log/modified_beam_search/log-decode-epoch-10-avg-2-beam-4-2022-05-19-22-52-00

2022-05-19 22:52:00,810 INFO [decode.py:470] Decoding started
2022-05-19 22:52:00,810 INFO [decode.py:476] Device: cuda:0
2022-05-19 22:52:02,753 INFO [lexicon.py:176] Loading pre-compiled data/lang_char/Linv.pt
2022-05-19 22:52:02,878 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-1-0307195509-54c966b95f-rtpfq', 'IP address': '10.177.22.9'}, 'epoch': 10, 'batch': None, 'avg': 2, 'avg_last_n': 0, 'exp_dir': PosixPath('pruned_transducer_stateless2/exp-char-L-8-gpus'), 'lang_dir': 'data/lang_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': 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, 'lazy_load': True, 'training_subset': 'L', 'res_dir': PosixPath('pruned_transducer_stateless2/exp-char-L-8-gpus/modified_beam_search'), 'suffix': 'epoch-10-avg-2-beam-4', 'blank_id': 0, 'vocab_size': 5537}
2022-05-19 22:52:02,878 INFO [decode.py:484] About to create model
2022-05-19 22:52:03,795 INFO [decode.py:505] averaging ['pruned_transducer_stateless2/exp-char-L-8-gpus/epoch-9.pt', 'pruned_transducer_stateless2/exp-char-L-8-gpus/epoch-10.pt']
2022-05-19 22:52:20,710 INFO [decode.py:523] Number of model parameters: 88978927
2022-05-19 22:52:20,725 INFO [asr_datamodule.py:353] About to create dev dataset
2022-05-19 22:52:28,361 INFO [asr_datamodule.py:374] About to create dev dataloader
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2022-05-19 23:04:32,304 INFO [decode.py:407] The transcripts are stored in pruned_transducer_stateless2/exp-char-L-8-gpus/modified_beam_search/recogs-DEV-beam_size_4-epoch-10-avg-2-beam-4.txt
2022-05-19 23:04:32,736 INFO [utils.py:406] [DEV-beam_size_4] %WER 7.76% [25653 / 330498, 3392 ins, 9211 del, 13050 sub ]
2022-05-19 23:04:33,720 INFO [decode.py:420] Wrote detailed error stats to pruned_transducer_stateless2/exp-char-L-8-gpus/modified_beam_search/errs-DEV-beam_size_4-epoch-10-avg-2-beam-4.txt
2022-05-19 23:04:33,721 INFO [decode.py:437] 
For DEV, WER of different settings are:
beam_size_4	7.76	best for DEV

2022-05-19 23:04:44,687 INFO [decode.py:390] batch 0/?, cuts processed until now is 95
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2022-05-19 23:18:04,336 INFO [decode.py:407] The transcripts are stored in pruned_transducer_stateless2/exp-char-L-8-gpus/modified_beam_search/recogs-TEST_NET-beam_size_4-epoch-10-avg-2-beam-4.txt
2022-05-19 23:18:04,837 INFO [utils.py:406] [TEST_NET-beam_size_4] %WER 8.71% [36216 / 415747, 4883 ins, 7736 del, 23597 sub ]
2022-05-19 23:18:06,094 INFO [decode.py:420] Wrote detailed error stats to pruned_transducer_stateless2/exp-char-L-8-gpus/modified_beam_search/errs-TEST_NET-beam_size_4-epoch-10-avg-2-beam-4.txt
2022-05-19 23:18:06,095 INFO [decode.py:437] 
For TEST_NET, WER of different settings are:
beam_size_4	8.71	best for TEST_NET

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2022-05-19 23:26:33,536 INFO [decode.py:390] batch 92/?, cuts processed until now is 7997
2022-05-19 23:26:40,267 INFO [decode.py:390] batch 94/?, cuts processed until now is 8096
2022-05-19 23:26:49,310 INFO [decode.py:390] batch 96/?, cuts processed until now is 8216
2022-05-19 23:26:55,014 INFO [decode.py:390] batch 98/?, cuts processed until now is 8323
2022-05-19 23:26:58,734 INFO [decode.py:407] The transcripts are stored in pruned_transducer_stateless2/exp-char-L-8-gpus/modified_beam_search/recogs-TEST_MEETING-beam_size_4-epoch-10-avg-2-beam-4.txt
2022-05-19 23:26:58,982 INFO [utils.py:406] [TEST_MEETING-beam_size_4] %WER 13.41% [29548 / 220385, 3225 ins, 13365 del, 12958 sub ]
2022-05-19 23:26:59,630 INFO [decode.py:420] Wrote detailed error stats to pruned_transducer_stateless2/exp-char-L-8-gpus/modified_beam_search/errs-TEST_MEETING-beam_size_4-epoch-10-avg-2-beam-4.txt
2022-05-19 23:26:59,631 INFO [decode.py:437] 
For TEST_MEETING, WER of different settings are:
beam_size_4	13.41	best for TEST_MEETING

2022-05-19 23:26:59,631 INFO [decode.py:617] Done!