|
{ |
|
"best_metric": 0.8155183792114258, |
|
"best_model_checkpoint": "./output/training_results/C020_Meta-Llama-3-8B_instruct_20240729_032429/checkpoint-10", |
|
"epoch": 0.20833333333333334, |
|
"eval_steps": 5, |
|
"global_step": 10, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.020833333333333332, |
|
"grad_norm": 0.0, |
|
"learning_rate": 0.0, |
|
"loss": 1.0187, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.0625, |
|
"grad_norm": 0.0, |
|
"learning_rate": 0.0, |
|
"loss": 0.946, |
|
"step": 3 |
|
}, |
|
{ |
|
"epoch": 0.10416666666666667, |
|
"eval_loss": 1.0251731872558594, |
|
"eval_runtime": 0.8943, |
|
"eval_samples_per_second": 380.189, |
|
"eval_steps_per_second": 3.355, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 0.125, |
|
"grad_norm": 13.805769787987279, |
|
"learning_rate": 2.25e-06, |
|
"loss": 1.0778, |
|
"step": 6 |
|
}, |
|
{ |
|
"epoch": 0.1875, |
|
"grad_norm": 5.41697677358006, |
|
"learning_rate": 2.865909090909091e-06, |
|
"loss": 0.8781, |
|
"step": 9 |
|
}, |
|
{ |
|
"epoch": 0.20833333333333334, |
|
"eval_loss": 0.8155183792114258, |
|
"eval_runtime": 0.8756, |
|
"eval_samples_per_second": 388.315, |
|
"eval_steps_per_second": 3.426, |
|
"step": 10 |
|
} |
|
], |
|
"logging_steps": 3, |
|
"max_steps": 48, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 1, |
|
"save_steps": 10, |
|
"total_flos": 207641640960.0, |
|
"train_batch_size": 8, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|