--- library_name: transformers license: mit base_model: roberta-base tags: - generated_from_trainer model-index: - name: bcb_cost_roberta results: [] --- # bcb_cost_roberta This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset. ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 3e-05 - train_batch_size: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - num_epochs: 5 ### Training results ### Framework versions - Transformers 4.54.1 - Pytorch 2.7.0 - Datasets 4.0.0 - Tokenizers 0.21.4