| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 4.213694507148232, | |
| "eval_steps": 20, | |
| "global_step": 1400, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.03, | |
| "learning_rate": 5e-07, | |
| "loss": 1.1046, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.06, | |
| "learning_rate": 1e-06, | |
| "loss": 1.0664, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.06, | |
| "eval_accuracy": 0.44479243019924036, | |
| "eval_combined_score": 0.3403229798934559, | |
| "eval_f1": 0.2738667532127967, | |
| "eval_loss": 1.065091609954834, | |
| "eval_precision": 0.19784030596254612, | |
| "eval_recall": 0.44479243019924036, | |
| "eval_runtime": 49.6621, | |
| "eval_samples_per_second": 604.364, | |
| "eval_steps_per_second": 1.188, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.09, | |
| "learning_rate": 1.5e-06, | |
| "loss": 1.0672, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "learning_rate": 2e-06, | |
| "loss": 1.0423, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "eval_accuracy": 0.5033650962883988, | |
| "eval_combined_score": 0.4633375988688383, | |
| "eval_f1": 0.4137746858205889, | |
| "eval_loss": 1.0188277959823608, | |
| "eval_precision": 0.43284551707796665, | |
| "eval_recall": 0.5033650962883988, | |
| "eval_runtime": 49.1985, | |
| "eval_samples_per_second": 610.06, | |
| "eval_steps_per_second": 1.199, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.15, | |
| "learning_rate": 2.5e-06, | |
| "loss": 1.027, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.18, | |
| "learning_rate": 3e-06, | |
| "loss": 1.0137, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 0.18, | |
| "eval_accuracy": 0.5279203038581995, | |
| "eval_combined_score": 0.48433586826626607, | |
| "eval_f1": 0.4596383010419703, | |
| "eval_loss": 0.9871189594268799, | |
| "eval_precision": 0.421864564306695, | |
| "eval_recall": 0.5279203038581995, | |
| "eval_runtime": 49.0237, | |
| "eval_samples_per_second": 612.235, | |
| "eval_steps_per_second": 1.204, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 0.21, | |
| "learning_rate": 3.5e-06, | |
| "loss": 1.0005, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "learning_rate": 4e-06, | |
| "loss": 1.0027, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "eval_accuracy": 0.5308189511561271, | |
| "eval_combined_score": 0.4866197693698143, | |
| "eval_f1": 0.46528335920671143, | |
| "eval_loss": 0.9888613224029541, | |
| "eval_precision": 0.4195578159602916, | |
| "eval_recall": 0.5308189511561271, | |
| "eval_runtime": 49.518, | |
| "eval_samples_per_second": 606.124, | |
| "eval_steps_per_second": 1.191, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 0.27, | |
| "learning_rate": 4.5e-06, | |
| "loss": 0.9937, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 0.3, | |
| "learning_rate": 5e-06, | |
| "loss": 0.9914, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.3, | |
| "eval_accuracy": 0.5307856333710935, | |
| "eval_combined_score": 0.48644275806230897, | |
| "eval_f1": 0.4666072639999521, | |
| "eval_loss": 0.9762536883354187, | |
| "eval_precision": 0.4175925015070968, | |
| "eval_recall": 0.5307856333710935, | |
| "eval_runtime": 49.4629, | |
| "eval_samples_per_second": 606.798, | |
| "eval_steps_per_second": 1.193, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.33, | |
| "learning_rate": 5.5e-06, | |
| "loss": 0.9884, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 0.36, | |
| "learning_rate": 6e-06, | |
| "loss": 0.9826, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 0.36, | |
| "eval_accuracy": 0.5387819017791697, | |
| "eval_combined_score": 0.4944622623129249, | |
| "eval_f1": 0.47105988260831677, | |
| "eval_loss": 0.9713281989097595, | |
| "eval_precision": 0.4292253630850433, | |
| "eval_recall": 0.5387819017791697, | |
| "eval_runtime": 49.0682, | |
| "eval_samples_per_second": 611.68, | |
| "eval_steps_per_second": 1.202, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 0.39, | |
| "learning_rate": 6.5e-06, | |
| "loss": 0.9882, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 0.42, | |
| "learning_rate": 7e-06, | |
| "loss": 0.9788, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 0.42, | |
| "eval_accuracy": 0.5312520823615646, | |
| "eval_combined_score": 0.48712844254868687, | |
| "eval_f1": 0.4673598197970026, | |
| "eval_loss": 0.9766249656677246, | |
| "eval_precision": 0.41864978567461564, | |
| "eval_recall": 0.5312520823615646, | |
| "eval_runtime": 49.1859, | |
| "eval_samples_per_second": 610.215, | |
| "eval_steps_per_second": 1.2, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 0.45, | |
| "learning_rate": 7.5e-06, | |
| "loss": 0.9854, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 0.48, | |
| "learning_rate": 8e-06, | |
| "loss": 0.984, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 0.48, | |
| "eval_accuracy": 0.5398147531152129, | |
| "eval_combined_score": 0.49477075635813, | |
| "eval_f1": 0.4751263005883661, | |
| "eval_loss": 0.9589501619338989, | |
| "eval_precision": 0.4243272186137281, | |
| "eval_recall": 0.5398147531152129, | |
| "eval_runtime": 49.0847, | |
| "eval_samples_per_second": 611.473, | |
| "eval_steps_per_second": 1.202, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 0.51, | |
| "learning_rate": 8.500000000000002e-06, | |
| "loss": 0.9795, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 0.54, | |
| "learning_rate": 9e-06, | |
| "loss": 0.9694, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 0.54, | |
| "eval_accuracy": 0.5423469047777704, | |
| "eval_combined_score": 0.49718028497336725, | |
| "eval_f1": 0.4771728160733735, | |
| "eval_loss": 0.953514814376831, | |
| "eval_precision": 0.42685451426455484, | |
