“Wsj data”版本间的差异
来自cslt Wiki
(→RNNLM Rescore) |
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(相同用户的3个中间修订版本未显示) | |||
第2行: | 第2行: | ||
:* size:200M,npdata | :* size:200M,npdata | ||
:* location:/nfs/disk/perm/data/corpora/wsj/data/wsj0/doc/lng_modl/lm_train/np_data | :* location:/nfs/disk/perm/data/corpora/wsj/data/wsj0/doc/lng_modl/lm_train/np_data | ||
+ | :* dic:/work/lr/word2vector/RNN/RNN/Kaldi+RNN/RNNTEST/kaldi-trunk/egs/wsj/s5/data/local/dict_larger/wordlist.cmu | ||
*parameter | *parameter | ||
rand_seed=1 | rand_seed=1 | ||
第17行: | 第18行: | ||
|+ Train Set Environment | |+ Train Set Environment | ||
|- | |- | ||
− | ! Parameters !! hidden !! class !! direct !! bbt !! bptt_block !! threads !!direct-order!!rand_seed!!nwords!!time(min) | + | ! Parameters !! hidden !! class !! direct-connection !! bbt !! bptt_block !! threads !!direct-order!!rand_seed!!nwords!!time(min) |
|- | |- | ||
!set1 | !set1 | ||
− | | 320 || 300 || | + | | 320 || 300 || 2000000000 || 3 || 20 || 1 || 4 || 1 || 10000||3380(56h) |
|- | |- | ||
|} | |} | ||
第32行: | 第33行: | ||
** decode: /nfs/disk/work/users/zhangzy/work/train_wsj_eng_new/exp/tri4b_dnn_org/decode_eval92_tri4b_dnn_org | ** decode: /nfs/disk/work/users/zhangzy/work/train_wsj_eng_new/exp/tri4b_dnn_org/decode_eval92_tri4b_dnn_org | ||
*Result | *Result | ||
− | ** lm: | + | ** lm:3.81%,rnnlm:3.35% |
2014年10月27日 (一) 01:14的最后版本
- Data
- size:200M,npdata
- location:/nfs/disk/perm/data/corpora/wsj/data/wsj0/doc/lng_modl/lm_train/np_data
- dic:/work/lr/word2vector/RNN/RNN/Kaldi+RNN/RNNTEST/kaldi-trunk/egs/wsj/s5/data/local/dict_larger/wordlist.cmu
- parameter
rand_seed=1 nwords=10000 # This is how many words we're putting in the vocab of the RNNLM. hidden=320 class=300 # Num-classes... should be somewhat larger than sqrt of nwords. direct=2000 # Number of weights that are used for "direct" connections, in millions. rnnlm_ver=rnnlm-0.3e # version of RNNLM to use threads=1 # for RNNLM-HS bptt=2 # length of BPTT unfolding in RNNLM bptt_block=20 # length of BPTT unfolding in RNNLM
- Train RNNLM set
Parameters | hidden | class | direct-connection | bbt | bptt_block | threads | direct-order | rand_seed | nwords | time(min) |
---|---|---|---|---|---|---|---|---|---|---|
set1 | 320 | 300 | 2000000000 | 3 | 20 | 1 | 4 | 1 | 10000 | 3380(56h) |
RNNLM Rescore
- Acoustic Model
- location: /nfs/disk/work/users/zhangzy/work/train_wsj_eng_new/data/train_si284
- test set
- location: /nfs/disk/work/users/zhangzy/work/train_wsj_eng_new/dt/test_eval92
- decode: /nfs/disk/work/users/zhangzy/work/train_wsj_eng_new/exp/tri4b_dnn_org/decode_eval92_tri4b_dnn_org
- Result
- lm:3.81%,rnnlm:3.35%