legal-bert-base-uncased-supreme-court-summaries-batch32
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: 0.6456
- Accuracy: 0.6352
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.635 | 1.0 | 660 | 0.6169 | 0.63 |
| 0.6 | 2.0 | 1320 | 0.6154 | 0.6337 |
| 0.5619 | 3.0 | 1980 | 0.6456 | 0.6352 |
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-batch32
Base model
nlpaueb/legal-bert-base-uncased