--- license: apache-2.0 tags: - generated_from_trainer base_model: bert-base-uncased model-index: - name: bert-base-uncased-finetuned-news-1963-1965 results: [] --- # bert-base-uncased-finetuned-news-1963-1965 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: 3.3980 ## 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 | |:-------------:|:-----:|:-----:|:---------------:| | 3.7075 | 1.0 | 6898 | 3.4725 | | 3.6043 | 2.0 | 13796 | 3.4067 | | 3.6435 | 3.0 | 20694 | 3.4139 | ### Framework versions - Transformers 4.41.2 - Pytorch 2.3.0+cu121 - Datasets 2.19.2 - Tokenizers 0.19.1