#!/bin/bash
  
  . ./00_init_paths.sh
  
    # I'm using basically the same setup as for Switchboard 100 hours,
    # but slightly fewer parameters (8M -> 7M) as we have slightly less
    # data (81 hours).
   steps/train_nnet_cpu.sh \
     --mix-up 8000 \
     --initial-learning-rate 0.01 --final-learning-rate 0.001 \
     --num-jobs-nnet 16 --num-hidden-layers 4 \
     --num-parameters 8000000 \
      data/train lang_train exp/tri4b_ali exp/nnet5c1 || exit 1
    
    steps/decode_nnet_cpu.sh --nj 6 \
      --transform-dir exp/tri4b/decode_dev \
       exp/tri4b/graph data/dev exp/nnet5c1/decode_dev
  
  
   steps/train_nnet_cpu_mmi.sh --boost 0.1 --initial-learning-rate 0.001 \
     --minibatch-size 128 --transform-dir exp/tri4b_ali \
     data/train lang_train exp/tri5c1_nnet exp/tri5c1_nnet exp/tri5c1_denlats exp/tri5c1_mmi_a
   
   steps/decode_nnet_cpu.sh --nj 6 \
     --transform-dir exp/tri3b/decode_dev \
     exp/tri3b/graph data/dev exp/tri5c1_mmi_a/decode_dev