| "eval_recall": 0.5423469047777704, | |
| "eval_runtime": 49.0032, | |
| "eval_samples_per_second": 612.491, | |
| "eval_steps_per_second": 1.204, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 0.57, | |
| "learning_rate": 9.5e-06, | |
| "loss": 0.9757, | |
| "step": 190 | |
| }, | |
| { | |
| "epoch": 0.6, | |
| "learning_rate": 1e-05, | |
| "loss": 0.9676, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.6, | |
| "eval_accuracy": 0.567201972412874, | |
| "eval_combined_score": 0.5200447629299639, | |
| "eval_f1": 0.49911443945569844, | |
| "eval_loss": 0.9273685812950134, | |
| "eval_precision": 0.44666066743840943, | |
| "eval_recall": 0.567201972412874, | |
| "eval_runtime": 49.1912, | |
| "eval_samples_per_second": 610.15, | |
| "eval_steps_per_second": 1.199, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.63, | |
| "learning_rate": 1.0500000000000001e-05, | |
| "loss": 0.9708, | |
| "step": 210 | |
| }, | |
| { | |
| "epoch": 0.66, | |
| "learning_rate": 1.1e-05, | |
| "loss": 0.9753, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 0.66, | |
| "eval_accuracy": 0.573598987139335, | |
| "eval_combined_score": 0.5278568904198743, | |
| "eval_f1": 0.5026102591641352, | |
| "eval_loss": 0.912590503692627, | |
| "eval_precision": 0.4616193282366919, | |
| "eval_recall": 0.573598987139335, | |
| "eval_runtime": 49.2154, | |
| "eval_samples_per_second": 609.849, | |
| "eval_steps_per_second": 1.199, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 0.69, | |
| "learning_rate": 1.15e-05, | |
| "loss": 0.9586, | |
| "step": 230 | |
| }, | |
| { | |
| "epoch": 0.72, | |
| "learning_rate": 1.2e-05, | |
| "loss": 0.9557, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 0.72, | |
| "eval_accuracy": 0.5759645498767242, | |
| "eval_combined_score": 0.5280177627115059, | |
| "eval_f1": 0.5069205876947673, | |
| "eval_loss": 0.9052607417106628, | |
| "eval_precision": 0.45322136339780783, | |
| "eval_recall": 0.5759645498767242, | |
| "eval_runtime": 49.1399, | |
| "eval_samples_per_second": 610.787, | |
| "eval_steps_per_second": 1.201, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 0.75, | |
| "learning_rate": 1.25e-05, | |
| "loss": 0.9518, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 0.78, | |
| "learning_rate": 1.3e-05, | |
| "loss": 0.9508, | |
| "step": 260 | |
| }, | |
| { | |
| "epoch": 0.78, | |
| "eval_accuracy": 0.5766975411474645, | |
| "eval_combined_score": 0.534067292009198, | |
| "eval_f1": 0.5018221478654629, | |
| "eval_loss": 0.9178985953330994, | |
| "eval_precision": 0.4810519378764, | |
| "eval_recall": 0.5766975411474645, | |
| "eval_runtime": 49.2092, | |
| "eval_samples_per_second": 609.927, | |
| "eval_steps_per_second": 1.199, | |
| "step": 260 | |
| }, | |
| { | |
| "epoch": 0.81, | |
| "learning_rate": 1.35e-05, | |
| "loss": 0.9405, | |
| "step": 270 | |
| }, | |
| { | |
| "epoch": 0.84, | |
| "learning_rate": 1.4e-05, | |
| "loss": 0.9355, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 0.84, | |
| "eval_accuracy": 0.58915839275005, | |
| "eval_combined_score": 0.5407092882328752, | |
| "eval_f1": 0.5183161389995846, | |
| "eval_loss": 0.8937407732009888, | |
| "eval_precision": 0.46620422843181647, | |
| "eval_recall": 0.58915839275005, | |
| "eval_runtime": 49.2523, | |
| "eval_samples_per_second": 609.393, | |
| "eval_steps_per_second": 1.198, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 0.87, | |
| "learning_rate": 1.4500000000000002e-05, | |
| "loss": 0.9235, | |
| "step": 290 | |
| }, | |
| { | |
| "epoch": 0.9, | |
| "learning_rate": 1.5e-05, | |
| "loss": 0.9, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.9, | |
| "eval_accuracy": 0.613013926834144, | |
| "eval_combined_score": 0.5923759012239074, | |
| "eval_f1": 0.5579282363395321, | |
| "eval_loss": 0.8468813300132751, | |
| "eval_precision": 0.5855475148878095, | |
| "eval_recall": 0.613013926834144, | |
| "eval_runtime": 49.1896, | |
| "eval_samples_per_second": 610.17, | |
| "eval_steps_per_second": 1.199, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.93, | |
| "learning_rate": 1.55e-05, | |
| "loss": 0.8857, | |
| "step": 310 | |
| }, | |
| { | |
| "epoch": 0.96, | |
| "learning_rate": 1.6e-05, | |
| "loss": 0.993, | |
| "step": 320 | |
| }, | |
| { | |
| "epoch": 0.96, | |
| "eval_accuracy": 0.6046511627906976, | |
| "eval_combined_score": 0.590510828847508, | |
| "eval_f1": 0.5352474275558012, | |
| "eval_loss": 0.8615403771400452, | |
| "eval_precision": 0.6174935622528357, | |
| "eval_recall": 0.6046511627906976, | |
| "eval_runtime": 49.37, | |
| "eval_samples_per_second": 607.94, | |
| "eval_steps_per_second": 1.195, | |
| "step": 320 | |
| }, | |
| { | |
| "epoch": 0.99, | |
| "learning_rate": 1.65e-05, | |
| "loss": 0.8418, | |
| "step": 330 | |
| }, | |
| { | |
| "epoch": 1.02, | |
| "learning_rate": 1.7000000000000003e-05, | |
| "loss": 0.8527, | |
| "step": 340 | |
| }, | |
| { | |
| "epoch": 1.02, | |
| "eval_accuracy": 0.6439328313453722, | |
| "eval_combined_score": 0.6332615383344228, | |
| "eval_f1": 0.6212200513859825, | |
| "eval_loss": 0.7896137237548828, | |
| "eval_precision": 0.6239604392609642, | |
| "eval_recall": 0.6439328313453722, | |
| "eval_runtime": 49.1146, | |
| "eval_samples_per_second": 611.102, | |
| "eval_steps_per_second": 1.201, | |
| "step": 340 | |
| }, | |
| { | |
| "epoch": 1.05, | |
| "learning_rate": 1.7500000000000002e-05, | |
| "loss": 0.8982, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 1.08, | |
| "learning_rate": 1.8e-05, | |
| "loss": 0.966, | |
| "step": 360 | |
| }, | |
| { | |
| "epoch": 1.08, | |
| "eval_accuracy": 0.5315852602119011, | |
| "eval_combined_score": 0.5500800253024862, | |
| "eval_f1": 0.4943799031015135, | |
| "eval_loss": 1.0123510360717773, | |
| "eval_precision": 0.642769677684629, | |
| "eval_recall": 0.5315852602119011, | |
| "eval_runtime": 49.1941, | |
| "eval_samples_per_second": 610.114, | |
| "eval_steps_per_second": 1.199, | |
| "step": 360 | |
| }, | |
| { | |
| "epoch": 1.11, | |
| "learning_rate": 1.85e-05, | |
| "loss": 0.9413, | |
| "step": 370 | |
| }, | |
| { | |
| "epoch": 1.14, | |
| "learning_rate": 1.9e-05, | |
| "loss": 0.8441, | |
| "step": 380 | |
| }, | |
| { | |
| "epoch": 1.14, | |
| "eval_accuracy": 0.6488638635303525, | |
| "eval_combined_score": 0.648329789222037, | |
| "eval_f1": 0.6371420074616733, | |
| "eval_loss": 0.791083574295044, | |
| "eval_precision": 0.6584494223657698, | |
| "eval_recall": 0.6488638635303525, | |
| "eval_runtime": 49.3484, | |
| "eval_samples_per_second": 608.207, | |
| "eval_steps_per_second": 1.196, | |
| "step": 380 | |
| }, | |
| { | |
| "epoch": 1.17, | |
| "learning_rate": 1.95e-05, | |
| "loss": 0.8223, | |
| "step": 390 | |
| }, | |
| { | |
| "epoch": 1.2, | |
| "learning_rate": 2e-05, | |
| "loss": 0.8226, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 1.2, | |
| "eval_accuracy": 0.6699873392416872, | |
| "eval_combined_score": 0.6621103162794577, | |
| "eval_f1": 0.6459453754294268, | |
| "eval_loss": 0.7472424507141113, | |
| "eval_precision": 0.6625212112050299, | |
| "eval_recall": 0.6699873392416872, | |
| "eval_runtime": 49.3153, | |
| "eval_samples_per_second": 608.614, | |
| "eval_steps_per_second": 1.196, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 1.23, | |
| "learning_rate": 2.05e-05, | |
| "loss": 0.7924, | |
| "step": 410 | |
| }, | |
| { | |
| "epoch": 1.26, | |
| "learning_rate": 2.1000000000000002e-05, | |
| "loss": 0.7948, | |
| "step": 420 | |
| }, | |
| { | |
| "epoch": 1.26, | |
| "eval_accuracy": 0.6580595721996402, | |
| "eval_combined_score": 0.6513132521613654, | |
| "eval_f1": 0.6095365334747936, | |
| "eval_loss": 0.7663838863372803, | |
| "eval_precision": 0.6795973307713873, | |
| "eval_recall": 0.6580595721996402, | |
| "eval_runtime": 49.2143, | |
| "eval_samples_per_second": 609.863, | |
| "eval_steps_per_second": 1.199, | |
| "step": 420 | |
| }, | |
| { | |
| "epoch": 1.29, | |
| "learning_rate": 2.1499999999999997e-05, | |
| "loss": 0.776, | |
| "step": 430 | |
| }, | |
| { | |
| "epoch": 1.32, | |
| "learning_rate": 2.2e-05, | |
| "loss": 0.7428, | |
| "step": 440 | |
| }, | |
| { | |
| "epoch": 1.32, | |
| "eval_accuracy": 0.6991737189311654, | |
| "eval_combined_score": 0.6905198116505921, | |
| "eval_f1": 0.653333567856404, | |
| "eval_loss": 0.6993714570999146, | |
| "eval_precision": 0.7103982408836337, | |
| "eval_recall": 0.6991737189311654, | |
| "eval_runtime": 49.1465, | |
| "eval_samples_per_second": 610.704, | |
| "eval_steps_per_second": 1.2, | |
| "step": 440 | |
| }, | |
| { | |
| "epoch": 1.35, | |
| "learning_rate": 2.2499999999999998e-05, | |
| "loss": 0.7512, | |
| "step": 450 | |
| }, | |
| { | |
| "epoch": 1.38, | |
| "learning_rate": 2.3e-05, | |
| "loss": 0.7109, | |
| "step": 460 | |
| }, | |
| { | |
| "epoch": 1.38, | |
| "eval_accuracy": 0.7283600986206437, | |
| "eval_combined_score": 0.7200537958840363, | |
| "eval_f1": 0.6890059409106147, | |
| "eval_loss": 0.6510820984840393, | |
| "eval_precision": 0.7344890453842432, | |
| "eval_recall": 0.7283600986206437, | |
| "eval_runtime": 49.0446, | |
| "eval_samples_per_second": 611.974, | |
| "eval_steps_per_second": 1.203, | |
| "step": 460 | |
| }, | |
| { | |
| "epoch": 1.41, | |
| "learning_rate": 2.3500000000000002e-05, | |
| "loss": 0.701, | |
| "step": 470 | |
| }, | |
| { | |
| "epoch": 1.44, | |
| "learning_rate": 2.4e-05, | |
| "loss": 0.6882, | |
| "step": 480 | |
| }, | |
| { | |
| "epoch": 1.44, | |
| "eval_accuracy": 0.7576797494502565, | |
| "eval_combined_score": 0.7514829004826655, | |
| "eval_f1": 0.7336051419487455, | |
| "eval_loss": 0.5987845063209534, | |
| "eval_precision": 0.7569669610814035, | |
| "eval_recall": 0.7576797494502565, | |
| "eval_runtime": 49.3939, | |
| "eval_samples_per_second": 607.646, | |
| "eval_steps_per_second": 1.194, | |
| "step": 480 | |
| }, | |
| { | |
| "epoch": 1.47, | |
| "learning_rate": 2.4500000000000003e-05, | |
| "loss": 0.651, | |
| "step": 490 | |
| }, | |
| { | |
| "epoch": 1.5, | |
| "learning_rate": 2.5e-05, | |
| "loss": 0.7296, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 1.5, | |
| "eval_accuracy": 0.7564136736189778, | |
| "eval_combined_score": 0.7674838523650971, | |
| "eval_f1": 0.766902713706533, | |
| "eval_loss": 0.5992804765701294, | |
| "eval_precision": 0.7902053485158999, | |
| "eval_recall": 0.7564136736189778, | |
| "eval_runtime": 49.1622, | |
| "eval_samples_per_second": 610.509, | |
| "eval_steps_per_second": 1.2, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 1.53, | |
| "learning_rate": 2.55e-05, | |
| "loss": 0.5943, | |
| "step": 510 | |
| }, | |
| { | |
| "epoch": 1.57, | |
| "learning_rate": 2.6e-05, | |
| "loss": 0.5677, | |
| "step": 520 | |
| }, | |
| { | |
| "epoch": 1.57, | |
| "eval_accuracy": 0.8125874591857133, | |
| "eval_combined_score": 0.8104607682202668, | |
| "eval_f1": 0.7941544044601274, | |
| "eval_loss": 0.5067983865737915, | |
| "eval_precision": 0.8225137500495135, | |
| "eval_recall": 0.8125874591857133, | |
| "eval_runtime": 49.0571, | |
| "eval_samples_per_second": 611.817, | |
| "eval_steps_per_second": 1.203, | |
| "step": 520 | |
| }, | |
| { | |
| "epoch": 1.6, | |
| "learning_rate": 2.65e-05, | |
| "loss": 0.5818, | |
| "step": 530 | |
| }, | |
| { | |
| "epoch": 1.63, | |
| "learning_rate": 2.7e-05, | |
| "loss": 0.5096, | |
| "step": 540 | |
| }, | |
