--- license: cc-by-4.0 base_model: deepset/roberta-base-squad2 tags: - generated_from_trainer model-index: - name: RobertaLr4e-6Wd0.03 results: [] --- # RobertaLr4e-6Wd0.03 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: 0.5173 ## 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: 4e-06 - train_batch_size: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 12 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 1.4961 | 1.0 | 72 | 1.0920 | | 1.0065 | 2.0 | 144 | 0.7849 | | 0.6863 | 3.0 | 216 | 0.7007 | | 0.911 | 4.0 | 288 | 0.5794 | | 0.3684 | 5.0 | 360 | 0.5731 | | 0.0694 | 6.0 | 432 | 0.5524 | | 0.2925 | 7.0 | 504 | 0.5576 | | 0.578 | 8.0 | 576 | 0.5542 | | 0.0254 | 9.0 | 648 | 0.5094 | | 0.3163 | 10.0 | 720 | 0.5124 | | 0.0452 | 11.0 | 792 | 0.5200 | | 0.1349 | 12.0 | 864 | 0.5173 | ### Framework versions - Transformers 4.41.2 - Pytorch 2.4.0 - Datasets 2.20.0 - Tokenizers 0.19.1