swabhs / open-sesame

A frame-semantic parsing system based on a softmax-margin SegRNN.
Apache License 2.0
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Couple questions #43

Open free-soellingeraj opened 4 years ago

free-soellingeraj commented 4 years ago

1) is there a resume function to training that enables one to not start from scratch each time? 2) approximately how long should I expect to train each network frame, target and arg on a GPU with 3GB memory? 3) can you point to any visualization tools for looking at the training data and predicted data? I think they are all in CONLL2009 format 4) can you recommend a good way think about the number of epochs per training round? How was 5 chosen? 5) why does predict mode for frameid.py require me to read the training data?

Thanks --aaron