| { | |
| "epoch": 1.63, | |
| "eval_accuracy": 0.8520023988805224, | |
| "eval_combined_score": 0.8500052190439381, | |
| "eval_f1": 0.8448837390352126, | |
| "eval_loss": 0.42726200819015503, | |
| "eval_precision": 0.8511323393794948, | |
| "eval_recall": 0.8520023988805224, | |
| "eval_runtime": 49.0407, | |
| "eval_samples_per_second": 612.023, | |
| "eval_steps_per_second": 1.203, | |
| "step": 540 | |
| }, | |
| { | |
| "epoch": 1.66, | |
| "learning_rate": 2.75e-05, | |
| "loss": 0.462, | |
| "step": 550 | |
| }, | |
| { | |
| "epoch": 1.69, | |
| "learning_rate": 2.8e-05, | |
| "loss": 0.4452, | |
| "step": 560 | |
| }, | |
| { | |
| "epoch": 1.69, | |
| "eval_accuracy": 0.8721929766109149, | |
| "eval_combined_score": 0.8711433017214012, | |
| "eval_f1": 0.8698654313719106, | |
| "eval_loss": 0.37960025668144226, | |
| "eval_precision": 0.8703218222918644, | |
| "eval_recall": 0.8721929766109149, | |
| "eval_runtime": 49.6519, | |
| "eval_samples_per_second": 604.489, | |
| "eval_steps_per_second": 1.188, | |
| "step": 560 | |
| }, | |
| { | |
| "epoch": 1.72, | |
| "learning_rate": 2.85e-05, | |
| "loss": 0.4267, | |
| "step": 570 | |
| }, | |
| { | |
| "epoch": 1.75, | |
| "learning_rate": 2.9000000000000004e-05, | |
| "loss": 0.3836, | |
| "step": 580 | |
| }, | |
| { | |
| "epoch": 1.75, | |
| "eval_accuracy": 0.8756580262544146, | |
| "eval_combined_score": 0.876232023467392, | |
| "eval_f1": 0.8758457824110393, | |
| "eval_loss": 0.3854842483997345, | |
| "eval_precision": 0.8777662589496996, | |
| "eval_recall": 0.8756580262544146, | |
| "eval_runtime": 49.2229, | |
| "eval_samples_per_second": 609.757, | |
| "eval_steps_per_second": 1.199, | |
| "step": 580 | |
| }, | |
| { | |
| "epoch": 1.78, | |
| "learning_rate": 2.95e-05, | |
| "loss": 0.3828, | |
| "step": 590 | |
| }, | |
| { | |
| "epoch": 1.81, | |
| "learning_rate": 3e-05, | |
| "loss": 0.3783, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 1.81, | |
| "eval_accuracy": 0.8893849536882789, | |
| "eval_combined_score": 0.8889004932680924, | |
| "eval_f1": 0.8883136621852403, | |
| "eval_loss": 0.35855188965797424, | |
| "eval_precision": 0.8885184035105714, | |
| "eval_recall": 0.8893849536882789, | |
| "eval_runtime": 49.2611, | |
| "eval_samples_per_second": 609.285, | |
| "eval_steps_per_second": 1.198, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 1.84, | |
| "learning_rate": 3.05e-05, | |
| "loss": 0.3466, | |
| "step": 610 | |
| }, | |
| { | |
| "epoch": 1.87, | |
| "learning_rate": 3.1e-05, | |
| "loss": 0.3496, | |
| "step": 620 | |
| }, | |
| { | |
| "epoch": 1.87, | |
| "eval_accuracy": 0.8971813153861531, | |
| "eval_combined_score": 0.8972621407363919, | |
| "eval_f1": 0.8972738562660447, | |
| "eval_loss": 0.321043998003006, | |
| "eval_precision": 0.8974120759072168, | |
| "eval_recall": 0.8971813153861531, | |
| "eval_runtime": 49.4334, | |
| "eval_samples_per_second": 607.16, | |
| "eval_steps_per_second": 1.194, | |
| "step": 620 | |
| }, | |
| { | |
| "epoch": 1.9, | |
| "learning_rate": 3.15e-05, | |
| "loss": 0.3421, | |
| "step": 630 | |
| }, | |
| { | |
| "epoch": 1.93, | |
| "learning_rate": 3.2e-05, | |
| "loss": 0.3585, | |
| "step": 640 | |
| }, | |
| { | |
| "epoch": 1.93, | |
| "eval_accuracy": 0.9035450123275804, | |
| "eval_combined_score": 0.9033726098964578, | |
| "eval_f1": 0.9030761902479666, | |
| "eval_loss": 0.3006099760532379, | |
| "eval_precision": 0.903324224682704, | |
| "eval_recall": 0.9035450123275804, | |
| "eval_runtime": 49.1842, | |
| "eval_samples_per_second": 610.237, | |
| "eval_steps_per_second": 1.2, | |
| "step": 640 | |
| }, | |
| { | |
| "epoch": 1.96, | |
| "learning_rate": 3.2500000000000004e-05, | |
| "loss": 0.3442, | |
| "step": 650 | |
| }, | |
| { | |
| "epoch": 1.99, | |
| "learning_rate": 3.3e-05, | |
| "loss": 0.345, | |
| "step": 660 | |
| }, | |
| { | |
| "epoch": 1.99, | |
| "eval_accuracy": 0.9014126740854268, | |
| "eval_combined_score": 0.9026415340332592, | |
| "eval_f1": 0.9025066760774267, | |
| "eval_loss": 0.30540063977241516, | |
| "eval_precision": 0.9052341118847564, | |
| "eval_recall": 0.9014126740854268, | |
| "eval_runtime": 49.4063, | |
| "eval_samples_per_second": 607.494, | |
| "eval_steps_per_second": 1.194, | |
| "step": 660 | |
| }, | |
| { | |
| "epoch": 2.02, | |
| "learning_rate": 3.35e-05, | |
| "loss": 0.3246, | |
| "step": 670 | |
| }, | |
| { | |
| "epoch": 2.05, | |
| "learning_rate": 3.4000000000000007e-05, | |
| "loss": 0.3327, | |
| "step": 680 | |
| }, | |
| { | |
| "epoch": 2.05, | |
| "eval_accuracy": 0.8912507496501633, | |
| "eval_combined_score": 0.8911549520027604, | |
| "eval_f1": 0.8866402874920362, | |
| "eval_loss": 0.3174073100090027, | |
| "eval_precision": 0.895478021218679, | |
| "eval_recall": 0.8912507496501633, | |
| "eval_runtime": 49.3463, | |
| "eval_samples_per_second": 608.232, | |
| "eval_steps_per_second": 1.196, | |
| "step": 680 | |
| }, | |
| { | |
| "epoch": 2.08, | |
| "learning_rate": 3.4500000000000005e-05, | |
| "loss": 0.3172, | |
| "step": 690 | |
| }, | |
| { | |
| "epoch": 2.11, | |
| "learning_rate": 3.5000000000000004e-05, | |
| "loss": 0.2962, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 2.11, | |
| "eval_accuracy": 0.9122076364363297, | |
| "eval_combined_score": 0.9124808443428073, | |
| "eval_f1": 0.9125293911738805, | |
| "eval_loss": 0.2769884169101715, | |
| "eval_precision": 0.9129787133246888, | |
| "eval_recall": 0.9122076364363297, | |
| "eval_runtime": 49.3634, | |
| "eval_samples_per_second": 608.021, | |
| "eval_steps_per_second": 1.195, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 2.14, | |
| "learning_rate": 3.5499999999999996e-05, | |
| "loss": 0.287, | |
