|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 0.1301518438177874, |
|
"eval_steps": 5, |
|
"global_step": 30, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.004338394793926247, |
|
"eval_loss": 4.0736517906188965, |
|
"eval_runtime": 11.3009, |
|
"eval_samples_per_second": 8.672, |
|
"eval_steps_per_second": 4.336, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.013015184381778741, |
|
"grad_norm": 5.656111717224121, |
|
"learning_rate": 6e-05, |
|
"loss": 3.6883, |
|
"step": 3 |
|
}, |
|
{ |
|
"epoch": 0.021691973969631236, |
|
"eval_loss": 3.306220293045044, |
|
"eval_runtime": 11.3027, |
|
"eval_samples_per_second": 8.671, |
|
"eval_steps_per_second": 4.335, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 0.026030368763557483, |
|
"grad_norm": 2.3464417457580566, |
|
"learning_rate": 0.00012, |
|
"loss": 3.1322, |
|
"step": 6 |
|
}, |
|
{ |
|
"epoch": 0.039045553145336226, |
|
"grad_norm": 2.036963701248169, |
|
"learning_rate": 0.00018, |
|
"loss": 2.6114, |
|
"step": 9 |
|
}, |
|
{ |
|
"epoch": 0.04338394793926247, |
|
"eval_loss": 2.7751786708831787, |
|
"eval_runtime": 11.3023, |
|
"eval_samples_per_second": 8.671, |
|
"eval_steps_per_second": 4.335, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.052060737527114966, |
|
"grad_norm": 2.3901684284210205, |
|
"learning_rate": 0.00019510565162951537, |
|
"loss": 2.6058, |
|
"step": 12 |
|
}, |
|
{ |
|
"epoch": 0.0650759219088937, |
|
"grad_norm": 2.0866892337799072, |
|
"learning_rate": 0.00017071067811865476, |
|
"loss": 2.1733, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 0.0650759219088937, |
|
"eval_loss": 2.4747469425201416, |
|
"eval_runtime": 11.2685, |
|
"eval_samples_per_second": 8.697, |
|
"eval_steps_per_second": 4.348, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 0.07809110629067245, |
|
"grad_norm": 1.4665969610214233, |
|
"learning_rate": 0.00013090169943749476, |
|
"loss": 2.1652, |
|
"step": 18 |
|
}, |
|
{ |
|
"epoch": 0.08676789587852494, |
|
"eval_loss": 2.3516483306884766, |
|
"eval_runtime": 11.2826, |
|
"eval_samples_per_second": 8.686, |
|
"eval_steps_per_second": 4.343, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.0911062906724512, |
|
"grad_norm": 1.8569259643554688, |
|
"learning_rate": 8.435655349597689e-05, |
|
"loss": 2.2347, |
|
"step": 21 |
|
}, |
|
{ |
|
"epoch": 0.10412147505422993, |
|
"grad_norm": 1.678497552871704, |
|
"learning_rate": 4.12214747707527e-05, |
|
"loss": 2.3166, |
|
"step": 24 |
|
}, |
|
{ |
|
"epoch": 0.10845986984815618, |
|
"eval_loss": 2.2885868549346924, |
|
"eval_runtime": 11.2778, |
|
"eval_samples_per_second": 8.69, |
|
"eval_steps_per_second": 4.345, |
|
"step": 25 |
|
}, |
|
{ |
|
"epoch": 0.11713665943600868, |
|
"grad_norm": 2.1016781330108643, |
|
"learning_rate": 1.0899347581163221e-05, |
|
"loss": 2.0839, |
|
"step": 27 |
|
}, |
|
{ |
|
"epoch": 0.1301518438177874, |
|
"grad_norm": 2.2135860919952393, |
|
"learning_rate": 0.0, |
|
"loss": 2.411, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 0.1301518438177874, |
|
"eval_loss": 2.2758893966674805, |
|
"eval_runtime": 11.2913, |
|
"eval_samples_per_second": 8.679, |
|
"eval_steps_per_second": 4.34, |
|
"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": 3015894871572480.0, |
|
"train_batch_size": 2, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|