size mismatch, m1: [13000 x 13], m2: [1000 x 4] at /pytorch/aten/src/THC/generic/THCTensorMathBlas.cu:266
This is the error when i try to do Fine Tuning on SqueezeNet.
This is the code, i want to make regression with 4 output:
def squeezeNet_model():
    model_conv = models.squeezenet1_1(pretrained=True)
    mod = list(model_conv.classifier.children())
    mod.pop()
    mod.append(nn.Linear(1000, 4))
    new_classifier = nn.Sequential(*mod)
    model_conv.classifier = new_classifier


    return model_conv

Where i wrong?