--- 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: 1.1032 ## 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 | |:-------------:|:-----:|:------:|:---------------:| | 1.5135 | 1.0 | 39823 | 1.4635 | | 1.454 | 2.0 | 79646 | 1.3753 | | 1.3924 | 3.0 | 119469 | 1.3375 | | 1.3379 | 4.0 | 159292 | 1.2886 | | 1.2969 | 5.0 | 199115 | 1.2595 | | 1.2495 | 6.0 | 238938 | nan | | 1.1768 | 7.0 | 278761 | 1.2283 | | 1.1687 | 8.0 | 318584 | 1.2109 | | 1.2148 | 9.0 | 358407 | 1.1671 | | 1.133 | 10.0 | 398230 | 1.1721 | | 1.0882 | 11.0 | 438053 | 1.1624 | | 1.0749 | 12.0 | 477876 | 1.1321 | | 1.092 | 13.0 | 517699 | nan | | 1.0594 | 14.0 | 557522 | 1.1186 | | 1.0292 | 15.0 | 597345 | 1.1074 | | 0.9973 | 16.0 | 637168 | 1.1032 | ### Framework versions - Transformers 4.22.1 - Pytorch 1.12.1+cu113 - Datasets 2.4.0 - Tokenizers 0.12.1