|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 0.0031573131265293236, |
|
"eval_steps": 5, |
|
"global_step": 10, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.00031573131265293233, |
|
"eval_loss": 2.0692930221557617, |
|
"eval_runtime": 245.433, |
|
"eval_samples_per_second": 5.435, |
|
"eval_steps_per_second": 2.718, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.000947193937958797, |
|
"grad_norm": 1.692325234413147, |
|
"learning_rate": 6e-05, |
|
"loss": 7.9621, |
|
"step": 3 |
|
}, |
|
{ |
|
"epoch": 0.0015786565632646618, |
|
"eval_loss": 2.026681900024414, |
|
"eval_runtime": 247.2335, |
|
"eval_samples_per_second": 5.396, |
|
"eval_steps_per_second": 2.698, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 0.001894387875917594, |
|
"grad_norm": 2.0406484603881836, |
|
"learning_rate": 0.00012, |
|
"loss": 7.7044, |
|
"step": 6 |
|
}, |
|
{ |
|
"epoch": 0.0028415818138763913, |
|
"grad_norm": 2.049513101577759, |
|
"learning_rate": 0.00018, |
|
"loss": 7.7549, |
|
"step": 9 |
|
}, |
|
{ |
|
"epoch": 0.0031573131265293236, |
|
"eval_loss": 1.6765570640563965, |
|
"eval_runtime": 247.086, |
|
"eval_samples_per_second": 5.399, |
|
"eval_steps_per_second": 2.699, |
|
"step": 10 |
|
} |
|
], |
|
"logging_steps": 3, |
|
"max_steps": 30, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 1, |
|
"save_steps": 10, |
|
"stateful_callbacks": { |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": false |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 6347829962342400.0, |
|
"train_batch_size": 2, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|