update results based on fast_beam_search_nbest_LG decoding

log/fast_beam_search_nbest_LG/log-decode-epoch-10-avg-2-beam-20.0-max-contexts-8-max-states-64-2022-07-18-19-42-43

@@ -1,6 +0,0 @@
-2022-07-18 19:42:43,958 INFO [decode.py:590] Decoding started
-2022-07-18 19:42:43,958 INFO [decode.py:596] Device: cuda:0
-2022-07-18 19:42:45,367 INFO [lexicon.py:176] Loading pre-compiled data/lang_char/Linv.pt
-2022-07-18 19:42:45,471 INFO [decode.py:607] {'best_train_loss': inf, 'best_valid_loss': inf, 'best_train_epoch': -1, 'best_valid_epoch': -1, 'batch_idx_train': 10, 'log_interval': 1, 'reset_interval': 200, 'feature_dim': 80, 'subsampling_factor': 4, 'encoder_dim': 512, 'nhead': 8, 'dim_feedforward': 2048, 'num_encoder_layers': 12, 'decoder_dim': 512, 'joiner_dim': 512, 'env_info': {'k2-version': '1.15.1', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': 'f8d2dba06c000ffee36aab5b66f24e7c9809f116', 'k2-git-date': 'Thu Apr 21 12:20:34 2022', 'lhotse-version': '1.5.0.dev+git.7cce647.dirty', 'torch-version': '1.11.0', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'add-LG-decoding-method-for-pruned-rnnt2', 'icefall-git-sha1': 'ffca1ae-dirty', 'icefall-git-date': 'Fri Jul 15 10:32:54 2022', 'icefall-path': '/ceph-meixu/luomingshuang/icefall', 'k2-path': '/ceph-ms/luomingshuang/k2_latest/k2/python/k2/__init__.py', 'lhotse-path': '/ceph-meixu/luomingshuang/anaconda3/envs/k2-python/lib/python3.8/site-packages/lhotse-1.5.0.dev0+git.7cce647.dirty-py3.8.egg/lhotse/__init__.py', 'hostname': 'de-74279-k2-train-7-0616225511-78bf4545d8-tv52r', 'IP address': '10.177.77.9'}, 'epoch': 10, 'batch': None, 'avg': 2, 'avg_last_n': 0, 'exp_dir': PosixPath('pruned_transducer_stateless2/exp'), 'lang_dir': 'data/lang_char', 'decoding_method': 'fast_beam_search_nbest_LG', 'beam_size': 4, 'beam': 20.0, 'max_contexts': 8, 'max_states': 64, 'context_size': 2, 'max_sym_per_frame': 1, 'num_paths': 200, 'nbest_scale': 0.5, 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 600, 'bucketing_sampler': True, 'num_buckets': 300, 'concatenate_cuts': False, 'duration_factor': 1.0, 'gap': 1.0, 'on_the_fly_feats': False, 'shuffle': True, 'return_cuts': True, 'num_workers': 2, 'enable_spec_aug': True, 'spec_aug_time_warp_factor': 80, 'enable_musan': True, 'training_subset': 'L', 'res_dir': PosixPath('pruned_transducer_stateless2/exp/fast_beam_search_nbest_LG'), 'suffix': 'epoch-10-avg-2-beam-20.0-max-contexts-8-max-states-64', 'blank_id': 0, 'vocab_size': 5537}
-2022-07-18 19:42:45,471 INFO [decode.py:609] About to create model
-2022-07-18 19:42:46,166 INFO [decode.py:630] averaging ['pruned_transducer_stateless2/exp/epoch-9.pt', 'pruned_transducer_stateless2/exp/epoch-10.pt']

log/fast_beam_search_nbest_LG/log-decode-epoch-10-avg-2-beam-20.0-max-contexts-8-max-states-64-2022-07-18-19-44-34

@@ -1,7 +0,0 @@
-2022-07-18 19:44:34,533 INFO [decode.py:590] Decoding started
-2022-07-18 19:44:34,533 INFO [decode.py:596] Device: cuda:0
-2022-07-18 19:44:36,055 INFO [lexicon.py:176] Loading pre-compiled data/lang_char/Linv.pt
-2022-07-18 19:44:36,157 INFO [decode.py:607] {'best_train_loss': inf, 'best_valid_loss': inf, 'best_train_epoch': -1, 'best_valid_epoch': -1, 'batch_idx_train': 10, 'log_interval': 1, 'reset_interval': 200, 'feature_dim': 80, 'subsampling_factor': 4, 'encoder_dim': 512, 'nhead': 8, 'dim_feedforward': 2048, 'num_encoder_layers': 12, 'decoder_dim': 512, 'joiner_dim': 512, 'env_info': {'k2-version': '1.15.1', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': 'f8d2dba06c000ffee36aab5b66f24e7c9809f116', 'k2-git-date': 'Thu Apr 21 12:20:34 2022', 'lhotse-version': '1.5.0.dev+git.7cce647.dirty', 'torch-version': '1.11.0', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'add-LG-decoding-method-for-pruned-rnnt2', 'icefall-git-sha1': 'ffca1ae-dirty', 'icefall-git-date': 'Fri Jul 15 10:32:54 2022', 'icefall-path': '/ceph-meixu/luomingshuang/icefall', 'k2-path': '/ceph-ms/luomingshuang/k2_latest/k2/python/k2/__init__.py', 'lhotse-path': '/ceph-meixu/luomingshuang/anaconda3/envs/k2-python/lib/python3.8/site-packages/lhotse-1.5.0.dev0+git.7cce647.dirty-py3.8.egg/lhotse/__init__.py', 'hostname': 'de-74279-k2-train-7-0616225511-78bf4545d8-tv52r', 'IP address': '10.177.77.9'}, 'epoch': 10, 'batch': None, 'avg': 2, 'avg_last_n': 0, 'exp_dir': PosixPath('pruned_transducer_stateless2/exp'), 'lang_dir': 'data/lang_char', 'decoding_method': 'fast_beam_search_nbest_LG', 'beam_size': 4, 'beam': 20.0, 'max_contexts': 8, 'max_states': 64, 'context_size': 2, 'max_sym_per_frame': 1, 'num_paths': 200, 'nbest_scale': 0.5, 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 600, 'bucketing_sampler': True, 'num_buckets': 300, 'concatenate_cuts': False, 'duration_factor': 1.0, 'gap': 1.0, 'on_the_fly_feats': False, 'shuffle': True, 'return_cuts': True, 'num_workers': 2, 'enable_spec_aug': True, 'spec_aug_time_warp_factor': 80, 'enable_musan': True, 'training_subset': 'L', 'res_dir': PosixPath('pruned_transducer_stateless2/exp/fast_beam_search_nbest_LG'), 'suffix': 'epoch-10-avg-2-beam-20.0-max-contexts-8-max-states-64', 'blank_id': 0, 'vocab_size': 5537}
-2022-07-18 19:44:36,157 INFO [decode.py:609] About to create model
-2022-07-18 19:44:36,855 INFO [decode.py:630] averaging ['pruned_transducer_stateless2/exp/epoch-9.pt', 'pruned_transducer_stateless2/exp/epoch-10.pt']
-2022-07-18 19:44:43,670 INFO [decode.py:641] Loading data/lang_char/LG.pt

log/fast_beam_search_nbest_LG/{log-decode-epoch-10-avg-2-beam-20.0-max-contexts-8-max-states-64-2022-07-18-19-45-37 → log-decode-epoch-10-avg-2-beam-20.0-max-contexts-8-max-states-64-ngram-lm-scale-0.35-2022-07-26-11-26-29}

@@ -1,249 +1,249 @@
-2022-07-18 19:45:37,355 INFO [decode.py:600] Decoding started
-2022-07-18 19:45:37,355 INFO [decode.py:606] Device: cuda:0
-2022-07-18 19:45:38,666 INFO [lexicon.py:176] Loading pre-compiled data/lang_char/Linv.pt
-2022-07-18 19:45:38,758 INFO [decode.py:617] {'best_train_loss': inf, 'best_valid_loss': inf, 'best_train_epoch': -1, 'best_valid_epoch': -1, 'batch_idx_train': 10, 'log_interval': 1, 'reset_interval': 200, 'feature_dim': 80, 'subsampling_factor': 4, 'encoder_dim': 512, 'nhead': 8, 'dim_feedforward': 2048, 'num_encoder_layers': 12, 'decoder_dim': 512, 'joiner_dim': 512, 'env_info': {'k2-version': '1.15.1', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': 'f8d2dba06c000ffee36aab5b66f24e7c9809f116', 'k2-git-date': 'Thu Apr 21 12:20:34 2022', 'lhotse-version': '1.5.0.dev+git.7cce647.dirty', 'torch-version': '1.11.0', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'add-LG-decoding-method-for-pruned-rnnt2', 'icefall-git-sha1': 'ffca1ae-dirty', 'icefall-git-date': 'Fri Jul 15 10:32:54 2022', 'icefall-path': '/ceph-meixu/luomingshuang/icefall', 'k2-path': '/ceph-ms/luomingshuang/k2_latest/k2/python/k2/__init__.py', 'lhotse-path': '/ceph-meixu/luomingshuang/anaconda3/envs/k2-python/lib/python3.8/site-packages/lhotse-1.5.0.dev0+git.7cce647.dirty-py3.8.egg/lhotse/__init__.py', 'hostname': 'de-74279-k2-train-7-0616225511-78bf4545d8-tv52r', 'IP address': '10.177.77.9'}, 'epoch': 10, 'batch': None, 'avg': 2, 'avg_last_n': 0, 'exp_dir': PosixPath('pruned_transducer_stateless2/exp'), 'lang_dir': 'data/lang_char', 'decoding_method': 'fast_beam_search_nbest_LG', 'beam_size': 4, 'beam': 20.0, 'ngram_lm_scale': 0.01, 'max_contexts': 8, 'max_states': 64, 'context_size': 2, 'max_sym_per_frame': 1, 'num_paths': 200, 'nbest_scale': 0.5, 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 600, 'bucketing_sampler': True, 'num_buckets': 300, 'concatenate_cuts': False, 'duration_factor': 1.0, 'gap': 1.0, 'on_the_fly_feats': False, 'shuffle': True, 'return_cuts': True, 'num_workers': 2, 'enable_spec_aug': True, 'spec_aug_time_warp_factor': 80, 'enable_musan': True, 'training_subset': 'L', 'res_dir': PosixPath('pruned_transducer_stateless2/exp/fast_beam_search_nbest_LG'), 'suffix': 'epoch-10-avg-2-beam-20.0-max-contexts-8-max-states-64', 'blank_id': 0, 'vocab_size': 5537}
-2022-07-18 19:45:38,759 INFO [decode.py:619] About to create model
-2022-07-18 19:45:39,389 INFO [decode.py:640] averaging ['pruned_transducer_stateless2/exp/epoch-9.pt', 'pruned_transducer_stateless2/exp/epoch-10.pt']
-2022-07-18 19:45:46,048 INFO [decode.py:651] Loading data/lang_char/LG.pt
-2022-07-18 19:45:50,501 INFO [decode.py:664] Number of model parameters: 88978927
-2022-07-18 19:45:50,506 INFO [asr_datamodule.py:347] About to create dev dataset
-2022-07-18 19:45:55,000 INFO [asr_datamodule.py:368] About to create dev dataloader
-2022-07-18 19:46:15,764 INFO [decode.py:517] batch 0/?, cuts processed until now is 79
-2022-07-18 19:46:27,186 INFO [decode.py:517] batch 2/?, cuts processed until now is 236
-2022-07-18 19:46:35,804 INFO [decode.py:517] batch 4/?, cuts processed until now is 512
-2022-07-18 19:46:43,453 INFO [decode.py:517] batch 6/?, cuts processed until now is 804
-2022-07-18 19:46:55,031 INFO [decode.py:517] batch 8/?, cuts processed until now is 966
-2022-07-18 19:47:06,559 INFO [decode.py:517] batch 10/?, cuts processed until now is 1105
-2022-07-18 19:47:18,645 INFO [decode.py:517] batch 12/?, cuts processed until now is 1255
-2022-07-18 19:47:29,604 INFO [decode.py:517] batch 14/?, cuts processed until now is 1428
-2022-07-18 19:47:40,832 INFO [decode.py:517] batch 16/?, cuts processed until now is 1595
-2022-07-18 19:47:51,281 INFO [decode.py:517] batch 18/?, cuts processed until now is 1753
-2022-07-18 19:48:02,993 INFO [decode.py:517] batch 20/?, cuts processed until now is 1899
-2022-07-18 19:48:14,102 INFO [decode.py:517] batch 22/?, cuts processed until now is 2067
-2022-07-18 19:48:24,465 INFO [decode.py:517] batch 24/?, cuts processed until now is 2242
-2022-07-18 19:48:35,008 INFO [decode.py:517] batch 26/?, cuts processed until now is 2435
-2022-07-18 19:48:44,018 INFO [decode.py:517] batch 28/?, cuts processed until now is 2656
-2022-07-18 19:48:53,963 INFO [decode.py:517] batch 30/?, cuts processed until now is 2877
-2022-07-18 19:49:01,188 INFO [decode.py:517] batch 32/?, cuts processed until now is 3156
-2022-07-18 19:49:12,138 INFO [decode.py:517] batch 34/?, cuts processed until now is 3369
-2022-07-18 19:49:24,040 INFO [decode.py:517] batch 36/?, cuts processed until now is 3524
-2022-07-18 19:49:35,820 INFO [decode.py:517] batch 38/?, cuts processed until now is 3686
-2022-07-18 19:49:49,690 INFO [decode.py:517] batch 40/?, cuts processed until now is 3813
-2022-07-18 19:50:02,125 INFO [decode.py:517] batch 42/?, cuts processed until now is 3999
-2022-07-18 19:50:13,450 INFO [decode.py:517] batch 44/?, cuts processed until now is 4220
-2022-07-18 19:50:24,870 INFO [decode.py:517] batch 46/?, cuts processed until now is 4468
-2022-07-18 19:50:33,572 INFO [decode.py:517] batch 48/?, cuts processed until now is 4774
-2022-07-18 19:50:44,881 INFO [decode.py:517] batch 50/?, cuts processed until now is 5013
-2022-07-18 19:50:57,582 INFO [decode.py:517] batch 52/?, cuts processed until now is 5171
-2022-07-18 19:51:11,062 INFO [decode.py:517] batch 54/?, cuts processed until now is 5311
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-2022-07-18 19:51:33,969 INFO [decode.py:517] batch 58/?, cuts processed until now is 5770
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-2022-07-18 19:51:59,867 INFO [decode.py:517] batch 62/?, cuts processed until now is 6100
-2022-07-18 19:52:12,582 INFO [decode.py:517] batch 64/?, cuts processed until now is 6246
-2022-07-18 19:52:25,075 INFO [decode.py:517] batch 66/?, cuts processed until now is 6414
-2022-07-18 19:52:37,092 INFO [decode.py:517] batch 68/?, cuts processed until now is 6589
-2022-07-18 19:52:50,492 INFO [decode.py:517] batch 70/?, cuts processed until now is 6728
-2022-07-18 19:53:03,554 INFO [decode.py:517] batch 72/?, cuts processed until now is 6872
-2022-07-18 19:53:17,052 INFO [decode.py:517] batch 74/?, cuts processed until now is 7011
-2022-07-18 19:53:29,508 INFO [decode.py:517] batch 76/?, cuts processed until now is 7173
-2022-07-18 19:53:39,286 INFO [decode.py:517] batch 78/?, cuts processed until now is 7465
-2022-07-18 19:53:47,557 INFO [decode.py:517] batch 80/?, cuts processed until now is 7859
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-2022-07-18 19:54:06,974 INFO [decode.py:517] batch 84/?, cuts processed until now is 8434
-2022-07-18 19:54:19,888 INFO [decode.py:517] batch 86/?, cuts processed until now is 8584
-2022-07-18 19:54:33,163 INFO [decode.py:517] batch 88/?, cuts processed until now is 8722
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-2022-07-18 19:54:59,871 INFO [decode.py:517] batch 92/?, cuts processed until now is 8980
-2022-07-18 19:55:08,180 INFO [decode.py:517] batch 94/?, cuts processed until now is 9255
-2022-07-18 19:55:17,036 INFO [decode.py:517] batch 96/?, cuts processed until now is 9538
-2022-07-18 19:55:28,766 INFO [decode.py:517] batch 98/?, cuts processed until now is 9732
-2022-07-18 19:55:38,895 INFO [decode.py:517] batch 100/?, cuts processed until now is 9966
-2022-07-18 19:55:48,738 INFO [decode.py:517] batch 102/?, cuts processed until now is 10246
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-2022-07-18 19:56:08,040 INFO [decode.py:517] batch 106/?, cuts processed until now is 10812
-2022-07-18 19:56:15,832 INFO [decode.py:517] batch 108/?, cuts processed until now is 11135
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-2022-07-18 19:56:33,141 INFO [decode.py:517] batch 112/?, cuts processed until now is 11710
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-2022-07-18 19:57:25,544 INFO [decode.py:517] batch 126/?, cuts processed until now is 12896
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-2022-07-18 19:57:40,980 INFO [decode.py:517] batch 132/?, cuts processed until now is 13367
-2022-07-18 19:57:45,235 INFO [decode.py:517] batch 134/?, cuts processed until now is 13433
-2022-07-18 19:57:52,616 INFO [decode.py:517] batch 136/?, cuts processed until now is 13522
-2022-07-18 19:57:58,775 INFO [decode.py:517] batch 138/?, cuts processed until now is 13721
-2022-07-18 19:58:02,127 INFO [decode.py:517] batch 140/?, cuts processed until now is 13811
-2022-07-18 19:58:03,550 INFO [decode.py:534] The transcripts are stored in pruned_transducer_stateless2/exp/fast_beam_search_nbest_LG/recogs-DEV-beam_size_4-epoch-10-avg-2-beam-20.0-max-contexts-8-max-states-64.txt
-2022-07-18 19:58:04,225 INFO [utils.py:410] [DEV-beam_size_4] %WER 14.94% [49377 / 330498, 25623 ins, 7810 del, 15944 sub ]
-2022-07-18 19:58:05,761 INFO [decode.py:547] Wrote detailed error stats to pruned_transducer_stateless2/exp/fast_beam_search_nbest_LG/errs-DEV-beam_size_4-epoch-10-avg-2-beam-20.0-max-contexts-8-max-states-64.txt
-2022-07-18 19:58:05,762 INFO [decode.py:564] 
+2022-07-26 11:26:29,690 INFO [decode.py:602] Decoding started
+2022-07-26 11:26:29,690 INFO [decode.py:608] Device: cuda:0
+2022-07-26 11:26:30,956 INFO [lexicon.py:176] Loading pre-compiled data/lang_char_lg/Linv.pt
