runtime error

t model is torch.Size([300]). size mismatch for 2.running_var: copying a param with shape torch.Size([1000]) from checkpoint, the shape in current model is torch.Size([300]). size mismatch for 3.weight: copying a param with shape torch.Size([1000, 1000]) from checkpoint, the shape in current model is torch.Size([300, 300]). size mismatch for 3.bias: copying a param with shape torch.Size([1000]) from checkpoint, the shape in current model is torch.Size([300]). size mismatch for 5.weight: copying a param with shape torch.Size([1000]) from checkpoint, the shape in current model is torch.Size([300]). size mismatch for 5.bias: copying a param with shape torch.Size([1000]) from checkpoint, the shape in current model is torch.Size([300]). size mismatch for 5.running_mean: copying a param with shape torch.Size([1000]) from checkpoint, the shape in current model is torch.Size([300]). size mismatch for 5.running_var: copying a param with shape torch.Size([1000]) from checkpoint, the shape in current model is torch.Size([300]). size mismatch for 6.weight: copying a param with shape torch.Size([400, 1000]) from checkpoint, the shape in current model is torch.Size([200, 300]). size mismatch for 6.bias: copying a param with shape torch.Size([400]) from checkpoint, the shape in current model is torch.Size([200]). size mismatch for 8.weight: copying a param with shape torch.Size([400]) from checkpoint, the shape in current model is torch.Size([200]). size mismatch for 8.bias: copying a param with shape torch.Size([400]) from checkpoint, the shape in current model is torch.Size([200]). size mismatch for 8.running_mean: copying a param with shape torch.Size([400]) from checkpoint, the shape in current model is torch.Size([200]). size mismatch for 8.running_var: copying a param with shape torch.Size([400]) from checkpoint, the shape in current model is torch.Size([200]). size mismatch for 9.weight: copying a param with shape torch.Size([125, 400]) from checkpoint, the shape in current model is torch.Size([125, 200]).

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