2022-09-12 10:12:35,679 INFO [decode.py:734] Decoding started
2022-09-12 10:12:35,679 INFO [decode.py:740] Device: cuda:1
2022-09-12 10:12:35,700 INFO [lexicon.py:176] Loading pre-compiled data/lang_char_bpe/Linv.pt
2022-09-12 10:12:35,709 INFO [decode.py:750] {'best_train_loss': inf, 'best_valid_loss': inf, 'best_train_epoch': -1, 'best_valid_epoch': -1, 'batch_idx_train': 0, 'log_interval': 50, 'reset_interval': 200, 'valid_interval': 3000, 'feature_dim': 80, 'subsampling_factor': 4, 'decoder_dim': 512, 'joiner_dim': 512, 'model_warm_step': 3000, 'env_info': {'k2-version': '1.19', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': '13f26eaae8ce253e229189b830c01d1c65cd8516', 'k2-git-date': 'Tue Aug 23 11:56:40 2022', 'lhotse-version': '1.4.0.dev+git.59318ed.clean', 'torch-version': '1.11.0+cu113', 'torch-cuda-available': True, 'torch-cuda-version': '11.3', 'python-version': '3.7', 'icefall-git-branch': 'master', 'icefall-git-sha1': '484f3f4-dirty', 'icefall-git-date': 'Thu Sep 8 15:15:28 2022', 'icefall-path': '/opt/conda/lib/python3.7/site-packages', 'k2-path': '/opt/conda/lib/python3.7/site-packages/k2/__init__.py', 'lhotse-path': '/opt/conda/lib/python3.7/site-packages/lhotse/__init__.py', 'hostname': 'null', 'IP address': '127.0.0.1'}, 'epoch': 11, 'iter': 0, 'avg': 1, 'use_averaged_model': True, 'exp_dir': PosixPath('conv_emformer_transducer_stateless2/exp'), 'lang_dir': 'data/lang_char_bpe', 'decoding_method': 'modified_beam_search', 'beam_size': 4, 'beam': 4, 'ngram_lm_scale': 0.35, 'max_contexts': 4, 'max_states': 8, 'context_size': 2, 'max_sym_per_frame': 1, 'num_paths': 200, 'nbest_scale': 0.5, 'encoder_dim': 512, 'nhead': 8, 'dim_feedforward': 2048, 'num_encoder_layers': 12, 'cnn_module_kernel': 31, 'left_context_length': 32, 'chunk_length': 32, 'right_context_length': 8, 'memory_size': 32, 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 300, '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': 16, 'enable_spec_aug': True, 'spec_aug_time_warp_factor': 80, 'enable_musan': True, 'training_subset': 'mix', 'res_dir': PosixPath('conv_emformer_transducer_stateless2/exp/modified_beam_search'), 'suffix': 'epoch-11-avg-1-modified_beam_search-beam-size-4-use-averaged-model', 'blank_id': 0, 'vocab_size': 6020}
2022-09-12 10:12:35,709 INFO [decode.py:752] About to create model
2022-09-12 10:12:37,050 INFO [decode.py:820] Calculating the averaged model over epoch range from 10 (excluded) to 11
2022-09-12 10:12:57,694 INFO [decode.py:851] Number of model parameters: 86811532
2022-09-12 10:12:57,700 INFO [asr_datamodule.py:419] About to get dev cuts
2022-09-12 10:12:57,709 INFO [asr_datamodule.py:347] About to create dev dataset
2022-09-12 10:12:58,389 INFO [asr_datamodule.py:368] About to create dev dataloader
2022-09-12 10:12:58,390 INFO [asr_datamodule.py:424] About to get TEST_NET cuts
2022-09-12 10:12:59,045 INFO [asr_datamodule.py:431] About to get TEST_MEETING cuts
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2022-09-12 10:13:00,836 INFO [asr_datamodule.py:473] About to get im cuts
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2022-09-12 12:53:32,509 INFO [decode.py:660] The transcripts are stored in conv_emformer_transducer_stateless2/exp/modified_beam_search/recogs-aishell-beam_size_4-epoch-11-avg-1-modified_beam_search-beam-size-4-use-averaged-model.txt
2022-09-12 12:53:34,278 INFO [utils.py:429] [aishell-beam_size_4] %WER 3.03% [50832 / 1676240, 1344 ins, 1920 del, 47568 sub ]
2022-09-12 12:53:38,511 INFO [decode.py:673] Wrote detailed error stats to conv_emformer_transducer_stateless2/exp/modified_beam_search/errs-aishell-beam_size_4-epoch-11-avg-1-modified_beam_search-beam-size-4-use-averaged-model.txt
2022-09-12 12:53:38,528 INFO [decode.py:690] 
For aishell, WER of different settings are:
beam_size_4	3.03	best for aishell

