|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 18.0, |
|
"eval_steps": 500, |
|
"global_step": 18, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"grad_norm": 2.9770612716674805, |
|
"learning_rate": 2.5e-05, |
|
"loss": 0.3829, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_Macro F1": 0.3333333333333333, |
|
"eval_Macro Precision": 0.25, |
|
"eval_Macro Recall": 0.5, |
|
"eval_Micro F1": 0.5, |
|
"eval_Micro Precision": 0.5, |
|
"eval_Micro Recall": 0.5, |
|
"eval_Weighted F1": 0.3333333333333333, |
|
"eval_Weighted Precision": 0.25, |
|
"eval_Weighted Recall": 0.5, |
|
"eval_accuracy": 0.5, |
|
"eval_loss": 1.0583593845367432, |
|
"eval_runtime": 3.3884, |
|
"eval_samples_per_second": 1.181, |
|
"eval_steps_per_second": 0.295, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_Macro F1": 0.2, |
|
"eval_Macro Precision": 0.16666666666666666, |
|
"eval_Macro Recall": 0.25, |
|
"eval_Micro F1": 0.25, |
|
"eval_Micro Precision": 0.25, |
|
"eval_Micro Recall": 0.25, |
|
"eval_Weighted F1": 0.2, |
|
"eval_Weighted Precision": 0.16666666666666666, |
|
"eval_Weighted Recall": 0.25, |
|
"eval_accuracy": 0.25, |
|
"eval_loss": 1.287726879119873, |
|
"eval_runtime": 2.5164, |
|
"eval_samples_per_second": 1.59, |
|
"eval_steps_per_second": 0.397, |
|
"step": 2 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_Macro F1": 0.0, |
|
"eval_Macro Precision": 0.0, |
|
"eval_Macro Recall": 0.0, |
|
"eval_Micro F1": 0.0, |
|
"eval_Micro Precision": 0.0, |
|
"eval_Micro Recall": 0.0, |
|
"eval_Weighted F1": 0.0, |
|
"eval_Weighted Precision": 0.0, |
|
"eval_Weighted Recall": 0.0, |
|
"eval_accuracy": 0.0, |
|
"eval_loss": 2.298452138900757, |
|
"eval_runtime": 2.4805, |
|
"eval_samples_per_second": 1.613, |
|
"eval_steps_per_second": 0.403, |
|
"step": 3 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_Macro F1": 0.0, |
|
"eval_Macro Precision": 0.0, |
|
"eval_Macro Recall": 0.0, |
|
"eval_Micro F1": 0.0, |
|
"eval_Micro Precision": 0.0, |
|
"eval_Micro Recall": 0.0, |
|
"eval_Weighted F1": 0.0, |
|
"eval_Weighted Precision": 0.0, |
|
"eval_Weighted Recall": 0.0, |
|
"eval_accuracy": 0.0, |
|
"eval_loss": 2.4997897148132324, |
|
"eval_runtime": 2.3835, |
|
"eval_samples_per_second": 1.678, |
|
"eval_steps_per_second": 0.42, |
|
"step": 4 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_Macro F1": 0.0, |
|
"eval_Macro Precision": 0.0, |
|
"eval_Macro Recall": 0.0, |
|
"eval_Micro F1": 0.0, |
|
"eval_Micro Precision": 0.0, |
|
"eval_Micro Recall": 0.0, |
|
"eval_Weighted F1": 0.0, |
|
"eval_Weighted Precision": 0.0, |
|
"eval_Weighted Recall": 0.0, |
|
"eval_accuracy": 0.0, |
|
"eval_loss": 2.2229647636413574, |
|
"eval_runtime": 2.4413, |
|
"eval_samples_per_second": 1.638, |
|
"eval_steps_per_second": 0.41, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_Macro F1": 0.0, |
|
"eval_Macro Precision": 0.0, |
|
"eval_Macro Recall": 0.0, |
|
"eval_Micro F1": 0.0, |
|
"eval_Micro Precision": 0.0, |
|
"eval_Micro Recall": 0.0, |
|
"eval_Weighted F1": 0.0, |
|
"eval_Weighted Precision": 0.0, |
|
"eval_Weighted Recall": 0.0, |
|
"eval_accuracy": 0.0, |
|
"eval_loss": 1.9467241764068604, |
|
"eval_runtime": 2.3621, |
|
"eval_samples_per_second": 1.693, |
|
"eval_steps_per_second": 0.423, |
|
"step": 6 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"eval_Macro F1": 0.0, |
|
"eval_Macro Precision": 0.0, |
