[GitHub] [incubator-mxnet] gigasquid commented on issue #15023: Extend Clojure BERT example

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gigasquid commented on issue #15023: Extend Clojure BERT example
URL: https://github.com/apache/incubator-mxnet/pull/15023#issuecomment-495288807
 
 
   Thanks @daveliepmann - Looks great so far!
   Here are the answers to your questions:
   
   _is there a way to pass the fine-tuned model directly to the infer API, rather than creating a factory over a saved checkpoint?_
   
   No - there currently isn't a way to do that. It's a good idea to investigate :)
   
    _is my interpretation of results correct? I included some individual samples that surprised me._
   A couple things to keep in mind:
   
   1. The example is really on for demostration purposes. In the original Gluon NLP tutorial there is a Conclusion section https://gluon-nlp.mxnet.io/examples/sentence_embedding/bert.html
   
   ```For demonstration purpose, we skipped the warmup learning rate schedule and validation on dev dataset used in the original implementation. ```
   
   We don't have a validation set only a training set that is going to affect the fine-tuning. We are also only running it for 3 epochs, we only have a training accuracy of about 0.70
   
   2. Your results are going to be better the closer it is to your fine tuned data. Some of your made up sentences have words that might not be in the vocab as well. Any words that are not in there get assigned an unknown token.
   
   In general, I think it's a great addition and I am happy to see it come along :)

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