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Hello Mr. Jia Chen,
I wanted to clear a confusion to be able to replicate the model results AS IS.
In your paper entitled 'Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based Chatbots', the embedding dimension used is 200 on the original UDC with drop_out probability = 0.2 whereas in the 'train.sh' script at the path 'https://github.com/JasonForJoy/IMN/blob/master/Ubuntu_V1/scripts/ubuntu_train.sh' the embedding_dim used is 400 and a drop_out prob = 0.8.
Which one should be used to replicate the published results ?
Your response shall be much appreciated.
The text was updated successfully, but these errors were encountered:
Hello Mr. Jia Chen,
I wanted to clear a confusion to be able to replicate the model results AS IS.
In your paper entitled 'Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based Chatbots', the embedding dimension used is 200 on the original UDC with drop_out probability = 0.2 whereas in the 'train.sh' script at the path 'https://github.com/JasonForJoy/IMN/blob/master/Ubuntu_V1/scripts/ubuntu_train.sh' the embedding_dim used is 400 and a drop_out prob = 0.8.
Which one should be used to replicate the published results ?
Your response shall be much appreciated.
The text was updated successfully, but these errors were encountered: