log/modified_beam_search/log-decode-epoch-29-avg-18-beam-4-2022-05-31-17-23-10

2022-05-31 17:23:10,279 INFO [decode.py:472] Decoding started
2022-05-31 17:23:10,279 INFO [decode.py:478] Device: cuda:0
2022-05-31 17:23:10,402 INFO [lexicon.py:176] Loading pre-compiled data/lang_char/Linv.pt
2022-05-31 17:23:10,415 INFO [decode.py:484] {'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, 'valid_interval': 400, 'feature_dim': 80, 'subsampling_factor': 4, 'encoder_dim': 512, 'nhead': 8, 'dim_feedforward': 2048, 'num_encoder_layers': 12, 'decoder_dim': 512, 'joiner_dim': 512, 'model_warm_step': 200, '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': 'pruned-rnnt2-ali-meeting', 'icefall-git-sha1': '5e507f3-dirty', 'icefall-git-date': 'Fri May 20 01:47:19 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-6-0415002726-7dc5bf9fdc-w24k9', 'IP address': '10.177.28.71'}, 'epoch': 29, 'batch': None, 'avg': 18, 'avg_last_n': 0, 'exp_dir': PosixPath('pruned_transducer_stateless2/exp'), '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': 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, 'res_dir': PosixPath('pruned_transducer_stateless2/exp/modified_beam_search'), 'suffix': 'epoch-29-avg-18-beam-4', 'blank_id': 0, 'vocab_size': 3318}
2022-05-31 17:23:10,415 INFO [decode.py:486] About to create model
2022-05-31 17:23:11,591 INFO [decode.py:507] averaging ['pruned_transducer_stateless2/exp/epoch-12.pt', 'pruned_transducer_stateless2/exp/epoch-13.pt', 'pruned_transducer_stateless2/exp/epoch-14.pt', 'pruned_transducer_stateless2/exp/epoch-15.pt', 'pruned_transducer_stateless2/exp/epoch-16.pt', 'pruned_transducer_stateless2/exp/epoch-17.pt', 'pruned_transducer_stateless2/exp/epoch-18.pt', 'pruned_transducer_stateless2/exp/epoch-19.pt', 'pruned_transducer_stateless2/exp/epoch-20.pt', 'pruned_transducer_stateless2/exp/epoch-21.pt', 'pruned_transducer_stateless2/exp/epoch-22.pt', 'pruned_transducer_stateless2/exp/epoch-23.pt', 'pruned_transducer_stateless2/exp/epoch-24.pt', 'pruned_transducer_stateless2/exp/epoch-25.pt', 'pruned_transducer_stateless2/exp/epoch-26.pt', 'pruned_transducer_stateless2/exp/epoch-27.pt', 'pruned_transducer_stateless2/exp/epoch-28.pt', 'pruned_transducer_stateless2/exp/epoch-29.pt']
2022-05-31 17:23:42,322 INFO [decode.py:521] Number of model parameters: 84427758
2022-05-31 17:23:42,326 INFO [asr_datamodule.py:339] About to create dev dataset
2022-05-31 17:23:44,785 INFO [asr_datamodule.py:358] About to create dev dataloader
2022-05-31 17:23:56,217 INFO [decode.py:392] batch 0/?, cuts processed until now is 25
2022-05-31 17:26:14,481 INFO [decode.py:392] batch 50/?, cuts processed until now is 2298
2022-05-31 17:27:44,249 INFO [decode.py:409] The transcripts are stored in pruned_transducer_stateless2/exp/modified_beam_search/recogs-dev-beam_size_4-epoch-29-avg-18-beam-4.txt
2022-05-31 17:27:44,430 INFO [utils.py:406] [dev-beam_size_4] %WER 30.38% [26376 / 86810, 2798 ins, 8387 del, 15191 sub ]
2022-05-31 17:27:44,946 INFO [decode.py:422] Wrote detailed error stats to pruned_transducer_stateless2/exp/modified_beam_search/errs-dev-beam_size_4-epoch-29-avg-18-beam-4.txt
2022-05-31 17:27:44,947 INFO [decode.py:439] 
For dev, WER of different settings are:
beam_size_4	30.38	best for dev

2022-05-31 17:27:52,462 INFO [decode.py:392] batch 0/?, cuts processed until now is 27
2022-05-31 17:30:10,576 INFO [decode.py:392] batch 50/?, cuts processed until now is 2294
2022-05-31 17:32:28,880 INFO [decode.py:392] batch 100/?, cuts processed until now is 4668
2022-05-31 17:34:40,058 INFO [decode.py:392] batch 150/?, cuts processed until now is 6964
2022-05-31 17:36:43,391 INFO [decode.py:392] batch 200/?, cuts processed until now is 10119
2022-05-31 17:37:20,885 INFO [decode.py:409] The transcripts are stored in pruned_transducer_stateless2/exp/modified_beam_search/recogs-test-beam_size_4-epoch-29-avg-18-beam-4.txt
2022-05-31 17:37:21,336 INFO [utils.py:406] [test-beam_size_4] %WER 33.02% [74695 / 226178, 6881 ins, 26184 del, 41630 sub ]
2022-05-31 17:37:22,663 INFO [decode.py:422] Wrote detailed error stats to pruned_transducer_stateless2/exp/modified_beam_search/errs-test-beam_size_4-epoch-29-avg-18-beam-4.txt
2022-05-31 17:37:22,664 INFO [decode.py:439] 
For test, WER of different settings are:
beam_size_4	33.02	best for test

2022-05-31 17:37:22,664 INFO [decode.py:602] Done!