--- 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: 4.2379 ## 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 | 90 | 1.6912 | | 1.8817 | 2.0 | 180 | 1.7054 | | 1.3233 | 3.0 | 270 | 1.6376 | | 0.9894 | 4.0 | 360 | 2.1005 | | 0.7526 | 5.0 | 450 | 2.7104 | | 0.6553 | 6.0 | 540 | 2.2928 | | 0.5512 | 7.0 | 630 | 2.6380 | | 0.4148 | 8.0 | 720 | 2.8010 | | 0.2964 | 9.0 | 810 | 3.1167 | | 0.2538 | 10.0 | 900 | 3.5313 | | 0.2538 | 11.0 | 990 | 3.6620 | | 0.1918 | 12.0 | 1080 | 4.1138 | | 0.1363 | 13.0 | 1170 | 4.0901 | | 0.1606 | 14.0 | 1260 | 4.2286 | | 0.1162 | 15.0 | 1350 | 4.2379 | ### Framework versions - Transformers 4.25.1 - Pytorch 1.11.0+cu113 - Datasets 2.8.0 - Tokenizers 0.13.2