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---
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
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