loss: 0.0588 (0.0624) loss_seg: 0.0581 (0.0616) loss_lansim: 0.0695 (0.0733) loss_contra: 0.0005 (0.0063) time: 2.7020 data: 0.0050 max mem: 31630 Epoch: [23] [ 570/5278] eta: 3:32:54 lr: 2.3015727063867746e-05 loss: 0.0552 (0.0623) loss_seg: 0.0544 (0.0615) loss_lansim: 0.0706 (0.0733) loss_contra: 0.0005 (0.0063) time: 2.6972 data: 0.0050 max mem: 31630 Epoch: [23] [ 580/5278] eta: 3:32:25 lr: 2.3013403664110965e-05 loss: 0.0546 (0.0623) loss_seg: 0.0538 (0.0615) loss_lansim: 0.0710 (0.0732) loss_contra: 0.0005 (0.0063) time: 2.6954 data: 0.0050 max mem: 31630 Epoch: [23] [ 590/5278] eta: 3:31:59 lr: 2.301108023829088e-05 loss: 0.0541 (0.0621) loss_seg: 0.0534 (0.0613) loss_lansim: 0.0696 (0.0731) loss_contra: 0.0007 (0.0062) time: 2.7005 data: 0.0050 max mem: 31630 Epoch: [23] [ 600/5278] eta: 3:31:31 lr: 2.3008756786404286e-05 loss: 0.0551 (0.0621) loss_seg: 0.0539 (0.0613) loss_lansim: 0.0695 (0.0731) loss_contra: 0.0007 (0.0065) time: 2.7024 data: 0.0050 max mem: 31630 Epoch: [23] [ 610/5278] eta: 3:31:05 lr: 2.3006433308447957e-05 loss: 0.0546 (0.0619) loss_seg: 0.0538 (0.0611) loss_lansim: 0.0694 (0.0730) loss_contra: 0.0008 (0.0064) time: 2.7028 data: 0.0050 max mem: 31630 Epoch: [23] [ 620/5278] eta: 3:30:39 lr: 2.3004109804418676e-05 loss: 0.0532 (0.0618) loss_seg: 0.0526 (0.0610) loss_lansim: 0.0691 (0.0728) loss_contra: 0.0008 (0.0064) time: 2.7065 data: 0.0050 max mem: 31630 Epoch: [23] [ 630/5278] eta: 3:30:15 lr: 2.300178627431322e-05 loss: 0.0547 (0.0632) loss_seg: 0.0539 (0.0624) loss_lansim: 0.0686 (0.0727) loss_contra: 0.0009 (0.0063) time: 2.7126 data: 0.0050 max mem: 31630 Epoch: [23] [ 640/5278] eta: 3:29:49 lr: 2.2999462718128385e-05 loss: 0.0551 (0.0632) loss_seg: 0.0541 (0.0624) loss_lansim: 0.0683 (0.0726) loss_contra: 0.0008 (0.0063) time: 2.7148 data: 0.0050 max mem: 31630 Epoch: [23] [ 650/5278] eta: 3:29:24 lr: 2.2997139135860938e-05 loss: 0.0566 (0.0634) loss_seg: 0.0559 (0.0626) loss_lansim: 0.0683 (0.0726) loss_contra: 0.0010 (0.0071) time: 2.7202 data: 0.0050 max mem: 31630 Epoch: [23] [ 660/5278] eta: 3:28:57 lr: 2.299481552750766e-05 loss: 0.0577 (0.0636) loss_seg: 0.0569 (0.0628) loss_lansim: 0.0681 (0.0725) loss_contra: 0.0013 (0.0072) time: 2.7216 data: 0.0050 max mem: 31630 Epoch: [23] [ 670/5278] eta: 3:28:29 lr: 2.2992491893065328e-05 loss: 0.0566 (0.0633) loss_seg: 0.0559 (0.0625) loss_lansim: 0.0675 (0.0724) loss_contra: 0.0013 (0.0071) time: 2.7228 data: 0.0051 max mem: 31630 Epoch: [23] [ 680/5278] eta: 3:28:01 lr: 2.299016823253073e-05 loss: 0.0584 (0.0635) loss_seg: 0.0577 (0.0627) loss_lansim: 0.0665 (0.0722) loss_contra: 0.0014 (0.0072) time: 2.7248 data: 0.0051 max mem: 31630 Epoch: [23] [ 690/5278] eta: 3:27:35 lr: 2.2987844545900626e-05 loss: 0.0593 (0.0635) loss_seg: 0.0586 (0.0627) loss_lansim: 0.0661 (0.0721) loss_contra: 0.0015 (0.0071) time: 2.7235 data: 0.0051 max mem: 31630 Epoch: [23] [ 700/5278] eta: 3:27:09 lr: 2.29855208331718e-05 loss: 0.0590 (0.0635) loss_seg: 0.0582 (0.0627) loss_lansim: 0.0646 (0.0719) loss_contra: 0.0016 (0.0073) time: 2.7277 data: 0.0051 max mem: 31630 Epoch: [23] [ 710/5278] eta: 3:26:41 lr: 2.298319709434103e-05 loss: 0.0593 (0.0636) loss_seg: 0.0586 (0.0628) loss_lansim: 0.0640 (0.0717) loss_contra: 0.0018 (0.0073) time: 2.7250 data: 0.0051 max mem: 31630 Epoch: [23] [ 720/5278] eta: 3:26:15 lr: 2.298087332940509e-05 loss: 0.0625 (0.0636) loss_seg: 0.0618 (0.0629) loss_lansim: 0.0640 (0.0716) loss_contra: 0.0021 (0.0073) time: 2.7242 data: 0.0051 max mem: 31630 Epoch: [23] [ 730/5278] eta: 3:25:46 lr: 2.297854953836075e-05 loss: 0.0625 (0.0636) loss_seg: 0.0618 (0.0629) loss_lansim: 0.0625 (0.0714) loss_contra: 0.0021 (0.0074) time: 2.7182 data: 0.0051 max mem: 31630 Epoch: [23] [ 740/5278] eta: 3:25:20 lr: 2.2976225721204784e-05 loss: 0.0625 (0.0637) loss_seg: 0.0618 (0.0629) loss_lansim: 0.0618 (0.0713) loss_contra: 0.0022 (0.0073) time: 2.7189 data: 0.0051 max mem: 31630 Epoch: [23] [ 750/5278] eta: 3:24:54 lr: 2.2973901877933963e-05 loss: 0.0601 (0.0636) loss_seg: 0.0596 (0.0628) loss_lansim: 0.0612 (0.0711) loss_contra: 0.0021 (0.0073) time: 2.7166 data: 0.0052 max mem: 31630 Epoch: [23] [ 760/5278] eta: 3:24:27 lr: 2.2971578008545067e-05 loss: 0.0568 (0.0635) loss_seg: 0.0561 (0.0627) loss_lansim: 0.0604 (0.0710) loss_contra: 0.0020 (0.0073) time: 2.7169 data: 0.0053 max mem: 31630 Epoch: [23] [ 770/5278] eta: 3:24:01 lr: 2.296925411303485e-05 loss: 0.0593 (0.0635) loss_seg: 0.0586 (0.0627) loss_lansim: 0.0602 (0.0708) loss_contra: 0.0024 (0.0075) time: 2.7209 data: 0.0052 max mem: 31630 Epoch: [23] [ 780/5278] eta: 3:23:33 lr: 2.2966930191400095e-05 loss: 0.0565 (0.0633) loss_seg: 0.0557 (0.0626) loss_lansim: 0.0602 (0.0707) loss_contra: 0.0020 (0.0075) time: 2.7199 data: 0.0052 max mem: 31630 Epoch: [23] [ 790/5278] eta: 3:23:06 lr: 2.2964606243637572e-05 loss: 0.0552 (0.0633) loss_seg: 0.0546 (0.0625) loss_lansim: 0.0591 (0.0705) loss_contra: 0.0020 (0.0075) time: 2.7202 data: 0.0053 max mem: 31630 Epoch: [23] [ 800/5278] eta: 3:22:38 lr: 2.2962282269744045e-05 loss: 0.0544 (0.0632) loss_seg: 0.0537 (0.0625) loss_lansim: 0.0593 (0.0704) loss_contra: 0.0020 (0.0075) time: 2.7153 data: 0.0054 max mem: 31630 Epoch: [23] [ 810/5278] eta: 3:22:10 lr: 2.295995826971628e-05 loss: 0.0551 (0.0632) loss_seg: 0.0544 (0.0625) loss_lansim: 0.0595 (0.0703) loss_contra: 0.0020 (0.0074) time: 2.7143 data: 0.0054 max mem: 31630 Epoch: [23] [ 820/5278] eta: 3:21:43 lr: 2.295763424355104e-05 loss: 0.0550 (0.0634) loss_seg: 0.0544 (0.0626) loss_lansim: 0.0589 (0.0702) loss_contra: 0.0020 (0.0074) time: 2.7148 data: 0.0054 max mem: 31630 Epoch: [23] [ 830/5278] eta: 3:21:14 lr: 2.29553101912451e-05 loss: 0.0551 (0.0634) loss_seg: 0.0544 (0.0626) loss_lansim: 0.0591 (0.0700) loss_contra: 0.0020 (0.0073) time: 2.7138 data: 0.0054 max mem: 31630 Epoch: [23] [ 840/5278] eta: 3:20:48 lr: 2.295298611279522e-05 loss: 0.0551 (0.0634) loss_seg: 0.0544 (0.0627) loss_lansim: 0.0592 (0.0699) loss_contra: 0.0018 (0.0074) time: 2.7138 data: 0.0054 max mem: 31630 Epoch: [23] [ 850/5278] eta: 3:20:19 lr: 2.2950662008198177e-05 loss: 0.0554 (0.0636) loss_seg: 0.0547 (0.0628) loss_lansim: 0.0589 (0.0698) loss_contra: 0.0016 (0.0073) time: 2.7094 data: 0.0054 max mem: 31630 Epoch: [23] [ 860/5278] eta: 3:19:54 lr: 2.2948337877450713e-05 loss: 0.0556 (0.0637) loss_seg: 0.0550 (0.0629) loss_lansim: 0.0591 (0.0697) loss_contra: 0.0013 (0.0073) time: 2.7130 data: 0.0053 max mem: 31630 Epoch: [23] [ 870/5278] eta: 3:19:28 lr: 2.2946013720549606e-05 loss: 0.0554 (0.0636) loss_seg: 0.0548 (0.0628) loss_lansim: 0.0588 (0.0695) loss_contra: 0.0009 (0.0072) time: 2.7113 data: 0.0054 max mem: 31630 Epoch: [23] [ 880/5278] eta: 3:19:01 lr: 2.2943689537491613e-05 loss: 0.0571 (0.0636) loss_seg: 0.0565 (0.0629) loss_lansim: 0.0586 (0.0694) loss_contra: 0.0009 (0.0072) time: 2.7145 data: 0.0053 max mem: 31630 Epoch: [23] [ 890/5278] eta: 3:18:34 lr: 2.2941365328273502e-05 loss: 0.0583 (0.0637) loss_seg: 0.0576 (0.0629) loss_lansim: 0.0586 (0.0693) loss_contra: 0.0009 (0.0072) time: 2.7129 data: 0.0053 max mem: 31630 Epoch: [23] [ 900/5278] eta: 3:18:08 lr: 2.293904109289202e-05 loss: 0.0592 (0.0638) loss_seg: 0.0585 (0.0630) loss_lansim: 0.0586 (0.0692) loss_contra: 0.0008 (0.0071) time: 2.7190 data: 0.0052 max mem: 31630 Epoch: [23] [ 910/5278] eta: 3:17:40 lr: 2.293671683134394e-05 loss: 0.0596 (0.0638) loss_seg: 0.0589 (0.0630) loss_lansim: 0.0577 (0.0691) loss_contra: 0.0008 (0.0071) time: 2.7194 data: 0.0052 max mem: 31630 Epoch: [23] [ 920/5278] eta: 3:17:14 lr: 2.2934392543626017e-05 loss: 0.0584 (0.0637) loss_seg: 0.0579 (0.0629) loss_lansim: 0.0577 (0.0689) loss_contra: 0.0009 (0.0070) time: 2.7198 data: 0.0052 max mem: 31630 Epoch: [23] [ 930/5278] eta: 3:16:45 lr: 2.293206822973501e-05 loss: 0.0583 (0.0636) loss_seg: 0.0576 (0.0628) loss_lansim: 0.0576 (0.0688) loss_contra: 0.0009 (0.0070) time: 2.7200 data: 0.0052 max mem: 31630 Epoch: [23] [ 940/5278] eta: 3:16:20 lr: 2.2929743889667672e-05 loss: 0.0583 (0.0637) loss_seg: 0.0576 (0.0629) loss_lansim: 0.0571 (0.0686) loss_contra: 0.0009 (0.0069) time: 2.7216 data: 0.0052 max mem: 31630 Epoch: [23] [ 950/5278] eta: 3:15:52 lr: 2.2927419523420766e-05 loss: 0.0555 (0.0640) loss_seg: 0.0549 (0.0632) loss_lansim: 0.0571 (0.0685) loss_contra: 0.0009 (0.0070) time: 2.7241 data: 0.0052 max mem: 31630 Epoch: [23] [ 960/5278] eta: 3:15:25 lr: 2.292509513099104e-05 loss: 0.0555 (0.0639) loss_seg: 0.0549 (0.0632) loss_lansim: 0.0568 (0.0684) loss_contra: 0.0009 (0.0070) time: 2.7209 data: 0.0052 max mem: 31630 Epoch: [23] [ 970/5278] eta: 3:14:57 lr: 2.2922770712375266e-05 loss: 0.0555 (0.0639) loss_seg: 0.0549 (0.0632) loss_lansim: 0.0567 (0.0683) loss_contra: 0.0011 (0.0070) time: 2.7174 data: 0.0052 max mem: 31630 Epoch: [23] [ 980/5278] eta: 3:14:29 lr: 2.292044626757018e-05 loss: 0.0555 (0.0640) loss_seg: 0.0550 (0.0632) loss_lansim: 0.0566 (0.0681) loss_contra: 0.0011 (0.0069) time: 2.7151 data: 0.0051 max mem: 31630 Epoch: [23] [ 990/5278] eta: 3:14:03 lr: 2.2918121796572546e-05 loss: 0.0570 (0.0640) loss_seg: 0.0564 (0.0632) loss_lansim: 0.0568 (0.0680) loss_contra: 0.0011 (0.0069) time: 2.7170 data: 0.0051 max mem: 31630 Epoch: [23] [1000/5278] eta: 3:13:35 lr: 2.291579729937911e-05 loss: 0.0555 (0.0639) loss_seg: 0.0550 (0.0632) loss_lansim: 0.0566 (0.0679) loss_contra: 0.0010 (0.0068) time: 2.7123 data: 0.0051 max mem: 31630 Epoch: [23] [1010/5278] eta: 3:13:09 lr: 2.291347277598664e-05 loss: 0.0567 (0.0638) loss_seg: 0.0561 (0.0631) loss_lansim: 0.0562 (0.0678) loss_contra: 0.0009 (0.0070) time: 2.7151 data: 0.0051 max mem: 31630 Epoch: [23] [1020/5278] eta: 3:12:41 lr: 2.2911148226391866e-05 loss: 0.0572 (0.0638) loss_seg: 0.0567 (0.0631) loss_lansim: 0.0562 (0.0677) loss_contra: 0.0008 (0.0070) time: 2.7131 data: 0.0051 max mem: 31630 Epoch: [23] [1030/5278] eta: 3:12:15 lr: 2.290882365059155e-05 loss: 0.0572 (0.0637) loss_seg: 0.0567 (0.0630) loss_lansim: 0.0567 (0.0676) loss_contra: 0.0007 (0.0070) time: 2.7187 data: 0.0051 max mem: 31630 Epoch: [23] [1040/5278] eta: 3:11:47 lr: 2.2906499048582438e-05 loss: 0.0567 (0.0636) loss_seg: 0.0561 (0.0629) loss_lansim: 0.0567 (0.0675) loss_contra: 0.0007 (0.0069) time: 2.7139 data: 0.0051 max mem: 31630 Epoch: [23] [1050/5278] eta: 3:11:21 lr: 2.2904174420361292e-05 loss: 0.0557 (0.0636) loss_seg: 0.0551 (0.0629) loss_lansim: 0.0564 (0.0674) loss_contra: 0.0007 (0.0069) time: 2.7157 data: 0.0052 max mem: 31630 Epoch: [23] [1060/5278] eta: 3:10:54 lr: 2.2901849765924842e-05 loss: 0.0556 (0.0635) loss_seg: 0.0550 (0.0628) loss_lansim: 0.0565 (0.0673) loss_contra: 0.0008 (0.0068) time: 2.7160 data: 0.0051 max mem: 31630 Epoch: [23] [1070/5278] eta: 3:10:29 lr: 2.2899525085269846e-05 loss: 0.0555 (0.0634) loss_seg: 0.0550 (0.0627) loss_lansim: 0.0565 (0.0672) loss_contra: 0.0007 (0.0068) time: 2.7228 data: 0.0052 max mem: 31630 Epoch: [23] [1080/5278] eta: 3:10:01 lr: 2.2897200378393048e-05 loss: 0.0534 (0.0633) loss_seg: 0.0527 (0.0626) loss_lansim: 0.0562 (0.0671) loss_contra: 0.0007 (0.0068) time: 2.7223 data: 0.0052 max mem: 31630 Epoch: [23] [1090/5278] eta: 3:09:35 lr: 2.28948756452912e-05 loss: 0.0529 (0.0633) loss_seg: 0.0524 (0.0626) loss_lansim: 0.0557 (0.0670) loss_contra: 0.0007 (0.0067) time: 2.7259 data: 0.0051 max mem: 31630 Epoch: [23] [1100/5278] eta: 3:09:09 lr: 2.2892550885961038e-05 loss: 0.0531 (0.0633) loss_seg: 0.0525 (0.0626) loss_lansim: 0.0555 (0.0669) loss_contra: 0.0008 (0.0067) time: 2.7275 data: 0.0051 max mem: 31630 Epoch: [23] [1110/5278] eta: 3:08:43 lr: 2.289022610039931e-05 loss: 0.0531 (0.0632) loss_seg: 0.0525 (0.0625) loss_lansim: 0.0555 (0.0668) loss_contra: 0.0008 (0.0067) time: 2.7317 data: 0.0051 max mem: 31630 Epoch: [23] [1120/5278] eta: 3:08:16 lr: 2.2887901288602764e-05 loss: 0.0529 (0.0633) loss_seg: 0.0524 (0.0626) loss_lansim: 0.0555 (0.0667) loss_contra: 0.0008 (0.0066) time: 2.7329 data: 0.0050 max mem: 31630 Epoch: [23] [1130/5278] eta: 3:07:50 lr: 2.2885576450568135e-05 loss: 0.0547 (0.0633) loss_seg: 0.0541 (0.0626) loss_lansim: 0.0554 (0.0666) loss_contra: 0.0008 (0.0066) time: 2.7324 data: 0.0050 max mem: 31630 Epoch: [23] [1140/5278] eta: 3:07:22 lr: 2.288325158629218e-05 loss: 0.0556 (0.0632) loss_seg: 0.0550 (0.0625) loss_lansim: 0.0553 (0.0665) loss_contra: 0.0008 (0.0065) time: 2.7326 data: 0.0049 max mem: 31630 Epoch: [23] [1150/5278] eta: 3:06:55 lr: 2.2880926695771624e-05 loss: 0.0550 (0.0633) loss_seg: 0.0545 (0.0626) loss_lansim: 0.0546 (0.0664) loss_contra: 0.0007 (0.0065) time: 2.7305 data: 0.0049 max mem: 31630 Epoch: [23] [1160/5278] eta: 3:06:30 lr: 2.2878601779003212e-05 loss: 0.0566 (0.0632) loss_seg: 0.0561 (0.0625) loss_lansim: 0.0546 (0.0663) loss_contra: 0.0005 (0.0065) time: 2.7379 data: 0.0049 max mem: 31630 Epoch: [23] [1170/5278] eta: 3:06:09 lr: 2.2876276835983688e-05 loss: 0.0547 (0.0632) loss_seg: 0.0541 (0.0624) loss_lansim: 0.0544 (0.0662) loss_contra: 0.0005 (0.0064) time: 2.7515 data: 0.0049 max mem: 31630 Epoch: [23] [1180/5278] eta: 3:05:47 lr: 2.287395186670979e-05 loss: 0.0550 (0.0631) loss_seg: 0.0545 (0.0624) loss_lansim: 0.0548 (0.0661) loss_contra: 0.0005 (0.0064) time: 2.7661 data: 0.0050 max mem: 31630 Epoch: [23] [1190/5278] eta: 3:05:21 lr: 2.2871626871178256e-05 loss: 0.0537 (0.0630) loss_seg: 0.0532 (0.0623) loss_lansim: 0.0548 (0.0660) loss_contra: 0.0005 (0.0064) time: 2.7674 data: 0.0050 max mem: 31630 Epoch: [23] [1200/5278] eta: 3:04:54 lr: 2.2869301849385823e-05 loss: 0.0535 (0.0630) loss_seg: 0.0529 (0.0623) loss_lansim: 0.0544 (0.0659) loss_contra: 0.0005 (0.0064) time: 2.7676 data: 0.0051 max mem: 31630 Epoch: [23] [1210/5278] eta: 3:04:27 lr: 2.2866976801329225e-05 loss: 0.0537 (0.0632) loss_seg: 0.0532 (0.0625) loss_lansim: 0.0538 (0.0658) loss_contra: 0.0004 (0.0064) time: 2.7640 data: 0.0051 max mem: 31630 Epoch: [23] [1220/5278] eta: 3:04:00 lr: 2.2864651727005208e-05 loss: 0.0542 (0.0632) loss_seg: 0.0536 (0.0624) loss_lansim: 0.0538 (0.0657) loss_contra: 0.0005 (0.0063) time: 2.7636 data: 0.0051 max mem: 31630 Epoch: [23] [1230/5278] eta: 3:03:35 lr: 2.2862326626410498e-05 loss: 0.0529 (0.0631) loss_seg: 0.0523 (0.0624) loss_lansim: 0.0537 (0.0657) loss_contra: 0.0005 (0.0063) time: 2.7669 data: 0.0051 max mem: 31630 Epoch: [23] [1240/5278] eta: 3:03:06 lr: 2.286000149954183e-05 loss: 0.0531 (0.0632) loss_seg: 0.0526 (0.0625) loss_lansim: 0.0538 (0.0656) loss_contra: 0.0005 (0.0063) time: 2.7665 data: 0.0052 max mem: 31630 Epoch: [23] [1250/5278] eta: 3:02:40 lr: 2.2857676346395934e-05 loss: 0.0536 (0.0633) loss_seg: 0.0530 (0.0625) loss_lansim: 0.0539 (0.0655) loss_contra: 0.0005 (0.0062) time: 2.7714 data: 0.0052 max mem: 31630 Epoch: [23] [1260/5278] eta: 3:02:12 lr: 2.285535116696956e-05 loss: 0.0536 (0.0633) loss_seg: 0.0530 (0.0625) loss_lansim: 0.0539 (0.0654) loss_contra: 0.0005 (0.0062) time: 2.7609 data: 0.0052 max mem: 31630 Epoch: [23] [1270/5278] eta: 3:01:46 lr: 2.285302596125942e-05 loss: 0.0571 (0.0633) loss_seg: 0.0565 (0.0626) loss_lansim: 0.0537 (0.0653) loss_contra: 0.0005 (0.0062) time: 2.7456 data: 0.0052 max mem: 31630 Epoch: [23] [1280/5278] eta: 3:01:19 lr: 2.285070072926226e-05 loss: 0.0570 (0.0632) loss_seg: 0.0565 (0.0625) loss_lansim: 0.0530 (0.0652) loss_contra: 0.0005 (0.0062) time: 2.7345 data: 0.0052 max mem: 31630 Epoch: [23] [1290/5278] eta: 3:00:53 lr: 2.28483754709748e-05 loss: 0.0571 (0.0632) loss_seg: 0.0565 (0.0625) loss_lansim: 0.0530 (0.0651) loss_contra: 0.0005 (0.0061) time: 2.7326 data: 0.0052 max mem: 31630 Epoch: [23] [1300/5278] eta: 3:00:26 lr: 2.2846050186393782e-05 loss: 0.0566 (0.0632) loss_seg: 0.0562 (0.0625) loss_lansim: 0.0530 (0.0650) loss_contra: 0.0005 (0.0061) time: 2.7319 data: 0.0052 max mem: 31630 Epoch: [23] [1310/5278] eta: 2:59:58 lr: 2.2843724875515923e-05 loss: 0.0566 (0.0632) loss_seg: 0.0562 (0.0625) loss_lansim: 0.0530 (0.0649) loss_contra: 0.0005 (0.0061) time: 2.7306 data: 0.0053 max mem: 31630 Epoch: [23] [1320/5278] eta: 2:59:31 lr: 2.2841399538337958e-05 loss: 0.0558 (0.0631) loss_seg: 0.0552 (0.0624) loss_lansim: 0.0530 (0.0648) loss_contra: 0.0005 (0.0061) time: 2.7314 data: 0.0053 max mem: 31630 Epoch: [23] [1330/5278] eta: 2:59:06 lr: 2.2839074174856608e-05 loss: 0.0571 (0.0631) loss_seg: 0.0565 (0.0624) loss_lansim: 0.0528 (0.0647) loss_contra: 0.0005 (0.0061) time: 2.7317 data: 0.0053 max mem: 31630 Epoch: [23] [1340/5278] eta: 2:58:38 lr: 2.2836748785068607e-05 loss: 0.0566 (0.0631) loss_seg: 0.0562 (0.0624) loss_lansim: 0.0524 (0.0646) loss_contra: 0.0004 (0.0060) time: 2.7339 data: 0.0053 max mem: 31630 Epoch: [23] [1350/5278] eta: 2:58:12 lr: 2.2834423368970685e-05 loss: 0.0558 (0.0633) loss_seg: 0.0553 (0.0626) loss_lansim: 0.0525 (0.0645) loss_contra: 0.0003 (0.0060) time: 2.7341 data: 0.0053 max mem: 31630 Epoch: [23] [1360/5278] eta: 2:57:45 lr: 2.2832097926559552e-05 loss: 0.0558 (0.0634) loss_seg: 0.0553 (0.0627) loss_lansim: 0.0525 (0.0645) loss_contra: 0.0004 (0.0059) time: 2.7384 data: 0.0053 max mem: 31630 Epoch: [23] [1370/5278] eta: 2:57:18 lr: 2.2829772457831943e-05 loss: 0.0545 (0.0634) loss_seg: 0.0540 (0.0627) loss_lansim: 0.0530 (0.0644) loss_contra: 0.0003 (0.0059) time: 2.7364 data: 0.0054 max mem: 31630 Epoch: [23] [1380/5278] eta: 2:56:51 lr: 2.282744696278458e-05 loss: 0.0546 (0.0633) loss_seg: 0.0541 (0.0626) loss_lansim: 0.0525 (0.0643) loss_contra: 0.0003 (0.0059) time: 2.7373 data: 0.0054 max mem: 31630 Epoch: [23] [1390/5278] eta: 2:56:24 lr: 2.2825121441414192e-05 loss: 0.0549 (0.0633) loss_seg: 0.0543 (0.0626) loss_lansim: 0.0523 (0.0642) loss_contra: 0.0003 (0.0058) time: 2.7334 data: 0.0054 max mem: 31630 Epoch: [23] [1400/5278] eta: 2:55:58 lr: 2.2822795893717487e-05 loss: 0.0562 (0.0634) loss_seg: 0.0557 (0.0627) loss_lansim: 0.0525 (0.0641) loss_contra: 0.0003 (0.0058) time: 2.7361 data: 0.0054 max mem: 31630 Epoch: [23] [1410/5278] eta: 2:55:30 lr: 2.2820470319691194e-05 loss: 0.0553 (0.0633) loss_seg: 0.0547 (0.0626) loss_lansim: 0.0525 (0.0640) loss_contra: 0.0003 (0.0058) time: 2.7353 data: 0.0054 max mem: 31630 Epoch: [23] [1420/5278] eta: 2:55:03 lr: 2.2818144719332032e-05 loss: 0.0553 (0.0633) loss_seg: 0.0547 (0.0626) loss_lansim: 0.0525 (0.0639) loss_contra: 0.0003 (0.0058) time: 2.7371 data: 0.0054 max mem: 31630 Epoch: [23] [1430/5278] eta: 2:54:35 lr: 2.2815819092636732e-05 loss: 0.0543 (0.0632) loss_seg: 0.0537 (0.0625) loss_lansim: 0.0532 (0.0639) loss_contra: 0.0003 (0.0057) time: 2.7295 data: 0.0055 max mem: 31630 Epoch: [23] [1440/5278] eta: 2:54:08 lr: 2.2813493439601997e-05 loss: 0.0546 (0.0632) loss_seg: 0.0541 (0.0625) loss_lansim: 0.0535 (0.0638) loss_contra: 0.0003 (0.0057) time: 2.7289 data: 0.0054 max mem: 31630 Epoch: [23] [1450/5278] eta: 2:53:41 lr: 2.2811167760224548e-05 loss: 0.0546 (0.0632) loss_seg: 0.0541 (0.0625) loss_lansim: 0.0532 (0.0638) loss_contra: 0.0003 (0.0057) time: 2.7246 data: 0.0055 max mem: 31630 Epoch: [23] [1460/5278] eta: 2:53:13 lr: 2.2808842054501108e-05 loss: 0.0546 (0.0631) loss_seg: 0.0541 (0.0625) loss_lansim: 0.0532 (0.0637) loss_contra: 0.0003 (0.0057) time: 2.7229 data: 0.0054 max mem: 31630 Epoch: [23] [1470/5278] eta: 2:52:47 lr: 2.2806516322428393e-05 loss: 0.0543 (0.0632) loss_seg: 0.0537 (0.0625) loss_lansim: 0.0532 (0.0636) loss_contra: 0.0004 (0.0056) time: 2.7269 data: 0.0054 max mem: 31630 Epoch: [23] [1480/5278] eta: 2:52:20 lr: 2.2804190564003116e-05 loss: 0.0539 (0.0631) loss_seg: 0.0533 (0.0624) loss_lansim: 0.0528 (0.0635) loss_contra: 0.0005 (0.0056) time: 2.7241 data: 0.0054 max mem: 31630 Epoch: [23] [1490/5278] eta: 2:51:53 lr: 2.2801864779221994e-05 loss: 0.0533 (0.0631) loss_seg: 0.0527 (0.0624) loss_lansim: 0.0532 (0.0635) loss_contra: 0.0004 (0.0056) time: 2.7286 data: 0.0055 max mem: 31630 Epoch: [23] [1500/5278] eta: 2:51:26 lr: 2.279953896808174e-05 loss: 0.0528 (0.0631) loss_seg: 0.0522 (0.0624) loss_lansim: 0.0528 (0.0634) loss_contra: 0.0003 (0.0056) time: 2.7264 data: 0.0055 max mem: 31630 Epoch: [23] [1510/5278] eta: 2:51:00 lr: 2.279721313057907e-05 loss: 0.0533 (0.0630) loss_seg: 0.0528 (0.0623) loss_lansim: 0.0526 (0.0633) loss_contra: 0.0004 (0.0055) time: 2.7311 data: 0.0054 max mem: 31630 Epoch: [23] [1520/5278] eta: 2:50:34 lr: 2.2794887266710694e-05 loss: 0.0533 (0.0631) loss_seg: 0.0528 (0.0624) loss_lansim: 0.0526 (0.0632) loss_contra: 0.0005 (0.0055) time: 2.7339 data: 0.0054 max mem: 31630 Epoch: [23] [1530/5278] eta: 2:50:07 lr: 2.279256137647332e-05 loss: 0.0569 (0.0630) loss_seg: 0.0563 (0.0624) loss_lansim: 0.0520 (0.0631) loss_contra: 0.0004 (0.0055) time: 2.7376 data: 0.0054 max mem: 31630 Epoch: [23] [1540/5278] eta: 2:49:40 lr: 2.2790235459863667e-05 loss: 0.0570 (0.0632) loss_seg: 0.0564 (0.0625) loss_lansim: 0.0520 (0.0631) loss_contra: 0.0005 (0.0055) time: 2.7400 data: 0.0054 max mem: 31630 Epoch: [23] [1550/5278] eta: 2:49:13 lr: 2.2787909516878444e-05 loss: 0.0570 (0.0631) loss_seg: 0.0564 (0.0624) loss_lansim: 0.0516 (0.0630) loss_contra: 0.0004 (0.0055) time: 2.7425 data: 0.0054 max mem: 31630 Epoch: [23] [1560/5278] eta: 2:48:46 lr: 2.278558354751436e-05 loss: 0.0570 (0.0631) loss_seg: 0.0564 (0.0624) loss_lansim: 0.0516 (0.0629) loss_contra: 0.0003 (0.0054) time: 2.7422 data: 0.0054 max mem: 31630 Epoch: [23] [1570/5278] eta: 2:48:19 lr: 2.2783257551768116e-05 loss: 0.0570 (0.0631) loss_seg: 0.0564 (0.0624) loss_lansim: 0.0513 (0.0629) loss_contra: 0.0003 (0.0054) time: 2.7391 data: 0.0053 max mem: 31630 Epoch: [23] [1580/5278] eta: 2:47:52 lr: 2.278093152963643e-05 loss: 0.0575 (0.0632) loss_seg: 0.0569 (0.0625) loss_lansim: 0.0518 (0.0628) loss_contra: 0.0003 (0.0054) time: 2.7416 data: 0.0053 max mem: 31630 Epoch: [23] [1590/5278] eta: 2:47:25 lr: 2.2778605481116004e-05 loss: 0.0596 (0.0632) loss_seg: 0.0590 (0.0625) loss_lansim: 0.0520 (0.0627) loss_contra: 0.0003 (0.0054) time: 2.7412 data: 0.0052 max mem: 31630 Epoch: [23] [1600/5278] eta: 2:46:57 lr: 2.277627940620355e-05 loss: 0.0596 (0.0632) loss_seg: 0.0590 (0.0626) loss_lansim: 0.0526 (0.0627) loss_contra: 0.0004 (0.0054) time: 2.7380 data: 0.0052 max mem: 31630 Epoch: [23] [1610/5278] eta: 2:46:31 lr: 2.2773953304895768e-05 loss: 0.0575 (0.0632) loss_seg: 0.0569 (0.0626) loss_lansim: 0.0529 (0.0626) loss_contra: 0.0003 (0.0054) time: 2.7399 data: 0.0052 max mem: 31630 Epoch: [23] [1620/5278] eta: 2:46:05 lr: 2.2771627177189363e-05 loss: 0.0575 (0.0632) loss_seg: 0.0569 (0.0625) loss_lansim: 0.0529 (0.0626) loss_contra: 0.0003 (0.0054) time: 2.7366 data: 0.0052 max mem: 31630 Epoch: [23] [1630/5278] eta: 2:45:37 lr: 2.2769301023081043e-05 loss: 0.0584 (0.0632) loss_seg: 0.0578 (0.0625) loss_lansim: 0.0530 (0.0625) loss_contra: 0.0003 (0.0054) time: 2.7354 data: 0.0052 max mem: 31630 Epoch: [23] [1640/5278] eta: 2:45:10 lr: 2.276697484256751e-05 loss: 0.0575 (0.0632) loss_seg: 0.0569 (0.0625) loss_lansim: 0.0529 (0.0624) loss_contra: 0.0003 (0.0053) time: 2.7356 data: 0.0052 max mem: 31630 Epoch: [23] [1650/5278] eta: 2:44:43 lr: 2.2764648635645467e-05 loss: 0.0568 (0.0632) loss_seg: 0.0563 (0.0625) loss_lansim: 0.0526 (0.0624) loss_contra: 0.0003 (0.0053) time: 2.7357 data: 0.0052 max mem: 31630 Epoch: [23] [1660/5278] eta: 2:44:16 lr: 2.2762322402311608e-05 loss: 0.0566 (0.0631) loss_seg: 0.0561 (0.0624) loss_lansim: 0.0530 (0.0623) loss_contra: 0.0003 (0.0053) time: 2.7361 data: 0.0053 max mem: 31630 Epoch: [23] [1670/5278] eta: 2:43:49 lr: 2.2759996142562646e-05 loss: 0.0575 (0.0631) loss_seg: 0.0569 (0.0624) loss_lansim: 0.0526 (0.0623) loss_contra: 0.0004 (0.0053) time: 2.7371 data: 0.0053 max mem: 31630 Epoch: [23] [1680/5278] eta: 2:43:22 lr: 2.2757669856395276e-05 loss: 0.0568 (0.0631) loss_seg: 0.0563 (0.0624) loss_lansim: 0.0525 (0.0622) loss_contra: 0.0003 (0.0052) time: 2.7339 data: 0.0053 max mem: 31630 Epoch: [23] [1690/5278] eta: 2:42:54 lr: 2.2755343543806194e-05 loss: 0.0541 (0.0631) loss_seg: 0.0535 (0.0624) loss_lansim: 0.0516 (0.0621) loss_contra: 0.0004 (0.0052) time: 2.7306 data: 0.0053 max mem: 31630 Epoch: [23] [1700/5278] eta: 2:42:28 lr: 2.27530172047921e-05 loss: 0.0535 (0.0630) loss_seg: 0.0530 (0.0624) loss_lansim: 0.0513 (0.0621) loss_contra: 0.0004 (0.0052) time: 2.7355 data: 0.0053 max mem: 31630 Epoch: [23] [1710/5278] eta: 2:42:00 lr: 2.2750690839349693e-05 loss: 0.0543 (0.0630) loss_seg: 0.0537 (0.0623) loss_lansim: 0.0515 (0.0620) loss_contra: 0.0003 (0.0053) time: 2.7312 data: 0.0053 max mem: 31630 Epoch: [23] [1720/5278] eta: 2:41:34 lr: 2.2748364447475677e-05 loss: 0.0581 (0.0631) loss_seg: 0.0574 (0.0624) loss_lansim: 0.0513 (0.0620) loss_contra: 0.0003 (0.0052) time: 2.7314 data: 0.0054 max mem: 31630 Epoch: [23] [1730/5278] eta: 2:41:06 lr: 2.2746038029166735e-05 loss: 0.0568 (0.0631) loss_seg: 0.0562 (0.0624) loss_lansim: 0.0512 (0.0619) loss_contra: 0.0004 (0.0053) time: 2.7295 data: 0.0053 max mem: 31630 Epoch: [23] [1740/5278] eta: 2:40:39 lr: 2.2743711584419568e-05 loss: 0.0600 (0.0631) loss_seg: 0.0594 (0.0624) loss_lansim: 0.0513 (0.0618) loss_contra: 0.0003 (0.0053) time: 2.7293 data: 0.0053 max mem: 31630 Epoch: [23] [1750/5278] eta: 2:40:11 lr: 2.2741385113230874e-05 loss: 0.0600 (0.0630) loss_seg: 0.0594 (0.0624) loss_lansim: 0.0515 (0.0618) loss_contra: 0.0004 (0.0053) time: 2.7245 data: 0.0053 max mem: 31630 Epoch: [23] [1760/5278] eta: 2:39:43 lr: 2.2739058615597348e-05 loss: 0.0600 (0.0630) loss_seg: 0.0594 (0.0623) loss_lansim: 0.0512 (0.0617) loss_contra: 0.0004 (0.0053) time: 2.7232 data: 0.0053 max mem: 31630 Epoch: [23] [1770/5278] eta: 2:39:17 lr: 2.2736732091515675e-05 loss: 0.0581 (0.0629) loss_seg: 0.0574 (0.0623) loss_lansim: 0.0514 (0.0617) loss_contra: 0.0004 (0.0053) time: 2.7232 data: 0.0052 max mem: 31630 Epoch: [23] [1780/5278] eta: 2:38:49 lr: 2.273440554098255e-05 loss: 0.0572 (0.0630) loss_seg: 0.0567 (0.0624) loss_lansim: 0.0515 (0.0616) loss_contra: 0.0004 (0.0053) time: 2.7223 data: 0.0052 max mem: 31630 Epoch: [23] [1790/5278] eta: 2:38:22 lr: 2.2732078963994667e-05 loss: 0.0581 (0.0630) loss_seg: 0.0574 (0.0623) loss_lansim: 0.0516 (0.0616) loss_contra: 0.0005 (0.0052) time: 2.7248 data: 0.0053 max mem: 31630 Epoch: [23] [1800/5278] eta: 2:37:55 lr: 2.2729752360548718e-05 loss: 0.0594 (0.0630) loss_seg: 0.0589 (0.0623) loss_lansim: 0.0516 (0.0615) loss_contra: 0.0005 (0.0053) time: 2.7222 data: 0.0053 max mem: 31630 Epoch: [23] [1810/5278] eta: 2:37:28 lr: 2.2727425730641395e-05 loss: 0.0590 (0.0630) loss_seg: 0.0585 (0.0623) loss_lansim: 0.0518 (0.0615) loss_contra: 0.0005 (0.0052) time: 2.7227 data: 0.0054 max mem: 31630 Epoch: [23] [1820/5278] eta: 2:37:01 lr: 2.2725099074269378e-05 loss: 0.0557 (0.0630) loss_seg: 0.0551 (0.0623) loss_lansim: 0.0519 (0.0614) loss_contra: 0.0005 (0.0052) time: 2.7232 data: 0.0054 max mem: 31630 Epoch: [23] [1830/5278] eta: 2:36:35 lr: 2.2722772391429357e-05 loss: 0.0557 (0.0629) loss_seg: 0.0551 (0.0623) loss_lansim: 0.0518 (0.0614) loss_contra: 0.0004 (0.0052) time: 2.7310 data: 0.0054 max mem: 31630 Epoch: [23] [1840/5278] eta: 2:36:07 lr: 2.2720445682118024e-05 loss: 0.0564 (0.0629) loss_seg: 0.0559 (0.0623) loss_lansim: 0.0520 (0.0613) loss_contra: 0.0004 (0.0052) time: 2.7297 data: 0.0054 max mem: 31630 Epoch: [23] [1850/5278] eta: 2:35:39 lr: 2.271811894633207e-05 loss: 0.0557 (0.0629) loss_seg: 0.0551 (0.0622) loss_lansim: 0.0520 (0.0613) loss_contra: 0.0004 (0.0051) time: 2.7255 data: 0.0054 max mem: 31630 Epoch: [23] [1860/5278] eta: 2:35:10 lr: 2.2715792184068172e-05 loss: 0.0557 (0.0628) loss_seg: 0.0551 (0.0622) loss_lansim: 0.0523 (0.0612) loss_contra: 0.0004 (0.0051) time: 2.7197 data: 0.0055 max mem: 31630 Epoch: [23] [1870/5278] eta: 2:34:42 lr: 2.2713465395323015e-05 loss: 0.0557 (0.0629) loss_seg: 0.0551 (0.0622) loss_lansim: 0.0523 (0.0612) loss_contra: 0.0003 (0.0051) time: 2.7101 data: 0.0055 max mem: 31630 Epoch: [23] [1880/5278] eta: 2:34:13 lr: 2.2711138580093293e-05 loss: 0.0561 (0.0629) loss_seg: 0.0556 (0.0622) loss_lansim: 0.0523 (0.0612) loss_contra: 0.0003 (0.0051) time: 2.7057 data: 0.0055 max mem: 31630 Epoch: [23] [1890/5278] eta: 2:33:44 lr: 2.270881173837568e-05 loss: 0.0564 (0.0628) loss_seg: 0.0559 (0.0622) loss_lansim: 0.0520 (0.0611) loss_contra: 0.0003 (0.0051) time: 2.6954 data: 0.0055 max mem: 31630 Epoch: [23] [1900/5278] eta: 2:33:16 lr: 2.2706484870166864e-05 loss: 0.0564 (0.0629) loss_seg: 0.0559 (0.0622) loss_lansim: 0.0518 (0.0610) loss_contra: 0.0003 (0.0051) time: 2.6870 data: 0.0054 max mem: 31630 Epoch: [23] [1910/5278] eta: 2:32:47 lr: 2.2704157975463526e-05 loss: 0.0564 (0.0628) loss_seg: 0.0559 (0.0622) loss_lansim: 0.0513 (0.0610) loss_contra: 0.0003 (0.0051) time: 2.6777 data: 0.0054 max mem: 31630 Epoch: [23] [1920/5278] eta: 2:32:19 lr: 2.270183105426234e-05 loss: 0.0562 (0.0628) loss_seg: 0.0558 (0.0621) loss_lansim: 0.0506 (0.0609) loss_contra: 0.0003 (0.0050) time: 2.6689 data: 0.0054 max mem: 31630 Epoch: [23] [1930/5278] eta: 2:31:50 lr: 2.269950410656e-05 loss: 0.0564 (0.0628) loss_seg: 0.0559 (0.0622) loss_lansim: 0.0505 (0.0609) loss_contra: 0.0003 (0.0050) time: 2.6561 data: 0.0054 max mem: 31630 Epoch: [23] [1940/5278] eta: 2:31:22 lr: 2.2697177132353178e-05 loss: 0.0561 (0.0628) loss_seg: 0.0556 (0.0622) loss_lansim: 0.0502 (0.0608) loss_contra: 0.0003 (0.0050) time: 2.6499 data: 0.0054 max mem: 31630 Epoch: [23] [1950/5278] eta: 2:30:54 lr: 2.2694850131638547e-05 loss: 0.0562 (0.0629) loss_seg: 0.0558 (0.0622) loss_lansim: 0.0497 (0.0607) loss_contra: 0.0003 (0.0050) time: 2.6494 data: 0.0054 max mem: 31630 Epoch: [23] [1960/5278] eta: 2:30:25 lr: 2.2692523104412796e-05 loss: 0.0580 (0.0629) loss_seg: 0.0575 (0.0622) loss_lansim: 0.0496 (0.0607) loss_contra: 0.0004 (0.0050) time: 2.6488 data: 0.0053 max mem: 31630 Epoch: [23] [1970/5278] eta: 2:29:57 lr: 2.26901960506726e-05 loss: 0.0583 (0.0629) loss_seg: 0.0578 (0.0623) loss_lansim: 0.0491 (0.0606) loss_contra: 0.0003 (0.0050) time: 2.6486 data: 0.0053 max mem: 31630 Epoch: [23] [1980/5278] eta: 2:29:29 lr: 2.2687868970414632e-05 loss: 0.0585 (0.0629) loss_seg: 0.0579 (0.0623) loss_lansim: 0.0491 (0.0606) loss_contra: 0.0003 (0.0049) time: 2.6535 data: 0.0053 max mem: 31630 Epoch: [23] [1990/5278] eta: 2:29:02 lr: 2.2685541863635563e-05 loss: 0.0580 (0.0629) loss_seg: 0.0575 (0.0622) loss_lansim: 0.0491 (0.0605) loss_contra: 0.0003 (0.0049) time: 2.6608 data: 0.0053 max mem: 31630 Epoch: [23] [2000/5278] eta: 2:28:35 lr: 2.2683214730332077e-05 loss: 0.0567 (0.0629) loss_seg: 0.0562 (0.0622) loss_lansim: 0.0490 (0.0605) loss_contra: 0.0003 (0.0049) time: 2.6716 data: 0.0053 max mem: 31630 Epoch: [23] [2010/5278] eta: 2:28:08 lr: 2.2680887570500847e-05 loss: 0.0579 (0.0629) loss_seg: 0.0572 (0.0623) loss_lansim: 0.0492 (0.0604) loss_contra: 0.0004 (0.0049) time: 2.6786 data: 0.0053 max mem: 31630 Epoch: [23] [2020/5278] eta: 2:27:41 lr: 2.267856038413854e-05 loss: 0.0595 (0.0629) loss_seg: 0.0590 (0.0623) loss_lansim: 0.0497 (0.0604) loss_contra: 0.0003 (0.0049) time: 2.6863 data: 0.0053 max mem: 31630 Epoch: [23] [2030/5278] eta: 2:27:13 lr: 2.267623317124183e-05 loss: 0.0585 (0.0630) loss_seg: 0.0579 (0.0623) loss_lansim: 0.0494 (0.0603) loss_contra: 0.0003 (0.0049) time: 2.6915 data: 0.0053 max mem: 31630 Epoch: [23] [2040/5278] eta: 2:26:47 lr: 2.2673905931807393e-05 loss: 0.0580 (0.0629) loss_seg: 0.0575 (0.0623) loss_lansim: 0.0497 (0.0602) loss_contra: 0.0003 (0.0049) time: 2.7003 data: 0.0052 max mem: 31630 Epoch: [23] [2050/5278] eta: 2:26:20 lr: 2.2671578665831896e-05 loss: 0.0591 (0.0629) loss_seg: 0.0586 (0.0623) loss_lansim: 0.0491 (0.0602) loss_contra: 0.0003 (0.0049) time: 2.7087 data: 0.0052 max mem: 31630 Epoch: [23] [2060/5278] eta: 2:25:53 lr: 2.2669251373312017e-05 loss: 0.0591 (0.0630) loss_seg: 0.0586 (0.0623) loss_lansim: 0.0492 (0.0602) loss_contra: 0.0003 (0.0049) time: 2.7177 data: 0.0052 max mem: 31630 Epoch: [23] [2070/5278] eta: 2:25:26 lr: 2.2666924054244414e-05 loss: 0.0579 (0.0631) loss_seg: 0.0574 (0.0624) loss_lansim: 0.0494 (0.0601) loss_contra: 0.0003 (0.0049) time: 2.7263 data: 0.0052 max mem: 31630 Epoch: [23] [2080/5278] eta: 2:24:59 lr: 2.266459670862576e-05 loss: 0.0560 (0.0630) loss_seg: 0.0554 (0.0624) loss_lansim: 0.0497 (0.0601) loss_contra: 0.0003 (0.0048) time: 2.7332 data: 0.0052 max mem: 31630 Epoch: [23] [2090/5278] eta: 2:24:32 lr: 2.2662269336452722e-05 loss: 0.0578 (0.0630) loss_seg: 0.0572 (0.0624) loss_lansim: 0.0492 (0.0600) loss_contra: 0.0003 (0.0048) time: 2.7365 data: 0.0052 max mem: 31630 Epoch: [23] [2100/5278] eta: 2:24:06 lr: 2.2659941937721975e-05 loss: 0.0578 (0.0630) loss_seg: 0.0572 (0.0624) loss_lansim: 0.0494 (0.0599) loss_contra: 0.0003 (0.0048) time: 2.7413 data: 0.0052 max mem: 31630 Epoch: [23] [2110/5278] eta: 2:23:39 lr: 2.265761451243017e-05 loss: 0.0575 (0.0630) loss_seg: 0.0570 (0.0624) loss_lansim: 0.0493 (0.0599) loss_contra: 0.0003 (0.0048) time: 2.7442 data: 0.0052 max mem: 31630 Epoch: [23] [2120/5278] eta: 2:23:13 lr: 2.265528706057398e-05 loss: 0.0567 (0.0631) loss_seg: 0.0563 (0.0624) loss_lansim: 0.0490 (0.0599) loss_contra: 0.0004 (0.0048) time: 2.7484 data: 0.0052 max mem: 31630 Epoch: [23] [2130/5278] eta: 2:22:46 lr: 2.265295958215007e-05 loss: 0.0575 (0.0631) loss_seg: 0.0570 (0.0625) loss_lansim: 0.0492 (0.0598) loss_contra: 0.0004 (0.0048) time: 2.7479 data: 0.0053 max mem: 31630 Epoch: [23] [2140/5278] eta: 2:22:19 lr: 2.265063207715511e-05 loss: 0.0576 (0.0631) loss_seg: 0.0571 (0.0624) loss_lansim: 0.0492 (0.0598) loss_contra: 0.0004 (0.0048) time: 2.7478 data: 0.0053 max mem: 31630 Epoch: [23] [2150/5278] eta: 2:21:52 lr: 2.2648304545585748e-05 loss: 0.0574 (0.0631) loss_seg: 0.0569 (0.0625) loss_lansim: 0.0493 (0.0597) loss_contra: 0.0003 (0.0047) time: 2.7486 data: 0.0053 max mem: 31630 Epoch: [23] [2160/5278] eta: 2:21:25 lr: 2.2645976987438657e-05 loss: 0.0574 (0.0631) loss_seg: 0.0569 (0.0625) loss_lansim: 0.0492 (0.0597) loss_contra: 0.0004 (0.0047) time: 2.7515 data: 0.0054 max mem: 31630 Epoch: [23] [2170/5278] eta: 2:20:58 lr: 2.2643649402710497e-05 loss: 0.0556 (0.0630) loss_seg: 0.0551 (0.0624) loss_lansim: 0.0492 (0.0597) loss_contra: 0.0003 (0.0047) time: 2.7515 data: 0.0054 max mem: 31630 Epoch: [23] [2180/5278] eta: 2:20:32 lr: 2.264132179139793e-05 loss: 0.0567 (0.0631) loss_seg: 0.0563 (0.0625) loss_lansim: 0.0493 (0.0596) loss_contra: 0.0004 (0.0047) time: 2.7518 data: 0.0055 max mem: 31630 Epoch: [23] [2190/5278] eta: 2:20:04 lr: 2.2638994153497608e-05 loss: 0.0565 (0.0631) loss_seg: 0.0561 (0.0625) loss_lansim: 0.0507 (0.0596) loss_contra: 0.0004 (0.0047) time: 2.7455 data: 0.0055 max mem: 31630 Epoch: [23] [2200/5278] eta: 2:19:37 lr: 2.2636666489006195e-05 loss: 0.0575 (0.0631) loss_seg: 0.0570 (0.0625) loss_lansim: 0.0516 (0.0596) loss_contra: 0.0004 (0.0047) time: 2.7418 data: 0.0055 max mem: 31630 Epoch: [23] [2210/5278] eta: 2:19:10 lr: 2.2634338797920346e-05 loss: 0.0565 (0.0631) loss_seg: 0.0561 (0.0625) loss_lansim: 0.0509 (0.0596) loss_contra: 0.0004 (0.0047) time: 2.7374 data: 0.0055 max mem: 31630 Epoch: [23] [2220/5278] eta: 2:18:43 lr: 2.2632011080236727e-05 loss: 0.0565 (0.0631) loss_seg: 0.0561 (0.0625) loss_lansim: 0.0516 (0.0595) loss_contra: 0.0003 (0.0047) time: 2.7323 data: 0.0054 max mem: 31630 Epoch: [23] [2230/5278] eta: 2:18:15 lr: 2.2629683335951984e-05 loss: 0.0556 (0.0632) loss_seg: 0.0551 (0.0625) loss_lansim: 0.0517 (0.0595) loss_contra: 0.0004 (0.0047) time: 2.7342 data: 0.0053 max mem: 31630 Epoch: [23] [2240/5278] eta: 2:17:48 lr: 2.2627355565062774e-05 loss: 0.0555 (0.0631) loss_seg: 0.0549 (0.0625) loss_lansim: 0.0517 (0.0594) loss_contra: 0.0003 (0.0047) time: 2.7350 data: 0.0053 max mem: 31630 Epoch: [23] [2250/5278] eta: 2:17:21 lr: 2.2625027767565758e-05 loss: 0.0551 (0.0631) loss_seg: 0.0545 (0.0624) loss_lansim: 0.0517 (0.0594) loss_contra: 0.0003 (0.0047) time: 2.7339 data: 0.0053 max mem: 31630 Epoch: [23] [2260/5278] eta: 2:16:54 lr: 2.262269994345759e-05 loss: 0.0545 (0.0633) loss_seg: 0.0540 (0.0626) loss_lansim: 0.0508 (0.0593) loss_contra: 0.0003 (0.0047) time: 2.7315 data: 0.0052 max mem: 31630 Epoch: [23] [2270/5278] eta: 2:16:28 lr: 2.2620372092734917e-05 loss: 0.0547 (0.0633) loss_seg: 0.0542 (0.0626) loss_lansim: 0.0508 (0.0593) loss_contra: 0.0004 (0.0047) time: 2.7350 data: 0.0053 max mem: 31630 Epoch: [23] [2280/5278] eta: 2:16:01 lr: 2.2618044215394393e-05 loss: 0.0534 (0.0633) loss_seg: 0.0529 (0.0627) loss_lansim: 0.0505 (0.0593) loss_contra: 0.0003 (0.0047) time: 2.7355 data: 0.0053 max mem: 31630 Epoch: [23] [2290/5278] eta: 2:15:34 lr: 2.2615716311432668e-05 loss: 0.0525 (0.0633) loss_seg: 0.0519 (0.0627) loss_lansim: 0.0502 (0.0592) loss_contra: 0.0002 (0.0047) time: 2.7420 data: 0.0054 max mem: 31630 Epoch: [23] [2300/5278] eta: 2:15:08 lr: 2.26133883808464e-05 loss: 0.0525 (0.0633) loss_seg: 0.0521 (0.0627) loss_lansim: 0.0502 (0.0592) loss_contra: 0.0002 (0.0046) time: 2.7415 data: 0.0054 max mem: 31630 Epoch: [23] [2310/5278] eta: 2:14:41 lr: 2.2611060423632238e-05 loss: 0.0534 (0.0633) loss_seg: 0.0529 (0.0627) loss_lansim: 0.0509 (0.0592) loss_contra: 0.0002 (0.0046) time: 2.7482 data: 0.0054 max mem: 31630 Epoch: [23] [2320/5278] eta: 2:14:14 lr: 2.2608732439786825e-05 loss: 0.0522 (0.0632) loss_seg: 0.0516 (0.0626) loss_lansim: 0.0516 (0.0592) loss_contra: 0.0002 (0.0046) time: 2.7528 data: 0.0054 max mem: 31630 Epoch: [23] [2330/5278] eta: 2:13:48 lr: 2.260640442930681e-05 loss: 0.0522 (0.0632) loss_seg: 0.0516 (0.0626) loss_lansim: 0.0517 (0.0591) loss_contra: 0.0002 (0.0046) time: 2.7597 data: 0.0055 max mem: 31630 Epoch: [23] [2340/5278] eta: 2:13:21 lr: 2.2604076392188845e-05 loss: 0.0525 (0.0632) loss_seg: 0.0519 (0.0626) loss_lansim: 0.0517 (0.0591) loss_contra: 0.0003 (0.0046) time: 2.7581 data: 0.0054 max mem: 31630 Epoch: [23] [2350/5278] eta: 2:12:55 lr: 2.260174832842958e-05 loss: 0.0525 (0.0632) loss_seg: 0.0520 (0.0625) loss_lansim: 0.0519 (0.0591) loss_contra: 0.0002 (0.0046) time: 2.7670 data: 0.0055 max mem: 31630 Epoch: [23] [2360/5278] eta: 2:12:28 lr: 2.259942023802565e-05 loss: 0.0525 (0.0631) loss_seg: 0.0519 (0.0625) loss_lansim: 0.0521 (0.0590) loss_contra: 0.0002 (0.0046) time: 2.7683 data: 0.0054 max mem: 31630 Epoch: [23] [2370/5278] eta: 2:12:02 lr: 2.2597092120973705e-05 loss: 0.0529 (0.0632) loss_seg: 0.0524 (0.0625) loss_lansim: 0.0523 (0.0590) loss_contra: 0.0002 (0.0046) time: 2.7709 data: 0.0053 max mem: 31630 Epoch: [23] [2380/5278] eta: 2:11:35 lr: 2.2594763977270393e-05 loss: 0.0529 (0.0631) loss_seg: 0.0524 (0.0625) loss_lansim: 0.0521 (0.0590) loss_contra: 0.0002 (0.0046) time: 2.7678 data: 0.0053 max mem: 31630 Epoch: [23] [2390/5278] eta: 2:11:08 lr: 2.259243580691236e-05 loss: 0.0532 (0.0631) loss_seg: 0.0526 (0.0625) loss_lansim: 0.0523 (0.0590) loss_contra: 0.0003 (0.0046) time: 2.7698 data: 0.0053 max mem: 31630 Epoch: [23] [2400/5278] eta: 2:10:41 lr: 2.259010760989624e-05 loss: 0.0531 (0.0631) loss_seg: 0.0525 (0.0625) loss_lansim: 0.0517 (0.0589) loss_contra: 0.0003 (0.0046) time: 2.7693 data: 0.0053 max mem: 31630 Epoch: [23] [2410/5278] eta: 2:10:14 lr: 2.2587779386218675e-05 loss: 0.0529 (0.0631) loss_seg: 0.0524 (0.0625) loss_lansim: 0.0514 (0.0589) loss_contra: 0.0003 (0.0045) time: 2.7716 data: 0.0052 max mem: 31630 Epoch: [23] [2420/5278] eta: 2:09:47 lr: 2.258545113587631e-05 loss: 0.0529 (0.0631) loss_seg: 0.0524 (0.0625) loss_lansim: 0.0515 (0.0588) loss_contra: 0.0004 (0.0045) time: 2.7692 data: 0.0052 max mem: 31630 Epoch: [23] [2430/5278] eta: 2:09:21 lr: 2.2583122858865792e-05 loss: 0.0529 (0.0631) loss_seg: 0.0524 (0.0625) loss_lansim: 0.0516 (0.0588) loss_contra: 0.0005 (0.0045) time: 2.7693 data: 0.0053 max mem: 31630 Epoch: [23] [2440/5278] eta: 2:08:54 lr: 2.258079455518375e-05 loss: 0.0529 (0.0631) loss_seg: 0.0524 (0.0624) loss_lansim: 0.0511 (0.0588) loss_contra: 0.0003 (0.0045) time: 2.7729 data: 0.0053 max mem: 31630 Epoch: [23] [2450/5278] eta: 2:08:28 lr: 2.2578466224826825e-05 loss: 0.0531 (0.0631) loss_seg: 0.0526 (0.0625) loss_lansim: 0.0509 (0.0587) loss_contra: 0.0003 (0.0045) time: 2.7703 data: 0.0054 max mem: 31630 Epoch: [23] [2460/5278] eta: 2:08:01 lr: 2.2576137867791655e-05 loss: 0.0529 (0.0631) loss_seg: 0.0524 (0.0625) loss_lansim: 0.0511 (0.0587) loss_contra: 0.0004 (0.0045) time: 2.7720 data: 0.0054 max mem: 31630 Epoch: [23] [2470/5278] eta: 2:07:34 lr: 2.2573809484074886e-05 loss: 0.0514 (0.0631) loss_seg: 0.0509 (0.0624) loss_lansim: 0.0513 (0.0587) loss_contra: 0.0003 (0.0045) time: 2.7696 data: 0.0055 max mem: 31630 Epoch: [23] [2480/5278] eta: 2:07:08 lr: 2.2571481073673144e-05 loss: 0.0495 (0.0630) loss_seg: 0.0490 (0.0624) loss_lansim: 0.0516 (0.0587) loss_contra: 0.0003 (0.0045) time: 2.7749 data: 0.0056 max mem: 31630 Epoch: [23] [2490/5278] eta: 2:06:41 lr: 2.2569152636583064e-05 loss: 0.0506 (0.0631) loss_seg: 0.0500 (0.0624) loss_lansim: 0.0516 (0.0586) loss_contra: 0.0003 (0.0044) time: 2.7754 data: 0.0057 max mem: 31630 Epoch: [23] [2500/5278] eta: 2:06:15 lr: 2.2566824172801282e-05 loss: 0.0506 (0.0630) loss_seg: 0.0500 (0.0624) loss_lansim: 0.0518 (0.0586) loss_contra: 0.0003 (0.0044) time: 2.7824 data: 0.0058 max mem: 31630 Epoch: [23] [2510/5278] eta: 2:05:48 lr: 2.2564495682324443e-05 loss: 0.0495 (0.0630) loss_seg: 0.0490 (0.0624) loss_lansim: 0.0518 (0.0586) loss_contra: 0.0003 (0.0044) time: 2.7789 data: 0.0059 max mem: 31630 Epoch: [23] [2520/5278] eta: 2:05:22 lr: 2.2562167165149163e-05 loss: 0.0500 (0.0630) loss_seg: 0.0495 (0.0624) loss_lansim: 0.0517 (0.0586) loss_contra: 0.0003 (0.0044) time: 2.7873 data: 0.0059 max mem: 31630 Epoch: [23] [2530/5278] eta: 2:04:55 lr: 2.2559838621272088e-05 loss: 0.0500 (0.0630) loss_seg: 0.0495 (0.0624) loss_lansim: 0.0503 (0.0585) loss_contra: 0.0002 (0.0044) time: 2.7865 data: 0.0059 max mem: 31630 Epoch: [23] [2540/5278] eta: 2:04:29 lr: 2.2557510050689836e-05 loss: 0.0500 (0.0630) loss_seg: 0.0495 (0.0624) loss_lansim: 0.0511 (0.0585) loss_contra: 0.0002 (0.0044) time: 2.7900 data: 0.0059 max mem: 31630 Epoch: [23] [2550/5278] eta: 2:04:02 lr: 2.2555181453399052e-05 loss: 0.0502 (0.0630) loss_seg: 0.0497 (0.0624) loss_lansim: 0.0503 (0.0585) loss_contra: 0.0002 (0.0044) time: 2.7903 data: 0.0059 max mem: 31630 Epoch: [23] [2560/5278] eta: 2:03:35 lr: 2.255285282939636e-05 loss: 0.0500 (0.0630) loss_seg: 0.0495 (0.0624) loss_lansim: 0.0503 (0.0584) loss_contra: 0.0002 (0.0043) time: 2.7892 data: 0.0059 max mem: 31630 Epoch: [23] [2570/5278] eta: 2:03:09 lr: 2.2550524178678384e-05 loss: 0.0516 (0.0630) loss_seg: 0.0510 (0.0624) loss_lansim: 0.0505 (0.0584) loss_contra: 0.0003 (0.0043) time: 2.7916 data: 0.0059 max mem: 31630 Epoch: [23] [2580/5278] eta: 2:02:42 lr: 2.2548195501241757e-05 loss: 0.0558 (0.0630) loss_seg: 0.0553 (0.0624) loss_lansim: 0.0506 (0.0584) loss_contra: 0.0003 (0.0043) time: 2.7878 data: 0.0058 max mem: 31630 Epoch: [23] [2590/5278] eta: 2:02:15 lr: 2.2545866797083107e-05 loss: 0.0532 (0.0630) loss_seg: 0.0527 (0.0623) loss_lansim: 0.0507 (0.0584) loss_contra: 0.0003 (0.0043) time: 2.7861 data: 0.0056 max mem: 31630 Epoch: [23] [2600/5278] eta: 2:01:48 lr: 2.2543538066199063e-05 loss: 0.0516 (0.0629) loss_seg: 0.0510 (0.0623) loss_lansim: 0.0515 (0.0584) loss_contra: 0.0002 (0.0043) time: 2.7812 data: 0.0056 max mem: 31630 Epoch: [23] [2610/5278] eta: 2:01:21 lr: 2.254120930858624e-05 loss: 0.0558 (0.0629) loss_seg: 0.0553 (0.0623) loss_lansim: 0.0518 (0.0583) loss_contra: 0.0002 (0.0043) time: 2.7877 data: 0.0057 max mem: 31630 Epoch: [23] [2620/5278] eta: 2:00:55 lr: 2.2538880524241275e-05 loss: 0.0570 (0.0629) loss_seg: 0.0564 (0.0623) loss_lansim: 0.0515 (0.0583) loss_contra: 0.0002 (0.0043) time: 2.7847 data: 0.0058 max mem: 31630 Epoch: [23] [2630/5278] eta: 2:00:28 lr: 2.2536551713160782e-05 loss: 0.0570 (0.0629) loss_seg: 0.0564 (0.0623) loss_lansim: 0.0518 (0.0583) loss_contra: 0.0002 (0.0043) time: 2.7837 data: 0.0059 max mem: 31630 Epoch: [23] [2640/5278] eta: 2:00:01 lr: 2.25342228753414e-05 loss: 0.0552 (0.0628) loss_seg: 0.0547 (0.0622) loss_lansim: 0.0514 (0.0583) loss_contra: 0.0003 (0.0043) time: 2.7800 data: 0.0060 max mem: 31630 Epoch: [23] [2650/5278] eta: 1:59:35 lr: 2.253189401077973e-05 loss: 0.0532 (0.0628) loss_seg: 0.0527 (0.0622) loss_lansim: 0.0515 (0.0582) loss_contra: 0.0003 (0.0043) time: 2.7814 data: 0.0062 max mem: 31630 Epoch: [23] [2660/5278] eta: 1:59:08 lr: 2.2529565119472408e-05 loss: 0.0534 (0.0628) loss_seg: 0.0529 (0.0621) loss_lansim: 0.0518 (0.0582) loss_contra: 0.0003 (0.0043) time: 2.7836 data: 0.0063 max mem: 31630 Epoch: [23] [2670/5278] eta: 1:58:41 lr: 2.2527236201416048e-05 loss: 0.0534 (0.0628) loss_seg: 0.0529 (0.0622) loss_lansim: 0.0514 (0.0581) loss_contra: 0.0003 (0.0043) time: 2.7821 data: 0.0065 max mem: 31630 Epoch: [23] [2680/5278] eta: 1:58:14 lr: 2.2524907256607284e-05 loss: 0.0527 (0.0628) loss_seg: 0.0523 (0.0621) loss_lansim: 0.0506 (0.0581) loss_contra: 0.0003 (0.0043) time: 2.7835 data: 0.0066 max mem: 31630 Epoch: [23] [2690/5278] eta: 1:57:47 lr: 2.2522578285042718e-05 loss: 0.0534 (0.0628) loss_seg: 0.0529 (0.0621) loss_lansim: 0.0502 (0.0581) loss_contra: 0.0003 (0.0043) time: 2.7853 data: 0.0068 max mem: 31630 Epoch: [23] [2700/5278] eta: 1:57:20 lr: 2.252024928671897e-05 loss: 0.0544 (0.0627) loss_seg: 0.0540 (0.0621) loss_lansim: 0.0495 (0.0581) loss_contra: 0.0003 (0.0043) time: 2.7863 data: 0.0069 max mem: 31630 Epoch: [23] [2710/5278] eta: 1:56:53 lr: 2.251792026163267e-05 loss: 0.0540 (0.0627) loss_seg: 0.0535 (0.0621) loss_lansim: 0.0493 (0.0580) loss_contra: 0.0003 (0.0043) time: 2.7807 data: 0.0069 max mem: 31630 Epoch: [23] [2720/5278] eta: 1:56:27 lr: 2.251559120978043e-05 loss: 0.0513 (0.0627) loss_seg: 0.0508 (0.0621) loss_lansim: 0.0494 (0.0580) loss_contra: 0.0003 (0.0043) time: 2.7805 data: 0.0070 max mem: 31630 Epoch: [23] [2730/5278] eta: 1:56:00 lr: 2.2513262131158857e-05 loss: 0.0527 (0.0627) loss_seg: 0.0523 (0.0620) loss_lansim: 0.0497 (0.0580) loss_contra: 0.0003 (0.0042) time: 2.7835 data: 0.0070 max mem: 31630 Epoch: [23] [2740/5278] eta: 1:55:33 lr: 2.2510933025764576e-05 loss: 0.0539 (0.0627) loss_seg: 0.0534 (0.0620) loss_lansim: 0.0504 (0.0580) loss_contra: 0.0003 (0.0042) time: 2.7834 data: 0.0069 max mem: 31630 Epoch: [23] [2750/5278] eta: 1:55:06 lr: 2.2508603893594197e-05 loss: 0.0540 (0.0627) loss_seg: 0.0535 (0.0620) loss_lansim: 0.0506 (0.0580) loss_contra: 0.0003 (0.0042) time: 2.7829 data: 0.0067 max mem: 31630 Epoch: [23] [2760/5278] eta: 1:54:39 lr: 2.250627473464434e-05 loss: 0.0556 (0.0627) loss_seg: 0.0551 (0.0621) loss_lansim: 0.0506 (0.0580) loss_contra: 0.0003 (0.0042) time: 2.7795 data: 0.0066 max mem: 31630 Epoch: [23] [2770/5278] eta: 1:54:12 lr: 2.2503945548911603e-05 loss: 0.0540 (0.0627) loss_seg: 0.0535 (0.0621) loss_lansim: 0.0517 (0.0579) loss_contra: 0.0003 (0.0042) time: 2.7795 data: 0.0065 max mem: 31630 Epoch: [23] [2780/5278] eta: 1:53:45 lr: 2.250161633639261e-05 loss: 0.0565 (0.0627) loss_seg: 0.0561 (0.0621) loss_lansim: 0.0531 (0.0579) loss_contra: 0.0003 (0.0042) time: 2.7765 data: 0.0064 max mem: 31630 Epoch: [23] [2790/5278] eta: 1:53:18 lr: 2.249928709708397e-05 loss: 0.0567 (0.0628) loss_seg: 0.0563 (0.0622) loss_lansim: 0.0532 (0.0579) loss_contra: 0.0003 (0.0042) time: 2.7761 data: 0.0061 max mem: 31630 Epoch: [23] [2800/5278] eta: 1:52:51 lr: 2.2496957830982294e-05 loss: 0.0588 (0.0628) loss_seg: 0.0582 (0.0622) loss_lansim: 0.0534 (0.0579) loss_contra: 0.0004 (0.0042) time: 2.7724 data: 0.0060 max mem: 31630 Epoch: [23] [2810/5278] eta: 1:52:24 lr: 2.2494628538084195e-05 loss: 0.0612 (0.0629) loss_seg: 0.0607 (0.0622) loss_lansim: 0.0534 (0.0579) loss_contra: 0.0003 (0.0042) time: 2.7735 data: 0.0058 max mem: 31630 Epoch: [23] [2820/5278] eta: 1:51:56 lr: 2.2492299218386272e-05 loss: 0.0613 (0.0628) loss_seg: 0.0609 (0.0622) loss_lansim: 0.0535 (0.0579) loss_contra: 0.0004 (0.0042) time: 2.7656 data: 0.0056 max mem: 31630 Epoch: [23] [2830/5278] eta: 1:51:29 lr: 2.2489969871885133e-05 loss: 0.0613 (0.0628) loss_seg: 0.0609 (0.0622) loss_lansim: 0.0536 (0.0579) loss_contra: 0.0003 (0.0042) time: 2.7623 data: 0.0055 max mem: 31630 Epoch: [23] [2840/5278] eta: 1:51:02 lr: 2.2487640498577393e-05 loss: 0.0625 (0.0629) loss_seg: 0.0620 (0.0623) loss_lansim: 0.0536 (0.0579) loss_contra: 0.0003 (0.0041) time: 2.7601 data: 0.0054 max mem: 31630 Epoch: [23] [2850/5278] eta: 1:50:35 lr: 2.248531109845966e-05 loss: 0.0635 (0.0629) loss_seg: 0.0629 (0.0623) loss_lansim: 0.0535 (0.0578) loss_contra: 0.0003 (0.0041) time: 2.7593 data: 0.0055 max mem: 31630 Epoch: [23] [2860/5278] eta: 1:50:09 lr: 2.2482981671528523e-05 loss: 0.0606 (0.0629) loss_seg: 0.0600 (0.0623) loss_lansim: 0.0536 (0.0578) loss_contra: 0.0003 (0.0041) time: 2.7642 data: 0.0055 max mem: 31630 Epoch: [23] [2870/5278] eta: 1:49:42 lr: 2.2480652217780602e-05 loss: 0.0603 (0.0629) loss_seg: 0.0597 (0.0623) loss_lansim: 0.0532 (0.0578) loss_contra: 0.0003 (0.0041) time: 2.7652 data: 0.0055 max mem: 31630 Epoch: [23] [2880/5278] eta: 1:49:15 lr: 2.2478322737212495e-05 loss: 0.0600 (0.0629) loss_seg: 0.0595 (0.0623) loss_lansim: 0.0529 (0.0578) loss_contra: 0.0003 (0.0041) time: 2.7713 data: 0.0055 max mem: 31630 Epoch: [23] [2890/5278] eta: 1:48:48 lr: 2.2475993229820812e-05 loss: 0.0598 (0.0630) loss_seg: 0.0593 (0.0624) loss_lansim: 0.0532 (0.0578) loss_contra: 0.0003 (0.0041) time: 2.7691 data: 0.0057 max mem: 31630 Epoch: [23] [2900/5278] eta: 1:48:21 lr: 2.2473663695602142e-05 loss: 0.0598 (0.0630) loss_seg: 0.0593 (0.0623) loss_lansim: 0.0532 (0.0578) loss_contra: 0.0003 (0.0041) time: 2.7776 data: 0.0058 max mem: 31630 Epoch: [23] [2910/5278] eta: 1:47:54 lr: 2.2471334134553097e-05 loss: 0.0592 (0.0630) loss_seg: 0.0588 (0.0624) loss_lansim: 0.0532 (0.0578) loss_contra: 0.0003 (0.0041) time: 2.7756 data: 0.0058 max mem: 31630 Epoch: [23] [2920/5278] eta: 1:47:27 lr: 2.2469004546670272e-05 loss: 0.0598 (0.0630) loss_seg: 0.0593 (0.0624) loss_lansim: 0.0530 (0.0577) loss_contra: 0.0003 (0.0041) time: 2.7829 data: 0.0058 max mem: 31630 Epoch: [23] [2930/5278] eta: 1:47:00 lr: 2.2466674931950272e-05 loss: 0.0599 (0.0630) loss_seg: 0.0594 (0.0624) loss_lansim: 0.0529 (0.0577) loss_contra: 0.0003 (0.0041) time: 2.7820 data: 0.0058 max mem: 31630 Epoch: [23] [2940/5278] eta: 1:46:33 lr: 2.246434529038969e-05 loss: 0.0599 (0.0630) loss_seg: 0.0594 (0.0624) loss_lansim: 0.0529 (0.0577) loss_contra: 0.0003 (0.0041) time: 2.7874 data: 0.0058 max mem: 31630 Epoch: [23] [2950/5278] eta: 1:46:06 lr: 2.246201562198512e-05 loss: 0.0603 (0.0631) loss_seg: 0.0597 (0.0624) loss_lansim: 0.0529 (0.0577) loss_contra: 0.0003 (0.0041) time: 2.7849 data: 0.0057 max mem: 31630 Epoch: [23] [2960/5278] eta: 1:45:39 lr: 2.2459685926733167e-05 loss: 0.0613 (0.0631) loss_seg: 0.0607 (0.0625) loss_lansim: 0.0527 (0.0577) loss_contra: 0.0003 (0.0041) time: 2.7826 data: 0.0057 max mem: 31630 Epoch: [23] [2970/5278] eta: 1:45:12 lr: 2.2457356204630433e-05 loss: 0.0624 (0.0631) loss_seg: 0.0618 (0.0625) loss_lansim: 0.0529 (0.0577) loss_contra: 0.0003 (0.0041) time: 2.7829 data: 0.0056 max mem: 31630 Epoch: [23] [2980/5278] eta: 1:44:45 lr: 2.24550264556735e-05 loss: 0.0623 (0.0631) loss_seg: 0.0616 (0.0625) loss_lansim: 0.0529 (0.0576) loss_contra: 0.0003 (0.0041) time: 2.7780 data: 0.0057 max mem: 31630 Epoch: [23] [2990/5278] eta: 1:44:18 lr: 2.2452696679858966e-05 loss: 0.0610 (0.0631) loss_seg: 0.0602 (0.0624) loss_lansim: 0.0530 (0.0576) loss_contra: 0.0003 (0.0041) time: 2.7836 data: 0.0055 max mem: 31630 Epoch: [23] [3000/5278] eta: 1:43:51 lr: 2.245036687718343e-05 loss: 0.0612 (0.0630) loss_seg: 0.0604 (0.0624) loss_lansim: 0.0529 (0.0576) loss_contra: 0.0003 (0.0041) time: 2.7778 data: 0.0054 max mem: 31630 Epoch: [23] [3010/5278] eta: 1:43:24 lr: 2.2448037047643486e-05 loss: 0.0612 (0.0630) loss_seg: 0.0604 (0.0624) loss_lansim: 0.0529 (0.0576) loss_contra: 0.0003 (0.0041) time: 2.7814 data: 0.0054 max mem: 31630 Epoch: [23] [3020/5278] eta: 1:42:57 lr: 2.244570719123572e-05 loss: 0.0610 (0.0630) loss_seg: 0.0602 (0.0624) loss_lansim: 0.0526 (0.0576) loss_contra: 0.0003 (0.0040) time: 2.7821 data: 0.0055 max mem: 31630 Epoch: [23] [3030/5278] eta: 1:42:31 lr: 2.244337730795672e-05 loss: 0.0612 (0.0631) loss_seg: 0.0607 (0.0624) loss_lansim: 0.0518 (0.0576) loss_contra: 0.0005 (0.0040) time: 2.7880 data: 0.0056 max mem: 31630 Epoch: [23] [3040/5278] eta: 1:42:04 lr: 2.2441047397803087e-05 loss: 0.0610 (0.0631) loss_seg: 0.0604 (0.0624) loss_lansim: 0.0518 (0.0575) loss_contra: 0.0003 (0.0040) time: 2.7908 data: 0.0058 max mem: 31630 Epoch: [23] [3050/5278] eta: 1:41:37 lr: 2.2438717460771404e-05 loss: 0.0588 (0.0630) loss_seg: 0.0582 (0.0624) loss_lansim: 0.0514 (0.0575) loss_contra: 0.0003 (0.0040) time: 2.7920 data: 0.0058 max mem: 31630 Epoch: [23] [3060/5278] eta: 1:41:10 lr: 2.243638749685827e-05 loss: 0.0577 (0.0631) loss_seg: 0.0572 (0.0625) loss_lansim: 0.0514 (0.0575) loss_contra: 0.0002 (0.0040) time: 2.7938 data: 0.0059 max mem: 31630 Epoch: [23] [3070/5278] eta: 1:40:43 lr: 2.2434057506060256e-05 loss: 0.0559 (0.0630) loss_seg: 0.0554 (0.0624) loss_lansim: 0.0514 (0.0575) loss_contra: 0.0002 (0.0040) time: 2.7874 data: 0.0059 max mem: 31630 Epoch: [23] [3080/5278] eta: 1:40:15 lr: 2.2431727488373957e-05 loss: 0.0569 (0.0631) loss_seg: 0.0564 (0.0625) loss_lansim: 0.0509 (0.0575) loss_contra: 0.0002 (0.0040) time: 2.7880 data: 0.0059 max mem: 31630 Epoch: [23] [3090/5278] eta: 1:39:48 lr: 2.2429397443795965e-05 loss: 0.0557 (0.0631) loss_seg: 0.0552 (0.0625) loss_lansim: 0.0506 (0.0574) loss_contra: 0.0002 (0.0040) time: 2.7853 data: 0.0059 max mem: 31630 Epoch: [23] [3100/5278] eta: 1:39:21 lr: 2.242706737232286e-05 loss: 0.0577 (0.0631) loss_seg: 0.0572 (0.0625) loss_lansim: 0.0506 (0.0574) loss_contra: 0.0002 (0.0040) time: 2.7863 data: 0.0059 max mem: 31630 Epoch: [23] [3110/5278] eta: 1:38:54 lr: 2.2424737273951228e-05 loss: 0.0571 (0.0631) loss_seg: 0.0566 (0.0625) loss_lansim: 0.0508 (0.0574) loss_contra: 0.0002 (0.0040) time: 2.7851 data: 0.0059 max mem: 31630 Epoch: [23] [3120/5278] eta: 1:38:27 lr: 2.242240714867765e-05 loss: 0.0565 (0.0631) loss_seg: 0.0559 (0.0625) loss_lansim: 0.0515 (0.0574) loss_contra: 0.0002 (0.0040) time: 2.7802 data: 0.0059 max mem: 31630 Epoch: [23] [3130/5278] eta: 1:38:00 lr: 2.242007699649871e-05 loss: 0.0557 (0.0631) loss_seg: 0.0552 (0.0625) loss_lansim: 0.0518 (0.0574) loss_contra: 0.0002 (0.0040) time: 2.7761 data: 0.0058 max mem: 31630 Epoch: [23] [3140/5278] eta: 1:37:33 lr: 2.2417746817411002e-05 loss: 0.0558 (0.0631) loss_seg: 0.0553 (0.0625) loss_lansim: 0.0519 (0.0574) loss_contra: 0.0003 (0.0040) time: 2.7695 data: 0.0056 max mem: 31630 Epoch: [23] [3150/5278] eta: 1:37:06 lr: 2.2415416611411088e-05 loss: 0.0558 (0.0631) loss_seg: 0.0553 (0.0625) loss_lansim: 0.0522 (0.0574) loss_contra: 0.0002 (0.0040) time: 2.7702 data: 0.0056 max mem: 31630 Epoch: [23] [3160/5278] eta: 1:36:38 lr: 2.241308637849556e-05 loss: 0.0565 (0.0631) loss_seg: 0.0558 (0.0625) loss_lansim: 0.0524 (0.0574) loss_contra: 0.0003 (0.0040) time: 2.7643 data: 0.0055 max mem: 31630 Epoch: [23] [3170/5278] eta: 1:36:11 lr: 2.2410756118660993e-05 loss: 0.0575 (0.0631) loss_seg: 0.0569 (0.0625) loss_lansim: 0.0525 (0.0573) loss_contra: 0.0003 (0.0040) time: 2.7710 data: 0.0056 max mem: 31630 Epoch: [23] [3180/5278] eta: 1:35:44 lr: 2.240842583190398e-05 loss: 0.0575 (0.0631) loss_seg: 0.0569 (0.0625) loss_lansim: 0.0526 (0.0573) loss_contra: 0.0003 (0.0039) time: 2.7753 data: 0.0058 max mem: 31630 Epoch: [23] [3190/5278] eta: 1:35:17 lr: 2.2406095518221078e-05 loss: 0.0583 (0.0631) loss_seg: 0.0578 (0.0625) loss_lansim: 0.0528 (0.0573) loss_contra: 0.0003 (0.0040) time: 2.7747 data: 0.0060 max mem: 31630 Epoch: [23] [3200/5278] eta: 1:34:50 lr: 2.2403765177608875e-05 loss: 0.0580 (0.0632) loss_seg: 0.0575 (0.0625) loss_lansim: 0.0528 (0.0573) loss_contra: 0.0003 (0.0040) time: 2.7729 data: 0.0059 max mem: 31630 Epoch: [23] [3210/5278] eta: 1:34:23 lr: 2.2401434810063942e-05 loss: 0.0587 (0.0632) loss_seg: 0.0582 (0.0625) loss_lansim: 0.0525 (0.0573) loss_contra: 0.0003 (0.0040) time: 2.7718 data: 0.0061 max mem: 31630 Epoch: [23] [3220/5278] eta: 1:33:56 lr: 2.239910441558287e-05 loss: 0.0606 (0.0632) loss_seg: 0.0601 (0.0626) loss_lansim: 0.0522 (0.0573) loss_contra: 0.0004 (0.0040) time: 2.7758 data: 0.0063 max mem: 31630 Epoch: [23] [3230/5278] eta: 1:33:28 lr: 2.2396773994162216e-05 loss: 0.0607 (0.0632) loss_seg: 0.0602 (0.0626) loss_lansim: 0.0515 (0.0572) loss_contra: 0.0004 (0.0040) time: 2.7755 data: 0.0065 max mem: 31630 Epoch: [23] [3240/5278] eta: 1:33:01 lr: 2.239444354579856e-05 loss: 0.0592 (0.0632) loss_seg: 0.0588 (0.0626) loss_lansim: 0.0502 (0.0572) loss_contra: 0.0004 (0.0040) time: 2.7805 data: 0.0067 max mem: 31630 Epoch: [23] [3250/5278] eta: 1:32:34 lr: 2.2392113070488473e-05 loss: 0.0580 (0.0631) loss_seg: 0.0575 (0.0625) loss_lansim: 0.0498 (0.0571) loss_contra: 0.0005 (0.0040) time: 2.7775 data: 0.0069 max mem: 31630 Epoch: [23] [3260/5278] eta: 1:32:07 lr: 2.238978256822854e-05 loss: 0.0580 (0.0631) loss_seg: 0.0575 (0.0625) loss_lansim: 0.0484 (0.0571) loss_contra: 0.0005 (0.0040) time: 2.7840 data: 0.0071 max mem: 31630 Epoch: [23] [3270/5278] eta: 1:31:40 lr: 2.2387452039015317e-05 loss: 0.0580 (0.0632) loss_seg: 0.0575 (0.0626) loss_lansim: 0.0467 (0.0571) loss_contra: 0.0004 (0.0040) time: 2.7833 data: 0.0071 max mem: 31630 Epoch: [23] [3280/5278] eta: 1:31:13 lr: 2.238512148284538e-05 loss: 0.0579 (0.0632) loss_seg: 0.0574 (0.0626) loss_lansim: 0.0456 (0.0570) loss_contra: 0.0005 (0.0040) time: 2.7831 data: 0.0072 max mem: 31630 Epoch: [23] [3290/5278] eta: 1:30:46 lr: 2.2382790899715294e-05 loss: 0.0578 (0.0631) loss_seg: 0.0573 (0.0625) loss_lansim: 0.0449 (0.0570) loss_contra: 0.0007 (0.0040) time: 2.7856 data: 0.0071 max mem: 31630 Epoch: [23] [3300/5278] eta: 1:30:19 lr: 2.238046028962164e-05 loss: 0.0546 (0.0631) loss_seg: 0.0541 (0.0625) loss_lansim: 0.0441 (0.0569) loss_contra: 0.0006 (0.0040) time: 2.7904 data: 0.0071 max mem: 31630 Epoch: [23] [3310/5278] eta: 1:29:52 lr: 2.2378129652560977e-05 loss: 0.0543 (0.0631) loss_seg: 0.0537 (0.0625) loss_lansim: 0.0432 (0.0569) loss_contra: 0.0008 (0.0040) time: 2.7954 data: 0.0071 max mem: 31630 Epoch: [23] [3320/5278] eta: 1:29:25 lr: 2.2375798988529874e-05 loss: 0.0543 (0.0631) loss_seg: 0.0537 (0.0625) loss_lansim: 0.0428 (0.0568) loss_contra: 0.0007 (0.0040) time: 2.7972 data: 0.0070 max mem: 31630 Epoch: [23] [3330/5278] eta: 1:28:58 lr: 2.2373468297524898e-05 loss: 0.0546 (0.0631) loss_seg: 0.0541 (0.0625) loss_lansim: 0.0426 (0.0568) loss_contra: 0.0007 (0.0040) time: 2.7962 data: 0.0069 max mem: 31630 Epoch: [23] [3340/5278] eta: 1:28:31 lr: 2.237113757954261e-05 loss: 0.0543 (0.0631) loss_seg: 0.0537 (0.0625) loss_lansim: 0.0426 (0.0567) loss_contra: 0.0006 (0.0040) time: 2.7981 data: 0.0067 max mem: 31630 Epoch: [23] [3350/5278] eta: 1:28:04 lr: 2.236880683457959e-05 loss: 0.0546 (0.0631) loss_seg: 0.0541 (0.0625) loss_lansim: 0.0424 (0.0567) loss_contra: 0.0006 (0.0040) time: 2.7983 data: 0.0066 max mem: 31630 Epoch: [23] [3360/5278] eta: 1:27:37 lr: 2.236647606263238e-05 loss: 0.0543 (0.0631) loss_seg: 0.0537 (0.0625) loss_lansim: 0.0425 (0.0567) loss_contra: 0.0006 (0.0040) time: 2.7998 data: 0.0065 max mem: 31630 Epoch: [23] [3370/5278] eta: 1:27:10 lr: 2.236414526369756e-05 loss: 0.0548 (0.0631) loss_seg: 0.0542 (0.0625) loss_lansim: 0.0426 (0.0566) loss_contra: 0.0006 (0.0040) time: 2.7986 data: 0.0064 max mem: 31630 Epoch: [23] [3380/5278] eta: 1:26:42 lr: 2.236181443777168e-05 loss: 0.0547 (0.0631) loss_seg: 0.0541 (0.0625) loss_lansim: 0.0426 (0.0566) loss_contra: 0.0006 (0.0040) time: 2.7988 data: 0.0062 max mem: 31630 Epoch: [23] [3390/5278] eta: 1:26:15 lr: 2.235948358485132e-05 loss: 0.0544 (0.0630) loss_seg: 0.0539 (0.0624) loss_lansim: 0.0429 (0.0566) loss_contra: 0.0005 (0.0040) time: 2.7942 data: 0.0061 max mem: 31630 Epoch: [23] [3400/5278] eta: 1:25:48 lr: 2.2357152704933018e-05 loss: 0.0565 (0.0630) loss_seg: 0.0561 (0.0624) loss_lansim: 0.0429 (0.0565) loss_contra: 0.0005 (0.0040) time: 2.7910 data: 0.0060 max mem: 31630 Epoch: [23] [3410/5278] eta: 1:25:21 lr: 2.2354821798013344e-05 loss: 0.0565 (0.0630) loss_seg: 0.0561 (0.0624) loss_lansim: 0.0431 (0.0565) loss_contra: 0.0004 (0.0040) time: 2.7858 data: 0.0059 max mem: 31630 Epoch: [23] [3420/5278] eta: 1:24:53 lr: 2.235249086408886e-05 loss: 0.0548 (0.0630) loss_seg: 0.0542 (0.0624) loss_lansim: 0.0431 (0.0564) loss_contra: 0.0004 (0.0040) time: 2.7832 data: 0.0058 max mem: 31630 Epoch: [23] [3430/5278] eta: 1:24:26 lr: 2.2350159903156123e-05 loss: 0.0551 (0.0630) loss_seg: 0.0546 (0.0624) loss_lansim: 0.0429 (0.0564) loss_contra: 0.0004 (0.0040) time: 2.7806 data: 0.0057 max mem: 31630 Epoch: [23] [3440/5278] eta: 1:23:59 lr: 2.2347828915211686e-05 loss: 0.0577 (0.0631) loss_seg: 0.0565 (0.0624) loss_lansim: 0.0431 (0.0564) loss_contra: 0.0004 (0.0040) time: 2.7800 data: 0.0057 max mem: 31630 Epoch: [23] [3450/5278] eta: 1:23:32 lr: 2.234549790025211e-05 loss: 0.0551 (0.0630) loss_seg: 0.0546 (0.0624) loss_lansim: 0.0430 (0.0563) loss_contra: 0.0004 (0.0041) time: 2.7791 data: 0.0056 max mem: 31630 Epoch: [23] [3460/5278] eta: 1:23:05 lr: 2.2343166858273942e-05 loss: 0.0548 (0.0630) loss_seg: 0.0544 (0.0624) loss_lansim: 0.0425 (0.0563) loss_contra: 0.0004 (0.0041) time: 2.7825 data: 0.0057 max mem: 31630 Epoch: [23] [3470/5278] eta: 1:22:38 lr: 2.2340835789273754e-05 loss: 0.0546 (0.0630) loss_seg: 0.0542 (0.0624) loss_lansim: 0.0425 (0.0562) loss_contra: 0.0004 (0.0041) time: 2.7834 data: 0.0059 max mem: 31630 Epoch: [23] [3480/5278] eta: 1:22:10 lr: 2.233850469324808e-05 loss: 0.0546 (0.0630) loss_seg: 0.0542 (0.0624) loss_lansim: 0.0426 (0.0562) loss_contra: 0.0004 (0.0041) time: 2.7822 data: 0.0060 max mem: 31630 Epoch: [23] [3490/5278] eta: 1:21:43 lr: 2.2336173570193484e-05 loss: 0.0570 (0.0630) loss_seg: 0.0561 (0.0624) loss_lansim: 0.0426 (0.0562) loss_contra: 0.0004 (0.0040) time: 2.7838 data: 0.0062 max mem: 31630 Epoch: [23] [3500/5278] eta: 1:21:16 lr: 2.2333842420106517e-05 loss: 0.0537 (0.0629) loss_seg: 0.0533 (0.0623) loss_lansim: 0.0430 (0.0561) loss_contra: 0.0003 (0.0041) time: 2.7867 data: 0.0063 max mem: 31630 Epoch: [23] [3510/5278] eta: 1:20:49 lr: 2.233151124298373e-05 loss: 0.0527 (0.0629) loss_seg: 0.0523 (0.0623) loss_lansim: 0.0431 (0.0561) loss_contra: 0.0004 (0.0041) time: 2.7874 data: 0.0063 max mem: 31630 Epoch: [23] [3520/5278] eta: 1:20:22 lr: 2.2329180038821673e-05 loss: 0.0524 (0.0629) loss_seg: 0.0518 (0.0623) loss_lansim: 0.0426 (0.0561) loss_contra: 0.0004 (0.0041) time: 2.7915 data: 0.0064 max mem: 31630 Epoch: [23] [3530/5278] eta: 1:19:54 lr: 2.2326848807616895e-05 loss: 0.0486 (0.0628) loss_seg: 0.0481 (0.0622) loss_lansim: 0.0426 (0.0560) loss_contra: 0.0004 (0.0041) time: 2.7951 data: 0.0064 max mem: 31630 Epoch: [23] [3540/5278] eta: 1:19:27 lr: 2.2324517549365945e-05 loss: 0.0502 (0.0629) loss_seg: 0.0497 (0.0623) loss_lansim: 0.0426 (0.0560) loss_contra: 0.0004 (0.0040) time: 2.7939 data: 0.0065 max mem: 31630 Epoch: [23] [3550/5278] eta: 1:19:00 lr: 2.2322186264065374e-05 loss: 0.0486 (0.0629) loss_seg: 0.0481 (0.0623) loss_lansim: 0.0426 (0.0559) loss_contra: 0.0003 (0.0040) time: 2.7980 data: 0.0066 max mem: 31630 Epoch: [23] [3560/5278] eta: 1:18:33 lr: 2.231985495171173e-05 loss: 0.0486 (0.0630) loss_seg: 0.0481 (0.0624) loss_lansim: 0.0432 (0.0559) loss_contra: 0.0003 (0.0040) time: 2.7928 data: 0.0066 max mem: 31630 Epoch: [23] [3570/5278] eta: 1:18:06 lr: 2.231752361230155e-05 loss: 0.0508 (0.0630) loss_seg: 0.0504 (0.0624) loss_lansim: 0.0429 (0.0559) loss_contra: 0.0003 (0.0040) time: 2.8002 data: 0.0065 max mem: 31630 Epoch: [23] [3580/5278] eta: 1:17:39 lr: 2.2315192245831388e-05 loss: 0.0502 (0.0629) loss_seg: 0.0497 (0.0623) loss_lansim: 0.0431 (0.0558) loss_contra: 0.0003 (0.0040) time: 2.8002 data: 0.0065 max mem: 31630 Epoch: [23] [3590/5278] eta: 1:17:12 lr: 2.2312860852297784e-05 loss: 0.0502 (0.0629) loss_seg: 0.0497 (0.0623) loss_lansim: 0.0429 (0.0558) loss_contra: 0.0003 (0.0040) time: 2.8049 data: 0.0065 max mem: 31630 Epoch: [23] [3600/5278] eta: 1:16:45 lr: 2.2310529431697293e-05 loss: 0.0512 (0.0629) loss_seg: 0.0507 (0.0623) loss_lansim: 0.0431 (0.0558) loss_contra: 0.0003 (0.0040) time: 2.8020 data: 0.0064 max mem: 31630 Epoch: [23] [3610/5278] eta: 1:16:17 lr: 2.230819798402644e-05 loss: 0.0537 (0.0630) loss_seg: 0.0533 (0.0624) loss_lansim: 0.0433 (0.0557) loss_contra: 0.0002 (0.0040) time: 2.8059 data: 0.0063 max mem: 31630 Epoch: [23] [3620/5278] eta: 1:15:50 lr: 2.2305866509281778e-05 loss: 0.0522 (0.0629) loss_seg: 0.0517 (0.0623) loss_lansim: 0.0435 (0.0557) loss_contra: 0.0002 (0.0040) time: 2.8053 data: 0.0064 max mem: 31630 Epoch: [23] [3630/5278] eta: 1:15:23 lr: 2.2303535007459846e-05 loss: 0.0531 (0.0629) loss_seg: 0.0527 (0.0623) loss_lansim: 0.0437 (0.0557) loss_contra: 0.0002 (0.0040) time: 2.8096 data: 0.0064 max mem: 31630 Epoch: [23] [3640/5278] eta: 1:14:56 lr: 2.230120347855719e-05 loss: 0.0521 (0.0629) loss_seg: 0.0516 (0.0623) loss_lansim: 0.0436 (0.0556) loss_contra: 0.0002 (0.0040) time: 2.8119 data: 0.0065 max mem: 31630 Epoch: [23] [3650/5278] eta: 1:14:29 lr: 2.229887192257034e-05 loss: 0.0515 (0.0629) loss_seg: 0.0511 (0.0623) loss_lansim: 0.0435 (0.0556) loss_contra: 0.0003 (0.0040) time: 2.8107 data: 0.0064 max mem: 31630 Epoch: [23] [3660/5278] eta: 1:14:02 lr: 2.229654033949584e-05 loss: 0.0512 (0.0628) loss_seg: 0.0508 (0.0622) loss_lansim: 0.0435 (0.0556) loss_contra: 0.0003 (0.0040) time: 2.8148 data: 0.0063 max mem: 31630 Epoch: [23] [3670/5278] eta: 1:13:34 lr: 2.2294208729330227e-05 loss: 0.0502 (0.0628) loss_seg: 0.0498 (0.0622) loss_lansim: 0.0435 (0.0555) loss_contra: 0.0003 (0.0040) time: 2.8068 data: 0.0063 max mem: 31630 Epoch: [23] [3680/5278] eta: 1:13:07 lr: 2.229187709207004e-05 loss: 0.0499 (0.0628) loss_seg: 0.0494 (0.0622) loss_lansim: 0.0435 (0.0555) loss_contra: 0.0003 (0.0040) time: 2.8059 data: 0.0063 max mem: 31630 Epoch: [23] [3690/5278] eta: 1:12:40 lr: 2.228954542771181e-05 loss: 0.0499 (0.0628) loss_seg: 0.0494 (0.0622) loss_lansim: 0.0435 (0.0555) loss_contra: 0.0004 (0.0040) time: 2.7979 data: 0.0062 max mem: 31630 Epoch: [23] [3700/5278] eta: 1:12:12 lr: 2.2287213736252078e-05 loss: 0.0499 (0.0628) loss_seg: 0.0494 (0.0622) loss_lansim: 0.0427 (0.0554) loss_contra: 0.0004 (0.0040) time: 2.7997 data: 0.0062 max mem: 31630 Epoch: [23] [3710/5278] eta: 1:11:45 lr: 2.2284882017687374e-05 loss: 0.0497 (0.0629) loss_seg: 0.0492 (0.0623) loss_lansim: 0.0427 (0.0554) loss_contra: 0.0005 (0.0040) time: 2.7947 data: 0.0061 max mem: 31630 Epoch: [23] [3720/5278] eta: 1:11:18 lr: 2.2282550272014242e-05 loss: 0.0520 (0.0628) loss_seg: 0.0516 (0.0622) loss_lansim: 0.0423 (0.0554) loss_contra: 0.0005 (0.0039) time: 2.7878 data: 0.0061 max mem: 31630 Epoch: [23] [3730/5278] eta: 1:10:50 lr: 2.22802184992292e-05 loss: 0.0521 (0.0628) loss_seg: 0.0517 (0.0622) loss_lansim: 0.0422 (0.0553) loss_contra: 0.0005 (0.0039) time: 2.7822 data: 0.0060 max mem: 31630 Epoch: [23] [3740/5278] eta: 1:10:23 lr: 2.2277886699328786e-05 loss: 0.0506 (0.0628) loss_seg: 0.0502 (0.0622) loss_lansim: 0.0424 (0.0553) loss_contra: 0.0004 (0.0039) time: 2.7745 data: 0.0059 max mem: 31630 Epoch: [23] [3750/5278] eta: 1:09:55 lr: 2.227555487230953e-05 loss: 0.0506 (0.0628) loss_seg: 0.0502 (0.0622) loss_lansim: 0.0427 (0.0553) loss_contra: 0.0004 (0.0039) time: 2.7728 data: 0.0059 max mem: 31630 Epoch: [23] [3760/5278] eta: 1:09:28 lr: 2.2273223018167974e-05 loss: 0.0506 (0.0628) loss_seg: 0.0502 (0.0622) loss_lansim: 0.0427 (0.0552) loss_contra: 0.0003 (0.0039) time: 2.7625 data: 0.0058 max mem: 31630 Epoch: [23] [3770/5278] eta: 1:09:01 lr: 2.2270891136900632e-05 loss: 0.0506 (0.0628) loss_seg: 0.0502 (0.0622) loss_lansim: 0.0424 (0.0552) loss_contra: 0.0003 (0.0039) time: 2.7632 data: 0.0058 max mem: 31630 Epoch: [23] [3780/5278] eta: 1:08:33 lr: 2.2268559228504034e-05 loss: 0.0531 (0.0628) loss_seg: 0.0527 (0.0622) loss_lansim: 0.0426 (0.0552) loss_contra: 0.0003 (0.0039) time: 2.7620 data: 0.0057 max mem: 31630 Epoch: [23] [3790/5278] eta: 1:08:06 lr: 2.2266227292974715e-05 loss: 0.0537 (0.0628) loss_seg: 0.0532 (0.0622) loss_lansim: 0.0426 (0.0551) loss_contra: 0.0003 (0.0039) time: 2.7673 data: 0.0057 max mem: 31630 Epoch: [23] [3800/5278] eta: 1:07:39 lr: 2.2263895330309197e-05 loss: 0.0531 (0.0628) loss_seg: 0.0527 (0.0622) loss_lansim: 0.0427 (0.0551) loss_contra: 0.0003 (0.0039) time: 2.7647 data: 0.0057 max mem: 31630 Epoch: [23] [3810/5278] eta: 1:07:11 lr: 2.2261563340504015e-05 loss: 0.0537 (0.0628) loss_seg: 0.0532 (0.0622) loss_lansim: 0.0429 (0.0551) loss_contra: 0.0003 (0.0039) time: 2.7641 data: 0.0057 max mem: 31630 Epoch: [23] [3820/5278] eta: 1:06:44 lr: 2.2259231323555683e-05 loss: 0.0549 (0.0629) loss_seg: 0.0545 (0.0623) loss_lansim: 0.0432 (0.0551) loss_contra: 0.0003 (0.0039) time: 2.7699 data: 0.0057 max mem: 31630 Epoch: [23] [3830/5278] eta: 1:06:17 lr: 2.2256899279460727e-05 loss: 0.0549 (0.0628) loss_seg: 0.0545 (0.0623) loss_lansim: 0.0434 (0.0550) loss_contra: 0.0003 (0.0039) time: 2.7710 data: 0.0057 max mem: 31630 Epoch: [23] [3840/5278] eta: 1:05:49 lr: 2.2254567208215672e-05 loss: 0.0558 (0.0628) loss_seg: 0.0553 (0.0622) loss_lansim: 0.0436 (0.0550) loss_contra: 0.0003 (0.0039) time: 2.7735 data: 0.0057 max mem: 31630 Epoch: [23] [3850/5278] eta: 1:05:22 lr: 2.225223510981705e-05 loss: 0.0559 (0.0628) loss_seg: 0.0555 (0.0622) loss_lansim: 0.0436 (0.0550) loss_contra: 0.0003 (0.0039) time: 2.7715 data: 0.0057 max mem: 31630 Epoch: [23] [3860/5278] eta: 1:04:55 lr: 2.2249902984261366e-05 loss: 0.0584 (0.0628) loss_seg: 0.0580 (0.0622) loss_lansim: 0.0442 (0.0550) loss_contra: 0.0004 (0.0039) time: 2.7811 data: 0.0059 max mem: 31630 Epoch: [23] [3870/5278] eta: 1:04:27 lr: 2.2247570831545155e-05 loss: 0.0591 (0.0629) loss_seg: 0.0587 (0.0623) loss_lansim: 0.0448 (0.0549) loss_contra: 0.0004 (0.0039) time: 2.7862 data: 0.0060 max mem: 31630 Epoch: [23] [3880/5278] eta: 1:04:00 lr: 2.2245238651664922e-05 loss: 0.0564 (0.0628) loss_seg: 0.0560 (0.0623) loss_lansim: 0.0448 (0.0549) loss_contra: 0.0004 (0.0039) time: 2.7887 data: 0.0061 max mem: 31630 Epoch: [23] [3890/5278] eta: 1:03:33 lr: 2.224290644461721e-05 loss: 0.0568 (0.0628) loss_seg: 0.0564 (0.0622) loss_lansim: 0.0447 (0.0549) loss_contra: 0.0004 (0.0039) time: 2.7876 data: 0.0061 max mem: 31630 Epoch: [23] [3900/5278] eta: 1:03:05 lr: 2.2240574210398512e-05 loss: 0.0568 (0.0628) loss_seg: 0.0564 (0.0622) loss_lansim: 0.0442 (0.0548) loss_contra: 0.0004 (0.0039) time: 2.7894 data: 0.0061 max mem: 31630 Epoch: [23] [3910/5278] eta: 1:02:38 lr: 2.223824194900536e-05 loss: 0.0564 (0.0628) loss_seg: 0.0560 (0.0622) loss_lansim: 0.0441 (0.0548) loss_contra: 0.0005 (0.0039) time: 2.7916 data: 0.0062 max mem: 31630 Epoch: [23] [3920/5278] eta: 1:02:11 lr: 2.2235909660434262e-05 loss: 0.0570 (0.0628) loss_seg: 0.0564 (0.0622) loss_lansim: 0.0441 (0.0548) loss_contra: 0.0005 (0.0039) time: 2.7894 data: 0.0064 max mem: 31630 Epoch: [23] [3930/5278] eta: 1:01:44 lr: 2.223357734468175e-05 loss: 0.0559 (0.0628) loss_seg: 0.0555 (0.0622) loss_lansim: 0.0442 (0.0548) loss_contra: 0.0005 (0.0039) time: 2.7927 data: 0.0063 max mem: 31630 Epoch: [23] [3940/5278] eta: 1:01:16 lr: 2.223124500174432e-05 loss: 0.0559 (0.0628) loss_seg: 0.0554 (0.0622) loss_lansim: 0.0442 (0.0548) loss_contra: 0.0005 (0.0039) time: 2.7912 data: 0.0064 max mem: 31630 Epoch: [23] [3950/5278] eta: 1:00:49 lr: 2.2228912631618495e-05 loss: 0.0559 (0.0628) loss_seg: 0.0554 (0.0622) loss_lansim: 0.0445 (0.0547) loss_contra: 0.0006 (0.0039) time: 2.7980 data: 0.0065 max mem: 31630 Epoch: [23] [3960/5278] eta: 1:00:21 lr: 2.2226580234300786e-05 loss: 0.0568 (0.0629) loss_seg: 0.0564 (0.0623) loss_lansim: 0.0444 (0.0547) loss_contra: 0.0005 (0.0039) time: 2.7896 data: 0.0064 max mem: 31630 Epoch: [23] [3970/5278] eta: 0:59:54 lr: 2.2224247809787714e-05 loss: 0.0556 (0.0629) loss_seg: 0.0552 (0.0623) loss_lansim: 0.0445 (0.0547) loss_contra: 0.0005 (0.0039) time: 2.7811 data: 0.0063 max mem: 31630 Epoch: [23] [3980/5278] eta: 0:59:27 lr: 2.2221915358075775e-05 loss: 0.0568 (0.0629) loss_seg: 0.0564 (0.0623) loss_lansim: 0.0446 (0.0547) loss_contra: 0.0005 (0.0039) time: 2.7818 data: 0.0063 max mem: 31630 Epoch: [23] [3990/5278] eta: 0:58:59 lr: 2.2219582879161494e-05 loss: 0.0573 (0.0629) loss_seg: 0.0569 (0.0623) loss_lansim: 0.0448 (0.0547) loss_contra: 0.0005 (0.0039) time: 2.7828 data: 0.0064 max mem: 31630 Epoch: [23] [4000/5278] eta: 0:58:32 lr: 2.2217250373041372e-05 loss: 0.0566 (0.0629) loss_seg: 0.0561 (0.0623) loss_lansim: 0.0449 (0.0546) loss_contra: 0.0005 (0.0039) time: 2.7847 data: 0.0065 max mem: 31630 Epoch: [23] [4010/5278] eta: 0:58:05 lr: 2.2214917839711922e-05 loss: 0.0559 (0.0629) loss_seg: 0.0554 (0.0623) loss_lansim: 0.0456 (0.0546) loss_contra: 0.0004 (0.0039) time: 2.7870 data: 0.0065 max mem: 31630 Epoch: [23] [4020/5278] eta: 0:57:37 lr: 2.2212585279169652e-05 loss: 0.0556 (0.0629) loss_seg: 0.0552 (0.0623) loss_lansim: 0.0462 (0.0546) loss_contra: 0.0005 (0.0039) time: 2.7890 data: 0.0064 max mem: 31630 Epoch: [23] [4030/5278] eta: 0:57:10 lr: 2.2210252691411065e-05 loss: 0.0579 (0.0629) loss_seg: 0.0574 (0.0624) loss_lansim: 0.0458 (0.0546) loss_contra: 0.0006 (0.0039) time: 2.7896 data: 0.0065 max mem: 31630 Epoch: [23] [4040/5278] eta: 0:56:43 lr: 2.220792007643267e-05 loss: 0.0579 (0.0629) loss_seg: 0.0574 (0.0623) loss_lansim: 0.0454 (0.0545) loss_contra: 0.0006 (0.0039) time: 2.7897 data: 0.0064 max mem: 31630 Epoch: [23] [4050/5278] eta: 0:56:15 lr: 2.220558743423098e-05 loss: 0.0579 (0.0629) loss_seg: 0.0574 (0.0624) loss_lansim: 0.0452 (0.0545) loss_contra: 0.0005 (0.0039) time: 2.7876 data: 0.0063 max mem: 31630 Epoch: [23] [4060/5278] eta: 0:55:48 lr: 2.2203254764802493e-05 loss: 0.0561 (0.0630) loss_seg: 0.0557 (0.0624) loss_lansim: 0.0449 (0.0545) loss_contra: 0.0006 (0.0039) time: 2.7908 data: 0.0063 max mem: 31630 Epoch: [23] [4070/5278] eta: 0:55:20 lr: 2.2200922068143705e-05 loss: 0.0566 (0.0630) loss_seg: 0.0561 (0.0624) loss_lansim: 0.0443 (0.0545) loss_contra: 0.0008 (0.0040) time: 2.7905 data: 0.0063 max mem: 31630 Epoch: [23] [4080/5278] eta: 0:54:53 lr: 2.2198589344251135e-05 loss: 0.0566 (0.0629) loss_seg: 0.0561 (0.0623) loss_lansim: 0.0444 (0.0544) loss_contra: 0.0008 (0.0040) time: 2.7867 data: 0.0063 max mem: 31630 Epoch: [23] [4090/5278] eta: 0:54:25 lr: 2.219625659312127e-05 loss: 0.0560 (0.0629) loss_seg: 0.0556 (0.0623) loss_lansim: 0.0441 (0.0544) loss_contra: 0.0008 (0.0040) time: 2.7829 data: 0.0063 max mem: 31630 Epoch: [23] [4100/5278] eta: 0:53:58 lr: 2.219392381475063e-05 loss: 0.0561 (0.0629) loss_seg: 0.0557 (0.0623) loss_lansim: 0.0439 (0.0544) loss_contra: 0.0008 (0.0040) time: 2.7825 data: 0.0063 max mem: 31630 Epoch: [23] [4110/5278] eta: 0:53:31 lr: 2.2191591009135692e-05 loss: 0.0561 (0.0629) loss_seg: 0.0557 (0.0623) loss_lansim: 0.0436 (0.0544) loss_contra: 0.0008 (0.0040) time: 2.7817 data: 0.0063 max mem: 31630 Epoch: [23] [4120/5278] eta: 0:53:03 lr: 2.218925817627297e-05 loss: 0.0560 (0.0629) loss_seg: 0.0556 (0.0623) loss_lansim: 0.0434 (0.0543) loss_contra: 0.0007 (0.0040) time: 2.7824 data: 0.0063 max mem: 31630 Epoch: [23] [4130/5278] eta: 0:52:36 lr: 2.2186925316158962e-05 loss: 0.0535 (0.0629) loss_seg: 0.0530 (0.0623) loss_lansim: 0.0441 (0.0543) loss_contra: 0.0005 (0.0040) time: 2.7802 data: 0.0063 max mem: 31630 Epoch: [23] [4140/5278] eta: 0:52:09 lr: 2.2184592428790164e-05 loss: 0.0561 (0.0629) loss_seg: 0.0557 (0.0623) loss_lansim: 0.0442 (0.0543) loss_contra: 0.0005 (0.0040) time: 2.7835 data: 0.0064 max mem: 31630 Epoch: [23] [4150/5278] eta: 0:51:41 lr: 2.2182259514163077e-05 loss: 0.0560 (0.0629) loss_seg: 0.0556 (0.0623) loss_lansim: 0.0441 (0.0543) loss_contra: 0.0005 (0.0040) time: 2.7780 data: 0.0064 max mem: 31630 Epoch: [23] [4160/5278] eta: 0:51:14 lr: 2.2179926572274184e-05 loss: 0.0560 (0.0629) loss_seg: 0.0556 (0.0623) loss_lansim: 0.0439 (0.0542) loss_contra: 0.0004 (0.0040) time: 2.7737 data: 0.0063 max mem: 31630 Epoch: [23] [4170/5278] eta: 0:50:46 lr: 2.2177593603119995e-05 loss: 0.0580 (0.0629) loss_seg: 0.0576 (0.0623) loss_lansim: 0.0438 (0.0542) loss_contra: 0.0004 (0.0040) time: 2.7702 data: 0.0063 max mem: 31630 Epoch: [23] [4180/5278] eta: 0:50:18 lr: 2.2175260606697003e-05 loss: 0.0600 (0.0630) loss_seg: 0.0595 (0.0624) loss_lansim: 0.0435 (0.0542) loss_contra: 0.0004 (0.0040) time: 2.7619 data: 0.0063 max mem: 31630 Epoch: [23] [4190/5278] eta: 0:49:51 lr: 2.217292758300169e-05 loss: 0.0600 (0.0630) loss_seg: 0.0595 (0.0624) loss_lansim: 0.0434 (0.0542) loss_contra: 0.0004 (0.0040) time: 2.7578 data: 0.0062 max mem: 31630 Epoch: [23] [4200/5278] eta: 0:49:23 lr: 2.217059453203056e-05 loss: 0.0600 (0.0630) loss_seg: 0.0595 (0.0624) loss_lansim: 0.0438 (0.0542) loss_contra: 0.0005 (0.0040) time: 2.7522 data: 0.0061 max mem: 31630 Epoch: [23] [4210/5278] eta: 0:48:56 lr: 2.21682614537801e-05 loss: 0.0613 (0.0630) loss_seg: 0.0608 (0.0624) loss_lansim: 0.0437 (0.0541) loss_contra: 0.0005 (0.0040) time: 2.7473 data: 0.0061 max mem: 31630 Epoch: [23] [4220/5278] eta: 0:48:28 lr: 2.2165928348246802e-05 loss: 0.0598 (0.0630) loss_seg: 0.0593 (0.0624) loss_lansim: 0.0435 (0.0541) loss_contra: 0.0005 (0.0040) time: 2.7411 data: 0.0061 max mem: 31630 Epoch: [23] [4230/5278] eta: 0:48:01 lr: 2.2163595215427155e-05 loss: 0.0583 (0.0629) loss_seg: 0.0579 (0.0624) loss_lansim: 0.0437 (0.0541) loss_contra: 0.0007 (0.0040) time: 2.7381 data: 0.0061 max mem: 31630 Epoch: [23] [4240/5278] eta: 0:47:33 lr: 2.216126205531765e-05 loss: 0.0546 (0.0629) loss_seg: 0.0541 (0.0623) loss_lansim: 0.0438 (0.0541) loss_contra: 0.0005 (0.0040) time: 2.7347 data: 0.0060 max mem: 31630 Epoch: [23] [4250/5278] eta: 0:47:06 lr: 2.2158928867914775e-05 loss: 0.0560 (0.0629) loss_seg: 0.0555 (0.0623) loss_lansim: 0.0438 (0.0541) loss_contra: 0.0005 (0.0040) time: 2.7369 data: 0.0059 max mem: 31630 Epoch: [23] [4260/5278] eta: 0:46:38 lr: 2.215659565321502e-05 loss: 0.0560 (0.0630) loss_seg: 0.0555 (0.0624) loss_lansim: 0.0439 (0.0540) loss_contra: 0.0005 (0.0040) time: 2.7423 data: 0.0059 max mem: 31630 Epoch: [23] [4270/5278] eta: 0:46:11 lr: 2.2154262411214863e-05 loss: 0.0555 (0.0630) loss_seg: 0.0550 (0.0624) loss_lansim: 0.0443 (0.0540) loss_contra: 0.0005 (0.0040) time: 2.7430 data: 0.0059 max mem: 31630 Epoch: [23] [4280/5278] eta: 0:45:44 lr: 2.21519291419108e-05 loss: 0.0558 (0.0630) loss_seg: 0.0554 (0.0624) loss_lansim: 0.0443 (0.0540) loss_contra: 0.0005 (0.0040) time: 2.7548 data: 0.0059 max mem: 31630 Epoch: [23] [4290/5278] eta: 0:45:16 lr: 2.2149595845299306e-05 loss: 0.0569 (0.0630) loss_seg: 0.0564 (0.0625) loss_lansim: 0.0442 (0.0539) loss_contra: 0.0005 (0.0040) time: 2.7617 data: 0.0060 max mem: 31630 Epoch: [23] [4300/5278] eta: 0:44:49 lr: 2.2147262521376873e-05 loss: 0.0576 (0.0631) loss_seg: 0.0570 (0.0625) loss_lansim: 0.0436 (0.0539) loss_contra: 0.0004 (0.0040) time: 2.7658 data: 0.0059 max mem: 31630 Epoch: [23] [4310/5278] eta: 0:44:21 lr: 2.214492917013999e-05 loss: 0.0560 (0.0630) loss_seg: 0.0556 (0.0625) loss_lansim: 0.0436 (0.0539) loss_contra: 0.0004 (0.0040) time: 2.7694 data: 0.0059 max mem: 31630 Epoch: [23] [4320/5278] eta: 0:43:54 lr: 2.2142595791585124e-05 loss: 0.0576 (0.0630) loss_seg: 0.0570 (0.0625) loss_lansim: 0.0434 (0.0539) loss_contra: 0.0004 (0.0039) time: 2.7713 data: 0.0058 max mem: 31630 Epoch: [23] [4330/5278] eta: 0:43:26 lr: 2.2140262385708763e-05 loss: 0.0573 (0.0630) loss_seg: 0.0568 (0.0624) loss_lansim: 0.0432 (0.0539) loss_contra: 0.0004 (0.0039) time: 2.7785 data: 0.0057 max mem: 31630 Epoch: [23] [4340/5278] eta: 0:42:59 lr: 2.2137928952507387e-05 loss: 0.0591 (0.0630) loss_seg: 0.0586 (0.0624) loss_lansim: 0.0429 (0.0538) loss_contra: 0.0004 (0.0039) time: 2.7771 data: 0.0057 max mem: 31630 Epoch: [23] [4350/5278] eta: 0:42:32 lr: 2.2135595491977486e-05 loss: 0.0579 (0.0630) loss_seg: 0.0574 (0.0624) loss_lansim: 0.0428 (0.0538) loss_contra: 0.0003 (0.0039) time: 2.7800 data: 0.0057 max mem: 31630 Epoch: [23] [4360/5278] eta: 0:42:04 lr: 2.2133262004115523e-05 loss: 0.0591 (0.0630) loss_seg: 0.0586 (0.0625) loss_lansim: 0.0425 (0.0538) loss_contra: 0.0003 (0.0039) time: 2.7786 data: 0.0057 max mem: 31630 Epoch: [23] [4370/5278] eta: 0:41:37 lr: 2.2130928488917983e-05 loss: 0.0591 (0.0630) loss_seg: 0.0586 (0.0624) loss_lansim: 0.0423 (0.0538) loss_contra: 0.0004 (0.0039) time: 2.7849 data: 0.0057 max mem: 31630 Epoch: [23] [4380/5278] eta: 0:41:09 lr: 2.2128594946381344e-05 loss: 0.0568 (0.0630) loss_seg: 0.0564 (0.0624) loss_lansim: 0.0423 (0.0537) loss_contra: 0.0005 (0.0039) time: 2.7825 data: 0.0057 max mem: 31630 Epoch: [23] [4390/5278] eta: 0:40:42 lr: 2.2126261376502085e-05 loss: 0.0560 (0.0630) loss_seg: 0.0556 (0.0624) loss_lansim: 0.0423 (0.0537) loss_contra: 0.0004 (0.0039) time: 2.7813 data: 0.0057 max mem: 31630 Epoch: [23] [4400/5278] eta: 0:40:14 lr: 2.212392777927667e-05 loss: 0.0539 (0.0630) loss_seg: 0.0535 (0.0624) loss_lansim: 0.0420 (0.0537) loss_contra: 0.0004 (0.0039) time: 2.7813 data: 0.0057 max mem: 31630 Epoch: [23] [4410/5278] eta: 0:39:47 lr: 2.2121594154701585e-05 loss: 0.0554 (0.0630) loss_seg: 0.0550 (0.0624) loss_lansim: 0.0417 (0.0536) loss_contra: 0.0003 (0.0039) time: 2.7788 data: 0.0057 max mem: 31630 Epoch: [23] [4420/5278] eta: 0:39:19 lr: 2.21192605027733e-05 loss: 0.0556 (0.0630) loss_seg: 0.0551 (0.0624) loss_lansim: 0.0420 (0.0536) loss_contra: 0.0004 (0.0039) time: 2.7807 data: 0.0057 max mem: 31630 Epoch: [23] [4430/5278] eta: 0:38:52 lr: 2.2116926823488294e-05 loss: 0.0559 (0.0630) loss_seg: 0.0556 (0.0624) loss_lansim: 0.0420 (0.0536) loss_contra: 0.0004 (0.0039) time: 2.7726 data: 0.0057 max mem: 31630 Epoch: [23] [4440/5278] eta: 0:38:24 lr: 2.2114593116843026e-05 loss: 0.0554 (0.0630) loss_seg: 0.0550 (0.0624) loss_lansim: 0.0417 (0.0536) loss_contra: 0.0002 (0.0039) time: 2.7707 data: 0.0058 max mem: 31630 Epoch: [23] [4450/5278] eta: 0:37:57 lr: 2.2112259382833972e-05 loss: 0.0559 (0.0630) loss_seg: 0.0556 (0.0624) loss_lansim: 0.0417 (0.0535) loss_contra: 0.0003 (0.0039) time: 2.7694 data: 0.0058 max mem: 31630 Epoch: [23] [4460/5278] eta: 0:37:29 lr: 2.2109925621457606e-05 loss: 0.0554 (0.0630) loss_seg: 0.0550 (0.0624) loss_lansim: 0.0413 (0.0535) loss_contra: 0.0004 (0.0039) time: 2.7677 data: 0.0059 max mem: 31630 Epoch: [23] [4470/5278] eta: 0:37:02 lr: 2.21075918327104e-05 loss: 0.0556 (0.0629) loss_seg: 0.0551 (0.0624) loss_lansim: 0.0409 (0.0535) loss_contra: 0.0004 (0.0039) time: 2.7670 data: 0.0058 max mem: 31630 Epoch: [23] [4480/5278] eta: 0:36:34 lr: 2.2105258016588813e-05 loss: 0.0558 (0.0629) loss_seg: 0.0553 (0.0624) loss_lansim: 0.0409 (0.0534) loss_contra: 0.0004 (0.0039) time: 2.7638 data: 0.0059 max mem: 31630 Epoch: [23] [4490/5278] eta: 0:36:07 lr: 2.2102924173089316e-05 loss: 0.0552 (0.0629) loss_seg: 0.0548 (0.0623) loss_lansim: 0.0407 (0.0534) loss_contra: 0.0004 (0.0039) time: 2.7613 data: 0.0058 max mem: 31630 Epoch: [23] [4500/5278] eta: 0:35:39 lr: 2.2100590302208378e-05 loss: 0.0556 (0.0629) loss_seg: 0.0551 (0.0623) loss_lansim: 0.0403 (0.0534) loss_contra: 0.0004 (0.0039) time: 2.7609 data: 0.0059 max mem: 31630 Epoch: [23] [4510/5278] eta: 0:35:12 lr: 2.2098256403942472e-05 loss: 0.0547 (0.0629) loss_seg: 0.0543 (0.0623) loss_lansim: 0.0400 (0.0534) loss_contra: 0.0004 (0.0038) time: 2.7635 data: 0.0059 max mem: 31630 Epoch: [23] [4520/5278] eta: 0:34:45 lr: 2.2095922478288046e-05 loss: 0.0534 (0.0629) loss_seg: 0.0530 (0.0623) loss_lansim: 0.0399 (0.0533) loss_contra: 0.0004 (0.0038) time: 2.7686 data: 0.0060 max mem: 31630 Epoch: [23] [4530/5278] eta: 0:34:17 lr: 2.2093588525241575e-05 loss: 0.0547 (0.0628) loss_seg: 0.0543 (0.0623) loss_lansim: 0.0399 (0.0533) loss_contra: 0.0003 (0.0038) time: 2.7709 data: 0.0060 max mem: 31630 Epoch: [23] [4540/5278] eta: 0:33:50 lr: 2.209125454479952e-05 loss: 0.0547 (0.0628) loss_seg: 0.0543 (0.0623) loss_lansim: 0.0397 (0.0533) loss_contra: 0.0004 (0.0038) time: 2.7826 data: 0.0061 max mem: 31630 Epoch: [23] [4550/5278] eta: 0:33:22 lr: 2.2088920536958342e-05 loss: 0.0511 (0.0628) loss_seg: 0.0507 (0.0622) loss_lansim: 0.0392 (0.0532) loss_contra: 0.0004 (0.0038) time: 2.7830 data: 0.0062 max mem: 31630 Epoch: [23] [4560/5278] eta: 0:32:55 lr: 2.2086586501714513e-05 loss: 0.0511 (0.0628) loss_seg: 0.0507 (0.0622) loss_lansim: 0.0392 (0.0532) loss_contra: 0.0003 (0.0038) time: 2.7885 data: 0.0062 max mem: 31630 Epoch: [23] [4570/5278] eta: 0:32:27 lr: 2.2084252439064475e-05 loss: 0.0516 (0.0628) loss_seg: 0.0512 (0.0622) loss_lansim: 0.0392 (0.0532) loss_contra: 0.0003 (0.0038) time: 2.7879 data: 0.0062 max mem: 31630 Epoch: [23] [4580/5278] eta: 0:32:00 lr: 2.2081918349004702e-05 loss: 0.0521 (0.0628) loss_seg: 0.0518 (0.0622) loss_lansim: 0.0392 (0.0532) loss_contra: 0.0003 (0.0038) time: 2.7928 data: 0.0063 max mem: 31630 Epoch: [23] [4590/5278] eta: 0:31:33 lr: 2.2079584231531646e-05 loss: 0.0529 (0.0628) loss_seg: 0.0525 (0.0622) loss_lansim: 0.0392 (0.0531) loss_contra: 0.0002 (0.0038) time: 2.7955 data: 0.0063 max mem: 31630 Epoch: [23] [4600/5278] eta: 0:31:05 lr: 2.2077250086641773e-05 loss: 0.0531 (0.0628) loss_seg: 0.0527 (0.0622) loss_lansim: 0.0395 (0.0531) loss_contra: 0.0002 (0.0038) time: 2.8025 data: 0.0064 max mem: 31630 Epoch: [23] [4610/5278] eta: 0:30:38 lr: 2.2074915914331533e-05 loss: 0.0543 (0.0628) loss_seg: 0.0539 (0.0622) loss_lansim: 0.0396 (0.0531) loss_contra: 0.0002 (0.0038) time: 2.8000 data: 0.0063 max mem: 31630 Epoch: [23] [4620/5278] eta: 0:30:10 lr: 2.2072581714597378e-05 loss: 0.0536 (0.0628) loss_seg: 0.0532 (0.0622) loss_lansim: 0.0399 (0.0531) loss_contra: 0.0002 (0.0038) time: 2.7956 data: 0.0063 max mem: 31630 Epoch: [23] [4630/5278] eta: 0:29:43 lr: 2.207024748743577e-05 loss: 0.0536 (0.0628) loss_seg: 0.0532 (0.0622) loss_lansim: 0.0401 (0.0530) loss_contra: 0.0002 (0.0038) time: 2.7953 data: 0.0063 max mem: 31630 Epoch: [23] [4640/5278] eta: 0:29:15 lr: 2.2067913232843175e-05 loss: 0.0536 (0.0628) loss_seg: 0.0532 (0.0622) loss_lansim: 0.0403 (0.0530) loss_contra: 0.0002 (0.0038) time: 2.7855 data: 0.0061 max mem: 31630 Epoch: [23] [4650/5278] eta: 0:28:48 lr: 2.2065578950816022e-05 loss: 0.0556 (0.0628) loss_seg: 0.0552 (0.0622) loss_lansim: 0.0403 (0.0530) loss_contra: 0.0002 (0.0038) time: 2.7897 data: 0.0060 max mem: 31630 Epoch: [23] [4660/5278] eta: 0:28:20 lr: 2.206324464135078e-05 loss: 0.0556 (0.0628) loss_seg: 0.0552 (0.0622) loss_lansim: 0.0403 (0.0530) loss_contra: 0.0002 (0.0038) time: 2.7820 data: 0.0060 max mem: 31630 Epoch: [23] [4670/5278] eta: 0:27:53 lr: 2.2060910304443894e-05 loss: 0.0562 (0.0628) loss_seg: 0.0557 (0.0623) loss_lansim: 0.0403 (0.0529) loss_contra: 0.0002 (0.0038) time: 2.7826 data: 0.0059 max mem: 31630 Epoch: [23] [4680/5278] eta: 0:27:25 lr: 2.2058575940091823e-05 loss: 0.0580 (0.0628) loss_seg: 0.0576 (0.0623) loss_lansim: 0.0408 (0.0529) loss_contra: 0.0002 (0.0038) time: 2.7805 data: 0.0059 max mem: 31630 Epoch: [23] [4690/5278] eta: 0:26:58 lr: 2.205624154829101e-05 loss: 0.0587 (0.0629) loss_seg: 0.0582 (0.0623) loss_lansim: 0.0411 (0.0529) loss_contra: 0.0002 (0.0038) time: 2.7781 data: 0.0058 max mem: 31630 Epoch: [23] [4700/5278] eta: 0:26:30 lr: 2.2053907129037905e-05 loss: 0.0600 (0.0629) loss_seg: 0.0596 (0.0623) loss_lansim: 0.0408 (0.0529) loss_contra: 0.0003 (0.0038) time: 2.7701 data: 0.0058 max mem: 31630 Epoch: [23] [4710/5278] eta: 0:26:03 lr: 2.2051572682328957e-05 loss: 0.0617 (0.0629) loss_seg: 0.0613 (0.0623) loss_lansim: 0.0411 (0.0528) loss_contra: 0.0003 (0.0038) time: 2.7718 data: 0.0058 max mem: 31630 Epoch: [23] [4720/5278] eta: 0:25:35 lr: 2.204923820816062e-05 loss: 0.0617 (0.0629) loss_seg: 0.0613 (0.0623) loss_lansim: 0.0406 (0.0528) loss_contra: 0.0003 (0.0038) time: 2.7640 data: 0.0058 max mem: 31630 Epoch: [23] [4730/5278] eta: 0:25:08 lr: 2.2046903706529326e-05 loss: 0.0632 (0.0629) loss_seg: 0.0627 (0.0623) loss_lansim: 0.0411 (0.0528) loss_contra: 0.0003 (0.0038) time: 2.7639 data: 0.0058 max mem: 31630 Epoch: [23] [4740/5278] eta: 0:24:40 lr: 2.2044569177431533e-05 loss: 0.0632 (0.0629) loss_seg: 0.0627 (0.0623) loss_lansim: 0.0411 (0.0528) loss_contra: 0.0004 (0.0038) time: 2.7638 data: 0.0058 max mem: 31630 Epoch: [23] [4750/5278] eta: 0:24:13 lr: 2.204223462086368e-05 loss: 0.0632 (0.0629) loss_seg: 0.0627 (0.0623) loss_lansim: 0.0411 (0.0527) loss_contra: 0.0004 (0.0038) time: 2.7535 data: 0.0058 max mem: 31630 Epoch: [23] [4760/5278] eta: 0:23:45 lr: 2.203990003682222e-05 loss: 0.0632 (0.0629) loss_seg: 0.0627 (0.0623) loss_lansim: 0.0412 (0.0527) loss_contra: 0.0005 (0.0038) time: 2.7549 data: 0.0058 max mem: 31630 Epoch: [23] [4770/5278] eta: 0:23:18 lr: 2.2037565425303593e-05 loss: 0.0638 (0.0629) loss_seg: 0.0633 (0.0624) loss_lansim: 0.0412 (0.0527) loss_contra: 0.0005 (0.0038) time: 2.7522 data: 0.0058 max mem: 31630 Epoch: [23] [4780/5278] eta: 0:22:50 lr: 2.203523078630423e-05 loss: 0.0617 (0.0629) loss_seg: 0.0613 (0.0624) loss_lansim: 0.0417 (0.0527) loss_contra: 0.0005 (0.0038) time: 2.7462 data: 0.0058 max mem: 31630 Epoch: [23] [4790/5278] eta: 0:22:22 lr: 2.203289611982058e-05 loss: 0.0604 (0.0629) loss_seg: 0.0600 (0.0623) loss_lansim: 0.0417 (0.0527) loss_contra: 0.0005 (0.0038) time: 2.7446 data: 0.0058 max mem: 31630 Epoch: [23] [4800/5278] eta: 0:21:55 lr: 2.2030561425849083e-05 loss: 0.0578 (0.0629) loss_seg: 0.0574 (0.0623) loss_lansim: 0.0420 (0.0526) loss_contra: 0.0006 (0.0038) time: 2.7457 data: 0.0057 max mem: 31630 Epoch: [23] [4810/5278] eta: 0:21:27 lr: 2.2028226704386183e-05 loss: 0.0580 (0.0629) loss_seg: 0.0576 (0.0623) loss_lansim: 0.0420 (0.0526) loss_contra: 0.0006 (0.0038) time: 2.7456 data: 0.0057 max mem: 31630 Epoch: [23] [4820/5278] eta: 0:21:00 lr: 2.2025891955428317e-05 loss: 0.0578 (0.0629) loss_seg: 0.0574 (0.0623) loss_lansim: 0.0420 (0.0526) loss_contra: 0.0006 (0.0038) time: 2.7520 data: 0.0057 max mem: 31630 Epoch: [23] [4830/5278] eta: 0:20:32 lr: 2.202355717897191e-05 loss: 0.0565 (0.0629) loss_seg: 0.0562 (0.0623) loss_lansim: 0.0419 (0.0526) loss_contra: 0.0006 (0.0038) time: 2.7499 data: 0.0058 max mem: 31630 Epoch: [23] [4840/5278] eta: 0:20:05 lr: 2.202122237501342e-05 loss: 0.0568 (0.0629) loss_seg: 0.0563 (0.0623) loss_lansim: 0.0419 (0.0525) loss_contra: 0.0005 (0.0038) time: 2.7462 data: 0.0058 max mem: 31630 Epoch: [23] [4850/5278] eta: 0:19:37 lr: 2.201888754354927e-05 loss: 0.0568 (0.0629) loss_seg: 0.0563 (0.0623) loss_lansim: 0.0417 (0.0525) loss_contra: 0.0005 (0.0038) time: 2.7529 data: 0.0058 max mem: 31630 Epoch: [23] [4860/5278] eta: 0:19:10 lr: 2.20165526845759e-05 loss: 0.0548 (0.0629) loss_seg: 0.0543 (0.0623) loss_lansim: 0.0417 (0.0525) loss_contra: 0.0004 (0.0037) time: 2.7507 data: 0.0058 max mem: 31630 Epoch: [23] [4870/5278] eta: 0:18:42 lr: 2.2014217798089737e-05 loss: 0.0551 (0.0629) loss_seg: 0.0547 (0.0623) loss_lansim: 0.0417 (0.0525) loss_contra: 0.0004 (0.0037) time: 2.7510 data: 0.0058 max mem: 31630 Epoch: [23] [4880/5278] eta: 0:18:15 lr: 2.201188288408722e-05 loss: 0.0551 (0.0629) loss_seg: 0.0547 (0.0623) loss_lansim: 0.0415 (0.0525) loss_contra: 0.0005 (0.0037) time: 2.7586 data: 0.0059 max mem: 31630 Epoch: [23] [4890/5278] eta: 0:17:47 lr: 2.200954794256479e-05 loss: 0.0565 (0.0629) loss_seg: 0.0562 (0.0623) loss_lansim: 0.0417 (0.0524) loss_contra: 0.0005 (0.0037) time: 2.7654 data: 0.0059 max mem: 31630 Epoch: [23] [4900/5278] eta: 0:17:20 lr: 2.200721297351886e-05 loss: 0.0591 (0.0629) loss_seg: 0.0587 (0.0623) loss_lansim: 0.0415 (0.0524) loss_contra: 0.0004 (0.0037) time: 2.7637 data: 0.0061 max mem: 31630 Epoch: [23] [4910/5278] eta: 0:16:52 lr: 2.2004877976945874e-05 loss: 0.0591 (0.0629) loss_seg: 0.0586 (0.0623) loss_lansim: 0.0417 (0.0524) loss_contra: 0.0004 (0.0037) time: 2.7544 data: 0.0061 max mem: 31630 Epoch: [23] [4920/5278] eta: 0:16:25 lr: 2.2002542952842256e-05 loss: 0.0591 (0.0629) loss_seg: 0.0586 (0.0623) loss_lansim: 0.0418 (0.0524) loss_contra: 0.0004 (0.0037) time: 2.7438 data: 0.0061 max mem: 31630 Epoch: [23] [4930/5278] eta: 0:15:57 lr: 2.2000207901204444e-05 loss: 0.0586 (0.0629) loss_seg: 0.0582 (0.0623) loss_lansim: 0.0415 (0.0524) loss_contra: 0.0004 (0.0037) time: 2.7371 data: 0.0061 max mem: 31630 Epoch: [23] [4940/5278] eta: 0:15:30 lr: 2.1997872822028855e-05 loss: 0.0595 (0.0629) loss_seg: 0.0591 (0.0623) loss_lansim: 0.0415 (0.0523) loss_contra: 0.0005 (0.0037) time: 2.7379 data: 0.0060 max mem: 31630 Epoch: [23] [4950/5278] eta: 0:15:02 lr: 2.1995537715311922e-05 loss: 0.0595 (0.0629) loss_seg: 0.0591 (0.0623) loss_lansim: 0.0418 (0.0523) loss_contra: 0.0005 (0.0037) time: 2.7272 data: 0.0060 max mem: 31630 Epoch: [23] [4960/5278] eta: 0:14:34 lr: 2.1993202581050064e-05 loss: 0.0598 (0.0629) loss_seg: 0.0593 (0.0623) loss_lansim: 0.0418 (0.0523) loss_contra: 0.0005 (0.0037) time: 2.7217 data: 0.0060 max mem: 31630 Epoch: [23] [4970/5278] eta: 0:14:07 lr: 2.1990867419239726e-05 loss: 0.0595 (0.0629) loss_seg: 0.0591 (0.0623) loss_lansim: 0.0418 (0.0523) loss_contra: 0.0005 (0.0038) time: 2.7130 data: 0.0059 max mem: 31630 Epoch: [23] [4980/5278] eta: 0:13:39 lr: 2.198853222987731e-05 loss: 0.0595 (0.0629) loss_seg: 0.0591 (0.0623) loss_lansim: 0.0417 (0.0523) loss_contra: 0.0005 (0.0037) time: 2.7026 data: 0.0059 max mem: 31630 Epoch: [23] [4990/5278] eta: 0:13:12 lr: 2.1986197012959246e-05 loss: 0.0591 (0.0629) loss_seg: 0.0586 (0.0623) loss_lansim: 0.0419 (0.0522) loss_contra: 0.0005 (0.0038) time: 2.6882 data: 0.0058 max mem: 31630 Epoch: [23] [5000/5278] eta: 0:12:44 lr: 2.1983861768481963e-05 loss: 0.0566 (0.0629) loss_seg: 0.0561 (0.0623) loss_lansim: 0.0419 (0.0522) loss_contra: 0.0005 (0.0038) time: 2.6840 data: 0.0057 max mem: 31630 Epoch: [23] [5010/5278] eta: 0:12:17 lr: 2.1981526496441878e-05 loss: 0.0574 (0.0628) loss_seg: 0.0570 (0.0623) loss_lansim: 0.0419 (0.0522) loss_contra: 0.0005 (0.0038) time: 2.6863 data: 0.0057 max mem: 31630 Epoch: [23] [5020/5278] eta: 0:11:49 lr: 2.197919119683542e-05 loss: 0.0577 (0.0628) loss_seg: 0.0573 (0.0623) loss_lansim: 0.0419 (0.0522) loss_contra: 0.0005 (0.0037) time: 2.6869 data: 0.0057 max mem: 31630 Epoch: [23] [5030/5278] eta: 0:11:22 lr: 2.1976855869659e-05 loss: 0.0574 (0.0628) loss_seg: 0.0570 (0.0623) loss_lansim: 0.0419 (0.0522) loss_contra: 0.0004 (0.0037) time: 2.6868 data: 0.0056 max mem: 31630 Epoch: [23] [5040/5278] eta: 0:10:54 lr: 2.1974520514909037e-05 loss: 0.0567 (0.0628) loss_seg: 0.0561 (0.0623) loss_lansim: 0.0419 (0.0521) loss_contra: 0.0004 (0.0037) time: 2.6842 data: 0.0056 max mem: 31630 Epoch: [23] [5050/5278] eta: 0:10:27 lr: 2.1972185132581952e-05 loss: 0.0567 (0.0628) loss_seg: 0.0561 (0.0623) loss_lansim: 0.0419 (0.0521) loss_contra: 0.0004 (0.0037) time: 2.6823 data: 0.0057 max mem: 31630 Epoch: [23] [5060/5278] eta: 0:09:59 lr: 2.1969849722674167e-05 loss: 0.0562 (0.0628) loss_seg: 0.0558 (0.0623) loss_lansim: 0.0417 (0.0521) loss_contra: 0.0004 (0.0037) time: 2.6782 data: 0.0057 max mem: 31630 Epoch: [23] [5070/5278] eta: 0:09:31 lr: 2.1967514285182096e-05 loss: 0.0552 (0.0628) loss_seg: 0.0547 (0.0622) loss_lansim: 0.0419 (0.0521) loss_contra: 0.0004 (0.0037) time: 2.6754 data: 0.0057 max mem: 31630 Epoch: [23] [5080/5278] eta: 0:09:04 lr: 2.1965178820102145e-05 loss: 0.0559 (0.0628) loss_seg: 0.0555 (0.0622) loss_lansim: 0.0419 (0.0520) loss_contra: 0.0004 (0.0038) time: 2.6757 data: 0.0057 max mem: 31630 Epoch: [23] [5090/5278] eta: 0:08:36 lr: 2.196284332743074e-05 loss: 0.0562 (0.0628) loss_seg: 0.0559 (0.0622) loss_lansim: 0.0419 (0.0520) loss_contra: 0.0004 (0.0038) time: 2.6810 data: 0.0057 max mem: 31630 Epoch: [23] [5100/5278] eta: 0:08:09 lr: 2.19605078071643e-05 loss: 0.0559 (0.0628) loss_seg: 0.0555 (0.0622) loss_lansim: 0.0416 (0.0520) loss_contra: 0.0004 (0.0038) time: 2.6738 data: 0.0057 max mem: 31630 Epoch: [23] [5110/5278] eta: 0:07:41 lr: 2.195817225929922e-05 loss: 0.0552 (0.0627) loss_seg: 0.0547 (0.0622) loss_lansim: 0.0412 (0.0520) loss_contra: 0.0004 (0.0038) time: 2.6676 data: 0.0057 max mem: 31630 Epoch: [23] [5120/5278] eta: 0:07:14 lr: 2.1955836683831924e-05 loss: 0.0549 (0.0627) loss_seg: 0.0545 (0.0622) loss_lansim: 0.0407 (0.0520) loss_contra: 0.0004 (0.0038) time: 2.6683 data: 0.0056 max mem: 31630 Epoch: [23] [5130/5278] eta: 0:06:46 lr: 2.1953501080758823e-05 loss: 0.0549 (0.0627) loss_seg: 0.0545 (0.0622) loss_lansim: 0.0401 (0.0519) loss_contra: 0.0005 (0.0038) time: 2.6718 data: 0.0056 max mem: 31630 Epoch: [23] [5140/5278] eta: 0:06:19 lr: 2.195116545007633e-05 loss: 0.0539 (0.0628) loss_seg: 0.0535 (0.0622) loss_lansim: 0.0401 (0.0519) loss_contra: 0.0006 (0.0038) time: 2.6734 data: 0.0057 max mem: 31630 Epoch: [23] [5150/5278] eta: 0:05:51 lr: 2.194882979178084e-05 loss: 0.0538 (0.0628) loss_seg: 0.0534 (0.0622) loss_lansim: 0.0399 (0.0519) loss_contra: 0.0005 (0.0038) time: 2.6790 data: 0.0057 max mem: 31630 Epoch: [23] [5160/5278] eta: 0:05:24 lr: 2.194649410586878e-05 loss: 0.0538 (0.0628) loss_seg: 0.0534 (0.0622) loss_lansim: 0.0401 (0.0519) loss_contra: 0.0005 (0.0038) time: 2.6802 data: 0.0056 max mem: 31630 Epoch: [23] [5170/5278] eta: 0:04:56 lr: 2.1944158392336545e-05 loss: 0.0539 (0.0628) loss_seg: 0.0535 (0.0622) loss_lansim: 0.0404 (0.0519) loss_contra: 0.0005 (0.0038) time: 2.6817 data: 0.0056 max mem: 31630 Epoch: [23] [5180/5278] eta: 0:04:29 lr: 2.1941822651180553e-05 loss: 0.0512 (0.0627) loss_seg: 0.0507 (0.0622) loss_lansim: 0.0401 (0.0518) loss_contra: 0.0005 (0.0038) time: 2.6830 data: 0.0056 max mem: 31630 Epoch: [23] [5190/5278] eta: 0:04:01 lr: 2.1939486882397193e-05 loss: 0.0512 (0.0627) loss_seg: 0.0507 (0.0622) loss_lansim: 0.0399 (0.0518) loss_contra: 0.0004 (0.0038) time: 2.6822 data: 0.0057 max mem: 31630 Epoch: [23] [5200/5278] eta: 0:03:34 lr: 2.1937151085982884e-05 loss: 0.0519 (0.0627) loss_seg: 0.0513 (0.0622) loss_lansim: 0.0399 (0.0518) loss_contra: 0.0004 (0.0038) time: 2.6879 data: 0.0056 max mem: 31630 Epoch: [23] [5210/5278] eta: 0:03:06 lr: 2.193481526193403e-05 loss: 0.0519 (0.0627) loss_seg: 0.0513 (0.0622) loss_lansim: 0.0397 (0.0518) loss_contra: 0.0005 (0.0038) time: 2.6916 data: 0.0056 max mem: 31630 Epoch: [23] [5220/5278] eta: 0:02:39 lr: 2.1932479410247028e-05 loss: 0.0526 (0.0627) loss_seg: 0.0522 (0.0621) loss_lansim: 0.0398 (0.0517) loss_contra: 0.0006 (0.0038) time: 2.6869 data: 0.0056 max mem: 31630 Epoch: [23] [5230/5278] eta: 0:02:11 lr: 2.1930143530918282e-05 loss: 0.0541 (0.0627) loss_seg: 0.0529 (0.0621) loss_lansim: 0.0402 (0.0517) loss_contra: 0.0006 (0.0038) time: 2.6817 data: 0.0056 max mem: 31630 Epoch: [23] [5240/5278] eta: 0:01:44 lr: 2.1927807623944194e-05 loss: 0.0535 (0.0627) loss_seg: 0.0529 (0.0622) loss_lansim: 0.0406 (0.0517) loss_contra: 0.0006 (0.0039) time: 2.6808 data: 0.0056 max mem: 31630 Epoch: [23] [5250/5278] eta: 0:01:16 lr: 2.192547168932116e-05 loss: 0.0526 (0.0627) loss_seg: 0.0521 (0.0621) loss_lansim: 0.0409 (0.0517) loss_contra: 0.0008 (0.0039) time: 2.6819 data: 0.0055 max mem: 31630 Epoch: [23] [5260/5278] eta: 0:00:49 lr: 2.192313572704559e-05 loss: 0.0541 (0.0627) loss_seg: 0.0531 (0.0622) loss_lansim: 0.0426 (0.0517) loss_contra: 0.0010 (0.0039) time: 2.6898 data: 0.0056 max mem: 31630 Epoch: [23] [5270/5278] eta: 0:00:21 lr: 2.192079973711388e-05 loss: 0.0526 (0.0627) loss_seg: 0.0521 (0.0621) loss_lansim: 0.0430 (0.0517) loss_contra: 0.0010 (0.0039) time: 2.6982 data: 0.0056 max mem: 31630 Epoch: [23] Total time: 4:01:42 Test: [ 0/2573] eta: 1:04:26 time: 1.5028 data: 1.3466 max mem: 31630 Test: [ 100/2573] eta: 0:06:20 time: 0.1404 data: 0.0014 max mem: 31630 Test: [ 200/2573] eta: 0:05:55 time: 0.1459 data: 0.0015 max mem: 31630 Test: [ 300/2573] eta: 0:05:33 time: 0.1405 data: 0.0015 max mem: 31630 Test: [ 400/2573] eta: 0:05:16 time: 0.1416 data: 0.0015 max mem: 31630 Test: [ 500/2573] eta: 0:05:00 time: 0.1428 data: 0.0015 max mem: 31630 Test: [ 600/2573] eta: 0:04:45 time: 0.1443 data: 0.0016 max mem: 31630 Test: [ 700/2573] eta: 0:04:32 time: 0.1490 data: 0.0015 max mem: 31630 Test: [ 800/2573] eta: 0:04:18 time: 0.1467 data: 0.0016 max mem: 31630 Test: [ 900/2573] eta: 0:04:03 time: 0.1467 data: 0.0016 max mem: 31630 Test: [1000/2573] eta: 0:03:49 time: 0.1447 data: 0.0015 max mem: 31630 Test: [1100/2573] eta: 0:03:34 time: 0.1438 data: 0.0015 max mem: 31630 Test: [1200/2573] eta: 0:03:19 time: 0.1459 data: 0.0015 max mem: 31630 Test: [1300/2573] eta: 0:03:05 time: 0.1448 data: 0.0015 max mem: 31630 Test: [1400/2573] eta: 0:02:50 time: 0.1409 data: 0.0015 max mem: 31630 Test: [1500/2573] eta: 0:02:35 time: 0.1457 data: 0.0015 max mem: 31630 Test: [1600/2573] eta: 0:02:21 time: 0.1449 data: 0.0016 max mem: 31630 Test: [1700/2573] eta: 0:02:06 time: 0.1460 data: 0.0016 max mem: 31630 Test: [1800/2573] eta: 0:01:52 time: 0.1423 data: 0.0016 max mem: 31630 Test: [1900/2573] eta: 0:01:37 time: 0.1401 data: 0.0015 max mem: 31630 Test: [2000/2573] eta: 0:01:22 time: 0.1407 data: 0.0015 max mem: 31630 Test: [2100/2573] eta: 0:01:08 time: 0.1454 data: 0.0015 max mem: 31630 Test: [2200/2573] eta: 0:00:53 time: 0.1395 data: 0.0015 max mem: 31630 Test: [2300/2573] eta: 0:00:39 time: 0.1445 data: 0.0015 max mem: 31630 Test: [2400/2573] eta: 0:00:24 time: 0.1424 data: 0.0015 max mem: 31630 Test: [2500/2573] eta: 0:00:10 time: 0.1445 data: 0.0015 max mem: 31630 Test: Total time: 0:06:11 Final results: precision@0.5 = 67.69 precision@0.6 = 63.05 precision@0.7 = 57.19 precision@0.8 = 45.36 precision@0.9 = 22.10 overall IoU = 57.78 mean IoU = 60.00 Epoch: [24] [ 0/5278] eta: 6:38:46 lr: 2.191893092525367e-05 loss: 0.0444 (0.0444) loss_seg: 0.0440 (0.0440) loss_lansim: 0.0420 (0.0420) loss_contra: 0.0027 (0.0027) time: 4.5333 data: 1.6991 max mem: 31630 Epoch: [24] [ 10/5278] eta: 4:16:22 lr: 2.1916594885531818e-05 loss: 0.0444 (0.0499) loss_seg: 0.0440 (0.0492) loss_lansim: 0.0475 (0.0471) loss_contra: 0.0004 (0.0200) time: 2.9199 data: 0.1590 max mem: 31630 Epoch: [24] [ 20/5278] eta: 4:08:20 lr: 2.1914258818143736e-05 loss: 0.0500 (0.0533) loss_seg: 0.0496 (0.0527) loss_lansim: 0.0468 (0.0465) loss_contra: 0.0004 (0.0117) time: 2.8338 data: 0.0856 max mem: 31630 Epoch: [24] [ 30/5278] eta: 4:06:23 lr: 2.191192272308582e-05 loss: 0.0500 (0.0561) loss_seg: 0.0496 (0.0555) loss_lansim: 0.0475 (0.0477) loss_contra: 0.0004 (0.0097) time: 2.8170 data: 0.0599 max mem: 31630 Epoch: [24] [ 40/5278] eta: 4:04:40 lr: 2.1909586600354462e-05 loss: 0.0498 (0.0553) loss_seg: 0.0492 (0.0548) loss_lansim: 0.0475 (0.0477) loss_contra: 0.0004 (0.0080) time: 2.8027 data: 0.0467 max mem: 31630 Epoch: [24] [ 50/5278] eta: 4:04:06 lr: 2.1907250449946063e-05 loss: 0.0490 (0.0556) loss_seg: 0.0484 (0.0550) loss_lansim: 0.0472 (0.0476) loss_contra: 0.0004 (0.0074) time: 2.8016 data: 0.0388 max mem: 31630 Epoch: [24] [ 60/5278] eta: 4:03:33 lr: 2.1904914271857e-05 loss: 0.0476 (0.0550) loss_seg: 0.0471 (0.0545) loss_lansim: 0.0468 (0.0474) loss_contra: 0.0004 (0.0065) time: 2.8007 data: 0.0334 max mem: 31630 Epoch: [24] [ 70/5278] eta: 4:02:33 lr: 2.1902578066083677e-05 loss: 0.0476 (0.0558) loss_seg: 0.0471 (0.0553) loss_lansim: 0.0467 (0.0475) loss_contra: 0.0006 (0.0060) time: 2.7944 data: 0.0295 max mem: 31630 Epoch: [24] [ 80/5278] eta: 4:02:05 lr: 2.1900241832622477e-05 loss: 0.0490 (0.0557) loss_seg: 0.0484 (0.0551) loss_lansim: 0.0466 (0.0472) loss_contra: 0.0005 (0.0058) time: 2.7944 data: 0.0266 max mem: 31630 Epoch: [24] [ 90/5278] eta: 4:01:15 lr: 2.1897905571469805e-05 loss: 0.0490 (0.0556) loss_seg: 0.0484 (0.0551) loss_lansim: 0.0466 (0.0472) loss_contra: 0.0005 (0.0054) time: 2.7902 data: 0.0243 max mem: 31630 Epoch: [24] [ 100/5278] eta: 4:00:32 lr: 2.189556928262203e-05 loss: 0.0490 (0.0548) loss_seg: 0.0484 (0.0543) loss_lansim: 0.0462 (0.0469) loss_contra: 0.0004 (0.0052) time: 2.7698 data: 0.0057 max mem: 31630 Epoch: [24] [ 110/5278] eta: 3:59:54 lr: 2.1893232966075554e-05 loss: 0.0490 (0.0550) loss_seg: 0.0484 (0.0545) loss_lansim: 0.0458 (0.0468) loss_contra: 0.0005 (0.0048) time: 2.7705 data: 0.0057 max mem: 31630 Epoch: [24] [ 120/5278] eta: 3:59:12 lr: 2.1890896621826758e-05 loss: 0.0490 (0.0562) loss_seg: 0.0484 (0.0557) loss_lansim: 0.0462 (0.0469) loss_contra: 0.0005 (0.0045) time: 2.7718 data: 0.0058 max mem: 31630 Epoch: [24] [ 130/5278] eta: 3:58:44 lr: 2.1888560249872032e-05 loss: 0.0476 (0.0551) loss_seg: 0.0471 (0.0546) loss_lansim: 0.0458 (0.0469) loss_contra: 0.0004 (0.0043) time: 2.7718 data: 0.0059 max mem: 31630 Epoch: [24] [ 140/5278] eta: 3:58:01 lr: 2.1886223850207756e-05 loss: 0.0486 (0.0555) loss_seg: 0.0481 (0.0550) loss_lansim: 0.0457 (0.0469) loss_contra: 0.0004 (0.0041) time: 2.7701 data: 0.0059 max mem: 31630 Epoch: [24] [ 150/5278] eta: 3:57:30 lr: 2.188388742283032e-05 loss: 0.0474 (0.0548) loss_seg: 0.0469 (0.0543) loss_lansim: 0.0455 (0.0468) loss_contra: 0.0004 (0.0039) time: 2.7673 data: 0.0059 max mem: 31630 Epoch: [24] [ 160/5278] eta: 3:56:55 lr: 2.1881550967736105e-05 loss: 0.0491 (0.0545) loss_seg: 0.0487 (0.0540) loss_lansim: 0.0456 (0.0466) loss_contra: 0.0003 (0.0040) time: 2.7636 data: 0.0059 max mem: 31630 Epoch: [24] [ 170/5278] eta: 3:56:29 lr: 2.18792144849215e-05 loss: 0.0493 (0.0544) loss_seg: 0.0489 (0.0539) loss_lansim: 0.0460 (0.0468) loss_contra: 0.0003 (0.0038) time: 2.7662 data: 0.0059 max mem: 31630 Epoch: [24] [ 180/5278] eta: 3:55:51 lr: 2.1876877974382878e-05 loss: 0.0491 (0.0545) loss_seg: 0.0486 (0.0540) loss_lansim: 0.0458 (0.0467) loss_contra: 0.0003 (0.0038) time: 2.7610 data: 0.0058 max mem: 31630 Epoch: [24] [ 190/5278] eta: 3:55:36 lr: 2.187454143611662e-05 loss: 0.0493 (0.0548) loss_seg: 0.0489 (0.0543) loss_lansim: 0.0457 (0.0466) loss_contra: 0.0003 (0.0037) time: 2.7678 data: 0.0058 max mem: 31630 Epoch: [24] [ 200/5278] eta: 3:55:00 lr: 2.1872204870119116e-05 loss: 0.0504 (0.0550) loss_seg: 0.0499 (0.0545) loss_lansim: 0.0463 (0.0467) loss_contra: 0.0003 (0.0035) time: 2.7662 data: 0.0059 max mem: 31630 Epoch: [24] [ 210/5278] eta: 3:54:39 lr: 2.1869868276386737e-05 loss: 0.0504 (0.0549) loss_seg: 0.0499 (0.0544) loss_lansim: 0.0465 (0.0468) loss_contra: 0.0003 (0.0037) time: 2.7700 data: 0.0058 max mem: 31630 Epoch: [24] [ 220/5278] eta: 3:54:10 lr: 2.186753165491586e-05 loss: 0.0493 (0.0554) loss_seg: 0.0489 (0.0549) loss_lansim: 0.0468 (0.0469) loss_contra: 0.0003 (0.0036) time: 2.7724 data: 0.0058 max mem: 31630 Epoch: [24] [ 230/5278] eta: 3:53:51 lr: 2.1865195005702864e-05 loss: 0.0520 (0.0555) loss_seg: 0.0514 (0.0550) loss_lansim: 0.0469 (0.0471) loss_contra: 0.0003 (0.0037) time: 2.7757 data: 0.0057 max mem: 31630 Epoch: [24] [ 240/5278] eta: 3:53:24 lr: 2.1862858328744128e-05 loss: 0.0506 (0.0550) loss_seg: 0.0501 (0.0545) loss_lansim: 0.0473 (0.0473) loss_contra: 0.0003 (0.0036) time: 2.7802 data: 0.0057 max mem: 31630 Epoch: [24] [ 250/5278] eta: 3:53:04 lr: 2.1860521624036036e-05 loss: 0.0520 (0.0555) loss_seg: 0.0514 (0.0550) loss_lansim: 0.0486 (0.0477) loss_contra: 0.0003 (0.0035) time: 2.7848 data: 0.0056 max mem: 31630 Epoch: [24] [ 260/5278] eta: 3:52:42 lr: 2.1858184891574944e-05 loss: 0.0520 (0.0560) loss_seg: 0.0514 (0.0554) loss_lansim: 0.0498 (0.0482) loss_contra: 0.0003 (0.0034) time: 2.7903 data: 0.0056 max mem: 31630 Epoch: [24] [ 270/5278] eta: 3:52:13 lr: 2.1855848131357232e-05 loss: 0.0535 (0.0566) loss_seg: 0.0529 (0.0560) loss_lansim: 0.0510 (0.0486) loss_contra: 0.0005 (0.0045) time: 2.7895 data: 0.0056 max mem: 31630 Epoch: [24] [ 280/5278] eta: 3:51:46 lr: 2.1853511343379276e-05 loss: 0.0535 (0.0565) loss_seg: 0.0529 (0.0560) loss_lansim: 0.0528 (0.0489) loss_contra: 0.0004 (0.0044) time: 2.7944 data: 0.0056 max mem: 31630 Epoch: [24] [ 290/5278] eta: 3:51:23 lr: 2.185117452763745e-05 loss: 0.0535 (0.0570) loss_seg: 0.0529 (0.0565) loss_lansim: 0.0536 (0.0491) loss_contra: 0.0005 (0.0044) time: 2.7928 data: 0.0056 max mem: 31630 Epoch: [24] [ 300/5278] eta: 3:50:59 lr: 2.1848837684128126e-05 loss: 0.0561 (0.0573) loss_seg: 0.0556 (0.0568) loss_lansim: 0.0536 (0.0492) loss_contra: 0.0005 (0.0044) time: 2.7988 data: 0.0056 max mem: 31630 Epoch: [24] [ 310/5278] eta: 3:50:30 lr: 2.1846500812847668e-05 loss: 0.0567 (0.0574) loss_seg: 0.0561 (0.0569) loss_lansim: 0.0536 (0.0493) loss_contra: 0.0005 (0.0044) time: 2.7961 data: 0.0056 max mem: 31630 Epoch: [24] [ 320/5278] eta: 3:50:09 lr: 2.1844163913792444e-05 loss: 0.0567 (0.0577) loss_seg: 0.0561 (0.0572) loss_lansim: 0.0542 (0.0494) loss_contra: 0.0006 (0.0043) time: 2.8018 data: 0.0056 max mem: 31630 Epoch: [24] [ 330/5278] eta: 3:49:32 lr: 2.184182698695883e-05 loss: 0.0567 (0.0577) loss_seg: 0.0561 (0.0571) loss_lansim: 0.0547 (0.0495) loss_contra: 0.0006 (0.0043) time: 2.7922 data: 0.0055 max mem: 31630 Epoch: [24] [ 340/5278] eta: 3:49:11 lr: 2.183949003234319e-05 loss: 0.0578 (0.0576) loss_seg: 0.0573 (0.0571) loss_lansim: 0.0550 (0.0497) loss_contra: 0.0006 (0.0042) time: 2.7967 data: 0.0055 max mem: 31630 Epoch: [24] [ 350/5278] eta: 3:48:39 lr: 2.183715304994189e-05 loss: 0.0567 (0.0575) loss_seg: 0.0561 (0.0570) loss_lansim: 0.0543 (0.0499) loss_contra: 0.0005 (0.0042) time: 2.7907 data: 0.0055 max mem: 31630 Epoch: [24] [ 360/5278] eta: 3:48:14 lr: 2.183481603975129e-05 loss: 0.0567 (0.0578) loss_seg: 0.0561 (0.0572) loss_lansim: 0.0541 (0.0500) loss_contra: 0.0005 (0.0041) time: 2.7900 data: 0.0055 max mem: 31630 Epoch: [24] [ 370/5278] eta: 3:47:46 lr: 2.1832479001767765e-05 loss: 0.0566 (0.0581) loss_seg: 0.0561 (0.0576) loss_lansim: 0.0539 (0.0502) loss_contra: 0.0005 (0.0045) time: 2.7907 data: 0.0055 max mem: 31630 Epoch: [24] [ 380/5278] eta: 3:47:21 lr: 2.1830141935987675e-05 loss: 0.0564 (0.0582) loss_seg: 0.0559 (0.0577) loss_lansim: 0.0539 (0.0503) loss_contra: 0.0005 (0.0044) time: 2.7927 data: 0.0054 max mem: 31630 Epoch: [24] [ 390/5278] eta: 3:46:48 lr: 2.182780484240738e-05 loss: 0.0564 (0.0582) loss_seg: 0.0558 (0.0576) loss_lansim: 0.0534 (0.0503) loss_contra: 0.0005 (0.0045) time: 2.7861 data: 0.0054 max mem: 31630 Epoch: [24] [ 400/5278] eta: 3:46:23 lr: 2.182546772102324e-05 loss: 0.0554 (0.0581) loss_seg: 0.0548 (0.0575) loss_lansim: 0.0534 (0.0503) loss_contra: 0.0005 (0.0046) time: 2.7861 data: 0.0054 max mem: 31630 Epoch: [24] [ 410/5278] eta: 3:45:53 lr: 2.182313057183162e-05 loss: 0.0546 (0.0582) loss_seg: 0.0540 (0.0576) loss_lansim: 0.0530 (0.0503) loss_contra: 0.0005 (0.0046) time: 2.7850 data: 0.0054 max mem: 31630 Epoch: [24] [ 420/5278] eta: 3:45:26 lr: 2.182079339482889e-05 loss: 0.0537 (0.0580) loss_seg: 0.0531 (0.0574) loss_lansim: 0.0525 (0.0503) loss_contra: 0.0006 (0.0046) time: 2.7815 data: 0.0054 max mem: 31630 Epoch: [24] [ 430/5278] eta: 3:44:56 lr: 2.181845619001139e-05 loss: 0.0528 (0.0578) loss_seg: 0.0523 (0.0572) loss_lansim: 0.0518 (0.0503) loss_contra: 0.0006 (0.0045) time: 2.7856 data: 0.0054 max mem: 31630 Epoch: [24] [ 440/5278] eta: 3:44:29 lr: 2.1816118957375487e-05 loss: 0.0532 (0.0576) loss_seg: 0.0526 (0.0571) loss_lansim: 0.0518 (0.0504) loss_contra: 0.0006 (0.0046) time: 2.7817 data: 0.0054 max mem: 31630 Epoch: [24] [ 450/5278] eta: 3:44:00 lr: 2.181378169691754e-05 loss: 0.0535 (0.0577) loss_seg: 0.0531 (0.0571) loss_lansim: 0.0511 (0.0504) loss_contra: 0.0006 (0.0045) time: 2.7834 data: 0.0054 max mem: 31630 Epoch: [24] [ 460/5278] eta: 3:43:31 lr: 2.181144440863391e-05 loss: 0.0529 (0.0578) loss_seg: 0.0523 (0.0573) loss_lansim: 0.0506 (0.0503) loss_contra: 0.0007 (0.0045) time: 2.7799 data: 0.0054 max mem: 31630 Epoch: [24] [ 470/5278] eta: 3:43:04 lr: 2.1809107092520938e-05 loss: 0.0524 (0.0578) loss_seg: 0.0519 (0.0573) loss_lansim: 0.0503 (0.0503) loss_contra: 0.0007 (0.0044) time: 2.7810 data: 0.0055 max mem: 31630 Epoch: [24] [ 480/5278] eta: 3:42:35 lr: 2.1806769748574994e-05 loss: 0.0519 (0.0579) loss_seg: 0.0514 (0.0573) loss_lansim: 0.0493 (0.0502) loss_contra: 0.0007 (0.0045) time: 2.7775 data: 0.0055 max mem: 31630 Epoch: [24] [ 490/5278] eta: 3:42:12 lr: 2.180443237679242e-05 loss: 0.0498 (0.0577) loss_seg: 0.0493 (0.0571) loss_lansim: 0.0489 (0.0501) loss_contra: 0.0006 (0.0044) time: 2.7869 data: 0.0055 max mem: 31630 Epoch: [24] [ 500/5278] eta: 3:41:43 lr: 2.180209497716958e-05 loss: 0.0491 (0.0576) loss_seg: 0.0487 (0.0571) loss_lansim: 0.0487 (0.0500) loss_contra: 0.0005 (0.0044) time: 2.7829 data: 0.0055 max mem: 31630 Epoch: [24] [ 510/5278] eta: 3:41:20 lr: 2.1799757549702817e-05 loss: 0.0498 (0.0576) loss_seg: 0.0493 (0.0571) loss_lansim: 0.0476 (0.0499) loss_contra: 0.0004 (0.0044) time: 2.7907 data: 0.0055 max mem: 31630 Epoch: [24] [ 520/5278] eta: 3:40:53 lr: 2.1797420094388483e-05 loss: 0.0491 (0.0574) loss_seg: 0.0487 (0.0568) loss_lansim: 0.0470 (0.0498) loss_contra: 0.0004 (0.0043) time: 2.7899 data: 0.0056 max mem: 31630 Epoch: [24] [ 530/5278] eta: 3:40:27 lr: 2.179508261122293e-05 loss: 0.0498 (0.0573) loss_seg: 0.0493 (0.0568) loss_lansim: 0.0466 (0.0497) loss_contra: 0.0003 (0.0044) time: 2.7944 data: 0.0056 max mem: 31630 Epoch: [24] [ 540/5278] eta: 3:40:01 lr: 2.1792745100202512e-05 loss: 0.0498 (0.0572) loss_seg: 0.0493 (0.0567) loss_lansim: 0.0450 (0.0495) loss_contra: 0.0003 (0.0046) time: 2.7964 data: 0.0056 max mem: 31630 Epoch: [24] [ 550/5278] eta: 3:39:33 lr: 2.1790407561323574e-05 loss: 0.0493 (0.0571) loss_seg: 0.0489 (0.0566) loss_lansim: 0.0438 (0.0494) loss_contra: 0.0003 (0.0046) time: 2.7974 data: 0.0056 max mem: 31630 Epoch: [24] [ 560/5278] eta: 3:39:07 lr: 2.1788069994582455e-05 loss: 0.0493 (0.0572) loss_seg: 0.0489 (0.0567) loss_lansim: 0.0433 (0.0493) loss_contra: 0.0003 (0.0046) time: 2.8010 data: 0.0056 max mem: 31630 Epoch: [24] [ 570/5278] eta: 3:38:36 lr: 2.1785732399975512e-05 loss: 0.0493 (0.0572) loss_seg: 0.0489 (0.0566) loss_lansim: 0.0433 (0.0492) loss_contra: 0.0003 (0.0045) time: 2.7965 data: 0.0056 max mem: 31630 Epoch: [24] [ 580/5278] eta: 3:38:11 lr: 2.1783394777499083e-05 loss: 0.0502 (0.0574) loss_seg: 0.0498 (0.0568) loss_lansim: 0.0428 (0.0491) loss_contra: 0.0003 (0.0045) time: 2.8011 data: 0.0056 max mem: 31630 Epoch: [24] [ 590/5278] eta: 3:37:44 lr: 2.1781057127149525e-05 loss: 0.0522 (0.0574) loss_seg: 0.0518 (0.0569) loss_lansim: 0.0425 (0.0490) loss_contra: 0.0003 (0.0044) time: 2.7971 data: 0.0056 max mem: 31630 Epoch: [24] [ 600/5278] eta: 3:37:17 lr: 2.1778719448923167e-05 loss: 0.0522 (0.0575) loss_seg: 0.0518 (0.0569) loss_lansim: 0.0425 (0.0489) loss_contra: 0.0004 (0.0044) time: 2.8011 data: 0.0057 max mem: 31630 Epoch: [24] [ 610/5278] eta: 3:36:47 lr: 2.1776381742816356e-05 loss: 0.0522 (0.0574) loss_seg: 0.0518 (0.0569) loss_lansim: 0.0425 (0.0488) loss_contra: 0.0004 (0.0044) time: 2.7925 data: 0.0056 max mem: 31630 Epoch: [24] [ 620/5278] eta: 3:36:20 lr: 2.177404400882544e-05 loss: 0.0527 (0.0574) loss_seg: 0.0522 (0.0569) loss_lansim: 0.0425 (0.0487) loss_contra: 0.0004 (0.0044) time: 2.7924 data: 0.0056 max mem: 31630 Epoch: [24] [ 630/5278] eta: 3:35:54 lr: 2.1771706246946757e-05 loss: 0.0562 (0.0576) loss_seg: 0.0559 (0.0571) loss_lansim: 0.0425 (0.0486) loss_contra: 0.0004 (0.0044) time: 2.7932 data: 0.0056 max mem: 31630 Epoch: [24] [ 640/5278] eta: 3:35:23 lr: 2.1769368457176646e-05 loss: 0.0572 (0.0577) loss_seg: 0.0567 (0.0571) loss_lansim: 0.0426 (0.0485) loss_contra: 0.0004 (0.0044) time: 2.7875 data: 0.0056 max mem: 31630 Epoch: [24] [ 650/5278] eta: 3:34:58 lr: 2.176703063951144e-05 loss: 0.0564 (0.0575) loss_seg: 0.0560 (0.0570) loss_lansim: 0.0425 (0.0484) loss_contra: 0.0003 (0.0044) time: 2.7916 data: 0.0056 max mem: 31630 Epoch: [24] [ 660/5278] eta: 3:34:28 lr: 2.1764692793947485e-05 loss: 0.0560 (0.0575) loss_seg: 0.0555 (0.0569) loss_lansim: 0.0417 (0.0483) loss_contra: 0.0003 (0.0045) time: 2.7864 data: 0.0056 max mem: 31630 Epoch: [24] [ 670/5278] eta: 3:34:02 lr: 2.1762354920481123e-05 loss: 0.0548 (0.0572) loss_seg: 0.0535 (0.0567) loss_lansim: 0.0420 (0.0482) loss_contra: 0.0003 (0.0047) time: 2.7921 data: 0.0056 max mem: 31630 Epoch: [24] [ 680/5278] eta: 3:33:32 lr: 2.1760017019108682e-05 loss: 0.0533 (0.0572) loss_seg: 0.0529 (0.0566) loss_lansim: 0.0416 (0.0481) loss_contra: 0.0003 (0.0046) time: 2.7869 data: 0.0056 max mem: 31630 Epoch: [24] [ 690/5278] eta: 3:33:07 lr: 2.1757679089826495e-05 loss: 0.0525 (0.0572) loss_seg: 0.0521 (0.0567) loss_lansim: 0.0415 (0.0480) loss_contra: 0.0003 (0.0047) time: 2.7896 data: 0.0056 max mem: 31630 Epoch: [24] [ 700/5278] eta: 3:32:37 lr: 2.17553411326309e-05 loss: 0.0527 (0.0574) loss_seg: 0.0522 (0.0569) loss_lansim: 0.0413 (0.0479) loss_contra: 0.0003 (0.0046) time: 2.7841 data: 0.0056 max mem: 31630 Epoch: [24] [ 710/5278] eta: 3:32:11 lr: 2.1753003147518236e-05 loss: 0.0538 (0.0575) loss_seg: 0.0533 (0.0570) loss_lansim: 0.0412 (0.0478) loss_contra: 0.0003 (0.0047) time: 2.7904 data: 0.0056 max mem: 31630 Epoch: [24] [ 720/5278] eta: 3:31:41 lr: 2.175066513448483e-05 loss: 0.0548 (0.0575) loss_seg: 0.0535 (0.0570) loss_lansim: 0.0409 (0.0477) loss_contra: 0.0003 (0.0047) time: 2.7871 data: 0.0056 max mem: 31630 Epoch: [24] [ 730/5278] eta: 3:31:09 lr: 2.1748327093527013e-05 loss: 0.0519 (0.0576) loss_seg: 0.0515 (0.0571) loss_lansim: 0.0407 (0.0476) loss_contra: 0.0004 (0.0046) time: 2.7775 data: 0.0056 max mem: 31630 Epoch: [24] [ 740/5278] eta: 3:30:38 lr: 2.1745989024641118e-05 loss: 0.0512 (0.0575) loss_seg: 0.0508 (0.0570) loss_lansim: 0.0407 (0.0475) loss_contra: 0.0005 (0.0046) time: 2.7753 data: 0.0057 max mem: 31630 Epoch: [24] [ 750/5278] eta: 3:30:06 lr: 2.1743650927823478e-05 loss: 0.0519 (0.0576) loss_seg: 0.0515 (0.0570) loss_lansim: 0.0409 (0.0474) loss_contra: 0.0005 (0.0045) time: 2.7646 data: 0.0057 max mem: 31630 Epoch: [24] [ 760/5278] eta: 3:29:34 lr: 2.1741312803070417e-05 loss: 0.0523 (0.0575) loss_seg: 0.0518 (0.0570) loss_lansim: 0.0409 (0.0474) loss_contra: 0.0006 (0.0045) time: 2.7611 data: 0.0058 max mem: 31630 Epoch: [24] [ 770/5278] eta: 3:29:03 lr: 2.1738974650378262e-05 loss: 0.0531 (0.0575) loss_seg: 0.0526 (0.0570) loss_lansim: 0.0407 (0.0473) loss_contra: 0.0008 (0.0046) time: 2.7521 data: 0.0058 max mem: 31630 Epoch: [24] [ 780/5278] eta: 3:28:31 lr: 2.173663646974334e-05 loss: 0.0523 (0.0574) loss_seg: 0.0518 (0.0568) loss_lansim: 0.0404 (0.0472) loss_contra: 0.0009 (0.0046) time: 2.7472 data: 0.0058 max mem: 31630 Epoch: [24] [ 790/5278] eta: 3:28:00 lr: 2.1734298261161983e-05 loss: 0.0523 (0.0573) loss_seg: 0.0518 (0.0568) loss_lansim: 0.0404 (0.0471) loss_contra: 0.0009 (0.0046) time: 2.7373 data: 0.0059 max mem: 31630 Epoch: [24] [ 800/5278] eta: 3:27:29 lr: 2.173196002463052e-05 loss: 0.0512 (0.0574) loss_seg: 0.0508 (0.0569) loss_lansim: 0.0397 (0.0470) loss_contra: 0.0009 (0.0045) time: 2.7343 data: 0.0059 max mem: 31630 Epoch: [24] [ 810/5278] eta: 3:26:58 lr: 2.1729621760145263e-05 loss: 0.0500 (0.0574) loss_seg: 0.0496 (0.0569) loss_lansim: 0.0397 (0.0469) loss_contra: 0.0006 (0.0045) time: 2.7241 data: 0.0059 max mem: 31630 Epoch: [24] [ 820/5278] eta: 3:26:26 lr: 2.1727283467702545e-05 loss: 0.0479 (0.0574) loss_seg: 0.0475 (0.0569) loss_lansim: 0.0398 (0.0469) loss_contra: 0.0006 (0.0044) time: 2.7197 data: 0.0059 max mem: 31630 Epoch: [24] [ 830/5278] eta: 3:25:55 lr: 2.172494514729868e-05 loss: 0.0509 (0.0579) loss_seg: 0.0505 (0.0574) loss_lansim: 0.0402 (0.0468) loss_contra: 0.0006 (0.0044) time: 2.7198 data: 0.0060 max mem: 31630 Epoch: [24] [ 840/5278] eta: 3:25:24 lr: 2.172260679893e-05 loss: 0.0509 (0.0579) loss_seg: 0.0505 (0.0574) loss_lansim: 0.0404 (0.0467) loss_contra: 0.0005 (0.0044) time: 2.7186 data: 0.0060 max mem: 31630 Epoch: [24] [ 850/5278] eta: 3:24:53 lr: 2.1720268422592817e-05 loss: 0.0515 (0.0581) loss_seg: 0.0511 (0.0576) loss_lansim: 0.0397 (0.0466) loss_contra: 0.0004 (0.0043) time: 2.7177 data: 0.0060 max mem: 31630 Epoch: [24] [ 860/5278] eta: 3:24:23 lr: 2.1717930018283453e-05 loss: 0.0492 (0.0580) loss_seg: 0.0488 (0.0575) loss_lansim: 0.0390 (0.0465) loss_contra: 0.0004 (0.0043) time: 2.7196 data: 0.0059 max mem: 31630 Epoch: [24] [ 870/5278] eta: 3:23:54 lr: 2.1715591585998228e-05 loss: 0.0492 (0.0580) loss_seg: 0.0488 (0.0575) loss_lansim: 0.0387 (0.0464) loss_contra: 0.0004 (0.0043) time: 2.7224 data: 0.0059 max mem: 31630 Epoch: [24] [ 880/5278] eta: 3:23:24 lr: 2.1713253125733465e-05 loss: 0.0515 (0.0580) loss_seg: 0.0511 (0.0575) loss_lansim: 0.0383 (0.0463) loss_contra: 0.0003 (0.0042) time: 2.7240 data: 0.0059 max mem: 31630 Epoch: [24] [ 890/5278] eta: 3:22:57 lr: 2.171091463748547e-05 loss: 0.0509 (0.0579) loss_seg: 0.0505 (0.0574) loss_lansim: 0.0382 (0.0462) loss_contra: 0.0003 (0.0042) time: 2.7301 data: 0.0059 max mem: 31630 Epoch: [24] [ 900/5278] eta: 3:22:28 lr: 2.170857612125057e-05 loss: 0.0517 (0.0579) loss_seg: 0.0512 (0.0574) loss_lansim: 0.0385 (0.0461) loss_contra: 0.0003 (0.0042) time: 2.7338 data: 0.0058 max mem: 31630 Epoch: [24] [ 910/5278] eta: 3:21:59 lr: 2.1706237577025068e-05 loss: 0.0533 (0.0579) loss_seg: 0.0529 (0.0574) loss_lansim: 0.0387 (0.0460) loss_contra: 0.0004 (0.0041) time: 2.7352 data: 0.0059 max mem: 31630 Epoch: [24] [ 920/5278] eta: 3:21:31 lr: 2.170389900480529e-05 loss: 0.0531 (0.0579) loss_seg: 0.0527 (0.0574) loss_lansim: 0.0383 (0.0460) loss_contra: 0.0003 (0.0041) time: 2.7410 data: 0.0059 max mem: 31630 Epoch: [24] [ 930/5278] eta: 3:21:03 lr: 2.1701560404587547e-05 loss: 0.0520 (0.0579) loss_seg: 0.0516 (0.0574) loss_lansim: 0.0380 (0.0459) loss_contra: 0.0003 (0.0041) time: 2.7465 data: 0.0058 max mem: 31630 Epoch: [24] [ 940/5278] eta: 3:20:35 lr: 2.169922177636814e-05 loss: 0.0517 (0.0580) loss_seg: 0.0512 (0.0575) loss_lansim: 0.0379 (0.0458) loss_contra: 0.0002 (0.0041) time: 2.7522 data: 0.0057 max mem: 31630 Epoch: [24] [ 950/5278] eta: 3:20:08 lr: 2.1696883120143396e-05 loss: 0.0491 (0.0579) loss_seg: 0.0486 (0.0574) loss_lansim: 0.0383 (0.0457) loss_contra: 0.0004 (0.0041) time: 2.7593 data: 0.0057 max mem: 31630 Epoch: [24] [ 960/5278] eta: 3:19:41 lr: 2.1694544435909624e-05 loss: 0.0520 (0.0578) loss_seg: 0.0512 (0.0573) loss_lansim: 0.0385 (0.0457) loss_contra: 0.0004 (0.0041) time: 2.7653 data: 0.0058 max mem: 31630 Epoch: [24] [ 970/5278] eta: 3:19:14 lr: 2.169220572366312e-05 loss: 0.0521 (0.0578) loss_seg: 0.0517 (0.0573) loss_lansim: 0.0388 (0.0456) loss_contra: 0.0003 (0.0040) time: 2.7694 data: 0.0058 max mem: 31630 Epoch: [24] [ 980/5278] eta: 3:18:46 lr: 2.1689866983400204e-05 loss: 0.0520 (0.0577) loss_seg: 0.0511 (0.0573) loss_lansim: 0.0391 (0.0456) loss_contra: 0.0003 (0.0040) time: 2.7735 data: 0.0058 max mem: 31630 Epoch: [24] [ 990/5278] eta: 3:18:18 lr: 2.168752821511718e-05 loss: 0.0518 (0.0578) loss_seg: 0.0511 (0.0573) loss_lansim: 0.0399 (0.0456) loss_contra: 0.0002 (0.0040) time: 2.7716 data: 0.0057 max mem: 31630 Epoch: [24] [1000/5278] eta: 3:17:49 lr: 2.168518941881036e-05 loss: 0.0520 (0.0579) loss_seg: 0.0514 (0.0574) loss_lansim: 0.0400 (0.0455) loss_contra: 0.0002 (0.0039) time: 2.7714 data: 0.0057 max mem: 31630 Epoch: [24] [1010/5278] eta: 3:17:23 lr: 2.168285059447604e-05 loss: 0.0496 (0.0578) loss_seg: 0.0492 (0.0573) loss_lansim: 0.0400 (0.0455) loss_contra: 0.0002 (0.0039) time: 2.7796 data: 0.0056 max mem: 31630 Epoch: [24] [1020/5278] eta: 3:16:56 lr: 2.168051174211053e-05 loss: 0.0495 (0.0577) loss_seg: 0.0491 (0.0572) loss_lansim: 0.0401 (0.0455) loss_contra: 0.0002 (0.0039) time: 2.7813 data: 0.0056 max mem: 31630 Epoch: [24] [1030/5278] eta: 3:16:28 lr: 2.1678172861710136e-05 loss: 0.0495 (0.0578) loss_seg: 0.0491 (0.0573) loss_lansim: 0.0400 (0.0454) loss_contra: 0.0002 (0.0038) time: 2.7806 data: 0.0056 max mem: 31630 Epoch: [24] [1040/5278] eta: 3:16:01 lr: 2.1675833953271157e-05 loss: 0.0499 (0.0578) loss_seg: 0.0495 (0.0573) loss_lansim: 0.0400 (0.0454) loss_contra: 0.0002 (0.0038) time: 2.7824 data: 0.0056 max mem: 31630 Epoch: [24] [1050/5278] eta: 3:15:33 lr: 2.167349501678991e-05 loss: 0.0504 (0.0578) loss_seg: 0.0500 (0.0573) loss_lansim: 0.0401 (0.0453) loss_contra: 0.0002 (0.0038) time: 2.7808 data: 0.0055 max mem: 31630 Epoch: [24] [1060/5278] eta: 3:15:04 lr: 2.167115605226267e-05 loss: 0.0499 (0.0577) loss_seg: 0.0495 (0.0573) loss_lansim: 0.0405 (0.0453) loss_contra: 0.0002 (0.0038) time: 2.7759 data: 0.0055 max mem: 31630 Epoch: [24] [1070/5278] eta: 3:14:37 lr: 2.1668817059685755e-05 loss: 0.0511 (0.0578) loss_seg: 0.0506 (0.0573) loss_lansim: 0.0405 (0.0452) loss_contra: 0.0003 (0.0038) time: 2.7766 data: 0.0055 max mem: 31630 Epoch: [24] [1080/5278] eta: 3:14:08 lr: 2.1666478039055463e-05 loss: 0.0513 (0.0577) loss_seg: 0.0509 (0.0572) loss_lansim: 0.0405 (0.0452) loss_contra: 0.0002 (0.0038) time: 2.7748 data: 0.0055 max mem: 31630 Epoch: [24] [1090/5278] eta: 3:13:41 lr: 2.1664138990368095e-05 loss: 0.0517 (0.0578) loss_seg: 0.0513 (0.0573) loss_lansim: 0.0404 (0.0452) loss_contra: 0.0002 (0.0039) time: 2.7764 data: 0.0055 max mem: 31630 Epoch: [24] [1100/5278] eta: 3:13:13 lr: 2.1661799913619936e-05 loss: 0.0501 (0.0577) loss_seg: 0.0497 (0.0573) loss_lansim: 0.0400 (0.0451) loss_contra: 0.0003 (0.0039) time: 2.7776 data: 0.0055 max mem: 31630 Epoch: [24] [1110/5278] eta: 3:12:44 lr: 2.1659460808807288e-05 loss: 0.0501 (0.0578) loss_seg: 0.0497 (0.0573) loss_lansim: 0.0404 (0.0451) loss_contra: 0.0004 (0.0039) time: 2.7693 data: 0.0055 max mem: 31630 Epoch: [24] [1120/5278] eta: 3:12:17 lr: 2.1657121675926455e-05 loss: 0.0509 (0.0577) loss_seg: 0.0504 (0.0572) loss_lansim: 0.0404 (0.0450) loss_contra: 0.0004 (0.0038) time: 2.7706 data: 0.0054 max mem: 31630 Epoch: [24] [1130/5278] eta: 3:11:48 lr: 2.1654782514973727e-05 loss: 0.0510 (0.0577) loss_seg: 0.0506 (0.0572) loss_lansim: 0.0406 (0.0450) loss_contra: 0.0004 (0.0042) time: 2.7680 data: 0.0054 max mem: 31630 Epoch: [24] [1140/5278] eta: 3:11:19 lr: 2.165244332594539e-05 loss: 0.0514 (0.0578) loss_seg: 0.0510 (0.0573) loss_lansim: 0.0405 (0.0450) loss_contra: 0.0005 (0.0041) time: 2.7627 data: 0.0054 max mem: 31630 Epoch: [24] [1150/5278] eta: 3:10:51 lr: 2.1650104108837746e-05 loss: 0.0538 (0.0579) loss_seg: 0.0534 (0.0574) loss_lansim: 0.0409 (0.0450) loss_contra: 0.0006 (0.0042) time: 2.7638 data: 0.0054 max mem: 31630 Epoch: [24] [1160/5278] eta: 3:10:22 lr: 2.1647764863647083e-05 loss: 0.0514 (0.0578) loss_seg: 0.0510 (0.0573) loss_lansim: 0.0406 (0.0449) loss_contra: 0.0005 (0.0042) time: 2.7635 data: 0.0054 max mem: 31630 Epoch: [24] [1170/5278] eta: 3:09:55 lr: 2.16454255903697e-05 loss: 0.0510 (0.0578) loss_seg: 0.0506 (0.0573) loss_lansim: 0.0404 (0.0449) loss_contra: 0.0005 (0.0041) time: 2.7619 data: 0.0054 max mem: 31630 Epoch: [24] [1180/5278] eta: 3:09:27 lr: 2.164308628900187e-05 loss: 0.0514 (0.0579) loss_seg: 0.0510 (0.0574) loss_lansim: 0.0410 (0.0449) loss_contra: 0.0007 (0.0042) time: 2.7620 data: 0.0054 max mem: 31630 Epoch: [24] [1190/5278] eta: 3:08:59 lr: 2.1640746959539892e-05 loss: 0.0510 (0.0578) loss_seg: 0.0506 (0.0574) loss_lansim: 0.0406 (0.0448) loss_contra: 0.0008 (0.0044) time: 2.7624 data: 0.0055 max mem: 31630 Epoch: [24] [1200/5278] eta: 3:08:32 lr: 2.1638407601980056e-05 loss: 0.0514 (0.0579) loss_seg: 0.0510 (0.0574) loss_lansim: 0.0406 (0.0448) loss_contra: 0.0010 (0.0044) time: 2.7637 data: 0.0055 max mem: 31630 Epoch: [24] [1210/5278] eta: 3:08:04 lr: 2.1636068216318652e-05 loss: 0.0514 (0.0578) loss_seg: 0.0510 (0.0573) loss_lansim: 0.0402 (0.0447) loss_contra: 0.0011 (0.0045) time: 2.7669 data: 0.0055 max mem: 31630 Epoch: [24] [1220/5278] eta: 3:07:36 lr: 2.163372880255196e-05 loss: 0.0526 (0.0579) loss_seg: 0.0522 (0.0574) loss_lansim: 0.0405 (0.0447) loss_contra: 0.0011 (0.0045) time: 2.7653 data: 0.0056 max mem: 31630 Epoch: [24] [1230/5278] eta: 3:07:09 lr: 2.1631389360676262e-05 loss: 0.0527 (0.0579) loss_seg: 0.0523 (0.0574) loss_lansim: 0.0407 (0.0447) loss_contra: 0.0011 (0.0045) time: 2.7714 data: 0.0056 max mem: 31630 Epoch: [24] [1240/5278] eta: 3:06:42 lr: 2.162904989068785e-05 loss: 0.0521 (0.0579) loss_seg: 0.0516 (0.0574) loss_lansim: 0.0410 (0.0447) loss_contra: 0.0009 (0.0045) time: 2.7748 data: 0.0057 max mem: 31630 Epoch: [24] [1250/5278] eta: 3:06:14 lr: 2.162671039258301e-05 loss: 0.0510 (0.0579) loss_seg: 0.0506 (0.0574) loss_lansim: 0.0407 (0.0447) loss_contra: 0.0007 (0.0044) time: 2.7759 data: 0.0057 max mem: 31630 Epoch: [24] [1260/5278] eta: 3:05:47 lr: 2.1624370866358015e-05 loss: 0.0523 (0.0580) loss_seg: 0.0518 (0.0575) loss_lansim: 0.0410 (0.0447) loss_contra: 0.0008 (0.0044) time: 2.7802 data: 0.0058 max mem: 31630 Epoch: [24] [1270/5278] eta: 3:05:19 lr: 2.162203131200915e-05 loss: 0.0521 (0.0580) loss_seg: 0.0516 (0.0575) loss_lansim: 0.0411 (0.0446) loss_contra: 0.0007 (0.0044) time: 2.7806 data: 0.0058 max mem: 31630 Epoch: [24] [1280/5278] eta: 3:04:53 lr: 2.1619691729532697e-05 loss: 0.0523 (0.0580) loss_seg: 0.0518 (0.0575) loss_lansim: 0.0408 (0.0446) loss_contra: 0.0008 (0.0044) time: 2.7851 data: 0.0058 max mem: 31630 Epoch: [24] [1290/5278] eta: 3:04:25 lr: 2.1617352118924936e-05 loss: 0.0526 (0.0579) loss_seg: 0.0522 (0.0574) loss_lansim: 0.0411 (0.0446) loss_contra: 0.0006 (0.0044) time: 2.7842 data: 0.0058 max mem: 31630 Epoch: [24] [1300/5278] eta: 3:03:59 lr: 2.161501248018215e-05 loss: 0.0542 (0.0580) loss_seg: 0.0539 (0.0575) loss_lansim: 0.0411 (0.0446) loss_contra: 0.0005 (0.0043) time: 2.7894 data: 0.0057 max mem: 31630 Epoch: [24] [1310/5278] eta: 3:03:30 lr: 2.1612672813300606e-05 loss: 0.0558 (0.0579) loss_seg: 0.0553 (0.0575) loss_lansim: 0.0411 (0.0445) loss_contra: 0.0005 (0.0043) time: 2.7878 data: 0.0057 max mem: 31630 Epoch: [24] [1320/5278] eta: 3:03:04 lr: 2.1610333118276586e-05 loss: 0.0558 (0.0579) loss_seg: 0.0553 (0.0575) loss_lansim: 0.0411 (0.0445) loss_contra: 0.0005 (0.0043) time: 2.7901 data: 0.0057 max mem: 31630 Epoch: [24] [1330/5278] eta: 3:02:35 lr: 2.1607993395106366e-05 loss: 0.0547 (0.0579) loss_seg: 0.0542 (0.0574) loss_lansim: 0.0408 (0.0444) loss_contra: 0.0004 (0.0043) time: 2.7852 data: 0.0056 max mem: 31630 Epoch: [24] [1340/5278] eta: 3:02:09 lr: 2.1605653643786226e-05 loss: 0.0558 (0.0579) loss_seg: 0.0553 (0.0574) loss_lansim: 0.0408 (0.0444) loss_contra: 0.0003 (0.0043) time: 2.7893 data: 0.0056 max mem: 31630 Epoch: [24] [1350/5278] eta: 3:01:41 lr: 2.1603313864312436e-05 loss: 0.0547 (0.0578) loss_seg: 0.0542 (0.0573) loss_lansim: 0.0406 (0.0444) loss_contra: 0.0004 (0.0043) time: 2.7879 data: 0.0056 max mem: 31630 Epoch: [24] [1360/5278] eta: 3:01:14 lr: 2.1600974056681267e-05 loss: 0.0543 (0.0580) loss_seg: 0.0539 (0.0575) loss_lansim: 0.0406 (0.0443) loss_contra: 0.0003 (0.0043) time: 2.7881 data: 0.0057 max mem: 31630 Epoch: [24] [1370/5278] eta: 3:00:45 lr: 2.159863422088899e-05 loss: 0.0551 (0.0581) loss_seg: 0.0547 (0.0577) loss_lansim: 0.0403 (0.0443) loss_contra: 0.0004 (0.0043) time: 2.7861 data: 0.0057 max mem: 31630 Epoch: [24] [1380/5278] eta: 3:00:18 lr: 2.159629435693189e-05 loss: 0.0547 (0.0581) loss_seg: 0.0542 (0.0576) loss_lansim: 0.0398 (0.0443) loss_contra: 0.0003 (0.0043) time: 2.7852 data: 0.0057 max mem: 31630 Epoch: [24] [1390/5278] eta: 2:59:51 lr: 2.1593954464806217e-05 loss: 0.0531 (0.0580) loss_seg: 0.0527 (0.0575) loss_lansim: 0.0398 (0.0442) loss_contra: 0.0003 (0.0043) time: 2.7867 data: 0.0057 max mem: 31630 Epoch: [24] [1400/5278] eta: 2:59:24 lr: 2.1591614544508252e-05 loss: 0.0519 (0.0580) loss_seg: 0.0514 (0.0575) loss_lansim: 0.0394 (0.0442) loss_contra: 0.0003 (0.0042) time: 2.7836 data: 0.0057 max mem: 31630 Epoch: [24] [1410/5278] eta: 2:58:56 lr: 2.158927459603426e-05 loss: 0.0525 (0.0581) loss_seg: 0.0521 (0.0576) loss_lansim: 0.0399 (0.0442) loss_contra: 0.0004 (0.0042) time: 2.7876 data: 0.0057 max mem: 31630 Epoch: [24] [1420/5278] eta: 2:58:29 lr: 2.1586934619380518e-05 loss: 0.0512 (0.0580) loss_seg: 0.0509 (0.0576) loss_lansim: 0.0392 (0.0442) loss_contra: 0.0004 (0.0042) time: 2.7866 data: 0.0057 max mem: 31630 Epoch: [24] [1430/5278] eta: 2:58:01 lr: 2.1584594614543278e-05 loss: 0.0517 (0.0580) loss_seg: 0.0513 (0.0576) loss_lansim: 0.0394 (0.0441) loss_contra: 0.0004 (0.0042) time: 2.7891 data: 0.0058 max mem: 31630 Epoch: [24] [1440/5278] eta: 2:57:33 lr: 2.158225458151881e-05 loss: 0.0528 (0.0581) loss_seg: 0.0523 (0.0576) loss_lansim: 0.0397 (0.0441) loss_contra: 0.0004 (0.0042) time: 2.7840 data: 0.0058 max mem: 31630 Epoch: [24] [1450/5278] eta: 2:57:05 lr: 2.1579914520303383e-05 loss: 0.0542 (0.0581) loss_seg: 0.0538 (0.0576) loss_lansim: 0.0399 (0.0441) loss_contra: 0.0003 (0.0041) time: 2.7812 data: 0.0058 max mem: 31630 Epoch: [24] [1460/5278] eta: 2:56:37 lr: 2.157757443089326e-05 loss: 0.0537 (0.0581) loss_seg: 0.0533 (0.0576) loss_lansim: 0.0399 (0.0441) loss_contra: 0.0004 (0.0042) time: 2.7789 data: 0.0058 max mem: 31630 Epoch: [24] [1470/5278] eta: 2:56:09 lr: 2.15752343132847e-05 loss: 0.0537 (0.0582) loss_seg: 0.0533 (0.0577) loss_lansim: 0.0402 (0.0441) loss_contra: 0.0004 (0.0042) time: 2.7793 data: 0.0059 max mem: 31630 Epoch: [24] [1480/5278] eta: 2:55:40 lr: 2.1572894167473967e-05 loss: 0.0543 (0.0582) loss_seg: 0.0539 (0.0577) loss_lansim: 0.0406 (0.0440) loss_contra: 0.0004 (0.0041) time: 2.7737 data: 0.0059 max mem: 31630 Epoch: [24] [1490/5278] eta: 2:55:12 lr: 2.157055399345732e-05 loss: 0.0549 (0.0582) loss_seg: 0.0546 (0.0577) loss_lansim: 0.0401 (0.0440) loss_contra: 0.0004 (0.0041) time: 2.7717 data: 0.0058 max mem: 31630 Epoch: [24] [1500/5278] eta: 2:54:44 lr: 2.156821379123103e-05 loss: 0.0547 (0.0581) loss_seg: 0.0542 (0.0577) loss_lansim: 0.0401 (0.0440) loss_contra: 0.0004 (0.0041) time: 2.7656 data: 0.0058 max mem: 31630 Epoch: [24] [1510/5278] eta: 2:54:16 lr: 2.1565873560791338e-05 loss: 0.0534 (0.0581) loss_seg: 0.0529 (0.0576) loss_lansim: 0.0402 (0.0440) loss_contra: 0.0004 (0.0041) time: 2.7647 data: 0.0058 max mem: 31630 Epoch: [24] [1520/5278] eta: 2:53:47 lr: 2.1563533302134512e-05 loss: 0.0537 (0.0582) loss_seg: 0.0533 (0.0577) loss_lansim: 0.0408 (0.0440) loss_contra: 0.0003 (0.0041) time: 2.7586 data: 0.0058 max mem: 31630 Epoch: [24] [1530/5278] eta: 2:53:20 lr: 2.1561193015256805e-05 loss: 0.0534 (0.0583) loss_seg: 0.0529 (0.0578) loss_lansim: 0.0410 (0.0439) loss_contra: 0.0003 (0.0041) time: 2.7606 data: 0.0057 max mem: 31630 Epoch: [24] [1540/5278] eta: 2:52:52 lr: 2.155885270015448e-05 loss: 0.0533 (0.0582) loss_seg: 0.0529 (0.0578) loss_lansim: 0.0403 (0.0439) loss_contra: 0.0004 (0.0041) time: 2.7612 data: 0.0057 max mem: 31630 Epoch: [24] [1550/5278] eta: 2:52:25 lr: 2.1556512356823792e-05 loss: 0.0520 (0.0582) loss_seg: 0.0515 (0.0577) loss_lansim: 0.0402 (0.0439) loss_contra: 0.0004 (0.0041) time: 2.7672 data: 0.0056 max mem: 31630 Epoch: [24] [1560/5278] eta: 2:51:58 lr: 2.1554171985260984e-05 loss: 0.0526 (0.0582) loss_seg: 0.0522 (0.0577) loss_lansim: 0.0400 (0.0439) loss_contra: 0.0004 (0.0041) time: 2.7699 data: 0.0055 max mem: 31630 Epoch: [24] [1570/5278] eta: 2:51:30 lr: 2.1551831585462316e-05 loss: 0.0531 (0.0582) loss_seg: 0.0527 (0.0577) loss_lansim: 0.0398 (0.0438) loss_contra: 0.0003 (0.0041) time: 2.7706 data: 0.0055 max mem: 31630 Epoch: [24] [1580/5278] eta: 2:51:03 lr: 2.1549491157424044e-05 loss: 0.0525 (0.0582) loss_seg: 0.0519 (0.0577) loss_lansim: 0.0394 (0.0438) loss_contra: 0.0004 (0.0040) time: 2.7777 data: 0.0055 max mem: 31630 Epoch: [24] [1590/5278] eta: 2:50:36 lr: 2.1547150701142418e-05 loss: 0.0533 (0.0582) loss_seg: 0.0529 (0.0577) loss_lansim: 0.0388 (0.0438) loss_contra: 0.0003 (0.0040) time: 2.7786 data: 0.0055 max mem: 31630 Epoch: [24] [1600/5278] eta: 2:50:09 lr: 2.1544810216613685e-05 loss: 0.0531 (0.0582) loss_seg: 0.0527 (0.0577) loss_lansim: 0.0391 (0.0438) loss_contra: 0.0003 (0.0040) time: 2.7856 data: 0.0055 max mem: 31630 Epoch: [24] [1610/5278] eta: 2:49:41 lr: 2.1542469703834094e-05 loss: 0.0540 (0.0582) loss_seg: 0.0536 (0.0578) loss_lansim: 0.0391 (0.0437) loss_contra: 0.0003 (0.0040) time: 2.7853 data: 0.0056 max mem: 31630 Epoch: [24] [1620/5278] eta: 2:49:13 lr: 2.1540129162799895e-05 loss: 0.0543 (0.0583) loss_seg: 0.0540 (0.0578) loss_lansim: 0.0387 (0.0437) loss_contra: 0.0003 (0.0040) time: 2.7894 data: 0.0055 max mem: 31630 Epoch: [24] [1630/5278] eta: 2:48:45 lr: 2.1537788593507343e-05 loss: 0.0543 (0.0583) loss_seg: 0.0540 (0.0578) loss_lansim: 0.0387 (0.0437) loss_contra: 0.0003 (0.0040) time: 2.7875 data: 0.0056 max mem: 31630 Epoch: [24] [1640/5278] eta: 2:48:18 lr: 2.1535447995952672e-05 loss: 0.0557 (0.0583) loss_seg: 0.0552 (0.0578) loss_lansim: 0.0391 (0.0437) loss_contra: 0.0002 (0.0040) time: 2.7883 data: 0.0056 max mem: 31630 Epoch: [24] [1650/5278] eta: 2:47:50 lr: 2.1533107370132132e-05 loss: 0.0555 (0.0583) loss_seg: 0.0550 (0.0579) loss_lansim: 0.0391 (0.0437) loss_contra: 0.0002 (0.0040) time: 2.7870 data: 0.0056 max mem: 31630 Epoch: [24] [1660/5278] eta: 2:47:23 lr: 2.1530766716041973e-05 loss: 0.0547 (0.0584) loss_seg: 0.0544 (0.0579) loss_lansim: 0.0391 (0.0436) loss_contra: 0.0002 (0.0040) time: 2.7889 data: 0.0056 max mem: 31630 Epoch: [24] [1670/5278] eta: 2:46:56 lr: 2.1528426033678436e-05 loss: 0.0547 (0.0585) loss_seg: 0.0544 (0.0580) loss_lansim: 0.0391 (0.0436) loss_contra: 0.0003 (0.0040) time: 2.7900 data: 0.0056 max mem: 31630 Epoch: [24] [1680/5278] eta: 2:46:28 lr: 2.152608532303776e-05 loss: 0.0547 (0.0585) loss_seg: 0.0544 (0.0580) loss_lansim: 0.0396 (0.0436) loss_contra: 0.0002 (0.0040) time: 2.7864 data: 0.0056 max mem: 31630 Epoch: [24] [1690/5278] eta: 2:46:00 lr: 2.1523744584116186e-05 loss: 0.0533 (0.0585) loss_seg: 0.0529 (0.0580) loss_lansim: 0.0400 (0.0436) loss_contra: 0.0003 (0.0039) time: 2.7866 data: 0.0056 max mem: 31630 Epoch: [24] [1700/5278] eta: 2:45:32 lr: 2.1521403816909964e-05 loss: 0.0555 (0.0585) loss_seg: 0.0551 (0.0580) loss_lansim: 0.0403 (0.0436) loss_contra: 0.0003 (0.0039) time: 2.7819 data: 0.0056 max mem: 31630 Epoch: [24] [1710/5278] eta: 2:45:05 lr: 2.151906302141533e-05 loss: 0.0517 (0.0584) loss_seg: 0.0513 (0.0580) loss_lansim: 0.0405 (0.0436) loss_contra: 0.0003 (0.0039) time: 2.7848 data: 0.0055 max mem: 31630 Epoch: [24] [1720/5278] eta: 2:44:37 lr: 2.1516722197628518e-05 loss: 0.0517 (0.0586) loss_seg: 0.0513 (0.0581) loss_lansim: 0.0407 (0.0436) loss_contra: 0.0004 (0.0039) time: 2.7826 data: 0.0056 max mem: 31630 Epoch: [24] [1730/5278] eta: 2:44:10 lr: 2.1514381345545766e-05 loss: 0.0517 (0.0585) loss_seg: 0.0512 (0.0581) loss_lansim: 0.0406 (0.0436) loss_contra: 0.0004 (0.0040) time: 2.7860 data: 0.0056 max mem: 31630 Epoch: [24] [1740/5278] eta: 2:43:42 lr: 2.1512040465163318e-05 loss: 0.0512 (0.0585) loss_seg: 0.0508 (0.0581) loss_lansim: 0.0406 (0.0435) loss_contra: 0.0004 (0.0040) time: 2.7849 data: 0.0056 max mem: 31630 Epoch: [24] [1750/5278] eta: 2:43:14 lr: 2.1509699556477413e-05 loss: 0.0533 (0.0586) loss_seg: 0.0529 (0.0582) loss_lansim: 0.0407 (0.0435) loss_contra: 0.0005 (0.0040) time: 2.7833 data: 0.0056 max mem: 31630 Epoch: [24] [1760/5278] eta: 2:42:47 lr: 2.1507358619484273e-05 loss: 0.0533 (0.0586) loss_seg: 0.0529 (0.0581) loss_lansim: 0.0407 (0.0435) loss_contra: 0.0005 (0.0040) time: 2.7824 data: 0.0056 max mem: 31630 Epoch: [24] [1770/5278] eta: 2:42:19 lr: 2.150501765418014e-05 loss: 0.0556 (0.0587) loss_seg: 0.0545 (0.0583) loss_lansim: 0.0415 (0.0435) loss_contra: 0.0004 (0.0040) time: 2.7824 data: 0.0056 max mem: 31630 Epoch: [24] [1780/5278] eta: 2:41:52 lr: 2.1502676660561244e-05 loss: 0.0557 (0.0587) loss_seg: 0.0553 (0.0583) loss_lansim: 0.0413 (0.0435) loss_contra: 0.0004 (0.0040) time: 2.7847 data: 0.0056 max mem: 31630 Epoch: [24] [1790/5278] eta: 2:41:24 lr: 2.1500335638623818e-05 loss: 0.0556 (0.0587) loss_seg: 0.0545 (0.0582) loss_lansim: 0.0409 (0.0435) loss_contra: 0.0004 (0.0040) time: 2.7812 data: 0.0056 max mem: 31630 Epoch: [24] [1800/5278] eta: 2:40:56 lr: 2.1497994588364105e-05 loss: 0.0557 (0.0587) loss_seg: 0.0545 (0.0582) loss_lansim: 0.0407 (0.0435) loss_contra: 0.0004 (0.0040) time: 2.7842 data: 0.0056 max mem: 31630 Epoch: [24] [1810/5278] eta: 2:40:28 lr: 2.149565350977832e-05 loss: 0.0580 (0.0587) loss_seg: 0.0576 (0.0582) loss_lansim: 0.0406 (0.0435) loss_contra: 0.0004 (0.0040) time: 2.7794 data: 0.0056 max mem: 31630 Epoch: [24] [1820/5278] eta: 2:40:00 lr: 2.1493312402862696e-05 loss: 0.0580 (0.0587) loss_seg: 0.0576 (0.0583) loss_lansim: 0.0405 (0.0434) loss_contra: 0.0003 (0.0040) time: 2.7818 data: 0.0056 max mem: 31630 Epoch: [24] [1830/5278] eta: 2:39:32 lr: 2.1490971267613462e-05 loss: 0.0582 (0.0587) loss_seg: 0.0578 (0.0583) loss_lansim: 0.0406 (0.0434) loss_contra: 0.0003 (0.0039) time: 2.7759 data: 0.0056 max mem: 31630 Epoch: [24] [1840/5278] eta: 2:39:05 lr: 2.1488630104026852e-05 loss: 0.0582 (0.0587) loss_seg: 0.0578 (0.0583) loss_lansim: 0.0406 (0.0434) loss_contra: 0.0004 (0.0039) time: 2.7772 data: 0.0056 max mem: 31630 Epoch: [24] [1850/5278] eta: 2:38:37 lr: 2.1486288912099083e-05 loss: 0.0578 (0.0587) loss_seg: 0.0574 (0.0583) loss_lansim: 0.0409 (0.0434) loss_contra: 0.0003 (0.0040) time: 2.7768 data: 0.0056 max mem: 31630 Epoch: [24] [1860/5278] eta: 2:38:09 lr: 2.1483947691826385e-05 loss: 0.0578 (0.0588) loss_seg: 0.0574 (0.0583) loss_lansim: 0.0406 (0.0434) loss_contra: 0.0003 (0.0039) time: 2.7730 data: 0.0056 max mem: 31630 Epoch: [24] [1870/5278] eta: 2:37:41 lr: 2.1481606443204986e-05 loss: 0.0567 (0.0588) loss_seg: 0.0563 (0.0583) loss_lansim: 0.0404 (0.0434) loss_contra: 0.0003 (0.0039) time: 2.7732 data: 0.0056 max mem: 31630 Epoch: [24] [1880/5278] eta: 2:37:13 lr: 2.1479265166231107e-05 loss: 0.0566 (0.0588) loss_seg: 0.0561 (0.0583) loss_lansim: 0.0404 (0.0434) loss_contra: 0.0003 (0.0039) time: 2.7707 data: 0.0056 max mem: 31630 Epoch: [24] [1890/5278] eta: 2:36:46 lr: 2.1476923860900968e-05 loss: 0.0581 (0.0589) loss_seg: 0.0578 (0.0584) loss_lansim: 0.0409 (0.0434) loss_contra: 0.0003 (0.0039) time: 2.7780 data: 0.0056 max mem: 31630 Epoch: [24] [1900/5278] eta: 2:36:18 lr: 2.147458252721079e-05 loss: 0.0566 (0.0589) loss_seg: 0.0562 (0.0584) loss_lansim: 0.0412 (0.0434) loss_contra: 0.0003 (0.0039) time: 2.7742 data: 0.0056 max mem: 31630 Epoch: [24] [1910/5278] eta: 2:35:51 lr: 2.1472241165156794e-05 loss: 0.0566 (0.0589) loss_seg: 0.0562 (0.0584) loss_lansim: 0.0414 (0.0434) loss_contra: 0.0003 (0.0041) time: 2.7778 data: 0.0057 max mem: 31630 Epoch: [24] [1920/5278] eta: 2:35:22 lr: 2.1469899774735212e-05 loss: 0.0566 (0.0590) loss_seg: 0.0562 (0.0585) loss_lansim: 0.0419 (0.0434) loss_contra: 0.0003 (0.0040) time: 2.7744 data: 0.0057 max mem: 31630 Epoch: [24] [1930/5278] eta: 2:34:55 lr: 2.1467558355942248e-05 loss: 0.0565 (0.0590) loss_seg: 0.0561 (0.0585) loss_lansim: 0.0420 (0.0434) loss_contra: 0.0003 (0.0041) time: 2.7788 data: 0.0057 max mem: 31630 Epoch: [24] [1940/5278] eta: 2:34:27 lr: 2.146521690877412e-05 loss: 0.0565 (0.0591) loss_seg: 0.0561 (0.0586) loss_lansim: 0.0420 (0.0434) loss_contra: 0.0003 (0.0041) time: 2.7771 data: 0.0056 max mem: 31630 Epoch: [24] [1950/5278] eta: 2:33:59 lr: 2.1462875433227055e-05 loss: 0.0562 (0.0590) loss_seg: 0.0559 (0.0586) loss_lansim: 0.0419 (0.0434) loss_contra: 0.0003 (0.0040) time: 2.7770 data: 0.0056 max mem: 31630 Epoch: [24] [1960/5278] eta: 2:33:31 lr: 2.1460533929297267e-05 loss: 0.0562 (0.0590) loss_seg: 0.0559 (0.0586) loss_lansim: 0.0419 (0.0433) loss_contra: 0.0004 (0.0040) time: 2.7772 data: 0.0056 max mem: 31630 Epoch: [24] [1970/5278] eta: 2:33:03 lr: 2.1458192396980966e-05 loss: 0.0555 (0.0590) loss_seg: 0.0550 (0.0586) loss_lansim: 0.0419 (0.0433) loss_contra: 0.0003 (0.0040) time: 2.7752 data: 0.0056 max mem: 31630 Epoch: [24] [1980/5278] eta: 2:32:35 lr: 2.1455850836274367e-05 loss: 0.0557 (0.0590) loss_seg: 0.0551 (0.0585) loss_lansim: 0.0414 (0.0433) loss_contra: 0.0004 (0.0040) time: 2.7721 data: 0.0055 max mem: 31630 Epoch: [24] [1990/5278] eta: 2:32:07 lr: 2.1453509247173682e-05 loss: 0.0557 (0.0591) loss_seg: 0.0551 (0.0586) loss_lansim: 0.0413 (0.0433) loss_contra: 0.0004 (0.0040) time: 2.7679 data: 0.0055 max mem: 31630 Epoch: [24] [2000/5278] eta: 2:31:39 lr: 2.145116762967513e-05 loss: 0.0557 (0.0591) loss_seg: 0.0551 (0.0587) loss_lansim: 0.0410 (0.0433) loss_contra: 0.0003 (0.0040) time: 2.7660 data: 0.0055 max mem: 31630 Epoch: [24] [2010/5278] eta: 2:31:12 lr: 2.1448825983774916e-05 loss: 0.0545 (0.0591) loss_seg: 0.0540 (0.0586) loss_lansim: 0.0415 (0.0433) loss_contra: 0.0004 (0.0040) time: 2.7670 data: 0.0055 max mem: 31630 Epoch: [24] [2020/5278] eta: 2:30:43 lr: 2.144648430946925e-05 loss: 0.0534 (0.0591) loss_seg: 0.0530 (0.0586) loss_lansim: 0.0415 (0.0433) loss_contra: 0.0005 (0.0040) time: 2.7643 data: 0.0055 max mem: 31630 Epoch: [24] [2030/5278] eta: 2:30:15 lr: 2.1444142606754344e-05 loss: 0.0534 (0.0591) loss_seg: 0.0530 (0.0586) loss_lansim: 0.0414 (0.0433) loss_contra: 0.0005 (0.0040) time: 2.7631 data: 0.0055 max mem: 31630 Epoch: [24] [2040/5278] eta: 2:29:47 lr: 2.1441800875626403e-05 loss: 0.0531 (0.0590) loss_seg: 0.0527 (0.0586) loss_lansim: 0.0414 (0.0433) loss_contra: 0.0005 (0.0040) time: 2.7597 data: 0.0055 max mem: 31630 Epoch: [24] [2050/5278] eta: 2:29:18 lr: 2.1439459116081642e-05 loss: 0.0532 (0.0590) loss_seg: 0.0528 (0.0585) loss_lansim: 0.0417 (0.0433) loss_contra: 0.0005 (0.0040) time: 2.7556 data: 0.0056 max mem: 31630 Epoch: [24] [2060/5278] eta: 2:28:50 lr: 2.143711732811626e-05 loss: 0.0531 (0.0589) loss_seg: 0.0527 (0.0585) loss_lansim: 0.0418 (0.0433) loss_contra: 0.0005 (0.0041) time: 2.7552 data: 0.0056 max mem: 31630 Epoch: [24] [2070/5278] eta: 2:28:22 lr: 2.143477551172646e-05 loss: 0.0524 (0.0589) loss_seg: 0.0520 (0.0585) loss_lansim: 0.0420 (0.0433) loss_contra: 0.0005 (0.0041) time: 2.7544 data: 0.0056 max mem: 31630 Epoch: [24] [2080/5278] eta: 2:27:54 lr: 2.143243366690845e-05 loss: 0.0515 (0.0590) loss_seg: 0.0510 (0.0585) loss_lansim: 0.0426 (0.0433) loss_contra: 0.0005 (0.0040) time: 2.7571 data: 0.0055 max mem: 31630 Epoch: [24] [2090/5278] eta: 2:27:26 lr: 2.1430091793658442e-05 loss: 0.0512 (0.0590) loss_seg: 0.0508 (0.0585) loss_lansim: 0.0430 (0.0433) loss_contra: 0.0004 (0.0040) time: 2.7543 data: 0.0055 max mem: 31630 Epoch: [24] [2100/5278] eta: 2:26:59 lr: 2.1427749891972625e-05 loss: 0.0510 (0.0590) loss_seg: 0.0505 (0.0585) loss_lansim: 0.0429 (0.0433) loss_contra: 0.0004 (0.0041) time: 2.7608 data: 0.0055 max mem: 31630 Epoch: [24] [2110/5278] eta: 2:26:31 lr: 2.1425407961847205e-05 loss: 0.0513 (0.0590) loss_seg: 0.0509 (0.0585) loss_lansim: 0.0426 (0.0433) loss_contra: 0.0004 (0.0041) time: 2.7557 data: 0.0055 max mem: 31630 Epoch: [24] [2120/5278] eta: 2:26:04 lr: 2.1423066003278382e-05 loss: 0.0513 (0.0590) loss_seg: 0.0507 (0.0585) loss_lansim: 0.0426 (0.0433) loss_contra: 0.0004 (0.0041) time: 2.7670 data: 0.0055 max mem: 31630 Epoch: [24] [2130/5278] eta: 2:25:36 lr: 2.1420724016262364e-05 loss: 0.0512 (0.0590) loss_seg: 0.0507 (0.0585) loss_lansim: 0.0426 (0.0433) loss_contra: 0.0003 (0.0042) time: 2.7649 data: 0.0055 max mem: 31630 Epoch: [24] [2140/5278] eta: 2:25:09 lr: 2.1418382000795336e-05 loss: 0.0513 (0.0590) loss_seg: 0.0507 (0.0586) loss_lansim: 0.0425 (0.0433) loss_contra: 0.0003 (0.0042) time: 2.7725 data: 0.0055 max mem: 31630 Epoch: [24] [2150/5278] eta: 2:24:41 lr: 2.1416039956873503e-05 loss: 0.0513 (0.0590) loss_seg: 0.0507 (0.0586) loss_lansim: 0.0422 (0.0433) loss_contra: 0.0003 (0.0042) time: 2.7751 data: 0.0055 max mem: 31630 Epoch: [24] [2160/5278] eta: 2:24:13 lr: 2.1413697884493064e-05 loss: 0.0541 (0.0591) loss_seg: 0.0536 (0.0586) loss_lansim: 0.0421 (0.0433) loss_contra: 0.0003 (0.0042) time: 2.7735 data: 0.0056 max mem: 31630 Epoch: [24] [2170/5278] eta: 2:23:45 lr: 2.1411355783650214e-05 loss: 0.0524 (0.0591) loss_seg: 0.0519 (0.0586) loss_lansim: 0.0422 (0.0433) loss_contra: 0.0003 (0.0041) time: 2.7746 data: 0.0057 max mem: 31630 Epoch: [24] [2180/5278] eta: 2:23:17 lr: 2.140901365434114e-05 loss: 0.0532 (0.0590) loss_seg: 0.0528 (0.0586) loss_lansim: 0.0422 (0.0433) loss_contra: 0.0003 (0.0041) time: 2.7729 data: 0.0058 max mem: 31630 Epoch: [24] [2190/5278] eta: 2:22:49 lr: 2.140667149656204e-05 loss: 0.0542 (0.0591) loss_seg: 0.0537 (0.0586) loss_lansim: 0.0421 (0.0433) loss_contra: 0.0004 (0.0042) time: 2.7786 data: 0.0058 max mem: 31630 Epoch: [24] [2200/5278] eta: 2:22:22 lr: 2.140432931030911e-05 loss: 0.0557 (0.0591) loss_seg: 0.0552 (0.0586) loss_lansim: 0.0425 (0.0433) loss_contra: 0.0004 (0.0042) time: 2.7763 data: 0.0059 max mem: 31630 Epoch: [24] [2210/5278] eta: 2:21:55 lr: 2.1401987095578544e-05 loss: 0.0547 (0.0591) loss_seg: 0.0543 (0.0587) loss_lansim: 0.0422 (0.0433) loss_contra: 0.0004 (0.0042) time: 2.7835 data: 0.0060 max mem: 31630 Epoch: [24] [2220/5278] eta: 2:21:27 lr: 2.1399644852366522e-05 loss: 0.0555 (0.0591) loss_seg: 0.0550 (0.0587) loss_lansim: 0.0422 (0.0433) loss_contra: 0.0004 (0.0042) time: 2.7760 data: 0.0060 max mem: 31630 Epoch: [24] [2230/5278] eta: 2:20:59 lr: 2.139730258066924e-05 loss: 0.0557 (0.0592) loss_seg: 0.0552 (0.0587) loss_lansim: 0.0422 (0.0433) loss_contra: 0.0004 (0.0041) time: 2.7776 data: 0.0060 max mem: 31630 Epoch: [24] [2240/5278] eta: 2:20:30 lr: 2.1394960280482887e-05 loss: 0.0547 (0.0591) loss_seg: 0.0543 (0.0586) loss_lansim: 0.0420 (0.0432) loss_contra: 0.0004 (0.0042) time: 2.7693 data: 0.0060 max mem: 31630 Epoch: [24] [2250/5278] eta: 2:20:02 lr: 2.139261795180365e-05 loss: 0.0547 (0.0591) loss_seg: 0.0543 (0.0587) loss_lansim: 0.0424 (0.0433) loss_contra: 0.0004 (0.0041) time: 2.7684 data: 0.0060 max mem: 31630 Epoch: [24] [2260/5278] eta: 2:19:34 lr: 2.1390275594627726e-05 loss: 0.0547 (0.0593) loss_seg: 0.0543 (0.0588) loss_lansim: 0.0424 (0.0433) loss_contra: 0.0004 (0.0041) time: 2.7659 data: 0.0060 max mem: 31630 Epoch: [24] [2270/5278] eta: 2:19:06 lr: 2.1387933208951284e-05 loss: 0.0561 (0.0593) loss_seg: 0.0557 (0.0589) loss_lansim: 0.0424 (0.0433) loss_contra: 0.0005 (0.0041) time: 2.7648 data: 0.0059 max mem: 31630 Epoch: [24] [2280/5278] eta: 2:18:38 lr: 2.1385590794770516e-05 loss: 0.0564 (0.0594) loss_seg: 0.0560 (0.0589) loss_lansim: 0.0424 (0.0433) loss_contra: 0.0005 (0.0041) time: 2.7636 data: 0.0058 max mem: 31630 Epoch: [24] [2290/5278] eta: 2:18:10 lr: 2.1383248352081608e-05 loss: 0.0564 (0.0594) loss_seg: 0.0560 (0.0589) loss_lansim: 0.0427 (0.0433) loss_contra: 0.0006 (0.0041) time: 2.7576 data: 0.0058 max mem: 31630 Epoch: [24] [2300/5278] eta: 2:17:41 lr: 2.1380905880880747e-05 loss: 0.0561 (0.0594) loss_seg: 0.0556 (0.0589) loss_lansim: 0.0427 (0.0433) loss_contra: 0.0005 (0.0041) time: 2.7520 data: 0.0058 max mem: 31630 Epoch: [24] [2310/5278] eta: 2:17:13 lr: 2.1378563381164106e-05 loss: 0.0550 (0.0593) loss_seg: 0.0545 (0.0589) loss_lansim: 0.0429 (0.0433) loss_contra: 0.0004 (0.0041) time: 2.7419 data: 0.0058 max mem: 31630 Epoch: [24] [2320/5278] eta: 2:16:45 lr: 2.1376220852927868e-05 loss: 0.0540 (0.0593) loss_seg: 0.0536 (0.0588) loss_lansim: 0.0430 (0.0433) loss_contra: 0.0003 (0.0041) time: 2.7410 data: 0.0058 max mem: 31630 Epoch: [24] [2330/5278] eta: 2:16:17 lr: 2.1373878296168216e-05 loss: 0.0540 (0.0593) loss_seg: 0.0536 (0.0589) loss_lansim: 0.0432 (0.0433) loss_contra: 0.0003 (0.0041) time: 2.7383 data: 0.0058 max mem: 31630 Epoch: [24] [2340/5278] eta: 2:15:49 lr: 2.1371535710881328e-05 loss: 0.0550 (0.0593) loss_seg: 0.0545 (0.0588) loss_lansim: 0.0436 (0.0433) loss_contra: 0.0004 (0.0041) time: 2.7415 data: 0.0058 max mem: 31630 Epoch: [24] [2350/5278] eta: 2:15:21 lr: 2.1369193097063382e-05 loss: 0.0542 (0.0593) loss_seg: 0.0538 (0.0588) loss_lansim: 0.0432 (0.0433) loss_contra: 0.0004 (0.0041) time: 2.7428 data: 0.0057 max mem: 31630 Epoch: [24] [2360/5278] eta: 2:14:53 lr: 2.1366850454710556e-05 loss: 0.0539 (0.0593) loss_seg: 0.0535 (0.0588) loss_lansim: 0.0436 (0.0433) loss_contra: 0.0004 (0.0041) time: 2.7472 data: 0.0058 max mem: 31630 Epoch: [24] [2370/5278] eta: 2:14:25 lr: 2.1364507783819025e-05 loss: 0.0539 (0.0593) loss_seg: 0.0535 (0.0589) loss_lansim: 0.0436 (0.0433) loss_contra: 0.0003 (0.0041) time: 2.7481 data: 0.0058 max mem: 31630 Epoch: [24] [2380/5278] eta: 2:13:57 lr: 2.136216508438497e-05 loss: 0.0544 (0.0594) loss_seg: 0.0539 (0.0589) loss_lansim: 0.0436 (0.0433) loss_contra: 0.0003 (0.0041) time: 2.7492 data: 0.0058 max mem: 31630 Epoch: [24] [2390/5278] eta: 2:13:30 lr: 2.1359822356404554e-05 loss: 0.0539 (0.0594) loss_seg: 0.0535 (0.0589) loss_lansim: 0.0435 (0.0433) loss_contra: 0.0002 (0.0041) time: 2.7531 data: 0.0058 max mem: 31630 Epoch: [24] [2400/5278] eta: 2:13:02 lr: 2.1357479599873957e-05 loss: 0.0538 (0.0594) loss_seg: 0.0534 (0.0589) loss_lansim: 0.0435 (0.0433) loss_contra: 0.0002 (0.0041) time: 2.7593 data: 0.0058 max mem: 31630 Epoch: [24] [2410/5278] eta: 2:12:34 lr: 2.135513681478935e-05 loss: 0.0547 (0.0594) loss_seg: 0.0542 (0.0589) loss_lansim: 0.0438 (0.0433) loss_contra: 0.0002 (0.0040) time: 2.7657 data: 0.0058 max mem: 31630 Epoch: [24] [2420/5278] eta: 2:12:06 lr: 2.135279400114691e-05 loss: 0.0558 (0.0594) loss_seg: 0.0553 (0.0589) loss_lansim: 0.0438 (0.0433) loss_contra: 0.0002 (0.0040) time: 2.7647 data: 0.0058 max mem: 31630 Epoch: [24] [2430/5278] eta: 2:11:38 lr: 2.13504511589428e-05 loss: 0.0576 (0.0594) loss_seg: 0.0569 (0.0589) loss_lansim: 0.0438 (0.0433) loss_contra: 0.0002 (0.0040) time: 2.7671 data: 0.0058 max mem: 31630 Epoch: [24] [2440/5278] eta: 2:11:10 lr: 2.1348108288173187e-05 loss: 0.0557 (0.0594) loss_seg: 0.0552 (0.0589) loss_lansim: 0.0443 (0.0433) loss_contra: 0.0002 (0.0040) time: 2.7634 data: 0.0058 max mem: 31630 Epoch: [24] [2450/5278] eta: 2:10:43 lr: 2.1345765388834248e-05 loss: 0.0547 (0.0593) loss_seg: 0.0542 (0.0589) loss_lansim: 0.0445 (0.0433) loss_contra: 0.0002 (0.0040) time: 2.7671 data: 0.0059 max mem: 31630 Epoch: [24] [2460/5278] eta: 2:10:15 lr: 2.1343422460922146e-05 loss: 0.0557 (0.0593) loss_seg: 0.0552 (0.0589) loss_lansim: 0.0443 (0.0433) loss_contra: 0.0002 (0.0040) time: 2.7652 data: 0.0059 max mem: 31630 Epoch: [24] [2470/5278] eta: 2:09:47 lr: 2.1341079504433047e-05 loss: 0.0557 (0.0594) loss_seg: 0.0552 (0.0589) loss_lansim: 0.0443 (0.0433) loss_contra: 0.0002 (0.0040) time: 2.7637 data: 0.0059 max mem: 31630 Epoch: [24] [2480/5278] eta: 2:09:19 lr: 2.1338736519363115e-05 loss: 0.0545 (0.0593) loss_seg: 0.0540 (0.0589) loss_lansim: 0.0440 (0.0433) loss_contra: 0.0002 (0.0040) time: 2.7631 data: 0.0059 max mem: 31630 Epoch: [24] [2490/5278] eta: 2:08:50 lr: 2.1336393505708514e-05 loss: 0.0541 (0.0594) loss_seg: 0.0536 (0.0589) loss_lansim: 0.0438 (0.0433) loss_contra: 0.0002 (0.0040) time: 2.7584 data: 0.0060 max mem: 31630 Epoch: [24] [2500/5278] eta: 2:08:22 lr: 2.1334050463465417e-05 loss: 0.0541 (0.0594) loss_seg: 0.0536 (0.0589) loss_lansim: 0.0434 (0.0433) loss_contra: 0.0003 (0.0040) time: 2.7551 data: 0.0060 max mem: 31630 Epoch: [24] [2510/5278] eta: 2:07:54 lr: 2.133170739262998e-05 loss: 0.0541 (0.0594) loss_seg: 0.0536 (0.0589) loss_lansim: 0.0433 (0.0433) loss_contra: 0.0003 (0.0039) time: 2.7510 data: 0.0060 max mem: 31630 Epoch: [24] [2520/5278] eta: 2:07:26 lr: 2.1329364293198355e-05 loss: 0.0549 (0.0594) loss_seg: 0.0544 (0.0590) loss_lansim: 0.0430 (0.0433) loss_contra: 0.0003 (0.0039) time: 2.7506 data: 0.0060 max mem: 31630 Epoch: [24] [2530/5278] eta: 2:06:59 lr: 2.1327021165166717e-05 loss: 0.0538 (0.0594) loss_seg: 0.0533 (0.0589) loss_lansim: 0.0429 (0.0433) loss_contra: 0.0002 (0.0039) time: 2.7501 data: 0.0060 max mem: 31630 Epoch: [24] [2540/5278] eta: 2:06:30 lr: 2.1324678008531217e-05 loss: 0.0557 (0.0594) loss_seg: 0.0553 (0.0589) loss_lansim: 0.0431 (0.0433) loss_contra: 0.0002 (0.0039) time: 2.7503 data: 0.0060 max mem: 31630 Epoch: [24] [2550/5278] eta: 2:06:03 lr: 2.1322334823288022e-05 loss: 0.0561 (0.0594) loss_seg: 0.0556 (0.0589) loss_lansim: 0.0433 (0.0433) loss_contra: 0.0003 (0.0039) time: 2.7492 data: 0.0059 max mem: 31630 Epoch: [24] [2560/5278] eta: 2:05:35 lr: 2.1319991609433278e-05 loss: 0.0561 (0.0593) loss_seg: 0.0556 (0.0589) loss_lansim: 0.0431 (0.0433) loss_contra: 0.0002 (0.0039) time: 2.7492 data: 0.0059 max mem: 31630 Epoch: [24] [2570/5278] eta: 2:05:07 lr: 2.131764836696315e-05 loss: 0.0527 (0.0593) loss_seg: 0.0523 (0.0588) loss_lansim: 0.0430 (0.0433) loss_contra: 0.0002 (0.0039) time: 2.7483 data: 0.0059 max mem: 31630 Epoch: [24] [2580/5278] eta: 2:04:39 lr: 2.1315305095873785e-05 loss: 0.0527 (0.0593) loss_seg: 0.0523 (0.0588) loss_lansim: 0.0430 (0.0433) loss_contra: 0.0002 (0.0039) time: 2.7496 data: 0.0058 max mem: 31630 Epoch: [24] [2590/5278] eta: 2:04:11 lr: 2.1312961796161355e-05 loss: 0.0524 (0.0592) loss_seg: 0.0519 (0.0588) loss_lansim: 0.0429 (0.0433) loss_contra: 0.0003 (0.0039) time: 2.7512 data: 0.0057 max mem: 31630 Epoch: [24] [2600/5278] eta: 2:03:43 lr: 2.1310618467821994e-05 loss: 0.0518 (0.0592) loss_seg: 0.0513 (0.0587) loss_lansim: 0.0431 (0.0433) loss_contra: 0.0003 (0.0039) time: 2.7494 data: 0.0056 max mem: 31630 Epoch: [24] [2610/5278] eta: 2:03:15 lr: 2.1308275110851865e-05 loss: 0.0508 (0.0592) loss_seg: 0.0503 (0.0587) loss_lansim: 0.0433 (0.0433) loss_contra: 0.0002 (0.0039) time: 2.7508 data: 0.0056 max mem: 31630 Epoch: [24] [2620/5278] eta: 2:02:47 lr: 2.1305931725247113e-05 loss: 0.0507 (0.0592) loss_seg: 0.0503 (0.0587) loss_lansim: 0.0431 (0.0433) loss_contra: 0.0002 (0.0039) time: 2.7523 data: 0.0055 max mem: 31630 Epoch: [24] [2630/5278] eta: 2:02:19 lr: 2.13035883110039e-05 loss: 0.0507 (0.0592) loss_seg: 0.0503 (0.0587) loss_lansim: 0.0433 (0.0433) loss_contra: 0.0003 (0.0039) time: 2.7515 data: 0.0055 max mem: 31630 Epoch: [24] [2640/5278] eta: 2:01:51 lr: 2.1301244868118364e-05 loss: 0.0501 (0.0593) loss_seg: 0.0496 (0.0588) loss_lansim: 0.0430 (0.0433) loss_contra: 0.0003 (0.0039) time: 2.7566 data: 0.0056 max mem: 31630 Epoch: [24] [2650/5278] eta: 2:01:23 lr: 2.1298901396586657e-05 loss: 0.0501 (0.0593) loss_seg: 0.0496 (0.0588) loss_lansim: 0.0429 (0.0433) loss_contra: 0.0003 (0.0039) time: 2.7506 data: 0.0056 max mem: 31630 Epoch: [24] [2660/5278] eta: 2:00:56 lr: 2.1296557896404927e-05 loss: 0.0501 (0.0593) loss_seg: 0.0496 (0.0588) loss_lansim: 0.0429 (0.0433) loss_contra: 0.0003 (0.0039) time: 2.7523 data: 0.0056 max mem: 31630 Epoch: [24] [2670/5278] eta: 2:00:28 lr: 2.1294214367569333e-05 loss: 0.0514 (0.0593) loss_seg: 0.0510 (0.0588) loss_lansim: 0.0430 (0.0433) loss_contra: 0.0003 (0.0039) time: 2.7532 data: 0.0056 max mem: 31630 Epoch: [24] [2680/5278] eta: 2:00:00 lr: 2.1291870810076e-05 loss: 0.0519 (0.0592) loss_seg: 0.0514 (0.0588) loss_lansim: 0.0429 (0.0433) loss_contra: 0.0004 (0.0039) time: 2.7569 data: 0.0056 max mem: 31630 Epoch: [24] [2690/5278] eta: 1:59:32 lr: 2.1289527223921078e-05 loss: 0.0519 (0.0592) loss_seg: 0.0514 (0.0588) loss_lansim: 0.0428 (0.0433) loss_contra: 0.0003 (0.0039) time: 2.7535 data: 0.0056 max mem: 31630 Epoch: [24] [2700/5278] eta: 1:59:03 lr: 2.1287183609100717e-05 loss: 0.0519 (0.0592) loss_seg: 0.0514 (0.0587) loss_lansim: 0.0424 (0.0433) loss_contra: 0.0002 (0.0039) time: 2.7495 data: 0.0056 max mem: 31630 Epoch: [24] [2710/5278] eta: 1:58:35 lr: 2.1284839965611065e-05 loss: 0.0520 (0.0592) loss_seg: 0.0516 (0.0587) loss_lansim: 0.0420 (0.0433) loss_contra: 0.0003 (0.0039) time: 2.7433 data: 0.0056 max mem: 31630 Epoch: [24] [2720/5278] eta: 1:58:07 lr: 2.1282496293448246e-05 loss: 0.0526 (0.0592) loss_seg: 0.0522 (0.0587) loss_lansim: 0.0405 (0.0433) loss_contra: 0.0002 (0.0039) time: 2.7373 data: 0.0056 max mem: 31630 Epoch: [24] [2730/5278] eta: 1:57:38 lr: 2.1280152592608416e-05 loss: 0.0556 (0.0592) loss_seg: 0.0551 (0.0587) loss_lansim: 0.0397 (0.0432) loss_contra: 0.0002 (0.0039) time: 2.7338 data: 0.0056 max mem: 31630 Epoch: [24] [2740/5278] eta: 1:57:11 lr: 2.1277808863087705e-05 loss: 0.0556 (0.0592) loss_seg: 0.0551 (0.0588) loss_lansim: 0.0393 (0.0432) loss_contra: 0.0004 (0.0039) time: 2.7321 data: 0.0056 max mem: 31630 Epoch: [24] [2750/5278] eta: 1:56:43 lr: 2.127546510488226e-05 loss: 0.0521 (0.0592) loss_seg: 0.0516 (0.0587) loss_lansim: 0.0387 (0.0432) loss_contra: 0.0004 (0.0039) time: 2.7325 data: 0.0056 max mem: 31630 Epoch: [24] [2760/5278] eta: 1:56:15 lr: 2.1273121317988222e-05 loss: 0.0527 (0.0592) loss_seg: 0.0523 (0.0588) loss_lansim: 0.0383 (0.0432) loss_contra: 0.0004 (0.0039) time: 2.7310 data: 0.0056 max mem: 31630 Epoch: [24] [2770/5278] eta: 1:55:47 lr: 2.127077750240171e-05 loss: 0.0556 (0.0593) loss_seg: 0.0551 (0.0588) loss_lansim: 0.0378 (0.0432) loss_contra: 0.0004 (0.0038) time: 2.7286 data: 0.0056 max mem: 31630 Epoch: [24] [2780/5278] eta: 1:55:19 lr: 2.1268433658118872e-05 loss: 0.0549 (0.0593) loss_seg: 0.0544 (0.0588) loss_lansim: 0.0378 (0.0431) loss_contra: 0.0004 (0.0038) time: 2.7228 data: 0.0057 max mem: 31630 Epoch: [24] [2790/5278] eta: 1:54:51 lr: 2.126608978513584e-05 loss: 0.0567 (0.0594) loss_seg: 0.0562 (0.0589) loss_lansim: 0.0375 (0.0431) loss_contra: 0.0004 (0.0038) time: 2.7252 data: 0.0057 max mem: 31630 Epoch: [24] [2800/5278] eta: 1:54:23 lr: 2.1263745883448758e-05 loss: 0.0577 (0.0594) loss_seg: 0.0574 (0.0589) loss_lansim: 0.0377 (0.0431) loss_contra: 0.0004 (0.0038) time: 2.7289 data: 0.0057 max mem: 31630 Epoch: [24] [2810/5278] eta: 1:53:55 lr: 2.1261401953053746e-05 loss: 0.0579 (0.0594) loss_seg: 0.0575 (0.0589) loss_lansim: 0.0378 (0.0431) loss_contra: 0.0004 (0.0038) time: 2.7361 data: 0.0057 max mem: 31630 Epoch: [24] [2820/5278] eta: 1:53:27 lr: 2.1259057993946936e-05 loss: 0.0577 (0.0594) loss_seg: 0.0570 (0.0589) loss_lansim: 0.0378 (0.0431) loss_contra: 0.0004 (0.0038) time: 2.7410 data: 0.0057 max mem: 31630 Epoch: [24] [2830/5278] eta: 1:52:59 lr: 2.1256714006124462e-05 loss: 0.0579 (0.0595) loss_seg: 0.0575 (0.0590) loss_lansim: 0.0378 (0.0431) loss_contra: 0.0003 (0.0038) time: 2.7429 data: 0.0057 max mem: 31630 Epoch: [24] [2840/5278] eta: 1:52:31 lr: 2.125436998958246e-05 loss: 0.0580 (0.0594) loss_seg: 0.0576 (0.0590) loss_lansim: 0.0378 (0.0431) loss_contra: 0.0003 (0.0038) time: 2.7384 data: 0.0056 max mem: 31630 Epoch: [24] [2850/5278] eta: 1:52:03 lr: 2.1252025944317047e-05 loss: 0.0580 (0.0594) loss_seg: 0.0576 (0.0590) loss_lansim: 0.0381 (0.0431) loss_contra: 0.0002 (0.0038) time: 2.7370 data: 0.0056 max mem: 31630 Epoch: [24] [2860/5278] eta: 1:51:34 lr: 2.124968187032436e-05 loss: 0.0577 (0.0594) loss_seg: 0.0570 (0.0589) loss_lansim: 0.0381 (0.0430) loss_contra: 0.0002 (0.0038) time: 2.7299 data: 0.0056 max mem: 31630 Epoch: [24] [2870/5278] eta: 1:51:06 lr: 2.124733776760052e-05 loss: 0.0577 (0.0594) loss_seg: 0.0570 (0.0590) loss_lansim: 0.0383 (0.0430) loss_contra: 0.0002 (0.0038) time: 2.7232 data: 0.0055 max mem: 31630 Epoch: [24] [2880/5278] eta: 1:50:37 lr: 2.124499363614166e-05 loss: 0.0580 (0.0594) loss_seg: 0.0576 (0.0589) loss_lansim: 0.0381 (0.0430) loss_contra: 0.0002 (0.0038) time: 2.7200 data: 0.0055 max mem: 31630 Epoch: [24] [2890/5278] eta: 1:50:09 lr: 2.1242649475943896e-05 loss: 0.0565 (0.0594) loss_seg: 0.0560 (0.0589) loss_lansim: 0.0384 (0.0430) loss_contra: 0.0003 (0.0038) time: 2.7160 data: 0.0055 max mem: 31630 Epoch: [24] [2900/5278] eta: 1:49:41 lr: 2.1240305287003356e-05 loss: 0.0552 (0.0594) loss_seg: 0.0548 (0.0589) loss_lansim: 0.0385 (0.0430) loss_contra: 0.0003 (0.0038) time: 2.7121 data: 0.0055 max mem: 31630 Epoch: [24] [2910/5278] eta: 1:49:13 lr: 2.1237961069316164e-05 loss: 0.0546 (0.0594) loss_seg: 0.0543 (0.0589) loss_lansim: 0.0384 (0.0430) loss_contra: 0.0003 (0.0038) time: 2.7077 data: 0.0055 max mem: 31630 Epoch: [24] [2920/5278] eta: 1:48:45 lr: 2.1235616822878445e-05 loss: 0.0542 (0.0594) loss_seg: 0.0538 (0.0589) loss_lansim: 0.0383 (0.0430) loss_contra: 0.0003 (0.0038) time: 2.7061 data: 0.0055 max mem: 31630 Epoch: [24] [2930/5278] eta: 1:48:17 lr: 2.1233272547686312e-05 loss: 0.0540 (0.0594) loss_seg: 0.0535 (0.0589) loss_lansim: 0.0387 (0.0429) loss_contra: 0.0004 (0.0038) time: 2.7089 data: 0.0055 max mem: 31630 Epoch: [24] [2940/5278] eta: 1:47:49 lr: 2.1230928243735886e-05 loss: 0.0538 (0.0594) loss_seg: 0.0535 (0.0589) loss_lansim: 0.0387 (0.0429) loss_contra: 0.0004 (0.0038) time: 2.7102 data: 0.0055 max mem: 31630 Epoch: [24] [2950/5278] eta: 1:47:22 lr: 2.122858391102329e-05 loss: 0.0542 (0.0594) loss_seg: 0.0538 (0.0589) loss_lansim: 0.0383 (0.0429) loss_contra: 0.0004 (0.0038) time: 2.7171 data: 0.0055 max mem: 31630 Epoch: [24] [2960/5278] eta: 1:46:54 lr: 2.1226239549544643e-05 loss: 0.0543 (0.0593) loss_seg: 0.0539 (0.0589) loss_lansim: 0.0382 (0.0429) loss_contra: 0.0004 (0.0038) time: 2.7241 data: 0.0055 max mem: 31630 Epoch: [24] [2970/5278] eta: 1:46:26 lr: 2.1223895159296057e-05 loss: 0.0538 (0.0593) loss_seg: 0.0534 (0.0589) loss_lansim: 0.0377 (0.0429) loss_contra: 0.0004 (0.0037) time: 2.7374 data: 0.0055 max mem: 31630 Epoch: [24] [2980/5278] eta: 1:45:58 lr: 2.122155074027365e-05 loss: 0.0528 (0.0593) loss_seg: 0.0524 (0.0589) loss_lansim: 0.0377 (0.0429) loss_contra: 0.0004 (0.0037) time: 2.7401 data: 0.0056 max mem: 31630 Epoch: [24] [2990/5278] eta: 1:45:31 lr: 2.1219206292473533e-05 loss: 0.0528 (0.0593) loss_seg: 0.0524 (0.0589) loss_lansim: 0.0376 (0.0428) loss_contra: 0.0004 (0.0037) time: 2.7462 data: 0.0055 max mem: 31630 Epoch: [24] [3000/5278] eta: 1:45:03 lr: 2.121686181589182e-05 loss: 0.0517 (0.0593) loss_seg: 0.0513 (0.0589) loss_lansim: 0.0376 (0.0428) loss_contra: 0.0004 (0.0037) time: 2.7522 data: 0.0056 max mem: 31630 Epoch: [24] [3010/5278] eta: 1:44:35 lr: 2.121451731052464e-05 loss: 0.0519 (0.0594) loss_seg: 0.0515 (0.0589) loss_lansim: 0.0370 (0.0428) loss_contra: 0.0004 (0.0037) time: 2.7514 data: 0.0056 max mem: 31630 Epoch: [24] [3020/5278] eta: 1:44:07 lr: 2.1212172776368082e-05 loss: 0.0517 (0.0594) loss_seg: 0.0513 (0.0589) loss_lansim: 0.0370 (0.0428) loss_contra: 0.0004 (0.0037) time: 2.7495 data: 0.0056 max mem: 31630 Epoch: [24] [3030/5278] eta: 1:43:39 lr: 2.120982821341827e-05 loss: 0.0509 (0.0593) loss_seg: 0.0503 (0.0589) loss_lansim: 0.0373 (0.0428) loss_contra: 0.0004 (0.0037) time: 2.7431 data: 0.0056 max mem: 31630 Epoch: [24] [3040/5278] eta: 1:43:11 lr: 2.120748362167131e-05 loss: 0.0505 (0.0593) loss_seg: 0.0500 (0.0588) loss_lansim: 0.0375 (0.0428) loss_contra: 0.0004 (0.0037) time: 2.7463 data: 0.0056 max mem: 31630 Epoch: [24] [3050/5278] eta: 1:42:43 lr: 2.1205139001123313e-05 loss: 0.0503 (0.0593) loss_seg: 0.0499 (0.0588) loss_lansim: 0.0378 (0.0428) loss_contra: 0.0004 (0.0037) time: 2.7418 data: 0.0056 max mem: 31630 Epoch: [24] [3060/5278] eta: 1:42:15 lr: 2.1202794351770384e-05 loss: 0.0504 (0.0593) loss_seg: 0.0500 (0.0588) loss_lansim: 0.0378 (0.0428) loss_contra: 0.0004 (0.0037) time: 2.7437 data: 0.0057 max mem: 31630 Epoch: [24] [3070/5278] eta: 1:41:48 lr: 2.120044967360863e-05 loss: 0.0503 (0.0593) loss_seg: 0.0499 (0.0588) loss_lansim: 0.0380 (0.0427) loss_contra: 0.0004 (0.0037) time: 2.7372 data: 0.0057 max mem: 31630 Epoch: [24] [3080/5278] eta: 1:41:20 lr: 2.1198104966634156e-05 loss: 0.0497 (0.0593) loss_seg: 0.0493 (0.0588) loss_lansim: 0.0383 (0.0427) loss_contra: 0.0004 (0.0037) time: 2.7418 data: 0.0057 max mem: 31630 Epoch: [24] [3090/5278] eta: 1:40:52 lr: 2.1195760230843077e-05 loss: 0.0497 (0.0593) loss_seg: 0.0493 (0.0588) loss_lansim: 0.0385 (0.0427) loss_contra: 0.0004 (0.0037) time: 2.7411 data: 0.0057 max mem: 31630 Epoch: [24] [3100/5278] eta: 1:40:25 lr: 2.1193415466231478e-05 loss: 0.0504 (0.0593) loss_seg: 0.0500 (0.0588) loss_lansim: 0.0386 (0.0427) loss_contra: 0.0004 (0.0037) time: 2.7427 data: 0.0057 max mem: 31630 Epoch: [24] [3110/5278] eta: 1:39:57 lr: 2.1191070672795477e-05 loss: 0.0504 (0.0593) loss_seg: 0.0500 (0.0588) loss_lansim: 0.0387 (0.0427) loss_contra: 0.0003 (0.0037) time: 2.7472 data: 0.0057 max mem: 31630 Epoch: [24] [3120/5278] eta: 1:39:29 lr: 2.1188725850531167e-05 loss: 0.0496 (0.0592) loss_seg: 0.0492 (0.0588) loss_lansim: 0.0387 (0.0427) loss_contra: 0.0003 (0.0036) time: 2.7535 data: 0.0058 max mem: 31630 Epoch: [24] [3130/5278] eta: 1:39:02 lr: 2.118638099943466e-05 loss: 0.0494 (0.0592) loss_seg: 0.0489 (0.0587) loss_lansim: 0.0386 (0.0427) loss_contra: 0.0003 (0.0036) time: 2.7634 data: 0.0058 max mem: 31630 Epoch: [24] [3140/5278] eta: 1:38:34 lr: 2.1184036119502042e-05 loss: 0.0527 (0.0593) loss_seg: 0.0523 (0.0588) loss_lansim: 0.0384 (0.0427) loss_contra: 0.0002 (0.0036) time: 2.7632 data: 0.0058 max mem: 31630 Epoch: [24] [3150/5278] eta: 1:38:07 lr: 2.1181691210729417e-05 loss: 0.0533 (0.0593) loss_seg: 0.0530 (0.0588) loss_lansim: 0.0383 (0.0426) loss_contra: 0.0003 (0.0036) time: 2.7697 data: 0.0058 max mem: 31630 Epoch: [24] [3160/5278] eta: 1:37:39 lr: 2.1179346273112887e-05 loss: 0.0533 (0.0593) loss_seg: 0.0530 (0.0589) loss_lansim: 0.0381 (0.0426) loss_contra: 0.0003 (0.0036) time: 2.7700 data: 0.0059 max mem: 31630 Epoch: [24] [3170/5278] eta: 1:37:11 lr: 2.117700130664855e-05 loss: 0.0535 (0.0593) loss_seg: 0.0531 (0.0588) loss_lansim: 0.0380 (0.0426) loss_contra: 0.0002 (0.0036) time: 2.7746 data: 0.0059 max mem: 31630 Epoch: [24] [3180/5278] eta: 1:36:44 lr: 2.117465631133249e-05 loss: 0.0528 (0.0593) loss_seg: 0.0523 (0.0588) loss_lansim: 0.0372 (0.0426) loss_contra: 0.0002 (0.0036) time: 2.7742 data: 0.0059 max mem: 31630 Epoch: [24] [3190/5278] eta: 1:36:16 lr: 2.1172311287160812e-05 loss: 0.0514 (0.0592) loss_seg: 0.0511 (0.0587) loss_lansim: 0.0373 (0.0426) loss_contra: 0.0003 (0.0036) time: 2.7726 data: 0.0059 max mem: 31630 Epoch: [24] [3200/5278] eta: 1:35:48 lr: 2.1169966234129606e-05 loss: 0.0505 (0.0592) loss_seg: 0.0502 (0.0587) loss_lansim: 0.0373 (0.0425) loss_contra: 0.0003 (0.0036) time: 2.7745 data: 0.0059 max mem: 31630 Epoch: [24] [3210/5278] eta: 1:35:21 lr: 2.116762115223497e-05 loss: 0.0487 (0.0592) loss_seg: 0.0484 (0.0587) loss_lansim: 0.0373 (0.0425) loss_contra: 0.0003 (0.0036) time: 2.7730 data: 0.0059 max mem: 31630 Epoch: [24] [3220/5278] eta: 1:34:53 lr: 2.1165276041472986e-05 loss: 0.0505 (0.0591) loss_seg: 0.0502 (0.0587) loss_lansim: 0.0374 (0.0425) loss_contra: 0.0003 (0.0036) time: 2.7744 data: 0.0059 max mem: 31630 Epoch: [24] [3230/5278] eta: 1:34:25 lr: 2.116293090183975e-05 loss: 0.0496 (0.0591) loss_seg: 0.0493 (0.0586) loss_lansim: 0.0374 (0.0425) loss_contra: 0.0003 (0.0036) time: 2.7695 data: 0.0059 max mem: 31630 Epoch: [24] [3240/5278] eta: 1:33:58 lr: 2.1160585733331352e-05 loss: 0.0469 (0.0590) loss_seg: 0.0465 (0.0586) loss_lansim: 0.0366 (0.0425) loss_contra: 0.0004 (0.0036) time: 2.7709 data: 0.0060 max mem: 31630 Epoch: [24] [3250/5278] eta: 1:33:30 lr: 2.1158240535943878e-05 loss: 0.0469 (0.0591) loss_seg: 0.0465 (0.0586) loss_lansim: 0.0366 (0.0425) loss_contra: 0.0003 (0.0036) time: 2.7684 data: 0.0060 max mem: 31630 Epoch: [24] [3260/5278] eta: 1:33:02 lr: 2.1155895309673424e-05 loss: 0.0455 (0.0591) loss_seg: 0.0452 (0.0586) loss_lansim: 0.0365 (0.0424) loss_contra: 0.0002 (0.0036) time: 2.7658 data: 0.0060 max mem: 31630 Epoch: [24] [3270/5278] eta: 1:32:35 lr: 2.1153550054516064e-05 loss: 0.0460 (0.0591) loss_seg: 0.0456 (0.0586) loss_lansim: 0.0366 (0.0424) loss_contra: 0.0004 (0.0036) time: 2.7684 data: 0.0060 max mem: 31630 Epoch: [24] [3280/5278] eta: 1:32:07 lr: 2.115120477046789e-05 loss: 0.0463 (0.0591) loss_seg: 0.0459 (0.0586) loss_lansim: 0.0369 (0.0424) loss_contra: 0.0003 (0.0036) time: 2.7669 data: 0.0059 max mem: 31630 Epoch: [24] [3290/5278] eta: 1:31:40 lr: 2.114885945752499e-05 loss: 0.0493 (0.0591) loss_seg: 0.0489 (0.0586) loss_lansim: 0.0373 (0.0424) loss_contra: 0.0002 (0.0036) time: 2.7722 data: 0.0059 max mem: 31630 Epoch: [24] [3300/5278] eta: 1:31:12 lr: 2.1146514115683447e-05 loss: 0.0525 (0.0591) loss_seg: 0.0522 (0.0586) loss_lansim: 0.0375 (0.0424) loss_contra: 0.0002 (0.0036) time: 2.7710 data: 0.0059 max mem: 31630 Epoch: [24] [3310/5278] eta: 1:30:44 lr: 2.1144168744939337e-05 loss: 0.0524 (0.0590) loss_seg: 0.0519 (0.0586) loss_lansim: 0.0373 (0.0424) loss_contra: 0.0002 (0.0036) time: 2.7720 data: 0.0058 max mem: 31630 Epoch: [24] [3320/5278] eta: 1:30:17 lr: 2.1141823345288743e-05 loss: 0.0524 (0.0590) loss_seg: 0.0519 (0.0586) loss_lansim: 0.0369 (0.0424) loss_contra: 0.0002 (0.0036) time: 2.7704 data: 0.0058 max mem: 31630 Epoch: [24] [3330/5278] eta: 1:29:49 lr: 2.113947791672775e-05 loss: 0.0525 (0.0590) loss_seg: 0.0522 (0.0585) loss_lansim: 0.0370 (0.0423) loss_contra: 0.0002 (0.0036) time: 2.7692 data: 0.0058 max mem: 31630 Epoch: [24] [3340/5278] eta: 1:29:21 lr: 2.113713245925244e-05 loss: 0.0524 (0.0590) loss_seg: 0.0519 (0.0585) loss_lansim: 0.0370 (0.0423) loss_contra: 0.0002 (0.0036) time: 2.7723 data: 0.0058 max mem: 31630 Epoch: [24] [3350/5278] eta: 1:28:54 lr: 2.113478697285888e-05 loss: 0.0493 (0.0590) loss_seg: 0.0489 (0.0585) loss_lansim: 0.0369 (0.0423) loss_contra: 0.0002 (0.0036) time: 2.7689 data: 0.0058 max mem: 31630 Epoch: [24] [3360/5278] eta: 1:28:26 lr: 2.1132441457543156e-05 loss: 0.0493 (0.0589) loss_seg: 0.0489 (0.0585) loss_lansim: 0.0366 (0.0423) loss_contra: 0.0002 (0.0036) time: 2.7715 data: 0.0058 max mem: 31630 Epoch: [24] [3370/5278] eta: 1:27:58 lr: 2.113009591330134e-05 loss: 0.0482 (0.0589) loss_seg: 0.0478 (0.0585) loss_lansim: 0.0369 (0.0423) loss_contra: 0.0002 (0.0036) time: 2.7678 data: 0.0058 max mem: 31630 Epoch: [24] [3380/5278] eta: 1:27:31 lr: 2.112775034012952e-05 loss: 0.0490 (0.0589) loss_seg: 0.0486 (0.0584) loss_lansim: 0.0370 (0.0423) loss_contra: 0.0002 (0.0036) time: 2.7704 data: 0.0059 max mem: 31630 Epoch: [24] [3390/5278] eta: 1:27:03 lr: 2.1125404738023754e-05 loss: 0.0482 (0.0589) loss_seg: 0.0478 (0.0584) loss_lansim: 0.0366 (0.0422) loss_contra: 0.0002 (0.0036) time: 2.7683 data: 0.0060 max mem: 31630 Epoch: [24] [3400/5278] eta: 1:26:35 lr: 2.112305910698012e-05 loss: 0.0467 (0.0588) loss_seg: 0.0464 (0.0584) loss_lansim: 0.0366 (0.0422) loss_contra: 0.0002 (0.0036) time: 2.7660 data: 0.0061 max mem: 31630 Epoch: [24] [3410/5278] eta: 1:26:08 lr: 2.1120713446994697e-05 loss: 0.0473 (0.0588) loss_seg: 0.0469 (0.0584) loss_lansim: 0.0363 (0.0422) loss_contra: 0.0002 (0.0036) time: 2.7712 data: 0.0061 max mem: 31630 Epoch: [24] [3420/5278] eta: 1:25:40 lr: 2.1118367758063555e-05 loss: 0.0457 (0.0588) loss_seg: 0.0453 (0.0584) loss_lansim: 0.0360 (0.0422) loss_contra: 0.0002 (0.0036) time: 2.7700 data: 0.0062 max mem: 31630 Epoch: [24] [3430/5278] eta: 1:25:13 lr: 2.1116022040182758e-05 loss: 0.0468 (0.0588) loss_seg: 0.0464 (0.0584) loss_lansim: 0.0360 (0.0422) loss_contra: 0.0002 (0.0036) time: 2.7753 data: 0.0062 max mem: 31630 Epoch: [24] [3440/5278] eta: 1:24:45 lr: 2.111367629334838e-05 loss: 0.0457 (0.0588) loss_seg: 0.0453 (0.0583) loss_lansim: 0.0368 (0.0422) loss_contra: 0.0003 (0.0036) time: 2.7723 data: 0.0061 max mem: 31630 Epoch: [24] [3450/5278] eta: 1:24:17 lr: 2.111133051755648e-05 loss: 0.0469 (0.0588) loss_seg: 0.0465 (0.0583) loss_lansim: 0.0368 (0.0422) loss_contra: 0.0002 (0.0036) time: 2.7727 data: 0.0061 max mem: 31630 Epoch: [24] [3460/5278] eta: 1:23:50 lr: 2.110898471280315e-05 loss: 0.0497 (0.0588) loss_seg: 0.0493 (0.0584) loss_lansim: 0.0370 (0.0421) loss_contra: 0.0002 (0.0036) time: 2.7707 data: 0.0061 max mem: 31630 Epoch: [24] [3470/5278] eta: 1:23:22 lr: 2.1106638879084426e-05 loss: 0.0512 (0.0588) loss_seg: 0.0508 (0.0584) loss_lansim: 0.0370 (0.0421) loss_contra: 0.0003 (0.0036) time: 2.7721 data: 0.0060 max mem: 31630 Epoch: [24] [3480/5278] eta: 1:22:54 lr: 2.110429301639639e-05 loss: 0.0509 (0.0588) loss_seg: 0.0505 (0.0584) loss_lansim: 0.0370 (0.0421) loss_contra: 0.0003 (0.0036) time: 2.7671 data: 0.0059 max mem: 31630 Epoch: [24] [3490/5278] eta: 1:22:26 lr: 2.1101947124735106e-05 loss: 0.0497 (0.0588) loss_seg: 0.0493 (0.0584) loss_lansim: 0.0373 (0.0421) loss_contra: 0.0003 (0.0036) time: 2.7669 data: 0.0059 max mem: 31630 Epoch: [24] [3500/5278] eta: 1:21:59 lr: 2.109960120409663e-05 loss: 0.0512 (0.0588) loss_seg: 0.0508 (0.0583) loss_lansim: 0.0378 (0.0421) loss_contra: 0.0003 (0.0036) time: 2.7677 data: 0.0059 max mem: 31630 Epoch: [24] [3510/5278] eta: 1:21:31 lr: 2.1097255254477035e-05 loss: 0.0521 (0.0588) loss_seg: 0.0517 (0.0583) loss_lansim: 0.0383 (0.0421) loss_contra: 0.0003 (0.0035) time: 2.7623 data: 0.0058 max mem: 31630 Epoch: [24] [3520/5278] eta: 1:21:03 lr: 2.1094909275872375e-05 loss: 0.0534 (0.0588) loss_seg: 0.0530 (0.0583) loss_lansim: 0.0383 (0.0421) loss_contra: 0.0003 (0.0036) time: 2.7662 data: 0.0058 max mem: 31630 Epoch: [24] [3530/5278] eta: 1:20:36 lr: 2.109256326827871e-05 loss: 0.0522 (0.0588) loss_seg: 0.0519 (0.0583) loss_lansim: 0.0389 (0.0421) loss_contra: 0.0003 (0.0036) time: 2.7618 data: 0.0058 max mem: 31630 Epoch: [24] [3540/5278] eta: 1:20:08 lr: 2.1090217231692097e-05 loss: 0.0542 (0.0588) loss_seg: 0.0538 (0.0583) loss_lansim: 0.0390 (0.0421) loss_contra: 0.0003 (0.0036) time: 2.7649 data: 0.0058 max mem: 31630 Epoch: [24] [3550/5278] eta: 1:19:40 lr: 2.1087871166108605e-05 loss: 0.0533 (0.0588) loss_seg: 0.0529 (0.0583) loss_lansim: 0.0395 (0.0421) loss_contra: 0.0003 (0.0036) time: 2.7637 data: 0.0059 max mem: 31630 Epoch: [24] [3560/5278] eta: 1:19:13 lr: 2.1085525071524277e-05 loss: 0.0542 (0.0588) loss_seg: 0.0538 (0.0584) loss_lansim: 0.0401 (0.0421) loss_contra: 0.0003 (0.0036) time: 2.7655 data: 0.0059 max mem: 31630 Epoch: [24] [3570/5278] eta: 1:18:45 lr: 2.108317894793518e-05 loss: 0.0543 (0.0588) loss_seg: 0.0538 (0.0584) loss_lansim: 0.0404 (0.0421) loss_contra: 0.0003 (0.0036) time: 2.7629 data: 0.0059 max mem: 31630 Epoch: [24] [3580/5278] eta: 1:18:17 lr: 2.1080832795337358e-05 loss: 0.0551 (0.0589) loss_seg: 0.0546 (0.0584) loss_lansim: 0.0404 (0.0421) loss_contra: 0.0003 (0.0036) time: 2.7681 data: 0.0059 max mem: 31630 Epoch: [24] [3590/5278] eta: 1:17:50 lr: 2.107848661372688e-05 loss: 0.0557 (0.0590) loss_seg: 0.0553 (0.0585) loss_lansim: 0.0404 (0.0421) loss_contra: 0.0003 (0.0036) time: 2.7651 data: 0.0058 max mem: 31630 Epoch: [24] [3600/5278] eta: 1:17:22 lr: 2.107614040309979e-05 loss: 0.0603 (0.0590) loss_seg: 0.0599 (0.0586) loss_lansim: 0.0405 (0.0421) loss_contra: 0.0003 (0.0036) time: 2.7681 data: 0.0058 max mem: 31630 Epoch: [24] [3610/5278] eta: 1:16:54 lr: 2.1073794163452136e-05 loss: 0.0614 (0.0590) loss_seg: 0.0610 (0.0586) loss_lansim: 0.0406 (0.0421) loss_contra: 0.0003 (0.0036) time: 2.7669 data: 0.0057 max mem: 31630 Epoch: [24] [3620/5278] eta: 1:16:27 lr: 2.1071447894779976e-05 loss: 0.0610 (0.0591) loss_seg: 0.0606 (0.0586) loss_lansim: 0.0411 (0.0421) loss_contra: 0.0003 (0.0036) time: 2.7651 data: 0.0056 max mem: 31630 Epoch: [24] [3630/5278] eta: 1:15:59 lr: 2.106910159707936e-05 loss: 0.0614 (0.0590) loss_seg: 0.0610 (0.0586) loss_lansim: 0.0406 (0.0421) loss_contra: 0.0003 (0.0036) time: 2.7671 data: 0.0056 max mem: 31630 Epoch: [24] [3640/5278] eta: 1:15:32 lr: 2.1066755270346333e-05 loss: 0.0624 (0.0591) loss_seg: 0.0620 (0.0586) loss_lansim: 0.0411 (0.0421) loss_contra: 0.0003 (0.0036) time: 2.7656 data: 0.0056 max mem: 31630 Epoch: [24] [3650/5278] eta: 1:15:04 lr: 2.106440891457694e-05 loss: 0.0618 (0.0591) loss_seg: 0.0614 (0.0586) loss_lansim: 0.0404 (0.0421) loss_contra: 0.0003 (0.0036) time: 2.7693 data: 0.0055 max mem: 31630 Epoch: [24] [3660/5278] eta: 1:14:36 lr: 2.106206252976724e-05 loss: 0.0603 (0.0590) loss_seg: 0.0599 (0.0586) loss_lansim: 0.0405 (0.0421) loss_contra: 0.0003 (0.0036) time: 2.7665 data: 0.0055 max mem: 31630 Epoch: [24] [3670/5278] eta: 1:14:09 lr: 2.105971611591327e-05 loss: 0.0584 (0.0590) loss_seg: 0.0581 (0.0586) loss_lansim: 0.0405 (0.0421) loss_contra: 0.0003 (0.0036) time: 2.7720 data: 0.0055 max mem: 31630 Epoch: [24] [3680/5278] eta: 1:13:41 lr: 2.1057369673011073e-05 loss: 0.0569 (0.0590) loss_seg: 0.0566 (0.0585) loss_lansim: 0.0405 (0.0421) loss_contra: 0.0002 (0.0035) time: 2.7702 data: 0.0055 max mem: 31630 Epoch: [24] [3690/5278] eta: 1:13:13 lr: 2.1055023201056694e-05 loss: 0.0552 (0.0590) loss_seg: 0.0548 (0.0586) loss_lansim: 0.0412 (0.0421) loss_contra: 0.0002 (0.0035) time: 2.7744 data: 0.0055 max mem: 31630 Epoch: [24] [3700/5278] eta: 1:12:46 lr: 2.1052676700046182e-05 loss: 0.0537 (0.0590) loss_seg: 0.0533 (0.0586) loss_lansim: 0.0412 (0.0421) loss_contra: 0.0002 (0.0035) time: 2.7707 data: 0.0055 max mem: 31630 Epoch: [24] [3710/5278] eta: 1:12:18 lr: 2.1050330169975578e-05 loss: 0.0522 (0.0590) loss_seg: 0.0518 (0.0585) loss_lansim: 0.0409 (0.0421) loss_contra: 0.0002 (0.0035) time: 2.7766 data: 0.0055 max mem: 31630 Epoch: [24] [3720/5278] eta: 1:11:50 lr: 2.1047983610840913e-05 loss: 0.0507 (0.0590) loss_seg: 0.0502 (0.0585) loss_lansim: 0.0402 (0.0420) loss_contra: 0.0002 (0.0035) time: 2.7727 data: 0.0055 max mem: 31630 Epoch: [24] [3730/5278] eta: 1:11:23 lr: 2.104563702263823e-05 loss: 0.0517 (0.0590) loss_seg: 0.0514 (0.0585) loss_lansim: 0.0405 (0.0420) loss_contra: 0.0002 (0.0035) time: 2.7735 data: 0.0055 max mem: 31630 Epoch: [24] [3740/5278] eta: 1:10:55 lr: 2.1043290405363573e-05 loss: 0.0507 (0.0590) loss_seg: 0.0502 (0.0585) loss_lansim: 0.0399 (0.0420) loss_contra: 0.0002 (0.0035) time: 2.7682 data: 0.0055 max mem: 31630 Epoch: [24] [3750/5278] eta: 1:10:27 lr: 2.1040943759012978e-05 loss: 0.0505 (0.0590) loss_seg: 0.0501 (0.0585) loss_lansim: 0.0397 (0.0420) loss_contra: 0.0002 (0.0035) time: 2.7709 data: 0.0055 max mem: 31630 Epoch: [24] [3760/5278] eta: 1:10:00 lr: 2.1038597083582484e-05 loss: 0.0499 (0.0589) loss_seg: 0.0493 (0.0585) loss_lansim: 0.0396 (0.0420) loss_contra: 0.0002 (0.0035) time: 2.7745 data: 0.0055 max mem: 31630 Epoch: [24] [3770/5278] eta: 1:09:32 lr: 2.103625037906812e-05 loss: 0.0503 (0.0589) loss_seg: 0.0498 (0.0585) loss_lansim: 0.0394 (0.0420) loss_contra: 0.0002 (0.0035) time: 2.7707 data: 0.0055 max mem: 31630 Epoch: [24] [3780/5278] eta: 1:09:04 lr: 2.103390364546592e-05 loss: 0.0505 (0.0589) loss_seg: 0.0501 (0.0585) loss_lansim: 0.0394 (0.0420) loss_contra: 0.0002 (0.0035) time: 2.7691 data: 0.0055 max mem: 31630 Epoch: [24] [3790/5278] eta: 1:08:37 lr: 2.103155688277192e-05 loss: 0.0512 (0.0589) loss_seg: 0.0505 (0.0585) loss_lansim: 0.0391 (0.0420) loss_contra: 0.0002 (0.0035) time: 2.7693 data: 0.0056 max mem: 31630 Epoch: [24] [3800/5278] eta: 1:08:09 lr: 2.1029210090982163e-05 loss: 0.0515 (0.0589) loss_seg: 0.0512 (0.0585) loss_lansim: 0.0391 (0.0420) loss_contra: 0.0002 (0.0035) time: 2.7718 data: 0.0055 max mem: 31630 Epoch: [24] [3810/5278] eta: 1:07:41 lr: 2.1026863270092663e-05 loss: 0.0518 (0.0589) loss_seg: 0.0513 (0.0585) loss_lansim: 0.0394 (0.0420) loss_contra: 0.0002 (0.0035) time: 2.7674 data: 0.0056 max mem: 31630 Epoch: [24] [3820/5278] eta: 1:07:14 lr: 2.1024516420099457e-05 loss: 0.0519 (0.0589) loss_seg: 0.0515 (0.0585) loss_lansim: 0.0400 (0.0420) loss_contra: 0.0002 (0.0035) time: 2.7729 data: 0.0057 max mem: 31630 Epoch: [24] [3830/5278] eta: 1:06:46 lr: 2.102216954099858e-05 loss: 0.0518 (0.0589) loss_seg: 0.0513 (0.0585) loss_lansim: 0.0403 (0.0420) loss_contra: 0.0002 (0.0035) time: 2.7690 data: 0.0057 max mem: 31630 Epoch: [24] [3840/5278] eta: 1:06:18 lr: 2.1019822632786058e-05 loss: 0.0521 (0.0589) loss_seg: 0.0516 (0.0585) loss_lansim: 0.0405 (0.0420) loss_contra: 0.0002 (0.0035) time: 2.7727 data: 0.0057 max mem: 31630 Epoch: [24] [3850/5278] eta: 1:05:51 lr: 2.1017475695457907e-05 loss: 0.0536 (0.0589) loss_seg: 0.0533 (0.0585) loss_lansim: 0.0407 (0.0420) loss_contra: 0.0002 (0.0035) time: 2.7694 data: 0.0057 max mem: 31630 Epoch: [24] [3860/5278] eta: 1:05:23 lr: 2.101512872901017e-05 loss: 0.0543 (0.0590) loss_seg: 0.0538 (0.0585) loss_lansim: 0.0409 (0.0420) loss_contra: 0.0002 (0.0035) time: 2.7674 data: 0.0057 max mem: 31630 Epoch: [24] [3870/5278] eta: 1:04:55 lr: 2.101278173343886e-05 loss: 0.0537 (0.0589) loss_seg: 0.0533 (0.0585) loss_lansim: 0.0407 (0.0420) loss_contra: 0.0003 (0.0035) time: 2.7650 data: 0.0056 max mem: 31630 Epoch: [24] [3880/5278] eta: 1:04:28 lr: 2.1010434708740013e-05 loss: 0.0543 (0.0589) loss_seg: 0.0538 (0.0585) loss_lansim: 0.0407 (0.0420) loss_contra: 0.0004 (0.0035) time: 2.7674 data: 0.0056 max mem: 31630 Epoch: [24] [3890/5278] eta: 1:04:00 lr: 2.1008087654909636e-05 loss: 0.0539 (0.0590) loss_seg: 0.0536 (0.0585) loss_lansim: 0.0407 (0.0420) loss_contra: 0.0004 (0.0035) time: 2.7632 data: 0.0056 max mem: 31630 Epoch: [24] [3900/5278] eta: 1:03:32 lr: 2.1005740571943762e-05 loss: 0.0539 (0.0589) loss_seg: 0.0535 (0.0585) loss_lansim: 0.0408 (0.0420) loss_contra: 0.0003 (0.0035) time: 2.7635 data: 0.0056 max mem: 31630 Epoch: [24] [3910/5278] eta: 1:03:05 lr: 2.1003393459838412e-05 loss: 0.0548 (0.0589) loss_seg: 0.0544 (0.0585) loss_lansim: 0.0406 (0.0420) loss_contra: 0.0002 (0.0035) time: 2.7669 data: 0.0056 max mem: 31630 Epoch: [24] [3920/5278] eta: 1:02:37 lr: 2.1001046318589607e-05 loss: 0.0537 (0.0589) loss_seg: 0.0533 (0.0585) loss_lansim: 0.0405 (0.0420) loss_contra: 0.0002 (0.0035) time: 2.7644 data: 0.0057 max mem: 31630 Epoch: [24] [3930/5278] eta: 1:02:09 lr: 2.0998699148193357e-05 loss: 0.0522 (0.0589) loss_seg: 0.0518 (0.0585) loss_lansim: 0.0405 (0.0420) loss_contra: 0.0002 (0.0035) time: 2.7676 data: 0.0057 max mem: 31630 Epoch: [24] [3940/5278] eta: 1:01:42 lr: 2.0996351948645686e-05 loss: 0.0515 (0.0589) loss_seg: 0.0511 (0.0584) loss_lansim: 0.0406 (0.0420) loss_contra: 0.0002 (0.0035) time: 2.7667 data: 0.0057 max mem: 31630 Epoch: [24] [3950/5278] eta: 1:01:14 lr: 2.0994004719942613e-05 loss: 0.0515 (0.0589) loss_seg: 0.0511 (0.0584) loss_lansim: 0.0406 (0.0420) loss_contra: 0.0002 (0.0035) time: 2.7683 data: 0.0057 max mem: 31630 Epoch: [24] [3960/5278] eta: 1:00:46 lr: 2.0991657462080156e-05 loss: 0.0512 (0.0589) loss_seg: 0.0508 (0.0584) loss_lansim: 0.0402 (0.0420) loss_contra: 0.0002 (0.0035) time: 2.7695 data: 0.0057 max mem: 31630 Epoch: [24] [3970/5278] eta: 1:00:19 lr: 2.0989310175054317e-05 loss: 0.0522 (0.0589) loss_seg: 0.0518 (0.0584) loss_lansim: 0.0406 (0.0420) loss_contra: 0.0002 (0.0035) time: 2.7754 data: 0.0057 max mem: 31630 Epoch: [24] [3980/5278] eta: 0:59:51 lr: 2.098696285886112e-05 loss: 0.0511 (0.0589) loss_seg: 0.0508 (0.0584) loss_lansim: 0.0409 (0.0420) loss_contra: 0.0002 (0.0035) time: 2.7723 data: 0.0058 max mem: 31630 Epoch: [24] [3990/5278] eta: 0:59:24 lr: 2.0984615513496577e-05 loss: 0.0506 (0.0588) loss_seg: 0.0502 (0.0584) loss_lansim: 0.0410 (0.0420) loss_contra: 0.0002 (0.0035) time: 2.7767 data: 0.0058 max mem: 31630 Epoch: [24] [4000/5278] eta: 0:58:56 lr: 2.0982268138956697e-05 loss: 0.0497 (0.0588) loss_seg: 0.0493 (0.0584) loss_lansim: 0.0408 (0.0420) loss_contra: 0.0002 (0.0035) time: 2.7769 data: 0.0058 max mem: 31630 Epoch: [24] [4010/5278] eta: 0:58:28 lr: 2.09799207352375e-05 loss: 0.0496 (0.0588) loss_seg: 0.0492 (0.0583) loss_lansim: 0.0407 (0.0420) loss_contra: 0.0003 (0.0035) time: 2.7713 data: 0.0057 max mem: 31630 Epoch: [24] [4020/5278] eta: 0:58:01 lr: 2.0977573302334983e-05 loss: 0.0497 (0.0589) loss_seg: 0.0492 (0.0584) loss_lansim: 0.0407 (0.0420) loss_contra: 0.0003 (0.0035) time: 2.7744 data: 0.0056 max mem: 31630 Epoch: [24] [4030/5278] eta: 0:57:33 lr: 2.0975225840245154e-05 loss: 0.0505 (0.0589) loss_seg: 0.0500 (0.0584) loss_lansim: 0.0408 (0.0420) loss_contra: 0.0003 (0.0035) time: 2.7699 data: 0.0056 max mem: 31630 Epoch: [24] [4040/5278] eta: 0:57:05 lr: 2.0972878348964032e-05 loss: 0.0506 (0.0589) loss_seg: 0.0502 (0.0584) loss_lansim: 0.0409 (0.0420) loss_contra: 0.0003 (0.0035) time: 2.7717 data: 0.0056 max mem: 31630 Epoch: [24] [4050/5278] eta: 0:56:37 lr: 2.097053082848762e-05 loss: 0.0505 (0.0589) loss_seg: 0.0500 (0.0585) loss_lansim: 0.0405 (0.0419) loss_contra: 0.0003 (0.0035) time: 2.7689 data: 0.0055 max mem: 31630 Epoch: [24] [4060/5278] eta: 0:56:10 lr: 2.0968183278811917e-05 loss: 0.0505 (0.0589) loss_seg: 0.0500 (0.0585) loss_lansim: 0.0406 (0.0419) loss_contra: 0.0004 (0.0035) time: 2.7688 data: 0.0055 max mem: 31630 Epoch: [24] [4070/5278] eta: 0:55:42 lr: 2.0965835699932927e-05 loss: 0.0495 (0.0589) loss_seg: 0.0491 (0.0584) loss_lansim: 0.0404 (0.0419) loss_contra: 0.0004 (0.0035) time: 2.7661 data: 0.0055 max mem: 31630 Epoch: [24] [4080/5278] eta: 0:55:14 lr: 2.0963488091846663e-05 loss: 0.0513 (0.0589) loss_seg: 0.0510 (0.0584) loss_lansim: 0.0399 (0.0419) loss_contra: 0.0004 (0.0035) time: 2.7671 data: 0.0055 max mem: 31630 Epoch: [24] [4090/5278] eta: 0:54:47 lr: 2.0961140454549126e-05 loss: 0.0521 (0.0589) loss_seg: 0.0517 (0.0584) loss_lansim: 0.0394 (0.0419) loss_contra: 0.0005 (0.0035) time: 2.7683 data: 0.0055 max mem: 31630 Epoch: [24] [4100/5278] eta: 0:54:19 lr: 2.0958792788036308e-05 loss: 0.0528 (0.0589) loss_seg: 0.0525 (0.0584) loss_lansim: 0.0394 (0.0419) loss_contra: 0.0005 (0.0035) time: 2.7652 data: 0.0055 max mem: 31630 Epoch: [24] [4110/5278] eta: 0:53:52 lr: 2.0956445092304214e-05 loss: 0.0539 (0.0589) loss_seg: 0.0534 (0.0585) loss_lansim: 0.0397 (0.0419) loss_contra: 0.0005 (0.0035) time: 2.7699 data: 0.0055 max mem: 31630 Epoch: [24] [4120/5278] eta: 0:53:24 lr: 2.0954097367348843e-05 loss: 0.0537 (0.0589) loss_seg: 0.0533 (0.0585) loss_lansim: 0.0394 (0.0419) loss_contra: 0.0005 (0.0035) time: 2.7660 data: 0.0054 max mem: 31630 Epoch: [24] [4130/5278] eta: 0:52:56 lr: 2.09517496131662e-05 loss: 0.0509 (0.0589) loss_seg: 0.0505 (0.0584) loss_lansim: 0.0397 (0.0419) loss_contra: 0.0005 (0.0035) time: 2.7712 data: 0.0054 max mem: 31630 Epoch: [24] [4140/5278] eta: 0:52:29 lr: 2.094940182975227e-05 loss: 0.0521 (0.0589) loss_seg: 0.0517 (0.0585) loss_lansim: 0.0400 (0.0419) loss_contra: 0.0005 (0.0035) time: 2.7730 data: 0.0055 max mem: 31630 Epoch: [24] [4150/5278] eta: 0:52:01 lr: 2.0947054017103054e-05 loss: 0.0521 (0.0590) loss_seg: 0.0515 (0.0585) loss_lansim: 0.0407 (0.0419) loss_contra: 0.0006 (0.0035) time: 2.7742 data: 0.0055 max mem: 31630 Epoch: [24] [4160/5278] eta: 0:51:33 lr: 2.094470617521455e-05 loss: 0.0537 (0.0590) loss_seg: 0.0533 (0.0585) loss_lansim: 0.0407 (0.0419) loss_contra: 0.0005 (0.0035) time: 2.7780 data: 0.0055 max mem: 31630 Epoch: [24] [4170/5278] eta: 0:51:06 lr: 2.0942358304082754e-05 loss: 0.0538 (0.0590) loss_seg: 0.0534 (0.0585) loss_lansim: 0.0407 (0.0419) loss_contra: 0.0005 (0.0035) time: 2.7780 data: 0.0055 max mem: 31630 Epoch: [24] [4180/5278] eta: 0:50:38 lr: 2.094001040370365e-05 loss: 0.0538 (0.0590) loss_seg: 0.0534 (0.0585) loss_lansim: 0.0407 (0.0419) loss_contra: 0.0006 (0.0035) time: 2.7831 data: 0.0055 max mem: 31630 Epoch: [24] [4190/5278] eta: 0:50:11 lr: 2.0937662474073235e-05 loss: 0.0528 (0.0590) loss_seg: 0.0525 (0.0585) loss_lansim: 0.0403 (0.0419) loss_contra: 0.0005 (0.0035) time: 2.7816 data: 0.0055 max mem: 31630 Epoch: [24] [4200/5278] eta: 0:49:43 lr: 2.09353145151875e-05 loss: 0.0545 (0.0590) loss_seg: 0.0541 (0.0585) loss_lansim: 0.0400 (0.0419) loss_contra: 0.0006 (0.0035) time: 2.7830 data: 0.0055 max mem: 31630 Epoch: [24] [4210/5278] eta: 0:49:15 lr: 2.0932966527042438e-05 loss: 0.0545 (0.0590) loss_seg: 0.0541 (0.0585) loss_lansim: 0.0394 (0.0419) loss_contra: 0.0006 (0.0035) time: 2.7806 data: 0.0055 max mem: 31630 Epoch: [24] [4220/5278] eta: 0:48:47 lr: 2.0930618509634027e-05 loss: 0.0573 (0.0590) loss_seg: 0.0569 (0.0585) loss_lansim: 0.0393 (0.0419) loss_contra: 0.0005 (0.0035) time: 2.7747 data: 0.0056 max mem: 31630 Epoch: [24] [4230/5278] eta: 0:48:20 lr: 2.0928270462958267e-05 loss: 0.0574 (0.0590) loss_seg: 0.0570 (0.0585) loss_lansim: 0.0391 (0.0419) loss_contra: 0.0004 (0.0035) time: 2.7682 data: 0.0056 max mem: 31630 Epoch: [24] [4240/5278] eta: 0:47:52 lr: 2.092592238701113e-05 loss: 0.0561 (0.0590) loss_seg: 0.0557 (0.0585) loss_lansim: 0.0388 (0.0419) loss_contra: 0.0003 (0.0034) time: 2.7576 data: 0.0056 max mem: 31630 Epoch: [24] [4250/5278] eta: 0:47:24 lr: 2.092357428178862e-05 loss: 0.0561 (0.0590) loss_seg: 0.0557 (0.0586) loss_lansim: 0.0387 (0.0418) loss_contra: 0.0003 (0.0034) time: 2.7547 data: 0.0056 max mem: 31630 Epoch: [24] [4260/5278] eta: 0:46:56 lr: 2.0921226147286714e-05 loss: 0.0549 (0.0590) loss_seg: 0.0546 (0.0585) loss_lansim: 0.0379 (0.0418) loss_contra: 0.0003 (0.0034) time: 2.7435 data: 0.0056 max mem: 31630 Epoch: [24] [4270/5278] eta: 0:46:28 lr: 2.0918877983501388e-05 loss: 0.0549 (0.0590) loss_seg: 0.0546 (0.0585) loss_lansim: 0.0376 (0.0418) loss_contra: 0.0003 (0.0034) time: 2.7387 data: 0.0056 max mem: 31630 Epoch: [24] [4280/5278] eta: 0:46:00 lr: 2.091652979042863e-05 loss: 0.0549 (0.0590) loss_seg: 0.0546 (0.0586) loss_lansim: 0.0375 (0.0418) loss_contra: 0.0003 (0.0034) time: 2.7262 data: 0.0056 max mem: 31630 Epoch: [24] [4290/5278] eta: 0:45:33 lr: 2.091418156806442e-05 loss: 0.0545 (0.0590) loss_seg: 0.0541 (0.0585) loss_lansim: 0.0373 (0.0418) loss_contra: 0.0003 (0.0034) time: 2.7179 data: 0.0056 max mem: 31630 Epoch: [24] [4300/5278] eta: 0:45:05 lr: 2.091183331640475e-05 loss: 0.0509 (0.0590) loss_seg: 0.0506 (0.0585) loss_lansim: 0.0368 (0.0418) loss_contra: 0.0002 (0.0034) time: 2.7109 data: 0.0056 max mem: 31630 Epoch: [24] [4310/5278] eta: 0:44:37 lr: 2.0909485035445574e-05 loss: 0.0500 (0.0590) loss_seg: 0.0496 (0.0585) loss_lansim: 0.0367 (0.0418) loss_contra: 0.0002 (0.0034) time: 2.7062 data: 0.0056 max mem: 31630 Epoch: [24] [4320/5278] eta: 0:44:09 lr: 2.0907136725182894e-05 loss: 0.0500 (0.0590) loss_seg: 0.0496 (0.0586) loss_lansim: 0.0367 (0.0418) loss_contra: 0.0003 (0.0034) time: 2.7034 data: 0.0056 max mem: 31630 Epoch: [24] [4330/5278] eta: 0:43:41 lr: 2.090478838561267e-05 loss: 0.0493 (0.0590) loss_seg: 0.0489 (0.0586) loss_lansim: 0.0366 (0.0418) loss_contra: 0.0003 (0.0034) time: 2.7057 data: 0.0055 max mem: 31630 Epoch: [24] [4340/5278] eta: 0:43:14 lr: 2.09024400167309e-05 loss: 0.0495 (0.0590) loss_seg: 0.0491 (0.0586) loss_lansim: 0.0366 (0.0418) loss_contra: 0.0003 (0.0034) time: 2.7039 data: 0.0055 max mem: 31630 Epoch: [24] [4350/5278] eta: 0:42:46 lr: 2.0900091618533537e-05 loss: 0.0509 (0.0591) loss_seg: 0.0506 (0.0586) loss_lansim: 0.0363 (0.0417) loss_contra: 0.0003 (0.0034) time: 2.7027 data: 0.0055 max mem: 31630 Epoch: [24] [4360/5278] eta: 0:42:18 lr: 2.089774319101656e-05 loss: 0.0511 (0.0591) loss_seg: 0.0508 (0.0586) loss_lansim: 0.0366 (0.0417) loss_contra: 0.0003 (0.0034) time: 2.6998 data: 0.0054 max mem: 31630 Epoch: [24] [4370/5278] eta: 0:41:50 lr: 2.0895394734175948e-05 loss: 0.0521 (0.0591) loss_seg: 0.0517 (0.0586) loss_lansim: 0.0366 (0.0417) loss_contra: 0.0003 (0.0034) time: 2.7001 data: 0.0054 max mem: 31630 Epoch: [24] [4380/5278] eta: 0:41:22 lr: 2.0893046248007676e-05 loss: 0.0521 (0.0591) loss_seg: 0.0517 (0.0586) loss_lansim: 0.0366 (0.0417) loss_contra: 0.0003 (0.0034) time: 2.7017 data: 0.0054 max mem: 31630 Epoch: [24] [4390/5278] eta: 0:40:55 lr: 2.0890697732507704e-05 loss: 0.0545 (0.0591) loss_seg: 0.0542 (0.0586) loss_lansim: 0.0370 (0.0417) loss_contra: 0.0003 (0.0034) time: 2.7020 data: 0.0054 max mem: 31630 Epoch: [24] [4400/5278] eta: 0:40:27 lr: 2.0888349187672003e-05 loss: 0.0590 (0.0591) loss_seg: 0.0586 (0.0586) loss_lansim: 0.0376 (0.0417) loss_contra: 0.0003 (0.0034) time: 2.7015 data: 0.0054 max mem: 31630 Epoch: [24] [4410/5278] eta: 0:39:59 lr: 2.088600061349655e-05 loss: 0.0580 (0.0591) loss_seg: 0.0576 (0.0586) loss_lansim: 0.0382 (0.0417) loss_contra: 0.0002 (0.0034) time: 2.7005 data: 0.0054 max mem: 31630 Epoch: [24] [4420/5278] eta: 0:39:31 lr: 2.0883652009977313e-05 loss: 0.0545 (0.0591) loss_seg: 0.0542 (0.0586) loss_lansim: 0.0377 (0.0417) loss_contra: 0.0002 (0.0034) time: 2.7041 data: 0.0054 max mem: 31630 Epoch: [24] [4430/5278] eta: 0:39:04 lr: 2.0881303377110243e-05 loss: 0.0525 (0.0590) loss_seg: 0.0521 (0.0586) loss_lansim: 0.0376 (0.0417) loss_contra: 0.0002 (0.0033) time: 2.7009 data: 0.0054 max mem: 31630 Epoch: [24] [4440/5278] eta: 0:38:36 lr: 2.087895471489132e-05 loss: 0.0540 (0.0591) loss_seg: 0.0536 (0.0586) loss_lansim: 0.0377 (0.0417) loss_contra: 0.0002 (0.0033) time: 2.7019 data: 0.0054 max mem: 31630 Epoch: [24] [4450/5278] eta: 0:38:08 lr: 2.08766060233165e-05 loss: 0.0532 (0.0591) loss_seg: 0.0528 (0.0586) loss_lansim: 0.0384 (0.0417) loss_contra: 0.0001 (0.0033) time: 2.6997 data: 0.0054 max mem: 31630 Epoch: [24] [4460/5278] eta: 0:37:40 lr: 2.087425730238176e-05 loss: 0.0546 (0.0592) loss_seg: 0.0542 (0.0587) loss_lansim: 0.0383 (0.0417) loss_contra: 0.0001 (0.0033) time: 2.7044 data: 0.0054 max mem: 31630 Epoch: [24] [4470/5278] eta: 0:37:13 lr: 2.087190855208305e-05 loss: 0.0525 (0.0592) loss_seg: 0.0521 (0.0587) loss_lansim: 0.0383 (0.0417) loss_contra: 0.0001 (0.0033) time: 2.7023 data: 0.0054 max mem: 31630 Epoch: [24] [4480/5278] eta: 0:36:45 lr: 2.0869559772416326e-05 loss: 0.0521 (0.0591) loss_seg: 0.0517 (0.0587) loss_lansim: 0.0383 (0.0417) loss_contra: 0.0001 (0.0033) time: 2.7030 data: 0.0054 max mem: 31630 Epoch: [24] [4490/5278] eta: 0:36:17 lr: 2.086721096337756e-05 loss: 0.0540 (0.0592) loss_seg: 0.0536 (0.0587) loss_lansim: 0.0380 (0.0416) loss_contra: 0.0001 (0.0033) time: 2.7048 data: 0.0054 max mem: 31630 Epoch: [24] [4500/5278] eta: 0:35:49 lr: 2.086486212496271e-05 loss: 0.0532 (0.0592) loss_seg: 0.0528 (0.0587) loss_lansim: 0.0384 (0.0416) loss_contra: 0.0001 (0.0033) time: 2.7092 data: 0.0054 max mem: 31630 Epoch: [24] [4510/5278] eta: 0:35:22 lr: 2.086251325716774e-05 loss: 0.0532 (0.0592) loss_seg: 0.0528 (0.0587) loss_lansim: 0.0380 (0.0416) loss_contra: 0.0002 (0.0033) time: 2.7105 data: 0.0055 max mem: 31630 Epoch: [24] [4520/5278] eta: 0:34:54 lr: 2.0860164359988588e-05 loss: 0.0543 (0.0592) loss_seg: 0.0539 (0.0587) loss_lansim: 0.0383 (0.0416) loss_contra: 0.0002 (0.0033) time: 2.7154 data: 0.0055 max mem: 31630 Epoch: [24] [4530/5278] eta: 0:34:26 lr: 2.0857815433421223e-05 loss: 0.0547 (0.0592) loss_seg: 0.0543 (0.0587) loss_lansim: 0.0384 (0.0416) loss_contra: 0.0002 (0.0034) time: 2.7142 data: 0.0055 max mem: 31630 Epoch: [24] [4540/5278] eta: 0:33:59 lr: 2.0855466477461597e-05 loss: 0.0546 (0.0592) loss_seg: 0.0542 (0.0587) loss_lansim: 0.0381 (0.0416) loss_contra: 0.0002 (0.0034) time: 2.7193 data: 0.0055 max mem: 31630 Epoch: [24] [4550/5278] eta: 0:33:31 lr: 2.085311749210567e-05 loss: 0.0546 (0.0592) loss_seg: 0.0542 (0.0587) loss_lansim: 0.0378 (0.0416) loss_contra: 0.0004 (0.0034) time: 2.7170 data: 0.0055 max mem: 31630 Epoch: [24] [4560/5278] eta: 0:33:03 lr: 2.0850768477349384e-05 loss: 0.0546 (0.0592) loss_seg: 0.0542 (0.0587) loss_lansim: 0.0373 (0.0416) loss_contra: 0.0004 (0.0034) time: 2.7167 data: 0.0055 max mem: 31630 Epoch: [24] [4570/5278] eta: 0:32:36 lr: 2.0848419433188696e-05 loss: 0.0554 (0.0592) loss_seg: 0.0549 (0.0587) loss_lansim: 0.0370 (0.0416) loss_contra: 0.0005 (0.0034) time: 2.7171 data: 0.0055 max mem: 31630 Epoch: [24] [4580/5278] eta: 0:32:08 lr: 2.084607035961956e-05 loss: 0.0545 (0.0592) loss_seg: 0.0541 (0.0587) loss_lansim: 0.0371 (0.0416) loss_contra: 0.0005 (0.0034) time: 2.7161 data: 0.0055 max mem: 31630 Epoch: [24] [4590/5278] eta: 0:31:40 lr: 2.084372125663792e-05 loss: 0.0545 (0.0592) loss_seg: 0.0541 (0.0587) loss_lansim: 0.0372 (0.0416) loss_contra: 0.0004 (0.0034) time: 2.7143 data: 0.0055 max mem: 31630 Epoch: [24] [4600/5278] eta: 0:31:12 lr: 2.0841372124239727e-05 loss: 0.0518 (0.0591) loss_seg: 0.0513 (0.0587) loss_lansim: 0.0368 (0.0416) loss_contra: 0.0003 (0.0034) time: 2.7145 data: 0.0055 max mem: 31630 Epoch: [24] [4610/5278] eta: 0:30:45 lr: 2.0839022962420927e-05 loss: 0.0507 (0.0591) loss_seg: 0.0504 (0.0587) loss_lansim: 0.0366 (0.0415) loss_contra: 0.0003 (0.0033) time: 2.7102 data: 0.0055 max mem: 31630 Epoch: [24] [4620/5278] eta: 0:30:17 lr: 2.0836673771177467e-05 loss: 0.0535 (0.0592) loss_seg: 0.0528 (0.0587) loss_lansim: 0.0362 (0.0415) loss_contra: 0.0004 (0.0033) time: 2.7081 data: 0.0055 max mem: 31630 Epoch: [24] [4630/5278] eta: 0:29:49 lr: 2.0834324550505297e-05 loss: 0.0538 (0.0592) loss_seg: 0.0534 (0.0588) loss_lansim: 0.0359 (0.0415) loss_contra: 0.0004 (0.0033) time: 2.7114 data: 0.0054 max mem: 31630 Epoch: [24] [4640/5278] eta: 0:29:22 lr: 2.083197530040035e-05 loss: 0.0538 (0.0592) loss_seg: 0.0534 (0.0587) loss_lansim: 0.0359 (0.0415) loss_contra: 0.0003 (0.0034) time: 2.7100 data: 0.0054 max mem: 31630 Epoch: [24] [4650/5278] eta: 0:28:54 lr: 2.0829626020858585e-05 loss: 0.0535 (0.0592) loss_seg: 0.0528 (0.0587) loss_lansim: 0.0359 (0.0415) loss_contra: 0.0003 (0.0034) time: 2.7177 data: 0.0054 max mem: 31630 Epoch: [24] [4660/5278] eta: 0:28:26 lr: 2.082727671187593e-05 loss: 0.0509 (0.0592) loss_seg: 0.0505 (0.0587) loss_lansim: 0.0361 (0.0415) loss_contra: 0.0003 (0.0034) time: 2.7151 data: 0.0054 max mem: 31630 Epoch: [24] [4670/5278] eta: 0:27:59 lr: 2.0824927373448334e-05 loss: 0.0511 (0.0592) loss_seg: 0.0507 (0.0587) loss_lansim: 0.0366 (0.0415) loss_contra: 0.0002 (0.0034) time: 2.7167 data: 0.0054 max mem: 31630 Epoch: [24] [4680/5278] eta: 0:27:31 lr: 2.082257800557173e-05 loss: 0.0538 (0.0592) loss_seg: 0.0534 (0.0587) loss_lansim: 0.0368 (0.0415) loss_contra: 0.0002 (0.0034) time: 2.7167 data: 0.0054 max mem: 31630 Epoch: [24] [4690/5278] eta: 0:27:03 lr: 2.0820228608242065e-05 loss: 0.0511 (0.0592) loss_seg: 0.0507 (0.0587) loss_lansim: 0.0369 (0.0415) loss_contra: 0.0002 (0.0034) time: 2.7221 data: 0.0055 max mem: 31630 Epoch: [24] [4700/5278] eta: 0:26:36 lr: 2.0817879181455273e-05 loss: 0.0521 (0.0592) loss_seg: 0.0517 (0.0587) loss_lansim: 0.0373 (0.0415) loss_contra: 0.0002 (0.0034) time: 2.7190 data: 0.0055 max mem: 31630 Epoch: [24] [4710/5278] eta: 0:26:08 lr: 2.0815529725207285e-05 loss: 0.0533 (0.0592) loss_seg: 0.0529 (0.0587) loss_lansim: 0.0375 (0.0415) loss_contra: 0.0002 (0.0034) time: 2.7258 data: 0.0055 max mem: 31630 Epoch: [24] [4720/5278] eta: 0:25:40 lr: 2.0813180239494054e-05 loss: 0.0540 (0.0592) loss_seg: 0.0537 (0.0587) loss_lansim: 0.0375 (0.0414) loss_contra: 0.0002 (0.0033) time: 2.7262 data: 0.0055 max mem: 31630 Epoch: [24] [4730/5278] eta: 0:25:13 lr: 2.0810830724311496e-05 loss: 0.0533 (0.0592) loss_seg: 0.0529 (0.0588) loss_lansim: 0.0377 (0.0414) loss_contra: 0.0002 (0.0033) time: 2.7219 data: 0.0056 max mem: 31630 Epoch: [24] [4740/5278] eta: 0:24:45 lr: 2.080848117965555e-05 loss: 0.0545 (0.0592) loss_seg: 0.0541 (0.0588) loss_lansim: 0.0379 (0.0414) loss_contra: 0.0002 (0.0033) time: 2.7225 data: 0.0057 max mem: 31630 Epoch: [24] [4750/5278] eta: 0:24:17 lr: 2.080613160552215e-05 loss: 0.0545 (0.0592) loss_seg: 0.0541 (0.0588) loss_lansim: 0.0378 (0.0414) loss_contra: 0.0002 (0.0033) time: 2.7169 data: 0.0057 max mem: 31630 Epoch: [24] [4760/5278] eta: 0:23:50 lr: 2.080378200190724e-05 loss: 0.0545 (0.0593) loss_seg: 0.0541 (0.0588) loss_lansim: 0.0377 (0.0414) loss_contra: 0.0002 (0.0033) time: 2.7183 data: 0.0057 max mem: 31630 Epoch: [24] [4770/5278] eta: 0:23:22 lr: 2.080143236880673e-05 loss: 0.0545 (0.0592) loss_seg: 0.0541 (0.0588) loss_lansim: 0.0375 (0.0414) loss_contra: 0.0002 (0.0033) time: 2.7155 data: 0.0057 max mem: 31630 Epoch: [24] [4780/5278] eta: 0:22:54 lr: 2.0799082706216552e-05 loss: 0.0546 (0.0592) loss_seg: 0.0541 (0.0588) loss_lansim: 0.0375 (0.0414) loss_contra: 0.0002 (0.0033) time: 2.7197 data: 0.0057 max mem: 31630 Epoch: [24] [4790/5278] eta: 0:22:27 lr: 2.0796733014132644e-05 loss: 0.0583 (0.0592) loss_seg: 0.0580 (0.0588) loss_lansim: 0.0373 (0.0414) loss_contra: 0.0002 (0.0033) time: 2.7137 data: 0.0056 max mem: 31630 Epoch: [24] [4800/5278] eta: 0:21:59 lr: 2.079438329255093e-05 loss: 0.0579 (0.0592) loss_seg: 0.0575 (0.0588) loss_lansim: 0.0371 (0.0414) loss_contra: 0.0002 (0.0033) time: 2.7139 data: 0.0056 max mem: 31630 Epoch: [24] [4810/5278] eta: 0:21:31 lr: 2.0792033541467333e-05 loss: 0.0561 (0.0592) loss_seg: 0.0556 (0.0588) loss_lansim: 0.0370 (0.0414) loss_contra: 0.0002 (0.0033) time: 2.7075 data: 0.0056 max mem: 31630 Epoch: [24] [4820/5278] eta: 0:21:04 lr: 2.078968376087778e-05 loss: 0.0570 (0.0592) loss_seg: 0.0566 (0.0588) loss_lansim: 0.0368 (0.0414) loss_contra: 0.0003 (0.0033) time: 2.7094 data: 0.0056 max mem: 31630 Epoch: [24] [4830/5278] eta: 0:20:36 lr: 2.0787333950778193e-05 loss: 0.0563 (0.0592) loss_seg: 0.0557 (0.0588) loss_lansim: 0.0366 (0.0414) loss_contra: 0.0003 (0.0033) time: 2.7102 data: 0.0055 max mem: 31630 Epoch: [24] [4840/5278] eta: 0:20:08 lr: 2.07849841111645e-05 loss: 0.0543 (0.0592) loss_seg: 0.0539 (0.0588) loss_lansim: 0.0366 (0.0413) loss_contra: 0.0003 (0.0033) time: 2.7102 data: 0.0054 max mem: 31630 Epoch: [24] [4850/5278] eta: 0:19:41 lr: 2.078263424203262e-05 loss: 0.0539 (0.0592) loss_seg: 0.0535 (0.0587) loss_lansim: 0.0364 (0.0413) loss_contra: 0.0003 (0.0033) time: 2.7114 data: 0.0054 max mem: 31630 Epoch: [24] [4860/5278] eta: 0:19:13 lr: 2.0780284343378467e-05 loss: 0.0555 (0.0592) loss_seg: 0.0551 (0.0588) loss_lansim: 0.0363 (0.0413) loss_contra: 0.0003 (0.0033) time: 2.7128 data: 0.0054 max mem: 31630 Epoch: [24] [4870/5278] eta: 0:18:46 lr: 2.077793441519797e-05 loss: 0.0563 (0.0593) loss_seg: 0.0557 (0.0589) loss_lansim: 0.0364 (0.0413) loss_contra: 0.0003 (0.0033) time: 2.7142 data: 0.0053 max mem: 31630 Epoch: [24] [4880/5278] eta: 0:18:18 lr: 2.0775584457487046e-05 loss: 0.0555 (0.0593) loss_seg: 0.0551 (0.0589) loss_lansim: 0.0363 (0.0413) loss_contra: 0.0002 (0.0033) time: 2.7106 data: 0.0053 max mem: 31630 Epoch: [24] [4890/5278] eta: 0:17:50 lr: 2.0773234470241605e-05 loss: 0.0539 (0.0593) loss_seg: 0.0535 (0.0588) loss_lansim: 0.0363 (0.0413) loss_contra: 0.0002 (0.0033) time: 2.7148 data: 0.0053 max mem: 31630 Epoch: [24] [4900/5278] eta: 0:17:23 lr: 2.0770884453457575e-05 loss: 0.0550 (0.0593) loss_seg: 0.0546 (0.0588) loss_lansim: 0.0363 (0.0413) loss_contra: 0.0002 (0.0033) time: 2.7150 data: 0.0053 max mem: 31630 Epoch: [24] [4910/5278] eta: 0:16:55 lr: 2.0768534407130858e-05 loss: 0.0555 (0.0593) loss_seg: 0.0551 (0.0588) loss_lansim: 0.0363 (0.0413) loss_contra: 0.0003 (0.0033) time: 2.7203 data: 0.0053 max mem: 31630 Epoch: [24] [4920/5278] eta: 0:16:27 lr: 2.076618433125738e-05 loss: 0.0550 (0.0593) loss_seg: 0.0546 (0.0589) loss_lansim: 0.0363 (0.0413) loss_contra: 0.0002 (0.0033) time: 2.7159 data: 0.0053 max mem: 31630 Epoch: [24] [4930/5278] eta: 0:16:00 lr: 2.076383422583305e-05 loss: 0.0555 (0.0593) loss_seg: 0.0551 (0.0589) loss_lansim: 0.0364 (0.0413) loss_contra: 0.0003 (0.0033) time: 2.7197 data: 0.0053 max mem: 31630 Epoch: [24] [4940/5278] eta: 0:15:32 lr: 2.0761484090853778e-05 loss: 0.0555 (0.0593) loss_seg: 0.0551 (0.0589) loss_lansim: 0.0364 (0.0412) loss_contra: 0.0003 (0.0033) time: 2.7160 data: 0.0053 max mem: 31630 Epoch: [24] [4950/5278] eta: 0:15:05 lr: 2.0759133926315475e-05 loss: 0.0564 (0.0593) loss_seg: 0.0560 (0.0589) loss_lansim: 0.0360 (0.0412) loss_contra: 0.0004 (0.0033) time: 2.7184 data: 0.0053 max mem: 31630 Epoch: [24] [4960/5278] eta: 0:14:37 lr: 2.075678373221405e-05 loss: 0.0550 (0.0593) loss_seg: 0.0547 (0.0589) loss_lansim: 0.0357 (0.0412) loss_contra: 0.0003 (0.0033) time: 2.7169 data: 0.0054 max mem: 31630 Epoch: [24] [4970/5278] eta: 0:14:09 lr: 2.0754433508545425e-05 loss: 0.0564 (0.0593) loss_seg: 0.0560 (0.0589) loss_lansim: 0.0354 (0.0412) loss_contra: 0.0003 (0.0033) time: 2.7152 data: 0.0054 max mem: 31630 Epoch: [24] [4980/5278] eta: 0:13:42 lr: 2.0752083255305486e-05 loss: 0.0564 (0.0593) loss_seg: 0.0560 (0.0589) loss_lansim: 0.0356 (0.0412) loss_contra: 0.0004 (0.0033) time: 2.7166 data: 0.0054 max mem: 31630 Epoch: [24] [4990/5278] eta: 0:13:14 lr: 2.074973297249015e-05 loss: 0.0565 (0.0593) loss_seg: 0.0562 (0.0589) loss_lansim: 0.0356 (0.0412) loss_contra: 0.0003 (0.0033) time: 2.7128 data: 0.0054 max mem: 31630 Epoch: [24] [5000/5278] eta: 0:12:46 lr: 2.074738266009533e-05 loss: 0.0565 (0.0593) loss_seg: 0.0562 (0.0589) loss_lansim: 0.0356 (0.0412) loss_contra: 0.0003 (0.0033) time: 2.7068 data: 0.0054 max mem: 31630 Epoch: [24] [5010/5278] eta: 0:12:19 lr: 2.074503231811692e-05 loss: 0.0574 (0.0594) loss_seg: 0.0570 (0.0589) loss_lansim: 0.0356 (0.0412) loss_contra: 0.0003 (0.0033) time: 2.6967 data: 0.0054 max mem: 31630 Epoch: [24] [5020/5278] eta: 0:11:51 lr: 2.074268194655083e-05 loss: 0.0574 (0.0594) loss_seg: 0.0570 (0.0590) loss_lansim: 0.0352 (0.0412) loss_contra: 0.0003 (0.0033) time: 2.6889 data: 0.0054 max mem: 31630 Epoch: [24] [5030/5278] eta: 0:11:23 lr: 2.0740331545392955e-05 loss: 0.0575 (0.0594) loss_seg: 0.0571 (0.0590) loss_lansim: 0.0351 (0.0411) loss_contra: 0.0002 (0.0033) time: 2.6791 data: 0.0055 max mem: 31630 Epoch: [24] [5040/5278] eta: 0:10:56 lr: 2.0737981114639203e-05 loss: 0.0589 (0.0594) loss_seg: 0.0585 (0.0590) loss_lansim: 0.0348 (0.0411) loss_contra: 0.0002 (0.0033) time: 2.6737 data: 0.0055 max mem: 31630 Epoch: [24] [5050/5278] eta: 0:10:28 lr: 2.0735630654285474e-05 loss: 0.0589 (0.0594) loss_seg: 0.0585 (0.0590) loss_lansim: 0.0348 (0.0411) loss_contra: 0.0002 (0.0033) time: 2.6633 data: 0.0055 max mem: 31630 Epoch: [24] [5060/5278] eta: 0:10:01 lr: 2.073328016432766e-05 loss: 0.0594 (0.0595) loss_seg: 0.0587 (0.0590) loss_lansim: 0.0349 (0.0411) loss_contra: 0.0002 (0.0033) time: 2.6565 data: 0.0055 max mem: 31630 Epoch: [24] [5070/5278] eta: 0:09:33 lr: 2.0730929644761663e-05 loss: 0.0589 (0.0594) loss_seg: 0.0585 (0.0590) loss_lansim: 0.0348 (0.0411) loss_contra: 0.0002 (0.0033) time: 2.6507 data: 0.0055 max mem: 31630 Epoch: [24] [5080/5278] eta: 0:09:05 lr: 2.072857909558338e-05 loss: 0.0575 (0.0594) loss_seg: 0.0571 (0.0590) loss_lansim: 0.0346 (0.0411) loss_contra: 0.0002 (0.0033) time: 2.6427 data: 0.0055 max mem: 31630 Epoch: [24] [5090/5278] eta: 0:08:38 lr: 2.0726228516788718e-05 loss: 0.0560 (0.0594) loss_seg: 0.0557 (0.0590) loss_lansim: 0.0348 (0.0411) loss_contra: 0.0004 (0.0033) time: 2.6359 data: 0.0055 max mem: 31630 Epoch: [24] [5100/5278] eta: 0:08:10 lr: 2.0723877908373552e-05 loss: 0.0560 (0.0594) loss_seg: 0.0556 (0.0590) loss_lansim: 0.0347 (0.0411) loss_contra: 0.0004 (0.0033) time: 2.6347 data: 0.0055 max mem: 31630 Epoch: [24] [5110/5278] eta: 0:07:42 lr: 2.0721527270333786e-05 loss: 0.0551 (0.0594) loss_seg: 0.0547 (0.0590) loss_lansim: 0.0346 (0.0411) loss_contra: 0.0003 (0.0033) time: 2.6349 data: 0.0055 max mem: 31630 Epoch: [24] [5120/5278] eta: 0:07:15 lr: 2.0719176602665308e-05 loss: 0.0548 (0.0594) loss_seg: 0.0545 (0.0590) loss_lansim: 0.0347 (0.0410) loss_contra: 0.0004 (0.0033) time: 2.6350 data: 0.0055 max mem: 31630 Epoch: [24] [5130/5278] eta: 0:06:47 lr: 2.071682590536402e-05 loss: 0.0548 (0.0594) loss_seg: 0.0545 (0.0590) loss_lansim: 0.0345 (0.0410) loss_contra: 0.0005 (0.0033) time: 2.6354 data: 0.0055 max mem: 31630 Epoch: [24] [5140/5278] eta: 0:06:20 lr: 2.07144751784258e-05 loss: 0.0547 (0.0595) loss_seg: 0.0543 (0.0590) loss_lansim: 0.0350 (0.0410) loss_contra: 0.0004 (0.0033) time: 2.6443 data: 0.0055 max mem: 31630 Epoch: [24] [5150/5278] eta: 0:05:52 lr: 2.0712124421846545e-05 loss: 0.0540 (0.0594) loss_seg: 0.0537 (0.0590) loss_lansim: 0.0350 (0.0410) loss_contra: 0.0004 (0.0033) time: 2.6508 data: 0.0055 max mem: 31630 Epoch: [24] [5160/5278] eta: 0:05:25 lr: 2.070977363562214e-05 loss: 0.0539 (0.0594) loss_seg: 0.0535 (0.0590) loss_lansim: 0.0348 (0.0410) loss_contra: 0.0004 (0.0033) time: 2.6587 data: 0.0056 max mem: 31630 Epoch: [24] [5170/5278] eta: 0:04:57 lr: 2.0707422819748472e-05 loss: 0.0538 (0.0594) loss_seg: 0.0535 (0.0590) loss_lansim: 0.0348 (0.0410) loss_contra: 0.0005 (0.0033) time: 2.6641 data: 0.0056 max mem: 31630 Epoch: [24] [5180/5278] eta: 0:04:29 lr: 2.070507197422143e-05 loss: 0.0548 (0.0594) loss_seg: 0.0545 (0.0590) loss_lansim: 0.0350 (0.0410) loss_contra: 0.0005 (0.0033) time: 2.6723 data: 0.0056 max mem: 31630 Epoch: [24] [5190/5278] eta: 0:04:02 lr: 2.0702721099036893e-05 loss: 0.0548 (0.0594) loss_seg: 0.0545 (0.0590) loss_lansim: 0.0343 (0.0410) loss_contra: 0.0004 (0.0033) time: 2.6794 data: 0.0056 max mem: 31630 Epoch: [24] [5200/5278] eta: 0:03:34 lr: 2.070037019419075e-05 loss: 0.0550 (0.0594) loss_seg: 0.0546 (0.0590) loss_lansim: 0.0343 (0.0409) loss_contra: 0.0004 (0.0033) time: 2.6881 data: 0.0056 max mem: 31630 Epoch: [24] [5210/5278] eta: 0:03:07 lr: 2.069801925967888e-05 loss: 0.0554 (0.0595) loss_seg: 0.0551 (0.0590) loss_lansim: 0.0340 (0.0409) loss_contra: 0.0004 (0.0033) time: 2.6998 data: 0.0056 max mem: 31630 Epoch: [24] [5220/5278] eta: 0:02:39 lr: 2.0695668295497173e-05 loss: 0.0563 (0.0595) loss_seg: 0.0560 (0.0590) loss_lansim: 0.0337 (0.0409) loss_contra: 0.0003 (0.0033) time: 2.7054 data: 0.0056 max mem: 31630 Epoch: [24] [5230/5278] eta: 0:02:12 lr: 2.0693317301641498e-05 loss: 0.0562 (0.0595) loss_seg: 0.0559 (0.0590) loss_lansim: 0.0337 (0.0409) loss_contra: 0.0003 (0.0033) time: 2.7162 data: 0.0056 max mem: 31630 Epoch: [24] [5240/5278] eta: 0:01:44 lr: 2.0690966278107743e-05 loss: 0.0554 (0.0594) loss_seg: 0.0551 (0.0590) loss_lansim: 0.0336 (0.0409) loss_contra: 0.0003 (0.0033) time: 2.7157 data: 0.0057 max mem: 31630 Epoch: [24] [5250/5278] eta: 0:01:17 lr: 2.068861522489178e-05 loss: 0.0556 (0.0594) loss_seg: 0.0553 (0.0590) loss_lansim: 0.0334 (0.0409) loss_contra: 0.0003 (0.0033) time: 2.7186 data: 0.0056 max mem: 31630 Epoch: [24] [5260/5278] eta: 0:00:49 lr: 2.06862641419895e-05 loss: 0.0561 (0.0594) loss_seg: 0.0558 (0.0590) loss_lansim: 0.0337 (0.0409) loss_contra: 0.0003 (0.0033) time: 2.7206 data: 0.0055 max mem: 31630 Epoch: [24] [5270/5278] eta: 0:00:22 lr: 2.0683913029396755e-05 loss: 0.0561 (0.0594) loss_seg: 0.0558 (0.0590) loss_lansim: 0.0337 (0.0408) loss_contra: 0.0003 (0.0033) time: 2.7211 data: 0.0055 max mem: 31630 Epoch: [24] Total time: 4:02:18 Test: [ 0/2573] eta: 0:59:46 time: 1.3939 data: 1.2349 max mem: 31630 Test: [ 100/2573] eta: 0:06:13 time: 0.1386 data: 0.0013 max mem: 31630 Test: [ 200/2573] eta: 0:05:50 time: 0.1439 data: 0.0014 max mem: 31630 Test: [ 300/2573] eta: 0:05:28 time: 0.1387 data: 0.0014 max mem: 31630 Test: [ 400/2573] eta: 0:05:12 time: 0.1407 data: 0.0014 max mem: 31630 Test: [ 500/2573] eta: 0:04:56 time: 0.1413 data: 0.0014 max mem: 31630 Test: [ 600/2573] eta: 0:04:42 time: 0.1427 data: 0.0014 max mem: 31630 Test: [ 700/2573] eta: 0:04:28 time: 0.1464 data: 0.0014 max mem: 31630 Test: [ 800/2573] eta: 0:04:14 time: 0.1435 data: 0.0014 max mem: 31630 Test: [ 900/2573] eta: 0:04:00 time: 0.1436 data: 0.0014 max mem: 31630 Test: [1000/2573] eta: 0:03:45 time: 0.1422 data: 0.0014 max mem: 31630 Test: [1100/2573] eta: 0:03:31 time: 0.1420 data: 0.0014 max mem: 31630 Test: [1200/2573] eta: 0:03:16 time: 0.1439 data: 0.0014 max mem: 31630 Test: [1300/2573] eta: 0:03:02 time: 0.1426 data: 0.0015 max mem: 31630 Test: [1400/2573] eta: 0:02:47 time: 0.1389 data: 0.0014 max mem: 31630 Test: [1500/2573] eta: 0:02:33 time: 0.1436 data: 0.0014 max mem: 31630 Test: [1600/2573] eta: 0:02:19 time: 0.1433 data: 0.0014 max mem: 31630 Test: [1700/2573] eta: 0:02:04 time: 0.1441 data: 0.0014 max mem: 31630 Test: [1800/2573] eta: 0:01:50 time: 0.1409 data: 0.0014 max mem: 31630 Test: [1900/2573] eta: 0:01:36 time: 0.1390 data: 0.0014 max mem: 31630 Test: [2000/2573] eta: 0:01:21 time: 0.1390 data: 0.0014 max mem: 31630 Test: [2100/2573] eta: 0:01:07 time: 0.1433 data: 0.0014 max mem: 31630 Test: [2200/2573] eta: 0:00:53 time: 0.1382 data: 0.0014 max mem: 31630 Test: [2300/2573] eta: 0:00:38 time: 0.1433 data: 0.0014 max mem: 31630 Test: [2400/2573] eta: 0:00:24 time: 0.1411 data: 0.0014 max mem: 31630 Test: [2500/2573] eta: 0:00:10 time: 0.1434 data: 0.0014 max mem: 31630 Test: Total time: 0:06:06 Final results: precision@0.5 = 67.79 precision@0.6 = 62.89 precision@0.7 = 56.56 precision@0.8 = 45.38 precision@0.9 = 21.98 overall IoU = 57.90 mean IoU = 60.28 Epoch: [25] [ 0/5278] eta: 6:35:29 lr: 2.068203211794267e-05 loss: 0.0384 (0.0384) loss_seg: 0.0380 (0.0380) loss_lansim: 0.0338 (0.0338) loss_contra: 0.0029 (0.0029) time: 4.4960 data: 1.6812 max mem: 31630 Epoch: [25] [ 10/5278] eta: 4:12:47 lr: 2.067968095189672e-05 loss: 0.0433 (0.0450) loss_seg: 0.0429 (0.0447) loss_lansim: 0.0337 (0.0336) loss_contra: 0.0001 (0.0008) time: 2.8793 data: 0.1568 max mem: 31630 Epoch: [25] [ 20/5278] eta: 4:04:49 lr: 2.067732975614877e-05 loss: 0.0484 (0.0492) loss_seg: 0.0481 (0.0488) loss_lansim: 0.0337 (0.0339) loss_contra: 0.0002 (0.0017) time: 2.7938 data: 0.0846 max mem: 31630 Epoch: [25] [ 30/5278] eta: 4:03:18 lr: 2.0674978530694687e-05 loss: 0.0497 (0.0566) loss_seg: 0.0494 (0.0563) loss_lansim: 0.0329 (0.0336) loss_contra: 0.0002 (0.0015) time: 2.7817 data: 0.0591 max mem: 31630 Epoch: [25] [ 40/5278] eta: 4:02:02 lr: 2.0672627275530348e-05 loss: 0.0500 (0.0595) loss_seg: 0.0496 (0.0592) loss_lansim: 0.0329 (0.0333) loss_contra: 0.0003 (0.0016) time: 2.7725 data: 0.0460 max mem: 31630 Epoch: [25] [ 50/5278] eta: 4:00:51 lr: 2.0670275990651618e-05 loss: 0.0500 (0.0640) loss_seg: 0.0496 (0.0637) loss_lansim: 0.0327 (0.0335) loss_contra: 0.0003 (0.0015) time: 2.7642 data: 0.0381 max mem: 31630 Epoch: [25] [ 60/5278] eta: 3:59:39 lr: 2.066792467605436e-05 loss: 0.0526 (0.0666) loss_seg: 0.0523 (0.0662) loss_lansim: 0.0327 (0.0331) loss_contra: 0.0003 (0.0021) time: 2.7558 data: 0.0329 max mem: 31630 Epoch: [25] [ 70/5278] eta: 3:58:53 lr: 2.0665573331734447e-05 loss: 0.0516 (0.0643) loss_seg: 0.0512 (0.0640) loss_lansim: 0.0326 (0.0328) loss_contra: 0.0003 (0.0021) time: 2.7522 data: 0.0291 max mem: 31630 Epoch: [25] [ 80/5278] eta: 3:58:31 lr: 2.0663221957687756e-05 loss: 0.0516 (0.0663) loss_seg: 0.0512 (0.0659) loss_lansim: 0.0327 (0.0330) loss_contra: 0.0003 (0.0026) time: 2.7533 data: 0.0262 max mem: 31630 Epoch: [25] [ 90/5278] eta: 3:57:33 lr: 2.0660870553910134e-05 loss: 0.0516 (0.0661) loss_seg: 0.0512 (0.0658) loss_lansim: 0.0327 (0.0329) loss_contra: 0.0003 (0.0025) time: 2.7473 data: 0.0239 max mem: 31630 Epoch: [25] [ 100/5278] eta: 3:56:55 lr: 2.0658519120397454e-05 loss: 0.0526 (0.0664) loss_seg: 0.0523 (0.0660) loss_lansim: 0.0327 (0.0331) loss_contra: 0.0004 (0.0037) time: 2.7278 data: 0.0055 max mem: 31630 Epoch: [25] [ 110/5278] eta: 3:55:59 lr: 2.0656167657145583e-05 loss: 0.0540 (0.0657) loss_seg: 0.0537 (0.0653) loss_lansim: 0.0325 (0.0330) loss_contra: 0.0004 (0.0038) time: 2.7244 data: 0.0056 max mem: 31630 Epoch: [25] [ 120/5278] eta: 3:55:31 lr: 2.065381616415038e-05 loss: 0.0538 (0.0639) loss_seg: 0.0534 (0.0635) loss_lansim: 0.0324 (0.0330) loss_contra: 0.0004 (0.0037) time: 2.7283 data: 0.0057 max mem: 31630 Epoch: [25] [ 130/5278] eta: 3:54:44 lr: 2.0651464641407702e-05 loss: 0.0528 (0.0633) loss_seg: 0.0525 (0.0630) loss_lansim: 0.0326 (0.0332) loss_contra: 0.0005 (0.0036) time: 2.7218 data: 0.0057 max mem: 31630 Epoch: [25] [ 140/5278] eta: 3:54:15 lr: 2.0649113088913412e-05 loss: 0.0528 (0.0628) loss_seg: 0.0524 (0.0625) loss_lansim: 0.0327 (0.0332) loss_contra: 0.0005 (0.0036) time: 2.7205 data: 0.0057 max mem: 31630 Epoch: [25] [ 150/5278] eta: 3:53:41 lr: 2.0646761506663373e-05 loss: 0.0526 (0.0624) loss_seg: 0.0522 (0.0620) loss_lansim: 0.0327 (0.0332) loss_contra: 0.0004 (0.0034) time: 2.7190 data: 0.0058 max mem: 31630 Epoch: [25] [ 160/5278] eta: 3:53:22 lr: 2.064440989465344e-05 loss: 0.0502 (0.0616) loss_seg: 0.0498 (0.0612) loss_lansim: 0.0328 (0.0333) loss_contra: 0.0004 (0.0033) time: 2.7238 data: 0.0056 max mem: 31630 Epoch: [25] [ 170/5278] eta: 3:52:45 lr: 2.0642058252879466e-05 loss: 0.0502 (0.0610) loss_seg: 0.0498 (0.0607) loss_lansim: 0.0328 (0.0333) loss_contra: 0.0004 (0.0031) time: 2.7213 data: 0.0056 max mem: 31630 Epoch: [25] [ 180/5278] eta: 3:52:18 lr: 2.0639706581337307e-05 loss: 0.0502 (0.0603) loss_seg: 0.0498 (0.0599) loss_lansim: 0.0329 (0.0333) loss_contra: 0.0003 (0.0030) time: 2.7185 data: 0.0056 max mem: 31630 Epoch: [25] [ 190/5278] eta: 3:51:51 lr: 2.063735488002282e-05 loss: 0.0493 (0.0593) loss_seg: 0.0489 (0.0589) loss_lansim: 0.0328 (0.0332) loss_contra: 0.0002 (0.0030) time: 2.7224 data: 0.0055 max mem: 31630 Epoch: [25] [ 200/5278] eta: 3:51:16 lr: 2.0635003148931868e-05 loss: 0.0490 (0.0589) loss_seg: 0.0487 (0.0585) loss_lansim: 0.0325 (0.0331) loss_contra: 0.0002 (0.0031) time: 2.7197 data: 0.0055 max mem: 31630 Epoch: [25] [ 210/5278] eta: 3:50:40 lr: 2.063265138806028e-05 loss: 0.0474 (0.0584) loss_seg: 0.0471 (0.0581) loss_lansim: 0.0332 (0.0332) loss_contra: 0.0002 (0.0030) time: 2.7210 data: 0.0056 max mem: 31630 Epoch: [25] [ 220/5278] eta: 3:50:04 lr: 2.0630299597403927e-05 loss: 0.0486 (0.0583) loss_seg: 0.0482 (0.0579) loss_lansim: 0.0335 (0.0333) loss_contra: 0.0002 (0.0029) time: 2.7169 data: 0.0056 max mem: 31630 Epoch: [25] [ 230/5278] eta: 3:49:35 lr: 2.062794777695865e-05 loss: 0.0483 (0.0580) loss_seg: 0.0479 (0.0576) loss_lansim: 0.0335 (0.0333) loss_contra: 0.0002 (0.0028) time: 2.7195 data: 0.0056 max mem: 31630 Epoch: [25] [ 240/5278] eta: 3:49:04 lr: 2.06255959267203e-05 loss: 0.0486 (0.0582) loss_seg: 0.0482 (0.0578) loss_lansim: 0.0334 (0.0333) loss_contra: 0.0002 (0.0027) time: 2.7179 data: 0.0057 max mem: 31630 Epoch: [25] [ 250/5278] eta: 3:48:31 lr: 2.0623244046684732e-05 loss: 0.0491 (0.0581) loss_seg: 0.0488 (0.0578) loss_lansim: 0.0334 (0.0334) loss_contra: 0.0002 (0.0026) time: 2.7163 data: 0.0057 max mem: 31630 Epoch: [25] [ 260/5278] eta: 3:48:04 lr: 2.0620892136847784e-05 loss: 0.0483 (0.0575) loss_seg: 0.0479 (0.0571) loss_lansim: 0.0331 (0.0333) loss_contra: 0.0002 (0.0025) time: 2.7128 data: 0.0058 max mem: 31630 Epoch: [25] [ 270/5278] eta: 3:47:39 lr: 2.0618540197205298e-05 loss: 0.0486 (0.0572) loss_seg: 0.0483 (0.0569) loss_lansim: 0.0332 (0.0334) loss_contra: 0.0002 (0.0025) time: 2.7162 data: 0.0059 max mem: 31630 Epoch: [25] [ 280/5278] eta: 3:47:06 lr: 2.0616188227753127e-05 loss: 0.0479 (0.0568) loss_seg: 0.0476 (0.0564) loss_lansim: 0.0337 (0.0335) loss_contra: 0.0002 (0.0024) time: 2.7124 data: 0.0060 max mem: 31630 Epoch: [25] [ 290/5278] eta: 3:46:43 lr: 2.0613836228487115e-05 loss: 0.0483 (0.0566) loss_seg: 0.0479 (0.0562) loss_lansim: 0.0337 (0.0335) loss_contra: 0.0002 (0.0024) time: 2.7136 data: 0.0062 max mem: 31630 Epoch: [25] [ 300/5278] eta: 3:46:09 lr: 2.06114841994031e-05 loss: 0.0476 (0.0561) loss_seg: 0.0472 (0.0558) loss_lansim: 0.0339 (0.0335) loss_contra: 0.0002 (0.0024) time: 2.7127 data: 0.0063 max mem: 31630 Epoch: [25] [ 310/5278] eta: 3:45:43 lr: 2.060913214049692e-05 loss: 0.0486 (0.0561) loss_seg: 0.0483 (0.0557) loss_lansim: 0.0342 (0.0336) loss_contra: 0.0002 (0.0024) time: 2.7163 data: 0.0063 max mem: 31630 Epoch: [25] [ 320/5278] eta: 3:45:12 lr: 2.0606780051764422e-05 loss: 0.0486 (0.0563) loss_seg: 0.0483 (0.0560) loss_lansim: 0.0342 (0.0336) loss_contra: 0.0002 (0.0023) time: 2.7170 data: 0.0062 max mem: 31630 Epoch: [25] [ 330/5278] eta: 3:44:48 lr: 2.0604427933201446e-05 loss: 0.0485 (0.0561) loss_seg: 0.0482 (0.0557) loss_lansim: 0.0342 (0.0336) loss_contra: 0.0002 (0.0023) time: 2.7199 data: 0.0061 max mem: 31630 Epoch: [25] [ 340/5278] eta: 3:44:14 lr: 2.060207578480382e-05 loss: 0.0472 (0.0561) loss_seg: 0.0469 (0.0557) loss_lansim: 0.0342 (0.0337) loss_contra: 0.0002 (0.0023) time: 2.7164 data: 0.0060 max mem: 31630 Epoch: [25] [ 350/5278] eta: 3:43:47 lr: 2.059972360656739e-05 loss: 0.0472 (0.0562) loss_seg: 0.0469 (0.0558) loss_lansim: 0.0345 (0.0337) loss_contra: 0.0003 (0.0023) time: 2.7185 data: 0.0059 max mem: 31630 Epoch: [25] [ 360/5278] eta: 3:43:16 lr: 2.0597371398487986e-05 loss: 0.0485 (0.0560) loss_seg: 0.0482 (0.0557) loss_lansim: 0.0345 (0.0337) loss_contra: 0.0002 (0.0023) time: 2.7159 data: 0.0058 max mem: 31630 Epoch: [25] [ 370/5278] eta: 3:42:50 lr: 2.059501916056145e-05 loss: 0.0478 (0.0560) loss_seg: 0.0474 (0.0556) loss_lansim: 0.0346 (0.0338) loss_contra: 0.0002 (0.0022) time: 2.7153 data: 0.0057 max mem: 31630 Epoch: [25] [ 380/5278] eta: 3:42:22 lr: 2.0592666892783606e-05 loss: 0.0496 (0.0559) loss_seg: 0.0493 (0.0556) loss_lansim: 0.0343 (0.0338) loss_contra: 0.0003 (0.0022) time: 2.7178 data: 0.0055 max mem: 31630 Epoch: [25] [ 390/5278] eta: 3:41:52 lr: 2.0590314595150292e-05 loss: 0.0496 (0.0559) loss_seg: 0.0493 (0.0556) loss_lansim: 0.0343 (0.0338) loss_contra: 0.0002 (0.0021) time: 2.7126 data: 0.0053 max mem: 31630 Epoch: [25] [ 400/5278] eta: 3:41:24 lr: 2.058796226765734e-05 loss: 0.0501 (0.0556) loss_seg: 0.0497 (0.0553) loss_lansim: 0.0343 (0.0338) loss_contra: 0.0002 (0.0021) time: 2.7154 data: 0.0053 max mem: 31630 Epoch: [25] [ 410/5278] eta: 3:40:50 lr: 2.0585609910300575e-05 loss: 0.0501 (0.0563) loss_seg: 0.0497 (0.0559) loss_lansim: 0.0342 (0.0339) loss_contra: 0.0002 (0.0021) time: 2.7090 data: 0.0053 max mem: 31630 Epoch: [25] [ 420/5278] eta: 3:40:26 lr: 2.0583257523075834e-05 loss: 0.0485 (0.0560) loss_seg: 0.0481 (0.0556) loss_lansim: 0.0340 (0.0339) loss_contra: 0.0002 (0.0021) time: 2.7131 data: 0.0053 max mem: 31630 Epoch: [25] [ 430/5278] eta: 3:39:55 lr: 2.0580905105978935e-05 loss: 0.0492 (0.0561) loss_seg: 0.0489 (0.0558) loss_lansim: 0.0340 (0.0339) loss_contra: 0.0002 (0.0021) time: 2.7080 data: 0.0053 max mem: 31630 Epoch: [25] [ 440/5278] eta: 3:39:28 lr: 2.057855265900571e-05 loss: 0.0496 (0.0561) loss_seg: 0.0492 (0.0558) loss_lansim: 0.0338 (0.0339) loss_contra: 0.0001 (0.0020) time: 2.7120 data: 0.0053 max mem: 31630 Epoch: [25] [ 450/5278] eta: 3:38:59 lr: 2.057620018215199e-05 loss: 0.0492 (0.0561) loss_seg: 0.0489 (0.0558) loss_lansim: 0.0337 (0.0339) loss_contra: 0.0002 (0.0020) time: 2.7102 data: 0.0054 max mem: 31630 Epoch: [25] [ 460/5278] eta: 3:38:34 lr: 2.057384767541359e-05 loss: 0.0492 (0.0561) loss_seg: 0.0488 (0.0558) loss_lansim: 0.0338 (0.0339) loss_contra: 0.0002 (0.0020) time: 2.7153 data: 0.0055 max mem: 31630 Epoch: [25] [ 470/5278] eta: 3:38:05 lr: 2.0571495138786336e-05 loss: 0.0496 (0.0561) loss_seg: 0.0492 (0.0557) loss_lansim: 0.0337 (0.0339) loss_contra: 0.0002 (0.0020) time: 2.7117 data: 0.0055 max mem: 31630 Epoch: [25] [ 480/5278] eta: 3:37:38 lr: 2.0569142572266055e-05 loss: 0.0503 (0.0561) loss_seg: 0.0499 (0.0557) loss_lansim: 0.0340 (0.0340) loss_contra: 0.0002 (0.0020) time: 2.7118 data: 0.0056 max mem: 31630 Epoch: [25] [ 490/5278] eta: 3:37:09 lr: 2.056678997584856e-05 loss: 0.0492 (0.0559) loss_seg: 0.0489 (0.0556) loss_lansim: 0.0341 (0.0340) loss_contra: 0.0002 (0.0020) time: 2.7133 data: 0.0056 max mem: 31630 Epoch: [25] [ 500/5278] eta: 3:36:43 lr: 2.0564437349529688e-05 loss: 0.0494 (0.0559) loss_seg: 0.0490 (0.0555) loss_lansim: 0.0341 (0.0340) loss_contra: 0.0002 (0.0019) time: 2.7147 data: 0.0056 max mem: 31630 Epoch: [25] [ 510/5278] eta: 3:36:16 lr: 2.0562084693305233e-05 loss: 0.0492 (0.0559) loss_seg: 0.0489 (0.0555) loss_lansim: 0.0340 (0.0340) loss_contra: 0.0002 (0.0019) time: 2.7194 data: 0.0056 max mem: 31630 Epoch: [25] [ 520/5278] eta: 3:35:47 lr: 2.055973200717103e-05 loss: 0.0494 (0.0558) loss_seg: 0.0490 (0.0554) loss_lansim: 0.0341 (0.0341) loss_contra: 0.0002 (0.0019) time: 2.7162 data: 0.0056 max mem: 31630 Epoch: [25] [ 530/5278] eta: 3:35:19 lr: 2.0557379291122893e-05 loss: 0.0492 (0.0558) loss_seg: 0.0488 (0.0554) loss_lansim: 0.0341 (0.0341) loss_contra: 0.0002 (0.0019) time: 2.7176 data: 0.0055 max mem: 31630 Epoch: [25] [ 540/5278] eta: 3:34:49 lr: 2.0555026545156642e-05 loss: 0.0487 (0.0556) loss_seg: 0.0482 (0.0552) loss_lansim: 0.0343 (0.0341) loss_contra: 0.0003 (0.0019) time: 2.7140 data: 0.0055 max mem: 31630 Epoch: [25] [ 550/5278] eta: 3:34:22 lr: 2.0552673769268076e-05 loss: 0.0465 (0.0554) loss_seg: 0.0461 (0.0550) loss_lansim: 0.0346 (0.0341) loss_contra: 0.0002 (0.0019) time: 2.7165 data: 0.0054 max mem: 31630 Epoch: [25] [ 560/5278] eta: 3:33:53 lr: 2.055032096345302e-05 loss: 0.0461 (0.0553) loss_seg: 0.0457 (0.0549) loss_lansim: 0.0347 (0.0342) loss_contra: 0.0002 (0.0019) time: 2.7109 data: 0.0053 max mem: 31630 Epoch: [25] [ 570/5278] eta: 3:33:27 lr: 2.0547968127707286e-05 loss: 0.0460 (0.0553) loss_seg: 0.0456 (0.0550) loss_lansim: 0.0347 (0.0342) loss_contra: 0.0001 (0.0019) time: 2.7149 data: 0.0053 max mem: 31630 Epoch: [25] [ 580/5278] eta: 3:32:56 lr: 2.054561526202669e-05 loss: 0.0460 (0.0553) loss_seg: 0.0454 (0.0550) loss_lansim: 0.0344 (0.0341) loss_contra: 0.0002 (0.0019) time: 2.7104 data: 0.0053 max mem: 31630 Epoch: [25] [ 590/5278] eta: 3:32:29 lr: 2.054326236640703e-05 loss: 0.0472 (0.0554) loss_seg: 0.0469 (0.0550) loss_lansim: 0.0343 (0.0341) loss_contra: 0.0002 (0.0019) time: 2.7109 data: 0.0052 max mem: 31630 Epoch: [25] [ 600/5278] eta: 3:32:00 lr: 2.0540909440844118e-05 loss: 0.0476 (0.0554) loss_seg: 0.0472 (0.0550) loss_lansim: 0.0342 (0.0342) loss_contra: 0.0002 (0.0019) time: 2.7069 data: 0.0053 max mem: 31630 Epoch: [25] [ 610/5278] eta: 3:31:33 lr: 2.0538556485333765e-05 loss: 0.0479 (0.0552) loss_seg: 0.0476 (0.0549) loss_lansim: 0.0349 (0.0342) loss_contra: 0.0001 (0.0018) time: 2.7074 data: 0.0053 max mem: 31630 Epoch: [25] [ 620/5278] eta: 3:31:03 lr: 2.0536203499871784e-05 loss: 0.0476 (0.0551) loss_seg: 0.0472 (0.0548) loss_lansim: 0.0344 (0.0342) loss_contra: 0.0001 (0.0018) time: 2.7045 data: 0.0053 max mem: 31630 Epoch: [25] [ 630/5278] eta: 3:30:35 lr: 2.053385048445397e-05 loss: 0.0476 (0.0550) loss_seg: 0.0472 (0.0546) loss_lansim: 0.0342 (0.0342) loss_contra: 0.0001 (0.0018) time: 2.7048 data: 0.0053 max mem: 31630 Epoch: [25] [ 640/5278] eta: 3:30:06 lr: 2.0531497439076127e-05 loss: 0.0484 (0.0549) loss_seg: 0.0480 (0.0546) loss_lansim: 0.0340 (0.0342) loss_contra: 0.0001 (0.0019) time: 2.7061 data: 0.0053 max mem: 31630 Epoch: [25] [ 650/5278] eta: 3:29:39 lr: 2.0529144363734064e-05 loss: 0.0507 (0.0552) loss_seg: 0.0503 (0.0548) loss_lansim: 0.0340 (0.0342) loss_contra: 0.0002 (0.0019) time: 2.7053 data: 0.0054 max mem: 31630 Epoch: [25] [ 660/5278] eta: 3:29:10 lr: 2.0526791258423583e-05 loss: 0.0513 (0.0552) loss_seg: 0.0508 (0.0549) loss_lansim: 0.0340 (0.0342) loss_contra: 0.0002 (0.0019) time: 2.7042 data: 0.0054 max mem: 31630 Epoch: [25] [ 670/5278] eta: 3:28:43 lr: 2.052443812314048e-05 loss: 0.0507 (0.0552) loss_seg: 0.0503 (0.0549) loss_lansim: 0.0340 (0.0343) loss_contra: 0.0002 (0.0019) time: 2.7023 data: 0.0054 max mem: 31630 Epoch: [25] [ 680/5278] eta: 3:28:16 lr: 2.0522084957880562e-05 loss: 0.0513 (0.0553) loss_seg: 0.0508 (0.0550) loss_lansim: 0.0344 (0.0343) loss_contra: 0.0002 (0.0019) time: 2.7069 data: 0.0055 max mem: 31630 Epoch: [25] [ 690/5278] eta: 3:27:48 lr: 2.0519731762639623e-05 loss: 0.0506 (0.0553) loss_seg: 0.0502 (0.0549) loss_lansim: 0.0349 (0.0344) loss_contra: 0.0003 (0.0019) time: 2.7060 data: 0.0055 max mem: 31630 Epoch: [25] [ 700/5278] eta: 3:27:23 lr: 2.0517378537413468e-05 loss: 0.0501 (0.0553) loss_seg: 0.0498 (0.0550) loss_lansim: 0.0345 (0.0344) loss_contra: 0.0003 (0.0018) time: 2.7116 data: 0.0055 max mem: 31630 Epoch: [25] [ 710/5278] eta: 3:26:54 lr: 2.0515025282197877e-05 loss: 0.0496 (0.0552) loss_seg: 0.0492 (0.0549) loss_lansim: 0.0347 (0.0344) loss_contra: 0.0003 (0.0018) time: 2.7091 data: 0.0055 max mem: 31630 Epoch: [25] [ 720/5278] eta: 3:26:27 lr: 2.051267199698866e-05 loss: 0.0506 (0.0553) loss_seg: 0.0502 (0.0550) loss_lansim: 0.0351 (0.0345) loss_contra: 0.0002 (0.0018) time: 2.7119 data: 0.0055 max mem: 31630 Epoch: [25] [ 730/5278] eta: 3:25:58 lr: 2.051031868178161e-05 loss: 0.0501 (0.0552) loss_seg: 0.0498 (0.0548) loss_lansim: 0.0349 (0.0344) loss_contra: 0.0003 (0.0018) time: 2.7104 data: 0.0055 max mem: 31630 Epoch: [25] [ 740/5278] eta: 3:25:31 lr: 2.0507965336572514e-05 loss: 0.0501 (0.0552) loss_seg: 0.0498 (0.0549) loss_lansim: 0.0357 (0.0345) loss_contra: 0.0003 (0.0018) time: 2.7128 data: 0.0055 max mem: 31630 Epoch: [25] [ 750/5278] eta: 3:25:02 lr: 2.050561196135717e-05 loss: 0.0497 (0.0553) loss_seg: 0.0493 (0.0549) loss_lansim: 0.0358 (0.0345) loss_contra: 0.0003 (0.0018) time: 2.7097 data: 0.0055 max mem: 31630 Epoch: [25] [ 760/5278] eta: 3:24:36 lr: 2.0503258556131366e-05 loss: 0.0500 (0.0553) loss_seg: 0.0496 (0.0549) loss_lansim: 0.0355 (0.0345) loss_contra: 0.0002 (0.0018) time: 2.7149 data: 0.0055 max mem: 31630 Epoch: [25] [ 770/5278] eta: 3:24:09 lr: 2.0500905120890893e-05 loss: 0.0499 (0.0553) loss_seg: 0.0495 (0.0549) loss_lansim: 0.0354 (0.0345) loss_contra: 0.0002 (0.0018) time: 2.7143 data: 0.0055 max mem: 31630 Epoch: [25] [ 780/5278] eta: 3:23:43 lr: 2.0498551655631534e-05 loss: 0.0492 (0.0553) loss_seg: 0.0488 (0.0549) loss_lansim: 0.0354 (0.0346) loss_contra: 0.0002 (0.0018) time: 2.7163 data: 0.0055 max mem: 31630 Epoch: [25] [ 790/5278] eta: 3:23:14 lr: 2.049619816034909e-05 loss: 0.0486 (0.0553) loss_seg: 0.0483 (0.0549) loss_lansim: 0.0354 (0.0346) loss_contra: 0.0002 (0.0018) time: 2.7136 data: 0.0055 max mem: 31630 Epoch: [25] [ 800/5278] eta: 3:22:48 lr: 2.0493844635039334e-05 loss: 0.0491 (0.0553) loss_seg: 0.0486 (0.0549) loss_lansim: 0.0355 (0.0346) loss_contra: 0.0002 (0.0017) time: 2.7122 data: 0.0055 max mem: 31630 Epoch: [25] [ 810/5278] eta: 3:22:19 lr: 2.0491491079698056e-05 loss: 0.0493 (0.0554) loss_seg: 0.0490 (0.0550) loss_lansim: 0.0355 (0.0347) loss_contra: 0.0002 (0.0017) time: 2.7108 data: 0.0055 max mem: 31630 Epoch: [25] [ 820/5278] eta: 3:21:51 lr: 2.048913749432104e-05 loss: 0.0492 (0.0553) loss_seg: 0.0488 (0.0550) loss_lansim: 0.0357 (0.0347) loss_contra: 0.0002 (0.0017) time: 2.7103 data: 0.0055 max mem: 31630 Epoch: [25] [ 830/5278] eta: 3:21:24 lr: 2.048678387890407e-05 loss: 0.0492 (0.0552) loss_seg: 0.0488 (0.0548) loss_lansim: 0.0365 (0.0347) loss_contra: 0.0002 (0.0017) time: 2.7120 data: 0.0055 max mem: 31630 Epoch: [25] [ 840/5278] eta: 3:20:57 lr: 2.048443023344293e-05 loss: 0.0492 (0.0553) loss_seg: 0.0488 (0.0549) loss_lansim: 0.0359 (0.0348) loss_contra: 0.0002 (0.0017) time: 2.7124 data: 0.0055 max mem: 31630 Epoch: [25] [ 850/5278] eta: 3:20:28 lr: 2.0482076557933395e-05 loss: 0.0492 (0.0552) loss_seg: 0.0488 (0.0548) loss_lansim: 0.0359 (0.0348) loss_contra: 0.0002 (0.0017) time: 2.7120 data: 0.0055 max mem: 31630 Epoch: [25] [ 860/5278] eta: 3:20:00 lr: 2.0479722852371244e-05 loss: 0.0491 (0.0551) loss_seg: 0.0486 (0.0548) loss_lansim: 0.0359 (0.0348) loss_contra: 0.0002 (0.0017) time: 2.7087 data: 0.0055 max mem: 31630 Epoch: [25] [ 870/5278] eta: 3:19:32 lr: 2.0477369116752267e-05 loss: 0.0486 (0.0551) loss_seg: 0.0483 (0.0547) loss_lansim: 0.0365 (0.0348) loss_contra: 0.0002 (0.0017) time: 2.7063 data: 0.0054 max mem: 31630 Epoch: [25] [ 880/5278] eta: 3:19:05 lr: 2.047501535107223e-05 loss: 0.0503 (0.0551) loss_seg: 0.0499 (0.0547) loss_lansim: 0.0359 (0.0348) loss_contra: 0.0002 (0.0017) time: 2.7039 data: 0.0054 max mem: 31630 Epoch: [25] [ 890/5278] eta: 3:18:35 lr: 2.0472661555326914e-05 loss: 0.0507 (0.0552) loss_seg: 0.0503 (0.0548) loss_lansim: 0.0360 (0.0348) loss_contra: 0.0002 (0.0017) time: 2.7021 data: 0.0054 max mem: 31630 Epoch: [25] [ 900/5278] eta: 3:18:09 lr: 2.0470307729512088e-05 loss: 0.0507 (0.0554) loss_seg: 0.0503 (0.0550) loss_lansim: 0.0360 (0.0349) loss_contra: 0.0002 (0.0017) time: 2.7020 data: 0.0054 max mem: 31630 Epoch: [25] [ 910/5278] eta: 3:17:40 lr: 2.046795387362354e-05 loss: 0.0507 (0.0554) loss_seg: 0.0503 (0.0550) loss_lansim: 0.0362 (0.0349) loss_contra: 0.0002 (0.0018) time: 2.7013 data: 0.0054 max mem: 31630 Epoch: [25] [ 920/5278] eta: 3:17:13 lr: 2.046559998765703e-05 loss: 0.0499 (0.0553) loss_seg: 0.0495 (0.0550) loss_lansim: 0.0360 (0.0349) loss_contra: 0.0002 (0.0018) time: 2.7034 data: 0.0054 max mem: 31630 Epoch: [25] [ 930/5278] eta: 3:16:44 lr: 2.0463246071608328e-05 loss: 0.0507 (0.0553) loss_seg: 0.0503 (0.0549) loss_lansim: 0.0360 (0.0349) loss_contra: 0.0002 (0.0018) time: 2.6987 data: 0.0054 max mem: 31630 Epoch: [25] [ 940/5278] eta: 3:16:18 lr: 2.0460892125473214e-05 loss: 0.0499 (0.0553) loss_seg: 0.0495 (0.0550) loss_lansim: 0.0360 (0.0349) loss_contra: 0.0002 (0.0017) time: 2.7004 data: 0.0054 max mem: 31630 Epoch: [25] [ 950/5278] eta: 3:15:51 lr: 2.0458538149247454e-05 loss: 0.0509 (0.0553) loss_seg: 0.0505 (0.0549) loss_lansim: 0.0358 (0.0349) loss_contra: 0.0002 (0.0017) time: 2.7036 data: 0.0054 max mem: 31630 Epoch: [25] [ 960/5278] eta: 3:15:23 lr: 2.0456184142926817e-05 loss: 0.0487 (0.0551) loss_seg: 0.0481 (0.0548) loss_lansim: 0.0358 (0.0349) loss_contra: 0.0002 (0.0017) time: 2.7038 data: 0.0054 max mem: 31630 Epoch: [25] [ 970/5278] eta: 3:14:54 lr: 2.0453830106507067e-05 loss: 0.0487 (0.0553) loss_seg: 0.0481 (0.0549) loss_lansim: 0.0358 (0.0349) loss_contra: 0.0003 (0.0017) time: 2.7023 data: 0.0054 max mem: 31630 Epoch: [25] [ 980/5278] eta: 3:14:26 lr: 2.045147603998397e-05 loss: 0.0493 (0.0553) loss_seg: 0.0489 (0.0549) loss_lansim: 0.0358 (0.0349) loss_contra: 0.0002 (0.0018) time: 2.7004 data: 0.0054 max mem: 31630 Epoch: [25] [ 990/5278] eta: 3:13:57 lr: 2.044912194335329e-05 loss: 0.0481 (0.0553) loss_seg: 0.0477 (0.0549) loss_lansim: 0.0360 (0.0350) loss_contra: 0.0003 (0.0018) time: 2.7005 data: 0.0054 max mem: 31630 Epoch: [25] [1000/5278] eta: 3:13:31 lr: 2.0446767816610805e-05 loss: 0.0482 (0.0553) loss_seg: 0.0478 (0.0549) loss_lansim: 0.0357 (0.0350) loss_contra: 0.0002 (0.0018) time: 2.7010 data: 0.0053 max mem: 31630 Epoch: [25] [1010/5278] eta: 3:13:03 lr: 2.044441365975226e-05 loss: 0.0482 (0.0554) loss_seg: 0.0478 (0.0550) loss_lansim: 0.0355 (0.0350) loss_contra: 0.0002 (0.0018) time: 2.7034 data: 0.0054 max mem: 31630 Epoch: [25] [1020/5278] eta: 3:12:35 lr: 2.044205947277342e-05 loss: 0.0482 (0.0554) loss_seg: 0.0478 (0.0550) loss_lansim: 0.0354 (0.0350) loss_contra: 0.0002 (0.0018) time: 2.7010 data: 0.0054 max mem: 31630 Epoch: [25] [1030/5278] eta: 3:12:08 lr: 2.0439705255670048e-05 loss: 0.0524 (0.0553) loss_seg: 0.0521 (0.0550) loss_lansim: 0.0352 (0.0350) loss_contra: 0.0002 (0.0018) time: 2.7051 data: 0.0053 max mem: 31630 Epoch: [25] [1040/5278] eta: 3:11:40 lr: 2.043735100843791e-05 loss: 0.0526 (0.0555) loss_seg: 0.0523 (0.0551) loss_lansim: 0.0347 (0.0350) loss_contra: 0.0003 (0.0018) time: 2.6991 data: 0.0053 max mem: 31630 Epoch: [25] [1050/5278] eta: 3:11:13 lr: 2.0434996731072753e-05 loss: 0.0514 (0.0554) loss_seg: 0.0511 (0.0550) loss_lansim: 0.0345 (0.0349) loss_contra: 0.0002 (0.0018) time: 2.6991 data: 0.0053 max mem: 31630 Epoch: [25] [1060/5278] eta: 3:10:45 lr: 2.0432642423570338e-05 loss: 0.0524 (0.0553) loss_seg: 0.0521 (0.0549) loss_lansim: 0.0345 (0.0349) loss_contra: 0.0002 (0.0018) time: 2.6990 data: 0.0053 max mem: 31630 Epoch: [25] [1070/5278] eta: 3:10:18 lr: 2.0430288085926417e-05 loss: 0.0511 (0.0552) loss_seg: 0.0507 (0.0548) loss_lansim: 0.0343 (0.0349) loss_contra: 0.0002 (0.0018) time: 2.7033 data: 0.0053 max mem: 31630 Epoch: [25] [1080/5278] eta: 3:09:49 lr: 2.042793371813676e-05 loss: 0.0507 (0.0552) loss_seg: 0.0503 (0.0548) loss_lansim: 0.0342 (0.0349) loss_contra: 0.0003 (0.0018) time: 2.7001 data: 0.0054 max mem: 31630 Epoch: [25] [1090/5278] eta: 3:09:22 lr: 2.04255793201971e-05 loss: 0.0507 (0.0552) loss_seg: 0.0503 (0.0549) loss_lansim: 0.0341 (0.0349) loss_contra: 0.0003 (0.0018) time: 2.7054 data: 0.0054 max mem: 31630 Epoch: [25] [1100/5278] eta: 3:08:54 lr: 2.0423224892103198e-05 loss: 0.0511 (0.0554) loss_seg: 0.0507 (0.0550) loss_lansim: 0.0338 (0.0349) loss_contra: 0.0002 (0.0018) time: 2.7003 data: 0.0053 max mem: 31630 Epoch: [25] [1110/5278] eta: 3:08:28 lr: 2.042087043385081e-05 loss: 0.0510 (0.0555) loss_seg: 0.0507 (0.0551) loss_lansim: 0.0337 (0.0349) loss_contra: 0.0003 (0.0018) time: 2.7040 data: 0.0053 max mem: 31630 Epoch: [25] [1120/5278] eta: 3:08:00 lr: 2.041851594543568e-05 loss: 0.0510 (0.0555) loss_seg: 0.0507 (0.0551) loss_lansim: 0.0338 (0.0349) loss_contra: 0.0003 (0.0018) time: 2.7026 data: 0.0053 max mem: 31630 Epoch: [25] [1130/5278] eta: 3:07:33 lr: 2.0416161426853563e-05 loss: 0.0507 (0.0555) loss_seg: 0.0503 (0.0551) loss_lansim: 0.0339 (0.0349) loss_contra: 0.0002 (0.0018) time: 2.7027 data: 0.0053 max mem: 31630 Epoch: [25] [1140/5278] eta: 3:07:05 lr: 2.0413806878100195e-05 loss: 0.0483 (0.0554) loss_seg: 0.0479 (0.0550) loss_lansim: 0.0336 (0.0349) loss_contra: 0.0002 (0.0018) time: 2.7038 data: 0.0053 max mem: 31630 Epoch: [25] [1150/5278] eta: 3:06:37 lr: 2.0411452299171334e-05 loss: 0.0478 (0.0553) loss_seg: 0.0474 (0.0549) loss_lansim: 0.0341 (0.0349) loss_contra: 0.0002 (0.0019) time: 2.7025 data: 0.0053 max mem: 31630 Epoch: [25] [1160/5278] eta: 3:06:09 lr: 2.0409097690062722e-05 loss: 0.0491 (0.0553) loss_seg: 0.0488 (0.0549) loss_lansim: 0.0339 (0.0349) loss_contra: 0.0003 (0.0020) time: 2.7015 data: 0.0053 max mem: 31630 Epoch: [25] [1170/5278] eta: 3:05:42 lr: 2.04067430507701e-05 loss: 0.0491 (0.0553) loss_seg: 0.0488 (0.0549) loss_lansim: 0.0342 (0.0349) loss_contra: 0.0004 (0.0020) time: 2.7004 data: 0.0053 max mem: 31630 Epoch: [25] [1180/5278] eta: 3:05:15 lr: 2.0404388381289216e-05 loss: 0.0507 (0.0553) loss_seg: 0.0503 (0.0549) loss_lansim: 0.0349 (0.0350) loss_contra: 0.0004 (0.0020) time: 