Low performance when testing with saved models

Hello,

I noticed that when I ran the code in the test mode, I get almost zero performance, as if the model is not trained at all, but I was getting high scores when I ran the code end to end.

I did a little bit of debugging and found out that when you run in test mode, you make "symbol2id" from the scratch which is different with the symbol2id used during the training. "symbol2id" is then used in the build_connection function, resulting in wrong meta information.

I added the following line to the end of the load_embed() function to save symbol2id during the training: with open(self.dataset + '/symbol2ids', 'w') as fp: json.dump(symbol_id, fp)

and changed the load_symbol2id functions: def load_symbol2id(self): symbol_id = json.load(open(self.dataset + '/symbol2ids')) self.symbol2id = symbol_id self.symbol2vec = None

This solved the problem for me.