Image/ViT/code/train.py

import sys
import os
sys.path.append(os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))))

from utils.dataset_utils import get_cifar10_dataloaders
from utils.train_utils import train_model
from model import ViT

def main():
    # 获取数据加载器
    trainloader, testloader = get_cifar10_dataloaders(batch_size=128)
    
    # 创建模型
    model = ViT(
        img_size=32,
        patch_size=4,
        in_chans=3,
        n_classes=10,
        embed_dim=96,
        depth=12,
        n_heads=8,
        mlp_ratio=4.,
        qkv_bias=True,
        p=0.1,
        attn_p=0.1,
    )
    
    # 训练模型
    train_model(
        model=model,
        trainloader=trainloader,
        testloader=testloader,
        epochs=200,
        lr=0.001,  # Vision Transformer通常使用较小的学习率
        device='cuda',
        save_dir='../model',
        model_name='vit'
    )

if __name__ == '__main__':
    main()