|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 3.248730964467005, |
|
"eval_steps": 500, |
|
"global_step": 5, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.65, |
|
"eval_loss": 1.0991822481155396, |
|
"eval_runtime": 73.7864, |
|
"eval_samples_per_second": 2.67, |
|
"eval_steps_per_second": 2.67, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 1.95, |
|
"eval_loss": 1.0894932746887207, |
|
"eval_runtime": 73.7905, |
|
"eval_samples_per_second": 2.67, |
|
"eval_steps_per_second": 2.67, |
|
"step": 3 |
|
}, |
|
{ |
|
"epoch": 2.6, |
|
"eval_loss": 1.087380290031433, |
|
"eval_runtime": 73.7864, |
|
"eval_samples_per_second": 2.67, |
|
"eval_steps_per_second": 2.67, |
|
"step": 4 |
|
}, |
|
{ |
|
"epoch": 3.25, |
|
"grad_norm": 0.20658676326274872, |
|
"learning_rate": 0.0, |
|
"loss": 1.092, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 3.25, |
|
"eval_loss": 1.0868003368377686, |
|
"eval_runtime": 73.782, |
|
"eval_samples_per_second": 2.67, |
|
"eval_steps_per_second": 2.67, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 3.25, |
|
"step": 5, |
|
"total_flos": 5.634931594100736e+16, |
|
"train_loss": 1.0919825553894043, |
|
"train_runtime": 964.1278, |
|
"train_samples_per_second": 1.022, |
|
"train_steps_per_second": 0.005 |
|
} |
|
], |
|
"logging_steps": 5, |
|
"max_steps": 5, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 5, |
|
"save_steps": 500, |
|
"total_flos": 5.634931594100736e+16, |
|
"train_batch_size": 1, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|