{ "best_metric": 0.4305761158466339, "best_model_checkpoint": "./vit-base-beans/checkpoint-2680", "epoch": 1.9734904270986746, "global_step": 2680, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.01, "learning_rate": 0.00019926362297496318, "loss": 2.073, "step": 10 }, { "epoch": 0.01, "learning_rate": 0.00019852724594992638, "loss": 1.5903, "step": 20 }, { "epoch": 0.02, "learning_rate": 0.00019779086892488955, "loss": 1.4651, "step": 30 }, { "epoch": 0.03, "learning_rate": 0.00019705449189985275, "loss": 1.2028, "step": 40 }, { "epoch": 0.03, "eval_accuracy": 0.5852670349907919, "eval_loss": 1.2089080810546875, "eval_runtime": 48.3873, "eval_samples_per_second": 56.11, "eval_steps_per_second": 7.027, "step": 40 }, { "epoch": 0.04, "learning_rate": 0.00019631811487481592, "loss": 1.1103, "step": 50 }, { "epoch": 0.04, "learning_rate": 0.0001955817378497791, "loss": 1.2374, "step": 60 }, { "epoch": 0.05, "learning_rate": 0.00019484536082474229, "loss": 1.1704, "step": 70 }, { "epoch": 0.06, "learning_rate": 0.00019410898379970546, "loss": 1.0396, "step": 80 }, { "epoch": 0.06, "eval_accuracy": 0.6504604051565378, "eval_loss": 1.0024482011795044, "eval_runtime": 49.385, "eval_samples_per_second": 54.976, "eval_steps_per_second": 6.885, "step": 80 }, { "epoch": 0.07, "learning_rate": 0.00019337260677466863, "loss": 0.9898, "step": 90 }, { "epoch": 0.07, "learning_rate": 0.00019263622974963183, "loss": 0.9049, "step": 100 }, { "epoch": 0.08, "learning_rate": 0.000191899852724595, "loss": 1.0411, "step": 110 }, { "epoch": 0.09, "learning_rate": 0.0001911634756995582, "loss": 1.031, "step": 120 }, { "epoch": 0.09, "eval_accuracy": 0.6088397790055249, "eval_loss": 1.0570313930511475, "eval_runtime": 52.8083, "eval_samples_per_second": 51.412, "eval_steps_per_second": 6.438, "step": 120 }, { "epoch": 0.1, "learning_rate": 0.00019042709867452136, "loss": 0.9189, "step": 130 }, { "epoch": 0.1, "learning_rate": 0.00018969072164948454, "loss": 1.0785, "step": 140 }, { "epoch": 0.11, "learning_rate": 0.00018895434462444773, "loss": 0.9283, "step": 150 }, { "epoch": 0.12, "learning_rate": 0.0001882179675994109, "loss": 0.94, "step": 160 }, { "epoch": 0.12, "eval_accuracy": 0.6386740331491713, "eval_loss": 0.9433544278144836, "eval_runtime": 51.6666, "eval_samples_per_second": 52.548, "eval_steps_per_second": 6.581, "step": 160 }, { "epoch": 0.13, "learning_rate": 0.00018748159057437408, "loss": 1.0078, "step": 170 }, { "epoch": 0.13, "learning_rate": 0.00018674521354933727, "loss": 0.9582, "step": 180 }, { "epoch": 0.14, "learning_rate": 0.00018600883652430044, "loss": 0.9966, "step": 190 }, { "epoch": 0.15, "learning_rate": 0.00018527245949926364, "loss": 0.8435, "step": 200 }, { "epoch": 0.15, "eval_accuracy": 0.69097605893186, "eval_loss": 0.8427824378013611, "eval_runtime": 51.4559, "eval_samples_per_second": 52.764, "eval_steps_per_second": 6.608, "step": 200 }, { "epoch": 0.15, "learning_rate": 0.0001845360824742268, "loss": 0.7854, "step": 210 }, { "epoch": 0.16, "learning_rate": 0.00018379970544918998, "loss": 0.9786, "step": 220 }, { "epoch": 0.17, "learning_rate": 0.00018306332842415318, "loss": 0.736, "step": 230 }, { "epoch": 0.18, "learning_rate": 0.00018232695139911635, "loss": 0.851, "step": 240 }, { "epoch": 0.18, "eval_accuracy": 0.6504604051565378, "eval_loss": 0.9459872841835022, "eval_runtime": 51.2583, "eval_samples_per_second": 52.967, "eval_steps_per_second": 6.633, "step": 240 }, { "epoch": 0.18, "learning_rate": 0.00018159057437407955, "loss": 0.9344, "step": 250 }, { "epoch": 0.19, "learning_rate": 0.00018085419734904272, "loss": 0.8802, "step": 260 }, { "epoch": 0.2, "learning_rate": 0.0001801178203240059, "loss": 0.772, "step": 270 }, { "epoch": 0.21, "learning_rate": 0.0001793814432989691, "loss": 0.9324, "step": 280 }, { "epoch": 0.21, "eval_accuracy": 0.6593001841620626, "eval_loss": 0.9168590903282166, "eval_runtime": 52.8324, "eval_samples_per_second": 51.389, "eval_steps_per_second": 6.435, "step": 280 }, { "epoch": 0.21, "learning_rate": 0.00017864506627393226, "loss": 0.6804, "step": 290 }, { "epoch": 0.22, "learning_rate": 0.00017790868924889543, "loss": 0.7877, "step": 300 }, { "epoch": 0.23, "learning_rate": 0.00017717231222385863, "loss": 0.9609, "step": 310 }, { "epoch": 0.24, "learning_rate": 0.0001764359351988218, "loss": 0.8963, "step": 320 }, { "epoch": 0.24, "eval_accuracy": 0.7016574585635359, "eval_loss": 0.7979860901832581, "eval_runtime": 50.8385, "eval_samples_per_second": 53.404, "eval_steps_per_second": 6.688, "step": 320 }, { "epoch": 0.24, "learning_rate": 0.000175699558173785, "loss": 0.8531, "step": 330 }, { "epoch": 0.25, "learning_rate": 0.00017496318114874817, "loss": 0.899, "step": 340 }, { "epoch": 0.26, "learning_rate": 0.00017422680412371134, "loss": 0.816, "step": 350 }, { "epoch": 0.27, "learning_rate": 0.00017349042709867454, "loss": 0.7532, "step": 360 }, { "epoch": 0.27, "eval_accuracy": 0.7031307550644568, "eval_loss": 0.8063194155693054, "eval_runtime": 50.4103, "eval_samples_per_second": 53.858, "eval_steps_per_second": 6.745, "step": 360 }, { "epoch": 0.27, "learning_rate": 0.0001727540500736377, "loss": 0.8984, "step": 370 }, { "epoch": 0.28, "learning_rate": 0.0001720176730486009, "loss": 0.843, "step": 380 }, { "epoch": 0.29, "learning_rate": 0.00017128129602356408, "loss": 0.7647, "step": 390 }, { "epoch": 0.29, "learning_rate": 0.00017054491899852725, "loss": 0.7937, "step": 400 }, { "epoch": 0.29, "eval_accuracy": 0.7222836095764272, "eval_loss": 0.7624691724777222, "eval_runtime": 51.1567, "eval_samples_per_second": 53.072, "eval_steps_per_second": 6.646, "step": 400 }, { "epoch": 0.3, "learning_rate": 0.00016980854197349044, "loss": 0.9007, "step": 410 }, { "epoch": 0.31, "learning_rate": 0.00016907216494845361, "loss": 0.7149, "step": 420 }, { "epoch": 0.32, "learning_rate": 0.00016833578792341679, "loss": 0.8868, "step": 430 }, { "epoch": 0.32, "learning_rate": 0.00016759941089837998, "loss": 0.8365, "step": 440 }, { "epoch": 0.32, "eval_accuracy": 0.7134438305709024, "eval_loss": 0.7824127078056335, "eval_runtime": 50.4947, "eval_samples_per_second": 53.768, "eval_steps_per_second": 6.733, "step": 440 }, { "epoch": 0.33, "learning_rate": 0.00016686303387334315, "loss": 0.7985, "step": 450 }, { "epoch": 0.34, "learning_rate": 0.00016612665684830635, "loss": 0.775, "step": 460 }, { "epoch": 0.35, "learning_rate": 0.00016539027982326952, "loss": 0.7912, "step": 470 }, { "epoch": 0.35, "learning_rate": 0.0001646539027982327, "loss": 0.8333, "step": 480 }, { "epoch": 0.35, "eval_accuracy": 0.7263351749539595, "eval_loss": 0.7473925948143005, "eval_runtime": 51.4866, "eval_samples_per_second": 52.732, "eval_steps_per_second": 6.604, "step": 480 }, { "epoch": 0.36, "learning_rate": 0.0001639175257731959, "loss": 0.8501, "step": 490 }, { "epoch": 0.37, "learning_rate": 0.00016318114874815906, "loss": 0.6558, "step": 500 }, { "epoch": 0.38, "learning_rate": 0.00016244477172312223, "loss": 0.5491, "step": 510 }, { "epoch": 0.38, "learning_rate": 0.00016170839469808543, "loss": 0.6784, "step": 520 }, { "epoch": 0.38, "eval_accuracy": 0.7351749539594844, "eval_loss": 0.7210445404052734, "eval_runtime": 51.0697, "eval_samples_per_second": 53.163, "eval_steps_per_second": 6.658, "step": 520 }, { "epoch": 0.39, "learning_rate": 0.0001609720176730486, "loss": 0.6781, "step": 530 }, { "epoch": 0.4, "learning_rate": 0.0001602356406480118, "loss": 0.7243, "step": 540 }, { "epoch": 0.41, "learning_rate": 0.00015949926362297497, "loss": 0.664, "step": 550 }, { "epoch": 0.41, "learning_rate": 0.00015876288659793814, "loss": 0.7103, "step": 560 }, { "epoch": 0.41, "eval_accuracy": 0.7204419889502762, "eval_loss": 0.7556896805763245, "eval_runtime": 51.9028, "eval_samples_per_second": 52.309, "eval_steps_per_second": 6.551, "step": 560 }, { "epoch": 0.42, "learning_rate": 0.00015802650957290134, "loss": 0.7232, "step": 570 }, { "epoch": 0.43, "learning_rate": 0.0001572901325478645, "loss": 0.7658, "step": 580 }, { "epoch": 0.43, "learning_rate": 0.0001565537555228277, "loss": 0.7853, "step": 590 }, { "epoch": 0.44, "learning_rate": 0.00015581737849779088, "loss": 0.6149, "step": 600 }, { "epoch": 0.44, "eval_accuracy": 0.7484346224677716, "eval_loss": 0.6908882260322571, "eval_runtime": 50.7606, "eval_samples_per_second": 53.486, "eval_steps_per_second": 6.698, "step": 600 }, { "epoch": 0.45, "learning_rate": 0.00015508100147275405, "loss": 0.7379, "step": 610 }, { "epoch": 0.46, "learning_rate": 0.00015434462444771725, "loss": 0.7758, "step": 620 }, { "epoch": 0.46, "learning_rate": 0.00015360824742268042, "loss": 0.6333, "step": 630 }, { "epoch": 0.47, "learning_rate": 0.0001528718703976436, "loss": 0.5998, "step": 640 }, { "epoch": 0.47, "eval_accuracy": 0.7322283609576428, "eval_loss": 0.7079024314880371, "eval_runtime": 50.4304, "eval_samples_per_second": 53.837, "eval_steps_per_second": 6.742, "step": 640 }, { "epoch": 0.48, "learning_rate": 0.00015213549337260679, "loss": 0.6485, "step": 650 }, { "epoch": 0.49, "learning_rate": 0.00015139911634756996, "loss": 0.8297, "step": 660 }, { "epoch": 0.49, "learning_rate": 0.00015066273932253315, "loss": 0.8158, "step": 670 }, { "epoch": 0.5, "learning_rate": 0.00014992636229749633, "loss": 0.8814, "step": 