---
license: llama2
base_model: codellama/CodeLlama-7b-hf
tags:
- generated_from_trainer
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: 0.0810

## 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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.033         | 0.28  | 20   | 1.9418          |
| 1.3136        | 0.56  | 40   | 0.8477          |
| 0.1674        | 0.83  | 60   | 0.1384          |
| 0.1276        | 1.11  | 80   | 0.1220          |
| 0.1106        | 1.39  | 100  | 0.1046          |
| 0.102         | 1.67  | 120  | 0.0946          |
| 0.0917        | 1.94  | 140  | 0.0903          |
| 0.0895        | 2.22  | 160  | 0.0887          |
| 0.0889        | 2.5   | 180  | 0.0872          |
| 0.0874        | 2.78  | 200  | 0.0858          |
| 0.086         | 3.06  | 220  | 0.0851          |
| 0.0861        | 3.33  | 240  | 0.0842          |
| 0.085         | 3.61  | 260  | 0.0835          |
| 0.0821        | 3.89  | 280  | 0.0830          |
| 0.0838        | 4.17  | 300  | 0.0823          |
| 0.0816        | 4.44  | 320  | 0.0820          |
| 0.0785        | 4.72  | 340  | 0.0815          |
| 0.0819        | 5.0   | 360  | 0.0812          |
| 0.081         | 5.28  | 380  | 0.0810          |
| 0.0765        | 5.56  | 400  | 0.0810          |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.15.0