|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 5.0, |
|
"eval_steps": 500, |
|
"global_step": 4470, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"grad_norm": 3.2107882499694824, |
|
"learning_rate": 0.0008, |
|
"loss": 2.436, |
|
"step": 894 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_gen_len": 1.0, |
|
"eval_loss": 1.2680302858352661, |
|
"eval_rouge1": 0.0305, |
|
"eval_rouge2": 0.0, |
|
"eval_rougeL": 0.0305, |
|
"eval_rougeLsum": 0.0305, |
|
"eval_runtime": 59.1776, |
|
"eval_samples_per_second": 12.623, |
|
"eval_steps_per_second": 0.406, |
|
"step": 894 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"grad_norm": 2.9003331661224365, |
|
"learning_rate": 0.0006, |
|
"loss": 1.5097, |
|
"step": 1788 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_gen_len": 1.0, |
|
"eval_loss": 0.9425563812255859, |
|
"eval_rouge1": 0.0223, |
|
"eval_rouge2": 0.0, |
|
"eval_rougeL": 0.0223, |
|
"eval_rougeLsum": 0.0223, |
|
"eval_runtime": 62.6611, |
|
"eval_samples_per_second": 11.921, |
|
"eval_steps_per_second": 0.383, |
|
"step": 1788 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"grad_norm": 3.4691579341888428, |
|
"learning_rate": 0.0004, |
|
"loss": 1.2078, |
|
"step": 2682 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_gen_len": 1.0, |
|
"eval_loss": 0.7914846539497375, |
|
"eval_rouge1": 0.1643, |
|
"eval_rouge2": 0.0, |
|
"eval_rougeL": 0.1641, |
|
"eval_rougeLsum": 0.1639, |
|
"eval_runtime": 62.5819, |
|
"eval_samples_per_second": 11.936, |
|
"eval_steps_per_second": 0.383, |
|
"step": 2682 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"grad_norm": 3.1174557209014893, |
|
"learning_rate": 0.0002, |
|
"loss": 1.0371, |
|
"step": 3576 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_gen_len": 1.0, |
|
"eval_loss": 0.7169661521911621, |
|
"eval_rouge1": 0.2501, |
|
"eval_rouge2": 0.0, |
|
"eval_rougeL": 0.2524, |
|
"eval_rougeLsum": 0.2507, |
|
"eval_runtime": 61.1078, |
|
"eval_samples_per_second": 12.224, |
|
"eval_steps_per_second": 0.393, |
|
"step": 3576 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"grad_norm": 2.035046100616455, |
|
"learning_rate": 0.0, |
|
"loss": 0.9294, |
|
"step": 4470 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_gen_len": 1.0, |
|
"eval_loss": 0.6790085434913635, |
|
"eval_rouge1": 0.304, |
|
"eval_rouge2": 0.0, |
|
"eval_rougeL": 0.3076, |
|
"eval_rougeLsum": 0.3081, |
|
"eval_runtime": 59.9431, |
|
"eval_samples_per_second": 12.462, |
|
"eval_steps_per_second": 0.4, |
|
"step": 4470 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"step": 4470, |
|
"total_flos": 5.60207031957504e+16, |
|
"train_loss": 1.4239941215088436, |
|
"train_runtime": 6465.3919, |
|
"train_samples_per_second": 11.051, |
|
"train_steps_per_second": 0.691 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 4470, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 5, |
|
"save_steps": 500, |
|
"total_flos": 5.60207031957504e+16, |
|
"train_batch_size": 16, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|