|
"eval_Macro Recall": 0.0, |
|
"eval_Micro F1": 0.0, |
|
"eval_Micro Precision": 0.0, |
|
"eval_Micro Recall": 0.0, |
|
"eval_Weighted F1": 0.0, |
|
"eval_Weighted Precision": 0.0, |
|
"eval_Weighted Recall": 0.0, |
|
"eval_accuracy": 0.0, |
|
"eval_loss": 1.7201157808303833, |
|
"eval_runtime": 2.4064, |
|
"eval_samples_per_second": 1.662, |
|
"eval_steps_per_second": 0.416, |
|
"step": 7 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"grad_norm": 1.3981068134307861, |
|
"learning_rate": 3.125e-05, |
|
"loss": 0.3628, |
|
"step": 8 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"eval_Macro F1": 0.0, |
|
"eval_Macro Precision": 0.0, |
|
"eval_Macro Recall": 0.0, |
|
"eval_Micro F1": 0.0, |
|
"eval_Micro Precision": 0.0, |
|
"eval_Micro Recall": 0.0, |
|
"eval_Weighted F1": 0.0, |
|
"eval_Weighted Precision": 0.0, |
|
"eval_Weighted Recall": 0.0, |
|
"eval_accuracy": 0.0, |
|
"eval_loss": 1.5736441612243652, |
|
"eval_runtime": 2.5118, |
|
"eval_samples_per_second": 1.592, |
|
"eval_steps_per_second": 0.398, |
|
"step": 8 |
|
}, |
|
{ |
|
"epoch": 9.0, |
|
"eval_Macro F1": 0.0, |
|
"eval_Macro Precision": 0.0, |
|
"eval_Macro Recall": 0.0, |
|
"eval_Micro F1": 0.0, |
|
"eval_Micro Precision": 0.0, |
|
"eval_Micro Recall": 0.0, |
|
"eval_Weighted F1": 0.0, |
|
"eval_Weighted Precision": 0.0, |
|
"eval_Weighted Recall": 0.0, |
|
"eval_accuracy": 0.0, |
|
"eval_loss": 1.541231393814087, |
|
"eval_runtime": 2.5506, |
|
"eval_samples_per_second": 1.568, |
|
"eval_steps_per_second": 0.392, |
|
"step": 9 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"eval_Macro F1": 0.0, |
|
"eval_Macro Precision": 0.0, |
|
"eval_Macro Recall": 0.0, |
|
"eval_Micro F1": 0.0, |
|
"eval_Micro Precision": 0.0, |
|
"eval_Micro Recall": 0.0, |
|
"eval_Weighted F1": 0.0, |
|
"eval_Weighted Precision": 0.0, |
|
"eval_Weighted Recall": 0.0, |
|
"eval_accuracy": 0.0, |
|
"eval_loss": 1.5483921766281128, |
|
"eval_runtime": 2.3993, |
|
"eval_samples_per_second": 1.667, |
|
"eval_steps_per_second": 0.417, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 11.0, |
|
"eval_Macro F1": 0.0, |
|
"eval_Macro Precision": 0.0, |
|
"eval_Macro Recall": 0.0, |
|
"eval_Micro F1": 0.0, |
|
"eval_Micro Precision": 0.0, |
|
"eval_Micro Recall": 0.0, |
|
"eval_Weighted F1": 0.0, |
|
"eval_Weighted Precision": 0.0, |
|
"eval_Weighted Recall": 0.0, |
|
"eval_accuracy": 0.0, |
|
"eval_loss": 1.5762369632720947, |
|
"eval_runtime": 2.3193, |
|
"eval_samples_per_second": 1.725, |
|
"eval_steps_per_second": 0.431, |
|
"step": 11 |
|
}, |
|
{ |
|
"epoch": 12.0, |
|
"eval_Macro F1": 0.0, |
|
"eval_Macro Precision": 0.0, |
|
"eval_Macro Recall": 0.0, |
|
"eval_Micro F1": 0.0, |
|
"eval_Micro Precision": 0.0, |
|
"eval_Micro Recall": 0.0, |
|
"eval_Weighted F1": 0.0, |
|
"eval_Weighted Precision": 0.0, |
|
"eval_Weighted Recall": 0.0, |
|
"eval_accuracy": 0.0, |
|
"eval_loss": 1.590673804283142, |
|
"eval_runtime": 2.4209, |
|
"eval_samples_per_second": 1.652, |
|
"eval_steps_per_second": 0.413, |
|
"step": 12 |
|
}, |
|
{ |
|
"epoch": 13.0, |
|
"eval_Macro F1": 0.0, |
|
"eval_Macro Precision": 0.0, |
|
"eval_Macro Recall": 0.0, |
|
"eval_Micro F1": 0.0, |
|
"eval_Micro Precision": 0.0, |
|
"eval_Micro Recall": 0.0, |
|
"eval_Weighted F1": 0.0, |
|
"eval_Weighted Precision": 0.0, |
|
"eval_Weighted Recall": 0.0, |
|
"eval_accuracy": 0.0, |
