--- license: cc-by-4.0 tags: - generated_from_trainer model-index: - name: roberta-base-squad2 results: [] --- # roberta-base-squad2 This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on the None dataset. It achieves the following results on the evaluation set: - Loss: 3.3942 ## 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: 4 - eval_batch_size: 4 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 10 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 0.7072 | 1.0 | 501 | 3.2117 | | 0.4908 | 2.0 | 1002 | 3.2706 | | 0.4299 | 3.0 | 1503 | 2.9843 | | 0.3255 | 4.0 | 2004 | 2.5795 | | 0.2792 | 5.0 | 2505 | 2.9206 | | 0.2594 | 6.0 | 3006 | 3.2329 | | 0.2224 | 7.0 | 3507 | 2.9969 | | 0.1998 | 8.0 | 4008 | 3.5739 | | 0.1743 | 9.0 | 4509 | 3.4597 | | 0.1559 | 10.0 | 5010 | 3.3942 | ### Framework versions - Transformers 4.30.2 - Pytorch 2.0.1+cu117 - Datasets 2.13.1 - Tokenizers 0.13.3