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log/errs-test-clean-beam_4-epoch-39-avg-15-beam-4.txt ADDED
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log/errs-test-clean-greedy_search-epoch-39-avg-15-context-2-max-sym-per-frame-1.txt ADDED
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log/errs-test-other-beam_4-epoch-39-avg-15-beam-4.txt ADDED
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log/errs-test-other-greedy_search-epoch-39-avg-15-context-2-max-sym-per-frame-1.txt ADDED
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log/log-decode-epoch-39-avg-15-beam-4-2022-03-01-10-30-58 ADDED
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+ 2022-03-01 10:30:58,402 INFO [decode.py:416] Decoding started
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+ 2022-03-01 10:30:58,402 INFO [decode.py:422] Device: cuda:0
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+ 2022-03-01 10:30:58,407 INFO [decode.py:431] {'feature_dim': 80, 'encoder_out_dim': 512, 'subsampling_factor': 4, 'attention_dim': 512, 'nhead': 8, 'dim_feedforward': 2048, 'num_encoder_layers': 12, 'vgg_frontend': False, 'env_info': {'k2-version': '1.13', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': 'f4fefe4882bc0ae59af951da3f47335d5495ef71', 'k2-git-date': 'Thu Feb 10 15:16:02 2022', 'lhotse-version': '1.0.0.dev+missing.version.file', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'multiple-datasets', 'icefall-git-sha1': 'aadd7ca-clean', 'icefall-git-date': 'Mon Feb 21 15:11:46 2022', 'icefall-path': '/ceph-fj/fangjun/open-source-2/icefall-multi-datasets', 'k2-path': '/ceph-fj/fangjun/open-source-2/k2-multi-datasets/k2/python/k2/__init__.py', 'lhotse-path': '/ceph-fj/fangjun/open-source-2/lhotse-multi-datasets/lhotse/__init__.py', 'hostname': 'de-74279-k2-dev-8-0218134109-68b6994b68-l4qrs', 'IP address': '10.177.63.208'}, 'epoch': 39, 'avg': 15, 'exp_dir': PosixPath('transducer_stateless_multi_datasets/exp-full-2'), 'bpe_model': './data/lang_bpe_500/bpe.model', 'decoding_method': 'modified_beam_search', 'beam_size': 4, 'context_size': 2, 'max_sym_per_frame': 3, 'max_duration': 100, 'bucketing_sampler': True, 'num_buckets': 30, 'shuffle': True, 'return_cuts': True, 'num_workers': 2, 'enable_spec_aug': True, 'spec_aug_time_warp_factor': 80, 'enable_musan': True, 'manifest_dir': PosixPath('data/fbank'), 'on_the_fly_feats': False, 'res_dir': PosixPath('transducer_stateless_multi_datasets/exp-full-2/modified_beam_search'), 'suffix': 'epoch-39-avg-15-beam-4', 'blank_id': 0, 'vocab_size': 500}
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+ 2022-03-01 10:30:58,407 INFO [decode.py:433] About to create model
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+ 2022-03-01 10:30:58,889 INFO [decode.py:444] averaging ['transducer_stateless_multi_datasets/exp-full-2/epoch-25.pt', 'transducer_stateless_multi_datasets/exp-full-2/epoch-26.pt', 'transducer_stateless_multi_datasets/exp-full-2/epoch-27.pt', 'transducer_stateless_multi_datasets/exp-full-2/epoch-28.pt', 'transducer_stateless_multi_datasets/exp-full-2/epoch-29.pt', 'transducer_stateless_multi_datasets/exp-full-2/epoch-30.pt', 'transducer_stateless_multi_datasets/exp-full-2/epoch-31.pt', 'transducer_stateless_multi_datasets/exp-full-2/epoch-32.pt', 'transducer_stateless_multi_datasets/exp-full-2/epoch-33.pt', 'transducer_stateless_multi_datasets/exp-full-2/epoch-34.pt', 'transducer_stateless_multi_datasets/exp-full-2/epoch-35.pt', 'transducer_stateless_multi_datasets/exp-full-2/epoch-36.pt', 'transducer_stateless_multi_datasets/exp-full-2/epoch-37.pt', 'transducer_stateless_multi_datasets/exp-full-2/epoch-38.pt', 'transducer_stateless_multi_datasets/exp-full-2/epoch-39.pt']
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+ 2022-03-01 10:31:16,354 INFO [decode.py:455] Number of model parameters: 84007924
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+ 2022-03-01 10:31:16,355 INFO [librispeech.py:58] About to get test-clean cuts from data/fbank/cuts_test-clean.json.gz
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+ 2022-03-01 10:31:16,481 INFO [librispeech.py:63] About to get test-other cuts from data/fbank/cuts_test-other.json.gz
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+ 2022-03-01 10:38:04,007 INFO [decode.py:358] The transcripts are stored in transducer_stateless_multi_datasets/exp-full-2/modified_beam_search/recogs-test-clean-beam_4-epoch-39-avg-15-beam-4.txt
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+ 2022-03-01 10:38:04,080 INFO [utils.py:404] [test-clean-beam_4] %WER 2.61% [1372 / 52576, 160 ins, 104 del, 1108 sub ]
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+ 2022-03-01 10:38:04,293 INFO [decode.py:371] Wrote detailed error stats to transducer_stateless_multi_datasets/exp-full-2/modified_beam_search/errs-test-clean-beam_4-epoch-39-avg-15-beam-4.txt
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+ 2022-03-01 10:38:04,294 INFO [decode.py:388]
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+ For test-clean, WER of different settings are:
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+ beam_4 2.61 best for test-clean
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+
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+ 2022-03-01 10:44:42,923 INFO [decode.py:341] batch 106/?, cuts processed until now is 1686
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+ 2022-03-01 10:44:47,033 INFO [decode.py:341] batch 108/?, cuts processed until now is 1716
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+ 2022-03-01 10:44:51,103 INFO [decode.py:341] batch 110/?, cuts processed until now is 1774
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+ 2022-03-01 10:44:55,193 INFO [decode.py:341] batch 112/?, cuts processed until now is 1812
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+ 2022-03-01 10:44:59,328 INFO [decode.py:341] batch 114/?, cuts processed until now is 1849
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+ 2022-03-01 10:45:03,324 INFO [decode.py:341] batch 116/?, cuts processed until now is 1872
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+ 2022-03-01 10:45:07,416 INFO [decode.py:341] batch 118/?, cuts processed until now is 1894
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+ 2022-03-01 10:45:11,599 INFO [decode.py:341] batch 120/?, cuts processed until now is 1938
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+ 2022-03-01 10:45:15,819 INFO [decode.py:341] batch 122/?, cuts processed until now is 1968
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+ 2022-03-01 10:45:19,922 INFO [decode.py:341] batch 124/?, cuts processed until now is 1982
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+ 2022-03-01 10:45:24,132 INFO [decode.py:341] batch 126/?, cuts processed until now is 2007
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+ 2022-03-01 10:45:28,299 INFO [decode.py:341] batch 128/?, cuts processed until now is 2037
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+ 2022-03-01 10:45:32,431 INFO [decode.py:341] batch 130/?, cuts processed until now is 2105
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+ 2022-03-01 10:45:36,575 INFO [decode.py:341] batch 132/?, cuts processed until now is 2152
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+ 2022-03-01 10:45:40,656 INFO [decode.py:341] batch 134/?, cuts processed until now is 2172
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+ 2022-03-01 10:45:44,800 INFO [decode.py:341] batch 136/?, cuts processed until now is 2206
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+ 2022-03-01 10:45:48,055 INFO [decode.py:341] batch 138/?, cuts processed until now is 2228
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+ 2022-03-01 10:45:51,102 INFO [decode.py:341] batch 140/?, cuts processed until now is 2238
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+ 2022-03-01 10:45:54,372 INFO [decode.py:341] batch 142/?, cuts processed until now is 2290
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+ 2022-03-01 10:45:57,482 INFO [decode.py:341] batch 144/?, cuts processed until now is 2321
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+ 2022-03-01 10:45:59,750 INFO [decode.py:341] batch 146/?, cuts processed until now is 2353
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+ 2022-03-01 10:46:02,926 INFO [decode.py:341] batch 148/?, cuts processed until now is 2410
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+ 2022-03-01 10:46:05,895 INFO [decode.py:341] batch 150/?, cuts processed until now is 2420
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+ 2022-03-01 10:46:09,090 INFO [decode.py:341] batch 152/?, cuts processed until now is 2456
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+ 2022-03-01 10:46:12,132 INFO [decode.py:341] batch 154/?, cuts processed until now is 2479
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+ 2022-03-01 10:46:15,194 INFO [decode.py:341] batch 156/?, cuts processed until now is 2496
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+ 2022-03-01 10:46:17,202 INFO [decode.py:341] batch 158/?, cuts processed until now is 2513
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+ 2022-03-01 10:46:20,516 INFO [decode.py:341] batch 160/?, cuts processed until now is 2531
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+ 2022-03-01 10:46:23,642 INFO [decode.py:341] batch 162/?, cuts processed until now is 2555
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+ 2022-03-01 10:46:26,860 INFO [decode.py:341] batch 164/?, cuts processed until now is 2587
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+ 2022-03-01 10:46:29,979 INFO [decode.py:341] batch 166/?, cuts processed until now is 2621
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+ 2022-03-01 10:46:33,252 INFO [decode.py:341] batch 168/?, cuts processed until now is 2650
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+ 2022-03-01 10:46:35,338 INFO [decode.py:341] batch 170/?, cuts processed until now is 2661
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+ 2022-03-01 10:46:38,675 INFO [decode.py:341] batch 172/?, cuts processed until now is 2673
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+ 2022-03-01 10:46:42,668 INFO [decode.py:341] batch 174/?, cuts processed until now is 2698
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+ 2022-03-01 10:46:46,996 INFO [decode.py:341] batch 176/?, cuts processed until now is 2721
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+ 2022-03-01 10:46:51,185 INFO [decode.py:341] batch 178/?, cuts processed until now is 2737
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+ 2022-03-01 10:46:54,152 INFO [decode.py:341] batch 180/?, cuts processed until now is 2758
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+ 2022-03-01 10:46:58,351 INFO [decode.py:341] batch 182/?, cuts processed until now is 2770
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+ 2022-03-01 10:47:02,462 INFO [decode.py:341] batch 184/?, cuts processed until now is 2786
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+ 2022-03-01 10:47:06,254 INFO [decode.py:341] batch 186/?, cuts processed until now is 2805
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+ 2022-03-01 10:47:10,214 INFO [decode.py:341] batch 188/?, cuts processed until now is 2817
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+ 2022-03-01 10:47:12,517 INFO [decode.py:341] batch 190/?, cuts processed until now is 2825
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+ 2022-03-01 10:47:16,292 INFO [decode.py:341] batch 192/?, cuts processed until now is 2843
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+ 2022-03-01 10:47:20,752 INFO [decode.py:341] batch 194/?, cuts processed until now is 2857
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+ 2022-03-01 10:47:25,151 INFO [decode.py:341] batch 196/?, cuts processed until now is 2871
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+ 2022-03-01 10:47:29,706 INFO [decode.py:341] batch 198/?, cuts processed until now is 2885
222
+ 2022-03-01 10:47:43,670 INFO [decode.py:341] batch 200/?, cuts processed until now is 2899
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+ 2022-03-01 10:48:00,238 INFO [decode.py:341] batch 202/?, cuts processed until now is 2913
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+ 2022-03-01 10:48:17,396 INFO [decode.py:341] batch 204/?, cuts processed until now is 2927
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+ 2022-03-01 10:48:31,564 INFO [decode.py:341] batch 206/?, cuts processed until now is 2939
226
+ 2022-03-01 10:48:31,719 INFO [decode.py:358] The transcripts are stored in transducer_stateless_multi_datasets/exp-full-2/modified_beam_search/recogs-test-other-beam_4-epoch-39-avg-15-beam-4.txt
227
+ 2022-03-01 10:48:31,793 INFO [utils.py:404] [test-other-beam_4] %WER 6.46% [3381 / 52343, 362 ins, 294 del, 2725 sub ]
228
+ 2022-03-01 10:48:32,010 INFO [decode.py:371] Wrote detailed error stats to transducer_stateless_multi_datasets/exp-full-2/modified_beam_search/errs-test-other-beam_4-epoch-39-avg-15-beam-4.txt
229
+ 2022-03-01 10:48:32,011 INFO [decode.py:388]
230
+ For test-other, WER of different settings are:
231
+ beam_4 6.46 best for test-other
232
+
233
+ 2022-03-01 10:48:32,011 INFO [decode.py:483] Done!