+2022-07-26 11:26:31,128 INFO [decode.py:619] {'best_train_loss': inf, 'best_valid_loss': inf, 'best_train_epoch': -1, 'best_valid_epoch': -1, 'batch_idx_train': 10, 'log_interval': 1, 'reset_interval': 200, 'feature_dim': 80, 'subsampling_factor': 4, 'encoder_dim': 512, 'nhead': 8, 'dim_feedforward': 2048, 'num_encoder_layers': 12, 'decoder_dim': 512, 'joiner_dim': 512, 'env_info': {'k2-version': '1.15.1', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': 'f8d2dba06c000ffee36aab5b66f24e7c9809f116', 'k2-git-date': 'Thu Apr 21 12:20:34 2022', 'lhotse-version': '1.5.0.dev+git.7cce647.dirty', 'torch-version': '1.11.0', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'add-LG-decoding-method-for-pruned-rnnt2', 'icefall-git-sha1': '749dfcd-dirty', 'icefall-git-date': 'Mon Jul 18 22:08:42 2022', 'icefall-path': '/ceph-meixu/luomingshuang/icefall', 'k2-path': '/ceph-ms/luomingshuang/k2_latest/k2/python/k2/__init__.py', 'lhotse-path': '/ceph-meixu/luomingshuang/anaconda3/envs/k2-python/lib/python3.8/site-packages/lhotse-1.5.0.dev0+git.7cce647.dirty-py3.8.egg/lhotse/__init__.py', 'hostname': 'de-74279-k2-train-7-0616225511-78bf4545d8-tv52r', 'IP address': '10.177.77.9'}, 'epoch': 10, 'batch': None, 'avg': 2, 'avg_last_n': 0, 'exp_dir': PosixPath('pruned_transducer_stateless2/exp'), 'lang_dir': 'data/lang_char_lg', 'decoding_method': 'fast_beam_search_nbest_LG', 'beam_size': 4, 'beam': 20.0, 'ngram_lm_scale': 0.35, 'max_contexts': 8, 'max_states': 64, 'context_size': 2, 'max_sym_per_frame': 1, 'num_paths': 200, 'nbest_scale': 0.5, 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 600, 'bucketing_sampler': True, 'num_buckets': 300, 'concatenate_cuts': False, 'duration_factor': 1.0, 'gap': 1.0, 'on_the_fly_feats': False, 'shuffle': True, 'return_cuts': True, 'num_workers': 2, 'enable_spec_aug': True, 'spec_aug_time_warp_factor': 80, 'enable_musan': True, 'training_subset': 'L', 'res_dir': PosixPath('pruned_transducer_stateless2/exp/fast_beam_search_nbest_LG'), 'suffix': 'epoch-10-avg-2-beam-20.0-max-contexts-8-max-states-64-ori-ngram-lm-scale-0.35', 'blank_id': 0, 'vocab_size': 5537}
+2022-07-26 11:26:31,129 INFO [decode.py:621] About to create model
+2022-07-26 11:26:31,759 INFO [decode.py:642] averaging ['pruned_transducer_stateless2/exp/epoch-9.pt', 'pruned_transducer_stateless2/exp/epoch-10.pt']
+2022-07-26 11:26:41,293 INFO [decode.py:653] Loading data/lang_char_lg/LG.pt
+2022-07-26 11:26:50,549 INFO [decode.py:666] Number of model parameters: 88978927
+2022-07-26 11:26:50,552 INFO [asr_datamodule.py:347] About to create dev dataset
+2022-07-26 11:26:54,648 INFO [asr_datamodule.py:368] About to create dev dataloader
+2022-07-26 11:27:14,469 INFO [decode.py:517] batch 0/?, cuts processed until now is 79
+2022-07-26 11:27:24,523 INFO [decode.py:517] batch 2/?, cuts processed until now is 236
+2022-07-26 11:27:30,771 INFO [decode.py:517] batch 4/?, cuts processed until now is 512
+2022-07-26 11:27:36,565 INFO [decode.py:517] batch 6/?, cuts processed until now is 804
+2022-07-26 11:27:45,058 INFO [decode.py:517] batch 8/?, cuts processed until now is 966
+2022-07-26 11:27:55,816 INFO [decode.py:517] batch 10/?, cuts processed until now is 1105
+2022-07-26 11:28:07,254 INFO [decode.py:517] batch 12/?, cuts processed until now is 1255
+2022-07-26 11:28:17,217 INFO [decode.py:517] batch 14/?, cuts processed until now is 1428
+2022-07-26 11:28:27,468 INFO [decode.py:517] batch 16/?, cuts processed until now is 1595
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+2022-07-26 11:35:17,190 INFO [decode.py:517] batch 122/?, cuts processed until now is 12810
+2022-07-26 11:35:20,172 INFO [decode.py:517] batch 124/?, cuts processed until now is 12832
+2022-07-26 11:35:25,854 INFO [decode.py:517] batch 126/?, cuts processed until now is 12896
+2022-07-26 11:35:28,509 INFO [decode.py:517] batch 128/?, cuts processed until now is 13199
+2022-07-26 11:35:32,004 INFO [decode.py:517] batch 130/?, cuts processed until now is 13322
+2022-07-26 11:35:35,495 INFO [decode.py:517] batch 132/?, cuts processed until now is 13367
+2022-07-26 11:35:38,554 INFO [decode.py:517] batch 134/?, cuts processed until now is 13433
+2022-07-26 11:35:43,633 INFO [decode.py:517] batch 136/?, cuts processed until now is 13522
+2022-07-26 11:35:46,643 INFO [decode.py:517] batch 138/?, cuts processed until now is 13721
+2022-07-26 11:35:49,097 INFO [decode.py:517] batch 140/?, cuts processed until now is 13811
+2022-07-26 11:35:50,148 INFO [decode.py:534] The transcripts are stored in pruned_transducer_stateless2/exp/fast_beam_search_nbest_LG/recogs-DEV-beam_size_4-epoch-10-avg-2-beam-20.0-max-contexts-8-max-states-64-ori-ngram-lm-scale-0.35.txt
+2022-07-26 11:35:50,610 INFO [utils.py:410] [DEV-beam_size_4] %WER 8.83% [29176 / 330498, 3406 ins, 13970 del, 11800 sub ]
+2022-07-26 11:35:51,804 INFO [decode.py:547] Wrote detailed error stats to pruned_transducer_stateless2/exp/fast_beam_search_nbest_LG/errs-DEV-beam_size_4-epoch-10-avg-2-beam-20.0-max-contexts-8-max-states-64-ori-ngram-lm-scale-0.35.txt
+2022-07-26 11:35:51,804 INFO [decode.py:564] 
 For DEV, WER of different settings are:
-beam_size_4	14.94	best for DEV
+beam_size_4	8.83	best for DEV
 
