|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 0.004700720777185835, |
|
"eval_steps": 5, |
|
"global_step": 30, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.00015669069257286117, |
|
"eval_loss": 2.4840877056121826, |
|
"eval_runtime": 451.2588, |
|
"eval_samples_per_second": 5.957, |
|
"eval_steps_per_second": 2.978, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.0004700720777185835, |
|
"grad_norm": 0.35675525665283203, |
|
"learning_rate": 6e-05, |
|
"loss": 2.5651, |
|
"step": 3 |
|
}, |
|
{ |
|
"epoch": 0.0007834534628643058, |
|
"eval_loss": 2.4730889797210693, |
|
"eval_runtime": 452.5563, |
|
"eval_samples_per_second": 5.94, |
|
"eval_steps_per_second": 2.97, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 0.000940144155437167, |
|
"grad_norm": 0.4222663938999176, |
|
"learning_rate": 0.00012, |
|
"loss": 2.2939, |
|
"step": 6 |
|
}, |
|
{ |
|
"epoch": 0.0014102162331557505, |
|
"grad_norm": 0.3590506315231323, |
|
"learning_rate": 0.00018, |
|
"loss": 2.3442, |
|
"step": 9 |
|
}, |
|
{ |
|
"epoch": 0.0015669069257286117, |
|
"eval_loss": 2.3731884956359863, |
|
"eval_runtime": 452.2685, |
|
"eval_samples_per_second": 5.943, |
|
"eval_steps_per_second": 2.972, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.001880288310874334, |
|
"grad_norm": 0.46846267580986023, |
|
"learning_rate": 0.00019510565162951537, |
|
"loss": 2.488, |
|
"step": 12 |
|
}, |
|
{ |
|
"epoch": 0.0023503603885929175, |
|
"grad_norm": 0.6831684112548828, |
|
"learning_rate": 0.00017071067811865476, |
|
"loss": 2.3226, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 0.0023503603885929175, |
|
"eval_loss": 2.313871383666992, |
|
"eval_runtime": 454.0482, |
|
"eval_samples_per_second": 5.92, |
|
"eval_steps_per_second": 2.96, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 0.002820432466311501, |
|
"grad_norm": 0.4186990261077881, |
|
"learning_rate": 0.00013090169943749476, |
|
"loss": 2.4933, |
|
"step": 18 |
|
}, |
|
{ |
|
"epoch": 0.0031338138514572234, |
|
"eval_loss": 2.2869107723236084, |
|
"eval_runtime": 452.7221, |
|
"eval_samples_per_second": 5.937, |
|
"eval_steps_per_second": 2.969, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.0032905045440300845, |
|
"grad_norm": 0.4401818513870239, |
|
"learning_rate": 8.435655349597689e-05, |
|
"loss": 2.2597, |
|
"step": 21 |
|
}, |
|
{ |
|
"epoch": 0.003760576621748668, |
|
"grad_norm": 0.4133366644382477, |
|
"learning_rate": 4.12214747707527e-05, |
|
"loss": 2.2031, |
|
"step": 24 |
|
}, |
|
{ |
|
"epoch": 0.003917267314321529, |
|
"eval_loss": 2.2778823375701904, |
|
"eval_runtime": 452.7385, |
|
"eval_samples_per_second": 5.937, |
|
"eval_steps_per_second": 2.969, |
|
"step": 25 |
|
}, |
|
{ |
|
"epoch": 0.0042306486994672515, |
|
"grad_norm": 0.4584410488605499, |
|
"learning_rate": 1.0899347581163221e-05, |
|
"loss": 2.2624, |
|
"step": 27 |
|
}, |
|
{ |
|
"epoch": 0.004700720777185835, |
|
"grad_norm": 0.43087276816368103, |
|
"learning_rate": 0.0, |
|
"loss": 2.3631, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 0.004700720777185835, |
|
"eval_loss": 2.2758781909942627, |
|
"eval_runtime": 452.376, |
|
"eval_samples_per_second": 5.942, |
|
"eval_steps_per_second": 2.971, |
|
"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": 1.0572960236568576e+16, |
|
"train_batch_size": 2, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|