|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 0.006900120752113162, |
|
"eval_steps": 2, |
|
"global_step": 5, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.0013800241504226323, |
|
"grad_norm": NaN, |
|
"learning_rate": 1e-05, |
|
"loss": 0.0, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.0013800241504226323, |
|
"eval_loss": NaN, |
|
"eval_runtime": 223.2523, |
|
"eval_samples_per_second": 5.469, |
|
"eval_steps_per_second": 2.737, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.0027600483008452647, |
|
"grad_norm": NaN, |
|
"learning_rate": 2e-05, |
|
"loss": 0.0, |
|
"step": 2 |
|
}, |
|
{ |
|
"epoch": 0.0027600483008452647, |
|
"eval_loss": NaN, |
|
"eval_runtime": 47.9688, |
|
"eval_samples_per_second": 25.454, |
|
"eval_steps_per_second": 12.737, |
|
"step": 2 |
|
}, |
|
{ |
|
"epoch": 0.004140072451267897, |
|
"grad_norm": NaN, |
|
"learning_rate": 3e-05, |
|
"loss": 0.0, |
|
"step": 3 |
|
}, |
|
{ |
|
"epoch": 0.005520096601690529, |
|
"grad_norm": NaN, |
|
"learning_rate": 4e-05, |
|
"loss": 0.0, |
|
"step": 4 |
|
}, |
|
{ |
|
"epoch": 0.005520096601690529, |
|
"eval_loss": NaN, |
|
"eval_runtime": 47.9893, |
|
"eval_samples_per_second": 25.443, |
|
"eval_steps_per_second": 12.732, |
|
"step": 4 |
|
}, |
|
{ |
|
"epoch": 0.006900120752113162, |
|
"grad_norm": NaN, |
|
"learning_rate": 5e-05, |
|
"loss": 0.0, |
|
"step": 5 |
|
} |
|
], |
|
"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": true |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 6970544184360960.0, |
|
"train_batch_size": 2, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|