llama3-pycodestyle-480
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: 0.2454
- Accuracy: 0.9667
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 |
---|---|---|---|---|
1.0094 | 1.0 | 60 | 1.1250 | 0.875 |
0.3028 | 2.0 | 120 | 0.4615 | 0.95 |
0.459 | 3.0 | 180 | 0.1061 | 0.975 |
0.1836 | 4.0 | 240 | 0.4896 | 0.9667 |
0.0453 | 5.0 | 300 | 0.2454 | 0.9667 |
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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