{ "best_metric": 0.8405088062622309, "best_model_checkpoint": "tiny-bert-sst2-distilled/run-14/checkpoint-864", "epoch": 9.0, "eval_steps": 500, "global_step": 864, "is_hyper_param_search": true, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 1.0, "grad_norm": 2.5439341068267822, "learning_rate": 0.00025636357557273684, "loss": 0.5365, "step": 96 }, { "epoch": 1.0, "eval_accuracy": 0.7935420743639922, "eval_f1": 0.8087035358114234, "eval_loss": 0.4461754560470581, "eval_precision": 0.7533783783783784, "eval_recall": 0.87279843444227, "eval_runtime": 25.9122, "eval_samples_per_second": 39.441, "eval_steps_per_second": 1.235, "step": 96 }, { "epoch": 2.0, "grad_norm": 4.693763732910156, "learning_rate": 0.00022787873384243272, "loss": 0.4548, "step": 192 }, { "epoch": 2.0, "eval_accuracy": 0.8003913894324853, "eval_f1": 0.8216783216783217, "eval_loss": 0.43167614936828613, "eval_precision": 0.7424960505529226, "eval_recall": 0.9197651663405088, "eval_runtime": 25.6332, "eval_samples_per_second": 39.87, "eval_steps_per_second": 1.248, "step": 192 }, { "epoch": 3.0, "grad_norm": 3.1225955486297607, "learning_rate": 0.00019939389211212863, "loss": 0.4276, "step": 288 }, { "epoch": 3.0, "eval_accuracy": 0.812133072407045, "eval_f1": 0.8282647584973166, "eval_loss": 0.4346017837524414, "eval_precision": 0.7627677100494233, "eval_recall": 0.9060665362035225, "eval_runtime": 25.7026, "eval_samples_per_second": 39.762, "eval_steps_per_second": 1.245, "step": 288 }, { "epoch": 4.0, "grad_norm": 2.9123752117156982, "learning_rate": 0.00017090905038182454, "loss": 0.4092, "step": 384 }, { "epoch": 4.0, "eval_accuracy": 0.8228962818003914, "eval_f1": 0.8297271872060207, "eval_loss": 0.3994919955730438, "eval_precision": 0.7989130434782609, "eval_recall": 0.863013698630137, "eval_runtime": 25.5493, "eval_samples_per_second": 40.001, "eval_steps_per_second": 1.252, "step": 384 }, { "epoch": 5.0, "grad_norm": 2.3602194786071777, "learning_rate": 0.00014242420865152045, "loss": 0.3965, "step": 480 }, { "epoch": 5.0, "eval_accuracy": 0.824853228962818, "eval_f1": 0.8306527909176915, "eval_loss": 0.407778263092041, "eval_precision": 0.8040293040293041, "eval_recall": 0.8590998043052838, "eval_runtime": 25.3461, "eval_samples_per_second": 40.322, "eval_steps_per_second": 1.263, "step": 480 }, { "epoch": 6.0, "grad_norm": 2.538515567779541, "learning_rate": 0.00011393936692121636, "loss": 0.3968, "step": 576 }, { "epoch": 6.0, "eval_accuracy": 0.8317025440313112, "eval_f1": 0.8477876106194692, "eval_loss": 0.4041251838207245, "eval_precision": 0.7738287560581584, "eval_recall": 0.9373776908023483, "eval_runtime": 25.09, "eval_samples_per_second": 40.733, "eval_steps_per_second": 1.275, "step": 576 }, { "epoch": 7.0, "grad_norm": 2.204845428466797, "learning_rate": 8.545452519091227e-05, "loss": 0.3854, "step": 672 }, { "epoch": 7.0, "eval_accuracy": 0.8365949119373777, "eval_f1": 0.8499550763701708, "eval_loss": 0.39838555455207825, "eval_precision": 0.7857142857142857, "eval_recall": 0.9256360078277887, "eval_runtime": 24.9237, "eval_samples_per_second": 41.005, "eval_steps_per_second": 1.284, "step": 672 }, { "epoch": 8.0, "grad_norm": 2.975243091583252, "learning_rate": 5.696968346060818e-05, "loss": 0.3772, "step": 768 }, { "epoch": 8.0, "eval_accuracy": 0.837573385518591, "eval_f1": 0.8520499108734402, "eval_loss": 0.39499443769454956, "eval_precision": 0.7823240589198036, "eval_recall": 0.9354207436399217, "eval_runtime": 24.9105, "eval_samples_per_second": 41.027, "eval_steps_per_second": 1.285, "step": 768 }, { "epoch": 9.0, "grad_norm": 3.0168142318725586, "learning_rate": 2.848484173030409e-05, "loss": 0.372, "step": 864 }, { "epoch": 9.0, "eval_accuracy": 0.8405088062622309, "eval_f1": 0.8500459981600736, "eval_loss": 0.3911450505256653, "eval_precision": 0.8020833333333334, "eval_recall": 0.9041095890410958, "eval_runtime": 24.8944, "eval_samples_per_second": 41.053, "eval_steps_per_second": 1.285, "step": 864 } ], "logging_steps": 500, "max_steps": 960, "num_input_tokens_seen": 0, "num_train_epochs": 10, "save_steps": 500, "total_flos": 2121256775520.0, "train_batch_size": 32, "trial_name": null, "trial_params": { "alpha": 0.8320855687119669, "learning_rate": 0.0002848484173030409, "num_train_epochs": 10, "temperature": 8 } }