codellamafinetune7
This model is a fine-tuned version of codellama/CodeLlama-7b-Instruct-hf on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.2063
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: 1e-05
- 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
- lr_scheduler_warmup_steps: 100
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.688 | 1.0 | 1 | 3.2083 |
| 2.688 | 2.0 | 2 | 3.2088 |
| 2.6872 | 3.0 | 3 | 3.2073 |
| 2.6875 | 4.0 | 4 | 3.2082 |
| 2.6874 | 5.0 | 5 | 3.2085 |
| 2.6873 | 6.0 | 6 | 3.2069 |
| 2.6872 | 7.0 | 7 | 3.2071 |
| 2.6864 | 8.0 | 8 | 3.2063 |
Framework versions
- Transformers 4.36.0
- Pytorch 2.0.1
- Datasets 2.16.1
- Tokenizers 0.15.0
Training procedure
Framework versions
- PEFT 0.6.0
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Model tree for Zintoulou/codellamafinetune7
Base model
codellama/CodeLlama-7b-Instruct-hf