CodeLlama-7b-Instruct-hf-FaVe-rank16-2epochs
This model is a fine-tuned version of meta-llama/CodeLlama-7b-Instruct-hf on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6098
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: 0.0005
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.2685 | 10 | 1.8306 |
| 1.8152 | 0.5369 | 20 | 0.8570 |
| 1.8152 | 0.8054 | 30 | 0.7126 |
| 0.6561 | 1.0738 | 40 | 0.6743 |
| 0.6561 | 1.3423 | 50 | 0.6424 |
| 0.4729 | 1.6107 | 60 | 0.6297 |
| 0.4729 | 1.8792 | 70 | 0.6098 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for Ferdi/CodeLlama-7b-Instruct-hf-FaVe-rank16-2epochs
Base model
meta-llama/CodeLlama-7b-Instruct-hf