| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 6.0, | |
| "eval_steps": 500, | |
| "global_step": 2544, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.179245283018868, | |
| "grad_norm": 15.49643325805664, | |
| "learning_rate": 2.410377358490566e-05, | |
| "loss": 1.8144, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 2.358490566037736, | |
| "grad_norm": 19.69099998474121, | |
| "learning_rate": 1.8207547169811322e-05, | |
| "loss": 1.0437, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 3.5377358490566038, | |
| "grad_norm": 13.478647232055664, | |
| "learning_rate": 1.2311320754716983e-05, | |
| "loss": 0.4616, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 4.716981132075472, | |
| "grad_norm": 2.125852108001709, | |
| "learning_rate": 6.415094339622642e-06, | |
| "loss": 0.148, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 5.89622641509434, | |
| "grad_norm": 0.09522629529237747, | |
| "learning_rate": 5.188679245283019e-07, | |
| "loss": 0.0987, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "step": 2544, | |
| "total_flos": 3.780810569313792e+16, | |
| "train_loss": 0.7023615477220068, | |
| "train_runtime": 12579.5465, | |
| "train_samples_per_second": 6.46, | |
| "train_steps_per_second": 0.202 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 2544, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 6, | |
| "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": 3.780810569313792e+16, | |
| "train_batch_size": 32, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |