--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: bert-base-uncased-sports results: [] --- # bert-base-uncased-sports This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset. It achieves the following results on the evaluation set: - Loss: 2.0064 ## 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: 8 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 3.0 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 2.4926 | 1.0 | 912 | 2.1186 | | 2.2168 | 2.0 | 1824 | 2.0392 | | 2.1327 | 3.0 | 2736 | 2.0081 | ### Framework versions - Transformers 4.16.2 - Pytorch 1.10.0 - Datasets 1.18.3 - Tokenizers 0.11.0