|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 0.004276245456489203, |
|
"eval_steps": 5, |
|
"global_step": 30, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.00014254151521630675, |
|
"eval_loss": 2.955134868621826, |
|
"eval_runtime": 93.1906, |
|
"eval_samples_per_second": 31.698, |
|
"eval_steps_per_second": 15.849, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.00042762454564892024, |
|
"grad_norm": 7.354737281799316, |
|
"learning_rate": 6e-05, |
|
"loss": 12.2222, |
|
"step": 3 |
|
}, |
|
{ |
|
"epoch": 0.0007127075760815337, |
|
"eval_loss": 2.8305256366729736, |
|
"eval_runtime": 113.5607, |
|
"eval_samples_per_second": 26.013, |
|
"eval_steps_per_second": 13.006, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 0.0008552490912978405, |
|
"grad_norm": 9.722517013549805, |
|
"learning_rate": 0.00012, |
|
"loss": 11.2221, |
|
"step": 6 |
|
}, |
|
{ |
|
"epoch": 0.0012828736369467607, |
|
"grad_norm": 3.4644076824188232, |
|
"learning_rate": 0.00018, |
|
"loss": 9.67, |
|
"step": 9 |
|
}, |
|
{ |
|
"epoch": 0.0014254151521630675, |
|
"eval_loss": 2.532275676727295, |
|
"eval_runtime": 204.5424, |
|
"eval_samples_per_second": 14.442, |
|
"eval_steps_per_second": 7.221, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.001710498182595681, |
|
"grad_norm": 4.4212164878845215, |
|
"learning_rate": 0.00019510565162951537, |
|
"loss": 9.4872, |
|
"step": 12 |
|
}, |
|
{ |
|
"epoch": 0.0021381227282446015, |
|
"grad_norm": 5.554760932922363, |
|
"learning_rate": 0.00017071067811865476, |
|
"loss": 8.319, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 0.0021381227282446015, |
|
"eval_loss": 2.215949535369873, |
|
"eval_runtime": 205.1547, |
|
"eval_samples_per_second": 14.399, |
|
"eval_steps_per_second": 7.199, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 0.0025657472738935213, |
|
"grad_norm": 6.3015546798706055, |
|
"learning_rate": 0.00013090169943749476, |
|
"loss": 8.5909, |
|
"step": 18 |
|
}, |
|
{ |
|
"epoch": 0.002850830304326135, |
|
"eval_loss": 2.092536211013794, |
|
"eval_runtime": 204.734, |
|
"eval_samples_per_second": 14.428, |
|
"eval_steps_per_second": 7.214, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.0029933718195424416, |
|
"grad_norm": 3.86482572555542, |
|
"learning_rate": 8.435655349597689e-05, |
|
"loss": 8.2771, |
|
"step": 21 |
|
}, |
|
{ |
|
"epoch": 0.003420996365191362, |
|
"grad_norm": 3.8096251487731934, |
|
"learning_rate": 4.12214747707527e-05, |
|
"loss": 8.6305, |
|
"step": 24 |
|
}, |
|
{ |
|
"epoch": 0.003563537880407669, |
|
"eval_loss": 2.031748056411743, |
|
"eval_runtime": 205.1472, |
|
"eval_samples_per_second": 14.399, |
|
"eval_steps_per_second": 7.2, |
|
"step": 25 |
|
}, |
|
{ |
|
"epoch": 0.003848620910840282, |
|
"grad_norm": 4.132391452789307, |
|
"learning_rate": 1.0899347581163221e-05, |
|
"loss": 7.9521, |
|
"step": 27 |
|
}, |
|
{ |
|
"epoch": 0.004276245456489203, |
|
"grad_norm": 3.2936885356903076, |
|
"learning_rate": 0.0, |
|
"loss": 8.5835, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 0.004276245456489203, |
|
"eval_loss": 2.0245609283447266, |
|
"eval_runtime": 203.5227, |
|
"eval_samples_per_second": 14.514, |
|
"eval_steps_per_second": 7.257, |
|
"step": 30 |
|
} |
|
], |
|
"logging_steps": 3, |
|
"max_steps": 30, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 1, |
|
"save_steps": 10, |
|
"stateful_callbacks": { |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": true |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 515730680315904.0, |
|
"train_batch_size": 2, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|