topic-legal-bert-base-uncased-supreme-court-32batch_5epoch_2e5lr_1wd
This model is a fine-tuned version of nlpaueb/legal-bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8106
- Accuracy: 0.7792
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: 7
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.1459 | 1.0 | 660 | 0.7969 | 0.7536 |
| 0.6979 | 2.0 | 1320 | 0.7465 | 0.7766 |
| 0.5716 | 3.0 | 1980 | 0.7352 | 0.7821 |
| 0.3391 | 4.0 | 2640 | 0.7701 | 0.7855 |
| 0.2815 | 5.0 | 3300 | 0.8106 | 0.7792 |
Framework versions
- Transformers 4.35.1
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
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Model tree for annabellehuether/topic-legal-bert-base-uncased-supreme-court-32batch_5epoch_2e5lr_1wd
Base model
nlpaueb/legal-bert-base-uncased