2.7049 data: 0.0052 max mem: 31630 Epoch: [25] [1190/5278] eta: 3:04:48 lr: 2.0402033681615808e-05 loss: 0.0510 (0.0553) loss_seg: 0.0507 (0.0550) loss_lansim: 0.0351 (0.0350) loss_contra: 0.0005 (0.0021) time: 2.7054 data: 0.0053 max mem: 31630 Epoch: [25] [1200/5278] eta: 3:04:19 lr: 2.0399678951745627e-05 loss: 0.0489 (0.0553) loss_seg: 0.0482 (0.0549) loss_lansim: 0.0353 (0.0350) loss_contra: 0.0007 (0.0021) time: 2.7023 data: 0.0053 max mem: 31630 Epoch: [25] [1210/5278] eta: 3:03:52 lr: 2.0397324191674395e-05 loss: 0.0491 (0.0553) loss_seg: 0.0488 (0.0549) loss_lansim: 0.0354 (0.0350) loss_contra: 0.0008 (0.0021) time: 2.7002 data: 0.0053 max mem: 31630 Epoch: [25] [1220/5278] eta: 3:03:24 lr: 2.0394969401397864e-05 loss: 0.0482 (0.0553) loss_seg: 0.0477 (0.0549) loss_lansim: 0.0354 (0.0350) loss_contra: 0.0010 (0.0022) time: 2.7001 data: 0.0053 max mem: 31630 Epoch: [25] [1230/5278] eta: 3:02:57 lr: 2.0392614580911767e-05 loss: 0.0482 (0.0553) loss_seg: 0.0477 (0.0549) loss_lansim: 0.0354 (0.0350) loss_contra: 0.0010 (0.0022) time: 2.6994 data: 0.0053 max mem: 31630 Epoch: [25] [1240/5278] eta: 3:02:30 lr: 2.0390259730211842e-05 loss: 0.0482 (0.0552) loss_seg: 0.0478 (0.0549) loss_lansim: 0.0353 (0.0349) loss_contra: 0.0009 (0.0022) time: 2.7021 data: 0.0054 max mem: 31630 Epoch: [25] [1250/5278] eta: 3:02:03 lr: 2.038790484929383e-05 loss: 0.0492 (0.0552) loss_seg: 0.0488 (0.0548) loss_lansim: 0.0345 (0.0349) loss_contra: 0.0010 (0.0023) time: 2.7025 data: 0.0054 max mem: 31630 Epoch: [25] [1260/5278] eta: 3:01:36 lr: 2.038554993815345e-05 loss: 0.0482 (0.0551) loss_seg: 0.0478 (0.0548) loss_lansim: 0.0345 (0.0349) loss_contra: 0.0009 (0.0022) time: 2.7060 data: 0.0054 max mem: 31630 Epoch: [25] [1270/5278] eta: 3:01:08 lr: 2.0383194996786446e-05 loss: 0.0481 (0.0550) loss_seg: 0.0477 (0.0547) loss_lansim: 0.0342 (0.0349) loss_contra: 0.0006 (0.0022) time: 2.7040 data: 0.0055 max mem: 31630 Epoch: [25] [1280/5278] eta: 3:00:41 lr: 2.0380840025188543e-05 loss: 0.0456 (0.0549) loss_seg: 0.0452 (0.0545) loss_lansim: 0.0339 (0.0349) loss_contra: 0.0006 (0.0022) time: 2.7034 data: 0.0055 max mem: 31630 Epoch: [25] [1290/5278] eta: 3:00:13 lr: 2.0378485023355484e-05 loss: 0.0453 (0.0549) loss_seg: 0.0448 (0.0545) loss_lansim: 0.0338 (0.0349) loss_contra: 0.0006 (0.0022) time: 2.6988 data: 0.0055 max mem: 31630 Epoch: [25] [1300/5278] eta: 2:59:45 lr: 2.0376129991282986e-05 loss: 0.0453 (0.0548) loss_seg: 0.0448 (0.0544) loss_lansim: 0.0336 (0.0349) loss_contra: 0.0002 (0.0022) time: 2.7016 data: 0.0055 max mem: 31630 Epoch: [25] [1310/5278] eta: 2:59:18 lr: 2.037377492896678e-05 loss: 0.0440 (0.0548) loss_seg: 0.0437 (0.0545) loss_lansim: 0.0335 (0.0349) loss_contra: 0.0002 (0.0022) time: 2.7008 data: 0.0055 max mem: 31630 Epoch: [25] [1320/5278] eta: 2:58:49 lr: 2.037141983640259e-05 loss: 0.0446 (0.0549) loss_seg: 0.0443 (0.0545) loss_lansim: 0.0333 (0.0349) loss_contra: 0.0002 (0.0022) time: 2.6993 data: 0.0055 max mem: 31630 Epoch: [25] [1330/5278] eta: 2:58:22 lr: 2.036906471358616e-05 loss: 0.0434 (0.0549) loss_seg: 0.0430 (0.0545) loss_lansim: 0.0333 (0.0348) loss_contra: 0.0002 (0.0022) time: 2.6995 data: 0.0055 max mem: 31630 Epoch: [25] [1340/5278] eta: 2:57:55 lr: 2.0366709560513188e-05 loss: 0.0443 (0.0549) loss_seg: 0.0439 (0.0545) loss_lansim: 0.0332 (0.0348) loss_contra: 0.0002 (0.0022) time: 2.6999 data: 0.0055 max mem: 31630 Epoch: [25] [1350/5278] eta: 2:57:28 lr: 2.0364354377179416e-05 loss: 0.0443 (0.0549) loss_seg: 0.0439 (0.0545) loss_lansim: 0.0336 (0.0348) loss_contra: 0.0002 (0.0022) time: 2.7009 data: 0.0054 max mem: 31630 Epoch: [25] [1360/5278] eta: 2:57:01 lr: 2.0361999163580558e-05 loss: 0.0442 (0.0549) loss_seg: 0.0439 (0.0546) loss_lansim: 0.0337 (0.0349) loss_contra: 0.0002 (0.0022) time: 2.6978 data: 0.0054 max mem: 31630 Epoch: [25] [1370/5278] eta: 2:56:34 lr: 2.0359643919712347e-05 loss: 0.0468 (0.0549) loss_seg: 0.0465 (0.0546) loss_lansim: 0.0341 (0.0349) loss_contra: 0.0002 (0.0022) time: 2.7011 data: 0.0054 max mem: 31630 Epoch: [25] [1380/5278] eta: 2:56:07 lr: 2.0357288645570487e-05 loss: 0.0484 (0.0550) loss_seg: 0.0480 (0.0546) loss_lansim: 0.0346 (0.0349) loss_contra: 0.0002 (0.0022) time: 2.7014 data: 0.0054 max mem: 31630 Epoch: [25] [1390/5278] eta: 2:55:39 lr: 2.0354933341150703e-05 loss: 0.0478 (0.0549) loss_seg: 0.0475 (0.0546) loss_lansim: 0.0345 (0.0349) loss_contra: 0.0002 (0.0022) time: 2.7016 data: 0.0053 max mem: 31630 Epoch: [25] [1400/5278] eta: 2:55:12 lr: 2.0352578006448718e-05 loss: 0.0476 (0.0549) loss_seg: 0.0471 (0.0546) loss_lansim: 0.0350 (0.0349) loss_contra: 0.0002 (0.0022) time: 2.7053 data: 0.0054 max mem: 31630 Epoch: [25] [1410/5278] eta: 2:54:44 lr: 2.035022264146025e-05 loss: 0.0478 (0.0549) loss_seg: 0.0475 (0.0545) loss_lansim: 0.0354 (0.0349) loss_contra: 0.0002 (0.0022) time: 2.7029 data: 0.0053 max mem: 31630 Epoch: [25] [1420/5278] eta: 2:54:17 lr: 2.0347867246181004e-05 loss: 0.0476 (0.0548) loss_seg: 0.0471 (0.0545) loss_lansim: 0.0357 (0.0349) loss_contra: 0.0003 (0.0023) time: 2.7051 data: 0.0053 max mem: 31630 Epoch: [25] [1430/5278] eta: 2:53:50 lr: 2.0345511820606702e-05 loss: 0.0470 (0.0548) loss_seg: 0.0466 (0.0544) loss_lansim: 0.0358 (0.0349) loss_contra: 0.0003 (0.0023) time: 2.7065 data: 0.0053 max mem: 31630 Epoch: [25] [1440/5278] eta: 2:53:22 lr: 2.0343156364733053e-05 loss: 0.0470 (0.0548) loss_seg: 0.0466 (0.0544) loss_lansim: 0.0363 (0.0350) loss_contra: 0.0003 (0.0023) time: 2.7032 data: 0.0053 max mem: 31630 Epoch: [25] [1450/5278] eta: 2:52:55 lr: 2.034080087855578e-05 loss: 0.0463 (0.0548) loss_seg: 0.0458 (0.0544) loss_lansim: 0.0363 (0.0350) loss_contra: 0.0004 (0.0023) time: 2.7036 data: 0.0053 max mem: 31630 Epoch: [25] [1460/5278] eta: 2:52:27 lr: 2.033844536207058e-05 loss: 0.0463 (0.0547) loss_seg: 0.0458 (0.0544) loss_lansim: 0.0364 (0.0350) loss_contra: 0.0004 (0.0023) time: 2.7010 data: 0.0053 max mem: 31630 Epoch: [25] [1470/5278] eta: 2:52:01 lr: 2.0336089815273166e-05 loss: 0.0455 (0.0547) loss_seg: 0.0451 (0.0544) loss_lansim: 0.0365 (0.0350) loss_contra: 0.0005 (0.0024) time: 2.7020 data: 0.0053 max mem: 31630 Epoch: [25] [1480/5278] eta: 2:51:33 lr: 2.033373423815925e-05 loss: 0.0442 (0.0547) loss_seg: 0.0438 (0.0543) loss_lansim: 0.0369 (0.0351) loss_contra: 0.0005 (0.0024) time: 2.6990 data: 0.0053 max mem: 31630 Epoch: [25] [1490/5278] eta: 2:51:06 lr: 2.033137863072454e-05 loss: 0.0458 (0.0547) loss_seg: 0.0455 (0.0543) loss_lansim: 0.0371 (0.0351) loss_contra: 0.0005 (0.0024) time: 2.7027 data: 0.0053 max mem: 31630 Epoch: [25] [1500/5278] eta: 2:50:39 lr: 2.0329022992964745e-05 loss: 0.0463 (0.0547) loss_seg: 0.0459 (0.0543) loss_lansim: 0.0370 (0.0351) loss_contra: 0.0006 (0.0024) time: 2.7019 data: 0.0053 max mem: 31630 Epoch: [25] [1510/5278] eta: 2:50:11 lr: 2.0326667324875563e-05 loss: 0.0463 (0.0547) loss_seg: 0.0459 (0.0543) loss_lansim: 0.0371 (0.0351) loss_contra: 0.0007 (0.0024) time: 2.7032 data: 0.0053 max mem: 31630 Epoch: [25] [1520/5278] eta: 2:49:44 lr: 2.0324311626452698e-05 loss: 0.0471 (0.0547) loss_seg: 0.0466 (0.0543) loss_lansim: 0.0368 (0.0351) loss_contra: 0.0007 (0.0025) time: 2.7039 data: 0.0053 max mem: 31630 Epoch: [25] [1530/5278] eta: 2:49:17 lr: 2.0321955897691857e-05 loss: 0.0497 (0.0547) loss_seg: 0.0493 (0.0544) loss_lansim: 0.0369 (0.0351) loss_contra: 0.0007 (0.0025) time: 2.7034 data: 0.0053 max mem: 31630 Epoch: [25] [1540/5278] eta: 2:48:49 lr: 2.0319600138588743e-05 loss: 0.0475 (0.0547) loss_seg: 0.0471 (0.0543) loss_lansim: 0.0367 (0.0351) loss_contra: 0.0006 (0.0025) time: 2.7038 data: 0.0053 max mem: 31630 Epoch: [25] [1550/5278] eta: 2:48:22 lr: 2.031724434913905e-05 loss: 0.0475 (0.0547) loss_seg: 0.0471 (0.0543) loss_lansim: 0.0363 (0.0351) loss_contra: 0.0006 (0.0026) time: 2.7022 data: 0.0053 max mem: 31630 Epoch: [25] [1560/5278] eta: 2:47:55 lr: 2.0314888529338483e-05 loss: 0.0475 (0.0546) loss_seg: 0.0471 (0.0543) loss_lansim: 0.0363 (0.0352) loss_contra: 0.0006 (0.0026) time: 2.7036 data: 0.0053 max mem: 31630 Epoch: [25] [1570/5278] eta: 2:47:27 lr: 2.0312532679182737e-05 loss: 0.0475 (0.0546) loss_seg: 0.0471 (0.0543) loss_lansim: 0.0365 (0.0352) loss_contra: 0.0004 (0.0026) time: 2.6983 data: 0.0053 max mem: 31630 Epoch: [25] [1580/5278] eta: 2:46:59 lr: 2.0310176798667517e-05 loss: 0.0484 (0.0546) loss_seg: 0.0481 (0.0543) loss_lansim: 0.0367 (0.0352) loss_contra: 0.0004 (0.0026) time: 2.7007 data: 0.0053 max mem: 31630 Epoch: [25] [1590/5278] eta: 2:46:32 lr: 2.0307820887788504e-05 loss: 0.0498 (0.0546) loss_seg: 0.0493 (0.0543) loss_lansim: 0.0370 (0.0352) loss_contra: 0.0004 (0.0026) time: 2.6976 data: 0.0053 max mem: 31630 Epoch: [25] [1600/5278] eta: 2:46:05 lr: 2.0305464946541404e-05 loss: 0.0498 (0.0546) loss_seg: 0.0493 (0.0543) loss_lansim: 0.0370 (0.0352) loss_contra: 0.0004 (0.0026) time: 2.6994 data: 0.0054 max mem: 31630 Epoch: [25] [1610/5278] eta: 2:45:37 lr: 2.0303108974921902e-05 loss: 0.0501 (0.0546) loss_seg: 0.0496 (0.0542) loss_lansim: 0.0367 (0.0352) loss_contra: 0.0004 (0.0025) time: 2.6974 data: 0.0054 max mem: 31630 Epoch: [25] [1620/5278] eta: 2:45:11 lr: 2.0300752972925705e-05 loss: 0.0489 (0.0546) loss_seg: 0.0485 (0.0542) loss_lansim: 0.0370 (0.0352) loss_contra: 0.0004 (0.0026) time: 2.6993 data: 0.0054 max mem: 31630 Epoch: [25] [1630/5278] eta: 2:44:43 lr: 2.029839694054849e-05 loss: 0.0472 (0.0546) loss_seg: 0.0468 (0.0542) loss_lansim: 0.0373 (0.0353) loss_contra: 0.0004 (0.0025) time: 2.6962 data: 0.0054 max mem: 31630 Epoch: [25] [1640/5278] eta: 2:44:15 lr: 2.029604087778595e-05 loss: 0.0520 (0.0546) loss_seg: 0.0515 (0.0543) loss_lansim: 0.0370 (0.0353) loss_contra: 0.0003 (0.0025) time: 2.6964 data: 0.0054 max mem: 31630 Epoch: [25] [1650/5278] eta: 2:43:48 lr: 2.0293684784633776e-05 loss: 0.0520 (0.0547) loss_seg: 0.0517 (0.0543) loss_lansim: 0.0371 (0.0353) loss_contra: 0.0003 (0.0025) time: 2.6945 data: 0.0054 max mem: 31630 Epoch: [25] [1660/5278] eta: 2:43:21 lr: 2.029132866108766e-05 loss: 0.0523 (0.0547) loss_seg: 0.0519 (0.0543) loss_lansim: 0.0370 (0.0353) loss_contra: 0.0003 (0.0025) time: 2.6963 data: 0.0054 max mem: 31630 Epoch: [25] [1670/5278] eta: 2:42:54 lr: 2.028897250714328e-05 loss: 0.0520 (0.0547) loss_seg: 0.0515 (0.0543) loss_lansim: 0.0367 (0.0353) loss_contra: 0.0002 (0.0025) time: 2.6999 data: 0.0054 max mem: 31630 Epoch: [25] [1680/5278] eta: 2:42:27 lr: 2.0286616322796325e-05 loss: 0.0544 (0.0547) loss_seg: 0.0541 (0.0543) loss_lansim: 0.0364 (0.0353) loss_contra: 0.0002 (0.0025) time: 2.7014 data: 0.0054 max mem: 31630 Epoch: [25] [1690/5278] eta: 2:41:59 lr: 2.028426010804248e-05 loss: 0.0544 (0.0548) loss_seg: 0.0541 (0.0544) loss_lansim: 0.0361 (0.0353) loss_contra: 0.0002 (0.0025) time: 2.7026 data: 0.0053 max mem: 31630 Epoch: [25] [1700/5278] eta: 2:41:32 lr: 2.0281903862877428e-05 loss: 0.0544 (0.0548) loss_seg: 0.0541 (0.0544) loss_lansim: 0.0361 (0.0353) loss_contra: 0.0003 (0.0025) time: 2.6995 data: 0.0053 max mem: 31630 Epoch: [25] [1710/5278] eta: 2:41:05 lr: 2.0279547587296853e-05 loss: 0.0520 (0.0548) loss_seg: 0.0517 (0.0544) loss_lansim: 0.0361 (0.0353) loss_contra: 0.0003 (0.0025) time: 2.7006 data: 0.0053 max mem: 31630 Epoch: [25] [1720/5278] eta: 2:40:37 lr: 2.0277191281296425e-05 loss: 0.0544 (0.0548) loss_seg: 0.0541 (0.0544) loss_lansim: 0.0361 (0.0354) loss_contra: 0.0003 (0.0025) time: 2.6959 data: 0.0053 max mem: 31630 Epoch: [25] [1730/5278] eta: 2:40:10 lr: 2.0274834944871833e-05 loss: 0.0518 (0.0548) loss_seg: 0.0514 (0.0544) loss_lansim: 0.0360 (0.0354) loss_contra: 0.0003 (0.0025) time: 2.7010 data: 0.0053 max mem: 31630 Epoch: [25] [1740/5278] eta: 2:39:42 lr: 2.0272478578018755e-05 loss: 0.0512 (0.0548) loss_seg: 0.0507 (0.0544) loss_lansim: 0.0364 (0.0354) loss_contra: 0.0003 (0.0026) time: 2.6989 data: 0.0053 max mem: 31630 Epoch: [25] [1750/5278] eta: 2:39:16 lr: 2.027012218073287e-05 loss: 0.0515 (0.0549) loss_seg: 0.0507 (0.0545) loss_lansim: 0.0366 (0.0354) loss_contra: 0.0003 (0.0026) time: 2.7034 data: 0.0053 max mem: 31630 Epoch: [25] [1760/5278] eta: 2:38:48 lr: 2.0267765753009848e-05 loss: 0.0518 (0.0549) loss_seg: 0.0512 (0.0545) loss_lansim: 0.0367 (0.0354) loss_contra: 0.0003 (0.0026) time: 2.7017 data: 0.0053 max mem: 31630 Epoch: [25] [1770/5278] eta: 2:38:22 lr: 2.0265409294845368e-05 loss: 0.0522 (0.0550) loss_seg: 0.0516 (0.0546) loss_lansim: 0.0373 (0.0355) loss_contra: 0.0003 (0.0026) time: 2.7069 data: 0.0053 max mem: 31630 Epoch: [25] [1780/5278] eta: 2:37:56 lr: 2.02630528062351e-05 loss: 0.0510 (0.0549) loss_seg: 0.0505 (0.0546) loss_lansim: 0.0377 (0.0355) loss_contra: 0.0003 (0.0026) time: 2.7078 data: 0.0054 max mem: 31630 Epoch: [25] [1790/5278] eta: 2:37:29 lr: 2.026069628717472e-05 loss: 0.0508 (0.0550) loss_seg: 0.0505 (0.0546) loss_lansim: 0.0377 (0.0355) loss_contra: 0.0003 (0.0026) time: 2.7122 data: 0.0054 max mem: 31630 Epoch: [25] [1800/5278] eta: 2:37:02 lr: 2.025833973765989e-05 loss: 0.0511 (0.0550) loss_seg: 0.0506 (0.0547) loss_lansim: 0.0382 (0.0355) loss_contra: 0.0003 (0.0026) time: 2.7152 data: 0.0055 max mem: 31630 Epoch: [25] [1810/5278] eta: 2:36:35 lr: 2.0255983157686294e-05 loss: 0.0510 (0.0550) loss_seg: 0.0505 (0.0546) loss_lansim: 0.0382 (0.0355) loss_contra: 0.0003 (0.0026) time: 2.7174 data: 0.0055 max mem: 31630 Epoch: [25] [1820/5278] eta: 2:36:08 lr: 2.0253626547249596e-05 loss: 0.0503 (0.0549) loss_seg: 0.0499 (0.0546) loss_lansim: 0.0382 (0.0355) loss_contra: 0.0003 (0.0027) time: 2.7192 data: 0.0055 max mem: 31630 Epoch: [25] [1830/5278] eta: 2:35:41 lr: 2.0251269906345466e-05 loss: 0.0495 (0.0549) loss_seg: 0.0491 (0.0545) loss_lansim: 0.0382 (0.0355) loss_contra: 0.0003 (0.0027) time: 2.7161 data: 0.0055 max mem: 31630 Epoch: [25] [1840/5278] eta: 2:35:14 lr: 2.024891323496956e-05 loss: 0.0495 (0.0549) loss_seg: 0.0491 (0.0545) loss_lansim: 0.0379 (0.0356) loss_contra: 0.0003 (0.0027) time: 2.7193 data: 0.0055 max mem: 31630 Epoch: [25] [1850/5278] eta: 2:34:47 lr: 2.024655653311755e-05 loss: 0.0495 (0.0548) loss_seg: 0.0491 (0.0545) loss_lansim: 0.0373 (0.0356) loss_contra: 0.0003 (0.0026) time: 2.7172 data: 0.0055 max mem: 31630 Epoch: [25] [1860/5278] eta: 2:34:20 lr: 2.0244199800785103e-05 loss: 0.0482 (0.0548) loss_seg: 0.0478 (0.0544) loss_lansim: 0.0373 (0.0356) loss_contra: 0.0003 (0.0026) time: 2.7215 data: 0.0055 max mem: 31630 Epoch: [25] [1870/5278] eta: 2:33:53 lr: 2.0241843037967883e-05 loss: 0.0487 (0.0548) loss_seg: 0.0482 (0.0545) loss_lansim: 0.0373 (0.0356) loss_contra: 0.0004 (0.0026) time: 2.7159 data: 0.0055 max mem: 31630 Epoch: [25] [1880/5278] eta: 2:33:26 lr: 2.0239486244661543e-05 loss: 0.0490 (0.0549) loss_seg: 0.0486 (0.0545) loss_lansim: 0.0373 (0.0356) loss_contra: 0.0004 (0.0026) time: 2.7146 data: 0.0055 max mem: 31630 Epoch: [25] [1890/5278] eta: 2:32:59 lr: 2.023712942086175e-05 loss: 0.0490 (0.0549) loss_seg: 0.0486 (0.0545) loss_lansim: 0.0374 (0.0356) loss_contra: 0.0005 (0.0027) time: 2.7138 data: 0.0054 max mem: 31630 Epoch: [25] [1900/5278] eta: 2:32:32 lr: 2.023477256656416e-05 loss: 0.0482 (0.0549) loss_seg: 0.0478 (0.0546) loss_lansim: 0.0373 (0.0356) loss_contra: 0.0005 (0.0026) time: 2.7143 data: 0.0055 max mem: 31630 Epoch: [25] [1910/5278] eta: 2:32:05 lr: 2.0232415681764443e-05 loss: 0.0485 (0.0549) loss_seg: 0.0482 (0.0545) loss_lansim: 0.0373 (0.0356) loss_contra: 0.0005 (0.0026) time: 2.7120 data: 0.0055 max mem: 31630 Epoch: [25] [1920/5278] eta: 2:31:38 lr: 2.023005876645824e-05 loss: 0.0485 (0.0549) loss_seg: 0.0482 (0.0545) loss_lansim: 0.0378 (0.0357) loss_contra: 0.0004 (0.0026) time: 2.7127 data: 0.0054 max mem: 31630 Epoch: [25] [1930/5278] eta: 2:31:11 lr: 2.0227701820641212e-05 loss: 0.0490 (0.0548) loss_seg: 0.0486 (0.0545) loss_lansim: 0.0378 (0.0357) loss_contra: 0.0005 (0.0027) time: 2.7140 data: 0.0054 max mem: 31630 Epoch: [25] [1940/5278] eta: 2:30:45 lr: 2.022534484430902e-05 loss: 0.0493 (0.0549) loss_seg: 0.0489 (0.0545) loss_lansim: 0.0382 (0.0357) loss_contra: 0.0005 (0.0027) time: 2.7204 data: 0.0054 max mem: 31630 Epoch: [25] [1950/5278] eta: 2:30:17 lr: 2.022298783745731e-05 loss: 0.0493 (0.0549) loss_seg: 0.0489 (0.0545) loss_lansim: 0.0387 (0.0357) loss_contra: 0.0004 (0.0027) time: 2.7177 data: 0.0055 max mem: 31630 Epoch: [25] [1960/5278] eta: 2:29:51 lr: 2.0220630800081745e-05 loss: 0.0509 (0.0549) loss_seg: 0.0504 (0.0545) loss_lansim: 0.0388 (0.0358) loss_contra: 0.0004 (0.0027) time: 2.7190 data: 0.0055 max mem: 31630 Epoch: [25] [1970/5278] eta: 2:29:23 lr: 2.021827373217796e-05 loss: 0.0492 (0.0549) loss_seg: 0.0488 (0.0545) loss_lansim: 0.0390 (0.0358) loss_contra: 0.0003 (0.0027) time: 2.7161 data: 0.0055 max mem: 31630 Epoch: [25] [1980/5278] eta: 2:28:56 lr: 2.021591663374162e-05 loss: 0.0479 (0.0548) loss_seg: 0.0474 (0.0544) loss_lansim: 0.0390 (0.0358) loss_contra: 0.0003 (0.0027) time: 2.7160 data: 0.0055 max mem: 31630 Epoch: [25] [1990/5278] eta: 2:28:29 lr: 2.0213559504768363e-05 loss: 0.0492 (0.0548) loss_seg: 0.0488 (0.0545) loss_lansim: 0.0389 (0.0358) loss_contra: 0.0003 (0.0027) time: 2.7137 data: 0.0055 max mem: 31630 Epoch: [25] [2000/5278] eta: 2:28:02 lr: 2.0211202345253847e-05 loss: 0.0492 (0.0548) loss_seg: 0.0488 (0.0544) loss_lansim: 0.0391 (0.0359) loss_contra: 0.0003 (0.0027) time: 2.7107 data: 0.0054 max mem: 31630 Epoch: [25] [2010/5278] eta: 2:27:35 lr: 2.020884515519371e-05 loss: 0.0491 (0.0548) loss_seg: 0.0483 (0.0544) loss_lansim: 0.0396 (0.0359) loss_contra: 0.0003 (0.0027) time: 2.7148 data: 0.0054 max mem: 31630 Epoch: [25] [2020/5278] eta: 2:27:07 lr: 2.0206487934583602e-05 loss: 0.0491 (0.0548) loss_seg: 0.0483 (0.0545) loss_lansim: 0.0395 (0.0359) loss_contra: 0.0003 (0.0027) time: 2.7136 data: 0.0054 max mem: 31630 Epoch: [25] [2030/5278] eta: 2:26:41 lr: 2.0204130683419163e-05 loss: 0.0495 (0.0548) loss_seg: 0.0491 (0.0544) loss_lansim: 0.0396 (0.0359) loss_contra: 0.0003 (0.0026) time: 2.7145 data: 0.0055 max mem: 31630 Epoch: [25] [2040/5278] eta: 2:26:13 lr: 2.020177340169604e-05 loss: 0.0482 (0.0548) loss_seg: 0.0478 (0.0544) loss_lansim: 0.0392 (0.0359) loss_contra: 0.0003 (0.0026) time: 2.7061 data: 0.0054 max mem: 31630 Epoch: [25] [2050/5278] eta: 2:25:46 lr: 2.0199416089409873e-05 loss: 0.0481 (0.0548) loss_seg: 0.0477 (0.0544) loss_lansim: 0.0391 (0.0360) loss_contra: 0.0003 (0.0026) time: 2.7091 data: 0.0054 max mem: 31630 Epoch: [25] [2060/5278] eta: 2:25:19 lr: 2.0197058746556302e-05 loss: 0.0482 (0.0548) loss_seg: 0.0478 (0.0544) loss_lansim: 0.0389 (0.0360) loss_contra: 0.0003 (0.0026) time: 2.7059 data: 0.0053 max mem: 31630 Epoch: [25] [2070/5278] eta: 2:24:52 lr: 2.0194701373130964e-05 loss: 0.0479 (0.0548) loss_seg: 0.0474 (0.0544) loss_lansim: 0.0389 (0.0360) loss_contra: 0.0002 (0.0026) time: 2.7086 data: 0.0053 max mem: 31630 Epoch: [25] [2080/5278] eta: 2:24:25 lr: 2.0192343969129508e-05 loss: 0.0478 (0.0547) loss_seg: 0.0474 (0.0543) loss_lansim: 0.0385 (0.0360) loss_contra: 0.0002 (0.0026) time: 2.7080 data: 0.0053 max mem: 31630 Epoch: [25] [2090/5278] eta: 2:23:57 lr: 2.0189986534547558e-05 loss: 0.0468 (0.0547) loss_seg: 0.0463 (0.0543) loss_lansim: 0.0386 (0.0360) loss_contra: 0.0002 (0.0026) time: 2.7071 data: 0.0053 max mem: 31630 Epoch: [25] [2100/5278] eta: 2:23:31 lr: 2.0187629069380756e-05 loss: 0.0478 (0.0548) loss_seg: 0.0474 (0.0544) loss_lansim: 0.0385 (0.0360) loss_contra: 0.0002 (0.0026) time: 2.7105 data: 0.0053 max mem: 31630 Epoch: [25] [2110/5278] eta: 2:23:04 lr: 2.0185271573624734e-05 loss: 0.0479 (0.0547) loss_seg: 0.0474 (0.0544) loss_lansim: 0.0385 (0.0361) loss_contra: 0.0002 (0.0026) time: 2.7084 data: 0.0054 max mem: 31630 Epoch: [25] [2120/5278] eta: 2:22:36 lr: 2.0182914047275133e-05 loss: 0.0492 (0.0548) loss_seg: 0.0488 (0.0544) loss_lansim: 0.0395 (0.0361) loss_contra: 0.0002 (0.0026) time: 2.7100 data: 0.0053 max mem: 31630 Epoch: [25] [2130/5278] eta: 2:22:09 lr: 2.0180556490327574e-05 loss: 0.0492 (0.0548) loss_seg: 0.0488 (0.0544) loss_lansim: 0.0392 (0.0361) loss_contra: 0.0002 (0.0026) time: 2.7062 data: 0.0053 max mem: 31630 Epoch: [25] [2140/5278] eta: 2:21:42 lr: 2.0178198902777694e-05 loss: 0.0492 (0.0548) loss_seg: 0.0488 (0.0544) loss_lansim: 0.0398 (0.0362) loss_contra: 0.0002 (0.0026) time: 2.7111 data: 0.0053 max mem: 31630 Epoch: [25] [2150/5278] eta: 2:21:15 lr: 2.017584128462112e-05 loss: 0.0492 (0.0548) loss_seg: 0.0488 (0.0544) loss_lansim: 0.0406 (0.0362) loss_contra: 0.0002 (0.0026) time: 2.7082 data: 0.0053 max mem: 31630 Epoch: [25] [2160/5278] eta: 2:20:48 lr: 2.0173483635853487e-05 loss: 0.0488 (0.0548) loss_seg: 0.0483 (0.0544) loss_lansim: 0.0407 (0.0362) loss_contra: 0.0002 (0.0026) time: 2.7087 data: 0.0053 max mem: 31630 Epoch: [25] [2170/5278] eta: 2:20:20 lr: 2.0171125956470416e-05 loss: 0.0521 (0.0548) loss_seg: 0.0516 (0.0544) loss_lansim: 0.0408 (0.0362) loss_contra: 0.0002 (0.0026) time: 2.7055 data: 0.0053 max mem: 31630 Epoch: [25] [2180/5278] eta: 2:19:54 lr: 2.0168768246467538e-05 loss: 0.0525 (0.0548) loss_seg: 0.0521 (0.0544) loss_lansim: 0.0412 (0.0363) loss_contra: 0.0002 (0.0026) time: 2.7082 data: 0.0053 max mem: 31630 Epoch: [25] [2190/5278] eta: 2:19:26 lr: 2.016641050584047e-05 loss: 0.0521 (0.0548) loss_seg: 0.0516 (0.0545) loss_lansim: 0.0412 (0.0363) loss_contra: 0.0002 (0.0026) time: 2.7078 data: 0.0053 max mem: 31630 Epoch: [25] [2200/5278] eta: 2:18:59 lr: 2.0164052734584845e-05 loss: 0.0497 (0.0548) loss_seg: 0.0494 (0.0544) loss_lansim: 0.0414 (0.0363) loss_contra: 0.0003 (0.0026) time: 2.7045 data: 0.0053 max mem: 31630 Epoch: [25] [2210/5278] eta: 2:18:31 lr: 2.0161694932696287e-05 loss: 0.0514 (0.0548) loss_seg: 0.0511 (0.0544) loss_lansim: 0.0417 (0.0363) loss_contra: 0.0003 (0.0026) time: 2.6999 data: 0.0052 max mem: 31630 Epoch: [25] [2220/5278] eta: 2:18:04 lr: 2.0159337100170408e-05 loss: 0.0460 (0.0547) loss_seg: 0.0456 (0.0543) loss_lansim: 0.0411 (0.0364) loss_contra: 0.0002 (0.0026) time: 2.6991 data: 0.0052 max mem: 31630 Epoch: [25] [2230/5278] eta: 2:17:36 lr: 2.0156979237002834e-05 loss: 0.0460 (0.0548) loss_seg: 0.0456 (0.0544) loss_lansim: 0.0412 (0.0364) loss_contra: 0.0002 (0.0025) time: 2.6966 data: 0.0052 max mem: 31630 Epoch: [25] [2240/5278] eta: 2:17:09 lr: 2.015462134318918e-05 loss: 0.0462 (0.0548) loss_seg: 0.0458 (0.0544) loss_lansim: 0.0411 (0.0364) loss_contra: 0.0002 (0.0025) time: 2.6933 data: 0.0052 max mem: 31630 Epoch: [25] [2250/5278] eta: 2:16:42 lr: 2.0152263418725075e-05 loss: 0.0462 (0.0547) loss_seg: 0.0458 (0.0543) loss_lansim: 0.0416 (0.0364) loss_contra: 0.0002 (0.0025) time: 2.6932 data: 0.0052 max mem: 31630 Epoch: [25] [2260/5278] eta: 2:16:14 lr: 2.0149905463606125e-05 loss: 0.0462 (0.0548) loss_seg: 0.0458 (0.0544) loss_lansim: 0.0409 (0.0365) loss_contra: 0.0002 (0.0025) time: 2.6900 data: 0.0052 max mem: 31630 Epoch: [25] [2270/5278] eta: 2:15:47 lr: 2.0147547477827943e-05 loss: 0.0451 (0.0547) loss_seg: 0.0447 (0.0543) loss_lansim: 0.0409 (0.0365) loss_contra: 0.0003 (0.0025) time: 2.6911 data: 0.0052 max mem: 31630 Epoch: [25] [2280/5278] eta: 2:15:20 lr: 2.0145189461386153e-05 loss: 0.0454 (0.0548) loss_seg: 0.0450 (0.0544) loss_lansim: 0.0409 (0.0365) loss_contra: 0.0003 (0.0026) time: 2.6863 data: 0.0052 max mem: 31630 Epoch: [25] [2290/5278] eta: 2:14:52 lr: 2.014283141427637e-05 loss: 0.0472 (0.0548) loss_seg: 0.0468 (0.0544) loss_lansim: 0.0416 (0.0365) loss_contra: 0.0003 (0.0025) time: 2.6877 data: 0.0053 max mem: 31630 Epoch: [25] [2300/5278] eta: 2:14:25 lr: 2.014047333649419e-05 loss: 0.0472 (0.0548) loss_seg: 0.0468 (0.0544) loss_lansim: 0.0416 (0.0366) loss_contra: 0.0003 (0.0025) time: 2.6843 data: 0.0054 max mem: 31630 Epoch: [25] [2310/5278] eta: 2:13:58 lr: 2.0138115228035236e-05 loss: 0.0468 (0.0548) loss_seg: 0.0463 (0.0544) loss_lansim: 0.0416 (0.0366) loss_contra: 0.0003 (0.0026) time: 2.6904 data: 0.0054 max mem: 31630 Epoch: [25] [2320/5278] eta: 2:13:31 lr: 2.0135757088895115e-05 loss: 0.0501 (0.0548) loss_seg: 0.0497 (0.0544) loss_lansim: 0.0418 (0.0366) loss_contra: 0.0003 (0.0026) time: 2.6891 data: 0.0054 max mem: 31630 Epoch: [25] [2330/5278] eta: 2:13:04 lr: 2.013339891906944e-05 loss: 0.0487 (0.0548) loss_seg: 0.0482 (0.0544) loss_lansim: 0.0424 (0.0366) loss_contra: 0.0004 (0.0025) time: 2.6958 data: 0.0054 max mem: 31630 Epoch: [25] [2340/5278] eta: 2:12:37 lr: 2.0131040718553808e-05 loss: 0.0474 (0.0547) loss_seg: 0.0468 (0.0544) loss_lansim: 0.0424 (0.0367) loss_contra: 0.0003 (0.0025) time: 2.6959 data: 0.0056 max mem: 31630 Epoch: [25] [2350/5278] eta: 2:12:09 lr: 2.0128682487343835e-05 loss: 0.0468 (0.0547) loss_seg: 0.0464 (0.0543) loss_lansim: 0.0418 (0.0367) loss_contra: 0.0003 (0.0026) time: 2.6968 data: 0.0057 max mem: 31630 Epoch: [25] [2360/5278] eta: 2:11:42 lr: 2.0126324225435115e-05 loss: 0.0468 (0.0547) loss_seg: 0.0463 (0.0543) loss_lansim: 0.0418 (0.0367) loss_contra: 0.0003 (0.0026) time: 2.7001 data: 0.0057 max mem: 31630 Epoch: [25] [2370/5278] eta: 2:11:15 lr: 2.0123965932823266e-05 loss: 0.0468 (0.0548) loss_seg: 0.0464 (0.0544) loss_lansim: 0.0420 (0.0367) loss_contra: 0.0003 (0.0026) time: 2.7033 data: 0.0057 max mem: 31630 Epoch: [25] [2380/5278] eta: 2:10:48 lr: 2.0121607609503875e-05 loss: 0.0468 (0.0548) loss_seg: 0.0464 (0.0544) loss_lansim: 0.0417 (0.0367) loss_contra: 0.0004 (0.0026) time: 2.7061 data: 0.0057 max mem: 31630 Epoch: [25] [2390/5278] eta: 2:10:21 lr: 2.0119249255472553e-05 loss: 0.0468 (0.0548) loss_seg: 0.0464 (0.0544) loss_lansim: 0.0410 (0.0367) loss_contra: 0.0003 (0.0026) time: 2.7036 data: 0.0056 max mem: 31630 Epoch: [25] [2400/5278] eta: 2:09:54 lr: 2.0116890870724896e-05 loss: 0.0468 (0.0548) loss_seg: 0.0463 (0.0544) loss_lansim: 0.0409 (0.0368) loss_contra: 0.0003 (0.0026) time: 2.7049 data: 0.0056 max mem: 31630 Epoch: [25] [2410/5278] eta: 2:09:27 lr: 2.011453245525651e-05 loss: 0.0474 (0.0548) loss_seg: 0.0469 (0.0544) loss_lansim: 0.0409 (0.0368) loss_contra: 0.0003 (0.0027) time: 2.7029 data: 0.0056 max mem: 31630 Epoch: [25] [2420/5278] eta: 2:08:59 lr: 2.011217400906298e-05 loss: 0.0468 (0.0548) loss_seg: 0.0464 (0.0544) loss_lansim: 0.0397 (0.0368) loss_contra: 0.0003 (0.0026) time: 2.7044 data: 0.0057 max mem: 31630 Epoch: [25] [2430/5278] eta: 2:08:32 lr: 2.0109815532139907e-05 loss: 0.0496 (0.0548) loss_seg: 0.0490 (0.0544) loss_lansim: 0.0398 (0.0368) loss_contra: 0.0003 (0.0027) time: 2.7032 data: 0.0057 max mem: 31630 Epoch: [25] [2440/5278] eta: 2:08:06 lr: 2.0107457024482894e-05 loss: 0.0519 (0.0549) loss_seg: 0.0515 (0.0545) loss_lansim: 0.0398 (0.0368) loss_contra: 0.0003 (0.0027) time: 2.7075 data: 0.0056 max mem: 31630 Epoch: [25] [2450/5278] eta: 2:07:38 lr: 2.0105098486087522e-05 loss: 0.0519 (0.0548) loss_seg: 0.0515 (0.0545) loss_lansim: 0.0400 (0.0369) loss_contra: 0.0003 (0.0027) time: 2.7077 data: 0.0055 max mem: 31630 Epoch: [25] [2460/5278] eta: 2:07:11 lr: 2.0102739916949398e-05 loss: 0.0516 (0.0548) loss_seg: 0.0513 (0.0544) loss_lansim: 0.0400 (0.0369) loss_contra: 0.0002 (0.0027) time: 2.7073 data: 0.0055 max mem: 31630 Epoch: [25] [2470/5278] eta: 2:06:44 lr: 2.01003813170641e-05 loss: 0.0505 (0.0548) loss_seg: 0.0501 (0.0544) loss_lansim: 0.0400 (0.0369) loss_contra: 0.0002 (0.0027) time: 2.7017 data: 0.0056 max mem: 31630 Epoch: [25] [2480/5278] eta: 2:06:17 lr: 2.0098022686427227e-05 loss: 0.0517 (0.0549) loss_seg: 0.0513 (0.0545) loss_lansim: 0.0408 (0.0369) loss_contra: 0.0002 (0.0027) time: 2.7041 data: 0.0056 max mem: 31630 Epoch: [25] [2490/5278] eta: 2:05:50 lr: 2.009566402503436e-05 loss: 0.0505 (0.0549) loss_seg: 0.0500 (0.0545) loss_lansim: 0.0408 (0.0369) loss_contra: 0.0002 (0.0027) time: 2.7059 data: 0.0056 max mem: 31630 Epoch: [25] [2500/5278] eta: 2:05:23 lr: 2.0093305332881102e-05 loss: 0.0513 (0.0549) loss_seg: 0.0509 (0.0545) loss_lansim: 0.0414 (0.0370) loss_contra: 0.0002 (0.0026) time: 2.7071 data: 0.0056 max mem: 31630 Epoch: [25] [2510/5278] eta: 2:04:56 lr: 2.0090946609963025e-05 loss: 0.0513 (0.0549) loss_seg: 0.0509 (0.0545) loss_lansim: 0.0415 (0.0370) loss_contra: 0.0002 (0.0026) time: 2.7072 data: 0.0057 max mem: 31630 Epoch: [25] [2520/5278] eta: 2:04:28 lr: 2.0088587856275714e-05 loss: 0.0517 (0.0550) loss_seg: 0.0513 (0.0546) loss_lansim: 0.0426 (0.0370) loss_contra: 0.0002 (0.0026) time: 2.7078 data: 0.0056 max mem: 31630 Epoch: [25] [2530/5278] eta: 2:04:01 lr: 2.0086229071814764e-05 loss: 0.0505 (0.0550) loss_seg: 0.0500 (0.0546) loss_lansim: 0.0426 (0.0371) loss_contra: 0.0002 (0.0026) time: 2.7057 data: 0.0056 max mem: 31630 Epoch: [25] [2540/5278] eta: 2:03:34 lr: 2.0083870256575753e-05 loss: 0.0504 (0.0550) loss_seg: 0.0499 (0.0546) loss_lansim: 0.0426 (0.0371) loss_contra: 0.0002 (0.0026) time: 2.7014 data: 0.0055 max mem: 31630 Epoch: [25] [2550/5278] eta: 2:03:07 lr: 2.008151141055426e-05 loss: 0.0503 (0.0550) loss_seg: 0.0499 (0.0546) loss_lansim: 0.0426 (0.0371) loss_contra: 0.0002 (0.0026) time: 2.7009 data: 0.0055 max mem: 31630 Epoch: [25] [2560/5278] eta: 2:02:40 lr: 2.0079152533745866e-05 loss: 0.0505 (0.0550) loss_seg: 0.0501 (0.0546) loss_lansim: 0.0429 (0.0371) loss_contra: 0.0003 (0.0026) time: 2.7001 data: 0.0055 max mem: 31630 Epoch: [25] [2570/5278] eta: 2:02:12 lr: 2.0076793626146157e-05 loss: 0.0499 (0.0549) loss_seg: 0.0494 (0.0545) loss_lansim: 0.0424 (0.0372) loss_contra: 0.0003 (0.0027) time: 2.6996 data: 0.0054 max mem: 31630 Epoch: [25] [2580/5278] eta: 2:01:45 lr: 2.0074434687750707e-05 loss: 0.0486 (0.0549) loss_seg: 0.0482 (0.0545) loss_lansim: 0.0424 (0.0372) loss_contra: 0.0002 (0.0027) time: 2.6962 data: 0.0054 max mem: 31630 Epoch: [25] [2590/5278] eta: 2:01:18 lr: 2.007207571855509e-05 loss: 0.0499 (0.0549) loss_seg: 0.0494 (0.0545) loss_lansim: 0.0427 (0.0372) loss_contra: 0.0002 (0.0027) time: 2.6954 data: 0.0054 max mem: 31630 Epoch: [25] [2600/5278] eta: 2:00:50 lr: 2.006971671855488e-05 loss: 0.0502 (0.0549) loss_seg: 0.0497 (0.0545) loss_lansim: 0.0422 (0.0372) loss_contra: 0.0003 (0.0027) time: 2.6944 data: 0.0054 max mem: 31630 Epoch: [25] [2610/5278] eta: 2:00:24 lr: 2.006735768774566e-05 loss: 0.0499 (0.0549) loss_seg: 0.0494 (0.0545) loss_lansim: 0.0424 (0.0372) loss_contra: 0.0003 (0.0027) time: 2.6981 data: 0.0054 max mem: 31630 Epoch: [25] [2620/5278] eta: 1:59:56 lr: 2.0064998626123004e-05 loss: 0.0499 (0.0549) loss_seg: 0.0494 (0.0545) loss_lansim: 0.0427 (0.0373) loss_contra: 0.0003 (0.0027) time: 2.6961 data: 0.0054 max mem: 31630 Epoch: [25] [2630/5278] eta: 1:59:29 lr: 2.006263953368247e-05 loss: 0.0498 (0.0549) loss_seg: 0.0494 (0.0545) loss_lansim: 0.0425 (0.0373) loss_contra: 0.0002 (0.0027) time: 2.6965 data: 0.0054 max mem: 31630 Epoch: [25] [2640/5278] eta: 1:59:02 lr: 2.0060280410419644e-05 loss: 0.0492 (0.0550) loss_seg: 0.0488 (0.0546) loss_lansim: 0.0425 (0.0373) loss_contra: 0.0003 (0.0027) time: 2.6938 data: 0.0054 max mem: 31630 Epoch: [25] [2650/5278] eta: 1:58:35 lr: 2.0057921256330084e-05 loss: 0.0502 (0.0550) loss_seg: 0.0497 (0.0546) loss_lansim: 0.0427 (0.0373) loss_contra: 0.0002 (0.0027) time: 2.6955 data: 0.0054 max mem: 31630 Epoch: [25] [2660/5278] eta: 1:58:07 lr: 2.0055562071409374e-05 loss: 0.0487 (0.0549) loss_seg: 0.0483 (0.0545) loss_lansim: 0.0425 (0.0373) loss_contra: 0.0003 (0.0027) time: 2.6929 data: 0.0054 max mem: 31630 Epoch: [25] [2670/5278] eta: 1:57:40 lr: 2.0053202855653065e-05 loss: 0.0506 (0.0549) loss_seg: 0.0502 (0.0545) loss_lansim: 0.0427 (0.0374) loss_contra: 0.0003 (0.0027) time: 2.6975 data: 0.0054 max mem: 31630 Epoch: [25] [2680/5278] eta: 1:57:13 lr: 2.0050843609056725e-05 loss: 0.0534 (0.0549) loss_seg: 0.0530 (0.0545) loss_lansim: 0.0429 (0.0374) loss_contra: 0.0003 (0.0027) time: 2.6973 data: 0.0054 max mem: 31630 Epoch: [25] [2690/5278] eta: 1:56:46 lr: 2.004848433161593e-05 loss: 0.0539 (0.0550) loss_seg: 0.0534 (0.0546) loss_lansim: 0.0428 (0.0374) loss_contra: 0.0003 (0.0027) time: 2.7000 data: 0.0055 max mem: 31630 Epoch: [25] [2700/5278] eta: 1:56:19 lr: 2.0046125023326233e-05 loss: 0.0493 (0.0549) loss_seg: 0.0488 (0.0545) loss_lansim: 0.0431 (0.0374) loss_contra: 0.0003 (0.0027) time: 2.7012 data: 0.0055 max mem: 31630 Epoch: [25] [2710/5278] eta: 1:55:52 lr: 2.0043765684183206e-05 loss: 0.0495 (0.0549) loss_seg: 0.0491 (0.0545) loss_lansim: 0.0433 (0.0375) loss_contra: 0.0003 (0.0027) time: 2.6981 data: 0.0055 max mem: 31630 Epoch: [25] [2720/5278] eta: 1:55:25 lr: 2.0041406314182403e-05 loss: 0.0484 (0.0549) loss_seg: 0.0480 (0.0545) loss_lansim: 0.0435 (0.0375) loss_contra: 0.0003 (0.0027) time: 2.7001 data: 0.0055 max mem: 31630 Epoch: [25] [2730/5278] eta: 1:54:58 lr: 2.0039046913319382e-05 loss: 0.0493 (0.0549) loss_seg: 0.0488 (0.0545) loss_lansim: 0.0442 (0.0376) loss_contra: 0.0003 (0.0027) time: 2.6988 data: 0.0055 max mem: 31630 Epoch: [25] [2740/5278] eta: 1:54:31 lr: 2.0036687481589705e-05 loss: 0.0484 (0.0549) loss_seg: 0.0480 (0.0545) loss_lansim: 0.0445 (0.0376) loss_contra: 0.0003 (0.0027) time: 2.7021 data: 0.0055 max mem: 31630 Epoch: [25] [2750/5278] eta: 1:54:04 lr: 2.003432801898894e-05 loss: 0.0482 (0.0550) loss_seg: 0.0474 (0.0546) loss_lansim: 0.0445 (0.0376) loss_contra: 0.0003 (0.0027) time: 2.7022 data: 0.0055 max mem: 31630 Epoch: [25] [2760/5278] eta: 1:53:36 lr: 2.003196852551262e-05 loss: 0.0484 (0.0549) loss_seg: 0.0478 (0.0545) loss_lansim: 0.0445 (0.0376) loss_contra: 0.0003 (0.0027) time: 2.7046 data: 0.0055 max mem: 31630 Epoch: [25] [2770/5278] eta: 1:53:09 lr: 2.002960900115632e-05 loss: 0.0475 (0.0549) loss_seg: 0.0470 (0.0545) loss_lansim: 0.0450 (0.0377) loss_contra: 0.0003 (0.0027) time: 2.7051 data: 0.0055 max mem: 31630 Epoch: [25] [2780/5278] eta: 1:52:42 lr: 2.002724944591558e-05 loss: 0.0475 (0.0549) loss_seg: 0.0470 (0.0545) loss_lansim: 0.0450 (0.0377) loss_contra: 0.0004 (0.0027) time: 2.7070 data: 0.0054 max mem: 31630 Epoch: [25] [2790/5278] eta: 1:52:15 lr: 2.002488985978597e-05 loss: 0.0482 (0.0549) loss_seg: 0.0474 (0.0545) loss_lansim: 0.0450 (0.0377) loss_contra: 0.0004 (0.0027) time: 2.7022 data: 0.0053 max mem: 31630 Epoch: [25] [2800/5278] eta: 1:51:48 lr: 2.0022530242763023e-05 loss: 0.0484 (0.0550) loss_seg: 0.0477 (0.0546) loss_lansim: 0.0448 (0.0377) loss_contra: 0.0004 (0.0027) time: 2.7035 data: 0.0053 max mem: 31630 Epoch: [25] [2810/5278] eta: 1:51:21 lr: 2.0020170594842297e-05 loss: 0.0482 (0.0550) loss_seg: 0.0474 (0.0546) loss_lansim: 0.0441 (0.0378) loss_contra: 0.0004 (0.0027) time: 2.7001 data: 0.0054 max mem: 31630 Epoch: [25] [2820/5278] eta: 1:50:54 lr: 2.0017810916019343e-05 loss: 0.0488 (0.0549) loss_seg: 0.0483 (0.0545) loss_lansim: 0.0439 (0.0378) loss_contra: 0.0004 (0.0027) time: 2.7001 data: 0.0054 max mem: 31630 Epoch: [25] [2830/5278] eta: 1:50:26 lr: 2.0015451206289712e-05 loss: 0.0475 (0.0549) loss_seg: 0.0470 (0.0545) loss_lansim: 0.0439 (0.0378) loss_contra: 0.0004 (0.0027) time: 2.6987 data: 0.0054 max mem: 31630 Epoch: [25] [2840/5278] eta: 1:49:59 lr: 2.0013091465648938e-05 loss: 0.0475 (0.0549) loss_seg: 0.0470 (0.0545) loss_lansim: 0.0441 (0.0378) loss_contra: 0.0004 (0.0027) time: 2.7023 data: 0.0054 max mem: 31630 Epoch: [25] [2850/5278] eta: 1:49:32 lr: 2.0010731694092573e-05 loss: 0.0474 (0.0549) loss_seg: 0.0470 (0.0545) loss_lansim: 0.0447 (0.0379) loss_contra: 0.0004 (0.0027) time: 2.7003 data: 0.0054 max mem: 31630 Epoch: [25] [2860/5278] eta: 1:49:06 lr: 2.0008371891616164e-05 loss: 0.0472 (0.0549) loss_seg: 0.0468 (0.0544) loss_lansim: 0.0448 (0.0379) loss_contra: 0.0003 (0.0027) time: 2.7047 data: 0.0055 max mem: 31630 Epoch: [25] [2870/5278] eta: 1:48:38 lr: 2.0006012058215257e-05 loss: 0.0475 (0.0548) loss_seg: 0.0470 (0.0544) loss_lansim: 0.0443 (0.0379) loss_contra: 0.0003 (0.0027) time: 2.7041 data: 0.0055 max mem: 31630 Epoch: [25] [2880/5278] eta: 1:48:12 lr: 2.000365219388538e-05 loss: 0.0484 (0.0548) loss_seg: 0.0479 (0.0544) loss_lansim: 0.0444 (0.0379) loss_contra: 0.0003 (0.0027) time: 2.7059 data: 0.0055 max mem: 31630 Epoch: [25] [2890/5278] eta: 1:47:44 lr: 2.0001292298622085e-05 loss: 0.0472 (0.0548) loss_seg: 0.0468 (0.0544) loss_lansim: 0.0443 (0.0380) loss_contra: 0.0003 (0.0027) time: 2.7074 data: 0.0055 max mem: 31630 Epoch: [25] [2900/5278] eta: 1:47:17 lr: 1.9998932372420902e-05 loss: 0.0472 (0.0548) loss_seg: 0.0468 (0.0544) loss_lansim: 0.0444 (0.0380) loss_contra: 0.0003 (0.0027) time: 2.7067 data: 0.0055 max mem: 31630 Epoch: [25] [2910/5278] eta: 1:46:50 lr: 1.9996572415277385e-05 loss: 0.0472 (0.0548) loss_seg: 0.0467 (0.0544) loss_lansim: 0.0444 (0.0380) loss_contra: 0.0003 (0.0027) time: 2.7109 data: 0.0055 max mem: 31630 Epoch: [25] [2920/5278] eta: 1:46:23 lr: 1.9994212427187052e-05 loss: 0.0480 (0.0549) loss_seg: 0.0475 (0.0545) loss_lansim: 0.0447 (0.0380) loss_contra: 0.0003 (0.0027) time: 2.7104 data: 0.0054 max mem: 31630 Epoch: [25] [2930/5278] eta: 1:45:56 lr: 1.9991852408145448e-05 loss: 0.0486 (0.0549) loss_seg: 0.0481 (0.0545) loss_lansim: 0.0450 (0.0381) loss_contra: 0.0003 (0.0027) time: 2.7162 data: 0.0054 max mem: 31630 Epoch: [25] [2940/5278] eta: 1:45:29 lr: 1.9989492358148106e-05 loss: 0.0484 (0.0548) loss_seg: 0.0479 (0.0544) loss_lansim: 0.0451 (0.0381) loss_contra: 0.0003 (0.0027) time: 2.7094 data: 0.0055 max mem: 31630 Epoch: [25] [2950/5278] eta: 1:45:02 lr: 1.9987132277190558e-05 loss: 0.0488 (0.0548) loss_seg: 0.0482 (0.0544) loss_lansim: 0.0449 (0.0382) loss_contra: 0.0003 (0.0027) time: 2.7128 data: 0.0055 max mem: 31630 Epoch: [25] [2960/5278] eta: 1:44:35 lr: 1.998477216526834e-05 loss: 0.0499 (0.0548) loss_seg: 0.0495 (0.0544) loss_lansim: 0.0450 (0.0382) loss_contra: 0.0003 (0.0027) time: 2.7054 data: 0.0054 max mem: 31630 Epoch: [25] [2970/5278] eta: 1:44:08 lr: 1.9982412022376977e-05 loss: 0.0488 (0.0548) loss_seg: 0.0482 (0.0544) loss_lansim: 0.0454 (0.0382) loss_contra: 0.0003 (0.0027) time: 2.7084 data: 0.0054 max mem: 31630 Epoch: [25] [2980/5278] eta: 1:43:40 lr: 1.9980051848512e-05 loss: 0.0478 (0.0548) loss_seg: 0.0474 (0.0544) loss_lansim: 0.0464 (0.0383) loss_contra: 0.0003 (0.0029) time: 2.7027 data: 0.0055 max mem: 31630 Epoch: [25] [2990/5278] eta: 1:43:13 lr: 1.9977691643668935e-05 loss: 0.0482 (0.0549) loss_seg: 0.0476 (0.0544) loss_lansim: 0.0469 (0.0383) loss_contra: 0.0003 (0.0029) time: 2.7049 data: 0.0055 max mem: 31630 Epoch: [25] [3000/5278] eta: 1:42:46 lr: 1.9975331407843318e-05 loss: 0.0482 (0.0549) loss_seg: 0.0476 (0.0544) loss_lansim: 0.0470 (0.0383) loss_contra: 0.0003 (0.0029) time: 2.7045 data: 0.0055 max mem: 31630 Epoch: [25] [3010/5278] eta: 1:42:19 lr: 1.9972971141030665e-05 loss: 0.0484 (0.0549) loss_seg: 0.0479 (0.0545) loss_lansim: 0.0470 (0.0383) loss_contra: 0.0004 (0.0031) time: 2.7042 data: 0.0055 max mem: 31630 Epoch: [25] [3020/5278] eta: 1:41:52 lr: 1.99706108432265e-05 loss: 0.0478 (0.0549) loss_seg: 0.0474 (0.0545) loss_lansim: 0.0469 (0.0384) loss_contra: 0.0005 (0.0031) time: 2.7063 data: 0.0055 max mem: 31630 Epoch: [25] [3030/5278] eta: 1:41:25 lr: 1.9968250514426348e-05 loss: 0.0479 (0.0550) loss_seg: 0.0474 (0.0545) loss_lansim: 0.0469 (0.0384) loss_contra: 0.0005 (0.0031) time: 2.7016 data: 0.0056 max mem: 31630 Epoch: [25] [3040/5278] eta: 1:40:58 lr: 1.996589015462574e-05 loss: 0.0484 (0.0550) loss_seg: 0.0479 (0.0545) loss_lansim: 0.0470 (0.0384) loss_contra: 0.0006 (0.0031) time: 2.7048 data: 0.0055 max mem: 31630 Epoch: [25] [3050/5278] eta: 1:40:31 lr: 1.9963529763820182e-05 loss: 0.0482 (0.0549) loss_seg: 0.0476 (0.0545) loss_lansim: 0.0470 (0.0385) loss_contra: 0.0010 (0.0032) time: 2.7022 data: 0.0055 max mem: 31630 Epoch: [25] [3060/5278] eta: 1:40:04 lr: 1.9961169342005205e-05 loss: 0.0479 (0.0549) loss_seg: 0.0474 (0.0545) loss_lansim: 0.0470 (0.0385) loss_contra: 0.0010 (0.0032) time: 2.7082 data: 0.0055 max mem: 31630 Epoch: [25] [3070/5278] eta: 1:39:37 lr: 1.9958808889176317e-05 loss: 0.0506 (0.0549) loss_seg: 0.0499 (0.0545) loss_lansim: 0.0470 (0.0385) loss_contra: 0.0009 (0.0032) time: 2.7037 data: 0.0055 max mem: 31630 Epoch: [25] [3080/5278] eta: 1:39:10 lr: 1.995644840532905e-05 loss: 0.0511 (0.0549) loss_seg: 0.0504 (0.0545) loss_lansim: 0.0470 (0.0386) loss_contra: 0.0010 (0.0032) time: 2.7088 data: 0.0055 max mem: 31630 Epoch: [25] [3090/5278] eta: 1:38:43 lr: 1.99540878904589e-05 loss: 0.0511 (0.0549) loss_seg: 0.0504 (0.0545) loss_lansim: 0.0471 (0.0386) loss_contra: 0.0009 (0.0032) time: 2.7048 data: 0.0055 max mem: 31630 Epoch: [25] [3100/5278] eta: 1:38:16 lr: 1.9951727344561396e-05 loss: 0.0511 (0.0550) loss_seg: 0.0504 (0.0546) loss_lansim: 0.0481 (0.0386) loss_contra: 0.0009 (0.0031) time: 2.7077 data: 0.0055 max mem: 31630 Epoch: [25] [3110/5278] eta: 1:37:48 lr: 1.9949366767632044e-05 loss: 0.0515 (0.0550) loss_seg: 0.0509 (0.0545) loss_lansim: 0.0481 (0.0386) loss_contra: 0.0007 (0.0031) time: 2.7048 data: 0.0055 max mem: 31630 Epoch: [25] [3120/5278] eta: 1:37:22 lr: 1.9947006159666368e-05 loss: 0.0520 (0.0550) loss_seg: 0.0515 (0.0545) loss_lansim: 0.0483 (0.0387) loss_contra: 0.0007 (0.0032) time: 2.7066 data: 0.0055 max mem: 31630 Epoch: [25] [3130/5278] eta: 1:36:54 lr: 1.9944645520659862e-05 loss: 0.0515 (0.0550) loss_seg: 0.0510 (0.0545) loss_lansim: 0.0483 (0.0387) loss_contra: 0.0007 (0.0032) time: 2.7060 data: 0.0055 max mem: 31630 Epoch: [25] [3140/5278] eta: 1:36:27 lr: 1.9942284850608043e-05 loss: 0.0506 (0.0549) loss_seg: 0.0500 (0.0545) loss_lansim: 0.0481 (0.0387) loss_contra: 0.0005 (0.0032) time: 2.7056 data: 0.0054 max mem: 31630 Epoch: [25] [3150/5278] eta: 1:36:00 lr: 1.993992414950642e-05 loss: 0.0511 (0.0549) loss_seg: 0.0506 (0.0545) loss_lansim: 0.0475 (0.0388) loss_contra: 0.0004 (0.0032) time: 2.7048 data: 0.0054 max mem: 31630 Epoch: [25] [3160/5278] eta: 1:35:33 lr: 1.9937563417350507e-05 loss: 0.0515 (0.0550) loss_seg: 0.0509 (0.0545) loss_lansim: 0.0475 (0.0388) loss_contra: 0.0004 (0.0032) time: 2.7036 data: 0.0054 max mem: 31630 Epoch: [25] [3170/5278] eta: 1:35:06 lr: 1.9935202654135794e-05 loss: 0.0503 (0.0550) loss_seg: 0.0498 (0.0545) loss_lansim: 0.0475 (0.0388) loss_contra: 0.0004 (0.0032) time: 2.7056 data: 0.0054 max mem: 31630 Epoch: [25] [3180/5278] eta: 1:34:39 lr: 1.9932841859857794e-05 loss: 0.0514 (0.0550) loss_seg: 0.0508 (0.0546) loss_lansim: 0.0465 (0.0388) loss_contra: 0.0005 (0.0032) time: 2.7023 data: 0.0053 max mem: 31630 Epoch: [25] [3190/5278] eta: 1:34:12 lr: 1.993048103451201e-05 loss: 0.0511 (0.0550) loss_seg: 0.0505 (0.0546) loss_lansim: 0.0464 (0.0389) loss_contra: 0.0005 (0.0031) time: 2.7056 data: 0.0053 max mem: 31630 Epoch: [25] [3200/5278] eta: 1:33:45 lr: 1.9928120178093947e-05 loss: 0.0503 (0.0550) loss_seg: 0.0498 (0.0545) loss_lansim: 0.0462 (0.0389) loss_contra: 0.0004 (0.0031) time: 2.7041 data: 0.0053 max mem: 31630 Epoch: [25] [3210/5278] eta: 1:33:18 lr: 1.9925759290599107e-05 loss: 0.0503 (0.0550) loss_seg: 0.0498 (0.0545) loss_lansim: 0.0462 (0.0389) loss_contra: 0.0005 (0.0031) time: 2.7058 data: 0.0053 max mem: 31630 Epoch: [25] [3220/5278] eta: 1:32:51 lr: 1.992339837202298e-05 loss: 0.0503 (0.0550) loss_seg: 0.0498 (0.0546) loss_lansim: 0.0458 (0.0389) loss_contra: 0.0004 (0.0031) time: 2.7028 data: 0.0053 max mem: 31630 Epoch: [25] [3230/5278] eta: 1:32:23 lr: 1.9921037422361072e-05 loss: 0.0503 (0.0550) loss_seg: 0.0498 (0.0546) loss_lansim: 0.0450 (0.0389) loss_contra: 0.0003 (0.0031) time: 2.7027 data: 0.0053 max mem: 31630 Epoch: [25] [3240/5278] eta: 1:31:56 lr: 1.9918676441608878e-05 loss: 0.0506 (0.0550) loss_seg: 0.0501 (0.0546) loss_lansim: 0.0450 (0.0390) loss_contra: 0.0003 (0.0031) time: 2.7059 data: 0.0053 max mem: 31630 Epoch: [25] [3250/5278] eta: 1:31:29 lr: 1.9916315429761897e-05 loss: 0.0506 (0.0550) loss_seg: 0.0501 (0.0546) loss_lansim: 0.0449 (0.0390) loss_contra: 0.0003 (0.0031) time: 2.7089 data: 0.0053 max mem: 31630 Epoch: [25] [3260/5278] eta: 1:31:02 lr: 1.9913954386815617e-05 loss: 0.0512 (0.0550) loss_seg: 0.0507 (0.0546) loss_lansim: 0.0450 (0.0390) loss_contra: 0.0003 (0.0031) time: 2.7054 data: 0.0053 max mem: 31630 Epoch: [25] [3270/5278] eta: 1:30:35 lr: 1.9911593312765535e-05 loss: 0.0506 (0.0550) loss_seg: 0.0501 (0.0545) loss_lansim: 0.0449 (0.0390) loss_contra: 0.0003 (0.0031) time: 2.7082 data: 0.0054 max mem: 31630 Epoch: [25] [3280/5278] eta: 1:30:08 lr: 1.990923220760714e-05 loss: 0.0504 (0.0550) loss_seg: 0.0500 (0.0546) loss_lansim: 0.0452 (0.0390) loss_contra: 0.0003 (0.0031) time: 2.7070 data: 0.0054 max mem: 31630 Epoch: [25] [3290/5278] eta: 1:29:41 lr: 1.9906871071335934e-05 loss: 0.0503 (0.0550) loss_seg: 0.0498 (0.0546) loss_lansim: 0.0454 (0.0391) loss_contra: 0.0003 (0.0031) time: 2.7095 data: 0.0054 max mem: 31630 Epoch: [25] [3300/5278] eta: 1:29:14 lr: 1.9904509903947395e-05 loss: 0.0503 (0.0550) loss_seg: 0.0498 (0.0546) loss_lansim: 0.0454 (0.0391) loss_contra: 0.0002 (0.0031) time: 2.7038 data: 0.0054 max mem: 31630 Epoch: [25] [3310/5278] eta: 1:28:47 lr: 1.9902148705437013e-05 loss: 0.0503 (0.0550) loss_seg: 0.0498 (0.0546) loss_lansim: 0.0459 (0.0391) loss_contra: 0.0002 (0.0032) time: 2.7070 data: 0.0054 max mem: 31630 Epoch: [25] [3320/5278] eta: 1:28:20 lr: 1.9899787475800277e-05 loss: 0.0483 (0.0550) loss_seg: 0.0478 (0.0545) loss_lansim: 0.0450 (0.0391) loss_contra: 0.0002 (0.0032) time: 2.7068 data: 0.0054 max mem: 31630 Epoch: [25] [3330/5278] eta: 1:27:53 lr: 1.9897426215032678e-05 loss: 0.0498 (0.0550) loss_seg: 0.0494 (0.0546) loss_lansim: 0.0455 (0.0391) loss_contra: 0.0002 (0.0032) time: 2.7100 data: 0.0055 max mem: 31630 Epoch: [25] [3340/5278] eta: 1:27:26 lr: 1.9895064923129693e-05 loss: 0.0518 (0.0550) loss_seg: 0.0514 (0.0546) loss_lansim: 0.0453 (0.0391) loss_contra: 0.0002 (0.0032) time: 2.7098 data: 0.0055 max mem: 31630 Epoch: [25] [3350/5278] eta: 1:26:59 lr: 1.9892703600086805e-05 loss: 0.0484 (0.0550) loss_seg: 0.0479 (0.0545) loss_lansim: 0.0455 (0.0392) loss_contra: 0.0002 (0.0032) time: 2.7077 data: 0.0055 max mem: 31630 Epoch: [25] [3360/5278] eta: 1:26:32 lr: 1.98903422458995e-05 loss: 0.0474 (0.0550) loss_seg: 0.0469 (0.0545) loss_lansim: 0.0450 (0.0392) loss_contra: 0.0003 (0.0032) time: 2.7122 data: 0.0055 max mem: 31630 Epoch: [25] [3370/5278] eta: 1:26:05 lr: 1.9887980860563264e-05 loss: 0.0510 (0.0550) loss_seg: 0.0506 (0.0546) loss_lansim: 0.0454 (0.0392) loss_contra: 0.0003 (0.0032) time: 2.7069 data: 0.0055 max mem: 31630 Epoch: [25] [3380/5278] eta: 1:25:38 lr: 1.988561944407356e-05 loss: 0.0511 (0.0550) loss_seg: 0.0506 (0.0546) loss_lansim: 0.0453 (0.0392) loss_contra: 0.0004 (0.0032) time: 2.7103 data: 0.0055 max mem: 31630 Epoch: [25] [3390/5278] eta: 1:25:10 lr: 1.9883257996425882e-05 loss: 0.0524 (0.0550) loss_seg: 0.0519 (0.0546) loss_lansim: 0.0450 (0.0392) loss_contra: 0.0004 (0.0032) time: 2.7058 data: 0.0055 max mem: 31630 Epoch: [25] [3400/5278] eta: 1:24:43 lr: 1.9880896517615702e-05 loss: 0.0523 (0.0550) loss_seg: 0.0518 (0.0546) loss_lansim: 0.0453 (0.0393) loss_contra: 0.0005 (0.0032) time: 2.7115 data: 0.0054 max mem: 31630 Epoch: [25] [3410/5278] eta: 1:24:16 lr: 1.98785350076385e-05 loss: 0.0523 (0.0550) loss_seg: 0.0518 (0.0546) loss_lansim: 0.0446 (0.0393) loss_contra: 0.0005 (0.0032) time: 2.7049 data: 0.0055 max mem: 31630 Epoch: [25] [3420/5278] eta: 1:23:49 lr: 1.9876173466489742e-05 loss: 0.0529 (0.0551) loss_seg: 0.0523 (0.0546) loss_lansim: 0.0453 (0.0393) loss_contra: 0.0004 (0.0032) time: 2.7068 data: 0.0055 max mem: 31630 Epoch: [25] [3430/5278] eta: 1:23:22 lr: 1.9873811894164906e-05 loss: 0.0523 (0.0550) loss_seg: 0.0518 (0.0546) loss_lansim: 0.0449 (0.0393) loss_contra: 0.0004 (0.0032) time: 2.7019 data: 0.0055 max mem: 31630 Epoch: [25] [3440/5278] eta: 1:22:55 lr: 1.9871450290659462e-05 loss: 0.0519 (0.0550) loss_seg: 0.0514 (0.0546) loss_lansim: 0.0454 (0.0393) loss_contra: 0.0004 (0.0032) time: 2.7005 data: 0.0055 max mem: 31630 Epoch: [25] [3450/5278] eta: 1:22:28 lr: 1.9869088655968887e-05 loss: 0.0523 (0.0550) loss_seg: 0.0518 (0.0546) loss_lansim: 0.0454 (0.0394) loss_contra: 0.0005 (0.0032) time: 2.7008 data: 0.0055 max mem: 31630 Epoch: [25] [3460/5278] eta: 1:22:01 lr: 1.986672699008865e-05 loss: 0.0518 (0.0551) loss_seg: 0.0513 (0.0547) loss_lansim: 0.0456 (0.0394) loss_contra: 0.0004 (0.0032) time: 2.6989 data: 0.0055 max mem: 31630 Epoch: [25] [3470/5278] eta: 1:21:34 lr: 1.986436529301421e-05 loss: 0.0514 (0.0551) loss_seg: 0.0509 (0.0546) loss_lansim: 0.0463 (0.0394) loss_contra: 0.0006 (0.0032) time: 2.7015 data: 0.0055 max mem: 31630 Epoch: [25] [3480/5278] eta: 1:21:06 lr: 1.9862003564741036e-05 loss: 0.0490 (0.0550) loss_seg: 0.0484 (0.0546) loss_lansim: 0.0474 (0.0394) loss_contra: 0.0004 (0.0032) time: 2.6979 data: 0.0055 max mem: 31630 Epoch: [25] [3490/5278] eta: 1:20:40 lr: 1.98596418052646e-05 loss: 0.0488 (0.0550) loss_seg: 0.0483 (0.0546) loss_lansim: 0.0473 (0.0395) loss_contra: 0.0008 (0.0032) time: 2.7050 data: 0.0055 max mem: 31630 Epoch: [25] [3500/5278] eta: 1:20:12 lr: 1.985728001458037e-05 loss: 0.0490 (0.0551) loss_seg: 0.0484 (0.0546) loss_lansim: 0.0473 (0.0395) loss_contra: 0.0008 (0.0032) time: 2.7013 data: 0.0055 max mem: 31630 Epoch: [25] [3510/5278] eta: 1:19:45 lr: 1.9854918192683798e-05 loss: 0.0503 (0.0551) loss_seg: 0.0497 (0.0547) loss_lansim: 0.0475 (0.0395) loss_contra: 0.0008 (0.0032) time: 2.7064 data: 0.0054 max mem: 31630 Epoch: [25] [3520/5278] eta: 1:19:18 lr: 1.9852556339570352e-05 loss: 0.0500 (0.0551) loss_seg: 0.0493 (0.0547) loss_lansim: 0.0474 (0.0395) loss_contra: 0.0006 (0.0032) time: 2.7014 data: 0.0054 max mem: 31630 Epoch: [25] [3530/5278] eta: 1:18:51 lr: 1.9850194455235495e-05 loss: 0.0500 (0.0551) loss_seg: 0.0493 (0.0547) loss_lansim: 0.0477 (0.0396) loss_contra: 0.0008 (0.0031) time: 2.7093 data: 0.0055 max mem: 31630 Epoch: [25] [3540/5278] eta: 1:18:24 lr: 1.9847832539674687e-05 loss: 0.0500 (0.0551) loss_seg: 0.0493 (0.0547) loss_lansim: 0.0477 (0.0396) loss_contra: 0.0006 (0.0032) time: 2.7060 data: 0.0055 max mem: 31630 Epoch: [25] [3550/5278] eta: 1:17:57 lr: 1.9845470592883374e-05 loss: 0.0500 (0.0551) loss_seg: 0.0493 (0.0547) loss_lansim: 0.0480 (0.0396) loss_contra: 0.0005 (0.0032) time: 2.7075 data: 0.0055 max mem: 31630 Epoch: [25] [3560/5278] eta: 1:17:30 lr: 1.9843108614857027e-05 loss: 0.0503 (0.0551) loss_seg: 0.0497 (0.0547) loss_lansim: 0.0480 (0.0396) loss_contra: 0.0005 (0.0032) time: 2.7080 data: 0.0055 max mem: 31630 Epoch: [25] [3570/5278] eta: 1:17:03 lr: 1.9840746605591092e-05 loss: 0.0529 (0.0551) loss_seg: 0.0525 (0.0547) loss_lansim: 0.0480 (0.0397) loss_contra: 0.0005 (0.0032) time: 2.7077 data: 0.0055 max mem: 31630 Epoch: [25] [3580/5278] eta: 1:16:36 lr: 1.9838384565081035e-05 loss: 0.0539 (0.0551) loss_seg: 0.0534 (0.0547) loss_lansim: 0.0477 (0.0397) loss_contra: 0.0005 (0.0032) time: 2.7141 data: 0.0054 max mem: 31630 Epoch: [25] [3590/5278] eta: 1:16:09 lr: 1.9836022493322297e-05 loss: 0.0538 (0.0551) loss_seg: 0.0533 (0.0547) loss_lansim: 0.0480 (0.0397) loss_contra: 0.0005 (0.0032) time: 2.7060 data: 0.0055 max mem: 31630 Epoch: [25] [3600/5278] eta: 1:15:42 lr: 1.983366039031034e-05 loss: 0.0533 (0.0551) loss_seg: 0.0529 (0.0547) loss_lansim: 0.0477 (0.0397) loss_contra: 0.0004 (0.0032) time: 2.7103 data: 0.0055 max mem: 31630 Epoch: [25] [3610/5278] eta: 1:15:15 lr: 1.9831298256040603e-05 loss: 0.0519 (0.0551) loss_seg: 0.0500 (0.0547) loss_lansim: 0.0477 (0.0398) loss_contra: 0.0005 (0.0032) time: 2.7060 data: 0.0055 max mem: 31630 Epoch: [25] [3620/5278] eta: 1:14:48 lr: 1.982893609050855e-05 loss: 0.0519 (0.0551) loss_seg: 0.0500 (0.0547) loss_lansim: 0.0480 (0.0398) loss_contra: 0.0006 (0.0032) time: 2.7106 data: 0.0054 max mem: 31630 Epoch: [25] [3630/5278] eta: 1:14:20 lr: 1.982657389370962e-05 loss: 0.0525 (0.0551) loss_seg: 0.0517 (0.0547) loss_lansim: 0.0473 (0.0398) loss_contra: 0.0005 (0.0032) time: 2.7024 data: 0.0053 max mem: 31630 Epoch: [25] [3640/5278] eta: 1:13:53 lr: 1.982421166563926e-05 loss: 0.0526 (0.0551) loss_seg: 0.0521 (0.0547) loss_lansim: 0.0476 (0.0398) loss_contra: 0.0005 (0.0032) time: 2.7059 data: 0.0053 max mem: 31630 Epoch: [25] [3650/5278] eta: 1:13:26 lr: 1.9821849406292914e-05 loss: 0.0538 (0.0552) loss_seg: 0.0533 (0.0547) loss_lansim: 0.0468 (0.0398) loss_contra: 0.0006 (0.0033) time: 2.7040 data: 0.0053 max mem: 31630 Epoch: [25] [3660/5278] eta: 1:12:59 lr: 1.9819487115666035e-05 loss: 0.0549 (0.0552) loss_seg: 0.0544 (0.0548) loss_lansim: 0.0466 (0.0398) loss_contra: 0.0005 (0.0033) time: 2.7059 data: 0.0053 max mem: 31630 Epoch: [25] [3670/5278] eta: 1:12:32 lr: 1.981712479375406e-05 loss: 0.0528 (0.0552) loss_seg: 0.0524 (0.0547) loss_lansim: 0.0464 (0.0399) loss_contra: 0.0005 (0.0033) time: 2.7082 data: 0.0053 max mem: 31630 Epoch: [25] [3680/5278] eta: 1:12:05 lr: 1.9814762440552422e-05 loss: 0.0519 (0.0552) loss_seg: 0.0509 (0.0547) loss_lansim: 0.0464 (0.0399) loss_contra: 0.0004 (0.0033) time: 2.7024 data: 0.0053 max mem: 31630 Epoch: [25] [3690/5278] eta: 1:11:38 lr: 1.981240005605658e-05 loss: 0.0531 (0.0552) loss_seg: 0.0527 (0.0548) loss_lansim: 0.0464 (0.0399) loss_contra: 0.0004 (0.0032) time: 2.7079 data: 0.0053 max mem: 31630 Epoch: [25] [3700/5278] eta: 1:11:11 lr: 1.9810037640261962e-05 loss: 0.0553 (0.0552) loss_seg: 0.0547 (0.0548) loss_lansim: 0.0464 (0.0399) loss_contra: 0.0003 (0.0032) time: 2.7064 data: 0.0053 max mem: 31630 Epoch: [25] [3710/5278] eta: 1:10:44 lr: 1.980767519316401e-05 loss: 0.0555 (0.0553) loss_seg: 0.0549 (0.0549) loss_lansim: 0.0464 (0.0400) loss_contra: 0.0003 (0.0032) time: 2.7147 data: 0.0053 max mem: 31630 Epoch: [25] [3720/5278] eta: 1:10:17 lr: 1.9805312714758156e-05 loss: 0.0553 (0.0553) loss_seg: 0.0548 (0.0549) loss_lansim: 0.0466 (0.0400) loss_contra: 0.0003 (0.0032) time: 2.7128 data: 0.0053 max mem: 31630 Epoch: [25] [3730/5278] eta: 1:09:50 lr: 1.980295020503984e-05 loss: 0.0553 (0.0553) loss_seg: 0.0548 (0.0549) loss_lansim: 0.0471 (0.0400) loss_contra: 0.0003 (0.0032) time: 2.7209 data: 0.0054 max mem: 31630 Epoch: [25] [3740/5278] eta: 1:09:23 lr: 1.9800587664004492e-05 loss: 0.0542 (0.0553) loss_seg: 0.0538 (0.0549) loss_lansim: 0.0466 (0.0400) loss_contra: 0.0003 (0.0032) time: 2.7191 data: 0.0055 max mem: 31630 Epoch: [25] [3750/5278] eta: 1:08:56 lr: 1.979822509164755e-05 loss: 0.0528 (0.0553) loss_seg: 0.0524 (0.0549) loss_lansim: 0.0475 (0.0400) loss_contra: 0.0003 (0.0032) time: 2.7244 data: 0.0056 max mem: 31630 Epoch: [25] [3760/5278] eta: 1:08:29 lr: 1.9795862487964447e-05 loss: 0.0512 (0.0553) loss_seg: 0.0503 (0.0549) loss_lansim: 0.0476 (0.0401) loss_contra: 0.0003 (0.0032) time: 2.7224 data: 0.0056 max mem: 31630 Epoch: [25] [3770/5278] eta: 1:08:02 lr: 1.97934998529506e-05 loss: 0.0526 (0.0553) loss_seg: 0.0522 (0.0549) loss_lansim: 0.0479 (0.0401) loss_contra: 0.0003 (0.0032) time: 2.7181 data: 0.0057 max mem: 31630 Epoch: [25] [3780/5278] eta: 1:07:35 lr: 1.9791137186601452e-05 loss: 0.0533 (0.0554) loss_seg: 0.0529 (0.0549) loss_lansim: 0.0486 (0.0401) loss_contra: 0.0003 (0.0032) time: 2.7176 data: 0.0058 max mem: 31630 Epoch: [25] [3790/5278] eta: 1:07:08 lr: 1.9788774488912433e-05 loss: 0.0509 (0.0553) loss_seg: 0.0503 (0.0549) loss_lansim: 0.0488 (0.0402) loss_contra: 0.0003 (0.0032) time: 2.7169 data: 0.0058 max mem: 31630 Epoch: [25] [3800/5278] eta: 1:06:41 lr: 1.9786411759878953e-05 loss: 0.0505 (0.0553) loss_seg: 0.0499 (0.0549) loss_lansim: 0.0495 (0.0402) loss_contra: 0.0003 (0.0032) time: 2.7196 data: 0.0059 max mem: 31630 Epoch: [25] [3810/5278] eta: 1:06:14 lr: 1.9784048999496452e-05 loss: 0.0492 (0.0553) loss_seg: 0.0487 (0.0549) loss_lansim: 0.0510 (0.0403) loss_contra: 0.0004 (0.0032) time: 2.7147 data: 0.0060 max mem: 31630 Epoch: [25] [3820/5278] eta: 1:05:47 lr: 1.978168620776035e-05 loss: 0.0495 (0.0553) loss_seg: 0.0490 (0.0549) loss_lansim: 0.0519 (0.0403) loss_contra: 0.0005 (0.0032) time: 2.7130 data: 0.0060 max mem: 31630 Epoch: [25] [3830/5278] eta: 1:05:20 lr: 1.977932338466607e-05 loss: 0.0492 (0.0553) loss_seg: 0.0487 (0.0549) loss_lansim: 0.0532 (0.0404) loss_contra: 0.0005 (0.0032) time: 2.7107 data: 0.0060 max mem: 31630 Epoch: [25] [3840/5278] eta: 1:04:53 lr: 1.977696053020903e-05 loss: 0.0492 (0.0553) loss_seg: 0.0487 (0.0549) loss_lansim: 0.0553 (0.0405) loss_contra: 0.0006 (0.0032) time: 2.7116 data: 0.0060 max mem: 31630 Epoch: [25] [3850/5278] eta: 1:04:25 lr: 1.9774597644384652e-05 loss: 0.0495 (0.0553) loss_seg: 0.0488 (0.0549) loss_lansim: 0.0563 (0.0405) loss_contra: 0.0006 (0.0033) time: 2.7048 data: 0.0060 max mem: 31630 Epoch: [25] [3860/5278] eta: 1:03:58 lr: 1.9772234727188356e-05 loss: 0.0487 (0.0553) loss_seg: 0.0481 (0.0549) loss_lansim: 0.0585 (0.0406) loss_contra: 0.0006 (0.0033) time: 2.6965 data: 0.0060 max mem: 31630 Epoch: [25] [3870/5278] eta: 1:03:31 lr: 1.9769871778615564e-05 loss: 0.0486 (0.0553) loss_seg: 0.0478 (0.0549) loss_lansim: 0.0591 (0.0406) loss_contra: 0.0006 (0.0033) time: 2.6908 data: 0.0060 max mem: 31630 Epoch: [25] [3880/5278] eta: 1:03:03 lr: 1.9767508798661683e-05 loss: 0.0480 (0.0553) loss_seg: 0.0475 (0.0549) loss_lansim: 0.0600 (0.0407) loss_contra: 0.0006 (0.0033) time: 2.6853 data: 0.0060 max mem: 31630 Epoch: [25] [3890/5278] eta: 1:02:36 lr: 1.976514578732213e-05 loss: 0.0482 (0.0553) loss_seg: 0.0476 (0.0549) loss_lansim: 0.0603 (0.0407) loss_contra: 0.0006 (0.0033) time: 2.6764 data: 0.0059 max mem: 31630 Epoch: [25] [3900/5278] eta: 1:02:09 lr: 1.9762782744592326e-05 loss: 0.0495 (0.0553) loss_seg: 0.0488 (0.0549) loss_lansim: 0.0608 (0.0408) loss_contra: 0.0006 (0.0033) time: 2.6655 data: 0.0059 max mem: 31630 Epoch: [25] [3910/5278] eta: 1:01:41 lr: 1.9760419670467683e-05 loss: 0.0486 (0.0553) loss_seg: 0.0478 (0.0548) loss_lansim: 0.0597 (0.0408) loss_contra: 0.0006 (0.0033) time: 2.6582 data: 0.0058 max mem: 31630 Epoch: [25] [3920/5278] eta: 1:01:14 lr: 1.9758056564943603e-05 loss: 0.0480 (0.0553) loss_seg: 0.0473 (0.0548) loss_lansim: 0.0585 (0.0408) loss_contra: 0.0006 (0.0033) time: 2.6532 data: 0.0058 max mem: 31630 Epoch: [25] [3930/5278] eta: 1:00:47 lr: 1.9755693428015498e-05 loss: 0.0452 (0.0552) loss_seg: 0.0446 (0.0548) loss_lansim: 0.0568 (0.0409) loss_contra: 0.0006 (0.0033) time: 2.6446 data: 0.0057 max mem: 31630 Epoch: [25] [3940/5278] eta: 1:00:19 lr: 1.9753330259678785e-05 loss: 0.0480 (0.0553) loss_seg: 0.0475 (0.0548) loss_lansim: 0.0564 (0.0409) loss_contra: 0.0006 (0.0033) time: 2.6359 data: 0.0057 max mem: 31630 Epoch: [25] [3950/5278] eta: 0:59:52 lr: 1.9750967059928863e-05 loss: 0.0479 (0.0552) loss_seg: 0.0473 (0.0548) loss_lansim: 0.0562 (0.0410) loss_contra: 0.0005 (0.0033) time: 2.6305 data: 0.0057 max mem: 31630 Epoch: [25] [3960/5278] eta: 0:59:25 lr: 1.9748603828761146e-05 loss: 0.0464 (0.0552) loss_seg: 0.0457 (0.0548) loss_lansim: 0.0559 (0.0410) loss_contra: 0.0004 (0.0033) time: 2.6314 data: 0.0058 max mem: 31630 Epoch: [25] [3970/5278] eta: 0:58:58 lr: 1.9746240566171032e-05 loss: 0.0464 (0.0553) loss_seg: 0.0460 (0.0548) loss_lansim: 0.0559 (0.0410) loss_contra: 0.0005 (0.0033) time: 2.6329 data: 0.0058 max mem: 31630 Epoch: [25] [3980/5278] eta: 0:58:30 lr: 1.9743877272153925e-05 loss: 0.0464 (0.0552) loss_seg: 0.0457 (0.0548) loss_lansim: 0.0559 (0.0411) loss_contra: 0.0005 (0.0033) time: 2.6339 data: 0.0059 max mem: 31630 Epoch: [25] [3990/5278] eta: 0:58:03 lr: 1.9741513946705228e-05 loss: 0.0464 (0.0552) loss_seg: 0.0457 (0.0548) loss_lansim: 0.0559 (0.0411) loss_contra: 0.0005 (0.0033) time: 2.6384 data: 0.0059 max mem: 31630 Epoch: [25] [4000/5278] eta: 0:57:36 lr: 1.9739150589820353e-05 loss: 0.0459 (0.0552) loss_seg: 0.0454 (0.0548) loss_lansim: 0.0555 (0.0411) loss_contra: 0.0005 (0.0033) time: 2.6461 data: 0.0060 max mem: 31630 Epoch: [25] [4010/5278] eta: 0:57:09 lr: 1.973678720149468e-05 loss: 0.0464 (0.0553) loss_seg: 0.0458 (0.0548) loss_lansim: 0.0544 (0.0412) loss_contra: 0.0004 (0.0033) time: 2.6537 data: 0.0060 max mem: 31630 Epoch: [25] [4020/5278] eta: 0:56:42 lr: 1.973442378172362e-05 loss: 0.0464 (0.0553) loss_seg: 0.0459 (0.0549) loss_lansim: 0.0540 (0.0412) loss_contra: 0.0004 (0.0033) time: 2.6586 data: 0.0060 max mem: 31630 Epoch: [25] [4030/5278] eta: 0:56:15 lr: 1.9732060330502564e-05 loss: 0.0471 (0.0553) loss_seg: 0.0462 (0.0549) loss_lansim: 0.0549 (0.0413) loss_contra: 0.0004 (0.0034) time: 2.6656 data: 0.0060 max mem: 31630 Epoch: [25] [4040/5278] eta: 0:55:48 lr: 1.9729696847826916e-05 loss: 0.0468 (0.0553) loss_seg: 0.0460 (0.0549) loss_lansim: 0.0553 (0.0413) loss_contra: 0.0003 (0.0034) time: 2.6728 data: 0.0060 max mem: 31630 Epoch: [25] [4050/5278] eta: 0:55:21 lr: 1.9727333333692062e-05 loss: 0.0474 (0.0553) loss_seg: 0.0469 (0.0549) loss_lansim: 0.0558 (0.0413) loss_contra: 0.0003 (0.0034) time: 2.6811 data: 0.0060 max mem: 31630 Epoch: [25] [4060/5278] eta: 0:54:54 lr: 1.97249697880934e-05 loss: 0.0493 (0.0553) loss_seg: 0.0487 (0.0549) loss_lansim: 0.0558 (0.0414) loss_contra: 0.0003 (0.0034) time: 2.6861 data: 0.0059 max mem: 31630 Epoch: [25] [4070/5278] eta: 0:54:27 lr: 1.9722606211026322e-05 loss: 0.0474 (0.0553) loss_seg: 0.0469 (0.0549) loss_lansim: 0.0555 (0.0414) loss_contra: 0.0003 (0.0034) time: 2.6923 data: 0.0059 max mem: 31630 Epoch: [25] [4080/5278] eta: 0:54:00 lr: 1.972024260248622e-05 loss: 0.0518 (0.0554) loss_seg: 0.0512 (0.0549) loss_lansim: 0.0555 (0.0415) loss_contra: 0.0003 (0.0034) time: 2.6970 data: 0.0059 max mem: 31630 Epoch: [25] [4090/5278] eta: 0:53:33 lr: 1.9717878962468477e-05 loss: 0.0524 (0.0554) loss_seg: 0.0519 (0.0549) loss_lansim: 0.0555 (0.0415) loss_contra: 0.0003 (0.0034) time: 2.7010 data: 0.0058 max mem: 31630 Epoch: [25] [4100/5278] eta: 0:53:05 lr: 1.9715515290968484e-05 loss: 0.0535 (0.0554) loss_seg: 0.0529 (0.0549) loss_lansim: 0.0567 (0.0415) loss_contra: 0.0003 (0.0034) time: 2.6973 data: 0.0059 max mem: 31630 Epoch: [25] [4110/5278] eta: 0:52:39 lr: 1.9713151587981628e-05 loss: 0.0541 (0.0554) loss_seg: 0.0536 (0.0550) loss_lansim: 0.0578 (0.0416) loss_contra: 0.0004 (0.0034) time: 2.6993 data: 0.0059 max mem: 31630 Epoch: [25] [4120/5278] eta: 0:52:11 lr: 1.9710787853503305e-05 loss: 0.0535 (0.0554) loss_seg: 0.0529 (0.0550) loss_lansim: 0.0576 (0.0416) loss_contra: 0.0004 (0.0034) time: 2.7016 data: 0.0060 max mem: 31630 Epoch: [25] [4130/5278] eta: 0:51:44 lr: 1.9708424087528883e-05 loss: 0.0528 (0.0554) loss_seg: 0.0522 (0.0549) loss_lansim: 0.0567 (0.0416) loss_contra: 0.0004 (0.0034) time: 2.7021 data: 0.0060 max mem: 31630 Epoch: [25] [4140/5278] eta: 0:51:17 lr: 1.970606029005375e-05 loss: 0.0534 (0.0554) loss_seg: 0.0528 (0.0550) loss_lansim: 0.0559 (0.0417) loss_contra: 0.0004 (0.0034) time: 2.7020 data: 0.0059 max mem: 31630 Epoch: [25] [4150/5278] eta: 0:50:50 lr: 1.970369646107329e-05 loss: 0.0534 (0.0554) loss_seg: 0.0528 (0.0550) loss_lansim: 0.0559 (0.0417) loss_contra: 0.0004 (0.0034) time: 2.7014 data: 0.0059 max mem: 31630 Epoch: [25] [4160/5278] eta: 0:50:23 lr: 1.9701332600582885e-05 loss: 0.0527 (0.0554) loss_seg: 0.0521 (0.0549) loss_lansim: 0.0561 (0.0418) loss_contra: 0.0004 (0.0034) time: 2.6990 data: 0.0059 max mem: 31630 Epoch: [25] [4170/5278] eta: 0:49:56 lr: 1.9698968708577912e-05 loss: 0.0526 (0.0554) loss_seg: 0.0520 (0.0549) loss_lansim: 0.0582 (0.0418) loss_contra: 0.0005 (0.0034) time: 2.7008 data: 0.0059 max mem: 31630 Epoch: [25] [4180/5278] eta: 0:49:29 lr: 1.9696604785053742e-05 loss: 0.0507 (0.0553) loss_seg: 0.0500 (0.0549) loss_lansim: 0.0587 (0.0419) loss_contra: 0.0005 (0.0034) time: 2.6996 data: 0.0058 max mem: 31630 Epoch: [25] [4190/5278] eta: 0:49:02 lr: 1.9694240830005764e-05 loss: 0.0517 (0.0554) loss_seg: 0.0511 (0.0549) loss_lansim: 0.0587 (0.0419) loss_contra: 0.0004 (0.0034) time: 2.7028 data: 0.0058 max mem: 31630 Epoch: [25] [4200/5278] eta: 0:48:35 lr: 1.9691876843429345e-05 loss: 0.0505 (0.0554) loss_seg: 0.0500 (0.0549) loss_lansim: 0.0588 (0.0420) loss_contra: 0.0004 (0.0034) time: 2.7038 data: 0.0058 max mem: 31630 Epoch: [25] [4210/5278] eta: 0:48:08 lr: 1.9689512825319865e-05 loss: 0.0495 (0.0554) loss_seg: 0.0490 (0.0549) loss_lansim: 0.0598 (0.0420) loss_contra: 0.0004 (0.0034) time: 2.7031 data: 0.0058 max mem: 31630 Epoch: [25] [4220/5278] eta: 0:47:41 lr: 1.9687148775672686e-05 loss: 0.0494 (0.0554) loss_seg: 0.0489 (0.0549) loss_lansim: 0.0613 (0.0421) loss_contra: 0.0004 (0.0034) time: 2.7021 data: 0.0057 max mem: 31630 Epoch: [25] [4230/5278] eta: 0:47:14 lr: 1.968478469448319e-05 loss: 0.0497 (0.0554) loss_seg: 0.0490 (0.0550) loss_lansim: 0.0615 (0.0421) loss_contra: 0.0004 (0.0034) time: 2.7041 data: 0.0057 max mem: 31630 Epoch: [25] [4240/5278] eta: 0:46:47 lr: 1.9682420581746742e-05 loss: 0.0497 (0.0554) loss_seg: 0.0490 (0.0550) loss_lansim: 0.0612 (0.0421) loss_contra: 0.0004 (0.0034) time: 2.7016 data: 0.0056 max mem: 31630 Epoch: [25] [4250/5278] eta: 0:46:20 lr: 1.968005643745871e-05 loss: 0.0507 (0.0554) loss_seg: 0.0502 (0.0550) loss_lansim: 0.0607 (0.0422) loss_contra: 0.0004 (0.0034) time: 2.7031 data: 0.0056 max mem: 31630 Epoch: [25] [4260/5278] eta: 0:45:53 lr: 1.9677692261614465e-05 loss: 0.0521 (0.0554) loss_seg: 0.0515 (0.0550) loss_lansim: 0.0602 (0.0422) loss_contra: 0.0003 (0.0034) time: 2.7052 data: 0.0056 max mem: 31630 Epoch: [25] [4270/5278] eta: 0:45:26 lr: 1.967532805420937e-05 loss: 0.0527 (0.0554) loss_seg: 0.0521 (0.0550) loss_lansim: 0.0585 (0.0422) loss_contra: 0.0003 (0.0034) time: 2.7030 data: 0.0055 max mem: 31630 Epoch: [25] [4280/5278] eta: 0:44:59 lr: 1.967296381523879e-05 loss: 0.0535 (0.0555) loss_seg: 0.0529 (0.0550) loss_lansim: 0.0570 (0.0422) loss_contra: 0.0004 (0.0034) time: 2.7070 data: 0.0055 max mem: 31630 Epoch: [25] [4290/5278] eta: 0:44:32 lr: 1.9670599544698098e-05 loss: 0.0533 (0.0555) loss_seg: 0.0528 (0.0550) loss_lansim: 0.0564 (0.0422) loss_contra: 0.0003 (0.0034) time: 2.7049 data: 0.0054 max mem: 31630 Epoch: [25] [4300/5278] eta: 0:44:05 lr: 1.9668235242582638e-05 loss: 0.0533 (0.0555) loss_seg: 0.0528 (0.0550) loss_lansim: 0.0553 (0.0423) loss_contra: 0.0004 (0.0034) time: 2.7056 data: 0.0053 max mem: 31630 Epoch: [25] [4310/5278] eta: 0:43:37 lr: 1.966587090888778e-05 loss: 0.0533 (0.0555) loss_seg: 0.0528 (0.0550) loss_lansim: 0.0537 (0.0423) loss_contra: 0.0004 (0.0034) time: 2.7016 data: 0.0053 max mem: 31630 Epoch: [25] [4320/5278] eta: 0:43:10 lr: 1.966350654360889e-05 loss: 0.0533 (0.0555) loss_seg: 0.0528 (0.0551) loss_lansim: 0.0521 (0.0423) loss_contra: 0.0004 (0.0034) time: 2.7015 data: 0.0052 max mem: 31630 Epoch: [25] [4330/5278] eta: 0:42:43 lr: 1.966114214674132e-05 loss: 0.0533 (0.0555) loss_seg: 0.0528 (0.0551) loss_lansim: 0.0517 (0.0423) loss_contra: 0.0004 (0.0034) time: 2.6986 data: 0.0053 max mem: 31630 Epoch: [25] [4340/5278] eta: 0:42:16 lr: 1.9658777718280425e-05 loss: 0.0533 (0.0555) loss_seg: 0.0528 (0.0550) loss_lansim: 0.0516 (0.0423) loss_contra: 0.0004 (0.0034) time: 2.7027 data: 0.0053 max mem: 31630 Epoch: [25] [4350/5278] eta: 0:41:49 lr: 1.965641325822156e-05 loss: 0.0533 (0.0555) loss_seg: 0.0528 (0.0551) loss_lansim: 0.0504 (0.0424) loss_contra: 0.0004 (0.0034) time: 2.7001 data: 0.0053 max mem: 31630 Epoch: [25] [4360/5278] eta: 0:41:22 lr: 1.9654048766560084e-05 loss: 0.0529 (0.0555) loss_seg: 0.0524 (0.0551) loss_lansim: 0.0502 (0.0424) loss_contra: 0.0004 (0.0034) time: 2.7052 data: 0.0053 max mem: 31630 Epoch: [25] [4370/5278] eta: 0:40:55 lr: 1.9651684243291356e-05 loss: 0.0529 (0.0555) loss_seg: 0.0524 (0.0551) loss_lansim: 0.0502 (0.0424) loss_contra: 0.0004 (0.0034) time: 2.7031 data: 0.0053 max mem: 31630 Epoch: [25] [4380/5278] eta: 0:40:28 lr: 1.964931968841071e-05 loss: 0.0529 (0.0555) loss_seg: 0.0524 (0.0551) loss_lansim: 0.0499 (0.0424) loss_contra: 0.0004 (0.0034) time: 2.7039 data: 0.0054 max mem: 31630 Epoch: [25] [4390/5278] eta: 0:40:01 lr: 1.964695510191351e-05 loss: 0.0529 (0.0555) loss_seg: 0.0524 (0.0551) loss_lansim: 0.0499 (0.0424) loss_contra: 0.0004 (0.0034) time: 2.7010 data: 0.0054 max mem: 31630 Epoch: [25] [4400/5278] eta: 0:39:34 lr: 1.9644590483795103e-05 loss: 0.0531 (0.0556) loss_seg: 0.0526 (0.0551) loss_lansim: 0.0496 (0.0424) loss_contra: 0.0004 (0.0034) time: 2.7039 data: 0.0054 max mem: 31630 Epoch: [25] [4410/5278] eta: 0:39:07 lr: 1.964222583405084e-05 loss: 0.0532 (0.0556) loss_seg: 0.0526 (0.0551) loss_lansim: 0.0490 (0.0425) loss_contra: 0.0004 (0.0034) time: 2.7079 data: 0.0054 max mem: 31630 Epoch: [25] [4420/5278] eta: 0:38:40 lr: 1.963986115267606e-05 loss: 0.0526 (0.0556) loss_seg: 0.0522 (0.0551) loss_lansim: 0.0484 (0.0425) loss_contra: 0.0004 (0.0034) time: 2.7060 data: 0.0054 max mem: 31630 Epoch: [25] [4430/5278] eta: 0:38:13 lr: 1.9637496439666107e-05 loss: 0.0524 (0.0556) loss_seg: 0.0519 (0.0551) loss_lansim: 0.0492 (0.0425) loss_contra: 0.0004 (0.0034) time: 2.7105 data: 0.0054 max mem: 31630 Epoch: [25] [4440/5278] eta: 0:37:46 lr: 1.9635131695016333e-05 loss: 0.0524 (0.0555) loss_seg: 0.0519 (0.0551) loss_lansim: 0.0489 (0.0425) loss_contra: 0.0004 (0.0034) time: 2.7088 data: 0.0054 max mem: 31630 Epoch: [25] [4450/5278] eta: 0:37:19 lr: 1.9632766918722075e-05 loss: 0.0502 (0.0555) loss_seg: 0.0497 (0.0551) loss_lansim: 0.0486 (0.0425) loss_contra: 0.0004 (0.0034) time: 2.7135 data: 0.0054 max mem: 31630 Epoch: [25] [4460/5278] eta: 0:36:52 lr: 1.9630402110778685e-05 loss: 0.0507 (0.0555) loss_seg: 0.0502 (0.0551) loss_lansim: 0.0482 (0.0425) loss_contra: 0.0005 (0.0034) time: 2.7079 data: 0.0054 max mem: 31630 Epoch: [25] [4470/5278] eta: 0:36:25 lr: 1.9628037271181488e-05 loss: 0.0501 (0.0555) loss_seg: 0.0497 (0.0551) loss_lansim: 0.0482 (0.0425) loss_contra: 0.0005 (0.0034) time: 2.7119 data: 0.0054 max mem: 31630 Epoch: [25] [4480/5278] eta: 0:35:58 lr: 1.9625672399925828e-05 loss: 0.0495 (0.0555) loss_seg: 0.0491 (0.0551) loss_lansim: 0.0482 (0.0425) loss_contra: 0.0005 (0.0034) time: 2.7092 data: 0.0053 max mem: 31630 Epoch: [25] [4490/5278] eta: 0:35:31 lr: 1.9623307497007042e-05 loss: 0.0495 (0.0555) loss_seg: 0.0491 (0.0551) loss_lansim: 0.0482 (0.0426) loss_contra: 0.0004 (0.0034) time: 2.7115 data: 0.0053 max mem: 31630 Epoch: [25] [4500/5278] eta: 0:35:04 lr: 1.9620942562420477e-05 loss: 0.0495 (0.0555) loss_seg: 0.0491 (0.0551) loss_lansim: 0.0480 (0.0426) loss_contra: 0.0005 (0.0035) time: 2.7091 data: 0.0053 max mem: 31630 Epoch: [25] [4510/5278] eta: 0:34:37 lr: 1.9618577596161452e-05 loss: 0.0496 (0.0555) loss_seg: 0.0491 (0.0551) loss_lansim: 0.0482 (0.0426) loss_contra: 0.0004 (0.0035) time: 2.7089 data: 0.0053 max mem: 31630 Epoch: [25] [4520/5278] eta: 0:34:10 lr: 1.9616212598225306e-05 loss: 0.0501 (0.0555) loss_seg: 0.0497 (0.0551) loss_lansim: 0.0480 (0.0426) loss_contra: 0.0004 (0.0034) time: 2.7134 data: 0.0053 max mem: 31630 Epoch: [25] [4530/5278] eta: 0:33:43 lr: 1.9613847568607373e-05 loss: 0.0505 (0.0555) loss_seg: 0.0500 (0.0551) loss_lansim: 0.0475 (0.0426) loss_contra: 0.0004 (0.0034) time: 2.7102 data: 0.0054 max mem: 31630 Epoch: [25] [4540/5278] eta: 0:33:16 lr: 1.9611482507302988e-05 loss: 0.0507 (0.0555) loss_seg: 0.0502 (0.0551) loss_lansim: 0.0470 (0.0426) loss_contra: 0.0003 (0.0034) time: 2.7146 data: 0.0054 max mem: 31630 Epoch: [25] [4550/5278] eta: 0:32:49 lr: 1.9609117414307472e-05 loss: 0.0520 (0.0555) loss_seg: 0.0515 (0.0551) loss_lansim: 0.0475 (0.0426) loss_contra: 0.0004 (0.0034) time: 2.7095 data: 0.0054 max mem: 31630 Epoch: [25] [4560/5278] eta: 0:32:22 lr: 1.9606752289616152e-05 loss: 0.0522 (0.0555) loss_seg: 0.0516 (0.0551) loss_lansim: 0.0475 (0.0426) loss_contra: 0.0003 (0.0034) time: 2.7136 data: 0.0054 max mem: 31630 Epoch: [25] [4570/5278] eta: 0:31:55 lr: 1.9604387133224363e-05 loss: 0.0526 (0.0556) loss_seg: 0.0522 (0.0551) loss_lansim: 0.0475 (0.0426) loss_contra: 0.0003 (0.0034) time: 2.7103 data: 0.0055 max mem: 31630 Epoch: [25] [4580/5278] eta: 0:31:27 lr: 1.9602021945127434e-05 loss: 0.0534 (0.0556) loss_seg: 0.0529 (0.0551) loss_lansim: 0.0476 (0.0427) loss_contra: 0.0003 (0.0034) time: 2.7135 data: 0.0056 max mem: 31630 Epoch: [25] [4590/5278] eta: 0:31:00 lr: 1.9599656725320673e-05 loss: 0.0525 (0.0556) loss_seg: 0.0520 (0.0551) loss_lansim: 0.0476 (0.0427) loss_contra: 0.0003 (0.0034) time: 2.7101 data: 0.0057 max mem: 31630 Epoch: [25] [4600/5278] eta: 0:30:33 lr: 1.9597291473799414e-05 loss: 0.0523 (0.0556) loss_seg: 0.0517 (0.0551) loss_lansim: 0.0474 (0.0427) loss_contra: 0.0003 (0.0034) time: 2.7153 data: 0.0057 max mem: 31630 Epoch: [25] [4610/5278] eta: 0:30:06 lr: 1.959492619055898e-05 loss: 0.0522 (0.0556) loss_seg: 0.0516 (0.0551) loss_lansim: 0.0474 (0.0427) loss_contra: 0.0003 (0.0034) time: 2.7114 data: 0.0057 max mem: 31630 Epoch: [25] [4620/5278] eta: 0:29:39 lr: 1.959256087559469e-05 loss: 0.0526 (0.0556) loss_seg: 0.0522 (0.0551) loss_lansim: 0.0473 (0.0427) loss_contra: 0.0003 (0.0035) time: 2.7112 data: 0.0057 max mem: 31630 Epoch: [25] [4630/5278] eta: 0:29:12 lr: 1.9590195528901857e-05 loss: 0.0525 (0.0556) loss_seg: 0.0520 (0.0551) loss_lansim: 0.0472 (0.0427) loss_contra: 0.0003 (0.0035) time: 2.7091 data: 0.0056 max mem: 31630 Epoch: [25] [4640/5278] eta: 0:28:45 lr: 1.95878301504758e-05 loss: 0.0518 (0.0556) loss_seg: 0.0513 (0.0551) loss_lansim: 0.0465 (0.0427) loss_contra: 0.0003 (0.0035) time: 2.7099 data: 0.0056 max mem: 31630 Epoch: [25] [4650/5278] eta: 0:28:18 lr: 1.9585464740311843e-05 loss: 0.0521 (0.0556) loss_seg: 0.0516 (0.0551) loss_lansim: 0.0466 (0.0427) loss_contra: 0.0003 (0.0035) time: 2.7103 data: 0.0056 max mem: 31630 Epoch: [25] [4660/5278] eta: 0:27:51 lr: 1.95830992984053e-05 loss: 0.0517 (0.0556) loss_seg: 0.0513 (0.0551) loss_lansim: 0.0466 (0.0427) loss_contra: 0.0003 (0.0035) time: 2.7104 data: 0.0055 max mem: 31630 Epoch: [25] [4670/5278] eta: 0:27:24 lr: 1.9580733824751475e-05 loss: 0.0510 (0.0556) loss_seg: 0.0506 (0.0551) loss_lansim: 0.0472 (0.0428) loss_contra: 0.0003 (0.0035) time: 2.7159 data: 0.0054 max mem: 31630 Epoch: [25] [4680/5278] eta: 0:26:57 lr: 1.9578368319345686e-05 loss: 0.0497 (0.0555) loss_seg: 0.0492 (0.0551) loss_lansim: 0.0472 (0.0428) loss_contra: 0.0003 (0.0035) time: 2.7137 data: 0.0054 max mem: 31630 Epoch: [25] [4690/5278] eta: 0:26:30 lr: 1.9576002782183243e-05 loss: 0.0504 (0.0556) loss_seg: 0.0497 (0.0551) loss_lansim: 0.0481 (0.0428) loss_contra: 0.0003 (0.0035) time: 2.7200 data: 0.0053 max mem: 31630 Epoch: [25] [4700/5278] eta: 0:26:03 lr: 1.957363721325946e-05 loss: 0.0505 (0.0556) loss_seg: 0.0499 (0.0551) loss_lansim: 0.0482 (0.0428) loss_contra: 0.0003 (0.0035) time: 2.7145 data: 0.0053 max mem: 31630 Epoch: [25] [4710/5278] eta: 0:25:36 lr: 1.9571271612569648e-05 loss: 0.0505 (0.0556) loss_seg: 0.0499 (0.0551) loss_lansim: 0.0482 (0.0428) loss_contra: 0.0003 (0.0035) time: 2.7194 data: 0.0053 max mem: 31630 Epoch: [25] [4720/5278] eta: 0:25:09 lr: 1.95689059801091e-05 loss: 0.0500 (0.0556) loss_seg: 0.0495 (0.0551) loss_lansim: 0.0482 (0.0428) loss_contra: 0.0003 (0.0035) time: 2.7156 data: 0.0053 max mem: 31630 Epoch: [25] [4730/5278] eta: 0:24:42 lr: 1.9566540315873134e-05 loss: 0.0504 (0.0556) loss_seg: 0.0497 (0.0551) loss_lansim: 0.0482 (0.0428) loss_contra: 0.0003 (0.0035) time: 2.7178 data: 0.0053 max mem: 31630 Epoch: [25] [4740/5278] eta: 0:24:15 lr: 1.956417461985705e-05 loss: 0.0497 (0.0556) loss_seg: 0.0492 (0.0551) loss_lansim: 0.0493 (0.0429) loss_contra: 0.0002 (0.0035) time: 2.7114 data: 0.0053 max mem: 31630 Epoch: [25] [4750/5278] eta: 0:23:48 lr: 1.956180889205616e-05 loss: 0.0500 (0.0556) loss_seg: 0.0495 (0.0551) loss_lansim: 0.0490 (0.0429) loss_contra: 0.0002 (0.0035) time: 2.7175 data: 0.0052 max mem: 31630 Epoch: [25] [4760/5278] eta: 0:23:21 lr: 1.9559443132465747e-05 loss: 0.0500 (0.0556) loss_seg: 0.0495 (0.0551) loss_lansim: 0.0485 (0.0429) loss_contra: 0.0002 (0.0035) time: 2.7136 data: 0.0052 max mem: 31630 Epoch: [25] [4770/5278] eta: 0:22:54 lr: 1.9557077341081126e-05 loss: 0.0498 (0.0556) loss_seg: 0.0492 (0.0551) loss_lansim: 0.0485 (0.0429) loss_contra: 0.0002 (0.0035) time: 2.7122 data: 0.0052 max mem: 31630 Epoch: [25] [4780/5278] eta: 0:22:27 lr: 1.9554711517897592e-05 loss: 0.0521 (0.0556) loss_seg: 0.0516 (0.0551) loss_lansim: 0.0485 (0.0429) loss_contra: 0.0002 (0.0035) time: 2.7130 data: 0.0052 max mem: 31630 Epoch: [25] [4790/5278] eta: 0:22:00 lr: 1.955234566291045e-05 loss: 0.0518 (0.0556) loss_seg: 0.0513 (0.0552) loss_lansim: 0.0485 (0.0429) loss_contra: 0.0003 (0.0035) time: 2.7099 data: 0.0052 max mem: 31630 Epoch: [25] [4800/5278] eta: 0:21:33 lr: 1.9549979776114978e-05 loss: 0.0518 (0.0556) loss_seg: 0.0513 (0.0552) loss_lansim: 0.0490 (0.0429) loss_contra: 0.0002 (0.0035) time: 2.7131 data: 0.0052 max mem: 31630 Epoch: [25] [4810/5278] eta: 0:21:06 lr: 1.954761385750649e-05 loss: 0.0514 (0.0556) loss_seg: 0.0508 (0.0552) loss_lansim: 0.0498 (0.0430) loss_contra: 0.0002 (0.0035) time: 2.7090 data: 0.0053 max mem: 31630 Epoch: [25] [4820/5278] eta: 0:20:39 lr: 1.954524790708027e-05 loss: 0.0499 (0.0556) loss_seg: 0.0495 (0.0552) loss_lansim: 0.0493 (0.0430) loss_contra: 0.0002 (0.0035) time: 2.7118 data: 0.0053 max mem: 31630 Epoch: [25] [4830/5278] eta: 0:20:11 lr: 1.9542881924831623e-05 loss: 0.0495 (0.0556) loss_seg: 0.0488 (0.0552) loss_lansim: 0.0498 (0.0430) loss_contra: 0.0002 (0.0034) time: 2.7090 data: 0.0054 max mem: 31630 Epoch: [25] [4840/5278] eta: 0:19:44 lr: 1.954051591075582e-05 loss: 0.0495 (0.0556) loss_seg: 0.0487 (0.0551) loss_lansim: 0.0493 (0.0430) loss_contra: 0.0004 (0.0034) time: 2.7113 data: 0.0054 max mem: 31630 Epoch: [25] [4850/5278] eta: 0:19:17 lr: 1.9538149864848164e-05 loss: 0.0495 (0.0556) loss_seg: 0.0489 (0.0551) loss_lansim: 0.0491 (0.0430) loss_contra: 0.0004 (0.0034) time: 2.7032 data: 0.0054 max mem: 31630 Epoch: [25] [4860/5278] eta: 0:18:50 lr: 1.9535783787103937e-05 loss: 0.0505 (0.0556) loss_seg: 0.0499 (0.0551) loss_lansim: 0.0493 (0.0430) loss_contra: 0.0005 (0.0034) time: 2.7100 data: 0.0054 max mem: 31630 Epoch: [25] [4870/5278] eta: 0:18:23 lr: 1.9533417677518437e-05 loss: 0.0494 (0.0556) loss_seg: 0.0487 (0.0551) loss_lansim: 0.0490 (0.0430) loss_contra: 0.0005 (0.0034) time: 2.7078 data: 0.0054 max mem: 31630 Epoch: [25] [4880/5278] eta: 0:17:56 lr: 1.9531051536086938e-05 loss: 0.0491 (0.0556) loss_seg: 0.0486 (0.0551) loss_lansim: 0.0491 (0.0430) loss_contra: 0.0005 (0.0034) time: 2.7066 data: 0.0055 max mem: 31630 Epoch: [25] [4890/5278] eta: 0:17:29 lr: 1.9528685362804734e-05 loss: 0.0488 (0.0556) loss_seg: 0.0482 (0.0551) loss_lansim: 0.0481 (0.0430) loss_contra: 0.0005 (0.0034) time: 2.7068 data: 0.0055 max mem: 31630 Epoch: [25] [4900/5278] eta: 0:17:02 lr: 1.9526319157667097e-05 loss: 0.0512 (0.0556) loss_seg: 0.0507 (0.0552) loss_lansim: 0.0476 (0.0431) loss_contra: 0.0005 (0.0034) time: 2.7053 data: 0.0056 max mem: 31630 Epoch: [25] [4910/5278] eta: 0:16:35 lr: 1.9523952920669316e-05 loss: 0.0523 (0.0556) loss_seg: 0.0518 (0.0552) loss_lansim: 0.0473 (0.0431) loss_contra: 0.0004 (0.0034) time: 2.7102 data: 0.0056 max mem: 31630 Epoch: [25] [4920/5278] eta: 0:16:08 lr: 1.952158665180668e-05 loss: 0.0526 (0.0557) loss_seg: 0.0521 (0.0552) loss_lansim: 0.0476 (0.0431) loss_contra: 0.0004 (0.0034) time: 2.7076 data: 0.0057 max mem: 31630 Epoch: [25] [4930/5278] eta: 0:15:41 lr: 1.951922035107445e-05 loss: 0.0518 (0.0556) loss_seg: 0.0513 (0.0552) loss_lansim: 0.0472 (0.0431) loss_contra: 0.0004 (0.0034) time: 2.7122 data: 0.0057 max mem: 31630 Epoch: [25] [4940/5278] eta: 0:15:14 lr: 1.9516854018467917e-05 loss: 0.0528 (0.0557) loss_seg: 0.0523 (0.0552) loss_lansim: 0.0470 (0.0431) loss_contra: 0.0003 (0.0034) time: 2.7115 data: 0.0057 max mem: 31630 Epoch: [25] [4950/5278] eta: 0:14:47 lr: 1.9514487653982353e-05 loss: 0.0522 (0.0557) loss_seg: 0.0517 (0.0552) loss_lansim: 0.0472 (0.0431) loss_contra: 0.0004 (0.0034) time: 2.7150 data: 0.0056 max mem: 31630 Epoch: [25] [4960/5278] eta: 0:14:20 lr: 1.9512121257613036e-05 loss: 0.0516 (0.0556) loss_seg: 0.0511 (0.0552) loss_lansim: 0.0472 (0.0431) loss_contra: 0.0003 (0.0034) time: 2.7077 data: 0.0057 max mem: 31630 Epoch: [25] [4970/5278] eta: 0:13:53 lr: 1.9509754829355232e-05 loss: 0.0528 (0.0556) loss_seg: 0.0523 (0.0552) loss_lansim: 0.0472 (0.0431) loss_contra: 0.0002 (0.0034) time: 2.7081 data: 0.0058 max mem: 31630 Epoch: [25] [4980/5278] eta: 0:13:26 lr: 1.9507388369204226e-05 loss: 0.0528 (0.0556) loss_seg: 0.0523 (0.0552) loss_lansim: 0.0473 (0.0431) loss_contra: 0.0002 (0.0034) time: 2.7086 data: 0.0057 max mem: 31630 Epoch: [25] [4990/5278] eta: 0:12:59 lr: 1.9505021877155273e-05 loss: 0.0523 (0.0557) loss_seg: 0.0518 (0.0552) loss_lansim: 0.0475 (0.0431) loss_contra: 0.0002 (0.0034) time: 2.7063 data: 0.0057 max mem: 31630 Epoch: [25] [5000/5278] eta: 0:12:32 lr: 1.9502655353203665e-05 loss: 0.0505 (0.0557) loss_seg: 0.0500 (0.0552) loss_lansim: 0.0474 (0.0431) loss_contra: 0.0002 (0.0034) time: 2.7078 data: 0.0057 max mem: 31630 Epoch: [25] [5010/5278] eta: 0:12:05 lr: 1.9500288797344647e-05 loss: 0.0502 (0.0557) loss_seg: 0.0496 (0.0552) loss_lansim: 0.0469 (0.0431) loss_contra: 0.0002 (0.0034) time: 2.7024 data: 0.0057 max mem: 31630 Epoch: [25] [5020/5278] eta: 0:11:37 lr: 1.94979222095735e-05 loss: 0.0527 (0.0557) loss_seg: 0.0522 (0.0552) loss_lansim: 0.0466 (0.0432) loss_contra: 0.0002 (0.0034) time: 2.7071 data: 0.0056 max mem: 31630 Epoch: [25] [5030/5278] eta: 0:11:10 lr: 1.9495555589885485e-05 loss: 0.0548 (0.0557) loss_seg: 0.0542 (0.0553) loss_lansim: 0.0464 (0.0432) loss_contra: 0.0002 (0.0034) time: 2.7026 data: 0.0056 max mem: 31630 Epoch: [25] [5040/5278] eta: 0:10:43 lr: 1.949318893827587e-05 loss: 0.0527 (0.0557) loss_seg: 0.0522 (0.0553) loss_lansim: 0.0466 (0.0432) loss_contra: 0.0003 (0.0034) time: 2.7067 data: 0.0056 max mem: 31630 Epoch: [25] [5050/5278] eta: 0:10:16 lr: 1.9490822254739914e-05 loss: 0.0545 (0.0557) loss_seg: 0.0539 (0.0553) loss_lansim: 0.0464 (0.0432) loss_contra: 0.0002 (0.0034) time: 2.7057 data: 0.0057 max mem: 31630 Epoch: [25] [5060/5278] eta: 0:09:49 lr: 1.9488455539272882e-05 loss: 0.0545 (0.0557) loss_seg: 0.0539 (0.0552) loss_lansim: 0.0464 (0.0432) loss_contra: 0.0002 (0.0034) time: 2.7104 data: 0.0056 max mem: 31630 Epoch: [25] [5070/5278] eta: 0:09:22 lr: 1.9486088791870032e-05 loss: 0.0525 (0.0557) loss_seg: 0.0520 (0.0552) loss_lansim: 0.0466 (0.0432) loss_contra: 0.0003 (0.0034) time: 2.7093 data: 0.0056 max mem: 31630 Epoch: [25] [5080/5278] eta: 0:08:55 lr: 1.948372201252663e-05 loss: 0.0525 (0.0557) loss_seg: 0.0520 (0.0553) loss_lansim: 0.0459 (0.0432) loss_contra: 0.0003 (0.0034) time: 2.7136 data: 0.0056 max mem: 31630 Epoch: [25] [5090/5278] eta: 0:08:28 lr: 1.948135520123792e-05 loss: 0.0531 (0.0557) loss_seg: 0.0526 (0.0552) loss_lansim: 0.0459 (0.0432) loss_contra: 0.0003 (0.0034) time: 2.7155 data: 0.0055 max mem: 31630 Epoch: [25] [5100/5278] eta: 0:08:01 lr: 1.947898835799917e-05 loss: 0.0531 (0.0557) loss_seg: 0.0526 (0.0553) loss_lansim: 0.0459 (0.0432) loss_contra: 0.0003 (0.0034) time: 2.7142 data: 0.0055 max mem: 31630 Epoch: [25] [5110/5278] eta: 0:07:34 lr: 1.9476621482805632e-05 loss: 0.0522 (0.0557) loss_seg: 0.0518 (0.0553) loss_lansim: 0.0457 (0.0432) loss_contra: 0.0003 (0.0034) time: 2.7168 data: 0.0055 max mem: 31630 Epoch: [25] [5120/5278] eta: 0:07:07 lr: 1.947425457565256e-05 loss: 0.0522 (0.0557) loss_seg: 0.0517 (0.0553) loss_lansim: 0.0457 (0.0432) loss_contra: 0.0003 (0.0034) time: 2.7163 data: 0.0055 max mem: 31630 Epoch: [25] [5130/5278] eta: 0:06:40 lr: 1.9471887636535204e-05 loss: 0.0513 (0.0557) loss_seg: 0.0508 (0.0553) loss_lansim: 0.0459 (0.0432) loss_contra: 0.0003 (0.0033) time: 2.7212 data: 0.0054 max mem: 31630 Epoch: [25] [5140/5278] eta: 0:06:13 lr: 1.9469520665448818e-05 loss: 0.0522 (0.0557) loss_seg: 0.0517 (0.0553) loss_lansim: 0.0454 (0.0432) loss_contra: 0.0003 (0.0033) time: 2.7168 data: 0.0054 max mem: 31630 Epoch: [25] [5150/5278] eta: 0:05:46 lr: 1.946715366238865e-05 loss: 0.0522 (0.0558) loss_seg: 0.0517 (0.0553) loss_lansim: 0.0454 (0.0432) loss_contra: 0.0003 (0.0033) time: 2.7196 data: 0.0054 max mem: 31630 Epoch: [25] [5160/5278] eta: 0:05:19 lr: 1.9464786627349947e-05 loss: 0.0526 (0.0558) loss_seg: 0.0522 (0.0553) loss_lansim: 0.0454 (0.0433) loss_contra: 0.0003 (0.0033) time: 2.7140 data: 0.0054 max mem: 31630 Epoch: [25] [5170/5278] eta: 0:04:52 lr: 1.9462419560327962e-05 loss: 0.0522 (0.0558) loss_seg: 0.0517 (0.0553) loss_lansim: 0.0453 (0.0433) loss_contra: 0.0003 (0.0033) time: 2.7183 data: 0.0054 max mem: 31630 Epoch: [25] [5180/5278] eta: 0:04:25 lr: 1.9460052461317933e-05 loss: 0.0520 (0.0558) loss_seg: 0.0515 (0.0553) loss_lansim: 0.0454 (0.0433) loss_contra: 0.0003 (0.0033) time: 2.7138 data: 0.0054 max mem: 31630 Epoch: [25] [5190/5278] eta: 0:03:58 lr: 1.9457685330315105e-05 loss: 0.0520 (0.0557) loss_seg: 0.0515 (0.0553) loss_lansim: 0.0454 (0.0433) loss_contra: 0.0003 (0.0033) time: 2.7117 data: 0.0054 max mem: 31630 Epoch: [25] [5200/5278] eta: 0:03:31 lr: 1.9455318167314726e-05 loss: 0.0520 (0.0558) loss_seg: 0.0515 (0.0553) loss_lansim: 0.0455 (0.0433) loss_contra: 0.0003 (0.0033) time: 2.7140 data: 0.0053 max mem: 31630 Epoch: [25] [5210/5278] eta: 0:03:03 lr: 1.945295097231204e-05 loss: 0.0526 (0.0558) loss_seg: 0.0522 (0.0553) loss_lansim: 0.0456 (0.0433) loss_contra: 0.0003 (0.0033) time: 2.7111 data: 0.0053 max mem: 31630 Epoch: [25] [5220/5278] eta: 0:02:36 lr: 1.9450583745302274e-05 loss: 0.0530 (0.0558) loss_seg: 0.0526 (0.0553) loss_lansim: 0.0454 (0.0433) loss_contra: 0.0002 (0.0033) time: 2.7121 data: 0.0053 max mem: 31630 Epoch: [25] [5230/5278] eta: 0:02:09 lr: 1.9448216486280678e-05 loss: 0.0526 (0.0558) loss_seg: 0.0522 (0.0553) loss_lansim: 0.0454 (0.0433) loss_contra: 0.0002 (0.0033) time: 2.7064 data: 0.0053 max mem: 31630 Epoch: [25] [5240/5278] eta: 0:01:42 lr: 1.9445849195242487e-05 loss: 0.0516 (0.0558) loss_seg: 0.0510 (0.0553) loss_lansim: 0.0453 (0.0433) loss_contra: 0.0002 (0.0033) time: 2.7084 data: 0.0053 max mem: 31630 Epoch: [25] [5250/5278] eta: 0:01:15 lr: 1.9443481872182944e-05 loss: 0.0519 (0.0558) loss_seg: 0.0515 (0.0553) loss_lansim: 0.0452 (0.0433) loss_contra: 0.0002 (0.0033) time: 2.7047 data: 0.0053 max mem: 31630 Epoch: [25] [5260/5278] eta: 0:00:48 lr: 1.9441114517097267e-05 loss: 0.0518 (0.0558) loss_seg: 0.0514 (0.0553) loss_lansim: 0.0450 (0.0433) loss_contra: 0.0002 (0.0033) time: 2.7103 data: 0.0054 max mem: 31630 Epoch: [25] [5270/5278] eta: 0:00:21 lr: 1.94387471299807e-05 loss: 0.0518 (0.0558) loss_seg: 0.0514 (0.0553) loss_lansim: 0.0452 (0.0433) loss_contra: 0.0002 (0.0033) time: 2.7035 data: 0.0054 max mem: 31630 Epoch: [25] Total time: 3:58:00 Test: [ 0/2573] eta: 1:00:58 time: 1.4218 data: 1.2625 max mem: 31630 Test: [ 100/2573] eta: 0:06:11 time: 0.1373 data: 0.0013 max mem: 31630 Test: [ 200/2573] eta: 0:05:47 time: 0.1424 data: 0.0014 max mem: 31630 Test: [ 300/2573] eta: 0:05:25 time: 0.1376 data: 0.0014 max mem: 31630 Test: [ 400/2573] eta: 0:05:09 time: 0.1399 data: 0.0014 max mem: 31630 Test: [ 500/2573] eta: 0:04:54 time: 0.1409 data: 0.0014 max mem: 31630 Test: [ 600/2573] eta: 0:04:40 time: 0.1423 data: 0.0014 max mem: 31630 Test: [ 700/2573] eta: 0:04:27 time: 0.1461 data: 0.0014 max mem: 31630 Test: [ 800/2573] eta: 0:04:13 time: 0.1432 data: 0.0014 max mem: 31630 Test: [ 900/2573] eta: 0:03:58 time: 0.1432 data: 0.0014 max mem: 31630 Test: [1000/2573] eta: 0:03:44 time: 0.1419 data: 0.0014 max mem: 31630 Test: [1100/2573] eta: 0:03:30 time: 0.1412 data: 0.0014 max mem: 31630 Test: [1200/2573] eta: 0:03:15 time: 0.1434 data: 0.0014 max mem: 31630 Test: [1300/2573] eta: 0:03:01 time: 0.1420 data: 0.0014 max mem: 31630 Test: [1400/2573] eta: 0:02:46 time: 0.1383 data: 0.0014 max mem: 31630 Test: [1500/2573] eta: 0:02:32 time: 0.1429 data: 0.0014 max mem: 31630 Test: [1600/2573] eta: 0:02:18 time: 0.1422 data: 0.0014 max mem: 31630 Test: [1700/2573] eta: 0:02:04 time: 0.1431 data: 0.0014 max mem: 31630 Test: [1800/2573] eta: 0:01:49 time: 0.1401 data: 0.0014 max mem: 31630 Test: [1900/2573] eta: 0:01:35 time: 0.1389 data: 0.0014 max mem: 31630 Test: [2000/2573] eta: 0:01:21 time: 0.1387 data: 0.0014 max mem: 31630 Test: [2100/2573] eta: 0:01:07 time: 0.1430 data: 0.0014 max mem: 31630 Test: [2200/2573] eta: 0:00:52 time: 0.1379 data: 0.0014 max mem: 31630 Test: [2300/2573] eta: 0:00:38 time: 0.1433 data: 0.0014 max mem: 31630 Test: [2400/2573] eta: 0:00:24 time: 0.1408 data: 0.0014 max mem: 31630 Test: [2500/2573] eta: 0:00:10 time: 0.1432 data: 0.0014 max mem: 31630 Test: Total time: 0:06:05 Final results: precision@0.5 = 67.97 precision@0.6 = 63.50 precision@0.7 = 57.07 precision@0.8 = 45.51 precision@0.9 = 21.49 overall IoU = 58.08 mean IoU = 60.16 Epoch: [26] [ 0/5278] eta: 6:13:50 lr: 1.9436853197222008e-05 loss: 0.0387 (0.0387) loss_seg: 0.0383 (0.0383) loss_lansim: 0.0431 (0.0431) loss_contra: 0.0001 (0.0001) time: 4.2498 data: 1.4198 max mem: 31630 Epoch: [26] [ 10/5278] eta: 4:11:19 lr: 1.9434485752437823e-05 loss: 0.0572 (0.0882) loss_seg: 0.0567 (0.0877) loss_lansim: 0.0447 (0.0452) loss_contra: 0.0001 (0.0008) time: 2.8624 data: 0.1337 max mem: 31630 Epoch: [26] [ 20/5278] eta: 4:06:09 lr: 1.9432118275609392e-05 loss: 0.0591 (0.0734) loss_seg: 0.0587 (0.0729) loss_lansim: 0.0451 (0.0459) loss_contra: 0.0003 (0.0018) time: 2.8089 data: 0.0724 max mem: 31630 Epoch: [26] [ 30/5278] eta: 4:02:31 lr: 1.9429750766731952e-05 loss: 0.0526 (0.0672) loss_seg: 0.0522 (0.0667) loss_lansim: 0.0447 (0.0453) loss_contra: 0.0003 (0.0027) time: 2.7728 data: 0.0508 max mem: 31630 Epoch: [26] [ 40/5278] eta: 4:01:29 lr: 1.9427383225800718e-05 loss: 0.0526 (0.0649) loss_seg: 0.0522 (0.0644) loss_lansim: 0.0440 (0.0449) loss_contra: 0.0003 (0.0023) time: 2.7661 data: 0.0397 max mem: 31630 Epoch: [26] [ 50/5278] eta: 4:00:01 lr: 1.9425015652810917e-05 loss: 0.0526 (0.0624) loss_seg: 0.0520 (0.0619) loss_lansim: 0.0439 (0.0448) loss_contra: 0.0003 (0.0021) time: 2.7547 data: 0.0330 max mem: 31630 Epoch: [26] [ 60/5278] eta: 3:59:01 lr: 1.942264804775778e-05 loss: 0.0509 (0.0604) loss_seg: 0.0503 (0.0600) loss_lansim: 0.0438 (0.0449) loss_contra: 0.0003 (0.0018) time: 2.7484 data: 0.0285 max mem: 31630 Epoch: [26] [ 70/5278] eta: 3:58:00 lr: 1.9420280410636534e-05 loss: 0.0500 (0.0582) loss_seg: 0.0496 (0.0577) loss_lansim: 0.0431 (0.0445) loss_contra: 0.0003 (0.0020) time: 2.7420 data: 0.0253 max mem: 31630 Epoch: [26] [ 80/5278] eta: 3:57:04 lr: 1.9417912741442388e-05 loss: 0.0502 (0.0574) loss_seg: 0.0496 (0.0570) loss_lansim: 0.0431 (0.0441) loss_contra: 0.0003 (0.0019) time: 2.7366 data: 0.0228 max mem: 31630 Epoch: [26] [ 90/5278] eta: 3:56:44 lr: 1.9415545040170562e-05 loss: 0.0508 (0.0573) loss_seg: 0.0502 (0.0568) loss_lansim: 0.0438 (0.0443) loss_contra: 0.0003 (0.0022) time: 2.7379 data: 0.0210 max mem: 31630 Epoch: [26] [ 100/5278] eta: 3:55:54 lr: 1.9413177306816285e-05 loss: 0.0508 (0.0569) loss_seg: 0.0502 (0.0564) loss_lansim: 0.0439 (0.0447) loss_contra: 0.0003 (0.0021) time: 2.7184 data: 0.0055 max mem: 31630 Epoch: [26] [ 110/5278] eta: 3:55:36 lr: 1.9410809541374774e-05 loss: 0.0500 (0.0573) loss_seg: 0.0496 (0.0568) loss_lansim: 0.0439 (0.0447) loss_contra: 0.0004 (0.0026) time: 2.7215 data: 0.0056 max mem: 31630 Epoch: [26] [ 120/5278] eta: 3:55:04 lr: 1.9408441743841235e-05 loss: 0.0492 (0.0564) loss_seg: 0.0487 (0.0560) loss_lansim: 0.0438 (0.0447) loss_contra: 0.0004 (0.0028) time: 2.7188 data: 0.0057 max mem: 31630 Epoch: [26] [ 130/5278] eta: 3:54:33 lr: 1.9406073914210886e-05 loss: 0.0494 (0.0565) loss_seg: 0.0490 (0.0561) loss_lansim: 0.0439 (0.0449) loss_contra: 0.0003 (0.0027) time: 2.7216 data: 0.0058 max mem: 31630 Epoch: [26] [ 140/5278] eta: 3:54:08 lr: 1.9403706052478948e-05 loss: 0.0492 (0.0562) loss_seg: 0.0487 (0.0557) loss_lansim: 0.0439 (0.0448) loss_contra: 0.0003 (0.0025) time: 2.7211 data: 0.0058 max mem: 31630 Epoch: [26] [ 150/5278] eta: 3:53:35 lr: 1.9401338158640632e-05 loss: 0.0494 (0.0558) loss_seg: 0.0490 (0.0553) loss_lansim: 0.0439 (0.0446) loss_contra: 0.0003 (0.0024) time: 2.7220 data: 0.0058 max mem: 31630 Epoch: [26] [ 160/5278] eta: 3:53:09 lr: 1.9398970232691135e-05 loss: 0.0497 (0.0557) loss_seg: 0.0493 (0.0553) loss_lansim: 0.0439 (0.0446) loss_contra: 0.0003 (0.0022) time: 2.7242 data: 0.0058 max mem: 31630 Epoch: [26] [ 170/5278] eta: 3:52:31 lr: 1.9396602274625678e-05 loss: 0.0503 (0.0552) loss_seg: 0.0498 (0.0548) loss_lansim: 0.0442 (0.0445) loss_contra: 0.0002 (0.0021) time: 2.7239 data: 0.0059 max mem: 31630 Epoch: [26] [ 180/5278] eta: 3:52:11 lr: 1.9394234284439465e-05 loss: 0.0503 (0.0555) loss_seg: 0.0498 (0.0550) loss_lansim: 0.0439 (0.0442) loss_contra: 0.0002 (0.0020) time: 2.7296 data: 0.0059 max mem: 31630 Epoch: [26] [ 190/5278] eta: 3:51:40 lr: 1.939186626212771e-05 loss: 0.0496 (0.0550) loss_seg: 0.0492 (0.0545) loss_lansim: 0.0434 (0.0441) loss_contra: 0.0003 (0.0020) time: 2.7266 data: 0.0059 max mem: 31630 Epoch: [26] [ 200/5278] eta: 3:51:12 lr: 1.938949820768561e-05 loss: 0.0492 (0.0547) loss_seg: 0.0487 (0.0542) loss_lansim: 0.0431 (0.0440) loss_contra: 0.0002 (0.0019) time: 2.7302 data: 0.0059 max mem: 31630 Epoch: [26] [ 210/5278] eta: 3:50:42 lr: 1.9387130121108373e-05 loss: 0.0496 (0.0548) loss_seg: 0.0492 (0.0544) loss_lansim: 0.0431 (0.0442) loss_contra: 0.0002 (0.0019) time: 2.7269 data: 0.0059 max mem: 31630 Epoch: [26] [ 220/5278] eta: 3:50:12 lr: 1.9384762002391195e-05 loss: 0.0492 (0.0542) loss_seg: 0.0488 (0.0537) loss_lansim: 0.0430 (0.0441) loss_contra: 0.0002 (0.0019) time: 2.7263 data: 0.0058 max mem: 31630 Epoch: [26] [ 230/5278] eta: 3:49:49 lr: 1.9382393851529283e-05 loss: 0.0484 (0.0543) loss_seg: 0.0479 (0.0538) loss_lansim: 0.0430 (0.0442) loss_contra: 0.0002 (0.0018) time: 2.7291 data: 0.0058 max mem: 31630 Epoch: [26] [ 240/5278] eta: 3:49:12 lr: 1.938002566851784e-05 loss: 0.0490 (0.0541) loss_seg: 0.0486 (0.0536) loss_lansim: 0.0430 (0.0442) loss_contra: 0.0002 (0.0018) time: 2.7236 data: 0.0059 max mem: 31630 Epoch: [26] [ 250/5278] eta: 3:48:46 lr: 1.9377657453352052e-05 loss: 0.0490 (0.0540) loss_seg: 0.0486 (0.0536) loss_lansim: 0.0430 (0.0443) loss_contra: 0.0002 (0.0021) time: 2.7255 data: 0.0058 max mem: 31630 Epoch: [26] [ 260/5278] eta: 3:48:16 lr: 1.9375289206027128e-05 loss: 0.0492 (0.0546) loss_seg: 0.0488 (0.0542) loss_lansim: 0.0430 (0.0444) loss_contra: 0.0002 (0.0021) time: 2.7233 data: 0.0058 max mem: 31630 Epoch: [26] [ 270/5278] eta: 3:47:50 lr: 1.937292092653826e-05 loss: 0.0492 (0.0543) loss_seg: 0.0488 (0.0538) loss_lansim: 0.0431 (0.0444) loss_contra: 0.0003 (0.0020) time: 2.7269 data: 0.0057 max mem: 31630 Epoch: [26] [ 280/5278] eta: 3:47:20 lr: 1.937055261488064e-05 loss: 0.0490 (0.0544) loss_seg: 0.0486 (0.0539) loss_lansim: 0.0442 (0.0445) loss_contra: 0.0002 (0.0020) time: 2.7229 data: 0.0057 max mem: 31630 Epoch: [26] [ 290/5278] eta: 3:46:47 lr: 1.9368184271049464e-05 loss: 0.0490 (0.0543) loss_seg: 0.0486 (0.0538) loss_lansim: 0.0445 (0.0446) loss_contra: 0.0002 (0.0034) time: 2.7205 data: 0.0056 max mem: 31630 Epoch: [26] [ 300/5278] eta: 3:46:18 lr: 1.936581589503992e-05 loss: 0.0490 (0.0540) loss_seg: 0.0486 (0.0535) loss_lansim: 0.0447 (0.0447) loss_contra: 0.0003 (0.0035) time: 2.7194 data: 0.0057 max mem: 31630 Epoch: [26] [ 310/5278] eta: 3:45:47 lr: 1.9363447486847196e-05 loss: 0.0471 (0.0537) loss_seg: 0.0466 (0.0532) loss_lansim: 0.0452 (0.0448) loss_contra: 0.0003 (0.0047) time: 2.7179 data: 0.0056 max mem: 31630 Epoch: [26] [ 320/5278] eta: 3:45:20 lr: 1.9361079046466495e-05 loss: 0.0475 (0.0535) loss_seg: 0.0470 (0.0530) loss_lansim: 0.0456 (0.0448) loss_contra: 0.0003 (0.0046) time: 2.7184 data: 0.0055 max mem: 31630 Epoch: [26] [ 330/5278] eta: 3:44:42 lr: 1.935871057389299e-05 loss: 0.0477 (0.0534) loss_seg: 0.0471 (0.0529) loss_lansim: 0.0458 (0.0449) loss_contra: 0.0003 (0.0044) time: 2.7091 data: 0.0055 max mem: 31630 Epoch: [26] [ 340/5278] eta: 3:44:13 lr: 1.9356342069121867e-05 loss: 0.0497 (0.0536) loss_seg: 0.0492 (0.0531) loss_lansim: 0.0461 (0.0449) loss_contra: 0.0003 (0.0044) time: 2.7118 data: 0.0055 max mem: 31630 Epoch: [26] [ 350/5278] eta: 3:43:37 lr: 1.9353973532148314e-05 loss: 0.0477 (0.0534) loss_seg: 0.0473 (0.0529) loss_lansim: 0.0458 (0.0449) loss_contra: 0.0003 (0.0043) time: 2.7046 data: 0.0055 max mem: 31630 Epoch: [26] [ 360/5278] eta: 3:43:09 lr: 1.9351604962967523e-05 loss: 0.0457 (0.0534) loss_seg: 0.0452 (0.0529) loss_lansim: 0.0459 (0.0450) loss_contra: 0.0003 (0.0053) time: 2.7045 data: 0.0055 max mem: 31630 Epoch: [26] [ 370/5278] eta: 3:42:35 lr: 1.934923636157466e-05 loss: 0.0457 (0.0533) loss_seg: 0.0452 (0.0528) loss_lansim: 0.0459 (0.0450) loss_contra: 0.0003 (0.0051) time: 2.6981 data: 0.0055 max mem: 31630 Epoch: [26] [ 380/5278] eta: 3:42:06 lr: 1.9346867727964915e-05 loss: 0.0457 (0.0533) loss_seg: 0.0452 (0.0528) loss_lansim: 0.0459 (0.0450) loss_contra: 0.0003 (0.0051) time: 2.6974 data: 0.0055 max mem: 31630 Epoch: [26] [ 390/5278] eta: 3:41:31 lr: 1.9344499062133463e-05 loss: 0.0469 (0.0533) loss_seg: 0.0465 (0.0528) loss_lansim: 0.0462 (0.0451) loss_contra: 0.0002 (0.0050) time: 2.6938 data: 0.0055 max mem: 31630 Epoch: [26] [ 400/5278] eta: 3:41:05 lr: 1.9342130364075494e-05 loss: 0.0472 (0.0537) loss_seg: 0.0466 (0.0532) loss_lansim: 0.0461 (0.0450) loss_contra: 0.0002 (0.0049) time: 2.6947 data: 0.0054 max mem: 31630 Epoch: [26] [ 410/5278] eta: 3:40:33 lr: 1.9339761633786166e-05 loss: 0.0477 (0.0538) loss_seg: 0.0473 (0.0533) loss_lansim: 0.0461 (0.0452) loss_contra: 0.0002 (0.0048) time: 2.6914 data: 0.0053 max mem: 31630 Epoch: [26] [ 420/5278] eta: 3:40:06 lr: 1.933739287126066e-05 loss: 0.0499 (0.0537) loss_seg: 0.0493 (0.0532) loss_lansim: 0.0464 (0.0452) loss_contra: 0.0002 (0.0047) time: 2.6917 data: 0.0054 max mem: 31630 Epoch: [26] [ 430/5278] eta: 3:39:33 lr: 1.933502407649416e-05 loss: 0.0482 (0.0536) loss_seg: 0.0476 (0.0531) loss_lansim: 0.0461 (0.0453) loss_contra: 0.0003 (0.0049) time: 2.6924 data: 0.0053 max mem: 31630 Epoch: [26] [ 440/5278] eta: 3:39:05 lr: 1.9332655249481824e-05 loss: 0.0472 (0.0535) loss_seg: 0.0467 (0.0530) loss_lansim: 0.0464 (0.0453) loss_contra: 0.0003 (0.0049) time: 2.6921 data: 0.0053 max mem: 31630 Epoch: [26] [ 450/5278] eta: 3:38:37 lr: 1.9330286390218835e-05 loss: 0.0472 (0.0535) loss_seg: 0.0468 (0.0530) loss_lansim: 0.0468 (0.0454) loss_contra: 0.0003 (0.0050) time: 2.6969 data: 0.0053 max mem: 31630 Epoch: [26] [ 460/5278] eta: 3:38:12 lr: 1.9327917498700353e-05 loss: 0.0477 (0.0535) loss_seg: 0.0473 (0.0530) loss_lansim: 0.0467 (0.0454) loss_contra: 0.0003 (0.0049) time: 2.6985 data: 0.0054 max mem: 31630 Epoch: [26] [ 470/5278] eta: 3:37:41 lr: 1.9325548574921547e-05 loss: 0.0497 (0.0535) loss_seg: 0.0492 (0.0530) loss_lansim: 0.0469 (0.0454) loss_contra: 0.0004 (0.0048) time: 2.6993 data: 0.0054 max mem: 31630 Epoch: [26] [ 480/5278] eta: 3:37:16 lr: 1.932317961887759e-05 loss: 0.0485 (0.0533) loss_seg: 0.0481 (0.0528) loss_lansim: 0.0471 (0.0455) loss_contra: 0.0004 (0.0047) time: 2.7026 data: 0.0054 max mem: 31630 Epoch: [26] [ 490/5278] eta: 3:36:47 lr: 1.932081063056365e-05 loss: 0.0485 (0.0533) loss_seg: 0.0481 (0.0528) loss_lansim: 0.0473 (0.0456) loss_contra: 0.0004 (0.0047) time: 2.7065 data: 0.0054 max mem: 31630 Epoch: [26] [ 500/5278] eta: 3:36:21 lr: 1.9318441609974873e-05 loss: 0.0497 (0.0535) loss_seg: 0.0492 (0.0530) loss_lansim: 0.0476 (0.0456) loss_contra: 0.0004 (0.0047) time: 2.7066 data: 0.0054 max mem: 31630 Epoch: [26] [ 510/5278] eta: 3:35:51 lr: 1.9316072557106437e-05 loss: 0.0479 (0.0534) loss_seg: 0.0475 (0.0529) loss_lansim: 0.0476 (0.0456) loss_contra: 0.0003 (0.0046) time: 2.7080 data: 0.0054 max mem: 31630 Epoch: [26] [ 520/5278] eta: 3:35:24 lr: 1.93137034719535e-05 loss: 0.0495 (0.0535) loss_seg: 0.0489 (0.0530) loss_lansim: 0.0474 (0.0456) loss_contra: 0.0003 (0.0045) time: 2.7073 data: 0.0054 max mem: 31630 Epoch: [26] [ 530/5278] eta: 3:34:57 lr: 1.9311334354511226e-05 loss: 0.0495 (0.0535) loss_seg: 0.0489 (0.0530) loss_lansim: 0.0476 (0.0457) loss_contra: 0.0003 (0.0044) time: 2.7120 data: 0.0054 max mem: 31630 Epoch: [26] [ 540/5278] eta: 3:34:31 lr: 1.9308965204774764e-05 loss: 0.0504 (0.0536) loss_seg: 0.0499 (0.0531) loss_lansim: 0.0470 (0.0457) loss_contra: 0.0003 (0.0044) time: 2.7145 data: 0.0054 max mem: 31630 Epoch: [26] [ 550/5278] eta: 3:34:04 lr: 1.9306596022739272e-05 loss: 0.0516 (0.0535) loss_seg: 0.0511 (0.0530) loss_lansim: 0.0469 (0.0457) loss_contra: 0.0003 (0.0043) time: 2.7154 data: 0.0053 max mem: 31630 Epoch: [26] [ 560/5278] eta: 3:33:35 lr: 1.9304226808399912e-05 loss: 0.0516 (0.0535) loss_seg: 0.0511 (0.0530) loss_lansim: 0.0469 (0.0458) loss_contra: 0.0003 (0.0043) time: 2.7112 data: 0.0053 max mem: 31630 Epoch: [26] [ 570/5278] eta: 3:33:08 lr: 1.930185756175184e-05 loss: 0.0495 (0.0533) loss_seg: 0.0489 (0.0528) loss_lansim: 0.0463 (0.0457) loss_contra: 0.0003 (0.0043) time: 2.7158 data: 0.0053 max mem: 31630 Epoch: [26] [ 580/5278] eta: 3:32:40 lr: 1.9299488282790197e-05 loss: 0.0495 (0.0533) loss_seg: 0.0491 (0.0528) loss_lansim: 0.0459 (0.0457) loss_contra: 0.0002 (0.0042) time: 2.7121 data: 0.0053 max mem: 31630 Epoch: [26] [ 590/5278] eta: 3:32:15 lr: 1.9297118971510142e-05 loss: 0.0495 (0.0533) loss_seg: 0.0489 (0.0528) loss_lansim: 0.0459 (0.0457) loss_contra: 0.0003 (0.0042) time: 2.7160 data: 0.0053 max mem: 31630 Epoch: [26] [ 600/5278] eta: 3:31:47 lr: 1.929474962790683e-05 loss: 0.0477 (0.0532) loss_seg: 0.0471 (0.0527) loss_lansim: 0.0454 (0.0457) loss_contra: 0.0003 (0.0042) time: 2.7141 data: 0.0053 max mem: 31630 Epoch: [26] [ 610/5278] eta: 3:31:20 lr: 1.9292380251975402e-05 loss: 0.0470 (0.0532) loss_seg: 0.0466 (0.0526) loss_lansim: 0.0450 (0.0457) loss_contra: 0.0003 (0.0046) time: 2.7175 data: 0.0053 max mem: 31630 Epoch: [26] [ 620/5278] eta: 3:30:52 lr: 1.9290010843711007e-05 loss: 0.0462 (0.0530) loss_seg: 0.0457 (0.0525) loss_lansim: 0.0451 (0.0457) loss_contra: 0.0004 (0.0045) time: 2.7165 data: 0.0053 max mem: 31630 Epoch: [26] [ 630/5278] eta: 3:30:25 lr: 1.928764140310879e-05 loss: 0.0462 (0.0530) loss_seg: 0.0457 (0.0525) loss_lansim: 0.0453 (0.0458) loss_contra: 0.0004 (0.0045) time: 2.7166 data: 0.0053 max mem: 31630 Epoch: [26] [ 640/5278] eta: 3:29:57 lr: 1.92852719301639e-05 loss: 0.0462 (0.0530) loss_seg: 0.0457 (0.0525) loss_lansim: 0.0453 (0.0458) loss_contra: 0.0004 (0.0044) time: 2.7131 data: 0.0053 max mem: 31630 Epoch: [26] [ 650/5278] eta: 3:29:28 lr: 1.928290242487148e-05 loss: 0.0462 (0.0529) loss_seg: 0.0456 (0.0524) loss_lansim: 0.0450 (0.0457) loss_contra: 0.0004 (0.0047) time: 2.7102 data: 0.0053 max mem: 31630 Epoch: [26] [ 660/5278] eta: 3:29:02 lr: 1.9280532887226663e-05 loss: 0.0458 (0.0530) loss_seg: 0.0452 (0.0525) loss_lansim: 0.0449 (0.0457) loss_contra: 0.0004 (0.0047) time: 2.7143 data: 0.0053 max mem: 31630 Epoch: [26] [ 670/5278] eta: 3:28:34 lr: 1.9278163317224596e-05 loss: 0.0468 (0.0531) loss_seg: 0.0458 (0.0526) loss_lansim: 0.0453 (0.0457) loss_contra: 0.0004 (0.0047) time: 2.7126 data: 0.0053 max mem: 31630 Epoch: [26] [ 680/5278] eta: 3:28:08 lr: 1.9275793714860415e-05 loss: 0.0484 (0.0532) loss_seg: 0.0475 (0.0527) loss_lansim: 0.0454 (0.0457) loss_contra: 0.0004 (0.0046) time: 2.7157 data: 0.0053 max mem: 31630 Epoch: [26] [ 690/5278] eta: 3:27:38 lr: 1.9273424080129262e-05 loss: 0.0487 (0.0532) loss_seg: 0.0480 (0.0527) loss_lansim: 0.0453 (0.0457) loss_contra: 0.0004 (0.0046) time: 2.7093 data: 0.0053 max mem: 31630 Epoch: [26] [ 700/5278] eta: 3:27:13 lr: 1.9271054413026276e-05 loss: 0.0489 (0.0532) loss_seg: 0.0484 (0.0527) loss_lansim: 0.0457 (0.0457) loss_contra: 0.0005 (0.0047) time: 2.7123 data: 0.0053 max mem: 31630 Epoch: [26] [ 710/5278] eta: 3:26:45 lr: 1.9268684713546583e-05 loss: 0.0497 (0.0532) loss_seg: 0.0493 (0.0527) loss_lansim: 0.0458 (0.0457) loss_contra: 0.0004 (0.0046) time: 2.7115 data: 0.0054 max mem: 31630 Epoch: [26] [ 720/5278] eta: 3:26:17 lr: 1.9266314981685318e-05 loss: 0.0497 (0.0531) loss_seg: 0.0493 (0.0526) loss_lansim: 0.0462 (0.0458) loss_contra: 0.0003 (0.0046) time: 2.7111 data: 0.0054 max mem: 31630 Epoch: [26] [ 730/5278] eta: 3:25:51 lr: 1.9263945217437617e-05 loss: 0.0497 (0.0531) loss_seg: 0.0493 (0.0526) loss_lansim: 0.0462 (0.0458) loss_contra: 0.0003 (0.0045) time: 2.7119 data: 0.0054 max mem: 31630 Epoch: [26] [ 740/5278] eta: 3:25:23 lr: 1.926157542079861e-05 loss: 0.0497 (0.0530) loss_seg: 0.0493 (0.0525) loss_lansim: 0.0459 (0.0458) loss_contra: 0.0002 (0.0045) time: 2.7124 data: 0.0054 max mem: 31630 Epoch: [26] [ 750/5278] eta: 3:24:57 lr: 1.925920559176342e-05 loss: 0.0517 (0.0531) loss_seg: 0.0513 (0.0526) loss_lansim: 0.0463 (0.0459) loss_contra: 0.0002 (0.0045) time: 2.7176 data: 0.0054 max mem: 31630 Epoch: [26] [ 760/5278] eta: 3:24:29 lr: 1.925683573032718e-05 loss: 0.0520 (0.0531) loss_seg: 0.0515 (0.0526) loss_lansim: 0.0463 (0.0459) loss_contra: 0.0002 (0.0044) time: 2.7145 data: 0.0054 max mem: 31630 Epoch: [26] [ 770/5278] eta: 3:24:03 lr: 1.9254465836485016e-05 loss: 0.0517 (0.0531) loss_seg: 0.0513 (0.0526) loss_lansim: 0.0463 (0.0459) loss_contra: 0.0002 (0.0044) time: 2.7159 data: 0.0054 max mem: 31630 Epoch: [26] [ 780/5278] eta: 3:23:34 lr: 1.925209591023206e-05 loss: 0.0493 (0.0531) loss_seg: 0.0488 (0.0526) loss_lansim: 0.0463 (0.0459) loss_contra: 0.0002 (0.0043) time: 2.7121 data: 0.0054 max mem: 31630 Epoch: [26] [ 790/5278] eta: 3:23:08 lr: 1.924972595156342e-05 loss: 0.0499 (0.0532) loss_seg: 0.0493 (0.0527) loss_lansim: 0.0465 (0.0459) loss_contra: 0.0002 (0.0043) time: 2.7170 data: 0.0054 max mem: 31630 Epoch: [26] [ 800/5278] eta: 3:22:41 lr: 1.924735596047423e-05 loss: 0.0509 (0.0532) loss_seg: 0.0502 (0.0527) loss_lansim: 0.0466 (0.0459) loss_contra: 0.0002 (0.0042) time: 2.7153 data: 0.0054 max mem: 31630 Epoch: [26] [ 810/5278] eta: 3:22:14 lr: 1.9244985936959605e-05 loss: 0.0496 (0.0531) loss_seg: 0.0491 (0.0526) loss_lansim: 0.0467 (0.0460) loss_contra: 0.0002 (0.0042) time: 2.7160 data: 0.0054 max mem: 31630 Epoch: [26] [ 820/5278] eta: 3:21:49 lr: 1.924261588101467e-05 loss: 0.0510 (0.0531) loss_seg: 0.0505 (0.0526) loss_lansim: 0.0465 (0.0460) loss_contra: 0.0003 (0.0042) time: 2.7214 data: 0.0053 max mem: 31630 Epoch: [26] [ 830/5278] eta: 3:21:21 lr: 1.9240245792634535e-05 loss: 0.0538 (0.0533) loss_seg: 0.0533 (0.0528) loss_lansim: 0.0462 (0.0460) loss_contra: 0.0003 (0.0042) time: 2.7184 data: 0.0054 max mem: 31630 Epoch: [26] [ 840/5278] eta: 3:20:54 lr: 1.9237875671814322e-05 loss: 0.0538 (0.0532) loss_seg: 0.0532 (0.0527) loss_lansim: 0.0467 (0.0460) loss_contra: 0.0003 (0.0042) time: 2.7203 data: 0.0054 max mem: 31630 Epoch: [26] [ 850/5278] eta: 3:20:26 lr: 1.9235505518549145e-05 loss: 0.0503 (0.0532) loss_seg: 0.0498 (0.0527) loss_lansim: 0.0467 (0.0461) loss_contra: 0.0003 (0.0042) time: 2.7161 data: 0.0054 max mem: 31630 Epoch: [26] [ 860/5278] eta: 3:19:59 lr: 1.9233135332834125e-05 loss: 0.0498 (0.0533) loss_seg: 0.0494 (0.0528) loss_lansim: 0.0469 (0.0461) loss_contra: 0.0004 (0.0042) time: 2.7175 data: 0.0054 max mem: 31630 Epoch: [26] [ 870/5278] eta: 3:19:31 lr: 1.923076511466436e-05 loss: 0.0505 (0.0534) loss_seg: 0.0501 (0.0528) loss_lansim: 0.0472 (0.0461) loss_contra: 0.0004 (0.0042) time: 2.7150 data: 0.0054 max mem: 31630 Epoch: [26] [ 880/5278] eta: 3:19:04 lr: 1.922839486403497e-05 loss: 0.0506 (0.0533) loss_seg: 0.0501 (0.0528) loss_lansim: 0.0475 (0.0461) loss_contra: 0.0005 (0.0042) time: 2.7189 data: 0.0054 max mem: 31630 Epoch: [26] [ 890/5278] eta: 3:18:38 lr: 1.922602458094106e-05 loss: 0.0503 (0.0535) loss_seg: 0.0498 (0.0530) loss_lansim: 0.0472 (0.0461) loss_contra: 0.0004 (0.0042) time: 2.7192 data: 0.0054 max mem: 31630 Epoch: [26] [ 900/5278] eta: 3:18:10 lr: 1.922365426537775e-05 loss: 0.0498 (0.0535) loss_seg: 0.0494 (0.0530) loss_lansim: 0.0470 (0.0461) loss_contra: 0.0004 (0.0041) time: 2.7178 data: 0.0054 max mem: 31630 Epoch: [26] [ 910/5278] eta: 3:17:45 lr: 1.9221283917340126e-05 loss: 0.0506 (0.0536) loss_seg: 0.0501 (0.0531) loss_lansim: 0.0472 (0.0462) loss_contra: 0.0003 (0.0041) time: 2.7207 data: 0.0054 max mem: 31630 Epoch: [26] [ 920/5278] eta: 3:17:16 lr: 1.921891353682331e-05 loss: 0.0505 (0.0535) loss_seg: 0.0501 (0.0530) loss_lansim: 0.0472 (0.0462) loss_contra: 0.0003 (0.0041) time: 2.7131 data: 0.0055 max mem: 31630 Epoch: [26] [ 930/5278] eta: 3:16:50 lr: 1.92165431238224e-05 loss: 0.0500 (0.0535) loss_seg: 0.0496 (0.0530) loss_lansim: 0.0472 (0.0462) loss_contra: 0.0003 (0.0040) time: 2.7175 data: 0.0054 max mem: 31630 Epoch: [26] [ 940/5278] eta: 3:16:21 lr: 1.92141726783325e-05 loss: 0.0503 (0.0538) loss_seg: 0.0498 (0.0533) loss_lansim: 0.0473 (0.0463) loss_contra: 0.0003 (0.0040) time: 2.7144 data: 0.0054 max mem: 31630 Epoch: [26] [ 950/5278] eta: 3:15:56 lr: 1.9211802200348713e-05 loss: 0.0511 (0.0538) loss_seg: 0.0505 (0.0533) loss_lansim: 0.0478 (0.0463) loss_contra: 0.0003 (0.0040) time: 2.7203 data: 0.0054 max mem: 31630 Epoch: [26] [ 960/5278] eta: 3:15:28 lr: 1.9209431689866134e-05 loss: 0.0513 (0.0538) loss_seg: 0.0508 (0.0533) loss_lansim: 0.0478 (0.0464) loss_contra: 0.0003 (0.0040) time: 2.7180 data: 0.0054 max mem: 31630 Epoch: [26] [ 970/5278] eta: 3:15:02 lr: 1.920706114687986e-05 loss: 0.0511 (0.0538) loss_seg: 0.0505 (0.0533) loss_lansim: 0.0486 (0.0464) loss_contra: 0.0002 (0.0039) time: 2.7227 data: 0.0054 max mem: 31630 Epoch: [26] [ 980/5278] eta: 3:14:34 lr: 1.9204690571384992e-05 loss: 0.0514 (0.0538) loss_seg: 0.0509 (0.0533) loss_lansim: 0.0486 (0.0464) loss_contra: 0.0002 (0.0039) time: 2.7188 data: 0.0054 max mem: 31630 Epoch: [26] [ 990/5278] eta: 3:14:07 lr: 1.9202319963376632e-05 loss: 0.0496 (0.0537) loss_seg: 0.0491 (0.0532) loss_lansim: 0.0494 (0.0465) loss_contra: 0.0002 (0.0039) time: 2.7186 data: 0.0054 max mem: 31630 Epoch: [26] [1000/5278] eta: 3:13:40 lr: 1.9199949322849857e-05 loss: 0.0494 (0.0537) loss_seg: 0.0489 (0.0532) loss_lansim: 0.0490 (0.0465) loss_contra: 0.0002 (0.0038) time: 2.7182 data: 0.0054 max mem: 31630 Epoch: [26] [1010/5278] eta: 3:13:12 lr: 1.919757864979977e-05 loss: 0.0482 (0.0537) loss_seg: 0.0477 (0.0532) loss_lansim: 0.0494 (0.0465) loss_contra: 0.0002 (0.0038) time: 2.7133 data: 0.0054 max mem: 31630 Epoch: [26] [1020/5278] eta: 3:12:45 lr: 1.9195207944221465e-05 loss: 0.0494 (0.0537) loss_seg: 0.0489 (0.0532) loss_lansim: 0.0490 (0.0465) loss_contra: 0.0002 (0.0038) time: 2.7176 data: 0.0054 max mem: 31630 Epoch: [26] [1030/5278] eta: 3:12:17 lr: 1.9192837206110033e-05 loss: 0.0473 (0.0535) loss_seg: 0.0468 (0.0530) loss_lansim: 0.0486 (0.0465) loss_contra: 0.0002 (0.0038) time: 2.7132 data: 0.0054 max mem: 31630 Epoch: [26] [1040/5278] eta: 3:11:49 lr: 1.919046643546055e-05 loss: 0.0473 (0.0536) loss_seg: 0.0468 (0.0531) loss_lansim: 0.0481 (0.0465) loss_contra: 0.0002 (0.0038) time: 2.7141 data: 0.0054 max mem: 31630 Epoch: [26] [1050/5278] eta: 3:11:21 lr: 1.918809563226811e-05 loss: 0.0476 (0.0537) loss_seg: 0.0468 (0.0532) loss_lansim: 0.0480 (0.0466) loss_contra: 0.0002 (0.0038) time: 2.7073 data: 0.0054 max mem: 31630 Epoch: [26] [1060/5278] eta: 3:10:53 lr: 1.9185724796527802e-05 loss: 0.0473 (0.0537) loss_seg: 0.0468 (0.0532) loss_lansim: 0.0481 (0.0466) loss_contra: 0.0002 (0.0039) time: 2.7071 data: 0.0055 max mem: 31630 Epoch: [26] [1070/5278] eta: 3:10:25 lr: 1.918335392823471e-05 loss: 0.0473 (0.0537) loss_seg: 0.0468 (0.0532) loss_lansim: 0.0478 (0.0466) loss_contra: 0.0003 (0.0039) time: 2.7032 data: 0.0055 max mem: 31630 Epoch: [26] [1080/5278] eta: 3:09:58 lr: 1.918098302738391e-05 loss: 0.0471 (0.0537) loss_seg: 0.0465 (0.0532) loss_lansim: 0.0480 (0.0466) loss_contra: 0.0003 (0.0039) time: 2.7038 data: 0.0056 max mem: 31630 Epoch: [26] [1090/5278] eta: 3:09:31 lr: 1.9178612093970485e-05 loss: 0.0471 (0.0536) loss_seg: 0.0465 (0.0531) loss_lansim: 0.0478 (0.0466) loss_contra: 0.0003 (0.0038) time: 2.7034 data: 0.0056 max mem: 31630 Epoch: [26] [1100/5278] eta: 3:09:04 lr: 1.9176241127989518e-05 loss: 0.0473 (0.0536) loss_seg: 0.0468 (0.0531) loss_lansim: 0.0478 (0.0466) loss_contra: 0.0003 (0.0038) time: 2.7062 data: 0.0055 max mem: 31630 Epoch: [26] [1110/5278] eta: 3:08:36 lr: 1.917387012943609e-05 loss: 0.0469 (0.0536) loss_seg: 0.0464 (0.0531) loss_lansim: 0.0478 (0.0466) loss_contra: 0.0003 (0.0038) time: 2.7050 data: 0.0055 max mem: 31630 Epoch: [26] [1120/5278] eta: 3:08:10 lr: 1.917149909830527e-05 loss: 0.0469 (0.0536) loss_seg: 0.0464 (0.0531) loss_lansim: 0.0481 (0.0467) loss_contra: 0.0003 (0.0038) time: 2.7073 data: 0.0056 max mem: 31630 Epoch: [26] [1130/5278] eta: 3:07:43 lr: 1.916912803459214e-05 loss: 0.0487 (0.0538) loss_seg: 0.0481 (0.0533) loss_lansim: 0.0480 (0.0467) loss_contra: 0.0003 (0.0038) time: 2.7087 data: 0.0056 max mem: 31630 Epoch: [26] [1140/5278] eta: 3:07:16 lr: 1.9166756938291773e-05 loss: 0.0477 (0.0538) loss_seg: 0.0473 (0.0532) loss_lansim: 0.0483 (0.0467) loss_contra: 0.0003 (0.0038) time: 2.7119 data: 0.0056 max mem: 31630 Epoch: [26] [1150/5278] eta: 3:06:49 lr: 1.9164385809399244e-05 loss: 0.0477 (0.0538) loss_seg: 0.0473 (0.0533) loss_lansim: 0.0486 (0.0467) loss_contra: 0.0003 (0.0037) time: 2.7143 data: 0.0056 max mem: 31630 Epoch: [26] [1160/5278] eta: 3:06:22 lr: 1.9162014647909612e-05 loss: 0.0500 (0.0539) loss_seg: 0.0495 (0.0534) loss_lansim: 0.0481 (0.0467) loss_contra: 0.0003 (0.0039) time: 2.7171 data: 0.0056 max mem: 31630 Epoch: [26] [1170/5278] eta: 3:05:55 lr: 1.915964345381796e-05 loss: 0.0498 (0.0539) loss_seg: 0.0493 (0.0534) loss_lansim: 0.0481 (0.0467) loss_contra: 0.0003 (0.0039) time: 2.7189 data: 0.0055 max mem: 31630 Epoch: [26] [1180/5278] eta: 3:05:27 lr: 1.9157272227119356e-05 loss: 0.0500 (0.0539) loss_seg: 0.0495 (0.0534) loss_lansim: 0.0484 (0.0467) loss_contra: 0.0003 (0.0039) time: 2.7164 data: 0.0055 max mem: 31630 Epoch: [26] [1190/5278] eta: 3:05:00 lr: 1.915490096780886e-05 loss: 0.0509 (0.0538) loss_seg: 0.0503 (0.0533) loss_lansim: 0.0492 (0.0468) loss_contra: 0.0003 (0.0038) time: 2.7192 data: 0.0055 max mem: 31630 Epoch: [26] [1200/5278] eta: 3:04:32 lr: 1.9152529675881544e-05 loss: 0.0509 (0.0540) loss_seg: 0.0504 (0.0534) loss_lansim: 0.0494 (0.0469) loss_contra: 0.0003 (0.0039) time: 2.7141 data: 0.0055 max mem: 31630 Epoch: [26] [1210/5278] eta: 3:04:06 lr: 1.915015835133247e-05 loss: 0.0530 (0.0540) loss_seg: 0.0525 (0.0535) loss_lansim: 0.0494 (0.0469) loss_contra: 0.0004 (0.0039) time: 2.7187 data: 0.0055 max mem: 31630 Epoch: [26] [1220/5278] eta: 3:03:38 lr: 1.9147786994156697e-05 loss: 0.0543 (0.0541) loss_seg: 0.0537 (0.0536) loss_lansim: 0.0497 (0.0469) loss_contra: 0.0004 (0.0038) time: 2.7145 data: 0.0054 max mem: 31630 Epoch: [26] [1230/5278] eta: 3:03:12 lr: 1.9145415604349286e-05 loss: 0.0523 (0.0540) loss_seg: 0.0518 (0.0535) loss_lansim: 0.0497 (0.0470) loss_contra: 0.0004 (0.0038) time: 2.7172 data: 0.0053 max mem: 31630 Epoch: [26] [1240/5278] eta: 3:02:44 lr: 1.9143044181905313e-05 loss: 0.0530 (0.0540) loss_seg: 0.0525 (0.0535) loss_lansim: 0.0496 (0.0470) loss_contra: 0.0005 (0.0038) time: 2.7153 data: 0.0053 max mem: 31630 Epoch: [26] [1250/5278] eta: 3:02:18 lr: 1.9140672726819813e-05 loss: 0.0522 (0.0539) loss_seg: 0.0517 (0.0534) loss_lansim: 0.0505 (0.0471) loss_contra: 0.0004 (0.0038) time: 2.7160 data: 0.0053 max mem: 31630 Epoch: [26] [1260/5278] eta: 3:01:52 lr: 1.913830123908786e-05 loss: 0.0486 (0.0538) loss_seg: 0.0480 (0.0533) loss_lansim: 0.0509 (0.0471) loss_contra: 0.0004 (0.0038) time: 2.7193 data: 0.0053 max mem: 31630 Epoch: [26] [1270/5278] eta: 3:01:24 lr: 1.9135929718704498e-05 loss: 0.0483 (0.0538) loss_seg: 0.0478 (0.0533) loss_lansim: 0.0510 (0.0471) loss_contra: 0.0004 (0.0038) time: 2.7159 data: 0.0053 max mem: 31630 Epoch: [26] [1280/5278] eta: 3:00:57 lr: 1.91335581656648e-05 loss: 0.0478 (0.0537) loss_seg: 0.0473 (0.0532) loss_lansim: 0.0510 (0.0471) loss_contra: 0.0003 (0.0037) time: 2.7223 data: 0.0053 max mem: 31630 Epoch: [26] [1290/5278] eta: 3:00:30 lr: 1.9131186579963793e-05 loss: 0.0471 (0.0537) loss_seg: 0.0466 (0.0532) loss_lansim: 0.0505 (0.0472) loss_contra: 0.0002 (0.0037) time: 2.7194 data: 0.0053 max mem: 31630 Epoch: [26] [1300/5278] eta: 3:00:03 lr: 1.9128814961596543e-05 loss: 0.0477 (0.0538) loss_seg: 0.0471 (0.0533) loss_lansim: 0.0498 (0.0472) loss_contra: 0.0002 (0.0037) time: 2.7244 data: 0.0053 max mem: 31630 Epoch: [26] [1310/5278] eta: 2:59:37 lr: 1.91264433105581e-05 loss: 0.0471 (0.0539) loss_seg: 0.0466 (0.0534) loss_lansim: 0.0508 (0.0472) loss_contra: 0.0002 (0.0037) time: 2.7237 data: 0.0053 max mem: 31630 Epoch: [26] [1320/5278] eta: 2:59:09 lr: 1.9124071626843513e-05 loss: 0.0471 (0.0539) loss_seg: 0.0466 (0.0534) loss_lansim: 0.0496 (0.0472) loss_contra: 0.0002 (0.0036) time: 2.7238 data: 0.0053 max mem: 31630 Epoch: [26] [1330/5278] eta: 2:58:43 lr: 1.912169991044782e-05 loss: 0.0468 (0.0539) loss_seg: 0.0463 (0.0534) loss_lansim: 0.0496 (0.0473) loss_contra: 0.0002 (0.0036) time: 2.7261 data: 0.0053 max mem: 31630 Epoch: [26] [1340/5278] eta: 2:58:15 lr: 1.911932816136608e-05 loss: 0.0448 (0.0538) loss_seg: 0.0443 (0.0533) loss_lansim: 0.0498 (0.0473) loss_contra: 0.0002 (0.0036) time: 2.7232 data: 0.0053 max mem: 31630 Epoch: [26] [1350/5278] eta: 2:57:49 lr: 1.9116956379593326e-05 loss: 0.0473 (0.0538) loss_seg: 0.0468 (0.0533) loss_lansim: 0.0495 (0.0473) loss_contra: 0.0002 (0.0036) time: 2.7244 data: 0.0053 max mem: 31630 Epoch: [26] [1360/5278] eta: 2:57:21 lr: 1.9114584565124612e-05 loss: 0.0477 (0.0537) loss_seg: 0.0472 (0.0532) loss_lansim: 0.0496 (0.0473) loss_contra: 0.0002 (0.0037) time: 2.7201 data: 0.0053 max mem: 31630 Epoch: [26] [1370/5278] eta: 2:56:54 lr: 1.9112212717954964e-05 loss: 0.0477 (0.0537) loss_seg: 0.0472 (0.0532) loss_lansim: 0.0501 (0.0473) loss_contra: 0.0002 (0.0037) time: 2.7219 data: 0.0053 max mem: 31630 Epoch: [26] [1380/5278] eta: 2:56:26 lr: 1.9109840838079434e-05 loss: 0.0474 (0.0536) loss_seg: 0.0469 (0.0531) loss_lansim: 0.0502 (0.0474) loss_contra: 0.0002 (0.0036) time: 2.7183 data: 0.0053 max mem: 31630 Epoch: [26] [1390/5278] eta: 2:55:59 lr: 1.9107468925493056e-05 loss: 0.0480 (0.0536) loss_seg: 0.0474 (0.0531) loss_lansim: 0.0504 (0.0474) loss_contra: 0.0002 (0.0036) time: 2.7160 data: 0.0053 max mem: 31630 Epoch: [26] [1400/5278] eta: 2:55:32 lr: 1.910509698019087e-05 loss: 0.0472 (0.0536) loss_seg: 0.0467 (0.0531) loss_lansim: 0.0507 (0.0474) loss_contra: 0.0002 (0.0036) time: 2.7169 data: 0.0053 max mem: 31630 Epoch: [26] [1410/5278] eta: 2:55:04 lr: 1.9102725002167907e-05 loss: 0.0459 (0.0536) loss_seg: 0.0454 (0.0531) loss_lansim: 0.0506 (0.0475) loss_contra: 0.0003 (0.0036) time: 2.7129 data: 0.0054 max mem: 31630 Epoch: [26] [1420/5278] eta: 2:54:37 lr: 1.9100352991419203e-05 loss: 0.0459 (0.0535) loss_seg: 0.0454 (0.0530) loss_lansim: 0.0505 (0.0475) loss_contra: 0.0003 (0.0037) time: 2.7142 data: 0.0054 max mem: 31630 Epoch: [26] [1430/5278] eta: 2:54:09 lr: 1.9097980947939794e-05 loss: 0.0473 (0.0536) loss_seg: 0.0468 (0.0531) loss_lansim: 0.0505 (0.0475) loss_contra: 0.0003 (0.0036) time: 2.7068 data: 0.0054 max mem: 31630 Epoch: [26] [1440/5278] eta: 2:53:43 lr: 1.9095608871724706e-05 loss: 0.0486 (0.0536) loss_seg: 0.0481 (0.0530) loss_lansim: 0.0506 (0.0475) loss_contra: 0.0003 (0.0036) time: 2.7138 data: 0.0054 max mem: 31630 Epoch: [26] [1450/5278] eta: 2:53:16 lr: 1.9093236762768972e-05 loss: 0.0489 (0.0536) loss_seg: 0.0483 (0.0530) loss_lansim: 0.0514 (0.0476) loss_contra: 0.0003 (0.0036) time: 2.7124 data: 0.0055 max mem: 31630 Epoch: [26] [1460/5278] eta: 2:52:49 lr: 1.9090864621067622e-05 loss: 0.0469 (0.0535) loss_seg: 0.0464 (0.0530) loss_lansim: 0.0507 (0.0476) loss_contra: 0.0003 (0.0036) time: 2.7149 data: 0.0055 max mem: 31630 Epoch: [26] [1470/5278] eta: 2:52:22 lr: 1.908849244661568e-05 loss: 0.0485 (0.0535) loss_seg: 0.0480 (0.0530) loss_lansim: 0.0507 (0.0476) loss_contra: 0.0004 (0.0036) time: 2.7157 data: 0.0055 max mem: 31630 Epoch: [26] [1480/5278] eta: 2:51:55 lr: 1.908612023940817e-05 loss: 0.0492 (0.0535) loss_seg: 0.0483 (0.0530) loss_lansim: 0.0505 (0.0476) loss_contra: 0.0005 (0.0036) time: 2.7150 data: 0.0056 max mem: 31630 Epoch: [26] [1490/5278] eta: 2:51:28 lr: 1.908374799944012e-05 loss: 0.0469 (0.0534) loss_seg: 0.0464 (0.0529) loss_lansim: 0.0505 (0.0477) loss_contra: 0.0004 (0.0035) time: 2.7210 data: 0.0056 max mem: 31630 Epoch: [26] [1500/5278] eta: 2:51:00 lr: 1.908137572670655e-05 loss: 0.0485 (0.0534) loss_seg: 0.0480 (0.0529) loss_lansim: 0.0501 (0.0477) loss_contra: 0.0003 (0.0035) time: 2.7145 data: 0.0056 max mem: 31630 Epoch: [26] [1510/5278] eta: 2:50:33 lr: 1.907900342120248e-05 loss: 0.0486 (0.0534) loss_seg: 0.0481 (0.0529) loss_lansim: 0.0503 (0.0477) loss_contra: 0.0002 (0.0035) time: 2.7178 data: 0.0055 max mem: 31630 Epoch: [26] [1520/5278] eta: 2:50:06 lr: 1.907663108292293e-05 loss: 0.0485 (0.0534) loss_seg: 0.0480 (0.0529) loss_lansim: 0.0504 (0.0477) loss_contra: 0.0003 (0.0035) time: 2.7163 data: 0.0055 max mem: 31630 Epoch: [26] [1530/5278] eta: 2:49:39 lr: 1.9074258711862928e-05 loss: 0.0469 (0.0534) loss_seg: 0.0464 (0.0529) loss_lansim: 0.0504 (0.0477) loss_contra: 0.0002 (0.0035) time: 2.7222 data: 0.0054 max mem: 31630 Epoch: [26] [1540/5278] eta: 2:49:12 lr: 1.9071886308017478e-05 loss: 0.0460 (0.0533) loss_seg: 0.0455 (0.0528) loss_lansim: 0.0504 (0.0477) loss_contra: 0.0002 (0.0035) time: 2.7177 data: 0.0054 max mem: 31630 Epoch: [26] [1550/5278] eta: 2:48:45 lr: 1.9069513871381597e-05 loss: 0.0460 (0.0533) loss_seg: 0.0455 (0.0528) loss_lansim: 0.0494 (0.0477) loss_contra: 0.0002 (0.0034) time: 2.7185 data: 0.0054 max mem: 31630 Epoch: [26] [1560/5278] eta: 2:48:18 lr: 1.9067141401950305e-05 loss: 0.0470 (0.0533) loss_seg: 0.0466 (0.0528) loss_lansim: 0.0494 (0.0478) loss_contra: 0.0003 (0.0034) time: 2.7175 data: 0.0054 max mem: 31630 Epoch: [26] [1570/5278] eta: 2:47:51 lr: 1.9064768899718617e-05 loss: 0.0470 (0.0534) loss_seg: 0.0466 (0.0529) loss_lansim: 0.0493 (0.0478) loss_contra: 0.0002 (0.0034) time: 2.7172 data: 0.0053 max mem: 31630 Epoch: [26] [1580/5278] eta: 2:47:24 lr: 1.9062396364681533e-05 loss: 0.0463 (0.0534) loss_seg: 0.0458 (0.0528) loss_lansim: 0.0499 (0.0478) loss_contra: 0.0002 (0.0034) time: 2.7223 data: 0.0053 max mem: 31630 Epoch: [26] [1590/5278] eta: 2:46:57 lr: 1.9060023796834065e-05 loss: 0.0474 (0.0534) loss_seg: 0.0469 (0.0529) loss_lansim: 0.0500 (0.0478) loss_contra: 0.0002 (0.0034) time: 2.7159 data: 0.0053 max mem: 31630 Epoch: [26] [1600/5278] eta: 2:46:30 lr: 1.9057651196171226e-05 loss: 0.0475 (0.0535) loss_seg: 0.0469 (0.0529) loss_lansim: 0.0507 (0.0479) loss_contra: 0.0003 (0.0034) time: 2.7222 data: 0.0053 max mem: 31630 Epoch: [26] [1610/5278] eta: 2:46:03 lr: 1.905527856268803e-05 loss: 0.0469 (0.0535) loss_seg: 0.0464 (0.0530) loss_lansim: 0.0505 (0.0479) loss_contra: 0.0003 (0.0034) time: 2.7217 data: 0.0053 max mem: 31630 Epoch: [26] [1620/5278] eta: 2:45:36 lr: 1.9052905896379463e-05 loss: 0.0470 (0.0535) loss_seg: 0.0466 (0.0530) loss_lansim: 0.0505 (0.0479) loss_contra: 0.0004 (0.0035) time: 2.7244 data: 0.0053 max mem: 31630 Epoch: [26] [1630/5278] eta: 2:45:09 lr: 1.905053319724054e-05 loss: 0.0477 (0.0535) loss_seg: 0.0472 (0.0530) loss_lansim: 0.0507 (0.0479) loss_contra: 0.0004 (0.0035) time: 2.7231 data: 0.0053 max mem: 31630 Epoch: [26] [1640/5278] eta: 2:44:42 lr: 1.9048160465266262e-05 loss: 0.0477 (0.0534) loss_seg: 0.0472 (0.0529) loss_lansim: 0.0507 (0.0479) loss_contra: 0.0004 (0.0034) time: 2.7224 data: 0.0053 max mem: 31630 Epoch: [26] [1650/5278] eta: 2:44:15 lr: 1.9045787700451637e-05 loss: 0.0492 (0.0534) loss_seg: 0.0487 (0.0529) loss_lansim: 0.0510 (0.0480) loss_contra: 0.0004 (0.0035) time: 2.7238 data: 0.0054 max mem: 31630 Epoch: [26] [1660/5278] eta: 2:43:47 lr: 1.9043414902791652e-05 loss: 0.0476 (0.0534) loss_seg: 0.0470 (0.0529) loss_lansim: 0.0510 (0.0480) loss_contra: 0.0003 (0.0035) time: 2.7205 data: 0.0054 max mem: 31630 Epoch: [26] [1670/5278] eta: 2:43:20 lr: 1.904104207228131e-05 loss: 0.0478 (0.0534) loss_seg: 0.0473 (0.0529) loss_lansim: 0.0510 (0.0480) loss_contra: 0.0004 (0.0034) time: 2.7206 data: 0.0054 max mem: 31630 Epoch: [26] [1680/5278] eta: 2:42:52 lr: 1.9038669208915608e-05 loss: 0.0489 (0.0534) loss_seg: 0.0484 (0.0529) loss_lansim: 0.0500 (0.0480) loss_contra: 0.0004 (0.0034) time: 2.7145 data: 0.0054 max mem: 31630 Epoch: [26] [1690/5278] eta: 2:42:26 lr: 1.9036296312689543e-05 loss: 0.0492 (0.0534) loss_seg: 0.0487 (0.0529) loss_lansim: 0.0496 (0.0480) loss_contra: 0.0003 (0.0034) time: 2.7213 data: 0.0053 max mem: 31630 Epoch: [26] [1700/5278] eta: 2:41:58 lr: 1.903392338359811e-05 loss: 0.0488 (0.0534) loss_seg: 0.0481 (0.0529) loss_lansim: 0.0490 (0.0480) loss_contra: 0.0003 (0.0034) time: 2.7160 data: 0.0053 max mem: 31630 Epoch: [26] [1710/5278] eta: 2:41:31 lr: 1.9031550421636293e-05 loss: 0.0489 (0.0534) loss_seg: 0.0484 (0.0528) loss_lansim: 0.0490 (0.0480) loss_contra: 0.0003 (0.0034) time: 2.7146 data: 0.0053 max mem: 31630 Epoch: [26] [1720/5278] eta: 2:41:03 lr: 1.902917742679909e-05 loss: 0.0489 (0.0534) loss_seg: 0.0484 (0.0529) loss_lansim: 0.0490 (0.0480) loss_contra: 0.0002 (0.0034) time: 2.7108 data: 0.0053 max mem: 31630 Epoch: [26] [1730/5278] eta: 2:40:36 lr: 1.9026804399081484e-05 loss: 0.0473 (0.0533) loss_seg: 0.0466 (0.0528) loss_lansim: 0.0489 (0.0481) loss_contra: 0.0002 (0.0034) time: 2.7074 data: 0.0053 max mem: 31630 Epoch: [26] [1740/5278] eta: 2:40:08 lr: 1.9024431338478474e-05 loss: 0.0480 (0.0533) loss_seg: 0.0475 (0.0528) loss_lansim: 0.0489 (0.0481) loss_contra: 0.0002 (0.0034) time: 2.7056 data: 0.0054 max mem: 31630 Epoch: [26] [1750/5278] eta: 2:39:41 lr: 1.9022058244985033e-05 loss: 0.0473 (0.0533) loss_seg: 0.0466 (0.0528) loss_lansim: 0.0489 (0.0481) loss_contra: 0.0003 (0.0033) time: 2.7039 data: 0.0054 max mem: 31630 Epoch: [26] [1760/5278] eta: 2:39:13 lr: 1.9019685118596152e-05 loss: 0.0480 (0.0533) loss_seg: 0.0475 (0.0528) loss_lansim: 0.0491 (0.0481) loss_contra: 0.0002 (0.0033) time: 2.7007 data: 0.0054 max mem: 31630 Epoch: [26] [1770/5278] eta: 2:38:46 lr: 1.9017311959306817e-05 loss: 0.0473 (0.0533) loss_seg: 0.0466 (0.0528) loss_lansim: 0.0490 (0.0481) loss_contra: 0.0002 (0.0033) time: 2.7019 data: 0.0054 max mem: 31630 Epoch: [26] [1780/5278] eta: 2:38:18 lr: 1.9014938767112008e-05 loss: 0.0466 (0.0533) loss_seg: 0.0460 (0.0528) loss_lansim: 0.0493 (0.0481) loss_contra: 0.0002 (0.0033) time: 2.7032 data: 0.0055 max mem: 31630 Epoch: [26] [1790/5278] eta: 2:37:51 lr: 1.9012565542006702e-05 loss: 0.0450 (0.0533) loss_seg: 0.0445 (0.0527) loss_lansim: 0.0500 (0.0482) loss_contra: 0.0003 (0.0033) time: 2.6991 data: 0.0056 max mem: 31630 Epoch: [26] [1800/5278] eta: 2:37:24 lr: 1.9010192283985883e-05 loss: 0.0473 (0.0533) loss_seg: 0.0466 (0.0528) loss_lansim: 0.0508 (0.0482) loss_contra: 0.0002 (0.0033) time: 2.7010 data: 0.0056 max mem: 31630 Epoch: [26] [1810/5278] eta: 2:36:57 lr: 1.900781899304452e-05 loss: 0.0480 (0.0533) loss_seg: 0.0475 (0.0528) loss_lansim: 0.0508 (0.0482) loss_contra: 0.0002 (0.0033) time: 2.7044 data: 0.0056 max mem: 31630 Epoch: [26] [1820/5278] eta: 2:36:30 lr: 1.9005445669177603e-05 loss: 0.0480 (0.0533) loss_seg: 0.0475 (0.0528) loss_lansim: 0.0502 (0.0482) loss_contra: 0.0002 (0.0032) time: 2.7085 data: 0.0056 max mem: 31630 Epoch: [26] [1830/5278] eta: 2:36:03 lr: 1.9003072312380097e-05 loss: 0.0480 (0.0533) loss_seg: 0.0475 (0.0528) loss_lansim: 0.0502 (0.0482) loss_contra: 0.0002 (0.0032) time: 2.7087 data: 0.0057 max mem: 31630 Epoch: [26] [1840/5278] eta: 2:35:36 lr: 1.9000698922646972e-05 loss: 0.0480 (0.0533) loss_seg: 0.0475 (0.0528) loss_lansim: 0.0502 (0.0482) loss_contra: 0.0002 (0.0032) time: 2.7117 data: 0.0056 max mem: 31630 Epoch: [26] [1850/5278] eta: 2:35:09 lr: 1.8998325499973207e-05 loss: 0.0479 (0.0532) loss_seg: 0.0474 (0.0527) loss_lansim: 0.0508 (0.0483) loss_contra: 0.0002 (0.0032) time: 2.7115 data: 0.0056 max mem: 31630 Epoch: [26] [1860/5278] eta: 2:34:42 lr: 1.8995952044353777e-05 loss: 0.0481 (0.0532) loss_seg: 0.0476 (0.0527) loss_lansim: 0.0508 (0.0483) loss_contra: 0.0002 (0.0032) time: 2.7214 data: 0.0055 max mem: 31630 Epoch: [26] [1870/5278] eta: 2:34:15 lr: 1.8993578555783637e-05 loss: 0.0477 (0.0532) loss_seg: 0.0471 (0.0527) loss_lansim: 0.0508 (0.0483) loss_contra: 0.0002 (0.0032) time: 2.7185 data: 0.0056 max mem: 31630 Epoch: [26] [1880/5278] eta: 2:33:48 lr: 1.8991205034257762e-05 loss: 0.0479 (0.0532) loss_seg: 0.0473 (0.0527) loss_lansim: 0.0505 (0.0483) loss_contra: 0.0001 (0.0032) time: 2.7219 data: 0.0055 max mem: 31630 Epoch: [26] [1890/5278] eta: 2:33:20 lr: 1.8988831479771115e-05 loss: 0.0485 (0.0534) loss_seg: 0.0478 (0.0529) loss_lansim: 0.0505 (0.0483) loss_contra: 0.0001 (0.0032) time: 2.7196 data: 0.0054 max mem: 31630 Epoch: [26] [1900/5278] eta: 2:32:53 lr: 1.8986457892318667e-05 loss: 0.0481 (0.0534) loss_seg: 0.0475 (0.0529) loss_lansim: 0.0509 (0.0484) loss_contra: 0.0002 (0.0032) time: 2.7201 data: 0.0054 max mem: 31630 Epoch: [26] [1910/5278] eta: 2:32:26 lr: 1.8984084271895373e-05 loss: 0.0464 (0.0534) loss_seg: 0.0458 (0.0528) loss_lansim: 0.0516 (0.0484) loss_contra: 0.0002 (0.0032) time: 2.7164 data: 0.0055 max mem: 31630 Epoch: [26] [1920/5278] eta: 2:31:59 lr: 1.89817106184962e-05 loss: 0.0464 (0.0533) loss_seg: 0.0458 (0.0528) loss_lansim: 0.0519 (0.0484) loss_contra: 0.0003 (0.0032) time: 2.7169 data: 0.0055 max mem: 31630 Epoch: [26] [1930/5278] eta: 2:31:32 lr: 1.89793369321161e-05 loss: 0.0473 (0.0534) loss_seg: 0.0468 (0.0528) loss_lansim: 0.0523 (0.0485) loss_contra: 0.0004 (0.0032) time: 2.7197 data: 0.0056 max mem: 31630 Epoch: [26] [1940/5278] eta: 2:31:04 lr: 1.897696321275004e-05 loss: 0.0456 (0.0533) loss_seg: 0.0450 (0.0528) loss_lansim: 0.0523 (0.0485) loss_contra: 0.0005 (0.0032) time: 2.7185 data: 0.0056 max mem: 31630 Epoch: [26] [1950/5278] eta: 2:30:38 lr: 1.8974589460392984e-05 loss: 0.0450 (0.0533) loss_seg: 0.0445 (0.0527) loss_lansim: 0.0535 (0.0485) loss_contra: 0.0007 (0.0032) time: 2.7202 data: 0.0057 max mem: 31630 Epoch: [26] [1960/5278] eta: 2:30:10 lr: 1.8972215675039864e-05 loss: 0.0450 (0.0532) loss_seg: 0.0445 (0.0527) loss_lansim: 0.0537 (0.0486) loss_contra: 0.0007 (0.0032) time: 2.7144 data: 0.0057 max mem: 31630 Epoch: [26] [1970/5278] eta: 2:29:44 lr: 1.896984185668565e-05 loss: 0.0455 (0.0532) loss_seg: 0.0450 (0.0527) loss_lansim: 0.0537 (0.0486) loss_contra: 0.0008 (0.0033) time: 2.7188 data: 0.0057 max mem: 31630 Epoch: [26] [1980/5278] eta: 2:29:16 lr: 1.8967468005325296e-05 loss: 0.0451 (0.0532) loss_seg: 0.0445 (0.0527) loss_lansim: 0.0537 (0.0486) loss_contra: 0.0010 (0.0033) time: 2.7147 data: 0.0057 max mem: 31630 Epoch: [26] [1990/5278] eta: 2:28:49 lr: 1.8965094120953753e-05 loss: 0.0447 (0.0532) loss_seg: 0.0441 (0.0527) loss_lansim: 0.0533 (0.0486) loss_contra: 0.0010 (0.0033) time: 2.7195 data: 0.0057 max mem: 31630 Epoch: [26] [2000/5278] eta: 2:28:22 lr: 1.896272020356596e-05 loss: 0.0439 (0.0532) loss_seg: 0.0434 (0.0527) loss_lansim: 0.0528 (0.0486) loss_contra: 0.0006 (0.0033) time: 2.7167 data: 0.0057 max mem: 31630 Epoch: [26] [2010/5278] eta: 2:27:55 lr: 1.8960346253156872e-05 loss: 0.0439 (0.0531) loss_seg: 0.0434 (0.0526) loss_lansim: 0.0523 (0.0486) loss_contra: 0.0006 (0.0033) time: 2.7217 data: 0.0056 max mem: 31630 Epoch: [26] [2020/5278] eta: 2:27:28 lr: 1.8957972269721437e-05 loss: 0.0447 (0.0532) loss_seg: 0.0441 (0.0526) loss_lansim: 0.0524 (0.0487) loss_contra: 0.0006 (0.0033) time: 2.7200 data: 0.0056 max mem: 31630 Epoch: [26] [2030/5278] eta: 2:27:01 lr: 1.8955598253254604e-05 loss: 0.0447 (0.0532) loss_seg: 0.0441 (0.0526) loss_lansim: 0.0523 (0.0487) loss_contra: 0.0006 (0.0033) time: 2.7206 data: 0.0056 max mem: 31630 Epoch: [26] [2040/5278] eta: 2:26:33 lr: 1.8953224203751308e-05 loss: 0.0451 (0.0533) loss_seg: 0.0446 (0.0528) loss_lansim: 0.0524 (0.0487) loss_contra: 0.0006 (0.0033) time: 2.7194 data: 0.0055 max mem: 31630 Epoch: [26] [2050/5278] eta: 2:26:06 lr: 1.8950850121206493e-05 loss: 0.0455 (0.0533) loss_seg: 0.0451 (0.0528) loss_lansim: 0.0524 (0.0488) loss_contra: 0.0006 (0.0033) time: 2.7170 data: 0.0054 max mem: 31630 Epoch: [26] [2060/5278] eta: 2:25:40 lr: 1.8948476005615104e-05 loss: 0.0461 (0.0535) loss_seg: 0.0456 (0.0530) loss_lansim: 0.0523 (0.0488) loss_contra: 0.0006 (0.0033) time: 2.7207 data: 0.0054 max mem: 31630 Epoch: [26] [2070/5278] eta: 2:25:12 lr: 1.894610185697208e-05 loss: 0.0458 (0.0535) loss_seg: 0.0451 (0.0530) loss_lansim: 0.0523 (0.0488) loss_contra: 0.0005 (0.0033) time: 2.7158 data: 0.0053 max mem: 31630 Epoch: [26] [2080/5278] eta: 2:24:45 lr: 1.8943727675272355e-05 loss: 0.0468 (0.0537) loss_seg: 0.0461 (0.0532) loss_lansim: 0.0530 (0.0489) loss_contra: 0.0005 (0.0033) time: 2.7192 data: 0.0053 max mem: 31630 Epoch: [26] [2090/5278] eta: 2:24:18 lr: 1.8941353460510867e-05 loss: 0.0468 (0.0537) loss_seg: 0.0461 (0.0532) loss_lansim: 0.0532 (0.0489) loss_contra: 0.0004 (0.0033) time: 2.7164 data: 0.0053 max mem: 31630 Epoch: [26] [2100/5278] eta: 2:23:51 lr: 1.893897921268255e-05 loss: 0.0490 (0.0537) loss_seg: 0.0484 (0.0532) loss_lansim: 0.0535 (0.0489) loss_contra: 0.0004 (0.0033) time: 2.7222 data: 0.0053 max mem: 31630 Epoch: [26] [2110/5278] eta: 2:23:24 lr: 1.8936604931782343e-05 loss: 0.0502 (0.0537) loss_seg: 0.0497 (0.0532) loss_lansim: 0.0539 (0.0489) loss_contra: 0.0004 (0.0033) time: 2.7180 data: 0.0053 max mem: 31630 Epoch: [26] [2120/5278] eta: 2:22:57 lr: 1.8934230617805172e-05 loss: 0.0502 (0.0538) loss_seg: 0.0497 (0.0533) loss_lansim: 0.0532 (0.0490) loss_contra: 0.0004 (0.0032) time: 2.7201 data: 0.0053 max mem: 31630 Epoch: [26] [2130/5278] eta: 2:22:29 lr: 1.8931856270745964e-05 loss: 0.0509 (0.0538) loss_seg: 0.0503 (0.0533) loss_lansim: 0.0532 (0.0490) loss_contra: 0.0004 (0.0032) time: 2.7162 data: 0.0053 max mem: 31630 Epoch: [26] [2140/5278] eta: 2:22:02 lr: 1.8929481890599657e-05 loss: 0.0505 (0.0537) loss_seg: 0.0500 (0.0532) loss_lansim: 0.0530 (0.0490) loss_contra: 0.0003 (0.0032) time: 2.7191 data: 0.0053 max mem: 31630 Epoch: [26] [2150/5278] eta: 2:21:35 lr: 1.892710747736117e-05 loss: 0.0494 (0.0537) loss_seg: 0.0489 (0.0531) loss_lansim: 0.0529 (0.0490) loss_contra: 0.0003 (0.0032) time: 2.7186 data: 0.0053 max mem: 31630 Epoch: [26] [2160/5278] eta: 2:21:08 lr: 1.892473303102544e-05 loss: 0.0474 (0.0537) loss_seg: 0.0469 (0.0531) loss_lansim: 0.0523 (0.0490) loss_contra: 0.0002 (0.0032) time: 2.7175 data: 0.0053 max mem: 31630 Epoch: [26] [2170/5278] eta: 2:20:41 lr: 1.8922358551587383e-05 loss: 0.0467 (0.0536) loss_seg: 0.0460 (0.0531) loss_lansim: 0.0527 (0.0490) loss_contra: 0.0002 (0.0032) time: 2.7215 data: 0.0053 max mem: 31630 Epoch: [26] [2180/5278] eta: 2:20:14 lr: 1.8919984039041922e-05 loss: 0.0458 (0.0536) loss_seg: 0.0453 (0.0531) loss_lansim: 0.0521 (0.0490) loss_contra: 0.0003 (0.0032) time: 2.7197 data: 0.0053 max mem: 31630 Epoch: [26] [2190/5278] eta: 2:19:47 lr: 1.8917609493383977e-05 loss: 0.0467 (0.0536) loss_seg: 0.0460 (0.0531) loss_lansim: 0.0519 (0.0491) loss_contra: 0.0003 (0.0032) time: 2.7189 data: 0.0053 max mem: 31630 Epoch: [26] [2200/5278] eta: 2:19:19 lr: 1.8915234914608478e-05 loss: 0.0467 (0.0537) loss_seg: 0.0460 (0.0532) loss_lansim: 0.0517 (0.0491) loss_contra: 0.0003 (0.0032) time: 2.7151 data: 0.0053 max mem: 31630 Epoch: [26] [2210/5278] eta: 2:18:52 lr: 1.8912860302710335e-05 loss: 0.0486 (0.0537) loss_seg: 0.0480 (0.0532) loss_lansim: 0.0516 (0.0491) loss_contra: 0.0003 (0.0032) time: 2.7183 data: 0.0054 max mem: 31630 Epoch: [26] [2220/5278] eta: 2:18:25 lr: 1.891048565768446e-05 loss: 0.0493 (0.0538) loss_seg: 0.0487 (0.0533) loss_lansim: 0.0519 (0.0492) loss_contra: 0.0003 (0.0032) time: 2.7107 data: 0.0054 max mem: 31630 Epoch: [26] [2230/5278] eta: 2:17:57 lr: 1.890811097952578e-05 loss: 0.0491 (0.0538) loss_seg: 0.0486 (0.0532) loss_lansim: 0.0523 (0.0492) loss_contra: 0.0003 (0.0032) time: 2.7122 data: 0.0054 max mem: 31630 Epoch: [26] [2240/5278] eta: 2:17:30 lr: 1.890573626822921e-05 loss: 0.0497 (0.0538) loss_seg: 0.0491 (0.0532) loss_lansim: 0.0529 (0.0493) loss_contra: 0.0003 (0.0031) time: 2.7095 data: 0.0054 max mem: 31630 Epoch: [26] [2250/5278] eta: 2:17:03 lr: 1.8903361523789653e-05 loss: 0.0512 (0.0538) loss_seg: 0.0507 (0.0532) loss_lansim: 0.0551 (0.0493) loss_contra: 0.0003 (0.0031) time: 2.7094 data: 0.0055 max mem: 31630 Epoch: [26] [2260/5278] eta: 2:16:35 lr: 1.8900986746202022e-05 loss: 0.0512 (0.0538) loss_seg: 0.0507 (0.0532) loss_lansim: 0.0562 (0.0494) loss_contra: 0.0003 (0.0031) time: 2.7062 data: 0.0055 max mem: 31630 Epoch: [26] [2270/5278] eta: 2:16:09 lr: 1.8898611935461228e-05 loss: 0.0527 (0.0538) loss_seg: 0.0520 (0.0533) loss_lansim: 0.0565 (0.0494) loss_contra: 0.0004 (0.0031) time: 2.7088 data: 0.0055 max mem: 31630 Epoch: [26] [2280/5278] eta: 2:15:41 lr: 1.8896237091562186e-05 loss: 0.0517 (0.0538) loss_seg: 0.0511 (0.0532) loss_lansim: 0.0574 (0.0495) loss_contra: 0.0005 (0.0031) time: 2.7076 data: 0.0055 max mem: 31630 Epoch: [26] [2290/5278] eta: 2:15:14 lr: 1.8893862214499793e-05 loss: 0.0517 (0.0538) loss_seg: 0.0511 (0.0533) loss_lansim: 0.0585 (0.0495) loss_contra: 0.0004 (0.0031) time: 2.7105 data: 0.0055 max mem: 31630 Epoch: [26] [2300/5278] eta: 2:14:47 lr: 1.889148730426895e-05 loss: 0.0517 (0.0538) loss_seg: 0.0511 (0.0533) loss_lansim: 0.0591 (0.0496) loss_contra: 0.0004 (0.0031) time: 2.7126 data: 0.0055 max mem: 31630 Epoch: [26] [2310/5278] eta: 2:14:20 lr: 1.8889112360864575e-05 loss: 0.0521 (0.0538) loss_seg: 0.0515 (0.0533) loss_lansim: 0.0591 (0.0496) loss_contra: 0.0003 (0.0031) time: 2.7132 data: 0.0055 max mem: 31630 Epoch: [26] [2320/5278] eta: 2:13:53 lr: 1.8886737384281566e-05 loss: 0.0517 (0.0538) loss_seg: 0.0511 (0.0533) loss_lansim: 0.0583 (0.0496) loss_contra: 0.0004 (0.0031) time: 2.7159 data: 0.0055 max mem: 31630 Epoch: [26] [2330/5278] eta: 2:13:26 lr: 1.8884362374514816e-05 loss: 0.0517 (0.0539) loss_seg: 0.0511 (0.0533) loss_lansim: 0.0586 (0.0497) loss_contra: 0.0004 (0.0031) time: 2.7178 data: 0.0055 max mem: 31630 Epoch: [26] [2340/5278] eta: 2:12:59 lr: 1.888198733155923e-05 loss: 0.0517 (0.0538) loss_seg: 0.0511 (0.0533) loss_lansim: 0.0580 (0.0497) loss_contra: 0.0005 (0.0032) time: 2.7178 data: 0.0054 max mem: 31630 Epoch: [26] [2350/5278] eta: 2:12:31 lr: 1.8879612255409704e-05 loss: 0.0517 (0.0538) loss_seg: 0.0511 (0.0533) loss_lansim: 0.0579 (0.0497) loss_contra: 0.0005 (0.0032) time: 2.7177 data: 0.0054 max mem: 31630 Epoch: [26] [2360/5278] eta: 2:12:04 lr: 1.887723714606114e-05 loss: 0.0505 (0.0538) loss_seg: 0.0497 (0.0533) loss_lansim: 0.0571 (0.0497) loss_contra: 0.0005 (0.0032) time: 2.7182 data: 0.0054 max mem: 31630 Epoch: [26] [2370/5278] eta: 2:11:37 lr: 1.887486200350842e-05 loss: 0.0505 (0.0538) loss_seg: 0.0497 (0.0533) loss_lansim: 0.0570 (0.0498) loss_contra: 0.0005 (0.0032) time: 2.7150 data: 0.0054 max mem: 31630 Epoch: [26] [2380/5278] eta: 2:11:10 lr: 1.8872486827746445e-05 loss: 0.0505 (0.0539) loss_seg: 0.0497 (0.0533) loss_lansim: 0.0570 (0.0498) loss_contra: 0.0005 (0.0032) time: 2.7147 data: 0.0053 max mem: 31630 Epoch: [26] [2390/5278] eta: 2:10:43 lr: 1.887011161877011e-05 loss: 0.0503 (0.0539) loss_seg: 0.0496 (0.0533) loss_lansim: 0.0564 (0.0498) loss_contra: 0.0006 (0.0032) time: 2.7141 data: 0.0053 max mem: 31630 Epoch: [26] [2400/5278] eta: 2:10:15 lr: 1.8867736376574298e-05 loss: 0.0487 (0.0538) loss_seg: 0.0482 (0.0533) loss_lansim: 0.0561 (0.0499) loss_contra: 0.0006 (0.0032) time: 2.7110 data: 0.0053 max mem: 31630 Epoch: [26] [2410/5278] eta: 2:09:48 lr: 1.8865361101153905e-05 loss: 0.0487 (0.0539) loss_seg: 0.0482 (0.0534) loss_lansim: 0.0563 (0.0499) loss_contra: 0.0006 (0.0032) time: 2.7090 data: 0.0053 max mem: 31630 Epoch: [26] [2420/5278] eta: 2:09:21 lr: 1.8862985792503813e-05 loss: 0.0488 (0.0539) loss_seg: 0.0482 (0.0534) loss_lansim: 0.0563 (0.0499) loss_contra: 0.0006 (0.0032) time: 2.7114 data: 0.0053 max mem: 31630 Epoch: [26] [2430/5278] eta: 2:08:54 lr: 1.8860610450618903e-05 loss: 0.0487 (0.0539) loss_seg: 0.0482 (0.0534) loss_lansim: 0.0564 (0.0499) loss_contra: 0.0007 (0.0032) time: 2.7135 data: 0.0053 max mem: 31630 Epoch: [26] [2440/5278] eta: 2:08:27 lr: 1.885823507549407e-05 loss: 0.0482 (0.0539) loss_seg: 0.0472 (0.0534) loss_lansim: 0.0564 (0.0500) loss_contra: 0.0008 (0.0032) time: 2.7164 data: 0.0053 max mem: 31630 Epoch: [26] [2450/5278] eta: 2:08:00 lr: 1.8855859667124194e-05 loss: 0.0482 (0.0539) loss_seg: 0.0472 (0.0534) loss_lansim: 0.0564 (0.0500) loss_contra: 0.0009 (0.0033) time: 2.7166 data: 0.0053 max mem: 31630 Epoch: [26] [2460/5278] eta: 2:07:33 lr: 1.8853484225504146e-05 loss: 0.0505 (0.0539) loss_seg: 0.0498 (0.0534) loss_lansim: 0.0565 (0.0500) loss_contra: 0.0010 (0.0033) time: 2.7178 data: 0.0053 max mem: 31630 Epoch: [26] [2470/5278] eta: 2:07:06 lr: 1.885110875062882e-05 loss: 0.0505 (0.0539) loss_seg: 0.0499 (0.0534) loss_lansim: 0.0566 (0.0501) loss_contra: 0.0010 (0.0033) time: 2.7185 data: 0.0053 max mem: 31630 Epoch: [26] [2480/5278] eta: 2:06:39 lr: 1.884873324249308e-05 loss: 0.0505 (0.0540) loss_seg: 0.0498 (0.0535) loss_lansim: 0.0564 (0.0501) loss_contra: 0.0009 (0.0033) time: 2.7227 data: 0.0053 max mem: 31630 Epoch: [26] [2490/5278] eta: 2:06:11 lr: 1.884635770109182e-05 loss: 0.0514 (0.0540) loss_seg: 0.0507 (0.0535) loss_lansim: 0.0566 (0.0501) loss_contra: 0.0009 (0.0033) time: 2.7193 data: 0.0054 max mem: 31630 Epoch: [26] [2500/5278] eta: 2:05:44 lr: 1.8843982126419896e-05 loss: 0.0524 (0.0540) loss_seg: 0.0518 (0.0535) loss_lansim: 0.0572 (0.0502) loss_contra: 0.0010 (0.0033) time: 2.7215 data: 0.0054 max mem: 31630 Epoch: [26] [2510/5278] eta: 2:05:17 lr: 1.884160651847219e-05 loss: 0.0524 (0.0540) loss_seg: 0.0518 (0.0535) loss_lansim: 0.0572 (0.0502) loss_contra: 0.0010 (0.0033) time: 2.7208 data: 0.0054 max mem: 31630 Epoch: [26] [2520/5278] eta: 2:04:50 lr: 1.883923087724358e-05 loss: 0.0524 (0.0541) loss_seg: 0.0518 (0.0535) loss_lansim: 0.0569 (0.0502) loss_contra: 0.0010 (0.0033) time: 2.7192 data: 0.0054 max mem: 31630 Epoch: [26] [2530/5278] eta: 2:04:23 lr: 1.8836855202728933e-05 loss: 0.0526 (0.0541) loss_seg: 0.0519 (0.0535) loss_lansim: 0.0572 (0.0502) loss_contra: 0.0010 (0.0033) time: 2.7176 data: 0.0054 max mem: 31630 Epoch: [26] [2540/5278] eta: 2:03:55 lr: 1.883447949492311e-05 loss: 0.0519 (0.0540) loss_seg: 0.0512 (0.0535) loss_lansim: 0.0575 (0.0503) loss_contra: 0.0010 (0.0033) time: 2.7139 data: 0.0054 max mem: 31630 Epoch: [26] [2550/5278] eta: 2:03:28 lr: 1.8832103753820983e-05 loss: 0.0519 (0.0540) loss_seg: 0.0512 (0.0535) loss_lansim: 0.0571 (0.0503) loss_contra: 0.0009 (0.0033) time: 2.7164 data: 0.0054 max mem: 31630 Epoch: [26] [2560/5278] eta: 2:03:01 lr: 1.8829727979417425e-05 loss: 0.0500 (0.0540) loss_seg: 0.0491 (0.0535) loss_lansim: 0.0575 (0.0503) loss_contra: 0.0009 (0.0033) time: 2.7176 data: 0.0054 max mem: 31630 Epoch: [26] [2570/5278] eta: 2:02:34 lr: 1.8827352171707298e-05 loss: 0.0489 (0.0540) loss_seg: 0.0482 (0.0535) loss_lansim: 0.0566 (0.0503) loss_contra: 0.0007 (0.0033) time: 2.7152 data: 0.0054 max mem: 31630 Epoch: [26] [2580/5278] eta: 2:02:07 lr: 1.8824976330685455e-05 loss: 0.0485 (0.0540) loss_seg: 0.0480 (0.0534) loss_lansim: 0.0570 (0.0504) loss_contra: 0.0009 (0.0033) time: 2.7132 data: 0.0054 max mem: 31630 Epoch: [26] [2590/5278] eta: 2:01:40 lr: 1.882260045634677e-05 loss: 0.0463 (0.0540) loss_seg: 0.0457 (0.0535) loss_lansim: 0.0562 (0.0504) loss_contra: 0.0010 (0.0033) time: 2.7142 data: 0.0054 max mem: 31630 Epoch: [26] [2600/5278] eta: 2:01:12 lr: 1.8820224548686095e-05 loss: 0.0482 (0.0540) loss_seg: 0.0477 (0.0535) loss_lansim: 0.0555 (0.0504) loss_contra: 0.0009 (0.0033) time: 2.7135 data: 0.0054 max mem: 31630 Epoch: [26] [2610/5278] eta: 2:00:45 lr: 1.8817848607698295e-05 loss: 0.0486 (0.0541) loss_seg: 0.0480 (0.0535) loss_lansim: 0.0555 (0.0504) loss_contra: 0.0009 (0.0033) time: 2.7126 data: 0.0054 max mem: 31630 Epoch: [26] [2620/5278] eta: 2:00:18 lr: 1.881547263337822e-05 loss: 0.0491 (0.0541) loss_seg: 0.0483 (0.0535) loss_lansim: 0.0555 (0.0504) loss_contra: 0.0007 (0.0033) time: 2.7111 data: 0.0054 max mem: 31630 Epoch: [26] [2630/5278] eta: 1:59:50 lr: 1.8813096625720728e-05 loss: 0.0491 (0.0541) loss_seg: 0.0481 (0.0536) loss_lansim: 0.0555 (0.0505) loss_contra: 0.0007 (0.0034) time: 2.7084 data: 0.0054 max mem: 31630 Epoch: [26] [2640/5278] eta: 1:59:23 lr: 1.8810720584720675e-05 loss: 0.0511 (0.0541) loss_seg: 0.0504 (0.0536) loss_lansim: 0.0551 (0.0505) loss_contra: 0.0006 (0.0034) time: 2.7106 data: 0.0055 max mem: 31630 Epoch: [26] [2650/5278] eta: 1:58:56 lr: 1.8808344510372907e-05 loss: 0.0511 (0.0541) loss_seg: 0.0504 (0.0536) loss_lansim: 0.0551 (0.0505) loss_contra: 0.0006 (0.0034) time: 2.7067 data: 0.0055 max mem: 31630 Epoch: [26] [2660/5278] eta: 1:58:28 lr: 1.8805968402672292e-05 loss: 0.0510 (0.0541) loss_seg: 0.0501 (0.0536) loss_lansim: 0.0551 (0.0505) loss_contra: 0.0008 (0.0034) time: 2.7038 data: 0.0055 max mem: 31630 Epoch: [26] [2670/5278] eta: 1:58:01 lr: 1.8803592261613656e-05 loss: 0.0510 (0.0541) loss_seg: 0.0501 (0.0535) loss_lansim: 0.0551 (0.0505) loss_contra: 0.0008 (0.0034) time: 2.7055 data: 0.0055 max mem: 31630 Epoch: [26] [2680/5278] eta: 1:57:34 lr: 1.880121608719186e-05 loss: 0.0511 (0.0541) loss_seg: 0.0504 (0.0535) loss_lansim: 0.0550 (0.0505) loss_contra: 0.0007 (0.0034) time: 2.7014 data: 0.0055 max mem: 31630 Epoch: [26] [2690/5278] eta: 1:57:07 lr: 1.8798839879401753e-05 loss: 0.0510 (0.0540) loss_seg: 0.0504 (0.0535) loss_lansim: 0.0557 (0.0506) loss_contra: 0.0007 (0.0034) time: 2.7040 data: 0.0054 max mem: 31630 Epoch: [26] [2700/5278] eta: 1:56:39 lr: 1.8796463638238178e-05 loss: 0.0507 (0.0540) loss_seg: 0.0493 (0.0535) loss_lansim: 0.0563 (0.0506) loss_contra: 0.0008 (0.0034) time: 2.7003 data: 0.0054 max mem: 31630 Epoch: [26] [2710/5278] eta: 1:56:11 lr: 1.8794087363695966e-05 loss: 0.0494 (0.0540) loss_seg: 0.0486 (0.0535) loss_lansim: 0.0561 (0.0506) loss_contra: 0.0008 (0.0034) time: 2.6921 data: 0.0054 max mem: 31630 Epoch: [26] [2720/5278] eta: 1:55:43 lr: 1.8791711055769972e-05 loss: 0.0491 (0.0540) loss_seg: 0.0484 (0.0535) loss_lansim: 0.0564 (0.0507) loss_contra: 0.0008 (0.0034) time: 2.6863 data: 0.0055 max mem: 31630 Epoch: [26] [2730/5278] eta: 1:55:15 lr: 1.8789334714455035e-05 loss: 0.0482 (0.0540) loss_seg: 0.0477 (0.0534) loss_lansim: 0.0561 (0.0507) loss_contra: 0.0007 (0.0034) time: 2.6789 data: 0.0054 max mem: 31630 Epoch: [26] [2740/5278] eta: 1:54:47 lr: 1.8786958339745993e-05 loss: 0.0467 (0.0540) loss_seg: 0.0462 (0.0534) loss_lansim: 0.0564 (0.0507) loss_contra: 0.0007 (0.0034) time: 2.6708 data: 0.0054 max mem: 31630 Epoch: [26] [2750/5278] eta: 1:54:20 lr: 1.878458193163768e-05 loss: 0.0460 (0.0540) loss_seg: 0.0455 (0.0534) loss_lansim: 0.0561 (0.0507) loss_contra: 0.0007 (0.0034) time: 2.6636 data: 0.0054 max mem: 31630 Epoch: [26] [2760/5278] eta: 1:53:52 lr: 1.878220549012493e-05 loss: 0.0460 (0.0539) loss_seg: 0.0455 (0.0534) loss_lansim: 0.0551 (0.0507) loss_contra: 0.0005 (0.0034) time: 2.6578 data: 0.0054 max mem: 31630 Epoch: [26] [2770/5278] eta: 1:53:24 lr: 1.877982901520258e-05 loss: 0.0467 (0.0540) loss_seg: 0.0462 (0.0534) loss_lansim: 0.0551 (0.0507) loss_contra: 0.0005 (0.0035) time: 2.6479 data: 0.0055 max mem: 31630 Epoch: [26] [2780/5278] eta: 1:52:56 lr: 1.877745250686547e-05 loss: 0.0458 (0.0539) loss_seg: 0.0453 (0.0534) loss_lansim: 0.0545 (0.0507) loss_contra: 0.0005 (0.0035) time: 2.6425 data: 0.0055 max mem: 31630 Epoch: [26] [2790/5278] eta: 1:52:28 lr: 1.877507596510842e-05 loss: 0.0450 (0.0539) loss_seg: 0.0445 (0.0534) loss_lansim: 0.0527 (0.0507) loss_contra: 0.0004 (0.0035) time: 2.6324 data: 0.0055 max mem: 31630 Epoch: [26] [2800/5278] eta: 1:52:00 lr: 1.8772699389926262e-05 loss: 0.0458 (0.0539) loss_seg: 0.0453 (0.0534) loss_lansim: 0.0527 (0.0507) loss_contra: 0.0004 (0.0035) time: 2.6286 data: 0.0055 max mem: 31630 Epoch: [26] [2810/5278] eta: 1:51:32 lr: 1.8770322781313825e-05 loss: 0.0450 (0.0539) loss_seg: 0.0445 (0.0533) loss_lansim: 0.0532 (0.0507) loss_contra: 0.0004 (0.0035) time: 2.6283 data: 0.0055 max mem: 31630 Epoch: [26] [2820/5278] eta: 1:51:04 lr: 1.8767946139265945e-05 loss: 0.0470 (0.0539) loss_seg: 0.0464 (0.0534) loss_lansim: 0.0527 (0.0508) loss_contra: 0.0005 (0.0035) time: 2.6283 data: 0.0055 max mem: 31630 Epoch: [26] [2830/5278] eta: 1:50:37 lr: 1.876556946377743e-05 loss: 0.0486 (0.0539) loss_seg: 0.0481 (0.0534) loss_lansim: 0.0527 (0.0508) loss_contra: 0.0005 (0.0035) time: 2.6278 data: 0.0055 max mem: 31630 Epoch: [26] [2840/5278] eta: 1:50:09 lr: 1.8763192754843113e-05 loss: 0.0494 (0.0540) loss_seg: 0.0489 (0.0534) loss_lansim: 0.0527 (0.0508) loss_contra: 0.0005 (0.0035) time: 2.6356 data: 0.0055 max mem: 31630 Epoch: [26] [2850/5278] eta: 1:49:42 lr: 1.8760816012457817e-05 loss: 0.0494 (0.0540) loss_seg: 0.0489 (0.0534) loss_lansim: 0.0528 (0.0508) loss_contra: 0.0005 (0.0035) time: 2.6409 data: 0.0055 max mem: 31630 Epoch: [26] [2860/5278] eta: 1:49:15 lr: 1.875843923661636e-05 loss: 0.0504 (0.0539) loss_seg: 0.0496 (0.0534) loss_lansim: 0.0544 (0.0508) loss_contra: 0.0005 (0.0035) time: 2.6488 data: 0.0055 max mem: 31630 Epoch: [26] [2870/5278] eta: 1:48:48 lr: 1.8756062427313557e-05 loss: 0.0504 (0.0539) loss_seg: 0.0499 (0.0534) loss_lansim: 0.0544 (0.0508) loss_contra: 0.0006 (0.0035) time: 2.6571 data: 0.0055 max mem: 31630 Epoch: [26] [2880/5278] eta: 1:48:20 lr: 1.8753685584544236e-05 loss: 0.0506 (0.0539) loss_seg: 0.0500 (0.0534) loss_lansim: 0.0544 (0.0508) loss_contra: 0.0005 (0.0035) time: 2.6630 data: 0.0054 max mem: 31630 Epoch: [26] [2890/5278] eta: 1:47:53 lr: 1.87513087083032e-05 loss: 0.0506 (0.0539) loss_seg: 0.0500 (0.0533) loss_lansim: 0.0544 (0.0509) loss_contra: 0.0004 (0.0034) time: 2.6708 data: 0.0054 max mem: 31630 Epoch: [26] [2900/5278] eta: 1:47:26 lr: 1.874893179858527e-05 loss: 0.0504 (0.0539) loss_seg: 0.0499 (0.0534) loss_lansim: 0.0544 (0.0509) loss_contra: 0.0004 (0.0034) time: 2.6751 data: 0.0054 max mem: 31630 Epoch: [26] [2910/5278] eta: 1:46:59 lr: 1.8746554855385263e-05 loss: 0.0504 (0.0539) loss_seg: 0.0499 (0.0533) loss_lansim: 0.0544 (0.0509) loss_contra: 0.0003 (0.0034) time: 2.6825 data: 0.0055 max mem: 31630 Epoch: [26] [2920/5278] eta: 1:46:31 lr: 1.8744177878697983e-05 loss: 0.0504 (0.0539) loss_seg: 0.0497 (0.0534) loss_lansim: 0.0544 (0.0509) loss_contra: 0.0002 (0.0034) time: 2.6881 data: 0.0054 max mem: 31630 Epoch: [26] [2930/5278] eta: 1:46:04 lr: 1.874180086851824e-05 loss: 0.0478 (0.0539) loss_seg: 0.0473 (0.0534) loss_lansim: 0.0546 (0.0509) loss_contra: 0.0002 (0.0034) time: 2.6963 data: 0.0054 max mem: 31630 Epoch: [26] [2940/5278] eta: 1:45:37 lr: 1.8739423824840845e-05 loss: 0.0476 (0.0539) loss_seg: 0.0470 (0.0534) loss_lansim: 0.0544 (0.0509) loss_contra: 0.0002 (0.0034) time: 2.6947 data: 0.0054 max mem: 31630 Epoch: [26] [2950/5278] eta: 1:45:10 lr: 1.8737046747660607e-05 loss: 0.0466 (0.0539) loss_seg: 0.0461 (0.0533) loss_lansim: 0.0544 (0.0509) loss_contra: 0.0002 (0.0034) time: 2.7027 data: 0.0054 max mem: 31630 Epoch: [26] [2960/5278] eta: 1:44:43 lr: 1.8734669636972328e-05 loss: 0.0466 (0.0539) loss_seg: 0.0461 (0.0533) loss_lansim: 0.0542 (0.0509) loss_contra: 0.0002 (0.0034) time: 2.6998 data: 0.0054 max mem: 31630 Epoch: [26] [2970/5278] eta: 1:44:16 lr: 1.8732292492770807e-05 loss: 0.0466 (0.0539) loss_seg: 0.0461 (0.0534) loss_lansim: 0.0542 (0.0510) loss_contra: 0.0002 (0.0034) time: 2.7011 data: 0.0054 max mem: 31630 Epoch: [26] [2980/5278] eta: 1:43:49 lr: 1.872991531505085e-05 loss: 0.0476 (0.0539) loss_seg: 0.0470 (0.0534) loss_lansim: 0.0539 (0.0510) loss_contra: 0.0002 (0.0034) time: 2.7031 data: 0.0055 max mem: 31630 Epoch: [26] [2990/5278] eta: 1:43:22 lr: 1.8727538103807266e-05 loss: 0.0476 (0.0539) loss_seg: 0.0470 (0.0534) loss_lansim: 0.0544 (0.0510) loss_contra: 0.0002 (0.0034) time: 2.7053 data: 0.0055 max mem: 31630 Epoch: [26] [3000/5278] eta: 1:42:55 lr: 1.872516085903484e-05 loss: 0.0476 (0.0539) loss_seg: 0.0470 (0.0534) loss_lansim: 0.0544 (0.0510) loss_contra: 0.0002 (0.0034) time: 2.7080 data: 0.0056 max mem: 31630 Epoch: [26] [3010/5278] eta: 1:42:28 lr: 1.8722783580728374e-05 loss: 0.0459 (0.0539) loss_seg: 0.0453 (0.0534) loss_lansim: 0.0544 (0.0510) loss_contra: 0.0003 (0.0035) time: 2.7144 data: 0.0056 max mem: 31630 Epoch: [26] [3020/5278] eta: 1:42:01 lr: 1.8720406268882665e-05 loss: 0.0477 (0.0540) loss_seg: 0.0470 (0.0534) loss_lansim: 0.0548 (0.0510) loss_contra: 0.0003 (0.0035) time: 2.7179 data: 0.0057 max mem: 31630 Epoch: [26] [3030/5278] eta: 1:41:34 lr: 1.8718028923492513e-05 loss: 0.0477 (0.0539) loss_seg: 0.0470 (0.0534) loss_lansim: 0.0539 (0.0510) loss_contra: 0.0003 (0.0035) time: 2.7201 data: 0.0058 max mem: 31630 Epoch: [26] [3040/5278] eta: 1:41:07 lr: 1.87156515445527e-05 loss: 0.0477 (0.0539) loss_seg: 0.0471 (0.0534) loss_lansim: 0.0540 (0.0510) loss_contra: 0.0004 (0.0035) time: 2.7239 data: 0.0058 max mem: 31630 Epoch: [26] [3050/5278] eta: 1:40:40 lr: 1.871327413205802e-05 loss: 0.0495 (0.0539) loss_seg: 0.0489 (0.0534) loss_lansim: 0.0546 (0.0511) loss_contra: 0.0004 (0.0035) time: 2.7166 data: 0.0059 max mem: 31630 Epoch: [26] [3060/5278] eta: 1:40:13 lr: 1.871089668600327e-05 loss: 0.0480 (0.0539) loss_seg: 0.0475 (0.0534) loss_lansim: 0.0546 (0.0511) loss_contra: 0.0004 (0.0036) time: 2.7222 data: 0.0060 max mem: 31630 Epoch: [26] [3070/5278] eta: 1:39:45 lr: 1.870851920638323e-05 loss: 0.0475 (0.0539) loss_seg: 0.0469 (0.0533) loss_lansim: 0.0544 (0.0511) loss_contra: 0.0005 (0.0036) time: 2.7199 data: 0.0060 max mem: 31630 Epoch: [26] [3080/5278] eta: 1:39:19 lr: 1.870614169319269e-05 loss: 0.0469 (0.0539) loss_seg: 0.0463 (0.0533) loss_lansim: 0.0544 (0.0511) loss_contra: 0.0006 (0.0036) time: 2.7228 data: 0.0061 max mem: 31630 Epoch: [26] [3090/5278] eta: 1:38:51 lr: 1.8703764146426437e-05 loss: 0.0475 (0.0539) loss_seg: 0.0469 (0.0533) loss_lansim: 0.0537 (0.0511) loss_contra: 0.0007 (0.0036) time: 2.7214 data: 0.0060 max mem: 31630 Epoch: [26] [3100/5278] eta: 1:38:25 lr: 1.870138656607925e-05 loss: 0.0475 (0.0539) loss_seg: 0.0469 (0.0533) loss_lansim: 0.0537 (0.0511) loss_contra: 0.0005 (0.0036) time: 2.7263 data: 0.0060 max mem: 31630 Epoch: [26] [3110/5278] eta: 1:37:57 lr: 1.8699008952145914e-05 loss: 0.0479 (0.0539) loss_seg: 0.0473 (0.0533) loss_lansim: 0.0537 (0.0511) loss_contra: 0.0004 (0.0036) time: 2.7189 data: 0.0059 max mem: 31630 Epoch: [26] [3120/5278] eta: 1:37:30 lr: 1.8696631304621208e-05 loss: 0.0478 (0.0539) loss_seg: 0.0473 (0.0533) loss_lansim: 0.0536 (0.0511) loss_contra: 0.0005 (0.0036) time: 2.7181 data: 0.0059 max mem: 31630 Epoch: [26] [3130/5278] eta: 1:37:03 lr: 1.869425362349991e-05 loss: 0.0490 (0.0539) loss_seg: 0.0485 (0.0534) loss_lansim: 0.0537 (0.0511) loss_contra: 0.0005 (0.0035) time: 2.7139 data: 0.0058 max mem: 31630 Epoch: [26] [3140/5278] eta: 1:36:36 lr: 1.8691875908776795e-05 loss: 0.0479 (0.0539) loss_seg: 0.0473 (0.0533) loss_lansim: 0.0534 (0.0511) loss_contra: 0.0005 (0.0036) time: 2.7162 data: 0.0057 max mem: 31630 Epoch: [26] [3150/5278] eta: 1:36:09 lr: 1.8689498160446643e-05 loss: 0.0490 (0.0539) loss_seg: 0.0485 (0.0534) loss_lansim: 0.0532 (0.0511) loss_contra: 0.0004 (0.0036) time: 2.7156 data: 0.0057 max mem: 31630 Epoch: [26] [3160/5278] eta: 1:35:42 lr: 1.8687120378504236e-05 loss: 0.0491 (0.0540) loss_seg: 0.0485 (0.0534) loss_lansim: 0.0523 (0.0511) loss_contra: 0.0004 (0.0036) time: 2.7157 data: 0.0057 max mem: 31630 Epoch: [26] [3170/5278] eta: 1:35:15 lr: 1.8684742562944333e-05 loss: 0.0521 (0.0540) loss_seg: 0.0516 (0.0534) loss_lansim: 0.0531 (0.0511) loss_contra: 0.0004 (0.0036) time: 2.7153 data: 0.0057 max mem: 31630 Epoch: [26] [3180/5278] eta: 1:34:48 lr: 1.868236471376171e-05 loss: 0.0531 (0.0540) loss_seg: 0.0526 (0.0534) loss_lansim: 0.0522 (0.0511) loss_contra: 0.0004 (0.0036) time: 2.7135 data: 0.0057 max mem: 31630 Epoch: [26] [3190/5278] eta: 1:34:20 lr: 1.867998683095113e-05 loss: 0.0528 (0.0540) loss_seg: 0.0523 (0.0534) loss_lansim: 0.0521 (0.0511) loss_contra: 0.0004 (0.0036) time: 2.7121 data: 0.0057 max mem: 31630 Epoch: [26] [3200/5278] eta: 1:33:53 lr: 1.8677608914507376e-05 loss: 0.0520 (0.0540) loss_seg: 0.0515 (0.0534) loss_lansim: 0.0519 (0.0511) loss_contra: 0.0004 (0.0036) time: 2.7073 data: 0.0057 max mem: 31630 Epoch: [26] [3210/5278] eta: 1:33:26 lr: 1.8675230964425204e-05 loss: 0.0521 (0.0540) loss_seg: 0.0516 (0.0534) loss_lansim: 0.0518 (0.0512) loss_contra: 0.0005 (0.0036) time: 2.7101 data: 0.0057 max mem: 31630 Epoch: [26] [3220/5278] eta: 1:32:59 lr: 1.867285298069938e-05 loss: 0.0521 (0.0540) loss_seg: 0.0516 (0.0534) loss_lansim: 0.0520 (0.0512) loss_contra: 0.0004 (0.0036) time: 2.7074 data: 0.0057 max mem: 31630 Epoch: [26] [3230/5278] eta: 1:32:32 lr: 1.8670474963324664e-05 loss: 0.0514 (0.0540) loss_seg: 0.0508 (0.0534) loss_lansim: 0.0519 (0.0512) loss_contra: 0.0004 (0.0035) time: 2.7130 data: 0.0057 max mem: 31630 Epoch: [26] [3240/5278] eta: 1:32:05 lr: 1.8668096912295834e-05 loss: 0.0505 (0.0539) loss_seg: 0.0499 (0.0534) loss_lansim: 0.0521 (0.0512) loss_contra: 0.0004 (0.0036) time: 2.7065 data: 0.0058 max mem: 31630 Epoch: [26] [3250/5278] eta: 1:31:38 lr: 1.8665718827607625e-05 loss: 0.0485 (0.0539) loss_seg: 0.0480 (0.0534) loss_lansim: 0.0522 (0.0512) loss_contra: 0.0004 (0.0036) time: 2.7089 data: 0.0057 max mem: 31630 Epoch: [26] [3260/5278] eta: 1:31:10 lr: 1.8663340709254816e-05 loss: 0.0485 (0.0539) loss_seg: 0.0480 (0.0534) loss_lansim: 0.0525 (0.0512) loss_contra: 0.0004 (0.0036) time: 2.7066 data: 0.0056 max mem: 31630 Epoch: [26] [3270/5278] eta: 1:30:43 lr: 1.866096255723215e-05 loss: 0.0479 (0.0540) loss_seg: 0.0474 (0.0534) loss_lansim: 0.0529 (0.0512) loss_contra: 0.0003 (0.0036) time: 2.7100 data: 0.0056 max mem: 31630 Epoch: [26] [3280/5278] eta: 1:30:16 lr: 1.8658584371534398e-05 loss: 0.0488 (0.0540) loss_seg: 0.0482 (0.0534) loss_lansim: 0.0531 (0.0512) loss_contra: 0.0003 (0.0036) time: 2.7086 data: 0.0055 max mem: 31630 Epoch: [26] [3290/5278] eta: 1:29:49 lr: 1.86562061521563e-05 loss: 0.0479 (0.0539) loss_seg: 0.0472 (0.0534) loss_lansim: 0.0536 (0.0512) loss_contra: 0.0003 (0.0036) time: 2.7119 data: 0.0054 max mem: 31630 Epoch: [26] [3300/5278] eta: 1:29:22 lr: 1.8653827899092613e-05 loss: 0.0487 (0.0540) loss_seg: 0.0481 (0.0534) loss_lansim: 0.0538 (0.0512) loss_contra: 0.0003 (0.0036) time: 2.7128 data: 0.0054 max mem: 31630 Epoch: [26] [3310/5278] eta: 1:28:55 lr: 1.8651449612338088e-05 loss: 0.0480 (0.0539) loss_seg: 0.0474 (0.0534) loss_lansim: 0.0538 (0.0512) loss_contra: 0.0003 (0.0036) time: 2.7122 data: 0.0054 max mem: 31630 Epoch: [26] [3320/5278] eta: 1:28:28 lr: 1.864907129188748e-05 loss: 0.0475 (0.0539) loss_seg: 0.0470 (0.0534) loss_lansim: 0.0537 (0.0512) loss_contra: 0.0003 (0.0036) time: 2.7129 data: 0.0053 max mem: 31630 Epoch: [26] [3330/5278] eta: 1:28:01 lr: 1.8646692937735526e-05 loss: 0.0470 (0.0539) loss_seg: 0.0465 (0.0534) loss_lansim: 0.0540 (0.0513) loss_contra: 0.0003 (0.0036) time: 2.7123 data: 0.0053 max mem: 31630 Epoch: [26] [3340/5278] eta: 1:27:34 lr: 1.864431454987698e-05 loss: 0.0469 (0.0539) loss_seg: 0.0464 (0.0534) loss_lansim: 0.0545 (0.0513) loss_contra: 0.0002 (0.0036) time: 2.7146 data: 0.0053 max mem: 31630 Epoch: [26] [3350/5278] eta: 1:27:07 lr: 1.864193612830658e-05 loss: 0.0471 (0.0539) loss_seg: 0.0465 (0.0533) loss_lansim: 0.0545 (0.0513) loss_contra: 0.0002 (0.0035) time: 2.7148 data: 0.0053 max mem: 31630 Epoch: [26] [3360/5278] eta: 1:26:40 lr: 1.863955767301908e-05 loss: 0.0470 (0.0539) loss_seg: 0.0465 (0.0533) loss_lansim: 0.0539 (0.0513) loss_contra: 0.0002 (0.0035) time: 2.7147 data: 0.0053 max mem: 31630 Epoch: [26] [3370/5278] eta: 1:26:12 lr: 1.863717918400921e-05 loss: 0.0469 (0.0539) loss_seg: 0.0464 (0.0533) loss_lansim: 0.0546 (0.0513) loss_contra: 0.0002 (0.0035) time: 2.7127 data: 0.0053 max mem: 31630 Epoch: [26] [3380/5278] eta: 1:25:45 lr: 1.8634800661271713e-05 loss: 0.0458 (0.0539) loss_seg: 0.0453 (0.0533) loss_lansim: 0.0549 (0.0513) loss_contra: 0.0002 (0.0035) time: 2.7115 data: 0.0053 max mem: 31630 Epoch: [26] [3390/5278] eta: 1:25:18 lr: 1.863242210480133e-05 loss: 0.0454 (0.0539) loss_seg: 0.0448 (0.0533) loss_lansim: 0.0547 (0.0513) loss_contra: 0.0003 (0.0035) time: 2.7123 data: 0.0053 max mem: 31630 Epoch: [26] [3400/5278] eta: 1:24:51 lr: 1.8630043514592797e-05 loss: 0.0454 (0.0539) loss_seg: 0.0448 (0.0533) loss_lansim: 0.0552 (0.0514) loss_contra: 0.0003 (0.0036) time: 2.7127 data: 0.0053 max mem: 31630 Epoch: [26] [3410/5278] eta: 1:24:24 lr: 1.8627664890640856e-05 loss: 0.0452 (0.0538) loss_seg: 0.0445 (0.0533) loss_lansim: 0.0552 (0.0514) loss_contra: 0.0004 (0.0036) time: 2.7163 data: 0.0053 max mem: 31630 Epoch: [26] [3420/5278] eta: 1:23:57 lr: 1.862528623294022e-05 loss: 0.0454 (0.0538) loss_seg: 0.0448 (0.0533) loss_lansim: 0.0557 (0.0514) loss_contra: 0.0004 (0.0036) time: 2.7164 data: 0.0053 max mem: 31630 Epoch: [26] [3430/5278] eta: 1:23:30 lr: 1.8622907541485642e-05 loss: 0.0463 (0.0538) loss_seg: 0.0457 (0.0533) loss_lansim: 0.0558 (0.0514) loss_contra: 0.0004 (0.0036) time: 2.7181 data: 0.0053 max mem: 31630 Epoch: [26] [3440/5278] eta: 1:23:03 lr: 1.8620528816271847e-05 loss: 0.0466 (0.0538) loss_seg: 0.0460 (0.0533) loss_lansim: 0.0552 (0.0514) loss_contra: 0.0004 (0.0036) time: 2.7193 data: 0.0053 max mem: 31630 Epoch: [26] [3450/5278] eta: 1:22:36 lr: 1.861815005729356e-05 loss: 0.0465 (0.0538) loss_seg: 0.0460 (0.0532) loss_lansim: 0.0560 (0.0514) loss_contra: 0.0006 (0.0036) time: 2.7191 data: 0.0053 max mem: 31630 Epoch: [26] [3460/5278] eta: 1:22:09 lr: 1.8615771264545506e-05 loss: 0.0466 (0.0538) loss_seg: 0.0460 (0.0532) loss_lansim: 0.0560 (0.0514) loss_contra: 0.0005 (0.0036) time: 2.7173 data: 0.0053 max mem: 31630 Epoch: [26] [3470/5278] eta: 1:21:42 lr: 1.8613392438022416e-05 loss: 0.0468 (0.0538) loss_seg: 0.0463 (0.0532) loss_lansim: 0.0559 (0.0515) loss_contra: 0.0004 (0.0035) time: 2.7183 data: 0.0053 max mem: 31630 Epoch: [26] [3480/5278] eta: 1:21:15 lr: 1.8611013577719012e-05 loss: 0.0468 (0.0538) loss_seg: 0.0463 (0.0532) loss_lansim: 0.0561 (0.0515) loss_contra: 0.0005 (0.0035) time: 2.7215 data: 0.0054 max mem: 31630 Epoch: [26] [3490/5278] eta: 1:20:47 lr: 1.860863468363003e-05 loss: 0.0473 (0.0539) loss_seg: 0.0468 (0.0533) loss_lansim: 0.0562 (0.0515) loss_contra: 0.0005 (0.0035) time: 2.7182 data: 0.0054 max mem: 31630 Epoch: [26] [3500/5278] eta: 1:20:20 lr: 1.8606255755750167e-05 loss: 0.0477 (0.0539) loss_seg: 0.0470 (0.0533) loss_lansim: 0.0560 (0.0515) loss_contra: 0.0005 (0.0036) time: 2.7193 data: 0.0055 max mem: 31630 Epoch: [26] [3510/5278] eta: 1:19:53 lr: 1.860387679407415e-05 loss: 0.0497 (0.0538) loss_seg: 0.0491 (0.0533) loss_lansim: 0.0560 (0.0515) loss_contra: 0.0004 (0.0035) time: 2.7128 data: 0.0055 max mem: 31630 Epoch: [26] [3520/5278] eta: 1:19:26 lr: 1.8601497798596706e-05 loss: 0.0504 (0.0538) loss_seg: 0.0498 (0.0533) loss_lansim: 0.0559 (0.0515) loss_contra: 0.0004 (0.0035) time: 2.7190 data: 0.0055 max mem: 31630 Epoch: [26] [3530/5278] eta: 1:18:59 lr: 1.859911876931255e-05 loss: 0.0484 (0.0538) loss_seg: 0.0478 (0.0533) loss_lansim: 0.0546 (0.0515) loss_contra: 0.0004 (0.0035) time: 2.7135 data: 0.0055 max mem: 31630 Epoch: [26] [3540/5278] eta: 1:18:32 lr: 1.859673970621639e-05 loss: 0.0512 (0.0539) loss_seg: 0.0506 (0.0533) loss_lansim: 0.0549 (0.0515) loss_contra: 0.0004 (0.0035) time: 2.7129 data: 0.0055 max mem: 31630 Epoch: [26] [3550/5278] eta: 1:18:05 lr: 1.8594360609302942e-05 loss: 0.0517 (0.0539) loss_seg: 0.0511 (0.0533) loss_lansim: 0.0549 (0.0515) loss_contra: 0.0004 (0.0035) time: 2.7112 data: 0.0055 max mem: 31630 Epoch: [26] [3560/5278] eta: 1:17:38 lr: 1.8591981478566916e-05 loss: 0.0521 (0.0539) loss_seg: 0.0515 (0.0533) loss_lansim: 0.0552 (0.0515) loss_contra: 0.0004 (0.0035) time: 2.7116 data: 0.0055 max mem: 31630 Epoch: [26] [3570/5278] eta: 1:17:10 lr: 1.8589602314003033e-05 loss: 0.0501 (0.0539) loss_seg: 0.0497 (0.0533) loss_lansim: 0.0545 (0.0515) loss_contra: 0.0004 (0.0035) time: 2.7098 data: 0.0054 max mem: 31630 Epoch: [26] [3580/5278] eta: 1:16:43 lr: 1.858722311560598e-05 loss: 0.0529 (0.0539) loss_seg: 0.0523 (0.0533) loss_lansim: 0.0541 (0.0516) loss_contra: 0.0004 (0.0035) time: 2.7094 data: 0.0054 max mem: 31630 Epoch: [26] [3590/5278] eta: 1:16:16 lr: 1.858484388337048e-05 loss: 0.0497 (0.0539) loss_seg: 0.0491 (0.0533) loss_lansim: 0.0541 (0.0516) loss_contra: 0.0003 (0.0035) time: 2.7057 data: 0.0054 max mem: 31630 Epoch: [26] [3600/5278] eta: 1:15:49 lr: 1.8582464617291237e-05 loss: 0.0483 (0.0539) loss_seg: 0.0477 (0.0533) loss_lansim: 0.0540 (0.0516) loss_contra: 0.0003 (0.0035) time: 2.7061 data: 0.0053 max mem: 31630 Epoch: [26] [3610/5278] eta: 1:15:22 lr: 1.8580085317362955e-05 loss: 0.0483 (0.0539) loss_seg: 0.0477 (0.0533) loss_lansim: 0.0532 (0.0516) loss_contra: 0.0003 (0.0035) time: 2.7054 data: 0.0053 max mem: 31630 Epoch: [26] [3620/5278] eta: 1:14:55 lr: 1.8577705983580327e-05 loss: 0.0483 (0.0538) loss_seg: 0.0477 (0.0533) loss_lansim: 0.0524 (0.0516) loss_contra: 0.0003 (0.0035) time: 2.7042 data: 0.0054 max mem: 31630 Epoch: [26] [3630/5278] eta: 1:14:28 lr: 1.857532661593806e-05 loss: 0.0490 (0.0538) loss_seg: 0.0484 (0.0533) loss_lansim: 0.0524 (0.0516) loss_contra: 0.0003 (0.0035) time: 2.7043 data: 0.0054 max mem: 31630 Epoch: [26] [3640/5278] eta: 1:14:00 lr: 1.857294721443085e-05 loss: 0.0493 (0.0539) loss_seg: 0.0487 (0.0534) loss_lansim: 0.0532 (0.0516) loss_contra: 0.0003 (0.0035) time: 2.7025 data: 0.0055 max mem: 31630 Epoch: [26] [3650/5278] eta: 1:13:33 lr: 1.85705677790534e-05 loss: 0.0494 (0.0539) loss_seg: 0.0489 (0.0534) loss_lansim: 0.0534 (0.0516) loss_contra: 0.0003 (0.0035) time: 2.7056 data: 0.0056 max mem: 31630 Epoch: [26] [3660/5278] eta: 1:13:06 lr: 1.8568188309800407e-05 loss: 0.0492 (0.0539) loss_seg: 0.0486 (0.0534) loss_lansim: 0.0532 (0.0516) loss_contra: 0.0003 (0.0035) time: 2.7063 data: 0.0055 max mem: 31630 Epoch: [26] [3670/5278] eta: 1:12:39 lr: 1.856580880666656e-05 loss: 0.0490 (0.0539) loss_seg: 0.0484 (0.0534) loss_lansim: 0.0529 (0.0516) loss_contra: 0.0003 (0.0035) time: 2.7081 data: 0.0055 max mem: 31630 Epoch: [26] [3680/5278] eta: 1:12:12 lr: 1.8563429269646547e-05 loss: 0.0466 (0.0539) loss_seg: 0.0459 (0.0533) loss_lansim: 0.0529 (0.0516) loss_contra: 0.0003 (0.0035) time: 2.7050 data: 0.0055 max mem: 31630 Epoch: [26] [3690/5278] eta: 1:11:45 lr: 1.8561049698735064e-05 loss: 0.0474 (0.0539) loss_seg: 0.0469 (0.0533) loss_lansim: 0.0527 (0.0516) loss_contra: 0.0003 (0.0035) time: 2.7103 data: 0.0055 max mem: 31630 Epoch: [26] [3700/5278] eta: 1:11:18 lr: 1.855867009392681e-05 loss: 0.0480 (0.0539) loss_seg: 0.0476 (0.0533) loss_lansim: 0.0520 (0.0516) loss_contra: 0.0003 (0.0035) time: 2.7061 data: 0.0055 max mem: 31630 Epoch: [26] [3710/5278] eta: 1:10:51 lr: 1.855629045521645e-05 loss: 0.0490 (0.0539) loss_seg: 0.0484 (0.0533) loss_lansim: 0.0526 (0.0516) loss_contra: 0.0004 (0.0035) time: 2.7113 data: 0.0055 max mem: 31630 Epoch: [26] [3720/5278] eta: 1:10:23 lr: 1.8553910782598693e-05 loss: 0.0492 (0.0539) loss_seg: 0.0487 (0.0533) loss_lansim: 0.0520 (0.0516) loss_contra: 0.0003 (0.0034) time: 2.7046 data: 0.0055 max mem: 31630 Epoch: [26] [3730/5278] eta: 1:09:56 lr: 1.855153107606821e-05 loss: 0.0493 (0.0539) loss_seg: 0.0487 (0.0533) loss_lansim: 0.0516 (0.0516) loss_contra: 0.0003 (0.0034) time: 2.7071 data: 0.0054 max mem: 31630 Epoch: [26] [3740/5278] eta: 1:09:29 lr: 1.8549151335619696e-05 loss: 0.0498 (0.0539) loss_seg: 0.0491 (0.0534) loss_lansim: 0.0507 (0.0516) loss_contra: 0.0003 (0.0034) time: 2.7056 data: 0.0053 max mem: 31630 Epoch: [26] [3750/5278] eta: 1:09:02 lr: 1.854677156124782e-05 loss: 0.0492 (0.0539) loss_seg: 0.0487 (0.0534) loss_lansim: 0.0505 (0.0516) loss_contra: 0.0002 (0.0034) time: 2.7049 data: 0.0052 max mem: 31630 Epoch: [26] [3760/5278] eta: 1:08:35 lr: 1.8544391752947262e-05 loss: 0.0501 (0.0540) loss_seg: 0.0496 (0.0534) loss_lansim: 0.0503 (0.0516) loss_contra: 0.0002 (0.0034) time: 2.7038 data: 0.0053 max mem: 31630 Epoch: [26] [3770/5278] eta: 1:08:08 lr: 1.854201191071271e-05 loss: 0.0507 (0.0540) loss_seg: 0.0502 (0.0534) loss_lansim: 0.0510 (0.0516) loss_contra: 0.0002 (0.0034) time: 2.7007 data: 0.0053 max mem: 31630 Epoch: [26] [3780/5278] eta: 1:07:41 lr: 1.853963203453884e-05 loss: 0.0514 (0.0540) loss_seg: 0.0509 (0.0534) loss_lansim: 0.0507 (0.0516) loss_contra: 0.0002 (0.0034) time: 2.7024 data: 0.0053 max mem: 31630 Epoch: [26] [3790/5278] eta: 1:07:13 lr: 1.853725212442032e-05 loss: 0.0500 (0.0539) loss_seg: 0.0496 (0.0534) loss_lansim: 0.0504 (0.0516) loss_contra: 0.0001 (0.0034) time: 2.6971 data: 0.0053 max mem: 31630 Epoch: [26] [3800/5278] eta: 1:06:46 lr: 1.853487218035182e-05 loss: 0.0502 (0.0539) loss_seg: 0.0497 (0.0534) loss_lansim: 0.0506 (0.0516) loss_contra: 0.0001 (0.0034) time: 2.7040 data: 0.0053 max mem: 31630 Epoch: [26] [3810/5278] eta: 1:06:19 lr: 1.8532492202328023e-05 loss: 0.0507 (0.0539) loss_seg: 0.0502 (0.0534) loss_lansim: 0.0501 (0.0516) loss_contra: 0.0001 (0.0034) time: 2.7011 data: 0.0053 max mem: 31630 Epoch: [26] [3820/5278] eta: 1:05:52 lr: 1.8530112190343597e-05 loss: 0.0508 (0.0539) loss_seg: 0.0503 (0.0534) loss_lansim: 0.0504 (0.0516) loss_contra: 0.0001 (0.0034) time: 2.7045 data: 0.0053 max mem: 31630 Epoch: [26] [3830/5278] eta: 1:05:25 lr: 1.8527732144393205e-05 loss: 0.0507 (0.0539) loss_seg: 0.0502 (0.0534) loss_lansim: 0.0506 (0.0516) loss_contra: 0.0002 (0.0034) time: 2.6998 data: 0.0053 max mem: 31630 Epoch: [26] [3840/5278] eta: 1:04:58 lr: 1.852535206447152e-05 loss: 0.0484 (0.0539) loss_seg: 0.0479 (0.0534) loss_lansim: 0.0504 (0.0515) loss_contra: 0.0002 (0.0034) time: 2.7083 data: 0.0053 max mem: 31630 Epoch: [26] [3850/5278] eta: 1:04:31 lr: 1.85229719505732e-05 loss: 0.0484 (0.0540) loss_seg: 0.0479 (0.0534) loss_lansim: 0.0501 (0.0515) loss_contra: 0.0002 (0.0034) time: 2.7092 data: 0.0053 max mem: 31630 Epoch: [26] [3860/5278] eta: 1:04:04 lr: 1.8520591802692923e-05 loss: 0.0483 (0.0539) loss_seg: 0.0478 (0.0534) loss_lansim: 0.0502 (0.0515) loss_contra: 0.0002 (0.0034) time: 2.7109 data: 0.0052 max mem: 31630 Epoch: [26] [3870/5278] eta: 1:03:37 lr: 1.8518211620825333e-05 loss: 0.0484 (0.0540) loss_seg: 0.0479 (0.0534) loss_lansim: 0.0500 (0.0515) loss_contra: 0.0002 (0.0034) time: 2.7100 data: 0.0052 max mem: 31630 Epoch: [26] [3880/5278] eta: 1:03:10 lr: 1.85158314049651e-05 loss: 0.0500 (0.0540) loss_seg: 0.0494 (0.0534) loss_lansim: 0.0501 (0.0515) loss_contra: 0.0002 (0.0034) time: 2.7136 data: 0.0052 max mem: 31630 Epoch: [26] [3890/5278] eta: 1:02:42 lr: 1.8513451155106885e-05 loss: 0.0508 (0.0540) loss_seg: 0.0503 (0.0534) loss_lansim: 0.0501 (0.0516) loss_contra: 0.0002 (0.0034) time: 2.7138 data: 0.0052 max mem: 31630 Epoch: [26] [3900/5278] eta: 1:02:15 lr: 1.851107087124534e-05 loss: 0.0502 (0.0540) loss_seg: 0.0498 (0.0534) loss_lansim: 0.0500 (0.0516) loss_contra: 0.0002 (0.0034) time: 2.7138 data: 0.0052 max mem: 31630 Epoch: [26] [3910/5278] eta: 1:01:48 lr: 1.8508690553375136e-05 loss: 0.0508 (0.0540) loss_seg: 0.0502 (0.0534) loss_lansim: 0.0504 (0.0516) loss_contra: 0.0002 (0.0034) time: 2.7127 data: 0.0052 max mem: 31630 Epoch: [26] [3920/5278] eta: 1:01:21 lr: 1.8506310201490907e-05 loss: 0.0500 (0.0539) loss_seg: 0.0494 (0.0534) loss_lansim: 0.0511 (0.0516) loss_contra: 0.0002 (0.0034) time: 2.7159 data: 0.0053 max mem: 31630 Epoch: [26] [3930/5278] eta: 1:00:54 lr: 1.8503929815587313e-05 loss: 0.0485 (0.0539) loss_seg: 0.0479 (0.0534) loss_lansim: 0.0508 (0.0516) loss_contra: 0.0002 (0.0034) time: 2.7191 data: 0.0053 max mem: 31630 Epoch: [26] [3940/5278] eta: 1:00:27 lr: 1.8501549395659006e-05 loss: 0.0497 (0.0540) loss_seg: 0.0492 (0.0534) loss_lansim: 0.0516 (0.0516) loss_contra: 0.0002 (0.0033) time: 2.7142 data: 0.0054 max mem: 31630 Epoch: [26] [3950/5278] eta: 1:00:00 lr: 1.8499168941700643e-05 loss: 0.0487 (0.0540) loss_seg: 0.0482 (0.0534) loss_lansim: 0.0516 (0.0516) loss_contra: 0.0002 (0.0033) time: 2.7109 data: 0.0053 max mem: 31630 Epoch: [26] [3960/5278] eta: 0:59:33 lr: 1.849678845370686e-05 loss: 0.0487 (0.0539) loss_seg: 0.0482 (0.0534) loss_lansim: 0.0516 (0.0516) loss_contra: 0.0002 (0.0033) time: 2.7132 data: 0.0054 max mem: 31630 Epoch: [26] [3970/5278] eta: 0:59:06 lr: 1.8494407931672304e-05 loss: 0.0479 (0.0539) loss_seg: 0.0474 (0.0534) loss_lansim: 0.0517 (0.0516) loss_contra: 0.0002 (0.0033) time: 2.7178 data: 0.0055 max mem: 31630 Epoch: [26] [3980/5278] eta: 0:58:39 lr: 1.8492027375591626e-05 loss: 0.0471 (0.0539) loss_seg: 0.0465 (0.0534) loss_lansim: 0.0517 (0.0516) loss_contra: 0.0002 (0.0033) time: 2.7171 data: 0.0056 max mem: 31630 Epoch: [26] [3990/5278] eta: 0:58:12 lr: 1.8489646785459472e-05 loss: 0.0470 (0.0539) loss_seg: 0.0465 (0.0534) loss_lansim: 0.0517 (0.0516) loss_contra: 0.0002 (0.0033) time: 2.7239 data: 0.0057 max mem: 31630 Epoch: [26] [4000/5278] eta: 0:57:44 lr: 1.848726616127047e-05 loss: 0.0479 (0.0539) loss_seg: 0.0474 (0.0534) loss_lansim: 0.0525 (0.0516) loss_contra: 0.0002 (0.0033) time: 2.7189 data: 0.0057 max mem: 31630 Epoch: [26] [4010/5278] eta: 0:57:17 lr: 1.8484885503019273e-05 loss: 0.0471 (0.0539) loss_seg: 0.0465 (0.0534) loss_lansim: 0.0527 (0.0516) loss_contra: 0.0001 (0.0033) time: 2.7242 data: 0.0058 max mem: 31630 Epoch: [26] [4020/5278] eta: 0:56:50 lr: 1.848250481070051e-05 loss: 0.0461 (0.0539) loss_seg: 0.0457 (0.0534) loss_lansim: 0.0527 (0.0516) loss_contra: 0.0001 (0.0033) time: 2.7196 data: 0.0058 max mem: 31630 Epoch: [26] [4030/5278] eta: 0:56:23 lr: 1.848012408430883e-05 loss: 0.0459 (0.0539) loss_seg: 0.0453 (0.0533) loss_lansim: 0.0537 (0.0516) loss_contra: 0.0001 (0.0033) time: 2.7210 data: 0.0058 max mem: 31630 Epoch: [26] [4040/5278] eta: 0:55:56 lr: 1.8477743323838855e-05 loss: 0.0439 (0.0539) loss_seg: 0.0433 (0.0534) loss_lansim: 0.0537 (0.0516) loss_contra: 0.0001 (0.0033) time: 2.7193 data: 0.0058 max mem: 31630 Epoch: [26] [4050/5278] eta: 0:55:29 lr: 1.847536252928522e-05 loss: 0.0440 (0.0539) loss_seg: 0.0434 (0.0534) loss_lansim: 0.0542 (0.0516) loss_contra: 0.0001 (0.0033) time: 2.7242 data: 0.0058 max mem: 31630 Epoch: [26] [4060/5278] eta: 0:55:02 lr: 1.847298170064256e-05 loss: 0.0451 (0.0540) loss_seg: 0.0445 (0.0534) loss_lansim: 0.0546 (0.0517) loss_contra: 0.0001 (0.0033) time: 2.7240 data: 0.0057 max mem: 31630 Epoch: [26] [4070/5278] eta: 0:54:35 lr: 1.8470600837905512e-05 loss: 0.0462 (0.0540) loss_seg: 0.0456 (0.0534) loss_lansim: 0.0557 (0.0517) loss_contra: 0.0001 (0.0033) time: 2.7216 data: 0.0056 max mem: 31630 Epoch: [26] [4080/5278] eta: 0:54:08 lr: 1.846821994106869e-05 loss: 0.0493 (0.0540) loss_seg: 0.0488 (0.0534) loss_lansim: 0.0559 (0.0517) loss_contra: 0.0002 (0.0033) time: 2.7200 data: 0.0055 max mem: 31630 Epoch: [26] [4090/5278] eta: 0:53:41 lr: 1.846583901012673e-05 loss: 0.0465 (0.0539) loss_seg: 0.0461 (0.0534) loss_lansim: 0.0560 (0.0517) loss_contra: 0.0002 (0.0033) time: 2.7147 data: 0.0054 max mem: 31630 Epoch: [26] [4100/5278] eta: 0:53:14 lr: 1.8463458045074254e-05 loss: 0.0466 (0.0540) loss_seg: 0.0461 (0.0534) loss_lansim: 0.0560 (0.0517) loss_contra: 0.0002 (0.0033) time: 2.7184 data: 0.0054 max mem: 31630 Epoch: [26] [4110/5278] eta: 0:52:46 lr: 1.8461077045905898e-05 loss: 0.0489 (0.0540) loss_seg: 0.0484 (0.0534) loss_lansim: 0.0569 (0.0517) loss_contra: 0.0002 (0.0033) time: 2.7139 data: 0.0053 max mem: 31630 Epoch: [26] [4120/5278] eta: 0:52:19 lr: 1.8458696012616263e-05 loss: 0.0487 (0.0540) loss_seg: 0.0482 (0.0534) loss_lansim: 0.0564 (0.0517) loss_contra: 0.0002 (0.0033) time: 2.7158 data: 0.0054 max mem: 31630 Epoch: [26] [4130/5278] eta: 0:51:52 lr: 1.8456314945199983e-05 loss: 0.0491 (0.0540) loss_seg: 0.0484 (0.0534) loss_lansim: 0.0564 (0.0518) loss_contra: 0.0002 (0.0033) time: 2.7129 data: 0.0053 max mem: 31630 Epoch: [26] [4140/5278] eta: 0:51:25 lr: 1.8453933843651673e-05 loss: 0.0499 (0.0540) loss_seg: 0.0493 (0.0534) loss_lansim: 0.0569 (0.0518) loss_contra: 0.0002 (0.0033) time: 2.7168 data: 0.0053 max mem: 31630 Epoch: [26] [4150/5278] eta: 0:50:58 lr: 1.8451552707965946e-05 loss: 0.0499 (0.0540) loss_seg: 0.0493 (0.0534) loss_lansim: 0.0568 (0.0518) loss_contra: 0.0001 (0.0033) time: 2.7153 data: 0.0053 max mem: 31630 Epoch: [26] [4160/5278] eta: 0:50:31 lr: 1.8449171538137433e-05 loss: 0.0489 (0.0540) loss_seg: 0.0484 (0.0534) loss_lansim: 0.0569 (0.0518) loss_contra: 0.0001 (0.0033) time: 2.7154 data: 0.0054 max mem: 31630 Epoch: [26] [4170/5278] eta: 0:50:04 lr: 1.8446790334160732e-05 loss: 0.0476 (0.0540) loss_seg: 0.0469 (0.0534) loss_lansim: 0.0558 (0.0518) loss_contra: 0.0001 (0.0033) time: 2.7186 data: 0.0053 max mem: 31630 Epoch: [26] [4180/5278] eta: 0:49:37 lr: 1.844440909603046e-05 loss: 0.0455 (0.0540) loss_seg: 0.0450 (0.0534) loss_lansim: 0.0563 (0.0518) loss_contra: 0.0001 (0.0033) time: 2.7182 data: 0.0054 max mem: 31630 Epoch: [26] [4190/5278] eta: 0:49:10 lr: 1.844202782374123e-05 loss: 0.0473 (0.0540) loss_seg: 0.0468 (0.0534) loss_lansim: 0.0558 (0.0518) loss_contra: 0.0002 (0.0033) time: 2.7231 data: 0.0055 max mem: 31630 Epoch: [26] [4200/5278] eta: 0:48:43 lr: 1.8439646517287654e-05 loss: 0.0473 (0.0540) loss_seg: 0.0468 (0.0534) loss_lansim: 0.0561 (0.0518) loss_contra: 0.0001 (0.0033) time: 2.7173 data: 0.0055 max mem: 31630 Epoch: [26] [4210/5278] eta: 0:48:15 lr: 1.843726517666433e-05 loss: 0.0469 (0.0540) loss_seg: 0.0462 (0.0534) loss_lansim: 0.0552 (0.0518) loss_contra: 0.0002 (0.0033) time: 2.7205 data: 0.0055 max mem: 31630 Epoch: [26] [4220/5278] eta: 0:47:48 lr: 1.843488380186587e-05 loss: 0.0481 (0.0540) loss_seg: 0.0474 (0.0534) loss_lansim: 0.0556 (0.0518) loss_contra: 0.0002 (0.0033) time: 2.7159 data: 0.0056 max mem: 31630 Epoch: [26] [4230/5278] eta: 0:47:21 lr: 1.8432502392886873e-05 loss: 0.0496 (0.0540) loss_seg: 0.0490 (0.0534) loss_lansim: 0.0551 (0.0518) loss_contra: 0.0002 (0.0033) time: 2.7208 data: 0.0056 max mem: 31630 Epoch: [26] [4240/5278] eta: 0:46:54 lr: 1.8430120949721953e-05 loss: 0.0500 (0.0540) loss_seg: 0.0495 (0.0534) loss_lansim: 0.0550 (0.0518) loss_contra: 0.0002 (0.0033) time: 2.7156 data: 0.0056 max mem: 31630 Epoch: [26] [4250/5278] eta: 0:46:27 lr: 1.84277394723657e-05 loss: 0.0498 (0.0540) loss_seg: 0.0492 (0.0535) loss_lansim: 0.0547 (0.0518) loss_contra: 0.0002 (0.0033) time: 2.7139 data: 0.0058 max mem: 31630 Epoch: [26] [4260/5278] eta: 0:46:00 lr: 1.842535796081272e-05 loss: 0.0507 (0.0540) loss_seg: 0.0502 (0.0535) loss_lansim: 0.0546 (0.0518) loss_contra: 0.0002 (0.0033) time: 2.7102 data: 0.0058 max mem: 31630 Epoch: [26] [4270/5278] eta: 0:45:33 lr: 1.8422976415057603e-05 loss: 0.0502 (0.0540) loss_seg: 0.0497 (0.0534) loss_lansim: 0.0547 (0.0518) loss_contra: 0.0003 (0.0033) time: 2.7083 data: 0.0059 max mem: 31630 Epoch: [26] [4280/5278] eta: 0:45:06 lr: 1.8420594835094958e-05 loss: 0.0503 (0.0540) loss_seg: 0.0497 (0.0534) loss_lansim: 0.0534 (0.0518) loss_contra: 0.0003 (0.0033) time: 2.7073 data: 0.0058 max mem: 31630 Epoch: [26] [4290/5278] eta: 0:44:38 lr: 1.8418213220919364e-05 loss: 0.0511 (0.0540) loss_seg: 0.0505 (0.0534) loss_lansim: 0.0542 (0.0518) loss_contra: 0.0003 (0.0033) time: 2.7049 data: 0.0058 max mem: 31630 Epoch: [26] [4300/5278] eta: 0:44:11 lr: 1.841583157252542e-05 loss: 0.0503 (0.0540) loss_seg: 0.0497 (0.0534) loss_lansim: 0.0527 (0.0519) loss_contra: 0.0003 (0.0033) time: 2.7098 data: 0.0058 max mem: 31630 Epoch: [26] [4310/5278] eta: 0:43:44 lr: 1.8413449889907722e-05 loss: 0.0498 (0.0540) loss_seg: 0.0492 (0.0534) loss_lansim: 0.0526 (0.0519) loss_contra: 0.0003 (0.0033) time: 2.7074 data: 0.0059 max mem: 31630 Epoch: [26] [4320/5278] eta: 0:43:17 lr: 1.8411068173060862e-05 loss: 0.0493 (0.0540) loss_seg: 0.0488 (0.0534) loss_lansim: 0.0525 (0.0519) loss_contra: 0.0004 (0.0033) time: 2.7147 data: 0.0059 max mem: 31630 Epoch: [26] [4330/5278] eta: 0:42:50 lr: 1.840868642197941e-05 loss: 0.0477 (0.0539) loss_seg: 0.0472 (0.0534) loss_lansim: 0.0527 (0.0519) loss_contra: 0.0004 (0.0033) time: 2.7092 data: 0.0060 max mem: 31630 Epoch: [26] [4340/5278] eta: 0:42:23 lr: 1.8406304636657974e-05 loss: 0.0476 (0.0539) loss_seg: 0.0471 (0.0534) loss_lansim: 0.0528 (0.0519) loss_contra: 0.0003 (0.0033) time: 2.7131 data: 0.0061 max mem: 31630 Epoch: [26] [4350/5278] eta: 0:41:56 lr: 1.840392281709112e-05 loss: 0.0476 (0.0539) loss_seg: 0.0471 (0.0534) loss_lansim: 0.0542 (0.0519) loss_contra: 0.0003 (0.0033) time: 2.7119 data: 0.0060 max mem: 31630 Epoch: [26] [4360/5278] eta: 0:41:29 lr: 1.840154096327345e-05 loss: 0.0472 (0.0539) loss_seg: 0.0467 (0.0534) loss_lansim: 0.0541 (0.0519) loss_contra: 0.0003 (0.0033) time: 2.7139 data: 0.0061 max mem: 31630 Epoch: [26] [4370/5278] eta: 0:41:02 lr: 1.839915907519953e-05 loss: 0.0479 (0.0539) loss_seg: 0.0473 (0.0534) loss_lansim: 0.0549 (0.0519) loss_contra: 0.0002 (0.0033) time: 2.7116 data: 0.0061 max mem: 31630 Epoch: [26] [4380/5278] eta: 0:40:34 lr: 1.839677715286394e-05 loss: 0.0488 (0.0540) loss_seg: 0.0482 (0.0534) loss_lansim: 0.0541 (0.0519) loss_contra: 0.0002 (0.0032) time: 2.7139 data: 0.0061 max mem: 31630 Epoch: [26] [4390/5278] eta: 0:40:07 lr: 1.839439519626127e-05 loss: 0.0479 (0.0539) loss_seg: 0.0473 (0.0534) loss_lansim: 0.0541 (0.0519) loss_contra: 0.0002 (0.0032) time: 2.7140 data: 0.0063 max mem: 31630 Epoch: [26] [4400/5278] eta: 0:39:40 lr: 1.8392013205386084e-05 loss: 0.0479 (0.0539) loss_seg: 0.0473 (0.0534) loss_lansim: 0.0541 (0.0519) loss_contra: 0.0002 (0.0032) time: 2.7103 data: 0.0063 max mem: 31630 Epoch: [26] [4410/5278] eta: 0:39:13 lr: 1.838963118023297e-05 loss: 0.0482 (0.0539) loss_seg: 0.0475 (0.0534) loss_lansim: 0.0540 (0.0519) loss_contra: 0.0002 (0.0032) time: 2.7113 data: 0.0063 max mem: 31630 Epoch: [26] [4420/5278] eta: 0:38:46 lr: 1.8387249120796486e-05 loss: 0.0479 (0.0539) loss_seg: 0.0473 (0.0534) loss_lansim: 0.0532 (0.0519) loss_contra: 0.0002 (0.0032) time: 2.7079 data: 0.0062 max mem: 31630 Epoch: [26] [4430/5278] eta: 0:38:19 lr: 1.8384867027071214e-05 loss: 0.0503 (0.0539) loss_seg: 0.0496 (0.0534) loss_lansim: 0.0530 (0.0519) loss_contra: 0.0003 (0.0032) time: 2.7133 data: 0.0062 max mem: 31630 Epoch: [26] [4440/5278] eta: 0:37:52 lr: 1.8382484899051723e-05 loss: 0.0503 (0.0539) loss_seg: 0.0496 (0.0534) loss_lansim: 0.0530 (0.0519) loss_contra: 0.0003 (0.0032) time: 2.7083 data: 0.0061 max mem: 31630 Epoch: [26] [4450/5278] eta: 0:37:25 lr: 1.8380102736732584e-05 loss: 0.0487 (0.0539) loss_seg: 0.0482 (0.0534) loss_lansim: 0.0522 (0.0519) loss_contra: 0.0003 (0.0032) time: 2.7147 data: 0.0060 max mem: 31630 Epoch: [26] [4460/5278] eta: 0:36:58 lr: 1.837772054010835e-05 loss: 0.0506 (0.0539) loss_seg: 0.0501 (0.0534) loss_lansim: 0.0525 (0.0519) loss_contra: 0.0003 (0.0032) time: 2.7123 data: 0.0059 max mem: 31630 Epoch: [26] [4470/5278] eta: 0:36:30 lr: 1.8375338309173596e-05 loss: 0.0487 (0.0539) loss_seg: 0.0482 (0.0534) loss_lansim: 0.0522 (0.0519) loss_contra: 0.0003 (0.0032) time: 2.7151 data: 0.0058 max mem: 31630 Epoch: [26] [4480/5278] eta: 0:36:03 lr: 1.8372956043922885e-05 loss: 0.0496 (0.0539) loss_seg: 0.0492 (0.0534) loss_lansim: 0.0516 (0.0519) loss_contra: 0.0004 (0.0032) time: 2.7111 data: 0.0058 max mem: 31630 Epoch: [26] [4490/5278] eta: 0:35:36 lr: 1.8370573744350785e-05 loss: 0.0506 (0.0539) loss_seg: 0.0501 (0.0534) loss_lansim: 0.0513 (0.0519) loss_contra: 0.0003 (0.0032) time: 2.7115 data: 0.0057 max mem: 31630 Epoch: [26] [4500/5278] eta: 0:35:09 lr: 1.836819141045184e-05 loss: 0.0506 (0.0539) loss_seg: 0.0501 (0.0534) loss_lansim: 0.0510 (0.0519) loss_contra: 0.0004 (0.0032) time: 2.7127 data: 0.0057 max mem: 31630 Epoch: [26] [4510/5278] eta: 0:34:42 lr: 1.836580904222062e-05 loss: 0.0500 (0.0539) loss_seg: 0.0495 (0.0534) loss_lansim: 0.0510 (0.0519) loss_contra: 0.0003 (0.0032) time: 2.7140 data: 0.0056 max mem: 31630 Epoch: [26] [4520/5278] eta: 0:34:15 lr: 1.8363426639651677e-05 loss: 0.0499 (0.0539) loss_seg: 0.0494 (0.0533) loss_lansim: 0.0519 (0.0519) loss_contra: 0.0003 (0.0032) time: 2.7131 data: 0.0056 max mem: 31630 Epoch: [26] [4530/5278] eta: 0:33:48 lr: 1.836104420273958e-05 loss: 0.0496 (0.0539) loss_seg: 0.0492 (0.0534) loss_lansim: 0.0513 (0.0519) loss_contra: 0.0003 (0.0032) time: 2.7087 data: 0.0056 max mem: 31630 Epoch: [26] [4540/5278] eta: 0:33:21 lr: 1.8358661731478857e-05 loss: 0.0495 (0.0539) loss_seg: 0.0488 (0.0533) loss_lansim: 0.0509 (0.0519) loss_contra: 0.0002 (0.0032) time: 2.7116 data: 0.0057 max mem: 31630 Epoch: [26] [4550/5278] eta: 0:32:53 lr: 1.8356279225864075e-05 loss: 0.0499 (0.0539) loss_seg: 0.0494 (0.0534) loss_lansim: 0.0507 (0.0519) loss_contra: 0.0002 (0.0032) time: 2.7063 data: 0.0057 max mem: 31630 Epoch: [26] [4560/5278] eta: 0:32:26 lr: 1.8353896685889784e-05 loss: 0.0489 (0.0539) loss_seg: 0.0484 (0.0534) loss_lansim: 0.0507 (0.0519) loss_contra: 0.0002 (0.0032) time: 2.7117 data: 0.0057 max mem: 31630 Epoch: [26] [4570/5278] eta: 0:31:59 lr: 1.835151411155054e-05 loss: 0.0485 (0.0539) loss_seg: 0.0480 (0.0534) loss_lansim: 0.0507 (0.0519) loss_contra: 0.0002 (0.0032) time: 2.7085 data: 0.0057 max mem: 31630 Epoch: [26] [4580/5278] eta: 0:31:32 lr: 1.834913150284087e-05 loss: 0.0476 (0.0539) loss_seg: 0.0471 (0.0534) loss_lansim: 0.0507 (0.0519) loss_contra: 0.0002 (0.0032) time: 2.7138 data: 0.0058 max mem: 31630 Epoch: [26] [4590/5278] eta: 0:31:05 lr: 1.8346748859755338e-05 loss: 0.0471 (0.0539) loss_seg: 0.0465 (0.0533) loss_lansim: 0.0509 (0.0519) loss_contra: 0.0002 (0.0032) time: 2.7115 data: 0.0057 max mem: 31630 Epoch: [26] [4600/5278] eta: 0:30:38 lr: 1.8344366182288474e-05 loss: 0.0462 (0.0539) loss_seg: 0.0457 (0.0533) loss_lansim: 0.0515 (0.0519) loss_contra: 0.0002 (0.0032) time: 2.7115 data: 0.0057 max mem: 31630 Epoch: [26] [4610/5278] eta: 0:30:11 lr: 1.8341983470434833e-05 loss: 0.0470 (0.0539) loss_seg: 0.0465 (0.0533) loss_lansim: 0.0515 (0.0519) loss_contra: 0.0002 (0.0032) time: 2.7100 data: 0.0057 max mem: 31630 Epoch: [26] [4620/5278] eta: 0:29:44 lr: 1.833960072418894e-05 loss: 0.0472 (0.0539) loss_seg: 0.0468 (0.0533) loss_lansim: 0.0511 (0.0519) loss_contra: 0.0002 (0.0032) time: 2.7090 data: 0.0057 max mem: 31630 Epoch: [26] [4630/5278] eta: 0:29:17 lr: 1.8337217943545343e-05 loss: 0.0479 (0.0539) loss_seg: 0.0473 (0.0533) loss_lansim: 0.0509 (0.0519) loss_contra: 0.0002 (0.0032) time: 2.7138 data: 0.0056 max mem: 31630 Epoch: [26] [4640/5278] eta: 0:28:49 lr: 1.833483512849858e-05 loss: 0.0472 (0.0539) loss_seg: 0.0468 (0.0533) loss_lansim: 0.0506 (0.0519) loss_contra: 0.0002 (0.0032) time: 2.7106 data: 0.0056 max mem: 31630 Epoch: [26] [4650/5278] eta: 0:28:22 lr: 1.833245227904318e-05 loss: 0.0470 (0.0539) loss_seg: 0.0465 (0.0533) loss_lansim: 0.0504 (0.0519) loss_contra: 0.0002 (0.0032) time: 2.7129 data: 0.0057 max mem: 31630 Epoch: [26] [4660/5278] eta: 0:27:55 lr: 1.833006939517369e-05 loss: 0.0479 (0.0539) loss_seg: 0.0473 (0.0533) loss_lansim: 0.0501 (0.0519) loss_contra: 0.0002 (0.0032) time: 2.7057 data: 0.0056 max mem: 31630 Epoch: [26] [4670/5278] eta: 0:27:28 lr: 1.8327686476884624e-05 loss: 0.0481 (0.0539) loss_seg: 0.0476 (0.0534) loss_lansim: 0.0498 (0.0519) loss_contra: 0.0002 (0.0032) time: 2.7079 data: 0.0056 max mem: 31630 Epoch: [26] [4680/5278] eta: 0:27:01 lr: 1.832530352417052e-05 loss: 0.0482 (0.0539) loss_seg: 0.0477 (0.0534) loss_lansim: 0.0491 (0.0519) loss_contra: 0.0002 (0.0032) time: 2.7048 data: 0.0055 max mem: 31630 Epoch: [26] [4690/5278] eta: 0:26:34 lr: 1.8322920537025907e-05 loss: 0.0500 (0.0539) loss_seg: 0.0495 (0.0534) loss_lansim: 0.0491 (0.0519) loss_contra: 0.0002 (0.0032) time: 2.7084 data: 0.0055 max mem: 31630 Epoch: [26] [4700/5278] eta: 0:26:07 lr: 1.8320537515445318e-05 loss: 0.0517 (0.0539) loss_seg: 0.0512 (0.0534) loss_lansim: 0.0490 (0.0519) loss_contra: 0.0002 (0.0032) time: 2.7104 data: 0.0054 max mem: 31630 Epoch: [26] [4710/5278] eta: 0:25:40 lr: 1.831815445942327e-05 loss: 0.0485 (0.0539) loss_seg: 0.0480 (0.0534) loss_lansim: 0.0490 (0.0519) loss_contra: 0.0002 (0.0032) time: 2.7081 data: 0.0054 max mem: 31630 Epoch: [26] [4720/5278] eta: 0:25:12 lr: 1.8315771368954286e-05 loss: 0.0493 (0.0539) loss_seg: 0.0488 (0.0534) loss_lansim: 0.0489 (0.0519) loss_contra: 0.0002 (0.0032) time: 2.7067 data: 0.0054 max mem: 31630 Epoch: [26] [4730/5278] eta: 0:24:45 lr: 1.8313388244032896e-05 loss: 0.0493 (0.0539) loss_seg: 0.0488 (0.0534) loss_lansim: 0.0490 (0.0519) loss_contra: 0.0002 (0.0032) time: 2.7048 data: 0.0054 max mem: 31630 Epoch: [26] [4740/5278] eta: 0:24:18 lr: 1.8311005084653616e-05 loss: 0.0520 (0.0539) loss_seg: 0.0516 (0.0534) loss_lansim: 0.0491 (0.0518) loss_contra: 0.0002 (0.0032) time: 2.7101 data: 0.0054 max mem: 31630 Epoch: [26] [4750/5278] eta: 0:23:51 lr: 1.8308621890810958e-05 loss: 0.0508 (0.0539) loss_seg: 0.0503 (0.0534) loss_lansim: 0.0493 (0.0518) loss_contra: 0.0002 (0.0032) time: 2.7074 data: 0.0054 max mem: 31630 Epoch: [26] [4760/5278] eta: 0:23:24 lr: 1.830623866249945e-05 loss: 0.0520 (0.0539) loss_seg: 0.0516 (0.0534) loss_lansim: 0.0491 (0.0518) loss_contra: 0.0002 (0.0032) time: 2.7113 data: 0.0054 max mem: 31630 Epoch: [26] [4770/5278] eta: 0:22:57 lr: 1.83038553997136e-05 loss: 0.0510 (0.0539) loss_seg: 0.0503 (0.0534) loss_lansim: 0.0497 (0.0518) loss_contra: 0.0002 (0.0032) time: 2.7118 data: 0.0054 max mem: 31630 Epoch: [26] [4780/5278] eta: 0:22:30 lr: 1.830147210244793e-05 loss: 0.0499 (0.0539) loss_seg: 0.0495 (0.0534) loss_lansim: 0.0506 (0.0518) loss_contra: 0.0002 (0.0032) time: 2.7167 data: 0.0054 max mem: 31630 Epoch: [26] [4790/5278] eta: 0:22:03 lr: 1.829908877069694e-05 loss: 0.0499 (0.0539) loss_seg: 0.0495 (0.0534) loss_lansim: 0.0507 (0.0518) loss_contra: 0.0002 (0.0032) time: 2.7139 data: 0.0054 max mem: 31630 Epoch: [26] [4800/5278] eta: 0:21:36 lr: 1.829670540445515e-05 loss: 0.0491 (0.0539) loss_seg: 0.0486 (0.0533) loss_lansim: 0.0506 (0.0518) loss_contra: 0.0003 (0.0032) time: 2.7143 data: 0.0055 max mem: 31630 Epoch: [26] [4810/5278] eta: 0:21:08 lr: 1.8294322003717064e-05 loss: 0.0504 (0.0539) loss_seg: 0.0497 (0.0534) loss_lansim: 0.0499 (0.0518) loss_contra: 0.0003 (0.0032) time: 2.7159 data: 0.0056 max mem: 31630 Epoch: [26] [4820/5278] eta: 0:20:41 lr: 1.829193856847719e-05 loss: 0.0504 (0.0539) loss_seg: 0.0497 (0.0534) loss_lansim: 0.0503 (0.0518) loss_contra: 0.0003 (0.0032) time: 2.7204 data: 0.0057 max mem: 31630 Epoch: [26] [4830/5278] eta: 0:20:14 lr: 1.8289555098730034e-05 loss: 0.0499 (0.0539) loss_seg: 0.0495 (0.0534) loss_lansim: 0.0498 (0.0518) loss_contra: 0.0005 (0.0032) time: 2.7203 data: 0.0056 max mem: 31630 Epoch: [26] [4840/5278] eta: 0:19:47 lr: 1.8287171594470098e-05 loss: 0.0501 (0.0539) loss_seg: 0.0495 (0.0534) loss_lansim: 0.0489 (0.0518) loss_contra: 0.0004 (0.0032) time: 2.7172 data: 0.0057 max mem: 31630 Epoch: [26] [4850/5278] eta: 0:19:20 lr: 1.8284788055691886e-05 loss: 0.0510 (0.0540) loss_seg: 0.0503 (0.0534) loss_lansim: 0.0489 (0.0518) loss_contra: 0.0004 (0.0032) time: 2.7201 data: 0.0057 max mem: 31630 Epoch: [26] [4860/5278] eta: 0:18:53 lr: 1.82824044823899e-05 loss: 0.0496 (0.0540) loss_seg: 0.0491 (0.0534) loss_lansim: 0.0489 (0.0518) loss_contra: 0.0004 (0.0032) time: 2.7204 data: 0.0058 max mem: 31630 Epoch: [26] [4870/5278] eta: 0:18:26 lr: 1.8280020874558637e-05 loss: 0.0491 (0.0539) loss_seg: 0.0486 (0.0534) loss_lansim: 0.0491 (0.0518) loss_contra: 0.0005 (0.0032) time: 2.7219 data: 0.0059 max mem: 31630 Epoch: [26] [4880/5278] eta: 0:17:59 lr: 1.827763723219259e-05 loss: 0.0491 (0.0539) loss_seg: 0.0486 (0.0534) loss_lansim: 0.0489 (0.0518) loss_contra: 0.0004 (0.0032) time: 2.7157 data: 0.0059 max mem: 31630 Epoch: [26] [4890/5278] eta: 0:17:32 lr: 1.8275253555286254e-05 loss: 0.0487 (0.0539) loss_seg: 0.0483 (0.0534) loss_lansim: 0.0489 (0.0518) loss_contra: 0.0004 (0.0032) time: 2.7200 data: 0.0059 max mem: 31630 Epoch: [26] [4900/5278] eta: 0:17:05 lr: 1.827286984383413e-05 loss: 0.0491 (0.0539) loss_seg: 0.0486 (0.0533) loss_lansim: 0.0503 (0.0518) loss_contra: 0.0004 (0.0032) time: 2.7201 data: 0.0059 max mem: 31630 Epoch: [26] [4910/5278] eta: 0:16:37 lr: 1.8270486097830712e-05 loss: 0.0465 (0.0539) loss_seg: 0.0459 (0.0533) loss_lansim: 0.0515 (0.0518) loss_contra: 0.0004 (0.0032) time: 2.7191 data: 0.0059 max mem: 31630 Epoch: [26] [4920/5278] eta: 0:16:10 lr: 1.8268102317270476e-05 loss: 0.0465 (0.0539) loss_seg: 0.0459 (0.0533) loss_lansim: 0.0515 (0.0518) loss_contra: 0.0003 (0.0032) time: 2.7209 data: 0.0058 max mem: 31630 Epoch: [26] [4930/5278] eta: 0:15:43 lr: 1.8265718502147917e-05 loss: 0.0465 (0.0539) loss_seg: 0.0459 (0.0533) loss_lansim: 0.0517 (0.0518) loss_contra: 0.0003 (0.0032) time: 2.7179 data: 0.0059 max mem: 31630 Epoch: [26] [4940/5278] eta: 0:15:16 lr: 1.8263334652457527e-05 loss: 0.0452 (0.0539) loss_seg: 0.0447 (0.0533) loss_lansim: 0.0531 (0.0518) loss_contra: 0.0003 (0.0032) time: 2.7220 data: 0.0059 max mem: 31630 Epoch: [26] [4950/5278] eta: 0:14:49 lr: 1.8260950768193794e-05 loss: 0.0443 (0.0538) loss_seg: 0.0437 (0.0533) loss_lansim: 0.0533 (0.0518) loss_contra: 0.0003 (0.0032) time: 2.7203 data: 0.0058 max mem: 31630 Epoch: [26] [4960/5278] eta: 0:14:22 lr: 1.825856684935119e-05 loss: 0.0452 (0.0538) loss_seg: 0.0446 (0.0533) loss_lansim: 0.0532 (0.0518) loss_contra: 0.0003 (0.0032) time: 2.7194 data: 0.0057 max mem: 31630 Epoch: [26] [4970/5278] eta: 0:13:55 lr: 1.82561828959242e-05 loss: 0.0462 (0.0539) loss_seg: 0.0458 (0.0533) loss_lansim: 0.0533 (0.0518) loss_contra: 0.0003 (0.0032) time: 2.7193 data: 0.0057 max mem: 31630 Epoch: [26] [4980/5278] eta: 0:13:28 lr: 1.825379890790731e-05 loss: 0.0460 (0.0539) loss_seg: 0.0455 (0.0533) loss_lansim: 0.0527 (0.0518) loss_contra: 0.0003 (0.0032) time: 2.7199 data: 0.0057 max mem: 31630 Epoch: [26] [4990/5278] eta: 0:13:01 lr: 1.8251414885295e-05 loss: 0.0481 (0.0539) loss_seg: 0.0476 (0.0533) loss_lansim: 0.0525 (0.0518) loss_contra: 0.0003 (0.0032) time: 2.7203 data: 0.0057 max mem: 31630 Epoch: [26] [5000/5278] eta: 0:12:33 lr: 1.8249030828081733e-05 loss: 0.0488 (0.0539) loss_seg: 0.0480 (0.0533) loss_lansim: 0.0513 (0.0518) loss_contra: 0.0003 (0.0032) time: 2.7166 data: 0.0056 max mem: 31630 Epoch: [26] [5010/5278] eta: 0:12:06 lr: 1.8246646736261995e-05 loss: 0.0489 (0.0539) loss_seg: 0.0482 (0.0534) loss_lansim: 0.0508 (0.0518) loss_contra: 0.0004 (0.0032) time: 2.7212 data: 0.0056 max mem: 31630 Epoch: [26] [5020/5278] eta: 0:11:39 lr: 1.824426260983026e-05 loss: 0.0488 (0.0539) loss_seg: 0.0480 (0.0533) loss_lansim: 0.0511 (0.0518) loss_contra: 0.0004 (0.0032) time: 2.7190 data: 0.0055 max mem: 31630 Epoch: [26] [5030/5278] eta: 0:11:12 lr: 1.8241878448781002e-05 loss: 0.0483 (0.0539) loss_seg: 0.0478 (0.0533) loss_lansim: 0.0501 (0.0518) loss_contra: 0.0003 (0.0031) time: 2.7224 data: 0.0055 max mem: 31630 Epoch: [26] [5040/5278] eta: 0:10:45 lr: 1.823949425310868e-05 loss: 0.0490 (0.0539) loss_seg: 0.0485 (0.0533) loss_lansim: 0.0490 (0.0518) loss_contra: 0.0003 (0.0031) time: 2.7225 data: 0.0055 max mem: 31630 Epoch: [26] [5050/5278] eta: 0:10:18 lr: 1.8237110022807767e-05 loss: 0.0506 (0.0539) loss_seg: 0.0501 (0.0533) loss_lansim: 0.0489 (0.0518) loss_contra: 0.0004 (0.0031) time: 2.7216 data: 0.0054 max mem: 31630 Epoch: [26] [5060/5278] eta: 0:09:51 lr: 1.8234725757872733e-05 loss: 0.0506 (0.0539) loss_seg: 0.0501 (0.0534) loss_lansim: 0.0489 (0.0518) loss_contra: 0.0004 (0.0031) time: 2.7207 data: 0.0054 max mem: 31630 Epoch: [26] [5070/5278] eta: 0:09:24 lr: 1.8232341458298046e-05 loss: 0.0509 (0.0539) loss_seg: 0.0503 (0.0534) loss_lansim: 0.0482 (0.0518) loss_contra: 0.0004 (0.0031) time: 2.7173 data: 0.0054 max mem: 31630 Epoch: [26] [5080/5278] eta: 0:08:56 lr: 1.8229957124078162e-05 loss: 0.0509 (0.0539) loss_seg: 0.0503 (0.0534) loss_lansim: 0.0479 (0.0518) loss_contra: 0.0004 (0.0031) time: 2.7212 data: 0.0054 max mem: 31630 Epoch: [26] [5090/5278] eta: 0:08:29 lr: 1.8227572755207544e-05 loss: 0.0508 (0.0539) loss_seg: 0.0503 (0.0534) loss_lansim: 0.0479 (0.0518) loss_contra: 0.0003 (0.0031) time: 2.7145 data: 0.0054 max mem: 31630 Epoch: [26] [5100/5278] eta: 0:08:02 lr: 1.8225188351680653e-05 loss: 0.0508 (0.0539) loss_seg: 0.0503 (0.0534) loss_lansim: 0.0467 (0.0517) loss_contra: 0.0003 (0.0031) time: 2.7169 data: 0.0053 max mem: 31630 Epoch: [26] [5110/5278] eta: 0:07:35 lr: 1.8222803913491948e-05 loss: 0.0503 (0.0539) loss_seg: 0.0498 (0.0534) loss_lansim: 0.0458 (0.0517) loss_contra: 0.0003 (0.0031) time: 2.7119 data: 0.0053 max mem: 31630 Epoch: [26] [5120/5278] eta: 0:07:08 lr: 1.822041944063589e-05 loss: 0.0506 (0.0540) loss_seg: 0.0501 (0.0534) loss_lansim: 0.0455 (0.0517) loss_contra: 0.0003 (0.0031) time: 2.7139 data: 0.0053 max mem: 31630 Epoch: [26] [5130/5278] eta: 0:06:41 lr: 1.8218034933106925e-05 loss: 0.0508 (0.0540) loss_seg: 0.0503 (0.0534) loss_lansim: 0.0445 (0.0517) loss_contra: 0.0003 (0.0031) time: 2.7115 data: 0.0054 max mem: 31630 Epoch: [26] [5140/5278] eta: 0:06:14 lr: 1.821565039089951e-05 loss: 0.0505 (0.0539) loss_seg: 0.0501 (0.0534) loss_lansim: 0.0441 (0.0517) loss_contra: 0.0003 (0.0031) time: 2.7094 data: 0.0054 max mem: 31630 Epoch: [26] [5150/5278] eta: 0:05:47 lr: 1.82132658140081e-05 loss: 0.0501 (0.0539) loss_seg: 0.0497 (0.0534) loss_lansim: 0.0432 (0.0516) loss_contra: 0.0003 (0.0032) time: 2.7063 data: 0.0054 max mem: 31630 Epoch: [26] [5160/5278] eta: 0:05:20 lr: 1.8210881202427142e-05 loss: 0.0488 (0.0539) loss_seg: 0.0484 (0.0534) loss_lansim: 0.0417 (0.0516) loss_contra: 0.0003 (0.0032) time: 2.7092 data: 0.0054 max mem: 31630 Epoch: [26] [5170/5278] eta: 0:04:52 lr: 1.8208496556151082e-05 loss: 0.0469 (0.0539) loss_seg: 0.0464 (0.0534) loss_lansim: 0.0409 (0.0516) loss_contra: 0.0002 (0.0032) time: 2.7067 data: 0.0054 max mem: 31630 Epoch: [26] [5180/5278] eta: 0:04:25 lr: 1.8206111875174365e-05 loss: 0.0478 (0.0539) loss_seg: 0.0474 (0.0534) loss_lansim: 0.0404 (0.0516) loss_contra: 0.0003 (0.0032) time: 2.7042 data: 0.0053 max mem: 31630 Epoch: [26] [5190/5278] eta: 0:03:58 lr: 1.820372715949144e-05 loss: 0.0469 (0.0539) loss_seg: 0.0464 (0.0534) loss_lansim: 0.0403 (0.0515) loss_contra: 0.0003 (0.0032) time: 2.7095 data: 0.0054 max mem: 31630 Epoch: [26] [5200/5278] eta: 0:03:31 lr: 1.8201342409096754e-05 loss: 0.0460 (0.0539) loss_seg: 0.0457 (0.0534) loss_lansim: 0.0397 (0.0515) loss_contra: 0.0003 (0.0031) time: 2.7094 data: 0.0054 max mem: 31630 Epoch: [26] [5210/5278] eta: 0:03:04 lr: 1.819895762398474e-05 loss: 0.0460 (0.0539) loss_seg: 0.0457 (0.0534) loss_lansim: 0.0390 (0.0515) loss_contra: 0.0003 (0.0032) time: 2.7119 data: 0.0054 max mem: 31630 Epoch: [26] [5220/5278] eta: 0:02:37 lr: 1.8196572804149835e-05 loss: 0.0454 (0.0539) loss_seg: 0.0450 (0.0534) loss_lansim: 0.0386 (0.0515) loss_contra: 0.0003 (0.0032) time: 2.7081 data: 0.0054 max mem: 31630 Epoch: [26] [5230/5278] eta: 0:02:10 lr: 1.819418794958649e-05 loss: 0.0454 (0.0539) loss_seg: 0.0450 (0.0534) loss_lansim: 0.0388 (0.0514) loss_contra: 0.0003 (0.0032) time: 2.7125 data: 0.0054 max mem: 31630 Epoch: [26] [5240/5278] eta: 0:01:43 lr: 1.8191803060289134e-05 loss: 0.0463 (0.0539) loss_seg: 0.0459 (0.0534) loss_lansim: 0.0386 (0.0514) loss_contra: 0.0003 (0.0032) time: 2.7100 data: 0.0055 max mem: 31630 Epoch: [26] [5250/5278] eta: 0:01:15 lr: 1.8189418136252197e-05 loss: 0.0463 (0.0539) loss_seg: 0.0459 (0.0534) loss_lansim: 0.0382 (0.0514) loss_contra: 0.0003 (0.0032) time: 2.7153 data: 0.0055 max mem: 31630 Epoch: [26] [5260/5278] eta: 0:00:48 lr: 1.8187033177470117e-05 loss: 0.0461 (0.0539) loss_seg: 0.0454 (0.0534) loss_lansim: 0.0380 (0.0514) loss_contra: 0.0003 (0.0032) time: 2.7118 data: 0.0056 max mem: 31630 Epoch: [26] [5270/5278] eta: 0:00:21 lr: 1.818464818393732e-05 loss: 0.0483 (0.0539) loss_seg: 0.0478 (0.0534) loss_lansim: 0.0378 (0.0513) loss_contra: 0.0003 (0.0032) time: 2.7191 data: 0.0056 max mem: 31630 Epoch: [26] Total time: 3:58:34 Test: [ 0/2573] eta: 1:02:33 time: 1.4587 data: 1.2768 max mem: 31630 Test: [ 100/2573] eta: 0:06:11 time: 0.1373 data: 0.0014 max mem: 31630 Test: [ 200/2573] eta: 0:05:48 time: 0.1437 data: 0.0014 max mem: 31630 Test: [ 300/2573] eta: 0:05:27 time: 0.1381 data: 0.0014 max mem: 31630 Test: [ 400/2573] eta: 0:05:11 time: 0.1404 data: 0.0014 max mem: 31630 Test: [ 500/2573] eta: 0:04:55 time: 0.1412 data: 0.0014 max mem: 31630 Test: [ 600/2573] eta: 0:04:41 time: 0.1425 data: 0.0015 max mem: 31630 Test: [ 700/2573] eta: 0:04:28 time: 0.1461 data: 0.0015 max mem: 31630 Test: [ 800/2573] eta: 0:04:13 time: 0.1432 data: 0.0014 max mem: 31630 Test: [ 900/2573] eta: 0:03:59 time: 0.1433 data: 0.0014 max mem: 31630 Test: [1000/2573] eta: 0:03:45 time: 0.1419 data: 0.0014 max mem: 31630 Test: [1100/2573] eta: 0:03:30 time: 0.1412 data: 0.0014 max mem: 31630 Test: [1200/2573] eta: 0:03:16 time: 0.1434 data: 0.0014 max mem: 31630 Test: [1300/2573] eta: 0:03:01 time: 0.1420 data: 0.0014 max mem: 31630 Test: [1400/2573] eta: 0:02:47 time: 0.1382 data: 0.0014 max mem: 31630 Test: [1500/2573] eta: 0:02:32 time: 0.1426 data: 0.0014 max mem: 31630 Test: [1600/2573] eta: 0:02:18 time: 0.1419 data: 0.0014 max mem: 31630 Test: [1700/2573] eta: 0:02:04 time: 0.1426 data: 0.0014 max mem: 31630 Test: [1800/2573] eta: 0:01:50 time: 0.1397 data: 0.0014 max mem: 31630 Test: [1900/2573] eta: 0:01:35 time: 0.1383 data: 0.0014 max mem: 31630 Test: [2000/2573] eta: 0:01:21 time: 0.1387 data: 0.0014 max mem: 31630 Test: [2100/2573] eta: 0:01:07 time: 0.1431 data: 0.0014 max mem: 31630 Test: [2200/2573] eta: 0:00:52 time: 0.1380 data: 0.0014 max mem: 31630 Test: [2300/2573] eta: 0:00:38 time: 0.1430 data: 0.0014 max mem: 31630 Test: [2400/2573] eta: 0:00:24 time: 0.1408 data: 0.0014 max mem: 31630 Test: [2500/2573] eta: 0:00:10 time: 0.1430 data: 0.0014 max mem: 31630 Test: Total time: 0:06:05 Final results: precision@0.5 = 70.32 precision@0.6 = 65.48 precision@0.7 = 58.91 precision@0.8 = 46.96 precision@0.9 = 23.04 overall IoU = 59.21 mean IoU = 62.09 Better epoch: 26 The best_performance is 59.21267409773097 Epoch: [27] [ 0/5278] eta: 6:05:26 lr: 1.8182740164086834e-05 loss: 0.0490 (0.0490) loss_seg: 0.0486 (0.0486) loss_lansim: 0.0312 (0.0312) loss_contra: 0.0012 (0.0012) time: 4.1543 data: 1.3526 max mem: 31630 Epoch: [27] [ 10/5278] eta: 4:11:58 lr: 1.8180355107988718e-05 loss: 0.0402 (0.0411) loss_seg: 0.0400 (0.0407) loss_lansim: 0.0356 (0.0354) loss_contra: 0.0005 (0.0014) time: 2.8698 data: 0.1274 max mem: 31630 Epoch: [27] [ 20/5278] eta: 4:05:58 lr: 1.8177970017124295e-05 loss: 0.0393 (0.0427) loss_seg: 0.0390 (0.0423) loss_lansim: 0.0356 (0.0366) loss_contra: 0.0003 (0.0011) time: 2.8068 data: 0.0690 max mem: 31630 Epoch: [27] [ 30/5278] eta: 4:02:48 lr: 1.8175584891487976e-05 loss: 0.0393 (0.0456) loss_seg: 0.0390 (0.0452) loss_lansim: 0.0369 (0.0371) loss_contra: 0.0002 (0.0012) time: 2.7760 data: 0.0486 max mem: 31630 Epoch: [27] [ 40/5278] eta: 4:02:01 lr: 1.817319973107419e-05 loss: 0.0415 (0.0471) loss_seg: 0.0411 (0.0467) loss_lansim: 0.0372 (0.0376) loss_contra: 0.0003 (0.0042) time: 2.7724 data: 0.0382 max mem: 31630 Epoch: [27] [ 50/5278] eta: 3:59:47 lr: 1.8170814535877356e-05 loss: 0.0445 (0.0483) loss_seg: 0.0441 (0.0479) loss_lansim: 0.0379 (0.0382) loss_contra: 0.0003 (0.0057) time: 2.7521 data: 0.0318 max mem: 31630 Epoch: [27] [ 60/5278] eta: 3:59:15 lr: 1.81684293058919e-05 loss: 0.0461 (0.0493) loss_seg: 0.0457 (0.0489) loss_lansim: 0.0373 (0.0379) loss_contra: 0.0003 (0.0051) time: 2.7511 data: 0.0275 max mem: 31630 Epoch: [27] [ 70/5278] eta: 3:58:03 lr: 1.8166044041112234e-05 loss: 0.0461 (0.0495) loss_seg: 0.0457 (0.0491) loss_lansim: 0.0372 (0.0378) loss_contra: 0.0003 (0.0044) time: 2.7426 data: 0.0245 max mem: 31630 Epoch: [27] [ 80/5278] eta: 3:57:39 lr: 1.816365874153277e-05 loss: 0.0476 (0.0496) loss_seg: 0.0473 (0.0491) loss_lansim: 0.0382 (0.0383) loss_contra: 0.0003 (0.0042) time: 2.7432 data: 0.0222 max mem: 31630 Epoch: [27] [ 90/5278] eta: 3:56:38 lr: 1.8161273407147932e-05 loss: 0.0468 (0.0490) loss_seg: 0.0462 (0.0486) loss_lansim: 0.0387 (0.0386) loss_contra: 0.0003 (0.0039) time: 2.7367 data: 0.0204 max mem: 31630 Epoch: [27] [ 100/5278] eta: 3:56:03 lr: 1.8158888037952135e-05 loss: 0.0460 (0.0489) loss_seg: 0.0456 (0.0484) loss_lansim: 0.0388 (0.0388) loss_contra: 0.0003 (0.0037) time: 2.7212 data: 0.0056 max mem: 31630 Epoch: [27] [ 110/5278] eta: 3:55:32 lr: 1.8156502633939773e-05 loss: 0.0476 (0.0501) loss_seg: 0.0473 (0.0497) loss_lansim: 0.0393 (0.0391) loss_contra: 0.0004 (0.0036) time: 2.7198 data: 0.0056 max mem: 31630 Epoch: [27] [ 120/5278] eta: 3:54:51 lr: 1.815411719510527e-05 loss: 0.0479 (0.0500) loss_seg: 0.0475 (0.0496) loss_lansim: 0.0394 (0.0394) loss_contra: 0.0004 (0.0038) time: 2.7161 data: 0.0057 max mem: 31630 Epoch: [27] [ 130/5278] eta: 3:54:20 lr: 1.8151731721443026e-05 loss: 0.0476 (0.0494) loss_seg: 0.0473 (0.0489) loss_lansim: 0.0399 (0.0395) loss_contra: 0.0006 (0.0036) time: 2.7173 data: 0.0057 max mem: 31630 Epoch: [27] [ 140/5278] eta: 3:53:42 lr: 1.8149346212947452e-05 loss: 0.0479 (0.0501) loss_seg: 0.0475 (0.0497) loss_lansim: 0.0396 (0.0395) loss_contra: 0.0004 (0.0033) time: 2.7115 data: 0.0056 max mem: 31630 Epoch: [27] [ 150/5278] eta: 3:53:26 lr: 1.8146960669612953e-05 loss: 0.0476 (0.0500) loss_seg: 0.0471 (0.0496) loss_lansim: 0.0395 (0.0396) loss_contra: 0.0004 (0.0031) time: 2.7208 data: 0.0056 max mem: 31630 Epoch: [27] [ 160/5278] eta: 3:52:53 lr: 1.8144575091433924e-05 loss: 0.0468 (0.0505) loss_seg: 0.0462 (0.0500) loss_lansim: 0.0399 (0.0398) loss_contra: 0.0003 (0.0030) time: 2.7175 data: 0.0055 max mem: 31630 Epoch: [27] [ 170/5278] eta: 3:52:17 lr: 1.8142189478404768e-05 loss: 0.0475 (0.0506) loss_seg: 0.0471 (0.0502) loss_lansim: 0.0401 (0.0397) loss_contra: 0.0004 (0.0029) time: 2.7186 data: 0.0054 max mem: 31630 Epoch: [27] [ 180/5278] eta: 3:51:46 lr: 1.8139803830519888e-05 loss: 0.0476 (0.0514) loss_seg: 0.0471 (0.0510) loss_lansim: 0.0399 (0.0398) loss_contra: 0.0004 (0.0028) time: 2.7155 data: 0.0053 max mem: 31630 Epoch: [27] [ 190/5278] eta: 3:51:13 lr: 1.8137418147773686e-05 loss: 0.0476 (0.0514) loss_seg: 0.0471 (0.0510) loss_lansim: 0.0397 (0.0399) loss_contra: 0.0004 (0.0027) time: 2.7175 data: 0.0053 max mem: 31630 Epoch: [27] [ 200/5278] eta: 3:50:52 lr: 1.813503243016054e-05 loss: 0.0484 (0.0526) loss_seg: 0.0479 (0.0522) loss_lansim: 0.0396 (0.0398) loss_contra: 0.0003 (0.0026) time: 2.7204 data: 0.0052 max mem: 31630 Epoch: [27] [ 210/5278] eta: 3:50:13 lr: 1.8132646677674858e-05 loss: 0.0476 (0.0525) loss_seg: 0.0471 (0.0521) loss_lansim: 0.0393 (0.0398) loss_contra: 0.0003 (0.0025) time: 2.7157 data: 0.0052 max mem: 31630 Epoch: [27] [ 220/5278] eta: 3:49:50 lr: 1.813026089031103e-05 loss: 0.0475 (0.0522) loss_seg: 0.0471 (0.0518) loss_lansim: 0.0395 (0.0399) loss_contra: 0.0003 (0.0024) time: 2.7199 data: 0.0052 max mem: 31630 Epoch: [27] [ 230/5278] eta: 3:49:16 lr: 1.8127875068063446e-05 loss: 0.0474 (0.0518) loss_seg: 0.0471 (0.0514) loss_lansim: 0.0393 (0.0396) loss_contra: 0.0002 (0.0024) time: 2.7170 data: 0.0052 max mem: 31630 Epoch: [27] [ 240/5278] eta: 3:48:46 lr: 1.8125489210926492e-05 loss: 0.0470 (0.0520) loss_seg: 0.0466 (0.0516) loss_lansim: 0.0394 (0.0397) loss_contra: 0.0003 (0.0023) time: 2.7182 data: 0.0052 max mem: 31630 Epoch: [27] [ 250/5278] eta: 3:48:19 lr: 1.8123103318894553e-05 loss: 0.0453 (0.0521) loss_seg: 0.0449 (0.0517) loss_lansim: 0.0397 (0.0398) loss_contra: 0.0003 (0.0024) time: 2.7146 data: 0.0052 max mem: 31630 Epoch: [27] [ 260/5278] eta: 3:47:46 lr: 1.812071739196202e-05 loss: 0.0470 (0.0521) loss_seg: 0.0466 (0.0517) loss_lansim: 0.0395 (0.0399) loss_contra: 0.0003 (0.0023) time: 2.7127 data: 0.0052 max mem: 31630 Epoch: [27] [ 270/5278] eta: 3:47:21 lr: 1.8118331430123277e-05 loss: 0.0470 (0.0523) loss_seg: 0.0466 (0.0519) loss_lansim: 0.0397 (0.0400) loss_contra: 0.0003 (0.0023) time: 2.7160 data: 0.0052 max mem: 31630 Epoch: [27] [ 280/5278] eta: 3:46:46 lr: 1.81159454333727e-05 loss: 0.0463 (0.0522) loss_seg: 0.0458 (0.0517) loss_lansim: 0.0404 (0.0402) loss_contra: 0.0002 (0.0022) time: 2.7122 data: 0.0053 max mem: 31630 Epoch: [27] [ 290/5278] eta: 3:46:18 lr: 1.8113559401704667e-05 loss: 0.0462 (0.0519) loss_seg: 0.0458 (0.0514) loss_lansim: 0.0408 (0.0403) loss_contra: 0.0002 (0.0022) time: 2.7136 data: 0.0053 max mem: 31630 Epoch: [27] [ 300/5278] eta: 3:45:45 lr: 1.811117333511356e-05 loss: 0.0449 (0.0516) loss_seg: 0.0445 (0.0512) loss_lansim: 0.0412 (0.0404) loss_contra: 0.0002 (0.0021) time: 2.7073 data: 0.0054 max mem: 31630 Epoch: [27] [ 310/5278] eta: 3:45:19 lr: 1.8108787233593767e-05 loss: 0.0453 (0.0516) loss_seg: 0.0449 (0.0512) loss_lansim: 0.0408 (0.0403) loss_contra: 0.0002 (0.0021) time: 2.7119 data: 0.0054 max mem: 31630 Epoch: [27] [ 320/5278] eta: 3:44:46 lr: 1.8106401097139642e-05 loss: 0.0462 (0.0518) loss_seg: 0.0458 (0.0514) loss_lansim: 0.0415 (0.0404) loss_contra: 0.0001 (0.0020) time: 2.7062 data: 0.0055 max mem: 31630 Epoch: [27] [ 330/5278] eta: 3:44:18 lr: 1.8104014925745567e-05 loss: 0.0466 (0.0519) loss_seg: 0.0462 (0.0515) loss_lansim: 0.0420 (0.0404) loss_contra: 0.0001 (0.0020) time: 2.7082 data: 0.0055 max mem: 31630 Epoch: [27] [ 340/5278] eta: 3:43:52 lr: 1.810162871940592e-05 loss: 0.0462 (0.0516) loss_seg: 0.0458 (0.0512) loss_lansim: 0.0423 (0.0404) loss_contra: 0.0002 (0.0019) time: 2.7094 data: 0.0055 max mem: 31630 Epoch: [27] [ 350/5278] eta: 3:43:20 lr: 1.8099242478115068e-05 loss: 0.0462 (0.0516) loss_seg: 0.0458 (0.0512) loss_lansim: 0.0423 (0.0404) loss_contra: 0.0001 (0.0022) time: 2.7060 data: 0.0055 max mem: 31630 Epoch: [27] [ 360/5278] eta: 3:42:52 lr: 1.809685620186737e-05 loss: 0.0449 (0.0518) loss_seg: 0.0445 (0.0514) loss_lansim: 0.0423 (0.0405) loss_contra: 0.0002 (0.0022) time: 2.7077 data: 0.0055 max mem: 31630 Epoch: [27] [ 370/5278] eta: 3:42:24 lr: 1.8094469890657197e-05 loss: 0.0447 (0.0517) loss_seg: 0.0443 (0.0513) loss_lansim: 0.0416 (0.0404) loss_contra: 0.0002 (0.0021) time: 2.7057 data: 0.0055 max mem: 31630 Epoch: [27] [ 380/5278] eta: 3:41:57 lr: 1.8092083544478917e-05 loss: 0.0452 (0.0520) loss_seg: 0.0448 (0.0516) loss_lansim: 0.0405 (0.0404) loss_contra: 0.0002 (0.0022) time: 2.7098 data: 0.0055 max mem: 31630 Epoch: [27] [ 390/5278] eta: 3:41:27 lr: 1.8089697163326888e-05 loss: 0.0462 (0.0527) loss_seg: 0.0459 (0.0522) loss_lansim: 0.0400 (0.0404) loss_contra: 0.0001 (0.0021) time: 2.7078 data: 0.0055 max mem: 31630 Epoch: [27] [ 400/5278] eta: 3:40:56 lr: 1.808731074719548e-05 loss: 0.0479 (0.0528) loss_seg: 0.0475 (0.0524) loss_lansim: 0.0401 (0.0404) loss_contra: 0.0001 (0.0021) time: 2.7075 data: 0.0055 max mem: 31630 Epoch: [27] [ 410/5278] eta: 3:40:31 lr: 1.8084924296079038e-05 loss: 0.0483 (0.0528) loss_seg: 0.0479 (0.0523) loss_lansim: 0.0400 (0.0404) loss_contra: 0.0001 (0.0021) time: 2.7085 data: 0.0055 max mem: 31630 Epoch: [27] [ 420/5278] eta: 3:39:59 lr: 1.8082537809971928e-05 loss: 0.0495 (0.0529) loss_seg: 0.0491 (0.0525) loss_lansim: 0.0395 (0.0404) loss_contra: 0.0001 (0.0020) time: 2.7074 data: 0.0055 max mem: 31630 Epoch: [27] [ 430/5278] eta: 3:39:33 lr: 1.80801512888685e-05 loss: 0.0495 (0.0530) loss_seg: 0.0491 (0.0526) loss_lansim: 0.0388 (0.0403) loss_contra: 0.0001 (0.0020) time: 2.7087 data: 0.0055 max mem: 31630 Epoch: [27] [ 440/5278] eta: 3:39:02 lr: 1.8077764732763124e-05 loss: 0.0499 (0.0529) loss_seg: 0.0495 (0.0525) loss_lansim: 0.0387 (0.0403) loss_contra: 0.0001 (0.0020) time: 2.7037 data: 0.0055 max mem: 31630 Epoch: [27] [ 450/5278] eta: 3:38:35 lr: 1.8075378141650136e-05 loss: 0.0499 (0.0528) loss_seg: 0.0495 (0.0524) loss_lansim: 0.0387 (0.0403) loss_contra: 0.0003 (0.0020) time: 2.7065 data: 0.0056 max mem: 31630 Epoch: [27] [ 460/5278] eta: 3:38:01 lr: 1.8072991515523886e-05 loss: 0.0497 (0.0527) loss_seg: 0.0494 (0.0523) loss_lansim: 0.0384 (0.0403) loss_contra: 0.0002 (0.0020) time: 2.7010 data: 0.0057 max mem: 31630 Epoch: [27] [ 470/5278] eta: 3:37:36 lr: 1.807060485437873e-05 loss: 0.0494 (0.0525) loss_seg: 0.0489 (0.0521) loss_lansim: 0.0384 (0.0402) loss_contra: 0.0002 (0.0020) time: 2.7026 data: 0.0058 max mem: 31630 Epoch: [27] [ 480/5278] eta: 3:37:07 lr: 1.8068218158209017e-05 loss: 0.0495 (0.0525) loss_seg: 0.0491 (0.0521) loss_lansim: 0.0383 (0.0403) loss_contra: 0.0002 (0.0020) time: 2.7007 data: 0.0060 max mem: 31630 Epoch: [27] [ 490/5278] eta: 3:36:41 lr: 1.8065831427009082e-05 loss: 0.0495 (0.0524) loss_seg: 0.0491 (0.0520) loss_lansim: 0.0384 (0.0403) loss_contra: 0.0003 (0.0020) time: 2.7031 data: 0.0060 max mem: 31630 Epoch: [27] [ 500/5278] eta: 3:36:10 lr: 1.806344466077328e-05 loss: 0.0494 (0.0524) loss_seg: 0.0489 (0.0520) loss_lansim: 0.0384 (0.0403) loss_contra: 0.0003 (0.0020) time: 2.7021 data: 0.0060 max mem: 31630 Epoch: [27] [ 510/5278] eta: 3:35:42 lr: 1.8061057859495944e-05 loss: 0.0494 (0.0524) loss_seg: 0.0489 (0.0520) loss_lansim: 0.0387 (0.0404) loss_contra: 0.0003 (0.0021) time: 2.6996 data: 0.0061 max mem: 31630 Epoch: [27] [ 520/5278] eta: 3:35:13 lr: 1.805867102317142e-05 loss: 0.0468 (0.0524) loss_seg: 0.0463 (0.0519) loss_lansim: 0.0391 (0.0404) loss_contra: 0.0003 (0.0021) time: 2.7009 data: 0.0061 max mem: 31630 Epoch: [27] [ 530/5278] eta: 3:34:45 lr: 1.8056284151794045e-05 loss: 0.0465 (0.0523) loss_seg: 0.0462 (0.0519) loss_lansim: 0.0395 (0.0404) loss_contra: 0.0003 (0.0021) time: 2.6992 data: 0.0061 max mem: 31630 Epoch: [27] [ 540/5278] eta: 3:34:19 lr: 1.8053897245358152e-05 loss: 0.0468 (0.0522) loss_seg: 0.0463 (0.0518) loss_lansim: 0.0402 (0.0404) loss_contra: 0.0003 (0.0020) time: 2.7035 data: 0.0061 max mem: 31630 Epoch: [27] [ 550/5278] eta: 3:33:53 lr: 1.8051510303858076e-05 loss: 0.0468 (0.0523) loss_seg: 0.0463 (0.0518) loss_lansim: 0.0405 (0.0405) loss_contra: 0.0003 (0.0020) time: 2.7046 data: 0.0060 max mem: 31630 Epoch: [27] [ 560/5278] eta: 3:33:27 lr: 1.804912332728816e-05 loss: 0.0465 (0.0522) loss_seg: 0.0462 (0.0517) loss_lansim: 0.0409 (0.0405) loss_contra: 0.0003 (0.0020) time: 2.7116 data: 0.0059 max mem: 31630 Epoch: [27] [ 570/5278] eta: 3:33:00 lr: 1.804673631564272e-05 loss: 0.0465 (0.0520) loss_seg: 0.0462 (0.0516) loss_lansim: 0.0415 (0.0406) loss_contra: 0.0003 (0.0020) time: 2.7102 data: 0.0058 max mem: 31630 Epoch: [27] [ 580/5278] eta: 3:32:32 lr: 1.8044349268916095e-05 loss: 0.0468 (0.0521) loss_seg: 0.0462 (0.0516) loss_lansim: 0.0419 (0.0407) loss_contra: 0.0003 (0.0020) time: 2.7105 data: 0.0056 max mem: 31630 Epoch: [27] [ 590/5278] eta: 3:32:06 lr: 1.804196218710261e-05 loss: 0.0468 (0.0521) loss_seg: 0.0462 (0.0517) loss_lansim: 0.0419 (0.0407) loss_contra: 0.0003 (0.0020) time: 2.7111 data: 0.0056 max mem: 31630 Epoch: [27] [ 600/5278] eta: 3:31:35 lr: 1.80395750701966e-05 loss: 0.0468 (0.0521) loss_seg: 0.0462 (0.0517) loss_lansim: 0.0422 (0.0408) loss_contra: 0.0003 (0.0020) time: 2.7101 data: 0.0055 max mem: 31630 Epoch: [27] [ 610/5278] eta: 3:31:11 lr: 1.8037187918192373e-05 loss: 0.0465 (0.0519) loss_seg: 0.0462 (0.0515) loss_lansim: 0.0427 (0.0409) loss_contra: 0.0003 (0.0020) time: 2.7144 data: 0.0054 max mem: 31630 Epoch: [27] [ 620/5278] eta: 3:30:44 lr: 1.803480073108426e-05 loss: 0.0463 (0.0518) loss_seg: 0.0458 (0.0514) loss_lansim: 0.0427 (0.0409) loss_contra: 0.0003 (0.0020) time: 2.7174 data: 0.0053 max mem: 31630 Epoch: [27] [ 630/5278] eta: 3:30:19 lr: 1.8032413508866582e-05 loss: 0.0464 (0.0521) loss_seg: 0.0459 (0.0516) loss_lansim: 0.0432 (0.0410) loss_contra: 0.0003 (0.0020) time: 2.7203 data: 0.0054 max mem: 31630 Epoch: [27] [ 640/5278] eta: 3:29:51 lr: 1.8030026251533657e-05 loss: 0.0462 (0.0520) loss_seg: 0.0457 (0.0515) loss_lansim: 0.0435 (0.0410) loss_contra: 0.0003 (0.0020) time: 2.7197 data: 0.0054 max mem: 31630 Epoch: [27] [ 650/5278] eta: 3:29:24 lr: 1.8027638959079808e-05 loss: 0.0452 (0.0518) loss_seg: 0.0448 (0.0514) loss_lansim: 0.0443 (0.0411) loss_contra: 0.0002 (0.0019) time: 2.7182 data: 0.0053 max mem: 31630 Epoch: [27] [ 660/5278] eta: 3:28:56 lr: 1.8025251631499347e-05 loss: 0.0462 (0.0518) loss_seg: 0.0456 (0.0513) loss_lansim: 0.0443 (0.0411) loss_contra: 0.0002 (0.0019) time: 2.7154 data: 0.0054 max mem: 31630 Epoch: [27] [ 670/5278] eta: 3:28:31 lr: 1.8022864268786578e-05 loss: 0.0464 (0.0517) loss_seg: 0.0459 (0.0513) loss_lansim: 0.0441 (0.0412) loss_contra: 0.0002 (0.0019) time: 2.7176 data: 0.0053 max mem: 31630 Epoch: [27] [ 680/5278] eta: 3:28:04 lr: 1.8020476870935826e-05 loss: 0.0455 (0.0516) loss_seg: 0.0452 (0.0511) loss_lansim: 0.0432 (0.0411) loss_contra: 0.0002 (0.0019) time: 2.7204 data: 0.0054 max mem: 31630 Epoch: [27] [ 690/5278] eta: 3:27:36 lr: 1.80180894379414e-05 loss: 0.0455 (0.0515) loss_seg: 0.0452 (0.0511) loss_lansim: 0.0428 (0.0411) loss_contra: 0.0002 (0.0019) time: 2.7178 data: 0.0054 max mem: 31630 Epoch: [27] [ 700/5278] eta: 3:27:10 lr: 1.8015701969797603e-05 loss: 0.0424 (0.0513) loss_seg: 0.0419 (0.0509) loss_lansim: 0.0432 (0.0411) loss_contra: 0.0002 (0.0019) time: 2.7245 data: 0.0054 max mem: 31630 Epoch: [27] [ 710/5278] eta: 3:26:43 lr: 1.801331446649874e-05 loss: 0.0424 (0.0513) loss_seg: 0.0419 (0.0509) loss_lansim: 0.0423 (0.0412) loss_contra: 0.0002 (0.0019) time: 2.7207 data: 0.0054 max mem: 31630 Epoch: [27] [ 720/5278] eta: 3:26:18 lr: 1.801092692803912e-05 loss: 0.0449 (0.0514) loss_seg: 0.0445 (0.0509) loss_lansim: 0.0423 (0.0411) loss_contra: 0.0002 (0.0019) time: 2.7236 data: 0.0054 max mem: 31630 Epoch: [27] [ 730/5278] eta: 3:25:48 lr: 1.8008539354413055e-05 loss: 0.0429 (0.0513) loss_seg: 0.0424 (0.0509) loss_lansim: 0.0411 (0.0412) loss_contra: 0.0002 (0.0019) time: 2.7166 data: 0.0054 max mem: 31630 Epoch: [27] [ 740/5278] eta: 3:25:22 lr: 1.800615174561483e-05 loss: 0.0429 (0.0513) loss_seg: 0.0424 (0.0508) loss_lansim: 0.0421 (0.0412) loss_contra: 0.0002 (0.0018) time: 2.7181 data: 0.0054 max mem: 31630 Epoch: [27] [ 750/5278] eta: 3:24:53 lr: 1.800376410163875e-05 loss: 0.0439 (0.0512) loss_seg: 0.0436 (0.0508) loss_lansim: 0.0409 (0.0412) loss_contra: 0.0002 (0.0019) time: 2.7151 data: 0.0054 max mem: 31630 Epoch: [27] [ 760/5278] eta: 3:24:25 lr: 1.800137642247912e-05 loss: 0.0438 (0.0511) loss_seg: 0.0434 (0.0507) loss_lansim: 0.0411 (0.0412) loss_contra: 0.0002 (0.0019) time: 2.7154 data: 0.0054 max mem: 31630 Epoch: [27] [ 770/5278] eta: 3:23:57 lr: 1.7998988708130232e-05 loss: 0.0441 (0.0511) loss_seg: 0.0437 (0.0507) loss_lansim: 0.0421 (0.0413) loss_contra: 0.0002 (0.0019) time: 2.7109 data: 0.0054 max mem: 31630 Epoch: [27] [ 780/5278] eta: 3:23:30 lr: 1.799660095858638e-05 loss: 0.0441 (0.0511) loss_seg: 0.0437 (0.0506) loss_lansim: 0.0425 (0.0413) loss_contra: 0.0002 (0.0019) time: 2.7111 data: 0.0054 max mem: 31630 Epoch: [27] [ 790/5278] eta: 3:23:01 lr: 1.799421317384185e-05 loss: 0.0445 (0.0510) loss_seg: 0.0440 (0.0506) loss_lansim: 0.0426 (0.0414) loss_contra: 0.0002 (0.0019) time: 2.7087 data: 0.0054 max mem: 31630 Epoch: [27] [ 800/5278] eta: 3:22:34 lr: 1.7991825353890946e-05 loss: 0.0458 (0.0510) loss_seg: 0.0454 (0.0506) loss_lansim: 0.0426 (0.0414) loss_contra: 0.0002 (0.0019) time: 2.7062 data: 0.0054 max mem: 31630 Epoch: [27] [ 810/5278] eta: 3:22:06 lr: 1.798943749872795e-05 loss: 0.0460 (0.0511) loss_seg: 0.0455 (0.0506) loss_lansim: 0.0431 (0.0414) loss_contra: 0.0002 (0.0019) time: 2.7052 data: 0.0054 max mem: 31630 Epoch: [27] [ 820/5278] eta: 3:21:40 lr: 1.7987049608347147e-05 loss: 0.0452 (0.0509) loss_seg: 0.0447 (0.0505) loss_lansim: 0.0435 (0.0414) loss_contra: 0.0001 (0.0018) time: 2.7029 data: 0.0054 max mem: 31630 Epoch: [27] [ 830/5278] eta: 3:21:12 lr: 1.7984661682742827e-05 loss: 0.0445 (0.0509) loss_seg: 0.0441 (0.0504) loss_lansim: 0.0440 (0.0415) loss_contra: 0.0002 (0.0019) time: 2.7073 data: 0.0054 max mem: 31630 Epoch: [27] [ 840/5278] eta: 3:20:46 lr: 1.798227372190927e-05 loss: 0.0455 (0.0508) loss_seg: 0.0451 (0.0504) loss_lansim: 0.0440 (0.0415) loss_contra: 0.0001 (0.0019) time: 2.7065 data: 0.0055 max mem: 31630 Epoch: [27] [ 850/5278] eta: 3:20:17 lr: 1.7979885725840763e-05 loss: 0.0452 (0.0508) loss_seg: 0.0447 (0.0503) loss_lansim: 0.0440 (0.0415) loss_contra: 0.0002 (0.0020) time: 2.7065 data: 0.0054 max mem: 31630 Epoch: [27] [ 860/5278] eta: 3:19:50 lr: 1.7977497694531584e-05 loss: 0.0445 (0.0507) loss_seg: 0.0441 (0.0502) loss_lansim: 0.0441 (0.0416) loss_contra: 0.0002 (0.0020) time: 2.7076 data: 0.0054 max mem: 31630 Epoch: [27] [ 870/5278] eta: 3:19:23 lr: 1.7975109627976005e-05 loss: 0.0434 (0.0506) loss_seg: 0.0430 (0.0502) loss_lansim: 0.0434 (0.0415) loss_contra: 0.0002 (0.0020) time: 2.7097 data: 0.0054 max mem: 31630 Epoch: [27] [ 880/5278] eta: 3:18:54 lr: 1.797272152616831e-05 loss: 0.0445 (0.0507) loss_seg: 0.0441 (0.0502) loss_lansim: 0.0434 (0.0416) loss_contra: 0.0002 (0.0020) time: 2.7055 data: 0.0054 max mem: 31630 Epoch: [27] [ 890/5278] eta: 3:18:28 lr: 1.7970333389102775e-05 loss: 0.0432 (0.0506) loss_seg: 0.0427 (0.0501) loss_lansim: 0.0431 (0.0415) loss_contra: 0.0003 (0.0020) time: 2.7111 data: 0.0054 max mem: 31630 Epoch: [27] [ 900/5278] eta: 3:17:59 lr: 1.7967945216773676e-05 loss: 0.0414 (0.0505) loss_seg: 0.0408 (0.0501) loss_lansim: 0.0430 (0.0415) loss_contra: 0.0002 (0.0020) time: 2.7077 data: 0.0054 max mem: 31630 Epoch: [27] [ 910/5278] eta: 3:17:33 lr: 1.7965557009175273e-05 loss: 0.0406 (0.0504) loss_seg: 0.0402 (0.0500) loss_lansim: 0.0428 (0.0415) loss_contra: 0.0002 (0.0020) time: 2.7096 data: 0.0054 max mem: 31630 Epoch: [27] [ 920/5278] eta: 3:17:03 lr: 1.796316876630184e-05 loss: 0.0414 (0.0504) loss_seg: 0.0408 (0.0500) loss_lansim: 0.0423 (0.0415) loss_contra: 0.0002 (0.0020) time: 2.7039 data: 0.0054 max mem: 31630 Epoch: [27] [ 930/5278] eta: 3:16:35 lr: 1.796078048814765e-05 loss: 0.0421 (0.0504) loss_seg: 0.0416 (0.0500) loss_lansim: 0.0414 (0.0415) loss_contra: 0.0002 (0.0020) time: 2.7022 data: 0.0053 max mem: 31630 Epoch: [27] [ 940/5278] eta: 3:16:07 lr: 1.7958392174706968e-05 loss: 0.0407 (0.0503) loss_seg: 0.0403 (0.0499) loss_lansim: 0.0413 (0.0415) loss_contra: 0.0002 (0.0020) time: 2.6978 data: 0.0053 max mem: 31630 Epoch: [27] [ 950/5278] eta: 3:15:41 lr: 1.795600382597405e-05 loss: 0.0407 (0.0503) loss_seg: 0.0404 (0.0498) loss_lansim: 0.0413 (0.0416) loss_contra: 0.0002 (0.0020) time: 2.7029 data: 0.0053 max mem: 31630 Epoch: [27] [ 960/5278] eta: 3:15:12 lr: 1.7953615441943165e-05 loss: 0.0441 (0.0503) loss_seg: 0.0437 (0.0499) loss_lansim: 0.0418 (0.0416) loss_contra: 0.0001 (0.0019) time: 2.6994 data: 0.0052 max mem: 31630 Epoch: [27] [ 970/5278] eta: 3:14:45 lr: 1.7951227022608576e-05 loss: 0.0436 (0.0502) loss_seg: 0.0432 (0.0498) loss_lansim: 0.0425 (0.0417) loss_contra: 0.0001 (0.0019) time: 2.6997 data: 0.0052 max mem: 31630 Epoch: [27] [ 980/5278] eta: 3:14:18 lr: 1.7948838567964537e-05 loss: 0.0433 (0.0501) loss_seg: 0.0428 (0.0497) loss_lansim: 0.0427 (0.0417) loss_contra: 0.0001 (0.0019) time: 2.7024 data: 0.0052 max mem: 31630 Epoch: [27] [ 990/5278] eta: 3:13:50 lr: 1.794645007800531e-05 loss: 0.0436 (0.0503) loss_seg: 0.0432 (0.0498) loss_lansim: 0.0430 (0.0417) loss_contra: 0.0001 (0.0019) time: 2.6993 data: 0.0052 max mem: 31630 Epoch: [27] [1000/5278] eta: 3:13:24 lr: 1.7944061552725143e-05 loss: 0.0453 (0.0504) loss_seg: 0.0448 (0.0500) loss_lansim: 0.0432 (0.0417) loss_contra: 0.0001 (0.0020) time: 2.7053 data: 0.0052 max mem: 31630 Epoch: [27] [1010/5278] eta: 3:12:56 lr: 1.794167299211829e-05 loss: 0.0466 (0.0507) loss_seg: 0.0461 (0.0502) loss_lansim: 0.0438 (0.0418) loss_contra: 0.0001 (0.0019) time: 2.7006 data: 0.0052 max mem: 31630 Epoch: [27] [1020/5278] eta: 3:12:29 lr: 1.793928439617902e-05 loss: 0.0468 (0.0507) loss_seg: 0.0465 (0.0502) loss_lansim: 0.0445 (0.0418) loss_contra: 0.0001 (0.0019) time: 2.7060 data: 0.0052 max mem: 31630 Epoch: [27] [1030/5278] eta: 3:12:00 lr: 1.793689576490156e-05 loss: 0.0474 (0.0506) loss_seg: 0.0469 (0.0502) loss_lansim: 0.0451 (0.0419) loss_contra: 0.0002 (0.0019) time: 2.7029 data: 0.0052 max mem: 31630 Epoch: [27] [1040/5278] eta: 3:11:34 lr: 1.7934507098280167e-05 loss: 0.0488 (0.0506) loss_seg: 0.0484 (0.0502) loss_lansim: 0.0452 (0.0419) loss_contra: 0.0001 (0.0019) time: 2.7082 data: 0.0052 max mem: 31630 Epoch: [27] [1050/5278] eta: 3:11:06 lr: 1.793211839630909e-05 loss: 0.0493 (0.0507) loss_seg: 0.0487 (0.0502) loss_lansim: 0.0452 (0.0419) loss_contra: 0.0002 (0.0019) time: 2.7046 data: 0.0052 max mem: 31630 Epoch: [27] [1060/5278] eta: 3:10:39 lr: 1.792972965898258e-05 loss: 0.0489 (0.0507) loss_seg: 0.0485 (0.0503) loss_lansim: 0.0451 (0.0419) loss_contra: 0.0002 (0.0019) time: 2.7090 data: 0.0052 max mem: 31630 Epoch: [27] [1070/5278] eta: 3:10:11 lr: 1.7927340886294862e-05 loss: 0.0493 (0.0510) loss_seg: 0.0487 (0.0505) loss_lansim: 0.0449 (0.0420) loss_contra: 0.0002 (0.0019) time: 2.7062 data: 0.0052 max mem: 31630 Epoch: [27] [1080/5278] eta: 3:09:45 lr: 1.792495207824019e-05 loss: 0.0494 (0.0509) loss_seg: 0.0490 (0.0504) loss_lansim: 0.0439 (0.0419) loss_contra: 0.0002 (0.0020) time: 2.7079 data: 0.0052 max mem: 31630 Epoch: [27] [1090/5278] eta: 3:09:19 lr: 1.79225632348128e-05 loss: 0.0493 (0.0509) loss_seg: 0.0487 (0.0505) loss_lansim: 0.0438 (0.0419) loss_contra: 0.0003 (0.0020) time: 2.7127 data: 0.0052 max mem: 31630 Epoch: [27] [1100/5278] eta: 3:08:52 lr: 1.7920174356006935e-05 loss: 0.0488 (0.0508) loss_seg: 0.0484 (0.0504) loss_lansim: 0.0435 (0.0419) loss_contra: 0.0003 (0.0021) time: 2.7100 data: 0.0052 max mem: 31630 Epoch: [27] [1110/5278] eta: 3:08:25 lr: 1.791778544181682e-05 loss: 0.0483 (0.0508) loss_seg: 0.0479 (0.0503) loss_lansim: 0.0429 (0.0419) loss_contra: 0.0004 (0.0022) time: 2.7142 data: 0.0053 max mem: 31630 Epoch: [27] [1120/5278] eta: 3:07:57 lr: 1.791539649223669e-05 loss: 0.0471 (0.0507) loss_seg: 0.0467 (0.0503) loss_lansim: 0.0425 (0.0419) loss_contra: 0.0004 (0.0022) time: 2.7108 data: 0.0053 max mem: 31630 Epoch: [27] [1130/5278] eta: 3:07:31 lr: 1.7913007507260787e-05 loss: 0.0471 (0.0508) loss_seg: 0.0467 (0.0504) loss_lansim: 0.0418 (0.0419) loss_contra: 0.0006 (0.0022) time: 2.7182 data: 0.0053 max mem: 31630 Epoch: [27] [1140/5278] eta: 3:07:02 lr: 1.7910618486883334e-05 loss: 0.0461 (0.0508) loss_seg: 0.0457 (0.0503) loss_lansim: 0.0405 (0.0418) loss_contra: 0.0006 (0.0022) time: 2.7119 data: 0.0053 max mem: 31630 Epoch: [27] [1150/5278] eta: 3:06:35 lr: 1.7908229431098565e-05 loss: 0.0450 (0.0508) loss_seg: 0.0445 (0.0504) loss_lansim: 0.0399 (0.0418) loss_contra: 0.0005 (0.0022) time: 2.7120 data: 0.0053 max mem: 31630 Epoch: [27] [1160/5278] eta: 3:06:07 lr: 1.79058403399007e-05 loss: 0.0450 (0.0508) loss_seg: 0.0445 (0.0504) loss_lansim: 0.0397 (0.0418) loss_contra: 0.0006 (0.0022) time: 2.7098 data: 0.0053 max mem: 31630 Epoch: [27] [1170/5278] eta: 3:05:38 lr: 1.790345121328397e-05 loss: 0.0452 (0.0508) loss_seg: 0.0446 (0.0503) loss_lansim: 0.0392 (0.0417) loss_contra: 0.0006 (0.0022) time: 2.7074 data: 0.0053 max mem: 31630 Epoch: [27] [1180/5278] eta: 3:05:11 lr: 1.7901062051242586e-05 loss: 0.0453 (0.0508) loss_seg: 0.0450 (0.0503) loss_lansim: 0.0386 (0.0417) loss_contra: 0.0005 (0.0022) time: 2.7046 data: 0.0053 max mem: 31630 Epoch: [27] [1190/5278] eta: 3:04:43 lr: 1.789867285377079e-05 loss: 0.0453 (0.0508) loss_seg: 0.0450 (0.0504) loss_lansim: 0.0375 (0.0417) loss_contra: 0.0004 (0.0022) time: 2.6991 data: 0.0053 max mem: 31630 Epoch: [27] [1200/5278] eta: 3:04:17 lr: 1.789628362086278e-05 loss: 0.0453 (0.0508) loss_seg: 0.0450 (0.0504) loss_lansim: 0.0375 (0.0416) loss_contra: 0.0003 (0.0021) time: 2.6998 data: 0.0053 max mem: 31630 Epoch: [27] [1210/5278] eta: 3:03:49 lr: 1.7893894352512787e-05 loss: 0.0453 (0.0508) loss_seg: 0.0449 (0.0503) loss_lansim: 0.0371 (0.0416) loss_contra: 0.0003 (0.0022) time: 2.6980 data: 0.0053 max mem: 31630 Epoch: [27] [1220/5278] eta: 3:03:21 lr: 1.789150504871502e-05 loss: 0.0468 (0.0508) loss_seg: 0.0464 (0.0504) loss_lansim: 0.0372 (0.0416) loss_contra: 0.0003 (0.0022) time: 2.6977 data: 0.0053 max mem: 31630 Epoch: [27] [1230/5278] eta: 3:02:54 lr: 1.788911570946371e-05 loss: 0.0453 (0.0508) loss_seg: 0.0450 (0.0504) loss_lansim: 0.0370 (0.0415) loss_contra: 0.0003 (0.0022) time: 2.6944 data: 0.0053 max mem: 31630 Epoch: [27] [1240/5278] eta: 3:02:26 lr: 1.788672633475304e-05 loss: 0.0468 (0.0508) loss_seg: 0.0463 (0.0503) loss_lansim: 0.0374 (0.0415) loss_contra: 0.0002 (0.0022) time: 2.6953 data: 0.0053 max mem: 31630 Epoch: [27] [1250/5278] eta: 3:01:59 lr: 1.788433692457724e-05 loss: 0.0476 (0.0508) loss_seg: 0.0472 (0.0504) loss_lansim: 0.0376 (0.0415) loss_contra: 0.0002 (0.0022) time: 2.6974 data: 0.0053 max mem: 31630 Epoch: [27] [1260/5278] eta: 3:01:32 lr: 1.788194747893052e-05 loss: 0.0481 (0.0508) loss_seg: 0.0477 (0.0504) loss_lansim: 0.0377 (0.0415) loss_contra: 0.0002 (0.0021) time: 2.6985 data: 0.0053 max mem: 31630 Epoch: [27] [1270/5278] eta: 3:01:04 lr: 1.787955799780708e-05 loss: 0.0490 (0.0508) loss_seg: 0.0486 (0.0504) loss_lansim: 0.0379 (0.0414) loss_contra: 0.0002 (0.0021) time: 2.7025 data: 0.0053 max mem: 31630 Epoch: [27] [1280/5278] eta: 3:00:37 lr: 1.7877168481201126e-05 loss: 0.0491 (0.0508) loss_seg: 0.0487 (0.0504) loss_lansim: 0.0384 (0.0414) loss_contra: 0.0002 (0.0021) time: 2.7020 data: 0.0053 max mem: 31630 Epoch: [27] [1290/5278] eta: 3:00:09 lr: 1.7874778929106862e-05 loss: 0.0490 (0.0509) loss_seg: 0.0486 (0.0505) loss_lansim: 0.0384 (0.0414) loss_contra: 0.0002 (0.0021) time: 2.7017 data: 0.0053 max mem: 31630 Epoch: [27] [1300/5278] eta: 2:59:43 lr: 1.787238934151849e-05 loss: 0.0490 (0.0510) loss_seg: 0.0486 (0.0506) loss_lansim: 0.0386 (0.0414) loss_contra: 0.0002 (0.0021) time: 2.7034 data: 0.0053 max mem: 31630 Epoch: [27] [1310/5278] eta: 2:59:15 lr: 1.7869999718430212e-05 loss: 0.0491 (0.0509) loss_seg: 0.0487 (0.0505) loss_lansim: 0.0389 (0.0414) loss_contra: 0.0002 (0.0021) time: 2.7017 data: 0.0054 max mem: 31630 Epoch: [27] [1320/5278] eta: 2:58:47 lr: 1.7867610059836222e-05 loss: 0.0492 (0.0510) loss_seg: 0.0488 (0.0506) loss_lansim: 0.0390 (0.0414) loss_contra: 0.0002 (0.0021) time: 2.7027 data: 0.0054 max mem: 31630 Epoch: [27] [1330/5278] eta: 2:58:20 lr: 1.786522036573071e-05 loss: 0.0501 (0.0510) loss_seg: 0.0498 (0.0506) loss_lansim: 0.0393 (0.0414) loss_contra: 0.0002 (0.0022) time: 2.7029 data: 0.0054 max mem: 31630 Epoch: [27] [1340/5278] eta: 2:57:52 lr: 1.7862830636107886e-05 loss: 0.0488 (0.0509) loss_seg: 0.0484 (0.0505) loss_lansim: 0.0394 (0.0414) loss_contra: 0.0002 (0.0022) time: 2.7036 data: 0.0054 max mem: 31630 Epoch: [27] [1350/5278] eta: 2:57:25 lr: 1.7860440870961935e-05 loss: 0.0462 (0.0509) loss_seg: 0.0458 (0.0505) loss_lansim: 0.0392 (0.0414) loss_contra: 0.0002 (0.0022) time: 2.6999 data: 0.0054 max mem: 31630 Epoch: [27] [1360/5278] eta: 2:56:57 lr: 1.785805107028704e-05 loss: 0.0457 (0.0509) loss_seg: 0.0454 (0.0505) loss_lansim: 0.0394 (0.0414) loss_contra: 0.0002 (0.0022) time: 2.6993 data: 0.0053 max mem: 31630 Epoch: [27] [1370/5278] eta: 2:56:29 lr: 1.7855661234077398e-05 loss: 0.0453 (0.0508) loss_seg: 0.0449 (0.0504) loss_lansim: 0.0392 (0.0413) loss_contra: 0.0003 (0.0022) time: 2.6972 data: 0.0053 max mem: 31630 Epoch: [27] [1380/5278] eta: 2:56:02 lr: 1.7853271362327194e-05 loss: 0.0443 (0.0508) loss_seg: 0.0439 (0.0504) loss_lansim: 0.0397 (0.0413) loss_contra: 0.0003 (0.0022) time: 2.6970 data: 0.0053 max mem: 31630 Epoch: [27] [1390/5278] eta: 2:55:35 lr: 1.7850881455030616e-05 loss: 0.0442 (0.0507) loss_seg: 0.0439 (0.0503) loss_lansim: 0.0398 (0.0413) loss_contra: 0.0003 (0.0022) time: 2.6982 data: 0.0053 max mem: 31630 Epoch: [27] [1400/5278] eta: 2:55:08 lr: 1.784849151218185e-05 loss: 0.0431 (0.0508) loss_seg: 0.0427 (0.0503) loss_lansim: 0.0398 (0.0414) loss_contra: 0.0003 (0.0022) time: 2.6955 data: 0.0054 max mem: 31630 Epoch: [27] [1410/5278] eta: 2:54:41 lr: 1.7846101533775062e-05 loss: 0.0444 (0.0508) loss_seg: 0.0441 (0.0503) loss_lansim: 0.0398 (0.0413) loss_contra: 0.0003 (0.0022) time: 2.6996 data: 0.0055 max mem: 31630 Epoch: [27] [1420/5278] eta: 2:54:13 lr: 1.7843711519804445e-05 loss: 0.0426 (0.0507) loss_seg: 0.0422 (0.0503) loss_lansim: 0.0399 (0.0413) loss_contra: 0.0003 (0.0021) time: 2.6995 data: 0.0055 max mem: 31630 Epoch: [27] [1430/5278] eta: 2:53:47 lr: 1.7841321470264173e-05 loss: 0.0431 (0.0508) loss_seg: 0.0427 (0.0504) loss_lansim: 0.0399 (0.0414) loss_contra: 0.0002 (0.0021) time: 2.7035 data: 0.0055 max mem: 31630 Epoch: [27] [1440/5278] eta: 2:53:19 lr: 1.7838931385148433e-05 loss: 0.0444 (0.0507) loss_seg: 0.0441 (0.0503) loss_lansim: 0.0398 (0.0414) loss_contra: 0.0002 (0.0021) time: 2.7017 data: 0.0055 max mem: 31630 Epoch: [27] [1450/5278] eta: 2:52:52 lr: 1.7836541264451377e-05 loss: 0.0446 (0.0507) loss_seg: 0.0442 (0.0503) loss_lansim: 0.0397 (0.0413) loss_contra: 0.0002 (0.0021) time: 2.7028 data: 0.0056 max mem: 31630 Epoch: [27] [1460/5278] eta: 2:52:25 lr: 1.7834151108167197e-05 loss: 0.0459 (0.0509) loss_seg: 0.0455 (0.0504) loss_lansim: 0.0397 (0.0413) loss_contra: 0.0002 (0.0021) time: 2.7036 data: 0.0056 max mem: 31630 Epoch: [27] [1470/5278] eta: 2:51:58 lr: 1.783176091629005e-05 loss: 0.0461 (0.0508) loss_seg: 0.0458 (0.0504) loss_lansim: 0.0397 (0.0413) loss_contra: 0.0002 (0.0021) time: 2.7087 data: 0.0056 max mem: 31630 Epoch: [27] [1480/5278] eta: 2:51:31 lr: 1.7829370688814122e-05 loss: 0.0467 (0.0509) loss_seg: 0.0464 (0.0504) loss_lansim: 0.0395 (0.0413) loss_contra: 0.0002 (0.0021) time: 2.7095 data: 0.0056 max mem: 31630 Epoch: [27] [1490/5278] eta: 2:51:05 lr: 1.7826980425733558e-05 loss: 0.0471 (0.0509) loss_seg: 0.0467 (0.0504) loss_lansim: 0.0394 (0.0413) loss_contra: 0.0001 (0.0021) time: 2.7126 data: 0.0056 max mem: 31630 Epoch: [27] [1500/5278] eta: 2:50:38 lr: 1.7824590127042536e-05 loss: 0.0467 (0.0508) loss_seg: 0.0464 (0.0504) loss_lansim: 0.0389 (0.0413) loss_contra: 0.0002 (0.0021) time: 2.7138 data: 0.0055 max mem: 31630 Epoch: [27] [1510/5278] eta: 2:50:10 lr: 1.782219979273522e-05 loss: 0.0471 (0.0509) loss_seg: 0.0467 (0.0505) loss_lansim: 0.0383 (0.0412) loss_contra: 0.0002 (0.0021) time: 2.7119 data: 0.0055 max mem: 31630 Epoch: [27] [1520/5278] eta: 2:49:43 lr: 1.7819809422805772e-05 loss: 0.0471 (0.0509) loss_seg: 0.0467 (0.0505) loss_lansim: 0.0379 (0.0412) loss_contra: 0.0002 (0.0021) time: 2.7126 data: 0.0054 max mem: 31630 Epoch: [27] [1530/5278] eta: 2:49:16 lr: 1.7817419017248344e-05 loss: 0.0469 (0.0510) loss_seg: 0.0466 (0.0505) loss_lansim: 0.0376 (0.0412) loss_contra: 0.0002 (0.0021) time: 2.7069 data: 0.0055 max mem: 31630 Epoch: [27] [1540/5278] eta: 2:48:49 lr: 1.7815028576057097e-05 loss: 0.0471 (0.0510) loss_seg: 0.0467 (0.0506) loss_lansim: 0.0375 (0.0412) loss_contra: 0.0002 (0.0021) time: 2.7121 data: 0.0056 max mem: 31630 Epoch: [27] [1550/5278] eta: 2:48:20 lr: 1.781263809922619e-05 loss: 0.0471 (0.0509) loss_seg: 0.0467 (0.0505) loss_lansim: 0.0375 (0.0411) loss_contra: 0.0002 (0.0021) time: 2.7081 data: 0.0056 max mem: 31630 Epoch: [27] [1560/5278] eta: 2:47:52 lr: 1.781024758674978e-05 loss: 0.0465 (0.0509) loss_seg: 0.0461 (0.0505) loss_lansim: 0.0372 (0.0411) loss_contra: 0.0002 (0.0021) time: 2.7009 data: 0.0057 max mem: 31630 Epoch: [27] [1570/5278] eta: 2:47:23 lr: 1.780785703862201e-05 loss: 0.0469 (0.0509) loss_seg: 0.0466 (0.0505) loss_lansim: 0.0372 (0.0411) loss_contra: 0.0002 (0.0021) time: 2.6914 data: 0.0058 max mem: 31630 Epoch: [27] [1580/5278] eta: 2:46:54 lr: 1.7805466454837036e-05 loss: 0.0455 (0.0509) loss_seg: 0.0451 (0.0504) loss_lansim: 0.0368 (0.0410) loss_contra: 0.0002 (0.0021) time: 2.6841 data: 0.0059 max mem: 31630 Epoch: [27] [1590/5278] eta: 2:46:26 lr: 1.7803075835389006e-05 loss: 0.0457 (0.0508) loss_seg: 0.0454 (0.0504) loss_lansim: 0.0367 (0.0410) loss_contra: 0.0002 (0.0021) time: 2.6750 data: 0.0059 max mem: 31630 Epoch: [27] [1600/5278] eta: 2:45:57 lr: 1.7800685180272073e-05 loss: 0.0466 (0.0508) loss_seg: 0.0463 (0.0504) loss_lansim: 0.0365 (0.0410) loss_contra: 0.0002 (0.0021) time: 2.6671 data: 0.0059 max mem: 31630 Epoch: [27] [1610/5278] eta: 2:45:28 lr: 1.779829448948037e-05 loss: 0.0457 (0.0508) loss_seg: 0.0454 (0.0504) loss_lansim: 0.0365 (0.0410) loss_contra: 0.0002 (0.0021) time: 2.6605 data: 0.0059 max mem: 31630 Epoch: [27] [1620/5278] eta: 2:45:00 lr: 1.7795903763008046e-05 loss: 0.0461 (0.0508) loss_seg: 0.0456 (0.0504) loss_lansim: 0.0364 (0.0409) loss_contra: 0.0002 (0.0021) time: 2.6538 data: 0.0060 max mem: 31630 Epoch: [27] [1630/5278] eta: 2:44:31 lr: 1.779351300084924e-05 loss: 0.0464 (0.0509) loss_seg: 0.0460 (0.0505) loss_lansim: 0.0354 (0.0409) loss_contra: 0.0002 (0.0021) time: 2.6479 data: 0.0060 max mem: 31630 Epoch: [27] [1640/5278] eta: 2:44:02 lr: 1.7791122202998097e-05 loss: 0.0466 (0.0510) loss_seg: 0.0463 (0.0506) loss_lansim: 0.0358 (0.0409) loss_contra: 0.0002 (0.0021) time: 2.6400 data: 0.0060 max mem: 31630 Epoch: [27] [1650/5278] eta: 2:43:34 lr: 1.7788731369448754e-05 loss: 0.0483 (0.0510) loss_seg: 0.0480 (0.0506) loss_lansim: 0.0349 (0.0408) loss_contra: 0.0003 (0.0021) time: 2.6380 data: 0.0059 max mem: 31630 Epoch: [27] [1660/5278] eta: 2:43:05 lr: 1.7786340500195343e-05 loss: 0.0472 (0.0510) loss_seg: 0.0468 (0.0506) loss_lansim: 0.0346 (0.0408) loss_contra: 0.0003 (0.0021) time: 2.6376 data: 0.0058 max mem: 31630 Epoch: [27] [1670/5278] eta: 2:42:37 lr: 1.7783949595231995e-05 loss: 0.0471 (0.0510) loss_seg: 0.0467 (0.0506) loss_lansim: 0.0345 (0.0407) loss_contra: 0.0003 (0.0021) time: 2.6369 data: 0.0057 max mem: 31630 Epoch: [27] [1680/5278] eta: 2:42:08 lr: 1.7781558654552853e-05 loss: 0.0483 (0.0510) loss_seg: 0.0480 (0.0506) loss_lansim: 0.0335 (0.0406) loss_contra: 0.0003 (0.0021) time: 2.6374 data: 0.0057 max mem: 31630 Epoch: [27] [1690/5278] eta: 2:41:41 lr: 1.777916767815204e-05 loss: 0.0489 (0.0510) loss_seg: 0.0484 (0.0506) loss_lansim: 0.0334 (0.0406) loss_contra: 0.0003 (0.0020) time: 2.6411 data: 0.0057 max mem: 31630 Epoch: [27] [1700/5278] eta: 2:41:14 lr: 1.7776776666023684e-05 loss: 0.0482 (0.0510) loss_seg: 0.0479 (0.0506) loss_lansim: 0.0333 (0.0406) loss_contra: 0.0003 (0.0020) time: 2.6487 data: 0.0057 max mem: 31630 Epoch: [27] [1710/5278] eta: 2:40:46 lr: 1.777438561816191e-05 loss: 0.0484 (0.0510) loss_seg: 0.0481 (0.0506) loss_lansim: 0.0330 (0.0405) loss_contra: 0.0003 (0.0020) time: 2.6530 data: 0.0056 max mem: 31630 Epoch: [27] [1720/5278] eta: 2:40:20 lr: 1.7771994534560845e-05 loss: 0.0489 (0.0511) loss_seg: 0.0484 (0.0506) loss_lansim: 0.0330 (0.0405) loss_contra: 0.0003 (0.0020) time: 2.6629 data: 0.0055 max mem: 31630 Epoch: [27] [1730/5278] eta: 2:39:53 lr: 1.776960341521462e-05 loss: 0.0482 (0.0510) loss_seg: 0.0478 (0.0506) loss_lansim: 0.0332 (0.0405) loss_contra: 0.0003 (0.0020) time: 2.6695 data: 0.0055 max mem: 31630 Epoch: [27] [1740/5278] eta: 2:39:27 lr: 1.7767212260117344e-05 loss: 0.0481 (0.0511) loss_seg: 0.0477 (0.0507) loss_lansim: 0.0322 (0.0404) loss_contra: 0.0003 (0.0020) time: 2.6807 data: 0.0055 max mem: 31630 Epoch: [27] [1750/5278] eta: 2:38:59 lr: 1.776482106926314e-05 loss: 0.0482 (0.0511) loss_seg: 0.0478 (0.0507) loss_lansim: 0.0320 (0.0404) loss_contra: 0.0002 (0.0020) time: 2.6865 data: 0.0055 max mem: 31630 Epoch: [27] [1760/5278] eta: 2:38:32 lr: 1.7762429842646124e-05 loss: 0.0482 (0.0511) loss_seg: 0.0478 (0.0507) loss_lansim: 0.0322 (0.0403) loss_contra: 0.0002 (0.0020) time: 2.6925 data: 0.0054 max mem: 31630 Epoch: [27] [1770/5278] eta: 2:38:05 lr: 1.7760038580260425e-05 loss: 0.0502 (0.0511) loss_seg: 0.0498 (0.0507) loss_lansim: 0.0322 (0.0403) loss_contra: 0.0002 (0.0020) time: 2.6982 data: 0.0054 max mem: 31630 Epoch: [27] [1780/5278] eta: 2:37:38 lr: 1.7757647282100135e-05 loss: 0.0484 (0.0511) loss_seg: 0.0481 (0.0506) loss_lansim: 0.0333 (0.0402) loss_contra: 0.0002 (0.0020) time: 2.7037 data: 0.0054 max mem: 31630 Epoch: [27] [1790/5278] eta: 2:37:11 lr: 1.7755255948159377e-05 loss: 0.0476 (0.0510) loss_seg: 0.0473 (0.0506) loss_lansim: 0.0329 (0.0402) loss_contra: 0.0002 (0.0020) time: 2.7084 data: 0.0054 max mem: 31630 Epoch: [27] [1800/5278] eta: 2:36:44 lr: 1.7752864578432263e-05 loss: 0.0464 (0.0510) loss_seg: 0.0460 (0.0506) loss_lansim: 0.0327 (0.0402) loss_contra: 0.0002 (0.0020) time: 2.7065 data: 0.0054 max mem: 31630 Epoch: [27] [1810/5278] eta: 2:36:17 lr: 1.77504731729129e-05 loss: 0.0464 (0.0510) loss_seg: 0.0460 (0.0506) loss_lansim: 0.0322 (0.0401) loss_contra: 0.0002 (0.0020) time: 2.7102 data: 0.0054 max mem: 31630 Epoch: [27] [1820/5278] eta: 2:35:50 lr: 1.7748081731595392e-05 loss: 0.0466 (0.0510) loss_seg: 0.0463 (0.0506) loss_lansim: 0.0322 (0.0401) loss_contra: 0.0002 (0.0020) time: 2.7038 data: 0.0054 max mem: 31630 Epoch: [27] [1830/5278] eta: 2:35:23 lr: 1.774569025447384e-05 loss: 0.0468 (0.0510) loss_seg: 0.0466 (0.0506) loss_lansim: 0.0318 (0.0400) loss_contra: 0.0001 (0.0020) time: 2.7063 data: 0.0054 max mem: 31630 Epoch: [27] [1840/5278] eta: 2:34:56 lr: 1.7743298741542354e-05 loss: 0.0458 (0.0510) loss_seg: 0.0455 (0.0506) loss_lansim: 0.0320 (0.0400) loss_contra: 0.0002 (0.0020) time: 2.7019 data: 0.0054 max mem: 31630 Epoch: [27] [1850/5278] eta: 2:34:29 lr: 1.774090719279503e-05 loss: 0.0454 (0.0510) loss_seg: 0.0452 (0.0506) loss_lansim: 0.0323 (0.0400) loss_contra: 0.0002 (0.0020) time: 2.7022 data: 0.0054 max mem: 31630 Epoch: [27] [1860/5278] eta: 2:34:01 lr: 1.7738515608225974e-05 loss: 0.0459 (0.0510) loss_seg: 0.0456 (0.0506) loss_lansim: 0.0323 (0.0399) loss_contra: 0.0002 (0.0019) time: 2.7003 data: 0.0054 max mem: 31630 Epoch: [27] [1870/5278] eta: 2:33:35 lr: 1.7736123987829272e-05 loss: 0.0456 (0.0510) loss_seg: 0.0453 (0.0506) loss_lansim: 0.0323 (0.0399) loss_contra: 0.0002 (0.0019) time: 2.7049 data: 0.0054 max mem: 31630 Epoch: [27] [1880/5278] eta: 2:33:08 lr: 1.7733732331599023e-05 loss: 0.0458 (0.0510) loss_seg: 0.0455 (0.0506) loss_lansim: 0.0322 (0.0399) loss_contra: 0.0001 (0.0019) time: 2.7056 data: 0.0054 max mem: 31630 Epoch: [27] [1890/5278] eta: 2:32:41 lr: 1.7731340639529327e-05 loss: 0.0466 (0.0510) loss_seg: 0.0463 (0.0506) loss_lansim: 0.0320 (0.0398) loss_contra: 0.0002 (0.0019) time: 2.7031 data: 0.0054 max mem: 31630 Epoch: [27] [1900/5278] eta: 2:32:13 lr: 1.772894891161427e-05 loss: 0.0485 (0.0510) loss_seg: 0.0482 (0.0506) loss_lansim: 0.0320 (0.0398) loss_contra: 0.0002 (0.0019) time: 2.6999 data: 0.0055 max mem: 31630 Epoch: [27] [1910/5278] eta: 2:31:46 lr: 1.7726557147847937e-05 loss: 0.0482 (0.0510) loss_seg: 0.0479 (0.0506) loss_lansim: 0.0319 (0.0397) loss_contra: 0.0002 (0.0019) time: 2.6984 data: 0.0055 max mem: 31630 Epoch: [27] [1920/5278] eta: 2:31:18 lr: 1.7724165348224426e-05 loss: 0.0485 (0.0511) loss_seg: 0.0482 (0.0507) loss_lansim: 0.0315 (0.0397) loss_contra: 0.0002 (0.0019) time: 2.6991 data: 0.0055 max mem: 31630 Epoch: [27] [1930/5278] eta: 2:30:51 lr: 1.772177351273781e-05 loss: 0.0503 (0.0511) loss_seg: 0.0499 (0.0507) loss_lansim: 0.0315 (0.0396) loss_contra: 0.0002 (0.0019) time: 2.6980 data: 0.0055 max mem: 31630 Epoch: [27] [1940/5278] eta: 2:30:24 lr: 1.771938164138219e-05 loss: 0.0501 (0.0511) loss_seg: 0.0494 (0.0507) loss_lansim: 0.0317 (0.0396) loss_contra: 0.0002 (0.0020) time: 2.6951 data: 0.0055 max mem: 31630 Epoch: [27] [1950/5278] eta: 2:29:57 lr: 1.7716989734151634e-05 loss: 0.0506 (0.0512) loss_seg: 0.0502 (0.0507) loss_lansim: 0.0310 (0.0395) loss_contra: 0.0002 (0.0020) time: 2.6986 data: 0.0055 max mem: 31630 Epoch: [27] [1960/5278] eta: 2:29:30 lr: 1.7714597791040224e-05 loss: 0.0491 (0.0511) loss_seg: 0.0488 (0.0507) loss_lansim: 0.0309 (0.0395) loss_contra: 0.0002 (0.0020) time: 2.6999 data: 0.0055 max mem: 31630 Epoch: [27] [1970/5278] eta: 2:29:04 lr: 1.7712205812042043e-05 loss: 0.0491 (0.0511) loss_seg: 0.0488 (0.0507) loss_lansim: 0.0307 (0.0394) loss_contra: 0.0002 (0.0020) time: 2.7007 data: 0.0055 max mem: 31630 Epoch: [27] [1980/5278] eta: 2:28:37 lr: 1.7709813797151174e-05 loss: 0.0485 (0.0510) loss_seg: 0.0482 (0.0506) loss_lansim: 0.0307 (0.0394) loss_contra: 0.0002 (0.0020) time: 2.7001 data: 0.0055 max mem: 31630 Epoch: [27] [1990/5278] eta: 2:28:10 lr: 1.7707421746361675e-05 loss: 0.0491 (0.0510) loss_seg: 0.0488 (0.0506) loss_lansim: 0.0312 (0.0394) loss_contra: 0.0003 (0.0020) time: 2.7032 data: 0.0055 max mem: 31630 Epoch: [27] [2000/5278] eta: 2:27:43 lr: 1.7705029659667623e-05 loss: 0.0491 (0.0510) loss_seg: 0.0488 (0.0506) loss_lansim: 0.0307 (0.0393) loss_contra: 0.0004 (0.0020) time: 2.7045 data: 0.0056 max mem: 31630 Epoch: [27] [2010/5278] eta: 2:27:16 lr: 1.77026375370631e-05 loss: 0.0497 (0.0510) loss_seg: 0.0494 (0.0506) loss_lansim: 0.0309 (0.0393) loss_contra: 0.0004 (0.0020) time: 2.7088 data: 0.0056 max mem: 31630 Epoch: [27] [2020/5278] eta: 2:26:49 lr: 1.7700245378542172e-05 loss: 0.0491 (0.0510) loss_seg: 0.0488 (0.0506) loss_lansim: 0.0307 (0.0392) loss_contra: 0.0004 (0.0020) time: 2.7094 data: 0.0056 max mem: 31630 Epoch: [27] [2030/5278] eta: 2:26:22 lr: 1.7697853184098894e-05 loss: 0.0472 (0.0510) loss_seg: 0.0469 (0.0506) loss_lansim: 0.0303 (0.0392) loss_contra: 0.0004 (0.0020) time: 2.7124 data: 0.0056 max mem: 31630 Epoch: [27] [2040/5278] eta: 2:25:56 lr: 1.7695460953727342e-05 loss: 0.0472 (0.0510) loss_seg: 0.0469 (0.0506) loss_lansim: 0.0303 (0.0391) loss_contra: 0.0004 (0.0020) time: 2.7163 data: 0.0057 max mem: 31630 Epoch: [27] [2050/5278] eta: 2:25:28 lr: 1.7693068687421576e-05 loss: 0.0472 (0.0510) loss_seg: 0.0469 (0.0506) loss_lansim: 0.0303 (0.0391) loss_contra: 0.0004 (0.0020) time: 2.7128 data: 0.0056 max mem: 31630 Epoch: [27] [2060/5278] eta: 2:25:01 lr: 1.7690676385175667e-05 loss: 0.0478 (0.0510) loss_seg: 0.0475 (0.0506) loss_lansim: 0.0302 (0.0391) loss_contra: 0.0004 (0.0020) time: 2.7131 data: 0.0057 max mem: 31630 Epoch: [27] [2070/5278] eta: 2:24:35 lr: 1.768828404698366e-05 loss: 0.0480 (0.0510) loss_seg: 0.0477 (0.0506) loss_lansim: 0.0302 (0.0390) loss_contra: 0.0004 (0.0020) time: 2.7133 data: 0.0057 max mem: 31630 Epoch: [27] [2080/5278] eta: 2:24:07 lr: 1.768589167283962e-05 loss: 0.0486 (0.0510) loss_seg: 0.0484 (0.0506) loss_lansim: 0.0307 (0.0390) loss_contra: 0.0005 (0.0020) time: 2.7109 data: 0.0057 max mem: 31630 Epoch: [27] [2090/5278] eta: 2:23:41 lr: 1.7683499262737597e-05 loss: 0.0489 (0.0511) loss_seg: 0.0485 (0.0507) loss_lansim: 0.0302 (0.0389) loss_contra: 0.0003 (0.0020) time: 2.7142 data: 0.0058 max mem: 31630 Epoch: [27] [2100/5278] eta: 2:23:15 lr: 1.7681106816671657e-05 loss: 0.0493 (0.0511) loss_seg: 0.0490 (0.0507) loss_lansim: 0.0307 (0.0389) loss_contra: 0.0003 (0.0020) time: 2.7191 data: 0.0058 max mem: 31630 Epoch: [27] [2110/5278] eta: 2:22:48 lr: 1.767871433463585e-05 loss: 0.0475 (0.0511) loss_seg: 0.0472 (0.0507) loss_lansim: 0.0302 (0.0389) loss_contra: 0.0003 (0.0020) time: 2.7159 data: 0.0057 max mem: 31630 Epoch: [27] [2120/5278] eta: 2:22:20 lr: 1.7676321816624213e-05 loss: 0.0458 (0.0511) loss_seg: 0.0454 (0.0507) loss_lansim: 0.0298 (0.0388) loss_contra: 0.0003 (0.0020) time: 2.7153 data: 0.0057 max mem: 31630 Epoch: [27] [2130/5278] eta: 2:21:53 lr: 1.7673929262630805e-05 loss: 0.0464 (0.0511) loss_seg: 0.0461 (0.0506) loss_lansim: 0.0298 (0.0388) loss_contra: 0.0003 (0.0020) time: 2.7136 data: 0.0057 max mem: 31630 Epoch: [27] [2140/5278] eta: 2:21:26 lr: 1.767153667264967e-05 loss: 0.0467 (0.0511) loss_seg: 0.0463 (0.0507) loss_lansim: 0.0297 (0.0387) loss_contra: 0.0003 (0.0020) time: 2.7075 data: 0.0055 max mem: 31630 Epoch: [27] [2150/5278] eta: 2:20:59 lr: 1.766914404667486e-05 loss: 0.0464 (0.0511) loss_seg: 0.0461 (0.0506) loss_lansim: 0.0293 (0.0387) loss_contra: 0.0003 (0.0020) time: 2.7079 data: 0.0056 max mem: 31630 Epoch: [27] [2160/5278] eta: 2:20:31 lr: 1.7666751384700407e-05 loss: 0.0467 (0.0511) loss_seg: 0.0463 (0.0506) loss_lansim: 0.0291 (0.0386) loss_contra: 0.0002 (0.0020) time: 2.7080 data: 0.0055 max mem: 31630 Epoch: [27] [2170/5278] eta: 2:20:04 lr: 1.7664358686720352e-05 loss: 0.0467 (0.0511) loss_seg: 0.0463 (0.0507) loss_lansim: 0.0290 (0.0386) loss_contra: 0.0003 (0.0020) time: 2.7013 data: 0.0054 max mem: 31630 Epoch: [27] [2180/5278] eta: 2:19:37 lr: 1.7661965952728743e-05 loss: 0.0474 (0.0513) loss_seg: 0.0471 (0.0509) loss_lansim: 0.0280 (0.0385) loss_contra: 0.0003 (0.0020) time: 2.7075 data: 0.0054 max mem: 31630 Epoch: [27] [2190/5278] eta: 2:19:10 lr: 1.7659573182719615e-05 loss: 0.0464 (0.0513) loss_seg: 0.0461 (0.0509) loss_lansim: 0.0280 (0.0385) loss_contra: 0.0003 (0.0020) time: 2.6996 data: 0.0054 max mem: 31630 Epoch: [27] [2200/5278] eta: 2:18:44 lr: 1.7657180376687e-05 loss: 0.0464 (0.0513) loss_seg: 0.0461 (0.0509) loss_lansim: 0.0278 (0.0384) loss_contra: 0.0003 (0.0020) time: 2.7006 data: 0.0054 max mem: 31630 Epoch: [27] [2210/5278] eta: 2:18:16 lr: 1.765478753462493e-05 loss: 0.0474 (0.0514) loss_seg: 0.0471 (0.0510) loss_lansim: 0.0276 (0.0384) loss_contra: 0.0002 (0.0020) time: 2.6979 data: 0.0055 max mem: 31630 Epoch: [27] [2220/5278] eta: 2:17:49 lr: 1.7652394656527435e-05 loss: 0.0479 (0.0514) loss_seg: 0.0476 (0.0510) loss_lansim: 0.0277 (0.0383) loss_contra: 0.0003 (0.0020) time: 2.7024 data: 0.0055 max mem: 31630 Epoch: [27] [2230/5278] eta: 2:17:22 lr: 1.7650001742388557e-05 loss: 0.0473 (0.0513) loss_seg: 0.0469 (0.0509) loss_lansim: 0.0273 (0.0383) loss_contra: 0.0003 (0.0020) time: 2.7013 data: 0.0056 max mem: 31630 Epoch: [27] [2240/5278] eta: 2:16:56 lr: 1.7647608792202304e-05 loss: 0.0469 (0.0513) loss_seg: 0.0467 (0.0509) loss_lansim: 0.0277 (0.0382) loss_contra: 0.0003 (0.0020) time: 2.7081 data: 0.0056 max mem: 31630 Epoch: [27] [2250/5278] eta: 2:16:29 lr: 1.764521580596272e-05 loss: 0.0464 (0.0513) loss_seg: 0.0462 (0.0509) loss_lansim: 0.0278 (0.0382) loss_contra: 0.0003 (0.0020) time: 2.7086 data: 0.0056 max mem: 31630 Epoch: [27] [2260/5278] eta: 2:16:02 lr: 1.7642822783663817e-05 loss: 0.0464 (0.0513) loss_seg: 0.0462 (0.0509) loss_lansim: 0.0278 (0.0382) loss_contra: 0.0003 (0.0020) time: 2.7136 data: 0.0057 max mem: 31630 Epoch: [27] [2270/5278] eta: 2:15:36 lr: 1.764042972529963e-05 loss: 0.0467 (0.0513) loss_seg: 0.0465 (0.0509) loss_lansim: 0.0281 (0.0381) loss_contra: 0.0002 (0.0020) time: 2.7189 data: 0.0057 max mem: 31630 Epoch: [27] [2280/5278] eta: 2:15:09 lr: 1.7638036630864164e-05 loss: 0.0467 (0.0513) loss_seg: 0.0464 (0.0509) loss_lansim: 0.0281 (0.0381) loss_contra: 0.0002 (0.0020) time: 2.7169 data: 0.0057 max mem: 31630 Epoch: [27] [2290/5278] eta: 2:14:42 lr: 1.7635643500351444e-05 loss: 0.0464 (0.0513) loss_seg: 0.0462 (0.0509) loss_lansim: 0.0278 (0.0380) loss_contra: 0.0002 (0.0020) time: 2.7206 data: 0.0057 max mem: 31630 Epoch: [27] [2300/5278] eta: 2:14:15 lr: 1.7633250333755487e-05 loss: 0.0446 (0.0513) loss_seg: 0.0443 (0.0509) loss_lansim: 0.0277 (0.0380) loss_contra: 0.0002 (0.0020) time: 2.7199 data: 0.0056 max mem: 31630 Epoch: [27] [2310/5278] eta: 2:13:48 lr: 1.7630857131070312e-05 loss: 0.0432 (0.0512) loss_seg: 0.0428 (0.0508) loss_lansim: 0.0277 (0.0379) loss_contra: 0.0003 (0.0021) time: 2.7203 data: 0.0055 max mem: 31630 Epoch: [27] [2320/5278] eta: 2:13:21 lr: 1.762846389228992e-05 loss: 0.0438 (0.0512) loss_seg: 0.0435 (0.0508) loss_lansim: 0.0276 (0.0379) loss_contra: 0.0003 (0.0021) time: 2.7193 data: 0.0055 max mem: 31630 Epoch: [27] [2330/5278] eta: 2:12:54 lr: 1.7626070617408328e-05 loss: 0.0464 (0.0513) loss_seg: 0.0461 (0.0509) loss_lansim: 0.0277 (0.0379) loss_contra: 0.0004 (0.0021) time: 2.7174 data: 0.0055 max mem: 31630 Epoch: [27] [2340/5278] eta: 2:12:27 lr: 1.7623677306419548e-05 loss: 0.0464 (0.0513) loss_seg: 0.0461 (0.0509) loss_lansim: 0.0277 (0.0378) loss_contra: 0.0004 (0.0021) time: 2.7174 data: 0.0055 max mem: 31630 Epoch: [27] [2350/5278] eta: 2:12:00 lr: 1.762128395931758e-05 loss: 0.0470 (0.0513) loss_seg: 0.0466 (0.0509) loss_lansim: 0.0277 (0.0378) loss_contra: 0.0005 (0.0021) time: 2.7170 data: 0.0054 max mem: 31630 Epoch: [27] [2360/5278] eta: 2:11:33 lr: 1.7618890576096443e-05 loss: 0.0468 (0.0513) loss_seg: 0.0465 (0.0509) loss_lansim: 0.0278 (0.0377) loss_contra: 0.0005 (0.0021) time: 2.7141 data: 0.0054 max mem: 31630 Epoch: [27] [2370/5278] eta: 2:11:06 lr: 1.761649715675012e-05 loss: 0.0456 (0.0513) loss_seg: 0.0454 (0.0509) loss_lansim: 0.0275 (0.0377) loss_contra: 0.0006 (0.0021) time: 2.7133 data: 0.0054 max mem: 31630 Epoch: [27] [2380/5278] eta: 2:10:39 lr: 1.761410370127262e-05 loss: 0.0455 (0.0513) loss_seg: 0.0452 (0.0509) loss_lansim: 0.0277 (0.0377) loss_contra: 0.0006 (0.0021) time: 2.7140 data: 0.0054 max mem: 31630 Epoch: [27] [2390/5278] eta: 2:10:12 lr: 1.761171020965795e-05 loss: 0.0455 (0.0512) loss_seg: 0.0452 (0.0508) loss_lansim: 0.0275 (0.0376) loss_contra: 0.0008 (0.0021) time: 2.7121 data: 0.0054 max mem: 31630 Epoch: [27] [2400/5278] eta: 2:09:45 lr: 1.7609316681900108e-05 loss: 0.0459 (0.0512) loss_seg: 0.0456 (0.0508) loss_lansim: 0.0279 (0.0376) loss_contra: 0.0006 (0.0022) time: 2.7105 data: 0.0054 max mem: 31630 Epoch: [27] [2410/5278] eta: 2:09:18 lr: 1.7606923117993074e-05 loss: 0.0466 (0.0512) loss_seg: 0.0463 (0.0508) loss_lansim: 0.0276 (0.0375) loss_contra: 0.0006 (0.0022) time: 2.7142 data: 0.0054 max mem: 31630 Epoch: [27] [2420/5278] eta: 2:08:51 lr: 1.7604529517930852e-05 loss: 0.0459 (0.0512) loss_seg: 0.0456 (0.0508) loss_lansim: 0.0274 (0.0375) loss_contra: 0.0007 (0.0022) time: 2.7142 data: 0.0054 max mem: 31630 Epoch: [27] [2430/5278] eta: 2:08:25 lr: 1.7602135881707428e-05 loss: 0.0455 (0.0512) loss_seg: 0.0452 (0.0508) loss_lansim: 0.0272 (0.0375) loss_contra: 0.0006 (0.0022) time: 2.7171 data: 0.0054 max mem: 31630 Epoch: [27] [2440/5278] eta: 2:07:57 lr: 1.759974220931681e-05 loss: 0.0446 (0.0512) loss_seg: 0.0443 (0.0508) loss_lansim: 0.0269 (0.0374) loss_contra: 0.0006 (0.0022) time: 2.7144 data: 0.0054 max mem: 31630 Epoch: [27] [2450/5278] eta: 2:07:31 lr: 1.7597348500752963e-05 loss: 0.0442 (0.0512) loss_seg: 0.0439 (0.0508) loss_lansim: 0.0269 (0.0374) loss_contra: 0.0005 (0.0022) time: 2.7167 data: 0.0054 max mem: 31630 Epoch: [27] [2460/5278] eta: 2:07:04 lr: 1.759495475600988e-05 loss: 0.0432 (0.0511) loss_seg: 0.0428 (0.0507) loss_lansim: 0.0269 (0.0373) loss_contra: 0.0004 (0.0022) time: 2.7169 data: 0.0053 max mem: 31630 Epoch: [27] [2470/5278] eta: 2:06:37 lr: 1.7592560975081546e-05 loss: 0.0437 (0.0511) loss_seg: 0.0434 (0.0507) loss_lansim: 0.0268 (0.0373) loss_contra: 0.0004 (0.0022) time: 2.7154 data: 0.0053 max mem: 31630 Epoch: [27] [2480/5278] eta: 2:06:10 lr: 1.7590167157961954e-05 loss: 0.0446 (0.0512) loss_seg: 0.0443 (0.0508) loss_lansim: 0.0271 (0.0373) loss_contra: 0.0004 (0.0022) time: 2.7147 data: 0.0052 max mem: 31630 Epoch: [27] [2490/5278] eta: 2:05:43 lr: 1.7587773304645067e-05 loss: 0.0446 (0.0511) loss_seg: 0.0443 (0.0508) loss_lansim: 0.0277 (0.0372) loss_contra: 0.0004 (0.0022) time: 2.7156 data: 0.0052 max mem: 31630 Epoch: [27] [2500/5278] eta: 2:05:16 lr: 1.758537941512487e-05 loss: 0.0446 (0.0512) loss_seg: 0.0443 (0.0508) loss_lansim: 0.0280 (0.0372) loss_contra: 0.0005 (0.0023) time: 2.7145 data: 0.0052 max mem: 31630 Epoch: [27] [2510/5278] eta: 2:04:49 lr: 1.758298548939534e-05 loss: 0.0436 (0.0511) loss_seg: 0.0432 (0.0507) loss_lansim: 0.0282 (0.0372) loss_contra: 0.0005 (0.0023) time: 2.7138 data: 0.0052 max mem: 31630 Epoch: [27] [2520/5278] eta: 2:04:22 lr: 1.7580591527450453e-05 loss: 0.0455 (0.0512) loss_seg: 0.0450 (0.0508) loss_lansim: 0.0288 (0.0372) loss_contra: 0.0004 (0.0022) time: 2.7159 data: 0.0052 max mem: 31630 Epoch: [27] [2530/5278] eta: 2:03:55 lr: 1.7578197529284182e-05 loss: 0.0446 (0.0512) loss_seg: 0.0443 (0.0508) loss_lansim: 0.0291 (0.0372) loss_contra: 0.0004 (0.0023) time: 2.7162 data: 0.0052 max mem: 31630 Epoch: [27] [2540/5278] eta: 2:03:28 lr: 1.7575803494890492e-05 loss: 0.0446 (0.0512) loss_seg: 0.0443 (0.0508) loss_lansim: 0.0291 (0.0371) loss_contra: 0.0004 (0.0023) time: 2.7178 data: 0.0052 max mem: 31630 Epoch: [27] [2550/5278] eta: 2:03:02 lr: 1.7573409424263355e-05 loss: 0.0448 (0.0512) loss_seg: 0.0445 (0.0508) loss_lansim: 0.0295 (0.0371) loss_contra: 0.0004 (0.0023) time: 2.7187 data: 0.0052 max mem: 31630 Epoch: [27] [2560/5278] eta: 2:02:34 lr: 1.7571015317396743e-05 loss: 0.0456 (0.0512) loss_seg: 0.0453 (0.0508) loss_lansim: 0.0298 (0.0371) loss_contra: 0.0003 (0.0023) time: 2.7163 data: 0.0052 max mem: 31630 Epoch: [27] [2570/5278] eta: 2:02:07 lr: 1.7568621174284612e-05 loss: 0.0460 (0.0512) loss_seg: 0.0456 (0.0508) loss_lansim: 0.0304 (0.0371) loss_contra: 0.0003 (0.0024) time: 2.7169 data: 0.0052 max mem: 31630 Epoch: [27] [2580/5278] eta: 2:01:40 lr: 1.7566226994920928e-05 loss: 0.0437 (0.0512) loss_seg: 0.0435 (0.0508) loss_lansim: 0.0306 (0.0370) loss_contra: 0.0003 (0.0024) time: 2.7137 data: 0.0053 max mem: 31630 Epoch: [27] [2590/5278] eta: 2:01:13 lr: 1.7563832779299656e-05 loss: 0.0437 (0.0512) loss_seg: 0.0435 (0.0508) loss_lansim: 0.0305 (0.0370) loss_contra: 0.0002 (0.0024) time: 2.7150 data: 0.0053 max mem: 31630 Epoch: [27] [2600/5278] eta: 2:00:46 lr: 1.756143852741475e-05 loss: 0.0437 (0.0512) loss_seg: 0.0435 (0.0508) loss_lansim: 0.0306 (0.0370) loss_contra: 0.0002 (0.0024) time: 2.7126 data: 0.0053 max mem: 31630 Epoch: [27] [2610/5278] eta: 2:00:19 lr: 1.7559044239260176e-05 loss: 0.0459 (0.0512) loss_seg: 0.0455 (0.0508) loss_lansim: 0.0306 (0.0370) loss_contra: 0.0002 (0.0024) time: 2.7132 data: 0.0053 max mem: 31630 Epoch: [27] [2620/5278] eta: 1:59:52 lr: 1.7556649914829872e-05 loss: 0.0437 (0.0512) loss_seg: 0.0435 (0.0508) loss_lansim: 0.0308 (0.0370) loss_contra: 0.0002 (0.0024) time: 2.7085 data: 0.0053 max mem: 31630 Epoch: [27] [2630/5278] eta: 1:59:25 lr: 1.7554255554117806e-05 loss: 0.0464 (0.0512) loss_seg: 0.0457 (0.0508) loss_lansim: 0.0306 (0.0369) loss_contra: 0.0003 (0.0024) time: 2.7083 data: 0.0053 max mem: 31630 Epoch: [27] [2640/5278] eta: 1:58:58 lr: 1.7551861157117927e-05 loss: 0.0476 (0.0513) loss_seg: 0.0473 (0.0509) loss_lansim: 0.0313 (0.0369) loss_contra: 0.0003 (0.0024) time: 2.7095 data: 0.0055 max mem: 31630 Epoch: [27] [2650/5278] eta: 1:58:31 lr: 1.7549466723824188e-05 loss: 0.0476 (0.0512) loss_seg: 0.0473 (0.0508) loss_lansim: 0.0314 (0.0369) loss_contra: 0.0003 (0.0025) time: 2.7070 data: 0.0056 max mem: 31630 Epoch: [27] [2660/5278] eta: 1:58:04 lr: 1.7547072254230526e-05 loss: 0.0480 (0.0512) loss_seg: 0.0476 (0.0508) loss_lansim: 0.0316 (0.0369) loss_contra: 0.0004 (0.0025) time: 2.7083 data: 0.0056 max mem: 31630 Epoch: [27] [2670/5278] eta: 1:57:37 lr: 1.754467774833089e-05 loss: 0.0482 (0.0512) loss_seg: 0.0479 (0.0508) loss_lansim: 0.0316 (0.0369) loss_contra: 0.0005 (0.0025) time: 2.7106 data: 0.0055 max mem: 31630 Epoch: [27] [2680/5278] eta: 1:57:10 lr: 1.7542283206119227e-05 loss: 0.0483 (0.0512) loss_seg: 0.0480 (0.0508) loss_lansim: 0.0317 (0.0369) loss_contra: 0.0004 (0.0025) time: 2.7134 data: 0.0055 max mem: 31630 Epoch: [27] [2690/5278] eta: 1:56:43 lr: 1.7539888627589484e-05 loss: 0.0482 (0.0512) loss_seg: 0.0479 (0.0508) loss_lansim: 0.0318 (0.0368) loss_contra: 0.0004 (0.0025) time: 2.7105 data: 0.0055 max mem: 31630 Epoch: [27] [2700/5278] eta: 1:56:16 lr: 1.753749401273559e-05 loss: 0.0482 (0.0512) loss_seg: 0.0479 (0.0508) loss_lansim: 0.0322 (0.0368) loss_contra: 0.0003 (0.0025) time: 2.7139 data: 0.0055 max mem: 31630 Epoch: [27] [2710/5278] eta: 1:55:49 lr: 1.7535099361551485e-05 loss: 0.0482 (0.0512) loss_seg: 0.0479 (0.0508) loss_lansim: 0.0323 (0.0368) loss_contra: 0.0004 (0.0025) time: 2.7081 data: 0.0055 max mem: 31630 Epoch: [27] [2720/5278] eta: 1:55:22 lr: 1.753270467403111e-05 loss: 0.0482 (0.0512) loss_seg: 0.0479 (0.0508) loss_lansim: 0.0325 (0.0368) loss_contra: 0.0004 (0.0025) time: 2.7106 data: 0.0055 max mem: 31630 Epoch: [27] [2730/5278] eta: 1:54:55 lr: 1.75303099501684e-05 loss: 0.0462 (0.0512) loss_seg: 0.0458 (0.0508) loss_lansim: 0.0332 (0.0368) loss_contra: 0.0004 (0.0025) time: 2.7095 data: 0.0055 max mem: 31630 Epoch: [27] [2740/5278] eta: 1:54:27 lr: 1.7527915189957282e-05 loss: 0.0462 (0.0512) loss_seg: 0.0458 (0.0508) loss_lansim: 0.0338 (0.0368) loss_contra: 0.0003 (0.0025) time: 2.7049 data: 0.0053 max mem: 31630 Epoch: [27] [2750/5278] eta: 1:54:00 lr: 1.7525520393391684e-05 loss: 0.0451 (0.0512) loss_seg: 0.0448 (0.0508) loss_lansim: 0.0338 (0.0368) loss_contra: 0.0003 (0.0025) time: 2.7066 data: 0.0052 max mem: 31630 Epoch: [27] [2760/5278] eta: 1:53:33 lr: 1.752312556046554e-05 loss: 0.0449 (0.0512) loss_seg: 0.0445 (0.0508) loss_lansim: 0.0339 (0.0368) loss_contra: 0.0003 (0.0025) time: 2.7038 data: 0.0052 max mem: 31630 Epoch: [27] [2770/5278] eta: 1:53:06 lr: 1.7520730691172778e-05 loss: 0.0443 (0.0512) loss_seg: 0.0440 (0.0508) loss_lansim: 0.0342 (0.0368) loss_contra: 0.0002 (0.0025) time: 2.7032 data: 0.0052 max mem: 31630 Epoch: [27] [2780/5278] eta: 1:52:39 lr: 1.7518335785507314e-05 loss: 0.0443 (0.0512) loss_seg: 0.0440 (0.0508) loss_lansim: 0.0344 (0.0368) loss_contra: 0.0003 (0.0025) time: 2.6978 data: 0.0052 max mem: 31630 Epoch: [27] [2790/5278] eta: 1:52:12 lr: 1.751594084346308e-05 loss: 0.0443 (0.0512) loss_seg: 0.0440 (0.0508) loss_lansim: 0.0346 (0.0368) loss_contra: 0.0003 (0.0025) time: 2.6981 data: 0.0052 max mem: 31630 Epoch: [27] [2800/5278] eta: 1:51:45 lr: 1.7513545865033987e-05 loss: 0.0443 (0.0511) loss_seg: 0.0439 (0.0508) loss_lansim: 0.0349 (0.0368) loss_contra: 0.0003 (0.0025) time: 2.6954 data: 0.0052 max mem: 31630 Epoch: [27] [2810/5278] eta: 1:51:17 lr: 1.7511150850213965e-05 loss: 0.0440 (0.0511) loss_seg: 0.0436 (0.0507) loss_lansim: 0.0349 (0.0368) loss_contra: 0.0002 (0.0025) time: 2.6984 data: 0.0052 max mem: 31630 Epoch: [27] [2820/5278] eta: 1:50:50 lr: 1.750875579899692e-05 loss: 0.0442 (0.0511) loss_seg: 0.0437 (0.0507) loss_lansim: 0.0349 (0.0368) loss_contra: 0.0002 (0.0025) time: 2.6959 data: 0.0052 max mem: 31630 Epoch: [27] [2830/5278] eta: 1:50:23 lr: 1.750636071137677e-05 loss: 0.0439 (0.0511) loss_seg: 0.0434 (0.0507) loss_lansim: 0.0349 (0.0368) loss_contra: 0.0003 (0.0025) time: 2.6948 data: 0.0052 max mem: 31630 Epoch: [27] [2840/5278] eta: 1:49:56 lr: 1.750396558734743e-05 loss: 0.0439 (0.0511) loss_seg: 0.0434 (0.0507) loss_lansim: 0.0352 (0.0368) loss_contra: 0.0003 (0.0025) time: 2.7001 data: 0.0052 max mem: 31630 Epoch: [27] [2850/5278] eta: 1:49:29 lr: 1.750157042690281e-05 loss: 0.0440 (0.0511) loss_seg: 0.0436 (0.0507) loss_lansim: 0.0355 (0.0368) loss_contra: 0.0003 (0.0025) time: 2.6952 data: 0.0052 max mem: 31630 Epoch: [27] [2860/5278] eta: 1:49:02 lr: 1.749917523003682e-05 loss: 0.0441 (0.0511) loss_seg: 0.0436 (0.0507) loss_lansim: 0.0360 (0.0368) loss_contra: 0.0002 (0.0025) time: 2.7001 data: 0.0052 max mem: 31630 Epoch: [27] [2870/5278] eta: 1:48:35 lr: 1.7496779996743362e-05 loss: 0.0449 (0.0512) loss_seg: 0.0444 (0.0508) loss_lansim: 0.0361 (0.0368) loss_contra: 0.0002 (0.0025) time: 2.6956 data: 0.0052 max mem: 31630 Epoch: [27] [2880/5278] eta: 1:48:08 lr: 1.7494384727016343e-05 loss: 0.0458 (0.0512) loss_seg: 0.0454 (0.0508) loss_lansim: 0.0360 (0.0368) loss_contra: 0.0002 (0.0025) time: 2.7026 data: 0.0053 max mem: 31630 Epoch: [27] [2890/5278] eta: 1:47:41 lr: 1.749198942084967e-05 loss: 0.0458 (0.0512) loss_seg: 0.0454 (0.0508) loss_lansim: 0.0363 (0.0368) loss_contra: 0.0002 (0.0025) time: 2.7047 data: 0.0053 max mem: 31630 Epoch: [27] [2900/5278] eta: 1:47:14 lr: 1.7489594078237245e-05 loss: 0.0464 (0.0512) loss_seg: 0.0459 (0.0508) loss_lansim: 0.0364 (0.0368) loss_contra: 0.0002 (0.0025) time: 2.7067 data: 0.0054 max mem: 31630 Epoch: [27] [2910/5278] eta: 1:46:47 lr: 1.7487198699172957e-05 loss: 0.0478 (0.0512) loss_seg: 0.0474 (0.0508) loss_lansim: 0.0367 (0.0368) loss_contra: 0.0002 (0.0025) time: 2.7077 data: 0.0055 max mem: 31630 Epoch: [27] [2920/5278] eta: 1:46:20 lr: 1.748480328365071e-05 loss: 0.0464 (0.0512) loss_seg: 0.0459 (0.0508) loss_lansim: 0.0368 (0.0368) loss_contra: 0.0002 (0.0025) time: 2.7125 data: 0.0056 max mem: 31630 Epoch: [27] [2930/5278] eta: 1:45:53 lr: 1.74824078316644e-05 loss: 0.0472 (0.0511) loss_seg: 0.0467 (0.0508) loss_lansim: 0.0369 (0.0368) loss_contra: 0.0002 (0.0025) time: 2.7167 data: 0.0057 max mem: 31630 Epoch: [27] [2940/5278] eta: 1:45:26 lr: 1.7480012343207926e-05 loss: 0.0471 (0.0511) loss_seg: 0.0467 (0.0507) loss_lansim: 0.0369 (0.0368) loss_contra: 0.0001 (0.0025) time: 2.7148 data: 0.0057 max mem: 31630 Epoch: [27] [2950/5278] eta: 1:45:00 lr: 1.7477616818275166e-05 loss: 0.0466 (0.0512) loss_seg: 0.0463 (0.0508) loss_lansim: 0.0369 (0.0368) loss_contra: 0.0001 (0.0025) time: 2.7221 data: 0.0057 max mem: 31630 Epoch: [27] [2960/5278] eta: 1:44:32 lr: 1.7475221256860013e-05 loss: 0.0480 (0.0512) loss_seg: 0.0477 (0.0508) loss_lansim: 0.0369 (0.0368) loss_contra: 0.0001 (0.0025) time: 2.7182 data: 0.0058 max mem: 31630 Epoch: [27] [2970/5278] eta: 1:44:06 lr: 1.747282565895636e-05 loss: 0.0459 (0.0512) loss_seg: 0.0454 (0.0508) loss_lansim: 0.0372 (0.0368) loss_contra: 0.0001 (0.0025) time: 2.7238 data: 0.0058 max mem: 31630 Epoch: [27] [2980/5278] eta: 1:43:38 lr: 1.7470430024558097e-05 loss: 0.0449 (0.0512) loss_seg: 0.0446 (0.0508) loss_lansim: 0.0376 (0.0368) loss_contra: 0.0001 (0.0025) time: 2.7197 data: 0.0058 max mem: 31630 Epoch: [27] [2990/5278] eta: 1:43:12 lr: 1.746803435365909e-05 loss: 0.0452 (0.0512) loss_seg: 0.0448 (0.0508) loss_lansim: 0.0378 (0.0368) loss_contra: 0.0001 (0.0025) time: 2.7218 data: 0.0058 max mem: 31630 Epoch: [27] [3000/5278] eta: 1:42:44 lr: 1.7465638646253235e-05 loss: 0.0450 (0.0512) loss_seg: 0.0447 (0.0508) loss_lansim: 0.0378 (0.0369) loss_contra: 0.0002 (0.0025) time: 2.7190 data: 0.0057 max mem: 31630 Epoch: [27] [3010/5278] eta: 1:42:18 lr: 1.7463242902334408e-05 loss: 0.0449 (0.0512) loss_seg: 0.0446 (0.0508) loss_lansim: 0.0376 (0.0369) loss_contra: 0.0002 (0.0025) time: 2.7221 data: 0.0055 max mem: 31630 Epoch: [27] [3020/5278] eta: 1:41:50 lr: 1.7460847121896487e-05 loss: 0.0459 (0.0512) loss_seg: 0.0456 (0.0508) loss_lansim: 0.0378 (0.0369) loss_contra: 0.0002 (0.0025) time: 2.7149 data: 0.0054 max mem: 31630 Epoch: [27] [3030/5278] eta: 1:41:23 lr: 1.7458451304933343e-05 loss: 0.0462 (0.0512) loss_seg: 0.0458 (0.0508) loss_lansim: 0.0382 (0.0369) loss_contra: 0.0003 (0.0025) time: 2.7116 data: 0.0053 max mem: 31630 Epoch: [27] [3040/5278] eta: 1:40:56 lr: 1.7456055451438854e-05 loss: 0.0462 (0.0512) loss_seg: 0.0458 (0.0508) loss_lansim: 0.0388 (0.0369) loss_contra: 0.0003 (0.0025) time: 2.7105 data: 0.0053 max mem: 31630 Epoch: [27] [3050/5278] eta: 1:40:29 lr: 1.745365956140689e-05 loss: 0.0464 (0.0512) loss_seg: 0.0461 (0.0508) loss_lansim: 0.0389 (0.0369) loss_contra: 0.0002 (0.0025) time: 2.7042 data: 0.0053 max mem: 31630 Epoch: [27] [3060/5278] eta: 1:40:02 lr: 1.745126363483133e-05 loss: 0.0461 (0.0513) loss_seg: 0.0457 (0.0509) loss_lansim: 0.0391 (0.0369) loss_contra: 0.0003 (0.0025) time: 2.7087 data: 0.0052 max mem: 31630 Epoch: [27] [3070/5278] eta: 1:39:35 lr: 1.7448867671706026e-05 loss: 0.0475 (0.0513) loss_seg: 0.0471 (0.0509) loss_lansim: 0.0391 (0.0369) loss_contra: 0.0003 (0.0025) time: 2.7028 data: 0.0052 max mem: 31630 Epoch: [27] [3080/5278] eta: 1:39:08 lr: 1.744647167202485e-05 loss: 0.0487 (0.0513) loss_seg: 0.0483 (0.0509) loss_lansim: 0.0391 (0.0369) loss_contra: 0.0003 (0.0025) time: 2.7084 data: 0.0052 max mem: 31630 Epoch: [27] [3090/5278] eta: 1:38:41 lr: 1.7444075635781673e-05 loss: 0.0486 (0.0513) loss_seg: 0.0482 (0.0509) loss_lansim: 0.0393 (0.0369) loss_contra: 0.0002 (0.0025) time: 2.7033 data: 0.0052 max mem: 31630 Epoch: [27] [3100/5278] eta: 1:38:14 lr: 1.7441679562970347e-05 loss: 0.0499 (0.0513) loss_seg: 0.0493 (0.0509) loss_lansim: 0.0395 (0.0370) loss_contra: 0.0002 (0.0025) time: 2.7082 data: 0.0052 max mem: 31630 Epoch: [27] [3110/5278] eta: 1:37:47 lr: 1.7439283453584745e-05 loss: 0.0501 (0.0513) loss_seg: 0.0497 (0.0509) loss_lansim: 0.0395 (0.0370) loss_contra: 0.0002 (0.0025) time: 2.7040 data: 0.0052 max mem: 31630 Epoch: [27] [3120/5278] eta: 1:37:20 lr: 1.7436887307618707e-05 loss: 0.0499 (0.0513) loss_seg: 0.0493 (0.0509) loss_lansim: 0.0397 (0.0370) loss_contra: 0.0002 (0.0025) time: 2.7066 data: 0.0052 max mem: 31630 Epoch: [27] [3130/5278] eta: 1:36:53 lr: 1.74344911250661e-05 loss: 0.0501 (0.0513) loss_seg: 0.0497 (0.0509) loss_lansim: 0.0395 (0.0370) loss_contra: 0.0002 (0.0025) time: 2.7088 data: 0.0052 max mem: 31630 Epoch: [27] [3140/5278] eta: 1:36:26 lr: 1.7432094905920777e-05 loss: 0.0491 (0.0513) loss_seg: 0.0486 (0.0509) loss_lansim: 0.0395 (0.0370) loss_contra: 0.0002 (0.0025) time: 2.7078 data: 0.0052 max mem: 31630 Epoch: [27] [3150/5278] eta: 1:35:58 lr: 1.7429698650176596e-05 loss: 0.0487 (0.0513) loss_seg: 0.0483 (0.0509) loss_lansim: 0.0395 (0.0370) loss_contra: 0.0002 (0.0025) time: 2.7094 data: 0.0052 max mem: 31630 Epoch: [27] [3160/5278] eta: 1:35:31 lr: 1.7427302357827395e-05 loss: 0.0487 (0.0513) loss_seg: 0.0483 (0.0509) loss_lansim: 0.0393 (0.0370) loss_contra: 0.0002 (0.0025) time: 2.7068 data: 0.0052 max mem: 31630 Epoch: [27] [3170/5278] eta: 1:35:04 lr: 1.7424906028867025e-05 loss: 0.0475 (0.0513) loss_seg: 0.0471 (0.0509) loss_lansim: 0.0398 (0.0370) loss_contra: 0.0002 (0.0025) time: 2.7075 data: 0.0052 max mem: 31630 Epoch: [27] [3180/5278] eta: 1:34:37 lr: 1.742250966328934e-05 loss: 0.0475 (0.0513) loss_seg: 0.0471 (0.0509) loss_lansim: 0.0397 (0.0370) loss_contra: 0.0002 (0.0025) time: 2.7041 data: 0.0052 max mem: 31630 Epoch: [27] [3190/5278] eta: 1:34:10 lr: 1.7420113261088177e-05 loss: 0.0460 (0.0513) loss_seg: 0.0455 (0.0509) loss_lansim: 0.0392 (0.0370) loss_contra: 0.0002 (0.0025) time: 2.7042 data: 0.0052 max mem: 31630 Epoch: [27] [3200/5278] eta: 1:33:43 lr: 1.741771682225738e-05 loss: 0.0455 (0.0513) loss_seg: 0.0451 (0.0509) loss_lansim: 0.0384 (0.0370) loss_contra: 0.0002 (0.0024) time: 2.6994 data: 0.0052 max mem: 31630 Epoch: [27] [3210/5278] eta: 1:33:16 lr: 1.741532034679079e-05 loss: 0.0436 (0.0512) loss_seg: 0.0431 (0.0508) loss_lansim: 0.0388 (0.0370) loss_contra: 0.0002 (0.0024) time: 2.7023 data: 0.0053 max mem: 31630 Epoch: [27] [3220/5278] eta: 1:32:49 lr: 1.7412923834682245e-05 loss: 0.0426 (0.0512) loss_seg: 0.0422 (0.0508) loss_lansim: 0.0384 (0.0371) loss_contra: 0.0002 (0.0024) time: 2.7010 data: 0.0054 max mem: 31630 Epoch: [27] [3230/5278] eta: 1:32:21 lr: 1.7410527285925583e-05 loss: 0.0427 (0.0512) loss_seg: 0.0423 (0.0508) loss_lansim: 0.0384 (0.0371) loss_contra: 0.0002 (0.0024) time: 2.6949 data: 0.0054 max mem: 31630 Epoch: [27] [3240/5278] eta: 1:31:54 lr: 1.7408130700514634e-05 loss: 0.0428 (0.0512) loss_seg: 0.0424 (0.0508) loss_lansim: 0.0384 (0.0371) loss_contra: 0.0002 (0.0024) time: 2.6955 data: 0.0055 max mem: 31630 Epoch: [27] [3250/5278] eta: 1:31:27 lr: 1.7405734078443228e-05 loss: 0.0428 (0.0512) loss_seg: 0.0424 (0.0508) loss_lansim: 0.0388 (0.0371) loss_contra: 0.0002 (0.0024) time: 2.6937 data: 0.0055 max mem: 31630 Epoch: [27] [3260/5278] eta: 1:31:00 lr: 1.7403337419705203e-05 loss: 0.0428 (0.0511) loss_seg: 0.0424 (0.0507) loss_lansim: 0.0392 (0.0371) loss_contra: 0.0002 (0.0024) time: 2.6907 data: 0.0055 max mem: 31630 Epoch: [27] [3270/5278] eta: 1:30:33 lr: 1.7400940724294394e-05 loss: 0.0428 (0.0511) loss_seg: 0.0424 (0.0507) loss_lansim: 0.0387 (0.0371) loss_contra: 0.0002 (0.0024) time: 2.6915 data: 0.0056 max mem: 31630 Epoch: [27] [3280/5278] eta: 1:30:06 lr: 1.7398543992204607e-05 loss: 0.0427 (0.0511) loss_seg: 0.0423 (0.0507) loss_lansim: 0.0388 (0.0371) loss_contra: 0.0001 (0.0024) time: 2.6909 data: 0.0056 max mem: 31630 Epoch: [27] [3290/5278] eta: 1:29:39 lr: 1.739614722342968e-05 loss: 0.0428 (0.0511) loss_seg: 0.0424 (0.0507) loss_lansim: 0.0392 (0.0371) loss_contra: 0.0001 (0.0024) time: 2.6914 data: 0.0056 max mem: 31630 Epoch: [27] [3300/5278] eta: 1:29:12 lr: 1.7393750417963427e-05 loss: 0.0427 (0.0511) loss_seg: 0.0423 (0.0507) loss_lansim: 0.0392 (0.0371) loss_contra: 0.0001 (0.0024) time: 2.6978 data: 0.0056 max mem: 31630 Epoch: [27] [3310/5278] eta: 1:28:45 lr: 1.7391353575799685e-05 loss: 0.0428 (0.0511) loss_seg: 0.0424 (0.0507) loss_lansim: 0.0392 (0.0371) loss_contra: 0.0001 (0.0024) time: 2.6935 data: 0.0055 max mem: 31630 Epoch: [27] [3320/5278] eta: 1:28:18 lr: 1.7388956696932253e-05 loss: 0.0436 (0.0511) loss_seg: 0.0429 (0.0507) loss_lansim: 0.0388 (0.0371) loss_contra: 0.0001 (0.0024) time: 2.6998 data: 0.0054 max mem: 31630 Epoch: [27] [3330/5278] eta: 1:27:51 lr: 1.738655978135496e-05 loss: 0.0439 (0.0511) loss_seg: 0.0435 (0.0507) loss_lansim: 0.0391 (0.0371) loss_contra: 0.0001 (0.0024) time: 2.7036 data: 0.0054 max mem: 31630 Epoch: [27] [3340/5278] eta: 1:27:23 lr: 1.7384162829061613e-05 loss: 0.0438 (0.0511) loss_seg: 0.0433 (0.0507) loss_lansim: 0.0395 (0.0372) loss_contra: 0.0001 (0.0024) time: 2.7023 data: 0.0054 max mem: 31630 Epoch: [27] [3350/5278] eta: 1:26:56 lr: 1.7381765840046028e-05 loss: 0.0438 (0.0511) loss_seg: 0.0433 (0.0507) loss_lansim: 0.0395 (0.0372) loss_contra: 0.0001 (0.0024) time: 2.7046 data: 0.0054 max mem: 31630 Epoch: [27] [3360/5278] eta: 1:26:29 lr: 1.737936881430202e-05 loss: 0.0458 (0.0511) loss_seg: 0.0453 (0.0507) loss_lansim: 0.0395 (0.0372) loss_contra: 0.0001 (0.0024) time: 2.7066 data: 0.0054 max mem: 31630 Epoch: [27] [3370/5278] eta: 1:26:02 lr: 1.737697175182339e-05 loss: 0.0458 (0.0511) loss_seg: 0.0454 (0.0507) loss_lansim: 0.0390 (0.0372) loss_contra: 0.0001 (0.0024) time: 2.7055 data: 0.0054 max mem: 31630 Epoch: [27] [3380/5278] eta: 1:25:35 lr: 1.737457465260394e-05 loss: 0.0458 (0.0511) loss_seg: 0.0453 (0.0507) loss_lansim: 0.0389 (0.0372) loss_contra: 0.0002 (0.0024) time: 2.7047 data: 0.0054 max mem: 31630 Epoch: [27] [3390/5278] eta: 1:25:08 lr: 1.7372177516637487e-05 loss: 0.0458 (0.0511) loss_seg: 0.0453 (0.0507) loss_lansim: 0.0389 (0.0372) loss_contra: 0.0002 (0.0024) time: 2.7026 data: 0.0054 max mem: 31630 Epoch: [27] [3400/5278] eta: 1:24:41 lr: 1.7369780343917833e-05 loss: 0.0457 (0.0510) loss_seg: 0.0453 (0.0506) loss_lansim: 0.0389 (0.0372) loss_contra: 0.0002 (0.0024) time: 2.7017 data: 0.0054 max mem: 31630 Epoch: [27] [3410/5278] eta: 1:24:14 lr: 1.7367383134438768e-05 loss: 0.0457 (0.0510) loss_seg: 0.0453 (0.0506) loss_lansim: 0.0389 (0.0372) loss_contra: 0.0002 (0.0024) time: 2.7051 data: 0.0055 max mem: 31630 Epoch: [27] [3420/5278] eta: 1:23:47 lr: 1.7364985888194093e-05 loss: 0.0453 (0.0510) loss_seg: 0.0448 (0.0506) loss_lansim: 0.0388 (0.0372) loss_contra: 0.0002 (0.0024) time: 2.7006 data: 0.0056 max mem: 31630 Epoch: [27] [3430/5278] eta: 1:23:20 lr: 1.736258860517761e-05 loss: 0.0443 (0.0510) loss_seg: 0.0440 (0.0506) loss_lansim: 0.0386 (0.0372) loss_contra: 0.0002 (0.0024) time: 2.7023 data: 0.0056 max mem: 31630 Epoch: [27] [3440/5278] eta: 1:22:53 lr: 1.736019128538312e-05 loss: 0.0456 (0.0510) loss_seg: 0.0453 (0.0506) loss_lansim: 0.0383 (0.0372) loss_contra: 0.0002 (0.0024) time: 2.7024 data: 0.0056 max mem: 31630 Epoch: [27] [3450/5278] eta: 1:22:26 lr: 1.7357793928804396e-05 loss: 0.0452 (0.0510) loss_seg: 0.0448 (0.0506) loss_lansim: 0.0380 (0.0372) loss_contra: 0.0002 (0.0024) time: 2.7040 data: 0.0055 max mem: 31630 Epoch: [27] [3460/5278] eta: 1:21:59 lr: 1.735539653543524e-05 loss: 0.0452 (0.0510) loss_seg: 0.0448 (0.0506) loss_lansim: 0.0379 (0.0372) loss_contra: 0.0002 (0.0024) time: 2.7047 data: 0.0055 max mem: 31630 Epoch: [27] [3470/5278] eta: 1:21:32 lr: 1.735299910526944e-05 loss: 0.0448 (0.0510) loss_seg: 0.0443 (0.0506) loss_lansim: 0.0379 (0.0372) loss_contra: 0.0002 (0.0024) time: 2.7056 data: 0.0055 max mem: 31630 Epoch: [27] [3480/5278] eta: 1:21:05 lr: 1.735060163830079e-05 loss: 0.0443 (0.0510) loss_seg: 0.0440 (0.0506) loss_lansim: 0.0379 (0.0372) loss_contra: 0.0003 (0.0024) time: 2.7075 data: 0.0055 max mem: 31630 Epoch: [27] [3490/5278] eta: 1:20:37 lr: 1.7348204134523057e-05 loss: 0.0443 (0.0510) loss_seg: 0.0440 (0.0506) loss_lansim: 0.0370 (0.0372) loss_contra: 0.0003 (0.0024) time: 2.7107 data: 0.0055 max mem: 31630 Epoch: [27] [3500/5278] eta: 1:20:10 lr: 1.7345806593930035e-05 loss: 0.0452 (0.0510) loss_seg: 0.0448 (0.0506) loss_lansim: 0.0366 (0.0372) loss_contra: 0.0003 (0.0024) time: 2.7083 data: 0.0054 max mem: 31630 Epoch: [27] [3510/5278] eta: 1:19:43 lr: 1.73434090165155e-05 loss: 0.0456 (0.0510) loss_seg: 0.0453 (0.0506) loss_lansim: 0.0363 (0.0372) loss_contra: 0.0003 (0.0024) time: 2.7081 data: 0.0054 max mem: 31630 Epoch: [27] [3520/5278] eta: 1:19:17 lr: 1.7341011402273245e-05 loss: 0.0452 (0.0510) loss_seg: 0.0448 (0.0506) loss_lansim: 0.0362 (0.0372) loss_contra: 0.0002 (0.0024) time: 2.7130 data: 0.0053 max mem: 31630 Epoch: [27] [3530/5278] eta: 1:18:50 lr: 1.7338613751197023e-05 loss: 0.0459 (0.0510) loss_seg: 0.0455 (0.0506) loss_lansim: 0.0360 (0.0372) loss_contra: 0.0002 (0.0024) time: 2.7126 data: 0.0053 max mem: 31630 Epoch: [27] [3540/5278] eta: 1:18:23 lr: 1.733621606328062e-05 loss: 0.0449 (0.0510) loss_seg: 0.0445 (0.0506) loss_lansim: 0.0355 (0.0372) loss_contra: 0.0002 (0.0024) time: 2.7145 data: 0.0053 max mem: 31630 Epoch: [27] [3550/5278] eta: 1:17:56 lr: 1.733381833851781e-05 loss: 0.0457 (0.0510) loss_seg: 0.0454 (0.0506) loss_lansim: 0.0353 (0.0372) loss_contra: 0.0002 (0.0024) time: 2.7139 data: 0.0053 max mem: 31630 Epoch: [27] [3560/5278] eta: 1:17:28 lr: 1.733142057690237e-05 loss: 0.0459 (0.0509) loss_seg: 0.0455 (0.0505) loss_lansim: 0.0358 (0.0372) loss_contra: 0.0002 (0.0024) time: 2.7147 data: 0.0053 max mem: 31630 Epoch: [27] [3570/5278] eta: 1:17:01 lr: 1.732902277842805e-05 loss: 0.0466 (0.0509) loss_seg: 0.0462 (0.0505) loss_lansim: 0.0351 (0.0372) loss_contra: 0.0002 (0.0024) time: 2.7143 data: 0.0053 max mem: 31630 Epoch: [27] [3580/5278] eta: 1:16:34 lr: 1.7326624943088628e-05 loss: 0.0464 (0.0509) loss_seg: 0.0460 (0.0505) loss_lansim: 0.0352 (0.0372) loss_contra: 0.0002 (0.0024) time: 2.7130 data: 0.0053 max mem: 31630 Epoch: [27] [3590/5278] eta: 1:16:07 lr: 1.732422707087787e-05 loss: 0.0459 (0.0509) loss_seg: 0.0455 (0.0505) loss_lansim: 0.0352 (0.0372) loss_contra: 0.0002 (0.0024) time: 2.7099 data: 0.0053 max mem: 31630 Epoch: [27] [3600/5278] eta: 1:15:40 lr: 1.7321829161789534e-05 loss: 0.0456 (0.0509) loss_seg: 0.0453 (0.0505) loss_lansim: 0.0355 (0.0371) loss_contra: 0.0002 (0.0024) time: 2.7105 data: 0.0053 max mem: 31630 Epoch: [27] [3610/5278] eta: 1:15:13 lr: 1.731943121581738e-05 loss: 0.0453 (0.0509) loss_seg: 0.0449 (0.0505) loss_lansim: 0.0352 (0.0371) loss_contra: 0.0002 (0.0024) time: 2.7097 data: 0.0053 max mem: 31630 Epoch: [27] [3620/5278] eta: 1:14:46 lr: 1.7317033232955173e-05 loss: 0.0455 (0.0509) loss_seg: 0.0452 (0.0505) loss_lansim: 0.0352 (0.0371) loss_contra: 0.0002 (0.0024) time: 2.7028 data: 0.0053 max mem: 31630 Epoch: [27] [3630/5278] eta: 1:14:19 lr: 1.7314635213196662e-05 loss: 0.0429 (0.0509) loss_seg: 0.0424 (0.0505) loss_lansim: 0.0355 (0.0371) loss_contra: 0.0002 (0.0024) time: 2.7018 data: 0.0054 max mem: 31630 Epoch: [27] [3640/5278] eta: 1:13:52 lr: 1.7312237156535603e-05 loss: 0.0429 (0.0509) loss_seg: 0.0424 (0.0505) loss_lansim: 0.0355 (0.0371) loss_contra: 0.0002 (0.0024) time: 2.7036 data: 0.0054 max mem: 31630 Epoch: [27] [3650/5278] eta: 1:13:25 lr: 1.7309839062965754e-05 loss: 0.0429 (0.0509) loss_seg: 0.0424 (0.0505) loss_lansim: 0.0354 (0.0371) loss_contra: 0.0002 (0.0024) time: 2.7034 data: 0.0055 max mem: 31630 Epoch: [27] [3660/5278] eta: 1:12:58 lr: 1.7307440932480854e-05 loss: 0.0420 (0.0508) loss_seg: 0.0416 (0.0504) loss_lansim: 0.0349 (0.0371) loss_contra: 0.0002 (0.0024) time: 2.7064 data: 0.0055 max mem: 31630 Epoch: [27] [3670/5278] eta: 1:12:31 lr: 1.7305042765074662e-05 loss: 0.0413 (0.0508) loss_seg: 0.0410 (0.0504) loss_lansim: 0.0354 (0.0371) loss_contra: 0.0001 (0.0024) time: 2.7074 data: 0.0055 max mem: 31630 Epoch: [27] [3680/5278] eta: 1:12:04 lr: 1.7302644560740917e-05 loss: 0.0420 (0.0509) loss_seg: 0.0416 (0.0505) loss_lansim: 0.0354 (0.0371) loss_contra: 0.0002 (0.0024) time: 2.7127 data: 0.0055 max mem: 31630 Epoch: [27] [3690/5278] eta: 1:11:37 lr: 1.730024631947337e-05 loss: 0.0418 (0.0509) loss_seg: 0.0415 (0.0505) loss_lansim: 0.0353 (0.0371) loss_contra: 0.0001 (0.0024) time: 2.7176 data: 0.0055 max mem: 31630 Epoch: [27] [3700/5278] eta: 1:11:10 lr: 1.7297848041265755e-05 loss: 0.0416 (0.0509) loss_seg: 0.0412 (0.0505) loss_lansim: 0.0349 (0.0371) loss_contra: 0.0001 (0.0024) time: 2.7180 data: 0.0055 max mem: 31630 Epoch: [27] [3710/5278] eta: 1:10:43 lr: 1.729544972611182e-05 loss: 0.0424 (0.0509) loss_seg: 0.0421 (0.0505) loss_lansim: 0.0353 (0.0371) loss_contra: 0.0001 (0.0024) time: 2.7188 data: 0.0055 max mem: 31630 Epoch: [27] [3720/5278] eta: 1:10:16 lr: 1.7293051374005295e-05 loss: 0.0418 (0.0509) loss_seg: 0.0415 (0.0505) loss_lansim: 0.0354 (0.0371) loss_contra: 0.0001 (0.0024) time: 2.7226 data: 0.0055 max mem: 31630 Epoch: [27] [3730/5278] eta: 1:09:49 lr: 1.729065298493993e-05 loss: 0.0428 (0.0509) loss_seg: 0.0424 (0.0505) loss_lansim: 0.0355 (0.0371) loss_contra: 0.0001 (0.0024) time: 2.7217 data: 0.0055 max mem: 31630 Epoch: [27] [3740/5278] eta: 1:09:22 lr: 1.728825455890944e-05 loss: 0.0432 (0.0509) loss_seg: 0.0428 (0.0505) loss_lansim: 0.0358 (0.0371) loss_contra: 0.0002 (0.0024) time: 2.7177 data: 0.0055 max mem: 31630 Epoch: [27] [3750/5278] eta: 1:08:55 lr: 1.7285856095907572e-05 loss: 0.0435 (0.0509) loss_seg: 0.0431 (0.0505) loss_lansim: 0.0360 (0.0371) loss_contra: 0.0002 (0.0024) time: 2.7181 data: 0.0055 max mem: 31630 Epoch: [27] [3760/5278] eta: 1:08:28 lr: 1.728345759592805e-05 loss: 0.0448 (0.0509) loss_seg: 0.0444 (0.0505) loss_lansim: 0.0361 (0.0371) loss_contra: 0.0002 (0.0024) time: 2.7122 data: 0.0054 max mem: 31630 Epoch: [27] [3770/5278] eta: 1:08:00 lr: 1.7281059058964604e-05 loss: 0.0448 (0.0509) loss_seg: 0.0444 (0.0505) loss_lansim: 0.0361 (0.0371) loss_contra: 0.0002 (0.0024) time: 2.7099 data: 0.0054 max mem: 31630 Epoch: [27] [3780/5278] eta: 1:07:34 lr: 1.727866048501096e-05 loss: 0.0451 (0.0509) loss_seg: 0.0448 (0.0505) loss_lansim: 0.0358 (0.0371) loss_contra: 0.0002 (0.0024) time: 2.7098 data: 0.0055 max mem: 31630 Epoch: [27] [3790/5278] eta: 1:07:07 lr: 1.7276261874060836e-05 loss: 0.0448 (0.0509) loss_seg: 0.0444 (0.0505) loss_lansim: 0.0355 (0.0371) loss_contra: 0.0002 (0.0024) time: 2.7097 data: 0.0055 max mem: 31630 Epoch: [27] [3800/5278] eta: 1:06:40 lr: 1.727386322610796e-05 loss: 0.0451 (0.0509) loss_seg: 0.0448 (0.0505) loss_lansim: 0.0360 (0.0371) loss_contra: 0.0002 (0.0024) time: 2.7125 data: 0.0055 max mem: 31630 Epoch: [27] [3810/5278] eta: 1:06:12 lr: 1.727146454114606e-05 loss: 0.0459 (0.0509) loss_seg: 0.0455 (0.0505) loss_lansim: 0.0362 (0.0371) loss_contra: 0.0002 (0.0024) time: 2.7083 data: 0.0055 max mem: 31630 Epoch: [27] [3820/5278] eta: 1:05:45 lr: 1.7269065819168838e-05 loss: 0.0467 (0.0509) loss_seg: 0.0463 (0.0506) loss_lansim: 0.0364 (0.0371) loss_contra: 0.0002 (0.0024) time: 2.7081 data: 0.0055 max mem: 31630 Epoch: [27] [3830/5278] eta: 1:05:18 lr: 1.7266667060170014e-05 loss: 0.0469 (0.0509) loss_seg: 0.0466 (0.0505) loss_lansim: 0.0364 (0.0371) loss_contra: 0.0002 (0.0023) time: 2.7078 data: 0.0054 max mem: 31630 Epoch: [27] [3840/5278] eta: 1:04:51 lr: 1.7264268264143304e-05 loss: 0.0469 (0.0510) loss_seg: 0.0465 (0.0506) loss_lansim: 0.0368 (0.0371) loss_contra: 0.0002 (0.0023) time: 2.7083 data: 0.0054 max mem: 31630 Epoch: [27] [3850/5278] eta: 1:04:24 lr: 1.7261869431082423e-05 loss: 0.0467 (0.0509) loss_seg: 0.0463 (0.0505) loss_lansim: 0.0367 (0.0371) loss_contra: 0.0001 (0.0023) time: 2.7096 data: 0.0054 max mem: 31630 Epoch: [27] [3860/5278] eta: 1:03:57 lr: 1.7259470560981082e-05 loss: 0.0469 (0.0510) loss_seg: 0.0466 (0.0506) loss_lansim: 0.0367 (0.0371) loss_contra: 0.0001 (0.0023) time: 2.7101 data: 0.0054 max mem: 31630 Epoch: [27] [3870/5278] eta: 1:03:30 lr: 1.7257071653832977e-05 loss: 0.0473 (0.0509) loss_seg: 0.0470 (0.0505) loss_lansim: 0.0367 (0.0371) loss_contra: 0.0001 (0.0023) time: 2.7144 data: 0.0054 max mem: 31630 Epoch: [27] [3880/5278] eta: 1:03:03 lr: 1.7254672709631822e-05 loss: 0.0469 (0.0509) loss_seg: 0.0466 (0.0505) loss_lansim: 0.0365 (0.0371) loss_contra: 0.0001 (0.0023) time: 2.7096 data: 0.0054 max mem: 31630 Epoch: [27] [3890/5278] eta: 1:02:36 lr: 1.725227372837132e-05 loss: 0.0469 (0.0509) loss_seg: 0.0466 (0.0505) loss_lansim: 0.0367 (0.0371) loss_contra: 0.0001 (0.0023) time: 2.7100 data: 0.0054 max mem: 31630 Epoch: [27] [3900/5278] eta: 1:02:09 lr: 1.7249874710045176e-05 loss: 0.0467 (0.0509) loss_seg: 0.0463 (0.0505) loss_lansim: 0.0363 (0.0371) loss_contra: 0.0001 (0.0023) time: 2.7049 data: 0.0054 max mem: 31630 Epoch: [27] [3910/5278] eta: 1:01:42 lr: 1.7247475654647084e-05 loss: 0.0470 (0.0509) loss_seg: 0.0466 (0.0506) loss_lansim: 0.0363 (0.0371) loss_contra: 0.0001 (0.0023) time: 2.7084 data: 0.0054 max mem: 31630 Epoch: [27] [3920/5278] eta: 1:01:15 lr: 1.724507656217074e-05 loss: 0.0471 (0.0510) loss_seg: 0.0467 (0.0506) loss_lansim: 0.0362 (0.0371) loss_contra: 0.0002 (0.0023) time: 2.7084 data: 0.0054 max mem: 31630 Epoch: [27] [3930/5278] eta: 1:00:48 lr: 1.7242677432609844e-05 loss: 0.0470 (0.0510) loss_seg: 0.0466 (0.0506) loss_lansim: 0.0360 (0.0371) loss_contra: 0.0002 (0.0023) time: 2.7068 data: 0.0054 max mem: 31630 Epoch: [27] [3940/5278] eta: 1:00:21 lr: 1.724027826595809e-05 loss: 0.0465 (0.0510) loss_seg: 0.0460 (0.0506) loss_lansim: 0.0353 (0.0371) loss_contra: 0.0001 (0.0023) time: 2.7111 data: 0.0054 max mem: 31630 Epoch: [27] [3950/5278] eta: 0:59:54 lr: 1.7237879062209165e-05 loss: 0.0470 (0.0510) loss_seg: 0.0466 (0.0506) loss_lansim: 0.0362 (0.0371) loss_contra: 0.0002 (0.0023) time: 2.7063 data: 0.0054 max mem: 31630 Epoch: [27] [3960/5278] eta: 0:59:26 lr: 1.723547982135676e-05 loss: 0.0470 (0.0510) loss_seg: 0.0466 (0.0506) loss_lansim: 0.0364 (0.0371) loss_contra: 0.0002 (0.0023) time: 2.7078 data: 0.0054 max mem: 31630 Epoch: [27] [3970/5278] eta: 0:58:59 lr: 1.7233080543394558e-05 loss: 0.0465 (0.0510) loss_seg: 0.0460 (0.0506) loss_lansim: 0.0370 (0.0371) loss_contra: 0.0002 (0.0023) time: 2.7055 data: 0.0055 max mem: 31630 Epoch: [27] [3980/5278] eta: 0:58:32 lr: 1.723068122831626e-05 loss: 0.0472 (0.0510) loss_seg: 0.0467 (0.0506) loss_lansim: 0.0380 (0.0371) loss_contra: 0.0002 (0.0023) time: 2.7054 data: 0.0054 max mem: 31630 Epoch: [27] [3990/5278] eta: 0:58:05 lr: 1.722828187611553e-05 loss: 0.0480 (0.0510) loss_seg: 0.0476 (0.0506) loss_lansim: 0.0385 (0.0371) loss_contra: 0.0002 (0.0023) time: 2.7006 data: 0.0054 max mem: 31630 Epoch: [27] [4000/5278] eta: 0:57:38 lr: 1.7225882486786055e-05 loss: 0.0480 (0.0510) loss_seg: 0.0476 (0.0506) loss_lansim: 0.0393 (0.0371) loss_contra: 0.0002 (0.0023) time: 2.7035 data: 0.0054 max mem: 31630 Epoch: [27] [4010/5278] eta: 0:57:11 lr: 1.7223483060321515e-05 loss: 0.0480 (0.0510) loss_seg: 0.0476 (0.0506) loss_lansim: 0.0396 (0.0371) loss_contra: 0.0002 (0.0023) time: 2.6992 data: 0.0054 max mem: 31630 Epoch: [27] [4020/5278] eta: 0:56:44 lr: 1.7221083596715596e-05 loss: 0.0472 (0.0510) loss_seg: 0.0467 (0.0506) loss_lansim: 0.0398 (0.0371) loss_contra: 0.0002 (0.0023) time: 2.7027 data: 0.0054 max mem: 31630 Epoch: [27] [4030/5278] eta: 0:56:17 lr: 1.721868409596196e-05 loss: 0.0472 (0.0509) loss_seg: 0.0467 (0.0506) loss_lansim: 0.0401 (0.0371) loss_contra: 0.0002 (0.0023) time: 2.7059 data: 0.0054 max mem: 31630 Epoch: [27] [4040/5278] eta: 0:55:50 lr: 1.7216284558054284e-05 loss: 0.0472 (0.0509) loss_seg: 0.0467 (0.0505) loss_lansim: 0.0403 (0.0371) loss_contra: 0.0002 (0.0023) time: 2.7044 data: 0.0054 max mem: 31630 Epoch: [27] [4050/5278] eta: 0:55:23 lr: 1.7213884982986236e-05 loss: 0.0455 (0.0509) loss_seg: 0.0451 (0.0505) loss_lansim: 0.0404 (0.0372) loss_contra: 0.0003 (0.0023) time: 2.7033 data: 0.0054 max mem: 31630 Epoch: [27] [4060/5278] eta: 0:54:56 lr: 1.7211485370751496e-05 loss: 0.0472 (0.0509) loss_seg: 0.0467 (0.0505) loss_lansim: 0.0403 (0.0372) loss_contra: 0.0003 (0.0023) time: 2.7050 data: 0.0054 max mem: 31630 Epoch: [27] [4070/5278] eta: 0:54:29 lr: 1.7209085721343714e-05 loss: 0.0465 (0.0509) loss_seg: 0.0461 (0.0505) loss_lansim: 0.0398 (0.0372) loss_contra: 0.0002 (0.0023) time: 2.7040 data: 0.0054 max mem: 31630 Epoch: [27] [4080/5278] eta: 0:54:02 lr: 1.7206686034756568e-05 loss: 0.0472 (0.0509) loss_seg: 0.0467 (0.0505) loss_lansim: 0.0398 (0.0372) loss_contra: 0.0002 (0.0023) time: 2.7076 data: 0.0053 max mem: 31630 Epoch: [27] [4090/5278] eta: 0:53:35 lr: 1.720428631098371e-05 loss: 0.0472 (0.0509) loss_seg: 0.0467 (0.0505) loss_lansim: 0.0396 (0.0372) loss_contra: 0.0003 (0.0023) time: 2.7065 data: 0.0053 max mem: 31630 Epoch: [27] [4100/5278] eta: 0:53:07 lr: 1.720188655001881e-05 loss: 0.0477 (0.0509) loss_seg: 0.0473 (0.0505) loss_lansim: 0.0394 (0.0372) loss_contra: 0.0003 (0.0023) time: 2.7042 data: 0.0053 max mem: 31630 Epoch: [27] [4110/5278] eta: 0:52:40 lr: 1.7199486751855526e-05 loss: 0.0453 (0.0509) loss_seg: 0.0449 (0.0505) loss_lansim: 0.0392 (0.0372) loss_contra: 0.0004 (0.0023) time: 2.7098 data: 0.0053 max mem: 31630 Epoch: [27] [4120/5278] eta: 0:52:14 lr: 1.7197086916487508e-05 loss: 0.0463 (0.0509) loss_seg: 0.0459 (0.0505) loss_lansim: 0.0390 (0.0372) loss_contra: 0.0004 (0.0023) time: 2.7105 data: 0.0053 max mem: 31630 Epoch: [27] [4130/5278] eta: 0:51:46 lr: 1.7194687043908407e-05 loss: 0.0467 (0.0509) loss_seg: 0.0463 (0.0505) loss_lansim: 0.0387 (0.0372) loss_contra: 0.0003 (0.0023) time: 2.7084 data: 0.0053 max mem: 31630 Epoch: [27] [4140/5278] eta: 0:51:19 lr: 1.7192287134111888e-05 loss: 0.0469 (0.0509) loss_seg: 0.0465 (0.0505) loss_lansim: 0.0386 (0.0372) loss_contra: 0.0003 (0.0023) time: 2.7103 data: 0.0053 max mem: 31630 Epoch: [27] [4150/5278] eta: 0:50:52 lr: 1.7189887187091598e-05 loss: 0.0469 (0.0509) loss_seg: 0.0465 (0.0505) loss_lansim: 0.0386 (0.0372) loss_contra: 0.0003 (0.0023) time: 2.7094 data: 0.0053 max mem: 31630 Epoch: [27] [4160/5278] eta: 0:50:25 lr: 1.7187487202841178e-05 loss: 0.0459 (0.0509) loss_seg: 0.0455 (0.0505) loss_lansim: 0.0386 (0.0372) loss_contra: 0.0003 (0.0023) time: 2.7120 data: 0.0053 max mem: 31630 Epoch: [27] [4170/5278] eta: 0:49:58 lr: 1.7185087181354274e-05 loss: 0.0461 (0.0508) loss_seg: 0.0457 (0.0505) loss_lansim: 0.0388 (0.0372) loss_contra: 0.0003 (0.0023) time: 2.7126 data: 0.0053 max mem: 31630 Epoch: [27] [4180/5278] eta: 0:49:31 lr: 1.718268712262453e-05 loss: 0.0452 (0.0508) loss_seg: 0.0448 (0.0504) loss_lansim: 0.0389 (0.0372) loss_contra: 0.0003 (0.0023) time: 2.7093 data: 0.0053 max mem: 31630 Epoch: [27] [4190/5278] eta: 0:49:04 lr: 1.7180287026645603e-05 loss: 0.0455 (0.0509) loss_seg: 0.0450 (0.0505) loss_lansim: 0.0390 (0.0372) loss_contra: 0.0003 (0.0023) time: 2.7095 data: 0.0053 max mem: 31630 Epoch: [27] [4200/5278] eta: 0:48:37 lr: 1.7177886893411113e-05 loss: 0.0449 (0.0509) loss_seg: 0.0442 (0.0505) loss_lansim: 0.0390 (0.0372) loss_contra: 0.0002 (0.0023) time: 2.7115 data: 0.0053 max mem: 31630 Epoch: [27] [4210/5278] eta: 0:48:10 lr: 1.717548672291471e-05 loss: 0.0449 (0.0508) loss_seg: 0.0442 (0.0505) loss_lansim: 0.0389 (0.0372) loss_contra: 0.0002 (0.0023) time: 2.7078 data: 0.0054 max mem: 31630 Epoch: [27] [4220/5278] eta: 0:47:43 lr: 1.717308651515002e-05 loss: 0.0454 (0.0508) loss_seg: 0.0450 (0.0505) loss_lansim: 0.0385 (0.0372) loss_contra: 0.0002 (0.0023) time: 2.7069 data: 0.0054 max mem: 31630 Epoch: [27] [4230/5278] eta: 0:47:16 lr: 1.717068627011069e-05 loss: 0.0446 (0.0508) loss_seg: 0.0442 (0.0504) loss_lansim: 0.0391 (0.0372) loss_contra: 0.0002 (0.0023) time: 2.7072 data: 0.0054 max mem: 31630 Epoch: [27] [4240/5278] eta: 0:46:49 lr: 1.7168285987790336e-05 loss: 0.0446 (0.0508) loss_seg: 0.0442 (0.0504) loss_lansim: 0.0389 (0.0372) loss_contra: 0.0002 (0.0023) time: 2.7036 data: 0.0054 max mem: 31630 Epoch: [27] [4250/5278] eta: 0:46:22 lr: 1.7165885668182598e-05 loss: 0.0438 (0.0508) loss_seg: 0.0434 (0.0504) loss_lansim: 0.0383 (0.0372) loss_contra: 0.0002 (0.0023) time: 2.7062 data: 0.0054 max mem: 31630 Epoch: [27] [4260/5278] eta: 0:45:55 lr: 1.7163485311281096e-05 loss: 0.0445 (0.0508) loss_seg: 0.0441 (0.0504) loss_lansim: 0.0383 (0.0372) loss_contra: 0.0002 (0.0023) time: 2.7061 data: 0.0054 max mem: 31630 Epoch: [27] [4270/5278] eta: 0:45:28 lr: 1.716108491707947e-05 loss: 0.0446 (0.0508) loss_seg: 0.0442 (0.0504) loss_lansim: 0.0378 (0.0372) loss_contra: 0.0002 (0.0023) time: 2.7054 data: 0.0054 max mem: 31630 Epoch: [27] [4280/5278] eta: 0:45:00 lr: 1.7158684485571322e-05 loss: 0.0459 (0.0508) loss_seg: 0.0455 (0.0504) loss_lansim: 0.0382 (0.0372) loss_contra: 0.0002 (0.0023) time: 2.7048 data: 0.0054 max mem: 31630 Epoch: [27] [4290/5278] eta: 0:44:33 lr: 1.7156284016750283e-05 loss: 0.0459 (0.0508) loss_seg: 0.0455 (0.0504) loss_lansim: 0.0382 (0.0373) loss_contra: 0.0001 (0.0023) time: 2.7079 data: 0.0054 max mem: 31630 Epoch: [27] [4300/5278] eta: 0:44:06 lr: 1.715388351060998e-05 loss: 0.0461 (0.0508) loss_seg: 0.0455 (0.0505) loss_lansim: 0.0385 (0.0373) loss_contra: 0.0001 (0.0023) time: 2.7064 data: 0.0054 max mem: 31630 Epoch: [27] [4310/5278] eta: 0:43:39 lr: 1.7151482967144022e-05 loss: 0.0466 (0.0509) loss_seg: 0.0462 (0.0505) loss_lansim: 0.0391 (0.0373) loss_contra: 0.0001 (0.0023) time: 2.7054 data: 0.0054 max mem: 31630 Epoch: [27] [4320/5278] eta: 0:43:12 lr: 1.7149082386346017e-05 loss: 0.0460 (0.0508) loss_seg: 0.0455 (0.0504) loss_lansim: 0.0391 (0.0373) loss_contra: 0.0002 (0.0023) time: 2.7024 data: 0.0053 max mem: 31630 Epoch: [27] [4330/5278] eta: 0:42:45 lr: 1.714668176820959e-05 loss: 0.0466 (0.0508) loss_seg: 0.0462 (0.0504) loss_lansim: 0.0391 (0.0373) loss_contra: 0.0002 (0.0023) time: 2.7008 data: 0.0053 max mem: 31630 Epoch: [27] [4340/5278] eta: 0:42:18 lr: 1.7144281112728348e-05 loss: 0.0459 (0.0508) loss_seg: 0.0455 (0.0504) loss_lansim: 0.0391 (0.0373) loss_contra: 0.0002 (0.0023) time: 2.7029 data: 0.0053 max mem: 31630 Epoch: [27] [4350/5278] eta: 0:41:51 lr: 1.7141880419895894e-05 loss: 0.0459 (0.0508) loss_seg: 0.0455 (0.0504) loss_lansim: 0.0393 (0.0373) loss_contra: 0.0002 (0.0023) time: 2.7021 data: 0.0053 max mem: 31630 Epoch: [27] [4360/5278] eta: 0:41:24 lr: 1.7139479689705847e-05 loss: 0.0442 (0.0508) loss_seg: 0.0438 (0.0504) loss_lansim: 0.0396 (0.0373) loss_contra: 0.0002 (0.0023) time: 2.7040 data: 0.0053 max mem: 31630 Epoch: [27] [4370/5278] eta: 0:40:57 lr: 1.71370789221518e-05 loss: 0.0432 (0.0508) loss_seg: 0.0423 (0.0504) loss_lansim: 0.0399 (0.0373) loss_contra: 0.0003 (0.0023) time: 2.7050 data: 0.0055 max mem: 31630 Epoch: [27] [4380/5278] eta: 0:40:30 lr: 1.713467811722735e-05 loss: 0.0408 (0.0508) loss_seg: 0.0403 (0.0504) loss_lansim: 0.0396 (0.0373) loss_contra: 0.0002 (0.0023) time: 2.7100 data: 0.0056 max mem: 31630 Epoch: [27] [4390/5278] eta: 0:40:03 lr: 1.7132277274926114e-05 loss: 0.0408 (0.0508) loss_seg: 0.0403 (0.0504) loss_lansim: 0.0396 (0.0373) loss_contra: 0.0003 (0.0023) time: 2.7073 data: 0.0056 max mem: 31630 Epoch: [27] [4400/5278] eta: 0:39:36 lr: 1.7129876395241685e-05 loss: 0.0414 (0.0508) loss_seg: 0.0410 (0.0504) loss_lansim: 0.0390 (0.0373) loss_contra: 0.0003 (0.0023) time: 2.7105 data: 0.0056 max mem: 31630 Epoch: [27] [4410/5278] eta: 0:39:09 lr: 1.712747547816765e-05 loss: 0.0408 (0.0508) loss_seg: 0.0403 (0.0504) loss_lansim: 0.0392 (0.0373) loss_contra: 0.0003 (0.0023) time: 2.7105 data: 0.0056 max mem: 31630 Epoch: [27] [4420/5278] eta: 0:38:42 lr: 1.7125074523697607e-05 loss: 0.0432 (0.0508) loss_seg: 0.0427 (0.0504) loss_lansim: 0.0394 (0.0373) loss_contra: 0.0003 (0.0023) time: 2.7125 data: 0.0056 max mem: 31630 Epoch: [27] [4430/5278] eta: 0:38:15 lr: 1.7122673531825154e-05 loss: 0.0433 (0.0508) loss_seg: 0.0428 (0.0504) loss_lansim: 0.0394 (0.0373) loss_contra: 0.0003 (0.0023) time: 2.7137 data: 0.0056 max mem: 31630 Epoch: [27] [4440/5278] eta: 0:37:47 lr: 1.712027250254388e-05 loss: 0.0434 (0.0508) loss_seg: 0.0430 (0.0504) loss_lansim: 0.0394 (0.0373) loss_contra: 0.0003 (0.0023) time: 2.7110 data: 0.0056 max mem: 31630 Epoch: [27] [4450/5278] eta: 0:37:20 lr: 1.7117871435847364e-05 loss: 0.0458 (0.0508) loss_seg: 0.0454 (0.0504) loss_lansim: 0.0394 (0.0373) loss_contra: 0.0003 (0.0023) time: 2.7123 data: 0.0056 max mem: 31630 Epoch: [27] [4460/5278] eta: 0:36:53 lr: 1.7115470331729195e-05 loss: 0.0458 (0.0508) loss_seg: 0.0454 (0.0504) loss_lansim: 0.0399 (0.0374) loss_contra: 0.0003 (0.0023) time: 2.7040 data: 0.0055 max mem: 31630 Epoch: [27] [4470/5278] eta: 0:36:26 lr: 1.7113069190182955e-05 loss: 0.0476 (0.0508) loss_seg: 0.0471 (0.0504) loss_lansim: 0.0409 (0.0374) loss_contra: 0.0003 (0.0024) time: 2.7060 data: 0.0053 max mem: 31630 Epoch: [27] [4480/5278] eta: 0:35:59 lr: 1.7110668011202242e-05 loss: 0.0488 (0.0508) loss_seg: 0.0484 (0.0504) loss_lansim: 0.0414 (0.0374) loss_contra: 0.0003 (0.0024) time: 2.6978 data: 0.0053 max mem: 31630 Epoch: [27] [4490/5278] eta: 0:35:32 lr: 1.710826679478061e-05 loss: 0.0488 (0.0508) loss_seg: 0.0484 (0.0504) loss_lansim: 0.0422 (0.0374) loss_contra: 0.0003 (0.0024) time: 2.7025 data: 0.0053 max mem: 31630 Epoch: [27] [4500/5278] eta: 0:35:05 lr: 1.710586554091165e-05 loss: 0.0490 (0.0508) loss_seg: 0.0486 (0.0504) loss_lansim: 0.0422 (0.0374) loss_contra: 0.0003 (0.0024) time: 2.6990 data: 0.0053 max mem: 31630 Epoch: [27] [4510/5278] eta: 0:34:38 lr: 1.7103464249588935e-05 loss: 0.0478 (0.0508) loss_seg: 0.0474 (0.0504) loss_lansim: 0.0422 (0.0374) loss_contra: 0.0003 (0.0023) time: 2.7013 data: 0.0053 max mem: 31630 Epoch: [27] [4520/5278] eta: 0:34:11 lr: 1.710106292080604e-05 loss: 0.0475 (0.0508) loss_seg: 0.0472 (0.0504) loss_lansim: 0.0422 (0.0375) loss_contra: 0.0003 (0.0023) time: 2.6982 data: 0.0053 max mem: 31630 Epoch: [27] [4530/5278] eta: 0:33:44 lr: 1.7098661554556532e-05 loss: 0.0475 (0.0508) loss_seg: 0.0472 (0.0504) loss_lansim: 0.0422 (0.0375) loss_contra: 0.0004 (0.0024) time: 2.7000 data: 0.0053 max mem: 31630 Epoch: [27] [4540/5278] eta: 0:33:17 lr: 1.709626015083398e-05 loss: 0.0473 (0.0508) loss_seg: 0.0468 (0.0504) loss_lansim: 0.0428 (0.0375) loss_contra: 0.0004 (0.0024) time: 2.7028 data: 0.0053 max mem: 31630 Epoch: [27] [4550/5278] eta: 0:32:50 lr: 1.7093858709631953e-05 loss: 0.0461 (0.0508) loss_seg: 0.0456 (0.0504) loss_lansim: 0.0425 (0.0375) loss_contra: 0.0003 (0.0024) time: 2.7022 data: 0.0053 max mem: 31630 Epoch: [27] [4560/5278] eta: 0:32:23 lr: 1.709145723094402e-05 loss: 0.0475 (0.0508) loss_seg: 0.0472 (0.0504) loss_lansim: 0.0425 (0.0375) loss_contra: 0.0002 (0.0023) time: 2.7072 data: 0.0053 max mem: 31630 Epoch: [27] [4570/5278] eta: 0:31:56 lr: 1.708905571476373e-05 loss: 0.0473 (0.0508) loss_seg: 0.0468 (0.0504) loss_lansim: 0.0427 (0.0375) loss_contra: 0.0002 (0.0023) time: 2.7084 data: 0.0053 max mem: 31630 Epoch: [27] [4580/5278] eta: 0:31:29 lr: 1.7086654161084654e-05 loss: 0.0456 (0.0508) loss_seg: 0.0452 (0.0504) loss_lansim: 0.0424 (0.0375) loss_contra: 0.0002 (0.0023) time: 2.7138 data: 0.0053 max mem: 31630 Epoch: [27] [4590/5278] eta: 0:31:01 lr: 1.7084252569900345e-05 loss: 0.0468 (0.0509) loss_seg: 0.0464 (0.0505) loss_lansim: 0.0421 (0.0375) loss_contra: 0.0003 (0.0023) time: 2.7088 data: 0.0054 max mem: 31630 Epoch: [27] [4600/5278] eta: 0:30:34 lr: 1.7081850941204362e-05 loss: 0.0475 (0.0509) loss_seg: 0.0471 (0.0505) loss_lansim: 0.0420 (0.0375) loss_contra: 0.0002 (0.0023) time: 2.7091 data: 0.0054 max mem: 31630 Epoch: [27] [4610/5278] eta: 0:30:07 lr: 1.707944927499026e-05 loss: 0.0479 (0.0509) loss_seg: 0.0475 (0.0505) loss_lansim: 0.0420 (0.0375) loss_contra: 0.0003 (0.0023) time: 2.7082 data: 0.0054 max mem: 31630 Epoch: [27] [4620/5278] eta: 0:29:40 lr: 1.707704757125159e-05 loss: 0.0490 (0.0509) loss_seg: 0.0486 (0.0505) loss_lansim: 0.0420 (0.0376) loss_contra: 0.0003 (0.0023) time: 2.7074 data: 0.0054 max mem: 31630 Epoch: [27] [4630/5278] eta: 0:29:13 lr: 1.7074645829981897e-05 loss: 0.0479 (0.0509) loss_seg: 0.0475 (0.0505) loss_lansim: 0.0420 (0.0376) loss_contra: 0.0002 (0.0023) time: 2.7061 data: 0.0054 max mem: 31630 Epoch: [27] [4640/5278] eta: 0:28:46 lr: 1.707224405117473e-05 loss: 0.0479 (0.0508) loss_seg: 0.0475 (0.0504) loss_lansim: 0.0420 (0.0376) loss_contra: 0.0002 (0.0023) time: 2.7007 data: 0.0054 max mem: 31630 Epoch: [27] [4650/5278] eta: 0:28:19 lr: 1.706984223482365e-05 loss: 0.0485 (0.0508) loss_seg: 0.0481 (0.0504) loss_lansim: 0.0417 (0.0376) loss_contra: 0.0002 (0.0023) time: 2.7007 data: 0.0054 max mem: 31630 Epoch: [27] [4660/5278] eta: 0:27:52 lr: 1.7067440380922176e-05 loss: 0.0481 (0.0508) loss_seg: 0.0476 (0.0504) loss_lansim: 0.0411 (0.0376) loss_contra: 0.0002 (0.0023) time: 2.6968 data: 0.0055 max mem: 31630 Epoch: [27] [4670/5278] eta: 0:27:25 lr: 1.706503848946386e-05 loss: 0.0481 (0.0508) loss_seg: 0.0476 (0.0504) loss_lansim: 0.0405 (0.0376) loss_contra: 0.0002 (0.0023) time: 2.6947 data: 0.0055 max mem: 31630 Epoch: [27] [4680/5278] eta: 0:26:58 lr: 1.7062636560442243e-05 loss: 0.0479 (0.0508) loss_seg: 0.0475 (0.0504) loss_lansim: 0.0405 (0.0376) loss_contra: 0.0002 (0.0023) time: 2.6881 data: 0.0054 max mem: 31630 Epoch: [27] [4690/5278] eta: 0:26:31 lr: 1.706023459385087e-05 loss: 0.0487 (0.0508) loss_seg: 0.0483 (0.0504) loss_lansim: 0.0405 (0.0376) loss_contra: 0.0002 (0.0023) time: 2.6928 data: 0.0054 max mem: 31630 Epoch: [27] [4700/5278] eta: 0:26:04 lr: 1.7057832589683252e-05 loss: 0.0485 (0.0508) loss_seg: 0.0481 (0.0504) loss_lansim: 0.0407 (0.0376) loss_contra: 0.0002 (0.0023) time: 2.6918 data: 0.0053 max mem: 31630 Epoch: [27] [4710/5278] eta: 0:25:37 lr: 1.7055430547932943e-05 loss: 0.0485 (0.0509) loss_seg: 0.0481 (0.0505) loss_lansim: 0.0405 (0.0376) loss_contra: 0.0002 (0.0023) time: 2.6935 data: 0.0054 max mem: 31630 Epoch: [27] [4720/5278] eta: 0:25:09 lr: 1.7053028468593464e-05 loss: 0.0473 (0.0508) loss_seg: 0.0468 (0.0504) loss_lansim: 0.0408 (0.0376) loss_contra: 0.0002 (0.0023) time: 2.6941 data: 0.0054 max mem: 31630 Epoch: [27] [4730/5278] eta: 0:24:42 lr: 1.7050626351658356e-05 loss: 0.0481 (0.0509) loss_seg: 0.0476 (0.0505) loss_lansim: 0.0405 (0.0376) loss_contra: 0.0002 (0.0023) time: 2.6929 data: 0.0054 max mem: 31630 Epoch: [27] [4740/5278] eta: 0:24:15 lr: 1.7048224197121124e-05 loss: 0.0507 (0.0509) loss_seg: 0.0502 (0.0505) loss_lansim: 0.0405 (0.0376) loss_contra: 0.0002 (0.0023) time: 2.6949 data: 0.0053 max mem: 31630 Epoch: [27] [4750/5278] eta: 0:23:48 lr: 1.7045822004975308e-05 loss: 0.0497 (0.0509) loss_seg: 0.0493 (0.0505) loss_lansim: 0.0405 (0.0376) loss_contra: 0.0002 (0.0023) time: 2.6962 data: 0.0053 max mem: 31630 Epoch: [27] [4760/5278] eta: 0:23:21 lr: 1.7043419775214422e-05 loss: 0.0493 (0.0509) loss_seg: 0.0489 (0.0505) loss_lansim: 0.0405 (0.0376) loss_contra: 0.0002 (0.0023) time: 2.6978 data: 0.0053 max mem: 31630 Epoch: [27] [4770/5278] eta: 0:22:54 lr: 1.7041017507831998e-05 loss: 0.0489 (0.0509) loss_seg: 0.0485 (0.0505) loss_lansim: 0.0404 (0.0377) loss_contra: 0.0003 (0.0023) time: 2.6984 data: 0.0053 max mem: 31630 Epoch: [27] [4780/5278] eta: 0:22:27 lr: 1.7038615202821542e-05 loss: 0.0489 (0.0509) loss_seg: 0.0485 (0.0505) loss_lansim: 0.0404 (0.0377) loss_contra: 0.0003 (0.0023) time: 2.7015 data: 0.0054 max mem: 31630 Epoch: [27] [4790/5278] eta: 0:22:00 lr: 1.7036212860176572e-05 loss: 0.0482 (0.0509) loss_seg: 0.0478 (0.0505) loss_lansim: 0.0403 (0.0377) loss_contra: 0.0003 (0.0023) time: 2.7016 data: 0.0054 max mem: 31630 Epoch: [27] [4800/5278] eta: 0:21:33 lr: 1.7033810479890602e-05 loss: 0.0478 (0.0509) loss_seg: 0.0474 (0.0505) loss_lansim: 0.0401 (0.0377) loss_contra: 0.0003 (0.0023) time: 2.7001 data: 0.0054 max mem: 31630 Epoch: [27] [4810/5278] eta: 0:21:06 lr: 1.7031408061957146e-05 loss: 0.0475 (0.0509) loss_seg: 0.0470 (0.0505) loss_lansim: 0.0391 (0.0377) loss_contra: 0.0004 (0.0023) time: 2.7034 data: 0.0054 max mem: 31630 Epoch: [27] [4820/5278] eta: 0:20:39 lr: 1.7029005606369717e-05 loss: 0.0482 (0.0509) loss_seg: 0.0478 (0.0505) loss_lansim: 0.0386 (0.0377) loss_contra: 0.0004 (0.0023) time: 2.7029 data: 0.0054 max mem: 31630 Epoch: [27] [4830/5278] eta: 0:20:12 lr: 1.7026603113121808e-05 loss: 0.0464 (0.0509) loss_seg: 0.0461 (0.0505) loss_lansim: 0.0385 (0.0377) loss_contra: 0.0003 (0.0023) time: 2.7063 data: 0.0055 max mem: 31630 Epoch: [27] [4840/5278] eta: 0:19:45 lr: 1.7024200582206936e-05 loss: 0.0455 (0.0509) loss_seg: 0.0451 (0.0505) loss_lansim: 0.0383 (0.0377) loss_contra: 0.0003 (0.0023) time: 2.7053 data: 0.0055 max mem: 31630 Epoch: [27] [4850/5278] eta: 0:19:18 lr: 1.7021798013618604e-05 loss: 0.0461 (0.0509) loss_seg: 0.0456 (0.0505) loss_lansim: 0.0385 (0.0377) loss_contra: 0.0004 (0.0023) time: 2.7081 data: 0.0055 max mem: 31630 Epoch: [27] [4860/5278] eta: 0:18:51 lr: 1.7019395407350313e-05 loss: 0.0455 (0.0509) loss_seg: 0.0449 (0.0505) loss_lansim: 0.0385 (0.0377) loss_contra: 0.0004 (0.0023) time: 2.7083 data: 0.0055 max mem: 31630 Epoch: [27] [4870/5278] eta: 0:18:24 lr: 1.701699276339555e-05 loss: 0.0455 (0.0509) loss_seg: 0.0449 (0.0505) loss_lansim: 0.0383 (0.0377) loss_contra: 0.0004 (0.0023) time: 2.7098 data: 0.0055 max mem: 31630 Epoch: [27] [4880/5278] eta: 0:17:57 lr: 1.701459008174782e-05 loss: 0.0455 (0.0509) loss_seg: 0.0451 (0.0505) loss_lansim: 0.0383 (0.0377) loss_contra: 0.0004 (0.0023) time: 2.7092 data: 0.0055 max mem: 31630 Epoch: [27] [4890/5278] eta: 0:17:29 lr: 1.7012187362400618e-05 loss: 0.0455 (0.0509) loss_seg: 0.0449 (0.0505) loss_lansim: 0.0383 (0.0377) loss_contra: 0.0004 (0.0023) time: 2.7070 data: 0.0055 max mem: 31630 Epoch: [27] [4900/5278] eta: 0:17:02 lr: 1.700978460534744e-05 loss: 0.0462 (0.0510) loss_seg: 0.0456 (0.0506) loss_lansim: 0.0372 (0.0377) loss_contra: 0.0003 (0.0023) time: 2.7089 data: 0.0054 max mem: 31630 Epoch: [27] [4910/5278] eta: 0:16:35 lr: 1.7007381810581773e-05 loss: 0.0469 (0.0510) loss_seg: 0.0466 (0.0506) loss_lansim: 0.0372 (0.0377) loss_contra: 0.0003 (0.0023) time: 2.7033 data: 0.0054 max mem: 31630 Epoch: [27] [4920/5278] eta: 0:16:08 lr: 1.7004978978097093e-05 loss: 0.0459 (0.0510) loss_seg: 0.0455 (0.0506) loss_lansim: 0.0364 (0.0377) loss_contra: 0.0003 (0.0023) time: 2.7064 data: 0.0054 max mem: 31630 Epoch: [27] [4930/5278] eta: 0:15:41 lr: 1.70025761078869e-05 loss: 0.0474 (0.0510) loss_seg: 0.0469 (0.0506) loss_lansim: 0.0363 (0.0377) loss_contra: 0.0003 (0.0024) time: 2.7060 data: 0.0053 max mem: 31630 Epoch: [27] [4940/5278] eta: 0:15:14 lr: 1.700017319994468e-05 loss: 0.0475 (0.0510) loss_seg: 0.0472 (0.0506) loss_lansim: 0.0362 (0.0377) loss_contra: 0.0003 (0.0024) time: 2.7095 data: 0.0053 max mem: 31630 Epoch: [27] [4950/5278] eta: 0:14:47 lr: 1.6997770254263905e-05 loss: 0.0475 (0.0510) loss_seg: 0.0470 (0.0506) loss_lansim: 0.0362 (0.0377) loss_contra: 0.0002 (0.0024) time: 2.7046 data: 0.0053 max mem: 31630 Epoch: [27] [4960/5278] eta: 0:14:20 lr: 1.6995367270838053e-05 loss: 0.0475 (0.0510) loss_seg: 0.0470 (0.0506) loss_lansim: 0.0362 (0.0377) loss_contra: 0.0002 (0.0024) time: 2.7087 data: 0.0053 max mem: 31630 Epoch: [27] [4970/5278] eta: 0:13:53 lr: 1.6992964249660606e-05 loss: 0.0483 (0.0510) loss_seg: 0.0480 (0.0506) loss_lansim: 0.0363 (0.0377) loss_contra: 0.0002 (0.0024) time: 2.7076 data: 0.0053 max mem: 31630 Epoch: [27] [4980/5278] eta: 0:13:26 lr: 1.6990561190725043e-05 loss: 0.0475 (0.0510) loss_seg: 0.0472 (0.0506) loss_lansim: 0.0358 (0.0377) loss_contra: 0.0002 (0.0024) time: 2.7128 data: 0.0053 max mem: 31630 Epoch: [27] [4990/5278] eta: 0:12:59 lr: 1.698815809402483e-05 loss: 0.0482 (0.0510) loss_seg: 0.0477 (0.0506) loss_lansim: 0.0363 (0.0377) loss_contra: 0.0002 (0.0025) time: 2.7121 data: 0.0053 max mem: 31630 Epoch: [27] [5000/5278] eta: 0:12:32 lr: 1.6985754959553438e-05 loss: 0.0475 (0.0510) loss_seg: 0.0472 (0.0506) loss_lansim: 0.0364 (0.0376) loss_contra: 0.0003 (0.0025) time: 2.7136 data: 0.0053 max mem: 31630 Epoch: [27] [5010/5278] eta: 0:12:05 lr: 1.6983351787304338e-05 loss: 0.0465 (0.0510) loss_seg: 0.0462 (0.0506) loss_lansim: 0.0363 (0.0376) loss_contra: 0.0003 (0.0025) time: 2.7133 data: 0.0053 max mem: 31630 Epoch: [27] [5020/5278] eta: 0:11:38 lr: 1.6980948577271002e-05 loss: 0.0482 (0.0510) loss_seg: 0.0477 (0.0506) loss_lansim: 0.0363 (0.0376) loss_contra: 0.0003 (0.0025) time: 2.7123 data: 0.0053 max mem: 31630 Epoch: [27] [5030/5278] eta: 0:11:11 lr: 1.697854532944688e-05 loss: 0.0502 (0.0510) loss_seg: 0.0499 (0.0506) loss_lansim: 0.0363 (0.0376) loss_contra: 0.0003 (0.0025) time: 2.7113 data: 0.0053 max mem: 31630 Epoch: [27] [5040/5278] eta: 0:10:44 lr: 1.6976142043825447e-05 loss: 0.0502 (0.0510) loss_seg: 0.0499 (0.0506) loss_lansim: 0.0360 (0.0376) loss_contra: 0.0003 (0.0025) time: 2.7150 data: 0.0053 max mem: 31630 Epoch: [27] [5050/5278] eta: 0:10:17 lr: 1.6973738720400153e-05 loss: 0.0502 (0.0510) loss_seg: 0.0499 (0.0506) loss_lansim: 0.0359 (0.0376) loss_contra: 0.0003 (0.0025) time: 2.7148 data: 0.0053 max mem: 31630 Epoch: [27] [5060/5278] eta: 0:09:49 lr: 1.6971335359164464e-05 loss: 0.0494 (0.0510) loss_seg: 0.0490 (0.0506) loss_lansim: 0.0357 (0.0376) loss_contra: 0.0004 (0.0025) time: 2.7117 data: 0.0053 max mem: 31630 Epoch: [27] [5070/5278] eta: 0:09:22 lr: 1.6968931960111836e-05 loss: 0.0455 (0.0510) loss_seg: 0.0452 (0.0506) loss_lansim: 0.0357 (0.0376) loss_contra: 0.0004 (0.0025) time: 2.7093 data: 0.0053 max mem: 31630 Epoch: [27] [5080/5278] eta: 0:08:55 lr: 1.6966528523235715e-05 loss: 0.0448 (0.0510) loss_seg: 0.0444 (0.0506) loss_lansim: 0.0357 (0.0376) loss_contra: 0.0004 (0.0025) time: 2.7081 data: 0.0053 max mem: 31630 Epoch: [27] [5090/5278] eta: 0:08:28 lr: 1.6964125048529554e-05 loss: 0.0446 (0.0510) loss_seg: 0.0441 (0.0506) loss_lansim: 0.0349 (0.0376) loss_contra: 0.0005 (0.0025) time: 2.7083 data: 0.0053 max mem: 31630 Epoch: [27] [5100/5278] eta: 0:08:01 lr: 1.6961721535986804e-05 loss: 0.0446 (0.0509) loss_seg: 0.0441 (0.0505) loss_lansim: 0.0346 (0.0376) loss_contra: 0.0004 (0.0025) time: 2.7081 data: 0.0053 max mem: 31630 Epoch: [27] [5110/5278] eta: 0:07:34 lr: 1.695931798560092e-05 loss: 0.0448 (0.0509) loss_seg: 0.0444 (0.0505) loss_lansim: 0.0339 (0.0376) loss_contra: 0.0004 (0.0025) time: 2.7113 data: 0.0054 max mem: 31630 Epoch: [27] [5120/5278] eta: 0:07:07 lr: 1.695691439736533e-05 loss: 0.0442 (0.0509) loss_seg: 0.0438 (0.0505) loss_lansim: 0.0342 (0.0376) loss_contra: 0.0005 (0.0025) time: 2.7088 data: 0.0054 max mem: 31630 Epoch: [27] [5130/5278] eta: 0:06:40 lr: 1.695451077127349e-05 loss: 0.0440 (0.0509) loss_seg: 0.0436 (0.0505) loss_lansim: 0.0339 (0.0376) loss_contra: 0.0005 (0.0025) time: 2.7085 data: 0.0053 max mem: 31630 Epoch: [27] [5140/5278] eta: 0:06:13 lr: 1.6952107107318833e-05 loss: 0.0438 (0.0510) loss_seg: 0.0434 (0.0506) loss_lansim: 0.0339 (0.0376) loss_contra: 0.0007 (0.0025) time: 2.7036 data: 0.0053 max mem: 31630 Epoch: [27] [5150/5278] eta: 0:05:46 lr: 1.6949703405494804e-05 loss: 0.0446 (0.0510) loss_seg: 0.0441 (0.0506) loss_lansim: 0.0339 (0.0376) loss_contra: 0.0006 (0.0026) time: 2.7067 data: 0.0054 max mem: 31630 Epoch: [27] [5160/5278] eta: 0:05:19 lr: 1.6947299665794832e-05 loss: 0.0457 (0.0510) loss_seg: 0.0450 (0.0506) loss_lansim: 0.0332 (0.0376) loss_contra: 0.0005 (0.0026) time: 2.7055 data: 0.0053 max mem: 31630 Epoch: [27] [5170/5278] eta: 0:04:52 lr: 1.6944895888212353e-05 loss: 0.0465 (0.0510) loss_seg: 0.0455 (0.0506) loss_lansim: 0.0332 (0.0375) loss_contra: 0.0005 (0.0026) time: 2.7112 data: 0.0053 max mem: 31630 Epoch: [27] [5180/5278] eta: 0:04:25 lr: 1.69424920727408e-05 loss: 0.0472 (0.0510) loss_seg: 0.0469 (0.0506) loss_lansim: 0.0331 (0.0375) loss_contra: 0.0005 (0.0026) time: 2.7075 data: 0.0053 max mem: 31630 Epoch: [27] [5190/5278] eta: 0:03:58 lr: 1.694008821937361e-05 loss: 0.0484 (0.0510) loss_seg: 0.0481 (0.0506) loss_lansim: 0.0330 (0.0375) loss_contra: 0.0005 (0.0026) time: 2.7145 data: 0.0054 max mem: 31630 Epoch: [27] [5200/5278] eta: 0:03:31 lr: 1.6937684328104194e-05 loss: 0.0471 (0.0510) loss_seg: 0.0466 (0.0506) loss_lansim: 0.0330 (0.0375) loss_contra: 0.0006 (0.0026) time: 2.7118 data: 0.0054 max mem: 31630 Epoch: [27] [5210/5278] eta: 0:03:04 lr: 1.6935280398925988e-05 loss: 0.0472 (0.0510) loss_seg: 0.0469 (0.0506) loss_lansim: 0.0335 (0.0375) loss_contra: 0.0004 (0.0026) time: 2.7160 data: 0.0055 max mem: 31630 Epoch: [27] [5220/5278] eta: 0:02:36 lr: 1.6932876431832412e-05 loss: 0.0485 (0.0510) loss_seg: 0.0482 (0.0506) loss_lansim: 0.0336 (0.0375) loss_contra: 0.0004 (0.0026) time: 2.7174 data: 0.0055 max mem: 31630 Epoch: [27] [5230/5278] eta: 0:02:09 lr: 1.6930472426816893e-05 loss: 0.0476 (0.0510) loss_seg: 0.0472 (0.0506) loss_lansim: 0.0340 (0.0375) loss_contra: 0.0004 (0.0026) time: 2.7191 data: 0.0056 max mem: 31630 Epoch: [27] [5240/5278] eta: 0:01:42 lr: 1.692806838387284e-05 loss: 0.0476 (0.0510) loss_seg: 0.0472 (0.0506) loss_lansim: 0.0344 (0.0375) loss_contra: 0.0003 (0.0026) time: 2.7198 data: 0.0055 max mem: 31630 Epoch: [27] [5250/5278] eta: 0:01:15 lr: 1.692566430299367e-05 loss: 0.0472 (0.0510) loss_seg: 0.0469 (0.0506) loss_lansim: 0.0344 (0.0375) loss_contra: 0.0003 (0.0026) time: 2.7255 data: 0.0055 max mem: 31630 Epoch: [27] [5260/5278] eta: 0:00:48 lr: 1.6923260184172808e-05 loss: 0.0475 (0.0510) loss_seg: 0.0470 (0.0506) loss_lansim: 0.0347 (0.0375) loss_contra: 0.0002 (0.0026) time: 2.7268 data: 0.0055 max mem: 31630 Epoch: [27] [5270/5278] eta: 0:00:21 lr: 1.692085602740366e-05 loss: 0.0475 (0.0510) loss_seg: 0.0470 (0.0506) loss_lansim: 0.0347 (0.0375) loss_contra: 0.0002 (0.0026) time: 2.7265 data: 0.0055 max mem: 31630 Epoch: [27] Total time: 3:58:06 Test: [ 0/2573] eta: 0:56:34 time: 1.3193 data: 1.1656 max mem: 31630 Test: [ 100/2573] eta: 0:06:10 time: 0.1381 data: 0.0013 max mem: 31630 Test: [ 200/2573] eta: 0:05:47 time: 0.1431 data: 0.0014 max mem: 31630 Test: [ 300/2573] eta: 0:05:26 time: 0.1381 data: 0.0014 max mem: 31630 Test: [ 400/2573] eta: 0:05:10 time: 0.1403 data: 0.0014 max mem: 31630 Test: [ 500/2573] eta: 0:04:55 time: 0.1411 data: 0.0014 max mem: 31630 Test: [ 600/2573] eta: 0:04:41 time: 0.1432 data: 0.0014 max mem: 31630 Test: [ 700/2573] eta: 0:04:28 time: 0.1473 data: 0.0014 max mem: 31630 Test: [ 800/2573] eta: 0:04:14 time: 0.1439 data: 0.0014 max mem: 31630 Test: [ 900/2573] eta: 0:03:59 time: 0.1440 data: 0.0014 max mem: 31630 Test: [1000/2573] eta: 0:03:45 time: 0.1429 data: 0.0014 max mem: 31630 Test: [1100/2573] eta: 0:03:31 time: 0.1420 data: 0.0015 max mem: 31630 Test: [1200/2573] eta: 0:03:16 time: 0.1444 data: 0.0015 max mem: 31630 Test: [1300/2573] eta: 0:03:02 time: 0.1425 data: 0.0015 max mem: 31630 Test: [1400/2573] eta: 0:02:47 time: 0.1386 data: 0.0015 max mem: 31630 Test: [1500/2573] eta: 0:02:33 time: 0.1432 data: 0.0015 max mem: 31630 Test: [1600/2573] eta: 0:02:19 time: 0.1423 data: 0.0015 max mem: 31630 Test: [1700/2573] eta: 0:02:04 time: 0.1430 data: 0.0015 max mem: 31630 Test: [1800/2573] eta: 0:01:50 time: 0.1404 data: 0.0015 max mem: 31630 Test: [1900/2573] eta: 0:01:35 time: 0.1387 data: 0.0015 max mem: 31630 Test: [2000/2573] eta: 0:01:21 time: 0.1387 data: 0.0014 max mem: 31630 Test: [2100/2573] eta: 0:01:07 time: 0.1431 data: 0.0014 max mem: 31630 Test: [2200/2573] eta: 0:00:53 time: 0.1379 data: 0.0015 max mem: 31630 Test: [2300/2573] eta: 0:00:38 time: 0.1431 data: 0.0015 max mem: 31630 Test: [2400/2573] eta: 0:00:24 time: 0.1409 data: 0.0015 max mem: 31630 Test: [2500/2573] eta: 0:00:10 time: 0.1431 data: 0.0015 max mem: 31630 Test: Total time: 0:06:06 Final results: precision@0.5 = 70.63 precision@0.6 = 65.13 precision@0.7 = 57.80 precision@0.8 = 46.85 precision@0.9 = 23.10 overall IoU = 59.42 mean IoU = 62.56 Better epoch: 27 The best_performance is 59.417192410402855 Epoch: [28] [ 0/5278] eta: 6:27:50 lr: 1.691893267466114e-05 loss: 0.0576 (0.0576) loss_seg: 0.0572 (0.0572) loss_lansim: 0.0364 (0.0364) loss_contra: 0.0010 (0.0010) time: 4.4090 data: 1.5131 max mem: 31630 Epoch: [28] [ 10/5278] eta: 4:13:04 lr: 1.6916528449568466e-05 loss: 0.0470 (0.0455) loss_seg: 0.0467 (0.0450) loss_lansim: 0.0364 (0.0373) loss_contra: 0.0016 (0.0036) time: 2.8823 data: 0.1419 max mem: 31630 Epoch: [28] [ 20/5278] eta: 4:04:18 lr: 1.6914124186509045e-05 loss: 0.0468 (0.0436) loss_seg: 0.0464 (0.0433) loss_lansim: 0.0341 (0.0350) loss_contra: 0.0004 (0.0020) time: 2.7878 data: 0.0768 max mem: 31630 Epoch: [28] [ 30/5278] eta: 4:01:39 lr: 1.6911719885476284e-05 loss: 0.0468 (0.0442) loss_seg: 0.0464 (0.0439) loss_lansim: 0.0347 (0.0352) loss_contra: 0.0003 (0.0018) time: 2.7629 data: 0.0538 max mem: 31630 Epoch: [28] [ 40/5278] eta: 4:00:02 lr: 1.6909315546463582e-05 loss: 0.0421 (0.0436) loss_seg: 0.0418 (0.0432) loss_lansim: 0.0364 (0.0369) loss_contra: 0.0003 (0.0016) time: 2.7495 data: 0.0421 max mem: 31630 Epoch: [28] [ 50/5278] eta: 3:58:27 lr: 1.690691116946435e-05 loss: 0.0422 (0.0447) loss_seg: 0.0418 (0.0444) loss_lansim: 0.0365 (0.0370) loss_contra: 0.0003 (0.0017) time: 2.7367 data: 0.0349 max mem: 31630 Epoch: [28] [ 60/5278] eta: 3:57:58 lr: 1.6904506754471965e-05 loss: 0.0445 (0.0458) loss_seg: 0.0440 (0.0455) loss_lansim: 0.0365 (0.0369) loss_contra: 0.0003 (0.0015) time: 2.7363 data: 0.0300 max mem: 31630 Epoch: [28] [ 70/5278] eta: 3:56:43 lr: 1.6902102301479837e-05 loss: 0.0442 (0.0457) loss_seg: 0.0439 (0.0453) loss_lansim: 0.0368 (0.0371) loss_contra: 0.0003 (0.0015) time: 2.7273 data: 0.0266 max mem: 31630 Epoch: [28] [ 80/5278] eta: 3:56:34 lr: 1.6899697810481353e-05 loss: 0.0443 (0.0458) loss_seg: 0.0439 (0.0455) loss_lansim: 0.0365 (0.0368) loss_contra: 0.0003 (0.0013) time: 2.7307 data: 0.0239 max mem: 31630 Epoch: [28] [ 90/5278] eta: 3:55:33 lr: 1.6897293281469905e-05 loss: 0.0445 (0.0458) loss_seg: 0.0440 (0.0454) loss_lansim: 0.0364 (0.0367) loss_contra: 0.0003 (0.0013) time: 2.7244 data: 0.0219 max mem: 31630 Epoch: [28] [ 100/5278] eta: 3:55:02 lr: 1.6894888714438888e-05 loss: 0.0445 (0.0462) loss_seg: 0.0440 (0.0458) loss_lansim: 0.0368 (0.0370) loss_contra: 0.0003 (0.0020) time: 2.7066 data: 0.0053 max mem: 31630 Epoch: [28] [ 110/5278] eta: 3:54:19 lr: 1.6892484109381675e-05 loss: 0.0443 (0.0455) loss_seg: 0.0439 (0.0451) loss_lansim: 0.0368 (0.0371) loss_contra: 0.0003 (0.0019) time: 2.7026 data: 0.0054 max mem: 31630 Epoch: [28] [ 120/5278] eta: 3:53:39 lr: 1.689007946629166e-05 loss: 0.0445 (0.0455) loss_seg: 0.0439 (0.0451) loss_lansim: 0.0378 (0.0373) loss_contra: 0.0003 (0.0018) time: 2.7034 data: 0.0054 max mem: 31630 Epoch: [28] [ 130/5278] eta: 3:53:09 lr: 1.688767478516222e-05 loss: 0.0445 (0.0458) loss_seg: 0.0440 (0.0454) loss_lansim: 0.0381 (0.0375) loss_contra: 0.0002 (0.0017) time: 2.7035 data: 0.0054 max mem: 31630 Epoch: [28] [ 140/5278] eta: 3:52:26 lr: 1.6885270065986743e-05 loss: 0.0445 (0.0453) loss_seg: 0.0440 (0.0449) loss_lansim: 0.0378 (0.0376) loss_contra: 0.0002 (0.0016) time: 2.7000 data: 0.0053 max mem: 31630 Epoch: [28] [ 150/5278] eta: 3:51:50 lr: 1.6882865308758598e-05 loss: 0.0439 (0.0449) loss_seg: 0.0434 (0.0445) loss_lansim: 0.0378 (0.0376) loss_contra: 0.0002 (0.0019) time: 2.7005 data: 0.0053 max mem: 31630 Epoch: [28] [ 160/5278] eta: 3:51:20 lr: 1.688046051347116e-05 loss: 0.0431 (0.0448) loss_seg: 0.0427 (0.0444) loss_lansim: 0.0381 (0.0377) loss_contra: 0.0002 (0.0022) time: 2.6974 data: 0.0053 max mem: 31630 Epoch: [28] [ 170/5278] eta: 3:50:44 lr: 1.68780556801178e-05 loss: 0.0435 (0.0448) loss_seg: 0.0432 (0.0444) loss_lansim: 0.0381 (0.0378) loss_contra: 0.0002 (0.0021) time: 2.6984 data: 0.0053 max mem: 31630 Epoch: [28] [ 180/5278] eta: 3:50:11 lr: 1.6875650808691904e-05 loss: 0.0431 (0.0449) loss_seg: 0.0427 (0.0445) loss_lansim: 0.0385 (0.0378) loss_contra: 0.0002 (0.0021) time: 2.6917 data: 0.0053 max mem: 31630 Epoch: [28] [ 190/5278] eta: 3:49:38 lr: 1.6873245899186825e-05 loss: 0.0430 (0.0456) loss_seg: 0.0426 (0.0452) loss_lansim: 0.0386 (0.0379) loss_contra: 0.0002 (0.0020) time: 2.6932 data: 0.0052 max mem: 31630 Epoch: [28] [ 200/5278] eta: 3:49:05 lr: 1.6870840951595933e-05 loss: 0.0430 (0.0457) loss_seg: 0.0426 (0.0453) loss_lansim: 0.0386 (0.0382) loss_contra: 0.0002 (0.0030) time: 2.6903 data: 0.0052 max mem: 31630 Epoch: [28] [ 210/5278] eta: 3:48:39 lr: 1.686843596591259e-05 loss: 0.0427 (0.0454) loss_seg: 0.0422 (0.0450) loss_lansim: 0.0388 (0.0383) loss_contra: 0.0002 (0.0033) time: 2.6925 data: 0.0052 max mem: 31630 Epoch: [28] [ 220/5278] eta: 3:48:07 lr: 1.6866030942130173e-05 loss: 0.0404 (0.0455) loss_seg: 0.0400 (0.0451) loss_lansim: 0.0389 (0.0384) loss_contra: 0.0002 (0.0039) time: 2.6916 data: 0.0052 max mem: 31630 Epoch: [28] [ 230/5278] eta: 3:47:32 lr: 1.6863625880242023e-05 loss: 0.0398 (0.0453) loss_seg: 0.0395 (0.0449) loss_lansim: 0.0395 (0.0388) loss_contra: 0.0003 (0.0038) time: 2.6877 data: 0.0052 max mem: 31630 Epoch: [28] [ 240/5278] eta: 3:47:07 lr: 1.6861220780241508e-05 loss: 0.0403 (0.0454) loss_seg: 0.0399 (0.0450) loss_lansim: 0.0400 (0.0389) loss_contra: 0.0003 (0.0037) time: 2.6914 data: 0.0052 max mem: 31630 Epoch: [28] [ 250/5278] eta: 3:46:37 lr: 1.685881564212198e-05 loss: 0.0431 (0.0452) loss_seg: 0.0426 (0.0448) loss_lansim: 0.0407 (0.0391) loss_contra: 0.0003 (0.0036) time: 2.6917 data: 0.0052 max mem: 31630 Epoch: [28] [ 260/5278] eta: 3:46:08 lr: 1.6856410465876795e-05 loss: 0.0407 (0.0449) loss_seg: 0.0403 (0.0445) loss_lansim: 0.0403 (0.0391) loss_contra: 0.0003 (0.0035) time: 2.6906 data: 0.0052 max mem: 31630 Epoch: [28] [ 270/5278] eta: 3:45:38 lr: 1.68540052514993e-05 loss: 0.0407 (0.0449) loss_seg: 0.0403 (0.0445) loss_lansim: 0.0413 (0.0393) loss_contra: 0.0003 (0.0034) time: 2.6911 data: 0.0052 max mem: 31630 Epoch: [28] [ 280/5278] eta: 3:45:13 lr: 1.6851599998982845e-05 loss: 0.0403 (0.0450) loss_seg: 0.0399 (0.0446) loss_lansim: 0.0413 (0.0392) loss_contra: 0.0003 (0.0033) time: 2.6940 data: 0.0052 max mem: 31630 Epoch: [28] [ 290/5278] eta: 3:44:50 lr: 1.684919470832078e-05 loss: 0.0409 (0.0451) loss_seg: 0.0405 (0.0447) loss_lansim: 0.0413 (0.0393) loss_contra: 0.0003 (0.0033) time: 2.6982 data: 0.0052 max mem: 31630 Epoch: [28] [ 300/5278] eta: 3:44:21 lr: 1.6846789379506447e-05 loss: 0.0399 (0.0450) loss_seg: 0.0396 (0.0446) loss_lansim: 0.0413 (0.0395) loss_contra: 0.0003 (0.0033) time: 2.6985 data: 0.0052 max mem: 31630 Epoch: [28] [ 310/5278] eta: 3:43:59 lr: 1.6844384012533188e-05 loss: 0.0409 (0.0451) loss_seg: 0.0405 (0.0446) loss_lansim: 0.0416 (0.0396) loss_contra: 0.0003 (0.0032) time: 2.7009 data: 0.0052 max mem: 31630 Epoch: [28] [ 320/5278] eta: 3:43:28 lr: 1.684197860739434e-05 loss: 0.0409 (0.0452) loss_seg: 0.0405 (0.0448) loss_lansim: 0.0422 (0.0397) loss_contra: 0.0003 (0.0034) time: 2.7006 data: 0.0053 max mem: 31630 Epoch: [28] [ 330/5278] eta: 3:43:02 lr: 1.683957316408324e-05 loss: 0.0418 (0.0454) loss_seg: 0.0414 (0.0449) loss_lansim: 0.0416 (0.0398) loss_contra: 0.0002 (0.0034) time: 2.7049 data: 0.0053 max mem: 31630 Epoch: [28] [ 340/5278] eta: 3:42:36 lr: 1.6837167682593232e-05 loss: 0.0420 (0.0454) loss_seg: 0.0415 (0.0449) loss_lansim: 0.0415 (0.0398) loss_contra: 0.0002 (0.0035) time: 2.7046 data: 0.0053 max mem: 31630 Epoch: [28] [ 350/5278] eta: 3:42:05 lr: 1.683476216291765e-05 loss: 0.0418 (0.0452) loss_seg: 0.0414 (0.0448) loss_lansim: 0.0411 (0.0398) loss_contra: 0.0002 (0.0034) time: 2.7034 data: 0.0053 max mem: 31630 Epoch: [28] [ 360/5278] eta: 3:41:41 lr: 1.683235660504981e-05 loss: 0.0427 (0.0451) loss_seg: 0.0422 (0.0446) loss_lansim: 0.0411 (0.0398) loss_contra: 0.0002 (0.0033) time: 2.7066 data: 0.0053 max mem: 31630 Epoch: [28] [ 370/5278] eta: 3:41:11 lr: 1.6829951008983055e-05 loss: 0.0431 (0.0451) loss_seg: 0.0426 (0.0447) loss_lansim: 0.0406 (0.0397) loss_contra: 0.0002 (0.0033) time: 2.7064 data: 0.0053 max mem: 31630 Epoch: [28] [ 380/5278] eta: 3:40:44 lr: 1.6827545374710704e-05 loss: 0.0432 (0.0452) loss_seg: 0.0427 (0.0448) loss_lansim: 0.0406 (0.0397) loss_contra: 0.0002 (0.0033) time: 2.7050 data: 0.0053 max mem: 31630 Epoch: [28] [ 390/5278] eta: 3:40:16 lr: 1.6825139702226088e-05 loss: 0.0426 (0.0452) loss_seg: 0.0422 (0.0448) loss_lansim: 0.0404 (0.0397) loss_contra: 0.0002 (0.0032) time: 2.7013 data: 0.0052 max mem: 31630 Epoch: [28] [ 400/5278] eta: 3:39:53 lr: 1.6822733991522525e-05 loss: 0.0431 (0.0452) loss_seg: 0.0426 (0.0447) loss_lansim: 0.0399 (0.0396) loss_contra: 0.0002 (0.0032) time: 2.7063 data: 0.0052 max mem: 31630 Epoch: [28] [ 410/5278] eta: 3:39:24 lr: 1.682032824259333e-05 loss: 0.0419 (0.0451) loss_seg: 0.0415 (0.0447) loss_lansim: 0.0396 (0.0397) loss_contra: 0.0002 (0.0032) time: 2.7019 data: 0.0052 max mem: 31630 Epoch: [28] [ 420/5278] eta: 3:38:58 lr: 1.681792245543183e-05 loss: 0.0426 (0.0452) loss_seg: 0.0422 (0.0448) loss_lansim: 0.0389 (0.0397) loss_contra: 0.0002 (0.0032) time: 2.7047 data: 0.0052 max mem: 31630 Epoch: [28] [ 430/5278] eta: 3:38:30 lr: 1.6815516630031335e-05 loss: 0.0431 (0.0452) loss_seg: 0.0427 (0.0448) loss_lansim: 0.0389 (0.0397) loss_contra: 0.0002 (0.0031) time: 2.7031 data: 0.0052 max mem: 31630 Epoch: [28] [ 440/5278] eta: 3:37:55 lr: 1.681311076638516e-05 loss: 0.0426 (0.0452) loss_seg: 0.0422 (0.0448) loss_lansim: 0.0387 (0.0396) loss_contra: 0.0002 (0.0032) time: 2.6951 data: 0.0051 max mem: 31630 Epoch: [28] [ 450/5278] eta: 3:37:19 lr: 1.6810704864486616e-05 loss: 0.0434 (0.0454) loss_seg: 0.0431 (0.0449) loss_lansim: 0.0387 (0.0396) loss_contra: 0.0002 (0.0031) time: 2.6897 data: 0.0052 max mem: 31630 Epoch: [28] [ 460/5278] eta: 3:36:45 lr: 1.6808298924329004e-05 loss: 0.0436 (0.0454) loss_seg: 0.0431 (0.0450) loss_lansim: 0.0383 (0.0395) loss_contra: 0.0002 (0.0031) time: 2.6800 data: 0.0052 max mem: 31630 Epoch: [28] [ 470/5278] eta: 3:36:10 lr: 1.6805892945905652e-05 loss: 0.0438 (0.0454) loss_seg: 0.0435 (0.0450) loss_lansim: 0.0382 (0.0395) loss_contra: 0.0003 (0.0031) time: 2.6742 data: 0.0053 max mem: 31630 Epoch: [28] [ 480/5278] eta: 3:35:37 lr: 1.680348692920984e-05 loss: 0.0436 (0.0454) loss_seg: 0.0431 (0.0450) loss_lansim: 0.0383 (0.0394) loss_contra: 0.0002 (0.0031) time: 2.6670 data: 0.0053 max mem: 31630 Epoch: [28] [ 490/5278] eta: 3:35:03 lr: 1.6801080874234878e-05 loss: 0.0438 (0.0453) loss_seg: 0.0435 (0.0449) loss_lansim: 0.0382 (0.0394) loss_contra: 0.0002 (0.0030) time: 2.6608 data: 0.0053 max mem: 31630 Epoch: [28] [ 500/5278] eta: 3:34:30 lr: 1.6798674780974072e-05 loss: 0.0439 (0.0457) loss_seg: 0.0435 (0.0453) loss_lansim: 0.0384 (0.0395) loss_contra: 0.0002 (0.0030) time: 2.6497 data: 0.0054 max mem: 31630 Epoch: [28] [ 510/5278] eta: 3:33:57 lr: 1.679626864942072e-05 loss: 0.0440 (0.0458) loss_seg: 0.0436 (0.0454) loss_lansim: 0.0384 (0.0394) loss_contra: 0.0002 (0.0029) time: 2.6434 data: 0.0054 max mem: 31630 Epoch: [28] [ 520/5278] eta: 3:33:24 lr: 1.6793862479568108e-05 loss: 0.0440 (0.0458) loss_seg: 0.0436 (0.0453) loss_lansim: 0.0386 (0.0395) loss_contra: 0.0002 (0.0029) time: 2.6351 data: 0.0055 max mem: 31630 Epoch: [28] [ 530/5278] eta: 3:32:51 lr: 1.6791456271409532e-05 loss: 0.0443 (0.0459) loss_seg: 0.0440 (0.0454) loss_lansim: 0.0385 (0.0395) loss_contra: 0.0002 (0.0029) time: 2.6277 data: 0.0055 max mem: 31630 Epoch: [28] [ 540/5278] eta: 3:32:19 lr: 1.678905002493828e-05 loss: 0.0451 (0.0458) loss_seg: 0.0447 (0.0454) loss_lansim: 0.0386 (0.0395) loss_contra: 0.0003 (0.0028) time: 2.6278 data: 0.0055 max mem: 31630 Epoch: [28] [ 550/5278] eta: 3:31:47 lr: 1.678664374014766e-05 loss: 0.0439 (0.0458) loss_seg: 0.0435 (0.0454) loss_lansim: 0.0389 (0.0395) loss_contra: 0.0002 (0.0028) time: 2.6278 data: 0.0055 max mem: 31630 Epoch: [28] [ 560/5278] eta: 3:31:15 lr: 1.678423741703093e-05 loss: 0.0439 (0.0457) loss_seg: 0.0435 (0.0453) loss_lansim: 0.0390 (0.0395) loss_contra: 0.0003 (0.0029) time: 2.6284 data: 0.0055 max mem: 31630 Epoch: [28] [ 570/5278] eta: 3:30:46 lr: 1.678183105558139e-05 loss: 0.0433 (0.0457) loss_seg: 0.0428 (0.0453) loss_lansim: 0.0390 (0.0394) loss_contra: 0.0003 (0.0028) time: 2.6315 data: 0.0055 max mem: 31630 Epoch: [28] [ 580/5278] eta: 3:30:18 lr: 1.6779424655792325e-05 loss: 0.0434 (0.0458) loss_seg: 0.0430 (0.0453) loss_lansim: 0.0392 (0.0394) loss_contra: 0.0002 (0.0028) time: 2.6355 data: 0.0055 max mem: 31630 Epoch: [28] [ 590/5278] eta: 3:29:51 lr: 1.6777018217657006e-05 loss: 0.0432 (0.0458) loss_seg: 0.0428 (0.0453) loss_lansim: 0.0394 (0.0394) loss_contra: 0.0002 (0.0028) time: 2.6409 data: 0.0055 max mem: 31630 Epoch: [28] [ 600/5278] eta: 3:29:24 lr: 1.6774611741168717e-05 loss: 0.0433 (0.0458) loss_seg: 0.0428 (0.0454) loss_lansim: 0.0396 (0.0395) loss_contra: 0.0002 (0.0027) time: 2.6469 data: 0.0055 max mem: 31630 Epoch: [28] [ 610/5278] eta: 3:28:55 lr: 1.6772205226320724e-05 loss: 0.0428 (0.0461) loss_seg: 0.0424 (0.0456) loss_lansim: 0.0396 (0.0394) loss_contra: 0.0003 (0.0027) time: 2.6502 data: 0.0054 max mem: 31630 Epoch: [28] [ 620/5278] eta: 3:28:30 lr: 1.6769798673106307e-05 loss: 0.0432 (0.0462) loss_seg: 0.0428 (0.0457) loss_lansim: 0.0396 (0.0395) loss_contra: 0.0002 (0.0027) time: 2.6575 data: 0.0054 max mem: 31630 Epoch: [28] [ 630/5278] eta: 3:28:04 lr: 1.6767392081518735e-05 loss: 0.0426 (0.0462) loss_seg: 0.0423 (0.0458) loss_lansim: 0.0396 (0.0395) loss_contra: 0.0002 (0.0027) time: 2.6652 data: 0.0054 max mem: 31630 Epoch: [28] [ 640/5278] eta: 3:27:38 lr: 1.676498545155128e-05 loss: 0.0432 (0.0462) loss_seg: 0.0428 (0.0458) loss_lansim: 0.0397 (0.0395) loss_contra: 0.0002 (0.0027) time: 2.6723 data: 0.0054 max mem: 31630 Epoch: [28] [ 650/5278] eta: 3:27:12 lr: 1.67625787831972e-05 loss: 0.0436 (0.0463) loss_seg: 0.0431 (0.0459) loss_lansim: 0.0397 (0.0395) loss_contra: 0.0001 (0.0026) time: 2.6796 data: 0.0054 max mem: 31630 Epoch: [28] [ 660/5278] eta: 3:26:47 lr: 1.6760172076449768e-05 loss: 0.0428 (0.0462) loss_seg: 0.0424 (0.0458) loss_lansim: 0.0398 (0.0395) loss_contra: 0.0001 (0.0026) time: 2.6868 data: 0.0054 max mem: 31630 Epoch: [28] [ 670/5278] eta: 3:26:21 lr: 1.6757765331302234e-05 loss: 0.0454 (0.0463) loss_seg: 0.0450 (0.0459) loss_lansim: 0.0403 (0.0395) loss_contra: 0.0001 (0.0026) time: 2.6921 data: 0.0054 max mem: 31630 Epoch: [28] [ 680/5278] eta: 3:25:54 lr: 1.6755358547747873e-05 loss: 0.0459 (0.0464) loss_seg: 0.0454 (0.0460) loss_lansim: 0.0401 (0.0395) loss_contra: 0.0002 (0.0026) time: 2.6930 data: 0.0054 max mem: 31630 Epoch: [28] [ 690/5278] eta: 3:25:30 lr: 1.6752951725779926e-05 loss: 0.0460 (0.0465) loss_seg: 0.0456 (0.0461) loss_lansim: 0.0401 (0.0395) loss_contra: 0.0002 (0.0025) time: 2.6971 data: 0.0054 max mem: 31630 Epoch: [28] [ 700/5278] eta: 3:25:03 lr: 1.675054486539166e-05 loss: 0.0460 (0.0465) loss_seg: 0.0456 (0.0461) loss_lansim: 0.0395 (0.0394) loss_contra: 0.0001 (0.0025) time: 2.6969 data: 0.0054 max mem: 31630 Epoch: [28] [ 710/5278] eta: 3:24:39 lr: 1.6748137966576317e-05 loss: 0.0465 (0.0464) loss_seg: 0.0462 (0.0460) loss_lansim: 0.0395 (0.0394) loss_contra: 0.0001 (0.0025) time: 2.7040 data: 0.0054 max mem: 31630 Epoch: [28] [ 720/5278] eta: 3:24:12 lr: 1.6745731029327163e-05 loss: 0.0460 (0.0464) loss_seg: 0.0456 (0.0460) loss_lansim: 0.0395 (0.0394) loss_contra: 0.0001 (0.0025) time: 2.7030 data: 0.0054 max mem: 31630 Epoch: [28] [ 730/5278] eta: 3:23:46 lr: 1.6743324053637428e-05 loss: 0.0453 (0.0464) loss_seg: 0.0449 (0.0460) loss_lansim: 0.0388 (0.0394) loss_contra: 0.0001 (0.0025) time: 2.7033 data: 0.0054 max mem: 31630 Epoch: [28] [ 740/5278] eta: 3:23:20 lr: 1.6740917039500366e-05 loss: 0.0453 (0.0464) loss_seg: 0.0449 (0.0460) loss_lansim: 0.0388 (0.0394) loss_contra: 0.0001 (0.0024) time: 2.7029 data: 0.0054 max mem: 31630 Epoch: [28] [ 750/5278] eta: 3:22:55 lr: 1.673850998690922e-05 loss: 0.0447 (0.0464) loss_seg: 0.0442 (0.0459) loss_lansim: 0.0386 (0.0393) loss_contra: 0.0001 (0.0024) time: 2.7047 data: 0.0054 max mem: 31630 Epoch: [28] [ 760/5278] eta: 3:22:30 lr: 1.6736102895857237e-05 loss: 0.0450 (0.0463) loss_seg: 0.0447 (0.0459) loss_lansim: 0.0386 (0.0393) loss_contra: 0.0001 (0.0024) time: 2.7063 data: 0.0054 max mem: 31630 Epoch: [28] [ 770/5278] eta: 3:22:04 lr: 1.6733695766337645e-05 loss: 0.0447 (0.0464) loss_seg: 0.0442 (0.0459) loss_lansim: 0.0384 (0.0393) loss_contra: 0.0001 (0.0024) time: 2.7058 data: 0.0054 max mem: 31630 Epoch: [28] [ 780/5278] eta: 3:21:39 lr: 1.6731288598343685e-05 loss: 0.0443 (0.0463) loss_seg: 0.0439 (0.0459) loss_lansim: 0.0388 (0.0394) loss_contra: 0.0001 (0.0024) time: 2.7106 data: 0.0054 max mem: 31630 Epoch: [28] [ 790/5278] eta: 3:21:12 lr: 1.6728881391868595e-05 loss: 0.0437 (0.0463) loss_seg: 0.0432 (0.0459) loss_lansim: 0.0394 (0.0395) loss_contra: 0.0001 (0.0024) time: 2.7066 data: 0.0054 max mem: 31630 Epoch: [28] [ 800/5278] eta: 3:20:46 lr: 1.672647414690561e-05 loss: 0.0429 (0.0463) loss_seg: 0.0425 (0.0459) loss_lansim: 0.0398 (0.0395) loss_contra: 0.0002 (0.0024) time: 2.7093 data: 0.0053 max mem: 31630 Epoch: [28] [ 810/5278] eta: 3:20:19 lr: 1.6724066863447946e-05 loss: 0.0427 (0.0464) loss_seg: 0.0423 (0.0460) loss_lansim: 0.0398 (0.0396) loss_contra: 0.0002 (0.0024) time: 2.7044 data: 0.0053 max mem: 31630 Epoch: [28] [ 820/5278] eta: 3:19:53 lr: 1.672165954148884e-05 loss: 0.0437 (0.0465) loss_seg: 0.0433 (0.0461) loss_lansim: 0.0399 (0.0395) loss_contra: 0.0002 (0.0024) time: 2.7071 data: 0.0053 max mem: 31630 Epoch: [28] [ 830/5278] eta: 3:19:27 lr: 1.6719252181021518e-05 loss: 0.0437 (0.0466) loss_seg: 0.0433 (0.0461) loss_lansim: 0.0399 (0.0395) loss_contra: 0.0002 (0.0024) time: 2.7072 data: 0.0054 max mem: 31630 Epoch: [28] [ 840/5278] eta: 3:19:01 lr: 1.67168447820392e-05 loss: 0.0427 (0.0465) loss_seg: 0.0423 (0.0461) loss_lansim: 0.0400 (0.0396) loss_contra: 0.0002 (0.0024) time: 2.7073 data: 0.0054 max mem: 31630 Epoch: [28] [ 850/5278] eta: 3:18:37 lr: 1.6714437344535115e-05 loss: 0.0437 (0.0465) loss_seg: 0.0432 (0.0461) loss_lansim: 0.0407 (0.0396) loss_contra: 0.0002 (0.0024) time: 2.7097 data: 0.0055 max mem: 31630 Epoch: [28] [ 860/5278] eta: 3:18:09 lr: 1.671202986850247e-05 loss: 0.0437 (0.0468) loss_seg: 0.0432 (0.0464) loss_lansim: 0.0413 (0.0396) loss_contra: 0.0002 (0.0024) time: 2.7049 data: 0.0055 max mem: 31630 Epoch: [28] [ 870/5278] eta: 3:17:45 lr: 1.6709622353934482e-05 loss: 0.0437 (0.0469) loss_seg: 0.0432 (0.0464) loss_lansim: 0.0411 (0.0396) loss_contra: 0.0002 (0.0024) time: 2.7099 data: 0.0056 max mem: 31630 Epoch: [28] [ 880/5278] eta: 3:17:20 lr: 1.6707214800824372e-05 loss: 0.0440 (0.0469) loss_seg: 0.0436 (0.0465) loss_lansim: 0.0400 (0.0396) loss_contra: 0.0003 (0.0024) time: 2.7093 data: 0.0057 max mem: 31630 Epoch: [28] [ 890/5278] eta: 3:16:53 lr: 1.6704807209165353e-05 loss: 0.0458 (0.0470) loss_seg: 0.0454 (0.0466) loss_lansim: 0.0393 (0.0395) loss_contra: 0.0003 (0.0024) time: 2.7114 data: 0.0057 max mem: 31630 Epoch: [28] [ 900/5278] eta: 3:16:26 lr: 1.6702399578950623e-05 loss: 0.0458 (0.0470) loss_seg: 0.0454 (0.0466) loss_lansim: 0.0382 (0.0395) loss_contra: 0.0003 (0.0024) time: 2.7084 data: 0.0057 max mem: 31630 Epoch: [28] [ 910/5278] eta: 3:16:00 lr: 1.66999919101734e-05 loss: 0.0463 (0.0470) loss_seg: 0.0458 (0.0466) loss_lansim: 0.0375 (0.0394) loss_contra: 0.0003 (0.0024) time: 2.7110 data: 0.0057 max mem: 31630 Epoch: [28] [ 920/5278] eta: 3:15:34 lr: 1.669758420282688e-05 loss: 0.0454 (0.0469) loss_seg: 0.0450 (0.0465) loss_lansim: 0.0374 (0.0394) loss_contra: 0.0003 (0.0024) time: 2.7110 data: 0.0058 max mem: 31630 Epoch: [28] [ 930/5278] eta: 3:15:08 lr: 1.6695176456904276e-05 loss: 0.0443 (0.0469) loss_seg: 0.0439 (0.0465) loss_lansim: 0.0366 (0.0393) loss_contra: 0.0003 (0.0024) time: 2.7114 data: 0.0058 max mem: 31630 Epoch: [28] [ 940/5278] eta: 3:14:41 lr: 1.6692768672398782e-05 loss: 0.0447 (0.0469) loss_seg: 0.0442 (0.0465) loss_lansim: 0.0364 (0.0393) loss_contra: 0.0003 (0.0023) time: 2.7102 data: 0.0058 max mem: 31630 Epoch: [28] [ 950/5278] eta: 3:14:16 lr: 1.669036084930359e-05 loss: 0.0454 (0.0469) loss_seg: 0.0450 (0.0465) loss_lansim: 0.0357 (0.0392) loss_contra: 0.0003 (0.0024) time: 2.7099 data: 0.0058 max mem: 31630 Epoch: [28] [ 960/5278] eta: 3:13:50 lr: 1.6687952987611908e-05 loss: 0.0465 (0.0470) loss_seg: 0.0459 (0.0466) loss_lansim: 0.0349 (0.0392) loss_contra: 0.0003 (0.0024) time: 2.7145 data: 0.0059 max mem: 31630 Epoch: [28] [ 970/5278] eta: 3:13:25 lr: 1.668554508731692e-05 loss: 0.0454 (0.0471) loss_seg: 0.0450 (0.0466) loss_lansim: 0.0348 (0.0391) loss_contra: 0.0003 (0.0023) time: 2.7118 data: 0.0058 max mem: 31630 Epoch: [28] [ 980/5278] eta: 3:12:58 lr: 1.668313714841182e-05 loss: 0.0447 (0.0471) loss_seg: 0.0442 (0.0466) loss_lansim: 0.0337 (0.0390) loss_contra: 0.0003 (0.0023) time: 2.7100 data: 0.0057 max mem: 31630 Epoch: [28] [ 990/5278] eta: 3:12:31 lr: 1.6680729170889802e-05 loss: 0.0447 (0.0472) loss_seg: 0.0442 (0.0468) loss_lansim: 0.0334 (0.0390) loss_contra: 0.0003 (0.0023) time: 2.7086 data: 0.0057 max mem: 31630 Epoch: [28] [1000/5278] eta: 3:12:03 lr: 1.6678321154744043e-05 loss: 0.0450 (0.0473) loss_seg: 0.0446 (0.0468) loss_lansim: 0.0338 (0.0390) loss_contra: 0.0003 (0.0023) time: 2.7077 data: 0.0057 max mem: 31630 Epoch: [28] [1010/5278] eta: 3:11:38 lr: 1.667591309996774e-05 loss: 0.0456 (0.0473) loss_seg: 0.0453 (0.0469) loss_lansim: 0.0341 (0.0390) loss_contra: 0.0004 (0.0023) time: 2.7101 data: 0.0057 max mem: 31630 Epoch: [28] [1020/5278] eta: 3:11:13 lr: 1.667350500655406e-05 loss: 0.0468 (0.0473) loss_seg: 0.0464 (0.0469) loss_lansim: 0.0341 (0.0389) loss_contra: 0.0005 (0.0023) time: 2.7114 data: 0.0056 max mem: 31630 Epoch: [28] [1030/5278] eta: 3:10:46 lr: 1.6671096874496184e-05 loss: 0.0472 (0.0473) loss_seg: 0.0468 (0.0469) loss_lansim: 0.0341 (0.0389) loss_contra: 0.0004 (0.0023) time: 2.7116 data: 0.0055 max mem: 31630 Epoch: [28] [1040/5278] eta: 3:10:20 lr: 1.6668688703787298e-05 loss: 0.0473 (0.0473) loss_seg: 0.0470 (0.0469) loss_lansim: 0.0341 (0.0389) loss_contra: 0.0004 (0.0023) time: 2.7135 data: 0.0055 max mem: 31630 Epoch: [28] [1050/5278] eta: 3:09:54 lr: 1.666628049442058e-05 loss: 0.0456 (0.0472) loss_seg: 0.0453 (0.0468) loss_lansim: 0.0341 (0.0388) loss_contra: 0.0004 (0.0023) time: 2.7114 data: 0.0054 max mem: 31630 Epoch: [28] [1060/5278] eta: 3:09:27 lr: 1.666387224638919e-05 loss: 0.0450 (0.0473) loss_seg: 0.0447 (0.0468) loss_lansim: 0.0348 (0.0388) loss_contra: 0.0004 (0.0023) time: 2.7101 data: 0.0054 max mem: 31630 Epoch: [28] [1070/5278] eta: 3:09:01 lr: 1.666146395968631e-05 loss: 0.0450 (0.0473) loss_seg: 0.0446 (0.0469) loss_lansim: 0.0349 (0.0388) loss_contra: 0.0004 (0.0023) time: 2.7093 data: 0.0054 max mem: 31630 Epoch: [28] [1080/5278] eta: 3:08:36 lr: 1.6659055634305093e-05 loss: 0.0449 (0.0473) loss_seg: 0.0445 (0.0468) loss_lansim: 0.0351 (0.0388) loss_contra: 0.0004 (0.0023) time: 2.7122 data: 0.0054 max mem: 31630 Epoch: [28] [1090/5278] eta: 3:08:08 lr: 1.665664727023872e-05 loss: 0.0433 (0.0472) loss_seg: 0.0430 (0.0468) loss_lansim: 0.0349 (0.0387) loss_contra: 0.0003 (0.0023) time: 2.7098 data: 0.0054 max mem: 31630 Epoch: [28] [1100/5278] eta: 3:07:42 lr: 1.6654238867480354e-05 loss: 0.0425 (0.0472) loss_seg: 0.0422 (0.0468) loss_lansim: 0.0348 (0.0387) loss_contra: 0.0003 (0.0022) time: 2.7137 data: 0.0054 max mem: 31630 Epoch: [28] [1110/5278] eta: 3:07:16 lr: 1.6651830426023143e-05 loss: 0.0419 (0.0472) loss_seg: 0.0415 (0.0468) loss_lansim: 0.0349 (0.0387) loss_contra: 0.0003 (0.0022) time: 2.7127 data: 0.0054 max mem: 31630 Epoch: [28] [1120/5278] eta: 3:06:48 lr: 1.6649421945860256e-05 loss: 0.0418 (0.0472) loss_seg: 0.0415 (0.0468) loss_lansim: 0.0348 (0.0386) loss_contra: 0.0003 (0.0022) time: 2.7088 data: 0.0054 max mem: 31630 Epoch: [28] [1130/5278] eta: 3:06:22 lr: 1.6647013426984847e-05 loss: 0.0425 (0.0472) loss_seg: 0.0422 (0.0468) loss_lansim: 0.0347 (0.0386) loss_contra: 0.0003 (0.0022) time: 2.7080 data: 0.0054 max mem: 31630 Epoch: [28] [1140/5278] eta: 3:05:54 lr: 1.6644604869390078e-05 loss: 0.0431 (0.0472) loss_seg: 0.0428 (0.0468) loss_lansim: 0.0343 (0.0385) loss_contra: 0.0004 (0.0022) time: 2.7060 data: 0.0055 max mem: 31630 Epoch: [28] [1150/5278] eta: 3:05:29 lr: 1.6642196273069084e-05 loss: 0.0442 (0.0473) loss_seg: 0.0439 (0.0469) loss_lansim: 0.0341 (0.0385) loss_contra: 0.0004 (0.0022) time: 2.7074 data: 0.0054 max mem: 31630 Epoch: [28] [1160/5278] eta: 3:05:03 lr: 1.663978763801503e-05 loss: 0.0442 (0.0473) loss_seg: 0.0439 (0.0469) loss_lansim: 0.0340 (0.0385) loss_contra: 0.0004 (0.0022) time: 2.7085 data: 0.0054 max mem: 31630 Epoch: [28] [1170/5278] eta: 3:04:36 lr: 1.663737896422105e-05 loss: 0.0458 (0.0475) loss_seg: 0.0455 (0.0471) loss_lansim: 0.0339 (0.0384) loss_contra: 0.0003 (0.0022) time: 2.7085 data: 0.0054 max mem: 31630 Epoch: [28] [1180/5278] eta: 3:04:09 lr: 1.6634970251680306e-05 loss: 0.0458 (0.0476) loss_seg: 0.0455 (0.0472) loss_lansim: 0.0336 (0.0384) loss_contra: 0.0003 (0.0022) time: 2.7034 data: 0.0053 max mem: 31630 Epoch: [28] [1190/5278] eta: 3:03:43 lr: 1.6632561500385927e-05 loss: 0.0470 (0.0476) loss_seg: 0.0466 (0.0471) loss_lansim: 0.0336 (0.0383) loss_contra: 0.0003 (0.0022) time: 2.7074 data: 0.0053 max mem: 31630 Epoch: [28] [1200/5278] eta: 3:03:15 lr: 1.6630152710331056e-05 loss: 0.0473 (0.0475) loss_seg: 0.0467 (0.0471) loss_lansim: 0.0339 (0.0383) loss_contra: 0.0003 (0.0022) time: 2.7053 data: 0.0053 max mem: 31630 Epoch: [28] [1210/5278] eta: 3:02:50 lr: 1.6627743881508832e-05 loss: 0.0474 (0.0475) loss_seg: 0.0469 (0.0471) loss_lansim: 0.0336 (0.0383) loss_contra: 0.0003 (0.0022) time: 2.7059 data: 0.0053 max mem: 31630 Epoch: [28] [1220/5278] eta: 3:02:22 lr: 1.6625335013912398e-05 loss: 0.0466 (0.0475) loss_seg: 0.0462 (0.0471) loss_lansim: 0.0336 (0.0383) loss_contra: 0.0003 (0.0022) time: 2.7052 data: 0.0053 max mem: 31630 Epoch: [28] [1230/5278] eta: 3:01:56 lr: 1.6622926107534876e-05 loss: 0.0466 (0.0475) loss_seg: 0.0462 (0.0471) loss_lansim: 0.0336 (0.0382) loss_contra: 0.0003 (0.0022) time: 2.7064 data: 0.0053 max mem: 31630 Epoch: [28] [1240/5278] eta: 3:01:28 lr: 1.6620517162369397e-05 loss: 0.0473 (0.0477) loss_seg: 0.0467 (0.0473) loss_lansim: 0.0339 (0.0382) loss_contra: 0.0003 (0.0022) time: 2.7047 data: 0.0052 max mem: 31630 Epoch: [28] [1250/5278] eta: 3:01:03 lr: 1.6618108178409097e-05 loss: 0.0466 (0.0477) loss_seg: 0.0462 (0.0473) loss_lansim: 0.0344 (0.0382) loss_contra: 0.0003 (0.0022) time: 2.7068 data: 0.0052 max mem: 31630 Epoch: [28] [1260/5278] eta: 3:00:36 lr: 1.6615699155647107e-05 loss: 0.0460 (0.0477) loss_seg: 0.0456 (0.0473) loss_lansim: 0.0353 (0.0382) loss_contra: 0.0003 (0.0023) time: 2.7049 data: 0.0052 max mem: 31630 Epoch: [28] [1270/5278] eta: 3:00:09 lr: 1.6613290094076536e-05 loss: 0.0443 (0.0476) loss_seg: 0.0439 (0.0472) loss_lansim: 0.0363 (0.0383) loss_contra: 0.0003 (0.0022) time: 2.7036 data: 0.0052 max mem: 31630 Epoch: [28] [1280/5278] eta: 2:59:41 lr: 1.6610880993690514e-05 loss: 0.0445 (0.0476) loss_seg: 0.0441 (0.0472) loss_lansim: 0.0369 (0.0383) loss_contra: 0.0003 (0.0023) time: 2.7032 data: 0.0052 max mem: 31630 Epoch: [28] [1290/5278] eta: 2:59:16 lr: 1.660847185448216e-05 loss: 0.0443 (0.0476) loss_seg: 0.0439 (0.0472) loss_lansim: 0.0374 (0.0383) loss_contra: 0.0002 (0.0022) time: 2.7072 data: 0.0052 max mem: 31630 Epoch: [28] [1300/5278] eta: 2:58:49 lr: 1.6606062676444597e-05 loss: 0.0450 (0.0477) loss_seg: 0.0447 (0.0473) loss_lansim: 0.0386 (0.0384) loss_contra: 0.0002 (0.0022) time: 2.7056 data: 0.0052 max mem: 31630 Epoch: [28] [1310/5278] eta: 2:58:23 lr: 1.6603653459570932e-05 loss: 0.0450 (0.0477) loss_seg: 0.0445 (0.0473) loss_lansim: 0.0396 (0.0384) loss_contra: 0.0003 (0.0023) time: 2.7064 data: 0.0052 max mem: 31630 Epoch: [28] [1320/5278] eta: 2:57:56 lr: 1.6601244203854274e-05 loss: 0.0462 (0.0477) loss_seg: 0.0458 (0.0473) loss_lansim: 0.0406 (0.0384) loss_contra: 0.0003 (0.0022) time: 2.7078 data: 0.0051 max mem: 31630 Epoch: [28] [1330/5278] eta: 2:57:29 lr: 1.6598834909287742e-05 loss: 0.0460 (0.0477) loss_seg: 0.0456 (0.0473) loss_lansim: 0.0412 (0.0384) loss_contra: 0.0003 (0.0022) time: 2.7080 data: 0.0051 max mem: 31630 Epoch: [28] [1340/5278] eta: 2:57:02 lr: 1.6596425575864437e-05 loss: 0.0460 (0.0477) loss_seg: 0.0456 (0.0473) loss_lansim: 0.0416 (0.0384) loss_contra: 0.0003 (0.0022) time: 2.7110 data: 0.0052 max mem: 31630 Epoch: [28] [1350/5278] eta: 2:56:36 lr: 1.6594016203577475e-05 loss: 0.0458 (0.0478) loss_seg: 0.0454 (0.0474) loss_lansim: 0.0417 (0.0385) loss_contra: 0.0002 (0.0022) time: 2.7083 data: 0.0053 max mem: 31630 Epoch: [28] [1360/5278] eta: 2:56:09 lr: 1.6591606792419948e-05 loss: 0.0458 (0.0478) loss_seg: 0.0454 (0.0474) loss_lansim: 0.0417 (0.0385) loss_contra: 0.0002 (0.0022) time: 2.7067 data: 0.0053 max mem: 31630 Epoch: [28] [1370/5278] eta: 2:55:42 lr: 1.6589197342384956e-05 loss: 0.0459 (0.0477) loss_seg: 0.0455 (0.0473) loss_lansim: 0.0416 (0.0385) loss_contra: 0.0002 (0.0022) time: 2.7061 data: 0.0054 max mem: 31630 Epoch: [28] [1380/5278] eta: 2:55:15 lr: 1.6586787853465606e-05 loss: 0.0462 (0.0478) loss_seg: 0.0458 (0.0474) loss_lansim: 0.0417 (0.0385) loss_contra: 0.0002 (0.0022) time: 2.7084 data: 0.0055 max mem: 31630 Epoch: [28] [1390/5278] eta: 2:54:48 lr: 1.6584378325654996e-05 loss: 0.0463 (0.0478) loss_seg: 0.0460 (0.0473) loss_lansim: 0.0415 (0.0386) loss_contra: 0.0003 (0.0022) time: 2.7018 data: 0.0055 max mem: 31630 Epoch: [28] [1400/5278] eta: 2:54:21 lr: 1.6581968758946207e-05 loss: 0.0433 (0.0477) loss_seg: 0.0430 (0.0473) loss_lansim: 0.0415 (0.0386) loss_contra: 0.0002 (0.0022) time: 2.7052 data: 0.0055 max mem: 31630 Epoch: [28] [1410/5278] eta: 2:53:53 lr: 1.6579559153332338e-05 loss: 0.0438 (0.0477) loss_seg: 0.0434 (0.0473) loss_lansim: 0.0404 (0.0385) loss_contra: 0.0002 (0.0023) time: 2.6990 data: 0.0055 max mem: 31630 Epoch: [28] [1420/5278] eta: 2:53:27 lr: 1.657714950880648e-05 loss: 0.0438 (0.0478) loss_seg: 0.0434 (0.0473) loss_lansim: 0.0398 (0.0385) loss_contra: 0.0002 (0.0023) time: 2.6997 data: 0.0055 max mem: 31630 Epoch: [28] [1430/5278] eta: 2:53:00 lr: 1.6574739825361717e-05 loss: 0.0458 (0.0479) loss_seg: 0.0454 (0.0475) loss_lansim: 0.0391 (0.0385) loss_contra: 0.0002 (0.0023) time: 2.6982 data: 0.0055 max mem: 31630 Epoch: [28] [1440/5278] eta: 2:52:32 lr: 1.657233010299113e-05 loss: 0.0442 (0.0478) loss_seg: 0.0439 (0.0474) loss_lansim: 0.0384 (0.0385) loss_contra: 0.0002 (0.0023) time: 2.6954 data: 0.0055 max mem: 31630 Epoch: [28] [1450/5278] eta: 2:52:06 lr: 1.6569920341687806e-05 loss: 0.0446 (0.0481) loss_seg: 0.0442 (0.0476) loss_lansim: 0.0371 (0.0384) loss_contra: 0.0002 (0.0023) time: 2.6942 data: 0.0055 max mem: 31630 Epoch: [28] [1460/5278] eta: 2:51:39 lr: 1.656751054144482e-05 loss: 0.0462 (0.0480) loss_seg: 0.0458 (0.0476) loss_lansim: 0.0365 (0.0384) loss_contra: 0.0003 (0.0023) time: 2.6960 data: 0.0055 max mem: 31630 Epoch: [28] [1470/5278] eta: 2:51:11 lr: 1.6565100702255262e-05 loss: 0.0462 (0.0480) loss_seg: 0.0458 (0.0476) loss_lansim: 0.0359 (0.0384) loss_contra: 0.0002 (0.0023) time: 2.6941 data: 0.0054 max mem: 31630 Epoch: [28] [1480/5278] eta: 2:50:45 lr: 1.656269082411219e-05 loss: 0.0444 (0.0480) loss_seg: 0.0440 (0.0476) loss_lansim: 0.0354 (0.0384) loss_contra: 0.0002 (0.0023) time: 2.6965 data: 0.0053 max mem: 31630 Epoch: [28] [1490/5278] eta: 2:50:17 lr: 1.6560280907008684e-05 loss: 0.0442 (0.0480) loss_seg: 0.0439 (0.0476) loss_lansim: 0.0355 (0.0384) loss_contra: 0.0002 (0.0024) time: 2.6957 data: 0.0053 max mem: 31630 Epoch: [28] [1500/5278] eta: 2:49:51 lr: 1.6557870950937816e-05 loss: 0.0473 (0.0481) loss_seg: 0.0470 (0.0477) loss_lansim: 0.0353 (0.0383) loss_contra: 0.0002 (0.0023) time: 2.6973 data: 0.0053 max mem: 31630 Epoch: [28] [1510/5278] eta: 2:49:24 lr: 1.6555460955892654e-05 loss: 0.0485 (0.0481) loss_seg: 0.0482 (0.0477) loss_lansim: 0.0352 (0.0383) loss_contra: 0.0002 (0.0023) time: 2.6982 data: 0.0053 max mem: 31630 Epoch: [28] [1520/5278] eta: 2:48:57 lr: 1.655305092186626e-05 loss: 0.0467 (0.0480) loss_seg: 0.0464 (0.0476) loss_lansim: 0.0353 (0.0383) loss_contra: 0.0002 (0.0023) time: 2.6983 data: 0.0053 max mem: 31630 Epoch: [28] [1530/5278] eta: 2:48:30 lr: 1.6550640848851696e-05 loss: 0.0446 (0.0480) loss_seg: 0.0442 (0.0476) loss_lansim: 0.0354 (0.0383) loss_contra: 0.0002 (0.0023) time: 2.6978 data: 0.0053 max mem: 31630 Epoch: [28] [1540/5278] eta: 2:48:03 lr: 1.6548230736842032e-05 loss: 0.0473 (0.0481) loss_seg: 0.0470 (0.0477) loss_lansim: 0.0354 (0.0383) loss_contra: 0.0002 (0.0023) time: 2.6994 data: 0.0052 max mem: 31630 Epoch: [28] [1550/5278] eta: 2:47:36 lr: 1.6545820585830322e-05 loss: 0.0459 (0.0481) loss_seg: 0.0455 (0.0477) loss_lansim: 0.0355 (0.0383) loss_contra: 0.0002 (0.0023) time: 2.6992 data: 0.0051 max mem: 31630 Epoch: [28] [1560/5278] eta: 2:47:09 lr: 1.6543410395809615e-05 loss: 0.0456 (0.0481) loss_seg: 0.0452 (0.0477) loss_lansim: 0.0356 (0.0383) loss_contra: 0.0002 (0.0023) time: 2.6968 data: 0.0051 max mem: 31630 Epoch: [28] [1570/5278] eta: 2:46:42 lr: 1.654100016677297e-05 loss: 0.0457 (0.0481) loss_seg: 0.0453 (0.0477) loss_lansim: 0.0356 (0.0382) loss_contra: 0.0002 (0.0023) time: 2.6998 data: 0.0051 max mem: 31630 Epoch: [28] [1580/5278] eta: 2:46:15 lr: 1.653858989871344e-05 loss: 0.0459 (0.0481) loss_seg: 0.0455 (0.0477) loss_lansim: 0.0356 (0.0382) loss_contra: 0.0002 (0.0023) time: 2.6954 data: 0.0052 max mem: 31630 Epoch: [28] [1590/5278] eta: 2:45:49 lr: 1.6536179591624076e-05 loss: 0.0480 (0.0481) loss_seg: 0.0476 (0.0477) loss_lansim: 0.0353 (0.0382) loss_contra: 0.0002 (0.0023) time: 2.7014 data: 0.0052 max mem: 31630 Epoch: [28] [1600/5278] eta: 2:45:22 lr: 1.6533769245497923e-05 loss: 0.0463 (0.0482) loss_seg: 0.0459 (0.0478) loss_lansim: 0.0355 (0.0382) loss_contra: 0.0002 (0.0023) time: 2.6980 data: 0.0052 max mem: 31630 Epoch: [28] [1610/5278] eta: 2:44:55 lr: 1.6531358860328018e-05 loss: 0.0462 (0.0482) loss_seg: 0.0458 (0.0478) loss_lansim: 0.0355 (0.0382) loss_contra: 0.0002 (0.0023) time: 2.7016 data: 0.0052 max mem: 31630 Epoch: [28] [1620/5278] eta: 2:44:28 lr: 1.6528948436107413e-05 loss: 0.0469 (0.0482) loss_seg: 0.0465 (0.0478) loss_lansim: 0.0356 (0.0382) loss_contra: 0.0002 (0.0023) time: 2.6988 data: 0.0052 max mem: 31630 Epoch: [28] [1630/5278] eta: 2:44:01 lr: 1.6526537972829144e-05 loss: 0.0480 (0.0482) loss_seg: 0.0477 (0.0478) loss_lansim: 0.0355 (0.0382) loss_contra: 0.0002 (0.0023) time: 2.7007 data: 0.0052 max mem: 31630 Epoch: [28] [1640/5278] eta: 2:43:34 lr: 1.6524127470486247e-05 loss: 0.0463 (0.0483) loss_seg: 0.0459 (0.0479) loss_lansim: 0.0353 (0.0382) loss_contra: 0.0002 (0.0023) time: 2.7000 data: 0.0052 max mem: 31630 Epoch: [28] [1650/5278] eta: 2:43:06 lr: 1.6521716929071756e-05 loss: 0.0462 (0.0483) loss_seg: 0.0458 (0.0479) loss_lansim: 0.0349 (0.0381) loss_contra: 0.0002 (0.0023) time: 2.6964 data: 0.0052 max mem: 31630 Epoch: [28] [1660/5278] eta: 2:42:39 lr: 1.6519306348578706e-05 loss: 0.0469 (0.0483) loss_seg: 0.0465 (0.0479) loss_lansim: 0.0349 (0.0381) loss_contra: 0.0002 (0.0024) time: 2.6991 data: 0.0052 max mem: 31630 Epoch: [28] [1670/5278] eta: 2:42:12 lr: 1.6516895729000126e-05 loss: 0.0463 (0.0483) loss_seg: 0.0459 (0.0479) loss_lansim: 0.0343 (0.0380) loss_contra: 0.0002 (0.0024) time: 2.6956 data: 0.0052 max mem: 31630 Epoch: [28] [1680/5278] eta: 2:41:45 lr: 1.6514485070329045e-05 loss: 0.0462 (0.0484) loss_seg: 0.0459 (0.0480) loss_lansim: 0.0342 (0.0380) loss_contra: 0.0002 (0.0024) time: 2.6987 data: 0.0052 max mem: 31630 Epoch: [28] [1690/5278] eta: 2:41:18 lr: 1.651207437255849e-05 loss: 0.0438 (0.0484) loss_seg: 0.0428 (0.0480) loss_lansim: 0.0340 (0.0380) loss_contra: 0.0003 (0.0024) time: 2.6952 data: 0.0052 max mem: 31630 Epoch: [28] [1700/5278] eta: 2:40:52 lr: 1.6509663635681474e-05 loss: 0.0427 (0.0483) loss_seg: 0.0421 (0.0479) loss_lansim: 0.0334 (0.0380) loss_contra: 0.0004 (0.0024) time: 2.6970 data: 0.0052 max mem: 31630 Epoch: [28] [1710/5278] eta: 2:40:25 lr: 1.650725285969103e-05 loss: 0.0431 (0.0484) loss_seg: 0.0423 (0.0480) loss_lansim: 0.0331 (0.0379) loss_contra: 0.0003 (0.0024) time: 2.6941 data: 0.0052 max mem: 31630 Epoch: [28] [1720/5278] eta: 2:39:58 lr: 1.6504842044580174e-05 loss: 0.0431 (0.0484) loss_seg: 0.0427 (0.0480) loss_lansim: 0.0323 (0.0379) loss_contra: 0.0002 (0.0023) time: 2.6962 data: 0.0052 max mem: 31630 Epoch: [28] [1730/5278] eta: 2:39:31 lr: 1.6502431190341915e-05 loss: 0.0431 (0.0484) loss_seg: 0.0423 (0.0480) loss_lansim: 0.0323 (0.0379) loss_contra: 0.0002 (0.0023) time: 2.6975 data: 0.0052 max mem: 31630 Epoch: [28] [1740/5278] eta: 2:39:04 lr: 1.650002029696927e-05 loss: 0.0431 (0.0484) loss_seg: 0.0427 (0.0480) loss_lansim: 0.0318 (0.0379) loss_contra: 0.0002 (0.0023) time: 2.6984 data: 0.0052 max mem: 31630 Epoch: [28] [1750/5278] eta: 2:38:37 lr: 1.649760936445525e-05 loss: 0.0433 (0.0484) loss_seg: 0.0428 (0.0480) loss_lansim: 0.0318 (0.0378) loss_contra: 0.0002 (0.0023) time: 2.7023 data: 0.0053 max mem: 31630 Epoch: [28] [1760/5278] eta: 2:38:10 lr: 1.649519839279287e-05 loss: 0.0420 (0.0484) loss_seg: 0.0416 (0.0480) loss_lansim: 0.0315 (0.0378) loss_contra: 0.0002 (0.0023) time: 2.6986 data: 0.0053 max mem: 31630 Epoch: [28] [1770/5278] eta: 2:37:43 lr: 1.6492787381975125e-05 loss: 0.0419 (0.0484) loss_seg: 0.0416 (0.0480) loss_lansim: 0.0323 (0.0378) loss_contra: 0.0002 (0.0023) time: 2.7042 data: 0.0053 max mem: 31630 Epoch: [28] [1780/5278] eta: 2:37:16 lr: 1.6490376331995026e-05 loss: 0.0419 (0.0484) loss_seg: 0.0416 (0.0480) loss_lansim: 0.0326 (0.0378) loss_contra: 0.0003 (0.0023) time: 2.7016 data: 0.0053 max mem: 31630 Epoch: [28] [1790/5278] eta: 2:36:50 lr: 1.6487965242845572e-05 loss: 0.0438 (0.0484) loss_seg: 0.0434 (0.0480) loss_lansim: 0.0325 (0.0377) loss_contra: 0.0003 (0.0023) time: 2.7025 data: 0.0053 max mem: 31630 Epoch: [28] [1800/5278] eta: 2:36:22 lr: 1.6485554114519764e-05 loss: 0.0462 (0.0484) loss_seg: 0.0459 (0.0480) loss_lansim: 0.0327 (0.0377) loss_contra: 0.0004 (0.0023) time: 2.7003 data: 0.0053 max mem: 31630 Epoch: [28] [1810/5278] eta: 2:35:56 lr: 1.64831429470106e-05 loss: 0.0444 (0.0484) loss_seg: 0.0440 (0.0480) loss_lansim: 0.0332 (0.0377) loss_contra: 0.0004 (0.0023) time: 2.7065 data: 0.0053 max mem: 31630 Epoch: [28] [1820/5278] eta: 2:35:29 lr: 1.648073174031107e-05 loss: 0.0438 (0.0484) loss_seg: 0.0434 (0.0480) loss_lansim: 0.0335 (0.0377) loss_contra: 0.0004 (0.0023) time: 2.7066 data: 0.0053 max mem: 31630 Epoch: [28] [1830/5278] eta: 2:35:03 lr: 1.647832049441417e-05 loss: 0.0438 (0.0484) loss_seg: 0.0434 (0.0480) loss_lansim: 0.0335 (0.0377) loss_contra: 0.0003 (0.0023) time: 2.7066 data: 0.0053 max mem: 31630 Epoch: [28] [1840/5278] eta: 2:34:36 lr: 1.6475909209312887e-05 loss: 0.0444 (0.0484) loss_seg: 0.0440 (0.0480) loss_lansim: 0.0339 (0.0376) loss_contra: 0.0003 (0.0023) time: 2.7088 data: 0.0053 max mem: 31630 Epoch: [28] [1850/5278] eta: 2:34:10 lr: 1.6473497885000212e-05 loss: 0.0444 (0.0485) loss_seg: 0.0440 (0.0481) loss_lansim: 0.0344 (0.0376) loss_contra: 0.0003 (0.0023) time: 2.7087 data: 0.0053 max mem: 31630 Epoch: [28] [1860/5278] eta: 2:33:42 lr: 1.6471086521469126e-05 loss: 0.0446 (0.0486) loss_seg: 0.0443 (0.0482) loss_lansim: 0.0345 (0.0376) loss_contra: 0.0002 (0.0023) time: 2.7105 data: 0.0053 max mem: 31630 Epoch: [28] [1870/5278] eta: 2:33:16 lr: 1.6468675118712608e-05 loss: 0.0451 (0.0486) loss_seg: 0.0448 (0.0482) loss_lansim: 0.0341 (0.0376) loss_contra: 0.0002 (0.0023) time: 2.7095 data: 0.0053 max mem: 31630 Epoch: [28] [1880/5278] eta: 2:32:49 lr: 1.646626367672365e-05 loss: 0.0451 (0.0486) loss_seg: 0.0448 (0.0482) loss_lansim: 0.0341 (0.0376) loss_contra: 0.0002 (0.0023) time: 2.7104 data: 0.0053 max mem: 31630 Epoch: [28] [1890/5278] eta: 2:32:22 lr: 1.646385219549522e-05 loss: 0.0446 (0.0486) loss_seg: 0.0443 (0.0482) loss_lansim: 0.0343 (0.0376) loss_contra: 0.0002 (0.0023) time: 2.7109 data: 0.0053 max mem: 31630 Epoch: [28] [1900/5278] eta: 2:31:55 lr: 1.6461440675020292e-05 loss: 0.0446 (0.0486) loss_seg: 0.0443 (0.0482) loss_lansim: 0.0343 (0.0375) loss_contra: 0.0002 (0.0023) time: 2.7134 data: 0.0053 max mem: 31630 Epoch: [28] [1910/5278] eta: 2:31:28 lr: 1.6459029115291842e-05 loss: 0.0451 (0.0486) loss_seg: 0.0448 (0.0482) loss_lansim: 0.0341 (0.0375) loss_contra: 0.0002 (0.0023) time: 2.7065 data: 0.0053 max mem: 31630 Epoch: [28] [1920/5278] eta: 2:31:01 lr: 1.6456617516302842e-05 loss: 0.0468 (0.0486) loss_seg: 0.0464 (0.0482) loss_lansim: 0.0339 (0.0375) loss_contra: 0.0002 (0.0023) time: 2.7079 data: 0.0053 max mem: 31630 Epoch: [28] [1930/5278] eta: 2:30:34 lr: 1.6454205878046265e-05 loss: 0.0463 (0.0486) loss_seg: 0.0460 (0.0482) loss_lansim: 0.0339 (0.0375) loss_contra: 0.0002 (0.0023) time: 2.7031 data: 0.0053 max mem: 31630 Epoch: [28] [1940/5278] eta: 2:30:08 lr: 1.645179420051506e-05 loss: 0.0459 (0.0486) loss_seg: 0.0455 (0.0482) loss_lansim: 0.0339 (0.0375) loss_contra: 0.0002 (0.0023) time: 2.7057 data: 0.0053 max mem: 31630 Epoch: [28] [1950/5278] eta: 2:29:41 lr: 1.6449382483702206e-05 loss: 0.0461 (0.0486) loss_seg: 0.0457 (0.0482) loss_lansim: 0.0339 (0.0374) loss_contra: 0.0003 (0.0023) time: 2.7047 data: 0.0053 max mem: 31630 Epoch: [28] [1960/5278] eta: 2:29:14 lr: 1.6446970727600656e-05 loss: 0.0459 (0.0486) loss_seg: 0.0455 (0.0482) loss_lansim: 0.0339 (0.0374) loss_contra: 0.0003 (0.0023) time: 2.7091 data: 0.0053 max mem: 31630 Epoch: [28] [1970/5278] eta: 2:28:47 lr: 1.6444558932203374e-05 loss: 0.0459 (0.0486) loss_seg: 0.0455 (0.0482) loss_lansim: 0.0339 (0.0374) loss_contra: 0.0003 (0.0023) time: 2.7048 data: 0.0053 max mem: 31630 Epoch: [28] [1980/5278] eta: 2:28:20 lr: 1.644214709750331e-05 loss: 0.0449 (0.0486) loss_seg: 0.0446 (0.0482) loss_lansim: 0.0336 (0.0374) loss_contra: 0.0003 (0.0023) time: 2.7047 data: 0.0053 max mem: 31630 Epoch: [28] [1990/5278] eta: 2:27:53 lr: 1.6439735223493418e-05 loss: 0.0439 (0.0485) loss_seg: 0.0433 (0.0481) loss_lansim: 0.0332 (0.0374) loss_contra: 0.0003 (0.0023) time: 2.7005 data: 0.0053 max mem: 31630 Epoch: [28] [2000/5278] eta: 2:27:25 lr: 1.6437323310166652e-05 loss: 0.0437 (0.0485) loss_seg: 0.0433 (0.0481) loss_lansim: 0.0328 (0.0373) loss_contra: 0.0003 (0.0023) time: 2.6970 data: 0.0053 max mem: 31630 Epoch: [28] [2010/5278] eta: 2:26:58 lr: 1.6434911357515965e-05 loss: 0.0432 (0.0485) loss_seg: 0.0429 (0.0481) loss_lansim: 0.0327 (0.0373) loss_contra: 0.0003 (0.0023) time: 2.6968 data: 0.0054 max mem: 31630 Epoch: [28] [2020/5278] eta: 2:26:31 lr: 1.6432499365534296e-05 loss: 0.0428 (0.0485) loss_seg: 0.0424 (0.0481) loss_lansim: 0.0323 (0.0373) loss_contra: 0.0003 (0.0023) time: 2.6925 data: 0.0054 max mem: 31630 Epoch: [28] [2030/5278] eta: 2:26:04 lr: 1.6430087334214588e-05 loss: 0.0428 (0.0485) loss_seg: 0.0424 (0.0481) loss_lansim: 0.0321 (0.0372) loss_contra: 0.0003 (0.0023) time: 2.6940 data: 0.0054 max mem: 31630 Epoch: [28] [2040/5278] eta: 2:25:36 lr: 1.6427675263549785e-05 loss: 0.0426 (0.0485) loss_seg: 0.0423 (0.0481) loss_lansim: 0.0316 (0.0372) loss_contra: 0.0003 (0.0024) time: 2.6864 data: 0.0054 max mem: 31630 Epoch: [28] [2050/5278] eta: 2:25:10 lr: 1.642526315353283e-05 loss: 0.0424 (0.0485) loss_seg: 0.0420 (0.0481) loss_lansim: 0.0313 (0.0371) loss_contra: 0.0003 (0.0023) time: 2.6903 data: 0.0054 max mem: 31630 Epoch: [28] [2060/5278] eta: 2:24:42 lr: 1.6422851004156663e-05 loss: 0.0425 (0.0485) loss_seg: 0.0421 (0.0481) loss_lansim: 0.0303 (0.0371) loss_contra: 0.0003 (0.0023) time: 2.6846 data: 0.0054 max mem: 31630 Epoch: [28] [2070/5278] eta: 2:24:15 lr: 1.6420438815414204e-05 loss: 0.0425 (0.0485) loss_seg: 0.0422 (0.0481) loss_lansim: 0.0303 (0.0371) loss_contra: 0.0003 (0.0023) time: 2.6873 data: 0.0054 max mem: 31630 Epoch: [28] [2080/5278] eta: 2:23:48 lr: 1.641802658729839e-05 loss: 0.0434 (0.0485) loss_seg: 0.0430 (0.0481) loss_lansim: 0.0303 (0.0370) loss_contra: 0.0003 (0.0024) time: 2.6872 data: 0.0054 max mem: 31630 Epoch: [28] [2090/5278] eta: 2:23:21 lr: 1.6415614319802155e-05 loss: 0.0442 (0.0485) loss_seg: 0.0439 (0.0481) loss_lansim: 0.0302 (0.0370) loss_contra: 0.0003 (0.0024) time: 2.6903 data: 0.0054 max mem: 31630 Epoch: [28] [2100/5278] eta: 2:22:54 lr: 1.641320201291843e-05 loss: 0.0433 (0.0484) loss_seg: 0.0430 (0.0480) loss_lansim: 0.0303 (0.0370) loss_contra: 0.0003 (0.0023) time: 2.6909 data: 0.0054 max mem: 31630 Epoch: [28] [2110/5278] eta: 2:22:27 lr: 1.6410789666640126e-05 loss: 0.0442 (0.0484) loss_seg: 0.0439 (0.0480) loss_lansim: 0.0300 (0.0369) loss_contra: 0.0003 (0.0023) time: 2.6913 data: 0.0053 max mem: 31630 Epoch: [28] [2120/5278] eta: 2:22:00 lr: 1.6408377280960175e-05 loss: 0.0442 (0.0484) loss_seg: 0.0439 (0.0480) loss_lansim: 0.0296 (0.0369) loss_contra: 0.0003 (0.0023) time: 2.6943 data: 0.0053 max mem: 31630 Epoch: [28] [2130/5278] eta: 2:21:33 lr: 1.6405964855871492e-05 loss: 0.0433 (0.0484) loss_seg: 0.0429 (0.0480) loss_lansim: 0.0300 (0.0369) loss_contra: 0.0003 (0.0023) time: 2.6926 data: 0.0053 max mem: 31630 Epoch: [28] [2140/5278] eta: 2:21:06 lr: 1.6403552391367e-05 loss: 0.0432 (0.0484) loss_seg: 0.0427 (0.0480) loss_lansim: 0.0304 (0.0369) loss_contra: 0.0003 (0.0023) time: 2.6962 data: 0.0053 max mem: 31630 Epoch: [28] [2150/5278] eta: 2:20:39 lr: 1.640113988743961e-05 loss: 0.0433 (0.0484) loss_seg: 0.0429 (0.0480) loss_lansim: 0.0304 (0.0368) loss_contra: 0.0003 (0.0024) time: 2.6897 data: 0.0053 max mem: 31630 Epoch: [28] [2160/5278] eta: 2:20:12 lr: 1.6398727344082232e-05 loss: 0.0442 (0.0484) loss_seg: 0.0439 (0.0481) loss_lansim: 0.0304 (0.0368) loss_contra: 0.0003 (0.0024) time: 2.6923 data: 0.0053 max mem: 31630 Epoch: [28] [2170/5278] eta: 2:19:45 lr: 1.6396314761287777e-05 loss: 0.0433 (0.0484) loss_seg: 0.0429 (0.0480) loss_lansim: 0.0302 (0.0368) loss_contra: 0.0003 (0.0024) time: 2.6929 data: 0.0053 max mem: 31630 Epoch: [28] [2180/5278] eta: 2:19:18 lr: 1.6393902139049164e-05 loss: 0.0432 (0.0484) loss_seg: 0.0427 (0.0480) loss_lansim: 0.0302 (0.0367) loss_contra: 0.0003 (0.0024) time: 2.6915 data: 0.0053 max mem: 31630 Epoch: [28] [2190/5278] eta: 2:18:50 lr: 1.6391489477359282e-05 loss: 0.0422 (0.0484) loss_seg: 0.0419 (0.0480) loss_lansim: 0.0302 (0.0367) loss_contra: 0.0003 (0.0024) time: 2.6891 data: 0.0053 max mem: 31630 Epoch: [28] [2200/5278] eta: 2:18:24 lr: 1.6389076776211038e-05 loss: 0.0422 (0.0484) loss_seg: 0.0419 (0.0480) loss_lansim: 0.0302 (0.0367) loss_contra: 0.0003 (0.0024) time: 2.6916 data: 0.0053 max mem: 31630 Epoch: [28] [2210/5278] eta: 2:17:56 lr: 1.6386664035597334e-05 loss: 0.0428 (0.0484) loss_seg: 0.0425 (0.0480) loss_lansim: 0.0302 (0.0367) loss_contra: 0.0003 (0.0024) time: 2.6914 data: 0.0053 max mem: 31630 Epoch: [28] [2220/5278] eta: 2:17:30 lr: 1.6384251255511074e-05 loss: 0.0422 (0.0484) loss_seg: 0.0419 (0.0481) loss_lansim: 0.0303 (0.0366) loss_contra: 0.0003 (0.0024) time: 2.6956 data: 0.0053 max mem: 31630 Epoch: [28] [2230/5278] eta: 2:17:03 lr: 1.638183843594514e-05 loss: 0.0430 (0.0485) loss_seg: 0.0426 (0.0481) loss_lansim: 0.0301 (0.0366) loss_contra: 0.0003 (0.0024) time: 2.6971 data: 0.0053 max mem: 31630 Epoch: [28] [2240/5278] eta: 2:16:36 lr: 1.6379425576892432e-05 loss: 0.0432 (0.0485) loss_seg: 0.0427 (0.0481) loss_lansim: 0.0298 (0.0366) loss_contra: 0.0003 (0.0024) time: 2.6982 data: 0.0053 max mem: 31630 Epoch: [28] [2250/5278] eta: 2:16:09 lr: 1.6377012678345843e-05 loss: 0.0430 (0.0485) loss_seg: 0.0426 (0.0481) loss_lansim: 0.0296 (0.0365) loss_contra: 0.0003 (0.0024) time: 2.6994 data: 0.0053 max mem: 31630 Epoch: [28] [2260/5278] eta: 2:15:42 lr: 1.6374599740298263e-05 loss: 0.0428 (0.0485) loss_seg: 0.0425 (0.0481) loss_lansim: 0.0295 (0.0365) loss_contra: 0.0003 (0.0024) time: 2.6996 data: 0.0054 max mem: 31630 Epoch: [28] [2270/5278] eta: 2:15:15 lr: 1.6372186762742568e-05 loss: 0.0434 (0.0485) loss_seg: 0.0431 (0.0481) loss_lansim: 0.0293 (0.0365) loss_contra: 0.0003 (0.0024) time: 2.6982 data: 0.0054 max mem: 31630 Epoch: [28] [2280/5278] eta: 2:14:48 lr: 1.6369773745671645e-05 loss: 0.0419 (0.0485) loss_seg: 0.0416 (0.0481) loss_lansim: 0.0291 (0.0364) loss_contra: 0.0003 (0.0024) time: 2.7026 data: 0.0054 max mem: 31630 Epoch: [28] [2290/5278] eta: 2:14:21 lr: 1.6367360689078374e-05 loss: 0.0440 (0.0485) loss_seg: 0.0437 (0.0481) loss_lansim: 0.0290 (0.0364) loss_contra: 0.0003 (0.0024) time: 2.7040 data: 0.0055 max mem: 31630 Epoch: [28] [2300/5278] eta: 2:13:55 lr: 1.6364947592955642e-05 loss: 0.0446 (0.0485) loss_seg: 0.0443 (0.0481) loss_lansim: 0.0288 (0.0364) loss_contra: 0.0003 (0.0025) time: 2.7043 data: 0.0055 max mem: 31630 Epoch: [28] [2310/5278] eta: 2:13:28 lr: 1.6362534457296318e-05 loss: 0.0446 (0.0485) loss_seg: 0.0443 (0.0481) loss_lansim: 0.0285 (0.0363) loss_contra: 0.0003 (0.0025) time: 2.7051 data: 0.0056 max mem: 31630 Epoch: [28] [2320/5278] eta: 2:13:01 lr: 1.636012128209327e-05 loss: 0.0453 (0.0485) loss_seg: 0.0450 (0.0481) loss_lansim: 0.0285 (0.0363) loss_contra: 0.0004 (0.0025) time: 2.7059 data: 0.0057 max mem: 31630 Epoch: [28] [2330/5278] eta: 2:12:34 lr: 1.6357708067339376e-05 loss: 0.0470 (0.0485) loss_seg: 0.0463 (0.0481) loss_lansim: 0.0287 (0.0363) loss_contra: 0.0005 (0.0025) time: 2.7055 data: 0.0057 max mem: 31630 Epoch: [28] [2340/5278] eta: 2:12:07 lr: 1.63552948130275e-05 loss: 0.0473 (0.0485) loss_seg: 0.0470 (0.0481) loss_lansim: 0.0283 (0.0362) loss_contra: 0.0005 (0.0025) time: 2.7069 data: 0.0057 max mem: 31630 Epoch: [28] [2350/5278] eta: 2:11:40 lr: 1.6352881519150517e-05 loss: 0.0473 (0.0485) loss_seg: 0.0470 (0.0481) loss_lansim: 0.0285 (0.0362) loss_contra: 0.0006 (0.0025) time: 2.7053 data: 0.0057 max mem: 31630 Epoch: [28] [2360/5278] eta: 2:11:13 lr: 1.635046818570128e-05 loss: 0.0477 (0.0486) loss_seg: 0.0474 (0.0482) loss_lansim: 0.0283 (0.0362) loss_contra: 0.0006 (0.0025) time: 2.7079 data: 0.0056 max mem: 31630 Epoch: [28] [2370/5278] eta: 2:10:46 lr: 1.634805481267265e-05 loss: 0.0477 (0.0486) loss_seg: 0.0475 (0.0482) loss_lansim: 0.0284 (0.0362) loss_contra: 0.0006 (0.0025) time: 2.7049 data: 0.0056 max mem: 31630 Epoch: [28] [2380/5278] eta: 2:10:19 lr: 1.6345641400057493e-05 loss: 0.0507 (0.0486) loss_seg: 0.0504 (0.0483) loss_lansim: 0.0287 (0.0361) loss_contra: 0.0005 (0.0025) time: 2.7042 data: 0.0056 max mem: 31630 Epoch: [28] [2390/5278] eta: 2:09:52 lr: 1.6343227947848666e-05 loss: 0.0486 (0.0486) loss_seg: 0.0483 (0.0482) loss_lansim: 0.0286 (0.0361) loss_contra: 0.0005 (0.0025) time: 2.7054 data: 0.0055 max mem: 31630 Epoch: [28] [2400/5278] eta: 2:09:25 lr: 1.634081445603901e-05 loss: 0.0485 (0.0486) loss_seg: 0.0482 (0.0482) loss_lansim: 0.0289 (0.0361) loss_contra: 0.0004 (0.0024) time: 2.7030 data: 0.0055 max mem: 31630 Epoch: [28] [2410/5278] eta: 2:08:59 lr: 1.6338400924621388e-05 loss: 0.0485 (0.0486) loss_seg: 0.0481 (0.0482) loss_lansim: 0.0289 (0.0361) loss_contra: 0.0004 (0.0024) time: 2.7050 data: 0.0054 max mem: 31630 Epoch: [28] [2420/5278] eta: 2:08:32 lr: 1.6335987353588644e-05 loss: 0.0474 (0.0486) loss_seg: 0.0471 (0.0482) loss_lansim: 0.0289 (0.0360) loss_contra: 0.0003 (0.0024) time: 2.6997 data: 0.0054 max mem: 31630 Epoch: [28] [2430/5278] eta: 2:08:05 lr: 1.633357374293363e-05 loss: 0.0472 (0.0487) loss_seg: 0.0469 (0.0483) loss_lansim: 0.0288 (0.0360) loss_contra: 0.0003 (0.0024) time: 2.7036 data: 0.0054 max mem: 31630 Epoch: [28] [2440/5278] eta: 2:07:38 lr: 1.6331160092649183e-05 loss: 0.0471 (0.0486) loss_seg: 0.0468 (0.0483) loss_lansim: 0.0289 (0.0360) loss_contra: 0.0003 (0.0024) time: 2.6993 data: 0.0054 max mem: 31630 Epoch: [28] [2450/5278] eta: 2:07:11 lr: 1.632874640272814e-05 loss: 0.0467 (0.0486) loss_seg: 0.0464 (0.0483) loss_lansim: 0.0289 (0.0360) loss_contra: 0.0003 (0.0024) time: 2.7034 data: 0.0054 max mem: 31630 Epoch: [28] [2460/5278] eta: 2:06:44 lr: 1.6326332673163356e-05 loss: 0.0461 (0.0487) loss_seg: 0.0458 (0.0483) loss_lansim: 0.0291 (0.0359) loss_contra: 0.0003 (0.0024) time: 2.7043 data: 0.0055 max mem: 31630 Epoch: [28] [2470/5278] eta: 2:06:18 lr: 1.6323918903947656e-05 loss: 0.0455 (0.0487) loss_seg: 0.0452 (0.0483) loss_lansim: 0.0291 (0.0359) loss_contra: 0.0003 (0.0024) time: 2.7106 data: 0.0057 max mem: 31630 Epoch: [28] [2480/5278] eta: 2:05:51 lr: 1.632150509507387e-05 loss: 0.0448 (0.0487) loss_seg: 0.0446 (0.0483) loss_lansim: 0.0289 (0.0359) loss_contra: 0.0003 (0.0024) time: 2.7114 data: 0.0057 max mem: 31630 Epoch: [28] [2490/5278] eta: 2:05:24 lr: 1.631909124653484e-05 loss: 0.0448 (0.0487) loss_seg: 0.0446 (0.0483) loss_lansim: 0.0293 (0.0359) loss_contra: 0.0003 (0.0024) time: 2.7101 data: 0.0057 max mem: 31630 Epoch: [28] [2500/5278] eta: 2:04:57 lr: 1.6316677358323386e-05 loss: 0.0451 (0.0487) loss_seg: 0.0447 (0.0483) loss_lansim: 0.0289 (0.0358) loss_contra: 0.0003 (0.0024) time: 2.7131 data: 0.0057 max mem: 31630 Epoch: [28] [2510/5278] eta: 2:04:30 lr: 1.6314263430432348e-05 loss: 0.0448 (0.0487) loss_seg: 0.0446 (0.0483) loss_lansim: 0.0289 (0.0358) loss_contra: 0.0003 (0.0025) time: 2.7097 data: 0.0058 max mem: 31630 Epoch: [28] [2520/5278] eta: 2:04:03 lr: 1.6311849462854533e-05 loss: 0.0440 (0.0487) loss_seg: 0.0437 (0.0483) loss_lansim: 0.0292 (0.0358) loss_contra: 0.0004 (0.0025) time: 2.7120 data: 0.0058 max mem: 31630 Epoch: [28] [2530/5278] eta: 2:03:36 lr: 1.630943545558277e-05 loss: 0.0452 (0.0488) loss_seg: 0.0449 (0.0484) loss_lansim: 0.0296 (0.0358) loss_contra: 0.0005 (0.0025) time: 2.7093 data: 0.0059 max mem: 31630 Epoch: [28] [2540/5278] eta: 2:03:10 lr: 1.630702140860988e-05 loss: 0.0448 (0.0488) loss_seg: 0.0446 (0.0484) loss_lansim: 0.0296 (0.0358) loss_contra: 0.0003 (0.0025) time: 2.7150 data: 0.0059 max mem: 31630 Epoch: [28] [2550/5278] eta: 2:02:43 lr: 1.6304607321928674e-05 loss: 0.0451 (0.0488) loss_seg: 0.0447 (0.0485) loss_lansim: 0.0298 (0.0358) loss_contra: 0.0003 (0.0025) time: 2.7137 data: 0.0059 max mem: 31630 Epoch: [28] [2560/5278] eta: 2:02:16 lr: 1.6302193195531978e-05 loss: 0.0453 (0.0489) loss_seg: 0.0450 (0.0485) loss_lansim: 0.0304 (0.0357) loss_contra: 0.0003 (0.0025) time: 2.7122 data: 0.0058 max mem: 31630 Epoch: [28] [2570/5278] eta: 2:01:49 lr: 1.629977902941259e-05 loss: 0.0482 (0.0489) loss_seg: 0.0477 (0.0485) loss_lansim: 0.0302 (0.0357) loss_contra: 0.0004 (0.0025) time: 2.7074 data: 0.0056 max mem: 31630 Epoch: [28] [2580/5278] eta: 2:01:22 lr: 1.6297364823563323e-05 loss: 0.0482 (0.0489) loss_seg: 0.0477 (0.0485) loss_lansim: 0.0307 (0.0357) loss_contra: 0.0003 (0.0025) time: 2.7066 data: 0.0057 max mem: 31630 Epoch: [28] [2590/5278] eta: 2:00:55 lr: 1.6294950577976986e-05 loss: 0.0496 (0.0489) loss_seg: 0.0489 (0.0485) loss_lansim: 0.0307 (0.0357) loss_contra: 0.0003 (0.0025) time: 2.7046 data: 0.0057 max mem: 31630 Epoch: [28] [2600/5278] eta: 2:00:28 lr: 1.629253629264639e-05 loss: 0.0496 (0.0490) loss_seg: 0.0489 (0.0486) loss_lansim: 0.0307 (0.0357) loss_contra: 0.0004 (0.0025) time: 2.7026 data: 0.0057 max mem: 31630 Epoch: [28] [2610/5278] eta: 2:00:01 lr: 1.6290121967564322e-05 loss: 0.0492 (0.0489) loss_seg: 0.0484 (0.0486) loss_lansim: 0.0308 (0.0357) loss_contra: 0.0003 (0.0025) time: 2.7046 data: 0.0056 max mem: 31630 Epoch: [28] [2620/5278] eta: 1:59:34 lr: 1.628770760272359e-05 loss: 0.0475 (0.0489) loss_seg: 0.0472 (0.0485) loss_lansim: 0.0307 (0.0356) loss_contra: 0.0003 (0.0025) time: 2.7035 data: 0.0055 max mem: 31630 Epoch: [28] [2630/5278] eta: 1:59:07 lr: 1.6285293198116987e-05 loss: 0.0474 (0.0489) loss_seg: 0.0471 (0.0485) loss_lansim: 0.0305 (0.0356) loss_contra: 0.0002 (0.0025) time: 2.7062 data: 0.0054 max mem: 31630 Epoch: [28] [2640/5278] eta: 1:58:40 lr: 1.6282878753737316e-05 loss: 0.0475 (0.0489) loss_seg: 0.0472 (0.0486) loss_lansim: 0.0310 (0.0356) loss_contra: 0.0002 (0.0025) time: 2.7015 data: 0.0054 max mem: 31630 Epoch: [28] [2650/5278] eta: 1:58:13 lr: 1.6280464269577356e-05 loss: 0.0473 (0.0490) loss_seg: 0.0470 (0.0486) loss_lansim: 0.0309 (0.0356) loss_contra: 0.0002 (0.0025) time: 2.7034 data: 0.0054 max mem: 31630 Epoch: [28] [2660/5278] eta: 1:57:46 lr: 1.62780497456299e-05 loss: 0.0473 (0.0490) loss_seg: 0.0470 (0.0487) loss_lansim: 0.0301 (0.0356) loss_contra: 0.0002 (0.0025) time: 2.6997 data: 0.0054 max mem: 31630 Epoch: [28] [2670/5278] eta: 1:57:19 lr: 1.6275635181887738e-05 loss: 0.0468 (0.0490) loss_seg: 0.0465 (0.0487) loss_lansim: 0.0301 (0.0355) loss_contra: 0.0002 (0.0025) time: 2.7031 data: 0.0054 max mem: 31630 Epoch: [28] [2680/5278] eta: 1:56:52 lr: 1.627322057834366e-05 loss: 0.0472 (0.0491) loss_seg: 0.0469 (0.0487) loss_lansim: 0.0294 (0.0355) loss_contra: 0.0003 (0.0025) time: 2.7024 data: 0.0053 max mem: 31630 Epoch: [28] [2690/5278] eta: 1:56:25 lr: 1.6270805934990435e-05 loss: 0.0469 (0.0491) loss_seg: 0.0466 (0.0487) loss_lansim: 0.0287 (0.0355) loss_contra: 0.0002 (0.0025) time: 2.7058 data: 0.0053 max mem: 31630 Epoch: [28] [2700/5278] eta: 1:55:58 lr: 1.6268391251820846e-05 loss: 0.0468 (0.0491) loss_seg: 0.0465 (0.0487) loss_lansim: 0.0284 (0.0354) loss_contra: 0.0002 (0.0025) time: 2.7072 data: 0.0053 max mem: 31630 Epoch: [28] [2710/5278] eta: 1:55:31 lr: 1.6265976528827674e-05 loss: 0.0468 (0.0491) loss_seg: 0.0465 (0.0487) loss_lansim: 0.0283 (0.0354) loss_contra: 0.0002 (0.0025) time: 2.7068 data: 0.0053 max mem: 31630 Epoch: [28] [2720/5278] eta: 1:55:05 lr: 1.6263561766003696e-05 loss: 0.0469 (0.0490) loss_seg: 0.0466 (0.0487) loss_lansim: 0.0282 (0.0354) loss_contra: 0.0002 (0.0025) time: 2.7064 data: 0.0053 max mem: 31630 Epoch: [28] [2730/5278] eta: 1:54:37 lr: 1.6261146963341676e-05 loss: 0.0462 (0.0490) loss_seg: 0.0459 (0.0487) loss_lansim: 0.0277 (0.0353) loss_contra: 0.0002 (0.0025) time: 2.7022 data: 0.0054 max mem: 31630 Epoch: [28] [2740/5278] eta: 1:54:11 lr: 1.625873212083438e-05 loss: 0.0467 (0.0490) loss_seg: 0.0462 (0.0487) loss_lansim: 0.0271 (0.0353) loss_contra: 0.0002 (0.0025) time: 2.7086 data: 0.0054 max mem: 31630 Epoch: [28] [2750/5278] eta: 1:53:44 lr: 1.6256317238474583e-05 loss: 0.0465 (0.0490) loss_seg: 0.0462 (0.0486) loss_lansim: 0.0270 (0.0353) loss_contra: 0.0003 (0.0025) time: 2.7070 data: 0.0054 max mem: 31630 Epoch: [28] [2760/5278] eta: 1:53:17 lr: 1.6253902316255054e-05 loss: 0.0458 (0.0490) loss_seg: 0.0455 (0.0487) loss_lansim: 0.0267 (0.0352) loss_contra: 0.0003 (0.0025) time: 2.7130 data: 0.0054 max mem: 31630 Epoch: [28] [2770/5278] eta: 1:52:50 lr: 1.625148735416854e-05 loss: 0.0453 (0.0490) loss_seg: 0.0451 (0.0487) loss_lansim: 0.0261 (0.0352) loss_contra: 0.0002 (0.0025) time: 2.7120 data: 0.0054 max mem: 31630 Epoch: [28] [2780/5278] eta: 1:52:23 lr: 1.624907235220781e-05 loss: 0.0447 (0.0490) loss_seg: 0.0443 (0.0486) loss_lansim: 0.0262 (0.0352) loss_contra: 0.0002 (0.0025) time: 2.7116 data: 0.0054 max mem: 31630 Epoch: [28] [2790/5278] eta: 1:51:57 lr: 1.6246657310365615e-05 loss: 0.0447 (0.0490) loss_seg: 0.0443 (0.0486) loss_lansim: 0.0262 (0.0351) loss_contra: 0.0002 (0.0025) time: 2.7120 data: 0.0054 max mem: 31630 Epoch: [28] [2800/5278] eta: 1:51:30 lr: 1.6244242228634715e-05 loss: 0.0441 (0.0490) loss_seg: 0.0439 (0.0486) loss_lansim: 0.0261 (0.0351) loss_contra: 0.0002 (0.0025) time: 2.7107 data: 0.0053 max mem: 31630 Epoch: [28] [2810/5278] eta: 1:51:03 lr: 1.6241827107007862e-05 loss: 0.0435 (0.0490) loss_seg: 0.0433 (0.0486) loss_lansim: 0.0262 (0.0351) loss_contra: 0.0002 (0.0025) time: 2.7129 data: 0.0053 max mem: 31630 Epoch: [28] [2820/5278] eta: 1:50:36 lr: 1.62394119454778e-05 loss: 0.0441 (0.0490) loss_seg: 0.0438 (0.0486) loss_lansim: 0.0261 (0.0351) loss_contra: 0.0003 (0.0026) time: 2.7104 data: 0.0053 max mem: 31630 Epoch: [28] [2830/5278] eta: 1:50:09 lr: 1.6236996744037274e-05 loss: 0.0440 (0.0489) loss_seg: 0.0437 (0.0486) loss_lansim: 0.0261 (0.0350) loss_contra: 0.0003 (0.0026) time: 2.7133 data: 0.0053 max mem: 31630 Epoch: [28] [2840/5278] eta: 1:49:42 lr: 1.6234581502679035e-05 loss: 0.0429 (0.0489) loss_seg: 0.0426 (0.0486) loss_lansim: 0.0258 (0.0350) loss_contra: 0.0003 (0.0025) time: 2.7102 data: 0.0053 max mem: 31630 Epoch: [28] [2850/5278] eta: 1:49:15 lr: 1.623216622139583e-05 loss: 0.0429 (0.0489) loss_seg: 0.0426 (0.0485) loss_lansim: 0.0257 (0.0350) loss_contra: 0.0003 (0.0025) time: 2.7093 data: 0.0054 max mem: 31630 Epoch: [28] [2860/5278] eta: 1:48:48 lr: 1.6229750900180377e-05 loss: 0.0418 (0.0489) loss_seg: 0.0415 (0.0485) loss_lansim: 0.0259 (0.0349) loss_contra: 0.0003 (0.0025) time: 2.7108 data: 0.0054 max mem: 31630 Epoch: [28] [2870/5278] eta: 1:48:21 lr: 1.622733553902543e-05 loss: 0.0425 (0.0489) loss_seg: 0.0422 (0.0485) loss_lansim: 0.0260 (0.0349) loss_contra: 0.0003 (0.0025) time: 2.7087 data: 0.0054 max mem: 31630 Epoch: [28] [2880/5278] eta: 1:47:54 lr: 1.6224920137923716e-05 loss: 0.0418 (0.0489) loss_seg: 0.0415 (0.0485) loss_lansim: 0.0259 (0.0349) loss_contra: 0.0003 (0.0026) time: 2.7099 data: 0.0054 max mem: 31630 Epoch: [28] [2890/5278] eta: 1:47:27 lr: 1.6222504696867975e-05 loss: 0.0417 (0.0488) loss_seg: 0.0413 (0.0485) loss_lansim: 0.0260 (0.0348) loss_contra: 0.0003 (0.0026) time: 2.7096 data: 0.0054 max mem: 31630 Epoch: [28] [2900/5278] eta: 1:47:00 lr: 1.622008921585092e-05 loss: 0.0418 (0.0488) loss_seg: 0.0414 (0.0484) loss_lansim: 0.0260 (0.0348) loss_contra: 0.0003 (0.0026) time: 2.7109 data: 0.0055 max mem: 31630 Epoch: [28] [2910/5278] eta: 1:46:34 lr: 1.6217673694865293e-05 loss: 0.0418 (0.0488) loss_seg: 0.0415 (0.0485) loss_lansim: 0.0259 (0.0348) loss_contra: 0.0003 (0.0026) time: 2.7101 data: 0.0054 max mem: 31630 Epoch: [28] [2920/5278] eta: 1:46:06 lr: 1.621525813390381e-05 loss: 0.0435 (0.0489) loss_seg: 0.0432 (0.0485) loss_lansim: 0.0259 (0.0348) loss_contra: 0.0003 (0.0026) time: 2.7115 data: 0.0055 max mem: 31630 Epoch: [28] [2930/5278] eta: 1:45:40 lr: 1.6212842532959195e-05 loss: 0.0435 (0.0488) loss_seg: 0.0432 (0.0485) loss_lansim: 0.0259 (0.0347) loss_contra: 0.0003 (0.0026) time: 2.7125 data: 0.0055 max mem: 31630 Epoch: [28] [2940/5278] eta: 1:45:13 lr: 1.6210426892024167e-05 loss: 0.0461 (0.0489) loss_seg: 0.0459 (0.0485) loss_lansim: 0.0262 (0.0347) loss_contra: 0.0003 (0.0026) time: 2.7091 data: 0.0054 max mem: 31630 Epoch: [28] [2950/5278] eta: 1:44:46 lr: 1.620801121109144e-05 loss: 0.0460 (0.0489) loss_seg: 0.0457 (0.0485) loss_lansim: 0.0264 (0.0347) loss_contra: 0.0003 (0.0026) time: 2.7115 data: 0.0054 max mem: 31630 Epoch: [28] [2960/5278] eta: 1:44:19 lr: 1.6205595490153727e-05 loss: 0.0466 (0.0489) loss_seg: 0.0462 (0.0485) loss_lansim: 0.0264 (0.0347) loss_contra: 0.0003 (0.0025) time: 2.7052 data: 0.0053 max mem: 31630 Epoch: [28] [2970/5278] eta: 1:43:52 lr: 1.620317972920375e-05 loss: 0.0462 (0.0489) loss_seg: 0.0459 (0.0485) loss_lansim: 0.0264 (0.0346) loss_contra: 0.0003 (0.0025) time: 2.7082 data: 0.0053 max mem: 31630 Epoch: [28] [2980/5278] eta: 1:43:25 lr: 1.62007639282342e-05 loss: 0.0484 (0.0489) loss_seg: 0.0481 (0.0485) loss_lansim: 0.0262 (0.0346) loss_contra: 0.0003 (0.0025) time: 2.7065 data: 0.0053 max mem: 31630 Epoch: [28] [2990/5278] eta: 1:42:58 lr: 1.6198348087237795e-05 loss: 0.0484 (0.0489) loss_seg: 0.0481 (0.0485) loss_lansim: 0.0264 (0.0346) loss_contra: 0.0003 (0.0025) time: 2.7054 data: 0.0053 max mem: 31630 Epoch: [28] [3000/5278] eta: 1:42:31 lr: 1.6195932206207233e-05 loss: 0.0490 (0.0489) loss_seg: 0.0487 (0.0485) loss_lansim: 0.0265 (0.0346) loss_contra: 0.0003 (0.0026) time: 2.7083 data: 0.0053 max mem: 31630 Epoch: [28] [3010/5278] eta: 1:42:04 lr: 1.619351628513523e-05 loss: 0.0466 (0.0489) loss_seg: 0.0462 (0.0485) loss_lansim: 0.0264 (0.0345) loss_contra: 0.0003 (0.0026) time: 2.7043 data: 0.0053 max mem: 31630 Epoch: [28] [3020/5278] eta: 1:41:37 lr: 1.619110032401446e-05 loss: 0.0466 (0.0489) loss_seg: 0.0462 (0.0486) loss_lansim: 0.0266 (0.0345) loss_contra: 0.0003 (0.0026) time: 2.7085 data: 0.0053 max mem: 31630 Epoch: [28] [3030/5278] eta: 1:41:10 lr: 1.6188684322837635e-05 loss: 0.0462 (0.0489) loss_seg: 0.0459 (0.0486) loss_lansim: 0.0265 (0.0345) loss_contra: 0.0003 (0.0027) time: 2.7029 data: 0.0053 max mem: 31630 Epoch: [28] [3040/5278] eta: 1:40:43 lr: 1.6186268281597445e-05 loss: 0.0461 (0.0490) loss_seg: 0.0458 (0.0486) loss_lansim: 0.0267 (0.0345) loss_contra: 0.0003 (0.0027) time: 2.7083 data: 0.0053 max mem: 31630 Epoch: [28] [3050/5278] eta: 1:40:16 lr: 1.618385220028658e-05 loss: 0.0449 (0.0489) loss_seg: 0.0447 (0.0486) loss_lansim: 0.0268 (0.0344) loss_contra: 0.0003 (0.0027) time: 2.7042 data: 0.0053 max mem: 31630 Epoch: [28] [3060/5278] eta: 1:39:49 lr: 1.6181436078897737e-05 loss: 0.0448 (0.0490) loss_seg: 0.0444 (0.0486) loss_lansim: 0.0267 (0.0344) loss_contra: 0.0004 (0.0027) time: 2.7043 data: 0.0053 max mem: 31630 Epoch: [28] [3070/5278] eta: 1:39:22 lr: 1.6179019917423588e-05 loss: 0.0451 (0.0490) loss_seg: 0.0448 (0.0486) loss_lansim: 0.0262 (0.0344) loss_contra: 0.0004 (0.0027) time: 2.7061 data: 0.0053 max mem: 31630 Epoch: [28] [3080/5278] eta: 1:38:55 lr: 1.6176603715856822e-05 loss: 0.0449 (0.0490) loss_seg: 0.0447 (0.0486) loss_lansim: 0.0265 (0.0344) loss_contra: 0.0004 (0.0027) time: 2.7036 data: 0.0053 max mem: 31630 Epoch: [28] [3090/5278] eta: 1:38:28 lr: 1.617418747419012e-05 loss: 0.0453 (0.0490) loss_seg: 0.0451 (0.0486) loss_lansim: 0.0260 (0.0343) loss_contra: 0.0004 (0.0027) time: 2.7040 data: 0.0053 max mem: 31630 Epoch: [28] [3100/5278] eta: 1:38:01 lr: 1.6171771192416166e-05 loss: 0.0451 (0.0490) loss_seg: 0.0448 (0.0486) loss_lansim: 0.0256 (0.0343) loss_contra: 0.0004 (0.0027) time: 2.7004 data: 0.0053 max mem: 31630 Epoch: [28] [3110/5278] eta: 1:37:34 lr: 1.6169354870527624e-05 loss: 0.0464 (0.0490) loss_seg: 0.0462 (0.0486) loss_lansim: 0.0256 (0.0343) loss_contra: 0.0005 (0.0028) time: 2.7016 data: 0.0053 max mem: 31630 Epoch: [28] [3120/5278] eta: 1:37:07 lr: 1.6166938508517175e-05 loss: 0.0453 (0.0490) loss_seg: 0.0451 (0.0486) loss_lansim: 0.0253 (0.0342) loss_contra: 0.0007 (0.0028) time: 2.6983 data: 0.0053 max mem: 31630 Epoch: [28] [3130/5278] eta: 1:36:40 lr: 1.6164522106377487e-05 loss: 0.0453 (0.0490) loss_seg: 0.0451 (0.0486) loss_lansim: 0.0253 (0.0342) loss_contra: 0.0006 (0.0028) time: 2.6990 data: 0.0053 max mem: 31630 Epoch: [28] [3140/5278] eta: 1:36:13 lr: 1.6162105664101233e-05 loss: 0.0451 (0.0490) loss_seg: 0.0447 (0.0486) loss_lansim: 0.0252 (0.0342) loss_contra: 0.0006 (0.0028) time: 2.6940 data: 0.0052 max mem: 31630 Epoch: [28] [3150/5278] eta: 1:35:46 lr: 1.6159689181681066e-05 loss: 0.0458 (0.0490) loss_seg: 0.0455 (0.0486) loss_lansim: 0.0251 (0.0341) loss_contra: 0.0005 (0.0028) time: 2.6950 data: 0.0052 max mem: 31630 Epoch: [28] [3160/5278] eta: 1:35:18 lr: 1.6157272659109664e-05 loss: 0.0451 (0.0490) loss_seg: 0.0447 (0.0486) loss_lansim: 0.0251 (0.0341) loss_contra: 0.0006 (0.0028) time: 2.6927 data: 0.0052 max mem: 31630 Epoch: [28] [3170/5278] eta: 1:34:51 lr: 1.6154856096379674e-05 loss: 0.0453 (0.0490) loss_seg: 0.0451 (0.0486) loss_lansim: 0.0248 (0.0341) loss_contra: 0.0006 (0.0028) time: 2.6904 data: 0.0053 max mem: 31630 Epoch: [28] [3180/5278] eta: 1:34:25 lr: 1.6152439493483768e-05 loss: 0.0458 (0.0491) loss_seg: 0.0455 (0.0487) loss_lansim: 0.0248 (0.0341) loss_contra: 0.0006 (0.0028) time: 2.6935 data: 0.0053 max mem: 31630 Epoch: [28] [3190/5278] eta: 1:33:58 lr: 1.6150022850414587e-05 loss: 0.0458 (0.0492) loss_seg: 0.0455 (0.0488) loss_lansim: 0.0248 (0.0340) loss_contra: 0.0006 (0.0028) time: 2.6946 data: 0.0053 max mem: 31630 Epoch: [28] [3200/5278] eta: 1:33:31 lr: 1.614760616716479e-05 loss: 0.0461 (0.0492) loss_seg: 0.0458 (0.0488) loss_lansim: 0.0249 (0.0340) loss_contra: 0.0006 (0.0028) time: 2.6932 data: 0.0053 max mem: 31630 Epoch: [28] [3210/5278] eta: 1:33:03 lr: 1.6145189443727024e-05 loss: 0.0465 (0.0492) loss_seg: 0.0463 (0.0488) loss_lansim: 0.0248 (0.0340) loss_contra: 0.0006 (0.0028) time: 2.6946 data: 0.0053 max mem: 31630 Epoch: [28] [3220/5278] eta: 1:32:37 lr: 1.614277268009395e-05 loss: 0.0465 (0.0492) loss_seg: 0.0463 (0.0488) loss_lansim: 0.0248 (0.0340) loss_contra: 0.0005 (0.0028) time: 2.6963 data: 0.0053 max mem: 31630 Epoch: [28] [3230/5278] eta: 1:32:10 lr: 1.6140355876258192e-05 loss: 0.0470 (0.0492) loss_seg: 0.0468 (0.0488) loss_lansim: 0.0247 (0.0339) loss_contra: 0.0005 (0.0028) time: 2.6984 data: 0.0053 max mem: 31630 Epoch: [28] [3240/5278] eta: 1:31:43 lr: 1.6137939032212406e-05 loss: 0.0461 (0.0492) loss_seg: 0.0458 (0.0488) loss_lansim: 0.0246 (0.0339) loss_contra: 0.0004 (0.0028) time: 2.7027 data: 0.0054 max mem: 31630 Epoch: [28] [3250/5278] eta: 1:31:16 lr: 1.6135522147949224e-05 loss: 0.0465 (0.0492) loss_seg: 0.0463 (0.0488) loss_lansim: 0.0244 (0.0339) loss_contra: 0.0004 (0.0028) time: 2.7013 data: 0.0055 max mem: 31630 Epoch: [28] [3260/5278] eta: 1:30:49 lr: 1.6133105223461295e-05 loss: 0.0461 (0.0491) loss_seg: 0.0458 (0.0488) loss_lansim: 0.0240 (0.0338) loss_contra: 0.0004 (0.0028) time: 2.7107 data: 0.0056 max mem: 31630 Epoch: [28] [3270/5278] eta: 1:30:22 lr: 1.613068825874124e-05 loss: 0.0465 (0.0491) loss_seg: 0.0463 (0.0488) loss_lansim: 0.0239 (0.0338) loss_contra: 0.0003 (0.0028) time: 2.7071 data: 0.0056 max mem: 31630 Epoch: [28] [3280/5278] eta: 1:29:55 lr: 1.6128271253781696e-05 loss: 0.0465 (0.0491) loss_seg: 0.0462 (0.0488) loss_lansim: 0.0240 (0.0338) loss_contra: 0.0002 (0.0028) time: 2.7068 data: 0.0056 max mem: 31630 Epoch: [28] [3290/5278] eta: 1:29:28 lr: 1.6125854208575295e-05 loss: 0.0460 (0.0491) loss_seg: 0.0458 (0.0487) loss_lansim: 0.0239 (0.0338) loss_contra: 0.0002 (0.0028) time: 2.7068 data: 0.0056 max mem: 31630 Epoch: [28] [3300/5278] eta: 1:29:01 lr: 1.6123437123114663e-05 loss: 0.0457 (0.0491) loss_seg: 0.0455 (0.0487) loss_lansim: 0.0239 (0.0337) loss_contra: 0.0002 (0.0028) time: 2.7046 data: 0.0056 max mem: 31630 Epoch: [28] [3310/5278] eta: 1:28:34 lr: 1.6121019997392424e-05 loss: 0.0446 (0.0491) loss_seg: 0.0443 (0.0487) loss_lansim: 0.0243 (0.0337) loss_contra: 0.0002 (0.0028) time: 2.7038 data: 0.0057 max mem: 31630 Epoch: [28] [3320/5278] eta: 1:28:07 lr: 1.61186028314012e-05 loss: 0.0447 (0.0491) loss_seg: 0.0445 (0.0487) loss_lansim: 0.0244 (0.0337) loss_contra: 0.0002 (0.0028) time: 2.7012 data: 0.0057 max mem: 31630 Epoch: [28] [3330/5278] eta: 1:27:40 lr: 1.6116185625133607e-05 loss: 0.0441 (0.0490) loss_seg: 0.0433 (0.0487) loss_lansim: 0.0245 (0.0337) loss_contra: 0.0003 (0.0028) time: 2.7009 data: 0.0057 max mem: 31630 Epoch: [28] [3340/5278] eta: 1:27:13 lr: 1.6113768378582264e-05 loss: 0.0452 (0.0491) loss_seg: 0.0449 (0.0487) loss_lansim: 0.0247 (0.0336) loss_contra: 0.0004 (0.0028) time: 2.7001 data: 0.0057 max mem: 31630 Epoch: [28] [3350/5278] eta: 1:26:46 lr: 1.611135109173979e-05 loss: 0.0450 (0.0491) loss_seg: 0.0447 (0.0487) loss_lansim: 0.0247 (0.0336) loss_contra: 0.0003 (0.0028) time: 2.7001 data: 0.0057 max mem: 31630 Epoch: [28] [3360/5278] eta: 1:26:19 lr: 1.6108933764598784e-05 loss: 0.0447 (0.0490) loss_seg: 0.0445 (0.0487) loss_lansim: 0.0247 (0.0336) loss_contra: 0.0004 (0.0028) time: 2.6979 data: 0.0057 max mem: 31630 Epoch: [28] [3370/5278] eta: 1:25:52 lr: 1.6106516397151868e-05 loss: 0.0431 (0.0490) loss_seg: 0.0428 (0.0486) loss_lansim: 0.0247 (0.0336) loss_contra: 0.0004 (0.0028) time: 2.6971 data: 0.0057 max mem: 31630 Epoch: [28] [3380/5278] eta: 1:25:25 lr: 1.6104098989391635e-05 loss: 0.0431 (0.0490) loss_seg: 0.0428 (0.0487) loss_lansim: 0.0246 (0.0335) loss_contra: 0.0004 (0.0028) time: 2.6970 data: 0.0057 max mem: 31630 Epoch: [28] [3390/5278] eta: 1:24:57 lr: 1.6101681541310706e-05 loss: 0.0427 (0.0490) loss_seg: 0.0425 (0.0486) loss_lansim: 0.0246 (0.0335) loss_contra: 0.0004 (0.0028) time: 2.6925 data: 0.0056 max mem: 31630 Epoch: [28] [3400/5278] eta: 1:24:30 lr: 1.6099264052901668e-05 loss: 0.0437 (0.0490) loss_seg: 0.0433 (0.0487) loss_lansim: 0.0247 (0.0335) loss_contra: 0.0004 (0.0028) time: 2.6940 data: 0.0056 max mem: 31630 Epoch: [28] [3410/5278] eta: 1:24:03 lr: 1.609684652415712e-05 loss: 0.0441 (0.0490) loss_seg: 0.0434 (0.0487) loss_lansim: 0.0246 (0.0335) loss_contra: 0.0003 (0.0028) time: 2.6945 data: 0.0056 max mem: 31630 Epoch: [28] [3420/5278] eta: 1:23:36 lr: 1.609442895506966e-05 loss: 0.0423 (0.0490) loss_seg: 0.0421 (0.0487) loss_lansim: 0.0241 (0.0334) loss_contra: 0.0003 (0.0028) time: 2.6925 data: 0.0057 max mem: 31630 Epoch: [28] [3430/5278] eta: 1:23:09 lr: 1.609201134563189e-05 loss: 0.0437 (0.0490) loss_seg: 0.0434 (0.0487) loss_lansim: 0.0240 (0.0334) loss_contra: 0.0003 (0.0028) time: 2.6908 data: 0.0057 max mem: 31630 Epoch: [28] [3440/5278] eta: 1:22:42 lr: 1.6089593695836387e-05 loss: 0.0422 (0.0490) loss_seg: 0.0420 (0.0487) loss_lansim: 0.0239 (0.0334) loss_contra: 0.0003 (0.0028) time: 2.6900 data: 0.0057 max mem: 31630 Epoch: [28] [3450/5278] eta: 1:22:15 lr: 1.6087176005675746e-05 loss: 0.0414 (0.0490) loss_seg: 0.0411 (0.0487) loss_lansim: 0.0240 (0.0333) loss_contra: 0.0003 (0.0028) time: 2.6933 data: 0.0058 max mem: 31630 Epoch: [28] [3460/5278] eta: 1:21:48 lr: 1.6084758275142553e-05 loss: 0.0436 (0.0490) loss_seg: 0.0433 (0.0487) loss_lansim: 0.0240 (0.0333) loss_contra: 0.0003 (0.0027) time: 2.6919 data: 0.0057 max mem: 31630 Epoch: [28] [3470/5278] eta: 1:21:21 lr: 1.6082340504229392e-05 loss: 0.0445 (0.0490) loss_seg: 0.0442 (0.0487) loss_lansim: 0.0239 (0.0333) loss_contra: 0.0003 (0.0027) time: 2.6932 data: 0.0058 max mem: 31630 Epoch: [28] [3480/5278] eta: 1:20:54 lr: 1.6079922692928837e-05 loss: 0.0449 (0.0490) loss_seg: 0.0446 (0.0487) loss_lansim: 0.0238 (0.0333) loss_contra: 0.0003 (0.0027) time: 2.6956 data: 0.0059 max mem: 31630 Epoch: [28] [3490/5278] eta: 1:20:27 lr: 1.607750484123347e-05 loss: 0.0455 (0.0490) loss_seg: 0.0453 (0.0487) loss_lansim: 0.0238 (0.0332) loss_contra: 0.0002 (0.0027) time: 2.6978 data: 0.0060 max mem: 31630 Epoch: [28] [3500/5278] eta: 1:20:01 lr: 1.6075086949135864e-05 loss: 0.0438 (0.0490) loss_seg: 0.0436 (0.0487) loss_lansim: 0.0239 (0.0332) loss_contra: 0.0002 (0.0027) time: 2.7048 data: 0.0060 max mem: 31630 Epoch: [28] [3510/5278] eta: 1:19:34 lr: 1.60726690166286e-05 loss: 0.0438 (0.0490) loss_seg: 0.0436 (0.0487) loss_lansim: 0.0239 (0.0332) loss_contra: 0.0002 (0.0027) time: 2.7064 data: 0.0060 max mem: 31630 Epoch: [28] [3520/5278] eta: 1:19:07 lr: 1.607025104370423e-05 loss: 0.0438 (0.0490) loss_seg: 0.0435 (0.0486) loss_lansim: 0.0239 (0.0332) loss_contra: 0.0002 (0.0027) time: 2.7102 data: 0.0060 max mem: 31630 Epoch: [28] [3530/5278] eta: 1:18:40 lr: 1.606783303035534e-05 loss: 0.0436 (0.0490) loss_seg: 0.0433 (0.0486) loss_lansim: 0.0241 (0.0331) loss_contra: 0.0002 (0.0027) time: 2.7114 data: 0.0060 max mem: 31630 Epoch: [28] [3540/5278] eta: 1:18:13 lr: 1.6065414976574482e-05 loss: 0.0433 (0.0490) loss_seg: 0.0431 (0.0486) loss_lansim: 0.0241 (0.0331) loss_contra: 0.0002 (0.0027) time: 2.7105 data: 0.0060 max mem: 31630 Epoch: [28] [3550/5278] eta: 1:17:46 lr: 1.6062996882354222e-05 loss: 0.0432 (0.0489) loss_seg: 0.0429 (0.0486) loss_lansim: 0.0241 (0.0331) loss_contra: 0.0003 (0.0027) time: 2.7091 data: 0.0058 max mem: 31630 Epoch: [28] [3560/5278] eta: 1:17:19 lr: 1.6060578747687126e-05 loss: 0.0422 (0.0490) loss_seg: 0.0420 (0.0487) loss_lansim: 0.0242 (0.0331) loss_contra: 0.0003 (0.0027) time: 2.7050 data: 0.0058 max mem: 31630 Epoch: [28] [3570/5278] eta: 1:16:52 lr: 1.605816057256574e-05 loss: 0.0422 (0.0490) loss_seg: 0.0420 (0.0487) loss_lansim: 0.0242 (0.0330) loss_contra: 0.0003 (0.0027) time: 2.7070 data: 0.0057 max mem: 31630 Epoch: [28] [3580/5278] eta: 1:16:25 lr: 1.6055742356982623e-05 loss: 0.0422 (0.0490) loss_seg: 0.0420 (0.0486) loss_lansim: 0.0243 (0.0330) loss_contra: 0.0003 (0.0027) time: 2.7085 data: 0.0057 max mem: 31630 Epoch: [28] [3590/5278] eta: 1:15:58 lr: 1.6053324100930325e-05 loss: 0.0426 (0.0490) loss_seg: 0.0424 (0.0487) loss_lansim: 0.0242 (0.0330) loss_contra: 0.0003 (0.0027) time: 2.7095 data: 0.0057 max mem: 31630 Epoch: [28] [3600/5278] eta: 1:15:31 lr: 1.6050905804401402e-05 loss: 0.0428 (0.0490) loss_seg: 0.0426 (0.0487) loss_lansim: 0.0241 (0.0330) loss_contra: 0.0002 (0.0027) time: 2.7023 data: 0.0056 max mem: 31630 Epoch: [28] [3610/5278] eta: 1:15:04 lr: 1.604848746738839e-05 loss: 0.0429 (0.0491) loss_seg: 0.0427 (0.0487) loss_lansim: 0.0240 (0.0329) loss_contra: 0.0002 (0.0027) time: 2.7034 data: 0.0056 max mem: 31630 Epoch: [28] [3620/5278] eta: 1:14:37 lr: 1.6046069089883837e-05 loss: 0.0431 (0.0491) loss_seg: 0.0429 (0.0487) loss_lansim: 0.0242 (0.0329) loss_contra: 0.0002 (0.0027) time: 2.6985 data: 0.0056 max mem: 31630 Epoch: [28] [3630/5278] eta: 1:14:10 lr: 1.6043650671880283e-05 loss: 0.0432 (0.0491) loss_seg: 0.0429 (0.0487) loss_lansim: 0.0242 (0.0329) loss_contra: 0.0002 (0.0027) time: 2.7049 data: 0.0055 max mem: 31630 Epoch: [28] [3640/5278] eta: 1:13:43 lr: 1.6041232213370275e-05 loss: 0.0457 (0.0491) loss_seg: 0.0454 (0.0487) loss_lansim: 0.0239 (0.0329) loss_contra: 0.0002 (0.0027) time: 2.7010 data: 0.0055 max mem: 31630 Epoch: [28] [3650/5278] eta: 1:13:16 lr: 1.6038813714346336e-05 loss: 0.0463 (0.0491) loss_seg: 0.0460 (0.0487) loss_lansim: 0.0239 (0.0328) loss_contra: 0.0002 (0.0027) time: 2.7004 data: 0.0055 max mem: 31630 Epoch: [28] [3660/5278] eta: 1:12:49 lr: 1.6036395174801004e-05 loss: 0.0462 (0.0491) loss_seg: 0.0460 (0.0487) loss_lansim: 0.0236 (0.0328) loss_contra: 0.0002 (0.0027) time: 2.7008 data: 0.0055 max mem: 31630 Epoch: [28] [3670/5278] eta: 1:12:21 lr: 1.603397659472681e-05 loss: 0.0461 (0.0491) loss_seg: 0.0458 (0.0487) loss_lansim: 0.0236 (0.0328) loss_contra: 0.0002 (0.0027) time: 2.6984 data: 0.0054 max mem: 31630 Epoch: [28] [3680/5278] eta: 1:11:55 lr: 1.603155797411629e-05 loss: 0.0461 (0.0491) loss_seg: 0.0458 (0.0487) loss_lansim: 0.0232 (0.0328) loss_contra: 0.0002 (0.0027) time: 2.6962 data: 0.0054 max mem: 31630 Epoch: [28] [3690/5278] eta: 1:11:28 lr: 1.6029139312961952e-05 loss: 0.0462 (0.0491) loss_seg: 0.0460 (0.0487) loss_lansim: 0.0236 (0.0327) loss_contra: 0.0002 (0.0027) time: 2.6981 data: 0.0054 max mem: 31630 Epoch: [28] [3700/5278] eta: 1:11:01 lr: 1.602672061125633e-05 loss: 0.0453 (0.0491) loss_seg: 0.0451 (0.0487) loss_lansim: 0.0237 (0.0327) loss_contra: 0.0002 (0.0026) time: 2.6998 data: 0.0053 max mem: 31630 Epoch: [28] [3710/5278] eta: 1:10:34 lr: 1.6024301868991942e-05 loss: 0.0453 (0.0491) loss_seg: 0.0451 (0.0487) loss_lansim: 0.0236 (0.0327) loss_contra: 0.0002 (0.0026) time: 2.6995 data: 0.0053 max mem: 31630 Epoch: [28] [3720/5278] eta: 1:10:07 lr: 1.6021883086161313e-05 loss: 0.0453 (0.0491) loss_seg: 0.0451 (0.0487) loss_lansim: 0.0236 (0.0327) loss_contra: 0.0002 (0.0026) time: 2.7005 data: 0.0053 max mem: 31630 Epoch: [28] [3730/5278] eta: 1:09:40 lr: 1.601946426275694e-05 loss: 0.0460 (0.0491) loss_seg: 0.0457 (0.0487) loss_lansim: 0.0235 (0.0327) loss_contra: 0.0002 (0.0026) time: 2.6974 data: 0.0053 max mem: 31630 Epoch: [28] [3740/5278] eta: 1:09:13 lr: 1.601704539877135e-05 loss: 0.0460 (0.0490) loss_seg: 0.0457 (0.0487) loss_lansim: 0.0233 (0.0326) loss_contra: 0.0002 (0.0026) time: 2.7004 data: 0.0053 max mem: 31630 Epoch: [28] [3750/5278] eta: 1:08:46 lr: 1.601462649419705e-05 loss: 0.0458 (0.0491) loss_seg: 0.0456 (0.0487) loss_lansim: 0.0233 (0.0326) loss_contra: 0.0002 (0.0026) time: 2.7011 data: 0.0053 max mem: 31630 Epoch: [28] [3760/5278] eta: 1:08:19 lr: 1.6012207549026548e-05 loss: 0.0458 (0.0491) loss_seg: 0.0456 (0.0487) loss_lansim: 0.0233 (0.0326) loss_contra: 0.0002 (0.0026) time: 2.7027 data: 0.0053 max mem: 31630 Epoch: [28] [3770/5278] eta: 1:07:52 lr: 1.6009788563252337e-05 loss: 0.0455 (0.0491) loss_seg: 0.0452 (0.0487) loss_lansim: 0.0233 (0.0326) loss_contra: 0.0002 (0.0026) time: 2.7018 data: 0.0053 max mem: 31630 Epoch: [28] [3780/5278] eta: 1:07:25 lr: 1.6007369536866928e-05 loss: 0.0460 (0.0491) loss_seg: 0.0457 (0.0487) loss_lansim: 0.0233 (0.0325) loss_contra: 0.0002 (0.0026) time: 2.7010 data: 0.0054 max mem: 31630 Epoch: [28] [3790/5278] eta: 1:06:58 lr: 1.600495046986282e-05 loss: 0.0458 (0.0491) loss_seg: 0.0456 (0.0487) loss_lansim: 0.0232 (0.0325) loss_contra: 0.0002 (0.0026) time: 2.6977 data: 0.0054 max mem: 31630 Epoch: [28] [3800/5278] eta: 1:06:30 lr: 1.6002531362232508e-05 loss: 0.0455 (0.0490) loss_seg: 0.0452 (0.0487) loss_lansim: 0.0232 (0.0325) loss_contra: 0.0002 (0.0026) time: 2.6970 data: 0.0054 max mem: 31630 Epoch: [28] [3810/5278] eta: 1:06:03 lr: 1.600011221396849e-05 loss: 0.0445 (0.0490) loss_seg: 0.0443 (0.0487) loss_lansim: 0.0232 (0.0325) loss_contra: 0.0002 (0.0026) time: 2.6945 data: 0.0054 max mem: 31630 Epoch: [28] [3820/5278] eta: 1:05:36 lr: 1.5997693025063246e-05 loss: 0.0443 (0.0490) loss_seg: 0.0441 (0.0487) loss_lansim: 0.0232 (0.0324) loss_contra: 0.0002 (0.0026) time: 2.6951 data: 0.0055 max mem: 31630 Epoch: [28] [3830/5278] eta: 1:05:09 lr: 1.5995273795509273e-05 loss: 0.0443 (0.0490) loss_seg: 0.0441 (0.0487) loss_lansim: 0.0232 (0.0324) loss_contra: 0.0002 (0.0026) time: 2.6914 data: 0.0055 max mem: 31630 Epoch: [28] [3840/5278] eta: 1:04:42 lr: 1.599285452529905e-05 loss: 0.0441 (0.0490) loss_seg: 0.0439 (0.0487) loss_lansim: 0.0233 (0.0324) loss_contra: 0.0001 (0.0026) time: 2.6914 data: 0.0055 max mem: 31630 Epoch: [28] [3850/5278] eta: 1:04:15 lr: 1.5990435214425077e-05 loss: 0.0440 (0.0490) loss_seg: 0.0438 (0.0487) loss_lansim: 0.0235 (0.0324) loss_contra: 0.0002 (0.0026) time: 2.6900 data: 0.0055 max mem: 31630 Epoch: [28] [3860/5278] eta: 1:03:48 lr: 1.598801586287981e-05 loss: 0.0440 (0.0490) loss_seg: 0.0437 (0.0487) loss_lansim: 0.0234 (0.0324) loss_contra: 0.0002 (0.0026) time: 2.6869 data: 0.0055 max mem: 31630 Epoch: [28] [3870/5278] eta: 1:03:21 lr: 1.5985596470655738e-05 loss: 0.0435 (0.0490) loss_seg: 0.0433 (0.0487) loss_lansim: 0.0235 (0.0323) loss_contra: 0.0002 (0.0026) time: 2.6882 data: 0.0055 max mem: 31630 Epoch: [28] [3880/5278] eta: 1:02:54 lr: 1.5983177037745343e-05 loss: 0.0432 (0.0490) loss_seg: 0.0430 (0.0487) loss_lansim: 0.0236 (0.0323) loss_contra: 0.0001 (0.0026) time: 2.6858 data: 0.0055 max mem: 31630 Epoch: [28] [3890/5278] eta: 1:02:27 lr: 1.598075756414109e-05 loss: 0.0432 (0.0490) loss_seg: 0.0430 (0.0487) loss_lansim: 0.0236 (0.0323) loss_contra: 0.0002 (0.0026) time: 2.6856 data: 0.0055 max mem: 31630 Epoch: [28] [3900/5278] eta: 1:02:00 lr: 1.5978338049835447e-05 loss: 0.0433 (0.0490) loss_seg: 0.0431 (0.0487) loss_lansim: 0.0236 (0.0323) loss_contra: 0.0002 (0.0026) time: 2.6847 data: 0.0055 max mem: 31630 Epoch: [28] [3910/5278] eta: 1:01:33 lr: 1.5975918494820886e-05 loss: 0.0440 (0.0490) loss_seg: 0.0438 (0.0486) loss_lansim: 0.0236 (0.0323) loss_contra: 0.0002 (0.0026) time: 2.6862 data: 0.0055 max mem: 31630 Epoch: [28] [3920/5278] eta: 1:01:06 lr: 1.5973498899089868e-05 loss: 0.0450 (0.0490) loss_seg: 0.0448 (0.0487) loss_lansim: 0.0236 (0.0322) loss_contra: 0.0003 (0.0026) time: 2.6870 data: 0.0056 max mem: 31630 Epoch: [28] [3930/5278] eta: 1:00:39 lr: 1.5971079262634857e-05 loss: 0.0450 (0.0490) loss_seg: 0.0448 (0.0487) loss_lansim: 0.0236 (0.0322) loss_contra: 0.0003 (0.0026) time: 2.6899 data: 0.0057 max mem: 31630 Epoch: [28] [3940/5278] eta: 1:00:12 lr: 1.5968659585448312e-05 loss: 0.0443 (0.0490) loss_seg: 0.0441 (0.0487) loss_lansim: 0.0238 (0.0322) loss_contra: 0.0003 (0.0026) time: 2.6910 data: 0.0057 max mem: 31630 Epoch: [28] [3950/5278] eta: 0:59:45 lr: 1.5966239867522684e-05 loss: 0.0433 (0.0490) loss_seg: 0.0431 (0.0487) loss_lansim: 0.0239 (0.0322) loss_contra: 0.0003 (0.0026) time: 2.6952 data: 0.0058 max mem: 31630 Epoch: [28] [3960/5278] eta: 0:59:18 lr: 1.5963820108850435e-05 loss: 0.0427 (0.0490) loss_seg: 0.0424 (0.0487) loss_lansim: 0.0239 (0.0322) loss_contra: 0.0004 (0.0026) time: 2.6957 data: 0.0058 max mem: 31630 Epoch: [28] [3970/5278] eta: 0:58:51 lr: 1.596140030942401e-05 loss: 0.0450 (0.0490) loss_seg: 0.0448 (0.0487) loss_lansim: 0.0242 (0.0321) loss_contra: 0.0004 (0.0026) time: 2.6963 data: 0.0059 max mem: 31630 Epoch: [28] [3980/5278] eta: 0:58:24 lr: 1.5958980469235862e-05 loss: 0.0450 (0.0490) loss_seg: 0.0448 (0.0487) loss_lansim: 0.0242 (0.0321) loss_contra: 0.0005 (0.0026) time: 2.6980 data: 0.0059 max mem: 31630 Epoch: [28] [3990/5278] eta: 0:57:57 lr: 1.5956560588278432e-05 loss: 0.0455 (0.0490) loss_seg: 0.0451 (0.0487) loss_lansim: 0.0245 (0.0321) loss_contra: 0.0005 (0.0026) time: 2.6978 data: 0.0060 max mem: 31630 Epoch: [28] [4000/5278] eta: 0:57:30 lr: 1.5954140666544168e-05 loss: 0.0456 (0.0490) loss_seg: 0.0452 (0.0487) loss_lansim: 0.0242 (0.0321) loss_contra: 0.0005 (0.0026) time: 2.6999 data: 0.0060 max mem: 31630 Epoch: [28] [4010/5278] eta: 0:57:03 lr: 1.595172070402551e-05 loss: 0.0459 (0.0490) loss_seg: 0.0457 (0.0487) loss_lansim: 0.0239 (0.0321) loss_contra: 0.0005 (0.0026) time: 2.7003 data: 0.0060 max mem: 31630 Epoch: [28] [4020/5278] eta: 0:56:36 lr: 1.594930070071489e-05 loss: 0.0457 (0.0490) loss_seg: 0.0455 (0.0487) loss_lansim: 0.0242 (0.0320) loss_contra: 0.0005 (0.0027) time: 2.7004 data: 0.0059 max mem: 31630 Epoch: [28] [4030/5278] eta: 0:56:09 lr: 1.5946880656604745e-05 loss: 0.0456 (0.0490) loss_seg: 0.0451 (0.0487) loss_lansim: 0.0242 (0.0320) loss_contra: 0.0005 (0.0027) time: 2.7000 data: 0.0058 max mem: 31630 Epoch: [28] [4040/5278] eta: 0:55:42 lr: 1.594446057168751e-05 loss: 0.0460 (0.0491) loss_seg: 0.0457 (0.0487) loss_lansim: 0.0239 (0.0320) loss_contra: 0.0005 (0.0027) time: 2.6954 data: 0.0057 max mem: 31630 Epoch: [28] [4050/5278] eta: 0:55:15 lr: 1.5942040445955617e-05 loss: 0.0477 (0.0491) loss_seg: 0.0475 (0.0487) loss_lansim: 0.0237 (0.0320) loss_contra: 0.0006 (0.0027) time: 2.6944 data: 0.0057 max mem: 31630 Epoch: [28] [4060/5278] eta: 0:54:48 lr: 1.5939620279401492e-05 loss: 0.0477 (0.0491) loss_seg: 0.0475 (0.0487) loss_lansim: 0.0238 (0.0320) loss_contra: 0.0006 (0.0027) time: 2.6938 data: 0.0056 max mem: 31630 Epoch: [28] [4070/5278] eta: 0:54:21 lr: 1.5937200072017554e-05 loss: 0.0468 (0.0491) loss_seg: 0.0466 (0.0487) loss_lansim: 0.0237 (0.0319) loss_contra: 0.0006 (0.0027) time: 2.6941 data: 0.0056 max mem: 31630 Epoch: [28] [4080/5278] eta: 0:53:54 lr: 1.5934779823796222e-05 loss: 0.0469 (0.0491) loss_seg: 0.0467 (0.0487) loss_lansim: 0.0237 (0.0319) loss_contra: 0.0005 (0.0027) time: 2.6949 data: 0.0056 max mem: 31630 Epoch: [28] [4090/5278] eta: 0:53:27 lr: 1.5932359534729926e-05 loss: 0.0452 (0.0490) loss_seg: 0.0449 (0.0487) loss_lansim: 0.0239 (0.0319) loss_contra: 0.0005 (0.0027) time: 2.6929 data: 0.0054 max mem: 31630 Epoch: [28] [4100/5278] eta: 0:53:00 lr: 1.592993920481108e-05 loss: 0.0452 (0.0491) loss_seg: 0.0449 (0.0487) loss_lansim: 0.0236 (0.0319) loss_contra: 0.0004 (0.0027) time: 2.6911 data: 0.0054 max mem: 31630 Epoch: [28] [4110/5278] eta: 0:52:33 lr: 1.592751883403209e-05 loss: 0.0442 (0.0490) loss_seg: 0.0439 (0.0487) loss_lansim: 0.0236 (0.0319) loss_contra: 0.0003 (0.0027) time: 2.6899 data: 0.0053 max mem: 31630 Epoch: [28] [4120/5278] eta: 0:52:06 lr: 1.5925098422385372e-05 loss: 0.0442 (0.0490) loss_seg: 0.0439 (0.0487) loss_lansim: 0.0233 (0.0318) loss_contra: 0.0003 (0.0027) time: 2.6905 data: 0.0053 max mem: 31630 Epoch: [28] [4130/5278] eta: 0:51:39 lr: 1.5922677969863332e-05 loss: 0.0442 (0.0490) loss_seg: 0.0439 (0.0487) loss_lansim: 0.0233 (0.0318) loss_contra: 0.0003 (0.0027) time: 2.6895 data: 0.0053 max mem: 31630 Epoch: [28] [4140/5278] eta: 0:51:12 lr: 1.5920257476458387e-05 loss: 0.0420 (0.0490) loss_seg: 0.0418 (0.0487) loss_lansim: 0.0233 (0.0318) loss_contra: 0.0003 (0.0027) time: 2.6900 data: 0.0053 max mem: 31630 Epoch: [28] [4150/5278] eta: 0:50:45 lr: 1.591783694216292e-05 loss: 0.0415 (0.0490) loss_seg: 0.0413 (0.0487) loss_lansim: 0.0233 (0.0318) loss_contra: 0.0002 (0.0026) time: 2.6944 data: 0.0054 max mem: 31630 Epoch: [28] [4160/5278] eta: 0:50:18 lr: 1.5915416366969344e-05 loss: 0.0408 (0.0490) loss_seg: 0.0406 (0.0487) loss_lansim: 0.0231 (0.0318) loss_contra: 0.0002 (0.0026) time: 2.6963 data: 0.0054 max mem: 31630 Epoch: [28] [4170/5278] eta: 0:49:51 lr: 1.591299575087005e-05 loss: 0.0419 (0.0490) loss_seg: 0.0416 (0.0487) loss_lansim: 0.0233 (0.0317) loss_contra: 0.0002 (0.0026) time: 2.6981 data: 0.0055 max mem: 31630 Epoch: [28] [4180/5278] eta: 0:49:24 lr: 1.5910575093857445e-05 loss: 0.0412 (0.0490) loss_seg: 0.0409 (0.0487) loss_lansim: 0.0233 (0.0317) loss_contra: 0.0002 (0.0026) time: 2.6975 data: 0.0056 max mem: 31630 Epoch: [28] [4190/5278] eta: 0:48:57 lr: 1.5908154395923903e-05 loss: 0.0413 (0.0490) loss_seg: 0.0411 (0.0487) loss_lansim: 0.0231 (0.0317) loss_contra: 0.0002 (0.0026) time: 2.7026 data: 0.0057 max mem: 31630 Epoch: [28] [4200/5278] eta: 0:48:30 lr: 1.5905733657061824e-05 loss: 0.0414 (0.0490) loss_seg: 0.0412 (0.0487) loss_lansim: 0.0231 (0.0317) loss_contra: 0.0002 (0.0026) time: 2.7035 data: 0.0057 max mem: 31630 Epoch: [28] [4210/5278] eta: 0:48:03 lr: 1.5903312877263594e-05 loss: 0.0431 (0.0490) loss_seg: 0.0428 (0.0487) loss_lansim: 0.0230 (0.0317) loss_contra: 0.0002 (0.0026) time: 2.7011 data: 0.0058 max mem: 31630 Epoch: [28] [4220/5278] eta: 0:47:36 lr: 1.59008920565216e-05 loss: 0.0431 (0.0490) loss_seg: 0.0429 (0.0487) loss_lansim: 0.0231 (0.0317) loss_contra: 0.0002 (0.0026) time: 2.7045 data: 0.0057 max mem: 31630 Epoch: [28] [4230/5278] eta: 0:47:09 lr: 1.5898471194828214e-05 loss: 0.0432 (0.0490) loss_seg: 0.0430 (0.0487) loss_lansim: 0.0231 (0.0316) loss_contra: 0.0002 (0.0026) time: 2.7044 data: 0.0058 max mem: 31630 Epoch: [28] [4240/5278] eta: 0:46:42 lr: 1.5896050292175824e-05 loss: 0.0450 (0.0490) loss_seg: 0.0447 (0.0487) loss_lansim: 0.0230 (0.0316) loss_contra: 0.0001 (0.0026) time: 2.7103 data: 0.0058 max mem: 31630 Epoch: [28] [4250/5278] eta: 0:46:15 lr: 1.5893629348556794e-05 loss: 0.0466 (0.0491) loss_seg: 0.0464 (0.0487) loss_lansim: 0.0230 (0.0316) loss_contra: 0.0001 (0.0026) time: 2.7034 data: 0.0057 max mem: 31630 Epoch: [28] [4260/5278] eta: 0:45:48 lr: 1.5891208363963518e-05 loss: 0.0466 (0.0491) loss_seg: 0.0464 (0.0487) loss_lansim: 0.0230 (0.0316) loss_contra: 0.0001 (0.0026) time: 2.7034 data: 0.0056 max mem: 31630 Epoch: [28] [4270/5278] eta: 0:45:21 lr: 1.588878733838834e-05 loss: 0.0473 (0.0491) loss_seg: 0.0470 (0.0488) loss_lansim: 0.0230 (0.0316) loss_contra: 0.0001 (0.0026) time: 2.6996 data: 0.0055 max mem: 31630 Epoch: [28] [4280/5278] eta: 0:44:54 lr: 1.5886366271823648e-05 loss: 0.0475 (0.0491) loss_seg: 0.0473 (0.0488) loss_lansim: 0.0230 (0.0315) loss_contra: 0.0002 (0.0026) time: 2.6970 data: 0.0055 max mem: 31630 Epoch: [28] [4290/5278] eta: 0:44:27 lr: 1.5883945164261795e-05 loss: 0.0475 (0.0491) loss_seg: 0.0473 (0.0488) loss_lansim: 0.0230 (0.0315) loss_contra: 0.0002 (0.0026) time: 2.6968 data: 0.0054 max mem: 31630 Epoch: [28] [4300/5278] eta: 0:44:00 lr: 1.5881524015695147e-05 loss: 0.0473 (0.0491) loss_seg: 0.0470 (0.0488) loss_lansim: 0.0231 (0.0315) loss_contra: 0.0002 (0.0026) time: 2.6959 data: 0.0054 max mem: 31630 Epoch: [28] [4310/5278] eta: 0:43:33 lr: 1.5879102826116072e-05 loss: 0.0473 (0.0491) loss_seg: 0.0470 (0.0488) loss_lansim: 0.0234 (0.0315) loss_contra: 0.0003 (0.0026) time: 2.7030 data: 0.0053 max mem: 31630 Epoch: [28] [4320/5278] eta: 0:43:06 lr: 1.5876681595516913e-05 loss: 0.0475 (0.0491) loss_seg: 0.0473 (0.0488) loss_lansim: 0.0240 (0.0315) loss_contra: 0.0003 (0.0026) time: 2.6974 data: 0.0054 max mem: 31630 Epoch: [28] [4330/5278] eta: 0:42:39 lr: 1.587426032389003e-05 loss: 0.0481 (0.0491) loss_seg: 0.0478 (0.0488) loss_lansim: 0.0246 (0.0315) loss_contra: 0.0003 (0.0026) time: 2.6965 data: 0.0054 max mem: 31630 Epoch: [28] [4340/5278] eta: 0:42:12 lr: 1.5871839011227773e-05 loss: 0.0481 (0.0491) loss_seg: 0.0478 (0.0488) loss_lansim: 0.0252 (0.0315) loss_contra: 0.0003 (0.0026) time: 2.6931 data: 0.0055 max mem: 31630 Epoch: [28] [4350/5278] eta: 0:41:45 lr: 1.58694176575225e-05 loss: 0.0466 (0.0492) loss_seg: 0.0463 (0.0488) loss_lansim: 0.0256 (0.0315) loss_contra: 0.0002 (0.0026) time: 2.6941 data: 0.0055 max mem: 31630 Epoch: [28] [4360/5278] eta: 0:41:18 lr: 1.5866996262766542e-05 loss: 0.0470 (0.0491) loss_seg: 0.0468 (0.0488) loss_lansim: 0.0260 (0.0315) loss_contra: 0.0002 (0.0026) time: 2.6960 data: 0.0055 max mem: 31630 Epoch: [28] [4370/5278] eta: 0:40:51 lr: 1.586457482695225e-05 loss: 0.0470 (0.0491) loss_seg: 0.0468 (0.0488) loss_lansim: 0.0264 (0.0315) loss_contra: 0.0002 (0.0026) time: 2.6966 data: 0.0056 max mem: 31630 Epoch: [28] [4380/5278] eta: 0:40:24 lr: 1.586215335007196e-05 loss: 0.0466 (0.0491) loss_seg: 0.0463 (0.0488) loss_lansim: 0.0267 (0.0314) loss_contra: 0.0002 (0.0026) time: 2.7004 data: 0.0056 max mem: 31630 Epoch: [28] [4390/5278] eta: 0:39:57 lr: 1.5859731832118023e-05 loss: 0.0466 (0.0491) loss_seg: 0.0463 (0.0488) loss_lansim: 0.0270 (0.0314) loss_contra: 0.0002 (0.0026) time: 2.6966 data: 0.0055 max mem: 31630 Epoch: [28] [4400/5278] eta: 0:39:30 lr: 1.585731027308276e-05 loss: 0.0464 (0.0491) loss_seg: 0.0460 (0.0488) loss_lansim: 0.0274 (0.0314) loss_contra: 0.0002 (0.0026) time: 2.7004 data: 0.0056 max mem: 31630 Epoch: [28] [4410/5278] eta: 0:39:03 lr: 1.5854888672958505e-05 loss: 0.0464 (0.0491) loss_seg: 0.0461 (0.0488) loss_lansim: 0.0273 (0.0314) loss_contra: 0.0002 (0.0026) time: 2.6930 data: 0.0056 max mem: 31630 Epoch: [28] [4420/5278] eta: 0:38:36 lr: 1.585246703173759e-05 loss: 0.0464 (0.0491) loss_seg: 0.0461 (0.0488) loss_lansim: 0.0276 (0.0314) loss_contra: 0.0001 (0.0026) time: 2.6941 data: 0.0055 max mem: 31630 Epoch: [28] [4430/5278] eta: 0:38:09 lr: 1.5850045349412348e-05 loss: 0.0445 (0.0491) loss_seg: 0.0442 (0.0488) loss_lansim: 0.0278 (0.0314) loss_contra: 0.0001 (0.0026) time: 2.6920 data: 0.0054 max mem: 31630 Epoch: [28] [4440/5278] eta: 0:37:42 lr: 1.5847623625975092e-05 loss: 0.0441 (0.0491) loss_seg: 0.0438 (0.0488) loss_lansim: 0.0278 (0.0314) loss_contra: 0.0002 (0.0026) time: 2.6939 data: 0.0054 max mem: 31630 Epoch: [28] [4450/5278] eta: 0:37:15 lr: 1.5845201861418147e-05 loss: 0.0436 (0.0491) loss_seg: 0.0432 (0.0488) loss_lansim: 0.0279 (0.0314) loss_contra: 0.0002 (0.0026) time: 2.6972 data: 0.0054 max mem: 31630 Epoch: [28] [4460/5278] eta: 0:36:48 lr: 1.584278005573383e-05 loss: 0.0436 (0.0491) loss_seg: 0.0432 (0.0488) loss_lansim: 0.0278 (0.0314) loss_contra: 0.0001 (0.0026) time: 2.6940 data: 0.0053 max mem: 31630 Epoch: [28] [4470/5278] eta: 0:36:21 lr: 1.5840358208914473e-05 loss: 0.0429 (0.0491) loss_seg: 0.0426 (0.0488) loss_lansim: 0.0276 (0.0314) loss_contra: 0.0001 (0.0026) time: 2.6986 data: 0.0053 max mem: 31630 Epoch: [28] [4480/5278] eta: 0:35:54 lr: 1.5837936320952366e-05 loss: 0.0427 (0.0491) loss_seg: 0.0424 (0.0488) loss_lansim: 0.0275 (0.0314) loss_contra: 0.0001 (0.0026) time: 2.6921 data: 0.0053 max mem: 31630 Epoch: [28] [4490/5278] eta: 0:35:27 lr: 1.583551439183983e-05 loss: 0.0422 (0.0491) loss_seg: 0.0419 (0.0488) loss_lansim: 0.0273 (0.0314) loss_contra: 0.0001 (0.0026) time: 2.6949 data: 0.0053 max mem: 31630 Epoch: [28] [4500/5278] eta: 0:35:00 lr: 1.583309242156917e-05 loss: 0.0426 (0.0491) loss_seg: 0.0423 (0.0488) loss_lansim: 0.0273 (0.0314) loss_contra: 0.0001 (0.0026) time: 2.6918 data: 0.0053 max mem: 31630 Epoch: [28] [4510/5278] eta: 0:34:33 lr: 1.5830670410132698e-05 loss: 0.0426 (0.0492) loss_seg: 0.0423 (0.0488) loss_lansim: 0.0273 (0.0313) loss_contra: 0.0001 (0.0026) time: 2.6948 data: 0.0053 max mem: 31630 Epoch: [28] [4520/5278] eta: 0:34:06 lr: 1.5828248357522704e-05 loss: 0.0428 (0.0492) loss_seg: 0.0424 (0.0488) loss_lansim: 0.0273 (0.0313) loss_contra: 0.0001 (0.0026) time: 2.6963 data: 0.0053 max mem: 31630 Epoch: [28] [4530/5278] eta: 0:33:39 lr: 1.5825826263731495e-05 loss: 0.0429 (0.0492) loss_seg: 0.0426 (0.0488) loss_lansim: 0.0273 (0.0313) loss_contra: 0.0001 (0.0025) time: 2.6962 data: 0.0053 max mem: 31630 Epoch: [28] [4540/5278] eta: 0:33:12 lr: 1.5823404128751372e-05 loss: 0.0466 (0.0492) loss_seg: 0.0464 (0.0488) loss_lansim: 0.0273 (0.0313) loss_contra: 0.0001 (0.0025) time: 2.6960 data: 0.0053 max mem: 31630 Epoch: [28] [4550/5278] eta: 0:32:45 lr: 1.582098195257462e-05 loss: 0.0474 (0.0492) loss_seg: 0.0472 (0.0489) loss_lansim: 0.0268 (0.0313) loss_contra: 0.0001 (0.0026) time: 2.6923 data: 0.0053 max mem: 31630 Epoch: [28] [4560/5278] eta: 0:32:18 lr: 1.5818559735193535e-05 loss: 0.0474 (0.0492) loss_seg: 0.0472 (0.0489) loss_lansim: 0.0272 (0.0313) loss_contra: 0.0001 (0.0025) time: 2.6924 data: 0.0054 max mem: 31630 Epoch: [28] [4570/5278] eta: 0:31:51 lr: 1.5816137476600405e-05 loss: 0.0480 (0.0492) loss_seg: 0.0476 (0.0489) loss_lansim: 0.0271 (0.0313) loss_contra: 0.0002 (0.0025) time: 2.6933 data: 0.0055 max mem: 31630 Epoch: [28] [4580/5278] eta: 0:31:24 lr: 1.581371517678751e-05 loss: 0.0492 (0.0492) loss_seg: 0.0489 (0.0489) loss_lansim: 0.0274 (0.0313) loss_contra: 0.0002 (0.0025) time: 2.6944 data: 0.0055 max mem: 31630 Epoch: [28] [4590/5278] eta: 0:30:57 lr: 1.581129283574714e-05 loss: 0.0507 (0.0493) loss_seg: 0.0504 (0.0489) loss_lansim: 0.0274 (0.0313) loss_contra: 0.0002 (0.0025) time: 2.6990 data: 0.0055 max mem: 31630 Epoch: [28] [4600/5278] eta: 0:30:30 lr: 1.580887045347158e-05 loss: 0.0497 (0.0492) loss_seg: 0.0494 (0.0489) loss_lansim: 0.0279 (0.0313) loss_contra: 0.0002 (0.0025) time: 2.6969 data: 0.0055 max mem: 31630 Epoch: [28] [4610/5278] eta: 0:30:03 lr: 1.580644802995309e-05 loss: 0.0491 (0.0492) loss_seg: 0.0488 (0.0489) loss_lansim: 0.0274 (0.0313) loss_contra: 0.0002 (0.0025) time: 2.6977 data: 0.0055 max mem: 31630 Epoch: [28] [4620/5278] eta: 0:29:36 lr: 1.5804025565183955e-05 loss: 0.0487 (0.0493) loss_seg: 0.0482 (0.0489) loss_lansim: 0.0279 (0.0313) loss_contra: 0.0002 (0.0025) time: 2.6961 data: 0.0055 max mem: 31630 Epoch: [28] [4630/5278] eta: 0:29:09 lr: 1.580160305915645e-05 loss: 0.0477 (0.0493) loss_seg: 0.0474 (0.0489) loss_lansim: 0.0280 (0.0313) loss_contra: 0.0002 (0.0025) time: 2.6971 data: 0.0055 max mem: 31630 Epoch: [28] [4640/5278] eta: 0:28:42 lr: 1.5799180511862845e-05 loss: 0.0474 (0.0493) loss_seg: 0.0471 (0.0489) loss_lansim: 0.0282 (0.0313) loss_contra: 0.0002 (0.0025) time: 2.6963 data: 0.0055 max mem: 31630 Epoch: [28] [4650/5278] eta: 0:28:15 lr: 1.5796757923295393e-05 loss: 0.0468 (0.0493) loss_seg: 0.0464 (0.0489) loss_lansim: 0.0288 (0.0313) loss_contra: 0.0002 (0.0025) time: 2.6931 data: 0.0055 max mem: 31630 Epoch: [28] [4660/5278] eta: 0:27:48 lr: 1.579433529344637e-05 loss: 0.0457 (0.0493) loss_seg: 0.0454 (0.0489) loss_lansim: 0.0285 (0.0313) loss_contra: 0.0001 (0.0025) time: 2.6947 data: 0.0055 max mem: 31630 Epoch: [28] [4670/5278] eta: 0:27:21 lr: 1.579191262230803e-05 loss: 0.0454 (0.0493) loss_seg: 0.0451 (0.0489) loss_lansim: 0.0288 (0.0313) loss_contra: 0.0001 (0.0025) time: 2.6891 data: 0.0054 max mem: 31630 Epoch: [28] [4680/5278] eta: 0:26:54 lr: 1.578948990987264e-05 loss: 0.0446 (0.0493) loss_seg: 0.0442 (0.0490) loss_lansim: 0.0285 (0.0313) loss_contra: 0.0001 (0.0025) time: 2.6891 data: 0.0053 max mem: 31630 Epoch: [28] [4690/5278] eta: 0:26:27 lr: 1.5787067156132444e-05 loss: 0.0442 (0.0493) loss_seg: 0.0439 (0.0490) loss_lansim: 0.0282 (0.0312) loss_contra: 0.0001 (0.0025) time: 2.6827 data: 0.0053 max mem: 31630 Epoch: [28] [4700/5278] eta: 0:26:00 lr: 1.5784644361079698e-05 loss: 0.0438 (0.0493) loss_seg: 0.0435 (0.0490) loss_lansim: 0.0284 (0.0312) loss_contra: 0.0002 (0.0025) time: 2.6834 data: 0.0053 max mem: 31630 Epoch: [28] [4710/5278] eta: 0:25:33 lr: 1.5782221524706655e-05 loss: 0.0450 (0.0493) loss_seg: 0.0447 (0.0489) loss_lansim: 0.0287 (0.0312) loss_contra: 0.0001 (0.0025) time: 2.6832 data: 0.0053 max mem: 31630 Epoch: [28] [4720/5278] eta: 0:25:06 lr: 1.5779798647005563e-05 loss: 0.0457 (0.0493) loss_seg: 0.0454 (0.0490) loss_lansim: 0.0287 (0.0312) loss_contra: 0.0001 (0.0025) time: 2.6830 data: 0.0053 max mem: 31630 Epoch: [28] [4730/5278] eta: 0:24:39 lr: 1.577737572796866e-05 loss: 0.0464 (0.0493) loss_seg: 0.0461 (0.0490) loss_lansim: 0.0287 (0.0312) loss_contra: 0.0002 (0.0025) time: 2.6822 data: 0.0053 max mem: 31630 Epoch: [28] [4740/5278] eta: 0:24:12 lr: 1.577495276758819e-05 loss: 0.0464 (0.0493) loss_seg: 0.0461 (0.0490) loss_lansim: 0.0291 (0.0312) loss_contra: 0.0002 (0.0025) time: 2.6816 data: 0.0053 max mem: 31630 Epoch: [28] [4750/5278] eta: 0:23:44 lr: 1.577252976585639e-05 loss: 0.0464 (0.0493) loss_seg: 0.0461 (0.0490) loss_lansim: 0.0291 (0.0312) loss_contra: 0.0002 (0.0025) time: 2.6767 data: 0.0054 max mem: 31630 Epoch: [28] [4760/5278] eta: 0:23:17 lr: 1.5770106722765502e-05 loss: 0.0472 (0.0493) loss_seg: 0.0469 (0.0490) loss_lansim: 0.0291 (0.0312) loss_contra: 0.0002 (0.0025) time: 2.6678 data: 0.0054 max mem: 31630 Epoch: [28] [4770/5278] eta: 0:22:50 lr: 1.5767683638307758e-05 loss: 0.0472 (0.0493) loss_seg: 0.0469 (0.0490) loss_lansim: 0.0293 (0.0312) loss_contra: 0.0002 (0.0025) time: 2.6613 data: 0.0054 max mem: 31630 Epoch: [28] [4780/5278] eta: 0:22:23 lr: 1.576526051247538e-05 loss: 0.0471 (0.0493) loss_seg: 0.0468 (0.0490) loss_lansim: 0.0292 (0.0312) loss_contra: 0.0002 (0.0025) time: 2.6561 data: 0.0054 max mem: 31630 Epoch: [28] [4790/5278] eta: 0:21:56 lr: 1.5762837345260596e-05 loss: 0.0470 (0.0493) loss_seg: 0.0468 (0.0490) loss_lansim: 0.0295 (0.0312) loss_contra: 0.0002 (0.0025) time: 2.6486 data: 0.0054 max mem: 31630 Epoch: [28] [4800/5278] eta: 0:21:29 lr: 1.576041413665564e-05 loss: 0.0466 (0.0493) loss_seg: 0.0463 (0.0490) loss_lansim: 0.0295 (0.0312) loss_contra: 0.0002 (0.0025) time: 2.6420 data: 0.0054 max mem: 31630 Epoch: [28] [4810/5278] eta: 0:21:02 lr: 1.5757990886652734e-05 loss: 0.0470 (0.0493) loss_seg: 0.0468 (0.0490) loss_lansim: 0.0292 (0.0312) loss_contra: 0.0002 (0.0025) time: 2.6326 data: 0.0054 max mem: 31630 Epoch: [28] [4820/5278] eta: 0:20:35 lr: 1.5755567595244084e-05 loss: 0.0466 (0.0493) loss_seg: 0.0463 (0.0490) loss_lansim: 0.0289 (0.0312) loss_contra: 0.0002 (0.0025) time: 2.6249 data: 0.0055 max mem: 31630 Epoch: [28] [4830/5278] eta: 0:20:08 lr: 1.5753144262421914e-05 loss: 0.0460 (0.0493) loss_seg: 0.0457 (0.0489) loss_lansim: 0.0288 (0.0312) loss_contra: 0.0002 (0.0025) time: 2.6185 data: 0.0054 max mem: 31630 Epoch: [28] [4840/5278] eta: 0:19:41 lr: 1.5750720888178436e-05 loss: 0.0466 (0.0493) loss_seg: 0.0463 (0.0490) loss_lansim: 0.0284 (0.0312) loss_contra: 0.0002 (0.0025) time: 2.6122 data: 0.0054 max mem: 31630 Epoch: [28] [4850/5278] eta: 0:19:14 lr: 1.574829747250587e-05 loss: 0.0460 (0.0493) loss_seg: 0.0457 (0.0490) loss_lansim: 0.0284 (0.0312) loss_contra: 0.0002 (0.0025) time: 2.6129 data: 0.0054 max mem: 31630 Epoch: [28] [4860/5278] eta: 0:18:47 lr: 1.574587401539641e-05 loss: 0.0454 (0.0493) loss_seg: 0.0451 (0.0490) loss_lansim: 0.0284 (0.0312) loss_contra: 0.0002 (0.0025) time: 2.6139 data: 0.0054 max mem: 31630 Epoch: [28] [4870/5278] eta: 0:18:20 lr: 1.5743450516842265e-05 loss: 0.0455 (0.0493) loss_seg: 0.0452 (0.0490) loss_lansim: 0.0284 (0.0312) loss_contra: 0.0002 (0.0025) time: 2.6151 data: 0.0054 max mem: 31630 Epoch: [28] [4880/5278] eta: 0:17:53 lr: 1.5741026976835642e-05 loss: 0.0453 (0.0493) loss_seg: 0.0450 (0.0490) loss_lansim: 0.0284 (0.0312) loss_contra: 0.0001 (0.0025) time: 2.6169 data: 0.0054 max mem: 31630 Epoch: [28] [4890/5278] eta: 0:17:26 lr: 1.573860339536874e-05 loss: 0.0449 (0.0493) loss_seg: 0.0446 (0.0489) loss_lansim: 0.0284 (0.0312) loss_contra: 0.0002 (0.0025) time: 2.6239 data: 0.0054 max mem: 31630 Epoch: [28] [4900/5278] eta: 0:16:59 lr: 1.5736179772433752e-05 loss: 0.0451 (0.0493) loss_seg: 0.0448 (0.0489) loss_lansim: 0.0283 (0.0312) loss_contra: 0.0002 (0.0025) time: 2.6305 data: 0.0054 max mem: 31630 Epoch: [28] [4910/5278] eta: 0:16:32 lr: 1.573375610802287e-05 loss: 0.0454 (0.0493) loss_seg: 0.0451 (0.0490) loss_lansim: 0.0284 (0.0312) loss_contra: 0.0002 (0.0025) time: 2.6355 data: 0.0055 max mem: 31630 Epoch: [28] [4920/5278] eta: 0:16:05 lr: 1.573133240212829e-05 loss: 0.0440 (0.0493) loss_seg: 0.0437 (0.0490) loss_lansim: 0.0281 (0.0311) loss_contra: 0.0002 (0.0025) time: 2.6462 data: 0.0054 max mem: 31630 Epoch: [28] [4930/5278] eta: 0:15:38 lr: 1.57289086547422e-05 loss: 0.0434 (0.0493) loss_seg: 0.0431 (0.0490) loss_lansim: 0.0283 (0.0311) loss_contra: 0.0002 (0.0025) time: 2.6509 data: 0.0054 max mem: 31630 Epoch: [28] [4940/5278] eta: 0:15:11 lr: 1.572648486585678e-05 loss: 0.0433 (0.0493) loss_seg: 0.0430 (0.0489) loss_lansim: 0.0281 (0.0311) loss_contra: 0.0001 (0.0025) time: 2.6572 data: 0.0054 max mem: 31630 Epoch: [28] [4950/5278] eta: 0:14:44 lr: 1.5724061035464217e-05 loss: 0.0433 (0.0493) loss_seg: 0.0430 (0.0489) loss_lansim: 0.0282 (0.0311) loss_contra: 0.0001 (0.0025) time: 2.6640 data: 0.0054 max mem: 31630 Epoch: [28] [4960/5278] eta: 0:14:17 lr: 1.5721637163556692e-05 loss: 0.0431 (0.0493) loss_seg: 0.0429 (0.0489) loss_lansim: 0.0282 (0.0311) loss_contra: 0.0001 (0.0025) time: 2.6673 data: 0.0054 max mem: 31630 Epoch: [28] [4970/5278] eta: 0:13:50 lr: 1.5719213250126382e-05 loss: 0.0425 (0.0493) loss_seg: 0.0422 (0.0489) loss_lansim: 0.0283 (0.0311) loss_contra: 0.0002 (0.0025) time: 2.6769 data: 0.0054 max mem: 31630 Epoch: [28] [4980/5278] eta: 0:13:23 lr: 1.5716789295165458e-05 loss: 0.0419 (0.0492) loss_seg: 0.0416 (0.0489) loss_lansim: 0.0283 (0.0311) loss_contra: 0.0002 (0.0025) time: 2.6831 data: 0.0054 max mem: 31630 Epoch: [28] [4990/5278] eta: 0:12:56 lr: 1.5714365298666088e-05 loss: 0.0435 (0.0493) loss_seg: 0.0432 (0.0490) loss_lansim: 0.0281 (0.0311) loss_contra: 0.0002 (0.0025) time: 2.6845 data: 0.0054 max mem: 31630 Epoch: [28] [5000/5278] eta: 0:12:29 lr: 1.571194126062045e-05 loss: 0.0435 (0.0493) loss_seg: 0.0432 (0.0490) loss_lansim: 0.0285 (0.0311) loss_contra: 0.0002 (0.0025) time: 2.6858 data: 0.0054 max mem: 31630 Epoch: [28] [5010/5278] eta: 0:12:02 lr: 1.57095171810207e-05 loss: 0.0435 (0.0493) loss_seg: 0.0432 (0.0490) loss_lansim: 0.0285 (0.0311) loss_contra: 0.0002 (0.0024) time: 2.6898 data: 0.0054 max mem: 31630 Epoch: [28] [5020/5278] eta: 0:11:35 lr: 1.5707093059859017e-05 loss: 0.0439 (0.0493) loss_seg: 0.0433 (0.0489) loss_lansim: 0.0284 (0.0311) loss_contra: 0.0002 (0.0024) time: 2.6867 data: 0.0054 max mem: 31630 Epoch: [28] [5030/5278] eta: 0:11:08 lr: 1.5704668897127538e-05 loss: 0.0439 (0.0493) loss_seg: 0.0436 (0.0489) loss_lansim: 0.0281 (0.0311) loss_contra: 0.0003 (0.0024) time: 2.6873 data: 0.0054 max mem: 31630 Epoch: [28] [5040/5278] eta: 0:10:41 lr: 1.5702244692818436e-05 loss: 0.0446 (0.0493) loss_seg: 0.0442 (0.0489) loss_lansim: 0.0280 (0.0311) loss_contra: 0.0002 (0.0024) time: 2.6905 data: 0.0054 max mem: 31630 Epoch: [28] [5050/5278] eta: 0:10:14 lr: 1.5699820446923863e-05 loss: 0.0451 (0.0493) loss_seg: 0.0448 (0.0489) loss_lansim: 0.0276 (0.0311) loss_contra: 0.0002 (0.0024) time: 2.6905 data: 0.0054 max mem: 31630 Epoch: [28] [5060/5278] eta: 0:09:47 lr: 1.5697396159435974e-05 loss: 0.0443 (0.0492) loss_seg: 0.0440 (0.0489) loss_lansim: 0.0279 (0.0311) loss_contra: 0.0002 (0.0024) time: 2.6961 data: 0.0054 max mem: 31630 Epoch: [28] [5070/5278] eta: 0:09:20 lr: 1.5694971830346905e-05 loss: 0.0431 (0.0492) loss_seg: 0.0428 (0.0489) loss_lansim: 0.0276 (0.0311) loss_contra: 0.0002 (0.0024) time: 2.6933 data: 0.0054 max mem: 31630 Epoch: [28] [5080/5278] eta: 0:08:53 lr: 1.569254745964881e-05 loss: 0.0443 (0.0492) loss_seg: 0.0440 (0.0489) loss_lansim: 0.0274 (0.0311) loss_contra: 0.0002 (0.0024) time: 2.6948 data: 0.0054 max mem: 31630 Epoch: [28] [5090/5278] eta: 0:08:26 lr: 1.5690123047333835e-05 loss: 0.0426 (0.0492) loss_seg: 0.0423 (0.0489) loss_lansim: 0.0274 (0.0311) loss_contra: 0.0001 (0.0024) time: 2.6934 data: 0.0054 max mem: 31630 Epoch: [28] [5100/5278] eta: 0:07:59 lr: 1.5687698593394122e-05 loss: 0.0423 (0.0492) loss_seg: 0.0420 (0.0489) loss_lansim: 0.0274 (0.0311) loss_contra: 0.0001 (0.0024) time: 2.6951 data: 0.0054 max mem: 31630 Epoch: [28] [5110/5278] eta: 0:07:32 lr: 1.5685274097821795e-05 loss: 0.0422 (0.0492) loss_seg: 0.0419 (0.0489) loss_lansim: 0.0274 (0.0311) loss_contra: 0.0001 (0.0024) time: 2.6968 data: 0.0054 max mem: 31630 Epoch: [28] [5120/5278] eta: 0:07:06 lr: 1.5682849560609e-05 loss: 0.0425 (0.0492) loss_seg: 0.0422 (0.0489) loss_lansim: 0.0274 (0.0310) loss_contra: 0.0001 (0.0024) time: 2.6993 data: 0.0054 max mem: 31630 Epoch: [28] [5130/5278] eta: 0:06:39 lr: 1.5680424981747865e-05 loss: 0.0422 (0.0492) loss_seg: 0.0419 (0.0489) loss_lansim: 0.0271 (0.0310) loss_contra: 0.0001 (0.0024) time: 2.7038 data: 0.0054 max mem: 31630 Epoch: [28] [5140/5278] eta: 0:06:12 lr: 1.5678000361230527e-05 loss: 0.0417 (0.0492) loss_seg: 0.0414 (0.0489) loss_lansim: 0.0274 (0.0310) loss_contra: 0.0002 (0.0024) time: 2.7020 data: 0.0055 max mem: 31630 Epoch: [28] [5150/5278] eta: 0:05:45 lr: 1.5675575699049096e-05 loss: 0.0417 (0.0492) loss_seg: 0.0414 (0.0489) loss_lansim: 0.0275 (0.0310) loss_contra: 0.0002 (0.0024) time: 2.7036 data: 0.0055 max mem: 31630 Epoch: [28] [5160/5278] eta: 0:05:18 lr: 1.567315099519571e-05 loss: 0.0426 (0.0492) loss_seg: 0.0423 (0.0489) loss_lansim: 0.0274 (0.0310) loss_contra: 0.0002 (0.0024) time: 2.7009 data: 0.0055 max mem: 31630 Epoch: [28] [5170/5278] eta: 0:04:51 lr: 1.567072624966248e-05 loss: 0.0431 (0.0492) loss_seg: 0.0427 (0.0489) loss_lansim: 0.0275 (0.0310) loss_contra: 0.0002 (0.0024) time: 2.6997 data: 0.0055 max mem: 31630 Epoch: [28] [5180/5278] eta: 0:04:24 lr: 1.5668301462441534e-05 loss: 0.0423 (0.0492) loss_seg: 0.0420 (0.0489) loss_lansim: 0.0283 (0.0310) loss_contra: 0.0002 (0.0024) time: 2.6985 data: 0.0055 max mem: 31630 Epoch: [28] [5190/5278] eta: 0:03:57 lr: 1.5665876633524974e-05 loss: 0.0420 (0.0492) loss_seg: 0.0417 (0.0489) loss_lansim: 0.0288 (0.0310) loss_contra: 0.0002 (0.0024) time: 2.7008 data: 0.0055 max mem: 31630 Epoch: [28] [5200/5278] eta: 0:03:30 lr: 1.566345176290492e-05 loss: 0.0427 (0.0492) loss_seg: 0.0423 (0.0489) loss_lansim: 0.0288 (0.0310) loss_contra: 0.0002 (0.0024) time: 2.6985 data: 0.0055 max mem: 31630 Epoch: [28] [5210/5278] eta: 0:03:03 lr: 1.5661026850573476e-05 loss: 0.0420 (0.0492) loss_seg: 0.0417 (0.0488) loss_lansim: 0.0288 (0.0310) loss_contra: 0.0002 (0.0024) time: 2.6948 data: 0.0054 max mem: 31630 Epoch: [28] [5220/5278] eta: 0:02:36 lr: 1.5658601896522757e-05 loss: 0.0420 (0.0492) loss_seg: 0.0417 (0.0488) loss_lansim: 0.0299 (0.0310) loss_contra: 0.0002 (0.0024) time: 2.6921 data: 0.0054 max mem: 31630 Epoch: [28] [5230/5278] eta: 0:02:09 lr: 1.5656176900744857e-05 loss: 0.0427 (0.0492) loss_seg: 0.0423 (0.0488) loss_lansim: 0.0302 (0.0310) loss_contra: 0.0002 (0.0024) time: 2.6928 data: 0.0054 max mem: 31630 Epoch: [28] [5240/5278] eta: 0:01:42 lr: 1.5653751863231878e-05 loss: 0.0432 (0.0492) loss_seg: 0.0428 (0.0489) loss_lansim: 0.0306 (0.0310) loss_contra: 0.0002 (0.0024) time: 2.6905 data: 0.0054 max mem: 31630 Epoch: [28] [5250/5278] eta: 0:01:15 lr: 1.565132678397592e-05 loss: 0.0434 (0.0492) loss_seg: 0.0431 (0.0489) loss_lansim: 0.0304 (0.0310) loss_contra: 0.0002 (0.0024) time: 2.6881 data: 0.0053 max mem: 31630 Epoch: [28] [5260/5278] eta: 0:00:48 lr: 1.5648901662969077e-05 loss: 0.0427 (0.0492) loss_seg: 0.0423 (0.0489) loss_lansim: 0.0305 (0.0310) loss_contra: 0.0002 (0.0024) time: 2.6903 data: 0.0053 max mem: 31630 Epoch: [28] [5270/5278] eta: 0:00:21 lr: 1.5646476500203443e-05 loss: 0.0427 (0.0492) loss_seg: 0.0423 (0.0489) loss_lansim: 0.0305 (0.0310) loss_contra: 0.0002 (0.0024) time: 2.6912 data: 0.0053 max mem: 31630 Epoch: [28] Total time: 3:57:11 Test: [ 0/2573] eta: 1:08:22 time: 1.5946 data: 1.4329 max mem: 31630 Test: [ 100/2573] eta: 0:06:16 time: 0.1378 data: 0.0013 max mem: 31630 Test: [ 200/2573] eta: 0:05:50 time: 0.1428 data: 0.0014 max mem: 31630 Test: [ 300/2573] eta: 0:05:28 time: 0.1378 data: 0.0014 max mem: 31630 Test: [ 400/2573] eta: 0:05:11 time: 0.1402 data: 0.0014 max mem: 31630 Test: [ 500/2573] eta: 0:04:56 time: 0.1412 data: 0.0014 max mem: 31630 Test: [ 600/2573] eta: 0:04:41 time: 0.1426 data: 0.0014 max mem: 31630 Test: [ 700/2573] eta: 0:04:28 time: 0.1463 data: 0.0014 max mem: 31630 Test: [ 800/2573] eta: 0:04:14 time: 0.1433 data: 0.0014 max mem: 31630 Test: [ 900/2573] eta: 0:03:59 time: 0.1434 data: 0.0014 max mem: 31630 Test: [1000/2573] eta: 0:03:45 time: 0.1419 data: 0.0014 max mem: 31630 Test: [1100/2573] eta: 0:03:30 time: 0.1412 data: 0.0014 max mem: 31630 Test: [1200/2573] eta: 0:03:16 time: 0.1436 data: 0.0014 max mem: 31630 Test: [1300/2573] eta: 0:03:02 time: 0.1421 data: 0.0014 max mem: 31630 Test: [1400/2573] eta: 0:02:47 time: 0.1384 data: 0.0014 max mem: 31630 Test: [1500/2573] eta: 0:02:33 time: 0.1428 data: 0.0014 max mem: 31630 Test: [1600/2573] eta: 0:02:18 time: 0.1421 data: 0.0014 max mem: 31630 Test: [1700/2573] eta: 0:02:04 time: 0.1428 data: 0.0014 max mem: 31630 Test: [1800/2573] eta: 0:01:50 time: 0.1399 data: 0.0014 max mem: 31630 Test: [1900/2573] eta: 0:01:35 time: 0.1383 data: 0.0014 max mem: 31630 Test: [2000/2573] eta: 0:01:21 time: 0.1383 data: 0.0014 max mem: 31630 Test: [2100/2573] eta: 0:01:07 time: 0.1427 data: 0.0014 max mem: 31630 Test: [2200/2573] eta: 0:00:52 time: 0.1377 data: 0.0014 max mem: 31630 Test: [2300/2573] eta: 0:00:38 time: 0.1428 data: 0.0014 max mem: 31630 Test: [2400/2573] eta: 0:00:24 time: 0.1405 data: 0.0014 max mem: 31630 Test: [2500/2573] eta: 0:00:10 time: 0.1429 data: 0.0014 max mem: 31630 Test: Total time: 0:06:05 Final results: precision@0.5 = 69.55 precision@0.6 = 64.52 precision@0.7 = 58.15 precision@0.8 = 46.59 precision@0.9 = 22.77 overall IoU = 58.43 mean IoU = 61.19 Epoch: [29] [ 0/5278] eta: 6:37:13 lr: 1.564453633991929e-05 loss: 0.0344 (0.0344) loss_seg: 0.0342 (0.0342) loss_lansim: 0.0264 (0.0264) loss_contra: 0.0000 (0.0000) time: 4.5156 data: 1.6220 max mem: 31630 Epoch: [29] [ 10/5278] eta: 4:09:40 lr: 1.564211110196789e-05 loss: 0.0406 (0.0388) loss_seg: 0.0403 (0.0385) loss_lansim: 0.0327 (0.0322) loss_contra: 0.0004 (0.0021) time: 2.8436 data: 0.1522 max mem: 31630 Epoch: [29] [ 20/5278] eta: 4:04:10 lr: 1.563968582223554e-05 loss: 0.0406 (0.0405) loss_seg: 0.0403 (0.0401) loss_lansim: 0.0327 (0.0321) loss_contra: 0.0003 (0.0015) time: 2.7864 data: 0.0820 max mem: 31630 Epoch: [29] [ 30/5278] eta: 4:00:44 lr: 1.563726050071432e-05 loss: 0.0406 (0.0435) loss_seg: 0.0403 (0.0432) loss_lansim: 0.0327 (0.0325) loss_contra: 0.0003 (0.0014) time: 2.7524 data: 0.0573 max mem: 31630 Epoch: [29] [ 40/5278] eta: 4:00:09 lr: 1.5634835137396307e-05 loss: 0.0410 (0.0448) loss_seg: 0.0407 (0.0445) loss_lansim: 0.0315 (0.0317) loss_contra: 0.0002 (0.0012) time: 2.7510 data: 0.0446 max mem: 31630 Epoch: [29] [ 50/5278] eta: 3:58:35 lr: 1.563240973227358e-05 loss: 0.0429 (0.0471) loss_seg: 0.0426 (0.0468) loss_lansim: 0.0308 (0.0315) loss_contra: 0.0002 (0.0011) time: 2.7382 data: 0.0369 max mem: 31630 Epoch: [29] [ 60/5278] eta: 3:58:21 lr: 1.5629984285338207e-05 loss: 0.0435 (0.0481) loss_seg: 0.0432 (0.0478) loss_lansim: 0.0306 (0.0312) loss_contra: 0.0002 (0.0009) time: 2.7407 data: 0.0317 max mem: 31630 Epoch: [29] [ 70/5278] eta: 3:56:58 lr: 1.562755879658226e-05 loss: 0.0439 (0.0475) loss_seg: 0.0436 (0.0471) loss_lansim: 0.0307 (0.0313) loss_contra: 0.0002 (0.0009) time: 2.7302 data: 0.0280 max mem: 31630 Epoch: [29] [ 80/5278] eta: 3:56:50 lr: 1.5625133265997803e-05 loss: 0.0431 (0.0464) loss_seg: 0.0427 (0.0461) loss_lansim: 0.0312 (0.0316) loss_contra: 0.0002 (0.0011) time: 2.7339 data: 0.0252 max mem: 31630 Epoch: [29] [ 90/5278] eta: 3:55:49 lr: 1.562270769357691e-05 loss: 0.0432 (0.0473) loss_seg: 0.0429 (0.0470) loss_lansim: 0.0312 (0.0316) loss_contra: 0.0002 (0.0011) time: 2.7273 data: 0.0230 max mem: 31630 Epoch: [29] [ 100/5278] eta: 3:55:22 lr: 1.5620282079311626e-05 loss: 0.0435 (0.0479) loss_seg: 0.0432 (0.0475) loss_lansim: 0.0312 (0.0319) loss_contra: 0.0002 (0.0011) time: 2.7095 data: 0.0052 max mem: 31630 Epoch: [29] [ 110/5278] eta: 3:54:28 lr: 1.561785642319402e-05 loss: 0.0451 (0.0480) loss_seg: 0.0448 (0.0477) loss_lansim: 0.0316 (0.0322) loss_contra: 0.0002 (0.0014) time: 2.7090 data: 0.0052 max mem: 31630 Epoch: [29] [ 120/5278] eta: 3:53:42 lr: 1.561543072521614e-05 loss: 0.0453 (0.0474) loss_seg: 0.0450 (0.0471) loss_lansim: 0.0318 (0.0323) loss_contra: 0.0002 (0.0015) time: 2.7044 data: 0.0052 max mem: 31630 Epoch: [29] [ 130/5278] eta: 3:53:12 lr: 1.561300498537005e-05 loss: 0.0451 (0.0471) loss_seg: 0.0448 (0.0467) loss_lansim: 0.0319 (0.0325) loss_contra: 0.0002 (0.0014) time: 2.7073 data: 0.0052 max mem: 31630 Epoch: [29] [ 140/5278] eta: 3:52:43 lr: 1.5610579203647786e-05 loss: 0.0459 (0.0478) loss_seg: 0.0455 (0.0475) loss_lansim: 0.0326 (0.0326) loss_contra: 0.0003 (0.0030) time: 2.7042 data: 0.0052 max mem: 31630 Epoch: [29] [ 150/5278] eta: 3:52:23 lr: 1.56081533800414e-05 loss: 0.0451 (0.0481) loss_seg: 0.0448 (0.0477) loss_lansim: 0.0329 (0.0327) loss_contra: 0.0003 (0.0030) time: 2.7094 data: 0.0051 max mem: 31630 Epoch: [29] [ 160/5278] eta: 3:51:55 lr: 1.5605727514542936e-05 loss: 0.0447 (0.0480) loss_seg: 0.0444 (0.0477) loss_lansim: 0.0337 (0.0329) loss_contra: 0.0003 (0.0035) time: 2.7055 data: 0.0052 max mem: 31630 Epoch: [29] [ 170/5278] eta: 3:51:25 lr: 1.560330160714444e-05 loss: 0.0445 (0.0480) loss_seg: 0.0442 (0.0476) loss_lansim: 0.0340 (0.0330) loss_contra: 0.0003 (0.0033) time: 2.7099 data: 0.0051 max mem: 31630 Epoch: [29] [ 180/5278] eta: 3:50:58 lr: 1.560087565783794e-05 loss: 0.0459 (0.0484) loss_seg: 0.0455 (0.0481) loss_lansim: 0.0341 (0.0332) loss_contra: 0.0003 (0.0032) time: 2.7058 data: 0.0051 max mem: 31630 Epoch: [29] [ 190/5278] eta: 3:50:33 lr: 1.5598449666615475e-05 loss: 0.0450 (0.0483) loss_seg: 0.0447 (0.0479) loss_lansim: 0.0345 (0.0335) loss_contra: 0.0003 (0.0030) time: 2.7111 data: 0.0052 max mem: 31630 Epoch: [29] [ 200/5278] eta: 3:49:58 lr: 1.5596023633469077e-05 loss: 0.0447 (0.0483) loss_seg: 0.0444 (0.0480) loss_lansim: 0.0345 (0.0337) loss_contra: 0.0003 (0.0029) time: 2.7070 data: 0.0052 max mem: 31630 Epoch: [29] [ 210/5278] eta: 3:49:32 lr: 1.559359755839078e-05 loss: 0.0446 (0.0486) loss_seg: 0.0443 (0.0482) loss_lansim: 0.0346 (0.0339) loss_contra: 0.0003 (0.0029) time: 2.7122 data: 0.0052 max mem: 31630 Epoch: [29] [ 220/5278] eta: 3:49:05 lr: 1.5591171441372607e-05 loss: 0.0447 (0.0486) loss_seg: 0.0444 (0.0482) loss_lansim: 0.0353 (0.0341) loss_contra: 0.0003 (0.0028) time: 2.7162 data: 0.0052 max mem: 31630 Epoch: [29] [ 230/5278] eta: 3:48:30 lr: 1.5588745282406573e-05 loss: 0.0457 (0.0488) loss_seg: 0.0453 (0.0484) loss_lansim: 0.0358 (0.0342) loss_contra: 0.0003 (0.0027) time: 2.7137 data: 0.0052 max mem: 31630 Epoch: [29] [ 240/5278] eta: 3:47:59 lr: 1.558631908148471e-05 loss: 0.0447 (0.0486) loss_seg: 0.0443 (0.0483) loss_lansim: 0.0368 (0.0345) loss_contra: 0.0003 (0.0027) time: 2.7117 data: 0.0052 max mem: 31630 Epoch: [29] [ 250/5278] eta: 3:47:33 lr: 1.5583892838599037e-05 loss: 0.0447 (0.0489) loss_seg: 0.0444 (0.0486) loss_lansim: 0.0376 (0.0346) loss_contra: 0.0003 (0.0027) time: 2.7099 data: 0.0052 max mem: 31630 Epoch: [29] [ 260/5278] eta: 3:47:00 lr: 1.5581466553741555e-05 loss: 0.0448 (0.0491) loss_seg: 0.0444 (0.0487) loss_lansim: 0.0376 (0.0348) loss_contra: 0.0003 (0.0026) time: 2.7071 data: 0.0052 max mem: 31630 Epoch: [29] [ 270/5278] eta: 3:46:29 lr: 1.5579040226904288e-05 loss: 0.0457 (0.0493) loss_seg: 0.0453 (0.0489) loss_lansim: 0.0379 (0.0350) loss_contra: 0.0003 (0.0026) time: 2.7054 data: 0.0052 max mem: 31630 Epoch: [29] [ 280/5278] eta: 3:45:59 lr: 1.5576613858079238e-05 loss: 0.0447 (0.0491) loss_seg: 0.0443 (0.0487) loss_lansim: 0.0379 (0.0351) loss_contra: 0.0003 (0.0025) time: 2.7029 data: 0.0052 max mem: 31630 Epoch: [29] [ 290/5278] eta: 3:45:26 lr: 1.5574187447258416e-05 loss: 0.0443 (0.0488) loss_seg: 0.0439 (0.0484) loss_lansim: 0.0390 (0.0352) loss_contra: 0.0003 (0.0025) time: 2.6987 data: 0.0051 max mem: 31630 Epoch: [29] [ 300/5278] eta: 3:45:00 lr: 1.5571760994433827e-05 loss: 0.0442 (0.0486) loss_seg: 0.0438 (0.0482) loss_lansim: 0.0384 (0.0353) loss_contra: 0.0003 (0.0025) time: 2.7013 data: 0.0051 max mem: 31630 Epoch: [29] [ 310/5278] eta: 3:44:27 lr: 1.5569334499597464e-05 loss: 0.0430 (0.0485) loss_seg: 0.0426 (0.0481) loss_lansim: 0.0388 (0.0353) loss_contra: 0.0003 (0.0024) time: 2.6969 data: 0.0051 max mem: 31630 Epoch: [29] [ 320/5278] eta: 3:44:04 lr: 1.556690796274132e-05 loss: 0.0420 (0.0484) loss_seg: 0.0416 (0.0481) loss_lansim: 0.0388 (0.0355) loss_contra: 0.0003 (0.0024) time: 2.6987 data: 0.0051 max mem: 31630 Epoch: [29] [ 330/5278] eta: 3:43:32 lr: 1.5564481383857403e-05 loss: 0.0419 (0.0484) loss_seg: 0.0415 (0.0480) loss_lansim: 0.0388 (0.0356) loss_contra: 0.0003 (0.0023) time: 2.6982 data: 0.0051 max mem: 31630 Epoch: [29] [ 340/5278] eta: 3:43:10 lr: 1.5562054762937706e-05 loss: 0.0420 (0.0483) loss_seg: 0.0416 (0.0480) loss_lansim: 0.0386 (0.0357) loss_contra: 0.0002 (0.0023) time: 2.7028 data: 0.0052 max mem: 31630 Epoch: [29] [ 350/5278] eta: 3:42:38 lr: 1.5559628099974204e-05 loss: 0.0420 (0.0482) loss_seg: 0.0416 (0.0478) loss_lansim: 0.0386 (0.0358) loss_contra: 0.0002 (0.0023) time: 2.6989 data: 0.0052 max mem: 31630 Epoch: [29] [ 360/5278] eta: 3:42:10 lr: 1.5557201394958883e-05 loss: 0.0419 (0.0480) loss_seg: 0.0415 (0.0476) loss_lansim: 0.0385 (0.0358) loss_contra: 0.0002 (0.0025) time: 2.7005 data: 0.0052 max mem: 31630 Epoch: [29] [ 370/5278] eta: 3:41:41 lr: 1.5554774647883735e-05 loss: 0.0416 (0.0477) loss_seg: 0.0411 (0.0473) loss_lansim: 0.0378 (0.0359) loss_contra: 0.0002 (0.0025) time: 2.7013 data: 0.0052 max mem: 31630 Epoch: [29] [ 380/5278] eta: 3:41:16 lr: 1.5552347858740744e-05 loss: 0.0411 (0.0475) loss_seg: 0.0407 (0.0471) loss_lansim: 0.0377 (0.0359) loss_contra: 0.0002 (0.0026) time: 2.7038 data: 0.0052 max mem: 31630 Epoch: [29] [ 390/5278] eta: 3:40:45 lr: 1.5549921027521868e-05 loss: 0.0409 (0.0472) loss_seg: 0.0405 (0.0468) loss_lansim: 0.0371 (0.0358) loss_contra: 0.0002 (0.0026) time: 2.7037 data: 0.0052 max mem: 31630 Epoch: [29] [ 400/5278] eta: 3:40:17 lr: 1.5547494154219096e-05 loss: 0.0414 (0.0473) loss_seg: 0.0411 (0.0469) loss_lansim: 0.0370 (0.0358) loss_contra: 0.0002 (0.0025) time: 2.7028 data: 0.0052 max mem: 31630 Epoch: [29] [ 410/5278] eta: 3:39:50 lr: 1.554506723882439e-05 loss: 0.0411 (0.0471) loss_seg: 0.0407 (0.0467) loss_lansim: 0.0366 (0.0358) loss_contra: 0.0002 (0.0025) time: 2.7054 data: 0.0052 max mem: 31630 Epoch: [29] [ 420/5278] eta: 3:39:23 lr: 1.554264028132973e-05 loss: 0.0408 (0.0470) loss_seg: 0.0404 (0.0466) loss_lansim: 0.0363 (0.0358) loss_contra: 0.0002 (0.0025) time: 2.7033 data: 0.0052 max mem: 31630 Epoch: [29] [ 430/5278] eta: 3:38:57 lr: 1.5540213281727075e-05 loss: 0.0400 (0.0468) loss_seg: 0.0396 (0.0464) loss_lansim: 0.0360 (0.0357) loss_contra: 0.0002 (0.0024) time: 2.7072 data: 0.0052 max mem: 31630 Epoch: [29] [ 440/5278] eta: 3:38:27 lr: 1.553778624000838e-05 loss: 0.0387 (0.0466) loss_seg: 0.0384 (0.0463) loss_lansim: 0.0355 (0.0357) loss_contra: 0.0002 (0.0026) time: 2.7015 data: 0.0052 max mem: 31630 Epoch: [29] [ 450/5278] eta: 3:38:03 lr: 1.553535915616561e-05 loss: 0.0387 (0.0466) loss_seg: 0.0384 (0.0462) loss_lansim: 0.0354 (0.0357) loss_contra: 0.0002 (0.0026) time: 2.7069 data: 0.0053 max mem: 31630 Epoch: [29] [ 460/5278] eta: 3:37:35 lr: 1.553293203019073e-05 loss: 0.0391 (0.0467) loss_seg: 0.0388 (0.0463) loss_lansim: 0.0349 (0.0357) loss_contra: 0.0002 (0.0025) time: 2.7068 data: 0.0053 max mem: 31630 Epoch: [29] [ 470/5278] eta: 3:37:10 lr: 1.5530504862075677e-05 loss: 0.0393 (0.0469) loss_seg: 0.0389 (0.0465) loss_lansim: 0.0348 (0.0358) loss_contra: 0.0002 (0.0025) time: 2.7096 data: 0.0052 max mem: 31630 Epoch: [29] [ 480/5278] eta: 3:36:39 lr: 1.5528077651812414e-05 loss: 0.0407 (0.0469) loss_seg: 0.0403 (0.0465) loss_lansim: 0.0353 (0.0358) loss_contra: 0.0002 (0.0025) time: 2.7045 data: 0.0052 max mem: 31630 Epoch: [29] [ 490/5278] eta: 3:36:16 lr: 1.5525650399392883e-05 loss: 0.0420 (0.0468) loss_seg: 0.0417 (0.0465) loss_lansim: 0.0357 (0.0360) loss_contra: 0.0002 (0.0024) time: 2.7120 data: 0.0052 max mem: 31630 Epoch: [29] [ 500/5278] eta: 3:35:48 lr: 1.5523223104809035e-05 loss: 0.0408 (0.0468) loss_seg: 0.0404 (0.0464) loss_lansim: 0.0364 (0.0361) loss_contra: 0.0002 (0.0024) time: 2.7115 data: 0.0052 max mem: 31630 Epoch: [29] [ 510/5278] eta: 3:35:22 lr: 1.5520795768052802e-05 loss: 0.0420 (0.0469) loss_seg: 0.0417 (0.0465) loss_lansim: 0.0369 (0.0362) loss_contra: 0.0002 (0.0025) time: 2.7128 data: 0.0052 max mem: 31630 Epoch: [29] [ 520/5278] eta: 3:34:52 lr: 1.5518368389116127e-05 loss: 0.0415 (0.0468) loss_seg: 0.0411 (0.0464) loss_lansim: 0.0375 (0.0363) loss_contra: 0.0002 (0.0025) time: 2.7092 data: 0.0051 max mem: 31630 Epoch: [29] [ 530/5278] eta: 3:34:29 lr: 1.5515940967990947e-05 loss: 0.0433 (0.0474) loss_seg: 0.0430 (0.0470) loss_lansim: 0.0383 (0.0364) loss_contra: 0.0002 (0.0024) time: 2.7132 data: 0.0051 max mem: 31630 Epoch: [29] [ 540/5278] eta: 3:34:01 lr: 1.5513513504669195e-05 loss: 0.0439 (0.0474) loss_seg: 0.0435 (0.0470) loss_lansim: 0.0390 (0.0364) loss_contra: 0.0002 (0.0025) time: 2.7147 data: 0.0050 max mem: 31630 Epoch: [29] [ 550/5278] eta: 3:33:34 lr: 1.5511085999142806e-05 loss: 0.0439 (0.0473) loss_seg: 0.0435 (0.0469) loss_lansim: 0.0392 (0.0365) loss_contra: 0.0002 (0.0025) time: 2.7124 data: 0.0050 max mem: 31630 Epoch: [29] [ 560/5278] eta: 3:33:04 lr: 1.5508658451403693e-05 loss: 0.0436 (0.0474) loss_seg: 0.0431 (0.0470) loss_lansim: 0.0394 (0.0365) loss_contra: 0.0002 (0.0024) time: 2.7100 data: 0.0049 max mem: 31630 Epoch: [29] [ 570/5278] eta: 3:32:36 lr: 1.550623086144379e-05 loss: 0.0439 (0.0474) loss_seg: 0.0433 (0.0470) loss_lansim: 0.0392 (0.0366) loss_contra: 0.0003 (0.0025) time: 2.7063 data: 0.0049 max mem: 31630 Epoch: [29] [ 580/5278] eta: 3:32:08 lr: 1.5503803229255014e-05 loss: 0.0439 (0.0475) loss_seg: 0.0433 (0.0471) loss_lansim: 0.0400 (0.0367) loss_contra: 0.0003 (0.0025) time: 2.7094 data: 0.0049 max mem: 31630 Epoch: [29] [ 590/5278] eta: 3:31:42 lr: 1.5501375554829296e-05 loss: 0.0434 (0.0475) loss_seg: 0.0430 (0.0471) loss_lansim: 0.0395 (0.0368) loss_contra: 0.0003 (0.0025) time: 2.7066 data: 0.0048 max mem: 31630 Epoch: [29] [ 600/5278] eta: 3:31:16 lr: 1.5498947838158532e-05 loss: 0.0439 (0.0474) loss_seg: 0.0435 (0.0470) loss_lansim: 0.0395 (0.0368) loss_contra: 0.0003 (0.0024) time: 2.7082 data: 0.0048 max mem: 31630 Epoch: [29] [ 610/5278] eta: 3:30:48 lr: 1.5496520079234645e-05 loss: 0.0437 (0.0475) loss_seg: 0.0433 (0.0471) loss_lansim: 0.0400 (0.0369) loss_contra: 0.0003 (0.0026) time: 2.7070 data: 0.0048 max mem: 31630 Epoch: [29] [ 620/5278] eta: 3:30:20 lr: 1.549409227804954e-05 loss: 0.0444 (0.0474) loss_seg: 0.0440 (0.0470) loss_lansim: 0.0403 (0.0370) loss_contra: 0.0003 (0.0026) time: 2.7081 data: 0.0048 max mem: 31630 Epoch: [29] [ 630/5278] eta: 3:29:51 lr: 1.549166443459513e-05 loss: 0.0440 (0.0474) loss_seg: 0.0436 (0.0470) loss_lansim: 0.0403 (0.0371) loss_contra: 0.0003 (0.0025) time: 2.7014 data: 0.0048 max mem: 31630 Epoch: [29] [ 640/5278] eta: 3:29:26 lr: 1.548923654886331e-05 loss: 0.0437 (0.0472) loss_seg: 0.0433 (0.0468) loss_lansim: 0.0404 (0.0372) loss_contra: 0.0003 (0.0025) time: 2.7047 data: 0.0048 max mem: 31630 Epoch: [29] [ 650/5278] eta: 3:28:58 lr: 1.5486808620845983e-05 loss: 0.0427 (0.0472) loss_seg: 0.0423 (0.0468) loss_lansim: 0.0405 (0.0372) loss_contra: 0.0003 (0.0026) time: 2.7027 data: 0.0048 max mem: 31630 Epoch: [29] [ 660/5278] eta: 3:28:32 lr: 1.5484380650535048e-05 loss: 0.0414 (0.0471) loss_seg: 0.0410 (0.0467) loss_lansim: 0.0418 (0.0373) loss_contra: 0.0004 (0.0026) time: 2.7084 data: 0.0048 max mem: 31630 Epoch: [29] [ 670/5278] eta: 3:28:05 lr: 1.5481952637922407e-05 loss: 0.0412 (0.0470) loss_seg: 0.0407 (0.0466) loss_lansim: 0.0420 (0.0373) loss_contra: 0.0004 (0.0026) time: 2.7098 data: 0.0049 max mem: 31630 Epoch: [29] [ 680/5278] eta: 3:27:38 lr: 1.5479524582999935e-05 loss: 0.0409 (0.0470) loss_seg: 0.0405 (0.0466) loss_lansim: 0.0417 (0.0374) loss_contra: 0.0004 (0.0026) time: 2.7106 data: 0.0049 max mem: 31630 Epoch: [29] [ 690/5278] eta: 3:27:10 lr: 1.547709648575953e-05 loss: 0.0408 (0.0469) loss_seg: 0.0403 (0.0465) loss_lansim: 0.0411 (0.0374) loss_contra: 0.0003 (0.0026) time: 2.7070 data: 0.0049 max mem: 31630 Epoch: [29] [ 700/5278] eta: 3:26:42 lr: 1.5474668346193077e-05 loss: 0.0412 (0.0469) loss_seg: 0.0407 (0.0465) loss_lansim: 0.0411 (0.0375) loss_contra: 0.0003 (0.0026) time: 2.7058 data: 0.0048 max mem: 31630 Epoch: [29] [ 710/5278] eta: 3:26:14 lr: 1.5472240164292466e-05 loss: 0.0412 (0.0469) loss_seg: 0.0407 (0.0465) loss_lansim: 0.0404 (0.0375) loss_contra: 0.0003 (0.0026) time: 2.7042 data: 0.0048 max mem: 31630 Epoch: [29] [ 720/5278] eta: 3:25:47 lr: 1.5469811940049558e-05 loss: 0.0412 (0.0469) loss_seg: 0.0407 (0.0465) loss_lansim: 0.0402 (0.0376) loss_contra: 0.0003 (0.0025) time: 2.7069 data: 0.0048 max mem: 31630 Epoch: [29] [ 730/5278] eta: 3:25:17 lr: 1.5467383673456246e-05 loss: 0.0413 (0.0469) loss_seg: 0.0410 (0.0465) loss_lansim: 0.0402 (0.0376) loss_contra: 0.0004 (0.0025) time: 2.7036 data: 0.0048 max mem: 31630 Epoch: [29] [ 740/5278] eta: 3:24:49 lr: 1.5464955364504395e-05 loss: 0.0412 (0.0468) loss_seg: 0.0407 (0.0464) loss_lansim: 0.0402 (0.0376) loss_contra: 0.0004 (0.0025) time: 2.6990 data: 0.0048 max mem: 31630 Epoch: [29] [ 750/5278] eta: 3:24:20 lr: 1.5462527013185884e-05 loss: 0.0404 (0.0468) loss_seg: 0.0400 (0.0464) loss_lansim: 0.0401 (0.0377) loss_contra: 0.0004 (0.0025) time: 2.6974 data: 0.0049 max mem: 31630 Epoch: [29] [ 760/5278] eta: 3:23:51 lr: 1.546009861949257e-05 loss: 0.0401 (0.0468) loss_seg: 0.0398 (0.0464) loss_lansim: 0.0396 (0.0377) loss_contra: 0.0003 (0.0025) time: 2.6922 data: 0.0049 max mem: 31630 Epoch: [29] [ 770/5278] eta: 3:23:22 lr: 1.5457670183416325e-05 loss: 0.0405 (0.0468) loss_seg: 0.0401 (0.0464) loss_lansim: 0.0396 (0.0377) loss_contra: 0.0003 (0.0025) time: 2.6889 data: 0.0049 max mem: 31630 Epoch: [29] [ 780/5278] eta: 3:22:54 lr: 1.5455241704949008e-05 loss: 0.0401 (0.0466) loss_seg: 0.0398 (0.0462) loss_lansim: 0.0393 (0.0377) loss_contra: 0.0003 (0.0025) time: 2.6873 data: 0.0049 max mem: 31630 Epoch: [29] [ 790/5278] eta: 3:22:28 lr: 1.545281318408248e-05 loss: 0.0405 (0.0466) loss_seg: 0.0400 (0.0462) loss_lansim: 0.0391 (0.0377) loss_contra: 0.0003 (0.0025) time: 2.6898 data: 0.0050 max mem: 31630 Epoch: [29] [ 800/5278] eta: 3:22:01 lr: 1.54503846208086e-05 loss: 0.0403 (0.0468) loss_seg: 0.0399 (0.0464) loss_lansim: 0.0387 (0.0377) loss_contra: 0.0003 (0.0025) time: 2.6916 data: 0.0050 max mem: 31630 Epoch: [29] [ 810/5278] eta: 3:21:33 lr: 1.5447956015119208e-05 loss: 0.0403 (0.0468) loss_seg: 0.0399 (0.0464) loss_lansim: 0.0386 (0.0377) loss_contra: 0.0003 (0.0025) time: 2.6916 data: 0.0051 max mem: 31630 Epoch: [29] [ 820/5278] eta: 3:21:07 lr: 1.5445527367006166e-05 loss: 0.0388 (0.0467) loss_seg: 0.0385 (0.0463) loss_lansim: 0.0386 (0.0377) loss_contra: 0.0003 (0.0024) time: 2.6919 data: 0.0051 max mem: 31630 Epoch: [29] [ 830/5278] eta: 3:20:40 lr: 1.5443098676461314e-05 loss: 0.0392 (0.0467) loss_seg: 0.0387 (0.0463) loss_lansim: 0.0386 (0.0378) loss_contra: 0.0003 (0.0024) time: 2.6968 data: 0.0052 max mem: 31630 Epoch: [29] [ 840/5278] eta: 3:20:16 lr: 1.5440669943476506e-05 loss: 0.0397 (0.0467) loss_seg: 0.0392 (0.0463) loss_lansim: 0.0382 (0.0378) loss_contra: 0.0003 (0.0025) time: 2.7040 data: 0.0053 max mem: 31630 Epoch: [29] [ 850/5278] eta: 3:19:48 lr: 1.543824116804357e-05 loss: 0.0407 (0.0469) loss_seg: 0.0403 (0.0465) loss_lansim: 0.0383 (0.0379) loss_contra: 0.0002 (0.0025) time: 2.7054 data: 0.0053 max mem: 31630 Epoch: [29] [ 860/5278] eta: 3:19:23 lr: 1.5435812350154352e-05 loss: 0.0429 (0.0471) loss_seg: 0.0424 (0.0467) loss_lansim: 0.0388 (0.0379) loss_contra: 0.0001 (0.0025) time: 2.7118 data: 0.0053 max mem: 31630 Epoch: [29] [ 870/5278] eta: 3:18:54 lr: 1.543338348980068e-05 loss: 0.0421 (0.0470) loss_seg: 0.0418 (0.0466) loss_lansim: 0.0392 (0.0379) loss_contra: 0.0002 (0.0025) time: 2.7129 data: 0.0053 max mem: 31630 Epoch: [29] [ 880/5278] eta: 3:18:28 lr: 1.54309545869744e-05 loss: 0.0431 (0.0471) loss_seg: 0.0427 (0.0467) loss_lansim: 0.0394 (0.0380) loss_contra: 0.0002 (0.0026) time: 2.7156 data: 0.0053 max mem: 31630 Epoch: [29] [ 890/5278] eta: 3:17:59 lr: 1.542852564166732e-05 loss: 0.0431 (0.0471) loss_seg: 0.0427 (0.0467) loss_lansim: 0.0399 (0.0380) loss_contra: 0.0002 (0.0026) time: 2.7107 data: 0.0053 max mem: 31630 Epoch: [29] [ 900/5278] eta: 3:17:33 lr: 1.5426096653871282e-05 loss: 0.0429 (0.0470) loss_seg: 0.0424 (0.0466) loss_lansim: 0.0408 (0.0381) loss_contra: 0.0002 (0.0028) time: 2.7118 data: 0.0053 max mem: 31630 Epoch: [29] [ 910/5278] eta: 3:17:04 lr: 1.54236676235781e-05 loss: 0.0421 (0.0470) loss_seg: 0.0418 (0.0466) loss_lansim: 0.0409 (0.0381) loss_contra: 0.0003 (0.0027) time: 2.7094 data: 0.0054 max mem: 31630 Epoch: [29] [ 920/5278] eta: 3:16:38 lr: 1.54212385507796e-05 loss: 0.0429 (0.0471) loss_seg: 0.0425 (0.0467) loss_lansim: 0.0407 (0.0381) loss_contra: 0.0003 (0.0027) time: 2.7097 data: 0.0054 max mem: 31630 Epoch: [29] [ 930/5278] eta: 3:16:10 lr: 1.5418809435467597e-05 loss: 0.0428 (0.0470) loss_seg: 0.0424 (0.0466) loss_lansim: 0.0409 (0.0381) loss_contra: 0.0003 (0.0027) time: 2.7078 data: 0.0054 max mem: 31630 Epoch: [29] [ 940/5278] eta: 3:15:43 lr: 1.5416380277633902e-05 loss: 0.0428 (0.0470) loss_seg: 0.0424 (0.0466) loss_lansim: 0.0410 (0.0382) loss_contra: 0.0003 (0.0027) time: 2.7031 data: 0.0053 max mem: 31630 Epoch: [29] [ 950/5278] eta: 3:15:16 lr: 1.5413951077270328e-05 loss: 0.0408 (0.0470) loss_seg: 0.0404 (0.0466) loss_lansim: 0.0409 (0.0382) loss_contra: 0.0003 (0.0027) time: 2.7055 data: 0.0053 max mem: 31630 Epoch: [29] [ 960/5278] eta: 3:14:49 lr: 1.5411521834368687e-05 loss: 0.0408 (0.0470) loss_seg: 0.0404 (0.0466) loss_lansim: 0.0409 (0.0382) loss_contra: 0.0003 (0.0027) time: 2.7006 data: 0.0054 max mem: 31630 Epoch: [29] [ 970/5278] eta: 3:14:20 lr: 1.540909254892077e-05 loss: 0.0408 (0.0469) loss_seg: 0.0404 (0.0465) loss_lansim: 0.0409 (0.0383) loss_contra: 0.0003 (0.0027) time: 2.7005 data: 0.0053 max mem: 31630 Epoch: [29] [ 980/5278] eta: 3:13:52 lr: 1.5406663220918395e-05 loss: 0.0402 (0.0468) loss_seg: 0.0397 (0.0464) loss_lansim: 0.0409 (0.0383) loss_contra: 0.0003 (0.0027) time: 2.6970 data: 0.0053 max mem: 31630 Epoch: [29] [ 990/5278] eta: 3:13:25 lr: 1.540423385035335e-05 loss: 0.0394 (0.0467) loss_seg: 0.0390 (0.0463) loss_lansim: 0.0407 (0.0383) loss_contra: 0.0003 (0.0027) time: 2.7005 data: 0.0053 max mem: 31630 Epoch: [29] [1000/5278] eta: 3:12:58 lr: 1.540180443721744e-05 loss: 0.0402 (0.0467) loss_seg: 0.0397 (0.0463) loss_lansim: 0.0406 (0.0384) loss_contra: 0.0003 (0.0027) time: 2.6976 data: 0.0053 max mem: 31630 Epoch: [29] [1010/5278] eta: 3:12:32 lr: 1.539937498150245e-05 loss: 0.0408 (0.0468) loss_seg: 0.0404 (0.0464) loss_lansim: 0.0409 (0.0384) loss_contra: 0.0003 (0.0026) time: 2.7052 data: 0.0053 max mem: 31630 Epoch: [29] [1020/5278] eta: 3:12:05 lr: 1.539694548320017e-05 loss: 0.0411 (0.0468) loss_seg: 0.0408 (0.0464) loss_lansim: 0.0409 (0.0384) loss_contra: 0.0003 (0.0026) time: 2.7023 data: 0.0052 max mem: 31630 Epoch: [29] [1030/5278] eta: 3:11:39 lr: 1.5394515942302386e-05 loss: 0.0413 (0.0468) loss_seg: 0.0409 (0.0463) loss_lansim: 0.0407 (0.0385) loss_contra: 0.0002 (0.0026) time: 2.7075 data: 0.0052 max mem: 31630 Epoch: [29] [1040/5278] eta: 3:11:11 lr: 1.539208635880089e-05 loss: 0.0408 (0.0467) loss_seg: 0.0404 (0.0463) loss_lansim: 0.0406 (0.0385) loss_contra: 0.0002 (0.0026) time: 2.7048 data: 0.0052 max mem: 31630 Epoch: [29] [1050/5278] eta: 3:10:45 lr: 1.538965673268746e-05 loss: 0.0420 (0.0468) loss_seg: 0.0416 (0.0463) loss_lansim: 0.0407 (0.0385) loss_contra: 0.0002 (0.0026) time: 2.7065 data: 0.0052 max mem: 31630 Epoch: [29] [1060/5278] eta: 3:10:18 lr: 1.538722706395386e-05 loss: 0.0419 (0.0470) loss_seg: 0.0414 (0.0466) loss_lansim: 0.0405 (0.0385) loss_contra: 0.0001 (0.0025) time: 2.7068 data: 0.0052 max mem: 31630 Epoch: [29] [1070/5278] eta: 3:09:51 lr: 1.5384797352591878e-05 loss: 0.0419 (0.0470) loss_seg: 0.0414 (0.0466) loss_lansim: 0.0405 (0.0385) loss_contra: 0.0002 (0.0025) time: 2.7103 data: 0.0052 max mem: 31630 Epoch: [29] [1080/5278] eta: 3:09:24 lr: 1.5382367598593285e-05 loss: 0.0420 (0.0470) loss_seg: 0.0416 (0.0466) loss_lansim: 0.0407 (0.0386) loss_contra: 0.0001 (0.0025) time: 2.7116 data: 0.0052 max mem: 31630 Epoch: [29] [1090/5278] eta: 3:08:58 lr: 1.5379937801949852e-05 loss: 0.0428 (0.0469) loss_seg: 0.0423 (0.0465) loss_lansim: 0.0407 (0.0386) loss_contra: 0.0001 (0.0025) time: 2.7144 data: 0.0053 max mem: 31630 Epoch: [29] [1100/5278] eta: 3:08:30 lr: 1.5377507962653333e-05 loss: 0.0427 (0.0469) loss_seg: 0.0423 (0.0465) loss_lansim: 0.0407 (0.0386) loss_contra: 0.0001 (0.0026) time: 2.7131 data: 0.0053 max mem: 31630 Epoch: [29] [1110/5278] eta: 3:08:04 lr: 1.5375078080695495e-05 loss: 0.0420 (0.0469) loss_seg: 0.0414 (0.0465) loss_lansim: 0.0407 (0.0387) loss_contra: 0.0001 (0.0026) time: 2.7125 data: 0.0053 max mem: 31630 Epoch: [29] [1120/5278] eta: 3:07:37 lr: 1.53726481560681e-05 loss: 0.0406 (0.0468) loss_seg: 0.0403 (0.0464) loss_lansim: 0.0403 (0.0387) loss_contra: 0.0001 (0.0025) time: 2.7154 data: 0.0053 max mem: 31630 Epoch: [29] [1130/5278] eta: 3:07:11 lr: 1.5370218188762912e-05 loss: 0.0434 (0.0469) loss_seg: 0.0430 (0.0465) loss_lansim: 0.0402 (0.0387) loss_contra: 0.0002 (0.0026) time: 2.7149 data: 0.0053 max mem: 31630 Epoch: [29] [1140/5278] eta: 3:06:44 lr: 1.5367788178771666e-05 loss: 0.0434 (0.0468) loss_seg: 0.0430 (0.0464) loss_lansim: 0.0394 (0.0387) loss_contra: 0.0002 (0.0026) time: 2.7156 data: 0.0053 max mem: 31630 Epoch: [29] [1150/5278] eta: 3:06:17 lr: 1.5365358126086125e-05 loss: 0.0422 (0.0468) loss_seg: 0.0413 (0.0464) loss_lansim: 0.0389 (0.0387) loss_contra: 0.0002 (0.0026) time: 2.7132 data: 0.0053 max mem: 31630 Epoch: [29] [1160/5278] eta: 3:05:49 lr: 1.5362928030698034e-05 loss: 0.0424 (0.0468) loss_seg: 0.0418 (0.0464) loss_lansim: 0.0394 (0.0387) loss_contra: 0.0003 (0.0026) time: 2.7116 data: 0.0053 max mem: 31630 Epoch: [29] [1170/5278] eta: 3:05:22 lr: 1.536049789259914e-05 loss: 0.0422 (0.0468) loss_seg: 0.0413 (0.0463) loss_lansim: 0.0393 (0.0387) loss_contra: 0.0003 (0.0025) time: 2.7111 data: 0.0053 max mem: 31630 Epoch: [29] [1180/5278] eta: 3:04:54 lr: 1.5358067711781177e-05 loss: 0.0432 (0.0468) loss_seg: 0.0428 (0.0464) loss_lansim: 0.0385 (0.0387) loss_contra: 0.0003 (0.0025) time: 2.7088 data: 0.0053 max mem: 31630 Epoch: [29] [1190/5278] eta: 3:04:26 lr: 1.5355637488235886e-05 loss: 0.0425 (0.0468) loss_seg: 0.0422 (0.0464) loss_lansim: 0.0383 (0.0387) loss_contra: 0.0003 (0.0025) time: 2.7058 data: 0.0053 max mem: 31630 Epoch: [29] [1200/5278] eta: 3:03:58 lr: 1.5353207221955002e-05 loss: 0.0432 (0.0467) loss_seg: 0.0428 (0.0463) loss_lansim: 0.0380 (0.0386) loss_contra: 0.0003 (0.0025) time: 2.7050 data: 0.0053 max mem: 31630 Epoch: [29] [1210/5278] eta: 3:03:31 lr: 1.535077691293026e-05 loss: 0.0432 (0.0467) loss_seg: 0.0428 (0.0463) loss_lansim: 0.0377 (0.0386) loss_contra: 0.0003 (0.0025) time: 2.7012 data: 0.0053 max mem: 31630 Epoch: [29] [1220/5278] eta: 3:03:04 lr: 1.5348346561153387e-05 loss: 0.0432 (0.0467) loss_seg: 0.0428 (0.0462) loss_lansim: 0.0378 (0.0386) loss_contra: 0.0004 (0.0025) time: 2.6999 data: 0.0053 max mem: 31630 Epoch: [29] [1230/5278] eta: 3:02:37 lr: 1.5345916166616106e-05 loss: 0.0416 (0.0467) loss_seg: 0.0413 (0.0463) loss_lansim: 0.0378 (0.0386) loss_contra: 0.0003 (0.0025) time: 2.6961 data: 0.0053 max mem: 31630 Epoch: [29] [1240/5278] eta: 3:02:10 lr: 1.5343485729310142e-05 loss: 0.0432 (0.0468) loss_seg: 0.0428 (0.0464) loss_lansim: 0.0378 (0.0386) loss_contra: 0.0003 (0.0026) time: 2.6986 data: 0.0054 max mem: 31630 Epoch: [29] [1250/5278] eta: 3:01:44 lr: 1.5341055249227222e-05 loss: 0.0423 (0.0467) loss_seg: 0.0419 (0.0463) loss_lansim: 0.0378 (0.0386) loss_contra: 0.0003 (0.0025) time: 2.7017 data: 0.0054 max mem: 31630 Epoch: [29] [1260/5278] eta: 3:01:16 lr: 1.5338624726359048e-05 loss: 0.0419 (0.0467) loss_seg: 0.0415 (0.0463) loss_lansim: 0.0377 (0.0386) loss_contra: 0.0003 (0.0025) time: 2.7007 data: 0.0054 max mem: 31630 Epoch: [29] [1270/5278] eta: 3:00:49 lr: 1.5336194160697343e-05 loss: 0.0438 (0.0467) loss_seg: 0.0434 (0.0463) loss_lansim: 0.0378 (0.0386) loss_contra: 0.0003 (0.0026) time: 2.7022 data: 0.0054 max mem: 31630 Epoch: [29] [1280/5278] eta: 3:00:22 lr: 1.5333763552233814e-05 loss: 0.0419 (0.0466) loss_seg: 0.0415 (0.0462) loss_lansim: 0.0378 (0.0386) loss_contra: 0.0003 (0.0026) time: 2.7034 data: 0.0054 max mem: 31630 Epoch: [29] [1290/5278] eta: 2:59:54 lr: 1.533133290096017e-05 loss: 0.0422 (0.0466) loss_seg: 0.0418 (0.0462) loss_lansim: 0.0384 (0.0386) loss_contra: 0.0003 (0.0026) time: 2.7025 data: 0.0054 max mem: 31630 Epoch: [29] [1300/5278] eta: 2:59:27 lr: 1.5328902206868126e-05 loss: 0.0422 (0.0467) loss_seg: 0.0418 (0.0462) loss_lansim: 0.0384 (0.0386) loss_contra: 0.0003 (0.0026) time: 2.7048 data: 0.0053 max mem: 31630 Epoch: [29] [1310/5278] eta: 2:59:01 lr: 1.5326471469949363e-05 loss: 0.0422 (0.0466) loss_seg: 0.0417 (0.0462) loss_lansim: 0.0386 (0.0386) loss_contra: 0.0002 (0.0026) time: 2.7081 data: 0.0053 max mem: 31630 Epoch: [29] [1320/5278] eta: 2:58:34 lr: 1.532404069019559e-05 loss: 0.0422 (0.0466) loss_seg: 0.0418 (0.0462) loss_lansim: 0.0391 (0.0387) loss_contra: 0.0002 (0.0026) time: 2.7074 data: 0.0053 max mem: 31630 Epoch: [29] [1330/5278] eta: 2:58:06 lr: 1.53216098675985e-05 loss: 0.0422 (0.0466) loss_seg: 0.0417 (0.0462) loss_lansim: 0.0390 (0.0387) loss_contra: 0.0002 (0.0026) time: 2.7074 data: 0.0054 max mem: 31630 Epoch: [29] [1340/5278] eta: 2:57:39 lr: 1.5319179002149797e-05 loss: 0.0406 (0.0466) loss_seg: 0.0402 (0.0462) loss_lansim: 0.0391 (0.0387) loss_contra: 0.0003 (0.0025) time: 2.7075 data: 0.0054 max mem: 31630 Epoch: [29] [1350/5278] eta: 2:57:11 lr: 1.531674809384115e-05 loss: 0.0418 (0.0465) loss_seg: 0.0414 (0.0461) loss_lansim: 0.0394 (0.0387) loss_contra: 0.0003 (0.0025) time: 2.7003 data: 0.0054 max mem: 31630 Epoch: [29] [1360/5278] eta: 2:56:45 lr: 1.5314317142664258e-05 loss: 0.0422 (0.0465) loss_seg: 0.0417 (0.0461) loss_lansim: 0.0394 (0.0387) loss_contra: 0.0003 (0.0026) time: 2.7051 data: 0.0054 max mem: 31630 Epoch: [29] [1370/5278] eta: 2:56:17 lr: 1.53118861486108e-05 loss: 0.0418 (0.0465) loss_seg: 0.0414 (0.0461) loss_lansim: 0.0392 (0.0387) loss_contra: 0.0003 (0.0025) time: 2.7002 data: 0.0054 max mem: 31630 Epoch: [29] [1380/5278] eta: 2:55:50 lr: 1.530945511167246e-05 loss: 0.0422 (0.0465) loss_seg: 0.0417 (0.0461) loss_lansim: 0.0388 (0.0386) loss_contra: 0.0003 (0.0025) time: 2.7046 data: 0.0054 max mem: 31630 Epoch: [29] [1390/5278] eta: 2:55:22 lr: 1.5307024031840907e-05 loss: 0.0423 (0.0465) loss_seg: 0.0418 (0.0461) loss_lansim: 0.0387 (0.0386) loss_contra: 0.0003 (0.0025) time: 2.7026 data: 0.0054 max mem: 31630 Epoch: [29] [1400/5278] eta: 2:54:57 lr: 1.530459290910782e-05 loss: 0.0420 (0.0465) loss_seg: 0.0417 (0.0461) loss_lansim: 0.0388 (0.0386) loss_contra: 0.0003 (0.0025) time: 2.7080 data: 0.0054 max mem: 31630 Epoch: [29] [1410/5278] eta: 2:54:29 lr: 1.5302161743464864e-05 loss: 0.0418 (0.0465) loss_seg: 0.0414 (0.0461) loss_lansim: 0.0388 (0.0387) loss_contra: 0.0003 (0.0025) time: 2.7047 data: 0.0054 max mem: 31630 Epoch: [29] [1420/5278] eta: 2:54:03 lr: 1.529973053490372e-05 loss: 0.0421 (0.0465) loss_seg: 0.0417 (0.0461) loss_lansim: 0.0376 (0.0386) loss_contra: 0.0003 (0.0025) time: 2.7065 data: 0.0054 max mem: 31630 Epoch: [29] [1430/5278] eta: 2:53:36 lr: 1.5297299283416036e-05 loss: 0.0423 (0.0465) loss_seg: 0.0418 (0.0461) loss_lansim: 0.0375 (0.0386) loss_contra: 0.0003 (0.0025) time: 2.7077 data: 0.0053 max mem: 31630 Epoch: [29] [1440/5278] eta: 2:53:09 lr: 1.5294867988993482e-05 loss: 0.0423 (0.0465) loss_seg: 0.0418 (0.0461) loss_lansim: 0.0375 (0.0386) loss_contra: 0.0003 (0.0025) time: 2.7077 data: 0.0053 max mem: 31630 Epoch: [29] [1450/5278] eta: 2:52:41 lr: 1.5292436651627713e-05 loss: 0.0426 (0.0465) loss_seg: 0.0422 (0.0461) loss_lansim: 0.0374 (0.0386) loss_contra: 0.0003 (0.0025) time: 2.7080 data: 0.0053 max mem: 31630 Epoch: [29] [1460/5278] eta: 2:52:14 lr: 1.529000527131039e-05 loss: 0.0426 (0.0465) loss_seg: 0.0422 (0.0461) loss_lansim: 0.0372 (0.0386) loss_contra: 0.0003 (0.0026) time: 2.7065 data: 0.0053 max mem: 31630 Epoch: [29] [1470/5278] eta: 2:51:47 lr: 1.5287573848033156e-05 loss: 0.0430 (0.0465) loss_seg: 0.0425 (0.0461) loss_lansim: 0.0372 (0.0386) loss_contra: 0.0003 (0.0026) time: 2.7096 data: 0.0053 max mem: 31630 Epoch: [29] [1480/5278] eta: 2:51:19 lr: 1.528514238178767e-05 loss: 0.0430 (0.0465) loss_seg: 0.0425 (0.0461) loss_lansim: 0.0372 (0.0386) loss_contra: 0.0003 (0.0026) time: 2.7060 data: 0.0053 max mem: 31630 Epoch: [29] [1490/5278] eta: 2:50:52 lr: 1.5282710872565565e-05 loss: 0.0425 (0.0464) loss_seg: 0.0421 (0.0460) loss_lansim: 0.0372 (0.0386) loss_contra: 0.0003 (0.0026) time: 2.7086 data: 0.0053 max mem: 31630 Epoch: [29] [1500/5278] eta: 2:50:25 lr: 1.5280279320358505e-05 loss: 0.0415 (0.0464) loss_seg: 0.0412 (0.0460) loss_lansim: 0.0370 (0.0386) loss_contra: 0.0003 (0.0026) time: 2.7033 data: 0.0053 max mem: 31630 Epoch: [29] [1510/5278] eta: 2:49:58 lr: 1.5277847725158103e-05 loss: 0.0429 (0.0463) loss_seg: 0.0425 (0.0459) loss_lansim: 0.0372 (0.0386) loss_contra: 0.0003 (0.0026) time: 2.7034 data: 0.0053 max mem: 31630 Epoch: [29] [1520/5278] eta: 2:49:31 lr: 1.5275416086956013e-05 loss: 0.0423 (0.0463) loss_seg: 0.0416 (0.0459) loss_lansim: 0.0374 (0.0386) loss_contra: 0.0002 (0.0026) time: 2.7037 data: 0.0053 max mem: 31630 Epoch: [29] [1530/5278] eta: 2:49:04 lr: 1.527298440574386e-05 loss: 0.0410 (0.0463) loss_seg: 0.0406 (0.0459) loss_lansim: 0.0376 (0.0386) loss_contra: 0.0002 (0.0026) time: 2.7023 data: 0.0053 max mem: 31630 Epoch: [29] [1540/5278] eta: 2:48:36 lr: 1.527055268151328e-05 loss: 0.0405 (0.0463) loss_seg: 0.0401 (0.0459) loss_lansim: 0.0376 (0.0386) loss_contra: 0.0002 (0.0025) time: 2.6992 data: 0.0053 max mem: 31630 Epoch: [29] [1550/5278] eta: 2:48:09 lr: 1.5268120914255903e-05 loss: 0.0404 (0.0463) loss_seg: 0.0400 (0.0459) loss_lansim: 0.0374 (0.0386) loss_contra: 0.0003 (0.0025) time: 2.7010 data: 0.0052 max mem: 31630 Epoch: [29] [1560/5278] eta: 2:47:43 lr: 1.5265689103963342e-05 loss: 0.0395 (0.0463) loss_seg: 0.0391 (0.0459) loss_lansim: 0.0376 (0.0386) loss_contra: 0.0003 (0.0025) time: 2.7046 data: 0.0052 max mem: 31630 Epoch: [29] [1570/5278] eta: 2:47:15 lr: 1.5263257250627226e-05 loss: 0.0388 (0.0463) loss_seg: 0.0383 (0.0459) loss_lansim: 0.0377 (0.0386) loss_contra: 0.0003 (0.0025) time: 2.7018 data: 0.0053 max mem: 31630 Epoch: [29] [1580/5278] eta: 2:46:47 lr: 1.5260825354239173e-05 loss: 0.0388 (0.0463) loss_seg: 0.0383 (0.0459) loss_lansim: 0.0381 (0.0386) loss_contra: 0.0003 (0.0025) time: 2.7010 data: 0.0053 max mem: 31630 Epoch: [29] [1590/5278] eta: 2:46:20 lr: 1.5258393414790798e-05 loss: 0.0401 (0.0463) loss_seg: 0.0397 (0.0459) loss_lansim: 0.0380 (0.0386) loss_contra: 0.0003 (0.0025) time: 2.7003 data: 0.0053 max mem: 31630 Epoch: [29] [1600/5278] eta: 2:45:52 lr: 1.5255961432273704e-05 loss: 0.0404 (0.0462) loss_seg: 0.0400 (0.0458) loss_lansim: 0.0384 (0.0386) loss_contra: 0.0003 (0.0025) time: 2.6966 data: 0.0053 max mem: 31630 Epoch: [29] [1610/5278] eta: 2:45:25 lr: 1.525352940667951e-05 loss: 0.0420 (0.0463) loss_seg: 0.0415 (0.0459) loss_lansim: 0.0391 (0.0386) loss_contra: 0.0003 (0.0025) time: 2.6970 data: 0.0053 max mem: 31630 Epoch: [29] [1620/5278] eta: 2:44:57 lr: 1.5251097337999814e-05 loss: 0.0424 (0.0463) loss_seg: 0.0420 (0.0459) loss_lansim: 0.0387 (0.0386) loss_contra: 0.0003 (0.0025) time: 2.6911 data: 0.0053 max mem: 31630 Epoch: [29] [1630/5278] eta: 2:44:30 lr: 1.5248665226226228e-05 loss: 0.0432 (0.0463) loss_seg: 0.0429 (0.0459) loss_lansim: 0.0390 (0.0386) loss_contra: 0.0003 (0.0025) time: 2.6925 data: 0.0053 max mem: 31630 Epoch: [29] [1640/5278] eta: 2:44:03 lr: 1.5246233071350339e-05 loss: 0.0437 (0.0464) loss_seg: 0.0433 (0.0460) loss_lansim: 0.0390 (0.0386) loss_contra: 0.0002 (0.0026) time: 2.6925 data: 0.0053 max mem: 31630 Epoch: [29] [1650/5278] eta: 2:43:35 lr: 1.5243800873363747e-05 loss: 0.0437 (0.0464) loss_seg: 0.0433 (0.0460) loss_lansim: 0.0382 (0.0386) loss_contra: 0.0002 (0.0026) time: 2.6911 data: 0.0053 max mem: 31630 Epoch: [29] [1660/5278] eta: 2:43:08 lr: 1.5241368632258049e-05 loss: 0.0443 (0.0465) loss_seg: 0.0439 (0.0461) loss_lansim: 0.0384 (0.0386) loss_contra: 0.0002 (0.0026) time: 2.6861 data: 0.0053 max mem: 31630 Epoch: [29] [1670/5278] eta: 2:42:40 lr: 1.5238936348024834e-05 loss: 0.0451 (0.0465) loss_seg: 0.0447 (0.0461) loss_lansim: 0.0384 (0.0386) loss_contra: 0.0002 (0.0026) time: 2.6869 data: 0.0052 max mem: 31630 Epoch: [29] [1680/5278] eta: 2:42:13 lr: 1.5236504020655684e-05 loss: 0.0450 (0.0465) loss_seg: 0.0445 (0.0461) loss_lansim: 0.0390 (0.0386) loss_contra: 0.0002 (0.0025) time: 2.6884 data: 0.0052 max mem: 31630 Epoch: [29] [1690/5278] eta: 2:41:46 lr: 1.5234071650142188e-05 loss: 0.0455 (0.0465) loss_seg: 0.0451 (0.0461) loss_lansim: 0.0393 (0.0387) loss_contra: 0.0003 (0.0027) time: 2.6877 data: 0.0053 max mem: 31630 Epoch: [29] [1700/5278] eta: 2:41:19 lr: 1.5231639236475917e-05 loss: 0.0455 (0.0465) loss_seg: 0.0451 (0.0461) loss_lansim: 0.0392 (0.0387) loss_contra: 0.0002 (0.0027) time: 2.6917 data: 0.0054 max mem: 31630 Epoch: [29] [1710/5278] eta: 2:40:51 lr: 1.5229206779648464e-05 loss: 0.0462 (0.0465) loss_seg: 0.0458 (0.0461) loss_lansim: 0.0392 (0.0387) loss_contra: 0.0003 (0.0027) time: 2.6900 data: 0.0055 max mem: 31630 Epoch: [29] [1720/5278] eta: 2:40:24 lr: 1.5226774279651387e-05 loss: 0.0451 (0.0465) loss_seg: 0.0447 (0.0461) loss_lansim: 0.0393 (0.0387) loss_contra: 0.0004 (0.0027) time: 2.6947 data: 0.0055 max mem: 31630 Epoch: [29] [1730/5278] eta: 2:39:56 lr: 1.5224341736476267e-05 loss: 0.0444 (0.0465) loss_seg: 0.0440 (0.0461) loss_lansim: 0.0396 (0.0387) loss_contra: 0.0005 (0.0027) time: 2.6910 data: 0.0056 max mem: 31630 Epoch: [29] [1740/5278] eta: 2:39:29 lr: 1.5221909150114664e-05 loss: 0.0435 (0.0466) loss_seg: 0.0431 (0.0462) loss_lansim: 0.0398 (0.0387) loss_contra: 0.0005 (0.0026) time: 2.6924 data: 0.0057 max mem: 31630 Epoch: [29] [1750/5278] eta: 2:39:02 lr: 1.5219476520558153e-05 loss: 0.0432 (0.0466) loss_seg: 0.0428 (0.0462) loss_lansim: 0.0396 (0.0387) loss_contra: 0.0006 (0.0026) time: 2.6939 data: 0.0058 max mem: 31630 Epoch: [29] [1760/5278] eta: 2:38:35 lr: 1.5217043847798285e-05 loss: 0.0425 (0.0466) loss_seg: 0.0421 (0.0462) loss_lansim: 0.0398 (0.0387) loss_contra: 0.0006 (0.0027) time: 2.6956 data: 0.0058 max mem: 31630 Epoch: [29] [1770/5278] eta: 2:38:08 lr: 1.5214611131826623e-05 loss: 0.0425 (0.0466) loss_seg: 0.0421 (0.0462) loss_lansim: 0.0398 (0.0387) loss_contra: 0.0006 (0.0026) time: 2.6959 data: 0.0059 max mem: 31630 Epoch: [29] [1780/5278] eta: 2:37:41 lr: 1.5212178372634723e-05 loss: 0.0425 (0.0465) loss_seg: 0.0421 (0.0461) loss_lansim: 0.0396 (0.0387) loss_contra: 0.0006 (0.0026) time: 2.6992 data: 0.0059 max mem: 31630 Epoch: [29] [1790/5278] eta: 2:37:14 lr: 1.5209745570214134e-05 loss: 0.0420 (0.0465) loss_seg: 0.0416 (0.0461) loss_lansim: 0.0392 (0.0387) loss_contra: 0.0006 (0.0026) time: 2.7022 data: 0.0058 max mem: 31630 Epoch: [29] [1800/5278] eta: 2:36:47 lr: 1.5207312724556413e-05 loss: 0.0432 (0.0465) loss_seg: 0.0428 (0.0461) loss_lansim: 0.0394 (0.0387) loss_contra: 0.0006 (0.0026) time: 2.7011 data: 0.0058 max mem: 31630 Epoch: [29] [1810/5278] eta: 2:36:20 lr: 1.5204879835653093e-05 loss: 0.0422 (0.0465) loss_seg: 0.0418 (0.0461) loss_lansim: 0.0392 (0.0387) loss_contra: 0.0005 (0.0026) time: 2.7025 data: 0.0058 max mem: 31630 Epoch: [29] [1820/5278] eta: 2:35:53 lr: 1.5202446903495726e-05 loss: 0.0424 (0.0465) loss_seg: 0.0420 (0.0461) loss_lansim: 0.0392 (0.0387) loss_contra: 0.0004 (0.0026) time: 2.6995 data: 0.0058 max mem: 31630 Epoch: [29] [1830/5278] eta: 2:35:26 lr: 1.5200013928075846e-05 loss: 0.0422 (0.0465) loss_seg: 0.0418 (0.0461) loss_lansim: 0.0389 (0.0387) loss_contra: 0.0004 (0.0026) time: 2.7043 data: 0.0058 max mem: 31630 Epoch: [29] [1840/5278] eta: 2:34:59 lr: 1.5197580909384998e-05 loss: 0.0422 (0.0465) loss_seg: 0.0418 (0.0461) loss_lansim: 0.0384 (0.0387) loss_contra: 0.0004 (0.0026) time: 2.7036 data: 0.0058 max mem: 31630 Epoch: [29] [1850/5278] eta: 2:34:32 lr: 1.5195147847414703e-05 loss: 0.0433 (0.0466) loss_seg: 0.0429 (0.0461) loss_lansim: 0.0385 (0.0387) loss_contra: 0.0002 (0.0026) time: 2.7084 data: 0.0058 max mem: 31630 Epoch: [29] [1860/5278] eta: 2:34:05 lr: 1.5192714742156497e-05 loss: 0.0420 (0.0466) loss_seg: 0.0416 (0.0461) loss_lansim: 0.0389 (0.0388) loss_contra: 0.0002 (0.0026) time: 2.7051 data: 0.0057 max mem: 31630 Epoch: [29] [1870/5278] eta: 2:33:37 lr: 1.5190281593601906e-05 loss: 0.0432 (0.0466) loss_seg: 0.0428 (0.0462) loss_lansim: 0.0392 (0.0388) loss_contra: 0.0002 (0.0026) time: 2.7055 data: 0.0056 max mem: 31630 Epoch: [29] [1880/5278] eta: 2:33:10 lr: 1.518784840174246e-05 loss: 0.0438 (0.0467) loss_seg: 0.0434 (0.0462) loss_lansim: 0.0393 (0.0388) loss_contra: 0.0003 (0.0026) time: 2.7010 data: 0.0056 max mem: 31630 Epoch: [29] [1890/5278] eta: 2:32:43 lr: 1.5185415166569669e-05 loss: 0.0447 (0.0467) loss_seg: 0.0443 (0.0462) loss_lansim: 0.0395 (0.0388) loss_contra: 0.0002 (0.0026) time: 2.7002 data: 0.0056 max mem: 31630 Epoch: [29] [1900/5278] eta: 2:32:16 lr: 1.5182981888075054e-05 loss: 0.0437 (0.0467) loss_seg: 0.0431 (0.0462) loss_lansim: 0.0386 (0.0388) loss_contra: 0.0002 (0.0026) time: 2.7008 data: 0.0055 max mem: 31630 Epoch: [29] [1910/5278] eta: 2:31:49 lr: 1.518054856625013e-05 loss: 0.0438 (0.0466) loss_seg: 0.0433 (0.0462) loss_lansim: 0.0386 (0.0388) loss_contra: 0.0002 (0.0026) time: 2.7000 data: 0.0055 max mem: 31630 Epoch: [29] [1920/5278] eta: 2:31:22 lr: 1.5178115201086412e-05 loss: 0.0432 (0.0466) loss_seg: 0.0429 (0.0462) loss_lansim: 0.0386 (0.0388) loss_contra: 0.0002 (0.0025) time: 2.7012 data: 0.0054 max mem: 31630 Epoch: [29] [1930/5278] eta: 2:30:54 lr: 1.5175681792575399e-05 loss: 0.0437 (0.0466) loss_seg: 0.0431 (0.0462) loss_lansim: 0.0386 (0.0388) loss_contra: 0.0002 (0.0025) time: 2.6950 data: 0.0054 max mem: 31630 Epoch: [29] [1940/5278] eta: 2:30:27 lr: 1.5173248340708602e-05 loss: 0.0437 (0.0467) loss_seg: 0.0431 (0.0463) loss_lansim: 0.0386 (0.0388) loss_contra: 0.0001 (0.0025) time: 2.6963 data: 0.0053 max mem: 31630 Epoch: [29] [1950/5278] eta: 2:30:00 lr: 1.5170814845477516e-05 loss: 0.0432 (0.0467) loss_seg: 0.0429 (0.0463) loss_lansim: 0.0385 (0.0387) loss_contra: 0.0002 (0.0025) time: 2.6936 data: 0.0052 max mem: 31630 Epoch: [29] [1960/5278] eta: 2:29:32 lr: 1.5168381306873652e-05 loss: 0.0441 (0.0467) loss_seg: 0.0437 (0.0463) loss_lansim: 0.0378 (0.0387) loss_contra: 0.0002 (0.0025) time: 2.6942 data: 0.0053 max mem: 31630 Epoch: [29] [1970/5278] eta: 2:29:06 lr: 1.516594772488849e-05 loss: 0.0449 (0.0467) loss_seg: 0.0445 (0.0463) loss_lansim: 0.0373 (0.0387) loss_contra: 0.0002 (0.0025) time: 2.6968 data: 0.0053 max mem: 31630 Epoch: [29] [1980/5278] eta: 2:28:38 lr: 1.5163514099513528e-05 loss: 0.0449 (0.0467) loss_seg: 0.0445 (0.0463) loss_lansim: 0.0370 (0.0387) loss_contra: 0.0001 (0.0025) time: 2.6941 data: 0.0053 max mem: 31630 Epoch: [29] [1990/5278] eta: 2:28:11 lr: 1.5161080430740255e-05 loss: 0.0445 (0.0467) loss_seg: 0.0441 (0.0463) loss_lansim: 0.0370 (0.0387) loss_contra: 0.0001 (0.0025) time: 2.6933 data: 0.0053 max mem: 31630 Epoch: [29] [2000/5278] eta: 2:27:43 lr: 1.5158646718560157e-05 loss: 0.0449 (0.0467) loss_seg: 0.0445 (0.0463) loss_lansim: 0.0366 (0.0387) loss_contra: 0.0001 (0.0025) time: 2.6917 data: 0.0054 max mem: 31630 Epoch: [29] [2010/5278] eta: 2:27:16 lr: 1.5156212962964722e-05 loss: 0.0464 (0.0467) loss_seg: 0.0460 (0.0463) loss_lansim: 0.0366 (0.0387) loss_contra: 0.0002 (0.0025) time: 2.6909 data: 0.0054 max mem: 31630 Epoch: [29] [2020/5278] eta: 2:26:49 lr: 1.5153779163945417e-05 loss: 0.0464 (0.0467) loss_seg: 0.0460 (0.0463) loss_lansim: 0.0362 (0.0387) loss_contra: 0.0002 (0.0025) time: 2.6933 data: 0.0054 max mem: 31630 Epoch: [29] [2030/5278] eta: 2:26:21 lr: 1.515134532149372e-05 loss: 0.0464 (0.0467) loss_seg: 0.0460 (0.0463) loss_lansim: 0.0362 (0.0387) loss_contra: 0.0002 (0.0025) time: 2.6928 data: 0.0054 max mem: 31630 Epoch: [29] [2040/5278] eta: 2:25:54 lr: 1.5148911435601113e-05 loss: 0.0459 (0.0467) loss_seg: 0.0454 (0.0463) loss_lansim: 0.0361 (0.0387) loss_contra: 0.0002 (0.0025) time: 2.6912 data: 0.0054 max mem: 31630 Epoch: [29] [2050/5278] eta: 2:25:27 lr: 1.514647750625906e-05 loss: 0.0461 (0.0467) loss_seg: 0.0457 (0.0463) loss_lansim: 0.0362 (0.0386) loss_contra: 0.0002 (0.0025) time: 2.6912 data: 0.0054 max mem: 31630 Epoch: [29] [2060/5278] eta: 2:25:00 lr: 1.5144043533459026e-05 loss: 0.0445 (0.0467) loss_seg: 0.0441 (0.0463) loss_lansim: 0.0361 (0.0386) loss_contra: 0.0002 (0.0025) time: 2.6927 data: 0.0054 max mem: 31630 Epoch: [29] [2070/5278] eta: 2:24:33 lr: 1.5141609517192474e-05 loss: 0.0437 (0.0467) loss_seg: 0.0433 (0.0463) loss_lansim: 0.0362 (0.0386) loss_contra: 0.0001 (0.0025) time: 2.6907 data: 0.0054 max mem: 31630 Epoch: [29] [2080/5278] eta: 2:24:06 lr: 1.5139175457450864e-05 loss: 0.0437 (0.0466) loss_seg: 0.0433 (0.0462) loss_lansim: 0.0365 (0.0386) loss_contra: 0.0002 (0.0025) time: 2.6923 data: 0.0054 max mem: 31630 Epoch: [29] [2090/5278] eta: 2:23:39 lr: 1.5136741354225659e-05 loss: 0.0437 (0.0466) loss_seg: 0.0433 (0.0462) loss_lansim: 0.0364 (0.0386) loss_contra: 0.0002 (0.0024) time: 2.6936 data: 0.0053 max mem: 31630 Epoch: [29] [2100/5278] eta: 2:23:12 lr: 1.5134307207508299e-05 loss: 0.0428 (0.0466) loss_seg: 0.0424 (0.0462) loss_lansim: 0.0366 (0.0386) loss_contra: 0.0002 (0.0024) time: 2.6955 data: 0.0053 max mem: 31630 Epoch: [29] [2110/5278] eta: 2:22:44 lr: 1.5131873017290246e-05 loss: 0.0418 (0.0467) loss_seg: 0.0414 (0.0463) loss_lansim: 0.0365 (0.0386) loss_contra: 0.0002 (0.0024) time: 2.6941 data: 0.0054 max mem: 31630 Epoch: [29] [2120/5278] eta: 2:22:17 lr: 1.5129438783562944e-05 loss: 0.0415 (0.0467) loss_seg: 0.0410 (0.0462) loss_lansim: 0.0369 (0.0386) loss_contra: 0.0002 (0.0024) time: 2.6932 data: 0.0055 max mem: 31630 Epoch: [29] [2130/5278] eta: 2:21:50 lr: 1.5127004506317837e-05 loss: 0.0406 (0.0466) loss_seg: 0.0402 (0.0462) loss_lansim: 0.0368 (0.0386) loss_contra: 0.0001 (0.0024) time: 2.6954 data: 0.0055 max mem: 31630 Epoch: [29] [2140/5278] eta: 2:21:23 lr: 1.5124570185546364e-05 loss: 0.0405 (0.0466) loss_seg: 0.0401 (0.0462) loss_lansim: 0.0368 (0.0386) loss_contra: 0.0001 (0.0024) time: 2.6964 data: 0.0055 max mem: 31630 Epoch: [29] [2150/5278] eta: 2:20:55 lr: 1.5122135821239963e-05 loss: 0.0405 (0.0466) loss_seg: 0.0401 (0.0462) loss_lansim: 0.0368 (0.0386) loss_contra: 0.0002 (0.0024) time: 2.6933 data: 0.0056 max mem: 31630 Epoch: [29] [2160/5278] eta: 2:20:28 lr: 1.5119701413390067e-05 loss: 0.0406 (0.0466) loss_seg: 0.0402 (0.0462) loss_lansim: 0.0368 (0.0386) loss_contra: 0.0002 (0.0024) time: 2.6906 data: 0.0056 max mem: 31630 Epoch: [29] [2170/5278] eta: 2:20:00 lr: 1.5117266961988114e-05 loss: 0.0418 (0.0466) loss_seg: 0.0414 (0.0462) loss_lansim: 0.0362 (0.0385) loss_contra: 0.0002 (0.0024) time: 2.6885 data: 0.0056 max mem: 31630 Epoch: [29] [2180/5278] eta: 2:19:33 lr: 1.5114832467025523e-05 loss: 0.0423 (0.0466) loss_seg: 0.0419 (0.0462) loss_lansim: 0.0358 (0.0385) loss_contra: 0.0002 (0.0024) time: 2.6878 data: 0.0057 max mem: 31630 Epoch: [29] [2190/5278] eta: 2:19:06 lr: 1.5112397928493718e-05 loss: 0.0419 (0.0466) loss_seg: 0.0414 (0.0462) loss_lansim: 0.0357 (0.0385) loss_contra: 0.0002 (0.0025) time: 2.6888 data: 0.0057 max mem: 31630 Epoch: [29] [2200/5278] eta: 2:18:39 lr: 1.5109963346384127e-05 loss: 0.0414 (0.0466) loss_seg: 0.0410 (0.0462) loss_lansim: 0.0362 (0.0385) loss_contra: 0.0002 (0.0025) time: 2.6885 data: 0.0057 max mem: 31630 Epoch: [29] [2210/5278] eta: 2:18:12 lr: 1.5107528720688168e-05 loss: 0.0410 (0.0466) loss_seg: 0.0406 (0.0462) loss_lansim: 0.0362 (0.0385) loss_contra: 0.0002 (0.0025) time: 2.6910 data: 0.0056 max mem: 31630 Epoch: [29] [2220/5278] eta: 2:17:45 lr: 1.510509405139725e-05 loss: 0.0414 (0.0466) loss_seg: 0.0410 (0.0462) loss_lansim: 0.0362 (0.0385) loss_contra: 0.0002 (0.0025) time: 2.6913 data: 0.0056 max mem: 31630 Epoch: [29] [2230/5278] eta: 2:17:18 lr: 1.5102659338502787e-05 loss: 0.0421 (0.0466) loss_seg: 0.0417 (0.0462) loss_lansim: 0.0367 (0.0385) loss_contra: 0.0002 (0.0025) time: 2.6939 data: 0.0056 max mem: 31630 Epoch: [29] [2240/5278] eta: 2:16:52 lr: 1.510022458199619e-05 loss: 0.0423 (0.0466) loss_seg: 0.0417 (0.0462) loss_lansim: 0.0369 (0.0385) loss_contra: 0.0002 (0.0025) time: 2.6974 data: 0.0057 max mem: 31630 Epoch: [29] [2250/5278] eta: 2:16:24 lr: 1.5097789781868857e-05 loss: 0.0421 (0.0466) loss_seg: 0.0417 (0.0462) loss_lansim: 0.0367 (0.0385) loss_contra: 0.0002 (0.0025) time: 2.6959 data: 0.0057 max mem: 31630 Epoch: [29] [2260/5278] eta: 2:15:57 lr: 1.5095354938112205e-05 loss: 0.0421 (0.0466) loss_seg: 0.0417 (0.0462) loss_lansim: 0.0369 (0.0385) loss_contra: 0.0002 (0.0025) time: 2.6991 data: 0.0057 max mem: 31630 Epoch: [29] [2270/5278] eta: 2:15:30 lr: 1.5092920050717616e-05 loss: 0.0421 (0.0466) loss_seg: 0.0417 (0.0462) loss_lansim: 0.0372 (0.0385) loss_contra: 0.0002 (0.0025) time: 2.7017 data: 0.0058 max mem: 31630 Epoch: [29] [2280/5278] eta: 2:15:03 lr: 1.5090485119676492e-05 loss: 0.0410 (0.0466) loss_seg: 0.0406 (0.0462) loss_lansim: 0.0370 (0.0385) loss_contra: 0.0002 (0.0025) time: 2.7044 data: 0.0058 max mem: 31630 Epoch: [29] [2290/5278] eta: 2:14:36 lr: 1.5088050144980226e-05 loss: 0.0409 (0.0466) loss_seg: 0.0405 (0.0462) loss_lansim: 0.0370 (0.0385) loss_contra: 0.0002 (0.0025) time: 2.7019 data: 0.0057 max mem: 31630 Epoch: [29] [2300/5278] eta: 2:14:08 lr: 1.5085615126620212e-05 loss: 0.0416 (0.0466) loss_seg: 0.0407 (0.0462) loss_lansim: 0.0370 (0.0385) loss_contra: 0.0002 (0.0025) time: 2.6989 data: 0.0057 max mem: 31630 Epoch: [29] [2310/5278] eta: 2:13:42 lr: 1.5083180064587824e-05 loss: 0.0419 (0.0466) loss_seg: 0.0415 (0.0462) loss_lansim: 0.0366 (0.0385) loss_contra: 0.0002 (0.0025) time: 2.7039 data: 0.0057 max mem: 31630 Epoch: [29] [2320/5278] eta: 2:13:15 lr: 1.508074495887445e-05 loss: 0.0419 (0.0466) loss_seg: 0.0415 (0.0462) loss_lansim: 0.0365 (0.0385) loss_contra: 0.0002 (0.0025) time: 2.7014 data: 0.0056 max mem: 31630 Epoch: [29] [2330/5278] eta: 2:12:48 lr: 1.5078309809471472e-05 loss: 0.0416 (0.0466) loss_seg: 0.0412 (0.0462) loss_lansim: 0.0362 (0.0384) loss_contra: 0.0002 (0.0025) time: 2.7051 data: 0.0055 max mem: 31630 Epoch: [29] [2340/5278] eta: 2:12:21 lr: 1.507587461637027e-05 loss: 0.0419 (0.0466) loss_seg: 0.0415 (0.0462) loss_lansim: 0.0355 (0.0384) loss_contra: 0.0002 (0.0025) time: 2.7002 data: 0.0054 max mem: 31630 Epoch: [29] [2350/5278] eta: 2:11:54 lr: 1.5073439379562205e-05 loss: 0.0431 (0.0466) loss_seg: 0.0427 (0.0462) loss_lansim: 0.0356 (0.0384) loss_contra: 0.0002 (0.0025) time: 2.7048 data: 0.0054 max mem: 31630 Epoch: [29] [2360/5278] eta: 2:11:27 lr: 1.507100409903865e-05 loss: 0.0418 (0.0466) loss_seg: 0.0414 (0.0462) loss_lansim: 0.0352 (0.0384) loss_contra: 0.0002 (0.0025) time: 2.7054 data: 0.0053 max mem: 31630 Epoch: [29] [2370/5278] eta: 2:11:00 lr: 1.5068568774790975e-05 loss: 0.0417 (0.0467) loss_seg: 0.0414 (0.0463) loss_lansim: 0.0352 (0.0384) loss_contra: 0.0002 (0.0025) time: 2.7037 data: 0.0052 max mem: 31630 Epoch: [29] [2380/5278] eta: 2:10:33 lr: 1.5066133406810546e-05 loss: 0.0432 (0.0467) loss_seg: 0.0428 (0.0463) loss_lansim: 0.0352 (0.0384) loss_contra: 0.0002 (0.0025) time: 2.7070 data: 0.0051 max mem: 31630 Epoch: [29] [2390/5278] eta: 2:10:06 lr: 1.5063697995088712e-05 loss: 0.0445 (0.0467) loss_seg: 0.0441 (0.0463) loss_lansim: 0.0352 (0.0384) loss_contra: 0.0002 (0.0025) time: 2.7050 data: 0.0051 max mem: 31630 Epoch: [29] [2400/5278] eta: 2:09:39 lr: 1.5061262539616839e-05 loss: 0.0436 (0.0467) loss_seg: 0.0432 (0.0463) loss_lansim: 0.0350 (0.0384) loss_contra: 0.0002 (0.0025) time: 2.7083 data: 0.0052 max mem: 31630 Epoch: [29] [2410/5278] eta: 2:09:12 lr: 1.5058827040386273e-05 loss: 0.0441 (0.0467) loss_seg: 0.0437 (0.0463) loss_lansim: 0.0351 (0.0383) loss_contra: 0.0002 (0.0025) time: 2.7024 data: 0.0053 max mem: 31630 Epoch: [29] [2420/5278] eta: 2:08:45 lr: 1.5056391497388376e-05 loss: 0.0441 (0.0468) loss_seg: 0.0437 (0.0464) loss_lansim: 0.0343 (0.0383) loss_contra: 0.0002 (0.0025) time: 2.7098 data: 0.0053 max mem: 31630 Epoch: [29] [2430/5278] eta: 2:08:18 lr: 1.5053955910614478e-05 loss: 0.0445 (0.0468) loss_seg: 0.0441 (0.0464) loss_lansim: 0.0341 (0.0383) loss_contra: 0.0002 (0.0025) time: 2.7045 data: 0.0054 max mem: 31630 Epoch: [29] [2440/5278] eta: 2:07:52 lr: 1.5051520280055934e-05 loss: 0.0452 (0.0468) loss_seg: 0.0448 (0.0464) loss_lansim: 0.0345 (0.0383) loss_contra: 0.0003 (0.0025) time: 2.7126 data: 0.0055 max mem: 31630 Epoch: [29] [2450/5278] eta: 2:07:25 lr: 1.5049084605704078e-05 loss: 0.0450 (0.0468) loss_seg: 0.0446 (0.0464) loss_lansim: 0.0346 (0.0383) loss_contra: 0.0003 (0.0025) time: 2.7123 data: 0.0055 max mem: 31630 Epoch: [29] [2460/5278] eta: 2:06:58 lr: 1.5046648887550257e-05 loss: 0.0452 (0.0468) loss_seg: 0.0448 (0.0464) loss_lansim: 0.0339 (0.0382) loss_contra: 0.0003 (0.0025) time: 2.7154 data: 0.0056 max mem: 31630 Epoch: [29] [2470/5278] eta: 2:06:31 lr: 1.504421312558579e-05 loss: 0.0450 (0.0468) loss_seg: 0.0446 (0.0464) loss_lansim: 0.0333 (0.0382) loss_contra: 0.0003 (0.0024) time: 2.7142 data: 0.0056 max mem: 31630 Epoch: [29] [2480/5278] eta: 2:06:04 lr: 1.5041777319802017e-05 loss: 0.0452 (0.0468) loss_seg: 0.0448 (0.0464) loss_lansim: 0.0333 (0.0382) loss_contra: 0.0002 (0.0024) time: 2.7149 data: 0.0057 max mem: 31630 Epoch: [29] [2490/5278] eta: 2:05:37 lr: 1.5039341470190263e-05 loss: 0.0446 (0.0468) loss_seg: 0.0443 (0.0464) loss_lansim: 0.0332 (0.0382) loss_contra: 0.0003 (0.0024) time: 2.7166 data: 0.0058 max mem: 31630 Epoch: [29] [2500/5278] eta: 2:05:10 lr: 1.5036905576741849e-05 loss: 0.0465 (0.0468) loss_seg: 0.0462 (0.0464) loss_lansim: 0.0333 (0.0382) loss_contra: 0.0002 (0.0024) time: 2.7166 data: 0.0057 max mem: 31630 Epoch: [29] [2510/5278] eta: 2:04:43 lr: 1.5034469639448106e-05 loss: 0.0449 (0.0468) loss_seg: 0.0446 (0.0464) loss_lansim: 0.0334 (0.0382) loss_contra: 0.0003 (0.0024) time: 2.7181 data: 0.0057 max mem: 31630 Epoch: [29] [2520/5278] eta: 2:04:16 lr: 1.5032033658300337e-05 loss: 0.0448 (0.0468) loss_seg: 0.0443 (0.0464) loss_lansim: 0.0336 (0.0381) loss_contra: 0.0003 (0.0024) time: 2.7109 data: 0.0058 max mem: 31630 Epoch: [29] [2530/5278] eta: 2:03:49 lr: 1.5029597633289863e-05 loss: 0.0448 (0.0468) loss_seg: 0.0443 (0.0464) loss_lansim: 0.0340 (0.0381) loss_contra: 0.0003 (0.0024) time: 2.7146 data: 0.0057 max mem: 31630 Epoch: [29] [2540/5278] eta: 2:03:22 lr: 1.5027161564407993e-05 loss: 0.0446 (0.0468) loss_seg: 0.0443 (0.0464) loss_lansim: 0.0339 (0.0381) loss_contra: 0.0002 (0.0024) time: 2.7051 data: 0.0057 max mem: 31630 Epoch: [29] [2550/5278] eta: 2:02:54 lr: 1.502472545164604e-05 loss: 0.0448 (0.0469) loss_seg: 0.0443 (0.0464) loss_lansim: 0.0335 (0.0381) loss_contra: 0.0002 (0.0024) time: 2.7046 data: 0.0056 max mem: 31630 Epoch: [29] [2560/5278] eta: 2:02:27 lr: 1.5022289294995299e-05 loss: 0.0446 (0.0469) loss_seg: 0.0443 (0.0465) loss_lansim: 0.0335 (0.0381) loss_contra: 0.0002 (0.0024) time: 2.7006 data: 0.0056 max mem: 31630 Epoch: [29] [2570/5278] eta: 2:02:00 lr: 1.5019853094447075e-05 loss: 0.0449 (0.0469) loss_seg: 0.0447 (0.0465) loss_lansim: 0.0335 (0.0380) loss_contra: 0.0002 (0.0024) time: 2.7040 data: 0.0056 max mem: 31630 Epoch: [29] [2580/5278] eta: 2:01:33 lr: 1.5017416849992663e-05 loss: 0.0429 (0.0468) loss_seg: 0.0426 (0.0464) loss_lansim: 0.0337 (0.0380) loss_contra: 0.0002 (0.0024) time: 2.6996 data: 0.0056 max mem: 31630 Epoch: [29] [2590/5278] eta: 2:01:06 lr: 1.5014980561623367e-05 loss: 0.0429 (0.0468) loss_seg: 0.0426 (0.0464) loss_lansim: 0.0336 (0.0380) loss_contra: 0.0002 (0.0024) time: 2.6987 data: 0.0055 max mem: 31630 Epoch: [29] [2600/5278] eta: 2:00:39 lr: 1.5012544229330467e-05 loss: 0.0413 (0.0468) loss_seg: 0.0411 (0.0464) loss_lansim: 0.0332 (0.0380) loss_contra: 0.0002 (0.0024) time: 2.6983 data: 0.0055 max mem: 31630 Epoch: [29] [2610/5278] eta: 2:00:12 lr: 1.5010107853105252e-05 loss: 0.0429 (0.0468) loss_seg: 0.0426 (0.0464) loss_lansim: 0.0327 (0.0380) loss_contra: 0.0002 (0.0024) time: 2.6985 data: 0.0055 max mem: 31630 Epoch: [29] [2620/5278] eta: 1:59:45 lr: 1.5007671432939008e-05 loss: 0.0432 (0.0469) loss_seg: 0.0429 (0.0465) loss_lansim: 0.0324 (0.0379) loss_contra: 0.0002 (0.0024) time: 2.7011 data: 0.0054 max mem: 31630 Epoch: [29] [2630/5278] eta: 1:59:18 lr: 1.5005234968823024e-05 loss: 0.0431 (0.0468) loss_seg: 0.0427 (0.0464) loss_lansim: 0.0323 (0.0379) loss_contra: 0.0002 (0.0024) time: 2.6990 data: 0.0054 max mem: 31630 Epoch: [29] [2640/5278] eta: 1:58:52 lr: 1.5002798460748563e-05 loss: 0.0429 (0.0468) loss_seg: 0.0426 (0.0464) loss_lansim: 0.0324 (0.0379) loss_contra: 0.0002 (0.0024) time: 2.7066 data: 0.0054 max mem: 31630 Epoch: [29] [2650/5278] eta: 1:58:24 lr: 1.5000361908706908e-05 loss: 0.0430 (0.0468) loss_seg: 0.0427 (0.0464) loss_lansim: 0.0324 (0.0379) loss_contra: 0.0002 (0.0024) time: 2.7040 data: 0.0054 max mem: 31630 Epoch: [29] [2660/5278] eta: 1:57:58 lr: 1.4997925312689327e-05 loss: 0.0429 (0.0468) loss_seg: 0.0426 (0.0464) loss_lansim: 0.0324 (0.0379) loss_contra: 0.0002 (0.0024) time: 2.7090 data: 0.0054 max mem: 31630 Epoch: [29] [2670/5278] eta: 1:57:31 lr: 1.4995488672687095e-05 loss: 0.0430 (0.0468) loss_seg: 0.0427 (0.0464) loss_lansim: 0.0327 (0.0379) loss_contra: 0.0002 (0.0024) time: 2.7084 data: 0.0054 max mem: 31630 Epoch: [29] [2680/5278] eta: 1:57:04 lr: 1.4993051988691467e-05 loss: 0.0440 (0.0468) loss_seg: 0.0436 (0.0464) loss_lansim: 0.0322 (0.0378) loss_contra: 0.0002 (0.0024) time: 2.7100 data: 0.0053 max mem: 31630 Epoch: [29] [2690/5278] eta: 1:56:36 lr: 1.4990615260693705e-05 loss: 0.0445 (0.0468) loss_seg: 0.0441 (0.0464) loss_lansim: 0.0322 (0.0378) loss_contra: 0.0001 (0.0024) time: 2.7106 data: 0.0053 max mem: 31630 Epoch: [29] [2700/5278] eta: 1:56:09 lr: 1.4988178488685072e-05 loss: 0.0445 (0.0468) loss_seg: 0.0441 (0.0464) loss_lansim: 0.0322 (0.0378) loss_contra: 0.0001 (0.0024) time: 2.7101 data: 0.0053 max mem: 31630 Epoch: [29] [2710/5278] eta: 1:55:42 lr: 1.4985741672656826e-05 loss: 0.0440 (0.0468) loss_seg: 0.0436 (0.0464) loss_lansim: 0.0321 (0.0378) loss_contra: 0.0001 (0.0023) time: 2.7097 data: 0.0053 max mem: 31630 Epoch: [29] [2720/5278] eta: 1:55:16 lr: 1.4983304812600204e-05 loss: 0.0432 (0.0468) loss_seg: 0.0429 (0.0464) loss_lansim: 0.0323 (0.0377) loss_contra: 0.0001 (0.0023) time: 2.7132 data: 0.0053 max mem: 31630 Epoch: [29] [2730/5278] eta: 1:54:48 lr: 1.4980867908506466e-05 loss: 0.0445 (0.0468) loss_seg: 0.0441 (0.0464) loss_lansim: 0.0323 (0.0377) loss_contra: 0.0001 (0.0023) time: 2.7101 data: 0.0053 max mem: 31630 Epoch: [29] [2740/5278] eta: 1:54:21 lr: 1.4978430960366851e-05 loss: 0.0452 (0.0468) loss_seg: 0.0449 (0.0464) loss_lansim: 0.0322 (0.0377) loss_contra: 0.0001 (0.0023) time: 2.7059 data: 0.0052 max mem: 31630 Epoch: [29] [2750/5278] eta: 1:53:54 lr: 1.4975993968172602e-05 loss: 0.0450 (0.0468) loss_seg: 0.0447 (0.0464) loss_lansim: 0.0321 (0.0377) loss_contra: 0.0001 (0.0023) time: 2.7056 data: 0.0052 max mem: 31630 Epoch: [29] [2760/5278] eta: 1:53:27 lr: 1.4973556931914964e-05 loss: 0.0459 (0.0469) loss_seg: 0.0456 (0.0465) loss_lansim: 0.0322 (0.0377) loss_contra: 0.0001 (0.0023) time: 2.7049 data: 0.0052 max mem: 31630 Epoch: [29] [2770/5278] eta: 1:53:00 lr: 1.4971119851585162e-05 loss: 0.0459 (0.0468) loss_seg: 0.0456 (0.0464) loss_lansim: 0.0320 (0.0376) loss_contra: 0.0001 (0.0023) time: 2.7035 data: 0.0052 max mem: 31630 Epoch: [29] [2780/5278] eta: 1:52:34 lr: 1.4968682727174424e-05 loss: 0.0456 (0.0468) loss_seg: 0.0452 (0.0464) loss_lansim: 0.0323 (0.0376) loss_contra: 0.0001 (0.0023) time: 2.7069 data: 0.0052 max mem: 31630 Epoch: [29] [2790/5278] eta: 1:52:06 lr: 1.4966245558673986e-05 loss: 0.0454 (0.0468) loss_seg: 0.0450 (0.0464) loss_lansim: 0.0321 (0.0376) loss_contra: 0.0001 (0.0023) time: 2.7053 data: 0.0051 max mem: 31630 Epoch: [29] [2800/5278] eta: 1:51:40 lr: 1.4963808346075076e-05 loss: 0.0454 (0.0468) loss_seg: 0.0450 (0.0464) loss_lansim: 0.0323 (0.0376) loss_contra: 0.0001 (0.0023) time: 2.7105 data: 0.0051 max mem: 31630 Epoch: [29] [2810/5278] eta: 1:51:12 lr: 1.4961371089368902e-05 loss: 0.0454 (0.0468) loss_seg: 0.0450 (0.0464) loss_lansim: 0.0323 (0.0376) loss_contra: 0.0001 (0.0023) time: 2.7070 data: 0.0051 max mem: 31630 Epoch: [29] [2820/5278] eta: 1:50:46 lr: 1.4958933788546695e-05 loss: 0.0427 (0.0468) loss_seg: 0.0424 (0.0464) loss_lansim: 0.0320 (0.0375) loss_contra: 0.0001 (0.0023) time: 2.7063 data: 0.0051 max mem: 31630 Epoch: [29] [2830/5278] eta: 1:50:18 lr: 1.4956496443599661e-05 loss: 0.0422 (0.0468) loss_seg: 0.0419 (0.0464) loss_lansim: 0.0319 (0.0375) loss_contra: 0.0001 (0.0023) time: 2.7057 data: 0.0051 max mem: 31630 Epoch: [29] [2840/5278] eta: 1:49:52 lr: 1.4954059054519017e-05 loss: 0.0416 (0.0467) loss_seg: 0.0412 (0.0463) loss_lansim: 0.0318 (0.0375) loss_contra: 0.0001 (0.0023) time: 2.7096 data: 0.0051 max mem: 31630 Epoch: [29] [2850/5278] eta: 1:49:24 lr: 1.4951621621295967e-05 loss: 0.0409 (0.0467) loss_seg: 0.0404 (0.0463) loss_lansim: 0.0319 (0.0375) loss_contra: 0.0001 (0.0023) time: 2.7110 data: 0.0051 max mem: 31630 Epoch: [29] [2860/5278] eta: 1:48:58 lr: 1.4949184143921713e-05 loss: 0.0402 (0.0467) loss_seg: 0.0399 (0.0463) loss_lansim: 0.0313 (0.0375) loss_contra: 0.0001 (0.0023) time: 2.7096 data: 0.0052 max mem: 31630 Epoch: [29] [2870/5278] eta: 1:48:30 lr: 1.4946746622387461e-05 loss: 0.0416 (0.0467) loss_seg: 0.0412 (0.0463) loss_lansim: 0.0317 (0.0374) loss_contra: 0.0001 (0.0023) time: 2.7107 data: 0.0052 max mem: 31630 Epoch: [29] [2880/5278] eta: 1:48:04 lr: 1.4944309056684417e-05 loss: 0.0422 (0.0468) loss_seg: 0.0418 (0.0464) loss_lansim: 0.0312 (0.0374) loss_contra: 0.0002 (0.0023) time: 2.7076 data: 0.0052 max mem: 31630 Epoch: [29] [2890/5278] eta: 1:47:36 lr: 1.4941871446803756e-05 loss: 0.0422 (0.0468) loss_seg: 0.0418 (0.0464) loss_lansim: 0.0313 (0.0374) loss_contra: 0.0002 (0.0023) time: 2.7089 data: 0.0052 max mem: 31630 Epoch: [29] [2900/5278] eta: 1:47:09 lr: 1.4939433792736682e-05 loss: 0.0421 (0.0468) loss_seg: 0.0418 (0.0464) loss_lansim: 0.0310 (0.0374) loss_contra: 0.0002 (0.0022) time: 2.7048 data: 0.0052 max mem: 31630 Epoch: [29] [2910/5278] eta: 1:46:42 lr: 1.4936996094474379e-05 loss: 0.0420 (0.0468) loss_seg: 0.0417 (0.0464) loss_lansim: 0.0310 (0.0374) loss_contra: 0.0002 (0.0023) time: 2.7092 data: 0.0052 max mem: 31630 Epoch: [29] [2920/5278] eta: 1:46:15 lr: 1.4934558352008037e-05 loss: 0.0421 (0.0468) loss_seg: 0.0418 (0.0464) loss_lansim: 0.0310 (0.0373) loss_contra: 0.0002 (0.0023) time: 2.7068 data: 0.0052 max mem: 31630 Epoch: [29] [2930/5278] eta: 1:45:48 lr: 1.493212056532883e-05 loss: 0.0431 (0.0468) loss_seg: 0.0428 (0.0464) loss_lansim: 0.0312 (0.0373) loss_contra: 0.0002 (0.0023) time: 2.7111 data: 0.0052 max mem: 31630 Epoch: [29] [2940/5278] eta: 1:45:21 lr: 1.4929682734427938e-05 loss: 0.0437 (0.0468) loss_seg: 0.0434 (0.0464) loss_lansim: 0.0311 (0.0373) loss_contra: 0.0003 (0.0023) time: 2.7054 data: 0.0052 max mem: 31630 Epoch: [29] [2950/5278] eta: 1:44:54 lr: 1.4927244859296535e-05 loss: 0.0456 (0.0469) loss_seg: 0.0453 (0.0465) loss_lansim: 0.0311 (0.0373) loss_contra: 0.0003 (0.0023) time: 2.7066 data: 0.0052 max mem: 31630 Epoch: [29] [2960/5278] eta: 1:44:27 lr: 1.4924806939925798e-05 loss: 0.0460 (0.0469) loss_seg: 0.0457 (0.0465) loss_lansim: 0.0311 (0.0373) loss_contra: 0.0003 (0.0023) time: 2.7083 data: 0.0052 max mem: 31630 Epoch: [29] [2970/5278] eta: 1:44:00 lr: 1.4922368976306886e-05 loss: 0.0435 (0.0469) loss_seg: 0.0431 (0.0465) loss_lansim: 0.0311 (0.0372) loss_contra: 0.0002 (0.0023) time: 2.7052 data: 0.0052 max mem: 31630 Epoch: [29] [2980/5278] eta: 1:43:33 lr: 1.4919930968430964e-05 loss: 0.0435 (0.0469) loss_seg: 0.0431 (0.0465) loss_lansim: 0.0311 (0.0372) loss_contra: 0.0003 (0.0023) time: 2.7039 data: 0.0052 max mem: 31630 Epoch: [29] [2990/5278] eta: 1:43:06 lr: 1.4917492916289197e-05 loss: 0.0435 (0.0469) loss_seg: 0.0431 (0.0465) loss_lansim: 0.0310 (0.0372) loss_contra: 0.0003 (0.0023) time: 2.7059 data: 0.0052 max mem: 31630 Epoch: [29] [3000/5278] eta: 1:42:39 lr: 1.4915054819872739e-05 loss: 0.0432 (0.0468) loss_seg: 0.0428 (0.0464) loss_lansim: 0.0313 (0.0372) loss_contra: 0.0003 (0.0023) time: 2.7100 data: 0.0052 max mem: 31630 Epoch: [29] [3010/5278] eta: 1:42:12 lr: 1.4912616679172756e-05 loss: 0.0463 (0.0469) loss_seg: 0.0460 (0.0465) loss_lansim: 0.0313 (0.0372) loss_contra: 0.0003 (0.0023) time: 2.7077 data: 0.0053 max mem: 31630 Epoch: [29] [3020/5278] eta: 1:41:45 lr: 1.491017849418038e-05 loss: 0.0439 (0.0468) loss_seg: 0.0436 (0.0464) loss_lansim: 0.0306 (0.0371) loss_contra: 0.0004 (0.0023) time: 2.7064 data: 0.0053 max mem: 31630 Epoch: [29] [3030/5278] eta: 1:41:18 lr: 1.4907740264886768e-05 loss: 0.0463 (0.0469) loss_seg: 0.0460 (0.0465) loss_lansim: 0.0305 (0.0371) loss_contra: 0.0003 (0.0023) time: 2.7046 data: 0.0053 max mem: 31630 Epoch: [29] [3040/5278] eta: 1:40:51 lr: 1.4905301991283065e-05 loss: 0.0463 (0.0469) loss_seg: 0.0460 (0.0465) loss_lansim: 0.0304 (0.0371) loss_contra: 0.0003 (0.0023) time: 2.7093 data: 0.0053 max mem: 31630 Epoch: [29] [3050/5278] eta: 1:40:24 lr: 1.4902863673360415e-05 loss: 0.0439 (0.0469) loss_seg: 0.0436 (0.0465) loss_lansim: 0.0301 (0.0371) loss_contra: 0.0003 (0.0023) time: 2.7104 data: 0.0053 max mem: 31630 Epoch: [29] [3060/5278] eta: 1:39:57 lr: 1.4900425311109944e-05 loss: 0.0446 (0.0469) loss_seg: 0.0442 (0.0465) loss_lansim: 0.0300 (0.0370) loss_contra: 0.0003 (0.0023) time: 2.7097 data: 0.0053 max mem: 31630 Epoch: [29] [3070/5278] eta: 1:39:30 lr: 1.4897986904522793e-05 loss: 0.0467 (0.0470) loss_seg: 0.0463 (0.0466) loss_lansim: 0.0299 (0.0370) loss_contra: 0.0003 (0.0023) time: 2.7125 data: 0.0053 max mem: 31630 Epoch: [29] [3080/5278] eta: 1:39:04 lr: 1.4895548453590092e-05 loss: 0.0467 (0.0470) loss_seg: 0.0463 (0.0466) loss_lansim: 0.0295 (0.0370) loss_contra: 0.0003 (0.0023) time: 2.7178 data: 0.0054 max mem: 31630 Epoch: [29] [3090/5278] eta: 1:38:37 lr: 1.4893109958302972e-05 loss: 0.0467 (0.0470) loss_seg: 0.0463 (0.0466) loss_lansim: 0.0294 (0.0370) loss_contra: 0.0003 (0.0023) time: 2.7151 data: 0.0054 max mem: 31630 Epoch: [29] [3100/5278] eta: 1:38:10 lr: 1.4890671418652546e-05 loss: 0.0486 (0.0471) loss_seg: 0.0483 (0.0467) loss_lansim: 0.0294 (0.0369) loss_contra: 0.0003 (0.0023) time: 2.7132 data: 0.0053 max mem: 31630 Epoch: [29] [3110/5278] eta: 1:37:42 lr: 1.4888232834629946e-05 loss: 0.0487 (0.0471) loss_seg: 0.0484 (0.0467) loss_lansim: 0.0294 (0.0369) loss_contra: 0.0002 (0.0023) time: 2.7130 data: 0.0053 max mem: 31630 Epoch: [29] [3120/5278] eta: 1:37:16 lr: 1.4885794206226277e-05 loss: 0.0509 (0.0471) loss_seg: 0.0505 (0.0467) loss_lansim: 0.0294 (0.0369) loss_contra: 0.0002 (0.0023) time: 2.7149 data: 0.0052 max mem: 31630 Epoch: [29] [3130/5278] eta: 1:36:48 lr: 1.4883355533432669e-05 loss: 0.0515 (0.0471) loss_seg: 0.0511 (0.0467) loss_lansim: 0.0296 (0.0369) loss_contra: 0.0003 (0.0023) time: 2.7156 data: 0.0052 max mem: 31630 Epoch: [29] [3140/5278] eta: 1:36:22 lr: 1.4880916816240217e-05 loss: 0.0510 (0.0471) loss_seg: 0.0507 (0.0467) loss_lansim: 0.0297 (0.0369) loss_contra: 0.0003 (0.0023) time: 2.7177 data: 0.0052 max mem: 31630 Epoch: [29] [3150/5278] eta: 1:35:55 lr: 1.4878478054640032e-05 loss: 0.0512 (0.0472) loss_seg: 0.0510 (0.0468) loss_lansim: 0.0298 (0.0369) loss_contra: 0.0003 (0.0023) time: 2.7143 data: 0.0052 max mem: 31630 Epoch: [29] [3160/5278] eta: 1:35:28 lr: 1.487603924862322e-05 loss: 0.0510 (0.0472) loss_seg: 0.0507 (0.0468) loss_lansim: 0.0299 (0.0368) loss_contra: 0.0003 (0.0023) time: 2.7114 data: 0.0052 max mem: 31630 Epoch: [29] [3170/5278] eta: 1:35:00 lr: 1.487360039818088e-05 loss: 0.0507 (0.0472) loss_seg: 0.0504 (0.0468) loss_lansim: 0.0299 (0.0368) loss_contra: 0.0003 (0.0023) time: 2.7114 data: 0.0052 max mem: 31630 Epoch: [29] [3180/5278] eta: 1:34:33 lr: 1.4871161503304107e-05 loss: 0.0475 (0.0472) loss_seg: 0.0472 (0.0468) loss_lansim: 0.0301 (0.0368) loss_contra: 0.0003 (0.0022) time: 2.7061 data: 0.0051 max mem: 31630 Epoch: [29] [3190/5278] eta: 1:34:06 lr: 1.4868722563983995e-05 loss: 0.0475 (0.0472) loss_seg: 0.0472 (0.0468) loss_lansim: 0.0303 (0.0368) loss_contra: 0.0003 (0.0022) time: 2.7083 data: 0.0051 max mem: 31630 Epoch: [29] [3200/5278] eta: 1:33:39 lr: 1.4866283580211632e-05 loss: 0.0473 (0.0472) loss_seg: 0.0470 (0.0468) loss_lansim: 0.0304 (0.0368) loss_contra: 0.0003 (0.0022) time: 2.7039 data: 0.0051 max mem: 31630 Epoch: [29] [3210/5278] eta: 1:33:12 lr: 1.4863844551978112e-05 loss: 0.0455 (0.0472) loss_seg: 0.0452 (0.0468) loss_lansim: 0.0306 (0.0367) loss_contra: 0.0003 (0.0022) time: 2.7074 data: 0.0051 max mem: 31630 Epoch: [29] [3220/5278] eta: 1:32:45 lr: 1.4861405479274506e-05 loss: 0.0449 (0.0472) loss_seg: 0.0445 (0.0468) loss_lansim: 0.0306 (0.0367) loss_contra: 0.0003 (0.0022) time: 2.7043 data: 0.0051 max mem: 31630 Epoch: [29] [3230/5278] eta: 1:32:18 lr: 1.48589663620919e-05 loss: 0.0437 (0.0472) loss_seg: 0.0433 (0.0468) loss_lansim: 0.0306 (0.0367) loss_contra: 0.0003 (0.0022) time: 2.7061 data: 0.0051 max mem: 31630 Epoch: [29] [3240/5278] eta: 1:31:51 lr: 1.485652720042137e-05 loss: 0.0437 (0.0472) loss_seg: 0.0433 (0.0468) loss_lansim: 0.0306 (0.0367) loss_contra: 0.0003 (0.0022) time: 2.7011 data: 0.0051 max mem: 31630 Epoch: [29] [3250/5278] eta: 1:31:24 lr: 1.4854087994253987e-05 loss: 0.0435 (0.0472) loss_seg: 0.0433 (0.0468) loss_lansim: 0.0306 (0.0367) loss_contra: 0.0003 (0.0022) time: 2.7056 data: 0.0051 max mem: 31630 Epoch: [29] [3260/5278] eta: 1:30:57 lr: 1.4851648743580829e-05 loss: 0.0429 (0.0472) loss_seg: 0.0426 (0.0468) loss_lansim: 0.0304 (0.0367) loss_contra: 0.0003 (0.0023) time: 2.7054 data: 0.0051 max mem: 31630 Epoch: [29] [3270/5278] eta: 1:30:30 lr: 1.4849209448392945e-05 loss: 0.0429 (0.0472) loss_seg: 0.0426 (0.0468) loss_lansim: 0.0304 (0.0366) loss_contra: 0.0003 (0.0024) time: 2.7056 data: 0.0051 max mem: 31630 Epoch: [29] [3280/5278] eta: 1:30:03 lr: 1.484677010868141e-05 loss: 0.0431 (0.0472) loss_seg: 0.0427 (0.0468) loss_lansim: 0.0304 (0.0366) loss_contra: 0.0003 (0.0024) time: 2.7070 data: 0.0052 max mem: 31630 Epoch: [29] [3290/5278] eta: 1:29:36 lr: 1.4844330724437278e-05 loss: 0.0427 (0.0472) loss_seg: 0.0423 (0.0468) loss_lansim: 0.0306 (0.0366) loss_contra: 0.0004 (0.0024) time: 2.7089 data: 0.0051 max mem: 31630 Epoch: [29] [3300/5278] eta: 1:29:09 lr: 1.4841891295651608e-05 loss: 0.0422 (0.0472) loss_seg: 0.0419 (0.0468) loss_lansim: 0.0306 (0.0366) loss_contra: 0.0005 (0.0024) time: 2.7121 data: 0.0052 max mem: 31630 Epoch: [29] [3310/5278] eta: 1:28:42 lr: 1.4839451822315449e-05 loss: 0.0427 (0.0472) loss_seg: 0.0423 (0.0468) loss_lansim: 0.0303 (0.0366) loss_contra: 0.0005 (0.0024) time: 2.7108 data: 0.0051 max mem: 31630 Epoch: [29] [3320/5278] eta: 1:28:15 lr: 1.4837012304419848e-05 loss: 0.0427 (0.0471) loss_seg: 0.0423 (0.0468) loss_lansim: 0.0303 (0.0366) loss_contra: 0.0005 (0.0024) time: 2.7148 data: 0.0051 max mem: 31630 Epoch: [29] [3330/5278] eta: 1:27:48 lr: 1.4834572741955854e-05 loss: 0.0427 (0.0472) loss_seg: 0.0424 (0.0468) loss_lansim: 0.0303 (0.0365) loss_contra: 0.0005 (0.0024) time: 2.7139 data: 0.0051 max mem: 31630 Epoch: [29] [3340/5278] eta: 1:27:21 lr: 1.4832133134914513e-05 loss: 0.0427 (0.0472) loss_seg: 0.0424 (0.0468) loss_lansim: 0.0305 (0.0365) loss_contra: 0.0004 (0.0024) time: 2.7118 data: 0.0051 max mem: 31630 Epoch: [29] [3350/5278] eta: 1:26:54 lr: 1.4829693483286853e-05 loss: 0.0418 (0.0471) loss_seg: 0.0414 (0.0467) loss_lansim: 0.0307 (0.0365) loss_contra: 0.0004 (0.0024) time: 2.7114 data: 0.0051 max mem: 31630 Epoch: [29] [3360/5278] eta: 1:26:27 lr: 1.4827253787063913e-05 loss: 0.0414 (0.0471) loss_seg: 0.0411 (0.0467) loss_lansim: 0.0309 (0.0365) loss_contra: 0.0004 (0.0024) time: 2.7112 data: 0.0051 max mem: 31630 Epoch: [29] [3370/5278] eta: 1:26:00 lr: 1.4824814046236724e-05 loss: 0.0404 (0.0471) loss_seg: 0.0401 (0.0467) loss_lansim: 0.0308 (0.0365) loss_contra: 0.0004 (0.0024) time: 2.7140 data: 0.0051 max mem: 31630 Epoch: [29] [3380/5278] eta: 1:25:33 lr: 1.4822374260796323e-05 loss: 0.0422 (0.0471) loss_seg: 0.0419 (0.0467) loss_lansim: 0.0308 (0.0365) loss_contra: 0.0004 (0.0024) time: 2.7125 data: 0.0052 max mem: 31630 Epoch: [29] [3390/5278] eta: 1:25:06 lr: 1.481993443073372e-05 loss: 0.0429 (0.0471) loss_seg: 0.0426 (0.0467) loss_lansim: 0.0306 (0.0364) loss_contra: 0.0004 (0.0024) time: 2.7129 data: 0.0052 max mem: 31630 Epoch: [29] [3400/5278] eta: 1:24:39 lr: 1.4817494556039944e-05 loss: 0.0429 (0.0471) loss_seg: 0.0426 (0.0467) loss_lansim: 0.0308 (0.0364) loss_contra: 0.0004 (0.0024) time: 2.7086 data: 0.0052 max mem: 31630 Epoch: [29] [3410/5278] eta: 1:24:12 lr: 1.481505463670601e-05 loss: 0.0427 (0.0472) loss_seg: 0.0421 (0.0468) loss_lansim: 0.0308 (0.0364) loss_contra: 0.0004 (0.0024) time: 2.7087 data: 0.0052 max mem: 31630 Epoch: [29] [3420/5278] eta: 1:23:45 lr: 1.4812614672722941e-05 loss: 0.0418 (0.0472) loss_seg: 0.0415 (0.0468) loss_lansim: 0.0310 (0.0364) loss_contra: 0.0003 (0.0024) time: 2.7037 data: 0.0052 max mem: 31630 Epoch: [29] [3430/5278] eta: 1:23:18 lr: 1.4810174664081733e-05 loss: 0.0414 (0.0472) loss_seg: 0.0411 (0.0468) loss_lansim: 0.0311 (0.0364) loss_contra: 0.0004 (0.0024) time: 2.7076 data: 0.0051 max mem: 31630 Epoch: [29] [3440/5278] eta: 1:22:51 lr: 1.4807734610773402e-05 loss: 0.0421 (0.0472) loss_seg: 0.0418 (0.0469) loss_lansim: 0.0313 (0.0364) loss_contra: 0.0004 (0.0024) time: 2.7086 data: 0.0052 max mem: 31630 Epoch: [29] [3450/5278] eta: 1:22:24 lr: 1.4805294512788951e-05 loss: 0.0429 (0.0472) loss_seg: 0.0426 (0.0469) loss_lansim: 0.0316 (0.0364) loss_contra: 0.0003 (0.0024) time: 2.7078 data: 0.0052 max mem: 31630 Epoch: [29] [3460/5278] eta: 1:21:57 lr: 1.4802854370119384e-05 loss: 0.0429 (0.0472) loss_seg: 0.0426 (0.0469) loss_lansim: 0.0318 (0.0364) loss_contra: 0.0003 (0.0024) time: 2.7069 data: 0.0052 max mem: 31630 Epoch: [29] [3470/5278] eta: 1:21:30 lr: 1.4800414182755693e-05 loss: 0.0446 (0.0473) loss_seg: 0.0443 (0.0469) loss_lansim: 0.0321 (0.0364) loss_contra: 0.0004 (0.0024) time: 2.7058 data: 0.0052 max mem: 31630 Epoch: [29] [3480/5278] eta: 1:21:03 lr: 1.4797973950688868e-05 loss: 0.0445 (0.0473) loss_seg: 0.0442 (0.0469) loss_lansim: 0.0322 (0.0364) loss_contra: 0.0004 (0.0024) time: 2.7051 data: 0.0051 max mem: 31630 Epoch: [29] [3490/5278] eta: 1:20:36 lr: 1.4795533673909905e-05 loss: 0.0449 (0.0473) loss_seg: 0.0446 (0.0469) loss_lansim: 0.0324 (0.0364) loss_contra: 0.0004 (0.0024) time: 2.7044 data: 0.0052 max mem: 31630 Epoch: [29] [3500/5278] eta: 1:20:09 lr: 1.4793093352409789e-05 loss: 0.0428 (0.0473) loss_seg: 0.0425 (0.0469) loss_lansim: 0.0327 (0.0363) loss_contra: 0.0004 (0.0024) time: 2.7055 data: 0.0052 max mem: 31630 Epoch: [29] [3510/5278] eta: 1:19:42 lr: 1.479065298617951e-05 loss: 0.0448 (0.0473) loss_seg: 0.0444 (0.0469) loss_lansim: 0.0329 (0.0363) loss_contra: 0.0003 (0.0024) time: 2.7062 data: 0.0052 max mem: 31630 Epoch: [29] [3520/5278] eta: 1:19:14 lr: 1.4788212575210032e-05 loss: 0.0454 (0.0473) loss_seg: 0.0451 (0.0469) loss_lansim: 0.0328 (0.0363) loss_contra: 0.0003 (0.0024) time: 2.7080 data: 0.0052 max mem: 31630 Epoch: [29] [3530/5278] eta: 1:18:48 lr: 1.4785772119492342e-05 loss: 0.0471 (0.0473) loss_seg: 0.0467 (0.0469) loss_lansim: 0.0326 (0.0363) loss_contra: 0.0003 (0.0024) time: 2.7064 data: 0.0052 max mem: 31630 Epoch: [29] [3540/5278] eta: 1:18:20 lr: 1.478333161901741e-05 loss: 0.0471 (0.0473) loss_seg: 0.0467 (0.0469) loss_lansim: 0.0323 (0.0363) loss_contra: 0.0003 (0.0024) time: 2.7028 data: 0.0052 max mem: 31630 Epoch: [29] [3550/5278] eta: 1:17:53 lr: 1.4780891073776212e-05 loss: 0.0461 (0.0473) loss_seg: 0.0457 (0.0469) loss_lansim: 0.0321 (0.0363) loss_contra: 0.0003 (0.0024) time: 2.7006 data: 0.0052 max mem: 31630 Epoch: [29] [3560/5278] eta: 1:17:26 lr: 1.47784504837597e-05 loss: 0.0471 (0.0473) loss_seg: 0.0467 (0.0469) loss_lansim: 0.0321 (0.0363) loss_contra: 0.0003 (0.0024) time: 2.6989 data: 0.0053 max mem: 31630 Epoch: [29] [3570/5278] eta: 1:16:59 lr: 1.4776009848958844e-05 loss: 0.0475 (0.0473) loss_seg: 0.0472 (0.0470) loss_lansim: 0.0319 (0.0363) loss_contra: 0.0003 (0.0024) time: 2.6930 data: 0.0053 max mem: 31630 Epoch: [29] [3580/5278] eta: 1:16:32 lr: 1.4773569169364604e-05 loss: 0.0453 (0.0473) loss_seg: 0.0450 (0.0469) loss_lansim: 0.0317 (0.0362) loss_contra: 0.0003 (0.0024) time: 2.6964 data: 0.0053 max mem: 31630 Epoch: [29] [3590/5278] eta: 1:16:05 lr: 1.4771128444967935e-05 loss: 0.0453 (0.0473) loss_seg: 0.0450 (0.0469) loss_lansim: 0.0317 (0.0362) loss_contra: 0.0003 (0.0024) time: 2.6902 data: 0.0053 max mem: 31630 Epoch: [29] [3600/5278] eta: 1:15:37 lr: 1.4768687675759784e-05 loss: 0.0470 (0.0473) loss_seg: 0.0467 (0.0469) loss_lansim: 0.0317 (0.0362) loss_contra: 0.0003 (0.0024) time: 2.6886 data: 0.0054 max mem: 31630 Epoch: [29] [3610/5278] eta: 1:15:10 lr: 1.4766246861731104e-05 loss: 0.0470 (0.0473) loss_seg: 0.0467 (0.0469) loss_lansim: 0.0319 (0.0362) loss_contra: 0.0003 (0.0024) time: 2.6850 data: 0.0053 max mem: 31630 Epoch: [29] [3620/5278] eta: 1:14:43 lr: 1.4763806002872838e-05 loss: 0.0468 (0.0473) loss_seg: 0.0465 (0.0469) loss_lansim: 0.0320 (0.0362) loss_contra: 0.0003 (0.0024) time: 2.6826 data: 0.0053 max mem: 31630 Epoch: [29] [3630/5278] eta: 1:14:16 lr: 1.476136509917593e-05 loss: 0.0462 (0.0473) loss_seg: 0.0459 (0.0469) loss_lansim: 0.0317 (0.0362) loss_contra: 0.0003 (0.0024) time: 2.6761 data: 0.0053 max mem: 31630 Epoch: [29] [3640/5278] eta: 1:13:48 lr: 1.4758924150631312e-05 loss: 0.0434 (0.0473) loss_seg: 0.0431 (0.0469) loss_lansim: 0.0317 (0.0362) loss_contra: 0.0003 (0.0024) time: 2.6724 data: 0.0053 max mem: 31630 Epoch: [29] [3650/5278] eta: 1:13:21 lr: 1.4756483157229922e-05 loss: 0.0466 (0.0474) loss_seg: 0.0462 (0.0470) loss_lansim: 0.0316 (0.0362) loss_contra: 0.0004 (0.0024) time: 2.6660 data: 0.0053 max mem: 31630 Epoch: [29] [3660/5278] eta: 1:12:54 lr: 1.475404211896269e-05 loss: 0.0470 (0.0474) loss_seg: 0.0467 (0.0470) loss_lansim: 0.0316 (0.0362) loss_contra: 0.0005 (0.0024) time: 2.6598 data: 0.0053 max mem: 31630 Epoch: [29] [3670/5278] eta: 1:12:26 lr: 1.4751601035820548e-05 loss: 0.0462 (0.0474) loss_seg: 0.0459 (0.0470) loss_lansim: 0.0317 (0.0361) loss_contra: 0.0006 (0.0024) time: 2.6555 data: 0.0053 max mem: 31630 Epoch: [29] [3680/5278] eta: 1:11:59 lr: 1.474915990779441e-05 loss: 0.0466 (0.0474) loss_seg: 0.0462 (0.0470) loss_lansim: 0.0321 (0.0361) loss_contra: 0.0006 (0.0024) time: 2.6449 data: 0.0053 max mem: 31630 Epoch: [29] [3690/5278] eta: 1:11:31 lr: 1.4746718734875204e-05 loss: 0.0461 (0.0474) loss_seg: 0.0458 (0.0470) loss_lansim: 0.0323 (0.0361) loss_contra: 0.0004 (0.0024) time: 2.6414 data: 0.0054 max mem: 31630 Epoch: [29] [3700/5278] eta: 1:11:04 lr: 1.4744277517053842e-05 loss: 0.0462 (0.0474) loss_seg: 0.0459 (0.0470) loss_lansim: 0.0325 (0.0361) loss_contra: 0.0004 (0.0024) time: 2.6365 data: 0.0054 max mem: 31630 Epoch: [29] [3710/5278] eta: 1:10:37 lr: 1.4741836254321244e-05 loss: 0.0453 (0.0474) loss_seg: 0.0450 (0.0470) loss_lansim: 0.0324 (0.0361) loss_contra: 0.0005 (0.0024) time: 2.6304 data: 0.0054 max mem: 31630 Epoch: [29] [3720/5278] eta: 1:10:09 lr: 1.4739394946668313e-05 loss: 0.0444 (0.0474) loss_seg: 0.0441 (0.0470) loss_lansim: 0.0325 (0.0361) loss_contra: 0.0004 (0.0024) time: 2.6251 data: 0.0054 max mem: 31630 Epoch: [29] [3730/5278] eta: 1:09:42 lr: 1.4736953594085956e-05 loss: 0.0455 (0.0474) loss_seg: 0.0453 (0.0470) loss_lansim: 0.0326 (0.0361) loss_contra: 0.0003 (0.0024) time: 2.6210 data: 0.0055 max mem: 31630 Epoch: [29] [3740/5278] eta: 1:09:15 lr: 1.4734512196565078e-05 loss: 0.0456 (0.0474) loss_seg: 0.0453 (0.0470) loss_lansim: 0.0326 (0.0361) loss_contra: 0.0003 (0.0024) time: 2.6209 data: 0.0054 max mem: 31630 Epoch: [29] [3750/5278] eta: 1:08:47 lr: 1.4732070754096577e-05 loss: 0.0453 (0.0474) loss_seg: 0.0450 (0.0470) loss_lansim: 0.0328 (0.0361) loss_contra: 0.0003 (0.0024) time: 2.6209 data: 0.0054 max mem: 31630 Epoch: [29] [3760/5278] eta: 1:08:20 lr: 1.4729629266671355e-05 loss: 0.0443 (0.0474) loss_seg: 0.0439 (0.0470) loss_lansim: 0.0328 (0.0361) loss_contra: 0.0003 (0.0024) time: 2.6207 data: 0.0055 max mem: 31630 Epoch: [29] [3770/5278] eta: 1:07:53 lr: 1.4727187734280293e-05 loss: 0.0443 (0.0474) loss_seg: 0.0440 (0.0470) loss_lansim: 0.0328 (0.0361) loss_contra: 0.0002 (0.0024) time: 2.6222 data: 0.0055 max mem: 31630 Epoch: [29] [3780/5278] eta: 1:07:26 lr: 1.4724746156914284e-05 loss: 0.0443 (0.0474) loss_seg: 0.0440 (0.0470) loss_lansim: 0.0327 (0.0361) loss_contra: 0.0003 (0.0024) time: 2.6312 data: 0.0055 max mem: 31630 Epoch: [29] [3790/5278] eta: 1:06:58 lr: 1.4722304534564213e-05 loss: 0.0445 (0.0474) loss_seg: 0.0442 (0.0470) loss_lansim: 0.0326 (0.0360) loss_contra: 0.0002 (0.0024) time: 2.6355 data: 0.0055 max mem: 31630 Epoch: [29] [3800/5278] eta: 1:06:31 lr: 1.4719862867220972e-05 loss: 0.0430 (0.0474) loss_seg: 0.0426 (0.0470) loss_lansim: 0.0325 (0.0360) loss_contra: 0.0002 (0.0024) time: 2.6423 data: 0.0055 max mem: 31630 Epoch: [29] [3810/5278] eta: 1:06:04 lr: 1.4717421154875422e-05 loss: 0.0433 (0.0474) loss_seg: 0.0429 (0.0470) loss_lansim: 0.0324 (0.0360) loss_contra: 0.0002 (0.0024) time: 2.6505 data: 0.0055 max mem: 31630 Epoch: [29] [3820/5278] eta: 1:05:37 lr: 1.4714979397518444e-05 loss: 0.0451 (0.0474) loss_seg: 0.0447 (0.0470) loss_lansim: 0.0321 (0.0360) loss_contra: 0.0003 (0.0024) time: 2.6597 data: 0.0055 max mem: 31630 Epoch: [29] [3830/5278] eta: 1:05:10 lr: 1.4712537595140914e-05 loss: 0.0427 (0.0474) loss_seg: 0.0424 (0.0470) loss_lansim: 0.0322 (0.0360) loss_contra: 0.0004 (0.0024) time: 2.6681 data: 0.0055 max mem: 31630 Epoch: [29] [3840/5278] eta: 1:04:43 lr: 1.4710095747733699e-05 loss: 0.0426 (0.0474) loss_seg: 0.0422 (0.0470) loss_lansim: 0.0322 (0.0360) loss_contra: 0.0004 (0.0024) time: 2.6734 data: 0.0055 max mem: 31630 Epoch: [29] [3850/5278] eta: 1:04:16 lr: 1.4707653855287654e-05 loss: 0.0422 (0.0473) loss_seg: 0.0419 (0.0470) loss_lansim: 0.0317 (0.0360) loss_contra: 0.0004 (0.0024) time: 2.6788 data: 0.0054 max mem: 31630 Epoch: [29] [3860/5278] eta: 1:03:49 lr: 1.4705211917793644e-05 loss: 0.0425 (0.0474) loss_seg: 0.0422 (0.0470) loss_lansim: 0.0319 (0.0360) loss_contra: 0.0004 (0.0024) time: 2.6896 data: 0.0054 max mem: 31630 Epoch: [29] [3870/5278] eta: 1:03:22 lr: 1.4702769935242528e-05 loss: 0.0423 (0.0473) loss_seg: 0.0419 (0.0470) loss_lansim: 0.0316 (0.0360) loss_contra: 0.0003 (0.0024) time: 2.6991 data: 0.0054 max mem: 31630 Epoch: [29] [3880/5278] eta: 1:02:55 lr: 1.4700327907625164e-05 loss: 0.0422 (0.0473) loss_seg: 0.0419 (0.0469) loss_lansim: 0.0317 (0.0360) loss_contra: 0.0004 (0.0024) time: 2.6962 data: 0.0054 max mem: 31630 Epoch: [29] [3890/5278] eta: 1:02:28 lr: 1.469788583493239e-05 loss: 0.0422 (0.0473) loss_seg: 0.0419 (0.0469) loss_lansim: 0.0316 (0.0359) loss_contra: 0.0004 (0.0024) time: 2.6992 data: 0.0054 max mem: 31630 Epoch: [29] [3900/5278] eta: 1:02:01 lr: 1.4695443717155059e-05 loss: 0.0426 (0.0474) loss_seg: 0.0422 (0.0470) loss_lansim: 0.0320 (0.0359) loss_contra: 0.0003 (0.0024) time: 2.6995 data: 0.0053 max mem: 31630 Epoch: [29] [3910/5278] eta: 1:01:34 lr: 1.4693001554284011e-05 loss: 0.0438 (0.0474) loss_seg: 0.0434 (0.0470) loss_lansim: 0.0320 (0.0359) loss_contra: 0.0004 (0.0024) time: 2.6968 data: 0.0053 max mem: 31630 Epoch: [29] [3920/5278] eta: 1:01:07 lr: 1.4690559346310092e-05 loss: 0.0426 (0.0474) loss_seg: 0.0422 (0.0470) loss_lansim: 0.0321 (0.0359) loss_contra: 0.0003 (0.0024) time: 2.6958 data: 0.0053 max mem: 31630 Epoch: [29] [3930/5278] eta: 1:00:40 lr: 1.4688117093224127e-05 loss: 0.0437 (0.0474) loss_seg: 0.0434 (0.0470) loss_lansim: 0.0320 (0.0359) loss_contra: 0.0002 (0.0024) time: 2.6962 data: 0.0053 max mem: 31630 Epoch: [29] [3940/5278] eta: 1:00:13 lr: 1.4685674795016955e-05 loss: 0.0438 (0.0474) loss_seg: 0.0434 (0.0470) loss_lansim: 0.0321 (0.0359) loss_contra: 0.0002 (0.0024) time: 2.6977 data: 0.0053 max mem: 31630 Epoch: [29] [3950/5278] eta: 0:59:46 lr: 1.4683232451679402e-05 loss: 0.0440 (0.0474) loss_seg: 0.0437 (0.0471) loss_lansim: 0.0319 (0.0359) loss_contra: 0.0002 (0.0024) time: 2.7000 data: 0.0053 max mem: 31630 Epoch: [29] [3960/5278] eta: 0:59:19 lr: 1.46807900632023e-05 loss: 0.0445 (0.0474) loss_seg: 0.0442 (0.0471) loss_lansim: 0.0313 (0.0359) loss_contra: 0.0002 (0.0024) time: 2.6949 data: 0.0053 max mem: 31630 Epoch: [29] [3970/5278] eta: 0:58:52 lr: 1.4678347629576455e-05 loss: 0.0448 (0.0474) loss_seg: 0.0445 (0.0471) loss_lansim: 0.0313 (0.0359) loss_contra: 0.0002 (0.0024) time: 2.6932 data: 0.0052 max mem: 31630 Epoch: [29] [3980/5278] eta: 0:58:25 lr: 1.4675905150792698e-05 loss: 0.0463 (0.0474) loss_seg: 0.0460 (0.0471) loss_lansim: 0.0310 (0.0358) loss_contra: 0.0002 (0.0024) time: 2.6928 data: 0.0052 max mem: 31630 Epoch: [29] [3990/5278] eta: 0:57:58 lr: 1.4673462626841835e-05 loss: 0.0470 (0.0474) loss_seg: 0.0466 (0.0470) loss_lansim: 0.0310 (0.0358) loss_contra: 0.0002 (0.0024) time: 2.6923 data: 0.0052 max mem: 31630 Epoch: [29] [4000/5278] eta: 0:57:31 lr: 1.4671020057714686e-05 loss: 0.0473 (0.0474) loss_seg: 0.0469 (0.0470) loss_lansim: 0.0311 (0.0358) loss_contra: 0.0002 (0.0024) time: 2.6945 data: 0.0053 max mem: 31630 Epoch: [29] [4010/5278] eta: 0:57:04 lr: 1.4668577443402054e-05 loss: 0.0449 (0.0474) loss_seg: 0.0446 (0.0470) loss_lansim: 0.0310 (0.0358) loss_contra: 0.0002 (0.0024) time: 2.6947 data: 0.0053 max mem: 31630 Epoch: [29] [4020/5278] eta: 0:56:37 lr: 1.4666134783894737e-05 loss: 0.0452 (0.0474) loss_seg: 0.0450 (0.0470) loss_lansim: 0.0311 (0.0358) loss_contra: 0.0002 (0.0023) time: 2.6957 data: 0.0053 max mem: 31630 Epoch: [29] [4030/5278] eta: 0:56:10 lr: 1.4663692079183536e-05 loss: 0.0449 (0.0474) loss_seg: 0.0446 (0.0470) loss_lansim: 0.0310 (0.0358) loss_contra: 0.0002 (0.0023) time: 2.6937 data: 0.0053 max mem: 31630 Epoch: [29] [4040/5278] eta: 0:55:43 lr: 1.4661249329259252e-05 loss: 0.0449 (0.0475) loss_seg: 0.0446 (0.0471) loss_lansim: 0.0310 (0.0358) loss_contra: 0.0002 (0.0024) time: 2.6937 data: 0.0054 max mem: 31630 Epoch: [29] [4050/5278] eta: 0:55:16 lr: 1.4658806534112682e-05 loss: 0.0445 (0.0474) loss_seg: 0.0442 (0.0471) loss_lansim: 0.0310 (0.0358) loss_contra: 0.0002 (0.0023) time: 2.6948 data: 0.0053 max mem: 31630 Epoch: [29] [4060/5278] eta: 0:54:49 lr: 1.4656363693734603e-05 loss: 0.0425 (0.0474) loss_seg: 0.0421 (0.0470) loss_lansim: 0.0310 (0.0357) loss_contra: 0.0002 (0.0023) time: 2.6945 data: 0.0053 max mem: 31630 Epoch: [29] [4070/5278] eta: 0:54:22 lr: 1.4653920808115807e-05 loss: 0.0421 (0.0474) loss_seg: 0.0418 (0.0470) loss_lansim: 0.0309 (0.0357) loss_contra: 0.0002 (0.0023) time: 2.6971 data: 0.0053 max mem: 31630 Epoch: [29] [4080/5278] eta: 0:53:55 lr: 1.4651477877247077e-05 loss: 0.0418 (0.0474) loss_seg: 0.0415 (0.0470) loss_lansim: 0.0305 (0.0357) loss_contra: 0.0002 (0.0023) time: 2.6982 data: 0.0054 max mem: 31630 Epoch: [29] [4090/5278] eta: 0:53:28 lr: 1.4649034901119194e-05 loss: 0.0424 (0.0474) loss_seg: 0.0421 (0.0471) loss_lansim: 0.0302 (0.0357) loss_contra: 0.0002 (0.0023) time: 2.7013 data: 0.0054 max mem: 31630 Epoch: [29] [4100/5278] eta: 0:53:01 lr: 1.4646591879722924e-05 loss: 0.0413 (0.0474) loss_seg: 0.0410 (0.0470) loss_lansim: 0.0300 (0.0357) loss_contra: 0.0002 (0.0023) time: 2.7002 data: 0.0054 max mem: 31630 Epoch: [29] [4110/5278] eta: 0:52:34 lr: 1.464414881304904e-05 loss: 0.0413 (0.0474) loss_seg: 0.0410 (0.0470) loss_lansim: 0.0300 (0.0357) loss_contra: 0.0002 (0.0023) time: 2.7015 data: 0.0054 max mem: 31630 Epoch: [29] [4120/5278] eta: 0:52:07 lr: 1.4641705701088318e-05 loss: 0.0417 (0.0474) loss_seg: 0.0414 (0.0470) loss_lansim: 0.0297 (0.0357) loss_contra: 0.0002 (0.0023) time: 2.7034 data: 0.0054 max mem: 31630 Epoch: [29] [4130/5278] eta: 0:51:40 lr: 1.463926254383152e-05 loss: 0.0417 (0.0474) loss_seg: 0.0414 (0.0470) loss_lansim: 0.0299 (0.0356) loss_contra: 0.0002 (0.0023) time: 2.7023 data: 0.0055 max mem: 31630 Epoch: [29] [4140/5278] eta: 0:51:13 lr: 1.4636819341269397e-05 loss: 0.0424 (0.0474) loss_seg: 0.0421 (0.0471) loss_lansim: 0.0300 (0.0356) loss_contra: 0.0002 (0.0023) time: 2.7031 data: 0.0055 max mem: 31630 Epoch: [29] [4150/5278] eta: 0:50:46 lr: 1.4634376093392712e-05 loss: 0.0427 (0.0475) loss_seg: 0.0424 (0.0471) loss_lansim: 0.0295 (0.0356) loss_contra: 0.0002 (0.0023) time: 2.7007 data: 0.0055 max mem: 31630 Epoch: [29] [4160/5278] eta: 0:50:19 lr: 1.4631932800192219e-05 loss: 0.0455 (0.0475) loss_seg: 0.0452 (0.0471) loss_lansim: 0.0295 (0.0356) loss_contra: 0.0002 (0.0023) time: 2.7021 data: 0.0055 max mem: 31630 Epoch: [29] [4170/5278] eta: 0:49:52 lr: 1.4629489461658675e-05 loss: 0.0440 (0.0475) loss_seg: 0.0437 (0.0471) loss_lansim: 0.0295 (0.0356) loss_contra: 0.0002 (0.0023) time: 2.6995 data: 0.0055 max mem: 31630 Epoch: [29] [4180/5278] eta: 0:49:25 lr: 1.4627046077782808e-05 loss: 0.0427 (0.0475) loss_seg: 0.0424 (0.0471) loss_lansim: 0.0296 (0.0356) loss_contra: 0.0002 (0.0023) time: 2.6978 data: 0.0055 max mem: 31630 Epoch: [29] [4190/5278] eta: 0:48:58 lr: 1.4624602648555372e-05 loss: 0.0418 (0.0475) loss_seg: 0.0415 (0.0471) loss_lansim: 0.0296 (0.0356) loss_contra: 0.0002 (0.0023) time: 2.6948 data: 0.0054 max mem: 31630 Epoch: [29] [4200/5278] eta: 0:48:31 lr: 1.4622159173967104e-05 loss: 0.0416 (0.0475) loss_seg: 0.0413 (0.0471) loss_lansim: 0.0296 (0.0356) loss_contra: 0.0002 (0.0023) time: 2.6947 data: 0.0054 max mem: 31630 Epoch: [29] [4210/5278] eta: 0:48:04 lr: 1.4619715654008748e-05 loss: 0.0420 (0.0475) loss_seg: 0.0417 (0.0471) loss_lansim: 0.0295 (0.0355) loss_contra: 0.0002 (0.0023) time: 2.6959 data: 0.0054 max mem: 31630 Epoch: [29] [4220/5278] eta: 0:47:37 lr: 1.4617272088671019e-05 loss: 0.0431 (0.0475) loss_seg: 0.0427 (0.0471) loss_lansim: 0.0294 (0.0355) loss_contra: 0.0002 (0.0023) time: 2.6972 data: 0.0053 max mem: 31630 Epoch: [29] [4230/5278] eta: 0:47:10 lr: 1.4614828477944654e-05 loss: 0.0434 (0.0475) loss_seg: 0.0431 (0.0471) loss_lansim: 0.0291 (0.0355) loss_contra: 0.0002 (0.0023) time: 2.6965 data: 0.0053 max mem: 31630 Epoch: [29] [4240/5278] eta: 0:46:43 lr: 1.4612384821820373e-05 loss: 0.0417 (0.0475) loss_seg: 0.0413 (0.0471) loss_lansim: 0.0288 (0.0355) loss_contra: 0.0002 (0.0023) time: 2.7029 data: 0.0052 max mem: 31630 Epoch: [29] [4250/5278] eta: 0:46:16 lr: 1.4609941120288903e-05 loss: 0.0427 (0.0475) loss_seg: 0.0424 (0.0471) loss_lansim: 0.0289 (0.0355) loss_contra: 0.0002 (0.0023) time: 2.7033 data: 0.0052 max mem: 31630 Epoch: [29] [4260/5278] eta: 0:45:49 lr: 1.4607497373340965e-05 loss: 0.0431 (0.0475) loss_seg: 0.0427 (0.0471) loss_lansim: 0.0288 (0.0355) loss_contra: 0.0002 (0.0023) time: 2.7087 data: 0.0052 max mem: 31630 Epoch: [29] [4270/5278] eta: 0:45:22 lr: 1.4605053580967259e-05 loss: 0.0434 (0.0475) loss_seg: 0.0431 (0.0471) loss_lansim: 0.0288 (0.0354) loss_contra: 0.0002 (0.0023) time: 2.7055 data: 0.0052 max mem: 31630 Epoch: [29] [4280/5278] eta: 0:44:55 lr: 1.4602609743158501e-05 loss: 0.0435 (0.0475) loss_seg: 0.0432 (0.0471) loss_lansim: 0.0287 (0.0354) loss_contra: 0.0002 (0.0023) time: 2.7106 data: 0.0052 max mem: 31630 Epoch: [29] [4290/5278] eta: 0:44:28 lr: 1.4600165859905399e-05 loss: 0.0441 (0.0475) loss_seg: 0.0438 (0.0471) loss_lansim: 0.0284 (0.0354) loss_contra: 0.0002 (0.0023) time: 2.7116 data: 0.0052 max mem: 31630 Epoch: [29] [4300/5278] eta: 0:44:01 lr: 1.459772193119866e-05 loss: 0.0441 (0.0475) loss_seg: 0.0438 (0.0471) loss_lansim: 0.0284 (0.0354) loss_contra: 0.0002 (0.0023) time: 2.7152 data: 0.0052 max mem: 31630 Epoch: [29] [4310/5278] eta: 0:43:34 lr: 1.4595277957028972e-05 loss: 0.0438 (0.0475) loss_seg: 0.0435 (0.0471) loss_lansim: 0.0283 (0.0354) loss_contra: 0.0002 (0.0023) time: 2.7161 data: 0.0052 max mem: 31630 Epoch: [29] [4320/5278] eta: 0:43:07 lr: 1.4592833937387035e-05 loss: 0.0434 (0.0475) loss_seg: 0.0431 (0.0471) loss_lansim: 0.0284 (0.0354) loss_contra: 0.0001 (0.0023) time: 2.7136 data: 0.0052 max mem: 31630 Epoch: [29] [4330/5278] eta: 0:42:40 lr: 1.4590389872263543e-05 loss: 0.0438 (0.0475) loss_seg: 0.0435 (0.0471) loss_lansim: 0.0284 (0.0354) loss_contra: 0.0001 (0.0023) time: 2.7167 data: 0.0052 max mem: 31630 Epoch: [29] [4340/5278] eta: 0:42:13 lr: 1.4587945761649188e-05 loss: 0.0441 (0.0475) loss_seg: 0.0438 (0.0471) loss_lansim: 0.0284 (0.0353) loss_contra: 0.0002 (0.0023) time: 2.7163 data: 0.0052 max mem: 31630 Epoch: [29] [4350/5278] eta: 0:41:46 lr: 1.458550160553464e-05 loss: 0.0432 (0.0475) loss_seg: 0.0429 (0.0471) loss_lansim: 0.0280 (0.0353) loss_contra: 0.0002 (0.0023) time: 2.7195 data: 0.0052 max mem: 31630 Epoch: [29] [4360/5278] eta: 0:41:19 lr: 1.4583057403910593e-05 loss: 0.0423 (0.0475) loss_seg: 0.0421 (0.0471) loss_lansim: 0.0281 (0.0353) loss_contra: 0.0001 (0.0023) time: 2.7185 data: 0.0052 max mem: 31630 Epoch: [29] [4370/5278] eta: 0:40:52 lr: 1.4580613156767719e-05 loss: 0.0411 (0.0475) loss_seg: 0.0409 (0.0471) loss_lansim: 0.0284 (0.0353) loss_contra: 0.0001 (0.0023) time: 2.7220 data: 0.0051 max mem: 31630 Epoch: [29] [4380/5278] eta: 0:40:25 lr: 1.4578168864096697e-05 loss: 0.0411 (0.0475) loss_seg: 0.0409 (0.0471) loss_lansim: 0.0283 (0.0353) loss_contra: 0.0002 (0.0023) time: 2.7222 data: 0.0051 max mem: 31630 Epoch: [29] [4390/5278] eta: 0:39:58 lr: 1.457572452588819e-05 loss: 0.0405 (0.0475) loss_seg: 0.0402 (0.0471) loss_lansim: 0.0284 (0.0353) loss_contra: 0.0002 (0.0023) time: 2.7194 data: 0.0051 max mem: 31630 Epoch: [29] [4400/5278] eta: 0:39:31 lr: 1.4573280142132864e-05 loss: 0.0411 (0.0474) loss_seg: 0.0409 (0.0471) loss_lansim: 0.0282 (0.0352) loss_contra: 0.0001 (0.0023) time: 2.7182 data: 0.0051 max mem: 31630 Epoch: [29] [4410/5278] eta: 0:39:04 lr: 1.4570835712821385e-05 loss: 0.0411 (0.0474) loss_seg: 0.0409 (0.0471) loss_lansim: 0.0282 (0.0352) loss_contra: 0.0002 (0.0023) time: 2.7130 data: 0.0051 max mem: 31630 Epoch: [29] [4420/5278] eta: 0:38:37 lr: 1.4568391237944414e-05 loss: 0.0418 (0.0474) loss_seg: 0.0415 (0.0471) loss_lansim: 0.0282 (0.0352) loss_contra: 0.0002 (0.0023) time: 2.7136 data: 0.0051 max mem: 31630 Epoch: [29] [4430/5278] eta: 0:38:10 lr: 1.4565946717492602e-05 loss: 0.0413 (0.0475) loss_seg: 0.0409 (0.0471) loss_lansim: 0.0278 (0.0352) loss_contra: 0.0002 (0.0023) time: 2.7133 data: 0.0050 max mem: 31630 Epoch: [29] [4440/5278] eta: 0:37:43 lr: 1.4563502151456598e-05 loss: 0.0405 (0.0474) loss_seg: 0.0402 (0.0471) loss_lansim: 0.0278 (0.0352) loss_contra: 0.0002 (0.0023) time: 2.7075 data: 0.0050 max mem: 31630 Epoch: [29] [4450/5278] eta: 0:37:16 lr: 1.4561057539827056e-05 loss: 0.0405 (0.0475) loss_seg: 0.0402 (0.0471) loss_lansim: 0.0284 (0.0352) loss_contra: 0.0001 (0.0023) time: 2.7061 data: 0.0050 max mem: 31630 Epoch: [29] [4460/5278] eta: 0:36:49 lr: 1.4558612882594622e-05 loss: 0.0413 (0.0475) loss_seg: 0.0410 (0.0471) loss_lansim: 0.0282 (0.0351) loss_contra: 0.0002 (0.0023) time: 2.7005 data: 0.0050 max mem: 31630 Epoch: [29] [4470/5278] eta: 0:36:22 lr: 1.4556168179749926e-05 loss: 0.0421 (0.0475) loss_seg: 0.0419 (0.0471) loss_lansim: 0.0277 (0.0351) loss_contra: 0.0002 (0.0023) time: 2.7010 data: 0.0050 max mem: 31630 Epoch: [29] [4480/5278] eta: 0:35:55 lr: 1.4553723431283614e-05 loss: 0.0429 (0.0475) loss_seg: 0.0426 (0.0471) loss_lansim: 0.0277 (0.0351) loss_contra: 0.0001 (0.0023) time: 2.6988 data: 0.0050 max mem: 31630 Epoch: [29] [4490/5278] eta: 0:35:28 lr: 1.4551278637186317e-05 loss: 0.0427 (0.0475) loss_seg: 0.0424 (0.0471) loss_lansim: 0.0273 (0.0351) loss_contra: 0.0002 (0.0023) time: 2.7030 data: 0.0050 max mem: 31630 Epoch: [29] [4500/5278] eta: 0:35:01 lr: 1.4548833797448664e-05 loss: 0.0421 (0.0475) loss_seg: 0.0418 (0.0471) loss_lansim: 0.0273 (0.0351) loss_contra: 0.0002 (0.0023) time: 2.6983 data: 0.0050 max mem: 31630 Epoch: [29] [4510/5278] eta: 0:34:34 lr: 1.4546388912061285e-05 loss: 0.0421 (0.0475) loss_seg: 0.0418 (0.0472) loss_lansim: 0.0273 (0.0351) loss_contra: 0.0002 (0.0023) time: 2.7039 data: 0.0050 max mem: 31630 Epoch: [29] [4520/5278] eta: 0:34:07 lr: 1.4543943981014795e-05 loss: 0.0421 (0.0475) loss_seg: 0.0418 (0.0472) loss_lansim: 0.0273 (0.0350) loss_contra: 0.0002 (0.0023) time: 2.7006 data: 0.0050 max mem: 31630 Epoch: [29] [4530/5278] eta: 0:33:40 lr: 1.4541499004299816e-05 loss: 0.0425 (0.0475) loss_seg: 0.0422 (0.0472) loss_lansim: 0.0272 (0.0350) loss_contra: 0.0002 (0.0023) time: 2.7019 data: 0.0050 max mem: 31630 Epoch: [29] [4540/5278] eta: 0:33:13 lr: 1.4539053981906961e-05 loss: 0.0429 (0.0475) loss_seg: 0.0426 (0.0472) loss_lansim: 0.0273 (0.0350) loss_contra: 0.0002 (0.0023) time: 2.7022 data: 0.0050 max mem: 31630 Epoch: [29] [4550/5278] eta: 0:32:46 lr: 1.453660891382685e-05 loss: 0.0425 (0.0475) loss_seg: 0.0422 (0.0471) loss_lansim: 0.0272 (0.0350) loss_contra: 0.0003 (0.0023) time: 2.7051 data: 0.0050 max mem: 31630 Epoch: [29] [4560/5278] eta: 0:32:19 lr: 1.4534163800050077e-05 loss: 0.0421 (0.0475) loss_seg: 0.0418 (0.0471) loss_lansim: 0.0272 (0.0350) loss_contra: 0.0002 (0.0023) time: 2.7076 data: 0.0050 max mem: 31630 Epoch: [29] [4570/5278] eta: 0:31:52 lr: 1.4531718640567251e-05 loss: 0.0421 (0.0475) loss_seg: 0.0418 (0.0471) loss_lansim: 0.0270 (0.0350) loss_contra: 0.0003 (0.0023) time: 2.7078 data: 0.0050 max mem: 31630 Epoch: [29] [4580/5278] eta: 0:31:25 lr: 1.4529273435368978e-05 loss: 0.0401 (0.0475) loss_seg: 0.0398 (0.0471) loss_lansim: 0.0270 (0.0349) loss_contra: 0.0003 (0.0023) time: 2.7085 data: 0.0050 max mem: 31630 Epoch: [29] [4590/5278] eta: 0:30:58 lr: 1.4526828184445854e-05 loss: 0.0399 (0.0475) loss_seg: 0.0396 (0.0471) loss_lansim: 0.0276 (0.0349) loss_contra: 0.0003 (0.0023) time: 2.7095 data: 0.0051 max mem: 31630 Epoch: [29] [4600/5278] eta: 0:30:31 lr: 1.452438288778846e-05 loss: 0.0431 (0.0475) loss_seg: 0.0429 (0.0471) loss_lansim: 0.0276 (0.0349) loss_contra: 0.0003 (0.0023) time: 2.7101 data: 0.0051 max mem: 31630 Epoch: [29] [4610/5278] eta: 0:30:04 lr: 1.4521937545387393e-05 loss: 0.0430 (0.0475) loss_seg: 0.0426 (0.0471) loss_lansim: 0.0277 (0.0349) loss_contra: 0.0003 (0.0023) time: 2.7093 data: 0.0050 max mem: 31630 Epoch: [29] [4620/5278] eta: 0:29:37 lr: 1.4519492157233239e-05 loss: 0.0430 (0.0475) loss_seg: 0.0426 (0.0471) loss_lansim: 0.0276 (0.0349) loss_contra: 0.0003 (0.0023) time: 2.7094 data: 0.0051 max mem: 31630 Epoch: [29] [4630/5278] eta: 0:29:10 lr: 1.4517046723316583e-05 loss: 0.0427 (0.0475) loss_seg: 0.0424 (0.0471) loss_lansim: 0.0277 (0.0349) loss_contra: 0.0003 (0.0023) time: 2.7091 data: 0.0050 max mem: 31630 Epoch: [29] [4640/5278] eta: 0:28:43 lr: 1.4514601243627995e-05 loss: 0.0426 (0.0475) loss_seg: 0.0423 (0.0471) loss_lansim: 0.0277 (0.0349) loss_contra: 0.0003 (0.0023) time: 2.7087 data: 0.0051 max mem: 31630 Epoch: [29] [4650/5278] eta: 0:28:16 lr: 1.4512155718158052e-05 loss: 0.0422 (0.0475) loss_seg: 0.0419 (0.0471) loss_lansim: 0.0277 (0.0348) loss_contra: 0.0002 (0.0023) time: 2.7022 data: 0.0051 max mem: 31630 Epoch: [29] [4660/5278] eta: 0:27:49 lr: 1.4509710146897324e-05 loss: 0.0430 (0.0475) loss_seg: 0.0426 (0.0471) loss_lansim: 0.0277 (0.0348) loss_contra: 0.0002 (0.0022) time: 2.7052 data: 0.0051 max mem: 31630 Epoch: [29] [4670/5278] eta: 0:27:22 lr: 1.4507264529836387e-05 loss: 0.0430 (0.0475) loss_seg: 0.0426 (0.0471) loss_lansim: 0.0277 (0.0348) loss_contra: 0.0002 (0.0022) time: 2.7007 data: 0.0051 max mem: 31630 Epoch: [29] [4680/5278] eta: 0:26:55 lr: 1.4504818866965789e-05 loss: 0.0441 (0.0475) loss_seg: 0.0438 (0.0471) loss_lansim: 0.0277 (0.0348) loss_contra: 0.0002 (0.0022) time: 2.7032 data: 0.0050 max mem: 31630 Epoch: [29] [4690/5278] eta: 0:26:28 lr: 1.4502373158276097e-05 loss: 0.0435 (0.0475) loss_seg: 0.0432 (0.0471) loss_lansim: 0.0273 (0.0348) loss_contra: 0.0002 (0.0022) time: 2.7000 data: 0.0051 max mem: 31630 Epoch: [29] [4700/5278] eta: 0:26:01 lr: 1.4499927403757869e-05 loss: 0.0439 (0.0475) loss_seg: 0.0436 (0.0471) loss_lansim: 0.0274 (0.0348) loss_contra: 0.0002 (0.0022) time: 2.7046 data: 0.0051 max mem: 31630 Epoch: [29] [4710/5278] eta: 0:25:34 lr: 1.4497481603401653e-05 loss: 0.0443 (0.0475) loss_seg: 0.0439 (0.0471) loss_lansim: 0.0274 (0.0348) loss_contra: 0.0002 (0.0023) time: 2.7015 data: 0.0051 max mem: 31630 Epoch: [29] [4720/5278] eta: 0:25:07 lr: 1.4495035757198003e-05 loss: 0.0441 (0.0475) loss_seg: 0.0438 (0.0471) loss_lansim: 0.0276 (0.0347) loss_contra: 0.0002 (0.0023) time: 2.7029 data: 0.0051 max mem: 31630 Epoch: [29] [4730/5278] eta: 0:24:40 lr: 1.4492589865137454e-05 loss: 0.0443 (0.0475) loss_seg: 0.0441 (0.0471) loss_lansim: 0.0276 (0.0347) loss_contra: 0.0002 (0.0023) time: 2.7016 data: 0.0051 max mem: 31630 Epoch: [29] [4740/5278] eta: 0:24:13 lr: 1.449014392721055e-05 loss: 0.0447 (0.0475) loss_seg: 0.0443 (0.0471) loss_lansim: 0.0276 (0.0347) loss_contra: 0.0002 (0.0023) time: 2.7024 data: 0.0051 max mem: 31630 Epoch: [29] [4750/5278] eta: 0:23:46 lr: 1.4487697943407833e-05 loss: 0.0449 (0.0475) loss_seg: 0.0446 (0.0471) loss_lansim: 0.0274 (0.0347) loss_contra: 0.0002 (0.0022) time: 2.7029 data: 0.0051 max mem: 31630 Epoch: [29] [4760/5278] eta: 0:23:19 lr: 1.4485251913719839e-05 loss: 0.0446 (0.0474) loss_seg: 0.0443 (0.0471) loss_lansim: 0.0270 (0.0347) loss_contra: 0.0002 (0.0023) time: 2.7024 data: 0.0051 max mem: 31630 Epoch: [29] [4770/5278] eta: 0:22:52 lr: 1.4482805838137084e-05 loss: 0.0437 (0.0474) loss_seg: 0.0434 (0.0471) loss_lansim: 0.0276 (0.0347) loss_contra: 0.0002 (0.0023) time: 2.7053 data: 0.0051 max mem: 31630 Epoch: [29] [4780/5278] eta: 0:22:25 lr: 1.4480359716650105e-05 loss: 0.0418 (0.0474) loss_seg: 0.0415 (0.0470) loss_lansim: 0.0278 (0.0347) loss_contra: 0.0002 (0.0023) time: 2.7045 data: 0.0051 max mem: 31630 Epoch: [29] [4790/5278] eta: 0:21:58 lr: 1.4477913549249419e-05 loss: 0.0422 (0.0474) loss_seg: 0.0417 (0.0470) loss_lansim: 0.0280 (0.0346) loss_contra: 0.0002 (0.0023) time: 2.7062 data: 0.0051 max mem: 31630 Epoch: [29] [4800/5278] eta: 0:21:31 lr: 1.4475467335925552e-05 loss: 0.0418 (0.0474) loss_seg: 0.0415 (0.0470) loss_lansim: 0.0280 (0.0346) loss_contra: 0.0002 (0.0023) time: 2.7084 data: 0.0052 max mem: 31630 Epoch: [29] [4810/5278] eta: 0:21:04 lr: 1.4473021076669007e-05 loss: 0.0401 (0.0474) loss_seg: 0.0397 (0.0470) loss_lansim: 0.0278 (0.0346) loss_contra: 0.0002 (0.0023) time: 2.7096 data: 0.0052 max mem: 31630 Epoch: [29] [4820/5278] eta: 0:20:37 lr: 1.4470574771470302e-05 loss: 0.0401 (0.0474) loss_seg: 0.0397 (0.0470) loss_lansim: 0.0282 (0.0346) loss_contra: 0.0002 (0.0023) time: 2.7145 data: 0.0052 max mem: 31630 Epoch: [29] [4830/5278] eta: 0:20:10 lr: 1.4468128420319944e-05 loss: 0.0401 (0.0474) loss_seg: 0.0397 (0.0470) loss_lansim: 0.0283 (0.0346) loss_contra: 0.0002 (0.0023) time: 2.7127 data: 0.0053 max mem: 31630 Epoch: [29] [4840/5278] eta: 0:19:43 lr: 1.446568202320844e-05 loss: 0.0401 (0.0474) loss_seg: 0.0397 (0.0470) loss_lansim: 0.0283 (0.0346) loss_contra: 0.0002 (0.0023) time: 2.7179 data: 0.0053 max mem: 31630 Epoch: [29] [4850/5278] eta: 0:19:16 lr: 1.446323558012628e-05 loss: 0.0409 (0.0474) loss_seg: 0.0405 (0.0470) loss_lansim: 0.0283 (0.0346) loss_contra: 0.0002 (0.0023) time: 2.7193 data: 0.0053 max mem: 31630 Epoch: [29] [4860/5278] eta: 0:18:49 lr: 1.4460789091063967e-05 loss: 0.0421 (0.0474) loss_seg: 0.0417 (0.0470) loss_lansim: 0.0285 (0.0346) loss_contra: 0.0002 (0.0023) time: 2.7189 data: 0.0053 max mem: 31630 Epoch: [29] [4870/5278] eta: 0:18:22 lr: 1.4458342556011991e-05 loss: 0.0430 (0.0474) loss_seg: 0.0427 (0.0470) loss_lansim: 0.0285 (0.0345) loss_contra: 0.0002 (0.0023) time: 2.7173 data: 0.0053 max mem: 31630 Epoch: [29] [4880/5278] eta: 0:17:55 lr: 1.4455895974960844e-05 loss: 0.0430 (0.0474) loss_seg: 0.0427 (0.0470) loss_lansim: 0.0277 (0.0345) loss_contra: 0.0002 (0.0023) time: 2.7149 data: 0.0053 max mem: 31630 Epoch: [29] [4890/5278] eta: 0:17:28 lr: 1.4453449347901004e-05 loss: 0.0432 (0.0474) loss_seg: 0.0427 (0.0470) loss_lansim: 0.0277 (0.0345) loss_contra: 0.0002 (0.0023) time: 2.7135 data: 0.0053 max mem: 31630 Epoch: [29] [4900/5278] eta: 0:17:01 lr: 1.4451002674822958e-05 loss: 0.0430 (0.0474) loss_seg: 0.0427 (0.0470) loss_lansim: 0.0277 (0.0345) loss_contra: 0.0002 (0.0023) time: 2.7084 data: 0.0053 max mem: 31630 Epoch: [29] [4910/5278] eta: 0:16:34 lr: 1.4448555955717177e-05 loss: 0.0428 (0.0474) loss_seg: 0.0425 (0.0470) loss_lansim: 0.0274 (0.0345) loss_contra: 0.0002 (0.0023) time: 2.7064 data: 0.0053 max mem: 31630 Epoch: [29] [4920/5278] eta: 0:16:07 lr: 1.4446109190574148e-05 loss: 0.0430 (0.0474) loss_seg: 0.0427 (0.0470) loss_lansim: 0.0273 (0.0345) loss_contra: 0.0002 (0.0023) time: 2.7037 data: 0.0053 max mem: 31630 Epoch: [29] [4930/5278] eta: 0:15:40 lr: 1.444366237938432e-05 loss: 0.0430 (0.0474) loss_seg: 0.0427 (0.0470) loss_lansim: 0.0273 (0.0345) loss_contra: 0.0002 (0.0023) time: 2.7020 data: 0.0053 max mem: 31630 Epoch: [29] [4940/5278] eta: 0:15:13 lr: 1.4441215522138174e-05 loss: 0.0432 (0.0474) loss_seg: 0.0427 (0.0470) loss_lansim: 0.0273 (0.0344) loss_contra: 0.0002 (0.0023) time: 2.6955 data: 0.0053 max mem: 31630 Epoch: [29] [4950/5278] eta: 0:14:46 lr: 1.4438768618826165e-05 loss: 0.0430 (0.0474) loss_seg: 0.0427 (0.0470) loss_lansim: 0.0274 (0.0344) loss_contra: 0.0002 (0.0023) time: 2.6953 data: 0.0053 max mem: 31630 Epoch: [29] [4960/5278] eta: 0:14:19 lr: 1.4436321669438758e-05 loss: 0.0422 (0.0473) loss_seg: 0.0413 (0.0470) loss_lansim: 0.0277 (0.0344) loss_contra: 0.0003 (0.0024) time: 2.6920 data: 0.0054 max mem: 31630 Epoch: [29] [4970/5278] eta: 0:13:52 lr: 1.4433874673966404e-05 loss: 0.0422 (0.0474) loss_seg: 0.0414 (0.0470) loss_lansim: 0.0277 (0.0344) loss_contra: 0.0002 (0.0024) time: 2.6950 data: 0.0054 max mem: 31630 Epoch: [29] [4980/5278] eta: 0:13:25 lr: 1.4431427632399553e-05 loss: 0.0433 (0.0474) loss_seg: 0.0430 (0.0470) loss_lansim: 0.0280 (0.0344) loss_contra: 0.0003 (0.0024) time: 2.6901 data: 0.0054 max mem: 31630 Epoch: [29] [4990/5278] eta: 0:12:58 lr: 1.4428980544728649e-05 loss: 0.0428 (0.0473) loss_seg: 0.0425 (0.0470) loss_lansim: 0.0279 (0.0344) loss_contra: 0.0003 (0.0024) time: 2.6920 data: 0.0054 max mem: 31630 Epoch: [29] [5000/5278] eta: 0:12:31 lr: 1.442653341094414e-05 loss: 0.0421 (0.0473) loss_seg: 0.0414 (0.0470) loss_lansim: 0.0280 (0.0344) loss_contra: 0.0003 (0.0024) time: 2.6913 data: 0.0054 max mem: 31630 Epoch: [29] [5010/5278] eta: 0:12:04 lr: 1.4424086231036468e-05 loss: 0.0439 (0.0473) loss_seg: 0.0437 (0.0470) loss_lansim: 0.0283 (0.0344) loss_contra: 0.0003 (0.0024) time: 2.6932 data: 0.0054 max mem: 31630 Epoch: [29] [5020/5278] eta: 0:11:36 lr: 1.4421639004996062e-05 loss: 0.0439 (0.0473) loss_seg: 0.0437 (0.0470) loss_lansim: 0.0284 (0.0344) loss_contra: 0.0003 (0.0024) time: 2.6924 data: 0.0054 max mem: 31630 Epoch: [29] [5030/5278] eta: 0:11:09 lr: 1.4419191732813356e-05 loss: 0.0439 (0.0473) loss_seg: 0.0437 (0.0470) loss_lansim: 0.0283 (0.0343) loss_contra: 0.0003 (0.0024) time: 2.6951 data: 0.0055 max mem: 31630 Epoch: [29] [5040/5278] eta: 0:10:42 lr: 1.4416744414478779e-05 loss: 0.0430 (0.0473) loss_seg: 0.0427 (0.0470) loss_lansim: 0.0283 (0.0343) loss_contra: 0.0003 (0.0024) time: 2.6934 data: 0.0055 max mem: 31630 Epoch: [29] [5050/5278] eta: 0:10:15 lr: 1.441429704998276e-05 loss: 0.0444 (0.0473) loss_seg: 0.0441 (0.0470) loss_lansim: 0.0287 (0.0343) loss_contra: 0.0003 (0.0024) time: 2.6981 data: 0.0055 max mem: 31630 Epoch: [29] [5060/5278] eta: 0:09:48 lr: 1.4411849639315709e-05 loss: 0.0444 (0.0473) loss_seg: 0.0441 (0.0470) loss_lansim: 0.0283 (0.0343) loss_contra: 0.0003 (0.0024) time: 2.6980 data: 0.0055 max mem: 31630 Epoch: [29] [5070/5278] eta: 0:09:21 lr: 1.440940218246805e-05 loss: 0.0439 (0.0473) loss_seg: 0.0437 (0.0469) loss_lansim: 0.0283 (0.0343) loss_contra: 0.0003 (0.0024) time: 2.6982 data: 0.0055 max mem: 31630 Epoch: [29] [5080/5278] eta: 0:08:54 lr: 1.4406954679430191e-05 loss: 0.0430 (0.0473) loss_seg: 0.0427 (0.0469) loss_lansim: 0.0288 (0.0343) loss_contra: 0.0003 (0.0024) time: 2.7004 data: 0.0055 max mem: 31630 Epoch: [29] [5090/5278] eta: 0:08:27 lr: 1.4404507130192552e-05 loss: 0.0430 (0.0473) loss_seg: 0.0427 (0.0469) loss_lansim: 0.0291 (0.0343) loss_contra: 0.0003 (0.0024) time: 2.7014 data: 0.0055 max mem: 31630 Epoch: [29] [5100/5278] eta: 0:08:00 lr: 1.4402059534745523e-05 loss: 0.0435 (0.0473) loss_seg: 0.0432 (0.0469) loss_lansim: 0.0291 (0.0343) loss_contra: 0.0003 (0.0024) time: 2.6998 data: 0.0055 max mem: 31630 Epoch: [29] [5110/5278] eta: 0:07:33 lr: 1.4399611893079517e-05 loss: 0.0435 (0.0473) loss_seg: 0.0432 (0.0469) loss_lansim: 0.0290 (0.0343) loss_contra: 0.0003 (0.0024) time: 2.7025 data: 0.0055 max mem: 31630 Epoch: [29] [5120/5278] eta: 0:07:06 lr: 1.4397164205184924e-05 loss: 0.0440 (0.0473) loss_seg: 0.0437 (0.0469) loss_lansim: 0.0285 (0.0342) loss_contra: 0.0004 (0.0024) time: 2.7017 data: 0.0054 max mem: 31630 Epoch: [29] [5130/5278] eta: 0:06:39 lr: 1.4394716471052149e-05 loss: 0.0430 (0.0473) loss_seg: 0.0427 (0.0469) loss_lansim: 0.0287 (0.0342) loss_contra: 0.0003 (0.0024) time: 2.7045 data: 0.0053 max mem: 31630 Epoch: [29] [5140/5278] eta: 0:06:12 lr: 1.439226869067157e-05 loss: 0.0435 (0.0473) loss_seg: 0.0432 (0.0469) loss_lansim: 0.0286 (0.0342) loss_contra: 0.0003 (0.0024) time: 2.7065 data: 0.0053 max mem: 31630 Epoch: [29] [5150/5278] eta: 0:05:45 lr: 1.4389820864033577e-05 loss: 0.0428 (0.0473) loss_seg: 0.0424 (0.0469) loss_lansim: 0.0281 (0.0342) loss_contra: 0.0003 (0.0024) time: 2.7034 data: 0.0053 max mem: 31630 Epoch: [29] [5160/5278] eta: 0:05:18 lr: 1.4387372991128553e-05 loss: 0.0408 (0.0473) loss_seg: 0.0405 (0.0469) loss_lansim: 0.0281 (0.0342) loss_contra: 0.0004 (0.0024) time: 2.7052 data: 0.0053 max mem: 31630 Epoch: [29] [5170/5278] eta: 0:04:51 lr: 1.4384925071946884e-05 loss: 0.0443 (0.0473) loss_seg: 0.0440 (0.0469) loss_lansim: 0.0285 (0.0342) loss_contra: 0.0004 (0.0024) time: 2.7014 data: 0.0053 max mem: 31630 Epoch: [29] [5180/5278] eta: 0:04:24 lr: 1.4382477106478932e-05 loss: 0.0430 (0.0473) loss_seg: 0.0428 (0.0469) loss_lansim: 0.0272 (0.0342) loss_contra: 0.0003 (0.0024) time: 2.7062 data: 0.0053 max mem: 31630 Epoch: [29] [5190/5278] eta: 0:03:57 lr: 1.4380029094715069e-05 loss: 0.0422 (0.0473) loss_seg: 0.0418 (0.0469) loss_lansim: 0.0272 (0.0342) loss_contra: 0.0003 (0.0024) time: 2.7002 data: 0.0053 max mem: 31630 Epoch: [29] [5200/5278] eta: 0:03:30 lr: 1.4377581036645673e-05 loss: 0.0423 (0.0473) loss_seg: 0.0419 (0.0469) loss_lansim: 0.0272 (0.0342) loss_contra: 0.0002 (0.0024) time: 2.7050 data: 0.0053 max mem: 31630 Epoch: [29] [5210/5278] eta: 0:03:03 lr: 1.4375132932261099e-05 loss: 0.0423 (0.0473) loss_seg: 0.0419 (0.0469) loss_lansim: 0.0269 (0.0341) loss_contra: 0.0002 (0.0024) time: 2.7034 data: 0.0053 max mem: 31630 Epoch: [29] [5220/5278] eta: 0:02:36 lr: 1.4372684781551715e-05 loss: 0.0420 (0.0473) loss_seg: 0.0418 (0.0469) loss_lansim: 0.0269 (0.0341) loss_contra: 0.0002 (0.0024) time: 2.7057 data: 0.0054 max mem: 31630 Epoch: [29] [5230/5278] eta: 0:02:09 lr: 1.4370236584507866e-05 loss: 0.0422 (0.0472) loss_seg: 0.0418 (0.0469) loss_lansim: 0.0268 (0.0341) loss_contra: 0.0002 (0.0024) time: 2.7034 data: 0.0054 max mem: 31630 Epoch: [29] [5240/5278] eta: 0:01:42 lr: 1.4367788341119906e-05 loss: 0.0420 (0.0472) loss_seg: 0.0418 (0.0469) loss_lansim: 0.0269 (0.0341) loss_contra: 0.0002 (0.0024) time: 2.7049 data: 0.0054 max mem: 31630 Epoch: [29] [5250/5278] eta: 0:01:15 lr: 1.4365340051378185e-05 loss: 0.0403 (0.0472) loss_seg: 0.0400 (0.0469) loss_lansim: 0.0268 (0.0341) loss_contra: 0.0002 (0.0024) time: 2.7042 data: 0.0054 max mem: 31630 Epoch: [29] [5260/5278] eta: 0:00:48 lr: 1.4362891715273055e-05 loss: 0.0420 (0.0472) loss_seg: 0.0418 (0.0469) loss_lansim: 0.0268 (0.0341) loss_contra: 0.0002 (0.0024) time: 2.7071 data: 0.0054 max mem: 31630 Epoch: [29] [5270/5278] eta: 0:00:21 lr: 1.436044333279484e-05 loss: 0.0420 (0.0473) loss_seg: 0.0418 (0.0469) loss_lansim: 0.0267 (0.0341) loss_contra: 0.0002 (0.0024) time: 2.7084 data: 0.0054 max mem: 31630 Epoch: [29] Total time: 3:57:40 Test: [ 0/2573] eta: 1:09:32 time: 1.6216 data: 1.4692 max mem: 31630 Test: [ 100/2573] eta: 0:06:17 time: 0.1379 data: 0.0013 max mem: 31630 Test: [ 200/2573] eta: 0:05:50 time: 0.1426 data: 0.0014 max mem: 31630 Test: [ 300/2573] eta: 0:05:28 time: 0.1378 data: 0.0014 max mem: 31630 Test: [ 400/2573] eta: 0:05:11 time: 0.1401 data: 0.0014 max mem: 31630 Test: [ 500/2573] eta: 0:04:56 time: 0.1411 data: 0.0014 max mem: 31630 Test: [ 600/2573] eta: 0:04:41 time: 0.1426 data: 0.0014 max mem: 31630 Test: [ 700/2573] eta: 0:04:28 time: 0.1467 data: 0.0015 max mem: 31630 Test: [ 800/2573] eta: 0:04:14 time: 0.1444 data: 0.0014 max mem: 31630 Test: [ 900/2573] eta: 0:04:00 time: 0.1451 data: 0.0014 max mem: 31630 Test: [1000/2573] eta: 0:03:45 time: 0.1436 data: 0.0015 max mem: 31630 Test: [1100/2573] eta: 0:03:31 time: 0.1429 data: 0.0015 max mem: 31630 Test: [1200/2573] eta: 0:03:17 time: 0.1452 data: 0.0015 max mem: 31630 Test: [1300/2573] eta: 0:03:02 time: 0.1428 data: 0.0015 max mem: 31630 Test: [1400/2573] eta: 0:02:48 time: 0.1384 data: 0.0014 max mem: 31630 Test: [1500/2573] eta: 0:02:33 time: 0.1429 data: 0.0014 max mem: 31630 Test: [1600/2573] eta: 0:02:19 time: 0.1421 data: 0.0014 max mem: 31630 Test: [1700/2573] eta: 0:02:04 time: 0.1429 data: 0.0014 max mem: 31630 Test: [1800/2573] eta: 0:01:50 time: 0.1402 data: 0.0014 max mem: 31630 Test: [1900/2573] eta: 0:01:36 time: 0.1388 data: 0.0014 max mem: 31630 Test: [2000/2573] eta: 0:01:21 time: 0.1388 data: 0.0014 max mem: 31630 Test: [2100/2573] eta: 0:01:07 time: 0.1432 data: 0.0014 max mem: 31630 Test: [2200/2573] eta: 0:00:53 time: 0.1381 data: 0.0014 max mem: 31630 Test: [2300/2573] eta: 0:00:38 time: 0.1432 data: 0.0014 max mem: 31630 Test: [2400/2573] eta: 0:00:24 time: 0.1410 data: 0.0014 max mem: 31630 Test: [2500/2573] eta: 0:00:10 time: 0.1433 data: 0.0014 max mem: 31630 Test: Total time: 0:06:06 Final results: precision@0.5 = 69.08 precision@0.6 = 64.28 precision@0.7 = 58.23 precision@0.8 = 46.96 precision@0.9 = 23.18 overall IoU = 58.33 mean IoU = 60.98 Epoch: [30] [ 0/5278] eta: 6:24:13 lr: 1.4358484593417166e-05 loss: 0.0391 (0.0391) loss_seg: 0.0388 (0.0388) loss_lansim: 0.0226 (0.0226) loss_contra: 0.0001 (0.0001) time: 4.3679 data: 1.3895 max mem: 31630 Epoch: [30] [ 10/5278] eta: 4:10:30 lr: 1.4356036127443059e-05 loss: 0.0385 (0.0412) loss_seg: 0.0383 (0.0409) loss_lansim: 0.0260 (0.0264) loss_contra: 0.0001 (0.0005) time: 2.8532 data: 0.1309 max mem: 31630 Epoch: [30] [ 20/5278] eta: 4:03:46 lr: 1.4353587615068811e-05 loss: 0.0385 (0.0413) loss_seg: 0.0383 (0.0411) loss_lansim: 0.0258 (0.0256) loss_contra: 0.0002 (0.0005) time: 2.7818 data: 0.0708 max mem: 31630 Epoch: [30] [ 30/5278] eta: 4:01:10 lr: 1.4351139056284745e-05 loss: 0.0391 (0.0426) loss_seg: 0.0388 (0.0424) loss_lansim: 0.0259 (0.0263) loss_contra: 0.0002 (0.0009) time: 2.7573 data: 0.0497 max mem: 31630 Epoch: [30] [ 40/5278] eta: 4:00:01 lr: 1.4348690451081187e-05 loss: 0.0397 (0.0418) loss_seg: 0.0394 (0.0416) loss_lansim: 0.0265 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.7494 data: 0.0389 max mem: 31630 Epoch: [30] [ 50/5278] eta: 3:59:20 lr: 1.4346241799448446e-05 loss: 0.0391 (0.0410) loss_seg: 0.0388 (0.0407) loss_lansim: 0.0265 (0.0268) loss_contra: 0.0001 (0.0006) time: 2.7468 data: 0.0323 max mem: 31630 Epoch: [30] [ 60/5278] eta: 3:58:05 lr: 1.434379310137684e-05 loss: 0.0385 (0.0404) loss_seg: 0.0383 (0.0402) loss_lansim: 0.0265 (0.0270) loss_contra: 0.0001 (0.0006) time: 2.7378 data: 0.0279 max mem: 31630 Epoch: [30] [ 70/5278] eta: 3:57:23 lr: 1.4341344356856681e-05 loss: 0.0385 (0.0403) loss_seg: 0.0383 (0.0400) loss_lansim: 0.0265 (0.0269) loss_contra: 0.0001 (0.0006) time: 2.7349 data: 0.0247 max mem: 31630 Epoch: [30] [ 80/5278] eta: 3:56:34 lr: 1.4338895565878279e-05 loss: 0.0385 (0.0405) loss_seg: 0.0383 (0.0402) loss_lansim: 0.0265 (0.0268) loss_contra: 0.0001 (0.0006) time: 2.7308 data: 0.0223 max mem: 31630 Epoch: [30] [ 90/5278] eta: 3:55:40 lr: 1.4336446728431929e-05 loss: 0.0385 (0.0414) loss_seg: 0.0383 (0.0411) loss_lansim: 0.0265 (0.0270) loss_contra: 0.0001 (0.0007) time: 2.7255 data: 0.0205 max mem: 31630 Epoch: [30] [ 100/5278] eta: 3:55:19 lr: 1.4333997844507932e-05 loss: 0.0385 (0.0419) loss_seg: 0.0383 (0.0416) loss_lansim: 0.0262 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.7105 data: 0.0053 max mem: 31630 Epoch: [30] [ 110/5278] eta: 3:54:28 lr: 1.4331548914096582e-05 loss: 0.0383 (0.0426) loss_seg: 0.0381 (0.0423) loss_lansim: 0.0262 (0.0267) loss_contra: 0.0001 (0.0020) time: 2.7079 data: 0.0054 max mem: 31630 Epoch: [30] [ 120/5278] eta: 3:54:10 lr: 1.4329099937188178e-05 loss: 0.0380 (0.0419) loss_seg: 0.0378 (0.0416) loss_lansim: 0.0262 (0.0265) loss_contra: 0.0001 (0.0018) time: 2.7120 data: 0.0055 max mem: 31630 Epoch: [30] [ 130/5278] eta: 3:53:24 lr: 1.4326650913772995e-05 loss: 0.0379 (0.0417) loss_seg: 0.0376 (0.0414) loss_lansim: 0.0262 (0.0265) loss_contra: 0.0001 (0.0020) time: 2.7090 data: 0.0055 max mem: 31630 Epoch: [30] [ 140/5278] eta: 3:52:55 lr: 1.4324201843841322e-05 loss: 0.0378 (0.0415) loss_seg: 0.0375 (0.0412) loss_lansim: 0.0259 (0.0265) loss_contra: 0.0001 (0.0019) time: 2.7080 data: 0.0055 max mem: 31630 Epoch: [30] [ 150/5278] eta: 3:52:20 lr: 1.4321752727383439e-05 loss: 0.0380 (0.0414) loss_seg: 0.0378 (0.0412) loss_lansim: 0.0256 (0.0264) loss_contra: 0.0001 (0.0020) time: 2.7041 data: 0.0055 max mem: 31630 Epoch: [30] [ 160/5278] eta: 3:52:05 lr: 1.4319303564389625e-05 loss: 0.0389 (0.0418) loss_seg: 0.0387 (0.0415) loss_lansim: 0.0255 (0.0263) loss_contra: 0.0002 (0.0019) time: 2.7105 data: 0.0055 max mem: 31630 Epoch: [30] [ 170/5278] eta: 3:51:24 lr: 1.4316854354850143e-05 loss: 0.0393 (0.0421) loss_seg: 0.0390 (0.0418) loss_lansim: 0.0255 (0.0262) loss_contra: 0.0002 (0.0018) time: 2.7062 data: 0.0055 max mem: 31630 Epoch: [30] [ 180/5278] eta: 3:51:05 lr: 1.4314405098755263e-05 loss: 0.0393 (0.0419) loss_seg: 0.0390 (0.0416) loss_lansim: 0.0253 (0.0262) loss_contra: 0.0002 (0.0018) time: 2.7107 data: 0.0055 max mem: 31630 Epoch: [30] [ 190/5278] eta: 3:50:24 lr: 1.4311955796095252e-05 loss: 0.0398 (0.0420) loss_seg: 0.0396 (0.0417) loss_lansim: 0.0255 (0.0263) loss_contra: 0.0002 (0.0017) time: 2.7093 data: 0.0055 max mem: 31630 Epoch: [30] [ 200/5278] eta: 3:50:08 lr: 1.4309506446860374e-05 loss: 0.0393 (0.0420) loss_seg: 0.0390 (0.0417) loss_lansim: 0.0255 (0.0263) loss_contra: 0.0001 (0.0017) time: 2.7116 data: 0.0055 max mem: 31630 Epoch: [30] [ 210/5278] eta: 3:49:35 lr: 1.4307057051040874e-05 loss: 0.0401 (0.0422) loss_seg: 0.0398 (0.0420) loss_lansim: 0.0256 (0.0263) loss_contra: 0.0001 (0.0016) time: 2.7136 data: 0.0054 max mem: 31630 Epoch: [30] [ 220/5278] eta: 3:49:08 lr: 1.4304607608627011e-05 loss: 0.0407 (0.0422) loss_seg: 0.0403 (0.0419) loss_lansim: 0.0256 (0.0262) loss_contra: 0.0002 (0.0017) time: 2.7112 data: 0.0054 max mem: 31630 Epoch: [30] [ 230/5278] eta: 3:48:35 lr: 1.430215811960903e-05 loss: 0.0411 (0.0424) loss_seg: 0.0408 (0.0421) loss_lansim: 0.0255 (0.0262) loss_contra: 0.0002 (0.0017) time: 2.7127 data: 0.0054 max mem: 31630 Epoch: [30] [ 240/5278] eta: 3:48:13 lr: 1.4299708583977179e-05 loss: 0.0420 (0.0433) loss_seg: 0.0417 (0.0430) loss_lansim: 0.0255 (0.0262) loss_contra: 0.0001 (0.0016) time: 2.7155 data: 0.0053 max mem: 31630 Epoch: [30] [ 250/5278] eta: 3:47:38 lr: 1.42972590017217e-05 loss: 0.0423 (0.0435) loss_seg: 0.0421 (0.0432) loss_lansim: 0.0255 (0.0262) loss_contra: 0.0001 (0.0016) time: 2.7133 data: 0.0053 max mem: 31630 Epoch: [30] [ 260/5278] eta: 3:47:13 lr: 1.4294809372832824e-05 loss: 0.0423 (0.0435) loss_seg: 0.0421 (0.0432) loss_lansim: 0.0255 (0.0262) loss_contra: 0.0001 (0.0016) time: 2.7106 data: 0.0054 max mem: 31630 Epoch: [30] [ 270/5278] eta: 3:46:39 lr: 1.4292359697300783e-05 loss: 0.0420 (0.0436) loss_seg: 0.0417 (0.0433) loss_lansim: 0.0255 (0.0262) loss_contra: 0.0001 (0.0016) time: 2.7113 data: 0.0054 max mem: 31630 Epoch: [30] [ 280/5278] eta: 3:46:10 lr: 1.428990997511581e-05 loss: 0.0432 (0.0440) loss_seg: 0.0429 (0.0437) loss_lansim: 0.0253 (0.0262) loss_contra: 0.0002 (0.0016) time: 2.7069 data: 0.0054 max mem: 31630 Epoch: [30] [ 290/5278] eta: 3:45:41 lr: 1.4287460206268132e-05 loss: 0.0436 (0.0440) loss_seg: 0.0433 (0.0437) loss_lansim: 0.0255 (0.0263) loss_contra: 0.0002 (0.0015) time: 2.7104 data: 0.0054 max mem: 31630 Epoch: [30] [ 300/5278] eta: 3:45:08 lr: 1.4285010390747966e-05 loss: 0.0447 (0.0441) loss_seg: 0.0444 (0.0439) loss_lansim: 0.0255 (0.0263) loss_contra: 0.0002 (0.0017) time: 2.7022 data: 0.0055 max mem: 31630 Epoch: [30] [ 310/5278] eta: 3:44:41 lr: 1.4282560528545525e-05 loss: 0.0447 (0.0442) loss_seg: 0.0445 (0.0439) loss_lansim: 0.0255 (0.0263) loss_contra: 0.0002 (0.0018) time: 2.7040 data: 0.0054 max mem: 31630 Epoch: [30] [ 320/5278] eta: 3:44:10 lr: 1.4280110619651027e-05 loss: 0.0457 (0.0443) loss_seg: 0.0453 (0.0440) loss_lansim: 0.0255 (0.0263) loss_contra: 0.0002 (0.0017) time: 2.7013 data: 0.0054 max mem: 31630 Epoch: [30] [ 330/5278] eta: 3:43:40 lr: 1.427766066405469e-05 loss: 0.0435 (0.0440) loss_seg: 0.0432 (0.0437) loss_lansim: 0.0257 (0.0263) loss_contra: 0.0002 (0.0017) time: 2.7012 data: 0.0054 max mem: 31630 Epoch: [30] [ 340/5278] eta: 3:43:10 lr: 1.4275210661746698e-05 loss: 0.0432 (0.0440) loss_seg: 0.0429 (0.0437) loss_lansim: 0.0253 (0.0263) loss_contra: 0.0002 (0.0017) time: 2.6964 data: 0.0054 max mem: 31630 Epoch: [30] [ 350/5278] eta: 3:42:41 lr: 1.427276061271727e-05 loss: 0.0435 (0.0439) loss_seg: 0.0432 (0.0436) loss_lansim: 0.0254 (0.0262) loss_contra: 0.0002 (0.0017) time: 2.6983 data: 0.0055 max mem: 31630 Epoch: [30] [ 360/5278] eta: 3:42:14 lr: 1.4270310516956595e-05 loss: 0.0435 (0.0439) loss_seg: 0.0432 (0.0436) loss_lansim: 0.0254 (0.0262) loss_contra: 0.0002 (0.0016) time: 2.6967 data: 0.0055 max mem: 31630 Epoch: [30] [ 370/5278] eta: 3:41:42 lr: 1.4267860374454875e-05 loss: 0.0434 (0.0440) loss_seg: 0.0432 (0.0437) loss_lansim: 0.0262 (0.0263) loss_contra: 0.0002 (0.0016) time: 2.6963 data: 0.0054 max mem: 31630 Epoch: [30] [ 380/5278] eta: 3:41:15 lr: 1.4265410185202288e-05 loss: 0.0423 (0.0440) loss_seg: 0.0420 (0.0438) loss_lansim: 0.0262 (0.0263) loss_contra: 0.0002 (0.0016) time: 2.6969 data: 0.0054 max mem: 31630 Epoch: [30] [ 390/5278] eta: 3:40:44 lr: 1.4262959949189026e-05 loss: 0.0422 (0.0441) loss_seg: 0.0419 (0.0438) loss_lansim: 0.0260 (0.0263) loss_contra: 0.0002 (0.0016) time: 2.6946 data: 0.0054 max mem: 31630 Epoch: [30] [ 400/5278] eta: 3:40:18 lr: 1.426050966640527e-05 loss: 0.0418 (0.0440) loss_seg: 0.0415 (0.0437) loss_lansim: 0.0260 (0.0263) loss_contra: 0.0002 (0.0016) time: 2.6983 data: 0.0054 max mem: 31630 Epoch: [30] [ 410/5278] eta: 3:39:49 lr: 1.4258059336841204e-05 loss: 0.0418 (0.0439) loss_seg: 0.0415 (0.0436) loss_lansim: 0.0260 (0.0263) loss_contra: 0.0002 (0.0015) time: 2.6965 data: 0.0054 max mem: 31630 Epoch: [30] [ 420/5278] eta: 3:39:20 lr: 1.4255608960486988e-05 loss: 0.0402 (0.0438) loss_seg: 0.0399 (0.0435) loss_lansim: 0.0262 (0.0263) loss_contra: 0.0002 (0.0015) time: 2.6964 data: 0.0054 max mem: 31630 Epoch: [30] [ 430/5278] eta: 3:38:53 lr: 1.4253158537332797e-05 loss: 0.0418 (0.0438) loss_seg: 0.0415 (0.0436) loss_lansim: 0.0262 (0.0263) loss_contra: 0.0003 (0.0015) time: 2.6982 data: 0.0054 max mem: 31630 Epoch: [30] [ 440/5278] eta: 3:38:23 lr: 1.4250708067368804e-05 loss: 0.0415 (0.0438) loss_seg: 0.0413 (0.0435) loss_lansim: 0.0266 (0.0264) loss_contra: 0.0002 (0.0015) time: 2.6971 data: 0.0054 max mem: 31630 Epoch: [30] [ 450/5278] eta: 3:37:56 lr: 1.424825755058517e-05 loss: 0.0415 (0.0440) loss_seg: 0.0412 (0.0437) loss_lansim: 0.0269 (0.0264) loss_contra: 0.0002 (0.0014) time: 2.6983 data: 0.0053 max mem: 31630 Epoch: [30] [ 460/5278] eta: 3:37:26 lr: 1.4245806986972043e-05 loss: 0.0409 (0.0438) loss_seg: 0.0406 (0.0435) loss_lansim: 0.0269 (0.0264) loss_contra: 0.0002 (0.0014) time: 2.6952 data: 0.0053 max mem: 31630 Epoch: [30] [ 470/5278] eta: 3:36:58 lr: 1.4243356376519584e-05 loss: 0.0410 (0.0439) loss_seg: 0.0407 (0.0436) loss_lansim: 0.0266 (0.0264) loss_contra: 0.0002 (0.0014) time: 2.6979 data: 0.0054 max mem: 31630 Epoch: [30] [ 480/5278] eta: 3:36:30 lr: 1.4240905719217942e-05 loss: 0.0419 (0.0440) loss_seg: 0.0416 (0.0437) loss_lansim: 0.0266 (0.0264) loss_contra: 0.0002 (0.0014) time: 2.6961 data: 0.0053 max mem: 31630 Epoch: [30] [ 490/5278] eta: 3:35:59 lr: 1.4238455015057264e-05 loss: 0.0411 (0.0438) loss_seg: 0.0408 (0.0436) loss_lansim: 0.0264 (0.0264) loss_contra: 0.0001 (0.0014) time: 2.6956 data: 0.0053 max mem: 31630 Epoch: [30] [ 500/5278] eta: 3:35:34 lr: 1.4236004264027696e-05 loss: 0.0419 (0.0441) loss_seg: 0.0416 (0.0438) loss_lansim: 0.0262 (0.0264) loss_contra: 0.0002 (0.0013) time: 2.6965 data: 0.0053 max mem: 31630 Epoch: [30] [ 510/5278] eta: 3:35:06 lr: 1.4233553466119368e-05 loss: 0.0421 (0.0443) loss_seg: 0.0418 (0.0440) loss_lansim: 0.0263 (0.0264) loss_contra: 0.0002 (0.0013) time: 2.6964 data: 0.0053 max mem: 31630 Epoch: [30] [ 520/5278] eta: 3:34:35 lr: 1.4231102621322418e-05 loss: 0.0425 (0.0443) loss_seg: 0.0422 (0.0440) loss_lansim: 0.0262 (0.0263) loss_contra: 0.0002 (0.0014) time: 2.6938 data: 0.0053 max mem: 31630 Epoch: [30] [ 530/5278] eta: 3:34:08 lr: 1.4228651729626977e-05 loss: 0.0419 (0.0442) loss_seg: 0.0416 (0.0439) loss_lansim: 0.0262 (0.0263) loss_contra: 0.0002 (0.0015) time: 2.6930 data: 0.0052 max mem: 31630 Epoch: [30] [ 540/5278] eta: 3:33:39 lr: 1.4226200791023176e-05 loss: 0.0419 (0.0441) loss_seg: 0.0416 (0.0438) loss_lansim: 0.0261 (0.0263) loss_contra: 0.0002 (0.0015) time: 2.6938 data: 0.0052 max mem: 31630 Epoch: [30] [ 550/5278] eta: 3:33:13 lr: 1.4223749805501128e-05 loss: 0.0419 (0.0440) loss_seg: 0.0416 (0.0437) loss_lansim: 0.0255 (0.0263) loss_contra: 0.0002 (0.0015) time: 2.6943 data: 0.0052 max mem: 31630 Epoch: [30] [ 560/5278] eta: 3:32:44 lr: 1.4221298773050953e-05 loss: 0.0419 (0.0440) loss_seg: 0.0416 (0.0437) loss_lansim: 0.0255 (0.0263) loss_contra: 0.0002 (0.0016) time: 2.6944 data: 0.0051 max mem: 31630 Epoch: [30] [ 570/5278] eta: 3:32:18 lr: 1.4218847693662767e-05 loss: 0.0417 (0.0439) loss_seg: 0.0414 (0.0436) loss_lansim: 0.0254 (0.0263) loss_contra: 0.0002 (0.0017) time: 2.6961 data: 0.0051 max mem: 31630 Epoch: [30] [ 580/5278] eta: 3:31:50 lr: 1.4216396567326692e-05 loss: 0.0399 (0.0438) loss_seg: 0.0396 (0.0435) loss_lansim: 0.0254 (0.0262) loss_contra: 0.0002 (0.0016) time: 2.6969 data: 0.0051 max mem: 31630 Epoch: [30] [ 590/5278] eta: 3:31:23 lr: 1.4213945394032816e-05 loss: 0.0399 (0.0437) loss_seg: 0.0396 (0.0434) loss_lansim: 0.0254 (0.0262) loss_contra: 0.0002 (0.0017) time: 2.7000 data: 0.0051 max mem: 31630 Epoch: [30] [ 600/5278] eta: 3:30:54 lr: 1.421149417377125e-05 loss: 0.0393 (0.0437) loss_seg: 0.0390 (0.0434) loss_lansim: 0.0254 (0.0262) loss_contra: 0.0002 (0.0017) time: 2.6951 data: 0.0051 max mem: 31630 Epoch: [30] [ 610/5278] eta: 3:30:29 lr: 1.4209042906532091e-05 loss: 0.0387 (0.0437) loss_seg: 0.0385 (0.0434) loss_lansim: 0.0254 (0.0262) loss_contra: 0.0002 (0.0017) time: 2.6983 data: 0.0051 max mem: 31630 Epoch: [30] [ 620/5278] eta: 3:30:01 lr: 1.4206591592305443e-05 loss: 0.0390 (0.0437) loss_seg: 0.0387 (0.0434) loss_lansim: 0.0254 (0.0262) loss_contra: 0.0002 (0.0017) time: 2.7008 data: 0.0051 max mem: 31630 Epoch: [30] [ 630/5278] eta: 3:29:36 lr: 1.420414023108138e-05 loss: 0.0393 (0.0437) loss_seg: 0.0390 (0.0434) loss_lansim: 0.0251 (0.0262) loss_contra: 0.0002 (0.0017) time: 2.7051 data: 0.0052 max mem: 31630 Epoch: [30] [ 640/5278] eta: 3:29:10 lr: 1.4201688822849998e-05 loss: 0.0387 (0.0435) loss_seg: 0.0385 (0.0433) loss_lansim: 0.0251 (0.0261) loss_contra: 0.0002 (0.0017) time: 2.7070 data: 0.0052 max mem: 31630 Epoch: [30] [ 650/5278] eta: 3:28:44 lr: 1.4199237367601378e-05 loss: 0.0387 (0.0435) loss_seg: 0.0384 (0.0432) loss_lansim: 0.0249 (0.0261) loss_contra: 0.0002 (0.0017) time: 2.7082 data: 0.0052 max mem: 31630 Epoch: [30] [ 660/5278] eta: 3:28:17 lr: 1.4196785865325605e-05 loss: 0.0385 (0.0434) loss_seg: 0.0381 (0.0431) loss_lansim: 0.0249 (0.0261) loss_contra: 0.0002 (0.0017) time: 2.7115 data: 0.0052 max mem: 31630 Epoch: [30] [ 670/5278] eta: 3:27:50 lr: 1.4194334316012741e-05 loss: 0.0387 (0.0434) loss_seg: 0.0384 (0.0431) loss_lansim: 0.0247 (0.0261) loss_contra: 0.0002 (0.0017) time: 2.7095 data: 0.0052 max mem: 31630 Epoch: [30] [ 680/5278] eta: 3:27:21 lr: 1.4191882719652863e-05 loss: 0.0387 (0.0433) loss_seg: 0.0384 (0.0430) loss_lansim: 0.0247 (0.0260) loss_contra: 0.0002 (0.0017) time: 2.7069 data: 0.0052 max mem: 31630 Epoch: [30] [ 690/5278] eta: 3:26:55 lr: 1.418943107623604e-05 loss: 0.0387 (0.0433) loss_seg: 0.0384 (0.0430) loss_lansim: 0.0245 (0.0260) loss_contra: 0.0002 (0.0017) time: 2.7092 data: 0.0052 max mem: 31630 Epoch: [30] [ 700/5278] eta: 3:26:25 lr: 1.4186979385752335e-05 loss: 0.0382 (0.0432) loss_seg: 0.0379 (0.0429) loss_lansim: 0.0242 (0.0260) loss_contra: 0.0002 (0.0016) time: 2.7077 data: 0.0052 max mem: 31630 Epoch: [30] [ 710/5278] eta: 3:26:03 lr: 1.4184527648191797e-05 loss: 0.0386 (0.0433) loss_seg: 0.0384 (0.0431) loss_lansim: 0.0241 (0.0259) loss_contra: 0.0002 (0.0016) time: 2.7123 data: 0.0052 max mem: 31630 Epoch: [30] [ 720/5278] eta: 3:25:33 lr: 1.4182075863544488e-05 loss: 0.0386 (0.0433) loss_seg: 0.0384 (0.0430) loss_lansim: 0.0239 (0.0259) loss_contra: 0.0002 (0.0016) time: 2.7094 data: 0.0051 max mem: 31630 Epoch: [30] [ 730/5278] eta: 3:25:05 lr: 1.4179624031800462e-05 loss: 0.0381 (0.0433) loss_seg: 0.0379 (0.0430) loss_lansim: 0.0239 (0.0259) loss_contra: 0.0002 (0.0016) time: 2.7053 data: 0.0051 max mem: 31630 Epoch: [30] [ 740/5278] eta: 3:24:38 lr: 1.4177172152949758e-05 loss: 0.0386 (0.0432) loss_seg: 0.0384 (0.0429) loss_lansim: 0.0239 (0.0259) loss_contra: 0.0002 (0.0016) time: 2.7049 data: 0.0051 max mem: 31630 Epoch: [30] [ 750/5278] eta: 3:24:09 lr: 1.4174720226982427e-05 loss: 0.0386 (0.0432) loss_seg: 0.0384 (0.0429) loss_lansim: 0.0242 (0.0259) loss_contra: 0.0002 (0.0016) time: 2.6996 data: 0.0051 max mem: 31630 Epoch: [30] [ 760/5278] eta: 3:23:43 lr: 1.4172268253888496e-05 loss: 0.0395 (0.0432) loss_seg: 0.0392 (0.0429) loss_lansim: 0.0241 (0.0259) loss_contra: 0.0002 (0.0016) time: 2.6993 data: 0.0051 max mem: 31630 Epoch: [30] [ 770/5278] eta: 3:23:15 lr: 1.4169816233658006e-05 loss: 0.0409 (0.0433) loss_seg: 0.0407 (0.0430) loss_lansim: 0.0242 (0.0259) loss_contra: 0.0001 (0.0016) time: 2.6996 data: 0.0052 max mem: 31630 Epoch: [30] [ 780/5278] eta: 3:22:50 lr: 1.4167364166280988e-05 loss: 0.0410 (0.0433) loss_seg: 0.0407 (0.0430) loss_lansim: 0.0242 (0.0259) loss_contra: 0.0001 (0.0016) time: 2.7055 data: 0.0052 max mem: 31630 Epoch: [30] [ 790/5278] eta: 3:22:23 lr: 1.4164912051747472e-05 loss: 0.0409 (0.0433) loss_seg: 0.0407 (0.0430) loss_lansim: 0.0246 (0.0258) loss_contra: 0.0002 (0.0016) time: 2.7026 data: 0.0052 max mem: 31630 Epoch: [30] [ 800/5278] eta: 3:21:55 lr: 1.4162459890047472e-05 loss: 0.0410 (0.0433) loss_seg: 0.0407 (0.0431) loss_lansim: 0.0247 (0.0258) loss_contra: 0.0002 (0.0016) time: 2.7062 data: 0.0052 max mem: 31630 Epoch: [30] [ 810/5278] eta: 3:21:29 lr: 1.4160007681171012e-05 loss: 0.0412 (0.0434) loss_seg: 0.0409 (0.0431) loss_lansim: 0.0248 (0.0258) loss_contra: 0.0002 (0.0016) time: 2.7010 data: 0.0052 max mem: 31630 Epoch: [30] [ 820/5278] eta: 3:21:01 lr: 1.4157555425108101e-05 loss: 0.0411 (0.0433) loss_seg: 0.0408 (0.0431) loss_lansim: 0.0247 (0.0258) loss_contra: 0.0002 (0.0017) time: 2.7045 data: 0.0053 max mem: 31630 Epoch: [30] [ 830/5278] eta: 3:20:37 lr: 1.4155103121848758e-05 loss: 0.0415 (0.0434) loss_seg: 0.0412 (0.0432) loss_lansim: 0.0246 (0.0258) loss_contra: 0.0002 (0.0017) time: 2.7090 data: 0.0053 max mem: 31630 Epoch: [30] [ 840/5278] eta: 3:20:08 lr: 1.4152650771382984e-05 loss: 0.0416 (0.0435) loss_seg: 0.0413 (0.0432) loss_lansim: 0.0248 (0.0258) loss_contra: 0.0002 (0.0017) time: 2.7066 data: 0.0053 max mem: 31630 Epoch: [30] [ 850/5278] eta: 3:19:43 lr: 1.4150198373700777e-05 loss: 0.0419 (0.0434) loss_seg: 0.0416 (0.0432) loss_lansim: 0.0247 (0.0258) loss_contra: 0.0002 (0.0017) time: 2.7134 data: 0.0052 max mem: 31630 Epoch: [30] [ 860/5278] eta: 3:19:16 lr: 1.4147745928792138e-05 loss: 0.0419 (0.0435) loss_seg: 0.0416 (0.0432) loss_lansim: 0.0247 (0.0257) loss_contra: 0.0002 (0.0017) time: 2.7123 data: 0.0052 max mem: 31630 Epoch: [30] [ 870/5278] eta: 3:18:49 lr: 1.4145293436647069e-05 loss: 0.0415 (0.0435) loss_seg: 0.0412 (0.0432) loss_lansim: 0.0246 (0.0257) loss_contra: 0.0002 (0.0017) time: 2.7125 data: 0.0052 max mem: 31630 Epoch: [30] [ 880/5278] eta: 3:18:21 lr: 1.4142840897255549e-05 loss: 0.0418 (0.0436) loss_seg: 0.0413 (0.0433) loss_lansim: 0.0245 (0.0257) loss_contra: 0.0002 (0.0017) time: 2.7095 data: 0.0051 max mem: 31630 Epoch: [30] [ 890/5278] eta: 3:17:53 lr: 1.414038831060757e-05 loss: 0.0419 (0.0436) loss_seg: 0.0416 (0.0433) loss_lansim: 0.0246 (0.0257) loss_contra: 0.0002 (0.0017) time: 2.7074 data: 0.0052 max mem: 31630 Epoch: [30] [ 900/5278] eta: 3:17:27 lr: 1.4137935676693112e-05 loss: 0.0429 (0.0436) loss_seg: 0.0427 (0.0433) loss_lansim: 0.0245 (0.0257) loss_contra: 0.0002 (0.0018) time: 2.7101 data: 0.0052 max mem: 31630 Epoch: [30] [ 910/5278] eta: 3:16:58 lr: 1.4135482995502159e-05 loss: 0.0414 (0.0435) loss_seg: 0.0410 (0.0432) loss_lansim: 0.0244 (0.0257) loss_contra: 0.0002 (0.0018) time: 2.7057 data: 0.0053 max mem: 31630 Epoch: [30] [ 920/5278] eta: 3:16:33 lr: 1.4133030267024672e-05 loss: 0.0419 (0.0435) loss_seg: 0.0416 (0.0432) loss_lansim: 0.0244 (0.0257) loss_contra: 0.0002 (0.0017) time: 2.7103 data: 0.0053 max mem: 31630 Epoch: [30] [ 930/5278] eta: 3:16:04 lr: 1.4130577491250629e-05 loss: 0.0410 (0.0434) loss_seg: 0.0407 (0.0432) loss_lansim: 0.0242 (0.0257) loss_contra: 0.0003 (0.0017) time: 2.7024 data: 0.0053 max mem: 31630 Epoch: [30] [ 940/5278] eta: 3:15:39 lr: 1.4128124668169996e-05 loss: 0.0402 (0.0434) loss_seg: 0.0400 (0.0431) loss_lansim: 0.0242 (0.0256) loss_contra: 0.0003 (0.0017) time: 2.7081 data: 0.0053 max mem: 31630 Epoch: [30] [ 950/5278] eta: 3:15:11 lr: 1.4125671797772738e-05 loss: 0.0398 (0.0433) loss_seg: 0.0392 (0.0431) loss_lansim: 0.0244 (0.0257) loss_contra: 0.0003 (0.0017) time: 2.7036 data: 0.0054 max mem: 31630 Epoch: [30] [ 960/5278] eta: 3:14:44 lr: 1.4123218880048802e-05 loss: 0.0398 (0.0433) loss_seg: 0.0392 (0.0430) loss_lansim: 0.0242 (0.0256) loss_contra: 0.0003 (0.0017) time: 2.7048 data: 0.0054 max mem: 31630 Epoch: [30] [ 970/5278] eta: 3:14:17 lr: 1.4120765914988152e-05 loss: 0.0391 (0.0432) loss_seg: 0.0388 (0.0430) loss_lansim: 0.0241 (0.0256) loss_contra: 0.0003 (0.0017) time: 2.7040 data: 0.0054 max mem: 31630 Epoch: [30] [ 980/5278] eta: 3:13:51 lr: 1.4118312902580727e-05 loss: 0.0389 (0.0432) loss_seg: 0.0386 (0.0429) loss_lansim: 0.0238 (0.0256) loss_contra: 0.0003 (0.0017) time: 2.7066 data: 0.0054 max mem: 31630 Epoch: [30] [ 990/5278] eta: 3:13:22 lr: 1.4115859842816481e-05 loss: 0.0379 (0.0431) loss_seg: 0.0377 (0.0429) loss_lansim: 0.0238 (0.0256) loss_contra: 0.0003 (0.0017) time: 2.7053 data: 0.0054 max mem: 31630 Epoch: [30] [1000/5278] eta: 3:12:57 lr: 1.4113406735685361e-05 loss: 0.0380 (0.0432) loss_seg: 0.0378 (0.0429) loss_lansim: 0.0239 (0.0256) loss_contra: 0.0003 (0.0017) time: 2.7074 data: 0.0054 max mem: 31630 Epoch: [30] [1010/5278] eta: 3:12:29 lr: 1.4110953581177285e-05 loss: 0.0390 (0.0432) loss_seg: 0.0387 (0.0430) loss_lansim: 0.0239 (0.0256) loss_contra: 0.0003 (0.0017) time: 2.7095 data: 0.0053 max mem: 31630 Epoch: [30] [1020/5278] eta: 3:12:02 lr: 1.4108500379282203e-05 loss: 0.0390 (0.0432) loss_seg: 0.0387 (0.0430) loss_lansim: 0.0240 (0.0256) loss_contra: 0.0002 (0.0016) time: 2.7059 data: 0.0053 max mem: 31630 Epoch: [30] [1030/5278] eta: 3:11:36 lr: 1.4106047129990035e-05 loss: 0.0389 (0.0432) loss_seg: 0.0387 (0.0429) loss_lansim: 0.0240 (0.0255) loss_contra: 0.0002 (0.0016) time: 2.7108 data: 0.0053 max mem: 31630 Epoch: [30] [1040/5278] eta: 3:11:09 lr: 1.4103593833290716e-05 loss: 0.0408 (0.0433) loss_seg: 0.0406 (0.0430) loss_lansim: 0.0243 (0.0255) loss_contra: 0.0002 (0.0017) time: 2.7081 data: 0.0053 max mem: 31630 Epoch: [30] [1050/5278] eta: 3:10:40 lr: 1.4101140489174154e-05 loss: 0.0412 (0.0433) loss_seg: 0.0410 (0.0431) loss_lansim: 0.0240 (0.0255) loss_contra: 0.0001 (0.0017) time: 2.7059 data: 0.0053 max mem: 31630 Epoch: [30] [1060/5278] eta: 3:10:13 lr: 1.409868709763027e-05 loss: 0.0412 (0.0434) loss_seg: 0.0410 (0.0431) loss_lansim: 0.0244 (0.0255) loss_contra: 0.0001 (0.0017) time: 2.7054 data: 0.0053 max mem: 31630 Epoch: [30] [1070/5278] eta: 3:09:46 lr: 1.4096233658648977e-05 loss: 0.0406 (0.0433) loss_seg: 0.0403 (0.0430) loss_lansim: 0.0242 (0.0255) loss_contra: 0.0001 (0.0016) time: 2.7046 data: 0.0053 max mem: 31630 Epoch: [30] [1080/5278] eta: 3:09:20 lr: 1.4093780172220195e-05 loss: 0.0408 (0.0433) loss_seg: 0.0406 (0.0430) loss_lansim: 0.0244 (0.0255) loss_contra: 0.0001 (0.0016) time: 2.7056 data: 0.0053 max mem: 31630 Epoch: [30] [1090/5278] eta: 3:08:52 lr: 1.4091326638333814e-05 loss: 0.0409 (0.0433) loss_seg: 0.0406 (0.0430) loss_lansim: 0.0244 (0.0255) loss_contra: 0.0001 (0.0016) time: 2.7075 data: 0.0053 max mem: 31630 Epoch: [30] [1100/5278] eta: 3:08:25 lr: 1.4088873056979735e-05 loss: 0.0406 (0.0433) loss_seg: 0.0403 (0.0430) loss_lansim: 0.0241 (0.0254) loss_contra: 0.0001 (0.0016) time: 2.7042 data: 0.0053 max mem: 31630 Epoch: [30] [1110/5278] eta: 3:07:58 lr: 1.408641942814786e-05 loss: 0.0396 (0.0433) loss_seg: 0.0393 (0.0430) loss_lansim: 0.0241 (0.0254) loss_contra: 0.0001 (0.0017) time: 2.7032 data: 0.0053 max mem: 31630 Epoch: [30] [1120/5278] eta: 3:07:31 lr: 1.4083965751828084e-05 loss: 0.0393 (0.0432) loss_seg: 0.0391 (0.0430) loss_lansim: 0.0240 (0.0254) loss_contra: 0.0001 (0.0017) time: 2.7046 data: 0.0053 max mem: 31630 Epoch: [30] [1130/5278] eta: 3:07:03 lr: 1.4081512028010285e-05 loss: 0.0394 (0.0433) loss_seg: 0.0392 (0.0430) loss_lansim: 0.0242 (0.0254) loss_contra: 0.0001 (0.0017) time: 2.7005 data: 0.0053 max mem: 31630 Epoch: [30] [1140/5278] eta: 3:06:36 lr: 1.4079058256684352e-05 loss: 0.0385 (0.0432) loss_seg: 0.0383 (0.0430) loss_lansim: 0.0241 (0.0254) loss_contra: 0.0001 (0.0017) time: 2.7004 data: 0.0053 max mem: 31630 Epoch: [30] [1150/5278] eta: 3:06:08 lr: 1.4076604437840168e-05 loss: 0.0388 (0.0433) loss_seg: 0.0385 (0.0430) loss_lansim: 0.0241 (0.0254) loss_contra: 0.0001 (0.0017) time: 2.7018 data: 0.0053 max mem: 31630 Epoch: [30] [1160/5278] eta: 3:05:42 lr: 1.407415057146761e-05 loss: 0.0381 (0.0433) loss_seg: 0.0379 (0.0430) loss_lansim: 0.0239 (0.0254) loss_contra: 0.0001 (0.0017) time: 2.7023 data: 0.0053 max mem: 31630 Epoch: [30] [1170/5278] eta: 3:05:15 lr: 1.407169665755654e-05 loss: 0.0396 (0.0433) loss_seg: 0.0394 (0.0430) loss_lansim: 0.0240 (0.0254) loss_contra: 0.0002 (0.0017) time: 2.7053 data: 0.0053 max mem: 31630 Epoch: [30] [1180/5278] eta: 3:04:47 lr: 1.4069242696096832e-05 loss: 0.0392 (0.0433) loss_seg: 0.0390 (0.0430) loss_lansim: 0.0240 (0.0254) loss_contra: 0.0002 (0.0017) time: 2.6993 data: 0.0053 max mem: 31630 Epoch: [30] [1190/5278] eta: 3:04:20 lr: 1.4066788687078347e-05 loss: 0.0398 (0.0433) loss_seg: 0.0395 (0.0431) loss_lansim: 0.0239 (0.0254) loss_contra: 0.0002 (0.0017) time: 2.7001 data: 0.0054 max mem: 31630 Epoch: [30] [1200/5278] eta: 3:03:52 lr: 1.4064334630490953e-05 loss: 0.0396 (0.0433) loss_seg: 0.0394 (0.0430) loss_lansim: 0.0239 (0.0254) loss_contra: 0.0002 (0.0017) time: 2.6972 data: 0.0054 max mem: 31630 Epoch: [30] [1210/5278] eta: 3:03:25 lr: 1.4061880526324491e-05 loss: 0.0398 (0.0433) loss_seg: 0.0395 (0.0430) loss_lansim: 0.0240 (0.0254) loss_contra: 0.0002 (0.0017) time: 2.6999 data: 0.0054 max mem: 31630 Epoch: [30] [1220/5278] eta: 3:02:57 lr: 1.405942637456882e-05 loss: 0.0412 (0.0433) loss_seg: 0.0410 (0.0430) loss_lansim: 0.0238 (0.0253) loss_contra: 0.0002 (0.0016) time: 2.6960 data: 0.0055 max mem: 31630 Epoch: [30] [1230/5278] eta: 3:02:30 lr: 1.4056972175213784e-05 loss: 0.0410 (0.0433) loss_seg: 0.0407 (0.0431) loss_lansim: 0.0237 (0.0253) loss_contra: 0.0002 (0.0018) time: 2.6997 data: 0.0055 max mem: 31630 Epoch: [30] [1240/5278] eta: 3:02:03 lr: 1.405451792824923e-05 loss: 0.0410 (0.0433) loss_seg: 0.0407 (0.0430) loss_lansim: 0.0232 (0.0253) loss_contra: 0.0002 (0.0017) time: 2.6973 data: 0.0056 max mem: 31630 Epoch: [30] [1250/5278] eta: 3:01:34 lr: 1.4052063633664996e-05 loss: 0.0406 (0.0433) loss_seg: 0.0404 (0.0431) loss_lansim: 0.0231 (0.0253) loss_contra: 0.0002 (0.0018) time: 2.6950 data: 0.0056 max mem: 31630 Epoch: [30] [1260/5278] eta: 3:01:07 lr: 1.4049609291450913e-05 loss: 0.0395 (0.0433) loss_seg: 0.0393 (0.0430) loss_lansim: 0.0234 (0.0253) loss_contra: 0.0002 (0.0018) time: 2.6945 data: 0.0056 max mem: 31630 Epoch: [30] [1270/5278] eta: 3:00:40 lr: 1.404715490159681e-05 loss: 0.0397 (0.0433) loss_seg: 0.0395 (0.0430) loss_lansim: 0.0231 (0.0253) loss_contra: 0.0002 (0.0018) time: 2.6914 data: 0.0056 max mem: 31630 Epoch: [30] [1280/5278] eta: 3:00:12 lr: 1.4044700464092518e-05 loss: 0.0414 (0.0434) loss_seg: 0.0412 (0.0431) loss_lansim: 0.0235 (0.0253) loss_contra: 0.0002 (0.0019) time: 2.6924 data: 0.0056 max mem: 31630 Epoch: [30] [1290/5278] eta: 2:59:46 lr: 1.404224597892786e-05 loss: 0.0398 (0.0434) loss_seg: 0.0396 (0.0431) loss_lansim: 0.0235 (0.0253) loss_contra: 0.0002 (0.0019) time: 2.6965 data: 0.0056 max mem: 31630 Epoch: [30] [1300/5278] eta: 2:59:18 lr: 1.4039791446092645e-05 loss: 0.0417 (0.0434) loss_seg: 0.0415 (0.0431) loss_lansim: 0.0237 (0.0253) loss_contra: 0.0002 (0.0019) time: 2.6958 data: 0.0056 max mem: 31630 Epoch: [30] [1310/5278] eta: 2:58:51 lr: 1.4037336865576694e-05 loss: 0.0417 (0.0434) loss_seg: 0.0415 (0.0431) loss_lansim: 0.0235 (0.0253) loss_contra: 0.0003 (0.0021) time: 2.6948 data: 0.0056 max mem: 31630 Epoch: [30] [1320/5278] eta: 2:58:23 lr: 1.4034882237369815e-05 loss: 0.0396 (0.0433) loss_seg: 0.0393 (0.0431) loss_lansim: 0.0244 (0.0253) loss_contra: 0.0002 (0.0021) time: 2.6941 data: 0.0056 max mem: 31630 Epoch: [30] [1330/5278] eta: 2:57:57 lr: 1.403242756146182e-05 loss: 0.0407 (0.0433) loss_seg: 0.0404 (0.0431) loss_lansim: 0.0243 (0.0253) loss_contra: 0.0002 (0.0021) time: 2.6953 data: 0.0056 max mem: 31630 Epoch: [30] [1340/5278] eta: 2:57:30 lr: 1.4029972837842495e-05 loss: 0.0407 (0.0433) loss_seg: 0.0404 (0.0430) loss_lansim: 0.0244 (0.0253) loss_contra: 0.0002 (0.0021) time: 2.6960 data: 0.0056 max mem: 31630 Epoch: [30] [1350/5278] eta: 2:57:01 lr: 1.4027518066501646e-05 loss: 0.0398 (0.0436) loss_seg: 0.0395 (0.0433) loss_lansim: 0.0245 (0.0252) loss_contra: 0.0002 (0.0021) time: 2.6953 data: 0.0056 max mem: 31630 Epoch: [30] [1360/5278] eta: 2:56:35 lr: 1.4025063247429069e-05 loss: 0.0416 (0.0436) loss_seg: 0.0414 (0.0433) loss_lansim: 0.0246 (0.0252) loss_contra: 0.0002 (0.0021) time: 2.6994 data: 0.0056 max mem: 31630 Epoch: [30] [1370/5278] eta: 2:56:08 lr: 1.4022608380614548e-05 loss: 0.0410 (0.0436) loss_seg: 0.0408 (0.0434) loss_lansim: 0.0248 (0.0252) loss_contra: 0.0002 (0.0021) time: 2.7002 data: 0.0057 max mem: 31630 Epoch: [30] [1380/5278] eta: 2:55:41 lr: 1.402015346604787e-05 loss: 0.0407 (0.0436) loss_seg: 0.0404 (0.0434) loss_lansim: 0.0247 (0.0253) loss_contra: 0.0002 (0.0021) time: 2.7033 data: 0.0056 max mem: 31630 Epoch: [30] [1390/5278] eta: 2:55:15 lr: 1.4017698503718809e-05 loss: 0.0410 (0.0437) loss_seg: 0.0408 (0.0434) loss_lansim: 0.0248 (0.0253) loss_contra: 0.0002 (0.0021) time: 2.7023 data: 0.0056 max mem: 31630 Epoch: [30] [1400/5278] eta: 2:54:48 lr: 1.401524349361715e-05 loss: 0.0407 (0.0437) loss_seg: 0.0404 (0.0434) loss_lansim: 0.0249 (0.0253) loss_contra: 0.0002 (0.0021) time: 2.7052 data: 0.0056 max mem: 31630 Epoch: [30] [1410/5278] eta: 2:54:22 lr: 1.4012788435732665e-05 loss: 0.0399 (0.0437) loss_seg: 0.0396 (0.0434) loss_lansim: 0.0249 (0.0253) loss_contra: 0.0002 (0.0021) time: 2.7086 data: 0.0056 max mem: 31630 Epoch: [30] [1420/5278] eta: 2:53:54 lr: 1.4010333330055115e-05 loss: 0.0407 (0.0437) loss_seg: 0.0404 (0.0434) loss_lansim: 0.0248 (0.0253) loss_contra: 0.0003 (0.0021) time: 2.7102 data: 0.0055 max mem: 31630 Epoch: [30] [1430/5278] eta: 2:53:29 lr: 1.4007878176574264e-05 loss: 0.0416 (0.0438) loss_seg: 0.0414 (0.0435) loss_lansim: 0.0249 (0.0253) loss_contra: 0.0003 (0.0021) time: 2.7130 data: 0.0055 max mem: 31630 Epoch: [30] [1440/5278] eta: 2:53:01 lr: 1.4005422975279871e-05 loss: 0.0416 (0.0438) loss_seg: 0.0414 (0.0435) loss_lansim: 0.0249 (0.0253) loss_contra: 0.0003 (0.0021) time: 2.7133 data: 0.0054 max mem: 31630 Epoch: [30] [1450/5278] eta: 2:52:34 lr: 1.4002967726161706e-05 loss: 0.0414 (0.0438) loss_seg: 0.0411 (0.0436) loss_lansim: 0.0253 (0.0253) loss_contra: 0.0002 (0.0021) time: 2.7179 data: 0.0054 max mem: 31630 Epoch: [30] [1460/5278] eta: 2:52:07 lr: 1.4000512429209501e-05 loss: 0.0414 (0.0438) loss_seg: 0.0411 (0.0436) loss_lansim: 0.0257 (0.0253) loss_contra: 0.0002 (0.0021) time: 2.7113 data: 0.0054 max mem: 31630 Epoch: [30] [1470/5278] eta: 2:51:40 lr: 1.3998057084413011e-05 loss: 0.0418 (0.0439) loss_seg: 0.0415 (0.0436) loss_lansim: 0.0258 (0.0253) loss_contra: 0.0002 (0.0021) time: 2.7129 data: 0.0053 max mem: 31630 Epoch: [30] [1480/5278] eta: 2:51:12 lr: 1.3995601691761975e-05 loss: 0.0418 (0.0439) loss_seg: 0.0415 (0.0436) loss_lansim: 0.0259 (0.0253) loss_contra: 0.0002 (0.0021) time: 2.7096 data: 0.0053 max mem: 31630 Epoch: [30] [1490/5278] eta: 2:50:46 lr: 1.399314625124614e-05 loss: 0.0414 (0.0439) loss_seg: 0.0412 (0.0436) loss_lansim: 0.0259 (0.0253) loss_contra: 0.0002 (0.0020) time: 2.7092 data: 0.0053 max mem: 31630 Epoch: [30] [1500/5278] eta: 2:50:18 lr: 1.3990690762855235e-05 loss: 0.0418 (0.0439) loss_seg: 0.0415 (0.0436) loss_lansim: 0.0261 (0.0253) loss_contra: 0.0002 (0.0020) time: 2.7065 data: 0.0053 max mem: 31630 Epoch: [30] [1510/5278] eta: 2:49:51 lr: 1.398823522657899e-05 loss: 0.0426 (0.0439) loss_seg: 0.0424 (0.0437) loss_lansim: 0.0261 (0.0253) loss_contra: 0.0002 (0.0020) time: 2.7012 data: 0.0053 max mem: 31630 Epoch: [30] [1520/5278] eta: 2:49:24 lr: 1.3985779642407124e-05 loss: 0.0424 (0.0439) loss_seg: 0.0421 (0.0436) loss_lansim: 0.0264 (0.0253) loss_contra: 0.0002 (0.0020) time: 2.7034 data: 0.0053 max mem: 31630 Epoch: [30] [1530/5278] eta: 2:48:57 lr: 1.3983324010329371e-05 loss: 0.0414 (0.0438) loss_seg: 0.0412 (0.0435) loss_lansim: 0.0262 (0.0253) loss_contra: 0.0002 (0.0020) time: 2.7000 data: 0.0054 max mem: 31630 Epoch: [30] [1540/5278] eta: 2:48:30 lr: 1.3980868330335444e-05 loss: 0.0411 (0.0438) loss_seg: 0.0408 (0.0435) loss_lansim: 0.0258 (0.0253) loss_contra: 0.0002 (0.0020) time: 2.6998 data: 0.0055 max mem: 31630 Epoch: [30] [1550/5278] eta: 2:48:03 lr: 1.3978412602415056e-05 loss: 0.0403 (0.0437) loss_seg: 0.0401 (0.0435) loss_lansim: 0.0258 (0.0253) loss_contra: 0.0002 (0.0020) time: 2.7013 data: 0.0055 max mem: 31630 Epoch: [30] [1560/5278] eta: 2:47:35 lr: 1.3975956826557909e-05 loss: 0.0404 (0.0438) loss_seg: 0.0402 (0.0435) loss_lansim: 0.0255 (0.0253) loss_contra: 0.0002 (0.0020) time: 2.7003 data: 0.0056 max mem: 31630 Epoch: [30] [1570/5278] eta: 2:47:08 lr: 1.397350100275372e-05 loss: 0.0385 (0.0437) loss_seg: 0.0383 (0.0435) loss_lansim: 0.0251 (0.0253) loss_contra: 0.0002 (0.0020) time: 2.6989 data: 0.0056 max mem: 31630 Epoch: [30] [1580/5278] eta: 2:46:41 lr: 1.3971045130992184e-05 loss: 0.0392 (0.0437) loss_seg: 0.0389 (0.0435) loss_lansim: 0.0248 (0.0253) loss_contra: 0.0002 (0.0020) time: 2.6998 data: 0.0056 max mem: 31630 Epoch: [30] [1590/5278] eta: 2:46:13 lr: 1.3968589211262994e-05 loss: 0.0392 (0.0437) loss_seg: 0.0389 (0.0434) loss_lansim: 0.0249 (0.0253) loss_contra: 0.0002 (0.0020) time: 2.6969 data: 0.0056 max mem: 31630 Epoch: [30] [1600/5278] eta: 2:45:46 lr: 1.3966133243555845e-05 loss: 0.0385 (0.0437) loss_seg: 0.0383 (0.0434) loss_lansim: 0.0247 (0.0253) loss_contra: 0.0002 (0.0020) time: 2.6978 data: 0.0057 max mem: 31630 Epoch: [30] [1610/5278] eta: 2:45:19 lr: 1.3963677227860425e-05 loss: 0.0381 (0.0437) loss_seg: 0.0378 (0.0434) loss_lansim: 0.0249 (0.0253) loss_contra: 0.0002 (0.0020) time: 2.7001 data: 0.0057 max mem: 31630 Epoch: [30] [1620/5278] eta: 2:44:52 lr: 1.3961221164166422e-05 loss: 0.0381 (0.0437) loss_seg: 0.0378 (0.0434) loss_lansim: 0.0249 (0.0253) loss_contra: 0.0002 (0.0020) time: 2.7001 data: 0.0057 max mem: 31630 Epoch: [30] [1630/5278] eta: 2:44:25 lr: 1.3958765052463507e-05 loss: 0.0381 (0.0437) loss_seg: 0.0379 (0.0434) loss_lansim: 0.0251 (0.0253) loss_contra: 0.0002 (0.0020) time: 2.6992 data: 0.0056 max mem: 31630 Epoch: [30] [1640/5278] eta: 2:43:58 lr: 1.395630889274136e-05 loss: 0.0383 (0.0438) loss_seg: 0.0381 (0.0435) loss_lansim: 0.0255 (0.0254) loss_contra: 0.0001 (0.0020) time: 2.6996 data: 0.0056 max mem: 31630 Epoch: [30] [1650/5278] eta: 2:43:31 lr: 1.3953852684989648e-05 loss: 0.0388 (0.0437) loss_seg: 0.0386 (0.0434) loss_lansim: 0.0255 (0.0254) loss_contra: 0.0001 (0.0020) time: 2.6992 data: 0.0056 max mem: 31630 Epoch: [30] [1660/5278] eta: 2:43:04 lr: 1.3951396429198053e-05 loss: 0.0391 (0.0437) loss_seg: 0.0388 (0.0434) loss_lansim: 0.0260 (0.0254) loss_contra: 0.0001 (0.0020) time: 2.7037 data: 0.0057 max mem: 31630 Epoch: [30] [1670/5278] eta: 2:42:37 lr: 1.3948940125356213e-05 loss: 0.0391 (0.0437) loss_seg: 0.0388 (0.0434) loss_lansim: 0.0261 (0.0254) loss_contra: 0.0001 (0.0020) time: 2.7020 data: 0.0056 max mem: 31630 Epoch: [30] [1680/5278] eta: 2:42:10 lr: 1.3946483773453804e-05 loss: 0.0397 (0.0440) loss_seg: 0.0395 (0.0437) loss_lansim: 0.0265 (0.0254) loss_contra: 0.0002 (0.0020) time: 2.7044 data: 0.0057 max mem: 31630 Epoch: [30] [1690/5278] eta: 2:41:42 lr: 1.3944027373480473e-05 loss: 0.0407 (0.0440) loss_seg: 0.0404 (0.0437) loss_lansim: 0.0265 (0.0254) loss_contra: 0.0002 (0.0020) time: 2.7024 data: 0.0057 max mem: 31630 Epoch: [30] [1700/5278] eta: 2:41:16 lr: 1.3941570925425875e-05 loss: 0.0405 (0.0439) loss_seg: 0.0402 (0.0437) loss_lansim: 0.0265 (0.0254) loss_contra: 0.0001 (0.0020) time: 2.7055 data: 0.0057 max mem: 31630 Epoch: [30] [1710/5278] eta: 2:40:49 lr: 1.3939114429279649e-05 loss: 0.0408 (0.0439) loss_seg: 0.0405 (0.0437) loss_lansim: 0.0265 (0.0254) loss_contra: 0.0002 (0.0020) time: 2.7048 data: 0.0057 max mem: 31630 Epoch: [30] [1720/5278] eta: 2:40:22 lr: 1.3936657885031437e-05 loss: 0.0411 (0.0440) loss_seg: 0.0407 (0.0437) loss_lansim: 0.0267 (0.0254) loss_contra: 0.0002 (0.0020) time: 2.7073 data: 0.0057 max mem: 31630 Epoch: [30] [1730/5278] eta: 2:39:55 lr: 1.3934201292670878e-05 loss: 0.0414 (0.0440) loss_seg: 0.0411 (0.0437) loss_lansim: 0.0269 (0.0254) loss_contra: 0.0002 (0.0020) time: 2.7044 data: 0.0057 max mem: 31630 Epoch: [30] [1740/5278] eta: 2:39:29 lr: 1.3931744652187608e-05 loss: 0.0416 (0.0440) loss_seg: 0.0413 (0.0437) loss_lansim: 0.0270 (0.0255) loss_contra: 0.0003 (0.0020) time: 2.7108 data: 0.0057 max mem: 31630 Epoch: [30] [1750/5278] eta: 2:39:01 lr: 1.3929287963571255e-05 loss: 0.0424 (0.0440) loss_seg: 0.0420 (0.0437) loss_lansim: 0.0272 (0.0255) loss_contra: 0.0002 (0.0020) time: 2.7068 data: 0.0057 max mem: 31630 Epoch: [30] [1760/5278] eta: 2:38:35 lr: 1.3926831226811437e-05 loss: 0.0427 (0.0440) loss_seg: 0.0424 (0.0437) loss_lansim: 0.0276 (0.0255) loss_contra: 0.0002 (0.0020) time: 2.7101 data: 0.0057 max mem: 31630 Epoch: [30] [1770/5278] eta: 2:38:07 lr: 1.3924374441897775e-05 loss: 0.0433 (0.0440) loss_seg: 0.0430 (0.0437) loss_lansim: 0.0270 (0.0255) loss_contra: 0.0002 (0.0019) time: 2.7087 data: 0.0056 max mem: 31630 Epoch: [30] [1780/5278] eta: 2:37:41 lr: 1.3921917608819887e-05 loss: 0.0427 (0.0440) loss_seg: 0.0424 (0.0437) loss_lansim: 0.0272 (0.0255) loss_contra: 0.0002 (0.0019) time: 2.7105 data: 0.0056 max mem: 31630 Epoch: [30] [1790/5278] eta: 2:37:13 lr: 1.391946072756739e-05 loss: 0.0411 (0.0440) loss_seg: 0.0409 (0.0437) loss_lansim: 0.0270 (0.0255) loss_contra: 0.0002 (0.0019) time: 2.7114 data: 0.0055 max mem: 31630 Epoch: [30] [1800/5278] eta: 2:36:47 lr: 1.3917003798129882e-05 loss: 0.0412 (0.0440) loss_seg: 0.0409 (0.0437) loss_lansim: 0.0269 (0.0255) loss_contra: 0.0002 (0.0019) time: 2.7137 data: 0.0055 max mem: 31630 Epoch: [30] [1810/5278] eta: 2:36:19 lr: 1.3914546820496965e-05 loss: 0.0413 (0.0440) loss_seg: 0.0411 (0.0437) loss_lansim: 0.0269 (0.0255) loss_contra: 0.0003 (0.0019) time: 2.7106 data: 0.0055 max mem: 31630 Epoch: [30] [1820/5278] eta: 2:35:53 lr: 1.3912089794658246e-05 loss: 0.0415 (0.0440) loss_seg: 0.0411 (0.0437) loss_lansim: 0.0269 (0.0255) loss_contra: 0.0002 (0.0019) time: 2.7078 data: 0.0055 max mem: 31630 Epoch: [30] [1830/5278] eta: 2:35:26 lr: 1.3909632720603316e-05 loss: 0.0415 (0.0440) loss_seg: 0.0411 (0.0437) loss_lansim: 0.0263 (0.0255) loss_contra: 0.0002 (0.0019) time: 2.7125 data: 0.0056 max mem: 31630 Epoch: [30] [1840/5278] eta: 2:34:59 lr: 1.3907175598321761e-05 loss: 0.0406 (0.0439) loss_seg: 0.0404 (0.0436) loss_lansim: 0.0262 (0.0255) loss_contra: 0.0002 (0.0019) time: 2.7053 data: 0.0056 max mem: 31630 Epoch: [30] [1850/5278] eta: 2:34:32 lr: 1.3904718427803169e-05 loss: 0.0410 (0.0440) loss_seg: 0.0407 (0.0437) loss_lansim: 0.0262 (0.0255) loss_contra: 0.0002 (0.0019) time: 2.7085 data: 0.0056 max mem: 31630 Epoch: [30] [1860/5278] eta: 2:34:04 lr: 1.3902261209037119e-05 loss: 0.0412 (0.0441) loss_seg: 0.0409 (0.0438) loss_lansim: 0.0262 (0.0255) loss_contra: 0.0002 (0.0020) time: 2.7001 data: 0.0056 max mem: 31630 Epoch: [30] [1870/5278] eta: 2:33:37 lr: 1.3899803942013198e-05 loss: 0.0413 (0.0441) loss_seg: 0.0411 (0.0438) loss_lansim: 0.0262 (0.0255) loss_contra: 0.0002 (0.0020) time: 2.7050 data: 0.0056 max mem: 31630 Epoch: [30] [1880/5278] eta: 2:33:09 lr: 1.3897346626720968e-05 loss: 0.0410 (0.0441) loss_seg: 0.0407 (0.0438) loss_lansim: 0.0258 (0.0256) loss_contra: 0.0002 (0.0020) time: 2.6971 data: 0.0056 max mem: 31630 Epoch: [30] [1890/5278] eta: 2:32:42 lr: 1.3894889263149995e-05 loss: 0.0415 (0.0441) loss_seg: 0.0411 (0.0438) loss_lansim: 0.0258 (0.0256) loss_contra: 0.0002 (0.0020) time: 2.6985 data: 0.0056 max mem: 31630 Epoch: [30] [1900/5278] eta: 2:32:15 lr: 1.3892431851289853e-05 loss: 0.0415 (0.0441) loss_seg: 0.0411 (0.0438) loss_lansim: 0.0258 (0.0256) loss_contra: 0.0002 (0.0021) time: 2.6937 data: 0.0056 max mem: 31630 Epoch: [30] [1910/5278] eta: 2:31:48 lr: 1.3889974391130103e-05 loss: 0.0412 (0.0441) loss_seg: 0.0408 (0.0438) loss_lansim: 0.0256 (0.0256) loss_contra: 0.0002 (0.0021) time: 2.6977 data: 0.0056 max mem: 31630 Epoch: [30] [1920/5278] eta: 2:31:21 lr: 1.3887516882660287e-05 loss: 0.0412 (0.0441) loss_seg: 0.0408 (0.0438) loss_lansim: 0.0256 (0.0256) loss_contra: 0.0003 (0.0021) time: 2.6980 data: 0.0056 max mem: 31630 Epoch: [30] [1930/5278] eta: 2:30:55 lr: 1.3885059325869968e-05 loss: 0.0412 (0.0442) loss_seg: 0.0408 (0.0439) loss_lansim: 0.0256 (0.0256) loss_contra: 0.0003 (0.0022) time: 2.7000 data: 0.0056 max mem: 31630 Epoch: [30] [1940/5278] eta: 2:30:28 lr: 1.3882601720748686e-05 loss: 0.0425 (0.0442) loss_seg: 0.0423 (0.0439) loss_lansim: 0.0257 (0.0256) loss_contra: 0.0003 (0.0021) time: 2.7031 data: 0.0056 max mem: 31630 Epoch: [30] [1950/5278] eta: 2:30:01 lr: 1.3880144067285988e-05 loss: 0.0425 (0.0442) loss_seg: 0.0423 (0.0439) loss_lansim: 0.0258 (0.0256) loss_contra: 0.0003 (0.0021) time: 2.7069 data: 0.0056 max mem: 31630 Epoch: [30] [1960/5278] eta: 2:29:34 lr: 1.3877686365471418e-05 loss: 0.0431 (0.0442) loss_seg: 0.0428 (0.0439) loss_lansim: 0.0258 (0.0256) loss_contra: 0.0003 (0.0021) time: 2.7081 data: 0.0056 max mem: 31630 Epoch: [30] [1970/5278] eta: 2:29:07 lr: 1.3875228615294496e-05 loss: 0.0424 (0.0442) loss_seg: 0.0421 (0.0439) loss_lansim: 0.0256 (0.0256) loss_contra: 0.0003 (0.0021) time: 2.7070 data: 0.0056 max mem: 31630 Epoch: [30] [1980/5278] eta: 2:28:40 lr: 1.387277081674476e-05 loss: 0.0425 (0.0442) loss_seg: 0.0423 (0.0439) loss_lansim: 0.0255 (0.0256) loss_contra: 0.0003 (0.0021) time: 2.7103 data: 0.0056 max mem: 31630 Epoch: [30] [1990/5278] eta: 2:28:13 lr: 1.3870312969811733e-05 loss: 0.0430 (0.0442) loss_seg: 0.0427 (0.0439) loss_lansim: 0.0253 (0.0256) loss_contra: 0.0003 (0.0021) time: 2.7133 data: 0.0057 max mem: 31630 Epoch: [30] [2000/5278] eta: 2:27:46 lr: 1.3867855074484942e-05 loss: 0.0425 (0.0442) loss_seg: 0.0423 (0.0439) loss_lansim: 0.0255 (0.0256) loss_contra: 0.0003 (0.0021) time: 2.7138 data: 0.0056 max mem: 31630 Epoch: [30] [2010/5278] eta: 2:27:19 lr: 1.386539713075389e-05 loss: 0.0426 (0.0442) loss_seg: 0.0423 (0.0439) loss_lansim: 0.0253 (0.0256) loss_contra: 0.0003 (0.0022) time: 2.7169 data: 0.0057 max mem: 31630 Epoch: [30] [2020/5278] eta: 2:26:52 lr: 1.3862939138608103e-05 loss: 0.0421 (0.0442) loss_seg: 0.0418 (0.0439) loss_lansim: 0.0253 (0.0256) loss_contra: 0.0003 (0.0022) time: 2.7135 data: 0.0057 max mem: 31630 Epoch: [30] [2030/5278] eta: 2:26:25 lr: 1.3860481098037081e-05 loss: 0.0426 (0.0442) loss_seg: 0.0423 (0.0440) loss_lansim: 0.0255 (0.0256) loss_contra: 0.0003 (0.0023) time: 2.7107 data: 0.0057 max mem: 31630 Epoch: [30] [2040/5278] eta: 2:25:58 lr: 1.3858023009030335e-05 loss: 0.0422 (0.0442) loss_seg: 0.0419 (0.0439) loss_lansim: 0.0255 (0.0256) loss_contra: 0.0003 (0.0023) time: 2.7060 data: 0.0057 max mem: 31630 Epoch: [30] [2050/5278] eta: 2:25:30 lr: 1.3855564871577353e-05 loss: 0.0421 (0.0442) loss_seg: 0.0418 (0.0439) loss_lansim: 0.0256 (0.0256) loss_contra: 0.0003 (0.0023) time: 2.6996 data: 0.0057 max mem: 31630 Epoch: [30] [2060/5278] eta: 2:25:03 lr: 1.3853106685667639e-05 loss: 0.0405 (0.0442) loss_seg: 0.0402 (0.0439) loss_lansim: 0.0256 (0.0256) loss_contra: 0.0003 (0.0023) time: 2.7043 data: 0.0057 max mem: 31630 Epoch: [30] [2070/5278] eta: 2:24:36 lr: 1.385064845129068e-05 loss: 0.0417 (0.0442) loss_seg: 0.0414 (0.0439) loss_lansim: 0.0257 (0.0256) loss_contra: 0.0003 (0.0023) time: 2.7039 data: 0.0058 max mem: 31630 Epoch: [30] [2080/5278] eta: 2:24:09 lr: 1.3848190168435968e-05 loss: 0.0419 (0.0442) loss_seg: 0.0416 (0.0439) loss_lansim: 0.0263 (0.0256) loss_contra: 0.0003 (0.0023) time: 2.7069 data: 0.0058 max mem: 31630 Epoch: [30] [2090/5278] eta: 2:23:42 lr: 1.3845731837092973e-05 loss: 0.0419 (0.0443) loss_seg: 0.0416 (0.0440) loss_lansim: 0.0264 (0.0256) loss_contra: 0.0003 (0.0023) time: 2.7027 data: 0.0059 max mem: 31630 Epoch: [30] [2100/5278] eta: 2:23:15 lr: 1.384327345725118e-05 loss: 0.0433 (0.0443) loss_seg: 0.0430 (0.0440) loss_lansim: 0.0268 (0.0256) loss_contra: 0.0002 (0.0024) time: 2.7041 data: 0.0059 max mem: 31630 Epoch: [30] [2110/5278] eta: 2:22:48 lr: 1.3840815028900062e-05 loss: 0.0433 (0.0443) loss_seg: 0.0430 (0.0440) loss_lansim: 0.0266 (0.0256) loss_contra: 0.0002 (0.0024) time: 2.6967 data: 0.0059 max mem: 31630 Epoch: [30] [2120/5278] eta: 2:22:21 lr: 1.3838356552029094e-05 loss: 0.0448 (0.0443) loss_seg: 0.0446 (0.0440) loss_lansim: 0.0269 (0.0256) loss_contra: 0.0002 (0.0024) time: 2.7015 data: 0.0059 max mem: 31630 Epoch: [30] [2130/5278] eta: 2:21:54 lr: 1.3835898026627724e-05 loss: 0.0443 (0.0443) loss_seg: 0.0441 (0.0440) loss_lansim: 0.0269 (0.0256) loss_contra: 0.0002 (0.0024) time: 2.6982 data: 0.0059 max mem: 31630 Epoch: [30] [2140/5278] eta: 2:21:27 lr: 1.3833439452685426e-05 loss: 0.0444 (0.0443) loss_seg: 0.0441 (0.0441) loss_lansim: 0.0270 (0.0257) loss_contra: 0.0003 (0.0024) time: 2.7039 data: 0.0059 max mem: 31630 Epoch: [30] [2150/5278] eta: 2:21:00 lr: 1.3830980830191647e-05 loss: 0.0441 (0.0443) loss_seg: 0.0438 (0.0440) loss_lansim: 0.0269 (0.0257) loss_contra: 0.0003 (0.0024) time: 2.7040 data: 0.0059 max mem: 31630 Epoch: [30] [2160/5278] eta: 2:20:33 lr: 1.382852215913585e-05 loss: 0.0439 (0.0443) loss_seg: 0.0437 (0.0440) loss_lansim: 0.0264 (0.0257) loss_contra: 0.0002 (0.0024) time: 2.7057 data: 0.0059 max mem: 31630 Epoch: [30] [2170/5278] eta: 2:20:05 lr: 1.3826063439507472e-05 loss: 0.0441 (0.0443) loss_seg: 0.0438 (0.0440) loss_lansim: 0.0263 (0.0257) loss_contra: 0.0003 (0.0024) time: 2.7019 data: 0.0059 max mem: 31630 Epoch: [30] [2180/5278] eta: 2:19:38 lr: 1.3823604671295954e-05 loss: 0.0435 (0.0443) loss_seg: 0.0432 (0.0440) loss_lansim: 0.0263 (0.0257) loss_contra: 0.0003 (0.0024) time: 2.7008 data: 0.0058 max mem: 31630 Epoch: [30] [2190/5278] eta: 2:19:11 lr: 1.3821145854490739e-05 loss: 0.0412 (0.0442) loss_seg: 0.0409 (0.0440) loss_lansim: 0.0262 (0.0257) loss_contra: 0.0003 (0.0024) time: 2.7015 data: 0.0058 max mem: 31630 Epoch: [30] [2200/5278] eta: 2:18:44 lr: 1.3818686989081259e-05 loss: 0.0403 (0.0442) loss_seg: 0.0400 (0.0440) loss_lansim: 0.0258 (0.0257) loss_contra: 0.0003 (0.0024) time: 2.7022 data: 0.0057 max mem: 31630 Epoch: [30] [2210/5278] eta: 2:18:17 lr: 1.381622807505695e-05 loss: 0.0410 (0.0443) loss_seg: 0.0407 (0.0440) loss_lansim: 0.0258 (0.0257) loss_contra: 0.0003 (0.0024) time: 2.7035 data: 0.0056 max mem: 31630 Epoch: [30] [2220/5278] eta: 2:17:50 lr: 1.3813769112407227e-05 loss: 0.0400 (0.0442) loss_seg: 0.0396 (0.0439) loss_lansim: 0.0257 (0.0257) loss_contra: 0.0003 (0.0025) time: 2.7031 data: 0.0056 max mem: 31630 Epoch: [30] [2230/5278] eta: 2:17:23 lr: 1.3811310101121514e-05 loss: 0.0398 (0.0443) loss_seg: 0.0395 (0.0440) loss_lansim: 0.0256 (0.0257) loss_contra: 0.0003 (0.0025) time: 2.7004 data: 0.0056 max mem: 31630 Epoch: [30] [2240/5278] eta: 2:16:56 lr: 1.3808851041189225e-05 loss: 0.0397 (0.0442) loss_seg: 0.0394 (0.0440) loss_lansim: 0.0255 (0.0257) loss_contra: 0.0003 (0.0025) time: 2.6986 data: 0.0056 max mem: 31630 Epoch: [30] [2250/5278] eta: 2:16:28 lr: 1.3806391932599783e-05 loss: 0.0398 (0.0443) loss_seg: 0.0395 (0.0440) loss_lansim: 0.0253 (0.0257) loss_contra: 0.0003 (0.0025) time: 2.6959 data: 0.0056 max mem: 31630 Epoch: [30] [2260/5278] eta: 2:16:01 lr: 1.3803932775342582e-05 loss: 0.0400 (0.0443) loss_seg: 0.0398 (0.0440) loss_lansim: 0.0253 (0.0256) loss_contra: 0.0003 (0.0025) time: 2.6910 data: 0.0055 max mem: 31630 Epoch: [30] [2270/5278] eta: 2:15:33 lr: 1.3801473569407027e-05 loss: 0.0400 (0.0442) loss_seg: 0.0398 (0.0440) loss_lansim: 0.0252 (0.0256) loss_contra: 0.0002 (0.0025) time: 2.6912 data: 0.0055 max mem: 31630 Epoch: [30] [2280/5278] eta: 2:15:06 lr: 1.3799014314782523e-05 loss: 0.0396 (0.0442) loss_seg: 0.0393 (0.0439) loss_lansim: 0.0250 (0.0256) loss_contra: 0.0002 (0.0025) time: 2.6869 data: 0.0055 max mem: 31630 Epoch: [30] [2290/5278] eta: 2:14:39 lr: 1.3796555011458465e-05 loss: 0.0404 (0.0443) loss_seg: 0.0401 (0.0440) loss_lansim: 0.0248 (0.0256) loss_contra: 0.0001 (0.0025) time: 2.6895 data: 0.0055 max mem: 31630 Epoch: [30] [2300/5278] eta: 2:14:11 lr: 1.3794095659424233e-05 loss: 0.0397 (0.0443) loss_seg: 0.0395 (0.0440) loss_lansim: 0.0248 (0.0256) loss_contra: 0.0001 (0.0025) time: 2.6851 data: 0.0054 max mem: 31630 Epoch: [30] [2310/5278] eta: 2:13:44 lr: 1.3791636258669219e-05 loss: 0.0396 (0.0443) loss_seg: 0.0393 (0.0440) loss_lansim: 0.0248 (0.0256) loss_contra: 0.0001 (0.0025) time: 2.6876 data: 0.0054 max mem: 31630 Epoch: [30] [2320/5278] eta: 2:13:17 lr: 1.37891768091828e-05 loss: 0.0410 (0.0443) loss_seg: 0.0408 (0.0440) loss_lansim: 0.0248 (0.0256) loss_contra: 0.0001 (0.0025) time: 2.6815 data: 0.0054 max mem: 31630 Epoch: [30] [2330/5278] eta: 2:12:49 lr: 1.3786717310954365e-05 loss: 0.0412 (0.0443) loss_seg: 0.0408 (0.0440) loss_lansim: 0.0248 (0.0256) loss_contra: 0.0001 (0.0025) time: 2.6837 data: 0.0054 max mem: 31630 Epoch: [30] [2340/5278] eta: 2:12:22 lr: 1.3784257763973266e-05 loss: 0.0413 (0.0443) loss_seg: 0.0410 (0.0440) loss_lansim: 0.0246 (0.0256) loss_contra: 0.0001 (0.0025) time: 2.6800 data: 0.0053 max mem: 31630 Epoch: [30] [2350/5278] eta: 2:11:55 lr: 1.3781798168228885e-05 loss: 0.0413 (0.0443) loss_seg: 0.0410 (0.0440) loss_lansim: 0.0248 (0.0256) loss_contra: 0.0001 (0.0025) time: 2.6847 data: 0.0053 max mem: 31630 Epoch: [30] [2360/5278] eta: 2:11:28 lr: 1.3779338523710577e-05 loss: 0.0413 (0.0442) loss_seg: 0.0410 (0.0440) loss_lansim: 0.0249 (0.0256) loss_contra: 0.0001 (0.0025) time: 2.6862 data: 0.0053 max mem: 31630 Epoch: [30] [2370/5278] eta: 2:11:01 lr: 1.3776878830407713e-05 loss: 0.0413 (0.0443) loss_seg: 0.0410 (0.0440) loss_lansim: 0.0249 (0.0256) loss_contra: 0.0001 (0.0025) time: 2.6890 data: 0.0054 max mem: 31630 Epoch: [30] [2380/5278] eta: 2:10:34 lr: 1.3774419088309638e-05 loss: 0.0414 (0.0445) loss_seg: 0.0412 (0.0442) loss_lansim: 0.0250 (0.0256) loss_contra: 0.0001 (0.0025) time: 2.6967 data: 0.0055 max mem: 31630 Epoch: [30] [2390/5278] eta: 2:10:08 lr: 1.3771959297405698e-05 loss: 0.0413 (0.0445) loss_seg: 0.0410 (0.0442) loss_lansim: 0.0250 (0.0256) loss_contra: 0.0001 (0.0025) time: 2.6989 data: 0.0055 max mem: 31630 Epoch: [30] [2400/5278] eta: 2:09:41 lr: 1.3769499457685246e-05 loss: 0.0422 (0.0445) loss_seg: 0.0420 (0.0443) loss_lansim: 0.0250 (0.0256) loss_contra: 0.0001 (0.0025) time: 2.7036 data: 0.0056 max mem: 31630 Epoch: [30] [2410/5278] eta: 2:09:14 lr: 1.3767039569137625e-05 loss: 0.0413 (0.0445) loss_seg: 0.0411 (0.0442) loss_lansim: 0.0249 (0.0256) loss_contra: 0.0001 (0.0025) time: 2.7054 data: 0.0056 max mem: 31630 Epoch: [30] [2420/5278] eta: 2:08:47 lr: 1.3764579631752164e-05 loss: 0.0410 (0.0445) loss_seg: 0.0407 (0.0442) loss_lansim: 0.0252 (0.0256) loss_contra: 0.0001 (0.0025) time: 2.7092 data: 0.0056 max mem: 31630 Epoch: [30] [2430/5278] eta: 2:08:20 lr: 1.3762119645518195e-05 loss: 0.0410 (0.0445) loss_seg: 0.0407 (0.0442) loss_lansim: 0.0250 (0.0256) loss_contra: 0.0001 (0.0025) time: 2.7148 data: 0.0057 max mem: 31630 Epoch: [30] [2440/5278] eta: 2:07:53 lr: 1.3759659610425055e-05 loss: 0.0413 (0.0445) loss_seg: 0.0410 (0.0442) loss_lansim: 0.0253 (0.0256) loss_contra: 0.0001 (0.0025) time: 2.7177 data: 0.0057 max mem: 31630 Epoch: [30] [2450/5278] eta: 2:07:27 lr: 1.3757199526462058e-05 loss: 0.0396 (0.0445) loss_seg: 0.0393 (0.0442) loss_lansim: 0.0253 (0.0256) loss_contra: 0.0001 (0.0025) time: 2.7216 data: 0.0058 max mem: 31630 Epoch: [30] [2460/5278] eta: 2:07:00 lr: 1.3754739393618532e-05 loss: 0.0399 (0.0445) loss_seg: 0.0396 (0.0442) loss_lansim: 0.0255 (0.0256) loss_contra: 0.0002 (0.0025) time: 2.7201 data: 0.0058 max mem: 31630 Epoch: [30] [2470/5278] eta: 2:06:33 lr: 1.3752279211883782e-05 loss: 0.0396 (0.0445) loss_seg: 0.0394 (0.0442) loss_lansim: 0.0255 (0.0256) loss_contra: 0.0002 (0.0025) time: 2.7219 data: 0.0057 max mem: 31630 Epoch: [30] [2480/5278] eta: 2:06:06 lr: 1.374981898124712e-05 loss: 0.0396 (0.0445) loss_seg: 0.0393 (0.0442) loss_lansim: 0.0255 (0.0256) loss_contra: 0.0002 (0.0025) time: 2.7175 data: 0.0056 max mem: 31630 Epoch: [30] [2490/5278] eta: 2:05:39 lr: 1.3747358701697855e-05 loss: 0.0396 (0.0445) loss_seg: 0.0394 (0.0443) loss_lansim: 0.0253 (0.0256) loss_contra: 0.0002 (0.0025) time: 2.7165 data: 0.0055 max mem: 31630 Epoch: [30] [2500/5278] eta: 2:05:12 lr: 1.3744898373225292e-05 loss: 0.0395 (0.0445) loss_seg: 0.0392 (0.0443) loss_lansim: 0.0252 (0.0256) loss_contra: 0.0002 (0.0025) time: 2.7154 data: 0.0055 max mem: 31630 Epoch: [30] [2510/5278] eta: 2:04:45 lr: 1.3742437995818713e-05 loss: 0.0407 (0.0445) loss_seg: 0.0404 (0.0443) loss_lansim: 0.0251 (0.0256) loss_contra: 0.0002 (0.0025) time: 2.7124 data: 0.0055 max mem: 31630 Epoch: [30] [2520/5278] eta: 2:04:17 lr: 1.373997756946742e-05 loss: 0.0417 (0.0445) loss_seg: 0.0414 (0.0443) loss_lansim: 0.0251 (0.0256) loss_contra: 0.0002 (0.0025) time: 2.7054 data: 0.0056 max mem: 31630 Epoch: [30] [2530/5278] eta: 2:03:49 lr: 1.37375170941607e-05 loss: 0.0416 (0.0446) loss_seg: 0.0414 (0.0443) loss_lansim: 0.0249 (0.0256) loss_contra: 0.0002 (0.0025) time: 2.6940 data: 0.0055 max mem: 31630 Epoch: [30] [2540/5278] eta: 2:03:21 lr: 1.373505656988784e-05 loss: 0.0422 (0.0446) loss_seg: 0.0419 (0.0443) loss_lansim: 0.0247 (0.0256) loss_contra: 0.0002 (0.0025) time: 2.6859 data: 0.0055 max mem: 31630 Epoch: [30] [2550/5278] eta: 2:02:53 lr: 1.3732595996638111e-05 loss: 0.0431 (0.0446) loss_seg: 0.0427 (0.0443) loss_lansim: 0.0245 (0.0256) loss_contra: 0.0002 (0.0025) time: 2.6743 data: 0.0055 max mem: 31630 Epoch: [30] [2560/5278] eta: 2:02:25 lr: 1.3730135374400787e-05 loss: 0.0427 (0.0446) loss_seg: 0.0425 (0.0443) loss_lansim: 0.0243 (0.0256) loss_contra: 0.0002 (0.0025) time: 2.6672 data: 0.0055 max mem: 31630 Epoch: [30] [2570/5278] eta: 2:01:57 lr: 1.3727674703165144e-05 loss: 0.0427 (0.0446) loss_seg: 0.0425 (0.0443) loss_lansim: 0.0241 (0.0256) loss_contra: 0.0002 (0.0025) time: 2.6577 data: 0.0055 max mem: 31630 Epoch: [30] [2580/5278] eta: 2:01:30 lr: 1.3725213982920445e-05 loss: 0.0431 (0.0446) loss_seg: 0.0427 (0.0443) loss_lansim: 0.0241 (0.0256) loss_contra: 0.0002 (0.0024) time: 2.6505 data: 0.0055 max mem: 31630 Epoch: [30] [2590/5278] eta: 2:01:02 lr: 1.3722753213655945e-05 loss: 0.0427 (0.0446) loss_seg: 0.0425 (0.0443) loss_lansim: 0.0240 (0.0256) loss_contra: 0.0002 (0.0024) time: 2.6400 data: 0.0055 max mem: 31630 Epoch: [30] [2600/5278] eta: 2:00:34 lr: 1.3720292395360907e-05 loss: 0.0413 (0.0446) loss_seg: 0.0410 (0.0443) loss_lansim: 0.0240 (0.0256) loss_contra: 0.0002 (0.0024) time: 2.6312 data: 0.0055 max mem: 31630 Epoch: [30] [2610/5278] eta: 2:00:06 lr: 1.3717831528024577e-05 loss: 0.0408 (0.0446) loss_seg: 0.0405 (0.0443) loss_lansim: 0.0240 (0.0256) loss_contra: 0.0002 (0.0024) time: 2.6232 data: 0.0055 max mem: 31630 Epoch: [30] [2620/5278] eta: 1:59:38 lr: 1.3715370611636213e-05 loss: 0.0401 (0.0445) loss_seg: 0.0398 (0.0443) loss_lansim: 0.0240 (0.0256) loss_contra: 0.0002 (0.0025) time: 2.6227 data: 0.0054 max mem: 31630 Epoch: [30] [2630/5278] eta: 1:59:11 lr: 1.3712909646185044e-05 loss: 0.0401 (0.0446) loss_seg: 0.0398 (0.0443) loss_lansim: 0.0240 (0.0256) loss_contra: 0.0002 (0.0025) time: 2.6230 data: 0.0054 max mem: 31630 Epoch: [30] [2640/5278] eta: 1:58:43 lr: 1.3710448631660314e-05 loss: 0.0389 (0.0446) loss_seg: 0.0386 (0.0443) loss_lansim: 0.0239 (0.0256) loss_contra: 0.0002 (0.0025) time: 2.6239 data: 0.0055 max mem: 31630 Epoch: [30] [2650/5278] eta: 1:58:15 lr: 1.3707987568051256e-05 loss: 0.0388 (0.0446) loss_seg: 0.0385 (0.0443) loss_lansim: 0.0240 (0.0256) loss_contra: 0.0002 (0.0024) time: 2.6242 data: 0.0055 max mem: 31630 Epoch: [30] [2660/5278] eta: 1:57:48 lr: 1.3705526455347107e-05 loss: 0.0388 (0.0446) loss_seg: 0.0386 (0.0443) loss_lansim: 0.0241 (0.0256) loss_contra: 0.0002 (0.0024) time: 2.6273 data: 0.0055 max mem: 31630 Epoch: [30] [2670/5278] eta: 1:57:21 lr: 1.3703065293537076e-05 loss: 0.0388 (0.0446) loss_seg: 0.0385 (0.0443) loss_lansim: 0.0245 (0.0256) loss_contra: 0.0002 (0.0024) time: 2.6369 data: 0.0055 max mem: 31630 Epoch: [30] [2680/5278] eta: 1:56:54 lr: 1.3700604082610393e-05 loss: 0.0397 (0.0446) loss_seg: 0.0395 (0.0443) loss_lansim: 0.0246 (0.0256) loss_contra: 0.0002 (0.0024) time: 2.6439 data: 0.0055 max mem: 31630 Epoch: [30] [2690/5278] eta: 1:56:27 lr: 1.3698142822556274e-05 loss: 0.0400 (0.0446) loss_seg: 0.0397 (0.0443) loss_lansim: 0.0250 (0.0256) loss_contra: 0.0002 (0.0024) time: 2.6496 data: 0.0055 max mem: 31630 Epoch: [30] [2700/5278] eta: 1:56:00 lr: 1.3695681513363926e-05 loss: 0.0398 (0.0446) loss_seg: 0.0396 (0.0443) loss_lansim: 0.0250 (0.0256) loss_contra: 0.0001 (0.0024) time: 2.6589 data: 0.0055 max mem: 31630 Epoch: [30] [2710/5278] eta: 1:55:33 lr: 1.3693220155022563e-05 loss: 0.0398 (0.0446) loss_seg: 0.0396 (0.0443) loss_lansim: 0.0250 (0.0256) loss_contra: 0.0001 (0.0024) time: 2.6648 data: 0.0055 max mem: 31630 Epoch: [30] [2720/5278] eta: 1:55:06 lr: 1.3690758747521378e-05 loss: 0.0413 (0.0446) loss_seg: 0.0410 (0.0443) loss_lansim: 0.0250 (0.0256) loss_contra: 0.0001 (0.0024) time: 2.6724 data: 0.0055 max mem: 31630 Epoch: [30] [2730/5278] eta: 1:54:38 lr: 1.3688297290849572e-05 loss: 0.0400 (0.0446) loss_seg: 0.0397 (0.0443) loss_lansim: 0.0250 (0.0256) loss_contra: 0.0001 (0.0024) time: 2.6792 data: 0.0055 max mem: 31630 Epoch: [30] [2740/5278] eta: 1:54:11 lr: 1.3685835784996337e-05 loss: 0.0400 (0.0446) loss_seg: 0.0397 (0.0444) loss_lansim: 0.0250 (0.0256) loss_contra: 0.0001 (0.0024) time: 2.6835 data: 0.0054 max mem: 31630 Epoch: [30] [2750/5278] eta: 1:53:44 lr: 1.3683374229950869e-05 loss: 0.0400 (0.0446) loss_seg: 0.0398 (0.0443) loss_lansim: 0.0248 (0.0255) loss_contra: 0.0001 (0.0024) time: 2.6911 data: 0.0054 max mem: 31630 Epoch: [30] [2760/5278] eta: 1:53:17 lr: 1.3680912625702341e-05 loss: 0.0400 (0.0446) loss_seg: 0.0397 (0.0443) loss_lansim: 0.0246 (0.0255) loss_contra: 0.0002 (0.0024) time: 2.6931 data: 0.0054 max mem: 31630 Epoch: [30] [2770/5278] eta: 1:52:50 lr: 1.3678450972239934e-05 loss: 0.0400 (0.0446) loss_seg: 0.0397 (0.0443) loss_lansim: 0.0242 (0.0255) loss_contra: 0.0001 (0.0024) time: 2.6943 data: 0.0054 max mem: 31630 Epoch: [30] [2780/5278] eta: 1:52:23 lr: 1.3675989269552827e-05 loss: 0.0384 (0.0446) loss_seg: 0.0381 (0.0443) loss_lansim: 0.0242 (0.0255) loss_contra: 0.0002 (0.0024) time: 2.6932 data: 0.0054 max mem: 31630 Epoch: [30] [2790/5278] eta: 1:51:56 lr: 1.3673527517630197e-05 loss: 0.0383 (0.0446) loss_seg: 0.0380 (0.0443) loss_lansim: 0.0241 (0.0255) loss_contra: 0.0002 (0.0024) time: 2.6943 data: 0.0054 max mem: 31630 Epoch: [30] [2800/5278] eta: 1:51:29 lr: 1.3671065716461193e-05 loss: 0.0386 (0.0446) loss_seg: 0.0384 (0.0443) loss_lansim: 0.0241 (0.0255) loss_contra: 0.0002 (0.0024) time: 2.6930 data: 0.0055 max mem: 31630 Epoch: [30] [2810/5278] eta: 1:51:02 lr: 1.3668603866034984e-05 loss: 0.0384 (0.0445) loss_seg: 0.0381 (0.0443) loss_lansim: 0.0242 (0.0255) loss_contra: 0.0002 (0.0024) time: 2.6925 data: 0.0055 max mem: 31630 Epoch: [30] [2820/5278] eta: 1:50:35 lr: 1.366614196634073e-05 loss: 0.0386 (0.0445) loss_seg: 0.0384 (0.0442) loss_lansim: 0.0244 (0.0255) loss_contra: 0.0002 (0.0024) time: 2.6959 data: 0.0055 max mem: 31630 Epoch: [30] [2830/5278] eta: 1:50:08 lr: 1.3663680017367583e-05 loss: 0.0388 (0.0445) loss_seg: 0.0385 (0.0442) loss_lansim: 0.0244 (0.0255) loss_contra: 0.0002 (0.0024) time: 2.6963 data: 0.0054 max mem: 31630 Epoch: [30] [2840/5278] eta: 1:49:41 lr: 1.3661218019104686e-05 loss: 0.0388 (0.0445) loss_seg: 0.0385 (0.0442) loss_lansim: 0.0246 (0.0255) loss_contra: 0.0002 (0.0024) time: 2.7005 data: 0.0054 max mem: 31630 Epoch: [30] [2850/5278] eta: 1:49:14 lr: 1.3658755971541182e-05 loss: 0.0386 (0.0445) loss_seg: 0.0384 (0.0442) loss_lansim: 0.0247 (0.0255) loss_contra: 0.0002 (0.0024) time: 2.6977 data: 0.0054 max mem: 31630 Epoch: [30] [2860/5278] eta: 1:48:47 lr: 1.3656293874666209e-05 loss: 0.0386 (0.0445) loss_seg: 0.0384 (0.0442) loss_lansim: 0.0247 (0.0255) loss_contra: 0.0002 (0.0024) time: 2.7011 data: 0.0054 max mem: 31630 Epoch: [30] [2870/5278] eta: 1:48:20 lr: 1.365383172846891e-05 loss: 0.0397 (0.0444) loss_seg: 0.0394 (0.0442) loss_lansim: 0.0248 (0.0255) loss_contra: 0.0002 (0.0024) time: 2.6945 data: 0.0054 max mem: 31630 Epoch: [30] [2880/5278] eta: 1:47:53 lr: 1.3651369532938402e-05 loss: 0.0403 (0.0444) loss_seg: 0.0401 (0.0442) loss_lansim: 0.0248 (0.0255) loss_contra: 0.0001 (0.0024) time: 2.6973 data: 0.0053 max mem: 31630 Epoch: [30] [2890/5278] eta: 1:47:26 lr: 1.3648907288063811e-05 loss: 0.0403 (0.0444) loss_seg: 0.0400 (0.0442) loss_lansim: 0.0248 (0.0255) loss_contra: 0.0001 (0.0024) time: 2.6966 data: 0.0053 max mem: 31630 Epoch: [30] [2900/5278] eta: 1:46:59 lr: 1.3646444993834264e-05 loss: 0.0402 (0.0444) loss_seg: 0.0399 (0.0441) loss_lansim: 0.0248 (0.0255) loss_contra: 0.0001 (0.0024) time: 2.6969 data: 0.0053 max mem: 31630 Epoch: [30] [2910/5278] eta: 1:46:32 lr: 1.3643982650238878e-05 loss: 0.0403 (0.0444) loss_seg: 0.0401 (0.0441) loss_lansim: 0.0248 (0.0255) loss_contra: 0.0001 (0.0023) time: 2.7015 data: 0.0053 max mem: 31630 Epoch: [30] [2920/5278] eta: 1:46:05 lr: 1.3641520257266755e-05 loss: 0.0397 (0.0444) loss_seg: 0.0394 (0.0441) loss_lansim: 0.0248 (0.0255) loss_contra: 0.0002 (0.0023) time: 2.6942 data: 0.0053 max mem: 31630 Epoch: [30] [2930/5278] eta: 1:45:38 lr: 1.3639057814907002e-05 loss: 0.0402 (0.0444) loss_seg: 0.0399 (0.0441) loss_lansim: 0.0249 (0.0255) loss_contra: 0.0002 (0.0023) time: 2.6955 data: 0.0053 max mem: 31630 Epoch: [30] [2940/5278] eta: 1:45:11 lr: 1.3636595323148726e-05 loss: 0.0397 (0.0444) loss_seg: 0.0394 (0.0441) loss_lansim: 0.0248 (0.0255) loss_contra: 0.0001 (0.0023) time: 2.6937 data: 0.0053 max mem: 31630 Epoch: [30] [2950/5278] eta: 1:44:44 lr: 1.3634132781981022e-05 loss: 0.0403 (0.0445) loss_seg: 0.0401 (0.0442) loss_lansim: 0.0248 (0.0255) loss_contra: 0.0001 (0.0023) time: 2.6942 data: 0.0053 max mem: 31630 Epoch: [30] [2960/5278] eta: 1:44:17 lr: 1.3631670191392986e-05 loss: 0.0407 (0.0444) loss_seg: 0.0405 (0.0442) loss_lansim: 0.0249 (0.0255) loss_contra: 0.0001 (0.0023) time: 2.6941 data: 0.0053 max mem: 31630 Epoch: [30] [2970/5278] eta: 1:43:50 lr: 1.3629207551373699e-05 loss: 0.0407 (0.0444) loss_seg: 0.0404 (0.0441) loss_lansim: 0.0248 (0.0255) loss_contra: 0.0001 (0.0023) time: 2.6941 data: 0.0053 max mem: 31630 Epoch: [30] [2980/5278] eta: 1:43:23 lr: 1.3626744861912246e-05 loss: 0.0407 (0.0444) loss_seg: 0.0404 (0.0441) loss_lansim: 0.0247 (0.0255) loss_contra: 0.0001 (0.0023) time: 2.6954 data: 0.0053 max mem: 31630 Epoch: [30] [2990/5278] eta: 1:42:56 lr: 1.3624282122997709e-05 loss: 0.0407 (0.0444) loss_seg: 0.0405 (0.0441) loss_lansim: 0.0245 (0.0255) loss_contra: 0.0001 (0.0023) time: 2.6938 data: 0.0053 max mem: 31630 Epoch: [30] [3000/5278] eta: 1:42:29 lr: 1.3621819334619166e-05 loss: 0.0407 (0.0444) loss_seg: 0.0405 (0.0441) loss_lansim: 0.0244 (0.0255) loss_contra: 0.0001 (0.0023) time: 2.6957 data: 0.0053 max mem: 31630 Epoch: [30] [3010/5278] eta: 1:42:01 lr: 1.3619356496765676e-05 loss: 0.0407 (0.0444) loss_seg: 0.0405 (0.0441) loss_lansim: 0.0245 (0.0255) loss_contra: 0.0001 (0.0023) time: 2.6897 data: 0.0053 max mem: 31630 Epoch: [30] [3020/5278] eta: 1:41:35 lr: 1.3616893609426307e-05 loss: 0.0407 (0.0444) loss_seg: 0.0405 (0.0441) loss_lansim: 0.0246 (0.0255) loss_contra: 0.0001 (0.0023) time: 2.6962 data: 0.0054 max mem: 31630 Epoch: [30] [3030/5278] eta: 1:41:07 lr: 1.3614430672590124e-05 loss: 0.0406 (0.0444) loss_seg: 0.0404 (0.0441) loss_lansim: 0.0245 (0.0255) loss_contra: 0.0001 (0.0023) time: 2.6931 data: 0.0054 max mem: 31630 Epoch: [30] [3040/5278] eta: 1:40:41 lr: 1.3611967686246183e-05 loss: 0.0407 (0.0444) loss_seg: 0.0404 (0.0441) loss_lansim: 0.0245 (0.0255) loss_contra: 0.0001 (0.0023) time: 2.6983 data: 0.0054 max mem: 31630 Epoch: [30] [3050/5278] eta: 1:40:14 lr: 1.3609504650383528e-05 loss: 0.0406 (0.0444) loss_seg: 0.0404 (0.0441) loss_lansim: 0.0245 (0.0255) loss_contra: 0.0001 (0.0023) time: 2.6966 data: 0.0054 max mem: 31630 Epoch: [30] [3060/5278] eta: 1:39:47 lr: 1.3607041564991207e-05 loss: 0.0405 (0.0444) loss_seg: 0.0403 (0.0441) loss_lansim: 0.0245 (0.0255) loss_contra: 0.0002 (0.0023) time: 2.6982 data: 0.0054 max mem: 31630 Epoch: [30] [3070/5278] eta: 1:39:20 lr: 1.3604578430058268e-05 loss: 0.0407 (0.0443) loss_seg: 0.0404 (0.0441) loss_lansim: 0.0245 (0.0255) loss_contra: 0.0002 (0.0023) time: 2.7007 data: 0.0054 max mem: 31630 Epoch: [30] [3080/5278] eta: 1:38:53 lr: 1.3602115245573746e-05 loss: 0.0406 (0.0443) loss_seg: 0.0404 (0.0441) loss_lansim: 0.0246 (0.0255) loss_contra: 0.0001 (0.0023) time: 2.6982 data: 0.0054 max mem: 31630 Epoch: [30] [3090/5278] eta: 1:38:26 lr: 1.359965201152667e-05 loss: 0.0405 (0.0443) loss_seg: 0.0402 (0.0440) loss_lansim: 0.0248 (0.0255) loss_contra: 0.0001 (0.0023) time: 2.7005 data: 0.0053 max mem: 31630 Epoch: [30] [3100/5278] eta: 1:37:59 lr: 1.3597188727906066e-05 loss: 0.0405 (0.0443) loss_seg: 0.0403 (0.0440) loss_lansim: 0.0246 (0.0255) loss_contra: 0.0001 (0.0023) time: 2.6986 data: 0.0053 max mem: 31630 Epoch: [30] [3110/5278] eta: 1:37:32 lr: 1.3594725394700964e-05 loss: 0.0405 (0.0443) loss_seg: 0.0402 (0.0440) loss_lansim: 0.0242 (0.0255) loss_contra: 0.0001 (0.0023) time: 2.7026 data: 0.0053 max mem: 31630 Epoch: [30] [3120/5278] eta: 1:37:05 lr: 1.3592262011900384e-05 loss: 0.0405 (0.0443) loss_seg: 0.0403 (0.0440) loss_lansim: 0.0239 (0.0255) loss_contra: 0.0001 (0.0023) time: 2.7057 data: 0.0053 max mem: 31630 Epoch: [30] [3130/5278] eta: 1:36:38 lr: 1.358979857949333e-05 loss: 0.0407 (0.0443) loss_seg: 0.0404 (0.0440) loss_lansim: 0.0240 (0.0255) loss_contra: 0.0002 (0.0023) time: 2.7070 data: 0.0052 max mem: 31630 Epoch: [30] [3140/5278] eta: 1:36:11 lr: 1.3587335097468815e-05 loss: 0.0405 (0.0443) loss_seg: 0.0403 (0.0440) loss_lansim: 0.0241 (0.0255) loss_contra: 0.0002 (0.0023) time: 2.7026 data: 0.0053 max mem: 31630 Epoch: [30] [3150/5278] eta: 1:35:44 lr: 1.3584871565815845e-05 loss: 0.0407 (0.0443) loss_seg: 0.0404 (0.0440) loss_lansim: 0.0242 (0.0255) loss_contra: 0.0002 (0.0022) time: 2.7084 data: 0.0053 max mem: 31630 Epoch: [30] [3160/5278] eta: 1:35:17 lr: 1.358240798452343e-05 loss: 0.0411 (0.0443) loss_seg: 0.0409 (0.0440) loss_lansim: 0.0243 (0.0255) loss_contra: 0.0001 (0.0022) time: 2.7022 data: 0.0053 max mem: 31630 Epoch: [30] [3170/5278] eta: 1:34:50 lr: 1.3579944353580545e-05 loss: 0.0421 (0.0443) loss_seg: 0.0419 (0.0440) loss_lansim: 0.0242 (0.0255) loss_contra: 0.0002 (0.0022) time: 2.7054 data: 0.0054 max mem: 31630 Epoch: [30] [3180/5278] eta: 1:34:23 lr: 1.3577480672976195e-05 loss: 0.0415 (0.0443) loss_seg: 0.0412 (0.0440) loss_lansim: 0.0242 (0.0255) loss_contra: 0.0002 (0.0022) time: 2.7056 data: 0.0055 max mem: 31630 Epoch: [30] [3190/5278] eta: 1:33:56 lr: 1.3575016942699362e-05 loss: 0.0415 (0.0443) loss_seg: 0.0412 (0.0440) loss_lansim: 0.0241 (0.0255) loss_contra: 0.0002 (0.0022) time: 2.7025 data: 0.0055 max mem: 31630 Epoch: [30] [3200/5278] eta: 1:33:29 lr: 1.3572553162739027e-05 loss: 0.0421 (0.0443) loss_seg: 0.0419 (0.0440) loss_lansim: 0.0242 (0.0255) loss_contra: 0.0002 (0.0022) time: 2.7048 data: 0.0055 max mem: 31630 Epoch: [30] [3210/5278] eta: 1:33:02 lr: 1.3570089333084174e-05 loss: 0.0419 (0.0443) loss_seg: 0.0417 (0.0440) loss_lansim: 0.0243 (0.0255) loss_contra: 0.0002 (0.0022) time: 2.7036 data: 0.0056 max mem: 31630 Epoch: [30] [3220/5278] eta: 1:32:35 lr: 1.3567625453723764e-05 loss: 0.0421 (0.0443) loss_seg: 0.0419 (0.0440) loss_lansim: 0.0243 (0.0255) loss_contra: 0.0002 (0.0022) time: 2.6958 data: 0.0055 max mem: 31630 Epoch: [30] [3230/5278] eta: 1:32:08 lr: 1.356516152464677e-05 loss: 0.0408 (0.0443) loss_seg: 0.0406 (0.0440) loss_lansim: 0.0243 (0.0255) loss_contra: 0.0002 (0.0022) time: 2.6970 data: 0.0055 max mem: 31630 Epoch: [30] [3240/5278] eta: 1:31:41 lr: 1.3562697545842148e-05 loss: 0.0415 (0.0443) loss_seg: 0.0412 (0.0440) loss_lansim: 0.0243 (0.0255) loss_contra: 0.0002 (0.0022) time: 2.6956 data: 0.0055 max mem: 31630 Epoch: [30] [3250/5278] eta: 1:31:14 lr: 1.3560233517298874e-05 loss: 0.0401 (0.0443) loss_seg: 0.0398 (0.0440) loss_lansim: 0.0244 (0.0255) loss_contra: 0.0002 (0.0022) time: 2.6896 data: 0.0055 max mem: 31630 Epoch: [30] [3260/5278] eta: 1:30:47 lr: 1.355776943900588e-05 loss: 0.0393 (0.0443) loss_seg: 0.0391 (0.0440) loss_lansim: 0.0245 (0.0255) loss_contra: 0.0002 (0.0022) time: 2.6922 data: 0.0054 max mem: 31630 Epoch: [30] [3270/5278] eta: 1:30:20 lr: 1.3555305310952123e-05 loss: 0.0393 (0.0443) loss_seg: 0.0390 (0.0440) loss_lansim: 0.0251 (0.0255) loss_contra: 0.0002 (0.0022) time: 2.6899 data: 0.0053 max mem: 31630 Epoch: [30] [3280/5278] eta: 1:29:53 lr: 1.3552841133126548e-05 loss: 0.0393 (0.0443) loss_seg: 0.0390 (0.0440) loss_lansim: 0.0251 (0.0255) loss_contra: 0.0002 (0.0022) time: 2.6887 data: 0.0053 max mem: 31630 Epoch: [30] [3290/5278] eta: 1:29:26 lr: 1.35503769055181e-05 loss: 0.0410 (0.0443) loss_seg: 0.0407 (0.0441) loss_lansim: 0.0254 (0.0255) loss_contra: 0.0002 (0.0022) time: 2.6949 data: 0.0053 max mem: 31630 Epoch: [30] [3300/5278] eta: 1:28:59 lr: 1.3547912628115702e-05 loss: 0.0412 (0.0444) loss_seg: 0.0409 (0.0441) loss_lansim: 0.0255 (0.0255) loss_contra: 0.0002 (0.0022) time: 2.6915 data: 0.0052 max mem: 31630 Epoch: [30] [3310/5278] eta: 1:28:32 lr: 1.3545448300908289e-05 loss: 0.0401 (0.0443) loss_seg: 0.0399 (0.0441) loss_lansim: 0.0255 (0.0255) loss_contra: 0.0002 (0.0022) time: 2.6926 data: 0.0052 max mem: 31630 Epoch: [30] [3320/5278] eta: 1:28:05 lr: 1.3542983923884786e-05 loss: 0.0404 (0.0443) loss_seg: 0.0401 (0.0441) loss_lansim: 0.0257 (0.0255) loss_contra: 0.0002 (0.0022) time: 2.6951 data: 0.0051 max mem: 31630 Epoch: [30] [3330/5278] eta: 1:27:38 lr: 1.3540519497034121e-05 loss: 0.0410 (0.0443) loss_seg: 0.0407 (0.0441) loss_lansim: 0.0258 (0.0255) loss_contra: 0.0002 (0.0022) time: 2.6942 data: 0.0051 max mem: 31630 Epoch: [30] [3340/5278] eta: 1:27:11 lr: 1.3538055020345198e-05 loss: 0.0410 (0.0443) loss_seg: 0.0407 (0.0441) loss_lansim: 0.0260 (0.0255) loss_contra: 0.0002 (0.0022) time: 2.6946 data: 0.0051 max mem: 31630 Epoch: [30] [3350/5278] eta: 1:26:44 lr: 1.3535590493806929e-05 loss: 0.0408 (0.0443) loss_seg: 0.0405 (0.0440) loss_lansim: 0.0261 (0.0255) loss_contra: 0.0002 (0.0022) time: 2.7004 data: 0.0052 max mem: 31630 Epoch: [30] [3360/5278] eta: 1:26:17 lr: 1.3533125917408227e-05 loss: 0.0401 (0.0443) loss_seg: 0.0399 (0.0440) loss_lansim: 0.0263 (0.0255) loss_contra: 0.0002 (0.0022) time: 2.7008 data: 0.0053 max mem: 31630 Epoch: [30] [3370/5278] eta: 1:25:50 lr: 1.3530661291137995e-05 loss: 0.0408 (0.0444) loss_seg: 0.0405 (0.0441) loss_lansim: 0.0265 (0.0255) loss_contra: 0.0002 (0.0022) time: 2.7023 data: 0.0054 max mem: 31630 Epoch: [30] [3380/5278] eta: 1:25:23 lr: 1.3528196614985123e-05 loss: 0.0408 (0.0444) loss_seg: 0.0405 (0.0441) loss_lansim: 0.0270 (0.0255) loss_contra: 0.0002 (0.0022) time: 2.7042 data: 0.0054 max mem: 31630 Epoch: [30] [3390/5278] eta: 1:24:56 lr: 1.3525731888938501e-05 loss: 0.0402 (0.0443) loss_seg: 0.0399 (0.0441) loss_lansim: 0.0273 (0.0255) loss_contra: 0.0002 (0.0022) time: 2.6976 data: 0.0054 max mem: 31630 Epoch: [30] [3400/5278] eta: 1:24:29 lr: 1.3523267112987024e-05 loss: 0.0399 (0.0443) loss_seg: 0.0396 (0.0441) loss_lansim: 0.0272 (0.0255) loss_contra: 0.0002 (0.0022) time: 2.6979 data: 0.0054 max mem: 31630 Epoch: [30] [3410/5278] eta: 1:24:02 lr: 1.3520802287119578e-05 loss: 0.0412 (0.0443) loss_seg: 0.0409 (0.0441) loss_lansim: 0.0274 (0.0255) loss_contra: 0.0001 (0.0022) time: 2.6995 data: 0.0055 max mem: 31630 Epoch: [30] [3420/5278] eta: 1:23:35 lr: 1.3518337411325027e-05 loss: 0.0400 (0.0443) loss_seg: 0.0397 (0.0440) loss_lansim: 0.0274 (0.0255) loss_contra: 0.0001 (0.0022) time: 2.6985 data: 0.0055 max mem: 31630 Epoch: [30] [3430/5278] eta: 1:23:08 lr: 1.3515872485592254e-05 loss: 0.0400 (0.0443) loss_seg: 0.0397 (0.0440) loss_lansim: 0.0273 (0.0255) loss_contra: 0.0002 (0.0022) time: 2.7003 data: 0.0055 max mem: 31630 Epoch: [30] [3440/5278] eta: 1:22:41 lr: 1.3513407509910129e-05 loss: 0.0400 (0.0443) loss_seg: 0.0397 (0.0440) loss_lansim: 0.0274 (0.0255) loss_contra: 0.0001 (0.0022) time: 2.7024 data: 0.0056 max mem: 31630 Epoch: [30] [3450/5278] eta: 1:22:14 lr: 1.3510942484267507e-05 loss: 0.0409 (0.0443) loss_seg: 0.0407 (0.0440) loss_lansim: 0.0274 (0.0255) loss_contra: 0.0001 (0.0022) time: 2.6987 data: 0.0056 max mem: 31630 Epoch: [30] [3460/5278] eta: 1:21:47 lr: 1.3508477408653261e-05 loss: 0.0409 (0.0443) loss_seg: 0.0407 (0.0440) loss_lansim: 0.0274 (0.0256) loss_contra: 0.0001 (0.0022) time: 2.7038 data: 0.0056 max mem: 31630 Epoch: [30] [3470/5278] eta: 1:21:20 lr: 1.3506012283056233e-05 loss: 0.0409 (0.0443) loss_seg: 0.0407 (0.0441) loss_lansim: 0.0272 (0.0256) loss_contra: 0.0001 (0.0022) time: 2.6996 data: 0.0055 max mem: 31630 Epoch: [30] [3480/5278] eta: 1:20:53 lr: 1.3503547107465275e-05 loss: 0.0415 (0.0443) loss_seg: 0.0411 (0.0441) loss_lansim: 0.0273 (0.0256) loss_contra: 0.0001 (0.0021) time: 2.6978 data: 0.0055 max mem: 31630 Epoch: [30] [3490/5278] eta: 1:20:26 lr: 1.3501081881869235e-05 loss: 0.0412 (0.0443) loss_seg: 0.0409 (0.0441) loss_lansim: 0.0272 (0.0256) loss_contra: 0.0001 (0.0021) time: 2.7045 data: 0.0055 max mem: 31630 Epoch: [30] [3500/5278] eta: 1:19:59 lr: 1.3498616606256956e-05 loss: 0.0417 (0.0443) loss_seg: 0.0414 (0.0441) loss_lansim: 0.0271 (0.0256) loss_contra: 0.0001 (0.0021) time: 2.7024 data: 0.0054 max mem: 31630 Epoch: [30] [3510/5278] eta: 1:19:32 lr: 1.349615128061726e-05 loss: 0.0400 (0.0443) loss_seg: 0.0397 (0.0440) loss_lansim: 0.0271 (0.0256) loss_contra: 0.0001 (0.0021) time: 2.7019 data: 0.0054 max mem: 31630 Epoch: [30] [3520/5278] eta: 1:19:05 lr: 1.3493685904938991e-05 loss: 0.0406 (0.0443) loss_seg: 0.0403 (0.0440) loss_lansim: 0.0271 (0.0256) loss_contra: 0.0001 (0.0021) time: 2.7032 data: 0.0054 max mem: 31630 Epoch: [30] [3530/5278] eta: 1:18:38 lr: 1.349122047921097e-05 loss: 0.0409 (0.0443) loss_seg: 0.0407 (0.0440) loss_lansim: 0.0274 (0.0256) loss_contra: 0.0001 (0.0021) time: 2.6991 data: 0.0053 max mem: 31630 Epoch: [30] [3540/5278] eta: 1:18:11 lr: 1.3488755003422024e-05 loss: 0.0414 (0.0443) loss_seg: 0.0411 (0.0440) loss_lansim: 0.0272 (0.0256) loss_contra: 0.0001 (0.0021) time: 2.6957 data: 0.0053 max mem: 31630 Epoch: [30] [3550/5278] eta: 1:17:44 lr: 1.3486289477560957e-05 loss: 0.0406 (0.0443) loss_seg: 0.0403 (0.0440) loss_lansim: 0.0275 (0.0256) loss_contra: 0.0001 (0.0021) time: 2.6966 data: 0.0051 max mem: 31630 Epoch: [30] [3560/5278] eta: 1:17:17 lr: 1.3483823901616585e-05 loss: 0.0395 (0.0443) loss_seg: 0.0392 (0.0440) loss_lansim: 0.0274 (0.0256) loss_contra: 0.0001 (0.0021) time: 2.6912 data: 0.0051 max mem: 31630 Epoch: [30] [3570/5278] eta: 1:16:50 lr: 1.3481358275577719e-05 loss: 0.0393 (0.0443) loss_seg: 0.0390 (0.0440) loss_lansim: 0.0274 (0.0256) loss_contra: 0.0001 (0.0021) time: 2.6899 data: 0.0051 max mem: 31630 Epoch: [30] [3580/5278] eta: 1:16:23 lr: 1.3478892599433166e-05 loss: 0.0389 (0.0443) loss_seg: 0.0386 (0.0440) loss_lansim: 0.0273 (0.0256) loss_contra: 0.0001 (0.0021) time: 2.6907 data: 0.0051 max mem: 31630 Epoch: [30] [3590/5278] eta: 1:15:56 lr: 1.3476426873171708e-05 loss: 0.0386 (0.0443) loss_seg: 0.0383 (0.0440) loss_lansim: 0.0274 (0.0256) loss_contra: 0.0001 (0.0021) time: 2.6889 data: 0.0051 max mem: 31630 Epoch: [30] [3600/5278] eta: 1:15:29 lr: 1.3473961096782146e-05 loss: 0.0371 (0.0442) loss_seg: 0.0368 (0.0440) loss_lansim: 0.0274 (0.0256) loss_contra: 0.0001 (0.0021) time: 2.6893 data: 0.0051 max mem: 31630 Epoch: [30] [3610/5278] eta: 1:15:02 lr: 1.3471495270253264e-05 loss: 0.0381 (0.0442) loss_seg: 0.0378 (0.0439) loss_lansim: 0.0274 (0.0256) loss_contra: 0.0002 (0.0021) time: 2.6912 data: 0.0051 max mem: 31630 Epoch: [30] [3620/5278] eta: 1:14:35 lr: 1.3469029393573856e-05 loss: 0.0383 (0.0442) loss_seg: 0.0380 (0.0439) loss_lansim: 0.0272 (0.0256) loss_contra: 0.0002 (0.0021) time: 2.6889 data: 0.0051 max mem: 31630 Epoch: [30] [3630/5278] eta: 1:14:08 lr: 1.3466563466732687e-05 loss: 0.0388 (0.0442) loss_seg: 0.0385 (0.0440) loss_lansim: 0.0272 (0.0257) loss_contra: 0.0002 (0.0021) time: 2.6944 data: 0.0051 max mem: 31630 Epoch: [30] [3640/5278] eta: 1:13:41 lr: 1.3464097489718533e-05 loss: 0.0385 (0.0442) loss_seg: 0.0382 (0.0440) loss_lansim: 0.0275 (0.0257) loss_contra: 0.0002 (0.0021) time: 2.6925 data: 0.0051 max mem: 31630 Epoch: [30] [3650/5278] eta: 1:13:14 lr: 1.3461631462520165e-05 loss: 0.0385 (0.0442) loss_seg: 0.0382 (0.0440) loss_lansim: 0.0273 (0.0257) loss_contra: 0.0001 (0.0021) time: 2.6964 data: 0.0051 max mem: 31630 Epoch: [30] [3660/5278] eta: 1:12:47 lr: 1.3459165385126351e-05 loss: 0.0396 (0.0443) loss_seg: 0.0392 (0.0440) loss_lansim: 0.0276 (0.0257) loss_contra: 0.0001 (0.0021) time: 2.6940 data: 0.0052 max mem: 31630 Epoch: [30] [3670/5278] eta: 1:12:20 lr: 1.345669925752584e-05 loss: 0.0396 (0.0442) loss_seg: 0.0392 (0.0440) loss_lansim: 0.0277 (0.0257) loss_contra: 0.0001 (0.0021) time: 2.7039 data: 0.0053 max mem: 31630 Epoch: [30] [3680/5278] eta: 1:11:53 lr: 1.3454233079707392e-05 loss: 0.0389 (0.0442) loss_seg: 0.0386 (0.0439) loss_lansim: 0.0280 (0.0257) loss_contra: 0.0001 (0.0021) time: 2.7000 data: 0.0054 max mem: 31630 Epoch: [30] [3690/5278] eta: 1:11:26 lr: 1.3451766851659752e-05 loss: 0.0399 (0.0442) loss_seg: 0.0397 (0.0439) loss_lansim: 0.0279 (0.0257) loss_contra: 0.0001 (0.0021) time: 2.7010 data: 0.0055 max mem: 31630 Epoch: [30] [3700/5278] eta: 1:10:59 lr: 1.344930057337167e-05 loss: 0.0408 (0.0442) loss_seg: 0.0405 (0.0440) loss_lansim: 0.0279 (0.0257) loss_contra: 0.0001 (0.0021) time: 2.6994 data: 0.0056 max mem: 31630 Epoch: [30] [3710/5278] eta: 1:10:32 lr: 1.3446834244831888e-05 loss: 0.0412 (0.0442) loss_seg: 0.0409 (0.0440) loss_lansim: 0.0280 (0.0257) loss_contra: 0.0001 (0.0021) time: 2.6988 data: 0.0056 max mem: 31630 Epoch: [30] [3720/5278] eta: 1:10:05 lr: 1.3444367866029129e-05 loss: 0.0420 (0.0442) loss_seg: 0.0417 (0.0440) loss_lansim: 0.0284 (0.0257) loss_contra: 0.0001 (0.0021) time: 2.6988 data: 0.0056 max mem: 31630 Epoch: [30] [3730/5278] eta: 1:09:38 lr: 1.344190143695213e-05 loss: 0.0420 (0.0443) loss_seg: 0.0417 (0.0440) loss_lansim: 0.0280 (0.0257) loss_contra: 0.0001 (0.0021) time: 2.6952 data: 0.0057 max mem: 31630 Epoch: [30] [3740/5278] eta: 1:09:11 lr: 1.3439434957589617e-05 loss: 0.0421 (0.0443) loss_seg: 0.0418 (0.0440) loss_lansim: 0.0280 (0.0257) loss_contra: 0.0001 (0.0021) time: 2.6962 data: 0.0057 max mem: 31630 Epoch: [30] [3750/5278] eta: 1:08:44 lr: 1.3436968427930313e-05 loss: 0.0421 (0.0443) loss_seg: 0.0418 (0.0440) loss_lansim: 0.0280 (0.0257) loss_contra: 0.0001 (0.0021) time: 2.6951 data: 0.0057 max mem: 31630 Epoch: [30] [3760/5278] eta: 1:08:17 lr: 1.3434501847962924e-05 loss: 0.0416 (0.0443) loss_seg: 0.0413 (0.0440) loss_lansim: 0.0280 (0.0257) loss_contra: 0.0001 (0.0021) time: 2.7008 data: 0.0057 max mem: 31630 Epoch: [30] [3770/5278] eta: 1:07:50 lr: 1.3432035217676167e-05 loss: 0.0420 (0.0443) loss_seg: 0.0417 (0.0440) loss_lansim: 0.0279 (0.0257) loss_contra: 0.0001 (0.0021) time: 2.6971 data: 0.0056 max mem: 31630 Epoch: [30] [3780/5278] eta: 1:07:23 lr: 1.3429568537058748e-05 loss: 0.0421 (0.0442) loss_seg: 0.0418 (0.0440) loss_lansim: 0.0278 (0.0257) loss_contra: 0.0001 (0.0021) time: 2.6991 data: 0.0056 max mem: 31630 Epoch: [30] [3790/5278] eta: 1:06:56 lr: 1.342710180609937e-05 loss: 0.0416 (0.0442) loss_seg: 0.0413 (0.0440) loss_lansim: 0.0280 (0.0257) loss_contra: 0.0001 (0.0021) time: 2.7008 data: 0.0055 max mem: 31630 Epoch: [30] [3800/5278] eta: 1:06:29 lr: 1.3424635024786723e-05 loss: 0.0415 (0.0442) loss_seg: 0.0412 (0.0440) loss_lansim: 0.0278 (0.0258) loss_contra: 0.0002 (0.0021) time: 2.7070 data: 0.0054 max mem: 31630 Epoch: [30] [3810/5278] eta: 1:06:02 lr: 1.34221681931095e-05 loss: 0.0415 (0.0442) loss_seg: 0.0412 (0.0440) loss_lansim: 0.0275 (0.0258) loss_contra: 0.0002 (0.0021) time: 2.7029 data: 0.0055 max mem: 31630 Epoch: [30] [3820/5278] eta: 1:05:35 lr: 1.3419701311056384e-05 loss: 0.0415 (0.0442) loss_seg: 0.0412 (0.0440) loss_lansim: 0.0274 (0.0258) loss_contra: 0.0001 (0.0021) time: 2.7068 data: 0.0055 max mem: 31630 Epoch: [30] [3830/5278] eta: 1:05:08 lr: 1.3417234378616073e-05 loss: 0.0415 (0.0443) loss_seg: 0.0412 (0.0440) loss_lansim: 0.0275 (0.0258) loss_contra: 0.0001 (0.0021) time: 2.7059 data: 0.0056 max mem: 31630 Epoch: [30] [3840/5278] eta: 1:04:41 lr: 1.3414767395777222e-05 loss: 0.0406 (0.0443) loss_seg: 0.0403 (0.0440) loss_lansim: 0.0275 (0.0258) loss_contra: 0.0001 (0.0021) time: 2.7065 data: 0.0056 max mem: 31630 Epoch: [30] [3850/5278] eta: 1:04:14 lr: 1.3412300362528516e-05 loss: 0.0415 (0.0443) loss_seg: 0.0412 (0.0440) loss_lansim: 0.0276 (0.0258) loss_contra: 0.0001 (0.0021) time: 2.7075 data: 0.0056 max mem: 31630 Epoch: [30] [3860/5278] eta: 1:03:47 lr: 1.3409833278858617e-05 loss: 0.0417 (0.0443) loss_seg: 0.0414 (0.0440) loss_lansim: 0.0276 (0.0258) loss_contra: 0.0002 (0.0021) time: 2.7026 data: 0.0056 max mem: 31630 Epoch: [30] [3870/5278] eta: 1:03:20 lr: 1.3407366144756193e-05 loss: 0.0417 (0.0443) loss_seg: 0.0414 (0.0440) loss_lansim: 0.0278 (0.0258) loss_contra: 0.0002 (0.0021) time: 2.7029 data: 0.0057 max mem: 31630 Epoch: [30] [3880/5278] eta: 1:02:53 lr: 1.3404898960209892e-05 loss: 0.0415 (0.0443) loss_seg: 0.0412 (0.0440) loss_lansim: 0.0278 (0.0258) loss_contra: 0.0002 (0.0021) time: 2.7039 data: 0.0058 max mem: 31630 Epoch: [30] [3890/5278] eta: 1:02:26 lr: 1.3402431725208373e-05 loss: 0.0422 (0.0443) loss_seg: 0.0418 (0.0440) loss_lansim: 0.0275 (0.0258) loss_contra: 0.0002 (0.0021) time: 2.7013 data: 0.0059 max mem: 31630 Epoch: [30] [3900/5278] eta: 1:01:59 lr: 1.3399964439740279e-05 loss: 0.0428 (0.0443) loss_seg: 0.0425 (0.0440) loss_lansim: 0.0280 (0.0258) loss_contra: 0.0002 (0.0021) time: 2.6979 data: 0.0060 max mem: 31630 Epoch: [30] [3910/5278] eta: 1:01:32 lr: 1.3397497103794262e-05 loss: 0.0428 (0.0443) loss_seg: 0.0425 (0.0440) loss_lansim: 0.0283 (0.0258) loss_contra: 0.0002 (0.0021) time: 2.6991 data: 0.0060 max mem: 31630 Epoch: [30] [3920/5278] eta: 1:01:05 lr: 1.3395029717358948e-05 loss: 0.0418 (0.0443) loss_seg: 0.0415 (0.0440) loss_lansim: 0.0285 (0.0258) loss_contra: 0.0002 (0.0021) time: 2.6990 data: 0.0061 max mem: 31630 Epoch: [30] [3930/5278] eta: 1:00:38 lr: 1.3392562280422973e-05 loss: 0.0406 (0.0443) loss_seg: 0.0402 (0.0440) loss_lansim: 0.0285 (0.0259) loss_contra: 0.0002 (0.0021) time: 2.7028 data: 0.0060 max mem: 31630 Epoch: [30] [3940/5278] eta: 1:00:11 lr: 1.3390094792974968e-05 loss: 0.0413 (0.0443) loss_seg: 0.0410 (0.0440) loss_lansim: 0.0285 (0.0259) loss_contra: 0.0002 (0.0021) time: 2.7063 data: 0.0060 max mem: 31630 Epoch: [30] [3950/5278] eta: 0:59:44 lr: 1.3387627255003557e-05 loss: 0.0411 (0.0443) loss_seg: 0.0408 (0.0440) loss_lansim: 0.0285 (0.0259) loss_contra: 0.0003 (0.0021) time: 2.7041 data: 0.0060 max mem: 31630 Epoch: [30] [3960/5278] eta: 0:59:17 lr: 1.338515966649736e-05 loss: 0.0411 (0.0443) loss_seg: 0.0408 (0.0440) loss_lansim: 0.0288 (0.0259) loss_contra: 0.0003 (0.0021) time: 2.7056 data: 0.0060 max mem: 31630 Epoch: [30] [3970/5278] eta: 0:58:50 lr: 1.3382692027444978e-05 loss: 0.0413 (0.0443) loss_seg: 0.0410 (0.0440) loss_lansim: 0.0288 (0.0259) loss_contra: 0.0002 (0.0021) time: 2.7008 data: 0.0060 max mem: 31630 Epoch: [30] [3980/5278] eta: 0:58:23 lr: 1.3380224337835032e-05 loss: 0.0446 (0.0443) loss_seg: 0.0442 (0.0440) loss_lansim: 0.0291 (0.0259) loss_contra: 0.0002 (0.0021) time: 2.7077 data: 0.0059 max mem: 31630 Epoch: [30] [3990/5278] eta: 0:57:56 lr: 1.337775659765612e-05 loss: 0.0438 (0.0443) loss_seg: 0.0435 (0.0440) loss_lansim: 0.0298 (0.0259) loss_contra: 0.0002 (0.0021) time: 2.7030 data: 0.0060 max mem: 31630 Epoch: [30] [4000/5278] eta: 0:57:29 lr: 1.3375288806896846e-05 loss: 0.0428 (0.0443) loss_seg: 0.0425 (0.0440) loss_lansim: 0.0299 (0.0259) loss_contra: 0.0003 (0.0021) time: 2.7070 data: 0.0058 max mem: 31630 Epoch: [30] [4010/5278] eta: 0:57:02 lr: 1.3372820965545796e-05 loss: 0.0438 (0.0443) loss_seg: 0.0435 (0.0440) loss_lansim: 0.0307 (0.0259) loss_contra: 0.0002 (0.0021) time: 2.7060 data: 0.0058 max mem: 31630 Epoch: [30] [4020/5278] eta: 0:56:35 lr: 1.337035307359156e-05 loss: 0.0438 (0.0443) loss_seg: 0.0435 (0.0441) loss_lansim: 0.0307 (0.0260) loss_contra: 0.0002 (0.0021) time: 2.7039 data: 0.0058 max mem: 31630 Epoch: [30] [4030/5278] eta: 0:56:08 lr: 1.3367885131022726e-05 loss: 0.0446 (0.0443) loss_seg: 0.0442 (0.0441) loss_lansim: 0.0309 (0.0260) loss_contra: 0.0002 (0.0021) time: 2.7057 data: 0.0058 max mem: 31630 Epoch: [30] [4040/5278] eta: 0:55:41 lr: 1.3365417137827877e-05 loss: 0.0441 (0.0444) loss_seg: 0.0438 (0.0441) loss_lansim: 0.0310 (0.0260) loss_contra: 0.0001 (0.0021) time: 2.7017 data: 0.0059 max mem: 31630 Epoch: [30] [4050/5278] eta: 0:55:14 lr: 1.3362949093995573e-05 loss: 0.0432 (0.0443) loss_seg: 0.0429 (0.0441) loss_lansim: 0.0309 (0.0260) loss_contra: 0.0001 (0.0021) time: 2.7024 data: 0.0059 max mem: 31630 Epoch: [30] [4060/5278] eta: 0:54:47 lr: 1.3360480999514391e-05 loss: 0.0420 (0.0443) loss_seg: 0.0417 (0.0441) loss_lansim: 0.0307 (0.0260) loss_contra: 0.0002 (0.0021) time: 2.7043 data: 0.0059 max mem: 31630 Epoch: [30] [4070/5278] eta: 0:54:21 lr: 1.3358012854372897e-05 loss: 0.0394 (0.0443) loss_seg: 0.0391 (0.0441) loss_lansim: 0.0308 (0.0260) loss_contra: 0.0001 (0.0021) time: 2.7093 data: 0.0059 max mem: 31630 Epoch: [30] [4080/5278] eta: 0:53:53 lr: 1.3355544658559651e-05 loss: 0.0389 (0.0443) loss_seg: 0.0387 (0.0440) loss_lansim: 0.0312 (0.0260) loss_contra: 0.0002 (0.0021) time: 2.7010 data: 0.0058 max mem: 31630 Epoch: [30] [4090/5278] eta: 0:53:27 lr: 1.3353076412063203e-05 loss: 0.0392 (0.0443) loss_seg: 0.0390 (0.0440) loss_lansim: 0.0313 (0.0261) loss_contra: 0.0002 (0.0021) time: 2.7068 data: 0.0058 max mem: 31630 Epoch: [30] [4100/5278] eta: 0:53:00 lr: 1.3350608114872102e-05 loss: 0.0406 (0.0443) loss_seg: 0.0403 (0.0440) loss_lansim: 0.0313 (0.0261) loss_contra: 0.0002 (0.0021) time: 2.7021 data: 0.0058 max mem: 31630 Epoch: [30] [4110/5278] eta: 0:52:32 lr: 1.3348139766974897e-05 loss: 0.0406 (0.0443) loss_seg: 0.0403 (0.0440) loss_lansim: 0.0315 (0.0261) loss_contra: 0.0002 (0.0021) time: 2.7030 data: 0.0058 max mem: 31630 Epoch: [30] [4120/5278] eta: 0:52:05 lr: 1.3345671368360127e-05 loss: 0.0410 (0.0444) loss_seg: 0.0407 (0.0441) loss_lansim: 0.0316 (0.0261) loss_contra: 0.0003 (0.0021) time: 2.7008 data: 0.0057 max mem: 31630 Epoch: [30] [4130/5278] eta: 0:51:38 lr: 1.3343202919016318e-05 loss: 0.0410 (0.0443) loss_seg: 0.0407 (0.0441) loss_lansim: 0.0319 (0.0261) loss_contra: 0.0003 (0.0021) time: 2.6985 data: 0.0056 max mem: 31630 Epoch: [30] [4140/5278] eta: 0:51:11 lr: 1.3340734418932008e-05 loss: 0.0420 (0.0443) loss_seg: 0.0417 (0.0441) loss_lansim: 0.0326 (0.0262) loss_contra: 0.0003 (0.0021) time: 2.7007 data: 0.0056 max mem: 31630 Epoch: [30] [4150/5278] eta: 0:50:44 lr: 1.333826586809572e-05 loss: 0.0420 (0.0444) loss_seg: 0.0417 (0.0441) loss_lansim: 0.0327 (0.0262) loss_contra: 0.0003 (0.0021) time: 2.6972 data: 0.0056 max mem: 31630 Epoch: [30] [4160/5278] eta: 0:50:18 lr: 1.3335797266495978e-05 loss: 0.0429 (0.0444) loss_seg: 0.0425 (0.0441) loss_lansim: 0.0332 (0.0262) loss_contra: 0.0003 (0.0021) time: 2.6990 data: 0.0055 max mem: 31630 Epoch: [30] [4170/5278] eta: 0:49:50 lr: 1.3333328614121287e-05 loss: 0.0445 (0.0444) loss_seg: 0.0441 (0.0441) loss_lansim: 0.0327 (0.0262) loss_contra: 0.0003 (0.0021) time: 2.6958 data: 0.0054 max mem: 31630 Epoch: [30] [4180/5278] eta: 0:49:23 lr: 1.3330859910960161e-05 loss: 0.0456 (0.0444) loss_seg: 0.0452 (0.0441) loss_lansim: 0.0327 (0.0262) loss_contra: 0.0003 (0.0021) time: 2.6973 data: 0.0054 max mem: 31630 Epoch: [30] [4190/5278] eta: 0:48:56 lr: 1.3328391157001106e-05 loss: 0.0449 (0.0444) loss_seg: 0.0445 (0.0441) loss_lansim: 0.0327 (0.0262) loss_contra: 0.0002 (0.0021) time: 2.6950 data: 0.0053 max mem: 31630 Epoch: [30] [4200/5278] eta: 0:48:29 lr: 1.3325922352232623e-05 loss: 0.0437 (0.0444) loss_seg: 0.0433 (0.0441) loss_lansim: 0.0326 (0.0262) loss_contra: 0.0003 (0.0021) time: 2.6952 data: 0.0053 max mem: 31630 Epoch: [30] [4210/5278] eta: 0:48:02 lr: 1.3323453496643207e-05 loss: 0.0434 (0.0444) loss_seg: 0.0430 (0.0441) loss_lansim: 0.0324 (0.0263) loss_contra: 0.0003 (0.0021) time: 2.6935 data: 0.0053 max mem: 31630 Epoch: [30] [4220/5278] eta: 0:47:35 lr: 1.3320984590221341e-05 loss: 0.0409 (0.0444) loss_seg: 0.0405 (0.0441) loss_lansim: 0.0326 (0.0263) loss_contra: 0.0003 (0.0021) time: 2.6969 data: 0.0053 max mem: 31630 Epoch: [30] [4230/5278] eta: 0:47:08 lr: 1.3318515632955516e-05 loss: 0.0409 (0.0444) loss_seg: 0.0405 (0.0441) loss_lansim: 0.0329 (0.0263) loss_contra: 0.0003 (0.0021) time: 2.6935 data: 0.0052 max mem: 31630 Epoch: [30] [4240/5278] eta: 0:46:41 lr: 1.3316046624834211e-05 loss: 0.0409 (0.0444) loss_seg: 0.0405 (0.0441) loss_lansim: 0.0333 (0.0263) loss_contra: 0.0003 (0.0021) time: 2.6918 data: 0.0052 max mem: 31630 Epoch: [30] [4250/5278] eta: 0:46:14 lr: 1.3313577565845906e-05 loss: 0.0407 (0.0444) loss_seg: 0.0403 (0.0441) loss_lansim: 0.0337 (0.0264) loss_contra: 0.0004 (0.0021) time: 2.6944 data: 0.0052 max mem: 31630 Epoch: [30] [4260/5278] eta: 0:45:47 lr: 1.331110845597906e-05 loss: 0.0407 (0.0444) loss_seg: 0.0403 (0.0441) loss_lansim: 0.0343 (0.0264) loss_contra: 0.0006 (0.0021) time: 2.6887 data: 0.0052 max mem: 31630 Epoch: [30] [4270/5278] eta: 0:45:20 lr: 1.3308639295222144e-05 loss: 0.0407 (0.0444) loss_seg: 0.0403 (0.0441) loss_lansim: 0.0346 (0.0264) loss_contra: 0.0005 (0.0021) time: 2.6880 data: 0.0052 max mem: 31630 Epoch: [30] [4280/5278] eta: 0:44:53 lr: 1.3306170083563616e-05 loss: 0.0407 (0.0444) loss_seg: 0.0403 (0.0441) loss_lansim: 0.0353 (0.0264) loss_contra: 0.0005 (0.0021) time: 2.6887 data: 0.0053 max mem: 31630 Epoch: [30] [4290/5278] eta: 0:44:26 lr: 1.330370082099194e-05 loss: 0.0407 (0.0444) loss_seg: 0.0403 (0.0441) loss_lansim: 0.0359 (0.0265) loss_contra: 0.0006 (0.0021) time: 2.6867 data: 0.0053 max mem: 31630 Epoch: [30] [4300/5278] eta: 0:43:59 lr: 1.330123150749555e-05 loss: 0.0421 (0.0444) loss_seg: 0.0418 (0.0442) loss_lansim: 0.0365 (0.0265) loss_contra: 0.0004 (0.0021) time: 2.6885 data: 0.0053 max mem: 31630 Epoch: [30] [4310/5278] eta: 0:43:32 lr: 1.32987621430629e-05 loss: 0.0419 (0.0444) loss_seg: 0.0414 (0.0441) loss_lansim: 0.0366 (0.0265) loss_contra: 0.0004 (0.0021) time: 2.6887 data: 0.0052 max mem: 31630 Epoch: [30] [4320/5278] eta: 0:43:05 lr: 1.3296292727682432e-05 loss: 0.0421 (0.0444) loss_seg: 0.0418 (0.0441) loss_lansim: 0.0366 (0.0265) loss_contra: 0.0004 (0.0021) time: 2.6920 data: 0.0052 max mem: 31630 Epoch: [30] [4330/5278] eta: 0:42:38 lr: 1.3293823261342581e-05 loss: 0.0419 (0.0444) loss_seg: 0.0414 (0.0441) loss_lansim: 0.0366 (0.0265) loss_contra: 0.0003 (0.0021) time: 2.6901 data: 0.0053 max mem: 31630 Epoch: [30] [4340/5278] eta: 0:42:11 lr: 1.329135374403177e-05 loss: 0.0419 (0.0444) loss_seg: 0.0414 (0.0441) loss_lansim: 0.0362 (0.0266) loss_contra: 0.0003 (0.0021) time: 2.6915 data: 0.0053 max mem: 31630 Epoch: [30] [4350/5278] eta: 0:41:44 lr: 1.3288884175738429e-05 loss: 0.0407 (0.0444) loss_seg: 0.0403 (0.0441) loss_lansim: 0.0352 (0.0266) loss_contra: 0.0002 (0.0021) time: 2.6880 data: 0.0053 max mem: 31630 Epoch: [30] [4360/5278] eta: 0:41:17 lr: 1.3286414556450973e-05 loss: 0.0406 (0.0444) loss_seg: 0.0403 (0.0441) loss_lansim: 0.0352 (0.0266) loss_contra: 0.0002 (0.0021) time: 2.6908 data: 0.0053 max mem: 31630 Epoch: [30] [4370/5278] eta: 0:40:50 lr: 1.3283944886157828e-05 loss: 0.0401 (0.0444) loss_seg: 0.0397 (0.0441) loss_lansim: 0.0351 (0.0266) loss_contra: 0.0002 (0.0021) time: 2.6923 data: 0.0053 max mem: 31630 Epoch: [30] [4380/5278] eta: 0:40:23 lr: 1.3281475164847392e-05 loss: 0.0394 (0.0444) loss_seg: 0.0391 (0.0441) loss_lansim: 0.0352 (0.0267) loss_contra: 0.0003 (0.0021) time: 2.6917 data: 0.0053 max mem: 31630 Epoch: [30] [4390/5278] eta: 0:39:56 lr: 1.3279005392508073e-05 loss: 0.0394 (0.0444) loss_seg: 0.0391 (0.0441) loss_lansim: 0.0352 (0.0267) loss_contra: 0.0003 (0.0021) time: 2.6913 data: 0.0052 max mem: 31630 Epoch: [30] [4400/5278] eta: 0:39:29 lr: 1.3276535569128273e-05 loss: 0.0392 (0.0444) loss_seg: 0.0389 (0.0441) loss_lansim: 0.0350 (0.0267) loss_contra: 0.0003 (0.0021) time: 2.6901 data: 0.0052 max mem: 31630 Epoch: [30] [4410/5278] eta: 0:39:02 lr: 1.3274065694696392e-05 loss: 0.0389 (0.0444) loss_seg: 0.0386 (0.0441) loss_lansim: 0.0352 (0.0267) loss_contra: 0.0004 (0.0021) time: 2.6923 data: 0.0052 max mem: 31630 Epoch: [30] [4420/5278] eta: 0:38:35 lr: 1.3271595769200806e-05 loss: 0.0389 (0.0444) loss_seg: 0.0385 (0.0441) loss_lansim: 0.0352 (0.0267) loss_contra: 0.0004 (0.0021) time: 2.6887 data: 0.0052 max mem: 31630 Epoch: [30] [4430/5278] eta: 0:38:08 lr: 1.3269125792629911e-05 loss: 0.0389 (0.0444) loss_seg: 0.0386 (0.0441) loss_lansim: 0.0352 (0.0268) loss_contra: 0.0005 (0.0021) time: 2.6914 data: 0.0052 max mem: 31630 Epoch: [30] [4440/5278] eta: 0:37:41 lr: 1.3266655764972077e-05 loss: 0.0389 (0.0444) loss_seg: 0.0385 (0.0441) loss_lansim: 0.0351 (0.0268) loss_contra: 0.0005 (0.0021) time: 2.6923 data: 0.0052 max mem: 31630 Epoch: [30] [4450/5278] eta: 0:37:14 lr: 1.3264185686215688e-05 loss: 0.0389 (0.0444) loss_seg: 0.0385 (0.0441) loss_lansim: 0.0355 (0.0268) loss_contra: 0.0005 (0.0021) time: 2.6954 data: 0.0052 max mem: 31630 Epoch: [30] [4460/5278] eta: 0:36:47 lr: 1.3261715556349117e-05 loss: 0.0395 (0.0444) loss_seg: 0.0390 (0.0441) loss_lansim: 0.0355 (0.0268) loss_contra: 0.0005 (0.0021) time: 2.7001 data: 0.0051 max mem: 31630 Epoch: [30] [4470/5278] eta: 0:36:20 lr: 1.3259245375360712e-05 loss: 0.0405 (0.0444) loss_seg: 0.0401 (0.0441) loss_lansim: 0.0355 (0.0268) loss_contra: 0.0005 (0.0021) time: 2.7005 data: 0.0052 max mem: 31630 Epoch: [30] [4480/5278] eta: 0:35:53 lr: 1.3256775143238845e-05 loss: 0.0412 (0.0444) loss_seg: 0.0409 (0.0441) loss_lansim: 0.0352 (0.0269) loss_contra: 0.0006 (0.0021) time: 2.7002 data: 0.0052 max mem: 31630 Epoch: [30] [4490/5278] eta: 0:35:26 lr: 1.3254304859971864e-05 loss: 0.0423 (0.0444) loss_seg: 0.0419 (0.0441) loss_lansim: 0.0350 (0.0269) loss_contra: 0.0006 (0.0021) time: 2.7038 data: 0.0052 max mem: 31630 Epoch: [30] [4500/5278] eta: 0:34:59 lr: 1.3251834525548128e-05 loss: 0.0431 (0.0444) loss_seg: 0.0427 (0.0441) loss_lansim: 0.0352 (0.0269) loss_contra: 0.0006 (0.0021) time: 2.7077 data: 0.0053 max mem: 31630 Epoch: [30] [4510/5278] eta: 0:34:32 lr: 1.3249364139955973e-05 loss: 0.0449 (0.0444) loss_seg: 0.0446 (0.0441) loss_lansim: 0.0355 (0.0269) loss_contra: 0.0007 (0.0021) time: 2.7087 data: 0.0053 max mem: 31630 Epoch: [30] [4520/5278] eta: 0:34:05 lr: 1.3246893703183735e-05 loss: 0.0451 (0.0444) loss_seg: 0.0447 (0.0441) loss_lansim: 0.0352 (0.0269) loss_contra: 0.0009 (0.0021) time: 2.7082 data: 0.0053 max mem: 31630 Epoch: [30] [4530/5278] eta: 0:33:39 lr: 1.3244423215219753e-05 loss: 0.0451 (0.0445) loss_seg: 0.0447 (0.0442) loss_lansim: 0.0352 (0.0270) loss_contra: 0.0009 (0.0021) time: 2.7122 data: 0.0053 max mem: 31630 Epoch: [30] [4540/5278] eta: 0:33:12 lr: 1.3241952676052364e-05 loss: 0.0457 (0.0445) loss_seg: 0.0454 (0.0442) loss_lansim: 0.0349 (0.0270) loss_contra: 0.0009 (0.0021) time: 2.7129 data: 0.0053 max mem: 31630 Epoch: [30] [4550/5278] eta: 0:32:45 lr: 1.3239482085669874e-05 loss: 0.0451 (0.0445) loss_seg: 0.0447 (0.0442) loss_lansim: 0.0348 (0.0270) loss_contra: 0.0009 (0.0021) time: 2.7137 data: 0.0053 max mem: 31630 Epoch: [30] [4560/5278] eta: 0:32:18 lr: 1.3237011444060615e-05 loss: 0.0449 (0.0445) loss_seg: 0.0446 (0.0442) loss_lansim: 0.0343 (0.0270) loss_contra: 0.0009 (0.0021) time: 2.7097 data: 0.0053 max mem: 31630 Epoch: [30] [4570/5278] eta: 0:31:51 lr: 1.3234540751212895e-05 loss: 0.0448 (0.0445) loss_seg: 0.0445 (0.0442) loss_lansim: 0.0344 (0.0270) loss_contra: 0.0009 (0.0021) time: 2.7130 data: 0.0053 max mem: 31630 Epoch: [30] [4580/5278] eta: 0:31:24 lr: 1.3232070007115032e-05 loss: 0.0451 (0.0445) loss_seg: 0.0447 (0.0442) loss_lansim: 0.0340 (0.0270) loss_contra: 0.0009 (0.0021) time: 2.7108 data: 0.0054 max mem: 31630 Epoch: [30] [4590/5278] eta: 0:30:57 lr: 1.3229599211755315e-05 loss: 0.0445 (0.0445) loss_seg: 0.0442 (0.0442) loss_lansim: 0.0339 (0.0271) loss_contra: 0.0009 (0.0021) time: 2.7094 data: 0.0054 max mem: 31630 Epoch: [30] [4600/5278] eta: 0:30:30 lr: 1.3227128365122052e-05 loss: 0.0434 (0.0445) loss_seg: 0.0431 (0.0442) loss_lansim: 0.0333 (0.0271) loss_contra: 0.0008 (0.0022) time: 2.7052 data: 0.0054 max mem: 31630 Epoch: [30] [4610/5278] eta: 0:30:03 lr: 1.3224657467203532e-05 loss: 0.0424 (0.0445) loss_seg: 0.0420 (0.0442) loss_lansim: 0.0333 (0.0271) loss_contra: 0.0007 (0.0021) time: 2.7014 data: 0.0055 max mem: 31630 Epoch: [30] [4620/5278] eta: 0:29:36 lr: 1.3222186517988052e-05 loss: 0.0428 (0.0445) loss_seg: 0.0425 (0.0442) loss_lansim: 0.0335 (0.0271) loss_contra: 0.0005 (0.0021) time: 2.7018 data: 0.0055 max mem: 31630 Epoch: [30] [4630/5278] eta: 0:29:09 lr: 1.3219715517463882e-05 loss: 0.0424 (0.0445) loss_seg: 0.0420 (0.0442) loss_lansim: 0.0336 (0.0271) loss_contra: 0.0005 (0.0021) time: 2.6980 data: 0.0055 max mem: 31630 Epoch: [30] [4640/5278] eta: 0:28:42 lr: 1.3217244465619308e-05 loss: 0.0430 (0.0445) loss_seg: 0.0425 (0.0442) loss_lansim: 0.0340 (0.0271) loss_contra: 0.0005 (0.0021) time: 2.6958 data: 0.0055 max mem: 31630 Epoch: [30] [4650/5278] eta: 0:28:15 lr: 1.32147733624426e-05 loss: 0.0420 (0.0445) loss_seg: 0.0417 (0.0442) loss_lansim: 0.0341 (0.0272) loss_contra: 0.0005 (0.0021) time: 2.6972 data: 0.0055 max mem: 31630 Epoch: [30] [4660/5278] eta: 0:27:48 lr: 1.3212302207922034e-05 loss: 0.0424 (0.0445) loss_seg: 0.0420 (0.0442) loss_lansim: 0.0342 (0.0272) loss_contra: 0.0004 (0.0021) time: 2.6986 data: 0.0056 max mem: 31630 Epoch: [30] [4670/5278] eta: 0:27:21 lr: 1.320983100204586e-05 loss: 0.0428 (0.0445) loss_seg: 0.0425 (0.0442) loss_lansim: 0.0339 (0.0272) loss_contra: 0.0004 (0.0021) time: 2.6964 data: 0.0056 max mem: 31630 Epoch: [30] [4680/5278] eta: 0:26:54 lr: 1.3207359744802341e-05 loss: 0.0428 (0.0445) loss_seg: 0.0425 (0.0442) loss_lansim: 0.0340 (0.0272) loss_contra: 0.0003 (0.0021) time: 2.6973 data: 0.0055 max mem: 31630 Epoch: [30] [4690/5278] eta: 0:26:27 lr: 1.320488843617973e-05 loss: 0.0433 (0.0445) loss_seg: 0.0430 (0.0442) loss_lansim: 0.0338 (0.0272) loss_contra: 0.0003 (0.0021) time: 2.7021 data: 0.0054 max mem: 31630 Epoch: [30] [4700/5278] eta: 0:26:00 lr: 1.3202417076166274e-05 loss: 0.0439 (0.0445) loss_seg: 0.0436 (0.0442) loss_lansim: 0.0341 (0.0272) loss_contra: 0.0003 (0.0021) time: 2.7007 data: 0.0054 max mem: 31630 Epoch: [30] [4710/5278] eta: 0:25:33 lr: 1.319994566475022e-05 loss: 0.0441 (0.0445) loss_seg: 0.0438 (0.0442) loss_lansim: 0.0341 (0.0272) loss_contra: 0.0004 (0.0021) time: 2.7036 data: 0.0053 max mem: 31630 Epoch: [30] [4720/5278] eta: 0:25:06 lr: 1.31974742019198e-05 loss: 0.0439 (0.0445) loss_seg: 0.0436 (0.0442) loss_lansim: 0.0335 (0.0272) loss_contra: 0.0005 (0.0022) time: 2.7011 data: 0.0053 max mem: 31630 Epoch: [30] [4730/5278] eta: 0:24:39 lr: 1.3195002687663241e-05 loss: 0.0437 (0.0445) loss_seg: 0.0433 (0.0442) loss_lansim: 0.0329 (0.0273) loss_contra: 0.0005 (0.0021) time: 2.6992 data: 0.0053 max mem: 31630 Epoch: [30] [4740/5278] eta: 0:24:12 lr: 1.3192531121968776e-05 loss: 0.0435 (0.0445) loss_seg: 0.0432 (0.0442) loss_lansim: 0.0327 (0.0273) loss_contra: 0.0005 (0.0021) time: 2.7022 data: 0.0053 max mem: 31630 Epoch: [30] [4750/5278] eta: 0:23:45 lr: 1.319005950482463e-05 loss: 0.0439 (0.0445) loss_seg: 0.0436 (0.0442) loss_lansim: 0.0327 (0.0273) loss_contra: 0.0003 (0.0021) time: 2.6976 data: 0.0053 max mem: 31630 Epoch: [30] [4760/5278] eta: 0:23:18 lr: 1.3187587836219011e-05 loss: 0.0433 (0.0445) loss_seg: 0.0430 (0.0442) loss_lansim: 0.0328 (0.0273) loss_contra: 0.0003 (0.0021) time: 2.6942 data: 0.0052 max mem: 31630 Epoch: [30] [4770/5278] eta: 0:22:51 lr: 1.3185116116140137e-05 loss: 0.0435 (0.0445) loss_seg: 0.0432 (0.0442) loss_lansim: 0.0331 (0.0273) loss_contra: 0.0003 (0.0021) time: 2.6922 data: 0.0052 max mem: 31630 Epoch: [30] [4780/5278] eta: 0:22:24 lr: 1.3182644344576207e-05 loss: 0.0425 (0.0445) loss_seg: 0.0421 (0.0443) loss_lansim: 0.0332 (0.0273) loss_contra: 0.0004 (0.0021) time: 2.6949 data: 0.0052 max mem: 31630 Epoch: [30] [4790/5278] eta: 0:21:57 lr: 1.3180172521515436e-05 loss: 0.0424 (0.0446) loss_seg: 0.0421 (0.0443) loss_lansim: 0.0330 (0.0273) loss_contra: 0.0004 (0.0021) time: 2.6916 data: 0.0052 max mem: 31630 Epoch: [30] [4800/5278] eta: 0:21:30 lr: 1.3177700646946e-05 loss: 0.0424 (0.0446) loss_seg: 0.0421 (0.0443) loss_lansim: 0.0331 (0.0274) loss_contra: 0.0003 (0.0021) time: 2.6932 data: 0.0052 max mem: 31630 Epoch: [30] [4810/5278] eta: 0:21:03 lr: 1.3175228720856103e-05 loss: 0.0421 (0.0446) loss_seg: 0.0419 (0.0443) loss_lansim: 0.0327 (0.0274) loss_contra: 0.0003 (0.0021) time: 2.6923 data: 0.0052 max mem: 31630 Epoch: [30] [4820/5278] eta: 0:20:36 lr: 1.3172756743233927e-05 loss: 0.0421 (0.0445) loss_seg: 0.0419 (0.0442) loss_lansim: 0.0330 (0.0274) loss_contra: 0.0003 (0.0021) time: 2.6962 data: 0.0053 max mem: 31630 Epoch: [30] [4830/5278] eta: 0:20:09 lr: 1.3170284714067658e-05 loss: 0.0421 (0.0445) loss_seg: 0.0419 (0.0443) loss_lansim: 0.0331 (0.0274) loss_contra: 0.0003 (0.0021) time: 2.6969 data: 0.0053 max mem: 31630 Epoch: [30] [4840/5278] eta: 0:19:42 lr: 1.3167812633345458e-05 loss: 0.0421 (0.0445) loss_seg: 0.0419 (0.0443) loss_lansim: 0.0331 (0.0274) loss_contra: 0.0003 (0.0021) time: 2.6954 data: 0.0053 max mem: 31630 Epoch: [30] [4850/5278] eta: 0:19:15 lr: 1.3165340501055506e-05 loss: 0.0418 (0.0445) loss_seg: 0.0414 (0.0443) loss_lansim: 0.0330 (0.0274) loss_contra: 0.0003 (0.0021) time: 2.6993 data: 0.0053 max mem: 31630 Epoch: [30] [4860/5278] eta: 0:18:48 lr: 1.3162868317185966e-05 loss: 0.0421 (0.0445) loss_seg: 0.0419 (0.0442) loss_lansim: 0.0324 (0.0274) loss_contra: 0.0003 (0.0021) time: 2.6980 data: 0.0053 max mem: 31630 Epoch: [30] [4870/5278] eta: 0:18:21 lr: 1.3160396081725004e-05 loss: 0.0411 (0.0445) loss_seg: 0.0408 (0.0442) loss_lansim: 0.0323 (0.0274) loss_contra: 0.0003 (0.0021) time: 2.6997 data: 0.0053 max mem: 31630 Epoch: [30] [4880/5278] eta: 0:17:54 lr: 1.3157923794660762e-05 loss: 0.0413 (0.0445) loss_seg: 0.0408 (0.0442) loss_lansim: 0.0315 (0.0274) loss_contra: 0.0003 (0.0021) time: 2.6985 data: 0.0053 max mem: 31630 Epoch: [30] [4890/5278] eta: 0:17:27 lr: 1.3155451455981394e-05 loss: 0.0415 (0.0445) loss_seg: 0.0409 (0.0442) loss_lansim: 0.0313 (0.0274) loss_contra: 0.0002 (0.0021) time: 2.6986 data: 0.0053 max mem: 31630 Epoch: [30] [4900/5278] eta: 0:17:00 lr: 1.3152979065675042e-05 loss: 0.0402 (0.0445) loss_seg: 0.0398 (0.0442) loss_lansim: 0.0313 (0.0274) loss_contra: 0.0003 (0.0021) time: 2.6999 data: 0.0052 max mem: 31630 Epoch: [30] [4910/5278] eta: 0:16:33 lr: 1.315050662372985e-05 loss: 0.0405 (0.0445) loss_seg: 0.0402 (0.0442) loss_lansim: 0.0313 (0.0275) loss_contra: 0.0003 (0.0021) time: 2.7007 data: 0.0053 max mem: 31630 Epoch: [30] [4920/5278] eta: 0:16:06 lr: 1.3148034130133954e-05 loss: 0.0415 (0.0445) loss_seg: 0.0409 (0.0442) loss_lansim: 0.0311 (0.0275) loss_contra: 0.0003 (0.0021) time: 2.6999 data: 0.0052 max mem: 31630 Epoch: [30] [4930/5278] eta: 0:15:39 lr: 1.314556158487547e-05 loss: 0.0420 (0.0445) loss_seg: 0.0417 (0.0442) loss_lansim: 0.0308 (0.0275) loss_contra: 0.0003 (0.0021) time: 2.6998 data: 0.0052 max mem: 31630 Epoch: [30] [4940/5278] eta: 0:15:12 lr: 1.3143088987942531e-05 loss: 0.0420 (0.0445) loss_seg: 0.0417 (0.0442) loss_lansim: 0.0306 (0.0275) loss_contra: 0.0003 (0.0021) time: 2.7034 data: 0.0053 max mem: 31630 Epoch: [30] [4950/5278] eta: 0:14:45 lr: 1.3140616339323253e-05 loss: 0.0428 (0.0445) loss_seg: 0.0425 (0.0442) loss_lansim: 0.0305 (0.0275) loss_contra: 0.0004 (0.0021) time: 2.6992 data: 0.0053 max mem: 31630 Epoch: [30] [4960/5278] eta: 0:14:18 lr: 1.3138143639005751e-05 loss: 0.0428 (0.0445) loss_seg: 0.0425 (0.0442) loss_lansim: 0.0305 (0.0275) loss_contra: 0.0003 (0.0021) time: 2.7020 data: 0.0053 max mem: 31630 Epoch: [30] [4970/5278] eta: 0:13:51 lr: 1.3135670886978126e-05 loss: 0.0435 (0.0446) loss_seg: 0.0432 (0.0443) loss_lansim: 0.0304 (0.0275) loss_contra: 0.0003 (0.0021) time: 2.7004 data: 0.0053 max mem: 31630 Epoch: [30] [4980/5278] eta: 0:13:24 lr: 1.3133198083228484e-05 loss: 0.0437 (0.0446) loss_seg: 0.0434 (0.0443) loss_lansim: 0.0305 (0.0275) loss_contra: 0.0003 (0.0021) time: 2.7029 data: 0.0054 max mem: 31630 Epoch: [30] [4990/5278] eta: 0:12:57 lr: 1.3130725227744923e-05 loss: 0.0435 (0.0446) loss_seg: 0.0432 (0.0443) loss_lansim: 0.0307 (0.0275) loss_contra: 0.0003 (0.0021) time: 2.7029 data: 0.0054 max mem: 31630 Epoch: [30] [5000/5278] eta: 0:12:30 lr: 1.3128252320515539e-05 loss: 0.0445 (0.0446) loss_seg: 0.0442 (0.0443) loss_lansim: 0.0305 (0.0275) loss_contra: 0.0002 (0.0021) time: 2.7007 data: 0.0055 max mem: 31630 Epoch: [30] [5010/5278] eta: 0:12:03 lr: 1.3125779361528407e-05 loss: 0.0441 (0.0446) loss_seg: 0.0438 (0.0443) loss_lansim: 0.0311 (0.0275) loss_contra: 0.0002 (0.0021) time: 2.7030 data: 0.0055 max mem: 31630 Epoch: [30] [5020/5278] eta: 0:11:36 lr: 1.3123306350771614e-05 loss: 0.0440 (0.0446) loss_seg: 0.0437 (0.0443) loss_lansim: 0.0311 (0.0275) loss_contra: 0.0002 (0.0021) time: 2.7027 data: 0.0055 max mem: 31630 Epoch: [30] [5030/5278] eta: 0:11:09 lr: 1.3120833288233238e-05 loss: 0.0433 (0.0446) loss_seg: 0.0429 (0.0443) loss_lansim: 0.0311 (0.0275) loss_contra: 0.0002 (0.0021) time: 2.7040 data: 0.0054 max mem: 31630 Epoch: [30] [5040/5278] eta: 0:10:42 lr: 1.3118360173901356e-05 loss: 0.0427 (0.0446) loss_seg: 0.0423 (0.0443) loss_lansim: 0.0312 (0.0276) loss_contra: 0.0002 (0.0021) time: 2.7022 data: 0.0054 max mem: 31630 Epoch: [30] [5050/5278] eta: 0:10:15 lr: 1.311588700776402e-05 loss: 0.0413 (0.0446) loss_seg: 0.0409 (0.0443) loss_lansim: 0.0310 (0.0276) loss_contra: 0.0002 (0.0021) time: 2.7047 data: 0.0054 max mem: 31630 Epoch: [30] [5060/5278] eta: 0:09:48 lr: 1.3113413789809298e-05 loss: 0.0418 (0.0446) loss_seg: 0.0415 (0.0443) loss_lansim: 0.0307 (0.0276) loss_contra: 0.0002 (0.0021) time: 2.7058 data: 0.0054 max mem: 31630 Epoch: [30] [5070/5278] eta: 0:09:21 lr: 1.3110940520025242e-05 loss: 0.0402 (0.0446) loss_seg: 0.0398 (0.0443) loss_lansim: 0.0307 (0.0276) loss_contra: 0.0002 (0.0021) time: 2.7039 data: 0.0054 max mem: 31630 Epoch: [30] [5080/5278] eta: 0:08:54 lr: 1.310846719839991e-05 loss: 0.0412 (0.0446) loss_seg: 0.0409 (0.0443) loss_lansim: 0.0306 (0.0276) loss_contra: 0.0002 (0.0021) time: 2.6997 data: 0.0053 max mem: 31630 Epoch: [30] [5090/5278] eta: 0:08:27 lr: 1.3105993824921337e-05 loss: 0.0414 (0.0446) loss_seg: 0.0411 (0.0443) loss_lansim: 0.0304 (0.0276) loss_contra: 0.0003 (0.0021) time: 2.6993 data: 0.0053 max mem: 31630 Epoch: [30] [5100/5278] eta: 0:08:00 lr: 1.3103520399577565e-05 loss: 0.0412 (0.0446) loss_seg: 0.0409 (0.0443) loss_lansim: 0.0303 (0.0276) loss_contra: 0.0003 (0.0021) time: 2.6982 data: 0.0053 max mem: 31630 Epoch: [30] [5110/5278] eta: 0:07:33 lr: 1.3101046922356627e-05 loss: 0.0402 (0.0446) loss_seg: 0.0398 (0.0443) loss_lansim: 0.0301 (0.0276) loss_contra: 0.0003 (0.0021) time: 2.6989 data: 0.0053 max mem: 31630 Epoch: [30] [5120/5278] eta: 0:07:06 lr: 1.3098573393246563e-05 loss: 0.0400 (0.0446) loss_seg: 0.0397 (0.0443) loss_lansim: 0.0301 (0.0276) loss_contra: 0.0003 (0.0021) time: 2.6966 data: 0.0053 max mem: 31630 Epoch: [30] [5130/5278] eta: 0:06:39 lr: 1.3096099812235379e-05 loss: 0.0402 (0.0446) loss_seg: 0.0398 (0.0443) loss_lansim: 0.0301 (0.0276) loss_contra: 0.0003 (0.0021) time: 2.6971 data: 0.0053 max mem: 31630 Epoch: [30] [5140/5278] eta: 0:06:12 lr: 1.3093626179311102e-05 loss: 0.0412 (0.0446) loss_seg: 0.0408 (0.0443) loss_lansim: 0.0301 (0.0276) loss_contra: 0.0003 (0.0021) time: 2.6966 data: 0.0054 max mem: 31630 Epoch: [30] [5150/5278] eta: 0:05:45 lr: 1.3091152494461746e-05 loss: 0.0415 (0.0446) loss_seg: 0.0413 (0.0443) loss_lansim: 0.0301 (0.0276) loss_contra: 0.0003 (0.0021) time: 2.6966 data: 0.0054 max mem: 31630 Epoch: [30] [5160/5278] eta: 0:05:18 lr: 1.3088678757675315e-05 loss: 0.0414 (0.0446) loss_seg: 0.0411 (0.0443) loss_lansim: 0.0301 (0.0276) loss_contra: 0.0003 (0.0021) time: 2.6980 data: 0.0054 max mem: 31630 Epoch: [30] [5170/5278] eta: 0:04:51 lr: 1.3086204968939822e-05 loss: 0.0415 (0.0446) loss_seg: 0.0413 (0.0443) loss_lansim: 0.0301 (0.0276) loss_contra: 0.0003 (0.0021) time: 2.7021 data: 0.0054 max mem: 31630 Epoch: [30] [5180/5278] eta: 0:04:24 lr: 1.308373112824325e-05 loss: 0.0415 (0.0446) loss_seg: 0.0413 (0.0443) loss_lansim: 0.0301 (0.0276) loss_contra: 0.0003 (0.0021) time: 2.7073 data: 0.0054 max mem: 31630 Epoch: [30] [5190/5278] eta: 0:03:57 lr: 1.3081257235573593e-05 loss: 0.0415 (0.0446) loss_seg: 0.0412 (0.0443) loss_lansim: 0.0302 (0.0276) loss_contra: 0.0003 (0.0021) time: 2.7052 data: 0.0054 max mem: 31630 Epoch: [30] [5200/5278] eta: 0:03:30 lr: 1.3078783290918844e-05 loss: 0.0415 (0.0446) loss_seg: 0.0412 (0.0443) loss_lansim: 0.0304 (0.0277) loss_contra: 0.0002 (0.0021) time: 2.7110 data: 0.0053 max mem: 31630 Epoch: [30] [5210/5278] eta: 0:03:03 lr: 1.3076309294266986e-05 loss: 0.0421 (0.0446) loss_seg: 0.0418 (0.0443) loss_lansim: 0.0305 (0.0277) loss_contra: 0.0002 (0.0021) time: 2.7073 data: 0.0054 max mem: 31630 Epoch: [30] [5220/5278] eta: 0:02:36 lr: 1.3073835245605986e-05 loss: 0.0429 (0.0446) loss_seg: 0.0427 (0.0443) loss_lansim: 0.0306 (0.0277) loss_contra: 0.0002 (0.0021) time: 2.7080 data: 0.0054 max mem: 31630 Epoch: [30] [5230/5278] eta: 0:02:09 lr: 1.3071361144923819e-05 loss: 0.0431 (0.0446) loss_seg: 0.0428 (0.0443) loss_lansim: 0.0302 (0.0277) loss_contra: 0.0002 (0.0021) time: 2.7101 data: 0.0054 max mem: 31630 Epoch: [30] [5240/5278] eta: 0:01:42 lr: 1.3068886992208448e-05 loss: 0.0432 (0.0446) loss_seg: 0.0430 (0.0443) loss_lansim: 0.0304 (0.0277) loss_contra: 0.0002 (0.0021) time: 2.7094 data: 0.0055 max mem: 31630 Epoch: [30] [5250/5278] eta: 0:01:15 lr: 1.306641278744784e-05 loss: 0.0433 (0.0446) loss_seg: 0.0430 (0.0443) loss_lansim: 0.0306 (0.0277) loss_contra: 0.0002 (0.0021) time: 2.7117 data: 0.0056 max mem: 31630 Epoch: [30] [5260/5278] eta: 0:00:48 lr: 1.3063938530629944e-05 loss: 0.0438 (0.0446) loss_seg: 0.0435 (0.0443) loss_lansim: 0.0304 (0.0277) loss_contra: 0.0002 (0.0021) time: 2.7086 data: 0.0056 max mem: 31630 Epoch: [30] [5270/5278] eta: 0:00:21 lr: 1.3061464221742706e-05 loss: 0.0433 (0.0446) loss_seg: 0.0430 (0.0443) loss_lansim: 0.0311 (0.0277) loss_contra: 0.0002 (0.0021) time: 2.7110 data: 0.0056 max mem: 31630 Epoch: [30] Total time: 3:57:28 Test: [ 0/2573] eta: 0:50:02 time: 1.1670 data: 1.0007 max mem: 31630 Test: [ 100/2573] eta: 0:06:07 time: 0.1383 data: 0.0014 max mem: 31630 Test: [ 200/2573] eta: 0:05:46 time: 0.1435 data: 0.0015 max mem: 31630 Test: [ 300/2573] eta: 0:05:25 time: 0.1381 data: 0.0014 max mem: 31630 Test: [ 400/2573] eta: 0:05:09 time: 0.1403 data: 0.0014 max mem: 31630 Test: [ 500/2573] eta: 0:04:55 time: 0.1414 data: 0.0014 max mem: 31630 Test: [ 600/2573] eta: 0:04:41 time: 0.1429 data: 0.0014 max mem: 31630 Test: [ 700/2573] eta: 0:04:27 time: 0.1467 data: 0.0014 max mem: 31630 Test: [ 800/2573] eta: 0:04:13 time: 0.1438 data: 0.0014 max mem: 31630 Test: [ 900/2573] eta: 0:03:59 time: 0.1434 data: 0.0014 max mem: 31630 Test: [1000/2573] eta: 0:03:45 time: 0.1418 data: 0.0014 max mem: 31630 Test: [1100/2573] eta: 0:03:30 time: 0.1413 data: 0.0014 max mem: 31630 Test: [1200/2573] eta: 0:03:16 time: 0.1437 data: 0.0014 max mem: 31630 Test: [1300/2573] eta: 0:03:01 time: 0.1423 data: 0.0015 max mem: 31630 Test: [1400/2573] eta: 0:02:47 time: 0.1388 data: 0.0015 max mem: 31630 Test: [1500/2573] eta: 0:02:33 time: 0.1431 data: 0.0015 max mem: 31630 Test: [1600/2573] eta: 0:02:18 time: 0.1426 data: 0.0015 max mem: 31630 Test: [1700/2573] eta: 0:02:04 time: 0.1444 data: 0.0015 max mem: 31630 Test: [1800/2573] eta: 0:01:50 time: 0.1416 data: 0.0015 max mem: 31630 Test: [1900/2573] eta: 0:01:35 time: 0.1398 data: 0.0014 max mem: 31630 Test: [2000/2573] eta: 0:01:21 time: 0.1387 data: 0.0014 max mem: 31630 Test: [2100/2573] eta: 0:01:07 time: 0.1432 data: 0.0014 max mem: 31630 Test: [2200/2573] eta: 0:00:53 time: 0.1381 data: 0.0014 max mem: 31630 Test: [2300/2573] eta: 0:00:38 time: 0.1432 data: 0.0014 max mem: 31630 Test: [2400/2573] eta: 0:00:24 time: 0.1410 data: 0.0014 max mem: 31630 Test: [2500/2573] eta: 0:00:10 time: 0.1431 data: 0.0014 max mem: 31630 Test: Total time: 0:06:06 Final results: precision@0.5 = 69.46 precision@0.6 = 65.11 precision@0.7 = 58.62 precision@0.8 = 47.37 precision@0.9 = 23.57 overall IoU = 58.70 mean IoU = 61.41 Epoch: [31] [ 0/5278] eta: 6:26:26 lr: 1.3059484737134892e-05 loss: 0.0237 (0.0237) loss_seg: 0.0234 (0.0234) loss_lansim: 0.0250 (0.0250) loss_contra: 0.0002 (0.0002) time: 4.3930 data: 1.4727 max mem: 31630 Epoch: [31] [ 10/5278] eta: 4:13:33 lr: 1.3057010334492462e-05 loss: 0.0331 (0.0381) loss_seg: 0.0328 (0.0378) loss_lansim: 0.0309 (0.0304) loss_contra: 0.0006 (0.0010) time: 2.8879 data: 0.1389 max mem: 31630 Epoch: [31] [ 20/5278] eta: 4:05:23 lr: 1.3054535879746924e-05 loss: 0.0353 (0.0392) loss_seg: 0.0350 (0.0389) loss_lansim: 0.0301 (0.0303) loss_contra: 0.0003 (0.0009) time: 2.8003 data: 0.0753 max mem: 31630 Epoch: [31] [ 30/5278] eta: 4:02:40 lr: 1.3052061372886212e-05 loss: 0.0353 (0.0388) loss_seg: 0.0350 (0.0385) loss_lansim: 0.0304 (0.0313) loss_contra: 0.0003 (0.0010) time: 2.7746 data: 0.0528 max mem: 31630 Epoch: [31] [ 40/5278] eta: 4:00:47 lr: 1.3049586813898238e-05 loss: 0.0369 (0.0388) loss_seg: 0.0367 (0.0385) loss_lansim: 0.0301 (0.0309) loss_contra: 0.0003 (0.0009) time: 2.7582 data: 0.0414 max mem: 31630 Epoch: [31] [ 50/5278] eta: 3:59:09 lr: 1.3047112202770928e-05 loss: 0.0382 (0.0397) loss_seg: 0.0378 (0.0394) loss_lansim: 0.0300 (0.0310) loss_contra: 0.0003 (0.0009) time: 2.7448 data: 0.0344 max mem: 31630 Epoch: [31] [ 60/5278] eta: 3:58:31 lr: 1.3044637539492194e-05 loss: 0.0382 (0.0397) loss_seg: 0.0379 (0.0393) loss_lansim: 0.0300 (0.0311) loss_contra: 0.0003 (0.0009) time: 2.7428 data: 0.0296 max mem: 31630 Epoch: [31] [ 70/5278] eta: 3:57:17 lr: 1.3042162824049948e-05 loss: 0.0382 (0.0398) loss_seg: 0.0378 (0.0395) loss_lansim: 0.0296 (0.0310) loss_contra: 0.0003 (0.0009) time: 2.7337 data: 0.0262 max mem: 31630 Epoch: [31] [ 80/5278] eta: 3:56:16 lr: 1.3039688056432083e-05 loss: 0.0382 (0.0398) loss_seg: 0.0378 (0.0395) loss_lansim: 0.0295 (0.0308) loss_contra: 0.0003 (0.0011) time: 2.7273 data: 0.0236 max mem: 31630 Epoch: [31] [ 90/5278] eta: 3:55:52 lr: 1.3037213236626502e-05 loss: 0.0382 (0.0401) loss_seg: 0.0379 (0.0398) loss_lansim: 0.0295 (0.0307) loss_contra: 0.0004 (0.0017) time: 2.7280 data: 0.0217 max mem: 31630 Epoch: [31] [ 100/5278] eta: 3:54:51 lr: 1.3034738364621093e-05 loss: 0.0403 (0.0405) loss_seg: 0.0400 (0.0402) loss_lansim: 0.0295 (0.0307) loss_contra: 0.0004 (0.0016) time: 2.7047 data: 0.0056 max mem: 31630 Epoch: [31] [ 110/5278] eta: 3:54:16 lr: 1.3032263440403752e-05 loss: 0.0408 (0.0411) loss_seg: 0.0405 (0.0408) loss_lansim: 0.0297 (0.0309) loss_contra: 0.0004 (0.0016) time: 2.7015 data: 0.0056 max mem: 31630 Epoch: [31] [ 120/5278] eta: 3:53:40 lr: 1.3029788463962347e-05 loss: 0.0403 (0.0410) loss_seg: 0.0400 (0.0407) loss_lansim: 0.0297 (0.0308) loss_contra: 0.0004 (0.0016) time: 2.7010 data: 0.0056 max mem: 31630 Epoch: [31] [ 130/5278] eta: 3:53:07 lr: 1.302731343528476e-05 loss: 0.0409 (0.0411) loss_seg: 0.0407 (0.0408) loss_lansim: 0.0296 (0.0307) loss_contra: 0.0005 (0.0024) time: 2.6992 data: 0.0056 max mem: 31630 Epoch: [31] [ 140/5278] eta: 3:52:41 lr: 1.302483835435886e-05 loss: 0.0413 (0.0412) loss_seg: 0.0410 (0.0408) loss_lansim: 0.0300 (0.0309) loss_contra: 0.0005 (0.0035) time: 2.7006 data: 0.0056 max mem: 31630 Epoch: [31] [ 150/5278] eta: 3:51:58 lr: 1.3022363221172518e-05 loss: 0.0407 (0.0408) loss_seg: 0.0404 (0.0405) loss_lansim: 0.0300 (0.0308) loss_contra: 0.0005 (0.0034) time: 2.6987 data: 0.0056 max mem: 31630 Epoch: [31] [ 160/5278] eta: 3:51:19 lr: 1.3019888035713582e-05 loss: 0.0400 (0.0408) loss_seg: 0.0397 (0.0405) loss_lansim: 0.0300 (0.0309) loss_contra: 0.0005 (0.0033) time: 2.6930 data: 0.0056 max mem: 31630 Epoch: [31] [ 170/5278] eta: 3:50:46 lr: 1.301741279796991e-05 loss: 0.0402 (0.0409) loss_seg: 0.0398 (0.0406) loss_lansim: 0.0300 (0.0308) loss_contra: 0.0005 (0.0034) time: 2.6944 data: 0.0056 max mem: 31630 Epoch: [31] [ 180/5278] eta: 3:50:08 lr: 1.301493750792935e-05 loss: 0.0406 (0.0419) loss_seg: 0.0402 (0.0415) loss_lansim: 0.0303 (0.0309) loss_contra: 0.0005 (0.0033) time: 2.6934 data: 0.0055 max mem: 31630 Epoch: [31] [ 190/5278] eta: 3:49:28 lr: 1.301246216557975e-05 loss: 0.0409 (0.0422) loss_seg: 0.0402 (0.0419) loss_lansim: 0.0301 (0.0308) loss_contra: 0.0004 (0.0032) time: 2.6861 data: 0.0055 max mem: 31630 Epoch: [31] [ 200/5278] eta: 3:49:03 lr: 1.3009986770908952e-05 loss: 0.0402 (0.0427) loss_seg: 0.0398 (0.0423) loss_lansim: 0.0305 (0.0309) loss_contra: 0.0004 (0.0031) time: 2.6914 data: 0.0054 max mem: 31630 Epoch: [31] [ 210/5278] eta: 3:48:29 lr: 1.3007511323904774e-05 loss: 0.0392 (0.0429) loss_seg: 0.0389 (0.0426) loss_lansim: 0.0303 (0.0309) loss_contra: 0.0004 (0.0031) time: 2.6887 data: 0.0054 max mem: 31630 Epoch: [31] [ 220/5278] eta: 3:48:00 lr: 1.300503582455505e-05 loss: 0.0400 (0.0430) loss_seg: 0.0397 (0.0427) loss_lansim: 0.0307 (0.0310) loss_contra: 0.0003 (0.0031) time: 2.6884 data: 0.0053 max mem: 31630 Epoch: [31] [ 230/5278] eta: 3:47:27 lr: 1.3002560272847602e-05 loss: 0.0402 (0.0437) loss_seg: 0.0399 (0.0433) loss_lansim: 0.0301 (0.0309) loss_contra: 0.0002 (0.0032) time: 2.6859 data: 0.0053 max mem: 31630 Epoch: [31] [ 240/5278] eta: 3:46:56 lr: 1.3000084668770255e-05 loss: 0.0404 (0.0438) loss_seg: 0.0401 (0.0435) loss_lansim: 0.0299 (0.0309) loss_contra: 0.0002 (0.0032) time: 2.6822 data: 0.0053 max mem: 31630 Epoch: [31] [ 250/5278] eta: 3:46:28 lr: 1.2997609012310803e-05 loss: 0.0415 (0.0439) loss_seg: 0.0413 (0.0436) loss_lansim: 0.0301 (0.0309) loss_contra: 0.0002 (0.0034) time: 2.6848 data: 0.0052 max mem: 31630 Epoch: [31] [ 260/5278] eta: 3:46:00 lr: 1.2995133303457057e-05 loss: 0.0428 (0.0441) loss_seg: 0.0425 (0.0438) loss_lansim: 0.0301 (0.0309) loss_contra: 0.0002 (0.0033) time: 2.6872 data: 0.0052 max mem: 31630 Epoch: [31] [ 270/5278] eta: 3:45:36 lr: 1.299265754219682e-05 loss: 0.0437 (0.0443) loss_seg: 0.0434 (0.0439) loss_lansim: 0.0302 (0.0309) loss_contra: 0.0002 (0.0032) time: 2.6897 data: 0.0052 max mem: 31630 Epoch: [31] [ 280/5278] eta: 3:45:12 lr: 1.2990181728517894e-05 loss: 0.0434 (0.0442) loss_seg: 0.0431 (0.0438) loss_lansim: 0.0301 (0.0308) loss_contra: 0.0002 (0.0032) time: 2.6943 data: 0.0053 max mem: 31630 Epoch: [31] [ 290/5278] eta: 3:44:44 lr: 1.2987705862408054e-05 loss: 0.0428 (0.0441) loss_seg: 0.0425 (0.0437) loss_lansim: 0.0302 (0.0308) loss_contra: 0.0002 (0.0031) time: 2.6981 data: 0.0054 max mem: 31630 Epoch: [31] [ 300/5278] eta: 3:44:19 lr: 1.2985229943855088e-05 loss: 0.0422 (0.0439) loss_seg: 0.0418 (0.0436) loss_lansim: 0.0301 (0.0308) loss_contra: 0.0002 (0.0031) time: 2.6981 data: 0.0055 max mem: 31630 Epoch: [31] [ 310/5278] eta: 3:43:48 lr: 1.2982753972846776e-05 loss: 0.0422 (0.0439) loss_seg: 0.0418 (0.0436) loss_lansim: 0.0298 (0.0308) loss_contra: 0.0002 (0.0030) time: 2.6982 data: 0.0055 max mem: 31630 Epoch: [31] [ 320/5278] eta: 3:43:20 lr: 1.2980277949370898e-05 loss: 0.0415 (0.0436) loss_seg: 0.0408 (0.0433) loss_lansim: 0.0298 (0.0308) loss_contra: 0.0002 (0.0030) time: 2.6987 data: 0.0055 max mem: 31630 Epoch: [31] [ 330/5278] eta: 3:42:49 lr: 1.2977801873415205e-05 loss: 0.0399 (0.0435) loss_seg: 0.0396 (0.0431) loss_lansim: 0.0298 (0.0308) loss_contra: 0.0002 (0.0029) time: 2.6985 data: 0.0055 max mem: 31630 Epoch: [31] [ 340/5278] eta: 3:42:19 lr: 1.2975325744967467e-05 loss: 0.0398 (0.0435) loss_seg: 0.0395 (0.0431) loss_lansim: 0.0293 (0.0307) loss_contra: 0.0002 (0.0028) time: 2.6982 data: 0.0055 max mem: 31630 Epoch: [31] [ 350/5278] eta: 3:41:51 lr: 1.2972849564015446e-05 loss: 0.0398 (0.0436) loss_seg: 0.0395 (0.0433) loss_lansim: 0.0291 (0.0307) loss_contra: 0.0002 (0.0028) time: 2.6976 data: 0.0054 max mem: 31630 Epoch: [31] [ 360/5278] eta: 3:41:26 lr: 1.297037333054689e-05 loss: 0.0394 (0.0434) loss_seg: 0.0390 (0.0431) loss_lansim: 0.0290 (0.0306) loss_contra: 0.0002 (0.0027) time: 2.6994 data: 0.0054 max mem: 31630 Epoch: [31] [ 370/5278] eta: 3:40:58 lr: 1.2967897044549537e-05 loss: 0.0391 (0.0434) loss_seg: 0.0388 (0.0430) loss_lansim: 0.0287 (0.0306) loss_contra: 0.0002 (0.0027) time: 2.6973 data: 0.0053 max mem: 31630 Epoch: [31] [ 380/5278] eta: 3:40:28 lr: 1.2965420706011136e-05 loss: 0.0394 (0.0435) loss_seg: 0.0390 (0.0431) loss_lansim: 0.0287 (0.0306) loss_contra: 0.0003 (0.0026) time: 2.6932 data: 0.0053 max mem: 31630 Epoch: [31] [ 390/5278] eta: 3:40:01 lr: 1.2962944314919414e-05 loss: 0.0398 (0.0434) loss_seg: 0.0395 (0.0431) loss_lansim: 0.0285 (0.0305) loss_contra: 0.0003 (0.0028) time: 2.6935 data: 0.0052 max mem: 31630 Epoch: [31] [ 400/5278] eta: 3:39:33 lr: 1.2960467871262113e-05 loss: 0.0394 (0.0433) loss_seg: 0.0390 (0.0430) loss_lansim: 0.0285 (0.0305) loss_contra: 0.0003 (0.0028) time: 2.6915 data: 0.0052 max mem: 31630 Epoch: [31] [ 410/5278] eta: 3:39:07 lr: 1.2957991375026943e-05 loss: 0.0383 (0.0432) loss_seg: 0.0381 (0.0429) loss_lansim: 0.0285 (0.0304) loss_contra: 0.0003 (0.0028) time: 2.6938 data: 0.0052 max mem: 31630 Epoch: [31] [ 420/5278] eta: 3:38:40 lr: 1.2955514826201625e-05 loss: 0.0416 (0.0434) loss_seg: 0.0412 (0.0430) loss_lansim: 0.0284 (0.0305) loss_contra: 0.0003 (0.0027) time: 2.6944 data: 0.0053 max mem: 31630 Epoch: [31] [ 430/5278] eta: 3:38:10 lr: 1.2953038224773876e-05 loss: 0.0422 (0.0434) loss_seg: 0.0419 (0.0431) loss_lansim: 0.0285 (0.0304) loss_contra: 0.0003 (0.0027) time: 2.6941 data: 0.0053 max mem: 31630 Epoch: [31] [ 440/5278] eta: 3:37:49 lr: 1.29505615707314e-05 loss: 0.0422 (0.0434) loss_seg: 0.0419 (0.0430) loss_lansim: 0.0287 (0.0305) loss_contra: 0.0003 (0.0027) time: 2.7017 data: 0.0054 max mem: 31630 Epoch: [31] [ 450/5278] eta: 3:37:20 lr: 1.2948084864061908e-05 loss: 0.0401 (0.0434) loss_seg: 0.0397 (0.0431) loss_lansim: 0.0287 (0.0304) loss_contra: 0.0003 (0.0027) time: 2.7006 data: 0.0054 max mem: 31630 Epoch: [31] [ 460/5278] eta: 3:36:52 lr: 1.294560810475308e-05 loss: 0.0391 (0.0432) loss_seg: 0.0388 (0.0429) loss_lansim: 0.0288 (0.0305) loss_contra: 0.0004 (0.0026) time: 2.6981 data: 0.0054 max mem: 31630 Epoch: [31] [ 470/5278] eta: 3:36:23 lr: 1.2943131292792615e-05 loss: 0.0400 (0.0433) loss_seg: 0.0396 (0.0430) loss_lansim: 0.0290 (0.0305) loss_contra: 0.0003 (0.0026) time: 2.6964 data: 0.0054 max mem: 31630 Epoch: [31] [ 480/5278] eta: 3:35:55 lr: 1.29406544281682e-05 loss: 0.0391 (0.0435) loss_seg: 0.0386 (0.0432) loss_lansim: 0.0290 (0.0305) loss_contra: 0.0003 (0.0026) time: 2.6976 data: 0.0054 max mem: 31630 Epoch: [31] [ 490/5278] eta: 3:35:30 lr: 1.2938177510867517e-05 loss: 0.0403 (0.0438) loss_seg: 0.0397 (0.0434) loss_lansim: 0.0296 (0.0305) loss_contra: 0.0003 (0.0027) time: 2.7000 data: 0.0054 max mem: 31630 Epoch: [31] [ 500/5278] eta: 3:35:05 lr: 1.2935700540878232e-05 loss: 0.0413 (0.0439) loss_seg: 0.0411 (0.0435) loss_lansim: 0.0292 (0.0304) loss_contra: 0.0003 (0.0027) time: 2.7028 data: 0.0054 max mem: 31630 Epoch: [31] [ 510/5278] eta: 3:34:36 lr: 1.2933223518188018e-05 loss: 0.0405 (0.0438) loss_seg: 0.0401 (0.0435) loss_lansim: 0.0292 (0.0304) loss_contra: 0.0004 (0.0027) time: 2.7006 data: 0.0053 max mem: 31630 Epoch: [31] [ 520/5278] eta: 3:34:08 lr: 1.2930746442784536e-05 loss: 0.0400 (0.0437) loss_seg: 0.0397 (0.0433) loss_lansim: 0.0292 (0.0304) loss_contra: 0.0004 (0.0026) time: 2.6987 data: 0.0053 max mem: 31630 Epoch: [31] [ 530/5278] eta: 3:33:41 lr: 1.2928269314655455e-05 loss: 0.0385 (0.0436) loss_seg: 0.0382 (0.0433) loss_lansim: 0.0290 (0.0303) loss_contra: 0.0004 (0.0026) time: 2.7010 data: 0.0052 max mem: 31630 Epoch: [31] [ 540/5278] eta: 3:33:12 lr: 1.292579213378841e-05 loss: 0.0390 (0.0436) loss_seg: 0.0386 (0.0433) loss_lansim: 0.0290 (0.0304) loss_contra: 0.0003 (0.0026) time: 2.6930 data: 0.0052 max mem: 31630 Epoch: [31] [ 550/5278] eta: 3:32:46 lr: 1.2923314900171058e-05 loss: 0.0400 (0.0436) loss_seg: 0.0397 (0.0433) loss_lansim: 0.0290 (0.0304) loss_contra: 0.0004 (0.0027) time: 2.6962 data: 0.0052 max mem: 31630 Epoch: [31] [ 560/5278] eta: 3:32:17 lr: 1.2920837613791037e-05 loss: 0.0402 (0.0435) loss_seg: 0.0397 (0.0432) loss_lansim: 0.0292 (0.0304) loss_contra: 0.0003 (0.0027) time: 2.6947 data: 0.0052 max mem: 31630 Epoch: [31] [ 570/5278] eta: 3:31:50 lr: 1.291836027463599e-05 loss: 0.0389 (0.0433) loss_seg: 0.0386 (0.0429) loss_lansim: 0.0292 (0.0304) loss_contra: 0.0004 (0.0028) time: 2.6976 data: 0.0052 max mem: 31630 Epoch: [31] [ 580/5278] eta: 3:31:23 lr: 1.2915882882693536e-05 loss: 0.0379 (0.0432) loss_seg: 0.0376 (0.0428) loss_lansim: 0.0290 (0.0304) loss_contra: 0.0004 (0.0028) time: 2.6976 data: 0.0052 max mem: 31630 Epoch: [31] [ 590/5278] eta: 3:30:55 lr: 1.2913405437951304e-05 loss: 0.0372 (0.0431) loss_seg: 0.0369 (0.0428) loss_lansim: 0.0289 (0.0303) loss_contra: 0.0003 (0.0027) time: 2.6937 data: 0.0052 max mem: 31630 Epoch: [31] [ 600/5278] eta: 3:30:28 lr: 1.2910927940396914e-05 loss: 0.0363 (0.0430) loss_seg: 0.0360 (0.0427) loss_lansim: 0.0290 (0.0303) loss_contra: 0.0002 (0.0027) time: 2.6921 data: 0.0052 max mem: 31630 Epoch: [31] [ 610/5278] eta: 3:29:59 lr: 1.290845039001798e-05 loss: 0.0363 (0.0430) loss_seg: 0.0360 (0.0427) loss_lansim: 0.0293 (0.0304) loss_contra: 0.0002 (0.0027) time: 2.6914 data: 0.0052 max mem: 31630 Epoch: [31] [ 620/5278] eta: 3:29:31 lr: 1.290597278680211e-05 loss: 0.0374 (0.0430) loss_seg: 0.0371 (0.0427) loss_lansim: 0.0293 (0.0304) loss_contra: 0.0002 (0.0026) time: 2.6911 data: 0.0052 max mem: 31630 Epoch: [31] [ 630/5278] eta: 3:29:03 lr: 1.29034951307369e-05 loss: 0.0378 (0.0430) loss_seg: 0.0375 (0.0427) loss_lansim: 0.0300 (0.0304) loss_contra: 0.0002 (0.0026) time: 2.6905 data: 0.0052 max mem: 31630 Epoch: [31] [ 640/5278] eta: 3:28:35 lr: 1.2901017421809955e-05 loss: 0.0377 (0.0430) loss_seg: 0.0375 (0.0427) loss_lansim: 0.0300 (0.0304) loss_contra: 0.0002 (0.0026) time: 2.6900 data: 0.0051 max mem: 31630 Epoch: [31] [ 650/5278] eta: 3:28:07 lr: 1.289853966000887e-05 loss: 0.0377 (0.0429) loss_seg: 0.0375 (0.0426) loss_lansim: 0.0294 (0.0304) loss_contra: 0.0002 (0.0026) time: 2.6883 data: 0.0051 max mem: 31630 Epoch: [31] [ 660/5278] eta: 3:27:39 lr: 1.2896061845321217e-05 loss: 0.0376 (0.0429) loss_seg: 0.0373 (0.0425) loss_lansim: 0.0297 (0.0304) loss_contra: 0.0002 (0.0025) time: 2.6879 data: 0.0051 max mem: 31630 Epoch: [31] [ 670/5278] eta: 3:27:14 lr: 1.2893583977734583e-05 loss: 0.0379 (0.0428) loss_seg: 0.0376 (0.0424) loss_lansim: 0.0290 (0.0304) loss_contra: 0.0002 (0.0025) time: 2.6900 data: 0.0051 max mem: 31630 Epoch: [31] [ 680/5278] eta: 3:26:45 lr: 1.2891106057236543e-05 loss: 0.0379 (0.0429) loss_seg: 0.0376 (0.0426) loss_lansim: 0.0289 (0.0304) loss_contra: 0.0002 (0.0025) time: 2.6882 data: 0.0051 max mem: 31630 Epoch: [31] [ 690/5278] eta: 3:26:19 lr: 1.2888628083814666e-05 loss: 0.0381 (0.0429) loss_seg: 0.0378 (0.0426) loss_lansim: 0.0291 (0.0303) loss_contra: 0.0002 (0.0025) time: 2.6908 data: 0.0051 max mem: 31630 Epoch: [31] [ 700/5278] eta: 3:25:51 lr: 1.288615005745652e-05 loss: 0.0389 (0.0429) loss_seg: 0.0386 (0.0426) loss_lansim: 0.0294 (0.0304) loss_contra: 0.0002 (0.0024) time: 2.6889 data: 0.0051 max mem: 31630 Epoch: [31] [ 710/5278] eta: 3:25:22 lr: 1.2883671978149654e-05 loss: 0.0388 (0.0429) loss_seg: 0.0385 (0.0425) loss_lansim: 0.0294 (0.0304) loss_contra: 0.0001 (0.0024) time: 2.6886 data: 0.0051 max mem: 31630 Epoch: [31] [ 720/5278] eta: 3:24:58 lr: 1.2881193845881623e-05 loss: 0.0395 (0.0429) loss_seg: 0.0392 (0.0426) loss_lansim: 0.0297 (0.0304) loss_contra: 0.0001 (0.0024) time: 2.6939 data: 0.0051 max mem: 31630 Epoch: [31] [ 730/5278] eta: 3:24:30 lr: 1.2878715660639976e-05 loss: 0.0395 (0.0429) loss_seg: 0.0392 (0.0426) loss_lansim: 0.0285 (0.0303) loss_contra: 0.0001 (0.0023) time: 2.6930 data: 0.0051 max mem: 31630 Epoch: [31] [ 740/5278] eta: 3:24:03 lr: 1.2876237422412258e-05 loss: 0.0399 (0.0430) loss_seg: 0.0396 (0.0427) loss_lansim: 0.0284 (0.0304) loss_contra: 0.0001 (0.0023) time: 2.6958 data: 0.0051 max mem: 31630 Epoch: [31] [ 750/5278] eta: 3:23:36 lr: 1.2873759131185994e-05 loss: 0.0395 (0.0429) loss_seg: 0.0393 (0.0426) loss_lansim: 0.0284 (0.0304) loss_contra: 0.0001 (0.0023) time: 2.6956 data: 0.0052 max mem: 31630 Epoch: [31] [ 760/5278] eta: 3:23:08 lr: 1.287128078694872e-05 loss: 0.0399 (0.0429) loss_seg: 0.0397 (0.0426) loss_lansim: 0.0285 (0.0304) loss_contra: 0.0001 (0.0023) time: 2.6963 data: 0.0052 max mem: 31630 Epoch: [31] [ 770/5278] eta: 3:22:42 lr: 1.2868802389687961e-05 loss: 0.0415 (0.0430) loss_seg: 0.0412 (0.0426) loss_lansim: 0.0294 (0.0304) loss_contra: 0.0001 (0.0023) time: 2.6946 data: 0.0052 max mem: 31630 Epoch: [31] [ 780/5278] eta: 3:22:14 lr: 1.286632393939124e-05 loss: 0.0415 (0.0429) loss_seg: 0.0412 (0.0426) loss_lansim: 0.0298 (0.0304) loss_contra: 0.0001 (0.0023) time: 2.6959 data: 0.0052 max mem: 31630 Epoch: [31] [ 790/5278] eta: 3:21:45 lr: 1.2863845436046056e-05 loss: 0.0405 (0.0429) loss_seg: 0.0401 (0.0426) loss_lansim: 0.0299 (0.0304) loss_contra: 0.0001 (0.0023) time: 2.6907 data: 0.0052 max mem: 31630 Epoch: [31] [ 800/5278] eta: 3:21:19 lr: 1.2861366879639927e-05 loss: 0.0405 (0.0430) loss_seg: 0.0401 (0.0427) loss_lansim: 0.0297 (0.0304) loss_contra: 0.0001 (0.0024) time: 2.6943 data: 0.0052 max mem: 31630 Epoch: [31] [ 810/5278] eta: 3:20:51 lr: 1.2858888270160352e-05 loss: 0.0423 (0.0429) loss_seg: 0.0419 (0.0426) loss_lansim: 0.0291 (0.0304) loss_contra: 0.0002 (0.0024) time: 2.6941 data: 0.0052 max mem: 31630 Epoch: [31] [ 820/5278] eta: 3:20:25 lr: 1.2856409607594835e-05 loss: 0.0402 (0.0429) loss_seg: 0.0399 (0.0426) loss_lansim: 0.0290 (0.0304) loss_contra: 0.0002 (0.0023) time: 2.6915 data: 0.0052 max mem: 31630 Epoch: [31] [ 830/5278] eta: 3:19:58 lr: 1.2853930891930851e-05 loss: 0.0402 (0.0428) loss_seg: 0.0399 (0.0425) loss_lansim: 0.0298 (0.0304) loss_contra: 0.0002 (0.0023) time: 2.6932 data: 0.0052 max mem: 31630 Epoch: [31] [ 840/5278] eta: 3:19:29 lr: 1.2851452123155896e-05 loss: 0.0394 (0.0428) loss_seg: 0.0390 (0.0425) loss_lansim: 0.0299 (0.0304) loss_contra: 0.0003 (0.0023) time: 2.6893 data: 0.0052 max mem: 31630 Epoch: [31] [ 850/5278] eta: 3:19:02 lr: 1.284897330125745e-05 loss: 0.0415 (0.0430) loss_seg: 0.0411 (0.0427) loss_lansim: 0.0297 (0.0304) loss_contra: 0.0003 (0.0023) time: 2.6898 data: 0.0052 max mem: 31630 Epoch: [31] [ 860/5278] eta: 3:18:34 lr: 1.2846494426222984e-05 loss: 0.0415 (0.0430) loss_seg: 0.0411 (0.0427) loss_lansim: 0.0293 (0.0304) loss_contra: 0.0003 (0.0023) time: 2.6907 data: 0.0051 max mem: 31630 Epoch: [31] [ 870/5278] eta: 3:18:07 lr: 1.2844015498039962e-05 loss: 0.0405 (0.0430) loss_seg: 0.0402 (0.0427) loss_lansim: 0.0291 (0.0304) loss_contra: 0.0003 (0.0023) time: 2.6883 data: 0.0052 max mem: 31630 Epoch: [31] [ 880/5278] eta: 3:17:41 lr: 1.2841536516695852e-05 loss: 0.0401 (0.0430) loss_seg: 0.0398 (0.0427) loss_lansim: 0.0290 (0.0304) loss_contra: 0.0002 (0.0023) time: 2.6906 data: 0.0051 max mem: 31630 Epoch: [31] [ 890/5278] eta: 3:17:13 lr: 1.2839057482178107e-05 loss: 0.0407 (0.0430) loss_seg: 0.0404 (0.0427) loss_lansim: 0.0292 (0.0304) loss_contra: 0.0003 (0.0023) time: 2.6930 data: 0.0051 max mem: 31630 Epoch: [31] [ 900/5278] eta: 3:16:45 lr: 1.2836578394474185e-05 loss: 0.0405 (0.0431) loss_seg: 0.0402 (0.0427) loss_lansim: 0.0291 (0.0304) loss_contra: 0.0002 (0.0023) time: 2.6880 data: 0.0051 max mem: 31630 Epoch: [31] [ 910/5278] eta: 3:16:18 lr: 1.2834099253571522e-05 loss: 0.0403 (0.0430) loss_seg: 0.0400 (0.0427) loss_lansim: 0.0290 (0.0304) loss_contra: 0.0002 (0.0023) time: 2.6917 data: 0.0051 max mem: 31630 Epoch: [31] [ 920/5278] eta: 3:15:50 lr: 1.2831620059457561e-05 loss: 0.0402 (0.0430) loss_seg: 0.0399 (0.0426) loss_lansim: 0.0290 (0.0304) loss_contra: 0.0002 (0.0023) time: 2.6873 data: 0.0051 max mem: 31630 Epoch: [31] [ 930/5278] eta: 3:15:24 lr: 1.2829140812119738e-05 loss: 0.0402 (0.0430) loss_seg: 0.0399 (0.0427) loss_lansim: 0.0289 (0.0304) loss_contra: 0.0002 (0.0023) time: 2.6894 data: 0.0051 max mem: 31630 Epoch: [31] [ 940/5278] eta: 3:14:57 lr: 1.2826661511545483e-05 loss: 0.0403 (0.0430) loss_seg: 0.0400 (0.0427) loss_lansim: 0.0289 (0.0304) loss_contra: 0.0002 (0.0023) time: 2.6922 data: 0.0051 max mem: 31630 Epoch: [31] [ 950/5278] eta: 3:14:33 lr: 1.2824182157722218e-05 loss: 0.0400 (0.0430) loss_seg: 0.0397 (0.0426) loss_lansim: 0.0289 (0.0304) loss_contra: 0.0002 (0.0023) time: 2.6996 data: 0.0051 max mem: 31630 Epoch: [31] [ 960/5278] eta: 3:14:05 lr: 1.2821702750637354e-05 loss: 0.0392 (0.0429) loss_seg: 0.0389 (0.0425) loss_lansim: 0.0289 (0.0304) loss_contra: 0.0002 (0.0023) time: 2.6980 data: 0.0051 max mem: 31630 Epoch: [31] [ 970/5278] eta: 3:13:40 lr: 1.281922329027831e-05 loss: 0.0387 (0.0428) loss_seg: 0.0385 (0.0425) loss_lansim: 0.0292 (0.0304) loss_contra: 0.0002 (0.0022) time: 2.7029 data: 0.0051 max mem: 31630 Epoch: [31] [ 980/5278] eta: 3:13:13 lr: 1.2816743776632486e-05 loss: 0.0387 (0.0429) loss_seg: 0.0385 (0.0426) loss_lansim: 0.0294 (0.0304) loss_contra: 0.0002 (0.0022) time: 2.7019 data: 0.0052 max mem: 31630 Epoch: [31] [ 990/5278] eta: 3:12:48 lr: 1.2814264209687294e-05 loss: 0.0385 (0.0428) loss_seg: 0.0382 (0.0425) loss_lansim: 0.0288 (0.0304) loss_contra: 0.0002 (0.0022) time: 2.7079 data: 0.0052 max mem: 31630 Epoch: [31] [1000/5278] eta: 3:12:20 lr: 1.2811784589430112e-05 loss: 0.0375 (0.0428) loss_seg: 0.0372 (0.0425) loss_lansim: 0.0288 (0.0303) loss_contra: 0.0002 (0.0022) time: 2.7077 data: 0.0052 max mem: 31630 Epoch: [31] [1010/5278] eta: 3:11:54 lr: 1.2809304915848335e-05 loss: 0.0376 (0.0429) loss_seg: 0.0373 (0.0426) loss_lansim: 0.0286 (0.0303) loss_contra: 0.0002 (0.0022) time: 2.7084 data: 0.0052 max mem: 31630 Epoch: [31] [1020/5278] eta: 3:11:27 lr: 1.2806825188929348e-05 loss: 0.0379 (0.0429) loss_seg: 0.0377 (0.0425) loss_lansim: 0.0282 (0.0303) loss_contra: 0.0002 (0.0022) time: 2.7124 data: 0.0052 max mem: 31630 Epoch: [31] [1030/5278] eta: 3:11:00 lr: 1.2804345408660534e-05 loss: 0.0376 (0.0428) loss_seg: 0.0373 (0.0425) loss_lansim: 0.0284 (0.0303) loss_contra: 0.0002 (0.0022) time: 2.7093 data: 0.0052 max mem: 31630 Epoch: [31] [1040/5278] eta: 3:10:33 lr: 1.2801865575029251e-05 loss: 0.0376 (0.0428) loss_seg: 0.0373 (0.0425) loss_lansim: 0.0282 (0.0303) loss_contra: 0.0002 (0.0022) time: 2.7108 data: 0.0052 max mem: 31630 Epoch: [31] [1050/5278] eta: 3:10:06 lr: 1.2799385688022871e-05 loss: 0.0376 (0.0428) loss_seg: 0.0373 (0.0424) loss_lansim: 0.0286 (0.0303) loss_contra: 0.0002 (0.0022) time: 2.7034 data: 0.0052 max mem: 31630 Epoch: [31] [1060/5278] eta: 3:09:39 lr: 1.2796905747628757e-05 loss: 0.0376 (0.0428) loss_seg: 0.0373 (0.0425) loss_lansim: 0.0282 (0.0303) loss_contra: 0.0002 (0.0022) time: 2.7070 data: 0.0053 max mem: 31630 Epoch: [31] [1070/5278] eta: 3:09:11 lr: 1.2794425753834269e-05 loss: 0.0369 (0.0427) loss_seg: 0.0367 (0.0424) loss_lansim: 0.0283 (0.0303) loss_contra: 0.0002 (0.0022) time: 2.6991 data: 0.0053 max mem: 31630 Epoch: [31] [1080/5278] eta: 3:08:44 lr: 1.279194570662674e-05 loss: 0.0373 (0.0428) loss_seg: 0.0367 (0.0425) loss_lansim: 0.0281 (0.0303) loss_contra: 0.0002 (0.0024) time: 2.7000 data: 0.0053 max mem: 31630 Epoch: [31] [1090/5278] eta: 3:08:16 lr: 1.2789465605993523e-05 loss: 0.0390 (0.0429) loss_seg: 0.0385 (0.0426) loss_lansim: 0.0285 (0.0303) loss_contra: 0.0002 (0.0024) time: 2.6922 data: 0.0054 max mem: 31630 Epoch: [31] [1100/5278] eta: 3:07:48 lr: 1.2786985451921951e-05 loss: 0.0379 (0.0429) loss_seg: 0.0370 (0.0425) loss_lansim: 0.0287 (0.0303) loss_contra: 0.0002 (0.0024) time: 2.6930 data: 0.0054 max mem: 31630 Epoch: [31] [1110/5278] eta: 3:07:22 lr: 1.2784505244399364e-05 loss: 0.0369 (0.0428) loss_seg: 0.0365 (0.0425) loss_lansim: 0.0287 (0.0302) loss_contra: 0.0002 (0.0024) time: 2.6918 data: 0.0054 max mem: 31630 Epoch: [31] [1120/5278] eta: 3:06:54 lr: 1.278202498341308e-05 loss: 0.0369 (0.0428) loss_seg: 0.0365 (0.0425) loss_lansim: 0.0286 (0.0302) loss_contra: 0.0002 (0.0024) time: 2.6893 data: 0.0055 max mem: 31630 Epoch: [31] [1130/5278] eta: 3:06:28 lr: 1.2779544668950417e-05 loss: 0.0386 (0.0428) loss_seg: 0.0371 (0.0425) loss_lansim: 0.0294 (0.0302) loss_contra: 0.0002 (0.0024) time: 2.6921 data: 0.0055 max mem: 31630 Epoch: [31] [1140/5278] eta: 3:06:00 lr: 1.2777064300998696e-05 loss: 0.0366 (0.0428) loss_seg: 0.0363 (0.0424) loss_lansim: 0.0295 (0.0303) loss_contra: 0.0003 (0.0023) time: 2.6881 data: 0.0055 max mem: 31630 Epoch: [31] [1150/5278] eta: 3:05:33 lr: 1.2774583879545226e-05 loss: 0.0365 (0.0427) loss_seg: 0.0362 (0.0424) loss_lansim: 0.0295 (0.0303) loss_contra: 0.0003 (0.0023) time: 2.6889 data: 0.0056 max mem: 31630 Epoch: [31] [1160/5278] eta: 3:05:06 lr: 1.2772103404577304e-05 loss: 0.0366 (0.0426) loss_seg: 0.0363 (0.0423) loss_lansim: 0.0295 (0.0303) loss_contra: 0.0003 (0.0023) time: 2.6866 data: 0.0056 max mem: 31630 Epoch: [31] [1170/5278] eta: 3:04:38 lr: 1.276962287608223e-05 loss: 0.0365 (0.0426) loss_seg: 0.0362 (0.0423) loss_lansim: 0.0296 (0.0302) loss_contra: 0.0003 (0.0023) time: 2.6895 data: 0.0056 max mem: 31630 Epoch: [31] [1180/5278] eta: 3:04:11 lr: 1.2767142294047293e-05 loss: 0.0363 (0.0426) loss_seg: 0.0360 (0.0423) loss_lansim: 0.0295 (0.0302) loss_contra: 0.0003 (0.0023) time: 2.6885 data: 0.0055 max mem: 31630 Epoch: [31] [1190/5278] eta: 3:03:44 lr: 1.2764661658459784e-05 loss: 0.0364 (0.0428) loss_seg: 0.0361 (0.0424) loss_lansim: 0.0287 (0.0302) loss_contra: 0.0004 (0.0023) time: 2.6897 data: 0.0055 max mem: 31630 Epoch: [31] [1200/5278] eta: 3:03:17 lr: 1.2762180969306983e-05 loss: 0.0372 (0.0428) loss_seg: 0.0368 (0.0425) loss_lansim: 0.0287 (0.0302) loss_contra: 0.0003 (0.0023) time: 2.6927 data: 0.0055 max mem: 31630 Epoch: [31] [1210/5278] eta: 3:02:49 lr: 1.2759700226576154e-05 loss: 0.0369 (0.0427) loss_seg: 0.0366 (0.0424) loss_lansim: 0.0296 (0.0302) loss_contra: 0.0004 (0.0023) time: 2.6898 data: 0.0055 max mem: 31630 Epoch: [31] [1220/5278] eta: 3:02:24 lr: 1.2757219430254574e-05 loss: 0.0372 (0.0428) loss_seg: 0.0368 (0.0424) loss_lansim: 0.0295 (0.0302) loss_contra: 0.0004 (0.0023) time: 2.6961 data: 0.0054 max mem: 31630 Epoch: [31] [1230/5278] eta: 3:01:56 lr: 1.2754738580329503e-05 loss: 0.0371 (0.0427) loss_seg: 0.0368 (0.0424) loss_lansim: 0.0280 (0.0302) loss_contra: 0.0004 (0.0023) time: 2.6914 data: 0.0054 max mem: 31630 Epoch: [31] [1240/5278] eta: 3:01:29 lr: 1.2752257676788207e-05 loss: 0.0379 (0.0428) loss_seg: 0.0376 (0.0425) loss_lansim: 0.0282 (0.0302) loss_contra: 0.0004 (0.0023) time: 2.6955 data: 0.0054 max mem: 31630 Epoch: [31] [1250/5278] eta: 3:01:03 lr: 1.2749776719617917e-05 loss: 0.0407 (0.0428) loss_seg: 0.0405 (0.0425) loss_lansim: 0.0279 (0.0301) loss_contra: 0.0005 (0.0023) time: 2.6953 data: 0.0053 max mem: 31630 Epoch: [31] [1260/5278] eta: 3:00:35 lr: 1.2747295708805892e-05 loss: 0.0410 (0.0428) loss_seg: 0.0406 (0.0425) loss_lansim: 0.0278 (0.0301) loss_contra: 0.0005 (0.0024) time: 2.6943 data: 0.0053 max mem: 31630 Epoch: [31] [1270/5278] eta: 3:00:08 lr: 1.274481464433937e-05 loss: 0.0413 (0.0429) loss_seg: 0.0411 (0.0425) loss_lansim: 0.0277 (0.0301) loss_contra: 0.0004 (0.0024) time: 2.6954 data: 0.0053 max mem: 31630 Epoch: [31] [1280/5278] eta: 2:59:41 lr: 1.2742333526205588e-05 loss: 0.0410 (0.0428) loss_seg: 0.0407 (0.0425) loss_lansim: 0.0280 (0.0301) loss_contra: 0.0004 (0.0024) time: 2.6937 data: 0.0053 max mem: 31630 Epoch: [31] [1290/5278] eta: 2:59:14 lr: 1.2739852354391763e-05 loss: 0.0410 (0.0428) loss_seg: 0.0406 (0.0425) loss_lansim: 0.0280 (0.0301) loss_contra: 0.0003 (0.0024) time: 2.6971 data: 0.0053 max mem: 31630 Epoch: [31] [1300/5278] eta: 2:58:47 lr: 1.273737112888512e-05 loss: 0.0407 (0.0428) loss_seg: 0.0405 (0.0424) loss_lansim: 0.0280 (0.0301) loss_contra: 0.0004 (0.0024) time: 2.6963 data: 0.0053 max mem: 31630 Epoch: [31] [1310/5278] eta: 2:58:20 lr: 1.2734889849672882e-05 loss: 0.0408 (0.0427) loss_seg: 0.0405 (0.0424) loss_lansim: 0.0278 (0.0301) loss_contra: 0.0003 (0.0023) time: 2.6983 data: 0.0053 max mem: 31630 Epoch: [31] [1320/5278] eta: 2:57:54 lr: 1.2732408516742259e-05 loss: 0.0405 (0.0427) loss_seg: 0.0403 (0.0424) loss_lansim: 0.0280 (0.0301) loss_contra: 0.0003 (0.0023) time: 2.6951 data: 0.0053 max mem: 31630 Epoch: [31] [1330/5278] eta: 2:57:26 lr: 1.2729927130080446e-05 loss: 0.0408 (0.0427) loss_seg: 0.0405 (0.0424) loss_lansim: 0.0280 (0.0300) loss_contra: 0.0003 (0.0023) time: 2.6960 data: 0.0054 max mem: 31630 Epoch: [31] [1340/5278] eta: 2:57:01 lr: 1.272744568967465e-05 loss: 0.0402 (0.0427) loss_seg: 0.0398 (0.0424) loss_lansim: 0.0278 (0.0300) loss_contra: 0.0003 (0.0024) time: 2.6996 data: 0.0054 max mem: 31630 Epoch: [31] [1350/5278] eta: 2:56:32 lr: 1.2724964195512058e-05 loss: 0.0393 (0.0427) loss_seg: 0.0390 (0.0424) loss_lansim: 0.0280 (0.0300) loss_contra: 0.0002 (0.0023) time: 2.6949 data: 0.0054 max mem: 31630 Epoch: [31] [1360/5278] eta: 2:56:05 lr: 1.2722482647579868e-05 loss: 0.0396 (0.0428) loss_seg: 0.0393 (0.0425) loss_lansim: 0.0282 (0.0300) loss_contra: 0.0002 (0.0023) time: 2.6944 data: 0.0054 max mem: 31630 Epoch: [31] [1370/5278] eta: 2:55:39 lr: 1.2720001045865248e-05 loss: 0.0390 (0.0427) loss_seg: 0.0386 (0.0424) loss_lansim: 0.0283 (0.0300) loss_contra: 0.0003 (0.0024) time: 2.6969 data: 0.0054 max mem: 31630 Epoch: [31] [1380/5278] eta: 2:55:11 lr: 1.2717519390355378e-05 loss: 0.0390 (0.0427) loss_seg: 0.0387 (0.0423) loss_lansim: 0.0283 (0.0300) loss_contra: 0.0003 (0.0024) time: 2.6966 data: 0.0054 max mem: 31630 Epoch: [31] [1390/5278] eta: 2:54:44 lr: 1.2715037681037428e-05 loss: 0.0386 (0.0426) loss_seg: 0.0384 (0.0423) loss_lansim: 0.0282 (0.0300) loss_contra: 0.0004 (0.0024) time: 2.6946 data: 0.0055 max mem: 31630 Epoch: [31] [1400/5278] eta: 2:54:17 lr: 1.2712555917898569e-05 loss: 0.0386 (0.0426) loss_seg: 0.0384 (0.0423) loss_lansim: 0.0279 (0.0300) loss_contra: 0.0004 (0.0024) time: 2.6945 data: 0.0055 max mem: 31630 Epoch: [31] [1410/5278] eta: 2:53:50 lr: 1.2710074100925947e-05 loss: 0.0390 (0.0426) loss_seg: 0.0386 (0.0423) loss_lansim: 0.0279 (0.0299) loss_contra: 0.0004 (0.0025) time: 2.6941 data: 0.0055 max mem: 31630 Epoch: [31] [1420/5278] eta: 2:53:22 lr: 1.2707592230106719e-05 loss: 0.0390 (0.0426) loss_seg: 0.0387 (0.0423) loss_lansim: 0.0282 (0.0299) loss_contra: 0.0005 (0.0024) time: 2.6907 data: 0.0054 max mem: 31630 Epoch: [31] [1430/5278] eta: 2:52:54 lr: 1.2705110305428031e-05 loss: 0.0390 (0.0426) loss_seg: 0.0386 (0.0423) loss_lansim: 0.0284 (0.0299) loss_contra: 0.0005 (0.0025) time: 2.6860 data: 0.0054 max mem: 31630 Epoch: [31] [1440/5278] eta: 2:52:25 lr: 1.2702628326877022e-05 loss: 0.0388 (0.0426) loss_seg: 0.0386 (0.0422) loss_lansim: 0.0284 (0.0299) loss_contra: 0.0004 (0.0025) time: 2.6741 data: 0.0055 max mem: 31630 Epoch: [31] [1450/5278] eta: 2:51:56 lr: 1.2700146294440834e-05 loss: 0.0386 (0.0425) loss_seg: 0.0384 (0.0422) loss_lansim: 0.0282 (0.0299) loss_contra: 0.0004 (0.0025) time: 2.6708 data: 0.0055 max mem: 31630 Epoch: [31] [1460/5278] eta: 2:51:27 lr: 1.2697664208106583e-05 loss: 0.0361 (0.0425) loss_seg: 0.0357 (0.0422) loss_lansim: 0.0279 (0.0299) loss_contra: 0.0004 (0.0024) time: 2.6656 data: 0.0055 max mem: 31630 Epoch: [31] [1470/5278] eta: 2:50:58 lr: 1.2695182067861399e-05 loss: 0.0372 (0.0425) loss_seg: 0.0370 (0.0422) loss_lansim: 0.0279 (0.0299) loss_contra: 0.0005 (0.0024) time: 2.6564 data: 0.0056 max mem: 31630 Epoch: [31] [1480/5278] eta: 2:50:30 lr: 1.2692699873692398e-05 loss: 0.0373 (0.0425) loss_seg: 0.0371 (0.0422) loss_lansim: 0.0279 (0.0299) loss_contra: 0.0005 (0.0024) time: 2.6515 data: 0.0057 max mem: 31630 Epoch: [31] [1490/5278] eta: 2:50:01 lr: 1.2690217625586697e-05 loss: 0.0380 (0.0425) loss_seg: 0.0378 (0.0422) loss_lansim: 0.0279 (0.0299) loss_contra: 0.0003 (0.0024) time: 2.6454 data: 0.0057 max mem: 31630 Epoch: [31] [1500/5278] eta: 2:49:33 lr: 1.2687735323531388e-05 loss: 0.0380 (0.0425) loss_seg: 0.0377 (0.0421) loss_lansim: 0.0276 (0.0298) loss_contra: 0.0003 (0.0024) time: 2.6383 data: 0.0058 max mem: 31630 Epoch: [31] [1510/5278] eta: 2:49:04 lr: 1.2685252967513578e-05 loss: 0.0385 (0.0425) loss_seg: 0.0382 (0.0422) loss_lansim: 0.0274 (0.0298) loss_contra: 0.0002 (0.0024) time: 2.6322 data: 0.0058 max mem: 31630 Epoch: [31] [1520/5278] eta: 2:48:36 lr: 1.2682770557520357e-05 loss: 0.0381 (0.0425) loss_seg: 0.0378 (0.0422) loss_lansim: 0.0274 (0.0298) loss_contra: 0.0002 (0.0024) time: 2.6268 data: 0.0058 max mem: 31630 Epoch: [31] [1530/5278] eta: 2:48:07 lr: 1.2680288093538823e-05 loss: 0.0385 (0.0425) loss_seg: 0.0382 (0.0421) loss_lansim: 0.0270 (0.0298) loss_contra: 0.0002 (0.0024) time: 2.6271 data: 0.0058 max mem: 31630 Epoch: [31] [1540/5278] eta: 2:47:39 lr: 1.2677805575556043e-05 loss: 0.0385 (0.0424) loss_seg: 0.0382 (0.0421) loss_lansim: 0.0270 (0.0298) loss_contra: 0.0002 (0.0024) time: 2.6277 data: 0.0057 max mem: 31630 Epoch: [31] [1550/5278] eta: 2:47:10 lr: 1.2675323003559097e-05 loss: 0.0387 (0.0425) loss_seg: 0.0384 (0.0421) loss_lansim: 0.0270 (0.0297) loss_contra: 0.0002 (0.0024) time: 2.6285 data: 0.0057 max mem: 31630 Epoch: [31] [1560/5278] eta: 2:46:42 lr: 1.2672840377535059e-05 loss: 0.0400 (0.0424) loss_seg: 0.0398 (0.0421) loss_lansim: 0.0270 (0.0297) loss_contra: 0.0002 (0.0024) time: 2.6294 data: 0.0057 max mem: 31630 Epoch: [31] [1570/5278] eta: 2:46:13 lr: 1.2670357697470992e-05 loss: 0.0406 (0.0424) loss_seg: 0.0403 (0.0421) loss_lansim: 0.0270 (0.0297) loss_contra: 0.0002 (0.0024) time: 2.6268 data: 0.0056 max mem: 31630 Epoch: [31] [1580/5278] eta: 2:45:44 lr: 1.2667874963353949e-05 loss: 0.0405 (0.0424) loss_seg: 0.0403 (0.0420) loss_lansim: 0.0270 (0.0297) loss_contra: 0.0002 (0.0023) time: 2.6252 data: 0.0055 max mem: 31630 Epoch: [31] [1590/5278] eta: 2:45:16 lr: 1.2665392175170981e-05 loss: 0.0403 (0.0424) loss_seg: 0.0401 (0.0421) loss_lansim: 0.0270 (0.0297) loss_contra: 0.0002 (0.0024) time: 2.6228 data: 0.0054 max mem: 31630 Epoch: [31] [1600/5278] eta: 2:44:47 lr: 1.2662909332909142e-05 loss: 0.0404 (0.0424) loss_seg: 0.0401 (0.0421) loss_lansim: 0.0271 (0.0297) loss_contra: 0.0002 (0.0024) time: 2.6212 data: 0.0054 max mem: 31630 Epoch: [31] [1610/5278] eta: 2:44:18 lr: 1.2660426436555473e-05 loss: 0.0398 (0.0424) loss_seg: 0.0395 (0.0421) loss_lansim: 0.0271 (0.0297) loss_contra: 0.0002 (0.0024) time: 2.6194 data: 0.0054 max mem: 31630 Epoch: [31] [1620/5278] eta: 2:43:50 lr: 1.2657943486096996e-05 loss: 0.0398 (0.0424) loss_seg: 0.0395 (0.0421) loss_lansim: 0.0269 (0.0297) loss_contra: 0.0002 (0.0024) time: 2.6175 data: 0.0054 max mem: 31630 Epoch: [31] [1630/5278] eta: 2:43:21 lr: 1.2655460481520744e-05 loss: 0.0386 (0.0424) loss_seg: 0.0383 (0.0420) loss_lansim: 0.0269 (0.0297) loss_contra: 0.0002 (0.0024) time: 2.6159 data: 0.0054 max mem: 31630 Epoch: [31] [1640/5278] eta: 2:42:53 lr: 1.2652977422813744e-05 loss: 0.0389 (0.0424) loss_seg: 0.0386 (0.0421) loss_lansim: 0.0271 (0.0297) loss_contra: 0.0002 (0.0024) time: 2.6143 data: 0.0054 max mem: 31630 Epoch: [31] [1650/5278] eta: 2:42:24 lr: 1.2650494309963015e-05 loss: 0.0388 (0.0424) loss_seg: 0.0385 (0.0421) loss_lansim: 0.0275 (0.0297) loss_contra: 0.0002 (0.0024) time: 2.6125 data: 0.0054 max mem: 31630 Epoch: [31] [1660/5278] eta: 2:41:56 lr: 1.2648011142955556e-05 loss: 0.0389 (0.0424) loss_seg: 0.0386 (0.0421) loss_lansim: 0.0275 (0.0297) loss_contra: 0.0002 (0.0024) time: 2.6103 data: 0.0054 max mem: 31630 Epoch: [31] [1670/5278] eta: 2:41:27 lr: 1.2645527921778377e-05 loss: 0.0388 (0.0424) loss_seg: 0.0385 (0.0421) loss_lansim: 0.0273 (0.0296) loss_contra: 0.0002 (0.0024) time: 2.6106 data: 0.0054 max mem: 31630 Epoch: [31] [1680/5278] eta: 2:40:59 lr: 1.2643044646418479e-05 loss: 0.0388 (0.0424) loss_seg: 0.0385 (0.0421) loss_lansim: 0.0272 (0.0296) loss_contra: 0.0002 (0.0024) time: 2.6107 data: 0.0054 max mem: 31630 Epoch: [31] [1690/5278] eta: 2:40:30 lr: 1.2640561316862851e-05 loss: 0.0386 (0.0424) loss_seg: 0.0383 (0.0421) loss_lansim: 0.0275 (0.0296) loss_contra: 0.0002 (0.0024) time: 2.6109 data: 0.0054 max mem: 31630 Epoch: [31] [1700/5278] eta: 2:40:02 lr: 1.2638077933098485e-05 loss: 0.0388 (0.0424) loss_seg: 0.0385 (0.0420) loss_lansim: 0.0275 (0.0296) loss_contra: 0.0002 (0.0024) time: 2.6110 data: 0.0054 max mem: 31630 Epoch: [31] [1710/5278] eta: 2:39:33 lr: 1.2635594495112354e-05 loss: 0.0392 (0.0424) loss_seg: 0.0390 (0.0421) loss_lansim: 0.0275 (0.0296) loss_contra: 0.0002 (0.0023) time: 2.6105 data: 0.0054 max mem: 31630 Epoch: [31] [1720/5278] eta: 2:39:05 lr: 1.2633111002891438e-05 loss: 0.0386 (0.0423) loss_seg: 0.0383 (0.0420) loss_lansim: 0.0277 (0.0296) loss_contra: 0.0002 (0.0024) time: 2.6106 data: 0.0054 max mem: 31630 Epoch: [31] [1730/5278] eta: 2:38:37 lr: 1.26306274564227e-05 loss: 0.0389 (0.0423) loss_seg: 0.0386 (0.0420) loss_lansim: 0.0276 (0.0296) loss_contra: 0.0003 (0.0024) time: 2.6102 data: 0.0054 max mem: 31630 Epoch: [31] [1740/5278] eta: 2:38:08 lr: 1.2628143855693115e-05 loss: 0.0392 (0.0423) loss_seg: 0.0390 (0.0420) loss_lansim: 0.0275 (0.0296) loss_contra: 0.0003 (0.0024) time: 2.6096 data: 0.0054 max mem: 31630 Epoch: [31] [1750/5278] eta: 2:37:40 lr: 1.2625660200689624e-05 loss: 0.0400 (0.0423) loss_seg: 0.0398 (0.0420) loss_lansim: 0.0272 (0.0296) loss_contra: 0.0003 (0.0024) time: 2.6087 data: 0.0054 max mem: 31630 Epoch: [31] [1760/5278] eta: 2:37:12 lr: 1.2623176491399182e-05 loss: 0.0400 (0.0423) loss_seg: 0.0398 (0.0420) loss_lansim: 0.0272 (0.0296) loss_contra: 0.0003 (0.0024) time: 2.6089 data: 0.0054 max mem: 31630 Epoch: [31] [1770/5278] eta: 2:36:44 lr: 1.2620692727808743e-05 loss: 0.0400 (0.0423) loss_seg: 0.0398 (0.0420) loss_lansim: 0.0270 (0.0295) loss_contra: 0.0003 (0.0024) time: 2.6093 data: 0.0054 max mem: 31630 Epoch: [31] [1780/5278] eta: 2:36:15 lr: 1.261820890990524e-05 loss: 0.0400 (0.0423) loss_seg: 0.0398 (0.0420) loss_lansim: 0.0268 (0.0295) loss_contra: 0.0003 (0.0024) time: 2.6091 data: 0.0054 max mem: 31630 Epoch: [31] [1790/5278] eta: 2:35:47 lr: 1.2615725037675599e-05 loss: 0.0401 (0.0423) loss_seg: 0.0398 (0.0419) loss_lansim: 0.0268 (0.0295) loss_contra: 0.0003 (0.0024) time: 2.6087 data: 0.0054 max mem: 31630 Epoch: [31] [1800/5278] eta: 2:35:19 lr: 1.2613241111106755e-05 loss: 0.0400 (0.0423) loss_seg: 0.0398 (0.0419) loss_lansim: 0.0268 (0.0295) loss_contra: 0.0004 (0.0024) time: 2.6084 data: 0.0054 max mem: 31630 Epoch: [31] [1810/5278] eta: 2:34:51 lr: 1.2610757130185624e-05 loss: 0.0374 (0.0422) loss_seg: 0.0370 (0.0419) loss_lansim: 0.0267 (0.0295) loss_contra: 0.0005 (0.0024) time: 2.6088 data: 0.0054 max mem: 31630 Epoch: [31] [1820/5278] eta: 2:34:23 lr: 1.260827309489913e-05 loss: 0.0386 (0.0422) loss_seg: 0.0383 (0.0419) loss_lansim: 0.0264 (0.0295) loss_contra: 0.0005 (0.0024) time: 2.6094 data: 0.0055 max mem: 31630 Epoch: [31] [1830/5278] eta: 2:33:55 lr: 1.260578900523417e-05 loss: 0.0386 (0.0423) loss_seg: 0.0383 (0.0420) loss_lansim: 0.0267 (0.0295) loss_contra: 0.0005 (0.0025) time: 2.6098 data: 0.0055 max mem: 31630 Epoch: [31] [1840/5278] eta: 2:33:27 lr: 1.260330486117765e-05 loss: 0.0376 (0.0423) loss_seg: 0.0373 (0.0419) loss_lansim: 0.0268 (0.0295) loss_contra: 0.0003 (0.0025) time: 2.6091 data: 0.0055 max mem: 31630 Epoch: [31] [1850/5278] eta: 2:32:59 lr: 1.2600820662716467e-05 loss: 0.0376 (0.0423) loss_seg: 0.0373 (0.0420) loss_lansim: 0.0267 (0.0295) loss_contra: 0.0005 (0.0025) time: 2.6100 data: 0.0055 max mem: 31630 Epoch: [31] [1860/5278] eta: 2:32:31 lr: 1.259833640983752e-05 loss: 0.0379 (0.0423) loss_seg: 0.0374 (0.0420) loss_lansim: 0.0268 (0.0295) loss_contra: 0.0005 (0.0025) time: 2.6102 data: 0.0055 max mem: 31630 Epoch: [31] [1870/5278] eta: 2:32:03 lr: 1.2595852102527678e-05 loss: 0.0384 (0.0423) loss_seg: 0.0381 (0.0420) loss_lansim: 0.0271 (0.0295) loss_contra: 0.0004 (0.0025) time: 2.6095 data: 0.0055 max mem: 31630 Epoch: [31] [1880/5278] eta: 2:31:34 lr: 1.2593367740773828e-05 loss: 0.0386 (0.0424) loss_seg: 0.0383 (0.0421) loss_lansim: 0.0275 (0.0294) loss_contra: 0.0003 (0.0025) time: 2.6092 data: 0.0056 max mem: 31630 Epoch: [31] [1890/5278] eta: 2:31:06 lr: 1.2590883324562844e-05 loss: 0.0386 (0.0424) loss_seg: 0.0383 (0.0421) loss_lansim: 0.0274 (0.0294) loss_contra: 0.0003 (0.0025) time: 2.6087 data: 0.0056 max mem: 31630 Epoch: [31] [1900/5278] eta: 2:30:38 lr: 1.2588398853881589e-05 loss: 0.0386 (0.0424) loss_seg: 0.0383 (0.0420) loss_lansim: 0.0268 (0.0294) loss_contra: 0.0003 (0.0025) time: 2.6079 data: 0.0056 max mem: 31630 Epoch: [31] [1910/5278] eta: 2:30:10 lr: 1.258591432871693e-05 loss: 0.0385 (0.0423) loss_seg: 0.0382 (0.0420) loss_lansim: 0.0268 (0.0294) loss_contra: 0.0003 (0.0025) time: 2.6072 data: 0.0056 max mem: 31630 Epoch: [31] [1920/5278] eta: 2:29:42 lr: 1.2583429749055711e-05 loss: 0.0387 (0.0424) loss_seg: 0.0383 (0.0421) loss_lansim: 0.0271 (0.0294) loss_contra: 0.0003 (0.0025) time: 2.6060 data: 0.0056 max mem: 31630 Epoch: [31] [1930/5278] eta: 2:29:14 lr: 1.2580945114884784e-05 loss: 0.0393 (0.0424) loss_seg: 0.0390 (0.0421) loss_lansim: 0.0267 (0.0294) loss_contra: 0.0003 (0.0025) time: 2.6042 data: 0.0055 max mem: 31630 Epoch: [31] [1940/5278] eta: 2:28:46 lr: 1.2578460426190994e-05 loss: 0.0416 (0.0425) loss_seg: 0.0414 (0.0421) loss_lansim: 0.0267 (0.0294) loss_contra: 0.0003 (0.0025) time: 2.6042 data: 0.0055 max mem: 31630 Epoch: [31] [1950/5278] eta: 2:28:18 lr: 1.2575975682961183e-05 loss: 0.0395 (0.0425) loss_seg: 0.0393 (0.0421) loss_lansim: 0.0267 (0.0294) loss_contra: 0.0003 (0.0025) time: 2.6030 data: 0.0054 max mem: 31630 Epoch: [31] [1960/5278] eta: 2:27:50 lr: 1.2573490885182166e-05 loss: 0.0405 (0.0424) loss_seg: 0.0402 (0.0421) loss_lansim: 0.0267 (0.0294) loss_contra: 0.0003 (0.0025) time: 2.6022 data: 0.0054 max mem: 31630 Epoch: [31] [1970/5278] eta: 2:27:22 lr: 1.2571006032840777e-05 loss: 0.0400 (0.0425) loss_seg: 0.0398 (0.0421) loss_lansim: 0.0271 (0.0294) loss_contra: 0.0003 (0.0024) time: 2.6012 data: 0.0054 max mem: 31630 Epoch: [31] [1980/5278] eta: 2:26:54 lr: 1.2568521125923829e-05 loss: 0.0400 (0.0425) loss_seg: 0.0398 (0.0422) loss_lansim: 0.0270 (0.0294) loss_contra: 0.0003 (0.0025) time: 2.6003 data: 0.0054 max mem: 31630 Epoch: [31] [1990/5278] eta: 2:26:26 lr: 1.2566036164418143e-05 loss: 0.0400 (0.0425) loss_seg: 0.0398 (0.0421) loss_lansim: 0.0271 (0.0294) loss_contra: 0.0003 (0.0024) time: 2.6005 data: 0.0054 max mem: 31630 Epoch: [31] [2000/5278] eta: 2:25:58 lr: 1.2563551148310513e-05 loss: 0.0405 (0.0425) loss_seg: 0.0402 (0.0421) loss_lansim: 0.0273 (0.0294) loss_contra: 0.0003 (0.0024) time: 2.6005 data: 0.0054 max mem: 31630 Epoch: [31] [2010/5278] eta: 2:25:30 lr: 1.2561066077587743e-05 loss: 0.0405 (0.0424) loss_seg: 0.0402 (0.0421) loss_lansim: 0.0273 (0.0293) loss_contra: 0.0002 (0.0024) time: 2.6000 data: 0.0054 max mem: 31630 Epoch: [31] [2020/5278] eta: 2:25:03 lr: 1.2558580952236629e-05 loss: 0.0393 (0.0424) loss_seg: 0.0390 (0.0421) loss_lansim: 0.0268 (0.0293) loss_contra: 0.0002 (0.0025) time: 2.5998 data: 0.0054 max mem: 31630 Epoch: [31] [2030/5278] eta: 2:24:35 lr: 1.2556095772243964e-05 loss: 0.0400 (0.0425) loss_seg: 0.0398 (0.0422) loss_lansim: 0.0268 (0.0293) loss_contra: 0.0002 (0.0025) time: 2.6002 data: 0.0054 max mem: 31630 Epoch: [31] [2040/5278] eta: 2:24:07 lr: 1.2553610537596516e-05 loss: 0.0389 (0.0425) loss_seg: 0.0383 (0.0421) loss_lansim: 0.0273 (0.0293) loss_contra: 0.0002 (0.0025) time: 2.6004 data: 0.0054 max mem: 31630 Epoch: [31] [2050/5278] eta: 2:23:39 lr: 1.2551125248281065e-05 loss: 0.0383 (0.0424) loss_seg: 0.0376 (0.0421) loss_lansim: 0.0273 (0.0293) loss_contra: 0.0002 (0.0025) time: 2.6011 data: 0.0054 max mem: 31630 Epoch: [31] [2060/5278] eta: 2:23:11 lr: 1.2548639904284384e-05 loss: 0.0374 (0.0424) loss_seg: 0.0372 (0.0421) loss_lansim: 0.0273 (0.0293) loss_contra: 0.0002 (0.0025) time: 2.6007 data: 0.0054 max mem: 31630 Epoch: [31] [2070/5278] eta: 2:22:44 lr: 1.2546154505593239e-05 loss: 0.0384 (0.0424) loss_seg: 0.0381 (0.0421) loss_lansim: 0.0262 (0.0293) loss_contra: 0.0002 (0.0025) time: 2.6014 data: 0.0054 max mem: 31630 Epoch: [31] [2080/5278] eta: 2:22:16 lr: 1.2543669052194377e-05 loss: 0.0383 (0.0424) loss_seg: 0.0376 (0.0421) loss_lansim: 0.0264 (0.0293) loss_contra: 0.0002 (0.0025) time: 2.6016 data: 0.0054 max mem: 31630 Epoch: [31] [2090/5278] eta: 2:21:48 lr: 1.2541183544074552e-05 loss: 0.0374 (0.0424) loss_seg: 0.0372 (0.0421) loss_lansim: 0.0263 (0.0293) loss_contra: 0.0002 (0.0025) time: 2.6017 data: 0.0054 max mem: 31630 Epoch: [31] [2100/5278] eta: 2:21:20 lr: 1.2538697981220512e-05 loss: 0.0374 (0.0424) loss_seg: 0.0372 (0.0421) loss_lansim: 0.0261 (0.0293) loss_contra: 0.0002 (0.0025) time: 2.6014 data: 0.0054 max mem: 31630 Epoch: [31] [2110/5278] eta: 2:20:53 lr: 1.2536212363619e-05 loss: 0.0388 (0.0424) loss_seg: 0.0383 (0.0421) loss_lansim: 0.0263 (0.0292) loss_contra: 0.0002 (0.0025) time: 2.6017 data: 0.0054 max mem: 31630 Epoch: [31] [2120/5278] eta: 2:20:25 lr: 1.2533726691256737e-05 loss: 0.0389 (0.0424) loss_seg: 0.0386 (0.0421) loss_lansim: 0.0263 (0.0292) loss_contra: 0.0002 (0.0025) time: 2.6021 data: 0.0054 max mem: 31630 Epoch: [31] [2130/5278] eta: 2:19:57 lr: 1.2531240964120452e-05 loss: 0.0388 (0.0424) loss_seg: 0.0385 (0.0421) loss_lansim: 0.0265 (0.0292) loss_contra: 0.0002 (0.0025) time: 2.6019 data: 0.0054 max mem: 31630 Epoch: [31] [2140/5278] eta: 2:19:30 lr: 1.252875518219687e-05 loss: 0.0389 (0.0424) loss_seg: 0.0386 (0.0421) loss_lansim: 0.0263 (0.0292) loss_contra: 0.0002 (0.0024) time: 2.6021 data: 0.0054 max mem: 31630 Epoch: [31] [2150/5278] eta: 2:19:02 lr: 1.2526269345472702e-05 loss: 0.0396 (0.0424) loss_seg: 0.0394 (0.0421) loss_lansim: 0.0263 (0.0292) loss_contra: 0.0002 (0.0024) time: 2.6007 data: 0.0054 max mem: 31630 Epoch: [31] [2160/5278] eta: 2:18:35 lr: 1.2523783453934662e-05 loss: 0.0396 (0.0424) loss_seg: 0.0394 (0.0421) loss_lansim: 0.0262 (0.0292) loss_contra: 0.0001 (0.0024) time: 2.6014 data: 0.0054 max mem: 31630 Epoch: [31] [2170/5278] eta: 2:18:07 lr: 1.252129750756944e-05 loss: 0.0385 (0.0424) loss_seg: 0.0383 (0.0421) loss_lansim: 0.0263 (0.0292) loss_contra: 0.0001 (0.0024) time: 2.6018 data: 0.0055 max mem: 31630 Epoch: [31] [2180/5278] eta: 2:17:40 lr: 1.251881150636374e-05 loss: 0.0377 (0.0424) loss_seg: 0.0374 (0.0421) loss_lansim: 0.0261 (0.0292) loss_contra: 0.0001 (0.0024) time: 2.6027 data: 0.0055 max mem: 31630 Epoch: [31] [2190/5278] eta: 2:17:12 lr: 1.2516325450304247e-05 loss: 0.0389 (0.0424) loss_seg: 0.0386 (0.0421) loss_lansim: 0.0260 (0.0291) loss_contra: 0.0002 (0.0025) time: 2.6024 data: 0.0055 max mem: 31630 Epoch: [31] [2200/5278] eta: 2:16:44 lr: 1.2513839339377656e-05 loss: 0.0384 (0.0424) loss_seg: 0.0382 (0.0421) loss_lansim: 0.0261 (0.0291) loss_contra: 0.0002 (0.0025) time: 2.6026 data: 0.0055 max mem: 31630 Epoch: [31] [2210/5278] eta: 2:16:17 lr: 1.2511353173570625e-05 loss: 0.0385 (0.0424) loss_seg: 0.0383 (0.0421) loss_lansim: 0.0260 (0.0291) loss_contra: 0.0002 (0.0026) time: 2.6035 data: 0.0055 max mem: 31630 Epoch: [31] [2220/5278] eta: 2:15:50 lr: 1.2508866952869836e-05 loss: 0.0377 (0.0424) loss_seg: 0.0374 (0.0420) loss_lansim: 0.0262 (0.0291) loss_contra: 0.0002 (0.0026) time: 2.6040 data: 0.0055 max mem: 31630 Epoch: [31] [2230/5278] eta: 2:15:22 lr: 1.250638067726195e-05 loss: 0.0384 (0.0424) loss_seg: 0.0382 (0.0420) loss_lansim: 0.0260 (0.0291) loss_contra: 0.0002 (0.0026) time: 2.6051 data: 0.0055 max mem: 31630 Epoch: [31] [2240/5278] eta: 2:14:55 lr: 1.2503894346733632e-05 loss: 0.0395 (0.0424) loss_seg: 0.0392 (0.0420) loss_lansim: 0.0259 (0.0291) loss_contra: 0.0003 (0.0025) time: 2.6053 data: 0.0055 max mem: 31630 Epoch: [31] [2250/5278] eta: 2:14:27 lr: 1.2501407961271528e-05 loss: 0.0395 (0.0424) loss_seg: 0.0392 (0.0421) loss_lansim: 0.0259 (0.0291) loss_contra: 0.0004 (0.0025) time: 2.6068 data: 0.0055 max mem: 31630 Epoch: [31] [2260/5278] eta: 2:14:00 lr: 1.2498921520862283e-05 loss: 0.0395 (0.0424) loss_seg: 0.0392 (0.0420) loss_lansim: 0.0259 (0.0291) loss_contra: 0.0004 (0.0025) time: 2.6073 data: 0.0055 max mem: 31630 Epoch: [31] [2270/5278] eta: 2:13:33 lr: 1.249643502549254e-05 loss: 0.0396 (0.0423) loss_seg: 0.0393 (0.0420) loss_lansim: 0.0259 (0.0291) loss_contra: 0.0004 (0.0026) time: 2.6076 data: 0.0055 max mem: 31630 Epoch: [31] [2280/5278] eta: 2:13:05 lr: 1.2493948475148938e-05 loss: 0.0402 (0.0424) loss_seg: 0.0397 (0.0421) loss_lansim: 0.0261 (0.0290) loss_contra: 0.0004 (0.0026) time: 2.6073 data: 0.0055 max mem: 31630 Epoch: [31] [2290/5278] eta: 2:12:38 lr: 1.2491461869818093e-05 loss: 0.0400 (0.0425) loss_seg: 0.0397 (0.0422) loss_lansim: 0.0261 (0.0290) loss_contra: 0.0004 (0.0026) time: 2.6077 data: 0.0055 max mem: 31630 Epoch: [31] [2300/5278] eta: 2:12:10 lr: 1.2488975209486632e-05 loss: 0.0408 (0.0425) loss_seg: 0.0405 (0.0422) loss_lansim: 0.0264 (0.0290) loss_contra: 0.0005 (0.0026) time: 2.6087 data: 0.0055 max mem: 31630 Epoch: [31] [2310/5278] eta: 2:11:43 lr: 1.248648849414117e-05 loss: 0.0408 (0.0425) loss_seg: 0.0405 (0.0422) loss_lansim: 0.0265 (0.0290) loss_contra: 0.0007 (0.0026) time: 2.6091 data: 0.0054 max mem: 31630 Epoch: [31] [2320/5278] eta: 2:11:16 lr: 1.248400172376832e-05 loss: 0.0407 (0.0425) loss_seg: 0.0404 (0.0422) loss_lansim: 0.0265 (0.0290) loss_contra: 0.0006 (0.0026) time: 2.6116 data: 0.0054 max mem: 31630 Epoch: [31] [2330/5278] eta: 2:10:49 lr: 1.2481514898354678e-05 loss: 0.0410 (0.0425) loss_seg: 0.0408 (0.0422) loss_lansim: 0.0269 (0.0290) loss_contra: 0.0004 (0.0026) time: 2.6117 data: 0.0054 max mem: 31630 Epoch: [31] [2340/5278] eta: 2:10:22 lr: 1.247902801788684e-05 loss: 0.0427 (0.0425) loss_seg: 0.0423 (0.0422) loss_lansim: 0.0274 (0.0290) loss_contra: 0.0004 (0.0026) time: 2.6126 data: 0.0055 max mem: 31630 Epoch: [31] [2350/5278] eta: 2:09:54 lr: 1.2476541082351401e-05 loss: 0.0427 (0.0426) loss_seg: 0.0423 (0.0422) loss_lansim: 0.0279 (0.0290) loss_contra: 0.0003 (0.0025) time: 2.6131 data: 0.0055 max mem: 31630 Epoch: [31] [2360/5278] eta: 2:09:27 lr: 1.2474054091734946e-05 loss: 0.0414 (0.0425) loss_seg: 0.0412 (0.0422) loss_lansim: 0.0281 (0.0290) loss_contra: 0.0003 (0.0025) time: 2.6135 data: 0.0055 max mem: 31630 Epoch: [31] [2370/5278] eta: 2:09:00 lr: 1.2471567046024046e-05 loss: 0.0427 (0.0425) loss_seg: 0.0424 (0.0422) loss_lansim: 0.0282 (0.0291) loss_contra: 0.0002 (0.0026) time: 2.6123 data: 0.0056 max mem: 31630 Epoch: [31] [2380/5278] eta: 2:08:32 lr: 1.2469079945205275e-05 loss: 0.0434 (0.0425) loss_seg: 0.0430 (0.0422) loss_lansim: 0.0287 (0.0291) loss_contra: 0.0003 (0.0026) time: 2.6118 data: 0.0056 max mem: 31630 Epoch: [31] [2390/5278] eta: 2:08:05 lr: 1.24665927892652e-05 loss: 0.0440 (0.0426) loss_seg: 0.0434 (0.0423) loss_lansim: 0.0287 (0.0291) loss_contra: 0.0003 (0.0026) time: 2.6117 data: 0.0056 max mem: 31630 Epoch: [31] [2400/5278] eta: 2:07:38 lr: 1.2464105578190377e-05 loss: 0.0411 (0.0426) loss_seg: 0.0408 (0.0422) loss_lansim: 0.0288 (0.0291) loss_contra: 0.0003 (0.0026) time: 2.6112 data: 0.0056 max mem: 31630 Epoch: [31] [2410/5278] eta: 2:07:11 lr: 1.2461618311967368e-05 loss: 0.0403 (0.0425) loss_seg: 0.0400 (0.0422) loss_lansim: 0.0292 (0.0291) loss_contra: 0.0002 (0.0026) time: 2.6100 data: 0.0056 max mem: 31630 Epoch: [31] [2420/5278] eta: 2:06:43 lr: 1.2459130990582705e-05 loss: 0.0407 (0.0425) loss_seg: 0.0403 (0.0422) loss_lansim: 0.0292 (0.0291) loss_contra: 0.0002 (0.0026) time: 2.6070 data: 0.0056 max mem: 31630 Epoch: [31] [2430/5278] eta: 2:06:16 lr: 1.2456643614022936e-05 loss: 0.0403 (0.0425) loss_seg: 0.0400 (0.0422) loss_lansim: 0.0293 (0.0291) loss_contra: 0.0003 (0.0026) time: 2.6066 data: 0.0056 max mem: 31630 Epoch: [31] [2440/5278] eta: 2:05:49 lr: 1.2454156182274593e-05 loss: 0.0398 (0.0425) loss_seg: 0.0395 (0.0422) loss_lansim: 0.0292 (0.0291) loss_contra: 0.0003 (0.0026) time: 2.6059 data: 0.0057 max mem: 31630 Epoch: [31] [2450/5278] eta: 2:05:22 lr: 1.2451668695324212e-05 loss: 0.0393 (0.0425) loss_seg: 0.0390 (0.0422) loss_lansim: 0.0292 (0.0291) loss_contra: 0.0003 (0.0026) time: 2.6050 data: 0.0057 max mem: 31630 Epoch: [31] [2460/5278] eta: 2:04:54 lr: 1.24491811531583e-05 loss: 0.0391 (0.0425) loss_seg: 0.0388 (0.0422) loss_lansim: 0.0294 (0.0291) loss_contra: 0.0003 (0.0026) time: 2.6030 data: 0.0056 max mem: 31630 Epoch: [31] [2470/5278] eta: 2:04:27 lr: 1.2446693555763378e-05 loss: 0.0391 (0.0425) loss_seg: 0.0388 (0.0422) loss_lansim: 0.0296 (0.0291) loss_contra: 0.0003 (0.0026) time: 2.6030 data: 0.0056 max mem: 31630 Epoch: [31] [2480/5278] eta: 2:04:00 lr: 1.2444205903125956e-05 loss: 0.0391 (0.0425) loss_seg: 0.0388 (0.0422) loss_lansim: 0.0294 (0.0291) loss_contra: 0.0003 (0.0026) time: 2.6025 data: 0.0056 max mem: 31630 Epoch: [31] [2490/5278] eta: 2:03:32 lr: 1.2441718195232543e-05 loss: 0.0391 (0.0425) loss_seg: 0.0388 (0.0422) loss_lansim: 0.0296 (0.0291) loss_contra: 0.0003 (0.0026) time: 2.6016 data: 0.0056 max mem: 31630 Epoch: [31] [2500/5278] eta: 2:03:05 lr: 1.2439230432069622e-05 loss: 0.0395 (0.0425) loss_seg: 0.0392 (0.0422) loss_lansim: 0.0298 (0.0291) loss_contra: 0.0002 (0.0026) time: 2.6003 data: 0.0056 max mem: 31630 Epoch: [31] [2510/5278] eta: 2:02:38 lr: 1.2436742613623688e-05 loss: 0.0395 (0.0425) loss_seg: 0.0392 (0.0421) loss_lansim: 0.0298 (0.0291) loss_contra: 0.0002 (0.0026) time: 2.5994 data: 0.0056 max mem: 31630 Epoch: [31] [2520/5278] eta: 2:02:11 lr: 1.2434254739881226e-05 loss: 0.0394 (0.0425) loss_seg: 0.0392 (0.0421) loss_lansim: 0.0304 (0.0291) loss_contra: 0.0003 (0.0026) time: 2.5990 data: 0.0055 max mem: 31630 Epoch: [31] [2530/5278] eta: 2:01:43 lr: 1.2431766810828718e-05 loss: 0.0399 (0.0425) loss_seg: 0.0396 (0.0422) loss_lansim: 0.0299 (0.0291) loss_contra: 0.0002 (0.0026) time: 2.5979 data: 0.0055 max mem: 31630 Epoch: [31] [2540/5278] eta: 2:01:16 lr: 1.2429278826452626e-05 loss: 0.0403 (0.0425) loss_seg: 0.0399 (0.0422) loss_lansim: 0.0304 (0.0292) loss_contra: 0.0003 (0.0026) time: 2.5966 data: 0.0055 max mem: 31630 Epoch: [31] [2550/5278] eta: 2:00:49 lr: 1.2426790786739414e-05 loss: 0.0399 (0.0425) loss_seg: 0.0396 (0.0421) loss_lansim: 0.0301 (0.0292) loss_contra: 0.0003 (0.0026) time: 2.5960 data: 0.0054 max mem: 31630 Epoch: [31] [2560/5278] eta: 2:00:22 lr: 1.2424302691675547e-05 loss: 0.0399 (0.0424) loss_seg: 0.0396 (0.0421) loss_lansim: 0.0301 (0.0292) loss_contra: 0.0003 (0.0026) time: 2.6000 data: 0.0054 max mem: 31630 Epoch: [31] [2570/5278] eta: 1:59:55 lr: 1.242181454124748e-05 loss: 0.0395 (0.0425) loss_seg: 0.0392 (0.0421) loss_lansim: 0.0298 (0.0292) loss_contra: 0.0002 (0.0026) time: 2.6010 data: 0.0054 max mem: 31630 Epoch: [31] [2580/5278] eta: 1:59:28 lr: 1.2419326335441647e-05 loss: 0.0399 (0.0425) loss_seg: 0.0396 (0.0422) loss_lansim: 0.0301 (0.0292) loss_contra: 0.0002 (0.0026) time: 2.6051 data: 0.0054 max mem: 31630 Epoch: [31] [2590/5278] eta: 1:59:01 lr: 1.2416838074244494e-05 loss: 0.0391 (0.0425) loss_seg: 0.0388 (0.0421) loss_lansim: 0.0300 (0.0292) loss_contra: 0.0002 (0.0026) time: 2.6061 data: 0.0054 max mem: 31630 Epoch: [31] [2600/5278] eta: 1:58:34 lr: 1.2414349757642451e-05 loss: 0.0391 (0.0425) loss_seg: 0.0388 (0.0422) loss_lansim: 0.0299 (0.0292) loss_contra: 0.0002 (0.0026) time: 2.6070 data: 0.0054 max mem: 31630 Epoch: [31] [2610/5278] eta: 1:58:07 lr: 1.2411861385621955e-05 loss: 0.0393 (0.0425) loss_seg: 0.0390 (0.0422) loss_lansim: 0.0294 (0.0292) loss_contra: 0.0002 (0.0026) time: 2.6085 data: 0.0054 max mem: 31630 Epoch: [31] [2620/5278] eta: 1:57:40 lr: 1.240937295816941e-05 loss: 0.0403 (0.0425) loss_seg: 0.0399 (0.0422) loss_lansim: 0.0293 (0.0292) loss_contra: 0.0003 (0.0026) time: 2.6118 data: 0.0054 max mem: 31630 Epoch: [31] [2630/5278] eta: 1:57:13 lr: 1.2406884475271238e-05 loss: 0.0393 (0.0425) loss_seg: 0.0390 (0.0422) loss_lansim: 0.0291 (0.0292) loss_contra: 0.0003 (0.0026) time: 2.6132 data: 0.0054 max mem: 31630 Epoch: [31] [2640/5278] eta: 1:56:46 lr: 1.2404395936913847e-05 loss: 0.0391 (0.0425) loss_seg: 0.0388 (0.0422) loss_lansim: 0.0284 (0.0292) loss_contra: 0.0002 (0.0026) time: 2.6176 data: 0.0055 max mem: 31630 Epoch: [31] [2650/5278] eta: 1:56:19 lr: 1.2401907343083638e-05 loss: 0.0393 (0.0425) loss_seg: 0.0390 (0.0422) loss_lansim: 0.0284 (0.0292) loss_contra: 0.0002 (0.0026) time: 2.6186 data: 0.0055 max mem: 31630 Epoch: [31] [2660/5278] eta: 1:55:52 lr: 1.2399418693767009e-05 loss: 0.0393 (0.0425) loss_seg: 0.0390 (0.0422) loss_lansim: 0.0286 (0.0292) loss_contra: 0.0002 (0.0026) time: 2.6160 data: 0.0055 max mem: 31630 Epoch: [31] [2670/5278] eta: 1:55:25 lr: 1.2396929988950342e-05 loss: 0.0390 (0.0425) loss_seg: 0.0387 (0.0422) loss_lansim: 0.0291 (0.0292) loss_contra: 0.0002 (0.0026) time: 2.6159 data: 0.0056 max mem: 31630 Epoch: [31] [2680/5278] eta: 1:54:58 lr: 1.2394441228620018e-05 loss: 0.0391 (0.0425) loss_seg: 0.0388 (0.0422) loss_lansim: 0.0290 (0.0292) loss_contra: 0.0002 (0.0026) time: 2.6133 data: 0.0056 max mem: 31630 Epoch: [31] [2690/5278] eta: 1:54:31 lr: 1.2391952412762418e-05 loss: 0.0398 (0.0425) loss_seg: 0.0394 (0.0422) loss_lansim: 0.0291 (0.0292) loss_contra: 0.0002 (0.0026) time: 2.6137 data: 0.0056 max mem: 31630 Epoch: [31] [2700/5278] eta: 1:54:04 lr: 1.2389463541363914e-05 loss: 0.0401 (0.0426) loss_seg: 0.0399 (0.0423) loss_lansim: 0.0296 (0.0292) loss_contra: 0.0002 (0.0026) time: 2.6147 data: 0.0057 max mem: 31630 Epoch: [31] [2710/5278] eta: 1:53:37 lr: 1.2386974614410862e-05 loss: 0.0404 (0.0426) loss_seg: 0.0401 (0.0423) loss_lansim: 0.0303 (0.0293) loss_contra: 0.0002 (0.0027) time: 2.6148 data: 0.0058 max mem: 31630 Epoch: [31] [2720/5278] eta: 1:53:10 lr: 1.2384485631889617e-05 loss: 0.0409 (0.0426) loss_seg: 0.0405 (0.0423) loss_lansim: 0.0301 (0.0293) loss_contra: 0.0002 (0.0027) time: 2.6126 data: 0.0058 max mem: 31630 Epoch: [31] [2730/5278] eta: 1:52:43 lr: 1.2381996593786535e-05 loss: 0.0409 (0.0426) loss_seg: 0.0405 (0.0423) loss_lansim: 0.0307 (0.0293) loss_contra: 0.0002 (0.0027) time: 2.6116 data: 0.0058 max mem: 31630 Epoch: [31] [2740/5278] eta: 1:52:16 lr: 1.2379507500087962e-05 loss: 0.0414 (0.0426) loss_seg: 0.0411 (0.0423) loss_lansim: 0.0310 (0.0293) loss_contra: 0.0003 (0.0027) time: 2.6084 data: 0.0058 max mem: 31630 Epoch: [31] [2750/5278] eta: 1:51:49 lr: 1.2377018350780228e-05 loss: 0.0404 (0.0426) loss_seg: 0.0401 (0.0423) loss_lansim: 0.0310 (0.0293) loss_contra: 0.0004 (0.0027) time: 2.6084 data: 0.0057 max mem: 31630 Epoch: [31] [2760/5278] eta: 1:51:22 lr: 1.2374529145849664e-05 loss: 0.0416 (0.0426) loss_seg: 0.0413 (0.0423) loss_lansim: 0.0303 (0.0293) loss_contra: 0.0005 (0.0027) time: 2.6079 data: 0.0057 max mem: 31630 Epoch: [31] [2770/5278] eta: 1:50:55 lr: 1.2372039885282598e-05 loss: 0.0427 (0.0427) loss_seg: 0.0425 (0.0423) loss_lansim: 0.0303 (0.0293) loss_contra: 0.0005 (0.0027) time: 2.6078 data: 0.0057 max mem: 31630 Epoch: [31] [2780/5278] eta: 1:50:28 lr: 1.2369550569065354e-05 loss: 0.0404 (0.0426) loss_seg: 0.0401 (0.0423) loss_lansim: 0.0299 (0.0293) loss_contra: 0.0006 (0.0027) time: 2.6078 data: 0.0057 max mem: 31630 Epoch: [31] [2790/5278] eta: 1:50:01 lr: 1.2367061197184229e-05 loss: 0.0404 (0.0426) loss_seg: 0.0401 (0.0423) loss_lansim: 0.0301 (0.0293) loss_contra: 0.0005 (0.0027) time: 2.6081 data: 0.0057 max mem: 31630 Epoch: [31] [2800/5278] eta: 1:49:35 lr: 1.2364571769625538e-05 loss: 0.0404 (0.0426) loss_seg: 0.0401 (0.0423) loss_lansim: 0.0301 (0.0293) loss_contra: 0.0004 (0.0027) time: 2.6077 data: 0.0056 max mem: 31630 Epoch: [31] [2810/5278] eta: 1:49:08 lr: 1.2362082286375577e-05 loss: 0.0404 (0.0426) loss_seg: 0.0401 (0.0423) loss_lansim: 0.0299 (0.0293) loss_contra: 0.0005 (0.0027) time: 2.6084 data: 0.0055 max mem: 31630 Epoch: [31] [2820/5278] eta: 1:48:41 lr: 1.2359592747420645e-05 loss: 0.0393 (0.0426) loss_seg: 0.0391 (0.0423) loss_lansim: 0.0300 (0.0293) loss_contra: 0.0004 (0.0027) time: 2.6102 data: 0.0055 max mem: 31630 Epoch: [31] [2830/5278] eta: 1:48:14 lr: 1.2357103152747016e-05 loss: 0.0397 (0.0426) loss_seg: 0.0393 (0.0423) loss_lansim: 0.0291 (0.0293) loss_contra: 0.0003 (0.0027) time: 2.6114 data: 0.0056 max mem: 31630 Epoch: [31] [2840/5278] eta: 1:47:47 lr: 1.2354613502340976e-05 loss: 0.0401 (0.0426) loss_seg: 0.0399 (0.0423) loss_lansim: 0.0300 (0.0294) loss_contra: 0.0003 (0.0027) time: 2.6120 data: 0.0055 max mem: 31630 Epoch: [31] [2850/5278] eta: 1:47:20 lr: 1.2352123796188796e-05 loss: 0.0404 (0.0426) loss_seg: 0.0401 (0.0423) loss_lansim: 0.0301 (0.0294) loss_contra: 0.0003 (0.0027) time: 2.6125 data: 0.0055 max mem: 31630 Epoch: [31] [2860/5278] eta: 1:46:53 lr: 1.234963403427675e-05 loss: 0.0400 (0.0426) loss_seg: 0.0394 (0.0423) loss_lansim: 0.0303 (0.0294) loss_contra: 0.0003 (0.0027) time: 2.6132 data: 0.0056 max mem: 31630 Epoch: [31] [2870/5278] eta: 1:46:27 lr: 1.2347144216591086e-05 loss: 0.0393 (0.0426) loss_seg: 0.0391 (0.0423) loss_lansim: 0.0302 (0.0294) loss_contra: 0.0003 (0.0027) time: 2.6165 data: 0.0057 max mem: 31630 Epoch: [31] [2880/5278] eta: 1:46:00 lr: 1.2344654343118063e-05 loss: 0.0400 (0.0426) loss_seg: 0.0397 (0.0423) loss_lansim: 0.0306 (0.0294) loss_contra: 0.0003 (0.0027) time: 2.6170 data: 0.0057 max mem: 31630 Epoch: [31] [2890/5278] eta: 1:45:33 lr: 1.234216441384393e-05 loss: 0.0388 (0.0426) loss_seg: 0.0385 (0.0423) loss_lansim: 0.0304 (0.0294) loss_contra: 0.0003 (0.0027) time: 2.6172 data: 0.0057 max mem: 31630 Epoch: [31] [2900/5278] eta: 1:45:06 lr: 1.2339674428754926e-05 loss: 0.0385 (0.0426) loss_seg: 0.0382 (0.0423) loss_lansim: 0.0301 (0.0294) loss_contra: 0.0003 (0.0027) time: 2.6171 data: 0.0057 max mem: 31630 Epoch: [31] [2910/5278] eta: 1:44:39 lr: 1.233718438783729e-05 loss: 0.0384 (0.0426) loss_seg: 0.0379 (0.0423) loss_lansim: 0.0298 (0.0294) loss_contra: 0.0003 (0.0027) time: 2.6159 data: 0.0057 max mem: 31630 Epoch: [31] [2920/5278] eta: 1:44:13 lr: 1.2334694291077239e-05 loss: 0.0384 (0.0426) loss_seg: 0.0379 (0.0422) loss_lansim: 0.0294 (0.0294) loss_contra: 0.0003 (0.0027) time: 2.6159 data: 0.0057 max mem: 31630 Epoch: [31] [2930/5278] eta: 1:43:46 lr: 1.2332204138461001e-05 loss: 0.0381 (0.0426) loss_seg: 0.0377 (0.0422) loss_lansim: 0.0296 (0.0294) loss_contra: 0.0003 (0.0027) time: 2.6196 data: 0.0056 max mem: 31630 Epoch: [31] [2940/5278] eta: 1:43:19 lr: 1.232971392997479e-05 loss: 0.0381 (0.0426) loss_seg: 0.0377 (0.0423) loss_lansim: 0.0295 (0.0294) loss_contra: 0.0004 (0.0027) time: 2.6210 data: 0.0057 max mem: 31630 Epoch: [31] [2950/5278] eta: 1:42:52 lr: 1.2327223665604818e-05 loss: 0.0379 (0.0426) loss_seg: 0.0376 (0.0423) loss_lansim: 0.0298 (0.0294) loss_contra: 0.0003 (0.0027) time: 2.6197 data: 0.0057 max mem: 31630 Epoch: [31] [2960/5278] eta: 1:42:26 lr: 1.232473334533728e-05 loss: 0.0359 (0.0426) loss_seg: 0.0354 (0.0423) loss_lansim: 0.0306 (0.0295) loss_contra: 0.0003 (0.0028) time: 2.6191 data: 0.0056 max mem: 31630 Epoch: [31] [2970/5278] eta: 1:41:59 lr: 1.2322242969158371e-05 loss: 0.0380 (0.0426) loss_seg: 0.0377 (0.0423) loss_lansim: 0.0326 (0.0295) loss_contra: 0.0002 (0.0028) time: 2.6171 data: 0.0056 max mem: 31630 Epoch: [31] [2980/5278] eta: 1:41:32 lr: 1.2319752537054285e-05 loss: 0.0365 (0.0426) loss_seg: 0.0362 (0.0423) loss_lansim: 0.0343 (0.0296) loss_contra: 0.0002 (0.0028) time: 2.6189 data: 0.0055 max mem: 31630 Epoch: [31] [2990/5278] eta: 1:41:05 lr: 1.2317262049011206e-05 loss: 0.0381 (0.0426) loss_seg: 0.0377 (0.0423) loss_lansim: 0.0355 (0.0296) loss_contra: 0.0002 (0.0028) time: 2.6182 data: 0.0056 max mem: 31630 Epoch: [31] [3000/5278] eta: 1:40:38 lr: 1.23147715050153e-05 loss: 0.0383 (0.0426) loss_seg: 0.0379 (0.0423) loss_lansim: 0.0372 (0.0297) loss_contra: 0.0002 (0.0029) time: 2.6179 data: 0.0056 max mem: 31630 Epoch: [31] [3010/5278] eta: 1:40:12 lr: 1.2312280905052742e-05 loss: 0.0385 (0.0426) loss_seg: 0.0383 (0.0423) loss_lansim: 0.0385 (0.0297) loss_contra: 0.0002 (0.0029) time: 2.6186 data: 0.0057 max mem: 31630 Epoch: [31] [3020/5278] eta: 1:39:45 lr: 1.2309790249109694e-05 loss: 0.0416 (0.0426) loss_seg: 0.0411 (0.0423) loss_lansim: 0.0393 (0.0298) loss_contra: 0.0002 (0.0029) time: 2.6165 data: 0.0058 max mem: 31630 Epoch: [31] [3030/5278] eta: 1:39:18 lr: 1.2307299537172317e-05 loss: 0.0417 (0.0426) loss_seg: 0.0412 (0.0423) loss_lansim: 0.0406 (0.0298) loss_contra: 0.0004 (0.0029) time: 2.6143 data: 0.0058 max mem: 31630 Epoch: [31] [3040/5278] eta: 1:38:51 lr: 1.2304808769226754e-05 loss: 0.0415 (0.0426) loss_seg: 0.0410 (0.0423) loss_lansim: 0.0413 (0.0299) loss_contra: 0.0004 (0.0028) time: 2.6125 data: 0.0057 max mem: 31630 Epoch: [31] [3050/5278] eta: 1:38:25 lr: 1.2302317945259144e-05 loss: 0.0415 (0.0426) loss_seg: 0.0410 (0.0423) loss_lansim: 0.0431 (0.0299) loss_contra: 0.0004 (0.0028) time: 2.6163 data: 0.0057 max mem: 31630 Epoch: [31] [3060/5278] eta: 1:37:58 lr: 1.2299827065255633e-05 loss: 0.0416 (0.0426) loss_seg: 0.0411 (0.0423) loss_lansim: 0.0434 (0.0300) loss_contra: 0.0003 (0.0028) time: 2.6166 data: 0.0057 max mem: 31630 Epoch: [31] [3070/5278] eta: 1:37:31 lr: 1.2297336129202352e-05 loss: 0.0418 (0.0427) loss_seg: 0.0412 (0.0424) loss_lansim: 0.0431 (0.0300) loss_contra: 0.0004 (0.0028) time: 2.6152 data: 0.0057 max mem: 31630 Epoch: [31] [3080/5278] eta: 1:37:04 lr: 1.2294845137085412e-05 loss: 0.0415 (0.0427) loss_seg: 0.0410 (0.0424) loss_lansim: 0.0431 (0.0301) loss_contra: 0.0004 (0.0028) time: 2.6125 data: 0.0056 max mem: 31630 Epoch: [31] [3090/5278] eta: 1:36:38 lr: 1.2292354088890938e-05 loss: 0.0420 (0.0427) loss_seg: 0.0416 (0.0424) loss_lansim: 0.0434 (0.0301) loss_contra: 0.0005 (0.0028) time: 2.6164 data: 0.0057 max mem: 31630 Epoch: [31] [3100/5278] eta: 1:36:11 lr: 1.2289862984605038e-05 loss: 0.0418 (0.0427) loss_seg: 0.0413 (0.0424) loss_lansim: 0.0416 (0.0301) loss_contra: 0.0004 (0.0028) time: 2.6179 data: 0.0058 max mem: 31630 Epoch: [31] [3110/5278] eta: 1:35:44 lr: 1.2287371824213825e-05 loss: 0.0415 (0.0427) loss_seg: 0.0410 (0.0424) loss_lansim: 0.0429 (0.0302) loss_contra: 0.0005 (0.0028) time: 2.6186 data: 0.0059 max mem: 31630 Epoch: [31] [3120/5278] eta: 1:35:18 lr: 1.228488060770338e-05 loss: 0.0418 (0.0427) loss_seg: 0.0413 (0.0424) loss_lansim: 0.0434 (0.0302) loss_contra: 0.0005 (0.0028) time: 2.6190 data: 0.0058 max mem: 31630 Epoch: [31] [3130/5278] eta: 1:34:51 lr: 1.2282389335059803e-05 loss: 0.0422 (0.0428) loss_seg: 0.0419 (0.0424) loss_lansim: 0.0416 (0.0302) loss_contra: 0.0004 (0.0028) time: 2.6164 data: 0.0059 max mem: 31630 Epoch: [31] [3140/5278] eta: 1:34:24 lr: 1.2279898006269177e-05 loss: 0.0426 (0.0427) loss_seg: 0.0422 (0.0424) loss_lansim: 0.0417 (0.0303) loss_contra: 0.0005 (0.0028) time: 2.6162 data: 0.0059 max mem: 31630 Epoch: [31] [3150/5278] eta: 1:33:57 lr: 1.2277406621317578e-05 loss: 0.0436 (0.0428) loss_seg: 0.0432 (0.0424) loss_lansim: 0.0416 (0.0303) loss_contra: 0.0005 (0.0028) time: 2.6129 data: 0.0059 max mem: 31630 Epoch: [31] [3160/5278] eta: 1:33:30 lr: 1.2274915180191082e-05 loss: 0.0440 (0.0428) loss_seg: 0.0436 (0.0425) loss_lansim: 0.0416 (0.0304) loss_contra: 0.0005 (0.0028) time: 2.6128 data: 0.0059 max mem: 31630 Epoch: [31] [3170/5278] eta: 1:33:04 lr: 1.2272423682875744e-05 loss: 0.0426 (0.0428) loss_seg: 0.0424 (0.0425) loss_lansim: 0.0416 (0.0304) loss_contra: 0.0005 (0.0028) time: 2.6125 data: 0.0059 max mem: 31630 Epoch: [31] [3180/5278] eta: 1:32:37 lr: 1.2269932129357627e-05 loss: 0.0426 (0.0428) loss_seg: 0.0424 (0.0425) loss_lansim: 0.0404 (0.0304) loss_contra: 0.0004 (0.0028) time: 2.6139 data: 0.0059 max mem: 31630 Epoch: [31] [3190/5278] eta: 1:32:10 lr: 1.2267440519622778e-05 loss: 0.0425 (0.0428) loss_seg: 0.0421 (0.0425) loss_lansim: 0.0403 (0.0305) loss_contra: 0.0004 (0.0028) time: 2.6116 data: 0.0058 max mem: 31630 Epoch: [31] [3200/5278] eta: 1:31:43 lr: 1.2264948853657253e-05 loss: 0.0409 (0.0428) loss_seg: 0.0405 (0.0425) loss_lansim: 0.0403 (0.0305) loss_contra: 0.0005 (0.0028) time: 2.6104 data: 0.0057 max mem: 31630 Epoch: [31] [3210/5278] eta: 1:31:17 lr: 1.2262457131447073e-05 loss: 0.0411 (0.0428) loss_seg: 0.0407 (0.0425) loss_lansim: 0.0399 (0.0305) loss_contra: 0.0004 (0.0028) time: 2.6119 data: 0.0055 max mem: 31630 Epoch: [31] [3220/5278] eta: 1:30:50 lr: 1.2259965352978279e-05 loss: 0.0407 (0.0428) loss_seg: 0.0404 (0.0425) loss_lansim: 0.0399 (0.0306) loss_contra: 0.0004 (0.0028) time: 2.6111 data: 0.0055 max mem: 31630 Epoch: [31] [3230/5278] eta: 1:30:23 lr: 1.2257473518236892e-05 loss: 0.0409 (0.0429) loss_seg: 0.0405 (0.0425) loss_lansim: 0.0399 (0.0306) loss_contra: 0.0004 (0.0028) time: 2.6143 data: 0.0055 max mem: 31630 Epoch: [31] [3240/5278] eta: 1:29:57 lr: 1.2254981627208936e-05 loss: 0.0407 (0.0428) loss_seg: 0.0404 (0.0425) loss_lansim: 0.0394 (0.0306) loss_contra: 0.0004 (0.0028) time: 2.6140 data: 0.0055 max mem: 31630 Epoch: [31] [3250/5278] eta: 1:29:30 lr: 1.2252489679880414e-05 loss: 0.0407 (0.0429) loss_seg: 0.0404 (0.0425) loss_lansim: 0.0399 (0.0307) loss_contra: 0.0005 (0.0028) time: 2.6146 data: 0.0055 max mem: 31630 Epoch: [31] [3260/5278] eta: 1:29:03 lr: 1.2249997676237332e-05 loss: 0.0398 (0.0429) loss_seg: 0.0392 (0.0425) loss_lansim: 0.0399 (0.0307) loss_contra: 0.0005 (0.0028) time: 2.6170 data: 0.0055 max mem: 31630 Epoch: [31] [3270/5278] eta: 1:28:37 lr: 1.2247505616265691e-05 loss: 0.0421 (0.0429) loss_seg: 0.0415 (0.0426) loss_lansim: 0.0400 (0.0308) loss_contra: 0.0005 (0.0028) time: 2.6201 data: 0.0055 max mem: 31630 Epoch: [31] [3280/5278] eta: 1:28:10 lr: 1.2245013499951486e-05 loss: 0.0420 (0.0429) loss_seg: 0.0414 (0.0426) loss_lansim: 0.0401 (0.0308) loss_contra: 0.0005 (0.0028) time: 2.6242 data: 0.0055 max mem: 31630 Epoch: [31] [3290/5278] eta: 1:27:44 lr: 1.2242521327280692e-05 loss: 0.0411 (0.0429) loss_seg: 0.0407 (0.0426) loss_lansim: 0.0404 (0.0308) loss_contra: 0.0004 (0.0028) time: 2.6315 data: 0.0054 max mem: 31630 Epoch: [31] [3300/5278] eta: 1:27:18 lr: 1.2240029098239292e-05 loss: 0.0425 (0.0429) loss_seg: 0.0420 (0.0426) loss_lansim: 0.0403 (0.0308) loss_contra: 0.0004 (0.0028) time: 2.6393 data: 0.0054 max mem: 31630 Epoch: [31] [3310/5278] eta: 1:26:52 lr: 1.2237536812813254e-05 loss: 0.0425 (0.0429) loss_seg: 0.0420 (0.0426) loss_lansim: 0.0403 (0.0309) loss_contra: 0.0004 (0.0028) time: 2.6436 data: 0.0054 max mem: 31630 Epoch: [31] [3320/5278] eta: 1:26:25 lr: 1.2235044470988555e-05 loss: 0.0432 (0.0429) loss_seg: 0.0424 (0.0426) loss_lansim: 0.0401 (0.0309) loss_contra: 0.0004 (0.0028) time: 2.6517 data: 0.0054 max mem: 31630 Epoch: [31] [3330/5278] eta: 1:25:59 lr: 1.2232552072751135e-05 loss: 0.0420 (0.0429) loss_seg: 0.0415 (0.0426) loss_lansim: 0.0403 (0.0309) loss_contra: 0.0004 (0.0028) time: 2.6572 data: 0.0054 max mem: 31630 Epoch: [31] [3340/5278] eta: 1:25:33 lr: 1.2230059618086956e-05 loss: 0.0410 (0.0429) loss_seg: 0.0407 (0.0426) loss_lansim: 0.0402 (0.0309) loss_contra: 0.0004 (0.0028) time: 2.6649 data: 0.0054 max mem: 31630 Epoch: [31] [3350/5278] eta: 1:25:07 lr: 1.222756710698196e-05 loss: 0.0408 (0.0429) loss_seg: 0.0403 (0.0426) loss_lansim: 0.0400 (0.0310) loss_contra: 0.0004 (0.0028) time: 2.6726 data: 0.0054 max mem: 31630 Epoch: [31] [3360/5278] eta: 1:24:40 lr: 1.2225074539422089e-05 loss: 0.0407 (0.0429) loss_seg: 0.0402 (0.0425) loss_lansim: 0.0400 (0.0310) loss_contra: 0.0004 (0.0028) time: 2.6777 data: 0.0053 max mem: 31630 Epoch: [31] [3370/5278] eta: 1:24:14 lr: 1.2222581915393265e-05 loss: 0.0385 (0.0429) loss_seg: 0.0380 (0.0425) loss_lansim: 0.0389 (0.0310) loss_contra: 0.0004 (0.0028) time: 2.6821 data: 0.0053 max mem: 31630 Epoch: [31] [3380/5278] eta: 1:23:48 lr: 1.2220089234881418e-05 loss: 0.0385 (0.0429) loss_seg: 0.0380 (0.0425) loss_lansim: 0.0382 (0.0310) loss_contra: 0.0004 (0.0028) time: 2.6843 data: 0.0053 max mem: 31630 Epoch: [31] [3390/5278] eta: 1:23:21 lr: 1.2217596497872467e-05 loss: 0.0379 (0.0428) loss_seg: 0.0375 (0.0425) loss_lansim: 0.0374 (0.0310) loss_contra: 0.0004 (0.0028) time: 2.6824 data: 0.0053 max mem: 31630 Epoch: [31] [3400/5278] eta: 1:22:55 lr: 1.2215103704352322e-05 loss: 0.0379 (0.0428) loss_seg: 0.0375 (0.0425) loss_lansim: 0.0377 (0.0311) loss_contra: 0.0004 (0.0028) time: 2.6787 data: 0.0054 max mem: 31630 Epoch: [31] [3410/5278] eta: 1:22:28 lr: 1.2212610854306891e-05 loss: 0.0379 (0.0429) loss_seg: 0.0375 (0.0426) loss_lansim: 0.0377 (0.0311) loss_contra: 0.0003 (0.0028) time: 2.6748 data: 0.0055 max mem: 31630 Epoch: [31] [3420/5278] eta: 1:22:02 lr: 1.2210117947722063e-05 loss: 0.0370 (0.0430) loss_seg: 0.0367 (0.0426) loss_lansim: 0.0375 (0.0311) loss_contra: 0.0003 (0.0028) time: 2.6681 data: 0.0055 max mem: 31630 Epoch: [31] [3430/5278] eta: 1:21:35 lr: 1.2207624984583734e-05 loss: 0.0369 (0.0430) loss_seg: 0.0366 (0.0426) loss_lansim: 0.0374 (0.0311) loss_contra: 0.0003 (0.0028) time: 2.6682 data: 0.0056 max mem: 31630 Epoch: [31] [3440/5278] eta: 1:21:09 lr: 1.2205131964877788e-05 loss: 0.0378 (0.0429) loss_seg: 0.0373 (0.0426) loss_lansim: 0.0372 (0.0311) loss_contra: 0.0003 (0.0028) time: 2.6685 data: 0.0057 max mem: 31630 Epoch: [31] [3450/5278] eta: 1:20:43 lr: 1.2202638888590108e-05 loss: 0.0385 (0.0429) loss_seg: 0.0380 (0.0426) loss_lansim: 0.0377 (0.0312) loss_contra: 0.0003 (0.0028) time: 2.6685 data: 0.0057 max mem: 31630 Epoch: [31] [3460/5278] eta: 1:20:16 lr: 1.2200145755706555e-05 loss: 0.0386 (0.0429) loss_seg: 0.0382 (0.0426) loss_lansim: 0.0379 (0.0312) loss_contra: 0.0003 (0.0028) time: 2.6675 data: 0.0057 max mem: 31630 Epoch: [31] [3470/5278] eta: 1:19:50 lr: 1.2197652566212996e-05 loss: 0.0378 (0.0429) loss_seg: 0.0373 (0.0426) loss_lansim: 0.0379 (0.0312) loss_contra: 0.0003 (0.0028) time: 2.6664 data: 0.0057 max mem: 31630 Epoch: [31] [3480/5278] eta: 1:19:24 lr: 1.219515932009529e-05 loss: 0.0386 (0.0429) loss_seg: 0.0382 (0.0426) loss_lansim: 0.0382 (0.0312) loss_contra: 0.0002 (0.0028) time: 2.6646 data: 0.0057 max mem: 31630 Epoch: [31] [3490/5278] eta: 1:18:57 lr: 1.2192666017339294e-05 loss: 0.0388 (0.0429) loss_seg: 0.0383 (0.0426) loss_lansim: 0.0382 (0.0313) loss_contra: 0.0003 (0.0028) time: 2.6640 data: 0.0057 max mem: 31630 Epoch: [31] [3500/5278] eta: 1:18:31 lr: 1.2190172657930838e-05 loss: 0.0393 (0.0430) loss_seg: 0.0390 (0.0426) loss_lansim: 0.0382 (0.0313) loss_contra: 0.0003 (0.0028) time: 2.6680 data: 0.0056 max mem: 31630 Epoch: [31] [3510/5278] eta: 1:18:05 lr: 1.2187679241855766e-05 loss: 0.0386 (0.0429) loss_seg: 0.0382 (0.0426) loss_lansim: 0.0382 (0.0313) loss_contra: 0.0004 (0.0028) time: 2.6725 data: 0.0056 max mem: 31630 Epoch: [31] [3520/5278] eta: 1:17:38 lr: 1.2185185769099911e-05 loss: 0.0379 (0.0429) loss_seg: 0.0376 (0.0426) loss_lansim: 0.0382 (0.0313) loss_contra: 0.0003 (0.0028) time: 2.6776 data: 0.0056 max mem: 31630 Epoch: [31] [3530/5278] eta: 1:17:12 lr: 1.2182692239649098e-05 loss: 0.0386 (0.0429) loss_seg: 0.0382 (0.0426) loss_lansim: 0.0379 (0.0313) loss_contra: 0.0003 (0.0028) time: 2.6754 data: 0.0056 max mem: 31630 Epoch: [31] [3540/5278] eta: 1:16:45 lr: 1.2180198653489133e-05 loss: 0.0395 (0.0429) loss_seg: 0.0391 (0.0426) loss_lansim: 0.0379 (0.0314) loss_contra: 0.0003 (0.0028) time: 2.6732 data: 0.0055 max mem: 31630 Epoch: [31] [3550/5278] eta: 1:16:19 lr: 1.2177705010605834e-05 loss: 0.0392 (0.0429) loss_seg: 0.0389 (0.0426) loss_lansim: 0.0378 (0.0314) loss_contra: 0.0002 (0.0028) time: 2.6707 data: 0.0054 max mem: 31630 Epoch: [31] [3560/5278] eta: 1:15:52 lr: 1.2175211310985002e-05 loss: 0.0398 (0.0429) loss_seg: 0.0394 (0.0426) loss_lansim: 0.0378 (0.0314) loss_contra: 0.0003 (0.0028) time: 2.6704 data: 0.0054 max mem: 31630 Epoch: [31] [3570/5278] eta: 1:15:26 lr: 1.2172717554612442e-05 loss: 0.0408 (0.0430) loss_seg: 0.0404 (0.0426) loss_lansim: 0.0374 (0.0314) loss_contra: 0.0003 (0.0028) time: 2.6724 data: 0.0054 max mem: 31630 Epoch: [31] [3580/5278] eta: 1:15:00 lr: 1.2170223741473926e-05 loss: 0.0408 (0.0430) loss_seg: 0.0404 (0.0426) loss_lansim: 0.0374 (0.0314) loss_contra: 0.0003 (0.0028) time: 2.6737 data: 0.0054 max mem: 31630 Epoch: [31] [3590/5278] eta: 1:14:33 lr: 1.216772987155525e-05 loss: 0.0408 (0.0430) loss_seg: 0.0404 (0.0426) loss_lansim: 0.0378 (0.0315) loss_contra: 0.0002 (0.0028) time: 2.6768 data: 0.0054 max mem: 31630 Epoch: [31] [3600/5278] eta: 1:14:07 lr: 1.2165235944842187e-05 loss: 0.0408 (0.0430) loss_seg: 0.0404 (0.0426) loss_lansim: 0.0381 (0.0315) loss_contra: 0.0002 (0.0028) time: 2.6824 data: 0.0054 max mem: 31630 Epoch: [31] [3610/5278] eta: 1:13:41 lr: 1.2162741961320511e-05 loss: 0.0421 (0.0430) loss_seg: 0.0417 (0.0427) loss_lansim: 0.0382 (0.0315) loss_contra: 0.0002 (0.0028) time: 2.6894 data: 0.0053 max mem: 31630 Epoch: [31] [3620/5278] eta: 1:13:15 lr: 1.2160247920975974e-05 loss: 0.0427 (0.0430) loss_seg: 0.0423 (0.0427) loss_lansim: 0.0384 (0.0315) loss_contra: 0.0002 (0.0028) time: 2.6980 data: 0.0052 max mem: 31630 Epoch: [31] [3630/5278] eta: 1:12:49 lr: 1.2157753823794335e-05 loss: 0.0428 (0.0430) loss_seg: 0.0423 (0.0427) loss_lansim: 0.0384 (0.0316) loss_contra: 0.0002 (0.0028) time: 2.7047 data: 0.0052 max mem: 31630 Epoch: [31] [3640/5278] eta: 1:12:23 lr: 1.2155259669761345e-05 loss: 0.0422 (0.0430) loss_seg: 0.0418 (0.0427) loss_lansim: 0.0385 (0.0316) loss_contra: 0.0002 (0.0028) time: 2.7129 data: 0.0053 max mem: 31630 Epoch: [31] [3650/5278] eta: 1:11:57 lr: 1.2152765458862748e-05 loss: 0.0427 (0.0430) loss_seg: 0.0423 (0.0427) loss_lansim: 0.0384 (0.0316) loss_contra: 0.0002 (0.0028) time: 2.7215 data: 0.0053 max mem: 31630 Epoch: [31] [3660/5278] eta: 1:11:31 lr: 1.215027119108428e-05 loss: 0.0421 (0.0430) loss_seg: 0.0417 (0.0427) loss_lansim: 0.0382 (0.0316) loss_contra: 0.0003 (0.0028) time: 2.7302 data: 0.0053 max mem: 31630 Epoch: [31] [3670/5278] eta: 1:11:05 lr: 1.2147776866411664e-05 loss: 0.0422 (0.0430) loss_seg: 0.0418 (0.0427) loss_lansim: 0.0384 (0.0316) loss_contra: 0.0003 (0.0028) time: 2.7376 data: 0.0053 max mem: 31630 Epoch: [31] [3680/5278] eta: 1:10:39 lr: 1.2145282484830622e-05 loss: 0.0422 (0.0430) loss_seg: 0.0418 (0.0427) loss_lansim: 0.0384 (0.0317) loss_contra: 0.0003 (0.0028) time: 2.7462 data: 0.0054 max mem: 31630 Epoch: [31] [3690/5278] eta: 1:10:13 lr: 1.2142788046326868e-05 loss: 0.0427 (0.0431) loss_seg: 0.0423 (0.0427) loss_lansim: 0.0384 (0.0317) loss_contra: 0.0003 (0.0028) time: 2.7533 data: 0.0055 max mem: 31630 Epoch: [31] [3700/5278] eta: 1:09:47 lr: 1.214029355088612e-05 loss: 0.0417 (0.0431) loss_seg: 0.0413 (0.0427) loss_lansim: 0.0382 (0.0317) loss_contra: 0.0003 (0.0028) time: 2.7519 data: 0.0055 max mem: 31630 Epoch: [31] [3710/5278] eta: 1:09:21 lr: 1.2137798998494065e-05 loss: 0.0409 (0.0431) loss_seg: 0.0405 (0.0427) loss_lansim: 0.0381 (0.0317) loss_contra: 0.0002 (0.0028) time: 2.7523 data: 0.0055 max mem: 31630 Epoch: [31] [3720/5278] eta: 1:08:54 lr: 1.2135304389136402e-05 loss: 0.0398 (0.0430) loss_seg: 0.0395 (0.0427) loss_lansim: 0.0376 (0.0317) loss_contra: 0.0002 (0.0028) time: 2.7534 data: 0.0056 max mem: 31630 Epoch: [31] [3730/5278] eta: 1:08:28 lr: 1.213280972279882e-05 loss: 0.0398 (0.0431) loss_seg: 0.0395 (0.0427) loss_lansim: 0.0371 (0.0317) loss_contra: 0.0003 (0.0028) time: 2.7553 data: 0.0057 max mem: 31630 Epoch: [31] [3740/5278] eta: 1:08:02 lr: 1.2130314999467005e-05 loss: 0.0406 (0.0431) loss_seg: 0.0402 (0.0427) loss_lansim: 0.0370 (0.0317) loss_contra: 0.0002 (0.0028) time: 2.7572 data: 0.0057 max mem: 31630 Epoch: [31] [3750/5278] eta: 1:07:36 lr: 1.2127820219126616e-05 loss: 0.0411 (0.0431) loss_seg: 0.0406 (0.0427) loss_lansim: 0.0376 (0.0318) loss_contra: 0.0002 (0.0028) time: 2.7596 data: 0.0058 max mem: 31630 Epoch: [31] [3760/5278] eta: 1:07:10 lr: 1.2125325381763329e-05 loss: 0.0408 (0.0431) loss_seg: 0.0405 (0.0427) loss_lansim: 0.0376 (0.0318) loss_contra: 0.0002 (0.0028) time: 2.7605 data: 0.0058 max mem: 31630 Epoch: [31] [3770/5278] eta: 1:06:44 lr: 1.2122830487362802e-05 loss: 0.0401 (0.0431) loss_seg: 0.0396 (0.0427) loss_lansim: 0.0376 (0.0318) loss_contra: 0.0002 (0.0028) time: 2.7596 data: 0.0059 max mem: 31630 Epoch: [31] [3780/5278] eta: 1:06:18 lr: 1.2120335535910694e-05 loss: 0.0398 (0.0431) loss_seg: 0.0395 (0.0427) loss_lansim: 0.0376 (0.0318) loss_contra: 0.0002 (0.0028) time: 2.7586 data: 0.0059 max mem: 31630 Epoch: [31] [3790/5278] eta: 1:05:52 lr: 1.2117840527392639e-05 loss: 0.0398 (0.0431) loss_seg: 0.0395 (0.0427) loss_lansim: 0.0373 (0.0318) loss_contra: 0.0002 (0.0028) time: 2.7589 data: 0.0058 max mem: 31630 Epoch: [31] [3800/5278] eta: 1:05:26 lr: 1.2115345461794283e-05 loss: 0.0398 (0.0430) loss_seg: 0.0395 (0.0427) loss_lansim: 0.0366 (0.0318) loss_contra: 0.0002 (0.0028) time: 2.7631 data: 0.0059 max mem: 31630 Epoch: [31] [3810/5278] eta: 1:04:59 lr: 1.2112850339101255e-05 loss: 0.0398 (0.0430) loss_seg: 0.0394 (0.0427) loss_lansim: 0.0368 (0.0318) loss_contra: 0.0002 (0.0028) time: 2.7648 data: 0.0058 max mem: 31630 Epoch: [31] [3820/5278] eta: 1:04:34 lr: 1.211035515929919e-05 loss: 0.0400 (0.0430) loss_seg: 0.0396 (0.0427) loss_lansim: 0.0366 (0.0319) loss_contra: 0.0002 (0.0028) time: 2.7726 data: 0.0059 max mem: 31630 Epoch: [31] [3830/5278] eta: 1:04:08 lr: 1.2107859922373691e-05 loss: 0.0400 (0.0431) loss_seg: 0.0396 (0.0427) loss_lansim: 0.0366 (0.0319) loss_contra: 0.0002 (0.0028) time: 2.7755 data: 0.0059 max mem: 31630 Epoch: [31] [3840/5278] eta: 1:03:41 lr: 1.2105364628310378e-05 loss: 0.0404 (0.0431) loss_seg: 0.0401 (0.0427) loss_lansim: 0.0365 (0.0319) loss_contra: 0.0002 (0.0028) time: 2.7780 data: 0.0059 max mem: 31630 Epoch: [31] [3850/5278] eta: 1:03:15 lr: 1.2102869277094856e-05 loss: 0.0400 (0.0431) loss_seg: 0.0397 (0.0427) loss_lansim: 0.0363 (0.0319) loss_contra: 0.0002 (0.0028) time: 2.7792 data: 0.0059 max mem: 31630 Epoch: [31] [3860/5278] eta: 1:02:49 lr: 1.2100373868712725e-05 loss: 0.0404 (0.0431) loss_seg: 0.0401 (0.0427) loss_lansim: 0.0364 (0.0319) loss_contra: 0.0002 (0.0028) time: 2.7819 data: 0.0059 max mem: 31630 Epoch: [31] [3870/5278] eta: 1:02:23 lr: 1.2097878403149566e-05 loss: 0.0406 (0.0431) loss_seg: 0.0402 (0.0427) loss_lansim: 0.0359 (0.0319) loss_contra: 0.0002 (0.0028) time: 2.7869 data: 0.0059 max mem: 31630 Epoch: [31] [3880/5278] eta: 1:01:57 lr: 1.209538288039097e-05 loss: 0.0404 (0.0430) loss_seg: 0.0401 (0.0427) loss_lansim: 0.0354 (0.0319) loss_contra: 0.0002 (0.0028) time: 2.7910 data: 0.0060 max mem: 31630 Epoch: [31] [3890/5278] eta: 1:01:31 lr: 1.209288730042251e-05 loss: 0.0400 (0.0430) loss_seg: 0.0397 (0.0427) loss_lansim: 0.0351 (0.0319) loss_contra: 0.0002 (0.0028) time: 2.7943 data: 0.0060 max mem: 31630 Epoch: [31] [3900/5278] eta: 1:01:05 lr: 1.209039166322976e-05 loss: 0.0404 (0.0430) loss_seg: 0.0401 (0.0427) loss_lansim: 0.0353 (0.0319) loss_contra: 0.0003 (0.0028) time: 2.8001 data: 0.0060 max mem: 31630 Epoch: [31] [3910/5278] eta: 1:00:39 lr: 1.2087895968798283e-05 loss: 0.0393 (0.0430) loss_seg: 0.0390 (0.0427) loss_lansim: 0.0348 (0.0319) loss_contra: 0.0003 (0.0028) time: 2.8041 data: 0.0061 max mem: 31630 Epoch: [31] [3920/5278] eta: 1:00:13 lr: 1.2085400217113631e-05 loss: 0.0393 (0.0430) loss_seg: 0.0390 (0.0426) loss_lansim: 0.0344 (0.0319) loss_contra: 0.0003 (0.0028) time: 2.7993 data: 0.0061 max mem: 31630 Epoch: [31] [3930/5278] eta: 0:59:47 lr: 1.2082904408161352e-05 loss: 0.0393 (0.0430) loss_seg: 0.0390 (0.0427) loss_lansim: 0.0342 (0.0319) loss_contra: 0.0002 (0.0028) time: 2.8006 data: 0.0061 max mem: 31630 Epoch: [31] [3940/5278] eta: 0:59:21 lr: 1.2080408541926991e-05 loss: 0.0393 (0.0430) loss_seg: 0.0390 (0.0427) loss_lansim: 0.0342 (0.0320) loss_contra: 0.0002 (0.0028) time: 2.8017 data: 0.0061 max mem: 31630 Epoch: [31] [3950/5278] eta: 0:58:54 lr: 1.2077912618396088e-05 loss: 0.0382 (0.0430) loss_seg: 0.0379 (0.0426) loss_lansim: 0.0339 (0.0320) loss_contra: 0.0002 (0.0028) time: 2.8033 data: 0.0063 max mem: 31630 Epoch: [31] [3960/5278] eta: 0:58:28 lr: 1.207541663755416e-05 loss: 0.0368 (0.0430) loss_seg: 0.0365 (0.0426) loss_lansim: 0.0337 (0.0320) loss_contra: 0.0002 (0.0028) time: 2.8053 data: 0.0064 max mem: 31630 Epoch: [31] [3970/5278] eta: 0:58:02 lr: 1.2072920599386735e-05 loss: 0.0368 (0.0430) loss_seg: 0.0365 (0.0426) loss_lansim: 0.0336 (0.0320) loss_contra: 0.0002 (0.0028) time: 2.8098 data: 0.0066 max mem: 31630 Epoch: [31] [3980/5278] eta: 0:57:36 lr: 1.2070424503879324e-05 loss: 0.0389 (0.0430) loss_seg: 0.0386 (0.0427) loss_lansim: 0.0336 (0.0320) loss_contra: 0.0001 (0.0028) time: 2.8146 data: 0.0067 max mem: 31630 Epoch: [31] [3990/5278] eta: 0:57:10 lr: 1.2067928351017441e-05 loss: 0.0391 (0.0430) loss_seg: 0.0387 (0.0427) loss_lansim: 0.0336 (0.0320) loss_contra: 0.0001 (0.0028) time: 2.8173 data: 0.0068 max mem: 31630 Epoch: [31] [4000/5278] eta: 0:56:44 lr: 1.2065432140786575e-05 loss: 0.0392 (0.0431) loss_seg: 0.0389 (0.0427) loss_lansim: 0.0336 (0.0320) loss_contra: 0.0001 (0.0028) time: 2.8167 data: 0.0069 max mem: 31630 Epoch: [31] [4010/5278] eta: 0:56:18 lr: 1.2062935873172227e-05 loss: 0.0398 (0.0431) loss_seg: 0.0395 (0.0427) loss_lansim: 0.0339 (0.0320) loss_contra: 0.0001 (0.0028) time: 2.8176 data: 0.0070 max mem: 31630 Epoch: [31] [4020/5278] eta: 0:55:52 lr: 1.2060439548159878e-05 loss: 0.0401 (0.0431) loss_seg: 0.0398 (0.0427) loss_lansim: 0.0344 (0.0320) loss_contra: 0.0001 (0.0028) time: 2.8205 data: 0.0071 max mem: 31630 Epoch: [31] [4030/5278] eta: 0:55:26 lr: 1.2057943165735018e-05 loss: 0.0397 (0.0430) loss_seg: 0.0394 (0.0427) loss_lansim: 0.0345 (0.0320) loss_contra: 0.0001 (0.0028) time: 2.8275 data: 0.0072 max mem: 31630 Epoch: [31] [4040/5278] eta: 0:55:00 lr: 1.2055446725883104e-05 loss: 0.0397 (0.0430) loss_seg: 0.0394 (0.0427) loss_lansim: 0.0351 (0.0321) loss_contra: 0.0001 (0.0028) time: 2.8324 data: 0.0072 max mem: 31630 Epoch: [31] [4050/5278] eta: 0:54:33 lr: 1.205295022858961e-05 loss: 0.0400 (0.0431) loss_seg: 0.0397 (0.0427) loss_lansim: 0.0352 (0.0321) loss_contra: 0.0001 (0.0027) time: 2.8336 data: 0.0071 max mem: 31630 Epoch: [31] [4060/5278] eta: 0:54:07 lr: 1.2050453673839989e-05 loss: 0.0401 (0.0430) loss_seg: 0.0398 (0.0427) loss_lansim: 0.0355 (0.0321) loss_contra: 0.0001 (0.0027) time: 2.8352 data: 0.0071 max mem: 31630 Epoch: [31] [4070/5278] eta: 0:53:41 lr: 1.2047957061619702e-05 loss: 0.0401 (0.0431) loss_seg: 0.0398 (0.0427) loss_lansim: 0.0350 (0.0321) loss_contra: 0.0001 (0.0028) time: 2.8340 data: 0.0070 max mem: 31630 Epoch: [31] [4080/5278] eta: 0:53:15 lr: 1.204546039191418e-05 loss: 0.0405 (0.0431) loss_seg: 0.0402 (0.0427) loss_lansim: 0.0352 (0.0321) loss_contra: 0.0002 (0.0027) time: 2.8325 data: 0.0069 max mem: 31630 Epoch: [31] [4090/5278] eta: 0:52:49 lr: 1.2042963664708867e-05 loss: 0.0406 (0.0431) loss_seg: 0.0402 (0.0427) loss_lansim: 0.0352 (0.0321) loss_contra: 0.0002 (0.0027) time: 2.8340 data: 0.0070 max mem: 31630 Epoch: [31] [4100/5278] eta: 0:52:23 lr: 1.204046687998919e-05 loss: 0.0409 (0.0431) loss_seg: 0.0405 (0.0427) loss_lansim: 0.0352 (0.0321) loss_contra: 0.0002 (0.0027) time: 2.8360 data: 0.0070 max mem: 31630 Epoch: [31] [4110/5278] eta: 0:51:56 lr: 1.203797003774058e-05 loss: 0.0410 (0.0431) loss_seg: 0.0406 (0.0427) loss_lansim: 0.0352 (0.0321) loss_contra: 0.0002 (0.0027) time: 2.8368 data: 0.0070 max mem: 31630 Epoch: [31] [4120/5278] eta: 0:51:30 lr: 1.203547313794844e-05 loss: 0.0412 (0.0431) loss_seg: 0.0408 (0.0427) loss_lansim: 0.0349 (0.0321) loss_contra: 0.0002 (0.0028) time: 2.8367 data: 0.0069 max mem: 31630 Epoch: [31] [4130/5278] eta: 0:51:04 lr: 1.2032976180598184e-05 loss: 0.0412 (0.0431) loss_seg: 0.0408 (0.0427) loss_lansim: 0.0352 (0.0321) loss_contra: 0.0002 (0.0028) time: 2.8326 data: 0.0068 max mem: 31630 Epoch: [31] [4140/5278] eta: 0:50:38 lr: 1.2030479165675215e-05 loss: 0.0410 (0.0431) loss_seg: 0.0406 (0.0427) loss_lansim: 0.0343 (0.0321) loss_contra: 0.0003 (0.0027) time: 2.8299 data: 0.0069 max mem: 31630 Epoch: [31] [4150/5278] eta: 0:50:11 lr: 1.2027982093164928e-05 loss: 0.0428 (0.0431) loss_seg: 0.0423 (0.0428) loss_lansim: 0.0340 (0.0321) loss_contra: 0.0003 (0.0027) time: 2.8316 data: 0.0069 max mem: 31630 Epoch: [31] [4160/5278] eta: 0:49:45 lr: 1.2025484963052715e-05 loss: 0.0433 (0.0431) loss_seg: 0.0429 (0.0428) loss_lansim: 0.0340 (0.0321) loss_contra: 0.0003 (0.0027) time: 2.8338 data: 0.0068 max mem: 31630 Epoch: [31] [4170/5278] eta: 0:49:19 lr: 1.2022987775323945e-05 loss: 0.0433 (0.0431) loss_seg: 0.0429 (0.0428) loss_lansim: 0.0342 (0.0321) loss_contra: 0.0003 (0.0027) time: 2.8344 data: 0.0067 max mem: 31630 Epoch: [31] [4180/5278] eta: 0:48:53 lr: 1.2020490529963996e-05 loss: 0.0428 (0.0431) loss_seg: 0.0423 (0.0427) loss_lansim: 0.0340 (0.0321) loss_contra: 0.0003 (0.0027) time: 2.8338 data: 0.0066 max mem: 31630 Epoch: [31] [4190/5278] eta: 0:48:26 lr: 1.2017993226958236e-05 loss: 0.0429 (0.0431) loss_seg: 0.0424 (0.0428) loss_lansim: 0.0340 (0.0321) loss_contra: 0.0002 (0.0027) time: 2.8312 data: 0.0065 max mem: 31630 Epoch: [31] [4200/5278] eta: 0:48:00 lr: 1.201549586629203e-05 loss: 0.0418 (0.0431) loss_seg: 0.0415 (0.0427) loss_lansim: 0.0339 (0.0322) loss_contra: 0.0002 (0.0027) time: 2.8290 data: 0.0063 max mem: 31630 Epoch: [31] [4210/5278] eta: 0:47:34 lr: 1.2012998447950717e-05 loss: 0.0412 (0.0431) loss_seg: 0.0409 (0.0427) loss_lansim: 0.0340 (0.0322) loss_contra: 0.0002 (0.0027) time: 2.8286 data: 0.0062 max mem: 31630 Epoch: [31] [4220/5278] eta: 0:47:07 lr: 1.2010500971919649e-05 loss: 0.0397 (0.0431) loss_seg: 0.0393 (0.0428) loss_lansim: 0.0341 (0.0322) loss_contra: 0.0001 (0.0027) time: 2.8310 data: 0.0062 max mem: 31630 Epoch: [31] [4230/5278] eta: 0:46:41 lr: 1.2008003438184163e-05 loss: 0.0394 (0.0431) loss_seg: 0.0390 (0.0427) loss_lansim: 0.0339 (0.0322) loss_contra: 0.0001 (0.0027) time: 2.8337 data: 0.0061 max mem: 31630 Epoch: [31] [4240/5278] eta: 0:46:15 lr: 1.2005505846729593e-05 loss: 0.0397 (0.0431) loss_seg: 0.0393 (0.0428) loss_lansim: 0.0340 (0.0322) loss_contra: 0.0001 (0.0027) time: 2.8326 data: 0.0060 max mem: 31630 Epoch: [31] [4250/5278] eta: 0:45:48 lr: 1.2003008197541257e-05 loss: 0.0391 (0.0431) loss_seg: 0.0387 (0.0428) loss_lansim: 0.0338 (0.0322) loss_contra: 0.0001 (0.0027) time: 2.8323 data: 0.0060 max mem: 31630 Epoch: [31] [4260/5278] eta: 0:45:22 lr: 1.2000510490604473e-05 loss: 0.0391 (0.0431) loss_seg: 0.0387 (0.0428) loss_lansim: 0.0338 (0.0322) loss_contra: 0.0001 (0.0027) time: 2.8301 data: 0.0060 max mem: 31630 Epoch: [31] [4270/5278] eta: 0:44:55 lr: 1.1998012725904551e-05 loss: 0.0394 (0.0431) loss_seg: 0.0390 (0.0428) loss_lansim: 0.0338 (0.0322) loss_contra: 0.0001 (0.0027) time: 2.8261 data: 0.0059 max mem: 31630 Epoch: [31] [4280/5278] eta: 0:44:29 lr: 1.1995514903426799e-05 loss: 0.0401 (0.0431) loss_seg: 0.0398 (0.0428) loss_lansim: 0.0338 (0.0322) loss_contra: 0.0001 (0.0027) time: 2.8214 data: 0.0060 max mem: 31630 Epoch: [31] [4290/5278] eta: 0:44:03 lr: 1.1993017023156502e-05 loss: 0.0390 (0.0432) loss_seg: 0.0387 (0.0428) loss_lansim: 0.0338 (0.0322) loss_contra: 0.0001 (0.0027) time: 2.8233 data: 0.0059 max mem: 31630 Epoch: [31] [4300/5278] eta: 0:43:36 lr: 1.199051908507895e-05 loss: 0.0390 (0.0432) loss_seg: 0.0387 (0.0428) loss_lansim: 0.0336 (0.0322) loss_contra: 0.0001 (0.0027) time: 2.8236 data: 0.0059 max mem: 31630 Epoch: [31] [4310/5278] eta: 0:43:10 lr: 1.1988021089179429e-05 loss: 0.0401 (0.0432) loss_seg: 0.0398 (0.0428) loss_lansim: 0.0336 (0.0322) loss_contra: 0.0001 (0.0027) time: 2.8222 data: 0.0059 max mem: 31630 Epoch: [31] [4320/5278] eta: 0:42:43 lr: 1.1985523035443211e-05 loss: 0.0408 (0.0432) loss_seg: 0.0405 (0.0428) loss_lansim: 0.0336 (0.0322) loss_contra: 0.0001 (0.0027) time: 2.8203 data: 0.0059 max mem: 31630 Epoch: [31] [4330/5278] eta: 0:42:17 lr: 1.198302492385556e-05 loss: 0.0427 (0.0432) loss_seg: 0.0424 (0.0428) loss_lansim: 0.0335 (0.0322) loss_contra: 0.0001 (0.0027) time: 2.8183 data: 0.0059 max mem: 31630 Epoch: [31] [4340/5278] eta: 0:41:50 lr: 1.1980526754401734e-05 loss: 0.0441 (0.0432) loss_seg: 0.0438 (0.0429) loss_lansim: 0.0329 (0.0322) loss_contra: 0.0002 (0.0027) time: 2.8205 data: 0.0059 max mem: 31630 Epoch: [31] [4350/5278] eta: 0:41:24 lr: 1.1978028527066986e-05 loss: 0.0449 (0.0432) loss_seg: 0.0446 (0.0429) loss_lansim: 0.0328 (0.0322) loss_contra: 0.0002 (0.0027) time: 2.8218 data: 0.0060 max mem: 31630 Epoch: [31] [4360/5278] eta: 0:40:58 lr: 1.1975530241836571e-05 loss: 0.0458 (0.0432) loss_seg: 0.0454 (0.0429) loss_lansim: 0.0328 (0.0322) loss_contra: 0.0003 (0.0027) time: 2.8239 data: 0.0060 max mem: 31630 Epoch: [31] [4370/5278] eta: 0:40:31 lr: 1.197303189869571e-05 loss: 0.0455 (0.0433) loss_seg: 0.0452 (0.0429) loss_lansim: 0.0328 (0.0322) loss_contra: 0.0003 (0.0027) time: 2.8274 data: 0.0060 max mem: 31630 Epoch: [31] [4380/5278] eta: 0:40:05 lr: 1.1970533497629643e-05 loss: 0.0458 (0.0433) loss_seg: 0.0454 (0.0429) loss_lansim: 0.0328 (0.0322) loss_contra: 0.0004 (0.0027) time: 2.8324 data: 0.0060 max mem: 31630 Epoch: [31] [4390/5278] eta: 0:39:38 lr: 1.196803503862359e-05 loss: 0.0461 (0.0433) loss_seg: 0.0457 (0.0429) loss_lansim: 0.0328 (0.0322) loss_contra: 0.0004 (0.0027) time: 2.8300 data: 0.0060 max mem: 31630 Epoch: [31] [4400/5278] eta: 0:39:12 lr: 1.196553652166277e-05 loss: 0.0461 (0.0433) loss_seg: 0.0457 (0.0429) loss_lansim: 0.0326 (0.0322) loss_contra: 0.0003 (0.0027) time: 2.8301 data: 0.0061 max mem: 31630 Epoch: [31] [4410/5278] eta: 0:38:45 lr: 1.1963037946732396e-05 loss: 0.0458 (0.0433) loss_seg: 0.0455 (0.0430) loss_lansim: 0.0329 (0.0322) loss_contra: 0.0003 (0.0027) time: 2.8313 data: 0.0061 max mem: 31630 Epoch: [31] [4420/5278] eta: 0:38:19 lr: 1.1960539313817659e-05 loss: 0.0458 (0.0433) loss_seg: 0.0455 (0.0430) loss_lansim: 0.0329 (0.0323) loss_contra: 0.0002 (0.0027) time: 2.8347 data: 0.0061 max mem: 31630 Epoch: [31] [4430/5278] eta: 0:37:52 lr: 1.195804062290376e-05 loss: 0.0455 (0.0433) loss_seg: 0.0451 (0.0430) loss_lansim: 0.0332 (0.0323) loss_contra: 0.0003 (0.0027) time: 2.8379 data: 0.0062 max mem: 31630 Epoch: [31] [4440/5278] eta: 0:37:26 lr: 1.1955541873975883e-05 loss: 0.0451 (0.0433) loss_seg: 0.0448 (0.0430) loss_lansim: 0.0333 (0.0323) loss_contra: 0.0002 (0.0027) time: 2.8365 data: 0.0061 max mem: 31630 Epoch: [31] [4450/5278] eta: 0:36:59 lr: 1.1953043067019219e-05 loss: 0.0451 (0.0433) loss_seg: 0.0448 (0.0430) loss_lansim: 0.0333 (0.0323) loss_contra: 0.0002 (0.0027) time: 2.8355 data: 0.0061 max mem: 31630 Epoch: [31] [4460/5278] eta: 0:36:33 lr: 1.1950544202018925e-05 loss: 0.0454 (0.0434) loss_seg: 0.0451 (0.0430) loss_lansim: 0.0333 (0.0323) loss_contra: 0.0002 (0.0027) time: 2.8338 data: 0.0061 max mem: 31630 Epoch: [31] [4470/5278] eta: 0:36:06 lr: 1.1948045278960174e-05 loss: 0.0454 (0.0434) loss_seg: 0.0451 (0.0430) loss_lansim: 0.0331 (0.0323) loss_contra: 0.0001 (0.0027) time: 2.8335 data: 0.0061 max mem: 31630 Epoch: [31] [4480/5278] eta: 0:35:40 lr: 1.1945546297828125e-05 loss: 0.0451 (0.0434) loss_seg: 0.0448 (0.0430) loss_lansim: 0.0324 (0.0323) loss_contra: 0.0002 (0.0027) time: 2.8361 data: 0.0062 max mem: 31630 Epoch: [31] [4490/5278] eta: 0:35:13 lr: 1.1943047258607933e-05 loss: 0.0451 (0.0433) loss_seg: 0.0448 (0.0430) loss_lansim: 0.0322 (0.0323) loss_contra: 0.0002 (0.0027) time: 2.8404 data: 0.0062 max mem: 31630 Epoch: [31] [4500/5278] eta: 0:34:47 lr: 1.1940548161284731e-05 loss: 0.0440 (0.0434) loss_seg: 0.0436 (0.0430) loss_lansim: 0.0322 (0.0323) loss_contra: 0.0002 (0.0027) time: 2.8423 data: 0.0062 max mem: 31630 Epoch: [31] [4510/5278] eta: 0:34:20 lr: 1.1938049005843662e-05 loss: 0.0440 (0.0434) loss_seg: 0.0436 (0.0430) loss_lansim: 0.0320 (0.0323) loss_contra: 0.0002 (0.0027) time: 2.8434 data: 0.0063 max mem: 31630 Epoch: [31] [4520/5278] eta: 0:33:53 lr: 1.1935549792269857e-05 loss: 0.0424 (0.0433) loss_seg: 0.0420 (0.0430) loss_lansim: 0.0315 (0.0323) loss_contra: 0.0002 (0.0027) time: 2.8397 data: 0.0063 max mem: 31630 Epoch: [31] [4530/5278] eta: 0:33:27 lr: 1.193305052054844e-05 loss: 0.0431 (0.0434) loss_seg: 0.0425 (0.0430) loss_lansim: 0.0313 (0.0323) loss_contra: 0.0002 (0.0027) time: 2.8369 data: 0.0063 max mem: 31630 Epoch: [31] [4540/5278] eta: 0:33:00 lr: 1.1930551190664518e-05 loss: 0.0426 (0.0434) loss_seg: 0.0423 (0.0430) loss_lansim: 0.0311 (0.0323) loss_contra: 0.0002 (0.0027) time: 2.8372 data: 0.0063 max mem: 31630 Epoch: [31] [4550/5278] eta: 0:32:34 lr: 1.1928051802603202e-05 loss: 0.0431 (0.0434) loss_seg: 0.0425 (0.0430) loss_lansim: 0.0315 (0.0323) loss_contra: 0.0002 (0.0027) time: 2.8424 data: 0.0063 max mem: 31630 Epoch: [31] [4560/5278] eta: 0:32:07 lr: 1.1925552356349592e-05 loss: 0.0417 (0.0434) loss_seg: 0.0413 (0.0430) loss_lansim: 0.0313 (0.0323) loss_contra: 0.0002 (0.0027) time: 2.8441 data: 0.0062 max mem: 31630 Epoch: [31] [4570/5278] eta: 0:31:41 lr: 1.192305285188879e-05 loss: 0.0421 (0.0434) loss_seg: 0.0417 (0.0430) loss_lansim: 0.0313 (0.0323) loss_contra: 0.0002 (0.0027) time: 2.8437 data: 0.0062 max mem: 31630 Epoch: [31] [4580/5278] eta: 0:31:14 lr: 1.1920553289205866e-05 loss: 0.0419 (0.0434) loss_seg: 0.0415 (0.0430) loss_lansim: 0.0314 (0.0323) loss_contra: 0.0002 (0.0027) time: 2.8419 data: 0.0062 max mem: 31630 Epoch: [31] [4590/5278] eta: 0:30:47 lr: 1.1918053668285905e-05 loss: 0.0421 (0.0434) loss_seg: 0.0417 (0.0430) loss_lansim: 0.0315 (0.0323) loss_contra: 0.0003 (0.0027) time: 2.8410 data: 0.0061 max mem: 31630 Epoch: [31] [4600/5278] eta: 0:30:21 lr: 1.191555398911398e-05 loss: 0.0421 (0.0434) loss_seg: 0.0417 (0.0430) loss_lansim: 0.0313 (0.0323) loss_contra: 0.0003 (0.0027) time: 2.8435 data: 0.0062 max mem: 31630 Epoch: [31] [4610/5278] eta: 0:29:54 lr: 1.1913054251675161e-05 loss: 0.0421 (0.0434) loss_seg: 0.0417 (0.0430) loss_lansim: 0.0315 (0.0323) loss_contra: 0.0003 (0.0027) time: 2.8482 data: 0.0061 max mem: 31630 Epoch: [31] [4620/5278] eta: 0:29:28 lr: 1.1910554455954491e-05 loss: 0.0445 (0.0434) loss_seg: 0.0442 (0.0431) loss_lansim: 0.0316 (0.0323) loss_contra: 0.0003 (0.0027) time: 2.8546 data: 0.0061 max mem: 31630 Epoch: [31] [4630/5278] eta: 0:29:01 lr: 1.1908054601937025e-05 loss: 0.0428 (0.0434) loss_seg: 0.0425 (0.0430) loss_lansim: 0.0324 (0.0323) loss_contra: 0.0003 (0.0027) time: 2.8604 data: 0.0060 max mem: 31630 Epoch: [31] [4640/5278] eta: 0:28:34 lr: 1.1905554689607804e-05 loss: 0.0423 (0.0434) loss_seg: 0.0419 (0.0430) loss_lansim: 0.0323 (0.0323) loss_contra: 0.0003 (0.0027) time: 2.8659 data: 0.0061 max mem: 31630 Epoch: [31] [4650/5278] eta: 0:28:08 lr: 1.1903054718951864e-05 loss: 0.0424 (0.0434) loss_seg: 0.0420 (0.0431) loss_lansim: 0.0315 (0.0323) loss_contra: 0.0004 (0.0026) time: 2.8658 data: 0.0060 max mem: 31630 Epoch: [31] [4660/5278] eta: 0:27:41 lr: 1.190055468995424e-05 loss: 0.0432 (0.0434) loss_seg: 0.0428 (0.0431) loss_lansim: 0.0319 (0.0323) loss_contra: 0.0003 (0.0026) time: 2.8705 data: 0.0061 max mem: 31630 Epoch: [31] [4670/5278] eta: 0:27:14 lr: 1.1898054602599935e-05 loss: 0.0424 (0.0435) loss_seg: 0.0420 (0.0431) loss_lansim: 0.0324 (0.0323) loss_contra: 0.0003 (0.0026) time: 2.8765 data: 0.0061 max mem: 31630 Epoch: [31] [4680/5278] eta: 0:26:48 lr: 1.189555445687397e-05 loss: 0.0432 (0.0435) loss_seg: 0.0428 (0.0431) loss_lansim: 0.0327 (0.0323) loss_contra: 0.0002 (0.0026) time: 2.8850 data: 0.0060 max mem: 31630 Epoch: [31] [4690/5278] eta: 0:26:21 lr: 1.1893054252761352e-05 loss: 0.0428 (0.0435) loss_seg: 0.0425 (0.0431) loss_lansim: 0.0328 (0.0323) loss_contra: 0.0002 (0.0026) time: 2.8872 data: 0.0060 max mem: 31630 Epoch: [31] [4700/5278] eta: 0:25:55 lr: 1.1890553990247083e-05 loss: 0.0428 (0.0435) loss_seg: 0.0425 (0.0432) loss_lansim: 0.0331 (0.0323) loss_contra: 0.0002 (0.0026) time: 2.8855 data: 0.0059 max mem: 31630 Epoch: [31] [4710/5278] eta: 0:25:28 lr: 1.188805366931614e-05 loss: 0.0424 (0.0435) loss_seg: 0.0419 (0.0432) loss_lansim: 0.0331 (0.0323) loss_contra: 0.0001 (0.0026) time: 2.8827 data: 0.0059 max mem: 31630 Epoch: [31] [4720/5278] eta: 0:25:01 lr: 1.1885553289953515e-05 loss: 0.0417 (0.0435) loss_seg: 0.0413 (0.0432) loss_lansim: 0.0330 (0.0323) loss_contra: 0.0001 (0.0026) time: 2.8796 data: 0.0059 max mem: 31630 Epoch: [31] [4730/5278] eta: 0:24:34 lr: 1.1883052852144181e-05 loss: 0.0417 (0.0435) loss_seg: 0.0414 (0.0432) loss_lansim: 0.0328 (0.0323) loss_contra: 0.0001 (0.0026) time: 2.8766 data: 0.0059 max mem: 31630 Epoch: [31] [4740/5278] eta: 0:24:08 lr: 1.1880552355873115e-05 loss: 0.0417 (0.0435) loss_seg: 0.0414 (0.0432) loss_lansim: 0.0334 (0.0323) loss_contra: 0.0002 (0.0026) time: 2.8764 data: 0.0058 max mem: 31630 Epoch: [31] [4750/5278] eta: 0:23:41 lr: 1.1878051801125262e-05 loss: 0.0417 (0.0435) loss_seg: 0.0413 (0.0432) loss_lansim: 0.0342 (0.0323) loss_contra: 0.0002 (0.0026) time: 2.8764 data: 0.0059 max mem: 31630 Epoch: [31] [4760/5278] eta: 0:23:14 lr: 1.1875551187885585e-05 loss: 0.0399 (0.0435) loss_seg: 0.0394 (0.0432) loss_lansim: 0.0342 (0.0323) loss_contra: 0.0002 (0.0026) time: 2.8734 data: 0.0059 max mem: 31630 Epoch: [31] [4770/5278] eta: 0:22:48 lr: 1.187305051613903e-05 loss: 0.0397 (0.0435) loss_seg: 0.0392 (0.0432) loss_lansim: 0.0346 (0.0324) loss_contra: 0.0003 (0.0026) time: 2.8719 data: 0.0059 max mem: 31630 Epoch: [31] [4780/5278] eta: 0:22:21 lr: 1.1870549785870538e-05 loss: 0.0396 (0.0435) loss_seg: 0.0392 (0.0431) loss_lansim: 0.0346 (0.0324) loss_contra: 0.0003 (0.0026) time: 2.8681 data: 0.0060 max mem: 31630 Epoch: [31] [4790/5278] eta: 0:21:54 lr: 1.1868048997065034e-05 loss: 0.0394 (0.0435) loss_seg: 0.0389 (0.0431) loss_lansim: 0.0346 (0.0324) loss_contra: 0.0003 (0.0026) time: 2.8662 data: 0.0060 max mem: 31630 Epoch: [31] [4800/5278] eta: 0:21:27 lr: 1.1865548149707444e-05 loss: 0.0393 (0.0435) loss_seg: 0.0388 (0.0431) loss_lansim: 0.0347 (0.0324) loss_contra: 0.0003 (0.0026) time: 2.8669 data: 0.0060 max mem: 31630 Epoch: [31] [4810/5278] eta: 0:21:00 lr: 1.1863047243782684e-05 loss: 0.0393 (0.0435) loss_seg: 0.0388 (0.0431) loss_lansim: 0.0350 (0.0324) loss_contra: 0.0003 (0.0026) time: 2.8678 data: 0.0061 max mem: 31630 Epoch: [31] [4820/5278] eta: 0:20:34 lr: 1.1860546279275672e-05 loss: 0.0393 (0.0435) loss_seg: 0.0388 (0.0431) loss_lansim: 0.0354 (0.0324) loss_contra: 0.0003 (0.0026) time: 2.8672 data: 0.0061 max mem: 31630 Epoch: [31] [4830/5278] eta: 0:20:07 lr: 1.1858045256171295e-05 loss: 0.0395 (0.0435) loss_seg: 0.0391 (0.0431) loss_lansim: 0.0351 (0.0324) loss_contra: 0.0003 (0.0026) time: 2.8659 data: 0.0062 max mem: 31630 Epoch: [31] [4840/5278] eta: 0:19:40 lr: 1.1855544174454456e-05 loss: 0.0394 (0.0435) loss_seg: 0.0389 (0.0431) loss_lansim: 0.0353 (0.0324) loss_contra: 0.0003 (0.0026) time: 2.8625 data: 0.0062 max mem: 31630 Epoch: [31] [4850/5278] eta: 0:19:13 lr: 1.1853043034110038e-05 loss: 0.0393 (0.0435) loss_seg: 0.0388 (0.0431) loss_lansim: 0.0350 (0.0324) loss_contra: 0.0002 (0.0026) time: 2.8584 data: 0.0062 max mem: 31630 Epoch: [31] [4860/5278] eta: 0:18:46 lr: 1.1850541835122925e-05 loss: 0.0388 (0.0435) loss_seg: 0.0384 (0.0431) loss_lansim: 0.0349 (0.0324) loss_contra: 0.0002 (0.0026) time: 2.8564 data: 0.0062 max mem: 31630 Epoch: [31] [4870/5278] eta: 0:18:20 lr: 1.1848040577477992e-05 loss: 0.0394 (0.0435) loss_seg: 0.0389 (0.0431) loss_lansim: 0.0343 (0.0324) loss_contra: 0.0002 (0.0026) time: 2.8596 data: 0.0062 max mem: 31630 Epoch: [31] [4880/5278] eta: 0:17:53 lr: 1.1845539261160089e-05 loss: 0.0395 (0.0435) loss_seg: 0.0391 (0.0432) loss_lansim: 0.0348 (0.0324) loss_contra: 0.0002 (0.0026) time: 2.8600 data: 0.0063 max mem: 31630 Epoch: [31] [4890/5278] eta: 0:17:26 lr: 1.1843037886154085e-05 loss: 0.0402 (0.0435) loss_seg: 0.0397 (0.0431) loss_lansim: 0.0345 (0.0324) loss_contra: 0.0002 (0.0026) time: 2.8624 data: 0.0063 max mem: 31630 Epoch: [31] [4900/5278] eta: 0:16:59 lr: 1.1840536452444825e-05 loss: 0.0402 (0.0435) loss_seg: 0.0397 (0.0431) loss_lansim: 0.0348 (0.0324) loss_contra: 0.0002 (0.0026) time: 2.8644 data: 0.0064 max mem: 31630 Epoch: [31] [4910/5278] eta: 0:16:32 lr: 1.183803496001716e-05 loss: 0.0405 (0.0435) loss_seg: 0.0401 (0.0431) loss_lansim: 0.0345 (0.0324) loss_contra: 0.0001 (0.0026) time: 2.8665 data: 0.0065 max mem: 31630 Epoch: [31] [4920/5278] eta: 0:16:05 lr: 1.183553340885591e-05 loss: 0.0411 (0.0435) loss_seg: 0.0408 (0.0431) loss_lansim: 0.0341 (0.0324) loss_contra: 0.0002 (0.0026) time: 2.8656 data: 0.0065 max mem: 31630 Epoch: [31] [4930/5278] eta: 0:15:39 lr: 1.1833031798945908e-05 loss: 0.0405 (0.0435) loss_seg: 0.0401 (0.0431) loss_lansim: 0.0341 (0.0324) loss_contra: 0.0001 (0.0026) time: 2.8650 data: 0.0066 max mem: 31630 Epoch: [31] [4940/5278] eta: 0:15:12 lr: 1.1830530130271977e-05 loss: 0.0408 (0.0435) loss_seg: 0.0403 (0.0431) loss_lansim: 0.0345 (0.0325) loss_contra: 0.0002 (0.0026) time: 2.8654 data: 0.0065 max mem: 31630 Epoch: [31] [4950/5278] eta: 0:14:45 lr: 1.182802840281893e-05 loss: 0.0411 (0.0435) loss_seg: 0.0408 (0.0432) loss_lansim: 0.0351 (0.0325) loss_contra: 0.0002 (0.0026) time: 2.8646 data: 0.0065 max mem: 31630 Epoch: [31] [4960/5278] eta: 0:14:18 lr: 1.1825526616571566e-05 loss: 0.0411 (0.0435) loss_seg: 0.0408 (0.0431) loss_lansim: 0.0350 (0.0325) loss_contra: 0.0001 (0.0026) time: 2.8624 data: 0.0065 max mem: 31630 Epoch: [31] [4970/5278] eta: 0:13:51 lr: 1.1823024771514682e-05 loss: 0.0406 (0.0435) loss_seg: 0.0402 (0.0431) loss_lansim: 0.0350 (0.0325) loss_contra: 0.0001 (0.0026) time: 2.8548 data: 0.0064 max mem: 31630 Epoch: [31] [4980/5278] eta: 0:13:24 lr: 1.1820522867633071e-05 loss: 0.0406 (0.0435) loss_seg: 0.0402 (0.0431) loss_lansim: 0.0347 (0.0325) loss_contra: 0.0001 (0.0026) time: 2.8532 data: 0.0064 max mem: 31630 Epoch: [31] [4990/5278] eta: 0:12:57 lr: 1.181802090491152e-05 loss: 0.0394 (0.0435) loss_seg: 0.0390 (0.0431) loss_lansim: 0.0345 (0.0325) loss_contra: 0.0001 (0.0026) time: 2.8527 data: 0.0064 max mem: 31630 Epoch: [31] [5000/5278] eta: 0:12:30 lr: 1.1815518883334794e-05 loss: 0.0394 (0.0435) loss_seg: 0.0390 (0.0431) loss_lansim: 0.0343 (0.0325) loss_contra: 0.0002 (0.0026) time: 2.8551 data: 0.0063 max mem: 31630 Epoch: [31] [5010/5278] eta: 0:12:03 lr: 1.1813016802887663e-05 loss: 0.0390 (0.0435) loss_seg: 0.0386 (0.0431) loss_lansim: 0.0343 (0.0325) loss_contra: 0.0002 (0.0026) time: 2.8524 data: 0.0062 max mem: 31630 Epoch: [31] [5020/5278] eta: 0:11:36 lr: 1.1810514663554886e-05 loss: 0.0390 (0.0435) loss_seg: 0.0386 (0.0432) loss_lansim: 0.0343 (0.0325) loss_contra: 0.0001 (0.0026) time: 2.8560 data: 0.0062 max mem: 31630 Epoch: [31] [5030/5278] eta: 0:11:10 lr: 1.1808012465321225e-05 loss: 0.0395 (0.0435) loss_seg: 0.0392 (0.0432) loss_lansim: 0.0343 (0.0325) loss_contra: 0.0002 (0.0026) time: 2.8592 data: 0.0061 max mem: 31630 Epoch: [31] [5040/5278] eta: 0:10:43 lr: 1.180551020817141e-05 loss: 0.0395 (0.0435) loss_seg: 0.0392 (0.0432) loss_lansim: 0.0337 (0.0325) loss_contra: 0.0002 (0.0026) time: 2.8628 data: 0.0062 max mem: 31630 Epoch: [31] [5050/5278] eta: 0:10:16 lr: 1.1803007892090183e-05 loss: 0.0381 (0.0435) loss_seg: 0.0377 (0.0431) loss_lansim: 0.0339 (0.0325) loss_contra: 0.0002 (0.0026) time: 2.8677 data: 0.0063 max mem: 31630 Epoch: [31] [5060/5278] eta: 0:09:49 lr: 1.1800505517062274e-05 loss: 0.0390 (0.0435) loss_seg: 0.0386 (0.0431) loss_lansim: 0.0343 (0.0325) loss_contra: 0.0002 (0.0026) time: 2.8752 data: 0.0063 max mem: 31630 Epoch: [31] [5070/5278] eta: 0:09:22 lr: 1.1798003083072412e-05 loss: 0.0400 (0.0435) loss_seg: 0.0396 (0.0431) loss_lansim: 0.0344 (0.0325) loss_contra: 0.0002 (0.0026) time: 2.8821 data: 0.0064 max mem: 31630 Epoch: [31] [5080/5278] eta: 0:08:55 lr: 1.1795500590105299e-05 loss: 0.0395 (0.0435) loss_seg: 0.0392 (0.0432) loss_lansim: 0.0346 (0.0325) loss_contra: 0.0001 (0.0026) time: 2.8842 data: 0.0064 max mem: 31630 Epoch: [31] [5090/5278] eta: 0:08:28 lr: 1.1792998038145648e-05 loss: 0.0394 (0.0435) loss_seg: 0.0390 (0.0431) loss_lansim: 0.0352 (0.0325) loss_contra: 0.0001 (0.0026) time: 2.8882 data: 0.0063 max mem: 31630 Epoch: [31] [5100/5278] eta: 0:08:01 lr: 1.1790495427178156e-05 loss: 0.0394 (0.0435) loss_seg: 0.0390 (0.0431) loss_lansim: 0.0351 (0.0325) loss_contra: 0.0001 (0.0026) time: 2.8872 data: 0.0063 max mem: 31630 Epoch: [31] [5110/5278] eta: 0:07:34 lr: 1.1787992757187515e-05 loss: 0.0398 (0.0435) loss_seg: 0.0393 (0.0431) loss_lansim: 0.0353 (0.0326) loss_contra: 0.0001 (0.0026) time: 2.8910 data: 0.0063 max mem: 31630 Epoch: [31] [5120/5278] eta: 0:07:07 lr: 1.1785490028158416e-05 loss: 0.0394 (0.0435) loss_seg: 0.0390 (0.0431) loss_lansim: 0.0353 (0.0326) loss_contra: 0.0002 (0.0026) time: 2.8935 data: 0.0062 max mem: 31630 Epoch: [31] [5130/5278] eta: 0:06:40 lr: 1.1782987240075526e-05 loss: 0.0390 (0.0435) loss_seg: 0.0386 (0.0431) loss_lansim: 0.0357 (0.0326) loss_contra: 0.0002 (0.0026) time: 2.8967 data: 0.0061 max mem: 31630 Epoch: [31] [5140/5278] eta: 0:06:13 lr: 1.1780484392923515e-05 loss: 0.0394 (0.0435) loss_seg: 0.0390 (0.0431) loss_lansim: 0.0357 (0.0326) loss_contra: 0.0001 (0.0026) time: 2.9002 data: 0.0061 max mem: 31630 Epoch: [31] [5150/5278] eta: 0:05:46 lr: 1.1777981486687045e-05 loss: 0.0398 (0.0435) loss_seg: 0.0393 (0.0431) loss_lansim: 0.0358 (0.0326) loss_contra: 0.0002 (0.0026) time: 2.9036 data: 0.0060 max mem: 31630 Epoch: [31] [5160/5278] eta: 0:05:19 lr: 1.1775478521350779e-05 loss: 0.0401 (0.0435) loss_seg: 0.0398 (0.0432) loss_lansim: 0.0356 (0.0326) loss_contra: 0.0002 (0.0026) time: 2.9040 data: 0.0060 max mem: 31630 Epoch: [31] [5170/5278] eta: 0:04:52 lr: 1.1772975496899346e-05 loss: 0.0390 (0.0435) loss_seg: 0.0386 (0.0432) loss_lansim: 0.0353 (0.0326) loss_contra: 0.0002 (0.0026) time: 2.9007 data: 0.0060 max mem: 31630 Epoch: [31] [5180/5278] eta: 0:04:25 lr: 1.1770472413317396e-05 loss: 0.0391 (0.0435) loss_seg: 0.0387 (0.0431) loss_lansim: 0.0349 (0.0326) loss_contra: 0.0003 (0.0026) time: 2.8962 data: 0.0060 max mem: 31630 Epoch: [31] [5190/5278] eta: 0:03:58 lr: 1.1767969270589554e-05 loss: 0.0394 (0.0435) loss_seg: 0.0391 (0.0431) loss_lansim: 0.0344 (0.0326) loss_contra: 0.0003 (0.0026) time: 2.8890 data: 0.0060 max mem: 31630 Epoch: [31] [5200/5278] eta: 0:03:31 lr: 1.1765466068700453e-05 loss: 0.0391 (0.0435) loss_seg: 0.0387 (0.0431) loss_lansim: 0.0349 (0.0326) loss_contra: 0.0003 (0.0026) time: 2.8830 data: 0.0060 max mem: 31630 Epoch: [31] [5210/5278] eta: 0:03:04 lr: 1.1762962807634695e-05 loss: 0.0394 (0.0435) loss_seg: 0.0391 (0.0431) loss_lansim: 0.0349 (0.0326) loss_contra: 0.0003 (0.0026) time: 2.8773 data: 0.0060 max mem: 31630 Epoch: [31] [5220/5278] eta: 0:02:37 lr: 1.1760459487376896e-05 loss: 0.0405 (0.0435) loss_seg: 0.0397 (0.0431) loss_lansim: 0.0351 (0.0326) loss_contra: 0.0003 (0.0026) time: 2.8712 data: 0.0060 max mem: 31630 Epoch: [31] [5230/5278] eta: 0:02:10 lr: 1.1757956107911653e-05 loss: 0.0396 (0.0435) loss_seg: 0.0392 (0.0431) loss_lansim: 0.0349 (0.0326) loss_contra: 0.0003 (0.0026) time: 2.8637 data: 0.0060 max mem: 31630 Epoch: [31] [5240/5278] eta: 0:01:42 lr: 1.1755452669223566e-05 loss: 0.0394 (0.0435) loss_seg: 0.0390 (0.0431) loss_lansim: 0.0346 (0.0326) loss_contra: 0.0003 (0.0026) time: 2.8555 data: 0.0060 max mem: 31630 Epoch: [31] [5250/5278] eta: 0:01:15 lr: 1.1752949171297207e-05 loss: 0.0391 (0.0435) loss_seg: 0.0388 (0.0431) loss_lansim: 0.0345 (0.0326) loss_contra: 0.0003 (0.0026) time: 2.8453 data: 0.0060 max mem: 31630 Epoch: [31] [5260/5278] eta: 0:00:48 lr: 1.175044561411716e-05 loss: 0.0387 (0.0435) loss_seg: 0.0383 (0.0431) loss_lansim: 0.0341 (0.0326) loss_contra: 0.0002 (0.0026) time: 2.8349 data: 0.0060 max mem: 31630 Epoch: [31] [5270/5278] eta: 0:00:21 lr: 1.1747941997667996e-05 loss: 0.0403 (0.0435) loss_seg: 0.0397 (0.0432) loss_lansim: 0.0346 (0.0326) loss_contra: 0.0002 (0.0026) time: 2.8279 data: 0.0059 max mem: 31630 Epoch: [31] Total time: 3:58:21 Test: [ 0/2573] eta: 1:14:17 time: 1.7325 data: 1.5662 max mem: 31630 Test: [ 100/2573] eta: 0:06:23 time: 0.1391 data: 0.0014 max mem: 31630 Test: [ 200/2573] eta: 0:05:54 time: 0.1441 data: 0.0016 max mem: 31630 Test: [ 300/2573] eta: 0:05:32 time: 0.1394 data: 0.0016 max mem: 31630 Test: [ 400/2573] eta: 0:05:15 time: 0.1429 data: 0.0016 max mem: 31630 Test: [ 500/2573] eta: 0:05:00 time: 0.1435 data: 0.0016 max mem: 31630 Test: [ 600/2573] eta: 0:04:45 time: 0.1445 data: 0.0016 max mem: 31630 Test: [ 700/2573] eta: 0:04:32 time: 0.1483 data: 0.0016 max mem: 31630 Test: [ 800/2573] eta: 0:04:17 time: 0.1452 data: 0.0016 max mem: 31630 Test: [ 900/2573] eta: 0:04:03 time: 0.1454 data: 0.0016 max mem: 31630 Test: [1000/2573] eta: 0:03:48 time: 0.1450 data: 0.0016 max mem: 31630 Test: [1100/2573] eta: 0:03:33 time: 0.1434 data: 0.0016 max mem: 31630 Test: [1200/2573] eta: 0:03:19 time: 0.1457 data: 0.0016 max mem: 31630 Test: [1300/2573] eta: 0:03:04 time: 0.1451 data: 0.0016 max mem: 31630 Test: [1400/2573] eta: 0:02:50 time: 0.1418 data: 0.0017 max mem: 31630 Test: [1500/2573] eta: 0:02:35 time: 0.1467 data: 0.0016 max mem: 31630 Test: [1600/2573] eta: 0:02:21 time: 0.1453 data: 0.0017 max mem: 31630 Test: [1700/2573] eta: 0:02:06 time: 0.1463 data: 0.0017 max mem: 31630 Test: [1800/2573] eta: 0:01:52 time: 0.1433 data: 0.0017 max mem: 31630 Test: [1900/2573] eta: 0:01:37 time: 0.1419 data: 0.0016 max mem: 31630 Test: [2000/2573] eta: 0:01:22 time: 0.1421 data: 0.0017 max mem: 31630 Test: [2100/2573] eta: 0:01:08 time: 0.1473 data: 0.0017 max mem: 31630 Test: [2200/2573] eta: 0:00:53 time: 0.1423 data: 0.0017 max mem: 31630 Test: [2300/2573] eta: 0:00:39 time: 0.1467 data: 0.0016 max mem: 31630 Test: [2400/2573] eta: 0:00:25 time: 0.1432 data: 0.0016 max mem: 31630 Test: [2500/2573] eta: 0:00:10 time: 0.1456 data: 0.0016 max mem: 31630 Test: Total time: 0:06:12 Final results: precision@0.5 = 69.51 precision@0.6 = 65.01 precision@0.7 = 58.84 precision@0.8 = 47.55 precision@0.9 = 23.10 overall IoU = 58.27 mean IoU = 61.54 Epoch: [32] [ 0/5278] eta: 6:59:28 lr: 1.1745939061824527e-05 loss: 0.0476 (0.0476) loss_seg: 0.0473 (0.0473) loss_lansim: 0.0347 (0.0347) loss_contra: 0.0016 (0.0016) time: 4.7685 data: 1.6511 max mem: 31630 Epoch: [32] [ 10/5278] eta: 4:27:34 lr: 1.1743435338652038e-05 loss: 0.0414 (0.0403) loss_seg: 0.0409 (0.0399) loss_lansim: 0.0341 (0.0352) loss_contra: 0.0002 (0.0029) time: 3.0476 data: 0.1558 max mem: 31630 Epoch: [32] [ 20/5278] eta: 4:20:00 lr: 1.1740931556167191e-05 loss: 0.0418 (0.0419) loss_seg: 0.0414 (0.0416) loss_lansim: 0.0357 (0.0359) loss_contra: 0.0002 (0.0018) time: 2.9669 data: 0.0846 max mem: 31630 Epoch: [32] [ 30/5278] eta: 4:17:25 lr: 1.1738427714354514e-05 loss: 0.0418 (0.0419) loss_seg: 0.0414 (0.0415) loss_lansim: 0.0347 (0.0353) loss_contra: 0.0002 (0.0014) time: 2.9431 data: 0.0595 max mem: 31630 Epoch: [32] [ 40/5278] eta: 4:15:53 lr: 1.1735923813198545e-05 loss: 0.0408 (0.0403) loss_seg: 0.0405 (0.0399) loss_lansim: 0.0345 (0.0349) loss_contra: 0.0001 (0.0011) time: 2.9311 data: 0.0466 max mem: 31630 Epoch: [32] [ 50/5278] eta: 4:14:11 lr: 1.173341985268381e-05 loss: 0.0405 (0.0406) loss_seg: 0.0401 (0.0403) loss_lansim: 0.0335 (0.0341) loss_contra: 0.0001 (0.0011) time: 2.9173 data: 0.0388 max mem: 31630 Epoch: [32] [ 60/5278] eta: 4:13:06 lr: 1.1730915832794829e-05 loss: 0.0405 (0.0416) loss_seg: 0.0401 (0.0413) loss_lansim: 0.0338 (0.0342) loss_contra: 0.0001 (0.0012) time: 2.9105 data: 0.0336 max mem: 31630 Epoch: [32] [ 70/5278] eta: 4:11:59 lr: 1.1728411753516105e-05 loss: 0.0405 (0.0417) loss_seg: 0.0401 (0.0414) loss_lansim: 0.0345 (0.0346) loss_contra: 0.0001 (0.0013) time: 2.9031 data: 0.0297 max mem: 31630 Epoch: [32] [ 80/5278] eta: 4:10:55 lr: 1.1725907614832141e-05 loss: 0.0401 (0.0413) loss_seg: 0.0398 (0.0409) loss_lansim: 0.0345 (0.0348) loss_contra: 0.0001 (0.0012) time: 2.8964 data: 0.0269 max mem: 31630 Epoch: [32] [ 90/5278] eta: 4:10:13 lr: 1.1723403416727432e-05 loss: 0.0399 (0.0411) loss_seg: 0.0395 (0.0408) loss_lansim: 0.0341 (0.0345) loss_contra: 0.0001 (0.0013) time: 2.8939 data: 0.0246 max mem: 31630 Epoch: [32] [ 100/5278] eta: 4:09:37 lr: 1.1720899159186473e-05 loss: 0.0399 (0.0414) loss_seg: 0.0395 (0.0411) loss_lansim: 0.0341 (0.0346) loss_contra: 0.0001 (0.0013) time: 2.8737 data: 0.0065 max mem: 31630 Epoch: [32] [ 110/5278] eta: 4:08:59 lr: 1.1718394842193727e-05 loss: 0.0399 (0.0416) loss_seg: 0.0395 (0.0413) loss_lansim: 0.0342 (0.0346) loss_contra: 0.0001 (0.0012) time: 2.8736 data: 0.0066 max mem: 31630 Epoch: [32] [ 120/5278] eta: 4:08:16 lr: 1.1715890465733675e-05 loss: 0.0389 (0.0415) loss_seg: 0.0386 (0.0412) loss_lansim: 0.0342 (0.0350) loss_contra: 0.0001 (0.0011) time: 2.8715 data: 0.0066 max mem: 31630 Epoch: [32] [ 130/5278] eta: 4:07:23 lr: 1.1713386029790778e-05 loss: 0.0382 (0.0415) loss_seg: 0.0378 (0.0412) loss_lansim: 0.0345 (0.0350) loss_contra: 0.0001 (0.0011) time: 2.8649 data: 0.0065 max mem: 31630 Epoch: [32] [ 140/5278] eta: 4:06:38 lr: 1.1710881534349491e-05 loss: 0.0389 (0.0412) loss_seg: 0.0386 (0.0409) loss_lansim: 0.0346 (0.0351) loss_contra: 0.0001 (0.0011) time: 2.8592 data: 0.0064 max mem: 31630 Epoch: [32] [ 150/5278] eta: 4:05:52 lr: 1.1708376979394267e-05 loss: 0.0382 (0.0411) loss_seg: 0.0378 (0.0407) loss_lansim: 0.0350 (0.0352) loss_contra: 0.0001 (0.0011) time: 2.8562 data: 0.0063 max mem: 31630 Epoch: [32] [ 160/5278] eta: 4:05:14 lr: 1.1705872364909535e-05 loss: 0.0382 (0.0411) loss_seg: 0.0378 (0.0408) loss_lansim: 0.0348 (0.0351) loss_contra: 0.0001 (0.0010) time: 2.8534 data: 0.0063 max mem: 31630 Epoch: [32] [ 170/5278] eta: 4:04:47 lr: 1.1703367690879733e-05 loss: 0.0376 (0.0409) loss_seg: 0.0372 (0.0406) loss_lansim: 0.0347 (0.0352) loss_contra: 0.0001 (0.0011) time: 2.8559 data: 0.0063 max mem: 31630 Epoch: [32] [ 180/5278] eta: 4:04:24 lr: 1.1700862957289286e-05 loss: 0.0382 (0.0412) loss_seg: 0.0378 (0.0408) loss_lansim: 0.0347 (0.0353) loss_contra: 0.0001 (0.0010) time: 2.8604 data: 0.0062 max mem: 31630 Epoch: [32] [ 190/5278] eta: 4:03:50 lr: 1.1698358164122615e-05 loss: 0.0389 (0.0413) loss_seg: 0.0386 (0.0409) loss_lansim: 0.0349 (0.0354) loss_contra: 0.0001 (0.0011) time: 2.8587 data: 0.0061 max mem: 31630 Epoch: [32] [ 200/5278] eta: 4:03:17 lr: 1.1695853311364118e-05 loss: 0.0381 (0.0416) loss_seg: 0.0378 (0.0412) loss_lansim: 0.0349 (0.0353) loss_contra: 0.0001 (0.0010) time: 2.8568 data: 0.0061 max mem: 31630 Epoch: [32] [ 210/5278] eta: 4:02:44 lr: 1.16933483989982e-05 loss: 0.0382 (0.0417) loss_seg: 0.0378 (0.0413) loss_lansim: 0.0350 (0.0355) loss_contra: 0.0001 (0.0010) time: 2.8549 data: 0.0061 max mem: 31630 Epoch: [32] [ 220/5278] eta: 4:02:06 lr: 1.1690843427009259e-05 loss: 0.0382 (0.0420) loss_seg: 0.0379 (0.0416) loss_lansim: 0.0349 (0.0356) loss_contra: 0.0002 (0.0010) time: 2.8525 data: 0.0061 max mem: 31630 Epoch: [32] [ 230/5278] eta: 4:01:32 lr: 1.168833839538168e-05 loss: 0.0382 (0.0421) loss_seg: 0.0378 (0.0417) loss_lansim: 0.0349 (0.0356) loss_contra: 0.0002 (0.0010) time: 2.8547 data: 0.0061 max mem: 31630 Epoch: [32] [ 240/5278] eta: 4:01:05 lr: 1.1685833304099835e-05 loss: 0.0382 (0.0424) loss_seg: 0.0379 (0.0420) loss_lansim: 0.0349 (0.0356) loss_contra: 0.0002 (0.0010) time: 2.8589 data: 0.0062 max mem: 31630 Epoch: [32] [ 250/5278] eta: 4:00:34 lr: 1.1683328153148094e-05 loss: 0.0388 (0.0423) loss_seg: 0.0384 (0.0419) loss_lansim: 0.0348 (0.0356) loss_contra: 0.0002 (0.0010) time: 2.8618 data: 0.0062 max mem: 31630 Epoch: [32] [ 260/5278] eta: 3:59:57 lr: 1.168082294251082e-05 loss: 0.0381 (0.0418) loss_seg: 0.0377 (0.0414) loss_lansim: 0.0349 (0.0356) loss_contra: 0.0002 (0.0010) time: 2.8599 data: 0.0061 max mem: 31630 Epoch: [32] [ 270/5278] eta: 3:59:23 lr: 1.1678317672172377e-05 loss: 0.0388 (0.0418) loss_seg: 0.0384 (0.0414) loss_lansim: 0.0349 (0.0356) loss_contra: 0.0001 (0.0010) time: 2.8557 data: 0.0061 max mem: 31630 Epoch: [32] [ 280/5278] eta: 3:58:49 lr: 1.1675812342117096e-05 loss: 0.0382 (0.0417) loss_seg: 0.0378 (0.0413) loss_lansim: 0.0349 (0.0357) loss_contra: 0.0002 (0.0012) time: 2.8502 data: 0.0061 max mem: 31630 Epoch: [32] [ 290/5278] eta: 3:58:16 lr: 1.1673306952329323e-05 loss: 0.0382 (0.0417) loss_seg: 0.0378 (0.0414) loss_lansim: 0.0349 (0.0356) loss_contra: 0.0002 (0.0012) time: 2.8484 data: 0.0062 max mem: 31630 Epoch: [32] [ 300/5278] eta: 3:57:45 lr: 1.1670801502793387e-05 loss: 0.0382 (0.0415) loss_seg: 0.0378 (0.0411) loss_lansim: 0.0349 (0.0356) loss_contra: 0.0002 (0.0012) time: 2.8476 data: 0.0062 max mem: 31630 Epoch: [32] [ 310/5278] eta: 3:57:24 lr: 1.1668295993493617e-05 loss: 0.0375 (0.0412) loss_seg: 0.0371 (0.0409) loss_lansim: 0.0353 (0.0356) loss_contra: 0.0002 (0.0011) time: 2.8534 data: 0.0062 max mem: 31630 Epoch: [32] [ 320/5278] eta: 3:57:02 lr: 1.1665790424414317e-05 loss: 0.0375 (0.0412) loss_seg: 0.0371 (0.0408) loss_lansim: 0.0345 (0.0356) loss_contra: 0.0002 (0.0011) time: 2.8612 data: 0.0062 max mem: 31630 Epoch: [32] [ 330/5278] eta: 3:56:34 lr: 1.1663284795539799e-05 loss: 0.0380 (0.0415) loss_seg: 0.0377 (0.0412) loss_lansim: 0.0354 (0.0357) loss_contra: 0.0002 (0.0011) time: 2.8638 data: 0.0061 max mem: 31630 Epoch: [32] [ 340/5278] eta: 3:56:05 lr: 1.1660779106854364e-05 loss: 0.0375 (0.0413) loss_seg: 0.0372 (0.0410) loss_lansim: 0.0353 (0.0357) loss_contra: 0.0002 (0.0012) time: 2.8622 data: 0.0060 max mem: 31630 Epoch: [32] [ 350/5278] eta: 3:55:36 lr: 1.1658273358342305e-05 loss: 0.0375 (0.0414) loss_seg: 0.0372 (0.0410) loss_lansim: 0.0357 (0.0357) loss_contra: 0.0002 (0.0012) time: 2.8634 data: 0.0060 max mem: 31630 Epoch: [32] [ 360/5278] eta: 3:55:09 lr: 1.1655767549987899e-05 loss: 0.0379 (0.0414) loss_seg: 0.0373 (0.0410) loss_lansim: 0.0356 (0.0357) loss_contra: 0.0002 (0.0013) time: 2.8681 data: 0.0060 max mem: 31630 Epoch: [32] [ 370/5278] eta: 3:54:43 lr: 1.1653261681775424e-05 loss: 0.0381 (0.0413) loss_seg: 0.0377 (0.0410) loss_lansim: 0.0360 (0.0357) loss_contra: 0.0002 (0.0013) time: 2.8730 data: 0.0060 max mem: 31630 Epoch: [32] [ 380/5278] eta: 3:54:18 lr: 1.1650755753689148e-05 loss: 0.0377 (0.0412) loss_seg: 0.0373 (0.0408) loss_lansim: 0.0357 (0.0357) loss_contra: 0.0002 (0.0014) time: 2.8786 data: 0.0059 max mem: 31630 Epoch: [32] [ 390/5278] eta: 3:53:46 lr: 1.1648249765713331e-05 loss: 0.0376 (0.0411) loss_seg: 0.0372 (0.0407) loss_lansim: 0.0357 (0.0357) loss_contra: 0.0002 (0.0013) time: 2.8799 data: 0.0059 max mem: 31630 Epoch: [32] [ 400/5278] eta: 3:53:13 lr: 1.1645743717832232e-05 loss: 0.0377 (0.0412) loss_seg: 0.0373 (0.0408) loss_lansim: 0.0357 (0.0358) loss_contra: 0.0002 (0.0013) time: 2.8779 data: 0.0058 max mem: 31630 Epoch: [32] [ 410/5278] eta: 3:52:41 lr: 1.1643237610030081e-05 loss: 0.0381 (0.0410) loss_seg: 0.0377 (0.0407) loss_lansim: 0.0358 (0.0358) loss_contra: 0.0002 (0.0013) time: 2.8705 data: 0.0057 max mem: 31630 Epoch: [32] [ 420/5278] eta: 3:52:16 lr: 1.1640731442291122e-05 loss: 0.0385 (0.0410) loss_seg: 0.0382 (0.0407) loss_lansim: 0.0358 (0.0357) loss_contra: 0.0002 (0.0013) time: 2.8696 data: 0.0057 max mem: 31630 Epoch: [32] [ 430/5278] eta: 3:51:54 lr: 1.1638225214599582e-05 loss: 0.0379 (0.0413) loss_seg: 0.0373 (0.0410) loss_lansim: 0.0354 (0.0357) loss_contra: 0.0002 (0.0013) time: 2.8747 data: 0.0056 max mem: 31630 Epoch: [32] [ 440/5278] eta: 3:51:31 lr: 1.1635718926939688e-05 loss: 0.0381 (0.0413) loss_seg: 0.0377 (0.0409) loss_lansim: 0.0358 (0.0358) loss_contra: 0.0002 (0.0013) time: 2.8806 data: 0.0057 max mem: 31630 Epoch: [32] [ 450/5278] eta: 3:51:12 lr: 1.1633212579295636e-05 loss: 0.0385 (0.0414) loss_seg: 0.0382 (0.0411) loss_lansim: 0.0357 (0.0358) loss_contra: 0.0002 (0.0013) time: 2.8895 data: 0.0057 max mem: 31630 Epoch: [32] [ 460/5278] eta: 3:50:53 lr: 1.1630706171651644e-05 loss: 0.0386 (0.0414) loss_seg: 0.0383 (0.0410) loss_lansim: 0.0357 (0.0358) loss_contra: 0.0002 (0.0012) time: 2.8983 data: 0.0057 max mem: 31630 Epoch: [32] [ 470/5278] eta: 3:50:24 lr: 1.1628199703991902e-05 loss: 0.0390 (0.0414) loss_seg: 0.0387 (0.0410) loss_lansim: 0.0357 (0.0358) loss_contra: 0.0002 (0.0012) time: 2.8968 data: 0.0057 max mem: 31630 Epoch: [32] [ 480/5278] eta: 3:49:54 lr: 1.1625693176300606e-05 loss: 0.0393 (0.0415) loss_seg: 0.0388 (0.0411) loss_lansim: 0.0357 (0.0358) loss_contra: 0.0002 (0.0013) time: 2.8939 data: 0.0057 max mem: 31630 Epoch: [32] [ 490/5278] eta: 3:49:25 lr: 1.1623186588561927e-05 loss: 0.0398 (0.0415) loss_seg: 0.0394 (0.0411) loss_lansim: 0.0357 (0.0358) loss_contra: 0.0002 (0.0014) time: 2.8955 data: 0.0057 max mem: 31630 Epoch: [32] [ 500/5278] eta: 3:48:55 lr: 1.1620679940760041e-05 loss: 0.0397 (0.0416) loss_seg: 0.0393 (0.0412) loss_lansim: 0.0357 (0.0358) loss_contra: 0.0002 (0.0014) time: 2.8990 data: 0.0057 max mem: 31630 Epoch: [32] [ 510/5278] eta: 3:48:23 lr: 1.1618173232879111e-05 loss: 0.0398 (0.0415) loss_seg: 0.0394 (0.0412) loss_lansim: 0.0354 (0.0358) loss_contra: 0.0001 (0.0014) time: 2.8983 data: 0.0058 max mem: 31630 Epoch: [32] [ 520/5278] eta: 3:47:55 lr: 1.1615666464903303e-05 loss: 0.0387 (0.0414) loss_seg: 0.0384 (0.0410) loss_lansim: 0.0357 (0.0358) loss_contra: 0.0002 (0.0014) time: 2.8968 data: 0.0058 max mem: 31630 Epoch: [32] [ 530/5278] eta: 3:47:24 lr: 1.1613159636816753e-05 loss: 0.0393 (0.0414) loss_seg: 0.0388 (0.0411) loss_lansim: 0.0363 (0.0358) loss_contra: 0.0001 (0.0014) time: 2.8894 data: 0.0058 max mem: 31630 Epoch: [32] [ 540/5278] eta: 3:46:54 lr: 1.1610652748603606e-05 loss: 0.0393 (0.0415) loss_seg: 0.0388 (0.0411) loss_lansim: 0.0351 (0.0358) loss_contra: 0.0001 (0.0014) time: 2.8823 data: 0.0058 max mem: 31630 Epoch: [32] [ 550/5278] eta: 3:46:22 lr: 1.1608145800247995e-05 loss: 0.0379 (0.0415) loss_seg: 0.0376 (0.0411) loss_lansim: 0.0351 (0.0358) loss_contra: 0.0001 (0.0014) time: 2.8703 data: 0.0058 max mem: 31630 Epoch: [32] [ 560/5278] eta: 3:45:50 lr: 1.1605638791734052e-05 loss: 0.0375 (0.0415) loss_seg: 0.0372 (0.0411) loss_lansim: 0.0350 (0.0358) loss_contra: 0.0001 (0.0014) time: 2.8574 data: 0.0059 max mem: 31630 Epoch: [32] [ 570/5278] eta: 3:45:18 lr: 1.1603131723045881e-05 loss: 0.0374 (0.0414) loss_seg: 0.0371 (0.0410) loss_lansim: 0.0338 (0.0357) loss_contra: 0.0002 (0.0017) time: 2.8534 data: 0.0059 max mem: 31630 Epoch: [32] [ 580/5278] eta: 3:44:47 lr: 1.1600624594167594e-05 loss: 0.0374 (0.0414) loss_seg: 0.0371 (0.0410) loss_lansim: 0.0338 (0.0357) loss_contra: 0.0002 (0.0019) time: 2.8509 data: 0.0059 max mem: 31630 Epoch: [32] [ 590/5278] eta: 3:44:18 lr: 1.1598117405083297e-05 loss: 0.0374 (0.0415) loss_seg: 0.0371 (0.0411) loss_lansim: 0.0336 (0.0357) loss_contra: 0.0002 (0.0021) time: 2.8511 data: 0.0059 max mem: 31630 Epoch: [32] [ 600/5278] eta: 3:43:48 lr: 1.1595610155777083e-05 loss: 0.0374 (0.0416) loss_seg: 0.0371 (0.0412) loss_lansim: 0.0337 (0.0357) loss_contra: 0.0002 (0.0020) time: 2.8495 data: 0.0059 max mem: 31630 Epoch: [32] [ 610/5278] eta: 3:43:18 lr: 1.1593102846233028e-05 loss: 0.0378 (0.0416) loss_seg: 0.0375 (0.0413) loss_lansim: 0.0348 (0.0357) loss_contra: 0.0002 (0.0020) time: 2.8513 data: 0.0059 max mem: 31630 Epoch: [32] [ 620/5278] eta: 3:42:47 lr: 1.1590595476435213e-05 loss: 0.0407 (0.0418) loss_seg: 0.0396 (0.0414) loss_lansim: 0.0347 (0.0357) loss_contra: 0.0002 (0.0021) time: 2.8467 data: 0.0059 max mem: 31630 Epoch: [32] [ 630/5278] eta: 3:42:16 lr: 1.1588088046367707e-05 loss: 0.0408 (0.0417) loss_seg: 0.0403 (0.0414) loss_lansim: 0.0339 (0.0357) loss_contra: 0.0003 (0.0020) time: 2.8457 data: 0.0059 max mem: 31630 Epoch: [32] [ 640/5278] eta: 3:41:46 lr: 1.1585580556014571e-05 loss: 0.0408 (0.0418) loss_seg: 0.0404 (0.0414) loss_lansim: 0.0339 (0.0356) loss_contra: 0.0003 (0.0020) time: 2.8450 data: 0.0059 max mem: 31630 Epoch: [32] [ 650/5278] eta: 3:41:15 lr: 1.158307300535986e-05 loss: 0.0411 (0.0419) loss_seg: 0.0405 (0.0415) loss_lansim: 0.0339 (0.0356) loss_contra: 0.0003 (0.0021) time: 2.8458 data: 0.0059 max mem: 31630 Epoch: [32] [ 660/5278] eta: 3:40:51 lr: 1.1580565394387613e-05 loss: 0.0417 (0.0418) loss_seg: 0.0407 (0.0415) loss_lansim: 0.0341 (0.0356) loss_contra: 0.0003 (0.0020) time: 2.8550 data: 0.0059 max mem: 31630 Epoch: [32] [ 670/5278] eta: 3:40:25 lr: 1.1578057723081865e-05 loss: 0.0411 (0.0418) loss_seg: 0.0407 (0.0414) loss_lansim: 0.0341 (0.0356) loss_contra: 0.0003 (0.0022) time: 2.8627 data: 0.0060 max mem: 31630 Epoch: [32] [ 680/5278] eta: 3:39:57 lr: 1.157554999142665e-05 loss: 0.0417 (0.0418) loss_seg: 0.0414 (0.0414) loss_lansim: 0.0344 (0.0356) loss_contra: 0.0003 (0.0021) time: 2.8672 data: 0.0060 max mem: 31630 Epoch: [32] [ 690/5278] eta: 3:39:32 lr: 1.1573042199405992e-05 loss: 0.0407 (0.0417) loss_seg: 0.0403 (0.0413) loss_lansim: 0.0341 (0.0356) loss_contra: 0.0002 (0.0021) time: 2.8729 data: 0.0060 max mem: 31630 Epoch: [32] [ 700/5278] eta: 3:39:05 lr: 1.1570534347003888e-05 loss: 0.0402 (0.0417) loss_seg: 0.0399 (0.0413) loss_lansim: 0.0341 (0.0356) loss_contra: 0.0002 (0.0021) time: 2.8772 data: 0.0061 max mem: 31630 Epoch: [32] [ 710/5278] eta: 3:38:36 lr: 1.1568026434204352e-05 loss: 0.0390 (0.0417) loss_seg: 0.0387 (0.0413) loss_lansim: 0.0338 (0.0356) loss_contra: 0.0002 (0.0021) time: 2.8790 data: 0.0061 max mem: 31630 Epoch: [32] [ 720/5278] eta: 3:38:07 lr: 1.1565518460991378e-05 loss: 0.0381 (0.0416) loss_seg: 0.0378 (0.0412) loss_lansim: 0.0336 (0.0356) loss_contra: 0.0002 (0.0021) time: 2.8812 data: 0.0061 max mem: 31630 Epoch: [32] [ 730/5278] eta: 3:37:41 lr: 1.156301042734896e-05 loss: 0.0382 (0.0416) loss_seg: 0.0378 (0.0412) loss_lansim: 0.0336 (0.0356) loss_contra: 0.0002 (0.0021) time: 2.8879 data: 0.0061 max mem: 31630 Epoch: [32] [ 740/5278] eta: 3:37:14 lr: 1.1560502333261069e-05 loss: 0.0382 (0.0423) loss_seg: 0.0378 (0.0419) loss_lansim: 0.0341 (0.0356) loss_contra: 0.0002 (0.0021) time: 2.8936 data: 0.0061 max mem: 31630 Epoch: [32] [ 750/5278] eta: 3:36:45 lr: 1.1557994178711675e-05 loss: 0.0381 (0.0423) loss_seg: 0.0378 (0.0419) loss_lansim: 0.0336 (0.0356) loss_contra: 0.0001 (0.0020) time: 2.8958 data: 0.0060 max mem: 31630 Epoch: [32] [ 760/5278] eta: 3:36:16 lr: 1.155548596368475e-05 loss: 0.0387 (0.0424) loss_seg: 0.0384 (0.0420) loss_lansim: 0.0340 (0.0356) loss_contra: 0.0002 (0.0020) time: 2.8905 data: 0.0060 max mem: 31630 Epoch: [32] [ 770/5278] eta: 3:35:47 lr: 1.1552977688164247e-05 loss: 0.0387 (0.0423) loss_seg: 0.0384 (0.0419) loss_lansim: 0.0347 (0.0355) loss_contra: 0.0002 (0.0020) time: 2.8860 data: 0.0059 max mem: 31630 Epoch: [32] [ 780/5278] eta: 3:35:19 lr: 1.1550469352134108e-05 loss: 0.0375 (0.0422) loss_seg: 0.0370 (0.0419) loss_lansim: 0.0336 (0.0355) loss_contra: 0.0002 (0.0020) time: 2.8846 data: 0.0059 max mem: 31630 Epoch: [32] [ 790/5278] eta: 3:34:49 lr: 1.1547960955578275e-05 loss: 0.0380 (0.0424) loss_seg: 0.0377 (0.0420) loss_lansim: 0.0336 (0.0355) loss_contra: 0.0002 (0.0020) time: 2.8780 data: 0.0059 max mem: 31630 Epoch: [32] [ 800/5278] eta: 3:34:23 lr: 1.154545249848068e-05 loss: 0.0388 (0.0425) loss_seg: 0.0384 (0.0421) loss_lansim: 0.0335 (0.0355) loss_contra: 0.0001 (0.0020) time: 2.8804 data: 0.0058 max mem: 31630 Epoch: [32] [ 810/5278] eta: 3:33:56 lr: 1.1542943980825249e-05 loss: 0.0393 (0.0425) loss_seg: 0.0390 (0.0421) loss_lansim: 0.0340 (0.0355) loss_contra: 0.0001 (0.0020) time: 2.8845 data: 0.0059 max mem: 31630 Epoch: [32] [ 820/5278] eta: 3:33:27 lr: 1.154043540259589e-05 loss: 0.0400 (0.0424) loss_seg: 0.0396 (0.0420) loss_lansim: 0.0340 (0.0355) loss_contra: 0.0001 (0.0019) time: 2.8847 data: 0.0059 max mem: 31630 Epoch: [32] [ 830/5278] eta: 3:32:59 lr: 1.153792676377651e-05 loss: 0.0400 (0.0425) loss_seg: 0.0396 (0.0421) loss_lansim: 0.0340 (0.0355) loss_contra: 0.0001 (0.0019) time: 2.8817 data: 0.0059 max mem: 31630 Epoch: [32] [ 840/5278] eta: 3:32:30 lr: 1.1535418064351008e-05 loss: 0.0389 (0.0424) loss_seg: 0.0386 (0.0420) loss_lansim: 0.0342 (0.0355) loss_contra: 0.0001 (0.0020) time: 2.8781 data: 0.0059 max mem: 31630 Epoch: [32] [ 850/5278] eta: 3:32:00 lr: 1.1532909304303284e-05 loss: 0.0388 (0.0424) loss_seg: 0.0384 (0.0420) loss_lansim: 0.0349 (0.0355) loss_contra: 0.0001 (0.0020) time: 2.8768 data: 0.0060 max mem: 31630 Epoch: [32] [ 860/5278] eta: 3:31:28 lr: 1.1530400483617206e-05 loss: 0.0378 (0.0423) loss_seg: 0.0375 (0.0420) loss_lansim: 0.0345 (0.0355) loss_contra: 0.0002 (0.0020) time: 2.8692 data: 0.0060 max mem: 31630 Epoch: [32] [ 870/5278] eta: 3:30:57 lr: 1.1527891602276652e-05 loss: 0.0389 (0.0423) loss_seg: 0.0386 (0.0420) loss_lansim: 0.0340 (0.0354) loss_contra: 0.0002 (0.0020) time: 2.8664 data: 0.0060 max mem: 31630 Epoch: [32] [ 880/5278] eta: 3:30:29 lr: 1.1525382660265488e-05 loss: 0.0395 (0.0423) loss_seg: 0.0392 (0.0419) loss_lansim: 0.0340 (0.0354) loss_contra: 0.0002 (0.0020) time: 2.8666 data: 0.0061 max mem: 31630 Epoch: [32] [ 890/5278] eta: 3:29:58 lr: 1.1522873657567573e-05 loss: 0.0392 (0.0423) loss_seg: 0.0388 (0.0419) loss_lansim: 0.0342 (0.0354) loss_contra: 0.0002 (0.0019) time: 2.8643 data: 0.0061 max mem: 31630 Epoch: [32] [ 900/5278] eta: 3:29:29 lr: 1.1520364594166762e-05 loss: 0.0395 (0.0423) loss_seg: 0.0392 (0.0419) loss_lansim: 0.0340 (0.0354) loss_contra: 0.0002 (0.0019) time: 2.8591 data: 0.0061 max mem: 31630 Epoch: [32] [ 910/5278] eta: 3:29:01 lr: 1.1517855470046882e-05 loss: 0.0392 (0.0423) loss_seg: 0.0388 (0.0419) loss_lansim: 0.0341 (0.0354) loss_contra: 0.0002 (0.0019) time: 2.8566 data: 0.0061 max mem: 31630 Epoch: [32] [ 920/5278] eta: 3:28:33 lr: 1.1515346285191774e-05 loss: 0.0390 (0.0422) loss_seg: 0.0386 (0.0419) loss_lansim: 0.0340 (0.0353) loss_contra: 0.0003 (0.0019) time: 2.8589 data: 0.0061 max mem: 31630 Epoch: [32] [ 930/5278] eta: 3:28:05 lr: 1.1512837039585262e-05 loss: 0.0388 (0.0422) loss_seg: 0.0384 (0.0418) loss_lansim: 0.0341 (0.0354) loss_contra: 0.0002 (0.0019) time: 2.8590 data: 0.0061 max mem: 31630 Epoch: [32] [ 940/5278] eta: 3:27:38 lr: 1.1510327733211166e-05 loss: 0.0394 (0.0422) loss_seg: 0.0390 (0.0419) loss_lansim: 0.0335 (0.0354) loss_contra: 0.0002 (0.0019) time: 2.8633 data: 0.0061 max mem: 31630 Epoch: [32] [ 950/5278] eta: 3:27:10 lr: 1.1507818366053285e-05 loss: 0.0393 (0.0422) loss_seg: 0.0388 (0.0418) loss_lansim: 0.0332 (0.0354) loss_contra: 0.0002 (0.0019) time: 2.8660 data: 0.0060 max mem: 31630 Epoch: [32] [ 960/5278] eta: 3:26:40 lr: 1.1505308938095425e-05 loss: 0.0395 (0.0422) loss_seg: 0.0392 (0.0418) loss_lansim: 0.0339 (0.0354) loss_contra: 0.0001 (0.0019) time: 2.8719 data: 0.0060 max mem: 31630 Epoch: [32] [ 970/5278] eta: 3:26:10 lr: 1.1502799449321375e-05 loss: 0.0387 (0.0421) loss_seg: 0.0383 (0.0417) loss_lansim: 0.0341 (0.0354) loss_contra: 0.0001 (0.0019) time: 2.8722 data: 0.0060 max mem: 31630 Epoch: [32] [ 980/5278] eta: 3:25:40 lr: 1.1500289899714926e-05 loss: 0.0384 (0.0420) loss_seg: 0.0381 (0.0416) loss_lansim: 0.0341 (0.0353) loss_contra: 0.0001 (0.0019) time: 2.8688 data: 0.0059 max mem: 31630 Epoch: [32] [ 990/5278] eta: 3:25:10 lr: 1.1497780289259841e-05 loss: 0.0381 (0.0420) loss_seg: 0.0376 (0.0416) loss_lansim: 0.0341 (0.0353) loss_contra: 0.0001 (0.0019) time: 2.8684 data: 0.0059 max mem: 31630 Epoch: [32] [1000/5278] eta: 3:24:40 lr: 1.1495270617939893e-05 loss: 0.0367 (0.0420) loss_seg: 0.0364 (0.0416) loss_lansim: 0.0341 (0.0353) loss_contra: 0.0001 (0.0018) time: 2.8655 data: 0.0059 max mem: 31630 Epoch: [32] [1010/5278] eta: 3:24:12 lr: 1.149276088573884e-05 loss: 0.0366 (0.0419) loss_seg: 0.0362 (0.0415) loss_lansim: 0.0341 (0.0353) loss_contra: 0.0001 (0.0018) time: 2.8652 data: 0.0059 max mem: 31630 Epoch: [32] [1020/5278] eta: 3:23:43 lr: 1.1490251092640436e-05 loss: 0.0361 (0.0418) loss_seg: 0.0357 (0.0415) loss_lansim: 0.0343 (0.0353) loss_contra: 0.0001 (0.0018) time: 2.8649 data: 0.0059 max mem: 31630 Epoch: [32] [1030/5278] eta: 3:23:14 lr: 1.1487741238628416e-05 loss: 0.0361 (0.0418) loss_seg: 0.0357 (0.0414) loss_lansim: 0.0341 (0.0353) loss_contra: 0.0001 (0.0018) time: 2.8633 data: 0.0059 max mem: 31630 Epoch: [32] [1040/5278] eta: 3:22:44 lr: 1.1485231323686517e-05 loss: 0.0356 (0.0418) loss_seg: 0.0352 (0.0415) loss_lansim: 0.0341 (0.0353) loss_contra: 0.0001 (0.0018) time: 2.8564 data: 0.0059 max mem: 31630 Epoch: [32] [1050/5278] eta: 3:22:14 lr: 1.1482721347798462e-05 loss: 0.0361 (0.0419) loss_seg: 0.0357 (0.0415) loss_lansim: 0.0342 (0.0353) loss_contra: 0.0001 (0.0018) time: 2.8519 data: 0.0059 max mem: 31630 Epoch: [32] [1060/5278] eta: 3:21:45 lr: 1.1480211310947981e-05 loss: 0.0361 (0.0418) loss_seg: 0.0358 (0.0415) loss_lansim: 0.0341 (0.0353) loss_contra: 0.0002 (0.0018) time: 2.8507 data: 0.0059 max mem: 31630 Epoch: [32] [1070/5278] eta: 3:21:16 lr: 1.1477701213118763e-05 loss: 0.0371 (0.0419) loss_seg: 0.0367 (0.0415) loss_lansim: 0.0340 (0.0353) loss_contra: 0.0002 (0.0018) time: 2.8539 data: 0.0059 max mem: 31630 Epoch: [32] [1080/5278] eta: 3:20:48 lr: 1.1475191054294517e-05 loss: 0.0373 (0.0420) loss_seg: 0.0370 (0.0416) loss_lansim: 0.0340 (0.0352) loss_contra: 0.0002 (0.0018) time: 2.8585 data: 0.0059 max mem: 31630 Epoch: [32] [1090/5278] eta: 3:20:21 lr: 1.147268083445894e-05 loss: 0.0376 (0.0420) loss_seg: 0.0372 (0.0416) loss_lansim: 0.0338 (0.0352) loss_contra: 0.0002 (0.0018) time: 2.8652 data: 0.0060 max mem: 31630 Epoch: [32] [1100/5278] eta: 3:19:52 lr: 1.1470170553595715e-05 loss: 0.0373 (0.0419) loss_seg: 0.0370 (0.0415) loss_lansim: 0.0341 (0.0352) loss_contra: 0.0002 (0.0018) time: 2.8690 data: 0.0060 max mem: 31630 Epoch: [32] [1110/5278] eta: 3:19:23 lr: 1.1467660211688508e-05 loss: 0.0377 (0.0419) loss_seg: 0.0375 (0.0415) loss_lansim: 0.0338 (0.0352) loss_contra: 0.0002 (0.0018) time: 2.8681 data: 0.0060 max mem: 31630 Epoch: [32] [1120/5278] eta: 3:18:55 lr: 1.1465149808720994e-05 loss: 0.0393 (0.0419) loss_seg: 0.0390 (0.0415) loss_lansim: 0.0335 (0.0352) loss_contra: 0.0002 (0.0018) time: 2.8666 data: 0.0060 max mem: 31630 Epoch: [32] [1130/5278] eta: 3:18:26 lr: 1.1462639344676828e-05 loss: 0.0393 (0.0419) loss_seg: 0.0390 (0.0416) loss_lansim: 0.0334 (0.0351) loss_contra: 0.0002 (0.0018) time: 2.8681 data: 0.0060 max mem: 31630 Epoch: [32] [1140/5278] eta: 3:17:59 lr: 1.1460128819539666e-05 loss: 0.0383 (0.0420) loss_seg: 0.0380 (0.0416) loss_lansim: 0.0335 (0.0351) loss_contra: 0.0002 (0.0018) time: 2.8757 data: 0.0060 max mem: 31630 Epoch: [32] [1150/5278] eta: 3:17:33 lr: 1.1457618233293151e-05 loss: 0.0393 (0.0420) loss_seg: 0.0390 (0.0417) loss_lansim: 0.0334 (0.0351) loss_contra: 0.0002 (0.0018) time: 2.8843 data: 0.0060 max mem: 31630 Epoch: [32] [1160/5278] eta: 3:17:05 lr: 1.1455107585920907e-05 loss: 0.0396 (0.0421) loss_seg: 0.0391 (0.0417) loss_lansim: 0.0334 (0.0351) loss_contra: 0.0002 (0.0018) time: 2.8914 data: 0.0061 max mem: 31630 Epoch: [32] [1170/5278] eta: 3:16:38 lr: 1.1452596877406565e-05 loss: 0.0404 (0.0421) loss_seg: 0.0399 (0.0417) loss_lansim: 0.0334 (0.0351) loss_contra: 0.0002 (0.0018) time: 2.8952 data: 0.0060 max mem: 31630 Epoch: [32] [1180/5278] eta: 3:16:09 lr: 1.1450086107733742e-05 loss: 0.0390 (0.0421) loss_seg: 0.0387 (0.0417) loss_lansim: 0.0334 (0.0351) loss_contra: 0.0001 (0.0018) time: 2.8939 data: 0.0060 max mem: 31630 Epoch: [32] [1190/5278] eta: 3:15:40 lr: 1.1447575276886052e-05 loss: 0.0374 (0.0421) loss_seg: 0.0371 (0.0417) loss_lansim: 0.0334 (0.0351) loss_contra: 0.0001 (0.0018) time: 2.8883 data: 0.0060 max mem: 31630 Epoch: [32] [1200/5278] eta: 3:15:09 lr: 1.1445064384847085e-05 loss: 0.0390 (0.0421) loss_seg: 0.0387 (0.0417) loss_lansim: 0.0333 (0.0351) loss_contra: 0.0001 (0.0018) time: 2.8833 data: 0.0060 max mem: 31630 Epoch: [32] [1210/5278] eta: 3:14:39 lr: 1.1442553431600438e-05 loss: 0.0393 (0.0420) loss_seg: 0.0389 (0.0417) loss_lansim: 0.0333 (0.0351) loss_contra: 0.0001 (0.0018) time: 2.8785 data: 0.0060 max mem: 31630 Epoch: [32] [1220/5278] eta: 3:14:10 lr: 1.1440042417129693e-05 loss: 0.0390 (0.0420) loss_seg: 0.0387 (0.0416) loss_lansim: 0.0331 (0.0350) loss_contra: 0.0001 (0.0018) time: 2.8760 data: 0.0060 max mem: 31630 Epoch: [32] [1230/5278] eta: 3:13:41 lr: 1.1437531341418432e-05 loss: 0.0382 (0.0420) loss_seg: 0.0379 (0.0416) loss_lansim: 0.0334 (0.0350) loss_contra: 0.0001 (0.0018) time: 2.8743 data: 0.0060 max mem: 31630 Epoch: [32] [1240/5278] eta: 3:13:12 lr: 1.143502020445021e-05 loss: 0.0380 (0.0420) loss_seg: 0.0377 (0.0416) loss_lansim: 0.0332 (0.0350) loss_contra: 0.0001 (0.0017) time: 2.8708 data: 0.0059 max mem: 31630 Epoch: [32] [1250/5278] eta: 3:12:43 lr: 1.1432509006208591e-05 loss: 0.0377 (0.0419) loss_seg: 0.0373 (0.0416) loss_lansim: 0.0334 (0.0350) loss_contra: 0.0001 (0.0017) time: 2.8628 data: 0.0059 max mem: 31630 Epoch: [32] [1260/5278] eta: 3:12:13 lr: 1.1429997746677127e-05 loss: 0.0374 (0.0419) loss_seg: 0.0371 (0.0415) loss_lansim: 0.0335 (0.0350) loss_contra: 0.0001 (0.0017) time: 2.8542 data: 0.0059 max mem: 31630 Epoch: [32] [1270/5278] eta: 3:11:43 lr: 1.142748642583936e-05 loss: 0.0368 (0.0418) loss_seg: 0.0364 (0.0415) loss_lansim: 0.0335 (0.0350) loss_contra: 0.0001 (0.0017) time: 2.8457 data: 0.0059 max mem: 31630 Epoch: [32] [1280/5278] eta: 3:11:12 lr: 1.1424975043678816e-05 loss: 0.0369 (0.0419) loss_seg: 0.0365 (0.0415) loss_lansim: 0.0338 (0.0350) loss_contra: 0.0001 (0.0017) time: 2.8401 data: 0.0059 max mem: 31630 Epoch: [32] [1290/5278] eta: 3:10:44 lr: 1.142246360017902e-05 loss: 0.0369 (0.0418) loss_seg: 0.0365 (0.0415) loss_lansim: 0.0335 (0.0350) loss_contra: 0.0001 (0.0017) time: 2.8426 data: 0.0059 max mem: 31630 Epoch: [32] [1300/5278] eta: 3:10:15 lr: 1.1419952095323495e-05 loss: 0.0364 (0.0418) loss_seg: 0.0360 (0.0414) loss_lansim: 0.0334 (0.0349) loss_contra: 0.0001 (0.0017) time: 2.8474 data: 0.0059 max mem: 31630 Epoch: [32] [1310/5278] eta: 3:09:46 lr: 1.1417440529095749e-05 loss: 0.0364 (0.0419) loss_seg: 0.0360 (0.0415) loss_lansim: 0.0332 (0.0349) loss_contra: 0.0001 (0.0017) time: 2.8519 data: 0.0059 max mem: 31630 Epoch: [32] [1320/5278] eta: 3:09:16 lr: 1.1414928901479271e-05 loss: 0.0367 (0.0419) loss_seg: 0.0365 (0.0416) loss_lansim: 0.0335 (0.0349) loss_contra: 0.0001 (0.0017) time: 2.8509 data: 0.0060 max mem: 31630 Epoch: [32] [1330/5278] eta: 3:08:47 lr: 1.1412417212457558e-05 loss: 0.0367 (0.0419) loss_seg: 0.0364 (0.0415) loss_lansim: 0.0335 (0.0349) loss_contra: 0.0001 (0.0017) time: 2.8476 data: 0.0060 max mem: 31630 Epoch: [32] [1340/5278] eta: 3:08:17 lr: 1.1409905462014092e-05 loss: 0.0367 (0.0419) loss_seg: 0.0365 (0.0415) loss_lansim: 0.0333 (0.0349) loss_contra: 0.0002 (0.0017) time: 2.8429 data: 0.0060 max mem: 31630 Epoch: [32] [1350/5278] eta: 3:07:47 lr: 1.1407393650132354e-05 loss: 0.0377 (0.0419) loss_seg: 0.0373 (0.0415) loss_lansim: 0.0325 (0.0348) loss_contra: 0.0001 (0.0017) time: 2.8419 data: 0.0061 max mem: 31630 Epoch: [32] [1360/5278] eta: 3:07:18 lr: 1.1404881776795792e-05 loss: 0.0379 (0.0419) loss_seg: 0.0376 (0.0415) loss_lansim: 0.0314 (0.0348) loss_contra: 0.0001 (0.0017) time: 2.8440 data: 0.0061 max mem: 31630 Epoch: [32] [1370/5278] eta: 3:06:50 lr: 1.1402369841987875e-05 loss: 0.0379 (0.0419) loss_seg: 0.0376 (0.0415) loss_lansim: 0.0321 (0.0348) loss_contra: 0.0001 (0.0017) time: 2.8512 data: 0.0062 max mem: 31630 Epoch: [32] [1380/5278] eta: 3:06:22 lr: 1.1399857845692045e-05 loss: 0.0383 (0.0419) loss_seg: 0.0380 (0.0415) loss_lansim: 0.0314 (0.0348) loss_contra: 0.0001 (0.0017) time: 2.8595 data: 0.0062 max mem: 31630 Epoch: [32] [1390/5278] eta: 3:05:54 lr: 1.1397345787891746e-05 loss: 0.0389 (0.0419) loss_seg: 0.0386 (0.0415) loss_lansim: 0.0312 (0.0347) loss_contra: 0.0001 (0.0016) time: 2.8595 data: 0.0062 max mem: 31630 Epoch: [32] [1400/5278] eta: 3:05:25 lr: 1.1394833668570417e-05 loss: 0.0389 (0.0419) loss_seg: 0.0386 (0.0415) loss_lansim: 0.0319 (0.0347) loss_contra: 0.0001 (0.0016) time: 2.8594 data: 0.0062 max mem: 31630 Epoch: [32] [1410/5278] eta: 3:04:57 lr: 1.1392321487711463e-05 loss: 0.0389 (0.0419) loss_seg: 0.0386 (0.0416) loss_lansim: 0.0321 (0.0347) loss_contra: 0.0001 (0.0016) time: 2.8599 data: 0.0062 max mem: 31630 Epoch: [32] [1420/5278] eta: 3:04:27 lr: 1.1389809245298307e-05 loss: 0.0385 (0.0419) loss_seg: 0.0382 (0.0416) loss_lansim: 0.0319 (0.0347) loss_contra: 0.0001 (0.0016) time: 2.8603 data: 0.0061 max mem: 31630 Epoch: [32] [1430/5278] eta: 3:03:58 lr: 1.1387296941314353e-05 loss: 0.0387 (0.0419) loss_seg: 0.0383 (0.0415) loss_lansim: 0.0315 (0.0347) loss_contra: 0.0001 (0.0017) time: 2.8625 data: 0.0061 max mem: 31630 Epoch: [32] [1440/5278] eta: 3:03:30 lr: 1.1384784575743007e-05 loss: 0.0383 (0.0419) loss_seg: 0.0380 (0.0415) loss_lansim: 0.0315 (0.0347) loss_contra: 0.0001 (0.0017) time: 2.8702 data: 0.0061 max mem: 31630 Epoch: [32] [1450/5278] eta: 3:03:02 lr: 1.1382272148567642e-05 loss: 0.0384 (0.0419) loss_seg: 0.0380 (0.0415) loss_lansim: 0.0317 (0.0347) loss_contra: 0.0001 (0.0017) time: 2.8754 data: 0.0061 max mem: 31630 Epoch: [32] [1460/5278] eta: 3:02:34 lr: 1.1379759659771647e-05 loss: 0.0390 (0.0419) loss_seg: 0.0387 (0.0415) loss_lansim: 0.0318 (0.0346) loss_contra: 0.0001 (0.0017) time: 2.8791 data: 0.0060 max mem: 31630 Epoch: [32] [1470/5278] eta: 3:02:05 lr: 1.1377247109338391e-05 loss: 0.0392 (0.0419) loss_seg: 0.0389 (0.0415) loss_lansim: 0.0312 (0.0346) loss_contra: 0.0001 (0.0017) time: 2.8768 data: 0.0059 max mem: 31630 Epoch: [32] [1480/5278] eta: 3:01:37 lr: 1.1374734497251242e-05 loss: 0.0390 (0.0419) loss_seg: 0.0387 (0.0415) loss_lansim: 0.0312 (0.0346) loss_contra: 0.0001 (0.0017) time: 2.8735 data: 0.0059 max mem: 31630 Epoch: [32] [1490/5278] eta: 3:01:08 lr: 1.1372221823493546e-05 loss: 0.0387 (0.0419) loss_seg: 0.0383 (0.0415) loss_lansim: 0.0307 (0.0346) loss_contra: 0.0001 (0.0017) time: 2.8740 data: 0.0059 max mem: 31630 Epoch: [32] [1500/5278] eta: 3:00:39 lr: 1.136970908804865e-05 loss: 0.0385 (0.0419) loss_seg: 0.0382 (0.0415) loss_lansim: 0.0306 (0.0345) loss_contra: 0.0001 (0.0017) time: 2.8733 data: 0.0059 max mem: 31630 Epoch: [32] [1510/5278] eta: 3:00:11 lr: 1.1367196290899894e-05 loss: 0.0384 (0.0418) loss_seg: 0.0380 (0.0415) loss_lansim: 0.0306 (0.0345) loss_contra: 0.0001 (0.0017) time: 2.8738 data: 0.0059 max mem: 31630 Epoch: [32] [1520/5278] eta: 2:59:43 lr: 1.1364683432030612e-05 loss: 0.0381 (0.0418) loss_seg: 0.0378 (0.0415) loss_lansim: 0.0306 (0.0345) loss_contra: 0.0002 (0.0017) time: 2.8781 data: 0.0059 max mem: 31630 Epoch: [32] [1530/5278] eta: 2:59:14 lr: 1.1362170511424112e-05 loss: 0.0384 (0.0418) loss_seg: 0.0380 (0.0415) loss_lansim: 0.0306 (0.0345) loss_contra: 0.0001 (0.0017) time: 2.8816 data: 0.0059 max mem: 31630 Epoch: [32] [1540/5278] eta: 2:58:46 lr: 1.1359657529063709e-05 loss: 0.0392 (0.0418) loss_seg: 0.0389 (0.0415) loss_lansim: 0.0304 (0.0344) loss_contra: 0.0001 (0.0017) time: 2.8781 data: 0.0059 max mem: 31630 Epoch: [32] [1550/5278] eta: 2:58:17 lr: 1.1357144484932709e-05 loss: 0.0385 (0.0418) loss_seg: 0.0381 (0.0415) loss_lansim: 0.0303 (0.0344) loss_contra: 0.0001 (0.0017) time: 2.8764 data: 0.0059 max mem: 31630 Epoch: [32] [1560/5278] eta: 2:57:48 lr: 1.1354631379014407e-05 loss: 0.0381 (0.0418) loss_seg: 0.0378 (0.0414) loss_lansim: 0.0290 (0.0344) loss_contra: 0.0001 (0.0017) time: 2.8733 data: 0.0058 max mem: 31630 Epoch: [32] [1570/5278] eta: 2:57:19 lr: 1.1352118211292083e-05 loss: 0.0378 (0.0418) loss_seg: 0.0375 (0.0415) loss_lansim: 0.0291 (0.0343) loss_contra: 0.0001 (0.0017) time: 2.8720 data: 0.0058 max mem: 31630 Epoch: [32] [1580/5278] eta: 2:56:50 lr: 1.1349604981749014e-05 loss: 0.0376 (0.0418) loss_seg: 0.0372 (0.0415) loss_lansim: 0.0290 (0.0343) loss_contra: 0.0002 (0.0017) time: 2.8719 data: 0.0058 max mem: 31630 Epoch: [32] [1590/5278] eta: 2:56:22 lr: 1.1347091690368471e-05 loss: 0.0372 (0.0418) loss_seg: 0.0369 (0.0414) loss_lansim: 0.0290 (0.0343) loss_contra: 0.0002 (0.0017) time: 2.8736 data: 0.0058 max mem: 31630 Epoch: [32] [1600/5278] eta: 2:55:54 lr: 1.1344578337133719e-05 loss: 0.0376 (0.0418) loss_seg: 0.0372 (0.0414) loss_lansim: 0.0293 (0.0343) loss_contra: 0.0002 (0.0017) time: 2.8745 data: 0.0059 max mem: 31630 Epoch: [32] [1610/5278] eta: 2:55:26 lr: 1.1342064922027995e-05 loss: 0.0380 (0.0418) loss_seg: 0.0378 (0.0415) loss_lansim: 0.0293 (0.0343) loss_contra: 0.0002 (0.0017) time: 2.8780 data: 0.0058 max mem: 31630 Epoch: [32] [1620/5278] eta: 2:54:58 lr: 1.1339551445034551e-05 loss: 0.0381 (0.0418) loss_seg: 0.0378 (0.0415) loss_lansim: 0.0293 (0.0342) loss_contra: 0.0002 (0.0017) time: 2.8820 data: 0.0058 max mem: 31630 Epoch: [32] [1630/5278] eta: 2:54:30 lr: 1.1337037906136616e-05 loss: 0.0382 (0.0418) loss_seg: 0.0378 (0.0415) loss_lansim: 0.0294 (0.0342) loss_contra: 0.0003 (0.0017) time: 2.8809 data: 0.0058 max mem: 31630 Epoch: [32] [1640/5278] eta: 2:54:01 lr: 1.1334524305317417e-05 loss: 0.0380 (0.0418) loss_seg: 0.0377 (0.0414) loss_lansim: 0.0300 (0.0342) loss_contra: 0.0003 (0.0016) time: 2.8811 data: 0.0058 max mem: 31630 Epoch: [32] [1650/5278] eta: 2:53:33 lr: 1.1332010642560175e-05 loss: 0.0380 (0.0418) loss_seg: 0.0377 (0.0414) loss_lansim: 0.0307 (0.0342) loss_contra: 0.0003 (0.0016) time: 2.8818 data: 0.0059 max mem: 31630 Epoch: [32] [1660/5278] eta: 2:53:03 lr: 1.1329496917848086e-05 loss: 0.0372 (0.0417) loss_seg: 0.0369 (0.0414) loss_lansim: 0.0308 (0.0342) loss_contra: 0.0003 (0.0016) time: 2.8761 data: 0.0059 max mem: 31630 Epoch: [32] [1670/5278] eta: 2:52:33 lr: 1.1326983131164355e-05 loss: 0.0377 (0.0417) loss_seg: 0.0374 (0.0414) loss_lansim: 0.0310 (0.0342) loss_contra: 0.0003 (0.0016) time: 2.8734 data: 0.0059 max mem: 31630 Epoch: [32] [1680/5278] eta: 2:52:04 lr: 1.1324469282492173e-05 loss: 0.0380 (0.0417) loss_seg: 0.0378 (0.0414) loss_lansim: 0.0315 (0.0342) loss_contra: 0.0002 (0.0016) time: 2.8701 data: 0.0059 max mem: 31630 Epoch: [32] [1690/5278] eta: 2:51:34 lr: 1.1321955371814724e-05 loss: 0.0380 (0.0417) loss_seg: 0.0378 (0.0414) loss_lansim: 0.0315 (0.0341) loss_contra: 0.0002 (0.0016) time: 2.8639 data: 0.0059 max mem: 31630 Epoch: [32] [1700/5278] eta: 2:51:05 lr: 1.1319441399115171e-05 loss: 0.0369 (0.0417) loss_seg: 0.0366 (0.0413) loss_lansim: 0.0310 (0.0341) loss_contra: 0.0002 (0.0016) time: 2.8596 data: 0.0059 max mem: 31630 Epoch: [32] [1710/5278] eta: 2:50:36 lr: 1.1316927364376685e-05 loss: 0.0368 (0.0417) loss_seg: 0.0364 (0.0414) loss_lansim: 0.0307 (0.0341) loss_contra: 0.0002 (0.0016) time: 2.8536 data: 0.0059 max mem: 31630 Epoch: [32] [1720/5278] eta: 2:50:07 lr: 1.131441326758242e-05 loss: 0.0365 (0.0417) loss_seg: 0.0362 (0.0414) loss_lansim: 0.0307 (0.0341) loss_contra: 0.0002 (0.0016) time: 2.8478 data: 0.0059 max mem: 31630 Epoch: [32] [1730/5278] eta: 2:49:37 lr: 1.1311899108715525e-05 loss: 0.0365 (0.0417) loss_seg: 0.0362 (0.0414) loss_lansim: 0.0306 (0.0341) loss_contra: 0.0002 (0.0016) time: 2.8436 data: 0.0059 max mem: 31630 Epoch: [32] [1740/5278] eta: 2:49:08 lr: 1.130938488775913e-05 loss: 0.0368 (0.0417) loss_seg: 0.0365 (0.0414) loss_lansim: 0.0305 (0.0341) loss_contra: 0.0002 (0.0016) time: 2.8379 data: 0.0059 max mem: 31630 Epoch: [32] [1750/5278] eta: 2:48:38 lr: 1.130687060469637e-05 loss: 0.0365 (0.0417) loss_seg: 0.0362 (0.0413) loss_lansim: 0.0298 (0.0340) loss_contra: 0.0002 (0.0016) time: 2.8323 data: 0.0059 max mem: 31630 Epoch: [32] [1760/5278] eta: 2:48:09 lr: 1.130435625951036e-05 loss: 0.0368 (0.0417) loss_seg: 0.0365 (0.0414) loss_lansim: 0.0296 (0.0340) loss_contra: 0.0002 (0.0016) time: 2.8346 data: 0.0058 max mem: 31630 Epoch: [32] [1770/5278] eta: 2:47:39 lr: 1.1301841852184223e-05 loss: 0.0368 (0.0417) loss_seg: 0.0365 (0.0414) loss_lansim: 0.0295 (0.0340) loss_contra: 0.0002 (0.0016) time: 2.8334 data: 0.0059 max mem: 31630 Epoch: [32] [1780/5278] eta: 2:47:10 lr: 1.1299327382701048e-05 loss: 0.0368 (0.0417) loss_seg: 0.0365 (0.0414) loss_lansim: 0.0293 (0.0340) loss_contra: 0.0002 (0.0016) time: 2.8350 data: 0.0059 max mem: 31630 Epoch: [32] [1790/5278] eta: 2:46:41 lr: 1.1296812851043936e-05 loss: 0.0369 (0.0417) loss_seg: 0.0367 (0.0413) loss_lansim: 0.0296 (0.0340) loss_contra: 0.0002 (0.0016) time: 2.8363 data: 0.0059 max mem: 31630 Epoch: [32] [1800/5278] eta: 2:46:11 lr: 1.1294298257195968e-05 loss: 0.0372 (0.0417) loss_seg: 0.0369 (0.0413) loss_lansim: 0.0296 (0.0340) loss_contra: 0.0002 (0.0016) time: 2.8357 data: 0.0060 max mem: 31630 Epoch: [32] [1810/5278] eta: 2:45:42 lr: 1.1291783601140229e-05 loss: 0.0373 (0.0417) loss_seg: 0.0370 (0.0413) loss_lansim: 0.0300 (0.0339) loss_contra: 0.0002 (0.0016) time: 2.8364 data: 0.0060 max mem: 31630 Epoch: [32] [1820/5278] eta: 2:45:14 lr: 1.1289268882859776e-05 loss: 0.0373 (0.0417) loss_seg: 0.0370 (0.0413) loss_lansim: 0.0300 (0.0339) loss_contra: 0.0002 (0.0016) time: 2.8363 data: 0.0060 max mem: 31630 Epoch: [32] [1830/5278] eta: 2:44:45 lr: 1.128675410233767e-05 loss: 0.0364 (0.0416) loss_seg: 0.0360 (0.0413) loss_lansim: 0.0298 (0.0339) loss_contra: 0.0002 (0.0016) time: 2.8388 data: 0.0061 max mem: 31630 Epoch: [32] [1840/5278] eta: 2:44:17 lr: 1.1284239259556965e-05 loss: 0.0362 (0.0416) loss_seg: 0.0359 (0.0412) loss_lansim: 0.0300 (0.0339) loss_contra: 0.0002 (0.0016) time: 2.8465 data: 0.0060 max mem: 31630 Epoch: [32] [1850/5278] eta: 2:43:48 lr: 1.1281724354500698e-05 loss: 0.0365 (0.0416) loss_seg: 0.0361 (0.0412) loss_lansim: 0.0302 (0.0339) loss_contra: 0.0002 (0.0016) time: 2.8528 data: 0.0061 max mem: 31630 Epoch: [32] [1860/5278] eta: 2:43:20 lr: 1.1279209387151908e-05 loss: 0.0364 (0.0416) loss_seg: 0.0360 (0.0412) loss_lansim: 0.0302 (0.0339) loss_contra: 0.0002 (0.0016) time: 2.8573 data: 0.0061 max mem: 31630 Epoch: [32] [1870/5278] eta: 2:42:51 lr: 1.127669435749361e-05 loss: 0.0369 (0.0416) loss_seg: 0.0365 (0.0412) loss_lansim: 0.0304 (0.0338) loss_contra: 0.0002 (0.0016) time: 2.8616 data: 0.0061 max mem: 31630 Epoch: [32] [1880/5278] eta: 2:42:22 lr: 1.127417926550882e-05 loss: 0.0371 (0.0416) loss_seg: 0.0367 (0.0412) loss_lansim: 0.0306 (0.0338) loss_contra: 0.0002 (0.0016) time: 2.8633 data: 0.0061 max mem: 31630 Epoch: [32] [1890/5278] eta: 2:41:54 lr: 1.1271664111180548e-05 loss: 0.0365 (0.0416) loss_seg: 0.0361 (0.0412) loss_lansim: 0.0304 (0.0338) loss_contra: 0.0002 (0.0016) time: 2.8661 data: 0.0061 max mem: 31630 Epoch: [32] [1900/5278] eta: 2:41:25 lr: 1.1269148894491793e-05 loss: 0.0365 (0.0416) loss_seg: 0.0361 (0.0412) loss_lansim: 0.0304 (0.0338) loss_contra: 0.0002 (0.0016) time: 2.8721 data: 0.0061 max mem: 31630 Epoch: [32] [1910/5278] eta: 2:40:58 lr: 1.1266633615425534e-05 loss: 0.0369 (0.0416) loss_seg: 0.0365 (0.0412) loss_lansim: 0.0304 (0.0338) loss_contra: 0.0002 (0.0016) time: 2.8771 data: 0.0061 max mem: 31630 Epoch: [32] [1920/5278] eta: 2:40:29 lr: 1.1264118273964754e-05 loss: 0.0357 (0.0415) loss_seg: 0.0354 (0.0412) loss_lansim: 0.0304 (0.0338) loss_contra: 0.0002 (0.0016) time: 2.8792 data: 0.0061 max mem: 31630 Epoch: [32] [1930/5278] eta: 2:40:00 lr: 1.1261602870092423e-05 loss: 0.0371 (0.0415) loss_seg: 0.0367 (0.0412) loss_lansim: 0.0304 (0.0338) loss_contra: 0.0002 (0.0016) time: 2.8794 data: 0.0060 max mem: 31630 Epoch: [32] [1940/5278] eta: 2:39:32 lr: 1.1259087403791512e-05 loss: 0.0371 (0.0415) loss_seg: 0.0367 (0.0411) loss_lansim: 0.0305 (0.0338) loss_contra: 0.0002 (0.0016) time: 2.8768 data: 0.0060 max mem: 31630 Epoch: [32] [1950/5278] eta: 2:39:03 lr: 1.1256571875044956e-05 loss: 0.0377 (0.0415) loss_seg: 0.0373 (0.0412) loss_lansim: 0.0305 (0.0338) loss_contra: 0.0002 (0.0016) time: 2.8761 data: 0.0060 max mem: 31630 Epoch: [32] [1960/5278] eta: 2:38:35 lr: 1.125405628383571e-05 loss: 0.0385 (0.0415) loss_seg: 0.0381 (0.0411) loss_lansim: 0.0305 (0.0338) loss_contra: 0.0002 (0.0016) time: 2.8780 data: 0.0060 max mem: 31630 Epoch: [32] [1970/5278] eta: 2:38:07 lr: 1.1251540630146707e-05 loss: 0.0365 (0.0415) loss_seg: 0.0362 (0.0411) loss_lansim: 0.0305 (0.0338) loss_contra: 0.0001 (0.0016) time: 2.8806 data: 0.0061 max mem: 31630 Epoch: [32] [1980/5278] eta: 2:37:38 lr: 1.1249024913960877e-05 loss: 0.0362 (0.0414) loss_seg: 0.0358 (0.0411) loss_lansim: 0.0309 (0.0338) loss_contra: 0.0001 (0.0017) time: 2.8822 data: 0.0061 max mem: 31630 Epoch: [32] [1990/5278] eta: 2:37:10 lr: 1.1246509135261127e-05 loss: 0.0365 (0.0414) loss_seg: 0.0362 (0.0410) loss_lansim: 0.0309 (0.0337) loss_contra: 0.0001 (0.0017) time: 2.8827 data: 0.0061 max mem: 31630 Epoch: [32] [2000/5278] eta: 2:36:41 lr: 1.124399329403037e-05 loss: 0.0369 (0.0414) loss_seg: 0.0365 (0.0411) loss_lansim: 0.0309 (0.0337) loss_contra: 0.0001 (0.0017) time: 2.8788 data: 0.0062 max mem: 31630 Epoch: [32] [2010/5278] eta: 2:36:11 lr: 1.1241477390251505e-05 loss: 0.0366 (0.0414) loss_seg: 0.0362 (0.0411) loss_lansim: 0.0309 (0.0337) loss_contra: 0.0001 (0.0017) time: 2.8719 data: 0.0062 max mem: 31630 Epoch: [32] [2020/5278] eta: 2:35:42 lr: 1.1238961423907429e-05 loss: 0.0371 (0.0414) loss_seg: 0.0368 (0.0411) loss_lansim: 0.0309 (0.0337) loss_contra: 0.0001 (0.0017) time: 2.8675 data: 0.0063 max mem: 31630 Epoch: [32] [2030/5278] eta: 2:35:14 lr: 1.1236445394981012e-05 loss: 0.0384 (0.0414) loss_seg: 0.0381 (0.0411) loss_lansim: 0.0305 (0.0337) loss_contra: 0.0001 (0.0017) time: 2.8679 data: 0.0064 max mem: 31630 Epoch: [32] [2040/5278] eta: 2:34:45 lr: 1.1233929303455129e-05 loss: 0.0387 (0.0414) loss_seg: 0.0383 (0.0411) loss_lansim: 0.0304 (0.0337) loss_contra: 0.0001 (0.0017) time: 2.8670 data: 0.0065 max mem: 31630 Epoch: [32] [2050/5278] eta: 2:34:16 lr: 1.1231413149312647e-05 loss: 0.0377 (0.0414) loss_seg: 0.0374 (0.0411) loss_lansim: 0.0305 (0.0337) loss_contra: 0.0002 (0.0017) time: 2.8635 data: 0.0065 max mem: 31630 Epoch: [32] [2060/5278] eta: 2:33:47 lr: 1.1228896932536423e-05 loss: 0.0366 (0.0414) loss_seg: 0.0363 (0.0410) loss_lansim: 0.0311 (0.0337) loss_contra: 0.0002 (0.0017) time: 2.8586 data: 0.0064 max mem: 31630 Epoch: [32] [2070/5278] eta: 2:33:18 lr: 1.1226380653109292e-05 loss: 0.0369 (0.0413) loss_seg: 0.0365 (0.0410) loss_lansim: 0.0314 (0.0337) loss_contra: 0.0002 (0.0017) time: 2.8528 data: 0.0064 max mem: 31630 Epoch: [32] [2080/5278] eta: 2:32:48 lr: 1.12238643110141e-05 loss: 0.0371 (0.0413) loss_seg: 0.0368 (0.0410) loss_lansim: 0.0314 (0.0337) loss_contra: 0.0003 (0.0016) time: 2.8484 data: 0.0064 max mem: 31630 Epoch: [32] [2090/5278] eta: 2:32:20 lr: 1.1221347906233668e-05 loss: 0.0386 (0.0414) loss_seg: 0.0383 (0.0410) loss_lansim: 0.0312 (0.0336) loss_contra: 0.0003 (0.0016) time: 2.8468 data: 0.0063 max mem: 31630 Epoch: [32] [2100/5278] eta: 2:31:51 lr: 1.121883143875082e-05 loss: 0.0376 (0.0414) loss_seg: 0.0372 (0.0410) loss_lansim: 0.0314 (0.0336) loss_contra: 0.0003 (0.0016) time: 2.8477 data: 0.0062 max mem: 31630 Epoch: [32] [2110/5278] eta: 2:31:22 lr: 1.1216314908548367e-05 loss: 0.0370 (0.0413) loss_seg: 0.0367 (0.0410) loss_lansim: 0.0315 (0.0336) loss_contra: 0.0002 (0.0016) time: 2.8488 data: 0.0062 max mem: 31630 Epoch: [32] [2120/5278] eta: 2:30:53 lr: 1.12137983156091e-05 loss: 0.0376 (0.0413) loss_seg: 0.0372 (0.0410) loss_lansim: 0.0316 (0.0336) loss_contra: 0.0002 (0.0016) time: 2.8495 data: 0.0061 max mem: 31630 Epoch: [32] [2130/5278] eta: 2:30:24 lr: 1.1211281659915816e-05 loss: 0.0382 (0.0414) loss_seg: 0.0378 (0.0410) loss_lansim: 0.0320 (0.0336) loss_contra: 0.0002 (0.0016) time: 2.8469 data: 0.0060 max mem: 31630 Epoch: [32] [2140/5278] eta: 2:29:55 lr: 1.1208764941451298e-05 loss: 0.0374 (0.0415) loss_seg: 0.0371 (0.0411) loss_lansim: 0.0317 (0.0336) loss_contra: 0.0002 (0.0016) time: 2.8451 data: 0.0060 max mem: 31630 Epoch: [32] [2150/5278] eta: 2:29:26 lr: 1.1206248160198324e-05 loss: 0.0385 (0.0415) loss_seg: 0.0382 (0.0411) loss_lansim: 0.0315 (0.0336) loss_contra: 0.0002 (0.0016) time: 2.8458 data: 0.0060 max mem: 31630 Epoch: [32] [2160/5278] eta: 2:28:57 lr: 1.1203731316139649e-05 loss: 0.0390 (0.0415) loss_seg: 0.0387 (0.0411) loss_lansim: 0.0311 (0.0336) loss_contra: 0.0002 (0.0016) time: 2.8489 data: 0.0060 max mem: 31630 Epoch: [32] [2170/5278] eta: 2:28:28 lr: 1.120121440925803e-05 loss: 0.0395 (0.0415) loss_seg: 0.0391 (0.0412) loss_lansim: 0.0312 (0.0336) loss_contra: 0.0002 (0.0016) time: 2.8509 data: 0.0060 max mem: 31630 Epoch: [32] [2180/5278] eta: 2:28:00 lr: 1.1198697439536218e-05 loss: 0.0391 (0.0415) loss_seg: 0.0387 (0.0411) loss_lansim: 0.0310 (0.0336) loss_contra: 0.0002 (0.0016) time: 2.8525 data: 0.0060 max mem: 31630 Epoch: [32] [2190/5278] eta: 2:27:31 lr: 1.1196180406956954e-05 loss: 0.0387 (0.0415) loss_seg: 0.0383 (0.0412) loss_lansim: 0.0313 (0.0336) loss_contra: 0.0001 (0.0016) time: 2.8541 data: 0.0060 max mem: 31630 Epoch: [32] [2200/5278] eta: 2:27:02 lr: 1.1193663311502956e-05 loss: 0.0391 (0.0415) loss_seg: 0.0387 (0.0412) loss_lansim: 0.0314 (0.0336) loss_contra: 0.0001 (0.0016) time: 2.8552 data: 0.0060 max mem: 31630 Epoch: [32] [2210/5278] eta: 2:26:34 lr: 1.1191146153156945e-05 loss: 0.0397 (0.0415) loss_seg: 0.0393 (0.0412) loss_lansim: 0.0314 (0.0336) loss_contra: 0.0001 (0.0016) time: 2.8571 data: 0.0060 max mem: 31630 Epoch: [32] [2220/5278] eta: 2:26:05 lr: 1.1188628931901635e-05 loss: 0.0395 (0.0415) loss_seg: 0.0392 (0.0412) loss_lansim: 0.0311 (0.0335) loss_contra: 0.0001 (0.0016) time: 2.8616 data: 0.0060 max mem: 31630 Epoch: [32] [2230/5278] eta: 2:25:37 lr: 1.1186111647719733e-05 loss: 0.0387 (0.0415) loss_seg: 0.0384 (0.0412) loss_lansim: 0.0314 (0.0335) loss_contra: 0.0001 (0.0016) time: 2.8661 data: 0.0059 max mem: 31630 Epoch: [32] [2240/5278] eta: 2:25:09 lr: 1.1183594300593917e-05 loss: 0.0387 (0.0415) loss_seg: 0.0384 (0.0411) loss_lansim: 0.0314 (0.0335) loss_contra: 0.0001 (0.0016) time: 2.8701 data: 0.0059 max mem: 31630 Epoch: [32] [2250/5278] eta: 2:24:40 lr: 1.1181076890506876e-05 loss: 0.0384 (0.0416) loss_seg: 0.0380 (0.0412) loss_lansim: 0.0309 (0.0335) loss_contra: 0.0001 (0.0016) time: 2.8730 data: 0.0059 max mem: 31630 Epoch: [32] [2260/5278] eta: 2:24:12 lr: 1.1178559417441283e-05 loss: 0.0385 (0.0416) loss_seg: 0.0382 (0.0412) loss_lansim: 0.0308 (0.0335) loss_contra: 0.0001 (0.0016) time: 2.8734 data: 0.0059 max mem: 31630 Epoch: [32] [2270/5278] eta: 2:23:43 lr: 1.1176041881379811e-05 loss: 0.0384 (0.0416) loss_seg: 0.0381 (0.0412) loss_lansim: 0.0314 (0.0335) loss_contra: 0.0001 (0.0016) time: 2.8750 data: 0.0059 max mem: 31630 Epoch: [32] [2280/5278] eta: 2:23:15 lr: 1.1173524282305105e-05 loss: 0.0385 (0.0416) loss_seg: 0.0382 (0.0412) loss_lansim: 0.0311 (0.0335) loss_contra: 0.0001 (0.0016) time: 2.8804 data: 0.0059 max mem: 31630 Epoch: [32] [2290/5278] eta: 2:22:47 lr: 1.1171006620199813e-05 loss: 0.0386 (0.0416) loss_seg: 0.0384 (0.0412) loss_lansim: 0.0311 (0.0335) loss_contra: 0.0001 (0.0016) time: 2.8830 data: 0.0059 max mem: 31630 Epoch: [32] [2300/5278] eta: 2:22:18 lr: 1.1168488895046575e-05 loss: 0.0387 (0.0416) loss_seg: 0.0385 (0.0412) loss_lansim: 0.0305 (0.0335) loss_contra: 0.0001 (0.0016) time: 2.8846 data: 0.0059 max mem: 31630 Epoch: [32] [2310/5278] eta: 2:21:49 lr: 1.1165971106828022e-05 loss: 0.0385 (0.0416) loss_seg: 0.0382 (0.0412) loss_lansim: 0.0300 (0.0334) loss_contra: 0.0002 (0.0016) time: 2.8845 data: 0.0059 max mem: 31630 Epoch: [32] [2320/5278] eta: 2:21:21 lr: 1.1163453255526766e-05 loss: 0.0386 (0.0416) loss_seg: 0.0382 (0.0412) loss_lansim: 0.0299 (0.0334) loss_contra: 0.0002 (0.0016) time: 2.8840 data: 0.0060 max mem: 31630 Epoch: [32] [2330/5278] eta: 2:20:52 lr: 1.116093534112542e-05 loss: 0.0386 (0.0416) loss_seg: 0.0382 (0.0412) loss_lansim: 0.0299 (0.0334) loss_contra: 0.0002 (0.0016) time: 2.8827 data: 0.0060 max mem: 31630 Epoch: [32] [2340/5278] eta: 2:20:24 lr: 1.1158417363606585e-05 loss: 0.0394 (0.0416) loss_seg: 0.0391 (0.0412) loss_lansim: 0.0300 (0.0334) loss_contra: 0.0001 (0.0016) time: 2.8829 data: 0.0061 max mem: 31630 Epoch: [32] [2350/5278] eta: 2:19:56 lr: 1.1155899322952853e-05 loss: 0.0391 (0.0416) loss_seg: 0.0388 (0.0412) loss_lansim: 0.0305 (0.0334) loss_contra: 0.0002 (0.0015) time: 2.8847 data: 0.0061 max mem: 31630 Epoch: [32] [2360/5278] eta: 2:19:27 lr: 1.115338121914681e-05 loss: 0.0391 (0.0415) loss_seg: 0.0388 (0.0412) loss_lansim: 0.0309 (0.0334) loss_contra: 0.0002 (0.0016) time: 2.8855 data: 0.0061 max mem: 31630 Epoch: [32] [2370/5278] eta: 2:18:58 lr: 1.1150863052171022e-05 loss: 0.0386 (0.0415) loss_seg: 0.0383 (0.0412) loss_lansim: 0.0309 (0.0334) loss_contra: 0.0002 (0.0016) time: 2.8839 data: 0.0061 max mem: 31630 Epoch: [32] [2380/5278] eta: 2:18:29 lr: 1.1148344822008053e-05 loss: 0.0389 (0.0415) loss_seg: 0.0386 (0.0412) loss_lansim: 0.0312 (0.0334) loss_contra: 0.0002 (0.0016) time: 2.8778 data: 0.0062 max mem: 31630 Epoch: [32] [2390/5278] eta: 2:18:00 lr: 1.1145826528640464e-05 loss: 0.0385 (0.0415) loss_seg: 0.0382 (0.0412) loss_lansim: 0.0316 (0.0334) loss_contra: 0.0002 (0.0016) time: 2.8723 data: 0.0062 max mem: 31630 Epoch: [32] [2400/5278] eta: 2:17:31 lr: 1.1143308172050802e-05 loss: 0.0384 (0.0415) loss_seg: 0.0381 (0.0412) loss_lansim: 0.0330 (0.0335) loss_contra: 0.0002 (0.0016) time: 2.8677 data: 0.0062 max mem: 31630 Epoch: [32] [2410/5278] eta: 2:17:03 lr: 1.1140789752221593e-05 loss: 0.0380 (0.0415) loss_seg: 0.0376 (0.0412) loss_lansim: 0.0341 (0.0335) loss_contra: 0.0002 (0.0016) time: 2.8659 data: 0.0062 max mem: 31630 Epoch: [32] [2420/5278] eta: 2:16:34 lr: 1.1138271269135372e-05 loss: 0.0369 (0.0415) loss_seg: 0.0365 (0.0412) loss_lansim: 0.0351 (0.0335) loss_contra: 0.0002 (0.0016) time: 2.8641 data: 0.0062 max mem: 31630 Epoch: [32] [2430/5278] eta: 2:16:05 lr: 1.1135752722774654e-05 loss: 0.0377 (0.0415) loss_seg: 0.0374 (0.0411) loss_lansim: 0.0355 (0.0335) loss_contra: 0.0002 (0.0016) time: 2.8614 data: 0.0062 max mem: 31630 Epoch: [32] [2440/5278] eta: 2:15:36 lr: 1.1133234113121955e-05 loss: 0.0369 (0.0415) loss_seg: 0.0365 (0.0411) loss_lansim: 0.0361 (0.0335) loss_contra: 0.0002 (0.0016) time: 2.8572 data: 0.0062 max mem: 31630 Epoch: [32] [2450/5278] eta: 2:15:07 lr: 1.1130715440159762e-05 loss: 0.0367 (0.0415) loss_seg: 0.0363 (0.0411) loss_lansim: 0.0361 (0.0335) loss_contra: 0.0003 (0.0016) time: 2.8513 data: 0.0061 max mem: 31630 Epoch: [32] [2460/5278] eta: 2:14:38 lr: 1.1128196703870573e-05 loss: 0.0369 (0.0415) loss_seg: 0.0365 (0.0411) loss_lansim: 0.0357 (0.0335) loss_contra: 0.0003 (0.0016) time: 2.8471 data: 0.0061 max mem: 31630 Epoch: [32] [2470/5278] eta: 2:14:09 lr: 1.1125677904236868e-05 loss: 0.0389 (0.0415) loss_seg: 0.0386 (0.0411) loss_lansim: 0.0360 (0.0335) loss_contra: 0.0002 (0.0016) time: 2.8474 data: 0.0061 max mem: 31630 Epoch: [32] [2480/5278] eta: 2:13:40 lr: 1.1123159041241124e-05 loss: 0.0389 (0.0415) loss_seg: 0.0385 (0.0411) loss_lansim: 0.0361 (0.0335) loss_contra: 0.0002 (0.0016) time: 2.8475 data: 0.0061 max mem: 31630 Epoch: [32] [2490/5278] eta: 2:13:11 lr: 1.1120640114865793e-05 loss: 0.0392 (0.0415) loss_seg: 0.0388 (0.0411) loss_lansim: 0.0355 (0.0335) loss_contra: 0.0002 (0.0017) time: 2.8449 data: 0.0060 max mem: 31630 Epoch: [32] [2500/5278] eta: 2:12:42 lr: 1.1118121125093334e-05 loss: 0.0389 (0.0415) loss_seg: 0.0386 (0.0411) loss_lansim: 0.0350 (0.0335) loss_contra: 0.0002 (0.0017) time: 2.8428 data: 0.0060 max mem: 31630 Epoch: [32] [2510/5278] eta: 2:12:13 lr: 1.111560207190619e-05 loss: 0.0387 (0.0415) loss_seg: 0.0384 (0.0412) loss_lansim: 0.0342 (0.0335) loss_contra: 0.0002 (0.0017) time: 2.8389 data: 0.0060 max mem: 31630 Epoch: [32] [2520/5278] eta: 2:11:44 lr: 1.1113082955286803e-05 loss: 0.0392 (0.0415) loss_seg: 0.0388 (0.0412) loss_lansim: 0.0338 (0.0335) loss_contra: 0.0003 (0.0017) time: 2.8336 data: 0.0059 max mem: 31630 Epoch: [32] [2530/5278] eta: 2:11:14 lr: 1.1110563775217585e-05 loss: 0.0391 (0.0415) loss_seg: 0.0386 (0.0412) loss_lansim: 0.0338 (0.0335) loss_contra: 0.0002 (0.0017) time: 2.8297 data: 0.0059 max mem: 31630 Epoch: [32] [2540/5278] eta: 2:10:45 lr: 1.110804453168096e-05 loss: 0.0389 (0.0415) loss_seg: 0.0384 (0.0412) loss_lansim: 0.0336 (0.0335) loss_contra: 0.0002 (0.0018) time: 2.8271 data: 0.0059 max mem: 31630 Epoch: [32] [2550/5278] eta: 2:10:16 lr: 1.1105525224659332e-05 loss: 0.0389 (0.0415) loss_seg: 0.0384 (0.0411) loss_lansim: 0.0329 (0.0335) loss_contra: 0.0002 (0.0018) time: 2.8259 data: 0.0059 max mem: 31630 Epoch: [32] [2560/5278] eta: 2:09:47 lr: 1.1103005854135107e-05 loss: 0.0389 (0.0415) loss_seg: 0.0384 (0.0411) loss_lansim: 0.0333 (0.0335) loss_contra: 0.0002 (0.0018) time: 2.8246 data: 0.0059 max mem: 31630 Epoch: [32] [2570/5278] eta: 2:09:18 lr: 1.110048642009066e-05 loss: 0.0375 (0.0415) loss_seg: 0.0372 (0.0411) loss_lansim: 0.0336 (0.0335) loss_contra: 0.0003 (0.0018) time: 2.8228 data: 0.0058 max mem: 31630 Epoch: [32] [2580/5278] eta: 2:08:50 lr: 1.1097966922508379e-05 loss: 0.0375 (0.0415) loss_seg: 0.0372 (0.0412) loss_lansim: 0.0346 (0.0336) loss_contra: 0.0003 (0.0018) time: 2.8291 data: 0.0058 max mem: 31630 Epoch: [32] [2590/5278] eta: 2:08:22 lr: 1.1095447361370628e-05 loss: 0.0370 (0.0415) loss_seg: 0.0366 (0.0412) loss_lansim: 0.0350 (0.0336) loss_contra: 0.0003 (0.0018) time: 2.8371 data: 0.0059 max mem: 31630 Epoch: [32] [2600/5278] eta: 2:07:53 lr: 1.109292773665977e-05 loss: 0.0370 (0.0415) loss_seg: 0.0366 (0.0411) loss_lansim: 0.0350 (0.0336) loss_contra: 0.0003 (0.0019) time: 2.8475 data: 0.0059 max mem: 31630 Epoch: [32] [2610/5278] eta: 2:07:25 lr: 1.1090408048358161e-05 loss: 0.0368 (0.0415) loss_seg: 0.0365 (0.0411) loss_lansim: 0.0342 (0.0336) loss_contra: 0.0003 (0.0019) time: 2.8576 data: 0.0059 max mem: 31630 Epoch: [32] [2620/5278] eta: 2:06:57 lr: 1.1087888296448133e-05 loss: 0.0368 (0.0415) loss_seg: 0.0365 (0.0411) loss_lansim: 0.0339 (0.0336) loss_contra: 0.0003 (0.0019) time: 2.8679 data: 0.0059 max mem: 31630 Epoch: [32] [2630/5278] eta: 2:06:29 lr: 1.1085368480912022e-05 loss: 0.0369 (0.0415) loss_seg: 0.0365 (0.0411) loss_lansim: 0.0339 (0.0336) loss_contra: 0.0002 (0.0019) time: 2.8780 data: 0.0059 max mem: 31630 Epoch: [32] [2640/5278] eta: 2:06:01 lr: 1.1082848601732151e-05 loss: 0.0370 (0.0415) loss_seg: 0.0366 (0.0411) loss_lansim: 0.0339 (0.0336) loss_contra: 0.0002 (0.0019) time: 2.8871 data: 0.0060 max mem: 31630 Epoch: [32] [2650/5278] eta: 2:05:32 lr: 1.1080328658890839e-05 loss: 0.0379 (0.0415) loss_seg: 0.0377 (0.0411) loss_lansim: 0.0338 (0.0336) loss_contra: 0.0002 (0.0019) time: 2.8954 data: 0.0060 max mem: 31630 Epoch: [32] [2660/5278] eta: 2:05:04 lr: 1.107780865237038e-05 loss: 0.0382 (0.0415) loss_seg: 0.0379 (0.0411) loss_lansim: 0.0339 (0.0336) loss_contra: 0.0002 (0.0019) time: 2.9062 data: 0.0060 max mem: 31630 Epoch: [32] [2670/5278] eta: 2:04:37 lr: 1.107528858215307e-05 loss: 0.0382 (0.0415) loss_seg: 0.0378 (0.0411) loss_lansim: 0.0337 (0.0336) loss_contra: 0.0002 (0.0019) time: 2.9169 data: 0.0061 max mem: 31630 Epoch: [32] [2680/5278] eta: 2:04:08 lr: 1.1072768448221198e-05 loss: 0.0384 (0.0415) loss_seg: 0.0379 (0.0411) loss_lansim: 0.0337 (0.0336) loss_contra: 0.0002 (0.0019) time: 2.9137 data: 0.0061 max mem: 31630 Epoch: [32] [2690/5278] eta: 2:03:39 lr: 1.1070248250557048e-05 loss: 0.0383 (0.0415) loss_seg: 0.0379 (0.0411) loss_lansim: 0.0333 (0.0336) loss_contra: 0.0002 (0.0019) time: 2.9112 data: 0.0061 max mem: 31630 Epoch: [32] [2700/5278] eta: 2:03:11 lr: 1.106772798914287e-05 loss: 0.0403 (0.0416) loss_seg: 0.0400 (0.0412) loss_lansim: 0.0337 (0.0336) loss_contra: 0.0002 (0.0019) time: 2.9063 data: 0.0062 max mem: 31630 Epoch: [32] [2710/5278] eta: 2:02:42 lr: 1.1065207663960926e-05 loss: 0.0416 (0.0416) loss_seg: 0.0413 (0.0412) loss_lansim: 0.0341 (0.0336) loss_contra: 0.0002 (0.0019) time: 2.9030 data: 0.0062 max mem: 31630 Epoch: [32] [2720/5278] eta: 2:02:14 lr: 1.1062687274993467e-05 loss: 0.0405 (0.0416) loss_seg: 0.0402 (0.0412) loss_lansim: 0.0344 (0.0336) loss_contra: 0.0002 (0.0019) time: 2.9004 data: 0.0063 max mem: 31630 Epoch: [32] [2730/5278] eta: 2:01:45 lr: 1.1060166822222737e-05 loss: 0.0397 (0.0416) loss_seg: 0.0394 (0.0412) loss_lansim: 0.0347 (0.0336) loss_contra: 0.0002 (0.0019) time: 2.8986 data: 0.0064 max mem: 31630 Epoch: [32] [2740/5278] eta: 2:01:16 lr: 1.1057646305630951e-05 loss: 0.0398 (0.0417) loss_seg: 0.0394 (0.0414) loss_lansim: 0.0344 (0.0336) loss_contra: 0.0003 (0.0019) time: 2.8925 data: 0.0064 max mem: 31630 Epoch: [32] [2750/5278] eta: 2:00:47 lr: 1.1055125725200335e-05 loss: 0.0405 (0.0417) loss_seg: 0.0402 (0.0414) loss_lansim: 0.0347 (0.0336) loss_contra: 0.0003 (0.0019) time: 2.8848 data: 0.0064 max mem: 31630 Epoch: [32] [2760/5278] eta: 2:00:18 lr: 1.1052605080913097e-05 loss: 0.0405 (0.0417) loss_seg: 0.0402 (0.0414) loss_lansim: 0.0344 (0.0336) loss_contra: 0.0002 (0.0019) time: 2.8739 data: 0.0064 max mem: 31630 Epoch: [32] [2770/5278] eta: 1:59:49 lr: 1.1050084372751445e-05 loss: 0.0405 (0.0418) loss_seg: 0.0402 (0.0414) loss_lansim: 0.0349 (0.0336) loss_contra: 0.0002 (0.0019) time: 2.8626 data: 0.0063 max mem: 31630 Epoch: [32] [2780/5278] eta: 1:59:20 lr: 1.1047563600697556e-05 loss: 0.0405 (0.0418) loss_seg: 0.0402 (0.0414) loss_lansim: 0.0347 (0.0336) loss_contra: 0.0002 (0.0020) time: 2.8575 data: 0.0063 max mem: 31630 Epoch: [32] [2790/5278] eta: 1:58:52 lr: 1.104504276473362e-05 loss: 0.0412 (0.0418) loss_seg: 0.0409 (0.0414) loss_lansim: 0.0345 (0.0336) loss_contra: 0.0002 (0.0020) time: 2.8545 data: 0.0063 max mem: 31630 Epoch: [32] [2800/5278] eta: 1:58:23 lr: 1.1042521864841809e-05 loss: 0.0415 (0.0418) loss_seg: 0.0412 (0.0414) loss_lansim: 0.0344 (0.0336) loss_contra: 0.0002 (0.0020) time: 2.8511 data: 0.0062 max mem: 31630 Epoch: [32] [2810/5278] eta: 1:57:54 lr: 1.1040000901004288e-05 loss: 0.0415 (0.0418) loss_seg: 0.0412 (0.0414) loss_lansim: 0.0343 (0.0336) loss_contra: 0.0002 (0.0020) time: 2.8459 data: 0.0061 max mem: 31630 Epoch: [32] [2820/5278] eta: 1:57:25 lr: 1.1037479873203199e-05 loss: 0.0415 (0.0418) loss_seg: 0.0412 (0.0414) loss_lansim: 0.0349 (0.0336) loss_contra: 0.0002 (0.0020) time: 2.8408 data: 0.0060 max mem: 31630 Epoch: [32] [2830/5278] eta: 1:56:56 lr: 1.1034958781420693e-05 loss: 0.0420 (0.0418) loss_seg: 0.0416 (0.0414) loss_lansim: 0.0351 (0.0336) loss_contra: 0.0002 (0.0019) time: 2.8361 data: 0.0059 max mem: 31630 Epoch: [32] [2840/5278] eta: 1:56:27 lr: 1.1032437625638903e-05 loss: 0.0420 (0.0418) loss_seg: 0.0416 (0.0415) loss_lansim: 0.0351 (0.0336) loss_contra: 0.0002 (0.0019) time: 2.8357 data: 0.0059 max mem: 31630 Epoch: [32] [2850/5278] eta: 1:55:58 lr: 1.1029916405839951e-05 loss: 0.0420 (0.0418) loss_seg: 0.0416 (0.0415) loss_lansim: 0.0353 (0.0337) loss_contra: 0.0002 (0.0019) time: 2.8394 data: 0.0059 max mem: 31630 Epoch: [32] [2860/5278] eta: 1:55:30 lr: 1.1027395122005962e-05 loss: 0.0418 (0.0418) loss_seg: 0.0414 (0.0415) loss_lansim: 0.0351 (0.0337) loss_contra: 0.0002 (0.0020) time: 2.8479 data: 0.0060 max mem: 31630 Epoch: [32] [2870/5278] eta: 1:55:02 lr: 1.1024873774119026e-05 loss: 0.0423 (0.0419) loss_seg: 0.0419 (0.0415) loss_lansim: 0.0341 (0.0337) loss_contra: 0.0002 (0.0020) time: 2.8542 data: 0.0060 max mem: 31630 Epoch: [32] [2880/5278] eta: 1:54:33 lr: 1.1022352362161244e-05 loss: 0.0430 (0.0419) loss_seg: 0.0425 (0.0415) loss_lansim: 0.0351 (0.0337) loss_contra: 0.0002 (0.0020) time: 2.8604 data: 0.0061 max mem: 31630 Epoch: [32] [2890/5278] eta: 1:54:05 lr: 1.1019830886114705e-05 loss: 0.0430 (0.0419) loss_seg: 0.0425 (0.0415) loss_lansim: 0.0351 (0.0337) loss_contra: 0.0002 (0.0020) time: 2.8654 data: 0.0061 max mem: 31630 Epoch: [32] [2900/5278] eta: 1:53:36 lr: 1.1017309345961488e-05 loss: 0.0414 (0.0419) loss_seg: 0.0411 (0.0415) loss_lansim: 0.0351 (0.0337) loss_contra: 0.0002 (0.0020) time: 2.8712 data: 0.0062 max mem: 31630 Epoch: [32] [2910/5278] eta: 1:53:08 lr: 1.101478774168365e-05 loss: 0.0414 (0.0419) loss_seg: 0.0411 (0.0415) loss_lansim: 0.0351 (0.0337) loss_contra: 0.0002 (0.0020) time: 2.8786 data: 0.0062 max mem: 31630 Epoch: [32] [2920/5278] eta: 1:52:40 lr: 1.1012266073263256e-05 loss: 0.0414 (0.0419) loss_seg: 0.0411 (0.0415) loss_lansim: 0.0351 (0.0337) loss_contra: 0.0002 (0.0019) time: 2.8869 data: 0.0062 max mem: 31630 Epoch: [32] [2930/5278] eta: 1:52:12 lr: 1.100974434068235e-05 loss: 0.0407 (0.0419) loss_seg: 0.0404 (0.0415) loss_lansim: 0.0344 (0.0337) loss_contra: 0.0002 (0.0020) time: 2.8966 data: 0.0062 max mem: 31630 Epoch: [32] [2940/5278] eta: 1:51:44 lr: 1.100722254392298e-05 loss: 0.0398 (0.0419) loss_seg: 0.0395 (0.0415) loss_lansim: 0.0347 (0.0337) loss_contra: 0.0002 (0.0020) time: 2.9047 data: 0.0064 max mem: 31630 Epoch: [32] [2950/5278] eta: 1:51:15 lr: 1.100470068296716e-05 loss: 0.0402 (0.0419) loss_seg: 0.0398 (0.0415) loss_lansim: 0.0344 (0.0337) loss_contra: 0.0003 (0.0020) time: 2.9106 data: 0.0064 max mem: 31630 Epoch: [32] [2960/5278] eta: 1:50:47 lr: 1.1002178757796913e-05 loss: 0.0402 (0.0419) loss_seg: 0.0398 (0.0415) loss_lansim: 0.0349 (0.0337) loss_contra: 0.0003 (0.0020) time: 2.9086 data: 0.0064 max mem: 31630 Epoch: [32] [2970/5278] eta: 1:50:18 lr: 1.0999656768394253e-05 loss: 0.0398 (0.0419) loss_seg: 0.0395 (0.0415) loss_lansim: 0.0349 (0.0337) loss_contra: 0.0002 (0.0020) time: 2.9073 data: 0.0064 max mem: 31630 Epoch: [32] [2980/5278] eta: 1:49:50 lr: 1.0997134714741183e-05 loss: 0.0397 (0.0419) loss_seg: 0.0393 (0.0415) loss_lansim: 0.0353 (0.0337) loss_contra: 0.0003 (0.0020) time: 2.9066 data: 0.0063 max mem: 31630 Epoch: [32] [2990/5278] eta: 1:49:21 lr: 1.0994612596819683e-05 loss: 0.0393 (0.0418) loss_seg: 0.0389 (0.0415) loss_lansim: 0.0358 (0.0337) loss_contra: 0.0002 (0.0020) time: 2.9079 data: 0.0062 max mem: 31630 Epoch: [32] [3000/5278] eta: 1:48:53 lr: 1.0992090414611737e-05 loss: 0.0379 (0.0418) loss_seg: 0.0375 (0.0415) loss_lansim: 0.0354 (0.0337) loss_contra: 0.0002 (0.0020) time: 2.9062 data: 0.0062 max mem: 31630 Epoch: [32] [3010/5278] eta: 1:48:24 lr: 1.0989568168099316e-05 loss: 0.0377 (0.0418) loss_seg: 0.0373 (0.0414) loss_lansim: 0.0359 (0.0338) loss_contra: 0.0002 (0.0020) time: 2.9032 data: 0.0062 max mem: 31630 Epoch: [32] [3020/5278] eta: 1:47:55 lr: 1.098704585726439e-05 loss: 0.0379 (0.0418) loss_seg: 0.0375 (0.0414) loss_lansim: 0.0358 (0.0338) loss_contra: 0.0002 (0.0020) time: 2.8980 data: 0.0062 max mem: 31630 Epoch: [32] [3030/5278] eta: 1:47:27 lr: 1.0984523482088896e-05 loss: 0.0374 (0.0418) loss_seg: 0.0371 (0.0414) loss_lansim: 0.0359 (0.0338) loss_contra: 0.0001 (0.0019) time: 2.8911 data: 0.0061 max mem: 31630 Epoch: [32] [3040/5278] eta: 1:46:58 lr: 1.0982001042554781e-05 loss: 0.0374 (0.0418) loss_seg: 0.0371 (0.0414) loss_lansim: 0.0358 (0.0338) loss_contra: 0.0001 (0.0019) time: 2.8890 data: 0.0060 max mem: 31630 Epoch: [32] [3050/5278] eta: 1:46:30 lr: 1.097947853864398e-05 loss: 0.0364 (0.0418) loss_seg: 0.0360 (0.0414) loss_lansim: 0.0354 (0.0338) loss_contra: 0.0001 (0.0019) time: 2.8872 data: 0.0060 max mem: 31630 Epoch: [32] [3060/5278] eta: 1:46:02 lr: 1.0976955970338417e-05 loss: 0.0357 (0.0418) loss_seg: 0.0353 (0.0414) loss_lansim: 0.0347 (0.0338) loss_contra: 0.0001 (0.0019) time: 2.8889 data: 0.0060 max mem: 31630 Epoch: [32] [3070/5278] eta: 1:45:33 lr: 1.0974433337619999e-05 loss: 0.0357 (0.0418) loss_seg: 0.0353 (0.0415) loss_lansim: 0.0346 (0.0338) loss_contra: 0.0001 (0.0019) time: 2.8927 data: 0.0060 max mem: 31630 Epoch: [32] [3080/5278] eta: 1:45:05 lr: 1.097191064047063e-05 loss: 0.0364 (0.0418) loss_seg: 0.0360 (0.0415) loss_lansim: 0.0340 (0.0338) loss_contra: 0.0001 (0.0019) time: 2.8925 data: 0.0059 max mem: 31630 Epoch: [32] [3090/5278] eta: 1:44:36 lr: 1.0969387878872204e-05 loss: 0.0364 (0.0418) loss_seg: 0.0360 (0.0415) loss_lansim: 0.0335 (0.0338) loss_contra: 0.0001 (0.0019) time: 2.8879 data: 0.0059 max mem: 31630 Epoch: [32] [3100/5278] eta: 1:44:07 lr: 1.0966865052806608e-05 loss: 0.0365 (0.0418) loss_seg: 0.0362 (0.0415) loss_lansim: 0.0343 (0.0338) loss_contra: 0.0001 (0.0019) time: 2.8862 data: 0.0060 max mem: 31630 Epoch: [32] [3110/5278] eta: 1:43:39 lr: 1.0964342162255716e-05 loss: 0.0374 (0.0418) loss_seg: 0.0371 (0.0415) loss_lansim: 0.0338 (0.0338) loss_contra: 0.0001 (0.0019) time: 2.8858 data: 0.0060 max mem: 31630 Epoch: [32] [3120/5278] eta: 1:43:09 lr: 1.0961819207201387e-05 loss: 0.0373 (0.0418) loss_seg: 0.0369 (0.0415) loss_lansim: 0.0338 (0.0338) loss_contra: 0.0001 (0.0019) time: 2.8797 data: 0.0059 max mem: 31630 Epoch: [32] [3130/5278] eta: 1:42:41 lr: 1.0959296187625476e-05 loss: 0.0373 (0.0418) loss_seg: 0.0369 (0.0415) loss_lansim: 0.0338 (0.0338) loss_contra: 0.0001 (0.0019) time: 2.8810 data: 0.0059 max mem: 31630 Epoch: [32] [3140/5278] eta: 1:42:12 lr: 1.0956773103509831e-05 loss: 0.0373 (0.0418) loss_seg: 0.0369 (0.0415) loss_lansim: 0.0337 (0.0338) loss_contra: 0.0001 (0.0019) time: 2.8783 data: 0.0059 max mem: 31630 Epoch: [32] [3150/5278] eta: 1:41:44 lr: 1.095424995483629e-05 loss: 0.0380 (0.0418) loss_seg: 0.0378 (0.0415) loss_lansim: 0.0340 (0.0338) loss_contra: 0.0001 (0.0019) time: 2.8772 data: 0.0059 max mem: 31630 Epoch: [32] [3160/5278] eta: 1:41:15 lr: 1.0951726741586668e-05 loss: 0.0380 (0.0418) loss_seg: 0.0378 (0.0414) loss_lansim: 0.0340 (0.0338) loss_contra: 0.0001 (0.0019) time: 2.8747 data: 0.0059 max mem: 31630 Epoch: [32] [3170/5278] eta: 1:40:47 lr: 1.0949203463742787e-05 loss: 0.0380 (0.0418) loss_seg: 0.0378 (0.0414) loss_lansim: 0.0337 (0.0338) loss_contra: 0.0001 (0.0019) time: 2.8700 data: 0.0059 max mem: 31630 Epoch: [32] [3180/5278] eta: 1:40:18 lr: 1.0946680121286451e-05 loss: 0.0375 (0.0418) loss_seg: 0.0371 (0.0414) loss_lansim: 0.0342 (0.0338) loss_contra: 0.0001 (0.0019) time: 2.8682 data: 0.0059 max mem: 31630 Epoch: [32] [3190/5278] eta: 1:39:49 lr: 1.0944156714199462e-05 loss: 0.0375 (0.0418) loss_seg: 0.0371 (0.0414) loss_lansim: 0.0345 (0.0338) loss_contra: 0.0001 (0.0019) time: 2.8731 data: 0.0059 max mem: 31630 Epoch: [32] [3200/5278] eta: 1:39:21 lr: 1.0941633242463595e-05 loss: 0.0375 (0.0418) loss_seg: 0.0371 (0.0414) loss_lansim: 0.0342 (0.0338) loss_contra: 0.0001 (0.0019) time: 2.8770 data: 0.0059 max mem: 31630 Epoch: [32] [3210/5278] eta: 1:38:52 lr: 1.0939109706060632e-05 loss: 0.0372 (0.0418) loss_seg: 0.0369 (0.0414) loss_lansim: 0.0343 (0.0338) loss_contra: 0.0001 (0.0019) time: 2.8798 data: 0.0058 max mem: 31630 Epoch: [32] [3220/5278] eta: 1:38:24 lr: 1.0936586104972339e-05 loss: 0.0375 (0.0418) loss_seg: 0.0371 (0.0414) loss_lansim: 0.0343 (0.0338) loss_contra: 0.0002 (0.0019) time: 2.8861 data: 0.0058 max mem: 31630 Epoch: [32] [3230/5278] eta: 1:37:55 lr: 1.0934062439180478e-05 loss: 0.0375 (0.0417) loss_seg: 0.0371 (0.0414) loss_lansim: 0.0343 (0.0338) loss_contra: 0.0002 (0.0019) time: 2.8855 data: 0.0058 max mem: 31630 Epoch: [32] [3240/5278] eta: 1:37:26 lr: 1.0931538708666786e-05 loss: 0.0377 (0.0418) loss_seg: 0.0374 (0.0414) loss_lansim: 0.0343 (0.0338) loss_contra: 0.0002 (0.0019) time: 2.8807 data: 0.0058 max mem: 31630 Epoch: [32] [3250/5278] eta: 1:36:57 lr: 1.0929014913413003e-05 loss: 0.0377 (0.0418) loss_seg: 0.0374 (0.0414) loss_lansim: 0.0338 (0.0338) loss_contra: 0.0002 (0.0019) time: 2.8739 data: 0.0058 max mem: 31630 Epoch: [32] [3260/5278] eta: 1:36:29 lr: 1.0926491053400858e-05 loss: 0.0384 (0.0418) loss_seg: 0.0381 (0.0414) loss_lansim: 0.0337 (0.0338) loss_contra: 0.0002 (0.0019) time: 2.8726 data: 0.0058 max mem: 31630 Epoch: [32] [3270/5278] eta: 1:36:00 lr: 1.0923967128612074e-05 loss: 0.0375 (0.0417) loss_seg: 0.0371 (0.0414) loss_lansim: 0.0337 (0.0338) loss_contra: 0.0002 (0.0019) time: 2.8712 data: 0.0058 max mem: 31630 Epoch: [32] [3280/5278] eta: 1:35:31 lr: 1.0921443139028347e-05 loss: 0.0370 (0.0417) loss_seg: 0.0367 (0.0414) loss_lansim: 0.0331 (0.0338) loss_contra: 0.0002 (0.0019) time: 2.8671 data: 0.0057 max mem: 31630 Epoch: [32] [3290/5278] eta: 1:35:02 lr: 1.0918919084631377e-05 loss: 0.0384 (0.0417) loss_seg: 0.0381 (0.0414) loss_lansim: 0.0330 (0.0338) loss_contra: 0.0002 (0.0019) time: 2.8586 data: 0.0058 max mem: 31630 Epoch: [32] [3300/5278] eta: 1:34:33 lr: 1.0916394965402855e-05 loss: 0.0384 (0.0418) loss_seg: 0.0381 (0.0415) loss_lansim: 0.0331 (0.0338) loss_contra: 0.0002 (0.0019) time: 2.8515 data: 0.0058 max mem: 31630 Epoch: [32] [3310/5278] eta: 1:34:04 lr: 1.0913870781324467e-05 loss: 0.0384 (0.0418) loss_seg: 0.0381 (0.0415) loss_lansim: 0.0330 (0.0338) loss_contra: 0.0001 (0.0019) time: 2.8452 data: 0.0058 max mem: 31630 Epoch: [32] [3320/5278] eta: 1:33:35 lr: 1.0911346532377862e-05 loss: 0.0392 (0.0418) loss_seg: 0.0388 (0.0415) loss_lansim: 0.0329 (0.0338) loss_contra: 0.0001 (0.0019) time: 2.8438 data: 0.0059 max mem: 31630 Epoch: [32] [3330/5278] eta: 1:33:07 lr: 1.090882221854471e-05 loss: 0.0392 (0.0418) loss_seg: 0.0389 (0.0415) loss_lansim: 0.0330 (0.0338) loss_contra: 0.0002 (0.0019) time: 2.8422 data: 0.0059 max mem: 31630 Epoch: [32] [3340/5278] eta: 1:32:38 lr: 1.0906297839806658e-05 loss: 0.0391 (0.0418) loss_seg: 0.0388 (0.0415) loss_lansim: 0.0330 (0.0338) loss_contra: 0.0002 (0.0019) time: 2.8443 data: 0.0060 max mem: 31630 Epoch: [32] [3350/5278] eta: 1:32:09 lr: 1.0903773396145341e-05 loss: 0.0387 (0.0418) loss_seg: 0.0383 (0.0414) loss_lansim: 0.0330 (0.0338) loss_contra: 0.0001 (0.0019) time: 2.8451 data: 0.0060 max mem: 31630 Epoch: [32] [3360/5278] eta: 1:31:40 lr: 1.0901248887542396e-05 loss: 0.0387 (0.0418) loss_seg: 0.0383 (0.0414) loss_lansim: 0.0325 (0.0338) loss_contra: 0.0002 (0.0018) time: 2.8411 data: 0.0060 max mem: 31630 Epoch: [32] [3370/5278] eta: 1:31:11 lr: 1.0898724313979428e-05 loss: 0.0387 (0.0418) loss_seg: 0.0383 (0.0414) loss_lansim: 0.0323 (0.0338) loss_contra: 0.0002 (0.0018) time: 2.8377 data: 0.0061 max mem: 31630 Epoch: [32] [3380/5278] eta: 1:30:42 lr: 1.0896199675438055e-05 loss: 0.0392 (0.0418) loss_seg: 0.0388 (0.0414) loss_lansim: 0.0327 (0.0338) loss_contra: 0.0002 (0.0018) time: 2.8395 data: 0.0061 max mem: 31630 Epoch: [32] [3390/5278] eta: 1:30:14 lr: 1.089367497189987e-05 loss: 0.0387 (0.0418) loss_seg: 0.0383 (0.0414) loss_lansim: 0.0327 (0.0338) loss_contra: 0.0002 (0.0018) time: 2.8435 data: 0.0060 max mem: 31630 Epoch: [32] [3400/5278] eta: 1:29:45 lr: 1.089115020334647e-05 loss: 0.0379 (0.0417) loss_seg: 0.0375 (0.0414) loss_lansim: 0.0327 (0.0338) loss_contra: 0.0002 (0.0018) time: 2.8454 data: 0.0060 max mem: 31630 Epoch: [32] [3410/5278] eta: 1:29:16 lr: 1.0888625369759422e-05 loss: 0.0379 (0.0417) loss_seg: 0.0375 (0.0414) loss_lansim: 0.0327 (0.0338) loss_contra: 0.0002 (0.0018) time: 2.8459 data: 0.0060 max mem: 31630 Epoch: [32] [3420/5278] eta: 1:28:47 lr: 1.0886100471120302e-05 loss: 0.0378 (0.0417) loss_seg: 0.0374 (0.0414) loss_lansim: 0.0334 (0.0338) loss_contra: 0.0002 (0.0018) time: 2.8471 data: 0.0059 max mem: 31630 Epoch: [32] [3430/5278] eta: 1:28:19 lr: 1.0883575507410664e-05 loss: 0.0372 (0.0417) loss_seg: 0.0368 (0.0414) loss_lansim: 0.0334 (0.0338) loss_contra: 0.0002 (0.0018) time: 2.8497 data: 0.0059 max mem: 31630 Epoch: [32] [3440/5278] eta: 1:27:50 lr: 1.0881050478612067e-05 loss: 0.0375 (0.0417) loss_seg: 0.0372 (0.0414) loss_lansim: 0.0335 (0.0338) loss_contra: 0.0002 (0.0018) time: 2.8539 data: 0.0058 max mem: 31630 Epoch: [32] [3450/5278] eta: 1:27:22 lr: 1.0878525384706035e-05 loss: 0.0371 (0.0417) loss_seg: 0.0368 (0.0414) loss_lansim: 0.0338 (0.0338) loss_contra: 0.0001 (0.0018) time: 2.8570 data: 0.0058 max mem: 31630 Epoch: [32] [3460/5278] eta: 1:26:53 lr: 1.0876000225674104e-05 loss: 0.0378 (0.0417) loss_seg: 0.0374 (0.0414) loss_lansim: 0.0341 (0.0338) loss_contra: 0.0002 (0.0018) time: 2.8658 data: 0.0058 max mem: 31630 Epoch: [32] [3470/5278] eta: 1:26:25 lr: 1.0873475001497793e-05 loss: 0.0380 (0.0417) loss_seg: 0.0376 (0.0414) loss_lansim: 0.0344 (0.0338) loss_contra: 0.0001 (0.0018) time: 2.8715 data: 0.0058 max mem: 31630 Epoch: [32] [3480/5278] eta: 1:25:56 lr: 1.0870949712158616e-05 loss: 0.0380 (0.0417) loss_seg: 0.0376 (0.0413) loss_lansim: 0.0345 (0.0338) loss_contra: 0.0002 (0.0018) time: 2.8747 data: 0.0057 max mem: 31630 Epoch: [32] [3490/5278] eta: 1:25:27 lr: 1.0868424357638057e-05 loss: 0.0373 (0.0417) loss_seg: 0.0369 (0.0413) loss_lansim: 0.0344 (0.0338) loss_contra: 0.0001 (0.0018) time: 2.8758 data: 0.0058 max mem: 31630 Epoch: [32] [3500/5278] eta: 1:24:59 lr: 1.0865898937917616e-05 loss: 0.0373 (0.0417) loss_seg: 0.0369 (0.0413) loss_lansim: 0.0339 (0.0338) loss_contra: 0.0001 (0.0018) time: 2.8790 data: 0.0058 max mem: 31630 Epoch: [32] [3510/5278] eta: 1:24:30 lr: 1.0863373452978766e-05 loss: 0.0378 (0.0417) loss_seg: 0.0375 (0.0413) loss_lansim: 0.0336 (0.0338) loss_contra: 0.0001 (0.0018) time: 2.8858 data: 0.0058 max mem: 31630 Epoch: [32] [3520/5278] eta: 1:24:02 lr: 1.0860847902802984e-05 loss: 0.0372 (0.0417) loss_seg: 0.0368 (0.0413) loss_lansim: 0.0333 (0.0338) loss_contra: 0.0001 (0.0018) time: 2.8859 data: 0.0059 max mem: 31630 Epoch: [32] [3530/5278] eta: 1:23:33 lr: 1.0858322287371717e-05 loss: 0.0368 (0.0417) loss_seg: 0.0364 (0.0413) loss_lansim: 0.0333 (0.0338) loss_contra: 0.0001 (0.0018) time: 2.8861 data: 0.0059 max mem: 31630 Epoch: [32] [3540/5278] eta: 1:23:04 lr: 1.085579660666642e-05 loss: 0.0362 (0.0417) loss_seg: 0.0359 (0.0414) loss_lansim: 0.0333 (0.0338) loss_contra: 0.0001 (0.0018) time: 2.8819 data: 0.0059 max mem: 31630 Epoch: [32] [3550/5278] eta: 1:22:35 lr: 1.0853270860668527e-05 loss: 0.0376 (0.0417) loss_seg: 0.0373 (0.0414) loss_lansim: 0.0326 (0.0338) loss_contra: 0.0001 (0.0018) time: 2.8799 data: 0.0059 max mem: 31630 Epoch: [32] [3560/5278] eta: 1:22:07 lr: 1.0850745049359475e-05 loss: 0.0365 (0.0417) loss_seg: 0.0361 (0.0413) loss_lansim: 0.0322 (0.0338) loss_contra: 0.0001 (0.0018) time: 2.8727 data: 0.0059 max mem: 31630 Epoch: [32] [3570/5278] eta: 1:21:38 lr: 1.0848219172720673e-05 loss: 0.0368 (0.0417) loss_seg: 0.0364 (0.0414) loss_lansim: 0.0325 (0.0338) loss_contra: 0.0001 (0.0018) time: 2.8684 data: 0.0059 max mem: 31630 Epoch: [32] [3580/5278] eta: 1:21:09 lr: 1.084569323073353e-05 loss: 0.0376 (0.0417) loss_seg: 0.0373 (0.0413) loss_lansim: 0.0331 (0.0338) loss_contra: 0.0001 (0.0018) time: 2.8659 data: 0.0059 max mem: 31630 Epoch: [32] [3590/5278] eta: 1:20:40 lr: 1.0843167223379447e-05 loss: 0.0378 (0.0417) loss_seg: 0.0375 (0.0413) loss_lansim: 0.0331 (0.0338) loss_contra: 0.0001 (0.0018) time: 2.8650 data: 0.0059 max mem: 31630 Epoch: [32] [3600/5278] eta: 1:20:12 lr: 1.084064115063981e-05 loss: 0.0383 (0.0417) loss_seg: 0.0380 (0.0413) loss_lansim: 0.0334 (0.0338) loss_contra: 0.0001 (0.0018) time: 2.8628 data: 0.0059 max mem: 31630 Epoch: [32] [3610/5278] eta: 1:19:43 lr: 1.0838115012496002e-05 loss: 0.0383 (0.0417) loss_seg: 0.0380 (0.0413) loss_lansim: 0.0331 (0.0338) loss_contra: 0.0001 (0.0018) time: 2.8566 data: 0.0059 max mem: 31630 Epoch: [32] [3620/5278] eta: 1:19:14 lr: 1.0835588808929384e-05 loss: 0.0377 (0.0417) loss_seg: 0.0374 (0.0413) loss_lansim: 0.0331 (0.0338) loss_contra: 0.0001 (0.0018) time: 2.8532 data: 0.0058 max mem: 31630 Epoch: [32] [3630/5278] eta: 1:18:45 lr: 1.0833062539921312e-05 loss: 0.0377 (0.0417) loss_seg: 0.0374 (0.0413) loss_lansim: 0.0322 (0.0338) loss_contra: 0.0001 (0.0018) time: 2.8487 data: 0.0058 max mem: 31630 Epoch: [32] [3640/5278] eta: 1:18:17 lr: 1.0830536205453138e-05 loss: 0.0378 (0.0416) loss_seg: 0.0375 (0.0413) loss_lansim: 0.0322 (0.0338) loss_contra: 0.0001 (0.0018) time: 2.8485 data: 0.0058 max mem: 31630 Epoch: [32] [3650/5278] eta: 1:17:48 lr: 1.0828009805506205e-05 loss: 0.0384 (0.0416) loss_seg: 0.0381 (0.0413) loss_lansim: 0.0319 (0.0338) loss_contra: 0.0001 (0.0018) time: 2.8490 data: 0.0059 max mem: 31630 Epoch: [32] [3660/5278] eta: 1:17:19 lr: 1.0825483340061824e-05 loss: 0.0384 (0.0416) loss_seg: 0.0381 (0.0413) loss_lansim: 0.0318 (0.0338) loss_contra: 0.0001 (0.0018) time: 2.8516 data: 0.0059 max mem: 31630 Epoch: [32] [3670/5278] eta: 1:16:50 lr: 1.0822956809101322e-05 loss: 0.0376 (0.0416) loss_seg: 0.0373 (0.0413) loss_lansim: 0.0316 (0.0338) loss_contra: 0.0001 (0.0017) time: 2.8524 data: 0.0059 max mem: 31630 Epoch: [32] [3680/5278] eta: 1:16:22 lr: 1.0820430212606004e-05 loss: 0.0367 (0.0416) loss_seg: 0.0365 (0.0413) loss_lansim: 0.0310 (0.0338) loss_contra: 0.0001 (0.0017) time: 2.8511 data: 0.0060 max mem: 31630 Epoch: [32] [3690/5278] eta: 1:15:53 lr: 1.0817903550557174e-05 loss: 0.0373 (0.0416) loss_seg: 0.0370 (0.0413) loss_lansim: 0.0314 (0.0338) loss_contra: 0.0001 (0.0017) time: 2.8483 data: 0.0060 max mem: 31630 Epoch: [32] [3700/5278] eta: 1:15:24 lr: 1.0815376822936103e-05 loss: 0.0373 (0.0416) loss_seg: 0.0370 (0.0412) loss_lansim: 0.0313 (0.0338) loss_contra: 0.0001 (0.0017) time: 2.8458 data: 0.0061 max mem: 31630 Epoch: [32] [3710/5278] eta: 1:14:55 lr: 1.0812850029724074e-05 loss: 0.0367 (0.0416) loss_seg: 0.0363 (0.0412) loss_lansim: 0.0313 (0.0338) loss_contra: 0.0001 (0.0017) time: 2.8503 data: 0.0062 max mem: 31630 Epoch: [32] [3720/5278] eta: 1:14:27 lr: 1.0810323170902355e-05 loss: 0.0369 (0.0416) loss_seg: 0.0366 (0.0412) loss_lansim: 0.0315 (0.0338) loss_contra: 0.0001 (0.0017) time: 2.8586 data: 0.0062 max mem: 31630 Epoch: [32] [3730/5278] eta: 1:13:58 lr: 1.0807796246452206e-05 loss: 0.0376 (0.0416) loss_seg: 0.0373 (0.0412) loss_lansim: 0.0313 (0.0338) loss_contra: 0.0001 (0.0017) time: 2.8642 data: 0.0062 max mem: 31630 Epoch: [32] [3740/5278] eta: 1:13:30 lr: 1.080526925635486e-05 loss: 0.0369 (0.0416) loss_seg: 0.0366 (0.0412) loss_lansim: 0.0315 (0.0338) loss_contra: 0.0001 (0.0017) time: 2.8677 data: 0.0062 max mem: 31630 Epoch: [32] [3750/5278] eta: 1:13:01 lr: 1.080274220059156e-05 loss: 0.0367 (0.0416) loss_seg: 0.0365 (0.0412) loss_lansim: 0.0315 (0.0337) loss_contra: 0.0001 (0.0017) time: 2.8703 data: 0.0062 max mem: 31630 Epoch: [32] [3760/5278] eta: 1:12:33 lr: 1.0800215079143528e-05 loss: 0.0373 (0.0415) loss_seg: 0.0370 (0.0412) loss_lansim: 0.0317 (0.0337) loss_contra: 0.0001 (0.0017) time: 2.8722 data: 0.0062 max mem: 31630 Epoch: [32] [3770/5278] eta: 1:12:04 lr: 1.0797687891991987e-05 loss: 0.0373 (0.0415) loss_seg: 0.0370 (0.0412) loss_lansim: 0.0317 (0.0337) loss_contra: 0.0001 (0.0017) time: 2.8758 data: 0.0062 max mem: 31630 Epoch: [32] [3780/5278] eta: 1:11:35 lr: 1.0795160639118126e-05 loss: 0.0377 (0.0415) loss_seg: 0.0374 (0.0412) loss_lansim: 0.0321 (0.0337) loss_contra: 0.0002 (0.0017) time: 2.8827 data: 0.0061 max mem: 31630 Epoch: [32] [3790/5278] eta: 1:11:07 lr: 1.0792633320503152e-05 loss: 0.0377 (0.0415) loss_seg: 0.0374 (0.0412) loss_lansim: 0.0321 (0.0337) loss_contra: 0.0001 (0.0017) time: 2.8901 data: 0.0061 max mem: 31630 Epoch: [32] [3800/5278] eta: 1:10:38 lr: 1.079010593612824e-05 loss: 0.0373 (0.0415) loss_seg: 0.0369 (0.0411) loss_lansim: 0.0321 (0.0337) loss_contra: 0.0001 (0.0017) time: 2.8936 data: 0.0061 max mem: 31630 Epoch: [32] [3810/5278] eta: 1:10:09 lr: 1.0787578485974577e-05 loss: 0.0375 (0.0415) loss_seg: 0.0370 (0.0411) loss_lansim: 0.0328 (0.0337) loss_contra: 0.0001 (0.0017) time: 2.8877 data: 0.0061 max mem: 31630 Epoch: [32] [3820/5278] eta: 1:09:41 lr: 1.0785050970023311e-05 loss: 0.0377 (0.0415) loss_seg: 0.0374 (0.0411) loss_lansim: 0.0321 (0.0337) loss_contra: 0.0001 (0.0017) time: 2.8769 data: 0.0061 max mem: 31630 Epoch: [32] [3830/5278] eta: 1:09:12 lr: 1.0782523388255602e-05 loss: 0.0375 (0.0415) loss_seg: 0.0370 (0.0411) loss_lansim: 0.0323 (0.0337) loss_contra: 0.0001 (0.0017) time: 2.8684 data: 0.0062 max mem: 31630 Epoch: [32] [3840/5278] eta: 1:08:43 lr: 1.077999574065259e-05 loss: 0.0377 (0.0415) loss_seg: 0.0374 (0.0411) loss_lansim: 0.0321 (0.0337) loss_contra: 0.0001 (0.0017) time: 2.8622 data: 0.0064 max mem: 31630 Epoch: [32] [3850/5278] eta: 1:08:14 lr: 1.077746802719541e-05 loss: 0.0377 (0.0415) loss_seg: 0.0374 (0.0412) loss_lansim: 0.0328 (0.0337) loss_contra: 0.0001 (0.0017) time: 2.8579 data: 0.0065 max mem: 31630 Epoch: [32] [3860/5278] eta: 1:07:45 lr: 1.0774940247865188e-05 loss: 0.0379 (0.0415) loss_seg: 0.0376 (0.0412) loss_lansim: 0.0328 (0.0337) loss_contra: 0.0001 (0.0017) time: 2.8527 data: 0.0067 max mem: 31630 Epoch: [32] [3870/5278] eta: 1:07:16 lr: 1.0772412402643027e-05 loss: 0.0381 (0.0415) loss_seg: 0.0378 (0.0411) loss_lansim: 0.0333 (0.0337) loss_contra: 0.0001 (0.0017) time: 2.8456 data: 0.0067 max mem: 31630 Epoch: [32] [3880/5278] eta: 1:06:48 lr: 1.076988449151003e-05 loss: 0.0383 (0.0415) loss_seg: 0.0380 (0.0412) loss_lansim: 0.0322 (0.0337) loss_contra: 0.0001 (0.0017) time: 2.8360 data: 0.0067 max mem: 31630 Epoch: [32] [3890/5278] eta: 1:06:19 lr: 1.0767356514447293e-05 loss: 0.0376 (0.0415) loss_seg: 0.0373 (0.0411) loss_lansim: 0.0320 (0.0337) loss_contra: 0.0001 (0.0017) time: 2.8250 data: 0.0067 max mem: 31630 Epoch: [32] [3900/5278] eta: 1:05:50 lr: 1.0764828471435898e-05 loss: 0.0391 (0.0415) loss_seg: 0.0388 (0.0411) loss_lansim: 0.0322 (0.0337) loss_contra: 0.0001 (0.0017) time: 2.8164 data: 0.0066 max mem: 31630 Epoch: [32] [3910/5278] eta: 1:05:21 lr: 1.0762300362456906e-05 loss: 0.0384 (0.0415) loss_seg: 0.0381 (0.0411) loss_lansim: 0.0317 (0.0337) loss_contra: 0.0002 (0.0017) time: 2.8133 data: 0.0065 max mem: 31630 Epoch: [32] [3920/5278] eta: 1:04:52 lr: 1.0759772187491381e-05 loss: 0.0393 (0.0415) loss_seg: 0.0390 (0.0411) loss_lansim: 0.0317 (0.0337) loss_contra: 0.0001 (0.0017) time: 2.8136 data: 0.0065 max mem: 31630 Epoch: [32] [3930/5278] eta: 1:04:23 lr: 1.0757243946520374e-05 loss: 0.0400 (0.0415) loss_seg: 0.0398 (0.0411) loss_lansim: 0.0314 (0.0337) loss_contra: 0.0001 (0.0017) time: 2.8149 data: 0.0064 max mem: 31630 Epoch: [32] [3940/5278] eta: 1:03:54 lr: 1.0754715639524929e-05 loss: 0.0402 (0.0415) loss_seg: 0.0398 (0.0411) loss_lansim: 0.0316 (0.0337) loss_contra: 0.0001 (0.0017) time: 2.8130 data: 0.0062 max mem: 31630 Epoch: [32] [3950/5278] eta: 1:03:25 lr: 1.0752187266486063e-05 loss: 0.0394 (0.0415) loss_seg: 0.0392 (0.0411) loss_lansim: 0.0314 (0.0337) loss_contra: 0.0002 (0.0017) time: 2.8097 data: 0.0061 max mem: 31630 Epoch: [32] [3960/5278] eta: 1:02:57 lr: 1.0749658827384802e-05 loss: 0.0400 (0.0415) loss_seg: 0.0398 (0.0411) loss_lansim: 0.0314 (0.0337) loss_contra: 0.0002 (0.0017) time: 2.8060 data: 0.0060 max mem: 31630 Epoch: [32] [3970/5278] eta: 1:02:28 lr: 1.0747130322202153e-05 loss: 0.0393 (0.0415) loss_seg: 0.0390 (0.0411) loss_lansim: 0.0314 (0.0337) loss_contra: 0.0002 (0.0017) time: 2.8047 data: 0.0059 max mem: 31630 Epoch: [32] [3980/5278] eta: 1:01:59 lr: 1.0744601750919116e-05 loss: 0.0377 (0.0414) loss_seg: 0.0373 (0.0411) loss_lansim: 0.0317 (0.0337) loss_contra: 0.0001 (0.0017) time: 2.8068 data: 0.0060 max mem: 31630 Epoch: [32] [3990/5278] eta: 1:01:30 lr: 1.074207311351667e-05 loss: 0.0388 (0.0414) loss_seg: 0.0383 (0.0411) loss_lansim: 0.0321 (0.0337) loss_contra: 0.0001 (0.0017) time: 2.8165 data: 0.0060 max mem: 31630 Epoch: [32] [4000/5278] eta: 1:01:02 lr: 1.0739544409975796e-05 loss: 0.0393 (0.0415) loss_seg: 0.0391 (0.0411) loss_lansim: 0.0314 (0.0337) loss_contra: 0.0001 (0.0017) time: 2.8225 data: 0.0061 max mem: 31630 Epoch: [32] [4010/5278] eta: 1:00:33 lr: 1.0737015640277462e-05 loss: 0.0393 (0.0414) loss_seg: 0.0391 (0.0411) loss_lansim: 0.0324 (0.0337) loss_contra: 0.0002 (0.0017) time: 2.8246 data: 0.0061 max mem: 31630 Epoch: [32] [4020/5278] eta: 1:00:04 lr: 1.0734486804402626e-05 loss: 0.0388 (0.0414) loss_seg: 0.0383 (0.0411) loss_lansim: 0.0325 (0.0337) loss_contra: 0.0002 (0.0017) time: 2.8248 data: 0.0061 max mem: 31630 Epoch: [32] [4030/5278] eta: 0:59:35 lr: 1.0731957902332226e-05 loss: 0.0388 (0.0415) loss_seg: 0.0383 (0.0411) loss_lansim: 0.0327 (0.0336) loss_contra: 0.0002 (0.0017) time: 2.8238 data: 0.0062 max mem: 31630 Epoch: [32] [4040/5278] eta: 0:59:06 lr: 1.07294289340472e-05 loss: 0.0385 (0.0415) loss_seg: 0.0382 (0.0411) loss_lansim: 0.0326 (0.0336) loss_contra: 0.0002 (0.0017) time: 2.8257 data: 0.0062 max mem: 31630 Epoch: [32] [4050/5278] eta: 0:58:38 lr: 1.072689989952847e-05 loss: 0.0385 (0.0415) loss_seg: 0.0379 (0.0411) loss_lansim: 0.0327 (0.0337) loss_contra: 0.0002 (0.0017) time: 2.8295 data: 0.0062 max mem: 31630 Epoch: [32] [4060/5278] eta: 0:58:09 lr: 1.072437079875696e-05 loss: 0.0382 (0.0415) loss_seg: 0.0379 (0.0411) loss_lansim: 0.0330 (0.0337) loss_contra: 0.0001 (0.0017) time: 2.8383 data: 0.0062 max mem: 31630 Epoch: [32] [4070/5278] eta: 0:57:40 lr: 1.0721841631713559e-05 loss: 0.0385 (0.0414) loss_seg: 0.0379 (0.0411) loss_lansim: 0.0337 (0.0337) loss_contra: 0.0002 (0.0017) time: 2.8454 data: 0.0063 max mem: 31630 Epoch: [32] [4080/5278] eta: 0:57:12 lr: 1.0719312398379164e-05 loss: 0.0388 (0.0414) loss_seg: 0.0383 (0.0411) loss_lansim: 0.0339 (0.0337) loss_contra: 0.0002 (0.0017) time: 2.8443 data: 0.0063 max mem: 31630 Epoch: [32] [4090/5278] eta: 0:56:43 lr: 1.071678309873466e-05 loss: 0.0386 (0.0415) loss_seg: 0.0383 (0.0411) loss_lansim: 0.0348 (0.0337) loss_contra: 0.0002 (0.0017) time: 2.8364 data: 0.0062 max mem: 31630 Epoch: [32] [4100/5278] eta: 0:56:14 lr: 1.071425373276092e-05 loss: 0.0385 (0.0415) loss_seg: 0.0379 (0.0411) loss_lansim: 0.0353 (0.0337) loss_contra: 0.0002 (0.0016) time: 2.8339 data: 0.0061 max mem: 31630 Epoch: [32] [4110/5278] eta: 0:55:45 lr: 1.0711724300438807e-05 loss: 0.0385 (0.0415) loss_seg: 0.0382 (0.0411) loss_lansim: 0.0355 (0.0337) loss_contra: 0.0001 (0.0016) time: 2.8336 data: 0.0062 max mem: 31630 Epoch: [32] [4120/5278] eta: 0:55:17 lr: 1.0709194801749163e-05 loss: 0.0382 (0.0415) loss_seg: 0.0379 (0.0411) loss_lansim: 0.0356 (0.0337) loss_contra: 0.0002 (0.0016) time: 2.8356 data: 0.0062 max mem: 31630 Epoch: [32] [4130/5278] eta: 0:54:48 lr: 1.070666523667283e-05 loss: 0.0382 (0.0415) loss_seg: 0.0379 (0.0411) loss_lansim: 0.0363 (0.0337) loss_contra: 0.0001 (0.0016) time: 2.8385 data: 0.0063 max mem: 31630 Epoch: [32] [4140/5278] eta: 0:54:19 lr: 1.070413560519064e-05 loss: 0.0382 (0.0415) loss_seg: 0.0379 (0.0411) loss_lansim: 0.0366 (0.0337) loss_contra: 0.0001 (0.0016) time: 2.8352 data: 0.0064 max mem: 31630 Epoch: [32] [4150/5278] eta: 0:53:50 lr: 1.070160590728342e-05 loss: 0.0377 (0.0415) loss_seg: 0.0374 (0.0411) loss_lansim: 0.0360 (0.0337) loss_contra: 0.0001 (0.0016) time: 2.8300 data: 0.0064 max mem: 31630 Epoch: [32] [4160/5278] eta: 0:53:21 lr: 1.0699076142931965e-05 loss: 0.0382 (0.0415) loss_seg: 0.0379 (0.0411) loss_lansim: 0.0356 (0.0337) loss_contra: 0.0001 (0.0016) time: 2.8195 data: 0.0063 max mem: 31630 Epoch: [32] [4170/5278] eta: 0:52:53 lr: 1.0696546312117076e-05 loss: 0.0386 (0.0415) loss_seg: 0.0383 (0.0411) loss_lansim: 0.0353 (0.0337) loss_contra: 0.0001 (0.0016) time: 2.8109 data: 0.0063 max mem: 31630 Epoch: [32] [4180/5278] eta: 0:52:24 lr: 1.0694016414819543e-05 loss: 0.0392 (0.0415) loss_seg: 0.0389 (0.0411) loss_lansim: 0.0348 (0.0337) loss_contra: 0.0001 (0.0016) time: 2.8077 data: 0.0064 max mem: 31630 Epoch: [32] [4190/5278] eta: 0:51:55 lr: 1.0691486451020146e-05 loss: 0.0386 (0.0415) loss_seg: 0.0384 (0.0411) loss_lansim: 0.0347 (0.0337) loss_contra: 0.0001 (0.0016) time: 2.8067 data: 0.0064 max mem: 31630 Epoch: [32] [4200/5278] eta: 0:51:26 lr: 1.0688956420699642e-05 loss: 0.0386 (0.0415) loss_seg: 0.0383 (0.0411) loss_lansim: 0.0339 (0.0337) loss_contra: 0.0001 (0.0016) time: 2.8047 data: 0.0064 max mem: 31630 Epoch: [32] [4210/5278] eta: 0:50:57 lr: 1.0686426323838791e-05 loss: 0.0386 (0.0415) loss_seg: 0.0383 (0.0411) loss_lansim: 0.0335 (0.0337) loss_contra: 0.0001 (0.0016) time: 2.8023 data: 0.0064 max mem: 31630 Epoch: [32] [4220/5278] eta: 0:50:28 lr: 1.0683896160418337e-05 loss: 0.0394 (0.0415) loss_seg: 0.0392 (0.0411) loss_lansim: 0.0324 (0.0337) loss_contra: 0.0001 (0.0016) time: 2.7972 data: 0.0063 max mem: 31630 Epoch: [32] [4230/5278] eta: 0:50:00 lr: 1.0681365930419021e-05 loss: 0.0392 (0.0415) loss_seg: 0.0389 (0.0411) loss_lansim: 0.0324 (0.0337) loss_contra: 0.0001 (0.0016) time: 2.7916 data: 0.0063 max mem: 31630 Epoch: [32] [4240/5278] eta: 0:49:31 lr: 1.0678835633821553e-05 loss: 0.0392 (0.0415) loss_seg: 0.0389 (0.0411) loss_lansim: 0.0319 (0.0337) loss_contra: 0.0002 (0.0016) time: 2.7918 data: 0.0063 max mem: 31630 Epoch: [32] [4250/5278] eta: 0:49:02 lr: 1.0676305270606652e-05 loss: 0.0405 (0.0415) loss_seg: 0.0402 (0.0411) loss_lansim: 0.0314 (0.0337) loss_contra: 0.0001 (0.0016) time: 2.7936 data: 0.0063 max mem: 31630 Epoch: [32] [4260/5278] eta: 0:48:33 lr: 1.0673774840755024e-05 loss: 0.0413 (0.0415) loss_seg: 0.0410 (0.0411) loss_lansim: 0.0319 (0.0337) loss_contra: 0.0001 (0.0016) time: 2.7999 data: 0.0063 max mem: 31630 Epoch: [32] [4270/5278] eta: 0:48:05 lr: 1.067124434424736e-05 loss: 0.0408 (0.0415) loss_seg: 0.0405 (0.0411) loss_lansim: 0.0314 (0.0337) loss_contra: 0.0001 (0.0016) time: 2.8027 data: 0.0063 max mem: 31630 Epoch: [32] [4280/5278] eta: 0:47:36 lr: 1.0668713781064331e-05 loss: 0.0398 (0.0415) loss_seg: 0.0395 (0.0411) loss_lansim: 0.0312 (0.0337) loss_contra: 0.0001 (0.0016) time: 2.8066 data: 0.0063 max mem: 31630 Epoch: [32] [4290/5278] eta: 0:47:07 lr: 1.0666183151186616e-05 loss: 0.0407 (0.0415) loss_seg: 0.0403 (0.0411) loss_lansim: 0.0306 (0.0337) loss_contra: 0.0001 (0.0016) time: 2.8084 data: 0.0063 max mem: 31630 Epoch: [32] [4300/5278] eta: 0:46:39 lr: 1.066365245459487e-05 loss: 0.0407 (0.0415) loss_seg: 0.0403 (0.0411) loss_lansim: 0.0309 (0.0337) loss_contra: 0.0001 (0.0016) time: 2.8112 data: 0.0063 max mem: 31630 Epoch: [32] [4310/5278] eta: 0:46:10 lr: 1.066112169126975e-05 loss: 0.0416 (0.0415) loss_seg: 0.0413 (0.0411) loss_lansim: 0.0300 (0.0337) loss_contra: 0.0001 (0.0016) time: 2.8152 data: 0.0063 max mem: 31630 Epoch: [32] [4320/5278] eta: 0:45:41 lr: 1.065859086119188e-05 loss: 0.0404 (0.0415) loss_seg: 0.0401 (0.0411) loss_lansim: 0.0309 (0.0337) loss_contra: 0.0001 (0.0016) time: 2.8234 data: 0.0064 max mem: 31630 Epoch: [32] [4330/5278] eta: 0:45:13 lr: 1.0656059964341897e-05 loss: 0.0402 (0.0415) loss_seg: 0.0399 (0.0411) loss_lansim: 0.0305 (0.0337) loss_contra: 0.0001 (0.0016) time: 2.8317 data: 0.0064 max mem: 31630 Epoch: [32] [4340/5278] eta: 0:44:44 lr: 1.0653529000700415e-05 loss: 0.0402 (0.0415) loss_seg: 0.0399 (0.0411) loss_lansim: 0.0303 (0.0336) loss_contra: 0.0001 (0.0016) time: 2.8390 data: 0.0064 max mem: 31630 Epoch: [32] [4350/5278] eta: 0:44:15 lr: 1.0650997970248037e-05 loss: 0.0402 (0.0415) loss_seg: 0.0399 (0.0411) loss_lansim: 0.0306 (0.0336) loss_contra: 0.0001 (0.0016) time: 2.8426 data: 0.0063 max mem: 31630 Epoch: [32] [4360/5278] eta: 0:43:47 lr: 1.0648466872965368e-05 loss: 0.0388 (0.0415) loss_seg: 0.0385 (0.0411) loss_lansim: 0.0300 (0.0336) loss_contra: 0.0001 (0.0016) time: 2.8398 data: 0.0064 max mem: 31630 Epoch: [32] [4370/5278] eta: 0:43:18 lr: 1.0645935708832978e-05 loss: 0.0397 (0.0415) loss_seg: 0.0394 (0.0411) loss_lansim: 0.0294 (0.0336) loss_contra: 0.0001 (0.0016) time: 2.8407 data: 0.0064 max mem: 31630 Epoch: [32] [4380/5278] eta: 0:42:49 lr: 1.0643404477831448e-05 loss: 0.0399 (0.0415) loss_seg: 0.0396 (0.0411) loss_lansim: 0.0302 (0.0336) loss_contra: 0.0002 (0.0016) time: 2.8415 data: 0.0064 max mem: 31630 Epoch: [32] [4390/5278] eta: 0:42:21 lr: 1.0640873179941338e-05 loss: 0.0393 (0.0415) loss_seg: 0.0388 (0.0411) loss_lansim: 0.0299 (0.0336) loss_contra: 0.0002 (0.0016) time: 2.8443 data: 0.0063 max mem: 31630 Epoch: [32] [4400/5278] eta: 0:41:52 lr: 1.0638341815143209e-05 loss: 0.0393 (0.0415) loss_seg: 0.0388 (0.0411) loss_lansim: 0.0297 (0.0336) loss_contra: 0.0002 (0.0016) time: 2.8425 data: 0.0062 max mem: 31630 Epoch: [32] [4410/5278] eta: 0:41:23 lr: 1.0635810383417586e-05 loss: 0.0385 (0.0415) loss_seg: 0.0381 (0.0411) loss_lansim: 0.0300 (0.0336) loss_contra: 0.0002 (0.0016) time: 2.8387 data: 0.0062 max mem: 31630 Epoch: [32] [4420/5278] eta: 0:40:54 lr: 1.0633278884745009e-05 loss: 0.0384 (0.0415) loss_seg: 0.0381 (0.0411) loss_lansim: 0.0298 (0.0336) loss_contra: 0.0002 (0.0016) time: 2.8300 data: 0.0062 max mem: 31630 Epoch: [32] [4430/5278] eta: 0:40:26 lr: 1.0630747319105997e-05 loss: 0.0388 (0.0415) loss_seg: 0.0382 (0.0412) loss_lansim: 0.0297 (0.0336) loss_contra: 0.0002 (0.0016) time: 2.8206 data: 0.0061 max mem: 31630 Epoch: [32] [4440/5278] eta: 0:39:57 lr: 1.0628215686481061e-05 loss: 0.0389 (0.0415) loss_seg: 0.0385 (0.0412) loss_lansim: 0.0299 (0.0336) loss_contra: 0.0002 (0.0016) time: 2.8122 data: 0.0060 max mem: 31630 Epoch: [32] [4450/5278] eta: 0:39:28 lr: 1.062568398685069e-05 loss: 0.0389 (0.0415) loss_seg: 0.0385 (0.0412) loss_lansim: 0.0299 (0.0336) loss_contra: 0.0002 (0.0016) time: 2.8092 data: 0.0061 max mem: 31630 Epoch: [32] [4460/5278] eta: 0:39:00 lr: 1.0623152220195377e-05 loss: 0.0391 (0.0415) loss_seg: 0.0386 (0.0412) loss_lansim: 0.0302 (0.0336) loss_contra: 0.0002 (0.0016) time: 2.8099 data: 0.0060 max mem: 31630 Epoch: [32] [4470/5278] eta: 0:38:31 lr: 1.0620620386495595e-05 loss: 0.0389 (0.0415) loss_seg: 0.0385 (0.0412) loss_lansim: 0.0299 (0.0335) loss_contra: 0.0002 (0.0016) time: 2.8069 data: 0.0061 max mem: 31630 Epoch: [32] [4480/5278] eta: 0:38:02 lr: 1.0618088485731817e-05 loss: 0.0388 (0.0415) loss_seg: 0.0383 (0.0412) loss_lansim: 0.0298 (0.0335) loss_contra: 0.0002 (0.0016) time: 2.8023 data: 0.0062 max mem: 31630 Epoch: [32] [4490/5278] eta: 0:37:33 lr: 1.0615556517884489e-05 loss: 0.0391 (0.0415) loss_seg: 0.0386 (0.0412) loss_lansim: 0.0303 (0.0335) loss_contra: 0.0002 (0.0016) time: 2.7958 data: 0.0062 max mem: 31630 Epoch: [32] [4500/5278] eta: 0:37:05 lr: 1.0613024482934053e-05 loss: 0.0391 (0.0415) loss_seg: 0.0386 (0.0412) loss_lansim: 0.0304 (0.0335) loss_contra: 0.0002 (0.0016) time: 2.7935 data: 0.0062 max mem: 31630 Epoch: [32] [4510/5278] eta: 0:36:36 lr: 1.0610492380860947e-05 loss: 0.0408 (0.0415) loss_seg: 0.0405 (0.0412) loss_lansim: 0.0301 (0.0335) loss_contra: 0.0002 (0.0016) time: 2.7942 data: 0.0062 max mem: 31630 Epoch: [32] [4520/5278] eta: 0:36:07 lr: 1.0607960211645596e-05 loss: 0.0400 (0.0415) loss_seg: 0.0397 (0.0412) loss_lansim: 0.0295 (0.0335) loss_contra: 0.0002 (0.0016) time: 2.7973 data: 0.0062 max mem: 31630 Epoch: [32] [4530/5278] eta: 0:35:39 lr: 1.06054279752684e-05 loss: 0.0388 (0.0415) loss_seg: 0.0385 (0.0412) loss_lansim: 0.0293 (0.0335) loss_contra: 0.0002 (0.0016) time: 2.8029 data: 0.0062 max mem: 31630 Epoch: [32] [4540/5278] eta: 0:35:10 lr: 1.0602895671709766e-05 loss: 0.0381 (0.0415) loss_seg: 0.0377 (0.0412) loss_lansim: 0.0293 (0.0335) loss_contra: 0.0003 (0.0016) time: 2.8088 data: 0.0063 max mem: 31630 Epoch: [32] [4550/5278] eta: 0:34:41 lr: 1.060036330095008e-05 loss: 0.0379 (0.0415) loss_seg: 0.0376 (0.0412) loss_lansim: 0.0292 (0.0335) loss_contra: 0.0002 (0.0016) time: 2.8113 data: 0.0062 max mem: 31630 Epoch: [32] [4560/5278] eta: 0:34:13 lr: 1.0597830862969727e-05 loss: 0.0370 (0.0415) loss_seg: 0.0367 (0.0412) loss_lansim: 0.0288 (0.0335) loss_contra: 0.0002 (0.0016) time: 2.8119 data: 0.0063 max mem: 31630 Epoch: [32] [4570/5278] eta: 0:33:44 lr: 1.0595298357749062e-05 loss: 0.0363 (0.0415) loss_seg: 0.0360 (0.0412) loss_lansim: 0.0293 (0.0335) loss_contra: 0.0002 (0.0016) time: 2.8157 data: 0.0062 max mem: 31630 Epoch: [32] [4580/5278] eta: 0:33:16 lr: 1.0592765785268449e-05 loss: 0.0363 (0.0415) loss_seg: 0.0360 (0.0411) loss_lansim: 0.0292 (0.0335) loss_contra: 0.0002 (0.0016) time: 2.8226 data: 0.0062 max mem: 31630 Epoch: [32] [4590/5278] eta: 0:32:47 lr: 1.0590233145508232e-05 loss: 0.0367 (0.0415) loss_seg: 0.0365 (0.0412) loss_lansim: 0.0293 (0.0335) loss_contra: 0.0001 (0.0016) time: 2.8323 data: 0.0061 max mem: 31630 Epoch: [32] [4600/5278] eta: 0:32:18 lr: 1.0587700438448743e-05 loss: 0.0370 (0.0415) loss_seg: 0.0367 (0.0412) loss_lansim: 0.0292 (0.0335) loss_contra: 0.0002 (0.0016) time: 2.8415 data: 0.0061 max mem: 31630 Epoch: [32] [4610/5278] eta: 0:31:50 lr: 1.0585167664070313e-05 loss: 0.0376 (0.0415) loss_seg: 0.0374 (0.0412) loss_lansim: 0.0292 (0.0335) loss_contra: 0.0001 (0.0016) time: 2.8481 data: 0.0061 max mem: 31630 Epoch: [32] [4620/5278] eta: 0:31:21 lr: 1.0582634822353242e-05 loss: 0.0382 (0.0415) loss_seg: 0.0378 (0.0412) loss_lansim: 0.0297 (0.0334) loss_contra: 0.0001 (0.0016) time: 2.8530 data: 0.0061 max mem: 31630 Epoch: [32] [4630/5278] eta: 0:30:53 lr: 1.0580101913277837e-05 loss: 0.0387 (0.0415) loss_seg: 0.0384 (0.0412) loss_lansim: 0.0296 (0.0334) loss_contra: 0.0001 (0.0016) time: 2.8507 data: 0.0061 max mem: 31630 Epoch: [32] [4640/5278] eta: 0:30:24 lr: 1.0577568936824389e-05 loss: 0.0385 (0.0415) loss_seg: 0.0381 (0.0412) loss_lansim: 0.0295 (0.0334) loss_contra: 0.0001 (0.0016) time: 2.8485 data: 0.0061 max mem: 31630 Epoch: [32] [4650/5278] eta: 0:29:55 lr: 1.0575035892973182e-05 loss: 0.0390 (0.0415) loss_seg: 0.0387 (0.0412) loss_lansim: 0.0295 (0.0334) loss_contra: 0.0001 (0.0016) time: 2.8483 data: 0.0061 max mem: 31630 Epoch: [32] [4660/5278] eta: 0:29:27 lr: 1.0572502781704474e-05 loss: 0.0397 (0.0416) loss_seg: 0.0394 (0.0412) loss_lansim: 0.0295 (0.0334) loss_contra: 0.0001 (0.0016) time: 2.8464 data: 0.0061 max mem: 31630 Epoch: [32] [4670/5278] eta: 0:28:58 lr: 1.0569969602998526e-05 loss: 0.0397 (0.0415) loss_seg: 0.0394 (0.0412) loss_lansim: 0.0294 (0.0334) loss_contra: 0.0001 (0.0016) time: 2.8431 data: 0.0061 max mem: 31630 Epoch: [32] [4680/5278] eta: 0:28:29 lr: 1.0567436356835584e-05 loss: 0.0403 (0.0416) loss_seg: 0.0399 (0.0412) loss_lansim: 0.0294 (0.0334) loss_contra: 0.0001 (0.0016) time: 2.8368 data: 0.0062 max mem: 31630 Epoch: [32] [4690/5278] eta: 0:28:01 lr: 1.056490304319589e-05 loss: 0.0381 (0.0416) loss_seg: 0.0378 (0.0412) loss_lansim: 0.0289 (0.0334) loss_contra: 0.0001 (0.0016) time: 2.8275 data: 0.0062 max mem: 31630 Epoch: [32] [4700/5278] eta: 0:27:32 lr: 1.0562369662059655e-05 loss: 0.0376 (0.0415) loss_seg: 0.0374 (0.0412) loss_lansim: 0.0287 (0.0334) loss_contra: 0.0001 (0.0016) time: 2.8186 data: 0.0062 max mem: 31630 Epoch: [32] [4710/5278] eta: 0:27:03 lr: 1.0559836213407102e-05 loss: 0.0377 (0.0416) loss_seg: 0.0375 (0.0412) loss_lansim: 0.0287 (0.0334) loss_contra: 0.0001 (0.0016) time: 2.8107 data: 0.0061 max mem: 31630 Epoch: [32] [4720/5278] eta: 0:26:35 lr: 1.0557302697218425e-05 loss: 0.0377 (0.0415) loss_seg: 0.0375 (0.0412) loss_lansim: 0.0282 (0.0333) loss_contra: 0.0001 (0.0016) time: 2.8052 data: 0.0061 max mem: 31630 Epoch: [32] [4730/5278] eta: 0:26:06 lr: 1.0554769113473829e-05 loss: 0.0377 (0.0415) loss_seg: 0.0375 (0.0412) loss_lansim: 0.0280 (0.0333) loss_contra: 0.0001 (0.0016) time: 2.8038 data: 0.0061 max mem: 31630 Epoch: [32] [4740/5278] eta: 0:25:37 lr: 1.0552235462153476e-05 loss: 0.0379 (0.0415) loss_seg: 0.0376 (0.0412) loss_lansim: 0.0282 (0.0333) loss_contra: 0.0001 (0.0016) time: 2.7942 data: 0.0061 max mem: 31630 Epoch: [32] [4750/5278] eta: 0:25:08 lr: 1.0549701743237541e-05 loss: 0.0378 (0.0415) loss_seg: 0.0375 (0.0412) loss_lansim: 0.0282 (0.0333) loss_contra: 0.0002 (0.0016) time: 2.7828 data: 0.0061 max mem: 31630 Epoch: [32] [4760/5278] eta: 0:24:40 lr: 1.0547167956706185e-05 loss: 0.0380 (0.0415) loss_seg: 0.0377 (0.0412) loss_lansim: 0.0282 (0.0333) loss_contra: 0.0002 (0.0016) time: 2.7736 data: 0.0061 max mem: 31630 Epoch: [32] [4770/5278] eta: 0:24:11 lr: 1.0544634102539558e-05 loss: 0.0386 (0.0415) loss_seg: 0.0383 (0.0412) loss_lansim: 0.0283 (0.0333) loss_contra: 0.0002 (0.0016) time: 2.7663 data: 0.0061 max mem: 31630 Epoch: [32] [4780/5278] eta: 0:23:42 lr: 1.0542100180717781e-05 loss: 0.0386 (0.0415) loss_seg: 0.0383 (0.0412) loss_lansim: 0.0282 (0.0333) loss_contra: 0.0003 (0.0016) time: 2.7594 data: 0.0060 max mem: 31630 Epoch: [32] [4790/5278] eta: 0:23:14 lr: 1.0539566191220988e-05 loss: 0.0390 (0.0415) loss_seg: 0.0387 (0.0412) loss_lansim: 0.0276 (0.0333) loss_contra: 0.0003 (0.0016) time: 2.7526 data: 0.0060 max mem: 31630 Epoch: [32] [4800/5278] eta: 0:22:45 lr: 1.053703213402929e-05 loss: 0.0392 (0.0415) loss_seg: 0.0388 (0.0412) loss_lansim: 0.0273 (0.0332) loss_contra: 0.0003 (0.0016) time: 2.7458 data: 0.0059 max mem: 31630 Epoch: [32] [4810/5278] eta: 0:22:16 lr: 1.0534498009122789e-05 loss: 0.0386 (0.0415) loss_seg: 0.0384 (0.0412) loss_lansim: 0.0270 (0.0332) loss_contra: 0.0003 (0.0016) time: 2.7433 data: 0.0060 max mem: 31630 Epoch: [32] [4820/5278] eta: 0:21:48 lr: 1.053196381648158e-05 loss: 0.0386 (0.0415) loss_seg: 0.0383 (0.0412) loss_lansim: 0.0267 (0.0332) loss_contra: 0.0003 (0.0016) time: 2.7386 data: 0.0060 max mem: 31630 Epoch: [32] [4830/5278] eta: 0:21:19 lr: 1.0529429556085733e-05 loss: 0.0382 (0.0415) loss_seg: 0.0379 (0.0411) loss_lansim: 0.0263 (0.0332) loss_contra: 0.0003 (0.0016) time: 2.7342 data: 0.0059 max mem: 31630 Epoch: [32] [4840/5278] eta: 0:20:50 lr: 1.0526895227915321e-05 loss: 0.0388 (0.0415) loss_seg: 0.0384 (0.0411) loss_lansim: 0.0258 (0.0332) loss_contra: 0.0003 (0.0016) time: 2.7384 data: 0.0059 max mem: 31630 Epoch: [32] [4850/5278] eta: 0:20:22 lr: 1.05243608319504e-05 loss: 0.0381 (0.0415) loss_seg: 0.0378 (0.0411) loss_lansim: 0.0251 (0.0332) loss_contra: 0.0003 (0.0016) time: 2.7445 data: 0.0059 max mem: 31630 Epoch: [32] [4860/5278] eta: 0:19:53 lr: 1.0521826368171023e-05 loss: 0.0374 (0.0415) loss_seg: 0.0372 (0.0411) loss_lansim: 0.0243 (0.0331) loss_contra: 0.0003 (0.0016) time: 2.7503 data: 0.0059 max mem: 31630 Epoch: [32] [4870/5278] eta: 0:19:24 lr: 1.0519291836557211e-05 loss: 0.0376 (0.0415) loss_seg: 0.0374 (0.0411) loss_lansim: 0.0243 (0.0331) loss_contra: 0.0003 (0.0016) time: 2.7569 data: 0.0059 max mem: 31630 Epoch: [32] [4880/5278] eta: 0:18:56 lr: 1.0516757237088996e-05 loss: 0.0376 (0.0415) loss_seg: 0.0374 (0.0411) loss_lansim: 0.0241 (0.0331) loss_contra: 0.0003 (0.0016) time: 2.7633 data: 0.0059 max mem: 31630 Epoch: [32] [4890/5278] eta: 0:18:27 lr: 1.0514222569746389e-05 loss: 0.0374 (0.0415) loss_seg: 0.0372 (0.0411) loss_lansim: 0.0241 (0.0331) loss_contra: 0.0003 (0.0016) time: 2.7699 data: 0.0060 max mem: 31630 Epoch: [32] [4900/5278] eta: 0:17:59 lr: 1.0511687834509395e-05 loss: 0.0365 (0.0414) loss_seg: 0.0362 (0.0411) loss_lansim: 0.0241 (0.0331) loss_contra: 0.0003 (0.0016) time: 2.7753 data: 0.0061 max mem: 31630 Epoch: [32] [4910/5278] eta: 0:17:30 lr: 1.0509153031357994e-05 loss: 0.0372 (0.0414) loss_seg: 0.0369 (0.0411) loss_lansim: 0.0243 (0.0331) loss_contra: 0.0003 (0.0016) time: 2.7754 data: 0.0061 max mem: 31630 Epoch: [32] [4920/5278] eta: 0:17:01 lr: 1.0506618160272167e-05 loss: 0.0374 (0.0415) loss_seg: 0.0372 (0.0411) loss_lansim: 0.0242 (0.0330) loss_contra: 0.0003 (0.0016) time: 2.7733 data: 0.0061 max mem: 31630 Epoch: [32] [4930/5278] eta: 0:16:33 lr: 1.0504083221231887e-05 loss: 0.0376 (0.0415) loss_seg: 0.0374 (0.0411) loss_lansim: 0.0248 (0.0330) loss_contra: 0.0003 (0.0016) time: 2.7705 data: 0.0061 max mem: 31630 Epoch: [32] [4940/5278] eta: 0:16:04 lr: 1.050154821421711e-05 loss: 0.0374 (0.0415) loss_seg: 0.0372 (0.0411) loss_lansim: 0.0243 (0.0330) loss_contra: 0.0003 (0.0016) time: 2.7665 data: 0.0061 max mem: 31630 Epoch: [32] [4950/5278] eta: 0:15:35 lr: 1.049901313920777e-05 loss: 0.0370 (0.0414) loss_seg: 0.0366 (0.0411) loss_lansim: 0.0241 (0.0330) loss_contra: 0.0003 (0.0016) time: 2.7605 data: 0.0062 max mem: 31630 Epoch: [32] [4960/5278] eta: 0:15:07 lr: 1.0496477996183808e-05 loss: 0.0376 (0.0414) loss_seg: 0.0374 (0.0411) loss_lansim: 0.0242 (0.0330) loss_contra: 0.0003 (0.0016) time: 2.7546 data: 0.0061 max mem: 31630 Epoch: [32] [4970/5278] eta: 0:14:38 lr: 1.0493942785125145e-05 loss: 0.0378 (0.0414) loss_seg: 0.0375 (0.0411) loss_lansim: 0.0242 (0.0330) loss_contra: 0.0003 (0.0016) time: 2.7478 data: 0.0061 max mem: 31630 Epoch: [32] [4980/5278] eta: 0:14:10 lr: 1.0491407506011697e-05 loss: 0.0376 (0.0414) loss_seg: 0.0374 (0.0411) loss_lansim: 0.0242 (0.0330) loss_contra: 0.0002 (0.0016) time: 2.7411 data: 0.0061 max mem: 31630 Epoch: [32] [4990/5278] eta: 0:13:41 lr: 1.0488872158823352e-05 loss: 0.0380 (0.0414) loss_seg: 0.0377 (0.0411) loss_lansim: 0.0242 (0.0329) loss_contra: 0.0002 (0.0016) time: 2.7332 data: 0.0060 max mem: 31630 Epoch: [32] [5000/5278] eta: 0:13:12 lr: 1.0486336743540002e-05 loss: 0.0380 (0.0415) loss_seg: 0.0378 (0.0411) loss_lansim: 0.0242 (0.0329) loss_contra: 0.0002 (0.0016) time: 2.7274 data: 0.0059 max mem: 31630 Epoch: [32] [5010/5278] eta: 0:12:44 lr: 1.0483801260141527e-05 loss: 0.0378 (0.0414) loss_seg: 0.0375 (0.0411) loss_lansim: 0.0242 (0.0329) loss_contra: 0.0002 (0.0016) time: 2.7236 data: 0.0059 max mem: 31630 Epoch: [32] [5020/5278] eta: 0:12:15 lr: 1.0481265708607794e-05 loss: 0.0371 (0.0415) loss_seg: 0.0368 (0.0411) loss_lansim: 0.0242 (0.0329) loss_contra: 0.0002 (0.0016) time: 2.7213 data: 0.0059 max mem: 31630 Epoch: [32] [5030/5278] eta: 0:11:47 lr: 1.0478730088918648e-05 loss: 0.0378 (0.0414) loss_seg: 0.0376 (0.0411) loss_lansim: 0.0242 (0.0329) loss_contra: 0.0002 (0.0016) time: 2.7202 data: 0.0058 max mem: 31630 Epoch: [32] [5040/5278] eta: 0:11:18 lr: 1.0476194401053936e-05 loss: 0.0370 (0.0414) loss_seg: 0.0366 (0.0411) loss_lansim: 0.0243 (0.0329) loss_contra: 0.0002 (0.0016) time: 2.7202 data: 0.0058 max mem: 31630 Epoch: [32] [5050/5278] eta: 0:10:50 lr: 1.0473658644993491e-05 loss: 0.0382 (0.0414) loss_seg: 0.0379 (0.0411) loss_lansim: 0.0243 (0.0328) loss_contra: 0.0001 (0.0016) time: 2.7202 data: 0.0057 max mem: 31630 Epoch: [32] [5060/5278] eta: 0:10:21 lr: 1.047112282071713e-05 loss: 0.0393 (0.0415) loss_seg: 0.0389 (0.0411) loss_lansim: 0.0245 (0.0328) loss_contra: 0.0002 (0.0016) time: 2.7198 data: 0.0058 max mem: 31630 Epoch: [32] [5070/5278] eta: 0:09:52 lr: 1.0468586928204669e-05 loss: 0.0380 (0.0415) loss_seg: 0.0377 (0.0411) loss_lansim: 0.0249 (0.0328) loss_contra: 0.0002 (0.0016) time: 2.7197 data: 0.0058 max mem: 31630 Epoch: [32] [5080/5278] eta: 0:09:24 lr: 1.0466050967435892e-05 loss: 0.0393 (0.0415) loss_seg: 0.0389 (0.0411) loss_lansim: 0.0249 (0.0328) loss_contra: 0.0002 (0.0016) time: 2.7205 data: 0.0058 max mem: 31630 Epoch: [32] [5090/5278] eta: 0:08:55 lr: 1.0463514938390591e-05 loss: 0.0389 (0.0414) loss_seg: 0.0386 (0.0411) loss_lansim: 0.0251 (0.0328) loss_contra: 0.0001 (0.0016) time: 2.7249 data: 0.0059 max mem: 31630 Epoch: [32] [5100/5278] eta: 0:08:27 lr: 1.046097884104854e-05 loss: 0.0371 (0.0414) loss_seg: 0.0368 (0.0411) loss_lansim: 0.0252 (0.0328) loss_contra: 0.0001 (0.0016) time: 2.7280 data: 0.0059 max mem: 31630 Epoch: [32] [5110/5278] eta: 0:07:58 lr: 1.0458442675389508e-05 loss: 0.0390 (0.0414) loss_seg: 0.0388 (0.0411) loss_lansim: 0.0253 (0.0328) loss_contra: 0.0002 (0.0016) time: 2.7327 data: 0.0059 max mem: 31630 Epoch: [32] [5120/5278] eta: 0:07:30 lr: 1.045590644139323e-05 loss: 0.0382 (0.0414) loss_seg: 0.0380 (0.0411) loss_lansim: 0.0255 (0.0327) loss_contra: 0.0001 (0.0016) time: 2.7385 data: 0.0059 max mem: 31630 Epoch: [32] [5130/5278] eta: 0:07:01 lr: 1.0453370139039459e-05 loss: 0.0378 (0.0414) loss_seg: 0.0376 (0.0411) loss_lansim: 0.0249 (0.0327) loss_contra: 0.0002 (0.0016) time: 2.7458 data: 0.0060 max mem: 31630 Epoch: [32] [5140/5278] eta: 0:06:33 lr: 1.0450833768307918e-05 loss: 0.0378 (0.0414) loss_seg: 0.0376 (0.0411) loss_lansim: 0.0255 (0.0327) loss_contra: 0.0001 (0.0016) time: 2.7524 data: 0.0060 max mem: 31630 Epoch: [32] [5150/5278] eta: 0:06:04 lr: 1.044829732917833e-05 loss: 0.0376 (0.0414) loss_seg: 0.0373 (0.0411) loss_lansim: 0.0254 (0.0327) loss_contra: 0.0001 (0.0016) time: 2.7592 data: 0.0060 max mem: 31630 Epoch: [32] [5160/5278] eta: 0:05:36 lr: 1.044576082163039e-05 loss: 0.0375 (0.0414) loss_seg: 0.0372 (0.0411) loss_lansim: 0.0251 (0.0327) loss_contra: 0.0001 (0.0016) time: 2.7662 data: 0.0060 max mem: 31630 Epoch: [32] [5170/5278] eta: 0:05:07 lr: 1.0443224245643798e-05 loss: 0.0376 (0.0414) loss_seg: 0.0373 (0.0411) loss_lansim: 0.0251 (0.0327) loss_contra: 0.0001 (0.0016) time: 2.7725 data: 0.0060 max mem: 31630 Epoch: [32] [5180/5278] eta: 0:04:39 lr: 1.0440687601198234e-05 loss: 0.0375 (0.0414) loss_seg: 0.0372 (0.0411) loss_lansim: 0.0250 (0.0327) loss_contra: 0.0001 (0.0016) time: 2.7767 data: 0.0061 max mem: 31630 Epoch: [32] [5190/5278] eta: 0:04:10 lr: 1.0438150888273375e-05 loss: 0.0374 (0.0414) loss_seg: 0.0372 (0.0411) loss_lansim: 0.0253 (0.0326) loss_contra: 0.0001 (0.0016) time: 2.7728 data: 0.0060 max mem: 31630 Epoch: [32] [5200/5278] eta: 0:03:42 lr: 1.043561410684887e-05 loss: 0.0374 (0.0414) loss_seg: 0.0372 (0.0410) loss_lansim: 0.0250 (0.0326) loss_contra: 0.0001 (0.0016) time: 2.7700 data: 0.0060 max mem: 31630 Epoch: [32] [5210/5278] eta: 0:03:13 lr: 1.0433077256904372e-05 loss: 0.0367 (0.0414) loss_seg: 0.0364 (0.0410) loss_lansim: 0.0250 (0.0326) loss_contra: 0.0001 (0.0016) time: 2.7652 data: 0.0060 max mem: 31630 Epoch: [32] [5220/5278] eta: 0:02:45 lr: 1.0430540338419516e-05 loss: 0.0375 (0.0414) loss_seg: 0.0372 (0.0410) loss_lansim: 0.0253 (0.0326) loss_contra: 0.0001 (0.0016) time: 2.7594 data: 0.0060 max mem: 31630 Epoch: [32] [5230/5278] eta: 0:02:16 lr: 1.0428003351373933e-05 loss: 0.0374 (0.0414) loss_seg: 0.0372 (0.0410) loss_lansim: 0.0253 (0.0326) loss_contra: 0.0001 (0.0016) time: 2.7525 data: 0.0060 max mem: 31630 Epoch: [32] [5240/5278] eta: 0:01:48 lr: 1.0425466295747224e-05 loss: 0.0377 (0.0414) loss_seg: 0.0375 (0.0410) loss_lansim: 0.0252 (0.0326) loss_contra: 0.0001 (0.0016) time: 2.7458 data: 0.0060 max mem: 31630 Epoch: [32] [5250/5278] eta: 0:01:19 lr: 1.0422929171518997e-05 loss: 0.0381 (0.0414) loss_seg: 0.0378 (0.0410) loss_lansim: 0.0254 (0.0326) loss_contra: 0.0001 (0.0016) time: 2.7387 data: 0.0060 max mem: 31630 Epoch: [32] [5260/5278] eta: 0:00:51 lr: 1.042039197866884e-05 loss: 0.0383 (0.0414) loss_seg: 0.0379 (0.0410) loss_lansim: 0.0254 (0.0326) loss_contra: 0.0001 (0.0016) time: 2.7316 data: 0.0060 max mem: 31630 Epoch: [32] [5270/5278] eta: 0:00:22 lr: 1.0417854717176342e-05 loss: 0.0389 (0.0414) loss_seg: 0.0386 (0.0410) loss_lansim: 0.0254 (0.0325) loss_contra: 0.0001 (0.0016) time: 2.7248 data: 0.0060 max mem: 31630 Epoch: [32] Total time: 4:10:24 Test: [ 0/2573] eta: 1:03:37 time: 1.4837 data: 1.3301 max mem: 31630 Test: [ 100/2573] eta: 2:41:56 time: 3.9533 data: 3.8166 max mem: 31630 Test: [ 200/2573] eta: 1:20:53 time: 0.1426 data: 0.0015 max mem: 31630 Test: [ 300/2573] eta: 0:53:28 time: 0.1377 data: 0.0015 max mem: 31630 Test: [ 400/2573] eta: 0:39:37 time: 0.1395 data: 0.0015 max mem: 31630 Test: [ 500/2573] eta: 0:31:13 time: 0.1410 data: 0.0015 max mem: 31630 Test: [ 600/2573] eta: 0:25:33 time: 0.1428 data: 0.0015 max mem: 31630 Test: [ 700/2573] eta: 0:21:27 time: 0.1470 data: 0.0015 max mem: 31630 Test: [ 800/2573] eta: 0:18:18 time: 0.1447 data: 0.0015 max mem: 31630 Test: [ 900/2573] eta: 0:15:48 time: 0.1446 data: 0.0014 max mem: 31630 Test: [1000/2573] eta: 0:13:45 time: 0.1434 data: 0.0015 max mem: 31630 Test: [1100/2573] eta: 0:12:01 time: 0.1427 data: 0.0015 max mem: 31630 Test: [1200/2573] eta: 0:10:33 time: 0.1451 data: 0.0015 max mem: 31630 Test: [1300/2573] eta: 0:09:16 time: 0.1432 data: 0.0016 max mem: 31630 Test: [1400/2573] eta: 0:08:07 time: 0.1401 data: 0.0015 max mem: 31630 Test: [1500/2573] eta: 0:07:06 time: 0.1448 data: 0.0015 max mem: 31630 Test: [1600/2573] eta: 0:06:11 time: 0.1443 data: 0.0015 max mem: 31630 Test: [1700/2573] eta: 0:05:21 time: 0.1449 data: 0.0015 max mem: 31630 Test: [1800/2573] eta: 0:04:34 time: 0.1417 data: 0.0015 max mem: 31630 Test: [1900/2573] eta: 0:03:51 time: 0.1403 data: 0.0015 max mem: 31630 Test: [2000/2573] eta: 0:03:11 time: 0.1401 data: 0.0015 max mem: 31630 Test: [2100/2573] eta: 0:02:33 time: 0.1448 data: 0.0015 max mem: 31630 Test: [2200/2573] eta: 0:01:58 time: 0.1396 data: 0.0015 max mem: 31630 Test: [2300/2573] eta: 0:01:24 time: 0.1445 data: 0.0015 max mem: 31630 Test: [2400/2573] eta: 0:00:52 time: 0.1425 data: 0.0015 max mem: 31630 Test: [2500/2573] eta: 0:00:21 time: 0.1442 data: 0.0015 max mem: 31630 Test: Total time: 0:12:30 Final results: precision@0.5 = 69.73 precision@0.6 = 65.36 precision@0.7 = 58.88 precision@0.8 = 47.75 precision@0.9 = 23.59 overall IoU = 58.71 mean IoU = 61.61 Epoch: [33] [ 0/5278] eta: 6:31:57 lr: 1.0415824858546109e-05 loss: 0.0482 (0.0482) loss_seg: 0.0480 (0.0480) loss_lansim: 0.0238 (0.0238) loss_contra: 0.0000 (0.0000) time: 4.4557 data: 1.4581 max mem: 31630 Epoch: [33] [ 10/5278] eta: 4:17:31 lr: 1.0413287473445876e-05 loss: 0.0369 (0.0395) loss_seg: 0.0366 (0.0392) loss_lansim: 0.0255 (0.0263) loss_contra: 0.0003 (0.0017) time: 2.9330 data: 0.1373 max mem: 31630 Epoch: [33] [ 20/5278] eta: 4:10:38 lr: 1.0410750019646045e-05 loss: 0.0369 (0.0376) loss_seg: 0.0366 (0.0373) loss_lansim: 0.0260 (0.0266) loss_contra: 0.0002 (0.0017) time: 2.8601 data: 0.0747 max mem: 31630 Epoch: [33] [ 30/5278] eta: 4:08:17 lr: 1.0408212497126157e-05 loss: 0.0375 (0.0373) loss_seg: 0.0372 (0.0371) loss_lansim: 0.0255 (0.0261) loss_contra: 0.0002 (0.0013) time: 2.8386 data: 0.0528 max mem: 31630 Epoch: [33] [ 40/5278] eta: 4:05:21 lr: 1.0405674905865728e-05 loss: 0.0375 (0.0371) loss_seg: 0.0372 (0.0368) loss_lansim: 0.0250 (0.0259) loss_contra: 0.0002 (0.0011) time: 2.8106 data: 0.0415 max mem: 31630 Epoch: [33] [ 50/5278] eta: 4:12:26 lr: 1.0403137245844279e-05 loss: 0.0386 (0.0388) loss_seg: 0.0383 (0.0385) loss_lansim: 0.0251 (0.0261) loss_contra: 0.0002 (0.0012) time: 2.8971 data: 0.0344 max mem: 31630 Epoch: [33] [ 60/5278] eta: 4:09:00 lr: 1.04005995170413e-05 loss: 0.0369 (0.0376) loss_seg: 0.0366 (0.0373) loss_lansim: 0.0251 (0.0259) loss_contra: 0.0002 (0.0011) time: 2.8632 data: 0.0296 max mem: 31630 Epoch: [33] [ 70/5278] eta: 4:06:08 lr: 1.039806171943628e-05 loss: 0.0376 (0.0384) loss_seg: 0.0373 (0.0381) loss_lansim: 0.0255 (0.0263) loss_contra: 0.0002 (0.0010) time: 2.8358 data: 0.0263 max mem: 31630 Epoch: [33] [ 80/5278] eta: 4:03:12 lr: 1.0395523853008694e-05 loss: 0.0385 (0.0387) loss_seg: 0.0383 (0.0384) loss_lansim: 0.0254 (0.0263) loss_contra: 0.0002 (0.0009) time: 2.8074 data: 0.0237 max mem: 31630 Epoch: [33] [ 90/5278] eta: 4:02:56 lr: 1.039298591773801e-05 loss: 0.0385 (0.0386) loss_seg: 0.0383 (0.0383) loss_lansim: 0.0252 (0.0261) loss_contra: 0.0001 (0.0009) time: 2.8096 data: 0.0217 max mem: 31630 Epoch: [33] [ 100/5278] eta: 4:00:51 lr: 1.0390447913603684e-05 loss: 0.0383 (0.0386) loss_seg: 0.0380 (0.0383) loss_lansim: 0.0255 (0.0261) loss_contra: 0.0001 (0.0008) time: 2.7744 data: 0.0056 max mem: 31630 Epoch: [33] [ 110/5278] eta: 4:01:29 lr: 1.0387909840585145e-05 loss: 0.0379 (0.0383) loss_seg: 0.0377 (0.0380) loss_lansim: 0.0254 (0.0260) loss_contra: 0.0001 (0.0008) time: 2.7894 data: 0.0056 max mem: 31630 Epoch: [33] [ 120/5278] eta: 4:05:42 lr: 1.0385371698661828e-05 loss: 0.0383 (0.0383) loss_seg: 0.0380 (0.0381) loss_lansim: 0.0251 (0.0259) loss_contra: 0.0001 (0.0016) time: 2.8577 data: 0.0055 max mem: 31630 Epoch: [33] [ 130/5278] eta: 4:08:30 lr: 1.0382833487813149e-05 loss: 0.0381 (0.0384) loss_seg: 0.0379 (0.0382) loss_lansim: 0.0252 (0.0261) loss_contra: 0.0001 (0.0015) time: 2.9144 data: 0.0053 max mem: 31630 Epoch: [33] [ 140/5278] eta: 4:07:40 lr: 1.0380295208018521e-05 loss: 0.0385 (0.0388) loss_seg: 0.0383 (0.0385) loss_lansim: 0.0257 (0.0262) loss_contra: 0.0001 (0.0014) time: 2.9256 data: 0.0051 max mem: 31630 Epoch: [33] [ 150/5278] eta: 4:06:07 lr: 1.0377756859257326e-05 loss: 0.0385 (0.0392) loss_seg: 0.0383 (0.0389) loss_lansim: 0.0257 (0.0262) loss_contra: 0.0001 (0.0016) time: 2.8708 data: 0.0051 max mem: 31630 Epoch: [33] [ 160/5278] eta: 4:04:45 lr: 1.0375218441508949e-05 loss: 0.0391 (0.0389) loss_seg: 0.0388 (0.0386) loss_lansim: 0.0256 (0.0260) loss_contra: 0.0001 (0.0016) time: 2.8732 data: 0.0051 max mem: 31630 Epoch: [33] [ 170/5278] eta: 4:03:24 lr: 1.0372679954752764e-05 loss: 0.0387 (0.0387) loss_seg: 0.0385 (0.0384) loss_lansim: 0.0252 (0.0260) loss_contra: 0.0001 (0.0016) time: 2.8759 data: 0.0050 max mem: 31630 Epoch: [33] [ 180/5278] eta: 4:02:18 lr: 1.0370141398968132e-05 loss: 0.0377 (0.0385) loss_seg: 0.0374 (0.0382) loss_lansim: 0.0253 (0.0260) loss_contra: 0.0001 (0.0016) time: 2.8877 data: 0.0050 max mem: 31630 Epoch: [33] [ 190/5278] eta: 4:00:49 lr: 1.036760277413439e-05 loss: 0.0377 (0.0384) loss_seg: 0.0374 (0.0381) loss_lansim: 0.0253 (0.0260) loss_contra: 0.0002 (0.0020) time: 2.8676 data: 0.0049 max mem: 31630 Epoch: [33] [ 200/5278] eta: 4:11:30 lr: 1.0365064080230878e-05 loss: 0.0381 (0.0388) loss_seg: 0.0378 (0.0385) loss_lansim: 0.0254 (0.0260) loss_contra: 0.0002 (0.0019) time: 3.1543 data: 0.0049 max mem: 31630 Epoch: [33] [ 210/5278] eta: 4:12:54 lr: 1.036252531723692e-05 loss: 0.0387 (0.0389) loss_seg: 0.0385 (0.0387) loss_lansim: 0.0256 (0.0261) loss_contra: 0.0002 (0.0019) time: 3.2055 data: 0.0049 max mem: 31630 Epoch: [33] [ 220/5278] eta: 4:14:23 lr: 1.035998648513183e-05 loss: 0.0387 (0.0391) loss_seg: 0.0385 (0.0388) loss_lansim: 0.0256 (0.0260) loss_contra: 0.0002 (0.0018) time: 3.2106 data: 0.0048 max mem: 31630 Epoch: [33] [ 230/5278] eta: 4:14:26 lr: 1.0357447583894897e-05 loss: 0.0387 (0.0390) loss_seg: 0.0384 (0.0387) loss_lansim: 0.0257 (0.0260) loss_contra: 0.0002 (0.0018) time: 3.1919 data: 0.0048 max mem: 31630 Epoch: [33] [ 240/5278] eta: 4:18:06 lr: 1.0354908613505416e-05 loss: 0.0385 (0.0390) loss_seg: 0.0382 (0.0388) loss_lansim: 0.0257 (0.0260) loss_contra: 0.0002 (0.0017) time: 3.3301 data: 0.0048 max mem: 31630 Epoch: [33] [ 250/5278] eta: 4:23:28 lr: 1.035236957394266e-05 loss: 0.0385 (0.0392) loss_seg: 0.0382 (0.0389) loss_lansim: 0.0258 (0.0261) loss_contra: 0.0002 (0.0017) time: 3.5435 data: 0.0048 max mem: 31630 Epoch: [33] [ 260/5278] eta: 4:23:31 lr: 1.0349830465185901e-05 loss: 0.0384 (0.0391) loss_seg: 0.0381 (0.0389) loss_lansim: 0.0259 (0.0260) loss_contra: 0.0002 (0.0017) time: 3.6044 data: 0.0046 max mem: 31630 Epoch: [33] [ 270/5278] eta: 4:25:58 lr: 1.034729128721438e-05 loss: 0.0385 (0.0392) loss_seg: 0.0382 (0.0389) loss_lansim: 0.0258 (0.0260) loss_contra: 0.0002 (0.0016) time: 3.7462 data: 0.0045 max mem: 31630 Epoch: [33] [ 280/5278] eta: 4:27:23 lr: 1.0344752040007338e-05 loss: 0.0385 (0.0392) loss_seg: 0.0382 (0.0389) loss_lansim: 0.0257 (0.0260) loss_contra: 0.0002 (0.0016) time: 3.8583 data: 0.0045 max mem: 31630 Epoch: [33] [ 290/5278] eta: 4:26:10 lr: 1.0342212723544007e-05 loss: 0.0389 (0.0394) loss_seg: 0.0386 (0.0391) loss_lansim: 0.0257 (0.0259) loss_contra: 0.0002 (0.0015) time: 3.8926 data: 0.0044 max mem: 31630 Epoch: [33] [ 300/5278] eta: 4:25:49 lr: 1.0339673337803609e-05 loss: 0.0370 (0.0392) loss_seg: 0.0367 (0.0389) loss_lansim: 0.0255 (0.0258) loss_contra: 0.0001 (0.0015) time: 3.6708 data: 0.0044 max mem: 31630 Epoch: [33] [ 310/5278] eta: 4:26:58 lr: 1.0337133882765335e-05 loss: 0.0369 (0.0391) loss_seg: 0.0367 (0.0388) loss_lansim: 0.0254 (0.0259) loss_contra: 0.0001 (0.0016) time: 3.7099 data: 0.0043 max mem: 31630 Epoch: [33] [ 320/5278] eta: 4:27:20 lr: 1.0334594358408384e-05 loss: 0.0365 (0.0392) loss_seg: 0.0362 (0.0389) loss_lansim: 0.0255 (0.0259) loss_contra: 0.0001 (0.0015) time: 3.7165 data: 0.0043 max mem: 31630 Epoch: [33] [ 330/5278] eta: 4:27:32 lr: 1.0332054764711937e-05 loss: 0.0363 (0.0391) loss_seg: 0.0361 (0.0388) loss_lansim: 0.0252 (0.0258) loss_contra: 0.0001 (0.0015) time: 3.7524 data: 0.0043 max mem: 31630 Epoch: [33] [ 340/5278] eta: 4:27:41 lr: 1.0329515101655161e-05 loss: 0.0360 (0.0391) loss_seg: 0.0357 (0.0388) loss_lansim: 0.0250 (0.0258) loss_contra: 0.0001 (0.0015) time: 3.6837 data: 0.0042 max mem: 31630 Epoch: [33] [ 350/5278] eta: 4:28:25 lr: 1.0326975369217223e-05 loss: 0.0354 (0.0390) loss_seg: 0.0351 (0.0388) loss_lansim: 0.0249 (0.0258) loss_contra: 0.0001 (0.0016) time: 3.5795 data: 0.0042 max mem: 31630 Epoch: [33] [ 360/5278] eta: 4:27:59 lr: 1.0324435567377249e-05 loss: 0.0355 (0.0390) loss_seg: 0.0351 (0.0388) loss_lansim: 0.0249 (0.0258) loss_contra: 0.0002 (0.0015) time: 3.5787 data: 0.0043 max mem: 31630 Epoch: [33] [ 370/5278] eta: 4:26:45 lr: 1.032189569611438e-05 loss: 0.0355 (0.0390) loss_seg: 0.0351 (0.0387) loss_lansim: 0.0252 (0.0258) loss_contra: 0.0002 (0.0015) time: 3.4636 data: 0.0043 max mem: 31630 Epoch: [33] [ 380/5278] eta: 4:26:32 lr: 1.0319355755407738e-05 loss: 0.0353 (0.0391) loss_seg: 0.0351 (0.0388) loss_lansim: 0.0249 (0.0258) loss_contra: 0.0002 (0.0015) time: 3.4199 data: 0.0043 max mem: 31630 Epoch: [33] [ 390/5278] eta: 4:24:53 lr: 1.0316815745236438e-05 loss: 0.0349 (0.0391) loss_seg: 0.0345 (0.0388) loss_lansim: 0.0252 (0.0258) loss_contra: 0.0002 (0.0015) time: 3.3966 data: 0.0043 max mem: 31630 Epoch: [33] [ 400/5278] eta: 4:23:19 lr: 1.0314275665579564e-05 loss: 0.0353 (0.0390) loss_seg: 0.0351 (0.0387) loss_lansim: 0.0254 (0.0259) loss_contra: 0.0002 (0.0015) time: 3.3438 data: 0.0044 max mem: 31630 Epoch: [33] [ 410/5278] eta: 4:21:48 lr: 1.0311735516416205e-05 loss: 0.0349 (0.0389) loss_seg: 0.0345 (0.0386) loss_lansim: 0.0254 (0.0259) loss_contra: 0.0002 (0.0015) time: 3.2353 data: 0.0044 max mem: 31630 Epoch: [33] [ 420/5278] eta: 4:20:21 lr: 1.0309195297725436e-05 loss: 0.0341 (0.0388) loss_seg: 0.0338 (0.0385) loss_lansim: 0.0254 (0.0259) loss_contra: 0.0002 (0.0015) time: 3.1525 data: 0.0045 max mem: 31630 Epoch: [33] [ 430/5278] eta: 4:18:57 lr: 1.0306655009486324e-05 loss: 0.0350 (0.0392) loss_seg: 0.0347 (0.0389) loss_lansim: 0.0254 (0.0259) loss_contra: 0.0003 (0.0015) time: 3.0744 data: 0.0046 max mem: 31630 Epoch: [33] [ 440/5278] eta: 4:17:34 lr: 1.0304114651677903e-05 loss: 0.0341 (0.0390) loss_seg: 0.0338 (0.0388) loss_lansim: 0.0255 (0.0259) loss_contra: 0.0003 (0.0015) time: 2.9954 data: 0.0047 max mem: 31630 Epoch: [33] [ 450/5278] eta: 4:16:11 lr: 1.0301574224279215e-05 loss: 0.0358 (0.0390) loss_seg: 0.0355 (0.0388) loss_lansim: 0.0258 (0.0259) loss_contra: 0.0002 (0.0015) time: 2.8880 data: 0.0048 max mem: 31630 Epoch: [33] [ 460/5278] eta: 4:14:51 lr: 1.029903372726929e-05 loss: 0.0358 (0.0390) loss_seg: 0.0355 (0.0387) loss_lansim: 0.0254 (0.0258) loss_contra: 0.0002 (0.0016) time: 2.8283 data: 0.0049 max mem: 31630 Epoch: [33] [ 470/5278] eta: 4:13:33 lr: 1.0296493160627138e-05 loss: 0.0358 (0.0389) loss_seg: 0.0355 (0.0387) loss_lansim: 0.0253 (0.0258) loss_contra: 0.0001 (0.0016) time: 2.8041 data: 0.0051 max mem: 31630 Epoch: [33] [ 480/5278] eta: 4:12:17 lr: 1.0293952524331753e-05 loss: 0.0354 (0.0389) loss_seg: 0.0352 (0.0386) loss_lansim: 0.0252 (0.0258) loss_contra: 0.0001 (0.0015) time: 2.7351 data: 0.0052 max mem: 31630 Epoch: [33] [ 490/5278] eta: 4:11:02 lr: 1.029141181836213e-05 loss: 0.0358 (0.0389) loss_seg: 0.0355 (0.0386) loss_lansim: 0.0251 (0.0257) loss_contra: 0.0001 (0.0015) time: 2.7331 data: 0.0053 max mem: 31630 Epoch: [33] [ 500/5278] eta: 4:09:53 lr: 1.0288871042697242e-05 loss: 0.0365 (0.0389) loss_seg: 0.0363 (0.0386) loss_lansim: 0.0249 (0.0257) loss_contra: 0.0001 (0.0016) time: 2.7332 data: 0.0053 max mem: 31630 Epoch: [33] [ 510/5278] eta: 4:08:45 lr: 1.028633019731606e-05 loss: 0.0365 (0.0388) loss_seg: 0.0363 (0.0386) loss_lansim: 0.0249 (0.0257) loss_contra: 0.0001 (0.0016) time: 2.7329 data: 0.0054 max mem: 31630 Epoch: [33] [ 520/5278] eta: 4:07:38 lr: 1.0283789282197522e-05 loss: 0.0374 (0.0390) loss_seg: 0.0372 (0.0387) loss_lansim: 0.0250 (0.0258) loss_contra: 0.0001 (0.0016) time: 2.7322 data: 0.0054 max mem: 31630 Epoch: [33] [ 530/5278] eta: 4:06:33 lr: 1.0281248297320578e-05 loss: 0.0373 (0.0390) loss_seg: 0.0370 (0.0388) loss_lansim: 0.0249 (0.0258) loss_contra: 0.0001 (0.0016) time: 2.7318 data: 0.0055 max mem: 31630 Epoch: [33] [ 540/5278] eta: 4:05:30 lr: 1.027870724266415e-05 loss: 0.0381 (0.0391) loss_seg: 0.0378 (0.0388) loss_lansim: 0.0251 (0.0258) loss_contra: 0.0001 (0.0016) time: 2.7320 data: 0.0055 max mem: 31630 Epoch: [33] [ 550/5278] eta: 4:04:27 lr: 1.0276166118207165e-05 loss: 0.0373 (0.0390) loss_seg: 0.0370 (0.0388) loss_lansim: 0.0252 (0.0258) loss_contra: 0.0001 (0.0016) time: 2.7341 data: 0.0055 max mem: 31630 Epoch: [33] [ 560/5278] eta: 4:03:26 lr: 1.0273624923928509e-05 loss: 0.0374 (0.0392) loss_seg: 0.0372 (0.0389) loss_lansim: 0.0255 (0.0258) loss_contra: 0.0002 (0.0018) time: 2.7370 data: 0.0056 max mem: 31630 Epoch: [33] [ 570/5278] eta: 4:02:26 lr: 1.0271083659807083e-05 loss: 0.0379 (0.0392) loss_seg: 0.0376 (0.0389) loss_lansim: 0.0258 (0.0259) loss_contra: 0.0002 (0.0018) time: 2.7389 data: 0.0057 max mem: 31630 Epoch: [33] [ 580/5278] eta: 4:01:25 lr: 1.0268542325821765e-05 loss: 0.0388 (0.0392) loss_seg: 0.0385 (0.0389) loss_lansim: 0.0257 (0.0258) loss_contra: 0.0002 (0.0019) time: 2.7388 data: 0.0057 max mem: 31630 Epoch: [33] [ 590/5278] eta: 4:00:25 lr: 1.0266000921951422e-05 loss: 0.0387 (0.0392) loss_seg: 0.0384 (0.0389) loss_lansim: 0.0259 (0.0258) loss_contra: 0.0002 (0.0019) time: 2.7389 data: 0.0057 max mem: 31630 Epoch: [33] [ 600/5278] eta: 3:59:26 lr: 1.0263459448174913e-05 loss: 0.0387 (0.0393) loss_seg: 0.0384 (0.0390) loss_lansim: 0.0259 (0.0259) loss_contra: 0.0002 (0.0018) time: 2.7363 data: 0.0057 max mem: 31630 Epoch: [33] [ 610/5278] eta: 3:58:28 lr: 1.026091790447107e-05 loss: 0.0392 (0.0392) loss_seg: 0.0388 (0.0390) loss_lansim: 0.0258 (0.0259) loss_contra: 0.0002 (0.0018) time: 2.7335 data: 0.0056 max mem: 31630 Epoch: [33] [ 620/5278] eta: 3:57:32 lr: 1.0258376290818726e-05 loss: 0.0379 (0.0392) loss_seg: 0.0376 (0.0389) loss_lansim: 0.0257 (0.0259) loss_contra: 0.0003 (0.0018) time: 2.7309 data: 0.0056 max mem: 31630 Epoch: [33] [ 630/5278] eta: 3:56:36 lr: 1.0255834607196702e-05 loss: 0.0387 (0.0392) loss_seg: 0.0384 (0.0389) loss_lansim: 0.0257 (0.0259) loss_contra: 0.0002 (0.0019) time: 2.7276 data: 0.0056 max mem: 31630 Epoch: [33] [ 640/5278] eta: 3:55:41 lr: 1.0253292853583807e-05 loss: 0.0387 (0.0392) loss_seg: 0.0384 (0.0389) loss_lansim: 0.0257 (0.0259) loss_contra: 0.0002 (0.0018) time: 2.7255 data: 0.0056 max mem: 31630 Epoch: [33] [ 650/5278] eta: 3:54:47 lr: 1.0250751029958825e-05 loss: 0.0387 (0.0392) loss_seg: 0.0384 (0.0389) loss_lansim: 0.0257 (0.0259) loss_contra: 0.0002 (0.0018) time: 2.7232 data: 0.0057 max mem: 31630 Epoch: [33] [ 660/5278] eta: 3:53:55 lr: 1.0248209136300541e-05 loss: 0.0387 (0.0392) loss_seg: 0.0384 (0.0389) loss_lansim: 0.0253 (0.0259) loss_contra: 0.0001 (0.0018) time: 2.7216 data: 0.0057 max mem: 31630 Epoch: [33] [ 670/5278] eta: 3:53:04 lr: 1.0245667172587726e-05 loss: 0.0389 (0.0394) loss_seg: 0.0387 (0.0391) loss_lansim: 0.0252 (0.0259) loss_contra: 0.0001 (0.0019) time: 2.7211 data: 0.0059 max mem: 31630 Epoch: [33] [ 680/5278] eta: 3:52:13 lr: 1.0243125138799139e-05 loss: 0.0389 (0.0394) loss_seg: 0.0387 (0.0391) loss_lansim: 0.0253 (0.0259) loss_contra: 0.0001 (0.0019) time: 2.7221 data: 0.0059 max mem: 31630 Epoch: [33] [ 690/5278] eta: 3:51:22 lr: 1.0240583034913514e-05 loss: 0.0389 (0.0393) loss_seg: 0.0386 (0.0391) loss_lansim: 0.0252 (0.0259) loss_contra: 0.0001 (0.0018) time: 2.7232 data: 0.0060 max mem: 31630 Epoch: [33] [ 700/5278] eta: 3:50:32 lr: 1.0238040860909587e-05 loss: 0.0380 (0.0393) loss_seg: 0.0377 (0.0390) loss_lansim: 0.0254 (0.0259) loss_contra: 0.0001 (0.0018) time: 2.7238 data: 0.0061 max mem: 31630 Epoch: [33] [ 710/5278] eta: 3:49:43 lr: 1.0235498616766082e-05 loss: 0.0389 (0.0394) loss_seg: 0.0387 (0.0391) loss_lansim: 0.0257 (0.0259) loss_contra: 0.0001 (0.0018) time: 2.7247 data: 0.0061 max mem: 31630 Epoch: [33] [ 720/5278] eta: 3:48:54 lr: 1.0232956302461708e-05 loss: 0.0396 (0.0394) loss_seg: 0.0394 (0.0392) loss_lansim: 0.0256 (0.0259) loss_contra: 0.0001 (0.0018) time: 2.7249 data: 0.0061 max mem: 31630 Epoch: [33] [ 730/5278] eta: 3:48:05 lr: 1.0230413917975148e-05 loss: 0.0389 (0.0394) loss_seg: 0.0387 (0.0391) loss_lansim: 0.0258 (0.0260) loss_contra: 0.0001 (0.0018) time: 2.7251 data: 0.0061 max mem: 31630 Epoch: [33] [ 740/5278] eta: 3:47:18 lr: 1.0227871463285094e-05 loss: 0.0377 (0.0394) loss_seg: 0.0374 (0.0391) loss_lansim: 0.0256 (0.0260) loss_contra: 0.0001 (0.0017) time: 2.7250 data: 0.0061 max mem: 31630 Epoch: [33] [ 750/5278] eta: 3:46:30 lr: 1.0225328938370211e-05 loss: 0.0387 (0.0395) loss_seg: 0.0384 (0.0392) loss_lansim: 0.0256 (0.0260) loss_contra: 0.0001 (0.0017) time: 2.7247 data: 0.0060 max mem: 31630 Epoch: [33] [ 760/5278] eta: 3:45:46 lr: 1.0222786343209168e-05 loss: 0.0377 (0.0395) loss_seg: 0.0374 (0.0392) loss_lansim: 0.0260 (0.0260) loss_contra: 0.0001 (0.0017) time: 2.7281 data: 0.0059 max mem: 31630 Epoch: [33] [ 770/5278] eta: 3:45:03 lr: 1.0220243677780594e-05 loss: 0.0371 (0.0394) loss_seg: 0.0369 (0.0392) loss_lansim: 0.0262 (0.0260) loss_contra: 0.0001 (0.0017) time: 2.7311 data: 0.0058 max mem: 31630 Epoch: [33] [ 780/5278] eta: 3:44:20 lr: 1.0217700942063131e-05 loss: 0.0371 (0.0394) loss_seg: 0.0369 (0.0391) loss_lansim: 0.0262 (0.0260) loss_contra: 0.0001 (0.0017) time: 2.7355 data: 0.0058 max mem: 31630 Epoch: [33] [ 790/5278] eta: 3:43:37 lr: 1.0215158136035397e-05 loss: 0.0370 (0.0393) loss_seg: 0.0367 (0.0391) loss_lansim: 0.0262 (0.0260) loss_contra: 0.0001 (0.0017) time: 2.7399 data: 0.0056 max mem: 31630 Epoch: [33] [ 800/5278] eta: 3:42:56 lr: 1.021261525967601e-05 loss: 0.0366 (0.0393) loss_seg: 0.0364 (0.0390) loss_lansim: 0.0262 (0.0260) loss_contra: 0.0001 (0.0017) time: 2.7453 data: 0.0056 max mem: 31630 Epoch: [33] [ 810/5278] eta: 3:42:12 lr: 1.0210072312963548e-05 loss: 0.0365 (0.0394) loss_seg: 0.0362 (0.0392) loss_lansim: 0.0256 (0.0260) loss_contra: 0.0001 (0.0017) time: 2.7470 data: 0.0055 max mem: 31630 Epoch: [33] [ 820/5278] eta: 3:41:29 lr: 1.0207529295876604e-05 loss: 0.0366 (0.0395) loss_seg: 0.0363 (0.0392) loss_lansim: 0.0256 (0.0260) loss_contra: 0.0001 (0.0016) time: 2.7494 data: 0.0055 max mem: 31630 Epoch: [33] [ 830/5278] eta: 3:40:47 lr: 1.0204986208393749e-05 loss: 0.0369 (0.0396) loss_seg: 0.0366 (0.0393) loss_lansim: 0.0256 (0.0260) loss_contra: 0.0001 (0.0017) time: 2.7524 data: 0.0054 max mem: 31630 Epoch: [33] [ 840/5278] eta: 3:40:04 lr: 1.0202443050493538e-05 loss: 0.0369 (0.0396) loss_seg: 0.0366 (0.0393) loss_lansim: 0.0256 (0.0260) loss_contra: 0.0001 (0.0017) time: 2.7529 data: 0.0055 max mem: 31630 Epoch: [33] [ 850/5278] eta: 3:39:21 lr: 1.0199899822154528e-05 loss: 0.0364 (0.0396) loss_seg: 0.0362 (0.0393) loss_lansim: 0.0254 (0.0260) loss_contra: 0.0001 (0.0017) time: 2.7531 data: 0.0055 max mem: 31630 Epoch: [33] [ 860/5278] eta: 3:38:38 lr: 1.0197356523355237e-05 loss: 0.0369 (0.0396) loss_seg: 0.0366 (0.0394) loss_lansim: 0.0253 (0.0260) loss_contra: 0.0001 (0.0017) time: 2.7487 data: 0.0055 max mem: 31630 Epoch: [33] [ 870/5278] eta: 3:37:56 lr: 1.0194813154074192e-05 loss: 0.0364 (0.0396) loss_seg: 0.0362 (0.0393) loss_lansim: 0.0253 (0.0260) loss_contra: 0.0001 (0.0017) time: 2.7442 data: 0.0055 max mem: 31630 Epoch: [33] [ 880/5278] eta: 3:37:14 lr: 1.0192269714289902e-05 loss: 0.0366 (0.0396) loss_seg: 0.0363 (0.0393) loss_lansim: 0.0255 (0.0260) loss_contra: 0.0001 (0.0017) time: 2.7392 data: 0.0055 max mem: 31630 Epoch: [33] [ 890/5278] eta: 3:36:32 lr: 1.018972620398087e-05 loss: 0.0365 (0.0395) loss_seg: 0.0362 (0.0392) loss_lansim: 0.0252 (0.0260) loss_contra: 0.0001 (0.0017) time: 2.7340 data: 0.0055 max mem: 31630 Epoch: [33] [ 900/5278] eta: 3:35:51 lr: 1.0187182623125565e-05 loss: 0.0365 (0.0395) loss_seg: 0.0362 (0.0392) loss_lansim: 0.0251 (0.0260) loss_contra: 0.0001 (0.0016) time: 2.7281 data: 0.0055 max mem: 31630 Epoch: [33] [ 910/5278] eta: 3:35:10 lr: 1.0184638971702463e-05 loss: 0.0364 (0.0395) loss_seg: 0.0361 (0.0392) loss_lansim: 0.0254 (0.0260) loss_contra: 0.0001 (0.0016) time: 2.7258 data: 0.0055 max mem: 31630 Epoch: [33] [ 920/5278] eta: 3:34:29 lr: 1.0182095249690027e-05 loss: 0.0357 (0.0395) loss_seg: 0.0354 (0.0392) loss_lansim: 0.0255 (0.0260) loss_contra: 0.0001 (0.0016) time: 2.7232 data: 0.0056 max mem: 31630 Epoch: [33] [ 930/5278] eta: 3:33:49 lr: 1.0179551457066704e-05 loss: 0.0356 (0.0395) loss_seg: 0.0353 (0.0392) loss_lansim: 0.0256 (0.0260) loss_contra: 0.0002 (0.0016) time: 2.7202 data: 0.0056 max mem: 31630 Epoch: [33] [ 940/5278] eta: 3:33:08 lr: 1.017700759381092e-05 loss: 0.0351 (0.0395) loss_seg: 0.0348 (0.0392) loss_lansim: 0.0256 (0.0260) loss_contra: 0.0002 (0.0016) time: 2.7193 data: 0.0056 max mem: 31630 Epoch: [33] [ 950/5278] eta: 3:32:28 lr: 1.0174463659901095e-05 loss: 0.0351 (0.0395) loss_seg: 0.0348 (0.0392) loss_lansim: 0.0260 (0.0260) loss_contra: 0.0002 (0.0016) time: 2.7191 data: 0.0056 max mem: 31630 Epoch: [33] [ 960/5278] eta: 3:31:49 lr: 1.0171919655315642e-05 loss: 0.0348 (0.0395) loss_seg: 0.0345 (0.0392) loss_lansim: 0.0260 (0.0260) loss_contra: 0.0002 (0.0016) time: 2.7190 data: 0.0055 max mem: 31630 Epoch: [33] [ 970/5278] eta: 3:31:09 lr: 1.0169375580032963e-05 loss: 0.0356 (0.0395) loss_seg: 0.0352 (0.0392) loss_lansim: 0.0259 (0.0260) loss_contra: 0.0002 (0.0016) time: 2.7190 data: 0.0055 max mem: 31630 Epoch: [33] [ 980/5278] eta: 3:30:30 lr: 1.0166831434031424e-05 loss: 0.0357 (0.0395) loss_seg: 0.0353 (0.0393) loss_lansim: 0.0259 (0.0260) loss_contra: 0.0002 (0.0016) time: 2.7186 data: 0.0055 max mem: 31630 Epoch: [33] [ 990/5278] eta: 3:29:51 lr: 1.0164287217289404e-05 loss: 0.0360 (0.0395) loss_seg: 0.0358 (0.0392) loss_lansim: 0.0260 (0.0260) loss_contra: 0.0001 (0.0016) time: 2.7185 data: 0.0055 max mem: 31630 Epoch: [33] [1000/5278] eta: 3:29:13 lr: 1.0161742929785262e-05 loss: 0.0361 (0.0395) loss_seg: 0.0358 (0.0392) loss_lansim: 0.0260 (0.0260) loss_contra: 0.0002 (0.0016) time: 2.7182 data: 0.0055 max mem: 31630 Epoch: [33] [1010/5278] eta: 3:28:34 lr: 1.0159198571497345e-05 loss: 0.0361 (0.0395) loss_seg: 0.0358 (0.0392) loss_lansim: 0.0259 (0.0260) loss_contra: 0.0002 (0.0016) time: 2.7180 data: 0.0055 max mem: 31630 Epoch: [33] [1020/5278] eta: 3:27:56 lr: 1.0156654142403977e-05 loss: 0.0366 (0.0396) loss_seg: 0.0364 (0.0393) loss_lansim: 0.0255 (0.0260) loss_contra: 0.0002 (0.0015) time: 2.7186 data: 0.0056 max mem: 31630 Epoch: [33] [1030/5278] eta: 3:27:19 lr: 1.015410964248348e-05 loss: 0.0372 (0.0396) loss_seg: 0.0369 (0.0393) loss_lansim: 0.0255 (0.0260) loss_contra: 0.0002 (0.0015) time: 2.7215 data: 0.0055 max mem: 31630 Epoch: [33] [1040/5278] eta: 3:26:43 lr: 1.0151565071714165e-05 loss: 0.0374 (0.0395) loss_seg: 0.0371 (0.0392) loss_lansim: 0.0255 (0.0260) loss_contra: 0.0002 (0.0015) time: 2.7249 data: 0.0055 max mem: 31630 Epoch: [33] [1050/5278] eta: 3:26:06 lr: 1.014902043007433e-05 loss: 0.0377 (0.0396) loss_seg: 0.0374 (0.0393) loss_lansim: 0.0254 (0.0260) loss_contra: 0.0002 (0.0015) time: 2.7277 data: 0.0056 max mem: 31630 Epoch: [33] [1060/5278] eta: 3:25:30 lr: 1.0146475717542242e-05 loss: 0.0374 (0.0396) loss_seg: 0.0371 (0.0393) loss_lansim: 0.0254 (0.0260) loss_contra: 0.0002 (0.0015) time: 2.7311 data: 0.0056 max mem: 31630 Epoch: [33] [1070/5278] eta: 3:24:54 lr: 1.0143930934096179e-05 loss: 0.0377 (0.0396) loss_seg: 0.0374 (0.0393) loss_lansim: 0.0253 (0.0260) loss_contra: 0.0002 (0.0015) time: 2.7341 data: 0.0056 max mem: 31630 Epoch: [33] [1080/5278] eta: 3:24:18 lr: 1.0141386079714397e-05 loss: 0.0374 (0.0396) loss_seg: 0.0371 (0.0393) loss_lansim: 0.0249 (0.0260) loss_contra: 0.0002 (0.0015) time: 2.7373 data: 0.0057 max mem: 31630 Epoch: [33] [1090/5278] eta: 3:23:42 lr: 1.013884115437514e-05 loss: 0.0374 (0.0396) loss_seg: 0.0371 (0.0393) loss_lansim: 0.0251 (0.0260) loss_contra: 0.0002 (0.0015) time: 2.7400 data: 0.0057 max mem: 31630 Epoch: [33] [1100/5278] eta: 3:23:06 lr: 1.013629615805664e-05 loss: 0.0372 (0.0396) loss_seg: 0.0369 (0.0393) loss_lansim: 0.0254 (0.0260) loss_contra: 0.0002 (0.0016) time: 2.7428 data: 0.0057 max mem: 31630 Epoch: [33] [1110/5278] eta: 3:22:30 lr: 1.0133751090737107e-05 loss: 0.0374 (0.0396) loss_seg: 0.0371 (0.0393) loss_lansim: 0.0254 (0.0260) loss_contra: 0.0001 (0.0016) time: 2.7426 data: 0.0057 max mem: 31630 Epoch: [33] [1120/5278] eta: 3:21:53 lr: 1.0131205952394751e-05 loss: 0.0369 (0.0396) loss_seg: 0.0367 (0.0393) loss_lansim: 0.0255 (0.0260) loss_contra: 0.0001 (0.0016) time: 2.7417 data: 0.0056 max mem: 31630 Epoch: [33] [1130/5278] eta: 3:21:17 lr: 1.0128660743007764e-05 loss: 0.0363 (0.0395) loss_seg: 0.0360 (0.0392) loss_lansim: 0.0256 (0.0260) loss_contra: 0.0001 (0.0016) time: 2.7388 data: 0.0056 max mem: 31630 Epoch: [33] [1140/5278] eta: 3:20:41 lr: 1.0126115462554332e-05 loss: 0.0366 (0.0396) loss_seg: 0.0363 (0.0393) loss_lansim: 0.0256 (0.0260) loss_contra: 0.0002 (0.0016) time: 2.7349 data: 0.0056 max mem: 31630 Epoch: [33] [1150/5278] eta: 3:20:04 lr: 1.012357011101261e-05 loss: 0.0363 (0.0395) loss_seg: 0.0360 (0.0393) loss_lansim: 0.0256 (0.0260) loss_contra: 0.0001 (0.0016) time: 2.7314 data: 0.0056 max mem: 31630 Epoch: [33] [1160/5278] eta: 3:19:28 lr: 1.0121024688360756e-05 loss: 0.0363 (0.0396) loss_seg: 0.0360 (0.0393) loss_lansim: 0.0255 (0.0260) loss_contra: 0.0001 (0.0016) time: 2.7274 data: 0.0055 max mem: 31630 Epoch: [33] [1170/5278] eta: 3:18:52 lr: 1.0118479194576913e-05 loss: 0.0350 (0.0395) loss_seg: 0.0347 (0.0393) loss_lansim: 0.0257 (0.0260) loss_contra: 0.0001 (0.0016) time: 2.7239 data: 0.0055 max mem: 31630 Epoch: [33] [1180/5278] eta: 3:18:17 lr: 1.0115933629639213e-05 loss: 0.0352 (0.0395) loss_seg: 0.0349 (0.0393) loss_lansim: 0.0256 (0.0260) loss_contra: 0.0001 (0.0016) time: 2.7201 data: 0.0055 max mem: 31630 Epoch: [33] [1190/5278] eta: 3:17:41 lr: 1.0113387993525762e-05 loss: 0.0349 (0.0395) loss_seg: 0.0346 (0.0392) loss_lansim: 0.0256 (0.0260) loss_contra: 0.0001 (0.0016) time: 2.7169 data: 0.0055 max mem: 31630 Epoch: [33] [1200/5278] eta: 3:17:06 lr: 1.0110842286214669e-05 loss: 0.0349 (0.0395) loss_seg: 0.0347 (0.0393) loss_lansim: 0.0254 (0.0260) loss_contra: 0.0001 (0.0015) time: 2.7137 data: 0.0055 max mem: 31630 Epoch: [33] [1210/5278] eta: 3:16:31 lr: 1.010829650768402e-05 loss: 0.0352 (0.0395) loss_seg: 0.0350 (0.0393) loss_lansim: 0.0254 (0.0260) loss_contra: 0.0001 (0.0015) time: 2.7139 data: 0.0055 max mem: 31630 Epoch: [33] [1220/5278] eta: 3:15:56 lr: 1.01057506579119e-05 loss: 0.0352 (0.0396) loss_seg: 0.0350 (0.0393) loss_lansim: 0.0254 (0.0260) loss_contra: 0.0001 (0.0015) time: 2.7141 data: 0.0055 max mem: 31630 Epoch: [33] [1230/5278] eta: 3:15:21 lr: 1.0103204736876361e-05 loss: 0.0352 (0.0395) loss_seg: 0.0350 (0.0392) loss_lansim: 0.0256 (0.0260) loss_contra: 0.0001 (0.0015) time: 2.7143 data: 0.0055 max mem: 31630 Epoch: [33] [1240/5278] eta: 3:14:46 lr: 1.0100658744555459e-05 loss: 0.0352 (0.0395) loss_seg: 0.0349 (0.0392) loss_lansim: 0.0257 (0.0260) loss_contra: 0.0001 (0.0015) time: 2.7144 data: 0.0056 max mem: 31630 Epoch: [33] [1250/5278] eta: 3:14:11 lr: 1.0098112680927235e-05 loss: 0.0353 (0.0395) loss_seg: 0.0351 (0.0392) loss_lansim: 0.0256 (0.0260) loss_contra: 0.0001 (0.0015) time: 2.7146 data: 0.0056 max mem: 31630 Epoch: [33] [1260/5278] eta: 3:13:37 lr: 1.0095566545969717e-05 loss: 0.0352 (0.0394) loss_seg: 0.0349 (0.0392) loss_lansim: 0.0258 (0.0260) loss_contra: 0.0001 (0.0015) time: 2.7149 data: 0.0056 max mem: 31630 Epoch: [33] [1270/5278] eta: 3:13:02 lr: 1.0093020339660906e-05 loss: 0.0350 (0.0394) loss_seg: 0.0348 (0.0391) loss_lansim: 0.0257 (0.0260) loss_contra: 0.0002 (0.0015) time: 2.7155 data: 0.0056 max mem: 31630 Epoch: [33] [1280/5278] eta: 3:12:28 lr: 1.0090474061978807e-05 loss: 0.0340 (0.0393) loss_seg: 0.0338 (0.0391) loss_lansim: 0.0259 (0.0260) loss_contra: 0.0001 (0.0015) time: 2.7161 data: 0.0056 max mem: 31630 Epoch: [33] [1290/5278] eta: 3:11:55 lr: 1.0087927712901407e-05 loss: 0.0350 (0.0394) loss_seg: 0.0348 (0.0392) loss_lansim: 0.0262 (0.0260) loss_contra: 0.0001 (0.0015) time: 2.7190 data: 0.0056 max mem: 31630 Epoch: [33] [1300/5278] eta: 3:11:21 lr: 1.0085381292406686e-05 loss: 0.0353 (0.0394) loss_seg: 0.0351 (0.0392) loss_lansim: 0.0262 (0.0260) loss_contra: 0.0001 (0.0015) time: 2.7222 data: 0.0056 max mem: 31630 Epoch: [33] [1310/5278] eta: 3:10:48 lr: 1.008283480047259e-05 loss: 0.0352 (0.0395) loss_seg: 0.0349 (0.0392) loss_lansim: 0.0262 (0.0261) loss_contra: 0.0001 (0.0015) time: 2.7256 data: 0.0056 max mem: 31630 Epoch: [33] [1320/5278] eta: 3:10:16 lr: 1.0080288237077076e-05 loss: 0.0355 (0.0395) loss_seg: 0.0352 (0.0392) loss_lansim: 0.0262 (0.0260) loss_contra: 0.0001 (0.0016) time: 2.7285 data: 0.0056 max mem: 31630 Epoch: [33] [1330/5278] eta: 3:09:43 lr: 1.0077741602198076e-05 loss: 0.0367 (0.0395) loss_seg: 0.0364 (0.0393) loss_lansim: 0.0262 (0.0260) loss_contra: 0.0001 (0.0016) time: 2.7315 data: 0.0056 max mem: 31630 Epoch: [33] [1340/5278] eta: 3:09:10 lr: 1.0075194895813512e-05 loss: 0.0367 (0.0395) loss_seg: 0.0364 (0.0393) loss_lansim: 0.0260 (0.0260) loss_contra: 0.0001 (0.0016) time: 2.7345 data: 0.0056 max mem: 31630 Epoch: [33] [1350/5278] eta: 3:08:37 lr: 1.0072648117901296e-05 loss: 0.0375 (0.0395) loss_seg: 0.0372 (0.0393) loss_lansim: 0.0262 (0.0261) loss_contra: 0.0001 (0.0016) time: 2.7374 data: 0.0056 max mem: 31630 Epoch: [33] [1360/5278] eta: 3:08:04 lr: 1.0070101268439316e-05 loss: 0.0376 (0.0396) loss_seg: 0.0373 (0.0393) loss_lansim: 0.0262 (0.0261) loss_contra: 0.0001 (0.0016) time: 2.7399 data: 0.0056 max mem: 31630 Epoch: [33] [1370/5278] eta: 3:07:31 lr: 1.0067554347405458e-05 loss: 0.0384 (0.0396) loss_seg: 0.0381 (0.0393) loss_lansim: 0.0262 (0.0261) loss_contra: 0.0001 (0.0016) time: 2.7403 data: 0.0056 max mem: 31630 Epoch: [33] [1380/5278] eta: 3:06:57 lr: 1.006500735477759e-05 loss: 0.0388 (0.0395) loss_seg: 0.0385 (0.0392) loss_lansim: 0.0261 (0.0261) loss_contra: 0.0001 (0.0016) time: 2.7395 data: 0.0056 max mem: 31630 Epoch: [33] [1390/5278] eta: 3:06:24 lr: 1.0062460290533576e-05 loss: 0.0384 (0.0396) loss_seg: 0.0381 (0.0393) loss_lansim: 0.0257 (0.0261) loss_contra: 0.0001 (0.0016) time: 2.7366 data: 0.0056 max mem: 31630 Epoch: [33] [1400/5278] eta: 3:05:51 lr: 1.0059913154651246e-05 loss: 0.0384 (0.0396) loss_seg: 0.0381 (0.0393) loss_lansim: 0.0260 (0.0261) loss_contra: 0.0002 (0.0016) time: 2.7341 data: 0.0056 max mem: 31630 Epoch: [33] [1410/5278] eta: 3:05:17 lr: 1.0057365947108437e-05 loss: 0.0368 (0.0396) loss_seg: 0.0364 (0.0393) loss_lansim: 0.0261 (0.0261) loss_contra: 0.0002 (0.0016) time: 2.7297 data: 0.0057 max mem: 31630 Epoch: [33] [1420/5278] eta: 3:04:44 lr: 1.0054818667882965e-05 loss: 0.0366 (0.0396) loss_seg: 0.0364 (0.0393) loss_lansim: 0.0261 (0.0261) loss_contra: 0.0002 (0.0016) time: 2.7260 data: 0.0057 max mem: 31630 Epoch: [33] [1430/5278] eta: 3:04:11 lr: 1.005227131695264e-05 loss: 0.0361 (0.0396) loss_seg: 0.0358 (0.0393) loss_lansim: 0.0259 (0.0261) loss_contra: 0.0002 (0.0016) time: 2.7227 data: 0.0057 max mem: 31630 Epoch: [33] [1440/5278] eta: 3:03:38 lr: 1.004972389429524e-05 loss: 0.0368 (0.0396) loss_seg: 0.0364 (0.0393) loss_lansim: 0.0260 (0.0261) loss_contra: 0.0002 (0.0016) time: 2.7199 data: 0.0056 max mem: 31630 Epoch: [33] [1450/5278] eta: 3:03:05 lr: 1.004717639988855e-05 loss: 0.0358 (0.0396) loss_seg: 0.0356 (0.0393) loss_lansim: 0.0255 (0.0261) loss_contra: 0.0002 (0.0016) time: 2.7175 data: 0.0056 max mem: 31630 Epoch: [33] [1460/5278] eta: 3:02:33 lr: 1.0044628833710334e-05 loss: 0.0358 (0.0395) loss_seg: 0.0356 (0.0393) loss_lansim: 0.0254 (0.0261) loss_contra: 0.0002 (0.0016) time: 2.7152 data: 0.0056 max mem: 31630 Epoch: [33] [1470/5278] eta: 3:02:00 lr: 1.0042081195738348e-05 loss: 0.0366 (0.0396) loss_seg: 0.0364 (0.0393) loss_lansim: 0.0255 (0.0261) loss_contra: 0.0002 (0.0016) time: 2.7155 data: 0.0056 max mem: 31630 Epoch: [33] [1480/5278] eta: 3:01:28 lr: 1.003953348595032e-05 loss: 0.0366 (0.0396) loss_seg: 0.0364 (0.0393) loss_lansim: 0.0254 (0.0261) loss_contra: 0.0002 (0.0016) time: 2.7170 data: 0.0056 max mem: 31630 Epoch: [33] [1490/5278] eta: 3:00:56 lr: 1.0036985704323979e-05 loss: 0.0366 (0.0396) loss_seg: 0.0364 (0.0393) loss_lansim: 0.0254 (0.0261) loss_contra: 0.0002 (0.0016) time: 2.7181 data: 0.0056 max mem: 31630 Epoch: [33] [1500/5278] eta: 3:00:24 lr: 1.0034437850837038e-05 loss: 0.0374 (0.0397) loss_seg: 0.0371 (0.0394) loss_lansim: 0.0251 (0.0261) loss_contra: 0.0002 (0.0016) time: 2.7188 data: 0.0056 max mem: 31630 Epoch: [33] [1510/5278] eta: 2:59:52 lr: 1.00318899254672e-05 loss: 0.0377 (0.0397) loss_seg: 0.0374 (0.0394) loss_lansim: 0.0246 (0.0260) loss_contra: 0.0002 (0.0016) time: 2.7210 data: 0.0056 max mem: 31630 Epoch: [33] [1520/5278] eta: 2:59:20 lr: 1.0029341928192139e-05 loss: 0.0380 (0.0397) loss_seg: 0.0378 (0.0394) loss_lansim: 0.0244 (0.0260) loss_contra: 0.0002 (0.0016) time: 2.7228 data: 0.0056 max mem: 31630 Epoch: [33] [1530/5278] eta: 2:58:48 lr: 1.0026793858989535e-05 loss: 0.0382 (0.0398) loss_seg: 0.0379 (0.0395) loss_lansim: 0.0244 (0.0260) loss_contra: 0.0002 (0.0016) time: 2.7242 data: 0.0057 max mem: 31630 Epoch: [33] [1540/5278] eta: 2:58:16 lr: 1.0024245717837042e-05 loss: 0.0379 (0.0398) loss_seg: 0.0375 (0.0395) loss_lansim: 0.0244 (0.0260) loss_contra: 0.0002 (0.0016) time: 2.7252 data: 0.0057 max mem: 31630 Epoch: [33] [1550/5278] eta: 2:57:44 lr: 1.0021697504712318e-05 loss: 0.0386 (0.0397) loss_seg: 0.0383 (0.0395) loss_lansim: 0.0240 (0.0260) loss_contra: 0.0002 (0.0016) time: 2.7261 data: 0.0057 max mem: 31630 Epoch: [33] [1560/5278] eta: 2:57:12 lr: 1.001914921959298e-05 loss: 0.0399 (0.0397) loss_seg: 0.0396 (0.0395) loss_lansim: 0.0242 (0.0260) loss_contra: 0.0002 (0.0016) time: 2.7279 data: 0.0057 max mem: 31630 Epoch: [33] [1570/5278] eta: 2:56:41 lr: 1.0016600862456648e-05 loss: 0.0394 (0.0397) loss_seg: 0.0391 (0.0395) loss_lansim: 0.0242 (0.0260) loss_contra: 0.0003 (0.0016) time: 2.7292 data: 0.0058 max mem: 31630 Epoch: [33] [1580/5278] eta: 2:56:09 lr: 1.0014052433280936e-05 loss: 0.0394 (0.0398) loss_seg: 0.0391 (0.0395) loss_lansim: 0.0240 (0.0260) loss_contra: 0.0003 (0.0016) time: 2.7304 data: 0.0058 max mem: 31630 Epoch: [33] [1590/5278] eta: 2:55:38 lr: 1.0011503932043433e-05 loss: 0.0399 (0.0398) loss_seg: 0.0397 (0.0395) loss_lansim: 0.0239 (0.0260) loss_contra: 0.0003 (0.0016) time: 2.7322 data: 0.0058 max mem: 31630 Epoch: [33] [1600/5278] eta: 2:55:07 lr: 1.0008955358721723e-05 loss: 0.0382 (0.0398) loss_seg: 0.0379 (0.0395) loss_lansim: 0.0237 (0.0260) loss_contra: 0.0002 (0.0016) time: 2.7334 data: 0.0057 max mem: 31630 Epoch: [33] [1610/5278] eta: 2:54:36 lr: 1.0006406713293363e-05 loss: 0.0381 (0.0398) loss_seg: 0.0377 (0.0395) loss_lansim: 0.0235 (0.0259) loss_contra: 0.0003 (0.0016) time: 2.7339 data: 0.0057 max mem: 31630 Epoch: [33] [1620/5278] eta: 2:54:04 lr: 1.0003857995735907e-05 loss: 0.0377 (0.0398) loss_seg: 0.0375 (0.0395) loss_lansim: 0.0241 (0.0259) loss_contra: 0.0003 (0.0016) time: 2.7347 data: 0.0056 max mem: 31630 Epoch: [33] [1630/5278] eta: 2:53:33 lr: 1.0001309206026897e-05 loss: 0.0375 (0.0398) loss_seg: 0.0372 (0.0395) loss_lansim: 0.0237 (0.0259) loss_contra: 0.0003 (0.0016) time: 2.7336 data: 0.0056 max mem: 31630 Epoch: [33] [1640/5278] eta: 2:53:00 lr: 9.998760344143863e-06 loss: 0.0373 (0.0398) loss_seg: 0.0371 (0.0395) loss_lansim: 0.0236 (0.0259) loss_contra: 0.0003 (0.0016) time: 2.7299 data: 0.0057 max mem: 31630 Epoch: [33] [1650/5278] eta: 2:52:29 lr: 9.996211410064307e-06 loss: 0.0377 (0.0398) loss_seg: 0.0375 (0.0395) loss_lansim: 0.0237 (0.0259) loss_contra: 0.0003 (0.0016) time: 2.7297 data: 0.0057 max mem: 31630 Epoch: [33] [1660/5278] eta: 2:51:57 lr: 9.993662403765734e-06 loss: 0.0363 (0.0398) loss_seg: 0.0360 (0.0395) loss_lansim: 0.0236 (0.0259) loss_contra: 0.0003 (0.0016) time: 2.7272 data: 0.0057 max mem: 31630 Epoch: [33] [1670/5278] eta: 2:51:26 lr: 9.991113325225629e-06 loss: 0.0362 (0.0398) loss_seg: 0.0359 (0.0395) loss_lansim: 0.0234 (0.0259) loss_contra: 0.0003 (0.0016) time: 2.7254 data: 0.0057 max mem: 31630 Epoch: [33] [1680/5278] eta: 2:50:55 lr: 9.98856417442147e-06 loss: 0.0368 (0.0399) loss_seg: 0.0366 (0.0397) loss_lansim: 0.0237 (0.0259) loss_contra: 0.0002 (0.0016) time: 2.7222 data: 0.0056 max mem: 31630 Epoch: [33] [1690/5278] eta: 2:50:23 lr: 9.986014951330703e-06 loss: 0.0361 (0.0399) loss_seg: 0.0356 (0.0396) loss_lansim: 0.0239 (0.0259) loss_contra: 0.0002 (0.0016) time: 2.7180 data: 0.0055 max mem: 31630 Epoch: [33] [1700/5278] eta: 2:49:57 lr: 9.983465655930782e-06 loss: 0.0362 (0.0399) loss_seg: 0.0359 (0.0396) loss_lansim: 0.0240 (0.0259) loss_contra: 0.0002 (0.0016) time: 2.7405 data: 0.0055 max mem: 31630 Epoch: [33] [1710/5278] eta: 2:50:13 lr: 9.980916288199137e-06 loss: 0.0362 (0.0399) loss_seg: 0.0359 (0.0396) loss_lansim: 0.0241 (0.0259) loss_contra: 0.0002 (0.0016) time: 2.9666 data: 0.0055 max mem: 31630 Epoch: [33] [1720/5278] eta: 2:50:07 lr: 9.978366848113192e-06 loss: 0.0362 (0.0399) loss_seg: 0.0359 (0.0396) loss_lansim: 0.0240 (0.0259) loss_contra: 0.0002 (0.0016) time: 3.0871 data: 0.0054 max mem: 31630 Epoch: [33] [1730/5278] eta: 2:49:54 lr: 9.975817335650343e-06 loss: 0.0354 (0.0399) loss_seg: 0.0350 (0.0396) loss_lansim: 0.0240 (0.0259) loss_contra: 0.0002 (0.0016) time: 3.1817 data: 0.0052 max mem: 31630 Epoch: [33] [1740/5278] eta: 2:49:44 lr: 9.973267750787981e-06 loss: 0.0363 (0.0400) loss_seg: 0.0359 (0.0397) loss_lansim: 0.0241 (0.0258) loss_contra: 0.0002 (0.0016) time: 3.2923 data: 0.0050 max mem: 31630 Epoch: [33] [1750/5278] eta: 2:49:48 lr: 9.970718093503493e-06 loss: 0.0361 (0.0399) loss_seg: 0.0356 (0.0397) loss_lansim: 0.0241 (0.0258) loss_contra: 0.0002 (0.0016) time: 3.4694 data: 0.0048 max mem: 31630 Epoch: [33] [1760/5278] eta: 2:49:26 lr: 9.968168363774242e-06 loss: 0.0367 (0.0400) loss_seg: 0.0365 (0.0397) loss_lansim: 0.0242 (0.0258) loss_contra: 0.0002 (0.0016) time: 3.5209 data: 0.0047 max mem: 31630 Epoch: [33] [1770/5278] eta: 2:49:17 lr: 9.965618561577571e-06 loss: 0.0367 (0.0399) loss_seg: 0.0365 (0.0397) loss_lansim: 0.0242 (0.0258) loss_contra: 0.0002 (0.0016) time: 3.6361 data: 0.0047 max mem: 31630 Epoch: [33] [1780/5278] eta: 2:49:08 lr: 9.963068686890822e-06 loss: 0.0364 (0.0399) loss_seg: 0.0362 (0.0397) loss_lansim: 0.0242 (0.0258) loss_contra: 0.0002 (0.0016) time: 3.7590 data: 0.0046 max mem: 31630 Epoch: [33] [1790/5278] eta: 2:48:59 lr: 9.96051873969132e-06 loss: 0.0375 (0.0399) loss_seg: 0.0372 (0.0396) loss_lansim: 0.0240 (0.0258) loss_contra: 0.0002 (0.0016) time: 3.8827 data: 0.0046 max mem: 31630 Epoch: [33] [1800/5278] eta: 2:48:59 lr: 9.957968719956375e-06 loss: 0.0365 (0.0399) loss_seg: 0.0362 (0.0396) loss_lansim: 0.0240 (0.0258) loss_contra: 0.0002 (0.0016) time: 4.0243 data: 0.0046 max mem: 31630 Epoch: [33] [1810/5278] eta: 2:48:39 lr: 9.95541862766329e-06 loss: 0.0365 (0.0399) loss_seg: 0.0362 (0.0396) loss_lansim: 0.0239 (0.0258) loss_contra: 0.0002 (0.0016) time: 3.8667 data: 0.0046 max mem: 31630 Epoch: [33] [1820/5278] eta: 2:48:34 lr: 9.952868462789334e-06 loss: 0.0365 (0.0399) loss_seg: 0.0363 (0.0396) loss_lansim: 0.0237 (0.0258) loss_contra: 0.0002 (0.0016) time: 3.8925 data: 0.0047 max mem: 31630 Epoch: [33] [1830/5278] eta: 2:48:24 lr: 9.950318225311787e-06 loss: 0.0375 (0.0399) loss_seg: 0.0372 (0.0396) loss_lansim: 0.0235 (0.0258) loss_contra: 0.0002 (0.0016) time: 3.9179 data: 0.0048 max mem: 31630 Epoch: [33] [1840/5278] eta: 2:48:07 lr: 9.947767915207901e-06 loss: 0.0371 (0.0399) loss_seg: 0.0369 (0.0396) loss_lansim: 0.0238 (0.0258) loss_contra: 0.0002 (0.0016) time: 3.9000 data: 0.0048 max mem: 31630 Epoch: [33] [1850/5278] eta: 2:47:54 lr: 9.945217532454928e-06 loss: 0.0378 (0.0399) loss_seg: 0.0375 (0.0396) loss_lansim: 0.0238 (0.0258) loss_contra: 0.0002 (0.0016) time: 3.8335 data: 0.0049 max mem: 31630 Epoch: [33] [1860/5278] eta: 2:47:38 lr: 9.942667077030083e-06 loss: 0.0375 (0.0399) loss_seg: 0.0372 (0.0396) loss_lansim: 0.0238 (0.0257) loss_contra: 0.0002 (0.0016) time: 3.8755 data: 0.0050 max mem: 31630 Epoch: [33] [1870/5278] eta: 2:47:18 lr: 9.940116548910588e-06 loss: 0.0370 (0.0399) loss_seg: 0.0368 (0.0396) loss_lansim: 0.0239 (0.0257) loss_contra: 0.0003 (0.0018) time: 3.8368 data: 0.0050 max mem: 31630 Epoch: [33] [1880/5278] eta: 2:46:59 lr: 9.937565948073643e-06 loss: 0.0370 (0.0399) loss_seg: 0.0368 (0.0396) loss_lansim: 0.0237 (0.0257) loss_contra: 0.0003 (0.0018) time: 3.7953 data: 0.0050 max mem: 31630 Epoch: [33] [1890/5278] eta: 2:46:38 lr: 9.935015274496444e-06 loss: 0.0373 (0.0399) loss_seg: 0.0370 (0.0396) loss_lansim: 0.0239 (0.0257) loss_contra: 0.0003 (0.0018) time: 3.7420 data: 0.0050 max mem: 31630 Epoch: [33] [1900/5278] eta: 2:46:38 lr: 9.932464528156152e-06 loss: 0.0381 (0.0399) loss_seg: 0.0379 (0.0396) loss_lansim: 0.0240 (0.0257) loss_contra: 0.0003 (0.0018) time: 3.7624 data: 0.0050 max mem: 31630 Epoch: [33] [1910/5278] eta: 2:46:15 lr: 9.929913709029935e-06 loss: 0.0388 (0.0400) loss_seg: 0.0385 (0.0397) loss_lansim: 0.0240 (0.0257) loss_contra: 0.0003 (0.0018) time: 3.7559 data: 0.0049 max mem: 31630 Epoch: [33] [1920/5278] eta: 2:45:50 lr: 9.92736281709494e-06 loss: 0.0381 (0.0400) loss_seg: 0.0379 (0.0397) loss_lansim: 0.0243 (0.0257) loss_contra: 0.0003 (0.0018) time: 3.6586 data: 0.0049 max mem: 31630 Epoch: [33] [1930/5278] eta: 2:45:46 lr: 9.924811852328305e-06 loss: 0.0379 (0.0400) loss_seg: 0.0377 (0.0398) loss_lansim: 0.0244 (0.0257) loss_contra: 0.0003 (0.0018) time: 3.7089 data: 0.0049 max mem: 31630 Epoch: [33] [1940/5278] eta: 2:45:23 lr: 9.922260814707136e-06 loss: 0.0379 (0.0401) loss_seg: 0.0377 (0.0398) loss_lansim: 0.0244 (0.0257) loss_contra: 0.0003 (0.0018) time: 3.6843 data: 0.0049 max mem: 31630 Epoch: [33] [1950/5278] eta: 2:45:11 lr: 9.919709704208548e-06 loss: 0.0374 (0.0401) loss_seg: 0.0371 (0.0398) loss_lansim: 0.0243 (0.0257) loss_contra: 0.0003 (0.0019) time: 3.7024 data: 0.0049 max mem: 31630 Epoch: [33] [1960/5278] eta: 2:44:39 lr: 9.917158520809631e-06 loss: 0.0374 (0.0401) loss_seg: 0.0371 (0.0398) loss_lansim: 0.0244 (0.0257) loss_contra: 0.0003 (0.0019) time: 3.6268 data: 0.0049 max mem: 31630 Epoch: [33] [1970/5278] eta: 2:44:05 lr: 9.914607264487472e-06 loss: 0.0383 (0.0401) loss_seg: 0.0381 (0.0398) loss_lansim: 0.0247 (0.0257) loss_contra: 0.0003 (0.0019) time: 3.5501 data: 0.0049 max mem: 31630 Epoch: [33] [1980/5278] eta: 2:43:31 lr: 9.912055935219121e-06 loss: 0.0383 (0.0401) loss_seg: 0.0381 (0.0398) loss_lansim: 0.0246 (0.0257) loss_contra: 0.0003 (0.0019) time: 3.4688 data: 0.0050 max mem: 31630 Epoch: [33] [1990/5278] eta: 2:42:57 lr: 9.909504532981635e-06 loss: 0.0383 (0.0401) loss_seg: 0.0380 (0.0399) loss_lansim: 0.0249 (0.0257) loss_contra: 0.0002 (0.0019) time: 3.4005 data: 0.0051 max mem: 31630 Epoch: [33] [2000/5278] eta: 2:42:23 lr: 9.906953057752051e-06 loss: 0.0383 (0.0401) loss_seg: 0.0381 (0.0399) loss_lansim: 0.0247 (0.0257) loss_contra: 0.0002 (0.0019) time: 3.2136 data: 0.0053 max mem: 31630 Epoch: [33] [2010/5278] eta: 2:41:49 lr: 9.9044015095074e-06 loss: 0.0383 (0.0401) loss_seg: 0.0380 (0.0399) loss_lansim: 0.0245 (0.0257) loss_contra: 0.0002 (0.0019) time: 3.1496 data: 0.0054 max mem: 31630 Epoch: [33] [2020/5278] eta: 2:41:15 lr: 9.901849888224676e-06 loss: 0.0383 (0.0401) loss_seg: 0.0380 (0.0398) loss_lansim: 0.0245 (0.0257) loss_contra: 0.0002 (0.0019) time: 3.0979 data: 0.0055 max mem: 31630 Epoch: [33] [2030/5278] eta: 2:40:42 lr: 9.899298193880885e-06 loss: 0.0378 (0.0401) loss_seg: 0.0376 (0.0398) loss_lansim: 0.0242 (0.0257) loss_contra: 0.0002 (0.0019) time: 2.9278 data: 0.0056 max mem: 31630 Epoch: [33] [2040/5278] eta: 2:40:08 lr: 9.896746426453005e-06 loss: 0.0380 (0.0401) loss_seg: 0.0378 (0.0398) loss_lansim: 0.0242 (0.0257) loss_contra: 0.0002 (0.0019) time: 2.8619 data: 0.0057 max mem: 31630 Epoch: [33] [2050/5278] eta: 2:39:34 lr: 9.894194585918005e-06 loss: 0.0380 (0.0401) loss_seg: 0.0378 (0.0398) loss_lansim: 0.0243 (0.0257) loss_contra: 0.0002 (0.0019) time: 2.7321 data: 0.0058 max mem: 31630 Epoch: [33] [2060/5278] eta: 2:39:01 lr: 9.891642672252845e-06 loss: 0.0373 (0.0401) loss_seg: 0.0370 (0.0398) loss_lansim: 0.0242 (0.0256) loss_contra: 0.0002 (0.0019) time: 2.7143 data: 0.0059 max mem: 31630 Epoch: [33] [2070/5278] eta: 2:38:27 lr: 9.889090685434454e-06 loss: 0.0372 (0.0401) loss_seg: 0.0370 (0.0398) loss_lansim: 0.0237 (0.0256) loss_contra: 0.0002 (0.0019) time: 2.7139 data: 0.0059 max mem: 31630 Epoch: [33] [2080/5278] eta: 2:37:54 lr: 9.886538625439763e-06 loss: 0.0372 (0.0401) loss_seg: 0.0369 (0.0398) loss_lansim: 0.0239 (0.0256) loss_contra: 0.0002 (0.0019) time: 2.7146 data: 0.0059 max mem: 31630 Epoch: [33] [2090/5278] eta: 2:37:20 lr: 9.883986492245685e-06 loss: 0.0371 (0.0401) loss_seg: 0.0369 (0.0398) loss_lansim: 0.0239 (0.0256) loss_contra: 0.0002 (0.0018) time: 2.7143 data: 0.0058 max mem: 31630 Epoch: [33] [2100/5278] eta: 2:36:47 lr: 9.881434285829125e-06 loss: 0.0371 (0.0400) loss_seg: 0.0369 (0.0398) loss_lansim: 0.0242 (0.0256) loss_contra: 0.0002 (0.0018) time: 2.7149 data: 0.0058 max mem: 31630 Epoch: [33] [2110/5278] eta: 2:36:14 lr: 9.878882006166954e-06 loss: 0.0369 (0.0400) loss_seg: 0.0366 (0.0397) loss_lansim: 0.0243 (0.0256) loss_contra: 0.0002 (0.0018) time: 2.7146 data: 0.0058 max mem: 31630 Epoch: [33] [2120/5278] eta: 2:35:41 lr: 9.87632965323605e-06 loss: 0.0371 (0.0400) loss_seg: 0.0369 (0.0397) loss_lansim: 0.0242 (0.0256) loss_contra: 0.0002 (0.0019) time: 2.7162 data: 0.0059 max mem: 31630 Epoch: [33] [2130/5278] eta: 2:35:08 lr: 9.87377722701327e-06 loss: 0.0369 (0.0400) loss_seg: 0.0367 (0.0397) loss_lansim: 0.0242 (0.0256) loss_contra: 0.0002 (0.0019) time: 2.7169 data: 0.0060 max mem: 31630 Epoch: [33] [2140/5278] eta: 2:34:35 lr: 9.87122472747546e-06 loss: 0.0367 (0.0400) loss_seg: 0.0365 (0.0397) loss_lansim: 0.0242 (0.0256) loss_contra: 0.0003 (0.0018) time: 2.7183 data: 0.0060 max mem: 31630 Epoch: [33] [2150/5278] eta: 2:34:02 lr: 9.86867215459944e-06 loss: 0.0379 (0.0400) loss_seg: 0.0372 (0.0397) loss_lansim: 0.0242 (0.0256) loss_contra: 0.0002 (0.0018) time: 2.7194 data: 0.0061 max mem: 31630 Epoch: [33] [2160/5278] eta: 2:33:29 lr: 9.866119508362028e-06 loss: 0.0380 (0.0400) loss_seg: 0.0378 (0.0397) loss_lansim: 0.0244 (0.0256) loss_contra: 0.0002 (0.0018) time: 2.7204 data: 0.0061 max mem: 31630 Epoch: [33] [2170/5278] eta: 2:32:56 lr: 9.863566788740027e-06 loss: 0.0377 (0.0400) loss_seg: 0.0372 (0.0397) loss_lansim: 0.0246 (0.0256) loss_contra: 0.0002 (0.0018) time: 2.7213 data: 0.0061 max mem: 31630 Epoch: [33] [2180/5278] eta: 2:32:23 lr: 9.861013995710228e-06 loss: 0.0377 (0.0400) loss_seg: 0.0372 (0.0397) loss_lansim: 0.0244 (0.0256) loss_contra: 0.0002 (0.0018) time: 2.7216 data: 0.0061 max mem: 31630 Epoch: [33] [2190/5278] eta: 2:31:50 lr: 9.858461129249392e-06 loss: 0.0370 (0.0400) loss_seg: 0.0367 (0.0397) loss_lansim: 0.0241 (0.0256) loss_contra: 0.0002 (0.0018) time: 2.7219 data: 0.0061 max mem: 31630 Epoch: [33] [2200/5278] eta: 2:31:18 lr: 9.855908189334283e-06 loss: 0.0365 (0.0400) loss_seg: 0.0363 (0.0397) loss_lansim: 0.0241 (0.0256) loss_contra: 0.0002 (0.0018) time: 2.7222 data: 0.0060 max mem: 31630 Epoch: [33] [2210/5278] eta: 2:30:45 lr: 9.853355175941648e-06 loss: 0.0377 (0.0400) loss_seg: 0.0372 (0.0397) loss_lansim: 0.0240 (0.0256) loss_contra: 0.0002 (0.0018) time: 2.7232 data: 0.0060 max mem: 31630 Epoch: [33] [2220/5278] eta: 2:30:12 lr: 9.850802089048222e-06 loss: 0.0377 (0.0400) loss_seg: 0.0375 (0.0397) loss_lansim: 0.0240 (0.0256) loss_contra: 0.0002 (0.0018) time: 2.7229 data: 0.0059 max mem: 31630 Epoch: [33] [2230/5278] eta: 2:29:40 lr: 9.848248928630709e-06 loss: 0.0377 (0.0400) loss_seg: 0.0375 (0.0397) loss_lansim: 0.0240 (0.0256) loss_contra: 0.0003 (0.0018) time: 2.7225 data: 0.0059 max mem: 31630 Epoch: [33] [2240/5278] eta: 2:29:07 lr: 9.845695694665819e-06 loss: 0.0374 (0.0400) loss_seg: 0.0372 (0.0397) loss_lansim: 0.0240 (0.0256) loss_contra: 0.0002 (0.0018) time: 2.7222 data: 0.0058 max mem: 31630 Epoch: [33] [2250/5278] eta: 2:28:35 lr: 9.84314238713024e-06 loss: 0.0363 (0.0400) loss_seg: 0.0360 (0.0397) loss_lansim: 0.0238 (0.0256) loss_contra: 0.0002 (0.0018) time: 2.7211 data: 0.0058 max mem: 31630 Epoch: [33] [2260/5278] eta: 2:28:02 lr: 9.84058900600065e-06 loss: 0.0361 (0.0400) loss_seg: 0.0359 (0.0397) loss_lansim: 0.0238 (0.0256) loss_contra: 0.0002 (0.0019) time: 2.7200 data: 0.0058 max mem: 31630 Epoch: [33] [2270/5278] eta: 2:27:30 lr: 9.838035551253696e-06 loss: 0.0373 (0.0400) loss_seg: 0.0370 (0.0397) loss_lansim: 0.0238 (0.0256) loss_contra: 0.0002 (0.0019) time: 2.7189 data: 0.0058 max mem: 31630 Epoch: [33] [2280/5278] eta: 2:26:57 lr: 9.835482022866036e-06 loss: 0.0374 (0.0400) loss_seg: 0.0372 (0.0397) loss_lansim: 0.0238 (0.0256) loss_contra: 0.0002 (0.0019) time: 2.7176 data: 0.0058 max mem: 31630 Epoch: [33] [2290/5278] eta: 2:26:25 lr: 9.832928420814296e-06 loss: 0.0396 (0.0401) loss_seg: 0.0393 (0.0398) loss_lansim: 0.0238 (0.0255) loss_contra: 0.0003 (0.0021) time: 2.7168 data: 0.0058 max mem: 31630 Epoch: [33] [2300/5278] eta: 2:25:52 lr: 9.830374745075097e-06 loss: 0.0373 (0.0400) loss_seg: 0.0370 (0.0397) loss_lansim: 0.0238 (0.0256) loss_contra: 0.0003 (0.0021) time: 2.7152 data: 0.0059 max mem: 31630 Epoch: [33] [2310/5278] eta: 2:25:20 lr: 9.82782099562505e-06 loss: 0.0373 (0.0400) loss_seg: 0.0370 (0.0398) loss_lansim: 0.0238 (0.0255) loss_contra: 0.0003 (0.0021) time: 2.7137 data: 0.0059 max mem: 31630 Epoch: [33] [2320/5278] eta: 2:24:48 lr: 9.825267172440726e-06 loss: 0.0361 (0.0400) loss_seg: 0.0358 (0.0397) loss_lansim: 0.0243 (0.0255) loss_contra: 0.0003 (0.0021) time: 2.7119 data: 0.0059 max mem: 31630 Epoch: [33] [2330/5278] eta: 2:24:15 lr: 9.82271327549871e-06 loss: 0.0363 (0.0400) loss_seg: 0.0360 (0.0397) loss_lansim: 0.0243 (0.0255) loss_contra: 0.0003 (0.0021) time: 2.7101 data: 0.0059 max mem: 31630 Epoch: [33] [2340/5278] eta: 2:23:43 lr: 9.820159304775562e-06 loss: 0.0357 (0.0400) loss_seg: 0.0354 (0.0397) loss_lansim: 0.0241 (0.0255) loss_contra: 0.0003 (0.0021) time: 2.7086 data: 0.0058 max mem: 31630 Epoch: [33] [2350/5278] eta: 2:23:11 lr: 9.817605260247837e-06 loss: 0.0357 (0.0400) loss_seg: 0.0354 (0.0397) loss_lansim: 0.0238 (0.0255) loss_contra: 0.0004 (0.0021) time: 2.7071 data: 0.0058 max mem: 31630 Epoch: [33] [2360/5278] eta: 2:22:39 lr: 9.815051141892052e-06 loss: 0.0354 (0.0400) loss_seg: 0.0351 (0.0397) loss_lansim: 0.0238 (0.0255) loss_contra: 0.0006 (0.0021) time: 2.7061 data: 0.0057 max mem: 31630 Epoch: [33] [2370/5278] eta: 2:22:06 lr: 9.812496949684732e-06 loss: 0.0354 (0.0400) loss_seg: 0.0350 (0.0397) loss_lansim: 0.0239 (0.0255) loss_contra: 0.0006 (0.0021) time: 2.7051 data: 0.0057 max mem: 31630 Epoch: [33] [2380/5278] eta: 2:21:35 lr: 9.809942683602383e-06 loss: 0.0354 (0.0400) loss_seg: 0.0350 (0.0397) loss_lansim: 0.0238 (0.0255) loss_contra: 0.0006 (0.0021) time: 2.7063 data: 0.0057 max mem: 31630 Epoch: [33] [2390/5278] eta: 2:21:03 lr: 9.807388343621498e-06 loss: 0.0347 (0.0400) loss_seg: 0.0345 (0.0397) loss_lansim: 0.0238 (0.0255) loss_contra: 0.0005 (0.0021) time: 2.7067 data: 0.0057 max mem: 31630 Epoch: [33] [2400/5278] eta: 2:20:31 lr: 9.804833929718542e-06 loss: 0.0348 (0.0400) loss_seg: 0.0345 (0.0397) loss_lansim: 0.0235 (0.0255) loss_contra: 0.0004 (0.0021) time: 2.7076 data: 0.0057 max mem: 31630 Epoch: [33] [2410/5278] eta: 2:19:59 lr: 9.802279441869982e-06 loss: 0.0348 (0.0400) loss_seg: 0.0345 (0.0397) loss_lansim: 0.0235 (0.0255) loss_contra: 0.0004 (0.0021) time: 2.7085 data: 0.0058 max mem: 31630 Epoch: [33] [2420/5278] eta: 2:19:27 lr: 9.799724880052263e-06 loss: 0.0349 (0.0400) loss_seg: 0.0346 (0.0397) loss_lansim: 0.0231 (0.0255) loss_contra: 0.0004 (0.0021) time: 2.7095 data: 0.0057 max mem: 31630 Epoch: [33] [2430/5278] eta: 2:18:55 lr: 9.797170244241825e-06 loss: 0.0349 (0.0400) loss_seg: 0.0345 (0.0397) loss_lansim: 0.0230 (0.0255) loss_contra: 0.0004 (0.0021) time: 2.7107 data: 0.0057 max mem: 31630 Epoch: [33] [2440/5278] eta: 2:18:24 lr: 9.794615534415072e-06 loss: 0.0357 (0.0400) loss_seg: 0.0355 (0.0397) loss_lansim: 0.0227 (0.0255) loss_contra: 0.0005 (0.0021) time: 2.7117 data: 0.0057 max mem: 31630 Epoch: [33] [2450/5278] eta: 2:17:52 lr: 9.792060750548415e-06 loss: 0.0368 (0.0401) loss_seg: 0.0365 (0.0398) loss_lansim: 0.0229 (0.0254) loss_contra: 0.0003 (0.0021) time: 2.7132 data: 0.0057 max mem: 31630 Epoch: [33] [2460/5278] eta: 2:17:20 lr: 9.789505892618245e-06 loss: 0.0371 (0.0401) loss_seg: 0.0368 (0.0398) loss_lansim: 0.0229 (0.0254) loss_contra: 0.0003 (0.0021) time: 2.7148 data: 0.0057 max mem: 31630 Epoch: [33] [2470/5278] eta: 2:16:49 lr: 9.78695096060094e-06 loss: 0.0378 (0.0401) loss_seg: 0.0376 (0.0398) loss_lansim: 0.0229 (0.0254) loss_contra: 0.0003 (0.0021) time: 2.7161 data: 0.0057 max mem: 31630 Epoch: [33] [2480/5278] eta: 2:16:17 lr: 9.784395954472851e-06 loss: 0.0371 (0.0401) loss_seg: 0.0368 (0.0398) loss_lansim: 0.0229 (0.0254) loss_contra: 0.0003 (0.0021) time: 2.7160 data: 0.0057 max mem: 31630 Epoch: [33] [2490/5278] eta: 2:15:46 lr: 9.781840874210328e-06 loss: 0.0377 (0.0401) loss_seg: 0.0375 (0.0398) loss_lansim: 0.0229 (0.0254) loss_contra: 0.0003 (0.0021) time: 2.7156 data: 0.0057 max mem: 31630 Epoch: [33] [2500/5278] eta: 2:15:14 lr: 9.779285719789705e-06 loss: 0.0375 (0.0401) loss_seg: 0.0372 (0.0398) loss_lansim: 0.0229 (0.0254) loss_contra: 0.0003 (0.0021) time: 2.7159 data: 0.0057 max mem: 31630 Epoch: [33] [2510/5278] eta: 2:14:43 lr: 9.776730491187304e-06 loss: 0.0375 (0.0401) loss_seg: 0.0372 (0.0398) loss_lansim: 0.0229 (0.0254) loss_contra: 0.0003 (0.0021) time: 2.7158 data: 0.0056 max mem: 31630 Epoch: [33] [2520/5278] eta: 2:14:11 lr: 9.774175188379415e-06 loss: 0.0378 (0.0401) loss_seg: 0.0376 (0.0398) loss_lansim: 0.0230 (0.0254) loss_contra: 0.0003 (0.0021) time: 2.7159 data: 0.0056 max mem: 31630 Epoch: [33] [2530/5278] eta: 2:13:40 lr: 9.771619811342333e-06 loss: 0.0370 (0.0400) loss_seg: 0.0368 (0.0398) loss_lansim: 0.0230 (0.0254) loss_contra: 0.0003 (0.0021) time: 2.7163 data: 0.0056 max mem: 31630 Epoch: [33] [2540/5278] eta: 2:13:08 lr: 9.769064360052333e-06 loss: 0.0368 (0.0400) loss_seg: 0.0365 (0.0398) loss_lansim: 0.0231 (0.0254) loss_contra: 0.0003 (0.0022) time: 2.7162 data: 0.0056 max mem: 31630 Epoch: [33] [2550/5278] eta: 2:12:37 lr: 9.766508834485673e-06 loss: 0.0362 (0.0401) loss_seg: 0.0360 (0.0398) loss_lansim: 0.0231 (0.0254) loss_contra: 0.0003 (0.0022) time: 2.7157 data: 0.0057 max mem: 31630 Epoch: [33] [2560/5278] eta: 2:12:06 lr: 9.763953234618604e-06 loss: 0.0354 (0.0401) loss_seg: 0.0351 (0.0398) loss_lansim: 0.0230 (0.0254) loss_contra: 0.0003 (0.0022) time: 2.7157 data: 0.0058 max mem: 31630 Epoch: [33] [2570/5278] eta: 2:11:34 lr: 9.761397560427348e-06 loss: 0.0350 (0.0401) loss_seg: 0.0348 (0.0398) loss_lansim: 0.0230 (0.0254) loss_contra: 0.0003 (0.0022) time: 2.7155 data: 0.0058 max mem: 31630 Epoch: [33] [2580/5278] eta: 2:11:03 lr: 9.758841811888121e-06 loss: 0.0354 (0.0400) loss_seg: 0.0351 (0.0398) loss_lansim: 0.0230 (0.0254) loss_contra: 0.0003 (0.0022) time: 2.7137 data: 0.0058 max mem: 31630 Epoch: [33] [2590/5278] eta: 2:10:32 lr: 9.756285988977128e-06 loss: 0.0361 (0.0401) loss_seg: 0.0359 (0.0398) loss_lansim: 0.0230 (0.0254) loss_contra: 0.0003 (0.0022) time: 2.7125 data: 0.0059 max mem: 31630 Epoch: [33] [2600/5278] eta: 2:10:00 lr: 9.75373009167056e-06 loss: 0.0366 (0.0401) loss_seg: 0.0363 (0.0398) loss_lansim: 0.0231 (0.0253) loss_contra: 0.0003 (0.0022) time: 2.7117 data: 0.0059 max mem: 31630 Epoch: [33] [2610/5278] eta: 2:09:29 lr: 9.751174119944581e-06 loss: 0.0370 (0.0401) loss_seg: 0.0363 (0.0398) loss_lansim: 0.0230 (0.0253) loss_contra: 0.0003 (0.0022) time: 2.7112 data: 0.0059 max mem: 31630 Epoch: [33] [2620/5278] eta: 2:08:58 lr: 9.748618073775351e-06 loss: 0.0365 (0.0401) loss_seg: 0.0363 (0.0398) loss_lansim: 0.0230 (0.0253) loss_contra: 0.0002 (0.0022) time: 2.7103 data: 0.0059 max mem: 31630 Epoch: [33] [2630/5278] eta: 2:08:27 lr: 9.746061953139013e-06 loss: 0.0365 (0.0401) loss_seg: 0.0363 (0.0398) loss_lansim: 0.0230 (0.0253) loss_contra: 0.0002 (0.0022) time: 2.7089 data: 0.0059 max mem: 31630 Epoch: [33] [2640/5278] eta: 2:07:56 lr: 9.743505758011703e-06 loss: 0.0374 (0.0401) loss_seg: 0.0371 (0.0398) loss_lansim: 0.0230 (0.0253) loss_contra: 0.0002 (0.0022) time: 2.7078 data: 0.0059 max mem: 31630 Epoch: [33] [2650/5278] eta: 2:07:25 lr: 9.740949488369525e-06 loss: 0.0366 (0.0401) loss_seg: 0.0363 (0.0398) loss_lansim: 0.0230 (0.0253) loss_contra: 0.0002 (0.0022) time: 2.7075 data: 0.0058 max mem: 31630 Epoch: [33] [2660/5278] eta: 2:06:53 lr: 9.73839314418858e-06 loss: 0.0365 (0.0401) loss_seg: 0.0363 (0.0398) loss_lansim: 0.0231 (0.0253) loss_contra: 0.0002 (0.0022) time: 2.7067 data: 0.0057 max mem: 31630 Epoch: [33] [2670/5278] eta: 2:06:22 lr: 9.735836725444953e-06 loss: 0.0365 (0.0400) loss_seg: 0.0363 (0.0398) loss_lansim: 0.0233 (0.0253) loss_contra: 0.0002 (0.0022) time: 2.7067 data: 0.0057 max mem: 31630 Epoch: [33] [2680/5278] eta: 2:05:52 lr: 9.733280232114723e-06 loss: 0.0365 (0.0400) loss_seg: 0.0363 (0.0398) loss_lansim: 0.0232 (0.0253) loss_contra: 0.0002 (0.0022) time: 2.7083 data: 0.0057 max mem: 31630 Epoch: [33] [2690/5278] eta: 2:05:21 lr: 9.730723664173932e-06 loss: 0.0360 (0.0400) loss_seg: 0.0358 (0.0397) loss_lansim: 0.0231 (0.0253) loss_contra: 0.0002 (0.0022) time: 2.7087 data: 0.0057 max mem: 31630 Epoch: [33] [2700/5278] eta: 2:04:50 lr: 9.728167021598628e-06 loss: 0.0360 (0.0400) loss_seg: 0.0358 (0.0397) loss_lansim: 0.0232 (0.0253) loss_contra: 0.0002 (0.0022) time: 2.7096 data: 0.0056 max mem: 31630 Epoch: [33] [2710/5278] eta: 2:04:19 lr: 9.725610304364833e-06 loss: 0.0360 (0.0400) loss_seg: 0.0358 (0.0397) loss_lansim: 0.0232 (0.0253) loss_contra: 0.0002 (0.0022) time: 2.7108 data: 0.0056 max mem: 31630 Epoch: [33] [2720/5278] eta: 2:03:48 lr: 9.723053512448567e-06 loss: 0.0361 (0.0400) loss_seg: 0.0359 (0.0397) loss_lansim: 0.0233 (0.0253) loss_contra: 0.0002 (0.0022) time: 2.7116 data: 0.0056 max mem: 31630 Epoch: [33] [2730/5278] eta: 2:03:17 lr: 9.720496645825816e-06 loss: 0.0366 (0.0400) loss_seg: 0.0363 (0.0397) loss_lansim: 0.0233 (0.0253) loss_contra: 0.0002 (0.0022) time: 2.7129 data: 0.0056 max mem: 31630 Epoch: [33] [2740/5278] eta: 2:02:47 lr: 9.717939704472563e-06 loss: 0.0360 (0.0400) loss_seg: 0.0358 (0.0397) loss_lansim: 0.0235 (0.0253) loss_contra: 0.0002 (0.0022) time: 2.7146 data: 0.0057 max mem: 31630 Epoch: [33] [2750/5278] eta: 2:02:16 lr: 9.71538268836478e-06 loss: 0.0367 (0.0400) loss_seg: 0.0365 (0.0397) loss_lansim: 0.0236 (0.0253) loss_contra: 0.0003 (0.0022) time: 2.7157 data: 0.0057 max mem: 31630 Epoch: [33] [2760/5278] eta: 2:01:45 lr: 9.712825597478423e-06 loss: 0.0370 (0.0400) loss_seg: 0.0368 (0.0397) loss_lansim: 0.0235 (0.0253) loss_contra: 0.0003 (0.0022) time: 2.7164 data: 0.0057 max mem: 31630 Epoch: [33] [2770/5278] eta: 2:01:14 lr: 9.710268431789417e-06 loss: 0.0372 (0.0400) loss_seg: 0.0369 (0.0397) loss_lansim: 0.0235 (0.0253) loss_contra: 0.0003 (0.0022) time: 2.7168 data: 0.0056 max mem: 31630 Epoch: [33] [2780/5278] eta: 2:00:44 lr: 9.707711191273692e-06 loss: 0.0371 (0.0400) loss_seg: 0.0368 (0.0397) loss_lansim: 0.0233 (0.0252) loss_contra: 0.0003 (0.0022) time: 2.7172 data: 0.0056 max mem: 31630 Epoch: [33] [2790/5278] eta: 2:00:13 lr: 9.705153875907155e-06 loss: 0.0380 (0.0400) loss_seg: 0.0377 (0.0397) loss_lansim: 0.0235 (0.0253) loss_contra: 0.0003 (0.0022) time: 2.7184 data: 0.0056 max mem: 31630 Epoch: [33] [2800/5278] eta: 1:59:43 lr: 9.7025964856657e-06 loss: 0.0382 (0.0400) loss_seg: 0.0379 (0.0397) loss_lansim: 0.0235 (0.0253) loss_contra: 0.0003 (0.0022) time: 2.7187 data: 0.0056 max mem: 31630 Epoch: [33] [2810/5278] eta: 1:59:12 lr: 9.70003902052521e-06 loss: 0.0380 (0.0400) loss_seg: 0.0377 (0.0397) loss_lansim: 0.0236 (0.0253) loss_contra: 0.0003 (0.0022) time: 2.7197 data: 0.0056 max mem: 31630 Epoch: [33] [2820/5278] eta: 1:58:42 lr: 9.697481480461538e-06 loss: 0.0385 (0.0400) loss_seg: 0.0381 (0.0397) loss_lansim: 0.0235 (0.0252) loss_contra: 0.0002 (0.0022) time: 2.7236 data: 0.0056 max mem: 31630 Epoch: [33] [2830/5278] eta: 1:58:12 lr: 9.694923865450537e-06 loss: 0.0386 (0.0400) loss_seg: 0.0384 (0.0398) loss_lansim: 0.0236 (0.0252) loss_contra: 0.0002 (0.0022) time: 2.7268 data: 0.0056 max mem: 31630 Epoch: [33] [2840/5278] eta: 1:57:42 lr: 9.692366175468043e-06 loss: 0.0387 (0.0400) loss_seg: 0.0385 (0.0398) loss_lansim: 0.0235 (0.0252) loss_contra: 0.0002 (0.0022) time: 2.7302 data: 0.0055 max mem: 31630 Epoch: [33] [2850/5278] eta: 1:57:11 lr: 9.689808410489876e-06 loss: 0.0385 (0.0400) loss_seg: 0.0381 (0.0397) loss_lansim: 0.0237 (0.0252) loss_contra: 0.0002 (0.0021) time: 2.7336 data: 0.0056 max mem: 31630 Epoch: [33] [2860/5278] eta: 1:56:41 lr: 9.687250570491834e-06 loss: 0.0386 (0.0400) loss_seg: 0.0384 (0.0397) loss_lansim: 0.0237 (0.0252) loss_contra: 0.0002 (0.0021) time: 2.7370 data: 0.0056 max mem: 31630 Epoch: [33] [2870/5278] eta: 1:56:11 lr: 9.684692655449711e-06 loss: 0.0387 (0.0400) loss_seg: 0.0385 (0.0397) loss_lansim: 0.0237 (0.0252) loss_contra: 0.0002 (0.0021) time: 2.7401 data: 0.0056 max mem: 31630 Epoch: [33] [2880/5278] eta: 1:55:41 lr: 9.682134665339276e-06 loss: 0.0387 (0.0400) loss_seg: 0.0385 (0.0397) loss_lansim: 0.0237 (0.0252) loss_contra: 0.0002 (0.0021) time: 2.7433 data: 0.0056 max mem: 31630 Epoch: [33] [2890/5278] eta: 1:55:11 lr: 9.6795766001363e-06 loss: 0.0381 (0.0400) loss_seg: 0.0379 (0.0397) loss_lansim: 0.0236 (0.0252) loss_contra: 0.0002 (0.0021) time: 2.7460 data: 0.0057 max mem: 31630 Epoch: [33] [2900/5278] eta: 1:54:40 lr: 9.677018459816511e-06 loss: 0.0377 (0.0400) loss_seg: 0.0375 (0.0397) loss_lansim: 0.0235 (0.0252) loss_contra: 0.0002 (0.0021) time: 2.7447 data: 0.0057 max mem: 31630 Epoch: [33] [2910/5278] eta: 1:54:10 lr: 9.674460244355647e-06 loss: 0.0378 (0.0400) loss_seg: 0.0376 (0.0397) loss_lansim: 0.0234 (0.0252) loss_contra: 0.0001 (0.0021) time: 2.7436 data: 0.0057 max mem: 31630 Epoch: [33] [2920/5278] eta: 1:53:39 lr: 9.671901953729421e-06 loss: 0.0367 (0.0400) loss_seg: 0.0365 (0.0397) loss_lansim: 0.0233 (0.0252) loss_contra: 0.0001 (0.0021) time: 2.7395 data: 0.0057 max mem: 31630 Epoch: [33] [2930/5278] eta: 1:53:09 lr: 9.66934358791354e-06 loss: 0.0357 (0.0400) loss_seg: 0.0356 (0.0397) loss_lansim: 0.0229 (0.0252) loss_contra: 0.0001 (0.0021) time: 2.7358 data: 0.0057 max mem: 31630 Epoch: [33] [2940/5278] eta: 1:52:39 lr: 9.666785146883673e-06 loss: 0.0363 (0.0400) loss_seg: 0.0360 (0.0397) loss_lansim: 0.0233 (0.0252) loss_contra: 0.0001 (0.0021) time: 2.7317 data: 0.0057 max mem: 31630 Epoch: [33] [2950/5278] eta: 1:52:08 lr: 9.664226630615498e-06 loss: 0.0356 (0.0399) loss_seg: 0.0353 (0.0397) loss_lansim: 0.0228 (0.0252) loss_contra: 0.0001 (0.0021) time: 2.7277 data: 0.0056 max mem: 31630 Epoch: [33] [2960/5278] eta: 1:51:38 lr: 9.661668039084669e-06 loss: 0.0348 (0.0399) loss_seg: 0.0346 (0.0396) loss_lansim: 0.0228 (0.0252) loss_contra: 0.0001 (0.0021) time: 2.7238 data: 0.0056 max mem: 31630 Epoch: [33] [2970/5278] eta: 1:51:08 lr: 9.659109372266832e-06 loss: 0.0345 (0.0399) loss_seg: 0.0342 (0.0396) loss_lansim: 0.0228 (0.0252) loss_contra: 0.0001 (0.0021) time: 2.7209 data: 0.0056 max mem: 31630 Epoch: [33] [2980/5278] eta: 1:50:38 lr: 9.656550630137594e-06 loss: 0.0343 (0.0399) loss_seg: 0.0341 (0.0396) loss_lansim: 0.0228 (0.0252) loss_contra: 0.0001 (0.0021) time: 2.7168 data: 0.0056 max mem: 31630 Epoch: [33] [2990/5278] eta: 1:50:07 lr: 9.653991812672578e-06 loss: 0.0343 (0.0399) loss_seg: 0.0341 (0.0396) loss_lansim: 0.0230 (0.0252) loss_contra: 0.0002 (0.0021) time: 2.7132 data: 0.0055 max mem: 31630 Epoch: [33] [3000/5278] eta: 1:49:37 lr: 9.651432919847372e-06 loss: 0.0341 (0.0398) loss_seg: 0.0339 (0.0396) loss_lansim: 0.0230 (0.0252) loss_contra: 0.0002 (0.0021) time: 2.7132 data: 0.0055 max mem: 31630 Epoch: [33] [3010/5278] eta: 1:49:07 lr: 9.648873951637564e-06 loss: 0.0343 (0.0398) loss_seg: 0.0341 (0.0396) loss_lansim: 0.0230 (0.0252) loss_contra: 0.0002 (0.0021) time: 2.7114 data: 0.0054 max mem: 31630 Epoch: [33] [3020/5278] eta: 1:48:37 lr: 9.646314908018702e-06 loss: 0.0344 (0.0398) loss_seg: 0.0342 (0.0395) loss_lansim: 0.0232 (0.0252) loss_contra: 0.0002 (0.0021) time: 2.7117 data: 0.0054 max mem: 31630 Epoch: [33] [3030/5278] eta: 1:48:07 lr: 9.643755788966346e-06 loss: 0.0345 (0.0398) loss_seg: 0.0342 (0.0395) loss_lansim: 0.0237 (0.0252) loss_contra: 0.0002 (0.0021) time: 2.7117 data: 0.0054 max mem: 31630 Epoch: [33] [3040/5278] eta: 1:47:36 lr: 9.641196594456028e-06 loss: 0.0345 (0.0398) loss_seg: 0.0342 (0.0396) loss_lansim: 0.0231 (0.0252) loss_contra: 0.0002 (0.0021) time: 2.7127 data: 0.0054 max mem: 31630 Epoch: [33] [3050/5278] eta: 1:47:06 lr: 9.638637324463262e-06 loss: 0.0347 (0.0398) loss_seg: 0.0345 (0.0395) loss_lansim: 0.0238 (0.0252) loss_contra: 0.0002 (0.0021) time: 2.7137 data: 0.0054 max mem: 31630 Epoch: [33] [3060/5278] eta: 1:46:36 lr: 9.636077978963561e-06 loss: 0.0349 (0.0398) loss_seg: 0.0347 (0.0395) loss_lansim: 0.0238 (0.0251) loss_contra: 0.0002 (0.0021) time: 2.7151 data: 0.0054 max mem: 31630 Epoch: [33] [3070/5278] eta: 1:46:06 lr: 9.633518557932402e-06 loss: 0.0351 (0.0398) loss_seg: 0.0349 (0.0395) loss_lansim: 0.0239 (0.0251) loss_contra: 0.0002 (0.0021) time: 2.7154 data: 0.0054 max mem: 31630 Epoch: [33] [3080/5278] eta: 1:45:37 lr: 9.630959061345261e-06 loss: 0.0367 (0.0398) loss_seg: 0.0365 (0.0395) loss_lansim: 0.0240 (0.0251) loss_contra: 0.0002 (0.0021) time: 2.7189 data: 0.0054 max mem: 31630 Epoch: [33] [3090/5278] eta: 1:45:07 lr: 9.628399489177598e-06 loss: 0.0375 (0.0398) loss_seg: 0.0373 (0.0395) loss_lansim: 0.0240 (0.0251) loss_contra: 0.0002 (0.0021) time: 2.7224 data: 0.0054 max mem: 31630 Epoch: [33] [3100/5278] eta: 1:44:37 lr: 9.62583984140486e-06 loss: 0.0376 (0.0398) loss_seg: 0.0374 (0.0395) loss_lansim: 0.0242 (0.0251) loss_contra: 0.0002 (0.0021) time: 2.7265 data: 0.0054 max mem: 31630 Epoch: [33] [3110/5278] eta: 1:44:07 lr: 9.623280118002462e-06 loss: 0.0376 (0.0398) loss_seg: 0.0374 (0.0395) loss_lansim: 0.0244 (0.0252) loss_contra: 0.0002 (0.0021) time: 2.7312 data: 0.0054 max mem: 31630 Epoch: [33] [3120/5278] eta: 1:43:38 lr: 9.620720318945822e-06 loss: 0.0376 (0.0398) loss_seg: 0.0374 (0.0395) loss_lansim: 0.0243 (0.0251) loss_contra: 0.0001 (0.0020) time: 2.7348 data: 0.0055 max mem: 31630 Epoch: [33] [3130/5278] eta: 1:43:08 lr: 9.618160444210338e-06 loss: 0.0376 (0.0398) loss_seg: 0.0374 (0.0395) loss_lansim: 0.0244 (0.0251) loss_contra: 0.0001 (0.0020) time: 2.7384 data: 0.0055 max mem: 31630 Epoch: [33] [3140/5278] eta: 1:42:38 lr: 9.615600493771394e-06 loss: 0.0375 (0.0398) loss_seg: 0.0373 (0.0396) loss_lansim: 0.0246 (0.0252) loss_contra: 0.0001 (0.0020) time: 2.7413 data: 0.0055 max mem: 31630 Epoch: [33] [3150/5278] eta: 1:42:09 lr: 9.61304046760435e-06 loss: 0.0370 (0.0398) loss_seg: 0.0368 (0.0395) loss_lansim: 0.0245 (0.0252) loss_contra: 0.0001 (0.0020) time: 2.7442 data: 0.0055 max mem: 31630 Epoch: [33] [3160/5278] eta: 1:41:39 lr: 9.610480365684556e-06 loss: 0.0380 (0.0398) loss_seg: 0.0378 (0.0396) loss_lansim: 0.0243 (0.0251) loss_contra: 0.0001 (0.0020) time: 2.7458 data: 0.0055 max mem: 31630 Epoch: [33] [3170/5278] eta: 1:41:09 lr: 9.607920187987351e-06 loss: 0.0388 (0.0398) loss_seg: 0.0385 (0.0396) loss_lansim: 0.0243 (0.0251) loss_contra: 0.0001 (0.0020) time: 2.7464 data: 0.0055 max mem: 31630 Epoch: [33] [3180/5278] eta: 1:40:39 lr: 9.60535993448806e-06 loss: 0.0387 (0.0399) loss_seg: 0.0384 (0.0396) loss_lansim: 0.0242 (0.0251) loss_contra: 0.0001 (0.0020) time: 2.7447 data: 0.0055 max mem: 31630 Epoch: [33] [3190/5278] eta: 1:40:09 lr: 9.602799605161979e-06 loss: 0.0387 (0.0399) loss_seg: 0.0384 (0.0396) loss_lansim: 0.0243 (0.0251) loss_contra: 0.0001 (0.0020) time: 2.7431 data: 0.0055 max mem: 31630 Epoch: [33] [3200/5278] eta: 1:39:40 lr: 9.600239199984398e-06 loss: 0.0387 (0.0399) loss_seg: 0.0384 (0.0396) loss_lansim: 0.0245 (0.0252) loss_contra: 0.0001 (0.0020) time: 2.7407 data: 0.0055 max mem: 31630 Epoch: [33] [3210/5278] eta: 1:39:10 lr: 9.597678718930594e-06 loss: 0.0393 (0.0399) loss_seg: 0.0391 (0.0397) loss_lansim: 0.0245 (0.0252) loss_contra: 0.0001 (0.0020) time: 2.7383 data: 0.0054 max mem: 31630 Epoch: [33] [3220/5278] eta: 1:38:40 lr: 9.595118161975834e-06 loss: 0.0389 (0.0399) loss_seg: 0.0386 (0.0396) loss_lansim: 0.0245 (0.0252) loss_contra: 0.0001 (0.0020) time: 2.7346 data: 0.0055 max mem: 31630 Epoch: [33] [3230/5278] eta: 1:38:10 lr: 9.592557529095344e-06 loss: 0.0396 (0.0399) loss_seg: 0.0394 (0.0396) loss_lansim: 0.0243 (0.0252) loss_contra: 0.0001 (0.0020) time: 2.7306 data: 0.0055 max mem: 31630 Epoch: [33] [3240/5278] eta: 1:37:40 lr: 9.58999682026436e-06 loss: 0.0397 (0.0399) loss_seg: 0.0395 (0.0396) loss_lansim: 0.0243 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7274 data: 0.0055 max mem: 31630 Epoch: [33] [3250/5278] eta: 1:37:11 lr: 9.587436035458096e-06 loss: 0.0406 (0.0399) loss_seg: 0.0403 (0.0397) loss_lansim: 0.0242 (0.0252) loss_contra: 0.0001 (0.0020) time: 2.7230 data: 0.0055 max mem: 31630 Epoch: [33] [3260/5278] eta: 1:36:41 lr: 9.584875174651753e-06 loss: 0.0406 (0.0399) loss_seg: 0.0403 (0.0397) loss_lansim: 0.0250 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7209 data: 0.0055 max mem: 31630 Epoch: [33] [3270/5278] eta: 1:36:11 lr: 9.582314237820502e-06 loss: 0.0383 (0.0399) loss_seg: 0.0380 (0.0396) loss_lansim: 0.0256 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7191 data: 0.0055 max mem: 31630 Epoch: [33] [3280/5278] eta: 1:35:41 lr: 9.579753224939512e-06 loss: 0.0379 (0.0399) loss_seg: 0.0377 (0.0396) loss_lansim: 0.0250 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7178 data: 0.0054 max mem: 31630 Epoch: [33] [3290/5278] eta: 1:35:12 lr: 9.577192135983937e-06 loss: 0.0383 (0.0399) loss_seg: 0.0380 (0.0397) loss_lansim: 0.0246 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7159 data: 0.0054 max mem: 31630 Epoch: [33] [3300/5278] eta: 1:34:42 lr: 9.574630970928909e-06 loss: 0.0383 (0.0399) loss_seg: 0.0380 (0.0396) loss_lansim: 0.0245 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7149 data: 0.0054 max mem: 31630 Epoch: [33] [3310/5278] eta: 1:34:12 lr: 9.572069729749555e-06 loss: 0.0366 (0.0399) loss_seg: 0.0363 (0.0396) loss_lansim: 0.0246 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7127 data: 0.0054 max mem: 31630 Epoch: [33] [3320/5278] eta: 1:33:43 lr: 9.569508412420968e-06 loss: 0.0370 (0.0399) loss_seg: 0.0367 (0.0396) loss_lansim: 0.0249 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7116 data: 0.0054 max mem: 31630 Epoch: [33] [3330/5278] eta: 1:33:13 lr: 9.56694701891824e-06 loss: 0.0374 (0.0399) loss_seg: 0.0371 (0.0397) loss_lansim: 0.0249 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7104 data: 0.0053 max mem: 31630 Epoch: [33] [3340/5278] eta: 1:32:43 lr: 9.564385549216446e-06 loss: 0.0374 (0.0399) loss_seg: 0.0372 (0.0397) loss_lansim: 0.0246 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7092 data: 0.0054 max mem: 31630 Epoch: [33] [3350/5278] eta: 1:32:14 lr: 9.561824003290646e-06 loss: 0.0375 (0.0400) loss_seg: 0.0373 (0.0397) loss_lansim: 0.0245 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7119 data: 0.0054 max mem: 31630 Epoch: [33] [3360/5278] eta: 1:31:44 lr: 9.559262381115874e-06 loss: 0.0375 (0.0400) loss_seg: 0.0373 (0.0397) loss_lansim: 0.0247 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7143 data: 0.0054 max mem: 31630 Epoch: [33] [3370/5278] eta: 1:31:15 lr: 9.556700682667157e-06 loss: 0.0390 (0.0400) loss_seg: 0.0388 (0.0397) loss_lansim: 0.0245 (0.0252) loss_contra: 0.0001 (0.0020) time: 2.7176 data: 0.0053 max mem: 31630 Epoch: [33] [3380/5278] eta: 1:30:45 lr: 9.554138907919511e-06 loss: 0.0397 (0.0400) loss_seg: 0.0394 (0.0397) loss_lansim: 0.0249 (0.0252) loss_contra: 0.0001 (0.0020) time: 2.7200 data: 0.0053 max mem: 31630 Epoch: [33] [3390/5278] eta: 1:30:16 lr: 9.551577056847932e-06 loss: 0.0390 (0.0400) loss_seg: 0.0388 (0.0397) loss_lansim: 0.0250 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7227 data: 0.0053 max mem: 31630 Epoch: [33] [3400/5278] eta: 1:29:47 lr: 9.54901512942739e-06 loss: 0.0392 (0.0400) loss_seg: 0.0390 (0.0397) loss_lansim: 0.0249 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7248 data: 0.0053 max mem: 31630 Epoch: [33] [3410/5278] eta: 1:29:17 lr: 9.546453125632854e-06 loss: 0.0395 (0.0400) loss_seg: 0.0392 (0.0397) loss_lansim: 0.0247 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7292 data: 0.0053 max mem: 31630 Epoch: [33] [3420/5278] eta: 1:28:48 lr: 9.543891045439271e-06 loss: 0.0399 (0.0400) loss_seg: 0.0397 (0.0397) loss_lansim: 0.0245 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7336 data: 0.0053 max mem: 31630 Epoch: [33] [3430/5278] eta: 1:28:18 lr: 9.541328888821578e-06 loss: 0.0396 (0.0400) loss_seg: 0.0393 (0.0397) loss_lansim: 0.0243 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7359 data: 0.0053 max mem: 31630 Epoch: [33] [3440/5278] eta: 1:27:49 lr: 9.53876665575468e-06 loss: 0.0390 (0.0400) loss_seg: 0.0388 (0.0397) loss_lansim: 0.0251 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7374 data: 0.0053 max mem: 31630 Epoch: [33] [3450/5278] eta: 1:27:20 lr: 9.536204346213487e-06 loss: 0.0373 (0.0400) loss_seg: 0.0371 (0.0397) loss_lansim: 0.0252 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7362 data: 0.0053 max mem: 31630 Epoch: [33] [3460/5278] eta: 1:26:50 lr: 9.53364196017288e-06 loss: 0.0369 (0.0400) loss_seg: 0.0367 (0.0397) loss_lansim: 0.0251 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7342 data: 0.0053 max mem: 31630 Epoch: [33] [3470/5278] eta: 1:26:21 lr: 9.531079497607735e-06 loss: 0.0373 (0.0400) loss_seg: 0.0370 (0.0397) loss_lansim: 0.0252 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7321 data: 0.0053 max mem: 31630 Epoch: [33] [3480/5278] eta: 1:25:51 lr: 9.528516958492894e-06 loss: 0.0360 (0.0400) loss_seg: 0.0357 (0.0397) loss_lansim: 0.0251 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7309 data: 0.0053 max mem: 31630 Epoch: [33] [3490/5278] eta: 1:25:22 lr: 9.525954342803201e-06 loss: 0.0376 (0.0400) loss_seg: 0.0374 (0.0397) loss_lansim: 0.0252 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7294 data: 0.0053 max mem: 31630 Epoch: [33] [3500/5278] eta: 1:24:53 lr: 9.523391650513477e-06 loss: 0.0370 (0.0400) loss_seg: 0.0368 (0.0397) loss_lansim: 0.0252 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7280 data: 0.0053 max mem: 31630 Epoch: [33] [3510/5278] eta: 1:24:23 lr: 9.520828881598534e-06 loss: 0.0370 (0.0400) loss_seg: 0.0368 (0.0397) loss_lansim: 0.0257 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7247 data: 0.0053 max mem: 31630 Epoch: [33] [3520/5278] eta: 1:23:54 lr: 9.518266036033151e-06 loss: 0.0364 (0.0400) loss_seg: 0.0361 (0.0397) loss_lansim: 0.0256 (0.0252) loss_contra: 0.0001 (0.0020) time: 2.7219 data: 0.0053 max mem: 31630 Epoch: [33] [3530/5278] eta: 1:23:25 lr: 9.515703113792106e-06 loss: 0.0370 (0.0400) loss_seg: 0.0368 (0.0397) loss_lansim: 0.0254 (0.0252) loss_contra: 0.0001 (0.0020) time: 2.7216 data: 0.0053 max mem: 31630 Epoch: [33] [3540/5278] eta: 1:22:55 lr: 9.513140114850161e-06 loss: 0.0364 (0.0400) loss_seg: 0.0361 (0.0397) loss_lansim: 0.0252 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7206 data: 0.0054 max mem: 31630 Epoch: [33] [3550/5278] eta: 1:22:26 lr: 9.510577039182056e-06 loss: 0.0370 (0.0400) loss_seg: 0.0368 (0.0397) loss_lansim: 0.0251 (0.0252) loss_contra: 0.0001 (0.0020) time: 2.7191 data: 0.0053 max mem: 31630 Epoch: [33] [3560/5278] eta: 1:21:56 lr: 9.508013886762525e-06 loss: 0.0385 (0.0400) loss_seg: 0.0382 (0.0397) loss_lansim: 0.0249 (0.0252) loss_contra: 0.0001 (0.0020) time: 2.7186 data: 0.0053 max mem: 31630 Epoch: [33] [3570/5278] eta: 1:21:27 lr: 9.505450657566265e-06 loss: 0.0366 (0.0400) loss_seg: 0.0363 (0.0397) loss_lansim: 0.0245 (0.0252) loss_contra: 0.0001 (0.0020) time: 2.7177 data: 0.0053 max mem: 31630 Epoch: [33] [3580/5278] eta: 1:20:58 lr: 9.50288735156798e-06 loss: 0.0366 (0.0400) loss_seg: 0.0363 (0.0397) loss_lansim: 0.0243 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7164 data: 0.0053 max mem: 31630 Epoch: [33] [3590/5278] eta: 1:20:28 lr: 9.500323968742348e-06 loss: 0.0363 (0.0399) loss_seg: 0.0360 (0.0397) loss_lansim: 0.0243 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7152 data: 0.0054 max mem: 31630 Epoch: [33] [3600/5278] eta: 1:19:59 lr: 9.497760509064036e-06 loss: 0.0363 (0.0400) loss_seg: 0.0360 (0.0397) loss_lansim: 0.0245 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7137 data: 0.0054 max mem: 31630 Epoch: [33] [3610/5278] eta: 1:19:30 lr: 9.495196972507684e-06 loss: 0.0363 (0.0399) loss_seg: 0.0360 (0.0397) loss_lansim: 0.0243 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7156 data: 0.0055 max mem: 31630 Epoch: [33] [3620/5278] eta: 1:19:01 lr: 9.492633359047922e-06 loss: 0.0363 (0.0399) loss_seg: 0.0360 (0.0397) loss_lansim: 0.0243 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7172 data: 0.0055 max mem: 31630 Epoch: [33] [3630/5278] eta: 1:18:32 lr: 9.49006966865937e-06 loss: 0.0360 (0.0399) loss_seg: 0.0357 (0.0396) loss_lansim: 0.0241 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7190 data: 0.0056 max mem: 31630 Epoch: [33] [3640/5278] eta: 1:18:03 lr: 9.487505901316631e-06 loss: 0.0366 (0.0399) loss_seg: 0.0363 (0.0396) loss_lansim: 0.0241 (0.0252) loss_contra: 0.0001 (0.0020) time: 2.7222 data: 0.0056 max mem: 31630 Epoch: [33] [3650/5278] eta: 1:17:33 lr: 9.484942056994278e-06 loss: 0.0358 (0.0399) loss_seg: 0.0356 (0.0396) loss_lansim: 0.0238 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7255 