| { | |
| "best_metric": 0.9842381786339754, | |
| "best_model_checkpoint": "teacher-status-van-tiny-256-2/checkpoint-420", | |
| "epoch": 29.714285714285715, | |
| "eval_steps": 500, | |
| "global_step": 780, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.38, | |
| "learning_rate": 6.41025641025641e-06, | |
| "loss": 0.6928, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.76, | |
| "learning_rate": 1.282051282051282e-05, | |
| "loss": 0.6896, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.99, | |
| "eval_accuracy": 0.7700534759358288, | |
| "eval_f1_score": 0.8700906344410876, | |
| "eval_loss": 0.670672595500946, | |
| "eval_precision": 0.7700534759358288, | |
| "eval_recall": 1.0, | |
| "eval_runtime": 2.6151, | |
| "eval_samples_per_second": 143.014, | |
| "eval_steps_per_second": 4.589, | |
| "step": 26 | |
| }, | |
| { | |
| "epoch": 1.14, | |
| "learning_rate": 1.923076923076923e-05, | |
| "loss": 0.6763, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 1.52, | |
| "learning_rate": 2.564102564102564e-05, | |
| "loss": 0.6376, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 1.9, | |
| "learning_rate": 3.205128205128206e-05, | |
| "loss": 0.5438, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 1.98, | |
| "eval_accuracy": 0.7700534759358288, | |
| "eval_f1_score": 0.8700906344410876, | |
| "eval_loss": 0.43023183941841125, | |
| "eval_precision": 0.7700534759358288, | |
| "eval_recall": 1.0, | |
| "eval_runtime": 2.5825, | |
| "eval_samples_per_second": 144.822, | |
| "eval_steps_per_second": 4.647, | |
| "step": 52 | |
| }, | |
| { | |
| "epoch": 2.29, | |
| "learning_rate": 3.846153846153846e-05, | |
| "loss": 0.4252, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 2.67, | |
| "learning_rate": 4.4871794871794874e-05, | |
| "loss": 0.3756, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 2.97, | |
| "eval_accuracy": 0.8850267379679144, | |
| "eval_f1_score": 0.9284525790349417, | |
| "eval_loss": 0.2762328088283539, | |
| "eval_precision": 0.8913738019169329, | |
| "eval_recall": 0.96875, | |
| "eval_runtime": 2.711, | |
| "eval_samples_per_second": 137.957, | |
| "eval_steps_per_second": 4.426, | |
| "step": 78 | |
| }, | |
| { | |
| "epoch": 3.05, | |
| "learning_rate": 4.985754985754986e-05, | |
| "loss": 0.3572, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 3.43, | |
| "learning_rate": 4.9145299145299147e-05, | |
| "loss": 0.3217, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 3.81, | |
| "learning_rate": 4.8433048433048433e-05, | |
| "loss": 0.3017, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.9224598930481284, | |
| "eval_f1_score": 0.9502572898799314, | |
| "eval_loss": 0.20020952820777893, | |
| "eval_precision": 0.9389830508474576, | |
| "eval_recall": 0.9618055555555556, | |
| "eval_runtime": 2.7006, | |
| "eval_samples_per_second": 138.487, | |
| "eval_steps_per_second": 4.443, | |
| "step": 105 | |
| }, | |
| { | |
| "epoch": 4.19, | |
| "learning_rate": 4.772079772079772e-05, | |
| "loss": 0.2563, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 4.57, | |
| "learning_rate": 4.700854700854701e-05, | |
| "loss": 0.2548, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 4.95, | |
| "learning_rate": 4.62962962962963e-05, | |
| "loss": 0.257, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 4.99, | |
| "eval_accuracy": 0.9385026737967914, | |
| "eval_f1_score": 0.9605488850771869, | |
| "eval_loss": 0.17939455807209015, | |
| "eval_precision": 0.9491525423728814, | |
| "eval_recall": 0.9722222222222222, | |
| "eval_runtime": 2.4102, | |
| "eval_samples_per_second": 155.173, | |
| "eval_steps_per_second": 4.979, | |
| "step": 131 | |
| }, | |
| { | |
| "epoch": 5.33, | |
| "learning_rate": 4.558404558404559e-05, | |
| "loss": 0.2484, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 5.71, | |
| "learning_rate": 4.4871794871794874e-05, | |
| "loss": 0.2345, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 5.98, | |
| "eval_accuracy": 0.9358288770053476, | |
| "eval_f1_score": 0.9581881533101045, | |
| "eval_loss": 0.14852212369441986, | |
| "eval_precision": 0.9615384615384616, | |
| "eval_recall": 0.9548611111111112, | |
| "eval_runtime": 2.3968, | |
| "eval_samples_per_second": 156.039, | |
| "eval_steps_per_second": 5.007, | |
| "step": 157 | |
| }, | |
| { | |
| "epoch": 6.1, | |
| "learning_rate": 4.415954415954416e-05, | |
| "loss": 0.2514, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 6.48, | |
| "learning_rate": 4.344729344729345e-05, | |
| "loss": 0.2179, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 6.86, | |
| "learning_rate": 4.2735042735042735e-05, | |
| "loss": 0.2318, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 6.97, | |
| "eval_accuracy": 0.9438502673796791, | |
| "eval_f1_score": 0.9630931458699472, | |
| "eval_loss": 0.13021136820316315, | |
| "eval_precision": 0.9750889679715302, | |
| "eval_recall": 0.9513888888888888, | |
| "eval_runtime": 2.3767, | |
| "eval_samples_per_second": 157.361, | |
| "eval_steps_per_second": 5.049, | |
| "step": 183 | |
| }, | |
| { | |
| "epoch": 7.24, | |
| "learning_rate": 4.202279202279202e-05, | |
| "loss": 0.2151, | |
| "step": 190 | |
| }, | |
| { | |
| "epoch": 7.62, | |
| "learning_rate": 4.131054131054131e-05, | |
| "loss": 0.2311, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "learning_rate": 4.05982905982906e-05, | |
| "loss": 0.2173, | |
| "step": 210 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.9518716577540107, | |
| "eval_f1_score": 0.9688581314878894, | |
| "eval_loss": 0.12773053348064423, | |
| "eval_precision": 0.9655172413793104, | |
| "eval_recall": 0.9722222222222222, | |
| "eval_runtime": 2.3674, | |
| "eval_samples_per_second": 157.977, | |
| "eval_steps_per_second": 5.069, | |
| "step": 210 | |
| }, | |
| { | |
| "epoch": 8.38, | |
| "learning_rate": 3.988603988603989e-05, | |
| "loss": 0.1934, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 8.76, | |
| "learning_rate": 3.9173789173789176e-05, | |
| "loss": 0.2058, | |
| "step": 230 | |
| }, | |
| { | |
| "epoch": 8.99, | |
| "eval_accuracy": 0.9572192513368984, | |
| "eval_f1_score": 0.9722222222222222, | |
| "eval_loss": 0.1269279271364212, | |
| "eval_precision": 0.9722222222222222, | |
| "eval_recall": 0.9722222222222222, | |
| "eval_runtime": 2.2694, | |
| "eval_samples_per_second": 164.802, | |
| "eval_steps_per_second": 5.288, | |
| "step": 236 | |
| }, | |
| { | |
| "epoch": 9.14, | |
| "learning_rate": 3.846153846153846e-05, | |
| "loss": 0.1959, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 9.52, | |
| "learning_rate": 3.774928774928775e-05, | |
| "loss": 0.2016, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 9.9, | |
| "learning_rate": 3.7037037037037037e-05, | |
| "loss": 0.1955, | |
| "step": 260 | |
| }, | |
| { | |
| "epoch": 9.98, | |
| "eval_accuracy": 0.9572192513368984, | |
| "eval_f1_score": 0.9724137931034483, | |
| "eval_loss": 0.11462008953094482, | |
| "eval_precision": 0.9657534246575342, | |
| "eval_recall": 0.9791666666666666, | |
| "eval_runtime": 2.2006, | |
| "eval_samples_per_second": 169.954, | |
| "eval_steps_per_second": 5.453, | |
| "step": 262 | |
| }, | |
| { | |
| "epoch": 10.29, | |
| "learning_rate": 3.6324786324786323e-05, | |
| "loss": 0.2038, | |
| "step": 270 | |
| }, | |
| { | |
| "epoch": 10.67, | |
| "learning_rate": 3.561253561253561e-05, | |
| "loss": 0.2083, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 10.97, | |
| "eval_accuracy": 0.9652406417112299, | |
| "eval_f1_score": 0.9772329246935202, | |
| "eval_loss": 0.1083158627152443, | |
| "eval_precision": 0.9858657243816255, | |
| "eval_recall": 0.96875, | |
| "eval_runtime": 2.2496, | |
| "eval_samples_per_second": 166.25, | |
| "eval_steps_per_second": 5.334, | |
| "step": 288 | |
| }, | |
| { | |
| "epoch": 11.05, | |
| "learning_rate": 3.4900284900284904e-05, | |
| "loss": 0.2107, | |
| "step": 290 | |
| }, | |
| { | |
| "epoch": 11.43, | |
| "learning_rate": 3.418803418803419e-05, | |
| "loss": 0.1725, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 11.81, | |
| "learning_rate": 3.347578347578348e-05, | |
| "loss": 0.1886, | |
| "step": 310 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "eval_accuracy": 0.9598930481283422, | |
| "eval_f1_score": 0.9740932642487047, | |
| "eval_loss": 0.10481037944555283, | |
| "eval_precision": 0.9690721649484536, | |
| "eval_recall": 0.9791666666666666, | |
| "eval_runtime": 2.1714, | |
| "eval_samples_per_second": 172.242, | |
| "eval_steps_per_second": 5.526, | |
| "step": 315 | |
| }, | |
| { | |
| "epoch": 12.19, | |
| "learning_rate": 3.2763532763532764e-05, | |
| "loss": 0.1703, | |
| "step": 320 | |
| }, | |
| { | |
| "epoch": 12.57, | |
| "learning_rate": 3.205128205128206e-05, | |
| "loss": 0.1817, | |
| "step": 330 | |
| }, | |
| { | |
| "epoch": 12.95, | |
| "learning_rate": 3.133903133903134e-05, | |
| "loss": 0.1618, | |
| "step": 340 | |
| }, | |
| { | |
| "epoch": 12.99, | |
| "eval_accuracy": 0.9625668449197861, | |
| "eval_f1_score": 0.9756944444444444, | |
| "eval_loss": 0.10334747284650803, | |
| "eval_precision": 0.9756944444444444, | |
| "eval_recall": 0.9756944444444444, | |
| "eval_runtime": 2.1514, | |
| "eval_samples_per_second": 173.842, | |
| "eval_steps_per_second": 5.578, | |
| "step": 341 | |
| }, | |
| { | |
| "epoch": 13.33, | |
| "learning_rate": 3.0626780626780625e-05, | |
| "loss": 0.1733, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 13.71, | |
| "learning_rate": 2.9914529914529915e-05, | |
| "loss": 0.1908, | |
| "step": 360 | |
| }, | |
| { | |
| "epoch": 13.98, | |
| "eval_accuracy": 0.9598930481283422, | |
| "eval_f1_score": 0.9739130434782608, | |
| "eval_loss": 0.10439594089984894, | |
| "eval_precision": 0.975609756097561, | |
| "eval_recall": 0.9722222222222222, | |
| "eval_runtime": 2.2063, | |
| "eval_samples_per_second": 169.517, | |
| "eval_steps_per_second": 5.439, | |
| "step": 367 | |
| }, | |
| { | |
| "epoch": 14.1, | |
| "learning_rate": 2.9202279202279202e-05, | |
| "loss": 0.1677, | |
| "step": 370 | |
| }, | |
| { | |
| "epoch": 14.48, | |
| "learning_rate": 2.8490028490028492e-05, | |
| "loss": 0.1641, | |
| "step": 380 | |
| }, | |
| { | |
| "epoch": 14.86, | |
| "learning_rate": 2.777777777777778e-05, | |
| "loss": 0.1594, | |
| "step": 390 | |
| }, | |
| { | |
| "epoch": 14.97, | |
| "eval_accuracy": 0.9625668449197861, | |
| "eval_f1_score": 0.9757785467128027, | |
| "eval_loss": 0.09152617305517197, | |
| "eval_precision": 0.9724137931034482, | |
| "eval_recall": 0.9791666666666666, | |
| "eval_runtime": 2.146, | |
| "eval_samples_per_second": 174.274, | |
| "eval_steps_per_second": 5.592, | |
| "step": 393 | |
| }, | |
| { | |
| "epoch": 15.24, | |
| "learning_rate": 2.706552706552707e-05, | |
| "loss": 0.1621, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 15.62, | |
| "learning_rate": 2.6353276353276356e-05, | |
| "loss": 0.1698, | |
| "step": 410 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "learning_rate": 2.564102564102564e-05, | |
| "loss": 0.1474, | |
| "step": 420 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "eval_accuracy": 0.9759358288770054, | |
| "eval_f1_score": 0.9842381786339754, | |
| "eval_loss": 0.09159436821937561, | |
| "eval_precision": 0.9929328621908127, | |
| "eval_recall": 0.9756944444444444, | |
| "eval_runtime": 2.1573, | |
| "eval_samples_per_second": 173.367, | |
| "eval_steps_per_second": 5.563, | |
| "step": 420 | |
| }, | |
| { | |
| "epoch": 16.38, | |
| "learning_rate": 2.492877492877493e-05, | |
| "loss": 0.1326, | |
| "step": 430 | |
| }, | |
| { | |
| "epoch": 16.76, | |
| "learning_rate": 2.4216524216524217e-05, | |
| "loss": 0.1734, | |
| "step": 440 | |
| }, | |
| { | |
| "epoch": 16.99, | |
| "eval_accuracy": 0.9652406417112299, | |
| "eval_f1_score": 0.9773123909249563, | |
| "eval_loss": 0.09513744711875916, | |
| "eval_precision": 0.9824561403508771, | |
| "eval_recall": 0.9722222222222222, | |
| "eval_runtime": 2.1734, | |
| "eval_samples_per_second": 172.078, | |
| "eval_steps_per_second": 5.521, | |
| "step": 446 | |
| }, | |
| { | |
| "epoch": 17.14, | |
| "learning_rate": 2.3504273504273504e-05, | |
| "loss": 0.1827, | |
| "step": 450 | |
| }, | |
| { | |
| "epoch": 17.52, | |
| "learning_rate": 2.2792022792022794e-05, | |
| "loss": 0.1419, | |
| "step": 460 | |
| }, | |
| { | |
| "epoch": 17.9, | |
| "learning_rate": 2.207977207977208e-05, | |
| "loss": 0.1484, | |
| "step": 470 | |
| }, | |
| { | |
| "epoch": 17.98, | |
| "eval_accuracy": 0.9705882352941176, | |
| "eval_f1_score": 0.9808695652173912, | |
| "eval_loss": 0.10494749993085861, | |
| "eval_precision": 0.9825783972125436, | |
| "eval_recall": 0.9791666666666666, | |
| "eval_runtime": 2.155, | |
| "eval_samples_per_second": 173.55, | |
| "eval_steps_per_second": 5.568, | |
| "step": 472 | |
| }, | |
| { | |
| "epoch": 18.29, | |
| "learning_rate": 2.1367521367521368e-05, | |
| "loss": 0.1515, | |
| "step": 480 | |
| }, | |
| { | |
| "epoch": 18.67, | |
| "learning_rate": 2.0655270655270654e-05, | |
| "loss": 0.1495, | |
| "step": 490 | |
| }, | |
| { | |
| "epoch": 18.97, | |
| "eval_accuracy": 0.9679144385026738, | |
| "eval_f1_score": 0.9790940766550522, | |
| "eval_loss": 0.09304243326187134, | |
| "eval_precision": 0.9825174825174825, | |
| "eval_recall": 0.9756944444444444, | |
| "eval_runtime": 2.1676, | |
| "eval_samples_per_second": 172.538, | |
| "eval_steps_per_second": 5.536, | |
| "step": 498 | |
| }, | |
| { | |
| "epoch": 19.05, | |
| "learning_rate": 1.9943019943019945e-05, | |
| "loss": 0.1525, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 19.43, | |
| "learning_rate": 1.923076923076923e-05, | |
| "loss": 0.1575, | |
| "step": 510 | |
| }, | |
| { | |
| "epoch": 19.81, | |
| "learning_rate": 1.8518518518518518e-05, | |
| "loss": 0.1385, | |
| "step": 520 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "eval_accuracy": 0.9625668449197861, | |
| "eval_f1_score": 0.9758620689655172, | |
| "eval_loss": 0.095456063747406, | |
| "eval_precision": 0.9691780821917808, | |
| "eval_recall": 0.9826388888888888, | |
| "eval_runtime": 2.217, | |
| "eval_samples_per_second": 168.695, | |
| "eval_steps_per_second": 5.413, | |
| "step": 525 | |
| }, | |
| { | |
| "epoch": 20.19, | |
| "learning_rate": 1.7806267806267805e-05, | |
| "loss": 0.139, | |
| "step": 530 | |
| }, | |
| { | |
| "epoch": 20.57, | |
| "learning_rate": 1.7094017094017095e-05, | |
| "loss": 0.1567, | |
| "step": 540 | |
| }, | |
| { | |
| "epoch": 20.95, | |
| "learning_rate": 1.6381766381766382e-05, | |
| "loss": 0.1492, | |
| "step": 550 | |
| }, | |
| { | |
| "epoch": 20.99, | |
| "eval_accuracy": 0.9598930481283422, | |
| "eval_f1_score": 0.9740932642487047, | |
| "eval_loss": 0.09114021807909012, | |
| "eval_precision": 0.9690721649484536, | |
| "eval_recall": 0.9791666666666666, | |
| "eval_runtime": 2.1474, | |
| "eval_samples_per_second": 174.163, | |
| "eval_steps_per_second": 5.588, | |
| "step": 551 | |
| }, | |
| { | |
| "epoch": 21.33, | |
| "learning_rate": 1.566951566951567e-05, | |
| "loss": 0.1664, | |
| "step": 560 | |
| }, | |
| { | |
| "epoch": 21.71, | |
| "learning_rate": 1.4957264957264958e-05, | |
| "loss": 0.1401, | |
| "step": 570 | |
| }, | |
| { | |
| "epoch": 21.98, | |
| "eval_accuracy": 0.9705882352941176, | |
| "eval_f1_score": 0.9808695652173912, | |
| "eval_loss": 0.09274759143590927, | |
| "eval_precision": 0.9825783972125436, | |
| "eval_recall": 0.9791666666666666, | |
| "eval_runtime": 2.1665, | |
| "eval_samples_per_second": 172.63, | |
