diff --git a/pytext/config/component.py b/pytext/config/component.py
index 2a0dcd9b6..127bf27bb 100644
--- a/pytext/config/component.py
+++ b/pytext/config/component.py
@@ -203,7 +203,8 @@ def create_component(component_type: ComponentType, config: Any, *args, **kwargs
     try:
         return cls.from_config(config, *args, **kwargs)
     except TypeError as e:
-        raise Exception(f"Can't create component {cls}: {str(e)}")
+        raise e
+        # raise Exception(f"Can't create component {cls}: {str(e)}")
 
 
 def create_data_handler(data_handler_config, *args, **kwargs):
diff --git a/pytext/models/seq_models/seq2seq_model.py b/pytext/models/seq_models/seq2seq_model.py
index 09f0ab49c..c481706e9 100644
--- a/pytext/models/seq_models/seq2seq_model.py
+++ b/pytext/models/seq_models/seq2seq_model.py
@@ -107,8 +107,8 @@ def arrange_model_inputs(
         torch.Tensor,
         torch.Tensor,
     ]:
-        src_tokens, src_lengths, _ = tensor_dict["src_seq_tokens"]
-        trg_tokens, trg_lengths, _ = tensor_dict["trg_seq_tokens"]
+        src_tokens, src_lengths = tensor_dict["src_seq_tokens"]
+        trg_tokens, trg_lengths = tensor_dict["trg_seq_tokens"]
 
         def _shift_target(in_sequences, seq_lens, eos_idx, pad_idx):
             shifted_sequence = GetTensor(
@@ -136,7 +136,7 @@ def _shift_target(in_sequences, seq_lens, eos_idx, pad_idx):
         )
 
     def arrange_targets(self, tensor_dict):
-        trg_tokens, trg_lengths, _ = tensor_dict["trg_seq_tokens"]
+        trg_tokens, trg_lengths = tensor_dict["trg_seq_tokens"]
         return (trg_tokens, trg_lengths)
 
     def __init__(
@@ -196,7 +196,7 @@ def forward(
     ):
         additional_features: List[List[torch.Tensor]] = []
 
-        if dict_feats:
+        if dict_feats is not None:
             additional_features.append(list(dict_feats))
 
         if contextual_token_embedding is not None:
@@ -206,7 +206,7 @@ def forward(
             src_tokens, additional_features, src_lengths, trg_tokens
         )
 
-        if dict_feats:
+        if dict_feats is not None:
             (
                 output_dict["dict_tokens"],
                 output_dict["dict_weights"],