|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 5.0, |
|
"eval_steps": 500, |
|
"global_step": 4460, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"grad_norm": 0.5049543976783752, |
|
"learning_rate": 0.0008, |
|
"loss": 0.8224, |
|
"step": 892 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_gen_len": 1.0, |
|
"eval_loss": 0.5704124569892883, |
|
"eval_rouge1": 0.6572, |
|
"eval_rouge2": 0.0, |
|
"eval_rougeL": 0.6564, |
|
"eval_rougeLsum": 0.655, |
|
"eval_runtime": 38.0247, |
|
"eval_samples_per_second": 19.724, |
|
"eval_steps_per_second": 0.631, |
|
"step": 892 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"grad_norm": 0.47203755378723145, |
|
"learning_rate": 0.0006, |
|
"loss": 0.6196, |
|
"step": 1784 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_gen_len": 1.0, |
|
"eval_loss": 0.5431475043296814, |
|
"eval_rouge1": 0.6602, |
|
"eval_rouge2": 0.0, |
|
"eval_rougeL": 0.6579, |
|
"eval_rougeLsum": 0.6606, |
|
"eval_runtime": 37.5492, |
|
"eval_samples_per_second": 19.974, |
|
"eval_steps_per_second": 0.639, |
|
"step": 1784 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"grad_norm": 0.5097192525863647, |
|
"learning_rate": 0.0004, |
|
"loss": 0.5778, |
|
"step": 2676 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_gen_len": 1.0, |
|
"eval_loss": 0.5372552871704102, |
|
"eval_rouge1": 0.6757, |
|
"eval_rouge2": 0.0, |
|
"eval_rougeL": 0.6756, |
|
"eval_rougeLsum": 0.6745, |
|
"eval_runtime": 38.295, |
|
"eval_samples_per_second": 19.585, |
|
"eval_steps_per_second": 0.627, |
|
"step": 2676 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"grad_norm": 0.4385349154472351, |
|
"learning_rate": 0.0002, |
|
"loss": 0.5503, |
|
"step": 3568 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_gen_len": 1.0, |
|
"eval_loss": 0.525574266910553, |
|
"eval_rouge1": 0.659, |
|
"eval_rouge2": 0.0, |
|
"eval_rougeL": 0.6569, |
|
"eval_rougeLsum": 0.6586, |
|
"eval_runtime": 38.268, |
|
"eval_samples_per_second": 19.599, |
|
"eval_steps_per_second": 0.627, |
|
"step": 3568 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"grad_norm": 0.4007055461406708, |
|
"learning_rate": 0.0, |
|
"loss": 0.5343, |
|
"step": 4460 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_gen_len": 1.0, |
|
"eval_loss": 0.5211541056632996, |
|
"eval_rouge1": 0.6659, |
|
"eval_rouge2": 0.0, |
|
"eval_rougeL": 0.6648, |
|
"eval_rougeLsum": 0.6661, |
|
"eval_runtime": 38.0598, |
|
"eval_samples_per_second": 19.706, |
|
"eval_steps_per_second": 0.631, |
|
"step": 4460 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"step": 4460, |
|
"total_flos": 4.90582346563584e+16, |
|
"train_loss": 0.6208877221351247, |
|
"train_runtime": 3924.9461, |
|
"train_samples_per_second": 18.181, |
|
"train_steps_per_second": 1.136 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 4460, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 5, |
|
"save_steps": 500, |
|
"total_flos": 4.90582346563584e+16, |
|
"train_batch_size": 16, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|