data: 0.0056 max mem: 31630 Epoch: [33] [3660/5278] eta: 1:17:04 lr: 9.482378135666884e-06 loss: 0.0349 (0.0399) loss_seg: 0.0348 (0.0396) loss_lansim: 0.0236 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7267 data: 0.0056 max mem: 31630 Epoch: [33] [3670/5278] eta: 1:16:35 lr: 9.479814137308998e-06 loss: 0.0356 (0.0399) loss_seg: 0.0354 (0.0396) loss_lansim: 0.0236 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7298 data: 0.0057 max mem: 31630 Epoch: [33] [3680/5278] eta: 1:16:06 lr: 9.477250061895164e-06 loss: 0.0352 (0.0399) loss_seg: 0.0349 (0.0396) loss_lansim: 0.0237 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7331 data: 0.0058 max mem: 31630 Epoch: [33] [3690/5278] eta: 1:15:37 lr: 9.474685909399887e-06 loss: 0.0352 (0.0399) loss_seg: 0.0349 (0.0396) loss_lansim: 0.0237 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7347 data: 0.0058 max mem: 31630 Epoch: [33] [3700/5278] eta: 1:15:08 lr: 9.472121679797674e-06 loss: 0.0353 (0.0399) loss_seg: 0.0350 (0.0396) loss_lansim: 0.0237 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7363 data: 0.0058 max mem: 31630 Epoch: [33] [3710/5278] eta: 1:14:39 lr: 9.469557373063014e-06 loss: 0.0353 (0.0399) loss_seg: 0.0350 (0.0396) loss_lansim: 0.0237 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7354 data: 0.0057 max mem: 31630 Epoch: [33] [3720/5278] eta: 1:14:10 lr: 9.466992989170386e-06 loss: 0.0352 (0.0399) loss_seg: 0.0349 (0.0396) loss_lansim: 0.0236 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7342 data: 0.0056 max mem: 31630 Epoch: [33] [3730/5278] eta: 1:13:40 lr: 9.464428528094226e-06 loss: 0.0353 (0.0399) loss_seg: 0.0349 (0.0396) loss_lansim: 0.0236 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7331 data: 0.0056 max mem: 31630 Epoch: [33] [3740/5278] eta: 1:13:11 lr: 9.461863989808986e-06 loss: 0.0353 (0.0399) loss_seg: 0.0349 (0.0396) loss_lansim: 0.0237 (0.0252) loss_contra: 0.0003 (0.0020) time: 2.7312 data: 0.0056 max mem: 31630 Epoch: [33] [3750/5278] eta: 1:12:42 lr: 9.459299374289082e-06 loss: 0.0369 (0.0399) loss_seg: 0.0367 (0.0396) loss_lansim: 0.0237 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7296 data: 0.0056 max mem: 31630 Epoch: [33] [3760/5278] eta: 1:12:13 lr: 9.456734681508928e-06 loss: 0.0376 (0.0399) loss_seg: 0.0374 (0.0396) loss_lansim: 0.0241 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7292 data: 0.0056 max mem: 31630 Epoch: [33] [3770/5278] eta: 1:11:44 lr: 9.454169911442903e-06 loss: 0.0376 (0.0399) loss_seg: 0.0374 (0.0396) loss_lansim: 0.0239 (0.0252) loss_contra: 0.0002 (0.0021) time: 2.7275 data: 0.0056 max mem: 31630 Epoch: [33] [3780/5278] eta: 1:11:15 lr: 9.451605064065386e-06 loss: 0.0379 (0.0399) loss_seg: 0.0376 (0.0396) loss_lansim: 0.0243 (0.0252) loss_contra: 0.0002 (0.0021) time: 2.7254 data: 0.0057 max mem: 31630 Epoch: [33] [3790/5278] eta: 1:10:46 lr: 9.449040139350733e-06 loss: 0.0383 (0.0399) loss_seg: 0.0381 (0.0397) loss_lansim: 0.0244 (0.0252) loss_contra: 0.0001 (0.0021) time: 2.7253 data: 0.0057 max mem: 31630 Epoch: [33] [3800/5278] eta: 1:10:17 lr: 9.446475137273287e-06 loss: 0.0388 (0.0399) loss_seg: 0.0386 (0.0397) loss_lansim: 0.0244 (0.0252) loss_contra: 0.0001 (0.0021) time: 2.7258 data: 0.0057 max mem: 31630 Epoch: [33] [3810/5278] eta: 1:09:48 lr: 9.443910057807376e-06 loss: 0.0392 (0.0399) loss_seg: 0.0388 (0.0397) loss_lansim: 0.0244 (0.0252) loss_contra: 0.0001 (0.0021) time: 2.7259 data: 0.0057 max mem: 31630 Epoch: [33] [3820/5278] eta: 1:09:19 lr: 9.441344900927298e-06 loss: 0.0392 (0.0399) loss_seg: 0.0390 (0.0397) loss_lansim: 0.0245 (0.0252) loss_contra: 0.0001 (0.0021) time: 2.7261 data: 0.0057 max mem: 31630 Epoch: [33] [3830/5278] eta: 1:08:50 lr: 9.438779666607353e-06 loss: 0.0392 (0.0399) loss_seg: 0.0388 (0.0397) loss_lansim: 0.0248 (0.0252) loss_contra: 0.0001 (0.0021) time: 2.7255 data: 0.0057 max mem: 31630 Epoch: [33] [3840/5278] eta: 1:08:21 lr: 9.436214354821815e-06 loss: 0.0392 (0.0399) loss_seg: 0.0390 (0.0397) loss_lansim: 0.0248 (0.0252) loss_contra: 0.0001 (0.0021) time: 2.7248 data: 0.0058 max mem: 31630 Epoch: [33] [3850/5278] eta: 1:07:52 lr: 9.43364896554495e-06 loss: 0.0390 (0.0399) loss_seg: 0.0388 (0.0397) loss_lansim: 0.0252 (0.0252) loss_contra: 0.0001 (0.0020) time: 2.7249 data: 0.0059 max mem: 31630 Epoch: [33] [3860/5278] eta: 1:07:23 lr: 9.43108349875099e-06 loss: 0.0391 (0.0399) loss_seg: 0.0388 (0.0397) loss_lansim: 0.0252 (0.0252) loss_contra: 0.0001 (0.0020) time: 2.7252 data: 0.0060 max mem: 31630 Epoch: [33] [3870/5278] eta: 1:06:54 lr: 9.42851795441417e-06 loss: 0.0380 (0.0399) loss_seg: 0.0378 (0.0397) loss_lansim: 0.0256 (0.0252) loss_contra: 0.0001 (0.0020) time: 2.7253 data: 0.0060 max mem: 31630 Epoch: [33] [3880/5278] eta: 1:06:25 lr: 9.425952332508695e-06 loss: 0.0376 (0.0399) loss_seg: 0.0374 (0.0396) loss_lansim: 0.0260 (0.0252) loss_contra: 0.0001 (0.0020) time: 2.7284 data: 0.0059 max mem: 31630 Epoch: [33] [3890/5278] eta: 1:05:56 lr: 9.423386633008769e-06 loss: 0.0369 (0.0399) loss_seg: 0.0367 (0.0396) loss_lansim: 0.0260 (0.0252) loss_contra: 0.0001 (0.0020) time: 2.7300 data: 0.0059 max mem: 31630 Epoch: [33] [3900/5278] eta: 1:05:27 lr: 9.420820855888557e-06 loss: 0.0369 (0.0399) loss_seg: 0.0367 (0.0396) loss_lansim: 0.0261 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7319 data: 0.0059 max mem: 31630 Epoch: [33] [3910/5278] eta: 1:04:58 lr: 9.418255001122225e-06 loss: 0.0369 (0.0399) loss_seg: 0.0367 (0.0396) loss_lansim: 0.0261 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7336 data: 0.0059 max mem: 31630 Epoch: [33] [3920/5278] eta: 1:04:30 lr: 9.415689068683922e-06 loss: 0.0369 (0.0399) loss_seg: 0.0366 (0.0397) loss_lansim: 0.0261 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7355 data: 0.0059 max mem: 31630 Epoch: [33] [3930/5278] eta: 1:04:01 lr: 9.413123058547779e-06 loss: 0.0375 (0.0399) loss_seg: 0.0373 (0.0397) loss_lansim: 0.0261 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7380 data: 0.0058 max mem: 31630 Epoch: [33] [3940/5278] eta: 1:03:32 lr: 9.410556970687898e-06 loss: 0.0368 (0.0399) loss_seg: 0.0366 (0.0396) loss_lansim: 0.0263 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7412 data: 0.0058 max mem: 31630 Epoch: [33] [3950/5278] eta: 1:03:03 lr: 9.407990805078378e-06 loss: 0.0363 (0.0399) loss_seg: 0.0360 (0.0396) loss_lansim: 0.0261 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7420 data: 0.0056 max mem: 31630 Epoch: [33] [3960/5278] eta: 1:02:34 lr: 9.405424561693301e-06 loss: 0.0361 (0.0399) loss_seg: 0.0358 (0.0396) loss_lansim: 0.0259 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7417 data: 0.0055 max mem: 31630 Epoch: [33] [3970/5278] eta: 1:02:05 lr: 9.402858240506736e-06 loss: 0.0361 (0.0399) loss_seg: 0.0358 (0.0396) loss_lansim: 0.0256 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7405 data: 0.0055 max mem: 31630 Epoch: [33] [3980/5278] eta: 1:01:36 lr: 9.400291841492714e-06 loss: 0.0365 (0.0399) loss_seg: 0.0363 (0.0396) loss_lansim: 0.0253 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7368 data: 0.0054 max mem: 31630 Epoch: [33] [3990/5278] eta: 1:01:07 lr: 9.397725364625273e-06 loss: 0.0368 (0.0399) loss_seg: 0.0366 (0.0396) loss_lansim: 0.0251 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7350 data: 0.0054 max mem: 31630 Epoch: [33] [4000/5278] eta: 1:00:39 lr: 9.395158809878426e-06 loss: 0.0368 (0.0399) loss_seg: 0.0366 (0.0396) loss_lansim: 0.0249 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7329 data: 0.0054 max mem: 31630 Epoch: [33] [4010/5278] eta: 1:00:10 lr: 9.392592177226173e-06 loss: 0.0365 (0.0399) loss_seg: 0.0363 (0.0396) loss_lansim: 0.0251 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7317 data: 0.0054 max mem: 31630 Epoch: [33] [4020/5278] eta: 0:59:41 lr: 9.390025466642484e-06 loss: 0.0352 (0.0399) loss_seg: 0.0350 (0.0396) loss_lansim: 0.0246 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7302 data: 0.0055 max mem: 31630 Epoch: [33] [4030/5278] eta: 0:59:12 lr: 9.387458678101328e-06 loss: 0.0351 (0.0399) loss_seg: 0.0349 (0.0396) loss_lansim: 0.0242 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7282 data: 0.0055 max mem: 31630 Epoch: [33] [4040/5278] eta: 0:58:43 lr: 9.384891811576652e-06 loss: 0.0355 (0.0399) loss_seg: 0.0352 (0.0396) loss_lansim: 0.0237 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7258 data: 0.0055 max mem: 31630 Epoch: [33] [4050/5278] eta: 0:58:14 lr: 9.382324867042385e-06 loss: 0.0362 (0.0399) loss_seg: 0.0360 (0.0396) loss_lansim: 0.0236 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7249 data: 0.0055 max mem: 31630 Epoch: [33] [4060/5278] eta: 0:57:46 lr: 9.379757844472448e-06 loss: 0.0355 (0.0399) loss_seg: 0.0353 (0.0396) loss_lansim: 0.0236 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7247 data: 0.0055 max mem: 31630 Epoch: [33] [4070/5278] eta: 0:57:17 lr: 9.377190743840724e-06 loss: 0.0357 (0.0399) loss_seg: 0.0355 (0.0396) loss_lansim: 0.0234 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7256 data: 0.0055 max mem: 31630 Epoch: [33] [4080/5278] eta: 0:56:48 lr: 9.3746235651211e-06 loss: 0.0357 (0.0399) loss_seg: 0.0355 (0.0396) loss_lansim: 0.0234 (0.0252) loss_contra: 0.0001 (0.0020) time: 2.7260 data: 0.0055 max mem: 31630 Epoch: [33] [4090/5278] eta: 0:56:19 lr: 9.37205630828744e-06 loss: 0.0350 (0.0399) loss_seg: 0.0348 (0.0396) loss_lansim: 0.0234 (0.0252) loss_contra: 0.0001 (0.0020) time: 2.7261 data: 0.0056 max mem: 31630 Epoch: [33] [4100/5278] eta: 0:55:50 lr: 9.369488973313596e-06 loss: 0.0356 (0.0399) loss_seg: 0.0353 (0.0396) loss_lansim: 0.0234 (0.0252) loss_contra: 0.0001 (0.0020) time: 2.7259 data: 0.0056 max mem: 31630 Epoch: [33] [4110/5278] eta: 0:55:22 lr: 9.366921560173385e-06 loss: 0.0355 (0.0399) loss_seg: 0.0352 (0.0396) loss_lansim: 0.0234 (0.0252) loss_contra: 0.0001 (0.0020) time: 2.7243 data: 0.0055 max mem: 31630 Epoch: [33] [4120/5278] eta: 0:54:53 lr: 9.364354068840626e-06 loss: 0.0357 (0.0399) loss_seg: 0.0355 (0.0396) loss_lansim: 0.0230 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7230 data: 0.0056 max mem: 31630 Epoch: [33] [4130/5278] eta: 0:54:24 lr: 9.361786499289118e-06 loss: 0.0359 (0.0399) loss_seg: 0.0355 (0.0396) loss_lansim: 0.0233 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7223 data: 0.0056 max mem: 31630 Epoch: [33] [4140/5278] eta: 0:53:55 lr: 9.359218851492646e-06 loss: 0.0360 (0.0399) loss_seg: 0.0357 (0.0396) loss_lansim: 0.0239 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7242 data: 0.0058 max mem: 31630 Epoch: [33] [4150/5278] eta: 0:53:27 lr: 9.356651125424958e-06 loss: 0.0360 (0.0399) loss_seg: 0.0357 (0.0396) loss_lansim: 0.0240 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7258 data: 0.0058 max mem: 31630 Epoch: [33] [4160/5278] eta: 0:52:58 lr: 9.35408332105981e-06 loss: 0.0361 (0.0399) loss_seg: 0.0359 (0.0396) loss_lansim: 0.0241 (0.0252) loss_contra: 0.0001 (0.0020) time: 2.7283 data: 0.0058 max mem: 31630 Epoch: [33] [4170/5278] eta: 0:52:29 lr: 9.351515438370929e-06 loss: 0.0359 (0.0399) loss_seg: 0.0355 (0.0396) loss_lansim: 0.0242 (0.0252) loss_contra: 0.0001 (0.0020) time: 2.7312 data: 0.0058 max mem: 31630 Epoch: [33] [4180/5278] eta: 0:52:01 lr: 9.348947477332034e-06 loss: 0.0359 (0.0399) loss_seg: 0.0355 (0.0396) loss_lansim: 0.0245 (0.0252) loss_contra: 0.0001 (0.0020) time: 2.7340 data: 0.0058 max mem: 31630 Epoch: [33] [4190/5278] eta: 0:51:32 lr: 9.34637943791681e-06 loss: 0.0361 (0.0399) loss_seg: 0.0359 (0.0396) loss_lansim: 0.0245 (0.0252) loss_contra: 0.0001 (0.0020) time: 2.7368 data: 0.0058 max mem: 31630 Epoch: [33] [4200/5278] eta: 0:51:03 lr: 9.343811320098937e-06 loss: 0.0360 (0.0399) loss_seg: 0.0357 (0.0396) loss_lansim: 0.0241 (0.0252) loss_contra: 0.0001 (0.0020) time: 2.7390 data: 0.0058 max mem: 31630 Epoch: [33] [4210/5278] eta: 0:50:35 lr: 9.341243123852082e-06 loss: 0.0387 (0.0399) loss_seg: 0.0385 (0.0396) loss_lansim: 0.0244 (0.0252) loss_contra: 0.0001 (0.0020) time: 2.7421 data: 0.0059 max mem: 31630 Epoch: [33] [4220/5278] eta: 0:50:06 lr: 9.338674849149894e-06 loss: 0.0387 (0.0399) loss_seg: 0.0385 (0.0396) loss_lansim: 0.0247 (0.0252) loss_contra: 0.0001 (0.0020) time: 2.7425 data: 0.0059 max mem: 31630 Epoch: [33] [4230/5278] eta: 0:49:37 lr: 9.33610649596599e-06 loss: 0.0384 (0.0399) loss_seg: 0.0382 (0.0396) loss_lansim: 0.0247 (0.0252) loss_contra: 0.0001 (0.0020) time: 2.7414 data: 0.0057 max mem: 31630 Epoch: [33] [4240/5278] eta: 0:49:08 lr: 9.333538064273987e-06 loss: 0.0382 (0.0399) loss_seg: 0.0380 (0.0396) loss_lansim: 0.0247 (0.0252) loss_contra: 0.0001 (0.0020) time: 2.7386 data: 0.0056 max mem: 31630 Epoch: [33] [4250/5278] eta: 0:48:40 lr: 9.330969554047477e-06 loss: 0.0380 (0.0399) loss_seg: 0.0377 (0.0396) loss_lansim: 0.0247 (0.0252) loss_contra: 0.0001 (0.0020) time: 2.7358 data: 0.0056 max mem: 31630 Epoch: [33] [4260/5278] eta: 0:48:11 lr: 9.328400965260045e-06 loss: 0.0371 (0.0399) loss_seg: 0.0369 (0.0396) loss_lansim: 0.0244 (0.0252) loss_contra: 0.0001 (0.0020) time: 2.7332 data: 0.0057 max mem: 31630 Epoch: [33] [4270/5278] eta: 0:47:42 lr: 9.32583229788524e-06 loss: 0.0382 (0.0399) loss_seg: 0.0380 (0.0396) loss_lansim: 0.0242 (0.0252) loss_contra: 0.0001 (0.0020) time: 2.7289 data: 0.0057 max mem: 31630 Epoch: [33] [4280/5278] eta: 0:47:14 lr: 9.323263551896609e-06 loss: 0.0385 (0.0399) loss_seg: 0.0382 (0.0396) loss_lansim: 0.0243 (0.0252) loss_contra: 0.0001 (0.0020) time: 2.7257 data: 0.0057 max mem: 31630 Epoch: [33] [4290/5278] eta: 0:46:45 lr: 9.32069472726768e-06 loss: 0.0387 (0.0399) loss_seg: 0.0385 (0.0396) loss_lansim: 0.0243 (0.0252) loss_contra: 0.0001 (0.0020) time: 2.7216 data: 0.0056 max mem: 31630 Epoch: [33] [4300/5278] eta: 0:46:16 lr: 9.318125823971962e-06 loss: 0.0387 (0.0399) loss_seg: 0.0385 (0.0396) loss_lansim: 0.0243 (0.0252) loss_contra: 0.0001 (0.0020) time: 2.7189 data: 0.0056 max mem: 31630 Epoch: [33] [4310/5278] eta: 0:45:48 lr: 9.315556841982953e-06 loss: 0.0381 (0.0399) loss_seg: 0.0379 (0.0396) loss_lansim: 0.0247 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7174 data: 0.0056 max mem: 31630 Epoch: [33] [4320/5278] eta: 0:45:19 lr: 9.312987781274115e-06 loss: 0.0371 (0.0399) loss_seg: 0.0369 (0.0396) loss_lansim: 0.0242 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7187 data: 0.0056 max mem: 31630 Epoch: [33] [4330/5278] eta: 0:44:50 lr: 9.310418641818913e-06 loss: 0.0371 (0.0399) loss_seg: 0.0369 (0.0396) loss_lansim: 0.0243 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7208 data: 0.0056 max mem: 31630 Epoch: [33] [4340/5278] eta: 0:44:22 lr: 9.307849423590789e-06 loss: 0.0358 (0.0399) loss_seg: 0.0356 (0.0396) loss_lansim: 0.0240 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7218 data: 0.0056 max mem: 31630 Epoch: [33] [4350/5278] eta: 0:43:53 lr: 9.305280126563173e-06 loss: 0.0361 (0.0399) loss_seg: 0.0358 (0.0396) loss_lansim: 0.0240 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7234 data: 0.0056 max mem: 31630 Epoch: [33] [4360/5278] eta: 0:43:24 lr: 9.302710750709457e-06 loss: 0.0368 (0.0399) loss_seg: 0.0365 (0.0396) loss_lansim: 0.0240 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7240 data: 0.0055 max mem: 31630 Epoch: [33] [4370/5278] eta: 0:42:56 lr: 9.300141296003037e-06 loss: 0.0369 (0.0399) loss_seg: 0.0366 (0.0396) loss_lansim: 0.0240 (0.0251) loss_contra: 0.0002 (0.0020) time: 2.7256 data: 0.0055 max mem: 31630 Epoch: [33] [4380/5278] eta: 0:42:27 lr: 9.297571762417288e-06 loss: 0.0367 (0.0399) loss_seg: 0.0365 (0.0396) loss_lansim: 0.0239 (0.0251) loss_contra: 0.0002 (0.0020) time: 2.7267 data: 0.0055 max mem: 31630 Epoch: [33] [4390/5278] eta: 0:41:59 lr: 9.295002149925569e-06 loss: 0.0367 (0.0399) loss_seg: 0.0365 (0.0396) loss_lansim: 0.0240 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7284 data: 0.0055 max mem: 31630 Epoch: [33] [4400/5278] eta: 0:41:30 lr: 9.292432458501208e-06 loss: 0.0367 (0.0399) loss_seg: 0.0365 (0.0396) loss_lansim: 0.0242 (0.0252) loss_contra: 0.0002 (0.0020) time: 2.7305 data: 0.0055 max mem: 31630 Epoch: [33] [4410/5278] eta: 0:41:02 lr: 9.28986268811753e-06 loss: 0.0369 (0.0399) loss_seg: 0.0366 (0.0396) loss_lansim: 0.0239 (0.0251) loss_contra: 0.0001 (0.0020) time: 2.7322 data: 0.0054 max mem: 31630 Epoch: [33] [4420/5278] eta: 0:40:33 lr: 9.287292838747842e-06 loss: 0.0380 (0.0399) loss_seg: 0.0378 (0.0396) loss_lansim: 0.0241 (0.0252) loss_contra: 0.0001 (0.0020) time: 2.7347 data: 0.0054 max mem: 31630 Epoch: [33] [4430/5278] eta: 0:40:05 lr: 9.284722910365431e-06 loss: 0.0380 (0.0399) loss_seg: 0.0378 (0.0396) loss_lansim: 0.0241 (0.0251) loss_contra: 0.0001 (0.0020) time: 2.7368 data: 0.0054 max mem: 31630 Epoch: [33] [4440/5278] eta: 0:39:36 lr: 9.282152902943557e-06 loss: 0.0402 (0.0399) loss_seg: 0.0400 (0.0396) loss_lansim: 0.0244 (0.0252) loss_contra: 0.0001 (0.0020) time: 2.7394 data: 0.0054 max mem: 31630 Epoch: [33] [4450/5278] eta: 0:39:07 lr: 9.279582816455477e-06 loss: 0.0406 (0.0399) loss_seg: 0.0403 (0.0396) loss_lansim: 0.0245 (0.0251) loss_contra: 0.0001 (0.0020) time: 2.7417 data: 0.0054 max mem: 31630 Epoch: [33] [4460/5278] eta: 0:38:39 lr: 9.277012650874429e-06 loss: 0.0403 (0.0399) loss_seg: 0.0401 (0.0396) loss_lansim: 0.0245 (0.0251) loss_contra: 0.0001 (0.0020) time: 2.7435 data: 0.0054 max mem: 31630 Epoch: [33] [4470/5278] eta: 0:38:10 lr: 9.274442406173632e-06 loss: 0.0403 (0.0399) loss_seg: 0.0401 (0.0396) loss_lansim: 0.0246 (0.0251) loss_contra: 0.0001 (0.0020) time: 2.7459 data: 0.0054 max mem: 31630 Epoch: [33] [4480/5278] eta: 0:37:42 lr: 9.271872082326277e-06 loss: 0.0402 (0.0399) loss_seg: 0.0400 (0.0396) loss_lansim: 0.0246 (0.0251) loss_contra: 0.0001 (0.0020) time: 2.7469 data: 0.0054 max mem: 31630 Epoch: [33] [4490/5278] eta: 0:37:13 lr: 9.26930167930555e-06 loss: 0.0387 (0.0399) loss_seg: 0.0385 (0.0396) loss_lansim: 0.0245 (0.0251) loss_contra: 0.0001 (0.0020) time: 2.7462 data: 0.0054 max mem: 31630 Epoch: [33] [4500/5278] eta: 0:36:45 lr: 9.26673119708462e-06 loss: 0.0393 (0.0399) loss_seg: 0.0390 (0.0396) loss_lansim: 0.0245 (0.0251) loss_contra: 0.0001 (0.0020) time: 2.7448 data: 0.0054 max mem: 31630 Epoch: [33] [4510/5278] eta: 0:36:16 lr: 9.264160635636637e-06 loss: 0.0387 (0.0399) loss_seg: 0.0385 (0.0396) loss_lansim: 0.0246 (0.0251) loss_contra: 0.0001 (0.0020) time: 2.7414 data: 0.0054 max mem: 31630 Epoch: [33] [4520/5278] eta: 0:35:48 lr: 9.261589994934722e-06 loss: 0.0378 (0.0399) loss_seg: 0.0376 (0.0396) loss_lansim: 0.0245 (0.0251) loss_contra: 0.0001 (0.0020) time: 2.7369 data: 0.0054 max mem: 31630 Epoch: [33] [4530/5278] eta: 0:35:19 lr: 9.259019274951993e-06 loss: 0.0378 (0.0399) loss_seg: 0.0375 (0.0396) loss_lansim: 0.0244 (0.0251) loss_contra: 0.0001 (0.0020) time: 2.7338 data: 0.0054 max mem: 31630 Epoch: [33] [4540/5278] eta: 0:34:51 lr: 9.256448475661544e-06 loss: 0.0365 (0.0399) loss_seg: 0.0362 (0.0396) loss_lansim: 0.0241 (0.0251) loss_contra: 0.0001 (0.0020) time: 2.7303 data: 0.0054 max mem: 31630 Epoch: [33] [4550/5278] eta: 0:34:22 lr: 9.253877597036457e-06 loss: 0.0364 (0.0399) loss_seg: 0.0361 (0.0396) loss_lansim: 0.0241 (0.0251) loss_contra: 0.0001 (0.0020) time: 2.7264 data: 0.0055 max mem: 31630 Epoch: [33] [4560/5278] eta: 0:33:54 lr: 9.251306639049798e-06 loss: 0.0365 (0.0399) loss_seg: 0.0362 (0.0396) loss_lansim: 0.0241 (0.0251) loss_contra: 0.0001 (0.0020) time: 2.7226 data: 0.0054 max mem: 31630 Epoch: [33] [4570/5278] eta: 0:33:25 lr: 9.248735601674596e-06 loss: 0.0365 (0.0399) loss_seg: 0.0361 (0.0396) loss_lansim: 0.0241 (0.0251) loss_contra: 0.0002 (0.0020) time: 2.7195 data: 0.0054 max mem: 31630 Epoch: [33] [4580/5278] eta: 0:32:57 lr: 9.246164484883885e-06 loss: 0.0366 (0.0399) loss_seg: 0.0363 (0.0396) loss_lansim: 0.0241 (0.0251) loss_contra: 0.0002 (0.0020) time: 2.7167 data: 0.0055 max mem: 31630 Epoch: [33] [4590/5278] eta: 0:32:28 lr: 9.243593288650671e-06 loss: 0.0375 (0.0399) loss_seg: 0.0373 (0.0396) loss_lansim: 0.0241 (0.0251) loss_contra: 0.0002 (0.0020) time: 2.7162 data: 0.0055 max mem: 31630 Epoch: [33] [4600/5278] eta: 0:32:00 lr: 9.241022012947954e-06 loss: 0.0365 (0.0399) loss_seg: 0.0362 (0.0396) loss_lansim: 0.0245 (0.0251) loss_contra: 0.0002 (0.0020) time: 2.7159 data: 0.0056 max mem: 31630 Epoch: [33] [4610/5278] eta: 0:31:31 lr: 9.238450657748695e-06 loss: 0.0365 (0.0399) loss_seg: 0.0362 (0.0396) loss_lansim: 0.0241 (0.0251) loss_contra: 0.0002 (0.0020) time: 2.7170 data: 0.0056 max mem: 31630 Epoch: [33] [4620/5278] eta: 0:31:03 lr: 9.235879223025854e-06 loss: 0.0368 (0.0399) loss_seg: 0.0366 (0.0396) loss_lansim: 0.0241 (0.0251) loss_contra: 0.0002 (0.0020) time: 2.7208 data: 0.0056 max mem: 31630 Epoch: [33] [4630/5278] eta: 0:30:34 lr: 9.233307708752368e-06 loss: 0.0375 (0.0399) loss_seg: 0.0373 (0.0396) loss_lansim: 0.0241 (0.0251) loss_contra: 0.0002 (0.0020) time: 2.7285 data: 0.0055 max mem: 31630 Epoch: [33] [4640/5278] eta: 0:30:06 lr: 9.230736114901168e-06 loss: 0.0379 (0.0399) loss_seg: 0.0376 (0.0396) loss_lansim: 0.0243 (0.0251) loss_contra: 0.0002 (0.0020) time: 2.7326 data: 0.0055 max mem: 31630 Epoch: [33] [4650/5278] eta: 0:29:38 lr: 9.22816444144514e-06 loss: 0.0388 (0.0399) loss_seg: 0.0383 (0.0396) loss_lansim: 0.0246 (0.0251) loss_contra: 0.0001 (0.0020) time: 2.7388 data: 0.0055 max mem: 31630 Epoch: [33] [4660/5278] eta: 0:29:09 lr: 9.22559268835718e-06 loss: 0.0359 (0.0399) loss_seg: 0.0356 (0.0396) loss_lansim: 0.0241 (0.0251) loss_contra: 0.0001 (0.0020) time: 2.7437 data: 0.0055 max mem: 31630 Epoch: [33] [4670/5278] eta: 0:28:41 lr: 9.223020855610153e-06 loss: 0.0359 (0.0398) loss_seg: 0.0356 (0.0396) loss_lansim: 0.0243 (0.0251) loss_contra: 0.0002 (0.0020) time: 2.7463 data: 0.0054 max mem: 31630 Epoch: [33] [4680/5278] eta: 0:28:12 lr: 9.220448943176915e-06 loss: 0.0369 (0.0399) loss_seg: 0.0367 (0.0396) loss_lansim: 0.0243 (0.0251) loss_contra: 0.0002 (0.0020) time: 2.7513 data: 0.0054 max mem: 31630 Epoch: [33] [4690/5278] eta: 0:27:44 lr: 9.217876951030287e-06 loss: 0.0369 (0.0399) loss_seg: 0.0367 (0.0396) loss_lansim: 0.0243 (0.0251) loss_contra: 0.0001 (0.0020) time: 2.7590 data: 0.0054 max mem: 31630 Epoch: [33] [4700/5278] eta: 0:27:16 lr: 9.21530487914309e-06 loss: 0.0382 (0.0399) loss_seg: 0.0379 (0.0396) loss_lansim: 0.0244 (0.0251) loss_contra: 0.0002 (0.0020) time: 2.7679 data: 0.0055 max mem: 31630 Epoch: [33] [4710/5278] eta: 0:26:47 lr: 9.21273272748812e-06 loss: 0.0400 (0.0399) loss_seg: 0.0397 (0.0396) loss_lansim: 0.0244 (0.0251) loss_contra: 0.0001 (0.0020) time: 2.7770 data: 0.0054 max mem: 31630 Epoch: [33] [4720/5278] eta: 0:26:19 lr: 9.210160496038165e-06 loss: 0.0383 (0.0399) loss_seg: 0.0380 (0.0396) loss_lansim: 0.0245 (0.0251) loss_contra: 0.0002 (0.0020) time: 2.7827 data: 0.0053 max mem: 31630 Epoch: [33] [4730/5278] eta: 0:25:51 lr: 9.20758818476597e-06 loss: 0.0375 (0.0399) loss_seg: 0.0373 (0.0396) loss_lansim: 0.0246 (0.0251) loss_contra: 0.0002 (0.0020) time: 2.7837 data: 0.0053 max mem: 31630 Epoch: [33] [4740/5278] eta: 0:25:22 lr: 9.20501579364429e-06 loss: 0.0375 (0.0399) loss_seg: 0.0373 (0.0396) loss_lansim: 0.0245 (0.0251) loss_contra: 0.0002 (0.0020) time: 2.7879 data: 0.0053 max mem: 31630 Epoch: [33] [4750/5278] eta: 0:24:54 lr: 9.202443322645847e-06 loss: 0.0382 (0.0399) loss_seg: 0.0379 (0.0396) loss_lansim: 0.0246 (0.0251) loss_contra: 0.0002 (0.0020) time: 2.7882 data: 0.0053 max mem: 31630 Epoch: [33] [4760/5278] eta: 0:24:26 lr: 9.199870771743352e-06 loss: 0.0399 (0.0399) loss_seg: 0.0397 (0.0396) loss_lansim: 0.0246 (0.0251) loss_contra: 0.0002 (0.0020) time: 2.7903 data: 0.0052 max mem: 31630 Epoch: [33] [4770/5278] eta: 0:23:57 lr: 9.1972981409095e-06 loss: 0.0402 (0.0399) loss_seg: 0.0400 (0.0396) loss_lansim: 0.0245 (0.0251) loss_contra: 0.0002 (0.0020) time: 2.7932 data: 0.0053 max mem: 31630 Epoch: [33] [4780/5278] eta: 0:23:29 lr: 9.194725430116951e-06 loss: 0.0398 (0.0399) loss_seg: 0.0395 (0.0396) loss_lansim: 0.0246 (0.0251) loss_contra: 0.0002 (0.0020) time: 2.7941 data: 0.0054 max mem: 31630 Epoch: [33] [4790/5278] eta: 0:23:01 lr: 9.192152639338366e-06 loss: 0.0380 (0.0399) loss_seg: 0.0377 (0.0396) loss_lansim: 0.0248 (0.0251) loss_contra: 0.0002 (0.0020) time: 2.7920 data: 0.0053 max mem: 31630 Epoch: [33] [4800/5278] eta: 0:22:32 lr: 9.189579768546385e-06 loss: 0.0372 (0.0398) loss_seg: 0.0370 (0.0396) loss_lansim: 0.0245 (0.0251) loss_contra: 0.0002 (0.0020) time: 2.7881 data: 0.0053 max mem: 31630 Epoch: [33] [4810/5278] eta: 0:22:04 lr: 9.187006817713629e-06 loss: 0.0340 (0.0398) loss_seg: 0.0338 (0.0396) loss_lansim: 0.0245 (0.0251) loss_contra: 0.0002 (0.0020) time: 2.7830 data: 0.0054 max mem: 31630 Epoch: [33] [4820/5278] eta: 0:21:35 lr: 9.184433786812688e-06 loss: 0.0364 (0.0398) loss_seg: 0.0362 (0.0396) loss_lansim: 0.0240 (0.0251) loss_contra: 0.0002 (0.0020) time: 2.7793 data: 0.0054 max mem: 31630 Epoch: [33] [4830/5278] eta: 0:21:07 lr: 9.181860675816152e-06 loss: 0.0368 (0.0398) loss_seg: 0.0365 (0.0396) loss_lansim: 0.0238 (0.0251) loss_contra: 0.0002 (0.0020) time: 2.7754 data: 0.0055 max mem: 31630 Epoch: [33] [4840/5278] eta: 0:20:39 lr: 9.179287484696587e-06 loss: 0.0367 (0.0398) loss_seg: 0.0364 (0.0396) loss_lansim: 0.0239 (0.0251) loss_contra: 0.0001 (0.0019) time: 2.7717 data: 0.0055 max mem: 31630 Epoch: [33] [4850/5278] eta: 0:20:10 lr: 9.176714213426546e-06 loss: 0.0368 (0.0398) loss_seg: 0.0365 (0.0396) loss_lansim: 0.0237 (0.0251) loss_contra: 0.0001 (0.0019) time: 2.7696 data: 0.0056 max mem: 31630 Epoch: [33] [4860/5278] eta: 0:19:42 lr: 9.174140861978546e-06 loss: 0.0364 (0.0398) loss_seg: 0.0362 (0.0396) loss_lansim: 0.0238 (0.0251) loss_contra: 0.0001 (0.0019) time: 2.7668 data: 0.0057 max mem: 31630 Epoch: [33] [4870/5278] eta: 0:19:14 lr: 9.171567430325104e-06 loss: 0.0359 (0.0398) loss_seg: 0.0357 (0.0396) loss_lansim: 0.0238 (0.0251) loss_contra: 0.0001 (0.0019) time: 2.7650 data: 0.0057 max mem: 31630 Epoch: [33] [4880/5278] eta: 0:18:45 lr: 9.168993918438713e-06 loss: 0.0359 (0.0398) loss_seg: 0.0357 (0.0396) loss_lansim: 0.0235 (0.0251) loss_contra: 0.0001 (0.0019) time: 2.7631 data: 0.0056 max mem: 31630 Epoch: [33] [4890/5278] eta: 0:18:17 lr: 9.166420326291856e-06 loss: 0.0351 (0.0398) loss_seg: 0.0349 (0.0396) loss_lansim: 0.0232 (0.0251) loss_contra: 0.0001 (0.0019) time: 2.7616 data: 0.0056 max mem: 31630 Epoch: [33] [4900/5278] eta: 0:17:49 lr: 9.163846653856976e-06 loss: 0.0364 (0.0398) loss_seg: 0.0362 (0.0396) loss_lansim: 0.0239 (0.0251) loss_contra: 0.0001 (0.0019) time: 2.7599 data: 0.0057 max mem: 31630 Epoch: [33] [4910/5278] eta: 0:17:20 lr: 9.161272901106523e-06 loss: 0.0368 (0.0398) loss_seg: 0.0365 (0.0396) loss_lansim: 0.0240 (0.0251) loss_contra: 0.0001 (0.0019) time: 2.7591 data: 0.0057 max mem: 31630 Epoch: [33] [4920/5278] eta: 0:16:52 lr: 9.158699068012914e-06 loss: 0.0374 (0.0398) loss_seg: 0.0371 (0.0396) loss_lansim: 0.0241 (0.0251) loss_contra: 0.0001 (0.0019) time: 2.7576 data: 0.0056 max mem: 31630 Epoch: [33] [4930/5278] eta: 0:16:24 lr: 9.156125154548558e-06 loss: 0.0367 (0.0398) loss_seg: 0.0365 (0.0396) loss_lansim: 0.0241 (0.0251) loss_contra: 0.0002 (0.0019) time: 2.7576 data: 0.0057 max mem: 31630 Epoch: [33] [4940/5278] eta: 0:15:55 lr: 9.153551160685829e-06 loss: 0.0367 (0.0398) loss_seg: 0.0365 (0.0396) loss_lansim: 0.0237 (0.0251) loss_contra: 0.0001 (0.0019) time: 2.7585 data: 0.0058 max mem: 31630 Epoch: [33] [4950/5278] eta: 0:15:27 lr: 9.150977086397101e-06 loss: 0.0348 (0.0398) loss_seg: 0.0346 (0.0396) loss_lansim: 0.0234 (0.0251) loss_contra: 0.0002 (0.0019) time: 2.7595 data: 0.0058 max mem: 31630 Epoch: [33] [4960/5278] eta: 0:14:59 lr: 9.148402931654723e-06 loss: 0.0348 (0.0398) loss_seg: 0.0345 (0.0395) loss_lansim: 0.0234 (0.0251) loss_contra: 0.0002 (0.0019) time: 2.7622 data: 0.0059 max mem: 31630 Epoch: [33] [4970/5278] eta: 0:14:30 lr: 9.145828696431031e-06 loss: 0.0348 (0.0398) loss_seg: 0.0346 (0.0396) loss_lansim: 0.0235 (0.0251) loss_contra: 0.0002 (0.0019) time: 2.7589 data: 0.0059 max mem: 31630 Epoch: [33] [4980/5278] eta: 0:14:02 lr: 9.143254380698325e-06 loss: 0.0356 (0.0398) loss_seg: 0.0353 (0.0396) loss_lansim: 0.0235 (0.0251) loss_contra: 0.0001 (0.0019) time: 2.7565 data: 0.0059 max mem: 31630 Epoch: [33] [4990/5278] eta: 0:13:34 lr: 9.140679984428904e-06 loss: 0.0356 (0.0398) loss_seg: 0.0353 (0.0395) loss_lansim: 0.0235 (0.0251) loss_contra: 0.0002 (0.0019) time: 2.7546 data: 0.0060 max mem: 31630 Epoch: [33] [5000/5278] eta: 0:13:05 lr: 9.138105507595048e-06 loss: 0.0346 (0.0398) loss_seg: 0.0344 (0.0395) loss_lansim: 0.0235 (0.0251) loss_contra: 0.0002 (0.0019) time: 2.7542 data: 0.0060 max mem: 31630 Epoch: [33] [5010/5278] eta: 0:12:37 lr: 9.13553095016901e-06 loss: 0.0356 (0.0398) loss_seg: 0.0354 (0.0395) loss_lansim: 0.0234 (0.0251) loss_contra: 0.0002 (0.0019) time: 2.7519 data: 0.0060 max mem: 31630 Epoch: [33] [5020/5278] eta: 0:12:09 lr: 9.13295631212304e-06 loss: 0.0348 (0.0398) loss_seg: 0.0346 (0.0395) loss_lansim: 0.0237 (0.0251) loss_contra: 0.0002 (0.0019) time: 2.7476 data: 0.0061 max mem: 31630 Epoch: [33] [5030/5278] eta: 0:11:40 lr: 9.130381593429344e-06 loss: 0.0358 (0.0398) loss_seg: 0.0356 (0.0395) loss_lansim: 0.0237 (0.0251) loss_contra: 0.0002 (0.0020) time: 2.7417 data: 0.0061 max mem: 31630 Epoch: [33] [5040/5278] eta: 0:11:12 lr: 9.127806794060134e-06 loss: 0.0358 (0.0398) loss_seg: 0.0356 (0.0395) loss_lansim: 0.0241 (0.0251) loss_contra: 0.0002 (0.0019) time: 2.7357 data: 0.0060 max mem: 31630 Epoch: [33] [5050/5278] eta: 0:10:44 lr: 9.125231913987593e-06 loss: 0.0360 (0.0398) loss_seg: 0.0357 (0.0395) loss_lansim: 0.0242 (0.0251) loss_contra: 0.0001 (0.0019) time: 2.7306 data: 0.0059 max mem: 31630 Epoch: [33] [5060/5278] eta: 0:10:15 lr: 9.122656953183895e-06 loss: 0.0364 (0.0398) loss_seg: 0.0361 (0.0395) loss_lansim: 0.0248 (0.0251) loss_contra: 0.0002 (0.0019) time: 2.7238 data: 0.0059 max mem: 31630 Epoch: [33] [5070/5278] eta: 0:09:47 lr: 9.120081911621174e-06 loss: 0.0362 (0.0398) loss_seg: 0.0359 (0.0395) loss_lansim: 0.0246 (0.0251) loss_contra: 0.0002 (0.0019) time: 2.7237 data: 0.0061 max mem: 31630 Epoch: [33] [5080/5278] eta: 0:09:19 lr: 9.117506789271565e-06 loss: 0.0360 (0.0398) loss_seg: 0.0357 (0.0395) loss_lansim: 0.0246 (0.0251) loss_contra: 0.0002 (0.0019) time: 2.7230 data: 0.0060 max mem: 31630 Epoch: [33] [5090/5278] eta: 0:08:51 lr: 9.114931586107182e-06 loss: 0.0362 (0.0398) loss_seg: 0.0359 (0.0395) loss_lansim: 0.0246 (0.0251) loss_contra: 0.0002 (0.0019) time: 2.7204 data: 0.0060 max mem: 31630 Epoch: [33] [5100/5278] eta: 0:08:22 lr: 9.112356302100124e-06 loss: 0.0363 (0.0398) loss_seg: 0.0359 (0.0395) loss_lansim: 0.0246 (0.0251) loss_contra: 0.0002 (0.0019) time: 2.7164 data: 0.0060 max mem: 31630 Epoch: [33] [5110/5278] eta: 0:07:54 lr: 9.109780937222451e-06 loss: 0.0355 (0.0398) loss_seg: 0.0353 (0.0395) loss_lansim: 0.0246 (0.0251) loss_contra: 0.0001 (0.0019) time: 2.7139 data: 0.0060 max mem: 31630 Epoch: [33] [5120/5278] eta: 0:07:26 lr: 9.107205491446231e-06 loss: 0.0358 (0.0398) loss_seg: 0.0356 (0.0395) loss_lansim: 0.0248 (0.0251) loss_contra: 0.0001 (0.0019) time: 2.7139 data: 0.0060 max mem: 31630 Epoch: [33] [5130/5278] eta: 0:06:57 lr: 9.104629964743493e-06 loss: 0.0355 (0.0398) loss_seg: 0.0353 (0.0395) loss_lansim: 0.0249 (0.0251) loss_contra: 0.0001 (0.0019) time: 2.7139 data: 0.0060 max mem: 31630 Epoch: [33] [5140/5278] eta: 0:06:29 lr: 9.102054357086271e-06 loss: 0.0362 (0.0398) loss_seg: 0.0359 (0.0395) loss_lansim: 0.0249 (0.0251) loss_contra: 0.0001 (0.0019) time: 2.7131 data: 0.0061 max mem: 31630 Epoch: [33] [5150/5278] eta: 0:06:01 lr: 9.099478668446546e-06 loss: 0.0356 (0.0398) loss_seg: 0.0354 (0.0395) loss_lansim: 0.0248 (0.0251) loss_contra: 0.0001 (0.0019) time: 2.7119 data: 0.0061 max mem: 31630 Epoch: [33] [5160/5278] eta: 0:05:33 lr: 9.096902898796315e-06 loss: 0.0351 (0.0398) loss_seg: 0.0348 (0.0395) loss_lansim: 0.0244 (0.0251) loss_contra: 0.0001 (0.0019) time: 2.7125 data: 0.0061 max mem: 31630 Epoch: [33] [5170/5278] eta: 0:05:04 lr: 9.094327048107534e-06 loss: 0.0354 (0.0398) loss_seg: 0.0351 (0.0395) loss_lansim: 0.0244 (0.0251) loss_contra: 0.0001 (0.0019) time: 2.7114 data: 0.0060 max mem: 31630 Epoch: [33] [5180/5278] eta: 0:04:36 lr: 9.091751116352157e-06 loss: 0.0355 (0.0398) loss_seg: 0.0353 (0.0395) loss_lansim: 0.0243 (0.0251) loss_contra: 0.0001 (0.0019) time: 2.7106 data: 0.0060 max mem: 31630 Epoch: [33] [5190/5278] eta: 0:04:08 lr: 9.0891751035021e-06 loss: 0.0355 (0.0398) loss_seg: 0.0353 (0.0395) loss_lansim: 0.0244 (0.0251) loss_contra: 0.0001 (0.0019) time: 2.7104 data: 0.0059 max mem: 31630 Epoch: [33] [5200/5278] eta: 0:03:40 lr: 9.086599009529276e-06 loss: 0.0362 (0.0398) loss_seg: 0.0360 (0.0395) loss_lansim: 0.0242 (0.0251) loss_contra: 0.0001 (0.0019) time: 2.7139 data: 0.0059 max mem: 31630 Epoch: [33] [5210/5278] eta: 0:03:11 lr: 9.084022834405575e-06 loss: 0.0362 (0.0398) loss_seg: 0.0360 (0.0395) loss_lansim: 0.0240 (0.0251) loss_contra: 0.0002 (0.0019) time: 2.7174 data: 0.0058 max mem: 31630 Epoch: [33] [5220/5278] eta: 0:02:43 lr: 9.081446578102875e-06 loss: 0.0363 (0.0398) loss_seg: 0.0361 (0.0395) loss_lansim: 0.0237 (0.0251) loss_contra: 0.0002 (0.0019) time: 2.7207 data: 0.0058 max mem: 31630 Epoch: [33] [5230/5278] eta: 0:02:15 lr: 9.078870240593014e-06 loss: 0.0363 (0.0398) loss_seg: 0.0361 (0.0395) loss_lansim: 0.0236 (0.0251) loss_contra: 0.0001 (0.0019) time: 2.7247 data: 0.0058 max mem: 31630 Epoch: [33] [5240/5278] eta: 0:01:47 lr: 9.076293821847834e-06 loss: 0.0359 (0.0398) loss_seg: 0.0357 (0.0395) loss_lansim: 0.0234 (0.0251) loss_contra: 0.0001 (0.0019) time: 2.7285 data: 0.0057 max mem: 31630 Epoch: [33] [5250/5278] eta: 0:01:19 lr: 9.073717321839148e-06 loss: 0.0357 (0.0398) loss_seg: 0.0355 (0.0395) loss_lansim: 0.0237 (0.0251) loss_contra: 0.0001 (0.0019) time: 2.7331 data: 0.0056 max mem: 31630 Epoch: [33] [5260/5278] eta: 0:00:50 lr: 9.071140740538754e-06 loss: 0.0359 (0.0398) loss_seg: 0.0357 (0.0395) loss_lansim: 0.0236 (0.0251) loss_contra: 0.0002 (0.0019) time: 2.7359 data: 0.0056 max mem: 31630 Epoch: [33] [5270/5278] eta: 0:00:22 lr: 9.068564077918435e-06 loss: 0.0360 (0.0398) loss_seg: 0.0357 (0.0395) loss_lansim: 0.0231 (0.0251) loss_contra: 0.0001 (0.0019) time: 2.7389 data: 0.0055 max mem: 31630 Epoch: [33] Total time: 4:08:12 Test: [ 0/2573] eta: 0:55:45 time: 1.3001 data: 1.1396 max mem: 31630 Test: [ 100/2573] eta: 0:06:12 time: 0.1391 data: 0.0014 max mem: 31630 Test: [ 200/2573] eta: 0:05:50 time: 0.1450 data: 0.0015 max mem: 31630 Test: [ 300/2573] eta: 0:05:30 time: 0.1406 data: 0.0015 max mem: 31630 Test: [ 400/2573] eta: 0:05:14 time: 0.1428 data: 0.0015 max mem: 31630 Test: [ 500/2573] eta: 0:04:59 time: 0.1439 data: 0.0015 max mem: 31630 Test: [ 600/2573] eta: 0:04:45 time: 0.1451 data: 0.0015 max mem: 31630 Test: [ 700/2573] eta: 0:04:31 time: 0.1484 data: 0.0015 max mem: 31630 Test: [ 800/2573] eta: 0:04:17 time: 0.1457 data: 0.0014 max mem: 31630 Test: [ 900/2573] eta: 0:04:03 time: 0.1466 data: 0.0015 max mem: 31630 Test: [1000/2573] eta: 0:03:48 time: 0.1437 data: 0.0014 max mem: 31630 Test: [1100/2573] eta: 0:03:33 time: 0.1431 data: 0.0014 max mem: 31630 Test: [1200/2573] eta: 0:03:19 time: 0.1454 data: 0.0014 max mem: 31630 Test: [1300/2573] eta: 0:03:04 time: 0.1438 data: 0.0014 max mem: 31630 Test: [1400/2573] eta: 0:02:49 time: 0.1402 data: 0.0014 max mem: 31630 Test: [1500/2573] eta: 0:02:35 time: 0.1445 data: 0.0014 max mem: 31630 Test: [1600/2573] eta: 0:02:20 time: 0.1437 data: 0.0014 max mem: 31630 Test: [1700/2573] eta: 0:02:06 time: 0.1447 data: 0.0015 max mem: 31630 Test: [1800/2573] eta: 0:01:51 time: 0.1417 data: 0.0015 max mem: 31630 Test: [1900/2573] eta: 0:01:37 time: 0.1403 data: 0.0015 max mem: 31630 Test: [2000/2573] eta: 0:01:22 time: 0.1402 data: 0.0015 max mem: 31630 Test: [2100/2573] eta: 0:01:08 time: 0.1446 data: 0.0015 max mem: 31630 Test: [2200/2573] eta: 0:00:53 time: 0.1394 data: 0.0015 max mem: 31630 Test: [2300/2573] eta: 0:00:39 time: 0.1446 data: 0.0015 max mem: 31630 Test: [2400/2573] eta: 0:00:24 time: 0.1424 data: 0.0014 max mem: 31630 Test: [2500/2573] eta: 0:00:10 time: 0.1450 data: 0.0015 max mem: 31630 Test: Total time: 0:06:10 Final results: precision@0.5 = 70.59 precision@0.6 = 66.03 precision@0.7 = 60.01 precision@0.8 = 48.59 precision@0.9 = 24.88 overall IoU = 59.02 mean IoU = 62.41 Epoch: [34] [ 0/5278] eta: 6:25:35 lr: 9.066502689252851e-06 loss: 0.0251 (0.0251) loss_seg: 0.0249 (0.0249) loss_lansim: 0.0230 (0.0230) loss_contra: 0.0002 (0.0002) time: 4.3835 data: 1.4414 max mem: 31630 Epoch: [34] [ 10/5278] eta: 4:12:08 lr: 9.063925880185471e-06 loss: 0.0308 (0.0326) loss_seg: 0.0306 (0.0324) loss_lansim: 0.0224 (0.0237) loss_contra: 0.0001 (0.0005) time: 2.8717 data: 0.1361 max mem: 31630 Epoch: [34] [ 20/5278] eta: 4:05:22 lr: 9.06134898971904e-06 loss: 0.0282 (0.0317) loss_seg: 0.0280 (0.0314) loss_lansim: 0.0228 (0.0242) loss_contra: 0.0002 (0.0007) time: 2.8000 data: 0.0740 max mem: 31630 Epoch: [34] [ 30/5278] eta: 4:02:32 lr: 9.05877201782526e-06 loss: 0.0281 (0.0319) loss_seg: 0.0278 (0.0317) loss_lansim: 0.0231 (0.0242) loss_contra: 0.0002 (0.0007) time: 2.7730 data: 0.0521 max mem: 31630 Epoch: [34] [ 40/5278] eta: 4:00:43 lr: 9.056194964475822e-06 loss: 0.0308 (0.0322) loss_seg: 0.0306 (0.0319) loss_lansim: 0.0231 (0.0240) loss_contra: 0.0002 (0.0020) time: 2.7574 data: 0.0410 max mem: 31630 Epoch: [34] [ 50/5278] eta: 3:59:52 lr: 9.053617829642403e-06 loss: 0.0311 (0.0336) loss_seg: 0.0309 (0.0333) loss_lansim: 0.0232 (0.0242) loss_contra: 0.0002 (0.0018) time: 2.7530 data: 0.0342 max mem: 31630 Epoch: [34] [ 60/5278] eta: 3:59:03 lr: 9.051040613296636e-06 loss: 0.0311 (0.0342) loss_seg: 0.0309 (0.0340) loss_lansim: 0.0233 (0.0244) loss_contra: 0.0002 (0.0016) time: 2.7489 data: 0.0295 max mem: 31630 Epoch: [34] [ 70/5278] eta: 3:58:18 lr: 9.048463315410162e-06 loss: 0.0318 (0.0356) loss_seg: 0.0315 (0.0353) loss_lansim: 0.0235 (0.0246) loss_contra: 0.0002 (0.0014) time: 2.7454 data: 0.0261 max mem: 31630 Epoch: [34] [ 80/5278] eta: 3:57:40 lr: 9.045885935954593e-06 loss: 0.0324 (0.0363) loss_seg: 0.0323 (0.0361) loss_lansim: 0.0238 (0.0247) loss_contra: 0.0002 (0.0014) time: 2.7435 data: 0.0235 max mem: 31630 Epoch: [34] [ 90/5278] eta: 3:57:30 lr: 9.043308474901526e-06 loss: 0.0333 (0.0367) loss_seg: 0.0326 (0.0364) loss_lansim: 0.0242 (0.0248) loss_contra: 0.0002 (0.0015) time: 2.7469 data: 0.0215 max mem: 31630 Epoch: [34] [ 100/5278] eta: 3:57:50 lr: 9.040730932222527e-06 loss: 0.0335 (0.0371) loss_seg: 0.0333 (0.0368) loss_lansim: 0.0236 (0.0245) loss_contra: 0.0002 (0.0016) time: 2.7398 data: 0.0057 max mem: 31630 Epoch: [34] [ 110/5278] eta: 3:57:49 lr: 9.038153307889157e-06 loss: 0.0339 (0.0375) loss_seg: 0.0337 (0.0373) loss_lansim: 0.0244 (0.0245) loss_contra: 0.0002 (0.0015) time: 2.7490 data: 0.0057 max mem: 31630 Epoch: [34] [ 120/5278] eta: 3:57:44 lr: 9.03557560187295e-06 loss: 0.0368 (0.0375) loss_seg: 0.0365 (0.0373) loss_lansim: 0.0243 (0.0244) loss_contra: 0.0002 (0.0016) time: 2.7582 data: 0.0056 max mem: 31630 Epoch: [34] [ 130/5278] eta: 3:57:02 lr: 9.032997814145433e-06 loss: 0.0367 (0.0372) loss_seg: 0.0365 (0.0370) loss_lansim: 0.0240 (0.0242) loss_contra: 0.0001 (0.0015) time: 2.7595 data: 0.0055 max mem: 31630 Epoch: [34] [ 140/5278] eta: 3:56:08 lr: 9.030419944678092e-06 loss: 0.0376 (0.0371) loss_seg: 0.0374 (0.0368) loss_lansim: 0.0241 (0.0241) loss_contra: 0.0001 (0.0015) time: 2.7577 data: 0.0054 max mem: 31630 Epoch: [34] [ 150/5278] eta: 3:55:19 lr: 9.027841993442413e-06 loss: 0.0371 (0.0372) loss_seg: 0.0369 (0.0369) loss_lansim: 0.0242 (0.0243) loss_contra: 0.0001 (0.0014) time: 2.7535 data: 0.0053 max mem: 31630 Epoch: [34] [ 160/5278] eta: 3:54:34 lr: 9.025263960409856e-06 loss: 0.0367 (0.0371) loss_seg: 0.0365 (0.0369) loss_lansim: 0.0242 (0.0242) loss_contra: 0.0001 (0.0014) time: 2.7508 data: 0.0052 max mem: 31630 Epoch: [34] [ 170/5278] eta: 3:53:52 lr: 9.022685845551871e-06 loss: 0.0363 (0.0370) loss_seg: 0.0361 (0.0368) loss_lansim: 0.0240 (0.0243) loss_contra: 0.0001 (0.0013) time: 2.7483 data: 0.0052 max mem: 31630 Epoch: [34] [ 180/5278] eta: 3:53:10 lr: 9.020107648839866e-06 loss: 0.0367 (0.0375) loss_seg: 0.0365 (0.0373) loss_lansim: 0.0239 (0.0243) loss_contra: 0.0001 (0.0012) time: 2.7450 data: 0.0052 max mem: 31630 Epoch: [34] [ 190/5278] eta: 3:52:30 lr: 9.017529370245254e-06 loss: 0.0363 (0.0374) loss_seg: 0.0361 (0.0372) loss_lansim: 0.0236 (0.0243) loss_contra: 0.0001 (0.0012) time: 2.7371 data: 0.0052 max mem: 31630 Epoch: [34] [ 200/5278] eta: 3:51:49 lr: 9.014951009739419e-06 loss: 0.0363 (0.0374) loss_seg: 0.0361 (0.0372) loss_lansim: 0.0239 (0.0242) loss_contra: 0.0001 (0.0012) time: 2.7223 data: 0.0052 max mem: 31630 Epoch: [34] [ 210/5278] eta: 3:51:09 lr: 9.012372567293729e-06 loss: 0.0358 (0.0373) loss_seg: 0.0355 (0.0370) loss_lansim: 0.0236 (0.0242) loss_contra: 0.0001 (0.0011) time: 2.7096 data: 0.0052 max mem: 31630 Epoch: [34] [ 220/5278] eta: 3:50:32 lr: 9.009794042879522e-06 loss: 0.0353 (0.0374) loss_seg: 0.0351 (0.0372) loss_lansim: 0.0236 (0.0242) loss_contra: 0.0001 (0.0011) time: 2.6977 data: 0.0053 max mem: 31630 Epoch: [34] [ 230/5278] eta: 3:50:02 lr: 9.007215436468131e-06 loss: 0.0342 (0.0372) loss_seg: 0.0340 (0.0370) loss_lansim: 0.0239 (0.0242) loss_contra: 0.0001 (0.0011) time: 2.6967 data: 0.0053 max mem: 31630 Epoch: [34] [ 240/5278] eta: 3:49:29 lr: 9.004636748030863e-06 loss: 0.0353 (0.0375) loss_seg: 0.0351 (0.0373) loss_lansim: 0.0242 (0.0242) loss_contra: 0.0001 (0.0011) time: 2.6984 data: 0.0054 max mem: 31630 Epoch: [34] [ 250/5278] eta: 3:48:53 lr: 9.002057977539015e-06 loss: 0.0340 (0.0374) loss_seg: 0.0338 (0.0371) loss_lansim: 0.0242 (0.0243) loss_contra: 0.0001 (0.0011) time: 2.6985 data: 0.0054 max mem: 31630 Epoch: [34] [ 260/5278] eta: 3:48:18 lr: 8.999479124963843e-06 loss: 0.0340 (0.0373) loss_seg: 0.0338 (0.0370) loss_lansim: 0.0239 (0.0242) loss_contra: 0.0001 (0.0011) time: 2.6973 data: 0.0054 max mem: 31630 Epoch: [34] [ 270/5278] eta: 3:47:43 lr: 8.996900190276606e-06 loss: 0.0334 (0.0372) loss_seg: 0.0331 (0.0369) loss_lansim: 0.0236 (0.0242) loss_contra: 0.0001 (0.0011) time: 2.6961 data: 0.0054 max mem: 31630 Epoch: [34] [ 280/5278] eta: 3:47:08 lr: 8.994321173448531e-06 loss: 0.0325 (0.0370) loss_seg: 0.0323 (0.0368) loss_lansim: 0.0234 (0.0242) loss_contra: 0.0001 (0.0011) time: 2.6951 data: 0.0054 max mem: 31630 Epoch: [34] [ 290/5278] eta: 3:46:36 lr: 8.991742074450834e-06 loss: 0.0325 (0.0370) loss_seg: 0.0323 (0.0367) loss_lansim: 0.0243 (0.0242) loss_contra: 0.0001 (0.0012) time: 2.6956 data: 0.0054 max mem: 31630 Epoch: [34] [ 300/5278] eta: 3:46:07 lr: 8.989162893254715e-06 loss: 0.0329 (0.0371) loss_seg: 0.0326 (0.0368) loss_lansim: 0.0239 (0.0242) loss_contra: 0.0001 (0.0012) time: 2.6979 data: 0.0054 max mem: 31630 Epoch: [34] [ 310/5278] eta: 3:45:36 lr: 8.98658362983133e-06 loss: 0.0325 (0.0368) loss_seg: 0.0322 (0.0366) loss_lansim: 0.0239 (0.0242) loss_contra: 0.0001 (0.0012) time: 2.6996 data: 0.0054 max mem: 31630 Epoch: [34] [ 320/5278] eta: 3:45:03 lr: 8.984004284151846e-06 loss: 0.0329 (0.0368) loss_seg: 0.0326 (0.0366) loss_lansim: 0.0234 (0.0241) loss_contra: 0.0002 (0.0012) time: 2.6990 data: 0.0054 max mem: 31630 Epoch: [34] [ 330/5278] eta: 3:44:31 lr: 8.98142485618739e-06 loss: 0.0334 (0.0371) loss_seg: 0.0331 (0.0369) loss_lansim: 0.0232 (0.0241) loss_contra: 0.0002 (0.0011) time: 2.6958 data: 0.0054 max mem: 31630 Epoch: [34] [ 340/5278] eta: 3:43:59 lr: 8.978845345909093e-06 loss: 0.0334 (0.0371) loss_seg: 0.0331 (0.0369) loss_lansim: 0.0230 (0.0241) loss_contra: 0.0001 (0.0011) time: 2.6944 data: 0.0054 max mem: 31630 Epoch: [34] [ 350/5278] eta: 3:43:28 lr: 8.976265753288033e-06 loss: 0.0342 (0.0372) loss_seg: 0.0339 (0.0369) loss_lansim: 0.0228 (0.0240) loss_contra: 0.0001 (0.0011) time: 2.6941 data: 0.0054 max mem: 31630 Epoch: [34] [ 360/5278] eta: 3:43:01 lr: 8.973686078295296e-06 loss: 0.0344 (0.0377) loss_seg: 0.0342 (0.0374) loss_lansim: 0.0228 (0.0240) loss_contra: 0.0001 (0.0011) time: 2.6975 data: 0.0055 max mem: 31630 Epoch: [34] [ 370/5278] eta: 3:42:32 lr: 8.971106320901936e-06 loss: 0.0351 (0.0378) loss_seg: 0.0348 (0.0376) loss_lansim: 0.0228 (0.0240) loss_contra: 0.0001 (0.0011) time: 2.6995 data: 0.0055 max mem: 31630 Epoch: [34] [ 380/5278] eta: 3:42:02 lr: 8.968526481079001e-06 loss: 0.0360 (0.0379) loss_seg: 0.0357 (0.0376) loss_lansim: 0.0228 (0.0240) loss_contra: 0.0001 (0.0010) time: 2.7010 data: 0.0056 max mem: 31630 Epoch: [34] [ 390/5278] eta: 3:41:32 lr: 8.965946558797494e-06 loss: 0.0372 (0.0379) loss_seg: 0.0369 (0.0376) loss_lansim: 0.0228 (0.0240) loss_contra: 0.0001 (0.0010) time: 2.7009 data: 0.0056 max mem: 31630 Epoch: [34] [ 400/5278] eta: 3:41:03 lr: 8.963366554028425e-06 loss: 0.0379 (0.0380) loss_seg: 0.0376 (0.0378) loss_lansim: 0.0230 (0.0241) loss_contra: 0.0001 (0.0010) time: 2.6997 data: 0.0057 max mem: 31630 Epoch: [34] [ 410/5278] eta: 3:40:34 lr: 8.960786466742766e-06 loss: 0.0383 (0.0380) loss_seg: 0.0381 (0.0377) loss_lansim: 0.0230 (0.0241) loss_contra: 0.0001 (0.0010) time: 2.6994 data: 0.0058 max mem: 31630 Epoch: [34] [ 420/5278] eta: 3:40:04 lr: 8.958206296911492e-06 loss: 0.0387 (0.0380) loss_seg: 0.0384 (0.0377) loss_lansim: 0.0232 (0.0241) loss_contra: 0.0001 (0.0010) time: 2.7003 data: 0.0059 max mem: 31630 Epoch: [34] [ 430/5278] eta: 3:39:36 lr: 8.955626044505526e-06 loss: 0.0379 (0.0380) loss_seg: 0.0377 (0.0378) loss_lansim: 0.0233 (0.0241) loss_contra: 0.0001 (0.0010) time: 2.7028 data: 0.0060 max mem: 31630 Epoch: [34] [ 440/5278] eta: 3:39:08 lr: 8.953045709495797e-06 loss: 0.0379 (0.0381) loss_seg: 0.0377 (0.0378) loss_lansim: 0.0233 (0.0241) loss_contra: 0.0002 (0.0010) time: 2.7043 data: 0.0061 max mem: 31630 Epoch: [34] [ 450/5278] eta: 3:38:40 lr: 8.950465291853206e-06 loss: 0.0383 (0.0382) loss_seg: 0.0381 (0.0379) loss_lansim: 0.0237 (0.0241) loss_contra: 0.0001 (0.0010) time: 2.7065 data: 0.0062 max mem: 31630 Epoch: [34] [ 460/5278] eta: 3:38:12 lr: 8.947884791548641e-06 loss: 0.0376 (0.0381) loss_seg: 0.0373 (0.0379) loss_lansim: 0.0237 (0.0241) loss_contra: 0.0001 (0.0010) time: 2.7044 data: 0.0061 max mem: 31630 Epoch: [34] [ 470/5278] eta: 3:37:42 lr: 8.945304208552952e-06 loss: 0.0372 (0.0381) loss_seg: 0.0369 (0.0379) loss_lansim: 0.0239 (0.0242) loss_contra: 0.0001 (0.0010) time: 2.7030 data: 0.0061 max mem: 31630 Epoch: [34] [ 480/5278] eta: 3:37:12 lr: 8.942723542836991e-06 loss: 0.0368 (0.0381) loss_seg: 0.0366 (0.0378) loss_lansim: 0.0242 (0.0242) loss_contra: 0.0001 (0.0010) time: 2.7017 data: 0.0061 max mem: 31630 Epoch: [34] [ 490/5278] eta: 3:36:44 lr: 8.940142794371578e-06 loss: 0.0368 (0.0381) loss_seg: 0.0366 (0.0379) loss_lansim: 0.0239 (0.0241) loss_contra: 0.0001 (0.0010) time: 2.7024 data: 0.0060 max mem: 31630 Epoch: [34] [ 500/5278] eta: 3:36:15 lr: 8.937561963127522e-06 loss: 0.0354 (0.0381) loss_seg: 0.0351 (0.0379) loss_lansim: 0.0239 (0.0241) loss_contra: 0.0001 (0.0013) time: 2.7021 data: 0.0060 max mem: 31630 Epoch: [34] [ 510/5278] eta: 3:35:47 lr: 8.934981049075596e-06 loss: 0.0357 (0.0381) loss_seg: 0.0355 (0.0378) loss_lansim: 0.0239 (0.0241) loss_contra: 0.0001 (0.0013) time: 2.7022 data: 0.0058 max mem: 31630 Epoch: [34] [ 520/5278] eta: 3:35:17 lr: 8.932400052186572e-06 loss: 0.0354 (0.0381) loss_seg: 0.0352 (0.0378) loss_lansim: 0.0237 (0.0241) loss_contra: 0.0001 (0.0013) time: 2.7019 data: 0.0057 max mem: 31630 Epoch: [34] [ 530/5278] eta: 3:34:48 lr: 8.929818972431193e-06 loss: 0.0354 (0.0381) loss_seg: 0.0352 (0.0378) loss_lansim: 0.0238 (0.0241) loss_contra: 0.0001 (0.0012) time: 2.6996 data: 0.0057 max mem: 31630 Epoch: [34] [ 540/5278] eta: 3:34:17 lr: 8.927237809780182e-06 loss: 0.0355 (0.0381) loss_seg: 0.0353 (0.0378) loss_lansim: 0.0237 (0.0241) loss_contra: 0.0001 (0.0013) time: 2.6954 data: 0.0057 max mem: 31630 Epoch: [34] [ 550/5278] eta: 3:33:46 lr: 8.92465656420425e-06 loss: 0.0357 (0.0381) loss_seg: 0.0355 (0.0379) loss_lansim: 0.0235 (0.0240) loss_contra: 0.0001 (0.0015) time: 2.6908 data: 0.0056 max mem: 31630 Epoch: [34] [ 560/5278] eta: 3:33:16 lr: 8.922075235674074e-06 loss: 0.0365 (0.0382) loss_seg: 0.0362 (0.0379) loss_lansim: 0.0233 (0.0240) loss_contra: 0.0001 (0.0015) time: 2.6893 data: 0.0057 max mem: 31630 Epoch: [34] [ 570/5278] eta: 3:32:47 lr: 8.91949382416032e-06 loss: 0.0365 (0.0382) loss_seg: 0.0363 (0.0379) loss_lansim: 0.0231 (0.0240) loss_contra: 0.0001 (0.0015) time: 2.6892 data: 0.0058 max mem: 31630 Epoch: [34] [ 580/5278] eta: 3:32:17 lr: 8.91691232963364e-06 loss: 0.0370 (0.0382) loss_seg: 0.0367 (0.0379) loss_lansim: 0.0226 (0.0240) loss_contra: 0.0001 (0.0015) time: 2.6870 data: 0.0058 max mem: 31630 Epoch: [34] [ 590/5278] eta: 3:31:46 lr: 8.914330752064661e-06 loss: 0.0369 (0.0383) loss_seg: 0.0367 (0.0380) loss_lansim: 0.0228 (0.0240) loss_contra: 0.0002 (0.0015) time: 2.6830 data: 0.0057 max mem: 31630 Epoch: [34] [ 600/5278] eta: 3:31:16 lr: 8.911749091423978e-06 loss: 0.0370 (0.0383) loss_seg: 0.0367 (0.0381) loss_lansim: 0.0225 (0.0240) loss_contra: 0.0002 (0.0015) time: 2.6798 data: 0.0058 max mem: 31630 Epoch: [34] [ 610/5278] eta: 3:30:45 lr: 8.909167347682184e-06 loss: 0.0369 (0.0382) loss_seg: 0.0367 (0.0380) loss_lansim: 0.0224 (0.0239) loss_contra: 0.0002 (0.0015) time: 2.6763 data: 0.0058 max mem: 31630 Epoch: [34] [ 620/5278] eta: 3:30:16 lr: 8.906585520809844e-06 loss: 0.0374 (0.0382) loss_seg: 0.0372 (0.0379) loss_lansim: 0.0223 (0.0239) loss_contra: 0.0002 (0.0015) time: 2.6756 data: 0.0058 max mem: 31630 Epoch: [34] [ 630/5278] eta: 3:29:50 lr: 8.904003610777511e-06 loss: 0.0378 (0.0382) loss_seg: 0.0374 (0.0380) loss_lansim: 0.0218 (0.0239) loss_contra: 0.0001 (0.0015) time: 2.6779 data: 0.0059 max mem: 31630 Epoch: [34] [ 640/5278] eta: 3:29:22 lr: 8.901421617555698e-06 loss: 0.0374 (0.0382) loss_seg: 0.0372 (0.0380) loss_lansim: 0.0218 (0.0239) loss_contra: 0.0002 (0.0015) time: 2.6817 data: 0.0058 max mem: 31630 Epoch: [34] [ 650/5278] eta: 3:28:55 lr: 8.898839541114918e-06 loss: 0.0367 (0.0382) loss_seg: 0.0365 (0.0379) loss_lansim: 0.0223 (0.0239) loss_contra: 0.0002 (0.0015) time: 2.6851 data: 0.0058 max mem: 31630 Epoch: [34] [ 660/5278] eta: 3:28:28 lr: 8.896257381425659e-06 loss: 0.0366 (0.0382) loss_seg: 0.0364 (0.0379) loss_lansim: 0.0223 (0.0238) loss_contra: 0.0002 (0.0015) time: 2.6874 data: 0.0057 max mem: 31630 Epoch: [34] [ 670/5278] eta: 3:28:01 lr: 8.893675138458392e-06 loss: 0.0363 (0.0381) loss_seg: 0.0361 (0.0378) loss_lansim: 0.0218 (0.0238) loss_contra: 0.0001 (0.0014) time: 2.6898 data: 0.0056 max mem: 31630 Epoch: [34] [ 680/5278] eta: 3:27:34 lr: 8.891092812183552e-06 loss: 0.0367 (0.0381) loss_seg: 0.0365 (0.0379) loss_lansim: 0.0218 (0.0238) loss_contra: 0.0001 (0.0014) time: 2.6942 data: 0.0057 max mem: 31630 Epoch: [34] [ 690/5278] eta: 3:27:10 lr: 8.888510402571568e-06 loss: 0.0367 (0.0383) loss_seg: 0.0365 (0.0380) loss_lansim: 0.0217 (0.0237) loss_contra: 0.0001 (0.0014) time: 2.7024 data: 0.0057 max mem: 31630 Epoch: [34] [ 700/5278] eta: 3:26:50 lr: 8.885927909592854e-06 loss: 0.0364 (0.0382) loss_seg: 0.0361 (0.0380) loss_lansim: 0.0218 (0.0237) loss_contra: 0.0001 (0.0014) time: 2.7180 data: 0.0058 max mem: 31630 Epoch: [34] [ 710/5278] eta: 3:26:28 lr: 8.883345333217794e-06 loss: 0.0364 (0.0382) loss_seg: 0.0362 (0.0380) loss_lansim: 0.0219 (0.0237) loss_contra: 0.0001 (0.0014) time: 2.7307 data: 0.0058 max mem: 31630 Epoch: [34] [ 720/5278] eta: 3:26:04 lr: 8.880762673416747e-06 loss: 0.0363 (0.0382) loss_seg: 0.0361 (0.0379) loss_lansim: 0.0218 (0.0237) loss_contra: 0.0001 (0.0014) time: 2.7373 data: 0.0057 max mem: 31630 Epoch: [34] [ 730/5278] eta: 3:25:39 lr: 8.878179930160063e-06 loss: 0.0363 (0.0381) loss_seg: 0.0361 (0.0379) loss_lansim: 0.0221 (0.0236) loss_contra: 0.0002 (0.0014) time: 2.7418 data: 0.0056 max mem: 31630 Epoch: [34] [ 740/5278] eta: 3:25:14 lr: 8.87559710341807e-06 loss: 0.0363 (0.0381) loss_seg: 0.0361 (0.0379) loss_lansim: 0.0221 (0.0236) loss_contra: 0.0001 (0.0014) time: 2.7461 data: 0.0056 max mem: 31630 Epoch: [34] [ 750/5278] eta: 3:24:50 lr: 8.873014193161077e-06 loss: 0.0358 (0.0381) loss_seg: 0.0356 (0.0378) loss_lansim: 0.0219 (0.0236) loss_contra: 0.0001 (0.0014) time: 2.7515 data: 0.0056 max mem: 31630 Epoch: [34] [ 760/5278] eta: 3:24:26 lr: 8.870431199359359e-06 loss: 0.0350 (0.0381) loss_seg: 0.0348 (0.0378) loss_lansim: 0.0217 (0.0236) loss_contra: 0.0001 (0.0014) time: 2.7580 data: 0.0056 max mem: 31630 Epoch: [34] [ 770/5278] eta: 3:24:02 lr: 8.867848121983188e-06 loss: 0.0360 (0.0382) loss_seg: 0.0357 (0.0380) loss_lansim: 0.0219 (0.0236) loss_contra: 0.0001 (0.0014) time: 2.7629 data: 0.0055 max mem: 31630 Epoch: [34] [ 780/5278] eta: 3:23:39 lr: 8.865264961002809e-06 loss: 0.0350 (0.0382) loss_seg: 0.0348 (0.0379) loss_lansim: 0.0210 (0.0236) loss_contra: 0.0001 (0.0014) time: 2.7707 data: 0.0055 max mem: 31630 Epoch: [34] [ 790/5278] eta: 3:23:16 lr: 8.862681716388446e-06 loss: 0.0348 (0.0381) loss_seg: 0.0346 (0.0379) loss_lansim: 0.0213 (0.0236) loss_contra: 0.0001 (0.0014) time: 2.7751 data: 0.0055 max mem: 31630 Epoch: [34] [ 800/5278] eta: 3:22:51 lr: 8.860098388110311e-06 loss: 0.0350 (0.0381) loss_seg: 0.0347 (0.0379) loss_lansim: 0.0213 (0.0235) loss_contra: 0.0001 (0.0013) time: 2.7682 data: 0.0053 max mem: 31630 Epoch: [34] [ 810/5278] eta: 3:22:26 lr: 8.857514976138576e-06 loss: 0.0355 (0.0381) loss_seg: 0.0353 (0.0379) loss_lansim: 0.0213 (0.0235) loss_contra: 0.0002 (0.0014) time: 2.7652 data: 0.0053 max mem: 31630 Epoch: [34] [ 820/5278] eta: 3:22:02 lr: 8.85493148044341e-06 loss: 0.0355 (0.0381) loss_seg: 0.0353 (0.0379) loss_lansim: 0.0215 (0.0235) loss_contra: 0.0001 (0.0014) time: 2.7673 data: 0.0054 max mem: 31630 Epoch: [34] [ 830/5278] eta: 3:21:39 lr: 8.852347900994958e-06 loss: 0.0346 (0.0381) loss_seg: 0.0344 (0.0378) loss_lansim: 0.0215 (0.0235) loss_contra: 0.0001 (0.0014) time: 2.7706 data: 0.0054 max mem: 31630 Epoch: [34] [ 840/5278] eta: 3:21:13 lr: 8.84976423776335e-06 loss: 0.0355 (0.0381) loss_seg: 0.0353 (0.0379) loss_lansim: 0.0217 (0.0235) loss_contra: 0.0001 (0.0014) time: 2.7706 data: 0.0054 max mem: 31630 Epoch: [34] [ 850/5278] eta: 3:20:47 lr: 8.847180490718676e-06 loss: 0.0365 (0.0382) loss_seg: 0.0362 (0.0379) loss_lansim: 0.0215 (0.0235) loss_contra: 0.0001 (0.0013) time: 2.7697 data: 0.0053 max mem: 31630 Epoch: [34] [ 860/5278] eta: 3:20:23 lr: 8.844596659831025e-06 loss: 0.0365 (0.0381) loss_seg: 0.0362 (0.0379) loss_lansim: 0.0217 (0.0235) loss_contra: 0.0001 (0.0013) time: 2.7696 data: 0.0054 max mem: 31630 Epoch: [34] [ 870/5278] eta: 3:19:59 lr: 8.84201274507046e-06 loss: 0.0359 (0.0381) loss_seg: 0.0356 (0.0379) loss_lansim: 0.0217 (0.0235) loss_contra: 0.0002 (0.0013) time: 2.7730 data: 0.0054 max mem: 31630 Epoch: [34] [ 880/5278] eta: 3:19:34 lr: 8.83942874640703e-06 loss: 0.0359 (0.0381) loss_seg: 0.0356 (0.0378) loss_lansim: 0.0218 (0.0234) loss_contra: 0.0002 (0.0013) time: 2.7702 data: 0.0054 max mem: 31630 Epoch: [34] [ 890/5278] eta: 3:19:10 lr: 8.83684466381074e-06 loss: 0.0364 (0.0381) loss_seg: 0.0362 (0.0379) loss_lansim: 0.0220 (0.0234) loss_contra: 0.0002 (0.0013) time: 2.7691 data: 0.0054 max mem: 31630 Epoch: [34] [ 900/5278] eta: 3:18:43 lr: 8.834260497251603e-06 loss: 0.0370 (0.0382) loss_seg: 0.0368 (0.0380) loss_lansim: 0.0221 (0.0235) loss_contra: 0.0002 (0.0013) time: 2.7679 data: 0.0055 max mem: 31630 Epoch: [34] [ 910/5278] eta: 3:18:15 lr: 8.831676246699596e-06 loss: 0.0369 (0.0383) loss_seg: 0.0367 (0.0380) loss_lansim: 0.0221 (0.0234) loss_contra: 0.0001 (0.0013) time: 2.7613 data: 0.0055 max mem: 31630 Epoch: [34] [ 920/5278] eta: 3:17:49 lr: 8.829091912124685e-06 loss: 0.0372 (0.0383) loss_seg: 0.0370 (0.0381) loss_lansim: 0.0221 (0.0234) loss_contra: 0.0001 (0.0013) time: 2.7595 data: 0.0054 max mem: 31630 Epoch: [34] [ 930/5278] eta: 3:17:25 lr: 8.826507493496801e-06 loss: 0.0371 (0.0384) loss_seg: 0.0368 (0.0381) loss_lansim: 0.0221 (0.0234) loss_contra: 0.0001 (0.0013) time: 2.7585 data: 0.0055 max mem: 31630 Epoch: [34] [ 940/5278] eta: 3:16:59 lr: 8.823922990785865e-06 loss: 0.0374 (0.0384) loss_seg: 0.0372 (0.0382) loss_lansim: 0.0221 (0.0234) loss_contra: 0.0001 (0.0013) time: 2.7606 data: 0.0055 max mem: 31630 Epoch: [34] [ 950/5278] eta: 3:16:36 lr: 8.821338403961778e-06 loss: 0.0374 (0.0385) loss_seg: 0.0372 (0.0382) loss_lansim: 0.0221 (0.0234) loss_contra: 0.0001 (0.0014) time: 2.7676 data: 0.0056 max mem: 31630 Epoch: [34] [ 960/5278] eta: 3:16:12 lr: 8.818753732994422e-06 loss: 0.0377 (0.0384) loss_seg: 0.0375 (0.0382) loss_lansim: 0.0221 (0.0234) loss_contra: 0.0001 (0.0014) time: 2.7685 data: 0.0055 max mem: 31630 Epoch: [34] [ 970/5278] eta: 3:15:46 lr: 8.816168977853645e-06 loss: 0.0383 (0.0384) loss_seg: 0.0381 (0.0382) loss_lansim: 0.0220 (0.0234) loss_contra: 0.0001 (0.0014) time: 2.7644 data: 0.0055 max mem: 31630 Epoch: [34] [ 980/5278] eta: 3:15:20 lr: 8.813584138509287e-06 loss: 0.0387 (0.0385) loss_seg: 0.0385 (0.0382) loss_lansim: 0.0222 (0.0233) loss_contra: 0.0001 (0.0014) time: 2.7645 data: 0.0055 max mem: 31630 Epoch: [34] [ 990/5278] eta: 3:14:55 lr: 8.810999214931166e-06 loss: 0.0393 (0.0386) loss_seg: 0.0391 (0.0383) loss_lansim: 0.0216 (0.0233) loss_contra: 0.0001 (0.0014) time: 2.7634 data: 0.0055 max mem: 31630 Epoch: [34] [1000/5278] eta: 3:14:29 lr: 8.808414207089081e-06 loss: 0.0387 (0.0386) loss_seg: 0.0385 (0.0384) loss_lansim: 0.0212 (0.0233) loss_contra: 0.0001 (0.0014) time: 2.7657 data: 0.0055 max mem: 31630 Epoch: [34] [1010/5278] eta: 3:14:03 lr: 8.805829114952799e-06 loss: 0.0387 (0.0386) loss_seg: 0.0385 (0.0384) loss_lansim: 0.0212 (0.0233) loss_contra: 0.0001 (0.0015) time: 2.7710 data: 0.0055 max mem: 31630 Epoch: [34] [1020/5278] eta: 3:13:37 lr: 8.803243938492075e-06 loss: 0.0386 (0.0386) loss_seg: 0.0384 (0.0384) loss_lansim: 0.0212 (0.0233) loss_contra: 0.0002 (0.0015) time: 2.7714 data: 0.0055 max mem: 31630 Epoch: [34] [1030/5278] eta: 3:13:12 lr: 8.800658677676647e-06 loss: 0.0387 (0.0386) loss_seg: 0.0385 (0.0383) loss_lansim: 0.0213 (0.0233) loss_contra: 0.0001 (0.0015) time: 2.7726 data: 0.0055 max mem: 31630 Epoch: [34] [1040/5278] eta: 3:12:47 lr: 8.798073332476223e-06 loss: 0.0386 (0.0386) loss_seg: 0.0384 (0.0383) loss_lansim: 0.0214 (0.0232) loss_contra: 0.0002 (0.0015) time: 2.7749 data: 0.0055 max mem: 31630 Epoch: [34] [1050/5278] eta: 3:12:23 lr: 8.795487902860504e-06 loss: 0.0375 (0.0386) loss_seg: 0.0373 (0.0383) loss_lansim: 0.0212 (0.0232) loss_contra: 0.0002 (0.0015) time: 2.7725 data: 0.0054 max mem: 31630 Epoch: [34] [1060/5278] eta: 3:11:58 lr: 8.792902388799147e-06 loss: 0.0375 (0.0386) loss_seg: 0.0373 (0.0384) loss_lansim: 0.0212 (0.0232) loss_contra: 0.0002 (0.0015) time: 2.7734 data: 0.0054 max mem: 31630 Epoch: [34] [1070/5278] eta: 3:11:31 lr: 8.79031679026181e-06 loss: 0.0371 (0.0386) loss_seg: 0.0368 (0.0383) loss_lansim: 0.0212 (0.0232) loss_contra: 0.0002 (0.0015) time: 2.7728 data: 0.0055 max mem: 31630 Epoch: [34] [1080/5278] eta: 3:11:05 lr: 8.78773110721812e-06 loss: 0.0367 (0.0386) loss_seg: 0.0365 (0.0383) loss_lansim: 0.0212 (0.0232) loss_contra: 0.0002 (0.0015) time: 2.7717 data: 0.0054 max mem: 31630 Epoch: [34] [1090/5278] eta: 3:10:38 lr: 8.785145339637694e-06 loss: 0.0359 (0.0386) loss_seg: 0.0356 (0.0383) loss_lansim: 0.0214 (0.0232) loss_contra: 0.0001 (0.0015) time: 2.7703 data: 0.0054 max mem: 31630 Epoch: [34] [1100/5278] eta: 3:10:12 lr: 8.782559487490108e-06 loss: 0.0358 (0.0385) loss_seg: 0.0355 (0.0383) loss_lansim: 0.0214 (0.0231) loss_contra: 0.0002 (0.0015) time: 2.7699 data: 0.0054 max mem: 31630 Epoch: [34] [1110/5278] eta: 3:09:48 lr: 8.77997355074493e-06 loss: 0.0359 (0.0386) loss_seg: 0.0356 (0.0383) loss_lansim: 0.0214 (0.0231) loss_contra: 0.0001 (0.0015) time: 2.7757 data: 0.0054 max mem: 31630 Epoch: [34] [1120/5278] eta: 3:09:24 lr: 8.777387529371712e-06 loss: 0.0365 (0.0386) loss_seg: 0.0363 (0.0384) loss_lansim: 0.0214 (0.0231) loss_contra: 0.0002 (0.0015) time: 2.7823 data: 0.0054 max mem: 31630 Epoch: [34] [1130/5278] eta: 3:08:58 lr: 8.774801423339981e-06 loss: 0.0358 (0.0386) loss_seg: 0.0355 (0.0383) loss_lansim: 0.0209 (0.0231) loss_contra: 0.0002 (0.0015) time: 2.7796 data: 0.0054 max mem: 31630 Epoch: [34] [1140/5278] eta: 3:08:31 lr: 8.772215232619232e-06 loss: 0.0359 (0.0385) loss_seg: 0.0356 (0.0383) loss_lansim: 0.0207 (0.0231) loss_contra: 0.0002 (0.0015) time: 2.7757 data: 0.0054 max mem: 31630 Epoch: [34] [1150/5278] eta: 3:08:05 lr: 8.769628957178948e-06 loss: 0.0359 (0.0385) loss_seg: 0.0356 (0.0383) loss_lansim: 0.0212 (0.0231) loss_contra: 0.0002 (0.0015) time: 2.7724 data: 0.0055 max mem: 31630 Epoch: [34] [1160/5278] eta: 3:07:38 lr: 8.767042596988597e-06 loss: 0.0356 (0.0385) loss_seg: 0.0354 (0.0383) loss_lansim: 0.0212 (0.0231) loss_contra: 0.0001 (0.0015) time: 2.7681 data: 0.0055 max mem: 31630 Epoch: [34] [1170/5278] eta: 3:07:11 lr: 8.764456152017622e-06 loss: 0.0363 (0.0385) loss_seg: 0.0361 (0.0383) loss_lansim: 0.0212 (0.0231) loss_contra: 0.0001 (0.0015) time: 2.7688 data: 0.0055 max mem: 31630 Epoch: [34] [1180/5278] eta: 3:06:46 lr: 8.761869622235435e-06 loss: 0.0362 (0.0385) loss_seg: 0.0359 (0.0383) loss_lansim: 0.0212 (0.0230) loss_contra: 0.0001 (0.0015) time: 2.7719 data: 0.0056 max mem: 31630 Epoch: [34] [1190/5278] eta: 3:06:22 lr: 8.759283007611436e-06 loss: 0.0362 (0.0385) loss_seg: 0.0359 (0.0382) loss_lansim: 0.0211 (0.0230) loss_contra: 0.0002 (0.0014) time: 2.7798 data: 0.0056 max mem: 31630 Epoch: [34] [1200/5278] eta: 3:05:57 lr: 8.756696308115007e-06 loss: 0.0356 (0.0385) loss_seg: 0.0354 (0.0382) loss_lansim: 0.0214 (0.0230) loss_contra: 0.0002 (0.0015) time: 2.7833 data: 0.0057 max mem: 31630 Epoch: [34] [1210/5278] eta: 3:05:30 lr: 8.754109523715507e-06 loss: 0.0360 (0.0385) loss_seg: 0.0356 (0.0382) loss_lansim: 0.0214 (0.0230) loss_contra: 0.0002 (0.0015) time: 2.7779 data: 0.0057 max mem: 31630 Epoch: [34] [1220/5278] eta: 3:05:03 lr: 8.75152265438226e-06 loss: 0.0343 (0.0385) loss_seg: 0.0341 (0.0382) loss_lansim: 0.0212 (0.0230) loss_contra: 0.0002 (0.0015) time: 2.7715 data: 0.0057 max mem: 31630 Epoch: [34] [1230/5278] eta: 3:04:36 lr: 8.74893570008459e-06 loss: 0.0355 (0.0385) loss_seg: 0.0353 (0.0383) loss_lansim: 0.0214 (0.0230) loss_contra: 0.0002 (0.0015) time: 2.7696 data: 0.0058 max mem: 31630 Epoch: [34] [1240/5278] eta: 3:04:10 lr: 8.746348660791787e-06 loss: 0.0345 (0.0385) loss_seg: 0.0343 (0.0382) loss_lansim: 0.0215 (0.0230) loss_contra: 0.0002 (0.0015) time: 2.7708 data: 0.0059 max mem: 31630 Epoch: [34] [1250/5278] eta: 3:03:44 lr: 8.74376153647313e-06 loss: 0.0350 (0.0384) loss_seg: 0.0348 (0.0382) loss_lansim: 0.0217 (0.0230) loss_contra: 0.0002 (0.0015) time: 2.7739 data: 0.0059 max mem: 31630 Epoch: [34] [1260/5278] eta: 3:03:17 lr: 8.741174327097857e-06 loss: 0.0344 (0.0384) loss_seg: 0.0342 (0.0382) loss_lansim: 0.0218 (0.0230) loss_contra: 0.0003 (0.0015) time: 2.7745 data: 0.0059 max mem: 31630 Epoch: [34] [1270/5278] eta: 3:02:51 lr: 8.738587032635203e-06 loss: 0.0344 (0.0385) loss_seg: 0.0342 (0.0383) loss_lansim: 0.0217 (0.0230) loss_contra: 0.0003 (0.0015) time: 2.7761 data: 0.0059 max mem: 31630 Epoch: [34] [1280/5278] eta: 3:02:26 lr: 8.735999653054377e-06 loss: 0.0350 (0.0385) loss_seg: 0.0348 (0.0383) loss_lansim: 0.0216 (0.0229) loss_contra: 0.0003 (0.0015) time: 2.7785 data: 0.0060 max mem: 31630 Epoch: [34] [1290/5278] eta: 3:02:00 lr: 8.733412188324567e-06 loss: 0.0363 (0.0386) loss_seg: 0.0360 (0.0383) loss_lansim: 0.0217 (0.0229) loss_contra: 0.0003 (0.0015) time: 2.7726 data: 0.0060 max mem: 31630 Epoch: [34] [1300/5278] eta: 3:01:33 lr: 8.730824638414943e-06 loss: 0.0363 (0.0386) loss_seg: 0.0360 (0.0383) loss_lansim: 0.0215 (0.0229) loss_contra: 0.0003 (0.0015) time: 2.7687 data: 0.0061 max mem: 31630 Epoch: [34] [1310/5278] eta: 3:01:07 lr: 8.72823700329464e-06 loss: 0.0365 (0.0386) loss_seg: 0.0363 (0.0384) loss_lansim: 0.0216 (0.0229) loss_contra: 0.0002 (0.0015) time: 2.7713 data: 0.0061 max mem: 31630 Epoch: [34] [1320/5278] eta: 3:00:40 lr: 8.725649282932783e-06 loss: 0.0368 (0.0386) loss_seg: 0.0365 (0.0383) loss_lansim: 0.0218 (0.0229) loss_contra: 0.0002 (0.0015) time: 2.7721 data: 0.0060 max mem: 31630 Epoch: [34] [1330/5278] eta: 3:00:13 lr: 8.723061477298478e-06 loss: 0.0365 (0.0386) loss_seg: 0.0363 (0.0383) loss_lansim: 0.0219 (0.0229) loss_contra: 0.0002 (0.0015) time: 2.7729 data: 0.0059 max mem: 31630 Epoch: [34] [1340/5278] eta: 2:59:47 lr: 8.720473586360808e-06 loss: 0.0368 (0.0386) loss_seg: 0.0366 (0.0383) loss_lansim: 0.0218 (0.0229) loss_contra: 0.0002 (0.0015) time: 2.7720 data: 0.0058 max mem: 31630 Epoch: [34] [1350/5278] eta: 2:59:20 lr: 8.717885610088818e-06 loss: 0.0371 (0.0385) loss_seg: 0.0369 (0.0383) loss_lansim: 0.0216 (0.0229) loss_contra: 0.0002 (0.0015) time: 2.7712 data: 0.0057 max mem: 31630 Epoch: [34] [1360/5278] eta: 2:58:55 lr: 8.715297548451558e-06 loss: 0.0365 (0.0385) loss_seg: 0.0363 (0.0382) loss_lansim: 0.0213 (0.0229) loss_contra: 0.0002 (0.0015) time: 2.7758 data: 0.0057 max mem: 31630 Epoch: [34] [1370/5278] eta: 2:58:27 lr: 8.712709401418038e-06 loss: 0.0360 (0.0385) loss_seg: 0.0358 (0.0383) loss_lansim: 0.0217 (0.0229) loss_contra: 0.0001 (0.0015) time: 2.7698 data: 0.0057 max mem: 31630 Epoch: [34] [1380/5278] eta: 2:57:58 lr: 8.710121168957263e-06 loss: 0.0360 (0.0385) loss_seg: 0.0358 (0.0383) loss_lansim: 0.0218 (0.0229) loss_contra: 0.0001 (0.0015) time: 2.7581 data: 0.0055 max mem: 31630 Epoch: [34] [1390/5278] eta: 2:57:29 lr: 8.70753285103819e-06 loss: 0.0341 (0.0385) loss_seg: 0.0338 (0.0382) loss_lansim: 0.0219 (0.0229) loss_contra: 0.0001 (0.0015) time: 2.7491 data: 0.0054 max mem: 31630 Epoch: [34] [1400/5278] eta: 2:57:00 lr: 8.70494444762978e-06 loss: 0.0345 (0.0385) loss_seg: 0.0341 (0.0382) loss_lansim: 0.0220 (0.0229) loss_contra: 0.0001 (0.0015) time: 2.7416 data: 0.0054 max mem: 31630 Epoch: [34] [1410/5278] eta: 2:56:31 lr: 8.702355958700958e-06 loss: 0.0345 (0.0385) loss_seg: 0.0341 (0.0382) loss_lansim: 0.0216 (0.0228) loss_contra: 0.0001 (0.0015) time: 2.7326 data: 0.0054 max mem: 31630 Epoch: [34] [1420/5278] eta: 2:56:02 lr: 8.699767384220642e-06 loss: 0.0353 (0.0386) loss_seg: 0.0351 (0.0384) loss_lansim: 0.0216 (0.0228) loss_contra: 0.0001 (0.0015) time: 2.7242 data: 0.0054 max mem: 31630 Epoch: [34] [1430/5278] eta: 2:55:34 lr: 8.697178724157708e-06 loss: 0.0360 (0.0387) loss_seg: 0.0358 (0.0385) loss_lansim: 0.0213 (0.0228) loss_contra: 0.0001 (0.0015) time: 2.7166 data: 0.0055 max mem: 31630 Epoch: [34] [1440/5278] eta: 2:55:05 lr: 8.694589978481024e-06 loss: 0.0360 (0.0387) loss_seg: 0.0358 (0.0385) loss_lansim: 0.0214 (0.0228) loss_contra: 0.0001 (0.0014) time: 2.7112 data: 0.0055 max mem: 31630 Epoch: [34] [1450/5278] eta: 2:54:37 lr: 8.692001147159435e-06 loss: 0.0362 (0.0387) loss_seg: 0.0360 (0.0385) loss_lansim: 0.0215 (0.0228) loss_contra: 0.0001 (0.0014) time: 2.7052 data: 0.0055 max mem: 31630 Epoch: [34] [1460/5278] eta: 2:54:10 lr: 8.68941223016177e-06 loss: 0.0368 (0.0387) loss_seg: 0.0366 (0.0385) loss_lansim: 0.0215 (0.0228) loss_contra: 0.0001 (0.0014) time: 2.6974 data: 0.0055 max mem: 31630 Epoch: [34] [1470/5278] eta: 2:53:43 lr: 8.686823227456816e-06 loss: 0.0370 (0.0387) loss_seg: 0.0368 (0.0385) loss_lansim: 0.0215 (0.0228) loss_contra: 0.0001 (0.0014) time: 2.7014 data: 0.0056 max mem: 31630 Epoch: [34] [1480/5278] eta: 2:53:16 lr: 8.684234139013355e-06 loss: 0.0359 (0.0387) loss_seg: 0.0357 (0.0384) loss_lansim: 0.0214 (0.0228) loss_contra: 0.0001 (0.0014) time: 2.7100 data: 0.0056 max mem: 31630 Epoch: [34] [1490/5278] eta: 2:52:48 lr: 8.681644964800148e-06 loss: 0.0360 (0.0387) loss_seg: 0.0358 (0.0384) loss_lansim: 0.0213 (0.0228) loss_contra: 0.0001 (0.0014) time: 2.7121 data: 0.0056 max mem: 31630 Epoch: [34] [1500/5278] eta: 2:52:21 lr: 8.679055704785934e-06 loss: 0.0353 (0.0386) loss_seg: 0.0351 (0.0384) loss_lansim: 0.0212 (0.0228) loss_contra: 0.0001 (0.0014) time: 2.7187 data: 0.0055 max mem: 31630 Epoch: [34] [1510/5278] eta: 2:51:54 lr: 8.676466358939413e-06 loss: 0.0353 (0.0386) loss_seg: 0.0350 (0.0383) loss_lansim: 0.0212 (0.0228) loss_contra: 0.0001 (0.0014) time: 2.7254 data: 0.0055 max mem: 31630 Epoch: [34] [1520/5278] eta: 2:51:28 lr: 8.673876927229286e-06 loss: 0.0353 (0.0386) loss_seg: 0.0351 (0.0384) loss_lansim: 0.0209 (0.0227) loss_contra: 0.0001 (0.0014) time: 2.7346 data: 0.0054 max mem: 31630 Epoch: [34] [1530/5278] eta: 2:51:03 lr: 8.671287409624219e-06 loss: 0.0353 (0.0386) loss_seg: 0.0350 (0.0384) loss_lansim: 0.0210 (0.0227) loss_contra: 0.0001 (0.0014) time: 2.7513 data: 0.0054 max mem: 31630 Epoch: [34] [1540/5278] eta: 2:50:37 lr: 8.668697806092862e-06 loss: 0.0364 (0.0387) loss_seg: 0.0362 (0.0385) loss_lansim: 0.0210 (0.0227) loss_contra: 0.0001 (0.0014) time: 2.7611 data: 0.0054 max mem: 31630 Epoch: [34] [1550/5278] eta: 2:50:10 lr: 8.666108116603847e-06 loss: 0.0364 (0.0387) loss_seg: 0.0362 (0.0385) loss_lansim: 0.0210 (0.0227) loss_contra: 0.0001 (0.0014) time: 2.7647 data: 0.0054 max mem: 31630 Epoch: [34] [1560/5278] eta: 2:49:43 lr: 8.663518341125765e-06 loss: 0.0358 (0.0387) loss_seg: 0.0356 (0.0384) loss_lansim: 0.0211 (0.0227) loss_contra: 0.0001 (0.0014) time: 2.7680 data: 0.0055 max mem: 31630 Epoch: [34] [1570/5278] eta: 2:49:16 lr: 8.660928479627204e-06 loss: 0.0358 (0.0387) loss_seg: 0.0356 (0.0384) loss_lansim: 0.0211 (0.0227) loss_contra: 0.0001 (0.0014) time: 2.7683 data: 0.0055 max mem: 31630 Epoch: [34] [1580/5278] eta: 2:48:50 lr: 8.658338532076726e-06 loss: 0.0378 (0.0387) loss_seg: 0.0376 (0.0384) loss_lansim: 0.0212 (0.0227) loss_contra: 0.0001 (0.0014) time: 2.7689 data: 0.0055 max mem: 31630 Epoch: [34] [1590/5278] eta: 2:48:23 lr: 8.655748498442876e-06 loss: 0.0378 (0.0387) loss_seg: 0.0376 (0.0384) loss_lansim: 0.0209 (0.0227) loss_contra: 0.0001 (0.0014) time: 2.7750 data: 0.0055 max mem: 31630 Epoch: [34] [1600/5278] eta: 2:47:56 lr: 8.653158378694154e-06 loss: 0.0379 (0.0387) loss_seg: 0.0377 (0.0384) loss_lansim: 0.0210 (0.0227) loss_contra: 0.0001 (0.0014) time: 2.7767 data: 0.0055 max mem: 31630 Epoch: [34] [1610/5278] eta: 2:47:31 lr: 8.650568172799064e-06 loss: 0.0383 (0.0387) loss_seg: 0.0381 (0.0385) loss_lansim: 0.0212 (0.0227) loss_contra: 0.0001 (0.0014) time: 2.7830 data: 0.0055 max mem: 31630 Epoch: [34] [1620/5278] eta: 2:47:05 lr: 8.647977880726078e-06 loss: 0.0379 (0.0387) loss_seg: 0.0377 (0.0385) loss_lansim: 0.0216 (0.0227) loss_contra: 0.0002 (0.0014) time: 2.7863 data: 0.0055 max mem: 31630 Epoch: [34] [1630/5278] eta: 2:46:38 lr: 8.645387502443652e-06 loss: 0.0382 (0.0387) loss_seg: 0.0380 (0.0385) loss_lansim: 0.0216 (0.0227) loss_contra: 0.0002 (0.0014) time: 2.7776 data: 0.0056 max mem: 31630 Epoch: [34] [1640/5278] eta: 2:46:11 lr: 8.642797037920201e-06 loss: 0.0379 (0.0387) loss_seg: 0.0377 (0.0385) loss_lansim: 0.0216 (0.0227) loss_contra: 0.0002 (0.0014) time: 2.7749 data: 0.0056 max mem: 31630 Epoch: [34] [1650/5278] eta: 2:45:45 lr: 8.64020648712414e-06 loss: 0.0378 (0.0387) loss_seg: 0.0376 (0.0385) loss_lansim: 0.0216 (0.0227) loss_contra: 0.0002 (0.0014) time: 2.7771 data: 0.0056 max mem: 31630 Epoch: [34] [1660/5278] eta: 2:45:18 lr: 8.63761585002385e-06 loss: 0.0378 (0.0387) loss_seg: 0.0376 (0.0385) loss_lansim: 0.0216 (0.0227) loss_contra: 0.0002 (0.0014) time: 2.7771 data: 0.0056 max mem: 31630 Epoch: [34] [1670/5278] eta: 2:44:51 lr: 8.635025126587703e-06 loss: 0.0380 (0.0388) loss_seg: 0.0378 (0.0386) loss_lansim: 0.0216 (0.0227) loss_contra: 0.0002 (0.0014) time: 2.7769 data: 0.0057 max mem: 31630 Epoch: [34] [1680/5278] eta: 2:44:23 lr: 8.632434316784022e-06 loss: 0.0375 (0.0388) loss_seg: 0.0373 (0.0385) loss_lansim: 0.0216 (0.0227) loss_contra: 0.0002 (0.0014) time: 2.7739 data: 0.0056 max mem: 31630 Epoch: [34] [1690/5278] eta: 2:43:57 lr: 8.629843420581133e-06 loss: 0.0377 (0.0388) loss_seg: 0.0375 (0.0386) loss_lansim: 0.0217 (0.0227) loss_contra: 0.0002 (0.0014) time: 2.7769 data: 0.0056 max mem: 31630 Epoch: [34] [1700/5278] eta: 2:43:31 lr: 8.627252437947332e-06 loss: 0.0375 (0.0388) loss_seg: 0.0373 (0.0385) loss_lansim: 0.0219 (0.0226) loss_contra: 0.0001 (0.0014) time: 2.7823 data: 0.0057 max mem: 31630 Epoch: [34] [1710/5278] eta: 2:43:05 lr: 8.624661368850896e-06 loss: 0.0374 (0.0388) loss_seg: 0.0372 (0.0385) loss_lansim: 0.0216 (0.0226) loss_contra: 0.0001 (0.0014) time: 2.7797 data: 0.0057 max mem: 31630 Epoch: [34] [1720/5278] eta: 2:42:37 lr: 8.622070213260066e-06 loss: 0.0375 (0.0388) loss_seg: 0.0373 (0.0385) loss_lansim: 0.0217 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.7707 data: 0.0057 max mem: 31630 Epoch: [34] [1730/5278] eta: 2:42:09 lr: 8.619478971143079e-06 loss: 0.0365 (0.0388) loss_seg: 0.0363 (0.0385) loss_lansim: 0.0217 (0.0226) loss_contra: 0.0001 (0.0014) time: 2.7636 data: 0.0057 max mem: 31630 Epoch: [34] [1740/5278] eta: 2:41:40 lr: 8.616887642468136e-06 loss: 0.0365 (0.0388) loss_seg: 0.0363 (0.0385) loss_lansim: 0.0219 (0.0226) loss_contra: 0.0001 (0.0014) time: 2.7544 data: 0.0057 max mem: 31630 Epoch: [34] [1750/5278] eta: 2:41:11 lr: 8.614296227203431e-06 loss: 0.0371 (0.0389) loss_seg: 0.0369 (0.0386) loss_lansim: 0.0219 (0.0226) loss_contra: 0.0001 (0.0014) time: 2.7441 data: 0.0056 max mem: 31630 Epoch: [34] [1760/5278] eta: 2:40:43 lr: 8.611704725317113e-06 loss: 0.0364 (0.0389) loss_seg: 0.0362 (0.0386) loss_lansim: 0.0220 (0.0226) loss_contra: 0.0001 (0.0014) time: 2.7362 data: 0.0057 max mem: 31630 Epoch: [34] [1770/5278] eta: 2:40:15 lr: 8.609113136777326e-06 loss: 0.0364 (0.0389) loss_seg: 0.0362 (0.0386) loss_lansim: 0.0220 (0.0226) loss_contra: 0.0001 (0.0014) time: 2.7338 data: 0.0057 max mem: 31630 Epoch: [34] [1780/5278] eta: 2:39:49 lr: 8.606521461552189e-06 loss: 0.0380 (0.0389) loss_seg: 0.0377 (0.0387) loss_lansim: 0.0222 (0.0226) loss_contra: 0.0001 (0.0014) time: 2.7423 data: 0.0057 max mem: 31630 Epoch: [34] [1790/5278] eta: 2:39:23 lr: 8.603929699609795e-06 loss: 0.0375 (0.0389) loss_seg: 0.0373 (0.0387) loss_lansim: 0.0220 (0.0226) loss_contra: 0.0001 (0.0014) time: 2.7408 data: 0.0058 max mem: 31630 Epoch: [34] [1800/5278] eta: 2:38:56 lr: 8.601337850918224e-06 loss: 0.0380 (0.0389) loss_seg: 0.0377 (0.0387) loss_lansim: 0.0219 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.7350 data: 0.0058 max mem: 31630 Epoch: [34] [1810/5278] eta: 2:38:28 lr: 8.598745915445512e-06 loss: 0.0380 (0.0390) loss_seg: 0.0377 (0.0387) loss_lansim: 0.0217 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.7303 data: 0.0058 max mem: 31630 Epoch: [34] [1820/5278] eta: 2:38:01 lr: 8.596153893159694e-06 loss: 0.0379 (0.0389) loss_seg: 0.0377 (0.0387) loss_lansim: 0.0219 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.7340 data: 0.0058 max mem: 31630 Epoch: [34] [1830/5278] eta: 2:37:34 lr: 8.593561784028773e-06 loss: 0.0382 (0.0389) loss_seg: 0.0379 (0.0387) loss_lansim: 0.0216 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.7404 data: 0.0058 max mem: 31630 Epoch: [34] [1840/5278] eta: 2:37:07 lr: 8.590969588020741e-06 loss: 0.0383 (0.0389) loss_seg: 0.0380 (0.0387) loss_lansim: 0.0216 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.7502 data: 0.0059 max mem: 31630 Epoch: [34] [1850/5278] eta: 2:36:41 lr: 8.58837730510354e-06 loss: 0.0383 (0.0390) loss_seg: 0.0380 (0.0388) loss_lansim: 0.0213 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.7617 data: 0.0059 max mem: 31630 Epoch: [34] [1860/5278] eta: 2:36:14 lr: 8.585784935245116e-06 loss: 0.0379 (0.0390) loss_seg: 0.0377 (0.0388) loss_lansim: 0.0211 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.7714 data: 0.0059 max mem: 31630 Epoch: [34] [1870/5278] eta: 2:35:47 lr: 8.583192478413386e-06 loss: 0.0383 (0.0390) loss_seg: 0.0380 (0.0388) loss_lansim: 0.0209 (0.0226) loss_contra: 0.0002 (0.0013) time: 2.7735 data: 0.0059 max mem: 31630 Epoch: [34] [1880/5278] eta: 2:35:19 lr: 8.580599934576246e-06 loss: 0.0379 (0.0391) loss_seg: 0.0377 (0.0388) loss_lansim: 0.0209 (0.0226) loss_contra: 0.0002 (0.0014) time: 2.7611 data: 0.0058 max mem: 31630 Epoch: [34] [1890/5278] eta: 2:34:51 lr: 8.578007303701551e-06 loss: 0.0389 (0.0391) loss_seg: 0.0387 (0.0389) loss_lansim: 0.0209 (0.0226) loss_contra: 0.0002 (0.0014) time: 2.7542 data: 0.0057 max mem: 31630 Epoch: [34] [1900/5278] eta: 2:34:23 lr: 8.575414585757158e-06 loss: 0.0372 (0.0391) loss_seg: 0.0370 (0.0388) loss_lansim: 0.0209 (0.0226) loss_contra: 0.0002 (0.0014) time: 2.7502 data: 0.0058 max mem: 31630 Epoch: [34] [1910/5278] eta: 2:33:56 lr: 8.572821780710889e-06 loss: 0.0371 (0.0391) loss_seg: 0.0369 (0.0388) loss_lansim: 0.0210 (0.0226) loss_contra: 0.0002 (0.0014) time: 2.7493 data: 0.0058 max mem: 31630 Epoch: [34] [1920/5278] eta: 2:33:28 lr: 8.57022888853055e-06 loss: 0.0371 (0.0390) loss_seg: 0.0369 (0.0388) loss_lansim: 0.0209 (0.0225) loss_contra: 0.0002 (0.0014) time: 2.7466 data: 0.0058 max mem: 31630 Epoch: [34] [1930/5278] eta: 2:33:00 lr: 8.567635909183908e-06 loss: 0.0370 (0.0390) loss_seg: 0.0368 (0.0388) loss_lansim: 0.0209 (0.0225) loss_contra: 0.0002 (0.0014) time: 2.7421 data: 0.0057 max mem: 31630 Epoch: [34] [1940/5278] eta: 2:32:33 lr: 8.565042842638728e-06 loss: 0.0358 (0.0390) loss_seg: 0.0356 (0.0388) loss_lansim: 0.0209 (0.0225) loss_contra: 0.0002 (0.0014) time: 2.7383 data: 0.0056 max mem: 31630 Epoch: [34] [1950/5278] eta: 2:32:06 lr: 8.562449688862738e-06 loss: 0.0355 (0.0390) loss_seg: 0.0353 (0.0388) loss_lansim: 0.0212 (0.0225) loss_contra: 0.0002 (0.0014) time: 2.7394 data: 0.0057 max mem: 31630 Epoch: [34] [1960/5278] eta: 2:31:39 lr: 8.559856447823658e-06 loss: 0.0370 (0.0390) loss_seg: 0.0364 (0.0388) loss_lansim: 0.0213 (0.0225) loss_contra: 0.0002 (0.0014) time: 2.7386 data: 0.0056 max mem: 31630 Epoch: [34] [1970/5278] eta: 2:31:12 lr: 8.557263119489163e-06 loss: 0.0366 (0.0391) loss_seg: 0.0364 (0.0388) loss_lansim: 0.0213 (0.0225) loss_contra: 0.0002 (0.0014) time: 2.7392 data: 0.0056 max mem: 31630 Epoch: [34] [1980/5278] eta: 2:30:45 lr: 8.554669703826921e-06 loss: 0.0363 (0.0391) loss_seg: 0.0361 (0.0388) loss_lansim: 0.0213 (0.0225) loss_contra: 0.0002 (0.0015) time: 2.7453 data: 0.0056 max mem: 31630 Epoch: [34] [1990/5278] eta: 2:30:18 lr: 8.552076200804578e-06 loss: 0.0355 (0.0391) loss_seg: 0.0353 (0.0388) loss_lansim: 0.0212 (0.0225) loss_contra: 0.0002 (0.0014) time: 2.7496 data: 0.0056 max mem: 31630 Epoch: [34] [2000/5278] eta: 2:29:50 lr: 8.549482610389747e-06 loss: 0.0355 (0.0390) loss_seg: 0.0353 (0.0388) loss_lansim: 0.0212 (0.0225) loss_contra: 0.0001 (0.0014) time: 2.7524 data: 0.0055 max mem: 31630 Epoch: [34] [2010/5278] eta: 2:29:23 lr: 8.546888932550036e-06 loss: 0.0361 (0.0390) loss_seg: 0.0359 (0.0388) loss_lansim: 0.0212 (0.0225) loss_contra: 0.0001 (0.0014) time: 2.7536 data: 0.0055 max mem: 31630 Epoch: [34] [2020/5278] eta: 2:28:56 lr: 8.544295167253002e-06 loss: 0.0374 (0.0391) loss_seg: 0.0372 (0.0388) loss_lansim: 0.0213 (0.0225) loss_contra: 0.0001 (0.0014) time: 2.7571 data: 0.0055 max mem: 31630 Epoch: [34] [2030/5278] eta: 2:28:29 lr: 8.5417013144662e-06 loss: 0.0374 (0.0391) loss_seg: 0.0372 (0.0388) loss_lansim: 0.0214 (0.0225) loss_contra: 0.0001 (0.0014) time: 2.7656 data: 0.0056 max mem: 31630 Epoch: [34] [2040/5278] eta: 2:28:03 lr: 8.539107374157162e-06 loss: 0.0385 (0.0390) loss_seg: 0.0383 (0.0388) loss_lansim: 0.0215 (0.0225) loss_contra: 0.0002 (0.0014) time: 2.7712 data: 0.0056 max mem: 31630 Epoch: [34] [2050/5278] eta: 2:27:36 lr: 8.536513346293394e-06 loss: 0.0372 (0.0390) loss_seg: 0.0370 (0.0388) loss_lansim: 0.0214 (0.0225) loss_contra: 0.0001 (0.0014) time: 2.7682 data: 0.0055 max mem: 31630 Epoch: [34] [2060/5278] eta: 2:27:09 lr: 8.533919230842365e-06 loss: 0.0368 (0.0390) loss_seg: 0.0366 (0.0388) loss_lansim: 0.0213 (0.0225) loss_contra: 0.0001 (0.0014) time: 2.7677 data: 0.0056 max mem: 31630 Epoch: [34] [2070/5278] eta: 2:26:41 lr: 8.53132502777154e-06 loss: 0.0361 (0.0390) loss_seg: 0.0359 (0.0388) loss_lansim: 0.0213 (0.0225) loss_contra: 0.0001 (0.0014) time: 2.7672 data: 0.0056 max mem: 31630 Epoch: [34] [2080/5278] eta: 2:26:14 lr: 8.528730737048352e-06 loss: 0.0361 (0.0390) loss_seg: 0.0359 (0.0388) loss_lansim: 0.0214 (0.0225) loss_contra: 0.0001 (0.0014) time: 2.7652 data: 0.0056 max mem: 31630 Epoch: [34] [2090/5278] eta: 2:25:46 lr: 8.526136358640223e-06 loss: 0.0361 (0.0390) loss_seg: 0.0359 (0.0388) loss_lansim: 0.0214 (0.0224) loss_contra: 0.0001 (0.0014) time: 2.7589 data: 0.0056 max mem: 31630 Epoch: [34] [2100/5278] eta: 2:25:18 lr: 8.523541892514525e-06 loss: 0.0363 (0.0390) loss_seg: 0.0361 (0.0388) loss_lansim: 0.0215 (0.0224) loss_contra: 0.0001 (0.0014) time: 2.7515 data: 0.0056 max mem: 31630 Epoch: [34] [2110/5278] eta: 2:24:50 lr: 8.52094733863863e-06 loss: 0.0357 (0.0390) loss_seg: 0.0356 (0.0388) loss_lansim: 0.0214 (0.0224) loss_contra: 0.0001 (0.0014) time: 2.7492 data: 0.0056 max mem: 31630 Epoch: [34] [2120/5278] eta: 2:24:22 lr: 8.518352696979882e-06 loss: 0.0356 (0.0390) loss_seg: 0.0354 (0.0388) loss_lansim: 0.0213 (0.0224) loss_contra: 0.0001 (0.0014) time: 2.7423 data: 0.0057 max mem: 31630 Epoch: [34] [2130/5278] eta: 2:23:54 lr: 8.515757967505605e-06 loss: 0.0357 (0.0390) loss_seg: 0.0356 (0.0388) loss_lansim: 0.0214 (0.0224) loss_contra: 0.0001 (0.0014) time: 2.7321 data: 0.0056 max mem: 31630 Epoch: [34] [2140/5278] eta: 2:23:25 lr: 8.51316315018308e-06 loss: 0.0357 (0.0390) loss_seg: 0.0356 (0.0387) loss_lansim: 0.0213 (0.0224) loss_contra: 0.0001 (0.0014) time: 2.7209 data: 0.0056 max mem: 31630 Epoch: [34] [2150/5278] eta: 2:22:57 lr: 8.51056824497959e-06 loss: 0.0359 (0.0390) loss_seg: 0.0357 (0.0388) loss_lansim: 0.0213 (0.0224) loss_contra: 0.0001 (0.0014) time: 2.7116 data: 0.0055 max mem: 31630 Epoch: [34] [2160/5278] eta: 2:22:29 lr: 8.50797325186238e-06 loss: 0.0359 (0.0390) loss_seg: 0.0357 (0.0388) loss_lansim: 0.0213 (0.0224) loss_contra: 0.0001 (0.0014) time: 2.7031 data: 0.0055 max mem: 31630 Epoch: [34] [2170/5278] eta: 2:22:00 lr: 8.505378170798686e-06 loss: 0.0359 (0.0390) loss_seg: 0.0357 (0.0387) loss_lansim: 0.0214 (0.0224) loss_contra: 0.0001 (0.0014) time: 2.6949 data: 0.0054 max mem: 31630 Epoch: [34] [2180/5278] eta: 2:21:32 lr: 8.502783001755695e-06 loss: 0.0360 (0.0390) loss_seg: 0.0357 (0.0387) loss_lansim: 0.0212 (0.0224) loss_contra: 0.0001 (0.0014) time: 2.6867 data: 0.0054 max mem: 31630 Epoch: [34] [2190/5278] eta: 2:21:04 lr: 8.500187744700596e-06 loss: 0.0359 (0.0389) loss_seg: 0.0357 (0.0387) loss_lansim: 0.0208 (0.0224) loss_contra: 0.0001 (0.0014) time: 2.6879 data: 0.0055 max mem: 31630 Epoch: [34] [2200/5278] eta: 2:20:36 lr: 8.49759239960054e-06 loss: 0.0359 (0.0389) loss_seg: 0.0357 (0.0387) loss_lansim: 0.0212 (0.0224) loss_contra: 0.0001 (0.0014) time: 2.6921 data: 0.0055 max mem: 31630 Epoch: [34] [2210/5278] eta: 2:20:08 lr: 8.49499696642267e-06 loss: 0.0377 (0.0390) loss_seg: 0.0375 (0.0388) loss_lansim: 0.0213 (0.0224) loss_contra: 0.0001 (0.0014) time: 2.6885 data: 0.0054 max mem: 31630 Epoch: [34] [2220/5278] eta: 2:19:40 lr: 8.492401445134079e-06 loss: 0.0377 (0.0390) loss_seg: 0.0375 (0.0388) loss_lansim: 0.0213 (0.0224) loss_contra: 0.0001 (0.0014) time: 2.6860 data: 0.0054 max mem: 31630 Epoch: [34] [2230/5278] eta: 2:19:11 lr: 8.48980583570186e-06 loss: 0.0379 (0.0390) loss_seg: 0.0377 (0.0388) loss_lansim: 0.0208 (0.0224) loss_contra: 0.0001 (0.0014) time: 2.6843 data: 0.0054 max mem: 31630 Epoch: [34] [2240/5278] eta: 2:18:43 lr: 8.487210138093074e-06 loss: 0.0387 (0.0390) loss_seg: 0.0385 (0.0388) loss_lansim: 0.0211 (0.0224) loss_contra: 0.0001 (0.0014) time: 2.6830 data: 0.0054 max mem: 31630 Epoch: [34] [2250/5278] eta: 2:18:15 lr: 8.484614352274762e-06 loss: 0.0388 (0.0390) loss_seg: 0.0386 (0.0388) loss_lansim: 0.0218 (0.0224) loss_contra: 0.0001 (0.0014) time: 2.6830 data: 0.0055 max mem: 31630 Epoch: [34] [2260/5278] eta: 2:17:47 lr: 8.482018478213943e-06 loss: 0.0387 (0.0390) loss_seg: 0.0385 (0.0388) loss_lansim: 0.0217 (0.0224) loss_contra: 0.0001 (0.0014) time: 2.6832 data: 0.0055 max mem: 31630 Epoch: [34] [2270/5278] eta: 2:17:19 lr: 8.479422515877597e-06 loss: 0.0384 (0.0390) loss_seg: 0.0382 (0.0388) loss_lansim: 0.0211 (0.0224) loss_contra: 0.0001 (0.0014) time: 2.6853 data: 0.0055 max mem: 31630 Epoch: [34] [2280/5278] eta: 2:16:51 lr: 8.476826465232697e-06 loss: 0.0379 (0.0390) loss_seg: 0.0377 (0.0387) loss_lansim: 0.0214 (0.0224) loss_contra: 0.0001 (0.0014) time: 2.6904 data: 0.0055 max mem: 31630 Epoch: [34] [2290/5278] eta: 2:16:23 lr: 8.474230326246188e-06 loss: 0.0367 (0.0390) loss_seg: 0.0365 (0.0387) loss_lansim: 0.0217 (0.0224) loss_contra: 0.0001 (0.0014) time: 2.6900 data: 0.0055 max mem: 31630 Epoch: [34] [2300/5278] eta: 2:15:55 lr: 8.471634098884996e-06 loss: 0.0364 (0.0390) loss_seg: 0.0362 (0.0387) loss_lansim: 0.0214 (0.0224) loss_contra: 0.0001 (0.0014) time: 2.6865 data: 0.0056 max mem: 31630 Epoch: [34] [2310/5278] eta: 2:15:27 lr: 8.469037783116008e-06 loss: 0.0359 (0.0390) loss_seg: 0.0357 (0.0387) loss_lansim: 0.0216 (0.0224) loss_contra: 0.0001 (0.0014) time: 2.6864 data: 0.0056 max mem: 31630 Epoch: [34] [2320/5278] eta: 2:14:59 lr: 8.4664413789061e-06 loss: 0.0349 (0.0389) loss_seg: 0.0347 (0.0387) loss_lansim: 0.0218 (0.0224) loss_contra: 0.0001 (0.0014) time: 2.6878 data: 0.0056 max mem: 31630 Epoch: [34] [2330/5278] eta: 2:14:31 lr: 8.463844886222125e-06 loss: 0.0345 (0.0389) loss_seg: 0.0343 (0.0387) loss_lansim: 0.0219 (0.0224) loss_contra: 0.0001 (0.0014) time: 2.6887 data: 0.0055 max mem: 31630 Epoch: [34] [2340/5278] eta: 2:14:03 lr: 8.46124830503091e-06 loss: 0.0338 (0.0389) loss_seg: 0.0336 (0.0387) loss_lansim: 0.0219 (0.0224) loss_contra: 0.0001 (0.0014) time: 2.6891 data: 0.0056 max mem: 31630 Epoch: [34] [2350/5278] eta: 2:13:35 lr: 8.45865163529925e-06 loss: 0.0338 (0.0389) loss_seg: 0.0335 (0.0387) loss_lansim: 0.0220 (0.0224) loss_contra: 0.0001 (0.0014) time: 2.6892 data: 0.0056 max mem: 31630 Epoch: [34] [2360/5278] eta: 2:13:07 lr: 8.456054876993928e-06 loss: 0.0338 (0.0389) loss_seg: 0.0336 (0.0387) loss_lansim: 0.0220 (0.0224) loss_contra: 0.0001 (0.0014) time: 2.6921 data: 0.0055 max mem: 31630 Epoch: [34] [2370/5278] eta: 2:12:39 lr: 8.453458030081697e-06 loss: 0.0345 (0.0389) loss_seg: 0.0343 (0.0387) loss_lansim: 0.0221 (0.0224) loss_contra: 0.0001 (0.0014) time: 2.6943 data: 0.0055 max mem: 31630 Epoch: [34] [2380/5278] eta: 2:12:11 lr: 8.450861094529294e-06 loss: 0.0358 (0.0389) loss_seg: 0.0355 (0.0387) loss_lansim: 0.0221 (0.0224) loss_contra: 0.0001 (0.0014) time: 2.6905 data: 0.0055 max mem: 31630 Epoch: [34] [2390/5278] eta: 2:11:43 lr: 8.448264070303413e-06 loss: 0.0359 (0.0390) loss_seg: 0.0356 (0.0387) loss_lansim: 0.0223 (0.0224) loss_contra: 0.0001 (0.0014) time: 2.6896 data: 0.0055 max mem: 31630 Epoch: [34] [2400/5278] eta: 2:11:15 lr: 8.445666957370745e-06 loss: 0.0359 (0.0389) loss_seg: 0.0356 (0.0387) loss_lansim: 0.0221 (0.0224) loss_contra: 0.0001 (0.0014) time: 2.6903 data: 0.0055 max mem: 31630 Epoch: [34] [2410/5278] eta: 2:10:47 lr: 8.44306975569795e-06 loss: 0.0359 (0.0390) loss_seg: 0.0356 (0.0387) loss_lansim: 0.0220 (0.0224) loss_contra: 0.0001 (0.0014) time: 2.6890 data: 0.0055 max mem: 31630 Epoch: [34] [2420/5278] eta: 2:10:19 lr: 8.440472465251664e-06 loss: 0.0359 (0.0389) loss_seg: 0.0356 (0.0387) loss_lansim: 0.0218 (0.0224) loss_contra: 0.0001 (0.0014) time: 2.6883 data: 0.0056 max mem: 31630 Epoch: [34] [2430/5278] eta: 2:09:51 lr: 8.43787508599849e-06 loss: 0.0360 (0.0389) loss_seg: 0.0358 (0.0387) loss_lansim: 0.0217 (0.0224) loss_contra: 0.0001 (0.0014) time: 2.6874 data: 0.0056 max mem: 31630 Epoch: [34] [2440/5278] eta: 2:09:23 lr: 8.435277617905022e-06 loss: 0.0360 (0.0389) loss_seg: 0.0358 (0.0387) loss_lansim: 0.0217 (0.0224) loss_contra: 0.0001 (0.0014) time: 2.6894 data: 0.0056 max mem: 31630 Epoch: [34] [2450/5278] eta: 2:08:56 lr: 8.432680060937819e-06 loss: 0.0365 (0.0389) loss_seg: 0.0363 (0.0387) loss_lansim: 0.0217 (0.0224) loss_contra: 0.0001 (0.0014) time: 2.6939 data: 0.0057 max mem: 31630 Epoch: [34] [2460/5278] eta: 2:08:28 lr: 8.43008241506343e-06 loss: 0.0360 (0.0389) loss_seg: 0.0358 (0.0387) loss_lansim: 0.0217 (0.0224) loss_contra: 0.0001 (0.0014) time: 2.6927 data: 0.0057 max mem: 31630 Epoch: [34] [2470/5278] eta: 2:08:00 lr: 8.427484680248355e-06 loss: 0.0355 (0.0389) loss_seg: 0.0353 (0.0387) loss_lansim: 0.0217 (0.0224) loss_contra: 0.0002 (0.0014) time: 2.6904 data: 0.0057 max mem: 31630 Epoch: [34] [2480/5278] eta: 2:07:32 lr: 8.424886856459094e-06 loss: 0.0354 (0.0389) loss_seg: 0.0352 (0.0387) loss_lansim: 0.0218 (0.0224) loss_contra: 0.0002 (0.0014) time: 2.6905 data: 0.0057 max mem: 31630 Epoch: [34] [2490/5278] eta: 2:07:05 lr: 8.422288943662111e-06 loss: 0.0349 (0.0389) loss_seg: 0.0346 (0.0386) loss_lansim: 0.0219 (0.0224) loss_contra: 0.0001 (0.0014) time: 2.6972 data: 0.0057 max mem: 31630 Epoch: [34] [2500/5278] eta: 2:06:38 lr: 8.41969094182385e-06 loss: 0.0349 (0.0389) loss_seg: 0.0347 (0.0387) loss_lansim: 0.0224 (0.0224) loss_contra: 0.0001 (0.0014) time: 2.7065 data: 0.0058 max mem: 31630 Epoch: [34] [2510/5278] eta: 2:06:11 lr: 8.417092850910736e-06 loss: 0.0348 (0.0389) loss_seg: 0.0345 (0.0387) loss_lansim: 0.0226 (0.0224) loss_contra: 0.0001 (0.0014) time: 2.7153 data: 0.0058 max mem: 31630 Epoch: [34] [2520/5278] eta: 2:05:44 lr: 8.414494670889152e-06 loss: 0.0354 (0.0389) loss_seg: 0.0352 (0.0387) loss_lansim: 0.0227 (0.0224) loss_contra: 0.0001 (0.0014) time: 2.7225 data: 0.0057 max mem: 31630 Epoch: [34] [2530/5278] eta: 2:05:18 lr: 8.411896401725471e-06 loss: 0.0358 (0.0389) loss_seg: 0.0355 (0.0387) loss_lansim: 0.0227 (0.0224) loss_contra: 0.0001 (0.0013) time: 2.7369 data: 0.0058 max mem: 31630 Epoch: [34] [2540/5278] eta: 2:04:51 lr: 8.409298043386041e-06 loss: 0.0354 (0.0389) loss_seg: 0.0352 (0.0387) loss_lansim: 0.0228 (0.0224) loss_contra: 0.0001 (0.0013) time: 2.7472 data: 0.0058 max mem: 31630 Epoch: [34] [2550/5278] eta: 2:04:24 lr: 8.40669959583719e-06 loss: 0.0362 (0.0389) loss_seg: 0.0360 (0.0387) loss_lansim: 0.0229 (0.0224) loss_contra: 0.0001 (0.0013) time: 2.7515 data: 0.0057 max mem: 31630 Epoch: [34] [2560/5278] eta: 2:03:57 lr: 8.404101059045202e-06 loss: 0.0366 (0.0389) loss_seg: 0.0364 (0.0387) loss_lansim: 0.0231 (0.0224) loss_contra: 0.0001 (0.0013) time: 2.7614 data: 0.0057 max mem: 31630 Epoch: [34] [2570/5278] eta: 2:03:30 lr: 8.401502432976357e-06 loss: 0.0364 (0.0389) loss_seg: 0.0362 (0.0387) loss_lansim: 0.0231 (0.0224) loss_contra: 0.0001 (0.0013) time: 2.7693 data: 0.0057 max mem: 31630 Epoch: [34] [2580/5278] eta: 2:03:03 lr: 8.398903717596904e-06 loss: 0.0358 (0.0389) loss_seg: 0.0355 (0.0387) loss_lansim: 0.0231 (0.0224) loss_contra: 0.0001 (0.0013) time: 2.7754 data: 0.0057 max mem: 31630 Epoch: [34] [2590/5278] eta: 2:02:36 lr: 8.396304912873073e-06 loss: 0.0366 (0.0389) loss_seg: 0.0364 (0.0387) loss_lansim: 0.0231 (0.0224) loss_contra: 0.0001 (0.0013) time: 2.7748 data: 0.0057 max mem: 31630 Epoch: [34] [2600/5278] eta: 2:02:08 lr: 8.39370601877105e-06 loss: 0.0373 (0.0389) loss_seg: 0.0371 (0.0387) loss_lansim: 0.0229 (0.0224) loss_contra: 0.0001 (0.0013) time: 2.7702 data: 0.0056 max mem: 31630 Epoch: [34] [2610/5278] eta: 2:01:41 lr: 8.391107035257019e-06 loss: 0.0360 (0.0389) loss_seg: 0.0357 (0.0387) loss_lansim: 0.0231 (0.0224) loss_contra: 0.0001 (0.0013) time: 2.7632 data: 0.0056 max mem: 31630 Epoch: [34] [2620/5278] eta: 2:01:13 lr: 8.38850796229713e-06 loss: 0.0372 (0.0389) loss_seg: 0.0370 (0.0387) loss_lansim: 0.0229 (0.0224) loss_contra: 0.0001 (0.0013) time: 2.7638 data: 0.0056 max mem: 31630 Epoch: [34] [2630/5278] eta: 2:00:46 lr: 8.385908799857517e-06 loss: 0.0355 (0.0389) loss_seg: 0.0353 (0.0387) loss_lansim: 0.0230 (0.0224) loss_contra: 0.0001 (0.0013) time: 2.7603 data: 0.0056 max mem: 31630 Epoch: [34] [2640/5278] eta: 2:00:19 lr: 8.383309547904268e-06 loss: 0.0357 (0.0389) loss_seg: 0.0355 (0.0387) loss_lansim: 0.0229 (0.0224) loss_contra: 0.0001 (0.0013) time: 2.7577 data: 0.0056 max mem: 31630 Epoch: [34] [2650/5278] eta: 1:59:52 lr: 8.380710206403467e-06 loss: 0.0354 (0.0389) loss_seg: 0.0352 (0.0387) loss_lansim: 0.0231 (0.0224) loss_contra: 0.0001 (0.0013) time: 2.7557 data: 0.0056 max mem: 31630 Epoch: [34] [2660/5278] eta: 1:59:25 lr: 8.378110775321169e-06 loss: 0.0359 (0.0389) loss_seg: 0.0356 (0.0387) loss_lansim: 0.0231 (0.0224) loss_contra: 0.0001 (0.0013) time: 2.7504 data: 0.0056 max mem: 31630 Epoch: [34] [2670/5278] eta: 1:58:58 lr: 8.375511254623404e-06 loss: 0.0367 (0.0389) loss_seg: 0.0364 (0.0387) loss_lansim: 0.0232 (0.0224) loss_contra: 0.0001 (0.0013) time: 2.7471 data: 0.0056 max mem: 31630 Epoch: [34] [2680/5278] eta: 1:58:30 lr: 8.372911644276168e-06 loss: 0.0367 (0.0390) loss_seg: 0.0364 (0.0388) loss_lansim: 0.0230 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.7459 data: 0.0056 max mem: 31630 Epoch: [34] [2690/5278] eta: 1:58:03 lr: 8.370311944245445e-06 loss: 0.0364 (0.0390) loss_seg: 0.0362 (0.0388) loss_lansim: 0.0232 (0.0225) loss_contra: 0.0002 (0.0013) time: 2.7486 data: 0.0055 max mem: 31630 Epoch: [34] [2700/5278] eta: 1:57:37 lr: 8.367712154497189e-06 loss: 0.0354 (0.0390) loss_seg: 0.0351 (0.0387) loss_lansim: 0.0232 (0.0225) loss_contra: 0.0002 (0.0013) time: 2.7579 data: 0.0055 max mem: 31630 Epoch: [34] [2710/5278] eta: 1:57:10 lr: 8.365112274997337e-06 loss: 0.0355 (0.0390) loss_seg: 0.0352 (0.0387) loss_lansim: 0.0232 (0.0225) loss_contra: 0.0002 (0.0013) time: 2.7671 data: 0.0055 max mem: 31630 Epoch: [34] [2720/5278] eta: 1:56:42 lr: 8.362512305711781e-06 loss: 0.0355 (0.0390) loss_seg: 0.0352 (0.0387) loss_lansim: 0.0233 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.7660 data: 0.0055 max mem: 31630 Epoch: [34] [2730/5278] eta: 1:56:15 lr: 8.359912246606408e-06 loss: 0.0367 (0.0390) loss_seg: 0.0364 (0.0388) loss_lansim: 0.0235 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.7624 data: 0.0054 max mem: 31630 Epoch: [34] [2740/5278] eta: 1:55:48 lr: 8.357312097647073e-06 loss: 0.0364 (0.0390) loss_seg: 0.0362 (0.0387) loss_lansim: 0.0235 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.7600 data: 0.0056 max mem: 31630 Epoch: [34] [2750/5278] eta: 1:55:20 lr: 8.354711858799607e-06 loss: 0.0353 (0.0390) loss_seg: 0.0350 (0.0387) loss_lansim: 0.0233 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.7544 data: 0.0058 max mem: 31630 Epoch: [34] [2760/5278] eta: 1:54:52 lr: 8.352111530029822e-06 loss: 0.0353 (0.0390) loss_seg: 0.0350 (0.0387) loss_lansim: 0.0231 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.7487 data: 0.0059 max mem: 31630 Epoch: [34] [2770/5278] eta: 1:54:25 lr: 8.349511111303489e-06 loss: 0.0353 (0.0390) loss_seg: 0.0350 (0.0388) loss_lansim: 0.0232 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.7465 data: 0.0059 max mem: 31630 Epoch: [34] [2780/5278] eta: 1:53:57 lr: 8.34691060258637e-06 loss: 0.0354 (0.0390) loss_seg: 0.0351 (0.0388) loss_lansim: 0.0235 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.7433 data: 0.0059 max mem: 31630 Epoch: [34] [2790/5278] eta: 1:53:29 lr: 8.344310003844191e-06 loss: 0.0355 (0.0390) loss_seg: 0.0351 (0.0388) loss_lansim: 0.0231 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.7370 data: 0.0060 max mem: 31630 Epoch: [34] [2800/5278] eta: 1:53:02 lr: 8.341709315042671e-06 loss: 0.0359 (0.0390) loss_seg: 0.0357 (0.0388) loss_lansim: 0.0228 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.7267 data: 0.0061 max mem: 31630 Epoch: [34] [2810/5278] eta: 1:52:35 lr: 8.33910853614748e-06 loss: 0.0371 (0.0390) loss_seg: 0.0369 (0.0388) loss_lansim: 0.0228 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.7210 data: 0.0062 max mem: 31630 Epoch: [34] [2820/5278] eta: 1:52:07 lr: 8.336507667124274e-06 loss: 0.0372 (0.0390) loss_seg: 0.0370 (0.0388) loss_lansim: 0.0226 (0.0225) loss_contra: 0.0002 (0.0013) time: 2.7159 data: 0.0063 max mem: 31630 Epoch: [34] [2830/5278] eta: 1:51:39 lr: 8.33390670793869e-06 loss: 0.0381 (0.0390) loss_seg: 0.0378 (0.0388) loss_lansim: 0.0224 (0.0225) loss_contra: 0.0002 (0.0013) time: 2.7087 data: 0.0062 max mem: 31630 Epoch: [34] [2840/5278] eta: 1:51:11 lr: 8.331305658556339e-06 loss: 0.0387 (0.0391) loss_seg: 0.0385 (0.0388) loss_lansim: 0.0225 (0.0225) loss_contra: 0.0002 (0.0013) time: 2.7019 data: 0.0061 max mem: 31630 Epoch: [34] [2850/5278] eta: 1:50:43 lr: 8.328704518942792e-06 loss: 0.0392 (0.0391) loss_seg: 0.0389 (0.0388) loss_lansim: 0.0224 (0.0225) loss_contra: 0.0002 (0.0013) time: 2.7007 data: 0.0059 max mem: 31630 Epoch: [34] [2860/5278] eta: 1:50:15 lr: 8.326103289063608e-06 loss: 0.0398 (0.0391) loss_seg: 0.0396 (0.0388) loss_lansim: 0.0225 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.6994 data: 0.0057 max mem: 31630 Epoch: [34] [2870/5278] eta: 1:49:47 lr: 8.323501968884322e-06 loss: 0.0389 (0.0391) loss_seg: 0.0386 (0.0388) loss_lansim: 0.0227 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.6949 data: 0.0057 max mem: 31630 Epoch: [34] [2880/5278] eta: 1:49:20 lr: 8.320900558370443e-06 loss: 0.0384 (0.0391) loss_seg: 0.0382 (0.0388) loss_lansim: 0.0225 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.6919 data: 0.0057 max mem: 31630 Epoch: [34] [2890/5278] eta: 1:48:52 lr: 8.318299057487444e-06 loss: 0.0387 (0.0390) loss_seg: 0.0385 (0.0388) loss_lansim: 0.0227 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.6920 data: 0.0056 max mem: 31630 Epoch: [34] [2900/5278] eta: 1:48:25 lr: 8.315697466200784e-06 loss: 0.0400 (0.0391) loss_seg: 0.0398 (0.0388) loss_lansim: 0.0228 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.6933 data: 0.0055 max mem: 31630 Epoch: [34] [2910/5278] eta: 1:47:57 lr: 8.313095784475893e-06 loss: 0.0383 (0.0390) loss_seg: 0.0380 (0.0388) loss_lansim: 0.0230 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.6912 data: 0.0053 max mem: 31630 Epoch: [34] [2920/5278] eta: 1:47:29 lr: 8.310494012278183e-06 loss: 0.0381 (0.0391) loss_seg: 0.0379 (0.0388) loss_lansim: 0.0230 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.6906 data: 0.0054 max mem: 31630 Epoch: [34] [2930/5278] eta: 1:47:02 lr: 8.307892149573024e-06 loss: 0.0377 (0.0390) loss_seg: 0.0375 (0.0388) loss_lansim: 0.0230 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.6915 data: 0.0055 max mem: 31630 Epoch: [34] [2940/5278] eta: 1:46:34 lr: 8.305290196325773e-06 loss: 0.0372 (0.0390) loss_seg: 0.0369 (0.0388) loss_lansim: 0.0230 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.6913 data: 0.0056 max mem: 31630 Epoch: [34] [2950/5278] eta: 1:46:06 lr: 8.302688152501765e-06 loss: 0.0368 (0.0390) loss_seg: 0.0365 (0.0388) loss_lansim: 0.0230 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.6910 data: 0.0057 max mem: 31630 Epoch: [34] [2960/5278] eta: 1:45:38 lr: 8.300086018066303e-06 loss: 0.0359 (0.0390) loss_seg: 0.0356 (0.0388) loss_lansim: 0.0232 (0.0225) loss_contra: 0.0002 (0.0013) time: 2.6916 data: 0.0058 max mem: 31630 Epoch: [34] [2970/5278] eta: 1:45:10 lr: 8.29748379298466e-06 loss: 0.0359 (0.0390) loss_seg: 0.0358 (0.0388) loss_lansim: 0.0231 (0.0225) loss_contra: 0.0002 (0.0013) time: 2.6920 data: 0.0058 max mem: 31630 Epoch: [34] [2980/5278] eta: 1:44:43 lr: 8.294881477222093e-06 loss: 0.0359 (0.0390) loss_seg: 0.0356 (0.0387) loss_lansim: 0.0233 (0.0225) loss_contra: 0.0002 (0.0013) time: 2.6954 data: 0.0059 max mem: 31630 Epoch: [34] [2990/5278] eta: 1:44:15 lr: 8.29227907074383e-06 loss: 0.0358 (0.0390) loss_seg: 0.0356 (0.0387) loss_lansim: 0.0233 (0.0225) loss_contra: 0.0002 (0.0013) time: 2.6957 data: 0.0059 max mem: 31630 Epoch: [34] [3000/5278] eta: 1:43:48 lr: 8.289676573515074e-06 loss: 0.0355 (0.0390) loss_seg: 0.0353 (0.0387) loss_lansim: 0.0235 (0.0225) loss_contra: 0.0002 (0.0013) time: 2.6913 data: 0.0060 max mem: 31630 Epoch: [34] [3010/5278] eta: 1:43:20 lr: 8.287073985501006e-06 loss: 0.0350 (0.0390) loss_seg: 0.0348 (0.0387) loss_lansim: 0.0234 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.6899 data: 0.0060 max mem: 31630 Epoch: [34] [3020/5278] eta: 1:42:52 lr: 8.284471306666766e-06 loss: 0.0348 (0.0390) loss_seg: 0.0346 (0.0387) loss_lansim: 0.0233 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.6889 data: 0.0059 max mem: 31630 Epoch: [34] [3030/5278] eta: 1:42:25 lr: 8.28186853697749e-06 loss: 0.0348 (0.0390) loss_seg: 0.0346 (0.0387) loss_lansim: 0.0234 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6882 data: 0.0057 max mem: 31630 Epoch: [34] [3040/5278] eta: 1:41:57 lr: 8.27926567639827e-06 loss: 0.0349 (0.0390) loss_seg: 0.0346 (0.0387) loss_lansim: 0.0236 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6875 data: 0.0056 max mem: 31630 Epoch: [34] [3050/5278] eta: 1:41:29 lr: 8.276662724894194e-06 loss: 0.0350 (0.0389) loss_seg: 0.0348 (0.0387) loss_lansim: 0.0236 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6873 data: 0.0055 max mem: 31630 Epoch: [34] [3060/5278] eta: 1:41:01 lr: 8.274059682430295e-06 loss: 0.0351 (0.0390) loss_seg: 0.0348 (0.0387) loss_lansim: 0.0236 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6867 data: 0.0055 max mem: 31630 Epoch: [34] [3070/5278] eta: 1:40:34 lr: 8.271456548971606e-06 loss: 0.0350 (0.0390) loss_seg: 0.0348 (0.0387) loss_lansim: 0.0236 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6905 data: 0.0055 max mem: 31630 Epoch: [34] [3080/5278] eta: 1:40:06 lr: 8.26885332448312e-06 loss: 0.0349 (0.0390) loss_seg: 0.0347 (0.0387) loss_lansim: 0.0233 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6916 data: 0.0055 max mem: 31630 Epoch: [34] [3090/5278] eta: 1:39:39 lr: 8.26625000892982e-06 loss: 0.0351 (0.0390) loss_seg: 0.0349 (0.0387) loss_lansim: 0.0233 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6898 data: 0.0054 max mem: 31630 Epoch: [34] [3100/5278] eta: 1:39:11 lr: 8.263646602276639e-06 loss: 0.0353 (0.0390) loss_seg: 0.0351 (0.0387) loss_lansim: 0.0233 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6885 data: 0.0054 max mem: 31630 Epoch: [34] [3110/5278] eta: 1:38:43 lr: 8.261043104488499e-06 loss: 0.0354 (0.0389) loss_seg: 0.0351 (0.0387) loss_lansim: 0.0233 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6875 data: 0.0054 max mem: 31630 Epoch: [34] [3120/5278] eta: 1:38:16 lr: 8.2584395155303e-06 loss: 0.0354 (0.0389) loss_seg: 0.0352 (0.0387) loss_lansim: 0.0233 (0.0226) loss_contra: 0.0002 (0.0013) time: 2.6874 data: 0.0054 max mem: 31630 Epoch: [34] [3130/5278] eta: 1:37:48 lr: 8.255835835366915e-06 loss: 0.0354 (0.0389) loss_seg: 0.0351 (0.0387) loss_lansim: 0.0232 (0.0226) loss_contra: 0.0002 (0.0013) time: 2.6864 data: 0.0055 max mem: 31630 Epoch: [34] [3140/5278] eta: 1:37:20 lr: 8.253232063963175e-06 loss: 0.0354 (0.0389) loss_seg: 0.0352 (0.0387) loss_lansim: 0.0230 (0.0226) loss_contra: 0.0002 (0.0013) time: 2.6867 data: 0.0054 max mem: 31630 Epoch: [34] [3150/5278] eta: 1:36:53 lr: 8.250628201283902e-06 loss: 0.0354 (0.0389) loss_seg: 0.0352 (0.0386) loss_lansim: 0.0229 (0.0226) loss_contra: 0.0002 (0.0013) time: 2.6872 data: 0.0055 max mem: 31630 Epoch: [34] [3160/5278] eta: 1:36:25 lr: 8.24802424729389e-06 loss: 0.0354 (0.0389) loss_seg: 0.0352 (0.0386) loss_lansim: 0.0228 (0.0226) loss_contra: 0.0002 (0.0013) time: 2.6908 data: 0.0055 max mem: 31630 Epoch: [34] [3170/5278] eta: 1:35:58 lr: 8.245420201957907e-06 loss: 0.0354 (0.0389) loss_seg: 0.0352 (0.0386) loss_lansim: 0.0228 (0.0226) loss_contra: 0.0002 (0.0013) time: 2.6918 data: 0.0055 max mem: 31630 Epoch: [34] [3180/5278] eta: 1:35:30 lr: 8.242816065240682e-06 loss: 0.0367 (0.0389) loss_seg: 0.0364 (0.0387) loss_lansim: 0.0228 (0.0226) loss_contra: 0.0003 (0.0013) time: 2.6911 data: 0.0055 max mem: 31630 Epoch: [34] [3190/5278] eta: 1:35:03 lr: 8.240211837106935e-06 loss: 0.0365 (0.0389) loss_seg: 0.0363 (0.0387) loss_lansim: 0.0226 (0.0226) loss_contra: 0.0003 (0.0013) time: 2.6892 data: 0.0056 max mem: 31630 Epoch: [34] [3200/5278] eta: 1:34:35 lr: 8.237607517521354e-06 loss: 0.0365 (0.0389) loss_seg: 0.0363 (0.0387) loss_lansim: 0.0226 (0.0226) loss_contra: 0.0003 (0.0013) time: 2.6881 data: 0.0056 max mem: 31630 Epoch: [34] [3210/5278] eta: 1:34:07 lr: 8.235003106448604e-06 loss: 0.0371 (0.0389) loss_seg: 0.0369 (0.0387) loss_lansim: 0.0225 (0.0226) loss_contra: 0.0003 (0.0013) time: 2.6857 data: 0.0058 max mem: 31630 Epoch: [34] [3220/5278] eta: 1:33:39 lr: 8.232398603853309e-06 loss: 0.0375 (0.0389) loss_seg: 0.0372 (0.0387) loss_lansim: 0.0225 (0.0226) loss_contra: 0.0003 (0.0013) time: 2.6825 data: 0.0058 max mem: 31630 Epoch: [34] [3230/5278] eta: 1:33:12 lr: 8.229794009700085e-06 loss: 0.0365 (0.0389) loss_seg: 0.0363 (0.0386) loss_lansim: 0.0225 (0.0226) loss_contra: 0.0003 (0.0013) time: 2.6803 data: 0.0059 max mem: 31630 Epoch: [34] [3240/5278] eta: 1:32:44 lr: 8.227189323953512e-06 loss: 0.0375 (0.0389) loss_seg: 0.0372 (0.0386) loss_lansim: 0.0226 (0.0226) loss_contra: 0.0002 (0.0013) time: 2.6769 data: 0.0060 max mem: 31630 Epoch: [34] [3250/5278] eta: 1:32:16 lr: 8.22458454657815e-06 loss: 0.0378 (0.0389) loss_seg: 0.0375 (0.0387) loss_lansim: 0.0226 (0.0226) loss_contra: 0.0002 (0.0013) time: 2.6763 data: 0.0059 max mem: 31630 Epoch: [34] [3260/5278] eta: 1:31:48 lr: 8.221979677538533e-06 loss: 0.0378 (0.0390) loss_seg: 0.0375 (0.0387) loss_lansim: 0.0226 (0.0226) loss_contra: 0.0002 (0.0013) time: 2.6727 data: 0.0059 max mem: 31630 Epoch: [34] [3270/5278] eta: 1:31:21 lr: 8.219374716799157e-06 loss: 0.0378 (0.0390) loss_seg: 0.0375 (0.0387) loss_lansim: 0.0223 (0.0226) loss_contra: 0.0002 (0.0013) time: 2.6669 data: 0.0059 max mem: 31630 Epoch: [34] [3280/5278] eta: 1:30:53 lr: 8.216769664324502e-06 loss: 0.0361 (0.0390) loss_seg: 0.0359 (0.0387) loss_lansim: 0.0222 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6600 data: 0.0058 max mem: 31630 Epoch: [34] [3290/5278] eta: 1:30:25 lr: 8.214164520079024e-06 loss: 0.0352 (0.0389) loss_seg: 0.0349 (0.0387) loss_lansim: 0.0221 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6583 data: 0.0058 max mem: 31630 Epoch: [34] [3300/5278] eta: 1:29:57 lr: 8.211559284027151e-06 loss: 0.0341 (0.0389) loss_seg: 0.0339 (0.0387) loss_lansim: 0.0220 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6578 data: 0.0057 max mem: 31630 Epoch: [34] [3310/5278] eta: 1:29:30 lr: 8.208953956133273e-06 loss: 0.0341 (0.0389) loss_seg: 0.0339 (0.0387) loss_lansim: 0.0221 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6594 data: 0.0056 max mem: 31630 Epoch: [34] [3320/5278] eta: 1:29:02 lr: 8.206348536361765e-06 loss: 0.0338 (0.0389) loss_seg: 0.0335 (0.0387) loss_lansim: 0.0221 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6616 data: 0.0055 max mem: 31630 Epoch: [34] [3330/5278] eta: 1:28:35 lr: 8.203743024676977e-06 loss: 0.0360 (0.0389) loss_seg: 0.0358 (0.0387) loss_lansim: 0.0221 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6638 data: 0.0055 max mem: 31630 Epoch: [34] [3340/5278] eta: 1:28:07 lr: 8.201137421043232e-06 loss: 0.0364 (0.0389) loss_seg: 0.0361 (0.0387) loss_lansim: 0.0221 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6686 data: 0.0054 max mem: 31630 Epoch: [34] [3350/5278] eta: 1:27:40 lr: 8.198531725424816e-06 loss: 0.0357 (0.0389) loss_seg: 0.0355 (0.0387) loss_lansim: 0.0221 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6720 data: 0.0054 max mem: 31630 Epoch: [34] [3360/5278] eta: 1:27:12 lr: 8.195925937785998e-06 loss: 0.0366 (0.0389) loss_seg: 0.0364 (0.0387) loss_lansim: 0.0221 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6745 data: 0.0054 max mem: 31630 Epoch: [34] [3370/5278] eta: 1:26:45 lr: 8.19332005809102e-06 loss: 0.0366 (0.0390) loss_seg: 0.0364 (0.0387) loss_lansim: 0.0223 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6755 data: 0.0054 max mem: 31630 Epoch: [34] [3380/5278] eta: 1:26:17 lr: 8.1907140863041e-06 loss: 0.0357 (0.0389) loss_seg: 0.0355 (0.0387) loss_lansim: 0.0225 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6794 data: 0.0055 max mem: 31630 Epoch: [34] [3390/5278] eta: 1:25:50 lr: 8.188108022389418e-06 loss: 0.0372 (0.0389) loss_seg: 0.0370 (0.0387) loss_lansim: 0.0226 (0.0226) loss_contra: 0.0001 (0.0014) time: 2.6802 data: 0.0055 max mem: 31630 Epoch: [34] [3400/5278] eta: 1:25:22 lr: 8.185501866311139e-06 loss: 0.0368 (0.0389) loss_seg: 0.0366 (0.0387) loss_lansim: 0.0225 (0.0226) loss_contra: 0.0001 (0.0014) time: 2.6812 data: 0.0055 max mem: 31630 Epoch: [34] [3410/5278] eta: 1:24:54 lr: 8.182895618033394e-06 loss: 0.0372 (0.0389) loss_seg: 0.0369 (0.0387) loss_lansim: 0.0224 (0.0226) loss_contra: 0.0002 (0.0014) time: 2.6816 data: 0.0056 max mem: 31630 Epoch: [34] [3420/5278] eta: 1:24:27 lr: 8.1802892775203e-06 loss: 0.0372 (0.0389) loss_seg: 0.0370 (0.0387) loss_lansim: 0.0222 (0.0226) loss_contra: 0.0002 (0.0014) time: 2.6819 data: 0.0056 max mem: 31630 Epoch: [34] [3430/5278] eta: 1:23:59 lr: 8.177682844735925e-06 loss: 0.0354 (0.0389) loss_seg: 0.0352 (0.0387) loss_lansim: 0.0224 (0.0226) loss_contra: 0.0002 (0.0014) time: 2.6841 data: 0.0056 max mem: 31630 Epoch: [34] [3440/5278] eta: 1:23:32 lr: 8.175076319644329e-06 loss: 0.0354 (0.0389) loss_seg: 0.0352 (0.0387) loss_lansim: 0.0223 (0.0226) loss_contra: 0.0002 (0.0014) time: 2.6868 data: 0.0057 max mem: 31630 Epoch: [34] [3450/5278] eta: 1:23:05 lr: 8.17246970220954e-06 loss: 0.0369 (0.0389) loss_seg: 0.0366 (0.0387) loss_lansim: 0.0222 (0.0226) loss_contra: 0.0002 (0.0014) time: 2.6864 data: 0.0057 max mem: 31630 Epoch: [34] [3460/5278] eta: 1:22:37 lr: 8.169862992395563e-06 loss: 0.0369 (0.0389) loss_seg: 0.0367 (0.0387) loss_lansim: 0.0222 (0.0226) loss_contra: 0.0002 (0.0014) time: 2.6851 data: 0.0058 max mem: 31630 Epoch: [34] [3470/5278] eta: 1:22:10 lr: 8.167256190166363e-06 loss: 0.0371 (0.0390) loss_seg: 0.0369 (0.0387) loss_lansim: 0.0221 (0.0226) loss_contra: 0.0002 (0.0014) time: 2.6861 data: 0.0057 max mem: 31630 Epoch: [34] [3480/5278] eta: 1:21:42 lr: 8.16464929548589e-06 loss: 0.0371 (0.0389) loss_seg: 0.0369 (0.0387) loss_lansim: 0.0221 (0.0226) loss_contra: 0.0002 (0.0014) time: 2.6857 data: 0.0057 max mem: 31630 Epoch: [34] [3490/5278] eta: 1:21:15 lr: 8.162042308318066e-06 loss: 0.0371 (0.0389) loss_seg: 0.0369 (0.0387) loss_lansim: 0.0221 (0.0226) loss_contra: 0.0002 (0.0014) time: 2.6851 data: 0.0057 max mem: 31630 Epoch: [34] [3500/5278] eta: 1:20:47 lr: 8.159435228626782e-06 loss: 0.0371 (0.0389) loss_seg: 0.0369 (0.0387) loss_lansim: 0.0222 (0.0226) loss_contra: 0.0002 (0.0014) time: 2.6840 data: 0.0056 max mem: 31630 Epoch: [34] [3510/5278] eta: 1:20:19 lr: 8.156828056375915e-06 loss: 0.0369 (0.0389) loss_seg: 0.0367 (0.0387) loss_lansim: 0.0221 (0.0226) loss_contra: 0.0002 (0.0014) time: 2.6835 data: 0.0055 max mem: 31630 Epoch: [34] [3520/5278] eta: 1:19:52 lr: 8.154220791529286e-06 loss: 0.0365 (0.0389) loss_seg: 0.0363 (0.0387) loss_lansim: 0.0223 (0.0226) loss_contra: 0.0002 (0.0014) time: 2.6860 data: 0.0055 max mem: 31630 Epoch: [34] [3530/5278] eta: 1:19:25 lr: 8.15161343405072e-06 loss: 0.0365 (0.0389) loss_seg: 0.0363 (0.0387) loss_lansim: 0.0223 (0.0226) loss_contra: 0.0002 (0.0014) time: 2.6885 data: 0.0056 max mem: 31630 Epoch: [34] [3540/5278] eta: 1:18:57 lr: 8.149005983903996e-06 loss: 0.0350 (0.0389) loss_seg: 0.0348 (0.0386) loss_lansim: 0.0222 (0.0226) loss_contra: 0.0002 (0.0014) time: 2.6878 data: 0.0056 max mem: 31630 Epoch: [34] [3550/5278] eta: 1:18:30 lr: 8.146398441052885e-06 loss: 0.0352 (0.0389) loss_seg: 0.0350 (0.0387) loss_lansim: 0.0224 (0.0226) loss_contra: 0.0002 (0.0014) time: 2.6864 data: 0.0056 max mem: 31630 Epoch: [34] [3560/5278] eta: 1:18:02 lr: 8.143790805461101e-06 loss: 0.0350 (0.0389) loss_seg: 0.0347 (0.0387) loss_lansim: 0.0225 (0.0226) loss_contra: 0.0002 (0.0014) time: 2.6851 data: 0.0056 max mem: 31630 Epoch: [34] [3570/5278] eta: 1:17:35 lr: 8.141183077092358e-06 loss: 0.0356 (0.0389) loss_seg: 0.0353 (0.0387) loss_lansim: 0.0225 (0.0226) loss_contra: 0.0001 (0.0014) time: 2.6837 data: 0.0056 max mem: 31630 Epoch: [34] [3580/5278] eta: 1:17:07 lr: 8.13857525591033e-06 loss: 0.0365 (0.0389) loss_seg: 0.0363 (0.0387) loss_lansim: 0.0221 (0.0226) loss_contra: 0.0001 (0.0014) time: 2.6829 data: 0.0056 max mem: 31630 Epoch: [34] [3590/5278] eta: 1:16:40 lr: 8.135967341878672e-06 loss: 0.0362 (0.0389) loss_seg: 0.0359 (0.0387) loss_lansim: 0.0221 (0.0226) loss_contra: 0.0001 (0.0014) time: 2.6821 data: 0.0057 max mem: 31630 Epoch: [34] [3600/5278] eta: 1:16:12 lr: 8.133359334960999e-06 loss: 0.0359 (0.0389) loss_seg: 0.0357 (0.0387) loss_lansim: 0.0218 (0.0226) loss_contra: 0.0001 (0.0014) time: 2.6815 data: 0.0057 max mem: 31630 Epoch: [34] [3610/5278] eta: 1:15:45 lr: 8.130751235120911e-06 loss: 0.0374 (0.0389) loss_seg: 0.0372 (0.0387) loss_lansim: 0.0219 (0.0226) loss_contra: 0.0001 (0.0014) time: 2.6821 data: 0.0058 max mem: 31630 Epoch: [34] [3620/5278] eta: 1:15:17 lr: 8.128143042321976e-06 loss: 0.0359 (0.0389) loss_seg: 0.0357 (0.0387) loss_lansim: 0.0219 (0.0226) loss_contra: 0.0001 (0.0014) time: 2.6839 data: 0.0057 max mem: 31630 Epoch: [34] [3630/5278] eta: 1:14:50 lr: 8.12553475652774e-06 loss: 0.0369 (0.0389) loss_seg: 0.0367 (0.0387) loss_lansim: 0.0218 (0.0226) loss_contra: 0.0001 (0.0014) time: 2.6846 data: 0.0057 max mem: 31630 Epoch: [34] [3640/5278] eta: 1:14:23 lr: 8.122926377701704e-06 loss: 0.0389 (0.0389) loss_seg: 0.0386 (0.0387) loss_lansim: 0.0219 (0.0226) loss_contra: 0.0001 (0.0014) time: 2.6811 data: 0.0057 max mem: 31630 Epoch: [34] [3650/5278] eta: 1:13:55 lr: 8.120317905807363e-06 loss: 0.0389 (0.0390) loss_seg: 0.0386 (0.0387) loss_lansim: 0.0219 (0.0226) loss_contra: 0.0001 (0.0014) time: 2.6801 data: 0.0056 max mem: 31630 Epoch: [34] [3660/5278] eta: 1:13:28 lr: 8.117709340808175e-06 loss: 0.0393 (0.0390) loss_seg: 0.0391 (0.0387) loss_lansim: 0.0219 (0.0226) loss_contra: 0.0001 (0.0014) time: 2.6803 data: 0.0056 max mem: 31630 Epoch: [34] [3670/5278] eta: 1:13:00 lr: 8.115100682667579e-06 loss: 0.0384 (0.0390) loss_seg: 0.0381 (0.0387) loss_lansim: 0.0218 (0.0226) loss_contra: 0.0001 (0.0014) time: 2.6805 data: 0.0056 max mem: 31630 Epoch: [34] [3680/5278] eta: 1:12:33 lr: 8.112491931348963e-06 loss: 0.0369 (0.0389) loss_seg: 0.0367 (0.0387) loss_lansim: 0.0222 (0.0226) loss_contra: 0.0001 (0.0014) time: 2.6804 data: 0.0055 max mem: 31630 Epoch: [34] [3690/5278] eta: 1:12:05 lr: 8.109883086815714e-06 loss: 0.0368 (0.0389) loss_seg: 0.0366 (0.0387) loss_lansim: 0.0221 (0.0226) loss_contra: 0.0001 (0.0014) time: 2.6813 data: 0.0054 max mem: 31630 Epoch: [34] [3700/5278] eta: 1:11:38 lr: 8.107274149031176e-06 loss: 0.0369 (0.0389) loss_seg: 0.0367 (0.0387) loss_lansim: 0.0219 (0.0226) loss_contra: 0.0001 (0.0014) time: 2.6836 data: 0.0054 max mem: 31630 Epoch: [34] [3710/5278] eta: 1:11:11 lr: 8.104665117958684e-06 loss: 0.0368 (0.0389) loss_seg: 0.0366 (0.0387) loss_lansim: 0.0220 (0.0226) loss_contra: 0.0001 (0.0014) time: 2.6874 data: 0.0054 max mem: 31630 Epoch: [34] [3720/5278] eta: 1:10:43 lr: 8.102055993561516e-06 loss: 0.0369 (0.0389) loss_seg: 0.0367 (0.0387) loss_lansim: 0.0219 (0.0226) loss_contra: 0.0001 (0.0014) time: 2.6869 data: 0.0053 max mem: 31630 Epoch: [34] [3730/5278] eta: 1:10:16 lr: 8.099446775802941e-06 loss: 0.0371 (0.0389) loss_seg: 0.0368 (0.0387) loss_lansim: 0.0221 (0.0226) loss_contra: 0.0001 (0.0014) time: 2.6832 data: 0.0052 max mem: 31630 Epoch: [34] [3740/5278] eta: 1:09:49 lr: 8.096837464646204e-06 loss: 0.0359 (0.0389) loss_seg: 0.0357 (0.0387) loss_lansim: 0.0222 (0.0226) loss_contra: 0.0001 (0.0014) time: 2.6827 data: 0.0052 max mem: 31630 Epoch: [34] [3750/5278] eta: 1:09:21 lr: 8.094228060054515e-06 loss: 0.0354 (0.0389) loss_seg: 0.0352 (0.0387) loss_lansim: 0.0224 (0.0226) loss_contra: 0.0001 (0.0014) time: 2.6816 data: 0.0052 max mem: 31630 Epoch: [34] [3760/5278] eta: 1:08:54 lr: 8.091618561991063e-06 loss: 0.0359 (0.0389) loss_seg: 0.0357 (0.0387) loss_lansim: 0.0223 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6806 data: 0.0052 max mem: 31630 Epoch: [34] [3770/5278] eta: 1:08:26 lr: 8.08900897041899e-06 loss: 0.0349 (0.0389) loss_seg: 0.0346 (0.0387) loss_lansim: 0.0226 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6798 data: 0.0052 max mem: 31630 Epoch: [34] [3780/5278] eta: 1:07:59 lr: 8.086399285301432e-06 loss: 0.0354 (0.0389) loss_seg: 0.0352 (0.0387) loss_lansim: 0.0223 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6796 data: 0.0053 max mem: 31630 Epoch: [34] [3790/5278] eta: 1:07:31 lr: 8.08378950660149e-06 loss: 0.0359 (0.0389) loss_seg: 0.0357 (0.0387) loss_lansim: 0.0224 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6814 data: 0.0053 max mem: 31630 Epoch: [34] [3800/5278] eta: 1:07:04 lr: 8.081179634282241e-06 loss: 0.0361 (0.0389) loss_seg: 0.0359 (0.0387) loss_lansim: 0.0228 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6837 data: 0.0054 max mem: 31630 Epoch: [34] [3810/5278] eta: 1:06:37 lr: 8.078569668306718e-06 loss: 0.0377 (0.0390) loss_seg: 0.0375 (0.0387) loss_lansim: 0.0228 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6821 data: 0.0054 max mem: 31630 Epoch: [34] [3820/5278] eta: 1:06:09 lr: 8.075959608637945e-06 loss: 0.0361 (0.0389) loss_seg: 0.0359 (0.0387) loss_lansim: 0.0229 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6781 data: 0.0054 max mem: 31630 Epoch: [34] [3830/5278] eta: 1:05:42 lr: 8.07334945523891e-06 loss: 0.0361 (0.0389) loss_seg: 0.0359 (0.0387) loss_lansim: 0.0224 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6758 data: 0.0054 max mem: 31630 Epoch: [34] [3840/5278] eta: 1:05:14 lr: 8.07073920807258e-06 loss: 0.0361 (0.0389) loss_seg: 0.0359 (0.0387) loss_lansim: 0.0223 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6747 data: 0.0053 max mem: 31630 Epoch: [34] [3850/5278] eta: 1:04:47 lr: 8.068128867101878e-06 loss: 0.0374 (0.0389) loss_seg: 0.0371 (0.0387) loss_lansim: 0.0222 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6740 data: 0.0054 max mem: 31630 Epoch: [34] [3860/5278] eta: 1:04:19 lr: 8.065518432289714e-06 loss: 0.0367 (0.0389) loss_seg: 0.0365 (0.0387) loss_lansim: 0.0222 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6741 data: 0.0053 max mem: 31630 Epoch: [34] [3870/5278] eta: 1:03:52 lr: 8.062907903598966e-06 loss: 0.0374 (0.0389) loss_seg: 0.0371 (0.0387) loss_lansim: 0.0222 (0.0226) loss_contra: 0.0002 (0.0013) time: 2.6755 data: 0.0054 max mem: 31630 Epoch: [34] [3880/5278] eta: 1:03:25 lr: 8.060297280992485e-06 loss: 0.0366 (0.0389) loss_seg: 0.0364 (0.0387) loss_lansim: 0.0222 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6783 data: 0.0055 max mem: 31630 Epoch: [34] [3890/5278] eta: 1:02:57 lr: 8.057686564433087e-06 loss: 0.0374 (0.0389) loss_seg: 0.0371 (0.0387) loss_lansim: 0.0223 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6811 data: 0.0056 max mem: 31630 Epoch: [34] [3900/5278] eta: 1:02:30 lr: 8.055075753883565e-06 loss: 0.0367 (0.0389) loss_seg: 0.0365 (0.0387) loss_lansim: 0.0219 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6819 data: 0.0057 max mem: 31630 Epoch: [34] [3910/5278] eta: 1:02:03 lr: 8.052464849306686e-06 loss: 0.0350 (0.0389) loss_seg: 0.0347 (0.0387) loss_lansim: 0.0219 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6792 data: 0.0058 max mem: 31630 Epoch: [34] [3920/5278] eta: 1:01:36 lr: 8.049853850665194e-06 loss: 0.0364 (0.0389) loss_seg: 0.0362 (0.0387) loss_lansim: 0.0220 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6806 data: 0.0058 max mem: 31630 Epoch: [34] [3930/5278] eta: 1:01:08 lr: 8.047242757921783e-06 loss: 0.0367 (0.0389) loss_seg: 0.0365 (0.0387) loss_lansim: 0.0220 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6820 data: 0.0060 max mem: 31630 Epoch: [34] [3940/5278] eta: 1:00:41 lr: 8.04463157103914e-06 loss: 0.0375 (0.0389) loss_seg: 0.0373 (0.0387) loss_lansim: 0.0223 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6837 data: 0.0061 max mem: 31630 Epoch: [34] [3950/5278] eta: 1:00:13 lr: 8.042020289979918e-06 loss: 0.0371 (0.0389) loss_seg: 0.0369 (0.0387) loss_lansim: 0.0221 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6856 data: 0.0061 max mem: 31630 Epoch: [34] [3960/5278] eta: 0:59:46 lr: 8.039408914706744e-06 loss: 0.0380 (0.0389) loss_seg: 0.0378 (0.0387) loss_lansim: 0.0223 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6877 data: 0.0062 max mem: 31630 Epoch: [34] [3970/5278] eta: 0:59:19 lr: 8.036797445182205e-06 loss: 0.0371 (0.0389) loss_seg: 0.0369 (0.0387) loss_lansim: 0.0223 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6893 data: 0.0062 max mem: 31630 Epoch: [34] [3980/5278] eta: 0:58:52 lr: 8.03418588136887e-06 loss: 0.0369 (0.0389) loss_seg: 0.0367 (0.0387) loss_lansim: 0.0220 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6911 data: 0.0061 max mem: 31630 Epoch: [34] [3990/5278] eta: 0:58:24 lr: 8.03157422322928e-06 loss: 0.0365 (0.0389) loss_seg: 0.0363 (0.0387) loss_lansim: 0.0218 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6907 data: 0.0061 max mem: 31630 Epoch: [34] [4000/5278] eta: 0:57:57 lr: 8.028962470725946e-06 loss: 0.0365 (0.0389) loss_seg: 0.0363 (0.0387) loss_lansim: 0.0219 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6891 data: 0.0060 max mem: 31630 Epoch: [34] [4010/5278] eta: 0:57:30 lr: 8.026350623821354e-06 loss: 0.0368 (0.0389) loss_seg: 0.0366 (0.0387) loss_lansim: 0.0217 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6904 data: 0.0058 max mem: 31630 Epoch: [34] [4020/5278] eta: 0:57:02 lr: 8.023738682477945e-06 loss: 0.0368 (0.0389) loss_seg: 0.0366 (0.0387) loss_lansim: 0.0217 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6907 data: 0.0058 max mem: 31630 Epoch: [34] [4030/5278] eta: 0:56:35 lr: 8.02112664665815e-06 loss: 0.0365 (0.0389) loss_seg: 0.0363 (0.0386) loss_lansim: 0.0217 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6903 data: 0.0056 max mem: 31630 Epoch: [34] [4040/5278] eta: 0:56:08 lr: 8.018514516324365e-06 loss: 0.0354 (0.0389) loss_seg: 0.0351 (0.0386) loss_lansim: 0.0215 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6892 data: 0.0056 max mem: 31630 Epoch: [34] [4050/5278] eta: 0:55:40 lr: 8.015902291438964e-06 loss: 0.0349 (0.0389) loss_seg: 0.0347 (0.0386) loss_lansim: 0.0212 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6886 data: 0.0056 max mem: 31630 Epoch: [34] [4060/5278] eta: 0:55:13 lr: 8.013289971964274e-06 loss: 0.0344 (0.0389) loss_seg: 0.0341 (0.0386) loss_lansim: 0.0211 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6887 data: 0.0056 max mem: 31630 Epoch: [34] [4070/5278] eta: 0:54:46 lr: 8.01067755786261e-06 loss: 0.0361 (0.0389) loss_seg: 0.0359 (0.0387) loss_lansim: 0.0211 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6913 data: 0.0056 max mem: 31630 Epoch: [34] [4080/5278] eta: 0:54:19 lr: 8.008065049096255e-06 loss: 0.0362 (0.0389) loss_seg: 0.0360 (0.0386) loss_lansim: 0.0215 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6931 data: 0.0056 max mem: 31630 Epoch: [34] [4090/5278] eta: 0:53:51 lr: 8.005452445627468e-06 loss: 0.0357 (0.0389) loss_seg: 0.0355 (0.0386) loss_lansim: 0.0211 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6900 data: 0.0056 max mem: 31630 Epoch: [34] [4100/5278] eta: 0:53:24 lr: 8.00283974741846e-06 loss: 0.0357 (0.0389) loss_seg: 0.0355 (0.0386) loss_lansim: 0.0215 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6889 data: 0.0056 max mem: 31630 Epoch: [34] [4110/5278] eta: 0:52:57 lr: 8.000226954431432e-06 loss: 0.0339 (0.0389) loss_seg: 0.0337 (0.0386) loss_lansim: 0.0215 (0.0225) loss_contra: 0.0002 (0.0013) time: 2.6886 data: 0.0057 max mem: 31630 Epoch: [34] [4120/5278] eta: 0:52:29 lr: 7.997614066628551e-06 loss: 0.0345 (0.0389) loss_seg: 0.0343 (0.0386) loss_lansim: 0.0215 (0.0225) loss_contra: 0.0002 (0.0013) time: 2.6878 data: 0.0058 max mem: 31630 Epoch: [34] [4130/5278] eta: 0:52:02 lr: 7.995001083971961e-06 loss: 0.0354 (0.0389) loss_seg: 0.0352 (0.0386) loss_lansim: 0.0215 (0.0225) loss_contra: 0.0002 (0.0013) time: 2.6886 data: 0.0059 max mem: 31630 Epoch: [34] [4140/5278] eta: 0:51:35 lr: 7.99238800642376e-06 loss: 0.0357 (0.0389) loss_seg: 0.0355 (0.0386) loss_lansim: 0.0216 (0.0225) loss_contra: 0.0002 (0.0013) time: 2.6886 data: 0.0058 max mem: 31630 Epoch: [34] [4150/5278] eta: 0:51:07 lr: 7.989774833946032e-06 loss: 0.0355 (0.0389) loss_seg: 0.0353 (0.0386) loss_lansim: 0.0218 (0.0226) loss_contra: 0.0001 (0.0013) time: 2.6901 data: 0.0057 max mem: 31630 Epoch: [34] [4160/5278] eta: 0:50:40 lr: 7.987161566500828e-06 loss: 0.0357 (0.0388) loss_seg: 0.0355 (0.0386) loss_lansim: 0.0217 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.6929 data: 0.0058 max mem: 31630 Epoch: [34] [4170/5278] eta: 0:50:13 lr: 7.984548204050177e-06 loss: 0.0353 (0.0388) loss_seg: 0.0350 (0.0386) loss_lansim: 0.0218 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.6917 data: 0.0058 max mem: 31630 Epoch: [34] [4180/5278] eta: 0:49:46 lr: 7.98193474655606e-06 loss: 0.0353 (0.0388) loss_seg: 0.0350 (0.0386) loss_lansim: 0.0219 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.6867 data: 0.0058 max mem: 31630 Epoch: [34] [4190/5278] eta: 0:49:18 lr: 7.979321193980444e-06 loss: 0.0353 (0.0388) loss_seg: 0.0350 (0.0386) loss_lansim: 0.0222 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.6863 data: 0.0059 max mem: 31630 Epoch: [34] [4200/5278] eta: 0:48:51 lr: 7.976707546285268e-06 loss: 0.0351 (0.0388) loss_seg: 0.0349 (0.0386) loss_lansim: 0.0220 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.6847 data: 0.0059 max mem: 31630 Epoch: [34] [4210/5278] eta: 0:48:24 lr: 7.974093803432443e-06 loss: 0.0362 (0.0388) loss_seg: 0.0359 (0.0386) loss_lansim: 0.0220 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.6829 data: 0.0059 max mem: 31630 Epoch: [34] [4220/5278] eta: 0:47:56 lr: 7.971479965383832e-06 loss: 0.0362 (0.0388) loss_seg: 0.0360 (0.0386) loss_lansim: 0.0222 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.6814 data: 0.0059 max mem: 31630 Epoch: [34] [4230/5278] eta: 0:47:29 lr: 7.96886603210129e-06 loss: 0.0361 (0.0388) loss_seg: 0.0359 (0.0386) loss_lansim: 0.0218 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.6801 data: 0.0059 max mem: 31630 Epoch: [34] [4240/5278] eta: 0:47:02 lr: 7.966252003546633e-06 loss: 0.0357 (0.0388) loss_seg: 0.0356 (0.0386) loss_lansim: 0.0218 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.6823 data: 0.0059 max mem: 31630 Epoch: [34] [4250/5278] eta: 0:46:35 lr: 7.963637879681652e-06 loss: 0.0360 (0.0388) loss_seg: 0.0358 (0.0386) loss_lansim: 0.0216 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.6865 data: 0.0059 max mem: 31630 Epoch: [34] [4260/5278] eta: 0:46:07 lr: 7.961023660468113e-06 loss: 0.0360 (0.0388) loss_seg: 0.0358 (0.0386) loss_lansim: 0.0216 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.6877 data: 0.0058 max mem: 31630 Epoch: [34] [4270/5278] eta: 0:45:40 lr: 7.958409345867733e-06 loss: 0.0356 (0.0388) loss_seg: 0.0354 (0.0386) loss_lansim: 0.0214 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.6850 data: 0.0057 max mem: 31630 Epoch: [34] [4280/5278] eta: 0:45:13 lr: 7.955794935842218e-06 loss: 0.0361 (0.0388) loss_seg: 0.0359 (0.0386) loss_lansim: 0.0215 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.6846 data: 0.0057 max mem: 31630 Epoch: [34] [4290/5278] eta: 0:44:46 lr: 7.953180430353245e-06 loss: 0.0373 (0.0388) loss_seg: 0.0371 (0.0386) loss_lansim: 0.0214 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.6850 data: 0.0056 max mem: 31630 Epoch: [34] [4300/5278] eta: 0:44:18 lr: 7.950565829362458e-06 loss: 0.0364 (0.0388) loss_seg: 0.0360 (0.0386) loss_lansim: 0.0214 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.6857 data: 0.0055 max mem: 31630 Epoch: [34] [4310/5278] eta: 0:43:51 lr: 7.947951132831458e-06 loss: 0.0373 (0.0389) loss_seg: 0.0371 (0.0386) loss_lansim: 0.0214 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.6871 data: 0.0055 max mem: 31630 Epoch: [34] [4320/5278] eta: 0:43:24 lr: 7.945336340721836e-06 loss: 0.0362 (0.0388) loss_seg: 0.0359 (0.0386) loss_lansim: 0.0214 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.6885 data: 0.0054 max mem: 31630 Epoch: [34] [4330/5278] eta: 0:42:57 lr: 7.942721452995145e-06 loss: 0.0364 (0.0388) loss_seg: 0.0360 (0.0386) loss_lansim: 0.0214 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.6902 data: 0.0053 max mem: 31630 Epoch: [34] [4340/5278] eta: 0:42:29 lr: 7.940106469612915e-06 loss: 0.0378 (0.0389) loss_seg: 0.0376 (0.0386) loss_lansim: 0.0214 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.6940 data: 0.0053 max mem: 31630 Epoch: [34] [4350/5278] eta: 0:42:02 lr: 7.93749139053663e-06 loss: 0.0379 (0.0389) loss_seg: 0.0377 (0.0386) loss_lansim: 0.0215 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.6942 data: 0.0053 max mem: 31630 Epoch: [34] [4360/5278] eta: 0:41:35 lr: 7.93487621572776e-06 loss: 0.0377 (0.0388) loss_seg: 0.0375 (0.0386) loss_lansim: 0.0214 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.6905 data: 0.0053 max mem: 31630 Epoch: [34] [4370/5278] eta: 0:41:08 lr: 7.932260945147742e-06 loss: 0.0383 (0.0389) loss_seg: 0.0380 (0.0386) loss_lansim: 0.0212 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.6907 data: 0.0053 max mem: 31630 Epoch: [34] [4380/5278] eta: 0:40:40 lr: 7.929645578757988e-06 loss: 0.0377 (0.0388) loss_seg: 0.0375 (0.0386) loss_lansim: 0.0211 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.6901 data: 0.0052 max mem: 31630 Epoch: [34] [4390/5278] eta: 0:40:13 lr: 7.92703011651986e-06 loss: 0.0357 (0.0388) loss_seg: 0.0355 (0.0386) loss_lansim: 0.0208 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.6893 data: 0.0052 max mem: 31630 Epoch: [34] [4400/5278] eta: 0:39:46 lr: 7.924414558394715e-06 loss: 0.0356 (0.0388) loss_seg: 0.0354 (0.0386) loss_lansim: 0.0207 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.6887 data: 0.0052 max mem: 31630 Epoch: [34] [4410/5278] eta: 0:39:19 lr: 7.921798904343863e-06 loss: 0.0355 (0.0388) loss_seg: 0.0353 (0.0386) loss_lansim: 0.0206 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.6875 data: 0.0053 max mem: 31630 Epoch: [34] [4420/5278] eta: 0:38:51 lr: 7.919183154328604e-06 loss: 0.0357 (0.0388) loss_seg: 0.0355 (0.0386) loss_lansim: 0.0206 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.6881 data: 0.0053 max mem: 31630 Epoch: [34] [4430/5278] eta: 0:38:24 lr: 7.916567308310179e-06 loss: 0.0357 (0.0388) loss_seg: 0.0355 (0.0386) loss_lansim: 0.0206 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.6924 data: 0.0053 max mem: 31630 Epoch: [34] [4440/5278] eta: 0:37:57 lr: 7.913951366249821e-06 loss: 0.0353 (0.0388) loss_seg: 0.0351 (0.0386) loss_lansim: 0.0206 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.6920 data: 0.0053 max mem: 31630 Epoch: [34] [4450/5278] eta: 0:37:30 lr: 7.911335328108728e-06 loss: 0.0352 (0.0388) loss_seg: 0.0350 (0.0386) loss_lansim: 0.0205 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.6880 data: 0.0053 max mem: 31630 Epoch: [34] [4460/5278] eta: 0:37:03 lr: 7.908719193848074e-06 loss: 0.0352 (0.0388) loss_seg: 0.0350 (0.0386) loss_lansim: 0.0205 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.6867 data: 0.0053 max mem: 31630 Epoch: [34] [4470/5278] eta: 0:36:35 lr: 7.906102963428985e-06 loss: 0.0344 (0.0388) loss_seg: 0.0342 (0.0386) loss_lansim: 0.0204 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.6858 data: 0.0054 max mem: 31630 Epoch: [34] [4480/5278] eta: 0:36:08 lr: 7.903486636812573e-06 loss: 0.0338 (0.0388) loss_seg: 0.0336 (0.0385) loss_lansim: 0.0204 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.6853 data: 0.0054 max mem: 31630 Epoch: [34] [4490/5278] eta: 0:35:41 lr: 7.900870213959916e-06 loss: 0.0338 (0.0388) loss_seg: 0.0336 (0.0385) loss_lansim: 0.0204 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.6845 data: 0.0055 max mem: 31630 Epoch: [34] [4500/5278] eta: 0:35:13 lr: 7.898253694832062e-06 loss: 0.0340 (0.0388) loss_seg: 0.0338 (0.0385) loss_lansim: 0.0201 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.6843 data: 0.0054 max mem: 31630 Epoch: [34] [4510/5278] eta: 0:34:46 lr: 7.895637079390032e-06 loss: 0.0338 (0.0388) loss_seg: 0.0336 (0.0385) loss_lansim: 0.0201 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.6845 data: 0.0054 max mem: 31630 Epoch: [34] [4520/5278] eta: 0:34:19 lr: 7.893020367594805e-06 loss: 0.0349 (0.0388) loss_seg: 0.0346 (0.0385) loss_lansim: 0.0201 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.6878 data: 0.0054 max mem: 31630 Epoch: [34] [4530/5278] eta: 0:33:52 lr: 7.890403559407338e-06 loss: 0.0350 (0.0388) loss_seg: 0.0348 (0.0385) loss_lansim: 0.0201 (0.0225) loss_contra: 0.0001 (0.0013) time: 2.6870 data: 0.0054 max mem: 31630 Epoch: [34] [4540/5278] eta: 0:33:25 lr: 7.887786654788562e-06 loss: 0.0345 (0.0388) loss_seg: 0.0343 (0.0385) loss_lansim: 0.0202 (0.0224) loss_contra: 0.0001 (0.0013) time: 2.6834 data: 0.0054 max mem: 31630 Epoch: [34] [4550/5278] eta: 0:32:57 lr: 7.885169653699377e-06 loss: 0.0346 (0.0388) loss_seg: 0.0344 (0.0385) loss_lansim: 0.0202 (0.0224) loss_contra: 0.0001 (0.0013) time: 2.6819 data: 0.0054 max mem: 31630 Epoch: [34] [4560/5278] eta: 0:32:30 lr: 7.882552556100639e-06 loss: 0.0346 (0.0388) loss_seg: 0.0344 (0.0385) loss_lansim: 0.0202 (0.0224) loss_contra: 0.0001 (0.0013) time: 2.6797 data: 0.0055 max mem: 31630 Epoch: [34] [4570/5278] eta: 0:32:03 lr: 7.87993536195319e-06 loss: 0.0358 (0.0388) loss_seg: 0.0355 (0.0385) loss_lansim: 0.0202 (0.0224) loss_contra: 0.0001 (0.0013) time: 2.6773 data: 0.0055 max mem: 31630 Epoch: [34] [4580/5278] eta: 0:31:36 lr: 7.877318071217833e-06 loss: 0.0356 (0.0387) loss_seg: 0.0353 (0.0385) loss_lansim: 0.0202 (0.0224) loss_contra: 0.0001 (0.0013) time: 2.6757 data: 0.0055 max mem: 31630 Epoch: [34] [4590/5278] eta: 0:31:08 lr: 7.874700683855351e-06 loss: 0.0359 (0.0388) loss_seg: 0.0357 (0.0385) loss_lansim: 0.0202 (0.0224) loss_contra: 0.0001 (0.0013) time: 2.6734 data: 0.0055 max mem: 31630 Epoch: [34] [4600/5278] eta: 0:30:41 lr: 7.872083199826477e-06 loss: 0.0359 (0.0387) loss_seg: 0.0357 (0.0385) loss_lansim: 0.0202 (0.0224) loss_contra: 0.0001 (0.0013) time: 2.6711 data: 0.0055 max mem: 31630 Epoch: [34] [4610/5278] eta: 0:30:14 lr: 7.86946561909193e-06 loss: 0.0355 (0.0387) loss_seg: 0.0352 (0.0385) loss_lansim: 0.0202 (0.0224) loss_contra: 0.0001 (0.0013) time: 2.6720 data: 0.0056 max mem: 31630 Epoch: [34] [4620/5278] eta: 0:29:47 lr: 7.866847941612395e-06 loss: 0.0346 (0.0387) loss_seg: 0.0344 (0.0385) loss_lansim: 0.0202 (0.0224) loss_contra: 0.0001 (0.0013) time: 2.6682 data: 0.0056 max mem: 31630 Epoch: [34] [4630/5278] eta: 0:29:19 lr: 7.864230167348527e-06 loss: 0.0345 (0.0387) loss_seg: 0.0343 (0.0385) loss_lansim: 0.0207 (0.0224) loss_contra: 0.0001 (0.0013) time: 2.6631 data: 0.0057 max mem: 31630 Epoch: [34] [4640/5278] eta: 0:28:52 lr: 7.861612296260943e-06 loss: 0.0346 (0.0387) loss_seg: 0.0343 (0.0385) loss_lansim: 0.0207 (0.0224) loss_contra: 0.0001 (0.0013) time: 2.6595 data: 0.0057 max mem: 31630 Epoch: [34] [4650/5278] eta: 0:28:25 lr: 7.858994328310235e-06 loss: 0.0346 (0.0387) loss_seg: 0.0343 (0.0385) loss_lansim: 0.0207 (0.0224) loss_contra: 0.0001 (0.0013) time: 2.6606 data: 0.0057 max mem: 31630 Epoch: [34] [4660/5278] eta: 0:27:58 lr: 7.856376263456968e-06 loss: 0.0345 (0.0387) loss_seg: 0.0342 (0.0385) loss_lansim: 0.0207 (0.0224) loss_contra: 0.0001 (0.0014) time: 2.6628 data: 0.0057 max mem: 31630 Epoch: [34] [4670/5278] eta: 0:27:31 lr: 7.853758101661678e-06 loss: 0.0344 (0.0387) loss_seg: 0.0342 (0.0385) loss_lansim: 0.0209 (0.0224) loss_contra: 0.0001 (0.0014) time: 2.6655 data: 0.0057 max mem: 31630 Epoch: [34] [4680/5278] eta: 0:27:03 lr: 7.85113984288485e-06 loss: 0.0358 (0.0387) loss_seg: 0.0356 (0.0385) loss_lansim: 0.0209 (0.0224) loss_contra: 0.0001 (0.0014) time: 2.6671 data: 0.0057 max mem: 31630 Epoch: [34] [4690/5278] eta: 0:26:36 lr: 7.848521487086966e-06 loss: 0.0350 (0.0387) loss_seg: 0.0343 (0.0385) loss_lansim: 0.0210 (0.0224) loss_contra: 0.0001 (0.0014) time: 2.6695 data: 0.0057 max mem: 31630 Epoch: [34] [4700/5278] eta: 0:26:09 lr: 7.845903034228458e-06 loss: 0.0348 (0.0387) loss_seg: 0.0343 (0.0385) loss_lansim: 0.0210 (0.0224) loss_contra: 0.0002 (0.0014) time: 2.6780 data: 0.0057 max mem: 31630 Epoch: [34] [4710/5278] eta: 0:25:42 lr: 7.843284484269737e-06 loss: 0.0350 (0.0387) loss_seg: 0.0346 (0.0385) loss_lansim: 0.0209 (0.0224) loss_contra: 0.0002 (0.0014) time: 2.6836 data: 0.0058 max mem: 31630 Epoch: [34] [4720/5278] eta: 0:25:15 lr: 7.840665837171183e-06 loss: 0.0354 (0.0387) loss_seg: 0.0349 (0.0385) loss_lansim: 0.0209 (0.0224) loss_contra: 0.0002 (0.0014) time: 2.6871 data: 0.0057 max mem: 31630 Epoch: [34] [4730/5278] eta: 0:24:48 lr: 7.838047092893133e-06 loss: 0.0351 (0.0387) loss_seg: 0.0348 (0.0385) loss_lansim: 0.0208 (0.0224) loss_contra: 0.0002 (0.0014) time: 2.6889 data: 0.0056 max mem: 31630 Epoch: [34] [4740/5278] eta: 0:24:20 lr: 7.835428251395905e-06 loss: 0.0364 (0.0387) loss_seg: 0.0362 (0.0385) loss_lansim: 0.0205 (0.0224) loss_contra: 0.0002 (0.0014) time: 2.6916 data: 0.0056 max mem: 31630 Epoch: [34] [4750/5278] eta: 0:23:53 lr: 7.832809312639788e-06 loss: 0.0364 (0.0387) loss_seg: 0.0362 (0.0385) loss_lansim: 0.0204 (0.0224) loss_contra: 0.0002 (0.0014) time: 2.6890 data: 0.0056 max mem: 31630 Epoch: [34] [4760/5278] eta: 0:23:26 lr: 7.830190276585037e-06 loss: 0.0364 (0.0387) loss_seg: 0.0362 (0.0385) loss_lansim: 0.0204 (0.0224) loss_contra: 0.0002 (0.0014) time: 2.6878 data: 0.0056 max mem: 31630 Epoch: [34] [4770/5278] eta: 0:22:59 lr: 7.827571143191862e-06 loss: 0.0355 (0.0387) loss_seg: 0.0353 (0.0385) loss_lansim: 0.0200 (0.0224) loss_contra: 0.0002 (0.0014) time: 2.6867 data: 0.0055 max mem: 31630 Epoch: [34] [4780/5278] eta: 0:22:32 lr: 7.824951912420462e-06 loss: 0.0364 (0.0387) loss_seg: 0.0362 (0.0385) loss_lansim: 0.0204 (0.0224) loss_contra: 0.0002 (0.0014) time: 2.6873 data: 0.0055 max mem: 31630 Epoch: [34] [4790/5278] eta: 0:22:04 lr: 7.822332584230994e-06 loss: 0.0367 (0.0387) loss_seg: 0.0365 (0.0385) loss_lansim: 0.0200 (0.0223) loss_contra: 0.0002 (0.0014) time: 2.6923 data: 0.0056 max mem: 31630 Epoch: [34] [4800/5278] eta: 0:21:37 lr: 7.819713158583595e-06 loss: 0.0373 (0.0387) loss_seg: 0.0371 (0.0385) loss_lansim: 0.0202 (0.0223) loss_contra: 0.0002 (0.0014) time: 2.6924 data: 0.0056 max mem: 31630 Epoch: [34] [4810/5278] eta: 0:21:10 lr: 7.817093635438353e-06 loss: 0.0372 (0.0387) loss_seg: 0.0370 (0.0385) loss_lansim: 0.0204 (0.0223) loss_contra: 0.0001 (0.0014) time: 2.6892 data: 0.0055 max mem: 31630 Epoch: [34] [4820/5278] eta: 0:20:43 lr: 7.814474014755336e-06 loss: 0.0367 (0.0387) loss_seg: 0.0365 (0.0385) loss_lansim: 0.0204 (0.0223) loss_contra: 0.0001 (0.0014) time: 2.6859 data: 0.0055 max mem: 31630 Epoch: [34] [4830/5278] eta: 0:20:16 lr: 7.811854296494579e-06 loss: 0.0372 (0.0387) loss_seg: 0.0370 (0.0385) loss_lansim: 0.0202 (0.0223) loss_contra: 0.0002 (0.0014) time: 2.6846 data: 0.0055 max mem: 31630 Epoch: [34] [4840/5278] eta: 0:19:49 lr: 7.809234480616096e-06 loss: 0.0374 (0.0387) loss_seg: 0.0372 (0.0385) loss_lansim: 0.0202 (0.0223) loss_contra: 0.0002 (0.0014) time: 2.6828 data: 0.0056 max mem: 31630 Epoch: [34] [4850/5278] eta: 0:19:21 lr: 7.806614567079845e-06 loss: 0.0376 (0.0387) loss_seg: 0.0374 (0.0385) loss_lansim: 0.0202 (0.0223) loss_contra: 0.0002 (0.0014) time: 2.6834 data: 0.0056 max mem: 31630 Epoch: [34] [4860/5278] eta: 0:18:54 lr: 7.803994555845773e-06 loss: 0.0374 (0.0387) loss_seg: 0.0372 (0.0385) loss_lansim: 0.0200 (0.0223) loss_contra: 0.0002 (0.0014) time: 2.6838 data: 0.0057 max mem: 31630 Epoch: [34] [4870/5278] eta: 0:18:27 lr: 7.80137444687379e-06 loss: 0.0376 (0.0387) loss_seg: 0.0374 (0.0385) loss_lansim: 0.0201 (0.0223) loss_contra: 0.0002 (0.0014) time: 2.6841 data: 0.0057 max mem: 31630 Epoch: [34] [4880/5278] eta: 0:18:00 lr: 7.798754240123783e-06 loss: 0.0376 (0.0387) loss_seg: 0.0374 (0.0385) loss_lansim: 0.0200 (0.0223) loss_contra: 0.0002 (0.0014) time: 2.6896 data: 0.0058 max mem: 31630 Epoch: [34] [4890/5278] eta: 0:17:33 lr: 7.796133935555585e-06 loss: 0.0376 (0.0387) loss_seg: 0.0374 (0.0385) loss_lansim: 0.0199 (0.0223) loss_contra: 0.0002 (0.0014) time: 2.6905 data: 0.0057 max mem: 31630 Epoch: [34] [4900/5278] eta: 0:17:06 lr: 7.793513533129015e-06 loss: 0.0375 (0.0387) loss_seg: 0.0372 (0.0385) loss_lansim: 0.0201 (0.0223) loss_contra: 0.0002 (0.0014) time: 2.6870 data: 0.0057 max mem: 31630 Epoch: [34] [4910/5278] eta: 0:16:38 lr: 7.790893032803861e-06 loss: 0.0375 (0.0387) loss_seg: 0.0372 (0.0385) loss_lansim: 0.0201 (0.0223) loss_contra: 0.0001 (0.0014) time: 2.6849 data: 0.0057 max mem: 31630 Epoch: [34] [4920/5278] eta: 0:16:11 lr: 7.78827243453988e-06 loss: 0.0376 (0.0387) loss_seg: 0.0374 (0.0385) loss_lansim: 0.0201 (0.0223) loss_contra: 0.0001 (0.0014) time: 2.6844 data: 0.0058 max mem: 31630 Epoch: [34] [4930/5278] eta: 0:15:44 lr: 7.785651738296782e-06 loss: 0.0373 (0.0387) loss_seg: 0.0371 (0.0385) loss_lansim: 0.0202 (0.0223) loss_contra: 0.0001 (0.0014) time: 2.6839 data: 0.0058 max mem: 31630 Epoch: [34] [4940/5278] eta: 0:15:17 lr: 7.78303094403426e-06 loss: 0.0373 (0.0387) loss_seg: 0.0371 (0.0385) loss_lansim: 0.0202 (0.0223) loss_contra: 0.0001 (0.0014) time: 2.6839 data: 0.0057 max mem: 31630 Epoch: [34] [4950/5278] eta: 0:14:50 lr: 7.78041005171197e-06 loss: 0.0358 (0.0387) loss_seg: 0.0356 (0.0385) loss_lansim: 0.0204 (0.0223) loss_contra: 0.0001 (0.0014) time: 2.6838 data: 0.0056 max mem: 31630 Epoch: [34] [4960/5278] eta: 0:14:22 lr: 7.777789061289542e-06 loss: 0.0365 (0.0387) loss_seg: 0.0363 (0.0385) loss_lansim: 0.0204 (0.0223) loss_contra: 0.0001 (0.0014) time: 2.6839 data: 0.0056 max mem: 31630 Epoch: [34] [4970/5278] eta: 0:13:55 lr: 7.775167972726575e-06 loss: 0.0367 (0.0387) loss_seg: 0.0364 (0.0385) loss_lansim: 0.0202 (0.0223) loss_contra: 0.0001 (0.0014) time: 2.6873 data: 0.0056 max mem: 31630 Epoch: [34] [4980/5278] eta: 0:13:28 lr: 7.772546785982617e-06 loss: 0.0373 (0.0387) loss_seg: 0.0371 (0.0385) loss_lansim: 0.0203 (0.0223) loss_contra: 0.0001 (0.0014) time: 2.6860 data: 0.0056 max mem: 31630 Epoch: [34] [4990/5278] eta: 0:13:01 lr: 7.769925501017205e-06 loss: 0.0355 (0.0387) loss_seg: 0.0353 (0.0385) loss_lansim: 0.0204 (0.0223) loss_contra: 0.0001 (0.0014) time: 2.6835 data: 0.0056 max mem: 31630 Epoch: [34] [5000/5278] eta: 0:12:34 lr: 7.76730411778984e-06 loss: 0.0363 (0.0387) loss_seg: 0.0361 (0.0385) loss_lansim: 0.0199 (0.0223) loss_contra: 0.0001 (0.0014) time: 2.6810 data: 0.0056 max mem: 31630 Epoch: [34] [5010/5278] eta: 0:12:07 lr: 7.764682636259992e-06 loss: 0.0355 (0.0387) loss_seg: 0.0353 (0.0385) loss_lansim: 0.0198 (0.0223) loss_contra: 0.0002 (0.0014) time: 2.6815 data: 0.0057 max mem: 31630 Epoch: [34] [5020/5278] eta: 0:11:40 lr: 7.762061056387088e-06 loss: 0.0353 (0.0387) loss_seg: 0.0351 (0.0385) loss_lansim: 0.0195 (0.0223) loss_contra: 0.0002 (0.0014) time: 2.6825 data: 0.0058 max mem: 31630 Epoch: [34] [5030/5278] eta: 0:11:12 lr: 7.759439378130531e-06 loss: 0.0350 (0.0387) loss_seg: 0.0348 (0.0384) loss_lansim: 0.0198 (0.0223) loss_contra: 0.0002 (0.0014) time: 2.6832 data: 0.0058 max mem: 31630 Epoch: [34] [5040/5278] eta: 0:10:45 lr: 7.756817601449695e-06 loss: 0.0345 (0.0387) loss_seg: 0.0342 (0.0384) loss_lansim: 0.0195 (0.0222) loss_contra: 0.0002 (0.0014) time: 2.6848 data: 0.0058 max mem: 31630 Epoch: [34] [5050/5278] eta: 0:10:18 lr: 7.754195726303924e-06 loss: 0.0336 (0.0387) loss_seg: 0.0334 (0.0384) loss_lansim: 0.0194 (0.0222) loss_contra: 0.0002 (0.0014) time: 2.6858 data: 0.0058 max mem: 31630 Epoch: [34] [5060/5278] eta: 0:09:51 lr: 7.751573752652513e-06 loss: 0.0341 (0.0387) loss_seg: 0.0340 (0.0384) loss_lansim: 0.0194 (0.0222) loss_contra: 0.0001 (0.0014) time: 2.6898 data: 0.0058 max mem: 31630 Epoch: [34] [5070/5278] eta: 0:09:24 lr: 7.748951680454744e-06 loss: 0.0341 (0.0387) loss_seg: 0.0340 (0.0384) loss_lansim: 0.0195 (0.0222) loss_contra: 0.0001 (0.0014) time: 2.6922 data: 0.0058 max mem: 31630 Epoch: [34] [5080/5278] eta: 0:08:57 lr: 7.746329509669855e-06 loss: 0.0346 (0.0387) loss_seg: 0.0344 (0.0385) loss_lansim: 0.0193 (0.0222) loss_contra: 0.0001 (0.0014) time: 2.6908 data: 0.0057 max mem: 31630 Epoch: [34] [5090/5278] eta: 0:08:30 lr: 7.743707240257068e-06 loss: 0.0356 (0.0387) loss_seg: 0.0354 (0.0385) loss_lansim: 0.0193 (0.0222) loss_contra: 0.0002 (0.0014) time: 2.6905 data: 0.0057 max mem: 31630 Epoch: [34] [5100/5278] eta: 0:08:02 lr: 7.741084872175544e-06 loss: 0.0350 (0.0387) loss_seg: 0.0348 (0.0384) loss_lansim: 0.0195 (0.0222) loss_contra: 0.0001 (0.0014) time: 2.6940 data: 0.0056 max mem: 31630 Epoch: [34] [5110/5278] eta: 0:07:35 lr: 7.738462405384437e-06 loss: 0.0354 (0.0387) loss_seg: 0.0352 (0.0385) loss_lansim: 0.0195 (0.0222) loss_contra: 0.0001 (0.0014) time: 2.6942 data: 0.0055 max mem: 31630 Epoch: [34] [5120/5278] eta: 0:07:08 lr: 7.73583983984286e-06 loss: 0.0358 (0.0387) loss_seg: 0.0356 (0.0384) loss_lansim: 0.0195 (0.0222) loss_contra: 0.0001 (0.0014) time: 2.6949 data: 0.0054 max mem: 31630 Epoch: [34] [5130/5278] eta: 0:06:41 lr: 7.733217175509901e-06 loss: 0.0371 (0.0387) loss_seg: 0.0369 (0.0385) loss_lansim: 0.0193 (0.0222) loss_contra: 0.0001 (0.0014) time: 2.6968 data: 0.0054 max mem: 31630 Epoch: [34] [5140/5278] eta: 0:06:14 lr: 7.730594412344594e-06 loss: 0.0387 (0.0387) loss_seg: 0.0385 (0.0385) loss_lansim: 0.0196 (0.0222) loss_contra: 0.0001 (0.0014) time: 2.6970 data: 0.0053 max mem: 31630 Epoch: [34] [5150/5278] eta: 0:05:47 lr: 7.727971550305964e-06 loss: 0.0390 (0.0387) loss_seg: 0.0387 (0.0385) loss_lansim: 0.0198 (0.0222) loss_contra: 0.0001 (0.0014) time: 2.6971 data: 0.0054 max mem: 31630 Epoch: [34] [5160/5278] eta: 0:05:20 lr: 7.725348589352994e-06 loss: 0.0390 (0.0387) loss_seg: 0.0387 (0.0385) loss_lansim: 0.0200 (0.0222) loss_contra: 0.0001 (0.0014) time: 2.6935 data: 0.0054 max mem: 31630 Epoch: [34] [5170/5278] eta: 0:04:52 lr: 7.722725529444642e-06 loss: 0.0387 (0.0387) loss_seg: 0.0385 (0.0385) loss_lansim: 0.0201 (0.0222) loss_contra: 0.0001 (0.0014) time: 2.6901 data: 0.0054 max mem: 31630 Epoch: [34] [5180/5278] eta: 0:04:25 lr: 7.72010237053981e-06 loss: 0.0384 (0.0387) loss_seg: 0.0381 (0.0385) loss_lansim: 0.0199 (0.0222) loss_contra: 0.0001 (0.0014) time: 2.6916 data: 0.0053 max mem: 31630 Epoch: [34] [5190/5278] eta: 0:03:58 lr: 7.717479112597397e-06 loss: 0.0377 (0.0387) loss_seg: 0.0374 (0.0385) loss_lansim: 0.0200 (0.0222) loss_contra: 0.0001 (0.0014) time: 2.6921 data: 0.0053 max mem: 31630 Epoch: [34] [5200/5278] eta: 0:03:31 lr: 7.714855755576254e-06 loss: 0.0388 (0.0387) loss_seg: 0.0386 (0.0385) loss_lansim: 0.0203 (0.0222) loss_contra: 0.0001 (0.0014) time: 2.6900 data: 0.0053 max mem: 31630 Epoch: [34] [5210/5278] eta: 0:03:04 lr: 7.7122322994352e-06 loss: 0.0377 (0.0387) loss_seg: 0.0375 (0.0385) loss_lansim: 0.0203 (0.0222) loss_contra: 0.0001 (0.0014) time: 2.6888 data: 0.0053 max mem: 31630 Epoch: [34] [5220/5278] eta: 0:02:37 lr: 7.70960874413303e-06 loss: 0.0377 (0.0387) loss_seg: 0.0375 (0.0385) loss_lansim: 0.0203 (0.0222) loss_contra: 0.0001 (0.0014) time: 2.6874 data: 0.0054 max mem: 31630 Epoch: [34] [5230/5278] eta: 0:02:10 lr: 7.70698508962849e-06 loss: 0.0373 (0.0387) loss_seg: 0.0371 (0.0385) loss_lansim: 0.0203 (0.0222) loss_contra: 0.0001 (0.0014) time: 2.6861 data: 0.0054 max mem: 31630 Epoch: [34] [5240/5278] eta: 0:01:43 lr: 7.704361335880306e-06 loss: 0.0373 (0.0387) loss_seg: 0.0371 (0.0385) loss_lansim: 0.0203 (0.0222) loss_contra: 0.0001 (0.0014) time: 2.6865 data: 0.0054 max mem: 31630 Epoch: [34] [5250/5278] eta: 0:01:15 lr: 7.701737482847168e-06 loss: 0.0373 (0.0387) loss_seg: 0.0371 (0.0385) loss_lansim: 0.0203 (0.0222) loss_contra: 0.0001 (0.0014) time: 2.6878 data: 0.0054 max mem: 31630 Epoch: [34] [5260/5278] eta: 0:00:48 lr: 7.699113530487742e-06 loss: 0.0369 (0.0387) loss_seg: 0.0366 (0.0385) loss_lansim: 0.0203 (0.0222) loss_contra: 0.0001 (0.0014) time: 2.6935 data: 0.0054 max mem: 31630 Epoch: [34] [5270/5278] eta: 0:00:21 lr: 7.696489478760638e-06 loss: 0.0367 (0.0387) loss_seg: 0.0365 (0.0385) loss_lansim: 0.0201 (0.0222) loss_contra: 0.0001 (0.0014) time: 2.6965 data: 0.0054 max mem: 31630 Epoch: [34] Total time: 3:58:37 Test: [ 0/2573] eta: 1:00:02 time: 1.4003 data: 1.2436 max mem: 31630 Test: [ 100/2573] eta: 0:06:13 time: 0.1385 data: 0.0013 max mem: 31630 Test: [ 200/2573] eta: 0:05:50 time: 0.1446 data: 0.0015 max mem: 31630 Test: [ 300/2573] eta: 0:05:28 time: 0.1385 data: 0.0014 max mem: 31630 Test: [ 400/2573] eta: 0:05:12 time: 0.1407 data: 0.0015 max mem: 31630 Test: [ 500/2573] eta: 0:04:57 time: 0.1416 data: 0.0014 max mem: 31630 Test: [ 600/2573] eta: 0:04:42 time: 0.1429 data: 0.0014 max mem: 31630 Test: [ 700/2573] eta: 0:04:29 time: 0.1466 data: 0.0014 max mem: 31630 Test: [ 800/2573] eta: 0:04:14 time: 0.1438 data: 0.0014 max mem: 31630 Test: [ 900/2573] eta: 0:04:00 time: 0.1438 data: 0.0014 max mem: 31630 Test: [1000/2573] eta: 0:03:45 time: 0.1423 data: 0.0014 max mem: 31630 Test: [1100/2573] eta: 0:03:31 time: 0.1417 data: 0.0014 max mem: 31630 Test: [1200/2573] eta: 0:03:17 time: 0.1443 data: 0.0015 max mem: 31630 Test: [1300/2573] eta: 0:03:02 time: 0.1429 data: 0.0015 max mem: 31630 Test: [1400/2573] eta: 0:02:47 time: 0.1403 data: 0.0015 max mem: 31630 Test: [1500/2573] eta: 0:02:33 time: 0.1441 data: 0.0014 max mem: 31630 Test: [1600/2573] eta: 0:02:19 time: 0.1440 data: 0.0015 max mem: 31630 Test: [1700/2573] eta: 0:02:05 time: 0.1451 data: 0.0015 max mem: 31630 Test: [1800/2573] eta: 0:01:50 time: 0.1418 data: 0.0015 max mem: 31630 Test: [1900/2573] eta: 0:01:36 time: 0.1402 data: 0.0015 max mem: 31630 Test: [2000/2573] eta: 0:01:21 time: 0.1400 data: 0.0015 max mem: 31630 Test: [2100/2573] eta: 0:01:07 time: 0.1448 data: 0.0015 max mem: 31630 Test: [2200/2573] eta: 0:00:53 time: 0.1388 data: 0.0015 max mem: 31630 Test: [2300/2573] eta: 0:00:39 time: 0.1437 data: 0.0015 max mem: 31630 Test: [2400/2573] eta: 0:00:24 time: 0.1414 data: 0.0014 max mem: 31630 Test: [2500/2573] eta: 0:00:10 time: 0.1436 data: 0.0015 max mem: 31630 Test: Total time: 0:06:07 Final results: precision@0.5 = 70.45 precision@0.6 = 65.85 precision@0.7 = 59.42 precision@0.8 = 48.35 precision@0.9 = 24.63 overall IoU = 59.14 mean IoU = 62.19 Epoch: [35] [ 0/5278] eta: 6:24:25 lr: 7.694390165806406e-06 loss: 0.0606 (0.0606) loss_seg: 0.0603 (0.0603) loss_lansim: 0.0207 (0.0207) loss_contra: 0.0025 (0.0025) time: 4.3702 data: 1.4530 max mem: 31630 Epoch: [35] [ 10/5278] eta: 4:11:58 lr: 7.69176593511312e-06 loss: 0.0330 (0.0379) loss_seg: 0.0328 (0.0377) loss_lansim: 0.0205 (0.0204) loss_contra: 0.0004 (0.0007) time: 2.8700 data: 0.1366 max mem: 31630 Epoch: [35] [ 20/5278] eta: 4:05:20 lr: 7.689141604936136e-06 loss: 0.0329 (0.0357) loss_seg: 0.0327 (0.0355) loss_lansim: 0.0204 (0.0205) loss_contra: 0.0002 (0.0005) time: 2.7996 data: 0.0740 max mem: 31630 Epoch: [35] [ 30/5278] eta: 4:02:09 lr: 7.686517175233949e-06 loss: 0.0335 (0.0371) loss_seg: 0.0333 (0.0369) loss_lansim: 0.0196 (0.0202) loss_contra: 0.0003 (0.0009) time: 2.7686 data: 0.0520 max mem: 31630 Epoch: [35] [ 40/5278] eta: 3:59:58 lr: 7.683892645965036e-06 loss: 0.0335 (0.0365) loss_seg: 0.0333 (0.0363) loss_lansim: 0.0200 (0.0200) loss_contra: 0.0003 (0.0012) time: 2.7489 data: 0.0407 max mem: 31630 Epoch: [35] [ 50/5278] eta: 3:58:18 lr: 7.681268017087814e-06 loss: 0.0335 (0.0369) loss_seg: 0.0333 (0.0367) loss_lansim: 0.0196 (0.0200) loss_contra: 0.0002 (0.0014) time: 2.7350 data: 0.0339 max mem: 31630 Epoch: [35] [ 60/5278] eta: 3:56:54 lr: 7.678643288560692e-06 loss: 0.0344 (0.0377) loss_seg: 0.0342 (0.0375) loss_lansim: 0.0196 (0.0199) loss_contra: 0.0002 (0.0012) time: 2.7242 data: 0.0293 max mem: 31630 Epoch: [35] [ 70/5278] eta: 3:55:47 lr: 7.676018460342032e-06 loss: 0.0346 (0.0379) loss_seg: 0.0344 (0.0377) loss_lansim: 0.0200 (0.0200) loss_contra: 0.0002 (0.0011) time: 2.7165 data: 0.0260 max mem: 31630 Epoch: [35] [ 80/5278] eta: 3:54:48 lr: 7.673393532390178e-06 loss: 0.0344 (0.0377) loss_seg: 0.0342 (0.0374) loss_lansim: 0.0202 (0.0202) loss_contra: 0.0002 (0.0010) time: 2.7103 data: 0.0236 max mem: 31630 Epoch: [35] [ 90/5278] eta: 3:54:05 lr: 7.670768504663413e-06 loss: 0.0349 (0.0377) loss_seg: 0.0347 (0.0375) loss_lansim: 0.0201 (0.0202) loss_contra: 0.0002 (0.0009) time: 2.7073 data: 0.0216 max mem: 31630 Epoch: [35] [ 100/5278] eta: 3:53:41 lr: 7.668143377120015e-06 loss: 0.0346 (0.0381) loss_seg: 0.0344 (0.0379) loss_lansim: 0.0199 (0.0202) loss_contra: 0.0002 (0.0008) time: 2.6913 data: 0.0057 max mem: 31630 Epoch: [35] [ 110/5278] eta: 3:53:09 lr: 7.665518149718212e-06 loss: 0.0350 (0.0378) loss_seg: 0.0348 (0.0376) loss_lansim: 0.0200 (0.0203) loss_contra: 0.0001 (0.0008) time: 2.6889 data: 0.0058 max mem: 31630 Epoch: [35] [ 120/5278] eta: 3:52:32 lr: 7.662892822416215e-06 loss: 0.0352 (0.0378) loss_seg: 0.0350 (0.0376) loss_lansim: 0.0201 (0.0204) loss_contra: 0.0001 (0.0007) time: 2.6852 data: 0.0058 max mem: 31630 Epoch: [35] [ 130/5278] eta: 3:51:54 lr: 7.660267395172176e-06 loss: 0.0357 (0.0380) loss_seg: 0.0355 (0.0378) loss_lansim: 0.0201 (0.0204) loss_contra: 0.0001 (0.0008) time: 2.6825 data: 0.0057 max mem: 31630 Epoch: [35] [ 140/5278] eta: 3:51:16 lr: 7.657641867944232e-06 loss: 0.0358 (0.0380) loss_seg: 0.0356 (0.0378) loss_lansim: 0.0202 (0.0204) loss_contra: 0.0001 (0.0008) time: 2.6811 data: 0.0056 max mem: 31630 Epoch: [35] [ 150/5278] eta: 3:50:39 lr: 7.655016240690486e-06 loss: 0.0358 (0.0379) loss_seg: 0.0356 (0.0377) loss_lansim: 0.0203 (0.0205) loss_contra: 0.0001 (0.0008) time: 2.6803 data: 0.0055 max mem: 31630 Epoch: [35] [ 160/5278] eta: 3:50:02 lr: 7.652390513369011e-06 loss: 0.0357 (0.0377) loss_seg: 0.0355 (0.0375) loss_lansim: 0.0203 (0.0204) loss_contra: 0.0001 (0.0007) time: 2.6801 data: 0.0054 max mem: 31630 Epoch: [35] [ 170/5278] eta: 3:49:28 lr: 7.649764685937824e-06 loss: 0.0350 (0.0374) loss_seg: 0.0348 (0.0372) loss_lansim: 0.0202 (0.0204) loss_contra: 0.0001 (0.0007) time: 2.6806 data: 0.0053 max mem: 31630 Epoch: [35] [ 180/5278] eta: 3:49:04 lr: 7.647138758354929e-06 loss: 0.0350 (0.0372) loss_seg: 0.0348 (0.0370) loss_lansim: 0.0202 (0.0204) loss_contra: 0.0001 (0.0007) time: 2.6846 data: 0.0053 max mem: 31630 Epoch: [35] [ 190/5278] eta: 3:48:41 lr: 7.644512730578296e-06 loss: 0.0347 (0.0372) loss_seg: 0.0345 (0.0370) loss_lansim: 0.0202 (0.0205) loss_contra: 0.0001 (0.0007) time: 2.6875 data: 0.0052 max mem: 31630 Epoch: [35] [ 200/5278] eta: 3:48:10 lr: 7.64188660256586e-06 loss: 0.0347 (0.0370) loss_seg: 0.0345 (0.0368) loss_lansim: 0.0203 (0.0204) loss_contra: 0.0001 (0.0007) time: 2.6840 data: 0.0051 max mem: 31630 Epoch: [35] [ 210/5278] eta: 3:47:38 lr: 7.639260374275505e-06 loss: 0.0348 (0.0370) loss_seg: 0.0346 (0.0368) loss_lansim: 0.0199 (0.0203) loss_contra: 0.0001 (0.0006) time: 2.6819 data: 0.0051 max mem: 31630 Epoch: [35] [ 220/5278] eta: 3:47:09 lr: 7.636634045665103e-06 loss: 0.0347 (0.0370) loss_seg: 0.0345 (0.0367) loss_lansim: 0.0199 (0.0203) loss_contra: 0.0001 (0.0006) time: 2.6822 data: 0.0052 max mem: 31630 Epoch: [35] [ 230/5278] eta: 3:46:40 lr: 7.634007616692484e-06 loss: 0.0344 (0.0369) loss_seg: 0.0342 (0.0367) loss_lansim: 0.0199 (0.0203) loss_contra: 0.0001 (0.0007) time: 2.6830 data: 0.0052 max mem: 31630 Epoch: [35] [ 240/5278] eta: 3:46:11 lr: 7.631381087315447e-06 loss: 0.0343 (0.0366) loss_seg: 0.0341 (0.0364) loss_lansim: 0.0198 (0.0203) loss_contra: 0.0001 (0.0007) time: 2.6839 data: 0.0052 max mem: 31630 Epoch: [35] [ 250/5278] eta: 3:45:41 lr: 7.628754457491754e-06 loss: 0.0343 (0.0367) loss_seg: 0.0341 (0.0365) loss_lansim: 0.0197 (0.0203) loss_contra: 0.0001 (0.0007) time: 2.6851 data: 0.0052 max mem: 31630 Epoch: [35] [ 260/5278] eta: 3:45:15 lr: 7.626127727179128e-06 loss: 0.0343 (0.0367) loss_seg: 0.0341 (0.0365) loss_lansim: 0.0197 (0.0203) loss_contra: 0.0001 (0.0007) time: 2.6881 data: 0.0052 max mem: 31630 Epoch: [35] [ 270/5278] eta: 3:44:50 lr: 7.623500896335266e-06 loss: 0.0344 (0.0367) loss_seg: 0.0342 (0.0365) loss_lansim: 0.0197 (0.0203) loss_contra: 0.0001 (0.0006) time: 2.6911 data: 0.0052 max mem: 31630 Epoch: [35] [ 280/5278] eta: 3:44:24 lr: 7.620873964917828e-06 loss: 0.0349 (0.0369) loss_seg: 0.0347 (0.0367) loss_lansim: 0.0197 (0.0203) loss_contra: 0.0001 (0.0007) time: 2.6898 data: 0.0051 max mem: 31630 Epoch: [35] [ 290/5278] eta: 3:43:57 lr: 7.618246932884449e-06 loss: 0.0348 (0.0368) loss_seg: 0.0346 (0.0366) loss_lansim: 0.0197 (0.0203) loss_contra: 0.0001 (0.0007) time: 2.6882 data: 0.0051 max mem: 31630 Epoch: [35] [ 300/5278] eta: 3:43:29 lr: 7.615619800192708e-06 loss: 0.0351 (0.0368) loss_seg: 0.0349 (0.0366) loss_lansim: 0.0199 (0.0203) loss_contra: 0.0001 (0.0007) time: 2.6892 data: 0.0051 max mem: 31630 Epoch: [35] [ 310/5278] eta: 3:43:00 lr: 7.6129925668001684e-06 loss: 0.0350 (0.0369) loss_seg: 0.0348 (0.0367) loss_lansim: 0.0199 (0.0203) loss_contra: 0.0001 (0.0007) time: 2.6895 data: 0.0051 max mem: 31630 Epoch: [35] [ 320/5278] eta: 3:42:32 lr: 7.610365232664357e-06 loss: 0.0356 (0.0369) loss_seg: 0.0354 (0.0367) loss_lansim: 0.0197 (0.0203) loss_contra: 0.0001 (0.0007) time: 2.6897 data: 0.0051 max mem: 31630 Epoch: [35] [ 330/5278] eta: 3:42:04 lr: 7.6077377977427655e-06 loss: 0.0349 (0.0370) loss_seg: 0.0347 (0.0368) loss_lansim: 0.0196 (0.0202) loss_contra: 0.0001 (0.0008) time: 2.6899 data: 0.0051 max mem: 31630 Epoch: [35] [ 340/5278] eta: 3:41:35 lr: 7.605110261992843e-06 loss: 0.0357 (0.0370) loss_seg: 0.0355 (0.0368) loss_lansim: 0.0196 (0.0202) loss_contra: 0.0001 (0.0008) time: 2.6895 data: 0.0050 max mem: 31630 Epoch: [35] [ 350/5278] eta: 3:41:14 lr: 7.6024826253720105e-06 loss: 0.0356 (0.0372) loss_seg: 0.0354 (0.0370) loss_lansim: 0.0194 (0.0201) loss_contra: 0.0001 (0.0008) time: 2.6944 data: 0.0050 max mem: 31630 Epoch: [35] [ 360/5278] eta: 3:40:49 lr: 7.59985488783766e-06 loss: 0.0349 (0.0373) loss_seg: 0.0347 (0.0371) loss_lansim: 0.0196 (0.0202) loss_contra: 0.0001 (0.0008) time: 2.6959 data: 0.0050 max mem: 31630 Epoch: [35] [ 370/5278] eta: 3:40:21 lr: 7.597227049347147e-06 loss: 0.0356 (0.0372) loss_seg: 0.0354 (0.0370) loss_lansim: 0.0196 (0.0202) loss_contra: 0.0001 (0.0008) time: 2.6943 data: 0.0050 max mem: 31630 Epoch: [35] [ 380/5278] eta: 3:39:55 lr: 7.59459910985778e-06 loss: 0.0345 (0.0373) loss_seg: 0.0343 (0.0371) loss_lansim: 0.0194 (0.0202) loss_contra: 0.0001 (0.0009) time: 2.6947 data: 0.0050 max mem: 31630 Epoch: [35] [ 390/5278] eta: 3:39:27 lr: 7.5919710693268474e-06 loss: 0.0357 (0.0374) loss_seg: 0.0355 (0.0372) loss_lansim: 0.0192 (0.0201) loss_contra: 0.0002 (0.0009) time: 2.6934 data: 0.0049 max mem: 31630 Epoch: [35] [ 400/5278] eta: 3:38:57 lr: 7.589342927711597e-06 loss: 0.0356 (0.0375) loss_seg: 0.0354 (0.0372) loss_lansim: 0.0191 (0.0201) loss_contra: 0.0002 (0.0009) time: 2.6916 data: 0.0049 max mem: 31630 Epoch: [35] [ 410/5278] eta: 3:38:28 lr: 7.586714684969252e-06 loss: 0.0349 (0.0374) loss_seg: 0.0347 (0.0372) loss_lansim: 0.0191 (0.0201) loss_contra: 0.0002 (0.0009) time: 2.6915 data: 0.0049 max mem: 31630 Epoch: [35] [ 420/5278] eta: 3:38:02 lr: 7.58408634105698e-06 loss: 0.0349 (0.0373) loss_seg: 0.0347 (0.0371) loss_lansim: 0.0190 (0.0201) loss_contra: 0.0002 (0.0009) time: 2.6923 data: 0.0049 max mem: 31630 Epoch: [35] [ 430/5278] eta: 3:37:38 lr: 7.58145789593193e-06 loss: 0.0358 (0.0373) loss_seg: 0.0356 (0.0371) loss_lansim: 0.0190 (0.0200) loss_contra: 0.0002 (0.0009) time: 2.6961 data: 0.0050 max mem: 31630 Epoch: [35] [ 440/5278] eta: 3:37:15 lr: 7.578829349551216e-06 loss: 0.0357 (0.0373) loss_seg: 0.0355 (0.0371) loss_lansim: 0.0189 (0.0200) loss_contra: 0.0002 (0.0009) time: 2.7004 data: 0.0051 max mem: 31630 Epoch: [35] [ 450/5278] eta: 3:36:48 lr: 7.576200701871917e-06 loss: 0.0362 (0.0374) loss_seg: 0.0359 (0.0372) loss_lansim: 0.0192 (0.0200) loss_contra: 0.0002 (0.0010) time: 2.6967 data: 0.0052 max mem: 31630 Epoch: [35] [ 460/5278] eta: 3:36:18 lr: 7.5735719528510645e-06 loss: 0.0374 (0.0376) loss_seg: 0.0372 (0.0374) loss_lansim: 0.0188 (0.0200) loss_contra: 0.0002 (0.0010) time: 2.6927 data: 0.0053 max mem: 31630 Epoch: [35] [ 470/5278] eta: 3:35:50 lr: 7.570943102445671e-06 loss: 0.0374 (0.0375) loss_seg: 0.0372 (0.0373) loss_lansim: 0.0187 (0.0200) loss_contra: 0.0002 (0.0010) time: 2.6920 data: 0.0054 max mem: 31630 Epoch: [35] [ 480/5278] eta: 3:35:22 lr: 7.568314150612707e-06 loss: 0.0366 (0.0374) loss_seg: 0.0364 (0.0372) loss_lansim: 0.0187 (0.0200) loss_contra: 0.0002 (0.0010) time: 2.6907 data: 0.0054 max mem: 31630 Epoch: [35] [ 490/5278] eta: 3:34:55 lr: 7.565685097309111e-06 loss: 0.0359 (0.0374) loss_seg: 0.0357 (0.0372) loss_lansim: 0.0188 (0.0200) loss_contra: 0.0002 (0.0009) time: 2.6914 data: 0.0054 max mem: 31630 Epoch: [35] [ 500/5278] eta: 3:34:25 lr: 7.563055942491788e-06 loss: 0.0350 (0.0374) loss_seg: 0.0348 (0.0372) loss_lansim: 0.0188 (0.0200) loss_contra: 0.0002 (0.0009) time: 2.6899 data: 0.0054 max mem: 31630 Epoch: [35] [ 510/5278] eta: 3:33:55 lr: 7.5604266861175945e-06 loss: 0.0359 (0.0374) loss_seg: 0.0357 (0.0372) loss_lansim: 0.0188 (0.0199) loss_contra: 0.0001 (0.0009) time: 2.6888 data: 0.0055 max mem: 31630 Epoch: [35] [ 520/5278] eta: 3:33:27 lr: 7.557797328143369e-06 loss: 0.0360 (0.0374) loss_seg: 0.0358 (0.0372) loss_lansim: 0.0188 (0.0199) loss_contra: 0.0001 (0.0009) time: 2.6871 data: 0.0055 max mem: 31630 Epoch: [35] [ 530/5278] eta: 3:32:58 lr: 7.5551678685259075e-06 loss: 0.0362 (0.0373) loss_seg: 0.0360 (0.0371) loss_lansim: 0.0187 (0.0199) loss_contra: 0.0001 (0.0009) time: 2.6814 data: 0.0054 max mem: 31630 Epoch: [35] [ 540/5278] eta: 3:32:28 lr: 7.552538307221979e-06 loss: 0.0354 (0.0372) loss_seg: 0.0352 (0.0369) loss_lansim: 0.0189 (0.0199) loss_contra: 0.0002 (0.0009) time: 2.6746 data: 0.0055 max mem: 31630 Epoch: [35] [ 550/5278] eta: 3:31:58 lr: 7.549908644188295e-06 loss: 0.0350 (0.0372) loss_seg: 0.0348 (0.0370) loss_lansim: 0.0188 (0.0199) loss_contra: 0.0001 (0.0009) time: 2.6712 data: 0.0055 max mem: 31630 Epoch: [35] [ 560/5278] eta: 3:31:28 lr: 7.5472788793815586e-06 loss: 0.0345 (0.0373) loss_seg: 0.0343 (0.0371) loss_lansim: 0.0188 (0.0199) loss_contra: 0.0001 (0.0009) time: 2.6693 data: 0.0054 max mem: 31630 Epoch: [35] [ 570/5278] eta: 3:30:58 lr: 7.54464901275842e-06 loss: 0.0338 (0.0372) loss_seg: 0.0336 (0.0370) loss_lansim: 0.0189 (0.0199) loss_contra: 0.0001 (0.0009) time: 2.6661 data: 0.0054 max mem: 31630 Epoch: [35] [ 580/5278] eta: 3:30:29 lr: 7.54201904427551e-06 loss: 0.0343 (0.0371) loss_seg: 0.0342 (0.0369) loss_lansim: 0.0189 (0.0199) loss_contra: 0.0001 (0.0009) time: 2.6632 data: 0.0055 max mem: 31630 Epoch: [35] [ 590/5278] eta: 3:30:01 lr: 7.5393889738894014e-06 loss: 0.0336 (0.0371) loss_seg: 0.0334 (0.0369) loss_lansim: 0.0188 (0.0199) loss_contra: 0.0001 (0.0009) time: 2.6619 data: 0.0055 max mem: 31630 Epoch: [35] [ 600/5278] eta: 3:29:35 lr: 7.536758801556649e-06 loss: 0.0336 (0.0370) loss_seg: 0.0334 (0.0368) loss_lansim: 0.0189 (0.0199) loss_contra: 0.0001 (0.0009) time: 2.6665 data: 0.0055 max mem: 31630 Epoch: [35] [ 610/5278] eta: 3:29:09 lr: 7.53412852723377e-06 loss: 0.0339 (0.0371) loss_seg: 0.0338 (0.0369) loss_lansim: 0.0194 (0.0199) loss_contra: 0.0001 (0.0009) time: 2.6697 data: 0.0055 max mem: 31630 Epoch: [35] [ 620/5278] eta: 3:28:43 lr: 7.531498150877249e-06 loss: 0.0342 (0.0371) loss_seg: 0.0340 (0.0369) loss_lansim: 0.0194 (0.0199) loss_contra: 0.0001 (0.0009) time: 2.6711 data: 0.0055 max mem: 31630 Epoch: [35] [ 630/5278] eta: 3:28:15 lr: 7.528867672443518e-06 loss: 0.0331 (0.0372) loss_seg: 0.0329 (0.0370) loss_lansim: 0.0192 (0.0198) loss_contra: 0.0001 (0.0009) time: 2.6720 data: 0.0055 max mem: 31630 Epoch: [35] [ 640/5278] eta: 3:27:48 lr: 7.5262370918889924e-06 loss: 0.0345 (0.0372) loss_seg: 0.0343 (0.0370) loss_lansim: 0.0191 (0.0198) loss_contra: 0.0001 (0.0009) time: 2.6753 data: 0.0054 max mem: 31630 Epoch: [35] [ 650/5278] eta: 3:27:21 lr: 7.5236064091700445e-06 loss: 0.0343 (0.0372) loss_seg: 0.0341 (0.0370) loss_lansim: 0.0191 (0.0198) loss_contra: 0.0001 (0.0009) time: 2.6786 data: 0.0054 max mem: 31630 Epoch: [35] [ 660/5278] eta: 3:26:54 lr: 7.520975624243018e-06 loss: 0.0336 (0.0371) loss_seg: 0.0334 (0.0369) loss_lansim: 0.0191 (0.0198) loss_contra: 0.0001 (0.0009) time: 2.6813 data: 0.0054 max mem: 31630 Epoch: [35] [ 670/5278] eta: 3:26:26 lr: 7.518344737064202e-06 loss: 0.0343 (0.0372) loss_seg: 0.0341 (0.0370) loss_lansim: 0.0191 (0.0198) loss_contra: 0.0001 (0.0009) time: 2.6847 data: 0.0053 max mem: 31630 Epoch: [35] [ 680/5278] eta: 3:26:00 lr: 7.515713747589869e-06 loss: 0.0343 (0.0371) loss_seg: 0.0341 (0.0369) loss_lansim: 0.0191 (0.0198) loss_contra: 0.0001 (0.0008) time: 2.6887 data: 0.0053 max mem: 31630 Epoch: [35] [ 690/5278] eta: 3:25:35 lr: 7.513082655776252e-06 loss: 0.0346 (0.0372) loss_seg: 0.0344 (0.0370) loss_lansim: 0.0191 (0.0198) loss_contra: 0.0001 (0.0008) time: 2.6920 data: 0.0053 max mem: 31630 Epoch: [35] [ 700/5278] eta: 3:25:09 lr: 7.510451461579547e-06 loss: 0.0348 (0.0373) loss_seg: 0.0347 (0.0370) loss_lansim: 0.0191 (0.0198) loss_contra: 0.0001 (0.0008) time: 2.6927 data: 0.0053 max mem: 31630 Epoch: [35] [ 710/5278] eta: 3:24:43 lr: 7.507820164955903e-06 loss: 0.0348 (0.0373) loss_seg: 0.0347 (0.0371) loss_lansim: 0.0191 (0.0198) loss_contra: 0.0001 (0.0008) time: 2.6926 data: 0.0053 max mem: 31630 Epoch: [35] [ 720/5278] eta: 3:24:15 lr: 7.50518876586145e-06 loss: 0.0348 (0.0373) loss_seg: 0.0347 (0.0371) loss_lansim: 0.0191 (0.0198) loss_contra: 0.0001 (0.0008) time: 2.6910 data: 0.0053 max mem: 31630 Epoch: [35] [ 730/5278] eta: 3:23:48 lr: 7.5025572642522735e-06 loss: 0.0353 (0.0373) loss_seg: 0.0351 (0.0371) loss_lansim: 0.0192 (0.0198) loss_contra: 0.0001 (0.0008) time: 2.6913 data: 0.0053 max mem: 31630 Epoch: [35] [ 740/5278] eta: 3:23:21 lr: 7.499925660084425e-06 loss: 0.0352 (0.0372) loss_seg: 0.0350 (0.0370) loss_lansim: 0.0192 (0.0198) loss_contra: 0.0001 (0.0008) time: 2.6909 data: 0.0053 max mem: 31630 Epoch: [35] [ 750/5278] eta: 3:22:54 lr: 7.497293953313927e-06 loss: 0.0354 (0.0373) loss_seg: 0.0351 (0.0371) loss_lansim: 0.0193 (0.0198) loss_contra: 0.0001 (0.0008) time: 2.6907 data: 0.0053 max mem: 31630 Epoch: [35] [ 760/5278] eta: 3:22:27 lr: 7.494662143896745e-06 loss: 0.0364 (0.0373) loss_seg: 0.0362 (0.0370) loss_lansim: 0.0194 (0.0198) loss_contra: 0.0001 (0.0008) time: 2.6912 data: 0.0053 max mem: 31630 Epoch: [35] [ 770/5278] eta: 3:22:01 lr: 7.492030231788828e-06 loss: 0.0354 (0.0372) loss_seg: 0.0352 (0.0370) loss_lansim: 0.0194 (0.0198) loss_contra: 0.0001 (0.0008) time: 2.6940 data: 0.0053 max mem: 31630 Epoch: [35] [ 780/5278] eta: 3:21:36 lr: 7.489398216946085e-06 loss: 0.0367 (0.0373) loss_seg: 0.0365 (0.0371) loss_lansim: 0.0194 (0.0198) loss_contra: 0.0001 (0.0008) time: 2.6961 data: 0.0053 max mem: 31630 Epoch: [35] [ 790/5278] eta: 3:21:09 lr: 7.486766099324391e-06 loss: 0.0371 (0.0373) loss_seg: 0.0369 (0.0371) loss_lansim: 0.0196 (0.0198) loss_contra: 0.0001 (0.0008) time: 2.6945 data: 0.0053 max mem: 31630 Epoch: [35] [ 800/5278] eta: 3:20:42 lr: 7.484133878879568e-06 loss: 0.0366 (0.0372) loss_seg: 0.0364 (0.0370) loss_lansim: 0.0197 (0.0198) loss_contra: 0.0001 (0.0008) time: 2.6916 data: 0.0054 max mem: 31630 Epoch: [35] [ 810/5278] eta: 3:20:14 lr: 7.481501555567421e-06 loss: 0.0367 (0.0373) loss_seg: 0.0365 (0.0371) loss_lansim: 0.0197 (0.0198) loss_contra: 0.0001 (0.0008) time: 2.6901 data: 0.0054 max mem: 31630 Epoch: [35] [ 820/5278] eta: 3:19:47 lr: 7.478869129343713e-06 loss: 0.0368 (0.0374) loss_seg: 0.0367 (0.0372) loss_lansim: 0.0195 (0.0198) loss_contra: 0.0001 (0.0008) time: 2.6900 data: 0.0055 max mem: 31630 Epoch: [35] [ 830/5278] eta: 3:19:20 lr: 7.476236600164174e-06 loss: 0.0371 (0.0374) loss_seg: 0.0369 (0.0371) loss_lansim: 0.0195 (0.0198) loss_contra: 0.0001 (0.0008) time: 2.6901 data: 0.0055 max mem: 31630 Epoch: [35] [ 840/5278] eta: 3:18:53 lr: 7.473603967984484e-06 loss: 0.0371 (0.0373) loss_seg: 0.0369 (0.0371) loss_lansim: 0.0197 (0.0198) loss_contra: 0.0001 (0.0008) time: 2.6906 data: 0.0055 max mem: 31630 Epoch: [35] [ 850/5278] eta: 3:18:26 lr: 7.4709712327602984e-06 loss: 0.0367 (0.0373) loss_seg: 0.0365 (0.0371) loss_lansim: 0.0195 (0.0198) loss_contra: 0.0001 (0.0008) time: 2.6918 data: 0.0055 max mem: 31630 Epoch: [35] [ 860/5278] eta: 3:18:01 lr: 7.468338394447235e-06 loss: 0.0371 (0.0374) loss_seg: 0.0369 (0.0372) loss_lansim: 0.0193 (0.0198) loss_contra: 0.0001 (0.0008) time: 2.6951 data: 0.0055 max mem: 31630 Epoch: [35] [ 870/5278] eta: 3:17:35 lr: 7.465705453000883e-06 loss: 0.0378 (0.0373) loss_seg: 0.0376 (0.0371) loss_lansim: 0.0192 (0.0198) loss_contra: 0.0001 (0.0008) time: 2.6951 data: 0.0055 max mem: 31630 Epoch: [35] [ 880/5278] eta: 3:17:08 lr: 7.463072408376768e-06 loss: 0.0379 (0.0373) loss_seg: 0.0376 (0.0371) loss_lansim: 0.0193 (0.0198) loss_contra: 0.0001 (0.0008) time: 2.6911 data: 0.0055 max mem: 31630 Epoch: [35] [ 890/5278] eta: 3:16:40 lr: 7.460439260530408e-06 loss: 0.0368 (0.0374) loss_seg: 0.0367 (0.0372) loss_lansim: 0.0192 (0.0198) loss_contra: 0.0001 (0.0008) time: 2.6895 data: 0.0055 max mem: 31630 Epoch: [35] [ 900/5278] eta: 3:16:13 lr: 7.4578060094172705e-06 loss: 0.0391 (0.0374) loss_seg: 0.0388 (0.0372) loss_lansim: 0.0193 (0.0198) loss_contra: 0.0001 (0.0008) time: 2.6893 data: 0.0055 max mem: 31630 Epoch: [35] [ 910/5278] eta: 3:15:46 lr: 7.455172654992794e-06 loss: 0.0354 (0.0374) loss_seg: 0.0352 (0.0372) loss_lansim: 0.0192 (0.0198) loss_contra: 0.0001 (0.0008) time: 2.6896 data: 0.0055 max mem: 31630 Epoch: [35] [ 920/5278] eta: 3:15:19 lr: 7.4525391972123656e-06 loss: 0.0343 (0.0374) loss_seg: 0.0341 (0.0372) loss_lansim: 0.0194 (0.0198) loss_contra: 0.0001 (0.0007) time: 2.6906 data: 0.0054 max mem: 31630 Epoch: [35] [ 930/5278] eta: 3:14:52 lr: 7.44990563603135e-06 loss: 0.0361 (0.0374) loss_seg: 0.0359 (0.0372) loss_lansim: 0.0193 (0.0198) loss_contra: 0.0001 (0.0010) time: 2.6911 data: 0.0054 max mem: 31630 Epoch: [35] [ 940/5278] eta: 3:14:27 lr: 7.4472719714050705e-06 loss: 0.0350 (0.0373) loss_seg: 0.0348 (0.0371) loss_lansim: 0.0191 (0.0198) loss_contra: 0.0001 (0.0009) time: 2.6948 data: 0.0054 max mem: 31630 Epoch: [35] [ 950/5278] eta: 3:14:01 lr: 7.444638203288818e-06 loss: 0.0344 (0.0373) loss_seg: 0.0342 (0.0371) loss_lansim: 0.0192 (0.0198) loss_contra: 0.0001 (0.0009) time: 2.6961 data: 0.0053 max mem: 31630 Epoch: [35] [ 960/5278] eta: 3:13:34 lr: 7.442004331637833e-06 loss: 0.0333 (0.0373) loss_seg: 0.0331 (0.0371) loss_lansim: 0.0195 (0.0198) loss_contra: 0.0001 (0.0009) time: 2.6931 data: 0.0053 max mem: 31630 Epoch: [35] [ 970/5278] eta: 3:13:07 lr: 7.439370356407331e-06 loss: 0.0333 (0.0372) loss_seg: 0.0331 (0.0370) loss_lansim: 0.0198 (0.0198) loss_contra: 0.0001 (0.0009) time: 2.6901 data: 0.0054 max mem: 31630 Epoch: [35] [ 980/5278] eta: 3:12:39 lr: 7.436736277552489e-06 loss: 0.0330 (0.0372) loss_seg: 0.0328 (0.0370) loss_lansim: 0.0196 (0.0198) loss_contra: 0.0001 (0.0009) time: 2.6901 data: 0.0053 max mem: 31630 Epoch: [35] [ 990/5278] eta: 3:12:12 lr: 7.434102095028444e-06 loss: 0.0333 (0.0372) loss_seg: 0.0331 (0.0370) loss_lansim: 0.0196 (0.0198) loss_contra: 0.0001 (0.0009) time: 2.6911 data: 0.0053 max mem: 31630 Epoch: [35] [1000/5278] eta: 3:11:45 lr: 7.431467808790305e-06 loss: 0.0328 (0.0372) loss_seg: 0.0326 (0.0370) loss_lansim: 0.0196 (0.0198) loss_contra: 0.0001 (0.0010) time: 2.6920 data: 0.0053 max mem: 31630 Epoch: [35] [1010/5278] eta: 3:11:18 lr: 7.428833418793122e-06 loss: 0.0328 (0.0372) loss_seg: 0.0326 (0.0370) loss_lansim: 0.0197 (0.0198) loss_contra: 0.0001 (0.0009) time: 2.6921 data: 0.0053 max mem: 31630 Epoch: [35] [1020/5278] eta: 3:10:52 lr: 7.42619892499193e-06 loss: 0.0325 (0.0371) loss_seg: 0.0323 (0.0369) loss_lansim: 0.0194 (0.0198) loss_contra: 0.0001 (0.0009) time: 2.6934 data: 0.0053 max mem: 31630 Epoch: [35] [1030/5278] eta: 3:10:26 lr: 7.423564327341715e-06 loss: 0.0325 (0.0372) loss_seg: 0.0323 (0.0369) loss_lansim: 0.0196 (0.0198) loss_contra: 0.0001 (0.0009) time: 2.6969 data: 0.0053 max mem: 31630 Epoch: [35] [1040/5278] eta: 3:09:59 lr: 7.4209296257974415e-06 loss: 0.0345 (0.0372) loss_seg: 0.0342 (0.0370) loss_lansim: 0.0197 (0.0198) loss_contra: 0.0001 (0.0009) time: 2.6939 data: 0.0052 max mem: 31630 Epoch: [35] [1050/5278] eta: 3:09:32 lr: 7.418294820314008e-06 loss: 0.0357 (0.0373) loss_seg: 0.0355 (0.0371) loss_lansim: 0.0197 (0.0198) loss_contra: 0.0001 (0.0009) time: 2.6908 data: 0.0052 max mem: 31630 Epoch: [35] [1060/5278] eta: 3:09:05 lr: 7.4156599108463e-06 loss: 0.0359 (0.0373) loss_seg: 0.0357 (0.0371) loss_lansim: 0.0197 (0.0198) loss_contra: 0.0001 (0.0009) time: 2.6897 data: 0.0052 max mem: 31630 Epoch: [35] [1070/5278] eta: 3:08:38 lr: 7.4130248973491555e-06 loss: 0.0364 (0.0373) loss_seg: 0.0362 (0.0371) loss_lansim: 0.0197 (0.0198) loss_contra: 0.0001 (0.0009) time: 2.6897 data: 0.0052 max mem: 31630 Epoch: [35] [1080/5278] eta: 3:08:10 lr: 7.410389779777385e-06 loss: 0.0359 (0.0373) loss_seg: 0.0357 (0.0371) loss_lansim: 0.0198 (0.0198) loss_contra: 0.0001 (0.0009) time: 2.6901 data: 0.0052 max mem: 31630 Epoch: [35] [1090/5278] eta: 3:07:44 lr: 7.4077545580857445e-06 loss: 0.0362 (0.0374) loss_seg: 0.0360 (0.0372) loss_lansim: 0.0197 (0.0198) loss_contra: 0.0001 (0.0009) time: 2.6907 data: 0.0052 max mem: 31630 Epoch: [35] [1100/5278] eta: 3:07:17 lr: 7.405119232228963e-06 loss: 0.0364 (0.0374) loss_seg: 0.0362 (0.0372) loss_lansim: 0.0196 (0.0198) loss_contra: 0.0001 (0.0010) time: 2.6917 data: 0.0052 max mem: 31630 Epoch: [35] [1110/5278] eta: 3:06:51 lr: 7.4024838021617335e-06 loss: 0.0368 (0.0374) loss_seg: 0.0365 (0.0372) loss_lansim: 0.0195 (0.0198) loss_contra: 0.0002 (0.0010) time: 2.6954 data: 0.0052 max mem: 31630 Epoch: [35] [1120/5278] eta: 3:06:25 lr: 7.399848267838713e-06 loss: 0.0372 (0.0374) loss_seg: 0.0370 (0.0372) loss_lansim: 0.0195 (0.0198) loss_contra: 0.0001 (0.0010) time: 2.6955 data: 0.0052 max mem: 31630 Epoch: [35] [1130/5278] eta: 3:05:58 lr: 7.397212629214508e-06 loss: 0.0366 (0.0374) loss_seg: 0.0364 (0.0372) loss_lansim: 0.0195 (0.0198) loss_contra: 0.0002 (0.0010) time: 2.6914 data: 0.0052 max mem: 31630 Epoch: [35] [1140/5278] eta: 3:05:30 lr: 7.394576886243697e-06 loss: 0.0368 (0.0375) loss_seg: 0.0365 (0.0373) loss_lansim: 0.0197 (0.0198) loss_contra: 0.0002 (0.0010) time: 2.6902 data: 0.0052 max mem: 31630 Epoch: [35] [1150/5278] eta: 3:05:03 lr: 7.391941038880821e-06 loss: 0.0356 (0.0375) loss_seg: 0.0354 (0.0373) loss_lansim: 0.0192 (0.0198) loss_contra: 0.0002 (0.0010) time: 2.6903 data: 0.0052 max mem: 31630 Epoch: [35] [1160/5278] eta: 3:04:36 lr: 7.389305087080389e-06 loss: 0.0362 (0.0375) loss_seg: 0.0360 (0.0373) loss_lansim: 0.0192 (0.0198) loss_contra: 0.0002 (0.0010) time: 2.6911 data: 0.0052 max mem: 31630 Epoch: [35] [1170/5278] eta: 3:04:09 lr: 7.386669030796852e-06 loss: 0.0367 (0.0375) loss_seg: 0.0366 (0.0373) loss_lansim: 0.0192 (0.0198) loss_contra: 0.0002 (0.0010) time: 2.6921 data: 0.0052 max mem: 31630 Epoch: [35] [1180/5278] eta: 3:03:42 lr: 7.384032869984641e-06 loss: 0.0372 (0.0375) loss_seg: 0.0370 (0.0373) loss_lansim: 0.0191 (0.0198) loss_contra: 0.0002 (0.0010) time: 2.6917 data: 0.0052 max mem: 31630 Epoch: [35] [1190/5278] eta: 3:03:16 lr: 7.381396604598144e-06 loss: 0.0371 (0.0376) loss_seg: 0.0369 (0.0374) loss_lansim: 0.0190 (0.0198) loss_contra: 0.0002 (0.0010) time: 2.6943 data: 0.0052 max mem: 31630 Epoch: [35] [1200/5278] eta: 3:02:50 lr: 7.378760234591717e-06 loss: 0.0372 (0.0376) loss_seg: 0.0370 (0.0374) loss_lansim: 0.0192 (0.0198) loss_contra: 0.0001 (0.0010) time: 2.6967 data: 0.0052 max mem: 31630 Epoch: [35] [1210/5278] eta: 3:02:23 lr: 7.376123759919659e-06 loss: 0.0369 (0.0376) loss_seg: 0.0367 (0.0374) loss_lansim: 0.0194 (0.0198) loss_contra: 0.0001 (0.0010) time: 2.6930 data: 0.0052 max mem: 31630 Epoch: [35] [1220/5278] eta: 3:01:56 lr: 7.373487180536251e-06 loss: 0.0367 (0.0376) loss_seg: 0.0366 (0.0373) loss_lansim: 0.0195 (0.0198) loss_contra: 0.0002 (0.0010) time: 2.6907 data: 0.0052 max mem: 31630 Epoch: [35] [1230/5278] eta: 3:01:29 lr: 7.370850496395727e-06 loss: 0.0367 (0.0375) loss_seg: 0.0366 (0.0373) loss_lansim: 0.0194 (0.0198) loss_contra: 0.0001 (0.0010) time: 2.6899 data: 0.0053 max mem: 31630 Epoch: [35] [1240/5278] eta: 3:01:01 lr: 7.368213707452286e-06 loss: 0.0371 (0.0376) loss_seg: 0.0369 (0.0374) loss_lansim: 0.0194 (0.0198) loss_contra: 0.0001 (0.0010) time: 2.6883 data: 0.0053 max mem: 31630 Epoch: [35] [1250/5278] eta: 3:00:33 lr: 7.365576813660091e-06 loss: 0.0369 (0.0376) loss_seg: 0.0367 (0.0374) loss_lansim: 0.0195 (0.0198) loss_contra: 0.0001 (0.0010) time: 2.6866 data: 0.0053 max mem: 31630 Epoch: [35] [1260/5278] eta: 3:00:06 lr: 7.362939814973254e-06 loss: 0.0363 (0.0376) loss_seg: 0.0361 (0.0374) loss_lansim: 0.0195 (0.0198) loss_contra: 0.0001 (0.0010) time: 2.6843 data: 0.0053 max mem: 31630 Epoch: [35] [1270/5278] eta: 2:59:39 lr: 7.360302711345858e-06 loss: 0.0358 (0.0376) loss_seg: 0.0356 (0.0374) loss_lansim: 0.0195 (0.0198) loss_contra: 0.0001 (0.0010) time: 2.6847 data: 0.0053 max mem: 31630 Epoch: [35] [1280/5278] eta: 2:59:13 lr: 7.357665502731952e-06 loss: 0.0357 (0.0376) loss_seg: 0.0355 (0.0374) loss_lansim: 0.0195 (0.0198) loss_contra: 0.0001 (0.0010) time: 2.6886 data: 0.0054 max mem: 31630 Epoch: [35] [1290/5278] eta: 2:58:46 lr: 7.355028189085544e-06 loss: 0.0351 (0.0376) loss_seg: 0.0349 (0.0374) loss_lansim: 0.0196 (0.0198) loss_contra: 0.0001 (0.0010) time: 2.6859 data: 0.0054 max mem: 31630 Epoch: [35] [1300/5278] eta: 2:58:19 lr: 7.352390770360592e-06 loss: 0.0348 (0.0376) loss_seg: 0.0346 (0.0374) loss_lansim: 0.0196 (0.0198) loss_contra: 0.0002 (0.0010) time: 2.6829 data: 0.0055 max mem: 31630 Epoch: [35] [1310/5278] eta: 2:57:52 lr: 7.349753246511029e-06 loss: 0.0347 (0.0375) loss_seg: 0.0345 (0.0373) loss_lansim: 0.0196 (0.0198) loss_contra: 0.0002 (0.0010) time: 2.6833 data: 0.0056 max mem: 31630 Epoch: [35] [1320/5278] eta: 2:57:25 lr: 7.347115617490745e-06 loss: 0.0350 (0.0375) loss_seg: 0.0348 (0.0373) loss_lansim: 0.0198 (0.0198) loss_contra: 0.0002 (0.0010) time: 2.6832 data: 0.0056 max mem: 31630 Epoch: [35] [1330/5278] eta: 2:56:58 lr: 7.3444778832535975e-06 loss: 0.0348 (0.0375) loss_seg: 0.0346 (0.0373) loss_lansim: 0.0200 (0.0198) loss_contra: 0.0002 (0.0010) time: 2.6830 data: 0.0055 max mem: 31630 Epoch: [35] [1340/5278] eta: 2:56:30 lr: 7.341840043753387e-06 loss: 0.0348 (0.0375) loss_seg: 0.0346 (0.0373) loss_lansim: 0.0201 (0.0198) loss_contra: 0.0002 (0.0010) time: 2.6838 data: 0.0056 max mem: 31630 Epoch: [35] [1350/5278] eta: 2:56:03 lr: 7.339202098943894e-06 loss: 0.0349 (0.0375) loss_seg: 0.0347 (0.0373) loss_lansim: 0.0203 (0.0198) loss_contra: 0.0002 (0.0010) time: 2.6834 data: 0.0056 max mem: 31630 Epoch: [35] [1360/5278] eta: 2:55:37 lr: 7.336564048778853e-06 loss: 0.0347 (0.0375) loss_seg: 0.0345 (0.0373) loss_lansim: 0.0202 (0.0198) loss_contra: 0.0002 (0.0010) time: 2.6898 data: 0.0056 max mem: 31630 Epoch: [35] [1370/5278] eta: 2:55:11 lr: 7.333925893211967e-06 loss: 0.0347 (0.0375) loss_seg: 0.0345 (0.0373) loss_lansim: 0.0203 (0.0198) loss_contra: 0.0002 (0.0010) time: 2.6919 data: 0.0056 max mem: 31630 Epoch: [35] [1380/5278] eta: 2:54:43 lr: 7.33128763219688e-06 loss: 0.0349 (0.0375) loss_seg: 0.0347 (0.0373) loss_lansim: 0.0203 (0.0198) loss_contra: 0.0002 (0.0010) time: 2.6882 data: 0.0056 max mem: 31630 Epoch: [35] [1390/5278] eta: 2:54:17 lr: 7.328649265687218e-06 loss: 0.0349 (0.0375) loss_seg: 0.0347 (0.0373) loss_lansim: 0.0204 (0.0199) loss_contra: 0.0002 (0.0010) time: 2.6878 data: 0.0055 max mem: 31630 Epoch: [35] [1400/5278] eta: 2:53:50 lr: 7.326010793636561e-06 loss: 0.0349 (0.0375) loss_seg: 0.0347 (0.0373) loss_lansim: 0.0204 (0.0199) loss_contra: 0.0002 (0.0010) time: 2.6876 data: 0.0054 max mem: 31630 Epoch: [35] [1410/5278] eta: 2:53:23 lr: 7.323372215998453e-06 loss: 0.0346 (0.0374) loss_seg: 0.0344 (0.0372) loss_lansim: 0.0205 (0.0199) loss_contra: 0.0002 (0.0010) time: 2.6871 data: 0.0054 max mem: 31630 Epoch: [35] [1420/5278] eta: 2:52:55 lr: 7.320733532726387e-06 loss: 0.0334 (0.0374) loss_seg: 0.0332 (0.0372) loss_lansim: 0.0205 (0.0199) loss_contra: 0.0002 (0.0010) time: 2.6874 data: 0.0054 max mem: 31630 Epoch: [35] [1430/5278] eta: 2:52:28 lr: 7.318094743773829e-06 loss: 0.0336 (0.0374) loss_seg: 0.0334 (0.0372) loss_lansim: 0.0205 (0.0199) loss_contra: 0.0002 (0.0010) time: 2.6876 data: 0.0054 max mem: 31630 Epoch: [35] [1440/5278] eta: 2:52:01 lr: 7.3154558490942035e-06 loss: 0.0334 (0.0374) loss_seg: 0.0332 (0.0372) loss_lansim: 0.0203 (0.0199) loss_contra: 0.0002 (0.0010) time: 2.6897 data: 0.0054 max mem: 31630 Epoch: [35] [1450/5278] eta: 2:51:35 lr: 7.3128168486409e-06 loss: 0.0334 (0.0374) loss_seg: 0.0332 (0.0372) loss_lansim: 0.0202 (0.0199) loss_contra: 0.0001 (0.0010) time: 2.6956 data: 0.0053 max mem: 31630 Epoch: [35] [1460/5278] eta: 2:51:08 lr: 7.310177742367251e-06 loss: 0.0336 (0.0374) loss_seg: 0.0334 (0.0372) loss_lansim: 0.0201 (0.0199) loss_contra: 0.0001 (0.0010) time: 2.6917 data: 0.0054 max mem: 31630 Epoch: [35] [1470/5278] eta: 2:50:42 lr: 7.307538530226568e-06 loss: 0.0341 (0.0374) loss_seg: 0.0339 (0.0372) loss_lansim: 0.0203 (0.0199) loss_contra: 0.0001 (0.0010) time: 2.6893 data: 0.0053 max mem: 31630 Epoch: [35] [1480/5278] eta: 2:50:15 lr: 7.304899212172118e-06 loss: 0.0344 (0.0375) loss_seg: 0.0342 (0.0373) loss_lansim: 0.0204 (0.0199) loss_contra: 0.0001 (0.0010) time: 2.6896 data: 0.0053 max mem: 31630 Epoch: [35] [1490/5278] eta: 2:49:47 lr: 7.302259788157129e-06 loss: 0.0342 (0.0375) loss_seg: 0.0339 (0.0373) loss_lansim: 0.0204 (0.0199) loss_contra: 0.0001 (0.0010) time: 2.6884 data: 0.0053 max mem: 31630 Epoch: [35] [1500/5278] eta: 2:49:20 lr: 7.29962025813479e-06 loss: 0.0342 (0.0375) loss_seg: 0.0340 (0.0372) loss_lansim: 0.0202 (0.0199) loss_contra: 0.0001 (0.0010) time: 2.6871 data: 0.0053 max mem: 31630 Epoch: [35] [1510/5278] eta: 2:48:53 lr: 7.29698062205824e-06 loss: 0.0355 (0.0374) loss_seg: 0.0353 (0.0372) loss_lansim: 0.0202 (0.0199) loss_contra: 0.0001 (0.0010) time: 2.6858 data: 0.0053 max mem: 31630 Epoch: [35] [1520/5278] eta: 2:48:26 lr: 7.2943408798805944e-06 loss: 0.0357 (0.0374) loss_seg: 0.0354 (0.0372) loss_lansim: 0.0199 (0.0199) loss_contra: 0.0001 (0.0010) time: 2.6866 data: 0.0053 max mem: 31630 Epoch: [35] [1530/5278] eta: 2:48:00 lr: 7.2917010315549176e-06 loss: 0.0355 (0.0374) loss_seg: 0.0353 (0.0372) loss_lansim: 0.0196 (0.0199) loss_contra: 0.0001 (0.0010) time: 2.6918 data: 0.0053 max mem: 31630 Epoch: [35] [1540/5278] eta: 2:47:33 lr: 7.2890610770342485e-06 loss: 0.0355 (0.0374) loss_seg: 0.0353 (0.0372) loss_lansim: 0.0197 (0.0199) loss_contra: 0.0001 (0.0010) time: 2.6931 data: 0.0053 max mem: 31630 Epoch: [35] [1550/5278] eta: 2:47:06 lr: 7.286421016271563e-06 loss: 0.0351 (0.0374) loss_seg: 0.0349 (0.0372) loss_lansim: 0.0197 (0.0199) loss_contra: 0.0001 (0.0010) time: 2.6895 data: 0.0054 max mem: 31630 Epoch: [35] [1560/5278] eta: 2:46:39 lr: 7.283780849219817e-06 loss: 0.0364 (0.0374) loss_seg: 0.0362 (0.0372) loss_lansim: 0.0200 (0.0199) loss_contra: 0.0001 (0.0010) time: 2.6890 data: 0.0054 max mem: 31630 Epoch: [35] [1570/5278] eta: 2:46:12 lr: 7.2811405758319184e-06 loss: 0.0357 (0.0374) loss_seg: 0.0355 (0.0372) loss_lansim: 0.0196 (0.0199) loss_contra: 0.0001 (0.0010) time: 2.6870 data: 0.0054 max mem: 31630 Epoch: [35] [1580/5278] eta: 2:45:45 lr: 7.278500196060746e-06 loss: 0.0356 (0.0375) loss_seg: 0.0354 (0.0373) loss_lansim: 0.0195 (0.0199) loss_contra: 0.0001 (0.0010) time: 2.6858 data: 0.0055 max mem: 31630 Epoch: [35] [1590/5278] eta: 2:45:17 lr: 7.275859709859116e-06 loss: 0.0366 (0.0375) loss_seg: 0.0364 (0.0373) loss_lansim: 0.0196 (0.0199) loss_contra: 0.0001 (0.0010) time: 2.6861 data: 0.0056 max mem: 31630 Epoch: [35] [1600/5278] eta: 2:44:50 lr: 7.273219117179825e-06 loss: 0.0367 (0.0375) loss_seg: 0.0365 (0.0373) loss_lansim: 0.0196 (0.0199) loss_contra: 0.0001 (0.0010) time: 2.6856 data: 0.0056 max mem: 31630 Epoch: [35] [1610/5278] eta: 2:44:24 lr: 7.270578417975624e-06 loss: 0.0366 (0.0375) loss_seg: 0.0365 (0.0373) loss_lansim: 0.0196 (0.0199) loss_contra: 0.0001 (0.0010) time: 2.6890 data: 0.0056 max mem: 31630 Epoch: [35] [1620/5278] eta: 2:43:58 lr: 7.267937612199227e-06 loss: 0.0366 (0.0375) loss_seg: 0.0365 (0.0373) loss_lansim: 0.0196 (0.0199) loss_contra: 0.0001 (0.0010) time: 2.6934 data: 0.0056 max mem: 31630 Epoch: [35] [1630/5278] eta: 2:43:31 lr: 7.2652966998032936e-06 loss: 0.0370 (0.0376) loss_seg: 0.0368 (0.0374) loss_lansim: 0.0196 (0.0199) loss_contra: 0.0001 (0.0010) time: 2.6885 data: 0.0056 max mem: 31630 Epoch: [35] [1640/5278] eta: 2:43:04 lr: 7.2626556807404585e-06 loss: 0.0370 (0.0376) loss_seg: 0.0368 (0.0374) loss_lansim: 0.0196 (0.0199) loss_contra: 0.0001 (0.0010) time: 2.6873 data: 0.0056 max mem: 31630 Epoch: [35] [1650/5278] eta: 2:42:37 lr: 7.260014554963313e-06 loss: 0.0368 (0.0376) loss_seg: 0.0366 (0.0374) loss_lansim: 0.0196 (0.0199) loss_contra: 0.0001 (0.0010) time: 2.6877 data: 0.0057 max mem: 31630 Epoch: [35] [1660/5278] eta: 2:42:10 lr: 7.25737332242441e-06 loss: 0.0366 (0.0376) loss_seg: 0.0365 (0.0374) loss_lansim: 0.0196 (0.0199) loss_contra: 0.0001 (0.0010) time: 2.6883 data: 0.0057 max mem: 31630 Epoch: [35] [1670/5278] eta: 2:41:43 lr: 7.254731983076249e-06 loss: 0.0366 (0.0376) loss_seg: 0.0365 (0.0374) loss_lansim: 0.0197 (0.0199) loss_contra: 0.0001 (0.0010) time: 2.6887 data: 0.0057 max mem: 31630 Epoch: [35] [1680/5278] eta: 2:41:16 lr: 7.252090536871303e-06 loss: 0.0364 (0.0376) loss_seg: 0.0362 (0.0374) loss_lansim: 0.0199 (0.0199) loss_contra: 0.0001 (0.0011) time: 2.6884 data: 0.0056 max mem: 31630 Epoch: [35] [1690/5278] eta: 2:40:49 lr: 7.249448983762002e-06 loss: 0.0357 (0.0376) loss_seg: 0.0354 (0.0373) loss_lansim: 0.0199 (0.0199) loss_contra: 0.0001 (0.0011) time: 2.6894 data: 0.0056 max mem: 31630 Epoch: [35] [1700/5278] eta: 2:40:22 lr: 7.246807323700737e-06 loss: 0.0347 (0.0376) loss_seg: 0.0345 (0.0373) loss_lansim: 0.0198 (0.0199) loss_contra: 0.0001 (0.0011) time: 2.6938 data: 0.0056 max mem: 31630 Epoch: [35] [1710/5278] eta: 2:39:56 lr: 7.244165556639847e-06 loss: 0.0349 (0.0376) loss_seg: 0.0347 (0.0374) loss_lansim: 0.0199 (0.0199) loss_contra: 0.0001 (0.0011) time: 2.6934 data: 0.0056 max mem: 31630 Epoch: [35] [1720/5278] eta: 2:39:29 lr: 7.241523682531642e-06 loss: 0.0354 (0.0376) loss_seg: 0.0349 (0.0374) loss_lansim: 0.0203 (0.0199) loss_contra: 0.0001 (0.0011) time: 2.6893 data: 0.0056 max mem: 31630 Epoch: [35] [1730/5278] eta: 2:39:02 lr: 7.23888170132839e-06 loss: 0.0343 (0.0376) loss_seg: 0.0341 (0.0374) loss_lansim: 0.0203 (0.0199) loss_contra: 0.0001 (0.0011) time: 2.6897 data: 0.0056 max mem: 31630 Epoch: [35] [1740/5278] eta: 2:38:35 lr: 7.236239612982316e-06 loss: 0.0343 (0.0375) loss_seg: 0.0341 (0.0373) loss_lansim: 0.0205 (0.0199) loss_contra: 0.0001 (0.0011) time: 2.6879 data: 0.0056 max mem: 31630 Epoch: [35] [1750/5278] eta: 2:38:07 lr: 7.23359741744561e-06 loss: 0.0347 (0.0375) loss_seg: 0.0345 (0.0373) loss_lansim: 0.0205 (0.0199) loss_contra: 0.0001 (0.0011) time: 2.6865 data: 0.0055 max mem: 31630 Epoch: [35] [1760/5278] eta: 2:37:40 lr: 7.230955114670406e-06 loss: 0.0348 (0.0375) loss_seg: 0.0345 (0.0373) loss_lansim: 0.0205 (0.0199) loss_contra: 0.0002 (0.0011) time: 2.6853 data: 0.0056 max mem: 31630 Epoch: [35] [1770/5278] eta: 2:37:13 lr: 7.228312704608811e-06 loss: 0.0347 (0.0375) loss_seg: 0.0345 (0.0373) loss_lansim: 0.0202 (0.0200) loss_contra: 0.0002 (0.0011) time: 2.6864 data: 0.0056 max mem: 31630 Epoch: [35] [1780/5278] eta: 2:36:47 lr: 7.2256701872128895e-06 loss: 0.0347 (0.0375) loss_seg: 0.0345 (0.0373) loss_lansim: 0.0201 (0.0199) loss_contra: 0.0002 (0.0011) time: 2.6921 data: 0.0057 max mem: 31630 Epoch: [35] [1790/5278] eta: 2:36:21 lr: 7.2230275624346685e-06 loss: 0.0348 (0.0375) loss_seg: 0.0345 (0.0373) loss_lansim: 0.0202 (0.0200) loss_contra: 0.0002 (0.0011) time: 2.6962 data: 0.0056 max mem: 31630 Epoch: [35] [1800/5278] eta: 2:35:54 lr: 7.220384830226115e-06 loss: 0.0349 (0.0375) loss_seg: 0.0346 (0.0373) loss_lansim: 0.0203 (0.0200) loss_contra: 0.0002 (0.0011) time: 2.6927 data: 0.0056 max mem: 31630 Epoch: [35] [1810/5278] eta: 2:35:28 lr: 7.2177419905391776e-06 loss: 0.0349 (0.0375) loss_seg: 0.0346 (0.0373) loss_lansim: 0.0203 (0.0200) loss_contra: 0.0002 (0.0011) time: 2.6949 data: 0.0056 max mem: 31630 Epoch: [35] [1820/5278] eta: 2:35:02 lr: 7.215099043325752e-06 loss: 0.0349 (0.0375) loss_seg: 0.0346 (0.0373) loss_lansim: 0.0201 (0.0200) loss_contra: 0.0002 (0.0011) time: 2.6983 data: 0.0056 max mem: 31630 Epoch: [35] [1830/5278] eta: 2:34:34 lr: 7.212455988537703e-06 loss: 0.0349 (0.0375) loss_seg: 0.0346 (0.0373) loss_lansim: 0.0204 (0.0200) loss_contra: 0.0002 (0.0011) time: 2.6978 data: 0.0057 max mem: 31630 Epoch: [35] [1840/5278] eta: 2:34:07 lr: 7.2098128261268344e-06 loss: 0.0349 (0.0375) loss_seg: 0.0346 (0.0373) loss_lansim: 0.0202 (0.0200) loss_contra: 0.0002 (0.0011) time: 2.6982 data: 0.0057 max mem: 31630 Epoch: [35] [1850/5278] eta: 2:33:40 lr: 7.207169556044928e-06 loss: 0.0349 (0.0375) loss_seg: 0.0346 (0.0373) loss_lansim: 0.0199 (0.0200) loss_contra: 0.0002 (0.0011) time: 2.6963 data: 0.0056 max mem: 31630 Epoch: [35] [1860/5278] eta: 2:33:12 lr: 7.204526178243716e-06 loss: 0.0349 (0.0376) loss_seg: 0.0347 (0.0374) loss_lansim: 0.0203 (0.0200) loss_contra: 0.0001 (0.0011) time: 2.6926 data: 0.0055 max mem: 31630 Epoch: [35] [1870/5278] eta: 2:32:44 lr: 7.201882692674898e-06 loss: 0.0349 (0.0376) loss_seg: 0.0346 (0.0374) loss_lansim: 0.0202 (0.0200) loss_contra: 0.0001 (0.0011) time: 2.6889 data: 0.0055 max mem: 31630 Epoch: [35] [1880/5278] eta: 2:32:17 lr: 7.199239099290113e-06 loss: 0.0351 (0.0376) loss_seg: 0.0348 (0.0374) loss_lansim: 0.0203 (0.0200) loss_contra: 0.0001 (0.0011) time: 2.6809 data: 0.0054 max mem: 31630 Epoch: [35] [1890/5278] eta: 2:31:49 lr: 7.1965953980409755e-06 loss: 0.0351 (0.0376) loss_seg: 0.0348 (0.0374) loss_lansim: 0.0204 (0.0200) loss_contra: 0.0001 (0.0011) time: 2.6749 data: 0.0055 max mem: 31630 Epoch: [35] [1900/5278] eta: 2:31:22 lr: 7.193951588879055e-06 loss: 0.0342 (0.0376) loss_seg: 0.0340 (0.0373) loss_lansim: 0.0203 (0.0200) loss_contra: 0.0001 (0.0011) time: 2.6738 data: 0.0054 max mem: 31630 Epoch: [35] [1910/5278] eta: 2:30:55 lr: 7.191307671755884e-06 loss: 0.0337 (0.0376) loss_seg: 0.0335 (0.0373) loss_lansim: 0.0206 (0.0200) loss_contra: 0.0001 (0.0011) time: 2.6667 data: 0.0054 max mem: 31630 Epoch: [35] [1920/5278] eta: 2:30:27 lr: 7.188663646622935e-06 loss: 0.0349 (0.0376) loss_seg: 0.0347 (0.0374) loss_lansim: 0.0206 (0.0200) loss_contra: 0.0001 (0.0011) time: 2.6594 data: 0.0054 max mem: 31630 Epoch: [35] [1930/5278] eta: 2:30:00 lr: 7.1860195134316576e-06 loss: 0.0357 (0.0376) loss_seg: 0.0355 (0.0374) loss_lansim: 0.0203 (0.0200) loss_contra: 0.0001 (0.0011) time: 2.6580 data: 0.0053 max mem: 31630 Epoch: [35] [1940/5278] eta: 2:29:33 lr: 7.183375272133454e-06 loss: 0.0350 (0.0376) loss_seg: 0.0347 (0.0373) loss_lansim: 0.0202 (0.0200) loss_contra: 0.0002 (0.0011) time: 2.6588 data: 0.0054 max mem: 31630 Epoch: [35] [1950/5278] eta: 2:29:06 lr: 7.180730922679682e-06 loss: 0.0347 (0.0375) loss_seg: 0.0345 (0.0373) loss_lansim: 0.0203 (0.0200) loss_contra: 0.0002 (0.0011) time: 2.6618 data: 0.0054 max mem: 31630 Epoch: [35] [1960/5278] eta: 2:28:39 lr: 7.178086465021669e-06 loss: 0.0347 (0.0375) loss_seg: 0.0345 (0.0373) loss_lansim: 0.0202 (0.0200) loss_contra: 0.0002 (0.0011) time: 2.6656 data: 0.0054 max mem: 31630 Epoch: [35] [1970/5278] eta: 2:28:12 lr: 7.175441899110677e-06 loss: 0.0336 (0.0375) loss_seg: 0.0334 (0.0373) loss_lansim: 0.0202 (0.0200) loss_contra: 0.0002 (0.0011) time: 2.6692 data: 0.0055 max mem: 31630 Epoch: [35] [1980/5278] eta: 2:27:46 lr: 7.172797224897947e-06 loss: 0.0336 (0.0375) loss_seg: 0.0333 (0.0373) loss_lansim: 0.0201 (0.0200) loss_contra: 0.0002 (0.0011) time: 2.6762 data: 0.0055 max mem: 31630 Epoch: [35] [1990/5278] eta: 2:27:19 lr: 7.170152442334671e-06 loss: 0.0336 (0.0375) loss_seg: 0.0334 (0.0373) loss_lansim: 0.0201 (0.0200) loss_contra: 0.0002 (0.0011) time: 2.6813 data: 0.0055 max mem: 31630 Epoch: [35] [2000/5278] eta: 2:26:52 lr: 7.167507551372006e-06 loss: 0.0345 (0.0375) loss_seg: 0.0343 (0.0373) loss_lansim: 0.0201 (0.0200) loss_contra: 0.0002 (0.0011) time: 2.6818 data: 0.0054 max mem: 31630 Epoch: [35] [2010/5278] eta: 2:26:25 lr: 7.164862551961049e-06 loss: 0.0350 (0.0375) loss_seg: 0.0347 (0.0373) loss_lansim: 0.0201 (0.0200) loss_contra: 0.0001 (0.0011) time: 2.6845 data: 0.0055 max mem: 31630 Epoch: [35] [2020/5278] eta: 2:25:58 lr: 7.162217444052871e-06 loss: 0.0345 (0.0376) loss_seg: 0.0343 (0.0373) loss_lansim: 0.0200 (0.0200) loss_contra: 0.0001 (0.0011) time: 2.6879 data: 0.0055 max mem: 31630 Epoch: [35] [2030/5278] eta: 2:25:32 lr: 7.1595722275984976e-06 loss: 0.0344 (0.0375) loss_seg: 0.0342 (0.0373) loss_lansim: 0.0199 (0.0200) loss_contra: 0.0001 (0.0011) time: 2.6921 data: 0.0056 max mem: 31630 Epoch: [35] [2040/5278] eta: 2:25:05 lr: 7.156926902548915e-06 loss: 0.0348 (0.0375) loss_seg: 0.0346 (0.0373) loss_lansim: 0.0201 (0.0200) loss_contra: 0.0001 (0.0011) time: 2.6913 data: 0.0055 max mem: 31630 Epoch: [35] [2050/5278] eta: 2:24:38 lr: 7.154281468855052e-06 loss: 0.0350 (0.0376) loss_seg: 0.0348 (0.0373) loss_lansim: 0.0201 (0.0200) loss_contra: 0.0001 (0.0011) time: 2.6908 data: 0.0054 max mem: 31630 Epoch: [35] [2060/5278] eta: 2:24:11 lr: 7.151635926467811e-06 loss: 0.0351 (0.0376) loss_seg: 0.0349 (0.0374) loss_lansim: 0.0201 (0.0200) loss_contra: 0.0001 (0.0011) time: 2.6920 data: 0.0054 max mem: 31630 Epoch: [35] [2070/5278] eta: 2:23:44 lr: 7.148990275338047e-06 loss: 0.0351 (0.0376) loss_seg: 0.0349 (0.0374) loss_lansim: 0.0198 (0.0200) loss_contra: 0.0001 (0.0011) time: 2.6955 data: 0.0054 max mem: 31630 Epoch: [35] [2080/5278] eta: 2:23:18 lr: 7.146344515416578e-06 loss: 0.0361 (0.0376) loss_seg: 0.0359 (0.0374) loss_lansim: 0.0198 (0.0200) loss_contra: 0.0001 (0.0011) time: 2.6936 data: 0.0053 max mem: 31630 Epoch: [35] [2090/5278] eta: 2:22:51 lr: 7.143698646654164e-06 loss: 0.0358 (0.0376) loss_seg: 0.0357 (0.0373) loss_lansim: 0.0199 (0.0200) loss_contra: 0.0001 (0.0011) time: 2.6901 data: 0.0053 max mem: 31630 Epoch: [35] [2100/5278] eta: 2:22:24 lr: 7.141052669001537e-06 loss: 0.0364 (0.0375) loss_seg: 0.0362 (0.0373) loss_lansim: 0.0200 (0.0200) loss_contra: 0.0001 (0.0011) time: 2.6912 data: 0.0054 max mem: 31630 Epoch: [35] [2110/5278] eta: 2:21:57 lr: 7.138406582409381e-06 loss: 0.0364 (0.0376) loss_seg: 0.0362 (0.0373) loss_lansim: 0.0200 (0.0200) loss_contra: 0.0001 (0.0011) time: 2.6918 data: 0.0053 max mem: 31630 Epoch: [35] [2120/5278] eta: 2:21:30 lr: 7.135760386828345e-06 loss: 0.0361 (0.0375) loss_seg: 0.0359 (0.0373) loss_lansim: 0.0200 (0.0200) loss_contra: 0.0001 (0.0011) time: 2.6924 data: 0.0053 max mem: 31630 Epoch: [35] [2130/5278] eta: 2:21:03 lr: 7.133114082209017e-06 loss: 0.0358 (0.0375) loss_seg: 0.0357 (0.0373) loss_lansim: 0.0200 (0.0200) loss_contra: 0.0001 (0.0011) time: 2.6898 data: 0.0053 max mem: 31630 Epoch: [35] [2140/5278] eta: 2:20:36 lr: 7.130467668501958e-06 loss: 0.0354 (0.0375) loss_seg: 0.0351 (0.0373) loss_lansim: 0.0199 (0.0200) loss_contra: 0.0001 (0.0011) time: 2.6898 data: 0.0053 max mem: 31630 Epoch: [35] [2150/5278] eta: 2:20:09 lr: 7.127821145657683e-06 loss: 0.0346 (0.0375) loss_seg: 0.0344 (0.0373) loss_lansim: 0.0201 (0.0200) loss_contra: 0.0001 (0.0011) time: 2.6933 data: 0.0053 max mem: 31630 Epoch: [35] [2160/5278] eta: 2:19:43 lr: 7.12517451362667e-06 loss: 0.0337 (0.0374) loss_seg: 0.0334 (0.0372) loss_lansim: 0.0200 (0.0200) loss_contra: 0.0001 (0.0011) time: 2.6957 data: 0.0054 max mem: 31630 Epoch: [35] [2170/5278] eta: 2:19:16 lr: 7.122527772359333e-06 loss: 0.0337 (0.0375) loss_seg: 0.0334 (0.0372) loss_lansim: 0.0200 (0.0200) loss_contra: 0.0001 (0.0011) time: 2.6928 data: 0.0053 max mem: 31630 Epoch: [35] [2180/5278] eta: 2:18:49 lr: 7.119880921806063e-06 loss: 0.0335 (0.0374) loss_seg: 0.0333 (0.0372) loss_lansim: 0.0199 (0.0200) loss_contra: 0.0001 (0.0010) time: 2.6907 data: 0.0053 max mem: 31630 Epoch: [35] [2190/5278] eta: 2:18:22 lr: 7.1172339619172055e-06 loss: 0.0337 (0.0375) loss_seg: 0.0335 (0.0372) loss_lansim: 0.0195 (0.0200) loss_contra: 0.0001 (0.0010) time: 2.6902 data: 0.0055 max mem: 31630 Epoch: [35] [2200/5278] eta: 2:17:55 lr: 7.114586892643055e-06 loss: 0.0336 (0.0375) loss_seg: 0.0334 (0.0373) loss_lansim: 0.0195 (0.0200) loss_contra: 0.0001 (0.0010) time: 2.6886 data: 0.0054 max mem: 31630 Epoch: [35] [2210/5278] eta: 2:17:28 lr: 7.111939713933875e-06 loss: 0.0331 (0.0375) loss_seg: 0.0329 (0.0373) loss_lansim: 0.0195 (0.0200) loss_contra: 0.0001 (0.0010) time: 2.6876 data: 0.0054 max mem: 31630 Epoch: [35] [2220/5278] eta: 2:17:01 lr: 7.109292425739866e-06 loss: 0.0335 (0.0375) loss_seg: 0.0333 (0.0373) loss_lansim: 0.0195 (0.0200) loss_contra: 0.0001 (0.0010) time: 2.6874 data: 0.0055 max mem: 31630 Epoch: [35] [2230/5278] eta: 2:16:34 lr: 7.1066450280112055e-06 loss: 0.0344 (0.0375) loss_seg: 0.0341 (0.0373) loss_lansim: 0.0195 (0.0200) loss_contra: 0.0001 (0.0010) time: 2.6886 data: 0.0056 max mem: 31630 Epoch: [35] [2240/5278] eta: 2:16:08 lr: 7.103997520698015e-06 loss: 0.0353 (0.0375) loss_seg: 0.0351 (0.0373) loss_lansim: 0.0195 (0.0200) loss_contra: 0.0001 (0.0010) time: 2.6918 data: 0.0055 max mem: 31630 Epoch: [35] [2250/5278] eta: 2:15:41 lr: 7.101349903750387e-06 loss: 0.0360 (0.0375) loss_seg: 0.0358 (0.0373) loss_lansim: 0.0193 (0.0200) loss_contra: 0.0001 (0.0010) time: 2.6913 data: 0.0055 max mem: 31630 Epoch: [35] [2260/5278] eta: 2:15:14 lr: 7.0987021771183475e-06 loss: 0.0361 (0.0375) loss_seg: 0.0358 (0.0373) loss_lansim: 0.0193 (0.0200) loss_contra: 0.0001 (0.0010) time: 2.6882 data: 0.0055 max mem: 31630 Epoch: [35] [2270/5278] eta: 2:14:47 lr: 7.096054340751898e-06 loss: 0.0362 (0.0375) loss_seg: 0.0360 (0.0373) loss_lansim: 0.0196 (0.0200) loss_contra: 0.0001 (0.0010) time: 2.6873 data: 0.0055 max mem: 31630 Epoch: [35] [2280/5278] eta: 2:14:20 lr: 7.09340639460099e-06 loss: 0.0363 (0.0375) loss_seg: 0.0361 (0.0373) loss_lansim: 0.0199 (0.0200) loss_contra: 0.0001 (0.0010) time: 2.6885 data: 0.0055 max mem: 31630 Epoch: [35] [2290/5278] eta: 2:13:53 lr: 7.090758338615538e-06 loss: 0.0363 (0.0375) loss_seg: 0.0360 (0.0373) loss_lansim: 0.0199 (0.0200) loss_contra: 0.0001 (0.0010) time: 2.6894 data: 0.0054 max mem: 31630 Epoch: [35] [2300/5278] eta: 2:13:26 lr: 7.0881101727453975e-06 loss: 0.0363 (0.0375) loss_seg: 0.0360 (0.0372) loss_lansim: 0.0197 (0.0200) loss_contra: 0.0001 (0.0010) time: 2.6905 data: 0.0054 max mem: 31630 Epoch: [35] [2310/5278] eta: 2:12:59 lr: 7.085461896940393e-06 loss: 0.0363 (0.0374) loss_seg: 0.0361 (0.0372) loss_lansim: 0.0198 (0.0200) loss_contra: 0.0001 (0.0010) time: 2.6903 data: 0.0054 max mem: 31630 Epoch: [35] [2320/5278] eta: 2:12:33 lr: 7.082813511150303e-06 loss: 0.0362 (0.0374) loss_seg: 0.0360 (0.0372) loss_lansim: 0.0200 (0.0200) loss_contra: 0.0001 (0.0010) time: 2.6926 data: 0.0053 max mem: 31630 Epoch: [35] [2330/5278] eta: 2:12:06 lr: 7.080165015324868e-06 loss: 0.0361 (0.0374) loss_seg: 0.0358 (0.0372) loss_lansim: 0.0203 (0.0200) loss_contra: 0.0001 (0.0010) time: 2.6961 data: 0.0053 max mem: 31630 Epoch: [35] [2340/5278] eta: 2:11:40 lr: 7.077516409413763e-06 loss: 0.0347 (0.0374) loss_seg: 0.0345 (0.0372) loss_lansim: 0.0203 (0.0200) loss_contra: 0.0001 (0.0010) time: 2.6948 data: 0.0053 max mem: 31630 Epoch: [35] [2350/5278] eta: 2:11:13 lr: 7.074867693366642e-06 loss: 0.0347 (0.0375) loss_seg: 0.0345 (0.0373) loss_lansim: 0.0202 (0.0200) loss_contra: 0.0001 (0.0010) time: 2.6926 data: 0.0053 max mem: 31630 Epoch: [35] [2360/5278] eta: 2:10:46 lr: 7.072218867133107e-06 loss: 0.0350 (0.0375) loss_seg: 0.0348 (0.0373) loss_lansim: 0.0202 (0.0200) loss_contra: 0.0001 (0.0010) time: 2.6931 data: 0.0053 max mem: 31630 Epoch: [35] [2370/5278] eta: 2:10:19 lr: 7.069569930662721e-06 loss: 0.0361 (0.0375) loss_seg: 0.0359 (0.0373) loss_lansim: 0.0201 (0.0200) loss_contra: 0.0001 (0.0010) time: 2.6934 data: 0.0053 max mem: 31630 Epoch: [35] [2380/5278] eta: 2:09:52 lr: 7.066920883904986e-06 loss: 0.0366 (0.0375) loss_seg: 0.0364 (0.0373) loss_lansim: 0.0199 (0.0200) loss_contra: 0.0001 (0.0010) time: 2.6940 data: 0.0053 max mem: 31630 Epoch: [35] [2390/5278] eta: 2:09:25 lr: 7.064271726809378e-06 loss: 0.0347 (0.0375) loss_seg: 0.0345 (0.0373) loss_lansim: 0.0201 (0.0200) loss_contra: 0.0001 (0.0010) time: 2.6943 data: 0.0053 max mem: 31630 Epoch: [35] [2400/5278] eta: 2:08:58 lr: 7.0616224593253205e-06 loss: 0.0361 (0.0375) loss_seg: 0.0359 (0.0373) loss_lansim: 0.0203 (0.0200) loss_contra: 0.0001 (0.0010) time: 2.6933 data: 0.0053 max mem: 31630 Epoch: [35] [2410/5278] eta: 2:08:32 lr: 7.058973081402202e-06 loss: 0.0348 (0.0375) loss_seg: 0.0345 (0.0373) loss_lansim: 0.0204 (0.0200) loss_contra: 0.0001 (0.0010) time: 2.6993 data: 0.0053 max mem: 31630 Epoch: [35] [2420/5278] eta: 2:08:05 lr: 7.056323592989347e-06 loss: 0.0348 (0.0375) loss_seg: 0.0345 (0.0373) loss_lansim: 0.0202 (0.0200) loss_contra: 0.0001 (0.0010) time: 2.6999 data: 0.0054 max mem: 31630 Epoch: [35] [2430/5278] eta: 2:07:38 lr: 7.053673994036054e-06 loss: 0.0344 (0.0375) loss_seg: 0.0342 (0.0373) loss_lansim: 0.0202 (0.0200) loss_contra: 0.0001 (0.0010) time: 2.6963 data: 0.0053 max mem: 31630 Epoch: [35] [2440/5278] eta: 2:07:11 lr: 7.051024284491571e-06 loss: 0.0344 (0.0375) loss_seg: 0.0342 (0.0373) loss_lansim: 0.0204 (0.0200) loss_contra: 0.0001 (0.0010) time: 2.6948 data: 0.0054 max mem: 31630 Epoch: [35] [2450/5278] eta: 2:06:44 lr: 7.048374464305102e-06 loss: 0.0342 (0.0375) loss_seg: 0.0340 (0.0373) loss_lansim: 0.0202 (0.0200) loss_contra: 0.0001 (0.0010) time: 2.6941 data: 0.0054 max mem: 31630 Epoch: [35] [2460/5278] eta: 2:06:17 lr: 7.045724533425809e-06 loss: 0.0342 (0.0375) loss_seg: 0.0340 (0.0373) loss_lansim: 0.0202 (0.0200) loss_contra: 0.0001 (0.0011) time: 2.6926 data: 0.0054 max mem: 31630 Epoch: [35] [2470/5278] eta: 2:05:50 lr: 7.043074491802797e-06 loss: 0.0333 (0.0375) loss_seg: 0.0331 (0.0373) loss_lansim: 0.0199 (0.0200) loss_contra: 0.0001 (0.0010) time: 2.6916 data: 0.0054 max mem: 31630 Epoch: [35] [2480/5278] eta: 2:05:23 lr: 7.040424339385141e-06 loss: 0.0331 (0.0375) loss_seg: 0.0329 (0.0372) loss_lansim: 0.0204 (0.0200) loss_contra: 0.0001 (0.0010) time: 2.6906 data: 0.0054 max mem: 31630 Epoch: [35] [2490/5278] eta: 2:04:57 lr: 7.037774076121863e-06 loss: 0.0331 (0.0374) loss_seg: 0.0329 (0.0372) loss_lansim: 0.0202 (0.0200) loss_contra: 0.0001 (0.0010) time: 2.6932 data: 0.0054 max mem: 31630 Epoch: [35] [2500/5278] eta: 2:04:30 lr: 7.0351237019619525e-06 loss: 0.0328 (0.0374) loss_seg: 0.0326 (0.0372) loss_lansim: 0.0201 (0.0200) loss_contra: 0.0001 (0.0010) time: 2.6986 data: 0.0054 max mem: 31630 Epoch: [35] [2510/5278] eta: 2:04:04 lr: 7.032473216854332e-06 loss: 0.0332 (0.0375) loss_seg: 0.0330 (0.0372) loss_lansim: 0.0199 (0.0200) loss_contra: 0.0001 (0.0010) time: 2.6960 data: 0.0054 max mem: 31630 Epoch: [35] [2520/5278] eta: 2:03:37 lr: 7.029822620747897e-06 loss: 0.0328 (0.0374) loss_seg: 0.0326 (0.0372) loss_lansim: 0.0201 (0.0200) loss_contra: 0.0001 (0.0010) time: 2.6930 data: 0.0053 max mem: 31630 Epoch: [35] [2530/5278] eta: 2:03:10 lr: 7.027171913591494e-06 loss: 0.0332 (0.0374) loss_seg: 0.0330 (0.0372) loss_lansim: 0.0201 (0.0200) loss_contra: 0.0001 (0.0010) time: 2.6931 data: 0.0053 max mem: 31630 Epoch: [35] [2540/5278] eta: 2:02:43 lr: 7.024521095333926e-06 loss: 0.0332 (0.0375) loss_seg: 0.0330 (0.0372) loss_lansim: 0.0199 (0.0200) loss_contra: 0.0001 (0.0010) time: 2.6930 data: 0.0053 max mem: 31630 Epoch: [35] [2550/5278] eta: 2:02:16 lr: 7.021870165923938e-06 loss: 0.0338 (0.0375) loss_seg: 0.0335 (0.0372) loss_lansim: 0.0204 (0.0200) loss_contra: 0.0001 (0.0010) time: 2.6937 data: 0.0053 max mem: 31630 Epoch: [35] [2560/5278] eta: 2:01:49 lr: 7.019219125310249e-06 loss: 0.0332 (0.0374) loss_seg: 0.0330 (0.0372) loss_lansim: 0.0202 (0.0200) loss_contra: 0.0001 (0.0010) time: 2.6947 data: 0.0053 max mem: 31630 Epoch: [35] [2570/5278] eta: 2:01:22 lr: 7.016567973441519e-06 loss: 0.0339 (0.0375) loss_seg: 0.0336 (0.0372) loss_lansim: 0.0203 (0.0200) loss_contra: 0.0001 (0.0010) time: 2.6948 data: 0.0053 max mem: 31630 Epoch: [35] [2580/5278] eta: 2:00:55 lr: 7.0139167102663755e-06 loss: 0.0340 (0.0374) loss_seg: 0.0338 (0.0372) loss_lansim: 0.0202 (0.0200) loss_contra: 0.0001 (0.0010) time: 2.6978 data: 0.0053 max mem: 31630 Epoch: [35] [2590/5278] eta: 2:00:29 lr: 7.011265335733382e-06 loss: 0.0349 (0.0374) loss_seg: 0.0347 (0.0372) loss_lansim: 0.0202 (0.0200) loss_contra: 0.0001 (0.0010) time: 2.6982 data: 0.0053 max mem: 31630 Epoch: [35] [2600/5278] eta: 2:00:02 lr: 7.008613849791071e-06 loss: 0.0344 (0.0374) loss_seg: 0.0342 (0.0372) loss_lansim: 0.0201 (0.0200) loss_contra: 0.0001 (0.0011) time: 2.6940 data: 0.0053 max mem: 31630 Epoch: [35] [2610/5278] eta: 1:59:35 lr: 7.005962252387928e-06 loss: 0.0340 (0.0374) loss_seg: 0.0338 (0.0372) loss_lansim: 0.0201 (0.0200) loss_contra: 0.0001 (0.0010) time: 2.6926 data: 0.0054 max mem: 31630 Epoch: [35] [2620/5278] eta: 1:59:08 lr: 7.0033105434723955e-06 loss: 0.0346 (0.0374) loss_seg: 0.0344 (0.0372) loss_lansim: 0.0196 (0.0200) loss_contra: 0.0001 (0.0010) time: 2.6928 data: 0.0055 max mem: 31630 Epoch: [35] [2630/5278] eta: 1:58:41 lr: 7.0006587229928545e-06 loss: 0.0349 (0.0375) loss_seg: 0.0347 (0.0372) loss_lansim: 0.0196 (0.0200) loss_contra: 0.0001 (0.0010) time: 2.6910 data: 0.0055 max mem: 31630 Epoch: [35] [2640/5278] eta: 1:58:14 lr: 6.9980067908976584e-06 loss: 0.0349 (0.0375) loss_seg: 0.0347 (0.0372) loss_lansim: 0.0196 (0.0200) loss_contra: 0.0001 (0.0010) time: 2.6901 data: 0.0056 max mem: 31630 Epoch: [35] [2650/5278] eta: 1:57:47 lr: 6.995354747135106e-06 loss: 0.0349 (0.0374) loss_seg: 0.0347 (0.0372) loss_lansim: 0.0195 (0.0200) loss_contra: 0.0001 (0.0010) time: 2.6906 data: 0.0056 max mem: 31630 Epoch: [35] [2660/5278] eta: 1:57:20 lr: 6.99270259165346e-06 loss: 0.0352 (0.0374) loss_seg: 0.0350 (0.0372) loss_lansim: 0.0196 (0.0200) loss_contra: 0.0001 (0.0010) time: 2.6902 data: 0.0057 max mem: 31630 Epoch: [35] [2670/5278] eta: 1:56:54 lr: 6.990050324400919e-06 loss: 0.0349 (0.0374) loss_seg: 0.0347 (0.0372) loss_lansim: 0.0196 (0.0200) loss_contra: 0.0001 (0.0010) time: 2.6945 data: 0.0058 max mem: 31630 Epoch: [35] [2680/5278] eta: 1:56:27 lr: 6.987397945325652e-06 loss: 0.0349 (0.0374) loss_seg: 0.0347 (0.0372) loss_lansim: 0.0196 (0.0201) loss_contra: 0.0001 (0.0010) time: 2.6941 data: 0.0058 max mem: 31630 Epoch: [35] [2690/5278] eta: 1:56:00 lr: 6.984745454375775e-06 loss: 0.0349 (0.0374) loss_seg: 0.0346 (0.0372) loss_lansim: 0.0199 (0.0201) loss_contra: 0.0001 (0.0010) time: 2.6914 data: 0.0058 max mem: 31630 Epoch: [35] [2700/5278] eta: 1:55:33 lr: 6.982092851499362e-06 loss: 0.0352 (0.0374) loss_seg: 0.0350 (0.0372) loss_lansim: 0.0200 (0.0201) loss_contra: 0.0001 (0.0010) time: 2.6913 data: 0.0059 max mem: 31630 Epoch: [35] [2710/5278] eta: 1:55:06 lr: 6.979440136644444e-06 loss: 0.0359 (0.0374) loss_seg: 0.0357 (0.0372) loss_lansim: 0.0202 (0.0201) loss_contra: 0.0001 (0.0010) time: 2.6909 data: 0.0058 max mem: 31630 Epoch: [35] [2720/5278] eta: 1:54:39 lr: 6.976787309758989e-06 loss: 0.0363 (0.0374) loss_seg: 0.0361 (0.0372) loss_lansim: 0.0200 (0.0201) loss_contra: 0.0001 (0.0010) time: 2.6907 data: 0.0058 max mem: 31630 Epoch: [35] [2730/5278] eta: 1:54:12 lr: 6.9741343707909355e-06 loss: 0.0352 (0.0374) loss_seg: 0.0350 (0.0372) loss_lansim: 0.0200 (0.0201) loss_contra: 0.0002 (0.0011) time: 2.6924 data: 0.0058 max mem: 31630 Epoch: [35] [2740/5278] eta: 1:53:45 lr: 6.9714813196881725e-06 loss: 0.0359 (0.0374) loss_seg: 0.0357 (0.0372) loss_lansim: 0.0202 (0.0201) loss_contra: 0.0001 (0.0011) time: 2.6929 data: 0.0058 max mem: 31630 Epoch: [35] [2750/5278] eta: 1:53:19 lr: 6.968828156398545e-06 loss: 0.0368 (0.0374) loss_seg: 0.0366 (0.0372) loss_lansim: 0.0202 (0.0201) loss_contra: 0.0001 (0.0011) time: 2.6958 data: 0.0058 max mem: 31630 Epoch: [35] [2760/5278] eta: 1:52:52 lr: 6.966174880869836e-06 loss: 0.0359 (0.0374) loss_seg: 0.0357 (0.0372) loss_lansim: 0.0200 (0.0201) loss_contra: 0.0001 (0.0011) time: 2.7008 data: 0.0057 max mem: 31630 Epoch: [35] [2770/5278] eta: 1:52:25 lr: 6.9635214930498e-06 loss: 0.0364 (0.0374) loss_seg: 0.0362 (0.0372) loss_lansim: 0.0202 (0.0201) loss_contra: 0.0001 (0.0010) time: 2.6985 data: 0.0056 max mem: 31630 Epoch: [35] [2780/5278] eta: 1:51:58 lr: 6.960867992886142e-06 loss: 0.0361 (0.0374) loss_seg: 0.0359 (0.0372) loss_lansim: 0.0200 (0.0201) loss_contra: 0.0001 (0.0010) time: 2.6959 data: 0.0056 max mem: 31630 Epoch: [35] [2790/5278] eta: 1:51:32 lr: 6.958214380326518e-06 loss: 0.0359 (0.0374) loss_seg: 0.0357 (0.0372) loss_lansim: 0.0199 (0.0201) loss_contra: 0.0001 (0.0010) time: 2.6970 data: 0.0056 max mem: 31630 Epoch: [35] [2800/5278] eta: 1:51:05 lr: 6.955560655318527e-06 loss: 0.0355 (0.0374) loss_seg: 0.0353 (0.0372) loss_lansim: 0.0199 (0.0201) loss_contra: 0.0001 (0.0010) time: 2.6954 data: 0.0055 max mem: 31630 Epoch: [35] [2810/5278] eta: 1:50:38 lr: 6.9529068178097385e-06 loss: 0.0348 (0.0374) loss_seg: 0.0346 (0.0372) loss_lansim: 0.0198 (0.0201) loss_contra: 0.0001 (0.0010) time: 2.6936 data: 0.0056 max mem: 31630 Epoch: [35] [2820/5278] eta: 1:50:11 lr: 6.950252867747665e-06 loss: 0.0345 (0.0374) loss_seg: 0.0343 (0.0371) loss_lansim: 0.0198 (0.0201) loss_contra: 0.0001 (0.0010) time: 2.6947 data: 0.0056 max mem: 31630 Epoch: [35] [2830/5278] eta: 1:49:44 lr: 6.9475988050797846e-06 loss: 0.0342 (0.0374) loss_seg: 0.0340 (0.0371) loss_lansim: 0.0198 (0.0201) loss_contra: 0.0001 (0.0010) time: 2.6942 data: 0.0057 max mem: 31630 Epoch: [35] [2840/5278] eta: 1:49:17 lr: 6.9449446297535055e-06 loss: 0.0348 (0.0374) loss_seg: 0.0346 (0.0372) loss_lansim: 0.0199 (0.0201) loss_contra: 0.0001 (0.0010) time: 2.6996 data: 0.0057 max mem: 31630 Epoch: [35] [2850/5278] eta: 1:48:51 lr: 6.942290341716207e-06 loss: 0.0340 (0.0374) loss_seg: 0.0338 (0.0372) loss_lansim: 0.0199 (0.0201) loss_contra: 0.0001 (0.0011) time: 2.7000 data: 0.0056 max mem: 31630 Epoch: [35] [2860/5278] eta: 1:48:24 lr: 6.939635940915218e-06 loss: 0.0342 (0.0373) loss_seg: 0.0340 (0.0371) loss_lansim: 0.0199 (0.0201) loss_contra: 0.0001 (0.0010) time: 2.6959 data: 0.0056 max mem: 31630 Epoch: [35] [2870/5278] eta: 1:47:57 lr: 6.936981427297827e-06 loss: 0.0340 (0.0374) loss_seg: 0.0338 (0.0371) loss_lansim: 0.0201 (0.0201) loss_contra: 0.0001 (0.0010) time: 2.6957 data: 0.0056 max mem: 31630 Epoch: [35] [2880/5278] eta: 1:47:30 lr: 6.934326800811254e-06 loss: 0.0340 (0.0374) loss_seg: 0.0338 (0.0371) loss_lansim: 0.0199 (0.0201) loss_contra: 0.0001 (0.0010) time: 2.6962 data: 0.0057 max mem: 31630 Epoch: [35] [2890/5278] eta: 1:47:03 lr: 6.931672061402692e-06 loss: 0.0345 (0.0374) loss_seg: 0.0343 (0.0371) loss_lansim: 0.0199 (0.0201) loss_contra: 0.0001 (0.0010) time: 2.6945 data: 0.0056 max mem: 31630 Epoch: [35] [2900/5278] eta: 1:46:36 lr: 6.929017209019281e-06 loss: 0.0358 (0.0374) loss_seg: 0.0356 (0.0372) loss_lansim: 0.0201 (0.0201) loss_contra: 0.0001 (0.0010) time: 2.6956 data: 0.0057 max mem: 31630 Epoch: [35] [2910/5278] eta: 1:46:09 lr: 6.92636224360812e-06 loss: 0.0358 (0.0374) loss_seg: 0.0356 (0.0372) loss_lansim: 0.0206 (0.0201) loss_contra: 0.0001 (0.0010) time: 2.6959 data: 0.0057 max mem: 31630 Epoch: [35] [2920/5278] eta: 1:45:42 lr: 6.92370716511624e-06 loss: 0.0358 (0.0374) loss_seg: 0.0356 (0.0372) loss_lansim: 0.0206 (0.0201) loss_contra: 0.0001 (0.0010) time: 2.6960 data: 0.0057 max mem: 31630 Epoch: [35] [2930/5278] eta: 1:45:16 lr: 6.921051973490647e-06 loss: 0.0358 (0.0374) loss_seg: 0.0356 (0.0371) loss_lansim: 0.0207 (0.0201) loss_contra: 0.0001 (0.0010) time: 2.7003 data: 0.0057 max mem: 31630 Epoch: [35] [2940/5278] eta: 1:44:49 lr: 6.918396668678289e-06 loss: 0.0337 (0.0373) loss_seg: 0.0335 (0.0371) loss_lansim: 0.0205 (0.0201) loss_contra: 0.0001 (0.0010) time: 2.6986 data: 0.0057 max mem: 31630 Epoch: [35] [2950/5278] eta: 1:44:22 lr: 6.915741250626069e-06 loss: 0.0342 (0.0374) loss_seg: 0.0340 (0.0372) loss_lansim: 0.0202 (0.0201) loss_contra: 0.0001 (0.0010) time: 2.6967 data: 0.0058 max mem: 31630 Epoch: [35] [2960/5278] eta: 1:43:55 lr: 6.9130857192808485e-06 loss: 0.0346 (0.0373) loss_seg: 0.0343 (0.0371) loss_lansim: 0.0202 (0.0201) loss_contra: 0.0001 (0.0010) time: 2.6958 data: 0.0059 max mem: 31630 Epoch: [35] [2970/5278] eta: 1:43:28 lr: 6.910430074589422e-06 loss: 0.0341 (0.0374) loss_seg: 0.0339 (0.0371) loss_lansim: 0.0202 (0.0201) loss_contra: 0.0001 (0.0010) time: 2.6952 data: 0.0059 max mem: 31630 Epoch: [35] [2980/5278] eta: 1:43:01 lr: 6.9077743164985566e-06 loss: 0.0337 (0.0374) loss_seg: 0.0335 (0.0371) loss_lansim: 0.0204 (0.0201) loss_contra: 0.0001 (0.0010) time: 2.6953 data: 0.0059 max mem: 31630 Epoch: [35] [2990/5278] eta: 1:42:34 lr: 6.905118444954964e-06 loss: 0.0336 (0.0374) loss_seg: 0.0334 (0.0371) loss_lansim: 0.0203 (0.0201) loss_contra: 0.0001 (0.0010) time: 2.6953 data: 0.0059 max mem: 31630 Epoch: [35] [3000/5278] eta: 1:42:08 lr: 6.902462459905314e-06 loss: 0.0336 (0.0374) loss_seg: 0.0334 (0.0372) loss_lansim: 0.0203 (0.0201) loss_contra: 0.0001 (0.0010) time: 2.6962 data: 0.0058 max mem: 31630 Epoch: [35] [3010/5278] eta: 1:41:41 lr: 6.89980636129621e-06 loss: 0.0329 (0.0373) loss_seg: 0.0327 (0.0371) loss_lansim: 0.0202 (0.0201) loss_contra: 0.0001 (0.0010) time: 2.6991 data: 0.0058 max mem: 31630 Epoch: [35] [3020/5278] eta: 1:41:14 lr: 6.897150149074226e-06 loss: 0.0331 (0.0373) loss_seg: 0.0329 (0.0371) loss_lansim: 0.0202 (0.0201) loss_contra: 0.0001 (0.0010) time: 2.7020 data: 0.0058 max mem: 31630 Epoch: [35] [3030/5278] eta: 1:40:47 lr: 6.8944938231858856e-06 loss: 0.0331 (0.0373) loss_seg: 0.0329 (0.0371) loss_lansim: 0.0202 (0.0201) loss_contra: 0.0001 (0.0010) time: 2.7000 data: 0.0058 max mem: 31630 Epoch: [35] [3040/5278] eta: 1:40:20 lr: 6.8918373835776625e-06 loss: 0.0344 (0.0373) loss_seg: 0.0342 (0.0371) loss_lansim: 0.0206 (0.0201) loss_contra: 0.0001 (0.0010) time: 2.6972 data: 0.0059 max mem: 31630 Epoch: [35] [3050/5278] eta: 1:39:54 lr: 6.8891808301959706e-06 loss: 0.0344 (0.0374) loss_seg: 0.0342 (0.0371) loss_lansim: 0.0208 (0.0201) loss_contra: 0.0001 (0.0010) time: 2.6949 data: 0.0058 max mem: 31630 Epoch: [35] [3060/5278] eta: 1:39:27 lr: 6.886524162987193e-06 loss: 0.0350 (0.0374) loss_seg: 0.0347 (0.0371) loss_lansim: 0.0209 (0.0201) loss_contra: 0.0001 (0.0010) time: 2.6943 data: 0.0057 max mem: 31630 Epoch: [35] [3070/5278] eta: 1:39:00 lr: 6.883867381897656e-06 loss: 0.0350 (0.0374) loss_seg: 0.0347 (0.0372) loss_lansim: 0.0208 (0.0201) loss_contra: 0.0001 (0.0010) time: 2.6934 data: 0.0057 max mem: 31630 Epoch: [35] [3080/5278] eta: 1:38:33 lr: 6.881210486873645e-06 loss: 0.0358 (0.0374) loss_seg: 0.0355 (0.0372) loss_lansim: 0.0208 (0.0201) loss_contra: 0.0001 (0.0010) time: 2.6921 data: 0.0057 max mem: 31630 Epoch: [35] [3090/5278] eta: 1:38:06 lr: 6.878553477861377e-06 loss: 0.0350 (0.0374) loss_seg: 0.0348 (0.0372) loss_lansim: 0.0208 (0.0201) loss_contra: 0.0001 (0.0010) time: 2.6914 data: 0.0057 max mem: 31630 Epoch: [35] [3100/5278] eta: 1:37:39 lr: 6.8758963548070435e-06 loss: 0.0348 (0.0374) loss_seg: 0.0346 (0.0372) loss_lansim: 0.0208 (0.0201) loss_contra: 0.0001 (0.0010) time: 2.6950 data: 0.0058 max mem: 31630 Epoch: [35] [3110/5278] eta: 1:37:12 lr: 6.873239117656777e-06 loss: 0.0348 (0.0374) loss_seg: 0.0346 (0.0372) loss_lansim: 0.0208 (0.0201) loss_contra: 0.0001 (0.0010) time: 2.6965 data: 0.0058 max mem: 31630 Epoch: [35] [3120/5278] eta: 1:36:45 lr: 6.870581766356668e-06 loss: 0.0348 (0.0374) loss_seg: 0.0346 (0.0372) loss_lansim: 0.0207 (0.0201) loss_contra: 0.0001 (0.0010) time: 2.6920 data: 0.0058 max mem: 31630 Epoch: [35] [3130/5278] eta: 1:36:18 lr: 6.8679243008527415e-06 loss: 0.0348 (0.0373) loss_seg: 0.0346 (0.0371) loss_lansim: 0.0207 (0.0201) loss_contra: 0.0001 (0.0010) time: 2.6901 data: 0.0058 max mem: 31630 Epoch: [35] [3140/5278] eta: 1:35:51 lr: 6.865266721090992e-06 loss: 0.0350 (0.0374) loss_seg: 0.0347 (0.0372) loss_lansim: 0.0203 (0.0201) loss_contra: 0.0001 (0.0010) time: 2.6896 data: 0.0058 max mem: 31630 Epoch: [35] [3150/5278] eta: 1:35:25 lr: 6.8626090270173565e-06 loss: 0.0346 (0.0374) loss_seg: 0.0343 (0.0371) loss_lansim: 0.0202 (0.0201) loss_contra: 0.0001 (0.0010) time: 2.6921 data: 0.0059 max mem: 31630 Epoch: [35] [3160/5278] eta: 1:34:58 lr: 6.859951218577734e-06 loss: 0.0341 (0.0374) loss_seg: 0.0339 (0.0371) loss_lansim: 0.0202 (0.0202) loss_contra: 0.0001 (0.0010) time: 2.6936 data: 0.0060 max mem: 31630 Epoch: [35] [3170/5278] eta: 1:34:31 lr: 6.857293295717952e-06 loss: 0.0334 (0.0373) loss_seg: 0.0332 (0.0371) loss_lansim: 0.0202 (0.0202) loss_contra: 0.0001 (0.0010) time: 2.6916 data: 0.0059 max mem: 31630 Epoch: [35] [3180/5278] eta: 1:34:04 lr: 6.8546352583838095e-06 loss: 0.0333 (0.0373) loss_seg: 0.0331 (0.0371) loss_lansim: 0.0203 (0.0202) loss_contra: 0.0001 (0.0010) time: 2.6927 data: 0.0059 max mem: 31630 Epoch: [35] [3190/5278] eta: 1:33:37 lr: 6.85197710652105e-06 loss: 0.0334 (0.0373) loss_seg: 0.0332 (0.0371) loss_lansim: 0.0203 (0.0202) loss_contra: 0.0001 (0.0010) time: 2.6966 data: 0.0059 max mem: 31630 Epoch: [35] [3200/5278] eta: 1:33:10 lr: 6.849318840075367e-06 loss: 0.0332 (0.0373) loss_seg: 0.0330 (0.0371) loss_lansim: 0.0206 (0.0202) loss_contra: 0.0001 (0.0010) time: 2.6944 data: 0.0060 max mem: 31630 Epoch: [35] [3210/5278] eta: 1:32:43 lr: 6.846660458992411e-06 loss: 0.0329 (0.0373) loss_seg: 0.0326 (0.0371) loss_lansim: 0.0209 (0.0202) loss_contra: 0.0001 (0.0010) time: 2.6883 data: 0.0059 max mem: 31630 Epoch: [35] [3220/5278] eta: 1:32:16 lr: 6.844001963217767e-06 loss: 0.0324 (0.0373) loss_seg: 0.0322 (0.0371) loss_lansim: 0.0213 (0.0202) loss_contra: 0.0001 (0.0010) time: 2.6855 data: 0.0060 max mem: 31630 Epoch: [35] [3230/5278] eta: 1:31:49 lr: 6.841343352696984e-06 loss: 0.0324 (0.0373) loss_seg: 0.0322 (0.0371) loss_lansim: 0.0213 (0.0202) loss_contra: 0.0001 (0.0010) time: 2.6818 data: 0.0060 max mem: 31630 Epoch: [35] [3240/5278] eta: 1:31:22 lr: 6.838684627375565e-06 loss: 0.0325 (0.0373) loss_seg: 0.0322 (0.0371) loss_lansim: 0.0210 (0.0202) loss_contra: 0.0001 (0.0010) time: 2.6784 data: 0.0059 max mem: 31630 Epoch: [35] [3250/5278] eta: 1:30:55 lr: 6.836025787198958e-06 loss: 0.0325 (0.0373) loss_seg: 0.0322 (0.0371) loss_lansim: 0.0211 (0.0202) loss_contra: 0.0001 (0.0010) time: 2.6732 data: 0.0059 max mem: 31630 Epoch: [35] [3260/5278] eta: 1:30:27 lr: 6.833366832112552e-06 loss: 0.0331 (0.0373) loss_seg: 0.0328 (0.0371) loss_lansim: 0.0209 (0.0202) loss_contra: 0.0001 (0.0010) time: 2.6701 data: 0.0058 max mem: 31630 Epoch: [35] [3270/5278] eta: 1:30:00 lr: 6.8307077620617e-06 loss: 0.0332 (0.0373) loss_seg: 0.0330 (0.0371) loss_lansim: 0.0209 (0.0202) loss_contra: 0.0001 (0.0010) time: 2.6714 data: 0.0059 max mem: 31630 Epoch: [35] [3280/5278] eta: 1:29:33 lr: 6.8280485769917025e-06 loss: 0.0337 (0.0373) loss_seg: 0.0335 (0.0371) loss_lansim: 0.0208 (0.0202) loss_contra: 0.0001 (0.0010) time: 2.6705 data: 0.0059 max mem: 31630 Epoch: [35] [3290/5278] eta: 1:29:07 lr: 6.825389276847813e-06 loss: 0.0341 (0.0373) loss_seg: 0.0339 (0.0371) loss_lansim: 0.0207 (0.0202) loss_contra: 0.0001 (0.0010) time: 2.6674 data: 0.0059 max mem: 31630 Epoch: [35] [3300/5278] eta: 1:28:40 lr: 6.822729861575221e-06 loss: 0.0340 (0.0373) loss_seg: 0.0338 (0.0371) loss_lansim: 0.0207 (0.0202) loss_contra: 0.0001 (0.0010) time: 2.6664 data: 0.0058 max mem: 31630 Epoch: [35] [3310/5278] eta: 1:28:13 lr: 6.820070331119079e-06 loss: 0.0342 (0.0373) loss_seg: 0.0340 (0.0371) loss_lansim: 0.0207 (0.0202) loss_contra: 0.0001 (0.0010) time: 2.6693 data: 0.0058 max mem: 31630 Epoch: [35] [3320/5278] eta: 1:27:46 lr: 6.817410685424489e-06 loss: 0.0348 (0.0373) loss_seg: 0.0346 (0.0371) loss_lansim: 0.0207 (0.0202) loss_contra: 0.0001 (0.0010) time: 2.6715 data: 0.0057 max mem: 31630 Epoch: [35] [3330/5278] eta: 1:27:19 lr: 6.814750924436504e-06 loss: 0.0351 (0.0373) loss_seg: 0.0348 (0.0371) loss_lansim: 0.0206 (0.0202) loss_contra: 0.0001 (0.0010) time: 2.6743 data: 0.0056 max mem: 31630 Epoch: [35] [3340/5278] eta: 1:26:52 lr: 6.8120910481001135e-06 loss: 0.0344 (0.0373) loss_seg: 0.0342 (0.0371) loss_lansim: 0.0206 (0.0202) loss_contra: 0.0001 (0.0010) time: 2.6767 data: 0.0056 max mem: 31630 Epoch: [35] [3350/5278] eta: 1:26:25 lr: 6.809431056360274e-06 loss: 0.0349 (0.0373) loss_seg: 0.0347 (0.0371) loss_lansim: 0.0206 (0.0202) loss_contra: 0.0001 (0.0010) time: 2.6789 data: 0.0056 max mem: 31630 Epoch: [35] [3360/5278] eta: 1:25:58 lr: 6.806770949161883e-06 loss: 0.0349 (0.0373) loss_seg: 0.0347 (0.0371) loss_lansim: 0.0206 (0.0202) loss_contra: 0.0001 (0.0010) time: 2.6846 data: 0.0055 max mem: 31630 Epoch: [35] [3370/5278] eta: 1:25:31 lr: 6.804110726449797e-06 loss: 0.0345 (0.0373) loss_seg: 0.0343 (0.0371) loss_lansim: 0.0206 (0.0202) loss_contra: 0.0001 (0.0010) time: 2.6891 data: 0.0055 max mem: 31630 Epoch: [35] [3380/5278] eta: 1:25:05 lr: 6.801450388168801e-06 loss: 0.0344 (0.0373) loss_seg: 0.0342 (0.0371) loss_lansim: 0.0207 (0.0202) loss_contra: 0.0001 (0.0010) time: 2.6907 data: 0.0054 max mem: 31630 Epoch: [35] [3390/5278] eta: 1:24:38 lr: 6.798789934263649e-06 loss: 0.0344 (0.0373) loss_seg: 0.0342 (0.0371) loss_lansim: 0.0207 (0.0202) loss_contra: 0.0001 (0.0010) time: 2.6921 data: 0.0054 max mem: 31630 Epoch: [35] [3400/5278] eta: 1:24:11 lr: 6.796129364679041e-06 loss: 0.0344 (0.0373) loss_seg: 0.0342 (0.0371) loss_lansim: 0.0206 (0.0202) loss_contra: 0.0001 (0.0010) time: 2.6913 data: 0.0054 max mem: 31630 Epoch: [35] [3410/5278] eta: 1:23:44 lr: 6.79346867935963e-06 loss: 0.0345 (0.0373) loss_seg: 0.0343 (0.0371) loss_lansim: 0.0206 (0.0202) loss_contra: 0.0001 (0.0010) time: 2.6906 data: 0.0054 max mem: 31630 Epoch: [35] [3420/5278] eta: 1:23:17 lr: 6.7908078782499995e-06 loss: 0.0343 (0.0373) loss_seg: 0.0341 (0.0371) loss_lansim: 0.0205 (0.0202) loss_contra: 0.0001 (0.0010) time: 2.6910 data: 0.0054 max mem: 31630 Epoch: [35] [3430/5278] eta: 1:22:50 lr: 6.788146961294701e-06 loss: 0.0349 (0.0373) loss_seg: 0.0346 (0.0371) loss_lansim: 0.0207 (0.0202) loss_contra: 0.0001 (0.0010) time: 2.6917 data: 0.0054 max mem: 31630 Epoch: [35] [3440/5278] eta: 1:22:23 lr: 6.785485928438233e-06 loss: 0.0349 (0.0373) loss_seg: 0.0346 (0.0371) loss_lansim: 0.0207 (0.0202) loss_contra: 0.0001 (0.0010) time: 2.6940 data: 0.0054 max mem: 31630 Epoch: [35] [3450/5278] eta: 1:21:56 lr: 6.7828247796250365e-06 loss: 0.0348 (0.0373) loss_seg: 0.0346 (0.0371) loss_lansim: 0.0209 (0.0202) loss_contra: 0.0001 (0.0010) time: 2.6993 data: 0.0054 max mem: 31630 Epoch: [35] [3460/5278] eta: 1:21:30 lr: 6.780163514799515e-06 loss: 0.0345 (0.0373) loss_seg: 0.0343 (0.0371) loss_lansim: 0.0209 (0.0202) loss_contra: 0.0001 (0.0010) time: 2.6991 data: 0.0054 max mem: 31630 Epoch: [35] [3470/5278] eta: 1:21:03 lr: 6.777502133905996e-06 loss: 0.0348 (0.0373) loss_seg: 0.0346 (0.0371) loss_lansim: 0.0210 (0.0202) loss_contra: 0.0001 (0.0010) time: 2.6959 data: 0.0055 max mem: 31630 Epoch: [35] [3480/5278] eta: 1:20:36 lr: 6.7748406368887785e-06 loss: 0.0351 (0.0373) loss_seg: 0.0349 (0.0371) loss_lansim: 0.0210 (0.0202) loss_contra: 0.0001 (0.0010) time: 2.6957 data: 0.0055 max mem: 31630 Epoch: [35] [3490/5278] eta: 1:20:09 lr: 6.772179023692103e-06 loss: 0.0349 (0.0373) loss_seg: 0.0346 (0.0371) loss_lansim: 0.0213 (0.0203) loss_contra: 0.0001 (0.0010) time: 2.6939 data: 0.0055 max mem: 31630 Epoch: [35] [3500/5278] eta: 1:19:42 lr: 6.769517294260167e-06 loss: 0.0345 (0.0373) loss_seg: 0.0343 (0.0371) loss_lansim: 0.0213 (0.0203) loss_contra: 0.0001 (0.0010) time: 2.6935 data: 0.0055 max mem: 31630 Epoch: [35] [3510/5278] eta: 1:19:15 lr: 6.766855448537095e-06 loss: 0.0341 (0.0373) loss_seg: 0.0339 (0.0371) loss_lansim: 0.0213 (0.0203) loss_contra: 0.0001 (0.0010) time: 2.6936 data: 0.0055 max mem: 31630 Epoch: [35] [3520/5278] eta: 1:18:48 lr: 6.7641934864669784e-06 loss: 0.0341 (0.0373) loss_seg: 0.0338 (0.0370) loss_lansim: 0.0212 (0.0203) loss_contra: 0.0001 (0.0010) time: 2.6962 data: 0.0055 max mem: 31630 Epoch: [35] [3530/5278] eta: 1:18:22 lr: 6.7615314079938565e-06 loss: 0.0341 (0.0373) loss_seg: 0.0338 (0.0370) loss_lansim: 0.0211 (0.0203) loss_contra: 0.0001 (0.0010) time: 2.6996 data: 0.0055 max mem: 31630 Epoch: [35] [3540/5278] eta: 1:17:55 lr: 6.758869213061719e-06 loss: 0.0353 (0.0373) loss_seg: 0.0350 (0.0371) loss_lansim: 0.0214 (0.0203) loss_contra: 0.0001 (0.0010) time: 2.7023 data: 0.0055 max mem: 31630 Epoch: [35] [3550/5278] eta: 1:17:28 lr: 6.756206901614485e-06 loss: 0.0339 (0.0373) loss_seg: 0.0337 (0.0370) loss_lansim: 0.0211 (0.0203) loss_contra: 0.0001 (0.0010) time: 2.6997 data: 0.0055 max mem: 31630 Epoch: [35] [3560/5278] eta: 1:17:01 lr: 6.753544473596043e-06 loss: 0.0339 (0.0373) loss_seg: 0.0337 (0.0370) loss_lansim: 0.0212 (0.0203) loss_contra: 0.0001 (0.0010) time: 2.6971 data: 0.0056 max mem: 31630 Epoch: [35] [3570/5278] eta: 1:16:34 lr: 6.750881928950224e-06 loss: 0.0339 (0.0372) loss_seg: 0.0337 (0.0370) loss_lansim: 0.0211 (0.0203) loss_contra: 0.0001 (0.0010) time: 2.6978 data: 0.0055 max mem: 31630 Epoch: [35] [3580/5278] eta: 1:16:07 lr: 6.7482192676208105e-06 loss: 0.0349 (0.0373) loss_seg: 0.0347 (0.0371) loss_lansim: 0.0210 (0.0203) loss_contra: 0.0001 (0.0010) time: 2.6967 data: 0.0056 max mem: 31630 Epoch: [35] [3590/5278] eta: 1:15:40 lr: 6.7455564895515145e-06 loss: 0.0331 (0.0373) loss_seg: 0.0330 (0.0371) loss_lansim: 0.0209 (0.0203) loss_contra: 0.0001 (0.0010) time: 2.6964 data: 0.0056 max mem: 31630 Epoch: [35] [3600/5278] eta: 1:15:13 lr: 6.742893594686021e-06 loss: 0.0346 (0.0373) loss_seg: 0.0344 (0.0371) loss_lansim: 0.0208 (0.0203) loss_contra: 0.0001 (0.0010) time: 2.6963 data: 0.0056 max mem: 31630 Epoch: [35] [3610/5278] eta: 1:14:46 lr: 6.740230582967949e-06 loss: 0.0348 (0.0373) loss_seg: 0.0346 (0.0371) loss_lansim: 0.0208 (0.0203) loss_contra: 0.0001 (0.0010) time: 2.6971 data: 0.0056 max mem: 31630 Epoch: [35] [3620/5278] eta: 1:14:20 lr: 6.737567454340878e-06 loss: 0.0346 (0.0373) loss_seg: 0.0344 (0.0371) loss_lansim: 0.0210 (0.0203) loss_contra: 0.0001 (0.0010) time: 2.7001 data: 0.0057 max mem: 31630 Epoch: [35] [3630/5278] eta: 1:13:53 lr: 6.734904208748312e-06 loss: 0.0339 (0.0373) loss_seg: 0.0337 (0.0371) loss_lansim: 0.0210 (0.0203) loss_contra: 0.0001 (0.0010) time: 2.7007 data: 0.0056 max mem: 31630 Epoch: [35] [3640/5278] eta: 1:13:26 lr: 6.7322408461337235e-06 loss: 0.0338 (0.0373) loss_seg: 0.0337 (0.0371) loss_lansim: 0.0210 (0.0203) loss_contra: 0.0001 (0.0010) time: 2.6970 data: 0.0056 max mem: 31630 Epoch: [35] [3650/5278] eta: 1:12:59 lr: 6.7295773664405285e-06 loss: 0.0339 (0.0372) loss_seg: 0.0337 (0.0370) loss_lansim: 0.0210 (0.0203) loss_contra: 0.0001 (0.0010) time: 2.6951 data: 0.0056 max mem: 31630 Epoch: [35] [3660/5278] eta: 1:12:32 lr: 6.726913769612093e-06 loss: 0.0339 (0.0372) loss_seg: 0.0337 (0.0370) loss_lansim: 0.0210 (0.0203) loss_contra: 0.0001 (0.0010) time: 2.6960 data: 0.0056 max mem: 31630 Epoch: [35] [3670/5278] eta: 1:12:05 lr: 6.724250055591716e-06 loss: 0.0345 (0.0372) loss_seg: 0.0343 (0.0370) loss_lansim: 0.0210 (0.0203) loss_contra: 0.0001 (0.0010) time: 2.6965 data: 0.0057 max mem: 31630 Epoch: [35] [3680/5278] eta: 1:11:39 lr: 6.721586224322661e-06 loss: 0.0339 (0.0372) loss_seg: 0.0337 (0.0370) loss_lansim: 0.0212 (0.0203) loss_contra: 0.0001 (0.0010) time: 2.6977 data: 0.0057 max mem: 31630 Epoch: [35] [3690/5278] eta: 1:11:12 lr: 6.718922275748131e-06 loss: 0.0339 (0.0372) loss_seg: 0.0337 (0.0370) loss_lansim: 0.0213 (0.0203) loss_contra: 0.0001 (0.0010) time: 2.6982 data: 0.0057 max mem: 31630 Epoch: [35] [3700/5278] eta: 1:10:45 lr: 6.716258209811279e-06 loss: 0.0343 (0.0373) loss_seg: 0.0341 (0.0370) loss_lansim: 0.0212 (0.0203) loss_contra: 0.0001 (0.0010) time: 2.6995 data: 0.0058 max mem: 31630 Epoch: [35] [3710/5278] eta: 1:10:18 lr: 6.71359402645521e-06 loss: 0.0339 (0.0372) loss_seg: 0.0337 (0.0370) loss_lansim: 0.0212 (0.0203) loss_contra: 0.0001 (0.0010) time: 2.7055 data: 0.0058 max mem: 31630 Epoch: [35] [3720/5278] eta: 1:09:51 lr: 6.710929725622961e-06 loss: 0.0339 (0.0372) loss_seg: 0.0337 (0.0370) loss_lansim: 0.0212 (0.0203) loss_contra: 0.0001 (0.0010) time: 2.7043 data: 0.0058 max mem: 31630 Epoch: [35] [3730/5278] eta: 1:09:24 lr: 6.708265307257529e-06 loss: 0.0340 (0.0372) loss_seg: 0.0339 (0.0370) loss_lansim: 0.0213 (0.0203) loss_contra: 0.0001 (0.0010) time: 2.7011 data: 0.0059 max mem: 31630 Epoch: [35] [3740/5278] eta: 1:08:58 lr: 6.705600771301858e-06 loss: 0.0329 (0.0372) loss_seg: 0.0326 (0.0370) loss_lansim: 0.0214 (0.0203) loss_contra: 0.0001 (0.0010) time: 2.7024 data: 0.0059 max mem: 31630 Epoch: [35] [3750/5278] eta: 1:08:31 lr: 6.7029361176988406e-06 loss: 0.0336 (0.0372) loss_seg: 0.0334 (0.0370) loss_lansim: 0.0213 (0.0203) loss_contra: 0.0001 (0.0010) time: 2.7027 data: 0.0059 max mem: 31630 Epoch: [35] [3760/5278] eta: 1:08:04 lr: 6.700271346391301e-06 loss: 0.0349 (0.0373) loss_seg: 0.0347 (0.0370) loss_lansim: 0.0212 (0.0203) loss_contra: 0.0001 (0.0010) time: 2.7017 data: 0.0058 max mem: 31630 Epoch: [35] [3770/5278] eta: 1:07:37 lr: 6.697606457322027e-06 loss: 0.0340 (0.0373) loss_seg: 0.0338 (0.0371) loss_lansim: 0.0212 (0.0203) loss_contra: 0.0000 (0.0010) time: 2.7001 data: 0.0058 max mem: 31630 Epoch: [35] [3780/5278] eta: 1:07:10 lr: 6.694941450433749e-06 loss: 0.0336 (0.0373) loss_seg: 0.0334 (0.0370) loss_lansim: 0.0211 (0.0203) loss_contra: 0.0001 (0.0010) time: 2.6983 data: 0.0058 max mem: 31630 Epoch: [35] [3790/5278] eta: 1:06:43 lr: 6.692276325669149e-06 loss: 0.0352 (0.0373) loss_seg: 0.0350 (0.0371) loss_lansim: 0.0211 (0.0203) loss_contra: 0.0001 (0.0010) time: 2.7015 data: 0.0058 max mem: 31630 Epoch: [35] [3800/5278] eta: 1:06:16 lr: 6.689611082970836e-06 loss: 0.0352 (0.0373) loss_seg: 0.0350 (0.0371) loss_lansim: 0.0212 (0.0203) loss_contra: 0.0001 (0.0010) time: 2.7043 data: 0.0058 max mem: 31630 Epoch: [35] [3810/5278] eta: 1:05:49 lr: 6.686945722281385e-06 loss: 0.0354 (0.0373) loss_seg: 0.0351 (0.0371) loss_lansim: 0.0212 (0.0203) loss_contra: 0.0001 (0.0010) time: 2.6985 data: 0.0058 max mem: 31630 Epoch: [35] [3820/5278] eta: 1:05:22 lr: 6.684280243543314e-06 loss: 0.0354 (0.0373) loss_seg: 0.0351 (0.0371) loss_lansim: 0.0211 (0.0203) loss_contra: 0.0001 (0.0010) time: 2.6944 data: 0.0058 max mem: 31630 Epoch: [35] [3830/5278] eta: 1:04:56 lr: 6.681614646699093e-06 loss: 0.0353 (0.0373) loss_seg: 0.0351 (0.0371) loss_lansim: 0.0211 (0.0204) loss_contra: 0.0001 (0.0010) time: 2.6947 data: 0.0058 max mem: 31630 Epoch: [35] [3840/5278] eta: 1:04:29 lr: 6.678948931691115e-06 loss: 0.0354 (0.0373) loss_seg: 0.0353 (0.0370) loss_lansim: 0.0210 (0.0204) loss_contra: 0.0001 (0.0010) time: 2.6938 data: 0.0058 max mem: 31630 Epoch: [35] [3850/5278] eta: 1:04:02 lr: 6.6762830984617425e-06 loss: 0.0354 (0.0373) loss_seg: 0.0351 (0.0370) loss_lansim: 0.0212 (0.0204) loss_contra: 0.0001 (0.0010) time: 2.6936 data: 0.0058 max mem: 31630 Epoch: [35] [3860/5278] eta: 1:03:35 lr: 6.67361714695328e-06 loss: 0.0353 (0.0372) loss_seg: 0.0351 (0.0370) loss_lansim: 0.0213 (0.0204) loss_contra: 0.0001 (0.0010) time: 2.6935 data: 0.0058 max mem: 31630 Epoch: [35] [3870/5278] eta: 1:03:08 lr: 6.670951077107977e-06 loss: 0.0354 (0.0373) loss_seg: 0.0353 (0.0370) loss_lansim: 0.0212 (0.0204) loss_contra: 0.0002 (0.0010) time: 2.6941 data: 0.0058 max mem: 31630 Epoch: [35] [3880/5278] eta: 1:02:41 lr: 6.6682848888680194e-06 loss: 0.0361 (0.0373) loss_seg: 0.0359 (0.0370) loss_lansim: 0.0211 (0.0204) loss_contra: 0.0002 (0.0010) time: 2.7019 data: 0.0058 max mem: 31630 Epoch: [35] [3890/5278] eta: 1:02:14 lr: 6.665618582175549e-06 loss: 0.0364 (0.0373) loss_seg: 0.0362 (0.0371) loss_lansim: 0.0211 (0.0204) loss_contra: 0.0002 (0.0010) time: 2.7019 data: 0.0058 max mem: 31630 Epoch: [35] [3900/5278] eta: 1:01:48 lr: 6.662952156972656e-06 loss: 0.0352 (0.0373) loss_seg: 0.0350 (0.0371) loss_lansim: 0.0212 (0.0204) loss_contra: 0.0002 (0.0010) time: 2.7002 data: 0.0058 max mem: 31630 Epoch: [35] [3910/5278] eta: 1:01:21 lr: 6.660285613201377e-06 loss: 0.0352 (0.0373) loss_seg: 0.0350 (0.0371) loss_lansim: 0.0212 (0.0204) loss_contra: 0.0001 (0.0010) time: 2.6999 data: 0.0057 max mem: 31630 Epoch: [35] [3920/5278] eta: 1:00:54 lr: 6.657618950803677e-06 loss: 0.0361 (0.0373) loss_seg: 0.0359 (0.0371) loss_lansim: 0.0212 (0.0204) loss_contra: 0.0001 (0.0010) time: 2.6993 data: 0.0057 max mem: 31630 Epoch: [35] [3930/5278] eta: 1:00:27 lr: 6.6549521697214834e-06 loss: 0.0360 (0.0373) loss_seg: 0.0357 (0.0371) loss_lansim: 0.0213 (0.0204) loss_contra: 0.0001 (0.0010) time: 2.6975 data: 0.0056 max mem: 31630 Epoch: [35] [3940/5278] eta: 1:00:00 lr: 6.65228526989667e-06 loss: 0.0365 (0.0373) loss_seg: 0.0363 (0.0371) loss_lansim: 0.0214 (0.0204) loss_contra: 0.0001 (0.0010) time: 2.6959 data: 0.0056 max mem: 31630 Epoch: [35] [3950/5278] eta: 0:59:33 lr: 6.649618251271049e-06 loss: 0.0365 (0.0373) loss_seg: 0.0363 (0.0370) loss_lansim: 0.0212 (0.0204) loss_contra: 0.0001 (0.0010) time: 2.6949 data: 0.0056 max mem: 31630 Epoch: [35] [3960/5278] eta: 0:59:06 lr: 6.646951113786387e-06 loss: 0.0365 (0.0373) loss_seg: 0.0363 (0.0370) loss_lansim: 0.0211 (0.0204) loss_contra: 0.0001 (0.0010) time: 2.6970 data: 0.0056 max mem: 31630 Epoch: [35] [3970/5278] eta: 0:58:39 lr: 6.64428385738438e-06 loss: 0.0349 (0.0372) loss_seg: 0.0346 (0.0370) loss_lansim: 0.0210 (0.0204) loss_contra: 0.0001 (0.0010) time: 2.7008 data: 0.0057 max mem: 31630 Epoch: [35] [3980/5278] eta: 0:58:12 lr: 6.641616482006683e-06 loss: 0.0343 (0.0372) loss_seg: 0.0340 (0.0370) loss_lansim: 0.0210 (0.0204) loss_contra: 0.0001 (0.0010) time: 2.6918 data: 0.0056 max mem: 31630 Epoch: [35] [3990/5278] eta: 0:57:45 lr: 6.638948987594891e-06 loss: 0.0339 (0.0372) loss_seg: 0.0337 (0.0370) loss_lansim: 0.0208 (0.0204) loss_contra: 0.0001 (0.0010) time: 2.6839 data: 0.0056 max mem: 31630 Epoch: [35] [4000/5278] eta: 0:57:18 lr: 6.636281374090555e-06 loss: 0.0337 (0.0372) loss_seg: 0.0335 (0.0370) loss_lansim: 0.0207 (0.0204) loss_contra: 0.0001 (0.0010) time: 2.6778 data: 0.0056 max mem: 31630 Epoch: [35] [4010/5278] eta: 0:56:51 lr: 6.633613641435151e-06 loss: 0.0339 (0.0372) loss_seg: 0.0337 (0.0370) loss_lansim: 0.0207 (0.0204) loss_contra: 0.0001 (0.0010) time: 2.6736 data: 0.0055 max mem: 31630 Epoch: [35] [4020/5278] eta: 0:56:24 lr: 6.630945789570112e-06 loss: 0.0336 (0.0372) loss_seg: 0.0334 (0.0370) loss_lansim: 0.0206 (0.0204) loss_contra: 0.0001 (0.0010) time: 2.6687 data: 0.0055 max mem: 31630 Epoch: [35] [4030/5278] eta: 0:55:57 lr: 6.6282778184368195e-06 loss: 0.0344 (0.0373) loss_seg: 0.0342 (0.0370) loss_lansim: 0.0206 (0.0204) loss_contra: 0.0001 (0.0010) time: 2.6646 data: 0.0055 max mem: 31630 Epoch: [35] [4040/5278] eta: 0:55:30 lr: 6.6256097279766e-06 loss: 0.0350 (0.0373) loss_seg: 0.0347 (0.0371) loss_lansim: 0.0206 (0.0204) loss_contra: 0.0001 (0.0011) time: 2.6626 data: 0.0055 max mem: 31630 Epoch: [35] [4050/5278] eta: 0:55:03 lr: 6.62294151813071e-06 loss: 0.0350 (0.0373) loss_seg: 0.0348 (0.0371) loss_lansim: 0.0205 (0.0204) loss_contra: 0.0001 (0.0011) time: 2.6607 data: 0.0055 max mem: 31630 Epoch: [35] [4060/5278] eta: 0:54:36 lr: 6.620273188840365e-06 loss: 0.0351 (0.0373) loss_seg: 0.0349 (0.0371) loss_lansim: 0.0205 (0.0204) loss_contra: 0.0001 (0.0011) time: 2.6546 data: 0.0055 max mem: 31630 Epoch: [35] [4070/5278] eta: 0:54:09 lr: 6.617604740046722e-06 loss: 0.0360 (0.0373) loss_seg: 0.0356 (0.0371) loss_lansim: 0.0205 (0.0204) loss_contra: 0.0001 (0.0011) time: 2.6466 data: 0.0055 max mem: 31630 Epoch: [35] [4080/5278] eta: 0:53:42 lr: 6.614936171690888e-06 loss: 0.0357 (0.0373) loss_seg: 0.0352 (0.0371) loss_lansim: 0.0205 (0.0204) loss_contra: 0.0001 (0.0011) time: 2.6450 data: 0.0055 max mem: 31630 Epoch: [35] [4090/5278] eta: 0:53:15 lr: 6.612267483713898e-06 loss: 0.0360 (0.0373) loss_seg: 0.0356 (0.0371) loss_lansim: 0.0206 (0.0204) loss_contra: 0.0001 (0.0011) time: 2.6480 data: 0.0055 max mem: 31630 Epoch: [35] [4100/5278] eta: 0:52:48 lr: 6.609598676056745e-06 loss: 0.0371 (0.0373) loss_seg: 0.0369 (0.0371) loss_lansim: 0.0205 (0.0204) loss_contra: 0.0001 (0.0011) time: 2.6477 data: 0.0055 max mem: 31630 Epoch: [35] [4110/5278] eta: 0:52:21 lr: 6.606929748660367e-06 loss: 0.0368 (0.0373) loss_seg: 0.0366 (0.0371) loss_lansim: 0.0206 (0.0204) loss_contra: 0.0002 (0.0011) time: 2.6467 data: 0.0055 max mem: 31630 Epoch: [35] [4120/5278] eta: 0:51:54 lr: 6.604260701465648e-06 loss: 0.0373 (0.0373) loss_seg: 0.0371 (0.0371) loss_lansim: 0.0207 (0.0204) loss_contra: 0.0002 (0.0011) time: 2.6482 data: 0.0055 max mem: 31630 Epoch: [35] [4130/5278] eta: 0:51:27 lr: 6.6015915344133966e-06 loss: 0.0372 (0.0373) loss_seg: 0.0370 (0.0371) loss_lansim: 0.0207 (0.0204) loss_contra: 0.0001 (0.0011) time: 2.6496 data: 0.0055 max mem: 31630 Epoch: [35] [4140/5278] eta: 0:51:00 lr: 6.5989222474443894e-06 loss: 0.0360 (0.0373) loss_seg: 0.0358 (0.0371) loss_lansim: 0.0207 (0.0204) loss_contra: 0.0001 (0.0011) time: 2.6481 data: 0.0055 max mem: 31630 Epoch: [35] [4150/5278] eta: 0:50:33 lr: 6.596252840499334e-06 loss: 0.0360 (0.0373) loss_seg: 0.0358 (0.0371) loss_lansim: 0.0208 (0.0204) loss_contra: 0.0001 (0.0011) time: 2.6479 data: 0.0055 max mem: 31630 Epoch: [35] [4160/5278] eta: 0:50:06 lr: 6.593583313518895e-06 loss: 0.0368 (0.0373) loss_seg: 0.0366 (0.0371) loss_lansim: 0.0207 (0.0204) loss_contra: 0.0001 (0.0011) time: 2.6482 data: 0.0055 max mem: 31630 Epoch: [35] [4170/5278] eta: 0:49:39 lr: 6.590913666443658e-06 loss: 0.0354 (0.0373) loss_seg: 0.0351 (0.0371) loss_lansim: 0.0208 (0.0204) loss_contra: 0.0001 (0.0011) time: 2.6487 data: 0.0055 max mem: 31630 Epoch: [35] [4180/5278] eta: 0:49:12 lr: 6.588243899214173e-06 loss: 0.0352 (0.0373) loss_seg: 0.0350 (0.0371) loss_lansim: 0.0208 (0.0204) loss_contra: 0.0001 (0.0011) time: 2.6479 data: 0.0055 max mem: 31630 Epoch: [35] [4190/5278] eta: 0:48:45 lr: 6.585574011770926e-06 loss: 0.0346 (0.0373) loss_seg: 0.0344 (0.0371) loss_lansim: 0.0208 (0.0204) loss_contra: 0.0001 (0.0011) time: 2.6449 data: 0.0055 max mem: 31630 Epoch: [35] [4200/5278] eta: 0:48:18 lr: 6.582904004054348e-06 loss: 0.0344 (0.0373) loss_seg: 0.0342 (0.0371) loss_lansim: 0.0209 (0.0204) loss_contra: 0.0001 (0.0011) time: 2.6661 data: 0.0056 max mem: 31630 Epoch: [35] [4210/5278] eta: 0:47:51 lr: 6.580233876004821e-06 loss: 0.0340 (0.0373) loss_seg: 0.0337 (0.0371) loss_lansim: 0.0208 (0.0204) loss_contra: 0.0001 (0.0011) time: 2.6667 data: 0.0056 max mem: 31630 Epoch: [35] [4220/5278] eta: 0:47:24 lr: 6.5775636275626465e-06 loss: 0.0340 (0.0373) loss_seg: 0.0338 (0.0371) loss_lansim: 0.0207 (0.0204) loss_contra: 0.0001 (0.0011) time: 2.6663 data: 0.0055 max mem: 31630 Epoch: [35] [4230/5278] eta: 0:46:57 lr: 6.574893258668095e-06 loss: 0.0331 (0.0373) loss_seg: 0.0329 (0.0371) loss_lansim: 0.0206 (0.0204) loss_contra: 0.0001 (0.0011) time: 2.6653 data: 0.0056 max mem: 31630 Epoch: [35] [4240/5278] eta: 0:46:30 lr: 6.572222769261372e-06 loss: 0.0348 (0.0373) loss_seg: 0.0345 (0.0371) loss_lansim: 0.0203 (0.0204) loss_contra: 0.0001 (0.0011) time: 2.6652 data: 0.0055 max mem: 31630 Epoch: [35] [4250/5278] eta: 0:46:03 lr: 6.569552159282627e-06 loss: 0.0348 (0.0373) loss_seg: 0.0345 (0.0371) loss_lansim: 0.0203 (0.0204) loss_contra: 0.0001 (0.0011) time: 2.6641 data: 0.0055 max mem: 31630 Epoch: [35] [4260/5278] eta: 0:45:36 lr: 6.566881428671943e-06 