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size mismatch for cls_head.fc_cls.weight: copying a param with shape torch.Size([400, 1024]) from checkpoint, the shape in current model is torch.Size([101, 1024]).
#85
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777Rebecca opened this issue
Mar 25, 2023
· 0 comments
When I select the ucf101 data set and run the test.py file, the weight of the full connection layer does not match. Will the mismatched parameter model be trained and fine-tuned by itself? Or how do I change it to 101 dimensions?
The text was updated successfully, but these errors were encountered:
When I select the ucf101 data set and run the test.py file, the weight of the full connection layer does not match. Will the mismatched parameter model be trained and fine-tuned by itself? Or how do I change it to 101 dimensions?
The text was updated successfully, but these errors were encountered: