{ "best_metric": 0.5539772727272727, "best_model_checkpoint": "videomae-base-finetuned-ucf101-subset/checkpoint-1600", "epoch": 119.00833333333334, "eval_steps": 500, "global_step": 1920, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.005208333333333333, "grad_norm": 3.7305831909179688, "learning_rate": 2.604166666666667e-06, "loss": 4.2451, "step": 10 }, { "epoch": 0.008333333333333333, "eval_accuracy": 0.01065340909090909, "eval_loss": 4.228378772735596, "eval_runtime": 133.9626, "eval_samples_per_second": 10.51, "eval_steps_per_second": 0.164, "step": 16 }, { "epoch": 1.0020833333333334, "grad_norm": 3.0969808101654053, "learning_rate": 5.208333333333334e-06, "loss": 4.231, "step": 20 }, { "epoch": 1.0072916666666667, "grad_norm": 4.606812000274658, "learning_rate": 7.8125e-06, "loss": 4.2251, "step": 30 }, { "epoch": 1.0083333333333333, "eval_accuracy": 0.01065340909090909, "eval_loss": 4.215222358703613, "eval_runtime": 129.5768, "eval_samples_per_second": 10.866, "eval_steps_per_second": 0.17, "step": 32 }, { "epoch": 2.004166666666667, "grad_norm": 3.574765682220459, "learning_rate": 1.0416666666666668e-05, "loss": 4.2276, "step": 40 }, { "epoch": 2.0083333333333333, "eval_accuracy": 0.012073863636363636, "eval_loss": 4.209568500518799, "eval_runtime": 130.2735, "eval_samples_per_second": 10.808, "eval_steps_per_second": 0.169, "step": 48 }, { "epoch": 3.0010416666666666, "grad_norm": 4.630516052246094, "learning_rate": 1.3020833333333334e-05, "loss": 4.2126, "step": 50 }, { "epoch": 3.00625, "grad_norm": 3.0715420246124268, "learning_rate": 1.5625e-05, "loss": 4.2146, "step": 60 }, { "epoch": 3.0083333333333333, "eval_accuracy": 0.014914772727272728, "eval_loss": 4.212440490722656, "eval_runtime": 128.256, "eval_samples_per_second": 10.978, "eval_steps_per_second": 0.172, "step": 64 }, { "epoch": 4.003125, "grad_norm": 2.934682846069336, "learning_rate": 1.8229166666666668e-05, "loss": 4.2235, "step": 70 }, { "epoch": 4.008333333333334, "grad_norm": 8.70511245727539, "learning_rate": 2.0833333333333336e-05, "loss": 4.2217, "step": 80 }, { "epoch": 4.008333333333334, "eval_accuracy": 0.01775568181818182, "eval_loss": 4.2041802406311035, "eval_runtime": 126.2921, "eval_samples_per_second": 11.149, "eval_steps_per_second": 0.174, "step": 80 }, { "epoch": 5.005208333333333, "grad_norm": 2.5297322273254395, "learning_rate": 2.34375e-05, "loss": 4.2091, "step": 90 }, { "epoch": 5.008333333333334, "eval_accuracy": 0.0234375, "eval_loss": 4.205115795135498, "eval_runtime": 127.2102, "eval_samples_per_second": 11.068, "eval_steps_per_second": 0.173, "step": 96 }, { "epoch": 6.002083333333333, "grad_norm": 2.4549720287323, "learning_rate": 2.604166666666667e-05, "loss": 4.2256, "step": 100 }, { "epoch": 6.007291666666666, "grad_norm": 2.3255746364593506, "learning_rate": 2.8645833333333333e-05, "loss": 4.2085, "step": 110 }, { "epoch": 6.008333333333334, "eval_accuracy": 0.018465909090909092, "eval_loss": 4.193885803222656, "eval_runtime": 130.9427, "eval_samples_per_second": 10.753, "eval_steps_per_second": 0.168, "step": 112 }, { "epoch": 7.004166666666666, "grad_norm": 2.676177978515625, "learning_rate": 3.125e-05, "loss": 4.2044, "step": 120 }, { "epoch": 7.008333333333334, "eval_accuracy": 0.0390625, "eval_loss": 4.1791582107543945, "eval_runtime": 125.2796, "eval_samples_per_second": 11.239, "eval_steps_per_second": 0.176, "step": 128 }, { "epoch": 8.001041666666667, "grad_norm": 2.616762161254883, "learning_rate": 3.385416666666667e-05, "loss": 4.1911, "step": 130 }, { "epoch": 8.00625, "grad_norm": 2.983841896057129, "learning_rate": 3.6458333333333336e-05, "loss": 4.1624, "step": 140 }, { "epoch": 8.008333333333333, "eval_accuracy": 0.022017045454545456, "eval_loss": 4.201480388641357, "eval_runtime": 136.9987, "eval_samples_per_second": 10.277, "eval_steps_per_second": 0.161, "step": 144 }, { "epoch": 9.003125, "grad_norm": 2.874126434326172, "learning_rate": 3.90625e-05, "loss": 4.1349, "step": 150 }, { "epoch": 9.008333333333333, "grad_norm": 10.345636367797852, "learning_rate": 4.166666666666667e-05, "loss": 4.1253, "step": 160 }, { "epoch": 9.008333333333333, "eval_accuracy": 0.029829545454545456, "eval_loss": 4.1215105056762695, "eval_runtime": 132.9763, "eval_samples_per_second": 10.588, "eval_steps_per_second": 0.165, "step": 160 }, { "epoch": 10.005208333333334, "grad_norm": 3.5383424758911133, "learning_rate": 4.4270833333333337e-05, "loss": 4.0308, "step": 170 }, { "epoch": 10.008333333333333, "eval_accuracy": 0.07102272727272728, "eval_loss": 4.002456188201904, "eval_runtime": 127.9472, "eval_samples_per_second": 11.005, "eval_steps_per_second": 0.172, "step": 176 }, { "epoch": 11.002083333333333, "grad_norm": 4.1187543869018555, "learning_rate": 4.6875e-05, "loss": 3.9438, "step": 180 }, { "epoch": 11.007291666666667, "grad_norm": 4.370882034301758, "learning_rate": 4.947916666666667e-05, "loss": 3.8065, "step": 190 }, { "epoch": 11.008333333333333, "eval_accuracy": 0.08380681818181818, "eval_loss": 3.872328758239746, "eval_runtime": 142.2129, "eval_samples_per_second": 9.901, "eval_steps_per_second": 0.155, "step": 192 }, { "epoch": 12.004166666666666, "grad_norm": 3.4101152420043945, "learning_rate": 4.976851851851852e-05, "loss": 3.7614, "step": 200 }, { "epoch": 12.008333333333333, "eval_accuracy": 0.09943181818181818, "eval_loss": 3.7138783931732178, "eval_runtime": 125.568, "eval_samples_per_second": 11.213, "eval_steps_per_second": 0.175, "step": 208 }, { "epoch": 13.001041666666667, "grad_norm": 4.585361480712891, "learning_rate": 4.947916666666667e-05, "loss": 3.6302, "step": 210 }, { "epoch": 13.00625, "grad_norm": 4.209935665130615, "learning_rate": 4.9189814814814815e-05, "loss": 3.4761, "step": 220 }, { "epoch": 13.008333333333333, "eval_accuracy": 0.1434659090909091, "eval_loss": 3.6160459518432617, "eval_runtime": 133.4296, "eval_samples_per_second": 10.552, "eval_steps_per_second": 0.165, "step": 224 }, { "epoch": 14.003125, "grad_norm": 4.6234049797058105, "learning_rate": 4.8900462962962965e-05, "loss": 3.3764, "step": 230 }, { "epoch": 14.008333333333333, "grad_norm": 13.464088439941406, "learning_rate": 4.8611111111111115e-05, "loss": 3.278, "step": 240 }, { "epoch": 14.008333333333333, "eval_accuracy": 0.1924715909090909, "eval_loss": 3.3939576148986816, "eval_runtime": 129.3255, "eval_samples_per_second": 10.887, "eval_steps_per_second": 0.17, "step": 240 }, { "epoch": 