|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 0.16580310880829016, |
|
"eval_steps": 2, |
|
"global_step": 4, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.04145077720207254, |
|
"grad_norm": 2.2325406074523926, |
|
"learning_rate": 1e-05, |
|
"loss": 3.5141, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.04145077720207254, |
|
"eval_loss": 3.6483120918273926, |
|
"eval_runtime": 44.5168, |
|
"eval_samples_per_second": 0.921, |
|
"eval_steps_per_second": 0.472, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.08290155440414508, |
|
"grad_norm": 2.42509126663208, |
|
"learning_rate": 2e-05, |
|
"loss": 3.5278, |
|
"step": 2 |
|
}, |
|
{ |
|
"epoch": 0.08290155440414508, |
|
"eval_loss": 3.618788242340088, |
|
"eval_runtime": 0.4535, |
|
"eval_samples_per_second": 90.41, |
|
"eval_steps_per_second": 46.308, |
|
"step": 2 |
|
}, |
|
{ |
|
"epoch": 0.12435233160621761, |
|
"grad_norm": 2.4377353191375732, |
|
"learning_rate": 3e-05, |
|
"loss": 3.531, |
|
"step": 3 |
|
}, |
|
{ |
|
"epoch": 0.16580310880829016, |
|
"grad_norm": 2.3675472736358643, |
|
"learning_rate": 4e-05, |
|
"loss": 3.6395, |
|
"step": 4 |
|
}, |
|
{ |
|
"epoch": 0.16580310880829016, |
|
"eval_loss": 3.585569143295288, |
|
"eval_runtime": 0.4516, |
|
"eval_samples_per_second": 90.781, |
|
"eval_steps_per_second": 46.498, |
|
"step": 4 |
|
} |
|
], |
|
"logging_steps": 1, |
|
"max_steps": 5, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 1, |
|
"save_steps": 2, |
|
"stateful_callbacks": { |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": false |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 54868240760832.0, |
|
"train_batch_size": 2, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|