legal-bert-base-uncased-supreme-court-summaries-2
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: 1.5445
- Accuracy: 0.6156
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: 16
- eval_batch_size: 16
- seed: 47
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6228 | 1.0 | 1320 | 0.6084 | 0.6267 |
| 0.5672 | 2.0 | 2640 | 0.6318 | 0.6315 |
| 0.4577 | 3.0 | 3960 | 0.7553 | 0.6248 |
| 0.3173 | 4.0 | 5280 | 0.9317 | 0.6207 |
| 0.2069 | 5.0 | 6600 | 1.2745 | 0.6163 |
| 0.146 | 6.0 | 7920 | 1.5445 | 0.6156 |
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/legal-bert-base-uncased-supreme-court-summaries-2
Base model
nlpaueb/legal-bert-base-uncased