|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 0.0009254305420998598, |
|
"eval_steps": 2, |
|
"global_step": 4, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.00023135763552496494, |
|
"grad_norm": 0.9703558683395386, |
|
"learning_rate": 1e-05, |
|
"loss": 1.6578, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.00023135763552496494, |
|
"eval_loss": 2.1697514057159424, |
|
"eval_runtime": 369.8016, |
|
"eval_samples_per_second": 19.686, |
|
"eval_steps_per_second": 9.843, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.0004627152710499299, |
|
"grad_norm": 2.0454063415527344, |
|
"learning_rate": 2e-05, |
|
"loss": 2.078, |
|
"step": 2 |
|
}, |
|
{ |
|
"epoch": 0.0004627152710499299, |
|
"eval_loss": 2.127061128616333, |
|
"eval_runtime": 193.7546, |
|
"eval_samples_per_second": 37.573, |
|
"eval_steps_per_second": 18.787, |
|
"step": 2 |
|
}, |
|
{ |
|
"epoch": 0.0006940729065748948, |
|
"grad_norm": 1.6047369241714478, |
|
"learning_rate": 3e-05, |
|
"loss": 2.1175, |
|
"step": 3 |
|
}, |
|
{ |
|
"epoch": 0.0009254305420998598, |
|
"grad_norm": 1.6281163692474365, |
|
"learning_rate": 4e-05, |
|
"loss": 2.1508, |
|
"step": 4 |
|
}, |
|
{ |
|
"epoch": 0.0009254305420998598, |
|
"eval_loss": 2.0870847702026367, |
|
"eval_runtime": 176.1345, |
|
"eval_samples_per_second": 41.332, |
|
"eval_steps_per_second": 20.666, |
|
"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": 2636516677386240.0, |
|
"train_batch_size": 2, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|