---
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: 0.4621

## 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

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.1563        | 0.04  | 20   | 1.9767          |
| 1.1222        | 0.07  | 40   | 0.8267          |
| 0.814         | 0.11  | 60   | 0.6637          |
| 0.5956        | 0.14  | 80   | 0.5908          |
| 0.405         | 0.18  | 100  | 0.5643          |
| 0.5643        | 0.22  | 120  | 0.5204          |
| 0.4326        | 0.25  | 140  | 0.5107          |
| 0.6401        | 0.29  | 160  | 0.5211          |
| 0.4789        | 0.33  | 180  | 0.4908          |
| 0.3577        | 0.36  | 200  | 0.5069          |
| 0.5289        | 0.4   | 220  | 0.4851          |
| 0.3971        | 0.43  | 240  | 0.4811          |
| 0.5972        | 0.47  | 260  | 0.4807          |
| 0.4683        | 0.51  | 280  | 0.4712          |
| 0.3442        | 0.54  | 300  | 0.4790          |
| 0.5148        | 0.58  | 320  | 0.4692          |
| 0.3917        | 0.62  | 340  | 0.4661          |
| 0.5769        | 0.65  | 360  | 0.4661          |
| 0.4603        | 0.69  | 380  | 0.4629          |
| 0.3461        | 0.72  | 400  | 0.4621          |


### Framework versions

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