InLegalBERT-5-epochs-fine-tune
This model is a fine-tuned version of law-ai/InLegalBERT on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8945
- Accuracy: 0.8335
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: 5e-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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.0224 | 1.0 | 643 | 0.6162 | 0.8195 |
| 0.55 | 2.0 | 1286 | 0.6389 | 0.8358 |
| 0.4205 | 3.0 | 1929 | 0.7489 | 0.8304 |
| 0.1503 | 4.0 | 2572 | 0.8605 | 0.8335 |
| 0.1065 | 5.0 | 3215 | 0.8945 | 0.8335 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2
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Base model
law-ai/InLegalBERT