Update model_args.json

model_args.json

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+{"sliding_window": false, "tie_value": 1, "stride": 0.8, "regression": false, "adam_epsilon": 1e-08, "best_model_dir": "outputs/best_model", "cache_dir": "cache_dir/", "config": {}, "do_lower_case": false, "early_stopping_consider_epochs": false, "early_stopping_delta": 0, "early_stopping_metric": "eval_loss", "early_stopping_metric_minimize": true, "early_stopping_patience": 3, "encoding": null, "eval_batch_size": 8, "evaluate_during_training": false, "evaluate_during_training_steps": 2000, "evaluate_during_training_verbose": false, "fp16": false, "fp16_opt_level": "O1", "gradient_accumulation_steps": 1, "learning_rate": 4e-05, "logging_steps": 50, "manual_seed": null, "max_grad_norm": 1.0, "max_seq_length": 128, "multiprocessing_chunksize": 500, "n_gpu": 1, "no_cache": true, "no_save": false, "num_train_epochs": 1, "output_dir": "outputs/", "overwrite_output_dir": true, "process_count": 14, "reprocess_input_data": true, "save_best_model": true, "save_eval_checkpoints": false, "save_model_every_epoch": true, "save_steps": 2000, "save_optimizer_and_scheduler": true, "silent": false, "tensorboard_dir": null, "train_batch_size": 8, "use_cached_eval_features": false, "use_early_stopping": false, "use_multiprocessing": true, "wandb_kwargs": {}, "wandb_project": null, "warmup_ratio": 0.06, "warmup_steps": 47, "weight_decay": 0, "model_name": "roberta-base", "model_type": "roberta"}