add M and S training models

exp_trained_with_M/pretrained_epoch_29_avg_11.pt

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+size 356122855

exp_trained_with_S/pretrained_epoch_29_avg_24.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:51fb60266b886c84481bb34fd87ceab044e5de00e23b291b7c3e7f70562adc77
+size 356122855

log_trained_with_M/fast_beam_search/log-decode-epoch-29-avg-11-beam-4.0-max-contexts-4-max-states-8-2022-05-05-11-46-33

@@ -0,0 +1,9 @@
+2022-05-05 11:46:33,440 INFO [decode.py:487] Decoding started
+2022-05-05 11:46:33,440 INFO [decode.py:493] Device: cuda:0
+2022-05-05 11:46:34,471 INFO [lexicon.py:176] Loading pre-compiled data/lang_char/Linv.pt
+2022-05-05 11:46:34,564 INFO [decode.py:499] {'best_train_loss': inf, 'best_valid_loss': inf, 'best_train_epoch': -1, 'best_valid_epoch': -1, 'batch_idx_train': 0, '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': '1.14', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': '4fb6b88661cca73e5f66f03df16e5a1d0c4886f8', 'k2-git-date': 'Fri Apr 8 18:29:32 2022', 'lhotse-version': '1.2.0.dev+git.cda63b5.clean', 'torch-version': '1.11.0', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'wenetspeech-pruned-transducer-stateless2', 'icefall-git-sha1': '4b567e4-dirty', 'icefall-git-date': 'Wed Apr 27 13:43:54 2022', 'icefall-path': '/ceph-meixu/luomingshuang/icefall', 'k2-path': '/ceph-ms/luomingshuang/k2/k2/python/k2/__init__.py', 'lhotse-path': '/ceph-meixu/luomingshuang/anaconda3/envs/k2-python/lib/python3.8/site-packages/lhotse-1.2.0.dev0+git.cda63b5.clean-py3.8.egg/lhotse/__init__.py', 'hostname': 'de-74279-k2-train-1-0307195509-54c966b95f-rtpfq', 'IP address': '10.177.22.9'}, 'epoch': 29, 'batch': None, 'avg': 11, 'avg_last_n': 0, 'exp_dir': PosixPath('pruned_transducer_stateless2/exp-char-M-8-gpus'), 'lang_dir': 'data/lang_char', 'token_type': 'char', 'decoding_method': 'fast_beam_search', 'beam_size': 4, 'beam': 4.0, 'max_contexts': 4, 'max_states': 8, 'context_size': 2, 'max_sym_per_frame': 1, 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 1500, '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, 'lazy_load': True, 'training_subset': 'L', 'res_dir': PosixPath('pruned_transducer_stateless2/exp-char-M-8-gpus/fast_beam_search'), 'suffix': 'epoch-29-avg-11-beam-4.0-max-contexts-4-max-states-8', 'blank_id': 0, 'vocab_size': 5537}
+2022-05-05 11:46:34,564 INFO [decode.py:501] About to create model
+2022-05-05 11:46:35,083 INFO [decode.py:522] averaging ['pruned_transducer_stateless2/exp-char-M-8-gpus/epoch-19.pt', 'pruned_transducer_stateless2/exp-char-M-8-gpus/epoch-20.pt', 'pruned_transducer_stateless2/exp-char-M-8-gpus/epoch-21.pt', 'pruned_transducer_stateless2/exp-char-M-8-gpus/epoch-22.pt', 'pruned_transducer_stateless2/exp-char-M-8-gpus/epoch-23.pt', 'pruned_transducer_stateless2/exp-char-M-8-gpus/epoch-24.pt', 'pruned_transducer_stateless2/exp-char-M-8-gpus/epoch-25.pt', 'pruned_transducer_stateless2/exp-char-M-8-gpus/epoch-26.pt', 'pruned_transducer_stateless2/exp-char-M-8-gpus/epoch-27.pt', 'pruned_transducer_stateless2/exp-char-M-8-gpus/epoch-28.pt', 'pruned_transducer_stateless2/exp-char-M-8-gpus/epoch-29.pt']
+2022-05-05 11:47:43,508 INFO [decode.py:536] Number of model parameters: 88978927
+2022-05-05 11:47:43,513 INFO [asr_datamodule.py:359] About to create dev dataset
+2022-05-05 11:47:57,363 INFO [asr_datamodule.py:380] About to create dev dataloader

log_trained_with_M/fast_beam_search/log-decode-epoch-29-avg-11-beam-4.0-max-contexts-4-max-states-8-2022-05-05-11-50-25

@@ -0,0 +1,113 @@
+2022-05-05 11:50:25,779 INFO [decode.py:487] Decoding started
+2022-05-05 11:50:25,779 INFO [decode.py:493] Device: cuda:0
+2022-05-05 11:50:26,790 INFO [lexicon.py:176] Loading pre-compiled data/lang_char/Linv.pt
+2022-05-05 11:50:26,872 INFO [decode.py:499] {'best_train_loss': inf, 'best_valid_loss': inf, 'best_train_epoch': -1, 'best_valid_epoch': -1, 'batch_idx_train': 0, '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': '1.14', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': '4fb6b88661cca73e5f66f03df16e5a1d0c4886f8', 'k2-git-date': 'Fri Apr 8 18:29:32 2022', 'lhotse-version': '1.2.0.dev+git.cda63b5.clean', 'torch-version': '1.11.0', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'wenetspeech-pruned-transducer-stateless2', 'icefall-git-sha1': '4b567e4-dirty', 'icefall-git-date': 'Wed Apr 27 13:43:54 2022', 'icefall-path': '/ceph-meixu/luomingshuang/icefall', 'k2-path': '/ceph-ms/luomingshuang/k2/k2/python/k2/__init__.py', 'lhotse-path': '/ceph-meixu/luomingshuang/anaconda3/envs/k2-python/lib/python3.8/site-packages/lhotse-1.2.0.dev0+git.cda63b5.clean-py3.8.egg/lhotse/__init__.py', 'hostname': 'de-74279-k2-train-1-0307195509-54c966b95f-rtpfq', 'IP address': '10.177.22.9'}, 'epoch': 29, 'batch': None, 'avg': 11, 'avg_last_n': 0, 'exp_dir': PosixPath('pruned_transducer_stateless2/exp-char-M-8-gpus'), 'lang_dir': 'data/lang_char', 'token_type': 'char', 'decoding_method': 'fast_beam_search', 'beam_size': 4, 'beam': 4.0, 'max_contexts': 4, 'max_states': 8, 'context_size': 2, 'max_sym_per_frame': 1, 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 1500, '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, 'lazy_load': True, 'training_subset': 'L', 'res_dir': PosixPath('pruned_transducer_stateless2/exp-char-M-8-gpus/fast_beam_search'), 'suffix': 'epoch-29-avg-11-beam-4.0-max-contexts-4-max-states-8', 'blank_id': 0, 'vocab_size': 5537}
+2022-05-05 11:50:26,873 INFO [decode.py:501] About to create model
+2022-05-05 11:50:27,387 INFO [decode.py:522] averaging ['pruned_transducer_stateless2/exp-char-M-8-gpus/epoch-19.pt', 'pruned_transducer_stateless2/exp-char-M-8-gpus/epoch-20.pt', 'pruned_transducer_stateless2/exp-char-M-8-gpus/epoch-21.pt', 'pruned_transducer_stateless2/exp-char-M-8-gpus/epoch-22.pt', 'pruned_transducer_stateless2/exp-char-M-8-gpus/epoch-23.pt', 'pruned_transducer_stateless2/exp-char-M-8-gpus/epoch-24.pt', 'pruned_transducer_stateless2/exp-char-M-8-gpus/epoch-25.pt', 'pruned_transducer_stateless2/exp-char-M-8-gpus/epoch-26.pt', 'pruned_transducer_stateless2/exp-char-M-8-gpus/epoch-27.pt', 'pruned_transducer_stateless2/exp-char-M-8-gpus/epoch-28.pt', 'pruned_transducer_stateless2/exp-char-M-8-gpus/epoch-29.pt']
+2022-05-05 11:50:41,092 INFO [decode.py:536] Number of model parameters: 88978927
+2022-05-05 11:50:41,094 INFO [asr_datamodule.py:359] About to create dev dataset
+2022-05-05 11:50:44,404 INFO [asr_datamodule.py:380] About to create dev dataloader
+2022-05-05 11:50:56,882 INFO [decode.py:407] batch 0/?, cuts processed until now is 208
+2022-05-05 11:51:00,984 INFO [decode.py:407] batch 2/?, cuts processed until now is 624
+2022-05-05 11:51:05,071 INFO [decode.py:407] batch 4/?, cuts processed until now is 1446
+2022-05-05 11:51:09,076 INFO [decode.py:407] batch 6/?, cuts processed until now is 2316
+2022-05-05 11:51:13,260 INFO [decode.py:407] batch 8/?, cuts processed until now is 2734
+2022-05-05 11:51:17,583 INFO [decode.py:407] batch 10/?, cuts processed until now is 3071
+2022-05-05 11:51:21,816 INFO [decode.py:407] batch 12/?, cuts processed until now is 3438
+2022-05-05 11:51:25,886 INFO [decode.py:407] batch 14/?, cuts processed until now is 3886
+2022-05-05 11:51:30,086 INFO [decode.py:407] batch 16/?, cuts processed until now is 4303
+2022-05-05 11:51:34,194 INFO [decode.py:407] batch 18/?, cuts processed until now is 4814
+2022-05-05 11:51:38,117 INFO [decode.py:407] batch 20/?, cuts processed until now is 5393
+2022-05-05 11:51:42,000 INFO [decode.py:407] batch 22/?, cuts processed until now is 6059
+2022-05-05 11:51:45,926 INFO [decode.py:407] batch 24/?, cuts processed until now is 6726
+2022-05-05 11:51:49,866 INFO [decode.py:407] batch 26/?, cuts processed until now is 7397
+2022-05-05 11:51:53,822 INFO [decode.py:407] batch 28/?, cuts processed until now is 8132
+2022-05-05 11:51:57,725 INFO [decode.py:407] batch 30/?, cuts processed until now is 8780
+2022-05-05 11:52:01,738 INFO [decode.py:407] batch 32/?, cuts processed until now is 9743
+2022-05-05 11:52:05,922 INFO [decode.py:407] batch 34/?, cuts processed until now is 10528
+2022-05-05 11:52:10,080 INFO [decode.py:407] batch 36/?, cuts processed until now is 10895
+2022-05-05 11:52:13,928 INFO [decode.py:407] batch 38/?, cuts processed until now is 11382
+2022-05-05 11:52:16,788 INFO [decode.py:407] batch 40/?, cuts processed until now is 11780
+2022-05-05 11:52:18,671 INFO [decode.py:407] batch 42/?, cuts processed until now is 12052
+2022-05-05 11:52:20,188 INFO [decode.py:407] batch 44/?, cuts processed until now is 12253
+2022-05-05 11:52:22,465 INFO [decode.py:407] batch 46/?, cuts processed until now is 12443
+2022-05-05 11:52:25,440 INFO [decode.py:407] batch 48/?, cuts processed until now is 12645
+2022-05-05 11:52:27,966 INFO [decode.py:407] batch 50/?, cuts processed until now is 12848
+2022-05-05 11:52:30,131 INFO [decode.py:407] batch 52/?, cuts processed until now is 13009
+2022-05-05 11:52:32,746 INFO [decode.py:407] batch 54/?, cuts processed until now is 13222
+2022-05-05 11:52:34,932 INFO [decode.py:407] batch 56/?, cuts processed until now is 13606
+2022-05-05 11:52:36,275 INFO [decode.py:407] batch 58/?, cuts processed until now is 13760
+2022-05-05 11:52:37,264 INFO [decode.py:424] The transcripts are stored in pruned_transducer_stateless2/exp-char-M-8-gpus/fast_beam_search/recogs-DEV-beam_4.0_max_contexts_4_max_states_8-epoch-29-avg-11-beam-4.0-max-contexts-4-max-states-8.txt
+2022-05-05 11:52:37,627 INFO [utils.py:406] [DEV-beam_4.0_max_contexts_4_max_states_8] %WER 10.18% [33654 / 330498, 1580 ins, 15290 del, 16784 sub ]
+2022-05-05 11:52:38,588 INFO [decode.py:437] Wrote detailed error stats to pruned_transducer_stateless2/exp-char-M-8-gpus/fast_beam_search/errs-DEV-beam_4.0_max_contexts_4_max_states_8-epoch-29-avg-11-beam-4.0-max-contexts-4-max-states-8.txt
+2022-05-05 11:52:38,589 INFO [decode.py:454] 
+For DEV, WER of different settings are:
+beam_4.0_max_contexts_4_max_states_8	10.18	best for DEV
+
+2022-05-05 11:52:46,393 INFO [decode.py:407] batch 0/?, cuts processed until now is 234
+2022-05-05 11:52:50,490 INFO [decode.py:407] batch 2/?, cuts processed until now is 703
+2022-05-05 11:52:55,026 INFO [decode.py:407] batch 4/?, cuts processed until now is 2287
+2022-05-05 11:52:59,653 INFO [decode.py:407] batch 6/?, cuts processed until now is 3973
+2022-05-05 11:53:06,842 INFO [decode.py:407] batch 8/?, cuts processed until now is 4441
+2022-05-05 11:53:13,397 INFO [decode.py:407] batch 10/?, cuts processed until now is 4776
+2022-05-05 11:53:17,548 INFO [decode.py:407] batch 12/?, cuts processed until now is 5184
+2022-05-05 11:53:21,617 INFO [decode.py:407] batch 14/?, cuts processed until now is 5736
+2022-05-05 11:53:28,547 INFO [decode.py:407] batch 16/?, cuts processed until now is 6201
+2022-05-05 11:53:37,276 INFO [decode.py:407] batch 18/?, cuts processed until now is 6542
+2022-05-05 11:53:41,356 INFO [decode.py:407] batch 20/?, cuts processed until now is 7028
+2022-05-05 11:53:45,484 INFO [decode.py:407] batch 22/?, cuts processed until now is 8076
+2022-05-05 11:53:49,493 INFO [decode.py:407] batch 24/?, cuts processed until now is 9123
+2022-05-05 11:53:53,492 INFO [decode.py:407] batch 26/?, cuts processed until now is 10161
+2022-05-05 11:53:57,444 INFO [decode.py:407] batch 28/?, cuts processed until now is 11373
+2022-05-05 11:54:01,464 INFO [decode.py:407] batch 30/?, cuts processed until now is 12393
+2022-05-05 11:54:05,936 INFO [decode.py:407] batch 32/?, cuts processed until now is 14318
+2022-05-05 11:54:10,469 INFO [decode.py:407] batch 34/?, cuts processed until now is 15828
+2022-05-05 11:54:18,304 INFO [decode.py:407] batch 36/?, cuts processed until now is 16078
+2022-05-05 11:54:22,376 INFO [decode.py:407] batch 38/?, cuts processed until now is 16925
+2022-05-05 11:54:26,442 INFO [decode.py:407] batch 40/?, cuts processed until now is 17558
+2022-05-05 11:54:30,057 INFO [decode.py:407] batch 42/?, cuts processed until now is 18754
+2022-05-05 11:54:33,180 INFO [decode.py:407] batch 44/?, cuts processed until now is 19525
+2022-05-05 11:54:35,700 INFO [decode.py:407] batch 46/?, cuts processed until now is 20053
+2022-05-05 11:54:38,917 INFO [decode.py:407] batch 48/?, cuts processed until now is 20655
+2022-05-05 11:54:42,385 INFO [decode.py:407] batch 50/?, cuts processed until now is 20968
+2022-05-05 11:54:45,066 INFO [decode.py:407] batch 52/?, cuts processed until now is 22168
+2022-05-05 11:54:48,598 INFO [decode.py:407] batch 54/?, cuts processed until now is 22509
+2022-05-05 11:54:51,814 INFO [decode.py:407] batch 56/?, cuts processed until now is 23730
+2022-05-05 11:54:55,302 INFO [decode.py:407] batch 58/?, cuts processed until now is 23919
+2022-05-05 11:54:58,235 INFO [decode.py:407] batch 60/?, cuts processed until now is 24510
+2022-05-05 11:55:00,523 INFO [decode.py:407] batch 62/?, cuts processed until now is 24774
+2022-05-05 11:55:00,889 INFO [decode.py:424] The transcripts are stored in pruned_transducer_stateless2/exp-char-M-8-gpus/fast_beam_search/recogs-TEST_NET-beam_4.0_max_contexts_4_max_states_8-epoch-29-avg-11-beam-4.0-max-contexts-4-max-states-8.txt
+2022-05-05 11:55:01,443 INFO [utils.py:406] [TEST_NET-beam_4.0_max_contexts_4_max_states_8] %WER 11.10% [46141 / 415747, 2271 ins, 11920 del, 31950 sub ]
+2022-05-05 11:55:02,693 INFO [decode.py:437] Wrote detailed error stats to pruned_transducer_stateless2/exp-char-M-8-gpus/fast_beam_search/errs-TEST_NET-beam_4.0_max_contexts_4_max_states_8-epoch-29-avg-11-beam-4.0-max-contexts-4-max-states-8.txt
+2022-05-05 11:55:02,694 INFO [decode.py:454] 
+For TEST_NET, WER of different settings are:
+beam_4.0_max_contexts_4_max_states_8	11.1	best for TEST_NET
+
+2022-05-05 11:55:07,999 INFO [decode.py:407] batch 0/?, cuts processed until now is 150
+2022-05-05 11:55:12,668 INFO [decode.py:407] batch 2/?, cuts processed until now is 433
+2022-05-05 11:55:17,365 INFO [decode.py:407] batch 4/?, cuts processed until now is 1139
+2022-05-05 11:55:21,655 INFO [decode.py:407] batch 6/?, cuts processed until now is 1932
+2022-05-05 11:55:26,144 INFO [decode.py:407] batch 8/?, cuts processed until now is 2279
+2022-05-05 11:55:30,758 INFO [decode.py:407] batch 10/?, cuts processed until now is 2566
+2022-05-05 11:55:35,992 INFO [decode.py:407] batch 12/?, cuts processed until now is 2839
+2022-05-05 11:55:42,080 INFO [decode.py:407] batch 14/?, cuts processed until now is 3216
+2022-05-05 11:55:46,220 INFO [decode.py:407] batch 16/?, cuts processed until now is 3689
+2022-05-05 11:55:50,382 INFO [decode.py:407] batch 18/?, cuts processed until now is 4240
+2022-05-05 11:55:55,180 INFO [decode.py:407] batch 20/?, cuts processed until now is 4658
+2022-05-05 11:56:00,232 INFO [decode.py:407] batch 22/?, cuts processed until now is 4980
+2022-05-05 11:56:03,575 INFO [decode.py:407] batch 24/?, cuts processed until now is 5386
+2022-05-05 11:56:07,084 INFO [decode.py:407] batch 26/?, cuts processed until now is 5766
+2022-05-05 11:56:10,712 INFO [decode.py:407] batch 28/?, cuts processed until now is 6231
+2022-05-05 11:56:14,155 INFO [decode.py:407] batch 30/?, cuts processed until now is 6929
+2022-05-05 11:56:18,097 INFO [decode.py:407] batch 32/?, cuts processed until now is 7521
+2022-05-05 11:56:22,393 INFO [decode.py:407] batch 34/?, cuts processed until now is 7728
+2022-05-05 11:56:26,820 INFO [decode.py:407] batch 36/?, cuts processed until now is 8007
+2022-05-05 11:56:30,255 INFO [decode.py:407] batch 38/?, cuts processed until now is 8229
+2022-05-05 11:56:32,612 INFO [decode.py:424] The transcripts are stored in pruned_transducer_stateless2/exp-char-M-8-gpus/fast_beam_search/recogs-TEST_MEETING-beam_4.0_max_contexts_4_max_states_8-epoch-29-avg-11-beam-4.0-max-contexts-4-max-states-8.txt
+2022-05-05 11:56:32,855 INFO [utils.py:406] [TEST_MEETING-beam_4.0_max_contexts_4_max_states_8] %WER 19.32% [42572 / 220385, 1400 ins, 24244 del, 16928 sub ]
+2022-05-05 11:56:33,509 INFO [decode.py:437] Wrote detailed error stats to pruned_transducer_stateless2/exp-char-M-8-gpus/fast_beam_search/errs-TEST_MEETING-beam_4.0_max_contexts_4_max_states_8-epoch-29-avg-11-beam-4.0-max-contexts-4-max-states-8.txt
+2022-05-05 11:56:33,510 INFO [decode.py:454] 
+For TEST_MEETING, WER of different settings are:
+beam_4.0_max_contexts_4_max_states_8	19.32	best for TEST_MEETING
+
+2022-05-05 11:56:33,510 INFO [decode.py:630] Done!

log_trained_with_M/fast_beam_search/wer-summary-DEV-beam_4.0_max_contexts_4_max_states_8-epoch-29-avg-11-beam-4.0-max-contexts-4-max-states-8.txt

@@ -0,0 +1,2 @@
+settings	WER
+beam_4.0_max_contexts_4_max_states_8	10.18

log_trained_with_M/fast_beam_search/wer-summary-TEST_MEETING-beam_4.0_max_contexts_4_max_states_8-epoch-29-avg-11-beam-4.0-max-contexts-4-max-states-8.txt

@@ -0,0 +1,2 @@
+settings	WER
+beam_4.0_max_contexts_4_max_states_8	19.32

log_trained_with_M/fast_beam_search/wer-summary-TEST_NET-beam_4.0_max_contexts_4_max_states_8-epoch-29-avg-11-beam-4.0-max-contexts-4-max-states-8.txt

@@ -0,0 +1,2 @@
+settings	WER
+beam_4.0_max_contexts_4_max_states_8	11.1

log_trained_with_M/greedy_search/log-decode-epoch-29-avg-11-context-2-max-sym-per-frame-1-2022-05-29-19-46-56

@@ -0,0 +1,43 @@
+2022-05-29 19:46:56,115 INFO [decode.py:470] Decoding started
+2022-05-29 19:46:56,115 INFO [decode.py:476] Device: cuda:0
+2022-05-29 19:46:57,308 INFO [lexicon.py:176] Loading pre-compiled data/lang_char/Linv.pt
+2022-05-29 19:46:57,582 INFO [decode.py:482] {'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': '1.2.0.dev+git.de75634.dirty', 'torch-version': '1.11.0', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'wenetspeech-pruned-transducer-stateless2', 'icefall-git-sha1': '4b567e4-dirty', 'icefall-git-date': 'Wed Apr 27 13:43:54 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-1.2.0.dev0+git.de75634.dirty-py3.8.egg/lhotse/__init__.py', 'hostname': 'de-74279-k2-train-7-0309102938-68688b4cbd-xhtcg', 'IP address': '10.48.32.137'}, 'epoch': 29, 'batch': None, 'avg': 11, 'avg_last_n': 0, 'exp_dir': PosixPath('pruned_transducer_stateless2/exp-char-M-8-gpus'), 'lang_dir': 'data/lang_char', 'decoding_method': 'greedy_search', 'beam_size': 4, 'beam': 4, 'max_contexts': 4, 'max_states': 8, 'context_size': 2, 'max_sym_per_frame': 1, 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 200.0, '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, 'lazy_load': True, 'training_subset': 'L', 'res_dir': PosixPath('pruned_transducer_stateless2/exp-char-M-8-gpus/greedy_search'), 'suffix': 'epoch-29-avg-11-context-2-max-sym-per-frame-1', 'blank_id': 0, 'vocab_size': 5537}
+2022-05-29 19:46:57,582 INFO [decode.py:484] About to create model
+2022-05-29 19:46:58,107 INFO [decode.py:505] averaging ['pruned_transducer_stateless2/exp-char-M-8-gpus/epoch-19.pt', 'pruned_transducer_stateless2/exp-char-M-8-gpus/epoch-20.pt', 'pruned_transducer_stateless2/exp-char-M-8-gpus/epoch-21.pt', 'pruned_transducer_stateless2/exp-char-M-8-gpus/epoch-22.pt', 'pruned_transducer_stateless2/exp-char-M-8-gpus/epoch-23.pt', 'pruned_transducer_stateless2/exp-char-M-8-gpus/epoch-24.pt', 'pruned_transducer_stateless2/exp-char-M-8-gpus/epoch-25.pt', 'pruned_transducer_stateless2/exp-char-M-8-gpus/epoch-26.pt', 'pruned_transducer_stateless2/exp-char-M-8-gpus/epoch-27.pt', 'pruned_transducer_stateless2/exp-char-M-8-gpus/epoch-28.pt', 'pruned_transducer_stateless2/exp-char-M-8-gpus/epoch-29.pt']
+2022-05-29 19:47:23,594 INFO [decode.py:523] Number of model parameters: 88978927
+2022-05-29 19:47:23,706 INFO [asr_datamodule.py:353] About to create dev dataset
+2022-05-29 19:47:27,681 INFO [asr_datamodule.py:374] About to create dev dataloader
+2022-05-29 19:47:57,075 INFO [decode.py:390] batch 0/?, cuts processed until now is 27
+2022-05-29 19:48:25,700 INFO [decode.py:390] batch 100/?, cuts processed until now is 3620
+2022-05-29 19:48:54,418 INFO [decode.py:390] batch 200/?, cuts processed until now is 7274
+2022-05-29 19:49:24,114 INFO [decode.py:390] batch 300/?, cuts processed until now is 11229
+2022-05-29 19:49:44,340 INFO [decode.py:407] The transcripts are stored in pruned_transducer_stateless2/exp-char-M-8-gpus/greedy_search/recogs-DEV-greedy_search-epoch-29-avg-11-context-2-max-sym-per-frame-1.txt
+2022-05-29 19:49:44,791 INFO [utils.py:406] [DEV-greedy_search] %WER 10.40% [34386 / 330498, 1604 ins, 15586 del, 17196 sub ]
+2022-05-29 19:49:45,807 INFO [decode.py:420] Wrote detailed error stats to pruned_transducer_stateless2/exp-char-M-8-gpus/greedy_search/errs-DEV-greedy_search-epoch-29-avg-11-context-2-max-sym-per-frame-1.txt
+2022-05-29 19:49:45,815 INFO [decode.py:437] 
+For DEV, WER of different settings are:
+greedy_search	10.4	best for DEV
+
+2022-05-29 19:50:01,128 INFO [decode.py:390] batch 0/?, cuts processed until now is 31
+2022-05-29 19:50:30,506 INFO [decode.py:390] batch 100/?, cuts processed until now is 5697
+2022-05-29 19:50:59,633 INFO [decode.py:390] batch 200/?, cuts processed until now is 11459
+2022-05-29 19:51:27,895 INFO [decode.py:390] batch 300/?, cuts processed until now is 18125
+2022-05-29 19:51:59,510 INFO [decode.py:390] batch 400/?, cuts processed until now is 23683
+2022-05-29 19:52:07,635 INFO [decode.py:407] The transcripts are stored in pruned_transducer_stateless2/exp-char-M-8-gpus/greedy_search/recogs-TEST_NET-greedy_search-epoch-29-avg-11-context-2-max-sym-per-frame-1.txt
+2022-05-29 19:52:08,181 INFO [utils.py:406] [TEST_NET-greedy_search] %WER 11.29% [46945 / 415747, 2335 ins, 12083 del, 32527 sub ]
+2022-05-29 19:52:09,589 INFO [decode.py:420] Wrote detailed error stats to pruned_transducer_stateless2/exp-char-M-8-gpus/greedy_search/errs-TEST_NET-greedy_search-epoch-29-avg-11-context-2-max-sym-per-frame-1.txt
+2022-05-29 19:52:09,597 INFO [decode.py:437] 
+For TEST_NET, WER of different settings are:
+greedy_search	11.29	best for TEST_NET
+
+2022-05-29 19:52:13,119 INFO [decode.py:390] batch 0/?, cuts processed until now is 20
+2022-05-29 19:52:46,968 INFO [decode.py:390] batch 100/?, cuts processed until now is 2825
+2022-05-29 19:53:19,644 INFO [decode.py:390] batch 200/?, cuts processed until now is 5695
+2022-05-29 19:53:46,650 INFO [decode.py:407] The transcripts are stored in pruned_transducer_stateless2/exp-char-M-8-gpus/greedy_search/recogs-TEST_MEETING-greedy_search-epoch-29-avg-11-context-2-max-sym-per-frame-1.txt
+2022-05-29 19:53:46,907 INFO [utils.py:406] [TEST_MEETING-greedy_search] %WER 19.64% [43283 / 220385, 1422 ins, 24543 del, 17318 sub ]
+2022-05-29 19:53:47,628 INFO [decode.py:420] Wrote detailed error stats to pruned_transducer_stateless2/exp-char-M-8-gpus/greedy_search/errs-TEST_MEETING-greedy_search-epoch-29-avg-11-context-2-max-sym-per-frame-1.txt
+2022-05-29 19:53:47,636 INFO [decode.py:437] 
+For TEST_MEETING, WER of different settings are:
+greedy_search	19.64	best for TEST_MEETING
+
+2022-05-29 19:53:47,636 INFO [decode.py:617] Done!

log_trained_with_M/greedy_search/wer-summary-DEV-greedy_search-epoch-29-avg-11-context-2-max-sym-per-frame-1.txt

@@ -0,0 +1,2 @@
+settings	WER
+greedy_search	10.4

log_trained_with_M/greedy_search/wer-summary-TEST_MEETING-greedy_search-epoch-29-avg-11-context-2-max-sym-per-frame-1.txt

@@ -0,0 +1,2 @@
+settings	WER
+greedy_search	19.64

log_trained_with_M/greedy_search/wer-summary-TEST_NET-greedy_search-epoch-29-avg-11-context-2-max-sym-per-frame-1.txt

@@ -0,0 +1,2 @@
+settings	WER
+greedy_search	11.29

log_trained_with_M/modified_beam_search/log-decode-epoch-29-avg-11-beam-4-2022-05-05-10-23-19

@@ -0,0 +1,582 @@
+2022-05-05 10:23:19,709 INFO [decode.py:487] Decoding started
+2022-05-05 10:23:19,709 INFO [decode.py:493] Device: cuda:0
+2022-05-05 10:23:20,822 INFO [lexicon.py:176] Loading pre-compiled data/lang_char/Linv.pt
+2022-05-05 10:23:21,051 INFO [decode.py:499] {'best_train_loss': inf, 'best_valid_loss': inf, 'best_train_epoch': -1, 'best_valid_epoch': -1, 'batch_idx_train': 0, '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': '1.14', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': '4fb6b88661cca73e5f66f03df16e5a1d0c4886f8', 'k2-git-date': 'Fri Apr 8 18:29:32 2022', 'lhotse-version': '1.2.0.dev+git.cda63b5.clean', 'torch-version': '1.11.0', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'wenetspeech-pruned-transducer-stateless2', 'icefall-git-sha1': '4b567e4-dirty', 'icefall-git-date': 'Wed Apr 27 13:43:54 2022', 'icefall-path': '/ceph-meixu/luomingshuang/icefall', 'k2-path': '/ceph-ms/luomingshuang/k2/k2/python/k2/__init__.py', 'lhotse-path': '/ceph-meixu/luomingshuang/anaconda3/envs/k2-python/lib/python3.8/site-packages/lhotse-1.2.0.dev0+git.cda63b5.clean-py3.8.egg/lhotse/__init__.py', 'hostname': 'de-74279-k2-train-3-0307202051-57dc848959-8tmmp', 'IP address': '10.177.24.138'}, 'epoch': 29, 'batch': None, 'avg': 11, 'avg_last_n': 0, 'exp_dir': PosixPath('pruned_transducer_stateless2/exp-char-M-8-gpus'), 'lang_dir': 'data/lang_char', 'token_type': 'char', 'decoding_method': 'modified_beam_search', 'beam_size': 4, 'beam': 4, 'max_contexts': 4, 'max_states': 8, 'context_size': 2, 'max_sym_per_frame': 1, 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 200, '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, 'lazy_load': True, 'training_subset': 'L', 'res_dir': PosixPath('pruned_transducer_stateless2/exp-char-M-8-gpus/modified_beam_search'), 'suffix': 'epoch-29-avg-11-beam-4', 'blank_id': 0, 'vocab_size': 5537}
+2022-05-05 10:23:21,051 INFO [decode.py:501] About to create model
+2022-05-05 10:23:21,620 INFO [decode.py:522] averaging ['pruned_transducer_stateless2/exp-char-M-8-gpus/epoch-19.pt', 'pruned_transducer_stateless2/exp-char-M-8-gpus/epoch-20.pt', 'pruned_transducer_stateless2/exp-char-M-8-gpus/epoch-21.pt', 'pruned_transducer_stateless2/exp-char-M-8-gpus/epoch-22.pt', 'pruned_transducer_stateless2/exp-char-M-8-gpus/epoch-23.pt', 'pruned_transducer_stateless2/exp-char-M-8-gpus/epoch-24.pt', 'pruned_transducer_stateless2/exp-char-M-8-gpus/epoch-25.pt', 'pruned_transducer_stateless2/exp-char-M-8-gpus/epoch-26.pt', 'pruned_transducer_stateless2/exp-char-M-8-gpus/epoch-27.pt', 'pruned_transducer_stateless2/exp-char-M-8-gpus/epoch-28.pt', 'pruned_transducer_stateless2/exp-char-M-8-gpus/epoch-29.pt']
+2022-05-05 10:24:31,540 INFO [decode.py:536] Number of model parameters: 88978927
+2022-05-05 10:24:31,553 INFO [asr_datamodule.py:359] About to create dev dataset
+2022-05-05 10:24:46,021 INFO [asr_datamodule.py:380] About to create dev dataloader
+2022-05-05 10:25:17,759 INFO [decode.py:407] batch 0/?, cuts processed until now is 27
+2022-05-05 10:25:22,111 INFO [decode.py:407] batch 2/?, cuts processed until now is 82
+2022-05-05 10:25:26,658 INFO [decode.py:407] batch 4/?, cuts processed until now is 191
+2022-05-05 10:25:31,338 INFO [decode.py:407] batch 6/?, cuts processed until now is 306
+2022-05-05 10:25:35,793 INFO [decode.py:407] batch 8/?, cuts processed until now is 363
+2022-05-05 10:25:40,272 INFO [decode.py:407] batch 10/?, cuts processed until now is 411
+2022-05-05 10:25:44,686 INFO [decode.py:407] batch 12/?, cuts processed until now is 463
+2022-05-05 10:25:49,058 INFO [decode.py:407] batch 14/?, cuts processed until now is 525
+2022-05-05 10:25:53,320 INFO [decode.py:407] batch 16/?, cuts processed until now is 583
+2022-05-05 10:25:57,805 INFO [decode.py:407] batch 18/?, cuts processed until now is 638
+2022-05-05 10:26:02,387 INFO [decode.py:407] batch 20/?, cuts processed until now is 689
+2022-05-05 10:26:06,843 INFO [decode.py:407] batch 22/?, cuts processed until now is 750
+2022-05-05 10:26:11,253 INFO [decode.py:407] batch 24/?, cuts processed until now is 812
+2022-05-05 10:26:15,726 INFO [decode.py:407] batch 26/?, cuts processed until now is 881
+2022-05-05 10:26:20,189 INFO [decode.py:407] batch 28/?, cuts processed until now is 962
+2022-05-05 10:26:24,536 INFO [decode.py:407] batch 30/?, cuts processed until now is 1043
+2022-05-05 10:26:28,920 INFO [decode.py:407] batch 32/?, cuts processed until now is 1147
+2022-05-05 10:26:33,585 INFO [decode.py:407] batch 34/?, cuts processed until now is 1227
+2022-05-05 10:26:38,231 INFO [decode.py:407] batch 36/?, cuts processed until now is 1282
+2022-05-05 10:26:42,638 INFO [decode.py:407] batch 38/?, cuts processed until now is 1339
+2022-05-05 10:26:47,109 INFO [decode.py:407] batch 40/?, cuts processed until now is 1383
+2022-05-05 10:26:51,612 INFO [decode.py:407] batch 42/?, cuts processed until now is 1450
+2022-05-05 10:26:55,948 INFO [decode.py:407] batch 44/?, cuts processed until now is 1530
+2022-05-05 10:27:00,338 INFO [decode.py:407] batch 46/?, cuts processed until now is 1621
+2022-05-05 10:27:04,802 INFO [decode.py:407] batch 48/?, cuts processed until now is 1737
+2022-05-05 10:27:09,215 INFO [decode.py:407] batch 50/?, cuts processed until now is 1824
+2022-05-05 10:27:13,607 INFO [decode.py:407] batch 52/?, cuts processed until now is 1879
+2022-05-05 10:27:18,112 INFO [decode.py:407] batch 54/?, cuts processed until now is 1927
+2022-05-05 10:27:22,633 INFO [decode.py:407] batch 56/?, cuts processed until now is 2008
+2022-05-05 10:27:26,947 INFO [decode.py:407] batch 58/?, cuts processed until now is 2096
+2022-05-05 10:27:31,295 INFO [decode.py:407] batch 60/?, cuts processed until now is 2153
+2022-05-05 10:27:35,667 INFO [decode.py:407] batch 62/?, cuts processed until now is 2210
+2022-05-05 10:27:40,210 INFO [decode.py:407] batch 64/?, cuts processed until now is 2261
+2022-05-05 10:27:44,680 INFO [decode.py:407] batch 66/?, cuts processed until now is 2321
+2022-05-05 10:27:49,033 INFO [decode.py:407] batch 68/?, cuts processed until now is 2383
+2022-05-05 10:27:53,507 INFO [decode.py:407] batch 70/?, cuts processed until now is 2431
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+2022-05-05 10:28:02,260 INFO [decode.py:407] batch 74/?, cuts processed until now is 2529
+2022-05-05 10:28:06,603 INFO [decode.py:407] batch 76/?, cuts processed until now is 2586
+2022-05-05 10:28:11,128 INFO [decode.py:407] batch 78/?, cuts processed until now is 2703
+2022-05-05 10:28:15,803 INFO [decode.py:407] batch 80/?, cuts processed until now is 2808
+2022-05-05 10:28:20,332 INFO [decode.py:407] batch 82/?, cuts processed until now is 2912
+2022-05-05 10:28:24,896 INFO [decode.py:407] batch 84/?, cuts processed until now is 3051
+2022-05-05 10:28:29,266 INFO [decode.py:407] batch 86/?, cuts processed until now is 3136
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+2022-05-05 10:28:38,523 INFO [decode.py:407] batch 90/?, cuts processed until now is 3347
+2022-05-05 10:28:43,141 INFO [decode.py:407] batch 92/?, cuts processed until now is 3393
+2022-05-05 10:28:47,649 INFO [decode.py:407] batch 94/?, cuts processed until now is 3448
+2022-05-05 10:28:51,979 INFO [decode.py:407] batch 96/?, cuts processed until now is 3517
+2022-05-05 10:28:56,359 INFO [decode.py:407] batch 98/?, cuts processed until now is 3586
+2022-05-05 10:29:00,785 INFO [decode.py:407] batch 100/?, cuts processed until now is 3675
+2022-05-05 10:29:05,296 INFO [decode.py:407] batch 102/?, cuts processed until now is 3772
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+2022-05-05 10:29:14,408 INFO [decode.py:407] batch 106/?, cuts processed until now is 3892
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+2022-05-05 10:30:02,999 INFO [decode.py:407] batch 128/?, cuts processed until now is 4737
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+2022-05-05 10:30:29,728 INFO [decode.py:407] batch 140/?, cuts processed until now is 5130
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+2022-05-05 10:30:43,034 INFO [decode.py:407] batch 146/?, cuts processed until now is 5296
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+2022-05-05 10:31:05,245 INFO [decode.py:407] batch 156/?, cuts processed until now is 5617
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+2022-05-05 10:31:13,936 INFO [decode.py:407] batch 160/?, cuts processed until now is 5722
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+2022-05-05 10:31:31,814 INFO [decode.py:407] batch 168/?, cuts processed until now is 5986
+2022-05-05 10:31:36,258 INFO [decode.py:407] batch 170/?, cuts processed until now is 6071
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+2022-05-05 10:32:03,559 INFO [decode.py:407] batch 182/?, cuts processed until now is 6582
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+2022-05-05 10:38:24,322 INFO [decode.py:407] batch 354/?, cuts processed until now is 13355
+2022-05-05 10:38:27,307 INFO [decode.py:407] batch 356/?, cuts processed until now is 13388
+2022-05-05 10:38:30,735 INFO [decode.py:407] batch 358/?, cuts processed until now is 13452
+2022-05-05 10:38:34,770 INFO [decode.py:407] batch 360/?, cuts processed until now is 13505
+2022-05-05 10:38:38,605 INFO [decode.py:407] batch 362/?, cuts processed until now is 13547
+2022-05-05 10:38:41,041 INFO [decode.py:407] batch 364/?, cuts processed until now is 13575
+2022-05-05 10:38:43,691 INFO [decode.py:407] batch 366/?, cuts processed until now is 13600
+2022-05-05 10:38:46,442 INFO [decode.py:407] batch 368/?, cuts processed until now is 13624
+2022-05-05 10:38:49,206 INFO [decode.py:407] batch 370/?, cuts processed until now is 13708
+2022-05-05 10:38:51,791 INFO [decode.py:407] batch 372/?, cuts processed until now is 13742
+2022-05-05 10:38:53,122 INFO [decode.py:407] batch 374/?, cuts processed until now is 13753
+2022-05-05 10:38:56,306 INFO [decode.py:407] batch 376/?, cuts processed until now is 13825
+2022-05-05 10:38:56,628 INFO [decode.py:424] The transcripts are stored in pruned_transducer_stateless2/exp-char-M-8-gpus/modified_beam_search/recogs-DEV-beam_size_4-epoch-29-avg-11-beam-4.txt
+2022-05-05 10:38:56,994 INFO [utils.py:406] [DEV-beam_size_4] %WER 9.85% [32553 / 330498, 1747 ins, 13746 del, 17060 sub ]
+2022-05-05 10:38:57,996 INFO [decode.py:437] Wrote detailed error stats to pruned_transducer_stateless2/exp-char-M-8-gpus/modified_beam_search/errs-DEV-beam_size_4-epoch-29-avg-11-beam-4.txt
+2022-05-05 10:38:57,997 INFO [decode.py:454] 
+For DEV, WER of different settings are:
+beam_size_4	9.85	best for DEV
+
+2022-05-05 10:39:08,771 INFO [decode.py:407] batch 0/?, cuts processed until now is 31
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+2022-05-05 10:55:59,117 INFO [decode.py:407] batch 412/?, cuts processed until now is 24268
+2022-05-05 10:56:01,595 INFO [decode.py:407] batch 414/?, cuts processed until now is 24300
+2022-05-05 10:56:03,443 INFO [decode.py:407] batch 416/?, cuts processed until now is 24322
+2022-05-05 10:56:05,320 INFO [decode.py:407] batch 418/?, cuts processed until now is 24349
+2022-05-05 10:56:07,050 INFO [decode.py:407] batch 420/?, cuts processed until now is 24396
+2022-05-05 10:56:08,933 INFO [decode.py:407] batch 422/?, cuts processed until now is 24441
+2022-05-05 10:56:09,643 INFO [decode.py:407] batch 424/?, cuts processed until now is 24462
+2022-05-05 10:56:12,169 INFO [decode.py:407] batch 426/?, cuts processed until now is 24491
+2022-05-05 10:56:14,638 INFO [decode.py:407] batch 428/?, cuts processed until now is 24519
+2022-05-05 10:56:17,399 INFO [decode.py:407] batch 430/?, cuts processed until now is 24645
+2022-05-05 10:56:19,886 INFO [decode.py:424] The transcripts are stored in pruned_transducer_stateless2/exp-char-M-8-gpus/modified_beam_search/recogs-TEST_NET-beam_size_4-epoch-29-avg-11-beam-4.txt
+2022-05-05 10:56:20,388 INFO [utils.py:406] [TEST_NET-beam_size_4] %WER 11.04% [45898 / 415747, 2760 ins, 10776 del, 32362 sub ]
+2022-05-05 10:56:21,721 INFO [decode.py:437] Wrote detailed error stats to pruned_transducer_stateless2/exp-char-M-8-gpus/modified_beam_search/errs-TEST_NET-beam_size_4-epoch-29-avg-11-beam-4.txt
+2022-05-05 10:56:21,722 INFO [decode.py:454] 
+For TEST_NET, WER of different settings are:
+beam_size_4	11.04	best for TEST_NET
+
+2022-05-05 10:56:30,063 INFO [decode.py:407] batch 0/?, cuts processed until now is 19
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+2022-05-05 11:07:25,515 INFO [decode.py:407] batch 282/?, cuts processed until now is 8274
+2022-05-05 11:07:27,707 INFO [decode.py:407] batch 284/?, cuts processed until now is 8304
+2022-05-05 11:07:29,941 INFO [decode.py:407] batch 286/?, cuts processed until now is 8327
+2022-05-05 11:07:31,901 INFO [decode.py:407] batch 288/?, cuts processed until now is 8334
+2022-05-05 11:07:35,831 INFO [decode.py:407] batch 290/?, cuts processed until now is 8370
+2022-05-05 11:07:36,104 INFO [decode.py:424] The transcripts are stored in pruned_transducer_stateless2/exp-char-M-8-gpus/modified_beam_search/recogs-TEST_MEETING-beam_size_4-epoch-29-avg-11-beam-4.txt
+2022-05-05 11:07:36,380 INFO [utils.py:406] [TEST_MEETING-beam_size_4] %WER 18.20% [40120 / 220385, 1741 ins, 20831 del, 17548 sub ]
+2022-05-05 11:07:37,045 INFO [decode.py:437] Wrote detailed error stats to pruned_transducer_stateless2/exp-char-M-8-gpus/modified_beam_search/errs-TEST_MEETING-beam_size_4-epoch-29-avg-11-beam-4.txt
+2022-05-05 11:07:37,045 INFO [decode.py:454] 
+For TEST_MEETING, WER of different settings are:
+beam_size_4	18.2	best for TEST_MEETING
+
+2022-05-05 11:07:37,045 INFO [decode.py:630] Done!

