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icefall_asr_wenetspeech_pruned_transducer_stateless2

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icefall_asr_wenetspeech_pruned_transducer_stateless2
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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
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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	8.83	best for DEV

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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	9.88	best for TEST_NET

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
2022-07-26 11:49:13,809 INFO [decode.py:517] batch 48/?, cuts processed until now is 3638
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
2022-07-26 11:50:11,706 INFO [decode.py:517] batch 58/?, cuts processed until now is 4236
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
2022-07-26 11:50:45,072 INFO [decode.py:517] batch 64/?, cuts processed until now is 4622
2022-07-26 11:50:57,992 INFO [decode.py:517] batch 66/?, cuts processed until now is 4683
2022-07-26 11:51:08,843 INFO [decode.py:517] batch 68/?, cuts processed until now is 4811
2022-07-26 11:51:21,505 INFO [decode.py:517] batch 70/?, cuts processed until now is 4924
2022-07-26 11:51:32,054 INFO [decode.py:517] batch 72/?, cuts processed until now is 5094
2022-07-26 11:51:38,437 INFO [decode.py:517] batch 74/?, cuts processed until now is 5358
2022-07-26 11:51:45,707 INFO [decode.py:517] batch 76/?, cuts processed until now is 5566
2022-07-26 11:51:52,876 INFO [decode.py:517] batch 78/?, cuts processed until now is 5815
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	15.47	best for TEST_MEETING

2022-07-26 11:53:36,488 INFO [decode.py:766] Done!