|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 1.993142857142857, |
|
"eval_steps": 500, |
|
"global_step": 218, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.22857142857142856, |
|
"grad_norm": 7.164783477783203, |
|
"learning_rate": 5e-05, |
|
"loss": 6.0925, |
|
"step": 25 |
|
}, |
|
{ |
|
"epoch": 0.45714285714285713, |
|
"grad_norm": 0.9276559352874756, |
|
"learning_rate": 0.0001, |
|
"loss": 0.03, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 0.6857142857142857, |
|
"grad_norm": 2.69968581199646, |
|
"learning_rate": 8.511904761904762e-05, |
|
"loss": 0.0149, |
|
"step": 75 |
|
}, |
|
{ |
|
"epoch": 0.9142857142857143, |
|
"grad_norm": 0.35357868671417236, |
|
"learning_rate": 7.023809523809524e-05, |
|
"loss": 0.0108, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 1.1428571428571428, |
|
"grad_norm": 0.19637013971805573, |
|
"learning_rate": 5.535714285714286e-05, |
|
"loss": 0.0073, |
|
"step": 125 |
|
}, |
|
{ |
|
"epoch": 1.3714285714285714, |
|
"grad_norm": 0.08578420430421829, |
|
"learning_rate": 4.047619047619048e-05, |
|
"loss": 0.0052, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 1.6, |
|
"grad_norm": 0.17291192710399628, |
|
"learning_rate": 2.5595238095238093e-05, |
|
"loss": 0.0064, |
|
"step": 175 |
|
}, |
|
{ |
|
"epoch": 1.8285714285714287, |
|
"grad_norm": 0.08965189754962921, |
|
"learning_rate": 1.0714285714285714e-05, |
|
"loss": 0.0049, |
|
"step": 200 |
|
} |
|
], |
|
"logging_steps": 25, |
|
"max_steps": 218, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 2, |
|
"save_steps": 25, |
|
"stateful_callbacks": { |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": true |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 1.5553403260393152e+16, |
|
"train_batch_size": 2, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|