llama3-pycodestyle-60
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.9898
- Accuracy: 0.8
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: 0.001
- 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 |
|---|---|---|---|---|
| 4.0625 | 1.0 | 8 | 1.8714 | 0.5333 |
| 0.7672 | 2.0 | 16 | 2.4273 | 0.6667 |
| 0.4765 | 3.0 | 24 | 1.2607 | 0.8 |
| 0.0005 | 4.0 | 32 | 1.9974 | 0.8 |
| 0.0001 | 5.0 | 40 | 1.9898 | 0.8 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Base model
meta-llama/Meta-Llama-3-8B