---
library_name: transformers
license: other
base_model: Qwen/Qwen3-VL-8B-Instruct
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: MetaReason-SFT
  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. -->

# MetaReason-SFT

This model is a fine-tuned version of [Qwen/Qwen3-VL-8B-Instruct](https://huggingface.co/Qwen/Qwen3-VL-8B-Instruct) on the MathVRTrain_multimodal_train, the ZKPG_multimodal_train and the MathCanvasInstruct_multimodal_train datasets.
It achieves the following results on the evaluation set:
- Loss: 0.2481

## 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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- total_eval_batch_size: 8
- optimizer: Use 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: 0.1
- num_epochs: 2.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.2922        | 0.2867 | 500  | 0.2858          |
| 0.2697        | 0.5734 | 1000 | 0.2753          |
| 0.2635        | 0.8601 | 1500 | 0.2656          |
| 0.2103        | 1.1468 | 2000 | 0.2603          |
| 0.2022        | 1.4335 | 2500 | 0.2535          |
| 0.2048        | 1.7202 | 3000 | 0.2490          |


### Framework versions

- Transformers 4.57.1
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.22.1