680 }, { "epoch": 0.5, "eval_accuracy": 0.6744014732965009, "eval_loss": 0.922738254070282, "eval_runtime": 50.6437, "eval_samples_per_second": 53.61, "eval_steps_per_second": 6.714, "step": 680 }, { "epoch": 0.51, "learning_rate": 0.0001491899852724595, "loss": 0.764, "step": 690 }, { "epoch": 0.52, "learning_rate": 0.0001484536082474227, "loss": 0.6825, "step": 700 }, { "epoch": 0.52, "learning_rate": 0.00014771723122238586, "loss": 0.6629, "step": 710 }, { "epoch": 0.53, "learning_rate": 0.00014698085419734906, "loss": 0.7405, "step": 720 }, { "epoch": 0.53, "eval_accuracy": 0.7454880294659301, "eval_loss": 0.6923764944076538, "eval_runtime": 50.452, "eval_samples_per_second": 53.814, "eval_steps_per_second": 6.739, "step": 720 }, { "epoch": 0.54, "learning_rate": 0.00014624447717231223, "loss": 0.8144, "step": 730 }, { "epoch": 0.54, "learning_rate": 0.0001455081001472754, "loss": 0.5245, "step": 740 }, { "epoch": 0.55, "learning_rate": 0.0001447717231222386, "loss": 0.7705, "step": 750 }, { "epoch": 0.56, "learning_rate": 0.00014403534609720177, "loss": 0.7463, "step": 760 }, { "epoch": 0.56, "eval_accuracy": 0.7182320441988951, "eval_loss": 0.7563807368278503, "eval_runtime": 50.5699, "eval_samples_per_second": 53.688, "eval_steps_per_second": 6.723, "step": 760 }, { "epoch": 0.57, "learning_rate": 0.00014329896907216494, "loss": 0.7648, "step": 770 }, { "epoch": 0.57, "learning_rate": 0.00014256259204712814, "loss": 0.6192, "step": 780 }, { "epoch": 0.58, "learning_rate": 0.0001418262150220913, "loss": 0.872, "step": 790 }, { "epoch": 0.59, "learning_rate": 0.0001410898379970545, "loss": 0.684, "step": 800 }, { "epoch": 0.59, "eval_accuracy": 0.7337016574585635, "eval_loss": 0.7226435542106628, "eval_runtime": 50.2491, "eval_samples_per_second": 54.031, "eval_steps_per_second": 6.766, "step": 800 }, { "epoch": 0.6, "learning_rate": 0.00014035346097201768, "loss": 0.7713, "step": 810 }, { "epoch": 0.6, "learning_rate": 0.00013961708394698085, "loss": 0.6673, "step": 820 }, { "epoch": 0.61, "learning_rate": 0.00013888070692194405, "loss": 0.6792, "step": 830 }, { "epoch": 0.62, "learning_rate": 0.00013814432989690722, "loss": 0.6252, "step": 840 }, { "epoch": 0.62, "eval_accuracy": 0.7524861878453039, "eval_loss": 0.7024006247520447, "eval_runtime": 50.1454, "eval_samples_per_second": 54.143, "eval_steps_per_second": 6.78, "step": 840 }, { "epoch": 0.63, "learning_rate": 0.0001374079528718704, "loss": 0.7425, "step": 850 }, { "epoch": 0.63, "learning_rate": 0.0001366715758468336, "loss": 0.7285, "step": 860 }, { "epoch": 0.64, "learning_rate": 0.00013593519882179676, "loss": 0.7498, "step": 870 }, { "epoch": 0.65, "learning_rate": 0.00013519882179675996, "loss": 0.754, "step": 880 }, { "epoch": 0.65, "eval_accuracy": 0.7274401473296501, "eval_loss": 0.6939438581466675, "eval_runtime": 51.2872, "eval_samples_per_second": 52.937, "eval_steps_per_second": 6.629, "step": 880 }, { "epoch": 0.66, "learning_rate": 0.00013446244477172313, "loss": 0.6756, "step": 890 }, { "epoch": 0.66, "learning_rate": 0.0001337260677466863, "loss": 0.636, "step": 900 }, { "epoch": 0.67, "learning_rate": 0.0001329896907216495, "loss": 0.5823, "step": 910 }, { "epoch": 0.68, "learning_rate": 0.00013225331369661267, "loss": 0.6416, "step": 920 }, { "epoch": 0.68, "eval_accuracy": 0.7565377532228361, "eval_loss": 0.6688955426216125, "eval_runtime": 51.1119, "eval_samples_per_second": 53.119, "eval_steps_per_second": 6.652, "step": 920 }, { "epoch": 0.68, "learning_rate": 0.00013151693667157587, "loss": 0.6125, "step": 930 }, { "epoch": 0.69, "learning_rate": 0.00013078055964653904, "loss": 0.687, "step": 940 }, { "epoch": 0.7, "learning_rate": 0.0001300441826215022, "loss": 0.7283, "step": 950 }, { "epoch": 0.71, "learning_rate": 0.0001293078055964654, "loss": 0.7123, "step": 960 }, { "epoch": 0.71, "eval_accuracy": 0.7558011049723757, "eval_loss": 0.6540634632110596, "eval_runtime": 50.4305, "eval_samples_per_second": 53.836, "eval_steps_per_second": 6.742, "step": 960 }, { "epoch": 0.71, "learning_rate": 0.00012857142857142858, "loss": 0.6579, "step": 970 }, { "epoch": 0.72, "learning_rate": 0.00012783505154639175, "loss": 0.6744, "step": 980 }, { "epoch": 0.73, "learning_rate": 0.00012709867452135494, "loss": 0.619, "step": 990 }, { "epoch": 0.74, "learning_rate": 0.00012636229749631812, "loss": 0.6599, "step": 1000 }, { "epoch": 0.74, "eval_accuracy": 0.7683241252302025, "eval_loss": 0.6279534101486206, "eval_runtime": 50.5314, "eval_samples_per_second": 53.729, "eval_steps_per_second": 6.728, "step": 1000 }, { "epoch": 0.74, "learning_rate": 0.0001256259204712813, "loss": 