-2022-07-18 19:58:18,957 INFO [decode.py:517] batch 0/?, cuts processed until now is 87
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-2022-07-18 20:11:48,370 INFO [decode.py:534] The transcripts are stored in pruned_transducer_stateless2/exp/fast_beam_search_nbest_LG/recogs-TEST_NET-beam_size_4-epoch-10-avg-2-beam-20.0-max-contexts-8-max-states-64.txt
-2022-07-18 20:11:49,134 INFO [utils.py:410] [TEST_NET-beam_size_4] %WER 16.14% [67111 / 415747, 32552 ins, 7765 del, 26794 sub ]
-2022-07-18 20:11:51,534 INFO [decode.py:547] Wrote detailed error stats to pruned_transducer_stateless2/exp/fast_beam_search_nbest_LG/errs-TEST_NET-beam_size_4-epoch-10-avg-2-beam-20.0-max-contexts-8-max-states-64.txt
-2022-07-18 20:11:51,535 INFO [decode.py:564] 
+2022-07-26 11:36:01,658 INFO [decode.py:517] batch 0/?, cuts processed until now is 87
+2022-07-26 11:36:10,605 INFO [decode.py:517] batch 2/?, cuts processed until now is 261
+2022-07-26 11:36:16,080 INFO [decode.py:517] batch 4/?, cuts processed until now is 732
+2022-07-26 11:36:19,792 INFO [decode.py:517] batch 6/?, cuts processed until now is 1232
+2022-07-26 11:36:27,721 INFO [decode.py:517] batch 8/?, cuts processed until now is 1416
+2022-07-26 11:36:37,348 INFO [decode.py:517] batch 10/?, cuts processed until now is 1562
+2022-07-26 11:36:46,578 INFO [decode.py:517] batch 12/?, cuts processed until now is 1728
+2022-07-26 11:36:54,242 INFO [decode.py:517] batch 14/?, cuts processed until now is 1931
+2022-07-26 11:37:03,057 INFO [decode.py:517] batch 16/?, cuts processed until now is 2125
+2022-07-26 11:37:11,275 INFO [decode.py:517] batch 18/?, cuts processed until now is 2301
+2022-07-26 11:37:20,264 INFO [decode.py:517] batch 20/?, cuts processed until now is 2424
+2022-07-26 11:37:27,856 INFO [decode.py:517] batch 22/?, cuts processed until now is 2602
+2022-07-26 11:37:34,717 INFO [decode.py:517] batch 24/?, cuts processed until now is 2817
+2022-07-26 11:37:41,553 INFO [decode.py:517] batch 26/?, cuts processed until now is 3081
+2022-07-26 11:37:46,451 INFO [decode.py:517] batch 28/?, cuts processed until now is 3394
+2022-07-26 11:37:51,818 INFO [decode.py:517] batch 30/?, cuts processed until now is 3707
+2022-07-26 11:37:55,270 INFO [decode.py:517] batch 32/?, cuts processed until now is 4171
+2022-07-26 11:38:01,319 INFO [decode.py:517] batch 34/?, cuts processed until now is 4467
+2022-07-26 11:38:09,793 INFO [decode.py:517] batch 36/?, cuts processed until now is 4610
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+2022-07-26 11:43:01,954 INFO [decode.py:517] batch 128/?, cuts processed until now is 18472
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+2022-07-26 11:44:02,588 INFO [decode.py:517] batch 150/?, cuts processed until now is 22507
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+2022-07-26 11:44:22,100 INFO [decode.py:517] batch 158/?, cuts processed until now is 23444
+2022-07-26 11:44:24,889 INFO [decode.py:517] batch 160/?, cuts processed until now is 23681
+2022-07-26 11:44:28,366 INFO [decode.py:517] batch 162/?, cuts processed until now is 24114
+2022-07-26 11:44:32,620 INFO [decode.py:517] batch 164/?, cuts processed until now is 24259
+2022-07-26 11:44:36,357 INFO [decode.py:517] batch 166/?, cuts processed until now is 24387
+2022-07-26 11:44:40,263 INFO [decode.py:517] batch 168/?, cuts processed until now is 24477
+2022-07-26 11:44:43,418 INFO [decode.py:517] batch 170/?, cuts processed until now is 24659
+2022-07-26 11:44:46,227 INFO [decode.py:517] batch 172/?, cuts processed until now is 24698
+2022-07-26 11:44:53,359 INFO [decode.py:517] batch 174/?, cuts processed until now is 24763
+2022-07-26 11:44:56,950 INFO [decode.py:534] The transcripts are stored in pruned_transducer_stateless2/exp/fast_beam_search_nbest_LG/recogs-TEST_NET-beam_size_4-epoch-10-avg-2-beam-20.0-max-contexts-8-max-states-64-ori-ngram-lm-scale-0.35.txt
+2022-07-26 11:44:57,579 INFO [utils.py:410] [TEST_NET-beam_size_4] %WER 9.88% [41083 / 415747, 5532 ins, 12298 del, 23253 sub ]
+2022-07-26 11:44:59,142 INFO [decode.py:547] Wrote detailed error stats to pruned_transducer_stateless2/exp/fast_beam_search_nbest_LG/errs-TEST_NET-beam_size_4-epoch-10-avg-2-beam-20.0-max-contexts-8-max-states-64-ori-ngram-lm-scale-0.35.txt
+2022-07-26 11:44:59,142 INFO [decode.py:564] 
 For TEST_NET, WER of different settings are:
-beam_size_4	16.14	best for TEST_NET
+beam_size_4	9.88	best for TEST_NET
 
