Monitor performance on some held-out set

zhongkaifu / Seq2SeqSharp

Seq2SeqSharp is a tensor based fast & flexible deep neural network framework written by .NET (C#). It has many highlighted features, such as automatic differentiation, different network types (Transformer, LSTM, BiLSTM and so on), multi-GPUs supported, cross-platforms (Windows, Linux, x86, x64, ARM), multimodal model for text and images and so on.

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Monitor performance on some held-out set #2

Closed usptact closed 5 years ago

usptact commented 5 years ago

Hi, I found this project very useful when building my seq2seq models. I am wondering whether it is easy to implement reporting the performance on a held-out set (validation set) during the training? What would be the place in the code to look at? This would allow to do the best model selection. Thanks!

zhongkaifu commented 5 years ago

Sure. I will add this in my plan.