| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: bert-base-uncased |
| tags: |
| - generated_from_trainer |
| 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: 0.3095 |
| - Macro F1: 0.8317 |
| - Macro Precision: 0.8609 |
| - Macro Recall: 0.8061 |
| - Macro Support: None |
|
|
| ## 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: 64 |
| - eval_batch_size: 64 |
| - 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 |
| - lr_scheduler_warmup_steps: 500 |
| - num_epochs: 10 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Macro F1 | Macro Precision | Macro Recall | Macro Support | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------------:|:------------:|:-------------:| |
| | No log | 1.0 | 86 | 0.5550 | 0.1427 | 0.1109 | 0.2 | None | |
| | 0.6112 | 2.0 | 172 | 0.4244 | 0.5106 | 0.7966 | 0.4864 | None | |
| | 0.4482 | 3.0 | 258 | 0.3317 | 0.7370 | 0.7756 | 0.7129 | None | |
| | 0.3083 | 4.0 | 344 | 0.3029 | 0.7749 | 0.8252 | 0.7414 | None | |
| | 0.2015 | 5.0 | 430 | 0.2997 | 0.7893 | 0.8241 | 0.7742 | None | |
| | 0.1252 | 6.0 | 516 | 0.2980 | 0.8110 | 0.8430 | 0.7882 | None | |
| | 0.0736 | 7.0 | 602 | 0.3023 | 0.8148 | 0.8565 | 0.7811 | None | |
| | 0.0736 | 8.0 | 688 | 0.3091 | 0.8279 | 0.8448 | 0.8135 | None | |
| | 0.0384 | 9.0 | 774 | 0.3087 | 0.8313 | 0.8613 | 0.8062 | None | |
| | 0.0216 | 10.0 | 860 | 0.3095 | 0.8317 | 0.8609 | 0.8061 | None | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.57.1 |
| - Pytorch 2.8.0+cu126 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.1 |
|
|