0.5407, "step": 1010 }, { "epoch": 0.75, "learning_rate": 0.00012488954344624448, "loss": 0.7339, "step": 1020 }, { "epoch": 0.76, "learning_rate": 0.00012415316642120765, "loss": 0.65, "step": 1030 }, { "epoch": 0.77, "learning_rate": 0.00012341678939617085, "loss": 0.7664, "step": 1040 }, { "epoch": 0.77, "eval_accuracy": 0.7521178637200736, "eval_loss": 0.6760364770889282, "eval_runtime": 51.3273, "eval_samples_per_second": 52.896, "eval_steps_per_second": 6.624, "step": 1040 }, { "epoch": 0.77, "learning_rate": 0.00012268041237113402, "loss": 0.667, "step": 1050 }, { "epoch": 0.78, "learning_rate": 0.00012194403534609722, "loss": 0.6393, "step": 1060 }, { "epoch": 0.79, "learning_rate": 0.00012120765832106038, "loss": 0.7258, "step": 1070 }, { "epoch": 0.8, "learning_rate": 0.00012047128129602356, "loss": 0.6898, "step": 1080 }, { "epoch": 0.8, "eval_accuracy": 0.7815837937384899, "eval_loss": 0.6094613075256348, "eval_runtime": 50.3809, "eval_samples_per_second": 53.89, "eval_steps_per_second": 6.749, "step": 1080 }, { "epoch": 0.8, "learning_rate": 0.00011973490427098675, "loss": 0.6158, "step": 1090 }, { "epoch": 0.81, "learning_rate": 0.00011899852724594993, "loss": 0.5764, "step": 1100 }, { "epoch": 0.82, "learning_rate": 0.00011826215022091312, "loss": 0.6926, "step": 1110 }, { "epoch": 0.82, "learning_rate": 0.0001175257731958763, "loss": 0.693, "step": 1120 }, { "epoch": 0.82, "eval_accuracy": 0.7543278084714549, "eval_loss": 0.6533992290496826, "eval_runtime": 51.5963, "eval_samples_per_second": 52.62, "eval_steps_per_second": 6.59, "step": 1120 }, { "epoch": 0.83, "learning_rate": 0.00011678939617083948, "loss": 0.7522, "step": 1130 }, { "epoch": 0.84, "learning_rate": 0.00011605301914580267, "loss": 0.451, "step": 1140 }, { "epoch": 0.85, "learning_rate": 0.00011531664212076583, "loss": 0.564, "step": 1150 }, { "epoch": 0.85, "learning_rate": 0.00011458026509572901, "loss": 0.6738, "step": 1160 }, { "epoch": 0.85, "eval_accuracy": 0.7826887661141805, "eval_loss": 0.6036040186882019, "eval_runtime": 50.9403, "eval_samples_per_second": 53.298, "eval_steps_per_second": 6.674, "step": 1160 }, { "epoch": 0.86, "learning_rate": 0.0001138438880706922, "loss": 0.6272, "step": 1170 }, { "epoch": 0.87, "learning_rate": 0.00011310751104565538, "loss": 0.5538, "step": 1180 }, { "epoch": 0.88, "learning_rate": 0.00011237113402061856, "loss": 0.555, "step": 1190 }, { "epoch": 0.88, "learning_rate": 0.00011163475699558175, "loss": 0.6056, "step": 1200 }, { "epoch": 0.88, "eval_accuracy": 0.7874769797421731, "eval_loss": 0.584153950214386, "eval_runtime": 51.1472, "eval_samples_per_second": 53.082, "eval_steps_per_second": 6.647, "step": 1200 }, { "epoch": 0.89, "learning_rate": 0.00011089837997054493, "loss": 0.5609, "step": 1210 }, { "epoch": 0.9, "learning_rate": 0.00011016200294550812, "loss": 0.6141, "step": 1220 }, { "epoch": 0.91, "learning_rate": 0.0001094256259204713, "loss": 0.6212, "step": 1230 }, { "epoch": 0.91, "learning_rate": 0.00010868924889543446, "loss": 0.746, "step": 1240 }, { "epoch": 0.91, "eval_accuracy": 0.7675874769797422, "eval_loss": 0.6469867825508118, "eval_runtime": 50.9954, "eval_samples_per_second": 53.24, "eval_steps_per_second": 6.667, "step": 1240 }, { "epoch": 0.92, "learning_rate": 0.00010795287187039764, "loss": 0.5153, "step": 1250 }, { "epoch": 0.93, "learning_rate": 0.00010721649484536083, "loss": 0.6638, "step": 1260 }, { "epoch": 0.94, "learning_rate": 0.00010648011782032401, "loss": 0.6719, "step": 1270 }, { "epoch": 0.94, "learning_rate": 0.0001057437407952872, "loss": 0.7612, "step": 1280 }, { "epoch": 0.94, "eval_accuracy": 0.7797421731123388, "eval_loss": 0.613595724105835, "eval_runtime": 51.0708, "eval_samples_per_second": 53.161, "eval_steps_per_second": 6.657, "step": 1280 }, { "epoch": 0.95, "learning_rate": 0.00010500736377025038, "loss": 0.6873, "step": 1290 }, { "epoch": 0.96, "learning_rate": 0.00010427098674521356, "loss": 0.5534, "step": 1300 }, { "epoch": 0.96, "learning_rate": 0.00010353460972017675, "loss": 0.3849, "step": 1310 }, { "epoch": 0.97, "learning_rate": 0.0001027982326951399, "loss": 0.5939, "step": 1320 }, { "epoch": 0.97, "eval_accuracy": 0.7952117863720074, "eval_loss": 0.5709212422370911, "eval_runtime": 52.4056, "eval_samples_per_second": 51.807, "eval_steps_per_second": 6.488, "step": 1320 }, { "epoch": 0.98, "learning_rate": 0.00010206185567010309, "loss": 0.5831, "step": 1330 }, { "epoch": 0.99, "learning_rate": 0.00010132547864506627, "loss": 0.6712, "step": 1340 }, { "epoch": 0.99, "learning_rate": 0.00010058910162002946, "loss": 0.5368, "step": 1350 }, { "epoch": 