| { | |
| "best_metric": 0.9071100917431193, | |
| "best_model_checkpoint": "bert-base-uncased-finetuned-sst2/run-0/checkpoint-4210", | |
| "epoch": 5.0, | |
| "eval_steps": 500, | |
| "global_step": 4210, | |
| "is_hyper_param_search": true, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.59, | |
| "grad_norm": 14.076563835144043, | |
| "learning_rate": 2.1488708627178514e-06, | |
| "loss": 0.4976, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.8646788990825688, | |
| "eval_loss": 0.33198288083076477, | |
| "eval_runtime": 2.248, | |
| "eval_samples_per_second": 387.892, | |
| "eval_steps_per_second": 24.466, | |
| "step": 842 | |
| }, | |
| { | |
| "epoch": 1.19, | |
| "grad_norm": 16.497121810913086, | |
| "learning_rate": 1.8592656251547983e-06, | |
| "loss": 0.3072, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 1.78, | |
| "grad_norm": 50.02860641479492, | |
| "learning_rate": 1.5696603875917459e-06, | |
| "loss": 0.3036, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.8876146788990825, | |
| "eval_loss": 0.3288116455078125, | |
| "eval_runtime": 2.3363, | |
| "eval_samples_per_second": 373.233, | |
| "eval_steps_per_second": 23.541, | |
| "step": 1684 | |
| }, | |
| { | |
| "epoch": 2.38, | |
| "grad_norm": 0.35839420557022095, | |
| "learning_rate": 1.280055150028693e-06, | |
| "loss": 0.2703, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 2.97, | |
| "grad_norm": 65.75403594970703, | |
| "learning_rate": 9.904499124656404e-07, | |
| "loss": 0.2546, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.8990825688073395, | |
| "eval_loss": 0.3764495253562927, | |
| "eval_runtime": 2.384, | |
| "eval_samples_per_second": 365.774, | |
| "eval_steps_per_second": 23.071, | |
| "step": 2526 | |
| }, | |
| { | |
| "epoch": 3.56, | |
| "grad_norm": 1.3372397422790527, | |
| "learning_rate": 7.008446749025876e-07, | |
| "loss": 0.2424, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.9025229357798165, | |
| "eval_loss": 0.38221538066864014, | |
| "eval_runtime": 2.405, | |
| "eval_samples_per_second": 362.58, | |
| "eval_steps_per_second": 22.869, | |
| "step": 3368 | |
| }, | |
| { | |
| "epoch": 4.16, | |
| "grad_norm": 0.42396441102027893, | |
| "learning_rate": 4.1123943733953484e-07, | |
| "loss": 0.2215, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 4.75, | |
| "grad_norm": 40.10260772705078, | |
| "learning_rate": 1.2163419977648214e-07, | |
| "loss": 0.2049, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.9071100917431193, | |
| "eval_loss": 0.3858252763748169, | |
| "eval_runtime": 2.444, | |
| "eval_samples_per_second": 356.791, | |
| "eval_steps_per_second": 22.504, | |
| "step": 4210 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 4210, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 5, | |
| "save_steps": 500, | |
| "total_flos": 490559257165560.0, | |
| "train_batch_size": 8, | |
| "trial_name": null, | |
| "trial_params": { | |
| "learning_rate": 2.438476100280904e-06, | |
| "num_train_epochs": 5, | |
| "per_device_train_batch_size": 8, | |
| "seed": 29 | |
| } | |
| } | |