llama3.1_8b_lawyer_finetuned
This model is a fine-tuned version of meta-llama/Llama-3.1-8B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0646
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: 6
- eval_batch_size: 6
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1181 | 0.3794 | 500 | 0.1088 |
| 0.0884 | 0.7587 | 1000 | 0.0817 |
| 0.0792 | 1.1381 | 1500 | 0.0749 |
| 0.0739 | 1.5175 | 2000 | 0.0710 |
| 0.0705 | 1.8968 | 2500 | 0.0678 |
| 0.0623 | 2.2762 | 3000 | 0.0661 |
| 0.062 | 2.6555 | 3500 | 0.0646 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.20.3
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Base model
meta-llama/Llama-3.1-8B