{ "best_metric": null, "best_model_checkpoint": null, "epoch": 8.547008547008547, "eval_steps": 30, "global_step": 1000, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.2564102564102564, "eval_accuracy": 0.33653846153846156, "eval_f1": 0.15795586527293845, "eval_loss": 1.5857505798339844, "eval_precision": 0.15263157894736842, "eval_recall": 0.20117770428329435, "eval_runtime": 8.6482, "eval_samples_per_second": 12.026, "eval_steps_per_second": 1.503, "step": 30 }, { "epoch": 0.5128205128205128, "eval_accuracy": 0.46153846153846156, "eval_f1": 0.2013725205214567, "eval_loss": 1.4627048969268799, "eval_precision": 0.25281954887218044, "eval_recall": 0.2350972009357102, "eval_runtime": 8.4187, "eval_samples_per_second": 12.353, "eval_steps_per_second": 1.544, "step": 60 }, { "epoch": 0.7692307692307693, "eval_accuracy": 0.6153846153846154, "eval_f1": 0.37538782821801686, "eval_loss": 1.1772669553756714, "eval_precision": 0.35533996281025143, "eval_recall": 0.40736468500443657, "eval_runtime": 7.8916, "eval_samples_per_second": 13.179, "eval_steps_per_second": 1.647, "step": 90 }, { "epoch": 1.0256410256410255, "eval_accuracy": 0.6057692307692307, "eval_f1": 0.36798810227453504, "eval_loss": 1.1327857971191406, "eval_precision": 0.38458852974982005, "eval_recall": 0.37962410260546914, "eval_runtime": 9.4477, "eval_samples_per_second": 11.008, "eval_steps_per_second": 1.376, "step": 120 }, { "epoch": 1.282051282051282, "eval_accuracy": 0.6538461538461539, "eval_f1": 0.41900575614861335, "eval_loss": 1.0890244245529175, "eval_precision": 0.5082160450387051, "eval_recall": 0.43861238830182936, "eval_runtime": 7.2525, "eval_samples_per_second": 14.34, "eval_steps_per_second": 1.792, "step": 150 }, { "epoch": 1.5384615384615383, "eval_accuracy": 0.6057692307692307, "eval_f1": 0.3925319620409576, "eval_loss": 1.1820482015609741, "eval_precision": 0.4949262737968994, "eval_recall": 0.42246331997884795, "eval_runtime": 7.3455, "eval_samples_per_second": 14.158, "eval_steps_per_second": 1.77, "step": 180 }, { "epoch": 1.7948717948717947, "eval_accuracy": 0.6442307692307693, "eval_f1": 0.42451081809572366, "eval_loss": 1.0674420595169067, "eval_precision": 0.42179487179487174, "eval_recall": 0.4413065885115575, "eval_runtime": 7.8787, "eval_samples_per_second": 13.2, "eval_steps_per_second": 1.65, "step": 210 }, { "epoch": 2.051282051282051, "eval_accuracy": 0.6730769230769231, "eval_f1": 0.45817680472411926, "eval_loss": 1.0437394380569458, "eval_precision": 0.4717732448710709, "eval_recall": 0.46608498471852516, "eval_runtime": 7.3406, "eval_samples_per_second": 14.168, "eval_steps_per_second": 1.771, "step": 240 }, { "epoch": 2.3076923076923075, "eval_accuracy": 0.6634615384615384, "eval_f1": 0.44733091369464534, "eval_loss": 1.1606773138046265, "eval_precision": 0.4613468768074031, "eval_recall": 0.46812400849667934, "eval_runtime": 7.0489, "eval_samples_per_second": 14.754, "eval_steps_per_second": 1.844, "step": 270 }, { "epoch": 2.564102564102564, "eval_accuracy": 0.625, "eval_f1": 0.4062809568796815, "eval_loss": 1.2771650552749634, "eval_precision": 0.41611170784103113, "eval_recall": 0.4306409256719816, "eval_runtime": 7.1782, "eval_samples_per_second": 14.488, "eval_steps_per_second": 1.811, "step": 300 }, { "epoch": 2.8205128205128203, "eval_accuracy": 0.6153846153846154, "eval_f1": 0.40669330669330667, "eval_loss": 1.0749222040176392, "eval_precision": 0.4599390919158361, "eval_recall": 0.4225825244458785, "eval_runtime": 7.4587, "eval_samples_per_second": 13.943, "eval_steps_per_second": 1.743, "step": 330 }, { "epoch": 3.076923076923077, "eval_accuracy": 0.625, "eval_f1": 0.42567364176740446, "eval_loss": 1.1399219036102295, "eval_precision": 0.46537455679332107, "eval_recall": 0.45866383444023195, "eval_runtime": 9.0954, "eval_samples_per_second": 11.434, "eval_steps_per_second": 1.429, "step": 360 }, { "epoch": 3.3333333333333335, "eval_accuracy": 0.6538461538461539, "eval_f1": 0.4619962083193933, "eval_loss": 1.0954734086990356, "eval_precision": 0.4735928232168834, "eval_recall": 0.48448101243132297, "eval_runtime": 8.1347, "eval_samples_per_second": 12.785, "eval_steps_per_second": 1.598, "step": 390 }, { "epoch": 3.58974358974359, "eval_accuracy": 0.6346153846153846, "eval_f1": 0.4427206780147956, "eval_loss": 1.2177672386169434, "eval_precision": 0.45063474537158743, "eval_recall": 0.4697516424224498, "eval_runtime": 7.1682, "eval_samples_per_second": 14.509, "eval_steps_per_second": 1.814, "step": 420 }, { "epoch": 3.8461538461538463, "eval_accuracy": 0.625, "eval_f1": 0.42804680076021545, "eval_loss": 1.3288222551345825, "eval_precision": 0.4205708300859973, "eval_recall": 0.46260295949736946, "eval_runtime": 7.5635, "eval_samples_per_second": 13.75, "eval_steps_per_second": 1.719, "step": 450 }, { "epoch": 4.102564102564102, "eval_accuracy": 0.7019230769230769, "eval_f1": 0.5106953307638845, "eval_loss": 1.0881779193878174, "eval_precision": 0.523184558376196, "eval_recall": 0.5067507371855199, "eval_runtime": 7.5106, "eval_samples_per_second": 13.847, "eval_steps_per_second": 1.731, "step": 480 }, { "epoch": 4.273504273504273, "grad_norm": 7.013587474822998, "learning_rate": 3.575498575498576e-05, "loss": 0.9258, "step": 500 }, { "epoch": 4.358974358974359, "eval_accuracy": 0.7115384615384616, "eval_f1": 0.49821801060849874, "eval_loss": 1.1554274559020996, "eval_precision": 0.49124649859943975, "eval_recall": 0.5149140024916423, "eval_runtime": 50.6521, "eval_samples_per_second": 2.053, "eval_steps_per_second": 0.257, "step": 510 }, { "epoch": 4.615384615384615, "eval_accuracy": 0.6923076923076923, "eval_f1": 0.49742827816559965, "eval_loss": 1.4417259693145752, "eval_precision": 0.5, "eval_recall": 0.5011042097998619, "eval_runtime": 103.6054, "eval_samples_per_second": 1.004, "eval_steps_per_second": 0.125, "step": 540 }, { "epoch": 4.871794871794872, "eval_accuracy": 0.6923076923076923, "eval_f1": 0.4863793250320917, "eval_loss": 1.1507378816604614, "eval_precision": 0.48549534756431306, "eval_recall": 0.5111003558208527, "eval_runtime": 75.6676, "eval_samples_per_second": 1.374, "eval_steps_per_second": 0.172, "step": 570 }, { "epoch": 5.128205128205128, "eval_accuracy": 0.6634615384615384, "eval_f1": 0.48039244705911377, "eval_loss": 1.2641137838363647, "eval_precision": 0.49331432177614126, "eval_recall": 0.47660813996217727, "eval_runtime": 42.9337, "eval_samples_per_second": 2.422, "eval_steps_per_second": 0.303, "step": 600 }, { "epoch": 5.384615384615385, "eval_accuracy": 0.6923076923076923, "eval_f1": 0.4878689679921483, "eval_loss": 1.3560154438018799, "eval_precision": 0.4848901098901099, "eval_recall": 0.4981276832208509, "eval_runtime": 8.8339, "eval_samples_per_second": 11.773, "eval_steps_per_second": 1.472, "step": 630 }, { "epoch": 5.641025641025641, "eval_accuracy": 0.6923076923076923, "eval_f1": 0.48765147825687144, "eval_loss": 1.484885334968567, "eval_precision": 0.4961309523809524, "eval_recall": 0.49494501357855397, "eval_runtime": 7.535, "eval_samples_per_second": 13.802, "eval_steps_per_second": 1.725, "step": 660 }, { "epoch": 5.897435897435898, "eval_accuracy": 0.6923076923076923, "eval_f1": 0.4755107161831651, "eval_loss": 1.0820866823196411, "eval_precision": 0.46649659863945575, "eval_recall": 0.4995007752771728, "eval_runtime": 7.4913, "eval_samples_per_second": 13.883, "eval_steps_per_second": 1.735, "step": 690 }, { "epoch": 6.153846153846154, "eval_accuracy": 0.7115384615384616, "eval_f1": 0.5779124103915706, "eval_loss": 1.2979052066802979, "eval_precision": 0.5928430383317601, "eval_recall": 0.5695562546494223, "eval_runtime": 7.5001, "eval_samples_per_second": 13.866, "eval_steps_per_second": 1.733, "step": 720 }, { "epoch": 6.410256410256411, "eval_accuracy": 0.7115384615384616, "eval_f1": 0.5007207127411731, "eval_loss": 1.4726945161819458, "eval_precision": 0.4985431235431235, "eval_recall": 0.5046211897143573, "eval_runtime": 7.4555, "eval_samples_per_second": 13.949, "eval_steps_per_second": 1.744, "step": 750 }, { "epoch": 6.666666666666667, "eval_accuracy": 0.6826923076923077, "eval_f1": 0.49164104194549385, "eval_loss": 1.5962382555007935, "eval_precision": 0.48890290995554153, "eval_recall": 0.49645792440823505, "eval_runtime": 7.8196, "eval_samples_per_second": 13.3, "eval_steps_per_second": 1.662, "step": 780 }, { "epoch": 6.923076923076923, "eval_accuracy": 0.7211538461538461, "eval_f1": 0.5234641383494542, "eval_loss": 1.2745909690856934, "eval_precision": 0.5273022215879359, "eval_recall": 0.5242791714841405, "eval_runtime": 7.0448, "eval_samples_per_second": 14.763, "eval_steps_per_second": 1.845, "step": 810 }, { "epoch": 7.17948717948718, "eval_accuracy": 0.6538461538461539, "eval_f1": 0.4674051433314255, "eval_loss": 2.0724053382873535, "eval_precision": 0.5055194805194805, "eval_recall": 0.4713972018319845, "eval_runtime": 8.5997, "eval_samples_per_second": 12.093, "eval_steps_per_second": 1.512, "step": 840 }, { "epoch": 7.435897435897436, "eval_accuracy": 0.6826923076923077, "eval_f1": 0.559112957131097, "eval_loss": 1.8112683296203613, "eval_precision": 0.6143772893772894, "eval_recall": 0.5511665008559419, "eval_runtime": 8.6462, "eval_samples_per_second": 12.028, "eval_steps_per_second": 1.504, "step": 870 }, { "epoch": 7.6923076923076925, "eval_accuracy": 0.7307692307692307, "eval_f1": 0.5986119673110736, "eval_loss": 1.5658988952636719, "eval_precision": 0.6397901095922239, "eval_recall": 0.5927312163337008, "eval_runtime": 8.5049, "eval_samples_per_second": 12.228, "eval_steps_per_second": 1.529, "step": 900 }, { "epoch": 7.948717948717949, "eval_accuracy": 0.7019230769230769, "eval_f1": 0.5792037287395081, "eval_loss": 1.473520278930664, "eval_precision": 0.5669774028567353, "eval_recall": 0.619092432757029, "eval_runtime": 8.1417, "eval_samples_per_second": 12.774, "eval_steps_per_second": 1.597, "step": 930 }, { "epoch": 8.205128205128204, "eval_accuracy": 0.7019230769230769, "eval_f1": 0.5951573832227319, "eval_loss": 1.7524921894073486, "eval_precision": 0.5870032223415682, "eval_recall": 0.6328215607718713, "eval_runtime": 6.8175, "eval_samples_per_second": 15.255, "eval_steps_per_second": 1.907, "step": 960 }, { "epoch": 8.461538461538462, "eval_accuracy": 0.7115384615384616, "eval_f1": 0.5830133910730354, "eval_loss": 1.7076036930084229, "eval_precision": 0.5997339127038376, "eval_recall": 0.5719681284898676, "eval_runtime": 7.3179, "eval_samples_per_second": 14.212, "eval_steps_per_second": 1.776, "step": 990 }, { "epoch": 8.547008547008547, "grad_norm": 0.23315642774105072, "learning_rate": 2.150997150997151e-05, "loss": 0.2238, "step": 1000 } ], "logging_steps": 500, "max_steps": 1755, "num_input_tokens_seen": 0, "num_train_epochs": 15, "save_steps": 500, "total_flos": 5649929338176000.0, "train_batch_size": 8, "trial_name": null, "trial_params": null }