| { | |
| "best_global_step": null, | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 3.0, | |
| "eval_steps": 500, | |
| "global_step": 33, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "entropy": 3.409710544347763, | |
| "epoch": 0.9302325581395349, | |
| "grad_norm": 3.647934913635254, | |
| "learning_rate": 0.0002, | |
| "loss": 3.7439, | |
| "mean_token_accuracy": 0.38004436269402503, | |
| "num_tokens": 1515.0, | |
| "step": 10 | |
| }, | |
| { | |
| "entropy": 1.9291726778715084, | |
| "epoch": 1.8372093023255816, | |
| "grad_norm": 2.9668562412261963, | |
| "learning_rate": 0.0002, | |
| "loss": 1.6097, | |
| "mean_token_accuracy": 0.6647876837314703, | |
| "num_tokens": 3024.0, | |
| "step": 20 | |
| }, | |
| { | |
| "entropy": 1.4819405537385206, | |
| "epoch": 2.744186046511628, | |
| "grad_norm": 3.0126216411590576, | |
| "learning_rate": 0.0002, | |
| "loss": 1.0587, | |
| "mean_token_accuracy": 0.7289426051653348, | |
| "num_tokens": 4458.0, | |
| "step": 30 | |
| } | |
| ], | |
| "logging_steps": 10, | |
| "max_steps": 33, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 3, | |
| "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": 79329025290240.0, | |
| "train_batch_size": 2, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |