| | --- |
| | library_name: transformers |
| | license: apache-2.0 |
| | base_model: answerdotai/ModernBERT-base |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - financial_phrasebank |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: ModernFinBERT |
| | results: |
| | - task: |
| | name: Text Classification |
| | type: text-classification |
| | dataset: |
| | name: financial_phrasebank |
| | type: financial_phrasebank |
| | config: sentences_50agree |
| | split: train |
| | args: sentences_50agree |
| | metrics: |
| | - name: Accuracy |
| | type: accuracy |
| | value: 0.8670103092783505 |
| | --- |
| | |
| | <!-- 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. --> |
| |
|
| | # ModernFinBERT |
| |
|
| | This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the financial_phrasebank dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.6635 |
| | - Accuracy: 0.8670 |
| | |
| | ## 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: 8e-05 |
| | - train_batch_size: 32 |
| | - eval_batch_size: 32 |
| | - seed: 42 |
| | - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-06 and optimizer_args=No additional optimizer arguments |
| | - lr_scheduler_type: linear |
| | - num_epochs: 10 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | | 0.5348 | 1.0 | 122 | 0.4122 | 0.8278 | |
| | | 0.2684 | 2.0 | 244 | 0.3491 | 0.8546 | |
| | | 0.1303 | 3.0 | 366 | 0.4818 | 0.8536 | |
| | | 0.0569 | 4.0 | 488 | 0.6635 | 0.8670 | |
| | | 0.0298 | 5.0 | 610 | 0.7434 | 0.8629 | |
| | | 0.0166 | 6.0 | 732 | 0.7884 | 0.8660 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.48.1 |
| | - Pytorch 2.5.1+cu121 |
| | - Datasets 3.2.0 |
| | - Tokenizers 0.21.0 |
| | |
