---
library_name: peft
license: apache-2.0
base_model: Qwen/Qwen2.5-0.5B-Instruct
tags:
- base_model:adapter:Qwen/Qwen2.5-0.5B-Instruct
- llama-factory
- lora
- transformers
pipeline_tag: text-generation
model-index:
- name: question_generation_model
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# question_generation_model

This model is a fine-tuned version of [Qwen/Qwen2.5-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct) on the questions_finetune_train dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5050

## 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: 0.0005
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.4919        | 1.3333 | 100  | 0.5065          |
| 0.3998        | 2.6667 | 200  | 0.5052          |


### Framework versions

- PEFT 0.17.1
- Transformers 4.57.1
- Pytorch 2.9.1+cu128
- Datasets 2.16.1
- Tokenizers 0.22.1