loss: 0.0348 (0.0373) loss_seg: 0.0345 (0.0371) loss_lansim: 0.0203 (0.0204) loss_contra: 0.0001 (0.0011) time: 2.6643 data: 0.0054 max mem: 31630 Epoch: [35] [4270/5278] eta: 0:45:09 lr: 6.56421057736936e-06 loss: 0.0348 (0.0373) loss_seg: 0.0345 (0.0371) loss_lansim: 0.0203 (0.0204) loss_contra: 0.0001 (0.0011) time: 2.6632 data: 0.0054 max mem: 31630 Epoch: [35] [4280/5278] eta: 0:44:42 lr: 6.561539605314853e-06 loss: 0.0363 (0.0373) loss_seg: 0.0360 (0.0371) loss_lansim: 0.0203 (0.0204) loss_contra: 0.0001 (0.0011) time: 2.6630 data: 0.0054 max mem: 31630 Epoch: [35] [4290/5278] eta: 0:44:15 lr: 6.558868512448352e-06 loss: 0.0355 (0.0373) loss_seg: 0.0353 (0.0371) loss_lansim: 0.0204 (0.0204) loss_contra: 0.0001 (0.0011) time: 2.6627 data: 0.0054 max mem: 31630 Epoch: [35] [4300/5278] eta: 0:43:48 lr: 6.5561972987097045e-06 loss: 0.0355 (0.0373) loss_seg: 0.0353 (0.0371) loss_lansim: 0.0204 (0.0204) loss_contra: 0.0001 (0.0011) time: 2.6411 data: 0.0054 max mem: 31630 Epoch: [35] [4310/5278] eta: 0:43:21 lr: 6.553525964038724e-06 loss: 0.0368 (0.0373) loss_seg: 0.0366 (0.0371) loss_lansim: 0.0204 (0.0204) loss_contra: 0.0001 (0.0011) time: 2.6407 data: 0.0054 max mem: 31630 Epoch: [35] [4320/5278] eta: 0:42:54 lr: 6.550854508375161e-06 loss: 0.0351 (0.0373) loss_seg: 0.0349 (0.0371) loss_lansim: 0.0207 (0.0204) loss_contra: 0.0001 (0.0011) time: 2.6403 data: 0.0054 max mem: 31630 Epoch: [35] [4330/5278] eta: 0:42:27 lr: 6.54818293165871e-06 loss: 0.0352 (0.0373) loss_seg: 0.0349 (0.0371) loss_lansim: 0.0207 (0.0204) loss_contra: 0.0001 (0.0011) time: 2.6402 data: 0.0054 max mem: 31630 Epoch: [35] [4340/5278] eta: 0:42:00 lr: 6.545511233828995e-06 loss: 0.0350 (0.0373) loss_seg: 0.0348 (0.0371) loss_lansim: 0.0207 (0.0204) loss_contra: 0.0001 (0.0011) time: 2.6399 data: 0.0054 max mem: 31630 Epoch: [35] [4350/5278] eta: 0:41:33 lr: 6.542839414825598e-06 loss: 0.0350 (0.0373) loss_seg: 0.0347 (0.0371) loss_lansim: 0.0207 (0.0204) loss_contra: 0.0001 (0.0011) time: 2.6390 data: 0.0054 max mem: 31630 Epoch: [35] [4360/5278] eta: 0:41:06 lr: 6.540167474588038e-06 loss: 0.0349 (0.0373) loss_seg: 0.0346 (0.0371) loss_lansim: 0.0203 (0.0204) loss_contra: 0.0001 (0.0011) time: 2.6372 data: 0.0054 max mem: 31630 Epoch: [35] [4370/5278] eta: 0:40:39 lr: 6.537495413055782e-06 loss: 0.0345 (0.0373) loss_seg: 0.0343 (0.0371) loss_lansim: 0.0202 (0.0204) loss_contra: 0.0001 (0.0011) time: 2.6373 data: 0.0054 max mem: 31630 Epoch: [35] [4380/5278] eta: 0:40:12 lr: 6.534823230168223e-06 loss: 0.0345 (0.0373) loss_seg: 0.0343 (0.0371) loss_lansim: 0.0202 (0.0204) loss_contra: 0.0001 (0.0011) time: 2.6373 data: 0.0053 max mem: 31630 Epoch: [35] [4390/5278] eta: 0:39:45 lr: 6.532150925864711e-06 loss: 0.0343 (0.0373) loss_seg: 0.0341 (0.0371) loss_lansim: 0.0202 (0.0204) loss_contra: 0.0001 (0.0011) time: 2.6379 data: 0.0053 max mem: 31630 Epoch: [35] [4400/5278] eta: 0:39:18 lr: 6.529478500084535e-06 loss: 0.0345 (0.0373) loss_seg: 0.0343 (0.0371) loss_lansim: 0.0202 (0.0204) loss_contra: 0.0001 (0.0011) time: 2.6409 data: 0.0053 max mem: 31630 Epoch: [35] [4410/5278] eta: 0:38:52 lr: 6.52680595276693e-06 loss: 0.0339 (0.0373) loss_seg: 0.0336 (0.0371) loss_lansim: 0.0202 (0.0204) loss_contra: 0.0001 (0.0011) time: 2.6408 data: 0.0053 max mem: 31630 Epoch: [35] [4420/5278] eta: 0:38:25 lr: 6.5241332838510585e-06 loss: 0.0345 (0.0373) loss_seg: 0.0343 (0.0371) loss_lansim: 0.0201 (0.0204) loss_contra: 0.0001 (0.0011) time: 2.6408 data: 0.0053 max mem: 31630 Epoch: [35] [4430/5278] eta: 0:37:58 lr: 6.521460493276035e-06 loss: 0.0332 (0.0373) loss_seg: 0.0330 (0.0371) loss_lansim: 0.0202 (0.0204) loss_contra: 0.0001 (0.0011) time: 2.6409 data: 0.0053 max mem: 31630 Epoch: [35] [4440/5278] eta: 0:37:31 lr: 6.5187875809809205e-06 loss: 0.0333 (0.0373) loss_seg: 0.0331 (0.0371) loss_lansim: 0.0202 (0.0204) loss_contra: 0.0001 (0.0011) time: 2.6410 data: 0.0053 max mem: 31630 Epoch: [35] [4450/5278] eta: 0:37:04 lr: 6.5161145469047085e-06 loss: 0.0339 (0.0373) loss_seg: 0.0336 (0.0371) loss_lansim: 0.0205 (0.0205) loss_contra: 0.0001 (0.0011) time: 2.6413 data: 0.0053 max mem: 31630 Epoch: [35] [4460/5278] eta: 0:36:37 lr: 6.513441390986347e-06 loss: 0.0339 (0.0373) loss_seg: 0.0337 (0.0371) loss_lansim: 0.0208 (0.0205) loss_contra: 0.0001 (0.0011) time: 2.6409 data: 0.0053 max mem: 31630 Epoch: [35] [4470/5278] eta: 0:36:10 lr: 6.5107681131647e-06 loss: 0.0339 (0.0373) loss_seg: 0.0337 (0.0371) loss_lansim: 0.0210 (0.0205) loss_contra: 0.0002 (0.0011) time: 2.6412 data: 0.0053 max mem: 31630 Epoch: [35] [4480/5278] eta: 0:35:43 lr: 6.5080947133785985e-06 loss: 0.0333 (0.0373) loss_seg: 0.0331 (0.0371) loss_lansim: 0.0208 (0.0205) loss_contra: 0.0001 (0.0011) time: 2.6415 data: 0.0053 max mem: 31630 Epoch: [35] [4490/5278] eta: 0:35:16 lr: 6.505421191566803e-06 loss: 0.0331 (0.0373) loss_seg: 0.0328 (0.0370) loss_lansim: 0.0208 (0.0205) loss_contra: 0.0002 (0.0011) time: 2.6414 data: 0.0053 max mem: 31630 Epoch: [35] [4500/5278] eta: 0:34:49 lr: 6.502747547668028e-06 loss: 0.0326 (0.0372) loss_seg: 0.0324 (0.0370) loss_lansim: 0.0208 (0.0205) loss_contra: 0.0001 (0.0011) time: 2.6436 data: 0.0053 max mem: 31630 Epoch: [35] [4510/5278] eta: 0:34:22 lr: 6.5000737816209026e-06 loss: 0.0326 (0.0372) loss_seg: 0.0324 (0.0370) loss_lansim: 0.0208 (0.0205) loss_contra: 0.0001 (0.0011) time: 2.6439 data: 0.0053 max mem: 31630 Epoch: [35] [4520/5278] eta: 0:33:55 lr: 6.497399893364022e-06 loss: 0.0327 (0.0372) loss_seg: 0.0325 (0.0370) loss_lansim: 0.0209 (0.0205) loss_contra: 0.0001 (0.0011) time: 2.6444 data: 0.0053 max mem: 31630 Epoch: [35] [4530/5278] eta: 0:33:28 lr: 6.494725882835913e-06 loss: 0.0339 (0.0372) loss_seg: 0.0337 (0.0370) loss_lansim: 0.0207 (0.0205) loss_contra: 0.0001 (0.0011) time: 2.6445 data: 0.0053 max mem: 31630 Epoch: [35] [4540/5278] eta: 0:33:01 lr: 6.49205174997505e-06 loss: 0.0339 (0.0372) loss_seg: 0.0337 (0.0370) loss_lansim: 0.0207 (0.0205) loss_contra: 0.0001 (0.0011) time: 2.6445 data: 0.0053 max mem: 31630 Epoch: [35] [4550/5278] eta: 0:32:34 lr: 6.4893774947198314e-06 loss: 0.0339 (0.0372) loss_seg: 0.0337 (0.0370) loss_lansim: 0.0204 (0.0205) loss_contra: 0.0001 (0.0011) time: 2.6451 data: 0.0053 max mem: 31630 Epoch: [35] [4560/5278] eta: 0:32:07 lr: 6.486703117008612e-06 loss: 0.0339 (0.0372) loss_seg: 0.0336 (0.0370) loss_lansim: 0.0204 (0.0205) loss_contra: 0.0001 (0.0011) time: 2.6455 data: 0.0053 max mem: 31630 Epoch: [35] [4570/5278] eta: 0:31:41 lr: 6.484028616779684e-06 loss: 0.0341 (0.0372) loss_seg: 0.0340 (0.0370) loss_lansim: 0.0203 (0.0205) loss_contra: 0.0001 (0.0011) time: 2.6426 data: 0.0053 max mem: 31630 Epoch: [35] [4580/5278] eta: 0:31:14 lr: 6.481353993971287e-06 loss: 0.0343 (0.0372) loss_seg: 0.0341 (0.0370) loss_lansim: 0.0206 (0.0205) loss_contra: 0.0001 (0.0011) time: 2.6400 data: 0.0053 max mem: 31630 Epoch: [35] [4590/5278] eta: 0:30:47 lr: 6.478679248521577e-06 loss: 0.0354 (0.0373) loss_seg: 0.0351 (0.0371) loss_lansim: 0.0206 (0.0205) loss_contra: 0.0001 (0.0011) time: 2.6368 data: 0.0053 max mem: 31630 Epoch: [35] [4600/5278] eta: 0:30:20 lr: 6.476004380368673e-06 loss: 0.0375 (0.0373) loss_seg: 0.0373 (0.0371) loss_lansim: 0.0206 (0.0205) loss_contra: 0.0001 (0.0011) time: 2.6294 data: 0.0053 max mem: 31630 Epoch: [35] [4610/5278] eta: 0:29:53 lr: 6.47332938945063e-06 loss: 0.0376 (0.0373) loss_seg: 0.0374 (0.0371) loss_lansim: 0.0206 (0.0205) loss_contra: 0.0001 (0.0011) time: 2.6266 data: 0.0053 max mem: 31630 Epoch: [35] [4620/5278] eta: 0:29:26 lr: 6.470654275705447e-06 loss: 0.0378 (0.0373) loss_seg: 0.0375 (0.0371) loss_lansim: 0.0206 (0.0205) loss_contra: 0.0001 (0.0011) time: 2.6232 data: 0.0052 max mem: 31630 Epoch: [35] [4630/5278] eta: 0:28:59 lr: 6.467979039071044e-06 loss: 0.0376 (0.0373) loss_seg: 0.0374 (0.0371) loss_lansim: 0.0209 (0.0205) loss_contra: 0.0001 (0.0011) time: 2.6200 data: 0.0053 max mem: 31630 Epoch: [35] [4640/5278] eta: 0:28:32 lr: 6.4653036794853e-06 loss: 0.0377 (0.0373) loss_seg: 0.0375 (0.0371) loss_lansim: 0.0212 (0.0205) loss_contra: 0.0001 (0.0011) time: 2.6170 data: 0.0052 max mem: 31630 Epoch: [35] [4650/5278] eta: 0:28:05 lr: 6.462628196886031e-06 loss: 0.0377 (0.0373) loss_seg: 0.0375 (0.0371) loss_lansim: 0.0214 (0.0205) loss_contra: 0.0001 (0.0011) time: 2.6144 data: 0.0053 max mem: 31630 Epoch: [35] [4660/5278] eta: 0:27:38 lr: 6.459952591210994e-06 loss: 0.0368 (0.0373) loss_seg: 0.0367 (0.0371) loss_lansim: 0.0212 (0.0205) loss_contra: 0.0001 (0.0011) time: 2.6147 data: 0.0053 max mem: 31630 Epoch: [35] [4670/5278] eta: 0:27:11 lr: 6.457276862397871e-06 loss: 0.0368 (0.0373) loss_seg: 0.0365 (0.0371) loss_lansim: 0.0212 (0.0205) loss_contra: 0.0001 (0.0011) time: 2.6174 data: 0.0053 max mem: 31630 Epoch: [35] [4680/5278] eta: 0:26:44 lr: 6.4546010103843e-06 loss: 0.0364 (0.0373) loss_seg: 0.0362 (0.0371) loss_lansim: 0.0207 (0.0205) loss_contra: 0.0001 (0.0011) time: 2.6201 data: 0.0053 max mem: 31630 Epoch: [35] [4690/5278] eta: 0:26:17 lr: 6.451925035107855e-06 loss: 0.0368 (0.0373) loss_seg: 0.0365 (0.0371) loss_lansim: 0.0206 (0.0205) loss_contra: 0.0001 (0.0011) time: 2.6234 data: 0.0053 max mem: 31630 Epoch: [35] [4700/5278] eta: 0:25:50 lr: 6.449248936506047e-06 loss: 0.0353 (0.0373) loss_seg: 0.0351 (0.0371) loss_lansim: 0.0207 (0.0205) loss_contra: 0.0001 (0.0011) time: 2.6262 data: 0.0053 max mem: 31630 Epoch: [35] [4710/5278] eta: 0:25:24 lr: 6.446572714516335e-06 loss: 0.0341 (0.0373) loss_seg: 0.0339 (0.0371) loss_lansim: 0.0206 (0.0205) loss_contra: 0.0001 (0.0011) time: 2.6290 data: 0.0053 max mem: 31630 Epoch: [35] [4720/5278] eta: 0:24:57 lr: 6.443896369076098e-06 loss: 0.0341 (0.0373) loss_seg: 0.0339 (0.0371) loss_lansim: 0.0207 (0.0205) loss_contra: 0.0001 (0.0011) time: 2.6317 data: 0.0053 max mem: 31630 Epoch: [35] [4730/5278] eta: 0:24:30 lr: 6.441219900122671e-06 loss: 0.0349 (0.0373) loss_seg: 0.0346 (0.0371) loss_lansim: 0.0206 (0.0205) loss_contra: 0.0001 (0.0011) time: 2.6348 data: 0.0053 max mem: 31630 Epoch: [35] [4740/5278] eta: 0:24:03 lr: 6.438543307593325e-06 loss: 0.0343 (0.0373) loss_seg: 0.0340 (0.0371) loss_lansim: 0.0203 (0.0205) loss_contra: 0.0001 (0.0011) time: 2.6384 data: 0.0053 max mem: 31630 Epoch: [35] [4750/5278] eta: 0:23:36 lr: 6.435866591425274e-06 loss: 0.0343 (0.0373) loss_seg: 0.0340 (0.0371) loss_lansim: 0.0202 (0.0205) loss_contra: 0.0001 (0.0011) time: 2.6423 data: 0.0053 max mem: 31630 Epoch: [35] [4760/5278] eta: 0:23:09 lr: 6.433189751555655e-06 loss: 0.0349 (0.0373) loss_seg: 0.0346 (0.0371) loss_lansim: 0.0205 (0.0205) loss_contra: 0.0001 (0.0011) time: 2.6455 data: 0.0054 max mem: 31630 Epoch: [35] [4770/5278] eta: 0:22:43 lr: 6.430512787921558e-06 loss: 0.0352 (0.0373) loss_seg: 0.0350 (0.0371) loss_lansim: 0.0208 (0.0205) loss_contra: 0.0001 (0.0011) time: 2.6705 data: 0.0054 max mem: 31630 Epoch: [35] [4780/5278] eta: 0:22:16 lr: 6.427835700460013e-06 loss: 0.0352 (0.0373) loss_seg: 0.0350 (0.0371) loss_lansim: 0.0205 (0.0205) loss_contra: 0.0001 (0.0011) time: 2.7011 data: 0.0055 max mem: 31630 Epoch: [35] [4790/5278] eta: 0:21:49 lr: 6.425158489107987e-06 loss: 0.0347 (0.0373) loss_seg: 0.0345 (0.0370) loss_lansim: 0.0208 (0.0205) loss_contra: 0.0001 (0.0011) time: 2.7308 data: 0.0055 max mem: 31630 Epoch: [35] [4800/5278] eta: 0:21:23 lr: 6.422481153802372e-06 loss: 0.0338 (0.0372) loss_seg: 0.0336 (0.0370) loss_lansim: 0.0202 (0.0205) loss_contra: 0.0001 (0.0011) time: 2.7611 data: 0.0056 max mem: 31630 Epoch: [35] [4810/5278] eta: 0:20:56 lr: 6.419803694480017e-06 loss: 0.0344 (0.0372) loss_seg: 0.0342 (0.0370) loss_lansim: 0.0205 (0.0205) loss_contra: 0.0001 (0.0011) time: 2.7914 data: 0.0058 max mem: 31630 Epoch: [35] [4820/5278] eta: 0:20:30 lr: 6.417126111077701e-06 loss: 0.0333 (0.0372) loss_seg: 0.0331 (0.0370) loss_lansim: 0.0202 (0.0205) loss_contra: 0.0001 (0.0011) time: 2.8241 data: 0.0058 max mem: 31630 Epoch: [35] [4830/5278] eta: 0:20:03 lr: 6.414448403532151e-06 loss: 0.0326 (0.0372) loss_seg: 0.0324 (0.0370) loss_lansim: 0.0201 (0.0205) loss_contra: 0.0001 (0.0012) time: 2.8563 data: 0.0059 max mem: 31630 Epoch: [35] [4840/5278] eta: 0:19:36 lr: 6.41177057178001e-06 loss: 0.0326 (0.0372) loss_seg: 0.0324 (0.0370) loss_lansim: 0.0202 (0.0205) loss_contra: 0.0001 (0.0012) time: 2.8864 data: 0.0060 max mem: 31630 Epoch: [35] [4850/5278] eta: 0:19:10 lr: 6.4090926157578795e-06 loss: 0.0331 (0.0372) loss_seg: 0.0330 (0.0370) loss_lansim: 0.0204 (0.0205) loss_contra: 0.0001 (0.0012) time: 2.9170 data: 0.0061 max mem: 31630 Epoch: [35] [4860/5278] eta: 0:18:43 lr: 6.406414535402296e-06 loss: 0.0323 (0.0372) loss_seg: 0.0321 (0.0370) loss_lansim: 0.0201 (0.0205) loss_contra: 0.0001 (0.0012) time: 2.9472 data: 0.0061 max mem: 31630 Epoch: [35] [4870/5278] eta: 0:18:17 lr: 6.403736330649733e-06 loss: 0.0319 (0.0372) loss_seg: 0.0316 (0.0370) loss_lansim: 0.0200 (0.0205) loss_contra: 0.0001 (0.0012) time: 2.9537 data: 0.0061 max mem: 31630 Epoch: [35] [4880/5278] eta: 0:17:50 lr: 6.401058001436591e-06 loss: 0.0329 (0.0372) loss_seg: 0.0327 (0.0370) loss_lansim: 0.0201 (0.0205) loss_contra: 0.0001 (0.0012) time: 2.9561 data: 0.0061 max mem: 31630 Epoch: [35] [4890/5278] eta: 0:17:23 lr: 6.398379547699224e-06 loss: 0.0331 (0.0372) loss_seg: 0.0329 (0.0370) loss_lansim: 0.0200 (0.0205) loss_contra: 0.0001 (0.0012) time: 2.9584 data: 0.0061 max mem: 31630 Epoch: [35] [4900/5278] eta: 0:16:57 lr: 6.395700969373915e-06 loss: 0.0346 (0.0372) loss_seg: 0.0344 (0.0370) loss_lansim: 0.0200 (0.0205) loss_contra: 0.0001 (0.0012) time: 2.9600 data: 0.0061 max mem: 31630 Epoch: [35] [4910/5278] eta: 0:16:30 lr: 6.393022266396889e-06 loss: 0.0348 (0.0372) loss_seg: 0.0346 (0.0370) loss_lansim: 0.0200 (0.0205) loss_contra: 0.0001 (0.0012) time: 2.9606 data: 0.0060 max mem: 31630 Epoch: [35] [4920/5278] eta: 0:16:03 lr: 6.3903434387043145e-06 loss: 0.0355 (0.0372) loss_seg: 0.0353 (0.0370) loss_lansim: 0.0201 (0.0205) loss_contra: 0.0001 (0.0012) time: 2.9596 data: 0.0060 max mem: 31630 Epoch: [35] [4930/5278] eta: 0:15:36 lr: 6.387664486232274e-06 loss: 0.0356 (0.0372) loss_seg: 0.0354 (0.0370) loss_lansim: 0.0199 (0.0205) loss_contra: 0.0001 (0.0012) time: 2.9594 data: 0.0060 max mem: 31630 Epoch: [35] [4940/5278] eta: 0:15:10 lr: 6.384985408916812e-06 loss: 0.0352 (0.0372) loss_seg: 0.0350 (0.0370) loss_lansim: 0.0198 (0.0205) loss_contra: 0.0001 (0.0012) time: 2.9617 data: 0.0059 max mem: 31630 Epoch: [35] [4950/5278] eta: 0:14:43 lr: 6.382306206693901e-06 loss: 0.0352 (0.0372) loss_seg: 0.0350 (0.0370) loss_lansim: 0.0198 (0.0205) loss_contra: 0.0001 (0.0012) time: 2.9607 data: 0.0059 max mem: 31630 Epoch: [35] [4960/5278] eta: 0:14:16 lr: 6.379626879499458e-06 loss: 0.0364 (0.0372) loss_seg: 0.0361 (0.0370) loss_lansim: 0.0200 (0.0205) loss_contra: 0.0001 (0.0012) time: 2.9594 data: 0.0059 max mem: 31630 Epoch: [35] [4970/5278] eta: 0:13:49 lr: 6.3769474272693184e-06 loss: 0.0366 (0.0372) loss_seg: 0.0362 (0.0370) loss_lansim: 0.0200 (0.0205) loss_contra: 0.0001 (0.0012) time: 2.9613 data: 0.0060 max mem: 31630 Epoch: [35] [4980/5278] eta: 0:13:23 lr: 6.374267849939272e-06 loss: 0.0366 (0.0372) loss_seg: 0.0362 (0.0370) loss_lansim: 0.0201 (0.0205) loss_contra: 0.0001 (0.0012) time: 2.9611 data: 0.0060 max mem: 31630 Epoch: [35] [4990/5278] eta: 0:12:56 lr: 6.3715881474450425e-06 loss: 0.0361 (0.0372) loss_seg: 0.0359 (0.0370) loss_lansim: 0.0202 (0.0205) loss_contra: 0.0002 (0.0012) time: 2.9613 data: 0.0060 max mem: 31630 Epoch: [35] [5000/5278] eta: 0:12:29 lr: 6.368908319722294e-06 loss: 0.0360 (0.0372) loss_seg: 0.0357 (0.0370) loss_lansim: 0.0205 (0.0205) loss_contra: 0.0002 (0.0012) time: 2.9628 data: 0.0060 max mem: 31630 Epoch: [35] [5010/5278] eta: 0:12:02 lr: 6.36622836670661e-06 loss: 0.0360 (0.0372) loss_seg: 0.0357 (0.0370) loss_lansim: 0.0205 (0.0205) loss_contra: 0.0002 (0.0012) time: 2.9638 data: 0.0060 max mem: 31630 Epoch: [35] [5020/5278] eta: 0:11:35 lr: 6.363548288333529e-06 loss: 0.0353 (0.0372) loss_seg: 0.0351 (0.0370) loss_lansim: 0.0205 (0.0205) loss_contra: 0.0001 (0.0012) time: 2.9638 data: 0.0060 max mem: 31630 Epoch: [35] [5030/5278] eta: 0:11:09 lr: 6.360868084538518e-06 loss: 0.0359 (0.0372) loss_seg: 0.0356 (0.0370) loss_lansim: 0.0205 (0.0205) loss_contra: 0.0002 (0.0012) time: 2.9651 data: 0.0060 max mem: 31630 Epoch: [35] [5040/5278] eta: 0:10:42 lr: 6.358187755256992e-06 loss: 0.0360 (0.0372) loss_seg: 0.0358 (0.0370) loss_lansim: 0.0205 (0.0205) loss_contra: 0.0002 (0.0012) time: 2.9646 data: 0.0061 max mem: 31630 Epoch: [35] [5050/5278] eta: 0:10:15 lr: 6.355507300424279e-06 loss: 0.0353 (0.0372) loss_seg: 0.0351 (0.0370) loss_lansim: 0.0202 (0.0205) loss_contra: 0.0001 (0.0012) time: 2.9653 data: 0.0061 max mem: 31630 Epoch: [35] [5060/5278] eta: 0:09:48 lr: 6.352826719975663e-06 loss: 0.0350 (0.0372) loss_seg: 0.0348 (0.0370) loss_lansim: 0.0202 (0.0205) loss_contra: 0.0001 (0.0012) time: 2.9670 data: 0.0061 max mem: 31630 Epoch: [35] [5070/5278] eta: 0:09:21 lr: 6.350146013846359e-06 loss: 0.0349 (0.0372) loss_seg: 0.0347 (0.0370) loss_lansim: 0.0202 (0.0205) loss_contra: 0.0001 (0.0012) time: 2.9657 data: 0.0060 max mem: 31630 Epoch: [35] [5080/5278] eta: 0:08:54 lr: 6.3474651819715235e-06 loss: 0.0349 (0.0372) loss_seg: 0.0347 (0.0370) loss_lansim: 0.0202 (0.0205) loss_contra: 0.0001 (0.0012) time: 2.9672 data: 0.0060 max mem: 31630 Epoch: [35] [5090/5278] eta: 0:08:27 lr: 6.344784224286234e-06 loss: 0.0350 (0.0372) loss_seg: 0.0348 (0.0370) loss_lansim: 0.0202 (0.0205) loss_contra: 0.0001 (0.0012) time: 2.9684 data: 0.0060 max mem: 31630 Epoch: [35] [5100/5278] eta: 0:08:00 lr: 6.342103140725514e-06 loss: 0.0350 (0.0372) loss_seg: 0.0348 (0.0370) loss_lansim: 0.0202 (0.0205) loss_contra: 0.0001 (0.0012) time: 2.9687 data: 0.0060 max mem: 31630 Epoch: [35] [5110/5278] eta: 0:07:33 lr: 6.339421931224328e-06 loss: 0.0348 (0.0372) loss_seg: 0.0346 (0.0370) loss_lansim: 0.0203 (0.0205) loss_contra: 0.0001 (0.0012) time: 2.9705 data: 0.0060 max mem: 31630 Epoch: [35] [5120/5278] eta: 0:07:06 lr: 6.336740595717573e-06 loss: 0.0348 (0.0372) loss_seg: 0.0346 (0.0370) loss_lansim: 0.0202 (0.0205) loss_contra: 0.0001 (0.0012) time: 2.9707 data: 0.0061 max mem: 31630 Epoch: [35] [5130/5278] eta: 0:06:40 lr: 6.334059134140069e-06 loss: 0.0348 (0.0372) loss_seg: 0.0346 (0.0370) loss_lansim: 0.0204 (0.0205) loss_contra: 0.0001 (0.0012) time: 2.9692 data: 0.0061 max mem: 31630 Epoch: [35] [5140/5278] eta: 0:06:13 lr: 6.331377546426587e-06 loss: 0.0360 (0.0372) loss_seg: 0.0358 (0.0370) loss_lansim: 0.0204 (0.0205) loss_contra: 0.0001 (0.0012) time: 2.9703 data: 0.0060 max mem: 31630 Epoch: [35] [5150/5278] eta: 0:05:46 lr: 6.3286958325118275e-06 loss: 0.0360 (0.0372) loss_seg: 0.0358 (0.0370) loss_lansim: 0.0206 (0.0205) loss_contra: 0.0001 (0.0012) time: 2.9712 data: 0.0060 max mem: 31630 Epoch: [35] [5160/5278] eta: 0:05:19 lr: 6.32601399233043e-06 loss: 0.0356 (0.0372) loss_seg: 0.0354 (0.0370) loss_lansim: 0.0206 (0.0205) loss_contra: 0.0001 (0.0012) time: 2.9713 data: 0.0060 max mem: 31630 Epoch: [35] [5170/5278] eta: 0:04:52 lr: 6.323332025816972e-06 loss: 0.0355 (0.0372) loss_seg: 0.0353 (0.0370) loss_lansim: 0.0206 (0.0205) loss_contra: 0.0001 (0.0012) time: 2.9712 data: 0.0060 max mem: 31630 Epoch: [35] [5180/5278] eta: 0:04:25 lr: 6.320649932905948e-06 loss: 0.0352 (0.0372) loss_seg: 0.0351 (0.0370) loss_lansim: 0.0206 (0.0205) loss_contra: 0.0001 (0.0012) time: 2.9701 data: 0.0060 max mem: 31630 Epoch: [35] [5190/5278] eta: 0:03:58 lr: 6.317967713531807e-06 loss: 0.0355 (0.0372) loss_seg: 0.0353 (0.0370) loss_lansim: 0.0205 (0.0205) loss_contra: 0.0001 (0.0012) time: 2.9699 data: 0.0060 max mem: 31630 Epoch: [35] [5200/5278] eta: 0:03:31 lr: 6.315285367628927e-06 loss: 0.0343 (0.0372) loss_seg: 0.0340 (0.0370) loss_lansim: 0.0205 (0.0205) loss_contra: 0.0001 (0.0012) time: 2.9689 data: 0.0061 max mem: 31630 Epoch: [35] [5210/5278] eta: 0:03:04 lr: 6.312602895131627e-06 loss: 0.0355 (0.0372) loss_seg: 0.0353 (0.0370) loss_lansim: 0.0205 (0.0205) loss_contra: 0.0001 (0.0012) time: 2.9689 data: 0.0060 max mem: 31630 Epoch: [35] [5220/5278] eta: 0:02:37 lr: 6.30992029597414e-06 loss: 0.0352 (0.0372) loss_seg: 0.0351 (0.0370) loss_lansim: 0.0206 (0.0205) loss_contra: 0.0001 (0.0012) time: 2.9698 data: 0.0060 max mem: 31630 Epoch: [35] [5230/5278] eta: 0:02:09 lr: 6.307237570090657e-06 loss: 0.0355 (0.0372) loss_seg: 0.0353 (0.0370) loss_lansim: 0.0205 (0.0205) loss_contra: 0.0001 (0.0012) time: 2.9700 data: 0.0060 max mem: 31630 Epoch: [35] [5240/5278] eta: 0:01:42 lr: 6.304554717415295e-06 loss: 0.0355 (0.0372) loss_seg: 0.0353 (0.0370) loss_lansim: 0.0205 (0.0205) loss_contra: 0.0001 (0.0012) time: 2.9693 data: 0.0060 max mem: 31630 Epoch: [35] [5250/5278] eta: 0:01:15 lr: 6.30187173788211e-06 loss: 0.0356 (0.0372) loss_seg: 0.0354 (0.0370) loss_lansim: 0.0205 (0.0205) loss_contra: 0.0001 (0.0012) time: 2.9692 data: 0.0060 max mem: 31630 Epoch: [35] [5260/5278] eta: 0:00:48 lr: 6.299188631425078e-06 loss: 0.0354 (0.0372) loss_seg: 0.0352 (0.0370) loss_lansim: 0.0201 (0.0205) loss_contra: 0.0001 (0.0012) time: 2.9673 data: 0.0061 max mem: 31630 Epoch: [35] [5270/5278] eta: 0:00:21 lr: 6.296505397978124e-06 loss: 0.0365 (0.0372) loss_seg: 0.0363 (0.0370) loss_lansim: 0.0203 (0.0205) loss_contra: 0.0001 (0.0012) time: 2.9666 data: 0.0060 max mem: 31630 Epoch: [35] Total time: 3:58:25 Test: [ 0/2573] eta: 1:11:11 time: 1.6601 data: 1.4934 max mem: 31630 Test: [ 100/2573] eta: 0:06:25 time: 0.1410 data: 0.0015 max mem: 31630 Test: [ 200/2573] eta: 0:05:59 time: 0.1465 data: 0.0017 max mem: 31630 Test: [ 300/2573] eta: 0:05:36 time: 0.1409 data: 0.0016 max mem: 31630 Test: [ 400/2573] eta: 0:05:18 time: 0.1430 data: 0.0016 max mem: 31630 Test: [ 500/2573] eta: 0:05:02 time: 0.1441 data: 0.0016 max mem: 31630 Test: [ 600/2573] eta: 0:04:48 time: 0.1458 data: 0.0016 max mem: 31630 Test: [ 700/2573] eta: 0:04:34 time: 0.1494 data: 0.0016 max mem: 31630 Test: [ 800/2573] eta: 0:04:19 time: 0.1465 data: 0.0017 max mem: 31630 Test: [ 900/2573] eta: 0:04:05 time: 0.1465 data: 0.0016 max mem: 31630 Test: [1000/2573] eta: 0:03:50 time: 0.1449 data: 0.0016 max mem: 31630 Test: [1100/2573] eta: 0:03:35 time: 0.1443 data: 0.0016 max mem: 31630 Test: [1200/2573] eta: 0:03:20 time: 0.1468 data: 0.0016 max mem: 31630 Test: [1300/2573] eta: 0:03:06 time: 0.1449 data: 0.0016 max mem: 31630 Test: [1400/2573] eta: 0:02:51 time: 0.1413 data: 0.0016 max mem: 31630 Test: [1500/2573] eta: 0:02:36 time: 0.1458 data: 0.0016 max mem: 31630 Test: [1600/2573] eta: 0:02:21 time: 0.1456 data: 0.0016 max mem: 31630 Test: [1700/2573] eta: 0:02:07 time: 0.1457 data: 0.0016 max mem: 31630 Test: [1800/2573] eta: 0:01:52 time: 0.1428 data: 0.0016 max mem: 31630 Test: [1900/2573] eta: 0:01:37 time: 0.1413 data: 0.0016 max mem: 31630 Test: [2000/2573] eta: 0:01:23 time: 0.1411 data: 0.0016 max mem: 31630 Test: [2100/2573] eta: 0:01:08 time: 0.1456 data: 0.0016 max mem: 31630 Test: [2200/2573] eta: 0:00:54 time: 0.1405 data: 0.0016 max mem: 31630 Test: [2300/2573] eta: 0:00:39 time: 0.1464 data: 0.0016 max mem: 31630 Test: [2400/2573] eta: 0:00:25 time: 0.1441 data: 0.0016 max mem: 31630 Test: [2500/2573] eta: 0:00:10 time: 0.1464 data: 0.0016 max mem: 31630 Test: Total time: 0:06:13 Final results: precision@0.5 = 70.67 precision@0.6 = 66.26 precision@0.7 = 59.64 precision@0.8 = 48.82 precision@0.9 = 24.84 overall IoU = 58.93 mean IoU = 62.59 Epoch: [36] [ 0/5278] eta: 7:04:51 lr: 6.294358719743372e-06 loss: 0.0378 (0.0378) loss_seg: 0.0377 (0.0377) loss_lansim: 0.0176 (0.0176) loss_contra: 0.0010 (0.0010) time: 4.8298 data: 1.5598 max mem: 31630 Epoch: [36] [ 10/5278] eta: 4:34:49 lr: 6.291675257547827e-06 loss: 0.0364 (0.0354) loss_seg: 0.0362 (0.0352) loss_lansim: 0.0204 (0.0204) loss_contra: 0.0001 (0.0002) time: 3.1302 data: 0.1481 max mem: 31630 Epoch: [36] [ 20/5278] eta: 4:27:54 lr: 6.288991668176989e-06 loss: 0.0364 (0.0359) loss_seg: 0.0362 (0.0357) loss_lansim: 0.0213 (0.0210) loss_contra: 0.0001 (0.0003) time: 3.0572 data: 0.0802 max mem: 31630 Epoch: [36] [ 30/5278] eta: 4:25:09 lr: 6.286307951564534e-06 loss: 0.0364 (0.0367) loss_seg: 0.0362 (0.0365) loss_lansim: 0.0210 (0.0208) loss_contra: 0.0001 (0.0003) time: 3.0315 data: 0.0566 max mem: 31630 Epoch: [36] [ 40/5278] eta: 4:23:39 lr: 6.28362410764405e-06 loss: 0.0362 (0.0365) loss_seg: 0.0360 (0.0363) loss_lansim: 0.0211 (0.0210) loss_contra: 0.0001 (0.0006) time: 3.0202 data: 0.0444 max mem: 31630 Epoch: [36] [ 50/5278] eta: 4:22:09 lr: 6.280940136349085e-06 loss: 0.0351 (0.0368) loss_seg: 0.0348 (0.0366) loss_lansim: 0.0211 (0.0209) loss_contra: 0.0001 (0.0005) time: 3.0087 data: 0.0370 max mem: 31630 Epoch: [36] [ 60/5278] eta: 4:21:08 lr: 6.278256037613111e-06 loss: 0.0358 (0.0367) loss_seg: 0.0356 (0.0365) loss_lansim: 0.0211 (0.0210) loss_contra: 0.0001 (0.0007) time: 3.0028 data: 0.0321 max mem: 31630 Epoch: [36] [ 70/5278] eta: 4:20:08 lr: 6.275571811369537e-06 loss: 0.0353 (0.0369) loss_seg: 0.0351 (0.0367) loss_lansim: 0.0210 (0.0209) loss_contra: 0.0001 (0.0007) time: 2.9971 data: 0.0285 max mem: 31630 Epoch: [36] [ 80/5278] eta: 4:19:18 lr: 6.272887457551689e-06 loss: 0.0357 (0.0371) loss_seg: 0.0354 (0.0369) loss_lansim: 0.0210 (0.0208) loss_contra: 0.0001 (0.0007) time: 2.9931 data: 0.0258 max mem: 31630 Epoch: [36] [ 90/5278] eta: 4:18:40 lr: 6.270202976092848e-06 loss: 0.0351 (0.0363) loss_seg: 0.0348 (0.0361) loss_lansim: 0.0205 (0.0207) loss_contra: 0.0001 (0.0008) time: 2.9917 data: 0.0237 max mem: 31630 Epoch: [36] [ 100/5278] eta: 4:17:57 lr: 6.26751836692622e-06 loss: 0.0353 (0.0364) loss_seg: 0.0351 (0.0362) loss_lansim: 0.0204 (0.0207) loss_contra: 0.0001 (0.0008) time: 2.9708 data: 0.0065 max mem: 31630 Epoch: [36] [ 110/5278] eta: 4:17:20 lr: 6.264833629984948e-06 loss: 0.0357 (0.0366) loss_seg: 0.0354 (0.0364) loss_lansim: 0.0204 (0.0206) loss_contra: 0.0001 (0.0008) time: 2.9720 data: 0.0065 max mem: 31630 Epoch: [36] [ 120/5278] eta: 4:16:36 lr: 6.262148765202091e-06 loss: 0.0355 (0.0364) loss_seg: 0.0353 (0.0362) loss_lansim: 0.0203 (0.0206) loss_contra: 0.0001 (0.0010) time: 2.9698 data: 0.0066 max mem: 31630 Epoch: [36] [ 130/5278] eta: 4:15:55 lr: 6.259463772510664e-06 loss: 0.0349 (0.0364) loss_seg: 0.0346 (0.0361) loss_lansim: 0.0204 (0.0207) loss_contra: 0.0001 (0.0009) time: 2.9677 data: 0.0065 max mem: 31630 Epoch: [36] [ 140/5278] eta: 4:15:18 lr: 6.2567786518436005e-06 loss: 0.0342 (0.0362) loss_seg: 0.0340 (0.0360) loss_lansim: 0.0201 (0.0206) loss_contra: 0.0001 (0.0009) time: 2.9656 data: 0.0064 max mem: 31630 Epoch: [36] [ 150/5278] eta: 4:14:51 lr: 6.25409340313378e-06 loss: 0.0357 (0.0366) loss_seg: 0.0354 (0.0364) loss_lansim: 0.0197 (0.0205) loss_contra: 0.0001 (0.0008) time: 2.9683 data: 0.0064 max mem: 31630 Epoch: [36] [ 160/5278] eta: 4:14:17 lr: 6.251408026313994e-06 loss: 0.0355 (0.0368) loss_seg: 0.0353 (0.0366) loss_lansim: 0.0195 (0.0204) loss_contra: 0.0001 (0.0008) time: 2.9679 data: 0.0063 max mem: 31630 Epoch: [36] [ 170/5278] eta: 4:13:43 lr: 6.248722521316985e-06 loss: 0.0361 (0.0368) loss_seg: 0.0358 (0.0365) loss_lansim: 0.0195 (0.0204) loss_contra: 0.0001 (0.0009) time: 2.9686 data: 0.0063 max mem: 31630 Epoch: [36] [ 180/5278] eta: 4:13:09 lr: 6.24603688807542e-06 loss: 0.0355 (0.0367) loss_seg: 0.0353 (0.0365) loss_lansim: 0.0195 (0.0204) loss_contra: 0.0001 (0.0008) time: 2.9686 data: 0.0063 max mem: 31630 Epoch: [36] [ 190/5278] eta: 4:12:38 lr: 6.2433511265219e-06 loss: 0.0361 (0.0367) loss_seg: 0.0358 (0.0365) loss_lansim: 0.0195 (0.0203) loss_contra: 0.0001 (0.0008) time: 2.9678 data: 0.0063 max mem: 31630 Epoch: [36] [ 200/5278] eta: 4:12:05 lr: 6.240665236588968e-06 loss: 0.0355 (0.0367) loss_seg: 0.0353 (0.0365) loss_lansim: 0.0195 (0.0203) loss_contra: 0.0001 (0.0008) time: 2.9679 data: 0.0063 max mem: 31630 Epoch: [36] [ 210/5278] eta: 4:11:33 lr: 6.237979218209075e-06 loss: 0.0353 (0.0366) loss_seg: 0.0351 (0.0364) loss_lansim: 0.0194 (0.0202) loss_contra: 0.0001 (0.0008) time: 2.9679 data: 0.0063 max mem: 31630 Epoch: [36] [ 220/5278] eta: 4:11:00 lr: 6.235293071314625e-06 loss: 0.0341 (0.0363) loss_seg: 0.0339 (0.0361) loss_lansim: 0.0194 (0.0201) loss_contra: 0.0001 (0.0008) time: 2.9686 data: 0.0064 max mem: 31630 Epoch: [36] [ 230/5278] eta: 4:10:26 lr: 6.232606795837949e-06 loss: 0.0348 (0.0362) loss_seg: 0.0346 (0.0360) loss_lansim: 0.0189 (0.0201) loss_contra: 0.0001 (0.0009) time: 2.9685 data: 0.0064 max mem: 31630 Epoch: [36] [ 240/5278] eta: 4:09:52 lr: 6.229920391711314e-06 loss: 0.0340 (0.0360) loss_seg: 0.0338 (0.0358) loss_lansim: 0.0193 (0.0201) loss_contra: 0.0001 (0.0009) time: 2.9678 data: 0.0064 max mem: 31630 Epoch: [36] [ 250/5278] eta: 4:09:21 lr: 6.227233858866903e-06 loss: 0.0333 (0.0359) loss_seg: 0.0332 (0.0357) loss_lansim: 0.0195 (0.0202) loss_contra: 0.0002 (0.0008) time: 2.9663 data: 0.0064 max mem: 31630 Epoch: [36] [ 260/5278] eta: 4:08:53 lr: 6.224547197236846e-06 loss: 0.0333 (0.0360) loss_seg: 0.0330 (0.0358) loss_lansim: 0.0195 (0.0202) loss_contra: 0.0002 (0.0008) time: 2.9675 data: 0.0063 max mem: 31630 Epoch: [36] [ 270/5278] eta: 4:08:20 lr: 6.2218604067532014e-06 loss: 0.0330 (0.0360) loss_seg: 0.0328 (0.0358) loss_lansim: 0.0195 (0.0202) loss_contra: 0.0002 (0.0008) time: 2.9666 data: 0.0063 max mem: 31630 Epoch: [36] [ 280/5278] eta: 4:07:48 lr: 6.2191734873479634e-06 loss: 0.0331 (0.0360) loss_seg: 0.0328 (0.0358) loss_lansim: 0.0195 (0.0202) loss_contra: 0.0001 (0.0008) time: 2.9667 data: 0.0063 max mem: 31630 Epoch: [36] [ 290/5278] eta: 4:07:16 lr: 6.21648643895304e-06 loss: 0.0328 (0.0358) loss_seg: 0.0326 (0.0356) loss_lansim: 0.0199 (0.0203) loss_contra: 0.0001 (0.0008) time: 2.9652 data: 0.0062 max mem: 31630 Epoch: [36] [ 300/5278] eta: 4:06:47 lr: 6.2137992615002885e-06 loss: 0.0327 (0.0357) loss_seg: 0.0325 (0.0355) loss_lansim: 0.0200 (0.0203) loss_contra: 0.0001 (0.0008) time: 2.9665 data: 0.0062 max mem: 31630 Epoch: [36] [ 310/5278] eta: 4:06:15 lr: 6.211111954921493e-06 loss: 0.0327 (0.0358) loss_seg: 0.0325 (0.0356) loss_lansim: 0.0199 (0.0202) loss_contra: 0.0001 (0.0008) time: 2.9653 data: 0.0062 max mem: 31630 Epoch: [36] [ 320/5278] eta: 4:05:42 lr: 6.208424519148372e-06 loss: 0.0330 (0.0358) loss_seg: 0.0328 (0.0356) loss_lansim: 0.0203 (0.0202) loss_contra: 0.0001 (0.0008) time: 2.9645 data: 0.0061 max mem: 31630 Epoch: [36] [ 330/5278] eta: 4:05:10 lr: 6.205736954112558e-06 loss: 0.0328 (0.0357) loss_seg: 0.0326 (0.0355) loss_lansim: 0.0205 (0.0202) loss_contra: 0.0001 (0.0008) time: 2.9645 data: 0.0061 max mem: 31630 Epoch: [36] [ 340/5278] eta: 4:04:40 lr: 6.203049259745634e-06 loss: 0.0331 (0.0363) loss_seg: 0.0328 (0.0361) loss_lansim: 0.0201 (0.0202) loss_contra: 0.0001 (0.0008) time: 2.9663 data: 0.0060 max mem: 31630 Epoch: [36] [ 350/5278] eta: 4:04:08 lr: 6.200361435979106e-06 loss: 0.0330 (0.0366) loss_seg: 0.0328 (0.0364) loss_lansim: 0.0199 (0.0202) loss_contra: 0.0001 (0.0010) time: 2.9646 data: 0.0060 max mem: 31630 Epoch: [36] [ 360/5278] eta: 4:03:36 lr: 6.197673482744417e-06 loss: 0.0330 (0.0366) loss_seg: 0.0328 (0.0364) loss_lansim: 0.0199 (0.0202) loss_contra: 0.0001 (0.0010) time: 2.9621 data: 0.0060 max mem: 31630 Epoch: [36] [ 370/5278] eta: 4:03:06 lr: 6.1949853999729224e-06 loss: 0.0331 (0.0366) loss_seg: 0.0328 (0.0364) loss_lansim: 0.0198 (0.0202) loss_contra: 0.0001 (0.0010) time: 2.9631 data: 0.0059 max mem: 31630 Epoch: [36] [ 380/5278] eta: 4:02:36 lr: 6.192297187595928e-06 loss: 0.0339 (0.0367) loss_seg: 0.0337 (0.0364) loss_lansim: 0.0197 (0.0201) loss_contra: 0.0001 (0.0010) time: 2.9635 data: 0.0059 max mem: 31630 Epoch: [36] [ 390/5278] eta: 4:02:05 lr: 6.189608845544662e-06 loss: 0.0348 (0.0367) loss_seg: 0.0347 (0.0364) loss_lansim: 0.0196 (0.0202) loss_contra: 0.0001 (0.0010) time: 2.9635 data: 0.0058 max mem: 31630 Epoch: [36] [ 400/5278] eta: 4:01:33 lr: 6.18692037375029e-06 loss: 0.0351 (0.0367) loss_seg: 0.0349 (0.0365) loss_lansim: 0.0195 (0.0202) loss_contra: 0.0001 (0.0010) time: 2.9611 data: 0.0058 max mem: 31630 Epoch: [36] [ 410/5278] eta: 4:01:03 lr: 6.1842317721438885e-06 loss: 0.0348 (0.0366) loss_seg: 0.0345 (0.0364) loss_lansim: 0.0197 (0.0202) loss_contra: 0.0001 (0.0010) time: 2.9616 data: 0.0058 max mem: 31630 Epoch: [36] [ 420/5278] eta: 4:00:31 lr: 6.181543040656484e-06 loss: 0.0348 (0.0367) loss_seg: 0.0345 (0.0365) loss_lansim: 0.0198 (0.0202) loss_contra: 0.0001 (0.0010) time: 2.9618 data: 0.0058 max mem: 31630 Epoch: [36] [ 430/5278] eta: 3:59:56 lr: 6.178854179219025e-06 loss: 0.0348 (0.0367) loss_seg: 0.0347 (0.0365) loss_lansim: 0.0198 (0.0202) loss_contra: 0.0001 (0.0009) time: 2.9582 data: 0.0057 max mem: 31630 Epoch: [36] [ 440/5278] eta: 3:59:20 lr: 6.176165187762391e-06 loss: 0.0348 (0.0367) loss_seg: 0.0346 (0.0365) loss_lansim: 0.0198 (0.0202) loss_contra: 0.0001 (0.0009) time: 2.9518 data: 0.0058 max mem: 31630 Epoch: [36] [ 450/5278] eta: 3:58:44 lr: 6.173476066217397e-06 loss: 0.0353 (0.0367) loss_seg: 0.0351 (0.0365) loss_lansim: 0.0198 (0.0202) loss_contra: 0.0001 (0.0009) time: 2.9473 data: 0.0058 max mem: 31630 Epoch: [36] [ 460/5278] eta: 3:58:09 lr: 6.17078681451477e-06 loss: 0.0348 (0.0368) loss_seg: 0.0346 (0.0365) loss_lansim: 0.0198 (0.0202) loss_contra: 0.0001 (0.0009) time: 2.9431 data: 0.0058 max mem: 31630 Epoch: [36] [ 470/5278] eta: 3:57:33 lr: 6.168097432585184e-06 loss: 0.0343 (0.0367) loss_seg: 0.0340 (0.0365) loss_lansim: 0.0200 (0.0202) loss_contra: 0.0001 (0.0009) time: 2.9371 data: 0.0059 max mem: 31630 Epoch: [36] [ 480/5278] eta: 3:56:59 lr: 6.165407920359238e-06 loss: 0.0339 (0.0368) loss_seg: 0.0337 (0.0366) loss_lansim: 0.0201 (0.0202) loss_contra: 0.0001 (0.0009) time: 2.9317 data: 0.0059 max mem: 31630 Epoch: [36] [ 490/5278] eta: 3:56:24 lr: 6.162718277767463e-06 loss: 0.0334 (0.0368) loss_seg: 0.0332 (0.0365) loss_lansim: 0.0198 (0.0201) loss_contra: 0.0001 (0.0011) time: 2.9267 data: 0.0059 max mem: 31630 Epoch: [36] [ 500/5278] eta: 3:55:50 lr: 6.160028504740305e-06 loss: 0.0334 (0.0368) loss_seg: 0.0332 (0.0366) loss_lansim: 0.0197 (0.0201) loss_contra: 0.0001 (0.0011) time: 2.9226 data: 0.0060 max mem: 31630 Epoch: [36] [ 510/5278] eta: 3:55:19 lr: 6.157338601208155e-06 loss: 0.0340 (0.0368) loss_seg: 0.0339 (0.0366) loss_lansim: 0.0198 (0.0201) loss_contra: 0.0001 (0.0011) time: 2.9206 data: 0.0060 max mem: 31630 Epoch: [36] [ 520/5278] eta: 3:54:50 lr: 6.154648567101326e-06 loss: 0.0340 (0.0368) loss_seg: 0.0339 (0.0365) loss_lansim: 0.0195 (0.0201) loss_contra: 0.0001 (0.0011) time: 2.9228 data: 0.0060 max mem: 31630 Epoch: [36] [ 530/5278] eta: 3:54:21 lr: 6.151958402350071e-06 loss: 0.0340 (0.0367) loss_seg: 0.0338 (0.0365) loss_lansim: 0.0196 (0.0201) loss_contra: 0.0001 (0.0011) time: 2.9272 data: 0.0061 max mem: 31630 Epoch: [36] [ 540/5278] eta: 3:53:51 lr: 6.149268106884548e-06 loss: 0.0339 (0.0369) loss_seg: 0.0337 (0.0367) loss_lansim: 0.0196 (0.0201) loss_contra: 0.0001 (0.0011) time: 2.9313 data: 0.0062 max mem: 31630 Epoch: [36] [ 550/5278] eta: 3:53:22 lr: 6.146577680634864e-06 loss: 0.0334 (0.0369) loss_seg: 0.0332 (0.0367) loss_lansim: 0.0198 (0.0201) loss_contra: 0.0001 (0.0011) time: 2.9370 data: 0.0062 max mem: 31630 Epoch: [36] [ 560/5278] eta: 3:52:53 lr: 6.1438871235310496e-06 loss: 0.0336 (0.0368) loss_seg: 0.0334 (0.0366) loss_lansim: 0.0199 (0.0202) loss_contra: 0.0001 (0.0011) time: 2.9431 data: 0.0062 max mem: 31630 Epoch: [36] [ 570/5278] eta: 3:52:24 lr: 6.141196435503068e-06 loss: 0.0340 (0.0368) loss_seg: 0.0339 (0.0366) loss_lansim: 0.0200 (0.0202) loss_contra: 0.0001 (0.0011) time: 2.9487 data: 0.0062 max mem: 31630 Epoch: [36] [ 580/5278] eta: 3:51:54 lr: 6.138505616480794e-06 loss: 0.0340 (0.0368) loss_seg: 0.0339 (0.0366) loss_lansim: 0.0199 (0.0201) loss_contra: 0.0002 (0.0011) time: 2.9536 data: 0.0062 max mem: 31630 Epoch: [36] [ 590/5278] eta: 3:51:25 lr: 6.1358146663940484e-06 loss: 0.0340 (0.0368) loss_seg: 0.0339 (0.0365) loss_lansim: 0.0199 (0.0201) loss_contra: 0.0002 (0.0011) time: 2.9596 data: 0.0062 max mem: 31630 Epoch: [36] [ 600/5278] eta: 3:50:55 lr: 6.133123585172574e-06 loss: 0.0340 (0.0367) loss_seg: 0.0339 (0.0365) loss_lansim: 0.0199 (0.0201) loss_contra: 0.0001 (0.0010) time: 2.9636 data: 0.0062 max mem: 31630 Epoch: [36] [ 610/5278] eta: 3:50:26 lr: 6.130432372746049e-06 loss: 0.0334 (0.0366) loss_seg: 0.0332 (0.0364) loss_lansim: 0.0197 (0.0201) loss_contra: 0.0001 (0.0011) time: 2.9665 data: 0.0063 max mem: 31630 Epoch: [36] [ 620/5278] eta: 3:49:57 lr: 6.127741029044058e-06 loss: 0.0334 (0.0370) loss_seg: 0.0332 (0.0368) loss_lansim: 0.0199 (0.0201) loss_contra: 0.0002 (0.0011) time: 2.9658 data: 0.0062 max mem: 31630 Epoch: [36] [ 630/5278] eta: 3:49:29 lr: 6.125049553996136e-06 loss: 0.0338 (0.0372) loss_seg: 0.0335 (0.0370) loss_lansim: 0.0199 (0.0201) loss_contra: 0.0002 (0.0011) time: 2.9667 data: 0.0062 max mem: 31630 Epoch: [36] [ 640/5278] eta: 3:48:59 lr: 6.122357947531737e-06 loss: 0.0343 (0.0372) loss_seg: 0.0342 (0.0370) loss_lansim: 0.0199 (0.0201) loss_contra: 0.0002 (0.0011) time: 2.9676 data: 0.0062 max mem: 31630 Epoch: [36] [ 650/5278] eta: 3:48:29 lr: 6.119666209580249e-06 loss: 0.0350 (0.0372) loss_seg: 0.0349 (0.0370) loss_lansim: 0.0196 (0.0201) loss_contra: 0.0001 (0.0015) time: 2.9659 data: 0.0062 max mem: 31630 Epoch: [36] [ 660/5278] eta: 3:47:59 lr: 6.116974340070969e-06 loss: 0.0343 (0.0372) loss_seg: 0.0342 (0.0370) loss_lansim: 0.0193 (0.0201) loss_contra: 0.0001 (0.0015) time: 2.9646 data: 0.0063 max mem: 31630 Epoch: [36] [ 670/5278] eta: 3:47:29 lr: 6.1142823389331425e-06 loss: 0.0338 (0.0371) loss_seg: 0.0336 (0.0369) loss_lansim: 0.0193 (0.0201) loss_contra: 0.0001 (0.0015) time: 2.9639 data: 0.0063 max mem: 31630 Epoch: [36] [ 680/5278] eta: 3:47:00 lr: 6.111590206095932e-06 loss: 0.0334 (0.0371) loss_seg: 0.0332 (0.0368) loss_lansim: 0.0194 (0.0201) loss_contra: 0.0001 (0.0015) time: 2.9641 data: 0.0064 max mem: 31630 Epoch: [36] [ 690/5278] eta: 3:46:30 lr: 6.108897941488428e-06 loss: 0.0339 (0.0370) loss_seg: 0.0337 (0.0368) loss_lansim: 0.0195 (0.0201) loss_contra: 0.0001 (0.0015) time: 2.9633 data: 0.0064 max mem: 31630 Epoch: [36] [ 700/5278] eta: 3:46:00 lr: 6.106205545039659e-06 loss: 0.0339 (0.0370) loss_seg: 0.0337 (0.0367) loss_lansim: 0.0197 (0.0201) loss_contra: 0.0001 (0.0016) time: 2.9641 data: 0.0064 max mem: 31630 Epoch: [36] [ 710/5278] eta: 3:45:30 lr: 6.1035130166785554e-06 loss: 0.0342 (0.0370) loss_seg: 0.0339 (0.0368) loss_lansim: 0.0198 (0.0201) loss_contra: 0.0001 (0.0016) time: 2.9619 data: 0.0064 max mem: 31630 Epoch: [36] [ 720/5278] eta: 3:45:00 lr: 6.100820356333997e-06 loss: 0.0343 (0.0370) loss_seg: 0.0342 (0.0367) loss_lansim: 0.0197 (0.0201) loss_contra: 0.0001 (0.0016) time: 2.9603 data: 0.0063 max mem: 31630 Epoch: [36] [ 730/5278] eta: 3:44:30 lr: 6.0981275639347824e-06 loss: 0.0340 (0.0369) loss_seg: 0.0338 (0.0367) loss_lansim: 0.0198 (0.0201) loss_contra: 0.0001 (0.0016) time: 2.9585 data: 0.0063 max mem: 31630 Epoch: [36] [ 740/5278] eta: 3:44:02 lr: 6.095434639409645e-06 loss: 0.0334 (0.0368) loss_seg: 0.0332 (0.0366) loss_lansim: 0.0198 (0.0201) loss_contra: 0.0001 (0.0016) time: 2.9605 data: 0.0063 max mem: 31630 Epoch: [36] [ 750/5278] eta: 3:43:32 lr: 6.092741582687223e-06 loss: 0.0333 (0.0368) loss_seg: 0.0331 (0.0366) loss_lansim: 0.0198 (0.0201) loss_contra: 0.0001 (0.0016) time: 2.9612 data: 0.0062 max mem: 31630 Epoch: [36] [ 760/5278] eta: 3:43:02 lr: 6.090048393696103e-06 loss: 0.0334 (0.0368) loss_seg: 0.0332 (0.0366) loss_lansim: 0.0199 (0.0201) loss_contra: 0.0001 (0.0016) time: 2.9604 data: 0.0061 max mem: 31630 Epoch: [36] [ 770/5278] eta: 3:42:32 lr: 6.08735507236479e-06 loss: 0.0340 (0.0369) loss_seg: 0.0338 (0.0367) loss_lansim: 0.0200 (0.0201) loss_contra: 0.0001 (0.0016) time: 2.9599 data: 0.0059 max mem: 31630 Epoch: [36] [ 780/5278] eta: 3:42:02 lr: 6.084661618621721e-06 loss: 0.0342 (0.0369) loss_seg: 0.0340 (0.0367) loss_lansim: 0.0202 (0.0201) loss_contra: 0.0001 (0.0015) time: 2.9595 data: 0.0058 max mem: 31630 Epoch: [36] [ 790/5278] eta: 3:41:32 lr: 6.081968032395241e-06 loss: 0.0346 (0.0369) loss_seg: 0.0344 (0.0367) loss_lansim: 0.0202 (0.0201) loss_contra: 0.0001 (0.0015) time: 2.9593 data: 0.0057 max mem: 31630 Epoch: [36] [ 800/5278] eta: 3:41:02 lr: 6.07927431361364e-06 loss: 0.0350 (0.0370) loss_seg: 0.0348 (0.0367) loss_lansim: 0.0202 (0.0201) loss_contra: 0.0001 (0.0015) time: 2.9583 data: 0.0057 max mem: 31630 Epoch: [36] [ 810/5278] eta: 3:40:33 lr: 6.076580462205127e-06 loss: 0.0350 (0.0369) loss_seg: 0.0348 (0.0367) loss_lansim: 0.0198 (0.0201) loss_contra: 0.0001 (0.0015) time: 2.9598 data: 0.0057 max mem: 31630 Epoch: [36] [ 820/5278] eta: 3:40:03 lr: 6.073886478097843e-06 loss: 0.0351 (0.0370) loss_seg: 0.0349 (0.0368) loss_lansim: 0.0203 (0.0201) loss_contra: 0.0001 (0.0015) time: 2.9612 data: 0.0057 max mem: 31630 Epoch: [36] [ 830/5278] eta: 3:39:34 lr: 6.0711923612198365e-06 loss: 0.0350 (0.0369) loss_seg: 0.0348 (0.0367) loss_lansim: 0.0202 (0.0201) loss_contra: 0.0001 (0.0015) time: 2.9613 data: 0.0057 max mem: 31630 Epoch: [36] [ 840/5278] eta: 3:39:04 lr: 6.068498111499101e-06 loss: 0.0356 (0.0369) loss_seg: 0.0354 (0.0367) loss_lansim: 0.0201 (0.0201) loss_contra: 0.0001 (0.0015) time: 2.9605 data: 0.0057 max mem: 31630 Epoch: [36] [ 850/5278] eta: 3:38:35 lr: 6.0658037288635446e-06 loss: 0.0358 (0.0370) loss_seg: 0.0356 (0.0368) loss_lansim: 0.0202 (0.0201) loss_contra: 0.0001 (0.0015) time: 2.9604 data: 0.0057 max mem: 31630 Epoch: [36] [ 860/5278] eta: 3:38:05 lr: 6.063109213241013e-06 loss: 0.0360 (0.0371) loss_seg: 0.0359 (0.0369) loss_lansim: 0.0202 (0.0201) loss_contra: 0.0001 (0.0015) time: 2.9611 data: 0.0058 max mem: 31630 Epoch: [36] [ 870/5278] eta: 3:37:36 lr: 6.0604145645592555e-06 loss: 0.0359 (0.0371) loss_seg: 0.0357 (0.0369) loss_lansim: 0.0201 (0.0201) loss_contra: 0.0001 (0.0015) time: 2.9634 data: 0.0058 max mem: 31630 Epoch: [36] [ 880/5278] eta: 3:37:06 lr: 6.057719782745965e-06 loss: 0.0359 (0.0370) loss_seg: 0.0357 (0.0368) loss_lansim: 0.0200 (0.0201) loss_contra: 0.0001 (0.0014) time: 2.9627 data: 0.0058 max mem: 31630 Epoch: [36] [ 890/5278] eta: 3:36:36 lr: 6.0550248677287526e-06 loss: 0.0361 (0.0370) loss_seg: 0.0359 (0.0368) loss_lansim: 0.0201 (0.0201) loss_contra: 0.0001 (0.0014) time: 2.9630 data: 0.0058 max mem: 31630 Epoch: [36] [ 900/5278] eta: 3:36:07 lr: 6.052329819435163e-06 loss: 0.0360 (0.0370) loss_seg: 0.0359 (0.0368) loss_lansim: 0.0198 (0.0201) loss_contra: 0.0001 (0.0014) time: 2.9648 data: 0.0057 max mem: 31630 Epoch: [36] [ 910/5278] eta: 3:35:39 lr: 6.049634637792643e-06 loss: 0.0360 (0.0370) loss_seg: 0.0359 (0.0368) loss_lansim: 0.0198 (0.0201) loss_contra: 0.0002 (0.0014) time: 2.9661 data: 0.0057 max mem: 31630 Epoch: [36] [ 920/5278] eta: 3:35:10 lr: 6.046939322728587e-06 loss: 0.0360 (0.0370) loss_seg: 0.0359 (0.0368) loss_lansim: 0.0197 (0.0201) loss_contra: 0.0001 (0.0014) time: 2.9669 data: 0.0057 max mem: 31630 Epoch: [36] [ 930/5278] eta: 3:34:40 lr: 6.044243874170304e-06 loss: 0.0359 (0.0369) loss_seg: 0.0357 (0.0367) loss_lansim: 0.0194 (0.0201) loss_contra: 0.0002 (0.0014) time: 2.9671 data: 0.0057 max mem: 31630 Epoch: [36] [ 940/5278] eta: 3:34:11 lr: 6.04154829204503e-06 loss: 0.0353 (0.0369) loss_seg: 0.0351 (0.0367) loss_lansim: 0.0196 (0.0201) loss_contra: 0.0002 (0.0014) time: 2.9673 data: 0.0057 max mem: 31630 Epoch: [36] [ 950/5278] eta: 3:33:42 lr: 6.038852576279928e-06 loss: 0.0349 (0.0368) loss_seg: 0.0347 (0.0366) loss_lansim: 0.0196 (0.0201) loss_contra: 0.0002 (0.0014) time: 2.9689 data: 0.0057 max mem: 31630 Epoch: [36] [ 960/5278] eta: 3:33:12 lr: 6.036156726802072e-06 loss: 0.0338 (0.0368) loss_seg: 0.0336 (0.0366) loss_lansim: 0.0196 (0.0201) loss_contra: 0.0001 (0.0014) time: 2.9693 data: 0.0057 max mem: 31630 Epoch: [36] [ 970/5278] eta: 3:32:43 lr: 6.0334607435384744e-06 loss: 0.0338 (0.0368) loss_seg: 0.0336 (0.0366) loss_lansim: 0.0195 (0.0201) loss_contra: 0.0002 (0.0014) time: 2.9688 data: 0.0057 max mem: 31630 Epoch: [36] [ 980/5278] eta: 3:32:13 lr: 6.030764626416065e-06 loss: 0.0342 (0.0368) loss_seg: 0.0340 (0.0366) loss_lansim: 0.0194 (0.0201) loss_contra: 0.0002 (0.0014) time: 2.9688 data: 0.0057 max mem: 31630 Epoch: [36] [ 990/5278] eta: 3:31:43 lr: 6.028068375361707e-06 loss: 0.0338 (0.0368) loss_seg: 0.0336 (0.0366) loss_lansim: 0.0192 (0.0201) loss_contra: 0.0002 (0.0015) time: 2.9687 data: 0.0057 max mem: 31630 Epoch: [36] [1000/5278] eta: 3:31:13 lr: 6.025371990302164e-06 loss: 0.0333 (0.0367) loss_seg: 0.0331 (0.0365) loss_lansim: 0.0192 (0.0201) loss_contra: 0.0002 (0.0015) time: 2.9673 data: 0.0057 max mem: 31630 Epoch: [36] [1010/5278] eta: 3:30:44 lr: 6.022675471164147e-06 loss: 0.0333 (0.0367) loss_seg: 0.0331 (0.0365) loss_lansim: 0.0192 (0.0201) loss_contra: 0.0001 (0.0014) time: 2.9657 data: 0.0057 max mem: 31630 Epoch: [36] [1020/5278] eta: 3:30:14 lr: 6.01997881787428e-06 loss: 0.0334 (0.0367) loss_seg: 0.0332 (0.0365) loss_lansim: 0.0191 (0.0201) loss_contra: 0.0001 (0.0014) time: 2.9648 data: 0.0057 max mem: 31630 Epoch: [36] [1030/5278] eta: 3:29:45 lr: 6.0172820303591185e-06 loss: 0.0334 (0.0367) loss_seg: 0.0332 (0.0365) loss_lansim: 0.0193 (0.0201) loss_contra: 0.0001 (0.0014) time: 2.9659 data: 0.0056 max mem: 31630 Epoch: [36] [1040/5278] eta: 3:29:16 lr: 6.014585108545122e-06 loss: 0.0333 (0.0367) loss_seg: 0.0331 (0.0365) loss_lansim: 0.0192 (0.0201) loss_contra: 0.0001 (0.0014) time: 2.9655 data: 0.0056 max mem: 31630 Epoch: [36] [1050/5278] eta: 3:28:47 lr: 6.011888052358692e-06 loss: 0.0333 (0.0367) loss_seg: 0.0331 (0.0365) loss_lansim: 0.0193 (0.0201) loss_contra: 0.0001 (0.0014) time: 2.9657 data: 0.0056 max mem: 31630 Epoch: [36] [1060/5278] eta: 3:28:17 lr: 6.009190861726145e-06 loss: 0.0333 (0.0367) loss_seg: 0.0331 (0.0365) loss_lansim: 0.0193 (0.0201) loss_contra: 0.0001 (0.0014) time: 2.9662 data: 0.0056 max mem: 31630 Epoch: [36] [1070/5278] eta: 3:27:48 lr: 6.006493536573731e-06 loss: 0.0333 (0.0367) loss_seg: 0.0331 (0.0365) loss_lansim: 0.0194 (0.0201) loss_contra: 0.0001 (0.0014) time: 2.9652 data: 0.0056 max mem: 31630 Epoch: [36] [1080/5278] eta: 3:27:19 lr: 6.003796076827599e-06 loss: 0.0332 (0.0367) loss_seg: 0.0330 (0.0365) loss_lansim: 0.0198 (0.0201) loss_contra: 0.0001 (0.0014) time: 2.9678 data: 0.0056 max mem: 31630 Epoch: [36] [1090/5278] eta: 3:26:50 lr: 6.001098482413842e-06 loss: 0.0333 (0.0367) loss_seg: 0.0331 (0.0365) loss_lansim: 0.0199 (0.0201) loss_contra: 0.0001 (0.0014) time: 2.9696 data: 0.0056 max mem: 31630 Epoch: [36] [1100/5278] eta: 3:26:20 lr: 5.998400753258468e-06 loss: 0.0332 (0.0367) loss_seg: 0.0330 (0.0365) loss_lansim: 0.0199 (0.0201) loss_contra: 0.0001 (0.0014) time: 2.9715 data: 0.0056 max mem: 31630 Epoch: [36] [1110/5278] eta: 3:25:51 lr: 5.995702889287416e-06 loss: 0.0345 (0.0368) loss_seg: 0.0343 (0.0366) loss_lansim: 0.0198 (0.0201) loss_contra: 0.0001 (0.0014) time: 2.9706 data: 0.0056 max mem: 31630 Epoch: [36] [1120/5278] eta: 3:25:21 lr: 5.993004890426525e-06 loss: 0.0344 (0.0368) loss_seg: 0.0342 (0.0366) loss_lansim: 0.0196 (0.0201) loss_contra: 0.0001 (0.0014) time: 2.9710 data: 0.0056 max mem: 31630 Epoch: [36] [1130/5278] eta: 3:24:52 lr: 5.990306756601577e-06 loss: 0.0354 (0.0368) loss_seg: 0.0352 (0.0366) loss_lansim: 0.0196 (0.0201) loss_contra: 0.0001 (0.0014) time: 2.9715 data: 0.0056 max mem: 31630 Epoch: [36] [1140/5278] eta: 3:24:22 lr: 5.98760848773827e-06 loss: 0.0354 (0.0368) loss_seg: 0.0352 (0.0366) loss_lansim: 0.0199 (0.0201) loss_contra: 0.0001 (0.0014) time: 2.9704 data: 0.0056 max mem: 31630 Epoch: [36] [1150/5278] eta: 3:23:53 lr: 5.984910083762228e-06 loss: 0.0354 (0.0368) loss_seg: 0.0352 (0.0366) loss_lansim: 0.0196 (0.0201) loss_contra: 0.0001 (0.0014) time: 2.9712 data: 0.0056 max mem: 31630 Epoch: [36] [1160/5278] eta: 3:23:25 lr: 5.982211544598981e-06 loss: 0.0354 (0.0368) loss_seg: 0.0352 (0.0366) loss_lansim: 0.0194 (0.0200) loss_contra: 0.0001 (0.0014) time: 2.9731 data: 0.0056 max mem: 31630 Epoch: [36] [1170/5278] eta: 3:22:55 lr: 5.979512870173996e-06 loss: 0.0355 (0.0368) loss_seg: 0.0353 (0.0366) loss_lansim: 0.0196 (0.0200) loss_contra: 0.0001 (0.0014) time: 2.9748 data: 0.0056 max mem: 31630 Epoch: [36] [1180/5278] eta: 3:22:26 lr: 5.97681406041266e-06 loss: 0.0361 (0.0368) loss_seg: 0.0360 (0.0366) loss_lansim: 0.0193 (0.0200) loss_contra: 0.0001 (0.0014) time: 2.9730 data: 0.0056 max mem: 31630 Epoch: [36] [1190/5278] eta: 3:21:56 lr: 5.974115115240275e-06 loss: 0.0355 (0.0368) loss_seg: 0.0353 (0.0366) loss_lansim: 0.0190 (0.0200) loss_contra: 0.0001 (0.0014) time: 2.9725 data: 0.0057 max mem: 31630 Epoch: [36] [1200/5278] eta: 3:21:27 lr: 5.971416034582077e-06 loss: 0.0355 (0.0368) loss_seg: 0.0353 (0.0366) loss_lansim: 0.0190 (0.0200) loss_contra: 0.0001 (0.0013) time: 2.9733 data: 0.0056 max mem: 31630 Epoch: [36] [1210/5278] eta: 3:20:58 lr: 5.968716818363199e-06 loss: 0.0354 (0.0368) loss_seg: 0.0352 (0.0365) loss_lansim: 0.0193 (0.0200) loss_contra: 0.0001 (0.0013) time: 2.9738 data: 0.0056 max mem: 31630 Epoch: [36] [1220/5278] eta: 3:20:29 lr: 5.966017466508718e-06 loss: 0.0354 (0.0367) loss_seg: 0.0352 (0.0365) loss_lansim: 0.0194 (0.0200) loss_contra: 0.0001 (0.0013) time: 2.9755 data: 0.0056 max mem: 31630 Epoch: [36] [1230/5278] eta: 3:19:59 lr: 5.963317978943622e-06 loss: 0.0341 (0.0367) loss_seg: 0.0339 (0.0365) loss_lansim: 0.0196 (0.0200) loss_contra: 0.0001 (0.0013) time: 2.9744 data: 0.0056 max mem: 31630 Epoch: [36] [1240/5278] eta: 3:19:30 lr: 5.960618355592828e-06 loss: 0.0341 (0.0367) loss_seg: 0.0339 (0.0365) loss_lansim: 0.0193 (0.0200) loss_contra: 0.0001 (0.0013) time: 2.9751 data: 0.0056 max mem: 31630 Epoch: [36] [1250/5278] eta: 3:19:01 lr: 5.957918596381156e-06 loss: 0.0341 (0.0367) loss_seg: 0.0339 (0.0365) loss_lansim: 0.0196 (0.0200) loss_contra: 0.0001 (0.0013) time: 2.9752 data: 0.0055 max mem: 31630 Epoch: [36] [1260/5278] eta: 3:18:31 lr: 5.955218701233362e-06 loss: 0.0346 (0.0367) loss_seg: 0.0343 (0.0365) loss_lansim: 0.0196 (0.0200) loss_contra: 0.0001 (0.0013) time: 2.9739 data: 0.0055 max mem: 31630 Epoch: [36] [1270/5278] eta: 3:18:02 lr: 5.95251867007412e-06 loss: 0.0341 (0.0368) loss_seg: 0.0339 (0.0366) loss_lansim: 0.0193 (0.0200) loss_contra: 0.0001 (0.0013) time: 2.9736 data: 0.0056 max mem: 31630 Epoch: [36] [1280/5278] eta: 3:17:32 lr: 5.949818502828026e-06 loss: 0.0341 (0.0368) loss_seg: 0.0339 (0.0366) loss_lansim: 0.0194 (0.0200) loss_contra: 0.0001 (0.0013) time: 2.9733 data: 0.0055 max mem: 31630 Epoch: [36] [1290/5278] eta: 3:17:03 lr: 5.9471181994195835e-06 loss: 0.0341 (0.0368) loss_seg: 0.0339 (0.0365) loss_lansim: 0.0196 (0.0200) loss_contra: 0.0001 (0.0013) time: 2.9734 data: 0.0055 max mem: 31630 Epoch: [36] [1300/5278] eta: 3:16:33 lr: 5.944417759773228e-06 loss: 0.0341 (0.0368) loss_seg: 0.0339 (0.0366) loss_lansim: 0.0198 (0.0200) loss_contra: 0.0001 (0.0013) time: 2.9707 data: 0.0055 max mem: 31630 Epoch: [36] [1310/5278] eta: 3:16:04 lr: 5.941717183813315e-06 loss: 0.0348 (0.0369) loss_seg: 0.0346 (0.0367) loss_lansim: 0.0199 (0.0200) loss_contra: 0.0001 (0.0013) time: 2.9715 data: 0.0055 max mem: 31630 Epoch: [36] [1320/5278] eta: 3:15:34 lr: 5.93901647146412e-06 loss: 0.0346 (0.0369) loss_seg: 0.0343 (0.0366) loss_lansim: 0.0198 (0.0200) loss_contra: 0.0001 (0.0013) time: 2.9684 data: 0.0055 max mem: 31630 Epoch: [36] [1330/5278] eta: 3:15:04 lr: 5.936315622649824e-06 loss: 0.0333 (0.0368) loss_seg: 0.0331 (0.0366) loss_lansim: 0.0199 (0.0200) loss_contra: 0.0001 (0.0013) time: 2.9680 data: 0.0056 max mem: 31630 Epoch: [36] [1340/5278] eta: 3:14:34 lr: 5.933614637294543e-06 loss: 0.0348 (0.0368) loss_seg: 0.0346 (0.0366) loss_lansim: 0.0200 (0.0200) loss_contra: 0.0001 (0.0015) time: 2.9685 data: 0.0057 max mem: 31630 Epoch: [36] [1350/5278] eta: 3:14:05 lr: 5.930913515322308e-06 loss: 0.0345 (0.0368) loss_seg: 0.0343 (0.0366) loss_lansim: 0.0199 (0.0200) loss_contra: 0.0001 (0.0015) time: 2.9677 data: 0.0058 max mem: 31630 Epoch: [36] [1360/5278] eta: 3:13:35 lr: 5.928212256657077e-06 loss: 0.0348 (0.0369) loss_seg: 0.0346 (0.0367) loss_lansim: 0.0200 (0.0200) loss_contra: 0.0001 (0.0015) time: 2.9663 data: 0.0058 max mem: 31630 Epoch: [36] [1370/5278] eta: 3:13:06 lr: 5.925510861222706e-06 loss: 0.0348 (0.0369) loss_seg: 0.0346 (0.0367) loss_lansim: 0.0200 (0.0200) loss_contra: 0.0001 (0.0015) time: 2.9652 data: 0.0058 max mem: 31630 Epoch: [36] [1380/5278] eta: 3:12:37 lr: 5.9228093289429885e-06 loss: 0.0352 (0.0369) loss_seg: 0.0350 (0.0367) loss_lansim: 0.0199 (0.0200) loss_contra: 0.0001 (0.0015) time: 2.9683 data: 0.0059 max mem: 31630 Epoch: [36] [1390/5278] eta: 3:12:08 lr: 5.920107659741631e-06 loss: 0.0350 (0.0369) loss_seg: 0.0348 (0.0367) loss_lansim: 0.0201 (0.0200) loss_contra: 0.0001 (0.0015) time: 2.9686 data: 0.0059 max mem: 31630 Epoch: [36] [1400/5278] eta: 3:11:38 lr: 5.917405853542267e-06 loss: 0.0350 (0.0369) loss_seg: 0.0348 (0.0367) loss_lansim: 0.0201 (0.0200) loss_contra: 0.0001 (0.0015) time: 2.9707 data: 0.0059 max mem: 31630 Epoch: [36] [1410/5278] eta: 3:11:08 lr: 5.9147039102684284e-06 loss: 0.0350 (0.0369) loss_seg: 0.0348 (0.0367) loss_lansim: 0.0200 (0.0200) loss_contra: 0.0001 (0.0015) time: 2.9691 data: 0.0059 max mem: 31630 Epoch: [36] [1420/5278] eta: 3:10:38 lr: 5.912001829843584e-06 loss: 0.0350 (0.0369) loss_seg: 0.0348 (0.0366) loss_lansim: 0.0201 (0.0200) loss_contra: 0.0001 (0.0015) time: 2.9691 data: 0.0059 max mem: 31630 Epoch: [36] [1430/5278] eta: 3:10:09 lr: 5.909299612191113e-06 loss: 0.0358 (0.0368) loss_seg: 0.0355 (0.0366) loss_lansim: 0.0200 (0.0200) loss_contra: 0.0001 (0.0015) time: 2.9695 data: 0.0058 max mem: 31630 Epoch: [36] [1440/5278] eta: 3:09:39 lr: 5.906597257234318e-06 loss: 0.0360 (0.0369) loss_seg: 0.0358 (0.0367) loss_lansim: 0.0199 (0.0200) loss_contra: 0.0001 (0.0015) time: 2.9699 data: 0.0058 max mem: 31630 Epoch: [36] [1450/5278] eta: 3:09:09 lr: 5.903894764896421e-06 loss: 0.0373 (0.0369) loss_seg: 0.0370 (0.0367) loss_lansim: 0.0198 (0.0200) loss_contra: 0.0001 (0.0015) time: 2.9678 data: 0.0057 max mem: 31630 Epoch: [36] [1460/5278] eta: 3:08:40 lr: 5.9011921351005465e-06 loss: 0.0369 (0.0369) loss_seg: 0.0367 (0.0367) loss_lansim: 0.0197 (0.0200) loss_contra: 0.0001 (0.0015) time: 2.9684 data: 0.0057 max mem: 31630 Epoch: [36] [1470/5278] eta: 3:08:10 lr: 5.898489367769753e-06 loss: 0.0369 (0.0369) loss_seg: 0.0367 (0.0367) loss_lansim: 0.0197 (0.0200) loss_contra: 0.0001 (0.0015) time: 2.9679 data: 0.0057 max mem: 31630 Epoch: [36] [1480/5278] eta: 3:07:40 lr: 5.895786462827011e-06 loss: 0.0360 (0.0369) loss_seg: 0.0358 (0.0367) loss_lansim: 0.0201 (0.0200) loss_contra: 0.0001 (0.0015) time: 2.9648 data: 0.0056 max mem: 31630 Epoch: [36] [1490/5278] eta: 3:07:10 lr: 5.893083420195219e-06 loss: 0.0364 (0.0369) loss_seg: 0.0362 (0.0367) loss_lansim: 0.0201 (0.0200) loss_contra: 0.0002 (0.0015) time: 2.9625 data: 0.0056 max mem: 31630 Epoch: [36] [1500/5278] eta: 3:06:41 lr: 5.890380239797167e-06 loss: 0.0360 (0.0369) loss_seg: 0.0358 (0.0367) loss_lansim: 0.0201 (0.0200) loss_contra: 0.0002 (0.0015) time: 2.9613 data: 0.0056 max mem: 31630 Epoch: [36] [1510/5278] eta: 3:06:11 lr: 5.887676921555587e-06 loss: 0.0360 (0.0369) loss_seg: 0.0358 (0.0367) loss_lansim: 0.0201 (0.0200) loss_contra: 0.0002 (0.0015) time: 2.9637 data: 0.0056 max mem: 31630 Epoch: [36] [1520/5278] eta: 3:05:42 lr: 5.8849734653931175e-06 loss: 0.0360 (0.0368) loss_seg: 0.0358 (0.0366) loss_lansim: 0.0197 (0.0200) loss_contra: 0.0002 (0.0015) time: 2.9639 data: 0.0056 max mem: 31630 Epoch: [36] [1530/5278] eta: 3:05:12 lr: 5.882269871232325e-06 loss: 0.0353 (0.0368) loss_seg: 0.0351 (0.0366) loss_lansim: 0.0197 (0.0200) loss_contra: 0.0002 (0.0015) time: 2.9642 data: 0.0057 max mem: 31630 Epoch: [36] [1540/5278] eta: 3:04:42 lr: 5.879566138995671e-06 loss: 0.0346 (0.0368) loss_seg: 0.0343 (0.0366) loss_lansim: 0.0203 (0.0200) loss_contra: 0.0002 (0.0015) time: 2.9626 data: 0.0057 max mem: 31630 Epoch: [36] [1550/5278] eta: 3:04:13 lr: 5.876862268605554e-06 loss: 0.0345 (0.0368) loss_seg: 0.0343 (0.0366) loss_lansim: 0.0200 (0.0200) loss_contra: 0.0002 (0.0015) time: 2.9636 data: 0.0056 max mem: 31630 Epoch: [36] [1560/5278] eta: 3:03:43 lr: 5.874158259984281e-06 loss: 0.0346 (0.0368) loss_seg: 0.0343 (0.0366) loss_lansim: 0.0202 (0.0200) loss_contra: 0.0001 (0.0015) time: 2.9635 data: 0.0056 max mem: 31630 Epoch: [36] [1570/5278] eta: 3:03:13 lr: 5.871454113054084e-06 loss: 0.0343 (0.0368) loss_seg: 0.0341 (0.0366) loss_lansim: 0.0202 (0.0200) loss_contra: 0.0002 (0.0015) time: 2.9643 data: 0.0056 max mem: 31630 Epoch: [36] [1580/5278] eta: 3:02:44 lr: 5.868749827737092e-06 loss: 0.0345 (0.0368) loss_seg: 0.0343 (0.0366) loss_lansim: 0.0199 (0.0200) loss_contra: 0.0001 (0.0014) time: 2.9666 data: 0.0056 max mem: 31630 Epoch: [36] [1590/5278] eta: 3:02:14 lr: 5.8660454039553675e-06 loss: 0.0346 (0.0369) loss_seg: 0.0344 (0.0367) loss_lansim: 0.0199 (0.0200) loss_contra: 0.0001 (0.0015) time: 2.9669 data: 0.0057 max mem: 31630 Epoch: [36] [1600/5278] eta: 3:01:45 lr: 5.863340841630886e-06 loss: 0.0346 (0.0369) loss_seg: 0.0343 (0.0367) loss_lansim: 0.0197 (0.0200) loss_contra: 0.0001 (0.0015) time: 2.9665 data: 0.0056 max mem: 31630 Epoch: [36] [1610/5278] eta: 3:01:15 lr: 5.860636140685542e-06 loss: 0.0343 (0.0368) loss_seg: 0.0341 (0.0366) loss_lansim: 0.0199 (0.0200) loss_contra: 0.0001 (0.0014) time: 2.9655 data: 0.0057 max mem: 31630 Epoch: [36] [1620/5278] eta: 3:00:45 lr: 5.85793130104113e-06 loss: 0.0346 (0.0369) loss_seg: 0.0344 (0.0367) loss_lansim: 0.0200 (0.0201) loss_contra: 0.0001 (0.0014) time: 2.9660 data: 0.0057 max mem: 31630 Epoch: [36] [1630/5278] eta: 3:00:16 lr: 5.855226322619376e-06 loss: 0.0346 (0.0369) loss_seg: 0.0344 (0.0367) loss_lansim: 0.0204 (0.0201) loss_contra: 0.0001 (0.0014) time: 2.9678 data: 0.0057 max mem: 31630 Epoch: [36] [1640/5278] eta: 2:59:46 lr: 5.852521205341918e-06 loss: 0.0347 (0.0369) loss_seg: 0.0345 (0.0367) loss_lansim: 0.0199 (0.0201) loss_contra: 0.0001 (0.0014) time: 2.9676 data: 0.0057 max mem: 31630 Epoch: [36] [1650/5278] eta: 2:59:17 lr: 5.849815949130314e-06 loss: 0.0348 (0.0369) loss_seg: 0.0346 (0.0367) loss_lansim: 0.0200 (0.0201) loss_contra: 0.0001 (0.0014) time: 2.9674 data: 0.0057 max mem: 31630 Epoch: [36] [1660/5278] eta: 2:58:47 lr: 5.84711055390602e-06 loss: 0.0356 (0.0369) loss_seg: 0.0354 (0.0367) loss_lansim: 0.0199 (0.0201) loss_contra: 0.0001 (0.0014) time: 2.9668 data: 0.0057 max mem: 31630 Epoch: [36] [1670/5278] eta: 2:58:17 lr: 5.844405019590426e-06 loss: 0.0358 (0.0369) loss_seg: 0.0357 (0.0367) loss_lansim: 0.0204 (0.0201) loss_contra: 0.0001 (0.0014) time: 2.9656 data: 0.0057 max mem: 31630 Epoch: [36] [1680/5278] eta: 2:57:47 lr: 5.841699346104828e-06 loss: 0.0358 (0.0370) loss_seg: 0.0357 (0.0367) loss_lansim: 0.0206 (0.0201) loss_contra: 0.0001 (0.0014) time: 2.9603 data: 0.0057 max mem: 31630 Epoch: [36] [1690/5278] eta: 2:57:16 lr: 5.838993533370441e-06 loss: 0.0354 (0.0370) loss_seg: 0.0352 (0.0367) loss_lansim: 0.0206 (0.0201) loss_contra: 0.0001 (0.0014) time: 2.9561 data: 0.0057 max mem: 31630 Epoch: [36] [1700/5278] eta: 2:56:45 lr: 5.836287581308398e-06 loss: 0.0366 (0.0370) loss_seg: 0.0364 (0.0368) loss_lansim: 0.0207 (0.0201) loss_contra: 0.0001 (0.0014) time: 2.9508 data: 0.0057 max mem: 31630 Epoch: [36] [1710/5278] eta: 2:56:14 lr: 5.8335814898397286e-06 loss: 0.0378 (0.0370) loss_seg: 0.0375 (0.0368) loss_lansim: 0.0208 (0.0201) loss_contra: 0.0001 (0.0014) time: 2.9452 data: 0.0057 max mem: 31630 Epoch: [36] [1720/5278] eta: 2:55:44 lr: 5.830875258885398e-06 loss: 0.0366 (0.0370) loss_seg: 0.0364 (0.0368) loss_lansim: 0.0208 (0.0201) loss_contra: 0.0001 (0.0014) time: 2.9400 data: 0.0057 max mem: 31630 Epoch: [36] [1730/5278] eta: 2:55:13 lr: 5.828168888366276e-06 loss: 0.0366 (0.0370) loss_seg: 0.0364 (0.0367) loss_lansim: 0.0210 (0.0201) loss_contra: 0.0001 (0.0014) time: 2.9323 data: 0.0057 max mem: 31630 Epoch: [36] [1740/5278] eta: 2:54:42 lr: 5.825462378203154e-06 loss: 0.0365 (0.0370) loss_seg: 0.0363 (0.0368) loss_lansim: 0.0213 (0.0201) loss_contra: 0.0001 (0.0014) time: 2.9276 data: 0.0057 max mem: 31630 Epoch: [36] [1750/5278] eta: 2:54:12 lr: 5.8227557283167224e-06 loss: 0.0364 (0.0370) loss_seg: 0.0362 (0.0368) loss_lansim: 0.0209 (0.0201) loss_contra: 0.0001 (0.0014) time: 2.9229 data: 0.0058 max mem: 31630 Epoch: [36] [1760/5278] eta: 2:53:41 lr: 5.820048938627598e-06 loss: 0.0363 (0.0370) loss_seg: 0.0361 (0.0368) loss_lansim: 0.0210 (0.0201) loss_contra: 0.0001 (0.0014) time: 2.9192 data: 0.0058 max mem: 31630 Epoch: [36] [1770/5278] eta: 2:53:12 lr: 5.817342009056309e-06 loss: 0.0358 (0.0370) loss_seg: 0.0356 (0.0368) loss_lansim: 0.0203 (0.0201) loss_contra: 0.0001 (0.0014) time: 2.9220 data: 0.0058 max mem: 31630 Epoch: [36] [1780/5278] eta: 2:52:43 lr: 5.814634939523304e-06 loss: 0.0351 (0.0370) loss_seg: 0.0349 (0.0368) loss_lansim: 0.0203 (0.0201) loss_contra: 0.0001 (0.0014) time: 2.9265 data: 0.0058 max mem: 31630 Epoch: [36] [1790/5278] eta: 2:52:13 lr: 5.8119277299489246e-06 loss: 0.0347 (0.0370) loss_seg: 0.0345 (0.0368) loss_lansim: 0.0205 (0.0201) loss_contra: 0.0001 (0.0014) time: 2.9321 data: 0.0058 max mem: 31630 Epoch: [36] [1800/5278] eta: 2:51:44 lr: 5.809220380253446e-06 loss: 0.0347 (0.0370) loss_seg: 0.0345 (0.0368) loss_lansim: 0.0205 (0.0202) loss_contra: 0.0001 (0.0014) time: 2.9380 data: 0.0058 max mem: 31630 Epoch: [36] [1810/5278] eta: 2:51:14 lr: 5.80651289035705e-06 loss: 0.0343 (0.0370) loss_seg: 0.0340 (0.0368) loss_lansim: 0.0205 (0.0202) loss_contra: 0.0001 (0.0014) time: 2.9435 data: 0.0058 max mem: 31630 Epoch: [36] [1820/5278] eta: 2:50:45 lr: 5.803805260179837e-06 loss: 0.0338 (0.0369) loss_seg: 0.0336 (0.0367) loss_lansim: 0.0204 (0.0202) loss_contra: 0.0001 (0.0014) time: 2.9503 data: 0.0058 max mem: 31630 Epoch: [36] [1830/5278] eta: 2:50:15 lr: 5.801097489641803e-06 loss: 0.0342 (0.0369) loss_seg: 0.0339 (0.0367) loss_lansim: 0.0202 (0.0202) loss_contra: 0.0001 (0.0014) time: 2.9569 data: 0.0058 max mem: 31630 Epoch: [36] [1840/5278] eta: 2:49:46 lr: 5.798389578662875e-06 loss: 0.0342 (0.0369) loss_seg: 0.0339 (0.0367) loss_lansim: 0.0202 (0.0202) loss_contra: 0.0001 (0.0014) time: 2.9620 data: 0.0058 max mem: 31630 Epoch: [36] [1850/5278] eta: 2:49:16 lr: 5.795681527162885e-06 loss: 0.0338 (0.0369) loss_seg: 0.0335 (0.0367) loss_lansim: 0.0204 (0.0202) loss_contra: 0.0001 (0.0014) time: 2.9662 data: 0.0058 max mem: 31630 Epoch: [36] [1860/5278] eta: 2:48:46 lr: 5.792973335061586e-06 loss: 0.0338 (0.0369) loss_seg: 0.0335 (0.0367) loss_lansim: 0.0204 (0.0202) loss_contra: 0.0001 (0.0014) time: 2.9695 data: 0.0059 max mem: 31630 Epoch: [36] [1870/5278] eta: 2:48:17 lr: 5.790265002278626e-06 loss: 0.0337 (0.0368) loss_seg: 0.0329 (0.0366) loss_lansim: 0.0207 (0.0202) loss_contra: 0.0001 (0.0014) time: 2.9668 data: 0.0059 max mem: 31630 Epoch: [36] [1880/5278] eta: 2:47:47 lr: 5.787556528733579e-06 loss: 0.0338 (0.0369) loss_seg: 0.0335 (0.0366) loss_lansim: 0.0204 (0.0202) loss_contra: 0.0001 (0.0014) time: 2.9655 data: 0.0059 max mem: 31630 Epoch: [36] [1890/5278] eta: 2:47:18 lr: 5.784847914345929e-06 loss: 0.0345 (0.0369) loss_seg: 0.0343 (0.0367) loss_lansim: 0.0206 (0.0202) loss_contra: 0.0001 (0.0014) time: 2.9660 data: 0.0059 max mem: 31630 Epoch: [36] [1900/5278] eta: 2:46:48 lr: 5.782139159035072e-06 loss: 0.0338 (0.0369) loss_seg: 0.0336 (0.0367) loss_lansim: 0.0206 (0.0202) loss_contra: 0.0001 (0.0014) time: 2.9666 data: 0.0059 max mem: 31630 Epoch: [36] [1910/5278] eta: 2:46:18 lr: 5.779430262720319e-06 loss: 0.0350 (0.0369) loss_seg: 0.0347 (0.0367) loss_lansim: 0.0205 (0.0202) loss_contra: 0.0001 (0.0014) time: 2.9655 data: 0.0060 max mem: 31630 Epoch: [36] [1920/5278] eta: 2:45:49 lr: 5.7767212253208784e-06 loss: 0.0361 (0.0370) loss_seg: 0.0359 (0.0368) loss_lansim: 0.0205 (0.0202) loss_contra: 0.0001 (0.0014) time: 2.9633 data: 0.0060 max mem: 31630 Epoch: [36] [1930/5278] eta: 2:45:19 lr: 5.774012046755886e-06 loss: 0.0359 (0.0370) loss_seg: 0.0357 (0.0367) loss_lansim: 0.0207 (0.0202) loss_contra: 0.0002 (0.0014) time: 2.9616 data: 0.0060 max mem: 31630 Epoch: [36] [1940/5278] eta: 2:44:50 lr: 5.7713027269443825e-06 loss: 0.0363 (0.0370) loss_seg: 0.0361 (0.0368) loss_lansim: 0.0208 (0.0202) loss_contra: 0.0001 (0.0014) time: 2.9625 data: 0.0061 max mem: 31630 Epoch: [36] [1950/5278] eta: 2:44:20 lr: 5.768593265805328e-06 loss: 0.0371 (0.0370) loss_seg: 0.0368 (0.0368) loss_lansim: 0.0208 (0.0202) loss_contra: 0.0001 (0.0014) time: 2.9659 data: 0.0061 max mem: 31630 Epoch: [36] [1960/5278] eta: 2:43:51 lr: 5.765883663257574e-06 loss: 0.0363 (0.0370) loss_seg: 0.0361 (0.0367) loss_lansim: 0.0208 (0.0202) loss_contra: 0.0001 (0.0014) time: 2.9654 data: 0.0060 max mem: 31630 Epoch: [36] [1970/5278] eta: 2:43:21 lr: 5.7631739192199025e-06 loss: 0.0370 (0.0369) loss_seg: 0.0368 (0.0367) loss_lansim: 0.0210 (0.0202) loss_contra: 0.0001 (0.0014) time: 2.9668 data: 0.0060 max mem: 31630 Epoch: [36] [1980/5278] eta: 2:42:51 lr: 5.760464033610999e-06 loss: 0.0366 (0.0370) loss_seg: 0.0363 (0.0368) loss_lansim: 0.0210 (0.0202) loss_contra: 0.0001 (0.0014) time: 2.9674 data: 0.0060 max mem: 31630 Epoch: [36] [1990/5278] eta: 2:42:22 lr: 5.757754006349466e-06 loss: 0.0360 (0.0370) loss_seg: 0.0357 (0.0367) loss_lansim: 0.0210 (0.0202) loss_contra: 0.0001 (0.0014) time: 2.9660 data: 0.0060 max mem: 31630 Epoch: [36] [2000/5278] eta: 2:41:52 lr: 5.755043837353799e-06 loss: 0.0360 (0.0370) loss_seg: 0.0357 (0.0368) loss_lansim: 0.0209 (0.0202) loss_contra: 0.0001 (0.0014) time: 2.9652 data: 0.0060 max mem: 31630 Epoch: [36] [2010/5278] eta: 2:41:23 lr: 5.752333526542421e-06 loss: 0.0334 (0.0369) loss_seg: 0.0332 (0.0367) loss_lansim: 0.0210 (0.0203) loss_contra: 0.0001 (0.0014) time: 2.9677 data: 0.0060 max mem: 31630 Epoch: [36] [2020/5278] eta: 2:40:53 lr: 5.7496230738336635e-06 loss: 0.0332 (0.0370) loss_seg: 0.0330 (0.0367) loss_lansim: 0.0210 (0.0203) loss_contra: 0.0001 (0.0013) time: 2.9683 data: 0.0060 max mem: 31630 Epoch: [36] [2030/5278] eta: 2:40:24 lr: 5.746912479145767e-06 loss: 0.0328 (0.0370) loss_seg: 0.0326 (0.0367) loss_lansim: 0.0210 (0.0203) loss_contra: 0.0001 (0.0013) time: 2.9692 data: 0.0060 max mem: 31630 Epoch: [36] [2040/5278] eta: 2:39:54 lr: 5.74420174239687e-06 loss: 0.0326 (0.0370) loss_seg: 0.0324 (0.0367) loss_lansim: 0.0209 (0.0203) loss_contra: 0.0001 (0.0013) time: 2.9687 data: 0.0059 max mem: 31630 Epoch: [36] [2050/5278] eta: 2:39:24 lr: 5.741490863505035e-06 loss: 0.0323 (0.0369) loss_seg: 0.0321 (0.0367) loss_lansim: 0.0209 (0.0203) loss_contra: 0.0001 (0.0013) time: 2.9656 data: 0.0059 max mem: 31630 Epoch: [36] [2060/5278] eta: 2:38:55 lr: 5.738779842388233e-06 loss: 0.0327 (0.0369) loss_seg: 0.0325 (0.0367) loss_lansim: 0.0209 (0.0203) loss_contra: 0.0001 (0.0013) time: 2.9657 data: 0.0059 max mem: 31630 Epoch: [36] [2070/5278] eta: 2:38:25 lr: 5.736068678964344e-06 loss: 0.0326 (0.0369) loss_seg: 0.0324 (0.0367) loss_lansim: 0.0207 (0.0203) loss_contra: 0.0001 (0.0013) time: 2.9645 data: 0.0060 max mem: 31630 Epoch: [36] [2080/5278] eta: 2:37:55 lr: 5.733357373151144e-06 loss: 0.0328 (0.0369) loss_seg: 0.0326 (0.0367) loss_lansim: 0.0208 (0.0203) loss_contra: 0.0001 (0.0013) time: 2.9642 data: 0.0061 max mem: 31630 Epoch: [36] [2090/5278] eta: 2:37:26 lr: 5.730645924866337e-06 loss: 0.0343 (0.0370) loss_seg: 0.0341 (0.0367) loss_lansim: 0.0207 (0.0203) loss_contra: 0.0001 (0.0013) time: 2.9671 data: 0.0062 max mem: 31630 Epoch: [36] [2100/5278] eta: 2:36:56 lr: 5.727934334027526e-06 loss: 0.0331 (0.0369) loss_seg: 0.0329 (0.0367) loss_lansim: 0.0205 (0.0203) loss_contra: 0.0001 (0.0013) time: 2.9663 data: 0.0062 max mem: 31630 Epoch: [36] [2110/5278] eta: 2:36:27 lr: 5.725222600552232e-06 loss: 0.0353 (0.0369) loss_seg: 0.0351 (0.0367) loss_lansim: 0.0206 (0.0203) loss_contra: 0.0001 (0.0013) time: 2.9665 data: 0.0062 max mem: 31630 Epoch: [36] [2120/5278] eta: 2:35:58 lr: 5.722510724357867e-06 loss: 0.0345 (0.0369) loss_seg: 0.0343 (0.0367) loss_lansim: 0.0206 (0.0203) loss_contra: 0.0001 (0.0013) time: 2.9686 data: 0.0061 max mem: 31630 Epoch: [36] [2130/5278] eta: 2:35:28 lr: 5.719798705361768e-06 loss: 0.0345 (0.0369) loss_seg: 0.0342 (0.0367) loss_lansim: 0.0206 (0.0203) loss_contra: 0.0001 (0.0013) time: 2.9676 data: 0.0061 max mem: 31630 Epoch: [36] [2140/5278] eta: 2:34:59 lr: 5.717086543481176e-06 loss: 0.0345 (0.0369) loss_seg: 0.0343 (0.0367) loss_lansim: 0.0209 (0.0203) loss_contra: 0.0001 (0.0013) time: 2.9685 data: 0.0061 max mem: 31630 Epoch: [36] [2150/5278] eta: 2:34:29 lr: 5.714374238633239e-06 loss: 0.0353 (0.0369) loss_seg: 0.0351 (0.0367) loss_lansim: 0.0209 (0.0203) loss_contra: 0.0001 (0.0013) time: 2.9690 data: 0.0061 max mem: 31630 Epoch: [36] [2160/5278] eta: 2:33:59 lr: 5.711661790735021e-06 loss: 0.0352 (0.0369) loss_seg: 0.0350 (0.0367) loss_lansim: 0.0211 (0.0203) loss_contra: 0.0001 (0.0013) time: 2.9697 data: 0.0061 max mem: 31630 Epoch: [36] [2170/5278] eta: 2:33:29 lr: 5.7089491997034735e-06 loss: 0.0355 (0.0369) loss_seg: 0.0354 (0.0367) loss_lansim: 0.0210 (0.0203) loss_contra: 0.0001 (0.0013) time: 2.9662 data: 0.0060 max mem: 31630 Epoch: [36] [2180/5278] eta: 2:32:56 lr: 5.706236465455477e-06 loss: 0.0345 (0.0369) loss_seg: 0.0342 (0.0367) loss_lansim: 0.0209 (0.0203) loss_contra: 0.0001 (0.0013) time: 2.9390 data: 0.0058 max mem: 31630 Epoch: [36] [2190/5278] eta: 2:32:22 lr: 5.703523587907811e-06 loss: 0.0341 (0.0369) loss_seg: 0.0338 (0.0367) loss_lansim: 0.0209 (0.0203) loss_contra: 0.0001 (0.0014) time: 2.9107 data: 0.0057 max mem: 31630 Epoch: [36] [2200/5278] eta: 2:31:49 lr: 5.700810566977171e-06 loss: 0.0345 (0.0369) loss_seg: 0.0342 (0.0367) loss_lansim: 0.0209 (0.0203) loss_contra: 0.0001 (0.0014) time: 2.8861 data: 0.0056 max mem: 31630 Epoch: [36] [2210/5278] eta: 2:31:16 lr: 5.69809740258014e-06 loss: 0.0340 (0.0369) loss_seg: 0.0337 (0.0367) loss_lansim: 0.0209 (0.0203) loss_contra: 0.0001 (0.0014) time: 2.8586 data: 0.0056 max mem: 31630 Epoch: [36] [2220/5278] eta: 2:30:43 lr: 5.695384094633228e-06 loss: 0.0340 (0.0369) loss_seg: 0.0332 (0.0367) loss_lansim: 0.0208 (0.0203) loss_contra: 0.0001 (0.0014) time: 2.8314 data: 0.0056 max mem: 31630 Epoch: [36] [2230/5278] eta: 2:30:10 lr: 5.6926706430528464e-06 loss: 0.0345 (0.0369) loss_seg: 0.0339 (0.0367) loss_lansim: 0.0208 (0.0203) loss_contra: 0.0001 (0.0014) time: 2.8074 data: 0.0055 max mem: 31630 Epoch: [36] [2240/5278] eta: 2:29:38 lr: 5.689957047755317e-06 loss: 0.0341 (0.0369) loss_seg: 0.0332 (0.0367) loss_lansim: 0.0208 (0.0203) loss_contra: 0.0001 (0.0015) time: 2.7811 data: 0.0055 max mem: 31630 Epoch: [36] [2250/5278] eta: 2:29:05 lr: 5.687243308656852e-06 loss: 0.0331 (0.0369) loss_seg: 0.0329 (0.0366) loss_lansim: 0.0205 (0.0203) loss_contra: 0.0001 (0.0015) time: 2.7560 data: 0.0054 max mem: 31630 Epoch: [36] [2260/5278] eta: 2:28:32 lr: 5.684529425673589e-06 loss: 0.0336 (0.0369) loss_seg: 0.0332 (0.0367) loss_lansim: 0.0205 (0.0204) loss_contra: 0.0001 (0.0015) time: 2.7314 data: 0.0054 max mem: 31630 Epoch: [36] [2270/5278] eta: 2:27:59 lr: 5.681815398721567e-06 loss: 0.0332 (0.0369) loss_seg: 0.0330 (0.0367) loss_lansim: 0.0205 (0.0204) loss_contra: 0.0002 (0.0015) time: 2.7102 data: 0.0054 max mem: 31630 Epoch: [36] [2280/5278] eta: 2:27:27 lr: 5.679101227716735e-06 loss: 0.0336 (0.0369) loss_seg: 0.0332 (0.0367) loss_lansim: 0.0206 (0.0204) loss_contra: 0.0002 (0.0015) time: 2.7124 data: 0.0054 max mem: 31630 Epoch: [36] [2290/5278] eta: 2:26:54 lr: 5.676386912574929e-06 loss: 0.0333 (0.0369) loss_seg: 0.0331 (0.0366) loss_lansim: 0.0206 (0.0204) loss_contra: 0.0002 (0.0015) time: 2.7130 data: 0.0054 max mem: 31630 Epoch: [36] [2300/5278] eta: 2:26:21 lr: 5.6736724532119136e-06 loss: 0.0333 (0.0369) loss_seg: 0.0331 (0.0366) loss_lansim: 0.0208 (0.0204) loss_contra: 0.0001 (0.0015) time: 2.7129 data: 0.0054 max mem: 31630 Epoch: [36] [2310/5278] eta: 2:25:49 lr: 5.670957849543352e-06 loss: 0.0341 (0.0368) loss_seg: 0.0339 (0.0366) loss_lansim: 0.0209 (0.0204) loss_contra: 0.0001 (0.0015) time: 2.7134 data: 0.0053 max mem: 31630 Epoch: [36] [2320/5278] eta: 2:25:16 lr: 5.668243101484817e-06 loss: 0.0342 (0.0368) loss_seg: 0.0340 (0.0366) loss_lansim: 0.0209 (0.0204) loss_contra: 0.0001 (0.0015) time: 2.7132 data: 0.0054 max mem: 31630 Epoch: [36] [2330/5278] eta: 2:24:44 lr: 5.66552820895177e-06 loss: 0.0342 (0.0368) loss_seg: 0.0340 (0.0366) loss_lansim: 0.0210 (0.0204) loss_contra: 0.0001 (0.0015) time: 2.7124 data: 0.0054 max mem: 31630 Epoch: [36] [2340/5278] eta: 2:24:12 lr: 5.6628131718595985e-06 loss: 0.0347 (0.0368) loss_seg: 0.0344 (0.0366) loss_lansim: 0.0211 (0.0204) loss_contra: 0.0001 (0.0015) time: 2.7123 data: 0.0053 max mem: 31630 Epoch: [36] [2350/5278] eta: 2:23:39 lr: 5.660097990123584e-06 loss: 0.0348 (0.0368) loss_seg: 0.0346 (0.0366) loss_lansim: 0.0214 (0.0204) loss_contra: 0.0001 (0.0015) time: 2.7116 data: 0.0053 max mem: 31630 Epoch: [36] [2360/5278] eta: 2:23:07 lr: 5.6573826636589244e-06 loss: 0.0342 (0.0368) loss_seg: 0.0340 (0.0366) loss_lansim: 0.0216 (0.0204) loss_contra: 0.0001 (0.0015) time: 2.7111 data: 0.0053 max mem: 31630 Epoch: [36] [2370/5278] eta: 2:22:34 lr: 5.654667192380702e-06 loss: 0.0344 (0.0368) loss_seg: 0.0341 (0.0366) loss_lansim: 0.0216 (0.0204) loss_contra: 0.0001 (0.0015) time: 2.7103 data: 0.0053 max mem: 31630 Epoch: [36] [2380/5278] eta: 2:22:02 lr: 5.6519515762039214e-06 loss: 0.0341 (0.0368) loss_seg: 0.0338 (0.0366) loss_lansim: 0.0216 (0.0204) loss_contra: 0.0001 (0.0015) time: 2.7094 data: 0.0054 max mem: 31630 Epoch: [36] [2390/5278] eta: 2:21:30 lr: 5.649235815043489e-06 loss: 0.0344 (0.0368) loss_seg: 0.0341 (0.0366) loss_lansim: 0.0216 (0.0204) loss_contra: 0.0001 (0.0015) time: 2.7073 data: 0.0055 max mem: 31630 Epoch: [36] [2400/5278] eta: 2:20:58 lr: 5.646519908814212e-06 loss: 0.0342 (0.0368) loss_seg: 0.0340 (0.0366) loss_lansim: 0.0216 (0.0204) loss_contra: 0.0002 (0.0015) time: 2.7067 data: 0.0055 max mem: 31630 Epoch: [36] [2410/5278] eta: 2:20:25 lr: 5.64380385743081e-06 loss: 0.0344 (0.0368) loss_seg: 0.0341 (0.0366) loss_lansim: 0.0211 (0.0204) loss_contra: 0.0001 (0.0015) time: 2.7058 data: 0.0056 max mem: 31630 Epoch: [36] [2420/5278] eta: 2:19:53 lr: 5.64108766080789e-06 loss: 0.0342 (0.0368) loss_seg: 0.0341 (0.0366) loss_lansim: 0.0211 (0.0204) loss_contra: 0.0001 (0.0015) time: 2.7051 data: 0.0056 max mem: 31630 Epoch: [36] [2430/5278] eta: 2:19:21 lr: 5.638371318859977e-06 loss: 0.0341 (0.0368) loss_seg: 0.0338 (0.0366) loss_lansim: 0.0209 (0.0204) loss_contra: 0.0001 (0.0015) time: 2.7043 data: 0.0056 max mem: 31630 Epoch: [36] [2440/5278] eta: 2:18:49 lr: 5.635654831501497e-06 loss: 0.0333 (0.0368) loss_seg: 0.0331 (0.0366) loss_lansim: 0.0208 (0.0204) loss_contra: 0.0001 (0.0015) time: 2.7029 data: 0.0057 max mem: 31630 Epoch: [36] [2450/5278] eta: 2:18:17 lr: 5.632938198646788e-06 loss: 0.0333 (0.0368) loss_seg: 0.0331 (0.0366) loss_lansim: 0.0207 (0.0204) loss_contra: 0.0001 (0.0015) time: 2.7022 data: 0.0057 max mem: 31630 Epoch: [36] [2460/5278] eta: 2:17:45 lr: 5.630221420210068e-06 loss: 0.0333 (0.0368) loss_seg: 0.0331 (0.0365) loss_lansim: 0.0207 (0.0204) loss_contra: 0.0001 (0.0015) time: 2.7007 data: 0.0057 max mem: 31630 Epoch: [36] [2470/5278] eta: 2:17:13 lr: 5.6275044961054794e-06 loss: 0.0333 (0.0367) loss_seg: 0.0331 (0.0365) loss_lansim: 0.0208 (0.0204) loss_contra: 0.0001 (0.0015) time: 2.6997 data: 0.0058 max mem: 31630 Epoch: [36] [2480/5278] eta: 2:16:41 lr: 5.6247874262470616e-06 loss: 0.0333 (0.0367) loss_seg: 0.0331 (0.0365) loss_lansim: 0.0210 (0.0205) loss_contra: 0.0001 (0.0015) time: 2.6982 data: 0.0057 max mem: 31630 Epoch: [36] [2490/5278] eta: 2:16:09 lr: 5.622070210548766e-06 loss: 0.0331 (0.0367) loss_seg: 0.0329 (0.0365) loss_lansim: 0.0210 (0.0205) loss_contra: 0.0001 (0.0015) time: 2.6991 data: 0.0058 max mem: 31630 Epoch: [36] [2500/5278] eta: 2:15:37 lr: 5.619352848924422e-06 loss: 0.0328 (0.0367) loss_seg: 0.0326 (0.0365) loss_lansim: 0.0210 (0.0205) loss_contra: 0.0001 (0.0015) time: 2.6985 data: 0.0059 max mem: 31630 Epoch: [36] [2510/5278] eta: 2:15:05 lr: 5.616635341287786e-06 loss: 0.0320 (0.0367) loss_seg: 0.0318 (0.0365) loss_lansim: 0.0218 (0.0205) loss_contra: 0.0001 (0.0015) time: 2.6984 data: 0.0059 max mem: 31630 Epoch: [36] [2520/5278] eta: 2:14:33 lr: 5.6139176875525095e-06 loss: 0.0319 (0.0367) loss_seg: 0.0317 (0.0364) loss_lansim: 0.0211 (0.0205) loss_contra: 0.0001 (0.0015) time: 2.6978 data: 0.0059 max mem: 31630 Epoch: [36] [2530/5278] eta: 2:14:02 lr: 5.611199887632152e-06 loss: 0.0313 (0.0367) loss_seg: 0.0310 (0.0364) loss_lansim: 0.0213 (0.0205) loss_contra: 0.0001 (0.0015) time: 2.6976 data: 0.0059 max mem: 31630 Epoch: [36] [2540/5278] eta: 2:13:30 lr: 5.608481941440156e-06 loss: 0.0317 (0.0366) loss_seg: 0.0315 (0.0364) loss_lansim: 0.0213 (0.0205) loss_contra: 0.0001 (0.0015) time: 2.6970 data: 0.0059 max mem: 31630 Epoch: [36] [2550/5278] eta: 2:12:58 lr: 5.605763848889886e-06 loss: 0.0317 (0.0366) loss_seg: 0.0315 (0.0364) loss_lansim: 0.0215 (0.0205) loss_contra: 0.0001 (0.0014) time: 2.6967 data: 0.0059 max mem: 31630 Epoch: [36] [2560/5278] eta: 2:12:26 lr: 5.603045609894602e-06 loss: 0.0314 (0.0366) loss_seg: 0.0312 (0.0364) loss_lansim: 0.0211 (0.0205) loss_contra: 0.0001 (0.0014) time: 2.6962 data: 0.0059 max mem: 31630 Epoch: [36] [2570/5278] eta: 2:11:55 lr: 5.600327224367471e-06 loss: 0.0317 (0.0366) loss_seg: 0.0315 (0.0364) loss_lansim: 0.0215 (0.0205) loss_contra: 0.0001 (0.0014) time: 2.6958 data: 0.0060 max mem: 31630 Epoch: [36] [2580/5278] eta: 2:11:23 lr: 5.597608692221544e-06 loss: 0.0317 (0.0366) loss_seg: 0.0315 (0.0364) loss_lansim: 0.0210 (0.0205) loss_contra: 0.0001 (0.0014) time: 2.6961 data: 0.0060 max mem: 31630 Epoch: [36] [2590/5278] eta: 2:10:51 lr: 5.594890013369792e-06 loss: 0.0326 (0.0366) loss_seg: 0.0324 (0.0364) loss_lansim: 0.0210 (0.0205) loss_contra: 0.0001 (0.0014) time: 2.6952 data: 0.0059 max mem: 31630 Epoch: [36] [2600/5278] eta: 2:10:20 lr: 5.592171187725083e-06 loss: 0.0338 (0.0366) loss_seg: 0.0336 (0.0364) loss_lansim: 0.0210 (0.0205) loss_contra: 0.0001 (0.0014) time: 2.6947 data: 0.0058 max mem: 31630 Epoch: [36] [2610/5278] eta: 2:09:48 lr: 5.589452215200188e-06 loss: 0.0340 (0.0366) loss_seg: 0.0338 (0.0364) loss_lansim: 0.0208 (0.0205) loss_contra: 0.0001 (0.0014) time: 2.6934 data: 0.0057 max mem: 31630 Epoch: [36] [2620/5278] eta: 2:09:17 lr: 5.586733095707764e-06 loss: 0.0341 (0.0366) loss_seg: 0.0339 (0.0364) loss_lansim: 0.0211 (0.0205) loss_contra: 0.0001 (0.0014) time: 2.6929 data: 0.0056 max mem: 31630 Epoch: [36] [2630/5278] eta: 2:08:45 lr: 5.584013829160385e-06 loss: 0.0348 (0.0367) loss_seg: 0.0345 (0.0364) loss_lansim: 0.0211 (0.0205) loss_contra: 0.0001 (0.0014) time: 2.6914 data: 0.0056 max mem: 31630 Epoch: [36] [2640/5278] eta: 2:08:14 lr: 5.581294415470522e-06 loss: 0.0349 (0.0367) loss_seg: 0.0347 (0.0364) loss_lansim: 0.0211 (0.0205) loss_contra: 0.0001 (0.0014) time: 2.6911 data: 0.0057 max mem: 31630 Epoch: [36] [2650/5278] eta: 2:07:42 lr: 5.578574854550544e-06 loss: 0.0349 (0.0367) loss_seg: 0.0347 (0.0364) loss_lansim: 0.0211 (0.0205) loss_contra: 0.0001 (0.0014) time: 2.6908 data: 0.0057 max mem: 31630 Epoch: [36] [2660/5278] eta: 2:07:11 lr: 5.57585514631273e-06 loss: 0.0360 (0.0367) loss_seg: 0.0358 (0.0364) loss_lansim: 0.0212 (0.0205) loss_contra: 0.0001 (0.0014) time: 2.6902 data: 0.0058 max mem: 31630 Epoch: [36] [2670/5278] eta: 2:06:40 lr: 5.573135290669234e-06 loss: 0.0361 (0.0366) loss_seg: 0.0359 (0.0364) loss_lansim: 0.0211 (0.0205) loss_contra: 0.0001 (0.0014) time: 2.6894 data: 0.0057 max mem: 31630 Epoch: [36] [2680/5278] eta: 2:06:08 lr: 5.570415287532137e-06 loss: 0.0361 (0.0366) loss_seg: 0.0359 (0.0364) loss_lansim: 0.0212 (0.0206) loss_contra: 0.0001 (0.0014) time: 2.6884 data: 0.0058 max mem: 31630 Epoch: [36] [2690/5278] eta: 2:05:37 lr: 5.567695136813406e-06 loss: 0.0351 (0.0366) loss_seg: 0.0349 (0.0364) loss_lansim: 0.0212 (0.0206) loss_contra: 0.0001 (0.0014) time: 2.6878 data: 0.0057 max mem: 31630 Epoch: [36] [2700/5278] eta: 2:05:06 lr: 5.56497483842492e-06 loss: 0.0347 (0.0366) loss_seg: 0.0344 (0.0364) loss_lansim: 0.0213 (0.0206) loss_contra: 0.0001 (0.0014) time: 2.6866 data: 0.0057 max mem: 31630 Epoch: [36] [2710/5278] eta: 2:04:34 lr: 5.562254392278434e-06 loss: 0.0338 (0.0366) loss_seg: 0.0336 (0.0364) loss_lansim: 0.0211 (0.0206) loss_contra: 0.0001 (0.0014) time: 2.6859 data: 0.0057 max mem: 31630 Epoch: [36] [2720/5278] eta: 2:04:03 lr: 5.5595337982856245e-06 loss: 0.0335 (0.0366) loss_seg: 0.0332 (0.0364) loss_lansim: 0.0211 (0.0206) loss_contra: 0.0001 (0.0014) time: 2.6849 data: 0.0057 max mem: 31630 Epoch: [36] [2730/5278] eta: 2:03:32 lr: 5.5568130563580584e-06 loss: 0.0338 (0.0366) loss_seg: 0.0336 (0.0364) loss_lansim: 0.0211 (0.0206) loss_contra: 0.0001 (0.0014) time: 2.6847 data: 0.0057 max mem: 31630 Epoch: [36] [2740/5278] eta: 2:03:01 lr: 5.55409216640721e-06 loss: 0.0335 (0.0366) loss_seg: 0.0332 (0.0364) loss_lansim: 0.0210 (0.0206) loss_contra: 0.0001 (0.0014) time: 2.6848 data: 0.0057 max mem: 31630 Epoch: [36] [2750/5278] eta: 2:02:30 lr: 5.551371128344432e-06 loss: 0.0341 (0.0366) loss_seg: 0.0339 (0.0364) loss_lansim: 0.0210 (0.0206) loss_contra: 0.0001 (0.0014) time: 2.6843 data: 0.0056 max mem: 31630 Epoch: [36] [2760/5278] eta: 2:01:58 lr: 5.548649942080994e-06 loss: 0.0335 (0.0366) loss_seg: 0.0332 (0.0364) loss_lansim: 0.0210 (0.0206) loss_contra: 0.0001 (0.0014) time: 2.6844 data: 0.0056 max mem: 31630 Epoch: [36] [2770/5278] eta: 2:01:27 lr: 5.54592860752806e-06 loss: 0.0332 (0.0366) loss_seg: 0.0329 (0.0364) loss_lansim: 0.0209 (0.0206) loss_contra: 0.0001 (0.0014) time: 2.6845 data: 0.0056 max mem: 31630 Epoch: [36] [2780/5278] eta: 2:00:56 lr: 5.543207124596696e-06 loss: 0.0332 (0.0366) loss_seg: 0.0329 (0.0364) loss_lansim: 0.0209 (0.0206) loss_contra: 0.0001 (0.0014) time: 2.6847 data: 0.0057 max mem: 31630 Epoch: [36] [2790/5278] eta: 2:00:25 lr: 5.54048549319785e-06 loss: 0.0335 (0.0366) loss_seg: 0.0333 (0.0364) loss_lansim: 0.0209 (0.0206) loss_contra: 0.0001 (0.0014) time: 2.6842 data: 0.0058 max mem: 31630 Epoch: [36] [2800/5278] eta: 1:59:54 lr: 5.537763713242386e-06 loss: 0.0338 (0.0366) loss_seg: 0.0336 (0.0364) loss_lansim: 0.0207 (0.0206) loss_contra: 0.0001 (0.0014) time: 2.6842 data: 0.0058 max mem: 31630 Epoch: [36] [2810/5278] eta: 1:59:23 lr: 5.535041784641057e-06 loss: 0.0343 (0.0366) loss_seg: 0.0340 (0.0364) loss_lansim: 0.0209 (0.0206) loss_contra: 0.0001 (0.0014) time: 2.6844 data: 0.0058 max mem: 31630 Epoch: [36] [2820/5278] eta: 1:58:52 lr: 5.532319707304522e-06 loss: 0.0343 (0.0366) loss_seg: 0.0340 (0.0364) loss_lansim: 0.0209 (0.0206) loss_contra: 0.0001 (0.0014) time: 2.6847 data: 0.0059 max mem: 31630 Epoch: [36] [2830/5278] eta: 1:58:21 lr: 5.52959748114332e-06 loss: 0.0335 (0.0366) loss_seg: 0.0333 (0.0364) loss_lansim: 0.0209 (0.0206) loss_contra: 0.0001 (0.0014) time: 2.6847 data: 0.0058 max mem: 31630 Epoch: [36] [2840/5278] eta: 1:57:51 lr: 5.526875106067902e-06 loss: 0.0335 (0.0366) loss_seg: 0.0333 (0.0364) loss_lansim: 0.0209 (0.0206) loss_contra: 0.0001 (0.0014) time: 2.6835 data: 0.0057 max mem: 31630 Epoch: [36] [2850/5278] eta: 1:57:22 lr: 5.524152581988614e-06 loss: 0.0331 (0.0366) loss_seg: 0.0328 (0.0364) loss_lansim: 0.0208 (0.0206) loss_contra: 0.0001 (0.0014) time: 2.7072 data: 0.0057 max mem: 31630 Epoch: [36] [2860/5278] eta: 1:56:53 lr: 5.521429908815703e-06 loss: 0.0321 (0.0366) loss_seg: 0.0319 (0.0364) loss_lansim: 0.0211 (0.0206) loss_contra: 0.0001 (0.0014) time: 2.7360 data: 0.0056 max mem: 31630 Epoch: [36] [2870/5278] eta: 1:56:25 lr: 5.518707086459293e-06 loss: 0.0340 (0.0366) loss_seg: 0.0338 (0.0364) loss_lansim: 0.0211 (0.0206) loss_contra: 0.0001 (0.0014) time: 2.7635 data: 0.0056 max mem: 31630 Epoch: [36] [2880/5278] eta: 1:55:56 lr: 5.515984114829427e-06 loss: 0.0346 (0.0366) loss_seg: 0.0344 (0.0364) loss_lansim: 0.0211 (0.0206) loss_contra: 0.0001 (0.0014) time: 2.7901 data: 0.0056 max mem: 31630 Epoch: [36] [2890/5278] eta: 1:55:28 lr: 5.513260993836034e-06 loss: 0.0350 (0.0366) loss_seg: 0.0347 (0.0364) loss_lansim: 0.0212 (0.0206) loss_contra: 0.0001 (0.0014) time: 2.8194 data: 0.0057 max mem: 31630 Epoch: [36] [2900/5278] eta: 1:54:59 lr: 5.510537723388941e-06 loss: 0.0350 (0.0366) loss_seg: 0.0347 (0.0364) loss_lansim: 0.0212 (0.0206) loss_contra: 0.0001 (0.0014) time: 2.8482 data: 0.0058 max mem: 31630 Epoch: [36] [2910/5278] eta: 1:54:31 lr: 5.507814303397877e-06 loss: 0.0350 (0.0366) loss_seg: 0.0347 (0.0364) loss_lansim: 0.0212 (0.0206) loss_contra: 0.0001 (0.0014) time: 2.8757 data: 0.0059 max mem: 31630 Epoch: [36] [2920/5278] eta: 1:54:02 lr: 5.505090733772449e-06 loss: 0.0350 (0.0366) loss_seg: 0.0347 (0.0364) loss_lansim: 0.0212 (0.0206) loss_contra: 0.0001 (0.0014) time: 2.9031 data: 0.0060 max mem: 31630 Epoch: [36] [2930/5278] eta: 1:53:34 lr: 5.502367014422177e-06 loss: 0.0346 (0.0366) loss_seg: 0.0344 (0.0364) loss_lansim: 0.0212 (0.0206) loss_contra: 0.0001 (0.0014) time: 2.9324 data: 0.0061 max mem: 31630 Epoch: [36] [2940/5278] eta: 1:53:05 lr: 5.499643145256472e-06 loss: 0.0347 (0.0366) loss_seg: 0.0344 (0.0364) loss_lansim: 0.0212 (0.0206) loss_contra: 0.0001 (0.0014) time: 2.9625 data: 0.0062 max mem: 31630 Epoch: [36] [2950/5278] eta: 1:52:37 lr: 5.496919126184645e-06 loss: 0.0349 (0.0366) loss_seg: 0.0347 (0.0364) loss_lansim: 0.0213 (0.0206) loss_contra: 0.0001 (0.0014) time: 2.9684 data: 0.0063 max mem: 31630 Epoch: [36] [2960/5278] eta: 1:52:09 lr: 5.494194957115882e-06 loss: 0.0351 (0.0366) loss_seg: 0.0349 (0.0364) loss_lansim: 0.0212 (0.0206) loss_contra: 0.0001 (0.0014) time: 2.9677 data: 0.0064 max mem: 31630 Epoch: [36] [2970/5278] eta: 1:51:40 lr: 5.491470637959287e-06 loss: 0.0349 (0.0366) loss_seg: 0.0346 (0.0364) loss_lansim: 0.0212 (0.0206) loss_contra: 0.0001 (0.0014) time: 2.9677 data: 0.0065 max mem: 31630 Epoch: [36] [2980/5278] eta: 1:51:11 lr: 5.488746168623849e-06 loss: 0.0348 (0.0366) loss_seg: 0.0346 (0.0364) loss_lansim: 0.0212 (0.0206) loss_contra: 0.0001 (0.0014) time: 2.9705 data: 0.0067 max mem: 31630 Epoch: [36] [2990/5278] eta: 1:50:43 lr: 5.486021549018458e-06 loss: 0.0344 (0.0366) loss_seg: 0.0342 (0.0364) loss_lansim: 0.0213 (0.0206) loss_contra: 0.0001 (0.0014) time: 2.9642 data: 0.0067 max mem: 31630 Epoch: [36] [3000/5278] eta: 1:50:14 lr: 5.483296779051883e-06 loss: 0.0342 (0.0366) loss_seg: 0.0340 (0.0364) loss_lansim: 0.0213 (0.0206) loss_contra: 0.0001 (0.0014) time: 2.9589 data: 0.0067 max mem: 31630 Epoch: [36] [3010/5278] eta: 1:49:45 lr: 5.4805718586328e-06 loss: 0.0349 (0.0366) loss_seg: 0.0347 (0.0364) loss_lansim: 0.0214 (0.0206) loss_contra: 0.0001 (0.0014) time: 2.9539 data: 0.0067 max mem: 31630 Epoch: [36] [3020/5278] eta: 1:49:16 lr: 5.47784678766978e-06 loss: 0.0344 (0.0367) loss_seg: 0.0342 (0.0364) loss_lansim: 0.0214 (0.0206) loss_contra: 0.0001 (0.0014) time: 2.9488 data: 0.0067 max mem: 31630 Epoch: [36] [3030/5278] eta: 1:48:47 lr: 5.475121566071288e-06 loss: 0.0341 (0.0367) loss_seg: 0.0339 (0.0364) loss_lansim: 0.0214 (0.0207) loss_contra: 0.0001 (0.0014) time: 2.9417 data: 0.0066 max mem: 31630 Epoch: [36] [3040/5278] eta: 1:48:18 lr: 5.472396193745667e-06 loss: 0.0341 (0.0366) loss_seg: 0.0339 (0.0364) loss_lansim: 0.0216 (0.0207) loss_contra: 0.0001 (0.0014) time: 2.9356 data: 0.0066 max mem: 31630 Epoch: [36] [3050/5278] eta: 1:47:49 lr: 5.4696706706011715e-06 loss: 0.0341 (0.0367) loss_seg: 0.0338 (0.0364) loss_lansim: 0.0215 (0.0207) loss_contra: 0.0001 (0.0014) time: 2.9295 data: 0.0065 max mem: 31630 Epoch: [36] [3060/5278] eta: 1:47:20 lr: 5.4669449965459435e-06 loss: 0.0339 (0.0366) loss_seg: 0.0336 (0.0364) loss_lansim: 0.0215 (0.0207) loss_contra: 0.0001 (0.0014) time: 2.9234 data: 0.0065 max mem: 31630 Epoch: [36] [3070/5278] eta: 1:46:51 lr: 5.464219171488023e-06 loss: 0.0337 (0.0366) loss_seg: 0.0335 (0.0364) loss_lansim: 0.0215 (0.0207) loss_contra: 0.0001 (0.0014) time: 2.9238 data: 0.0064 max mem: 31630 Epoch: [36] [3080/5278] eta: 1:46:23 lr: 5.461493195335326e-06 loss: 0.0336 (0.0366) loss_seg: 0.0334 (0.0364) loss_lansim: 0.0218 (0.0207) loss_contra: 0.0001 (0.0014) time: 2.9241 data: 0.0063 max mem: 31630 Epoch: [36] [3090/5278] eta: 1:45:54 lr: 5.458767067995679e-06 loss: 0.0335 (0.0366) loss_seg: 0.0332 (0.0364) loss_lansim: 0.0218 (0.0207) loss_contra: 0.0001 (0.0014) time: 2.9301 data: 0.0062 max mem: 31630 Epoch: [36] [3100/5278] eta: 1:45:25 lr: 5.456040789376796e-06 loss: 0.0332 (0.0366) loss_seg: 0.0330 (0.0364) loss_lansim: 0.0219 (0.0207) loss_contra: 0.0001 (0.0014) time: 2.9353 data: 0.0062 max mem: 31630 Epoch: [36] [3110/5278] eta: 1:44:57 lr: 5.453314359386288e-06 loss: 0.0332 (0.0366) loss_seg: 0.0329 (0.0364) loss_lansim: 0.0215 (0.0207) loss_contra: 0.0001 (0.0014) time: 2.9389 data: 0.0062 max mem: 31630 Epoch: [36] [3120/5278] eta: 1:44:28 lr: 5.45058777793164e-06 loss: 0.0333 (0.0366) loss_seg: 0.0331 (0.0364) loss_lansim: 0.0215 (0.0207) loss_contra: 0.0001 (0.0014) time: 2.9439 data: 0.0061 max mem: 31630 Epoch: [36] [3130/5278] eta: 1:43:59 lr: 5.447861044920248e-06 loss: 0.0336 (0.0366) loss_seg: 0.0334 (0.0364) loss_lansim: 0.0213 (0.0207) loss_contra: 0.0001 (0.0014) time: 2.9488 data: 0.0062 max mem: 31630 Epoch: [36] [3140/5278] eta: 1:43:31 lr: 5.445134160259393e-06 loss: 0.0336 (0.0366) loss_seg: 0.0334 (0.0364) loss_lansim: 0.0210 (0.0207) loss_contra: 0.0001 (0.0014) time: 2.9519 data: 0.0062 max mem: 31630 Epoch: [36] [3150/5278] eta: 1:43:02 lr: 5.442407123856249e-06 loss: 0.0335 (0.0366) loss_seg: 0.0333 (0.0363) loss_lansim: 0.0211 (0.0207) loss_contra: 0.0001 (0.0014) time: 2.9555 data: 0.0062 max mem: 31630 Epoch: [36] [3160/5278] eta: 1:42:33 lr: 5.439679935617888e-06 loss: 0.0347 (0.0366) loss_seg: 0.0344 (0.0364) loss_lansim: 0.0211 (0.0207) loss_contra: 0.0001 (0.0014) time: 2.9614 data: 0.0062 max mem: 31630 Epoch: [36] [3170/5278] eta: 1:42:05 lr: 5.436952595451251e-06 loss: 0.0347 (0.0366) loss_seg: 0.0344 (0.0364) loss_lansim: 0.0211 (0.0207) loss_contra: 0.0001 (0.0014) time: 2.9630 data: 0.0062 max mem: 31630 Epoch: [36] [3180/5278] eta: 1:41:36 lr: 5.434225103263192e-06 loss: 0.0347 (0.0366) loss_seg: 0.0345 (0.0364) loss_lansim: 0.0211 (0.0207) loss_contra: 0.0001 (0.0014) time: 2.9612 data: 0.0062 max mem: 31630 Epoch: [36] [3190/5278] eta: 1:41:07 lr: 5.43149745896045e-06 loss: 0.0352 (0.0366) loss_seg: 0.0351 (0.0364) loss_lansim: 0.0209 (0.0207) loss_contra: 0.0001 (0.0014) time: 2.9600 data: 0.0062 max mem: 31630 Epoch: [36] [3200/5278] eta: 1:40:38 lr: 5.428769662449659e-06 loss: 0.0365 (0.0366) loss_seg: 0.0363 (0.0364) loss_lansim: 0.0208 (0.0207) loss_contra: 0.0001 (0.0014) time: 2.9572 data: 0.0060 max mem: 31630 Epoch: [36] [3210/5278] eta: 1:40:10 lr: 5.4260417136373265e-06 loss: 0.0355 (0.0366) loss_seg: 0.0353 (0.0364) loss_lansim: 0.0208 (0.0207) loss_contra: 0.0001 (0.0014) time: 2.9609 data: 0.0060 max mem: 31630 Epoch: [36] [3220/5278] eta: 1:39:41 lr: 5.423313612429867e-06 loss: 0.0355 (0.0366) loss_seg: 0.0353 (0.0364) loss_lansim: 0.0209 (0.0207) loss_contra: 0.0001 (0.0014) time: 2.9603 data: 0.0061 max mem: 31630 Epoch: [36] [3230/5278] eta: 1:39:12 lr: 5.4205853587335795e-06 loss: 0.0354 (0.0366) loss_seg: 0.0352 (0.0364) loss_lansim: 0.0210 (0.0207) loss_contra: 0.0001 (0.0014) time: 2.9589 data: 0.0060 max mem: 31630 Epoch: [36] [3240/5278] eta: 1:38:44 lr: 5.417856952454663e-06 loss: 0.0365 (0.0366) loss_seg: 0.0362 (0.0364) loss_lansim: 0.0210 (0.0207) loss_contra: 0.0001 (0.0014) time: 2.9614 data: 0.0059 max mem: 31630 Epoch: [36] [3250/5278] eta: 1:38:15 lr: 5.415128393499181e-06 loss: 0.0366 (0.0366) loss_seg: 0.0364 (0.0364) loss_lansim: 0.0211 (0.0207) loss_contra: 0.0001 (0.0014) time: 2.9612 data: 0.0059 max mem: 31630 Epoch: [36] [3260/5278] eta: 1:37:47 lr: 5.412399681773111e-06 loss: 0.0361 (0.0366) loss_seg: 0.0359 (0.0364) loss_lansim: 0.0211 (0.0207) loss_contra: 0.0001 (0.0014) time: 2.9672 data: 0.0059 max mem: 31630 Epoch: [36] [3270/5278] eta: 1:37:18 lr: 5.40967081718231e-06 loss: 0.0350 (0.0366) loss_seg: 0.0348 (0.0364) loss_lansim: 0.0211 (0.0207) loss_contra: 0.0001 (0.0014) time: 2.9639 data: 0.0060 max mem: 31630 Epoch: [36] [3280/5278] eta: 1:36:49 lr: 5.4069417996325316e-06 loss: 0.0341 (0.0366) loss_seg: 0.0338 (0.0363) loss_lansim: 0.0210 (0.0207) loss_contra: 0.0001 (0.0014) time: 2.9642 data: 0.0059 max mem: 31630 Epoch: [36] [3290/5278] eta: 1:36:20 lr: 5.404212629029401e-06 loss: 0.0332 (0.0366) loss_seg: 0.0330 (0.0363) loss_lansim: 0.0211 (0.0207) loss_contra: 0.0001 (0.0014) time: 2.9622 data: 0.0059 max mem: 31630 Epoch: [36] [3300/5278] eta: 1:35:51 lr: 5.401483305278448e-06 loss: 0.0324 (0.0366) loss_seg: 0.0321 (0.0363) loss_lansim: 0.0209 (0.0207) loss_contra: 0.0001 (0.0014) time: 2.9643 data: 0.0060 max mem: 31630 Epoch: [36] [3310/5278] eta: 1:35:22 lr: 5.398753828285088e-06 loss: 0.0321 (0.0365) loss_seg: 0.0319 (0.0363) loss_lansim: 0.0210 (0.0207) loss_contra: 0.0001 (0.0014) time: 2.9601 data: 0.0060 max mem: 31630 Epoch: [36] [3320/5278] eta: 1:34:54 lr: 5.396024197954628e-06 loss: 0.0315 (0.0365) loss_seg: 0.0313 (0.0363) loss_lansim: 0.0209 (0.0207) loss_contra: 0.0001 (0.0014) time: 2.9611 data: 0.0060 max mem: 31630 Epoch: [36] [3330/5278] eta: 1:34:25 lr: 5.393294414192248e-06 loss: 0.0318 (0.0365) loss_seg: 0.0316 (0.0363) loss_lansim: 0.0209 (0.0207) loss_contra: 0.0001 (0.0014) time: 2.9616 data: 0.0061 max mem: 31630 Epoch: [36] [3340/5278] eta: 1:33:56 lr: 5.390564476903032e-06 loss: 0.0315 (0.0366) loss_seg: 0.0313 (0.0363) loss_lansim: 0.0210 (0.0207) loss_contra: 0.0001 (0.0014) time: 2.9602 data: 0.0062 max mem: 31630 Epoch: [36] [3350/5278] eta: 1:33:27 lr: 5.387834385991945e-06 loss: 0.0318 (0.0366) loss_seg: 0.0316 (0.0363) loss_lansim: 0.0209 (0.0207) loss_contra: 0.0001 (0.0014) time: 2.9594 data: 0.0062 max mem: 31630 Epoch: [36] [3360/5278] eta: 1:32:58 lr: 5.385104141363849e-06 loss: 0.0315 (0.0365) loss_seg: 0.0313 (0.0363) loss_lansim: 0.0209 (0.0207) loss_contra: 0.0001 (0.0014) time: 2.9525 data: 0.0061 max mem: 31630 Epoch: [36] [3370/5278] eta: 1:32:30 lr: 5.382373742923472e-06 loss: 0.0328 (0.0366) loss_seg: 0.0326 (0.0363) loss_lansim: 0.0211 (0.0208) loss_contra: 0.0001 (0.0014) time: 2.9542 data: 0.0062 max mem: 31630 Epoch: [36] [3380/5278] eta: 1:32:01 lr: 5.379643190575448e-06 loss: 0.0335 (0.0365) loss_seg: 0.0333 (0.0363) loss_lansim: 0.0213 (0.0208) loss_contra: 0.0001 (0.0014) time: 2.9518 data: 0.0063 max mem: 31630 Epoch: [36] [3390/5278] eta: 1:31:32 lr: 5.376912484224296e-06 loss: 0.0336 (0.0365) loss_seg: 0.0334 (0.0363) loss_lansim: 0.0214 (0.0208) loss_contra: 0.0001 (0.0014) time: 2.9520 data: 0.0063 max mem: 31630 Epoch: [36] [3400/5278] eta: 1:31:03 lr: 5.374181623774415e-06 loss: 0.0341 (0.0365) loss_seg: 0.0339 (0.0363) loss_lansim: 0.0215 (0.0208) loss_contra: 0.0001 (0.0014) time: 2.9495 data: 0.0062 max mem: 31630 Epoch: [36] [3410/5278] eta: 1:30:34 lr: 5.371450609130102e-06 loss: 0.0346 (0.0366) loss_seg: 0.0344 (0.0363) loss_lansim: 0.0218 (0.0208) loss_contra: 0.0001 (0.0014) time: 2.9500 data: 0.0062 max mem: 31630 Epoch: [36] [3420/5278] eta: 1:30:05 lr: 5.36871944019552e-06 loss: 0.0353 (0.0366) loss_seg: 0.0351 (0.0363) loss_lansim: 0.0219 (0.0208) loss_contra: 0.0001 (0.0014) time: 2.9479 data: 0.0062 max mem: 31630 Epoch: [36] [3430/5278] eta: 1:29:36 lr: 5.365988116874738e-06 loss: 0.0346 (0.0366) loss_seg: 0.0344 (0.0363) loss_lansim: 0.0219 (0.0208) loss_contra: 0.0001 (0.0014) time: 2.9491 data: 0.0062 max mem: 31630 Epoch: [36] [3440/5278] eta: 1:29:07 lr: 5.363256639071701e-06 loss: 0.0352 (0.0366) loss_seg: 0.0350 (0.0363) loss_lansim: 0.0219 (0.0208) loss_contra: 0.0001 (0.0014) time: 2.9484 data: 0.0062 max mem: 31630 Epoch: [36] [3450/5278] eta: 1:28:38 lr: 5.360525006690253e-06 loss: 0.0347 (0.0366) loss_seg: 0.0344 (0.0364) loss_lansim: 0.0217 (0.0208) loss_contra: 0.0002 (0.0014) time: 2.9496 data: 0.0061 max mem: 31630 Epoch: [36] [3460/5278] eta: 1:28:10 lr: 5.357793219634099e-06 loss: 0.0347 (0.0366) loss_seg: 0.0345 (0.0364) loss_lansim: 0.0218 (0.0208) loss_contra: 0.0001 (0.0014) time: 2.9503 data: 0.0061 max mem: 31630 Epoch: [36] [3470/5278] eta: 1:27:41 lr: 5.3550612778068495e-06 loss: 0.0352 (0.0366) loss_seg: 0.0350 (0.0364) loss_lansim: 0.0215 (0.0208) loss_contra: 0.0002 (0.0014) time: 2.9494 data: 0.0061 max mem: 31630 Epoch: [36] [3480/5278] eta: 1:27:12 lr: 5.352329181111996e-06 loss: 0.0347 (0.0366) loss_seg: 0.0345 (0.0364) loss_lansim: 0.0214 (0.0208) loss_contra: 0.0002 (0.0014) time: 2.9504 data: 0.0061 max mem: 31630 Epoch: [36] [3490/5278] eta: 1:26:43 lr: 5.3495969294529184e-06 loss: 0.0347 (0.0366) loss_seg: 0.0344 (0.0364) loss_lansim: 0.0215 (0.0208) loss_contra: 0.0001 (0.0014) time: 2.9547 data: 0.0060 max mem: 31630 Epoch: [36] [3500/5278] eta: 1:26:14 lr: 5.346864522732865e-06 loss: 0.0347 (0.0366) loss_seg: 0.0345 (0.0364) loss_lansim: 0.0213 (0.0208) loss_contra: 0.0002 (0.0014) time: 2.9557 data: 0.0061 max mem: 31630 Epoch: [36] [3510/5278] eta: 1:25:45 lr: 5.344131960854988e-06 loss: 0.0347 (0.0366) loss_seg: 0.0345 (0.0364) loss_lansim: 0.0213 (0.0208) loss_contra: 0.0001 (0.0014) time: 2.9567 data: 0.0061 max mem: 31630 Epoch: [36] [3520/5278] eta: 1:25:16 lr: 5.341399243722314e-06 loss: 0.0347 (0.0366) loss_seg: 0.0344 (0.0364) loss_lansim: 0.0208 (0.0208) loss_contra: 0.0001 (0.0015) time: 2.9574 data: 0.0061 max mem: 31630 Epoch: [36] [3530/5278] eta: 1:24:48 lr: 5.338666371237765e-06 loss: 0.0352 (0.0366) loss_seg: 0.0343 (0.0364) loss_lansim: 0.0208 (0.0208) loss_contra: 0.0001 (0.0015) time: 2.9589 data: 0.0061 max mem: 31630 Epoch: [36] [3540/5278] eta: 1:24:19 lr: 5.335933343304124e-06 loss: 0.0338 (0.0366) loss_seg: 0.0328 (0.0363) loss_lansim: 0.0209 (0.0208) loss_contra: 0.0001 (0.0015) time: 2.9594 data: 0.0061 max mem: 31630 Epoch: [36] [3550/5278] eta: 1:23:50 lr: 5.3332001598240795e-06 loss: 0.0344 (0.0366) loss_seg: 0.0340 (0.0364) loss_lansim: 0.0211 (0.0208) loss_contra: 0.0001 (0.0015) time: 2.9606 data: 0.0062 max mem: 31630 Epoch: [36] [3560/5278] eta: 1:23:21 lr: 5.330466820700196e-06 loss: 0.0345 (0.0366) loss_seg: 0.0342 (0.0364) loss_lansim: 0.0212 (0.0208) loss_contra: 0.0001 (0.0015) time: 2.9600 data: 0.0061 max mem: 31630 Epoch: [36] [3570/5278] eta: 1:22:52 lr: 5.327733325834928e-06 loss: 0.0343 (0.0366) loss_seg: 0.0338 (0.0364) loss_lansim: 0.0218 (0.0208) loss_contra: 0.0001 (0.0015) time: 2.9608 data: 0.0061 max mem: 31630 Epoch: [36] [3580/5278] eta: 1:22:23 lr: 5.324999675130594e-06 loss: 0.0343 (0.0366) loss_seg: 0.0338 (0.0364) loss_lansim: 0.0218 (0.0208) loss_contra: 0.0001 (0.0015) time: 2.9610 data: 0.0061 max mem: 31630 Epoch: [36] [3590/5278] eta: 1:21:55 lr: 5.322265868489417e-06 loss: 0.0358 (0.0366) loss_seg: 0.0352 (0.0364) loss_lansim: 0.0213 (0.0208) loss_contra: 0.0001 (0.0015) time: 2.9616 data: 0.0062 max mem: 31630 Epoch: [36] [3600/5278] eta: 1:21:26 lr: 5.31953190581349e-06 loss: 0.0346 (0.0366) loss_seg: 0.0340 (0.0364) loss_lansim: 0.0218 (0.0208) loss_contra: 0.0001 (0.0015) time: 2.9630 data: 0.0062 max mem: 31630 Epoch: [36] [3610/5278] eta: 1:20:57 lr: 5.316797787004802e-06 loss: 0.0347 (0.0366) loss_seg: 0.0343 (0.0364) loss_lansim: 0.0215 (0.0208) loss_contra: 0.0002 (0.0015) time: 2.9637 data: 0.0062 max mem: 31630 Epoch: [36] [3620/5278] eta: 1:20:28 lr: 5.3140635119652025e-06 loss: 0.0333 (0.0366) loss_seg: 0.0331 (0.0363) loss_lansim: 0.0218 (0.0208) loss_contra: 0.0002 (0.0015) time: 2.9665 data: 0.0063 max mem: 31630 Epoch: [36] [3630/5278] eta: 1:19:59 lr: 5.3113290805964415e-06 loss: 0.0333 (0.0366) loss_seg: 0.0331 (0.0363) loss_lansim: 0.0218 (0.0208) loss_contra: 0.0002 (0.0015) time: 2.9674 data: 0.0062 max mem: 31630 Epoch: [36] [3640/5278] eta: 1:19:30 lr: 5.308594492800146e-06 loss: 0.0342 (0.0366) loss_seg: 0.0340 (0.0363) loss_lansim: 0.0216 (0.0208) loss_contra: 0.0002 (0.0015) time: 2.9687 data: 0.0062 max mem: 31630 Epoch: [36] [3650/5278] eta: 1:19:01 lr: 5.3058597484778236e-06 loss: 0.0335 (0.0366) loss_seg: 0.0333 (0.0363) loss_lansim: 0.0215 (0.0208) loss_contra: 0.0001 (0.0015) time: 2.9677 data: 0.0061 max mem: 31630 Epoch: [36] [3660/5278] eta: 1:18:33 lr: 5.3031248475308696e-06 loss: 0.0335 (0.0366) loss_seg: 0.0333 (0.0363) loss_lansim: 0.0214 (0.0208) loss_contra: 0.0001 (0.0015) time: 2.9683 data: 0.0062 max mem: 31630 Epoch: [36] [3670/5278] eta: 1:18:04 lr: 5.300389789860543e-06 loss: 0.0333 (0.0365) loss_seg: 0.0332 (0.0363) loss_lansim: 0.0212 (0.0208) loss_contra: 0.0001 (0.0015) time: 2.9678 data: 0.0062 max mem: 31630 Epoch: [36] [3680/5278] eta: 1:17:35 lr: 5.297654575368003e-06 loss: 0.0332 (0.0365) loss_seg: 0.0330 (0.0363) loss_lansim: 0.0213 (0.0208) loss_contra: 0.0001 (0.0015) time: 2.9696 data: 0.0062 max mem: 31630 Epoch: [36] [3690/5278] eta: 1:17:06 lr: 5.294919203954282e-06 loss: 0.0330 (0.0365) loss_seg: 0.0327 (0.0363) loss_lansim: 0.0214 (0.0208) loss_contra: 0.0001 (0.0015) time: 2.9682 data: 0.0061 max mem: 31630 Epoch: [36] [3700/5278] eta: 1:16:37 lr: 5.2921836755202986e-06 loss: 0.0325 (0.0365) loss_seg: 0.0323 (0.0363) loss_lansim: 0.0214 (0.0208) loss_contra: 0.0001 (0.0015) time: 2.9681 data: 0.0061 max mem: 31630 Epoch: [36] [3710/5278] eta: 1:16:08 lr: 5.289447989966836e-06 loss: 0.0318 (0.0365) loss_seg: 0.0316 (0.0363) loss_lansim: 0.0216 (0.0209) loss_contra: 0.0001 (0.0015) time: 2.9711 data: 0.0061 max mem: 31630 Epoch: [36] [3720/5278] eta: 1:15:39 lr: 5.286712147194574e-06 loss: 0.0325 (0.0365) loss_seg: 0.0324 (0.0363) loss_lansim: 0.0215 (0.0209) loss_contra: 0.0001 (0.0015) time: 2.9743 data: 0.0061 max mem: 31630 Epoch: [36] [3730/5278] eta: 1:15:11 lr: 5.283976147104068e-06 loss: 0.0325 (0.0365) loss_seg: 0.0324 (0.0363) loss_lansim: 0.0215 (0.0209) loss_contra: 0.0001 (0.0015) time: 2.9749 data: 0.0061 max mem: 31630 Epoch: [36] [3740/5278] eta: 1:14:42 lr: 5.2812399895957586e-06 loss: 0.0325 (0.0365) loss_seg: 0.0324 (0.0363) loss_lansim: 0.0216 (0.0209) loss_contra: 0.0001 (0.0015) time: 2.9731 data: 0.0061 max mem: 31630 Epoch: [36] [3750/5278] eta: 1:14:13 lr: 5.278503674569946e-06 loss: 0.0320 (0.0365) loss_seg: 0.0318 (0.0363) loss_lansim: 0.0216 (0.0209) loss_contra: 0.0001 (0.0015) time: 2.9721 data: 0.0061 max mem: 31630 Epoch: [36] [3760/5278] eta: 1:13:44 lr: 5.275767201926831e-06 loss: 0.0320 (0.0365) loss_seg: 0.0317 (0.0363) loss_lansim: 0.0215 (0.0209) loss_contra: 0.0001 (0.0015) time: 2.9723 data: 0.0061 max mem: 31630 Epoch: [36] [3770/5278] eta: 1:13:15 lr: 5.2730305715664865e-06 loss: 0.0320 (0.0365) loss_seg: 0.0318 (0.0363) loss_lansim: 0.0214 (0.0209) loss_contra: 0.0001 (0.0015) time: 2.9719 data: 0.0061 max mem: 31630 Epoch: [36] [3780/5278] eta: 1:12:46 lr: 5.27029378338887e-06 loss: 0.0325 (0.0365) loss_seg: 0.0324 (0.0363) loss_lansim: 0.0214 (0.0209) loss_contra: 0.0001 (0.0015) time: 2.9716 data: 0.0061 max mem: 31630 Epoch: [36] [3790/5278] eta: 1:12:17 lr: 5.267556837293797e-06 loss: 0.0323 (0.0365) loss_seg: 0.0321 (0.0362) loss_lansim: 0.0212 (0.0209) loss_contra: 0.0001 (0.0015) time: 2.9725 data: 0.0060 max mem: 31630 Epoch: [36] [3800/5278] eta: 1:11:48 lr: 5.264819733180987e-06 loss: 0.0329 (0.0365) loss_seg: 0.0326 (0.0362) loss_lansim: 0.0212 (0.0209) loss_contra: 0.0001 (0.0015) time: 2.9729 data: 0.0061 max mem: 31630 Epoch: [36] [3810/5278] eta: 1:11:19 lr: 5.262082470950024e-06 loss: 0.0331 (0.0365) loss_seg: 0.0329 (0.0362) loss_lansim: 0.0214 (0.0209) loss_contra: 0.0001 (0.0015) time: 2.9691 data: 0.0060 max mem: 31630 Epoch: [36] [3820/5278] eta: 1:10:50 lr: 5.25934505050038e-06 loss: 0.0331 (0.0365) loss_seg: 0.0329 (0.0362) loss_lansim: 0.0216 (0.0209) loss_contra: 0.0001 (0.0015) time: 2.9657 data: 0.0060 max mem: 31630 Epoch: [36] [3830/5278] eta: 1:10:21 lr: 5.256607471731386e-06 loss: 0.0325 (0.0365) loss_seg: 0.0323 (0.0362) loss_lansim: 0.0214 (0.0209) loss_contra: 0.0002 (0.0015) time: 2.9637 data: 0.0060 max mem: 31630 Epoch: [36] [3840/5278] eta: 1:09:52 lr: 5.25386973454227e-06 loss: 0.0325 (0.0364) loss_seg: 0.0323 (0.0362) loss_lansim: 0.0214 (0.0209) loss_contra: 0.0002 (0.0015) time: 2.9642 data: 0.0059 max mem: 31630 Epoch: [36] [3850/5278] eta: 1:09:23 lr: 5.2511318388321295e-06 loss: 0.0328 (0.0364) loss_seg: 0.0325 (0.0362) loss_lansim: 0.0215 (0.0209) loss_contra: 0.0002 (0.0015) time: 2.9647 data: 0.0059 max mem: 31630 Epoch: [36] [3860/5278] eta: 1:08:54 lr: 5.248393784499947e-06 loss: 0.0325 (0.0364) loss_seg: 0.0323 (0.0362) loss_lansim: 0.0216 (0.0209) loss_contra: 0.0002 (0.0015) time: 2.9637 data: 0.0059 max mem: 31630 Epoch: [36] [3870/5278] eta: 1:08:25 lr: 5.245655571444562e-06 loss: 0.0328 (0.0364) loss_seg: 0.0325 (0.0362) loss_lansim: 0.0219 (0.0209) loss_contra: 0.0002 (0.0015) time: 2.9662 data: 0.0059 max mem: 31630 Epoch: [36] [3880/5278] eta: 1:07:56 lr: 5.2429171995647106e-06 loss: 0.0332 (0.0364) loss_seg: 0.0330 (0.0362) loss_lansim: 0.0219 (0.0209) loss_contra: 0.0002 (0.0015) time: 2.9652 data: 0.0059 max mem: 31630 Epoch: [36] [3890/5278] eta: 1:07:27 lr: 5.240178668758999e-06 loss: 0.0349 (0.0365) loss_seg: 0.0347 (0.0362) loss_lansim: 0.0219 (0.0209) loss_contra: 0.0002 (0.0015) time: 2.9630 data: 0.0059 max mem: 31630 Epoch: [36] [3900/5278] eta: 1:06:58 lr: 5.237439978925909e-06 loss: 0.0349 (0.0365) loss_seg: 0.0347 (0.0362) loss_lansim: 0.0221 (0.0209) loss_contra: 0.0002 (0.0015) time: 2.9638 data: 0.0059 max mem: 31630 Epoch: [36] [3910/5278] eta: 1:06:29 lr: 5.234701129963805e-06 loss: 0.0345 (0.0365) loss_seg: 0.0343 (0.0362) loss_lansim: 0.0219 (0.0209) loss_contra: 0.0001 (0.0015) time: 2.9661 data: 0.0059 max mem: 31630 Epoch: [36] [3920/5278] eta: 1:06:00 lr: 5.2319621217709094e-06 loss: 0.0349 (0.0365) loss_seg: 0.0347 (0.0362) loss_lansim: 0.0219 (0.0209) loss_contra: 0.0001 (0.0015) time: 2.9660 data: 0.0059 max mem: 31630 Epoch: [36] [3930/5278] eta: 1:05:31 lr: 5.229222954245339e-06 loss: 0.0350 (0.0365) loss_seg: 0.0348 (0.0362) loss_lansim: 0.0221 (0.0209) loss_contra: 0.0001 (0.0015) time: 2.9647 data: 0.0059 max mem: 31630 Epoch: [36] [3940/5278] eta: 1:05:02 lr: 5.226483627285079e-06 loss: 0.0362 (0.0365) loss_seg: 0.0360 (0.0362) loss_lansim: 0.0222 (0.0209) loss_contra: 0.0001 (0.0015) time: 2.9649 data: 0.0060 max mem: 31630 Epoch: [36] [3950/5278] eta: 1:04:33 lr: 5.223744140787996e-06 loss: 0.0357 (0.0365) loss_seg: 0.0355 (0.0363) loss_lansim: 0.0221 (0.0209) loss_contra: 0.0001 (0.0015) time: 2.9666 data: 0.0060 max mem: 31630 Epoch: [36] [3960/5278] eta: 1:04:04 lr: 5.221004494651813e-06 loss: 0.0361 (0.0365) loss_seg: 0.0359 (0.0363) loss_lansim: 0.0220 (0.0209) loss_contra: 0.0001 (0.0015) time: 2.9669 data: 0.0060 max mem: 31630 Epoch: [36] [3970/5278] eta: 1:03:35 lr: 5.218264688774148e-06 loss: 0.0356 (0.0365) loss_seg: 0.0353 (0.0363) loss_lansim: 0.0220 (0.0209) loss_contra: 0.0001 (0.0015) time: 2.9670 data: 0.0060 max mem: 31630 Epoch: [36] [3980/5278] eta: 1:03:07 lr: 5.215524723052485e-06 loss: 0.0349 (0.0365) loss_seg: 0.0345 (0.0362) loss_lansim: 0.0220 (0.0209) loss_contra: 0.0001 (0.0015) time: 2.9827 data: 0.0060 max mem: 31630 Epoch: [36] [3990/5278] eta: 1:02:38 lr: 5.212784597384191e-06 loss: 0.0342 (0.0365) loss_seg: 0.0340 (0.0362) loss_lansim: 0.0220 (0.0209) loss_contra: 0.0001 (0.0015) time: 2.9897 data: 0.0060 max mem: 31630 Epoch: [36] [4000/5278] eta: 1:02:09 lr: 5.210044311666485e-06 loss: 0.0336 (0.0365) loss_seg: 0.0334 (0.0362) loss_lansim: 0.0220 (0.0209) loss_contra: 0.0001 (0.0015) time: 3.0001 data: 0.0060 max mem: 31630 Epoch: [36] [4010/5278] eta: 1:01:40 lr: 5.207303865796482e-06 loss: 0.0331 (0.0365) loss_seg: 0.0329 (0.0362) loss_lansim: 0.0220 (0.0209) loss_contra: 0.0001 (0.0015) time: 3.0059 data: 0.0060 max mem: 31630 Epoch: [36] [4020/5278] eta: 1:01:12 lr: 5.204563259671163e-06 loss: 0.0331 (0.0365) loss_seg: 0.0329 (0.0362) loss_lansim: 0.0220 (0.0210) loss_contra: 0.0001 (0.0015) time: 3.0150 data: 0.0060 max mem: 31630 Epoch: [36] [4030/5278] eta: 1:00:43 lr: 5.201822493187389e-06 loss: 0.0331 (0.0365) loss_seg: 0.0329 (0.0362) loss_lansim: 0.0218 (0.0210) loss_contra: 0.0001 (0.0015) time: 3.0187 data: 0.0060 max mem: 31630 Epoch: [36] [4040/5278] eta: 1:00:14 lr: 5.199081566241875e-06 loss: 0.0329 (0.0365) loss_seg: 0.0327 (0.0362) loss_lansim: 0.0217 (0.0210) loss_contra: 0.0001 (0.0015) time: 3.0285 data: 0.0060 max mem: 31630 Epoch: [36] [4050/5278] eta: 0:59:45 lr: 5.196340478731227e-06 loss: 0.0329 (0.0365) loss_seg: 0.0327 (0.0363) loss_lansim: 0.0218 (0.0210) loss_contra: 0.0001 (0.0015) time: 3.0391 data: 0.0060 max mem: 31630 Epoch: [36] [4060/5278] eta: 0:59:16 lr: 5.1935992305519196e-06 loss: 0.0331 (0.0365) loss_seg: 0.0328 (0.0363) loss_lansim: 0.0218 (0.0210) loss_contra: 0.0001 (0.0015) time: 3.0479 data: 0.0060 max mem: 31630 Epoch: [36] [4070/5278] eta: 0:58:48 lr: 5.190857821600303e-06 loss: 0.0331 (0.0365) loss_seg: 0.0328 (0.0363) loss_lansim: 0.0219 (0.0210) loss_contra: 0.0001 (0.0015) time: 3.0571 data: 0.0060 max mem: 31630 Epoch: [36] [4080/5278] eta: 0:58:19 lr: 5.188116251772586e-06 loss: 0.0334 (0.0365) loss_seg: 0.0332 (0.0363) loss_lansim: 0.0218 (0.0210) loss_contra: 0.0001 (0.0015) time: 3.0497 data: 0.0059 max mem: 31630 Epoch: [36] [4090/5278] eta: 0:57:50 lr: 5.185374520964861e-06 loss: 0.0339 (0.0365) loss_seg: 0.0337 (0.0363) loss_lansim: 0.0218 (0.0210) loss_contra: 0.0001 (0.0015) time: 3.0487 data: 0.0059 max mem: 31630 Epoch: [36] [4100/5278] eta: 0:57:21 lr: 5.182632629073094e-06 loss: 0.0339 (0.0365) loss_seg: 0.0337 (0.0363) loss_lansim: 0.0220 (0.0210) loss_contra: 0.0001 (0.0015) time: 3.0453 data: 0.0060 max mem: 31630 Epoch: [36] [4110/5278] eta: 0:56:52 lr: 5.17989057599312e-06 loss: 0.0344 (0.0365) loss_seg: 0.0342 (0.0363) loss_lansim: 0.0219 (0.0210) loss_contra: 0.0001 (0.0015) time: 3.0461 data: 0.0060 max mem: 31630 Epoch: [36] [4120/5278] eta: 0:56:23 lr: 5.177148361620636e-06 loss: 0.0350 (0.0365) loss_seg: 0.0347 (0.0363) loss_lansim: 0.0218 (0.0210) loss_contra: 0.0001 (0.0015) time: 3.0442 data: 0.0060 max mem: 31630 Epoch: [36] [4130/5278] eta: 0:55:54 lr: 5.174405985851221e-06 loss: 0.0348 (0.0365) loss_seg: 0.0346 (0.0362) loss_lansim: 0.0220 (0.0210) loss_contra: 0.0001 (0.0015) time: 3.0490 data: 0.0061 max mem: 31630 Epoch: [36] [4140/5278] eta: 0:55:25 lr: 5.171663448580323e-06 loss: 0.0350 (0.0365) loss_seg: 0.0348 (0.0362) loss_lansim: 0.0218 (0.0210) loss_contra: 0.0001 (0.0015) time: 3.0424 data: 0.0061 max mem: 31630 Epoch: [36] [4150/5278] eta: 0:54:56 lr: 5.16892074970326e-06 loss: 0.0345 (0.0365) loss_seg: 0.0343 (0.0363) loss_lansim: 0.0218 (0.0210) loss_contra: 0.0001 (0.0015) time: 3.0388 data: 0.0061 max mem: 31630 Epoch: [36] [4160/5278] eta: 0:54:27 lr: 5.166177889115224e-06 loss: 0.0344 (0.0365) loss_seg: 0.0342 (0.0363) loss_lansim: 0.0220 (0.0210) loss_contra: 0.0001 (0.0015) time: 3.0375 data: 0.0061 max mem: 31630 Epoch: [36] [4170/5278] eta: 0:53:59 lr: 5.1634348667112625e-06 loss: 0.0341 (0.0365) loss_seg: 0.0339 (0.0363) loss_lansim: 0.0218 (0.0210) loss_contra: 0.0001 (0.0015) time: 3.0358 data: 0.0061 max mem: 31630 Epoch: [36] [4180/5278] eta: 0:53:30 lr: 5.1606916823863085e-06 loss: 0.0342 (0.0365) loss_seg: 0.0340 (0.0363) loss_lansim: 0.0218 (0.0210) loss_contra: 0.0001 (0.0015) time: 3.0381 data: 0.0061 max mem: 31630 Epoch: [36] [4190/5278] eta: 0:53:01 lr: 5.15794833603516e-06 loss: 0.0348 (0.0365) loss_seg: 0.0346 (0.0363) loss_lansim: 0.0218 (0.0210) loss_contra: 0.0001 (0.0015) time: 3.0392 data: 0.0061 max mem: 31630 Epoch: [36] [4200/5278] eta: 0:52:32 lr: 5.155204827552489e-06 loss: 0.0350 (0.0365) loss_seg: 0.0347 (0.0363) loss_lansim: 0.0217 (0.0210) loss_contra: 0.0001 (0.0015) time: 3.0343 data: 0.0060 max mem: 31630 Epoch: [36] [4210/5278] eta: 0:52:03 lr: 5.15246115683282e-06 loss: 0.0353 (0.0365) loss_seg: 0.0352 (0.0363) loss_lansim: 0.0219 (0.0210) loss_contra: 0.0001 (0.0015) time: 3.0359 data: 0.0060 max mem: 31630 Epoch: [36] [4220/5278] eta: 0:51:34 lr: 5.149717323770565e-06 loss: 0.0353 (0.0365) loss_seg: 0.0351 (0.0363) loss_lansim: 0.0221 (0.0210) loss_contra: 0.0001 (0.0015) time: 3.0358 data: 0.0060 max mem: 31630 Epoch: [36] [4230/5278] eta: 0:51:05 lr: 5.146973328259997e-06 loss: 0.0356 (0.0365) loss_seg: 0.0354 (0.0363) loss_lansim: 0.0219 (0.0210) loss_contra: 0.0001 (0.0015) time: 3.0312 data: 0.0060 max mem: 31630 Epoch: [36] [4240/5278] eta: 0:50:36 lr: 5.1442291701952635e-06 loss: 0.0356 (0.0365) loss_seg: 0.0354 (0.0363) loss_lansim: 0.0222 (0.0210) loss_contra: 0.0001 (0.0015) time: 3.0315 data: 0.0060 max mem: 31630 Epoch: [36] [4250/5278] eta: 0:50:07 lr: 5.141484849470364e-06 loss: 0.0357 (0.0365) loss_seg: 0.0354 (0.0363) loss_lansim: 0.0222 (0.0210) loss_contra: 0.0001 (0.0015) time: 3.0221 data: 0.0059 max mem: 31630 Epoch: [36] [4260/5278] eta: 0:49:37 lr: 5.138740365979184e-06 loss: 0.0355 (0.0365) loss_seg: 0.0352 (0.0362) loss_lansim: 0.0219 (0.0210) loss_contra: 0.0001 (0.0015) time: 3.0152 data: 0.0059 max mem: 31630 Epoch: [36] [4270/5278] eta: 0:49:08 lr: 5.1359957196154676e-06 loss: 0.0355 (0.0365) loss_seg: 0.0352 (0.0362) loss_lansim: 0.0219 (0.0210) loss_contra: 0.0001 (0.0015) time: 3.0106 data: 0.0059 max mem: 31630 Epoch: [36] [4280/5278] eta: 0:48:39 lr: 5.133250910272836e-06 loss: 0.0350 (0.0364) loss_seg: 0.0348 (0.0362) loss_lansim: 0.0219 (0.0210) loss_contra: 0.0001 (0.0015) time: 3.0021 data: 0.0059 max mem: 31630 Epoch: [36] [4290/5278] eta: 0:48:10 lr: 5.130505937844757e-06 loss: 0.0345 (0.0364) loss_seg: 0.0342 (0.0362) loss_lansim: 0.0219 (0.0210) loss_contra: 0.0001 (0.0015) time: 2.9966 data: 0.0059 max mem: 31630 Epoch: [36] [4300/5278] eta: 0:47:41 lr: 5.127760802224585e-06 loss: 0.0345 (0.0364) loss_seg: 0.0342 (0.0362) loss_lansim: 0.0217 (0.0210) loss_contra: 0.0001 (0.0015) time: 2.9933 data: 0.0059 max mem: 31630 Epoch: [36] [4310/5278] eta: 0:47:12 lr: 5.125015503305534e-06 loss: 0.0335 (0.0364) loss_seg: 0.0333 (0.0362) loss_lansim: 0.0218 (0.0210) loss_contra: 0.0001 (0.0015) time: 2.9847 data: 0.0058 max mem: 31630 Epoch: [36] [4320/5278] eta: 0:46:43 lr: 5.1222700409806946e-06 loss: 0.0335 (0.0364) loss_seg: 0.0333 (0.0362) loss_lansim: 0.0217 (0.0210) loss_contra: 0.0001 (0.0015) time: 2.9847 data: 0.0059 max mem: 31630 Epoch: [36] [4330/5278] eta: 0:46:14 lr: 5.119524415142999e-06 loss: 0.0333 (0.0364) loss_seg: 0.0331 (0.0362) loss_lansim: 0.0217 (0.0210) loss_contra: 0.0001 (0.0015) time: 2.9890 data: 0.0059 max mem: 31630 Epoch: [36] [4340/5278] eta: 0:45:45 lr: 5.116778625685267e-06 loss: 0.0324 (0.0364) loss_seg: 0.0322 (0.0362) loss_lansim: 0.0216 (0.0210) loss_contra: 0.0001 (0.0015) time: 2.9946 data: 0.0059 max mem: 31630 Epoch: [36] [4350/5278] eta: 0:45:16 lr: 5.114032672500179e-06 loss: 0.0333 (0.0365) loss_seg: 0.0331 (0.0362) loss_lansim: 0.0216 (0.0210) loss_contra: 0.0001 (0.0015) time: 3.0034 data: 0.0059 max mem: 31630 Epoch: [36] [4360/5278] eta: 0:44:47 lr: 5.1112865554802864e-06 loss: 0.0336 (0.0365) loss_seg: 0.0334 (0.0362) loss_lansim: 0.0216 (0.0210) loss_contra: 0.0001 (0.0015) time: 3.0053 data: 0.0059 max mem: 31630 Epoch: [36] [4370/5278] eta: 0:44:17 lr: 5.1085402745179866e-06 loss: 0.0336 (0.0364) loss_seg: 0.0334 (0.0362) loss_lansim: 0.0217 (0.0210) loss_contra: 0.0001 (0.0015) time: 3.0087 data: 0.0059 max mem: 31630 Epoch: [36] [4380/5278] eta: 0:43:48 lr: 5.105793829505561e-06 loss: 0.0336 (0.0364) loss_seg: 0.0334 (0.0362) loss_lansim: 0.0216 (0.0211) loss_contra: 0.0001 (0.0015) time: 3.0152 data: 0.0059 max mem: 31630 Epoch: [36] [4390/5278] eta: 0:43:19 lr: 5.103047220335149e-06 loss: 0.0341 (0.0365) loss_seg: 0.0338 (0.0362) loss_lansim: 0.0216 (0.0211) loss_contra: 0.0001 (0.0015) time: 3.0211 data: 0.0060 max mem: 31630 Epoch: [36] [4400/5278] eta: 0:42:50 lr: 5.100300446898755e-06 loss: 0.0341 (0.0365) loss_seg: 0.0339 (0.0362) loss_lansim: 0.0220 (0.0211) loss_contra: 0.0001 (0.0015) time: 3.0312 data: 0.0060 max mem: 31630 Epoch: [36] [4410/5278] eta: 0:42:21 lr: 5.097553509088256e-06 loss: 0.0341 (0.0365) loss_seg: 0.0339 (0.0362) loss_lansim: 0.0218 (0.0211) loss_contra: 0.0001 (0.0015) time: 3.0396 data: 0.0060 max mem: 31630 Epoch: [36] [4420/5278] eta: 0:41:52 lr: 5.09480640679537e-06 loss: 0.0349 (0.0365) loss_seg: 0.0347 (0.0362) loss_lansim: 0.0223 (0.0211) loss_contra: 0.0001 (0.0015) time: 3.0336 data: 0.0060 max mem: 31630 Epoch: [36] [4430/5278] eta: 0:41:23 lr: 5.092059139911701e-06 loss: 0.0346 (0.0365) loss_seg: 0.0344 (0.0362) loss_lansim: 0.0219 (0.0211) loss_contra: 0.0001 (0.0015) time: 3.0352 data: 0.0059 max mem: 31630 Epoch: [36] [4440/5278] eta: 0:40:54 lr: 5.08931170832871e-06 loss: 0.0349 (0.0365) loss_seg: 0.0347 (0.0362) loss_lansim: 0.0219 (0.0211) loss_contra: 0.0001 (0.0015) time: 3.0344 data: 0.0059 max mem: 31630 Epoch: [36] [4450/5278] eta: 0:40:25 lr: 5.086564111937725e-06 loss: 0.0346 (0.0365) loss_seg: 0.0344 (0.0362) loss_lansim: 0.0221 (0.0211) loss_contra: 0.0001 (0.0015) time: 3.0344 data: 0.0059 max mem: 31630 Epoch: [36] [4460/5278] eta: 0:39:56 lr: 5.083816350629921e-06 loss: 0.0342 (0.0365) loss_seg: 0.0340 (0.0362) loss_lansim: 0.0219 (0.0211) loss_contra: 0.0002 (0.0015) time: 3.0398 data: 0.0060 max mem: 31630 Epoch: [36] [4470/5278] eta: 0:39:27 lr: 5.081068424296353e-06 loss: 0.0342 (0.0364) loss_seg: 0.0340 (0.0362) loss_lansim: 0.0223 (0.0211) loss_contra: 0.0002 (0.0015) time: 3.0378 data: 0.0059 max mem: 31630 Epoch: [36] [4480/5278] eta: 0:38:58 lr: 5.078320332827934e-06 loss: 0.0355 (0.0365) loss_seg: 0.0352 (0.0362) loss_lansim: 0.0224 (0.0211) loss_contra: 0.0002 (0.0015) time: 3.0332 data: 0.0059 max mem: 31630 Epoch: [36] [4490/5278] eta: 0:38:29 lr: 5.075572076115441e-06 loss: 0.0353 (0.0365) loss_seg: 0.0351 (0.0362) loss_lansim: 0.0224 (0.0211) loss_contra: 0.0002 (0.0015) time: 3.0364 data: 0.0059 max mem: 31630 Epoch: [36] [4500/5278] eta: 0:37:59 lr: 5.072823654049502e-06 loss: 0.0353 (0.0365) loss_seg: 0.0351 (0.0362) loss_lansim: 0.0223 (0.0211) loss_contra: 0.0002 (0.0015) time: 3.0351 data: 0.0059 max mem: 31630 Epoch: [36] [4510/5278] eta: 0:37:30 lr: 5.070075066520617e-06 loss: 0.0351 (0.0365) loss_seg: 0.0348 (0.0362) loss_lansim: 0.0221 (0.0211) loss_contra: 0.0001 (0.0015) time: 3.0334 data: 0.0058 max mem: 31630 Epoch: [36] [4520/5278] eta: 0:37:01 lr: 5.0673263134191464e-06 loss: 0.0342 (0.0364) loss_seg: 0.0340 (0.0362) loss_lansim: 0.0218 (0.0211) loss_contra: 0.0001 (0.0015) time: 3.0387 data: 0.0058 max mem: 31630 Epoch: [36] [4530/5278] eta: 0:36:32 lr: 5.064577394635318e-06 loss: 0.0346 (0.0364) loss_seg: 0.0343 (0.0362) loss_lansim: 0.0218 (0.0211) loss_contra: 0.0001 (0.0015) time: 3.0307 data: 0.0058 max mem: 31630 Epoch: [36] [4540/5278] eta: 0:36:03 lr: 5.061828310059199e-06 loss: 0.0342 (0.0364) loss_seg: 0.0340 (0.0362) loss_lansim: 0.0218 (0.0211) loss_contra: 0.0002 (0.0015) time: 3.0301 data: 0.0058 max mem: 31630 Epoch: [36] [4550/5278] eta: 0:35:34 lr: 5.059079059580739e-06 loss: 0.0346 (0.0364) loss_seg: 0.0343 (0.0362) loss_lansim: 0.0216 (0.0211) loss_contra: 0.0002 (0.0015) time: 3.0304 data: 0.0058 max mem: 31630 Epoch: [36] [4560/5278] eta: 0:35:05 lr: 5.05632964308974e-06 loss: 0.0342 (0.0364) loss_seg: 0.0340 (0.0362) loss_lansim: 0.0216 (0.0211) loss_contra: 0.0001 (0.0015) time: 3.0316 data: 0.0058 max mem: 31630 Epoch: [36] [4570/5278] eta: 0:34:35 lr: 5.05358006047587e-06 loss: 0.0341 (0.0364) loss_seg: 0.0338 (0.0362) loss_lansim: 0.0214 (0.0211) loss_contra: 0.0001 (0.0015) time: 3.0329 data: 0.0058 max mem: 31630 Epoch: [36] [4580/5278] eta: 0:34:06 lr: 5.050830311628641e-06 loss: 0.0335 (0.0364) loss_seg: 0.0333 (0.0362) loss_lansim: 0.0212 (0.0211) loss_contra: 0.0001 (0.0015) time: 3.0345 data: 0.0058 max mem: 31630 Epoch: [36] [4590/5278] eta: 0:33:37 lr: 5.04808039643744e-06 loss: 0.0323 (0.0364) loss_seg: 0.0321 (0.0362) loss_lansim: 0.0211 (0.0211) loss_contra: 0.0001 (0.0015) time: 3.0280 data: 0.0058 max mem: 31630 Epoch: [36] [4600/5278] eta: 0:33:08 lr: 5.045330314791509e-06 loss: 0.0317 (0.0364) loss_seg: 0.0314 (0.0362) loss_lansim: 0.0212 (0.0211) loss_contra: 0.0001 (0.0015) time: 3.0275 data: 0.0058 max mem: 31630 Epoch: [36] [4610/5278] eta: 0:32:39 lr: 5.042580066579955e-06 loss: 0.0317 (0.0364) loss_seg: 0.0314 (0.0362) loss_lansim: 0.0212 (0.0211) loss_contra: 0.0001 (0.0015) time: 3.0289 data: 0.0058 max mem: 31630 Epoch: [36] [4620/5278] eta: 0:32:09 lr: 5.039829651691725e-06 loss: 0.0326 (0.0364) loss_seg: 0.0324 (0.0362) loss_lansim: 0.0212 (0.0211) loss_contra: 0.0001 (0.0015) time: 3.0282 data: 0.0058 max mem: 31630 Epoch: [36] [4630/5278] eta: 0:31:40 lr: 5.037079070015644e-06 loss: 0.0311 (0.0364) loss_seg: 0.0308 (0.0362) loss_lansim: 0.0212 (0.0211) loss_contra: 0.0001 (0.0015) time: 3.0285 data: 0.0058 max mem: 31630 Epoch: [36] [4640/5278] eta: 0:31:11 lr: 5.034328321440388e-06 loss: 0.0311 (0.0364) loss_seg: 0.0308 (0.0362) loss_lansim: 0.0213 (0.0211) loss_contra: 0.0001 (0.0015) time: 3.0244 data: 0.0058 max mem: 31630 Epoch: [36] [4650/5278] eta: 0:30:42 lr: 5.0315774058544906e-06 loss: 0.0308 (0.0364) loss_seg: 0.0305 (0.0362) loss_lansim: 0.0213 (0.0211) loss_contra: 0.0001 (0.0015) time: 3.0674 data: 0.0059 max mem: 31630 Epoch: [36] [4660/5278] eta: 0:30:14 lr: 5.028826323146353e-06 loss: 0.0308 (0.0364) loss_seg: 0.0305 (0.0362) loss_lansim: 0.0211 (0.0211) loss_contra: 0.0001 (0.0015) time: 3.1278 data: 0.0061 max mem: 31630 Epoch: [36] [4670/5278] eta: 0:29:46 lr: 5.02607507320421e-06 loss: 0.0309 (0.0364) loss_seg: 0.0307 (0.0362) loss_lansim: 0.0209 (0.0211) loss_contra: 0.0001 (0.0015) time: 3.1910 data: 0.0062 max mem: 31630 Epoch: [36] [4680/5278] eta: 0:29:17 lr: 5.023323655916177e-06 loss: 0.0309 (0.0364) loss_seg: 0.0307 (0.0362) loss_lansim: 0.0211 (0.0211) loss_contra: 0.0001 (0.0015) time: 3.2550 data: 0.0063 max mem: 31630 Epoch: [36] [4690/5278] eta: 0:28:48 lr: 5.020572071170216e-06 loss: 0.0310 (0.0364) loss_seg: 0.0308 (0.0362) loss_lansim: 0.0212 (0.0211) loss_contra: 0.0001 (0.0015) time: 3.3094 data: 0.0065 max mem: 31630 Epoch: [36] [4700/5278] eta: 0:28:20 lr: 5.017820318854156e-06 loss: 0.0310 (0.0364) loss_seg: 0.0308 (0.0361) loss_lansim: 0.0213 (0.0211) loss_contra: 0.0001 (0.0015) time: 3.3510 data: 0.0067 max mem: 31630 Epoch: [36] [4710/5278] eta: 0:27:51 lr: 5.015068398855661e-06 loss: 0.0310 (0.0364) loss_seg: 0.0308 (0.0361) loss_lansim: 0.0213 (0.0211) loss_contra: 0.0001 (0.0015) time: 3.4111 data: 0.0070 max mem: 31630 Epoch: [36] [4720/5278] eta: 0:27:23 lr: 5.012316311062272e-06 loss: 0.0311 (0.0364) loss_seg: 0.0309 (0.0361) loss_lansim: 0.0214 (0.0211) loss_contra: 0.0001 (0.0015) time: 3.4756 data: 0.0072 max mem: 31630 Epoch: [36] [4730/5278] eta: 0:26:54 lr: 5.009564055361376e-06 loss: 0.0323 (0.0364) loss_seg: 0.0320 (0.0361) loss_lansim: 0.0214 (0.0211) loss_contra: 0.0001 (0.0015) time: 3.5464 data: 0.0074 max mem: 31630 Epoch: [36] [4740/5278] eta: 0:26:25 lr: 5.006811631640226e-06 loss: 0.0323 (0.0364) loss_seg: 0.0320 (0.0361) loss_lansim: 0.0214 (0.0211) loss_contra: 0.0001 (0.0015) time: 3.6127 data: 0.0077 max mem: 31630 Epoch: [36] [4750/5278] eta: 0:25:56 lr: 5.00405903978591e-06 loss: 0.0330 (0.0364) loss_seg: 0.0327 (0.0362) loss_lansim: 0.0214 (0.0211) loss_contra: 0.0001 (0.0015) time: 3.6123 data: 0.0077 max mem: 31630 Epoch: [36] [4760/5278] eta: 0:25:28 lr: 5.001306279685389e-06 loss: 0.0335 (0.0364) loss_seg: 0.0333 (0.0362) loss_lansim: 0.0215 (0.0211) loss_contra: 0.0001 (0.0015) time: 3.6080 data: 0.0078 max mem: 31630 Epoch: [36] [4770/5278] eta: 0:24:59 lr: 4.998553351225473e-06 loss: 0.0335 (0.0364) loss_seg: 0.0333 (0.0362) loss_lansim: 0.0217 (0.0211) loss_contra: 0.0001 (0.0015) time: 3.5750 data: 0.0078 max mem: 31630 Epoch: [36] [4780/5278] eta: 0:24:29 lr: 4.995800254292834e-06 loss: 0.0336 (0.0364) loss_seg: 0.0334 (0.0362) loss_lansim: 0.0220 (0.0211) loss_contra: 0.0001 (0.0015) time: 3.5166 data: 0.0078 max mem: 31630 Epoch: [36] [4790/5278] eta: 0:24:00 lr: 4.993046988773978e-06 loss: 0.0336 (0.0364) loss_seg: 0.0334 (0.0362) loss_lansim: 0.0219 (0.0211) loss_contra: 0.0001 (0.0015) time: 3.4660 data: 0.0077 max mem: 31630 Epoch: [36] [4800/5278] eta: 0:23:30 lr: 4.990293554555285e-06 loss: 0.0336 (0.0364) loss_seg: 0.0334 (0.0361) loss_lansim: 0.0219 (0.0211) loss_contra: 0.0001 (0.0015) time: 3.4255 data: 0.0077 max mem: 31630 Epoch: [36] [4810/5278] eta: 0:23:01 lr: 4.98753995152298e-06 loss: 0.0340 (0.0364) loss_seg: 0.0337 (0.0362) loss_lansim: 0.0221 (0.0211) loss_contra: 0.0001 (0.0015) time: 3.3618 data: 0.0075 max mem: 31630 Epoch: [36] [4820/5278] eta: 0:22:31 lr: 4.984786179563152e-06 loss: 0.0351 (0.0364) loss_seg: 0.0349 (0.0362) loss_lansim: 0.0219 (0.0211) loss_contra: 0.0001 (0.0015) time: 3.2988 data: 0.0073 max mem: 31630 Epoch: [36] [4830/5278] eta: 0:22:02 lr: 4.9820322385617185e-06 loss: 0.0347 (0.0364) loss_seg: 0.0345 (0.0362) loss_lansim: 0.0216 (0.0211) loss_contra: 0.0001 (0.0015) time: 3.2344 data: 0.0072 max mem: 31630 Epoch: [36] [4840/5278] eta: 0:21:33 lr: 4.979278128404475e-06 loss: 0.0354 (0.0364) loss_seg: 0.0352 (0.0362) loss_lansim: 0.0215 (0.0211) loss_contra: 0.0001 (0.0015) time: 3.1754 data: 0.0070 max mem: 31630 Epoch: [36] [4850/5278] eta: 0:21:03 lr: 4.97652384897706e-06 loss: 0.0347 (0.0364) loss_seg: 0.0345 (0.0362) loss_lansim: 0.0215 (0.0211) loss_contra: 0.0001 (0.0015) time: 3.1344 data: 0.0069 max mem: 31630 Epoch: [36] [4860/5278] eta: 0:20:34 lr: 4.973769400164963e-06 loss: 0.0349 (0.0364) loss_seg: 0.0347 (0.0362) loss_lansim: 0.0215 (0.0211) loss_contra: 0.0001 (0.0015) time: 3.0704 data: 0.0069 max mem: 31630 Epoch: [36] [4870/5278] eta: 0:20:04 lr: 4.971014781853534e-06 loss: 0.0347 (0.0364) loss_seg: 0.0345 (0.0361) loss_lansim: 0.0213 (0.0211) loss_contra: 0.0001 (0.0015) time: 3.0425 data: 0.0068 max mem: 31630 Epoch: [36] [4880/5278] eta: 0:19:35 lr: 4.968259993927956e-06 loss: 0.0345 (0.0364) loss_seg: 0.0343 (0.0361) loss_lansim: 0.0213 (0.0212) loss_contra: 0.0001 (0.0015) time: 3.0422 data: 0.0068 max mem: 31630 Epoch: [36] [4890/5278] eta: 0:19:05 lr: 4.965505036273281e-06 loss: 0.0345 (0.0364) loss_seg: 0.0343 (0.0361) loss_lansim: 0.0215 (0.0212) loss_contra: 0.0001 (0.0015) time: 3.0455 data: 0.0067 max mem: 31630 Epoch: [36] [4900/5278] eta: 0:18:36 lr: 4.962749908774406e-06 loss: 0.0349 (0.0364) loss_seg: 0.0347 (0.0361) loss_lansim: 0.0214 (0.0212) loss_contra: 0.0001 (0.0015) time: 3.0483 data: 0.0067 max mem: 31630 Epoch: [36] [4910/5278] eta: 0:18:06 lr: 4.959994611316087e-06 loss: 0.0348 (0.0364) loss_seg: 0.0346 (0.0362) loss_lansim: 0.0214 (0.0212) loss_contra: 0.0001 (0.0015) time: 3.0533 data: 0.0066 max mem: 31630 Epoch: [36] [4920/5278] eta: 0:17:37 lr: 4.957239143782909e-06 loss: 0.0342 (0.0364) loss_seg: 0.0340 (0.0361) loss_lansim: 0.0216 (0.0212) loss_contra: 0.0001 (0.0015) time: 3.0516 data: 0.0066 max mem: 31630 Epoch: [36] [4930/5278] eta: 0:17:08 lr: 4.9544835060593286e-06 loss: 0.0341 (0.0364) loss_seg: 0.0338 (0.0361) loss_lansim: 0.0217 (0.0212) loss_contra: 0.0001 (0.0015) time: 3.0502 data: 0.0066 max mem: 31630 Epoch: [36] [4940/5278] eta: 0:16:38 lr: 4.951727698029645e-06 loss: 0.0329 (0.0364) loss_seg: 0.0327 (0.0361) loss_lansim: 0.0223 (0.0212) loss_contra: 0.0001 (0.0015) time: 3.0480 data: 0.0066 max mem: 31630 Epoch: [36] [4950/5278] eta: 0:16:09 lr: 4.948971719578013e-06 loss: 0.0337 (0.0364) loss_seg: 0.0335 (0.0361) loss_lansim: 0.0222 (0.0212) loss_contra: 0.0001 (0.0015) time: 3.0474 data: 0.0066 max mem: 31630 Epoch: [36] [4960/5278] eta: 0:15:39 lr: 4.946215570588419e-06 loss: 0.0333 (0.0364) loss_seg: 0.0330 (0.0361) loss_lansim: 0.0223 (0.0212) loss_contra: 0.0001 (0.0015) time: 3.0542 data: 0.0065 max mem: 31630 Epoch: [36] [4970/5278] eta: 0:15:10 lr: 4.943459250944716e-06 loss: 0.0342 (0.0364) loss_seg: 0.0340 (0.0361) loss_lansim: 0.0228 (0.0212) loss_contra: 0.0001 (0.0015) time: 3.0520 data: 0.0065 max mem: 31630 Epoch: [36] [4980/5278] eta: 0:14:40 lr: 4.9407027605306024e-06 loss: 0.0344 (0.0364) loss_seg: 0.0342 (0.0362) loss_lansim: 0.0229 (0.0212) loss_contra: 0.0001 (0.0015) time: 3.0494 data: 0.0065 max mem: 31630 Epoch: [36] [4990/5278] eta: 0:14:11 lr: 4.937946099229628e-06 loss: 0.0344 (0.0364) loss_seg: 0.0342 (0.0361) loss_lansim: 0.0229 (0.0212) loss_contra: 0.0001 (0.0015) time: 3.0434 data: 0.0065 max mem: 31630 Epoch: [36] [5000/5278] eta: 0:13:41 lr: 4.935189266925175e-06 loss: 0.0344 (0.0364) loss_seg: 0.0342 (0.0361) loss_lansim: 0.0231 (0.0212) loss_contra: 0.0001 (0.0015) time: 3.0381 data: 0.0065 max mem: 31630 Epoch: [36] [5010/5278] eta: 0:13:12 lr: 4.93243226350049e-06 loss: 0.0350 (0.0364) loss_seg: 0.0347 (0.0362) loss_lansim: 0.0231 (0.0212) loss_contra: 0.0001 (0.0015) time: 3.0351 data: 0.0064 max mem: 31630 Epoch: [36] [5020/5278] eta: 0:12:42 lr: 4.929675088838663e-06 loss: 0.0350 (0.0364) loss_seg: 0.0347 (0.0362) loss_lansim: 0.0230 (0.0212) loss_contra: 0.0001 (0.0015) time: 3.0338 data: 0.0065 max mem: 31630 Epoch: [36] [5030/5278] eta: 0:12:12 lr: 4.926917742822637e-06 loss: 0.0353 (0.0364) loss_seg: 0.0351 (0.0362) loss_lansim: 0.0231 (0.0212) loss_contra: 0.0001 (0.0014) time: 3.0288 data: 0.0064 max mem: 31630 Epoch: [36] [5040/5278] eta: 0:11:43 lr: 4.924160225335181e-06 loss: 0.0357 (0.0364) loss_seg: 0.0355 (0.0361) loss_lansim: 0.0231 (0.0212) loss_contra: 0.0001 (0.0014) time: 3.0234 data: 0.0065 max mem: 31630 Epoch: [36] [5050/5278] eta: 0:11:13 lr: 4.921402536258936e-06 loss: 0.0350 (0.0364) loss_seg: 0.0348 (0.0361) loss_lansim: 0.0231 (0.0212) loss_contra: 0.0001 (0.0014) time: 3.0190 data: 0.0064 max mem: 31630 Epoch: [36] [5060/5278] eta: 0:10:44 lr: 4.918644675476375e-06 loss: 0.0353 (0.0364) loss_seg: 0.0351 (0.0361) loss_lansim: 0.0231 (0.0212) loss_contra: 0.0001 (0.0014) time: 3.0180 data: 0.0064 max mem: 31630 Epoch: [36] [5070/5278] eta: 0:10:14 lr: 4.915886642869829e-06 loss: 0.0350 (0.0364) loss_seg: 0.0348 (0.0361) loss_lansim: 0.0230 (0.0212) loss_contra: 0.0001 (0.0014) time: 3.0203 data: 0.0064 max mem: 31630 Epoch: [36] [5080/5278] eta: 0:09:45 lr: 4.913128438321455e-06 loss: 0.0350 (0.0364) loss_seg: 0.0348 (0.0361) loss_lansim: 0.0227 (0.0212) loss_contra: 0.0001 (0.0014) time: 3.0202 data: 0.0064 max mem: 31630 Epoch: [36] [5090/5278] eta: 0:09:15 lr: 4.910370061713275e-06 loss: 0.0342 (0.0364) loss_seg: 0.0340 (0.0361) loss_lansim: 0.0227 (0.0212) loss_contra: 0.0001 (0.0014) time: 3.0149 data: 0.0064 max mem: 31630 Epoch: [36] [5100/5278] eta: 0:08:46 lr: 4.907611512927148e-06 loss: 0.0341 (0.0364) loss_seg: 0.0338 (0.0361) loss_lansim: 0.0226 (0.0212) loss_contra: 0.0001 (0.0014) time: 3.0133 data: 0.0065 max mem: 31630 Epoch: [36] [5110/5278] eta: 0:08:16 lr: 4.90485279184478e-06 loss: 0.0340 (0.0364) loss_seg: 0.0338 (0.0361) loss_lansim: 0.0227 (0.0213) loss_contra: 0.0001 (0.0014) time: 3.0099 data: 0.0065 max mem: 31630 Epoch: [36] [5120/5278] eta: 0:07:47 lr: 4.902093898347725e-06 loss: 0.0341 (0.0364) loss_seg: 0.0339 (0.0361) loss_lansim: 0.0230 (0.0213) loss_contra: 0.0001 (0.0014) time: 3.0087 data: 0.0065 max mem: 31630 Epoch: [36] [5130/5278] eta: 0:07:17 lr: 4.899334832317368e-06 loss: 0.0342 (0.0364) loss_seg: 0.0340 (0.0362) loss_lansim: 0.0231 (0.0213) loss_contra: 0.0001 (0.0014) time: 3.0152 data: 0.0066 max mem: 31630 Epoch: [36] [5140/5278] eta: 0:06:48 lr: 4.8965755936349526e-06 loss: 0.0349 (0.0364) loss_seg: 0.0347 (0.0361) loss_lansim: 0.0231 (0.0213) loss_contra: 0.0001 (0.0014) time: 3.0196 data: 0.0066 max mem: 31630 Epoch: [36] [5150/5278] eta: 0:06:18 lr: 4.893816182181561e-06 loss: 0.0344 (0.0364) loss_seg: 0.0342 (0.0361) loss_lansim: 0.0233 (0.0213) loss_contra: 0.0001 (0.0014) time: 3.0188 data: 0.0065 max mem: 31630 Epoch: [36] [5160/5278] eta: 0:05:48 lr: 4.891056597838126e-06 loss: 0.0341 (0.0364) loss_seg: 0.0338 (0.0361) loss_lansim: 0.0238 (0.0213) loss_contra: 0.0001 (0.0014) time: 3.0175 data: 0.0066 max mem: 31630 Epoch: [36] [5170/5278] eta: 0:05:19 lr: 4.888296840485404e-06 loss: 0.0344 (0.0364) loss_seg: 0.0342 (0.0361) loss_lansim: 0.0239 (0.0213) loss_contra: 0.0001 (0.0014) time: 3.0150 data: 0.0066 max mem: 31630 Epoch: [36] [5180/5278] eta: 0:04:49 lr: 4.885536910004014e-06 loss: 0.0341 (0.0364) loss_seg: 0.0338 (0.0361) loss_lansim: 0.0238 (0.0213) loss_contra: 0.0001 (0.0014) time: 3.0123 data: 0.0066 max mem: 31630 Epoch: [36] [5190/5278] eta: 0:04:20 lr: 4.882776806274409e-06 loss: 0.0345 (0.0364) loss_seg: 0.0342 (0.0361) loss_lansim: 0.0239 (0.0213) loss_contra: 0.0001 (0.0014) time: 3.0198 data: 0.0066 max mem: 31630 Epoch: [36] [5200/5278] eta: 0:03:50 lr: 4.880016529176894e-06 loss: 0.0345 (0.0364) loss_seg: 0.0342 (0.0361) loss_lansim: 0.0239 (0.0213) loss_contra: 0.0001 (0.0014) time: 3.0255 data: 0.0066 max mem: 31630 Epoch: [36] [5210/5278] eta: 0:03:21 lr: 4.877256078591595e-06 loss: 0.0341 (0.0363) loss_seg: 0.0338 (0.0361) loss_lansim: 0.0238 (0.0213) loss_contra: 0.0001 (0.0014) time: 3.0272 data: 0.0066 max mem: 31630 Epoch: [36] [5220/5278] eta: 0:02:51 lr: 4.874495454398499e-06 loss: 0.0337 (0.0363) loss_seg: 0.0334 (0.0361) loss_lansim: 0.0234 (0.0213) loss_contra: 0.0001 (0.0014) time: 3.0284 data: 0.0066 max mem: 31630 Epoch: [36] [5230/5278] eta: 0:02:21 lr: 4.871734656477428e-06 loss: 0.0334 (0.0363) loss_seg: 0.0331 (0.0361) loss_lansim: 0.0232 (0.0213) loss_contra: 0.0001 (0.0014) time: 3.0265 data: 0.0065 max mem: 31630 Epoch: [36] [5240/5278] eta: 0:01:52 lr: 4.868973684708053e-06 loss: 0.0341 (0.0363) loss_seg: 0.0338 (0.0361) loss_lansim: 0.0233 (0.0213) loss_contra: 0.0001 (0.0014) time: 3.0277 data: 0.0065 max mem: 31630 Epoch: [36] [5250/5278] eta: 0:01:22 lr: 4.8662125389698625e-06 loss: 0.0341 (0.0363) loss_seg: 0.0338 (0.0361) loss_lansim: 0.0231 (0.0213) loss_contra: 0.0001 (0.0014) time: 3.0332 data: 0.0066 max mem: 31630 Epoch: [36] [5260/5278] eta: 0:00:53 lr: 4.8634512191422095e-06 loss: 0.0342 (0.0363) loss_seg: 0.0340 (0.0361) loss_lansim: 0.0231 (0.0213) loss_contra: 0.0001 (0.0014) time: 3.0394 data: 0.0066 max mem: 31630 Epoch: [36] [5270/5278] eta: 0:00:23 lr: 4.860689725104278e-06 loss: 0.0341 (0.0363) loss_seg: 0.0338 (0.0361) loss_lansim: 0.0230 (0.0213) loss_contra: 0.0001 (0.0014) time: 3.0408 data: 0.0066 max mem: 31630 Epoch: [36] Total time: 4:20:18 Test: [ 0/2573] eta: 1:08:29 time: 1.5971 data: 1.4290 max mem: 31630 Test: [ 100/2573] eta: 0:06:45 time: 0.1498 data: 0.0017 max mem: 31630 Test: [ 200/2573] eta: 0:06:16 time: 0.1530 data: 0.0018 max mem: 31630 Test: [ 300/2573] eta: 0:05:51 time: 0.1468 data: 0.0018 max mem: 31630 Test: [ 400/2573] eta: 0:05:33 time: 0.1502 data: 0.0018 max mem: 31630 Test: [ 500/2573] eta: 0:05:16 time: 0.1495 data: 0.0018 max mem: 31630 Test: [ 600/2573] eta: 0:05:01 time: 0.1525 data: 0.0018 max mem: 31630 Test: [ 700/2573] eta: 0:04:47 time: 0.1575 data: 0.0018 max mem: 31630 Test: [ 800/2573] eta: 0:04:32 time: 0.1545 data: 0.0018 max mem: 31630 Test: [ 900/2573] eta: 0:04:17 time: 0.1545 data: 0.0018 max mem: 31630 Test: [1000/2573] eta: 0:04:01 time: 0.1532 data: 0.0018 max mem: 31630 Test: [1100/2573] eta: 0:03:46 time: 0.1523 data: 0.0018 max mem: 31630 Test: [1200/2573] eta: 0:03:31 time: 0.1567 data: 0.0018 max mem: 31630 Test: [1300/2573] eta: 0:03:15 time: 0.1518 data: 0.0018 max mem: 31630 Test: [1400/2573] eta: 0:02:59 time: 0.1482 data: 0.0018 max mem: 31630 Test: [1500/2573] eta: 0:02:44 time: 0.1521 data: 0.0017 max mem: 31630 Test: [1600/2573] eta: 0:02:28 time: 0.1514 data: 0.0017 max mem: 31630 Test: [1700/2573] eta: 0:02:13 time: 0.1512 data: 0.0017 max mem: 31630 Test: [1800/2573] eta: 0:01:58 time: 0.1494 data: 0.0018 max mem: 31630 Test: [1900/2573] eta: 0:01:42 time: 0.1476 data: 0.0017 max mem: 31630 Test: [2000/2573] eta: 0:01:27 time: 0.1503 data: 0.0018 max mem: 31630 Test: [2100/2573] eta: 0:01:12 time: 0.1526 data: 0.0017 max mem: 31630 Test: [2200/2573] eta: 0:00:56 time: 0.1489 data: 0.0018 max mem: 31630 Test: [2300/2573] eta: 0:00:41 time: 0.1549 data: 0.0018 max mem: 31630 Test: [2400/2573] eta: 0:00:26 time: 0.1533 data: 0.0018 max mem: 31630 Test: [2500/2573] eta: 0:00:11 time: 0.1562 data: 0.0018 max mem: 31630 Test: Total time: 0:06:32 Final results: precision@0.5 = 71.06 precision@0.6 = 66.30 precision@0.7 = 60.46 precision@0.8 = 49.12 precision@0.9 = 24.92 overall IoU = 59.83 mean IoU = 62.89 Better epoch: 36 The best_performance is 59.83388178122865 Epoch: [37] [ 0/5278] eta: 7:19:00 lr: 4.858480404361244e-06 loss: 0.0374 (0.0374) loss_seg: 0.0371 (0.0371) loss_lansim: 0.0239 (0.0239) loss_contra: 0.0003 (0.0003) time: 4.9905 data: 1.7866 max mem: 31630 Epoch: [37] [ 10/5278] eta: 4:45:05 lr: 4.855718596439846e-06 loss: 0.0339 (0.0353) loss_seg: 0.0336 (0.0350) loss_lansim: 0.0239 (0.0244) loss_contra: 0.0003 (0.0008) time: 3.2471 data: 0.1687 max mem: 31630 Epoch: [37] [ 20/5278] eta: 4:35:13 lr: 4.852956613969038e-06 loss: 0.0339 (0.0349) loss_seg: 0.0336 (0.0347) loss_lansim: 0.0237 (0.0237) loss_contra: 0.0003 (0.0007) time: 3.1406 data: 0.0916 max mem: 31630 Epoch: [37] [ 30/5278] eta: 4:29:39 lr: 4.850194456827384e-06 loss: 0.0336 (0.0353) loss_seg: 0.0334 (0.0351) loss_lansim: 0.0236 (0.0235) loss_contra: 0.0002 (0.0006) time: 3.0830 data: 0.0644 max mem: 31630 Epoch: [37] [ 40/5278] eta: 4:26:37 lr: 4.847432124893303e-06 loss: 0.0336 (0.0349) loss_seg: 0.0334 (0.0346) loss_lansim: 0.0238 (0.0238) loss_contra: 0.0001 (0.0007) time: 3.0541 data: 0.0505 max mem: 31630 Epoch: [37] [ 50/5278] eta: 4:24:55 lr: 4.844669618045045e-06 loss: 0.0338 (0.0347) loss_seg: 0.0336 (0.0345) loss_lansim: 0.0238 (0.0241) loss_contra: 0.0001 (0.0009) time: 3.0404 data: 0.0419 max mem: 31630 Epoch: [37] [ 60/5278] eta: 4:23:15 lr: 4.8419069361607075e-06 loss: 0.0339 (0.0349) loss_seg: 0.0336 (0.0347) loss_lansim: 0.0237 (0.0239) loss_contra: 0.0001 (0.0008) time: 3.0272 data: 0.0362 max mem: 31630 Epoch: [37] [ 70/5278] eta: 4:22:12 lr: 4.839144079118203e-06 loss: 0.0342 (0.0357) loss_seg: 0.0339 (0.0354) loss_lansim: 0.0237 (0.0240) loss_contra: 0.0001 (0.0014) time: 3.0209 data: 0.0320 max mem: 31630 Epoch: [37] [ 80/5278] eta: 4:21:10 lr: 4.836381046795303e-06 loss: 0.0342 (0.0355) loss_seg: 0.0339 (0.0352) loss_lansim: 0.0237 (0.0240) loss_contra: 0.0002 (0.0012) time: 3.0147 data: 0.0289 max mem: 31630 Epoch: [37] [ 90/5278] eta: 4:20:01 lr: 4.833617839069608e-06 loss: 0.0340 (0.0352) loss_seg: 0.0338 (0.0350) loss_lansim: 0.0238 (0.0241) loss_contra: 0.0001 (0.0011) time: 3.0071 data: 0.0265 max mem: 31630 Epoch: [37] [ 100/5278] eta: 4:19:06 lr: 4.8308544558185644e-06 loss: 0.0340 (0.0352) loss_seg: 0.0337 (0.0349) loss_lansim: 0.0237 (0.0241) loss_contra: 0.0001 (0.0011) time: 2.9826 data: 0.0069 max mem: 31630 Epoch: [37] [ 110/5278] eta: 4:18:47 lr: 4.828090896919432e-06 loss: 0.0340 (0.0352) loss_seg: 0.0338 (0.0349) loss_lansim: 0.0237 (0.0241) loss_contra: 0.0001 (0.0011) time: 2.9778 data: 0.0068 max mem: 31630 Epoch: [37] [ 120/5278] eta: 4:18:51 lr: 4.825327162249329e-06 loss: 0.0342 (0.0352) loss_seg: 0.0339 (0.0349) loss_lansim: 0.0238 (0.0241) loss_contra: 0.0001 (0.0010) time: 2.9839 data: 0.0069 max mem: 31630 Epoch: [37] [ 130/5278] eta: 4:18:49 lr: 4.8225632516852005e-06 loss: 0.0340 (0.0349) loss_seg: 0.0338 (0.0347) loss_lansim: 0.0238 (0.0240) loss_contra: 0.0001 (0.0009) time: 2.9960 data: 0.0068 max mem: 31630 Epoch: [37] [ 140/5278] eta: 4:18:47 lr: 4.819799165103829e-06 loss: 0.0340 (0.0348) loss_seg: 0.0337 (0.0346) loss_lansim: 0.0236 (0.0241) loss_contra: 0.0001 (0.0010) time: 3.0089 data: 0.0068 max mem: 31630 Epoch: [37] [ 150/5278] eta: 4:18:09 lr: 4.817034902381838e-06 loss: 0.0342 (0.0350) loss_seg: 0.0339 (0.0348) loss_lansim: 0.0236 (0.0241) loss_contra: 0.0001 (0.0010) time: 3.0106 data: 0.0068 max mem: 31630 Epoch: [37] [ 160/5278] eta: 4:17:29 lr: 4.814270463395666e-06 loss: 0.0340 (0.0351) loss_seg: 0.0337 (0.0349) loss_lansim: 0.0236 (0.0242) loss_contra: 0.0001 (0.0010) time: 3.0133 data: 0.0068 max mem: 31630 Epoch: [37] [ 170/5278] eta: 4:17:07 lr: 4.811505848021606e-06 loss: 0.0333 (0.0351) loss_seg: 0.0331 (0.0348) loss_lansim: 0.0233 (0.0241) loss_contra: 0.0001 (0.0013) time: 3.0197 data: 0.0068 max mem: 31630 Epoch: [37] [ 180/5278] eta: 4:16:18 lr: 4.808741056135777e-06 loss: 0.0333 (0.0351) loss_seg: 0.0331 (0.0348) loss_lansim: 0.0236 (0.0241) loss_contra: 0.0001 (0.0013) time: 3.0181 data: 0.0068 max mem: 31630 Epoch: [37] [ 190/5278] eta: 4:15:52 lr: 4.805976087614141e-06 loss: 0.0333 (0.0351) loss_seg: 0.0331 (0.0348) loss_lansim: 0.0235 (0.0241) loss_contra: 0.0001 (0.0013) time: 3.0266 data: 0.0068 max mem: 31630 Epoch: [37] [ 200/5278] eta: 4:15:29 lr: 4.803210942332471e-06 loss: 0.0333 (0.0352) loss_seg: 0.0331 (0.0350) loss_lansim: 0.0235 (0.0240) loss_contra: 0.0001 (0.0012) time: 3.0351 data: 0.0069 max mem: 31630 Epoch: [37] [ 210/5278] eta: 4:15:00 lr: 4.800445620166394e-06 loss: 0.0339 (0.0353) loss_seg: 0.0337 (0.0350) loss_lansim: 0.0235 (0.0240) loss_contra: 0.0001 (0.0012) time: 3.0350 data: 0.0069 max mem: 31630 Epoch: [37] [ 220/5278] eta: 4:14:29 lr: 4.797680120991365e-06 loss: 0.0340 (0.0355) loss_seg: 0.0337 (0.0353) loss_lansim: 0.0235 (0.0240) loss_contra: 0.0001 (0.0011) time: 3.0281 data: 0.0068 max mem: 31630 Epoch: [37] [ 230/5278] eta: 4:14:05 lr: 4.794914444682677e-06 loss: 0.0340 (0.0354) loss_seg: 0.0337 (0.0352) loss_lansim: 0.0236 (0.0240) loss_contra: 0.0001 (0.0011) time: 3.0247 data: 0.0067 max mem: 31630 Epoch: [37] [ 240/5278] eta: 4:13:43 lr: 4.792148591115433e-06 loss: 0.0339 (0.0353) loss_seg: 0.0337 (0.0350) loss_lansim: 0.0234 (0.0239) loss_contra: 0.0001 (0.0011) time: 3.0212 data: 0.0067 max mem: 31630 Epoch: [37] [ 250/5278] eta: 4:13:17 lr: 4.789382560164589e-06 loss: 0.0332 (0.0351) loss_seg: 0.0330 (0.0349) loss_lansim: 0.0235 (0.0239) loss_contra: 0.0001 (0.0013) time: 3.0256 data: 0.0067 max mem: 31630 Epoch: [37] [ 260/5278] eta: 4:12:58 lr: 4.786616351704929e-06 loss: 0.0327 (0.0350) loss_seg: 0.0324 (0.0348) loss_lansim: 0.0233 (0.0238) loss_contra: 0.0001 (0.0013) time: 3.0348 data: 0.0066 max mem: 31630 Epoch: [37] [ 270/5278] eta: 4:12:33 lr: 4.7838499656110705e-06 loss: 0.0322 (0.0352) loss_seg: 0.0320 (0.0349) loss_lansim: 0.0234 (0.0238) loss_contra: 0.0001 (0.0013) time: 3.0353 data: 0.0066 max mem: 31630 Epoch: [37] [ 280/5278] eta: 4:12:04 lr: 4.781083401757442e-06 loss: 0.0321 (0.0351) loss_seg: 0.0318 (0.0349) loss_lansim: 0.0233 (0.0238) loss_contra: 0.0001 (0.0013) time: 3.0436 data: 0.0065 max mem: 31630 Epoch: [37] [ 290/5278] eta: 4:11:35 lr: 4.778316660018328e-06 loss: 0.0321 (0.0352) loss_seg: 0.0318 (0.0349) loss_lansim: 0.0233 (0.0239) loss_contra: 0.0001 (0.0013) time: 3.0437 data: 0.0065 max mem: 31630 Epoch: [37] [ 300/5278] eta: 4:10:58 lr: 4.7755497402678274e-06 loss: 0.0319 (0.0351) loss_seg: 0.0317 (0.0349) loss_lansim: 0.0233 (0.0238) loss_contra: 0.0001 (0.0012) time: 3.0376 data: 0.0064 max mem: 31630 Epoch: [37] [ 310/5278] eta: 4:10:26 lr: 4.772782642379884e-06 loss: 0.0318 (0.0352) loss_seg: 0.0316 (0.0349) loss_lansim: 0.0233 (0.0238) loss_contra: 0.0001 (0.0012) time: 3.0364 data: 0.0064 max mem: 31630 Epoch: [37] [ 320/5278] eta: 4:09:58 lr: 4.770015366228246e-06 loss: 0.0318 (0.0353) loss_seg: 0.0316 (0.0351) loss_lansim: 0.0232 (0.0238) loss_contra: 0.0001 (0.0012) time: 3.0392 data: 0.0064 max mem: 31630 Epoch: [37] [ 330/5278] eta: 4:09:29 lr: 4.767247911686513e-06 loss: 0.0320 (0.0353) loss_seg: 0.0318 (0.0350) loss_lansim: 0.0233 (0.0238) loss_contra: 0.0001 (0.0012) time: 3.0376 data: 0.0064 max mem: 31630 Epoch: [37] [ 340/5278] eta: 4:08:53 lr: 4.764480278628107e-06 loss: 0.0327 (0.0353) loss_seg: 0.0324 (0.0351) loss_lansim: 0.0232 (0.0238) loss_contra: 0.0001 (0.0012) time: 3.0302 data: 0.0065 max mem: 31630 Epoch: [37] [ 350/5278] eta: 4:08:20 lr: 4.761712466926281e-06 loss: 0.0329 (0.0352) loss_seg: 0.0327 (0.0350) loss_lansim: 0.0231 (0.0238) loss_contra: 0.0001 (0.0012) time: 3.0263 data: 0.0065 max mem: 31630 Epoch: [37] [ 360/5278] eta: 4:07:49 lr: 4.758944476454102e-06 loss: 0.0350 (0.0354) loss_seg: 0.0348 (0.0351) loss_lansim: 0.0232 (0.0238) loss_contra: 0.0001 (0.0012) time: 3.0200 data: 0.0065 max mem: 31630 Epoch: [37] [ 370/5278] eta: 4:07:10 lr: 4.756176307084481e-06 loss: 0.0350 (0.0353) loss_seg: 0.0348 (0.0351) loss_lansim: 0.0234 (0.0239) loss_contra: 0.0001 (0.0011) time: 3.0108 data: 0.0066 max mem: 31630 Epoch: [37] [ 380/5278] eta: 4:06:42 lr: 4.75340795869015e-06 loss: 0.0344 (0.0352) loss_seg: 0.0342 (0.0350) loss_lansim: 0.0234 (0.0239) loss_contra: 0.0001 (0.0011) time: 3.0109 data: 0.0066 max mem: 31630 Epoch: [37] [ 390/5278] eta: 4:06:15 lr: 4.750639431143669e-06 loss: 0.0333 (0.0352) loss_seg: 0.0330 (0.0349) loss_lansim: 0.0235 (0.0239) loss_contra: 0.0001 (0.0011) time: 3.0126 data: 0.0066 max mem: 31630 Epoch: [37] [ 400/5278] eta: 4:05:37 lr: 4.7478707243174315e-06 loss: 0.0332 (0.0351) loss_seg: 0.0329 (0.0349) loss_lansim: 0.0236 (0.0239) loss_contra: 0.0001 (0.0011) time: 3.0095 data: 0.0066 max mem: 31630 Epoch: [37] [ 410/5278] eta: 4:04:54 lr: 4.745101838083636e-06 loss: 0.0332 (0.0352) loss_seg: 0.0329 (0.0350) loss_lansim: 0.0234 (0.0239) loss_contra: 0.0001 (0.0011) time: 3.0003 data: 0.0066 max mem: 31630 Epoch: [37] [ 420/5278] eta: 4:04:13 lr: 4.742332772314329e-06 loss: 0.0328 (0.0353) loss_seg: 0.0326 (0.0351) loss_lansim: 0.0236 (0.0239) loss_contra: 0.0001 (0.0011) time: 2.9885 data: 0.0066 max mem: 31630 Epoch: [37] [ 430/5278] eta: 4:03:26 lr: 4.739563526881374e-06 loss: 0.0342 (0.0354) loss_seg: 0.0340 (0.0351) loss_lansim: 0.0236 (0.0239) loss_contra: 0.0001 (0.0010) time: 2.9712 data: 0.0066 max mem: 31630 Epoch: [37] [ 440/5278] eta: 4:02:33 lr: 4.736794101656466e-06 loss: 0.0333 (0.0353) loss_seg: 0.0330 (0.0351) loss_lansim: 0.0239 (0.0239) loss_contra: 0.0001 (0.0010) time: 2.9538 data: 0.0065 max mem: 31630 Epoch: [37] [ 450/5278] eta: 4:01:45 lr: 4.73402449651111e-06 loss: 0.0333 (0.0353) loss_seg: 0.0330 (0.0350) loss_lansim: 0.0241 (0.0240) loss_contra: 0.0001 (0.0010) time: 2.9367 data: 0.0064 max mem: 31630 Epoch: [37] [ 460/5278] eta: 4:00:54 lr: 4.7312547113166485e-06 loss: 0.0327 (0.0352) loss_seg: 0.0324 (0.0349) loss_lansim: 0.0242 (0.0239) loss_contra: 0.0001 (0.0010) time: 2.9155 data: 0.0064 max mem: 31630 Epoch: [37] [ 470/5278] eta: 4:00:00 lr: 4.728484745944246e-06 loss: 0.0327 (0.0352) loss_seg: 0.0324 (0.0350) loss_lansim: 0.0240 (0.0240) loss_contra: 0.0001 (0.0010) time: 2.8967 data: 0.0062 max mem: 31630 Epoch: [37] [ 480/5278] eta: 3:59:05 lr: 4.725714600264896e-06 loss: 0.0333 (0.0352) loss_seg: 0.0330 (0.0350) loss_lansim: 0.0240 (0.0240) loss_contra: 0.0001 (0.0011) time: 2.8668 data: 0.0061 max mem: 31630 Epoch: [37] [ 490/5278] eta: 3:58:08 lr: 4.722944274149397e-06 loss: 0.0334 (0.0353) loss_seg: 0.0332 (0.0350) loss_lansim: 0.0242 (0.0240) loss_contra: 0.0001 (0.0010) time: 2.8330 data: 0.0060 max mem: 31630 Epoch: [37] [ 500/5278] eta: 3:57:12 lr: 4.720173767468388e-06 loss: 0.0331 (0.0351) loss_seg: 0.0329 (0.0349) loss_lansim: 0.0242 (0.0240) loss_contra: 0.0001 (0.0010) time: 2.8093 data: 0.0060 max mem: 31630 Epoch: [37] [ 510/5278] eta: 3:56:19 lr: 4.717403080092328e-06 loss: 0.0321 (0.0350) loss_seg: 0.0315 (0.0347) loss_lansim: 0.0241 (0.0240) loss_contra: 0.0001 (0.0010) time: 2.7904 data: 0.0059 max mem: 31630 Epoch: [37] [ 520/5278] eta: 3:55:29 lr: 4.714632211891502e-06 loss: 0.0317 (0.0350) loss_seg: 0.0315 (0.0347) loss_lansim: 0.0240 (0.0240) loss_contra: 0.0001 (0.0010) time: 2.7728 data: 0.0059 max mem: 31630 Epoch: [37] [ 530/5278] eta: 3:54:39 lr: 4.711861162735998e-06 loss: 0.0304 (0.0349) loss_seg: 0.0301 (0.0347) loss_lansim: 0.0236 (0.0240) loss_contra: 0.0001 (0.0010) time: 2.7605 data: 0.0058 max mem: 31630 Epoch: [37] [ 540/5278] eta: 3:53:49 lr: 4.709089932495745e-06 loss: 0.0300 (0.0349) loss_seg: 0.0298 (0.0346) loss_lansim: 0.0236 (0.0240) loss_contra: 0.0001 (0.0010) time: 2.7532 data: 0.0059 max mem: 31630 Epoch: [37] [ 550/5278] eta: 3:53:00 lr: 4.706318521040488e-06 loss: 0.0304 (0.0349) loss_seg: 0.0301 (0.0347) loss_lansim: 0.0234 (0.0239) loss_contra: 0.0001 (0.0010) time: 2.7430 data: 0.0059 max mem: 31630 Epoch: [37] [ 560/5278] eta: 3:52:09 lr: 4.7035469282398e-06 loss: 0.0312 (0.0350) loss_seg: 0.0309 (0.0347) loss_lansim: 0.0234 (0.0240) loss_contra: 0.0001 (0.0010) time: 2.7324 data: 0.0059 max mem: 31630 Epoch: [37] [ 570/5278] eta: 3:51:19 lr: 4.700775153963053e-06 loss: 0.0320 (0.0350) loss_seg: 0.0315 (0.0348) loss_lansim: 0.0231 (0.0240) loss_contra: 0.0001 (0.0010) time: 2.7259 data: 0.0059 max mem: 31630 Epoch: [37] [ 580/5278] eta: 3:50:25 lr: 4.698003198079459e-06 loss: 0.0315 (0.0350) loss_seg: 0.0313 (0.0347) loss_lansim: 0.0229 (0.0239) loss_contra: 0.0001 (0.0010) time: 2.7171 data: 0.0059 max mem: 31630 Epoch: [37] [ 590/5278] eta: 3:49:33 lr: 4.695231060458047e-06 loss: 0.0315 (0.0350) loss_seg: 0.0313 (0.0348) loss_lansim: 0.0227 (0.0239) loss_contra: 0.0001 (0.0010) time: 2.7110 data: 0.0059 max mem: 31630 Epoch: [37] [ 600/5278] eta: 3:48:41 lr: 4.692458740967668e-06 loss: 0.0329 (0.0350) loss_seg: 0.0327 (0.0348) loss_lansim: 0.0228 (0.0239) loss_contra: 0.0001 (0.0010) time: 2.7040 data: 0.0059 max mem: 31630 Epoch: [37] [ 610/5278] eta: 3:47:50 lr: 4.689686239476973e-06 loss: 0.0336 (0.0350) loss_seg: 0.0334 (0.0347) loss_lansim: 0.0229 (0.0239) loss_contra: 0.0001 (0.0010) time: 2.6958 data: 0.0060 max mem: 31630 Epoch: [37] [ 620/5278] eta: 3:46:59 lr: 4.686913555854454e-06 loss: 0.0342 (0.0350) loss_seg: 0.0340 (0.0347) loss_lansim: 0.0231 (0.0239) loss_contra: 0.0001 (0.0010) time: 2.6858 data: 0.0059 max mem: 31630 Epoch: [37] [ 630/5278] eta: 3:46:10 lr: 4.684140689968412e-06 loss: 0.0341 (0.0349) loss_seg: 0.0338 (0.0347) loss_lansim: 0.0231 (0.0239) loss_contra: 0.0001 (0.0011) time: 2.6774 data: 0.0060 max mem: 31630 Epoch: [37] [ 640/5278] eta: 3:45:21 lr: 4.6813676416869696e-06 loss: 0.0347 (0.0350) loss_seg: 0.0345 (0.0347) loss_lansim: 0.0231 (0.0239) loss_contra: 0.0001 (0.0011) time: 2.6683 data: 0.0059 max mem: 31630 Epoch: [37] [ 650/5278] eta: 3:44:33 lr: 4.67859441087807e-06 loss: 0.0342 (0.0350) loss_seg: 0.0340 (0.0347) loss_lansim: 0.0232 (0.0239) loss_contra: 0.0001 (0.0011) time: 2.6599 data: 0.0058 max mem: 31630 Epoch: [37] [ 660/5278] eta: 3:43:45 lr: 4.675820997409455e-06 loss: 0.0339 (0.0350) loss_seg: 0.0337 (0.0347) loss_lansim: 0.0231 (0.0239) loss_contra: 0.0001 (0.0011) time: 2.6546 data: 0.0058 max mem: 31630 Epoch: [37] [ 670/5278] eta: 3:42:58 lr: 4.6730474011487046e-06 loss: 0.0333 (0.0349) loss_seg: 0.0331 (0.0346) loss_lansim: 0.0229 (0.0239) loss_contra: 0.0001 (0.0010) time: 2.6487 data: 0.0058 max mem: 31630 Epoch: [37] [ 680/5278] eta: 3:42:12 lr: 4.670273621963208e-06 loss: 0.0339 (0.0349) loss_seg: 0.0336 (0.0347) loss_lansim: 0.0232 (0.0239) loss_contra: 0.0001 (0.0010) time: 2.6487 data: 0.0059 max mem: 31630 Epoch: [37] [ 690/5278] eta: 3:41:27 lr: 4.667499659720176e-06 loss: 0.0340 (0.0350) loss_seg: 0.0337 (0.0347) loss_lansim: 0.0231 (0.0239) loss_contra: 0.0001 (0.0010) time: 2.6490 data: 0.0059 max mem: 31630 Epoch: [37] [ 700/5278] eta: 3:40:42 lr: 4.664725514286617e-06 loss: 0.0339 (0.0350) loss_seg: 0.0337 (0.0347) loss_lansim: 0.0234 (0.0239) loss_contra: 0.0001 (0.0010) time: 2.6492 data: 0.0059 max mem: 31630 Epoch: [37] [ 710/5278] eta: 3:39:58 lr: 4.661951185529374e-06 loss: 0.0339 (0.0350) loss_seg: 0.0337 (0.0348) loss_lansim: 0.0230 (0.0239) loss_contra: 0.0001 (0.0010) time: 2.6496 data: 0.0059 max mem: 31630 Epoch: [37] [ 720/5278] eta: 3:39:14 lr: 4.6591766733151e-06 loss: 0.0339 (0.0350) loss_seg: 0.0336 (0.0347) loss_lansim: 0.0230 (0.0239) loss_contra: 0.0001 (0.0010) time: 2.6497 data: 0.0059 max mem: 31630 Epoch: [37] [ 730/5278] eta: 3:38:44 lr: 4.656401977510266e-06 loss: 0.0342 (0.0350) loss_seg: 0.0340 (0.0348) loss_lansim: 0.0229 (0.0239) loss_contra: 0.0001 (0.0010) time: 2.6724 data: 0.0059 max mem: 31630 Epoch: [37] [ 740/5278] eta: 3:38:21 lr: 4.6536270979811404e-06 loss: 0.0342 (0.0351) loss_seg: 0.0340 (0.0349) loss_lansim: 0.0229 (0.0238) loss_contra: 0.0001 (0.0010) time: 2.7054 data: 0.0095 max mem: 31630 Epoch: [37] [ 750/5278] eta: 3:40:46 lr: 4.650852034593824e-06 loss: 0.0345 (0.0351) loss_seg: 0.0342 (0.0349) loss_lansim: 0.0231 (0.0239) loss_contra: 0.0001 (0.0010) time: 3.0166 data: 0.0096 max mem: 31630 Epoch: [37] [ 760/5278] eta: 3:40:00 lr: 4.648076787214226e-06 loss: 0.0340 (0.0350) loss_seg: 0.0338 (0.0348) loss_lansim: 0.0231 (0.0238) loss_contra: 0.0001 (0.0010) time: 3.0167 data: 0.0095 max mem: 31630 Epoch: [37] [ 770/5278] eta: 3:39:52 lr: 4.645301355708072e-06 loss: 0.0342 (0.0350) loss_seg: 0.0340 (0.0348) loss_lansim: 0.0231 (0.0238) loss_contra: 0.0001 (0.0010) time: 3.0819 data: 0.0095 max mem: 31630 Epoch: [37] [ 780/5278] eta: 3:39:31 lr: 4.642525739940886e-06 loss: 0.0342 (0.0350) loss_seg: 0.0340 (0.0348) loss_lansim: 0.0231 (0.0238) loss_contra: 0.0001 (0.0010) time: 3.1227 data: 0.0096 max mem: 31630 Epoch: [37] [ 790/5278] eta: 3:39:34 lr: 4.639749939778019e-06 loss: 0.0340 (0.0350) loss_seg: 0.0337 (0.0347) loss_lansim: 0.0231 (0.0238) loss_contra: 0.0001 (0.0010) time: 3.2076 data: 0.0097 max mem: 31630 Epoch: [37] [ 800/5278] eta: 3:38:48 lr: 4.636973955084629e-06 loss: 0.0336 (0.0349) loss_seg: 0.0333 (0.0347) loss_lansim: 0.0229 (0.0238) loss_contra: 0.0001 (0.0010) time: 3.2065 data: 0.0096 max mem: 31630 Epoch: [37] [ 810/5278] eta: 3:38:03 lr: 4.634197785725696e-06 loss: 0.0336 (0.0349) loss_seg: 0.0333 (0.0347) loss_lansim: 0.0231 (0.0238) loss_contra: 0.0001 (0.0010) time: 3.2054 data: 0.0095 max mem: 31630 Epoch: [37] [ 820/5278] eta: 3:37:18 lr: 4.631421431565984e-06 loss: 0.0327 (0.0349) loss_seg: 0.0325 (0.0346) loss_lansim: 0.0232 (0.0238) loss_contra: 0.0001 (0.0010) time: 3.2045 data: 0.0095 max mem: 31630 Epoch: [37] [ 830/5278] eta: 3:36:33 lr: 4.628644892470095e-06 loss: 0.0327 (0.0349) loss_seg: 0.0325 (0.0346) loss_lansim: 0.0231 (0.0238) loss_contra: 0.0001 (0.0010) time: 3.1804 data: 0.0094 max mem: 31630 Epoch: [37] [ 840/5278] eta: 3:35:49 lr: 4.6258681683024295e-06 loss: 0.0330 (0.0349) loss_seg: 0.0328 (0.0347) loss_lansim: 0.0229 (0.0238) loss_contra: 0.0001 (0.0010) time: 3.1463 data: 0.0057 max mem: 31630 Epoch: [37] [ 850/5278] eta: 3:35:05 lr: 4.623091258927208e-06 loss: 0.0327 (0.0349) loss_seg: 0.0325 (0.0347) loss_lansim: 0.0225 (0.0237) loss_contra: 0.0001 (0.0010) time: 2.8341 data: 0.0057 max mem: 31630 Epoch: [37] [ 860/5278] eta: 3:34:22 lr: 4.620314164208441e-06 loss: 0.0331 (0.0349) loss_seg: 0.0328 (0.0347) loss_lansim: 0.0227 (0.0237) loss_contra: 0.0001 (0.0010) time: 2.8336 data: 0.0057 max mem: 31630 Epoch: [37] [ 870/5278] eta: 3:33:39 lr: 4.617536884009964e-06 loss: 0.0330 (0.0349) loss_seg: 0.0328 (0.0347) loss_lansim: 0.0225 (0.0237) loss_contra: 0.0001 (0.0010) time: 2.7677 data: 0.0056 max mem: 31630 Epoch: [37] [ 880/5278] eta: 3:32:57 lr: 4.614759418195421e-06 loss: 0.0330 (0.0350) loss_seg: 0.0328 (0.0347) loss_lansim: 0.0225 (0.0237) loss_contra: 0.0001 (0.0009) time: 2.7254 data: 0.0054 max mem: 31630 Epoch: [37] [ 890/5278] eta: 3:32:15 lr: 4.611981766628259e-06 loss: 0.0332 (0.0350) loss_seg: 0.0330 (0.0347) loss_lansim: 0.0224 (0.0237) loss_contra: 0.0001 (0.0009) time: 2.6392 data: 0.0053 max mem: 31630 Epoch: [37] [ 900/5278] eta: 3:31:33 lr: 4.609203929171741e-06 loss: 0.0336 (0.0350) loss_seg: 0.0333 (0.0347) loss_lansim: 0.0225 (0.0237) loss_contra: 0.0001 (0.0010) time: 2.6396 data: 0.0054 max mem: 31630 Epoch: [37] [ 910/5278] eta: 3:30:52 lr: 4.60642590568892e-06 loss: 0.0336 (0.0350) loss_seg: 0.0334 (0.0348) loss_lansim: 0.0226 (0.0237) loss_contra: 0.0001 (0.0009) time: 2.6395 data: 0.0054 max mem: 31630 Epoch: [37] [ 920/5278] eta: 3:30:10 lr: 4.603647696042676e-06 loss: 0.0336 (0.0350) loss_seg: 0.0334 (0.0347) loss_lansim: 0.0225 (0.0237) loss_contra: 0.0001 (0.0010) time: 2.6393 data: 0.0054 max mem: 31630 Epoch: [37] [ 930/5278] eta: 3:29:30 lr: 4.600869300095685e-06 loss: 0.0335 (0.0350) loss_seg: 0.0331 (0.0347) loss_lansim: 0.0226 (0.0237) loss_contra: 0.0001 (0.0010) time: 2.6393 data: 0.0054 max mem: 31630 Epoch: [37] [ 940/5278] eta: 3:28:49 lr: 4.5980907177104414e-06 loss: 0.0331 (0.0349) loss_seg: 0.0328 (0.0347) loss_lansim: 0.0226 (0.0237) loss_contra: 0.0001 (0.0010) time: 2.6394 data: 0.0054 max mem: 31630 Epoch: [37] [ 950/5278] eta: 3:28:09 lr: 4.595311948749224e-06 loss: 0.0331 (0.0350) loss_seg: 0.0328 (0.0347) loss_lansim: 0.0226 (0.0237) loss_contra: 0.0001 (0.0010) time: 2.6396 data: 0.0054 max mem: 31630 Epoch: [37] [ 960/5278] eta: 3:27:29 lr: 4.592532993074135e-06 loss: 0.0332 (0.0350) loss_seg: 0.0330 (0.0348) loss_lansim: 0.0226 (0.0237) loss_contra: 0.0001 (0.0010) time: 2.6400 data: 0.0055 max mem: 31630 Epoch: [37] [ 970/5278] eta: 3:26:50 lr: 4.589753850547079e-06 loss: 0.0336 (0.0351) loss_seg: 0.0334 (0.0349) loss_lansim: 0.0228 (0.0237) loss_contra: 0.0001 (0.0010) time: 2.6408 data: 0.0055 max mem: 31630 Epoch: [37] [ 980/5278] eta: 3:26:11 lr: 4.586974521029768e-06 loss: 0.0339 (0.0351) loss_seg: 0.0337 (0.0348) loss_lansim: 0.0228 (0.0237) loss_contra: 0.0001 (0.0010) time: 2.6413 data: 0.0055 max mem: 31630 Epoch: [37] [ 990/5278] eta: 3:25:32 lr: 4.584195004383703e-06 loss: 0.0335 (0.0350) loss_seg: 0.0331 (0.0348) loss_lansim: 0.0229 (0.0237) loss_contra: 0.0001 (0.0009) time: 2.6418 data: 0.0055 max mem: 31630 Epoch: [37] [1000/5278] eta: 3:24:53 lr: 4.581415300470204e-06 loss: 0.0340 (0.0351) loss_seg: 0.0338 (0.0348) loss_lansim: 0.0229 (0.0237) loss_contra: 0.0001 (0.0009) time: 2.6423 data: 0.0055 max mem: 31630 Epoch: [37] [1010/5278] eta: 3:24:15 lr: 4.578635409150394e-06 loss: 0.0333 (0.0351) loss_seg: 0.0331 (0.0348) loss_lansim: 0.0229 (0.0236) loss_contra: 0.0001 (0.0009) time: 2.6430 data: 0.0054 max mem: 31630 Epoch: [37] [1020/5278] eta: 3:23:37 lr: 4.5758553302851994e-06 loss: 0.0334 (0.0351) loss_seg: 0.0331 (0.0348) loss_lansim: 0.0229 (0.0237) loss_contra: 0.0001 (0.0009) time: 2.6436 data: 0.0054 max mem: 31630 Epoch: [37] [1030/5278] eta: 3:22:59 lr: 4.573075063735336e-06 loss: 0.0343 (0.0351) loss_seg: 0.0340 (0.0349) loss_lansim: 0.0225 (0.0236) loss_contra: 0.0001 (0.0010) time: 2.6439 data: 0.0054 max mem: 31630 Epoch: [37] [1040/5278] eta: 3:22:21 lr: 4.570294609361335e-06 loss: 0.0338 (0.0351) loss_seg: 0.0335 (0.0348) loss_lansim: 0.0227 (0.0236) loss_contra: 0.0001 (0.0010) time: 2.6444 data: 0.0054 max mem: 31630 Epoch: [37] [1050/5278] eta: 3:21:43 lr: 4.567513967023529e-06 loss: 0.0334 (0.0350) loss_seg: 0.0331 (0.0348) loss_lansim: 0.0229 (0.0236) loss_contra: 0.0001 (0.0010) time: 2.6448 data: 0.0054 max mem: 31630 Epoch: [37] [1060/5278] eta: 3:21:06 lr: 4.564733136582055e-06 loss: 0.0335 (0.0351) loss_seg: 0.0333 (0.0348) loss_lansim: 0.0228 (0.0236) loss_contra: 0.0001 (0.0010) time: 2.6447 data: 0.0054 max mem: 31630 Epoch: [37] [1070/5278] eta: 3:20:29 lr: 4.561952117896835e-06 loss: 0.0335 (0.0351) loss_seg: 0.0333 (0.0349) loss_lansim: 0.0228 (0.0236) loss_contra: 0.0001 (0.0010) time: 2.6443 data: 0.0054 max mem: 31630 Epoch: [37] [1080/5278] eta: 3:19:52 lr: 4.559170910827606e-06 loss: 0.0333 (0.0351) loss_seg: 0.0331 (0.0349) loss_lansim: 0.0228 (0.0236) loss_contra: 0.0002 (0.0010) time: 2.6446 data: 0.0054 max mem: 31630 Epoch: [37] [1090/5278] eta: 3:19:15 lr: 4.556389515233905e-06 loss: 0.0334 (0.0351) loss_seg: 0.0331 (0.0348) loss_lansim: 0.0232 (0.0236) loss_contra: 0.0002 (0.0010) time: 2.6446 data: 0.0054 max mem: 31630 Epoch: [37] [1100/5278] eta: 3:18:39 lr: 4.553607930975071e-06 loss: 0.0327 (0.0351) loss_seg: 0.0325 (0.0348) loss_lansim: 0.0228 (0.0236) loss_contra: 0.0001 (0.0010) time: 2.6443 data: 0.0054 max mem: 31630 Epoch: [37] [1110/5278] eta: 3:18:02 lr: 4.550826157910225e-06 loss: 0.0325 (0.0350) loss_seg: 0.0323 (0.0348) loss_lansim: 0.0225 (0.0236) loss_contra: 0.0001 (0.0010) time: 2.6443 data: 0.0054 max mem: 31630 Epoch: [37] [1120/5278] eta: 3:17:26 lr: 4.5480441958983045e-06 loss: 0.0324 (0.0351) loss_seg: 0.0321 (0.0348) loss_lansim: 0.0224 (0.0236) loss_contra: 0.0001 (0.0010) time: 2.6445 data: 0.0054 max mem: 31630 Epoch: [37] [1130/5278] eta: 3:16:50 lr: 4.545262044798042e-06 loss: 0.0323 (0.0351) loss_seg: 0.0320 (0.0349) loss_lansim: 0.0225 (0.0236) loss_contra: 0.0001 (0.0010) time: 2.6443 data: 0.0054 max mem: 31630 Epoch: [37] [1140/5278] eta: 3:16:14 lr: 4.542479704467966e-06 loss: 0.0325 (0.0351) loss_seg: 0.0323 (0.0349) loss_lansim: 0.0224 (0.0236) loss_contra: 0.0001 (0.0010) time: 2.6446 data: 0.0053 max mem: 31630 Epoch: [37] [1150/5278] eta: 3:15:39 lr: 4.539697174766412e-06 loss: 0.0326 (0.0350) loss_seg: 0.0325 (0.0348) loss_lansim: 0.0222 (0.0236) loss_contra: 0.0001 (0.0010) time: 2.6443 data: 0.0053 max mem: 31630 Epoch: [37] [1160/5278] eta: 3:15:03 lr: 4.53691445555149e-06 loss: 0.0324 (0.0350) loss_seg: 0.0321 (0.0348) loss_lansim: 0.0224 (0.0236) loss_contra: 0.0001 (0.0010) time: 2.6442 data: 0.0053 max mem: 31630 Epoch: [37] [1170/5278] eta: 3:14:28 lr: 4.534131546681128e-06 loss: 0.0325 (0.0351) loss_seg: 0.0323 (0.0348) loss_lansim: 0.0223 (0.0236) loss_contra: 0.0001 (0.0010) time: 2.6443 data: 0.0053 max mem: 31630 Epoch: [37] [1180/5278] eta: 3:13:53 lr: 4.531348448013045e-06 loss: 0.0325 (0.0351) loss_seg: 0.0323 (0.0348) loss_lansim: 0.0222 (0.0235) loss_contra: 0.0001 (0.0009) time: 2.6442 data: 0.0053 max mem: 31630 Epoch: [37] [1190/5278] eta: 3:13:18 lr: 4.5285651594047594e-06 loss: 0.0325 (0.0350) loss_seg: 0.0323 (0.0348) loss_lansim: 0.0222 (0.0236) loss_contra: 0.0001 (0.0009) time: 2.6443 data: 0.0053 max mem: 31630 Epoch: [37] [1200/5278] eta: 3:12:43 lr: 4.525781680713569e-06 loss: 0.0326 (0.0350) loss_seg: 0.0324 (0.0348) loss_lansim: 0.0223 (0.0236) loss_contra: 0.0001 (0.0009) time: 2.6442 data: 0.0053 max mem: 31630 Epoch: [37] [1210/5278] eta: 3:12:08 lr: 4.522998011796587e-06 loss: 0.0328 (0.0350) loss_seg: 0.0326 (0.0348) loss_lansim: 0.0224 (0.0236) loss_contra: 0.0001 (0.0009) time: 2.6442 data: 0.0053 max mem: 31630 Epoch: [37] [1220/5278] eta: 3:11:33 lr: 4.520214152510711e-06 loss: 0.0342 (0.0350) loss_seg: 0.0339 (0.0348) loss_lansim: 0.0224 (0.0236) loss_contra: 0.0001 (0.0010) time: 2.6441 data: 0.0053 max mem: 31630 Epoch: [37] [1230/5278] eta: 3:10:59 lr: 4.517430102712642e-06 loss: 0.0333 (0.0350) loss_seg: 0.0331 (0.0347) loss_lansim: 0.0224 (0.0235) loss_contra: 0.0001 (0.0010) time: 2.6444 data: 0.0053 max mem: 31630 Epoch: [37] [1240/5278] eta: 3:10:24 lr: 4.5146458622588555e-06 loss: 0.0338 (0.0350) loss_seg: 0.0336 (0.0348) loss_lansim: 0.0225 (0.0235) loss_contra: 0.0001 (0.0010) time: 2.6440 data: 0.0053 max mem: 31630 Epoch: [37] [1250/5278] eta: 3:09:50 lr: 4.511861431005639e-06 loss: 0.0350 (0.0350) loss_seg: 0.0347 (0.0348) loss_lansim: 0.0225 (0.0235) loss_contra: 0.0001 (0.0010) time: 2.6433 data: 0.0053 max mem: 31630 Epoch: [37] [1260/5278] eta: 3:09:16 lr: 4.509076808809066e-06 loss: 0.0342 (0.0350) loss_seg: 0.0339 (0.0347) loss_lansim: 0.0223 (0.0235) loss_contra: 0.0001 (0.0010) time: 2.6432 data: 0.0053 max mem: 31630 Epoch: [37] [1270/5278] eta: 3:08:41 lr: 4.506291995525012e-06 loss: 0.0339 (0.0350) loss_seg: 0.0337 (0.0347) loss_lansim: 0.0224 (0.0235) loss_contra: 0.0001 (0.0010) time: 2.6424 data: 0.0053 max mem: 31630 Epoch: [37] [1280/5278] eta: 3:08:07 lr: 4.503506991009122e-06 loss: 0.0342 (0.0350) loss_seg: 0.0339 (0.0347) loss_lansim: 0.0223 (0.0235) loss_contra: 0.0001 (0.0010) time: 2.6416 data: 0.0053 max mem: 31630 Epoch: [37] [1290/5278] eta: 3:07:33 lr: 4.500721795116854e-06 loss: 0.0339 (0.0350) loss_seg: 0.0337 (0.0347) loss_lansim: 0.0223 (0.0235) loss_contra: 0.0001 (0.0010) time: 2.6404 data: 0.0053 max mem: 31630 Epoch: [37] [1300/5278] eta: 3:06:59 lr: 4.49793640770345e-06 loss: 0.0339 (0.0350) loss_seg: 0.0337 (0.0347) loss_lansim: 0.0222 (0.0235) loss_contra: 0.0001 (0.0010) time: 2.6400 data: 0.0053 max mem: 31630 Epoch: [37] [1310/5278] eta: 3:06:26 lr: 4.4951508286239496e-06 loss: 0.0338 (0.0350) loss_seg: 0.0336 (0.0347) loss_lansim: 0.0221 (0.0235) loss_contra: 0.0001 (0.0010) time: 2.6394 data: 0.0053 max mem: 31630 Epoch: [37] [1320/5278] eta: 3:05:52 lr: 4.492365057733161e-06 loss: 0.0339 (0.0350) loss_seg: 0.0337 (0.0348) loss_lansim: 0.0221 (0.0235) loss_contra: 0.0001 (0.0010) time: 2.6383 data: 0.0053 max mem: 31630 Epoch: [37] [1330/5278] eta: 3:05:19 lr: 4.489579094885708e-06 loss: 0.0343 (0.0351) loss_seg: 0.0340 (0.0348) loss_lansim: 0.0222 (0.0235) loss_contra: 0.0001 (0.0010) time: 2.6380 data: 0.0053 max mem: 31630 Epoch: [37] [1340/5278] eta: 3:04:45 lr: 4.486792939935992e-06 loss: 0.0341 (0.0351) loss_seg: 0.0339 (0.0348) loss_lansim: 0.0220 (0.0235) loss_contra: 0.0001 (0.0010) time: 2.6373 data: 0.0053 max mem: 31630 Epoch: [37] [1350/5278] eta: 3:04:11 lr: 4.4840065927382095e-06 loss: 0.0343 (0.0351) loss_seg: 0.0341 (0.0349) loss_lansim: 0.0220 (0.0235) loss_contra: 0.0001 (0.0010) time: 2.6364 data: 0.0053 max mem: 31630 Epoch: [37] [1360/5278] eta: 3:03:37 lr: 4.4812200531463285e-06 loss: 0.0343 (0.0351) loss_seg: 0.0339 (0.0348) loss_lansim: 0.0218 (0.0235) loss_contra: 0.0001 (0.0010) time: 2.6337 data: 0.0053 max mem: 31630 Epoch: [37] [1370/5278] eta: 3:03:04 lr: 4.478433321014125e-06 loss: 0.0343 (0.0351) loss_seg: 0.0340 (0.0348) loss_lansim: 0.0217 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.6312 data: 0.0053 max mem: 31630 Epoch: [37] [1380/5278] eta: 3:02:30 lr: 4.475646396195156e-06 loss: 0.0343 (0.0351) loss_seg: 0.0339 (0.0348) loss_lansim: 0.0219 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.6289 data: 0.0053 max mem: 31630 Epoch: [37] [1390/5278] eta: 3:01:56 lr: 4.4728592785427625e-06 loss: 0.0345 (0.0351) loss_seg: 0.0342 (0.0348) loss_lansim: 0.0222 (0.0235) loss_contra: 0.0001 (0.0010) time: 2.6266 data: 0.0053 max mem: 31630 Epoch: [37] [1400/5278] eta: 3:01:23 lr: 4.470071967910083e-06 loss: 0.0345 (0.0351) loss_seg: 0.0343 (0.0348) loss_lansim: 0.0222 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.6239 data: 0.0053 max mem: 31630 Epoch: [37] [1410/5278] eta: 3:00:49 lr: 4.467284464150019e-06 loss: 0.0351 (0.0351) loss_seg: 0.0348 (0.0349) loss_lansim: 0.0222 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.6212 data: 0.0053 max mem: 31630 Epoch: [37] [1420/5278] eta: 3:00:16 lr: 4.464496767115281e-06 loss: 0.0346 (0.0351) loss_seg: 0.0344 (0.0349) loss_lansim: 0.0222 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.6188 data: 0.0053 max mem: 31630 Epoch: [37] [1430/5278] eta: 2:59:43 lr: 4.461708876658356e-06 loss: 0.0346 (0.0351) loss_seg: 0.0343 (0.0349) loss_lansim: 0.0225 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.6157 data: 0.0053 max mem: 31630 Epoch: [37] [1440/5278] eta: 2:59:10 lr: 4.458920792631523e-06 loss: 0.0346 (0.0351) loss_seg: 0.0344 (0.0349) loss_lansim: 0.0225 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.6151 data: 0.0053 max mem: 31630 Epoch: [37] [1450/5278] eta: 2:58:38 lr: 4.456132514886827e-06 loss: 0.0339 (0.0351) loss_seg: 0.0337 (0.0349) loss_lansim: 0.0225 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.6163 data: 0.0053 max mem: 31630 Epoch: [37] [1460/5278] eta: 2:58:06 lr: 4.453344043276114e-06 loss: 0.0346 (0.0351) loss_seg: 0.0343 (0.0349) loss_lansim: 0.0226 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.6189 data: 0.0053 max mem: 31630 Epoch: [37] [1470/5278] eta: 2:57:34 lr: 4.45055537765101e-06 loss: 0.0340 (0.0352) loss_seg: 0.0337 (0.0349) loss_lansim: 0.0225 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.6218 data: 0.0053 max mem: 31630 Epoch: [37] [1480/5278] eta: 2:57:02 lr: 4.447766517862928e-06 loss: 0.0340 (0.0352) loss_seg: 0.0337 (0.0349) loss_lansim: 0.0225 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.6252 data: 0.0053 max mem: 31630 Epoch: [37] [1490/5278] eta: 2:56:30 lr: 4.4449774637630444e-06 loss: 0.0346 (0.0352) loss_seg: 0.0343 (0.0349) loss_lansim: 0.0222 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.6272 data: 0.0054 max mem: 31630 Epoch: [37] [1500/5278] eta: 2:55:58 lr: 4.442188215202341e-06 loss: 0.0339 (0.0351) loss_seg: 0.0337 (0.0349) loss_lansim: 0.0221 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.6298 data: 0.0055 max mem: 31630 Epoch: [37] [1510/5278] eta: 2:55:26 lr: 4.439398772031568e-06 loss: 0.0336 (0.0351) loss_seg: 0.0334 (0.0349) loss_lansim: 0.0221 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.6323 data: 0.0055 max mem: 31630 Epoch: [37] [1520/5278] eta: 2:54:54 lr: 4.43660913410127e-06 loss: 0.0334 (0.0351) loss_seg: 0.0332 (0.0349) loss_lansim: 0.0225 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.6354 data: 0.0055 max mem: 31630 Epoch: [37] [1530/5278] eta: 2:54:22 lr: 4.433819301261748e-06 loss: 0.0336 (0.0352) loss_seg: 0.0334 (0.0349) loss_lansim: 0.0221 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.6378 data: 0.0055 max mem: 31630 Epoch: [37] [1540/5278] eta: 2:53:51 lr: 4.431029273363105e-06 loss: 0.0328 (0.0351) loss_seg: 0.0326 (0.0349) loss_lansim: 0.0220 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.6389 data: 0.0055 max mem: 31630 Epoch: [37] [1550/5278] eta: 2:53:19 lr: 4.428239050255216e-06 loss: 0.0336 (0.0351) loss_seg: 0.0334 (0.0349) loss_lansim: 0.0220 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.6386 data: 0.0055 max mem: 31630 Epoch: [37] [1560/5278] eta: 2:52:48 lr: 4.425448631787745e-06 loss: 0.0328 (0.0351) loss_seg: 0.0326 (0.0349) loss_lansim: 0.0221 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.6387 data: 0.0055 max mem: 31630 Epoch: [37] [1570/5278] eta: 2:52:16 lr: 4.4226580178101104e-06 loss: 0.0328 (0.0351) loss_seg: 0.0326 (0.0349) loss_lansim: 0.0221 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.6382 data: 0.0055 max mem: 31630 Epoch: [37] [1580/5278] eta: 2:51:45 lr: 4.419867208171532e-06 loss: 0.0319 (0.0351) loss_seg: 0.0317 (0.0348) loss_lansim: 0.0224 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.6373 data: 0.0055 max mem: 31630 Epoch: [37] [1590/5278] eta: 2:51:13 lr: 4.417076202720999e-06 loss: 0.0323 (0.0351) loss_seg: 0.0321 (0.0348) loss_lansim: 0.0225 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.6376 data: 0.0055 max mem: 31630 Epoch: [37] [1600/5278] eta: 2:50:42 lr: 4.414285001307285e-06 loss: 0.0325 (0.0351) loss_seg: 0.0323 (0.0348) loss_lansim: 0.0228 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.6373 data: 0.0054 max mem: 31630 Epoch: [37] [1610/5278] eta: 2:50:11 lr: 4.411493603778923e-06 loss: 0.0325 (0.0351) loss_seg: 0.0323 (0.0349) loss_lansim: 0.0227 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.6368 data: 0.0054 max mem: 31630 Epoch: [37] [1620/5278] eta: 2:49:40 lr: 4.408702009984238e-06 loss: 0.0326 (0.0351) loss_seg: 0.0323 (0.0349) loss_lansim: 0.0225 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.6362 data: 0.0054 max mem: 31630 Epoch: [37] [1630/5278] eta: 2:49:09 lr: 4.405910219771326e-06 loss: 0.0322 (0.0351) loss_seg: 0.0320 (0.0349) loss_lansim: 0.0225 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.6368 data: 0.0054 max mem: 31630 Epoch: [37] [1640/5278] eta: 2:48:38 lr: 4.403118232988062e-06 loss: 0.0326 (0.0351) loss_seg: 0.0323 (0.0349) loss_lansim: 0.0228 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.6363 data: 0.0054 max mem: 31630 Epoch: [37] [1650/5278] eta: 2:48:07 lr: 4.4003260494820956e-06 loss: 0.0325 (0.0351) loss_seg: 0.0323 (0.0349) loss_lansim: 0.0229 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.6362 data: 0.0054 max mem: 31630 Epoch: [37] [1660/5278] eta: 2:47:36 lr: 4.397533669100837e-06 loss: 0.0326 (0.0351) loss_seg: 0.0323 (0.0349) loss_lansim: 0.0230 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.6359 data: 0.0054 max mem: 31630 Epoch: [37] [1670/5278] eta: 2:47:05 lr: 4.394741091691487e-06 loss: 0.0326 (0.0351) loss_seg: 0.0324 (0.0349) loss_lansim: 0.0230 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.6361 data: 0.0054 max mem: 31630 Epoch: [37] [1680/5278] eta: 2:46:34 lr: 4.391948317101014e-06 loss: 0.0337 (0.0351) loss_seg: 0.0335 (0.0349) loss_lansim: 0.0230 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.6360 data: 0.0054 max mem: 31630 Epoch: [37] [1690/5278] eta: 2:46:03 lr: 4.389155345176166e-06 loss: 0.0340 (0.0351) loss_seg: 0.0337 (0.0349) loss_lansim: 0.0228 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.6361 data: 0.0054 max mem: 31630 Epoch: [37] [1700/5278] eta: 2:45:32 lr: 4.386362175763445e-06 loss: 0.0334 (0.0351) loss_seg: 0.0332 (0.0349) loss_lansim: 0.0226 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.6366 data: 0.0054 max mem: 31630 Epoch: [37] [1710/5278] eta: 2:45:02 lr: 4.383568808709141e-06 loss: 0.0334 (0.0351) loss_seg: 0.0332 (0.0349) loss_lansim: 0.0226 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.6369 data: 0.0054 max mem: 31630 Epoch: [37] [1720/5278] eta: 2:44:31 lr: 4.380775243859313e-06 loss: 0.0333 (0.0351) loss_seg: 0.0330 (0.0349) loss_lansim: 0.0226 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.6369 data: 0.0053 max mem: 31630 Epoch: [37] [1730/5278] eta: 2:44:01 lr: 4.377981481059794e-06 loss: 0.0334 (0.0351) loss_seg: 0.0331 (0.0349) loss_lansim: 0.0226 (0.0233) loss_contra: 0.0001 (0.0010) time: 2.6374 data: 0.0054 max mem: 31630 Epoch: [37] [1740/5278] eta: 2:43:30 lr: 4.3751875201561705e-06 loss: 0.0333 (0.0351) loss_seg: 0.0331 (0.0349) loss_lansim: 0.0226 (0.0233) loss_contra: 0.0001 (0.0010) time: 2.6386 data: 0.0054 max mem: 31630 Epoch: [37] [1750/5278] eta: 2:43:00 lr: 4.372393360993818e-06 loss: 0.0332 (0.0351) loss_seg: 0.0330 (0.0349) loss_lansim: 0.0226 (0.0233) loss_contra: 0.0001 (0.0010) time: 2.6402 data: 0.0055 max mem: 31630 Epoch: [37] [1760/5278] eta: 2:42:30 lr: 4.369599003417873e-06 loss: 0.0332 (0.0351) loss_seg: 0.0330 (0.0349) loss_lansim: 0.0226 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.6415 data: 0.0055 max mem: 31630 Epoch: [37] [1770/5278] eta: 2:42:00 lr: 4.3668044472732494e-06 loss: 0.0332 (0.0351) loss_seg: 0.0330 (0.0349) loss_lansim: 0.0227 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.6421 data: 0.0055 max mem: 31630 Epoch: [37] [1780/5278] eta: 2:41:30 lr: 4.36400969240461e-06 loss: 0.0327 (0.0351) loss_seg: 0.0325 (0.0349) loss_lansim: 0.0226 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.6433 data: 0.0055 max mem: 31630 Epoch: [37] [1790/5278] eta: 2:41:00 lr: 4.361214738656402e-06 loss: 0.0327 (0.0351) loss_seg: 0.0325 (0.0348) loss_lansim: 0.0225 (0.0233) loss_contra: 0.0001 (0.0010) time: 2.6442 data: 0.0055 max mem: 31630 Epoch: [37] [1800/5278] eta: 2:40:30 lr: 4.3584195858728385e-06 loss: 0.0321 (0.0351) loss_seg: 0.0319 (0.0348) loss_lansim: 0.0226 (0.0233) loss_contra: 0.0001 (0.0010) time: 2.6450 data: 0.0055 max mem: 31630 Epoch: [37] [1810/5278] eta: 2:39:59 lr: 4.355624233897902e-06 loss: 0.0325 (0.0351) loss_seg: 0.0323 (0.0348) loss_lansim: 0.0226 (0.0233) loss_contra: 0.0001 (0.0010) time: 2.6457 data: 0.0055 max mem: 31630 Epoch: [37] [1820/5278] eta: 2:39:29 lr: 4.352828682575323e-06 loss: 0.0330 (0.0351) loss_seg: 0.0328 (0.0348) loss_lansim: 0.0226 (0.0233) loss_contra: 0.0001 (0.0010) time: 2.6466 data: 0.0055 max mem: 31630 Epoch: [37] [1830/5278] eta: 2:38:59 lr: 4.350032931748618e-06 loss: 0.0327 (0.0351) loss_seg: 0.0325 (0.0348) loss_lansim: 0.0226 (0.0233) loss_contra: 0.0001 (0.0010) time: 2.6467 data: 0.0055 max mem: 31630 Epoch: [37] [1840/5278] eta: 2:38:30 lr: 4.347236981261061e-06 loss: 0.0326 (0.0350) loss_seg: 0.0323 (0.0348) loss_lansim: 0.0224 (0.0233) loss_contra: 0.0001 (0.0010) time: 2.6467 data: 0.0054 max mem: 31630 Epoch: [37] [1850/5278] eta: 2:38:00 lr: 4.344440830955692e-06 loss: 0.0330 (0.0350) loss_seg: 0.0328 (0.0348) loss_lansim: 0.0224 (0.0233) loss_contra: 0.0001 (0.0010) time: 2.6462 data: 0.0054 max mem: 31630 Epoch: [37] [1860/5278] eta: 2:37:30 lr: 4.341644480675322e-06 loss: 0.0336 (0.0351) loss_seg: 0.0334 (0.0348) loss_lansim: 0.0222 (0.0233) loss_contra: 0.0001 (0.0010) time: 2.6456 data: 0.0054 max mem: 31630 Epoch: [37] [1870/5278] eta: 2:37:00 lr: 4.338847930262504e-06 loss: 0.0336 (0.0351) loss_seg: 0.0334 (0.0348) loss_lansim: 0.0222 (0.0233) loss_contra: 0.0001 (0.0010) time: 2.6455 data: 0.0054 max mem: 31630 Epoch: [37] [1880/5278] eta: 2:36:30 lr: 4.336051179559575e-06 loss: 0.0335 (0.0350) loss_seg: 0.0333 (0.0348) loss_lansim: 0.0225 (0.0233) loss_contra: 0.0001 (0.0010) time: 2.6454 data: 0.0054 max mem: 31630 Epoch: [37] [1890/5278] eta: 2:36:00 lr: 4.333254228408631e-06 loss: 0.0340 (0.0351) loss_seg: 0.0338 (0.0348) loss_lansim: 0.0228 (0.0233) loss_contra: 0.0001 (0.0010) time: 2.6453 data: 0.0054 max mem: 31630 Epoch: [37] [1900/5278] eta: 2:35:31 lr: 4.330457076651531e-06 loss: 0.0345 (0.0351) loss_seg: 0.0343 (0.0348) loss_lansim: 0.0229 (0.0233) loss_contra: 0.0001 (0.0010) time: 2.6454 data: 0.0054 max mem: 31630 Epoch: [37] [1910/5278] eta: 2:35:01 lr: 4.327659724129881e-06 loss: 0.0350 (0.0351) loss_seg: 0.0347 (0.0348) loss_lansim: 0.0228 (0.0233) loss_contra: 0.0001 (0.0010) time: 2.6451 data: 0.0054 max mem: 31630 Epoch: [37] [1920/5278] eta: 2:34:31 lr: 4.3248621706850655e-06 loss: 0.0350 (0.0351) loss_seg: 0.0347 (0.0349) loss_lansim: 0.0230 (0.0233) loss_contra: 0.0001 (0.0010) time: 2.6442 data: 0.0054 max mem: 31630 Epoch: [37] [1930/5278] eta: 2:34:01 lr: 4.322064416158223e-06 loss: 0.0348 (0.0351) loss_seg: 0.0345 (0.0349) loss_lansim: 0.0229 (0.0233) loss_contra: 0.0001 (0.0010) time: 2.6437 data: 0.0054 max mem: 31630 Epoch: [37] [1940/5278] eta: 2:33:32 lr: 4.31926646039026e-06 loss: 0.0350 (0.0351) loss_seg: 0.0347 (0.0349) loss_lansim: 0.0230 (0.0233) loss_contra: 0.0001 (0.0010) time: 2.6432 data: 0.0055 max mem: 31630 Epoch: [37] [1950/5278] eta: 2:33:02 lr: 4.31646830322182e-06 loss: 0.0352 (0.0351) loss_seg: 0.0348 (0.0349) loss_lansim: 0.0229 (0.0233) loss_contra: 0.0001 (0.0010) time: 2.6426 data: 0.0055 max mem: 31630 Epoch: [37] [1960/5278] eta: 2:32:33 lr: 4.313669944493329e-06 loss: 0.0353 (0.0351) loss_seg: 0.0350 (0.0349) loss_lansim: 0.0229 (0.0233) loss_contra: 0.0001 (0.0010) time: 2.6425 data: 0.0056 max mem: 31630 Epoch: [37] [1970/5278] eta: 2:32:03 lr: 4.310871384044961e-06 loss: 0.0358 (0.0352) loss_seg: 0.0356 (0.0349) loss_lansim: 0.0227 (0.0233) loss_contra: 0.0001 (0.0010) time: 2.6420 data: 0.0056 max mem: 31630 Epoch: [37] [1980/5278] eta: 2:31:33 lr: 4.3080726217166585e-06 loss: 0.0363 (0.0352) loss_seg: 0.0361 (0.0349) loss_lansim: 0.0226 (0.0233) loss_contra: 0.0001 (0.0009) time: 2.6412 data: 0.0056 max mem: 31630 Epoch: [37] [1990/5278] eta: 2:31:04 lr: 4.305273657348096e-06 loss: 0.0364 (0.0352) loss_seg: 0.0362 (0.0350) loss_lansim: 0.0225 (0.0233) loss_contra: 0.0001 (0.0009) time: 2.6401 data: 0.0056 max mem: 31630 Epoch: [37] [2000/5278] eta: 2:30:34 lr: 4.302474490778732e-06 loss: 0.0372 (0.0352) loss_seg: 0.0370 (0.0350) loss_lansim: 0.0225 (0.0233) loss_contra: 0.0001 (0.0009) time: 2.6392 data: 0.0056 max mem: 31630 Epoch: [37] [2010/5278] eta: 2:30:05 lr: 4.299675121847768e-06 loss: 0.0352 (0.0352) loss_seg: 0.0348 (0.0350) loss_lansim: 0.0225 (0.0233) loss_contra: 0.0001 (0.0009) time: 2.6391 data: 0.0055 max mem: 31630 Epoch: [37] [2020/5278] eta: 2:29:35 lr: 4.29687555039417e-06 loss: 0.0347 (0.0352) loss_seg: 0.0345 (0.0349) loss_lansim: 0.0226 (0.0233) loss_contra: 0.0001 (0.0009) time: 2.6394 data: 0.0055 max mem: 31630 Epoch: [37] [2030/5278] eta: 2:29:06 lr: 4.294075776256642e-06 loss: 0.0347 (0.0352) loss_seg: 0.0345 (0.0349) loss_lansim: 0.0227 (0.0233) loss_contra: 0.0001 (0.0009) time: 2.6394 data: 0.0055 max mem: 31630 Epoch: [37] [2040/5278] eta: 2:28:37 lr: 4.291275799273658e-06 loss: 0.0352 (0.0352) loss_seg: 0.0348 (0.0349) loss_lansim: 0.0227 (0.0233) loss_contra: 0.0001 (0.0009) time: 2.6393 data: 0.0055 max mem: 31630 Epoch: [37] [2050/5278] eta: 2:28:07 lr: 4.288475619283444e-06 loss: 0.0339 (0.0351) loss_seg: 0.0336 (0.0349) loss_lansim: 0.0226 (0.0233) loss_contra: 0.0001 (0.0009) time: 2.6394 data: 0.0054 max mem: 31630 Epoch: [37] [2060/5278] eta: 2:27:38 lr: 4.28567523612398e-06 loss: 0.0333 (0.0351) loss_seg: 0.0330 (0.0349) loss_lansim: 0.0228 (0.0233) loss_contra: 0.0001 (0.0009) time: 2.6388 data: 0.0054 max mem: 31630 Epoch: [37] [2070/5278] eta: 2:27:09 lr: 4.282874649632987e-06 loss: 0.0332 (0.0351) loss_seg: 0.0329 (0.0349) loss_lansim: 0.0227 (0.0233) loss_contra: 0.0001 (0.0009) time: 2.6391 data: 0.0053 max mem: 31630 Epoch: [37] [2080/5278] eta: 2:26:40 lr: 4.2800738596479515e-06 loss: 0.0332 (0.0351) loss_seg: 0.0329 (0.0349) loss_lansim: 0.0228 (0.0233) loss_contra: 0.0001 (0.0009) time: 2.6403 data: 0.0054 max mem: 31630 Epoch: [37] [2090/5278] eta: 2:26:11 lr: 4.27727286600611e-06 loss: 0.0317 (0.0351) loss_seg: 0.0314 (0.0349) loss_lansim: 0.0228 (0.0233) loss_contra: 0.0001 (0.0009) time: 2.6416 data: 0.0054 max mem: 31630 Epoch: [37] [2100/5278] eta: 2:25:41 lr: 4.2744716685444444e-06 loss: 0.0316 (0.0351) loss_seg: 0.0314 (0.0349) loss_lansim: 0.0233 (0.0233) loss_contra: 0.0001 (0.0009) time: 2.6426 data: 0.0054 max mem: 31630 Epoch: [37] [2110/5278] eta: 2:25:12 lr: 4.271670267099702e-06 loss: 0.0322 (0.0351) loss_seg: 0.0320 (0.0349) loss_lansim: 0.0233 (0.0233) loss_contra: 0.0001 (0.0009) time: 2.6431 data: 0.0054 max mem: 31630 Epoch: [37] [2120/5278] eta: 2:24:43 lr: 4.268868661508353e-06 loss: 0.0322 (0.0351) loss_seg: 0.0320 (0.0349) loss_lansim: 0.0233 (0.0233) loss_contra: 0.0001 (0.0009) time: 2.6434 data: 0.0054 max mem: 31630 Epoch: [37] [2130/5278] eta: 2:24:14 lr: 4.266066851606642e-06 loss: 0.0329 (0.0351) loss_seg: 0.0327 (0.0349) loss_lansim: 0.0228 (0.0233) loss_contra: 0.0001 (0.0009) time: 2.6445 data: 0.0054 max mem: 31630 Epoch: [37] [2140/5278] eta: 2:23:45 lr: 4.263264837230553e-06 loss: 0.0316 (0.0351) loss_seg: 0.0313 (0.0349) loss_lansim: 0.0230 (0.0233) loss_contra: 0.0001 (0.0009) time: 2.6444 data: 0.0055 max mem: 31630 Epoch: [37] [2150/5278] eta: 2:23:16 lr: 4.260462618215826e-06 loss: 0.0322 (0.0351) loss_seg: 0.0320 (0.0349) loss_lansim: 0.0233 (0.0233) loss_contra: 0.0001 (0.0009) time: 2.6438 data: 0.0055 max mem: 31630 Epoch: [37] [2160/5278] eta: 2:22:47 lr: 4.2576601943979294e-06 loss: 0.0329 (0.0351) loss_seg: 0.0327 (0.0349) loss_lansim: 0.0230 (0.0233) loss_contra: 0.0001 (0.0009) time: 2.6439 data: 0.0055 max mem: 31630 Epoch: [37] [2170/5278] eta: 2:22:18 lr: 4.254857565612099e-06 loss: 0.0317 (0.0351) loss_seg: 0.0315 (0.0348) loss_lansim: 0.0232 (0.0233) loss_contra: 0.0001 (0.0009) time: 2.6441 data: 0.0055 max mem: 31630 Epoch: [37] [2180/5278] eta: 2:21:49 lr: 4.25205473169331e-06 loss: 0.0317 (0.0351) loss_seg: 0.0315 (0.0348) loss_lansim: 0.0234 (0.0233) loss_contra: 0.0001 (0.0009) time: 2.6422 data: 0.0055 max mem: 31630 Epoch: [37] [2190/5278] eta: 2:21:20 lr: 4.249251692476291e-06 loss: 0.0319 (0.0351) loss_seg: 0.0317 (0.0348) loss_lansim: 0.0233 (0.0233) loss_contra: 0.0001 (0.0009) time: 2.6413 data: 0.0055 max mem: 31630 Epoch: [37] [2200/5278] eta: 2:20:51 lr: 4.246448447795495e-06 loss: 0.0317 (0.0351) loss_seg: 0.0315 (0.0348) loss_lansim: 0.0231 (0.0233) loss_contra: 0.0001 (0.0009) time: 2.6404 data: 0.0055 max mem: 31630 Epoch: [37] [2210/5278] eta: 2:20:22 lr: 4.2436449974851415e-06 loss: 0.0319 (0.0351) loss_seg: 0.0317 (0.0348) loss_lansim: 0.0232 (0.0233) loss_contra: 0.0001 (0.0009) time: 2.6396 data: 0.0055 max mem: 31630 Epoch: [37] [2220/5278] eta: 2:19:53 lr: 4.240841341379187e-06 loss: 0.0321 (0.0351) loss_seg: 0.0318 (0.0348) loss_lansim: 0.0230 (0.0233) loss_contra: 0.0001 (0.0009) time: 2.6392 data: 0.0055 max mem: 31630 Epoch: [37] [2230/5278] eta: 2:19:24 lr: 4.238037479311339e-06 loss: 0.0319 (0.0350) loss_seg: 0.0316 (0.0348) loss_lansim: 0.0230 (0.0233) loss_contra: 0.0001 (0.0009) time: 2.6380 data: 0.0055 max mem: 31630 Epoch: [37] [2240/5278] eta: 2:18:55 lr: 4.235233411115028e-06 loss: 0.0324 (0.0351) loss_seg: 0.0321 (0.0348) loss_lansim: 0.0230 (0.0233) loss_contra: 0.0001 (0.0009) time: 2.6379 data: 0.0055 max mem: 31630 Epoch: [37] [2250/5278] eta: 2:18:27 lr: 4.232429136623446e-06 loss: 0.0323 (0.0350) loss_seg: 0.0320 (0.0348) loss_lansim: 0.0231 (0.0233) loss_contra: 0.0001 (0.0009) time: 2.6385 data: 0.0055 max mem: 31630 Epoch: [37] [2260/5278] eta: 2:17:58 lr: 4.229624655669523e-06 loss: 0.0324 (0.0351) loss_seg: 0.0321 (0.0348) loss_lansim: 0.0233 (0.0233) loss_contra: 0.0001 (0.0009) time: 2.6389 data: 0.0055 max mem: 31630 Epoch: [37] [2270/5278] eta: 2:17:29 lr: 4.226819968085934e-06 loss: 0.0328 (0.0350) loss_seg: 0.0325 (0.0348) loss_lansim: 0.0231 (0.0233) loss_contra: 0.0001 (0.0009) time: 2.6387 data: 0.0054 max mem: 31630 Epoch: [37] [2280/5278] eta: 2:17:00 lr: 4.224015073705078e-06 loss: 0.0331 (0.0351) loss_seg: 0.0329 (0.0348) loss_lansim: 0.0231 (0.0233) loss_contra: 0.0001 (0.0009) time: 2.6394 data: 0.0054 max mem: 31630 Epoch: [37] [2290/5278] eta: 2:16:31 lr: 4.221209972359113e-06 loss: 0.0329 (0.0350) loss_seg: 0.0326 (0.0348) loss_lansim: 0.0233 (0.0233) loss_contra: 0.0001 (0.0009) time: 2.6393 data: 0.0054 max mem: 31630 Epoch: [37] [2300/5278] eta: 2:16:03 lr: 4.21840466387993e-06 loss: 0.0331 (0.0351) loss_seg: 0.0329 (0.0348) loss_lansim: 0.0234 (0.0233) loss_contra: 0.0001 (0.0009) time: 2.6391 data: 0.0054 max mem: 31630 Epoch: [37] [2310/5278] eta: 2:15:34 lr: 4.215599148099164e-06 loss: 0.0331 (0.0350) loss_seg: 0.0329 (0.0348) loss_lansim: 0.0233 (0.0233) loss_contra: 0.0001 (0.0009) time: 2.6402 data: 0.0055 max mem: 31630 Epoch: [37] [2320/5278] eta: 2:15:05 lr: 4.212793424848172e-06 loss: 0.0332 (0.0351) loss_seg: 0.0330 (0.0348) loss_lansim: 0.0231 (0.0233) loss_contra: 0.0001 (0.0009) time: 2.6410 data: 0.0056 max mem: 31630 Epoch: [37] [2330/5278] eta: 2:14:37 lr: 4.209987493958066e-06 loss: 0.0337 (0.0351) loss_seg: 0.0334 (0.0348) loss_lansim: 0.0231 (0.0233) loss_contra: 0.0001 (0.0009) time: 2.6416 data: 0.0057 max mem: 31630 Epoch: [37] [2340/5278] eta: 2:14:08 lr: 4.2071813552596905e-06 loss: 0.0340 (0.0351) loss_seg: 0.0338 (0.0348) loss_lansim: 0.0229 (0.0233) loss_contra: 0.0001 (0.0009) time: 2.6420 data: 0.0058 max mem: 31630 Epoch: [37] [2350/5278] eta: 2:13:40 lr: 4.204375008583627e-06 loss: 0.0343 (0.0351) loss_seg: 0.0341 (0.0348) loss_lansim: 0.0228 (0.0233) loss_contra: 0.0001 (0.0009) time: 2.6418 data: 0.0058 max mem: 31630 Epoch: [37] [2360/5278] eta: 2:13:11 lr: 4.201568453760198e-06 loss: 0.0343 (0.0351) loss_seg: 0.0340 (0.0349) loss_lansim: 0.0228 (0.0233) loss_contra: 0.0001 (0.0009) time: 2.6426 data: 0.0059 max mem: 31630 Epoch: [37] [2370/5278] eta: 2:12:43 lr: 4.198761690619442e-06 loss: 0.0341 (0.0351) loss_seg: 0.0339 (0.0348) loss_lansim: 0.0230 (0.0233) loss_contra: 0.0001 (0.0009) time: 2.6432 data: 0.0058 max mem: 31630 Epoch: [37] [2380/5278] eta: 2:12:14 lr: 4.1959547189911535e-06 loss: 0.0336 (0.0351) loss_seg: 0.0334 (0.0348) loss_lansim: 0.0231 (0.0234) loss_contra: 0.0001 (0.0009) time: 2.6436 data: 0.0058 max mem: 31630 Epoch: [37] [2390/5278] eta: 2:11:45 lr: 4.193147538704853e-06 loss: 0.0343 (0.0351) loss_seg: 0.0341 (0.0349) loss_lansim: 0.0228 (0.0234) loss_contra: 0.0001 (0.0009) time: 2.6446 data: 0.0059 max mem: 31630 Epoch: [37] [2400/5278] eta: 2:11:17 lr: 4.190340149589804e-06 loss: 0.0343 (0.0351) loss_seg: 0.0341 (0.0349) loss_lansim: 0.0228 (0.0234) loss_contra: 0.0001 (0.0009) time: 2.6459 data: 0.0059 max mem: 31630 Epoch: [37] [2410/5278] eta: 2:10:49 lr: 4.187532551474978e-06 loss: 0.0343 (0.0351) loss_seg: 0.0341 (0.0348) loss_lansim: 0.0228 (0.0234) loss_contra: 0.0001 (0.0009) time: 2.6461 data: 0.0058 max mem: 31630 Epoch: [37] [2420/5278] eta: 2:10:20 lr: 4.184724744189107e-06 loss: 0.0340 (0.0351) loss_seg: 0.0338 (0.0348) loss_lansim: 0.0229 (0.0234) loss_contra: 0.0001 (0.0009) time: 2.6465 data: 0.0058 max mem: 31630 Epoch: [37] [2430/5278] eta: 2:09:52 lr: 4.181916727560639e-06 loss: 0.0340 (0.0351) loss_seg: 0.0338 (0.0349) loss_lansim: 0.0231 (0.0234) loss_contra: 0.0001 (0.0009) time: 2.6468 data: 0.0057 max mem: 31630 Epoch: [37] [2440/5278] eta: 2:09:23 lr: 4.1791085014177666e-06 loss: 0.0323 (0.0351) loss_seg: 0.0320 (0.0348) loss_lansim: 0.0233 (0.0234) loss_contra: 0.0001 (0.0009) time: 2.6472 data: 0.0056 max mem: 31630 Epoch: [37] [2450/5278] eta: 2:08:55 lr: 4.1763000655883904e-06 loss: 0.0321 (0.0351) loss_seg: 0.0318 (0.0348) loss_lansim: 0.0233 (0.0234) loss_contra: 0.0001 (0.0009) time: 2.6478 data: 0.0056 max mem: 31630 Epoch: [37] [2460/5278] eta: 2:08:27 lr: 4.173491419900162e-06 loss: 0.0324 (0.0351) loss_seg: 0.0322 (0.0348) loss_lansim: 0.0234 (0.0234) loss_contra: 0.0001 (0.0009) time: 2.6474 data: 0.0055 max mem: 31630 Epoch: [37] [2470/5278] eta: 2:07:58 lr: 4.170682564180452e-06 loss: 0.0342 (0.0351) loss_seg: 0.0339 (0.0349) loss_lansim: 0.0234 (0.0234) loss_contra: 0.0001 (0.0009) time: 2.6475 data: 0.0055 max mem: 31630 Epoch: [37] [2480/5278] eta: 2:07:30 lr: 4.167873498256372e-06 loss: 0.0333 (0.0351) loss_seg: 0.0330 (0.0349) loss_lansim: 0.0229 (0.0234) loss_contra: 0.0001 (0.0009) time: 2.6476 data: 0.0056 max mem: 31630 Epoch: [37] [2490/5278] eta: 2:07:02 lr: 4.165064221954738e-06 loss: 0.0326 (0.0351) loss_seg: 0.0323 (0.0349) loss_lansim: 0.0229 (0.0234) loss_contra: 0.0001 (0.0009) time: 2.6480 data: 0.0056 max mem: 31630 Epoch: [37] [2500/5278] eta: 2:06:33 lr: 4.1622547351021155e-06 loss: 0.0326 (0.0351) loss_seg: 0.0324 (0.0349) loss_lansim: 0.0230 (0.0234) loss_contra: 0.0001 (0.0009) time: 2.6474 data: 0.0055 max mem: 31630 Epoch: [37] [2510/5278] eta: 2:06:05 lr: 4.159445037524787e-06 loss: 0.0343 (0.0351) loss_seg: 0.0340 (0.0349) loss_lansim: 0.0233 (0.0234) loss_contra: 0.0001 (0.0009) time: 2.6467 data: 0.0055 max mem: 31630 Epoch: [37] [2520/5278] eta: 2:05:37 lr: 4.156635129048772e-06 loss: 0.0342 (0.0351) loss_seg: 0.0339 (0.0349) loss_lansim: 0.0232 (0.0234) loss_contra: 0.0001 (0.0009) time: 2.6466 data: 0.0054 max mem: 31630 Epoch: [37] [2530/5278] eta: 2:05:09 lr: 4.153825009499792e-06 loss: 0.0330 (0.0351) loss_seg: 0.0327 (0.0349) loss_lansim: 0.0231 (0.0234) loss_contra: 0.0001 (0.0009) time: 2.6469 data: 0.0054 max mem: 31630 Epoch: [37] [2540/5278] eta: 2:04:40 lr: 4.151014678703315e-06 loss: 0.0346 (0.0351) loss_seg: 0.0344 (0.0349) loss_lansim: 0.0228 (0.0234) loss_contra: 0.0001 (0.0009) time: 2.6469 data: 0.0054 max mem: 31630 Epoch: [37] [2550/5278] eta: 2:04:12 lr: 4.1482041364845275e-06 loss: 0.0340 (0.0351) loss_seg: 0.0338 (0.0349) loss_lansim: 0.0227 (0.0234) loss_contra: 0.0001 (0.0009) time: 2.6470 data: 0.0054 max mem: 31630 Epoch: [37] [2560/5278] eta: 2:03:44 lr: 4.145393382668343e-06 loss: 0.0334 (0.0351) loss_seg: 0.0332 (0.0349) loss_lansim: 0.0227 (0.0234) loss_contra: 0.0001 (0.0009) time: 2.6476 data: 0.0054 max mem: 31630 Epoch: [37] [2570/5278] eta: 2:03:16 lr: 4.142582417079382e-06 loss: 0.0326 (0.0351) loss_seg: 0.0324 (0.0349) loss_lansim: 0.0226 (0.0234) loss_contra: 0.0001 (0.0009) time: 2.6477 data: 0.0054 max mem: 31630 Epoch: [37] [2580/5278] eta: 2:02:48 lr: 4.1397712395420055e-06 loss: 0.0330 (0.0352) loss_seg: 0.0327 (0.0349) loss_lansim: 0.0228 (0.0234) loss_contra: 0.0001 (0.0009) time: 2.6478 data: 0.0054 max mem: 31630 Epoch: [37] [2590/5278] eta: 2:02:19 lr: 4.136959849880289e-06 loss: 0.0334 (0.0352) loss_seg: 0.0332 (0.0349) loss_lansim: 0.0229 (0.0234) loss_contra: 0.0001 (0.0009) time: 2.6473 data: 0.0054 max mem: 31630 Epoch: [37] [2600/5278] eta: 2:01:51 lr: 4.13414824791803e-06 loss: 0.0330 (0.0352) loss_seg: 0.0327 (0.0349) loss_lansim: 0.0229 (0.0234) loss_contra: 0.0001 (0.0009) time: 2.6476 data: 0.0054 max mem: 31630 Epoch: [37] [2610/5278] eta: 2:01:23 lr: 4.131336433478751e-06 loss: 0.0317 (0.0352) loss_seg: 0.0314 (0.0349) loss_lansim: 0.0230 (0.0234) loss_contra: 0.0001 (0.0009) time: 2.6482 data: 0.0054 max mem: 31630 Epoch: [37] [2620/5278] eta: 2:00:55 lr: 4.128524406385676e-06 loss: 0.0319 (0.0352) loss_seg: 0.0317 (0.0349) loss_lansim: 0.0229 (0.0234) loss_contra: 0.0001 (0.0009) time: 2.6478 data: 0.0054 max mem: 31630 Epoch: [37] [2630/5278] eta: 2:00:27 lr: 4.12571216646177e-06 loss: 0.0321 (0.0352) loss_seg: 0.0318 (0.0349) loss_lansim: 0.0229 (0.0234) loss_contra: 0.0001 (0.0009) time: 2.6477 data: 0.0054 max mem: 31630 Epoch: [37] [2640/5278] eta: 1:59:59 lr: 4.122899713529705e-06 loss: 0.0314 (0.0352) loss_seg: 0.0311 (0.0349) loss_lansim: 0.0230 (0.0234) loss_contra: 0.0001 (0.0009) time: 2.6476 data: 0.0054 max mem: 31630 Epoch: [37] [2650/5278] eta: 1:59:31 lr: 4.1200870474118815e-06 loss: 0.0321 (0.0352) loss_seg: 0.0319 (0.0349) loss_lansim: 0.0230 (0.0234) loss_contra: 0.0001 (0.0009) time: 2.6478 data: 0.0054 max mem: 31630 Epoch: [37] [2660/5278] eta: 1:59:02 lr: 4.117274167930396e-06 loss: 0.0319 (0.0351) loss_seg: 0.0317 (0.0349) loss_lansim: 0.0230 (0.0234) loss_contra: 0.0001 (0.0009) time: 2.6474 data: 0.0054 max mem: 31630 Epoch: [37] [2670/5278] eta: 1:58:34 lr: 4.1144610749070785e-06 loss: 0.0321 (0.0352) loss_seg: 0.0319 (0.0349) loss_lansim: 0.0234 (0.0234) loss_contra: 0.0001 (0.0009) time: 2.6473 data: 0.0054 max mem: 31630 Epoch: [37] [2680/5278] eta: 1:58:06 lr: 4.1116477681634725e-06 loss: 0.0324 (0.0352) loss_seg: 0.0322 (0.0349) loss_lansim: 0.0233 (0.0234) loss_contra: 0.0001 (0.0009) time: 2.6472 data: 0.0054 max mem: 31630 Epoch: [37] [2690/5278] eta: 1:57:38 lr: 4.10883424752084e-06 loss: 0.0324 (0.0352) loss_seg: 0.0322 (0.0349) loss_lansim: 0.0234 (0.0234) loss_contra: 0.0001 (0.0009) time: 2.6476 data: 0.0054 max mem: 31630 Epoch: [37] [2700/5278] eta: 1:57:10 lr: 4.1060205128001395e-06 loss: 0.0327 (0.0352) loss_seg: 0.0323 (0.0349) loss_lansim: 0.0235 (0.0234) loss_contra: 0.0001 (0.0009) time: 2.6481 data: 0.0054 max mem: 31630 Epoch: [37] [2710/5278] eta: 1:56:42 lr: 4.103206563822062e-06 loss: 0.0330 (0.0352) loss_seg: 0.0327 (0.0349) loss_lansim: 0.0230 (0.0234) loss_contra: 0.0001 (0.0009) time: 2.6484 data: 0.0054 max mem: 31630 Epoch: [37] [2720/5278] eta: 1:56:14 lr: 4.1003924004070045e-06 loss: 0.0340 (0.0352) loss_seg: 0.0338 (0.0349) loss_lansim: 0.0230 (0.0234) loss_contra: 0.0001 (0.0009) time: 2.6486 data: 0.0054 max mem: 31630 Epoch: [37] [2730/5278] eta: 1:55:46 lr: 4.097578022375085e-06 loss: 0.0340 (0.0352) loss_seg: 0.0338 (0.0349) loss_lansim: 0.0230 (0.0234) loss_contra: 0.0001 (0.0009) time: 2.6466 data: 0.0054 max mem: 31630 Epoch: [37] [2740/5278] eta: 1:55:18 lr: 4.0947634295461105e-06 loss: 0.0340 (0.0352) loss_seg: 0.0338 (0.0349) loss_lansim: 0.0232 (0.0234) loss_contra: 0.0001 (0.0009) time: 2.6446 data: 0.0054 max mem: 31630 Epoch: [37] [2750/5278] eta: 1:54:50 lr: 4.091948621739621e-06 loss: 0.0343 (0.0352) loss_seg: 0.0340 (0.0349) loss_lansim: 0.0229 (0.0234) loss_contra: 0.0001 (0.0009) time: 2.6424 data: 0.0054 max mem: 31630 Epoch: [37] [2760/5278] eta: 1:54:22 lr: 4.08913359877486e-06 loss: 0.0337 (0.0352) loss_seg: 0.0334 (0.0349) loss_lansim: 0.0229 (0.0234) loss_contra: 0.0001 (0.0009) time: 2.6402 data: 0.0054 max mem: 31630 Epoch: [37] [2770/5278] eta: 1:53:53 lr: 4.086318360470786e-06 loss: 0.0335 (0.0352) loss_seg: 0.0333 (0.0349) loss_lansim: 0.0229 (0.0234) loss_contra: 0.0001 (0.0009) time: 2.6381 data: 0.0053 max mem: 31630 Epoch: [37] [2780/5278] eta: 1:53:25 lr: 4.083502906646048e-06 loss: 0.0333 (0.0351) loss_seg: 0.0330 (0.0349) loss_lansim: 0.0229 (0.0234) loss_contra: 0.0001 (0.0009) time: 2.6357 data: 0.0053 max mem: 31630 Epoch: [37] [2790/5278] eta: 1:52:57 lr: 4.0806872371190225e-06 loss: 0.0331 (0.0351) loss_seg: 0.0329 (0.0349) loss_lansim: 0.0228 (0.0234) loss_contra: 0.0001 (0.0009) time: 2.6323 data: 0.0053 max mem: 31630 Epoch: [37] [2800/5278] eta: 1:52:29 lr: 4.077871351707785e-06 loss: 0.0335 (0.0352) loss_seg: 0.0333 (0.0349) loss_lansim: 0.0229 (0.0234) loss_contra: 0.0001 (0.0009) time: 2.6286 data: 0.0053 max mem: 31630 Epoch: [37] [2810/5278] eta: 1:52:01 lr: 4.07505525023013e-06 loss: 0.0328 (0.0352) loss_seg: 0.0326 (0.0349) loss_lansim: 0.0231 (0.0234) loss_contra: 0.0001 (0.0009) time: 2.6260 data: 0.0053 max mem: 31630 Epoch: [37] [2820/5278] eta: 1:51:33 lr: 4.0722389325035305e-06 loss: 0.0332 (0.0352) loss_seg: 0.0329 (0.0349) loss_lansim: 0.0232 (0.0234) loss_contra: 0.0001 (0.0009) time: 2.6250 data: 0.0053 max mem: 31630 Epoch: [37] [2830/5278] eta: 1:51:06 lr: 4.069422398345192e-06 loss: 0.0332 (0.0352) loss_seg: 0.0330 (0.0349) loss_lansim: 0.0232 (0.0234) loss_contra: 0.0001 (0.0009) time: 2.6417 data: 0.0054 max mem: 31630 Epoch: [37] [2840/5278] eta: 1:50:40 lr: 4.066605647572015e-06 loss: 0.0331 (0.0352) loss_seg: 0.0327 (0.0349) loss_lansim: 0.0234 (0.0234) loss_contra: 0.0001 (0.0009) time: 2.6686 data: 0.0055 max mem: 31630 Epoch: [37] [2850/5278] eta: 1:50:15 lr: 4.063788680000601e-06 loss: 0.0326 (0.0352) loss_seg: 0.0322 (0.0349) loss_lansim: 0.0237 (0.0234) loss_contra: 0.0001 (0.0009) time: 2.6968 data: 0.0055 max mem: 31630 Epoch: [37] [2860/5278] eta: 1:49:49 lr: 4.060971495447269e-06 loss: 0.0332 (0.0352) loss_seg: 0.0327 (0.0349) loss_lansim: 0.0237 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.7240 data: 0.0055 max mem: 31630 Epoch: [37] [2870/5278] eta: 1:49:23 lr: 4.0581540937280136e-06 loss: 0.0332 (0.0352) loss_seg: 0.0330 (0.0350) loss_lansim: 0.0237 (0.0234) loss_contra: 0.0001 (0.0009) time: 2.7514 data: 0.0056 max mem: 31630 Epoch: [37] [2880/5278] eta: 1:48:57 lr: 4.055336474658555e-06 loss: 0.0346 (0.0352) loss_seg: 0.0343 (0.0350) loss_lansim: 0.0238 (0.0234) loss_contra: 0.0001 (0.0009) time: 2.7795 data: 0.0056 max mem: 31630 Epoch: [37] [2890/5278] eta: 1:48:31 lr: 4.052518638054307e-06 loss: 0.0351 (0.0352) loss_seg: 0.0348 (0.0350) loss_lansim: 0.0238 (0.0234) loss_contra: 0.0001 (0.0009) time: 2.8070 data: 0.0057 max mem: 31630 Epoch: [37] [2900/5278] eta: 1:48:06 lr: 4.04970058373039e-06 loss: 0.0347 (0.0352) loss_seg: 0.0344 (0.0350) loss_lansim: 0.0236 (0.0234) loss_contra: 0.0001 (0.0009) time: 2.8342 data: 0.0058 max mem: 31630 Epoch: [37] [2910/5278] eta: 1:47:40 lr: 4.046882311501605e-06 loss: 0.0347 (0.0352) loss_seg: 0.0343 (0.0350) loss_lansim: 0.0233 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.8628 data: 0.0058 max mem: 31630 Epoch: [37] [2920/5278] eta: 1:47:14 lr: 4.044063821182473e-06 loss: 0.0347 (0.0352) loss_seg: 0.0343 (0.0350) loss_lansim: 0.0234 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.8893 data: 0.0059 max mem: 31630 Epoch: [37] [2930/5278] eta: 1:46:48 lr: 4.041245112587204e-06 loss: 0.0339 (0.0352) loss_seg: 0.0336 (0.0349) loss_lansim: 0.0234 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.8994 data: 0.0059 max mem: 31630 Epoch: [37] [2940/5278] eta: 1:46:22 lr: 4.038426185529714e-06 loss: 0.0337 (0.0352) loss_seg: 0.0334 (0.0349) loss_lansim: 0.0233 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.9019 data: 0.0058 max mem: 31630 Epoch: [37] [2950/5278] eta: 1:45:56 lr: 4.035607039823595e-06 loss: 0.0339 (0.0352) loss_seg: 0.0336 (0.0349) loss_lansim: 0.0232 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.9014 data: 0.0059 max mem: 31630 Epoch: [37] [2960/5278] eta: 1:45:30 lr: 4.032787675282158e-06 loss: 0.0330 (0.0352) loss_seg: 0.0328 (0.0349) loss_lansim: 0.0232 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.9028 data: 0.0059 max mem: 31630 Epoch: [37] [2970/5278] eta: 1:45:04 lr: 4.029968091718399e-06 loss: 0.0330 (0.0352) loss_seg: 0.0328 (0.0349) loss_lansim: 0.0232 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.9031 data: 0.0060 max mem: 31630 Epoch: [37] [2980/5278] eta: 1:44:38 lr: 4.027148288945016e-06 loss: 0.0324 (0.0352) loss_seg: 0.0322 (0.0349) loss_lansim: 0.0231 (0.0234) loss_contra: 0.0002 (0.0010) time: 2.9036 data: 0.0060 max mem: 31630 Epoch: [37] [2990/5278] eta: 1:44:12 lr: 4.024328266774384e-06 loss: 0.0324 (0.0352) loss_seg: 0.0322 (0.0350) loss_lansim: 0.0232 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.9053 data: 0.0059 max mem: 31630 Epoch: [37] [3000/5278] eta: 1:43:46 lr: 4.0215080250185874e-06 loss: 0.0327 (0.0352) loss_seg: 0.0324 (0.0350) loss_lansim: 0.0234 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.9066 data: 0.0059 max mem: 31630 Epoch: [37] [3010/5278] eta: 1:43:20 lr: 4.018687563489399e-06 loss: 0.0329 (0.0352) loss_seg: 0.0326 (0.0350) loss_lansim: 0.0233 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.9048 data: 0.0059 max mem: 31630 Epoch: [37] [3020/5278] eta: 1:42:54 lr: 4.015866881998288e-06 loss: 0.0327 (0.0352) loss_seg: 0.0324 (0.0350) loss_lansim: 0.0232 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.9039 data: 0.0059 max mem: 31630 Epoch: [37] [3030/5278] eta: 1:42:28 lr: 4.0130459803563975e-06 loss: 0.0327 (0.0352) loss_seg: 0.0324 (0.0349) loss_lansim: 0.0231 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.9051 data: 0.0059 max mem: 31630 Epoch: [37] [3040/5278] eta: 1:42:02 lr: 4.010224858374578e-06 loss: 0.0331 (0.0352) loss_seg: 0.0329 (0.0349) loss_lansim: 0.0232 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.9042 data: 0.0058 max mem: 31630 Epoch: [37] [3050/5278] eta: 1:41:36 lr: 4.007403515863363e-06 loss: 0.0337 (0.0352) loss_seg: 0.0335 (0.0350) loss_lansim: 0.0232 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.9035 data: 0.0058 max mem: 31630 Epoch: [37] [3060/5278] eta: 1:41:10 lr: 4.004581952632983e-06 loss: 0.0337 (0.0352) loss_seg: 0.0335 (0.0349) loss_lansim: 0.0232 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.9020 data: 0.0058 max mem: 31630 Epoch: [37] [3070/5278] eta: 1:40:43 lr: 4.0017601684933364e-06 loss: 0.0337 (0.0352) loss_seg: 0.0335 (0.0349) loss_lansim: 0.0230 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.9024 data: 0.0058 max mem: 31630 Epoch: [37] [3080/5278] eta: 1:40:17 lr: 3.998938163254027e-06 loss: 0.0338 (0.0352) loss_seg: 0.0336 (0.0350) loss_lansim: 0.0230 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.9032 data: 0.0058 max mem: 31630 Epoch: [37] [3090/5278] eta: 1:39:51 lr: 3.99611593672434e-06 loss: 0.0340 (0.0352) loss_seg: 0.0337 (0.0350) loss_lansim: 0.0228 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.9030 data: 0.0058 max mem: 31630 Epoch: [37] [3100/5278] eta: 1:39:25 lr: 3.993293488713245e-06 loss: 0.0338 (0.0352) loss_seg: 0.0336 (0.0350) loss_lansim: 0.0227 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.9032 data: 0.0058 max mem: 31630 Epoch: [37] [3110/5278] eta: 1:38:59 lr: 3.990470819029406e-06 loss: 0.0335 (0.0352) loss_seg: 0.0332 (0.0349) loss_lansim: 0.0227 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.9044 data: 0.0058 max mem: 31630 Epoch: [37] [3120/5278] eta: 1:38:33 lr: 3.987647927481147e-06 loss: 0.0334 (0.0352) loss_seg: 0.0332 (0.0349) loss_lansim: 0.0227 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.9071 data: 0.0058 max mem: 31630 Epoch: [37] [3130/5278] eta: 1:38:06 lr: 3.984824813876499e-06 loss: 0.0333 (0.0352) loss_seg: 0.0330 (0.0349) loss_lansim: 0.0228 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.9086 data: 0.0058 max mem: 31630 Epoch: [37] [3140/5278] eta: 1:37:40 lr: 3.982001478023167e-06 loss: 0.0330 (0.0352) loss_seg: 0.0327 (0.0349) loss_lansim: 0.0227 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.9108 data: 0.0058 max mem: 31630 Epoch: [37] [3150/5278] eta: 1:37:14 lr: 3.979177919728544e-06 loss: 0.0326 (0.0352) loss_seg: 0.0324 (0.0350) loss_lansim: 0.0229 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.9119 data: 0.0058 max mem: 31630 Epoch: [37] [3160/5278] eta: 1:36:48 lr: 3.976354138799686e-06 loss: 0.0330 (0.0352) loss_seg: 0.0327 (0.0350) loss_lansim: 0.0229 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.9136 data: 0.0057 max mem: 31630 Epoch: [37] [3170/5278] eta: 1:36:22 lr: 3.973530135043349e-06 loss: 0.0335 (0.0352) loss_seg: 0.0332 (0.0350) loss_lansim: 0.0234 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.9153 data: 0.0057 max mem: 31630 Epoch: [37] [3180/5278] eta: 1:35:55 lr: 3.970705908265961e-06 loss: 0.0335 (0.0352) loss_seg: 0.0332 (0.0350) loss_lansim: 0.0234 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.9161 data: 0.0057 max mem: 31630 Epoch: [37] [3190/5278] eta: 1:35:29 lr: 3.967881458273635e-06 loss: 0.0333 (0.0352) loss_seg: 0.0331 (0.0350) loss_lansim: 0.0234 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.9196 data: 0.0057 max mem: 31630 Epoch: [37] [3200/5278] eta: 1:35:03 lr: 3.965056784872143e-06 loss: 0.0335 (0.0352) loss_seg: 0.0332 (0.0350) loss_lansim: 0.0234 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.9224 data: 0.0057 max mem: 31630 Epoch: [37] [3210/5278] eta: 1:34:37 lr: 3.962231887866953e-06 loss: 0.0349 (0.0353) loss_seg: 0.0347 (0.0350) loss_lansim: 0.0231 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.9248 data: 0.0058 max mem: 31630 Epoch: [37] [3220/5278] eta: 1:34:11 lr: 3.959406767063203e-06 loss: 0.0352 (0.0353) loss_seg: 0.0350 (0.0350) loss_lansim: 0.0231 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.9274 data: 0.0058 max mem: 31630 Epoch: [37] [3230/5278] eta: 1:33:44 lr: 3.956581422265716e-06 loss: 0.0352 (0.0353) loss_seg: 0.0350 (0.0350) loss_lansim: 0.0229 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.9297 data: 0.0058 max mem: 31630 Epoch: [37] [3240/5278] eta: 1:33:18 lr: 3.953755853278964e-06 loss: 0.0354 (0.0353) loss_seg: 0.0352 (0.0350) loss_lansim: 0.0230 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.9320 data: 0.0058 max mem: 31630 Epoch: [37] [3250/5278] eta: 1:32:52 lr: 3.9509300599071185e-06 loss: 0.0351 (0.0353) loss_seg: 0.0348 (0.0350) loss_lansim: 0.0233 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.9347 data: 0.0057 max mem: 31630 Epoch: [37] [3260/5278] eta: 1:32:26 lr: 3.948104041954015e-06 loss: 0.0351 (0.0353) loss_seg: 0.0348 (0.0350) loss_lansim: 0.0233 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.9376 data: 0.0058 max mem: 31630 Epoch: [37] [3270/5278] eta: 1:31:59 lr: 3.945277799223168e-06 loss: 0.0335 (0.0353) loss_seg: 0.0333 (0.0350) loss_lansim: 0.0233 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.9392 data: 0.0058 max mem: 31630 Epoch: [37] [3280/5278] eta: 1:31:33 lr: 3.9424513315177435e-06 loss: 0.0330 (0.0353) loss_seg: 0.0328 (0.0350) loss_lansim: 0.0234 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.9404 data: 0.0058 max mem: 31630 Epoch: [37] [3290/5278] eta: 1:31:07 lr: 3.9396246386405985e-06 loss: 0.0326 (0.0352) loss_seg: 0.0323 (0.0350) loss_lansim: 0.0235 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.9400 data: 0.0058 max mem: 31630 Epoch: [37] [3300/5278] eta: 1:30:40 lr: 3.936797720394254e-06 loss: 0.0330 (0.0352) loss_seg: 0.0327 (0.0350) loss_lansim: 0.0236 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.9411 data: 0.0058 max mem: 31630 Epoch: [37] [3310/5278] eta: 1:30:14 lr: 3.933970576580906e-06 loss: 0.0330 (0.0353) loss_seg: 0.0328 (0.0350) loss_lansim: 0.0236 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.9428 data: 0.0058 max mem: 31630 Epoch: [37] [3320/5278] eta: 1:29:48 lr: 3.931143207002398e-06 loss: 0.0322 (0.0352) loss_seg: 0.0320 (0.0350) loss_lansim: 0.0239 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.9419 data: 0.0057 max mem: 31630 Epoch: [37] [3330/5278] eta: 1:29:21 lr: 3.928315611460262e-06 loss: 0.0321 (0.0352) loss_seg: 0.0319 (0.0350) loss_lansim: 0.0240 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.9417 data: 0.0058 max mem: 31630 Epoch: [37] [3340/5278] eta: 1:28:55 lr: 3.92548778975569e-06 loss: 0.0321 (0.0352) loss_seg: 0.0319 (0.0350) loss_lansim: 0.0241 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.9397 data: 0.0058 max mem: 31630 Epoch: [37] [3350/5278] eta: 1:28:28 lr: 3.92265974168954e-06 loss: 0.0326 (0.0352) loss_seg: 0.0323 (0.0350) loss_lansim: 0.0241 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.9396 data: 0.0058 max mem: 31630 Epoch: [37] [3360/5278] eta: 1:28:02 lr: 3.91983146706234e-06 loss: 0.0321 (0.0352) loss_seg: 0.0319 (0.0350) loss_lansim: 0.0241 (0.0234) loss_contra: 0.0001 (0.0010) time: 2.9389 data: 0.0058 max mem: 31630 Epoch: [37] [3370/5278] eta: 1:27:35 lr: 3.917002965674264e-06 loss: 0.0332 (0.0352) loss_seg: 0.0329 (0.0350) loss_lansim: 0.0241 (0.0235) loss_contra: 0.0001 (0.0010) time: 2.9393 data: 0.0058 max mem: 31630 Epoch: [37] [3380/5278] eta: 1:27:09 lr: 3.9141742373251685e-06 loss: 0.0337 (0.0352) loss_seg: 0.0335 (0.0350) loss_lansim: 0.0241 (0.0235) loss_contra: 0.0001 (0.0010) time: 2.9394 data: 0.0058 max mem: 31630 Epoch: [37] [3390/5278] eta: 1:26:42 lr: 3.911345281814566e-06 loss: 0.0339 (0.0353) loss_seg: 0.0337 (0.0350) loss_lansim: 0.0243 (0.0235) loss_contra: 0.0001 (0.0010) time: 2.9397 data: 0.0058 max mem: 31630 Epoch: [37] [3400/5278] eta: 1:26:16 lr: 3.908516098941637e-06 loss: 0.0349 (0.0353) loss_seg: 0.0346 (0.0350) loss_lansim: 0.0243 (0.0235) loss_contra: 0.0001 (0.0010) time: 2.9393 data: 0.0058 max mem: 31630 Epoch: [37] [3410/5278] eta: 1:25:49 lr: 3.905686688505203e-06 loss: 0.0342 (0.0353) loss_seg: 0.0340 (0.0350) loss_lansim: 0.0246 (0.0235) loss_contra: 0.0001 (0.0010) time: 2.9406 data: 0.0058 max mem: 31630 Epoch: [37] [3420/5278] eta: 1:25:23 lr: 3.902857050303766e-06 loss: 0.0355 (0.0353) loss_seg: 0.0353 (0.0350) loss_lansim: 0.0246 (0.0235) loss_contra: 0.0001 (0.0010) time: 2.9399 data: 0.0058 max mem: 31630 Epoch: [37] [3430/5278] eta: 1:24:56 lr: 3.900027184135479e-06 loss: 0.0358 (0.0353) loss_seg: 0.0355 (0.0350) loss_lansim: 0.0246 (0.0235) loss_contra: 0.0001 (0.0010) time: 2.9390 data: 0.0058 max mem: 31630 Epoch: [37] [3440/5278] eta: 1:24:29 lr: 3.897197089798161e-06 loss: 0.0362 (0.0353) loss_seg: 0.0359 (0.0351) loss_lansim: 0.0246 (0.0235) loss_contra: 0.0001 (0.0010) time: 2.9410 data: 0.0058 max mem: 31630 Epoch: [37] [3450/5278] eta: 1:24:03 lr: 3.8943667670892686e-06 loss: 0.0359 (0.0353) loss_seg: 0.0356 (0.0351) loss_lansim: 0.0242 (0.0235) loss_contra: 0.0001 (0.0010) time: 2.9424 data: 0.0058 max mem: 31630 Epoch: [37] [3460/5278] eta: 1:23:36 lr: 3.891536215805934e-06 loss: 0.0362 (0.0353) loss_seg: 0.0359 (0.0351) loss_lansim: 0.0242 (0.0235) loss_contra: 0.0001 (0.0010) time: 2.9433 data: 0.0057 max mem: 31630 Epoch: [37] [3470/5278] eta: 1:23:10 lr: 3.8887054357449384e-06 loss: 0.0358 (0.0353) loss_seg: 0.0355 (0.0350) loss_lansim: 0.0244 (0.0235) loss_contra: 0.0001 (0.0010) time: 2.9424 data: 0.0057 max mem: 31630 Epoch: [37] [3480/5278] eta: 1:22:43 lr: 3.885874426702725e-06 loss: 0.0351 (0.0353) loss_seg: 0.0347 (0.0350) loss_lansim: 0.0246 (0.0235) loss_contra: 0.0001 (0.0010) time: 2.9431 data: 0.0058 max mem: 31630 Epoch: [37] [3490/5278] eta: 1:22:16 lr: 3.883043188475372e-06 loss: 0.0347 (0.0353) loss_seg: 0.0345 (0.0350) loss_lansim: 0.0242 (0.0235) loss_contra: 0.0001 (0.0010) time: 2.9446 data: 0.0058 max mem: 31630 Epoch: [37] [3500/5278] eta: 1:21:50 lr: 3.880211720858629e-06 loss: 0.0331 (0.0353) loss_seg: 0.0328 (0.0350) loss_lansim: 0.0240 (0.0235) loss_contra: 0.0001 (0.0010) time: 2.9447 data: 0.0058 max mem: 31630 Epoch: [37] [3510/5278] eta: 1:21:23 lr: 3.87738002364789e-06 loss: 0.0331 (0.0353) loss_seg: 0.0328 (0.0350) loss_lansim: 0.0240 (0.0235) loss_contra: 0.0001 (0.0010) time: 2.9432 data: 0.0058 max mem: 31630 Epoch: [37] [3520/5278] eta: 1:20:56 lr: 3.87454809663821e-06 loss: 0.0342 (0.0353) loss_seg: 0.0339 (0.0350) loss_lansim: 0.0241 (0.0235) loss_contra: 0.0001 (0.0010) time: 2.9443 data: 0.0057 max mem: 31630 Epoch: [37] [3530/5278] eta: 1:20:29 lr: 3.871715939624273e-06 loss: 0.0331 (0.0353) loss_seg: 0.0328 (0.0350) loss_lansim: 0.0240 (0.0235) loss_contra: 0.0001 (0.0010) time: 2.9450 data: 0.0057 max mem: 31630 Epoch: [37] [3540/5278] eta: 1:20:03 lr: 3.868883552400432e-06 loss: 0.0325 (0.0353) loss_seg: 0.0323 (0.0350) loss_lansim: 0.0241 (0.0235) loss_contra: 0.0001 (0.0010) time: 2.9461 data: 0.0057 max mem: 31630 Epoch: [37] [3550/5278] eta: 1:19:36 lr: 3.866050934760683e-06 loss: 0.0325 (0.0353) loss_seg: 0.0323 (0.0350) loss_lansim: 0.0242 (0.0235) loss_contra: 0.0001 (0.0010) time: 2.9468 data: 0.0058 max mem: 31630 Epoch: [37] [3560/5278] eta: 1:19:09 lr: 3.8632180864986766e-06 loss: 0.0327 (0.0353) loss_seg: 0.0325 (0.0350) loss_lansim: 0.0241 (0.0235) loss_contra: 0.0001 (0.0010) time: 2.9468 data: 0.0058 max mem: 31630 Epoch: [37] [3570/5278] eta: 1:18:43 lr: 3.860385007407689e-06 loss: 0.0331 (0.0353) loss_seg: 0.0329 (0.0350) loss_lansim: 0.0236 (0.0235) loss_contra: 0.0001 (0.0010) time: 2.9487 data: 0.0058 max mem: 31630 Epoch: [37] [3580/5278] eta: 1:18:16 lr: 3.857551697280662e-06 loss: 0.0327 (0.0353) loss_seg: 0.0325 (0.0350) loss_lansim: 0.0236 (0.0235) loss_contra: 0.0001 (0.0010) time: 2.9496 data: 0.0057 max mem: 31630 Epoch: [37] [3590/5278] eta: 1:17:49 lr: 3.854718155910179e-06 loss: 0.0327 (0.0353) loss_seg: 0.0325 (0.0350) loss_lansim: 0.0237 (0.0235) loss_contra: 0.0001 (0.0010) time: 2.9516 data: 0.0057 max mem: 31630 Epoch: [37] [3600/5278] eta: 1:17:22 lr: 3.851884383088464e-06 loss: 0.0331 (0.0353) loss_seg: 0.0329 (0.0350) loss_lansim: 0.0241 (0.0235) loss_contra: 0.0001 (0.0010) time: 2.9559 data: 0.0057 max mem: 31630 Epoch: [37] [3610/5278] eta: 1:16:56 lr: 3.849050378607394e-06 loss: 0.0342 (0.0353) loss_seg: 0.0339 (0.0350) loss_lansim: 0.0241 (0.0235) loss_contra: 0.0001 (0.0010) time: 2.9575 data: 0.0058 max mem: 31630 Epoch: [37] [3620/5278] eta: 1:16:29 lr: 3.846216142258466e-06 loss: 0.0327 (0.0353) loss_seg: 0.0325 (0.0350) loss_lansim: 0.0243 (0.0235) loss_contra: 0.0001 (0.0010) time: 2.9597 data: 0.0057 max mem: 31630 Epoch: [37] [3630/5278] eta: 1:16:02 lr: 3.843381673832839e-06 loss: 0.0331 (0.0353) loss_seg: 0.0329 (0.0350) loss_lansim: 0.0240 (0.0235) loss_contra: 0.0001 (0.0010) time: 2.9621 data: 0.0058 max mem: 31630 Epoch: [37] [3640/5278] eta: 1:15:35 lr: 3.840546973121308e-06 loss: 0.0343 (0.0353) loss_seg: 0.0341 (0.0350) loss_lansim: 0.0237 (0.0235) loss_contra: 0.0001 (0.0010) time: 2.9630 data: 0.0058 max mem: 31630 Epoch: [37] [3650/5278] eta: 1:15:09 lr: 3.83771203991431e-06 loss: 0.0331 (0.0353) loss_seg: 0.0329 (0.0350) loss_lansim: 0.0237 (0.0235) loss_contra: 0.0001 (0.0010) time: 2.9629 data: 0.0058 max mem: 31630 Epoch: [37] [3660/5278] eta: 1:14:42 lr: 3.834876874001906e-06 loss: 0.0331 (0.0353) loss_seg: 0.0328 (0.0350) loss_lansim: 0.0243 (0.0236) loss_contra: 0.0001 (0.0010) time: 2.9643 data: 0.0058 max mem: 31630 Epoch: [37] [3670/5278] eta: 1:14:15 lr: 3.832041475173811e-06 loss: 0.0329 (0.0353) loss_seg: 0.0326 (0.0350) loss_lansim: 0.0247 (0.0236) loss_contra: 0.0001 (0.0010) time: 2.9641 data: 0.0059 max mem: 31630 Epoch: [37] [3680/5278] eta: 1:13:48 lr: 3.829205843219372e-06 loss: 0.0339 (0.0353) loss_seg: 0.0336 (0.0350) loss_lansim: 0.0250 (0.0236) loss_contra: 0.0001 (0.0010) time: 2.9654 data: 0.0059 max mem: 31630 Epoch: [37] [3690/5278] eta: 1:13:21 lr: 3.8263699779275775e-06 loss: 0.0340 (0.0353) loss_seg: 0.0337 (0.0350) loss_lansim: 0.0251 (0.0236) loss_contra: 0.0001 (0.0010) time: 2.9659 data: 0.0059 max mem: 31630 Epoch: [37] [3700/5278] eta: 1:12:54 lr: 3.823533879087032e-06 loss: 0.0330 (0.0353) loss_seg: 0.0328 (0.0350) loss_lansim: 0.0250 (0.0236) loss_contra: 0.0001 (0.0010) time: 2.9653 data: 0.0059 max mem: 31630 Epoch: [37] [3710/5278] eta: 1:12:27 lr: 3.820697546485994e-06 loss: 0.0327 (0.0352) loss_seg: 0.0324 (0.0350) loss_lansim: 0.0249 (0.0236) loss_contra: 0.0001 (0.0010) time: 2.9665 data: 0.0059 max mem: 31630 Epoch: [37] [3720/5278] eta: 1:12:00 lr: 3.817860979912349e-06 loss: 0.0325 (0.0353) loss_seg: 0.0323 (0.0351) loss_lansim: 0.0249 (0.0236) loss_contra: 0.0001 (0.0010) time: 2.9667 data: 0.0059 max mem: 31630 Epoch: [37] [3730/5278] eta: 1:11:33 lr: 3.815024179153619e-06 loss: 0.0314 (0.0353) loss_seg: 0.0311 (0.0351) loss_lansim: 0.0250 (0.0236) loss_contra: 0.0001 (0.0010) time: 2.9652 data: 0.0059 max mem: 31630 Epoch: [37] [3740/5278] eta: 1:11:07 lr: 3.8121871439969406e-06 loss: 0.0311 (0.0353) loss_seg: 0.0308 (0.0351) loss_lansim: 0.0254 (0.0236) loss_contra: 0.0001 (0.0010) time: 2.9653 data: 0.0059 max mem: 31630 Epoch: [37] [3750/5278] eta: 1:10:40 lr: 3.809349874229099e-06 loss: 0.0329 (0.0353) loss_seg: 0.0326 (0.0351) loss_lansim: 0.0252 (0.0236) loss_contra: 0.0001 (0.0010) time: 2.9665 data: 0.0059 max mem: 31630 Epoch: [37] [3760/5278] eta: 1:10:13 lr: 3.8065123696365014e-06 loss: 0.0330 (0.0353) loss_seg: 0.0327 (0.0351) loss_lansim: 0.0249 (0.0236) loss_contra: 0.0001 (0.0010) time: 2.9666 data: 0.0059 max mem: 31630 Epoch: [37] [3770/5278] eta: 1:09:46 lr: 3.8036746300051925e-06 loss: 0.0330 (0.0353) loss_seg: 0.0327 (0.0351) loss_lansim: 0.0247 (0.0236) loss_contra: 0.0001 (0.0010) time: 2.9674 data: 0.0059 max mem: 31630 Epoch: [37] [3780/5278] eta: 1:09:19 lr: 3.8008366551208214e-06 loss: 0.0335 (0.0354) loss_seg: 0.0332 (0.0351) loss_lansim: 0.0247 (0.0236) loss_contra: 0.0001 (0.0010) time: 2.9680 data: 0.0059 max mem: 31630 Epoch: [37] [3790/5278] eta: 1:08:52 lr: 3.797998444768687e-06 loss: 0.0334 (0.0353) loss_seg: 0.0332 (0.0351) loss_lansim: 0.0246 (0.0236) loss_contra: 0.0001 (0.0010) time: 2.9687 data: 0.0059 max mem: 31630 Epoch: [37] [3800/5278] eta: 1:08:25 lr: 3.795159998733705e-06 loss: 0.0339 (0.0353) loss_seg: 0.0337 (0.0351) loss_lansim: 0.0246 (0.0236) loss_contra: 0.0001 (0.0010) time: 2.9688 data: 0.0058 max mem: 31630 Epoch: [37] [3810/5278] eta: 1:07:58 lr: 3.7923213168004228e-06 loss: 0.0339 (0.0353) loss_seg: 0.0337 (0.0351) loss_lansim: 0.0244 (0.0236) loss_contra: 0.0001 (0.0010) time: 2.9676 data: 0.0058 max mem: 31630 Epoch: [37] [3820/5278] eta: 1:07:30 lr: 3.7894823987529913e-06 loss: 0.0339 (0.0353) loss_seg: 0.0335 (0.0351) loss_lansim: 0.0240 (0.0236) loss_contra: 0.0001 (0.0010) time: 2.9670 data: 0.0058 max mem: 31630 Epoch: [37] [3830/5278] eta: 1:07:03 lr: 3.7866432443752056e-06 loss: 0.0339 (0.0353) loss_seg: 0.0337 (0.0351) loss_lansim: 0.0244 (0.0236) loss_contra: 0.0001 (0.0010) time: 2.9682 data: 0.0058 max mem: 31630 Epoch: [37] [3840/5278] eta: 1:06:36 lr: 3.7838038534504733e-06 loss: 0.0336 (0.0353) loss_seg: 0.0334 (0.0351) loss_lansim: 0.0244 (0.0236) loss_contra: 0.0001 (0.0010) time: 2.9690 data: 0.0058 max mem: 31630 Epoch: [37] [3850/5278] eta: 1:06:09 lr: 3.780964225761824e-06 loss: 0.0329 (0.0353) loss_seg: 0.0326 (0.0351) loss_lansim: 0.0246 (0.0236) loss_contra: 0.0001 (0.0010) time: 2.9682 data: 0.0058 max mem: 31630 Epoch: [37] [3860/5278] eta: 1:05:42 lr: 3.778124361091915e-06 loss: 0.0329 (0.0353) loss_seg: 0.0326 (0.0351) loss_lansim: 0.0244 (0.0236) loss_contra: 0.0001 (0.0010) time: 2.9692 data: 0.0058 max mem: 31630 Epoch: [37] [3870/5278] eta: 1:05:15 lr: 3.775284259223e-06 loss: 0.0329 (0.0353) loss_seg: 0.0326 (0.0351) loss_lansim: 0.0244 (0.0236) loss_contra: 0.0001 (0.0010) time: 2.9693 data: 0.0058 max mem: 31630 Epoch: [37] [3880/5278] eta: 1:04:48 lr: 3.7724439199369724e-06 loss: 0.0329 (0.0353) loss_seg: 0.0326 (0.0351) loss_lansim: 0.0244 (0.0236) loss_contra: 0.0001 (0.0010) time: 2.9684 data: 0.0058 max mem: 31630 Epoch: [37] [3890/5278] eta: 1:04:21 lr: 3.7696033430153337e-06 loss: 0.0331 (0.0353) loss_seg: 0.0328 (0.0351) loss_lansim: 0.0244 (0.0236) loss_contra: 0.0001 (0.0010) time: 2.9672 data: 0.0058 max mem: 31630 Epoch: [37] [3900/5278] eta: 1:03:54 lr: 3.7667625282392103e-06 loss: 0.0329 (0.0353) loss_seg: 0.0326 (0.0351) loss_lansim: 0.0244 (0.0236) loss_contra: 0.0001 (0.0010) time: 2.9652 data: 0.0058 max mem: 31630 Epoch: [37] [3910/5278] eta: 1:03:26 lr: 3.763921475389322e-06 loss: 0.0336 (0.0353) loss_seg: 0.0333 (0.0351) loss_lansim: 0.0244 (0.0236) loss_contra: 0.0001 (0.0010) time: 2.9671 data: 0.0058 max mem: 31630 Epoch: [37] [3920/5278] eta: 1:02:59 lr: 3.7610801842460216e-06 loss: 0.0336 (0.0353) loss_seg: 0.0334 (0.0351) loss_lansim: 0.0244 (0.0236) loss_contra: 0.0001 (0.0010) time: 2.9690 data: 0.0058 max mem: 31630 Epoch: [37] [3930/5278] eta: 1:02:32 lr: 3.7582386545892695e-06 loss: 0.0341 (0.0353) loss_seg: 0.0338 (0.0351) loss_lansim: 0.0242 (0.0236) loss_contra: 0.0001 (0.0010) time: 2.9708 data: 0.0058 max mem: 31630 Epoch: [37] [3940/5278] eta: 1:02:05 lr: 3.755396886198645e-06 loss: 0.0341 (0.0353) loss_seg: 0.0338 (0.0351) loss_lansim: 0.0242 (0.0236) loss_contra: 0.0001 (0.0010) time: 2.9681 data: 0.0058 max mem: 31630 Epoch: [37] [3950/5278] eta: 1:01:38 lr: 3.7525548788533157e-06 loss: 0.0336 (0.0353) loss_seg: 0.0334 (0.0350) loss_lansim: 0.0239 (0.0236) loss_contra: 0.0001 (0.0010) time: 2.9698 data: 0.0058 max mem: 31630 Epoch: [37] [3960/5278] eta: 1:01:10 lr: 3.7497126323320813e-06 loss: 0.0333 (0.0353) loss_seg: 0.0330 (0.0350) loss_lansim: 0.0240 (0.0236) loss_contra: 0.0001 (0.0010) time: 2.9702 data: 0.0058 max mem: 31630 Epoch: [37] [3970/5278] eta: 1:00:43 lr: 3.746870146413342e-06 loss: 0.0333 (0.0353) loss_seg: 0.0330 (0.0350) loss_lansim: 0.0244 (0.0237) loss_contra: 0.0001 (0.0010) time: 2.9705 data: 0.0058 max mem: 31630 Epoch: [37] [3980/5278] eta: 1:00:16 lr: 3.744027420875114e-06 loss: 0.0329 (0.0353) loss_seg: 0.0327 (0.0350) loss_lansim: 0.0243 (0.0237) loss_contra: 0.0001 (0.0010) time: 2.9711 data: 0.0058 max mem: 31630 Epoch: [37] [3990/5278] eta: 0:59:48 lr: 3.7411844554949983e-06 loss: 0.0324 (0.0353) loss_seg: 0.0321 (0.0350) loss_lansim: 0.0243 (0.0237) loss_contra: 0.0001 (0.0010) time: 2.9666 data: 0.0058 max mem: 31630 Epoch: [37] [4000/5278] eta: 0:59:21 lr: 3.738341250050223e-06 loss: 0.0324 (0.0353) loss_seg: 0.0321 (0.0350) loss_lansim: 0.0243 (0.0237) loss_contra: 0.0001 (0.0010) time: 2.9618 data: 0.0058 max mem: 31630 Epoch: [37] [4010/5278] eta: 0:58:54 lr: 3.7354978043176134e-06 loss: 0.0324 (0.0353) loss_seg: 0.0321 (0.0350) loss_lansim: 0.0244 (0.0237) loss_contra: 0.0001 (0.0010) time: 2.9553 data: 0.0058 max mem: 31630 Epoch: [37] [4020/5278] eta: 0:58:26 lr: 3.732654118073605e-06 loss: 0.0324 (0.0353) loss_seg: 0.0321 (0.0350) loss_lansim: 0.0246 (0.0237) loss_contra: 0.0001 (0.0010) time: 2.9482 data: 0.0058 max mem: 31630 Epoch: [37] [4030/5278] eta: 0:57:59 lr: 3.7298101910942172e-06 loss: 0.0328 (0.0353) loss_seg: 0.0326 (0.0350) loss_lansim: 0.0245 (0.0237) loss_contra: 0.0001 (0.0010) time: 2.9410 data: 0.0058 max mem: 31630 Epoch: [37] [4040/5278] eta: 0:57:31 lr: 3.726966023155089e-06 loss: 0.0333 (0.0353) loss_seg: 0.0330 (0.0350) loss_lansim: 0.0249 (0.0237) loss_contra: 0.0001 (0.0010) time: 2.9363 data: 0.0058 max mem: 31630 Epoch: [37] [4050/5278] eta: 0:57:04 lr: 3.724121614031453e-06 loss: 0.0333 (0.0353) loss_seg: 0.0331 (0.0350) loss_lansim: 0.0249 (0.0237) loss_contra: 0.0001 (0.0010) time: 2.9300 data: 0.0058 max mem: 31630 Epoch: [37] [4060/5278] eta: 0:56:36 lr: 3.7212769634981513e-06 loss: 0.0333 (0.0353) loss_seg: 0.0331 (0.0350) loss_lansim: 0.0251 (0.0237) loss_contra: 0.0001 (0.0010) time: 2.9238 data: 0.0058 max mem: 31630 Epoch: [37] [4070/5278] eta: 0:56:09 lr: 3.7184320713296002e-06 loss: 0.0334 (0.0353) loss_seg: 0.0331 (0.0350) loss_lansim: 0.0250 (0.0237) loss_contra: 0.0001 (0.0010) time: 2.9201 data: 0.0058 max mem: 31630 Epoch: [37] [4080/5278] eta: 0:55:41 lr: 3.715586937299835e-06 loss: 0.0332 (0.0353) loss_seg: 0.0330 (0.0350) loss_lansim: 0.0249 (0.0237) loss_contra: 0.0001 (0.0010) time: 2.9221 data: 0.0058 max mem: 31630 Epoch: [37] [4090/5278] eta: 0:55:14 lr: 3.7127415611824805e-06 loss: 0.0333 (0.0353) loss_seg: 0.0331 (0.0350) loss_lansim: 0.0247 (0.0237) loss_contra: 0.0001 (0.0010) time: 2.9263 data: 0.0058 max mem: 31630 Epoch: [37] [4100/5278] eta: 0:54:47 lr: 3.709895942750758e-06 loss: 0.0337 (0.0353) loss_seg: 0.0335 (0.0350) loss_lansim: 0.0248 (0.0237) loss_contra: 0.0001 (0.0010) time: 2.9321 data: 0.0058 max mem: 31630 Epoch: [37] [4110/5278] eta: 0:54:19 lr: 3.707050081777487e-06 loss: 0.0343 (0.0353) loss_seg: 0.0341 (0.0350) loss_lansim: 0.0245 (0.0237) loss_contra: 0.0001 (0.0010) time: 2.9368 data: 0.0058 max mem: 31630 Epoch: [37] [4120/5278] eta: 0:53:52 lr: 3.704203978035062e-06 loss: 0.0349 (0.0353) loss_seg: 0.0346 (0.0350) loss_lansim: 0.0244 (0.0237) loss_contra: 0.0001 (0.0009) time: 2.9414 data: 0.0058 max mem: 31630 Epoch: [37] [4130/5278] eta: 0:53:24 lr: 3.701357631295488e-06 loss: 0.0340 (0.0353) loss_seg: 0.0338 (0.0351) loss_lansim: 0.0246 (0.0237) loss_contra: 0.0001 (0.0010) time: 2.9465 data: 0.0058 max mem: 31630 Epoch: [37] [4140/5278] eta: 0:52:57 lr: 3.6985110413303547e-06 loss: 0.0340 (0.0353) loss_seg: 0.0338 (0.0351) loss_lansim: 0.0244 (0.0237) loss_contra: 0.0001 (0.0010) time: 2.9529 data: 0.0059 max mem: 31630 Epoch: [37] [4150/5278] eta: 0:52:29 lr: 3.6956642079108496e-06 loss: 0.0340 (0.0353) loss_seg: 0.0338 (0.0351) loss_lansim: 0.0243 (0.0237) loss_contra: 0.0001 (0.0010) time: 2.9584 data: 0.0059 max mem: 31630 Epoch: [37] [4160/5278] eta: 0:52:02 lr: 3.692817130807727e-06 loss: 0.0349 (0.0353) loss_seg: 0.0346 (0.0351) loss_lansim: 0.0241 (0.0237) loss_contra: 0.0000 (0.0010) time: 2.9640 data: 0.0059 max mem: 31630 Epoch: [37] [4170/5278] eta: 0:51:34 lr: 3.6899698097913493e-06 loss: 0.0349 (0.0353) loss_seg: 0.0346 (0.0351) loss_lansim: 0.0241 (0.0237) loss_contra: 0.0000 (0.0010) time: 2.9667 data: 0.0059 max mem: 31630 Epoch: [37] [4180/5278] eta: 0:51:07 lr: 3.68712224463166e-06 loss: 0.0351 (0.0353) loss_seg: 0.0348 (0.0351) loss_lansim: 0.0243 (0.0237) loss_contra: 0.0000 (0.0010) time: 2.9648 data: 0.0059 max mem: 31630 Epoch: [37] [4190/5278] eta: 0:50:39 lr: 3.6842744350981916e-06 loss: 0.0349 (0.0353) loss_seg: 0.0346 (0.0351) loss_lansim: 0.0243 (0.0237) loss_contra: 0.0001 (0.0010) time: 2.9636 data: 0.0059 max mem: 31630 Epoch: [37] [4200/5278] eta: 0:50:12 lr: 3.681426380960045e-06 loss: 0.0350 (0.0353) loss_seg: 0.0347 (0.0351) loss_lansim: 0.0244 (0.0237) loss_contra: 0.0001 (0.0009) time: 2.9633 data: 0.0059 max mem: 31630 Epoch: [37] [4210/5278] eta: 0:49:44 lr: 3.6785780819859208e-06 loss: 0.0337 (0.0353) loss_seg: 0.0335 (0.0351) loss_lansim: 0.0248 (0.0237) loss_contra: 0.0001 (0.0009) time: 2.9653 data: 0.0059 max mem: 31630 Epoch: [37] [4220/5278] eta: 0:49:17 lr: 3.6757295379440967e-06 loss: 0.0333 (0.0353) loss_seg: 0.0331 (0.0351) loss_lansim: 0.0248 (0.0237) loss_contra: 0.0001 (0.0009) time: 2.9675 data: 0.0059 max mem: 31630 Epoch: [37] [4230/5278] eta: 0:48:49 lr: 3.672880748602438e-06 loss: 0.0342 (0.0353) loss_seg: 0.0339 (0.0351) loss_lansim: 0.0247 (0.0237) loss_contra: 0.0001 (0.0010) time: 2.9690 data: 0.0059 max mem: 31630 Epoch: [37] [4240/5278] eta: 0:48:22 lr: 3.670031713728369e-06 loss: 0.0333 (0.0353) loss_seg: 0.0331 (0.0351) loss_lansim: 0.0244 (0.0237) loss_contra: 0.0001 (0.0010) time: 2.9690 data: 0.0058 max mem: 31630 Epoch: [37] [4250/5278] eta: 0:47:54 lr: 3.6671824330889134e-06 loss: 0.0328 (0.0353) loss_seg: 0.0326 (0.0351) loss_lansim: 0.0244 (0.0237) loss_contra: 0.0001 (0.0010) time: 2.9697 data: 0.0058 max mem: 31630 Epoch: [37] [4260/5278] eta: 0:47:27 lr: 3.664332906450666e-06 loss: 0.0322 (0.0353) loss_seg: 0.0319 (0.0351) loss_lansim: 0.0241 (0.0237) loss_contra: 0.0001 (0.0010) time: 2.9710 data: 0.0058 max mem: 31630 Epoch: [37] [4270/5278] eta: 0:46:59 lr: 3.661483133579804e-06 loss: 0.0321 (0.0353) loss_seg: 0.0318 (0.0350) loss_lansim: 0.0241 (0.0237) loss_contra: 0.0001 (0.0010) time: 2.9721 data: 0.0058 max mem: 31630 Epoch: [37] [4280/5278] eta: 0:46:32 lr: 3.6586331142420605e-06 loss: 0.0322 (0.0353) loss_seg: 0.0320 (0.0351) loss_lansim: 0.0240 (0.0237) loss_contra: 0.0001 (0.0010) time: 2.9737 data: 0.0058 max mem: 31630 Epoch: [37] [4290/5278] eta: 0:46:04 lr: 3.655782848202762e-06 loss: 0.0337 (0.0353) loss_seg: 0.0335 (0.0351) loss_lansim: 0.0240 (0.0237) loss_contra: 0.0001 (0.0010) time: 2.9736 data: 0.0058 max mem: 31630 Epoch: [37] [4300/5278] eta: 0:45:37 lr: 3.6529323352268023e-06 loss: 0.0334 (0.0353) loss_seg: 0.0332 (0.0351) loss_lansim: 0.0238 (0.0237) loss_contra: 0.0001 (0.0010) time: 2.9737 data: 0.0058 max mem: 31630 Epoch: [37] [4310/5278] eta: 0:45:09 lr: 3.650081575078654e-06 loss: 0.0338 (0.0353) loss_seg: 0.0336 (0.0351) loss_lansim: 0.0237 (0.0237) loss_contra: 0.0001 (0.0010) time: 2.9719 data: 0.0058 max mem: 31630 Epoch: [37] [4320/5278] eta: 0:44:41 lr: 3.647230567522338e-06 loss: 0.0338 (0.0353) loss_seg: 0.0336 (0.0350) loss_lansim: 0.0237 (0.0237) loss_contra: 0.0001 (0.0010) time: 2.9698 data: 0.0059 max mem: 31630 Epoch: [37] [4330/5278] eta: 0:44:14 lr: 3.6443793123214686e-06 loss: 0.0332 (0.0353) loss_seg: 0.0329 (0.0350) loss_lansim: 0.0237 (0.0237) loss_contra: 0.0001 (0.0009) time: 2.9671 data: 0.0059 max mem: 31630 Epoch: [37] [4340/5278] eta: 0:43:46 lr: 3.641527809239219e-06 loss: 0.0333 (0.0353) loss_seg: 0.0330 (0.0350) loss_lansim: 0.0235 (0.0237) loss_contra: 0.0001 (0.0009) time: 2.9670 data: 0.0058 max mem: 31630 Epoch: [37] [4350/5278] eta: 0:43:18 lr: 3.63867605803833e-06 loss: 0.0336 (0.0353) loss_seg: 0.0334 (0.0351) loss_lansim: 0.0233 (0.0237) loss_contra: 0.0001 (0.0009) time: 2.9661 data: 0.0058 max mem: 31630 Epoch: [37] [4360/5278] eta: 0:42:51 lr: 3.6358240584811166e-06 loss: 0.0344 (0.0353) loss_seg: 0.0341 (0.0351) loss_lansim: 0.0235 (0.0237) loss_contra: 0.0001 (0.0010) time: 2.9635 data: 0.0059 max mem: 31630 Epoch: [37] [4370/5278] eta: 0:42:23 lr: 3.632971810329437e-06 loss: 0.0344 (0.0353) loss_seg: 0.0341 (0.0350) loss_lansim: 0.0233 (0.0237) loss_contra: 0.0001 (0.0010) time: 2.9643 data: 0.0058 max mem: 31630 Epoch: [37] [4380/5278] eta: 0:41:55 lr: 3.630119313344734e-06 loss: 0.0336 (0.0353) loss_seg: 0.0334 (0.0350) loss_lansim: 0.0233 (0.0237) loss_contra: 0.0001 (0.0010) time: 2.9626 data: 0.0058 max mem: 31630 Epoch: [37] [4390/5278] eta: 0:41:28 lr: 3.627266567288006e-06 loss: 0.0336 (0.0353) loss_seg: 0.0334 (0.0351) loss_lansim: 0.0231 (0.0237) loss_contra: 0.0001 (0.0010) time: 2.9635 data: 0.0058 max mem: 31630 Epoch: [37] [4400/5278] eta: 0:41:00 lr: 3.624413571919821e-06 loss: 0.0332 (0.0353) loss_seg: 0.0329 (0.0351) loss_lansim: 0.0233 (0.0237) loss_contra: 0.0001 (0.0010) time: 2.9628 data: 0.0058 max mem: 31630 Epoch: [37] [4410/5278] eta: 0:40:32 lr: 3.6215603270002833e-06 loss: 0.0336 (0.0353) loss_seg: 0.0334 (0.0351) loss_lansim: 0.0236 (0.0237) loss_contra: 0.0001 (0.0010) time: 2.9625 data: 0.0058 max mem: 31630 Epoch: [37] [4420/5278] eta: 0:40:05 lr: 3.61870683228908e-06 loss: 0.0346 (0.0353) loss_seg: 0.0343 (0.0351) loss_lansim: 0.0235 (0.0237) loss_contra: 0.0001 (0.0010) time: 2.9640 data: 0.0058 max mem: 31630 Epoch: [37] [4430/5278] eta: 0:39:37 lr: 3.6158530875454483e-06 loss: 0.0346 (0.0353) loss_seg: 0.0343 (0.0351) loss_lansim: 0.0237 (0.0237) loss_contra: 0.0001 (0.0010) time: 2.9649 data: 0.0058 max mem: 31630 Epoch: [37] [4440/5278] eta: 0:39:09 lr: 3.612999092528188e-06 loss: 0.0337 (0.0353) loss_seg: 0.0334 (0.0351) loss_lansim: 0.0241 (0.0238) loss_contra: 0.0001 (0.0010) time: 2.9638 data: 0.0058 max mem: 31630 Epoch: [37] [4450/5278] eta: 0:38:41 lr: 3.6101448469956354e-06 loss: 0.0337 (0.0353) loss_seg: 0.0334 (0.0351) loss_lansim: 0.0246 (0.0238) loss_contra: 0.0001 (0.0010) time: 2.9642 data: 0.0058 max mem: 31630 Epoch: [37] [4460/5278] eta: 0:38:14 lr: 3.6072903507056984e-06 loss: 0.0337 (0.0353) loss_seg: 0.0334 (0.0351) loss_lansim: 0.0246 (0.0238) loss_contra: 0.0001 (0.0010) time: 2.9651 data: 0.0058 max mem: 31630 Epoch: [37] [4470/5278] eta: 0:37:46 lr: 3.6044356034158346e-06 loss: 0.0342 (0.0353) loss_seg: 0.0340 (0.0351) loss_lansim: 0.0248 (0.0238) loss_contra: 0.0001 (0.0010) time: 2.9633 data: 0.0059 max mem: 31630 Epoch: [37] [4480/5278] eta: 0:37:18 lr: 3.6015806048830576e-06 loss: 0.0342 (0.0354) loss_seg: 0.0340 (0.0351) loss_lansim: 0.0250 (0.0238) loss_contra: 0.0001 (0.0010) time: 2.9633 data: 0.0059 max mem: 31630 Epoch: [37] [4490/5278] eta: 0:36:50 lr: 3.5987253548639124e-06 loss: 0.0337 (0.0354) loss_seg: 0.0334 (0.0351) loss_lansim: 0.0250 (0.0238) loss_contra: 0.0001 (0.0010) time: 2.9641 data: 0.0059 max mem: 31630 Epoch: [37] [4500/5278] eta: 0:36:23 lr: 3.5958698531145133e-06 loss: 0.0332 (0.0354) loss_seg: 0.0330 (0.0351) loss_lansim: 0.0250 (0.0238) loss_contra: 0.0001 (0.0010) time: 2.9640 data: 0.0059 max mem: 31630 Epoch: [37] [4510/5278] eta: 0:35:55 lr: 3.5930140993905162e-06 loss: 0.0329 (0.0353) loss_seg: 0.0326 (0.0351) loss_lansim: 0.0250 (0.0238) loss_contra: 0.0001 (0.0010) time: 2.9638 data: 0.0059 max mem: 31630 Epoch: [37] [4520/5278] eta: 0:35:27 lr: 3.590158093447129e-06 loss: 0.0332 (0.0354) loss_seg: 0.0328 (0.0351) loss_lansim: 0.0251 (0.0238) loss_contra: 0.0001 (0.0010) time: 2.9622 data: 0.0059 max mem: 31630 Epoch: [37] [4530/5278] eta: 0:34:59 lr: 3.587301835039087e-06 loss: 0.0337 (0.0354) loss_seg: 0.0334 (0.0351) loss_lansim: 0.0251 (0.0238) loss_contra: 0.0001 (0.0010) time: 2.9629 data: 0.0059 max mem: 31630 Epoch: [37] [4540/5278] eta: 0:34:31 lr: 3.5844453239206898e-06 loss: 0.0339 (0.0354) loss_seg: 0.0336 (0.0351) loss_lansim: 0.0252 (0.0238) loss_contra: 0.0001 (0.0010) time: 2.9636 data: 0.0059 max mem: 31630 Epoch: [37] [4550/5278] eta: 0:34:03 lr: 3.5815885598457715e-06 loss: 0.0342 (0.0354) loss_seg: 0.0339 (0.0352) loss_lansim: 0.0252 (0.0238) loss_contra: 0.0001 (0.0010) time: 2.9617 data: 0.0060 max mem: 31630 Epoch: [37] [4560/5278] eta: 0:33:36 lr: 3.578731542567716e-06 loss: 0.0338 (0.0354) loss_seg: 0.0336 (0.0352) loss_lansim: 0.0249 (0.0238) loss_contra: 0.0001 (0.0010) time: 2.9613 data: 0.0060 max mem: 31630 Epoch: [37] [4570/5278] eta: 0:33:08 lr: 3.5758742718394286e-06 loss: 0.0337 (0.0354) loss_seg: 0.0335 (0.0351) loss_lansim: 0.0249 (0.0238) loss_contra: 0.0001 (0.0010) time: 2.9632 data: 0.0059 max mem: 31630 Epoch: [37] [4580/5278] eta: 0:32:40 lr: 3.5730167474133726e-06 loss: 0.0338 (0.0354) loss_seg: 0.0336 (0.0351) loss_lansim: 0.0249 (0.0238) loss_contra: 0.0001 (0.0010) time: 2.9633 data: 0.0059 max mem: 31630 Epoch: [37] [4590/5278] eta: 0:32:12 lr: 3.5701589690415426e-06 loss: 0.0337 (0.0354) loss_seg: 0.0335 (0.0351) loss_lansim: 0.0248 (0.0238) loss_contra: 0.0001 (0.0010) time: 2.9619 data: 0.0059 max mem: 31630 Epoch: [37] [4600/5278] eta: 0:31:44 lr: 3.567300936475471e-06 loss: 0.0338 (0.0354) loss_seg: 0.0336 (0.0351) loss_lansim: 0.0248 (0.0238) loss_contra: 0.0001 (0.0010) time: 2.9637 data: 0.0059 max mem: 31630 Epoch: [37] [4610/5278] eta: 0:31:16 lr: 3.5644426494662312e-06 loss: 0.0342 (0.0354) loss_seg: 0.0340 (0.0351) loss_lansim: 0.0248 (0.0238) loss_contra: 0.0001 (0.0010) time: 2.9649 data: 0.0059 max mem: 31630 Epoch: [37] [4620/5278] eta: 0:30:49 lr: 3.561584107764411e-06 loss: 0.0342 (0.0354) loss_seg: 0.0339 (0.0351) loss_lansim: 0.0249 (0.0238) loss_contra: 0.0001 (0.0010) time: 2.9649 data: 0.0059 max mem: 31630 Epoch: [37] [4630/5278] eta: 0:30:21 lr: 3.558725311120152e-06 loss: 0.0340 (0.0354) loss_seg: 0.0338 (0.0351) loss_lansim: 0.0249 (0.0238) loss_contra: 0.0001 (0.0010) time: 2.9634 data: 0.0059 max mem: 31630 Epoch: [37] [4640/5278] eta: 0:29:53 lr: 3.55586625928312e-06 loss: 0.0342 (0.0354) loss_seg: 0.0339 (0.0352) loss_lansim: 0.0250 (0.0238) loss_contra: 0.0001 (0.0010) time: 2.9637 data: 0.0059 max mem: 31630 Epoch: [37] [4650/5278] eta: 0:29:25 lr: 3.5530069520025173e-06 loss: 0.0336 (0.0354) loss_seg: 0.0334 (0.0352) loss_lansim: 0.0250 (0.0238) loss_contra: 0.0001 (0.0010) time: 2.9654 data: 0.0059 max mem: 31630 Epoch: [37] [4660/5278] eta: 0:28:57 lr: 3.5501473890270567e-06 loss: 0.0336 (0.0354) loss_seg: 0.0334 (0.0352) loss_lansim: 0.0252 (0.0238) loss_contra: 0.0001 (0.0010) time: 2.9659 data: 0.0059 max mem: 31630 Epoch: [37] [4670/5278] eta: 0:28:29 lr: 3.5472875701049973e-06 loss: 0.0342 (0.0354) loss_seg: 0.0339 (0.0352) loss_lansim: 0.0255 (0.0238) loss_contra: 0.0001 (0.0010) time: 2.9649 data: 0.0059 max mem: 31630 Epoch: [37] [4680/5278] eta: 0:28:01 lr: 3.5444274949841183e-06 loss: 0.0336 (0.0354) loss_seg: 0.0334 (0.0352) loss_lansim: 0.0255 (0.0238) loss_contra: 0.0001 (0.0010) time: 2.9650 data: 0.0059 max mem: 31630 Epoch: [37] [4690/5278] eta: 0:27:33 lr: 3.541567163411731e-06 loss: 0.0342 (0.0354) loss_seg: 0.0339 (0.0352) loss_lansim: 0.0257 (0.0238) loss_contra: 0.0001 (0.0010) time: 2.9644 data: 0.0059 max mem: 31630 Epoch: [37] [4700/5278] eta: 0:27:05 lr: 3.53870657513465e-06 loss: 0.0346 (0.0354) loss_seg: 0.0343 (0.0352) loss_lansim: 0.0257 (0.0239) loss_contra: 0.0001 (0.0010) time: 2.9629 data: 0.0059 max mem: 31630 Epoch: [37] [4710/5278] eta: 0:26:37 lr: 3.535845729899233e-06 loss: 0.0342 (0.0354) loss_seg: 0.0339 (0.0352) loss_lansim: 0.0257 (0.0239) loss_contra: 0.0001 (0.0010) time: 2.9635 data: 0.0059 max mem: 31630 Epoch: [37] [4720/5278] eta: 0:26:09 lr: 3.532984627451351e-06 loss: 0.0332 (0.0354) loss_seg: 0.0329 (0.0352) loss_lansim: 0.0257 (0.0239) loss_contra: 0.0001 (0.0010) time: 2.9636 data: 0.0059 max mem: 31630 Epoch: [37] [4730/5278] eta: 0:25:41 lr: 3.5301232675364024e-06 loss: 0.0330 (0.0354) loss_seg: 0.0328 (0.0352) loss_lansim: 0.0257 (0.0239) loss_contra: 0.0001 (0.0010) time: 2.9653 data: 0.0058 max mem: 31630 Epoch: [37] [4740/5278] eta: 0:25:13 lr: 3.527261649899284e-06 loss: 0.0326 (0.0354) loss_seg: 0.0324 (0.0352) loss_lansim: 0.0257 (0.0239) loss_contra: 0.0001 (0.0010) time: 2.9643 data: 0.0058 max mem: 31630 Epoch: [37] [4750/5278] eta: 0:24:45 lr: 3.5243997742844293e-06 loss: 0.0330 (0.0354) loss_seg: 0.0328 (0.0352) loss_lansim: 0.0257 (0.0239) loss_contra: 0.0001 (0.0010) time: 2.9637 data: 0.0059 max mem: 31630 Epoch: [37] [4760/5278] eta: 0:24:17 lr: 3.5215376404357805e-06 loss: 0.0326 (0.0354) loss_seg: 0.0324 (0.0352) loss_lansim: 0.0257 (0.0239) loss_contra: 0.0001 (0.0010) time: 2.9635 data: 0.0058 max mem: 31630 Epoch: [37] [4770/5278] eta: 0:23:49 lr: 3.5186752480968013e-06 loss: 0.0330 (0.0354) loss_seg: 0.0328 (0.0352) loss_lansim: 0.0257 (0.0239) loss_contra: 0.0001 (0.0010) time: 2.9638 data: 0.0058 max mem: 31630 Epoch: [37] [4780/5278] eta: 0:23:21 lr: 3.515812597010449e-06 loss: 0.0324 (0.0354) loss_seg: 0.0321 (0.0351) loss_lansim: 0.0253 (0.0239) loss_contra: 0.0001 (0.0010) time: 2.9635 data: 0.0058 max mem: 31630 Epoch: [37] [4790/5278] eta: 0:22:53 lr: 3.512949686919211e-06 loss: 0.0322 (0.0354) loss_seg: 0.0319 (0.0351) loss_lansim: 0.0255 (0.0239) loss_contra: 0.0001 (0.0010) time: 2.9520 data: 0.0058 max mem: 31630 Epoch: [37] [4800/5278] eta: 0:22:25 lr: 3.5100865175650796e-06 loss: 0.0322 (0.0354) loss_seg: 0.0320 (0.0351) loss_lansim: 0.0249 (0.0239) loss_contra: 0.0001 (0.0010) time: 2.9200 data: 0.0057 max mem: 31630 Epoch: [37] [4810/5278] eta: 0:21:57 lr: 3.5072230886895564e-06 loss: 0.0320 (0.0354) loss_seg: 0.0316 (0.0351) loss_lansim: 0.0247 (0.0239) loss_contra: 0.0001 (0.0010) time: 2.8864 data: 0.0056 max mem: 31630 Epoch: [37] [4820/5278] eta: 0:21:28 lr: 3.5043594000336543e-06 loss: 0.0326 (0.0354) loss_seg: 0.0323 (0.0351) loss_lansim: 0.0247 (0.0239) loss_contra: 0.0001 (0.0010) time: 2.8545 data: 0.0056 max mem: 31630 Epoch: [37] [4830/5278] eta: 0:21:00 lr: 3.5014954513378768e-06 loss: 0.0333 (0.0354) loss_seg: 0.0330 (0.0351) loss_lansim: 0.0244 (0.0239) loss_contra: 0.0001 (0.0010) time: 2.8211 data: 0.0055 max mem: 31630 Epoch: [37] [4840/5278] eta: 0:20:32 lr: 3.498631242342247e-06 loss: 0.0324 (0.0354) loss_seg: 0.0321 (0.0351) loss_lansim: 0.0244 (0.0239) loss_contra: 0.0001 (0.0010) time: 2.7887 data: 0.0055 max mem: 31630 Epoch: [37] [4850/5278] eta: 0:20:03 lr: 3.4957667727862903e-06 loss: 0.0331 (0.0354) loss_seg: 0.0329 (0.0351) loss_lansim: 0.0249 (0.0239) loss_contra: 0.0001 (0.0010) time: 2.7560 data: 0.0054 max mem: 31630 Epoch: [37] [4860/5278] eta: 0:19:35 lr: 3.492902042409036e-06 loss: 0.0322 (0.0354) loss_seg: 0.0319 (0.0351) loss_lansim: 0.0247 (0.0239) loss_contra: 0.0001 (0.0010) time: 2.7235 data: 0.0054 max mem: 31630 Epoch: [37] [4870/5278] eta: 0:19:07 lr: 3.4900370509489966e-06 loss: 0.0322 (0.0354) loss_seg: 0.0319 (0.0351) loss_lansim: 0.0248 (0.0239) loss_contra: 0.0001 (0.0010) time: 2.6904 data: 0.0053 max mem: 31630 Epoch: [37] [4880/5278] eta: 0:18:39 