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legal-bert-base-uncased-finetuned-ledgarscotus7
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: 4.0791
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: 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: 7.0
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
4.7788 | 1.0 | 9875 | 4.6216 |
4.4556 | 2.0 | 19750 | 4.4128 |
4.3939 | 3.0 | 29625 | 4.2954 |
4.242 | 4.0 | 39500 | 4.2137 |
4.1791 | 5.0 | 49375 | 4.1229 |
4.1333 | 6.0 | 59250 | 4.1023 |
4.0668 | 7.0 | 69125 | 4.0447 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1