|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 8.571428571428571, |
|
"eval_steps": 500, |
|
"global_step": 30, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.2857142857142857, |
|
"grad_norm": 187.0, |
|
"learning_rate": 6.666666666666667e-05, |
|
"loss": 49.7965, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.8571428571428571, |
|
"eval_loss": 15.486898422241211, |
|
"eval_runtime": 0.2527, |
|
"eval_samples_per_second": 39.572, |
|
"eval_steps_per_second": 3.957, |
|
"step": 3 |
|
}, |
|
{ |
|
"epoch": 1.4285714285714286, |
|
"grad_norm": 52.5, |
|
"learning_rate": 0.00019730448705798239, |
|
"loss": 39.0892, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_loss": 12.533833503723145, |
|
"eval_runtime": 0.2329, |
|
"eval_samples_per_second": 42.936, |
|
"eval_steps_per_second": 4.294, |
|
"step": 7 |
|
}, |
|
{ |
|
"epoch": 2.857142857142857, |
|
"grad_norm": 11.8125, |
|
"learning_rate": 0.0001686241637868734, |
|
"loss": 23.1465, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 2.857142857142857, |
|
"eval_loss": 10.118247985839844, |
|
"eval_runtime": 0.2382, |
|
"eval_samples_per_second": 41.973, |
|
"eval_steps_per_second": 4.197, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_loss": 8.45867919921875, |
|
"eval_runtime": 0.2351, |
|
"eval_samples_per_second": 42.528, |
|
"eval_steps_per_second": 4.253, |
|
"step": 14 |
|
}, |
|
{ |
|
"epoch": 4.285714285714286, |
|
"grad_norm": 4.21875, |
|
"learning_rate": 0.00011736481776669306, |
|
"loss": 19.7449, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 4.857142857142857, |
|
"eval_loss": 8.061217308044434, |
|
"eval_runtime": 0.2464, |
|
"eval_samples_per_second": 40.588, |
|
"eval_steps_per_second": 4.059, |
|
"step": 17 |
|
}, |
|
{ |
|
"epoch": 5.714285714285714, |
|
"grad_norm": 4.21875, |
|
"learning_rate": 6.039202339608432e-05, |
|
"loss": 18.8693, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_loss": 7.827044486999512, |
|
"eval_runtime": 0.2351, |
|
"eval_samples_per_second": 42.54, |
|
"eval_steps_per_second": 4.254, |
|
"step": 21 |
|
}, |
|
{ |
|
"epoch": 6.857142857142857, |
|
"eval_loss": 7.732919216156006, |
|
"eval_runtime": 0.245, |
|
"eval_samples_per_second": 40.809, |
|
"eval_steps_per_second": 4.081, |
|
"step": 24 |
|
}, |
|
{ |
|
"epoch": 7.142857142857143, |
|
"grad_norm": 4.65625, |
|
"learning_rate": 1.6451218858706374e-05, |
|
"loss": 18.4335, |
|
"step": 25 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"eval_loss": 7.698564052581787, |
|
"eval_runtime": 0.2338, |
|
"eval_samples_per_second": 42.772, |
|
"eval_steps_per_second": 4.277, |
|
"step": 28 |
|
}, |
|
{ |
|
"epoch": 8.571428571428571, |
|
"grad_norm": 4.6875, |
|
"learning_rate": 0.0, |
|
"loss": 18.2424, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 8.571428571428571, |
|
"eval_loss": 7.704453945159912, |
|
"eval_runtime": 0.2338, |
|
"eval_samples_per_second": 42.771, |
|
"eval_steps_per_second": 4.277, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 8.571428571428571, |
|
"step": 30, |
|
"total_flos": 9.147533553041408e+16, |
|
"train_loss": 23.27788518269857, |
|
"train_runtime": 75.0535, |
|
"train_samples_per_second": 29.046, |
|
"train_steps_per_second": 0.4 |
|
} |
|
], |
|
"logging_steps": 5, |
|
"max_steps": 30, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 10, |
|
"save_steps": 100, |
|
"total_flos": 9.147533553041408e+16, |
|
"train_batch_size": 4, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|