15.005208333333334, "grad_norm": 4.547211647033691, "learning_rate": 4.8321759259259265e-05, "loss": 3.0999, "step": 250 }, { "epoch": 15.008333333333333, "eval_accuracy": 0.2080965909090909, "eval_loss": 3.3182637691497803, "eval_runtime": 123.805, "eval_samples_per_second": 11.373, "eval_steps_per_second": 0.178, "step": 256 }, { "epoch": 16.002083333333335, "grad_norm": 4.825346946716309, "learning_rate": 4.803240740740741e-05, "loss": 3.0213, "step": 260 }, { "epoch": 16.007291666666667, "grad_norm": 5.93734884262085, "learning_rate": 4.774305555555556e-05, "loss": 2.9721, "step": 270 }, { "epoch": 16.008333333333333, "eval_accuracy": 0.24857954545454544, "eval_loss": 3.159555673599243, "eval_runtime": 124.115, "eval_samples_per_second": 11.344, "eval_steps_per_second": 0.177, "step": 272 }, { "epoch": 17.004166666666666, "grad_norm": 4.84201717376709, "learning_rate": 4.745370370370371e-05, "loss": 2.8064, "step": 280 }, { "epoch": 17.008333333333333, "eval_accuracy": 0.26704545454545453, "eval_loss": 3.023179054260254, "eval_runtime": 131.2545, "eval_samples_per_second": 10.727, "eval_steps_per_second": 0.168, "step": 288 }, { "epoch": 18.001041666666666, "grad_norm": 5.273012161254883, "learning_rate": 4.716435185185186e-05, "loss": 2.813, "step": 290 }, { "epoch": 18.00625, "grad_norm": 5.6201276779174805, "learning_rate": 4.6875e-05, "loss": 2.6554, "step": 300 }, { "epoch": 18.008333333333333, "eval_accuracy": 0.2911931818181818, "eval_loss": 2.9448060989379883, "eval_runtime": 123.4251, "eval_samples_per_second": 11.408, "eval_steps_per_second": 0.178, "step": 304 }, { "epoch": 19.003125, "grad_norm": 7.461442470550537, "learning_rate": 4.658564814814815e-05, "loss": 2.6668, "step": 310 }, { "epoch": 19.008333333333333, "grad_norm": 14.555140495300293, "learning_rate": 4.62962962962963e-05, "loss": 2.5052, "step": 320 }, { "epoch": 19.008333333333333, "eval_accuracy": 0.3309659090909091, "eval_loss": 2.828484535217285, "eval_runtime": 127.0838, "eval_samples_per_second": 11.079, "eval_steps_per_second": 0.173, "step": 320 }, { "epoch": 20.005208333333332, "grad_norm": 6.753479957580566, "learning_rate": 4.6006944444444444e-05, "loss": 2.4322, "step": 330 }, { "epoch": 20.008333333333333, "eval_accuracy": 0.34019886363636365, "eval_loss": 2.7478535175323486, "eval_runtime": 125.7771, "eval_samples_per_second": 11.194, "eval_steps_per_second": 0.175, "step": 336 }, { "epoch": 21.002083333333335, "grad_norm": 5.665611743927002, "learning_rate": 4.5717592592592594e-05, "loss": 2.4376, "step": 340 }, { "epoch": 21.007291666666667, "grad_norm": 5.6526570320129395, "learning_rate": 4.5428240740740744e-05, "loss": 2.3193, "step": 350 }, { "epoch": 21.008333333333333, "eval_accuracy": 0.3309659090909091, "eval_loss": 2.794116735458374, "eval_runtime": 126.5702, "eval_samples_per_second": 11.124, "eval_steps_per_second": 0.174, "step": 352 }, { "epoch": 22.004166666666666, "grad_norm": 6.312890529632568, "learning_rate": 4.5138888888888894e-05, "loss": 2.2565, "step": 360 }, { "epoch": 22.008333333333333, "eval_accuracy": 0.3671875, "eval_loss": 2.6383402347564697, "eval_runtime": 123.0345, "eval_samples_per_second": 11.444, "eval_steps_per_second": 0.179, "step": 368 }, { "epoch": 23.001041666666666, "grad_norm": 5.865190505981445, "learning_rate": 4.484953703703704e-05, "loss": 2.1257, "step": 370 }, { "epoch": 23.00625, "grad_norm": 5.813269138336182, "learning_rate": 4.456018518518519e-05, "loss": 2.1405, "step": 380 }, { "epoch": 23.008333333333333, "eval_accuracy": 0.36079545454545453, "eval_loss": 2.5905861854553223, "eval_runtime": 126.2698, "eval_samples_per_second": 11.151, "eval_steps_per_second": 0.174, "step": 384 }, { "epoch": 24.003125, "grad_norm": 6.6013569831848145, "learning_rate": 4.4270833333333337e-05, "loss": 1.9715, "step": 390 }, { "epoch": 24.008333333333333, "grad_norm": 14.786352157592773, "learning_rate": 4.3981481481481486e-05, "loss": 2.1049, "step": 400 }, { "epoch": 24.008333333333333, "eval_accuracy": 0.37855113636363635, "eval_loss": 2.5515265464782715, "eval_runtime": 134.242, "eval_samples_per_second": 10.489, "eval_steps_per_second": 0.164, "step": 400 }, { "epoch": 25.005208333333332, "grad_norm": 6.399519920349121, "learning_rate": 4.369212962962963e-05, "loss": 1.8424, "step": 410 }, { "epoch": 25.008333333333333, "eval_accuracy": 0.39204545454545453, "eval_loss": 2.4692277908325195, "eval_runtime": 134.5245, "eval_samples_per_second": 10.466, "eval_steps_per_second": 0.164, "step": 416 }, { "epoch": 26.002083333333335, "grad_norm": 5.429991245269775, "learning_rate": 4.340277777777778e-05, "loss": 2.0616, "step": 420 }, { "epoch": 26.007291666666667, "grad_norm": 6.501383304595947, "learning_rate": 4.311342592592593e-05, "loss": 1.8685, "step": 430 }, { "epoch": 26.008333333333333, "eval_accuracy": 0.4275568181818182, "eval_loss": 2.4325406551361084, "eval_runtime": 138.3084, "eval_samples_per_second": 10.18, "eval_steps_per_second": 0.159, "step": 432 }, { "epoch": 27.004166666666666, "grad_norm": 6.909026622772217, "learning_rate": 4.282407407407408e-05, "loss": 1.7478, "step": 440 }, { "epoch": 27.008333333333333, "eval_accuracy": 0.4147727272727273, "eval_loss": 2.416501522064209, "eval_runtime": 128.9504, "eval_samples_per_second": 10.919, "eval_steps_per_second": 0.171, "step": 448 }, { "epoch": 28.001041666666666, "grad_norm": 6.359575271606445, "learning_rate": 4.253472222222222e-05, "loss": 2.0103, "step": 450 }, { "epoch": 28.00625, "grad_norm": 7.018951416015625, "learning_rate": 4.224537037037037e-05, "loss": 1.7072, "step": 460 }, { "epoch": 28.008333333333333, "eval_accuracy": 0.4268465909090909, "eval_loss": 2.3617048263549805, "eval_runtime": 126.6826, "eval_samples_per_second": 11.114, "eval_steps_per_second": 0.174, "step": 464 }, { "epoch": 29.003125, "grad_norm": 5.399332523345947, "learning_rate": 4.195601851851852e-05, "loss": 1.8236, "step": 470 }, { "epoch": 29.008333333333333, "grad_norm": 14.481021881103516, "learning_rate": 4.166666666666667e-05, "loss": 1.7206, "step": 480 }, { "epoch": 29.008333333333333, "eval_accuracy": 0.4303977272727273, "eval_loss": 2.372326135635376, "eval_runtime": 128.5457, "eval_samples_per_second": 10.953, "eval_steps_per_second": 0.171, "step": 480 }, { "epoch": 30.005208333333332, "grad_norm": 7.11575984954834, "learning_rate": 4.1377314814814815e-05, "loss": 1.693, "step": 490 }, { "epoch": 