1.0, "learning_rate": 9.985272459499264e-05, "loss": 0.5586, "step": 1360 }, { "epoch": 1.0, "eval_accuracy": 0.7701657458563536, "eval_loss": 0.6024866104125977, "eval_runtime": 50.9747, "eval_samples_per_second": 53.262, "eval_steps_per_second": 6.67, "step": 1360 }, { "epoch": 1.01, "learning_rate": 9.911634756995583e-05, "loss": 0.4372, "step": 1370 }, { "epoch": 1.02, "learning_rate": 9.8379970544919e-05, "loss": 0.4076, "step": 1380 }, { "epoch": 1.02, "learning_rate": 9.764359351988218e-05, "loss": 0.3933, "step": 1390 }, { "epoch": 1.03, "learning_rate": 9.690721649484537e-05, "loss": 0.459, "step": 1400 }, { "epoch": 1.03, "eval_accuracy": 0.7675874769797422, "eval_loss": 0.6382798552513123, "eval_runtime": 51.4385, "eval_samples_per_second": 52.782, "eval_steps_per_second": 6.61, "step": 1400 }, { "epoch": 1.04, "learning_rate": 9.617083946980855e-05, "loss": 0.3769, "step": 1410 }, { "epoch": 1.05, "learning_rate": 9.543446244477173e-05, "loss": 0.411, "step": 1420 }, { "epoch": 1.05, "learning_rate": 9.46980854197349e-05, "loss": 0.4444, "step": 1430 }, { "epoch": 1.06, "learning_rate": 9.396170839469809e-05, "loss": 0.3771, "step": 1440 }, { "epoch": 1.06, "eval_accuracy": 0.7856353591160221, "eval_loss": 0.5789190530776978, "eval_runtime": 50.7253, "eval_samples_per_second": 53.524, "eval_steps_per_second": 6.703, "step": 1440 }, { "epoch": 1.07, "learning_rate": 9.322533136966127e-05, "loss": 0.3943, "step": 1450 }, { "epoch": 1.08, "learning_rate": 9.248895434462446e-05, "loss": 0.5164, "step": 1460 }, { "epoch": 1.08, "learning_rate": 9.175257731958763e-05, "loss": 0.3544, "step": 1470 }, { "epoch": 1.09, "learning_rate": 9.101620029455081e-05, "loss": 0.4272, "step": 1480 }, { "epoch": 1.09, "eval_accuracy": 0.8044198895027624, "eval_loss": 0.5364444851875305, "eval_runtime": 52.5287, "eval_samples_per_second": 51.686, "eval_steps_per_second": 6.473, "step": 1480 }, { "epoch": 1.1, "learning_rate": 9.0279823269514e-05, "loss": 0.3962, "step": 1490 }, { "epoch": 1.1, "learning_rate": 8.954344624447718e-05, "loss": 0.434, "step": 1500 }, { "epoch": 1.11, "learning_rate": 8.880706921944035e-05, "loss": 0.4332, "step": 1510 }, { "epoch": 1.12, "learning_rate": 8.807069219440354e-05, "loss": 0.3229, "step": 1520 }, { "epoch": 1.12, "eval_accuracy": 0.8044198895027624, "eval_loss": 0.5452917814254761, "eval_runtime": 51.1816, "eval_samples_per_second": 53.046, "eval_steps_per_second": 6.643, "step": 1520 }, { "epoch": 1.13, "learning_rate": 8.733431516936672e-05, "loss": 0.4162, "step": 1530 }, { "epoch": 1.13, "learning_rate": 8.65979381443299e-05, "loss": 0.3704, "step": 1540 }, { "epoch": 1.14, "learning_rate": 8.586156111929308e-05, "loss": 0.6147, "step": 1550 }, { "epoch": 1.15, "learning_rate": 8.512518409425626e-05, "loss": 0.3736, "step": 1560 }, { "epoch": 1.15, "eval_accuracy": 0.8092081031307551, "eval_loss": 0.5403669476509094, "eval_runtime": 50.5773, "eval_samples_per_second": 53.68, "eval_steps_per_second": 6.722, "step": 1560 }, { "epoch": 1.16, "learning_rate": 8.438880706921944e-05, "loss": 0.4865, "step": 1570 }, { "epoch": 1.16, "learning_rate": 8.365243004418263e-05, "loss": 0.3929, "step": 1580 }, { "epoch": 1.17, "learning_rate": 8.291605301914581e-05, "loss": 0.3426, "step": 1590 }, { "epoch": 1.18, "learning_rate": 8.217967599410898e-05, "loss": 0.436, "step": 1600 }, { "epoch": 1.18, "eval_accuracy": 0.8081031307550645, "eval_loss": 0.5359194278717041, "eval_runtime": 51.3206, "eval_samples_per_second": 52.903, "eval_steps_per_second": 6.625, "step": 1600 }, { "epoch": 1.19, "learning_rate": 8.144329896907217e-05, "loss": 0.4115, "step": 1610 }, { "epoch": 1.19, "learning_rate": 8.070692194403535e-05, "loss": 0.3784, "step": 1620 }, { "epoch": 1.2, "learning_rate": 7.997054491899854e-05, "loss": 0.3383, "step": 1630 }, { "epoch": 1.21, "learning_rate": 7.923416789396171e-05, "loss": 0.3721, "step": 1640 }, { "epoch": 1.21, "eval_accuracy": 0.7815837937384899, "eval_loss": 0.6128984689712524, "eval_runtime": 51.0569, "eval_samples_per_second": 53.176, "eval_steps_per_second": 6.659, "step": 1640 }, { "epoch": 1.22, "learning_rate": 7.849779086892489e-05, "loss": 0.4844, "step": 1650 }, { "epoch": 1.22, "learning_rate": 7.776141384388808e-05, "loss": 0.4011, "step": 1660 }, { "epoch": 1.23, "learning_rate": 7.702503681885126e-05, "loss": 0.4711, "step": 1670 }, { "epoch": 1.24, "learning_rate": 7.628865979381443e-05, "loss": 0.3848, "step": 1680 }, { "epoch": 1.24, "eval_accuracy": 0.7985267034990792, "eval_loss": 0.5785150527954102, "eval_runtime": 51.7772, "eval_samples_per_second": 52.436, "eval_steps_per_second": 