--- license: cc-by-4.0 base_model: deepset/roberta-base-squad2 tags: - generated_from_trainer model-index: - name: testModel4 results: [] --- # testModel4 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: 0.1312 ## 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: 4.736874483017473e-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: 10 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 2.3168 | 1.0 | 541 | 0.2721 | | 0.0011 | 2.0 | 1082 | 0.1897 | | 0.0123 | 3.0 | 1623 | 0.1486 | | 0.0206 | 4.0 | 2164 | 0.1452 | | 0.0001 | 5.0 | 2705 | 0.1268 | | 0.0005 | 6.0 | 3246 | 0.1280 | | 0.0001 | 7.0 | 3787 | 0.1296 | | 1.3317 | 8.0 | 4328 | 0.1317 | | 0.0001 | 9.0 | 4869 | 0.1320 | | 0.0066 | 10.0 | 5410 | 0.1312 | ### Framework versions - Transformers 4.41.2 - Pytorch 2.5.1 - Datasets 2.19.1 - Tokenizers 0.19.1