30.008333333333333, "eval_accuracy": 0.4424715909090909, "eval_loss": 2.2890071868896484, "eval_runtime": 128.9784, "eval_samples_per_second": 10.917, "eval_steps_per_second": 0.171, "step": 496 }, { "epoch": 31.002083333333335, "grad_norm": 7.223865985870361, "learning_rate": 4.1087962962962965e-05, "loss": 1.6722, "step": 500 }, { "epoch": 31.007291666666667, "grad_norm": 7.608266353607178, "learning_rate": 4.0798611111111115e-05, "loss": 1.6347, "step": 510 }, { "epoch": 31.008333333333333, "eval_accuracy": 0.44105113636363635, "eval_loss": 2.244246482849121, "eval_runtime": 129.1752, "eval_samples_per_second": 10.9, "eval_steps_per_second": 0.17, "step": 512 }, { "epoch": 32.00416666666667, "grad_norm": 7.774643898010254, "learning_rate": 4.0509259259259265e-05, "loss": 1.5276, "step": 520 }, { "epoch": 32.00833333333333, "eval_accuracy": 0.46732954545454547, "eval_loss": 2.210369110107422, "eval_runtime": 120.0766, "eval_samples_per_second": 11.726, "eval_steps_per_second": 0.183, "step": 528 }, { "epoch": 33.001041666666666, "grad_norm": 6.766725063323975, "learning_rate": 4.021990740740741e-05, "loss": 1.5203, "step": 530 }, { "epoch": 33.00625, "grad_norm": 5.995940208435059, "learning_rate": 3.993055555555556e-05, "loss": 1.4576, "step": 540 }, { "epoch": 33.00833333333333, "eval_accuracy": 0.45454545454545453, "eval_loss": 2.227916717529297, "eval_runtime": 124.0445, "eval_samples_per_second": 11.351, "eval_steps_per_second": 0.177, "step": 544 }, { "epoch": 34.003125, "grad_norm": 6.610184669494629, "learning_rate": 3.964120370370371e-05, "loss": 1.5347, "step": 550 }, { "epoch": 34.00833333333333, "grad_norm": 24.694988250732422, "learning_rate": 3.935185185185186e-05, "loss": 1.5455, "step": 560 }, { "epoch": 34.00833333333333, "eval_accuracy": 0.4524147727272727, "eval_loss": 2.204953908920288, "eval_runtime": 131.2835, "eval_samples_per_second": 10.725, "eval_steps_per_second": 0.168, "step": 560 }, { "epoch": 35.005208333333336, "grad_norm": 6.918396472930908, "learning_rate": 3.90625e-05, "loss": 1.4485, "step": 570 }, { "epoch": 35.00833333333333, "eval_accuracy": 0.4737215909090909, "eval_loss": 2.1584527492523193, "eval_runtime": 134.6721, "eval_samples_per_second": 10.455, "eval_steps_per_second": 0.163, "step": 576 }, { "epoch": 36.00208333333333, "grad_norm": 6.077505588531494, "learning_rate": 3.877314814814815e-05, "loss": 1.4391, "step": 580 }, { "epoch": 36.00729166666667, "grad_norm": 6.617316722869873, "learning_rate": 3.84837962962963e-05, "loss": 1.3896, "step": 590 }, { "epoch": 36.00833333333333, "eval_accuracy": 0.4446022727272727, "eval_loss": 2.1850500106811523, "eval_runtime": 129.9914, "eval_samples_per_second": 10.831, "eval_steps_per_second": 0.169, "step": 592 }, { "epoch": 37.00416666666667, "grad_norm": 7.900727272033691, "learning_rate": 3.8194444444444444e-05, "loss": 1.3766, "step": 600 }, { "epoch": 37.00833333333333, "eval_accuracy": 0.4872159090909091, "eval_loss": 2.118501663208008, "eval_runtime": 131.0307, "eval_samples_per_second": 10.746, "eval_steps_per_second": 0.168, "step": 608 }, { "epoch": 38.001041666666666, "grad_norm": 6.658583641052246, "learning_rate": 3.7905092592592594e-05, "loss": 1.287, "step": 610 }, { "epoch": 38.00625, "grad_norm": 5.483121395111084, "learning_rate": 3.7615740740740744e-05, "loss": 1.4035, "step": 620 }, { "epoch": 38.00833333333333, "eval_accuracy": 0.4794034090909091, "eval_loss": 2.116427183151245, "eval_runtime": 133.3027, "eval_samples_per_second": 10.562, "eval_steps_per_second": 0.165, "step": 624 }, { "epoch": 39.003125, "grad_norm": 6.027029991149902, "learning_rate": 3.7326388888888893e-05, "loss": 1.416, "step": 630 }, { "epoch": 39.00833333333333, "grad_norm": 17.550609588623047, "learning_rate": 3.7037037037037037e-05, "loss": 1.5892, "step": 640 }, { "epoch": 39.00833333333333, "eval_accuracy": 0.48011363636363635, "eval_loss": 2.102943181991577, "eval_runtime": 124.9558, "eval_samples_per_second": 11.268, "eval_steps_per_second": 0.176, "step": 640 }, { "epoch": 40.005208333333336, "grad_norm": 8.286770820617676, "learning_rate": 3.6747685185185186e-05, "loss": 1.3647, "step": 650 }, { "epoch": 40.00833333333333, "eval_accuracy": 0.4928977272727273, "eval_loss": 2.0912482738494873, "eval_runtime": 125.7809, "eval_samples_per_second": 11.194, "eval_steps_per_second": 0.175, "step": 656 }, { "epoch": 41.00208333333333, "grad_norm": 6.9772138595581055, "learning_rate": 3.6458333333333336e-05, "loss": 1.3769, "step": 660 }, { "epoch": 41.00729166666667, "grad_norm": 6.215446472167969, "learning_rate": 3.6168981481481486e-05, "loss": 1.388, "step": 670 }, { "epoch": 41.00833333333333, "eval_accuracy": 0.47301136363636365, "eval_loss": 2.1330864429473877, "eval_runtime": 134.2267, "eval_samples_per_second": 10.49, "eval_steps_per_second": 0.164, "step": 672 }, { "epoch": 42.00416666666667, "grad_norm": 6.233066082000732, "learning_rate": 3.587962962962963e-05, "loss": 1.3425, "step": 680 }, { "epoch": 42.00833333333333, "eval_accuracy": 0.4794034090909091, "eval_loss": 2.143657922744751, "eval_runtime": 126.4352, "eval_samples_per_second": 11.136, "eval_steps_per_second": 0.174, "step": 688 }, { "epoch": 43.001041666666666, "grad_norm": 7.223750591278076, "learning_rate": 3.559027777777778e-05, "loss": 1.1958, "step": 690 }, { "epoch": 43.00625, "grad_norm": 6.594886779785156, "learning_rate": 3.530092592592593e-05, "loss": 1.2909, "step": 700 }, { "epoch": 43.00833333333333, "eval_accuracy": 0.4715909090909091, "eval_loss": 2.109005928039551, "eval_runtime": 129.7594, "eval_samples_per_second": 10.851, "eval_steps_per_second": 0.17, "step": 704 }, { "epoch": 44.003125, "grad_norm": 5.431155681610107, "learning_rate": 3.501157407407408e-05, "loss": 1.2277, "step": 710 }, { "epoch": 44.00833333333333, "grad_norm": 23.15688133239746, "learning_rate": 3.472222222222222e-05, "loss": 1.2757, "step": 720 }, { "epoch": 44.00833333333333, "eval_accuracy": 0.4900568181818182, "eval_loss": 2.0685956478118896, "eval_runtime": 117.5767, "eval_samples_per_second": 11.975, "eval_steps_per_second": 0.187, "step": 720 }, { "epoch": 45.005208333333336, "grad_norm": 6.826360702514648, "learning_rate": 3.443287037037037e-05, "loss": 1.181, "step": 730 }, { "epoch": 45.00833333333333, "eval_accuracy": 0.4893465909090909, "eval_loss": 2.0484628677368164, "eval_runtime": 122.183, "eval_samples_per_second": 11.524, "eval_steps_per_second": 0.18, "step": 736 }, { "epoch": 46.00208333333333, "grad_norm": 6.446974277496338, "learning_rate": 3.414351851851852e-05, "loss": 1.2034, "step": 740 }, { "epoch": 46.00729166666667, "grad_norm": 6.026095390319824, "learning_rate": 3.385416666666667e-05, "loss": 1.1825, "step": 750 }, { "epoch": 46.00833333333333, "eval_accuracy": 0.484375, "eval_loss": 2.0560503005981445, "eval_runtime": 129.8384, "eval_samples_per_second": 10.844, "eval_steps_per_second": 0.169, "step": 752 }, { "epoch": 47.00416666666667, "grad_norm": 7.490734577178955, "learning_rate": 3.3564814814814815e-05, "loss": 1.1594, "step": 760 }, { "epoch": 47.00833333333333, "eval_accuracy": 0.49644886363636365, "eval_loss": 2.0327041149139404, "eval_runtime": 125.1147, "eval_samples_per_second": 11.254, "eval_steps_per_second": 0.176, "step": 768 }, { "epoch": 48.001041666666666, "grad_norm": 6.074591636657715, "learning_rate": 3.3275462962962965e-05, "loss": 1.0989, "step": 770 }, { "epoch": 48.00625, "grad_norm": 7.924504280090332, "learning_rate": 3.2986111111111115e-05, "loss": 1.1699, "step": 780 }, { "epoch": 48.00833333333333, "eval_accuracy": 0.4765625, "eval_loss": 2.095003366470337, "eval_runtime": 131.8398, "eval_samples_per_second": 10.68, "eval_steps_per_second": 0.167, "step": 784 }, { "epoch": 49.003125, "grad_norm": 7.409806728363037, "learning_rate": 3.2696759259259265e-05, "loss": 1.2027, "step": 790 }, { "epoch": 49.00833333333333, "grad_norm": 23.586345672607422, "learning_rate": 3.240740740740741e-05, "loss": 1.1908, "step": 800 }, { "epoch": 49.00833333333333, "eval_accuracy": 0.4850852272727273, "eval_loss": 2.0465078353881836, "eval_runtime": 129.3358, "eval_samples_per_second": 10.886, "eval_steps_per_second": 0.17, "step": 800 }, { "epoch": 50.005208333333336, "grad_norm": 7.079756736755371, "learning_rate": 3.211805555555556e-05, "loss": 1.1149, "step": 810 }, { "epoch": 50.00833333333333, "eval_accuracy": 0.48792613636363635, "eval_loss": 2.0569851398468018, "eval_runtime": 123.867, "eval_samples_per_second": 11.367, "eval_steps_per_second": 0.178, "step": 816 }, { "epoch": 51.00208333333333, "grad_norm": 5.848146438598633, "learning_rate": 3.182870370370371e-05, "loss": 1.0907, "step": 820 }, { "epoch": 51.00729166666667, "grad_norm": 7.725104808807373, "learning_rate": 3.153935185185186e-05, "loss": 1.1388, "step": 830 }, { "epoch": 51.00833333333333, "eval_accuracy": 0.4978693181818182, "eval_loss": 2.0232162475585938, "eval_runtime": 124.9726, "eval_samples_per_second": 11.266, "eval_steps_per_second": 0.176, "step": 832 }, { "epoch": 52.00416666666667, "grad_norm": 6.411397457122803, "learning_rate": 3.125e-05, "loss": 1.0421, "step": 840 }, { "epoch": 52.00833333333333, "eval_accuracy": 0.49857954545454547, "eval_loss": 2.0132648944854736, "eval_runtime": 130.0486, "eval_samples_per_second": 10.827, "eval_steps_per_second": 0.169, "step": 848 }, { "epoch": 53.001041666666666, "grad_norm": 6.417796611785889, "learning_rate": 3.0960648148148144e-05, "loss": 1.128, "step": 850 }, { "epoch": 53.00625, "grad_norm": 6.483155727386475, "learning_rate": 3.06712962962963e-05, "loss": 1.1243, "step": 860 }, { "epoch": 53.00833333333333, "eval_accuracy": 0.4900568181818182, "eval_loss": 2.0420944690704346, "eval_runtime": 131.0098, "eval_samples_per_second": 10.747, "eval_steps_per_second": 0.168, "step": 864 }, { "epoch": 54.003125, "grad_norm": 7.885180950164795, "learning_rate": 3.0381944444444444e-05, "loss": 1.0331, "step": 870 }, { "epoch": 54.00833333333333, "grad_norm": 28.23676300048828, "learning_rate": 3.0092592592592593e-05, "loss": 1.1064, "step": 880 }, { "epoch": 54.00833333333333, "eval_accuracy": 0.5042613636363636, "eval_loss": 1.9613640308380127, "eval_runtime": 129.6513, "eval_samples_per_second": 10.86, "eval_steps_per_second": 0.17, "step": 880 }, { "epoch": 55.005208333333336, "grad_norm": 7.0548319816589355, "learning_rate": 2.980324074074074e-05, "loss": 0.9778, "step": 890 }, { "epoch": 55.00833333333333, "eval_accuracy": 0.5071022727272727, "eval_loss": 1.9938956499099731, "eval_runtime": 125.6294, "eval_samples_per_second": 11.208, "eval_steps_per_second": 0.175, "step": 896 }, { "epoch": 56.00208333333333, "grad_norm": 7.993034362792969, "learning_rate": 2.951388888888889e-05, "loss": 1.0192, "step": 900 }, { "epoch": 56.00729166666667, "grad_norm": 8.833446502685547, "learning_rate": 2.9224537037037036e-05, "loss": 1.1417, "step": 910 }, { "epoch": 56.00833333333333, "eval_accuracy": 0.5106534090909091, "eval_loss": 1.977372646331787, "eval_runtime": 141.0715, "eval_samples_per_second": 9.981, "eval_steps_per_second": 0.156, "step": 912 }, { "epoch": 57.00416666666667, "grad_norm": 6.480681896209717, "learning_rate": 2.8935185185185186e-05, "loss": 1.0578, "step": 920 }, { "epoch": 57.00833333333333, "eval_accuracy": 0.5305397727272727, "eval_loss": 1.9625455141067505, "eval_runtime": 137.3354, "eval_samples_per_second": 10.252, "eval_steps_per_second": 0.16, "step": 928 }, { "epoch": 58.001041666666666, "grad_norm": 6.03174352645874, "learning_rate": 2.8645833333333333e-05, "loss": 0.9695, "step": 930 }, { "epoch": 58.00625, "grad_norm": 5.930421352386475, "learning_rate": 2.8356481481481483e-05, "loss": 1.0904, "step": 940 }, { "epoch": 58.00833333333333, "eval_accuracy": 0.5056818181818182, "eval_loss": 1.971279501914978, "eval_runtime": 124.5828, "eval_samples_per_second": 11.302, "eval_steps_per_second": 0.177, "step": 944 }, { "epoch": 59.003125, "grad_norm": 7.177443027496338, "learning_rate": 2.806712962962963e-05, "loss": 1.0493, "step": 950 }, { "epoch": 59.00833333333333, "grad_norm": 32.896873474121094, "learning_rate": 2.777777777777778e-05, "loss": 1.2569, "step": 960 }, { "epoch": 59.00833333333333, "eval_accuracy": 0.5255681818181818, "eval_loss": 1.9495558738708496, "eval_runtime": 125.0434, "eval_samples_per_second": 11.26, "eval_steps_per_second": 0.176, "step": 960 }, { "epoch": 60.005208333333336, "grad_norm": 6.914553642272949, "learning_rate": 2.7488425925925926e-05, "loss": 1.076, "step": 970 }, { "epoch": 60.00833333333333, "eval_accuracy": 0.5369318181818182, "eval_loss": 1.9237945079803467, "eval_runtime": 130.5511, "eval_samples_per_second": 10.785, "eval_steps_per_second": 0.169, "step": 976 }, { "epoch": 61.00208333333333, "grad_norm": 6.131436347961426, "learning_rate": 2.7199074074074076e-05, "loss": 0.9972, "step": 980 }, { "epoch": 61.00729166666667, "grad_norm": 