log/log-decode-epoch-39-avg-15-context-2-max-sym-per-frame-1-2022-03-01-10-29-35 ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ 2022-03-01 10:29:35,513 INFO [decode.py:416] Decoding started
2
+ 2022-03-01 10:29:35,513 INFO [decode.py:422] Device: cuda:0
3
+ 2022-03-01 10:29:35,519 INFO [decode.py:431] {'feature_dim': 80, 'encoder_out_dim': 512, 'subsampling_factor': 4, 'attention_dim': 512, 'nhead': 8, 'dim_feedforward': 2048, 'num_encoder_layers': 12, 'vgg_frontend': False, 'env_info': {'k2-version': '1.13', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': 'f4fefe4882bc0ae59af951da3f47335d5495ef71', 'k2-git-date': 'Thu Feb 10 15:16:02 2022', 'lhotse-version': '1.0.0.dev+missing.version.file', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'multiple-datasets', 'icefall-git-sha1': 'aadd7ca-clean', 'icefall-git-date': 'Mon Feb 21 15:11:46 2022', 'icefall-path': '/ceph-fj/fangjun/open-source-2/icefall-multi-datasets', 'k2-path': '/ceph-fj/fangjun/open-source-2/k2-multi-datasets/k2/python/k2/__init__.py', 'lhotse-path': '/ceph-fj/fangjun/open-source-2/lhotse-multi-datasets/lhotse/__init__.py', 'hostname': 'de-74279-k2-dev-8-0218134109-68b6994b68-l4qrs', 'IP address': '10.177.63.208'}, 'epoch': 39, 'avg': 15, 'exp_dir': PosixPath('transducer_stateless_multi_datasets/exp-full-2'), 'bpe_model': './data/lang_bpe_500/bpe.model', 'decoding_method': 'greedy_search', 'beam_size': 4, 'context_size': 2, 'max_sym_per_frame': 1, 'max_duration': 100, 'bucketing_sampler': True, 'num_buckets': 30, 'shuffle': True, 'return_cuts': True, 'num_workers': 2, 'enable_spec_aug': True, 'spec_aug_time_warp_factor': 80, 'enable_musan': True, 'manifest_dir': PosixPath('data/fbank'), 'on_the_fly_feats': False, 'res_dir': PosixPath('transducer_stateless_multi_datasets/exp-full-2/greedy_search'), 'suffix': 'epoch-39-avg-15-context-2-max-sym-per-frame-1', 'blank_id': 0, 'vocab_size': 500}
4
+ 2022-03-01 10:29:35,519 INFO [decode.py:433] About to create model
5
+ 2022-03-01 10:29:36,012 INFO [decode.py:444] averaging ['transducer_stateless_multi_datasets/exp-full-2/epoch-25.pt', 'transducer_stateless_multi_datasets/exp-full-2/epoch-26.pt', 'transducer_stateless_multi_datasets/exp-full-2/epoch-27.pt', 'transducer_stateless_multi_datasets/exp-full-2/epoch-28.pt', 'transducer_stateless_multi_datasets/exp-full-2/epoch-29.pt', 'transducer_stateless_multi_datasets/exp-full-2/epoch-30.pt', 'transducer_stateless_multi_datasets/exp-full-2/epoch-31.pt', 'transducer_stateless_multi_datasets/exp-full-2/epoch-32.pt', 'transducer_stateless_multi_datasets/exp-full-2/epoch-33.pt', 'transducer_stateless_multi_datasets/exp-full-2/epoch-34.pt', 'transducer_stateless_multi_datasets/exp-full-2/epoch-35.pt', 'transducer_stateless_multi_datasets/exp-full-2/epoch-36.pt', 'transducer_stateless_multi_datasets/exp-full-2/epoch-37.pt', 'transducer_stateless_multi_datasets/exp-full-2/epoch-38.pt', 'transducer_stateless_multi_datasets/exp-full-2/epoch-39.pt']
