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--- |
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license: cc-by-sa-4.0 |
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base_model: frisibeli/legal-bert-finetuned-1985 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: legal-bert-finetuned-1985-classifier |
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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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# legal-bert-finetuned-1985-classifier |
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This model is a fine-tuned version of [frisibeli/legal-bert-finetuned-1985](https://huggingface.co/frisibeli/legal-bert-finetuned-1985) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3472 |
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- F1 Score: 0.5128 |
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- F1 Combined: 0.604040404040404 |
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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: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.02 |
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- num_epochs: 7 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 Score | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.5817 | 0.99 | 82 | 0.5112 | 0.4419 | |
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| 0.4875 | 2.0 | 165 | 0.5126 | 0.4921 | |
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| 0.2992 | 2.99 | 247 | 0.6876 | 0.5171 | |
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| 0.1575 | 4.0 | 330 | 0.9381 | 0.5216 | |
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| 0.0727 | 4.99 | 412 | 1.1702 | 0.5308 | |
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| 0.0453 | 6.0 | 495 | 1.2749 | 0.5084 | |
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| 0.0258 | 6.96 | 574 | 1.3472 | 0.5128 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.0 |
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- Tokenizers 0.15.0 |
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