---
library_name: peft
license: other
base_model: Qwen/Qwen3-8B
tags:
- llama-factory
- lora
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: factory_qwen_results
  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. -->

# factory_qwen_results

This model is a fine-tuned version of [Qwen/Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B) on the train dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2496
- Accuracy: 0.9448

## 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: 0.0001
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 3
- gradient_accumulation_steps: 4
- total_train_batch_size: 24
- total_eval_batch_size: 6
- optimizer: Use OptimizerNames.ADAMW_TORCH 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: 0.03
- num_epochs: 9.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.3591        | 1.0    | 42   | 0.3988          | 0.9035   |
| 0.2673        | 2.0    | 84   | 0.3260          | 0.9197   |
| 0.2425        | 3.0    | 126  | 0.2898          | 0.9289   |
| 0.2069        | 4.0    | 168  | 0.2659          | 0.9346   |
| 0.138         | 5.0    | 210  | 0.2525          | 0.9391   |
| 0.1251        | 6.0    | 252  | 0.2497          | 0.9431   |
| 0.1072        | 7.0    | 294  | 0.2475          | 0.9439   |
| 0.1059        | 8.0    | 336  | 0.2483          | 0.9446   |
| 0.1073        | 8.7904 | 369  | 0.2496          | 0.9448   |


### Framework versions

- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.7.1+cu126
- Datasets 3.6.0
- Tokenizers 0.21.1