| license: apache-2.0 | |
| base_model: bert-base-uncased | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - accuracy | |
| model-index: | |
| - name: results | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # results | |
| This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.3016 | |
| - Accuracy: 0.903 | |
| ## 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: 1 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| | |
| | 1.4263 | 0.16 | 100 | 1.1397 | 0.592 | | |
| | 0.9469 | 0.32 | 200 | 0.7879 | 0.746 | | |
| | 0.6107 | 0.48 | 300 | 0.4802 | 0.846 | | |
| | 0.4503 | 0.64 | 400 | 0.3855 | 0.874 | | |
| | 0.3673 | 0.8 | 500 | 0.3477 | 0.894 | | |
| | 0.3684 | 0.96 | 600 | 0.3263 | 0.89 | | |
| ### Framework versions | |
| - Transformers 4.41.2 | |
| - Pytorch 2.3.0+cu121 | |
| - Datasets 2.20.0 | |
| - Tokenizers 0.19.1 | |