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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: answerdotai/ModernBERT-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: ModernBERT-base-ft-financial-news-sentiment-analysis-2 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# ModernBERT-base-ft-financial-news-sentiment-analysis-2 |
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This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1293 |
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- F1 Score: 0.9765 |
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- Precision Score: 0.9765 |
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- Recall Score: 0.9765 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 8e-05 |
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- train_batch_size: 128 |
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- eval_batch_size: 128 |
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- seed: 42 |
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- optimizer: Use adamw_torch with betas=(0.9,0.98) and epsilon=1e-06 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 Score | Precision Score | Recall Score | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------------:|:------------:| |
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| 0.6927 | 1.0 | 16 | 0.3884 | 0.8449 | 0.8816 | 0.8265 | |
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| 0.2203 | 2.0 | 32 | 0.2017 | 0.9556 | 0.9558 | 0.9559 | |
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| 0.0847 | 3.0 | 48 | 0.1663 | 0.9472 | 0.9507 | 0.9471 | |
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| 0.0273 | 4.0 | 64 | 0.1765 | 0.9705 | 0.9710 | 0.9706 | |
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| 0.0198 | 5.0 | 80 | 0.1980 | 0.9646 | 0.9653 | 0.9647 | |
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| 0.0141 | 6.0 | 96 | 0.1396 | 0.9795 | 0.9797 | 0.9794 | |
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| 0.0087 | 7.0 | 112 | 0.1204 | 0.9674 | 0.9677 | 0.9676 | |
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| 0.0013 | 8.0 | 128 | 0.1285 | 0.9705 | 0.9704 | 0.9706 | |
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| 0.0002 | 9.0 | 144 | 0.1274 | 0.9765 | 0.9765 | 0.9765 | |
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| 0.0002 | 10.0 | 160 | 0.1293 | 0.9765 | 0.9765 | 0.9765 | |
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### Framework versions |
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- Transformers 4.48.0.dev0 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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