|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 0.014134275618374558, |
|
"eval_steps": 5, |
|
"global_step": 5, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.0028268551236749115, |
|
"grad_norm": NaN, |
|
"learning_rate": 0.0, |
|
"loss": 7.6743, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.0028268551236749115, |
|
"eval_loss": 7.129258632659912, |
|
"eval_runtime": 20.9973, |
|
"eval_samples_per_second": 28.385, |
|
"eval_steps_per_second": 3.572, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.005653710247349823, |
|
"grad_norm": NaN, |
|
"learning_rate": 0.0, |
|
"loss": 7.3349, |
|
"step": 2 |
|
}, |
|
{ |
|
"epoch": 0.008480565371024734, |
|
"grad_norm": 5.082520484924316, |
|
"learning_rate": 2e-05, |
|
"loss": 7.4669, |
|
"step": 3 |
|
}, |
|
{ |
|
"epoch": 0.011307420494699646, |
|
"grad_norm": 4.920047760009766, |
|
"learning_rate": 4e-05, |
|
"loss": 7.1521, |
|
"step": 4 |
|
}, |
|
{ |
|
"epoch": 0.014134275618374558, |
|
"grad_norm": NaN, |
|
"learning_rate": 4e-05, |
|
"loss": 7.7426, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 0.014134275618374558, |
|
"eval_loss": 7.097348213195801, |
|
"eval_runtime": 20.8903, |
|
"eval_samples_per_second": 28.53, |
|
"eval_steps_per_second": 3.59, |
|
"step": 5 |
|
} |
|
], |
|
"logging_steps": 1, |
|
"max_steps": 20, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 1, |
|
"save_steps": 5, |
|
"stateful_callbacks": { |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": false |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 6719419828928512.0, |
|
"train_batch_size": 1, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|