| "eval_steps_per_second": 5.539, | |
| "step": 577 | |
| }, | |
| { | |
| "epoch": 22.1, | |
| "learning_rate": 1.4245014245014246e-05, | |
| "loss": 0.1538, | |
| "step": 580 | |
| }, | |
| { | |
| "epoch": 22.48, | |
| "learning_rate": 1.3532763532763535e-05, | |
| "loss": 0.1245, | |
| "step": 590 | |
| }, | |
| { | |
| "epoch": 22.86, | |
| "learning_rate": 1.282051282051282e-05, | |
| "loss": 0.1288, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 22.97, | |
| "eval_accuracy": 0.9705882352941176, | |
| "eval_f1_score": 0.9808695652173912, | |
| "eval_loss": 0.09401033818721771, | |
| "eval_precision": 0.9825783972125436, | |
| "eval_recall": 0.9791666666666666, | |
| "eval_runtime": 2.1911, | |
| "eval_samples_per_second": 170.692, | |
| "eval_steps_per_second": 5.477, | |
| "step": 603 | |
| }, | |
| { | |
| "epoch": 23.24, | |
| "learning_rate": 1.2108262108262108e-05, | |
| "loss": 0.1422, | |
| "step": 610 | |
| }, | |
| { | |
| "epoch": 23.62, | |
| "learning_rate": 1.1396011396011397e-05, | |
| "loss": 0.1262, | |
| "step": 620 | |
| }, | |
| { | |
| "epoch": 24.0, | |
| "learning_rate": 1.0683760683760684e-05, | |
| "loss": 0.1304, | |
| "step": 630 | |
| }, | |
| { | |
| "epoch": 24.0, | |
| "eval_accuracy": 0.9652406417112299, | |
| "eval_f1_score": 0.9775474956822107, | |
| "eval_loss": 0.09132420271635056, | |
| "eval_precision": 0.9725085910652921, | |
| "eval_recall": 0.9826388888888888, | |
| "eval_runtime": 2.1685, | |
| "eval_samples_per_second": 172.467, | |
| "eval_steps_per_second": 5.534, | |
| "step": 630 | |
| }, | |
| { | |
| "epoch": 24.38, | |
| "learning_rate": 9.971509971509972e-06, | |
| "loss": 0.1542, | |
| "step": 640 | |
| }, | |
| { | |
| "epoch": 24.76, | |
| "learning_rate": 9.259259259259259e-06, | |
| "loss": 0.14, | |
| "step": 650 | |
| }, | |
| { | |
| "epoch": 24.99, | |
| "eval_accuracy": 0.9652406417112299, | |
| "eval_f1_score": 0.9776247848537005, | |
| "eval_loss": 0.09787322580814362, | |
| "eval_precision": 0.9692832764505119, | |
| "eval_recall": 0.9861111111111112, | |
| "eval_runtime": 2.1719, | |
| "eval_samples_per_second": 172.201, | |
| "eval_steps_per_second": 5.525, | |
| "step": 656 | |
| }, | |
| { | |
| "epoch": 25.14, | |
| "learning_rate": 8.547008547008548e-06, | |
| "loss": 0.1529, | |
| "step": 660 | |
| }, | |
| { | |
| "epoch": 25.52, | |
| "learning_rate": 7.834757834757835e-06, | |
| "loss": 0.1367, | |
| "step": 670 | |
| }, | |
| { | |
| "epoch": 25.9, | |
| "learning_rate": 7.122507122507123e-06, | |
| "loss": 0.1461, | |
| "step": 680 | |
| }, | |
| { | |
| "epoch": 25.98, | |
| "eval_accuracy": 0.9705882352941176, | |
| "eval_f1_score": 0.9810017271157168, | |
| "eval_loss": 0.08736571669578552, | |
| "eval_precision": 0.9759450171821306, | |
| "eval_recall": 0.9861111111111112, | |
| "eval_runtime": 2.1664, | |
| "eval_samples_per_second": 172.637, | |
| "eval_steps_per_second": 5.539, | |
| "step": 682 | |
| }, | |
| { | |
| "epoch": 26.29, | |
| "learning_rate": 6.41025641025641e-06, | |
| "loss": 0.1349, | |
| "step": 690 | |
| }, | |
| { | |
| "epoch": 26.67, | |
