Closed dirkweissenborn closed 6 years ago
I know. DAM is mostly the same, ESIM is now built using our modular nli model (an example of how to use the modular nli model).
The problem with DAM is that you set the dropout rate to 0.8! You probably meant to set it to 0.2. Anyway, I will fix the NLI models, train and tweak them a little.
results with the current implementations and configs are good enough for now
I've been working quite a lot for making those faithful to their respective papers:
https://github.com/uclmr/inferbeddings/blob/master/inferbeddings/nli/dam.py
https://github.com/uclmr/inferbeddings/blob/master/inferbeddings/nli/esim.py