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--- |
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license: cc-by-sa-4.0 |
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base_model: nlpaueb/bert-base-uncased-contracts |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: clause_model |
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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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# clause_model |
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This model is a fine-tuned version of [nlpaueb/bert-base-uncased-contracts](https://huggingface.co/nlpaueb/bert-base-uncased-contracts) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5961 |
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- Accuracy: 0.8955 |
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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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- 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_steps: 500 |
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- num_epochs: 10 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 3.0237 | 1.0 | 883 | 0.9479 | 0.7783 | |
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| 0.6024 | 2.0 | 1766 | 0.5360 | 0.8713 | |
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| 0.2674 | 3.0 | 2649 | 0.5095 | 0.8866 | |
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| 0.1629 | 4.0 | 3532 | 0.5706 | 0.8904 | |
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| 0.1027 | 5.0 | 4415 | 0.5767 | 0.8866 | |
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| 0.0724 | 6.0 | 5298 | 0.5502 | 0.8955 | |
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| 0.0646 | 7.0 | 6181 | 0.5825 | 0.8917 | |
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| 0.0458 | 8.0 | 7064 | 0.6150 | 0.8981 | |
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| 0.0359 | 9.0 | 7947 | 0.5936 | 0.8955 | |
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| 0.0268 | 10.0 | 8830 | 0.5961 | 0.8955 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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