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39 lines
896 B
39 lines
896 B
#! /usr/bin/env bash
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# grid-search for hyper-parameters in language model
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CUDA_VISIBLE_DEVICES=0,1,2,3 \
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python3 -u ${MAIN_ROOT}tools/tune.py \
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--num_batches=-1 \
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--batch_size=128 \
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--beam_size=500 \
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--num_proc_bsearch=12 \
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--num_conv_layers=2 \
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--num_rnn_layers=3 \
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--rnn_layer_size=2048 \
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--num_alphas=45 \
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--num_betas=8 \
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--alpha_from=1.0 \
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--alpha_to=3.2 \
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--beta_from=0.1 \
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--beta_to=0.45 \
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--cutoff_prob=1.0 \
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--cutoff_top_n=40 \
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--use_gru=False \
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--use_gpu=True \
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--share_rnn_weights=True \
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--tune_manifest="data/manifest.dev-clean" \
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--mean_std_path="data/mean_std.npz" \
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--vocab_path="${MAIN_ROOT}/models/librispeech/vocab.txt" \
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--model_path="${MAIN_ROOT}/models/librispeech" \
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--lang_model_path="${MAIN_ROOT}/models/lm/common_crawl_00.prune01111.trie.klm" \
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--error_rate_type="wer" \
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--specgram_type="linear"
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if [ $? -ne 0 ]; then
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echo "Failed in tuning!"
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exit 1
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fi
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exit 0
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