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---
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 |