2022-09-12 12:53:39,706 INFO [decode.py:660] The transcripts are stored in conv_emformer_transducer_stateless2/exp/modified_beam_search/recogs-aishell-beam_size_4_zh-epoch-11-avg-1-modified_beam_search-beam-size-4-use-averaged-model.txt
2022-09-12 12:53:41,216 INFO [utils.py:429] [aishell-beam_size_4_zh] %WER 3.03% [50832 / 1676192, 1344 ins, 2176 del, 47312 sub ]
2022-09-12 12:53:45,444 INFO [decode.py:673] Wrote detailed error stats to conv_emformer_transducer_stateless2/exp/modified_beam_search/errs-aishell-beam_size_4_zh-epoch-11-avg-1-modified_beam_search-beam-size-4-use-averaged-model.txt
2022-09-12 12:53:45,466 INFO [decode.py:690] 
For aishell, WER of different settings are:
beam_size_4_zh	3.03	best for aishell

2022-09-12 12:53:45,769 INFO [decode.py:660] The transcripts are stored in conv_emformer_transducer_stateless2/exp/modified_beam_search/recogs-aishell-beam_size_4_en-epoch-11-avg-1-modified_beam_search-beam-size-4-use-averaged-model.txt
2022-09-12 12:53:45,965 INFO [utils.py:429] [aishell-beam_size_4_en] %WER 533.33% [256 / 48, 256 ins, 0 del, 0 sub ]
2022-09-12 12:53:46,416 INFO [decode.py:673] Wrote detailed error stats to conv_emformer_transducer_stateless2/exp/modified_beam_search/errs-aishell-beam_size_4_en-epoch-11-avg-1-modified_beam_search-beam-size-4-use-averaged-model.txt
2022-09-12 12:53:46,433 INFO [decode.py:690] 
For aishell, WER of different settings are:
beam_size_4_en	533.33	best for aishell

2022-09-12 12:53:53,800 INFO [decode.py:643] batch 0/?, cuts processed until now is 39
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2022-09-12 13:17:02,989 INFO [decode.py:660] The transcripts are stored in conv_emformer_transducer_stateless2/exp/modified_beam_search/recogs-DEV-beam_size_4-epoch-11-avg-1-modified_beam_search-beam-size-4-use-averaged-model.txt
2022-09-12 13:17:03,400 INFO [utils.py:429] [DEV-beam_size_4] %WER 8.50% [27811 / 327301, 2229 ins, 11965 del, 13617 sub ]
2022-09-12 13:17:04,418 INFO [decode.py:673] Wrote detailed error stats to conv_emformer_transducer_stateless2/exp/modified_beam_search/errs-DEV-beam_size_4-epoch-11-avg-1-modified_beam_search-beam-size-4-use-averaged-model.txt
2022-09-12 13:17:04,435 INFO [decode.py:690] 
For DEV, WER of different settings are:
beam_size_4	8.5	best for DEV