6.567, "step": 1680 }, { "epoch": 1.24, "learning_rate": 7.555228276877762e-05, "loss": 0.3771, "step": 1690 }, { "epoch": 1.25, "learning_rate": 7.48159057437408e-05, "loss": 0.5486, "step": 1700 }, { "epoch": 1.26, "learning_rate": 7.407952871870398e-05, "loss": 0.3795, "step": 1710 }, { "epoch": 1.27, "learning_rate": 7.334315169366715e-05, "loss": 0.393, "step": 1720 }, { "epoch": 1.27, "eval_accuracy": 0.8047882136279927, "eval_loss": 0.5534458756446838, "eval_runtime": 50.9572, "eval_samples_per_second": 53.28, "eval_steps_per_second": 6.672, "step": 1720 }, { "epoch": 1.27, "learning_rate": 7.260677466863034e-05, "loss": 0.4113, "step": 1730 }, { "epoch": 1.28, "learning_rate": 7.187039764359352e-05, "loss": 0.3919, "step": 1740 }, { "epoch": 1.29, "learning_rate": 7.113402061855671e-05, "loss": 0.5448, "step": 1750 }, { "epoch": 1.3, "learning_rate": 7.039764359351989e-05, "loss": 0.3676, "step": 1760 }, { "epoch": 1.3, "eval_accuracy": 0.7952117863720074, "eval_loss": 0.5770056247711182, "eval_runtime": 50.6386, "eval_samples_per_second": 53.615, "eval_steps_per_second": 6.714, "step": 1760 }, { "epoch": 1.3, "learning_rate": 6.966126656848306e-05, "loss": 0.4213, "step": 1770 }, { "epoch": 1.31, "learning_rate": 6.892488954344625e-05, "loss": 0.5673, "step": 1780 }, { "epoch": 1.32, "learning_rate": 6.818851251840943e-05, "loss": 0.3463, "step": 1790 }, { "epoch": 1.33, "learning_rate": 6.745213549337262e-05, "loss": 0.4531, "step": 1800 }, { "epoch": 1.33, "eval_accuracy": 0.7922651933701658, "eval_loss": 0.5833007097244263, "eval_runtime": 51.1166, "eval_samples_per_second": 53.114, "eval_steps_per_second": 6.651, "step": 1800 }, { "epoch": 1.33, "learning_rate": 6.671575846833579e-05, "loss": 0.3818, "step": 1810 }, { "epoch": 1.34, "learning_rate": 6.597938144329897e-05, "loss": 0.4865, "step": 1820 }, { "epoch": 1.35, "learning_rate": 6.524300441826216e-05, "loss": 0.4752, "step": 1830 }, { "epoch": 1.35, "learning_rate": 6.450662739322534e-05, "loss": 0.4353, "step": 1840 }, { "epoch": 1.35, "eval_accuracy": 0.8136279926335175, "eval_loss": 0.5133872628211975, "eval_runtime": 52.3565, "eval_samples_per_second": 51.856, "eval_steps_per_second": 6.494, "step": 1840 }, { "epoch": 1.36, "learning_rate": 6.377025036818851e-05, "loss": 0.3349, "step": 1850 }, { "epoch": 1.37, "learning_rate": 6.30338733431517e-05, "loss": 0.2902, "step": 1860 }, { "epoch": 1.38, "learning_rate": 6.229749631811488e-05, "loss": 0.5968, "step": 1870 }, { "epoch": 1.38, "learning_rate": 6.156111929307806e-05, "loss": 0.422, "step": 1880 }, { "epoch": 1.38, "eval_accuracy": 0.8106813996316758, "eval_loss": 0.521941065788269, "eval_runtime": 51.8454, "eval_samples_per_second": 52.367, "eval_steps_per_second": 6.558, "step": 1880 }, { "epoch": 1.39, "learning_rate": 6.0824742268041234e-05, "loss": 0.3134, "step": 1890 }, { "epoch": 1.4, "learning_rate": 6.008836524300442e-05, "loss": 0.5106, "step": 1900 }, { "epoch": 1.41, "learning_rate": 5.93519882179676e-05, "loss": 0.3672, "step": 1910 }, { "epoch": 1.41, "learning_rate": 5.861561119293079e-05, "loss": 0.4875, "step": 1920 }, { "epoch": 1.41, "eval_accuracy": 0.823572744014733, "eval_loss": 0.4959632158279419, "eval_runtime": 51.2335, "eval_samples_per_second": 52.993, "eval_steps_per_second": 6.636, "step": 1920 }, { "epoch": 1.42, "learning_rate": 5.787923416789397e-05, "loss": 0.3232, "step": 1930 }, { "epoch": 1.43, "learning_rate": 5.714285714285714e-05, "loss": 0.3946, "step": 1940 }, { "epoch": 1.44, "learning_rate": 5.6406480117820326e-05, "loss": 0.368, "step": 1950 }, { "epoch": 1.44, "learning_rate": 5.567010309278351e-05, "loss": 0.2695, "step": 1960 }, { "epoch": 1.44, "eval_accuracy": 0.8283609576427255, "eval_loss": 0.4938356876373291, "eval_runtime": 51.5366, "eval_samples_per_second": 52.681, "eval_steps_per_second": 6.597, "step": 1960 }, { "epoch": 1.45, "learning_rate": 5.4933726067746695e-05, "loss": 0.3932, "step": 1970 }, { "epoch": 1.46, "learning_rate": 5.4197349042709865e-05, "loss": 0.3572, "step": 1980 }, { "epoch": 1.47, "learning_rate": 5.346097201767305e-05, "loss": 0.5021, "step": 1990 }, { "epoch": 1.47, "learning_rate": 5.2724594992636234e-05, "loss": 0.3038, "step": 2000 }, { "epoch": 1.47, "eval_accuracy": 0.8276243093922652, "eval_loss": 0.48587676882743835, "eval_runtime": 52.2942, "eval_samples_per_second": 51.918, "eval_steps_per_second": 6.502, "step": 2000 }, { "epoch": 1.48, "learning_rate": 5.198821796759942e-05, "loss": 0.3817, "step": 2010 }, { "epoch": 1.49, "learning_rate": 5.125184094256259e-05, "loss": 0.3844, "step": 2020 }, { "epoch": 1.49, "learning_rate": 