8.375364303588867, "learning_rate": 2.6909722222222222e-05, "loss": 1.018, "step": 990 }, { "epoch": 61.00833333333333, "eval_accuracy": 0.515625, "eval_loss": 1.9578070640563965, "eval_runtime": 128.8964, "eval_samples_per_second": 10.924, "eval_steps_per_second": 0.171, "step": 992 }, { "epoch": 62.00416666666667, "grad_norm": 8.409364700317383, "learning_rate": 2.6620370370370372e-05, "loss": 0.8569, "step": 1000 }, { "epoch": 62.00833333333333, "eval_accuracy": 0.5184659090909091, "eval_loss": 1.9410430192947388, "eval_runtime": 126.0956, "eval_samples_per_second": 11.166, "eval_steps_per_second": 0.174, "step": 1008 }, { "epoch": 63.001041666666666, "grad_norm": 6.331228256225586, "learning_rate": 2.633101851851852e-05, "loss": 1.1689, "step": 1010 }, { "epoch": 63.00625, "grad_norm": 5.7633161544799805, "learning_rate": 2.604166666666667e-05, "loss": 0.9847, "step": 1020 }, { "epoch": 63.00833333333333, "eval_accuracy": 0.5134943181818182, "eval_loss": 1.965501308441162, "eval_runtime": 134.8984, "eval_samples_per_second": 10.437, "eval_steps_per_second": 0.163, "step": 1024 }, { "epoch": 64.003125, "grad_norm": 6.778160572052002, "learning_rate": 2.5752314814814815e-05, "loss": 1.0541, "step": 1030 }, { "epoch": 64.00833333333334, "grad_norm": 15.068023681640625, "learning_rate": 2.5462962962962965e-05, "loss": 0.8992, "step": 1040 }, { "epoch": 64.00833333333334, "eval_accuracy": 0.5184659090909091, "eval_loss": 1.97407865524292, "eval_runtime": 131.1607, "eval_samples_per_second": 10.735, "eval_steps_per_second": 0.168, "step": 1040 }, { "epoch": 65.00520833333333, "grad_norm": 6.6322126388549805, "learning_rate": 2.517361111111111e-05, "loss": 0.9781, "step": 1050 }, { "epoch": 65.00833333333334, "eval_accuracy": 0.5248579545454546, "eval_loss": 1.9591399431228638, "eval_runtime": 130.8261, "eval_samples_per_second": 10.762, "eval_steps_per_second": 0.168, "step": 1056 }, { "epoch": 66.00208333333333, "grad_norm": 6.270596504211426, "learning_rate": 2.488425925925926e-05, "loss": 1.1274, "step": 1060 }, { "epoch": 66.00729166666666, "grad_norm": 5.216790676116943, "learning_rate": 2.4594907407407408e-05, "loss": 0.9016, "step": 1070 }, { "epoch": 66.00833333333334, "eval_accuracy": 0.5134943181818182, "eval_loss": 1.9802237749099731, "eval_runtime": 138.409, "eval_samples_per_second": 10.173, "eval_steps_per_second": 0.159, "step": 1072 }, { "epoch": 67.00416666666666, "grad_norm": 4.889580249786377, "learning_rate": 2.4305555555555558e-05, "loss": 0.9443, "step": 1080 }, { "epoch": 67.00833333333334, "eval_accuracy": 0.5035511363636364, "eval_loss": 1.9881755113601685, "eval_runtime": 132.577, "eval_samples_per_second": 10.62, "eval_steps_per_second": 0.166, "step": 1088 }, { "epoch": 68.00104166666667, "grad_norm": 8.338197708129883, "learning_rate": 2.4016203703703704e-05, "loss": 0.9719, "step": 1090 }, { "epoch": 68.00625, "grad_norm": 7.402223110198975, "learning_rate": 2.3726851851851854e-05, "loss": 0.9359, "step": 1100 }, { "epoch": 68.00833333333334, "eval_accuracy": 0.5092329545454546, "eval_loss": 2.0045785903930664, "eval_runtime": 122.9735, "eval_samples_per_second": 11.45, "eval_steps_per_second": 0.179, "step": 1104 }, { "epoch": 69.003125, "grad_norm": 5.299436092376709, "learning_rate": 2.34375e-05, "loss": 0.9554, "step": 1110 }, { "epoch": 69.00833333333334, "grad_norm": 22.75337028503418, "learning_rate": 2.314814814814815e-05, "loss": 0.7735, "step": 1120 }, { "epoch": 69.00833333333334, "eval_accuracy": 0.5063920454545454, "eval_loss": 2.017183542251587, "eval_runtime": 132.6432, "eval_samples_per_second": 10.615, "eval_steps_per_second": 0.166, "step": 1120 }, { "epoch": 70.00520833333333, "grad_norm": 6.869340896606445, "learning_rate": 2.2858796296296297e-05, "loss": 0.9405, "step": 1130 }, { "epoch": 70.00833333333334, "eval_accuracy": 0.5269886363636364, "eval_loss": 1.955207109451294, "eval_runtime": 135.5316, "eval_samples_per_second": 10.389, "eval_steps_per_second": 0.162, "step": 1136 }, { "epoch": 71.00208333333333, "grad_norm": 7.737886428833008, "learning_rate": 2.2569444444444447e-05, "loss": 0.9419, "step": 1140 }, { "epoch": 71.00729166666666, "grad_norm": 6.463024139404297, "learning_rate": 2.2280092592592593e-05, "loss": 0.9709, "step": 1150 }, { "epoch": 71.00833333333334, "eval_accuracy": 0.5227272727272727, "eval_loss": 1.9572663307189941, "eval_runtime": 134.3176, "eval_samples_per_second": 10.483, "eval_steps_per_second": 0.164, "step": 1152 }, { "epoch": 72.00416666666666, "grad_norm": 6.5754923820495605, "learning_rate": 2.1990740740740743e-05, "loss": 0.9914, "step": 1160 }, { "epoch": 72.00833333333334, "eval_accuracy": 0.5248579545454546, "eval_loss": 1.9767735004425049, "eval_runtime": 125.4669, "eval_samples_per_second": 11.222, "eval_steps_per_second": 0.175, "step": 1168 }, { "epoch": 73.00104166666667, "grad_norm": 6.831247329711914, "learning_rate": 2.170138888888889e-05, "loss": 0.8804, "step": 1170 }, { "epoch": 73.00625, "grad_norm": 7.8077392578125, "learning_rate": 2.141203703703704e-05, "loss": 0.8487, "step": 1180 }, { "epoch": 73.00833333333334, "eval_accuracy": 0.5326704545454546, "eval_loss": 1.9569602012634277, "eval_runtime": 134.6123, "eval_samples_per_second": 10.46, "eval_steps_per_second": 0.163, "step": 1184 }, { "epoch": 74.003125, "grad_norm": 5.786107063293457, "learning_rate": 2.1122685185185186e-05, "loss": 0.9529, "step": 1190 }, { "epoch": 74.00833333333334, "grad_norm": 21.245386123657227, "learning_rate": 2.0833333333333336e-05, "loss": 0.835, "step": 1200 }, { "epoch": 74.00833333333334, "eval_accuracy": 0.5241477272727273, "eval_loss": 1.9758590459823608, "eval_runtime": 129.6528, "eval_samples_per_second": 10.86, "eval_steps_per_second": 0.17, "step": 1200 }, { "epoch": 75.00520833333333, "grad_norm": 5.697115421295166, "learning_rate": 2.0543981481481483e-05, "loss": 0.8914, "step": 1210 }, { "epoch": 75.00833333333334, "eval_accuracy": 0.5298295454545454, "eval_loss": 1.9309029579162598, "eval_runtime": 130.377, "eval_samples_per_second": 10.799, "eval_steps_per_second": 0.169, "step": 1216 }, { "epoch": 76.00208333333333, "grad_norm": 4.525904655456543, "learning_rate": 2.0254629629629632e-05, "loss": 0.9268, "step": 1220 }, { "epoch": 76.00729166666666, "grad_norm": 6.657559871673584, "learning_rate": 1.996527777777778e-05, "loss": 0.9242, "step": 1230 }, { "epoch": 76.00833333333334, "eval_accuracy": 0.5241477272727273, "eval_loss": 