|
{ |
|
"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": 0.8142107129096985, |
|
"learning_rate": 0.0008, |
|
"loss": 3.3525, |
|
"step": 892 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_gen_len": 1.0, |
|
"eval_loss": 2.4645345211029053, |
|
"eval_rouge1": 0.6739, |
|
"eval_rouge2": 0.0, |
|
"eval_rougeL": 0.6721, |
|
"eval_rougeLsum": 0.6722, |
|
"eval_runtime": 52.0826, |
|
"eval_samples_per_second": 14.343, |
|
"eval_steps_per_second": 0.461, |
|
"step": 892 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"grad_norm": 0.7527865767478943, |
|
"learning_rate": 0.0006, |
|
"loss": 2.9432, |
|
"step": 1784 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_gen_len": 1.0, |
|
"eval_loss": 2.228515625, |
|
"eval_rouge1": 0.6712, |
|
"eval_rouge2": 0.0, |
|
"eval_rougeL": 0.6719, |
|
"eval_rougeLsum": 0.672, |
|
"eval_runtime": 54.6492, |
|
"eval_samples_per_second": 13.669, |
|
"eval_steps_per_second": 0.439, |
|
"step": 1784 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"grad_norm": 0.7620196342468262, |
|
"learning_rate": 0.0004, |
|
"loss": 2.7301, |
|
"step": 2676 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_gen_len": 1.0, |
|
"eval_loss": 2.000340223312378, |
|
"eval_rouge1": 0.6833, |
|
"eval_rouge2": 0.0, |
|
"eval_rougeL": 0.6773, |
|
"eval_rougeLsum": 0.6791, |
|
"eval_runtime": 49.9831, |
|
"eval_samples_per_second": 14.945, |
|
"eval_steps_per_second": 0.48, |
|
"step": 2676 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"grad_norm": 0.8655580878257751, |
|
"learning_rate": 0.0002, |
|
"loss": 2.5599, |
|
"step": 3568 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_gen_len": 1.0, |
|
"eval_loss": 1.8546103239059448, |
|
"eval_rouge1": 0.7278, |
|
"eval_rouge2": 0.0, |
|
"eval_rougeL": 0.7227, |
|
"eval_rougeLsum": 0.7246, |
|
"eval_runtime": 50.7437, |
|
"eval_samples_per_second": 14.721, |
|
"eval_steps_per_second": 0.473, |
|
"step": 3568 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"grad_norm": 0.7443877458572388, |
|
"learning_rate": 0.0, |
|
"loss": 2.422, |
|
"step": 4460 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_gen_len": 1.0, |
|
"eval_loss": 1.7829684019088745, |
|
"eval_rouge1": 0.6862, |
|
"eval_rouge2": 0.0, |
|
"eval_rougeL": 0.6838, |
|
"eval_rougeLsum": 0.6843, |
|
"eval_runtime": 52.337, |
|
"eval_samples_per_second": 14.273, |
|
"eval_steps_per_second": 0.459, |
|
"step": 4460 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"step": 4460, |
|
"total_flos": 5.531847691862016e+16, |
|
"train_loss": 2.801529929669983, |
|
"train_runtime": 5646.3824, |
|
"train_samples_per_second": 12.633, |
|
"train_steps_per_second": 0.79 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 4460, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 5, |
|
"save_steps": 500, |
|
"total_flos": 5.531847691862016e+16, |
|
"train_batch_size": 16, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|