Llama-2-code-python
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0589
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: 6
- eval_batch_size: 6
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.612 | 0.3183 | 30 | 1.6686 |
| 1.4094 | 0.6366 | 60 | 1.4388 |
| 1.2172 | 0.9549 | 90 | 1.2583 |
| 1.0647 | 1.2732 | 120 | 1.1357 |
| 1.0144 | 1.5915 | 150 | 1.0771 |
| 1.0622 | 1.9098 | 180 | 1.0643 |
| 1.045 | 2.2281 | 210 | 1.0599 |
| 1.0739 | 2.5464 | 240 | 1.0588 |
| 1.0306 | 2.8647 | 270 | 1.0589 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for amztheory/Llama-2-code-python
Base model
meta-llama/Llama-2-7b-chat-hf