|
{ |
|
"best_metric": 0.6231209635734558, |
|
"best_model_checkpoint": "mobilebert_add_GLUE_Experiment_mrpc_128/checkpoint-203", |
|
"epoch": 12.0, |
|
"global_step": 348, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"learning_rate": 4.9e-05, |
|
"loss": 0.6471, |
|
"step": 29 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.6838235294117647, |
|
"eval_combined_score": 0.7480253018237863, |
|
"eval_f1": 0.8122270742358079, |
|
"eval_loss": 0.6238649487495422, |
|
"eval_runtime": 0.8931, |
|
"eval_samples_per_second": 456.836, |
|
"eval_steps_per_second": 4.479, |
|
"step": 29 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"learning_rate": 4.8e-05, |
|
"loss": 0.6304, |
|
"step": 58 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.6838235294117647, |
|
"eval_combined_score": 0.7480253018237863, |
|
"eval_f1": 0.8122270742358079, |
|
"eval_loss": 0.6241526007652283, |
|
"eval_runtime": 0.7361, |
|
"eval_samples_per_second": 554.307, |
|
"eval_steps_per_second": 5.434, |
|
"step": 58 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"learning_rate": 4.7e-05, |
|
"loss": 0.6314, |
|
"step": 87 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.6838235294117647, |
|
"eval_combined_score": 0.7480253018237863, |
|
"eval_f1": 0.8122270742358079, |
|
"eval_loss": 0.6248883008956909, |
|
"eval_runtime": 0.7328, |
|
"eval_samples_per_second": 556.792, |
|
"eval_steps_per_second": 5.459, |
|
"step": 87 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"learning_rate": 4.600000000000001e-05, |
|
"loss": 0.6307, |
|
"step": 116 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.6838235294117647, |
|
"eval_combined_score": 0.7480253018237863, |
|
"eval_f1": 0.8122270742358079, |
|
"eval_loss": 0.6250340342521667, |
|
"eval_runtime": 0.7264, |
|
"eval_samples_per_second": 561.693, |
|
"eval_steps_per_second": 5.507, |
|
"step": 116 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"learning_rate": 4.5e-05, |
|
"loss": 0.6298, |
|
"step": 145 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_accuracy": 0.6838235294117647, |
|
"eval_combined_score": 0.7480253018237863, |
|
"eval_f1": 0.8122270742358079, |
|
"eval_loss": 0.6232542395591736, |
|
"eval_runtime": 0.7106, |
|
"eval_samples_per_second": 574.171, |
|
"eval_steps_per_second": 5.629, |
|
"step": 145 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"learning_rate": 4.4000000000000006e-05, |
|
"loss": 0.6283, |
|
"step": 174 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_accuracy": 0.6838235294117647, |
|
"eval_combined_score": 0.7480253018237863, |
|
"eval_f1": 0.8122270742358079, |
|
"eval_loss": 0.6232870221138, |
|
"eval_runtime": 0.7277, |
|
"eval_samples_per_second": 560.678, |
|
"eval_steps_per_second": 5.497, |
|
"step": 174 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"learning_rate": 4.3e-05, |
|
"loss": 0.6283, |
|
"step": 203 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"eval_accuracy": 0.6838235294117647, |
|
"eval_combined_score": 0.7480253018237863, |
|
"eval_f1": 0.8122270742358079, |
|
"eval_loss": 0.6231209635734558, |
|
"eval_runtime": 0.734, |
|
"eval_samples_per_second": 555.856, |
|
"eval_steps_per_second": 5.45, |
|
"step": 203 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"learning_rate": 4.2e-05, |
|
"loss": 0.6224, |
|
"step": 232 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"eval_accuracy": 0.6838235294117647, |
|
"eval_combined_score": 0.7480253018237863, |
|
"eval_f1": 0.8122270742358079, |
|
"eval_loss": 0.6265362501144409, |
|
"eval_runtime": 0.7212, |
|
"eval_samples_per_second": 565.718, |
|
"eval_steps_per_second": 5.546, |
|
"step": 232 |
|
}, |
|
{ |
|
"epoch": 9.0, |
|
"learning_rate": 4.1e-05, |
|
"loss": 0.6042, |
|
"step": 261 |
|
}, |
|
{ |
|
"epoch": 9.0, |
|
"eval_accuracy": 0.6838235294117647, |
|
"eval_combined_score": 0.7480253018237863, |
|
"eval_f1": 0.8122270742358079, |
|
"eval_loss": 0.6355301141738892, |
|
"eval_runtime": 0.7284, |
|
"eval_samples_per_second": 560.148, |
|
"eval_steps_per_second": 5.492, |
|
"step": 261 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"learning_rate": 4e-05, |
|
"loss": 0.5862, |
|
"step": 290 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"eval_accuracy": 0.6838235294117647, |
|
"eval_combined_score": 0.7480253018237863, |
|
"eval_f1": 0.8122270742358079, |
|
"eval_loss": 0.6303420662879944, |
|
"eval_runtime": 0.7331, |
|
"eval_samples_per_second": 556.564, |
|
"eval_steps_per_second": 5.457, |
|
"step": 290 |
|
}, |
|
{ |
|
"epoch": 11.0, |
|
"learning_rate": 3.9000000000000006e-05, |
|
"loss": 0.5717, |
|
"step": 319 |
|
}, |
|
{ |
|
"epoch": 11.0, |
|
"eval_accuracy": 0.6323529411764706, |
|
"eval_combined_score": 0.6924140943506116, |
|
"eval_f1": 0.7524752475247526, |
|
"eval_loss": 0.6515097618103027, |
|
"eval_runtime": 0.7306, |
|
"eval_samples_per_second": 558.416, |
|
"eval_steps_per_second": 5.475, |
|
"step": 319 |
|
}, |
|
{ |
|
"epoch": 12.0, |
|
"learning_rate": 3.8e-05, |
|
"loss": 0.5641, |
|
"step": 348 |
|
}, |
|
{ |
|
"epoch": 12.0, |
|
"eval_accuracy": 0.6838235294117647, |
|
"eval_combined_score": 0.7480253018237863, |
|
"eval_f1": 0.8122270742358079, |
|
"eval_loss": 0.6412438750267029, |
|
"eval_runtime": 0.7454, |
|
"eval_samples_per_second": 547.372, |
|
"eval_steps_per_second": 5.366, |
|
"step": 348 |
|
}, |
|
{ |
|
"epoch": 12.0, |
|
"step": 348, |
|
"total_flos": 1050778043154432.0, |
|
"train_loss": 0.61455181275291, |
|
"train_runtime": 328.2232, |
|
"train_samples_per_second": 558.766, |
|
"train_steps_per_second": 4.418 |
|
} |
|
], |
|
"max_steps": 1450, |
|
"num_train_epochs": 50, |
|
"total_flos": 1050778043154432.0, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|