6
+ 2022-03-01 10:30:20,294 INFO [decode.py:455] Number of model parameters: 84007924
7
+ 2022-03-01 10:30:20,294 INFO [librispeech.py:58] About to get test-clean cuts from data/fbank/cuts_test-clean.json.gz
8
+ 2022-03-01 10:30:20,427 INFO [librispeech.py:63] About to get test-other cuts from data/fbank/cuts_test-other.json.gz
9
+ 2022-03-01 10:30:21,865 INFO [decode.py:341] batch 0/?, cuts processed until now is 20
10
+ 2022-03-01 10:31:36,080 INFO [decode.py:341] batch 100/?, cuts processed until now is 1406
11
+ 2022-03-01 10:32:59,172 INFO [decode.py:341] batch 200/?, cuts processed until now is 2563
12
+ 2022-03-01 10:33:07,070 INFO [decode.py:358] The transcripts are stored in transducer_stateless_multi_datasets/exp-full-2/greedy_search/recogs-test-clean-greedy_search-epoch-39-avg-15-context-2-max-sym-per-frame-1.txt
13
+ 2022-03-01 10:33:07,143 INFO [utils.py:404] [test-clean-greedy_search] %WER 2.64% [1389 / 52576, 162 ins, 111 del, 1116 sub ]
14
+ 2022-03-01 10:33:07,355 INFO [decode.py:371] Wrote detailed error stats to transducer_stateless_multi_datasets/exp-full-2/greedy_search/errs-test-clean-greedy_search-epoch-39-avg-15-context-2-max-sym-per-frame-1.txt
15
+ 2022-03-01 10:33:07,356 INFO [decode.py:388]
16
+ For test-clean, WER of different settings are:
17
+ greedy_search 2.64 best for test-clean
18
+
19
+ 2022-03-01 10:33:08,566 INFO [decode.py:341] batch 0/?, cuts processed until now is 23
20
+ 2022-03-01 10:34:33,508 INFO [decode.py:341] batch 100/?, cuts processed until now is 1614
21
+ 2022-03-01 10:35:55,650 INFO [decode.py:341] batch 200/?, cuts processed until now is 2899
22
+ 2022-03-01 10:36:00,523 INFO [decode.py:358] The transcripts are stored in transducer_stateless_multi_datasets/exp-full-2/greedy_search/recogs-test-other-greedy_search-epoch-39-avg-15-context-2-max-sym-per-frame-1.txt
23
+ 2022-03-01 10:36:00,599 INFO [utils.py:404] [test-other-greedy_search] %WER 6.55% [3431 / 52343, 360 ins, 321 del, 2750 sub ]
24
+ 2022-03-01 10:36:00,819 INFO [decode.py:371] Wrote detailed error stats to transducer_stateless_multi_datasets/exp-full-2/greedy_search/errs-test-other-greedy_search-epoch-39-avg-15-context-2-max-sym-per-frame-1.txt
25
+ 2022-03-01 10:36:00,819 INFO [decode.py:388]
26
+ For test-other, WER of different settings are:
27
+ greedy_search 6.55 best for test-other
28
+
29
+ 2022-03-01 10:36:00,820 INFO [decode.py:483] Done!
log/recogs-test-clean-beam_4-epoch-39-avg-15-beam-4.txt ADDED
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log/recogs-test-clean-greedy_search-epoch-39-avg-15-context-2-max-sym-per-frame-1.txt ADDED
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log/recogs-test-other-beam_4-epoch-39-avg-15-beam-4.txt ADDED
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log/recogs-test-other-greedy_search-epoch-39-avg-15-context-2-max-sym-per-frame-1.txt ADDED
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