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--- |
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license: cc |
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base_model: joelniklaus/legal-xlm-roberta-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: bert-leg-al-corpus |
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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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# bert-leg-al-corpus |
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This model is a fine-tuned version of [joelniklaus/legal-xlm-roberta-base](https://huggingface.co/joelniklaus/legal-xlm-roberta-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.7948 |
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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-06 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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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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- num_epochs: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.8679 | 0.4219 | 100 | 1.8208 | |
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| 1.8623 | 0.8439 | 200 | 1.8081 | |
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| 1.8987 | 1.2658 | 300 | 1.8153 | |
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| 1.8659 | 1.6878 | 400 | 1.7836 | |
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| 1.8685 | 2.1097 | 500 | 1.7825 | |
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| 1.8734 | 2.5316 | 600 | 1.7903 | |
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| 1.9124 | 2.9536 | 700 | 1.7771 | |
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| 1.8875 | 3.3755 | 800 | 1.7819 | |
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| 1.9029 | 3.7975 | 900 | 1.8032 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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