Reduce number of layers for TFN model #40
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Pull major updates from main repository
…isation, dropouts, mean aggregation and pooling
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This PR reduces number of layers for TFN model from 6 to 4.
Doing so halves the time it takes the model to do one epoch (on
fold_fold), has not significantly impacted performance, and enables using batch size of 32 for consistency in benchmarking all models in our benchmark.