|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 11.428571428571429, |
|
"eval_steps": 20, |
|
"global_step": 140, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.82, |
|
"grad_norm": 0.1748005896806717, |
|
"learning_rate": 2.1e-05, |
|
"loss": 4.8309, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 1.63, |
|
"grad_norm": 0.19310609996318817, |
|
"learning_rate": 3.2999999999999996e-05, |
|
"loss": 5.0159, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 1.63, |
|
"eval_loss": NaN, |
|
"eval_runtime": 53.474, |
|
"eval_samples_per_second": 7.237, |
|
"eval_steps_per_second": 0.916, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 2.45, |
|
"grad_norm": NaN, |
|
"learning_rate": 4.2e-05, |
|
"loss": 4.8025, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 3.27, |
|
"grad_norm": NaN, |
|
"learning_rate": 5.399999999999999e-05, |
|
"loss": 4.1014, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 3.27, |
|
"eval_loss": NaN, |
|
"eval_runtime": 53.4777, |
|
"eval_samples_per_second": 7.237, |
|
"eval_steps_per_second": 0.916, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 4.08, |
|
"grad_norm": 0.0, |
|
"learning_rate": 7.199999999999999e-05, |
|
"loss": 4.7645, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 4.9, |
|
"grad_norm": 0.0, |
|
"learning_rate": 9.3e-05, |
|
"loss": 4.3747, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 4.9, |
|
"eval_loss": NaN, |
|
"eval_runtime": 53.6778, |
|
"eval_samples_per_second": 7.21, |
|
"eval_steps_per_second": 0.913, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 5.71, |
|
"grad_norm": NaN, |
|
"learning_rate": 0.000102, |
|
"loss": 5.0924, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 6.53, |
|
"grad_norm": NaN, |
|
"learning_rate": 0.00011099999999999999, |
|
"loss": 4.3234, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 6.53, |
|
"eval_loss": NaN, |
|
"eval_runtime": 53.7614, |
|
"eval_samples_per_second": 7.198, |
|
"eval_steps_per_second": 0.911, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 7.35, |
|
"grad_norm": 0.0, |
|
"learning_rate": 0.00012599999999999997, |
|
"loss": 4.1684, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 8.16, |
|
"grad_norm": 0.0, |
|
"learning_rate": 0.00014399999999999998, |
|
"loss": 4.3018, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 8.16, |
|
"eval_loss": NaN, |
|
"eval_runtime": 53.6674, |
|
"eval_samples_per_second": 7.211, |
|
"eval_steps_per_second": 0.913, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 8.98, |
|
"grad_norm": NaN, |
|
"learning_rate": 0.000162, |
|
"loss": 4.8328, |
|
"step": 110 |
|
}, |
|
{ |
|
"epoch": 9.8, |
|
"grad_norm": NaN, |
|
"learning_rate": 0.00017099999999999998, |
|
"loss": 3.8634, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 9.8, |
|
"eval_loss": NaN, |
|
"eval_runtime": 53.8298, |
|
"eval_samples_per_second": 7.189, |
|
"eval_steps_per_second": 0.91, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 10.61, |
|
"grad_norm": 0.0, |
|
"learning_rate": 0.00018299999999999998, |
|
"loss": 4.8214, |
|
"step": 130 |
|
}, |
|
{ |
|
"epoch": 11.43, |
|
"grad_norm": 0.0, |
|
"learning_rate": 0.000195, |
|
"loss": 5.3188, |
|
"step": 140 |
|
}, |
|
{ |
|
"epoch": 11.43, |
|
"eval_loss": NaN, |
|
"eval_runtime": 53.6779, |
|
"eval_samples_per_second": 7.21, |
|
"eval_steps_per_second": 0.913, |
|
"step": 140 |
|
} |
|
], |
|
"logging_steps": 10, |
|
"max_steps": 400, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 34, |
|
"save_steps": 20, |
|
"total_flos": 3.5458651842871296e+17, |
|
"train_batch_size": 32, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|