| | --- |
| | library_name: transformers |
| | license: apache-2.0 |
| | base_model: bert-base-uncased |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | - f1 |
| | 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: 0.5025 |
| | - Accuracy: 0.8652 |
| | - F1: 0.9030 |
| |
|
| | ## 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: 5e-05 |
| | - train_batch_size: 16 |
| | - eval_batch_size: 16 |
| | - seed: 42 |
| | - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| | - lr_scheduler_type: linear |
| | - num_epochs: 3 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
| | |:-------------:|:------:|:----:|:---------------:|:--------:|:------:| |
| | | 0.6475 | 0.2174 | 50 | 0.6013 | 0.6863 | 0.8134 | |
| | | 0.524 | 0.4348 | 100 | 0.5868 | 0.7108 | 0.8239 | |
| | | 0.5462 | 0.6522 | 150 | 0.5164 | 0.7647 | 0.8486 | |
| | | 0.5212 | 0.8696 | 200 | 0.4979 | 0.7868 | 0.8612 | |
| | | 0.3795 | 1.0870 | 250 | 0.4238 | 0.8113 | 0.8675 | |
| | | 0.3491 | 1.3043 | 300 | 0.4333 | 0.8137 | 0.8725 | |
| | | 0.3169 | 1.5217 | 350 | 0.3667 | 0.8284 | 0.8797 | |
| | | 0.2147 | 1.7391 | 400 | 0.3677 | 0.8603 | 0.9036 | |
| | | 0.2552 | 1.9565 | 450 | 0.3500 | 0.8529 | 0.8905 | |
| | | 0.1161 | 2.1739 | 500 | 0.4615 | 0.8652 | 0.9005 | |
| | | 0.1318 | 2.3913 | 550 | 0.5217 | 0.8603 | 0.9039 | |
| | | 0.0617 | 2.6087 | 600 | 0.4821 | 0.8676 | 0.9043 | |
| | | 0.0523 | 2.8261 | 650 | 0.5025 | 0.8652 | 0.9030 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.57.3 |
| | - Pytorch 2.9.0+cu126 |
| | - Datasets 4.0.0 |
| | - Tokenizers 0.22.1 |
| | |
