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legal-bert-small-cuad
alex-apostolo/legal-bert-small-cuad
legal-bert-small-cuad is a question answering model from alex-apostolo. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as cc-by-sa-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Question Answering
- Library
- transformers
- License
- cc-by-sa-4.0
- Model type
- bert
- Access
- Public
- Created
- Aug 9, 2022
- Updated
- Aug 9, 2022
- SHA
- 1f5337a9
Try a prompt
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
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
- Task
- Question Answering
- Library
- transformers
- Type
- bert
- License
- cc-by-sa-4.0
- Created
- Aug 9, 2022
- Updated
- Aug 9, 2022