2022-09-12 13:17:04,624 INFO [decode.py:660] The transcripts are stored in conv_emformer_transducer_stateless2/exp/modified_beam_search/recogs-DEV-beam_size_4_zh-epoch-11-avg-1-modified_beam_search-beam-size-4-use-averaged-model.txt
2022-09-12 13:17:04,995 INFO [utils.py:429] [DEV-beam_size_4_zh] %WER 8.43% [27511 / 326246, 2656 ins, 11870 del, 12985 sub ]
2022-09-12 13:17:05,975 INFO [decode.py:673] Wrote detailed error stats to conv_emformer_transducer_stateless2/exp/modified_beam_search/errs-DEV-beam_size_4_zh-epoch-11-avg-1-modified_beam_search-beam-size-4-use-averaged-model.txt
2022-09-12 13:17:05,992 INFO [decode.py:690] 
For DEV, WER of different settings are:
beam_size_4_zh	8.43	best for DEV

2022-09-12 13:17:06,056 INFO [decode.py:660] The transcripts are stored in conv_emformer_transducer_stateless2/exp/modified_beam_search/recogs-DEV-beam_size_4_en-epoch-11-avg-1-modified_beam_search-beam-size-4-use-averaged-model.txt
2022-09-12 13:17:06,086 INFO [utils.py:429] [DEV-beam_size_4_en] %WER 73.01% [771 / 1056, 39 ins, 562 del, 170 sub ]
2022-09-12 13:17:06,165 INFO [decode.py:673] Wrote detailed error stats to conv_emformer_transducer_stateless2/exp/modified_beam_search/errs-DEV-beam_size_4_en-epoch-11-avg-1-modified_beam_search-beam-size-4-use-averaged-model.txt
2022-09-12 13:17:06,184 INFO [decode.py:690] 
For DEV, WER of different settings are:
beam_size_4_en	73.01	best for DEV

2022-09-12 13:17:18,242 INFO [decode.py:643] batch 0/?, cuts processed until now is 32
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2022-09-12 19:36:25,881 INFO [decode.py:660] The transcripts are stored in conv_emformer_transducer_stateless2/exp/modified_beam_search/recogs-TEST_NET-beam_size_4-epoch-11-avg-1-modified_beam_search-beam-size-4-use-averaged-model.txt
2022-09-12 19:36:33,324 INFO [utils.py:429] [TEST_NET-beam_size_4] %WER 9.64% [638992 / 6626992, 38176 ins, 168656 del, 432160 sub ]
2022-09-12 19:36:51,863 INFO [decode.py:673] Wrote detailed error stats to conv_emformer_transducer_stateless2/exp/modified_beam_search/errs-TEST_NET-beam_size_4-epoch-11-avg-1-modified_beam_search-beam-size-4-use-averaged-model.txt
2022-09-12 19:36:51,886 INFO [decode.py:690] 
For TEST_NET, WER of different settings are:
beam_size_4	9.64	best for TEST_NET

2022-09-12 19:36:56,819 INFO [decode.py:660] The transcripts are stored in conv_emformer_transducer_stateless2/exp/modified_beam_search/recogs-TEST_NET-beam_size_4_zh-epoch-11-avg-1-modified_beam_search-beam-size-4-use-averaged-model.txt
2022-09-12 19:37:03,373 INFO [utils.py:429] [TEST_NET-beam_size_4_zh] %WER 9.61% [636208 / 6617216, 42016 ins, 168272 del, 425920 sub ]
2022-09-12 19:37:21,043 INFO [decode.py:673] Wrote detailed error stats to conv_emformer_transducer_stateless2/exp/modified_beam_search/errs-TEST_NET-beam_size_4_zh-epoch-11-avg-1-modified_beam_search-beam-size-4-use-averaged-model.txt
2022-09-12 19:37:21,067 INFO [decode.py:690] 
For TEST_NET, WER of different settings are:
beam_size_4_zh	9.61	best for TEST_NET

