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results_008
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 20.8098
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: 4
- eval_batch_size: 4
- 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 |
|---|---|---|---|
| 21.2839 | 1.0 | 1 | 21.0366 |
| 21.2839 | 2.0 | 2 | 20.7089 |
| 21.2839 | 3.0 | 3 | 20.8205 |
| 21.2839 | 4.0 | 4 | 20.5746 |
| 21.2839 | 5.0 | 5 | 20.8098 |
Framework versions
- PEFT 0.11.1
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
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Base model
meta-llama/Meta-Llama-3-8B-Instruct