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---
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: []
---
<!-- 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. -->
# 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
## Framework versions
- PEFT 0.7.2.dev0
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.2 |