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--- |
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language: |
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- en |
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license: mit |
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tags: |
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- generated_from_trainer |
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datasets: |
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- cuad |
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model-index: |
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- name: T5-base-cuad-512 |
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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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# T5-base fine-tuned on CUAD for Legal Contract Review (via QA) |
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the cuad dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2209 |
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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: 5e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 0.2809 | 1.0 | 2795 | 0.2331 | |
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| 0.2459 | 2.0 | 5590 | 0.2253 | |
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| 0.2355 | 3.0 | 8385 | 0.2220 | |
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| 0.2212 | 4.0 | 11180 | 0.2203 | |
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| 0.2068 | 5.0 | 13975 | 0.2197 | |
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| 0.2085 | 6.0 | 16770 | 0.2194 | |
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| 0.1968 | 7.0 | 19565 | 0.2199 | |
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| 0.1906 | 8.0 | 22360 | 0.2200 | |
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| 0.1909 | 9.0 | 25155 | 0.2208 | |
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| 0.1788 | 10.0 | 27950 | 0.2209 | |
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### Framework versions |
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- Transformers 4.16.0.dev0 |
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- Pytorch 1.10.0+cu111 |
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- Datasets 1.17.0 |
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- Tokenizers 0.10.3 |
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