log_trained_with_M/modified_beam_search/wer-summary-DEV-beam_size_4-epoch-29-avg-11-beam-4.txt

@@ -0,0 +1,2 @@
+settings	WER
+beam_size_4	9.85

log_trained_with_M/modified_beam_search/wer-summary-TEST_MEETING-beam_size_4-epoch-29-avg-11-beam-4.txt

@@ -0,0 +1,2 @@
+settings	WER
+beam_size_4	18.2

log_trained_with_M/modified_beam_search/wer-summary-TEST_NET-beam_size_4-epoch-29-avg-11-beam-4.txt

@@ -0,0 +1,2 @@
+settings	WER
+beam_size_4	11.04

log_trained_with_S/fast_beam_search/log-decode-epoch-29-avg-24-beam-4-max-contexts-4-max-states-8-2022-05-29-21-10-39

@@ -0,0 +1,112 @@
+2022-05-29 21:10:39,882 INFO [decode.py:470] Decoding started
+2022-05-29 21:10:39,882 INFO [decode.py:476] Device: cuda:0
+2022-05-29 21:10:41,190 INFO [lexicon.py:176] Loading pre-compiled data/lang_char/Linv.pt
+2022-05-29 21:10:41,277 INFO [decode.py:482] {'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': '1.2.0.dev+git.de75634.dirty', 'torch-version': '1.11.0', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'wenetspeech-pruned-transducer-stateless2', 'icefall-git-sha1': '4b567e4-dirty', 'icefall-git-date': 'Wed Apr 27 13:43:54 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-1.2.0.dev0+git.de75634.dirty-py3.8.egg/lhotse/__init__.py', 'hostname': 'de-74279-k2-train-7-0309102938-68688b4cbd-xhtcg', 'IP address': '10.48.32.137'}, 'epoch': 29, 'batch': None, 'avg': 24, 'avg_last_n': 0, 'exp_dir': PosixPath('pruned_transducer_stateless2/exp-char-S-4-gpus'), 'lang_dir': 'data/lang_char', 'decoding_method': 'fast_beam_search', 'beam_size': 4, 'beam': 4, 'max_contexts': 4, 'max_states': 8, 'context_size': 2, 'max_sym_per_frame': 1, 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 1500, '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, 'lazy_load': True, 'training_subset': 'L', 'res_dir': PosixPath('pruned_transducer_stateless2/exp-char-S-4-gpus/fast_beam_search'), 'suffix': 'epoch-29-avg-24-beam-4-max-contexts-4-max-states-8', 'blank_id': 0, 'vocab_size': 5537}
+2022-05-29 21:10:41,277 INFO [decode.py:484] About to create model
+2022-05-29 21:10:41,907 INFO [decode.py:505] averaging ['pruned_transducer_stateless2/exp-char-S-4-gpus/epoch-6.pt', 'pruned_transducer_stateless2/exp-char-S-4-gpus/epoch-7.pt', 'pruned_transducer_stateless2/exp-char-S-4-gpus/epoch-8.pt', 'pruned_transducer_stateless2/exp-char-S-4-gpus/epoch-9.pt', 'pruned_transducer_stateless2/exp-char-S-4-gpus/epoch-10.pt', 'pruned_transducer_stateless2/exp-char-S-4-gpus/epoch-11.pt', 'pruned_transducer_stateless2/exp-char-S-4-gpus/epoch-12.pt', 'pruned_transducer_stateless2/exp-char-S-4-gpus/epoch-13.pt', 'pruned_transducer_stateless2/exp-char-S-4-gpus/epoch-14.pt', 'pruned_transducer_stateless2/exp-char-S-4-gpus/epoch-15.pt', 'pruned_transducer_stateless2/exp-char-S-4-gpus/epoch-16.pt', 'pruned_transducer_stateless2/exp-char-S-4-gpus/epoch-17.pt', 'pruned_transducer_stateless2/exp-char-S-4-gpus/epoch-18.pt', 'pruned_transducer_stateless2/exp-char-S-4-gpus/epoch-19.pt', 'pruned_transducer_stateless2/exp-char-S-4-gpus/epoch-20.pt', 'pruned_transducer_stateless2/exp-char-S-4-gpus/epoch-21.pt', 'pruned_transducer_stateless2/exp-char-S-4-gpus/epoch-22.pt', 'pruned_transducer_stateless2/exp-char-S-4-gpus/epoch-23.pt', 'pruned_transducer_stateless2/exp-char-S-4-gpus/epoch-24.pt', 'pruned_transducer_stateless2/exp-char-S-4-gpus/epoch-25.pt', 'pruned_transducer_stateless2/exp-char-S-4-gpus/epoch-26.pt', 'pruned_transducer_stateless2/exp-char-S-4-gpus/epoch-27.pt', 'pruned_transducer_stateless2/exp-char-S-4-gpus/epoch-28.pt', 'pruned_transducer_stateless2/exp-char-S-4-gpus/epoch-29.pt']
+2022-05-29 21:14:00,758 INFO [decode.py:523] Number of model parameters: 88978927
+2022-05-29 21:14:00,894 INFO [asr_datamodule.py:353] About to create dev dataset
+2022-05-29 21:14:15,621 INFO [asr_datamodule.py:374] About to create dev dataloader
+2022-05-29 21:14:37,752 INFO [decode.py:390] batch 0/?, cuts processed until now is 204
+2022-05-29 21:14:42,268 INFO [decode.py:390] batch 2/?, cuts processed until now is 614
+2022-05-29 21:14:46,911 INFO [decode.py:390] batch 4/?, cuts processed until now is 1427
+2022-05-29 21:14:51,366 INFO [decode.py:390] batch 6/?, cuts processed until now is 2282
+2022-05-29 21:14:56,120 INFO [decode.py:390] batch 8/?, cuts processed until now is 2693
+2022-05-29 21:15:00,895 INFO [decode.py:390] batch 10/?, cuts processed until now is 3029
+2022-05-29 21:15:05,470 INFO [decode.py:390] batch 12/?, cuts processed until now is 3393
+2022-05-29 21:15:09,894 INFO [decode.py:390] batch 14/?, cuts processed until now is 3831
+2022-05-29 21:15:14,449 INFO [decode.py:390] batch 16/?, cuts processed until now is 4242
+2022-05-29 21:15:18,918 INFO [decode.py:390] batch 18/?, cuts processed until now is 4744
+2022-05-29 21:15:23,243 INFO [decode.py:390] batch 20/?, cuts processed until now is 5310
+2022-05-29 21:15:27,633 INFO [decode.py:390] batch 22/?, cuts processed until now is 5961
+2022-05-29 21:15:32,134 INFO [decode.py:390] batch 24/?, cuts processed until now is 6611
+2022-05-29 21:15:36,657 INFO [decode.py:390] batch 26/?, cuts processed until now is 7265
+2022-05-29 21:15:41,139 INFO [decode.py:390] batch 28/?, cuts processed until now is 7981
+2022-05-29 21:15:45,558 INFO [decode.py:390] batch 30/?, cuts processed until now is 8609
+2022-05-29 21:15:50,115 INFO [decode.py:390] batch 32/?, cuts processed until now is 9551
+2022-05-29 21:15:54,691 INFO [decode.py:390] batch 34/?, cuts processed until now is 10324
+2022-05-29 21:15:59,268 INFO [decode.py:390] batch 36/?, cuts processed until now is 10687
+2022-05-29 21:16:03,414 INFO [decode.py:390] batch 38/?, cuts processed until now is 11164
+2022-05-29 21:16:06,482 INFO [decode.py:390] batch 40/?, cuts processed until now is 11535
+2022-05-29 21:16:08,810 INFO [decode.py:390] batch 42/?, cuts processed until now is 11862
+2022-05-29 21:16:10,867 INFO [decode.py:390] batch 44/?, cuts processed until now is 12149
+2022-05-29 21:16:13,196 INFO [decode.py:390] batch 46/?, cuts processed until now is 12328
+2022-05-29 21:16:16,213 INFO [decode.py:390] batch 48/?, cuts processed until now is 12491
+2022-05-29 21:16:18,751 INFO [decode.py:390] batch 50/?, cuts processed until now is 12669
+2022-05-29 21:16:20,993 INFO [decode.py:390] batch 52/?, cuts processed until now is 12815
+2022-05-29 21:16:23,593 INFO [decode.py:390] batch 54/?, cuts processed until now is 12980
+2022-05-29 21:16:26,156 INFO [decode.py:390] batch 56/?, cuts processed until now is 13442
+2022-05-29 21:16:28,167 INFO [decode.py:390] batch 58/?, cuts processed until now is 13735
+2022-05-29 21:16:29,494 INFO [decode.py:407] The transcripts are stored in pruned_transducer_stateless2/exp-char-S-4-gpus/fast_beam_search/recogs-DEV-beam_4_max_contexts_4_max_states_8-epoch-29-avg-24-beam-4-max-contexts-4-max-states-8.txt
+2022-05-29 21:16:29,983 INFO [utils.py:406] [DEV-beam_4_max_contexts_4_max_states_8] %WER 19.02% [62867 / 330498, 1407 ins, 19330 del, 42130 sub ]
