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---
library_name: peft
base_model: NousResearch/CodeLlama-7b-hf-flash
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 9fe7fc96-6a8c-4ab3-ba1e-77f1980fb606
results: []
---
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should probably proofread and complete it, then remove this comment. -->
[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
<br>
# 9fe7fc96-6a8c-4ab3-ba1e-77f1980fb606
This model is a fine-tuned version of [NousResearch/CodeLlama-7b-hf-flash](https://huggingface.co/NousResearch/CodeLlama-7b-hf-flash) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6941
## 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: 0.000204
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 500
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log | 0.0001 | 1 | 1.1523 |
| 2.1069 | 0.0036 | 50 | 0.9481 |
| 1.8486 | 0.0071 | 100 | 0.8498 |
| 1.6075 | 0.0107 | 150 | 0.8301 |
| 1.7282 | 0.0143 | 200 | 0.7920 |
| 1.6895 | 0.0179 | 250 | 0.7721 |
| 1.678 | 0.0214 | 300 | 0.7368 |
| 1.5436 | 0.0250 | 350 | 0.7127 |
| 1.5503 | 0.0286 | 400 | 0.7006 |
| 1.5577 | 0.0322 | 450 | 0.6951 |
| 1.643 | 0.0357 | 500 | 0.6941 |
### Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1 |