|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 3.0, |
|
"eval_steps": 500, |
|
"global_step": 69, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.3, |
|
"grad_norm": 0.621504545211792, |
|
"learning_rate": 3e-05, |
|
"loss": 2.5074, |
|
"step": 7 |
|
}, |
|
{ |
|
"epoch": 0.61, |
|
"grad_norm": 0.4357547461986542, |
|
"learning_rate": 2.6612903225806453e-05, |
|
"loss": 2.4362, |
|
"step": 14 |
|
}, |
|
{ |
|
"epoch": 0.91, |
|
"grad_norm": 0.5074889063835144, |
|
"learning_rate": 2.3225806451612902e-05, |
|
"loss": 2.5027, |
|
"step": 21 |
|
}, |
|
{ |
|
"epoch": 1.22, |
|
"grad_norm": 0.6310410499572754, |
|
"learning_rate": 1.9838709677419355e-05, |
|
"loss": 2.5137, |
|
"step": 28 |
|
}, |
|
{ |
|
"epoch": 1.52, |
|
"grad_norm": 0.5066408514976501, |
|
"learning_rate": 1.6451612903225807e-05, |
|
"loss": 2.5501, |
|
"step": 35 |
|
}, |
|
{ |
|
"epoch": 1.83, |
|
"grad_norm": 0.5650488138198853, |
|
"learning_rate": 1.3064516129032258e-05, |
|
"loss": 2.1844, |
|
"step": 42 |
|
}, |
|
{ |
|
"epoch": 2.13, |
|
"grad_norm": 0.44675177335739136, |
|
"learning_rate": 9.67741935483871e-06, |
|
"loss": 2.3875, |
|
"step": 49 |
|
}, |
|
{ |
|
"epoch": 2.43, |
|
"grad_norm": 0.44878822565078735, |
|
"learning_rate": 6.290322580645162e-06, |
|
"loss": 2.4376, |
|
"step": 56 |
|
}, |
|
{ |
|
"epoch": 2.74, |
|
"grad_norm": 0.3949732780456543, |
|
"learning_rate": 2.9032258064516128e-06, |
|
"loss": 2.3816, |
|
"step": 63 |
|
} |
|
], |
|
"logging_steps": 7, |
|
"max_steps": 69, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 3, |
|
"save_steps": 500, |
|
"total_flos": 148233963700224.0, |
|
"train_batch_size": 1, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|