| { | |
| "best_global_step": null, | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 2.0, | |
| "eval_steps": 500, | |
| "global_step": 34, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.058823529411764705, | |
| "grad_norm": 19.060205459594727, | |
| "learning_rate": 2.5e-08, | |
| "loss": 0.1856, | |
| "num_input_tokens_seen": 30264, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.5882352941176471, | |
| "grad_norm": 15.253729820251465, | |
| "learning_rate": 9.045084971874737e-08, | |
| "loss": 0.1248, | |
| "num_input_tokens_seen": 288472, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 1.1764705882352942, | |
| "grad_norm": 12.735420227050781, | |
| "learning_rate": 4.477357683661733e-08, | |
| "loss": 0.1341, | |
| "num_input_tokens_seen": 575560, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 1.7647058823529411, | |
| "grad_norm": 7.144538402557373, | |
| "learning_rate": 4.322727117869951e-09, | |
| "loss": 0.1508, | |
| "num_input_tokens_seen": 869208, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "num_input_tokens_seen": 977792, | |
| "step": 34, | |
| "total_flos": 5267146031104.0, | |
| "train_loss": 0.12937388700597427, | |
| "train_runtime": 896.4768, | |
| "train_samples_per_second": 0.303, | |
| "train_steps_per_second": 0.038 | |
| } | |
| ], | |
| "logging_steps": 10, | |
| "max_steps": 34, | |
| "num_input_tokens_seen": 977792, | |
| "num_train_epochs": 2, | |
| "save_steps": 500, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": true | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 5267146031104.0, | |
| "train_batch_size": 1, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |