AkeyLegalBert_inScotus_and_Ledgar
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: 3.4717
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 |
---|---|---|---|
4.0759 | 1.0 | 9878 | 3.9296 |
3.8398 | 2.0 | 19756 | 3.7768 |
3.7403 | 3.0 | 29634 | 3.6650 |
3.6514 | 4.0 | 39512 | 3.5936 |
3.6146 | 5.0 | 49390 | 3.5524 |
3.5412 | 6.0 | 59268 | 3.4985 |
3.5465 | 7.0 | 69146 | 3.4769 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1
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