| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 0.23684210526315788, | |
| "eval_steps": 9, | |
| "global_step": 9, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.02631578947368421, | |
| "eval_loss": 1.6184024810791016, | |
| "eval_runtime": 4.386, | |
| "eval_samples_per_second": 14.592, | |
| "eval_steps_per_second": 1.824, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.07894736842105263, | |
| "grad_norm": 25.33377456665039, | |
| "learning_rate": 3e-05, | |
| "loss": 6.2534, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 0.15789473684210525, | |
| "grad_norm": 19.7912540435791, | |
| "learning_rate": 6e-05, | |
| "loss": 6.0633, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.23684210526315788, | |
| "grad_norm": 17.20012855529785, | |
| "learning_rate": 9e-05, | |
| "loss": 5.0168, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 0.23684210526315788, | |
| "eval_loss": 1.0376337766647339, | |
| "eval_runtime": 4.4723, | |
| "eval_samples_per_second": 14.31, | |
| "eval_steps_per_second": 1.789, | |
| "step": 9 | |
| } | |
| ], | |
| "logging_steps": 3, | |
| "max_steps": 100, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 3, | |
| "save_steps": 9, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": false | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 1.2656345471778816e+16, | |
| "train_batch_size": 8, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |