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---
license: apache-2.0
language:
- en
pipeline_tag: image-text-to-text
tags:
- multimodal
- video-caption-evaluation
- reference-free
- factual-analysis
- vision-language
library_name: transformers
base_model: Qwen/Qwen2.5-VL-7B-Instruct
datasets:
- dipta007/ActivityNet-FG-It
arxiv: 2509.16538
---
# VC-Inspector-7B
<p align="center">
<a href="https://arxiv.org/abs/2509.16538">
<img src="https://img.shields.io/badge/%F0%9F%94%A5_Accepted_at-ACL_2026_(Main)_%F0%9F%94%A5-b12a00?style=for-the-badge&labelColor=ffb300" alt="Accepted at ACL 2026 (Main)">
</a>
</p>
[![ACL 2026 (Main)](https://img.shields.io/badge/ACL%202026-Main-blue)](https://arxiv.org/abs/2509.16538)
[![Paper](https://img.shields.io/badge/arXiv-2509.16538-red)](https://arxiv.org/abs/2509.16538)
[![Models](https://img.shields.io/badge/HuggingFace-Models-orange)](https://huggingface.co/collections/dipta007/vc-inspector)
[![Dataset](https://img.shields.io/badge/HuggingFace-Dataset-yellow)](https://huggingface.co/datasets/dipta007/ActivityNet-FG-It)
[![Python 3.12](https://img.shields.io/badge/python-3.12-blue.svg)](https://www.python.org/downloads/)
## Introduction
**VC-Inspector-7B** is a lightweight, open-source large multimodal model (LMM) for **reference-free evaluation of video captions** with a focus on **factual accuracy**. Unlike existing metrics that suffer from limited context handling, weak factuality assessment, or reliance on proprietary services, VC-Inspector offers a reproducible, fact-aware alternative that aligns closely with human judgments.
This model is fine-tuned from [Qwen2.5-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct) using LoRA on our synthetic dataset [ActivityNet-FG-It](https://huggingface.co/datasets/dipta007/ActivityNet-FG-It), which contains 44K video-caption pairs with controlled factual errors and quality annotations.
### Key Features
- **Reference-free Evaluation**: Evaluates video captions without requiring ground-truth references
- **Factual Grounding**: Detects factual errors in objects and actions within captions
- **Interpretable Outputs**: Generates quality scores (1-5) with natural language explanations
- **Cross-domain Generalization**: Works on both video and image caption evaluation
- **State-of-the-art Performance**: Outperforms GPT-4o-based methods on VATEX-Eval
### Model Architecture
VC-Inspector-7B is built on Qwen2.5-VL-7B-Instruct with the following modifications:
- **Vision Encoder**: Frozen (preserves generalization)
- **Visual-Language Projector**: Frozen
- **LLM Component**: Fine-tuned with LoRA (rank=32, alpha=32)
## Evaluation Results
### Correlation with Human Judgments on VATEX-Eval
| Metric | Type | Kendall's τ_b | Spearman's ρ |
|:-------|:-----|:-------------:|:------------:|
| EMScore | Reference-free | 22.88 | 29.79 |
| CLIPScore | Reference-free | 22.33 | 29.09 |
| ViCLIPScore | Reference-free | 30.92 | 39.86 |
| G-VEval (GPT-4o) | Reference-free | 39.40 | - |
| Qwen2.5-VL-7B (base) | Reference-free | 34.70 | 39.40 |
| **VC-Inspector-7B** | Reference-free | **42.58** | **45.99** |
### Cross-domain Evaluation on Image Caption Benchmarks
| Metric | Flickr8K-Expert (τ_b) | Flickr8K-CF (τ_b) |
|:-------|:---------------------:|:-----------------:|
| CLIPScore (ref-free) | 51.10 | 34.40 |
| PAC-S (ref-free) | 53.90 | 36.00 |
| **VC-Inspector-7B** | **63.43** | **45.97** |
### Synthetic Dataset Evaluation
| Dataset | Kendall's τ_b | Spearman's ρ |
|:--------|:-------------:|:------------:|
| ActivityNet-FG-Eval | 49.53 | 62.01 |
| YouCook2-FG-Eval | 44.29 | 55.31 |
## Requirements
```bash
pip install torch transformers accelerate
pip install qwen-vl-utils[decord]==0.0.8
pip install flash-attn --no-build-isolation
```
## Quickstart
### Using Transformers
```python
from transformers import Qwen2_5_VLForConditionalGeneration, AutoProcessor
from qwen_vl_utils import process_vision_info
# Load model
model = Qwen2_5_VLForConditionalGeneration.from_pretrained(
"dipta007/VCInspector-7B",
torch_dtype="auto",
device_map="auto",
)
processor = AutoProcessor.from_pretrained("dipta007/VCInspector-7B")
# Prepare input
caption = "A man is playing guitar in a field"
prompt = f"""<caption>{caption}</caption>
You are given a video and a caption describing the video content. Please rate the helpfulness, relevance, accuracy, level of details of the caption. The overall score should be on a scale of 1 to 5, where a higher score indicates better overall performance. Please first output a single line containing only one integer indicating the score. In the subsequent line, please provide a comprehensive explanation of your evaluation, avoiding any potential bias. STRICTLY FOLLOW THE FORMAT."""
messages = [
{
"role": "user",
"content": [
{"type": "video", "video": "path/to/video.mp4", "max_pixels": 360 * 420, "fps": 1.0},
{"type": "text", "text": prompt},
],
}
]
# Process and generate
text = processor.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
image_inputs, video_inputs, video_kwargs = process_vision_info(messages, return_video_kwargs=True)
inputs = processor(
text=[text],
images=image_inputs,
videos=video_inputs,
padding=True,
return_tensors="pt",
**video_kwargs,
)
inputs = inputs.to("cuda")
generated_ids = model.generate(**inputs, max_new_tokens=256)
generated_ids_trimmed = [
out_ids[len(in_ids):] for in_ids, out_ids in zip(inputs.input_ids, generated_ids)
]
output_text = processor.batch_decode(
generated_ids_trimmed, skip_special_tokens=True, clean_up_tokenization_spaces=False
)
print(output_text[0])
```
### Example Output
```
4
The caption does not accurately capture the video content. For example, the objects (guitar) are incorrect.
```
### Using with ms-swift (vLLM backend)
```python
from swift.llm import VllmEngine, InferRequest, RequestConfig
import os
os.environ["VIDEO_MAX_PIXELS"] = "50176"
os.environ["FPS_MAX_FRAMES"] = "12"
engine = VllmEngine(
"dipta007/VCInspector-7B",
max_model_len=32768,
limit_mm_per_prompt={"image": 32}
)
# Prepare request
request = InferRequest(
messages=[{"role": "user", "content": f"<image>\n{prompt}"}],
images=["frame1.jpg", "frame2.jpg", ...] # Video frames
)
config = RequestConfig(max_tokens=256, temperature=0.0)
response = engine.infer([request], config)
print(response[0].choices[0].message.content)
```
## Output Format
VC-Inspector outputs two components:
1. **Quality Score** (Line 1): Integer from 1-5
- 5: Caption is accurate and comprehensive
- 4: Minor factual errors
- 3: Moderate factual errors
- 2: Significant factual errors
- 1: Major factual errors or completely incorrect
2. **Explanation** (Line 2+): Natural language explanation identifying:
- Incorrect objects (e.g., "guitar" instead of "violin")
- Incorrect actions (e.g., "running" instead of "walking")
## Training Details
| Hyperparameter | Value |
|:---------------|:------|
| Base Model | Qwen2.5-VL-7B-Instruct |
| Training Data | ActivityNet-FG-It (44K samples) |
| Epochs | 1 |
| Global Batch Size | 128 |
| Learning Rate | 1e-4 |
| LR Scheduler | Cosine (min: 1e-5) |
| LoRA Rank | 32 |
| LoRA Alpha | 32 |
| LoRA Dropout | 0.05 |
| Number of Frames | 32 |
| Training Time | ~32 GPU hours (A100) |
## Limitations
- Primarily targets object and action correctness; attributes, spatial relationships, and fine-grained temporal ordering are not explicitly modeled
- Training relies on synthetically generated captions and pseudo-scores
- Higher computational cost compared to embedding-based metrics (though more lightweight than GPT-4o)
## Citation
If you find this work useful, please cite our paper:
```bibtex
@inproceedings{dipta2026vcinspector,
title={VC-Inspector: Advancing Reference-free Evaluation of Video Captions with Factual Analysis},
author={Shubhashis Roy Dipta and Tz-Ying Wu and Subarna Tripathi},
booktitle={Proceedings of the Association for Computational Linguistics: ACL 2026},
year={2026},
eprint={2509.16538},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2509.16538},
}
```
## Acknowledgements
This work builds upon [Qwen2.5-VL](https://github.com/QwenLM/Qwen2.5-VL) and uses [ms-swift](https://github.com/modelscope/ms-swift) for training.

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}

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preprocessor_config.json Normal file
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special_tokens_map.json Normal file
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vocab.json Normal file

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