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#! /usr/bin/env bash
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cd ../.. > /dev/null
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# train model
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# if you wish to resume from an exists model, uncomment --init_model_path
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CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 \
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python -u train.py \
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--batch_size=512 \
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--trainer_count=8 \
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--num_passes=50 \
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--num_proc_data=8 \
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--num_conv_layers=2 \
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--num_rnn_layers=3 \
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--rnn_layer_size=2048 \
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--num_iter_print=100 \
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--learning_rate=5e-4 \
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--max_duration=27.0 \
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--min_duration=0.0 \
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--test_off=False \
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--use_sortagrad=True \
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--use_gru=False \
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--use_gpu=True \
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--is_local=True \
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--share_rnn_weights=True \
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--train_manifest='data/librispeech/manifest.train' \
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--dev_manifest='data/librispeech/manifest.dev' \
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--mean_std_path='data/librispeech/mean_std.npz' \
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--vocab_path='data/librispeech/vocab.txt' \
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--output_model_dir='./checkpoints/libri' \
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--augment_conf_path='conf/augmentation.config' \
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--specgram_type='linear' \
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--shuffle_method='batch_shuffle_clipped'
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if [ $? -ne 0 ]; then
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echo "Failed in training!"
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exit 1
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fi
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exit 0
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