T5-base fine-tuned on CUAD for Legal Contract Review (via QA)
This model is a fine-tuned version of t5-base on the cuad dataset. It achieves the following results on the evaluation set:
- Loss: 0.2209
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2809 | 1.0 | 2795 | 0.2331 |
| 0.2459 | 2.0 | 5590 | 0.2253 |
| 0.2355 | 3.0 | 8385 | 0.2220 |
| 0.2212 | 4.0 | 11180 | 0.2203 |
| 0.2068 | 5.0 | 13975 | 0.2197 |
| 0.2085 | 6.0 | 16770 | 0.2194 |
| 0.1968 | 7.0 | 19565 | 0.2199 |
| 0.1906 | 8.0 | 22360 | 0.2200 |
| 0.1909 | 9.0 | 25155 | 0.2208 |
| 0.1788 | 10.0 | 27950 | 0.2209 |
Framework versions
- Transformers 4.16.0.dev0
- Pytorch 1.10.0+cu111
- Datasets 1.17.0
- Tokenizers 0.10.3
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