README.md

---
base_model: codellama/CodeLlama-7b-hf
library_name: peft
license: llama2
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: finetune-llama-7b-text-to-sql
  results: []
---

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# Finetuning Llama-7b on text-to-sql task

This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/CodeLlama-7b-hf) on [b-mc2/sql-create-context](https://huggingface.co/datasets/b-mc2/sql-create-context).


## Training and evaluation data

The model is trained on 10,000 random samples from [b-mc2/sql-create-context](https://huggingface.co/datasets/b-mc2/sql-create-context).
It is trained in a manner described by [Phil Schmid here](https://www.philschmid.de/fine-tune-llms-in-2024-with-trl).


## Training hyperparameters

| Hyperparameter | Value |
| -------------- | ----- |
| learning_rate | 0.0002 | 
| train_batch_size | 50 | 
| eval_batch_size | 8 | 
| seed | 42 | 
| gradient_accumulation_steps | 2 | 
| total_train_batch_size | 100 | 
| optimizer | Adam with betas=(0.9,0.999) and epsilon=1e-08 | 
| lr_scheduler_type | constant | 
| lr_scheduler_warmup_ratio | 0.03 | 
| num_epochs | 3 | 

## Training results

![Train loss](train_loss.png)


## Framework versions

- PEFT 0.7.2.dev0
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.2