|
{ |
|
"best_metric": 0.799412915851272, |
|
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-10/checkpoint-128", |
|
"epoch": 2.0, |
|
"eval_steps": 500, |
|
"global_step": 128, |
|
"is_hyper_param_search": true, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"grad_norm": 7.969868183135986, |
|
"learning_rate": 0.0006324213595544264, |
|
"loss": 0.5787, |
|
"step": 64 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.773972602739726, |
|
"eval_f1": 0.8070175438596492, |
|
"eval_loss": 0.48913490772247314, |
|
"eval_precision": 0.7040816326530612, |
|
"eval_recall": 0.9452054794520548, |
|
"eval_runtime": 27.7283, |
|
"eval_samples_per_second": 36.858, |
|
"eval_steps_per_second": 1.154, |
|
"step": 64 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"grad_norm": 2.9250471591949463, |
|
"learning_rate": 0.00047431601966581977, |
|
"loss": 0.46, |
|
"step": 128 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.799412915851272, |
|
"eval_f1": 0.8138056312443234, |
|
"eval_loss": 0.4400319457054138, |
|
"eval_precision": 0.7593220338983051, |
|
"eval_recall": 0.8767123287671232, |
|
"eval_runtime": 28.2626, |
|
"eval_samples_per_second": 36.161, |
|
"eval_steps_per_second": 1.132, |
|
"step": 128 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 320, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 5, |
|
"save_steps": 500, |
|
"total_flos": 471390394560.0, |
|
"train_batch_size": 48, |
|
"trial_name": null, |
|
"trial_params": { |
|
"alpha": 0.9990297556295253, |
|
"learning_rate": 0.000790526699443033, |
|
"num_train_epochs": 5, |
|
"per_device_train_batch_size": 48, |
|
"temperature": 30 |
|
} |
|
} |
|
|