legal-bert-base-uncased-finetuned-RRamicus
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: 1.1520
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: 928
- 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 |
|---|---|---|---|
| 1.021 | 1.0 | 1118 | 1.3393 |
| 1.2272 | 2.0 | 2236 | 1.2612 |
| 1.2467 | 3.0 | 3354 | 1.2403 |
| 1.2149 | 4.0 | 4472 | 1.2276 |
| 1.1855 | 5.0 | 5590 | 1.2101 |
| 1.1674 | 6.0 | 6708 | 1.2020 |
| 1.1508 | 7.0 | 7826 | 1.1893 |
| 1.1386 | 8.0 | 8944 | 1.1870 |
| 1.129 | 9.0 | 10062 | 1.1794 |
| 1.1193 | 10.0 | 11180 | 1.1759 |
Framework versions
- Transformers 4.16.2
- Pytorch 1.10.0+cu111
- Datasets 1.18.3
- Tokenizers 0.11.6
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