---
license: llama2
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: TheBloke/CodeLlama-7B-Instruct-AWQ
model-index:
- name: CodeLlama-7B-Instruct-AWQ-FaVe-rank8-2epochs
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# CodeLlama-7B-Instruct-AWQ-FaVe-rank8-2epochs

This model is a fine-tuned version of [TheBloke/CodeLlama-7B-Instruct-AWQ](https://huggingface.co/TheBloke/CodeLlama-7B-Instruct-AWQ) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5842

## 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   | 2.0879          |
| 1.9597        | 0.5369 | 20   | 0.9830          |
| 1.9597        | 0.8054 | 30   | 0.7691          |
| 0.7621        | 1.0738 | 40   | 0.6956          |
| 0.7621        | 1.3423 | 50   | 0.6332          |
| 0.5841        | 1.6107 | 60   | 0.6044          |
| 0.5841        | 1.8792 | 70   | 0.5842          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1