--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: roberta-base-culinary results: [] --- # roberta-base-culinary This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset. It achieves the following results on the evaluation set: - Loss: 1.1108 ## 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: 2e-05 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 16 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:------:|:---------------:| | 1.5688 | 1.0 | 39865 | 1.4449 | | 1.4332 | 2.0 | 79730 | 1.3822 | | 1.277 | 3.0 | 119595 | 1.3387 | | 1.3483 | 4.0 | 159460 | 1.2833 | | 1.2675 | 5.0 | 199325 | nan | | 1.2381 | 6.0 | 239190 | 1.2546 | | 1.1841 | 7.0 | 279055 | 1.2204 | | 1.1608 | 8.0 | 318920 | 1.2095 | | 1.2045 | 9.0 | 358785 | 1.1817 | | 1.1401 | 10.0 | 398650 | 1.1810 | | 1.0748 | 11.0 | 438515 | 1.1499 | | 1.0857 | 12.0 | 478380 | 1.1345 | | 1.0561 | 13.0 | 518245 | 1.1332 | | 1.0431 | 14.0 | 558110 | 1.1127 | | 1.0273 | 15.0 | 597975 | 1.1091 | | 1.0275 | 16.0 | 637840 | 1.1108 | ### Framework versions - Transformers 4.22.1 - Pytorch 1.12.1+cu113 - Datasets 2.4.0 - Tokenizers 0.12.1