---
library_name: peft
license: apache-2.0
base_model: Qwen/Qwen2-0.5B
tags:
- base_model:adapter:Qwen/Qwen2-0.5B
- lora
- transformers
pipeline_tag: text-generation
model-index:
- name: qwen2-sql-lora
  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. -->

# qwen2-sql-lora

This model is a fine-tuned version of [Qwen/Qwen2-0.5B](https://huggingface.co/Qwen/Qwen2-0.5B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6407

## 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: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.6799        | 0.3282 | 500  | 0.6805          |
| 0.6903        | 0.6564 | 1000 | 0.6626          |
| 0.6142        | 0.9846 | 1500 | 0.6526          |
| 0.6491        | 1.3124 | 2000 | 0.6463          |
| 0.6526        | 1.6406 | 2500 | 0.6428          |
| 0.6208        | 1.9688 | 3000 | 0.6407          |


### Framework versions

- PEFT 0.17.0
- Transformers 4.55.2
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.21.4