{ | |
"best_metric": 0.3020408163265306, | |
"best_model_checkpoint": "rubert-tiny2-finetuned-classification\\run-0\\checkpoint-138", | |
"epoch": 1.0, | |
"eval_steps": 500, | |
"global_step": 138, | |
"is_hyper_param_search": true, | |
"is_local_process_zero": true, | |
"is_world_process_zero": true, | |
"log_history": [ | |
{ | |
"epoch": 1.0, | |
"eval_accuracy": 0.3020408163265306, | |
"eval_loss": 2.3561618328094482, | |
"eval_runtime": 1.19, | |
"eval_samples_per_second": 205.883, | |
"eval_steps_per_second": 13.445, | |
"step": 138 | |
} | |
], | |
"logging_steps": 500, | |
"max_steps": 276, | |
"num_input_tokens_seen": 0, | |
"num_train_epochs": 2, | |
"save_steps": 500, | |
"total_flos": 0, | |
"train_batch_size": 16, | |
"trial_name": null, | |
"trial_params": { | |
"learning_rate": 2.9293281802514436e-06, | |
"num_train_epochs": 2, | |
"per_device_train_batch_size": 16, | |
"seed": 33 | |
} | |
} | |