--- license: cc-by-4.0 base_model: deepset/roberta-base-squad2 tags: - generated_from_trainer model-index: - name: QA_SYNTH_DATA_WITH_UNANSWERABLE_23_AUG_roberta-base_squad2 results: [] --- # QA_SYNTH_DATA_WITH_UNANSWERABLE_23_AUG_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: 0.0555 ## 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: 2 - eval_batch_size: 2 - 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 | |:-------------:|:-----:|:-----:|:---------------:| | 0.0611 | 1.0 | 4874 | 0.0865 | | 0.0528 | 2.0 | 9748 | 0.0644 | | 0.0729 | 3.0 | 14622 | 0.0914 | | 0.0213 | 4.0 | 19496 | 0.0921 | | 0.037 | 5.0 | 24370 | 0.0560 | | 0.0186 | 6.0 | 29244 | 0.0506 | | 0.0165 | 7.0 | 34118 | 0.0562 | | 0.0069 | 8.0 | 38992 | 0.0454 | | 0.0003 | 9.0 | 43866 | 0.0522 | | 0.0 | 10.0 | 48740 | 0.0555 | ### Framework versions - Transformers 4.32.0.dev0 - Pytorch 2.0.1+cu117 - Datasets 2.13.1 - Tokenizers 0.13.3