---
license: llama2
library_name: peft
tags:
- generated_from_trainer
base_model: codellama/CodeLlama-7b-hf
model-index:
- name: sql-code-llama
  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. -->

# sql-code-llama

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: 0.4583

## 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: 0.0003
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 400
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.2023        | 0.04  | 20   | 2.0520          |
| 1.212         | 0.07  | 40   | 0.8926          |
| 0.8532        | 0.11  | 60   | 0.7526          |
| 0.5953        | 0.14  | 80   | 0.5960          |
| 0.3869        | 0.18  | 100  | 0.5596          |
| 0.5738        | 0.22  | 120  | 0.5181          |
| 0.4281        | 0.25  | 140  | 0.5080          |
| 0.6451        | 0.29  | 160  | 0.5146          |
| 0.4874        | 0.33  | 180  | 0.4893          |
| 0.3588        | 0.36  | 200  | 0.5016          |
| 0.5308        | 0.4   | 220  | 0.4816          |
| 0.4006        | 0.43  | 240  | 0.4777          |
| 0.5958        | 0.47  | 260  | 0.4780          |
| 0.4682        | 0.51  | 280  | 0.4685          |
| 0.3507        | 0.54  | 300  | 0.4753          |
| 0.5079        | 0.58  | 320  | 0.4664          |
| 0.3933        | 0.62  | 340  | 0.4626          |
| 0.5839        | 0.65  | 360  | 0.4622          |
| 0.4543        | 0.69  | 380  | 0.4594          |
| 0.3475        | 0.72  | 400  | 0.4583          |


### Framework versions

- PEFT 0.10.1.dev0
- Transformers 4.36.0
- Pytorch 2.0.1+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2