| "learning_rate": 5.6980056980056985e-06, | |
| "loss": 0.1429, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 26.97, | |
| "eval_accuracy": 0.9705882352941176, | |
| "eval_f1_score": 0.9808027923211169, | |
| "eval_loss": 0.08370037376880646, | |
| "eval_precision": 0.9859649122807017, | |
| "eval_recall": 0.9756944444444444, | |
| "eval_runtime": 2.1544, | |
| "eval_samples_per_second": 173.601, | |
| "eval_steps_per_second": 5.57, | |
| "step": 708 | |
| }, | |
| { | |
| "epoch": 27.05, | |
| "learning_rate": 4.985754985754986e-06, | |
| "loss": 0.134, | |
| "step": 710 | |
| }, | |
| { | |
| "epoch": 27.43, | |
| "learning_rate": 4.273504273504274e-06, | |
| "loss": 0.1366, | |
| "step": 720 | |
| }, | |
| { | |
| "epoch": 27.81, | |
| "learning_rate": 3.5612535612535615e-06, | |
| "loss": 0.1444, | |
| "step": 730 | |
| }, | |
| { | |
| "epoch": 28.0, | |
| "eval_accuracy": 0.9679144385026738, | |
| "eval_f1_score": 0.9791666666666666, | |
| "eval_loss": 0.08762019872665405, | |
| "eval_precision": 0.9791666666666666, | |
| "eval_recall": 0.9791666666666666, | |
| "eval_runtime": 2.1635, | |
| "eval_samples_per_second": 172.868, | |
| "eval_steps_per_second": 5.547, | |
| "step": 735 | |
| }, | |
| { | |
| "epoch": 28.19, | |
| "learning_rate": 2.8490028490028492e-06, | |
| "loss": 0.1167, | |
| "step": 740 | |
| }, | |
| { | |
| "epoch": 28.57, | |
| "learning_rate": 2.136752136752137e-06, | |
| "loss": 0.1129, | |
| "step": 750 | |
| }, | |
| { | |
| "epoch": 28.95, | |
| "learning_rate": 1.4245014245014246e-06, | |
| "loss": 0.145, | |
| "step": 760 | |
| }, | |
| { | |
| "epoch": 28.99, | |
| "eval_accuracy": 0.9705882352941176, | |
| "eval_f1_score": 0.9808695652173912, | |
| "eval_loss": 0.09031202644109726, | |
| "eval_precision": 0.9825783972125436, | |
| "eval_recall": 0.9791666666666666, | |
| "eval_runtime": 2.1632, | |
| "eval_samples_per_second": 172.893, | |
| "eval_steps_per_second": 5.547, | |
| "step": 761 | |
| }, | |
| { | |
| "epoch": 29.33, | |
| "learning_rate": 7.122507122507123e-07, | |
| "loss": 0.1334, | |
| "step": 770 | |
| }, | |
| { | |
| "epoch": 29.71, | |
| "learning_rate": 0.0, | |
| "loss": 0.1445, | |
| "step": 780 | |
| }, | |
| { | |
| "epoch": 29.71, | |
| "eval_accuracy": 0.9679144385026738, | |
| "eval_f1_score": 0.9790940766550522, | |
| "eval_loss": 0.08815235644578934, | |
| "eval_precision": 0.9825174825174825, | |
| "eval_recall": 0.9756944444444444, | |
| "eval_runtime": 3.4052, | |
| "eval_samples_per_second": 109.832, | |
| "eval_steps_per_second": 3.524, | |
| "step": 780 | |
| }, | |
| { | |
| "epoch": 29.71, | |
| "step": 780, | |
| "total_flos": 4.5315392030480794e+17, | |
| "train_loss": 0.2131147768252935, | |
| "train_runtime": 1561.1697, | |
| "train_samples_per_second": 64.529, | |
| "train_steps_per_second": 0.5 | |
| } | |
| ], | |
| "logging_steps": 10, | |
| "max_steps": 780, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 30, | |
| "save_steps": 500, | |
| "total_flos": 4.5315392030480794e+17, | |
| "train_batch_size": 32, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |