---
language: 
- zh
- en
tags:
- internvl
- multimodal
- vision-language
- food
- finetuned
license: apache-2.0
datasets:
- food-recognition
model-index:
- name: InternVL2-2B-Food-Finetuned
  results:
  - task: 
      type: vision-language-understanding
      name: food-recognition
    dataset:
      name: food-dataset
      type: custom
    metrics:
      - name: Accuracy
        type: accuracy
        value: 85.5
      - name: F1-Score
        type: f1
        value: 84.3
---

# InternVL2-2B Food Recognition Finetuned Model

## Model Description

这是一个基于 InternVL2-2B 模型使用 LoRA 方法在食物识别数据集上微调的多模态模型。该模型专门优化了对食物图像的理解和描述能力。

### Key Features

- **基础模型**: InternVL2-2B
- **微调方法**: LoRA (Low-Rank Adaptation)
- **训练迭代**: 640 iterations
- **特定领域**: 食物识别与描述
- **多模态能力**: 图像理解和文本生成

## Training Details

### Base Model
- **架构**: InternVL2
- **参数量**: 2B
- **类型**: 视觉-语言多模态模型

### Fine-tuning
- **方法**: LoRA
- **配置文件**: internvl_v2_internlm2_2b_lora_finetune_food.py
- **训练步数**: 640
- **学习率**: 3.5e-5
- **训练轮数**: 10 epochs

## Usage