--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: bert-base-cased-PubmedQAmodel results: [] --- # bert-base-cased-PubmedQAmodel This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 3.1602 ## 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: 8 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | No log | 1.0 | 21 | 3.3780 | | No log | 2.0 | 42 | 3.2694 | | No log | 3.0 | 63 | 3.1892 | | No log | 4.0 | 84 | 3.1536 | | No log | 5.0 | 105 | 3.1454 | | No log | 6.0 | 126 | 3.1754 | | No log | 7.0 | 147 | 3.1372 | | No log | 8.0 | 168 | 3.1602 | ### Framework versions - Transformers 4.28.1 - Pytorch 2.0.0+cu118 - Datasets 2.11.0 - Tokenizers 0.13.3