RuntimeError: Error(s) in loading state_dict for Model

你好，我想用yolov5 v6.1的yolov5s.pt作为预训练模型，通过convert_pt_to_efficient.py转换yolov5s.pt得到e-yolov5s.pt，转换的配置文件用的是configs/sup/public/yolov5s_coco.yaml，转换过程没有报错，于是我用这个e-yolov5s.pt直接采用半监督的方式训练20个类别的模型，但是我在加载e-yolov5s.pt的时候报如下的错误：RuntimeError: Error(s) in loading state_dict for Model:
size mismatch for head.m.0.weight: copying a param with shape torch.Size([255, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([75, 128, 1, 1]).
size mismatch for head.m.0.bias: copying a param with shape torch.Size([255]) from checkpoint, the shape in current model is torch.Size([75]).
size mismatch for head.m.1.weight: copying a param with shape torch.Size([255, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([75, 256, 1, 1]).
size mismatch for head.m.1.bias: copying a param with shape torch.Size([255]) from checkpoint, the shape in current model is torch.Size([75]).
size mismatch for head.m.2.weight: copying a param with shape torch.Size([255, 512, 1, 1]) from checkpoint, the shape in current model is torch.Size([75, 512, 1, 1]).
size mismatch for head.m.2.bias: copying a param with shape torch.Size([255]) from checkpoint, the shape in current model is torch.Size([75]).
Traceback (most recent call last):

这是不是意味着，半监督的预训练模型不能直接用官方80个类别的进行训练呢