--- license: cc-by-4.0 tags: - generated_from_trainer model-index: - name: roberta-base-squad2-coffee20230108 results: [] --- # roberta-base-squad2-coffee20230108 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: 0.9218 ## 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: 5e-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 - lr_scheduler_warmup_steps: 500 - num_epochs: 15 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | No log | 1.0 | 3 | 1.2587 | | No log | 2.0 | 6 | 1.2307 | | No log | 3.0 | 9 | 1.1921 | | No log | 4.0 | 12 | 1.1438 | | No log | 5.0 | 15 | 1.1002 | | No log | 6.0 | 18 | 1.0606 | | No log | 7.0 | 21 | 1.0239 | | No log | 8.0 | 24 | 0.9841 | | No log | 9.0 | 27 | 0.9559 | | No log | 10.0 | 30 | 0.9304 | | No log | 11.0 | 33 | 0.9123 | | No log | 12.0 | 36 | 0.9023 | | No log | 13.0 | 39 | 0.9010 | | No log | 14.0 | 42 | 0.9052 | | No log | 15.0 | 45 | 0.9218 | ### Framework versions - Transformers 4.25.1 - Pytorch 1.11.0+cu113 - Datasets 2.8.0 - Tokenizers 0.13.2