|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 3.3086838534599727, |
|
"eval_steps": 500, |
|
"global_step": 16, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 1.9974521146102535e-05, |
|
"loss": 1.3794, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.35, |
|
"eval_loss": 1.3587424755096436, |
|
"eval_runtime": 21.5907, |
|
"eval_samples_per_second": 13.617, |
|
"eval_steps_per_second": 1.714, |
|
"step": 4 |
|
}, |
|
{ |
|
"epoch": 1.07, |
|
"learning_rate": 1.936949724999762e-05, |
|
"loss": 1.3642, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 1.33, |
|
"eval_loss": 1.3150031566619873, |
|
"eval_runtime": 21.6398, |
|
"eval_samples_per_second": 13.586, |
|
"eval_steps_per_second": 1.71, |
|
"step": 8 |
|
}, |
|
{ |
|
"epoch": 2.15, |
|
"learning_rate": 1.7557495743542586e-05, |
|
"loss": 1.3179, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 2.32, |
|
"eval_loss": 1.2843962907791138, |
|
"eval_runtime": 21.6342, |
|
"eval_samples_per_second": 13.59, |
|
"eval_steps_per_second": 1.71, |
|
"step": 12 |
|
}, |
|
{ |
|
"epoch": 3.22, |
|
"learning_rate": 1.479248986720057e-05, |
|
"loss": 1.2789, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 3.31, |
|
"eval_loss": 1.2639315128326416, |
|
"eval_runtime": 21.5826, |
|
"eval_samples_per_second": 13.622, |
|
"eval_steps_per_second": 1.714, |
|
"step": 16 |
|
}, |
|
{ |
|
"epoch": 3.31, |
|
"step": 16, |
|
"total_flos": 7.473328135392461e+17, |
|
"train_loss": 1.3643869757652283, |
|
"train_runtime": 5803.8585, |
|
"train_samples_per_second": 4.063, |
|
"train_steps_per_second": 0.008 |
|
} |
|
], |
|
"logging_steps": 5, |
|
"max_steps": 44, |
|
"num_train_epochs": 4, |
|
"save_steps": 500, |
|
"total_flos": 7.473328135392461e+17, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|