--- license: apache-2.0 tags: - generated_from_trainer datasets: - squad model-index: - name: distilroberta-base-finetuned-squad results: [] --- # distilroberta-base-finetuned-squad This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the squad dataset. It achieves the following results on the evaluation set: - Loss: 1.0021 - Exact Match: 81.33396404919584 - F1-score: 88.41135855065653 ## 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: 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: 3 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:-----:|:---------------:| | 1.0897 | 1.0 | 5536 | 1.0352 | | 0.8719 | 2.0 | 11072 | 0.9679 | | 0.7331 | 3.0 | 16608 | 1.0021 | ### Framework versions - Transformers 4.19.2 - Pytorch 1.11.0+cu113 - Datasets 2.2.2 - Tokenizers 0.12.1