|
"eval_loss": 1.6231011152267456, |
|
"eval_runtime": 2.351, |
|
"eval_samples_per_second": 1.701, |
|
"eval_steps_per_second": 0.425, |
|
"step": 13 |
|
}, |
|
{ |
|
"epoch": 14.0, |
|
"eval_Macro F1": 0.0, |
|
"eval_Macro Precision": 0.0, |
|
"eval_Macro Recall": 0.0, |
|
"eval_Micro F1": 0.0, |
|
"eval_Micro Precision": 0.0, |
|
"eval_Micro Recall": 0.0, |
|
"eval_Weighted F1": 0.0, |
|
"eval_Weighted Precision": 0.0, |
|
"eval_Weighted Recall": 0.0, |
|
"eval_accuracy": 0.0, |
|
"eval_loss": 1.6461890935897827, |
|
"eval_runtime": 2.3174, |
|
"eval_samples_per_second": 1.726, |
|
"eval_steps_per_second": 0.432, |
|
"step": 14 |
|
}, |
|
{ |
|
"epoch": 15.0, |
|
"eval_Macro F1": 0.0, |
|
"eval_Macro Precision": 0.0, |
|
"eval_Macro Recall": 0.0, |
|
"eval_Micro F1": 0.0, |
|
"eval_Micro Precision": 0.0, |
|
"eval_Micro Recall": 0.0, |
|
"eval_Weighted F1": 0.0, |
|
"eval_Weighted Precision": 0.0, |
|
"eval_Weighted Recall": 0.0, |
|
"eval_accuracy": 0.0, |
|
"eval_loss": 1.6709625720977783, |
|
"eval_runtime": 2.6982, |
|
"eval_samples_per_second": 1.482, |
|
"eval_steps_per_second": 0.371, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 16.0, |
|
"grad_norm": 1.7213877439498901, |
|
"learning_rate": 6.25e-06, |
|
"loss": 0.3175, |
|
"step": 16 |
|
}, |
|
{ |
|
"epoch": 16.0, |
|
"eval_Macro F1": 0.0, |
|
"eval_Macro Precision": 0.0, |
|
"eval_Macro Recall": 0.0, |
|
"eval_Micro F1": 0.0, |
|
"eval_Micro Precision": 0.0, |
|
"eval_Micro Recall": 0.0, |
|
"eval_Weighted F1": 0.0, |
|
"eval_Weighted Precision": 0.0, |
|
"eval_Weighted Recall": 0.0, |
|
"eval_accuracy": 0.0, |
|
"eval_loss": 1.6882976293563843, |
|
"eval_runtime": 2.5084, |
|
"eval_samples_per_second": 1.595, |
|
"eval_steps_per_second": 0.399, |
|
"step": 16 |
|
}, |
|
{ |
|
"epoch": 17.0, |
|
"eval_Macro F1": 0.0, |
|
"eval_Macro Precision": 0.0, |
|
"eval_Macro Recall": 0.0, |
|
"eval_Micro F1": 0.0, |
|
"eval_Micro Precision": 0.0, |
|
"eval_Micro Recall": 0.0, |
|
"eval_Weighted F1": 0.0, |
|
"eval_Weighted Precision": 0.0, |
|
"eval_Weighted Recall": 0.0, |
|
"eval_accuracy": 0.0, |
|
"eval_loss": 1.6994037628173828, |
|
"eval_runtime": 2.6074, |
|
"eval_samples_per_second": 1.534, |
|
"eval_steps_per_second": 0.384, |
|
"step": 17 |
|
}, |
|
{ |
|
"epoch": 18.0, |
|
"eval_Macro F1": 0.0, |
|
"eval_Macro Precision": 0.0, |
|
"eval_Macro Recall": 0.0, |
|
"eval_Micro F1": 0.0, |
|
"eval_Micro Precision": 0.0, |
|
"eval_Micro Recall": 0.0, |
|
"eval_Weighted F1": 0.0, |
|
"eval_Weighted Precision": 0.0, |
|
"eval_Weighted Recall": 0.0, |
|
"eval_accuracy": 0.0, |
|
"eval_loss": 1.6985137462615967, |
|
"eval_runtime": 2.608, |
|
"eval_samples_per_second": 1.534, |
|
"eval_steps_per_second": 0.383, |
|
"step": 18 |
|
}, |
|
{ |
|
"epoch": 18.0, |
|
"step": 18, |
|
"total_flos": 1.6740517517918208e+16, |
|
"train_loss": 0.3359870778189765, |
|
"train_runtime": 282.6155, |
|
"train_samples_per_second": 0.764, |
|
"train_steps_per_second": 0.064 |
|
} |
|
], |
|
"logging_steps": 8, |
|
"max_steps": 18, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 18, |
|
"save_steps": 500, |
|
"stateful_callbacks": { |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": true |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 1.6740517517918208e+16, |
|
"train_batch_size": 32, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|