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Legal_act101
classicakeza5/Legal_act101
Legal_act101 is a text classification model from classicakeza5. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- luke
- Access
- Public
- Created
- May 11, 2024
- Updated
- May 11, 2024
- SHA
- e4d0048d
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Base models
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_act101
This model is a fine-tuned version of studio-ousia/mluke-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1734
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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 |
|---|---|---|---|
| 0.4319 | 1.0 | 443 | 0.2880 |
| 0.1956 | 2.0 | 886 | 0.2239 |
| 0.4354 | 3.0 | 1329 | 0.2060 |
| 0.5987 | 4.0 | 1772 | 0.1693 |
| 0.1867 | 5.0 | 2215 | 0.1674 |
| 0.0974 | 6.0 | 2658 | 0.1748 |
| 0.263 | 7.0 | 3101 | 0.1616 |
| 0.1949 | 8.0 | 3544 | 0.1512 |
| 0.0053 | 9.0 | 3987 | 0.1841 |
| 0.1426 | 10.0 | 4430 | 0.1734 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- luke
- License
- apache-2.0
- Created
- May 11, 2024
- Updated
- May 11, 2024