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| − | *Data
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| − | :* size:200M,npdata
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| − | *parameter
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| − | rand_seed=1
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| − | nwords=10000 # This is how many words we're putting in the vocab of the RNNLM.
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| − | hidden=320
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| − | class=300 # Num-classes... should be somewhat larger than sqrt of nwords.
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| − | direct=2000 # Number of weights that are used for "direct" connections, in millions.
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| − | rnnlm_ver=rnnlm-0.3e # version of RNNLM to use
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| − | threads=1 # for RNNLM-HS
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| − | bptt=2 # length of BPTT unfolding in RNNLM
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| − | bptt_block=20 # length of BPTT unfolding in RNNLM
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| − | *Train RNNLM set
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| − | {| border="2px"
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| − | |+ Train Set Environment
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| − | |-
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| − | ! Parameters !! hidden !! class !! direct !! bbt !! bptt_block !! threads !!direct-order!!rand_seed!!nwords!!time(min)
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| − | |-
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| − | !set1
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| − | | 320 || 300 || 2000 || 2 || 20 || 1 || 4 || 1 || 10000||3380(56h)
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| − | |-
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| − | |}
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| − |
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| − | ===RNNLM Rescore===
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| − | *Acoustic Model
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| − | ** location: /nfs/disk/work/users/zhangzy/work/train_wsj_eng_new/data/train_si284
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| − | **
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| − | *test set
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| − | ** location: /nfs/disk/work/users/zhangzy/work/train_wsj_eng_new/dt/test_eval92
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| − | ** decode: /nfs/disk/work/users/zhangzy/work/train_wsj_eng_new/exp/tri4b_dnn_org/decode_eval92_tri4b_dnn_org
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| − | *Result
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| − | ** lm:4.16%,rnnlm:3.47%
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