Tacotron 2 - PyTorch implementation with faster-than-realtime inference
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Error(s) in loading state_dict for Tacotron2

I am training a tacotron2 model for a new dataset but it gives an error. Error is given below:

RuntimeError: Error(s) in loading state_dict for Tacotron2: size mismatch for embedding.weight: copying a param with shape torch.Size([148, 512]) from checkpoint, the shape in current model is torch.Size([88, 512]).

How can I resolve it?


  1. Seems like your contains fewer symbols than the one in the pre-trained model. Try updating n_symbols in your to 88 and add "symbols" to ignore_layers.