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legal-summ
brandonowens/legal-summ
legal-summ is a machine learning model from brandonowens. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- bart
- Access
- Public
- Created
- Apr 7, 2024
- Updated
- Apr 7, 2024
- SHA
- 6dded2d3
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-summ
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7647
- Rouge1: 0.1649
- Rouge2: 0.0753
- Rougel: 0.119
- Rougelsum: 0.1189
- Gen Len: 62.0
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: 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: 3
Training results
| Training Loss | Epoch | Step | Gen Len | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|---|
| 2.2044 | 1.0 | 1375 | 62.0 | 1.9564 | 0.1603 | 0.0682 | 0.1144 | 0.1145 |
| 2.0082 | 2.0 | 2750 | 62.0 | 1.8184 | 0.164 | 0.0733 | 0.1182 | 0.1182 |
| 1.8914 | 3.0 | 4125 | 1.7647 | 0.1649 | 0.0753 | 0.119 | 0.1189 | 62.0 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- bart
- Created
- Apr 7, 2024
- Updated
- Apr 7, 2024