+2022-05-29 21:16:31,066 INFO [decode.py:420] Wrote detailed error stats to pruned_transducer_stateless2/exp-char-S-4-gpus/fast_beam_search/errs-DEV-beam_4_max_contexts_4_max_states_8-epoch-29-avg-24-beam-4-max-contexts-4-max-states-8.txt
+2022-05-29 21:16:31,073 INFO [decode.py:437] 
+For DEV, WER of different settings are:
+beam_4_max_contexts_4_max_states_8	19.02	best for DEV
+
+2022-05-29 21:16:39,435 INFO [decode.py:390] batch 0/?, cuts processed until now is 240
+2022-05-29 21:16:44,003 INFO [decode.py:390] batch 2/?, cuts processed until now is 720
+2022-05-29 21:16:49,100 INFO [decode.py:390] batch 4/?, cuts processed until now is 2345
+2022-05-29 21:16:54,191 INFO [decode.py:390] batch 6/?, cuts processed until now is 4113
+2022-05-29 21:17:02,217 INFO [decode.py:390] batch 8/?, cuts processed until now is 4598
+2022-05-29 21:17:11,999 INFO [decode.py:390] batch 10/?, cuts processed until now is 4927
+2022-05-29 21:17:16,396 INFO [decode.py:390] batch 12/?, cuts processed until now is 5340
+2022-05-29 21:17:20,799 INFO [decode.py:390] batch 14/?, cuts processed until now is 5908
+2022-05-29 21:17:27,084 INFO [decode.py:390] batch 16/?, cuts processed until now is 6395
+2022-05-29 21:17:34,082 INFO [decode.py:390] batch 18/?, cuts processed until now is 6750
+2022-05-29 21:17:38,658 INFO [decode.py:390] batch 20/?, cuts processed until now is 7247
+2022-05-29 21:17:43,107 INFO [decode.py:390] batch 22/?, cuts processed until now is 8319
+2022-05-29 21:17:47,581 INFO [decode.py:390] batch 24/?, cuts processed until now is 9403
+2022-05-29 21:17:52,159 INFO [decode.py:390] batch 26/?, cuts processed until now is 10482
+2022-05-29 21:17:56,821 INFO [decode.py:390] batch 28/?, cuts processed until now is 11733
+2022-05-29 21:18:01,170 INFO [decode.py:390] batch 30/?, cuts processed until now is 12776
+2022-05-29 21:18:06,020 INFO [decode.py:390] batch 32/?, cuts processed until now is 14713
+2022-05-29 21:18:10,846 INFO [decode.py:390] batch 34/?, cuts processed until now is 16235
+2022-05-29 21:18:18,460 INFO [decode.py:390] batch 36/?, cuts processed until now is 16564
+2022-05-29 21:18:25,278 INFO [decode.py:390] batch 38/?, cuts processed until now is 17289
+2022-05-29 21:18:29,403 INFO [decode.py:390] batch 40/?, cuts processed until now is 18330
+2022-05-29 21:18:33,299 INFO [decode.py:390] batch 42/?, cuts processed until now is 19370
+2022-05-29 21:18:36,169 INFO [decode.py:390] batch 44/?, cuts processed until now is 20163
+2022-05-29 21:18:39,316 INFO [decode.py:390] batch 46/?, cuts processed until now is 20677
+2022-05-29 21:18:43,251 INFO [decode.py:390] batch 48/?, cuts processed until now is 21115
+2022-05-29 21:18:47,017 INFO [decode.py:390] batch 50/?, cuts processed until now is 21505
+2022-05-29 21:18:50,963 INFO [decode.py:390] batch 52/?, cuts processed until now is 22645
+2022-05-29 21:18:53,993 INFO [decode.py:390] batch 54/?, cuts processed until now is 23529
+2022-05-29 21:18:56,814 INFO [decode.py:390] batch 56/?, cuts processed until now is 23871
+2022-05-29 21:19:01,495 INFO [decode.py:390] batch 58/?, cuts processed until now is 24173
+2022-05-29 21:19:05,463 INFO [decode.py:390] batch 60/?, cuts processed until now is 24534
+2022-05-29 21:19:07,047 INFO [decode.py:407] The transcripts are stored in pruned_transducer_stateless2/exp-char-S-4-gpus/fast_beam_search/recogs-TEST_NET-beam_4_max_contexts_4_max_states_8-epoch-29-avg-24-beam-4-max-contexts-4-max-states-8.txt
+2022-05-29 21:19:07,599 INFO [utils.py:406] [TEST_NET-beam_4_max_contexts_4_max_states_8] %WER 24.14% [100372 / 415747, 2343 ins, 22089 del, 75940 sub ]
+2022-05-29 21:19:09,057 INFO [decode.py:420] Wrote detailed error stats to pruned_transducer_stateless2/exp-char-S-4-gpus/fast_beam_search/errs-TEST_NET-beam_4_max_contexts_4_max_states_8-epoch-29-avg-24-beam-4-max-contexts-4-max-states-8.txt
+2022-05-29 21:19:09,065 INFO [decode.py:437] 
+For TEST_NET, WER of different settings are:
+beam_4_max_contexts_4_max_states_8	24.14	best for TEST_NET
+
+2022-05-29 21:19:14,960 INFO [decode.py:390] batch 0/?, cuts processed until now is 149
+2022-05-29 21:19:19,955 INFO [decode.py:390] batch 2/?, cuts processed until now is 431
+2022-05-29 21:19:25,041 INFO [decode.py:390] batch 4/?, cuts processed until now is 1136
+2022-05-29 21:19:29,670 INFO [decode.py:390] batch 6/?, cuts processed until now is 1932
+2022-05-29 21:19:34,536 INFO [decode.py:390] batch 8/?, cuts processed until now is 2279
+2022-05-29 21:19:39,505 INFO [decode.py:390] batch 10/?, cuts processed until now is 2566
+2022-05-29 21:19:45,105 INFO [decode.py:390] batch 12/?, cuts processed until now is 2839
+2022-05-29 21:19:51,582 INFO [decode.py:390] batch 14/?, cuts processed until now is 3215
+2022-05-29 21:19:56,023 INFO [decode.py:390] batch 16/?, cuts processed until now is 3689
+2022-05-29 21:20:00,350 INFO [decode.py:390] batch 18/?, cuts processed until now is 4238
+2022-05-29 21:20:05,395 INFO [decode.py:390] batch 20/?, cuts processed until now is 4656
+2022-05-29 21:20:10,451 INFO [decode.py:390] batch 22/?, cuts processed until now is 4977
+2022-05-29 21:20:14,187 INFO [decode.py:390] batch 24/?, cuts processed until now is 5384
+2022-05-29 21:20:18,004 INFO [decode.py:390] batch 26/?, cuts processed until now is 5763
+2022-05-29 21:20:21,973 INFO [decode.py:390] batch 28/?, cuts processed until now is 6230
+2022-05-29 21:20:25,653 INFO [decode.py:390] batch 30/?, cuts processed until now is 6928
+2022-05-29 21:20:29,804 INFO [decode.py:390] batch 32/?, cuts processed until now is 7519
+2022-05-29 21:20:34,327 INFO [decode.py:390] batch 34/?, cuts processed until now is 7726
+2022-05-29 21:20:39,108 INFO [decode.py:390] batch 36/?, cuts processed until now is 8005
+2022-05-29 21:20:42,695 INFO [decode.py:390] batch 38/?, cuts processed until now is 8229
+2022-05-29 21:20:45,171 INFO [decode.py:407] The transcripts are stored in pruned_transducer_stateless2/exp-char-S-4-gpus/fast_beam_search/recogs-TEST_MEETING-beam_4_max_contexts_4_max_states_8-epoch-29-avg-24-beam-4-max-contexts-4-max-states-8.txt
+2022-05-29 21:20:45,451 INFO [utils.py:406] [TEST_MEETING-beam_4_max_contexts_4_max_states_8] %WER 34.97% [77077 / 220385, 1575 ins, 30420 del, 45082 sub ]
+2022-05-29 21:20:46,218 INFO [decode.py:420] Wrote detailed error stats to pruned_transducer_stateless2/exp-char-S-4-gpus/fast_beam_search/errs-TEST_MEETING-beam_4_max_contexts_4_max_states_8-epoch-29-avg-24-beam-4-max-contexts-4-max-states-8.txt
+2022-05-29 21:20:46,226 INFO [decode.py:437] 
+For TEST_MEETING, WER of different settings are:
+beam_4_max_contexts_4_max_states_8	34.97	best for TEST_MEETING
+
+2022-05-29 21:20:46,226 INFO [decode.py:617] Done!

log_trained_with_S/fast_beam_search/wer-summary-DEV-beam_4_max_contexts_4_max_states_8-epoch-29-avg-24-beam-4-max-contexts-4-max-states-8.txt

@@ -0,0 +1,2 @@
+settings	WER
+beam_4_max_contexts_4_max_states_8	19.02

log_trained_with_S/fast_beam_search/wer-summary-TEST_MEETING-beam_4_max_contexts_4_max_states_8-epoch-29-avg-24-beam-4-max-contexts-4-max-states-8.txt