| "step": 710 | |
| }, | |
| { | |
| "epoch": 2.17, | |
| "learning_rate": 3.6e-05, | |
| "loss": 0.3032, | |
| "step": 720 | |
| }, | |
| { | |
| "epoch": 2.17, | |
| "eval_accuracy": 0.9062437529153062, | |
| "eval_combined_score": 0.9068222505646787, | |
| "eval_f1": 0.9054896753410417, | |
| "eval_loss": 0.2979203760623932, | |
| "eval_precision": 0.9093118210870608, | |
| "eval_recall": 0.9062437529153062, | |
| "eval_runtime": 49.0419, | |
| "eval_samples_per_second": 612.007, | |
| "eval_steps_per_second": 1.203, | |
| "step": 720 | |
| }, | |
| { | |
| "epoch": 2.2, | |
| "learning_rate": 3.65e-05, | |
| "loss": 0.3017, | |
| "step": 730 | |
| }, | |
| { | |
| "epoch": 2.23, | |
| "learning_rate": 3.7e-05, | |
| "loss": 0.27, | |
| "step": 740 | |
| }, | |
| { | |
| "epoch": 2.23, | |
| "eval_accuracy": 0.8997801026187779, | |
| "eval_combined_score": 0.9003031124352014, | |
| "eval_f1": 0.8971406374938125, | |
| "eval_loss": 0.29734131693840027, | |
| "eval_precision": 0.9045116070094374, | |
| "eval_recall": 0.8997801026187779, | |
| "eval_runtime": 49.1818, | |
| "eval_samples_per_second": 610.267, | |
| "eval_steps_per_second": 1.2, | |
| "step": 740 | |
| }, | |
| { | |
| "epoch": 2.26, | |
| "learning_rate": 3.75e-05, | |
| "loss": 0.3042, | |
| "step": 750 | |
| }, | |
| { | |
| "epoch": 2.29, | |
| "learning_rate": 3.8e-05, | |
| "loss": 0.2912, | |
| "step": 760 | |
| }, | |
| { | |
| "epoch": 2.29, | |
| "eval_accuracy": 0.9221696541613914, | |
| "eval_combined_score": 0.9221674217032323, | |
| "eval_f1": 0.922071694968714, | |
| "eval_loss": 0.24671417474746704, | |
| "eval_precision": 0.9222586835214323, | |
| "eval_recall": 0.9221696541613914, | |
| "eval_runtime": 49.2126, | |
| "eval_samples_per_second": 609.884, | |
| "eval_steps_per_second": 1.199, | |
| "step": 760 | |
| }, | |
| { | |
| "epoch": 2.32, | |
| "learning_rate": 3.85e-05, | |
| "loss": 0.2609, | |
| "step": 770 | |
| }, | |
| { | |
| "epoch": 2.35, | |
| "learning_rate": 3.9e-05, | |
| "loss": 0.2412, | |
| "step": 780 | |
| }, | |
| { | |
| "epoch": 2.35, | |
| "eval_accuracy": 0.9113080562404211, | |
| "eval_combined_score": 0.9131963179862455, | |
| "eval_f1": 0.9128361841568111, | |
| "eval_loss": 0.2760636806488037, | |
| "eval_precision": 0.917332975307328, | |
| "eval_recall": 0.9113080562404211, | |
| "eval_runtime": 49.2008, | |
| "eval_samples_per_second": 610.031, | |
| "eval_steps_per_second": 1.199, | |
| "step": 780 | |
| }, | |
| { | |
| "epoch": 2.38, | |
| "learning_rate": 3.95e-05, | |
| "loss": 0.2755, | |
| "step": 790 | |
| }, | |
| { | |
| "epoch": 2.41, | |
| "learning_rate": 4e-05, | |
| "loss": 0.2746, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 2.41, | |
| "eval_accuracy": 0.9260011994402612, | |
| "eval_combined_score": 0.9259453001449679, | |
| "eval_f1": 0.9257439757889774, | |
| "eval_loss": 0.24102580547332764, | |
| "eval_precision": 0.9260348259103722, | |
| "eval_recall": 0.9260011994402612, | |
| "eval_runtime": 49.2957, | |
| "eval_samples_per_second": 608.856, | |
| "eval_steps_per_second": 1.197, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 2.44, | |
| "learning_rate": 4.05e-05, | |
| "loss": 0.2563, | |
| "step": 810 | |
| }, | |
| { | |
| "epoch": 2.47, | |
| "learning_rate": 4.1e-05, | |
| "loss": 0.2637, | |
| "step": 820 | |
| }, | |
| { | |
| "epoch": 2.47, | |
| "eval_accuracy": 0.922103018591324, | |
| "eval_combined_score": 0.9220769784769673, | |
| "eval_f1": 0.9212994658547122, | |
| "eval_loss": 0.2446586638689041, | |
| "eval_precision": 0.9228024108705088, | |
| "eval_recall": 0.922103018591324, | |
| "eval_runtime": 48.9946, | |
| "eval_samples_per_second": 612.598, | |
| "eval_steps_per_second": 1.204, | |
| "step": 820 | |
| }, | |
| { | |
| "epoch": 2.5, | |
| "learning_rate": 4.1500000000000006e-05, | |
| "loss": 0.2492, | |
| "step": 830 | |
| }, | |
| { | |
| "epoch": 2.53, | |
| "learning_rate": 4.2000000000000004e-05, | |
| "loss": 0.2605, | |
| "step": 840 | |
| }, | |
| { | |
| "epoch": 2.53, | |
| "eval_accuracy": 0.9237355900579729, | |
| "eval_combined_score": 0.9240135925879284, | |
| "eval_f1": 0.9231767824872119, | |
| "eval_loss": 0.2475174069404602, | |
| "eval_precision": 0.9254064077485559, | |
| "eval_recall": 0.9237355900579729, | |
| "eval_runtime": 49.3973, | |
| "eval_samples_per_second": 607.604, | |
| "eval_steps_per_second": 1.194, | |
| "step": 840 | |
| }, | |
| { | |
| "epoch": 2.56, | |
| "learning_rate": 4.25e-05, | |
| "loss": 0.2393, | |
| "step": 850 | |
| }, | |
| { | |
| "epoch": 2.59, | |
| "learning_rate": 4.2999999999999995e-05, | |
| "loss": 0.2517, | |
| "step": 860 | |
| }, | |
| { | |
| "epoch": 2.59, | |
| "eval_accuracy": 0.9265342840007996, | |
| "eval_combined_score": 0.9265368337935618, | |
| "eval_f1": 0.9258759190762016, | |
| "eval_loss": 0.2590079605579376, | |
| "eval_precision": 0.927202848096446, | |
| "eval_recall": 0.9265342840007996, | |
| "eval_runtime": 48.961, | |
| "eval_samples_per_second": 613.019, | |
| "eval_steps_per_second": 1.205, | |
| "step": 860 | |
| }, | |
| { | |
| "epoch": 2.62, | |
| "learning_rate": 4.35e-05, | |
| "loss": 0.2515, | |
| "step": 870 | |
| }, | |
| { | |
| "epoch": 2.65, | |
| "learning_rate": 4.4e-05, | |
| "loss": 0.2453, | |
| "step": 880 | |
| }, | |
| { | |
| "epoch": 2.65, | |
| "eval_accuracy": 0.930032651429333, | |
| "eval_combined_score": 0.9305237768064085, | |
| "eval_f1": 0.9305263249699511, | |
| "eval_loss": 0.22479340434074402, | |
| "eval_precision": 0.9315034793970168, | |
| "eval_recall": 0.930032651429333, | |
| "eval_runtime": 49.2223, | |
| "eval_samples_per_second": 609.764, | |
| "eval_steps_per_second": 1.199, | |
| "step": 880 | |
| }, | |