-2022-07-18 20:12:04,017 INFO [decode.py:517] batch 0/?, cuts processed until now is 56
-2022-07-18 20:12:19,242 INFO [decode.py:517] batch 2/?, cuts processed until now is 168
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-2022-07-18 20:23:27,712 INFO [decode.py:517] batch 114/?, cuts processed until now is 8370
-2022-07-18 20:23:28,275 INFO [decode.py:534] The transcripts are stored in pruned_transducer_stateless2/exp/fast_beam_search_nbest_LG/recogs-TEST_MEETING-beam_size_4-epoch-10-avg-2-beam-20.0-max-contexts-8-max-states-64.txt
-2022-07-18 20:23:28,625 INFO [utils.py:410] [TEST_MEETING-beam_size_4] %WER 22.93% [50533 / 220385, 24125 ins, 8997 del, 17411 sub ]
-2022-07-18 20:23:29,685 INFO [decode.py:547] Wrote detailed error stats to pruned_transducer_stateless2/exp/fast_beam_search_nbest_LG/errs-TEST_MEETING-beam_size_4-epoch-10-avg-2-beam-20.0-max-contexts-8-max-states-64.txt
-2022-07-18 20:23:29,686 INFO [decode.py:564] 
+2022-07-26 11:45:08,560 INFO [decode.py:517] batch 0/?, cuts processed until now is 56
+2022-07-26 11:45:20,685 INFO [decode.py:517] batch 2/?, cuts processed until now is 168
+2022-07-26 11:45:28,290 INFO [decode.py:517] batch 4/?, cuts processed until now is 388
+2022-07-26 11:45:36,028 INFO [decode.py:517] batch 6/?, cuts processed until now is 624
+2022-07-26 11:45:47,157 INFO [decode.py:517] batch 8/?, cuts processed until now is 740
+2022-07-26 11:45:58,550 INFO [decode.py:517] batch 10/?, cuts processed until now is 833
+2022-07-26 11:46:10,879 INFO [decode.py:517] batch 12/?, cuts processed until now is 938
+2022-07-26 11:46:22,616 INFO [decode.py:517] batch 14/?, cuts processed until now is 1067
+2022-07-26 11:46:33,912 INFO [decode.py:517] batch 16/?, cuts processed until now is 1190
+2022-07-26 11:46:45,118 INFO [decode.py:517] batch 18/?, cuts processed until now is 1303
+2022-07-26 11:46:57,477 INFO [decode.py:517] batch 20/?, cuts processed until now is 1396
+2022-07-26 11:47:09,753 INFO [decode.py:517] batch 22/?, cuts processed until now is 1517
+2022-07-26 11:47:19,256 INFO [decode.py:517] batch 24/?, cuts processed until now is 1645
+2022-07-26 11:47:28,697 INFO [decode.py:517] batch 26/?, cuts processed until now is 1788
+2022-07-26 11:47:37,138 INFO [decode.py:517] batch 28/?, cuts processed until now is 1962
+2022-07-26 11:47:46,856 INFO [decode.py:517] batch 30/?, cuts processed until now is 2135
+2022-07-26 11:47:55,037 INFO [decode.py:517] batch 32/?, cuts processed until now is 2358
+2022-07-26 11:48:04,056 INFO [decode.py:517] batch 34/?, cuts processed until now is 2509
+2022-07-26 11:48:16,275 INFO [decode.py:517] batch 36/?, cuts processed until now is 2619
+2022-07-26 11:48:27,428 INFO [decode.py:517] batch 38/?, cuts processed until now is 2724
+2022-07-26 11:48:37,811 INFO [decode.py:517] batch 40/?, cuts processed until now is 2861
+2022-07-26 11:48:47,561 INFO [decode.py:517] batch 42/?, cuts processed until now is 3025
+2022-07-26 11:48:57,370 INFO [decode.py:517] batch 44/?, cuts processed until now is 3212
+2022-07-26 11:49:03,736 INFO [decode.py:517] batch 46/?, cuts processed until now is 3459
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+2022-07-26 11:49:26,767 INFO [decode.py:517] batch 50/?, cuts processed until now is 3726
+2022-07-26 11:49:36,645 INFO [decode.py:517] batch 52/?, cuts processed until now is 3892
+2022-07-26 11:49:49,581 INFO [decode.py:517] batch 54/?, cuts processed until now is 3972
+2022-07-26 11:49:59,636 INFO [decode.py:517] batch 56/?, cuts processed until now is 4138
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+2022-07-26 11:50:23,948 INFO [decode.py:517] batch 60/?, cuts processed until now is 4343
+2022-07-26 11:50:35,581 INFO [decode.py:517] batch 62/?, cuts processed until now is 4435
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+2022-07-26 11:51:21,505 INFO [decode.py:517] batch 70/?, cuts processed until now is 4924
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+2022-07-26 11:51:56,723 INFO [decode.py:517] batch 80/?, cuts processed until now is 6144
+2022-07-26 11:52:03,384 INFO [decode.py:517] batch 82/?, cuts processed until now is 6364
+2022-07-26 11:52:13,748 INFO [decode.py:517] batch 84/?, cuts processed until now is 6534
+2022-07-26 11:52:22,486 INFO [decode.py:517] batch 86/?, cuts processed until now is 6719
+2022-07-26 11:52:26,342 INFO [decode.py:517] batch 88/?, cuts processed until now is 7047
+2022-07-26 11:52:35,292 INFO [decode.py:517] batch 90/?, cuts processed until now is 7232
+2022-07-26 11:52:39,091 INFO [decode.py:517] batch 92/?, cuts processed until now is 7416
+2022-07-26 11:52:42,998 INFO [decode.py:517] batch 94/?, cuts processed until now is 7504
+2022-07-26 11:52:47,801 INFO [decode.py:517] batch 96/?, cuts processed until now is 7545
+2022-07-26 11:52:54,546 INFO [decode.py:517] batch 98/?, cuts processed until now is 7695
+2022-07-26 11:53:01,271 INFO [decode.py:517] batch 100/?, cuts processed until now is 7928
+2022-07-26 11:53:04,524 INFO [decode.py:517] batch 102/?, cuts processed until now is 7977
+2022-07-26 11:53:08,065 INFO [decode.py:517] batch 104/?, cuts processed until now is 8001
+2022-07-26 11:53:13,157 INFO [decode.py:517] batch 106/?, cuts processed until now is 8111
+2022-07-26 11:53:15,994 INFO [decode.py:517] batch 108/?, cuts processed until now is 8155
+2022-07-26 11:53:26,063 INFO [decode.py:517] batch 110/?, cuts processed until now is 8245
+2022-07-26 11:53:30,904 INFO [decode.py:517] batch 112/?, cuts processed until now is 8287
+2022-07-26 11:53:34,949 INFO [decode.py:517] batch 114/?, cuts processed until now is 8370
+2022-07-26 11:53:35,350 INFO [decode.py:534] The transcripts are stored in pruned_transducer_stateless2/exp/fast_beam_search_nbest_LG/recogs-TEST_MEETING-beam_size_4-epoch-10-avg-2-beam-20.0-max-contexts-8-max-states-64-ori-ngram-lm-scale-0.35.txt
+2022-07-26 11:53:35,666 INFO [utils.py:410] [TEST_MEETING-beam_size_4] %WER 15.47% [34085 / 220385, 3626 ins, 17890 del, 12569 sub ]
+2022-07-26 11:53:36,487 INFO [decode.py:547] Wrote detailed error stats to pruned_transducer_stateless2/exp/fast_beam_search_nbest_LG/errs-TEST_MEETING-beam_size_4-epoch-10-avg-2-beam-20.0-max-contexts-8-max-states-64-ori-ngram-lm-scale-0.35.txt
+2022-07-26 11:53:36,488 INFO [decode.py:564] 
 For TEST_MEETING, WER of different settings are:
-beam_size_4	22.93	best for TEST_MEETING
+beam_size_4	15.47	best for TEST_MEETING
 