@@ -0,0 +1,2 @@
+settings	WER
+beam_4_max_contexts_4_max_states_8	34.97

log_trained_with_S/fast_beam_search/wer-summary-TEST_NET-beam_4_max_contexts_4_max_states_8-epoch-29-avg-24-beam-4-max-contexts-4-max-states-8.txt

@@ -0,0 +1,2 @@
+settings	WER
+beam_4_max_contexts_4_max_states_8	24.14

log_trained_with_S/greedy_search/log-decode-epoch-29-avg-24-context-2-max-sym-per-frame-1-2022-05-29-20-15-37

@@ -0,0 +1,43 @@
+2022-05-29 20:15:37,867 INFO [decode.py:470] Decoding started
+2022-05-29 20:15:37,868 INFO [decode.py:476] Device: cuda:0
+2022-05-29 20:15:39,105 INFO [lexicon.py:176] Loading pre-compiled data/lang_char/Linv.pt
+2022-05-29 20:15:39,201 INFO [decode.py:482] {'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': '1.2.0.dev+git.de75634.dirty', 'torch-version': '1.11.0', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'wenetspeech-pruned-transducer-stateless2', 'icefall-git-sha1': '4b567e4-dirty', 'icefall-git-date': 'Wed Apr 27 13:43:54 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-1.2.0.dev0+git.de75634.dirty-py3.8.egg/lhotse/__init__.py', 'hostname': 'de-74279-k2-train-7-0309102938-68688b4cbd-xhtcg', 'IP address': '10.48.32.137'}, 'epoch': 29, 'batch': None, 'avg': 24, 'avg_last_n': 0, 'exp_dir': PosixPath('pruned_transducer_stateless2/exp-char-S-4-gpus'), 'lang_dir': 'data/lang_char', 'decoding_method': 'greedy_search', 'beam_size': 4, 'beam': 4, 'max_contexts': 4, 'max_states': 8, 'context_size': 2, 'max_sym_per_frame': 1, 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 200.0, '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, 'lazy_load': True, 'training_subset': 'L', 'res_dir': PosixPath('pruned_transducer_stateless2/exp-char-S-4-gpus/greedy_search'), 'suffix': 'epoch-29-avg-24-context-2-max-sym-per-frame-1', 'blank_id': 0, 'vocab_size': 5537}
+2022-05-29 20:15:39,201 INFO [decode.py:484] About to create model
+2022-05-29 20:15:39,830 INFO [decode.py:505] averaging ['pruned_transducer_stateless2/exp-char-S-4-gpus/epoch-6.pt', 'pruned_transducer_stateless2/exp-char-S-4-gpus/epoch-7.pt', 'pruned_transducer_stateless2/exp-char-S-4-gpus/epoch-8.pt', 'pruned_transducer_stateless2/exp-char-S-4-gpus/epoch-9.pt', 'pruned_transducer_stateless2/exp-char-S-4-gpus/epoch-10.pt', 'pruned_transducer_stateless2/exp-char-S-4-gpus/epoch-11.pt', 'pruned_transducer_stateless2/exp-char-S-4-gpus/epoch-12.pt', 'pruned_transducer_stateless2/exp-char-S-4-gpus/epoch-13.pt', 'pruned_transducer_stateless2/exp-char-S-4-gpus/epoch-14.pt', 'pruned_transducer_stateless2/exp-char-S-4-gpus/epoch-15.pt', 'pruned_transducer_stateless2/exp-char-S-4-gpus/epoch-16.pt', 'pruned_transducer_stateless2/exp-char-S-4-gpus/epoch-17.pt', 'pruned_transducer_stateless2/exp-char-S-4-gpus/epoch-18.pt', 'pruned_transducer_stateless2/exp-char-S-4-gpus/epoch-19.pt', 'pruned_transducer_stateless2/exp-char-S-4-gpus/epoch-20.pt', 'pruned_transducer_stateless2/exp-char-S-4-gpus/epoch-21.pt', 'pruned_transducer_stateless2/exp-char-S-4-gpus/epoch-22.pt', 'pruned_transducer_stateless2/exp-char-S-4-gpus/epoch-23.pt', 'pruned_transducer_stateless2/exp-char-S-4-gpus/epoch-24.pt', 'pruned_transducer_stateless2/exp-char-S-4-gpus/epoch-25.pt', 'pruned_transducer_stateless2/exp-char-S-4-gpus/epoch-26.pt', 'pruned_transducer_stateless2/exp-char-S-4-gpus/epoch-27.pt', 'pruned_transducer_stateless2/exp-char-S-4-gpus/epoch-28.pt', 'pruned_transducer_stateless2/exp-char-S-4-gpus/epoch-29.pt']
+2022-05-29 20:19:25,994 INFO [decode.py:523] Number of model parameters: 88978927
+2022-05-29 20:19:26,116 INFO [asr_datamodule.py:353] About to create dev dataset
+2022-05-29 20:19:41,057 INFO [asr_datamodule.py:374] About to create dev dataloader
+2022-05-29 20:20:00,361 INFO [decode.py:390] batch 0/?, cuts processed until now is 27
+2022-05-29 20:20:29,689 INFO [decode.py:390] batch 100/?, cuts processed until now is 3620
+2022-05-29 20:20:58,949 INFO [decode.py:390] batch 200/?, cuts processed until now is 7274
+2022-05-29 20:21:28,111 INFO [decode.py:390] batch 300/?, cuts processed until now is 11229
+2022-05-29 20:21:48,040 INFO [decode.py:407] The transcripts are stored in pruned_transducer_stateless2/exp-char-S-4-gpus/greedy_search/recogs-DEV-greedy_search-epoch-29-avg-24-context-2-max-sym-per-frame-1.txt
+2022-05-29 20:21:48,465 INFO [utils.py:406] [DEV-greedy_search] %WER 19.77% [65341 / 330498, 1460 ins, 19553 del, 44328 sub ]
+2022-05-29 20:21:49,582 INFO [decode.py:420] Wrote detailed error stats to pruned_transducer_stateless2/exp-char-S-4-gpus/greedy_search/errs-DEV-greedy_search-epoch-29-avg-24-context-2-max-sym-per-frame-1.txt
+2022-05-29 20:21:49,590 INFO [decode.py:437] 
+For DEV, WER of different settings are:
+greedy_search	19.77	best for DEV
+
+2022-05-29 20:21:55,442 INFO [decode.py:390] batch 0/?, cuts processed until now is 31
+2022-05-29 20:22:25,537 INFO [decode.py:390] batch 100/?, cuts processed until now is 5697
+2022-05-29 20:22:55,801 INFO [decode.py:390] batch 200/?, cuts processed until now is 11459
+2022-05-29 20:23:24,906 INFO [decode.py:390] batch 300/?, cuts processed until now is 18125
+2022-05-29 20:23:56,560 INFO [decode.py:390] batch 400/?, cuts processed until now is 23683
+2022-05-29 20:24:03,939 INFO [decode.py:407] The transcripts are stored in pruned_transducer_stateless2/exp-char-S-4-gpus/greedy_search/recogs-TEST_NET-greedy_search-epoch-29-avg-24-context-2-max-sym-per-frame-1.txt
+2022-05-29 20:24:04,503 INFO [utils.py:406] [TEST_NET-greedy_search] %WER 24.97% [103828 / 415747, 2475 ins, 21936 del, 79417 sub ]
+2022-05-29 20:24:05,966 INFO [decode.py:420] Wrote detailed error stats to pruned_transducer_stateless2/exp-char-S-4-gpus/greedy_search/errs-TEST_NET-greedy_search-epoch-29-avg-24-context-2-max-sym-per-frame-1.txt
+2022-05-29 20:24:05,974 INFO [decode.py:437] 
+For TEST_NET, WER of different settings are:
+greedy_search	24.97	best for TEST_NET
+
+2022-05-29 20:24:09,584 INFO [decode.py:390] batch 0/?, cuts processed until now is 20
+2022-05-29 20:24:44,561 INFO [decode.py:390] batch 100/?, cuts processed until now is 2825
+2022-05-29 20:25:18,913 INFO [decode.py:390] batch 200/?, cuts processed until now is 5695
+2022-05-29 20:25:46,949 INFO [decode.py:407] The transcripts are stored in pruned_transducer_stateless2/exp-char-S-4-gpus/greedy_search/recogs-TEST_MEETING-greedy_search-epoch-29-avg-24-context-2-max-sym-per-frame-1.txt
+2022-05-29 20:25:47,245 INFO [utils.py:406] [TEST_MEETING-greedy_search] %WER 35.52% [78279 / 220385, 1650 ins, 29346 del, 47283 sub ]
+2022-05-29 20:25:48,048 INFO [decode.py:420] Wrote detailed error stats to pruned_transducer_stateless2/exp-char-S-4-gpus/greedy_search/errs-TEST_MEETING-greedy_search-epoch-29-avg-24-context-2-max-sym-per-frame-1.txt
+2022-05-29 20:25:48,056 INFO [decode.py:437] 
+For TEST_MEETING, WER of different settings are:
+greedy_search	35.52	best for TEST_MEETING
+
+2022-05-29 20:25:48,056 INFO [decode.py:617] Done!