| { | |
| "epoch": 2.68, | |
| "learning_rate": 4.45e-05, | |
| "loss": 0.2508, | |
| "step": 890 | |
| }, | |
| { | |
| "epoch": 2.71, | |
| "learning_rate": 4.4999999999999996e-05, | |
| "loss": 0.2247, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 2.71, | |
| "eval_accuracy": 0.9273005930565736, | |
| "eval_combined_score": 0.9281516215920332, | |
| "eval_f1": 0.9280796047956419, | |
| "eval_loss": 0.22854498028755188, | |
| "eval_precision": 0.9299256954593439, | |
| "eval_recall": 0.9273005930565736, | |
| "eval_runtime": 49.2291, | |
| "eval_samples_per_second": 609.68, | |
| "eval_steps_per_second": 1.198, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 2.74, | |
| "learning_rate": 4.55e-05, | |
| "loss": 0.2322, | |
| "step": 910 | |
| }, | |
| { | |
| "epoch": 2.77, | |
| "learning_rate": 4.6e-05, | |
| "loss": 0.2402, | |
| "step": 920 | |
| }, | |
| { | |
| "epoch": 2.77, | |
| "eval_accuracy": 0.9306323715599387, | |
| "eval_combined_score": 0.9309955842160982, | |
| "eval_f1": 0.9310096138675644, | |
| "eval_loss": 0.23041337728500366, | |
| "eval_precision": 0.9317079798769508, | |
| "eval_recall": 0.9306323715599387, | |
| "eval_runtime": 49.1984, | |
| "eval_samples_per_second": 610.061, | |
| "eval_steps_per_second": 1.199, | |
| "step": 920 | |
| }, | |
| { | |
| "epoch": 2.8, | |
| "learning_rate": 4.65e-05, | |
| "loss": 0.2271, | |
| "step": 930 | |
| }, | |
| { | |
| "epoch": 2.83, | |
| "learning_rate": 4.7000000000000004e-05, | |
| "loss": 0.2033, | |
| "step": 940 | |
| }, | |
| { | |
| "epoch": 2.83, | |
| "eval_accuracy": 0.9318651296061837, | |
| "eval_combined_score": 0.9319597345286359, | |
| "eval_f1": 0.9316097686956853, | |
| "eval_loss": 0.22282446920871735, | |
| "eval_precision": 0.9324989102064907, | |
| "eval_recall": 0.9318651296061837, | |
| "eval_runtime": 49.2383, | |
| "eval_samples_per_second": 609.566, | |
| "eval_steps_per_second": 1.198, | |
| "step": 940 | |
| }, | |
| { | |
| "epoch": 2.86, | |
| "learning_rate": 4.75e-05, | |
| "loss": 0.2296, | |
| "step": 950 | |
| }, | |
| { | |
| "epoch": 2.89, | |
| "learning_rate": 4.8e-05, | |
| "loss": 0.2315, | |
| "step": 960 | |
| }, | |
| { | |
| "epoch": 2.89, | |
| "eval_accuracy": 0.9270673685613381, | |
| "eval_combined_score": 0.928342902973598, | |
| "eval_f1": 0.9281145494229922, | |
| "eval_loss": 0.22748184204101562, | |
| "eval_precision": 0.9311223253487236, | |
| "eval_recall": 0.9270673685613381, | |
| "eval_runtime": 49.2362, | |
| "eval_samples_per_second": 609.592, | |
| "eval_steps_per_second": 1.198, | |
| "step": 960 | |
| }, | |
| { | |
| "epoch": 2.92, | |
| "learning_rate": 4.85e-05, | |
| "loss": 0.2223, | |
| "step": 970 | |
| }, | |
| { | |
| "epoch": 2.95, | |
| "learning_rate": 4.9000000000000005e-05, | |
| "loss": 0.2231, | |
| "step": 980 | |
| }, | |
| { | |
| "epoch": 2.95, | |
| "eval_accuracy": 0.9342973279136403, | |
| "eval_combined_score": 0.9345308601987949, | |
| "eval_f1": 0.9344884304469883, | |
| "eval_loss": 0.21153467893600464, | |
| "eval_precision": 0.9350403545209113, | |
| "eval_recall": 0.9342973279136403, | |
| "eval_runtime": 49.0355, | |
| "eval_samples_per_second": 612.087, | |
| "eval_steps_per_second": 1.203, | |
| "step": 980 | |
| }, | |
| { | |
| "epoch": 2.98, | |
| "learning_rate": 4.9500000000000004e-05, | |
| "loss": 0.2282, | |
| "step": 990 | |
| }, | |
| { | |
| "epoch": 3.01, | |
| "learning_rate": 5e-05, | |
| "loss": 0.2061, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 3.01, | |
| "eval_accuracy": 0.9355300859598854, | |
| "eval_combined_score": 0.9356749651327266, | |
| "eval_f1": 0.9355579422022496, | |
| "eval_loss": 0.21559903025627136, | |
| "eval_precision": 0.936081746408886, | |
| "eval_recall": 0.9355300859598854, | |
| "eval_runtime": 49.063, | |
| "eval_samples_per_second": 611.744, | |
| "eval_steps_per_second": 1.203, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 3.04, | |
| "learning_rate": 5.05e-05, | |
| "loss": 0.2043, | |
| "step": 1010 | |
| }, | |
| { | |
| "epoch": 3.07, | |
| "learning_rate": 5.1e-05, | |
| "loss": 0.238, | |
| "step": 1020 | |
| }, | |
| { | |
| "epoch": 3.07, | |
| "eval_accuracy": 0.9251682548144199, | |
| "eval_combined_score": 0.9264968648076566, | |
| "eval_f1": 0.9262304286538198, | |
| "eval_loss": 0.23586203157901764, | |
| "eval_precision": 0.9294205209479667, | |
| "eval_recall": 0.9251682548144199, | |
| "eval_runtime": 49.1761, | |
| "eval_samples_per_second": 610.337, | |
| "eval_steps_per_second": 1.2, | |
| "step": 1020 | |
| }, | |
| { | |
| "epoch": 3.1, | |
| "learning_rate": 5.15e-05, | |
| "loss": 0.2052, | |
| "step": 1030 | |
| }, | |
| { | |
| "epoch": 3.13, | |
| "learning_rate": 5.2e-05, | |
| "loss": 0.1959, | |
| "step": 1040 | |
| }, | |
| { | |
| "epoch": 3.13, | |
| "eval_accuracy": 0.9342640101286066, | |
| "eval_combined_score": 0.9344882418668942, | |
| "eval_f1": 0.9342944371065101, | |
| "eval_loss": 0.20517703890800476, | |
| "eval_precision": 0.9351305101038535, | |
| "eval_recall": 0.9342640101286066, | |
| "eval_runtime": 49.0279, | |
| "eval_samples_per_second": 612.182, | |
| "eval_steps_per_second": 1.203, | |
| "step": 1040 | |
| }, | |
| { | |
| "epoch": 3.16, | |
| "learning_rate": 5.25e-05, | |
| "loss": 0.2001, | |
| "step": 1050 | |
| }, | |
| { | |
| "epoch": 3.19, | |
| "learning_rate": 5.3e-05, | |
| "loss": 0.2013, | |
| "step": 1060 | |
| }, | |
| { | |
| "epoch": 3.19, | |
| "eval_accuracy": 0.9337309255680682, | |
| "eval_combined_score": 0.9339696079631046, | |
| "eval_f1": 0.9335629951059575, | |
| "eval_loss": 0.21142832934856415, | |
| "eval_precision": 0.934853585610324, | |
| "eval_recall": 0.9337309255680682, | |
| "eval_runtime": 49.2873, | |
| "eval_samples_per_second": 608.96, | |
| "eval_steps_per_second": 1.197, | |
| "step": 1060 | |
| }, | |
| { | |
| "epoch": 3.22, | |
| "learning_rate": 5.35e-05, | |
| "loss": 0.2047, | |
| "step": 1070 | |
| }, | |
| { | |
| "epoch": 3.25, | |
| "learning_rate": 5.4e-05, | |
| "loss": 0.2055, | |
| "step": 1080 | |
| }, | |
| { | |
| "epoch": 3.25, | |
| "eval_accuracy": 0.9353634970347171, | |
| "eval_combined_score": 0.9355549475589314, | |
| "eval_f1": 0.9353965410744636, | |
| "eval_loss": 0.19850768148899078, | |
| "eval_precision": 0.936096255091828, | |
| "eval_recall": 0.9353634970347171, | |
| "eval_runtime": 49.2971, | |
| "eval_samples_per_second": 608.839, | |
| "eval_steps_per_second": 1.197, | |
| "step": 1080 | |
| }, | |
| { | |
| "epoch": 3.28, | |
| "learning_rate": 5.45e-05, | |
| "loss": 0.1785, | |
| "step": 1090 | |
| }, | |
| { | |
| "epoch": 3.31, | |
| "learning_rate": 5.5e-05, | |
| "loss": 0.1851, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 3.31, | |
| "eval_accuracy": 0.934030785633371, | |
| "eval_combined_score": 0.9342491522296387, | |
| "eval_f1": 0.9337587906840622, | |
| "eval_loss": 0.20976577699184418, | |
| "eval_precision": 0.9351762469677505, | |
| "eval_recall": 0.934030785633371, | |
| "eval_runtime": 49.3513, | |
| "eval_samples_per_second": 608.171, | |
| "eval_steps_per_second": 1.196, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 3.34, | |
| "learning_rate": 5.55e-05, | |
| "loss": 0.2021, | |
| "step": 1110 | |
| }, | |
| { | |
| "epoch": 3.37, | |
| "learning_rate": 5.6e-05, | |
| "loss": 0.2091, | |
| "step": 1120 | |
| }, | |
| { | |
| "epoch": 3.37, | |
| "eval_accuracy": 0.9349970013993469, | |
| "eval_combined_score": 0.9350402563461946, | |
| "eval_f1": 0.9346837244814421, | |
| "eval_loss": 0.20015399158000946, | |
| "eval_precision": 0.9354832981046425, | |
| "eval_recall": 0.9349970013993469, | |
| "eval_runtime": 49.0442, | |
| "eval_samples_per_second": 611.979, | |
| "eval_steps_per_second": 1.203, | |
| "step": 1120 | |
| }, | |
| { | |
| "epoch": 3.4, | |
| "learning_rate": 5.6500000000000005e-05, | |
| "loss": 0.1921, | |
| "step": 1130 | |
| }, | |
| { | |
| "epoch": 3.43, | |
| "learning_rate": 5.7e-05, | |
| "loss": 0.1933, | |
| "step": 1140 | |
| }, | |
| { | |
| "epoch": 3.43, | |
| "eval_accuracy": 0.9367295262210968, | |
| "eval_combined_score": 0.9370493307806007, | |
| "eval_f1": 0.9370521574768956, | |
| "eval_loss": 0.2045455276966095, | |
| "eval_precision": 0.9376861132033139, | |
| "eval_recall": 0.9367295262210968, | |
| "eval_runtime": 49.275, | |
| "eval_samples_per_second": 609.112, | |
| "eval_steps_per_second": 1.197, | |
| "step": 1140 | |
| }, | |
| { | |
| "epoch": 3.46, | |
| "learning_rate": 5.75e-05, | |
| "loss": 0.1872, | |
| "step": 1150 | |
| }, | |
| { | |
| "epoch": 3.49, | |
| "learning_rate": 5.800000000000001e-05, | |
| "loss": 0.2011, | |
| "step": 1160 | |
| }, | |
| { | |
| "epoch": 3.49, | |
| "eval_accuracy": 0.9349636836143134, | |
| "eval_combined_score": 0.9349395692420557, | |
| "eval_f1": 0.9344939564813404, | |
| "eval_loss": 0.20722946524620056, | |
| "eval_precision": 0.9353369532582558, | |
| "eval_recall": 0.9349636836143134, | |
| "eval_runtime": 49.14, | |
| "eval_samples_per_second": 610.786, | |
| "eval_steps_per_second": 1.201, | |
| "step": 1160 | |
| }, | |
| { | |
| "epoch": 3.52, | |
| "learning_rate": 5.8500000000000006e-05, | |
| "loss": 0.1807, | |
| "step": 1170 | |
| }, | |
| { | |
| "epoch": 3.55, | |
| "learning_rate": 5.9e-05, | |
| "loss": 0.2085, | |
| "step": 1180 | |
| }, | |
| { | |
| "epoch": 3.55, | |
| "eval_accuracy": 0.9327313920170587, | |
| "eval_combined_score": 0.933838750818189, | |
| "eval_f1": 0.933658760865571, | |
| "eval_loss": 0.2123931348323822, | |
| "eval_precision": 0.9362334583730675, | |
| "eval_recall": 0.9327313920170587, | |
| "eval_runtime": 49.1943, | |
| "eval_samples_per_second": 610.111, | |
| "eval_steps_per_second": 1.199, | |
| "step": 1180 | |
| }, | |
| { | |
| "epoch": 3.58, | |
| "learning_rate": 5.9499999999999996e-05, | |
| "loss": 0.1888, | |
| "step": 1190 | |
| }, | |
| { | |
| "epoch": 3.61, | |
| "learning_rate": 6e-05, | |
| "loss": 0.1991, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 3.61, | |
| "eval_accuracy": 0.9395615379489571, | |
| "eval_combined_score": 0.9398781089093659, | |
| "eval_f1": 0.9398246745836987, | |
| "eval_loss": 0.187956303358078, | |
| "eval_precision": 0.9405646851558505, | |
| "eval_recall": 0.9395615379489571, | |
| "eval_runtime": 49.0546, | |
| "eval_samples_per_second": 611.849, | |
| "eval_steps_per_second": 1.203, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 3.64, | |
| "learning_rate": 6.05e-05, | |
| "loss": 0.184, | |
| "step": 1210 | |
| }, | |
| { | |
| "epoch": 3.67, | |
| "learning_rate": 6.1e-05, | |
| "loss": 0.1972, | |
| "step": 1220 | |
| }, | |
| { | |
| "epoch": 3.67, | |
| "eval_accuracy": 0.9347304591190778, | |
| "eval_combined_score": 0.9347275548603768, | |
| "eval_f1": 0.9343894894257468, | |
| "eval_loss": 0.2123294323682785, | |
| "eval_precision": 0.9350598117776048, | |
| "eval_recall": 0.9347304591190778, | |
| "eval_runtime": 49.1469, | |
| "eval_samples_per_second": 610.7, | |
| "eval_steps_per_second": 1.2, | |
| "step": 1220 | |
| }, | |
| { | |
| "epoch": 3.7, | |
| "learning_rate": 6.15e-05, | |
| "loss": 0.2081, | |
| "step": 1230 | |
| }, | |
| { | |
| "epoch": 3.73, | |
| "learning_rate": 6.2e-05, | |
| "loss": 0.1905, | |
| "step": 1240 | |
| }, | |
| { | |
| "epoch": 3.73, | |
| "eval_accuracy": 0.9350636369694143, | |
| "eval_combined_score": 0.9355463954135541, | |
| "eval_f1": 0.9352086535253742, | |
