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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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model-index: |
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- name: entity_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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# entity_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: 0.0230 |
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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: 100 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.2326 | 1.0 | 208 | 0.1823 | |
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| 0.1492 | 2.0 | 416 | 0.1103 | |
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| 0.1086 | 3.0 | 624 | 0.0816 | |
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| 0.0727 | 4.0 | 832 | 0.0594 | |
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| 0.0652 | 5.0 | 1040 | 0.0471 | |
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| 0.0594 | 6.0 | 1248 | 0.0388 | |
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| 0.0472 | 7.0 | 1456 | 0.0327 | |
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| 0.0417 | 8.0 | 1664 | 0.0283 | |
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| 0.0353 | 9.0 | 1872 | 0.0250 | |
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| 0.0289 | 10.0 | 2080 | 0.0230 | |
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### Framework versions |
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- Transformers 4.42.0 |
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- Pytorch 2.5.0+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.19.1 |
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