2022-09-12 19:37:22,194 INFO [decode.py:660] The transcripts are stored in conv_emformer_transducer_stateless2/exp/modified_beam_search/recogs-TEST_NET-beam_size_4_en-epoch-11-avg-1-modified_beam_search-beam-size-4-use-averaged-model.txt
2022-09-12 19:37:22,926 INFO [utils.py:429] [TEST_NET-beam_size_4_en] %WER 75.65% [7408 / 9792, 800 ins, 5040 del, 1568 sub ]
2022-09-12 19:37:24,612 INFO [decode.py:673] Wrote detailed error stats to conv_emformer_transducer_stateless2/exp/modified_beam_search/errs-TEST_NET-beam_size_4_en-epoch-11-avg-1-modified_beam_search-beam-size-4-use-averaged-model.txt
2022-09-12 19:37:24,629 INFO [decode.py:690] 
For TEST_NET, WER of different settings are:
beam_size_4_en	75.65	best for TEST_NET

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2022-09-12 22:09:58,666 INFO [decode.py:660] The transcripts are stored in conv_emformer_transducer_stateless2/exp/modified_beam_search/recogs-TEST_MEETING-beam_size_4-epoch-11-avg-1-modified_beam_search-beam-size-4-use-averaged-model.txt
2022-09-12 22:10:02,156 INFO [utils.py:429] [TEST_MEETING-beam_size_4] %WER 9.20% [324272 / 3525216, 35088 ins, 67760 del, 221424 sub ]
2022-09-12 22:10:11,157 INFO [decode.py:673] Wrote detailed error stats to conv_emformer_transducer_stateless2/exp/modified_beam_search/errs-TEST_MEETING-beam_size_4-epoch-11-avg-1-modified_beam_search-beam-size-4-use-averaged-model.txt
2022-09-12 22:10:11,180 INFO [decode.py:690] 
For TEST_MEETING, WER of different settings are:
beam_size_4	9.2	best for TEST_MEETING

2022-09-12 22:10:13,029 INFO [decode.py:660] The transcripts are stored in conv_emformer_transducer_stateless2/exp/modified_beam_search/recogs-TEST_MEETING-beam_size_4_zh-epoch-11-avg-1-modified_beam_search-beam-size-4-use-averaged-model.txt
2022-09-12 22:10:16,173 INFO [utils.py:429] [TEST_MEETING-beam_size_4_zh] %WER 9.18% [323616 / 3523584, 35264 ins, 67984 del, 220368 sub ]
2022-09-12 22:10:25,324 INFO [decode.py:673] Wrote detailed error stats to conv_emformer_transducer_stateless2/exp/modified_beam_search/errs-TEST_MEETING-beam_size_4_zh-epoch-11-avg-1-modified_beam_search-beam-size-4-use-averaged-model.txt
2022-09-12 22:10:25,344 INFO [decode.py:690] 
For TEST_MEETING, WER of different settings are:
beam_size_4_zh	9.18	best for TEST_MEETING

2022-09-12 22:10:25,713 INFO [decode.py:660] The transcripts are stored in conv_emformer_transducer_stateless2/exp/modified_beam_search/recogs-TEST_MEETING-beam_size_4_en-epoch-11-avg-1-modified_beam_search-beam-size-4-use-averaged-model.txt
2022-09-12 22:10:25,962 INFO [utils.py:429] [TEST_MEETING-beam_size_4_en] %WER 82.35% [1344 / 1632, 512 ins, 464 del, 368 sub ]
2022-09-12 22:10:26,517 INFO [decode.py:673] Wrote detailed error stats to conv_emformer_transducer_stateless2/exp/modified_beam_search/errs-TEST_MEETING-beam_size_4_en-epoch-11-avg-1-modified_beam_search-beam-size-4-use-averaged-model.txt
2022-09-12 22:10:26,534 INFO [decode.py:690] 
For TEST_MEETING, WER of different settings are:
beam_size_4_en	82.35	best for TEST_MEETING

2022-09-12 22:10:26,537 INFO [decode.py:950] Done!