legal-bert-base-uncased-finetuned-filtered-cuad
This model is a fine-tuned version of nlpaueb/legal-bert-base-uncased on the filtered-cuad dataset. It achieves the following results on the evaluation set:
- Loss: 0.0436
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: 32
- eval_batch_size: 32
- 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 |
|---|---|---|---|
| 0.0606 | 1.0 | 7312 | 0.0467 |
| 0.0379 | 2.0 | 14624 | 0.0455 |
| 0.0296 | 3.0 | 21936 | 0.0436 |
Framework versions
- Transformers 4.21.0
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
- Downloads last month
- 2
This model does not have enough activity to be deployed to Inference API (serverless) yet.
Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.