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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_from_pretrained_model
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export FLAGS_sync_nccl_allreduce=0
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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=64 \
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--num_epoch=50 \
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--num_conv_layers=2 \
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--num_rnn_layers=3 \
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--rnn_layer_size=1024 \
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--num_iter_print=100 \
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--save_epoch=1 \
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--num_samples=120000 \
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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=True \
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--use_gpu=True \
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--is_local=True \
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--share_rnn_weights=False \
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--train_manifest='data/aishell/manifest.train' \
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--dev_manifest='data/aishell/manifest.dev' \
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--mean_std_path='data/aishell/mean_std.npz' \
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--vocab_path='data/aishell/vocab.txt' \
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--output_model_dir='./checkpoints/aishell' \
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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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