lr: 3.4871717981442017e-06 loss: 0.0338 (0.0354) loss_seg: 0.0335 (0.0351) loss_lansim: 0.0249 (0.0239) loss_contra: 0.0001 (0.0010) time: 2.6572 data: 0.0053 max mem: 31630 Epoch: [37] [4890/5278] eta: 0:18:10 lr: 3.4843062837321734e-06 loss: 0.0341 (0.0354) loss_seg: 0.0339 (0.0351) loss_lansim: 0.0246 (0.0239) loss_contra: 0.0001 (0.0010) time: 2.6356 data: 0.0053 max mem: 31630 Epoch: [37] [4900/5278] eta: 0:17:42 lr: 3.4814405074499375e-06 loss: 0.0343 (0.0354) loss_seg: 0.0340 (0.0351) loss_lansim: 0.0246 (0.0239) loss_contra: 0.0001 (0.0010) time: 2.6340 data: 0.0053 max mem: 31630 Epoch: [37] [4910/5278] eta: 0:17:14 lr: 3.4785744690339928e-06 loss: 0.0344 (0.0354) loss_seg: 0.0342 (0.0351) loss_lansim: 0.0246 (0.0239) loss_contra: 0.0001 (0.0010) time: 2.6330 data: 0.0053 max mem: 31630 Epoch: [37] [4920/5278] eta: 0:16:46 lr: 3.4757081682203514e-06 loss: 0.0347 (0.0354) loss_seg: 0.0344 (0.0351) loss_lansim: 0.0246 (0.0239) loss_contra: 0.0001 (0.0010) time: 2.6324 data: 0.0053 max mem: 31630 Epoch: [37] [4930/5278] eta: 0:16:17 lr: 3.4728416047445125e-06 loss: 0.0350 (0.0354) loss_seg: 0.0347 (0.0352) loss_lansim: 0.0248 (0.0239) loss_contra: 0.0001 (0.0010) time: 2.6313 data: 0.0053 max mem: 31630 Epoch: [37] [4940/5278] eta: 0:15:49 lr: 3.469974778341471e-06 loss: 0.0357 (0.0354) loss_seg: 0.0354 (0.0352) loss_lansim: 0.0248 (0.0239) loss_contra: 0.0001 (0.0010) time: 2.6300 data: 0.0053 max mem: 31630 Epoch: [37] [4950/5278] eta: 0:15:21 lr: 3.4671076887456915e-06 loss: 0.0345 (0.0354) loss_seg: 0.0342 (0.0351) loss_lansim: 0.0248 (0.0239) loss_contra: 0.0001 (0.0010) time: 2.6292 data: 0.0053 max mem: 31630 Epoch: [37] [4960/5278] eta: 0:14:53 lr: 3.464240335691147e-06 loss: 0.0344 (0.0354) loss_seg: 0.0342 (0.0351) loss_lansim: 0.0249 (0.0239) loss_contra: 0.0001 (0.0010) time: 2.6284 data: 0.0053 max mem: 31630 Epoch: [37] [4970/5278] eta: 0:14:25 lr: 3.4613727189112884e-06 loss: 0.0336 (0.0354) loss_seg: 0.0333 (0.0351) loss_lansim: 0.0249 (0.0239) loss_contra: 0.0001 (0.0010) time: 2.6275 data: 0.0053 max mem: 31630 Epoch: [37] [4980/5278] eta: 0:13:56 lr: 3.4585048381390586e-06 loss: 0.0334 (0.0354) loss_seg: 0.0331 (0.0351) loss_lansim: 0.0251 (0.0239) loss_contra: 0.0001 (0.0010) time: 2.6269 data: 0.0052 max mem: 31630 Epoch: [37] [4990/5278] eta: 0:13:28 lr: 3.455636693106864e-06 loss: 0.0326 (0.0354) loss_seg: 0.0324 (0.0351) loss_lansim: 0.0251 (0.0239) loss_contra: 0.0001 (0.0010) time: 2.6274 data: 0.0052 max mem: 31630 Epoch: [37] [5000/5278] eta: 0:13:00 lr: 3.4527682835466124e-06 loss: 0.0327 (0.0354) loss_seg: 0.0325 (0.0351) loss_lansim: 0.0249 (0.0239) loss_contra: 0.0001 (0.0010) time: 2.6276 data: 0.0053 max mem: 31630 Epoch: [37] [5010/5278] eta: 0:12:32 lr: 3.4498996091896858e-06 loss: 0.0323 (0.0354) loss_seg: 0.0320 (0.0351) loss_lansim: 0.0251 (0.0240) loss_contra: 0.0001 (0.0010) time: 2.6275 data: 0.0053 max mem: 31630 Epoch: [37] [5020/5278] eta: 0:12:04 lr: 3.4470306697669498e-06 loss: 0.0317 (0.0354) loss_seg: 0.0315 (0.0351) loss_lansim: 0.0248 (0.0240) loss_contra: 0.0001 (0.0010) time: 2.6272 data: 0.0053 max mem: 31630 Epoch: [37] [5030/5278] eta: 0:11:35 lr: 3.4441614650087307e-06 loss: 0.0317 (0.0354) loss_seg: 0.0315 (0.0351) loss_lansim: 0.0249 (0.0240) loss_contra: 0.0001 (0.0010) time: 2.6276 data: 0.0053 max mem: 31630 Epoch: [37] [5040/5278] eta: 0:11:07 lr: 3.441291994644847e-06 loss: 0.0317 (0.0354) loss_seg: 0.0315 (0.0351) loss_lansim: 0.0251 (0.0240) loss_contra: 0.0001 (0.0010) time: 2.6278 data: 0.0052 max mem: 31630 Epoch: [37] [5050/5278] eta: 0:10:39 lr: 3.4384222584045866e-06 loss: 0.0318 (0.0354) loss_seg: 0.0316 (0.0351) loss_lansim: 0.0251 (0.0240) loss_contra: 0.0001 (0.0010) time: 2.6281 data: 0.0052 max mem: 31630 Epoch: [37] [5060/5278] eta: 0:10:11 lr: 3.435552256016711e-06 loss: 0.0323 (0.0354) loss_seg: 0.0320 (0.0351) loss_lansim: 0.0252 (0.0240) loss_contra: 0.0001 (0.0010) time: 2.6280 data: 0.0052 max mem: 31630 Epoch: [37] [5070/5278] eta: 0:09:43 lr: 3.4326819872094574e-06 loss: 0.0323 (0.0354) loss_seg: 0.0320 (0.0351) loss_lansim: 0.0257 (0.0240) loss_contra: 0.0001 (0.0010) time: 2.6282 data: 0.0052 max mem: 31630 Epoch: [37] [5080/5278] eta: 0:09:15 lr: 3.4298114517105136e-06 loss: 0.0326 (0.0354) loss_seg: 0.0324 (0.0351) loss_lansim: 0.0259 (0.0240) loss_contra: 0.0001 (0.0010) time: 2.6282 data: 0.0052 max mem: 31630 Epoch: [37] [5090/5278] eta: 0:08:47 lr: 3.4269406492470568e-06 loss: 0.0332 (0.0354) loss_seg: 0.0330 (0.0351) loss_lansim: 0.0259 (0.0240) loss_contra: 0.0001 (0.0010) time: 2.6278 data: 0.0052 max mem: 31630 Epoch: [37] [5100/5278] eta: 0:08:19 lr: 3.4240695795457224e-06 loss: 0.0323 (0.0354) loss_seg: 0.0320 (0.0351) loss_lansim: 0.0259 (0.0240) loss_contra: 0.0001 (0.0010) time: 2.6277 data: 0.0052 max mem: 31630 Epoch: [37] [5110/5278] eta: 0:07:51 lr: 3.421198242332619e-06 loss: 0.0331 (0.0354) loss_seg: 0.0329 (0.0351) loss_lansim: 0.0259 (0.0240) loss_contra: 0.0001 (0.0010) time: 2.6277 data: 0.0052 max mem: 31630 Epoch: [37] [5120/5278] eta: 0:07:22 lr: 3.418326637333297e-06 loss: 0.0336 (0.0354) loss_seg: 0.0334 (0.0351) loss_lansim: 0.0262 (0.0240) loss_contra: 0.0001 (0.0010) time: 2.6276 data: 0.0052 max mem: 31630 Epoch: [37] [5130/5278] eta: 0:06:54 lr: 3.415454764272792e-06 loss: 0.0336 (0.0354) loss_seg: 0.0334 (0.0351) loss_lansim: 0.0259 (0.0240) loss_contra: 0.0001 (0.0010) time: 2.6277 data: 0.0052 max mem: 31630 Epoch: [37] [5140/5278] eta: 0:06:26 lr: 3.4125826228755894e-06 loss: 0.0337 (0.0354) loss_seg: 0.0335 (0.0351) loss_lansim: 0.0257 (0.0240) loss_contra: 0.0001 (0.0010) time: 2.6276 data: 0.0052 max mem: 31630 Epoch: [37] [5150/5278] eta: 0:05:58 lr: 3.409710212865644e-06 loss: 0.0339 (0.0354) loss_seg: 0.0337 (0.0351) loss_lansim: 0.0257 (0.0240) loss_contra: 0.0001 (0.0010) time: 2.6267 data: 0.0052 max mem: 31630 Epoch: [37] [5160/5278] eta: 0:05:30 lr: 3.4068375339663437e-06 loss: 0.0336 (0.0354) loss_seg: 0.0334 (0.0351) loss_lansim: 0.0255 (0.0240) loss_contra: 0.0001 (0.0010) time: 2.6268 data: 0.0052 max mem: 31630 Epoch: [37] [5170/5278] eta: 0:05:02 lr: 3.4039645859005562e-06 loss: 0.0327 (0.0353) loss_seg: 0.0324 (0.0351) loss_lansim: 0.0254 (0.0240) loss_contra: 0.0001 (0.0010) time: 2.6266 data: 0.0052 max mem: 31630 Epoch: [37] [5180/5278] eta: 0:04:34 lr: 3.4010913683905952e-06 loss: 0.0331 (0.0353) loss_seg: 0.0329 (0.0351) loss_lansim: 0.0251 (0.0240) loss_contra: 0.0001 (0.0010) time: 2.6267 data: 0.0052 max mem: 31630 Epoch: [37] [5190/5278] eta: 0:04:06 lr: 3.3982178811582324e-06 loss: 0.0336 (0.0353) loss_seg: 0.0334 (0.0351) loss_lansim: 0.0249 (0.0240) loss_contra: 0.0001 (0.0010) time: 2.6270 data: 0.0052 max mem: 31630 Epoch: [37] [5200/5278] eta: 0:03:38 lr: 3.395344123924673e-06 loss: 0.0336 (0.0353) loss_seg: 0.0334 (0.0351) loss_lansim: 0.0250 (0.0240) loss_contra: 0.0001 (0.0010) time: 2.6274 data: 0.0052 max mem: 31630 Epoch: [37] [5210/5278] eta: 0:03:10 lr: 3.3924700964105883e-06 loss: 0.0337 (0.0354) loss_seg: 0.0335 (0.0351) loss_lansim: 0.0249 (0.0240) loss_contra: 0.0001 (0.0010) time: 2.6271 data: 0.0052 max mem: 31630 Epoch: [37] [5220/5278] eta: 0:02:42 lr: 3.3895957983360933e-06 loss: 0.0346 (0.0354) loss_seg: 0.0344 (0.0351) loss_lansim: 0.0250 (0.0240) loss_contra: 0.0001 (0.0010) time: 2.6270 data: 0.0052 max mem: 31630 Epoch: [37] [5230/5278] eta: 0:02:14 lr: 3.386721229420755e-06 loss: 0.0342 (0.0354) loss_seg: 0.0340 (0.0351) loss_lansim: 0.0249 (0.0240) loss_contra: 0.0001 (0.0010) time: 2.6280 data: 0.0053 max mem: 31630 Epoch: [37] [5240/5278] eta: 0:01:46 lr: 3.383846389383566e-06 loss: 0.0338 (0.0354) loss_seg: 0.0335 (0.0351) loss_lansim: 0.0251 (0.0240) loss_contra: 0.0001 (0.0010) time: 2.6296 data: 0.0054 max mem: 31630 Epoch: [37] [5250/5278] eta: 0:01:18 lr: 3.380971277942979e-06 loss: 0.0337 (0.0354) loss_seg: 0.0335 (0.0351) loss_lansim: 0.0250 (0.0240) loss_contra: 0.0001 (0.0010) time: 2.6318 data: 0.0055 max mem: 31630 Epoch: [37] [5260/5278] eta: 0:00:50 lr: 3.3780958948168845e-06 loss: 0.0337 (0.0354) loss_seg: 0.0335 (0.0351) loss_lansim: 0.0251 (0.0240) loss_contra: 0.0001 (0.0010) time: 2.6329 data: 0.0056 max mem: 31630 Epoch: [37] [5270/5278] eta: 0:00:22 lr: 3.375220239722617e-06 loss: 0.0338 (0.0353) loss_seg: 0.0336 (0.0351) loss_lansim: 0.0250 (0.0240) loss_contra: 0.0001 (0.0010) time: 2.6338 data: 0.0056 max mem: 31630 Epoch: [37] Total time: 4:06:09 Test: [ 0/2573] eta: 1:43:31 time: 2.4140 data: 2.0226 max mem: 31630 Test: [ 100/2573] eta: 0:06:36 time: 0.1376 data: 0.0013 max mem: 31630 Test: [ 200/2573] eta: 0:05:59 time: 0.1427 data: 0.0014 max mem: 31630 Test: [ 300/2573] eta: 0:05:34 time: 0.1384 data: 0.0014 max mem: 31630 Test: [ 400/2573] eta: 0:05:16 time: 0.1407 data: 0.0014 max mem: 31630 Test: [ 500/2573] eta: 0:05:00 time: 0.1417 data: 0.0014 max mem: 31630 Test: [ 600/2573] eta: 0:04:45 time: 0.1431 data: 0.0014 max mem: 31630 Test: [ 700/2573] eta: 0:04:31 time: 0.1470 data: 0.0014 max mem: 31630 Test: [ 800/2573] eta: 0:04:16 time: 0.1443 data: 0.0014 max mem: 31630 Test: [ 900/2573] eta: 0:04:02 time: 0.1443 data: 0.0014 max mem: 31630 Test: [1000/2573] eta: 0:03:47 time: 0.1428 data: 0.0014 max mem: 31630 Test: [1100/2573] eta: 0:03:32 time: 0.1420 data: 0.0014 max mem: 31630 Test: [1200/2573] eta: 0:03:18 time: 0.1442 data: 0.0014 max mem: 31630 Test: [1300/2573] eta: 0:03:03 time: 0.1428 data: 0.0014 max mem: 31630 Test: [1400/2573] eta: 0:02:48 time: 0.1391 data: 0.0014 max mem: 31630 Test: [1500/2573] eta: 0:02:34 time: 0.1435 data: 0.0014 max mem: 31630 Test: [1600/2573] eta: 0:02:19 time: 0.1428 data: 0.0014 max mem: 31630 Test: [1700/2573] eta: 0:02:05 time: 0.1436 data: 0.0014 max mem: 31630 Test: [1800/2573] eta: 0:01:50 time: 0.1404 data: 0.0013 max mem: 31630 Test: [1900/2573] eta: 0:01:36 time: 0.1389 data: 0.0013 max mem: 31630 Test: [2000/2573] eta: 0:01:21 time: 0.1391 data: 0.0014 max mem: 31630 Test: [2100/2573] eta: 0:01:07 time: 0.1435 data: 0.0015 max mem: 31630 Test: [2200/2573] eta: 0:00:53 time: 0.1384 data: 0.0014 max mem: 31630 Test: [2300/2573] eta: 0:00:39 time: 0.1435 data: 0.0014 max mem: 31630 Test: [2400/2573] eta: 0:00:24 time: 0.1413 data: 0.0014 max mem: 31630 Test: [2500/2573] eta: 0:00:10 time: 0.1435 data: 0.0014 max mem: 31630 Test: Total time: 0:06:07 Final results: precision@0.5 = 70.92 precision@0.6 = 66.42 precision@0.7 = 60.64 precision@0.8 = 49.63 precision@0.9 = 24.92 overall IoU = 59.80 mean IoU = 62.78 Epoch: [38] [ 0/5278] eta: 6:20:48 lr: 3.3729195196397916e-06 loss: 0.0292 (0.0292) loss_seg: 0.0290 (0.0290) loss_lansim: 0.0271 (0.0271) loss_contra: 0.0001 (0.0001) time: 4.3290 data: 1.4685 max mem: 31630 Epoch: [38] [ 10/5278] eta: 4:06:07 lr: 3.3700433742886755e-06 loss: 0.0350 (0.0353) loss_seg: 0.0348 (0.0350) loss_lansim: 0.0238 (0.0245) loss_contra: 0.0002 (0.0013) time: 2.8033 data: 0.1385 max mem: 31630 Epoch: [38] [ 20/5278] eta: 3:59:25 lr: 3.367166956174899e-06 loss: 0.0296 (0.0310) loss_seg: 0.0294 (0.0308) loss_lansim: 0.0259 (0.0256) loss_contra: 0.0001 (0.0010) time: 2.7322 data: 0.0751 max mem: 31630 Epoch: [38] [ 30/5278] eta: 3:56:44 lr: 3.364290265013653e-06 loss: 0.0312 (0.0319) loss_seg: 0.0309 (0.0316) loss_lansim: 0.0271 (0.0263) loss_contra: 0.0001 (0.0008) time: 2.7066 data: 0.0528 max mem: 31630 Epoch: [38] [ 40/5278] eta: 3:54:59 lr: 3.3614133005195544e-06 loss: 0.0312 (0.0327) loss_seg: 0.0309 (0.0324) loss_lansim: 0.0267 (0.0261) loss_contra: 0.0001 (0.0007) time: 2.6918 data: 0.0413 max mem: 31630 Epoch: [38] [ 50/5278] eta: 3:53:47 lr: 3.3585360624066553e-06 loss: 0.0314 (0.0338) loss_seg: 0.0311 (0.0335) loss_lansim: 0.0267 (0.0262) loss_contra: 0.0001 (0.0006) time: 2.6831 data: 0.0343 max mem: 31630 Epoch: [38] [ 60/5278] eta: 3:52:46 lr: 3.3556585503884172e-06 loss: 0.0314 (0.0343) loss_seg: 0.0312 (0.0341) loss_lansim: 0.0270 (0.0264) loss_contra: 0.0001 (0.0005) time: 2.6766 data: 0.0296 max mem: 31630 Epoch: [38] [ 70/5278] eta: 3:51:53 lr: 3.3527807641777465e-06 loss: 0.0314 (0.0339) loss_seg: 0.0311 (0.0336) loss_lansim: 0.0265 (0.0264) loss_contra: 0.0001 (0.0005) time: 2.6716 data: 0.0261 max mem: 31630 Epoch: [38] [ 80/5278] eta: 3:51:06 lr: 3.3499027034869707e-06 loss: 0.0314 (0.0336) loss_seg: 0.0311 (0.0334) loss_lansim: 0.0261 (0.0262) loss_contra: 0.0001 (0.0005) time: 2.6677 data: 0.0236 max mem: 31630 Epoch: [38] [ 90/5278] eta: 3:50:27 lr: 3.3470243680278388e-06 loss: 0.0314 (0.0338) loss_seg: 0.0311 (0.0335) loss_lansim: 0.0264 (0.0262) loss_contra: 0.0001 (0.0007) time: 2.6652 data: 0.0215 max mem: 31630 Epoch: [38] [ 100/5278] eta: 3:49:48 lr: 3.3441457575115284e-06 loss: 0.0316 (0.0340) loss_seg: 0.0314 (0.0337) loss_lansim: 0.0261 (0.0261) loss_contra: 0.0001 (0.0007) time: 2.6463 data: 0.0054 max mem: 31630 Epoch: [38] [ 110/5278] eta: 3:49:11 lr: 3.341266871648616e-06 loss: 0.0319 (0.0339) loss_seg: 0.0316 (0.0336) loss_lansim: 0.0264 (0.0262) loss_contra: 0.0001 (0.0006) time: 2.6451 data: 0.0054 max mem: 31630 Epoch: [38] [ 120/5278] eta: 3:48:35 lr: 3.338387710149118e-06 loss: 0.0343 (0.0340) loss_seg: 0.0340 (0.0337) loss_lansim: 0.0260 (0.0261) loss_contra: 0.0001 (0.0007) time: 2.6438 data: 0.0054 max mem: 31630 Epoch: [38] [ 130/5278] eta: 3:48:02 lr: 3.335508272722459e-06 loss: 0.0348 (0.0342) loss_seg: 0.0345 (0.0340) loss_lansim: 0.0259 (0.0261) loss_contra: 0.0001 (0.0006) time: 2.6426 data: 0.0053 max mem: 31630 Epoch: [38] [ 140/5278] eta: 3:47:28 lr: 3.3326285590774853e-06 loss: 0.0343 (0.0341) loss_seg: 0.0340 (0.0338) loss_lansim: 0.0260 (0.0261) loss_contra: 0.0001 (0.0006) time: 2.6419 data: 0.0052 max mem: 31630 Epoch: [38] [ 150/5278] eta: 3:46:56 lr: 3.3297485689224367e-06 loss: 0.0344 (0.0347) loss_seg: 0.0341 (0.0344) loss_lansim: 0.0260 (0.0261) loss_contra: 0.0001 (0.0007) time: 2.6411 data: 0.0052 max mem: 31630 Epoch: [38] [ 160/5278] eta: 3:46:24 lr: 3.326868301964984e-06 loss: 0.0341 (0.0345) loss_seg: 0.0339 (0.0343) loss_lansim: 0.0260 (0.0261) loss_contra: 0.0001 (0.0006) time: 2.6407 data: 0.0051 max mem: 31630 Epoch: [38] [ 170/5278] eta: 3:45:53 lr: 3.3239877579121997e-06 loss: 0.0348 (0.0347) loss_seg: 0.0346 (0.0344) loss_lansim: 0.0261 (0.0261) loss_contra: 0.0001 (0.0006) time: 2.6405 data: 0.0051 max mem: 31630 Epoch: [38] [ 180/5278] eta: 3:45:23 lr: 3.321106936470571e-06 loss: 0.0348 (0.0347) loss_seg: 0.0346 (0.0344) loss_lansim: 0.0263 (0.0261) loss_contra: 0.0001 (0.0006) time: 2.6406 data: 0.0051 max mem: 31630 Epoch: [38] [ 190/5278] eta: 3:44:53 lr: 3.318225837345972e-06 loss: 0.0351 (0.0347) loss_seg: 0.0348 (0.0344) loss_lansim: 0.0263 (0.0262) loss_contra: 0.0001 (0.0006) time: 2.6401 data: 0.0050 max mem: 31630 Epoch: [38] [ 200/5278] eta: 3:44:24 lr: 3.315344460243701e-06 loss: 0.0348 (0.0347) loss_seg: 0.0345 (0.0344) loss_lansim: 0.0262 (0.0262) loss_contra: 0.0001 (0.0006) time: 2.6402 data: 0.0050 max mem: 31630 Epoch: [38] [ 210/5278] eta: 3:43:54 lr: 3.312462804868449e-06 loss: 0.0348 (0.0346) loss_seg: 0.0345 (0.0344) loss_lansim: 0.0259 (0.0261) loss_contra: 0.0001 (0.0006) time: 2.6398 data: 0.0050 max mem: 31630 Epoch: [38] [ 220/5278] eta: 3:43:24 lr: 3.309580870924318e-06 loss: 0.0336 (0.0348) loss_seg: 0.0334 (0.0345) loss_lansim: 0.0262 (0.0261) loss_contra: 0.0001 (0.0006) time: 2.6395 data: 0.0050 max mem: 31630 Epoch: [38] [ 230/5278] eta: 3:42:56 lr: 3.306698658114786e-06 loss: 0.0334 (0.0346) loss_seg: 0.0331 (0.0343) loss_lansim: 0.0260 (0.0260) loss_contra: 0.0001 (0.0006) time: 2.6394 data: 0.0050 max mem: 31630 Epoch: [38] [ 240/5278] eta: 3:42:28 lr: 3.303816166142749e-06 loss: 0.0334 (0.0345) loss_seg: 0.0331 (0.0342) loss_lansim: 0.0258 (0.0261) loss_contra: 0.0001 (0.0005) time: 2.6397 data: 0.0050 max mem: 31630 Epoch: [38] [ 250/5278] eta: 3:42:00 lr: 3.300933394710492e-06 loss: 0.0334 (0.0345) loss_seg: 0.0331 (0.0342) loss_lansim: 0.0258 (0.0261) loss_contra: 0.0001 (0.0005) time: 2.6400 data: 0.0050 max mem: 31630 Epoch: [38] [ 260/5278] eta: 3:41:33 lr: 3.2980503435196985e-06 loss: 0.0334 (0.0345) loss_seg: 0.0331 (0.0343) loss_lansim: 0.0256 (0.0261) loss_contra: 0.0001 (0.0005) time: 2.6409 data: 0.0050 max mem: 31630 Epoch: [38] [ 270/5278] eta: 3:41:08 lr: 3.2951670122714254e-06 loss: 0.0330 (0.0343) loss_seg: 0.0327 (0.0341) loss_lansim: 0.0256 (0.0261) loss_contra: 0.0001 (0.0005) time: 2.6425 data: 0.0050 max mem: 31630 Epoch: [38] [ 280/5278] eta: 3:40:41 lr: 3.2922834006661357e-06 loss: 0.0328 (0.0343) loss_seg: 0.0325 (0.0340) loss_lansim: 0.0256 (0.0262) loss_contra: 0.0001 (0.0005) time: 2.6433 data: 0.0051 max mem: 31630 Epoch: [38] [ 290/5278] eta: 3:40:15 lr: 3.2893995084036782e-06 loss: 0.0325 (0.0343) loss_seg: 0.0322 (0.0340) loss_lansim: 0.0255 (0.0262) loss_contra: 0.0001 (0.0005) time: 2.6443 data: 0.0051 max mem: 31630 Epoch: [38] [ 300/5278] eta: 3:39:48 lr: 3.2865153351832908e-06 loss: 0.0323 (0.0343) loss_seg: 0.0321 (0.0341) loss_lansim: 0.0258 (0.0263) loss_contra: 0.0001 (0.0005) time: 2.6448 data: 0.0051 max mem: 31630 Epoch: [38] [ 310/5278] eta: 3:39:21 lr: 3.283630880703576e-06 loss: 0.0325 (0.0343) loss_seg: 0.0322 (0.0341) loss_lansim: 0.0259 (0.0262) loss_contra: 0.0001 (0.0006) time: 2.6462 data: 0.0052 max mem: 31630 Epoch: [38] [ 320/5278] eta: 3:38:54 lr: 3.28074614466254e-06 loss: 0.0318 (0.0342) loss_seg: 0.0316 (0.0339) loss_lansim: 0.0259 (0.0262) loss_contra: 0.0001 (0.0006) time: 2.6467 data: 0.0052 max mem: 31630 Epoch: [38] [ 330/5278] eta: 3:38:27 lr: 3.2778611267575615e-06 loss: 0.0324 (0.0342) loss_seg: 0.0321 (0.0340) loss_lansim: 0.0259 (0.0263) loss_contra: 0.0001 (0.0006) time: 2.6471 data: 0.0052 max mem: 31630 Epoch: [38] [ 340/5278] eta: 3:38:00 lr: 3.2749758266853976e-06 loss: 0.0326 (0.0342) loss_seg: 0.0323 (0.0340) loss_lansim: 0.0259 (0.0263) loss_contra: 0.0001 (0.0006) time: 2.6477 data: 0.0052 max mem: 31630 Epoch: [38] [ 350/5278] eta: 3:37:33 lr: 3.272090244142189e-06 loss: 0.0324 (0.0342) loss_seg: 0.0321 (0.0340) loss_lansim: 0.0258 (0.0262) loss_contra: 0.0001 (0.0006) time: 2.6481 data: 0.0052 max mem: 31630 Epoch: [38] [ 360/5278] eta: 3:37:07 lr: 3.2692043788234308e-06 loss: 0.0316 (0.0342) loss_seg: 0.0313 (0.0339) loss_lansim: 0.0264 (0.0263) loss_contra: 0.0001 (0.0006) time: 2.6480 data: 0.0052 max mem: 31630 Epoch: [38] [ 370/5278] eta: 3:36:40 lr: 3.2663182304240114e-06 loss: 0.0316 (0.0341) loss_seg: 0.0313 (0.0338) loss_lansim: 0.0265 (0.0263) loss_contra: 0.0001 (0.0006) time: 2.6470 data: 0.0052 max mem: 31630 Epoch: [38] [ 380/5278] eta: 3:36:12 lr: 3.263431798638183e-06 loss: 0.0312 (0.0341) loss_seg: 0.0309 (0.0339) loss_lansim: 0.0265 (0.0263) loss_contra: 0.0001 (0.0006) time: 2.6465 data: 0.0052 max mem: 31630 Epoch: [38] [ 390/5278] eta: 3:35:45 lr: 3.260545083159573e-06 loss: 0.0316 (0.0341) loss_seg: 0.0313 (0.0338) loss_lansim: 0.0259 (0.0263) loss_contra: 0.0001 (0.0006) time: 2.6460 data: 0.0052 max mem: 31630 Epoch: [38] [ 400/5278] eta: 3:35:18 lr: 3.2576580836811575e-06 loss: 0.0318 (0.0341) loss_seg: 0.0315 (0.0338) loss_lansim: 0.0259 (0.0263) loss_contra: 0.0001 (0.0006) time: 2.6456 data: 0.0051 max mem: 31630 Epoch: [38] [ 410/5278] eta: 3:34:52 lr: 3.2547707998952946e-06 loss: 0.0318 (0.0341) loss_seg: 0.0315 (0.0338) loss_lansim: 0.0260 (0.0263) loss_contra: 0.0001 (0.0006) time: 2.6452 data: 0.0051 max mem: 31630 Epoch: [38] [ 420/5278] eta: 3:34:24 lr: 3.251883231493701e-06 loss: 0.0320 (0.0341) loss_seg: 0.0318 (0.0339) loss_lansim: 0.0260 (0.0263) loss_contra: 0.0001 (0.0006) time: 2.6451 data: 0.0050 max mem: 31630 Epoch: [38] [ 430/5278] eta: 3:33:58 lr: 3.2489953781674623e-06 loss: 0.0320 (0.0342) loss_seg: 0.0318 (0.0339) loss_lansim: 0.0259 (0.0263) loss_contra: 0.0001 (0.0006) time: 2.6453 data: 0.0050 max mem: 31630 Epoch: [38] [ 440/5278] eta: 3:33:31 lr: 3.2461072396070014e-06 loss: 0.0322 (0.0343) loss_seg: 0.0319 (0.0341) loss_lansim: 0.0260 (0.0263) loss_contra: 0.0001 (0.0006) time: 2.6451 data: 0.0050 max mem: 31630 Epoch: [38] [ 450/5278] eta: 3:33:04 lr: 3.2432188155021185e-06 loss: 0.0328 (0.0345) loss_seg: 0.0325 (0.0342) loss_lansim: 0.0266 (0.0263) loss_contra: 0.0001 (0.0006) time: 2.6451 data: 0.0050 max mem: 31630 Epoch: [38] [ 460/5278] eta: 3:32:38 lr: 3.240330105541963e-06 loss: 0.0333 (0.0346) loss_seg: 0.0330 (0.0343) loss_lansim: 0.0260 (0.0263) loss_contra: 0.0001 (0.0006) time: 2.6451 data: 0.0050 max mem: 31630 Epoch: [38] [ 470/5278] eta: 3:32:11 lr: 3.2374411094150458e-06 loss: 0.0332 (0.0345) loss_seg: 0.0330 (0.0342) loss_lansim: 0.0259 (0.0263) loss_contra: 0.0001 (0.0006) time: 2.6448 data: 0.0050 max mem: 31630 Epoch: [38] [ 480/5278] eta: 3:31:44 lr: 3.234551826809206e-06 loss: 0.0332 (0.0344) loss_seg: 0.0330 (0.0342) loss_lansim: 0.0258 (0.0263) loss_contra: 0.0001 (0.0006) time: 2.6450 data: 0.0050 max mem: 31630 Epoch: [38] [ 490/5278] eta: 3:31:17 lr: 3.2316622574116543e-06 loss: 0.0330 (0.0344) loss_seg: 0.0327 (0.0341) loss_lansim: 0.0260 (0.0263) loss_contra: 0.0001 (0.0006) time: 2.6448 data: 0.0050 max mem: 31630 Epoch: [38] [ 500/5278] eta: 3:30:50 lr: 3.2287724009089415e-06 loss: 0.0324 (0.0344) loss_seg: 0.0321 (0.0341) loss_lansim: 0.0253 (0.0262) loss_contra: 0.0001 (0.0006) time: 2.6450 data: 0.0051 max mem: 31630 Epoch: [38] [ 510/5278] eta: 3:30:24 lr: 3.2258822569869707e-06 loss: 0.0327 (0.0343) loss_seg: 0.0325 (0.0341) loss_lansim: 0.0253 (0.0262) loss_contra: 0.0001 (0.0006) time: 2.6448 data: 0.0050 max mem: 31630 Epoch: [38] [ 520/5278] eta: 3:29:56 lr: 3.222991825330967e-06 loss: 0.0323 (0.0343) loss_seg: 0.0320 (0.0340) loss_lansim: 0.0252 (0.0262) loss_contra: 0.0001 (0.0006) time: 2.6446 data: 0.0051 max mem: 31630 Epoch: [38] [ 530/5278] eta: 3:29:29 lr: 3.2201011056255186e-06 loss: 0.0324 (0.0344) loss_seg: 0.0321 (0.0341) loss_lansim: 0.0253 (0.0262) loss_contra: 0.0001 (0.0006) time: 2.6439 data: 0.0052 max mem: 31630 Epoch: [38] [ 540/5278] eta: 3:29:02 lr: 3.217210097554545e-06 loss: 0.0323 (0.0343) loss_seg: 0.0320 (0.0341) loss_lansim: 0.0252 (0.0262) loss_contra: 0.0001 (0.0007) time: 2.6437 data: 0.0053 max mem: 31630 Epoch: [38] [ 550/5278] eta: 3:28:35 lr: 3.21431880080131e-06 loss: 0.0316 (0.0343) loss_seg: 0.0313 (0.0340) loss_lansim: 0.0250 (0.0262) loss_contra: 0.0001 (0.0007) time: 2.6431 data: 0.0054 max mem: 31630 Epoch: [38] [ 560/5278] eta: 3:28:08 lr: 3.2114272150483923e-06 loss: 0.0313 (0.0343) loss_seg: 0.0311 (0.0340) loss_lansim: 0.0250 (0.0261) loss_contra: 0.0001 (0.0007) time: 2.6426 data: 0.0055 max mem: 31630 Epoch: [38] [ 570/5278] eta: 3:27:41 lr: 3.2085353399777245e-06 loss: 0.0313 (0.0342) loss_seg: 0.0311 (0.0340) loss_lansim: 0.0252 (0.0262) loss_contra: 0.0001 (0.0007) time: 2.6426 data: 0.0055 max mem: 31630 Epoch: [38] [ 580/5278] eta: 3:27:14 lr: 3.2056431752705625e-06 loss: 0.0313 (0.0343) loss_seg: 0.0311 (0.0340) loss_lansim: 0.0255 (0.0261) loss_contra: 0.0001 (0.0006) time: 2.6419 data: 0.0055 max mem: 31630 Epoch: [38] [ 590/5278] eta: 3:26:47 lr: 3.202750720607492e-06 loss: 0.0316 (0.0343) loss_seg: 0.0313 (0.0340) loss_lansim: 0.0255 (0.0261) loss_contra: 0.0001 (0.0006) time: 2.6413 data: 0.0055 max mem: 31630 Epoch: [38] [ 600/5278] eta: 3:26:20 lr: 3.1998579756684307e-06 loss: 0.0330 (0.0343) loss_seg: 0.0327 (0.0341) loss_lansim: 0.0258 (0.0261) loss_contra: 0.0001 (0.0006) time: 2.6406 data: 0.0055 max mem: 31630 Epoch: [38] [ 610/5278] eta: 3:25:53 lr: 3.1969649401326025e-06 loss: 0.0330 (0.0343) loss_seg: 0.0327 (0.0341) loss_lansim: 0.0257 (0.0261) loss_contra: 0.0001 (0.0006) time: 2.6401 data: 0.0055 max mem: 31630 Epoch: [38] [ 620/5278] eta: 3:25:26 lr: 3.1940716136785745e-06 loss: 0.0330 (0.0343) loss_seg: 0.0328 (0.0340) loss_lansim: 0.0255 (0.0261) loss_contra: 0.0001 (0.0006) time: 2.6399 data: 0.0054 max mem: 31630 Epoch: [38] [ 630/5278] eta: 3:24:59 lr: 3.1911779959842255e-06 loss: 0.0330 (0.0343) loss_seg: 0.0327 (0.0340) loss_lansim: 0.0256 (0.0261) loss_contra: 0.0001 (0.0006) time: 2.6401 data: 0.0054 max mem: 31630 Epoch: [38] [ 640/5278] eta: 3:24:32 lr: 3.1882840867267607e-06 loss: 0.0331 (0.0343) loss_seg: 0.0329 (0.0341) loss_lansim: 0.0256 (0.0261) loss_contra: 0.0001 (0.0006) time: 2.6399 data: 0.0053 max mem: 31630 Epoch: [38] [ 650/5278] eta: 3:24:05 lr: 3.1853898855826825e-06 loss: 0.0336 (0.0344) loss_seg: 0.0333 (0.0341) loss_lansim: 0.0257 (0.0261) loss_contra: 0.0001 (0.0006) time: 2.6397 data: 0.0051 max mem: 31630 Epoch: [38] [ 660/5278] eta: 3:23:38 lr: 3.182495392227825e-06 loss: 0.0333 (0.0343) loss_seg: 0.0330 (0.0341) loss_lansim: 0.0258 (0.0261) loss_contra: 0.0001 (0.0006) time: 2.6391 data: 0.0051 max mem: 31630 Epoch: [38] [ 670/5278] eta: 3:23:11 lr: 3.1796006063373303e-06 loss: 0.0333 (0.0343) loss_seg: 0.0330 (0.0340) loss_lansim: 0.0258 (0.0261) loss_contra: 0.0001 (0.0006) time: 2.6386 data: 0.0050 max mem: 31630 Epoch: [38] [ 680/5278] eta: 3:22:44 lr: 3.176705527585654e-06 loss: 0.0333 (0.0343) loss_seg: 0.0330 (0.0341) loss_lansim: 0.0258 (0.0261) loss_contra: 0.0001 (0.0006) time: 2.6386 data: 0.0051 max mem: 31630 Epoch: [38] [ 690/5278] eta: 3:22:17 lr: 3.173810155646542e-06 loss: 0.0333 (0.0343) loss_seg: 0.0330 (0.0341) loss_lansim: 0.0258 (0.0261) loss_contra: 0.0001 (0.0006) time: 2.6385 data: 0.0050 max mem: 31630 Epoch: [38] [ 700/5278] eta: 3:21:50 lr: 3.1709144901930653e-06 loss: 0.0325 (0.0343) loss_seg: 0.0322 (0.0340) loss_lansim: 0.0259 (0.0262) loss_contra: 0.0001 (0.0006) time: 2.6382 data: 0.0050 max mem: 31630 Epoch: [38] [ 710/5278] eta: 3:21:23 lr: 3.1680185308975903e-06 loss: 0.0326 (0.0343) loss_seg: 0.0324 (0.0341) loss_lansim: 0.0262 (0.0262) loss_contra: 0.0001 (0.0006) time: 2.6387 data: 0.0051 max mem: 31630 Epoch: [38] [ 720/5278] eta: 3:20:57 lr: 3.165122277431791e-06 loss: 0.0326 (0.0343) loss_seg: 0.0324 (0.0341) loss_lansim: 0.0262 (0.0262) loss_contra: 0.0001 (0.0006) time: 2.6390 data: 0.0051 max mem: 31630 Epoch: [38] [ 730/5278] eta: 3:20:30 lr: 3.1622257294666216e-06 loss: 0.0325 (0.0343) loss_seg: 0.0322 (0.0340) loss_lansim: 0.0262 (0.0261) loss_contra: 0.0001 (0.0006) time: 2.6387 data: 0.0051 max mem: 31630 Epoch: [38] [ 740/5278] eta: 3:20:03 lr: 3.159328886672354e-06 loss: 0.0323 (0.0343) loss_seg: 0.0320 (0.0340) loss_lansim: 0.0262 (0.0262) loss_contra: 0.0001 (0.0006) time: 2.6382 data: 0.0051 max mem: 31630 Epoch: [38] [ 750/5278] eta: 3:19:36 lr: 3.156431748718544e-06 loss: 0.0322 (0.0343) loss_seg: 0.0319 (0.0341) loss_lansim: 0.0263 (0.0262) loss_contra: 0.0001 (0.0006) time: 2.6380 data: 0.0051 max mem: 31630 Epoch: [38] [ 760/5278] eta: 3:19:09 lr: 3.1535343152740503e-06 loss: 0.0322 (0.0343) loss_seg: 0.0319 (0.0340) loss_lansim: 0.0262 (0.0262) loss_contra: 0.0001 (0.0006) time: 2.6380 data: 0.0051 max mem: 31630 Epoch: [38] [ 770/5278] eta: 3:18:42 lr: 3.150636586006999e-06 loss: 0.0325 (0.0343) loss_seg: 0.0322 (0.0340) loss_lansim: 0.0263 (0.0262) loss_contra: 0.0001 (0.0006) time: 2.6381 data: 0.0051 max mem: 31630 Epoch: [38] [ 780/5278] eta: 3:18:15 lr: 3.147738560584826e-06 loss: 0.0326 (0.0343) loss_seg: 0.0323 (0.0340) loss_lansim: 0.0264 (0.0262) loss_contra: 0.0001 (0.0006) time: 2.6381 data: 0.0051 max mem: 31630 Epoch: [38] [ 790/5278] eta: 3:17:48 lr: 3.1448402386742437e-06 loss: 0.0327 (0.0343) loss_seg: 0.0324 (0.0340) loss_lansim: 0.0264 (0.0262) loss_contra: 0.0001 (0.0006) time: 2.6381 data: 0.0051 max mem: 31630 Epoch: [38] [ 800/5278] eta: 3:17:21 lr: 3.141941619941257e-06 loss: 0.0326 (0.0343) loss_seg: 0.0323 (0.0340) loss_lansim: 0.0264 (0.0262) loss_contra: 0.0001 (0.0006) time: 2.6382 data: 0.0051 max mem: 31630 Epoch: [38] [ 810/5278] eta: 3:16:55 lr: 3.139042704051129e-06 loss: 0.0320 (0.0343) loss_seg: 0.0317 (0.0340) loss_lansim: 0.0264 (0.0262) loss_contra: 0.0001 (0.0006) time: 2.6378 data: 0.0051 max mem: 31630 Epoch: [38] [ 820/5278] eta: 3:16:28 lr: 3.1361434906684237e-06 loss: 0.0326 (0.0343) loss_seg: 0.0323 (0.0340) loss_lansim: 0.0269 (0.0263) loss_contra: 0.0001 (0.0006) time: 2.6373 data: 0.0050 max mem: 31630 Epoch: [38] [ 830/5278] eta: 3:16:01 lr: 3.1332439794569733e-06 loss: 0.0337 (0.0344) loss_seg: 0.0333 (0.0341) loss_lansim: 0.0269 (0.0263) loss_contra: 0.0001 (0.0006) time: 2.6374 data: 0.0050 max mem: 31630 Epoch: [38] [ 840/5278] eta: 3:15:34 lr: 3.130344170079886e-06 loss: 0.0338 (0.0344) loss_seg: 0.0335 (0.0341) loss_lansim: 0.0268 (0.0263) loss_contra: 0.0001 (0.0006) time: 2.6377 data: 0.0050 max mem: 31630 Epoch: [38] [ 850/5278] eta: 3:15:08 lr: 3.1274440621995456e-06 loss: 0.0338 (0.0344) loss_seg: 0.0335 (0.0341) loss_lansim: 0.0268 (0.0263) loss_contra: 0.0001 (0.0006) time: 2.6379 data: 0.0051 max mem: 31630 Epoch: [38] [ 860/5278] eta: 3:14:41 lr: 3.1245436554775872e-06 loss: 0.0338 (0.0344) loss_seg: 0.0335 (0.0341) loss_lansim: 0.0269 (0.0263) loss_contra: 0.0001 (0.0006) time: 2.6382 data: 0.0051 max mem: 31630 Epoch: [38] [ 870/5278] eta: 3:14:14 lr: 3.1216429495749322e-06 loss: 0.0339 (0.0344) loss_seg: 0.0335 (0.0341) loss_lansim: 0.0269 (0.0263) loss_contra: 0.0001 (0.0006) time: 2.6384 data: 0.0051 max mem: 31630 Epoch: [38] [ 880/5278] eta: 3:13:48 lr: 3.118741944151761e-06 loss: 0.0338 (0.0344) loss_seg: 0.0335 (0.0341) loss_lansim: 0.0269 (0.0263) loss_contra: 0.0001 (0.0006) time: 2.6387 data: 0.0052 max mem: 31630 Epoch: [38] [ 890/5278] eta: 3:13:21 lr: 3.115840638867523e-06 loss: 0.0337 (0.0344) loss_seg: 0.0334 (0.0341) loss_lansim: 0.0269 (0.0263) loss_contra: 0.0001 (0.0006) time: 2.6393 data: 0.0052 max mem: 31630 Epoch: [38] [ 900/5278] eta: 3:12:55 lr: 3.112939033380905e-06 loss: 0.0339 (0.0344) loss_seg: 0.0335 (0.0341) loss_lansim: 0.0271 (0.0264) loss_contra: 0.0001 (0.0006) time: 2.6395 data: 0.0052 max mem: 31630 Epoch: [38] [ 910/5278] eta: 3:12:28 lr: 3.1100371273498754e-06 loss: 0.0336 (0.0343) loss_seg: 0.0333 (0.0341) loss_lansim: 0.0274 (0.0264) loss_contra: 0.0001 (0.0006) time: 2.6394 data: 0.0052 max mem: 31630 Epoch: [38] [ 920/5278] eta: 3:12:01 lr: 3.1071349204316483e-06 loss: 0.0329 (0.0343) loss_seg: 0.0327 (0.0341) loss_lansim: 0.0271 (0.0264) loss_contra: 0.0001 (0.0006) time: 2.6395 data: 0.0052 max mem: 31630 Epoch: [38] [ 930/5278] eta: 3:11:34 lr: 3.1042324122826986e-06 loss: 0.0329 (0.0343) loss_seg: 0.0325 (0.0341) loss_lansim: 0.0274 (0.0264) loss_contra: 0.0001 (0.0006) time: 2.6394 data: 0.0052 max mem: 31630 Epoch: [38] [ 940/5278] eta: 3:11:08 lr: 3.101329602558731e-06 loss: 0.0328 (0.0343) loss_seg: 0.0325 (0.0341) loss_lansim: 0.0277 (0.0264) loss_contra: 0.0001 (0.0006) time: 2.6396 data: 0.0052 max mem: 31630 Epoch: [38] [ 950/5278] eta: 3:10:41 lr: 3.0984264909147185e-06 loss: 0.0329 (0.0344) loss_seg: 0.0325 (0.0341) loss_lansim: 0.0282 (0.0265) loss_contra: 0.0001 (0.0006) time: 2.6395 data: 0.0052 max mem: 31630 Epoch: [38] [ 960/5278] eta: 3:10:15 lr: 3.095523077004873e-06 loss: 0.0329 (0.0344) loss_seg: 0.0325 (0.0341) loss_lansim: 0.0282 (0.0265) loss_contra: 0.0001 (0.0006) time: 2.6399 data: 0.0052 max mem: 31630 Epoch: [38] [ 970/5278] eta: 3:09:52 lr: 3.0926193604826565e-06 loss: 0.0328 (0.0343) loss_seg: 0.0325 (0.0341) loss_lansim: 0.0279 (0.0265) loss_contra: 0.0001 (0.0006) time: 2.6480 data: 0.0051 max mem: 31630 Epoch: [38] [ 980/5278] eta: 3:09:28 lr: 3.0897153410007516e-06 loss: 0.0328 (0.0344) loss_seg: 0.0325 (0.0341) loss_lansim: 0.0279 (0.0265) loss_contra: 0.0001 (0.0006) time: 2.6548 data: 0.0051 max mem: 31630 Epoch: [38] [ 990/5278] eta: 3:09:04 lr: 3.086811018211098e-06 loss: 0.0328 (0.0343) loss_seg: 0.0325 (0.0341) loss_lansim: 0.0279 (0.0265) loss_contra: 0.0001 (0.0006) time: 2.6613 data: 0.0051 max mem: 31630 Epoch: [38] [1000/5278] eta: 3:08:40 lr: 3.0839063917648668e-06 loss: 0.0329 (0.0344) loss_seg: 0.0327 (0.0341) loss_lansim: 0.0281 (0.0265) loss_contra: 0.0001 (0.0006) time: 2.6673 data: 0.0051 max mem: 31630 Epoch: [38] [1010/5278] eta: 3:08:16 lr: 3.0810014613124666e-06 loss: 0.0335 (0.0344) loss_seg: 0.0331 (0.0341) loss_lansim: 0.0279 (0.0266) loss_contra: 0.0001 (0.0006) time: 2.6728 data: 0.0051 max mem: 31630 Epoch: [38] [1020/5278] eta: 3:07:51 lr: 3.0780962265035186e-06 loss: 0.0335 (0.0344) loss_seg: 0.0331 (0.0341) loss_lansim: 0.0280 (0.0266) loss_contra: 0.0001 (0.0006) time: 2.6786 data: 0.0051 max mem: 31630 Epoch: [38] [1030/5278] eta: 3:07:27 lr: 3.075190686986892e-06 loss: 0.0335 (0.0345) loss_seg: 0.0331 (0.0342) loss_lansim: 0.0280 (0.0266) loss_contra: 0.0001 (0.0006) time: 2.6861 data: 0.0051 max mem: 31630 Epoch: [38] [1040/5278] eta: 3:07:03 lr: 3.0722848424106743e-06 loss: 0.0336 (0.0345) loss_seg: 0.0333 (0.0343) loss_lansim: 0.0280 (0.0266) loss_contra: 0.0001 (0.0006) time: 2.6929 data: 0.0051 max mem: 31630 Epoch: [38] [1050/5278] eta: 3:06:39 lr: 3.0693786924221832e-06 loss: 0.0335 (0.0346) loss_seg: 0.0331 (0.0343) loss_lansim: 0.0278 (0.0266) loss_contra: 0.0001 (0.0006) time: 2.6991 data: 0.0051 max mem: 31630 Epoch: [38] [1060/5278] eta: 3:06:15 lr: 3.066472236667938e-06 loss: 0.0335 (0.0345) loss_seg: 0.0331 (0.0343) loss_lansim: 0.0276 (0.0266) loss_contra: 0.0001 (0.0006) time: 2.7049 data: 0.0052 max mem: 31630 Epoch: [38] [1070/5278] eta: 3:05:50 lr: 3.063565474793695e-06 loss: 0.0347 (0.0346) loss_seg: 0.0344 (0.0343) loss_lansim: 0.0278 (0.0266) loss_contra: 0.0001 (0.0006) time: 2.7015 data: 0.0051 max mem: 31630 Epoch: [38] [1080/5278] eta: 3:05:28 lr: 3.0606584064444207e-06 loss: 0.0350 (0.0346) loss_seg: 0.0347 (0.0343) loss_lansim: 0.0279 (0.0267) loss_contra: 0.0001 (0.0006) time: 2.7078 data: 0.0051 max mem: 31630 Epoch: [38] [1090/5278] eta: 3:05:02 lr: 3.057751031264294e-06 loss: 0.0347 (0.0346) loss_seg: 0.0344 (0.0343) loss_lansim: 0.0275 (0.0267) loss_contra: 0.0001 (0.0006) time: 2.7049 data: 0.0051 max mem: 31630 Epoch: [38] [1100/5278] eta: 3:04:42 lr: 3.0548433488967102e-06 loss: 0.0342 (0.0346) loss_seg: 0.0339 (0.0343) loss_lansim: 0.0274 (0.0267) loss_contra: 0.0001 (0.0006) time: 2.7170 data: 0.0052 max mem: 31630 Epoch: [38] [1110/5278] eta: 3:04:16 lr: 3.0519353589842545e-06 loss: 0.0345 (0.0345) loss_seg: 0.0342 (0.0343) loss_lansim: 0.0274 (0.0267) loss_contra: 0.0001 (0.0006) time: 2.7140 data: 0.0052 max mem: 31630 Epoch: [38] [1120/5278] eta: 3:03:55 lr: 3.0490270611687355e-06 loss: 0.0347 (0.0346) loss_seg: 0.0344 (0.0343) loss_lansim: 0.0274 (0.0267) loss_contra: 0.0001 (0.0007) time: 2.7233 data: 0.0051 max mem: 31630 Epoch: [38] [1130/5278] eta: 3:03:29 lr: 3.046118455091158e-06 loss: 0.0349 (0.0346) loss_seg: 0.0347 (0.0343) loss_lansim: 0.0274 (0.0267) loss_contra: 0.0001 (0.0007) time: 2.7185 data: 0.0052 max mem: 31630 Epoch: [38] [1140/5278] eta: 3:03:08 lr: 3.043209540391736e-06 loss: 0.0347 (0.0346) loss_seg: 0.0344 (0.0343) loss_lansim: 0.0276 (0.0267) loss_contra: 0.0001 (0.0007) time: 2.7298 data: 0.0052 max mem: 31630 Epoch: [38] [1150/5278] eta: 3:02:42 lr: 3.0403003167098566e-06 loss: 0.0337 (0.0345) loss_seg: 0.0335 (0.0343) loss_lansim: 0.0277 (0.0267) loss_contra: 0.0001 (0.0007) time: 2.7257 data: 0.0052 max mem: 31630 Epoch: [38] [1160/5278] eta: 3:02:20 lr: 3.037390783684126e-06 loss: 0.0336 (0.0346) loss_seg: 0.0333 (0.0343) loss_lansim: 0.0277 (0.0268) loss_contra: 0.0001 (0.0007) time: 2.7353 data: 0.0052 max mem: 31630 Epoch: [38] [1170/5278] eta: 3:01:54 lr: 3.0344809409523334e-06 loss: 0.0332 (0.0345) loss_seg: 0.0329 (0.0343) loss_lansim: 0.0277 (0.0268) loss_contra: 0.0001 (0.0007) time: 2.7330 data: 0.0052 max mem: 31630 Epoch: [38] [1180/5278] eta: 3:01:33 lr: 3.0315707881514646e-06 loss: 0.0332 (0.0346) loss_seg: 0.0329 (0.0343) loss_lansim: 0.0277 (0.0268) loss_contra: 0.0001 (0.0007) time: 2.7383 data: 0.0052 max mem: 31630 Epoch: [38] [1190/5278] eta: 3:01:07 lr: 3.028660324917672e-06 loss: 0.0332 (0.0346) loss_seg: 0.0329 (0.0343) loss_lansim: 0.0278 (0.0268) loss_contra: 0.0001 (0.0007) time: 2.7363 data: 0.0052 max mem: 31630 Epoch: [38] [1200/5278] eta: 3:00:45 lr: 3.0257495508863137e-06 loss: 0.0332 (0.0345) loss_seg: 0.0329 (0.0343) loss_lansim: 0.0278 (0.0268) loss_contra: 0.0001 (0.0007) time: 2.7349 data: 0.0052 max mem: 31630 Epoch: [38] [1210/5278] eta: 3:00:19 lr: 3.02283846569192e-06 loss: 0.0332 (0.0345) loss_seg: 0.0329 (0.0342) loss_lansim: 0.0277 (0.0268) loss_contra: 0.0001 (0.0007) time: 2.7351 data: 0.0052 max mem: 31630 Epoch: [38] [1220/5278] eta: 2:59:57 lr: 3.0199270689682082e-06 loss: 0.0327 (0.0345) loss_seg: 0.0324 (0.0342) loss_lansim: 0.0278 (0.0268) loss_contra: 0.0001 (0.0007) time: 2.7366 data: 0.0052 max mem: 31630 Epoch: [38] [1230/5278] eta: 2:59:31 lr: 3.017015360348051e-06 loss: 0.0316 (0.0345) loss_seg: 0.0312 (0.0342) loss_lansim: 0.0277 (0.0268) loss_contra: 0.0001 (0.0007) time: 2.7375 data: 0.0052 max mem: 31630 Epoch: [38] [1240/5278] eta: 2:59:07 lr: 3.0141033394635147e-06 loss: 0.0318 (0.0345) loss_seg: 0.0316 (0.0342) loss_lansim: 0.0277 (0.0268) loss_contra: 0.0001 (0.0007) time: 2.7298 data: 0.0052 max mem: 31630 Epoch: [38] [1250/5278] eta: 2:58:40 lr: 3.011191005945829e-06 loss: 0.0327 (0.0345) loss_seg: 0.0324 (0.0342) loss_lansim: 0.0277 (0.0268) loss_contra: 0.0001 (0.0007) time: 2.7299 data: 0.0052 max mem: 31630 Epoch: [38] [1260/5278] eta: 2:58:15 lr: 3.0082783594253986e-06 loss: 0.0321 (0.0345) loss_seg: 0.0318 (0.0342) loss_lansim: 0.0277 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.7223 data: 0.0052 max mem: 31630 Epoch: [38] [1270/5278] eta: 2:57:49 lr: 3.0053653995317724e-06 loss: 0.0321 (0.0345) loss_seg: 0.0318 (0.0342) loss_lansim: 0.0281 (0.0269) loss_contra: 0.0001 (0.0006) time: 2.7243 data: 0.0053 max mem: 31630 Epoch: [38] [1280/5278] eta: 2:57:24 lr: 3.002452125893681e-06 loss: 0.0312 (0.0344) loss_seg: 0.0310 (0.0342) loss_lansim: 0.0278 (0.0269) loss_contra: 0.0001 (0.0006) time: 2.7114 data: 0.0052 max mem: 31630 Epoch: [38] [1290/5278] eta: 2:56:59 lr: 2.999538538139009e-06 loss: 0.0311 (0.0344) loss_seg: 0.0309 (0.0342) loss_lansim: 0.0282 (0.0269) loss_contra: 0.0001 (0.0006) time: 2.7176 data: 0.0053 max mem: 31630 Epoch: [38] [1300/5278] eta: 2:56:33 lr: 2.996624635894804e-06 loss: 0.0318 (0.0344) loss_seg: 0.0316 (0.0342) loss_lansim: 0.0282 (0.0269) loss_contra: 0.0001 (0.0006) time: 2.7041 data: 0.0053 max mem: 31630 Epoch: [38] [1310/5278] eta: 2:56:08 lr: 2.9937104187872453e-06 loss: 0.0318 (0.0344) loss_seg: 0.0315 (0.0342) loss_lansim: 0.0285 (0.0269) loss_contra: 0.0001 (0.0006) time: 2.7097 data: 0.0053 max mem: 31630 Epoch: [38] [1320/5278] eta: 2:55:42 lr: 2.990795886441686e-06 loss: 0.0313 (0.0344) loss_seg: 0.0310 (0.0341) loss_lansim: 0.0284 (0.0269) loss_contra: 0.0001 (0.0006) time: 2.6987 data: 0.0053 max mem: 31630 Epoch: [38] [1330/5278] eta: 2:55:18 lr: 2.9878810384826185e-06 loss: 0.0313 (0.0344) loss_seg: 0.0310 (0.0341) loss_lansim: 0.0284 (0.0269) loss_contra: 0.0001 (0.0006) time: 2.7068 data: 0.0053 max mem: 31630 Epoch: [38] [1340/5278] eta: 2:54:53 lr: 2.984965874533681e-06 loss: 0.0312 (0.0344) loss_seg: 0.0309 (0.0341) loss_lansim: 0.0274 (0.0269) loss_contra: 0.0001 (0.0006) time: 2.7031 data: 0.0054 max mem: 31630 Epoch: [38] [1350/5278] eta: 2:54:29 lr: 2.982050394217661e-06 loss: 0.0313 (0.0344) loss_seg: 0.0310 (0.0341) loss_lansim: 0.0279 (0.0269) loss_contra: 0.0001 (0.0006) time: 2.7136 data: 0.0054 max mem: 31630 Epoch: [38] [1360/5278] eta: 2:54:04 lr: 2.9791345971564635e-06 loss: 0.0313 (0.0344) loss_seg: 0.0310 (0.0341) loss_lansim: 0.0275 (0.0269) loss_contra: 0.0001 (0.0006) time: 2.7136 data: 0.0054 max mem: 31630 Epoch: [38] [1370/5278] eta: 2:53:40 lr: 2.9762184829711532e-06 loss: 0.0313 (0.0344) loss_seg: 0.0310 (0.0341) loss_lansim: 0.0276 (0.0270) loss_contra: 0.0001 (0.0006) time: 2.7223 data: 0.0054 max mem: 31630 Epoch: [38] [1380/5278] eta: 2:53:15 lr: 2.973302051281919e-06 loss: 0.0313 (0.0344) loss_seg: 0.0310 (0.0341) loss_lansim: 0.0273 (0.0269) loss_contra: 0.0001 (0.0006) time: 2.7241 data: 0.0055 max mem: 31630 Epoch: [38] [1390/5278] eta: 2:52:51 lr: 2.9703853017080885e-06 loss: 0.0313 (0.0343) loss_seg: 0.0310 (0.0341) loss_lansim: 0.0273 (0.0270) loss_contra: 0.0001 (0.0006) time: 2.7290 data: 0.0056 max mem: 31630 Epoch: [38] [1400/5278] eta: 2:52:26 lr: 2.967468233868096e-06 loss: 0.0313 (0.0344) loss_seg: 0.0309 (0.0341) loss_lansim: 0.0274 (0.0270) loss_contra: 0.0001 (0.0006) time: 2.7326 data: 0.0057 max mem: 31630 Epoch: [38] [1410/5278] eta: 2:52:01 lr: 2.9645508473795212e-06 loss: 0.0321 (0.0344) loss_seg: 0.0318 (0.0341) loss_lansim: 0.0272 (0.0270) loss_contra: 0.0001 (0.0006) time: 2.7359 data: 0.0057 max mem: 31630 Epoch: [38] [1420/5278] eta: 2:51:36 lr: 2.9616331418590587e-06 loss: 0.0322 (0.0344) loss_seg: 0.0319 (0.0341) loss_lansim: 0.0271 (0.0270) loss_contra: 0.0001 (0.0006) time: 2.7378 data: 0.0057 max mem: 31630 Epoch: [38] [1430/5278] eta: 2:51:12 lr: 2.958715116922529e-06 loss: 0.0327 (0.0344) loss_seg: 0.0324 (0.0341) loss_lansim: 0.0271 (0.0270) loss_contra: 0.0001 (0.0006) time: 2.7388 data: 0.0057 max mem: 31630 Epoch: [38] [1440/5278] eta: 2:50:46 lr: 2.9557967721848474e-06 loss: 0.0324 (0.0344) loss_seg: 0.0321 (0.0341) loss_lansim: 0.0273 (0.0270) loss_contra: 0.0001 (0.0006) time: 2.7381 data: 0.0057 max mem: 31630 Epoch: [38] [1450/5278] eta: 2:50:22 lr: 2.9528781072600633e-06 loss: 0.0324 (0.0344) loss_seg: 0.0321 (0.0341) loss_lansim: 0.0273 (0.0270) loss_contra: 0.0001 (0.0006) time: 2.7378 data: 0.0057 max mem: 31630 Epoch: [38] [1460/5278] eta: 2:49:56 lr: 2.9499591217613276e-06 loss: 0.0327 (0.0344) loss_seg: 0.0324 (0.0341) loss_lansim: 0.0273 (0.0270) loss_contra: 0.0001 (0.0006) time: 2.7349 data: 0.0057 max mem: 31630 Epoch: [38] [1470/5278] eta: 2:49:32 lr: 2.9470398153009064e-06 loss: 0.0329 (0.0343) loss_seg: 0.0326 (0.0341) loss_lansim: 0.0273 (0.0270) loss_contra: 0.0001 (0.0006) time: 2.7377 data: 0.0057 max mem: 31630 Epoch: [38] [1480/5278] eta: 2:49:06 lr: 2.944120187490148e-06 loss: 0.0329 (0.0343) loss_seg: 0.0326 (0.0341) loss_lansim: 0.0273 (0.0270) loss_contra: 0.0001 (0.0006) time: 2.7347 data: 0.0056 max mem: 31630 Epoch: [38] [1490/5278] eta: 2:48:42 lr: 2.941200237939522e-06 loss: 0.0327 (0.0343) loss_seg: 0.0324 (0.0340) loss_lansim: 0.0273 (0.0270) loss_contra: 0.0001 (0.0006) time: 2.7354 data: 0.0055 max mem: 31630 Epoch: [38] [1500/5278] eta: 2:48:15 lr: 2.9382799662585884e-06 loss: 0.0329 (0.0344) loss_seg: 0.0326 (0.0341) loss_lansim: 0.0272 (0.0270) loss_contra: 0.0001 (0.0006) time: 2.7326 data: 0.0054 max mem: 31630 Epoch: [38] [1510/5278] eta: 2:47:52 lr: 2.9353593720560095e-06 loss: 0.0327 (0.0343) loss_seg: 0.0324 (0.0341) loss_lansim: 0.0273 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7381 data: 0.0054 max mem: 31630 Epoch: [38] [1520/5278] eta: 2:47:25 lr: 2.932438454939518e-06 loss: 0.0327 (0.0343) loss_seg: 0.0324 (0.0341) loss_lansim: 0.0273 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7332 data: 0.0054 max mem: 31630 Epoch: [38] [1530/5278] eta: 2:47:01 lr: 2.9295172145159545e-06 loss: 0.0327 (0.0344) loss_seg: 0.0324 (0.0341) loss_lansim: 0.0277 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7373 data: 0.0054 max mem: 31630 Epoch: [38] [1540/5278] eta: 2:46:34 lr: 2.9265956503912383e-06 loss: 0.0329 (0.0344) loss_seg: 0.0327 (0.0341) loss_lansim: 0.0276 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7331 data: 0.0054 max mem: 31630 Epoch: [38] [1550/5278] eta: 2:46:11 lr: 2.9236737621703785e-06 loss: 0.0337 (0.0344) loss_seg: 0.0334 (0.0341) loss_lansim: 0.0272 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7387 data: 0.0054 max mem: 31630 Epoch: [38] [1560/5278] eta: 2:45:44 lr: 2.920751549457442e-06 loss: 0.0329 (0.0344) loss_seg: 0.0326 (0.0341) loss_lansim: 0.0274 (0.0271) loss_contra: 0.0001 (0.0007) time: 2.7353 data: 0.0054 max mem: 31630 Epoch: [38] [1570/5278] eta: 2:45:20 lr: 2.9178290118555902e-06 loss: 0.0329 (0.0344) loss_seg: 0.0326 (0.0341) loss_lansim: 0.0270 (0.0271) loss_contra: 0.0001 (0.0007) time: 2.7346 data: 0.0054 max mem: 31630 Epoch: [38] [1580/5278] eta: 2:44:53 lr: 2.9149061489670525e-06 loss: 0.0332 (0.0344) loss_seg: 0.0329 (0.0341) loss_lansim: 0.0270 (0.0271) loss_contra: 0.0001 (0.0007) time: 2.7323 data: 0.0054 max mem: 31630 Epoch: [38] [1590/5278] eta: 2:44:29 lr: 2.911982960393126e-06 loss: 0.0332 (0.0343) loss_seg: 0.0329 (0.0341) loss_lansim: 0.0275 (0.0271) loss_contra: 0.0001 (0.0007) time: 2.7365 data: 0.0054 max mem: 31630 Epoch: [38] [1600/5278] eta: 2:44:03 lr: 2.9090594457341815e-06 loss: 0.0328 (0.0343) loss_seg: 0.0324 (0.0341) loss_lansim: 0.0277 (0.0271) loss_contra: 0.0001 (0.0007) time: 2.7358 data: 0.0054 max mem: 31630 Epoch: [38] [1610/5278] eta: 2:43:39 lr: 2.906135604589631e-06 loss: 0.0330 (0.0344) loss_seg: 0.0327 (0.0341) loss_lansim: 0.0277 (0.0271) loss_contra: 0.0001 (0.0007) time: 2.7353 data: 0.0054 max mem: 31630 Epoch: [38] [1620/5278] eta: 2:43:12 lr: 2.903211436557968e-06 loss: 0.0332 (0.0343) loss_seg: 0.0329 (0.0341) loss_lansim: 0.0277 (0.0271) loss_contra: 0.0001 (0.0007) time: 2.7365 data: 0.0054 max mem: 31630 Epoch: [38] [1630/5278] eta: 2:42:47 lr: 2.900286941236734e-06 loss: 0.0330 (0.0343) loss_seg: 0.0326 (0.0341) loss_lansim: 0.0275 (0.0271) loss_contra: 0.0001 (0.0007) time: 2.7333 data: 0.0054 max mem: 31630 Epoch: [38] [1640/5278] eta: 2:42:21 lr: 2.8973621182225312e-06 loss: 0.0326 (0.0343) loss_seg: 0.0324 (0.0341) loss_lansim: 0.0275 (0.0271) loss_contra: 0.0001 (0.0007) time: 2.7359 data: 0.0054 max mem: 31630 Epoch: [38] [1650/5278] eta: 2:41:56 lr: 2.8944369671109915e-06 loss: 0.0330 (0.0344) loss_seg: 0.0326 (0.0341) loss_lansim: 0.0277 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7331 data: 0.0054 max mem: 31630 Epoch: [38] [1660/5278] eta: 2:41:30 lr: 2.891511487496811e-06 loss: 0.0332 (0.0344) loss_seg: 0.0329 (0.0341) loss_lansim: 0.0274 (0.0271) loss_contra: 0.0001 (0.0007) time: 2.7374 data: 0.0054 max mem: 31630 Epoch: [38] [1670/5278] eta: 2:41:05 lr: 2.8885856789737263e-06 loss: 0.0331 (0.0344) loss_seg: 0.0329 (0.0341) loss_lansim: 0.0277 (0.0271) loss_contra: 0.0001 (0.0007) time: 2.7330 data: 0.0054 max mem: 31630 Epoch: [38] [1680/5278] eta: 2:40:39 lr: 2.8856595411345167e-06 loss: 0.0330 (0.0344) loss_seg: 0.0327 (0.0341) loss_lansim: 0.0279 (0.0271) loss_contra: 0.0001 (0.0007) time: 2.7379 data: 0.0054 max mem: 31630 Epoch: [38] [1690/5278] eta: 2:40:14 lr: 2.882733073570979e-06 loss: 0.0331 (0.0344) loss_seg: 0.0328 (0.0341) loss_lansim: 0.0276 (0.0271) loss_contra: 0.0001 (0.0007) time: 2.7318 data: 0.0054 max mem: 31630 Epoch: [38] [1700/5278] eta: 2:39:48 lr: 2.8798062758739643e-06 loss: 0.0330 (0.0344) loss_seg: 0.0327 (0.0341) loss_lansim: 0.0273 (0.0271) loss_contra: 0.0001 (0.0007) time: 2.7379 data: 0.0054 max mem: 31630 Epoch: [38] [1710/5278] eta: 2:39:22 lr: 2.876879147633345e-06 loss: 0.0325 (0.0343) loss_seg: 0.0322 (0.0341) loss_lansim: 0.0272 (0.0271) loss_contra: 0.0001 (0.0007) time: 2.7302 data: 0.0054 max mem: 31630 Epoch: [38] [1720/5278] eta: 2:38:57 lr: 2.8739516884380266e-06 loss: 0.0318 (0.0343) loss_seg: 0.0315 (0.0340) loss_lansim: 0.0271 (0.0271) loss_contra: 0.0001 (0.0007) time: 2.7367 data: 0.0054 max mem: 31630 Epoch: [38] [1730/5278] eta: 2:38:31 lr: 2.8710238978759183e-06 loss: 0.0318 (0.0343) loss_seg: 0.0316 (0.0340) loss_lansim: 0.0272 (0.0271) loss_contra: 0.0001 (0.0007) time: 2.7332 data: 0.0054 max mem: 31630 Epoch: [38] [1740/5278] eta: 2:38:06 lr: 2.8680957755339676e-06 loss: 0.0318 (0.0343) loss_seg: 0.0315 (0.0340) loss_lansim: 0.0269 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7398 data: 0.0054 max mem: 31630 Epoch: [38] [1750/5278] eta: 2:37:40 lr: 2.865167320998132e-06 loss: 0.0314 (0.0343) loss_seg: 0.0311 (0.0340) loss_lansim: 0.0269 (0.0271) loss_contra: 0.0001 (0.0007) time: 2.7328 data: 0.0054 max mem: 31630 Epoch: [38] [1760/5278] eta: 2:37:14 lr: 2.862238533853388e-06 loss: 0.0318 (0.0343) loss_seg: 0.0315 (0.0340) loss_lansim: 0.0269 (0.0271) loss_contra: 0.0001 (0.0007) time: 2.7376 data: 0.0054 max mem: 31630 Epoch: [38] [1770/5278] eta: 2:36:48 lr: 2.859309413683701e-06 loss: 0.0318 (0.0343) loss_seg: 0.0316 (0.0340) loss_lansim: 0.0264 (0.0271) loss_contra: 0.0001 (0.0007) time: 2.7353 data: 0.0054 max mem: 31630 Epoch: [38] [1780/5278] eta: 2:36:23 lr: 2.8563799600720614e-06 loss: 0.0308 (0.0343) loss_seg: 0.0305 (0.0340) loss_lansim: 0.0264 (0.0271) loss_contra: 0.0001 (0.0007) time: 2.7401 data: 0.0054 max mem: 31630 Epoch: [38] [1790/5278] eta: 2:35:57 lr: 2.8534501726004553e-06 loss: 0.0311 (0.0343) loss_seg: 0.0308 (0.0340) loss_lansim: 0.0264 (0.0271) loss_contra: 0.0001 (0.0007) time: 2.7358 data: 0.0054 max mem: 31630 Epoch: [38] [1800/5278] eta: 2:35:32 lr: 2.8505200508498677e-06 loss: 0.0313 (0.0343) loss_seg: 0.0311 (0.0340) loss_lansim: 0.0264 (0.0271) loss_contra: 0.0001 (0.0007) time: 2.7405 data: 0.0054 max mem: 31630 Epoch: [38] [1810/5278] eta: 2:35:06 lr: 2.8475895944002843e-06 loss: 0.0318 (0.0343) loss_seg: 0.0315 (0.0340) loss_lansim: 0.0264 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7405 data: 0.0056 max mem: 31630 Epoch: [38] [1820/5278] eta: 2:34:42 lr: 2.8446588028306627e-06 loss: 0.0332 (0.0343) loss_seg: 0.0329 (0.0340) loss_lansim: 0.0264 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7519 data: 0.0058 max mem: 31630 Epoch: [38] [1830/5278] eta: 2:34:16 lr: 2.841727675718968e-06 loss: 0.0336 (0.0343) loss_seg: 0.0333 (0.0341) loss_lansim: 0.0264 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7511 data: 0.0058 max mem: 31630 Epoch: [38] [1840/5278] eta: 2:33:50 lr: 2.838796212642142e-06 loss: 0.0346 (0.0343) loss_seg: 0.0343 (0.0340) loss_lansim: 0.0264 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7479 data: 0.0058 max mem: 31630 Epoch: [38] [1850/5278] eta: 2:33:23 lr: 2.8358644131761157e-06 loss: 0.0350 (0.0344) loss_seg: 0.0348 (0.0341) loss_lansim: 0.0264 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7465 data: 0.0059 max mem: 31630 Epoch: [38] [1860/5278] eta: 2:32:57 lr: 2.832932276895775e-06 loss: 0.0348 (0.0344) loss_seg: 0.0345 (0.0341) loss_lansim: 0.0265 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7427 data: 0.0059 max mem: 31630 Epoch: [38] [1870/5278] eta: 2:32:31 lr: 2.829999803375e-06 loss: 0.0338 (0.0344) loss_seg: 0.0335 (0.0341) loss_lansim: 0.0264 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7423 data: 0.0059 max mem: 31630 Epoch: [38] [1880/5278] eta: 2:32:04 lr: 2.8270669921866337e-06 loss: 0.0336 (0.0344) loss_seg: 0.0333 (0.0341) loss_lansim: 0.0264 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7370 data: 0.0059 max mem: 31630 Epoch: [38] [1890/5278] eta: 2:31:38 lr: 2.824133842902491e-06 loss: 0.0337 (0.0344) loss_seg: 0.0334 (0.0341) loss_lansim: 0.0264 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7381 data: 0.0058 max mem: 31630 Epoch: [38] [1900/5278] eta: 2:31:12 lr: 2.8212003550933302e-06 loss: 0.0332 (0.0344) loss_seg: 0.0329 (0.0341) loss_lansim: 0.0262 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7315 data: 0.0058 max mem: 31630 Epoch: [38] [1910/5278] eta: 2:30:45 lr: 2.818266528328887e-06 loss: 0.0332 (0.0344) loss_seg: 0.0329 (0.0341) loss_lansim: 0.0264 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7295 data: 0.0057 max mem: 31630 Epoch: [38] [1920/5278] eta: 2:30:19 lr: 2.8153323621778454e-06 loss: 0.0336 (0.0344) loss_seg: 0.0333 (0.0342) loss_lansim: 0.0261 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7158 data: 0.0055 max mem: 31630 Epoch: [38] [1930/5278] eta: 2:29:52 lr: 2.812397856207848e-06 loss: 0.0337 (0.0345) loss_seg: 0.0334 (0.0342) loss_lansim: 0.0262 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7113 data: 0.0055 max mem: 31630 Epoch: [38] [1940/5278] eta: 2:29:26 lr: 2.8094630099854626e-06 loss: 0.0337 (0.0345) loss_seg: 0.0334 (0.0342) loss_lansim: 0.0260 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7128 data: 0.0055 max mem: 31630 Epoch: [38] [1950/5278] eta: 2:28:59 lr: 2.8065278230762228e-06 loss: 0.0332 (0.0345) loss_seg: 0.0329 (0.0342) loss_lansim: 0.0259 (0.0271) loss_contra: 0.0000 (0.0006) time: 2.7107 data: 0.0055 max mem: 31630 Epoch: [38] [1960/5278] eta: 2:28:33 lr: 2.803592295044593e-06 loss: 0.0332 (0.0345) loss_seg: 0.0329 (0.0342) loss_lansim: 0.0261 (0.0271) loss_contra: 0.0000 (0.0006) time: 2.7142 data: 0.0055 max mem: 31630 Epoch: [38] [1970/5278] eta: 2:28:06 lr: 2.800656425453982e-06 loss: 0.0336 (0.0345) loss_seg: 0.0333 (0.0342) loss_lansim: 0.0262 (0.0271) loss_contra: 0.0000 (0.0006) time: 2.7084 data: 0.0055 max mem: 31630 Epoch: [38] [1980/5278] eta: 2:27:41 lr: 2.79772021386671e-06 loss: 0.0336 (0.0345) loss_seg: 0.0333 (0.0342) loss_lansim: 0.0263 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7142 data: 0.0055 max mem: 31630 Epoch: [38] [1990/5278] eta: 2:27:13 lr: 2.7947836598440434e-06 loss: 0.0336 (0.0345) loss_seg: 0.0333 (0.0342) loss_lansim: 0.0262 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7085 data: 0.0056 max mem: 31630 Epoch: [38] [2000/5278] eta: 2:26:48 lr: 2.791846762946169e-06 loss: 0.0336 (0.0344) loss_seg: 0.0333 (0.0342) loss_lansim: 0.0265 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7133 data: 0.0055 max mem: 31630 Epoch: [38] [2010/5278] eta: 2:26:20 lr: 2.788909522732199e-06 loss: 0.0337 (0.0344) loss_seg: 0.0334 (0.0342) loss_lansim: 0.0267 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7084 data: 0.0056 max mem: 31630 Epoch: [38] [2020/5278] eta: 2:25:55 lr: 2.7859719387601428e-06 loss: 0.0336 (0.0344) loss_seg: 0.0333 (0.0342) loss_lansim: 0.0267 (0.0271) loss_contra: 0.0000 (0.0006) time: 2.7112 data: 0.0057 max mem: 31630 Epoch: [38] [2030/5278] eta: 2:25:27 lr: 2.7830340105869407e-06 loss: 0.0334 (0.0344) loss_seg: 0.0330 (0.0342) loss_lansim: 0.0265 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7090 data: 0.0056 max mem: 31630 Epoch: [38] [2040/5278] eta: 2:25:01 lr: 2.7800957377684367e-06 loss: 0.0327 (0.0344) loss_seg: 0.0324 (0.0341) loss_lansim: 0.0266 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7087 data: 0.0056 max mem: 31630 Epoch: [38] [2050/5278] eta: 2:24:34 lr: 2.7771571198593787e-06 loss: 0.0328 (0.0344) loss_seg: 0.0325 (0.0342) loss_lansim: 0.0265 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7080 data: 0.0056 max mem: 31630 Epoch: [38] [2060/5278] eta: 2:24:08 lr: 2.774218156413421e-06 loss: 0.0328 (0.0344) loss_seg: 0.0325 (0.0342) loss_lansim: 0.0264 (0.0270) loss_contra: 0.0001 (0.0007) time: 2.7056 data: 0.0056 max mem: 31630 Epoch: [38] [2070/5278] eta: 2:23:41 lr: 2.771278846983096e-06 loss: 0.0329 (0.0344) loss_seg: 0.0327 (0.0342) loss_lansim: 0.0263 (0.0271) loss_contra: 0.0001 (0.0007) time: 2.7077 data: 0.0056 max mem: 31630 Epoch: [38] [2080/5278] eta: 2:23:14 lr: 2.768339191119847e-06 loss: 0.0328 (0.0344) loss_seg: 0.0325 (0.0341) loss_lansim: 0.0264 (0.0270) loss_contra: 0.0001 (0.0007) time: 2.7028 data: 0.0055 max mem: 31630 Epoch: [38] [2090/5278] eta: 2:22:48 lr: 2.765399188374e-06 loss: 0.0327 (0.0344) loss_seg: 0.0324 (0.0341) loss_lansim: 0.0265 (0.0270) loss_contra: 0.0001 (0.0007) time: 2.7058 data: 0.0055 max mem: 31630 Epoch: [38] [2100/5278] eta: 2:22:21 lr: 2.7624588382947723e-06 loss: 0.0328 (0.0344) loss_seg: 0.0325 (0.0341) loss_lansim: 0.0265 (0.0271) loss_contra: 0.0000 (0.0007) time: 2.6998 data: 0.0056 max mem: 31630 Epoch: [38] [2110/5278] eta: 2:21:55 lr: 2.7595181404302404e-06 loss: 0.0329 (0.0344) loss_seg: 0.0327 (0.0341) loss_lansim: 0.0265 (0.0271) loss_contra: 0.0001 (0.0007) time: 2.7059 data: 0.0055 max mem: 31630 Epoch: [38] [2120/5278] eta: 2:21:28 lr: 2.7565770943273775e-06 loss: 0.0331 (0.0344) loss_seg: 0.0328 (0.0342) loss_lansim: 0.0265 (0.0271) loss_contra: 0.0001 (0.0007) time: 2.7021 data: 0.0054 max mem: 31630 Epoch: [38] [2130/5278] eta: 2:21:01 lr: 2.7536356995320233e-06 loss: 0.0337 (0.0344) loss_seg: 0.0334 (0.0342) loss_lansim: 0.0269 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7060 data: 0.0054 max mem: 31630 Epoch: [38] [2140/5278] eta: 2:20:35 lr: 2.7506939555888903e-06 loss: 0.0337 (0.0344) loss_seg: 0.0334 (0.0341) loss_lansim: 0.0272 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7037 data: 0.0054 max mem: 31630 Epoch: [38] [2150/5278] eta: 2:20:08 lr: 2.747751862041536e-06 loss: 0.0341 (0.0345) loss_seg: 0.0338 (0.0342) loss_lansim: 0.0273 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7069 data: 0.0054 max mem: 31630 Epoch: [38] [2160/5278] eta: 2:19:42 lr: 2.744809418432396e-06 loss: 0.0337 (0.0344) loss_seg: 0.0334 (0.0342) loss_lansim: 0.0273 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7070 data: 0.0054 max mem: 31630 Epoch: [38] [2170/5278] eta: 2:19:15 lr: 2.7418666243027563e-06 loss: 0.0331 (0.0344) loss_seg: 0.0328 (0.0342) loss_lansim: 0.0273 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7098 data: 0.0054 max mem: 31630 Epoch: [38] [2180/5278] eta: 2:18:49 lr: 2.73892347919276e-06 loss: 0.0334 (0.0344) loss_seg: 0.0332 (0.0342) loss_lansim: 0.0272 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7088 data: 0.0055 max mem: 31630 Epoch: [38] [2190/5278] eta: 2:18:22 lr: 2.735979982641376e-06 loss: 0.0350 (0.0344) loss_seg: 0.0347 (0.0342) loss_lansim: 0.0272 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7105 data: 0.0055 max mem: 31630 Epoch: [38] [2200/5278] eta: 2:17:56 lr: 2.733036134186438e-06 loss: 0.0334 (0.0344) loss_seg: 0.0331 (0.0342) loss_lansim: 0.0267 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7131 data: 0.0055 max mem: 31630 Epoch: [38] [2210/5278] eta: 2:17:29 lr: 2.7300919333646085e-06 loss: 0.0322 (0.0344) loss_seg: 0.0320 (0.0342) loss_lansim: 0.0267 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7123 data: 0.0056 max mem: 31630 Epoch: [38] [2220/5278] eta: 2:17:03 lr: 2.727147379711393e-06 loss: 0.0328 (0.0344) loss_seg: 0.0325 (0.0342) loss_lansim: 0.0268 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7120 data: 0.0056 max mem: 31630 Epoch: [38] [2230/5278] eta: 2:16:36 lr: 2.7242024727611054e-06 loss: 0.0318 (0.0344) loss_seg: 0.0316 (0.0341) loss_lansim: 0.0266 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7131 data: 0.0056 max mem: 31630 Epoch: [38] [2240/5278] eta: 2:16:09 lr: 2.721257212046905e-06 loss: 0.0322 (0.0344) loss_seg: 0.0320 (0.0341) loss_lansim: 0.0265 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7135 data: 0.0057 max mem: 31630 Epoch: [38] [2250/5278] eta: 2:15:43 lr: 2.718311597100766e-06 loss: 0.0306 (0.0344) loss_seg: 0.0303 (0.0341) loss_lansim: 0.0264 (0.0270) loss_contra: 0.0001 (0.0006) time: 2.7136 data: 0.0057 max mem: 31630 Epoch: [38] [2260/5278] eta: 2:15:16 lr: 2.7153656274534847e-06 loss: 0.0309 (0.0344) loss_seg: 0.0306 (0.0341) loss_lansim: 0.0264 (0.0270) loss_contra: 0.0001 (0.0006) time: 2.7127 data: 0.0057 max mem: 31630 Epoch: [38] [2270/5278] eta: 2:14:50 lr: 2.7124193026346504e-06 loss: 0.0307 (0.0344) loss_seg: 0.0304 (0.0341) loss_lansim: 0.0264 (0.0270) loss_contra: 0.0001 (0.0006) time: 2.7124 data: 0.0057 max mem: 31630 Epoch: [38] [2280/5278] eta: 2:14:23 lr: 2.709472622172679e-06 loss: 0.0309 (0.0344) loss_seg: 0.0306 (0.0341) loss_lansim: 0.0264 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7132 data: 0.0056 max mem: 31630 Epoch: [38] [2290/5278] eta: 2:13:56 lr: 2.7065255855947838e-06 loss: 0.0307 (0.0344) loss_seg: 0.0304 (0.0341) loss_lansim: 0.0264 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7127 data: 0.0056 max mem: 31630 Epoch: [38] [2300/5278] eta: 2:13:30 lr: 2.703578192426977e-06 loss: 0.0308 (0.0344) loss_seg: 0.0305 (0.0341) loss_lansim: 0.0265 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7112 data: 0.0056 max mem: 31630 Epoch: [38] [2310/5278] eta: 2:13:03 lr: 2.7006304421940698e-06 loss: 0.0312 (0.0344) loss_seg: 0.0310 (0.0341) loss_lansim: 0.0264 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7116 data: 0.0055 max mem: 31630 Epoch: [38] [2320/5278] eta: 2:12:37 lr: 2.697682334419645e-06 loss: 0.0308 (0.0343) loss_seg: 0.0305 (0.0341) loss_lansim: 0.0264 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7113 data: 0.0055 max mem: 31630 Epoch: [38] [2330/5278] eta: 2:12:10 lr: 2.6947338686260893e-06 loss: 0.0313 (0.0343) loss_seg: 0.0311 (0.0341) loss_lansim: 0.0266 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7127 data: 0.0055 max mem: 31630 Epoch: [38] [2340/5278] eta: 2:11:43 lr: 2.691785044334564e-06 loss: 0.0314 (0.0344) loss_seg: 0.0311 (0.0341) loss_lansim: 0.0269 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7120 data: 0.0054 max mem: 31630 Epoch: [38] [2350/5278] eta: 2:11:17 lr: 2.6888358610650127e-06 loss: 0.0319 (0.0344) loss_seg: 0.0316 (0.0341) loss_lansim: 0.0271 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7145 data: 0.0054 max mem: 31630 Epoch: [38] [2360/5278] eta: 2:10:50 lr: 2.6858863183361295e-06 loss: 0.0318 (0.0344) loss_seg: 0.0315 (0.0341) loss_lansim: 0.0271 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7109 data: 0.0054 max mem: 31630 Epoch: [38] [2370/5278] eta: 2:10:24 lr: 2.6829364156653954e-06 loss: 0.0329 (0.0343) loss_seg: 0.0327 (0.0341) loss_lansim: 0.0273 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7127 data: 0.0054 max mem: 31630 Epoch: [38] [2380/5278] eta: 2:09:56 lr: 2.6799861525690472e-06 loss: 0.0331 (0.0343) loss_seg: 0.0328 (0.0341) loss_lansim: 0.0271 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7078 data: 0.0054 max mem: 31630 Epoch: [38] [2390/5278] eta: 2:09:30 lr: 2.677035528562086e-06 loss: 0.0333 (0.0344) loss_seg: 0.0330 (0.0341) loss_lansim: 0.0270 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7111 data: 0.0054 max mem: 31630 Epoch: [38] [2400/5278] eta: 2:09:03 lr: 2.674084543158244e-06 loss: 0.0342 (0.0344) loss_seg: 0.0339 (0.0341) loss_lansim: 0.0271 (0.0271) loss_contra: 0.0000 (0.0006) time: 2.7056 data: 0.0054 max mem: 31630 Epoch: [38] [2410/5278] eta: 2:08:37 lr: 2.671133195870022e-06 loss: 0.0333 (0.0344) loss_seg: 0.0330 (0.0341) loss_lansim: 0.0271 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7137 data: 0.0054 max mem: 31630 Epoch: [38] [2420/5278] eta: 2:08:10 lr: 2.6681814862086565e-06 loss: 0.0333 (0.0343) loss_seg: 0.0330 (0.0341) loss_lansim: 0.0271 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7096 data: 0.0054 max mem: 31630 Epoch: [38] [2430/5278] eta: 2:07:43 lr: 2.6652294136841305e-06 loss: 0.0335 (0.0344) loss_seg: 0.0332 (0.0341) loss_lansim: 0.0270 (0.0271) loss_contra: 0.0001 (0.0006) time: 2.7042 data: 0.0054 max mem: 31630 Epoch: [38] [2440/5278] eta: 2:07:16 lr: 2.6622769778051384e-06 loss: 0.0332 (0.0343) loss_seg: 0.0329 (0.0341) loss_lansim: 0.0265 (0.0271) loss_contra: 0.0000 (0.0006) time: 2.7013 data: 0.0054 max mem: 31630 Epoch: [38] [2450/5278] eta: 2:06:48 lr: 2.6593241780791242e-06 loss: 0.0327 (0.0343) loss_seg: 0.0323 (0.0341) loss_lansim: 0.0267 (0.0271) loss_contra: 0.0000 (0.0006) time: 2.6935 data: 0.0054 max mem: 31630 Epoch: [38] [2460/5278] eta: 2:06:21 lr: 2.656371014012249e-06 loss: 0.0332 (0.0343) loss_seg: 0.0329 (0.0341) loss_lansim: 0.0263 (0.0270) loss_contra: 0.0001 (0.0006) time: 2.6951 data: 0.0053 max mem: 31630 Epoch: [38] [2470/5278] eta: 2:05:54 lr: 2.653417485109399e-06 loss: 0.0333 (0.0343) loss_seg: 0.0330 (0.0341) loss_lansim: 0.0262 (0.0270) loss_contra: 0.0001 (0.0006) time: 2.6885 data: 0.0054 max mem: 31630 Epoch: [38] [2480/5278] eta: 2:05:28 lr: 2.6504635908741547e-06 loss: 0.0330 (0.0343) loss_seg: 0.0327 (0.0341) loss_lansim: 0.0254 (0.0270) loss_contra: 0.0001 (0.0006) time: 2.6936 data: 0.0056 max mem: 31630 Epoch: [38] [2490/5278] eta: 2:05:00 lr: 2.647509330808825e-06 loss: 0.0329 (0.0343) loss_seg: 0.0327 (0.0341) loss_lansim: 0.0254 (0.0270) loss_contra: 0.0001 (0.0006) time: 2.6851 data: 0.0057 max mem: 31630 Epoch: [38] [2500/5278] eta: 2:04:34 lr: 2.644554704414416e-06 loss: 0.0328 (0.0343) loss_seg: 0.0326 (0.0340) loss_lansim: 0.0255 (0.0270) loss_contra: 0.0001 (0.0006) time: 2.6898 data: 0.0057 max mem: 31630 Epoch: [38] [2510/5278] eta: 2:04:06 lr: 2.641599711190641e-06 loss: 0.0327 (0.0343) loss_seg: 0.0323 (0.0340) loss_lansim: 0.0254 (0.0270) loss_contra: 0.0001 (0.0006) time: 2.6764 data: 0.0057 max mem: 31630 Epoch: [38] [2520/5278] eta: 2:03:40 lr: 2.638644350635885e-06 loss: 0.0330 (0.0343) loss_seg: 0.0327 (0.0341) loss_lansim: 0.0257 (0.0270) loss_contra: 0.0001 (0.0006) time: 2.6799 data: 0.0058 max mem: 31630 Epoch: [38] [2530/5278] eta: 2:03:12 lr: 2.635688622247244e-06 loss: 0.0330 (0.0344) loss_seg: 0.0327 (0.0341) loss_lansim: 0.0259 (0.0270) loss_contra: 0.0001 (0.0006) time: 2.6785 data: 0.0058 max mem: 31630 Epoch: [38] [2540/5278] eta: 2:02:46 lr: 2.632732525520489e-06 loss: 0.0330 (0.0344) loss_seg: 0.0327 (0.0341) loss_lansim: 0.0264 (0.0270) loss_contra: 0.0001 (0.0006) time: 2.6867 data: 0.0059 max mem: 31630 Epoch: [38] [2550/5278] eta: 2:02:19 lr: 2.629776059950073e-06 loss: 0.0329 (0.0344) loss_seg: 0.0327 (0.0341) loss_lansim: 0.0261 (0.0270) loss_contra: 0.0001 (0.0006) time: 2.6862 data: 0.0059 max mem: 31630 Epoch: [38] [2560/5278] eta: 2:01:52 lr: 2.6268192250291267e-06 loss: 0.0324 (0.0344) loss_seg: 0.0320 (0.0341) loss_lansim: 0.0265 (0.0270) loss_contra: 0.0001 (0.0006) time: 2.6817 data: 0.0059 max mem: 31630 Epoch: [38] [2570/5278] eta: 2:01:24 lr: 2.6238620202494295e-06 loss: 0.0324 (0.0344) loss_seg: 0.0320 (0.0341) loss_lansim: 0.0265 (0.0270) loss_contra: 0.0001 (0.0006) time: 2.6808 data: 0.0058 max mem: 31630 Epoch: [38] [2580/5278] eta: 2:00:57 lr: 2.6209044451014454e-06 loss: 0.0327 (0.0344) loss_seg: 0.0324 (0.0341) loss_lansim: 0.0266 (0.0270) loss_contra: 0.0001 (0.0006) time: 2.6728 data: 0.0057 max mem: 31630 Epoch: [38] [2590/5278] eta: 2:00:29 lr: 2.6179464990742896e-06 loss: 0.0327 (0.0344) loss_seg: 0.0324 (0.0341) loss_lansim: 0.0266 (0.0270) loss_contra: 0.0001 (0.0006) time: 2.6698 data: 0.0056 max mem: 31630 Epoch: [38] [2600/5278] eta: 2:00:02 lr: 2.614988181655736e-06 loss: 0.0329 (0.0344) loss_seg: 0.0327 (0.0341) loss_lansim: 0.0267 (0.0270) loss_contra: 0.0001 (0.0006) time: 2.6619 data: 0.0055 max mem: 31630 Epoch: [38] [2610/5278] eta: 1:59:34 lr: 2.612029492332187e-06 loss: 0.0330 (0.0344) loss_seg: 0.0328 (0.0341) loss_lansim: 0.0265 (0.0270) loss_contra: 0.0001 (0.0007) time: 2.6585 data: 0.0055 max mem: 31630 Epoch: [38] [2620/5278] eta: 1:59:07 lr: 2.6090704305887068e-06 loss: 0.0327 (0.0344) loss_seg: 0.0324 (0.0341) loss_lansim: 0.0265 (0.0270) loss_contra: 0.0001 (0.0007) time: 2.6512 data: 0.0055 max mem: 31630 Epoch: [38] [2630/5278] eta: 1:58:39 lr: 2.6061109959089914e-06 loss: 0.0328 (0.0344) loss_seg: 0.0325 (0.0341) loss_lansim: 0.0264 (0.0270) loss_contra: 0.0001 (0.0007) time: 2.6476 data: 0.0054 max mem: 31630 Epoch: [38] [2640/5278] eta: 1:58:11 lr: 2.6031511877753735e-06 loss: 0.0329 (0.0344) loss_seg: 0.0327 (0.0341) loss_lansim: 0.0266 (0.0270) loss_contra: 0.0001 (0.0007) time: 2.6343 data: 0.0054 max mem: 31630 Epoch: [38] [2650/5278] eta: 1:57:44 lr: 2.6001910056687935e-06 loss: 0.0332 (0.0344) loss_seg: 0.0330 (0.0341) loss_lansim: 0.0264 (0.0270) loss_contra: 0.0001 (0.0007) time: 2.6315 data: 0.0054 max mem: 31630 Epoch: [38] [2660/5278] eta: 1:57:16 lr: 2.5972304490688326e-06 loss: 0.0332 (0.0344) loss_seg: 0.0330 (0.0341) loss_lansim: 0.0266 (0.0270) loss_contra: 0.0001 (0.0007) time: 2.6293 data: 0.0054 max mem: 31630 Epoch: [38] [2670/5278] eta: 1:56:49 lr: 2.5942695174536803e-06 loss: 0.0333 (0.0344) loss_seg: 0.0331 (0.0341) loss_lansim: 0.0266 (0.0270) loss_contra: 0.0001 (0.0007) time: 2.6287 data: 0.0054 max mem: 31630 Epoch: [38] [2680/5278] eta: 1:56:22 lr: 2.591308210300144e-06 loss: 0.0332 (0.0344) loss_seg: 0.0330 (0.0341) loss_lansim: 0.0266 (0.0270) loss_contra: 0.0001 (0.0007) time: 2.6296 data: 0.0054 max mem: 31630 Epoch: [38] [2690/5278] eta: 1:55:55 lr: 2.588346527083614e-06 loss: 0.0336 (0.0344) loss_seg: 0.0333 (0.0341) loss_lansim: 0.0263 (0.0270) loss_contra: 0.0001 (0.0007) time: 2.6320 data: 0.0054 max mem: 31630 Epoch: [38] [2700/5278] eta: 1:55:27 lr: 2.585384467278102e-06 loss: 0.0319 (0.0343) loss_seg: 0.0317 (0.0341) loss_lansim: 0.0261 (0.0270) loss_contra: 0.0001 (0.0007) time: 2.6341 data: 0.0054 max mem: 31630 Epoch: [38] [2710/5278] eta: 1:55:00 lr: 2.582422030356206e-06 loss: 0.0320 (0.0343) loss_seg: 0.0317 (0.0341) loss_lansim: 0.0260 (0.0270) loss_contra: 0.0001 (0.0007) time: 2.6367 data: 0.0055 max mem: 31630 Epoch: [38] [2720/5278] eta: 1:54:33 lr: 2.5794592157891175e-06 loss: 0.0328 (0.0343) loss_seg: 0.0325 (0.0341) loss_lansim: 0.0256 (0.0270) loss_contra: 0.0001 (0.0007) time: 2.6392 data: 0.0055 max mem: 31630 Epoch: [38] [2730/5278] eta: 1:54:06 lr: 2.5764960230465926e-06 loss: 0.0322 (0.0343) loss_seg: 0.0319 (0.0341) loss_lansim: 0.0257 (0.0270) loss_contra: 0.0001 (0.0007) time: 2.6417 data: 0.0055 max mem: 31630 Epoch: [38] [2740/5278] eta: 1:53:39 lr: 2.5735324515969826e-06 loss: 0.0314 (0.0343) loss_seg: 0.0311 (0.0340) loss_lansim: 0.0260 (0.0270) loss_contra: 0.0001 (0.0007) time: 2.6445 data: 0.0054 max mem: 31630 Epoch: [38] [2750/5278] eta: 1:53:11 lr: 2.570568500907204e-06 loss: 0.0318 (0.0343) loss_seg: 0.0315 (0.0340) loss_lansim: 0.0261 (0.0270) loss_contra: 0.0001 (0.0007) time: 2.6470 data: 0.0054 max mem: 31630 Epoch: [38] [2760/5278] eta: 1:52:44 lr: 2.567604170442747e-06 loss: 0.0316 (0.0343) loss_seg: 0.0313 (0.0340) loss_lansim: 0.0257 (0.0270) loss_contra: 0.0001 (0.0007) time: 2.6491 data: 0.0053 max mem: 31630 Epoch: [38] [2770/5278] eta: 1:52:17 lr: 2.5646394596676386e-06 loss: 0.0316 (0.0343) loss_seg: 0.0313 (0.0340) loss_lansim: 0.0257 (0.0270) loss_contra: 0.0001 (0.0007) time: 2.6497 data: 0.0053 max mem: 31630 Epoch: [38] [2780/5278] eta: 1:51:50 lr: 2.561674368044483e-06 loss: 0.0320 (0.0343) loss_seg: 0.0317 (0.0341) loss_lansim: 0.0255 (0.0270) loss_contra: 0.0001 (0.0007) time: 2.6497 data: 0.0053 max mem: 31630 Epoch: [38] [2790/5278] eta: 1:51:23 lr: 2.5587088950344238e-06 loss: 0.0314 (0.0343) loss_seg: 0.0311 (0.0341) loss_lansim: 0.0255 (0.0270) loss_contra: 0.0001 (0.0007) time: 2.6493 data: 0.0055 max mem: 31630 Epoch: [38] [2800/5278] eta: 1:50:55 lr: 2.555743040097149e-06 loss: 0.0320 (0.0343) loss_seg: 0.0317 (0.0340) loss_lansim: 0.0257 (0.0270) loss_contra: 0.0001 (0.0007) time: 2.6489 data: 0.0055 max mem: 31630 Epoch: [38] [2810/5278] eta: 1:50:28 lr: 2.5527768026908895e-06 loss: 0.0320 (0.0343) loss_seg: 0.0317 (0.0340) loss_lansim: 0.0258 (0.0270) loss_contra: 0.0001 (0.0007) time: 2.6475 data: 0.0054 max mem: 31630 Epoch: [38] [2820/5278] eta: 1:50:01 lr: 2.5498101822723863e-06 loss: 0.0318 (0.0343) loss_seg: 0.0315 (0.0340) loss_lansim: 0.0258 (0.0270) loss_contra: 0.0001 (0.0007) time: 2.6468 data: 0.0054 max mem: 31630 Epoch: [38] [2830/5278] eta: 1:49:34 lr: 2.546843178296926e-06 loss: 0.0320 (0.0343) loss_seg: 0.0317 (0.0340) loss_lansim: 0.0257 (0.0270) loss_contra: 0.0001 (0.0007) time: 2.6464 data: 0.0054 max mem: 31630 Epoch: [38] [2840/5278] eta: 1:49:06 lr: 2.5438757902183087e-06 loss: 0.0322 (0.0343) loss_seg: 0.0320 (0.0340) loss_lansim: 0.0255 (0.0270) loss_contra: 0.0001 (0.0007) time: 2.6450 data: 0.0054 max mem: 31630 Epoch: [38] [2850/5278] eta: 1:48:39 lr: 2.540908017488853e-06 loss: 0.0320 (0.0343) loss_seg: 0.0317 (0.0340) loss_lansim: 0.0253 (0.0270) loss_contra: 0.0001 (0.0007) time: 2.6439 data: 0.0054 max mem: 31630 Epoch: [38] [2860/5278] eta: 1:48:12 lr: 2.5379398595593638e-06 loss: 0.0320 (0.0343) loss_seg: 0.0317 (0.0340) loss_lansim: 0.0254 (0.0270) loss_contra: 0.0001 (0.0007) time: 2.6433 data: 0.0054 max mem: 31630 Epoch: [38] [2870/5278] eta: 1:47:45 lr: 2.5349713158791695e-06 loss: 0.0318 (0.0343) loss_seg: 0.0316 (0.0340) loss_lansim: 0.0254 (0.0270) loss_contra: 0.0001 (0.0007) time: 2.6422 data: 0.0054 max mem: 31630 Epoch: [38] [2880/5278] eta: 1:47:17 lr: 2.532002385896085e-06 loss: 0.0318 (0.0343) loss_seg: 0.0315 (0.0340) loss_lansim: 0.0256 (0.0270) loss_contra: 0.0001 (0.0007) time: 2.6413 data: 0.0054 max mem: 31630 Epoch: [38] [2890/5278] eta: 1:46:50 lr: 2.5290330690564232e-06 loss: 0.0322 (0.0343) loss_seg: 0.0320 (0.0340) loss_lansim: 0.0257 (0.0270) loss_contra: 0.0001 (0.0007) time: 2.6410 data: 0.0053 max mem: 31630 Epoch: [38] [2900/5278] eta: 1:46:23 lr: 2.526063364804957e-06 loss: 0.0323 (0.0343) loss_seg: 0.0320 (0.0340) loss_lansim: 0.0256 (0.0270) loss_contra: 0.0001 (0.0007) time: 2.6407 data: 0.0053 max mem: 31630 Epoch: [38] [2910/5278] eta: 1:45:56 lr: 2.523093272584958e-06 loss: 0.0322 (0.0343) loss_seg: 0.0320 (0.0340) loss_lansim: 0.0255 (0.0270) loss_contra: 0.0001 (0.0007) time: 2.6412 data: 0.0053 max mem: 31630 Epoch: [38] [2920/5278] eta: 1:45:29 lr: 2.5201227918381616e-06 loss: 0.0322 (0.0343) loss_seg: 0.0320 (0.0340) loss_lansim: 0.0258 (0.0270) loss_contra: 0.0001 (0.0007) time: 2.6409 data: 0.0053 max mem: 31630 Epoch: [38] [2930/5278] eta: 1:45:01 lr: 2.5171519220047736e-06 loss: 0.0323 (0.0343) loss_seg: 0.0320 (0.0340) loss_lansim: 0.0256 (0.0270) loss_contra: 0.0001 (0.0007) time: 2.6405 data: 0.0053 max mem: 31630 Epoch: [38] [2940/5278] eta: 1:44:34 lr: 2.514180662523438e-06 loss: 0.0323 (0.0343) loss_seg: 0.0320 (0.0340) loss_lansim: 0.0256 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.6405 data: 0.0053 max mem: 31630 Epoch: [38] [2950/5278] eta: 1:44:07 lr: 2.511209012831271e-06 loss: 0.0323 (0.0343) loss_seg: 0.0320 (0.0340) loss_lansim: 0.0258 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.6406 data: 0.0053 max mem: 31630 Epoch: [38] [2960/5278] eta: 1:43:40 lr: 2.508236972363828e-06 loss: 0.0321 (0.0342) loss_seg: 0.0319 (0.0340) loss_lansim: 0.0256 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.6406 data: 0.0053 max mem: 31630 Epoch: [38] [2970/5278] eta: 1:43:13 lr: 2.5052645405551103e-06 loss: 0.0317 (0.0342) loss_seg: 0.0314 (0.0340) loss_lansim: 0.0256 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.6409 data: 0.0053 max mem: 31630 Epoch: [38] [2980/5278] eta: 1:42:46 lr: 2.502291716837531e-06 loss: 0.0317 (0.0342) loss_seg: 0.0314 (0.0340) loss_lansim: 0.0256 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.6409 data: 0.0053 max mem: 31630 Epoch: [38] [2990/5278] eta: 1:42:18 lr: 2.4993185006419503e-06 loss: 0.0315 (0.0342) loss_seg: 0.0312 (0.0340) loss_lansim: 0.0258 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.6413 data: 0.0052 max mem: 31630 Epoch: [38] [3000/5278] eta: 1:41:51 lr: 2.4963448913976418e-06 loss: 0.0312 (0.0342) loss_seg: 0.0309 (0.0340) loss_lansim: 0.0256 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.6414 data: 0.0052 max mem: 31630 Epoch: [38] [3010/5278] eta: 1:41:24 lr: 2.4933708885323e-06 loss: 0.0315 (0.0342) loss_seg: 0.0312 (0.0339) loss_lansim: 0.0258 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.6411 data: 0.0052 max mem: 31630 Epoch: [38] [3020/5278] eta: 1:40:57 lr: 2.4903964914720044e-06 loss: 0.0315 (0.0342) loss_seg: 0.0313 (0.0339) loss_lansim: 0.0257 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.6411 data: 0.0052 max mem: 31630 Epoch: [38] [3030/5278] eta: 1:40:30 lr: 2.4874216996412566e-06 loss: 0.0315 (0.0342) loss_seg: 0.0312 (0.0340) loss_lansim: 0.0262 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.6411 data: 0.0052 max mem: 31630 Epoch: [38] [3040/5278] eta: 1:40:03 lr: 2.4844465124629446e-06 loss: 0.0312 (0.0342) loss_seg: 0.0309 (0.0339) loss_lansim: 0.0265 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.6414 data: 0.0052 max mem: 31630 Epoch: [38] [3050/5278] eta: 1:39:36 lr: 2.4814709293583443e-06 loss: 0.0311 (0.0342) loss_seg: 0.0308 (0.0339) loss_lansim: 0.0263 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.6415 data: 0.0052 max mem: 31630 Epoch: [38] [3060/5278] eta: 1:39:08 lr: 2.4784949497471176e-06 loss: 0.0311 (0.0342) loss_seg: 0.0308 (0.0339) loss_lansim: 0.0267 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.6414 data: 0.0052 max mem: 31630 Epoch: [38] [3070/5278] eta: 1:38:41 lr: 2.4755185730472816e-06 loss: 0.0312 (0.0342) loss_seg: 0.0309 (0.0339) loss_lansim: 0.0267 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.6406 data: 0.0052 max mem: 31630 Epoch: [38] [3080/5278] eta: 1:38:14 lr: 2.4725417986752397e-06 loss: 0.0312 (0.0342) loss_seg: 0.0309 (0.0339) loss_lansim: 0.0267 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.6410 data: 0.0052 max mem: 31630 Epoch: [38] [3090/5278] eta: 1:37:47 lr: 2.469564626045749e-06 loss: 0.0317 (0.0342) loss_seg: 0.0315 (0.0339) loss_lansim: 0.0259 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.6409 data: 0.0052 max mem: 31630 Epoch: [38] [3100/5278] eta: 1:37:20 lr: 2.4665870545719273e-06 loss: 0.0313 (0.0342) loss_seg: 0.0311 (0.0339) loss_lansim: 0.0259 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.6411 data: 0.0053 max mem: 31630 Epoch: [38] [3110/5278] eta: 1:36:54 lr: 2.463609083665218e-06 loss: 0.0316 (0.0342) loss_seg: 0.0314 (0.0339) loss_lansim: 0.0262 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.6598 data: 0.0053 max mem: 31630 Epoch: [38] [3120/5278] eta: 1:36:29 lr: 2.460630712735426e-06 loss: 0.0322 (0.0342) loss_seg: 0.0319 (0.0339) loss_lansim: 0.0262 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.6848 data: 0.0054 max mem: 31630 Epoch: [38] [3130/5278] eta: 1:36:03 lr: 2.457651941190681e-06 loss: 0.0317 (0.0342) loss_seg: 0.0315 (0.0339) loss_lansim: 0.0262 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.7099 data: 0.0054 max mem: 31630 Epoch: [38] [3140/5278] eta: 1:35:38 lr: 2.454672768437446e-06 loss: 0.0316 (0.0342) loss_seg: 0.0314 (0.0339) loss_lansim: 0.0262 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.7360 data: 0.0055 max mem: 31630 Epoch: [38] [3150/5278] eta: 1:35:13 lr: 2.451693193880482e-06 loss: 0.0316 (0.0342) loss_seg: 0.0314 (0.0339) loss_lansim: 0.0263 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.7610 data: 0.0055 max mem: 31630 Epoch: [38] [3160/5278] eta: 1:34:47 lr: 2.4487132169228827e-06 loss: 0.0317 (0.0342) loss_seg: 0.0315 (0.0339) loss_lansim: 0.0264 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.7853 data: 0.0056 max mem: 31630 Epoch: [38] [3170/5278] eta: 1:34:22 lr: 2.445732836966039e-06 loss: 0.0317 (0.0342) loss_seg: 0.0315 (0.0339) loss_lansim: 0.0264 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.8124 data: 0.0056 max mem: 31630 Epoch: [38] [3180/5278] eta: 1:33:56 lr: 2.442752053409649e-06 loss: 0.0316 (0.0342) loss_seg: 0.0314 (0.0339) loss_lansim: 0.0264 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.8402 data: 0.0057 max mem: 31630 Epoch: [38] [3190/5278] eta: 1:33:31 lr: 2.4397708656516775e-06 loss: 0.0316 (0.0342) loss_seg: 0.0314 (0.0339) loss_lansim: 0.0264 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.8668 data: 0.0058 max mem: 31630 Epoch: [38] [3200/5278] eta: 1:33:06 lr: 2.4367892730883943e-06 loss: 0.0317 (0.0342) loss_seg: 0.0315 (0.0339) loss_lansim: 0.0264 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.8918 data: 0.0059 max mem: 31630 Epoch: [38] [3210/5278] eta: 1:32:40 lr: 2.4338072751143394e-06 loss: 0.0316 (0.0342) loss_seg: 0.0314 (0.0339) loss_lansim: 0.0264 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.8982 data: 0.0059 max mem: 31630 Epoch: [38] [3220/5278] eta: 1:32:14 lr: 2.430824871122327e-06 loss: 0.0317 (0.0342) loss_seg: 0.0314 (0.0339) loss_lansim: 0.0264 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.8998 data: 0.0059 max mem: 31630 Epoch: [38] [3230/5278] eta: 1:31:49 lr: 2.4278420605034132e-06 loss: 0.0319 (0.0342) loss_seg: 0.0317 (0.0339) loss_lansim: 0.0262 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.8993 data: 0.0060 max mem: 31630 Epoch: [38] [3240/5278] eta: 1:31:23 lr: 2.424858842646929e-06 loss: 0.0322 (0.0342) loss_seg: 0.0319 (0.0339) loss_lansim: 0.0262 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.8999 data: 0.0060 max mem: 31630 Epoch: [38] [3250/5278] eta: 1:30:58 lr: 2.421875216940444e-06 loss: 0.0322 (0.0342) loss_seg: 0.0319 (0.0339) loss_lansim: 0.0262 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.9011 data: 0.0060 max mem: 31630 Epoch: [38] [3260/5278] eta: 1:30:32 lr: 2.4188911827697757e-06 loss: 0.0322 (0.0342) loss_seg: 0.0319 (0.0339) loss_lansim: 0.0261 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.9033 data: 0.0059 max mem: 31630 Epoch: [38] [3270/5278] eta: 1:30:06 lr: 2.4159067395189513e-06 loss: 0.0322 (0.0342) loss_seg: 0.0319 (0.0339) loss_lansim: 0.0261 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.9024 data: 0.0059 max mem: 31630 Epoch: [38] [3280/5278] eta: 1:29:41 lr: 2.412921886570244e-06 loss: 0.0332 (0.0342) loss_seg: 0.0329 (0.0339) loss_lansim: 0.0262 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.9002 data: 0.0059 max mem: 31630 Epoch: [38] [3290/5278] eta: 1:29:15 lr: 2.4099366233041356e-06 loss: 0.0333 (0.0342) loss_seg: 0.0330 (0.0339) loss_lansim: 0.0264 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.8993 data: 0.0058 max mem: 31630 Epoch: [38] [3300/5278] eta: 1:28:49 lr: 2.4069509490993183e-06 loss: 0.0324 (0.0342) loss_seg: 0.0321 (0.0339) loss_lansim: 0.0264 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.9010 data: 0.0057 max mem: 31630 Epoch: [38] [3310/5278] eta: 1:28:24 lr: 2.403964863332692e-06 loss: 0.0333 (0.0342) loss_seg: 0.0330 (0.0339) loss_lansim: 0.0264 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.9022 data: 0.0057 max mem: 31630 Epoch: [38] [3320/5278] eta: 1:27:58 lr: 2.4009783653793303e-06 loss: 0.0330 (0.0342) loss_seg: 0.0327 (0.0339) loss_lansim: 0.0264 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.9014 data: 0.0057 max mem: 31630 Epoch: [38] [3330/5278] eta: 1:27:32 lr: 2.397991454612512e-06 loss: 0.0323 (0.0342) loss_seg: 0.0320 (0.0339) loss_lansim: 0.0266 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.9026 data: 0.0057 max mem: 31630 Epoch: [38] [3340/5278] eta: 1:27:07 lr: 2.3950041304036894e-06 loss: 0.0317 (0.0341) loss_seg: 0.0314 (0.0339) loss_lansim: 0.0269 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.9029 data: 0.0057 max mem: 31630 Epoch: [38] [3350/5278] eta: 1:26:41 lr: 2.3920163921224906e-06 loss: 0.0317 (0.0341) loss_seg: 0.0314 (0.0339) loss_lansim: 0.0270 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.9050 data: 0.0057 max mem: 31630 Epoch: [38] [3360/5278] eta: 1:26:15 lr: 2.3890282391366857e-06 loss: 0.0314 (0.0341) loss_seg: 0.0311 (0.0339) loss_lansim: 0.0269 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.9069 data: 0.0058 max mem: 31630 Epoch: [38] [3370/5278] eta: 1:25:49 lr: 2.3860396708122205e-06 loss: 0.0317 (0.0341) loss_seg: 0.0314 (0.0339) loss_lansim: 0.0272 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.9083 data: 0.0059 max mem: 31630 Epoch: [38] [3380/5278] eta: 1:25:24 lr: 2.38305068651318e-06 loss: 0.0306 (0.0341) loss_seg: 0.0302 (0.0338) loss_lansim: 0.0271 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.9100 data: 0.0059 max mem: 31630 Epoch: [38] [3390/5278] eta: 1:24:58 lr: 2.3800612856017965e-06 loss: 0.0306 (0.0341) loss_seg: 0.0302 (0.0338) loss_lansim: 0.0269 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.9133 data: 0.0060 max mem: 31630 Epoch: [38] [3400/5278] eta: 1:24:32 lr: 2.37707146743841e-06 loss: 0.0313 (0.0341) loss_seg: 0.0310 (0.0339) loss_lansim: 0.0268 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.9142 data: 0.0061 max mem: 31630 Epoch: [38] [3410/5278] eta: 1:24:06 lr: 2.374081231381504e-06 loss: 0.0313 (0.0341) loss_seg: 0.0310 (0.0339) loss_lansim: 0.0264 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.9160 data: 0.0061 max mem: 31630 Epoch: [38] [3420/5278] eta: 1:23:41 lr: 2.3710905767876714e-06 loss: 0.0313 (0.0341) loss_seg: 0.0309 (0.0339) loss_lansim: 0.0263 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.9188 data: 0.0062 max mem: 31630 Epoch: [38] [3430/5278] eta: 1:23:15 lr: 2.3680995030116156e-06 loss: 0.0320 (0.0341) loss_seg: 0.0318 (0.0339) loss_lansim: 0.0261 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.9245 data: 0.0062 max mem: 31630 Epoch: [38] [3440/5278] eta: 1:22:49 lr: 2.365108009406119e-06 loss: 0.0331 (0.0341) loss_seg: 0.0328 (0.0339) loss_lansim: 0.0259 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.9272 data: 0.0062 max mem: 31630 Epoch: [38] [3450/5278] eta: 1:22:23 lr: 2.3621160953220744e-06 loss: 0.0337 (0.0342) loss_seg: 0.0334 (0.0339) loss_lansim: 0.0257 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.9287 data: 0.0061 max mem: 31630 Epoch: [38] [3460/5278] eta: 1:21:57 lr: 2.359123760108447e-06 loss: 0.0336 (0.0342) loss_seg: 0.0333 (0.0339) loss_lansim: 0.0256 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.9303 data: 0.0061 max mem: 31630 Epoch: [38] [3470/5278] eta: 1:21:32 lr: 2.3561310031122836e-06 loss: 0.0331 (0.0341) loss_seg: 0.0329 (0.0339) loss_lansim: 0.0256 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.9332 data: 0.0061 max mem: 31630 Epoch: [38] [3480/5278] eta: 1:21:06 lr: 2.353137823678675e-06 loss: 0.0338 (0.0342) loss_seg: 0.0335 (0.0339) loss_lansim: 0.0257 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.9358 data: 0.0060 max mem: 31630 Epoch: [38] [3490/5278] eta: 1:20:40 lr: 2.3501442211507875e-06 loss: 0.0342 (0.0342) loss_seg: 0.0339 (0.0339) loss_lansim: 0.0259 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.9388 data: 0.0059 max mem: 31630 Epoch: [38] [3500/5278] eta: 1:20:14 lr: 2.347150194869829e-06 loss: 0.0334 (0.0341) loss_seg: 0.0331 (0.0339) loss_lansim: 0.0257 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.9405 data: 0.0059 max mem: 31630 Epoch: [38] [3510/5278] eta: 1:19:48 lr: 2.3441557441750515e-06 loss: 0.0338 (0.0342) loss_seg: 0.0335 (0.0339) loss_lansim: 0.0264 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.9441 data: 0.0059 max mem: 31630 Epoch: [38] [3520/5278] eta: 1:19:23 lr: 2.3411608684037193e-06 loss: 0.0334 (0.0342) loss_seg: 0.0331 (0.0339) loss_lansim: 0.0265 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.9475 data: 0.0059 max mem: 31630 Epoch: [38] [3530/5278] eta: 1:18:57 lr: 2.3381655668911364e-06 loss: 0.0334 (0.0342) loss_seg: 0.0331 (0.0339) loss_lansim: 0.0267 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.9476 data: 0.0058 max mem: 31630 Epoch: [38] [3540/5278] eta: 1:18:31 lr: 2.335169838970615e-06 loss: 0.0331 (0.0342) loss_seg: 0.0328 (0.0339) loss_lansim: 0.0269 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.9477 data: 0.0058 max mem: 31630 Epoch: [38] [3550/5278] eta: 1:18:05 lr: 2.3321736839734685e-06 loss: 0.0331 (0.0342) loss_seg: 0.0328 (0.0339) loss_lansim: 0.0270 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.9477 data: 0.0058 max mem: 31630 Epoch: [38] [3560/5278] eta: 1:17:39 lr: 2.329177101229015e-06 loss: 0.0338 (0.0342) loss_seg: 0.0335 (0.0339) loss_lansim: 0.0269 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.9489 data: 0.0058 max mem: 31630 Epoch: [38] [3570/5278] eta: 1:17:13 lr: 2.326180090064538e-06 loss: 0.0345 (0.0342) loss_seg: 0.0343 (0.0339) loss_lansim: 0.0268 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.9487 data: 0.0059 max mem: 31630 Epoch: [38] [3580/5278] eta: 1:16:47 lr: 2.323182649805317e-06 loss: 0.0334 (0.0342) loss_seg: 0.0331 (0.0339) loss_lansim: 0.0268 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.9488 data: 0.0059 max mem: 31630 Epoch: [38] [3590/5278] eta: 1:16:21 lr: 2.3201847797745953e-06 loss: 0.0334 (0.0342) loss_seg: 0.0331 (0.0339) loss_lansim: 0.0267 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.9483 data: 0.0060 max mem: 31630 Epoch: [38] [3600/5278] eta: 1:15:55 lr: 2.317186479293582e-06 loss: 0.0345 (0.0342) loss_seg: 0.0341 (0.0340) loss_lansim: 0.0268 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.9489 data: 0.0061 max mem: 31630 Epoch: [38] [3610/5278] eta: 1:15:29 lr: 2.3141877476814142e-06 loss: 0.0341 (0.0342) loss_seg: 0.0338 (0.0339) loss_lansim: 0.0266 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.9483 data: 0.0063 max mem: 31630 Epoch: [38] [3620/5278] eta: 1:15:03 lr: 2.3111885842551933e-06 loss: 0.0345 (0.0342) loss_seg: 0.0341 (0.0339) loss_lansim: 0.0266 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.9476 data: 0.0064 max mem: 31630 Epoch: [38] [3630/5278] eta: 1:14:36 lr: 2.308188988329944e-06 loss: 0.0345 (0.0342) loss_seg: 0.0341 (0.0340) loss_lansim: 0.0263 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.9468 data: 0.0065 max mem: 31630 Epoch: [38] [3640/5278] eta: 1:14:10 lr: 2.305188959218621e-06 loss: 0.0346 (0.0342) loss_seg: 0.0343 (0.0340) loss_lansim: 0.0262 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.9484 data: 0.0066 max mem: 31630 Epoch: [38] [3650/5278] eta: 1:13:44 lr: 2.3021884962320717e-06 loss: 0.0348 (0.0342) loss_seg: 0.0345 (0.0340) loss_lansim: 0.0261 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.9502 data: 0.0067 max mem: 31630 Epoch: [38] [3660/5278] eta: 1:13:18 lr: 2.2991875986790685e-06 loss: 0.0330 (0.0342) loss_seg: 0.0328 (0.0340) loss_lansim: 0.0260 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.9497 data: 0.0066 max mem: 31630 Epoch: [38] [3670/5278] eta: 1:12:52 lr: 2.2961862658662705e-06 loss: 0.0333 (0.0342) loss_seg: 0.0331 (0.0340) loss_lansim: 0.0259 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.9510 data: 0.0065 max mem: 31630 Epoch: [38] [3680/5278] eta: 1:12:26 lr: 2.2931844970982303e-06 loss: 0.0342 (0.0342) loss_seg: 0.0339 (0.0340) loss_lansim: 0.0258 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.9515 data: 0.0064 max mem: 31630 Epoch: [38] [3690/5278] eta: 1:11:59 lr: 2.2901822916773535e-06 loss: 0.0336 (0.0342) loss_seg: 0.0333 (0.0339) loss_lansim: 0.0261 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.9498 data: 0.0064 max mem: 31630 Epoch: [38] [3700/5278] eta: 1:11:33 lr: 2.2871796489039343e-06 loss: 0.0333 (0.0342) loss_seg: 0.0330 (0.0339) loss_lansim: 0.0263 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.9495 data: 0.0062 max mem: 31630 Epoch: [38] [3710/5278] eta: 1:11:07 lr: 2.2841765680761146e-06 loss: 0.0332 (0.0342) loss_seg: 0.0329 (0.0339) loss_lansim: 0.0264 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.9486 data: 0.0061 max mem: 31630 Epoch: [38] [3720/5278] eta: 1:10:41 lr: 2.2811730484898907e-06 loss: 0.0328 (0.0342) loss_seg: 0.0325 (0.0339) loss_lansim: 0.0264 (0.0269) loss_contra: 0.0001 (0.0008) time: 2.9484 data: 0.0061 max mem: 31630 Epoch: [38] [3730/5278] eta: 1:10:14 lr: 2.2781690894390753e-06 loss: 0.0324 (0.0342) loss_seg: 0.0321 (0.0339) loss_lansim: 0.0264 (0.0269) loss_contra: 0.0001 (0.0008) time: 2.9497 data: 0.0061 max mem: 31630 Epoch: [38] [3740/5278] eta: 1:09:48 lr: 2.275164690215328e-06 loss: 0.0326 (0.0342) loss_seg: 0.0324 (0.0339) loss_lansim: 0.0264 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.9499 data: 0.0060 max mem: 31630 Epoch: [38] [3750/5278] eta: 1:09:22 lr: 2.2721598501081185e-06 loss: 0.0327 (0.0342) loss_seg: 0.0324 (0.0339) loss_lansim: 0.0262 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.9497 data: 0.0061 max mem: 31630 Epoch: [38] [3760/5278] eta: 1:08:56 lr: 2.269154568404731e-06 loss: 0.0332 (0.0342) loss_seg: 0.0328 (0.0339) loss_lansim: 0.0261 (0.0269) loss_contra: 0.0001 (0.0008) time: 2.9508 data: 0.0061 max mem: 31630 Epoch: [38] [3770/5278] eta: 1:08:29 lr: 2.2661488443902276e-06 loss: 0.0325 (0.0342) loss_seg: 0.0323 (0.0339) loss_lansim: 0.0258 (0.0269) loss_contra: 0.0001 (0.0008) time: 2.9499 data: 0.0063 max mem: 31630 Epoch: [38] [3780/5278] eta: 1:08:03 lr: 2.263142677347475e-06 loss: 0.0319 (0.0342) loss_seg: 0.0317 (0.0339) loss_lansim: 0.0261 (0.0269) loss_contra: 0.0001 (0.0008) time: 2.9495 data: 0.0063 max mem: 31630 Epoch: [38] [3790/5278] eta: 1:07:36 lr: 2.260136066557113e-06 loss: 0.0317 (0.0342) loss_seg: 0.0315 (0.0339) loss_lansim: 0.0254 (0.0269) loss_contra: 0.0001 (0.0008) time: 2.9507 data: 0.0064 max mem: 31630 Epoch: [38] [3800/5278] eta: 1:07:10 lr: 2.2571290112975456e-06 loss: 0.0319 (0.0342) loss_seg: 0.0317 (0.0339) loss_lansim: 0.0253 (0.0269) loss_contra: 0.0001 (0.0008) time: 2.9514 data: 0.0065 max mem: 31630 Epoch: [38] [3810/5278] eta: 1:06:44 lr: 2.254121510844943e-06 loss: 0.0321 (0.0342) loss_seg: 0.0319 (0.0339) loss_lansim: 0.0253 (0.0269) loss_contra: 0.0001 (0.0007) time: 2.9533 data: 0.0066 max mem: 31630 Epoch: [38] [3820/5278] eta: 1:06:17 lr: 2.2511135644731988e-06 loss: 0.0321 (0.0342) loss_seg: 0.0319 (0.0339) loss_lansim: 0.0252 (0.0269) loss_contra: 0.0001 (0.0008) time: 2.9536 data: 0.0065 max mem: 31630 Epoch: [38] [3830/5278] eta: 1:05:51 lr: 2.248105171453963e-06 loss: 0.0319 (0.0342) loss_seg: 0.0317 (0.0339) loss_lansim: 0.0252 (0.0269) loss_contra: 0.0001 (0.0008) time: 2.9522 data: 0.0064 max mem: 31630 Epoch: [38] [3840/5278] eta: 1:05:24 lr: 2.2450963310566066e-06 loss: 0.0314 (0.0342) loss_seg: 0.0312 (0.0339) loss_lansim: 0.0252 (0.0269) loss_contra: 0.0001 (0.0008) time: 2.9545 data: 0.0064 max mem: 31630 Epoch: [38] [3850/5278] eta: 1:04:58 lr: 2.24208704254822e-06 loss: 0.0312 (0.0342) loss_seg: 0.0309 (0.0339) loss_lansim: 0.0254 (0.0269) loss_contra: 0.0001 (0.0008) time: 2.9573 data: 0.0063 max mem: 31630 Epoch: [38] [3860/5278] eta: 1:04:32 lr: 2.2390773051935767e-06 loss: 0.0312 (0.0342) loss_seg: 0.0309 (0.0339) loss_lansim: 0.0258 (0.0269) loss_contra: 0.0001 (0.0008) time: 2.9588 data: 0.0062 max mem: 31630 Epoch: [38] [3870/5278] eta: 1:04:05 lr: 2.236067118255168e-06 loss: 0.0311 (0.0342) loss_seg: 0.0309 (0.0339) loss_lansim: 0.0260 (0.0269) loss_contra: 0.0001 (0.0008) time: 2.9622 data: 0.0061 max mem: 31630 Epoch: [38] [3880/5278] eta: 1:03:39 lr: 2.233056480993158e-06 loss: 0.0317 (0.0342) loss_seg: 0.0315 (0.0339) loss_lansim: 0.0257 (0.0269) loss_contra: 0.0001 (0.0008) time: 2.9627 data: 0.0061 max mem: 31630 Epoch: [38] [3890/5278] eta: 1:03:12 lr: 2.2300453926653907e-06 loss: 0.0323 (0.0342) loss_seg: 0.0320 (0.0339) loss_lansim: 0.0261 (0.0269) loss_contra: 0.0001 (0.0008) time: 2.9585 data: 0.0060 max mem: 31630 Epoch: [38] [3900/5278] eta: 1:02:45 lr: 2.227033852527353e-06 loss: 0.0323 (0.0342) loss_seg: 0.0320 (0.0339) loss_lansim: 0.0262 (0.0269) loss_contra: 0.0001 (0.0008) time: 2.9552 data: 0.0059 max mem: 31630 Epoch: [38] [3910/5278] eta: 1:02:19 lr: 2.2240218598321993e-06 loss: 0.0324 (0.0342) loss_seg: 0.0321 (0.0339) loss_lansim: 0.0264 (0.0269) loss_contra: 0.0001 (0.0008) time: 2.9503 data: 0.0057 max mem: 31630 Epoch: [38] [3920/5278] eta: 1:01:52 lr: 2.2210094138307197e-06 loss: 0.0334 (0.0342) loss_seg: 0.0331 (0.0339) loss_lansim: 0.0267 (0.0269) loss_contra: 0.0001 (0.0008) time: 2.9462 data: 0.0057 max mem: 31630 Epoch: [38] [3930/5278] eta: 1:01:25 lr: 2.217996513771339e-06 loss: 0.0337 (0.0342) loss_seg: 0.0335 (0.0339) loss_lansim: 0.0267 (0.0269) loss_contra: 0.0001 (0.0008) time: 2.9427 data: 0.0057 max mem: 31630 Epoch: [38] [3940/5278] eta: 1:00:59 lr: 2.2149831589000776e-06 loss: 0.0338 (0.0342) loss_seg: 0.0335 (0.0339) loss_lansim: 0.0268 (0.0269) loss_contra: 0.0001 (0.0008) time: 2.9358 data: 0.0057 max mem: 31630 Epoch: [38] [3950/5278] eta: 1:00:32 lr: 2.2119693484605847e-06 loss: 0.0335 (0.0342) loss_seg: 0.0332 (0.0339) loss_lansim: 0.0267 (0.0269) loss_contra: 0.0001 (0.0008) time: 2.9283 data: 0.0057 max mem: 31630 Epoch: [38] [3960/5278] eta: 1:00:05 lr: 2.2089550816940956e-06 loss: 0.0333 (0.0342) loss_seg: 0.0330 (0.0339) loss_lansim: 0.0267 (0.0269) loss_contra: 0.0001 (0.0008) time: 2.9228 data: 0.0057 max mem: 31630 Epoch: [38] [3970/5278] eta: 0:59:38 lr: 2.205940357839438e-06 loss: 0.0333 (0.0342) loss_seg: 0.0330 (0.0339) loss_lansim: 0.0268 (0.0269) loss_contra: 0.0001 (0.0008) time: 2.9213 data: 0.0057 max mem: 31630 Epoch: [38] [3980/5278] eta: 0:59:12 lr: 2.2029251761329905e-06 loss: 0.0334 (0.0342) loss_seg: 0.0331 (0.0339) loss_lansim: 0.0268 (0.0269) loss_contra: 0.0001 (0.0008) time: 2.9236 data: 0.0058 max mem: 31630 Epoch: [38] [3990/5278] eta: 0:58:45 lr: 2.1999095358087135e-06 loss: 0.0328 (0.0342) loss_seg: 0.0326 (0.0339) loss_lansim: 0.0267 (0.0269) loss_contra: 0.0001 (0.0008) time: 2.9297 data: 0.0058 max mem: 31630 Epoch: [38] [4000/5278] eta: 0:58:19 lr: 2.1968934360981093e-06 loss: 0.0328 (0.0342) loss_seg: 0.0326 (0.0339) loss_lansim: 0.0267 (0.0269) loss_contra: 0.0001 (0.0008) time: 2.9355 data: 0.0058 max mem: 31630 Epoch: [38] [4010/5278] eta: 0:57:52 lr: 2.193876876230226e-06 loss: 0.0328 (0.0342) loss_seg: 0.0326 (0.0339) loss_lansim: 0.0267 (0.0269) loss_contra: 0.0001 (0.0008) time: 2.9422 data: 0.0058 max mem: 31630 Epoch: [38] [4020/5278] eta: 0:57:25 lr: 2.1908598554316156e-06 loss: 0.0326 (0.0342) loss_seg: 0.0323 (0.0339) loss_lansim: 0.0262 (0.0269) loss_contra: 0.0001 (0.0008) time: 2.9483 data: 0.0058 max mem: 31630 Epoch: [38] [4030/5278] eta: 0:56:59 lr: 2.1878423729263673e-06 loss: 0.0322 (0.0342) loss_seg: 0.0320 (0.0339) loss_lansim: 0.0262 (0.0269) loss_contra: 0.0001 (0.0008) time: 2.9539 data: 0.0058 max mem: 31630 Epoch: [38] [4040/5278] eta: 0:56:32 lr: 2.1848244279360638e-06 loss: 0.0312 (0.0341) loss_seg: 0.0309 (0.0339) loss_lansim: 0.0266 (0.0269) loss_contra: 0.0001 (0.0008) time: 2.9590 data: 0.0058 max mem: 31630 Epoch: [38] [4050/5278] eta: 0:56:05 lr: 2.1818060196797803e-06 loss: 0.0312 (0.0341) loss_seg: 0.0309 (0.0339) loss_lansim: 0.0262 (0.0269) loss_contra: 0.0001 (0.0008) time: 2.9664 data: 0.0058 max mem: 31630 Epoch: [38] [4060/5278] eta: 0:55:38 lr: 2.1787871473740767e-06 loss: 0.0299 (0.0341) loss_seg: 0.0296 (0.0339) loss_lansim: 0.0268 (0.0269) loss_contra: 0.0001 (0.0008) time: 2.9706 data: 0.0058 max mem: 31630 Epoch: [38] [4070/5278] eta: 0:55:12 lr: 2.1757678102329585e-06 loss: 0.0316 (0.0341) loss_seg: 0.0312 (0.0339) loss_lansim: 0.0266 (0.0269) loss_contra: 0.0001 (0.0008) time: 2.9704 data: 0.0058 max mem: 31630 Epoch: [38] [4080/5278] eta: 0:54:45 lr: 2.172748007467908e-06 loss: 0.0316 (0.0341) loss_seg: 0.0312 (0.0339) loss_lansim: 0.0266 (0.0269) loss_contra: 0.0001 (0.0008) time: 2.9696 data: 0.0059 max mem: 31630 Epoch: [38] [4090/5278] eta: 0:54:18 lr: 2.1697277382878415e-06 loss: 0.0310 (0.0341) loss_seg: 0.0308 (0.0339) loss_lansim: 0.0263 (0.0269) loss_contra: 0.0001 (0.0008) time: 2.9704 data: 0.0059 max mem: 31630 Epoch: [38] [4100/5278] eta: 0:53:51 lr: 2.1667070018991134e-06 loss: 0.0304 (0.0341) loss_seg: 0.0301 (0.0339) loss_lansim: 0.0261 (0.0269) loss_contra: 0.0001 (0.0008) time: 2.9699 data: 0.0059 max mem: 31630 Epoch: [38] [4110/5278] eta: 0:53:25 lr: 2.1636857975054747e-06 loss: 0.0303 (0.0341) loss_seg: 0.0300 (0.0339) loss_lansim: 0.0261 (0.0269) loss_contra: 0.0001 (0.0008) time: 2.9702 data: 0.0059 max mem: 31630 Epoch: [38] [4120/5278] eta: 0:52:58 lr: 2.160664124308102e-06 loss: 0.0316 (0.0342) loss_seg: 0.0312 (0.0339) loss_lansim: 0.0263 (0.0269) loss_contra: 0.0001 (0.0008) time: 2.9704 data: 0.0059 max mem: 31630 Epoch: [38] [4130/5278] eta: 0:52:31 lr: 2.1576419815055593e-06 loss: 0.0322 (0.0342) loss_seg: 0.0319 (0.0339) loss_lansim: 0.0264 (0.0269) loss_contra: 0.0001 (0.0008) time: 2.9698 data: 0.0058 max mem: 31630 Epoch: [38] [4140/5278] eta: 0:52:04 lr: 2.154619368293797e-06 loss: 0.0338 (0.0342) loss_seg: 0.0335 (0.0339) loss_lansim: 0.0262 (0.0269) loss_contra: 0.0001 (0.0008) time: 2.9695 data: 0.0058 max mem: 31630 Epoch: [38] [4150/5278] eta: 0:51:37 lr: 2.1515962838661116e-06 loss: 0.0338 (0.0342) loss_seg: 0.0335 (0.0339) loss_lansim: 0.0264 (0.0269) loss_contra: 0.0001 (0.0008) time: 2.9683 data: 0.0058 max mem: 31630 Epoch: [38] [4160/5278] eta: 0:51:10 lr: 2.148572727413177e-06 loss: 0.0348 (0.0342) loss_seg: 0.0345 (0.0339) loss_lansim: 0.0261 (0.0269) loss_contra: 0.0001 (0.0008) time: 2.9684 data: 0.0059 max mem: 31630 Epoch: [38] [4170/5278] eta: 0:50:44 lr: 2.1455486981230005e-06 loss: 0.0335 (0.0342) loss_seg: 0.0332 (0.0339) loss_lansim: 0.0260 (0.0269) loss_contra: 0.0001 (0.0008) time: 2.9695 data: 0.0059 max mem: 31630 Epoch: [38] [4180/5278] eta: 0:50:17 lr: 2.142524195180927e-06 loss: 0.0321 (0.0341) loss_seg: 0.0319 (0.0339) loss_lansim: 0.0261 (0.0269) loss_contra: 0.0001 (0.0008) time: 2.9692 data: 0.0059 max mem: 31630 Epoch: [38] [4190/5278] eta: 0:49:50 lr: 2.139499217769596e-06 loss: 0.0321 (0.0341) loss_seg: 0.0319 (0.0339) loss_lansim: 0.0262 (0.0269) loss_contra: 0.0001 (0.0008) time: 2.9675 data: 0.0058 max mem: 31630 Epoch: [38] [4200/5278] eta: 0:49:23 lr: 2.1364737650689707e-06 loss: 0.0334 (0.0341) loss_seg: 0.0331 (0.0339) loss_lansim: 0.0263 (0.0269) loss_contra: 0.0001 (0.0008) time: 2.9671 data: 0.0058 max mem: 31630 Epoch: [38] [4210/5278] eta: 0:48:56 lr: 2.1334478362562983e-06 loss: 0.0329 (0.0341) loss_seg: 0.0327 (0.0339) loss_lansim: 0.0262 (0.0269) loss_contra: 0.0001 (0.0008) time: 2.9664 data: 0.0058 max mem: 31630 Epoch: [38] [4220/5278] eta: 0:48:29 lr: 2.1304214305061085e-06 loss: 0.0321 (0.0341) loss_seg: 0.0318 (0.0339) loss_lansim: 0.0262 (0.0269) loss_contra: 0.0001 (0.0008) time: 2.9661 data: 0.0059 max mem: 31630 Epoch: [38] [4230/5278] eta: 0:48:02 lr: 2.1273945469901744e-06 loss: 0.0321 (0.0342) loss_seg: 0.0319 (0.0339) loss_lansim: 0.0257 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9651 data: 0.0059 max mem: 31630 Epoch: [38] [4240/5278] eta: 0:47:35 lr: 2.124367184877539e-06 loss: 0.0321 (0.0341) loss_seg: 0.0318 (0.0339) loss_lansim: 0.0262 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9646 data: 0.0059 max mem: 31630 Epoch: [38] [4250/5278] eta: 0:47:08 lr: 2.121339343334477e-06 loss: 0.0321 (0.0341) loss_seg: 0.0318 (0.0339) loss_lansim: 0.0257 (0.0268) loss_contra: 0.0000 (0.0008) time: 2.9635 data: 0.0060 max mem: 31630 Epoch: [38] [4260/5278] eta: 0:46:41 lr: 2.1183110215244898e-06 loss: 0.0321 (0.0341) loss_seg: 0.0318 (0.0339) loss_lansim: 0.0262 (0.0268) loss_contra: 0.0000 (0.0008) time: 2.9656 data: 0.0059 max mem: 31630 Epoch: [38] [4270/5278] eta: 0:46:14 lr: 2.1152822186082696e-06 loss: 0.0332 (0.0341) loss_seg: 0.0329 (0.0339) loss_lansim: 0.0263 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9646 data: 0.0059 max mem: 31630 Epoch: [38] [4280/5278] eta: 0:45:47 lr: 2.1122529337437237e-06 loss: 0.0338 (0.0341) loss_seg: 0.0336 (0.0339) loss_lansim: 0.0260 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9639 data: 0.0059 max mem: 31630 Epoch: [38] [4290/5278] eta: 0:45:20 lr: 2.1092231660859345e-06 loss: 0.0340 (0.0341) loss_seg: 0.0337 (0.0339) loss_lansim: 0.0258 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9634 data: 0.0060 max mem: 31630 Epoch: [38] [4300/5278] eta: 0:44:53 lr: 2.1061929147871526e-06 loss: 0.0326 (0.0341) loss_seg: 0.0323 (0.0339) loss_lansim: 0.0258 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9625 data: 0.0060 max mem: 31630 Epoch: [38] [4310/5278] eta: 0:44:26 lr: 2.103162178996788e-06 loss: 0.0324 (0.0341) loss_seg: 0.0321 (0.0339) loss_lansim: 0.0260 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9617 data: 0.0060 max mem: 31630 Epoch: [38] [4320/5278] eta: 0:43:59 lr: 2.100130957861369e-06 loss: 0.0326 (0.0341) loss_seg: 0.0323 (0.0339) loss_lansim: 0.0258 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9607 data: 0.0060 max mem: 31630 Epoch: [38] [4330/5278] eta: 0:43:32 lr: 2.097099250524572e-06 loss: 0.0324 (0.0341) loss_seg: 0.0321 (0.0338) loss_lansim: 0.0258 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9623 data: 0.0059 max mem: 31630 Epoch: [38] [4340/5278] eta: 0:43:04 lr: 2.0940670561271756e-06 loss: 0.0329 (0.0341) loss_seg: 0.0327 (0.0338) loss_lansim: 0.0258 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9631 data: 0.0059 max mem: 31630 Epoch: [38] [4350/5278] eta: 0:42:37 lr: 2.091034373807063e-06 loss: 0.0326 (0.0341) loss_seg: 0.0323 (0.0338) loss_lansim: 0.0258 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9630 data: 0.0060 max mem: 31630 Epoch: [38] [4360/5278] eta: 0:42:10 lr: 2.088001202699178e-06 loss: 0.0324 (0.0341) loss_seg: 0.0321 (0.0338) loss_lansim: 0.0258 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9623 data: 0.0060 max mem: 31630 Epoch: [38] [4370/5278] eta: 0:41:43 lr: 2.084967541935552e-06 loss: 0.0324 (0.0341) loss_seg: 0.0321 (0.0338) loss_lansim: 0.0258 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9619 data: 0.0060 max mem: 31630 Epoch: [38] [4380/5278] eta: 0:41:16 lr: 2.0819333906452635e-06 loss: 0.0326 (0.0341) loss_seg: 0.0323 (0.0338) loss_lansim: 0.0258 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9639 data: 0.0059 max mem: 31630 Epoch: [38] [4390/5278] eta: 0:40:49 lr: 2.0788987479544354e-06 loss: 0.0329 (0.0341) loss_seg: 0.0327 (0.0338) loss_lansim: 0.0255 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9661 data: 0.0059 max mem: 31630 Epoch: [38] [4400/5278] eta: 0:40:22 lr: 2.0758636129861924e-06 loss: 0.0333 (0.0341) loss_seg: 0.0330 (0.0338) loss_lansim: 0.0254 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9683 data: 0.0059 max mem: 31630 Epoch: [38] [4410/5278] eta: 0:39:55 lr: 2.0728279848606877e-06 loss: 0.0333 (0.0341) loss_seg: 0.0330 (0.0338) loss_lansim: 0.0254 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9691 data: 0.0059 max mem: 31630 Epoch: [38] [4420/5278] eta: 0:39:27 lr: 2.0697918626950625e-06 loss: 0.0333 (0.0341) loss_seg: 0.0330 (0.0339) loss_lansim: 0.0254 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9702 data: 0.0059 max mem: 31630 Epoch: [38] [4430/5278] eta: 0:39:00 lr: 2.06675524560344e-06 loss: 0.0331 (0.0341) loss_seg: 0.0328 (0.0338) loss_lansim: 0.0254 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9691 data: 0.0059 max mem: 31630 Epoch: [38] [4440/5278] eta: 0:38:33 lr: 2.0637181326968866e-06 loss: 0.0329 (0.0341) loss_seg: 0.0327 (0.0338) loss_lansim: 0.0254 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9707 data: 0.0059 max mem: 31630 Epoch: [38] [4450/5278] eta: 0:38:06 lr: 2.060680523083436e-06 loss: 0.0331 (0.0341) loss_seg: 0.0328 (0.0338) loss_lansim: 0.0252 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9721 data: 0.0058 max mem: 31630 Epoch: [38] [4460/5278] eta: 0:37:38 lr: 2.057642415868047e-06 loss: 0.0337 (0.0341) loss_seg: 0.0332 (0.0339) loss_lansim: 0.0255 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9704 data: 0.0058 max mem: 31630 Epoch: [38] [4470/5278] eta: 0:37:11 lr: 2.0546038101526013e-06 loss: 0.0341 (0.0341) loss_seg: 0.0339 (0.0339) loss_lansim: 0.0254 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9711 data: 0.0058 max mem: 31630 Epoch: [38] [4480/5278] eta: 0:36:44 lr: 2.0515647050358593e-06 loss: 0.0340 (0.0341) loss_seg: 0.0337 (0.0339) loss_lansim: 0.0254 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9709 data: 0.0058 max mem: 31630 Epoch: [38] [4490/5278] eta: 0:36:17 lr: 2.0485250996134865e-06 loss: 0.0340 (0.0341) loss_seg: 0.0337 (0.0339) loss_lansim: 0.0255 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9683 data: 0.0058 max mem: 31630 Epoch: [38] [4500/5278] eta: 0:35:49 lr: 2.0454849929780117e-06 loss: 0.0340 (0.0342) loss_seg: 0.0337 (0.0339) loss_lansim: 0.0255 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9672 data: 0.0059 max mem: 31630 Epoch: [38] [4510/5278] eta: 0:35:22 lr: 2.0424443842188206e-06 loss: 0.0354 (0.0342) loss_seg: 0.0351 (0.0339) loss_lansim: 0.0257 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9680 data: 0.0059 max mem: 31630 Epoch: [38] [4520/5278] eta: 0:34:55 lr: 2.0394032724221162e-06 loss: 0.0351 (0.0342) loss_seg: 0.0348 (0.0339) loss_lansim: 0.0258 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9665 data: 0.0059 max mem: 31630 Epoch: [38] [4530/5278] eta: 0:34:28 lr: 2.0363616566709415e-06 loss: 0.0351 (0.0342) loss_seg: 0.0348 (0.0339) loss_lansim: 0.0258 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9667 data: 0.0059 max mem: 31630 Epoch: [38] [4540/5278] eta: 0:34:00 lr: 2.033319536045136e-06 loss: 0.0340 (0.0341) loss_seg: 0.0337 (0.0339) loss_lansim: 0.0258 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9650 data: 0.0060 max mem: 31630 Epoch: [38] [4550/5278] eta: 0:33:33 lr: 2.0302769096213277e-06 loss: 0.0334 (0.0341) loss_seg: 0.0332 (0.0339) loss_lansim: 0.0261 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9656 data: 0.0060 max mem: 31630 Epoch: [38] [4560/5278] eta: 0:33:06 lr: 2.0272337764729205e-06 loss: 0.0327 (0.0341) loss_seg: 0.0325 (0.0339) loss_lansim: 0.0258 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9685 data: 0.0060 max mem: 31630 Epoch: [38] [4570/5278] eta: 0:32:38 lr: 2.024190135670053e-06 loss: 0.0326 (0.0341) loss_seg: 0.0323 (0.0339) loss_lansim: 0.0259 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9710 data: 0.0060 max mem: 31630 Epoch: [38] [4580/5278] eta: 0:32:11 lr: 2.0211459862796206e-06 loss: 0.0324 (0.0341) loss_seg: 0.0321 (0.0339) loss_lansim: 0.0261 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9701 data: 0.0060 max mem: 31630 Epoch: [38] [4590/5278] eta: 0:31:44 lr: 2.0181013273652313e-06 loss: 0.0316 (0.0341) loss_seg: 0.0314 (0.0339) loss_lansim: 0.0263 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9724 data: 0.0059 max mem: 31630 Epoch: [38] [4600/5278] eta: 0:31:16 lr: 2.015056157987206e-06 loss: 0.0308 (0.0341) loss_seg: 0.0306 (0.0339) loss_lansim: 0.0263 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9715 data: 0.0059 max mem: 31630 Epoch: [38] [4610/5278] eta: 0:30:49 lr: 2.0120104772025266e-06 loss: 0.0304 (0.0341) loss_seg: 0.0301 (0.0339) loss_lansim: 0.0264 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9705 data: 0.0060 max mem: 31630 Epoch: [38] [4620/5278] eta: 0:30:21 lr: 2.0089642840648685e-06 loss: 0.0305 (0.0342) loss_seg: 0.0302 (0.0339) loss_lansim: 0.0264 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9713 data: 0.0060 max mem: 31630 Epoch: [38] [4630/5278] eta: 0:29:54 lr: 2.005917577624549e-06 loss: 0.0318 (0.0342) loss_seg: 0.0315 (0.0339) loss_lansim: 0.0263 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9727 data: 0.0060 max mem: 31630 Epoch: [38] [4640/5278] eta: 0:29:27 lr: 2.002870356928527e-06 loss: 0.0318 (0.0342) loss_seg: 0.0315 (0.0339) loss_lansim: 0.0264 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9739 data: 0.0059 max mem: 31630 Epoch: [38] [4650/5278] eta: 0:28:59 lr: 1.9998226210203556e-06 loss: 0.0316 (0.0342) loss_seg: 0.0313 (0.0339) loss_lansim: 0.0263 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9729 data: 0.0059 max mem: 31630 Epoch: [38] [4660/5278] eta: 0:28:32 lr: 1.996774368940209e-06 loss: 0.0321 (0.0342) loss_seg: 0.0319 (0.0339) loss_lansim: 0.0265 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9698 data: 0.0059 max mem: 31630 Epoch: [38] [4670/5278] eta: 0:28:04 lr: 1.9937255997248326e-06 loss: 0.0316 (0.0341) loss_seg: 0.0313 (0.0339) loss_lansim: 0.0264 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9665 data: 0.0060 max mem: 31630 Epoch: [38] [4680/5278] eta: 0:27:37 lr: 1.990676312407544e-06 loss: 0.0316 (0.0341) loss_seg: 0.0313 (0.0339) loss_lansim: 0.0263 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9677 data: 0.0060 max mem: 31630 Epoch: [38] [4690/5278] eta: 0:27:09 lr: 1.987626506018181e-06 loss: 0.0316 (0.0341) loss_seg: 0.0314 (0.0339) loss_lansim: 0.0261 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9661 data: 0.0060 max mem: 31630 Epoch: [38] [4700/5278] eta: 0:26:42 lr: 1.9845761795831306e-06 loss: 0.0316 (0.0341) loss_seg: 0.0314 (0.0339) loss_lansim: 0.0261 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9675 data: 0.0059 max mem: 31630 Epoch: [38] [4710/5278] eta: 0:26:14 lr: 1.9815253321252804e-06 loss: 0.0316 (0.0341) loss_seg: 0.0314 (0.0339) loss_lansim: 0.0259 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9658 data: 0.0059 max mem: 31630 Epoch: [38] [4720/5278] eta: 0:25:47 lr: 1.9784739626640124e-06 loss: 0.0316 (0.0341) loss_seg: 0.0313 (0.0339) loss_lansim: 0.0259 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9653 data: 0.0059 max mem: 31630 Epoch: [38] [4730/5278] eta: 0:25:19 lr: 1.97542207021516e-06 loss: 0.0305 (0.0341) loss_seg: 0.0302 (0.0339) loss_lansim: 0.0259 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9641 data: 0.0059 max mem: 31630 Epoch: [38] [4740/5278] eta: 0:24:52 lr: 1.972369653791028e-06 loss: 0.0314 (0.0341) loss_seg: 0.0312 (0.0339) loss_lansim: 0.0259 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9634 data: 0.0060 max mem: 31630 Epoch: [38] [4750/5278] eta: 0:24:24 lr: 1.969316712400347e-06 loss: 0.0314 (0.0341) loss_seg: 0.0312 (0.0339) loss_lansim: 0.0257 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9644 data: 0.0060 max mem: 31630 Epoch: [38] [4760/5278] eta: 0:23:57 lr: 1.9662632450482628e-06 loss: 0.0315 (0.0341) loss_seg: 0.0312 (0.0339) loss_lansim: 0.0257 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9652 data: 0.0059 max mem: 31630 Epoch: [38] [4770/5278] eta: 0:23:29 lr: 1.9632092507363207e-06 loss: 0.0322 (0.0341) loss_seg: 0.0320 (0.0339) loss_lansim: 0.0257 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9662 data: 0.0059 max mem: 31630 Epoch: [38] [4780/5278] eta: 0:23:02 lr: 1.960154728462421e-06 loss: 0.0321 (0.0341) loss_seg: 0.0319 (0.0339) loss_lansim: 0.0257 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9652 data: 0.0059 max mem: 31630 Epoch: [38] [4790/5278] eta: 0:22:34 lr: 1.9570996772208413e-06 loss: 0.0322 (0.0341) loss_seg: 0.0320 (0.0339) loss_lansim: 0.0257 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9665 data: 0.0059 max mem: 31630 Epoch: [38] [4800/5278] eta: 0:22:07 lr: 1.954044096002188e-06 loss: 0.0329 (0.0341) loss_seg: 0.0327 (0.0339) loss_lansim: 0.0257 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9653 data: 0.0059 max mem: 31630 Epoch: [38] [4810/5278] eta: 0:21:39 lr: 1.95098798379339e-06 loss: 0.0322 (0.0342) loss_seg: 0.0320 (0.0339) loss_lansim: 0.0257 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9656 data: 0.0059 max mem: 31630 Epoch: [38] [4820/5278] eta: 0:21:11 lr: 1.947931339577653e-06 loss: 0.0330 (0.0342) loss_seg: 0.0327 (0.0339) loss_lansim: 0.0257 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9660 data: 0.0059 max mem: 31630 Epoch: [38] [4830/5278] eta: 0:20:44 lr: 1.9448741623344796e-06 loss: 0.0337 (0.0342) loss_seg: 0.0334 (0.0339) loss_lansim: 0.0257 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9654 data: 0.0059 max mem: 31630 Epoch: [38] [4840/5278] eta: 0:20:16 lr: 1.9418164510396215e-06 loss: 0.0333 (0.0342) loss_seg: 0.0330 (0.0339) loss_lansim: 0.0257 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9641 data: 0.0059 max mem: 31630 Epoch: [38] [4850/5278] eta: 0:19:49 lr: 1.938758204665074e-06 loss: 0.0340 (0.0342) loss_seg: 0.0337 (0.0339) loss_lansim: 0.0257 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9616 data: 0.0059 max mem: 31630 Epoch: [38] [4860/5278] eta: 0:19:21 lr: 1.9356994221790265e-06 loss: 0.0338 (0.0342) loss_seg: 0.0335 (0.0339) loss_lansim: 0.0258 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9617 data: 0.0059 max mem: 31630 Epoch: [38] [4870/5278] eta: 0:18:53 lr: 1.9326401025458847e-06 loss: 0.0337 (0.0342) loss_seg: 0.0334 (0.0339) loss_lansim: 0.0258 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9605 data: 0.0059 max mem: 31630 Epoch: [38] [4880/5278] eta: 0:18:26 lr: 1.9295802447262215e-06 loss: 0.0338 (0.0342) loss_seg: 0.0335 (0.0339) loss_lansim: 0.0256 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9595 data: 0.0060 max mem: 31630 Epoch: [38] [4890/5278] eta: 0:17:58 lr: 1.92651984767677e-06 loss: 0.0338 (0.0342) loss_seg: 0.0336 (0.0339) loss_lansim: 0.0255 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9577 data: 0.0060 max mem: 31630 Epoch: [38] [4900/5278] eta: 0:17:30 lr: 1.923458910350374e-06 loss: 0.0338 (0.0342) loss_seg: 0.0336 (0.0339) loss_lansim: 0.0257 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9579 data: 0.0059 max mem: 31630 Epoch: [38] [4910/5278] eta: 0:17:03 lr: 1.9203974316960103e-06 loss: 0.0336 (0.0342) loss_seg: 0.0333 (0.0339) loss_lansim: 0.0245 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9593 data: 0.0059 max mem: 31630 Epoch: [38] [4920/5278] eta: 0:16:35 lr: 1.9173354106587377e-06 loss: 0.0336 (0.0342) loss_seg: 0.0333 (0.0339) loss_lansim: 0.0249 (0.0268) loss_contra: 0.0000 (0.0008) time: 2.9607 data: 0.0058 max mem: 31630 Epoch: [38] [4930/5278] eta: 0:16:07 lr: 1.9142728461796913e-06 loss: 0.0333 (0.0342) loss_seg: 0.0331 (0.0339) loss_lansim: 0.0249 (0.0268) loss_contra: 0.0000 (0.0008) time: 2.9623 data: 0.0058 max mem: 31630 Epoch: [38] [4940/5278] eta: 0:15:40 lr: 1.91120973719603e-06 loss: 0.0336 (0.0342) loss_seg: 0.0333 (0.0339) loss_lansim: 0.0244 (0.0268) loss_contra: 0.0000 (0.0008) time: 2.9630 data: 0.0058 max mem: 31630 Epoch: [38] [4950/5278] eta: 0:15:12 lr: 1.90814608264096e-06 loss: 0.0331 (0.0342) loss_seg: 0.0328 (0.0339) loss_lansim: 0.0245 (0.0268) loss_contra: 0.0001 (0.0008) time: 2.9667 data: 0.0057 max mem: 31630 Epoch: [38] [4960/5278] eta: 0:14:44 lr: 1.9050818814436818e-06 loss: 0.0330 (0.0342) loss_seg: 0.0327 (0.0339) loss_lansim: 0.0244 (0.0267) loss_contra: 0.0001 (0.0008) time: 2.9682 data: 0.0057 max mem: 31630 Epoch: [38] [4970/5278] eta: 0:14:17 lr: 1.9020171325293846e-06 loss: 0.0328 (0.0342) loss_seg: 0.0326 (0.0339) loss_lansim: 0.0245 (0.0267) loss_contra: 0.0001 (0.0008) time: 2.9684 data: 0.0058 max mem: 31630 Epoch: [38] [4980/5278] eta: 0:13:49 lr: 1.8989518348191945e-06 loss: 0.0331 (0.0342) loss_seg: 0.0328 (0.0339) loss_lansim: 0.0246 (0.0267) loss_contra: 0.0001 (0.0008) time: 2.9687 data: 0.0057 max mem: 31630 Epoch: [38] [4990/5278] eta: 0:13:21 lr: 1.8958859872301941e-06 loss: 0.0328 (0.0342) loss_seg: 0.0326 (0.0339) loss_lansim: 0.0246 (0.0267) loss_contra: 0.0001 (0.0009) time: 2.9691 data: 0.0057 max mem: 31630 Epoch: [38] [5000/5278] eta: 0:12:53 lr: 1.8928195886753722e-06 loss: 0.0330 (0.0342) loss_seg: 0.0327 (0.0339) loss_lansim: 0.0249 (0.0267) loss_contra: 0.0001 (0.0009) time: 2.9684 data: 0.0058 max mem: 31630 Epoch: [38] [5010/5278] eta: 0:12:26 lr: 1.889752638063608e-06 loss: 0.0336 (0.0342) loss_seg: 0.0333 (0.0339) loss_lansim: 0.0250 (0.0267) loss_contra: 0.0001 (0.0008) time: 2.9693 data: 0.0057 max mem: 31630 Epoch: [38] [5020/5278] eta: 0:11:58 lr: 1.8866851342996556e-06 loss: 0.0339 (0.0342) loss_seg: 0.0336 (0.0339) loss_lansim: 0.0254 (0.0267) loss_contra: 0.0001 (0.0008) time: 2.9679 data: 0.0058 max mem: 31630 Epoch: [38] [5030/5278] eta: 0:11:30 lr: 1.8836170762840906e-06 loss: 0.0335 (0.0342) loss_seg: 0.0333 (0.0339) loss_lansim: 0.0254 (0.0267) loss_contra: 0.0001 (0.0008) time: 2.9669 data: 0.0058 max mem: 31630 Epoch: [38] [5040/5278] eta: 0:11:02 lr: 1.8805484629133324e-06 loss: 0.0330 (0.0342) loss_seg: 0.0327 (0.0339) loss_lansim: 0.0256 (0.0267) loss_contra: 0.0001 (0.0008) time: 2.9677 data: 0.0058 max mem: 31630 Epoch: [38] [5050/5278] eta: 0:10:35 lr: 1.8774792930795895e-06 loss: 0.0329 (0.0342) loss_seg: 0.0326 (0.0339) loss_lansim: 0.0259 (0.0267) loss_contra: 0.0001 (0.0008) time: 2.9645 data: 0.0058 max mem: 31630 Epoch: [38] [5060/5278] eta: 0:10:07 lr: 1.8744095656708517e-06 loss: 0.0326 (0.0342) loss_seg: 0.0324 (0.0339) loss_lansim: 0.0260 (0.0267) loss_contra: 0.0001 (0.0009) time: 2.9429 data: 0.0058 max mem: 31630 Epoch: [38] [5070/5278] eta: 0:09:39 lr: 1.8713392795708378e-06 loss: 0.0330 (0.0342) loss_seg: 0.0327 (0.0339) loss_lansim: 0.0259 (0.0267) loss_contra: 0.0001 (0.0009) time: 2.9118 data: 0.0057 max mem: 31630 Epoch: [38] [5080/5278] eta: 0:09:11 lr: 1.8682684336590127e-06 loss: 0.0325 (0.0342) loss_seg: 0.0323 (0.0339) loss_lansim: 0.0260 (0.0267) loss_contra: 0.0001 (0.0009) time: 2.8800 data: 0.0057 max mem: 31630 Epoch: [38] [5090/5278] eta: 0:08:43 lr: 1.8651970268105366e-06 loss: 0.0326 (0.0342) loss_seg: 0.0324 (0.0339) loss_lansim: 0.0259 (0.0267) loss_contra: 0.0001 (0.0009) time: 2.8480 data: 0.0057 max mem: 31630 Epoch: [38] [5100/5278] eta: 0:08:15 lr: 1.8621250578962535e-06 loss: 0.0319 (0.0342) loss_seg: 0.0317 (0.0339) loss_lansim: 0.0260 (0.0267) loss_contra: 0.0001 (0.0009) time: 2.8169 data: 0.0056 max mem: 31630 Epoch: [38] [5110/5278] eta: 0:07:47 lr: 1.8590525257826398e-06 loss: 0.0327 (0.0342) loss_seg: 0.0325 (0.0339) loss_lansim: 0.0259 (0.0267) loss_contra: 0.0001 (0.0009) time: 2.7826 data: 0.0056 max mem: 31630 Epoch: [38] [5120/5278] eta: 0:07:19 lr: 1.8559794293318194e-06 loss: 0.0312 (0.0342) loss_seg: 0.0309 (0.0339) loss_lansim: 0.0257 (0.0267) loss_contra: 0.0001 (0.0008) time: 2.7502 data: 0.0055 max mem: 31630 Epoch: [38] [5130/5278] eta: 0:06:51 lr: 1.852905767401514e-06 loss: 0.0320 (0.0342) loss_seg: 0.0317 (0.0339) loss_lansim: 0.0259 (0.0267) loss_contra: 0.0001 (0.0009) time: 2.7181 data: 0.0055 max mem: 31630 Epoch: [38] [5140/5278] eta: 0:06:24 lr: 1.8498315388450292e-06 loss: 0.0332 (0.0342) loss_seg: 0.0329 (0.0339) loss_lansim: 0.0260 (0.0267) loss_contra: 0.0001 (0.0009) time: 2.6840 data: 0.0054 max mem: 31630 Epoch: [38] [5150/5278] eta: 0:05:56 lr: 1.8467567425112016e-06 loss: 0.0332 (0.0342) loss_seg: 0.0329 (0.0339) loss_lansim: 0.0257 (0.0267) loss_contra: 0.0001 (0.0009) time: 2.6505 data: 0.0054 max mem: 31630 Epoch: [38] [5160/5278] eta: 0:05:28 lr: 1.8436813772444168e-06 loss: 0.0333 (0.0342) loss_seg: 0.0331 (0.0339) loss_lansim: 0.0258 (0.0267) loss_contra: 0.0001 (0.0009) time: 2.6358 data: 0.0054 max mem: 31630 Epoch: [38] [5170/5278] eta: 0:05:00 lr: 1.8406054418845548e-06 loss: 0.0336 (0.0342) loss_seg: 0.0333 (0.0339) loss_lansim: 0.0258 (0.0267) loss_contra: 0.0001 (0.0008) time: 2.6326 data: 0.0054 max mem: 31630 Epoch: [38] [5180/5278] eta: 0:04:32 lr: 1.837528935266977e-06 loss: 0.0340 (0.0342) loss_seg: 0.0338 (0.0339) loss_lansim: 0.0257 (0.0267) loss_contra: 0.0001 (0.0008) time: 2.6304 data: 0.0054 max mem: 31630 Epoch: [38] [5190/5278] eta: 0:04:04 lr: 1.8344518562224737e-06 loss: 0.0338 (0.0342) loss_seg: 0.0335 (0.0339) loss_lansim: 0.0258 (0.0267) loss_contra: 0.0001 (0.0008) time: 2.6282 data: 0.0054 max mem: 31630 Epoch: [38] [5200/5278] eta: 0:03:36 lr: 1.8313742035772797e-06 loss: 0.0336 (0.0342) loss_seg: 0.0333 (0.0339) loss_lansim: 0.0256 (0.0267) loss_contra: 0.0001 (0.0008) time: 2.6255 data: 0.0053 max mem: 31630 Epoch: [38] [5210/5278] eta: 0:03:09 lr: 1.8282959761530186e-06 loss: 0.0332 (0.0342) loss_seg: 0.0329 (0.0339) loss_lansim: 0.0257 (0.0267) loss_contra: 0.0001 (0.0008) time: 2.6233 data: 0.0053 max mem: 31630 Epoch: [38] [5220/5278] eta: 0:02:41 lr: 1.8252171727666912e-06 loss: 0.0327 (0.0342) loss_seg: 0.0324 (0.0339) loss_lansim: 0.0254 (0.0267) loss_contra: 0.0001 (0.0008) time: 2.6209 data: 0.0053 max mem: 31630 Epoch: [38] [5230/5278] eta: 0:02:13 lr: 1.8221377922306197e-06 loss: 0.0327 (0.0342) loss_seg: 0.0324 (0.0339) loss_lansim: 0.0252 (0.0267) loss_contra: 0.0001 (0.0008) time: 2.6206 data: 0.0053 max mem: 31630 Epoch: [38] [5240/5278] eta: 0:01:45 lr: 1.819057833352464e-06 loss: 0.0326 (0.0342) loss_seg: 0.0323 (0.0339) loss_lansim: 0.0251 (0.0267) loss_contra: 0.0001 (0.0008) time: 2.6221 data: 0.0053 max mem: 31630 Epoch: [38] [5250/5278] eta: 0:01:17 lr: 1.815977294935165e-06 loss: 0.0328 (0.0342) loss_seg: 0.0325 (0.0339) loss_lansim: 0.0254 (0.0267) loss_contra: 0.0001 (0.0008) time: 2.6240 data: 0.0053 max mem: 31630 Epoch: [38] [5260/5278] eta: 0:00:50 lr: 1.8128961757769247e-06 loss: 0.0324 (0.0342) loss_seg: 0.0321 (0.0339) loss_lansim: 0.0254 (0.0267) loss_contra: 0.0001 (0.0008) time: 2.6262 data: 0.0053 max mem: 31630 Epoch: [38] [5270/5278] eta: 0:00:22 lr: 1.8098144746711853e-06 loss: 0.0322 (0.0342) loss_seg: 0.0319 (0.0339) loss_lansim: 0.0257 (0.0267) loss_contra: 0.0001 (0.0008) time: 2.6287 data: 0.0053 max mem: 31630 Epoch: [38] Total time: 4:04:28 Test: [ 0/2573] eta: 0:58:29 time: 1.3639 data: 1.2029 max mem: 31630 Test: [ 100/2573] eta: 0:06:11 time: 0.1380 data: 0.0013 max mem: 31630 Test: [ 200/2573] eta: 0:05:47 time: 0.1429 data: 0.0014 max mem: 31630 Test: [ 300/2573] eta: 0:05:26 time: 0.1380 data: 0.0014 max mem: 31630 Test: [ 400/2573] eta: 0:05:10 time: 0.1408 data: 0.0014 max mem: 31630 Test: [ 500/2573] eta: 0:04:55 time: 0.1420 data: 0.0014 max mem: 31630 Test: [ 600/2573] eta: 0:04:41 time: 0.1433 data: 0.0014 max mem: 31630 Test: [ 700/2573] eta: 0:04:28 time: 0.1470 data: 0.0014 max mem: 31630 Test: [ 800/2573] eta: 0:04:14 time: 0.1441 data: 0.0014 max mem: 31630 Test: [ 900/2573] eta: 0:04:00 time: 0.1442 data: 0.0013 max mem: 31630 Test: [1000/2573] eta: 0:03:45 time: 0.1429 data: 0.0014 max mem: 31630 Test: [1100/2573] eta: 0:03:31 time: 0.1421 data: 0.0013 max mem: 31630 Test: [1200/2573] eta: 0:03:17 time: 0.1444 data: 0.0014 max mem: 31630 Test: [1300/2573] eta: 0:03:02 time: 0.1430 data: 0.0014 max mem: 31630 Test: [1400/2573] eta: 0:02:47 time: 0.1392 data: 0.0013 max mem: 31630 Test: [1500/2573] eta: 0:02:33 time: 0.1436 data: 0.0014 max mem: 31630 Test: [1600/2573] eta: 0:02:19 time: 0.1429 data: 0.0014 max mem: 31630 Test: [1700/2573] eta: 0:02:05 time: 0.1441 data: 0.0014 max mem: 31630 Test: [1800/2573] eta: 0:01:50 time: 0.1411 data: 0.0014 max mem: 31630 Test: [1900/2573] eta: 0:01:36 time: 0.1396 data: 0.0014 max mem: 31630 Test: [2000/2573] eta: 0:01:21 time: 0.1393 data: 0.0014 max mem: 31630 Test: [2100/2573] eta: 0:01:07 time: 0.1436 data: 0.0013 max mem: 31630 Test: [2200/2573] eta: 0:00:53 time: 0.1385 data: 0.0013 max mem: 31630 Test: [2300/2573] eta: 0:00:38 time: 0.1440 data: 0.0013 max mem: 31630 Test: [2400/2573] eta: 0:00:24 time: 0.1417 data: 0.0014 max mem: 31630 Test: [2500/2573] eta: 0:00:10 time: 0.1440 data: 0.0014 max mem: 31630 Test: Total time: 0:06:07 Final results: precision@0.5 = 71.12 precision@0.6 = 66.38 precision@0.7 = 60.17 precision@0.8 = 49.45 precision@0.9 = 25.04 overall IoU = 59.54 mean IoU = 62.75 Epoch: [39] [ 0/5278] eta: 6:06:43 lr: 1.8073486939705144e-06 loss: 0.0502 (0.0502) loss_seg: 0.0499 (0.0499) loss_lansim: 0.0250 (0.0250) loss_contra: 0.0000 (0.0000) time: 4.1690 data: 1.3219 max mem: 31630 Epoch: [39] [ 10/5278] eta: 4:04:34 lr: 1.8042659423033896e-06 loss: 0.0346 (0.0360) loss_seg: 0.0343 (0.0357) loss_lansim: 0.0254 (0.0255) loss_contra: 0.0000 (0.0007) time: 2.7855 data: 0.1253 max mem: 31630 Epoch: [39] [ 20/5278] eta: 3:57:49 lr: 1.8011826052847787e-06 loss: 0.0318 (0.0331) loss_seg: 0.0315 (0.0329) loss_lansim: 0.0250 (0.0249) loss_contra: 0.0000 (0.0009) time: 2.7139 data: 0.0682 max mem: 31630 Epoch: [39] [ 30/5278] eta: 3:55:18 lr: 1.798098681689746e-06 loss: 0.0325 (0.0337) loss_seg: 0.0322 (0.0334) loss_lansim: 0.0254 (0.0252) loss_contra: 0.0000 (0.0006) time: 2.6903 data: 0.0480 max mem: 31630 Epoch: [39] [ 40/5278] eta: 3:53:55 lr: 1.7950141702884525e-06 loss: 0.0317 (0.0327) loss_seg: 0.0315 (0.0325) loss_lansim: 0.0254 (0.0256) loss_contra: 0.0001 (0.0009) time: 2.6795 data: 0.0376 max mem: 31630 Epoch: [39] [ 50/5278] eta: 3:52:52 lr: 1.791929069846135e-06 loss: 0.0317 (0.0327) loss_seg: 0.0315 (0.0324) loss_lansim: 0.0254 (0.0258) loss_contra: 0.0001 (0.0008) time: 2.6726 data: 0.0314 max mem: 31630 Epoch: [39] [ 60/5278] eta: 3:51:52 lr: 1.788843379123047e-06 loss: 0.0325 (0.0334) loss_seg: 0.0322 (0.0331) loss_lansim: 0.0254 (0.0260) loss_contra: 0.0000 (0.0008) time: 2.6662 data: 0.0272 max mem: 31630 Epoch: [39] [ 70/5278] eta: 3:51:05 lr: 1.7857570968744731e-06 loss: 0.0325 (0.0333) loss_seg: 0.0322 (0.0331) loss_lansim: 0.0256 (0.0263) loss_contra: 0.0001 (0.0008) time: 2.6623 data: 0.0241 max mem: 31630 Epoch: [39] [ 80/5278] eta: 3:50:21 lr: 1.7826702218506697e-06 loss: 0.0320 (0.0332) loss_seg: 0.0318 (0.0330) loss_lansim: 0.0255 (0.0261) loss_contra: 0.0001 (0.0007) time: 2.6591 data: 0.0218 max mem: 31630 Epoch: [39] [ 90/5278] eta: 3:49:39 lr: 1.7795827527968507e-06 loss: 0.0318 (0.0327) loss_seg: 0.0315 (0.0325) loss_lansim: 0.0255 (0.0261) loss_contra: 0.0001 (0.0007) time: 2.6561 data: 0.0199 max mem: 31630 Epoch: [39] [ 100/5278] eta: 3:49:00 lr: 1.776494688453127e-06 loss: 0.0317 (0.0327) loss_seg: 0.0315 (0.0324) loss_lansim: 0.0255 (0.0260) loss_contra: 0.0001 (0.0006) time: 2.6384 data: 0.0054 max mem: 31630 Epoch: [39] [ 110/5278] eta: 3:48:25 lr: 1.7734060275545205e-06 loss: 0.0316 (0.0326) loss_seg: 0.0313 (0.0323) loss_lansim: 0.0258 (0.0260) loss_contra: 0.0001 (0.0006) time: 2.6372 data: 0.0054 max mem: 31630 Epoch: [39] [ 120/5278] eta: 3:47:49 lr: 1.7703167688309042e-06 loss: 0.0309 (0.0323) loss_seg: 0.0306 (0.0320) loss_lansim: 0.0259 (0.0262) loss_contra: 0.0001 (0.0006) time: 2.6367 data: 0.0054 max mem: 31630 Epoch: [39] [ 130/5278] eta: 3:47:15 lr: 1.7672269110069852e-06 loss: 0.0309 (0.0326) loss_seg: 0.0306 (0.0323) loss_lansim: 0.0259 (0.0263) loss_contra: 0.0001 (0.0006) time: 2.6358 data: 0.0053 max mem: 31630 Epoch: [39] [ 140/5278] eta: 3:46:44 lr: 1.764136452802246e-06 loss: 0.0320 (0.0326) loss_seg: 0.0318 (0.0323) loss_lansim: 0.0259 (0.0262) loss_contra: 0.0001 (0.0006) time: 2.6348 data: 0.0052 max mem: 31630 Epoch: [39] [ 150/5278] eta: 3:46:13 lr: 1.7610453929309545e-06 loss: 0.0320 (0.0325) loss_seg: 0.0318 (0.0322) loss_lansim: 0.0259 (0.0262) loss_contra: 0.0001 (0.0006) time: 2.6338 data: 0.0052 max mem: 31630 Epoch: [39] [ 160/5278] eta: 3:45:43 lr: 1.7579537301021052e-06 loss: 0.0305 (0.0324) loss_seg: 0.0302 (0.0321) loss_lansim: 0.0258 (0.0263) loss_contra: 0.0001 (0.0007) time: 2.6340 data: 0.0051 max mem: 31630 Epoch: [39] [ 170/5278] eta: 3:45:12 lr: 1.7548614630194013e-06 loss: 0.0301 (0.0324) loss_seg: 0.0298 (0.0321) loss_lansim: 0.0258 (0.0263) loss_contra: 0.0001 (0.0009) time: 2.6332 data: 0.0050 max mem: 31630 Epoch: [39] [ 180/5278] eta: 3:44:41 lr: 1.7517685903811927e-06 loss: 0.0300 (0.0321) loss_seg: 0.0297 (0.0318) loss_lansim: 0.0258 (0.0263) loss_contra: 0.0001 (0.0008) time: 2.6326 data: 0.0051 max mem: 31630 Epoch: [39] [ 190/5278] eta: 3:44:12 lr: 1.7486751108804878e-06 loss: 0.0300 (0.0320) loss_seg: 0.0297 (0.0317) loss_lansim: 0.0257 (0.0262) loss_contra: 0.0001 (0.0009) time: 2.6329 data: 0.0051 max mem: 31630 Epoch: [39] [ 200/5278] eta: 3:43:42 lr: 1.7455810232048917e-06 loss: 0.0299 (0.0320) loss_seg: 0.0296 (0.0318) loss_lansim: 0.0257 (0.0262) loss_contra: 0.0001 (0.0008) time: 2.6329 data: 0.0051 max mem: 31630 Epoch: [39] [ 210/5278] eta: 3:43:14 lr: 1.7424863260365884e-06 loss: 0.0300 (0.0320) loss_seg: 0.0297 (0.0317) loss_lansim: 0.0258 (0.0262) loss_contra: 0.0001 (0.0015) time: 2.6331 data: 0.0051 max mem: 31630 Epoch: [39] [ 220/5278] eta: 3:42:53 lr: 1.739391018052277e-06 loss: 0.0301 (0.0320) loss_seg: 0.0298 (0.0318) loss_lansim: 0.0257 (0.0262) loss_contra: 0.0001 (0.0014) time: 2.6367 data: 0.0051 max mem: 31630 Epoch: [39] [ 230/5278] eta: 3:42:30 lr: 1.736295097923183e-06 loss: 0.0305 (0.0322) loss_seg: 0.0302 (0.0319) loss_lansim: 0.0259 (0.0263) loss_contra: 0.0001 (0.0014) time: 2.6397 data: 0.0051 max mem: 31630 Epoch: [39] [ 240/5278] eta: 3:42:08 lr: 1.7331985643149955e-06 loss: 0.0305 (0.0324) loss_seg: 0.0302 (0.0321) loss_lansim: 0.0265 (0.0263) loss_contra: 0.0001 (0.0014) time: 2.6426 data: 0.0051 max mem: 31630 Epoch: [39] [ 250/5278] eta: 3:41:42 lr: 1.730101415887847e-06 loss: 0.0309 (0.0325) loss_seg: 0.0307 (0.0322) loss_lansim: 0.0260 (0.0263) loss_contra: 0.0001 (0.0014) time: 2.6439 data: 0.0051 max mem: 31630 Epoch: [39] [ 260/5278] eta: 3:41:14 lr: 1.7270036512962501e-06 loss: 0.0313 (0.0326) loss_seg: 0.0311 (0.0324) loss_lansim: 0.0260 (0.0262) loss_contra: 0.0001 (0.0013) time: 2.6442 data: 0.0051 max mem: 31630 Epoch: [39] [ 270/5278] eta: 3:40:46 lr: 1.7239052691891078e-06 loss: 0.0309 (0.0326) loss_seg: 0.0307 (0.0323) loss_lansim: 0.0258 (0.0262) loss_contra: 0.0001 (0.0013) time: 2.6446 data: 0.0051 max mem: 31630 Epoch: [39] [ 280/5278] eta: 3:40:18 lr: 1.720806268209647e-06 loss: 0.0316 (0.0326) loss_seg: 0.0314 (0.0323) loss_lansim: 0.0258 (0.0262) loss_contra: 0.0001 (0.0012) time: 2.6453 data: 0.0051 max mem: 31630 Epoch: [39] [ 290/5278] eta: 3:39:51 lr: 1.7177066469953942e-06 loss: 0.0315 (0.0325) loss_seg: 0.0312 (0.0322) loss_lansim: 0.0259 (0.0262) loss_contra: 0.0001 (0.0012) time: 2.6458 data: 0.0051 max mem: 31630 Epoch: [39] [ 300/5278] eta: 3:39:23 lr: 1.7146064041781433e-06 loss: 0.0309 (0.0324) loss_seg: 0.0307 (0.0321) loss_lansim: 0.0258 (0.0261) loss_contra: 0.0001 (0.0012) time: 2.6463 data: 0.0051 max mem: 31630 Epoch: [39] [ 310/5278] eta: 3:38:55 lr: 1.7115055383838938e-06 loss: 0.0309 (0.0323) loss_seg: 0.0307 (0.0321) loss_lansim: 0.0257 (0.0261) loss_contra: 0.0001 (0.0012) time: 2.6460 data: 0.0052 max mem: 31630 Epoch: [39] [ 320/5278] eta: 3:38:27 lr: 1.7084040482328569e-06 loss: 0.0315 (0.0323) loss_seg: 0.0312 (0.0320) loss_lansim: 0.0254 (0.0261) loss_contra: 0.0001 (0.0011) time: 2.6428 data: 0.0052 max mem: 31630 Epoch: [39] [ 330/5278] eta: 3:37:59 lr: 1.7053019323393913e-06 loss: 0.0316 (0.0325) loss_seg: 0.0314 (0.0323) loss_lansim: 0.0252 (0.0260) loss_contra: 0.0001 (0.0011) time: 2.6403 data: 0.0052 max mem: 31630 Epoch: [39] [ 340/5278] eta: 3:37:32 lr: 1.702199189311979e-06 loss: 0.0316 (0.0326) loss_seg: 0.0314 (0.0323) loss_lansim: 0.0247 (0.0260) loss_contra: 0.0001 (0.0011) time: 2.6374 data: 0.0052 max mem: 31630 Epoch: [39] [ 350/5278] eta: 3:37:04 lr: 1.699095817753162e-06 loss: 0.0316 (0.0327) loss_seg: 0.0314 (0.0324) loss_lansim: 0.0251 (0.0259) loss_contra: 0.0001 (0.0011) time: 2.6360 data: 0.0053 max mem: 31630 Epoch: [39] [ 360/5278] eta: 3:36:37 lr: 1.6959918162595463e-06 loss: 0.0311 (0.0326) loss_seg: 0.0309 (0.0323) loss_lansim: 0.0251 (0.0259) loss_contra: 0.0001 (0.0010) time: 2.6360 data: 0.0053 max mem: 31630 Epoch: [39] [ 370/5278] eta: 3:36:09 lr: 1.6928871834217363e-06 loss: 0.0315 (0.0327) loss_seg: 0.0313 (0.0324) loss_lansim: 0.0251 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6359 data: 0.0053 max mem: 31630 Epoch: [39] [ 380/5278] eta: 3:35:42 lr: 1.6897819178243124e-06 loss: 0.0316 (0.0327) loss_seg: 0.0314 (0.0325) loss_lansim: 0.0251 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6360 data: 0.0053 max mem: 31630 Epoch: [39] [ 390/5278] eta: 3:35:15 lr: 1.6866760180457613e-06 loss: 0.0318 (0.0327) loss_seg: 0.0316 (0.0324) loss_lansim: 0.0252 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6358 data: 0.0053 max mem: 31630 Epoch: [39] [ 400/5278] eta: 3:34:47 lr: 1.683569482658483e-06 loss: 0.0324 (0.0327) loss_seg: 0.0322 (0.0324) loss_lansim: 0.0256 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6352 data: 0.0053 max mem: 31630 Epoch: [39] [ 410/5278] eta: 3:34:19 lr: 1.6804623102287234e-06 loss: 0.0327 (0.0328) loss_seg: 0.0323 (0.0325) loss_lansim: 0.0256 (0.0260) loss_contra: 0.0001 (0.0009) time: 2.6348 data: 0.0052 max mem: 31630 Epoch: [39] [ 420/5278] eta: 3:33:52 lr: 1.6773544993165473e-06 loss: 0.0329 (0.0328) loss_seg: 0.0327 (0.0326) loss_lansim: 0.0256 (0.0260) loss_contra: 0.0001 (0.0009) time: 2.6346 data: 0.0052 max mem: 31630 Epoch: [39] [ 430/5278] eta: 3:33:25 lr: 1.6742460484757718e-06 loss: 0.0323 (0.0329) loss_seg: 0.0320 (0.0326) loss_lansim: 0.0256 (0.0260) loss_contra: 0.0001 (0.0009) time: 2.6343 data: 0.0051 max mem: 31630 Epoch: [39] [ 440/5278] eta: 3:32:58 lr: 1.67113695625397e-06 loss: 0.0326 (0.0329) loss_seg: 0.0323 (0.0326) loss_lansim: 0.0256 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6343 data: 0.0051 max mem: 31630 Epoch: [39] [ 450/5278] eta: 3:32:31 lr: 1.6680272211924003e-06 loss: 0.0323 (0.0329) loss_seg: 0.0320 (0.0326) loss_lansim: 0.0252 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6344 data: 0.0051 max mem: 31630 Epoch: [39] [ 460/5278] eta: 3:32:03 lr: 1.6649168418259818e-06 loss: 0.0327 (0.0328) loss_seg: 0.0323 (0.0325) loss_lansim: 0.0250 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6340 data: 0.0050 max mem: 31630 Epoch: [39] [ 470/5278] eta: 3:31:36 lr: 1.6618058166832249e-06 loss: 0.0327 (0.0329) loss_seg: 0.0325 (0.0327) loss_lansim: 0.0250 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6340 data: 0.0050 max mem: 31630 Epoch: [39] [ 480/5278] eta: 3:31:09 lr: 1.658694144286231e-06 loss: 0.0326 (0.0329) loss_seg: 0.0323 (0.0326) loss_lansim: 0.0249 (0.0260) loss_contra: 0.0001 (0.0009) time: 2.6337 data: 0.0050 max mem: 31630 Epoch: [39] [ 490/5278] eta: 3:30:42 lr: 1.6555818231506256e-06 loss: 0.0330 (0.0329) loss_seg: 0.0327 (0.0327) loss_lansim: 0.0248 (0.0259) loss_contra: 0.0001 (0.0009) time: 2.6334 data: 0.0049 max mem: 31630 Epoch: [39] [ 500/5278] eta: 3:30:15 lr: 1.6524688517855272e-06 loss: 0.0327 (0.0329) loss_seg: 0.0325 (0.0327) loss_lansim: 0.0245 (0.0259) loss_contra: 0.0001 (0.0009) time: 2.6340 data: 0.0050 max mem: 31630 Epoch: [39] [ 510/5278] eta: 3:29:49 lr: 1.6493552286934795e-06 loss: 0.0330 (0.0330) loss_seg: 0.0327 (0.0327) loss_lansim: 0.0245 (0.0259) loss_contra: 0.0001 (0.0010) time: 2.6347 data: 0.0050 max mem: 31630 Epoch: [39] [ 520/5278] eta: 3:29:22 lr: 1.6462409523704485e-06 loss: 0.0327 (0.0330) loss_seg: 0.0324 (0.0327) loss_lansim: 0.0244 (0.0259) loss_contra: 0.0001 (0.0010) time: 2.6347 data: 0.0050 max mem: 31630 Epoch: [39] [ 530/5278] eta: 3:28:55 lr: 1.6431260213057548e-06 loss: 0.0327 (0.0330) loss_seg: 0.0324 (0.0327) loss_lansim: 0.0244 (0.0259) loss_contra: 0.0001 (0.0010) time: 2.6350 data: 0.0050 max mem: 31630 Epoch: [39] [ 540/5278] eta: 3:28:28 lr: 1.6400104339820337e-06 loss: 0.0327 (0.0330) loss_seg: 0.0324 (0.0328) loss_lansim: 0.0245 (0.0259) loss_contra: 0.0001 (0.0009) time: 2.6355 data: 0.0050 max mem: 31630 Epoch: [39] [ 550/5278] eta: 3:28:02 lr: 1.636894188875201e-06 loss: 0.0328 (0.0331) loss_seg: 0.0326 (0.0328) loss_lansim: 0.0245 (0.0259) loss_contra: 0.0001 (0.0009) time: 2.6355 data: 0.0050 max mem: 31630 Epoch: [39] [ 560/5278] eta: 3:27:35 lr: 1.6337772844543793e-06 loss: 0.0336 (0.0331) loss_seg: 0.0334 (0.0328) loss_lansim: 0.0245 (0.0259) loss_contra: 0.0001 (0.0009) time: 2.6357 data: 0.0050 max mem: 31630 Epoch: [39] [ 570/5278] eta: 3:27:08 lr: 1.6306597191818963e-06 loss: 0.0336 (0.0331) loss_seg: 0.0334 (0.0328) loss_lansim: 0.0246 (0.0259) loss_contra: 0.0001 (0.0009) time: 2.6361 data: 0.0050 max mem: 31630 Epoch: [39] [ 580/5278] eta: 3:26:42 lr: 1.6275414915132115e-06 loss: 0.0328 (0.0330) loss_seg: 0.0326 (0.0328) loss_lansim: 0.0248 (0.0259) loss_contra: 0.0001 (0.0009) time: 2.6362 data: 0.0050 max mem: 31630 Epoch: [39] [ 590/5278] eta: 3:26:15 lr: 1.6244225998968855e-06 loss: 0.0327 (0.0330) loss_seg: 0.0324 (0.0328) loss_lansim: 0.0252 (0.0259) loss_contra: 0.0001 (0.0009) time: 2.6361 data: 0.0050 max mem: 31630 Epoch: [39] [ 600/5278] eta: 3:25:48 lr: 1.6213030427745052e-06 loss: 0.0328 (0.0331) loss_seg: 0.0326 (0.0328) loss_lansim: 0.0257 (0.0259) loss_contra: 0.0001 (0.0009) time: 2.6360 data: 0.0050 max mem: 31630 Epoch: [39] [ 610/5278] eta: 3:25:21 lr: 1.618182818580681e-06 loss: 0.0328 (0.0331) loss_seg: 0.0326 (0.0328) loss_lansim: 0.0259 (0.0259) loss_contra: 0.0001 (0.0009) time: 2.6358 data: 0.0050 max mem: 31630 Epoch: [39] [ 620/5278] eta: 3:24:55 lr: 1.6150619257429723e-06 loss: 0.0337 (0.0331) loss_seg: 0.0335 (0.0329) loss_lansim: 0.0259 (0.0259) loss_contra: 0.0001 (0.0009) time: 2.6364 data: 0.0050 max mem: 31630 Epoch: [39] [ 630/5278] eta: 3:24:28 lr: 1.611940362681853e-06 loss: 0.0323 (0.0331) loss_seg: 0.0320 (0.0328) loss_lansim: 0.0259 (0.0259) loss_contra: 0.0001 (0.0009) time: 2.6368 data: 0.0050 max mem: 31630 Epoch: [39] [ 640/5278] eta: 3:24:02 lr: 1.6088181278106372e-06 loss: 0.0323 (0.0331) loss_seg: 0.0320 (0.0328) loss_lansim: 0.0259 (0.0259) loss_contra: 0.0001 (0.0009) time: 2.6363 data: 0.0050 max mem: 31630 Epoch: [39] [ 650/5278] eta: 3:23:35 lr: 1.6056952195354744e-06 loss: 0.0323 (0.0332) loss_seg: 0.0320 (0.0329) loss_lansim: 0.0259 (0.0259) loss_contra: 0.0001 (0.0009) time: 2.6364 data: 0.0050 max mem: 31630 Epoch: [39] [ 660/5278] eta: 3:23:08 lr: 1.602571636255272e-06 loss: 0.0316 (0.0331) loss_seg: 0.0314 (0.0329) loss_lansim: 0.0259 (0.0259) loss_contra: 0.0001 (0.0009) time: 2.6363 data: 0.0050 max mem: 31630 Epoch: [39] [ 670/5278] eta: 3:22:42 lr: 1.5994473763616615e-06 loss: 0.0323 (0.0332) loss_seg: 0.0320 (0.0329) loss_lansim: 0.0259 (0.0260) loss_contra: 0.0001 (0.0009) time: 2.6360 data: 0.0050 max mem: 31630 Epoch: [39] [ 680/5278] eta: 3:22:15 lr: 1.59632243823892e-06 loss: 0.0338 (0.0333) loss_seg: 0.0335 (0.0330) loss_lansim: 0.0260 (0.0260) loss_contra: 0.0001 (0.0009) time: 2.6362 data: 0.0051 max mem: 31630 Epoch: [39] [ 690/5278] eta: 3:21:49 lr: 1.593196820263965e-06 loss: 0.0340 (0.0333) loss_seg: 0.0338 (0.0330) loss_lansim: 0.0258 (0.0259) loss_contra: 0.0001 (0.0009) time: 2.6364 data: 0.0051 max mem: 31630 Epoch: [39] [ 700/5278] eta: 3:21:22 lr: 1.5900705208062757e-06 loss: 0.0340 (0.0334) loss_seg: 0.0338 (0.0331) loss_lansim: 0.0258 (0.0259) loss_contra: 0.0001 (0.0009) time: 2.6365 data: 0.0051 max mem: 31630 Epoch: [39] [ 710/5278] eta: 3:20:55 lr: 1.5869435382278554e-06 loss: 0.0338 (0.0334) loss_seg: 0.0335 (0.0331) loss_lansim: 0.0258 (0.0260) loss_contra: 0.0001 (0.0009) time: 2.6366 data: 0.0051 max mem: 31630 Epoch: [39] [ 720/5278] eta: 3:20:29 lr: 1.5838158708831544e-06 loss: 0.0331 (0.0334) loss_seg: 0.0328 (0.0331) loss_lansim: 0.0258 (0.0260) loss_contra: 0.0001 (0.0009) time: 2.6363 data: 0.0052 max mem: 31630 Epoch: [39] [ 730/5278] eta: 3:20:02 lr: 1.5806875171190593e-06 loss: 0.0338 (0.0334) loss_seg: 0.0335 (0.0332) loss_lansim: 0.0254 (0.0259) loss_contra: 0.0001 (0.0009) time: 2.6364 data: 0.0052 max mem: 31630 Epoch: [39] [ 740/5278] eta: 3:19:37 lr: 1.5775584752748145e-06 loss: 0.0332 (0.0334) loss_seg: 0.0330 (0.0331) loss_lansim: 0.0255 (0.0260) loss_contra: 0.0001 (0.0009) time: 2.6376 data: 0.0052 max mem: 31630 Epoch: [39] [ 750/5278] eta: 3:19:11 lr: 1.574428743681984e-06 loss: 0.0327 (0.0333) loss_seg: 0.0325 (0.0331) loss_lansim: 0.0255 (0.0260) loss_contra: 0.0001 (0.0009) time: 2.6385 data: 0.0053 max mem: 31630 Epoch: [39] [ 760/5278] eta: 3:18:44 lr: 1.5712983206643696e-06 loss: 0.0341 (0.0334) loss_seg: 0.0339 (0.0331) loss_lansim: 0.0255 (0.0260) loss_contra: 0.0001 (0.0009) time: 2.6393 data: 0.0053 max mem: 31630 Epoch: [39] [ 770/5278] eta: 3:18:18 lr: 1.5681672045380003e-06 loss: 0.0332 (0.0333) loss_seg: 0.0330 (0.0331) loss_lansim: 0.0253 (0.0260) loss_contra: 0.0001 (0.0009) time: 2.6405 data: 0.0053 max mem: 31630 Epoch: [39] [ 780/5278] eta: 3:17:52 lr: 1.5650353936110515e-06 loss: 0.0325 (0.0334) loss_seg: 0.0322 (0.0331) loss_lansim: 0.0254 (0.0260) loss_contra: 0.0001 (0.0009) time: 2.6410 data: 0.0053 max mem: 31630 Epoch: [39] [ 790/5278] eta: 3:17:26 lr: 1.5619028861837974e-06 loss: 0.0325 (0.0334) loss_seg: 0.0322 (0.0331) loss_lansim: 0.0255 (0.0259) loss_contra: 0.0001 (0.0009) time: 2.6421 data: 0.0053 max mem: 31630 Epoch: [39] [ 800/5278] eta: 3:17:00 lr: 1.5587696805485626e-06 loss: 0.0325 (0.0334) loss_seg: 0.0322 (0.0332) loss_lansim: 0.0256 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6433 data: 0.0053 max mem: 31630 Epoch: [39] [ 810/5278] eta: 3:16:34 lr: 1.5556357749896391e-06 loss: 0.0325 (0.0335) loss_seg: 0.0322 (0.0332) loss_lansim: 0.0255 (0.0259) loss_contra: 0.0001 (0.0011) time: 2.6446 data: 0.0053 max mem: 31630 Epoch: [39] [ 820/5278] eta: 3:16:09 lr: 1.5525011677832751e-06 loss: 0.0317 (0.0334) loss_seg: 0.0315 (0.0332) loss_lansim: 0.0256 (0.0260) loss_contra: 0.0001 (0.0011) time: 2.6462 data: 0.0053 max mem: 31630 Epoch: [39] [ 830/5278] eta: 3:15:43 lr: 1.5493658571975877e-06 loss: 0.0315 (0.0334) loss_seg: 0.0312 (0.0332) loss_lansim: 0.0257 (0.0260) loss_contra: 0.0001 (0.0011) time: 2.6469 data: 0.0053 max mem: 31630 Epoch: [39] [ 840/5278] eta: 3:15:17 lr: 1.5462298414925222e-06 loss: 0.0322 (0.0335) loss_seg: 0.0319 (0.0332) loss_lansim: 0.0257 (0.0260) loss_contra: 0.0001 (0.0011) time: 2.6474 data: 0.0053 max mem: 31630 Epoch: [39] [ 850/5278] eta: 3:14:51 lr: 1.5430931189197652e-06 loss: 0.0325 (0.0335) loss_seg: 0.0322 (0.0333) loss_lansim: 0.0261 (0.0260) loss_contra: 0.0001 (0.0011) time: 2.6483 data: 0.0053 max mem: 31630 Epoch: [39] [ 860/5278] eta: 3:14:25 lr: 1.5399556877227317e-06 loss: 0.0314 (0.0335) loss_seg: 0.0311 (0.0332) loss_lansim: 0.0258 (0.0260) loss_contra: 0.0001 (0.0011) time: 2.6491 data: 0.0053 max mem: 31630 Epoch: [39] [ 870/5278] eta: 3:13:59 lr: 1.5368175461364762e-06 loss: 0.0314 (0.0335) loss_seg: 0.0311 (0.0332) loss_lansim: 0.0259 (0.0260) loss_contra: 0.0001 (0.0011) time: 2.6496 data: 0.0053 max mem: 31630 Epoch: [39] [ 880/5278] eta: 3:13:34 lr: 1.5336786923876502e-06 loss: 0.0313 (0.0334) loss_seg: 0.0311 (0.0331) loss_lansim: 0.0258 (0.0260) loss_contra: 0.0001 (0.0011) time: 2.6501 data: 0.0052 max mem: 31630 Epoch: [39] [ 890/5278] eta: 3:13:07 lr: 1.5305391246944114e-06 loss: 0.0308 (0.0334) loss_seg: 0.0306 (0.0331) loss_lansim: 0.0259 (0.0260) loss_contra: 0.0001 (0.0011) time: 2.6502 data: 0.0052 max mem: 31630 Epoch: [39] [ 900/5278] eta: 3:12:41 lr: 1.5273988412664108e-06 loss: 0.0308 (0.0334) loss_seg: 0.0306 (0.0331) loss_lansim: 0.0258 (0.0260) loss_contra: 0.0001 (0.0011) time: 2.6495 data: 0.0051 max mem: 31630 Epoch: [39] [ 910/5278] eta: 3:12:15 lr: 1.5242578403046995e-06 loss: 0.0303 (0.0334) loss_seg: 0.0300 (0.0332) loss_lansim: 0.0258 (0.0260) loss_contra: 0.0001 (0.0011) time: 2.6492 data: 0.0051 max mem: 31630 Epoch: [39] [ 920/5278] eta: 3:11:49 lr: 1.5211161200016856e-06 loss: 0.0311 (0.0334) loss_seg: 0.0307 (0.0332) loss_lansim: 0.0258 (0.0260) loss_contra: 0.0001 (0.0011) time: 2.6487 data: 0.0051 max mem: 31630 Epoch: [39] [ 930/5278] eta: 3:11:23 lr: 1.517973678541041e-06 loss: 0.0308 (0.0334) loss_seg: 0.0305 (0.0331) loss_lansim: 0.0259 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6486 data: 0.0052 max mem: 31630 Epoch: [39] [ 940/5278] eta: 3:10:57 lr: 1.5148305140976845e-06 loss: 0.0303 (0.0334) loss_seg: 0.0300 (0.0331) loss_lansim: 0.0258 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6481 data: 0.0052 max mem: 31630 Epoch: [39] [ 950/5278] eta: 3:10:30 lr: 1.5116866248376892e-06 loss: 0.0300 (0.0334) loss_seg: 0.0297 (0.0331) loss_lansim: 0.0257 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6473 data: 0.0052 max mem: 31630 Epoch: [39] [ 960/5278] eta: 3:10:04 lr: 1.508542008918234e-06 loss: 0.0302 (0.0334) loss_seg: 0.0299 (0.0331) loss_lansim: 0.0258 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6464 data: 0.0052 max mem: 31630 Epoch: [39] [ 970/5278] eta: 3:09:38 lr: 1.5053966644875106e-06 loss: 0.0311 (0.0334) loss_seg: 0.0307 (0.0332) loss_lansim: 0.0255 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6458 data: 0.0052 max mem: 31630 Epoch: [39] [ 980/5278] eta: 3:09:11 lr: 1.5022505896847019e-06 loss: 0.0317 (0.0334) loss_seg: 0.0314 (0.0331) loss_lansim: 0.0256 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6448 data: 0.0052 max mem: 31630 Epoch: [39] [ 990/5278] eta: 3:08:45 lr: 1.499103782639889e-06 loss: 0.0328 (0.0334) loss_seg: 0.0325 (0.0332) loss_lansim: 0.0255 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6449 data: 0.0052 max mem: 31630 Epoch: [39] [1000/5278] eta: 3:08:19 lr: 1.4959562414739996e-06 loss: 0.0329 (0.0335) loss_seg: 0.0326 (0.0332) loss_lansim: 0.0255 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6451 data: 0.0052 max mem: 31630 Epoch: [39] [1010/5278] eta: 3:07:53 lr: 1.492807964298711e-06 loss: 0.0329 (0.0335) loss_seg: 0.0327 (0.0332) loss_lansim: 0.0255 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6450 data: 0.0052 max mem: 31630 Epoch: [39] [1020/5278] eta: 3:07:26 lr: 1.4896589492164294e-06 loss: 0.0328 (0.0335) loss_seg: 0.0325 (0.0332) loss_lansim: 0.0255 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6448 data: 0.0052 max mem: 31630 Epoch: [39] [1030/5278] eta: 3:07:00 lr: 1.48650919432019e-06 loss: 0.0328 (0.0334) loss_seg: 0.0325 (0.0332) loss_lansim: 0.0254 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6446 data: 0.0051 max mem: 31630 Epoch: [39] [1040/5278] eta: 3:06:34 lr: 1.4833586976935993e-06 loss: 0.0326 (0.0334) loss_seg: 0.0322 (0.0332) loss_lansim: 0.0255 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6442 data: 0.0050 max mem: 31630 Epoch: [39] [1050/5278] eta: 3:06:07 lr: 1.4802074574107706e-06 loss: 0.0327 (0.0335) loss_seg: 0.0324 (0.0332) loss_lansim: 0.0254 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6441 data: 0.0050 max mem: 31630 Epoch: [39] [1060/5278] eta: 3:05:41 lr: 1.4770554715362262e-06 loss: 0.0329 (0.0335) loss_seg: 0.0326 (0.0332) loss_lansim: 0.0255 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6444 data: 0.0051 max mem: 31630 Epoch: [39] [1070/5278] eta: 3:05:15 lr: 1.4739027381248715e-06 loss: 0.0327 (0.0335) loss_seg: 0.0324 (0.0333) loss_lansim: 0.0255 (0.0260) loss_contra: 0.0001 (0.0011) time: 2.6442 data: 0.0051 max mem: 31630 Epoch: [39] [1080/5278] eta: 3:04:49 lr: 1.4707492552218928e-06 loss: 0.0326 (0.0335) loss_seg: 0.0324 (0.0332) loss_lansim: 0.0254 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6449 data: 0.0051 max mem: 31630 Epoch: [39] [1090/5278] eta: 3:04:22 lr: 1.4675950208627033e-06 loss: 0.0321 (0.0335) loss_seg: 0.0317 (0.0332) loss_lansim: 0.0256 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6450 data: 0.0051 max mem: 31630 Epoch: [39] [1100/5278] eta: 3:03:55 lr: 1.4644400330728378e-06 loss: 0.0313 (0.0335) loss_seg: 0.0311 (0.0332) loss_lansim: 0.0256 (0.0260) loss_contra: 0.0000 (0.0010) time: 2.6429 data: 0.0051 max mem: 31630 Epoch: [39] [1110/5278] eta: 3:03:28 lr: 1.4612842898679262e-06 loss: 0.0313 (0.0335) loss_seg: 0.0311 (0.0332) loss_lansim: 0.0256 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6400 data: 0.0051 max mem: 31630 Epoch: [39] [1120/5278] eta: 3:03:01 lr: 1.4581277892535896e-06 loss: 0.0311 (0.0335) loss_seg: 0.0308 (0.0332) loss_lansim: 0.0256 (0.0259) loss_contra: 0.0001 (0.0010) time: 2.6379 data: 0.0053 max mem: 31630 Epoch: [39] [1130/5278] eta: 3:02:34 lr: 1.4549705292253793e-06 loss: 0.0317 (0.0335) loss_seg: 0.0314 (0.0332) loss_lansim: 0.0256 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6354 data: 0.0055 max mem: 31630 Epoch: [39] [1140/5278] eta: 3:02:06 lr: 1.4518125077686735e-06 loss: 0.0321 (0.0335) loss_seg: 0.0318 (0.0333) loss_lansim: 0.0256 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6321 data: 0.0055 max mem: 31630 Epoch: [39] [1150/5278] eta: 3:01:39 lr: 1.4486537228586445e-06 loss: 0.0321 (0.0335) loss_seg: 0.0318 (0.0333) loss_lansim: 0.0255 (0.0259) loss_contra: 0.0001 (0.0010) time: 2.6286 data: 0.0055 max mem: 31630 Epoch: [39] [1160/5278] eta: 3:01:11 lr: 1.445494172460153e-06 loss: 0.0320 (0.0336) loss_seg: 0.0317 (0.0333) loss_lansim: 0.0256 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6252 data: 0.0055 max mem: 31630 Epoch: [39] [1170/5278] eta: 3:00:44 lr: 1.442333854527685e-06 loss: 0.0323 (0.0336) loss_seg: 0.0320 (0.0334) loss_lansim: 0.0258 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6221 data: 0.0055 max mem: 31630 Epoch: [39] [1180/5278] eta: 3:00:17 lr: 1.4391727670052433e-06 loss: 0.0340 (0.0337) loss_seg: 0.0337 (0.0334) loss_lansim: 0.0258 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6193 data: 0.0055 max mem: 31630 Epoch: [39] [1190/5278] eta: 2:59:50 lr: 1.4360109078263136e-06 loss: 0.0341 (0.0337) loss_seg: 0.0338 (0.0334) loss_lansim: 0.0258 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6185 data: 0.0056 max mem: 31630 Epoch: [39] [1200/5278] eta: 2:59:24 lr: 1.4328482749137546e-06 loss: 0.0341 (0.0337) loss_seg: 0.0338 (0.0334) loss_lansim: 0.0254 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6199 data: 0.0056 max mem: 31630 Epoch: [39] [1210/5278] eta: 2:58:57 lr: 1.429684866179732e-06 loss: 0.0341 (0.0337) loss_seg: 0.0338 (0.0334) loss_lansim: 0.0254 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6218 data: 0.0056 max mem: 31630 Epoch: [39] [1220/5278] eta: 2:58:31 lr: 1.4265206795256072e-06 loss: 0.0341 (0.0337) loss_seg: 0.0338 (0.0334) loss_lansim: 0.0255 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6234 data: 0.0055 max mem: 31630 Epoch: [39] [1230/5278] eta: 2:58:04 lr: 1.4233557128418996e-06 loss: 0.0341 (0.0337) loss_seg: 0.0338 (0.0334) loss_lansim: 0.0254 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6248 data: 0.0053 max mem: 31630 Epoch: [39] [1240/5278] eta: 2:57:38 lr: 1.4201899640081734e-06 loss: 0.0341 (0.0338) loss_seg: 0.0339 (0.0335) loss_lansim: 0.0256 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6274 data: 0.0053 max mem: 31630 Epoch: [39] [1250/5278] eta: 2:57:11 lr: 1.417023430892969e-06 loss: 0.0341 (0.0338) loss_seg: 0.0338 (0.0335) loss_lansim: 0.0258 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6304 data: 0.0053 max mem: 31630 Epoch: [39] [1260/5278] eta: 2:56:45 lr: 1.4138561113536876e-06 loss: 0.0333 (0.0338) loss_seg: 0.0330 (0.0335) loss_lansim: 0.0255 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6327 data: 0.0053 max mem: 31630 Epoch: [39] [1270/5278] eta: 2:56:18 lr: 1.41068800323655e-06 loss: 0.0331 (0.0337) loss_seg: 0.0329 (0.0335) loss_lansim: 0.0254 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6351 data: 0.0053 max mem: 31630 Epoch: [39] [1280/5278] eta: 2:55:52 lr: 1.4075191043764813e-06 loss: 0.0326 (0.0337) loss_seg: 0.0324 (0.0335) loss_lansim: 0.0254 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6376 data: 0.0054 max mem: 31630 Epoch: [39] [1290/5278] eta: 2:55:26 lr: 1.4043494125970292e-06 loss: 0.0320 (0.0337) loss_seg: 0.0317 (0.0334) loss_lansim: 0.0252 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6379 data: 0.0053 max mem: 31630 Epoch: [39] [1300/5278] eta: 2:55:00 lr: 1.4011789257102843e-06 loss: 0.0319 (0.0337) loss_seg: 0.0316 (0.0334) loss_lansim: 0.0254 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6386 data: 0.0053 max mem: 31630 Epoch: [39] [1310/5278] eta: 2:54:33 lr: 1.39800764151676e-06 loss: 0.0319 (0.0337) loss_seg: 0.0316 (0.0334) loss_lansim: 0.0258 (0.0260) loss_contra: 0.0001 (0.0009) time: 2.6388 data: 0.0053 max mem: 31630 Epoch: [39] [1320/5278] eta: 2:54:07 lr: 1.3948355578053476e-06 loss: 0.0317 (0.0337) loss_seg: 0.0314 (0.0334) loss_lansim: 0.0258 (0.0260) loss_contra: 0.0001 (0.0009) time: 2.6393 data: 0.0053 max mem: 31630 Epoch: [39] [1330/5278] eta: 2:53:40 lr: 1.3916626723531946e-06 loss: 0.0318 (0.0337) loss_seg: 0.0315 (0.0334) loss_lansim: 0.0258 (0.0260) loss_contra: 0.0001 (0.0009) time: 2.6398 data: 0.0053 max mem: 31630 Epoch: [39] [1340/5278] eta: 2:53:14 lr: 1.3884889829256278e-06 loss: 0.0317 (0.0337) loss_seg: 0.0314 (0.0334) loss_lansim: 0.0261 (0.0260) loss_contra: 0.0001 (0.0009) time: 2.6402 data: 0.0053 max mem: 31630 Epoch: [39] [1350/5278] eta: 2:52:48 lr: 1.3853144872760303e-06 loss: 0.0316 (0.0337) loss_seg: 0.0313 (0.0334) loss_lansim: 0.0260 (0.0260) loss_contra: 0.0001 (0.0009) time: 2.6402 data: 0.0053 max mem: 31630 Epoch: [39] [1360/5278] eta: 2:52:21 lr: 1.3821391831457924e-06 loss: 0.0312 (0.0337) loss_seg: 0.0310 (0.0334) loss_lansim: 0.0260 (0.0260) loss_contra: 0.0001 (0.0009) time: 2.6409 data: 0.0053 max mem: 31630 Epoch: [39] [1370/5278] eta: 2:51:55 lr: 1.3789630682641857e-06 loss: 0.0316 (0.0337) loss_seg: 0.0314 (0.0334) loss_lansim: 0.0261 (0.0260) loss_contra: 0.0001 (0.0009) time: 2.6410 data: 0.0053 max mem: 31630 Epoch: [39] [1380/5278] eta: 2:51:29 lr: 1.375786140348283e-06 loss: 0.0316 (0.0337) loss_seg: 0.0313 (0.0334) loss_lansim: 0.0261 (0.0260) loss_contra: 0.0001 (0.0009) time: 2.6413 data: 0.0053 max mem: 31630 Epoch: [39] [1390/5278] eta: 2:51:03 lr: 1.3726083971028311e-06 loss: 0.0316 (0.0337) loss_seg: 0.0313 (0.0334) loss_lansim: 0.0261 (0.0260) loss_contra: 0.0001 (0.0009) time: 2.6436 data: 0.0053 max mem: 31630 Epoch: [39] [1400/5278] eta: 2:50:37 lr: 1.369429836220197e-06 loss: 0.0322 (0.0337) loss_seg: 0.0319 (0.0334) loss_lansim: 0.0262 (0.0260) loss_contra: 0.0001 (0.0009) time: 2.6442 data: 0.0053 max mem: 31630 Epoch: [39] [1410/5278] eta: 2:50:10 lr: 1.366250455380239e-06 loss: 0.0323 (0.0337) loss_seg: 0.0320 (0.0334) loss_lansim: 0.0259 (0.0260) loss_contra: 0.0001 (0.0009) time: 2.6437 data: 0.0052 max mem: 31630 Epoch: [39] [1420/5278] eta: 2:49:44 lr: 1.3630702522502214e-06 loss: 0.0324 (0.0337) loss_seg: 0.0321 (0.0334) loss_lansim: 0.0258 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6435 data: 0.0052 max mem: 31630 Epoch: [39] [1430/5278] eta: 2:49:18 lr: 1.3598892244846839e-06 loss: 0.0323 (0.0337) loss_seg: 0.0320 (0.0334) loss_lansim: 0.0259 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6439 data: 0.0052 max mem: 31630 Epoch: [39] [1440/5278] eta: 2:48:51 lr: 1.3567073697253834e-06 loss: 0.0316 (0.0337) loss_seg: 0.0314 (0.0334) loss_lansim: 0.0252 (0.0260) loss_contra: 0.0001 (0.0009) time: 2.6437 data: 0.0052 max mem: 31630 Epoch: [39] [1450/5278] eta: 2:48:25 lr: 1.3535246856011608e-06 loss: 0.0322 (0.0337) loss_seg: 0.0319 (0.0334) loss_lansim: 0.0256 (0.0260) loss_contra: 0.0001 (0.0009) time: 2.6437 data: 0.0052 max mem: 31630 Epoch: [39] [1460/5278] eta: 2:47:58 lr: 1.3503411697278513e-06 loss: 0.0322 (0.0337) loss_seg: 0.0319 (0.0334) loss_lansim: 0.0256 (0.0260) loss_contra: 0.0001 (0.0011) time: 2.6437 data: 0.0052 max mem: 31630 Epoch: [39] [1470/5278] eta: 2:47:32 lr: 1.3471568197081491e-06 loss: 0.0318 (0.0337) loss_seg: 0.0316 (0.0334) loss_lansim: 0.0255 (0.0260) loss_contra: 0.0001 (0.0011) time: 2.6439 data: 0.0053 max mem: 31630 Epoch: [39] [1480/5278] eta: 2:47:06 lr: 1.343971633131545e-06 loss: 0.0318 (0.0337) loss_seg: 0.0316 (0.0334) loss_lansim: 0.0259 (0.0260) loss_contra: 0.0001 (0.0011) time: 2.6433 data: 0.0052 max mem: 31630 Epoch: [39] [1490/5278] eta: 2:46:39 lr: 1.3407856075741887e-06 loss: 0.0324 (0.0337) loss_seg: 0.0321 (0.0335) loss_lansim: 0.0261 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6406 data: 0.0052 max mem: 31630 Epoch: [39] [1500/5278] eta: 2:46:13 lr: 1.3375987405987953e-06 loss: 0.0329 (0.0337) loss_seg: 0.0326 (0.0335) loss_lansim: 0.0259 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6401 data: 0.0052 max mem: 31630 Epoch: [39] [1510/5278] eta: 2:45:47 lr: 1.3344110297545032e-06 loss: 0.0322 (0.0337) loss_seg: 0.0319 (0.0334) loss_lansim: 0.0264 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6407 data: 0.0052 max mem: 31630 Epoch: [39] [1520/5278] eta: 2:45:20 lr: 1.3312224725768096e-06 loss: 0.0318 (0.0337) loss_seg: 0.0316 (0.0334) loss_lansim: 0.0265 (0.0260) loss_contra: 0.0001 (0.0011) time: 2.6402 data: 0.0053 max mem: 31630 Epoch: [39] [1530/5278] eta: 2:44:54 lr: 1.3280330665874262e-06 loss: 0.0318 (0.0337) loss_seg: 0.0316 (0.0334) loss_lansim: 0.0260 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6400 data: 0.0053 max mem: 31630 Epoch: [39] [1540/5278] eta: 2:44:27 lr: 1.3248428092941735e-06 loss: 0.0322 (0.0337) loss_seg: 0.0319 (0.0335) loss_lansim: 0.0260 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6396 data: 0.0053 max mem: 31630 Epoch: [39] [1550/5278] eta: 2:44:01 lr: 1.3216516981908726e-06 loss: 0.0319 (0.0337) loss_seg: 0.0317 (0.0334) loss_lansim: 0.0260 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6395 data: 0.0053 max mem: 31630 Epoch: [39] [1560/5278] eta: 2:43:34 lr: 1.3184597307571994e-06 loss: 0.0316 (0.0337) loss_seg: 0.0314 (0.0334) loss_lansim: 0.0260 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6392 data: 0.0053 max mem: 31630 Epoch: [39] [1570/5278] eta: 2:43:08 lr: 1.3152669044586109e-06 loss: 0.0319 (0.0337) loss_seg: 0.0317 (0.0334) loss_lansim: 0.0262 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6387 data: 0.0053 max mem: 31630 Epoch: [39] [1580/5278] eta: 2:42:41 lr: 1.3120732167461964e-06 loss: 0.0319 (0.0337) loss_seg: 0.0317 (0.0334) loss_lansim: 0.0258 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6388 data: 0.0053 max mem: 31630 Epoch: [39] [1590/5278] eta: 2:42:15 lr: 1.3088786650565721e-06 loss: 0.0307 (0.0337) loss_seg: 0.0305 (0.0334) loss_lansim: 0.0257 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6387 data: 0.0053 max mem: 31630 Epoch: [39] [1600/5278] eta: 2:41:49 lr: 1.3056832468117304e-06 loss: 0.0303 (0.0337) loss_seg: 0.0300 (0.0334) loss_lansim: 0.0258 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6384 data: 0.0053 max mem: 31630 Epoch: [39] [1610/5278] eta: 2:41:22 lr: 1.3024869594189593e-06 loss: 0.0306 (0.0337) loss_seg: 0.0303 (0.0334) loss_lansim: 0.0257 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6395 data: 0.0052 max mem: 31630 Epoch: [39] [1620/5278] eta: 2:40:56 lr: 1.29928980027069e-06 loss: 0.0306 (0.0337) loss_seg: 0.0303 (0.0334) loss_lansim: 0.0256 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6397 data: 0.0052 max mem: 31630 Epoch: [39] [1630/5278] eta: 2:40:30 lr: 1.296091766744386e-06 loss: 0.0299 (0.0336) loss_seg: 0.0297 (0.0334) loss_lansim: 0.0256 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6396 data: 0.0052 max mem: 31630 Epoch: [39] [1640/5278] eta: 2:40:03 lr: 1.292892856202384e-06 loss: 0.0298 (0.0336) loss_seg: 0.0295 (0.0333) loss_lansim: 0.0256 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6397 data: 0.0052 max mem: 31630 Epoch: [39] [1650/5278] eta: 2:39:37 lr: 1.2896930659918121e-06 loss: 0.0298 (0.0336) loss_seg: 0.0295 (0.0334) loss_lansim: 0.0256 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6397 data: 0.0052 max mem: 31630 Epoch: [39] [1660/5278] eta: 2:39:10 lr: 1.2864923934444286e-06 loss: 0.0306 (0.0337) loss_seg: 0.0304 (0.0334) loss_lansim: 0.0256 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6399 data: 0.0052 max mem: 31630 Epoch: [39] [1670/5278] eta: 2:38:44 lr: 1.2832908358765056e-06 loss: 0.0305 (0.0337) loss_seg: 0.0302 (0.0334) loss_lansim: 0.0256 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6406 data: 0.0052 max mem: 31630 Epoch: [39] [1680/5278] eta: 2:38:18 lr: 1.280088390588665e-06 loss: 0.0304 (0.0337) loss_seg: 0.0300 (0.0334) loss_lansim: 0.0257 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6417 data: 0.0052 max mem: 31630 Epoch: [39] [1690/5278] eta: 2:37:51 lr: 1.2768850548657907e-06 loss: 0.0306 (0.0337) loss_seg: 0.0304 (0.0334) loss_lansim: 0.0258 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6417 data: 0.0052 max mem: 31630 Epoch: [39] [1700/5278] eta: 2:37:25 lr: 1.2736808259768606e-06 loss: 0.0306 (0.0337) loss_seg: 0.0304 (0.0334) loss_lansim: 0.0256 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6412 data: 0.0052 max mem: 31630 Epoch: [39] [1710/5278] eta: 2:36:59 lr: 1.2704757011748242e-06 loss: 0.0307 (0.0337) loss_seg: 0.0304 (0.0334) loss_lansim: 0.0256 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6400 data: 0.0052 max mem: 31630 Epoch: [39] [1720/5278] eta: 2:36:32 lr: 1.2672696776964336e-06 loss: 0.0323 (0.0337) loss_seg: 0.0320 (0.0334) loss_lansim: 0.0256 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6408 data: 0.0052 max mem: 31630 Epoch: [39] [1730/5278] eta: 2:36:06 lr: 1.2640627527621476e-06 loss: 0.0335 (0.0337) loss_seg: 0.0332 (0.0334) loss_lansim: 0.0260 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6433 data: 0.0052 max mem: 31630 Epoch: [39] [1740/5278] eta: 2:35:40 lr: 1.2608549235759586e-06 loss: 0.0325 (0.0337) loss_seg: 0.0323 (0.0334) loss_lansim: 0.0260 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6437 data: 0.0052 max mem: 31630 Epoch: [39] [1750/5278] eta: 2:35:14 lr: 1.2576461873252634e-06 loss: 0.0323 (0.0337) loss_seg: 0.0320 (0.0334) loss_lansim: 0.0260 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6439 data: 0.0052 max mem: 31630 Epoch: [39] [1760/5278] eta: 2:34:47 lr: 1.2544365411806873e-06 loss: 0.0307 (0.0336) loss_seg: 0.0304 (0.0334) loss_lansim: 0.0260 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6442 data: 0.0052 max mem: 31630 Epoch: [39] [1770/5278] eta: 2:34:21 lr: 1.251225982295982e-06 loss: 0.0306 (0.0336) loss_seg: 0.0304 (0.0334) loss_lansim: 0.0260 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6442 data: 0.0052 max mem: 31630 Epoch: [39] [1780/5278] eta: 2:33:54 lr: 1.2480145078078453e-06 loss: 0.0305 (0.0336) loss_seg: 0.0303 (0.0333) loss_lansim: 0.0260 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6429 data: 0.0052 max mem: 31630 Epoch: [39] [1790/5278] eta: 2:33:28 lr: 1.2448021148357784e-06 loss: 0.0305 (0.0336) loss_seg: 0.0302 (0.0334) loss_lansim: 0.0260 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6429 data: 0.0052 max mem: 31630 Epoch: [39] [1800/5278] eta: 2:33:02 lr: 1.2415888004819394e-06 loss: 0.0301 (0.0336) loss_seg: 0.0298 (0.0333) loss_lansim: 0.0260 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6434 data: 0.0052 max mem: 31630 Epoch: [39] [1810/5278] eta: 2:32:35 lr: 1.2383745618309597e-06 loss: 0.0294 (0.0336) loss_seg: 0.0292 (0.0333) loss_lansim: 0.0261 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6440 data: 0.0052 max mem: 31630 Epoch: [39] [1820/5278] eta: 2:32:09 lr: 1.2351593959498317e-06 loss: 0.0289 (0.0336) loss_seg: 0.0286 (0.0333) loss_lansim: 0.0260 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6432 data: 0.0051 max mem: 31630 Epoch: [39] [1830/5278] eta: 2:31:43 lr: 1.2319432998877207e-06 loss: 0.0294 (0.0336) loss_seg: 0.0292 (0.0334) loss_lansim: 0.0258 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6407 data: 0.0051 max mem: 31630 Epoch: [39] [1840/5278] eta: 2:31:16 lr: 1.22872627067582e-06 loss: 0.0302 (0.0337) loss_seg: 0.0299 (0.0334) loss_lansim: 0.0260 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6407 data: 0.0051 max mem: 31630 Epoch: [39] [1850/5278] eta: 2:30:50 lr: 1.2255083053271573e-06 loss: 0.0309 (0.0337) loss_seg: 0.0306 (0.0334) loss_lansim: 0.0260 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6405 data: 0.0051 max mem: 31630 Epoch: [39] [1860/5278] eta: 2:30:23 lr: 1.2222894008364777e-06 loss: 0.0313 (0.0337) loss_seg: 0.0310 (0.0334) loss_lansim: 0.0256 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6405 data: 0.0051 max mem: 31630 Epoch: [39] [1870/5278] eta: 2:29:57 lr: 1.2190695541800457e-06 loss: 0.0313 (0.0337) loss_seg: 0.0310 (0.0334) loss_lansim: 0.0252 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6405 data: 0.0051 max mem: 31630 Epoch: [39] [1880/5278] eta: 2:29:31 lr: 1.215848762315493e-06 loss: 0.0330 (0.0336) loss_seg: 0.0327 (0.0334) loss_lansim: 0.0252 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6406 data: 0.0051 max mem: 31630 Epoch: [39] [1890/5278] eta: 2:29:04 lr: 1.2126270221816185e-06 loss: 0.0328 (0.0336) loss_seg: 0.0326 (0.0333) loss_lansim: 0.0252 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6411 data: 0.0051 max mem: 31630 Epoch: [39] [1900/5278] eta: 2:28:38 lr: 1.2094043306982603e-06 loss: 0.0330 (0.0336) loss_seg: 0.0327 (0.0333) loss_lansim: 0.0253 (0.0260) loss_contra: 0.0001 (0.0010) time: 2.6410 data: 0.0051 max mem: 31630 Epoch: [39] [1910/5278] eta: 2:28:11 lr: 1.2061806847660928e-06 loss: 0.0332 (0.0336) loss_seg: 0.0329 (0.0334) loss_lansim: 0.0255 (0.0260) loss_contra: 0.0001 (0.0009) time: 2.6404 data: 0.0051 max mem: 31630 Epoch: [39] [1920/5278] eta: 2:27:45 lr: 1.2029560812664632e-06 loss: 0.0333 (0.0336) loss_seg: 0.0331 (0.0333) loss_lansim: 0.0253 (0.0260) loss_contra: 0.0001 (0.0009) time: 2.6406 data: 0.0051 max mem: 31630 Epoch: [39] [1930/5278] eta: 2:27:19 lr: 1.1997305170611852e-06 loss: 0.0328 (0.0336) loss_seg: 0.0325 (0.0333) loss_lansim: 0.0252 (0.0260) loss_contra: 0.0000 (0.0009) time: 2.6406 data: 0.0051 max mem: 31630 Epoch: [39] [1940/5278] eta: 2:26:52 lr: 1.1965039889924018e-06 loss: 0.0315 (0.0336) loss_seg: 0.0312 (0.0333) loss_lansim: 0.0253 (0.0260) loss_contra: 0.0000 (0.0009) time: 2.6406 data: 0.0052 max mem: 31630 Epoch: [39] [1950/5278] eta: 2:26:26 lr: 1.1932764938823727e-06 loss: 0.0310 (0.0336) loss_seg: 0.0307 (0.0333) loss_lansim: 0.0253 (0.0260) loss_contra: 0.0000 (0.0009) time: 2.6408 data: 0.0052 max mem: 31630 Epoch: [39] [1960/5278] eta: 2:25:59 lr: 1.1900480285333042e-06 loss: 0.0309 (0.0336) loss_seg: 0.0306 (0.0333) loss_lansim: 0.0254 (0.0260) loss_contra: 0.0000 (0.0009) time: 2.6408 data: 0.0052 max mem: 31630 Epoch: [39] [1970/5278] eta: 2:25:33 lr: 1.1868185897271318e-06 loss: 0.0309 (0.0336) loss_seg: 0.0306 (0.0333) loss_lansim: 0.0254 (0.0260) loss_contra: 0.0000 (0.0009) time: 2.6410 data: 0.0052 max mem: 31630 Epoch: [39] [1980/5278] eta: 2:25:07 lr: 1.1835881742253752e-06 loss: 0.0309 (0.0336) loss_seg: 0.0306 (0.0333) loss_lansim: 0.0255 (0.0260) loss_contra: 0.0000 (0.0009) time: 2.6407 data: 0.0052 max mem: 31630 Epoch: [39] [1990/5278] eta: 2:24:40 lr: 1.1803567787689154e-06 loss: 0.0312 (0.0336) loss_seg: 0.0310 (0.0334) loss_lansim: 0.0254 (0.0260) loss_contra: 0.0000 (0.0009) time: 2.6405 data: 0.0052 max mem: 31630 Epoch: [39] [2000/5278] eta: 2:24:14 lr: 1.1771244000778086e-06 loss: 0.0313 (0.0336) loss_seg: 0.0310 (0.0333) loss_lansim: 0.0253 (0.0260) loss_contra: 0.0000 (0.0009) time: 2.6402 data: 0.0053 max mem: 31630 Epoch: [39] [2010/5278] eta: 2:23:47 lr: 1.1738910348510972e-06 loss: 0.0312 (0.0336) loss_seg: 0.0310 (0.0334) loss_lansim: 0.0247 (0.0260) loss_contra: 0.0000 (0.0009) time: 2.6408 data: 0.0054 max mem: 31630 Epoch: [39] [2020/5278] eta: 2:23:21 lr: 1.1706566797665783e-06 loss: 0.0313 (0.0336) loss_seg: 0.0310 (0.0334) loss_lansim: 0.0251 (0.0260) loss_contra: 0.0001 (0.0009) time: 2.6415 data: 0.0054 max mem: 31630 Epoch: [39] [2030/5278] eta: 2:22:55 lr: 1.167421331480648e-06 loss: 0.0320 (0.0336) loss_seg: 0.0317 (0.0334) loss_lansim: 0.0251 (0.0260) loss_contra: 0.0001 (0.0009) time: 2.6419 data: 0.0055 max mem: 31630 Epoch: [39] [2040/5278] eta: 2:22:28 lr: 1.164184986628067e-06 loss: 0.0325 (0.0336) loss_seg: 0.0322 (0.0334) loss_lansim: 0.0250 (0.0260) loss_contra: 0.0001 (0.0009) time: 2.6413 data: 0.0054 max mem: 31630 Epoch: [39] [2050/5278] eta: 2:22:02 lr: 1.1609476418217682e-06 loss: 0.0332 (0.0336) loss_seg: 0.0329 (0.0334) loss_lansim: 0.0250 (0.0260) loss_contra: 0.0001 (0.0009) time: 2.6408 data: 0.0055 max mem: 31630 Epoch: [39] [2060/5278] eta: 2:21:35 lr: 1.157709293652616e-06 loss: 0.0327 (0.0336) loss_seg: 0.0324 (0.0334) loss_lansim: 0.0251 (0.0260) loss_contra: 0.0001 (0.0009) time: 2.6401 data: 0.0055 max mem: 31630 Epoch: [39] [2070/5278] eta: 2:21:09 lr: 1.1544699386892402e-06 loss: 0.0324 (0.0336) loss_seg: 0.0321 (0.0333) loss_lansim: 0.0251 (0.0260) loss_contra: 0.0001 (0.0009) time: 2.6395 data: 0.0055 max mem: 31630 Epoch: [39] [2080/5278] eta: 2:20:43 lr: 1.1512295734777902e-06 loss: 0.0327 (0.0336) loss_seg: 0.0324 (0.0333) loss_lansim: 0.0251 (0.0260) loss_contra: 0.0001 (0.0009) time: 2.6396 data: 0.0054 max mem: 31630 Epoch: [39] [2090/5278] eta: 2:20:16 lr: 1.1479881945417324e-06 loss: 0.0324 (0.0336) loss_seg: 0.0321 (0.0333) loss_lansim: 0.0252 (0.0260) loss_contra: 0.0001 (0.0009) time: 2.6391 data: 0.0054 max mem: 31630 Epoch: [39] [2100/5278] eta: 2:19:50 lr: 1.144745798381598e-06 loss: 0.0324 (0.0336) loss_seg: 0.0321 (0.0333) loss_lansim: 0.0253 (0.0260) loss_contra: 0.0001 (0.0009) time: 2.6394 data: 0.0054 max mem: 31630 Epoch: [39] [2110/5278] eta: 2:19:23 lr: 1.1415023814748067e-06 loss: 0.0320 (0.0336) loss_seg: 0.0317 (0.0333) loss_lansim: 0.0253 (0.0260) loss_contra: 0.0001 (0.0009) time: 2.6385 data: 0.0053 max mem: 31630 Epoch: [39] [2120/5278] eta: 2:18:57 lr: 1.1382579402754082e-06 loss: 0.0311 (0.0336) loss_seg: 0.0308 (0.0333) loss_lansim: 0.0254 (0.0260) loss_contra: 0.0001 (0.0009) time: 2.6375 data: 0.0052 max mem: 31630 Epoch: [39] [2130/5278] eta: 2:18:30 lr: 1.1350124712138696e-06 loss: 0.0311 (0.0336) loss_seg: 0.0308 (0.0333) loss_lansim: 0.0255 (0.0260) loss_contra: 0.0001 (0.0009) time: 2.6370 data: 0.0052 max mem: 31630 Epoch: [39] [2140/5278] eta: 2:18:04 lr: 1.131765970696811e-06 loss: 0.0311 (0.0336) loss_seg: 0.0308 (0.0333) loss_lansim: 0.0255 (0.0260) loss_contra: 0.0001 (0.0009) time: 2.6372 data: 0.0052 max mem: 31630 Epoch: [39] [2150/5278] eta: 2:17:38 lr: 1.1285184351068163e-06 loss: 0.0311 (0.0336) loss_seg: 0.0308 (0.0334) loss_lansim: 0.0255 (0.0260) loss_contra: 0.0001 (0.0009) time: 2.6376 data: 0.0052 max mem: 31630 Epoch: [39] [2160/5278] eta: 2:17:11 lr: 1.1252698608021643e-06 loss: 0.0305 (0.0336) loss_seg: 0.0303 (0.0334) loss_lansim: 0.0256 (0.0260) loss_contra: 0.0001 (0.0009) time: 2.6383 data: 0.0052 max mem: 31630 Epoch: [39] [2170/5278] eta: 2:16:45 lr: 1.1220202441166027e-06 loss: 0.0311 (0.0336) loss_seg: 0.0308 (0.0333) loss_lansim: 0.0256 (0.0260) loss_contra: 0.0001 (0.0009) time: 2.6385 data: 0.0052 max mem: 31630 Epoch: [39] [2180/5278] eta: 2:16:18 lr: 1.1187695813590717e-06 loss: 0.0305 (0.0337) loss_seg: 0.0303 (0.0334) loss_lansim: 0.0255 (0.0259) loss_contra: 0.0001 (0.0009) time: 2.6390 data: 0.0052 max mem: 31630 Epoch: [39] [2190/5278] eta: 2:15:52 lr: 1.1155178688135023e-06 loss: 0.0311 (0.0337) loss_seg: 0.0308 (0.0335) loss_lansim: 0.0254 (0.0260) loss_contra: 0.0001 (0.0009) time: 2.6396 data: 0.0052 max mem: 31630 Epoch: [39] [2200/5278] eta: 2:15:26 lr: 1.112265102738534e-06 loss: 0.0320 (0.0337) loss_seg: 0.0317 (0.0334) loss_lansim: 0.0254 (0.0260) loss_contra: 0.0001 (0.0009) time: 2.6429 data: 0.0052 max mem: 31630 Epoch: [39] [2210/5278] eta: 2:15:00 lr: 1.1090112793672754e-06 loss: 0.0323 (0.0337) loss_seg: 0.0320 (0.0335) loss_lansim: 0.0255 (0.0260) loss_contra: 0.0001 (0.0009) time: 2.6440 data: 0.0052 max mem: 31630 Epoch: [39] [2220/5278] eta: 2:14:34 lr: 1.1057563949070165e-06 loss: 0.0348 (0.0337) loss_seg: 0.0345 (0.0335) loss_lansim: 0.0255 (0.0260) loss_contra: 0.0001 (0.0009) time: 2.6458 data: 0.0052 max mem: 31630 Epoch: [39] [2230/5278] eta: 2:14:08 lr: 1.1025004455390107e-06 loss: 0.0349 (0.0337) loss_seg: 0.0346 (0.0335) loss_lansim: 0.0254 (0.0259) loss_contra: 0.0001 (0.0009) time: 2.6486 data: 0.0052 max mem: 31630 Epoch: [39] [2240/5278] eta: 2:13:42 lr: 1.0992434274181817e-06 loss: 0.0346 (0.0337) loss_seg: 0.0343 (0.0335) loss_lansim: 0.0254 (0.0259) loss_contra: 0.0001 (0.0009) time: 2.6534 data: 0.0051 max mem: 31630 Epoch: [39] [2250/5278] eta: 2:13:15 lr: 1.0959853366728598e-06 loss: 0.0346 (0.0337) loss_seg: 0.0343 (0.0335) loss_lansim: 0.0254 (0.0259) loss_contra: 0.0001 (0.0009) time: 2.6538 data: 0.0051 max mem: 31630 Epoch: [39] [2260/5278] eta: 2:12:49 lr: 1.0927261694045193e-06 loss: 0.0340 (0.0337) loss_seg: 0.0338 (0.0334) loss_lansim: 0.0255 (0.0259) loss_contra: 0.0001 (0.0009) time: 2.6533 data: 0.0050 max mem: 31630 Epoch: [39] [2270/5278] eta: 2:12:23 lr: 1.0894659216874702e-06 loss: 0.0340 (0.0337) loss_seg: 0.0338 (0.0334) loss_lansim: 0.0254 (0.0259) loss_contra: 0.0001 (0.0009) time: 2.6537 data: 0.0050 max mem: 31630 Epoch: [39] [2280/5278] eta: 2:11:57 lr: 1.0862045895686258e-06 loss: 0.0335 (0.0337) loss_seg: 0.0333 (0.0334) loss_lansim: 0.0255 (0.0259) loss_contra: 0.0001 (0.0009) time: 2.6575 data: 0.0051 max mem: 31630 Epoch: [39] [2290/5278] eta: 2:11:31 lr: 1.082942169067187e-06 loss: 0.0327 (0.0337) loss_seg: 0.0324 (0.0334) loss_lansim: 0.0255 (0.0259) loss_contra: 0.0001 (0.0009) time: 2.6666 data: 0.0051 max mem: 31630 Epoch: [39] [2300/5278] eta: 2:11:06 lr: 1.0796786561743711e-06 loss: 0.0320 (0.0337) loss_seg: 0.0318 (0.0334) loss_lansim: 0.0255 (0.0259) loss_contra: 0.0001 (0.0009) time: 2.6729 data: 0.0051 max mem: 31630 Epoch: [39] [2310/5278] eta: 2:10:40 lr: 1.076414046853089e-06 loss: 0.0313 (0.0337) loss_seg: 0.0310 (0.0334) loss_lansim: 0.0252 (0.0259) loss_contra: 0.0001 (0.0009) time: 2.6728 data: 0.0050 max mem: 31630 Epoch: [39] [2320/5278] eta: 2:10:14 lr: 1.0731483370376951e-06 loss: 0.0307 (0.0337) loss_seg: 0.0305 (0.0334) loss_lansim: 0.0251 (0.0259) loss_contra: 0.0001 (0.0009) time: 2.6715 data: 0.0050 max mem: 31630 Epoch: [39] [2330/5278] eta: 2:09:47 lr: 1.069881522633659e-06 loss: 0.0310 (0.0337) loss_seg: 0.0307 (0.0334) loss_lansim: 0.0253 (0.0259) loss_contra: 0.0001 (0.0009) time: 2.6686 data: 0.0050 max mem: 31630 Epoch: [39] [2340/5278] eta: 2:09:21 lr: 1.0666135995172747e-06 loss: 0.0307 (0.0337) loss_seg: 0.0304 (0.0334) loss_lansim: 0.0254 (0.0259) loss_contra: 0.0001 (0.0009) time: 2.6647 data: 0.0051 max mem: 31630 Epoch: [39] [2350/5278] eta: 2:08:54 lr: 1.0633445635353232e-06 loss: 0.0307 (0.0337) loss_seg: 0.0305 (0.0334) loss_lansim: 0.0255 (0.0259) loss_contra: 0.0001 (0.0009) time: 2.6645 data: 0.0051 max mem: 31630 Epoch: [39] [2360/5278] eta: 2:08:28 lr: 1.0600744105048055e-06 loss: 0.0313 (0.0337) loss_seg: 0.0310 (0.0334) loss_lansim: 0.0254 (0.0259) loss_contra: 0.0001 (0.0009) time: 2.6648 data: 0.0051 max mem: 31630 Epoch: [39] [2370/5278] eta: 2:08:01 lr: 1.0568031362125955e-06 loss: 0.0310 (0.0337) loss_seg: 0.0307 (0.0334) loss_lansim: 0.0256 (0.0259) loss_contra: 0.0001 (0.0009) time: 2.6644 data: 0.0051 max mem: 31630 Epoch: [39] [2380/5278] eta: 2:07:35 lr: 1.0535307364151343e-06 loss: 0.0316 (0.0337) loss_seg: 0.0314 (0.0334) loss_lansim: 0.0252 (0.0259) loss_contra: 0.0001 (0.0009) time: 2.6609 data: 0.0051 max mem: 31630 Epoch: [39] [2390/5278] eta: 2:07:09 lr: 1.0502572068380727e-06 loss: 0.0313 (0.0337) loss_seg: 0.0310 (0.0334) loss_lansim: 0.0252 (0.0259) loss_contra: 0.0001 (0.0009) time: 2.6540 data: 0.0051 max mem: 31630 Epoch: [39] [2400/5278] eta: 2:06:43 lr: 1.0469825431759884e-06 loss: 0.0314 (0.0337) loss_seg: 0.0311 (0.0334) loss_lansim: 0.0251 (0.0259) loss_contra: 0.0001 (0.0009) time: 2.6464 data: 0.0052 max mem: 31630 Epoch: [39] [2410/5278] eta: 2:06:16 lr: 1.0437067410920183e-06 loss: 0.0314 (0.0337) loss_seg: 0.0311 (0.0334) loss_lansim: 0.0253 (0.0259) loss_contra: 0.0001 (0.0009) time: 2.6470 data: 0.0052 max mem: 31630 Epoch: [39] [2420/5278] eta: 2:05:50 lr: 1.0404297962175358e-06 loss: 0.0325 (0.0337) loss_seg: 0.0322 (0.0334) loss_lansim: 0.0252 (0.0259) loss_contra: 0.0001 (0.0009) time: 2.6474 data: 0.0052 max mem: 31630 Epoch: [39] [2430/5278] eta: 2:05:24 lr: 1.0371517041517736e-06 loss: 0.0324 (0.0337) loss_seg: 0.0322 (0.0334) loss_lansim: 0.0253 (0.0259) loss_contra: 0.0001 (0.0009) time: 2.6480 data: 0.0052 max mem: 31630 Epoch: [39] [2440/5278] eta: 2:04:57 lr: 1.0338724604615216e-06 loss: 0.0335 (0.0337) loss_seg: 0.0332 (0.0334) loss_lansim: 0.0252 (0.0259) loss_contra: 0.0001 (0.0009) time: 2.6483 data: 0.0052 max mem: 31630 Epoch: [39] [2450/5278] eta: 2:04:31 lr: 1.0305920606807395e-06 loss: 0.0335 (0.0337) loss_seg: 0.0332 (0.0334) loss_lansim: 0.0253 (0.0259) loss_contra: 0.0001 (0.0009) time: 2.6484 data: 0.0052 max mem: 31630 Epoch: [39] [2460/5278] eta: 2:04:04 lr: 1.0273105003102145e-06 loss: 0.0328 (0.0337) loss_seg: 0.0325 (0.0334) loss_lansim: 0.0253 (0.0259) loss_contra: 0.0001 (0.0009) time: 2.6483 data: 0.0052 max mem: 31630 Epoch: [39] [2470/5278] eta: 2:03:38 lr: 1.0240277748171628e-06 loss: 0.0328 (0.0337) loss_seg: 0.0325 (0.0334) loss_lansim: 0.0253 (0.0259) loss_contra: 0.0001 (0.0009) time: 2.6473 data: 0.0052 max mem: 31630 Epoch: [39] [2480/5278] eta: 2:03:11 lr: 1.0207438796349076e-06 loss: 0.0328 (0.0337) loss_seg: 0.0325 (0.0334) loss_lansim: 0.0259 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.6448 data: 0.0052 max mem: 31630 Epoch: [39] [2490/5278] eta: 2:02:45 lr: 1.01745881016247e-06 loss: 0.0331 (0.0337) loss_seg: 0.0329 (0.0334) loss_lansim: 0.0259 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.6403 data: 0.0052 max mem: 31630 Epoch: [39] [2500/5278] eta: 2:02:18 lr: 1.0141725617641968e-06 loss: 0.0331 (0.0337) loss_seg: 0.0329 (0.0334) loss_lansim: 0.0258 (0.0259) loss_contra: 0.0000 (0.0008) time: 2.6358 data: 0.0052 max mem: 31630 Epoch: [39] [2510/5278] eta: 2:01:51 lr: 1.0108851297693817e-06 loss: 0.0336 (0.0337) loss_seg: 0.0334 (0.0334) loss_lansim: 0.0254 (0.0259) loss_contra: 0.0000 (0.0008) time: 2.6326 data: 0.0052 max mem: 31630 Epoch: [39] [2520/5278] eta: 2:01:25 lr: 1.0075965094718387e-06 loss: 0.0336 (0.0337) loss_seg: 0.0334 (0.0335) loss_lansim: 0.0258 (0.0259) loss_contra: 0.0000 (0.0008) time: 2.6298 data: 0.0052 max mem: 31630 Epoch: [39] [2530/5278] eta: 2:00:58 lr: 1.0043066961295526e-06 loss: 0.0331 (0.0337) loss_seg: 0.0329 (0.0335) loss_lansim: 0.0257 (0.0259) loss_contra: 0.0000 (0.0008) time: 2.6272 data: 0.0052 max mem: 31630 Epoch: [39] [2540/5278] eta: 2:00:31 lr: 1.0010156849642422e-06 loss: 0.0329 (0.0337) loss_seg: 0.0327 (0.0335) loss_lansim: 0.0259 (0.0259) loss_contra: 0.0000 (0.0008) time: 2.6243 data: 0.0052 max mem: 31630 Epoch: [39] [2550/5278] eta: 2:00:05 lr: 9.977234711609645e-07 loss: 0.0329 (0.0337) loss_seg: 0.0327 (0.0334) loss_lansim: 0.0254 (0.0259) loss_contra: 0.0000 (0.0008) time: 2.6215 data: 0.0052 max mem: 31630 Epoch: [39] [2560/5278] eta: 1:59:38 lr: 9.94430049867668e-07 loss: 0.0330 (0.0337) loss_seg: 0.0327 (0.0335) loss_lansim: 0.0254 (0.0259) loss_contra: 0.0000 (0.0008) time: 2.6219 data: 0.0053 max mem: 31630 Epoch: [39] [2570/5278] eta: 1:59:12 lr: 9.91135416194815e-07 loss: 0.0336 (0.0337) loss_seg: 0.0334 (0.0335) loss_lansim: 0.0254 (0.0259) loss_contra: 0.0000 (0.0008) time: 2.6234 data: 0.0053 max mem: 31630 Epoch: [39] [2580/5278] eta: 1:58:45 lr: 9.878395652149218e-07 loss: 0.0323 (0.0337) loss_seg: 0.0321 (0.0335) loss_lansim: 0.0251 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.6257 data: 0.0053 max mem: 31630 Epoch: [39] [2590/5278] eta: 1:58:19 lr: 9.84542491962137e-07 loss: 0.0323 (0.0337) loss_seg: 0.0321 (0.0335) loss_lansim: 0.0251 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.6279 data: 0.0053 max mem: 31630 Epoch: [39] [2600/5278] eta: 1:57:53 lr: 9.812441914317682e-07 loss: 0.0329 (0.0337) loss_seg: 0.0327 (0.0335) loss_lansim: 0.0250 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.6309 data: 0.0053 max mem: 31630 Epoch: [39] [2610/5278] eta: 1:57:26 lr: 9.779446585798798e-07 loss: 0.0329 (0.0337) loss_seg: 0.0327 (0.0335) loss_lansim: 0.0251 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.6334 data: 0.0053 max mem: 31630 Epoch: [39] [2620/5278] eta: 1:57:00 lr: 9.746438883228035e-07 loss: 0.0312 (0.0337) loss_seg: 0.0309 (0.0335) loss_lansim: 0.0251 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.6358 data: 0.0053 max mem: 31630 Epoch: [39] [2630/5278] eta: 1:56:33 lr: 9.713418755366925e-07 loss: 0.0310 (0.0337) loss_seg: 0.0307 (0.0335) loss_lansim: 0.0252 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.6384 data: 0.0053 max mem: 31630 Epoch: [39] [2640/5278] eta: 1:56:07 lr: 9.68038615057018e-07 loss: 0.0310 (0.0337) loss_seg: 0.0308 (0.0335) loss_lansim: 0.0253 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.6411 data: 0.0053 max mem: 31630 Epoch: [39] [2650/5278] eta: 1:55:41 lr: 9.64734101678138e-07 loss: 0.0323 (0.0338) loss_seg: 0.0321 (0.0335) loss_lansim: 0.0263 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.6438 data: 0.0053 max mem: 31630 Epoch: [39] [2660/5278] eta: 1:55:14 lr: 9.614283301527815e-07 loss: 0.0320 (0.0338) loss_seg: 0.0317 (0.0335) loss_lansim: 0.0253 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.6438 data: 0.0053 max mem: 31630 Epoch: [39] [2670/5278] eta: 1:54:48 lr: 9.581212951915705e-07 loss: 0.0315 (0.0338) loss_seg: 0.0312 (0.0335) loss_lansim: 0.0255 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.6437 data: 0.0053 max mem: 31630 Epoch: [39] [2680/5278] eta: 1:54:21 lr: 9.548129914624878e-07 loss: 0.0315 (0.0338) loss_seg: 0.0312 (0.0335) loss_lansim: 0.0258 (0.0259) loss_contra: 0.0000 (0.0008) time: 2.6437 data: 0.0053 max mem: 31630 Epoch: [39] [2690/5278] eta: 1:53:55 lr: 9.51503413590415e-07 loss: 0.0315 (0.0338) loss_seg: 0.0312 (0.0335) loss_lansim: 0.0257 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.6440 data: 0.0052 max mem: 31630 Epoch: [39] [2700/5278] eta: 1:53:29 lr: 9.481925561565842e-07 loss: 0.0311 (0.0338) loss_seg: 0.0309 (0.0335) loss_lansim: 0.0259 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.6439 data: 0.0053 max mem: 31630 Epoch: [39] [2710/5278] eta: 1:53:02 lr: 9.448804136980692e-07 loss: 0.0310 (0.0338) loss_seg: 0.0307 (0.0335) loss_lansim: 0.0258 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.6439 data: 0.0053 max mem: 31630 Epoch: [39] [2720/5278] eta: 1:52:36 lr: 9.415669807072206e-07 loss: 0.0311 (0.0338) loss_seg: 0.0309 (0.0335) loss_lansim: 0.0257 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.6440 data: 0.0053 max mem: 31630 Epoch: [39] [2730/5278] eta: 1:52:10 lr: 9.3825225163117e-07 loss: 0.0320 (0.0338) loss_seg: 0.0317 (0.0335) loss_lansim: 0.0254 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.6438 data: 0.0053 max mem: 31630 Epoch: [39] [2740/5278] eta: 1:51:43 lr: 9.349362208712484e-07 loss: 0.0312 (0.0338) loss_seg: 0.0309 (0.0335) loss_lansim: 0.0253 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.6439 data: 0.0053 max mem: 31630 Epoch: [39] [2750/5278] eta: 1:51:17 lr: 9.316188827824347e-07 loss: 0.0304 (0.0338) loss_seg: 0.0302 (0.0335) loss_lansim: 0.0252 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.6438 data: 0.0052 max mem: 31630 Epoch: [39] [2760/5278] eta: 1:50:50 lr: 9.283002316727943e-07 loss: 0.0312 (0.0338) loss_seg: 0.0309 (0.0335) loss_lansim: 0.0253 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.6439 data: 0.0052 max mem: 31630 Epoch: [39] [2770/5278] eta: 1:50:24 lr: 9.249802618028699e-07 loss: 0.0322 (0.0338) loss_seg: 0.0319 (0.0335) loss_lansim: 0.0252 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.6438 data: 0.0052 max mem: 31630 Epoch: [39] [2780/5278] eta: 1:49:58 lr: 9.216589673851411e-07 loss: 0.0323 (0.0338) loss_seg: 0.0320 (0.0335) loss_lansim: 0.0252 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.6441 data: 0.0052 max mem: 31630 Epoch: [39] [2790/5278] eta: 1:49:31 lr: 9.183363425833957e-07 loss: 0.0324 (0.0338) loss_seg: 0.0321 (0.0335) loss_lansim: 0.0253 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.6440 data: 0.0052 max mem: 31630 Epoch: [39] [2800/5278] eta: 1:49:05 lr: 9.150123815121389e-07 loss: 0.0324 (0.0338) loss_seg: 0.0321 (0.0335) loss_lansim: 0.0250 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.6442 data: 0.0052 max mem: 31630 Epoch: [39] [2810/5278] eta: 1:48:38 lr: 9.116870782359444e-07 loss: 0.0333 (0.0338) loss_seg: 0.0331 (0.0335) loss_lansim: 0.0252 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.6442 data: 0.0052 max mem: 31630 Epoch: [39] [2820/5278] eta: 1:48:12 lr: 9.083604267688743e-07 loss: 0.0327 (0.0338) loss_seg: 0.0325 (0.0335) loss_lansim: 0.0252 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.6444 data: 0.0052 max mem: 31630 Epoch: [39] [2830/5278] eta: 1:47:46 lr: 9.050324210738107e-07 loss: 0.0324 (0.0338) loss_seg: 0.0321 (0.0335) loss_lansim: 0.0249 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.6443 data: 0.0052 max mem: 31630 Epoch: [39] [2840/5278] eta: 1:47:19 lr: 9.017030550618215e-07 loss: 0.0333 (0.0338) loss_seg: 0.0331 (0.0335) loss_lansim: 0.0252 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.6443 data: 0.0052 max mem: 31630 Epoch: [39] [2850/5278] eta: 1:46:53 lr: 8.983723225914712e-07 loss: 0.0333 (0.0338) loss_seg: 0.0331 (0.0335) loss_lansim: 0.0252 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.6447 data: 0.0052 max mem: 31630 Epoch: [39] [2860/5278] eta: 1:46:27 lr: 8.950402174681965e-07 loss: 0.0323 (0.0338) loss_seg: 0.0320 (0.0335) loss_lansim: 0.0251 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.6453 data: 0.0052 max mem: 31630 Epoch: [39] [2870/5278] eta: 1:46:00 lr: 8.917067334435936e-07 loss: 0.0327 (0.0338) loss_seg: 0.0325 (0.0335) loss_lansim: 0.0252 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.6463 data: 0.0052 max mem: 31630 Epoch: [39] [2880/5278] eta: 1:45:34 lr: 8.883718642147404e-07 loss: 0.0318 (0.0338) loss_seg: 0.0315 (0.0335) loss_lansim: 0.0252 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.6464 data: 0.0052 max mem: 31630 Epoch: [39] [2890/5278] eta: 1:45:07 lr: 8.85035603423459e-07 loss: 0.0315 (0.0338) loss_seg: 0.0312 (0.0335) loss_lansim: 0.0252 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.6463 data: 0.0052 max mem: 31630 Epoch: [39] [2900/5278] eta: 1:44:41 lr: 8.816979446556465e-07 loss: 0.0318 (0.0338) loss_seg: 0.0315 (0.0335) loss_lansim: 0.0255 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.6459 data: 0.0052 max mem: 31630 Epoch: [39] [2910/5278] eta: 1:44:15 lr: 8.783588814405129e-07 loss: 0.0312 (0.0338) loss_seg: 0.0309 (0.0335) loss_lansim: 0.0252 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.6455 data: 0.0052 max mem: 31630 Epoch: [39] [2920/5278] eta: 1:43:48 lr: 8.750184072498549e-07 loss: 0.0314 (0.0338) loss_seg: 0.0309 (0.0335) loss_lansim: 0.0255 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.6453 data: 0.0052 max mem: 31630 Epoch: [39] [2930/5278] eta: 1:43:22 lr: 8.716765154972686e-07 loss: 0.0312 (0.0338) loss_seg: 0.0309 (0.0335) loss_lansim: 0.0255 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.6457 data: 0.0052 max mem: 31630 Epoch: [39] [2940/5278] eta: 1:42:55 lr: 8.683331995374283e-07 loss: 0.0312 (0.0338) loss_seg: 0.0309 (0.0335) loss_lansim: 0.0254 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.6455 data: 0.0052 max mem: 31630 Epoch: [39] [2950/5278] eta: 1:42:29 lr: 8.649884526652729e-07 loss: 0.0305 (0.0337) loss_seg: 0.0302 (0.0335) loss_lansim: 0.0255 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.6451 data: 0.0052 max mem: 31630 Epoch: [39] [2960/5278] eta: 1:42:03 lr: 8.616422681152262e-07 loss: 0.0315 (0.0337) loss_seg: 0.0311 (0.0335) loss_lansim: 0.0253 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.6452 data: 0.0052 max mem: 31630 Epoch: [39] [2970/5278] eta: 1:41:36 lr: 8.582946390603547e-07 loss: 0.0315 (0.0338) loss_seg: 0.0312 (0.0335) loss_lansim: 0.0253 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.6443 data: 0.0052 max mem: 31630 Epoch: [39] [2980/5278] eta: 1:41:10 lr: 8.549455586115912e-07 loss: 0.0317 (0.0338) loss_seg: 0.0315 (0.0335) loss_lansim: 0.0255 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.6441 data: 0.0052 max mem: 31630 Epoch: [39] [2990/5278] eta: 1:40:44 lr: 8.515950198168636e-07 loss: 0.0317 (0.0338) loss_seg: 0.0315 (0.0335) loss_lansim: 0.0253 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.6445 data: 0.0052 max mem: 31630 Epoch: [39] [3000/5278] eta: 1:40:17 lr: 8.482430156602491e-07 loss: 0.0318 (0.0338) loss_seg: 0.0316 (0.0335) loss_lansim: 0.0252 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.6445 data: 0.0052 max mem: 31630 Epoch: [39] [3010/5278] eta: 1:39:51 lr: 8.448895390611125e-07 loss: 0.0317 (0.0338) loss_seg: 0.0314 (0.0335) loss_lansim: 0.0252 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.6453 data: 0.0052 max mem: 31630 Epoch: [39] [3020/5278] eta: 1:39:24 lr: 8.415345828731897e-07 loss: 0.0318 (0.0338) loss_seg: 0.0316 (0.0335) loss_lansim: 0.0252 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.6457 data: 0.0052 max mem: 31630 Epoch: [39] [3030/5278] eta: 1:38:58 lr: 8.38178139883733e-07 loss: 0.0331 (0.0338) loss_seg: 0.0328 (0.0335) loss_lansim: 0.0252 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.6454 data: 0.0052 max mem: 31630 Epoch: [39] [3040/5278] eta: 1:38:33 lr: 8.348202028125623e-07 loss: 0.0324 (0.0338) loss_seg: 0.0321 (0.0335) loss_lansim: 0.0253 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.6637 data: 0.0052 max mem: 31630 Epoch: [39] [3050/5278] eta: 1:38:08 lr: 8.314607643111464e-07 loss: 0.0324 (0.0338) loss_seg: 0.0321 (0.0335) loss_lansim: 0.0252 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.6885 data: 0.0052 max mem: 31630 Epoch: [39] [3060/5278] eta: 1:37:44 lr: 8.280998169616196e-07 loss: 0.0324 (0.0338) loss_seg: 0.0322 (0.0335) loss_lansim: 0.0252 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.7115 data: 0.0053 max mem: 31630 Epoch: [39] [3070/5278] eta: 1:37:19 lr: 8.247373532758591e-07 loss: 0.0318 (0.0337) loss_seg: 0.0316 (0.0335) loss_lansim: 0.0252 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.7365 data: 0.0053 max mem: 31630 Epoch: [39] [3080/5278] eta: 1:36:54 lr: 8.213733656944667e-07 loss: 0.0316 (0.0338) loss_seg: 0.0314 (0.0335) loss_lansim: 0.0251 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.7634 data: 0.0054 max mem: 31630 Epoch: [39] [3090/5278] eta: 1:36:30 lr: 8.180078465857786e-07 loss: 0.0317 (0.0338) loss_seg: 0.0314 (0.0335) loss_lansim: 0.0251 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.7896 data: 0.0056 max mem: 31630 Epoch: [39] [3100/5278] eta: 1:36:05 lr: 8.146407882448086e-07 loss: 0.0318 (0.0338) loss_seg: 0.0316 (0.0335) loss_lansim: 0.0252 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.8143 data: 0.0057 max mem: 31630 Epoch: [39] [3110/5278] eta: 1:35:40 lr: 8.112721828922523e-07 loss: 0.0324 (0.0338) loss_seg: 0.0322 (0.0335) loss_lansim: 0.0259 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.8391 data: 0.0058 max mem: 31630 Epoch: [39] [3120/5278] eta: 1:35:16 lr: 8.079020226733913e-07 loss: 0.0317 (0.0337) loss_seg: 0.0314 (0.0335) loss_lansim: 0.0259 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.8637 data: 0.0060 max mem: 31630 Epoch: [39] [3130/5278] eta: 1:34:51 lr: 8.045302996570246e-07 loss: 0.0313 (0.0338) loss_seg: 0.0310 (0.0335) loss_lansim: 0.0261 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.8884 data: 0.0062 max mem: 31630 Epoch: [39] [3140/5278] eta: 1:34:26 lr: 8.011570058343333e-07 loss: 0.0319 (0.0338) loss_seg: 0.0317 (0.0335) loss_lansim: 0.0255 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.8943 data: 0.0063 max mem: 31630 Epoch: [39] [3150/5278] eta: 1:34:01 lr: 7.977821331178012e-07 loss: 0.0319 (0.0337) loss_seg: 0.0317 (0.0335) loss_lansim: 0.0255 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.8959 data: 0.0064 max mem: 31630 Epoch: [39] [3160/5278] eta: 1:33:36 lr: 7.944056733400361e-07 loss: 0.0318 (0.0338) loss_seg: 0.0316 (0.0335) loss_lansim: 0.0261 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.8997 data: 0.0065 max mem: 31630 Epoch: [39] [3170/5278] eta: 1:33:12 lr: 7.910276182526156e-07 loss: 0.0322 (0.0338) loss_seg: 0.0319 (0.0335) loss_lansim: 0.0260 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.9021 data: 0.0065 max mem: 31630 Epoch: [39] [3180/5278] eta: 1:32:47 lr: 7.876479595248627e-07 loss: 0.0321 (0.0338) loss_seg: 0.0319 (0.0335) loss_lansim: 0.0255 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.9009 data: 0.0065 max mem: 31630 Epoch: [39] [3190/5278] eta: 1:32:22 lr: 7.842666887426778e-07 loss: 0.0321 (0.0338) loss_seg: 0.0319 (0.0335) loss_lansim: 0.0254 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.9000 data: 0.0065 max mem: 31630 Epoch: [39] [3200/5278] eta: 1:31:57 lr: 7.808837974072667e-07 loss: 0.0319 (0.0338) loss_seg: 0.0317 (0.0335) loss_lansim: 0.0255 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.9013 data: 0.0064 max mem: 31630 Epoch: [39] [3210/5278] eta: 1:31:32 lr: 7.774992769338927e-07 loss: 0.0321 (0.0338) loss_seg: 0.0319 (0.0335) loss_lansim: 0.0250 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.9022 data: 0.0065 max mem: 31630 Epoch: [39] [3220/5278] eta: 1:31:07 lr: 7.741131186505548e-07 loss: 0.0332 (0.0338) loss_seg: 0.0329 (0.0335) loss_lansim: 0.0254 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.9034 data: 0.0064 max mem: 31630 Epoch: [39] [3230/5278] eta: 1:30:42 lr: 7.707253137967211e-07 loss: 0.0333 (0.0338) loss_seg: 0.0330 (0.0335) loss_lansim: 0.0247 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.9051 data: 0.0063 max mem: 31630 Epoch: [39] [3240/5278] eta: 1:30:17 lr: 7.673358535219546e-07 loss: 0.0342 (0.0338) loss_seg: 0.0340 (0.0335) loss_lansim: 0.0254 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.9087 data: 0.0062 max mem: 31630 Epoch: [39] [3250/5278] eta: 1:29:52 lr: 7.639447288845535e-07 loss: 0.0348 (0.0338) loss_seg: 0.0346 (0.0336) loss_lansim: 0.0254 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.9102 data: 0.0062 max mem: 31630 Epoch: [39] [3260/5278] eta: 1:29:27 lr: 7.605519308501625e-07 loss: 0.0341 (0.0338) loss_seg: 0.0338 (0.0335) loss_lansim: 0.0250 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.9109 data: 0.0062 max mem: 31630 Epoch: [39] [3270/5278] eta: 1:29:02 lr: 7.571574502903171e-07 loss: 0.0338 (0.0338) loss_seg: 0.0335 (0.0335) loss_lansim: 0.0249 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.9109 data: 0.0062 max mem: 31630 Epoch: [39] [3280/5278] eta: 1:28:37 lr: 7.53761277981037e-07 loss: 0.0341 (0.0338) loss_seg: 0.0338 (0.0336) loss_lansim: 0.0250 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.9139 data: 0.0062 max mem: 31630 Epoch: [39] [3290/5278] eta: 1:28:12 lr: 7.503634046013109e-07 loss: 0.0338 (0.0338) loss_seg: 0.0335 (0.0336) loss_lansim: 0.0250 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.9178 data: 0.0063 max mem: 31630 Epoch: [39] [3300/5278] eta: 1:27:47 lr: 7.46963820731599e-07 loss: 0.0334 (0.0338) loss_seg: 0.0331 (0.0336) loss_lansim: 0.0249 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.9217 data: 0.0064 max mem: 31630 Epoch: [39] [3310/5278] eta: 1:27:22 lr: 7.435625168522547e-07 loss: 0.0334 (0.0338) loss_seg: 0.0331 (0.0336) loss_lansim: 0.0249 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.9266 data: 0.0065 max mem: 31630 Epoch: [39] [3320/5278] eta: 1:26:58 lr: 7.401594833419956e-07 loss: 0.0337 (0.0338) loss_seg: 0.0334 (0.0336) loss_lansim: 0.0247 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.9314 data: 0.0067 max mem: 31630 Epoch: [39] [3330/5278] eta: 1:26:33 lr: 7.367547104762596e-07 loss: 0.0332 (0.0338) loss_seg: 0.0329 (0.0336) loss_lansim: 0.0245 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.9365 data: 0.0068 max mem: 31630 Epoch: [39] [3340/5278] eta: 1:26:08 lr: 7.333481884255779e-07 loss: 0.0322 (0.0338) loss_seg: 0.0319 (0.0336) loss_lansim: 0.0246 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.9408 data: 0.0068 max mem: 31630 Epoch: [39] [3350/5278] eta: 1:25:43 lr: 7.299399072538613e-07 loss: 0.0322 (0.0338) loss_seg: 0.0319 (0.0336) loss_lansim: 0.0246 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.9447 data: 0.0069 max mem: 31630 Epoch: [39] [3360/5278] eta: 1:25:18 lr: 7.26529856916735e-07 loss: 0.0327 (0.0338) loss_seg: 0.0325 (0.0336) loss_lansim: 0.0246 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.9462 data: 0.0069 max mem: 31630 Epoch: [39] [3370/5278] eta: 1:24:52 lr: 7.231180272597533e-07 loss: 0.0325 (0.0338) loss_seg: 0.0322 (0.0336) loss_lansim: 0.0248 (0.0259) loss_contra: 0.0001 (0.0008) time: 2.9487 data: 0.0070 max mem: 31630 Epoch: [39] [3380/5278] eta: 1:24:27 lr: 7.197044080166263e-07 loss: 0.0327 (0.0339) loss_seg: 0.0325 (0.0336) loss_lansim: 0.0247 (0.0258) loss_contra: 0.0001 (0.0008) time: 2.9507 data: 0.0069 max mem: 31630 Epoch: [39] [3390/5278] eta: 1:24:02 lr: 7.162889888073593e-07 loss: 0.0322 (0.0339) loss_seg: 0.0319 (0.0336) loss_lansim: 0.0248 (0.0258) loss_contra: 0.0001 (0.0008) time: 2.9535 data: 0.0069 max mem: 31630 Epoch: [39] [3400/5278] eta: 1:23:37 lr: 7.128717591364334e-07 loss: 0.0322 (0.0339) loss_seg: 0.0319 (0.0336) loss_lansim: 0.0251 (0.0258) loss_contra: 0.0001 (0.0009) time: 2.9556 data: 0.0068 max mem: 31630 Epoch: [39] [3410/5278] eta: 1:23:12 lr: 7.094527083908639e-07 loss: 0.0318 (0.0339) loss_seg: 0.0316 (0.0336) loss_lansim: 0.0251 (0.0258) loss_contra: 0.0001 (0.0008) time: 2.9550 data: 0.0067 max mem: 31630 Epoch: [39] [3420/5278] eta: 1:22:47 lr: 7.060318258382657e-07 loss: 0.0317 (0.0339) loss_seg: 0.0314 (0.0336) loss_lansim: 0.0254 (0.0258) loss_contra: 0.0001 (0.0008) time: 2.9550 data: 0.0065 max mem: 31630 Epoch: [39] [3430/5278] eta: 1:22:22 lr: 7.026091006248272e-07 loss: 0.0324 (0.0339) loss_seg: 0.0321 (0.0336) loss_lansim: 0.0255 (0.0258) loss_contra: 0.0001 (0.0008) time: 2.9556 data: 0.0064 max mem: 31630 Epoch: [39] [3440/5278] eta: 1:21:56 lr: 6.991845217733207e-07 loss: 0.0335 (0.0339) loss_seg: 0.0332 (0.0336) loss_lansim: 0.0254 (0.0258) loss_contra: 0.0001 (0.0008) time: 2.9565 data: 0.0063 max mem: 31630 Epoch: [39] [3450/5278] eta: 1:21:31 lr: 6.957580781809857e-07 loss: 0.0331 (0.0339) loss_seg: 0.0328 (0.0336) loss_lansim: 0.0254 (0.0258) loss_contra: 0.0001 (0.0009) time: 2.9568 data: 0.0062 max mem: 31630 Epoch: [39] [3460/5278] eta: 1:21:06 lr: 6.923297586174155e-07 loss: 0.0324 (0.0339) loss_seg: 0.0321 (0.0336) loss_lansim: 0.0253 (0.0258) loss_contra: 0.0001 (0.0009) time: 2.9580 data: 0.0062 max mem: 31630 Epoch: [39] [3470/5278] eta: 1:20:41 lr: 6.888995517223455e-07 loss: 0.0324 (0.0339) loss_seg: 0.0321 (0.0336) loss_lansim: 0.0250 (0.0258) loss_contra: 0.0001 (0.0009) time: 2.9597 data: 0.0062 max mem: 31630 Epoch: [39] [3480/5278] eta: 1:20:15 lr: 6.854674460034744e-07 loss: 0.0313 (0.0338) loss_seg: 0.0310 (0.0336) loss_lansim: 0.0250 (0.0258) loss_contra: 0.0001 (0.0009) time: 2.9591 data: 0.0061 max mem: 31630 Epoch: [39] [3490/5278] eta: 1:19:50 lr: 6.820334298341522e-07 loss: 0.0316 (0.0338) loss_seg: 0.0314 (0.0336) loss_lansim: 0.0249 (0.0258) loss_contra: 0.0001 (0.0009) time: 2.9586 data: 0.0060 max mem: 31630 Epoch: [39] [3500/5278] eta: 1:19:25 lr: 6.78597491451058e-07 loss: 0.0320 (0.0338) loss_seg: 0.0318 (0.0336) loss_lansim: 0.0249 (0.0258) loss_contra: 0.0001 (0.0009) time: 2.9586 data: 0.0060 max mem: 31630 Epoch: [39] [3510/5278] eta: 1:18:59 lr: 6.751596189518221e-07 loss: 0.0322 (0.0338) loss_seg: 0.0320 (0.0336) loss_lansim: 0.0249 (0.0258) loss_contra: 0.0001 (0.0009) time: 2.9585 data: 0.0059 max mem: 31630 Epoch: [39] [3520/5278] eta: 1:18:34 lr: 6.717198002925544e-07 loss: 0.0316 (0.0338) loss_seg: 0.0314 (0.0336) loss_lansim: 0.0247 (0.0258) loss_contra: 0.0001 (0.0009) time: 2.9589 data: 0.0060 max mem: 31630 Epoch: [39] [3530/5278] eta: 1:18:08 lr: 6.682780232853949e-07 loss: 0.0316 (0.0338) loss_seg: 0.0313 (0.0336) loss_lansim: 0.0248 (0.0258) loss_contra: 0.0001 (0.0009) time: 2.9583 data: 0.0060 max mem: 31630 Epoch: [39] [3540/5278] eta: 1:17:43 lr: 6.648342755959256e-07 loss: 0.0314 (0.0338) loss_seg: 0.0312 (0.0336) loss_lansim: 0.0248 (0.0258) loss_contra: 0.0001 (0.0009) time: 2.9561 data: 0.0061 max mem: 31630 Epoch: [39] [3550/5278] eta: 1:17:17 lr: 6.613885447405705e-07 loss: 0.0316 (0.0338) loss_seg: 0.0313 (0.0336) loss_lansim: 0.0248 (0.0258) loss_contra: 0.0001 (0.0009) time: 2.9543 data: 0.0061 max mem: 31630 Epoch: [39] [3560/5278] eta: 1:16:52 lr: 6.579408180838851e-07 loss: 0.0316 (0.0338) loss_seg: 0.0313 (0.0336) loss_lansim: 0.0248 (0.0258) loss_contra: 0.0001 (0.0009) time: 2.9536 data: 0.0061 max mem: 31630 Epoch: [39] [3570/5278] eta: 1:16:26 lr: 6.54491082835862e-07 loss: 0.0314 (0.0338) loss_seg: 0.0312 (0.0336) loss_lansim: 0.0248 (0.0258) loss_contra: 0.0001 (0.0009) time: 2.9539 data: 0.0061 max mem: 31630 Epoch: [39] [3580/5278] eta: 1:16:01 lr: 6.510393260490904e-07 loss: 0.0320 (0.0338) loss_seg: 0.0317 (0.0336) loss_lansim: 0.0254 (0.0258) loss_contra: 0.0001 (0.0009) time: 2.9557 data: 0.0060 max mem: 31630 Epoch: [39] [3590/5278] eta: 1:15:35 lr: 6.475855346158966e-07 loss: 0.0320 (0.0338) loss_seg: 0.0318 (0.0336) loss_lansim: 0.0256 (0.0258) loss_contra: 0.0001 (0.0009) time: 2.9561 data: 0.0061 max mem: 31630 Epoch: [39] [3600/5278] eta: 1:15:10 lr: 6.441296952653652e-07 loss: 0.0324 (0.0338) loss_seg: 0.0321 (0.0336) loss_lansim: 0.0257 (0.0258) loss_contra: 0.0001 (0.0009) time: 2.9624 data: 0.0061 max mem: 31630 Epoch: [39] [3610/5278] eta: 1:14:46 lr: 6.406717945603697e-07 loss: 0.0330 (0.0338) loss_seg: 0.0327 (0.0336) loss_lansim: 0.0255 (0.0258) loss_contra: 0.0001 (0.0009) time: 3.0069 data: 0.0063 max mem: 31630 Epoch: [39] [3620/5278] eta: 1:14:25 lr: 6.372118188944476e-07 loss: 0.0334 (0.0339) loss_seg: 0.0331 (0.0336) loss_lansim: 0.0257 (0.0258) loss_contra: 0.0001 (0.0009) time: 3.1094 data: 0.0063 max mem: 31630 Epoch: [39] [3630/5278] eta: 1:14:04 lr: 6.337497544886478e-07 loss: 0.0334 (0.0338) loss_seg: 0.0331 (0.0336) loss_lansim: 0.0259 (0.0258) loss_contra: 0.0001 (0.0009) time: 3.2147 data: 0.0065 max mem: 31630 Epoch: [39] [3640/5278] eta: 1:13:43 lr: 6.302855873882505e-07 loss: 0.0334 (0.0338) loss_seg: 0.0331 (0.0336) loss_lansim: 0.0255 (0.0258) loss_contra: 0.0001 (0.0009) time: 3.3266 data: 0.0066 max mem: 31630 Epoch: [39] [3650/5278] eta: 1:13:22 lr: 6.268193034594864e-07 loss: 0.0325 (0.0338) loss_seg: 0.0321 (0.0336) loss_lansim: 0.0254 (0.0258) loss_contra: 0.0001 (0.0009) time: 3.4280 data: 0.0068 max mem: 31630 Epoch: [39] [3660/5278] eta: 1:13:01 lr: 6.233508883860911e-07 loss: 0.0325 (0.0338) loss_seg: 0.0321 (0.0336) loss_lansim: 0.0256 (0.0258) loss_contra: 0.0001 (0.0009) time: 3.5459 data: 0.0069 max mem: 31630 Epoch: [39] [3670/5278] eta: 1:12:40 lr: 6.198803276658223e-07 loss: 0.0334 (0.0338) loss_seg: 0.0331 (0.0336) loss_lansim: 0.0257 (0.0258) loss_contra: 0.0001 (0.0009) time: 3.6624 data: 0.0071 max mem: 31630 Epoch: [39] [3680/5278] eta: 1:12:19 lr: 6.164076066068374e-07 loss: 0.0335 (0.0338) loss_seg: 0.0332 (0.0336) loss_lansim: 0.0255 (0.0258) loss_contra: 0.0001 (0.0009) time: 3.7786 data: 0.0073 max mem: 31630 Epoch: [39] [3690/5278] eta: 1:11:58 lr: 6.12932710324062e-07 loss: 0.0346 (0.0339) loss_seg: 0.0343 (0.0336) loss_lansim: 0.0251 (0.0258) loss_contra: 0.0001 (0.0009) time: 3.8933 data: 0.0075 max mem: 31630 Epoch: [39] [3700/5278] eta: 1:11:37 lr: 6.094556237353797e-07 loss: 0.0328 (0.0338) loss_seg: 0.0325 (0.0336) loss_lansim: 0.0248 (0.0258) loss_contra: 0.0001 (0.0009) time: 4.0030 data: 0.0077 max mem: 31630 Epoch: [39] [3710/5278] eta: 1:11:16 lr: 6.05976331557776e-07 loss: 0.0336 (0.0339) loss_seg: 0.0334 (0.0336) loss_lansim: 0.0247 (0.0258) loss_contra: 0.0001 (0.0009) time: 4.0750 data: 0.0078 max mem: 31630 Epoch: [39] [3720/5278] eta: 1:10:54 lr: 6.024948183033276e-07 loss: 0.0329 (0.0339) loss_seg: 0.0327 (0.0336) loss_lansim: 0.0247 (0.0258) loss_contra: 0.0001 (0.0009) time: 4.0890 data: 0.0079 max mem: 31630 Epoch: [39] [3730/5278] eta: 1:10:33 lr: 5.990110682751719e-07 loss: 0.0338 (0.0339) loss_seg: 0.0336 (0.0336) loss_lansim: 0.0247 (0.0258) loss_contra: 0.0001 (0.0009) time: 4.1012 data: 0.0078 max mem: 31630 Epoch: [39] [3740/5278] eta: 1:10:11 lr: 5.955250655632853e-07 loss: 0.0329 (0.0339) loss_seg: 0.0327 (0.0336) loss_lansim: 0.0251 (0.0258) loss_contra: 0.0001 (0.0009) time: 4.1049 data: 0.0078 max mem: 31630 Epoch: [39] [3750/5278] eta: 1:09:49 lr: 5.920367940401904e-07 loss: 0.0345 (0.0339) loss_seg: 0.0343 (0.0336) loss_lansim: 0.0248 (0.0258) loss_contra: 0.0001 (0.0009) time: 4.1219 data: 0.0080 max mem: 31630 Epoch: [39] [3760/5278] eta: 1:09:27 lr: 5.885462373565486e-07 loss: 0.0346 (0.0339) loss_seg: 0.0343 (0.0336) loss_lansim: 0.0247 (0.0258) loss_contra: 0.0000 (0.0009) time: 4.1149 data: 0.0079 max mem: 31630 Epoch: [39] [3770/5278] eta: 1:09:05 lr: 5.850533789365913e-07 loss: 0.0334 (0.0339) loss_seg: 0.0331 (0.0336) loss_lansim: 0.0247 (0.0258) loss_contra: 0.0001 (0.0009) time: 4.1110 data: 0.0080 max mem: 31630 Epoch: [39] [3780/5278] eta: 1:08:43 lr: 5.815582019735101e-07 loss: 0.0334 (0.0338) loss_seg: 0.0331 (0.0336) loss_lansim: 0.0245 (0.0258) loss_contra: 0.0001 (0.0009) time: 4.1089 data: 0.0081 max mem: 31630 Epoch: [39] [3790/5278] eta: 1:08:21 lr: 5.780606894246378e-07 loss: 0.0324 (0.0338) loss_seg: 0.0322 (0.0336) loss_lansim: 0.0248 (0.0258) loss_contra: 0.0001 (0.0009) time: 4.1076 data: 0.0082 max mem: 31630 Epoch: [39] [3800/5278] eta: 1:07:58 lr: 5.745608240065456e-07 loss: 0.0334 (0.0339) loss_seg: 0.0331 (0.0336) loss_lansim: 0.0251 (0.0258) loss_contra: 0.0001 (0.0009) time: 4.1068 data: 0.0083 max mem: 31630 Epoch: [39] [3810/5278] eta: 1:07:36 lr: 5.710585881899555e-07 loss: 0.0322 (0.0338) loss_seg: 0.0319 (0.0336) loss_lansim: 0.0252 (0.0258) loss_contra: 0.0001 (0.0009) time: 4.1033 data: 0.0084 max mem: 31630 Epoch: [39] [3820/5278] eta: 1:07:14 lr: 5.675539641945929e-07 loss: 0.0315 (0.0338) loss_seg: 0.0312 (0.0336) loss_lansim: 0.0252 (0.0258) loss_contra: 0.0001 (0.0009) time: 4.1047 data: 0.0086 max mem: 31630 Epoch: [39] [3830/5278] eta: 1:06:51 lr: 5.640469339838104e-07 loss: 0.0310 (0.0338) loss_seg: 0.0308 (0.0336) loss_lansim: 0.0250 (0.0258) loss_contra: 0.0001 (0.0009) time: 4.1045 data: 0.0087 max mem: 31630 Epoch: [39] [3840/5278] eta: 1:06:28 lr: 5.605374792591103e-07 loss: 0.0313 (0.0338) loss_seg: 0.0310 (0.0336) loss_lansim: 0.0247 (0.0258) loss_contra: 0.0001 (0.0009) time: 4.1065 data: 0.0089 max mem: 31630 Epoch: [39] [3850/5278] eta: 1:06:06 lr: 5.570255814544608e-07 loss: 0.0313 (0.0338) loss_seg: 0.0310 (0.0336) loss_lansim: 0.0247 (0.0258) loss_contra: 0.0001 (0.0009) time: 4.1062 data: 0.0088 max mem: 31630 Epoch: [39] [3860/5278] eta: 1:05:43 lr: 5.535112217305313e-07 loss: 0.0308 (0.0338) loss_seg: 0.0306 (0.0336) loss_lansim: 0.0249 (0.0258) loss_contra: 0.0001 (0.0009) time: 4.1114 data: 0.0089 max mem: 31630 Epoch: [39] [3870/5278] eta: 1:05:20 lr: 5.499943809686779e-07 loss: 0.0313 (0.0338) loss_seg: 0.0310 (0.0336) loss_lansim: 0.0247 (0.0258) loss_contra: 0.0000 (0.0009) time: 4.1138 data: 0.0089 max mem: 31630 Epoch: [39] [3880/5278] eta: 1:04:57 lr: 5.464750397648033e-07 loss: 0.0320 (0.0338) loss_seg: 0.0317 (0.0336) loss_lansim: 0.0248 (0.0258) loss_contra: 0.0000 (0.0009) time: 4.1158 data: 0.0090 max mem: 31630 Epoch: [39] [3890/5278] eta: 1:04:34 lr: 5.429531784229877e-07 loss: 0.0323 (0.0338) loss_seg: 0.0321 (0.0336) loss_lansim: 0.0246 (0.0258) loss_contra: 0.0000 (0.0009) time: 4.1168 data: 0.0090 max mem: 31630 Epoch: [39] [3900/5278] eta: 1:04:10 lr: 5.394287769490127e-07 loss: 0.0327 (0.0338) loss_seg: 0.0324 (0.0336) loss_lansim: 0.0245 (0.0258) loss_contra: 0.0000 (0.0009) time: 4.1143 data: 0.0089 max mem: 31630 Epoch: [39] [3910/5278] eta: 1:03:47 lr: 5.359018150436107e-07 loss: 0.0330 (0.0338) loss_seg: 0.0328 (0.0336) loss_lansim: 0.0242 (0.0258) loss_contra: 0.0000 (0.0009) time: 4.1169 data: 0.0089 max mem: 31630 Epoch: [39] [3920/5278] eta: 1:03:24 lr: 5.323722720955602e-07 loss: 0.0330 (0.0338) loss_seg: 0.0328 (0.0336) loss_lansim: 0.0241 (0.0258) loss_contra: 0.0001 (0.0009) time: 4.1162 data: 0.0089 max mem: 31630 Epoch: [39] [3930/5278] eta: 1:03:00 lr: 5.288401271745239e-07 loss: 0.0338 (0.0338) loss_seg: 0.0335 (0.0336) loss_lansim: 0.0241 (0.0258) loss_contra: 0.0001 (0.0009) time: 4.1152 data: 0.0088 max mem: 31630 Epoch: [39] [3940/5278] eta: 1:02:36 lr: 5.253053590237515e-07 loss: 0.0338 (0.0338) loss_seg: 0.0335 (0.0336) loss_lansim: 0.0242 (0.0258) loss_contra: 0.0001 (0.0009) time: 4.1124 data: 0.0088 max mem: 31630 Epoch: [39] [3950/5278] eta: 1:02:13 lr: 5.217679460524744e-07 loss: 0.0334 (0.0338) loss_seg: 0.0331 (0.0336) loss_lansim: 0.0245 (0.0258) loss_contra: 0.0001 (0.0009) time: 4.1092 data: 0.0088 max mem: 31630 Epoch: [39] [3960/5278] eta: 1:01:49 lr: 5.182278663281168e-07 loss: 0.0334 (0.0338) loss_seg: 0.0331 (0.0336) loss_lansim: 0.0245 (0.0258) loss_contra: 0.0001 (0.0009) time: 4.1114 data: 0.0088 max mem: 31630 Epoch: [39] [3970/5278] eta: 1:01:25 lr: 5.146850975682125e-07 loss: 0.0327 (0.0338) loss_seg: 0.0325 (0.0335) loss_lansim: 0.0245 (0.0258) loss_contra: 0.0001 (0.0009) time: 4.1093 data: 0.0088 max mem: 31630 Epoch: [39] [3980/5278] eta: 1:01:01 lr: 5.111396171321543e-07 loss: 0.0330 (0.0338) loss_seg: 0.0328 (0.0336) loss_lansim: 0.0246 (0.0258) loss_contra: 0.0001 (0.0009) time: 4.1053 data: 0.0087 max mem: 31630 Epoch: [39] [3990/5278] eta: 1:00:37 lr: 5.07591402012595e-07 loss: 0.0323 (0.0338) loss_seg: 0.0321 (0.0336) loss_lansim: 0.0246 (0.0258) loss_contra: 0.0001 (0.0009) time: 4.1051 data: 0.0087 max mem: 31630 Epoch: [39] [4000/5278] eta: 1:00:13 lr: 5.040404288266194e-07 loss: 0.0308 (0.0338) loss_seg: 0.0305 (0.0335) loss_lansim: 0.0248 (0.0258) loss_contra: 0.0001 (0.0009) time: 4.1072 data: 0.0088 max mem: 31630 Epoch: [39] [4010/5278] eta: 0:59:49 lr: 5.004866738066318e-07 loss: 0.0308 (0.0338) loss_seg: 0.0305 (0.0335) loss_lansim: 0.0250 (0.0258) loss_contra: 0.0001 (0.0009) time: 4.1067 data: 0.0087 max mem: 31630 Epoch: [39] [4020/5278] eta: 0:59:24 lr: 4.969301127909052e-07 loss: 0.0314 (0.0338) loss_seg: 0.0311 (0.0335) loss_lansim: 0.0252 (0.0258) loss_contra: 0.0001 (0.0009) time: 4.1017 data: 0.0086 max mem: 31630 Epoch: [39] [4030/5278] eta: 0:59:00 lr: 4.933707212139083e-07 loss: 0.0313 (0.0338) loss_seg: 0.0311 (0.0335) loss_lansim: 0.0252 (0.0258) loss_contra: 0.0001 (0.0009) time: 4.0979 data: 0.0086 max mem: 31630 Epoch: [39] [4040/5278] eta: 0:58:35 lr: 4.898084740962292e-07 loss: 0.0308 (0.0338) loss_seg: 0.0306 (0.0335) loss_lansim: 0.0252 (0.0258) loss_contra: 0.0000 (0.0009) time: 4.0986 data: 0.0086 max mem: 31630 Epoch: [39] [4050/5278] eta: 0:58:11 lr: 4.862433460342146e-07 loss: 0.0311 (0.0338) loss_seg: 0.0308 (0.0335) loss_lansim: 0.0252 (0.0258) loss_contra: 0.0000 (0.0009) time: 4.1020 data: 0.0086 max mem: 31630 Epoch: [39] [4060/5278] eta: 0:57:46 lr: 4.82675311189213e-07 loss: 0.0311 (0.0338) loss_seg: 0.0308 (0.0335) loss_lansim: 0.0253 (0.0258) loss_contra: 0.0000 (0.0009) time: 4.0986 data: 0.0085 max mem: 31630 Epoch: [39] [4070/5278] eta: 0:57:21 lr: 4.79104343276541e-07 loss: 0.0313 (0.0338) loss_seg: 0.0310 (0.0335) loss_lansim: 0.0252 (0.0258) loss_contra: 0.0000 (0.0009) time: 4.0997 data: 0.0085 max mem: 31630 Epoch: [39] [4080/5278] eta: 0:56:57 lr: 4.7553041555398696e-07 loss: 0.0313 (0.0338) loss_seg: 0.0310 (0.0335) loss_lansim: 0.0250 (0.0258) loss_contra: 0.0001 (0.0009) time: 4.1028 data: 0.0085 max mem: 31630 Epoch: [39] [4090/5278] eta: 0:56:32 lr: 4.719535008099743e-07 loss: 0.0315 (0.0338) loss_seg: 0.0312 (0.0335) loss_lansim: 0.0252 (0.0258) loss_contra: 0.0001 (0.0009) time: 4.1005 data: 0.0085 max mem: 31630 Epoch: [39] [4100/5278] eta: 0:56:07 lr: 4.683735713512637e-07 loss: 0.0315 (0.0338) loss_seg: 0.0312 (0.0335) loss_lansim: 0.0252 (0.0258) loss_contra: 0.0001 (0.0009) time: 4.0977 data: 0.0084 max mem: 31630 Epoch: [39] [4110/5278] eta: 0:55:42 lr: 4.647905989903118e-07 loss: 0.0316 (0.0338) loss_seg: 0.0313 (0.0335) loss_lansim: 0.0253 (0.0258) loss_contra: 0.0001 (0.0009) time: 4.0989 data: 0.0083 max mem: 31630 Epoch: [39] [4120/5278] eta: 0:55:16 lr: 4.6120455503210036e-07 loss: 0.0318 (0.0338) loss_seg: 0.0316 (0.0335) loss_lansim: 0.0250 (0.0258) loss_contra: 0.0001 (0.0009) time: 4.1016 data: 0.0083 max mem: 31630 Epoch: [39] [4130/5278] eta: 0:54:51 lr: 4.576154102605497e-07 loss: 0.0316 (0.0338) loss_seg: 0.0313 (0.0335) loss_lansim: 0.0250 (0.0258) loss_contra: 0.0001 (0.0009) time: 4.1020 data: 0.0084 max mem: 31630 Epoch: [39] [4140/5278] eta: 0:54:26 lr: 4.540231349243953e-07 loss: 0.0318 (0.0338) loss_seg: 0.0316 (0.0335) loss_lansim: 0.0250 (0.0258) loss_contra: 0.0001 (0.0009) time: 4.0988 data: 0.0084 max mem: 31630 Epoch: [39] [4150/5278] eta: 0:54:00 lr: 4.5042769872263986e-07 loss: 0.0318 (0.0338) loss_seg: 0.0316 (0.0335) loss_lansim: 0.0250 (0.0258) loss_contra: 0.0001 (0.0009) time: 4.0946 data: 0.0084 max mem: 31630 Epoch: [39] [4160/5278] eta: 0:53:35 lr: 4.4682907078939077e-07 loss: 0.0316 (0.0338) loss_seg: 0.0313 (0.0335) loss_lansim: 0.0250 (0.0258) loss_contra: 0.0001 (0.0009) time: 4.0970 data: 0.0084 max mem: 31630 Epoch: [39] [4170/5278] eta: 0:53:10 lr: 4.4322721967819107e-07 loss: 0.0313 (0.0338) loss_seg: 0.0310 (0.0335) loss_lansim: 0.0252 (0.0258) loss_contra: 0.0001 (0.0009) time: 4.0961 data: 0.0084 max mem: 31630 Epoch: [39] [4180/5278] eta: 0:52:44 lr: 4.3962211334572015e-07 loss: 0.0305 (0.0338) loss_seg: 0.0302 (0.0335) loss_lansim: 0.0253 (0.0258) loss_contra: 0.0001 (0.0009) time: 4.0933 data: 0.0083 max mem: 31630 Epoch: [39] [4190/5278] eta: 0:52:18 lr: 4.3601371913496924e-07 loss: 0.0305 (0.0338) loss_seg: 0.0302 (0.0335) loss_lansim: 0.0252 (0.0258) loss_contra: 0.0001 (0.0009) time: 4.0948 data: 0.0083 max mem: 31630 Epoch: [39] [4200/5278] eta: 0:51:53 lr: 4.3240200375769664e-07 loss: 0.0315 (0.0338) loss_seg: 0.0313 (0.0335) loss_lansim: 0.0250 (0.0258) loss_contra: 0.0001 (0.0009) time: 4.0964 data: 0.0083 max mem: 31630 Epoch: [39] [4210/5278] eta: 0:51:27 lr: 4.2878693327626595e-07 loss: 0.0312 (0.0338) loss_seg: 0.0309 (0.0335) loss_lansim: 0.0251 (0.0258) loss_contra: 0.0001 (0.0009) time: 4.0932 data: 0.0082 max mem: 31630 Epoch: [39] [4220/5278] eta: 0:51:01 lr: 4.2516847308473485e-07 loss: 0.0305 (0.0338) loss_seg: 0.0302 (0.0335) loss_lansim: 0.0254 (0.0258) loss_contra: 0.0001 (0.0009) time: 4.0923 data: 0.0083 max mem: 31630 Epoch: [39] [4230/5278] eta: 0:50:35 lr: 4.215465878892965e-07 loss: 0.0315 (0.0338) loss_seg: 0.0313 (0.0335) loss_lansim: 0.0253 (0.0258) loss_contra: 0.0001 (0.0009) time: 4.0936 data: 0.0082 max mem: 31630 Epoch: [39] [4240/5278] eta: 0:50:09 lr: 4.179212416878668e-07 loss: 0.0313 (0.0338) loss_seg: 0.0310 (0.0335) loss_lansim: 0.0252 (0.0258) loss_contra: 0.0001 (0.0009) time: 4.0954 data: 0.0082 max mem: 31630 Epoch: [39] [4250/5278] eta: 0:49:43 lr: 4.142923977489088e-07 loss: 0.0307 (0.0338) loss_seg: 0.0304 (0.0335) loss_lansim: 0.0252 (0.0258) loss_contra: 0.0001 (0.0009) time: 4.0978 data: 0.0082 max mem: 31630 Epoch: [39] [4260/5278] eta: 0:49:17 lr: 4.1066001858941043e-07 loss: 0.0313 (0.0338) loss_seg: 0.0310 (0.0335) loss_lansim: 0.0251 (0.0258) loss_contra: 0.0001 (0.0009) time: 4.0974 data: 0.0082 max mem: 31630 Epoch: [39] [4270/5278] eta: 0:48:50 lr: 4.0702406595193144e-07 loss: 0.0317 (0.0338) loss_seg: 0.0314 (0.0335) loss_lansim: 0.0251 (0.0258) loss_contra: 0.0001 (0.0009) time: 4.1005 data: 0.0082 max mem: 31630 Epoch: [39] [4280/5278] eta: 0:48:24 lr: 4.0338450078080134e-07 loss: 0.0321 (0.0338) loss_seg: 0.0318 (0.0335) loss_lansim: 0.0253 (0.0258) loss_contra: 0.0001 (0.0009) time: 4.1055 data: 0.0083 max mem: 31630 Epoch: [39] [4290/5278] eta: 0:47:58 lr: 3.997412831972508e-07 loss: 0.0320 (0.0338) loss_seg: 0.0317 (0.0335) loss_lansim: 0.0251 (0.0258) loss_contra: 0.0001 (0.0009) time: 4.1060 data: 0.0084 max mem: 31630 Epoch: [39] [4300/5278] eta: 0:47:31 lr: 3.960943724735623e-07 loss: 0.0320 (0.0338) loss_seg: 0.0317 (0.0335) loss_lansim: 0.0253 (0.0258) loss_contra: 0.0001 (0.0009) time: 4.1069 data: 0.0084 max mem: 31630 Epoch: [39] [4310/5278] eta: 0:47:05 lr: 3.924437270060829e-07 loss: 0.0320 (0.0338) loss_seg: 0.0317 (0.0335) loss_lansim: 0.0251 (0.0258) loss_contra: 0.0001 (0.0009) time: 4.1111 data: 0.0084 max mem: 31630 Epoch: [39] [4320/5278] eta: 0:46:38 lr: 3.8878930428717937e-07 loss: 0.0321 (0.0338) loss_seg: 0.0318 (0.0335) loss_lansim: 0.0250 (0.0257) loss_contra: 0.0001 (0.0009) time: 4.1120 data: 0.0084 max mem: 31630 Epoch: [39] [4330/5278] eta: 0:46:12 lr: 3.8513106087590315e-07 loss: 0.0317 (0.0338) loss_seg: 0.0314 (0.0335) loss_lansim: 0.0250 (0.0257) loss_contra: 0.0001 (0.0009) time: 4.1112 data: 0.0084 max mem: 31630 Epoch: [39] [4340/5278] eta: 0:45:45 lr: 3.814689523674377e-07 loss: 0.0317 (0.0338) loss_seg: 0.0314 (0.0335) loss_lansim: 0.0253 (0.0258) loss_contra: 0.0001 (0.0009) time: 4.1116 data: 0.0083 max mem: 31630 Epoch: [39] [4350/5278] eta: 0:45:18 lr: 3.778029333611552e-07 loss: 0.0316 (0.0338) loss_seg: 0.0314 (0.0335) loss_lansim: 0.0253 (0.0258) loss_contra: 0.0001 (0.0009) time: 4.1115 data: 0.0083 max mem: 31630 Epoch: [39] [4360/5278] eta: 0:44:52 lr: 3.741329574273477e-07 loss: 0.0310 (0.0338) loss_seg: 0.0307 (0.0335) loss_lansim: 0.0252 (0.0257) loss_contra: 0.0001 (0.0009) time: 4.1107 data: 0.0083 max mem: 31630 Epoch: [39] [4370/5278] eta: 0:44:25 lr: 3.704589770723811e-07 loss: 0.0316 (0.0338) loss_seg: 0.0314 (0.0335) loss_lansim: 0.0253 (0.0257) loss_contra: 0.0001 (0.0009) time: 4.1073 data: 0.0084 max mem: 31630 Epoch: [39] [4380/5278] eta: 0:43:58 lr: 3.6678094370232625e-07 loss: 0.0314 (0.0338) loss_seg: 0.0312 (0.0335) loss_lansim: 0.0250 (0.0257) loss_contra: 0.0001 (0.0009) time: 4.1018 data: 0.0083 max mem: 31630 Epoch: [39] [4390/5278] eta: 0:43:31 lr: 3.630988075848743e-07 loss: 0.0317 (0.0338) loss_seg: 0.0314 (0.0335) loss_lansim: 0.0250 (0.0257) loss_contra: 0.0001 (0.0009) time: 4.1026 data: 0.0084 max mem: 31630 Epoch: [39] [4400/5278] eta: 0:43:04 lr: 3.594125178095781e-07 loss: 0.0314 (0.0338) loss_seg: 0.0312 (0.0335) loss_lansim: 0.0250 (0.0257) loss_contra: 0.0001 (0.0009) time: 4.1039 data: 0.0084 max mem: 31630 Epoch: [39] [4410/5278] eta: 0:42:36 lr: 3.557220222461447e-07 loss: 0.0314 (0.0338) loss_seg: 0.0312 (0.0335) loss_lansim: 0.0250 (0.0257) loss_contra: 0.0001 (0.0009) time: 4.1016 data: 0.0083 max mem: 31630 Epoch: [39] [4420/5278] eta: 0:42:09 lr: 3.520272675008083e-07 loss: 0.0307 (0.0338) loss_seg: 0.0305 (0.0335) loss_lansim: 0.0250 (0.0257) loss_contra: 0.0001 (0.0009) time: 4.1008 data: 0.0084 max mem: 31630 Epoch: [39] [4430/5278] eta: 0:41:40 lr: 3.4832819887056116e-07 loss: 0.0308 (0.0338) loss_seg: 0.0306 (0.0335) loss_lansim: 0.0250 (0.0257) loss_contra: 0.0001 (0.0009) time: 4.0270 data: 0.0081 max mem: 31630 Epoch: [39] [4440/5278] eta: 0:41:12 lr: 3.446247602952563e-07 loss: 0.0309 (0.0338) loss_seg: 0.0306 (0.0335) loss_lansim: 0.0249 (0.0257) loss_contra: 0.0001 (0.0009) time: 3.9711 data: 0.0080 max mem: 31630 Epoch: [39] [4450/5278] eta: 0:40:45 lr: 3.409168943072723e-07 loss: 0.0320 (0.0338) loss_seg: 0.0317 (0.0335) loss_lansim: 0.0248 (0.0257) loss_contra: 0.0001 (0.0009) time: 3.9745 data: 0.0079 max mem: 31630 Epoch: [39] [4460/5278] eta: 0:40:17 lr: 3.372045419787357e-07 loss: 0.0328 (0.0338) loss_seg: 0.0325 (0.0335) loss_lansim: 0.0248 (0.0257) loss_contra: 0.0001 (0.0009) time: 3.9774 data: 0.0078 max mem: 31630 Epoch: [39] [4470/5278] eta: 0:39:50 lr: 3.33487642866039e-07 loss: 0.0315 (0.0338) loss_seg: 0.0312 (0.0335) loss_lansim: 0.0248 (0.0257) loss_contra: 0.0001 (0.0009) time: 3.9797 data: 0.0078 max mem: 31630 Epoch: [39] [4480/5278] eta: 0:39:22 lr: 3.2976613495162693e-07 loss: 0.0319 (0.0338) loss_seg: 0.0317 (0.0335) loss_lansim: 0.0248 (0.0257) loss_contra: 0.0001 (0.0009) time: 3.9833 data: 0.0076 max mem: 31630 Epoch: [39] [4490/5278] eta: 0:38:55 lr: 3.260399545826958e-07 loss: 0.0319 (0.0338) loss_seg: 0.0317 (0.0335) loss_lansim: 0.0248 (0.0257) loss_contra: 0.0001 (0.0009) time: 3.9855 data: 0.0076 max mem: 31630 Epoch: [39] [4500/5278] eta: 0:38:27 lr: 3.2230903640674255e-07 loss: 0.0314 (0.0337) loss_seg: 0.0312 (0.0335) loss_lansim: 0.0248 (0.0257) loss_contra: 0.0001 (0.0009) time: 3.9861 data: 0.0076 max mem: 31630 Epoch: [39] [4510/5278] eta: 0:38:00 lr: 3.185733133037099e-07 loss: 0.0319 (0.0338) loss_seg: 0.0317 (0.0335) loss_lansim: 0.0247 (0.0257) loss_contra: 0.0001 (0.0009) time: 3.9870 data: 0.0076 max mem: 31630 Epoch: [39] [4520/5278] eta: 0:37:32 lr: 3.148327163144565e-07 loss: 0.0322 (0.0337) loss_seg: 0.0318 (0.0335) loss_lansim: 0.0246 (0.0257) loss_contra: 0.0001 (0.0009) time: 3.9873 data: 0.0077 max mem: 31630 Epoch: [39] [4530/5278] eta: 0:37:04 lr: 3.1108717456544037e-07 loss: 0.0322 (0.0337) loss_seg: 0.0318 (0.0335) loss_lansim: 0.0245 (0.0257) loss_contra: 0.0001 (0.0009) time: 4.0638 data: 0.0078 max mem: 31630 Epoch: [39] [4540/5278] eta: 0:36:36 lr: 3.0733661518917375e-07 loss: 0.0322 (0.0337) loss_seg: 0.0318 (0.0335) loss_lansim: 0.0245 (0.0257) loss_contra: 0.0001 (0.0009) time: 4.1209 data: 0.0080 max mem: 31630 Epoch: [39] [4550/5278] eta: 0:36:08 lr: 3.035809632403042e-07 loss: 0.0325 (0.0338) loss_seg: 0.0322 (0.0335) loss_lansim: 0.0245 (0.0257) loss_contra: 0.0001 (0.0009) time: 4.1169 data: 0.0080 max mem: 31630 Epoch: [39] [4560/5278] eta: 0:35:40 lr: 2.9982014160690544e-07 loss: 0.0319 (0.0338) loss_seg: 0.0317 (0.0335) loss_lansim: 0.0245 (0.0257) loss_contra: 0.0001 (0.0009) time: 4.1120 data: 0.0081 max mem: 31630 Epoch: [39] [4570/5278] eta: 0:35:12 lr: 2.960540709167804e-07 loss: 0.0322 (0.0338) loss_seg: 0.0318 (0.0335) loss_lansim: 0.0244 (0.0257) loss_contra: 0.0001 (0.0009) time: 4.1114 data: 0.0081 max mem: 31630 Epoch: [39] [4580/5278] eta: 0:34:44 lr: 2.9228266943823586e-07 loss: 0.0318 (0.0338) loss_seg: 0.0315 (0.0335) loss_lansim: 0.0246 (0.0257) loss_contra: 0.0001 (0.0009) time: 4.1109 data: 0.0081 max mem: 31630 Epoch: [39] [4590/5278] eta: 0:34:16 lr: 2.885058529750697e-07 loss: 0.0318 (0.0338) loss_seg: 0.0315 (0.0335) loss_lansim: 0.0245 (0.0257) loss_contra: 0.0001 (0.0009) time: 4.1083 data: 0.0081 max mem: 31630 Epoch: [39] [4600/5278] eta: 0:33:47 lr: 2.8472353475523107e-07 loss: 0.0327 (0.0338) loss_seg: 0.0324 (0.0335) loss_lansim: 0.0247 (0.0257) loss_contra: 0.0001 (0.0009) time: 4.1041 data: 0.0081 max mem: 31630 Epoch: [39] [4610/5278] eta: 0:33:19 lr: 2.8093562531282243e-07 loss: 0.0319 (0.0338) loss_seg: 0.0317 (0.0335) loss_lansim: 0.0248 (0.0257) loss_contra: 0.0001 (0.0009) time: 4.1041 data: 0.0081 max mem: 31630 Epoch: [39] [4620/5278] eta: 0:32:51 lr: 2.7714203236275003e-07 loss: 0.0324 (0.0338) loss_seg: 0.0321 (0.0335) loss_lansim: 0.0247 (0.0257) loss_contra: 0.0001 (0.0009) time: 4.1048 data: 0.0081 max mem: 31630 Epoch: [39] [4630/5278] eta: 0:32:22 lr: 2.7334266066759955e-07 loss: 0.0327 (0.0338) loss_seg: 0.0324 (0.0335) loss_lansim: 0.0247 (0.0257) loss_contra: 0.0001 (0.0009) time: 4.1025 data: 0.0082 max mem: 31630 Epoch: [39] [4640/5278] eta: 0:31:54 lr: 2.6953741189601326e-07 loss: 0.0331 (0.0338) loss_seg: 0.0329 (0.0335) loss_lansim: 0.0247 (0.0257) loss_contra: 0.0001 (0.0009) time: 4.1000 data: 0.0082 max mem: 31630 Epoch: [39] [4650/5278] eta: 0:31:25 lr: 2.6572618447203443e-07 loss: 0.0329 (0.0338) loss_seg: 0.0327 (0.0335) loss_lansim: 0.0246 (0.0257) loss_contra: 0.0000 (0.0009) time: 4.0986 data: 0.0082 max mem: 31630 Epoch: [39] [4660/5278] eta: 0:30:57 lr: 2.619088734144974e-07 loss: 0.0331 (0.0338) loss_seg: 0.0329 (0.0335) loss_lansim: 0.0248 (0.0257) loss_contra: 0.0000 (0.0009) time: 4.1006 data: 0.0082 max mem: 31630 Epoch: [39] [4670/5278] eta: 0:30:28 lr: 2.580853701657906e-07 loss: 0.0331 (0.0338) loss_seg: 0.0329 (0.0335) loss_lansim: 0.0246 (0.0257) loss_contra: 0.0000 (0.0009) time: 4.1008 data: 0.0083 max mem: 31630 Epoch: [39] [4680/5278] eta: 0:29:59 lr: 2.542555624089859e-07 loss: 0.0331 (0.0338) loss_seg: 0.0329 (0.0335) loss_lansim: 0.0245 (0.0257) loss_contra: 0.0000 (0.0009) time: 4.0977 data: 0.0083 max mem: 31630 Epoch: [39] [4690/5278] eta: 0:29:31 lr: 2.504193338724878e-07 loss: 0.0326 (0.0338) loss_seg: 0.0323 (0.0335) loss_lansim: 0.0245 (0.0257) loss_contra: 0.0000 (0.0009) time: 4.0981 data: 0.0083 max mem: 31630 Epoch: [39] [4700/5278] eta: 0:29:02 lr: 2.4657656412093063e-07 loss: 0.0326 (0.0338) loss_seg: 0.0324 (0.0335) loss_lansim: 0.0245 (0.0257) loss_contra: 0.0000 (0.0009) time: 4.1017 data: 0.0083 max mem: 31630 Epoch: [39] [4710/5278] eta: 0:28:33 lr: 2.427271283312475e-07 loss: 0.0328 (0.0338) loss_seg: 0.0325 (0.0335) loss_lansim: 0.0244 (0.0257) loss_contra: 0.0001 (0.0009) time: 4.1038 data: 0.0083 max mem: 31630 Epoch: [39] [4720/5278] eta: 0:28:04 lr: 2.3887089705252853e-07 loss: 0.0326 (0.0338) loss_seg: 0.0323 (0.0335) loss_lansim: 0.0244 (0.0257) loss_contra: 0.0001 (0.0009) time: 4.1034 data: 0.0083 max mem: 31630 Epoch: [39] [4730/5278] eta: 0:27:35 lr: 2.3500773594813612e-07 loss: 0.0308 (0.0338) loss_seg: 0.0306 (0.0335) loss_lansim: 0.0245 (0.0257) loss_contra: 0.0001 (0.0009) time: 4.1043 data: 0.0084 max mem: 31630 Epoch: [39] [4740/5278] eta: 0:27:06 lr: 2.311375055185611e-07 loss: 0.0313 (0.0338) loss_seg: 0.0311 (0.0335) loss_lansim: 0.0247 (0.0257) loss_contra: 0.0001 (0.0009) time: 4.1084 data: 0.0083 max mem: 31630 Epoch: [39] [4750/5278] eta: 0:26:37 lr: 2.2726006080299903e-07 loss: 0.0323 (0.0338) loss_seg: 0.0320 (0.0335) loss_lansim: 0.0247 (0.0257) loss_contra: 0.0001 (0.0009) time: 4.1112 data: 0.0083 max mem: 31630 Epoch: [39] [4760/5278] eta: 0:26:08 lr: 2.2337525105773777e-07 loss: 0.0326 (0.0338) loss_seg: 0.0323 (0.0335) loss_lansim: 0.0247 (0.0257) loss_contra: 0.0001 (0.0009) time: 4.1093 data: 0.0083 max mem: 31630 Epoch: [39] [4770/5278] eta: 0:25:39 lr: 2.1948291940895212e-07 loss: 0.0326 (0.0338) loss_seg: 0.0323 (0.0335) loss_lansim: 0.0247 (0.0257) loss_contra: 0.0001 (0.0009) time: 4.1076 data: 0.0083 max mem: 31630 Epoch: [39] [4780/5278] eta: 0:25:10 lr: 2.1558290247747845e-07 loss: 0.0328 (0.0338) loss_seg: 0.0325 (0.0335) loss_lansim: 0.0249 (0.0257) loss_contra: 0.0001 (0.0009) time: 4.1093 data: 0.0083 max mem: 31630 Epoch: [39] [4790/5278] eta: 0:24:41 lr: 2.1167502997249835e-07 loss: 0.0327 (0.0338) loss_seg: 0.0325 (0.0335) loss_lansim: 0.0249 (0.0257) loss_contra: 0.0001 (0.0009) time: 4.1107 data: 0.0083 max mem: 31630 Epoch: [39] [4800/5278] eta: 0:24:11 lr: 2.0775912425102676e-07 loss: 0.0334 (0.0338) loss_seg: 0.0332 (0.0335) loss_lansim: 0.0249 (0.0257) loss_contra: 0.0001 (0.0009) time: 4.1077 data: 0.0083 max mem: 31630 Epoch: [39] [4810/5278] eta: 0:23:42 lr: 2.0383499983942685e-07 loss: 0.0337 (0.0338) loss_seg: 0.0335 (0.0335) loss_lansim: 0.0252 (0.0257) loss_contra: 0.0001 (0.0009) time: 4.1049 data: 0.0083 max mem: 31630 Epoch: [39] [4820/5278] eta: 0:23:13 lr: 1.9990246291295167e-07 loss: 0.0334 (0.0338) loss_seg: 0.0332 (0.0335) loss_lansim: 0.0256 (0.0257) loss_contra: 0.0001 (0.0009) time: 4.1049 data: 0.0082 max mem: 31630 Epoch: [39] [4830/5278] eta: 0:22:43 lr: 1.9596131072842737e-07 loss: 0.0337 (0.0338) loss_seg: 0.0335 (0.0335) loss_lansim: 0.0252 (0.0257) loss_contra: 0.0001 (0.0009) time: 4.1058 data: 0.0082 max mem: 31630 Epoch: [39] [4840/5278] eta: 0:22:14 lr: 1.920113310048808e-07 loss: 0.0326 (0.0338) loss_seg: 0.0323 (0.0335) loss_lansim: 0.0253 (0.0257) loss_contra: 0.0001 (0.0009) time: 4.1030 data: 0.0081 max mem: 31630 Epoch: [39] [4850/5278] eta: 0:21:44 lr: 1.880523012459092e-07 loss: 0.0323 (0.0338) loss_seg: 0.0320 (0.0335) loss_lansim: 0.0252 (0.0257) loss_contra: 0.0001 (0.0009) time: 4.1005 data: 0.0082 max mem: 31630 Epoch: [39] [4860/5278] eta: 0:21:15 lr: 1.8408398799697684e-07 loss: 0.0316 (0.0338) loss_seg: 0.0313 (0.0335) loss_lansim: 0.0253 (0.0257) loss_contra: 0.0001 (0.0009) time: 4.0942 data: 0.0082 max mem: 31630 Epoch: [39] [4870/5278] eta: 0:20:45 lr: 1.8010614602946996e-07 loss: 0.0315 (0.0338) loss_seg: 0.0313 (0.0335) loss_lansim: 0.0253 (0.0257) loss_contra: 0.0001 (0.0009) time: 4.0927 data: 0.0081 max mem: 31630 Epoch: [39] [4880/5278] eta: 0:20:15 lr: 1.7611851744247586e-07 loss: 0.0315 (0.0338) loss_seg: 0.0313 (0.0335) loss_lansim: 0.0252 (0.0257) loss_contra: 0.0001 (0.0009) time: 4.0922 data: 0.0081 max mem: 31630 Epoch: [39] [4890/5278] eta: 0:19:46 lr: 1.7212083067157788e-07 loss: 0.0315 (0.0338) loss_seg: 0.0313 (0.0335) loss_lansim: 0.0253 (0.0257) loss_contra: 0.0001 (0.0009) time: 4.0891 data: 0.0082 max mem: 31630 Epoch: [39] [4900/5278] eta: 0:19:16 lr: 1.6811279939254694e-07 loss: 0.0312 (0.0338) loss_seg: 0.0310 (0.0335) loss_lansim: 0.0253 (0.0257) loss_contra: 0.0001 (0.0009) time: 4.0899 data: 0.0082 max mem: 31630 Epoch: [39] [4910/5278] eta: 0:18:46 lr: 1.6409412130548286e-07 loss: 0.0315 (0.0338) loss_seg: 0.0313 (0.0335) loss_lansim: 0.0250 (0.0257) loss_contra: 0.0001 (0.0009) time: 4.0876 data: 0.0083 max mem: 31630 Epoch: [39] [4920/5278] eta: 0:18:16 lr: 1.6006447678292216e-07 loss: 0.0316 (0.0338) loss_seg: 0.0313 (0.0335) loss_lansim: 0.0244 (0.0257) loss_contra: 0.0001 (0.0009) time: 4.0873 data: 0.0083 max mem: 31630 Epoch: [39] [4930/5278] eta: 0:17:46 lr: 1.5602352736231583e-07 loss: 0.0312 (0.0338) loss_seg: 0.0310 (0.0335) loss_lansim: 0.0246 (0.0257) loss_contra: 0.0001 (0.0009) time: 4.0903 data: 0.0084 max mem: 31630 Epoch: [39] [4940/5278] eta: 0:17:16 lr: 1.5197091406011333e-07 loss: 0.0318 (0.0338) loss_seg: 0.0316 (0.0335) loss_lansim: 0.0244 (0.0257) loss_contra: 0.0001 (0.0009) time: 4.0941 data: 0.0084 max mem: 31630 Epoch: [39] [4950/5278] eta: 0:16:46 lr: 1.4790625548019113e-07 loss: 0.0318 (0.0338) loss_seg: 0.0316 (0.0335) loss_lansim: 0.0246 (0.0257) loss_contra: 0.0001 (0.0009) time: 4.0961 data: 0.0084 max mem: 31630 Epoch: [39] [4960/5278] eta: 0:16:16 lr: 1.4382914568462987e-07 loss: 0.0320 (0.0338) loss_seg: 0.0317 (0.0335) loss_lansim: 0.0244 (0.0257) loss_contra: 0.0001 (0.0009) time: 4.1034 data: 0.0085 max mem: 31630 Epoch: [39] [4970/5278] eta: 0:15:46 lr: 1.3973915178845845e-07 loss: 0.0322 (0.0338) loss_seg: 0.0319 (0.0335) loss_lansim: 0.0248 (0.0257) loss_contra: 0.0001 (0.0009) time: 4.1066 data: 0.0086 max mem: 31630 Epoch: [39] [4980/5278] eta: 0:15:16 lr: 1.35635811232341e-07 loss: 0.0318 (0.0337) loss_seg: 0.0316 (0.0335) loss_lansim: 0.0248 (0.0257) loss_contra: 0.0001 (0.0009) time: 4.1096 data: 0.0087 max mem: 31630 Epoch: [39] [4990/5278] eta: 0:14:46 lr: 1.315186286779079e-07 loss: 0.0318 (0.0337) loss_seg: 0.0316 (0.0335) loss_lansim: 0.0246 (0.0257) loss_contra: 0.0001 (0.0008) time: 4.1118 data: 0.0086 max mem: 31630 Epoch: [39] [5000/5278] eta: 0:14:16 lr: 1.2738707245827484e-07 loss: 0.0320 (0.0337) loss_seg: 0.0317 (0.0335) loss_lansim: 0.0248 (0.0257) loss_contra: 0.0001 (0.0008) time: 4.1110 data: 0.0086 max mem: 31630 Epoch: [39] [5010/5278] eta: 0:13:45 lr: 1.2324057050178154e-07 loss: 0.0318 (0.0338) loss_seg: 0.0316 (0.0335) loss_lansim: 0.0248 (0.0257) loss_contra: 0.0001 (0.0009) time: 4.1142 data: 0.0086 max mem: 31630 Epoch: [39] [5020/5278] eta: 0:13:15 lr: 1.1907850562788759e-07 loss: 0.0320 (0.0338) loss_seg: 0.0317 (0.0335) loss_lansim: 0.0252 (0.0257) loss_contra: 0.0001 (0.0009) time: 4.0896 data: 0.0084 max mem: 31630 Epoch: [39] [5030/5278] eta: 0:12:44 lr: 1.1490021009038998e-07 loss: 0.0320 (0.0338) loss_seg: 0.0317 (0.0335) loss_lansim: 0.0252 (0.0257) loss_contra: 0.0001 (0.0009) time: 3.9790 data: 0.0082 max mem: 31630 Epoch: [39] [5040/5278] eta: 0:12:13 lr: 1.1070495921179681e-07 loss: 0.0324 (0.0338) loss_seg: 0.0321 (0.0335) loss_lansim: 0.0252 (0.0257) loss_contra: 0.0001 (0.0009) time: 3.8643 data: 0.0079 max mem: 31630 Epoch: [39] [5050/5278] eta: 0:11:42 lr: 1.0649196391273786e-07 loss: 0.0324 (0.0338) loss_seg: 0.0321 (0.0335) loss_lansim: 0.0252 (0.0257) loss_contra: 0.0001 (0.0009) time: 3.7503 data: 0.0077 max mem: 31630 Epoch: [39] [5060/5278] eta: 0:11:12 lr: 1.0226036188705813e-07 loss: 0.0322 (0.0338) loss_seg: 0.0319 (0.0335) loss_lansim: 0.0249 (0.0257) loss_contra: 0.0001 (0.0008) time: 3.6390 data: 0.0074 max mem: 31630 Epoch: [39] [5070/5278] eta: 0:10:41 lr: 9.80092071031431e-08 loss: 0.0324 (0.0338) loss_seg: 0.0321 (0.0335) loss_lansim: 0.0252 (0.0257) loss_contra: 0.0001 (0.0008) time: 3.5268 data: 0.0071 max mem: 31630 Epoch: [39] [5080/5278] eta: 0:10:10 lr: 9.373745721703739e-08 loss: 0.0333 (0.0338) loss_seg: 0.0330 (0.0335) loss_lansim: 0.0252 (0.0257) loss_contra: 0.0001 (0.0008) time: 3.3900 data: 0.0067 max mem: 31630 Epoch: [39] [5090/5278] eta: 0:09:39 lr: 8.944395835435288e-08 loss: 0.0328 (0.0337) loss_seg: 0.0326 (0.0335) loss_lansim: 0.0252 (0.0257) loss_contra: 0.0001 (0.0008) time: 3.2526 data: 0.0064 max mem: 31630 Epoch: [39] [5100/5278] eta: 0:09:08 lr: 8.512742653952876e-08 loss: 0.0314 (0.0337) loss_seg: 0.0312 (0.0335) loss_lansim: 0.0249 (0.0257) loss_contra: 0.0001 (0.0008) time: 3.1181 data: 0.0061 max mem: 31630 Epoch: [39] [5110/5278] eta: 0:08:37 lr: 8.078642480121587e-08 loss: 0.0326 (0.0337) loss_seg: 0.0323 (0.0335) loss_lansim: 0.0249 (0.0257) loss_contra: 0.0001 (0.0008) time: 2.9851 data: 0.0058 max mem: 31630 Epoch: [39] [5120/5278] eta: 0:08:06 lr: 7.641933462507396e-08 loss: 0.0332 (0.0338) loss_seg: 0.0330 (0.0335) loss_lansim: 0.0249 (0.0257) loss_contra: 0.0001 (0.0008) time: 2.8732 data: 0.0055 max mem: 31630 Epoch: [39] [5130/5278] eta: 0:07:35 lr: 7.202431990578926e-08 loss: 0.0328 (0.0338) loss_seg: 0.0326 (0.0335) loss_lansim: 0.0248 (0.0257) loss_contra: 0.0001 (0.0008) time: 2.8429 data: 0.0055 max mem: 31630 Epoch: [39] [5140/5278] eta: 0:07:04 lr: 6.759928077681818e-08 loss: 0.0326 (0.0338) loss_seg: 0.0323 (0.0335) loss_lansim: 0.0249 (0.0257) loss_contra: 0.0001 (0.0008) time: 2.8179 data: 0.0054 max mem: 31630 Epoch: [39] [5150/5278] eta: 0:06:33 lr: 6.314179351929863e-08 loss: 0.0327 (0.0338) loss_seg: 0.0324 (0.0335) loss_lansim: 0.0250 (0.0257) loss_contra: 0.0001 (0.0008) time: 2.7965 data: 0.0053 max mem: 31630 Epoch: [39] [5160/5278] eta: 0:06:03 lr: 5.8649030908792364e-08 loss: 0.0327 (0.0337) loss_seg: 0.0325 (0.0335) loss_lansim: 0.0250 (0.0257) loss_contra: 0.0001 (0.0008) time: 2.7745 data: 0.0053 max mem: 31630 Epoch: [39] [5170/5278] eta: 0:05:32 lr: 5.411765438525677e-08 loss: 0.0328 (0.0338) loss_seg: 0.0326 (0.0335) loss_lansim: 0.0249 (0.0257) loss_contra: 0.0001 (0.0009) time: 2.7517 data: 0.0053 max mem: 31630 Epoch: [39] [5180/5278] eta: 0:05:01 lr: 4.954366445786298e-08 loss: 0.0332 (0.0338) loss_seg: 0.0329 (0.0335) loss_lansim: 0.0250 (0.0257) loss_contra: 0.0001 (0.0008) time: 2.7538 data: 0.0053 max mem: 31630 Epoch: [39] [5190/5278] eta: 0:04:30 lr: 4.4922187085395096e-08 loss: 0.0335 (0.0338) loss_seg: 0.0333 (0.0335) loss_lansim: 0.0250 (0.0257) loss_contra: 0.0001 (0.0008) time: 2.7616 data: 0.0053 max mem: 31630 Epoch: [39] [5200/5278] eta: 0:03:59 lr: 4.024715789306472e-08 loss: 0.0350 (0.0338) loss_seg: 0.0347 (0.0335) loss_lansim: 0.0253 (0.0257) loss_contra: 0.0001 (0.0008) time: 2.7698 data: 0.0053 max mem: 31630 Epoch: [39] [5210/5278] eta: 0:03:29 lr: 3.551083523511796e-08 loss: 0.0345 (0.0338) loss_seg: 0.0342 (0.0335) loss_lansim: 0.0250 (0.0257) loss_contra: 0.0001 (0.0008) time: 2.7771 data: 0.0053 max mem: 31630 Epoch: [39] [5220/5278] eta: 0:02:58 lr: 3.0703008649448016e-08 loss: 0.0339 (0.0338) loss_seg: 0.0336 (0.0335) loss_lansim: 0.0250 (0.0257) loss_contra: 0.0001 (0.0009) time: 2.7868 data: 0.0054 max mem: 31630 Epoch: [39] [5230/5278] eta: 0:02:27 lr: 2.5809621580666744e-08 loss: 0.0339 (0.0338) loss_seg: 0.0336 (0.0335) loss_lansim: 0.0250 (0.0257) loss_contra: 0.0001 (0.0009) time: 2.7921 data: 0.0054 max mem: 31630 Epoch: [39] [5240/5278] eta: 0:01:56 lr: 2.0810145489980494e-08 loss: 0.0335 (0.0338) loss_seg: 0.0333 (0.0335) loss_lansim: 0.0251 (0.0257) loss_contra: 0.0001 (0.0009) time: 2.7997 data: 0.0054 max mem: 31630 Epoch: [39] [5250/5278] eta: 0:01:26 lr: 1.5671874767305206e-08 loss: 0.0339 (0.0338) loss_seg: 0.0336 (0.0335) loss_lansim: 0.0251 (0.0257) loss_contra: 0.0001 (0.0009) time: 2.8124 data: 0.0054 max mem: 31630 Epoch: [39] [5260/5278] eta: 0:00:55 lr: 1.0334693332731133e-08 loss: 0.0341 (0.0338) loss_seg: 0.0336 (0.0335) loss_lansim: 0.0252 (0.0257) loss_contra: 0.0001 (0.0009) time: 2.8258 data: 0.0054 max mem: 31630 Epoch: [39] [5270/5278] eta: 0:00:24 lr: 4.650308886050814e-09 loss: 0.0333 (0.0338) loss_seg: 0.0329 (0.0335) loss_lansim: 0.0252 (0.0257) loss_contra: 0.0001 (0.0009) time: 2.8409 data: 0.0055 max mem: 31630 Epoch: [39] Total time: 4:30:12 Test: [ 0/2573] eta: 0:57:30 time: 1.3409 data: 1.1707 max mem: 31630 Test: [ 100/2573] eta: 0:06:16 time: 0.1405 data: 0.0015 max mem: 31630 Test: [ 200/2573] eta: 0:05:53 time: 0.1457 data: 0.0016 max mem: 31630 Test: [ 300/2573] eta: 0:05:32 time: 0.1408 data: 0.0016 max mem: 31630 Test: [ 400/2573] eta: 0:05:16 time: 0.1433 data: 0.0016 max mem: 31630 Test: [ 500/2573] eta: 0:05:01 time: 0.1445 data: 0.0016 max mem: 31630 Test: [ 600/2573] eta: 0:04:47 time: 0.1462 data: 0.0016 max mem: 31630 Test: [ 700/2573] eta: 0:04:33 time: 0.1498 data: 0.0016 max mem: 31630 Test: [ 800/2573] eta: 0:04:19 time: 0.1468 data: 0.0016 max mem: 31630 Test: [ 900/2573] eta: 0:04:04 time: 0.1472 data: 0.0016 max mem: 31630 Test: [1000/2573] eta: 0:03:50 time: 0.1465 data: 0.0016 max mem: 31630 Test: [1100/2573] eta: 0:03:35 time: 0.1456 data: 0.0017 max mem: 31630 Test: [1200/2573] eta: 0:03:21 time: 0.1479 data: 0.0017 max mem: 31630 Test: [1300/2573] eta: 0:03:06 time: 0.1464 data: 0.0016 max mem: 31630 Test: [1400/2573] eta: 0:02:51 time: 0.1422 data: 0.0016 max mem: 31630 Test: [1500/2573] eta: 0:02:36 time: 0.1461 data: 0.0016 max mem: 31630 Test: [1600/2573] eta: 0:02:22 time: 0.1454 data: 0.0015 max mem: 31630 Test: [1700/2573] eta: 0:02:07 time: 0.1457 data: 0.0016 max mem: 31630 Test: [1800/2573] eta: 0:01:52 time: 0.1427 data: 0.0016 max mem: 31630 Test: [1900/2573] eta: 0:01:38 time: 0.1414 data: 0.0016 max mem: 31630 Test: [2000/2573] eta: 0:01:23 time: 0.1412 data: 0.0016 max mem: 31630 Test: [2100/2573] eta: 0:01:08 time: 0.1454 data: 0.0015 max mem: 31630 Test: [2200/2573] eta: 0:00:54 time: 0.1401 data: 0.0015 max mem: 31630 Test: [2300/2573] eta: 0:00:39 time: 0.1454 data: 0.0016 max mem: 31630 Test: [2400/2573] eta: 0:00:25 time: 0.1432 data: 0.0016 max mem: 31630 Test: [2500/2573] eta: 0:00:10 time: 0.1454 data: 0.0016 max mem: 31630 Test: Total time: 0:06:13 Final results: precision@0.5 = 71.18 precision@0.6 = 66.69 precision@0.7 = 60.48 precision@0.8 = 49.43 precision@0.9 = 25.43 overall IoU = 59.72 mean IoU = 63.03 The final_best_performance is 59.83388178122865 Training time 7 days, 4:05:55