|
{ |
|
"best_metric": 0.388401061296463, |
|
"best_model_checkpoint": "mobilebert_sa_GLUE_Experiment_logit_kd_pretrain_rte/checkpoint-60", |
|
"epoch": 8.0, |
|
"global_step": 160, |
|
"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": 0.4107, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.5126353790613718, |
|
"eval_loss": 0.3951400816440582, |
|
"eval_runtime": 0.5432, |
|
"eval_samples_per_second": 509.897, |
|
"eval_steps_per_second": 5.522, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"learning_rate": 4.8e-05, |
|
"loss": 0.3757, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.4981949458483754, |
|
"eval_loss": 0.3914218842983246, |
|
"eval_runtime": 0.5449, |
|
"eval_samples_per_second": 508.396, |
|
"eval_steps_per_second": 5.506, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"learning_rate": 4.7e-05, |
|
"loss": 0.347, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.5451263537906137, |
|
"eval_loss": 0.388401061296463, |
|
"eval_runtime": 0.5432, |
|
"eval_samples_per_second": 509.919, |
|
"eval_steps_per_second": 5.523, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"learning_rate": 4.600000000000001e-05, |
|
"loss": 0.3072, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.5126353790613718, |
|
"eval_loss": 0.402240514755249, |
|
"eval_runtime": 0.5439, |
|
"eval_samples_per_second": 509.256, |
|
"eval_steps_per_second": 5.515, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"learning_rate": 4.5e-05, |
|
"loss": 0.2762, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_accuracy": 0.5270758122743683, |
|
"eval_loss": 0.41157519817352295, |
|
"eval_runtime": 0.542, |
|
"eval_samples_per_second": 511.088, |
|
"eval_steps_per_second": 5.535, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"learning_rate": 4.4000000000000006e-05, |
|
"loss": 0.2457, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_accuracy": 0.5270758122743683, |
|
"eval_loss": 0.40726301074028015, |
|
"eval_runtime": 0.5446, |
|
"eval_samples_per_second": 508.611, |
|
"eval_steps_per_second": 5.508, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"learning_rate": 4.3e-05, |
|
"loss": 0.2215, |
|
"step": 140 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"eval_accuracy": 0.5487364620938628, |
|
"eval_loss": 0.4115126132965088, |
|
"eval_runtime": 0.5433, |
|
"eval_samples_per_second": 509.804, |
|
"eval_steps_per_second": 5.521, |
|
"step": 140 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"learning_rate": 4.2e-05, |
|
"loss": 0.2059, |
|
"step": 160 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"eval_accuracy": 0.5342960288808665, |
|
"eval_loss": 0.4230565130710602, |
|
"eval_runtime": 0.5423, |
|
"eval_samples_per_second": 510.767, |
|
"eval_steps_per_second": 5.532, |
|
"step": 160 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"step": 160, |
|
"total_flos": 632613383438336.0, |
|
"train_loss": 0.29872527420520784, |
|
"train_runtime": 143.5614, |
|
"train_samples_per_second": 867.225, |
|
"train_steps_per_second": 6.966 |
|
} |
|
], |
|
"max_steps": 1000, |
|
"num_train_epochs": 50, |
|
"total_flos": 632613383438336.0, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|