---
license: llama2
base_model: codellama/CodeLlama-7b-hf
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: lora-fine-tuning-llama2-SQL-lora-codellama
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# lora-fine-tuning-llama2-SQL-lora-codellama

This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/CodeLlama-7b-hf) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5720

## 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: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 3
- total_train_batch_size: 12
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.7803        | 0.06  | 5    | 2.5059          |
| 1.2647        | 0.12  | 10   | 1.1731          |
| 0.8026        | 0.18  | 15   | 0.8834          |
| 0.6482        | 0.24  | 20   | 0.8281          |
| 0.8146        | 0.3   | 25   | 0.7858          |
| 0.7458        | 0.36  | 30   | 0.7275          |
| 0.5377        | 0.42  | 35   | 0.6520          |
| 0.5659        | 0.48  | 40   | 0.6560          |
| 0.6104        | 0.54  | 45   | 0.6101          |
| 0.6253        | 0.6   | 50   | 0.6024          |
| 0.4878        | 0.66  | 55   | 0.5891          |
| 0.4777        | 0.72  | 60   | 0.5830          |
| 0.634         | 0.78  | 65   | 0.5831          |
| 0.5562        | 0.84  | 70   | 0.5771          |
| 0.4696        | 0.9   | 75   | 0.5734          |
| 0.4193        | 0.96  | 80   | 0.5720          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1