1.9594990015029907, "eval_runtime": 130.7531, "eval_samples_per_second": 10.768, "eval_steps_per_second": 0.168, "step": 1232 }, { "epoch": 77.00416666666666, "grad_norm": 6.962241172790527, "learning_rate": 1.967592592592593e-05, "loss": 0.8235, "step": 1240 }, { "epoch": 77.00833333333334, "eval_accuracy": 0.5276988636363636, "eval_loss": 1.9556376934051514, "eval_runtime": 124.6215, "eval_samples_per_second": 11.298, "eval_steps_per_second": 0.177, "step": 1248 }, { "epoch": 78.00104166666667, "grad_norm": 6.555630207061768, "learning_rate": 1.9386574074074075e-05, "loss": 1.1044, "step": 1250 }, { "epoch": 78.00625, "grad_norm": 7.0458455085754395, "learning_rate": 1.9097222222222222e-05, "loss": 0.8664, "step": 1260 }, { "epoch": 78.00833333333334, "eval_accuracy": 0.5134943181818182, "eval_loss": 1.978991985321045, "eval_runtime": 130.4341, "eval_samples_per_second": 10.795, "eval_steps_per_second": 0.169, "step": 1264 }, { "epoch": 79.003125, "grad_norm": 4.815821170806885, "learning_rate": 1.8807870370370372e-05, "loss": 0.7884, "step": 1270 }, { "epoch": 79.00833333333334, "grad_norm": 26.361722946166992, "learning_rate": 1.8518518518518518e-05, "loss": 0.8699, "step": 1280 }, { "epoch": 79.00833333333334, "eval_accuracy": 0.5227272727272727, "eval_loss": 1.9835097789764404, "eval_runtime": 119.0563, "eval_samples_per_second": 11.826, "eval_steps_per_second": 0.185, "step": 1280 }, { "epoch": 80.00520833333333, "grad_norm": 4.6080474853515625, "learning_rate": 1.8229166666666668e-05, "loss": 0.9112, "step": 1290 }, { "epoch": 80.00833333333334, "eval_accuracy": 0.5291193181818182, "eval_loss": 1.9426430463790894, "eval_runtime": 137.1174, "eval_samples_per_second": 10.269, "eval_steps_per_second": 0.16, "step": 1296 }, { "epoch": 81.00208333333333, "grad_norm": 5.045470237731934, "learning_rate": 1.7939814814814815e-05, "loss": 0.8392, "step": 1300 }, { "epoch": 81.00729166666666, "grad_norm": 6.203034400939941, "learning_rate": 1.7650462962962965e-05, "loss": 0.7901, "step": 1310 }, { "epoch": 81.00833333333334, "eval_accuracy": 0.5255681818181818, "eval_loss": 1.959786295890808, "eval_runtime": 120.2871, "eval_samples_per_second": 11.705, "eval_steps_per_second": 0.183, "step": 1312 }, { "epoch": 82.00416666666666, "grad_norm": 6.214341163635254, "learning_rate": 1.736111111111111e-05, "loss": 0.8186, "step": 1320 }, { "epoch": 82.00833333333334, "eval_accuracy": 0.5319602272727273, "eval_loss": 1.9397464990615845, "eval_runtime": 130.0941, "eval_samples_per_second": 10.823, "eval_steps_per_second": 0.169, "step": 1328 }, { "epoch": 83.00104166666667, "grad_norm": 5.813119411468506, "learning_rate": 1.707175925925926e-05, "loss": 0.7438, "step": 1330 }, { "epoch": 83.00625, "grad_norm": 5.390239715576172, "learning_rate": 1.6782407407407408e-05, "loss": 0.8229, "step": 1340 }, { "epoch": 83.00833333333334, "eval_accuracy": 0.5326704545454546, "eval_loss": 1.938385009765625, "eval_runtime": 124.8818, "eval_samples_per_second": 11.275, "eval_steps_per_second": 0.176, "step": 1344 }, { "epoch": 84.003125, "grad_norm": 5.821295738220215, "learning_rate": 1.6493055555555557e-05, "loss": 1.0251, "step": 1350 }, { "epoch": 84.00833333333334, "grad_norm": 23.789480209350586, "learning_rate": 1.6203703703703704e-05, "loss": 0.9063, "step": 1360 }, { "epoch": 84.00833333333334, "eval_accuracy": 0.5291193181818182, "eval_loss": 1.9323524236679077, "eval_runtime": 122.6737, "eval_samples_per_second": 11.478, "eval_steps_per_second": 0.179, "step": 1360 }, { "epoch": 85.00520833333333, "grad_norm": 7.094452381134033, "learning_rate": 1.5914351851851854e-05, "loss": 0.8843, "step": 1370 }, { "epoch": 85.00833333333334, "eval_accuracy": 0.5369318181818182, "eval_loss": 1.9315829277038574, "eval_runtime": 124.9222, "eval_samples_per_second": 11.271, "eval_steps_per_second": 0.176, "step": 1376 }, { "epoch": 86.00208333333333, "grad_norm": 5.776772975921631, "learning_rate": 1.5625e-05, "loss": 0.7684, "step": 1380 }, { "epoch": 86.00729166666666, "grad_norm": 8.940707206726074, "learning_rate": 1.533564814814815e-05, "loss": 0.7904, "step": 1390 }, { "epoch": 86.00833333333334, "eval_accuracy": 0.5376420454545454, "eval_loss": 1.926943302154541, "eval_runtime": 126.2416, "eval_samples_per_second": 11.153, "eval_steps_per_second": 0.174, "step": 1392 }, { "epoch": 87.00416666666666, "grad_norm": 6.900567054748535, "learning_rate": 1.5046296296296297e-05, "loss": 0.7942, "step": 1400 }, { "epoch": 87.00833333333334, "eval_accuracy": 0.5291193181818182, "eval_loss": 1.9505839347839355, "eval_runtime": 129.4495, "eval_samples_per_second": 10.877, "eval_steps_per_second": 0.17, "step": 1408 }, { "epoch": 88.00104166666667, "grad_norm": 6.561887741088867, "learning_rate": 1.4756944444444445e-05, "loss": 0.7708, "step": 1410 }, { "epoch": 88.00625, "grad_norm": 6.302940368652344, "learning_rate": 1.4467592592592593e-05, "loss": 0.8798, "step": 1420 }, { "epoch": 88.00833333333334, "eval_accuracy": 0.5404829545454546, "eval_loss": 1.9184972047805786, "eval_runtime": 136.5919, "eval_samples_per_second": 10.308, "eval_steps_per_second": 0.161, "step": 1424 }, { "epoch": 89.003125, "grad_norm": 6.015424728393555, "learning_rate": 1.4178240740740741e-05, "loss": 0.7788, "step": 1430 }, { "epoch": 89.00833333333334, "grad_norm": 9.586054801940918, "learning_rate": 1.388888888888889e-05, "loss": 0.7678, "step": 1440 }, { "epoch": 89.00833333333334, "eval_accuracy": 0.5326704545454546, "eval_loss": 1.9361698627471924, "eval_runtime": 128.5409, "eval_samples_per_second": 10.954, "eval_steps_per_second": 0.171, "step": 1440 }, { "epoch": 90.00520833333333, "grad_norm": 6.406522750854492, "learning_rate": 1.3599537037037038e-05, "loss": 0.7589, "step": 1450 }, { "epoch": 90.00833333333334, "eval_accuracy": 0.5276988636363636, "eval_loss": 1.9496175050735474, "eval_runtime": 128.3627, "eval_samples_per_second": 10.969, "eval_steps_per_second": 0.171, "step": 1456 }, { "epoch": 91.00208333333333, "grad_norm": 5.885864734649658, "learning_rate": 1.3310185185185186e-05, "loss": 0.7746, "step": 1460 }, { "epoch": 91.00729166666666, "grad_norm": 6.763460159301758, "learning_rate": 1.3020833333333334e-05, "loss": 0.6679, "step": 1470 }, { "epoch": 91.00833333333334, "eval_accuracy": 0.5298295454545454, "eval_loss": 1.9507235288619995, "eval_runtime": 133.1729, "eval_samples_per_second": 10.573, "eval_steps_per_second": 0.165, "step": 1472 }, { "epoch": 92.00416666666666, "grad_norm": 8.202223777770996, "learning_rate": 1.2731481481481482e-05, "loss": 0.8042, "step": 1480 }, { "epoch": 92.00833333333334, "eval_accuracy": 0.5369318181818182, "eval_loss": 1.950987696647644, "eval_runtime": 134.0073, "eval_samples_per_second": 10.507, "eval_steps_per_second": 0.164, "step": 1488 }, { "epoch": 93.00104166666667, "grad_norm": 6.163456439971924, "learning_rate": 1.244212962962963e-05, "loss": 0.8758, "step": 1490 }, { "epoch": 93.00625, "grad_norm": 8.015287399291992, "learning_rate": 1.2152777777777779e-05, "loss": 0.7722, "step": 1500 }, { "epoch": 93.00833333333334, "eval_accuracy": 0.5333806818181818, "eval_loss": 1.9502681493759155, "eval_runtime": 125.0273, "eval_samples_per_second": 11.262, "eval_steps_per_second": 0.176, "step": 1504 }, { "epoch": 94.003125, "grad_norm": 5.918884754180908, "learning_rate": 1.1863425925925927e-05, "loss": 0.7579, "step": 1510 }, { "epoch": 94.00833333333334, "grad_norm": 18.762502670288086, "learning_rate": 1.1574074074074075e-05, "loss": 0.6831, "step": 1520 }, { "epoch": 94.00833333333334, "eval_accuracy": 0.5348011363636364, "eval_loss": 1.9531010389328003, "eval_runtime": 120.9603, "eval_samples_per_second": 11.64, "eval_steps_per_second": 0.182, "step": 1520 }, { "epoch": 95.00520833333333, "grad_norm": 7.426961421966553, "learning_rate": 1.1284722222222223e-05, "loss": 0.766, "step": 1530 }, { "epoch": 95.00833333333334, "eval_accuracy": 0.5383522727272727, "eval_loss": 1.9345489740371704, "eval_runtime": 129.3794, "eval_samples_per_second": 10.883, "eval_steps_per_second": 0.17, "step": 1536 }, { "epoch": 96.00208333333333, "grad_norm": 5.175162315368652, "learning_rate": 1.0995370370370372e-05, "loss": 0.7168, "step": 1540 }, { "epoch": 96.00729166666666, "grad_norm": 7.063689708709717, "learning_rate": 1.070601851851852e-05, "loss": 0.8099, "step": 1550 }, { "epoch": 96.00833333333334, "eval_accuracy": 0.5376420454545454, "eval_loss": 1.9349414110183716, "eval_runtime": 123.5725, "eval_samples_per_second": 11.394, "eval_steps_per_second": 0.178, "step": 1552 }, { "epoch": 97.00416666666666, "grad_norm": 6.602786064147949, "learning_rate": 1.0416666666666668e-05, "loss": 0.7513, "step": 1560 }, { "epoch": 97.00833333333334, "eval_accuracy": 0.5461647727272727, "eval_loss": 1.9238044023513794, "eval_runtime": 139.032, "eval_samples_per_second": 10.127, "eval_steps_per_second": 0.158, "step": 1568 }, { "epoch": 98.00104166666667, "grad_norm": 5.149336338043213, "learning_rate": 1.0127314814814816e-05, "loss": 0.8236, "step": 1570 }, { "epoch": 98.00625, "grad_norm": 8.144251823425293, "learning_rate": 9.837962962962964e-06, "loss": 0.6561, "step": 1580 }, { "epoch": 98.00833333333334, "eval_accuracy": 0.5426136363636364, "eval_loss": 1.9337557554244995, "eval_runtime": 133.1537, "eval_samples_per_second": 10.574, "eval_steps_per_second": 0.165, "step": 1584 }, { "epoch": 99.003125, "grad_norm": 5.338318347930908, "learning_rate": 9.548611111111111e-06, "loss": 0.778, "step": 1590 }, { "epoch": 99.00833333333334, "grad_norm": 15.469060897827148, "learning_rate": 9.259259259259259e-06, "loss": 0.7423, "step": 1600 }, { "epoch": 99.00833333333334, "eval_accuracy": 0.5539772727272727, "eval_loss": 1.901895523071289, "eval_runtime": 131.3276, "eval_samples_per_second": 10.721, "eval_steps_per_second": 0.168, "step": 1600 }, { "epoch": 100.00520833333333, "grad_norm": 4.922194957733154, "learning_rate": 8.969907407407407e-06, "loss": 0.7739, "step": 1610 }, { "epoch": 100.00833333333334, "eval_accuracy": 0.5504261363636364, "eval_loss": 1.916474461555481, "eval_runtime": 124.6426, "eval_samples_per_second": 11.296, "eval_steps_per_second": 0.177, "step": 1616 }, { "epoch": 101.00208333333333, "grad_norm": 7.351630210876465, "learning_rate": 8.680555555555556e-06, "loss": 0.6743, "step": 1620 }, { "epoch": 101.00729166666666, "grad_norm": 5.356750965118408, "learning_rate": 8.391203703703704e-06, "loss": 0.6562, "step": 1630 }, { "epoch": 101.00833333333334, "eval_accuracy": 0.5433238636363636, "eval_loss": 1.9271347522735596, "eval_runtime": 121.1594, "eval_samples_per_second": 11.621, "eval_steps_per_second": 0.182, "step": 1632 }, { "epoch": 102.00416666666666, "grad_norm": 6.858729839324951, "learning_rate": 8.101851851851852e-06, "loss": 0.7182, "step": 1640 }, { "epoch": 102.00833333333334, "eval_accuracy": 0.5440340909090909, "eval_loss": 1.9096194505691528, "eval_runtime": 133.4895, "eval_samples_per_second": 10.548, "eval_steps_per_second": 0.165, "step": 1648 }, { "epoch": 103.00104166666667, "grad_norm": 6.165463924407959, "learning_rate": 7.8125e-06, "loss": 0.75, "step": 1650 }, { "epoch": 103.00625, "grad_norm": 7.791365623474121, "learning_rate": 7.523148148148148e-06, "loss": 0.6898, "step": 1660 }, { "epoch": 103.00833333333334, "eval_accuracy": 0.5482954545454546, "eval_loss": 1.9213480949401855, "eval_runtime": 121.4191, "eval_samples_per_second": 11.596, "eval_steps_per_second": 0.181, "step": 1664 }, { "epoch": 104.003125, "grad_norm": 7.106443405151367, "learning_rate": 7.2337962962962966e-06, "loss": 0.8279, "step": 1670 }, { "epoch": 104.00833333333334, "grad_norm": 11.49569320678711, "learning_rate": 6.944444444444445e-06, "loss": 0.6541, "step": 1680 }, { "epoch": 104.00833333333334, "eval_accuracy": 0.5433238636363636, "eval_loss": 1.926275372505188, "eval_runtime": 128.2374, "eval_samples_per_second": 10.98, "eval_steps_per_second": 0.172, "step": 1680 }, { "epoch": 105.00520833333333, "grad_norm": 5.9457316398620605, "learning_rate": 6.655092592592593e-06, "loss": 0.7131, "step": 1690 }, { "epoch": 105.00833333333334, "eval_accuracy": 0.546875, "eval_loss": 1.9148098230361938, "eval_runtime": 128.976, "eval_samples_per_second": 10.917, "eval_steps_per_second": 0.171, "step": 1696 }, { "epoch": 106.00208333333333, "grad_norm": 7.0640716552734375, "learning_rate": 6.365740740740741e-06, "loss": 0.7, "step": 1700 }, { "epoch": 106.00729166666666, "grad_norm": 5.8036699295043945, "learning_rate": 6.076388888888889e-06, "loss": 0.7076, "step": 1710 }, { "epoch": 106.00833333333334, "eval_accuracy": 0.5454545454545454, "eval_loss": 1.9192754030227661, "eval_runtime": 128.1384, "eval_samples_per_second": 10.988, "eval_steps_per_second": 0.172, "step": 1712 }, { "epoch": 107.00416666666666, "grad_norm": 6.425831317901611, "learning_rate": 5.787037037037038e-06, "loss": 0.7822, "step": 1720 }, { "epoch": 107.00833333333334, "eval_accuracy": 0.5440340909090909, "eval_loss": 1.916624903678894, "eval_runtime": 128.0714, "eval_samples_per_second": 10.994, "eval_steps_per_second": 0.172, "step": 1728 }, { "epoch": 108.00104166666667, "grad_norm": 5.592070579528809, "learning_rate": 5.497685185185186e-06, "loss": 0.7629, "step": 1730 }, { "epoch": 108.00625, "grad_norm": 6.38240909576416, "learning_rate": 5.208333333333334e-06, "loss": 0.6955, "step": 1740 }, { "epoch": 108.00833333333334, "eval_accuracy": 0.5490056818181818, "eval_loss": 1.9166675806045532, "eval_runtime": 133.0053, "eval_samples_per_second": 10.586, "eval_steps_per_second": 0.165, "step": 1744 }, { "epoch": 109.003125, "grad_norm": 4.68496036529541, "learning_rate": 4.918981481481482e-06, "loss": 0.8267, "step": 1750 }, { "epoch": 109.00833333333334, "grad_norm": 22.761470794677734, "learning_rate": 4.6296296296296296e-06, "loss": 0.6939, "step": 1760 }, { "epoch": 109.00833333333334, "eval_accuracy": 0.5426136363636364, "eval_loss": 1.9129440784454346, "eval_runtime": 123.3598, "eval_samples_per_second": 11.414, "eval_steps_per_second": 0.178, "step": 1760 }, { "epoch": 110.00520833333333, "grad_norm": 6.633167266845703, "learning_rate": 4.340277777777778e-06, "loss": 0.7149, "step": 1770 }, { "epoch": 110.00833333333334, "eval_accuracy": 0.5355113636363636, "eval_loss": 1.9237289428710938, "eval_runtime": 133.1436, "eval_samples_per_second": 10.575, "eval_steps_per_second": 0.165, "step": 1776 }, { "epoch": 111.00208333333333, "grad_norm": 6.027252674102783, "learning_rate": 4.050925925925926e-06, "loss": 0.7654, "step": 1780 }, { "epoch": 111.00729166666666, "grad_norm": 7.40338134765625, "learning_rate": 3.761574074074074e-06, "loss": 0.7341, "step": 1790 }, { "epoch": 111.00833333333334, "eval_accuracy": 0.5433238636363636, "eval_loss": 1.9047017097473145, "eval_runtime": 133.6961, "eval_samples_per_second": 10.531, "eval_steps_per_second": 0.165, "step": 1792 }, { "epoch": 112.00416666666666, "grad_norm": 6.874715328216553, "learning_rate": 3.4722222222222224e-06, "loss": 0.7101, "step": 1800 }, { "epoch": 112.00833333333334, "eval_accuracy": 0.5433238636363636, "eval_loss": 1.9010353088378906, "eval_runtime": 130.9035, "eval_samples_per_second": 10.756, "eval_steps_per_second": 0.168, "step": 1808 }, { "epoch": 113.00104166666667, "grad_norm": 6.984443664550781, "learning_rate": 3.1828703703703706e-06, "loss": 0.6031, "step": 1810 }, { "epoch": 113.00625, "grad_norm": 7.135616302490234, "learning_rate": 2.893518518518519e-06, "loss": 0.764, "step": 1820 }, { "epoch": 113.00833333333334, "eval_accuracy": 0.5454545454545454, "eval_loss": 1.9023563861846924, "eval_runtime": 128.9627, "eval_samples_per_second": 10.918, "eval_steps_per_second": 0.171, "step": 1824 }, { "epoch": 114.003125, "grad_norm": 5.495314121246338, "learning_rate": 2.604166666666667e-06, "loss": 0.7183, "step": 1830 }, { "epoch": 114.00833333333334, "grad_norm": 25.88104248046875, "learning_rate": 2.3148148148148148e-06, "loss": 0.667, "step": 1840 }, { "epoch": 114.00833333333334, "eval_accuracy": 0.5475852272727273, "eval_loss": 1.9040805101394653, "eval_runtime": 132.319, "eval_samples_per_second": 10.641, "eval_steps_per_second": 0.166, "step": 1840 }, { "epoch": 115.00520833333333, "grad_norm": 7.5589280128479, "learning_rate": 2.025462962962963e-06, "loss": 0.7465, "step": 1850 }, { "epoch": 115.00833333333334, "eval_accuracy": 0.5482954545454546, "eval_loss": 1.9005664587020874, "eval_runtime": 129.3051, "eval_samples_per_second": 10.889, "eval_steps_per_second": 0.17, "step": 1856 }, { "epoch": 116.00208333333333, "grad_norm": 8.857230186462402, "learning_rate": 1.7361111111111112e-06, "loss": 0.5929, "step": 1860 }, { "epoch": 116.00729166666666, "grad_norm": 5.749704837799072, "learning_rate": 1.4467592592592594e-06, "loss": 0.6935, "step": 1870 }, { "epoch": 116.00833333333334, "eval_accuracy": 0.5461647727272727, "eval_loss": 1.901587724685669, "eval_runtime": 135.6846, "eval_samples_per_second": 10.377, "eval_steps_per_second": 0.162, "step": 1872 }, { "epoch": 117.00416666666666, "grad_norm": 6.5324883460998535, "learning_rate": 1.1574074074074074e-06, "loss": 0.7306, "step": 1880 }, { "epoch": 117.00833333333334, "eval_accuracy": 0.5482954545454546, "eval_loss": 1.9008712768554688, "eval_runtime": 123.3184, "eval_samples_per_second": 11.418, "eval_steps_per_second": 0.178, "step": 1888 }, { "epoch": 118.00104166666667, "grad_norm": 6.570457458496094, "learning_rate": 8.680555555555556e-07, "loss": 0.6663, "step": 1890 }, { "epoch": 118.00625, "grad_norm": 4.956265449523926, "learning_rate": 5.787037037037037e-07, "loss": 0.6578, "step": 1900 }, { "epoch": 118.00833333333334, "eval_accuracy": 0.5482954545454546, "eval_loss": 1.9007748365402222, "eval_runtime": 136.6271, "eval_samples_per_second": 10.305, "eval_steps_per_second": 0.161, "step": 1904 }, { "epoch": 119.003125, "grad_norm": 7.002548694610596, "learning_rate": 2.8935185185185185e-07, "loss": 0.6235, "step": 1910 }, { "epoch": 119.00833333333334, "grad_norm": 2.7440524101257324, "learning_rate": 0.0, "loss": 0.6427, "step": 1920 }, { "epoch": 119.00833333333334, "eval_accuracy": 0.5504261363636364, "eval_loss": 1.9013855457305908, "eval_runtime": 128.5584, "eval_samples_per_second": 10.952, "eval_steps_per_second": 0.171, "step": 1920 }, { "epoch": 119.00833333333334, "step": 1920, "total_flos": 1.4452753827235627e+20, "train_loss": 1.5160956154266994, "train_runtime": 26874.3406, "train_samples_per_second": 4.572, "train_steps_per_second": 0.071 }, { "epoch": 119.00833333333334, "eval_accuracy": 0.5539772727272727, "eval_loss": 1.901895523071289, "eval_runtime": 137.4484, "eval_samples_per_second": 10.244, "eval_steps_per_second": 0.16, "step": 1920 }, { "epoch": 119.00833333333334, "eval_accuracy": 0.5539772727272727, "eval_loss": 1.9018956422805786, "eval_runtime": 133.7632, "eval_samples_per_second": 10.526, "eval_steps_per_second": 0.164, "step": 1920 } ], "logging_steps": 10, "max_steps": 1920, "num_input_tokens_seen": 0, "num_train_epochs": 9223372036854775807, "save_steps": 500, "stateful_callbacks": { "TrainerControl": { "args": { "should_epoch_stop": false, "should_evaluate": false, "should_log": false, "should_save": true, "should_training_stop": true }, "attributes": {} } }, "total_flos": 1.4452753827235627e+20, "train_batch_size": 64, "trial_name": null, "trial_params": null }