---
base_model: defog/sqlcoder-7b-2
library_name: peft
license: cc-by-sa-4.0
tags:
- trl
- sft
- QLora
- peft
- SQL
- causal-lm
model-index:
- name: sqlcoder-7b-2_FineTuned_PEFT_QLORA_adapter
  results: []
language:
- en
---


# sqlcoder-7b-2_FineTuned_QLORA_Adapter

This model is a fine-tuned version of [defog/sqlcoder-7b-2](https://huggingface.co/defog/sqlcoder-7b-2) on 260 MS SQL examples (Task, Schema and Answer pairs).

## Model description

More information needed

## Intended uses & limitations

SQL Query Generation

## Training and evaluation data

This model was re-trained using the QLoRA method, with the following configurations:
- 'r = 32', 'lora_alpha = 32', 'lora_dropout = 0.1', bias='none', task_type='CAUSAL_LM'

Quantization parameters: 
- load_in_4bit=True, bnb_4bit_quant_type="nf4", bnb_4bit_compute_dtype=torch.bfloat16

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 5
- mixed_precision_training: Native AMP

### Framework versions

- PEFT 0.13.2
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1