fix embedding_dim in default_model

combo/default_model.py

@@ -160,7 +160,7 @@ def default_model(pretrained_transformer_name: str, vocabulary: Vocabulary, use_
                 activations=[GELUActivation(), GELUActivation(), GELUActivation(), LinearActivation()],
                 char_vocab_namespace="token_characters",
                 dilation=[1, 2, 4, 1],
-                embedding_dim=256,
+                embedding_dim=300,
                 filters=[256, 256, 256],
                 input_projection_layer=Linear(
                     activation=TanhActivation(),