legal-bert-small-uncased-cuad
This model is a fine-tuned version of nlpaueb/legal-bert-small-uncased on the cuad dataset. It achieves the following results on the evaluation set:
- Loss: 0.0371
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: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0565 | 1.0 | 11081 | 0.0411 |
| 0.0489 | 2.0 | 22162 | 0.0364 |
| 0.0409 | 3.0 | 33243 | 0.0371 |
Framework versions
- Transformers 4.21.1
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1