|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 1.0, |
|
"eval_steps": 500, |
|
"global_step": 3919, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.13, |
|
"grad_norm": 1.9183778762817383, |
|
"learning_rate": 3.188775510204082e-05, |
|
"loss": 2.8223, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.26, |
|
"grad_norm": 2.046781539916992, |
|
"learning_rate": 4.655502392344498e-05, |
|
"loss": 1.5043, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.38, |
|
"grad_norm": 1.9903734922409058, |
|
"learning_rate": 3.8580542264752795e-05, |
|
"loss": 1.4817, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 0.51, |
|
"grad_norm": 1.7653305530548096, |
|
"learning_rate": 3.060606060606061e-05, |
|
"loss": 1.4671, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 0.64, |
|
"grad_norm": 1.9060845375061035, |
|
"learning_rate": 2.2631578947368423e-05, |
|
"loss": 1.4637, |
|
"step": 2500 |
|
}, |
|
{ |
|
"epoch": 0.77, |
|
"grad_norm": 1.784713625907898, |
|
"learning_rate": 1.4657097288676236e-05, |
|
"loss": 1.4588, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 0.89, |
|
"grad_norm": 1.737605094909668, |
|
"learning_rate": 6.6826156299840516e-06, |
|
"loss": 1.4615, |
|
"step": 3500 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"step": 3919, |
|
"total_flos": 102290970089472.0, |
|
"train_loss": 1.643041113804542, |
|
"train_runtime": 148.4875, |
|
"train_samples_per_second": 211.122, |
|
"train_steps_per_second": 26.393 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 3919, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 1, |
|
"save_steps": 500, |
|
"total_flos": 102290970089472.0, |
|
"train_batch_size": 8, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|