| "eval_loss": 0.20560528337955475, | |
| "eval_precision": 0.936849654190014, | |
| "eval_recall": 0.9350636369694143, | |
| "eval_runtime": 48.922, | |
| "eval_samples_per_second": 613.507, | |
| "eval_steps_per_second": 1.206, | |
| "step": 1240 | |
| }, | |
| { | |
| "epoch": 3.76, | |
| "learning_rate": 6.25e-05, | |
| "loss": 0.1887, | |
| "step": 1250 | |
| }, | |
| { | |
| "epoch": 3.79, | |
| "learning_rate": 6.3e-05, | |
| "loss": 0.1974, | |
| "step": 1260 | |
| }, | |
| { | |
| "epoch": 3.79, | |
| "eval_accuracy": 0.9284667155327514, | |
| "eval_combined_score": 0.9289254664345794, | |
| "eval_f1": 0.9279749557741453, | |
| "eval_loss": 0.24318872392177582, | |
| "eval_precision": 0.9307934788986695, | |
| "eval_recall": 0.9284667155327514, | |
| "eval_runtime": 48.8771, | |
| "eval_samples_per_second": 614.07, | |
| "eval_steps_per_second": 1.207, | |
| "step": 1260 | |
| }, | |
| { | |
| "epoch": 3.82, | |
| "learning_rate": 6.35e-05, | |
| "loss": 0.2053, | |
| "step": 1270 | |
| }, | |
| { | |
| "epoch": 3.85, | |
| "learning_rate": 6.4e-05, | |
| "loss": 0.1831, | |
| "step": 1280 | |
| }, | |
| { | |
| "epoch": 3.85, | |
| "eval_accuracy": 0.9392283600986207, | |
| "eval_combined_score": 0.9394177419543435, | |
| "eval_f1": 0.9390156020685934, | |
| "eval_loss": 0.18808111548423767, | |
| "eval_precision": 0.9401986455515388, | |
| "eval_recall": 0.9392283600986207, | |
| "eval_runtime": 48.9948, | |
| "eval_samples_per_second": 612.596, | |
| "eval_steps_per_second": 1.204, | |
| "step": 1280 | |
| }, | |
| { | |
| "epoch": 3.88, | |
| "learning_rate": 6.450000000000001e-05, | |
| "loss": 0.1957, | |
| "step": 1290 | |
| }, | |
| { | |
| "epoch": 3.91, | |
| "learning_rate": 6.500000000000001e-05, | |
| "loss": 0.1883, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 3.91, | |
| "eval_accuracy": 0.941294062770707, | |
| "eval_combined_score": 0.941598262073596, | |
| "eval_f1": 0.9414926633381392, | |
| "eval_loss": 0.19479438662528992, | |
| "eval_precision": 0.9423122594148309, | |
| "eval_recall": 0.941294062770707, | |
| "eval_runtime": 48.9175, | |
| "eval_samples_per_second": 613.564, | |
| "eval_steps_per_second": 1.206, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 3.94, | |
| "learning_rate": 6.55e-05, | |
| "loss": 0.1965, | |
| "step": 1310 | |
| }, | |
| { | |
| "epoch": 3.97, | |
| "learning_rate": 6.6e-05, | |
| "loss": 0.2023, | |
| "step": 1320 | |
| }, | |
| { | |
| "epoch": 3.97, | |
| "eval_accuracy": 0.9335310188578664, | |
| "eval_combined_score": 0.9345550947345727, | |
| "eval_f1": 0.9343029810913681, | |
| "eval_loss": 0.20408588647842407, | |
| "eval_precision": 0.9368553601311899, | |
| "eval_recall": 0.9335310188578664, | |
| "eval_runtime": 49.2214, | |
| "eval_samples_per_second": 609.775, | |
| "eval_steps_per_second": 1.199, | |
| "step": 1320 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "learning_rate": 6.65e-05, | |
| "loss": 0.1907, | |
| "step": 1330 | |
| }, | |
| { | |
| "epoch": 4.03, | |
| "learning_rate": 6.7e-05, | |
| "loss": 0.1694, | |
| "step": 1340 | |
| }, | |
| { | |
| "epoch": 4.03, | |
| "eval_accuracy": 0.9360298527353902, | |
| "eval_combined_score": 0.9363142224274822, | |
| "eval_f1": 0.9359863994713908, | |
| "eval_loss": 0.20074895024299622, | |
| "eval_precision": 0.9372107847677573, | |
| "eval_recall": 0.9360298527353902, | |
| "eval_runtime": 49.0756, | |
| "eval_samples_per_second": 611.587, | |
| "eval_steps_per_second": 1.202, | |
| "step": 1340 | |
| }, | |
| { | |
| "epoch": 4.06, | |
| "learning_rate": 6.75e-05, | |
| "loss": 0.1678, | |
| "step": 1350 | |
| }, | |
| { | |
| "epoch": 4.09, | |
| "learning_rate": 6.800000000000001e-05, | |
| "loss": 0.1727, | |
| "step": 1360 | |
| }, | |
| { | |
| "epoch": 4.09, | |
| "eval_accuracy": 0.9410941560605051, | |
| "eval_combined_score": 0.9414479845953316, | |
| "eval_f1": 0.9413537047900903, | |
| "eval_loss": 0.19899074733257294, | |
| "eval_precision": 0.9422499214702263, | |
| "eval_recall": 0.9410941560605051, | |
| "eval_runtime": 48.939, | |
| "eval_samples_per_second": 613.294, | |
| "eval_steps_per_second": 1.206, | |
| "step": 1360 | |
| }, | |
| { | |
| "epoch": 4.12, | |
| "learning_rate": 6.850000000000001e-05, | |
| "loss": 0.1671, | |
| "step": 1370 | |
| }, | |
| { | |
| "epoch": 4.15, | |
| "learning_rate": 6.900000000000001e-05, | |
| "loss": 0.1666, | |
| "step": 1380 | |
| }, | |
| { | |
| "epoch": 4.15, | |
| "eval_accuracy": 0.9396948090890918, | |
| "eval_combined_score": 0.9399064543181681, | |
| "eval_f1": 0.9399187035532075, | |
| "eval_loss": 0.1951565146446228, | |
| "eval_precision": 0.9403174955412814, | |
| "eval_recall": 0.9396948090890918, | |
| "eval_runtime": 49.1438, | |
| "eval_samples_per_second": 610.738, | |
| "eval_steps_per_second": 1.201, | |
| "step": 1380 | |
| }, | |
| { | |
| "epoch": 4.18, | |
| "learning_rate": 6.950000000000001e-05, | |
| "loss": 0.1534, | |
| "step": 1390 | |
| }, | |
| { | |
| "epoch": 4.21, | |
| "learning_rate": 7.000000000000001e-05, | |
| "loss": 0.2011, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 4.21, | |
| "eval_accuracy": 0.9384287332578131, | |
| "eval_combined_score": 0.9389423434978216, | |
| "eval_f1": 0.9388320598028991, | |
| "eval_loss": 0.19526319205760956, | |
| "eval_precision": 0.9400798476727612, | |
| "eval_recall": 0.9384287332578131, | |
| "eval_runtime": 48.9255, | |
| "eval_samples_per_second": 613.463, | |
| "eval_steps_per_second": 1.206, | |
| "step": 1400 | |
| } | |
| ], | |
| "logging_steps": 10, | |
| "max_steps": 1660, | |
| "num_train_epochs": 5, | |
| "save_steps": 100, | |
| "total_flos": 1.885912781980631e+17, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |