Llama2-MGT-Test
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4140
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: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.4735 | 1.0 | 600 | 1.4509 |
| 1.3866 | 2.0 | 1200 | 1.4155 |
| 1.3135 | 3.0 | 1800 | 1.4140 |
Framework versions
- Transformers 4.30.0
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.13.3
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