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

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
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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

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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

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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!