{ | |
"data_path": "imdb", | |
"model_name": "bert-base-uncased", | |
"lr": 3e-05, | |
"epochs": 1, | |
"max_seq_length": 128, | |
"batch_size": 2, | |
"warmup_ratio": 0.1, | |
"gradient_accumulation": 1, | |
"optimizer": "adamw_torch", | |
"scheduler": "linear", | |
"weight_decay": 0.0, | |
"max_grad_norm": 1.0, | |
"seed": 42, | |
"train_split": "train", | |
"valid_split": null, | |
"text_column": "text", | |
"target_column": "label", | |
"logging_steps": -1, | |
"project_name": "output", | |
"auto_find_batch_size": false, | |
"fp16": true, | |
"save_total_limit": 1, | |
"save_strategy": "epoch", | |
"token": null, | |
"push_to_hub": true, | |
"repo_id": "abhishek/txtclfimdb2" | |
} |