-2022-07-18 20:23:29,686 INFO [decode.py:764] Done!
+2022-07-26 11:53:36,488 INFO [decode.py:766] Done!

log/fast_beam_search_nbest_LG/{wer-summary-DEV-beam_size_4-epoch-10-avg-2-beam-20.0-max-contexts-8-max-states-64.txt → wer-summary-DEV-beam_size_4-epoch-10-avg-2-beam-20.0-max-contexts-8-max-states-64-ngram-lm-scale-0.35.txt}

@@ -1,2 +1,2 @@
 settings	WER
-beam_size_4	14.94
+beam_size_4	8.83

log/fast_beam_search_nbest_LG/{wer-summary-TEST_MEETING-beam_size_4-epoch-10-avg-2-beam-20.0-max-contexts-8-max-states-64.txt → wer-summary-TEST_MEETING-beam_size_4-epoch-10-avg-2-beam-20.0-max-contexts-8-max-states-64-ngram-lm-scale-0.35.txt}

@@ -1,2 +1,2 @@
 settings	WER
-beam_size_4	22.93
+beam_size_4	15.47

log/fast_beam_search_nbest_LG/{wer-summary-TEST_NET-beam_size_4-epoch-10-avg-2-beam-20.0-max-contexts-8-max-states-64.txt → wer-summary-TEST_NET-beam_size_4-epoch-10-avg-2-beam-20.0-max-contexts-8-max-states-64-ngram-lm-scale-0.35.txt}

@@ -1,2 +1,2 @@
 settings	WER
-beam_size_4	16.14
+beam_size_4	9.88