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Set cbb_maxout_pieces=3
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@ -271,7 +271,7 @@ def PyTorchBiLSTM(nO, nI, depth, dropout=0.2):
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def Tok2Vec(width, embed_size, **kwargs):
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pretrained_vectors = kwargs.get("pretrained_vectors", None)
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cnn_maxout_pieces = kwargs.get("cnn_maxout_pieces", 2)
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cnn_maxout_pieces = kwargs.get("cnn_maxout_pieces", 3)
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subword_features = kwargs.get("subword_features", True)
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conv_depth = kwargs.get("conv_depth", 4)
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bilstm_depth = kwargs.get("bilstm_depth", 0)
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