5.051546391752577e-05, "loss": 0.3217, "step": 2030 }, { "epoch": 1.5, "learning_rate": 4.977908689248896e-05, "loss": 0.4076, "step": 2040 }, { "epoch": 1.5, "eval_accuracy": 0.825414364640884, "eval_loss": 0.4927995204925537, "eval_runtime": 50.7363, "eval_samples_per_second": 53.512, "eval_steps_per_second": 6.701, "step": 2040 }, { "epoch": 1.51, "learning_rate": 4.9042709867452135e-05, "loss": 0.431, "step": 2050 }, { "epoch": 1.52, "learning_rate": 4.830633284241532e-05, "loss": 0.3252, "step": 2060 }, { "epoch": 1.52, "learning_rate": 4.75699558173785e-05, "loss": 0.3145, "step": 2070 }, { "epoch": 1.53, "learning_rate": 4.683357879234168e-05, "loss": 0.4613, "step": 2080 }, { "epoch": 1.53, "eval_accuracy": 0.8338858195211787, "eval_loss": 0.4798433482646942, "eval_runtime": 51.6374, "eval_samples_per_second": 52.578, "eval_steps_per_second": 6.584, "step": 2080 }, { "epoch": 1.54, "learning_rate": 4.6097201767304866e-05, "loss": 0.3371, "step": 2090 }, { "epoch": 1.55, "learning_rate": 4.536082474226804e-05, "loss": 0.5341, "step": 2100 }, { "epoch": 1.55, "learning_rate": 4.462444771723123e-05, "loss": 0.3712, "step": 2110 }, { "epoch": 1.56, "learning_rate": 4.3888070692194405e-05, "loss": 0.3672, "step": 2120 }, { "epoch": 1.56, "eval_accuracy": 0.8331491712707182, "eval_loss": 0.47213244438171387, "eval_runtime": 50.5283, "eval_samples_per_second": 53.732, "eval_steps_per_second": 6.729, "step": 2120 }, { "epoch": 1.57, "learning_rate": 4.315169366715759e-05, "loss": 0.3377, "step": 2130 }, { "epoch": 1.58, "learning_rate": 4.241531664212077e-05, "loss": 0.377, "step": 2140 }, { "epoch": 1.58, "learning_rate": 4.167893961708395e-05, "loss": 0.3033, "step": 2150 }, { "epoch": 1.59, "learning_rate": 4.094256259204713e-05, "loss": 0.4058, "step": 2160 }, { "epoch": 1.59, "eval_accuracy": 0.8320441988950277, "eval_loss": 0.46750709414482117, "eval_runtime": 51.3576, "eval_samples_per_second": 52.865, "eval_steps_per_second": 6.62, "step": 2160 }, { "epoch": 1.6, "learning_rate": 4.020618556701031e-05, "loss": 0.2632, "step": 2170 }, { "epoch": 1.61, "learning_rate": 3.946980854197349e-05, "loss": 0.3504, "step": 2180 }, { "epoch": 1.61, "learning_rate": 3.8733431516936675e-05, "loss": 0.2671, "step": 2190 }, { "epoch": 1.62, "learning_rate": 3.799705449189985e-05, "loss": 0.2954, "step": 2200 }, { "epoch": 1.62, "eval_accuracy": 0.8368324125230202, "eval_loss": 0.45633676648139954, "eval_runtime": 51.1084, "eval_samples_per_second": 53.122, "eval_steps_per_second": 6.653, "step": 2200 }, { "epoch": 1.63, "learning_rate": 3.726067746686304e-05, "loss": 0.3205, "step": 2210 }, { "epoch": 1.63, "learning_rate": 3.6524300441826214e-05, "loss": 0.299, "step": 2220 }, { "epoch": 1.64, "learning_rate": 3.57879234167894e-05, "loss": 0.3119, "step": 2230 }, { "epoch": 1.65, "learning_rate": 3.5051546391752576e-05, "loss": 0.3334, "step": 2240 }, { "epoch": 1.65, "eval_accuracy": 0.8324125230202578, "eval_loss": 0.47254547476768494, "eval_runtime": 50.5237, "eval_samples_per_second": 53.737, "eval_steps_per_second": 6.73, "step": 2240 }, { "epoch": 1.66, "learning_rate": 3.431516936671576e-05, "loss": 0.3469, "step": 2250 }, { "epoch": 1.66, "learning_rate": 3.357879234167894e-05, "loss": 0.2501, "step": 2260 }, { "epoch": 1.67, "learning_rate": 3.284241531664212e-05, "loss": 0.3941, "step": 2270 }, { "epoch": 1.68, "learning_rate": 3.2106038291605307e-05, "loss": 0.3151, "step": 2280 }, { "epoch": 1.68, "eval_accuracy": 0.8342541436464088, "eval_loss": 0.49459975957870483, "eval_runtime": 51.2803, "eval_samples_per_second": 52.944, "eval_steps_per_second": 6.63, "step": 2280 }, { "epoch": 1.69, "learning_rate": 3.1369661266568484e-05, "loss": 0.3946, "step": 2290 }, { "epoch": 1.69, "learning_rate": 3.063328424153167e-05, "loss": 0.3603, "step": 2300 }, { "epoch": 1.7, "learning_rate": 2.9896907216494846e-05, "loss": 0.2634, "step": 2310 }, { "epoch": 1.71, "learning_rate": 2.916053019145803e-05, "loss": 0.3322, "step": 2320 }, { "epoch": 1.71, "eval_accuracy": 0.8401473296500921, "eval_loss": 0.4636726379394531, "eval_runtime": 51.0603, "eval_samples_per_second": 53.172, "eval_steps_per_second": 6.659, "step": 2320 }, { "epoch": 1.72, "learning_rate": 2.8424153166421208e-05, "loss": 0.3206, "step": 2330 }, { "epoch": 1.72, "learning_rate": 2.7687776141384392e-05, "loss": 0.4357, "step": 2340 }, { "epoch": 1.73, "learning_rate": 2.695139911634757e-05, "loss": 0.2878, "step": 2350 }, { "epoch": 1.74, "learning_rate": 2.6215022091310754e-05, "loss": 0.4057, "step": 2360 }, { "epoch": 1.74, "eval_accuracy": 0.8379373848987108, "eval_loss": 0.461891233921051, "eval_runtime": 51.5789, "eval_samples_per_second": 52.638, "eval_steps_per_second": 6.592, "step": 2360 }, { "epoch": 1.75, "learning_rate": 2.547864506627393e-05, "loss": 0.3853, "step": 2370 }, { "epoch": 1.75, "learning_rate": 2.4742268041237116e-05, "loss": 0.3127, "step": 2380 }, { "epoch": 1.76, "learning_rate": 2.4005891016200297e-05, "loss": 0.3005, "step": 2390 }, { "epoch": 1.77, "learning_rate": 2.3269513991163478e-05, "loss": 0.3365, "step": 2400 }, { "epoch": 1.77, "eval_accuracy": 0.8372007366482505, "eval_loss": 0.45343735814094543, "eval_runtime": 52.5929, "eval_samples_per_second": 51.623, "eval_steps_per_second": 6.465, "step": 2400 }, { "epoch": 1.77, "learning_rate": 2.253313696612666e-05, "loss": 0.285, "step": 2410 }, { "epoch": 1.78, "learning_rate": 2.179675994108984e-05, "loss": 0.3114, "step": 2420 }, { "epoch": 1.79, "learning_rate": 2.106038291605302e-05, "loss": 0.321, "step": 2430 }, { "epoch": 1.8, "learning_rate": 2.03240058910162e-05, "loss": 0.2832, "step": 2440 }, { "epoch": 1.8, "eval_accuracy": 0.8397790055248618, "eval_loss": 0.4500523805618286, "eval_runtime": 51.02, "eval_samples_per_second": 53.214, "eval_steps_per_second": 6.664, "step": 2440 }, { "epoch": 1.8, "learning_rate": 1.9587628865979382e-05, "loss": 0.3756, "step": 2450 }, { "epoch": 1.81, "learning_rate": 1.8851251840942563e-05, "loss": 0.2677, "step": 2460 }, { "epoch": 1.82, "learning_rate": 1.8114874815905744e-05, "loss": 0.392, "step": 2470 }, { "epoch": 1.83, "learning_rate": 1.7378497790868925e-05, "loss": 0.2512, "step": 2480 }, { "epoch": 1.83, "eval_accuracy": 0.8427255985267035, "eval_loss": 0.44581884145736694, "eval_runtime": 50.8126, "eval_samples_per_second": 53.432, "eval_steps_per_second": 6.691, "step": 2480 }, { "epoch": 1.83, "learning_rate": 1.6642120765832106e-05, "loss": 0.3217, "step": 2490 }, { "epoch": 1.84, "learning_rate": 1.5905743740795287e-05, "loss": 0.3821, "step": 2500 }, { "epoch": 1.85, "learning_rate": 1.5169366715758468e-05, "loss": 0.2863, "step": 2510 }, { "epoch": 1.86, "learning_rate": 1.4432989690721649e-05, "loss": 0.2347, "step": 2520 }, { "epoch": 1.86, "eval_accuracy": 0.8423572744014733, "eval_loss": 0.44903260469436646, "eval_runtime": 51.8254, "eval_samples_per_second": 52.387, "eval_steps_per_second": 6.56, "step": 2520 }, { "epoch": 1.86, "learning_rate": 1.3696612665684833e-05, "loss": 0.1994, "step": 2530 }, { "epoch": 1.87, "learning_rate": 1.2960235640648014e-05, "loss": 0.2408, "step": 2540 }, { "epoch": 1.88, "learning_rate": 1.2223858615611193e-05, "loss": 0.4364, "step": 2550 }, { "epoch": 1.89, "learning_rate": 1.1487481590574374e-05, "loss": 0.1912, "step": 2560 }, { "epoch": 1.89, "eval_accuracy": 0.8449355432780847, "eval_loss": 0.44017237424850464, "eval_runtime": 51.6194, "eval_samples_per_second": 52.597, "eval_steps_per_second": 6.587, "step": 2560 }, { "epoch": 1.89, "learning_rate": 1.0751104565537557e-05, "loss": 0.3227, "step": 2570 }, { "epoch": 1.9, "learning_rate": 1.0014727540500737e-05, "loss": 0.2769, "step": 2580 }, { "epoch": 1.91, "learning_rate": 9.278350515463918e-06, "loss": 0.2485, "step": 2590 }, { "epoch": 1.91, "learning_rate": 8.5419734904271e-06, "loss": 0.3679, "step": 2600 }, { "epoch": 1.91, "eval_accuracy": 0.8464088397790055, "eval_loss": 0.4389094412326813, "eval_runtime": 50.627, "eval_samples_per_second": 53.628, "eval_steps_per_second": 6.716, "step": 2600 }, { "epoch": 1.92, "learning_rate": 7.80559646539028e-06, "loss": 0.3111, "step": 2610 }, { "epoch": 1.93, "learning_rate": 7.069219440353461e-06, "loss": 0.33, "step": 2620 }, { "epoch": 1.94, "learning_rate": 6.332842415316642e-06, "loss": 0.2817, "step": 2630 }, { "epoch": 1.94, "learning_rate": 5.596465390279824e-06, "loss": 0.2953, "step": 2640 }, { "epoch": 1.94, "eval_accuracy": 0.8515653775322284, "eval_loss": 0.4342978596687317, "eval_runtime": 51.1052, "eval_samples_per_second": 53.126, "eval_steps_per_second": 6.653, "step": 2640 }, { "epoch": 1.95, "learning_rate": 4.860088365243005e-06, "loss": 0.247, "step": 2650 }, { "epoch": 1.96, "learning_rate": 4.123711340206186e-06, "loss": 0.3024, "step": 2660 }, { "epoch": 1.97, "learning_rate": 3.3873343151693666e-06, "loss": 0.2232, "step": 2670 }, { "epoch": 1.97, "learning_rate": 2.650957290132548e-06, "loss": 0.2982, "step": 2680 }, { "epoch": 1.97, "eval_accuracy": 0.8486187845303867, "eval_loss": 0.4305761158466339, "eval_runtime": 51.0559, "eval_samples_per_second": 53.177, "eval_steps_per_second": 6.659, "step": 2680 } ], "max_steps": 2716, "num_train_epochs": 2, "total_flos": 3.322629783093584e+18, "trial_name": null, "trial_params": null }