|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 0.06587615283267458, |
|
"eval_steps": 10, |
|
"global_step": 50, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.0013175230566534915, |
|
"eval_loss": 2.429551601409912, |
|
"eval_runtime": 34.1229, |
|
"eval_samples_per_second": 9.378, |
|
"eval_steps_per_second": 4.689, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.006587615283267457, |
|
"grad_norm": 1.0831778049468994, |
|
"learning_rate": 5e-05, |
|
"loss": 2.1113, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 0.013175230566534914, |
|
"grad_norm": 0.8124720454216003, |
|
"learning_rate": 0.0001, |
|
"loss": 1.9417, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.013175230566534914, |
|
"eval_loss": 1.9890544414520264, |
|
"eval_runtime": 34.7293, |
|
"eval_samples_per_second": 9.214, |
|
"eval_steps_per_second": 4.607, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.019762845849802372, |
|
"grad_norm": 0.7260387539863586, |
|
"learning_rate": 9.619397662556435e-05, |
|
"loss": 1.5863, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 0.026350461133069828, |
|
"grad_norm": 0.6288080811500549, |
|
"learning_rate": 8.535533905932738e-05, |
|
"loss": 1.4501, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.026350461133069828, |
|
"eval_loss": 1.3593571186065674, |
|
"eval_runtime": 34.6864, |
|
"eval_samples_per_second": 9.226, |
|
"eval_steps_per_second": 4.613, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.03293807641633729, |
|
"grad_norm": 0.6772316694259644, |
|
"learning_rate": 6.91341716182545e-05, |
|
"loss": 1.2137, |
|
"step": 25 |
|
}, |
|
{ |
|
"epoch": 0.039525691699604744, |
|
"grad_norm": 0.6072627902030945, |
|
"learning_rate": 5e-05, |
|
"loss": 1.1616, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 0.039525691699604744, |
|
"eval_loss": 1.1616449356079102, |
|
"eval_runtime": 34.7532, |
|
"eval_samples_per_second": 9.208, |
|
"eval_steps_per_second": 4.604, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 0.0461133069828722, |
|
"grad_norm": 0.6614992618560791, |
|
"learning_rate": 3.086582838174551e-05, |
|
"loss": 1.0897, |
|
"step": 35 |
|
}, |
|
{ |
|
"epoch": 0.052700922266139656, |
|
"grad_norm": 0.5868863463401794, |
|
"learning_rate": 1.4644660940672627e-05, |
|
"loss": 1.0003, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 0.052700922266139656, |
|
"eval_loss": 1.061147928237915, |
|
"eval_runtime": 34.8273, |
|
"eval_samples_per_second": 9.188, |
|
"eval_steps_per_second": 4.594, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 0.05928853754940711, |
|
"grad_norm": 0.5653367638587952, |
|
"learning_rate": 3.8060233744356633e-06, |
|
"loss": 1.0647, |
|
"step": 45 |
|
}, |
|
{ |
|
"epoch": 0.06587615283267458, |
|
"grad_norm": 0.5659787654876709, |
|
"learning_rate": 0.0, |
|
"loss": 1.1004, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 0.06587615283267458, |
|
"eval_loss": 1.0537097454071045, |
|
"eval_runtime": 34.7012, |
|
"eval_samples_per_second": 9.222, |
|
"eval_steps_per_second": 4.611, |
|
"step": 50 |
|
} |
|
], |
|
"logging_steps": 5, |
|
"max_steps": 50, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 1, |
|
"save_steps": 13, |
|
"stateful_callbacks": { |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": true |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 1.64316422602752e+16, |
|
"train_batch_size": 2, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|